tag:blogger.com,1999:blog-73167008080305022402024-02-19T01:17:27.764-08:00lahanrizalahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.comBlogger18125tag:blogger.com,1999:blog-7316700808030502240.post-15635669667128773862011-09-08T07:27:00.000-07:002011-09-08T07:33:11.357-07:00Cara Memblokir Situs Web di Mozilla Firefox<div dir="ltr" style="text-align: left;" trbidi="on">
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idGAd9a/OBP0zREJeGcdMg0J+mbWZS7omwP1EhQGvPP+xTmizeMRPxYbbFPyo4gBSmxfWGjOEBVx7MgbnIYyTUU2Bb3uoNcd9i9Gg76Qz+NdmPXMTXsXZhfnZwKLC2H/YiTgDfk8Qa875PPg8bcF1gkEByQSWFwg4vfMQ3zuOb9nnjyPd145VMAT8M4vLkwDoO65ycWFaaImsILJzcBjok1w1WAe4T3E9FlnF/cGCBL+IKABhr5+p88d8XuigcWwzx1cnAebMolIKhZKxUIwRkGoaSqapqIbFDrHxAiJgkeJrD9z5a4QZQccEMcCXnPAO++emwQ0ZyYvzExecM9N+jyzMAfh4BPuJACNhX1OfR3yzwd9c/7FGZ9n2uueIrK4MLku4575MSKLC+OLC+N4CSgH7OIRP0hkcWGaUDh5iXCqk1bAGjgxPIMTxuMNZighGjzeFA8HiI8W9LoX52c8c9M+99zCzCRg6gRiNOiLBLx4cyzkj4cDhA4JEYIXCVlueIYImBXyDcZNhEnIDTwBdBLzhVj661Z/gFAUBH8SJU4MRECESYaZZJBJBmkq4JRk3EdTgXQqhJdSCT9NBZhkOBULxYLe4OJ8cHE+FvSmYiGeTiDVBIFh+rWItCImZYFSxCQeiFycT0dTCb9TaCqA04DVQTDN0lFYHelUBAYrjGaaCoUDC+658YnRs5Nj5+amx6BksZ6xjIn7goWKhR3wzvoXp7zuCc/82MLshYXZC/MzI/MzI7NT5/6uTA9DZibPEnHPjXvmJ0L+eVzJSNCN40dDXrgN+HZyMu65SXLv8E5gGisq6FvA+2EngJuJzQDgritM3yb42lDoDBWLBLw+95x3YXZhZtLvmU9EgnA24YzjAXGVYEQS23SDfen0mf7zoohpkUshgA+Y4pc4YzrflDju4gb2cvooMD1x71k6/DcllfAzySBLh9OpUDoVYumwyMVVKSVzdDIaDHkXYkEvm4wBnRKbQuCJpxMCQzkkztJRHAEHYekwkwymEv54xOOURHSRinmp2Nd6nzArXJxI0B0LL1IxP0tHFZFWRDqVCPo80xOjZ2enRgPeeSzRoG8BlgAwAYcamFhcmF5cmPS6pzzzY/MzIzOTZ6cnhqfGz0yNn5meGJ6e+AYEZybPAqDzs+fmZ8/NzZydmzk7O3UOn5qeGB4bOTUxesYzP5GI+mgqFA15oMQS0YDPMzs3PTY/Mz4/Mz49MTI1fh5/QgfCHiCqjBijYBwmGcWdJeEUEslfdzASmxDuRtDYUMR0Mh7yeRbnZ8L+xUQkmE7Gnb75BhQ6BdgFjiGI8xHH/+/Jhg8i4yzxNBUL4lojREriKQidkNgK8Uic7oiTVomBuG7/LTglFnYTAXQgNBWQ+ISpsaqQpuNh1D0pPCNzNJOIbDBDE2E/bFYqAnPTjYOTAxJo4iWH4zwPKzDomyM2ccg/71+cgUYOeGepmF8RaV1haSq0uDA5OzXqdc8kogGWjiM8B0ICXRHVv+6vwAydD/lnA95pn+eKNnfPjTrMzZmQfzbkn4WfFA3PRUKz4eBMKDAd8E77F6d8nkmve2Jq/Ozk2LB7bjwWXkzGA7AcoiEPMDo/M07oEy4EzC046TQVIS4sAi/EqUXKHtVViGMgO+NI9Kc3ARmqyCECj6SwZ26aeEXEDULEkXg/UOXxcCAeDsRC/r+p6IkN4NTsTv1ODkXej3IYWWCS8RA0VzoVsw3ZGWd2RowT0QA8j3AAVumsf3HOvzgT9C0EfXMhvzvknw8HPOEALDa3zzPt80yu/z/p80z6F6cgcBTwfzziEdiYqabFdCIVC6XCAYGhDIHl6VhkcWFuciTqdYd98zH/QjTgTgQ98dBiMuxNhL2puC8RXUxEPPGIJxnzQq3DeEjGfYnoYizsjgTnw4E52MEk4gO/KhH1RUOeoG8O/we884moDzcvlQjDGAVGmWQUPIokJDytK36MzxML+5KxMJOMQs9A1TDJcDKOy+UhqgavIhgnsAmBjfHpKPQJAh1Y5z7PtHtu3OeZjUe8SEch8hAL+6DuwgFPIhqAGUpoklAj4i0kOIg8GcJniA8iM5cxFduQSW0e/t9EcqkoL+KYBMwFFPMxySi4miQnYiE/0gyRgDfsXyQS8nkSkWAqHgHaUvEIQ8XwvxOLTnce/wOveDPSwUI6JfPpdDIOp01kaVOV4uEAvhGmMP7HAqCpCEdTAptkqFg84o+HA6lEWEinWDpOJ6JULBgPByLBxaDX7V+c8y7OeTxTC/NTCwsTPs80yCAWXgx4ZpJRfyy0EFiciofdbCoksjFVTKpcko76k8FFkY4ZPC2kwqmQNx6YtyVWF5IyHeWTIT4RFFJhmY7K6VjB5HU5KadjqpgsmGIxq9g6J/MJTWQUPkXF/CH/PLx+rJxo1JtMhhgmyjBRNk0JPC3wNMcmk1QkSUWoRCRJRQSeUWQ+SUUX5qdnp0YXF6aT8RBLx0M+j889l4gEEWlBLiARCabiMTaVENKMxDGGIhIQoLwIBIyMHQkkI+kPPkPSH/FaUgsCdRwL+RPRABUNRUPeoNft98zD1UYUCGQnpFPI++CsEFYnehhJHGRe0sk4sjkkH4ScPMKdqLwzFHETAbXE06YmckwC1gOyLDQVQUYY/CywSXwx8jdAFeFRjqagu0kuCiU2pHCYnBxDxcDTiHnh1DdE+NlUAhhF1SMVDTFUDPkwRWARApM4BgluZGgtTSbJT2S5ZD6Ni8VQMSoaioX88VgwGvGHQ97IFTUUgssic0k2GYmH3XTCrwiUzCckLp7T+YzMCVQkFfJy8ZDCxDQ2YUtMyZQUJhb3zU2dO3b8kz9/+s4fP3rr1Q/ffOX9P/3u8Ad/OnH43Qunj86ND0e8MyqXuLya/X/+z7+sFCxT4USOsg0xa6lIC5XylqKkNY1TVVaWGVXhTUO2TMXQJVFIi0KaY1MMneA5WhLZJBX3uGdnJkY981OpRJhPU7GQPxLwsqkE4tASx3B0Kp2k2FRSSDOKwKuigMulihwsOix+cAeuPPwKXRZQLcAzyQ0GG3lMJ6KglWQsHAv5Ac14OACSSsUjuOy4OxLHkI8DfMADkIBcGhCM+0W8F5wnzEtdFnRZ2oSKGOQ2dIXnmATKVfg0JfE0wqq6wpfyVs7WTE0kFYcksQnY4fxIzRspjCKld6gjdhYRO+snSPkmrhowiqAYzyQ1iUddBYr8UVhpqhKqAvA/yvvztoHTQykxqToj60QSWYFnODbFr9cvoq6Rp2MFW10t2gVbtTVBFWiVS2Q1zhLTqZA37lswBWY1q7Ex/8dv//HJH91z697+wY6mxorNlVu+V7X16obyG1qqt7VUb2ut3dFeX9beWNnZXL2nr+3xH9398TuvLUyeM2T2q4ulyyt5XUprModqX1lgSnmjmNOzlmzpQtZSlwr2Sim7VLBxTTSJJ3eaikYW52emxy+45yZpKiLxNKwmTeJxBWxdUUVB4liJYxWB12XJVBVwBG4NyvOI/cYzSRAK7h2uP0dTcCTgHxPPGB8kphpRa7GQHxilE1FN4nGLCV/iIKgGASni7jsRjG/B/5rE44c7CE7ahDo32AqazAlsEp4XS8clnsZytw15dSmH0ncn7K5UEqkSSjpIZbuzrpRUOZHSdJQAO+sXr1Q3O5CkihxHUwh4cTQFyGoSjyq7nKWjdBB10zj4xeUiGlqypmYoorPCn9RYFTKmaSi6JmmqqKmipckopcuYSjFjFDOarQk5U14rZUpZ3RAZlUvqXMoS0zIdnxk589LPnrlpV09HQ2V7fUV92ebqbddVbP6Xqq1X15dd76rZ3lq7w1WzvaeluqeluttVC+lrbxjqbtnT1/bgPbf/8eVfzU6cN2T24kqhmDMNVchaaj6j5mzF0gVD5YBRXGcsXRRCQGnEQkH37NTU2Ih7bhKaDR6CrSukJBctJTLPqaKgy5KhyKTyC3XfEscAhahhAESADNQDEdYUWZok/4BRUgtBMApBbBurBUxEKnjgEDt5lGQcibsMwXeBd1DQjCtgqsomIAYfQwNTMhaGiaOKHIoFDUVEbTLaP1BrR0rrgTxnD8YG/AG7zlJRUntKukQIRvHbVJHjmSQyCKgXgUYrZEyU04OwUdiKzpMvL66gfB0IJqcBjJKvzhi6pammqhiKbGmqrSsZXbE1eTmfMWReZpIFQ71cyhcM1ZL4i0X7Yt6aOnfq6Uce6G9raqne0VK9o6F8S9XWa5sqt7XWlnU1Vfa6anpdNT0t1d3NVV1NlX2ttQPt9Xt6Wg8Mdh3c3bO3v723rb61vry6bEtN+dbejuYXfvKEZ3YyayioZDU13tIFU+MNlUNDBSq4UUEBcwWElIiEPXPTwChNRYDRdDL+NzEKRa9JIonbWJpMWFlk6XQyDhqTOEaXBdyjnKU70UNiiPgUXAtglNAnMBr0ulPxiC4LuJtEzZJaDqLlSZ7822Giv4lRS1M3ofgXRXc5S9ckPhkLR4M+WIEABwgMlcuk2w7NTBCUvkOrYkUScHy7ltnZ5UMqprFUoN1wujyThGMEk4WhYrosXFwu/te/fPGXy2uAadbUcEx0XP31i4trS4WMoaoi56yHJ1+Rs3Rb1wBQ0IyhyKYsG7LA01TO1EqWUTS1v64t/8elVY1jFqcnnnvix3cc2OOqKa/ccl1jxdb2+gpXzc66nTc0lG9pqd7RVreztXZHU+WW+rLr68uub6zYXLX16tod1zVWbHXV7Oxsrt7d23r7wV33//CmWw/s3tXXUbb1uuv+5Tv7hvreffO1SHDR1ERD5WxDzFqybVzp5kEPGvEYYBepIpeKx7wLs5Oj54muB2JMVcLlzduGqSro0QNANUkk/gfWPwCHSj9ClpYm4wjFrOWMlwNhpCQN3i1cEdijIZ+HPKATUV0WcJ03dIahEwZVH8QqdRZv4BthFoN9iIliaeomQA3HhZ2HVSKytC4LUA2WJhNEkqY50gFCKvBxaEuTQZ9529jQJUJ6of6TGEUqi2A0Y6j/8dXl//v/+G//8dVl1DKTvoDlQvbLiytfXlxB447EMU4i/2Zbn2HrhqlqpqpZimYpiiFJuiiaslywDVPkdZ79crm0ZJuH33/3wFD/9muvqrzh2rrtm5vKt7dUbm+t3tlWU9ZWU9bvqu9rqetqrHBVb6vbcV3FDVeVff+7O6/7p+3X/mPllu81lG9prtoOaa0v72iq2tPXcdOe/h8c3LN/d19d5c6yrdc//siDsaBX4pOmxmctOWNKpMfD0iXYP4YiEkXJUAlgdGF2IpUIi1wKoDEUkZSfYwWaqmJpKtQFsEKMMVK37ixYyxgqlCSuHvQnMROd1YOwYtPJOFwlJ0aTsTB0PXiU9J2imYeYhYAvMeo2VBTpskAadLFKTVXZhAWEAD5qhBkqlogEYcCC5AsZ84u15UsrJcKagB3BXDFrXVwu5m0DJ4dC5qypOZUseScu6N/oCF0/M1w4YBQRDZlPczRVyJj//T/+8n/99//6xdoywLdaykNJrS0V/vrFxb9cXlsuZOFaOhvrnGX/eTuTNa2MYdq6kdGMjGYAplldtxSlYGjLGSvsWXjuycfb6mtrt29trihrrtjRVL69sWxbS+X2jrqK7sbq7sbqtpoyV9WOlqqtLVVbW2u2t9XuaK3Z3lK1ta1uZ3PV1rqdN9SXbW6p3tHVVN3bVt/X3rBvoOv2g3tuv3nf/t19Xa1NdZU7u1qb7rnjVpoKyUIKuh69XGgyAS+CJsBGqXjMMzc9ceHc/Mx4Mh7agFF0QKAHOmeZkKxp4M7augI1WMrZTiKAWZU1NdJNjlUB68KJUXj0iBZxNIUCTuh6VGIkIkGZTwNhxPVBBwR4ijTDYe1tWCrESSI+E8I1hiJvWsrn8rZl6xpEk8R0kooGA0KagdYwFHm5kF8tFZcL+bWlEjBKGj+KWQvdsZdXl9aWCmgQBTJw4dDVBFfJaaoSBiXNeqR7GPYKdH08HABG2VRCZOm8baCzCt9LeHS1lP/L5TX0AAHrziN/ww52ymgAACAASURBVCzO5FReNCRlJV8sWBmZ5Q1eKOjGSiarptmVrB32LNyx/8ay71/XWlPdULajqXxna3V5W01Fa3V5e215b3Ntv6u+p6mms76yu7G6v7V2oK1uoK2uv7W2z1XT31rb21I92F6/t7t1b3frYEdTX2t9f1vDYEdTf0fz7t72m/cO3HHT3oO7BrpbGuurymrKt9/7w1tOfvbJatG+vJIXGEoT2eW8ndHlgm1kdMVURJljBCapCiyXTLpnJmcnx+amx+IRvyww0LkSxxAeJT3QK8XC5dWVLy+urZbyl1eX0OmFGwGvA7X9MAMyhor+MyhDOKyIayKQROorUIgtcUwyFg4sLkSDPioagoOP2DZ0NIn9wTFYLeWBDcKvRPUTIUEe5xtUkdMk8W9jNBYKimwaBo2lqSvFwtpSaSmfWy0VnSqe9DMBi2gfIw34pAcfgN7Amv9/MYqQG8Eo7GMSIlguZMH0uAdw8pxhBNLTUspkcoaVMyxNkLK6mTdNMZmyREmgkl8ul/xzM/ffcVtTRXlrTXVHfV1rTZWrqqyroabf1djX0tDXUjfY1jjU3jTQ2rCro3lXR/OuzsbB9noC0MH2+r09LUMdDf2u+qH2pr29bQeHum/a1XNwqLu9sbqpemdT9c5uV/2e3q59/T1DvZ0D3e29Hc23Htj90ovP+93TxYyRNRRNZAu2XrCNrKFaqiRzjJhOaSLHp1Ke2amZidHZqdFENACMxsMBLF2wFG5izjKxI8bl1RWY6WiXhUWnSTxqM5wYJZE76DHYVyAzIZ1C/gX5QgTq6UQ06HXjBiFQCs8BB3T6RpYm474jeg2dcKVPen3vCWCaCImpKwKrisLXGIUFQzAqcawuS7osZQx9tVRcWyqVctnlQh7sCKUPAndu9LBayhOwkuZ6Z0s+IVRn9zMxRkljE8wM4jPJfBpXDb115BsJ3ItZa0N8lDT+O5uVM4aa1fWCZRUsS0qnbVXNGQafoPK6mtOUsGfh0fvuLfv+ta7qyp7mxoayHR31tQOtTXs7Wvd1tu1uaxl01RPZ1dY41Now0FLT21jZ01DR11Q16Krd3d4w0FbX01zVWV/Z1VA10Nqwr6ftpl09t+7t39vb0dVUW1+xrb5iW1t9zWBn28FdA7cf2Nfd1tjpqu9pb3rixw/MTlxAezThUUuVFD4tsbQhCwJNL85Nz0yMzk2PEYzi+ti6gu4x3MSMoRezGWi/Ly+ufLG2vFLMZQx1QwgdPgpMQNwgW1cQRgBAwRoI/AGgdCIKRwV1HQSjgcUFtIkCf86sEsnmEFeM9E87CRUqnsR2HO4UfwWj+G3AKJtKxsMhiWMNRTZVJWsaa0ultaVSMZsp5bLEqSddoM4dSpzwxUtOTiW42RAi/bq/WxGBUcQFUQRIkhYyn4Z7hE/hrhCvCHAnWCc7/BB0XuFpWc7qOpBqyrLE0llVLpp61Ot58M7bKzdf39VYP9je6qqubKmq6G2uP9DTub+7Y29H6+62ll1tjZBBV31z2Zbmsi2NO75ft/Wa2i1X1265umH7dU07r28ou761ZntnfWVHXYWrakdbTVl/W8OBwa47Duy5de/g7t721vrKqm2ba3du621tvnXf7gN7+m89sLu/y9XWVPP4Iw/OTY5mdNlSxZypAaOqwMocYyqilE77FmYJRmGPxkJ+ROXWnZIrMbWcZeJ+OTmMhCEBU+KNwc0FxRIjFf3+CDZDj8G734BR6HoknBALIhk+osedjhEODjPAuZMP6ImcgKNNg9u0lM/lLBM+IDDK0alEJAyMGooMjK6WioWMXcx+7dFv8HuId0JAiVedsSd8irAmSS99Y5+MddsZ1S3RoA8GEDCK7R4Aa/KlG8KxeBXoRFaMbEmSNbWsoS7nM3ld/XK5ZMuizqf/sroUXJh9+K4fVm+7vqF8276+zpbKnS2VOw/0d+/tbgeD7mpt3tvReqC3/cbu1kFXfXd9ZUv5VlfFNlfFlpbyzQ3br6vdcnX1Df9Sdf1VtVuubinf3Flf2Vlf2VZT1lq9s7uxerCtcXd32027+m7dO7irq7Wxsqx6+5bm6ore1ub9Qz27etp29bT1tTft7un83S9eiPsXi6aW05SMItmyaAicxqWzqqymWb97bmZidH5mHLs/IJbOphKKwDoxaqqKrWtwnmDqQf+CwMBzxBUjlAYtT/oo191qiXRUI9WElAp0PdozUfkO75YcioRXnVWaBJfO202IiRAt3LV1lPNXMIqAhakqwCgVjRBdb+vaSrGwUiw4MUpYisRBneqbZJWcwaZ1t/pKDILkVMlJkygarg7ayZGPJlE9bPcAUiQYJVkA0jPtTIA5N9XJ28ZyPvPvX1xcydoXC9m8rizZhi0Lv3nhp40V21uqy7qb6zoba1xVZQOtTTcNdu/v69jT7hpyNe1ua9nf3bG/p22gpa6lfGv1DVe7KrZ11JT1Nlb2N1f3NlZ21ZW1VW1zVWxprdzaUr65uWJbe215X0vdQGtDT1NNe215e33VUKfr4FDvzbv79/X39LW1tNRU1uzY2tfe1Fpf2dVS19vW2NlUf9/tt5468qnOpzOKZEmCJQk6z+o8SzA668AoasdkPo3QNzCKuC8JP5GOXyd1behIw2NCBARVRFnDZlVFDpkt4jOF/YsIQhEedaY6SbWxU78Ti46knYBUgk4Iifxf8ZmAUfwwTRJ5hk7GohLHapKoioKpKkv53HIhX8jY0PXOFDzBqBOgTow6c1H4CKIhToySRAjCFmB+RWCjQV/Yv5hOxtHcLLI0cksgYGIwEFCSYALCC7gWyE0Qal/O239dW/5qpbRkG2v5jCWzH/359RsHu7ub67qaal01O9vrK/Z0ufZ2tw62Ne7pct3Y1Q57dH93x97Olr6mms7a8s7a8qHWhn1drlsGO2/f03v7nt5bBjv397j2djbt6Wjsa6rqrC3vrq+Ea9XXUtdRV9FeX9Xratjd3XZgsOeW3UMHBvq6mhtqdmztaqnra29y1VW01JYPdLTuH+x74eknFiZGLUkwBA7x2m/w6PgFYFTkUrCCkMjA1cB9vJKbUBVDkXExyW4GxCv9uoBhvY5nQwKdwBT8Z+uKKnIoBpL5dCoeQY8GqSmBXw9lTdrgCEA3uErOEpNvp0bJ92oSfyX29DcxKrJpxJ50WSrlskv5HDagcwLRmZEncHGCuJAxL68uYTMzYh4APRsEsTQsVkTX/ocYJV9KtosCyxKLggSNCxmzWMgs5XPFrFUw1KKp/cel1eWM+deLpahv/qY9/Z2NNe31VXU7b3DV7BzqbCae+1B704297Td2t+7vaTvY03qgp+XWvrb7Dww8fc8tLz398KvPPvraC0++9sKTr/zkX3/52IM/feiup++97e69PXcMddzU3bKvrX53S80uV93u1vrd7Q0dNWWd9ZU9TTW9zfWDbc27uzoG21u7mmrb6sr72htqdl7f1VJ33x03dzbV97e7Dn/0niZyqsBqIqfwaYVPZ1VZZRm/e25q/DwwKvE0Su9WS/kv1paJz0QwilwazE1nRhQYBZs6a8xRSsLRFDLspK0X6xxWKbL80PXoRUtEgjDJwOgIr/JMkiCPGKDO4DfBK1knG+L5xA4xVWUTlqBzvxDU/+FUcDgSekWUOG9bsMchxWymmM0s5XPkGWB6uZBfLuSdCSrkOQgcSeje1hWCLVQkIOSBH4/MMgIlzssN87dg6wVbx3ZL2IDpSv1A1rYtwzJ12zJyWTuXy2TtTNY0LhayRUO+VLD/slKQUrFnH3t4sKOpsWxLW01Zd2N1v6t+oK1uV1s9GHGgrW53V9PBwY69nY039zY+e//Nb//i0SMv/+Tc278ee/e3Y+/+dvKDV2c/+dPcobfHP3j91OsvHX7p+df/7aGXH737uTsPPLK/94HdHQ/d2Pvw/sEHbuy/b9/AUFNVy84b2iq29zZW7+pwDbQ2NVdsayy/YaCjrqOhvGzzVT2tdTftG9y/e+Ch+++KhfxITQvplG3IBVvXRDa4OD87NTo/M35lzwGW1iS+lLPXlgrrlr2yDk0iAkDmtP6JbnXmkwBQksQnwILA5cK9QOwJuj4RCcZCfioakjgGEMI7nUans52dmL/kmKTuBCvHaQbgjm9CiQbxOQxF5JkkFQ0R2wKFAlAlxaz19zAKa5U8v5TPQZyKPu/Y6RM2IlQ/Yh+IFaA8Bz4T6qlJlSH4lXhCVxJIGWMpoxGAAqOlnF0s5PK5TMY2bcuwLMvGP8vI60rRkNdyZl4T33v91T097W01Zc0V2+DcICAPjO7tbNrd3tDnqulvrTnY2/z0PQfe/dUTp9742dh7v/Yc+n348zfCn78ROfZW9OR78dMfhU986D787vSHfzr3+q9Ovfr8p796+u2f/Oi1x+9/5V/vfvGB25754YHHb91311DnwY6mgYZKV9lmV8W2nrrKrrqy3saKzoYdHfU7a3de66or2zvUOdjXOdDb8e47b2Zs3TJVnqOxv5XCM9HA4szkhbnpsVjYx6evhNnhR65HSPT1FOgVAUCJ10jiO85GHbJVjBOjTrYjSXzCstD18JkSkSCdiCJ+BGsNhPptgBKYEhIlBSv4um9j1FDETST9AAxZmswzSfho5E3Q3ev58b+NUTwPpDqBS+JBAOV6qPlKlqyQMYE5GFVrSwViCch8GtXTaPqD7Q/lTnKthYxJ9qfdwKNLpQJgaluGruu6rpummbHNrCot25otsb6Z8Vv2DNTt3II4ETA61FoH2dPRCJj2NJR31my/e2/PW798cvSjPywc/VPoxNvJcx8w5z6kz35An/2QPv9p+sJR5sLniXOfR88c9n/2ru/oO55Db01/9NrYO78/+ccX3/vZky89es+Lj9z17H23PfnDg/ftG9jbWtfXUDnUVN3XWNHbVOaq3jzYXtfZVN5cs2NXf9vuwZ7Otqb77r2ToRPAKDYzk9hU2OcGRqMhL8ckkJlEkHxd1+kIdf89jJK9qje0lBFd7ywbdQKLdK1BF1PREPJM6KpIJ+MI1xMPXXNsCOLEKPHS8DwpQd5QfUJEl4VNyNISIxIYRSUHqUWA37Me5fkfY7SQsfO2lTWNjKE7e/o2bJ0M1wrkjaTZciFLvH6ZT6MnhGCU7NUNmF7JbWbNYsZwypXy6ny2WMgVC7lsxjIMQ9M0wzAytlkw1LWcGVqYfvXFF9rrq1w15bs7W9pqyjrqKvpa6na3N+xqqx9qrdvd3rCno3FPe31fXdlAQ9m/3X3TiTd/O3/07cCJd+gLh9jRQ9yFT9iRj9mRT9IXDrNjn6cnTqTGTiZHjiWGj1BnD1NnDyeGD8VOH/J+9v65t17+5NfPvvrkAy8+ctfPHrz9mXtufviW3ffs7bm5u6m7euvutpqbBlz337Jnf39rV1P1UHfLrr6uPUO9+3YNnDzxmSSyssRhA2uJTfnds9D12AYL1iFKade9om+QKDBKas/hrZKSOWdsyFk26uz73WAmgl9lPp2IBBG3JxvoIdrqtEH/pjhzSwT9MFpglhBfikR4NpENv3FrbV0Bj2IjHViKX15cuby6tJ4i+ru63glQKB34laRgz7lzbHF979xCxkQVCNYDzpJgNBLwkq4XS5MdxRP6FRcNuyfbet76Or9KWL9YyBXy2YxtWqZumXrW1PK6UjKVk4c+PDDY09VQ1d1YPdTeVLf9+oGWGuASPLqrrX5Xa+2u5urO8i139Le9+dzjU5+84fnsndiZD7ixo8y5j+Txo9LEUXnimDx9Qp45LcycYaeG0+OnuPFT/NgJfuwUO3aSGz+VunA8cPyj6Y/fOPLy83/+2ROvPfPwy0/e/5tH7/7VY3f/9IFb7t/f/fhd+3/+5APPPnLPTUMdu7tdA51NjTUVfd1tewb7nn36iXjEjz2sS3lLYqmQd25uemxhdgK9sohWAqPrwTuZBJ6QF8XFB48Co4REN6CEQHPDll5OX5sAFxjF5gwEo6SumbzNiUXiDcNpcxKqM1YKmncar5tI1QXpNxDSKVIfgHoZlBQhsfT3MEqkkLFzlokiMdjspDoLMEU5CCmaBkPjwpHfg/gowSj6DXAyOI2vU6nrAAVGSXT2yibOuUwhn4Vhapl6xlBzmiwmo3/49c9dNeWDbY1tNWXtteUNOzdDs+9qqx901ULXD7lq+uvLu3de/9Rt+07/6bf+Ex9FTn5Enz8sjB5NDX+gTHymTh9TZ0+pc8Pq3DlxdpibHmYnTiuz59WZs/LUWWH8tDB+Wpg8w1w4Hj1zeP7wn0feffnYH372zi8ee+0nD/75549++Jun33zh0T8+/69v/PqZZx66Y29n44GB9j09rZXbvt9QXT7Q3XHj7sGzp48ZqsAxCV3hFT6VCHvRuk4wyjNJqJf1EJ5CAJoxUIiofCPNtl7WSey/DeT3be1PDAASXZH5NHQ9CtOg61GUDZg6Q1cb/HRnVYbs2NPdGSBXHfsxatgP31nkYWkywSiOmzU1FM5A4/9/YBQMipIwYhiRMPuGCD+qUtaWCphAgi37oNNh2SgCi2WKOnxV5FDmSAaSkAM6D07KBpxP5rJ2NmPZlmHrSk4VRk8cufeWG5FPbyzb4qrYMtBSs7/HtaejcdBV099ctae9fn93867W2r7a7QeaK1999N7J918Pn/g4OXyYPX+EPX+IHzksjX8uTxyTp0/JM6el6TP89GluepifGlamzxkzI/r0eXHiDD92Qpg8xU+cZMeOB058MH/oT6PvvHT05Z+897Mff/SrJz757RNvPPfQGz9//Hc/efixu2/a29m4t6dl/0Cnq66ioXpnc11Vp6vxuZ88GQ15FT7F0zFT4cK++ZnJC7NTo5HgIkvHnfYowSih0vUw/tdxaGdIUl3fcZbABZhwFt6T7b3QVYJSfDhqiOFHAl50bZBUArwxp82wAaOY94KhGjLPiWwatXVENElUBH69YVBCDD9DAo0Eo9g0D+tGEVjsywzm+3sY3TDDhciGXbTJtuLAKEYUXFopZQwV5Ta4WMgdo3+feG8oc3QW+8EJKzi21geILy4Xye/Kmlo2YxGMmgLz6i9+2rBzc7+rvquhqmHnZlfFlpv62w/0tu5ub+hrquxrqtzb0XCw17Wnvb6vdvuPdnd/8Nxj0++/5j/yTvL0x6kzn9BnPlImj0vjn4uTx6Spk+LUSX76tDBzRpg9J8+NSJPD5uwFe35Mnz4vT51RpoeV2bPyzGlu/Bh17uPwyXfdR/40+cHLY+/9+rOXn/rdoz947dmHn//RHU/fe+sPhtr7m6tv7Gvd1dXa3lhdsX1zW1PdUH/X6PnTBVsV04mcKc9NjkyNn5+ZvIC9HYEYJ0ZxU1VRIOKseyfWJ7I+pBEPBiJolWCU7DxH2nexuwKJ4aMjEt22CASBldFfRKxboh7XnSQe5QQZQ1cEXkgziMSvW88bMYoYfgaxJxIfRXExQ8XgA8JlA0Bhj+Ysk/jvROAkkbobQDlvbwz1E4cJ8MKUnC8vrqyW8lgepI4QmTfoEZJGQzUk2cI8Z+nZjJXPZUrF/MpyCYMiUOFayJj/8dVlUl9ycbmoCOzFpTwT8e/v6+hpqtnd2VJ1/VUt5Zv7mqp2tzfs6Whor97WVbvjxq6mg72ufZ2Nu9tqdjWVPXXz0Nk//Mp/5D3PJ28mT3/MjRxNnv6QGzksjh3jx4+JkyfEqZPCzBlx5pwwe06cOafMntdmR4z5UXNhzJgf0efOq7Nn5OlT3NjnzMihxJkPI6feCR5/a+7jV4797qnXn7775Sfve/5Hdzx4cPDWPteejsbOhvKOhurdve1tTXWNNRUdLQ2vv/pSmgqbCqdJqYBnZmr8/NT4ef/iXCIaSMbCQjqFLBpidripmiSipUmTRJQ7ETJzYhSGLPGlSNSd9NaBp5x6n05EkQulE9FIwIs9PiIBbzwckPk0zGKi30mBCFQ8XuXolCaJtq4ZiixxrMxzmiQaiozK1w1BCaD2a4yS4ighnUKlAlYYekVw+0s5m/hGToCCTeEqkWoGJ0YhzkBp3jGVBuoenbUkrawILEPFYI+TbAdyKoi5wipFiH6pVLi4toI6NDK8C21PpioVMibiL3lL++zDd/pa6lChXHX9Vd315XDk93Q07GqrG3LV7GqtBUxv6mu5va/lZ3cfPPuHX3oPve099Hbq3KH0haPJ0x+mLxzmx4/xE8eFyRPS9Blx5pw4c06cOy/NntcXRgFQyz1uLlww5ke0uWFl5rQ8fUqY+JwZOUQNfxA79a7n0z+ceuWZt5657w//9uCLj9712G1779zVubejob16e0vl9v62ph5XU3NdVWtj7U+fftTvnrY1QeYTfs/k5Ni5ybFz2KqEioZ4JklqGNDpS9hIlyVLU0k/I0iOGHwkw0kMRFLbgWAQ6ptIrQl4kTQ9p+IRYBTzRghGwWvku+AAkS7zrKlxdErmORRnYUIa+JJgdINcyTORzCG+Q2RpbEUGMhNZupAx//rFxa8ura4tFRCZ/7YximQpLNENGCUZfGdtHik0IeMcoN+J/YSEGxidXFPwrhOjhq5mM9ZSqXDp4uqXX1z64vJFZF/RGnBxuQhoyhy9WsxSocVH7/9hW+2Orrqy1sqt9duu3dPRuKejoa+psn7r1f1NlUOuqiFX1e2D7ffs671nX+8jNw998PMnp957xXPoDc+hNyInP4ic/CB8/D165Ag3foKfOClOnQaJSrPngVHDPWZ6xk3PuLU4YXpGDfcFfe68NjeszQ3L0yf48c+YkUOpMx8Fjrx+7g8/ff+5h974ycO/e+K+p+86eM/env0dja6yzdVbrm2p3tHX3tTeWN1SX3nbTXvPHD+cMXiRjvg9kxOjZ8cvDHvmp+IRPxUNcTSVMdSlfGYdiGh21fA/rj/MHqDTWRRB8k8kHU2cKjhAoJWMoaKWD5XRdCLK0RToExjFjBF4b6RFhGRbYFEQR1lIMxzNyLyQMcycZZuqpoqSLiu2bti6kTFMSNa0ILZubCLTFEh4XOIYKhpCOyjIf7mQ/W9//fLfv7x0aaWEDCdgSkJOYFYYGcAoYqWFzNdD39BfS8rySfEeaSBxDgOBX481Siei8Dc1iXdOiiIYtS2jkM+uLJfWVpfXVpdJkTUelHJ21lAyulzMGEc+/PO+vva22h2dtTtbyjd31OzY3+MaaKnuqNneVrkF+n1vR939BwYeODh43/7+Z++79YOfP37+rV8vHn4zcuaj9OhnsbOfxE5/xE4e58ZPsJMnualT/PRpYfrs17p+/oK6MGq4xwz3mOG+YLgvGPMjhE2FiePMyKHUmU+CR94cff0Xn/78sXeff+zVJx/4tzsP3Le3++aulrbKLRXXXVW1+ZqOhuqOppr2xurutsY3/vgbVUxyVDDsn50YGR49f9o9NwmMor/eYa2p6+68hsmOxfW5RUijw4kGtxGAkseECBEkwjXM24bMp+GfkV3nCX3iQSTgBZWQQ6FCknT3w65bLeU1SWZTNJuiLU0vZnO2bmiSbCiqqWqWpluaDqR+A6NE+W7AKCJesF1WS3lg9PLq0gaAEiyCqOFLYgjiuj3wDYwi2ES4kySNbMecGlwpOI/AKM5ElwX0hADo8O4tU0eqM5vN5nOZYiFXKuZLxXzeNtaWCsWMcXEpb2vSxaV8Iux/8pH7+1317dXbUUSHGFNH9bb2qq0DzVW7Wmt7a7fva6t9+NY9j/xg7xN33fTWL56+8N4rs4f+6Dv2dujM+5EzH/lPvhc7e0iaP8eMH2cmTqQnT7NTZ4Tps0RAqPLciDJ/AXjVF0b0hRF15qw8dUYYP5m+cJQ5eyR67L2Zd14+8dJzR3/3/GvPPPzUHTfet7f7joHOgYaK6u9/b+e1/1y7YzNq9lpqy59/+sfxwDybCMTD7skLZy+cO7UwOwGMkt5laFIAFBhdvwsWeonQW4ssJckqO+t3SS0EUdBoAcrbBorxnEUnDBVD1y7ssVjIT2pK4L0REiXRcRTBZU2LZ9J0gtIkOW9nMoYJdOqy4kQqEVPVNm3oMcLWeeixgvGritxKMffvX1768uLKxeXiBowSw5RsrIBBnSjkW8p/3d5Eto0gQxmJjUGWsrP0AUlhglG0vKwtFf5yeQ2u/Wopn89ZtmmZ6/9sy8jYZi5rF/JZBGKzhrJWymEO3UfvvrW7t727sdpVsaV+27WdtTv3dDT2Nla6ym/ortvZ21DeWbO9q2rLwa7GB28aunN31z37en/+4x9+/NLTJ15/fubTP0TOf0SNHomNHEqMHGUmTtDrGOWmh8GjEGH2nDB7Tpy7ovql2fPK7Fl17pw0eVqcOMWNHmfOf5Y+dzR5+lPfp2+Nv/XK6Lu/f//nT/3kzoMP3dh7756+Pa7aus3X7rz2n3dcc1VjxfaOphpXXcWDd90yeuYzNhFIRDzTY2dHz59emJ2Az4S+UBj6BKNIoKxP+zXRtwPXgmR0nBgl5qO1PhwBFzxranCUcS+AB7KFBKmmIL14CBqSsl1nCTP8s2LWKuXyiiAyVFLieFs3wJSWpmuSTGBqKKqhqJokq6KkSfKmb9euE4ySqgLsAgJfBAOMiUm6XMijI49UM5BByOvVT1lS6ezcOYJsg4Mk8rcLSVFcQxYoLCRMLoVLtFLMZTMGMGpZlmVZGdvMZqxc1s7nrmxngNh+wdYDnrmH7r6tra6yvba8tXJrc9kN/c3Ve9rrCYnu7agbclXta6u9baDtB/2t+9pqD3bXP3Cg5+GDHc/c1f/nFx4a++SV6PlPU9PHUxPHw2c/ZaZOp6fPcNPDwuw5afa8PDcCUdyjkvuCuDAizJ/nZ87yM2f5qWF+ajg9eoK5cJw+93ly+Cgz/Bkz/Fn084/cH7/lOfLu0Zd/9sJ9P3joxt67hrqHmqpqrr96+9X/tO17363ZfkNzTVl7Y/Ut+/o/eOv36bg3EpibmxwZGznjnptMxkPAqC4LjtWuEoUGskBpIhx/qHvnBkwkmAMhcvXhGgAAIABJREFUnhPS6LosQM2iGg6m6pUpQokoMIq9IVAo50wjwVB0Jj9RbrGUL5iqxjNpIc0aipqz7Ixh6rJCAAqMapIs84LE8RLHb3K2+xCMIipLfgk8lbWlwtpSYbVUJDBFV9elleXLqyvr3dxX+hLBr0v5HBYx6RtBgB32IqFSxD6cVwoYhR4BRkEA0PWkwCBjqKahret6G1mlQj5byNurpTyfppbztimlV7LWicMf9rTUt1bv7Kja3lOzo7tu596OhqHWWlfF5q66nYOumt6G8u66nUNNFfvaag90Njx0y+ArP/3x4ddfPPbGL1996u7Hb+19eH/7c/fuP/TKT72nP0xNHGdnhvmZs8LsOWl+RJm/oCycVxdG1YVRwzepesdlz6gwf56bPctOnUlPnk6Pn4oNH0kMH4mdPhQ7+Wnq9BF6+HD8xEe+w38Onvj45Ou/+uVDt9+/r+fWPldnzfbt13znhqv+t+3XXlW55braHZs7m6v39rf//jcvMLFFv2dybvoCfKZUIkz2JAMErfV9YixNRTwfCTyUlZVytqGI2PMQvZ1gO9IKQapLcfERGkdUGwWT2KQIJikVDcEeJTt1woEB4lHaR9JIJIloaXIpl7V1TeYFIc3oskQCpSTpAG2MzdWENCOkmU1OqxmECkOQoWJkYa0Uc3+5vAZnheyKQ5KZl1eXMO2YbFCBehGStySWqJNBnQMaSc28LgvYJRX7yWD+FUvHMaMI2/etLuUKWQNjFHOWbplXQqS5rG3bZjZnLpVyF9dKSwXb1gRb4WyJoXzuf73n9s7a8v7Gqpbrrxqq2bG/vW7IVdNdX9bVWNHTXNXTXLWno7G7tqynZsdQY/mBzobH79r/1m+fPf3hH+aOvT/xyZuHX3r+1w/d8eCutju7639+381n33wpOXrc9E6Ks8Pc1Clp+owweUKbPy/ODotzZ5XFC5pvQvaMSgujsntMmBthJs8kRo5FTh+OnT6UHD5KDx9OnPwwefIj9vyR4LH3z7z529d/+uN79/f0NZe31Gzdcs3//r3v/k+br/7O9mu/W7nlmsaKrd3NNS/82yPuqbN+z+TU+NnxC8MoK4lH/Ajm52wNg4CvTABMp2SBMRQRmyJidCCmpOJKkul7GBiJa46hqWR2KD5FnkFKNpUIYwvwZDxEpi1iHgOGQGO4GcaZflsQWxVZWkgzG3pC1mecMqrEyEIKIwComD+VCG+COUgqOUxVQmM7lAhME+xTguQNSTmS9nlsWIe0u7G+l05+fScwgkuyu4kzGuXkUQSYyMVSxDRNRWJhXzIewsQmWWCws1wha2DsZ8ZU4NdnM1bGNi1bs2wtnzOXStmcrVgqbytphYkd+fPrB3rbh1pq+2vL2jdfvadux8H2+j2u6p7mql5XzUB740BrQ0dNmWvH9b3VOw52Nvygz3XPjd1P3n/wF4/d9cpTD330m+c+f/XFz1998ZVH7310f9/d3Q1PHOwfeevl9PipdYyeUueGM74xeX5Y945pvjHZM5qePkNNnEpNnUlNnUmOnZQXRlNjJ+NnDlNnD6fPHU2e/jh27J3I0Xd8R985+/bv3v75E/fe1NPZsKO64prvX/2/Xv0v/7Dlmn/ceu0/VVz/vabyrR0N5U8+cvfk+WOBxanxC6fHLwwvzE5gx+SAdz4ZD+FqYIdbbHWI8arY7RZDJbGZFECMfXHJ3N6spZLdkzEXGZsvY79cbJaLQRohv5umIhyTSMZDZL5COODBjtuYvYSZIRuGRREhmyQnIlfmM2Hn+PXBa4FUwk/FvLGwOxzEPujzm0g5jLG+jQl0PUdTMHvRoUE6kknhEmHHi8tFFKHm1qcdO1PnJPFD2vQ27MG0YWcVsrIxejka8mI2OkbzqhKLa4q7YumSpsqmodmWYVuGaSimodiWms3ohaxWsNWCKca8sw/fcXNz2Zahltruym39lVv3t1Te1NW4u62mz1Uz0F4/2NHQ31rbWr6lYfPVPZXbbu1uvq3X9YO+5vsP9jxx577fPnbP7358909/uP83P/rhrx647dcP3v7Y/t6nbh5865mH/MffRy6eHftcmj5luM+zk8f5mTOKe0T3TxqBKS0wrQWmFc84P3ueunCcHj/FT5xOjx6jTn0SPfZe6vSHwujn7k/fPP/OK+//+pn7bu51VW/eue2711z1D9de/b9svfaftlzzj2XXXdVYtsVVs/3e2288eeS9wOLUxOiZybFzGK2GYQkYBYjRORjyRIb+YMYhJiVg/3mMUKKpSCIaANoIEMl0PBwEnyWDozDPLeCdxyTVVCIMIAKRGCgFpJLZdmQ4kVO+MZdmfWBaMh5aHwnko2Je7MiOwQHRkGcTMWlh8KI/AQU1CPYiP0tsVlg8+W/uiQf8wSskMU5SS5X75taNpOzKWeVKKhigYqCkMIAwnYoZqoArSEbNkiHYAs/KkqAqkqbKisxLIiuJaVlidYW1VD6jsic+fa+7vtJVsa27ekdfzc79zdU3d9bf3N20u62uz1Xd31bX66ppr9vZsv37Ddf/y+66inuHuu7sdx1or/rhkOux23e/+KM73nn+8bd/+ug7zz/+3A/3P3Xz0I/3dv36wdv+9NT9c5++kTx3JHX+aOr84dT5w/zEcWrkMDVylB4/zs4Miwsj0uK44pvUfVOad5KfOUePn4oNH4mf+ZQ+d5Q9f4Q6+b7/0JuzH742/NZL7/zyqTtv7Ggou3bb5u9c/c//5Zrv/c/brvvulmv+ccc1323YubmxYvP+oY4P3nrF75mcHBtGSxPQgJkyG2ZWOZGBsTJY6oAmmf9Jph5iJ2RMhyKzlMicJGARXxcL+zA88srg0MU5Mk53w7hl51xdMpIUNjTaWRnqG9NN12e/bJxJRFOhTaT+Cn4cApOpeCSdjMO/g/Po3HwajuG32wBI7Za0vjMgPDtEN1GmQIQUfWHrQBQu8EwSNg3sUSzWVCIMLYbRTVQsiIEpMIzYVJJnaJ6jBZ7hOZpNJxk6TqdiiaiPSYToqPeFp37cUr75YF9b87br9rc1HGyvv6mr8cb2hoGW6t7W6v722s6m8uay66u+953Wzdfc1dX2zG0HHhjs2F279cbmsrsHW/bVbrunpwm4fPH+W39x783P/mDPyw/f+fZPfnThz7/zHHordvqT5LkjkZMfJc8dokYOq+6R1Ngx9+fvjX3wx5F3fj/x4Z8Wj30YPfdZ/Pzn7NSwPDcizwxLk6eF0c+pk+/7Pn1j6r3fn3jtxdeefeTmgcbqrVdt2/yda676h+9d9V/Ao9uv/qeGnZvrdn6/r73uD7993jM3Cl0/M3kh4J2HdQjVfMXgc2xfT57E5cI2yGSszN8wFh0fdKIHE+gwMIkMpMMk5sWFaYJ14JJQIxmwtBGmjrkd35y17HWOMCVzTRPRwCZSC6Osj7VFTUkqHoGRipZqgjDSXSSvT00mFS6kiIu8+T9TNkuqHK6Q67ohT3Q9jHFTEzG3CcMooKFkAWVgaYFnRCEt8AzPpdg0xdJRJhHiqKBvZvSem/f1NFTce2BX87brDnQ27XPV7W2tGWiu6mos73FVDXTUddTvrN96dc3V/9hfvuWxG4d+dd/t//r/UvaeUW2maZqwz367M9vT3VWuartsE0wQUYBAIgpEzsaAjY1xzjnniDGYnHPOOUeBRBZBOedXkeRQubtnumd2Z37s+X7c9lNqqvs7357zHB9ZSAJJ13vn+7riw5L93c9HkR8ej3t6MuGwtzPZ8qt4ov3TkwkvzybdTgi/GhOYefV405sHQ0VvGK0V3L5GRmvFamcVq7tmpqmkpyC1+MGVZ2cO3UyMuB4fdu9o7PMzSSUPr7VlvZioyp9vLef2NMjG2mXDzbzu2smq3Pbcl1l3L8QFEVxsdjvgdu03+9J83+9xFrscrfc679/r5YzzxNsE+bqlPbtDm+ifGO2bGB2YHB+CdihgDni3TRFmqsVtChHABLofGT+km4hUPU2155CCHtKuRQpv8zOTSDZyhTEL4sroQADwNzHAZ/XDpfkZU3kx0PqBA9I/IAm0wpjdYVp6gPxJJuIDZx80G9CYjCmat81vw9wrsp3Q3kWSAL/eTDAdMVR+Zk2HeAPyTchGQTGCw2SIBWzgQQdHA1LKgFRkjxUSoVwmlH0yFWyVlK8UsYY6m47EhkT7k45Fh8T4uicEeh8M8IzxJ4Z5uwZ54QGjgUR7D6vdAXYWyf6eb86fqnp0O/vyqVdnjhTcvtCQ9jD72umb8cG3EkKenTxY9+pO+qXkjMvHCu6ce3L8QH3q3dHSt6udNYLBluX2qvmm0qnqvOGyt80ZjwruXkw9f/TBsbi7R2IeHY9/dT4559b57BtnM6+cLLhzri/n5WpHJau9nFqROVWd15mfmnX3QkyAi4PFTpz1V5b7vrAw+8J631d4nLmLtZmXM87LxTbQx/XFw+tjQ53UsX6QtZ0cHwKtpsU52gxtHH3fC7NToCo2S5+YoY2DpCXcNv0v3DM9NUafHIUDD6BPjk5PjW07IL8Er2yqkQmarki+DA78atM7TcH6SYzzMzTRj7aFKKaikjtQJwAwatCoQHRmZmoChqsBagijaMoLeXC0SfhrjEL/DSwxMsOgGWAq4wRlNggqkDiYiM9iry6CRihk93DFgy4v8iZ/owjFXeVxVz9pyLIXuMszlQUZcaF+Ed6EKF+PMwcjEoN84oN9YimeIT6ugd74MH/3CIo72c3GZd+XFJzFxQhK7eO7k6W5A9mvW1Ifdbx91pP3eqwyu/r5zbbMJx3Zz6Ybi99eSXl9Pinr2oknxw90571c6aiWjXcpJ3t5/U3zTaUDBa9bMh6VPrycdj756cmEZ6cOpV85WfHsdkduKr2pXDjeIxrt6it8nXf9VMmds+PFr3l99bSa/J6iNzn3L0X74233/s7K4vcWe39vaf7l/j1futhZuNlaeDnjvF1xgT6uT+9dGeprHRvuAYyODfeNDPZQxwZB4nZidODvHurY4OT4EHVsEN2Gp4+P9G87Y8N9Y8N9MEMN0ATswnYKwA6kdUHDDhTq0VVhqrNoKutqKl7KZX0WTvosDYrst6ngFtJjgts7tml5Ac/58sLsHH1yfnoKOPtAShRu/yOx2m1Stugg+Vp4CmNuGiRJ5+iT6ICK7qeHMWaRahsSmYSLEj4CeP/giZYXZ5iMefbyJ8cE75m1Mre0QOOzF1iLtCunj0RRPA+FkY9GBSaFkg+QifFBvjEBnmR3B193u8hAUnQg0dd5v9u+LxKIzunnjnW8fjJTWcBqrWE0lNOrC/vz06iVOWNlGcPFaXD681+2pN2rfHS58tHViYps4VCrdmZobXFcPNI+XPa27tWdwltn315JeX4y8UIk+cmJhFfnjubfvVRw73L2zXMjlXlLHbWsvgZWd13d8xs5V46OlaZPVuWO1eTnPbwCdtTS7LcWe3+/b89vcRa7nGz2ER2sSY42fu4OAV74V49v9nY2jI/0Tk0MT4wODPZ1jg33LcxOgbwsRIdgKRF6ADrwiX2WD/1021RTHpk6U6U8U2xBsm+q+41EhKljg0sL0+DuIK4FnCEdZRDnRREIUipEYsyQRW2T30a6c3z26o7FWfqvD2NuGsC0MEMDJWY6dYxOHdsGLDjoYX/3oMeAljOgc5ZGnZmamJ4cR2eWRoXXBDiaSl8ihVYUCcHnDp/XrzC6yFqZW1mcYjPo0+P9Z4/GxVK8Dof7J0dQkoL9DgZ4Rvq4h/sQyO4OFC/n2FCfSLKbj8M+T8udJwKIBdfPDrx9uVRXJuxq4nU2cDrq5xtKaDW5k1XZ1Mqsqeocem3eZFX2YGFqZ+bj1jcPF1vKVVN9hvlR3eywYLCFWpPXk/+q6vG1vOunsq+dzrp6Kuv6mfTLJ8qe3GzNelH6+EbapeNVz28vtleKR9qZXdWDBS/yb5wcLk4fry0ofnbzQKCbndkX5nt/Y7H39+b7fm9r/gc8zpzkaOPljAv0cgn0cX31+OZwf9vYcA+YQxp1ZGF2ConKQdkIuRok5AxZDojigQoclJ9MNdW3RZ9IOxg9DP4LN5AGOMhAQuULQAxPQSmU6UF1UFOlwk+lg9WlbQeKUyBawl5h7ECAA+jM0ScXZmhg/ABS8O8sjTpLoyL7h2AHaEai3/9/DjwFWWJ0/6f/fo6v4TI11RJG1T4oqcD75LOWQaZbwF7hc5aEvBWQq2Mz6H3ttccTIhNCyUciKUfC/BMCvOL8SYEEx0APPNndIZzsHh9ODvKwJ1r9IcjB7F5CZNOzu/SibF5Ltay/VTrQqhzrEg+18fsb2N1VzM4KZmfFakf5YnPRZGXWcNHr0dJ04VCzcWHMMD+qoPUxe+vpDUVTdQX9+akFN8+knU/OvHLyUjTliK/rpZjAt9dO16Y+KLx/Jf3y8fzbZwcL05hd1UutJQMFr/ryXlHriypS7x0Mdrfd+zuzPf8T4lEbs6/dHPZ7OeN8XR0iAkhBvm4vHl6njvZMjPaNj/TTJ0dXl+bg6wcAQRXTRCl0EQpGSMwYiXVzmAxUQ0UVK+S1Tcuc6CsAqfa5aSpo6aJWE7hyqGQh5XbQhoS/AaCPJMFRfQDBlMNkgJzn57PKWV1hLS8xlxgriwvLC/OrjPkdSLkMiHuQEj1AEPw7RIpwTO3wL4Wuf3xAn+XX95gSDKG9GamQh5JTPmcFiaRDCZDHXob+h1TERZURqYAD+sdSAUcqYsslXJmIKeQy+KszzVWFyXFhyTEhR6MCD4f4HfD1iPVxp+AdAgnOAQSHmABSYhjZz8nc3eKLRG+ngutnxwvTV+tKpV2N6sEO+VC7dqofo/VitO5Pg8mDDZye6sXmoqmq7LHS9IXmEuVk9zpjQjc7LJnoWumunW0uXWirmKjIrn12s/7F3aGSzGenDiX5uIQ6mEe72jw4Fpd352LhvUtvLiUX3784XJw231hAr80bKs2Yaiwpe3knluJqs+e35nt/Y2W+09L8Sxuzrz2cbXxdHcgEp+gg7xCy+8tHN2gT/ZPjA2PDfUCJLxVxoQYEHxQkNBAvTk+N0agjYG6np8ZQpARFzV/7KHguPAsC1qmJYYhN4YwN902MDkAPFtJW0MaGK2R5cWZumgoitpDrQNwF9hWgbKqyDCWzT8ekIikVCiQCvojH5bNZgFf2CmOHCdHjJy0zHmuFtbw4S6MuL8zCNgIUhtSfiVX/rw5ipzBNubC/1eYxZcaCHh2mlMjEPA6TAZ/g8uIMtFLgTUJG9ek2ny0TcqUCjojLFPNWpQKWmL/MZy8ImLMl2amHowNPHAw/Ekk5FOwb7e0S5elKwTsEe7gEEhxj/ImJoX5ett94Wu68GOXfkfZwqa5I0Fql6G3SDHcpRzoN00P62UGM2ikfbRIP1okGajmdlYsNBfSabHpNNqe3DqP3GeZHNdODUmo3u79xsb1yqbNaTeun1eT356dNVOUX3L30+sKxR8fj7ycfuJkYkUIhvjybVPb4avql5IbXdxZbi/vzX9LqCyfqCrPvXQz1soOcydriKwuzL3AWu4h4W2DZjQ7yjgj0TH9xb2q8b2piEOaeIMhbWpgGcIAvRtYUxaMztPH5mcnVpTlUTIVKPrhjpGCNQoXFORpKjADZgDAwt6yVBZDdUclFQh5zdWkO7AX8VC7hQ/kFqq1yCR9KMRCAyiV8UFP+LKgs+6Sy/KmbowSCKq1KiSmUSqlMLpZIhQIxn7MDleXRDj+sUy3M0BCPDVg7MZ8DoqAoQ0fazJC5/91j+mBTg2pqhlHeJuR+0lqFuQQee5m5PA8BFlhWUx8BxXwBewUcPXeVwV1d4LMYPNY8a3matzKd/uxufDj5xMHwwyF+h4J9Y7xcwt2dKM72kZ7EEAI+2o94OMTPG7cnALfn6Ym4kYI0bkuFsK1a2desH+tVj3UbZ4b1s4OG6T7VRKtspFE8WAcYnWvIZ7QUi4ZbNNP9utlhjD6goPUJRtqYvfXs/kZeb+NsXRG9tojRXjNZUzReXdCZ9xo6VdcOhj48dqDi6fXSh5fLH18eKX0911g011LWX/r2ybkkfzdLO7MvbK12Wlt8Zb7v9w5We9ydrANJrkGebhEBpPgoSmle2tR4H3Wsf3ykf2F2CrAFcblMzINuO7TjTf0M+HcRn4UpJWhYB4p3IAlrKscNPWdUQgFYQ40Plf2h3Q8tFebyPPwucOV6jeLDlhFIKwCF8CcpZUIk/f15duTT70UYhbknmJszanUwnocplJhCvkMi4IL7Bs4d2MaEoBVkT8GycpnL29KubfkXIPXXx9TLQ6iAFMWR7vIvjQcOU8BdBVlzuYQPoIR7QPcXAnNUn5KJeTIhVynkSQUsEXdFxF2R8JnIjr56eAMwCuN2MV4uQXicnx0uyosU5uEa4+txNNSf4mQZ5WKdff0ktTST21LBbSqXdTfoxrqUI+3qyT4ltUsz2SUfbhT21/B7q5jtJfP1OQtNhezuKvFIK0bv00wPqqb6FLQ+4Wg7d7BZPN5pnBsVDbYyWqvGK/Po9aVzrVUrvU2Mrvqu/LSO3NT27BfD5ZlTdQVduc86sx7ONRbRG4qa3j65eijcx3mfo+VXtlY7oc/kbGvmam8Z4u0e4u0e6ud+/HB0e0MZbaJ/fKR3cnwI+uYC7iprZUEi5MBM07oBAwiikRGtWgYjSFIRV6OSGnUqGD3BlBIwBBqVFMYeYI7HoFVq1TIYQwGHDg9WyUWoFwWjKtCyZ68uQj4E0yRatWxrXbduwOAXIYlvpO4MXyv8akwpMfWxsB1q1Opgn2lNpzdgej2mMWiwHVIhD0pOsI8Cu8swtQn1TrRUBXwhps1M01X/bfSn6Jh25yGcgOYnKKbB65gW88UCNghZq+QiaHsARsFDCXlMTCmBWTK4Rg2YwqhR6lQSTC7E5EKtUqxVCTEpV85bev34VlJM0OnEqAMU4uEQn0gvvJ+jlaeNZYQ3KYToGuPrnhIZEEHAxXs6lN67SCvL5DSXsuqLRO1V6qEW2UCjdKhF2FfHaitmNOQu1GXDv7PVmcstheKBBuFgk3qqR03rV1B7JBNdvKEW3lCLkt6PTfVLRzoE/a302qKljjpaQ+l8W/VCe81SVz2js04w2rnaWz9WmTnXUsTurR4pfT1WmV3+7ObZGH8fhz1OVjtxll/u3/P7/WZf4nHmeJx5iK9HmC8xxJdwPiVhpLd5enJwYrQPEibkndUK8U/fv3+3od9c08L4kk6t0GsU63rN1rpuTa8GREIDDwbtAMdg2Iw61YZRs7mmhWPUqcCmYkoJUguH+ApsKthgiZDDZS2tLs1BlAkZPUxXrRuwrXUdzFLB6I9eo9BhchTCKaSftJZR1KeSiUHj1KDRwnA+wNSo1Rm1mh3ARguwgxUClUwMRg7QA04ZWEhhZtbwWaMX0fobP9POI2ZnU+5c08160+GSbdSYaOoK9UWlQh6oAkBrSshlqWRimDpFW1DQOF3TKw1auVEjX9Mq1jCJVs5XCVeLs14djCCnxIfHh/vGUDxCvJx88TYkZ2uKJz4ygBhNJhwO9jzo7Zjk7Zh58chEYSq9+DWzPl/RV6cZbl6ozOx6fXu64k1v5q3215cGcm4vN2bxOkuYLYW8jnJsrH19Zmhtdkg/O4jR+2STXaKJdtFEu2SiSzrSoZ8ZlY/1cnqaJSO9wpEeZk8Ld6BDMTXIG2wXjnTKJnsEQw3LHSWLrYXTTbnTzUUFjy4d8nclWX/tYbvbzuyL/bt+62T1jbuTNcHRJsibQPZwPhQVmPrwBnWgfZY6ODHcOzE6sDA7xeesgHcyaFR/+vE7JPGzroedYJlB84nVddOog6U5uViAFkJMEwZTWm34kfqz4jzqxcA6KJgVmIAGqQYobQKBnlIqAgDAIJvpYD+0M7UquUIsEHFZMoHAoFavaTQqiUQhEumUSp1SacSwDZ1uU69f12qNGGZQq2H9egdMs8NoCIwswWwe0DuiRpHxsxwjGoVGJKBoAhwtJG38rUon4s95b6LXbfpIQD9ir0QDK1IhD6oKkFrBqi7opv3CgW/APo/oKtZ1yg29yqASKUUspYBZXZR5KDroSFxIXKhvONmN7I7zcrUh4q19ifaB3vhwX+fkMK/D/q5JJPvU4zHdafemS9IWKjLGc56MZD4cTL83kHFvpjKNXvG8M/1yd/qVpcYMSU8Fr61E3FW1Se83TvWvzwytzw1j9D7xeDt/tEVE7VDO9IkGWzXUAflYj2S4S0kdkI31i4d7dDNj2ulRGbVPQe2RjXdw+mqW2osZbYVzrQUT9dlPLxxKpLhFezt62++1/eZfHPZ95Wq7z93BysvNMdzfM4DkciIxqjjz5TJ9ZHFqhDrSRx0bRBiFr+bPP32PdO7W9To9pgaCmnfra7BwB7NsaOUIfc5oncOU6131WaHGtKcNvObg9zRKGZAwsJYXoczOZS4LOExMIYXvHbUtYewTbsP3pZZKpXy+Uixe02jWtVpMJlNJJHqVSq9S/RqjepVKjyl3mE4ZA+qVUhGEnmDS4GI1atWwsf7uszA9Wi8BhJmyDJiCDy3Roz07UyJ9U32mX9MSwWLXrzGKmMvBSG8YNSCz+X5d+35da1BJJNwllZDVXld67GB4QoR/TJBXiI+rt5MVyWm/h7MVydXa2802kIhLifBJCSElkewfJQbXPLgw9PbhWPbjvte3h98+oBe9WqrN5nWWMFuzO9Iu1z06MZx7f77yzUxZGquxcG2yxzDZtzY9aJgekE90cgfrOUP14ql27eKwmtaPTfXLRjvlYz266VEtfURLH3m3PK2fGdPOjKiovcLBJlZX5WpH6UpH8XxbYWv244vxlCMhxJRIX0/cNxY7/7vL/m88HCwJ9vv93J2iAn1C/Yg3z6d01peJmXPL0+OTo/3UscH5mUkeexkwuqbDYA/i49Y6SG1pVUqVTKpRKtZ0Wlhc1mNKyHqVUhEsSqD9z/9vjIJTRg+AqQywo8A3vKV8AAAgAElEQVTGBd1soJPRqRXw5cKGneloMtAYbq3pMZlMIRJp5PItg+Gd0ahXqTRyOSByTaMxxSgAV6v6vM+Etqrh10MqAx4WEiPYvPvx2/emPA6mOIMBZ4RRhF1Ew4RG8f+uWCjy3aYjzyIeG/l62JfVquTAa4LY8xDJyoZR89279e/eGdcwmYS7opHw+9vqj8dHxwb7xAR5h/q6Ee3MCXZm7k77iXhrovN+spvN0TCflBDSYS+HB4eC21Nvd6be6np1YzL/+VJ11nx5+lxFOr08bakhs/PNtbKbyRW3U+rvn215fHmyIFXcW4eNd2mpPTpan4beo6J1icdbucMNrIFa48KIbmZAPtYlG+3UTY9sMqbWF6j6mVFsalBLH5SOtjE7K5idZczOssWWfHpdVu79s1ePRJw+QEkMJuEtvrLY+d9drfaQnKw8HK0BowfDKW+f35sa7JBzGSszE7TxQRh6Qhg1atVIavHd+ppRq8EUcqVUAjCFjxeW5mA1HsgdNkwEWlHQBfdsmxwCwMH3DjNGmEIqFfKQ5A3MWgA7GryyKbsEohGFdTylWAzO/ePGxndbWxs6nUGtBlCua7UgnbWm0RjUaggAdGrFDsS6iC4swChURuG2iMcGHhtYGkb7HoghB7FBwftEWh9oGhrJjiGMmqok/kJ4u7kGLwJVMND3ha1ZmPp7v2GELWqkYAYyWRt6zZZR9927jR8+bG5q1Qoh26AQD3Y0Ho+PPhDiezDYN8LX3QNn7mKzl+BoSXKxIeGtvJ0t4wPcjwa6H/V1fp4SNZL/YjjnSU/q7anCV/Pl6dPFqSt1eXPVb+drMidKnnel3aq6c7rgUlLp9ROdqXdoJW8XagsWaguWm4uFgw1qerd0snWhvWio7BWrp0o21gqMDzpa3zsG9R2DilF7MWqvdqqX31PHaCxkdZSuthVTy1J78x6/vXXq7f2LN1JiA92s7b75rd3e37lZ7yU5WfkSHAGjp5Li6svyGbRRGWdxdZZKnxiaHB8CDgjAqB5T/vTdByBl+bi1ua7XAa2XWi5Ty3+hVAYiJ8g6kN6a6YYxChmRHUXRKsIo7NOp5RJIFYAPH/HmwQrGmg5DoEesJyi6lfB4MoFAp1R+u7n5w/v374zGda12XasF128KUK1CoVUoNErZDtjSBISBDQNuR1hpgpqoQiL8uLX+55++B3AgmVCENiALgNAWbfvDf/8RRpGLB4ACjwUET/AmNUoZqKlCwQE0JH789v3/+suf//Tjd/CRvVs3AAPFllG3adC+Xzd82DBuatUaqcigEPc0151MjD0cFRIf4hfuQyDZW7ra7nO1N/d0tfV2s/V0NI/2dk4kuySTXdLOJtIrM1dbiiaLU/vS7lZeT6m6cXy2LH2uPGOpPo/dXrrSWDCc86zx8ZW6+5ebHl9vfXar+dnNqrsXSm+dan5xg1rxZrmjeKm9aLo+qzvrwVxDvnqqyzA3gFE7DdMDmwuj2qlejNqtnepld1TM1eauthXP1GR2pt9uTL1Z+fpeecbjK8kxrvu/st31G4LNXg8HS5KTVZA3geLpGhPsd+nkkf62et7SjJzLYM1PbcMofDjfvtv4+fuPP3//8fsP70G1ECRi1HIZYgyFaBI2jJE5QCzbKLmBwgtYBDR1CcPvQMgF+6JApAzVQx5rBf4MSE4Mn9XITYkjYUROzOeIOBwJj4fJZFsGw4f19S2DAdBpxLA1jWZNozFimE6p1MjlmEyGyWRKqWgHEM4g6cQ1HQbxKFBLoqT+5+8//uVPP/3xh28h7kEsjcihA7wAlN9/2AKaMUQoDhuk2xRwtjE7f6J1WNMjnl/AKFyjsG77/Yetv/7555+//4jW8+Gtvl9bW9dq1zHVOqZaU8r1MolGwm+tKT93NOHskfj4EP9gkqu3kzXJycrZ1gwwSnIwi/ByjPd1Purvknbh8Ep7mXK0ldlcNJT9+Fl84BlPXM6puKKLSQOZj8cLXtHLMqaKMyYK0sby0oayXva+edL95nHD42tlt0/XPLzYl/t4sSVfMFgjHWvsy3vUm/NovjFPOtokH21Sj7cb6L3ayS7VWJuG2sluL5+vzV1uKRwrftn04mrTmzvdFVkvbp2P9HXF7f4Xmz/8C8newo9gT3KyCvFxCyd7xIaQzx1LHGhvkLAZSgGTuTBFGx+kjg3OTVPB14N8MnzmP377/rv37xAznE6tUkr/hqAZYRSRQKFUFaUBUF5E5IyQJAE0gfpBIuDC14EmlUAzHMjxtjFFwgtCmRICYimfL+XzFSKRVqEwqNUGtRq8vBHD4ECEqpJI4Cgkwh2mnDbwFwMnGXuFAZGoiMc2aFR//OFboHL+4eM7QCeSqoHsHuAFzv3Hb98DXSPiHIUnouU7iOJNN0gR5Q5oVaEAFHoHSKf6/YYR6FIA8YDRjxsbH9bX1zQarUyikYr1MoleJlEJOQ3lRZeOJ107fexgMNnfzdHPBefrZudovZeIt/VysSXa7wv3dIjzwx/1d0s9l7jQVMzvqRH0VEn6amvvnLng65ieHFl84WhGSlzGifjSa6d63zxZqC7ktFZz2+q4bTW8zjpuRy23q4bfUyMerJOMNijHGxXUptXOktY3N1te31xszBP318qHG9XjrfLhZml/g3q0jdVWNleby2gsHMh/3vDiek/+i+HG0mMHgnC7f2e5858td/6zB84s2NvV09k60BMfRfGMDSGnJER3NVbJuMuYmLMyR6WND5tiVMhlycUCoAD5uLX+YXMDMWxqlAqZSKgxEWFCFUb4Uky5jFCkB5BCRWu0TwGsjuBaAbKgerMNo0Amh6pa0F0H5TEoXSnFYrlQKBMI5EKhUizGZDK9SrWu1QJYwctjMplSLP50pKIdgDYwgXCQ6Axqcm4YtBDxwIo9Uqc11Y2FNXlTjIIphWzpM3/Elokim8pooneBGHVQpqlTK7bVR2FDFfFHQHzyYX19Q6fbNGg39BqQhNNJxQoeRy3glGVnXExOPHs4LjkqmOLm4GFjRrSzcMVZEBytvF1xJHsLiotNnB/+aKD7naTQkZI3itFW9Xgrt71suiSt7OqxnJPxQ+mPOp7fbn96p+bu5eIrZ6rvXBnJSVttqhb2NKvHupUjncqRduVoq3Swnt9bKegtFw9WL7UVjpW9an55tTfrPqutWNhbxe8qV400S/vrWC3F7PZy6VBTT/bjptQ7LWn3Bsoy0+5c8nCw+Pp/7HAy/5poZ+5q9Y0X3ibUlxDoiQ8gOkUGkFLiI/rb6rVSnlrE5i7PzEyO0agji3M0qD2BWDf4IoNGpVUpoakI9LNy8d9I28CeD/LdphUipKNgOugD8EIta2gEwjwQUOeBFiPSFQEvrzbRzjMlg4ZX1sjlaqkUkKoQidRSKWAUGVGtQoHJZGqpVCWRqKVSpUS4Ay4pYMKHtBpq+CDeBVcAYPSn7z6gvB4B1DTvMXyW9oK1eoA+WnFGguGAafiAEFv7mokwOMKoTMRH+lTwhoEoC/FCbhi079b0GoVUr1a8XzesYyqViK+Tit/pVAsTI+lP7qUciDgcQYn19yTjcd4OVn4uOBdbc4Kjlc9njMb6OCUFuN1MCGlKvcPsrJAPN/M6ypdqctqfXau7fY5W8GamJJvdWMFqrp4oeNvy5F7jw9udqU8Gs17TynJnKvMWaotWm8v43ZXSwTpxfw2/u4LbXT5S8qL64dmqB2eG854s1GUvN+YtN+Zx2koZDQVztbm06pzx8rfUmjxaQ0ltxuPEUD9786/Ndv4z3noP0c7C08HS38Mx0BPv7+HoR7APJ3skx4X1NNdgYo5axOatzM9MjtEnRxnzdCGPCYYNKuegCQP8o6BNrJCIZaJfyJSRNTVlwocEd8OgRakSYsQ1HcYAUwUzFWhmDbHjIi4ZU1UdFCqYLlTKxQIJj6cQiTCZ7FParlTqlEq9SrWp169pNDqlEtCpEInA3EoF3B2IEBlRnIFqBMKoRMAF6wWGENWe0LI8ouhF1yXabEab+KaC4ShqQTA1ZW/TmKj7yER8KA7D2wZqQlOW8U2jbkOveafX6BVShYCrlYje69VGpUS4Ol+Rm3H9bHJ8iF+0PzGE5OyHtyG72Pq72eFtzFztLb1dbEn2FmQX6ygvh4M+Tpdi/Qvvnp1pyBP21bFaShnVuX1p9xvuXhhIe7RYWaAb7fsje/HjIk3Y3UIvyx/JTR/Met328kHdw2ulN86W3TzT+vzGZHHqSmMBu62Y211Or33bm3W/4dmltlfX6eVpK035c9Vv52uz52tzZ+sLxsuzhsuzK1/cLnh4NT6AiNu30+qbL+0tduNt9hLszP0I9qFeLgEEez8XW1+8Tagv4UhsSFdjlUrIUoo4/NWFaeoojToCGJUIuMjXf467NJtGqHUYAakQTX7aFTPpSyODAp+nTq0ASJnqiZk2veGn0GdCdhTW5MHjw0wcWmvbNniJXmdDpzNimEYul/L5QjZbyGbLhUJMJtvU6w1qNZhYtVQKplQpFmuVsh1IHwyVNqFaDoyS0FUHkm8o92xz8dv27k07TCjKNC3gm7KSoMqwKUZRxK1VySHogUotxOl6TImM6KcSqQ77uK41KGVKEWddLTMqRbThnqLMlzfPpxw9EBJL8Yz0cw/ycPR3tfF3tfF2snK23udqb+nljCPamZNdrCNIDtFEuxNhpIwrKRMVmdyuKkZDwXT52/43DxrvnG++e3m2JFvW0/rj0sxfhcx/5a/+sDq/MTOhnRgU97bN1xT3vX3R8PhG8ZUTmSfi3h4/kHs+sf7ppbb0WwO5j5qfXym/dbz7ze3Zqozxghe08ozZmryF5rLpprKCh1cjiQ4Bzpb7fvvfzL76F1vz3S62lngbM3d7iwCiU4gn3hdv4+lg6e1kFebnnhwX1t1UrRQwlSIOd3VhamwI1fCFXBb4WSgPAcfTptEARHHvN9Y3DHqViWKdKaMWqqhA5gQ1R8DoNj0x09FN9CMY84BBDmiEIp4cwKjpfPDfSOVKJBq5/FN9XqHQyOVahQISeYVIJOZypXw+BADwAJVU9A8xylxaQIGIUatG+ThqaSILipItVLE3rZsingikPAs+HfHer/2tkD34C8AoJI8Io8iOwot//2Hruw8b7wzqTZ18U6d8b1TJuMt1pTnXzhw9ezTuZHxkYhj5AMUz0tc10N2OQrAJdLP2cjB3tt7nYmfh5YwDOxpGsg9xs0oKcHl+OqG34OVKexmjoWC2Moua/6rv5Z3OxzenizKXa4pFHY3YaO/W3OTPbMZfJbz/kPF+5i69W5jcmB3XTfTRizLfHj94I5B0K9Qz8+zBqgdn+zIftKferLp7qif9znR5+mjB88my9IXmktmWsrH6wjOxQdZf/g/rr39jb/611d6vbS33OFqbueIsfN3sAohOvngbop25u+0+L8f9Ef7ElPiInuYaBX9VLmBxVuYBo3PTVA6TAcNAwHr02UYqDRoMOIohedKZSHAj4jFosqDCEwAUHPo2vZtfdso/k9ujKhKXubzKmDfF6DYlJ9XfSpJCFmVaYFJLpQqRSMrnQzUKbkOFHz3m45rhH/r6VcY8GraHKBBsp6nuAmItNRWeQxg1JWs2VQpFWER87ChtQlzX8JmCwgmkBUAirFHKkJrUh821dxv6TZ3yh3d6nUIwOdyZ8fxebIgvheR8PCHiVEJkQphPNJkQ6ung72pFIdgEu9v6OFk6W+9zxe33xtsRHff7u+JCiXYUZ/M4L7u7RyOb3txbbC5abipaqMmdLkkfz3w68OrBQNojam7aQkXhSkMFt7Ve2t+hp419WJpdn51QjvaqhnrUIz2MquKm+9fqblzoS30wUfx6quLNbHXmVFnaeOHz2aqMxdqcqbI0emU2s7d+ubehMe9lGNHRYd9Oq92/c7DaY7l3l7X5HjuLfR7OuCBvAtndwc16j5v1Hg+cmbeTFeRMnQ2VUs6SjM/krMzDdL0pRoE97jMVkhaxwII+FiLzMvVa8DlDUR2NocHUyDY5RtPpJHSgCGWKUWhTowdoPkuEIbCijoBCJFJJJFqFYl2rfWc0bhkMepVKLZWKOBwBiyVgsUQcjkwgkAkEYi6Xt7rKXpz/hznTyuIcwih4WARENNlk2tLcJr/0SVj2c8sUzZGgaRKU129rikIBHzCqlIqg/gWlEMAoKultGLRGncqoFq9rxAOd9WeOHfRxs3OzNwv0dD6dFHUqMfxgCCnCxznU0yHY3TbEwybY3drb0czFZq+bnZWPiz3JySrAzS7EA0d23BdFtL4Q7Vf68OJ0bQ6ztZRRlz9XnknLfT2a/nQg7dFY1gta4Vt6aS69JG+monCpsZrT0STu72Q0VEwWZo/kpA2mvxjOeM4oy5N1N8iHm0X99ay2kqXG/NWmwsXaHHpF+kxN5nxj0UJbBaOv4eX100ScmdP+3ea7frdv1xdme762tTJzsLEk4u0onq4kJyu85S5PB0tPB0tfvE042SMpJripsoi/PCvhrvCYS/TJ0cnxoVn6BHN5HjTW4AuC1gkwJ8JM+2e2RDXiT0DoRAo1pqs+YAhNoWmq1YS4P7DP4raI3hHFoxoTfTo0GGqKUUwhfWc0vl9b+25rC5pMEh5vYmioqaamsri4urS0oaqqtb6+o6mpvbGxqaamvrKyrqzkH9aeVhbnUH0UMIocumnEaerZTbUZTOlFkX83zeWRxzF9HdTrguseMIquUfD1m0adUavRatQGDaZVyXUKEW20+8bF4yQXG6Lzfh8CLtjb+XhCWEpcYHSAW7i3U6QvPsrHOcLLMdDN2sN2j4u1GcHe2tfVwdvJmkKwD3G397PfE0GwPurv8vZKMrUik9NZyW4tW60vZFTmzRS/XakrmirO6M941pH6oPvN06HctKmyvLmakrHCzOG89P7Ml0NZqXNluYK2WlV/i3KgRdxbJ+6v5XSUcTvLhb3Vi/W509Vvuf21jI6K3uK04YaiY5EBNrt+Z/XNlzZmu5zt9lvs24V3tHVzsnN3svVysXO1MXe12hPo4ejjbOPnggvzc48P968pzmEt0gTsJT5rGVbp6ZOjy4szzKUF+JogQ3+/YQRCbdCUAf0GRDuMJo+AIgnyLcjTITcCxQG1SqFWKTC1HFPLIQeQCLhiHkvIYUoFHKVEqFFINQqpQiwQ89hoVw5aCaZxhSlGlSYCpIvT0yN9fU01NTVlZS11dQNdXWMDA+ODg1Ojo3NTUywGQ8zlKkQipVgsEwgkPJ5CwNsBo24ft9ZR40ctlyAdSJjPB2QAgEyJ70wn7uC2aekUYIcuXNQfQ7q02wwwPP2HD5vv1/VrWpVOJVNJRRI+R8hlifkcoYAnFgmUCplepzHqDTqdTq/Vrem0OrmkobzAw9Hal2C/f9e/uNrujQ0knkwIS4kLjgv2PEAhxgf7xPp5hJNcAl3tibaW7jb73e2s/VzsAz2cKAR7P0fLAMf9Ya42CZ5OT08m9Oa+ZHVVy4ZbJf1NrJZSenkWo7F4salsvrFosjJrIC+1O/NZb/aLwfzX3RmPhvJeTlflMFvKRX118uFm1UiraqRZ0FGmpbatNhcsNOQstxRO1bydaymaay8brS+c7ql7euWUl+N+3Dc7rXbtdLDca7X3ayuzXXh7Kw9nnLuTtYejtZuthQfOkuxq5+diH0xy9Xd3jg3yy3r1eGlmXCJYYS3NztDGx0YHJsaHGIszLCZjdWWBz2OqVb+MJkGVFARljFqkdfuLJAMUQU2XfJC8oFql0Gg0KkytUinUaqUGU2AKqULMlwtYItaKXMBSiwUaqUgjFanFAjmfK+QwgTcOdKANWuWG8dO05LoB02sUSpmQx16eoY13dzSXFee9ffOypCC3sbZqdLCPvcLQKGUAP2j3QNqn/Sxo+2lMWa34hFGoh4PDxRRSWLsDGw4EeoA5lCGhyWVkAk3zdzQYhSbutlWmUMBqakE/Zevv1j8Ydes6tV4tN8WoVCJSyKVa7BNA1Wq1RqNbMxgVAu6bpw983BwI9hautvuS40JPH4q4kBx7Ij40OTbwWEzw4XD/SE/3EAI+yBXv7YAj4qyJDrZkV4dgEj7I3SkAb0txsgp1sY52x908FF774u5cY4loqFk51iEfbhb21TE7q1Y6qhdbSqfr8qkVmdSKzOnavPnGIk5nJbujgtNZKeqvV4w1q6lt6vFW1WiToKNM0FFCK3s9V5e13FY8VZdDrc/rrcgYbS6tyHp2gOKJ++YL3N6v7fbtdrI0t9z1pZ3lHlcnKw9nG4KjFcnRxsPeimRvFUBwIrs6hPt4hPp4RAX6PL51eWqkR8hlLMyO06hDI8N9E+NDS4xZNmuJzVoSCTlajQLNRmqUMhgo0SgVWtXfaMFD6xylR0jADmiXtSo5plZiWo0CUytUco1GbdBjRp1Kr5CqJTyDQqzgs2TcVYNC/E6L6WUSEWt1dXGOs7LIWlkQcFdhX0qHyYGddHigu7WptqQwJyczraQwp7OtETj8YQwFSt2geQLcoGj4TmOiZmvUqrVK2Q5UwgS4bK3pNUoZlGdRnLFh0EL7EUnPgxVETh+RMiOAmqaN29zNr2NWVMla02EfN41bRu26Tm3UKNUykYTP/rSdJ+Qr5FKDXru5sba2tqbT6dbW1r79+F4rE185nRLq4+Hv4Xg6KbalqqAi52XOy7tnDkeePxpzKfngkUhKIMGZjLcPdnPxc3Yg2Vt5OeMCPfChXq6hJJdAV7tAZ+sQvFW4i9XpMO/sa6fHyjKFg02qyU7tVLeO1qOa7JaNd4iGW3j9DezuGlZXNaurktVVKeit5XRWsjvLBH3V8tEm1USrbKhB2FMp6Chj1LwdzX88Wf56sjJ9tCJ9tC6ntehVRfrDM4lhuN2/M//in+zNdtmbfeNoYWa952tHazM3Z2uCoxVs03s62fo44wI98AEEpwhfYkygb1Sgz6WTR7pbanis+bnp0cnxgZGRHurE8BJjlstZ4fOYSplwc00LRuhzCV0K7l4l+2VBF23pIPNpumv5SV5Mo9botApMrcKUWi22sa5/v2l4p9esYTIpZwUT84xKiVEpwSRCGY8tYq3ymMtKiQBo9BbnaNSxwc62xqryosK8zNam2qH+LsY8XSEVIHpeiZCDlitB2BykSNB2Bkq2EEb1mHIHJMgomgQRCdTmEnJZoCEGEnLQTzcdnkczdYiAHOkHQIHJYCLYY2p6kd4IGjEBO/9uTbdp0GzosTWtCpOLJXw2xMQCPlcmFet1mq3N9Y2NDZCkN+i1q3PTUYF+ZIKTF94mPtz/4fWz9y8fv3Mh+fzRmCsn4i8fi08M9fN1wvk42ga54n0c7Yh2+31dHcJ9PCJ83UNIzv6uNoEuNqFuthEEm0Nkl4fHYtoyH7F6qhQT7eqpLozWrZ8b0s4MYPQ+jN6nnupRTHSKhhq5vTWC3lphX510uEFNbdNPd2tpnbKhBn5X+XJd1nzlm9mqN1MVab05j7rznrblP8t9fOVYhA8Rt9fyy39y2PeVg/ke691f2ZvtdbY2x+PM3Zyt3Rz2u9lZeuPtfFzsya4OIZ5uIZ5uoV6EuBD/hPDAk4cPVBZlsRl05hKdRh0aH++fmhxdYsxy2MtCAVurln37fh3tU6jlEhBiRBiFLx6ScWjKoFIo2uj4NF2uVWFajUan1WjUWi22YdB+2DJ+v2X4blNvUIg/GLB3OpVaxFUKeVqZWMRapU+MtrfU11aVFuZlFuS+ra0qHRvuE/KYsP0Hq3xo0Q8WViGMZC4tAMCARX9drzGNXyHwQH/YDuR50Uwh8I+ylhdh5kghEW6t6f/15x/+7Y8//vDxHQKoKUaRXTTdBjHVAfq1+UStfMiugGJXo5SB3hdgVK0QiwVsIOeHz9Sg14IkPaZW8rhs5tLCQFtLVIBviLd7FMUzzM/dj2B3MiHs8fXTZ5OiziZFnYgLi/QleNpZeTvY+Ls4edhaEXCW/kR8FMUzwp8YQLD3dd4f7IaL9nSK98XH+zidj/LNu3N6rDKD218rp7aq6d0YvU811aOc7FbTenUzA7qZAYzWraR2qCc6NJNdOnqXfrobm2yXDjdwO8tXmwtmy1/PV75easgeL3nZmn67Mf3O66tH4/1dXPb91uqrf3Lct9PVag9u7y6rXTtxZrvd7KzwOHN3J2uC/X6C/X4fF3s/N8cAglO4j8fBYHK4j0d8GCXlYNSJQ7HpLx7QRnvZKzMztFH65PAMbXR5kc5hLogFTINW+cO3WyATgGaKkWdHGTqoJqP8HdpCpn0+o1Zt0GMajUZn0Ov1WgxT6dSKzTXtD++MP31Yf69X6mR8g0K8qVEw52eqiwvevHyWn5XRUFvR3dE8PTXG56wAbT4QlqNFUIAmbAjCPCG0HsACQh68rtdso1hELR4NpvpFQwwOzD0BRiHpg1bbn3/6/j/+7U9//ul7U8rwbfiGABRVQOFsazshcwvdUdg/+fn7jxBI6DHluk4NZ02rUslFIj4L9YgxhXRzY+2PP//4pz/+tLFuFPC5S/MzHXU1B4IDPOytAj3xFJKzs9Xu5NjAW+eOnIgPPRxJjg0gUQj2RFtLH0dbMt7Rw9aK5GgT5E2ICfIOJ3v4u9mRXazDSU4H/V2TgomJ/s5HA93uHAkre3JxrDKD1V+lmGzTTPerpnpk4x2y8Q71VI9uZsA4P2icHzRM9+npvZqpDvlok6CvmtlestxUwGjIZTbm0speDOU8qHl0rvzh2bInl89E+dh99d/svv4n212/cdm/G7dvp/XuL+3NvrHdt8sVtx+PMyfibYlONkQnGz83R39352CSa0yA97HY8AOBvocjgo7HR6ckRN+9crapunhucmiaOkyfHJ6ljy0t0Nir8yL+ql6j+P7j5vcfNz9sGdHYMqr+oFEH0AOBqx2SJFixRAM9CKN6o0Gv16qUUrVCbNAq3xux90ZMzFrUSLi04b7Hd65dPXuqoiB3dKC3v6sdUTuJBWzYCw5NjZAAACAASURBVDVdpFYrxMABIRawFVIBppR84s1bXoRev4jHhjEX0x4VwqgeU2vU2A6Y80AYhTlWMZ8D+/XQb9WpFX/84dv//dd//Y9/+9MndUODFrpKpsOgKKpADSRoB5tSkpuGraDj/ccfvgV5cJiKAO8Aa69ANADaP1Be+PHb9//1H3/5r//89x9/+Iip5WI+R8nn5r54ejgiKNTLNcTTJcQTfziSfCjCLynKP8LPleLu4ONsTbTb7+1k6+/q7O1oF+CBDyOTogK9Qn0JFHeHEJLjAbL74WDikRBScoj7sWD3M+Gke8fCih6c7S16Rm/M4Q808gca+YP1opEm2VirarITo3Vr6D1rc31aWqd8tEnYX8PpKltpLVysz5mrzZirSO18fbX63sncy4cqHp0rfnjhENnZ/uv/x+Gb3ziZfels8Qeznf9su+crvI2Z1TdfuTvY4HHmnq62Pm52Pm52AUSnIKJzuJdbQrDfseiQwxGUwxGUQ1GBh2OCLxxPzE573NNaO9LfOTHcOzs1urJA56zMi7grWqX0/br+w5bx/aZha11n1KkQEScKQ5GXR1V6GFMCT4jK1UaDRqPRaPU6DFPJZSKVXKTXKAwqiULInBzsKstNz0572t/RIOYsKyU8hZiPycWI1wmojOHr06iksJ4PBBBARQE0fYgMH7rcEJKiSZRtdlSnVmkxzQ4k9Q6GEDAKQ3EQVoMo40/fffjPf/+3//z3fwNpbgAljDWhfB/lZRCGgqFFQeo2jIJx/fbdxk/ffYBBPpguQxjVaxQKqUDIY8KlBvLPf/7p+//zX//rP//3X7/79p1aJZMKOJtq+Wh7y8s716L9Sb5427gg76MxlOTYwPhQ70CivY+ztbeTFcneytvJlkJwIRPwYb7ESIpnRAAp2NslmOQcSXZLDCYlhXkeCiScjPY5G+tzPMztdLj7vWMheXeO17y62lvwfKwsY66pgNVTJRxskIw0w5EON/B7q1ZaixYb82ZrMydKX/W+vdf84lL1veMFV+JKbibVPDrXX/C0+uWNBF9H4v6duK//p6PZV3jL3fu+/Cd7i90utuaWu770crHD4/Z5E+z8iU7+Ho7BJHyIp0uUr0dSOCUxhHw0MigxzD+W4nUwjHz6yIEX96/VlGb3tdcP93VMU4dXFujc1QURdwWTizf02Na6DgyYUaeC6BPZJMAouEQ02QRGFGI2NKdn0GNaLabRqJUKiVQiwJQSo0auErNZi7S22jLW/NS6RrqGSdQyASYXCjmr09RRxCEqEXJ0mHxzTWvQKoFFRy7hA8c0FKeAHgEK3jAcjUI4uJa2daS0KrkGU6mVqh2gB4KaabBUJeZzYKYETX99+27jL3/66a9//hnN0iNziFZYTEu4UGaC5sc2eTtUPf11zqRTKwx6TK9TazC5VqPQYXLgwJCJeayVhfebBh0m/8uff/yPv/zxuw8bXNaSUiLQiHiNxQVPb1xKjgkJJuGPRgediA8N88GH+7pQPOx8nK29HPf7udhT3J0D3V393V1CfTwiKZ4R/sRgb5dIP/fDkeQTsZSUaL/jkT5nDpAvJQRcPOh7Ptrz0gGvu8nBL87GFt8/W/30clvGvaHiV/Sa7IWmQkZL4VJrEaMpf64um1qW2pf9oOXVteqHZ8tvnyi5ebT+8cn6xye70q8PFz/tLXzakffMx/rrUHcbF7OdjmZf2e350mbPF7b7vnaw/MbZ1szFzsLNzpzs4UghOQcQnaL9SYlh/knhlKORQQnBfrH+nuE+hHAfQkyQd0pC5L2rZzJe3m+qLqYOdc1MDKzMUbnLc9zlOZWUv6ZVbBmxLSOGqEpUcpFCLlIqfuHLRmzGwHgMjTqIwQCmBo1Kq1FqNGqlUq5WyWRSoVoh1ihEH9bURdmvW+tKxgfa1jDJukYqFbDUMoGQx5RL+OzVRaAjFfFZBq0SJKCALw1xjgKhMfBCwrypkMuCsHgb2Txa/YOpI4VcqlaqdiAVMygBACWERMCFmRKJgAsY/bi1/q8///CvP/8AiyUIZKjMZFqHg1o9+JFtAmKmKozomHJDqFUyrUapVknVKikUgUFGTC7hLy1MqxXi95uG95sGpUy4YdRIBZypgZ7MJw8fXD576VjCkaigM4eij8ZQfF2syG42ZDcbsisugGAfRHQJ8XQL8yKGeLtHU3xigrwj/D0ifAnxod6n4kPOJoQej/ZNifA+fcDnUkLApXi/Swe8riX43T8e8uJcTNqFxKwrRwpunSh/eL726ZWGF9cbXlxteHG18fmVxudX6p5cqLh3quRWStmdE3WPzre+utKfdXO44C6t4jm1MnW4PLW78GU0Eedl+42PvaWr1Te4fTut93yxf/cX1nt2OlrvJeKt3R0sPfE2AUSnMD/3+BC/43HhZxKiTxwIj/Yjhnu5BRGdg4jOob6EhIiASycPP7l9qSgztbulZqy/nTE9xl9d4K3MqyU8AybbNKjXdUq9RgHUNwqpQCrhSyV81HyHgQeYToLKDtSqAaDaz2rh2s8YxZQSTC5WSflsBv3107t15bkDnfW8lVmdWqSS8jUqMY+9DDRPYCPB0W8YNRqVFEigECc/HCDLRfxLyK5DJGoae6BmmEomVStVO8C/g+WDmBI2U6Ffj+zoh821P/34HSgyflok+tyv37b6DJEE6idB/v7rY1rtgkzrUxVaq1ozarUapVol02ByqYQPdIFiAXNuenzDqP7p+62fvt3UqSQSPrOhsnikrbm9onSqp72/ofLZ9QsnD4ZHB7hTPOwC3HGBRHsKyYlCcqIQXYK9CBFk75hA34TwwPgQv5gAUizFMyU26EpyzMWkyBMxfieifM/E+V5KCLh6KODGIf87R4OenIlMvRiXdiEx4+Kht5cSs64czr58OOdKUvblw9mXDxdcO1J6+3jl/dNVD85UPzzd/PLyYO4DeuWr2eqXyy1vOZ35M/VvqTVZvcVpVw+Fk6x3UQj2BJt9uL1f2+772nrPF5bf/M7Barc3wY7kbO3uaBHkhT8Y5pcUSTlzKPpS8sGU2JBgolOgu0MAwd7fzc6PYBfq63YkLuTyqaTUR7drS3K7m6pnxvrZCzTWIk0p4qxhsvfr2nXdLxZUIReBOgBal4PhJsAoOHr4dsBIGT4LHeq0mFqlwBRSrVqmlokwuXCwqyk3/WlnU8VYf+v4cIdCwlTLeVq1iMdmzM9PAucZ6LzpMLleo4A8CWmSQMKEhKDQMB0q0KIiA4icg2f+vNMmVymUO9BevClGxXwOYBTGWlUy8YfNNdiORUukqAL1dzFqurVsWn81jUq3jfmBu1kzao0GjQZTYGq5Silhs5aAel3EXwV5FLmEu2lQ69XSkvzM2DBK/qvn1TmZjLHBmYHOV7evHAzyDiTaR5LdgkgOAe44H1dbbxcbMsEpxNv9QHDA4aiQI1FBiWH+B4O8E0P9TseFXkmOuXQ4/GS039k4/4vx/lcTA68nBd5NDn58KjL18sHMG0kFd08U3TlVdOdE8d2TpXdPld8/U/nwXNWj800vrnS8udWf83Ck8Nl4yXNa5WtGYzarPX+1JZPTlSccKJ1rzKLV5/YUvc5/dDWO7B7hTSDYmdvu+creYrf9/l02Zjsdrb/xcsP5EHAeTpYxQV4nD0UdjQ46FhtyKj7iAMXT3xUHx8/F1tPZyo9gFxXkeSwh/OH1cyWZr1sqi6kDnYtTIwzaqIzP3NAq3q1pDJhMKRPKJXy5TKhSSlRKiVIhRqbEoFFB810hEWpVcliXgN0KgCmUCHVaTIMp1HKJVi1TSngGjaSruXKkt3mRPrw6PzHQ0yjkLiikHLWCLxCsLi1NQ8IEGmXAhgcYFfKYwGEGBE9Qh1LKhNCRQQ1YNJYKmrlQlASmk0+CSgrZ39hR8PVA7sNcWgDePNAQ+7C5BrrL33/YQuugpjQ4UA3dhlG0PvprjP56IwqKVjqtSqmSSmVClVqmkIsW5ukT40Pzc7TFucn8nDc3rpy+fD4lPfVRdXneq2d3b185E+ZFpOCdjkQEn0mIPhDg5Ye3cbPZ7eVkQfGw83O19nS28nG1DfYiHAgmH44JTz4QkRROORzunxRKPhoecOpAyIXE8AsJIadj/a8cCr52KOhGUsjtI8EPjoU+Pxudce1Q3t2U0kdnKx+fr356sf7l1da0W12Z9/vzHw8VPaOWpU6Wv6ZVvp6re7vUnMvqKOJ2lXC7ing9BYDRhdZcWmNee8HLtqKMe2ePHo8N83d3tjfbZWe+y8FqN87iazvrXUQXKx8CzsfVNikm6PLJQ8kxwfHBPolBPqEeTn6OVj5OVr7O1t5OVh4OFp7OVkFe+LhQ3wtHD755cru2OGuir3VhcnieOiRiL65hEgMmU8sEoMQlk/HUajGmlmFqGfKeMDMOxHLg1mGbFzCKCEVUSqkGU6hkYq1aJhOy9Uphe0MZb2VawJyV8hijg23MpSmZmKWQckQiFpu9iFIiEZ+FhLVAu1HEZwFGEVknxKMgJA5hMeyooIVVKC5BUoTGWHfA2Aea5oS8HghCIKqF6sD7DeNP330AgEKKYzpLakohsQ2j/8jXb1uK+mSMtSqEUaVKKpXwp+kTPd1tQ4M95SW5cTGhTx5cf3z/2qN7V1OOHHjz6mFrTen9C2eTQoJiyF4xZFKsv+cBime4r0sMxSOG4hHlTwgnu8cEeSVGBB2JCTsUHRYfRkkMIQNAUyIDTsZQzsQFno8PvhQffCMp7HZy+IPjEQ9PhD85GfnqwoHsW0dLHp6ufHy+5tmlxtTr7W/vDuQ/HS97Ta99O9uQvdScP1eXNV39ZrY2Y7klj9tdKuyrEPWXS4fLuT0F4qFyRns+vSm/uySttzIv9+ndBxdPJUYEER2s7S1225p/ZWO2E2f1B4KThZerDdnd/uiBkGsnD6fEhkT6EsJJ+CA3e09bM5LNPiLOjGRnTrQzJzpakt3tw8nuB4N975w/npf2ZKijfnFqZG5ikM2gywWrOpVELRPIxByZmKNQCDQaqUGvNhowxD4CyT4EoxCArus1qA0OsyZKqUgk5CrkYpmYp1GIJNwVEXuxoTKfu0xnM6aErLlZ2uAcfUguYUskLD5/hcVaALptxjyduTwvFrCBZA9IOQGjQAcJxpW9urjKmGevMKB6j7b+wbLC3wYxiYDDRPT4O5Dvhz8dOH2AghQMMlx5W2t65OXRTAmatEdsAmhoxahVI4z+3ZzJtPgPWZceU2JquVaj1BswlVomlQklYt7CPL29rbG8rPDhvevHkxMWZ8f1mFgmYj55cP3ymSMPrl8oTH1x78ypM3HRBwO8Qoj4YKIT2c0m1Ns5IcwnIcwnPpx8KIpyKDokITIoNiQgKsD7ULBfUrDf0TC/E5GUM7FBFxJCrh2OuHEk8t7xmGdnDqZdOpR+5dCby4kZ1w4V3kupfHah6fWNtow73TkPh4pfUCveTNdmzTflLrbkr7YVLbcUMJpyGE05zPZCXk+ZeKBKNlwtGSoRDBRKRyoX2/JojXnDNTltRRn5z++/vHX5fHJiBNnTw9Hafv8uW/OvcFZ/wNvt9XazpZCcEsPIZw5FH40KDCY6+TlaBeBtidZ7CZa7Xffv9rDdR7K38Hay8vdwCPFxjfTzOHs49tGN843lebTBbtpwzwJthLkwpZLylRIeYBTsqE4nXzNqAJ3gD6F6j3abUBkbolWYrgdCB87KooTPFDAXV+aoTdWFK3PjzMUJ7gqNszo9NtSukHJkMg6Xu8RkzgMTPojjLC1MA9E48PBDLg8E3FCEWl78JHzAWl6E7B6R3AMhD9zDZS6DuM3S/Axjlr4D2HmgIgWNdQAy7NzJxQIoT24adVA2QsNXW+s6pP4NJdK/i9F/VHtCc6i/mGGVHFNIpRKBXqdSq2RCAVsmFQh5K/097blZr29eO3/6eGJW+rOhvlaDStTfUXciKebcsfhbp1NSIkPjA3xDiPgQIj7M2xUk6UM88WHeruFk9wh/YoQ/MYLsGenvFUvxOhTseyjI60iwz4lI//MHQ68nRd5Kjr53PObJqQPpV5Ly754qfnC64O7xgrvHKx6dbXh1tTfn0UD+09GSV5OV6dO1WbMN2XONOXONOUtthaudJZzeCm5fJRxBX5Wwv5LXUyAYKBSPVM815U7W50y1lNVlvci4f/3R1fNXT6UkxUZQvN3dHPbbWe/BWe2ys97tS7CnkJyj/UlJkYGHQv3JeJzr/t0+9pYkm30Ey90ulrs8bPd5O1mRXXFBRKdwH7e4IJ/jceEXjyfmpT0ZaK0f626lj/TOUgfFnGUhZ1nIAWXYZaGQKZfz1WqxSi6SirhAQ47EPCHFkUv4wD6OCplIRWlhepK1NMtbmWVMj/W01oIR5a/OKITMvq5GhZSnUAj4/BUOexkUiIDUHOk2MebpcAPEHhbnaKC0MUMbN9UNQ4oRIA6xvDhjKokLd64szOyASAUC2HW95t26QauSg6WFaw48/taa/rv3m+83DQat3KCVr+mVm2vY+00DtDegU4y6cHpMva7Xvd9Y//bdxruttffv1r77sPHdhw0E6K01vQFT6tWKTYP23Zper1ZoFFKNVCzistQykQ6TalRSg1Yu4q/y2QtMxkxxfvqFM0cTogOjQ3yunT92PiXh1JGYA2G+8eH+0f6kaD9ihDch0MPJ28na3W4/ydHG19WBQnQJ8MBT3B2hcxNN9jhAJsb5k2J8XOMDiCci/c/GBZ6LDbiZHPHsfMLzc3FvLieWPDxT8ehc5eNzza+v1z2/VPPoXFfG3cG8J+Mlr+hVGbO1WYuNuattRcvtRYstuZzeCmZ32WpXKbO7nN1fyxtq4A018QdrhQOlrM5cdk+phNoyXpvTVZKR9+Ru2r2baY8e3Dx/NiUpMTo8xJvkhne2c3DYb235jbeLc6iPV7AXKcSbGOPvG0Bwctn/jYeNGcF6D97iDy6Wu4g4My8HS0/7/5ew936OMk23BPkTNmZjZvb2tLldBm8EyCAEAgkhZJBADpAwhYfC2yq8Ewgj772XMqVUGqX3Pj/vXfpMOaiq7r52dzZ2I/aH3R9eKi/T3RMb8YTiI0XIwMn3fcx5zvltxuo/7Fj3VUHWlqMl+Scqi+9c/m6w/Z1irFcxPmDTz3ltOpdN67YZfG4L5LOnLDchn/3vRsBrA+H3WP0eq89t8bktXpfZZTfgiMdl1QMTNo9V29X4mvS7ghTqsxvDLGXRa2CvMyQywDECxJdQ+9Xn6W9dFS3ge/3dSP08Aa8t9fODWAV00kC7PxkNAQURcNeDF0EhFha5ZDQUCwvREBsN0fEIvxCXlhfCK4sRINqbIi+GRQ6waxfjsZWF5PJSYnkpDnCc0moLi9xSPCIyJE/hIZ4JMZRE4TyOYl5XWKBAaiWxuEk3OzbUqVdOGdWyxtePLn5XU7g7vTQ/e+e2NdlbV29b/4cdm7/Zs239gR1bC7K27NjwNQBoxvrV29d+k7Vxbc7mtbvT1u7ZujZ/67rC9PWl2VsO79pavnNr1Z70kyW7zpTuPnMw58bR/U/OHXpy5mD9pYqeH88OPr44+Pji5ItrY0+/H3l4aab+tqn9ua273tnX4Op/6x35gEy1YbMd6Ew7MtMJyztgeSes6MaUA7hmBFONYsoBaLqFVHais136ntf28Y7R98/OHC7ufvv63ZMnd76/cv7UqbojNXl7czdvWrdu/bcb1nyTvn5dXkbG3vT03dvS8tO37tjw7Ybf/5dN//hf0776h/W//V/X/MP/svH3/3nr17/Z/u1vs1b/Yce6r7Z9+7ujJfmnqktPVBa/eXzHpJx0GlTz8jGPVet3GGCvHQu4MNiNIx4C9VK4H4UcfzdwxAVcuDHYCV5BAnYkYId8Vgr3Ql4LgbiIgMNn17e/q2dgL4/CkN0qUYTTqHfbzCJD4rDf73ak/HRSJrYpj1oMdoPAEQ/4eQjUC77L3waBur8MEvMA32UCda8CmQrYt4qFRDBz4igcYBRsvYHlQ47CWQplKZilYIHFggIZCTKRIAOaxv/jMjUpMDSgMIKtg8/mohwJVMNJLMBTGI1BLIEwOEwGvDTi5XGEhNwU7BHIgEAGONw3M97/6O7V9g8vvLZ53ezY22f3aysKi/ZmbFv7+7TVv938zW/SVv82fc0fCjI279+Rlrnuj5u//t2OTWty0jZuX/tN5rqvd25asydtXV7a2rwt3xakfXtwx6bq3K3H9+88XbL7UsW+S4f3Xijf9cPJ4vorR15dqmy4Uj309PL0m1tTr2/ONtydeXNHVn9L8faevafBM9joG20KjLcgU22UoodS9RBzXYi8DZ5pQ2e78LleSj1EaoZx1TCmHAhMtWKzHebBBnXnK9/c8Lt7V89Vlsr6etsa3j66fe/WlWtXL12uOHQ4KzN986YNaRvXbV+3Nj8zc19WVk7a5p1bNqSv+3rzH/9h8x//t4y1f9jy9X/d8Lv/tPkf/3P66t9lb/hq95bVe7auzd74dcnu9EP7c6qK99y6eHK0u8mikVnn5R6rFnabCcRF414S85CYhyYCLAWD578NhvQzpJ8mfCk7bvA6gbppwkdhHgJxsZgf8zna39VLJCLiKIdAEY7GfW6bUScyJGCHpJzuv3Ci9xOoH4Vc/5P4/3/PYLAT/JFA3SjkWAUmSUAjBRyWKYEQUNGDTWqwQ/yrZ5mPJgIcjQgsJrAYR2M08VcuTRhD4AyBsyTBMgTLfF6HBdYLn62nMYglkCBHiQzG4YEgg0g0ivlsDOpJBOnFCJcI0g6j6tmPN69fPNH29tn545Wl+dk70r7N2PTV5m9+s3XN79LX/2Pmun/c+tV/y9u24cDObblb12VtXL1728bc7Vt2bFoDAFqYsak4a1Np1saKnM1H89JPFu64dDj/Zk3R3dqS61X5Vyp2PztX3nznZOPN2qbrx0ZfXFU2/ahs+lHd+GC++ZGm6aHqw4+m9pfOvneB8RZ0uoOc7abnerHZjsBUMzTdgsjbcEU3oewlVf2kahBT9KGzva7RRs94s6brZUAxqOh6f7JkX/vzpzMDA/2tbfVPnz+8/8O9W7fPnj5XVnpw186ctI0bMjasz8/M3L9zR07axoz136Sv/2P6mt9vW/2bzPW/T1/72/TV/y1z7e+yN3yVm7ZmX8bGwh1byvZmHdi5tTQvq6Y073hF0d3vT4/1tvhtWodR5bPrYZ8V8dtgvw2FHL8eY86/GwAEf3uUgo8k6oa8Fgb1EQFXV2ODgENhmlwMismgEGYps04j0ETA40T8HuBMlPIFTbnkgMsd5A9fRsBrC3gtfxuQzwr5rAGvxe8x+z3mLz+16stJLmDyASlnMAtNkRI+u9h8dkLBJZ4ISzQwNwHn6JduTCk2dUhggxIXCn4ekP5qd8JGQ+xKMgyoCckoF2QQxGNymTUW7axdN8cingiLxQUyyqEzoz3XztWdr6s4WVVSXpBTsjfzwO7te7evB2SRtK9/s3PDNwUZm8v27izbu7Mwe/ve7Ztyt27Ys23jnrR1edvXF2VtOrR7a11B1rmDuZcr9l2vKrhztPDByYOPvjt4oyr3WsWu15crex6d77x/su1O3ejzy+qWh7qOp/q2p6bOF6aOV9rmp9rmp5au1+6h977RJmiiBZlqgyaavKMNqKwZnWklld20up9S9RGKXlTeBcu7zQPvPNNd1tE263j3m9uXTx8qMsvlM0MjY70DbR9a6p+9enT/4Z1b969duV5dWZOxdduOzVv2pqcXZGft2rpp+9qv0tf/cceGr9LX/nbrt/+Quf63OZu+2r3lm91bvtm7bc3+rM1FO7cCSteJysKTVQcOF+6qO1z4/uUPZs2URSt3mpQum8Zl07id2oDPFPBavC7jl3ne342/ykcDXovHacACLo/diPudqNc+0N4UsJsiDPVLMr4UCSaDgl6tIBE/MCt02owuu8HjNIF0E3wRj9OUKn2+rIH+Cq9fRipF/qsMFfY7VoE8EtTjKdZ+kGe8Thug56WslEHTNSyxYYkOS3QkyHzpb5LSwADxH9YiESka+VXeMizEwkIszMXC3HIiFOSxaJCSOFglG2p4fr/13TPl9KDLqCZ8dg71Crh/IUi5TaqHNy+eqCwu2ZuVtemb7C3f5mxds3f7+uyNX+/fsaUoZ1thVlpZblZNUX5NUX5p7g6A0fyMTbu3rM7d9HV+2jelO9bX7cu4dHjvnWPFD04efHC8+MX5Qy/Plt+s2n3zcM6Ha9WjL78feHK+/+HZoScXVM0PrP2v7X1vHP0Nzv73po5X5s56W0+DrafB2lNv73vtG22EJ5uhyQ/EbBut7GQ0fYymj1L14YpuVN4Fybq8sm6PrN8w1Nb+9N67+zenezohq1U1IRvpHuhq7nr/+sPTB88e/vD0yaPnF89/vy83f29mVu72rflZGXsztqSv+3rb2t/v2PBVxrrfpa/9Tc6WP+7LWL8/a2Phjk3FOWkHczPK9mRWFu48tC/rZNWBWxfrztcdPrQ/58rZo6O9TeZ5mdui9rn0XqfO5zEgkBWDnbDflqo8/irAzQueYb8D9jtALYUjLthvI2AP5LERARfmcygnRwxzsjjP/svH5U+J6HI0ZNapccjrc9l9bpvTpv8Soyno/y1Gf0Xq38foXx26qRor4LWtSvG0QYMXJI4gHwWHORCoBrzDIM+APkVqzAUCcD6Ar96X1mE8TXAsyTKfxYNARxdktATikjiUp6Gpse5rF46fOX7o9bM7U8OdpN+BuMyIy+zQK81KWW9Tw4XjlaePlF04Xlmwc+uebet2bVmdl74hfc3v925fX5C1uSh7W1XB7mOl+ysKcg/sTC/I2lqYvbUoZ3ve9vV5aavztny9f9s3lTmbzhXvvHes5Nm5ypdny99fqXl3uer+0T33qnd33q2ba7wz/ebaxKvvBx+fnWu85xlr9I41e8eafeNt9oH37sFm92Cjs/+9rfe1o/9NYLwZl7cTMx3URCi7+gAAIABJREFUXAej6uLnezlND6XowmRtyFSbf6oDVo6axrrlnR9GmxqGPjTopib1swrFuKy7pbujsbPlfdubF2+f/vjy2cMXd67fO3Gk7uC+gr2Z6QU7dxzIzcpJWw8GY9vX/W731q/zMtbsz95QtGtzeX5mddGu6sLdh/OzKwt3luRuO1y488b5Yz9cO32sPL+qdO+PN88rpvrsxlnEb4F9Zp/HAAcsOOrAkf8oXP4qcMQDHr4EKxJw4ogHCTixgAsLuDCfA/c7PWbd1GBPjGP+9dPKzwvx5WjIYdaj/s++ow6rzmHVOW16AFaX3QAqemAknnIo/sLgXv93w2aeT4XdorVbtODLuuyGVYD6CvSawSYUhcFAPRqYmwDlupSkNDBRTZVyqTrus4mv35PSqQIsLAT2wdCvjqWfSz83jnh8LmNIwO1m9bXLJ0sLdj64c3F8sHWg831T/ZNn9280PH3w8sHtO5fOHCs7UJy749rZ2sunavZkbNy56dtdW1aX7M7YuekbcI7mb99YvT/3aElB8a7MvPTNJbuzKgp2ledlH8rbcSg3vTR7U1HGmkM71p8uzPqh7uDbK8feXq5uv32i5cbRR3X7HtbuHXx81tD1WN1yf/b9LYBRaLoFkXXC0x2IrNs71uodbg2MdfhHW30jLYHxFlzeSc91U4ouUtFOKztZdTep7Mbl7f7JlsB4s3uiwzrZpxroVA32BpFAf+OHG2fPt739MNo32tnU1dnU1dM20N7Y/epJw5MfXjy69+ze9XvHDlXuz9lZlLvrUGFeXmZa5savd2z+JmPDH/Iy1uVlrNmbvrpgx/pD+7KOHdx7pGhP2Z7Mwp2bj5TklhfsqDiQc/3c0VsX62rK8kvys3raXmtmh/1ug99tsFtVDpva5zHA/v/pFf9X+SJoEoFwO4xumyHgtvrsRshlQd223pb3EoH9aSGxEgvHRc5h1vtdNhTy+NwWq0kD1ldMeqVBqzBoFfr5Wf38bMpxFJiOWozzIMwGjdmg+tsw6ZWpMBtUFqPaatIAvK4CO1CAFw36+2C7FKhQBDxOQJwGXrfgZAXgA4EGvF96+qZQm7KSxjEIRX5lDWIBCocI1IvBbp5CJA6dGustKcw5Xl0yPzvqNClnJ/oe3Lzy5smPo92dE/1dj+9cf//i8csf7vx47WJteVHp3p0VhXsri/bkpW/O3bquKGf7vszNh/N2Vu7bdax03/HywsP7dhdkbT24J/tURfHVk9V1xXtqD+Ts2fj7rH/8T1W7Nl6r3Pfu+onuH84OP73cfP3Io7p9by+VT9ZfMXQ9tva/0LT+MPX6qqzhpm2gnlD0knN9wG7ZM9rmGW3zjrVCU52ovAtXdBNzXbiik1L1oDPt7Hw/rRnwjjd5J1pQeZdjrEM30jvZ1Roh8AhFtTW8PVt74njl0avnr/a19/e2D7a+7/7wuq2poePN88an91+9ePjyypnzx8rL9mVnFe3ZeaSssGhPZtamr3PT1+bv2Ji/Y+P+7E1Fu9IO5WdXH8it3L+7bG/WgZwt+7M37cveVF6w41ztoVsXT5ypLS/OyzxWcWCkt9nn0jssKqt5zmJSmPQKj9PgsOrMBo3VpAVun6CFHvA6QCMTtNlTh5zLbvqMJ73Gapj3WIxeq8k4NysbGhjv64zxVJDBfHajRjEFeWwo5AJwdzv0Jr1iXjWlVctNeiU4Cz1OC/DJddlNYIwU8DiBeW7A6wDW5cBd3OuyAptTMK+yGOftFj0YWYGOwaqUriS4o8EzjSNAqsTnsgO5qZRU1Zd6f19W6yk/XWDjlwqSQEji86oXeIWjEYaEcMgdC7Ky8cG83emXTh9zW+ZnJwY+1D+dHOyz6TQ8inhMhraG173NjS9/vH+h7siV747fv3Lx8sna4twde9LTDu7Jrty/5/C+nIr8nOr9uXVl+4+XF5bn5ezfsa36QN7VU8de3rt28dihU2X7CtPXZn3zX8qy1t08VtL37ObA06ujL6623Kh9+t2BlhtHlU13XSNvAlON+s5H8rc3ZA03rf2vKWU/qxnCZnoDkx3QVDc01Q1Pd6HyHkLRSyn7KVUfqe6h1P2EspfWDJDzg/Bsr1/W5Z3qsoy0d9c/J5wODoIcOr1qSl7/9OX5k+cvn/v+/HcXXzx6/b6+9eXjt/VP37971fL6yfv6h68f3Lx34fiJsn35JXtzaw+X1h4uLt6TuWvb2j0ZG3ZtW52fsfHgnsyqwt2H8ncW5WwvyNqyO23NrrRvdqat3pe95Vh5wcUTlSdrSkrzsw/uz3nx8KZWNeGyaazmOZ/bhEIOt8MI5kDALDkkMgyJ/PXV9+vJAjpHDqvBbtHbjFqbUeu1mgIOq8dkMKvmBjuae5rfDXQ2a2YmnBYdS0A0ESBQN6ix7BaN1aRyO4wo5CIxH4F6gcc94N4DwNA4gsN+yOcE5GiewQH9GTCkwIgfjFIB2Q/w+hgSWQUIzqmNZjC3BbsiAKMEEgBs/lTampJG+VIbDTifgpB4IhU8R4oCDUxOv/SNZAlEoPHRgZ7dO7YdPVzS/uH1ozs3Oz68nZscN2nVqNtjUCqa39T3tDR9ePXi0a0bL3+8//750wvHa3Mz0vbnZFcU5h/en3esdP+x4vzjZQWnK0q+O1xcUZBbvCuztrzk7uWzb5/8cO/Sd+eqywozNuWs+0PtgZyX189ONj2bev9gouF2660Tz8+Vdf9wRt/91D/djCo67IOv5xrvyRpum3tfsaqBsHGCVQ4hk52pnXp4ugud7cbnegllH6rsIecHSe0QouwPzPb55f22kTZVZ4O8vWF2cOBTLM5jOOaHOIIa6h18/MOTJ4+eH6mqK9xXcv/O44GukRePGl4/ed/XPPjs3vM3T14+un3n+9NnaisOHS0rPX20sq6iZN/OrXsyNu5MW52bvqFkb9ah/bsKczJyt27YuWnNnm3rc7euBZzo6pK883UVF05Unag6WFm679qFk7KJfgJxoZCDIaGwROOIB9DkOBpLxoKflhML8ZDIkRQOpWqJlIEnYNZ93n/CYRLxcxgcpIkwTQZJvKux4cqZEx2NbxxGDYMHRAaD/TabWe1xGpx2jc2sdljnkYBdYJGgQPLM5zMrxWIWGJIhcBKFUo6vKZZ+yksbvJiyJE0Z764C+mkAhWCTE5glALVzsGCa0pkGzPy/67IMPE/B92ApGJAbeAalKZRlcFBpgfcWjvhIFIqIXJCjbUZdVXlp5uaN5YUF1aUHBzs6e9vbO5qaxgeHR/v7W9596Ghq6mttG+/v7Xj/4f71q4cL9x/YvauquOhwYcHB/Ly6Q6Unyw+cOnzgXHXZ2aqD1QfyCnMyKgrzL9QduXyy9vLJoycOFeduXbcvY+OPF0/1v3s20PB4rv3V9IeHrffOvL12dPjVdctQg1/ejio6/NPNuo7H029uadufkLM9UfOUOD+Gy3qgqe7AZJd/oj0w2QHLO9HZblTZiyh7MfUgZRgLKPqdsh73zIB+sFXW9ma2p5VwuxGv3+dwsSRFwPj0pKzh9fsL5y4fLD58ovb0qePn7995PNIz2fau+9HNp40vmz68eNf46s37F/W3Ll2uKi6qKj5woqq8oiivdO/OA7vT9+9ML8zJKNqdVZiTlbc9bdfmDbu2rNu1ZU32ltW7tq0r3pNZd6j4bG3l2drKmvLCK+eOj/R3kogX9K1jYQ541AJSaSTIAUdQYHQLVo4AGoCzbTIWXEyEAQctKnESS0oUHmaphMAlRV4+0v/s/i2HUUMjXsTnIBEvTfgCXovLMe+wqa0mld2iQSGHxGMST1D4Zxd3sAUAmE3Akt7v/h/c7cHhDSj6KYYUONGCAg1gugpUSIjfA2yQwFEKMJpyUwZSj8ANh6PIVKQYfgJD/nq5ozyDCiwGeqhBgQxKbCjIAY9awJhmSUxg6IDLRUAQHoDPnzr91T/8dvv6TfnZud+fuzTSPzzQ0zs7NSOfnJocmZgcHZscHp2dnGxqeHfq2LGKouLTR4+drK6pKi0+Wn7ozJHqM5WlZw4Xnasuu3Dk0LHS/QXZGflZGSV7cwt27ijN3120Z2fR7uyzNYfaXz+b7mvrqn882fxi9M2DlnsXmu+enWl97JluQ1V9hKYfn+ux9L+eeXdX2fQjNNEaNk6EDOPUbD823YtMdv+K0W58rp9QDxHzw7BykDBM+VWjrplB5+yIYax3frjHqZ6Fna6ZSbndZEMgNOBDXE7f24bGwv0ltcdO3b3z4PTJ8xXlNY/vPmt71/nu2fvGl02NL983v37f8b7l2f0H1aUH9+/OqTiwv6pkP7j3q4oKCnOyCrIzinN3Fefu2rcjMz9jS1765t3bNu7etrEge3vlgX0nqsrPHKvatyvz4Z1rkyMDFr2GQP0iR4YlFmiQA3YzIL8Bvj0Y06RkHEMCm3In/LygFglGJT7C0WGWivPsgiTIhvtePbwHu61RgeKogMDAIofiiMvj0rmdWodN7bCpUcgRFPCgQJKYjyERnsF/9TMhSRTBoADi94Gt5S+JTv9hC0+gYGkENJdSUuWrvlQHAOxXsHMH5p/gHidRCEhKJCJAii2U0g1MCdoDZ2nAOElEhcVEEEzzV5YTH1eSP60kPy595uAB14s/f/wpIoSCrDg1PPXDtXuPbz+sf/iy6U2TYnpOrdRY9NaR/uHpsSm9Wjc/p5kcHXtw54fTdScunj578/urJ6uP1h6uuHjy9IXjdZdrKy8fPXT1RM3Ns3Xnj1SV5efuy87av3vngT27CnZll+7Lu33pQuub+rHeDsX40Ej7+77Xj7ue3X5353zrg8vK7nq/ogfVDJLaIULT7x5r1LQ+UjU/8I40SrrRsHGCVQ1g093wRJdvvM033haY7oRne1HVAKYZgdQjkGbcrRyxyAZ0o32K/g7NSK9To5yblsunZwiMjERi4VDcZnU9e17/44Mnba3dF85fuXD2++9OnCvJL7v9/b3J/qmOd53N9U2NL9831zfWP3p+8eTpQ4UHDubnHS4sOH2k+lxdzZkj1TUlRQfz9pTuzS3JzT2wa+eB7MzC7O15mWm527fsSU8rzMkqK9hTVbI/Lzuzq+m93aQzzit9blvKQxHsmkeDAujYhAQW8O3ByZJSrwUrJYD1m4yGAOMnJrARjo5xTFLk5+UTP974vrOpwWXWkqgbh51+jxn225x2jduptVtVVvMc5LNKPBYSKYaEQDsSTIhYkkhhFFzOYGwJlkbA9ggYtn+WRuMZ8KYCn/28Xw8oroBTmNqvB+K0QKiSJbFYSARufysLyeVkYjmZ+NIL9Fe1NAmg89Ny7JdP8T//nFxZia2sxH5aSX5aTgCuqsgyDIH/tLjM4rTb4naaXCalcXZ0ZnZ0RiVTT43PzMiVytn5pg+to8MTWo1BqdD09w7cu3n/9rVbt67evHbp6rmTZ07XnTh38sylkyeunqi5cbLm7vmTD66eu3nmVN2h0sqiwqOHys4dr/2u7uj35871tbXMjo9ODvYrpyZmhvunu5pGPjzveH574PUP+pFmv3IAUQ+Q2iFc3QfJ2q39r/Wdz7wjH4T5oYhhglcNEvJedKrLN97mGW3xTrT5ZV2Qoh+aGyCMcrdyxDk3apsdVY30yge6tJNjZpVydlrmsHsEPrSQXGEZcXBorLGpzWZ3q5TaVy8b6o6eqq44durod8erT9y5fHewfajldWvXh87uxs7WhsaXDx5fOXP2eEXlyarKy6dOXjt7+serV5/cunXj7NljBw+W5e07tG9fcc7Owh0ZezO25qRtztq4PnPDuh2bN+7allaYu+v9y+dumxkLeCGvC4chgaHDogBE2ZeTMUAcBmJgYCPoS5OaLx1BWRKjMZjBEQ5DGARiID+HQDGe6mpsuPX9ma7mN3PyEbViXD8vZ6mA3apyOTR2q8psnPU4DQKLRIKMwP6a+xEoQ6A0jhEIjAYg2OcFrcwUOkEOCZj5gGcHMs9U+U4ggVWALwcYeoD3CczOUpz+VAM/HpZ++bi0lIgvJeKL8dhi/LMmGdgAAR7lsbAQj/DJ2GeY/vwx8c//9PM//9PP//ZPfwJCD0uJuMDQGATr1Tocwsw6i05lcBidarlmakje1zkwPiIfHZlSyNV93UPzKoNGpRseHPvwrrn+ZcOzJy+vXrxy8cyFuzfuXD536fiRusvfnb54rObK8SN3zp/58dqVa2dPn6yqPFFVff7UqTvXbjz98eHbl/WTw6OysYmhnr7ZycnJ/j63Vm2Ujcp7WmZ7Gx2zg4huHNWOUoYxVNUHK7rcY42W3tfesWZufjhsmOJUw7x6hFYMYdO9gcmuwFQ3NNMHK4Yg9Rhnn3erJr3zMwGj2qactaqVsMOOuj0kTq0s/xwOxRlaMFsck1Mzbk+AF0IWs6PxQ+vxY98dLquuqzlxtLL2RPV3ty7fbaxvGeublA1ND/cM9zR3vPjxyY0Ll29fvnrv6o0HN2+1vXkvGxru/tBy5btzNSXlJypq6srLj5aWVhwoLM3bW7Aze09G+u6M7bmZ6bszttfVVE6PjoZ5HvH7TDotDkMLsWgsJIKVhyDPgJX2lMJCROLDovCrvJ70q/qzJLIUS6A8hUsUweMIh0A8CocZ3KCSf6h/qpgeNeuUczPjU+MDHqfB49AGPAavU2czqXwuo8TiiTAfEVmOxFgCZXCEwTAWx2kUJSAI8ftgyI9jEEOTLENQJApQCDbnQNYBRkiAQwIa86t++bT4aTmxmAjHwgLwgo+GeJEjQf0F0lhQo8XCws8fF8B+VspDEihHRoMCTxNg/WAhHlpKRD8tJ35aSa4sxH9aXvq3f/rLLx9X/uXPf1pZSNI4wTEsgZF6rUGr0c2r9VqNwaAz6+aNCrl6YlTW3tbX2zMyNDg5MT47p9Bp502KWc3Q4PjQ4Fh7W/eLZ/W3bty9fvXGrRu3b16/dfXilfs3b188efrq2UtXzl+uqz52uu7UtQvXTh8/8/Deo7ev3rV+aGtv6uho7mxrbB/sGZpXqL0Wu9Ood+jm3TqlTTlumuqxy7p9yl7/TCc02xWY6fRPdaAz/ez8uKCX8fNTQZ2MU43z6glUNgDLBn1T/e7JPs6qYR3GuYFOp3oWtpshuy0pBT8tLC1Ek5FQfCH5kedCFrPToLdiKB0JJ8OhhN3mGRocv3f34amT5747ce7sdxePVNXtzy++cv5Ge2P33KRaKVfPz2pVMvVQ93DL29b2Dx2Nrxv7Owb0Sr1uTt/6ru3m5VsXTl04XXfq4unzd6/ffnz/4e2r188cP3nyaO35U6cz07ZtWLO6rLiko6VVYNiAx+u0WhgCj0i8wBISR4P9EBKFSBQJiwIgTyajsZAgShwfkYLxcCQaDEUkUWQZnsI5EhMIlMcRkcTCHBGXGI9VP9TdmoxIK4sxlsHVqlnZ5Ajms/ltWode6TSocK8jwlDJoJiQhBDN8BjOwAiHYiyCEj4/7vXhgQAE+WEUIgiCYSiSxFEEwjGIZYhUtRQUaI7GPpfXsB+GvKs+LSdWFmMAmrGwkIhKkSAnsAQScIM+FthQYSk0EuQ+LSeANklKRQyAFSxFpVYOwL8I2EhMRmP//d/+/V/+/Jc///TzysKixPGSEKRJxmKyzqu1M3LlnEJjNFhtVpfRYFUpdXKZemJsbmhwcmxUrlYZ5zXm/r6Rp09ePXr47OWLN81N7f19w5OT0xMTUx0dXS9f1l+5cO1YVd3RytpjVXUVB6u+qztz5cK1upoTP9x+8K7+Q2dLd2dLd+uH9pb3baMD43aTE/VjAbff73QiTjts1brU45bpHstkm2282TPdEZB3B+S9iGKImp9gtHJGMxXUySTNlKSZwqeH4KkB//Sgc6yP0Km8Srl6aAAym1gYYhE0FgpHxLDAiUuLP8VjSyTBOR0+KICHQ4lYdJGhRcWsZnRkqrWl6+WLhkcPn9+98+Dihau1x06drjvf+KZVKZs3zdvcVr/PAVv1Tp3SNDUyMzksn5vW2I1ul8WnmFK/e9V0+9rda5duXLt0/cHdh01vm3s7errbutoaW9saW2trjlSWH6ooK298+25kYNDncrtsVgKBk9GQwBLgPv3VtoZkCDwRiS7E4sloLCxKQU6KiOFYMBoNhkKCyNMUS6AcifE4wmGwQMIhFl+JSizmnxzsiwX5T0vJZCICQ37N3AzsNsNOQ8BugBxmBvLHeXYpFE6IUpjhBZxiYIxFUAZGCJ8f93lwyAfDARhFMAKnGJKiCBxHKRLlOUrkyJDIhCUWtMZA4xaDvVDAs2opGVlMhEGTAmAU7PVhsJfCIdCbAOvSQYFeSkaAjVhKiDm11QkWRFO+yyk30f/jX//t//7v/2c0GMJhhKNolqQogkZhLOCDTAazYlatnJu3mB1eD+RxB+w2j83qndeYZdOqGbnGaHCYTa7RkalXL99eunj13NlL3506d+b0hStXrt25c+/OnXvXr9+88f2tU7Wna6uP19WcOH387IO7j14+qb926cbTB8+b3rb0tPf1dQ4MdA8N9Y4o5WrIg5AYi8IEHoAZBOJgH+E0uFXj5vFO11QnohxkdBOcYYozyDiDjNPPclpZRC+LGWdixhlcNgBN9gdkQ7bRHt/ctFsp8+o0QQJLBsVkOLwQi0tCMBSKLCQ/cmzQ64F9XkQUIkuLP0li1OOGZmfUapV+XmNUq/RymbK/b+R1/fs7t3988ei1bEzhtUOQG4PcmMcWMM3b5hUG9YxOrzKbtXan2Qt7cL8TmR6dff284cmPzx7df/z6+ZuB7sE5mUI1o5ydmpFPyKbHJ54+fNT49l1vZ9ecfKblQ6N8cspi0FuNOpqAYyGRpwmgKSuyzEIsmoiEF2LRZDQWDYbCQigihqNSJCIFJY7nKJIlUJZAeRxhUYjHAkEKTvBkhMXkI/1BBvspGftlZSEZCZp1apNu1m1R+x2GgNNMQb6wwMSDwTDPx6SQxHAMhgEzBizgRf0eDPJBkD8Q8MFwAMdRmiJoCmNonOeoeEQUWAJM2kEfisQCKOShMHjVQjwEBMCiIR5oRoL+WQqjIkcyJELhkMiRC/EQWHUF20gg0QEuaV+uMYE9QwqD3XaLQibvbu94cO/+h4a3drOFRDEEQimCZmkODiB2m9tmdTkdXo87EPCjCEx4PajXgzrsfrPJZbV4bFavRm0YG52Wy+YmxmUD/SOdHb3t7Z0dHV0dHV0d7T3N71pfP2949vDFo/tPXj6p7+8aHO4bfVf/4e2r940Nzc3vWns7+men5gwak8fuo3COJAQUoVA/RkCIgCES6iPtWp9mHNNN8ZbZqGs+7taG7SrRNMcbFKJhNmqcXrDMJq2z2HRvYKInIBu0DHfZp0b88wrO74nQpERSQV4QOJ5huHhsUeDDGEr7fShJcIn48uLCJ44Nul0BrwcO+DEEJgmcJXDW7QpMTylamjv7O4cNagsAKOTG3Fa/UWPVKU0quRZg1GHyYH6KwQS70T06MP7hTVPT2+butp7xoYmZSbl8QiYbn5ZPyObkMwqZvKOltaejU62YIxDUMK8d6uudV8667CZQR4NposSxIYGPh0PJaCQZjcXDkagUCQuhsBAKi5LIMixJpM5RFvHxiFfE/ALsCROQfKiHR/zLEfFTLPLnxSTktClnRk2GGZdN63YYsYAnKNBA7HwpkYyFggJDp5qbsM8d8LsDfrff5/L7XAjsI3CYpjCWIYBuD8g2eQb3e+xgBYohEcTvWQXq8XhEBIfoQjwUDfECSwCMgk4vTcAkFgAYTZl4A1vllC3Tp6VkWORgn9uk00yNDTe9e3P7+pXTJ2rLS0qztqcX7M1reFUP+/wkijntLgIjWZpjKJYiORyjfV7Y6fBCAYxlRAxlaUoiCSHgJ1xOv9XiUqv0E+PyocGxiXGZXDY3I1dOTc6MjkyOjkyOj03Pz+nm53SKaeXowPjowLhSrlZMK/u7Bjuau1o/tL+r/9D8rnV8aHJ+TueyeihcoOkwSYoITCI+mIbgIIFJsJt1GRirWnTMx9z6mFsfsqp5g0LUK0LG2YhuPGGeipmmkMlO73iHd7pXN9BiGOv16+ZEDGIgf8DlggNQIAAjMCGIYQylKZKXxGgysbK0+FMiviyJUYYWQVkCArzidgXmNUbtnNFt9fudiMcW8Dlgl8Vn1Fj1KvO8wqBXma16p9+JMJggUCE8QLusnuG+0aHe4bHB8ZnJWY1iXqvUzc9pNAr1cN+QRqHuamvv6ei0GIxep6u/u6e9uWm4v2d2esJpNZEoxBA4iSIMgUscCywbk9HYQiweD0fCohTkhSAv8BzDUSRHYjyF8zjCwF4m4BJgD+93CAGnerSP8djjFBqj8H9dSiZExqSbtViULrvO47GQWCAU5OKxUDQifVxZSiZiksiTBILAPijgDvhdPq8jRe0A5yVIJkE+mRo7gTMRhTx+jx2HvJ/veiC2CzAaCwsSTwGMAlIzmFOFJfbjUjy1fAzkbUHLNxEJ+lz2manxNy+fXT5/pqai/MC+vbuzM7MzthUV7N+3Z+8Pd+6adHqWpDwOp2pO7bS7/N4AAqE0xTO0AAUwl9OHwIQkRjg2KPBRjg1TpEjgbMCPaedNQ4Pj42PTsmmFWqXT68zaeeO8xmAy2lxOn8PqgTyI3wXZjA6L3uYwu2xGh05lmJOpZiYVgz3DbY0drR/aO1u6x4cmjTo7QYQYLsEwIRgiEC/EImgQhYSAk3OaBIch7DREncaQfV4yq8JmdcKuCWlHQtohSTMETbR6xltdE13zfU368V7e7/gYC4ZZmiFwnucZlueFkCCGYYgQhcjy0s8fV/6UTKxEwslIOBmLLgalWDy2lIgvh4JxhhZJggOBQjSFcLAHd1v9bqvfqnfOKwyaWb1ZawcXPeanOELiySCLiywuGufNczLl1Oj0nExpNdg8dq/NaNWptCatcXJkYmxoeE4+Exal1samU3XHz5w8deHM6dcvnmpVCjA6IVGEo8jlwe6fAAAgAElEQVRkNAKq+IVYfCmRBFmpxPESx3MsTVMES6ACgfIoTPvdtNfOem2i30HZ9KbJYdSoYZ1mzmX7U5D/l4Uo5rO4nVqHdd7vMdNEALDdgzwD+qxBnqFwCIO9gASI+G1EwEEjbhbzM3iAp7AgR4EJeTwiAuUIsOsM+Zw6jWJ8pL+z5cOqlcUYEAQEd30KozjiA+coWEICqub/9KeP//ZPfwL9NrA7HxY5q1E3Oth39dL5uiNVB/bt3bsrOz83p3h/fmV5ad2RqrzduceqayZGRmGf32o06TXzqjm1XmvQaw1Gvcnp8MIQDkO4zwsjMMGxEjhpBD7MsUGBD7OM5HYF5hTzQ4PjE+NyjVpvt7ldTp/V4jSb7FaL0+9BSIylcO7XTjCFQiSBMgEv6vcgFqNjVqYaGZzoaO1pb+keGpw0mHwoHhKkJZIUER9GQJiAYCIMhQIeyWMPuawxjzXuNkfs+phNu+DURvRjorpXUPUhU22+6U73dI9uqN06M7YoUP/y89JCNBSLhpeWlhYWlxNLHylOxAk2HEosLf6UAmg0shAJJ4NSLBZdjMeWglKMoUWGFllG4tigz40GvLjLHrCZPQ6rz2xw6uetFqPLpHdYjC6nzQ/5CAoXeCYssBGRixIo47L7dBqTTmOyW10el99udenmjWajRTWn7u7scTs9QVGKR2OvX9Xv31dwsOhA3ZGa+7dv9XV12s0m0DQVWSYWCoL1XeCIFxYFgWFFlmNokiJxBkd4HGEgP+6243YTaTfQNj2knYHUM8i8gtSrWbM+7nd/4skg6XPZ1EatzOcyCiQskDCDBBgkAGZUAoZQATfpd7GIh8d8DOykA3YR9wKL3iCFRngyIrJhgQGaZEGecdstE6MDXe1NA70dsskRm1Gz6j+EVX+tmQBGgTIvqJlAX2BlMfbv//Knv/z8Eaja/unTMktisonR+7dv1FSUVx8uKysuLN6fX1ZceKi0qKy4sPRAwcGi/elpW8+cPGUzmdEANCefMWp1eq1hamJ6blYpn55Rzs3bbW4ogIHAUCoWXUzEl8OhBMtIFMlTJA9DhMPunZqcHR+TTU7I1Sqd1eJ0u/xQACNwhiEFiY+IXBhQXCicI1CGZ4Ip4MJ+POBFdRrT6NDkQP/4wNCs1Ynx4iLDRJAAhUMkj9EiiocQRPK5gi5b1OuIeawhm04yayLmubhlQtL0CZp+XNGNzvV7FUPG8R6PbjZC4x/jEZ6mOI4LhaPBaCwUSzo8fikYS8SXF5IfAUCTiZV4bEkUIrHoYjSyAC76UDAOfkEYIvweDPaTHidsNblNeodKoZ+VabRqs9ngdFh9bgfk92AULgDDC6B8KHJhAmX8HsTt9Hlcfp8H8nkgi8kqn57xuLySEPy4vLK0sIijWEtTc97u3INFByrLy45WVd65cX1qbJQh8KVEPIXRlYVkCqMCw9IUQeAohUIsClEBN+YwweZ5zKRB5mcCc1Oi3cAa1YJFG3GZRbM27LUmmIDbOGdQjCFOQ4xGwwTE+tysz80HvALk4/0e2m1jvbYQ6o2S/jDuZX3mMO5NsEiMhkMkHGbwCEeHeNrjsCpkk52tTS0f3o4M9hh1KtjvogmYxfyrQE80GfssoAxyU0DiIlA/IHQBjH5civ/ll5WlRBSIjjssxuePH5w4VnOotKh4f35J4b7qw2UVZSWV5aWHSov27srembk9c9uWtd982/TufcDj1ak1es282+4wGy2QH0Yg1O8N2G1uk9Fm0FssZofHHYAhnGVESYwkE8uhYAzHaFEIR8JJFKH0OstA/+jQ4LhGbdBpzWaTw+9DoQDO0ZLIhUNiLBJMhKV4UIiKXFhgQywl8kyQJngUIimc45kg5MPUKmN3/9TUjAFChEjkE4GJTpsf8SBBgongVBhFQ36f5HEGnZaQwyhZ5iXjzKJDFjeN0nPdtGaQNU7Zp3tVQx021TSHQIjPjSFoKBQJhaM4zWEUywcjsfhSIr4MIh5bAtCMRhZi0cVIOBkKxiUxCm4JcOOjEB3w4m4HZDN7THqHft6q01h0Govd4nXZA34PhsEMTYig7y5yUfBrSnyEIQUUIiEfBgcwFCbMRptBZ3Y7PSEpvLy4Eg3HGIqlCPL9m4ay4pKKsoO1NdXlJcWnTxxvePVSr1H/61/+DMqmn5aX4uEQaObTOEaROElgNAazKCQSsIh4YaPKONmv6mlR9zRZhrvQucmgVZvwWBa81qTfFoFsQchO2rWMy7RAQjHUJ3qdCRwW3Y444ot4nZhOCWvkgsMQh+3RgFXymoIBC+cxBVH3xxATZTCTZra/q62jpXG4v0erUiB+T0hkIkGOoxEUcjGobxXAJajuk7FgCqMAxaBfRWKBkMh8Wk58Wk78P//Xf+dpYqCn88aVS8ePVh+pPFRZXlpWXHj4YHFFWUlRQV7e7p27dmTsSN+auW3Llg1rSw8UzUxNwz6/02pz2ewOi9Xr9kF+mKFYhmJJgsVQyu9DXE4fqPExlCIJNihFI+EEzwVZRgQ3vsvpn5yYGR2ZUs5pNWqD0WDzuCGfF6FwjqOloBAFAvxBIQqOVQrnWEpkSIHEWJrgBTbEkELAT1id8KRcNy3XO90ERYVoSiIRGvEgUUZK0FwcIwS3izJqSb1asGhjTl3IMBY0DNLqfkI9ROomHbOD1rkJwmdPBkWRZYLB8OLSSiSahHEKIehINBmPLYG8EzwAjIKUFNz4AKM8F2JokSJ5FKIhH+F1IQ6rD1zxIJw2v8cJB7w4jrAMKQGMSnwsFl6IhpIhMQZ+IxJjCYwmMNpp99itLsgPR0LRpYXlSCgqcKIkBJ1W27NHjwvz80oK9x8/euRIZcXxo0euXLzQ19UZFoVfPq7wNBUWhXg4xJIEQ+ACz4oCF+ToEENGWCLOIBHUI7gNbvmwtqdx+v0zeeNzc38roZpIekx/pv1J2LaAOSS3gTLOCTZ9zGePeh0xt501zJOaOftIn66ryT7cjcyO8obZmFsvWJWSWyd5TazLYFNOjnZ86Gv9IB8d8jqsIYEFXSMKh9wOMxJwBgWSI+FVC/EQoGwBpIL6KSQygGEq8RQgd4UldmUx9tNKEoN8XW3N3x0/drBo/6HSosry0pqK8tqaytIDBYX5e/bk7EhP27Rp3er0tE3bt2xc/dUfrly8ZNTqQJh0evnklNloMeiMNovd7fQE/CiKkChCgpTU64FgCEcRkqb4SDgRiy5QJIcipCiEaUrQ6yzTUwq5TKmY1eq0Vofd73JCMEQQOMuxQTDMC0oxUYiIQoQieZoSQFAkz9CiKESCoTjFhiwOaFZplCv0JpOHxCWaEN02LwNRIkZFCTqEILzbTln0nE0Xdml5/WjIPCYYxkjdOKKd9GimSbd5JR6MimIsEk0mF6OxBY4PkhTHC6FYfBFAMxV/F6OiEOG5EMtINCWgCANDlM+LuV2ww+6323wgPG7E58VgiMIxjqGDPBcRhVhQSkQjS5HwYjiUSB3J4DwO+FGfFyZwJhpJLiwshcNRSQpFw7FYKGwxGE/W1h0sKj733emKsvKSwv0Hiw6c++5Ua+MHv9sFPO4/6yeQmChwQUmIiFyEJ2MsviwSvwTJP0n4CuEOu7Socsw23KrvfGfqeQ9ND3D6mZhbvwzbliCbZFYx2tm4yxR3WgjFtLWv3TPcO9/yZvLZfcWbJ4a2156hFm5+POrUJPyGJdyRwFys24hYtDzi/ykZ+7gQT0ZDQYkTBQYwWSNBJizREkuuWkpGVhZjoHJaTIRB/RSWWIZEgCofuOiBzjnkc/5499bZU8drKsqPVVccP1pddejgodKi6sNlu7Mzs7an7dqRkZ62afP6NTvSt27fsvHbP/6+q63dZbMbtTrDvNak089Oyww6o1FvUszMaVTzJqPN6fD6vDAM4RhK4RiNYzRN8STBCnwoEV9iaMHvQyiSi0YWAn5MrdLLpufkMrVGbQINVI8bggI4RfI8F5LEKEAAAEEKnRTJ4xjD0GI4kmSFMMVKGClY7L7paY1crrWafQEvjnhQyk9IGBWjqAgC8W4rbdNzVpVgmgrapnnzFKod96knAyZViET/+dNKSBAXF5fjiSWCZFGMCoXjyYWVcCj+dwEKKqdwKJHCaOq6xzEOwDTgJ3xeDITfh8MQhcA0jnEUKbJMSOCjQSkRCiYj4cVwaAE0jgDoWUYCegYYSjG0EIsuLCwsRSKxYDAcicSSkQQo849V1xyprKo7cvRk7bFj1VXHqqvKS4qfP37kttvAcBwwLSWRD/JMWGBjIr0oMZ9C9E8i/okP/EWE/8L5/sJ4fyHscYcGkfcZut4qm54S6hHBJFvxm5Z9xrBFlXDqgoY5e0/LfOMrSj4CjXbJnt3pvXmu6/qp4R8u6FueYDO9jG4iaFOyFiVt00Zwf1KgJBpdikeWEtFEPByUOEB5lngiHuFjQX7Vx6U4ICWtLMaA7n8yFowEORTySDwVEhkwEV1MhN0O88tnD48fra6pKK8sLz1Seai2prL6cNmBfXt37cjI2Lp58/o1OzO3p6dtStu4LnPblq2b1mdtT9OpNU6rzW626NQak05v0um1Gp3T7rKabQ6b0+3y+7yw34dAAQyBCRQhaZoVxSBJ0gRBRcKJUDCGIiQUwGLRRZaR7DafYlY7I9eolAad1moyOu02j8cNoQhFUwIQRgEhiVGaEkiCYxnp1/9FlueC4UiCZjgpGA1Hkg5HYGxsZmpKbTK4HVYf5EF4jA7TjAhDuN2EW3WcUydYZ3jzFKWf8mnG3WoZ4bIkBP6nxeWVpY/JxDIvhFGMpik+Fl1IJBaCUjQWXQT1O3j4uxj98iglCYHAeRzjMJRNBYAmCJqSAEYlMf4FRheikaVoZCEUjLOMBG4ShhbBG3tp8VMsuhCUopIUWk4sLUSTHrv7+/OXd2fvPHGs9sKZ0zUVh8tLio9UVhypPPTDnZsWgxZs/IYENhYNRyQ+KvFLYeFTVFyRyAjq4lzzXsWQb6Yf14xE3cqlgIE3Thr73o28vOkYbrQPfWDUo0se7YJTG7OqePWEo69ptv6B9v3T6Wc3Wy/UPCjP/X7v5oeHdw3fO+3qb0BknSGbIuzS0hYV77VGSJhD/SGgH/qXn1eWkzyDo5CHZ9DFRDAWFlb9tJL85dPizx8XgCTTymIMtPFBaQ/QGZZYk17dUP/s1PEj1YfLamsq645UVR06WFZcWFK4Lz83JztjW9b2tI1rvwU56Ob1azatW71lw9qTtUcsBqNRqzPrDWrFnFalthiMGtW8w+Z02Jxetw+GcByjAWeapnia4gmCEgSJplkMI0QhnIgvcazk88I8FwoF4xjK6rRW5ZxepTRo1CajwWExOx12r9+HoghF4Cw4OFlGEvgwRfIkwYEeFkOLNCWwjMiLAifwohQSpYggRlg2bDZ729sH+/vGFHI17AlEWC5MEbTXTjiMgtcsOlWceYY0zUL6WcikCVPEz8mF5cTSQvIjhtIeL0wzYiScCIqRkBReTH6GZioARsGxB1IRgNEvstIgCJqSwAPLhFgmxLFhlgnRlJSCKc9FwGmaOlDBOQpSW4EPi0IkHIonE8uJ+FIoGBOFsCiE46HYQjT5509/6mrtzMnacWBfQd2RmqNVlbU11bU11RVlJbU1lW/rX9jNhs+TnlgkFhKjEp8QmTCF0B6zTyu3zwzYpnpc8m5Y1U9qR3DVoF/W5ZvuDMx0Okc+qFoeaTueYTO9IdN00DglaMap2f6Z+rvPjxXfKEh/XLn3SdWeh4d3Dt4+Tkw0uftfa5oeuEabQ3YVb5vHzfNcwCWRSAiYN4hsJCyCwWdIpDgaExhy1S+fFoFLGjhNPy7FFxPhaIhPxoJIwM3R2M8fFyCf8+Wzhyfrak4dP1JWXFhbU3mq7mjVoYP79uzanZ25OztzT86O7IxtG9d+u23zBoDO1V/9Yeum9R8a6u1mi8tmN+sNZr3BYjBaDEYAUIvJ6rA5fV4YQyma4jlWEoVwUIqiKE5RDMcJDMNxrBSNJCUx4vVAfh8ajSxIYtzpCOi0VrXKqJozGQ0Ok9Fus7rdroDfh8IQgaF0Cqmpu55jgxwbZBmJZUSCIEIhKRQKEQTF8aFPn/6Z5qJDQ7K2lv7Otn7ZuNzvdEdZJsoQAuxh3cagS8fbVaxDS9r1pNu6GJT+/PGnSCiKwKTLBfv9hCBGopFkUIxEpcjHhZV45K8B+rcY/TIr5bkICIGPCnxUFGIgeC7CMiGKFHGMwzGOwHmSEACOOTac+psCHxX4MCgrJTEajSSjkSTPBQmcoSleEiMRMRwPxf73f/53HMIunTufk7WjrLjkVN3xc9+dqig7eKy64mTtkeNHq9/Wv4D9rlhYiAalWEiMBQUeCzi0c8qR7rnBFv1YO2mWCQ5F1KuSHDJcMwDP9QiWyY+4ntYN6Xtfjry6pmp5hCl6eP0orx2LmqegsZb35yseVu3tvX1i9sUVR9fjFfvE/xt2x4xj2qaHhs5XIZsi5jcLXjMXcBE+p8iQIYENh4SgxIHRJoMHGBLhaWIVML79808rP39c+BKjqeEniQV6OlsuXzhdd7Sy7khVbU3lkcpDhw8WF+bvyclKT0/blJ62KWt7Wtb2tA1rvtm6af2WDWszt2359o+/z9y2ZWZq0jCv8bncasUcAKhqVuFzevVaA+SHIT8M2qIgGaUpnueCMIyiKC5JoXA4ytCCwId4LuhxB6wWVzSyEI8t+X2oyejUqE0qpcFkdJqMdqvF5XT4PG4oBVMwwqEpASSjqWeGFgRBoGlSkqRoNE5SPARRFCVJUkKvs3W097568Wa4fwDxehOSECRxwmVhHEbapmfdFsJhRp32uCCuLCzSJGcxOymS/7USisajC4uxhVgwGo8u/O0hCuJLjILaTuDDKVBKYlwS46ljkuciDB0kcB5kqwhMowgDklcCZ2lKYmgRfASJDY4xAh8Gb2kYwt0uP4qQkhj5tPJLWIhExOhPS59G+ocL9uYV7M2rOvT/sffeT26c54Iu/4zdu7e8dbb2nnMcZAVLtmxZWSRFiSLFIDGJFGnmOEwTOJw8Q07OOQ8GGOQMNFLnbuTQDTRyBiYxSbJ9vKfu/nh/+IYQOEkkTVv2rWU91dXoQRhOP3i/9/1C967PP/nk7Mk/nDh6eMfWD3Z9sv3K5fOzvMlIOBCNhLLJWCYe9lCobGJwtLl6rrsJFgxpR5qV/XWaoUZc0MtqZ8ImIQfxWd3UvF1Difom6i9N1ZcQ/F5Ox+M0M0mLKG0RKVvLZqsvaNrLDD23goqh71yqe5SYHmvi3T4jvnPNIRphIXGIMIbtOG2BAl5nwOf2sx4u4IsG/SBK5tKxRDy85Zvl5W+Wlx8uLi7l0ovZ1GI2mUvHUnEuFHCHAu5oJKBSSi6cP/3lF3uOHT20b++ug/v37Nm149OPP9z24TvvvvXmm6+/+vorL73x6i9/9fIvX/rpv7/60i9ef+XlV1/6xcs//9m+3bsMWg0MQWadzqBWQyqVSatFTEYKw+0UjSE4TVoddg/4xgf84WgkmUxkQcFks7pi0RQICbFoym5zg5I/n1tKxDMITOp1Zq3GqNUYIb3ZbEJRhMQxGmS3Toe3aM1VoDiRYHxcMBhm2YDXy4CvBEgD3C6WppwaNTQ4MHqn8W5fT79eCwV8TCoS8VK0A4YtSrUNRubjqYV0NshwnC+QTuaS8Uw8morH0qlUJp3OppOZVCKdTc9n0/OZVD6dzKUS2WQ8k4ilE7F0PJqKR1OxSDIWSUbDCUAkFA/6o2EuDi479PjeQfFoKOn3hcAYhI1yUbgdgymLETNBiMWIYQhJ4XYr5XA7mAAbAl9jPxtimWDAH/azIbvNjaGUzeoKBePZDCial0JsJB6KnT95+o2XX/3onXcO79l7YO/ufbt3nT35h317P//888+vX78Oo8iDR/cZ1u33OChI1Xnrumao0y2f9SlmHMJhcrbHIx9jVTPU7KCNPxzWiWImmV8vjKJKmNc33VhqGG2Pm+VJi4xVTsf0Qo9oWNNZPVd3Rd1eYRlsgPpqdN235qpPievOarsqbILesFmWtFlCdpS1Yn6nLRr0J+LRcIgLcv54LLQwn3lwf3FhPrflm+X73yzff7i4uJzLLWZTi9lULh1LxgJ2GvH77EaDprbm1vGvj3y28+Mvv9j3+e7PDu7fs+vTbR+9//sP3v3d+2//DpTzr7/y0mu/fOmXP/vpL3/201d+8fPf/fqNf/0f/1JZVu6y2S16vUmr1SuVWrlcK5cb1GqLwYiaLU67y+30uF2Mx8163KzX42d8nJ8NRcKJUDDm9fjjsXQqmYtFU+lU3unwIjBB4NZ0Kp+IZ0jCBuabajUGA2SBLTiwE5RfDrsHdA4UYJlggSAXBafTz4aCXBQ89HkDDrsHgQmJWNHXO9TU2NLR3iOckxIYzXn9tAU3KnUO0paJpcJs0E7a/B42n8qlk5lkPJWMp4CjqVQmkUgVG1mQsuBlJBQHhIMxQCKaSUQz8UgadM7HwilwySzWG3RYPYiZ0KmNaoVerdBrlJBWZTDozShM0KTdYXN73WwwEAmH4uFQPBpJxmPpUDBms7pMRgS24B43m4hnE7GFXOZBOrEQCsRy8dxo/+A7b7y5/Z13P/ngvT07d3z15ZdHDx08fPDQ559/fubs+fbODofXmV/ILKbiKZ/TwpugBBN+2axPNOaXTzHSsYRZmsPVbvEU1N9KTw3FjUpWJ46TEKMTa4fadINtLslEWCcKauaCKl5IPctIx1xzg/RMJ9RXq+i4ZRqst002IQO3DX1V+FS7SzHNmBQ+3OCjEM7tiAa5WCQaDoaCnD+ZiC0v5b/79sG95cUtj5burXI0m4rGIwHWa4tH2PGxwa+PHTpx/Kt9e3cdPnTgwJf793/+GWjl3/rN6+/9/rfv/O43v37t1Zd//rPXX3n5rd/8+mf/+m+v/fLlX/z7T//HT/57R0srjRMWvd6o0aw4qlRBGi1wlCJoMKcEhM94LB3kooyPC3LRgD/sdjEBfzgSTqSSuWxmwe1iYAuOwEQinsmk590uhqYcZhOq1Rg0asgAWRCYwDGaJGwUabdZXU6H1+vxrxtKgal+NlQAHAn4w16Pn6YcKqWur3eotqaxva2bzxMyLp+DtBEWzEHa/G7GY3czLt98Or+QX8xn53OZfCaTy2bz2Ww+k8mlUplUEqyjyaVT+WLiMbDWMP14weL3KxcLfbogSQ34I4wvCObvqZT6OYFUwJeA6acatcEIWXCUctjcbqfP6/GDPD4UjCXimYA/jGO0XmfCMTociqdT+WgkFY1k5nOPEtFcPJJeSC0wTve+Tz774Le/2/7u259s/eCrL7889MX+0ydP7d69++DhQ6fOnJ6ZnV5cyuZjQT9usvDGDIMd1ukhz9wII53glFNpRPHAZUlYVObhTvNwVwSSh0zyBKGLoxqbZBIa7iB5A5xaENEKQupZv3yKlY1HdfywnodPtSs7K/W91eKmS3P154WNJZKOKnFvo3ioQz83RZp0IdYbCwWj4QjHcQE/E4uG5/PpB/cXFxfyWx4uLj9auvdgYWEpm13MphYySdD3xLFOhxW9eePKvr2fHfhy75df7Dl86MD+fXs+37njw3d//9s3Xvvdr3/1zu9+8/s333jj1Vde/vnPXvnFz998/Vc/+b/+2+9+/Zs3Xn3t4tlzkEbrstnNOsio0RjUakijNukhzALTOGGjrRRB22i71+MPh+KpZC6Tnk/EM5FwggtEWCYIgqufDWXS8/ncks8bQBEStuCxaCqfWwpyUZ83AM6HSqnTagxGAwyiKU05NhGU8XE+b4BlglwgUmgf/WwIfKjPGwBphk5rnJzg9XQP9HT186dmzXqTg7TRGEVjFOPyJcLxXCafiCXj0UQslojHk4BYLBGNxlcpGI2AgfGVKnsthcQU5KmhYNzrCdhtHhShIL1FLtPIpGqd1gRm9TsdPpfD62eC4WAsxEW5QCQUjBXe325zg7QnyEWXlx7O55eDXCwRzwNHs6mFbCK3lF2oLbv11mu/+nz7x1vfe3v3p58cO3zowrnze3Z//vnnn5848XVDYw3jsWeCrEXEG6+7NVR6aeb2dUVzFTXVwyonYybJgt3w0I0GdWJ8atAmGE+TUNAsD5nkjIZPzPQ75kbDGj6nnOGUM17xmIPfz0jHwnqeUzRgGm4yDjUiE83SttLhynM9ZWe7KkvG2xogqSDgssc4LhoJhcPhQCDA+Dx+1hcO+RPxcCwa3nJ/fvHh4vL9+fnFzMrdl4GjftY9y5s4eGDfsaOHdn6648jhgwcPHty1a+fWj977/Vu/eeP1V17/1ctvvP7aq6/88qVf/OwXP//pT//t33/6b//+8ku/fO2VVz98/yM+T0ARtE6jBb33erVGr9WZDEYMQa2UzWFzBljO4/E57J5C9xPDBll/KOAPA6tAFZXPLS3M34uEEyhCGiALF4hkMwuxaCocioPWWa8zQXozpDcDTUFHwbp2Arwef3ErDwQNBWNBLhqNJBPxTDyWjoQTPm/AbELnBJLO9q45vpBCScbLRkLRXCafy+Sj4VgilkwkHrfyRYB3APEyGklGwgnQFkfCiWIK7haKKtADEORiTocPRFCVUg/sdDmZUDD+eApVOp3Kg690LJoCo3EgiIJkCTT64HNj0XQmvZRJ3UsnFpYXHqai6XwqZ9Lqt7///scffLDtvfc+eu/dY4cP/eHE10e/Orxvz95TJ09cvXReJpj600LaBSlHbpf2lpxpOLq/8et9kpZbbul4DJYlCdVDH77sRF0ynn6oI0MZOIM4ZJQEDWK7cNQpGgmqeJxyxicZD2v4QdW0TzLqlozQs73wRBs61SHvrubdLR1vujnX12QUTtjNmpDHno6FY6FgJBQOhUIcx7GM1+txrawd9bq33J9fvD+/uJzLzadS4I42YOmIn3XfvVP35Rd7zpw+sePjbUcOH9y7d0+kWsUAACAASURBVO/WrVu3fvTBe+++9fu3fvPW73795m/eeP1Xr/7qtVfeeP21l1/65dtv/b6poXHbR1uPHPpKMDtno+0mg1mj0qqVKrVSpVGp9Vqd2WjCEJzEKa+X8XqZQsBzuxi7w0NbncBFHKMxlLLb3OlUfj6/nMsuogip1Rg8bjaZyIJzwzJBkKeaTagBsgBNUYQspKQFQFQGgPkAoH0H1hY0BXlFoaUGuZ1CoZqampFJ5G63N53MZDK5VCIdDkej0Xg8nkylMplMLp3JpdLZdCaXyeaTiSyQBgxAFBxdRZGvyQJBLuZx+wncZjZhhX5f0D8PxqUYXxCkniBwBrkoeH9QWQa5aCgYA19gUBGmkvlc9l4ins+lF+8vfZOKptOxzGJm/trFy7959Vfb33//g3fe3v/57oMHvrh44dyRQ4cPf/nFmRNHW2sqv0mGgohB1NLIqy1rOXm4/uielrMHdUN3OaMwhinm7aYHPjyOaijhWNAoCZtlaUKbQFVe2QQ9289IJ6K6uYhWkDbLojq+VzbmkY5S/F5Nb4OgtaL6zMGplts2nSjjo/Mhb5LzRTkG3Bc0xAXBPy7A+rxusHDA7XJsWZ5fWJ5fWMhmssmVZUnZTDyVjJiM2rNnThw8tH/v3s937tx56NChvXv379ix47e//c0bb/zqtddeee21V1555ZVf/OIXL7300iuvvPKv//rvH320bXZWsGvX58eOHe/rGzCbUIsFgSCjXm8AGI1mGEZxnKQoK4FbHXaPPxCOxlLRWCoYijFs0O1hTWZUodQiKImgJEnZw5FEIpldWLxvs7sNRtjj9ccTmWgslUhmQ+G4PxAGZuOEFcUoDKcp2mGzu50un9cX8PoCPoYrwLBBhg16fQGGDfoD4QAX4YJRMDE5FI4HuAjYCYZiAH8g7GM41h9SqnRymZqiHV6P3+sLcIEIF4wybDDARULheDiSAK8C+wUKbwU+xR8Igw8FgINcMBpPZOOJbCKZiyeykWiKC8Z8TNDt8XPBWCSaSiRzyVQ+nsiGI0kuGAtw0WgsFU9kAMlULpXOR2MpfyAMsnkw88Fuc3vcbJCLJhO5bGY5mZifzy4v5O4l45l8dvHR8kPe5NRv3/j1h+++98E7b3+ybevXRw5fuXD+xNGv9u/eefnU11Ul521aOSqYVHQ3C5tuj9y40H35RMXBHYMV5zBBfwRXZG2Geac577DEUY1NMh62SHK0Lk2oI5DQLRnzSMdjRnEaUSQtsqCW71fzOC0f4/Xy71YMVF7WTPeH7PB/LCYfZCNhr8ProAM+dzjExSJRjuMCgQDHcUHOz/g8YDqwx+3csjy/sJSfn8+k0/EYuKF5LpvIpGP82clDB/efPHli+/atJ0+eLCm5dvXq9StXrpaVlV29euXy5YtXrlwqKSm5fPny5cuXS0pKSkvL79xpRhDs1q3bbW0dOE66nD6QRFpgFIZRGMFwnLRa7U6n2+PxOR1et4sBGrH+UDAUSySz2dxiMBSz2lwBLuJjOJebASc+P7/MBaMEaQtwkWQqBxyNRJOhcBycfmAh6w9xwSh4SSyeBhTOKAAcSSSzqXQ+k13I5hZz+aVsbvHe/W8y2YVUOr+49ODe/W/y88updD6Vzi8tP4wk0pnswvzyg2QqF0/nwI/Smfn8/PLi0oPFpQfzC/fy88v5+eX5hXsLi/cXFu+D48Us33t07/43gPsPvr3/4NsHD7978PC7+w++e/Dwjw8f/anAN9/+x7ff/WX53jcPHv7x2+/+8u13f3n0zZ8fPvrTt9/95c//8f9+8+2fv/vjX77741/+9Of//Mv/+t9/+V//+8HD7zLZBRyjQaqNoZRapTcaYK/Hn4hnMumFdGpxPrucTuRTieyDe9/kklncgu3c/um7b/3+vd+/ve2D9y+ePXPmDydOHP3qyL49FZfPNt24JB7olPW0anvbpqquD10713HhWOPJ/U3nD8r76mOkKuMwRgl1ioIyVgid7eWMwiSmTOGqPKmNGkSMYipmFEcgYRJWZnFtmtCyujn1QMtkYxmvvYazwvkos5yOxDlvkHGDOz2zjDeRSASDQZZl/X6/n/V5Pa6VW4q5nVuW5/OLuWwmEY+FgvP5dDwWymUTLOPq6+/as/ez48eP1dTUTE3NYBgRT2R8DBePxxPf/0slk2kAGOEAPK5hM/FYOpXOJzL5wrYAOKlrAed4afnh0vJDcPqBQ/ML99alIAF4yfK9RwDgwVoeffOndXn46I8PH/2x+CFw6NEf/+PhH//j4Xd/vv/tnx58+6cH3/354Xd/fvjdnx98+6f73/zx3qPvlh9+W8y9R98Blh9+u/Tgm6UH3yzef7R4/xHYX8u9h38ELD/4bvnBd0v3v126/+3ivW/A/sLyo/mlh/nFB/nFB/NLD+eXHs4vP1i8/2jh3sN0fjG3eO/P//m///Tn/4wnMsFQzGhCwBovSG92OrwgE0jGsulEPpdenM8uz+eW8tnFTCqfTmZKr9782b/+246t23Zs3Xbs4MEzx49fPHNy78fbqq+ea79VIuxuVve38+rKJytKpiuvDd44237leGvJcV5bpU09Hbfqsm7zvAeed5qThMqlnPQop3K0bsFuCOnnAhpBFtdGjdIgJI0h6gShc6hn9RM9Zv6QD9bEGWeEdQUZd5DxhANMNBJKJeOZTCYQCAQCATAzMBQMcAHW73V5nTaf173iaC6VTETCC/OZRDyczyV9Xkfl7bJdu3ZWV1dDEBQOR3PZxYeP/pTJLiwt3Vt6/G95+X6Be8uPCiwvPVxeeri89Ghp+dHC8qOFew+LKfi3EcWqFaJUIQitovBMQOF4Lr+0LpnswtOQzsynM/OJTD4UT3GJVDCW5KKJYgKROBeJB8IxfyhaTCAcAxQfZIMRrz+4LkwgwgQiPn/Y5w972ZCXDXmYoIcJgh23j3N5A06P3+UNuLwBF8O5Wc7hZR1e1ullHR7GH4qGwnGXmxFLFLN8kUgoM5tQMLMRFFWpeC6dyGeS87n0Yi6zUGCod/iVn7+87YMPd368Y9fHH587eby2vLT8yvnSs8cGG8sNUwPw9IBxsAMb7SEn+g0DLfLu+snGm7Ptt2HhYACRZVymvNuSJLUZq44zClk9P4Eq0oQ6bJJGzLIsaUjj+gxlzNmQtA0O43o/okk4sXtxf9Tv5lj34yElNhziYrFYMpn0+/1+vz/gZ/ysz8/6WMYLrnTL+DxbFuZz8/lsPpdJJmLz+XQiHs7lUzY7ef361V27dt5taSZpKpnKxOLp/Py9THYxlc6DAjadyYETmc7MZ7ILyVQumcolU3lAIpkDhGPpUPwJwrF0OJYOxZIFIlFAPBKNF850wQCGC/sCIQ/LrYvL5wc4vWwxbiawLg4Psy52tw/MUy48tLm8NpcXsdotVpuFsppJ2kRQxVhwyoyRJpQAmDGygAWnnhoaYMYoE0oCjAhR2DHAuAHGjQgBDsIErTHDWgtiQgnIghpgDCFohKAlUqXZgrFMEBT1LBMMsKFYJJlKZFOJLCgEM+mFbGYxn1uezy8jFvyDt9/f/uFHn27dvnvb9srrV9vr62pulFSc/Vo80GpT8GnRhFs8nYDkcaPCr55jtAJkbtDA64HFw07dbIzW5lzmFKVL09o0rU3T+gylT5O6OKoJQBKXkm+XzXp0Er9Z40d0HG6KOfAUY0txLr/H4fU43C6by21ze+w+xhUIsMFgwOfz+Hwen9ftdjnsNtpuoz0OO+N2uZz2LYsL+YX53NLifCadzGWTiXg4k00gqOnKlUu7du2srLotFElghIAR0un0e32cze62O1yP8TicXgBtddJWJ2110VYXRTsBBO3EaBdGuzDaUQCnHDjlwChbAYIE0ARJwzgF4xT4u4N9M0qYUcKCkesCngP2wTPNKGFC8I2evxGrPgK8jxHB9QimRVANjKgtsMpsURnNALXJojKaNQazGjKpIZPGYC6gNVq0RovOBOtMsN6M6M0IZEGNCL4uQEEDjEMWDLJgejO6LuCnOhgzYITKaNaYYT2CgU8xIbjOaLHaXAwbjEVTkXDC6/HbbW6fxx8JxePRVCKWTsQzwNFcdimfW57P34uE4ocPHtm5/dOt7757+dTpzsaGurKbpw7s6aktNQtHnGoBJRz3KwUpizpuVIQhacgkDVikHCp3GeZI+bhbx08QmowViiCKtN2Qd5iSpD5J6nM2SwzV2pUCXDiNi2cJ+ZxVJ/eipqCdCDopzmV12gi7jaStOG3FrTbC7qCcLqvb7XS7nR6Py+N22qwUjiEIbCZRxErgBI5uuX9vaXlp4dHD5fl8OptJJBORXD5lMGq/+urwjh3bS8vLRscmdHqTBSZI0mWxUCaYMCF4ATNKmBGygAmmijFaSAihVgFCAmRBIQtqWAE2WGCTGTaZ4eI3BxhhzAhjBf9WsZGjG7G568VYMNKEEnqM0KK4BsHUMKqyICozDFBbELUFUZtgtQnWGmGdCdGZEL0ZBUFOa0F0MKpHMAjFIRQ3YATYWYsewXUwpoMxrQXVWlCNGSkGHCxGB6MaGNEjmMYMq4xmI4IbLKhIpkQxCkFJDKVoyuHz+ENcNBKKh7hoOBiJhmOJeCadymeyi9ncUja3lMkuLszfu3Ht5s7tn257773eltamyluXTnx97sgXGt4AqZwmpRM4f5hVCcI6SUA1x+klTiWPNUnjVp0flePSUUIyyur5IZOUg2UJqyFO6RmjhLMo8y583k2EMQMuE+h54+qpMbNcaDVDLgJm7DTnc7nspMNO2m2EzYrbrLjDTrqctNtlc7tsPq/T53W6nFaKxDEUxjGEInECR7c8uL98b3nxj989XFrMpVOxVDK6sJjV6VX79+/dvn3r1Ws3enoHtToTglhR1KHTwUbLijRGGFs58TBhggum0sWOGmASQig9uo6jIIo8Vgc1IagFRi0wupGLhQ/dCMP3xqMGC/r0LhZH7mJgnDJjJISTuiJN1TCqgVENjGoRTIusiAXiHAiHegQrVtOIk0acNBGUASPWRY/ggGJTi4zECqwYDCNaBIVQfMVRnIQsKF8k1WgNGE573CzLBBlvwOfxAzh/MMSFY9FUKplLZxYy2cV0ZiGVnn/08E/trV07t396YM+eib7+818fO3PwwODdekLNRyRjJl4/zh9mlHy/UsCqBEFIapNN0fIpNyRwQwJSOkaKRlzyCYdsMoyp4zQUxjUeSOyBpAGL1mdQEvI5aHZCOTGiFfBok4G10T4b7bKSHoeV8Tl9XofP6/B67D6vg/E5WcblZ90+rxNMegr4vT6v2+N2ul0OsN2yMJ/L5zKPHi7nc6loLBhPhBcWsyq17NCRg9s+3nr23IWW1k6ZXKPTwXojoTOgBvP3NhgteIHi2PkYGjJTOgulhVfQWQidhQB/cZBvPVYQM6MYjGAwslq4goIbubWRdhu5vhHFEheishHB9TipJUgNTqgxXIt+jw7FdSheMAxCVzLIgnwFOzfHiFNGnDJgpAEjIZSAUKL4PSGUAMeBxFoLqkMxtQXWoRiEEyBm682IQqM3mhCb3c34OIfdg1hwiwklcavT7gGOgjWMoLc1mVxIpvIP7n8nmpPu373vxuXLHQ2NR/ftLTlxXDLWbxKPKiba1KOtKK+fEow6RBMe2YxLNkOJx/WT3drJDgOvRzverh9rx3i9hGDIqphGpRPQ7IB6sls71W/kj1mE02bhjFWrdJgghibjLJONhlORSMjP+rzugN/j9zsBhet9h7mVmymA6z4HOT8XYAOs38+wfta3JRlPxOPRpcX5RDIS4HzhSCA/n5bJRYe/OvDh1g9Onz3T0dmt0Ro0WqMWQiyoVW9E9CYYMiOQGYFMKMBgxiyotYAZoQEmlIYQqx6lIMT6fShFicIZLbJkdWu+kkg8tueZJNsEC6hp1mxhnLLgFELQMEEjBG15/EwDQUEEpcdJAISTEE4aCArCSSCWASNNKGnGCtXPinxmki5goaybO2pCN3QUUIijegyXQQa1BTZRtMYMy3SQ1mgxwpjZgskVmonxmeGhcaFAgsKE2+nzuJhgIBQMhkPBWDiSiMbS8UQ2mVxIpRYX5h9iCHn88LG2+obKqyVnjhy6dfHcaHuDbKxN0F2lHGg0TXRBI22WiV5idtg43m2e7hN218+0VfHaq8cayiYbypV9d+GZQUFPc29tad2VU7WXTndVl4mHe+xGbYrxpBhfOsjF/QGfw+VzuUNcOBqNcxzHMF6GdQNYxg0u9sQFfOGQP8g9ruv9fpZlGcbv87EMw2xh2YDb6/F4XGyA8ficsUQ4mYmqtLK9X+zauv2DLw/u6xvonZnl6SGjHjLrjYjeiBRSeACoOotrzyehDRhpQulVxx+3+ERR07/uy18wFpw2EfTTb00EbSS/BxwBFEpyGFuhcORZKbzWjFGgwC/YqUdWYrYOxbUIBrYaGFVbEGCt1ghrIcvI6NTY+IyAL9HrzARqtZJOl9XjcTEul8frY8GqwFA44WUjudzDeDx/b/m7RDRz9MCRsd6+ypLLBz/ZfuHIl4K+FtVIi7S7aubO9emmG9LOau1Qi2awVdxVP9NSNdfZONlc1XLtfNXprxsunm6/UdJedu3ioQM3Tp7saag3SSU+kmRtVr/DGfFzQV/ADwac2RDDhrxsxMtGvGzIzQS8PnYtPsZfPChYwOVmtrB+zsf4PT6vn2O9jCsaDyXSEY1ese/L3R9ue3f/l3u6e7t4/FngqM5o2cRRsLNKxL+1c88MQf+VrHJrFc9hZ/FrC44WwiqEEnqMKGi61lGdAdZCFrXGoFJDep0ZgUkKt9OEw0G5nHaPzebw+LxgDDkSz7FcPJO5H48vzGfvp6KZqxeuiCanbl+9cnT3zpunj4v620SdNcLW8qnG66M1l0dqSsbrrw/XXe+rvNJZfqmz7EpX5Y3uytKGkovXjx29euxY+dmz8skZ5awAUesZ2hH2sqzL57G7PS7G4/a7PX6nh3N6OIcn5PCEbN6QzRuyu/x2F7MW2u5ZF5vTtyUUjgZDET8XCIY5P+eLxkOJVNRkgQ4c2v/eB2/v3rOrtb1lVsDXQ0bIYNEazMWOFrpFQNdJcShdEyZX82M5CtrWtWxk5NrwubmpL8rRQpJqwFYSDD22Iuu6jlpgwmTGTEYUthCohUQtJInQFGFzOFzA0XAkEYlkAoF4MrmUTC7l0suL2eX+jn7FrPDUwYMfvP7qH/bt6rx9beJO+VTTjeG6q90V59punuksv9BTda2vprSt/GrNxdOlJ78uPXmi7MyZ+mvXxts7DCIpQ9kZm9Pv8LIuH+P0euxeJ+2ykk67zWOz+Wg7S9tZyh6g7AHCESAcLGXzrgtp9awLZfNuicWTsXgyGIpEYtFQJAgcJWns6xNfvfPeW5/s3FHf2MAXCHV6g9GEaCDTWkf1ZrTQvVfQdFXn8/9x9FkdNRF04XcD6S9gI0c1WqNWZ4L0FpMRhU04aiFpzEaTdqfT7fZ6nC6fj+GCwWQwmEwkFhfy38TCmeX8faPaCGuhU4cPbXvrt9dOHRtsrumpud5ddfnO9VOlJ7+4fGT3laP7bp48Unrm69qrF+uul9Reu1p382Z/c6tOJPES1rCbcWC0i3Y4KCeJUARG2yiXw+qhKTdNe0irj7T6SJolrCxhZTEbS1hZgvYStHvtlrIxlM27dkvQ3i3hSCIWTwa4UDAc4kJBLhSIxMJ2p+3i5Qvvvv/O1u3bKipvzfLntDrIZEbVemOxo4VOQeBrQdPifunih8X8ozm6IT+UjK6y7QU6uvIlwSkDscImjqrUkB6ywBYCQ2kKt9sol8vqcdo9drvT6XY5nF6Xm+G4BMtGHXbGz0bDXDITz9EIjegM186eO7Dzk6unT1RfvcAbaOf1t4x3Ng001/TfrRnqaBzrbh3r7Rjt7hzu7Bju7JoaHNFKlFaMclEuK2q1EXan3WOzujGUxjGr3eZzOlia9lmtDGX1U1Y/aQs8Ac0CcVdtMcKLke61W4Jitnh9gQAXcbp8Hi/j9bEuj5vxs06369btyg8++vD9Dz+4crVkhsdXqbUWGNdAJsj0fRDVmRDQfQ32izUtzlbX5ceKr4UGdBX/gI4Wx9FCKN3IUYMRQTHaZnU77F6H1eO0ed02r93qcjhcLrfX7WEdTq/Xx8EwPTI8PTw0NTcrE8/JFWIlbob1MjmsUTNWyktjjA3jXFTYa4v6nemIP5uIpGPhGMfZcFIqFE0MT0oEUqMethgxDLbarF6KcttsPtruwykXTrloO2t1+AkKCFqkpjUIoKwB8KNVW5xkcNK3dkvS/i201eX2+EnKYbW5HE4vSVkdTrfT5bnb3Lpt+4533n3/7LkLU9M8hVINI8S6jhZGWYo1LTyn+OGqSutHia9/jaNPY+oLzEcLXaeFhn4TR2GEtNrcbhfrcjIOq8dh9Thpt5VyuFwej8cHppYyviCkt1RXNZWVVrc1d7Xe7RzuG5Hw5yx6PeuwZaPhTCS4kEku5TNL+Uwum0ynEol4NBjg3G4vSdgUco1ErIZh2unkKMoLoy6CYlDSjVEenPaCLWjWCaufsPoJmisiRNAhguZImiNp/zNtt+CEzeH0oRhNUg6b3YPhtM3ucXvYru7+HZ/sfPudD06eOjMxOS1XqBCU1BrMxcno5o4WDzQ/Pf/H0XVrJlAwbVIzoRhts3u8noDbxTptXpfd53UwTpvXafe4XB6wSCYey1hpV1trb1NjO3B0sGdosGdgjjcLqVQemy0a5MBEpFgiHoqEg6FIOBKLRJPBSBKnXDBmM1poM+okKIZ2BHGaNaIu2hUmnRzhCJBOjnQEMaufsPpJWwAj/UVwBXDSvy4EFdiILWsqKRfYzokVe7889NY7Hx77w+nB0Qm9CZYqVcBRoGOxnRvNhHjuOFpcdYHMYZVq4FwWzxX6Kx3dCAgnIYICgDZ3RdY1NoPf55k1RakChf+UGaNW/w7499W9BkaVJovSZFkZ1teblRoDQdrtDi9w1E677bTbbfO6HYyfCTrsHrByC9zfvb9nuKu9r79neLBvdGRofGxkfHpyRimV0TgRYP3hSCyWSrPBSCAc8wdjLBeNpxbCiZwvkKDsAdLmt7ojtCOI24KEPYRQfszqR20rYFauQHH4JKkiVkLpDwDsxEk/ZQ1uWSm+VuOBMduZ81de+dWb+w981d0/pNYbpUqVGcWKBX0aTZ/D0VU9A8DRF5WwPrOgj0eY9DhZqF0MxDoRt9iwp+dFOUpSDqeL8XoCTofPYfW47D734yvo4hjtdjEsE2S9QcbD9XUPtdzp6O8Z7u8ZHuwfGR4cmxyfkUrlKIp7vIyH5bho0hsI+7iIxx9xMaFQLB8IZwhHwIg5zbiHsHO4LYjbgqQjitJBzMqhNj9q41Ab97dwlKS5LSTNroPV52VjTc1dv3j51zt372/v7lNo9FKlCsaJjRzdiGd1d62gmxRbfwdH9RihK6J4OHRdU5/193lRjhpNKE7YrLSLJOxW0ul2MB67j8LtrI8Dywz97MoVg/u7Bptq73a29XZ39Pd0Dw4OjE5P8cEaMtrhJu1ujz9i9wQc3pW+dy6SZ7i0BXPrTVYL6qVsIYIOkdYwbV9xdBVPpqEc8XRSbuQoQQVWOep/DOvyRHkCxVvvbN+xc9/d1i65WidTqfUm8ypBf1DTFxVfNzL1b+3oE/NIgKYYoceIFVPX5rU/NHixiidmNm7wez6NoxTt9HgDPi9ns7pB35MVt8MmHENIixkzm1ACt9ppt8vumxie6mzpvtPQ2nKno6O9t39glDcr1EAmlLSSdjdBux1ejrR6KIfP4Q66mWgoMu/xxWHUbYadBBWwO6OUNUjRYdoaQYkAQa94ua6dGzj6w3USQbEEFcBJBif9W1ZKsFWFmNWP06wJcRw6euajHbtv1TRIlBq1waCCoIKXGoNFY7A8ZTR9Dnf/QRzVINjqGU8YoXvs6FpTfyxHdXqzBSZQhDIaEL3GZNBZLBBi1MOwCUdg0qiHcYS2EXYn7ZoZ53W39TTVt9xpaG1qbG1p7RoanZJrIJSy007G7vJ7mDBNe2i7z+uNsFwyHM7a7X4EcaKoy2EPedwxm5Wz0kGbNYRjDPnYwjUuFuKdv9gxEAF/cEtQDEGxoAdqA0dpDsEZuztSVdf+/radV26UCyRyCIa1JlOxoKs0XZdndfcHw+rfua3Xonixo4VG/x/NURghjSZUrzOrVZBcohbPyWVChUKqkQgVGrVBJlYZ9TBqwgiYnBqd7mjubG/pbr7bUVvTVF5Z29jSMc4Xas04RrtcrkAgEHc5/W43x/mTwWA6GEjhqNMIUYjF4bQG3c6IjfTb6IDTGqZwP01xJM0Vb3/I0fVyyzUQFENQoJfUt+VJO0OFfiyC5pze2Pi09OPP9pXcrJiZExsQRGc2P6ujz+ruqoD61wfOF+KoBic0+BNZaaEzqEDxnMNnACYKFLv7rI5KZerBofE7TW11tXdulVVfOn/13MkLF85euXr5Zk11462y6o7WnvGhCZlQPjkyNdA92Ncz2N3Vf6eprbyy9nbd3a7B8RmRQqLUwwjp83KsNxjkYrFwJhxKBf1JDLZDWhQxWz22oMcRtuE+G8l6bWEb6beSHE1xVspPU36wBTzpKFvgeRxd0XxNDkHZQlZnSKFB9n75dXlVw7RArDVa1JCpIKgaMqsh83Nr+qyOrjq1f5++JzAJ/wk1i1x5IY6ufPHg1fH1KR3VmVYcbW7pvHT5+rGjJ8+euXTtSunlC9dKLlwrv37r2pXSqlt1l85fLb95u7Gmaah3eKB7sKe9d6BveGhgtLtroLGpta6xra17sHdkamB0WiZV22l3gAnHI+lkLB8LZ8JcmsRcJojAEYfHEfY6IzTus5Gsyxb6OzhKUMyWVW9XwIy67O6wCbF19o4dPnF+fFYs1Rg1JkxpMCsNprUUFqOtwbIuYCVQgXVX8BSvlChQmAK8uRHXIAAAIABJREFUahbwqgnCq57wTGpu5MdGddJfzw9+eQpT8TUwqjLD4G+40qbpzWqdSSpTSyUqmVglE6sUAKFSLlJK52QyoVwuUqikaqPWZNSa5vjinq7+gd6R7o7+rs7+5rsdY2OzQqGyu3u4v398fGxWozY57EyQSyRiC8n4YoBNWCkfpMNgs9XpDDFMwuUKu1xhpzNEEF6KZAmKpUiWpJ9Qk6DYdcEoZl1wmsXpJ36Kkj6U9GHA0TWasiTNwribdnAo6Z6YkZy5XDo+K5VqzEoI3sjRjTGvy1pT111ltrmjqzRd9aMX4ug/CD/oqMWMm02YxYiZDShsQC0QYtHBFp0FMaKIEYYNiElnNunMRq1JJlHOTPF7uwZ7OgeGBse7OvvHRnlymU4kVKpVRv6sFNIjDjvD+MI+T8Tl4KxWhiDcCGI3GAgEc9udIaudI2nWaudoW6DYvydi59/BUYzy4TRDO/xaA15R2zw6I5aoTTKt6cU6upGpm8u61sVN7Pz/gaOFr98mjup1Zr3ODGnNeo0JUhv1KoNeAenkOqPWZIHMFgg2ak06pV4j1yrlGoVM3dM50HKno7Wlq672TlNj+/jYrIAvEwmVCrkegWnGF45Fs5w/6XJwDkfA642QpAeCcJPFDhzFSR/QdCMXX6SjFMmCcF0EQ1AMZQ/AuNvqDJA2prVnZHBCIFIapBqjAjIpIOOzYFqXTWTdaP3uM2m6Ng3Y3NR1n//jsjaIbuKoVmPUaU16jWmVoyqpWiNX65R6nVKvlKhkQrlUrFDKNQKeuKO1p6a6sfRmZVlpdVfn4Ngor6d7eHpKKJVoCNzBBeKglSdJj9sdQlGHxWIlKMbhCtO2AEExYLuRizjJrMuzOoqSvi0kwZDEqjfy4aTP6gxaMBdpYxye0OiMuH9sdk6ul2nXF+75WDesrhtTNzF1XXELyymfXtMf3cjNKawL3chRtQrSqA06tVGvMRk0JkhthJQGvUJv1lt0Sq1SolKIlRKBdG5GKBRIFDK1CUJmJgVdnf2tLV3Nd7tGhqflMp1YpJoTyEVCpdGAedwc64vZaIYkPQ5HwGymCcJtcwQxwmswWXHSZ3eGMMJb3Kxv5OXfylHawSGEByFcdndQrDIOjPP5Uq1Cb1HoLesKJ9cbn4lnklVtgjdZdV44uMrRdeX7Z3S0ePX9Ro7KpGq5TKOS69QKvVahV8u0KrFaKVLqVZBoVjg1Oj01Oj05MjUxPMnnCdVKnVyi5s+IhocmxsdmhoemJsb5CEz7vCGHnSEJp83q9bPRcDDDeKNud8jrjZhMFI67EMwtU5jnRDoL4nR5ogTFrHIUI3yAF+kogfsI3Fd4a4zwYYQXI7w4zRBW1oTYaIffgNpGpkU8sVoJwXKd+Vl1fCZTNyr/N0pPCyG2OJSu6yj40T+Lo8XpSiGIbuKoRm3Qaox6jQnSmiG1UaeENFKtSqyamxGODY4O941MDE9ODE+ODozNTPHVSt30BH9qfLane3BinDcxzu/rHdWoTeCGej5vyOsJ+tko50/6PBG73W+zsUYjqddjMoV5ZlbJ46vMsMPpjjweE/o+iAKFUNz7pFFFvEBHEcJDOzgjbCVtDG5nJviyGZFKCaEbOSrTGZ6JdTVd19RCu7+Ro8WaPrejT1OH/Z15JkdVSr1aBWmUkEYJqWVahVgl5ctEMyIhT8SbmJmbESolKumcbGp0emaKr5Cp5RK1kC/t7OibnJgV8GXdXUOzPAmBOwL+GLh/bjSSiYSyATYBZjRDEC6R6GZmlTOzSonMCAp8ME9+VRBFce8LdBQhvBs6SlhZnGbMqB0l3ajVK1IaxmelCj0i1RhlWpNMa5LrzHKdGewXDq7Del6ucrr4+Oa1/yojn77f9J+OtdEdHAETnDVmRG2CwUiKRm/W6M0KuVYu0yikGqVMq5Jq5CKlZFYqnBaK+ZK5GcHcjFAikIpmxbyJ2Y62bgKjMZjCEdoAwcNDEwP948NDU0ODkxhqi0YyQS4BNPUzcSvlM5tpCMInJoSdncMSmXFWoJ4VqG2OIGX1o7hnVQQF+89RM60Nn0/V1uM0Y8EcKOnGbD6xyjg+K5VpLVKNcZWRa4/86I7+E2m6URB9VkdVSr1cppGKlOI5uZgvFc1K5qaE/An+3IxQOieRzsmkc7K5GeHE8GRbS6fHxWhVBsbDZdILRgMyNsobGZ7u6x2dmpwTi1RKBWSAUKMBk0n046OC3t7x3t7xwcHpoaGZvoGZ8lt3RsaELk/UaLapNOiP6ShKeoGjGOXB7YxEbRqflUrU6xj59I4W6/g0jq5bQm1U4/+ThtJ1x9J0MFYQtPi/AxzVIljBUY3BooUsWsiiUuplUrVIIOPPiATTQsG0UDgtmpuam53kSwRiIU80NyMU8kQj/aO3b9WYjcjY8NTMpMBKu4JcjKbcGrVpfGy2t2ekt2eku2uoq3Owo72/raW/vXWgt3d8dJQ/OSnq6hqprGpputuHEV6CYgaH+Wot9mM6CuNujPIVHJVqzOOzUqECAkYWpCw83BAtJNVCa43cyNGNKv1NhqM26n76p2DzZHTtkcL1+lauomOEdQZYZ4DlMo1ErBTypQKeWMgTi/lSKV8m5UvnZoSgrp+d5CvEyvGhiXNnLvZ2D8gl6qb6lt6eIQylwQ2eYQs1NTk3Mjw9ODAxNDg5PSUUCzVSsY7Hk42O8uvr22/fvnO3ZUCtxRh/anJaVlXTRln9fw9HccyLY16Q5z7Gg+IeC+YCjqKkG7czch08PisVyHQStUmqMa9i3YNSjbng6FpTN3d0c1OfZiDqWZ34uxVAz23wStxF8YKjK7NwjIjeiEglKrFIIRLIRAKZBDArFfPEQp5IzBdNj83MTvLlIsXkyNTJE2du36oxG9Cx4am7d9o72nunp4Q2qzedWvR5QxKxmj8rnZwQTE4IZqYkk+PCvr6Jlpa+oaEZhcJI2wIo7pmakZdVNNXWd/6d8tHNHTWjdhh3YjafQo+Mz0pnJRqJ2rTKyLVHnnD0KTTdyNF1h6Oecrz0n8XRpxn/LO6vWLkyGYyB657qzSuXLpRKVBKxUjwnFwlkolnJ3IyIPyHgjfFmxnlzMwLB9NzMOG9qdHp0YOz82UulNyrkErVWZZicmG1t6aq63dhQ3yqTal1OP2yhTEZcrTIK+LKpCRGfJ5fJIK0WsdlYivLqILJ/kHf9Zl3JteqevikdRP6YjsK4G9T1ZtSOWr0KPTLBl23i6AYYJGqDRKPfXNNn6jd9ymH9fxZHN/8916YxK1cme+woZMEMZsxgxgpxdA4IOjXHG5udHpmeHpvhTcyAin50YGx2kn/zevmFc5cFPLGVdGrUBgFf0tc7euL4uaNfnaquahob5YmESr0ONhowgx43QoTRSBqN5MjIbFNT1/mL5WfO3bxccrv81p2hEYHRbPs7OfqkoE84akIcJsSGWhmFHpkUKGclGrHKWKwp2C8cfNJOExAUsImmK2o+2fO6kaabDJP+Mzq6+as2cVQHP16qYMaMFlwiVoqE8rlZCX9GNAfKpsk5/oRANCvmTcxI52RgIBRSG2qrG44eOd7W3EXhdplUzZsRmk3E0ODk2TNXDh74et/ew4cPnThx/NyZ05cvXyy7VlJ56VLZ6dMlp05dqahouHaj9kZpfWVVS2l5Y0vbkFxpeUpHMeqpBF3fUQviMqPrgBBeM+oyIU4Yd8O4R2+iRTLj1KxCrDKLVatjp1hlXAmZj5FqoaJWXv+Y7zUF3atPAst15lX9rwXAMKwSgpUQrDIgKgOiNqJqI7qRrBvVUjoYXRdwEfv1WH1F+vWuUb/hPNcfjJcb1fUbsTKNFSWAo6CtN5gxhVw7yxPxZ0QigUzIE4tmJTKBXMyTiPkSPk84OzM3OzMnE6tUcl1Xe9+hL49WlNYIeFIcsQl4UolQMzstHeybvF5SWXK54uuj5/bvPbp/79HPdx3asX3vZ58dOnTo9Jkz1y9eLL9Z1lhd21FV0367uq2lbXhsQkKRLBhLL+7GX6sj8uxqFjmKudcFOGpGXTDugXGP3mQVyYxTs0qR0vTDjj4RNfXrOvpkF5WlwAt0dF1N/xaObj7PdfN4+ayOroqjBhhc6J2QyzQz03MzkwL+jGh2UiCYFkpmpUKeWMyXCGZFM1P84cGxvu6h/p7h+po7x4+eOvjFsZHBKb3GMjUuEPDkaoWpp3Okuam7oa69trqlsqKx9EbNlUvlp09eOXr0/KFDp0+fvnb+fOn1m/VVNe3VtR23q9vuNA/0D84W5nsUHF3bpiNFvEhHYdwDHAX7kNkmlpsmeQqR0iRSrm7c/2EdXc+eZ3N01UTBTe77sUk0fR4XN2DljhEWVAevXEnTjJAWlFIp9QK+ZHZaODstnByZHukfG+4Z6Wnva7/bcbeptaHuTumNirOnLp49dfHc6Utff3Vy5469leV1Ap5UPKfs6x6TS/QjgzPdHcMNde0td3vbWvrvNnU31nfUVrfcvFl3/nzpuXM3L14sv3ajrrKqFTha39jT1jGKoR4C961q3FfNE/1rHQVhci3AVOCoBXMbLHaJwjzJUwgVRuBosabP4eiT3ahPdAW8WEfXzJPaKF4+j6NP+aG6NTcM2dzs53BULFJMTwl4U3Oz08KxwYme9r7WhrbqitqLZy6dPnnu7OkLZ06dP3Hs9IWzV8pv3r5dUXvk4Ik9uw7cbeyAtHBzU3d/z7haYertGq2+fbemqrmmqrm2uqWhrr2pobOhoaumpu3Gjdrr12tulDbcut1SVdNeVdNeW991p3kAtjgJ3EfS/kIQXTuX+W8VR02Is6CpGXUZLHap0jLJU8zJDUKFUaQ0rKmT/rEc3SjObeTKD7r4fKY+Xy67eVsP+p4KbT1YUyoRK2d5IvGcXCnTykVKiUAmmhFPj/Ha73bUVNVXVdbWVjdUV9bX3G6orWqsKK06d/rKe29vO3bklIAnHeqfqqtuMUHE7LS0o22wtrqloqz+9q2mmqrmqso71dWtd+701td3VlW1lN+6W1HZfLu6raqmva6hu/FOn8lowzEvcBTFvTi5MlvvRTq6bsFkRl1G2FGQFTyUqWDg6JzcIFRAazR9NkefrLG+d/3FOvr09mwk36pprBstFVz7Qc8Xbn8QcOk8kDysXH3IghsteCGOigQyMV8qnZOrxGqZUAEbEIVMDebeq+Q6mVg1PjLdVN9y9XLZgf1Ht37wadmNKpFA1VDbNjUuVMmNUxOitpb+6tt3a6tbaqqay0vryssb6+o6mpv7Gxq6KqtaKyqbQSita+huaOqF9BSOeSlrADgKVjW9YEdNiHNdDBY7cNQIO8ARuRqZ5CkEMuify9Gn1PT5HN1oZcval7+ofHQjR/v7Rlpbulrvdra3dDc3tDbW3Gmsaqoqr7l1s7K8tLKh7k5/7xBvak48Jx8bnqqrbrpx9db5MyVbP/h0z64DI4Mz4yP8tuY+pcwgl0JjI/yWu7211S1VlXdulTfcunWnurq1qamnvr7zdnVbRWUzCKW19V31jT06LYGhHtrG4SSDYB6CYilr4EdzVKFBgaMCGfTXOypWFWMs8Ld29Fkb8R90dN1ouuq1KqPlRTkKxuvXtvXdXQPNdzuAow3VTWXXKi6fuXL8yB++Pnz85IkzN6+XNzU093UPjY9Md7b1XrtSeuXizeNHz3z68Z4P39txu6LRBBE9nSNyiR6x2BQyw2D/FGjxQVtfWXm3pqaturq1sqq1/Nbd8lt3QeVUW9+l1eDAUYzw/a0cLTTuq/LRx52jHlAwmRCnWk9M8hTTQrVYZRYqoMLY/WNZn3C0CF0RRcc3iKMStaFY00LtX9AUmAo0VRmQVaJsXrJozCtm/yDgzZUQvMk1AdZlk8mELwSVGQZz85QGs9YIm1DSglJGC15b01R6s3J4YHxidEYwLZwanblytqTudkNtZV1HW3dv90DznTaQrZbdqDx14tzxo2eul1QcO3Lq46279u4+3N0xTBMeqUirUpiUcqNMou/rGb9xrarsZm1dXUdFRdOtW3fKyxtvljWWVdyprGoFZdPt6rY5gdZm5WDUDUp72sYhmAfFvcWSwUVs4uJT5aNryyZQ4xthhxl1aQ3UNF81LVSLlKZiR4UK6Dkc3ahm+isd3UjT72PbxlKuergSsze9dMVTOvoCNVVbEDCnBMzDB3W9wYxdLSk9cvj45BhvdGiyr3Ogv2uwq7m7/W7n1Oh0U0Pz8ODYzBS/qb7lxtXyyvKarw4dP3zg+PWSiq8O/eG9t7dt/eCzshs1kBa1kl5IhwkFqslxYWf7UNnN2hvXqior75aXN1ZUNAFHS8ubbt1uuV3ddru6rbKqlTejtNIBGHWDsomyBhDMgxG+F+koaMfXNRWMNsG4B9T4OiPNm9NMzalESpNIaRDIdKCtFyqgtW39Dzq6Uf/oczu6yTrS74Oo6fsXbg4QVKG3bDTneiOecpbWc7NyO10LqjbBWiMMWTATTBjM2InjZ1579TdtzV09nQN36pq7WntkAnlf50D73Y7mO22VFdUnvj712Sd7Pnr/44rSqpJLN/Z9fqj8ZvWZk5c+ev+T3//2o907DzTVd0BaVChQDQ1MD/ZPDQ/O3G3qvnGt6tq16tLS+vLyxrKyhptljTfLGkF1f+t2S0Vl8+SElCJZBPOQtB8jfATFghb/WR1FCO+6rJOPFstaaOtBja83WWeF2kmBsthRscr4fI6+8Di6bo5YnIauxLlNpSwAPkiuM280V3Aj1p1dsLa0eu74ChzVgcWGRlhvRsF4/R9OnP2v/+Unx4+earnT0Xano/1u5/jARH1V4+2yqksXSj7e9ukbv3rz5PGz166UNje111Y1frL984rSmhtXb+3dffDD9z598433Pvvki+rKOzeuVV2+WFZX0zo+KhgamK6saLx8+VZpaX1ZWUNpaf2N0oYbpQ0gmpZV3CmruDM2KiIJBsE8lDUA+p6Ary/KUYTwbjHCDsC6ZRMwFewARyf4ioKjIqVBpDTMyfUStemJGkitK0JbxPfHX3g+unkpU2iIlRCshNC1KPRIMXIdLNfBMq1pk3mDT3P1gB/MEJ7bUa1l5Z4ZkAk1wcS5s5f/63/5yVtvvnunoXWod6ShuunK2ZIr56+e/cO5j7d9evjg0UsXSupr7pTfvF1zu2FidObA/qMVpTXlN6uPHDyx69Mv33lr25tvvLd39+FPd+zfvvXzA18cr6q809M12lDXfuNGbVlZw40btTdu1F67UXftRt31m/XXb9YDU8fHxMBRkvaDVh60+xs5uomL6wLjni0Gi91gsRdMLchqhB2Q2QaOQGYbcJQv0o3PysE4k0CmEyogoQJ6Pkc3quv/GkfXTRyfENRgXldQJYQCKQs8MTC78RzCzddkP42mz+EouKOIDsZ0JkRjsEAm1IJSR7/6w//93/7l3/7nzytKq6ZGZxpr7pw6erqytOrS2ctXLl2rrKiuKLtdev3WiWOnT504hyN0693uuuq7FaU1J46d3bv78I5te37/24/ef2fH/r1HP92x/8P3d365/+vy0rqGuvby8sZr16qvXq26dq366vXaAkDT6Sm5lQ6A9h3BPDjJgPrpWR3daLzze0fXNRWU80bYAfqhDBb7nARa5eicXC+Q6aQa84/u6NqMcJW+K23xk/GyQCEhLhJ0JfHYbD7h02m6SS77HDWTygxrLagewQuOIrj1i/2H//tP/ue//OT/OXr4xPQYb7hv9G5tc1drT3NDy92m1iOHjp0+ea785u2SSzdOnTinUxtNEFZXfbfsRtXlCze+3Hds984DH7736Vtvfnjk0KmTJy7t2/PVju17T3x94VZ5Q1lZQ0nJ7cuXb5WU3L5ytRpQcq0GOCqc0znsIRh1F/pHYdS9Sc30rI5aMPcWg9n5PUWarmrrQXUvkhnHeLKCo3Ny/VpHRf9fcefZJNd15+f5DPYLv7TLdtlr+/WWy67S2hvLKnNV2iRpZVMUJYqkSILIgQQIgACRBzODyTOdc/ftvjnnnFPHCQBBUmH3c/jFGVw2e2YggCLlqqdQPWfuvd2Y+9zf/5xzQ2N0G6VbOHlI1q/Y+Y3X+mlBD6fX73QUwvmvXtrCzzj6nHtdjtT3W3IU5cVpRzGaZ3hF1uyfvPbGf/wP/+Xf/7v/9Jd//r/y26V2rdMoN5cePHrt1Z/91V98939858+WFlbef/fMK9/9/qs/fn1lacM2wrOnPjj9/sUPL15/9cc//7vv/+N3/+pv/vt/+9O/+LO/fvvtU2/94tQrr/z9D/7+tfffv3ThwvXz56+9++7FEyc+OHHy8vunrpw4eeX9U1dOn71+7sLNNsS6/g7wUlJCzUhEOZDVUNajI5G0UNJCWY1m/pWUUFSDQ/+GohzM0UzAsCEvRKKUiHIkSCHLOwxnU4zBcBZJG5zgMpxLsw4vBi2Ir7SJGkQ0elQTpuswVYepBkI3USajjtINhK6jZAOhGwjZhA9DPxtmHcG02eBcwOHQeqlxzGxP8Vlfc7qmdwnh+fcRHObgbNmz15md089jm35+4Ezjcc9nzfonxzkNrinBeRFlebAdkhMZQX719Tf+9b/5t//iX/6rP/7j//ro0cry0sr5sxf+55/86R/90X9+5ZXvnT9/cWlp+d13Tv7oh//3b77/D6/95Ocry5vvnzj72k/eePMX77791olfvPHOD3/wkz/5zp9/5zt/+Xc/+D+vv/7Lf/jRq3/7tz9+9advvfXO6bfeOf3zN0++8dapN3955q13zr7z3qWTZy6fv3jzg8t3UFwWFF/SQk5yRdkXZIcXXUUPONHiJVtUXFnzZc2XVE+QLV4yBdnhJVuSPFnzVTWUVE9RAlnzRdHlJVsUXUF2ZNmXVE/TIlWPFSWYo5mQYUOGDVku4ASf5R2Wd1je5gRHlH1OcGU14sWA5T1Z6cOYWmsd7Wgb51oY28QPaGAMYLqOvwA0cGLG0edo+uKCPrva/whBj+eI268B045+9XN+ybSv0z8e6eh09j/nvBfIUYwTwOoYJ9CCzMnaidNnvvvX3/vfr3zvBz/8x/v371+7du3cuXM/+tGP3njjzXPnLszPL2xt5a5dvXn61PnTp85/+MHVh/PLH1y6evnD6/fuLty98/CTm/eufnTz1OkLp85eunLtk1t3H966+/Dm7Qd3HywtLm89Ws0tr+VX1gurG+W1zcr6VnUr3yiUO+VaDzyn1nAGihFabt/2BqaTOn7fDQZuMAiCIcAPUj9IPT8Jw5Hvj3x/FEU7cbwbhhPwPKkwnIThJIp2QHsc7ybJXpLsxfHuHM0ENONRtEsxNsWYNGuyvM0KJsMbnGgxnCVIHs1aBKWLcgTjcrWJVzv4QWcUOaCJMi2MzRzNBH2Oo2BO4BBUlluZptMGPD9TX+RhaTMWHnOr4LH3DE7X/WlHp8KVggiqS9IZ09Zmpk6l6ewU7PPPEcAsDx40jnACxgmEIHGyJqjGZP9xmPZ39x73B6Pf/vafJ5PdJ0+ejMfjx0+ejie7n33+q8+/+PX+48/S/nhn98nu3qf9wU6Sjnf3nj797Dd7+5/t7X/29Ok/PX36T4Px/nDyeLz76d6TL/ae/Hqy9/nO/hePn/52tPN0vPvZZO9XgJ39X+89+e3jp/88mHy28/g3w53Pk9H+zv4X+5/+Zvfxrx4//e3O/heTvac7u59Odp5Mdp5Mdh5Pdh7v7H66u/s5+Iry3d3P9/a+mEyejkZPJpOng8H+cPh4NHoyHn86Hn86Gj0ZDh+DxjlO8Fne+zI+RYuXbEG2GF7jRIPmdEHyKMbASU2QfJRUy3W00sYOOwpe1FG6jtI1hMpoIDQo7i8IhLPTjh6p6UuNsr+yFjF7/+r0JbDHRfuRverM0Zn26Snh6WsVpn39ak/gy7yf7rkeWxkOOcpKqqAakqaLqmY7Hi9Itu3KsmqapiRJqmYgBMlyAk4zoqQRDK/pNi9rKEZTrEQzYruLtTsIK6ie13eDgeVGuuXLms2JGsUqGCmgBI+RAsnIFKvQnE5zOsVqJKNSrMbwhhOMosGun4wtPw2TSTrcHYyf7D7+fPfx5zv7n012nozGe8PR7mi8N9l5vLP7ZP/x56Px/mCwf+DreH8w2B+O9uJ4kqTjfn9vMNwdDPbT/iSKxkHYD8PRnGYkupkadvLsi+0D3fI109MtX7d8WXMtN1GNUJA80x5wkluq9cotdMbRjBlBqzAJ+gOHObwuoI0zbZxpYfQ0bZzpEGwGRHIvzvSKHYJt49w0IP5bGDvdpf4q1JF0CDb7qFljCyenaRNUBkQxgC7Ndmm2x3AH0MI0MCPCjIiw0kx7BsIJoNwj3EHHANR6GKe6KIFiRKPZhhGs3em221C+UNouVu4vLi+tbtx9uLSysb2wsp4r1la3CguP1jfy5fnF9Usf3bx1d7HZxRleQykBfP1QD2fzldbqVmkjX90s1Na2y8Vqt1TrletwqdYr1ZBiFS7X0UoDoXhVtTzV8njFkDVbtz0v7I92Hw8me+loJ06GQRj7QRRGSZIO0v54svM4ToZhNBgMd0bj/TgZBmEftMTJsD/YGQx3BsPdJB2F0cDzYz9I56J0J+7vxv3dZLAT9ydRfxQkAz9O/Dhxgthw/DAZeeHQsBM/msh6UKx2S02kBhEzjoI9Cuo7SFPAcfv+OEczLw/2+jNHM2ac+51Mr9vGmUzKGTVn2qegjyQ7kKbFbWF0EyOO1LRD0oBM0wNTaaFL8RmZpseRCQqzB+e0SE6kBbndQ9s9tNtDWm2oA/WarU6j0SqVqx0Yy5Vr26XqymZueWN7eWM7X2lsFirruVK+0ph/tHH15r217TItaLxiISRP8TIjqjDB5Sut9VylUG2XG91cuZkvdwoVCJAvdwuVXqmGVBoII+qmF1l+rJiOZrmWF8aD8ZPPfz3c2e+PJ0k6CKMkjJI4TfqD0XA0GU92gzB2vSjtD4ej3ShOPT8OoySM+nGTibnJAAAWlUlEQVTST/vjwXA8GO6k/WEUD4IwDaP+3GTv6XjvyXBnfzDZ6Y8n6WiYDAfJcOBFoeG4sm74cd+LUsMOHL/PSXahAhUbMHB0WrXjHD3OxRfMrSxEZ1Q7TsEj+apes6n57Nh4OUfBx2sgJCA7nI5zNNN0Ok27NJvZCZHci2jaY8UeK8Is32M4YDk4EdDDqS5GdlECIWicoDCcRDECJakuRta6cKnVKbU6q/nSdrWxXW1slKorueKjrfyNe4s37y/la502StcgrAZhCMm3ekSx1tks1LaK9XylVahAuVK7WO0Wq91iFS5Uepmj1SZK8bJme5rtCZom64ZuO14Uj/f2hzu7/fEoHfTjNInTJB0kw/FovDMZTcZe4NuOl/TT4WgSxpHrBUEUen7oh0EUp0k/TfvDpJ9GcRpGSRSnc3ufPp3sPx5MdpLhIOqn8TBJRmk67juhqxg6J4lOELphpNue6YQUr+bLncOOZhU8K/EZx9X64/P1y70+7ehxgfpSgjbR2fc97hCagnwRso/awugjBT1W02eCTjs6E67TQDQP0XyXZsFGgKOkqJCc2EHwersLITiKEShG9GC0i2IwQfcoBiIoWlabCI6yQhPBy+3uZrm2sL718d2FxfV8G6VbCFXtoASv4oxUbnTXc5V8pVVtwaU6lCu18+UOcLRQ6eVK0HaxkytBxSpcrsO8YuiOr9q2oGmqaVme70VxfzwJ08SPIz8MXN9zfccPvSgJk348HI9s1zEsM06TwWjoh4HtOn4YOJ7rBX4QhXGaJP006adxmkRJnKSDud0nj3c/3RvtjZNRGg3idJwMdvr9SRr2A14RNFu3fU/WDS9KNctd3siV6lCljdUgotrBq12iDlPVLlFqoxUIr0B4uYuXu3ilR2RUu7PUemStRx625DibZ5wG8Xa4Q3lcEZ9Z8QWknOl7sNMftdYjq12iAuHgf3EIfFrcOkxk1Hp4rYfXYWL68GthNEQK03QI/vm0SRai+S4j9FgRYSWElXBeIkWlh9NdjOqiBITgEIJ3UQJBSRinEJLt4FSPYlFWANMgEM6Wmr3VXOXu4tr8ylaljXQJAezQLiGUW3ChDm2Vm5ulxnalU6j3ABvF9lYZ2ii2tyvdYh3bLEJbpW4TpgXVVCxLsSxR1yVNtzw/TJN40Ld9zwn8IPLDOAjjIIh813cczw4i37B0w9KjJByM+mEc2K5lOSZo1E3NsHTLMV3fCSIfdBPmJo93dp5Mxvuj/iRNx8lgJx3u9vuTxItdxZQ1W9cdQ9YNw3FhnProxu2tYr1Q71XaWLmFljtYrUfWYarWIzNHSxBWgrBiBwVMqzk9WprZu5mLYDszq9RhqtzByh0M/Haa6Y1MHwnHuX54C9PveOQRNTPIe/6xNO3itI4zZSEb+R3nIszIPVoCdCkR0KGEDsWBKIXog+4BmAroYlQXo3oYmYFiFIxTMMG0UAJMg4BphyZMbpWbC2u5e0vrG8U6OM8HCmMH4wp1KFdt56rtfK1TbMClJlKo93JVaHmrtpZvruWb25VuuUnkq0ixjvVIWdQs1bZV2xZ1XdYNy/ODJI76qeW5luc6nu36jhe4fugBX73A1U3NtI04jQajPlBWNzXNUFVdAeimZjmm49le4PphMJcFZzwM42HY34kGu3E6CS3f0B1NNhTZUHTb4SR5dTP39onTW8V6uYU2elQNIootBCRotUuAmDk89wSULUEYyNesDzDdPhu9MFmFyRpCHfRoMaaBMTPTrjMcfl+wKbDx7L2KHXT6jV6EQhsptJFiB802Mv2xjwIFVHoYoArjVRjPWqowXkOIOkoCWgR3JB1K6FBCm+TbJJ81NnG2y0gdRoJovk2yTZxu4nSHYLsUD2boejgNEwxC0BkwwYCZsi7JtFCijZH1Lr5eqN1bWn+4ut3oUaRgtFG20aO6hNCE6e1KJ1eF8rUuiM9cFVovtFa264vr5ZXt+up2c6vULTXwXAUu1jGYUhTT1WxPtW3JMEB/1AlCL4oNx9YsUzcN3TRALoJa73g2SMo4jfrD1A893dQUTZYUMUNWJWCqYemWY89ZvumEth2YhquZvuqndjT0oqFnuJpsiIzIKqbqhlEXxS5fu/HTX/xycXV7q9yuQUQNIgpNOFfvFppwqY3mG718o5dr9vIteBqwj8Fu/p2UIOy41ac9K3bQrP2wi2CBTJqZVY576606dCTT/oFNFdrI9AebodiBix240O7lW91cE9pudLYbna16O9/q5lvdQrtX7MAlCClBCFA51zzij5ZvwduNLvhVBmhfKTdXK63NWmur3s41oXIXbaIURHJgChkhWZTicJrDKBajWJRkUIrrkgyYf4UIGqa5FkJtFOsPljfX8lWc0wTdB6czEFout9BCvZevdXNVaKvc3ig2V7arSxuVh6vF1Vxjs9TZLEL5KpI5itCq7gS64yumI+q6qGqybmiWrduOYpiyrimaqmiqZuiWY3qBCyq7YemmbfihF8aB49maocqqJMqCKAuCxAsSL8qCpIiKJqu6ohn6nKByosbzCsuIFK/Suiu7semntuUbnMwgJKpamhtGW4XiW+++/9obb1+9eW9hrVBqIvUumVXbBkKDWnzYoenX4K88s1fAj9uNLmBmC9lim7UOYKPa3qi21ystwHKh9ihfBSzlKhmL2+XF7fLCVunhZvHhZnF+ozC/UXiwnr/9aONIrt1fOpIPPrk/zaWb9y7euHvh4zvHcf767fPXb5+7duvs1U/OXv3kzEc3z3x08/SVGycuXQW8/8G1kx9eP3X541OXPz595cb7H1wDnPzwOiD7FVj33LVb56/fvvDxnYs37l68cfej+0vX5pc/ebRxf6OwUqzmmlADIbsUD/qa4FuGwZOdcZrDaQ6lOIRkcUbCaBGlBJJTYILbLjXWtqq1Fga+74BgdILREULOVXvblc5GubVaqC9tlR+ulx6ulxY2youblbVCe6vS26r0cjWk1CJyNaTSoSjRNr1Esz1JtwTVEBQdIKoaQFY0RVNVXdMM3bBM07ZM21J1DYhrWKaqa7KqSIosylKGpMiyqsiqAhSf4xWWV1hWoimeYGVStUU71N3YdCOblRiERFXTkHXj/sKjn/787Z+//d4vT1y4dO3OvaXNxfXiw/XCg9Xcg9Xc/ZXt+yvb95a37ixv3lpa/2Rx7cbDlY/nl68/ePTR3YUrdx5eufPw8u35y7fnP7z1AHDp5j0A+NNngP0EdtuJS1ffu/gR4N0LVzLeOX85442T5984ef4Xpy7M8LMTZwGvv3fm9ffO/PTd04Cs/QV58/TFt85cevvsB7889+E75y9nnyFza4Zpw85e/eTctVtAsusPHn08v/zx/PKNhys3F1Y/WVz7ZHHt1tL6g/U8OH7mNwoPN4sLWyXAUq7yKF9dLtRWivXVUmO90gIH52qltVZtb9Sh7RZcgpAaQnQIFma+8k0j4MnOBMMTDI+Q7LSjtKAhJL9VrJfrMEbJguJykk3zFkap9Ta5XewsbZQWN0sLG8WH64WH66XFzcpKvrFR7qzkmuvFzlqhvV7sbFV6m+VuuU1SsmO4sWw4gmoIqiE+01RUDUFRRVUDHUz1WaAC7SRFFiRRkERgZPZaUmRgJ1gYyK1o6pxmK4ar6Y6qmJLmSHao+6ntJZYTWqImMCIr6xpOM3fnF987ee7kuUs/e/Pk++c/unzj/kefzF/6+O75q7fOXL5x6oPr752/8u65y++cv/zLcx++ffaDt85ceuvMpTdPX5z2adozsMuzxvcufgRi5vy1uxkXrt/LuHxr4TBXbi/efLgO+GRh49biJuD20taDteKRrBTrR3Jcrd+sdrdqve06nG+ihRZWaGHFNl5s49UefSRNnG0RXJvkO5TQZaQeK8OcgvBqhxIgWoRoETSCdphTYFYDIJyO8gbKG5hgToOLFiHZhGSTskPKDqW7lO6SmoMrFibqqKDhgkqIGiloBK+CK/OnTcUpkaAlilUIWsIpkRV0lOA3c9UWREqqJ8gOTskUY7QhZnO7uV3srOXrG+VWvtErd7AKRNZ6dANh27hQ6VBViC40sK1Kb6MEreSauRqGsoZqBbxisJImapaiO7JmK4atWa6sW7JuqZqRAXwFIoLgnH6dxSdQE0SvZuiabs55sRP2/bDv+4kbpF40CKJBEKS+6VmqpSmGKWk6hODzj9aufHzrysd3rt9ZvL+yvZavr5eaK/nacq66tFVe2Cgu56rLuepyobZaaqyVm+C4z0rzZq0DOligJ5f1PsFoqYZQYFTUIrgazNRgpo6wDZRr4UKbEDuklAFRMkTJXVoB9Bh1urHHqGBnI5wOGqcXPliFlV+KGW/AjwinZ27NwikIrwJQQcNEHZC9xiWDkE1SsSjZotQp+RSXVj1a9RjNnwG0H6A5lO4yusvoLqXalGzRikkrJi0ZlKhT/MENJDgjAEdpTqU5lRV0kpEJWuJEAyX4je0KBDOmkwqy00M5gtIqNXRhKZ8vd5sw3aMlVnFkJ9bcgeykspVIdiKZMW+EGGM0ELZYx1bzre1yD6YUSXdZSWVEVdIt3fJ12zMc3/Yj1XRU09F0Ewiq6aZuWLphyaqS+QdGVJqhy6oy4+iBoIauG9acl3p+3w9S30+CIPK9wHU813Jsw7R5WfHCPifrG/nqg+XNOwurd5Y2lnPVEoRBpACiAuyJLBsO02WkIwGhcpjjtnOQOlMGAH7n8jPMrD7t0zdCJiUuGQBCNEjJpBV7Bka2acWmNSeDeSYfo7vT7TPLsIbH6R6ne6xmc6ot6K5oeJysM6J68PRxXqJ5ieJEkhVAy8GdT4JG8WoHoXLlJsGoFKezooUQYqECFatdnNZkPdLthJFtnFYQWkZJqYNxXZTrEgJGyZIZqmbCax7FmfkavJFrQgirmK5imKJq8LIiKLqk6app6bajmtaRKIZ5JKKqSZouabqsG6AFLK9Z9pwd2U7suJHnRp4X+I7nWrZrWo5huoKiu8GAFrSV7er9R1u3F9fvLW9t1aE6SvdYGSiVOXqcEy/rynEcXmvGiRm+tlvfCJmguGSQkjkDJX4Jox7t6HGwmgsE5XSPU790lFcMoCktKKyosKLCCDL97HsdcEZAKQ50SZtdPF9p0bwB40IP47so1+7ROK3IeqQYMcGoXZRrQmSrS7V7dBMimxDZ7tGlWq8DM12UI1lNs2JWtNo9GkJpzXJBsQWDJCDZc1w8jkzQGUcVw5zTXE1zNcM1Dde0HNu0LcO0dcMyTFfSTNtLMVpc2ijdXdy4vbg+v5av9AiIFlFBAxkJdHmOo8937jDHOfSymTdtyTTfrIvPt/OgrEvmTI4y8hSqk8Fq7otwpKOCaoJ+IStpnKTyssZJKisqIEcJVkQpDia4Lsa0ekS1BXOS3UW5DszgtMLLjm4nmpXSvAXjAoSwEML2MB4hRBgXYFxASakJkR2YqbWwJkQyginrASOYJKeoppMZCQx7PsflayYocHQ6d+dkS5YtWbU01dIMyzQsEzhqWp5qOroVtmFyfiV3Z2H91sLa4mapRXDAJJhTeqycFdyXzcWXrbkzv8qcOG47xzn6h4SQzczRr7iofMk35aioWZmjvHwAJ6ngGaWMqBKsiFICQvIwwcEEJ2k+zRucZGtWrFmxakaMYDchutbC6m280SHaPboDM+0e3epSrS7Vw3iCURFCbEIkhLA0b0iar1qBajpgQtRwXMNxsyp/XF4e5+h0gk4vpln2nOZquqeDHLVdx/Fcx/VdL3DcULc9SXWKtc69pc27ixu3FtYebVfaJD+dmodD7gUB++8wL1WUv4Y3L5h/34idAEq2KNl6Tq3/pnKUk/XDjoIWoCnFqwQrk5zCiLpuJ4aTetHECUasCOKTr7fJdo/uohxCiCBEQU+gCZGVBgIhLMGoOK1glMzLjun2TS9RTUe3HdP1bD+w/cDyfNP1dNvRLPtIXqSfOt2uWfacm7hu4nqx78V+GEdREsdJP0kHfpCYbkBz6upW6c7C+v1HW7cW1pZz1TbJg5ENEPR3dv5eNudeVs2Xde645Y87Zn5PDsbvX4WWvuQ4R78U8au8SK3nZQ3MU/KyBsTlZJ1XDE42aUGjBY2TTdPtW97ADceyHrR7dLWJQgiPELKk+bqdWN7AcFLNimU9EBSXEcwexgN9QemXNN+LJnbQ1yzXcFzbD8D1cbYfmK4HAvVIvoa7c8EgCAZBkIZBenBZVNof9gejOBnafoQS/PyjjdsP1+ZXcsBRMM/XY+Wsz/c1Bihfe+xyOKtetj/6Lbl4nKCZoy9b61/WUVGzQJTyiiGqhqSZkmaKqiFqFmiUDUfSXaApI+qKEXKSzYoWTiuNDtGESIxSCUaX9cDyBiBfTbdvOKlqRqLqqWaEklIP41FS6qIcI5i2P3SjoekGlucDR4GgoNwf5+LXdNTv+34S+EkQxlGcgmv6h2l/bPtRD2XuPly5/XBtYa0Aaj2YOYI5BZcMUrEI2Zye/Pu2a+hh1YAHh3m+N98exzn6srX+ZR2VdBtoKqimrFuKYR/MolueqFmSbmu2r9mhoNogSkE0grFRD+NxWiFZo4eJsh7Y/jBIdoGmTjCyvIFmxYLighKvWTHJaiSr6XZiB33LC0GVB4Jqli3rBpiBOpKXNVWz7LlwGHqpZweOHTh+GGTX9Kf9sagapWpncXV7Ya3wYHn73vLWo+1KduJkxr8sBWeq6u/Tk5vm287CackO3FJtWnMo1X4pjpjRVB1GdY4b13OqOx2rnOpyqstrXgZoyQAqA0d5zRF0VzJ92QoE1SRYESYYjObBzCjJCjR/MJ+PM+A0qfwljEpxOkbJCCGCaOxhIi97QE3bHzrByA3HTjDS7UTWA1H1RNWTNF/SfEFxedlRzcgJB26YmK7nhlGQpIbjqqZlul5W7oF5oMMKBlWm64GZJs2ysyVB40zfNBuKzSWTJBgEXuy7kRfGUdJPB8PxcDTpDya8rOVLzYWVrcX14vxK7v7K9ks5CjT9xh39tnPxD+zotKC/j6MoxbV6WKUJVZpQrQWV661itVGqNautbq3da0BIG8Z7OIuQPEaLOCMxgslJNslqGCXjtALjAkoqohoARy1vADS1/aFmxZLmi6onKK6k+YoRynog64HhpEE6ccPEcFzgKCj0oGPqBCEYP4HhlBOEoDNg+wHoDJiul7U4QQh0BMtn4oItzA32BskkCfuRnwRREqeD/nA0GY13BsMdVlQ2c9X5RxuPNsuL68UHq7lH25VsOH/Y0W+kuD/f0T9A1f7/5Wj2+us5SgsKQrJtGG/1sFYXqbe71Wan0mhXW916B271sC5GYbRICxorGaxk8LIjKC7JagghYpQM4wJGqaIaqGYk64Gk+aoZgXFVlqPAUdWMVDPSrNgJRslo34tSw3GdIPTjBOgVpv14MAyS1I8TL4q9KPbjJEhSgBfFludnq4Bl/DgBpoLXoBGI7gTh3PjJuL/bj4cJGDOlgz7I0eFol+LE1Y3ig6X15a3Ko83y/Fp+OVcFITpjZNYlzUz6tsco32qHctrR35/pHufhMVMmaKbsTJS+oKO6E8iGA842gdl7cJ4JVHlwt6eg2qoVKKYvag5wFKcVCGG7KNdFORiXWNEhWQ2nFZxWWNECmoJhE4hS4KhmxbqduOE4c9T2Ay+KQTSmo/Fody8eDKP+IEjSMO1H/UE8GAKCJAVTVF4Uh2kfiBumfTeM/DgBfifDEVgSKP7/AErPhzKPCAI5AAAAAElFTkSuQmCC" 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" /></a><span style="font-size: small;"></span><span style="font-size: small;"><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Cara
termudah</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">untuk
memblokir</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">situs
Web dalam</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Mozilla
Firefox adalah</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">dengan
bebas menggunakan</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">pihak
ketiga</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> yaitu </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">add-on</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
yang disebut </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">BlockSite</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">.
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Ekstensi</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">blockSite dengan memblokir situs-situs</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">untuk</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">ditambahkan ke</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
"blacklist" </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">tetapi juga</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">dapat diatur</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">untuk menonaktifkan</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">link ke</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">situs yang diblokir</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">dengan menunjukkan</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">teks</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
yang </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">tidak fungsional</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">bukan</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">hyperlink</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">.
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">BlockSite</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">juga memiliki</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
fitur</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> "</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">proteksi
password" </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">yang membantu</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">mencegah perubahan</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">yang tidak diinginkan ke</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">blockSite</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">oleh orang lain</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">.</span></span></span></div>
<span style="font-size: small;"><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"></span></span></span><br />
<a name='more'></a><span style="font-size: small;"><b><span class="hps">Instruksi</span></b><br />
<span class="hps"> </span></span><br />
<div style="text-align: justify;">
<span style="font-size: small;"><span class="hps">1</span><span class="longtext">. </span><span class="hps">Buka
Firefox</span><span class="longtext">, </span><span class="hps">klik "Tools</span><span class="longtext">" lalu "Add</span><span class="atn">-</span><span class="longtext">ons." </span><span class="hps">Klik "Get</span><span class="longtext"> </span><span class="hps">Add-ons"</span><span class="longtext"> </span><span class="hps">dan kemudian "</span><span class="longtext">Browse All </span><span class="hps">Add-ons.</span><span class="longtext">" </span><span class="hps">Ketik</span><span class="longtext"> </span><span class="hps">BlockSite</span><span class="longtext"> </span><span class="hps">pada
kotak pencarian</span><span class="longtext"> </span><span class="hps">setelah</span><span class="hps"> </span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">situs add-ons</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Mozilla Firefox</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">terbuka dan</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">tekan "Enter</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">."</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> </span></span></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">2</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">.
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Klik</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">"</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Add
to Firefox" tombol di samping </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">entri
untuk</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">BlockSite</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">.
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Biarkan</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">add-on</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">untuk memuat</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">(biasanya</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">kurang dari</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">5</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">detik</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">),
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">kemudian klik</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
tombol</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> "</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Install
Now". </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Restart</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Firefox ketika</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">diminta</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">.</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> </span></span></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">3</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">.
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Pergi ke</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">"Tools" lalu</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">"</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Add-ons,"
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">kemudian klik</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">tombol </span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">“</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Preferences</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">"
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">BlockSite</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">setelah</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Firefox restart</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">.
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Pastikan </span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">tombol
radio </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">"</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Blacklist"
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">dicentang</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">,
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">serta</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">"</span></span> <span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Enable
BlockSite," </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">"</span></span> <span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Enable
warning messages " </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">dan "</span></span>
<span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Enable link removal.</span></span></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">4</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">.
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Centang "</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Enable
authentication” </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">kemudian masukkan
password</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">jika
ingin</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">menjaga
pengguna</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">lain
dari</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">situs
yang diblokir</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> untuk </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">menghapusnya
atau mengubah</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">pengaturan
di</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">BlockSite</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">tanpa izin</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">.</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"> </span></span></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">5</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">.
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Klik</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">tombol "Add"</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">,
masukkan </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">URL dari</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">situs web</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">yang ingin diblok,</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">lalu klik</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">"</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">OK."
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Ulangi</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">untuk menambahkan</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">situs lain</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">,
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">atau klik</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">tombol "Clear"</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">untuk menghapus</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">daftar.</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Setelah daftar</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">situs yang diblokir</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">selesai</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">,
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">klik "OK</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">"
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">dan restart</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Firefox</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">.</span></span></span></div>
</div>
<div class="MsoNormal" style="line-height: 150%; text-align: justify;">
<br /></div>
<div class="MsoNormal" style="line-height: 150%; text-align: justify;">
<span style="font-size: small;"><b><span class="hps"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">Petunjuk</span></span></b></span><br /><span style="font-size: small;"><span style="font-family: "Times New Roman","serif"; line-height: 150%;">
<span class="hps"> </span></span></span><br />
<div style="text-align: justify;">
<span style="font-size: small;"><span style="font-family: "Times New Roman","serif"; line-height: 150%;"><span class="hps">Untuk</span><span class="longtext"> </span><span class="hps">mengimpor
daftar</span><span class="longtext"> </span><span class="hps">dipersiapkan
sebelumnya</span><span class="longtext"> </span><span class="hps">atau diekspor</span><span class="longtext"> </span><span class="hps">dari</span><span class="longtext"> </span><span class="hps">situs yang diblokir</span><span class="longtext">, </span><span class="hps">klik</span><span class="longtext"> </span><span class="hps">"</span><span class="longtext">Impor" tombol </span><span class="hps">di jendela</span><span class="longtext"> </span><span class="hps">preferences</span><span class="longtext">,
</span><span class="hps">browse ke</span><span class="longtext"> </span><span class="hps">file yang</span><span class="longtext"> </span><span class="hps">ingin diimpor</span><span class="longtext"> </span><span class="hps">dan klik "OK</span><span class="longtext">." </span><span class="hps">File harus</span><span class="longtext"> </span><span class="hps">memiliki "</span><span class="atn">[</span><span class="longtext">BlockSite]" yang tercantum </span><span class="hps">di bagian
atas</span><span class="longtext"> </span><span class="hps">halaman</span><span class="longtext"> </span><span class="hps">diikuti dengan</span><span class="longtext"> </span><span class="hps">URL dari</span><span class="longtext"> </span><span class="hps">situs yang ingin</span><span class="longtext"> </span><span class="hps">untuk
diblokir</span><span class="longtext">.</span></span></span></div>
</div>
<span style="font-size: small;">
</span></div>
lahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.com0tag:blogger.com,1999:blog-7316700808030502240.post-65222011582726935812011-09-08T05:41:00.000-07:002011-09-08T07:35:39.842-07:00Instruksi dan Catatan Tentang Proxy<div dir="ltr" style="text-align: left;" trbidi="on">
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pDBd55wLTTV0VeeM65qmh7RQYTA/58bl89lnjp86eeTUV1+tqFDJDvCQeVkAK4Ad0QXgAnARdBNwlQrTJlOPJCVR9AK4AZwAdgDHbQmHhcVVr+Z7os3wH3769dKVYt0QiiqKgobGhM64pmuca6WUqt1lOpluKjPDo8zQBGPC4JpmBAJqbm7R9ZzAubM3ly7d+eyzb9av10SS6gE0KpWMjYKHoAfBg+BH8FJMCiMpMvgAnACJAHEAUQD1ZalhZKS1fYdnli3fnn8raA6ZrjGml9xa11XODTUUDARCoaCel5efee7ikaMnz5699tOPqxPjWwLUAqhfOihWABdANEAtm63NkaMXhRAhjRUrCuO6YYTuBIjvDRkpAV0JGIX5wQvnrpw9fe3sqRtzZm+KbtgSoE7pKEcBNASoRaARwMNpSd02rDt4Masofd3+1KTuAHUBYgFsAHYAK0ACQDxAAyCPfDxtthBCZ0JnXFE1w9BLgxOlTHe7M6WUyg1uaGqguCjnWl7muStnTl/fuuVU104vANQFqA0QRTEWIAbBChAHUBvggTcnTDMMg/PSwMK9Ma3/iE/FfaRUk08VRcnLyzt9+vSu3XvWpW9esfaXtybPrFrVAdCIgAPBhegm4EBIJBCHEEsgFiGBgA3ABeAF8AJ4AJwATgBHqWbbSsXtKG0uBDcB9789Irhk4gJ4pHOHkXm5ihCCcZ1xnTEWCKrXc29lZ+dmZl7f+svR18fPsCa0QYgiaAWIJ2i3SL4w6iPoltAno5+Ch4KbEpdMPBJ1S+ii4ARwEnCHEX854kVIAGhIsFGN6t5BT71+6OA501xlXCiqrmlmNIrdTrvoqpp/68alS1kZGUe2b9+5evWmGZ/NjYt7FOBhLFk5EgAdgOYkdyLxEuIHcAN4EX2E+AjxAroBHBJ6LMQngQsg0TSfKcRa5JiKFeOaNe0xY/q8c5m5ZuhN17luiH9Nln/i039NqYyx23x6+vTpXbt2bdq8bc6i1a3aPQsQK1t8hLoArZZyDiKZa4AD0EMljyR7Ed0AdoBEQu1h4cmEupG4kNgAzXUijso2gEYA9ctFJHqSeg4dMWXP3rOaagghNK00naUbuqYZmq4Uh25ev3nhzPnDew/+sn7jquVrJ078okJFO0BUufJORCuhLgAXok+SUghJAvABuACcgE5EF6KXED8lyZKUTEkqYhKAH9FL0FO6bkUDxNSq3bJl6+HzF/yqqkwIoejC4IILoaq380J/QamcG4auaKqqqVowGLqRdys7O/d8Zu6vvx6bMOELm7UdpY0AGlmoI7ycD8BG0I3oAXADuAj4w6QmYSQtTG4cLjeWiJ+Al6JXAi9FuyQllrNYKWkEULNSpfhevZ7fv/e4pjEhhBLSdM1MCepC6IYWCimBwsJb589nZmQc27T519Wrt6xft2f4sMmVKzkBogjaET0IPkpSEZ0A8YQ0GDLkrZDCuBCKZqYM7w6y3+EyprPCW4GC/OLz567s2fXb7h0nfvx2fevHhgHEELRHyGkS8UrUa6FeidgBoqpVcs6ctmjPztMrl29dvmzrq+M+rVAuASCegBvBj+BH8CC4Ae0ADzdu3PPY8fNCCEVlBuOGoRpMuYtP78mSCSaYLlRFKyq4deXKpYzfjv/664Edv556bdyXkZX8AHFhkhfBJhMXgoOCJ4J4Aeo2bdL3zMmLQgglxAyjNKz7X+A+U2owGLx8+fL+/ftXrV71zQ/ffzjjs2eHj61QKRYgmhCnRJII9SPaERMQYwBjEGMQ4xFtgC4AL6AX0APoBHQCOgAdgLbSZi/9xgHoQHT+0wZ2gFqd24/OzQkJIXRDVfVQYVHR5Su5WRdzTp68+PPizX16vVClsh2gIUAcopWgwyL7JOpBsAMkIjok6iHoAEgAiEOMRxpPSTxBO4UkAskEksIwtbzUJAw9ALEA9cOkqMYpXef8tCZYrAshbt0q1jTDVEDBSiZbKFick3P5zNlTv/66df78RdOmzRrz0rsNGjQFqE+JDcAGxIGSE6nbJFakbir5AT1APEi8hHpKm8lQLgIemfjC5SSL5AWwIsaWsyQC1AoPj2nT7pmFi7YGFWYwoer/bizFn9NWfwFzuPPy8jIzM3fu3LlkyZJZ33w38b2Pkpt1BYxBYkWSQEg80ESU3Eh9gD5CvJLFK5fzENmF1AXoIsQjh6UQ6qNyEpG8gG4gbkAXSh6kLihxfuMA4t3uLh9/NK8gPyiEUDWuM845Mwyd6UZxYfGli1cP7z+ydsWa77/65pOPZgwYOLZceBxgQ0s5G2A8oB3RjcQNxAPoAXAjOoHYkdqQ2gFtAHZAN6AH0A/EA+AFdCM6gDgt5ZLLRaQC2k0rOzauzaefzs+7GeRm3QIXiqKYmfS/plSmq4oSCoYCxcHrOTfO/H7x6JHMZUu39+37coUKCQD1y4V5I8qlSsSH4EZ0SdRLiRvRheAi4KbEh+gsWQDACmBD4iHglKizfEQyQiKlCTJNBKhHSD2ns80Xny8JFBtCCCVklBSfME3XijW98MbNK8dPHN6+c9uixYs/+mjGR1O/HD/+I7erIyWNAOIIOgFciEkAbol4ABpWr540d94vJcEVLpgwbleYlBRRlFgGWt713MxzF/ftPbJqxZbvvl7eu/vLFSNcAFaKPoIpCH6KyRImUXASrN+l/ZAN6/asWLbh448//+STL9+ePN3jbAcQhWDSugfRg+AEtBESQ2nDCW/MCoaEwcwCDL000P+nXBkrqT0oLCq8lpOdcexI+vpNc+es+PC9ObbELgAJMiaHSY0R/BImUfAR8CAkVKvg/frzlaY+m+v0f4/7RqmMMV3Xi4qKLly4sG3rtrnz5r770fsvvPpqh+5Pl68YCyQeiRtJEqKfEC+VHFROpHIikaxEshPqItRLaRKRkojkJ9RDqLukSU4iOYjkJBY3kcxv3IS6qeSh9I+NmH9IJX8T6pEkn0zdALU7dxiVkxMUQmiGFlCCV6/nnTh5/tDhM19/vbhpk24ybQDQUAaXBZMkYpKU0zSskDgRbZQ6CHUA2pAkUtlKZSuSOII2CVLDoIUMTQkkI/go+GTwhhM3xRiAB+vXS5r52XxTxc30KtNVYeiCM86M4uKCS5cv/PbboZ9//vnjj2eMHz9l0KBXH3mkMUB9SpyIHiQepKYd6gSwI5oWuqfUYzU/OgFdAG4AN4AHwEvAT0tsWBeCnaAVIAagVu3ajT+ZtrSwWBOiJMR3G/yuTKoQ9678f0upZpDn+PHj69evmzVr1puT3x40YnScvTlAA8AE2eK0hHtRshPJg8QL4EK0A8QDxgEmINqIZBqMpj/rAfAS4ic0GcAH6AZ0AboA3UA8SFwADStWsD0/6r3s7AIhhKYbnDPOOdONgvyCc2cv7Ni6Y+4Pc99/Z8rYMa926DgkLMIK0AAwBiABiUuypFGaDOAC9CL1EdlDZCdSG5IEJC6kPqQ+IF5AD4AT0IHERWUvoW6kLiK5qcVLZdNorVOlSuKYlz+6ma8IITTNrPr6W0pVlcLCous5N7Iu5Bw6eGb+vPTU1O6RlRwAjQDiKXoJJAEkIfgRPYgORDuWGA0uRAeii1IvogeJE4mTSj4kLgAbghPBAWCTiStMcgI0Aqj10APuaR/PUxRdmNltQzP0kGEUB0J5uTcunjh5eO36lV9/O2vS2++Mfm7siy+92anT4MqVExAaSsRGwEmpjxC/hH5KXACN0tIGnDqdJ4RQmVmmpJaGOEwHXHAuFCVw5fLFAwcOrF+3+dtvFg0fOrFR/UcBoi0kubzlUQtpYcGmFJJkmgwQ53V1XrZk45bNO2bP/vG9D94b98q4kSNf7NljSMUKCRTjZeq2SF6JuCXqorIzLMwN0Mjp7LxnzykhhGEwxrS/oNTS+gBmcFVRbty8fi7z5K87f5k7b8HHH33bts1Qi2wFcIbJTRGSCKRQTKLgCSc+xIZdOj5/7XJACGHojDP2f+Hm/xn3M5aq63p+fv7Zs2fT09M/mzlzzCuvPDVsdErTThGVEgESEf0IKYgpAF4kLkIdxDQQ0AHgBnBIspdIHip7EO2A1lLL1AaQiMRKwzxI7IA2IE5AJxI34h8bgAPQRdAN4DJjjojOMMkNUKtduyG5N0JMiIJg8OKVa78dP7Nzd8bMzxempnVFrA3QAMEG4JYxhRIfEjeAnRAbpS4quc1+IrEjcRBqJ8ROqJ1Kdpl6KCRL2JiSNIrJptsiY5KEboA4SYoGqF2rpufLWStMw5AzrgWLhaEJQ1eVYFFh/oWLZ3fv2T5nzpyJE98eOnRMhw7PPlQjhYAVwWFyDZIUANMPTaJScin1mIERNxIvogfQSaiX0mREv2npU5Iiy2mynGaeTIhNsjgB6lWO9E6bsaiwMMQMwQwuhNB1xjk3I253BvIfUKqZijSdkkOHDi1btuyDDz4Y/eJzXfr2rR/rB2wEmAhwewRdJZ6s5AaMARoNchxKdsQkxFTAZMQkJH5CfIT6CfEB8SL1IvUh8SL1IfVT6rPIHgKxshQ1fPhbubn5QgjNMMsq9Bt5N08eP70xfdOsL78aP27coIFD/EldpXJ2gHgiuQA9SJIBUgEaI6YiSSXED2AH6iSynco2JA5AD6Drtm+E1EUkF1I7YAJAPKKVyi7J4kFqp1K8JDWKCI/57rt1msaFEIZulroYd2yo0lw/Z7qhq8XFRReyLh05curggdM//bguLa0HxYYE4mTJSYmHQBJCCkAqYjKlPkq8lHoIcSM6CXHKFi+V3JQ6JckjSR5K3YS4CfEQ4kP0msFHBCcBJwErgTiEhlWr2L/4fImmmkU4gnODc1VRC24VXjtz9vimzeu/m/3NW29PHjpsRJ++T3fsPCDB2twSVh+gAUEzkusiJAnRTYjNEpbw+uszFUVnQiiGWWOmGDzEmMq5zjkPBAJXr146eSpj8+ZNc35a+Mq4KXbrYwgNEawS+i2kiUybWmgqoFOWnRER1qlTf/jt6IlNGzfM/uGbNyeNHzpiUN8n+3Tq3CvR1oKSegRjwmQPQAKhVsniBLRJxAnQcOjQd/LzVSGErmuGoTKucl5aJHs7smoIRVELC/OvXsvae2DnkqWLPv308xEjJjz4gJeAFcFHIQ0hFcCP6KPgAmhYu2bKorlbBRe6Zui6OXbqPbnZf5dL+EvcT0rVNO3GjRunT59eu3bt9BmfjXpxTO8Bg92+J+QwMxPlJOBH8BFwIzgQrIiJiIkEbASdAAmAiQCJQKwlASy0I3GX2GLoROpGajprTiQOACuCFfHOEdBMxCdStGFJCD8GIBogCqBa6yeeunKtMKSz0+cv7D5wZPPW/TO/WPR4q4EREdEAdS3UTsED4COYZJGSCDoI2iTJGWYxk2lmfD2GkDgqJVBiXtlMH1ll9IdLTcKlJhZMJeAHcFP0UHQCRIeXsyLUq18/ZfXqAyUjZBjCMLihq6FAoLgg8/zvv2zd8O23X48b99rAgaNbtx5YvZoPwYrgBUhGaExpU4Ckkobe0qXCWpJvoS7TO6aSW5bN2J8LsMRcBfAC+ADciFZJciFJAKj/0MP+GTN+LuFTjWuqYRhGqW7eq0l/6/ibLBIMBi9evLhv376FCxdOnjRp8LChbbt1f6ShG6ABoB3AVeJul/TEA2gDEgtSI5AbAY0FsJYEzYmbSB7J4rWE+SXZU2KfmqY3eghJlqRkBCdigkVKrFQhesxL7xUUKlxw3WCGYeTl3Th+7OS6tetnTJ/+4vOj+vQc6PN3k8NcAFZCvYA+JKkAaYjNCGmMJAVKyCgeoAFAvdJajri7c2iICVR2lOgk2EyBU8lHiBWgIUB9q7X1rh2nhBC6xvSSdJBe4hSbS5bBlVCwqKgg+9KlQ4cydu468sXnC1u2HFC+fBxCDKK5cLoBkgCSAVIAvKVpg3iAGIQYgnGy7JCkREJiSrO1MQBxBBxIHGbCDdEF4EB0UnRRsCLEylJ0vbr+VSt2CmFWMTPGNUUtLiq+mXUxc9fu7QsWLfzgw6mjRr3Qu+/ADkCnMaAAACAASURBVJ37+lPaPFDDSmg9xCjABACHGaYPD08FiIqKbrU2/YAQojikG4LrXFX04pBapOlqKKRcu5Zz4ULm7j07l69YOW3arI4d+lerkmAmTij4KSZJmALoRuIEqNWj99gDB8+eO3f24MHdS5ctfP/Dt0aMfrZHr65t23VIa9K2atUEwEYUExGslNqQWgk4EZwEEmvXTl25co8QgnOhqiHGNc6NkjTv7aJ+k39uXj9z7kT6xrXfz/5h/GtTkpM7lQuLB7BRTJZJE4AkAB+gCyCa0npP9X/l2pVbmmIEA0EhdC5CpfWF7J5Z8B/iflKqqqp5eXknT55cs2bNp9NnjHr+xZ59nnJ7Hy9fIRqxPiEJlNgJ2mViIxiHEEVJlERjZBovkXhZipXlOEmKlS02SXYBJBDiotQL4CbEJAsHogvQYQnzhIe7EKIpxhCM+cNRorFhcoIsxUs0TpYTyofbIyISLGG1O3V75uSZ7Gs3C/ccPLJ6/bZvZ6/s3HVURPkEgFqAMZQ4JfTLmAbgIeAMox6JWM35Fl4usXp1X726zaKiWkRHt4iJadGoUbM6dVIefNAVGWmXpJgStgWbRNwUPAguiXpl6iXEaZHtlEQD1GjSpH9GxiVTSkzVuWEYulZYmP/72RMbN6394ovPnn/+pd69Bzdv1ieysgfBKkEyQColzSxSM0QfgA/QQyVHpcjG4RG+sHBnWDlbWLjdUs4uyYlIzJXDnHJWSryUJhP0A3gQ/ZT6AWyIVirZCY0BqO7zdjl66LwQQglwQ+eKohhGqTNl4h9QqhDCNFKysrJ27do156ef3nj9jQFPDWrZtlPNR0wn1I3gJ5hEMKmUNbwA8ZUiPeUrW8PKx4RFxJYLT7SUs8pyApXiSp+iIUAjgFiCDkI9iObakEQwhWISpS5ZsgHUePhhz/LlvwghGBe6wXLzbmRk/LZq5cpPPpo6csTQrl16+3xdLSalEh+CHzEVIQ0hDcAH4JBlT9VqjatWT65c1VW5mqNyVVfFyu6ICo6wCKscFk+k2NJylFiAWEQ7pT6CHgC3RFNk6rcQF8E4gOojh08KBsxAiimp0rIeQxeqritaoLg470ZexvGTGzfuWLBgfb++Y8pHxAE0QLCWpBzRTzAFIQnQD2BG8xtFhFsfqpESHdUqPq5NVNRjsbGPR0e3rFu3aY0aKZGV3eXCrAgxZjUVkZyUmoEgB0E3BZdMHAiNAGo0btz9xPEsUVIUyzVNDYVCubm5x44dX5++6csvvxn3yuv9Bz7boXOfR1t2SbQ1K18xBqAu0jhAO4Ab0WOx+BGtgPW693754uWbhhAh3TCErnFFY4rO9FsFRZev5GQcO75y9eovvvx22NAx9eq5AWpRjJOJRyLJiB6JJkmSC6Be9Ye8S1buDCj8Ws6lM+dObt6y/osvZ4x99aV+/Xt36NTxiXbdY+IaW8JiAaLMZAaAjYCLgIuiA+DhJ/uMLSww9wUwLjjnjBtMMH5714zgIhgqysrO3LNv14JFiz78eGavPiMiIxMQYhHsEkmRSBqAl0p+IrsBasY0Stu65ZAQIhgsLg7c4jzIRTEvodR7N8L8h7g/u6fMUn9VVU0rdf369V9++eWr4199dsiw9h16ejyPJSS0cDrauR1dnPaOTnt7m7W1NfExu72l09HKYW9tTWxltbVOsLWOjmkZHdOmQf02YRa3RJwEXQQ8Mk2SiRfBTokLILFShaSE+PZ2exu7rfUfWmJCS2vi4w57a5+3w6Mt+vboNnrokLdeHvfR6xM//Wn+ynNZV06czdy0bedP81eNem7KwzWTAWJkKdHMBVH0yaQxgpsSm6myFcsnxse0atXyqY4dB/fr9/ygQS/3HzC635PDe/Ya3LHzky0f75bauGNMbPOq1RyWsIaENASIRUgk6JCpB9EhUYdE7RaLEzEaoMGzz0wuzFeFEFwzXUJ282buqd+Pbd228ctZM59//qVePQc1bdKzUiUnQKIMSQh+gqkySUVwUnQRYg+PsCUl92vcpH9SSnePr7PL095qfyI6tkWd+qm1aidVe8BTLjweSTRAHKF2CT0EfYgumfopcQMkIEmQZbtME8LCGk0Y/4VSrOuaYLrQdV1VQ/z24iz+KaUKIYLBYFZW1u7du+fOnTNhwoQBTw169IkOD9d2AkRT9BNIJpCC4EPwI6QgeCixejw9klK7ub3tPUntk1I7uLxtEqyPNopJq13HW+0BW4WKcbLcCKABwThKnRL6KCYjJAH4CfrD5BREqyQlANbs2fOFkqo4g+Xl3cjIOLpq1fJPPpk6cuTQbl17+XydLWFOgHhK3AhuiskEkhDMeonEhx5q1rzFU63aDGrdtn/bjk+2bvtki5Z9UtK6ONxtYuOa1a6bXK26o3yFRFkyS0ETZJpkoY0RkhFSwkhaOSnZQp2UNKr5sPfo4TMlEhNCCENwTXBdMIOrhhpQb+TdOHX69C9bd/7ww88jRr5Vv34zgIay5CToAfAgJslyKiE+s/gBILp8+aioRk2aN+vVtcvQAQNefPrplwcMfKF372Hduw/p0OGpxx/vk5LcKS62+UM1XOXLxwJpBBiHpISdATwEPBSdlMSHh1kBag56enxhYWlQVWe6zooKg9nZV/YdOLJo8bJ335s66rkXu/Xs16ptl6aPdqxTz4f4CEADQm1ULhEUlexUiqpQKeH9qbO5ECGdKYZucN0QRlANXbt+41xm9tatu+bO/XncK5N93lYWS32E+jI6wmiShaYCuCXJK0uxFkvdUS+/l51XGFCDN/NzLl26sHff7gUL5733wbsjRg3t2btX+049klPbPvCgG9Gst7Mhuin6LJhM0EFIdPVqzhXLtxl6SQiVc851k1VLwqmqoubmXfvt2NE169K//nbOCy9NdrnaUxpF0UHQSUkqQhKiyxLmRRojyw1eGP2WEjJUzQgpQcMIGKxYiKAQyv8Kx/82pZqx1MzMzO3bdyxcuODDqe+Of33s8y88P2ToiMHPjho16pXnRr8+YvgrI0eOGz785WHDXho5YsyokWOHDXvpmWeee3LAiG7dn23TbuDjrQc2TusfWckvEweCnYLbQvwyegixytQBEF2zRrPevceMGv3ayBHjRowYO3LE2NvHEcNfHjF87KhRr4wbN/njj2Yt/Xn9/v0nL17Kzy/S8woCZy9e3PDL1h/nLxk3/oOo6EcB6ltkV0RYMkUnQSeCB8FL0ENJPMUGdWqmdu048vXx06a8PXPCG+9PnDjljQmTXh47bvRzo4cOG9p/YP8uXbs80a59q3Zdk9PaxManPVjDIUkNAOpKNFEiLkrcBK0EHWGyHzGBYHxkZefalbu4URKj1FTt5s3czMzff92+5ZtvZ40ZM7ZPn2eaNetZuZITwCqDH8CN4KHgBkiUqZWS6OoPuIYNnzxy1KShw8c/M+Tlp595oW//EV26PdWmXe/HHu+W1rSj3flYrdre8PBYxAYA8QTN8IhTIm4KZrlCvEWyAjzsc3U7eTRLCGFonDGhqgrn2r/JRv0VgsFgdnb2vn37FixYMGnSpGeeHdyqTadaj7gAomT0l7KYC8BDwE/AJUvW/k+OHznqrcFDXnl22EuDhox6cuCz3Xv179C1V6s2XdOatnN7H2/QKLVqVYcsxQLEIjgtJEXGxgjJAF5J8ltkj0V2ANSqVt07f8FaIYSusdy8vN+OH1mzdvmn06c+9/zwnj37JPk7hoVZAWIk4iDgkNBDwUPACRAHUKdhw+aDnnn1+RcnjHp+7IjnXxw26sVBQ57rO2Bw915Pte/U77FWPZJT2zucrevVbRIRYTNrGCn4EVIBUggkA7gt1BMm2QFqTp82z9BuJzTY7cpNPagW3izKPHd+yy9bFyxaMeHNadbExwHqIsRRdBNIQkyRpcaSlAxgBYhGGlunXpPOnZ8aM2biu1OmvfXme6++OvGVV1579dXXX3hhzLDho556enDv3gO7dO7TqlXntLQnEm3NKld3ECkaoAGilUo+RB+Am6BLoo6Ici7EBhERDZf8vLVkt4Fhes3s5s3Cs5lZW7du//b77ye9/fZTg59t07FLm4493b5W5StEAdQhUqIclkSIk0oOQm1h4S6Ahx3uDocyLgghQjpTDV1lWn5R4YWLl3fvPrh40ZovvpjXrfuQipWiAepbJBuCXSJ+i5RGiJdSJ8BDjR/tse/YGUWIYq0wpOTfuHH95MmTGzdt/ua77157Y/zAp5/u0Ln74627J1gfq1DBXlLALvnCpJRyJJWiyyI7AR5pnNbrSnahECWUynSdm6900IWhsIL8ggtZ53bu2fXT/J+nvPt5+w6Dq0S6AOIIugHdEk1D9CNxIYkDeMjp7nhw3xkhRCioqooihGawIOOhf77J5W9wPynVMIzCwsLLly9nZGT88suWH3/69uNPp7z3waR3pkyaNOnNKe++8+6Ud998c/LkSe+89ebkSW9Nfuedd96ZMmXChAkvjxkzctSoJwcM6tSlT9u2fVs0612pgk0miRRsEjhkcFmIk5KEMCkR4JHE2DbjX5n6ztsfTp40ZdKkdydPevf28cP3P/7gg08+fP/jTz7+7Ptvf1y7dsORw8fOZl7MvHT11Plzv+zeNnfJ4qnTv2zf+Znw8okAsZS4ERwADol4oSR/akWs50xo88LI97/9avm8Oat+nL143txFCxcu/GnOD199NXPapx++9/7k194YO2rU0P4D+7br0vHx9h2at+rg8LWo+kACkDqExlLJGV4uJTw8BdFB0C1JXom6AaIG9H7u4tkrQgjBhBrS8vNvXMg6u3Xbxm+/+/Lll8f26ze4RYteVSLdCFYJ/AS8BNwEHAQSLVICQt0G9VNnfrbgnXc+e2vS1AkT33vtjbfHjH19+MgXn352aPdevTt17d6xS8/HWnZxOB6r+ZAnTI5HiJPRRcBBwFUOk8LQJ4GDgpVAdIUI2/wfNgghNIUzQ3B+1+sn7hrYv1+mTcf/NqVOnjx58OBn27TrWKeOA6GhBd0UvBQ8CHYKTgncCHEyjX7ttU8+/uSrye9MnTjp7Vdff+3Fl18cPnrE4GFDBzw9qFuPfq3bdG3eopPb/USth5LCLQkSJlrQHYZJMiSHSWkE3WGWFESrLFkBao8aNUkIoeosJ/f6b8cPrl679NNPP3zu+eG9evZJ9nUKt1gRYizETsEhg1sGl4wOmcQD1HI4Wr/77hdfzvp+2ozp7099b9KUSa9NeOOlsWNHPvfc4KEj+vV/pkOnPi0f796safe4mMcqRtgAogASCHgIeAn4AbzlpCSK8RYpqme3EbduFpaKpIRSuWYU5uVnnbt0YN/hJUuXf/LprO49h1aoEAtQT0Y3ggsgGTFNommIboCYsAh7oqvrkOFvzvpqzrx5ixYsWPzjTz/++NPs2d9/PfPzaZ9O//Dd9yePHfvS0KFD+vcb0L17r3ZtOzd7tGOCs3WVBz1EikKSQC1eQpMA3OGWNIm6LJIzIswBUPuJJwbk5QaFMAs8mGEYwUDgem7ubxkZq9eu/Pzrz8aMf7Hnk73bdenxaKuujWJSLOFRgNFIrITYwis0BrQRYkUSJUk1h42emF9QzIQIGUZI16/fvHni9JnVazd//vncl15632ptDVCbYky4xYzReQlJkSQfIbYHa/q/mbsyyIXCNUMEOC8OhYouX7588NCR5StWf/TJ1OdefK5nn77tO/Vu0qJ7vXrNCY0HsFLJb6EpEiRJ6JWI00LjEeoumLvJ1FDD4IxpQhiCC67y4luha1dyjmYcXbV23aeffTdo0PjoqMcR4rAkVO2lNI2QJCK5AOpXjHS/8+5szoQaEoJzw2CcG4yrjKv37H+5Zxb8B7jPlFpcXJyXl3f+/PlDhw7s2L5l9ZrFi5f8tGjxT3Pnfr9w4Zwli+fPm/vD4kULFi6Yt3jRwuXLFi9dunDunO++/HL6O+9OGPXcsL79+nXq2Kvloz3Kh0dJEE0xQUI7AauMNonGl7PEA9Twujt+PWvBsqUrlixatHjR4iULF98+Ll646OfFS5YvXb561erNGzfv27vv91O/n8+6cDLz971H9y1PXzHjm68Hj3q5Tn0/kWKI5AYw6wQ8iE4AB0EXxbj6dZImvTF968bD27Yc2rJx156dB/bv27dv785dO7dt3rxuzeplixfP+/rrz9+dMunlcS8MHNK/U+/Obbp0fLxdJ5urRcXKcYANkMRLkkuWveZ2HSolAbgRoms8YF23cpuhCiGEoRl5eblnzp7cvGXdV1/NfOmlMX37PtOiRc9SSvWVI2kS+Ak4LWgPpwkAteKim65bs2fJ4nXz5y/98cf533w7e/qMme+8+95rb7z+/IsjBg1+slfv7p06d23TpmuS74mHH/RIGBNGXBb0IrgoeMMw2YJJEngksAPUfPmF6UU3Dc6EoXND1zkvLeH+Q/H0v6PUrKysPXv2zJs3b+LEiYMGPd22Xbu6j9gQGsjgkMAlo1sGJwUnATtAdPnwmC+/mLtq1boFCxf8NHf27B++nvn5tA+nTnlr8sSx414eMnRoz15PduzQs3WrHo1TOkfVb1qxnJVADIFEGT0W2U+pnxCPJLkqRKQAPNS06ZOXr+Qzzq/m5hzJOLBi1eKPP3lvxMjBXbv2TPZ2jLBYEWItxEHBIYNHApcMrjBiBajTNK3Hgnlrtm3buWHT+mUrFi1ZOn/egh+/mPXZh1PfnfDm66OeG923X/8OHXq0atWtRfPuUQ2alZNjCcSEodOCHgp+CdIk4kOIt0hRDeslXb10vVQkhpnuVwLBK1mXfzt0LH39pm++/3HU8681bORHUrucxWGhSYQkm8FlxGQAB2BMvUaPvzrhy3Xpuzdt2rZr+64d27fv2LHt0KG9hw7u3rRp9bp1S3/+ed6sL2e8O2XSK+PGDh0ypFf3Xu3adW/+eM9E5xORD7iBxgBJQOIhJNkip8iSTyLOyhV9Em0QWSVx0ZJtekklsmYYakgJFhTlZ144s2P31p/mf/fOh28+O/KZJzq2b9exR9MWnas/ZAd4BCCKUKds8RLJg8SGNA6gVtXqCT/MXSmECKjazcLAyTPntm7fPX/RyinvftPysYEREXEA9SgmWohXIma0x2c+3YBnJ17NL1YEKzIKmCgWIqCzYH5+/tlz53/dvnP2j9+/NXnioMHPdOrWu33HAS53x/LlnbLklCQPRS8BDyVugk4LtcpSjMfZ4eL5G+JeSjVCRv71WxeyLv7y67bvZs+b/M5nLZr3Dw9zyNQrkRSZNANIQkxG9BDqBKjX/PHBZzPzNJXpWsnb4BQlZDD1j4GvEvzP7Z4SonS/fFHR9evXs7Kyfv/9VEbG4SOH9x8+vO/AgT2HDu47fPjAgQN7Dx7Ye+jg/sOHDhw5cvDIkQM7d25btXrZDz9+PentN4YMG9yjZ7/WrftUqBCHGAtoQ7Aj2hFsiIkWyQlQJzWl56aN+45lnDh86ODhQ4fubvv27Tt44MCRw4d/O3r01MmTF86fv5SdfTH7Qsapo+s3r//2xx/eeHtqUuPOhNZHEkeoHcBpbpgBcBN0IiRWi3S8Mf7DzRt3ZJ69dOpE5pnT5y9fupqVdeHChXMXLpw7ffrEsYwj+/fv2bhh3dy5P342c8akd94aOnJIjz7dO3bp/FirDlZ7swoVYgAaEEwESDBzsgQ9BH2AVoC6T/YZoypMCGEY7ObNG+fO/b5t2+ZZsz6/TamRkU6ARAI+iSRLJAXBQ9AhExvAI9aEVr+fzjuWcf7gwYw9e/dt37F9w8YNi39e/N33302b/tH4N8YNGjKwR5/uHTp3erRlW4ejRY2H3ASiKToIeAB8ULo1RQIXQlTvrq9mn88XQjCD6/rtV/ndzqGy27XcfzPcJqXu3r177ty5Eya88fTTT7dt26nOI26AGIpuBBdBF0U3ggfRB5AYHh6dvmH3qd9/P3Rk/6HDu3fv3rhly5oVKxfPnfPDF198PmnS2yOGj+rbd0DXLr2eaN09Nbl9VIOmFhoDkEDBjeCk1AfgJMRjkZMBGtmtXXdsPy6EuJ6X/9uxw6vWLPtk2ocjRw7r2rWP398+rFwCQAylLkQnRTcBNynZDP3QY48+uWPnsTOZF46d/O3Q4f2HDx/cu2fXpk0bli1b8t23sz6c+t7LL7/05JMDOnTo0frxHn5P+2qRTgIxYeiW0IfgLielScQP4ABoGCY33L//dIk8hMa4qqnKrVsFZ34/t3XLjjlzl0x6+9NmLXpJckMkMWEWH5X8hCQRmoQlpX4xEeVtL7409ZetR86ezT53NjP74sVL2dnZ2VmXL2VlXzx/5szJEyd+O3Ro36aN6xfMn/P55zMnvfXm0KFDu3fv/UTbbk0e7ZToaFG1uhWhAYJVIqkASRJNJeguF+4lNJbQBq3bDLtVoAkhzFdu6boWUoLXci4f+e3gho1rv/n+i9cmvNr/qYGdu/R8ok0Ph6N5+fINAWOQOAGshDiRuojkRJII8ECLx546fyFXN3jm+byDh04sWLBs5szvBwwYV6tmY7PGFsFBwSdhCiU+i+QGqOP1ddqx64Ri8CK1WOUBxoNCKIyrgUDg2rWcjIxjK1ct/2zmtBfHPN+3/4DOXfo9+mjPBvWahsmJlNgks1ASSnZ8SJI1Itz25ptfhRSdlbyrkOm6robU3JycfQf2LV62bNpn3zz11Ng6jzQFSLDQFIpJlCSXk5sieAjYAepXiUxcuGgTZ8LcAsdLthTq7M+vRCtV8/8BK/We+3OuqmpxcXFBQcH169dzcq7l5ORcvXrlypXLly5fys6+ePHixaysC9nZ2dnZ2ZcuZV+6dOn06dM7dmxfvvznDz98d8TIYT169Wv9RN8KFc2KKCegHahZSmWjxAfQqEmT/keOZOXk5Jk//wOuXrt29dq1y1cuX8+9fjP/Zm5u7oWsc3sP7Fy0dPFH0z4fPnpivQZmIXocYBwQOyFeQlIR/RScEolu+0T/vbsPXTifdfNmfn7+rYKCwkAgUFRUVFhYWFBQkJeXm5Nz7eLFrGPHjm3btm3FihWzZn3zxoQJg4c83aNn13YdOzZv0a7OI16ZRlFMIGAFsBJwytRDSTIhPoCoh2ulnTh12eBC1Vh+/s0zZ05v2/rL1199NWbMuH79nm3eokflSDPo6QPwUpqE6AVwINgB6jrsHW7mi5xrxdmXrp3POp+Z+fup08f37d+zadOmxUuWzPhsxvg3xw8dPbh7365tOrRt3rJtvLUJ0AYACQgeANMy8gJ6CLgREpqnDvr9xEVTZ8xwvxDirkqgP3tAfzHWd1PqxIkTBw16tm3bLnXr+M2dM+aOTyAuQB/BNACHJEXtP/h7bv7NrOxzly6fPXfu6O+nDh4+uHv71l/Wrl47+7sf3p40adSoEf369XmiTfsWLdp53W0qhici2Ai4EGwEnRL6KPgJJAEk1KvbZuWKHUKIvBtFGccz1qxd9emn00aPfq579/7e5HZyeBxALKFuRCdBt7k3CcEJULttm6FnzuXlFxVfvX716tXLVy9fvXD2wunjJw/u27t+3cp5836Y+uF7o0eN7N2rf5tWPZqkdq1R3UMgVgYXAR+Am1K/hCkIHoB4WY5dtXqPKTouNN1QigKF167lHDmSsWzp6ukzvh86bGL9ho8CxCF1A3qA+ACd1OJDYgeIlWijtm0Gb9v625VL169cuVpQUFhYWBgIBILBYCBQbGpdbu717Ozs48ePbdu2dfnyFd98883EiRMHDx7SpWuP1m06NGneOjomWZbrA8QR8AOkENIEwU8lL0pWgPoP12556MhVLoSqGJyVvFqlqKgoKyvr6NHDK1Ys/ejjj8e8/Eqvnk+2b9e95aMd6tb1EDkB0AZgA3QC8SD1InECNIoo75gw4bvr19TMMzc3b9z3w/cLJk74MNHampBYAGtJzg38EiRZiIeSRtWqxk/79IeiIj0UUnVdNd8YJoTBuaEoyq1bt86fP7/t11/mzJ09efKEIUOHdOvau0O7PkmetlUqWinEEOJAOQllH1AnEAdAfESEIzqu9b6DZ3npO/tUVc3LvX7m3Kk16Wu++XHOxLc/SUntVq6cFcBGwGOOVzhtTNApo5XSR/r2Hp5z7SZj/23A9G9wP1/ud/tv821vuq7ruq5pmqqqiqKEQqFgMBgIBIqLi4OlCIVCubl5p06d3Lxpw/TpH7/w/OievZ98vHXviIgEgDgAO6AdJY+5kx3RC9CoRYtnzp27oetGKBT8P+y9d3RU1fr//zx7nzMJTcAGKhAgdTJ9ztQEpNdACCWUAKH3IiU0Qb1gQQWUXqVYsKHCRem9WUAU6RCS0EsaqdNO2b8/zkyICt7rvd7vby3XZ68sl7jwTPaZc1772ft5nvfb++tRXl7u9/sDgYDX6/X5fB6Pp7CgIPPKpX0Hdr23ft2MWa+36zigxmNGgGjAeCQ6orECqoUsdg7Mz9Vxb/xwW15uod/vk2XZ7/cFAgHGmCRJktq6EQh4vb7S0rK7d+9dvHjx+PHjW7dsX75sxcxZ04YOH9ijZ4/2HbpZTK1rP2ZGiCOgJ2gkwXy9gxAHgK7aY8KipZskxiRZKS4tzrx88cD+fWtWr6lAaq1aJgAdgB3ASjk7QQGDQhLPCUKy18dEUSn3eEvKikrKCu8X5d66df3SpUvHT/y49etty9esnDVn5sBhA1JSu7bvnCI42mqqxiHRA1gA7IBOJHZAtbI1WhfT+eQPFxkLQjP0kP2XSB2a1CklooENIJ6iDcAMxAzUAuAETAQw8xrt2fPXA5JYVFJYUppfWnK7+P7N3NtXc65knvnlzL49ez94f92rr700avSQ7j26tGuf5HJ1qFVTT4ku2BkMRg11cegmYAfQPlbDvn7dVlaB1G0PkGpzd+KqaAG0hAqIZiRWQAtBG4cOgEbdur1w+26ZJCs+0e8PeEW/31NSXlxQcPv61VM/H9+3d9v6DatffmnWoIHDyx697AAAIABJREFUunbp37pl2rN1XAhxHAgE1AoEOwEngh3BHBZm+OSz/YFgxBPwBTwFhfnZWdmHDh5Zt/aDV2Yv6NhpWM2aAoAWwALoBOIAsCCxEs4CEP1M3cSvvjiWn+f1lvk85eXqY1ZZd1h9lcrKynNzczMzM3/88cft27evXLly1qxZQ4YO79o9tU27ZKut1WOPqQo1dgA3QBMAF+UcSHQAjatUd7694AtZUhuEgnFZICAWFBTk5GQfPnzovTVrZ89+Y9jQ0ak9+nZOSrXZ21arZQHOBGgGzoYk1E6GZoDIyMi2H3106MK5vI/e/+ad+atTugysWkULEKvhHTx1AtgA1ExgPGL9tF4Tblwv8PuDGs+S5A+J8CqSJHm9vtzc3NNnTu3atX3lyiVTpmT07ZverWu/1i1SYxo9H67mJzk7UgGIFXmbWmRG+eiJk98u9TCZsXJ/wOcPZOdknzjx3abNX85fvLL/4InPPuskJJagGUAIo000mEDBXoVzIEQ2rJ+wb/dxT7n/L4Heo8Zfj9RH/RcWOnX9jf5/SUnp1Zyco0cOrVy5NGPK5F5p/du06121qqqxZAY0IW8D9XsFAaBx+/ajb98uq7ha5SFJD6J3WZbLy8tv3779888nv9r85fx3Fg4bOSkmrjliQyTxSPRIjTRMQDQS4gAwcKjv1mV87j2v3yepj7LPF0TqbxYMtWsoNzf36tWrP574afPmLYsWL5g89YW+/fulpPRp2Tw1on4TArEIOp5YKFpUxRNEByFWxNiU7qNUjcuy8vKr2VmHDx1Ys+qhSDVTzkqJmaAOIAagrtOZHMSeokiKX2Z+SfZ5PCX37xdeu37z+ImTm7dufXfpwjETxqSm9erUtae7SedqNQ2UNwAYg78DZwM0ETBxoI+OaHP829OMPRSpoRrVP43UwUmdOkdEWABiqcpuYgBqBnQAJgAYNVV0V3JuMaYKvPsVuUyRy0VvaVlR4b07d8+eObVz19bVaxbPfGlS/wG9klO6NG+Z/NRTRp6LI6jnqAXRxBMXRSeCAGCoUU1YtXITezhSO/8eqRjsrGvYvfsLd3PLGGOhYnGFybIi+n3lRTeuZ/7007ebt3w+b/5bY8dM7NN7WMf2A+o9mwCgVZHKYYLasYLgBDDznPaDj3YFVNsIFij3lty6c+vUqV+2bNm6YMGiMWNm6vTtESPVLRchLiROAAuCgQuzImq7pEy4d0eSRCb6JVVN9aGvjLr5KywsvH79+smTJ7/88suFCxdNzpia1i+9U0pqs5Yp9es7KdUCCGojFoCTUBugFjAOILZdx5E+7wNBEEVhsiyVlZXk5eWePXtu8+Yty5etmjZ1Vnr/Id269mnduntEZPPwGgIQPVALoXa1HQOJlZJ4gEbt2g3/9OPDa9f8c+igaXWeNgBEEGKpGpZIiA1ACGnNRDRu2HTLl4crXsaA6BVFX8XzpIoclpV5bly/cfLkiS+/+mzu3NdHjBjdu9fA5KT+bluXOo8LCDEQLOA1I+fgNC4kJoCIus84du05KTNWXBbILyi6eOninj0731v3/qTprwnOTpQ2BoghKAAI4VyzcGzCga26xs7zURkT55fcl/+SRv4/GH/9xl8Jqfr/3jql8n+v+Pfi4uIrVzKPHDm0evXyKRVIraYD0CERAE3ACUBsqiwbQKNOncbfu+dljMm/G6Kq+8YYY0ySpPv371++fPngoYPr33//ldlvpvYeWaeuFaAhF2YhnBFQj9QEaOI1doDoGtXMa9dsZUztf1fUyLTiahUrgfpHURTLysoKCgqys3MOHTr00Ucb5rz68uChQ3r06JfUob8uvm24Roeg5TkLIRYAk9o+iGgGaNAosumNW8UBScnLz7tyOfPwwYO/ilJrql09AoCFUCslJkoMADEAdVzuLsGpyUxSRIWJjMmiJPq8gfyC4gsXsw4cOfr+xo9mvDSz/6BBXbr3TWjapXptI+UNFXIbyFkB9RSMYWCIadjq+He/VHxxIaRWbvH7c2epIaQmhZBqAdAD0QE1ILEDugD0YVXis67eDF1AYkqAMVGRRdHnLyspuXr1yrFvD2z68sN578wZPmpgau+ebdt3q1PXzNFYAjqesyKaeeIiYEOwABhr1rCtXvU5Yyy/oORhSNX9GqlmRFUQ67mUlLG375YyxiRVB0QRFdnPWECWPPn5Ny9d+mX3nm3LVyzOyJiRnj6mfbv0Z+q6MYRUBBfFJgQTCbgBDJRGbd5yLFjoLweKSu5nZV85evTYhx9+NHv26336jK1b1wXQGNGMaCPUhcQFYAaMR05frZp59ZodnjLm9ykBn5fJAdW/p/ILosatLHSkVlRUlJWVdeDAgQ8++GDOq68PGTaia2pah6ReOl3rKuFGADMlTQg2DckmaAlnBIiq1+D5K1fuhp7t4LcnSf7y8rKrV68ePnxk0+dfzXt74ehRL6T2SOvQvoczsVud+k2B0wLEU2ojRG3b04eHWzSa+Crhcf37zXp1zoYmrl4ciQSIV2tIEcwa3qnhbACNaz1menHqwju3y/1+leCiKKluK4oq86zK8Pv9Yl5e3qVLF/bu27lmzaoZM14cmD6ia3L/1s1TDXFtHqthQaoHYgGwAtoo56bUoUpBDhr88p17Hl9Azrp68/vjxz/cuPHNtxd37zW29hNmgIYcNRG0Idg12JQHJw9WhCiDvuPPP16T/CzwwJzlfzL+J0j9DY9+/3dYCFKyLBcVFalIXbVqWcaUyb3T0tu271O1uh5QTzgboBlIhSyIANAwKWmcitQ/jlIDgUBeXt7p06e/3vbNuwuXZGS80qZd/8dq6gGi+XA7oarupB7QwvECQCO9Likr8/4DL6lKQ53Ob6agSoXm5ub9/PPP27ZtXbz03fETxvdJG9QlOd1hT3m8loAQx1MLIWYAE6UuVPU4oNHjTxj37P/JL7J79/KyM7MPH3gUUq2ECAStHLEixAM843KmBD9drcyrWPBlVl7uu37j7slfTm/Z9s2b8+eNGjehZ9rQJs26V6muR6oLLvXEitQCRI8QjxAZ07jlie/PVMyo0umS/N8htVNEhBUghhIzgB5IPHA6pAIQB0C8Jlx7JecmY0xmSnAXGuyFZ2JAzMu7e/rsjzv3bFm28p2xE0alpfdvn9Tz6TpmirEIekQTgllDXRxxIJgBoqtXN65Z/Rukvjt+/PiHIdUMaEA0EjQCPNet21g1SpWZpATT9EEN6eKS3JycC4cO731v7ZoZL748YMC455ulPl7bSkDLoYWCA8HBc8050hzAARBfvbrp+x+yGWOSzHwBX15B7pmzp7dv37Fs2fKpU19s365vjeoWAC0hNkQHohPUvBY1AcZFRbU9f7HQ71dJF2BKQBWCqRgVL0vlpzo/P//06dPbt29fvGTZCxMn90zrn5yS5k7o8nhtO4CRkASCTUJI1SFnANDWrGna9s1R9dFRBScZY4oi+nzevLzcc+cu7t93ZMP6jS/NmjMgfWhycq/2nfrrrEnVapoAtYRaeV59enUcZ6gSZgZo3KB+y+bNhtV9umkYbwrj3Qh2AAHRWiXMRVALUK9Nm0GXLuYGAkyUFVmRZTmgKH5FESW1OF81apOYKMrFxcU3blw7ceL7zVu+euedd8eNndy756Ck9r1bPN+9foMEoLFATEjUqlsnogPRQon+qaccGzfuLfOw85dztu7YuWTFyklTXjVakpFG8Vx8FY0T0UaDnSZWCjqei3zjtbXeMsZk5vX8xn7sLx7/E4fUR8H0oX+zuLgkK+vKkcMHV69ePnVqRp++A9p16Fu1utrmbwViCS1TdkQbQES7dqPu3i3/l5f1er23b98+fvz4Z59tmjPnrRHDpwq2ZI6PAohHzhoUDAQ9oAnRgBjVr19GwK8KCylqaFARJvh8vt8glQWXBKWsrDwzM/PYscMff/LBS6+8NHjwiO7dBrZo3qt+vSYEYygxETQDmHk+AYO/f+xjNY0LF3+gKKykpPzGtZsH9x9cs2ptxuTpIaQaAbQA6hvoALBzxEXRAlDfLnQLfXSIdaF6J0lScvMKzl64sGPv7neXLH1h0rQ+/Uc1aZZK+RhAbbC7Bq1AzIDq9Rs4rClnTl2pNJ0Kev5a2P/PIXVIUlJKRAOhUpSqBS4eiBmIAKDVVInLzL7JGJMUUVJCzlGhWZSUlmRlXzp0dN+qdctfyJjYb8Cw9h37Pf6EGSAWVREcEHji4NBG0QwQ8dTTjs8+28H+NVKNFUilaAKo3737+Ht5KlLVdSOIVIX5i4rzsnMuHT6yf+36dS/OmtMvfZzVmlS1io5gPCEminaCLoJNOGyGYAHQxcUlXbuezxiTZObxeW7evvHd999++umnb7wxd/ToF+y2JJ6q7ZVWVeUAqQvQAmggnK576qT7JWorq/Lvm9N4PJ5r165+9933H2385B9zXksfPLRr976t2/Sq91wioj50nGpHFAhnQdQjNVWpYnh3/nrGmCIzv09iTJFl0e/3+nze8vKy27fv/XTyzNZ/bl+6ZOXkidPS+g5K7pberHWvRjEtNVX0gAaOc1AiIBgRjBrequGNiNoq4VZKzRSt4ZpmhLgpuinaOGoGaNigfuLq1V8wxgKiwhiTlYCi+BUWUBRJCZobhP6pMJ/PV1iYn5l5+fDhg+vXb5g9+7URw8d1TUnr2L6X0dQ6rKoWQEuIXRWx5UgCT108tQFEt2s//NDR8z+eurR+46dz5i7olDy0ek0bQCzPmcN4FwEHDwkU3AhmhJgObYdcPJ8r+hlTmBh4iOPZXzj+/zSdVgPVoqLgxn/NmhXTpk1J6z+wXYe+VavqAGIBTEAsgGYAC6Id0Q7QoE2bEbdulbKHRakVVw4EAiUlJdnZ2QcPHtyw4cMZM2b36zsuMrI5QCNVNR1AVbRSJUiiw8Pj5s5drVTy46u85f/N9ZVQ3kCW5UBAunnz5qlTP32zbcu8BfPGjJnQq+egDu37RkW2ICSGEiNBM4JVo0lANV0DcRpN7MjRMxWFlZR6s69c271zz3ur14WQmlqBVIIJAAkATp4kcGgHaChYfoVUuZIfm6wo+YUFZ86f27Zr94JFS8dPfLFX2hiXuztgNEA8oAVAUFN8AGaCOgIRKZ2GX8u+rV4w5BUb/NO/6ZXyMKQOS0rqGtHAoVohBJHKawFNgAJAXFjV2MzsG4wxSQnIiqRU8oxRFFZa7rl2Pefod0dWr39v0pTp/QeObdMu/bGaFgAtghXBTomDgI2gmaIJoJHBkLR//wnGWH5hUSWkjktN7f9bpFIjED2iatPwTErKGHXjH7p/iiKLiiKJki8/P/dS5sW9+/auWrN+5stze6eNiY1rSWg0ITpKTRRtFN0ADg1tgmgiJL5N22G5+UWMMUlm5R5PzrWc/Qf3r127btbMlwYNHBkb8zyAjufsAGYAO4CFcA5AC2BMeDXj63M3FJcxhTF/wMcU1WTlwRHZbwLVijXe5/Pdvn371C+/fP319ncWLho2alT3Xmkdkvo0btycEC2ARS3tIMTOhdmR6Ahv4TS60SNnSSITA4rH42dMlaeSZFkSJbm4uPzihSsH9h/5eOOnr782d8TIscndenfo0s+ekFL7SStANIKRojVYuE0siHq1AZ8nDoI2RDeik4CTgAUgmpCGQ4a8eOdeuccTkBRFUiRZCTAmBQLlkhRQ3fZ+00Ti9Xru3r39008nv/jii0ULl0yd8mKvnv07dOjWslX3iKgmlKoxgR3AwZEEniQStBEwPfaY+ZXZq3bu+WHR8vUjx05v2KgpgBbRgmCmaOPQyYObAycBfdWw+PfX7wz4VadI6aEmkn/h+P8BqZWtYxVFKSoqzsy8fOjg/hUrl2RMmfSwKNUKIFREqR06jFGVT/9gBAKBwsLCc+fOffPNN4sWLZs4YWZy8uA6dRxBTKM1GLWFdv21aumOHjv/L4yxH/5BYmFhwcWL5/fu271qzaqp02b07Tc0qVM/k6lj1SoGgDhKrBzaEW2ITkKcAAaA+h07pTPGSkq8V7NuHD54tFKUqiI1DkBAcHNcM0QXpxaEQ4RN6Bq8gQoTZUWSg772iqKIcqCwqDAzO3vPgUMLFq6YPGVOz97jYmLbcho9gIHnnTzvBrAR6iTUhhAHUHvC+FfLStR6BjH48j6YvPSfInV4UsfUiPoJAHqKAoAhhFRVcSqarxJ5JecGY0yUfX7R5/cHKtZBWVGKSooyczIPfXtk1dp102e9OnDIZKM5iQ/TU2ql1EWpG1HQUBdHLABxAM89/3za5czb7CFI7fdQpBJiQjQCPN216wt5+T6FMb/4YDmRJeb1+gsKiy9dzt62fc/SFRsmT3nN6U4OrxqNEMXxJiQWABPHJVLq5qkbQcfzsa++vrbcK0oKk2QlL7/g3IXze/btXbRoSUbG1NQe/es9awfQE/XRJfbgDxWoxlj9Mf22HSe9AVXWRGTMy5j/X95zxpgoigUFhVeysg4cOLxi1aqMGVP6DhzYpl03bXyr8HADgAkhAdGFaEdqVZUwAaLatUkL7bjVs1ox9PAwv0+6e6fgzOkLu3btXbFy+fQZM/oOGNShc89WbXvF61tzfDTBOJ6zIlgoCoRYURXzRYcqS4jYhKPPY7A0pb5W12r/wVN+Ua3LUw1JRcZERRHZ7/Ylwa9elgsKCq5evXrs2NEPPvjwjdffHD16bNduqR2SejjdnWrWNKkC9jxxE3DxJJGgi0M7QGTDyBaz565asurT5m168+FaRCuigGDiiZOquAc9QOTgAS9lXSlgLNiYK0tM9fj7H42/J1J9Pl9eXt6pU7989dVX8+a/O27stPbt+z/xhA0gXtVUDW2EBY63AUQ8+aTx/IVbLChs++fmUlpakpOTffTY4Q8++uDlV14eOGh4cnI/i7VD9epGgDiKVg7tCAKiE0EVPK3XvEUvMcBKiv3Xsm8ePnhszap1v0cqJQmUJFJI4FAFcWNBSJEl1YBaCchq/1xQQUqSpbv3cs+cv7Rr7+F3F60d/8KcVq0G1qxpBdQC6Amxc1wCoBOpE4MqSk+9+fqqighNpep/hdSPN77y8itDBo9M6tgron5TACNVBfSIDvh4JGqKLFZTJToz6wZjTGayrEiKIjEmKUySmSTKgYLigss5mXsOHFi26r3pL73RvefIZ55zAUQRYkK0E+IiKGioI2gJAU906za2pFRmf4zU4OZXjVJNqsVDn94vlpT+ZjJM9LPSEvnunZKffr688ZNvZsx8u0nTrk/XtQBEAEaj6rMAAoBTo2kSHuYCaBQV3eL0uZuKwiTG/AHl1u27P/9y6pvt2956a/64cRM7d0qt85QAYCLgQLQBsQGxARWAWgBjHqttOvHTNcaYJCui7P+DjX/l7RFjTJKkoqKia9euH/v2+LoNG2bOnjV4xNCOnXuYzW2rVzcDmBDcCG5EBxABiBXQAhDpdqQEvMGZMsZYEHOyLCuiqBTdL8/Jvvbdd99/8ulHb817Y9S4sSk9+rRL6ulOTK5T167h4wjRIRgpCgRtiHZEB4JL1ZEBcAM4NLwDIPLJp4S35q0vKVeKy7yMMZWnSoWgacXp/K/P6BVF8Xg8eXl5Z86c3bp167Jly6ZPn96/f3rn5O7NWnaOim4SFqYF0HLExqELwIHg5IkLQBte1ZjcbUz6kBfrN2oC0AjAzFM3R+0ABo7aqmhcCPENGzT77JN9gQCTQoyXpX9n5frPx98TqR6PRz1I/fjjT157fe6IERNatuxVs6YlhFRVMV4g1E6oFaBhVFTTm7eKGGOiFPiz0/F6vXfu3Pnpp582ffX562+8NmLEyG7d+wu2DjVqmAC0FK0cOkPtQ25EG0A9i7VTbq6vtES8nnPr0IEjD0OqVT0o4NCOYKJUBxAhCJ2CN1CRArJHlL2K4mPMryhiICDmXL115NjJL77aNffN1enp0wyGLpToKGfFYOGtG8AGIKgxy1O19Zu/2MuCIaocCPgVpXIy6r9Bap+Ies0AzBSdAGYgOuC0VCMQYkHUasKisnKuM7VJS5Fl5peZT1S8AdnjFctu5d4+efqXb3btXbx87fBR0wRXJ02VGIDGlFeF7h0E7WGck1I9R+MIeW7mzIWMMUlm+YX3H4HUOMKZQ0jVIZp4agPQJ3Uc/9231+/dLSm67ynMK8u9682947l1o+jc6Tvbvzk+9821PXqMide1Cq8SidgQMJpwBkSTqr5KqJ1SgdcYOC5yyowFJR6/X2IBmZV7/Neu3fz++A+bvvhi9uzXhg8b3aplUu2aRgQzATsSaxBw1ArqgWNks6s3S5jaJRrwMMX/qHteUWpScQJQWlp669btH0+e/uSzz157a87IcaO6pvZxuJJq1RIATEHYoROIPfihEBkf1ybvbkU9psJYQGGiLKtmKsznlfLyCi9evLB3344N7695+R8vDRw8JDmlZ/uOPS3W9rVrmwCiAXVYkWRDF6A79GMnxBGmsRHSODll5NkLN0TGSj1edTelMPFXAny/5Wmw3VOWZa/Xf/36rW+//e7zzz+fN++tseNGp/bs3iEpuUnTTs8+Y0OMJKgP45wIFgAr5dyIZkK1z0W0aBjdmg+LRdQisVXRNAnXuAH0Gs5G0YAYPWH8W3dulzDG/KKfMUWWmRj4P6T+SaSqhVnXrl07evTIunXrXnr5H4OHjE5M7FK1qh5Ah2BWPYiQuJCqIpVRLndKUbGXMSbK/44x06+G3+/Py8s7e+7s1m/++fb8N0ePGdOzZ7rTlVSrpgkgjoLAgSuEVBchToD6UVHNLl/OLSuVr2Xf2b/38JpV6zImz+jXb3iLVj1q1VItXS0AFkQjJRaCxqpVbQARJnO74E1T6zqZpApheD3++/e92dm53/1w6aONu4cNe0UXn1Sjhp2gRaNxcZw7aGCHAhIHoTaAZ1q3SMu6fJMxJkmiLAckSVLkvwSpI0JRqomioyJKBdQBmChnrVLNmJ1zk6l1YDJTgmcYYkAWy3zea7fuHDv+88efb8uYMdfdtFutJ01AGiHR8uECognBRdCh4Vw8ZwGIaNDAvX3Hd4wxUfo9Uvs+DKl6QBPP2SmxPvlEYvNmg3v3zhg76s1hg+aMGjF35LBXu6e84LL3qPecu2rVOMSGFaathDOGhTsoFQDMSOzhVRIp1QE83bxFr1/OXa1QQC4pLcvOuXbk2NEPN26c+eJLgwcNT0xoU6NqPAELQRsSC1AzUDNQK1AjQCOLvWtBcRljLCDKouQPqgI+7J5XdJpUvDher/debt7pMxe+2rLl7XffHDtpbM+0vonPd3r8CQHAiMH9+K+QGlE/8crFXPXpkWRRCSFV/d4VmXnK/Xfu3P7p5x++2fbV4qXvTs6Y1Kt3WpeuvVq37d44MkETFgcQj8SK4ASogKkT0EGIMyzMDRAVHdN605eHfBIr9frlByGqpFR2Wn8IT4OTkkSlIL/k/LnLe/fue++91bNemj5gYFpKt+QOHVMMxuerVI1Vt/8IVgALoQ6OtwPqqMbEhxsBtXy4nVArRwWOODTUwRErQCNtfNvvvj2nMCbKkqSIjDFZZpL413hMPWr8DZGqVqRmZWXt379/xYqV06bPGDBwuMPRQaPRqnqmQKxAbIQmILoA9EDi2rcfUO71McbkPymRoCiKz+cryM8/f/H8th1fL3j3rTHjRvdOG5jYpHPtxy0AWgICBWcog++i1A3QIKKB+6eTV8vL2NWsW/v3HFqzuhJSa+sBYtQ8EsfZwsOcBA0EDQDPuFzdH/YbMDnAbt3w7Nn1y9tvb+zda3pMVHuO6gEMFG0ADkSnqo3PaVycxgGoRXzm1X8sl4KmSbLHWyLL0q/DB+nf8S5/eHrq92epXDzlLIh2AEPVavbrN4pC//uDS/kldutuyYEjP69c88XI0bMt9i41ahmRxiIXD9RAOAtSm2oYQ4md580ATyV3Gameh0qSnF9YWAmpY1J79rG5k7gqWoDY4MafqI6QFo66wzi3esQG0EBD43nQqSr9IQfsKIBIhDgNb6DUAKhDYqK8nVDVa9KuCbMBNK7fwPXRp9u9MpOZ4pdFnxQoLi3Jvppz8PDBdRs2TJ8+c9DA4S5n62rhWgJmQqxITECNQI1ATUCNSLRNW6bfLymXmbq0KIoiKY9ImlQgtaLsxO/35+UXnD13aeu2r99ZMm98xrje/fo2bd758SfMADpEB4Ib0RVCqgAQXe9Z988nshljYkDxB3yqhZSiyBU2y6IoFxXfz7xy9uixvRs/fv+NN18fOnxYtx6pSZ1THa4OT9cVOE6HaEV0AiYCJgBxArUBUU0G48KraKdNX3I33x9QlPulpaIihnj6a3w9pLBEYozJCpNEVlLsvXb11o8/nvziy8/nzX9j3PjhvdJSOnZKatq0bUQDO6VRAFqKNkQbopXXOAEsgAKgiXAmTmNXDasRzOEaN2Jc1arxs2evLC/3K0zx+EtlJSBJoiiGqg7+Z+NviFRRFAsKCi5fvrxnz54lS5ZMmZKRPmCIILTh+ViOmCgxA7ECCogutaUHaXyXLiPLvX4WXEb/3Fx8Pn9hQeGlS5d27t7+7uL54yeM7Zs+6PnmyU8+ZQXQUbBVIBUggaAboHH9+q7j32d6yll25s19ux+OVEQzpTaO2inawngnQLTRkPrN1h+/O3bq+HdnTv544eSJS0cPnvvnl8c/2rBvxpRl7dsMj2jQXMPrEfQErAh2BDtiAoIbwEqonQuzA4kHqBev7fDd0TOMMVlSFEXy+n6P1ArxlD8aD0Pq0FCPv5aiBSAeSBxQbVh4Ise1ALDVqNFkxfJdR4+c/O7I6W+Pnj9w4PThw2d27z7x4Ye7X311TWrqJG1cUs3HbUjiAKIpZ+E0qtyMieMTEN0ALkQTQGzt2sLiJZ8x9VV8JFLjAGKCUSpRXbAEgi4e3eE0oQpvR4gFiKVgRAha7PBoDaM2CiYAAyEmQq0Aqm2PGdAGxIXUDRCjqap9a/6GuwXbLxHTAAAgAElEQVQenyx55HKf7PGI3sKi+5lZV/Yd2Ld6zZopU6YPGjDcYWsdrokhYCZoRaoHqgOqB84IVE80ujYdht0v9TzwjZcV5RGN5xUhagVSA4FAQUHh+QuZ23dtX7T8nQlTxqYN6NusVXLtx40A8ZWQ6gBiAyIAxNSrm/DtkfOMMdEvBwJ+1ehUYbIS+t4VWfH6yu/cyz57/viu3d+8997qaTOmpPXrk9I1tW2H1Fht87BwHaAF0QXQBDARiAOoFTgjEi3ltE2a9jt97qaoMI+orjG+Cp4+bFYVfc/qCbJqHsS8HjE/r/hKZs6Bg/vWrls5e860YSP6dOnaoV2HJIetbc3HDAAxmqBpuYnyDsAKAx4LcALhzISoZsYWxOhWrQb//Ms1vyjLil9UvJLiE0V/ICCzR/xOf9X4GyJVLYe+dOnS7t27Fy9enDFl8oBBg62WljwfreEtHLUAsQDaAGyUNgEQALXJXUZ6gkj907MJBAL37xddzry8a++OxcvenTRlwoBBQ5q16PL001bECqQKKlIBXABRDRok/vD9ZU85y7p841FRKgmqwAkUXRo+keNsBA1VNKanH3fXe6ZpVGRrbXSHRs+1fizMBtAYIBKD3h5a9aiBgJuA6krvBLAisQKJR4ziw3Qvv7yyvDQgS0GlVEXxy4r8IA/L1Nsg/fko9eVKdakxlJgA4tUolXAuxCYIiYi2KmGmalVN9Z9pGdWwbUxM2/r1mlSvqgeoB1Bf1R4GMBIiEOIgJAFJoqogg+gGSERwqUVvqakZOVfz1LMKUZLzCwsqIXVsas80m7sjVyUWIJpwJgy2yZkRbQh2BBePLp7aCRoJGilYKdgRBARbGE0I59wULIgWSmwAVkRryPNZtWyJe/Lp5ydOWXj15v3icr8n4PVKZQHm80u+vILcC5cu7ty9a/mKFZMnTR04YITN2lLDRREwE7Qg1QEXD1QHnBGoDkhM2w7Di8s8LHiMo/yBjGJFM1VlpBYW3r+cmb1n/56lqxdNmv5C/0Hprdp2ffxJ8wOkgjtooE0EgNiI554/tO8XxpgiK7IsMSbKil+SxMpLqayIpeV5N25dPvHjd1988dm8+XNHjBzarUdq19R0u7NTtWomAHMlpDqBWoDTc+HmsCr6lK7jCoq8jDGfrPhEv7rffzRSK7nJMpExpkaOssQ85WJebsGpU6c2b9m0aMncyVOG90nrktylc+tWKQ3quxFiKTFz1IJopJxT1VcDdCN1IG+jvImjZg1nB9A+8WTCmjXbSstlr98nK15Z8YiyV5YlNeMvi/+X8f8zSFUPNy9evLhz585FixZNmvRC3359LZbmGk0cR81ULStBAUCgVHV203ftNr607D+JUhmTRTFw//79S5cv7dm/Y8XqRVNnTBgweGDzVslPPWVGiOWIQNGBKCDaAZogJgBERjRs+u2xs2WlcualnAP7DqxZ9V7G5Gn9+g2thFQr5RORugAFQlwAQlhYQniYC0BXyaZQS8DAgYWClYKBoo6iiaCVQyfFRAqJBNSTDSshZj5MAGgI2LBD8thz54IbQEVWZEVSFFmSHkQrFd/Mf1RENSQpqUtEhAAQS4na428EauQ0biQOQhI0miaqZV4VagPQAjQCiAKIAYgBiEc0EbQSIvCcm9ImGFTPcqumhBw6CZgBGkdFttuy+QhjzOdnjDFRlvIL886cO71t29eLFi0aP/6F1NT+Nncnrkpc6CzVgNQMaCbooJCI4EYQAHQAeh6FMHSGkSYE3WoTsCorQdAWzidw1EWIjecdhKgqog2jY5q+Pnf1vTyvX2RlHq8oSzJTArLo8/tz8/PPX7y4Y+eOxYuXvDB+cnr/oXahRRgfRcFK0IrUAOqPilSM7pg8+n6Jl6nFD7KsPDoNXbk5UM1QqUjNvJK9/9C+Fe8tzZgxsd/A9FZtuz3xpBkgDtGO4MIKnhIBILbBs00P7j0d2vDKshwQJVEMSL9eSuVAoLyg8M75i6d27/1m5aqlkyZm9O03vHuPkSZT57AwM6INK7JSxAnUDpyVcFZEbb36Tbds/UFiTFSUcp9XVKRHR6lKaL9fISn5oAxAEpXS0rKsrKxDh/Z/+NHaV1+fOXz4gJ49eyR16m4xt6z9mAExhqCeEitHEwDURJmTUBuncSCaCNFznA6gbrceY2/cKhIVJiqKwmRR9qtnqQpjoqiIgf/hzv9vhVT1yfP5fLm5uefPn9+xY8fCd98ZN350j57drEKzqlX1CEb1eBuJAGhXi6IRzV27TigpDTDGZOVf7HZ/94mSKPoLC/MvXj637+DO1WuXTJ3xQr8B/Vq07vz4EzqASJ6zEWKl1IZoBWjC0SYAjRs2avrD9+dLSryZly4fPLBvzeqVGRkZ/foPatGqe63aao+DjdckIhEALEDtqnsz4W3IWYAYkZgpCpTYKLFx6OTQQYgFiQHRFOy2RpVEqo2zLSzcwofFATxntnXetvvkf/Pd/eZuP6J7ygagpahGEHYgqjCoGdHOcW5VA5cHJ0WBUhNSHaIOUIeoB2IixEqIpVJg6EBMIMRFiI2ADiCi/rOJ787/xFvO/H7F65EYY5IkFhTknT17etu2bYsWLRk/blJq6gCbO5mrEg+gJZwV0YjUAmghKmvAyaGDopHnjGHUwqNdQxMIOgEsAMagIABYEG0a3k3QQkh8tWqGBvXNLdt02fDRxlt3bt8vKvT61IokJstqnSMrKCi+eOnyzp07Fy5cNHrU+L5pgxy2luGaWAJ2gg4kZvUUFTgTED2Q2I4powqLg0hVFElRA8ZH3OfQZwUzVMGN0ZWs/YcOrFy7fMqLGX36pzdr2fXxx1WkCog2xBBPiQ0gtv6zTU/+kKM+3bIs+f0BWWKq1p/KMrUjWRSlkpL72VfPff/DvvXr17w449UhQ6Y3bzbw8VqJAAZCnABqbGgHdAJxAU1QJVoIxicnj7t5u5SpIagiyUyWmSyHgtVfN+M8rJaKMVlRRFH0er337t07c+b0zp07ly1bNmVKxqCBA7p2696iRcfYaJeGa4yg5YmNBlfc4BdH0E5pAseZAOo8VSdm05adAYX5pQethv/Lvf6vxt8Zqdu2bXtnwYKx40el9u5hs7es9iukqh2uagSka9E8vdzjY38eqYzJsiwWFeVfynyA1P6D+rdonfT4E/EAUTwVCFoIERCtAAkcbQIQGR3dMienoLTUc+Xy5YMH9q5ZvSIjY3K//gNbtOpWq7YeIBZAUAV4CHWgxhGUIyAGQAMQS9CIOyjN5SDgIMRGgkXdFpVEBFyUOAhaeN5EaCOAOnZX8sbP9xSVStJfJBb5iI1/1xBSnQBOQAcQG6hu2CAg2hFMBMwa4lZtVAhYEQQCVgQrgoCg3isBwKrhXGGaJpQkEOImIABENm7w/Juvbbh3u4TJzOdRJFEV8w4UFOSePXt627btIaQOtLm6cOH6SqX+FkALgo1iAk8SebRzaOQ5XRg18qhKf+kRzUT1M0f1l7FStHPoBIiO1ybNm7dh996j5zMv3M29UVKa5w+UqVsaJYhUJT/v/sWLl3bs2LFo4eIxo1/omzbA6WhRNTyegIOAM5TxNwG1ADUCRDub9iwqKWdBuYOALPse5aHwcKQWFWVmZx84fGD1+pVTZ07tO2BIs5bdHn/cooqYINoQhRBS7QAxjRo0u5ZVrF5HFMVAQGShundV2V49XggEpKKioqvXLhz7ds/6DRtmz17QK/WFBvVbUmLA4OGVQ1XwA3AAuoCoZ1nmKmH2qlX1CxZ+rG74ZbW7T93QP6y/8fdzrDgvVv2WsrNzjh377sMPP37ttdfGjhnTs1fvtm07Wy0t6jxp5YgOwYLgVBdIAgJSK4BAiBsxHvDJ0eOm38kv8IpyQJYfDu//5fhbIVUdlZG6YMGCseNG9+zd0+VuW6OGqrlpDUkj2yjnArQBROl17UvLPOw/R2rhpcvn9x3ctXrtsqnTJ6QPGvR886SatbSIMTwVCFpDMlqJlCQCNNLp25WWyiUlnuwrVx6BVCugAJydhrmRC+5Sg8If1IrECqiSyI7gJOAGsKrOfaiSC6wIFoJGgFiAhrymfsvWvf+57dDdgpKicm9A/mt2PQ9D6tBKSH0QpWJQS9uCaEEw8SiEEycBmyqRR8BJIYGCm4KLgIMjTkpsBCpqDE0AMQh6l9B78YLPrl4p8XuY6K9oHZYl2VdQ+Guk9hhkc6Vw4QYAHaHWUI+/GUEgaA+pz0UCRAA0AogAiKHUQHkjoQZAI6CZgJUjzqphzRCsADqruefWr4/fvluWfe3m/dICf6BElDzqWbPaUyuLSl5e/sWLF7dt275w4aKxYyf06Z3udrV6rJoBwU7AhSSkVkGtwJkAohvGNCssLmFqGZESkCXfowrXHoJUf6CoqCgrJ+vA4f2r16+a+uLU9EHDmzZLqVXbAqDm5e2I9tDG3w4QFd24eWmRWgGqSFJAFAOMMeUBUiVZFhVF8fvFgoL7Fy+f2btv57r1H8yaOa9Z07QwjR4gnieOIEmDSA1aRQA4AawcNQFExmpbfXf8MlPb0iqQyv41UkXxgQQXC6VDzp27sGPHrhUrVs6cOTN9wMDk5B4tmnc16tpVr2oFMAM4KCQgOCnaKScgCohOAJ3Z0mn/4ZNMLdhWlP9D6l9zlqoidfv27e+888748eN6p/Vp2jSpdm0rgI6ggGhVkcpp3IgCQKPnnnUVFAZ3YX9+NuL9+4UXL57fu3/XqjXLMqZM6p8+xOnuULVaLKKWowIJHtIJEDzcrOd0Jcsyu3+/JPvKlcOH9j0SqdSK1AxgADRT3kp4K1IzISZCrJQIHDopuCi4CbgICJSYKVH1/3WqAT1AFMdH6o3tR4x+6esdhwtLPeWirzxQJv9BKuTPjEf0+HeLaGAHiKuEVBsQe0gbyUTAyBOTBq0csYW08twU3RRcFBwIAkUbQdWrSqcWhzZo0Dq1+/QPN+y9c9NbVszy7vr8PiaKkt/vVxTxEUjtGkJqhWyKCdBMiMBTW+2aCdFRbeLiWsbFtIyon/jMs4lP13FVq2FEjAaIpdRCiY2gneecCCaCxurV4seOe+PazZJSj0+SRYV5ZcUXPKYL7Zrz8vIuXbq4bds3ixYtemH8xD6905s2afd4TUsQqcGY0RpCatTjT5pv3CliwWS7T5Y8fwap/qLi+1nZl/cf3Ltq3YrJ06ekDxrhSuhU4zETor4SUtUfB0CUUddWNT0TRVFRRFmtv/512ZyiyB6P986d3B9PntyydeuyZesGDppSv15ThHiOChTtAEKwYQQEALuasqM0AcDKUXN4mBng2b79M4pKRFFSG22Zuv1XPVoU5ZEP3m86xGRZLisru3Hj5vffH9+0adO8efNGjR6TmprWKanv84m96jzVhIIVwcFBIoCdoICqshLYed7y8iuri8oDPkkSmfIbM7X/N+NviFR1ibt48eKuXbsWLVo0ceKEtL79Wrbo9uRT9kpINQNYOY0T0QrQuHZt49lzt/6z2UiSWFhYcOHC2d17d6xYtWzi5Mlp/YaZzK05LgohnqCVgLqoWgFcADaABsldBiuMFRQUh5C6PHSWWoFUS8jbPR7AQHgboSYkKitjAbQkKHZnRRAALBy1aDQGSlTf+cY8H1ezlrVRo+Z90iYvX7Xp1Nmc67dzb+beKfEX+5lHVHz/0Ux/O/4QqVqqFrioG3+wIHVQ6kS0ENQhxFLUatCqQSeHTooOAgKCBcGIoON51Xa4flh4XKy2TXKXsXPf3Lh7z9nsrKKyYuYtU7weUZGZJMmSFGBMkmRvQeG9s2fPbNu2fdHCpZWQagTQEWpDNKEqwYUmgmaOGBtFtO3RfXyftLHduw1v37Zf0+e7W2wdnn3OTmhjgEies/BcEB88dYVxNoB6zzzr2PjZvopHTGE+WfErwaSSIkliXl5uZual7du/XrJ06aSJGX16p7donlTnSQeAQMD9IGakAlAzQGSN6vHfn7gSvJHMJyvlD8wUfnefg4/ag42/v6i48PKV83v27Vi+ZumEKZP7DxxpEdqFh+sQDYhCUMZMRSo4AOJat0hTy15F0a8wv6wEKoWNakttQJJ8BQWFly5lHzhw9P0PNr04c4Hb3Z2jUZQYwjWuUFggIAoYzHpZAQVCnIg2jtjCeAGgUc2axvff36FeNIRUNUskKn+Qg/vdZP1+X35+4fnzl/fu3bt27XvTZkxPHzCke7eBbVr3axzRVkMEBDtPEgFsiAIS1dvYXr2668ONOxhj5aIkMSWg/Aap/y/Q+vdEamFhYWZm5t69e5cvWzY5I6NvvwFt2/aqU9cJEItELYuxAJgJp8pCx9aoEb9165H/YC6KIomit6Dg3vnzp3ft2bF0+bIXXsjo1Xt4TOzzABEI8aiWJYJZfdABLJRGj58whzFWXFyWfeXKoYP7Q1Hq4BatulcqohKQmgH1SM1UIwDEIokOCzcANK5o7AGIo2jgqRGgEZLnqlWPeuYZq8HQrlPn4eNfmPv2vA927j5++uy1S1k3r966XVxe4pM8PsUjKX9NR94jkNo9ooEDII6iXbW6AiIAmpHYCLEC6DW8ntJogAYAjdW6eoBGAA0BGlMSyXON69YVDMa2LVr0HDx06htvrvz0853Hvj+XmXX39q2i4iKv+sZJksSYIsk+UfTIsu/RSNUTaqvQSyXEhGAAaBQV1XrM2NnjJ740cNDYHj0Gdk7p3T6ph9XWunbteMRIjho4aqfo4rmmBO2EGBDjAOq26zA065pqhhqQFa+s+EI5a0mUfAUF97KzL+/YsW3Z8uVTMqan9RnQtk3Kc88kAFiJ2h6qtjMFkRpVtbru48/2iMEXPfAHsikPPUstKiq4cPn09t3/XLR80dgJk/r2HxWva01IDIAR0Y7oRHQCOgAdAALljKNGzFLT/bLsV5hflv2KIocuLsvML8me0tKinOycY8d+/HzT9jfnvZecMvKJJ6wAjQiaOGoDMBEUKBEoJ1DOSqh6V80A5rCwBIIWjqgN340c9h7nzl1n6nGqoshMVFjg30GqUknoXZICpaWeG9dvnzhxYvPmL+e+PXf0mHF9eg9t37ZfbFQHnpoRrDxJABAIsakVxIi2WrWbfPb5TsZYQHnQAli5Tuxflgb+9+NviFRRFNXuqQMH9q9atWrqtOn9+g1q37533boOgEgkJkQ1k2NCYkU0IdFVqxa/Zs2Xfx4ziiyL/kB5XsGds+dO7di5fcmS5ePGTu2ZOqJRoyYA9QDiAYxBpBIrohXQVLW67s231zDGvF5fTlbWwQP71qxelZGR8WukmihnA2oB0AE1I2cEjHmqThPB3stk6qzTt4mJax4b20IX306wdnc5e7ds3Ts5pW/f/qPGjJsx6+X5S5d99NWW/YcOn/r5l8yrN/Lu5ZeUen0KY6ISCCi+B5Ur/914NFKdlZAqAFF1Ba0AhqrVnLr4ZJejpyG+Y2xMK4OhndHUzmLt4HQmt2zZK7nLoJ69RgwZNmnai6+9u3j1J5v+uXv/oRM/ncrMuXo3N8/rDQT8ah2RLEq+gOiRZK8s+0Ib/4ci1UCoDdGCxAxET6iRgAmggdXa+a15q99+Z+nkKTOGDR/dNbVnSmrPdh27R0Y5eD4SMY4jAodOQmyE2DnOCqglXExYeKNZLy/z+RXGFFHySbI/1P8TECVP4f3cnKuZO3ZsW7F8xbSpM/qmDWjfrmv9em4AIwEnogMeUNUCEF2tpvndxR/7JMYYU5j0HyD13MWfvt7x1btLF40aO6lP37ExMa0AogArI1VVvLaEV7W8+caq0MV8CvNJsk+Vu5YkSVEColTu9RUXFOSeOX1u+/ZDy5Z/+sLEt+O0bQAbI8QTMBM0c9RG0cpxFj7MTHkjUh3hdEj0gHpKBUAjJVaeEwBiOaKdOmUBqwhUFVnl6R8gtaL2NhAIqHOUFdnvk/JyC8+dO7937+6ly5dMysjo1294+7Z9Y6PbUzQAmHmSiGDnqYPX2BEFAEvdZ5p/teUwY8ynSAHlNxt/JdTD8r8NVP9uSFWThiUlJVlZWYcPH1r73tpp017snz60U6e0Ro2bEBoFoAXQI7VwvB3RAqCnvIHnYwYNnCqJyu+Upn9T/PEbdW1ZlgNeX+nt29dPnzm1fceON998Z/So6e3bDqjzlJOS2KAjIZgBTIBmjldrxYXde08oCisqKr6Wk3PsyJHVq1ZlZEwJIVUHEK3+fcJbEU1IzUgMgLF1n0kcOmzO4CHTBg6ekD5o3OChE0aOnDZh/JwpGXNffuWtt+fPX75y5fsffbzpy607dx08fuKXC5dybt3OLywqV5WAFTW5/Nct1I8Q9+sRQqoNwBZEalAFxqTRGHv3nj58+OxB6dMHD5w6ZMikESMmjx07ffLkl156+fW33l64eOnKtevf/+Tzz7du++bIt4fPXTxz8+61wuK8Mk+x+nYoisyYqDA1RR5gTPy3kWoAoqeoB6j3/POpm77ctWnLlkVLF70468VhIwen9u7eISnZndi+fn0HQmMELUcEAAshdkIEpGakeoDGz0U0P3T4RxZMmgcCAa8s+wNiuSR7CwrvZmVfOnBg33vvrZ354kvp/QYld+4ZF9OcoCE0fRuAAMQOnA2pgXLRQ4e95FeLFmSRMf8fbPzVURHB+f3+O/dunvjp6OatX8ydP3/UmCkdOg6oW9dFUItoJMSuCiEidQAKALratR07d/wgiWpXgU9WPGqdvyhKsiwxFvD5iwvv372SdWn/vsMfvP/VG2+ud7h7azTxSHSIqnO4lSOChhfCNEbAiGefe16wpdauLQBGAdEiMXFEoChQtFNiBdA2bthqxzfHGGMhoxRZzTooj2gFrdCFqfy6SaJSUuy5evX6t98e++DD9S+98vKgQSM7JfWPimpFUY9goeBEsFO0IVE7ns1PPfX8lq0HGWMBRRZDmlOhHznUtfXX5BIeNf6GSFXPtrOzs48ePbph/YYZM2YNHDQiuUs/nb5lWHgsQBSgjlCBqLWKxMJrzAARZlPS7ZtlisICfll1SK0ICtR05EM/jTHJHyi/dfvayZ9+/OKrr2bPfnv0yFlNEntXq2KiRA+gI6hm4c2AZkQDQKOIRolXsnMZY0VFxdlXsg4fPBQ0Suk/pEXrXyOVExAthAqIJoDounWd/5izcvacd//x6luz33jjjTffXvDO4qVL31u1csN769Zt/PSDrd9s3ndgz7fff3v67NlrN67nFxSWlHo8Xr8oPch7ypUcVv7L8QikpoaQKgR1r4mgmgkCmAnRTpy4YPacFbNmvfPqnHdff2P+W28veGfh4qXLl69Zu3bjJx9/tfnLXXt2HD126Meffrh85fyd3Bsl5YU+sURUvKGXQayIDdV9tyT5Cwryz549G0pPTUxNHVgJqQ5EtWbOAKin1ABQr1WrvgcO/3Dk+2Off/nJwsXzp704cdCQvildU9q1T7GYWz1WIx4gCsFAiECIDcBKeDtSA2I0QMO0fpNu3MhljHm9AVEUZcUvyT5F8d8vys25euXYsSPvv//BK6/8Y/CgIV279jSb24ZpjAAGSm1EtaQkdiBWQB1Ag7i4trfv+BSZSbLk85XJ8h/ppVZ0TykKKy8vv3Hz2vEfj33y2cbZr789bMQ0l7N71aqq7aOO5x1U9eBDtQE/+plnEy9dvKPup1X1MsbEUJ+rJIre0rLCGzezfzx5fPNX25Yu/rB/+szHatsBogkVON7J8y4CVo5aNRojkshatQw2e7e27YdExTTn+MYA0UgNHLFQFCjYKdoRTAja1K6Tr18tVBQmBljA7/f7/X+WZbLEykr9N2/e+uGH7z/59KPZr84eMmRUl+T0qMgWFOMJWAg4EOwEBACTitQnnmiy+Z/7GWNisJzhN0gV/w+pfxqp6ipX8ap/+OFHr7zyjyFDR3TpmmZ3tq9RMx6gIVKD6hUKYOJ4O6UWgKinn3Ju+fIoY0wUZZ/Px9SX1e+vHB38fiqKInm8xTduZh8+cmjduvdnzZw7KH2aXtsJMQ7AQMDMUztPbAiqg4AWMLJlm7QSj8QYKy/3XLmcuX/v/jWr33uA1Fo6gCgAE6Hq+2yh1I5gAohs3LjF+x9u3/jpPzd+9umnmzZ+8dWn//x6885dO/ft23/46METP3137uIvWTmXb96+lpt/r7S8JCAFApKodvioGx+ZSZIiKv/bKDU1or5LFYoFMANagFgBraBGqWHG+Qs++eTTnR9+uPmTT7/6cvOWf369dfvOHbv37Tp4+MAPJ77/5cypS5kXr93IuX33ZmFRfrmvRJR9qmxSJeGiCgkCWU0NFRQUPECq2j3l6sKFG36NVBOg6o3YoFOnoafPX8m+nn3sh8Obvtw4751XJ08Zmz6gb0rXHs2bd46MSqhSJS64sKlNCtRGNDbAeIDGYWEN35m3QQ4wRVHEgCKKosICkuwrKy+6deva8eM/fPrpp6+//vqw4cO6dUtNSOhU8/9j7yvDq7i6ttfeM+cEqfCUOg6BuJwTx9rS4hrcqeBQKE6FQot7Ka5tKRR3L+5uUSBGEuJ+bGzL92POCcFa2q/yXs/7rutcQEIyM9vuWXvtte77JTNAPYMxSBCCAQIAhwAKAOQHUPfll/0PHrrOOaeEyg7Hb+8eSiGVUlpcXHz/ftKFy2dWrVn95aRZvXqPrlunuYD1mjpfozFMEAIFIRihQABPgDqN3uldUqKT+WuE6iFg6lKfVmy24vyCrLi46GNHT/y4bsvnE+b5+LVD2BeQP8LBoqDzlweIor+A61Wo4NGgQdf2HQY2a967foP2r1T2Rqg2IE8EvgIyiygUQygCM0C9Si8Hf79gG+ecUU5URgn7o1jGKHfYtYyMrCtXLm/asuHbaVP6DxjcoX1vd/d3BOSFIQBDyKOQ6l+5cv3fg9TnFaT50/bfBqm6ybKckZFx48aNbdu2zZw5c9DgIZGdujV+r93rbwYAVMeiL8K692cSxGCE/EUcYBELDI4AACAASURBVDT4fj5+kfNc0LUNearuNHfF0QlRFUUqLMpNTIo7dHj/94uXjx83rWWzTyr/JxzACyAQoyARB7nAJRALvkaj59QZK/X2Wyy2lKTk0ydPuSC1/3sfdCyFVFEMxTgUIEjAoRgCAWr6+rW9eDnhwuVbF69cuHLt7PVbF6Jir925G5OYeO9+alJGdmpBUY7FVmSXLJJi06jMuMZcqSyMU+pk1CN/s5fa7WmQqteq+Vd4wbRt+7kbN5OuXIm6dv3mjVs3o2Jux92JvZtwJyklMT0jLTc/p6ikyGq32iW7rMoa1QjTCCPaI/Iaj0APIeQ5IDUIkAmQP0K+AFUjI4ekPci3ytaElLjTZ3/96aeVM2Z8PWzogK5du7Zu3SkivMWbb5oQchewP9KleZEJGULALRgZ/QHeCvBtfv50POdcljQdKQiVJcmak5N1+/at3bt3z5s3d+jQIZ06d37//cg33ggDqGkwBApCMIAJi2GAAkEIBPAuX95/+PCZlHJGuJNc8Rn9XDrlStt77178r0cPLVm2avzEmS1bDqhcKQLAS8CBGJmwEIJQgNEYKhqDATwEQ71vp6/V568uq/eQDZpzRVEKC/NS0xIvXjy/c8femdMWt2r+UfmKJgB/gzEcUDBGwQZDBMImgHoCruXv32LAwC8++nhUm7Y9mzbt6OkZUb5CPUD1ADwwBBhwCIZQBMECmAHq+Xt1OHsqmnOuqZwxToj6rI3/MxrOJYeWlZlz7frlLds2TJsxZeCgIZGRfd3dGwvIA0MARkEIgn4TUktT/Sl7hKjlb1RK+W+D1NJU4ZycnNjY2IMHDi5a9N3wEcM6dun6Qcv2tdxDMa4O2AtQAMImwGaDIRSjQAM2A9R9p+GHd+NzOOeEEIfDoQfvdSHrxzb+lFJN01RVttks2Tnp0TE3du/ZsWDh4k+HTwrwaYORD4BJcL0/H4ZTwf2VyqbL1xI55yqhBYWFz4RUFCAIIRiHIggRQJetrxkS1DUzU01Ly0tNS03PSM7Mvp+bl1FQmFdUVGKxWOyOEkWRCJUJlTUiESpTVnp+omexlGEC/ivsD0JqMIBf+YqBZ8/dzc23P8jMycjMePDgQXZ2dl5eXn5+fmFhocVikSRJVTVN0wihhFBKGaWMkEe0bx8zQmhBQVFMTNyBAwcXLVrk5EsNb+fKSw12QaoZoUAAX4AqkR2GZudZKadZuWk3b1/at2/HiuXfjx83qnevHpEdOzdt2t7Tq+GLL/kKgo8gBguGcEBBACYQTSAGGIz+AFU+7vdVbqaV84d5nZJkz8vTy6APfv/9dyNHDu/atUvLVp1r12kIUEsQfDE2A5iwIRwJwQC+CHkbjQH16rWKjc7Sr/MstHksZ1PTtNzc3NtRt3bu3rF02bpPR0wNDOggCn4YBRrFMIMYipDuWQcay5kBar34SuDZS4mcc0pd5/tU0zQnrZ/DoWRlZd2+fePgwUNr16wf8MnYKm+GANQFCBSMEQBmjMMMbuGA/ACqV68RMXrszG+nLRo6bFz37n2bN2/7TuNWVasFC0ZPgLoIfA04WIBQAcLL4YYGZAaoN2TAXFsJ5ZwTjdI/yKevc2NnZT0KqR37uLs3FHBdDH5PQKpf5crhu/Ye55xrnBCuEU7+D1L/glgq55wQUlhYmJiYeOrkydWrV4wdP7p7rx4t27X3N79TvmI9gHo6ZRyAP4BZwGEVjA0Q8qxQwW/G1BVOFlGHQ9OcdNSlwFr2LqqqyrLDYim6n5p46dLZTZs3ffvtrE6RA95+PQLAS4RQEcIR6JTAAYBMeuJ64yZ9Suwq51zVSF5+fuK9hONHjz8VUnW5KgHVRxAGEAxQKyy0uyxxh53b7A6HZJUUq6JKmkqIyl27qrKhxkc+z5MS+EeNPVMo5amQGgTg7VbeJyrmgUq41W6z2S1Wi0WSJEVWdHusk59xV9efrryY54JUFAxOTik/gLc6tB+Sk2flnBeU5CYlx1+4cHrHls2zZ00bPmxwr9692rbrGN6gRY1a9QFqA3gjMRyL9QHMgAMBB4g4AMD91f+YVy3do8pMV87mnMqyQ0/dO3HixKpVK8aPH927T492HboGmpuWq+AJyAMJJsAhSAxDYhggf4QCADzLufnPmLqOEvawac82fe9vs9lSUlLOnz+3YeMvs+csjYwc+vqr9QG8dBUTUQzFziiHFxK9ANVo/H7fzHyZUq6qeiiWqaqqqpRoXJZoYUHJnTt3jh07sv6nn7/6YnqD8DaCUAOQL4jhWAwHFIQF3UWtXaGiT7+PPt+15/TKNT9//uXkQYOHtWnTpnXrTubgFq+8HopQPQBPEZsECDFAfTfUyIjCAXxfe7X+pvVH9Nb9Rqr/MybYk17q4P8PSFU5V/Q48v9B6h+o8S+NN5WUlKSlpV28eOHnDT9O/uarj/r3a9MxsuE7rV57ywSCBwgBgE0IBQAEGA0NKhgblRPDAGoH+rW4eOE651zTNFlWSh+4lARINz3MKsuOvLzsqOgbBw7sXrZ8+YABwz08GpQXvRD4YQgVIQJBMAKzUQwRxWAAD2M5v1XrDuhBQUJJYVHBMyC1DiB/AJOIw41CQ535FKBOWHB3V1yCP5Jp50RL8sTRjVbWLWXOYOpfRmn+bEiNAPB4PJYKZgBvg5uHrj2lUZUwRdMFWjjX09HK+NGlAVOtTEMeTTIshVSNFRQUl4HU4V269giOaCOW93FBqpM0AKFgDEEAVSM7fKqLTttlS25+1t278WdOnvxx3dpvv5k0ZMjATp27NG0eGRLW5oUX/QA8EQ5ChvoghIAhGEQzIN/yYhBA7ZCgDqdPRJedEjabLT0t/cKFCz///NPkyV98MqBf5249G78b+fpbwYDqIByAxBBAZsAhIARjUa+L9TD5tz95POp5OlzTNIfDkZ2dfevWrUOHDq1YsWbI0An16jYRsDcGk4DCAEwIBQIyAfgD8gao5/aCz7I1eyXCGeOaRhljlDFVpYxyVWHFRY70tOxz5y5s2rRp4YLvI9v3euWluhjVEo0h2K0hwroIShiAD8aeHzQfuP/Q1avX7+3Yue/775dMnPh5zx7d27WPbNaiR13PZm7lvBHywNgPIFCECCNqLKKI8mJDgFrvNvzwXnwW55xS7Vk028+YYFxyaJmZ2VevXdy8bcPU6VMGDBwYGdnTvW79/4PUR+wJSC1OSEg4der08uUrxo4d36PXx81b9qpY0QWp+poEneUkCKB685bDsn8PUhljNpstKyvrxo3r27ZvnjN/+uDhAyK7dGzWqn2tuuGCWz0k+iIhUBBDEAoxGBogFCLgEAx+bkLt3j0GZ2cVcM5Vhbh8EH3Ba65TEUKpqsh2i6U4+X7ahYtXf9645atJ0xs17lCuXC2MPAVsBgjGEIEgVMDBbsYwozEMwD0svEtGRokOIZQRi7X4/v3EUydPrF6lJ1F90uT9Ti//xwegDgJ/BCYRRxiFRghCAEIA6gQHdXY1k+vzREdJqul7RkKpRplK2WN4WkroxqnGNZXRv4M25QkvFT8OqcEAvgajl66QyjilTNPryrkzUKi5kmyoXmxDmbM5ugQ8588NqU6hFL/HIBWjYBGFANTo1HFUbr6Dc65SapccWRk5t2/G7N97YOnSRePHj+rVu0fbdpFNm3fx8WtWoZwfgC8WQxAKAhwIOBCBubwhwk0MBKg2aMDXxUUS507tDVmWdRWy7du3z5w5fdjwId169m7Ruls9r0aioSbGXoIYDCjQWSSKgjAOQqgeQjV79hyTl2t9onv1Ck6XZ8eYJDmKiopSU1MvXri4efPOr6fMafxel3JuHgCeohAu4PoAwRgFYWwWRbNg8AVUyzewRXJ6sT5nKGGaRvVACudckpTs7ILY2Dt79h1YuWrtuPFTvL0aI6hS3s0fY7NLD8KEURBAvVq1Pli1en9OrhIfn3zq1KnNmzfNmjVr2OChHSO7tI/sExbRrvJrvlioiVBdhHwRhIioIUBEBcN7boYwBO5ff7VMUTXn1GVOohbXTH7KzNLPHhllDoeSmfng6rWLm7eunzp98oCBgyIje7u7NxKQB4ZAjILLQGowgE/lyiG79h3jnBNOCFddxwmPnU3995/4FyckJJ46dW7Z8rWjx37evVf/5i36VKzoD+ALyAQoAHCgU4MPmwGqN281NDvH/ru30DStsLAoPj7++IlfV61bPHrip917d2vdrkNQaJNXXvUFqIWxL3Iem0TodU1ICACo+fJL9WZMWV6Q7WRvYxonGmFUBymFUjtjEmMOqyU/PT3tdkzygSOXp0xd0fCdHhVf8AWoLQpmN2N9AYcjpNM/BwKYBMFcvnzAujU7iwr0AByjRLVYC1Pu3zt1+tdVq5eOHTdGh9RK//EGqIXAV8RhCHQdyjAEZoBaZlM75yM9jA1pD6Hl4dHNI0j699lvn/g/hFQhCLDOYBRoLOeXmPyAl3noZ137ieY80wihBQWFMTExBw4ceHTj70yiAj2WCmaMggUUAlC9Y4exuXkKd3VfUYF0PyXn0sUbG3/ZOGPmlBEjB3fv3qVlq3aNG7Wu8obJgNyN2FfEgQj8RDC54QYIgl+oEIGQxxuvh23dfoZQrqqccU4oyc3Pu3Pv7pEjvy5btmLC+C+69+zTpkPn8PrNXqnshXBtQfDByIxRhE69iJBZdDMD1DK61Rr7+ZzCIouz8ZQTjaiqTDSFM41RQqmmKnJhfn5WZmbCvYRfDx2bOfP7Bu90rfiiD4A7YDPCYQjVRyjCKDQSccgLL4QLQu3yFerM/+4Hh6JnS+nvMU4IY5xpRCsqKU5MTjh28vj6TZunzviuUeNOBtFdL4YWUISAQo2G+kYxGIOHKFQb8MmX+fmyxeLIy8u9ezfmxLFff1z745Svpn7Sb3Dbdp1aton0NzUoX6EqguoGwRfAjCAMwzug02CDe806TfYfvUQZ14jeOi45tNJA+WPvSM6Z7k4ypjgctsystKvXzm/e+tPU6ZMHDBwc2aGfu/t7AvLBYHYlUYUABGIUDOD9auWg3XuPcc4pVxnX08VKJw91zqi/F1H/J0Hq0uXrRo39QofUFyr4A/hgMAEKcKlcmACbAKo2azUkK/f3IZVSWlJiSUpKOn/h9MYt66bM+KLfgD6RXTo3bdHew7uh0a0ugDtCZoOhPsb1dTI9JAaKBl8B167yRsiYkXNjb6eXvSajlFKiqLIsyXa7Iz8v/9691F17z40et8AvoF25Cr4AHgI2IRTsZmxoFOsbhAgBhxoMYQgFAtRp1XL4/aQszjkjlGkaI6rFUpCQGHvi5KHVa5Y8hNRKPgC1XZAagiAUQTCCAIBqZlNb55M43/R6rJ383W/dZ9mzU/1DATxckGoGIQhwmAtS/ctA6l/zzGVO/J+EVF8shAAyISEIkMkFqTU6dhibmydzpy/EHTaal2OPj0s8dOjQipWLv5484ZP+fSMj2zdr2tYc8N5rlfwEcEfgaYQAIwSVExoIOBzARxD9AGrXb9jtpmueEEZLrNaMzMxLly79/PPGaVNn9u8/qF1kx8bvtqhbL6xcuToANTH4iygCQQRAGEAgFk3Y6A3w9suveg8c/FVM9H1X5+oco5xoVJEUSVJsVik3p/hO3P2dOw6PGzWlUaMOFV/0AagByBOJoQjXR6iRgN8BCDEIugbM6y1b9UtIzuScy4pc6hUSQlWiWmwlaRmpV29c3nNg/+Lla3r0GfbmW8EAdQQxCKEwDOECRAg46OWK9QGqhgVFXrkUr6lckuxWa2F6WtLVyxd3bdu1YNb3nw0f161bz9bt2jR694Pa7iY3t5oI3EUchFF9gEYAjbDQAKEALNbp1GNcUkYh55wonFGuqc6Qj6Koj7BFOXdgKucyY7JDsmZmpZaB1CGRHfq512kigG8ZSDUD+GMUBOBVuXKwDqmMq7wspLJHX9O/90r//7H/IZCacOrUmWXLV40eN6F774+bt+z1QkUfAG8MJqRDKvgDCgRsAqjSrNXgrFzbb99Cz06VZTkzM/PW7Wv7D+1YvHzesFFDuvXu0bFLrwaN27z+hgmgNkL+RmN9jMOcDKTYZDCYy7uZENQWUN0G4T1XLd0VHZWYm20tOwCF+TQ6Km3vrlPz5v7YrPkn1as1BqgJUMsoBrxQvoEoBAH4G8WI8sYGGAVUKB8CUPftt97dt/eq3njFZqOqxhmxWguTU+6ePnPM5aUOaPJ+l0qVfAHqIPAVcTBysoiaEPgBVDWbnaLTj3qp/w6e8qdDailtSj2s87oiMzjZvkMB/IzlfBJTdEjVn/8vePJnQ+pjJ/6mMl7q6Nw8nXjMKSQnOWhWZv7169d3796+eMmCMWNG9OzZo327Li2adfV0b+wm1AWoY0T+5SDYgMIRCkcQ8ELFUEGoC/D2hAnz7Q498sIsNkduXl5cXOz+/fuXLFk2ZuzYHr16tW7TpWGjtm9VCRJwHQH7iSgYQYggRACYEPgKBn8k1AV4G6BqWFjnFUu33bgWl5NlKds3JcU0Pi7j4P6Ls2esa99m4JuVTQBvA7gD9kBCABJDAfQeDsM4BCN/gGpVqoTs3H2Sci6p0sNiUEY1othla1ZORnRs1MEjh9f8+PPYCd/6+DfBuCpCdY3GUL3QC0GwUQwWkPdLLwYsmLuBE67IjFJKNLm4KC/h7p2zJ86sX7Px28kzBg4YFNkpsmXbyAaNW736mjdADREHGIT6APUBGgKKwEIQQM0XXvZZtGKnqhGqcVnSj/UY55QQhdJHozrOjb/KmOZw2DOz0q9eu+Da+A+O7NDX3f1dAXljCMQQhMCMUYBeUwPgXblymAtSicvhYGUuTjlj/2sg9fTJZSuWjR43ukfvfs1b9nyhorcOqRgCEA7Qq4kABwC83az1oN+FVN0IIcXFxQmJd06dPbJx87ovp0zs90m/zt17fNAs0tuvSYUKXgAeCPkDmJ3kOsiMcKBBCConhhiEAIBaAniaAjr26zN5zszN61bvXbtq76KF276YuKxn93HmwPaVKgUC1ACojZEnxr4GIcgohgg4GKPACuUiKpQL1xPLK1TwmjZ9o8VKicqYpqqSg1PGqFZclH8vIf7EiV9XrV4+duz43r0HNWnSrVIlf4C6CPxFrCstByIIQOAD8LbZ3MrZaU5IIv9AwfJv2G9DqvA4pAYB+BjLeSY5Y6kae2RT9uft2ZDq64JUM0JBCMyCE1KrdezwWW6eTo+rEyRzqvGSEntSUvK5c2d+2bT+26lTBg4c1LVLr8j2vSNCWr9Z2SSiuhi83MBsgFCAEIMYZhTN5coFAFSpXj1027aThHLKuM2u5OYWpKTcP3fu3IYNP3/z7ZTBQ4d069G3RcsuJnPz114LEgVvBD4AfqIQinEwgC8gH8HoL7gFYNEboLaIPDzrtuzTc9LsmRtXr9q1cvnuxd9v++qLpV07jwoKjKz8n2AEdQDcReyHhADBEITFIEAm/fANgam8MQygTvnydafPWJ2da6eM2x0WlUiU6QWvqkYcxZaCxOR7586f27xl17fTv2vess8LL3kD1DSKzuRZN1xfxCFuhiCAOj26jE1JzFVlJut8BJzKkiMnKyvuduzBPYeXL1k5bty43n17t4vs9EGz9h6eDYxGd4C6Ig7Gujw1hCMcIghmgFre/u0vXb7DOXedShLKFM4Vyh4rG9M9ScIYcTgcmVl6LPXnqdOnuCC1sYA8MfhjFIggACM/AC+MAgF8K1eO2L3nOHcGT8t4Gw8hlf5vgNSShIR7p04fX7Zi0ZhxI3v27tOiZY8XKnojJ6QGYqQvThP6g5DKOZdlKTMr7drN8wcO71y0ZN7I0Z927dmzeavId9/rWKNWfTc3LwB3AG9BCBbFUAATxkHljQ0NOFRAJgwmjHSiuRoAbwG8BfA2wJsAVXXpJwAPAfuKosnNEGYQQnVXF0OQUQwVsQkjT4BqbuVq9f1wQtJ9q6RwRSKusyRGiVpUmH/nTvyvvx5evXr12LGf9+49pEmTHpUqBQLUQxBQBlL9EXgDvPUopLLHJ80/bk+F1FZPh1Sd1d/bWN7DBanK3wupEW2dJ/44GFAQRsEYgkQUIkIIQLXIDiPzdEjlhHJCKNc0ZrdLmZnZ0dHRhw8fWrps6cSJEz/8sH+nyJ4fvBdp9mv+2ktmDO5G5G9EoRiFimIwIB+jwR+gNsCr4eGRSUmFnHONsKJiW3Z2bkxM9P79exYsnDt+4oR+H33SokVkk/c6+vp9UL6cF0BtAE8E/hgHI6yLsPphIdBgCBKcZE46SeNbAK8DvA1QBeAtgBoC+BjFAIy8AXx1Ih4sBCMIBAjQib4Q8sHI3Wis06fP+ITEAsq4ze5gXFOpg1BJ5yS0O4ozsx/cuHVzz94DK1f9Mmjwl9WqRwDUEAQ/oxgKEIRxaAVDw/JiBEDduu4tjh6+yRm3Wx8KixKVWIutGfcfXD53edvm7TNnzvh05PCOnTs3bdqmYcPWb79tRqgWAj8Rh2AcJgqNAYJFMQyhAIAaQ4fMsJXInHNVoZRpimaj1MGYxLn6xGRgjDGHQ8rMzLh67dLmLRunTv92wMChkR36ubs3FrAHBl+MAhDyx8gbwBMjE4Bf5Vca7N5zgpddFQ+3/Ox/GaSeOb5s5Xc6pLZs2ePFij4IfAQwYzALKMhJjodNzwmpD5kXCCkqzk9Iir1w6cSmretnzJ46cPCgyM7d27TvHh7RplqNCGfyhxAgiMGAzAAmBMEGIcyAQwQIMgjBBjFYxIGi4C+IJlEwIfDD4C/iICMOFnCwmxjhJtY3Yv0TYcDhAgQJ2E8UvRGq6eZWtWv34Tdup1gdTFYZ0w/dKeGMUk2T7Lb09LQTJ06uWrVm7Jgve/ce2qRJz0qVzACej0JqqZdaduP/l5Xq/2l7BqR2rlk9DIGH4Mxb0jNSdUj1cfunIDUkoq2hvC+AL8YhgIIFHIohRIRwEUIBqneM/Cw//yGkUkoJYbKsFhYWp6amX7t2ffv2HQsXLhw1akyPHn3btu7a9L2unnXeq2j0NoKPiMwCDgMIQOAv4ECMfY0GD1GoNWfmT/l5ds65otKSYmtqWuqFi+fW//zDrNmzPh0xsn2Hrq1adW3cuH3VqiFubh6C4ImQF4CfIAQJYghyJpkFAPgbxVA3Q6iA9WhPAAaTUdApKP2MYlA5Y6goBGE9ToXMGIcABGAUgIVAgHoAtQRctXPnYZcvJygqJ5TaHTZVc3CuMaZwriqqLa8g687duF+PnVi9euMXX8xv3KiX0egJ4G4QgjGEAISJYgOMzCIOqFghYOKEJUUFRJG5KjN9znHOGeGqQy3JL74Xe/fEsWNr1q6cOm3KRx9/2LpN+1atOpuDmr30ki9GniIOFFCIUWiMIFRnxQao+1pl85aNR4jKVJUwSjUiEWqnTkh9PLGJMe5wSJmZD65eu7R5y6ap06cPGDA8ssOH7u7vCNgDgw9GAQjpXqq3E1IrN9i9+yQvjR88EqItFRn4XwKpp48vX7Fo7LiRvXr3adWi50sVfDH4CmAWwCxAMIAJgy7f9HbzVoOyc34HUkur8hmjDsmam/cgKvrq4SN7Vq9d/sWkz/t99HG7jt1atuoWFt7m7aphgugBUA9hf4RNgMyCEKIT8WGkU1UFYGw2iCFGY7jRoL9sAxAKFoUwAenVTREi1BdRuAGHGHCwAZsMojdAdYC32rX/5OKVuBKbapMUyihnKmcaJyqnVJFka4klNTX12LETq1at0yH1/fd7VapkckFqiC58giAQgR9AFbPJBamszJT493D18SSqyZM/+XhQm1Zda1aLwOAlQgiAGaMgjEsh1bdcOc/kZP0wR32aY/Jn7KmQGhrezqgXpOJQBKEiChcg1OCE1BqdO4wqyHdwzl1BRr08hNntUn5+cVJSyunTpzZs+Pnbb78ZMGBg507d27buEWpu/VqlQCN4IfBBONggRog4GCMzRv7ljP4Y6nh6NDtxLJpzzii329ScnLy4uNgjRw6vXbt6ypTJH388oH37bq1admtQv031GqEGg7tOVIbAVxCCEXLKjSDkJwqBGAfqsw6jEARBAg7DWIddvTjF+SdCQVgIBQhA4KtviQDebNHiw7PnY6xWJsmKqmqcE02zK4qVcY1zYrdb0h+kXbl2bcuWXfPmrurSacR/KgUB1DOKYQYhAiAIoXCMQhD4A7i3bjX86tUHqsIV2aXM5xx4zjSm2pWstPTrVy7v2LF58eIFY8Z+1r17j7btOrVo3sWjXiOMa4vYx00M0Q+RAEIwDsc4BKDq++/0vheXzTmXJU1Pk6XPyBV1QWrG1atXNm/eMnXarAEDRka2/9jd/T0Be2LwRWBCYNLBFKMgAN9XXqn/bEgleuXvfyGklmoh6P+wWKxJSUmnT59cunTR6NEjevbs07J5j5cq+ArgY0DBCAJ18hFRCBJwIECt5i0HZmaV/O4tSnPINSJbrQVpaYnXb1zav3/XkmXfjx03tnffD9u079a8RbeI+u2r1YgwGOsB1AbwwjgQCwEYByJsFsRQgzEM42AAfwATxs6ie4CgUq42DCEChAoQKkAwBn8EPhg8Aaq9Wtm/V88Rx45fLrGoRRaLSnUEkTlXOFE4JUTVLMWWhITEY8dOrl75w/hxk3r1HNK4cdf//McE4I7B33liDsEYBSPwA6hmNrV2te7fh1S9hx0OR2pq6vnz53/e8PPXX3/9yceDWzbrXKtqhAg+GAIBTAhMCAUIOBjAhJH/CxV8UvQTf0YZlf+Sp6eUFhUVxcfHHzyo56WO6NatT0hoW6PRF0GgQQgDMCEwYwjWBQQBanaOHFWQJzmbQQljhDFGKdc0arfLmZk5N2/eOHTowNKli8eOHdO374ft23Zr3KC9T713K5Zz0qmIQrCAggSkFxx7CeCNkXuPLmOzMko445KdOexqVlbO5UuX9u/bu2LFss8nftGv7yedOvZq3bp7w4btqlQJqljRE6AmgDtCgaIQCrokBSfvAwAAIABJREFUmtNXDQAwYyEECyEIB2EhGGNdYdeEsVkQdHgNFHCw0RBiNJoB6gK88dqrpl69R504eaOoWLPbiSTrBfUa54qq2gnR7HZHbm5ubGz80eOn16zZNPLTb7w8WgC4I/A3Cg0EXN+pewpmAI9qVRtt3XJWVrjk7Cd9xJ1aW5xyrtGSgoKUhLunThz9ef0P06Z9M2jQwM5durdq3TEk6IPKr/gC1BIFHwBfQU9cQaEGHCaAdwU3n2mT1zpsmqpqikw4Z4ypTzsVYJQSh8Oup/pu27Zj+ow5gwaO7thhQO1a7yGoh5Gf0RAKEIhQIMZBGJsAvN58o+GePSc554Q8hqeMc40zjTPyXwipnDtz8nV31UnEd/bsyhUrxo8b17fPR61b9qr0gp8AnkYwiygAg68Bm0QcKAgBALWbNf8kI7P4j9xLUyRrUVFuyv2Ey5fPbd26afacWaNHj+7Rq2/HLr3bdejbsFFkrToNX3rZ1yB6YuyNwAvAG8AHYX8s6AxSvgAmcFXgCEKIIISKQqhBCC0nRJTDYeWE0HI4CIM3QB0MNevVfWf82NlXLsVZShSL1S5rDsYVymycS5w5IZVzbrc5EhKST5w4vXLFmgkTvu7Vc2Djxh3feCMYoToGwV8UgkQxFJAZQaAomADqBAa2dLXob50Sz9mrTkhNS0s7d+7c+vU/TZr09YD+Q9u26u5evYGIvDH4GnGQQTRj5IvAFyN/AflWKOeZnJjOOaeE/aFCmt94DFVVCwoKnIK4CxYMHz68a9feQUGtRNETga9RDNU1WTEEYjAbIAigeufIUYV5CuecUh0qCKXO6jhCWEFB4d27dy5fubBjx5ZZs6aPHDmye/c+rVp0ef/dzjWqhRkNXgj5I/A3iMHlDKECMiHwM2BfgBqiUHvB3A2cc6pxu5UUFJQk3Eu4cO7cju3b589fMGbMuH79+nfq1Ktdux7vvRfp7f3uyy97Y1QbwEPE/qJgEnGQftSOIAijICwEGQzBRrcQLJgB9KQXkyiEGAwRohAqoCARBwrYC0EtUazj59/s8y8W3Lx9v6hYLiq2y7JeS11aoMwIoQX5JYkJKefOXt66Zd83U757p1Hn8m5eCDwNQoiIwgVn3XMQgB9G7oMHTUtLlzXCZcUVh2SMMk5Lc/YIk6zW/KzM6Ns3jxw+uHz50omfT/jkk/4d2ndp8m5bf98m5d3qAqoD4IWRSUBmPVRSTggCcPes0/TYoRtcZ32T1KcVqjLOKaPE4bBlZWVev359y9ZtU6fO/vijEW1bf1ivbhOM6mLk80KFBgIOwjhINIQK2ITB6803wnbvPsY515wBtjK7fj3V/78VUnmZcKfFYklISDh96vTK5Ssmjp/Qr/dHrZp2f+VFHwR1MHgJUE8EDwG8BfACqAfwasuW/XOe+3iKc845YVSRJWteXvbdu3EnTh5b/9MPc+fNGTdh/MDBQ7r1+LBt+15Nm/cIDmlbvXrDl14MELAXgAdAHQB3BD6iEGg0BBtwEAaziIJFHCziIAGbRRwo4kAB+4rIV3QKz1WtXqV+z26j16zaff16QlZWsd2uOGRJozLjCuMOziXOVU5Vffdhtdju3Us8fvzkihWrxk/4slevTxo3avf66/4A1TFyx8jHaAwTkEnAAeXdzABvBAQ0dXbdw1jqv4areuavw+FIT0+/cOHChg0/T5789cABQ9q37l6rSgiCOgg8ygmBRqMPgtoGg1f5ciaAWqJQLSUpnfPSiq+/4DEkScrNzY2Kitq7d+/8+fOHDRvWpWvPkNCWRmM9AHcRBQjgZ8B+APUE8C2HTQCvdu0wsqRA5pwTlWoKoZRS9pAd2eGw5+RkJSTGnzj56+rVyydPntS//8DOnXq2b9uzfljryq8EAvIC8BGxv4j9EHgCeBgEL6OhDsCrnh6NL56/yTlXZOpwqHm5hfExcWdPn/rllw3z5s4bP27CgP6DuvfoF9mhV/NmXc1BLau8HVqhghdG7iL2Ngr+GAIQBAL4I/BDyB9jf4wD9RNaAZn0HRtGJgMOErE/QHWAKtWqhXfvMXrlql2Xr9zJyCgsKrRZrQ5N1R4CIaOMcsmhZWbkX7satW/v0e++W9uty6A3X/cDeBtDPRH7GYRABP4APgDeAHUDA9udOXtHUblD1vWoGWOUEE3fXbhS5plit5cU5N9PTr5y+fLWLZtmz5oxYsTwnj37tG3TpXGjdrWqh5d3qwdQAyMPo+gvYh+AuuVEfwx1Aar07PpZRlox59xuUx8C3yOHSoQy1SFZMzPTr1y5+sumzVOmTO/Xd2irFj3r1m2MUE2A2m6GAIwCEAoE5IfBE6BmpUre23Yc5pwzxhWlDLsfp85YEyP/hcdTZY0xpkPq2TNn161Z9+Xnn/fp3feDd9tVfskDQVUMNQHeFqE6QHWAtwFeBXi5Rcu+Kfez/8hNqB5GUSQpPzcvPi7uxInj27dvXbz0+6+nfD1k+PDe/T7p3rN/+8gP32vS1T+gxeuvhbz0UoDRUA+BO0A9BF4YeRuwv1EIMGB/AXS5vXoYPASsJwPUqPSiv49X0/ZtB079ZsWxo9eTEnMzMgtz84pLrDZJcWhMplzmXGbMwbnKmcYp5ZRbS2z37iWcOnV6/fqfJk2a3LvPRw0aNHv11XoArwG8AVAFwN2ly1QL4MXwiHaKU9eSuZKo/rUT/7KQeunSpY0bN06ZMmXQwMHtWnWqWyNIhBoA1QCqAbwBUMl1cl3pxRfqxEancM7ZX5StUOqlxsbG6rHUUaNG9en7YXhY84oV6wLUcolLVweooge4ASp2bDPgQWqB/utUo8xZ++5c1oSqdoclLz/zxs3LO3ZuXbhwwahRo3v3+rBrl16tW3auXSfcWN5DEPWhqQrwBsBbCGoCvApQAeCFbl0G3k/J0lTGKLdZpbyc3IS7d8+fPb1j29YlixdNmvTVp59+1r17386d+rRv3+fd9zr7BzSrWi200st+5d08MaqHQH+jeyDwFpCfQQg0oEADNonID8AToDZAXQF5vfSCv49P046dhs6ctebAwQsxcWlZ2cUFhRarVVIUlZGHEUNGuKawwgJrclLGiWMX1q3ZNHr0ZLOpidHwNsDrCKoB1ASoAVAFoArA24BqLFy4QZK5QriiccKYqhLOGaU6yyphulA140zTVLsjLyf3TtzdY0ePrl614qsvP+//8SedO/Vo2aKL2fTBa6/4uDIWSufDWyLUBnjZKL61aMG64iK782DlEUhlzsgCUxxSSWZW+vXr17Zt3zFz1ryhQ0d36fKxh2cDUawK8BZATYDqLvHw1wFefP0Nry3bD+pXIaVeKufcmab6Xwqpj7ENWa3W5JTkC+fP//Lzz7OnTx09csRHfQY0f7/TOw0jm3/Qq13rft26Dh4xfMrsWevWrt2/efPJM+dv2u3SH7qhc/lSpjiU3Ozc+Pj4S5cv7t6zffW65TNmTh01ZlT/wUP7fDiwW4/+HTt93LpVv3cadQ3wa1a7ZqO3Xg+t9FJAxfJeBuQuQm0R1xJxLYNQq2KFuq9V9qteNcTP6/3Wzft99um07+av377l6PlzUXEx9zMy8gsLbRaLXdM0ygihskochMqMSmUh1WaxJyUnnz175qeffpg2fdqwTz/t3vPDZi06NX6nQ5P3e7Rs83HXHqM+Gz1nxqwff1h/eOv204ePXtSojqca4yrjT41A/UNWCqkPHjy4cuXKli1bZsyYMXLEiI96923XovN7DTp98G7P9m0+7t13+NDhE2bMXL5q9c4tm0/s2X22uND2MPvrr3h2nZL53r17R48eXbly5Zdffjl4yNAunfs1atz+3Xe7N236Yds2A/r1GTt65PR5s9dv+Ono1k0nrl6McTgUzignzMkd6jTCuEqZoqg2m70oNS3xwsUzW7dumTdvzqjPRvf/pH+PHn1atun2zvtd3n2/W4vW/Tp3GzZg0BdffbVo0eKNW7cc3b/v7O5dx0+dulpcaJckVZJkSplslwpz85ITEq5curBnz86VK5fPmjVzwoSJw4aN/PDDgV27fdS+Y99mzbtGNGjj6/duzRqhVd8OrvyfgBfKe7sJHgLUw+CBwcNN8Hn5BfObr4fXrfNeRFinDu0GD+g/cfrMpTv3HLt0Nebm7bupaVmyrBLKCKGEuvCUOp0z2a6lpWbFRN87uP/4mlUbv/pqZocOfd97r/0777Rr0Kht0+bdOnQa8NEn4yd8vmDuwo3rNhzIzC2RFG51UMKcKRGMuVhsmMqo8nD7rFKHxZGXlRsXFXP4wIHlS5d8MfHzgQOG9u09sEvn/s0+6PFu466tWn7Us9eoESOnTvlm6dIl2/bvvrR/7/kd2w7HxyUoskaIpihOfqIykKqLYMuSbMnOybh9+8aefXsWfb94/Pgv+g8Y3q5Dz0aN277TpGO7yP49en42bMS0b2asXbZq15Ytv+4/eDotI4cyphKN0rIbOc259P4rk6geg1SHw/Eg48GNq9d2b9+2fMnCGd9OmjB23PAho4YMGjN29OQZ0+bNn7d48+bdV67EZeU4uLMA8w/1hyuJk3CqcYdNzsnOS05Ovnb98rETBzdvW7942YJvZnwzduLEoSNGDRg0YuCAkf36DuvWtX/HDh+1b/tRm1b9WjTt0/z9Xi2b9W7donebVr06tO3To/uAIYNHjxszedo3C5YvXb/5l32HDpy+fjXmfkrmg/TsvPxCSVI0jbiaq1GqMqZyPd2aEU4II9xhkx48eHD16uXt2zcvWrxw0uSvRo+bMGT4mMFDx386atJXU+bOWrB8y45D5y5Fp2UWcc4Z54qmM0FIjEuMK/8upDLGJEnKysq6ffv2oUOHVq5c+e23X48bNfyzYSM+HTrxsxFfTZzwzez5C37cuP7EmfPxd1NVlXPOOeGyXWHkL4tbaJpWXFyclJR09uzZjRs3zp0798uvJn06YvRH/YcP/fTLEZ9NmTB++oL5K7Zu2Xf1Ulx2hkPPMiCqpjnsnJBSZ5kxyrhKmYNQu6pZJbkkvyAr/k7MqVMnf/llw9w5cyZ+Pu7TkcOGjfhs0KfjhowYP2bC5G+mz1+y8qc9+49fvR6bkVlAXKEMRrmqqjp5OdeYYnMU5eXfT066fv3KkSMHt277ZdXqZbNnzxw3YdyQocP7Dx720YChPft80qVbv06d+rRv16tVyx7NP+jR7P1ezd/v07Lpx62a9W/XelDXTsP79hw9ZOAXk76as3TJj5s27zr46/EzFy7H3U3IzMkpKCq0WksURXYurlJIJZzKXLaR7Iz827fi9u05vGb1hpkzv/vss4nDho8ePnLM8M/GjP9i0rQ581b/uOHwsTMx99JziiSJcIeiKYSpRIdUpmnERQymcKZwqjj5nQlX7Zq10JZx/8HNK9f27N65ZPGSyZO/HTvmy0+HThg6ZOKnwyeNHzdj6vTFa37Ydujo2fi4tPwy1eSK6qBU1TTV1XGlf+lOpaKotvyC7Pj46F+PHVq9bvXU6VPHjBs3/LNRg4ePHDFmwudfT5s+e+Ha9VuPn79+NyXb5iJTklRJ0XQVg4fT5H8RpKqqmpefHxcTc/LokW2bf1y7atHCBbPmzZ0za8achQsWrVy1bNOmDb8e+/VWVHRqWpZNklWuaeyP1DIy7tIS55xwonKHTSkuLMrITLuXEH35+qkjx3dv3bFh9Q8r5i1aMG3GtEmTvpowfsLoUWNHjhwzcsTYEcPGDRsydsTwcWNHf/H5xK+//HLy119Pmj7928WLF65es/LHH38+eODo5UvXbt2Muns3MS8vX5ZlQjRKiU7eQojmVH8kGmeak25c06jGZEnJzc2JvxNz6syxLds2rli1ZMGihTPnLZg2c+GMOd99v3z5ml9+OHzy2M2YqKS01EJbMeGqxhyM2xi3Mm5n/KkJ0v+Q6Y1SVTU/Pz8pKenKlSv79u/74YcVixZ8O3/O9LmzF8ybu3DhdwtX/7hsx76NV25eTEhJKiiy6EevlFBGGSV/8M34NNPPOa1Wa2ZmZlRU1NGjRzdt2rRi1ar53303ffaceQuWzp235LtFy378af2BA/tv34xOv58j2VVOGVElRh2cqYosE03vQ8q5yridchthNlWzWawFqWnJN2/ePHHi2ObNG5cuX7Tgu9mzF8yaOnfmtLmz5n43f9HyJat/Wrf7wN6LVy8npSRZbBZVU+0OG6GqRmRNU1RV5ZQzhSh2R0lhQWZG+p346OvXLh46vHfz1p9Xrlk6f+HcmbOnTZry9ZgJY0eO/mz06DGfjRw1YvioEcPHjv7s84njvvnq8xmTv5o97duFc2ct/v67lWtW/bhly/Yjh4+cO38mOj4qIyej2FJQYi2UFDshiqrKlJCH/inhXONU4pKN5WUXxkTHnTxxdvu2vatW//T9kmXzF86ft3DOwqXzlq1d9OOWdXsO775w7UJCemqOpaTQYlEZJZwrxKkJQYgOcwrnMucyZwonmr6mVLtmK7LnZeYmxN+5eOHcnl27f1j74+JFy+fNXjx71pK5c1csXLhy6bK1G7ds+/XkyejYmPT0VFmxc646pEKNWDmXKS1Tie/8y0nER6hksRakpiVeuXZhz/6da39ctWjJgjkLZ82cN33G/BnzFs9btnb5pl1bTl4+G5NwL7ewWIdMlerVYsyVrlkaSHVB6t8ZMPs3IdV1xkqKi4sfPEi/Ex9z5dLpkycO7N27be+eHTu2b92ze+ehQ3tPnz125dqFpJTEnLy8EmuJ9idkk6kTzfTepBpTJF1yJyMlNe52zKXzl07+euLQvoO7t+/c8tNPq1etXPL9ogXz582bN3fevDnz5syaN2fW7IXzF6xasWL9T+s2/fLTjh2/HDm86/TpXy9fvhQdHXP//v2cnGyLpVhVZEIV5kR8SqlGXefaiqIwRjgnnFGialQjqqwVFBSkpd2Pjbt97sLpI0cPHDy8f+/BA7v3Hty1d//+owdOXz5xPfpqXGJMXnGuTbGoTFI0C+M2xu2MOxiX/24VHd2e+kYvFTq0WCzZ2VkJCQmXL186dvzg4UM79uzetmvXrv379x/59cDp80duRJ29lxydm59ZVFKkaEQlGuP099imS1HhWS+MR5aFpmnFlpLU9LTbUVEnz57af+TArv27t+7YunPX3l279x46cvjs+TM3b1/NyEgrLihy2GVGCSUOzmVO9X878/o415yQwWXOVY3IhUUFqampcXFxFy+eO3R4774Du3bu375l1+bte7fvObh73+G9h44dPH/5bNzd6NT05BJroUO2KppDF1ZQVDtjGuecE8IVhUiSZLEU5mRlpqXcuxt7/cbl46d+3bNv59Ztm39c/8OyFUu/+37hwoXzF8yfO3fOnHlz5i6cv2Dx90uXL125dtW69es37ti+48jBw2dOnb529XJsTFRyyt3cgsxia76sWjUqK5pD1STn7XS+R+LyUiXusJKcnLzExMTY2Phz5y/u2394/4GDe/bt2rFr8+6DWw8e33Xq4pFrURfvJsdnFeaUyDabYtclRko1djjnD71UrnCmMqpyjTKVM8o0hVqKrdmZOYn3Em5cu37qxKnDB4/s3XNox479O3Ye2LP30P4Dh4+fOnX1xpWklLuZWakWaz5lNv0jKxbGHpOGLfVS9XCqJS8/KzH57tUbl46dPLz/0O79h3bu2Ldl6+5fdh/cfuzM4Ys3zsYmRWXkZVolh0JUxokuVlY6rg+P+7lWGgX8++zfPPHXqZ11/d7i4uLMzIzU+0l37kTfjrp569aN27dvRUdHJSTcTUlJevAgLT8/12qzKor8Jwnq2eOjpmmKw2ErsRRk52SkpCTFxsbcvHn9ytVLZ8+ePnny+JHDh/bv37fHZQcO7D98+PDx48fOnDl16dKFmzevRcfcunsnLiMjIycnp7i4WJYlF3o+HQhcqbJ6NJRpmibLst1uLyoqysrKSElJio+PjYq6fePWzVu3om7dvn034U5KanJ6ZlpOXrbFVqJoMuV6XnopK/M/seunZZXzXFvkshSCmqpYLCW5udmpqSmJifdi4mNvx8bcuh11OyoqLi4mKelOWlpiQUGWzWaRFIfGqMqowqnCmMKZ7gOVjsgjKYQPNS3K5GY/khDj6gHGVY1a7FJuUeH97Ad30hNiUuJvxt66cfPGjRs3bt68GRsbm5SU+CAjraAgz263S5KkqiqlmpOI6lEV8dIPY0RVnQOUnZ1z/37K3XvxcfExMbFRt6Jv3oq6eTv6VnRs1J17cUkpiQ8epBUXF9rtVlWVXbUDhDHCqMqpwqnGicY1ymWN2SRSYi/OKcpIz7pzJ+n69aiLF6+eO3vx1IkzR44c373v4I7de/bu3Xf40KFDBw8eOnTo2LFjZ86cO3/h0rVrN2JjY5OSkjIy0vNys0ssRZQRQlXKNMYJY+QRSedHpzqlrKSkJC8vLz09PSEhMSYmLioq6vbtW7dv34yOvRV/Nzr5/r0Hmen5hXklVotDdlD2VErdR8Zd73nuwlxNJXa7VFRUlJmZmZyUdCf+TnR07K1b0Tdu3Lpx41ZUVEz8nYSk5OS8/FyrtUSW7cyl4sMYeZoglfNeurybxVKcm5ednp6alJRw796dmNioqJhbt6JuxsRF3Uu8m5aRmluQY3PYNOfrkZaWbzxtZP/2RfPvQ6oedZJl2Waz6QOfnZ2dlZWVk5OTm5ubm5ubn59fXFxss1klSXouLY0/8gyapkmSVFJSkpub++DBg7S0tLS0tOTk5Dt37sTGxkZFRUVFRUVHR8fExMTExMTH30lISLh//35GRkZ2dnZubm5xcbHNZpNluVQcqUyVwVNuV/pvXWpFkiRJkux2u97wrKyszMzMrKys7OzsvLzcgoIC/fp/ecP/kD1ln1QG4BihqiJbrSWFhfk5+flZ+QUZuXkPsnMys7Nzc3OLigpsJcWS3SpJDlVTCGf61tHBmeSMxj0VUgl3Mk9rhBBN46rKVJVrGidE72DNpZnKKOMq4TZFK7Lbcq1FGZac9KLMzNysrOzszMzMzMzMnJycoqIim82m46miKGU1Gn6jVxmj+jA5HJLFYiksLMzPz8/Py8vLy8vJycnOzs7JydEnZ0lJicPhKDsNOOeUUUoVziTOFE41rlGuUi5xbmeOQqWkUCoolHLyrZlZRelpOckJaffupsbeTbp2O/b6raio6Njo6JjY2NiExITk5JTklNTUtIys7NzCwkKr1SpJkqoqzqd/1J7VFlVVHQ5HcXFxfn6+vr6ys7JzcnL0JpSUlNjtdkWRH1OveK7poRshmqrKkt1SUliQl5ObnZmXk5WTlZGVkZ6V8SAnK7ugoKCkpNhut0mSrKpq2f5/hqK783/1FWq1WouKivLy8vJyc3Nzc/X+z87Ozs/Pt1gsDodDVVVCCHHNjz/UhL/W/s0kKr03NU3TNE3vVpdMnv49jRAiy7KiKKqq6l/qIby/vMv0+8qy4nA4dGQvKCjQR05H9oKCgqKiouLiYqvVarfb9afS5ZKeVPp7Hkgtvak+CUq9dVVR9caqTtNKf+avbfIfMPq0z6OOKyFEVhWHqkhUc2iqQ1UVVdU0lRLCKSOqpqkaZbR06yhxLpc6Eo94oM4lWvbbRNcjpJzwh+m4lHOVMZUxFzc4kzVN0lS7JttUh1Laf6qqL7bSyfZYZz5nx5Z6APr4Eo3ofoA+B3TPQNMeuTJlhDHZ2VY9d4c4fWtV4SrhMuE2jVscpNgilZQ4LDap0CJl5Rdn5hbmFJTkF1qKiootFov+MrA7ZEnWFJVohFH2JJb+DqRy11tclmVd91fTHq6y35i0v98xVHNWWjONE4WpkibZNMnKFImqDqLYiWKnqoNrMmcq0dTHlszvQmrZvay+6FxfaqqqaurDJuj2f5BKn1R2+mesdOmWfR59bSiKIsuyJEkOh8PhcOhbRf0dSB+1x67JylSFPWlPbeNji+F51sY/auxpYOqChscOTwlnCmcKZy4a1zKbMFfIgLgClmop78uj+3qd2oKX0csmjBOmq7zq33HBqH4d14M88tRPdOOzOvZPd3XpWD/rypQRxiTO7ZwrjFHGnazSD/17TihXCZNUzcqonRJJckh2SbUrRCZcplxWiSTJmqYSQjTCdMXw0tSgPwSppdj0G/PzT3UIY7Q0lUUv9yTOQAdlzi+ZKyfUKXjz6IbnNyH1+Z6AlQXT53/H/E32L0Oqbk++JEtnwN9399JhKPswvzu6pT/25CiWPvYfGsjHJoTLT1f/pwArYy5FdPrQOS0bYS3zoZTJnMqcqi5peo0wVaGlRSylXqcOkc5dfhkXtRSfGeVUZUQhRCWEUKJxjXCNUE0jmqZqlOh8q7ILVR9einBOOSnj3T9rjj1H0x/+7mNGXPbYLHr01ynTgxxcI4+IHTPOZc4LOcnkWhrXkrhyjyvJnORwauecMM4I4wrjGmWqqmeMUOpi7S5lyf0TkFp23j75zWc5Cr/dSZRrlKusbNS79KXrfOMyzgnlisZcB2hPdPIfueMzW/d/kPo79tgM+Ad656lD8tu3fnJp/e6j/sbPlC7g51mx/5Q5MwSd3qfOi14KgpQ7s+U1zjW9aFHfBLqqFl2Eaq6vy5w2PQRTfRUyVupvOq+sceLg1MppsfPDijkr4czCmYNxQjiXnUW+OqQyTqgOXVSjv911f3pGUdf2/znGhTFGOFP1fBOFc41xRjVOijl5wIuvSok7rbHr7VFrpduryN0NPOc0l9M4KeFMZlQjxJmr7jqRewhW9I9D6rOe7/9zdunFWbpTSjjT37+PiObpcSEnA5tGn3Fy+5xP+zxtLF1Ef/z18NfY/1xI1e2ffNuwMvGyx/yRZ8F62R94ztnJGHty//VkM0u/85xI/bdZmWxErnCuMq66BAWIkzDN6UE5ldpV7tyqlwkrljmif4wiyAmpGuca4cyVZ8s4VbhWzKUHvCSOZV1S0k9K6Se1nAvceptrKZzmcmZjnGgPBYZ2GFZ2AAAgAElEQVR0tVjCNVYaZ+CP4s7DJj3H/vdZ9uRAlH7nMR+Qc86ZXnvkyk4gjMvFXE7WUg9Yzs7K3DU0b8/A4r39S3b1se75yH5sshq9kxfe4aSQU0nfMVE9WMApc/WxxjhlzClH8NyQ+qwf+P/EZeaES6pyomvvPnyJusaXOuOsVNP/kz3RS8/X52UfryxuPnU4ShfmP79q/mdB6j8JHM+CsKf+2G9MuD86HdmjO/3fvcKfnu5/hbHSTb6+nAlX9Q/lKnXVxTKmMUY4paWeJmGcUk5dKMeoK6pGy2wGGXM5MRrnCuGKwonMuUopYzJX83lBDInfZz39fdGhb3MPfpl1dFLB6Wn2y4scsb+QnIucZHFiZVTTnAUPrtXNHvLPP7X3nrUU/2QHPcOc/0sZ1RhhXKGcUM41lVtSHQn7k38Zen9lu/wfWmrbO/A9nenWVvL6pvlrIx9sGOm4spFb7nFq4UxhlBCii7mQUkgllFFKKFF/475P2lPdgsd+9094doxzjWmEa4QTwihxZkQ50fT/sfeeUVFl67qwY9xxzv3uPnv33m0iFjmLObU5dGurbWg7mMWsiJJzjipmMSdUQBAEQUQByRlJgiAGUFDJOVbVWmuG9/uxVhWlbfdp93fdu8f5eo41HEUhVSvM+cw3Pc9LKMEEYyqEjYgQCf+9k/nX/qf8bBVT/EP3/P3L+ZcvmT8YpP45/ohDhlBEsEcQB4gFlgUW8QhLOUIRj1UIId7+48EUc4DeEwSSoS7lABABwEApsBQYBAzDQypmCRmAnhdsSXhbpP2rM6s7gn8ajFrfF7+h+96mzpgtzZG7B3NPQ98TQB2ApGSoeFVetPsHiEEDAACvxYopSDjAHACR0oai1xFOpX6zmk/OpNcXQPjXELEIwr+G4LmD5xbUHvm2McyOvssCrhWQmCKWEHnE5INE4B/kMikhjPA0Ccchfu8Q1PMxRUhwPBAhjCAO8D99/Ampf47fHGTIW6dCYJWyQCSApIAZIBzIhYmAYsJJpZhFBA2ZpfQ92UqQBWcZPmkjh1QMDAO8KjUH0MfWpr26YV11cFHjkVkoeDEJXcRGLULxy9HdH7tv/tQeuR9VRoH0DVApyAIQfFNM8isBu3/LoAQDwTzRlVAA3Ntfdqfk+NpSj0lNhyZKz3yFzs9EF+fgCwu4oLl9R2a+9plWc/JnyeMIkL4jTD9BLMFYIN0p5vDoHwhSgfLkUT4TyXGy0mO++pjl85uE5TgxwdI/IfXP8f/78SFTSc5JlEVYKcWEClkUQoAMCcLKExSKCa0PIJUA5T+J17dkASiwwDa3ZF7J9PzmkZ1Rs99YadCUwVPjJdemkcg5cHtR7+WFL49/2xztjhtLgEr5AC4BIIApcBgQgo+Sf/4NgxCGEgmimAMAwCBuepNyPsl5Xr79mFc+Y1sDp7QHTmsLnN15eEFHwNxW369qXcaWes7ryDgP0gbCDVDC8bEDoENFDQAgoOofAFJ5uMSUJYBY4BiKWYUZwgAwFDjALGUxZWXsjP/h409I/XP85uBzKwr0Vz4BxVJgCeUIxpihWApECkQKeABQL3A9wPUDJwEOyYFYodSKEr42H5Dsl0KBKea7HQBHul5WhXvd3T/5kZ3xG0+TZm+jd956Hacn9l2awlyZ0X5q+mOvqZVBZgNPkgGJFZJRBP5gkArAAUgZzEh5lkP/22d3j0fun5ZiaVjuavLMe1K115SnnjNeeM2tdZtV6zqlws4oy2lWU+p5YFsIYSnv9fMaZlQoivgY5/TfNigAooSjiCMspgwBXhqYt1s5AI4AS4AlwCFADOXw/xXh8T/2+BNS/xy/OQgFvkW93N6kQAA4RDHChEiB9AHtBGgD0gS0GXAL4DZAncD1ApYAwVTWAklBm4ASwFgwtKggFkexkNwGzLVW51+wDd82Jtd6TKWDyRMbg2qXMa8CJtUdmtAUOK4+YHyx88TCgz91FMSAtG+osEg4XT4Q8QcZHADDYU6CMQEM/Q2VcceCd0+M2a2baWeU7zI212lCruPUIqevyhymlViNzdil/dB5QXNOGKBujlBEAAgWtivKARDyPsfi3z5ksSCCsRToAEAX4Cboq4a2EtpeBr3PQdoAtAeAJYAlhHB/nCfz2cafkPrn+O8GfQ9P+UVBCQEqBegG9Bb6S6EzHToSoTsbBp4C8wZIG0AvTxwilGKZpcv7g0jorCYvtkSAECBZmwIgtL2m4ILDlQ2G93ca5VqYZJuPKbKf/sh5SqnbxKeuY6pcTHJtx+X4rW7LjQJp/5ARLcDMH8cQorwAGqaUwUAoBWn78+Tzl/ZMumametdCM9HG4IG1YaKVSYa1Sa6lUcYunTgzzTSfH7srHwJlWAoMphSxgMVABoFKAYjiPfyDgBPGQDAFLAHSCn1l8DoaFR/lsryYTC/m0UnmaRRpegRsJ4CwL/+PH8M+oIcpHB+Mj7752+PD+kPBz/uwJnHo1ad84P+303j/g+hv/vixv/5vP1/xuv6JW6f46VTx+Niv3hM2kentKF4keb+CScg5cQpyTx+Qod4THJJ9joCnwgdKALVBXwVTG92Rc6Ax2aYt3bo927MpN6jv6W3SVgBsHdAuoFI6pAg/RKuRSy0CBcA8AUf2FuKg/VVRsMfZdUa3NhskmY9L3DMp2WJ6ouXkHMepxY7jCmyMH+43TfVZ3Vx4FzDznjLXB4nx33uHP7YI/m8sf4GdjimHgQIAHnydf/vC/nkn16mG7lCL3qcdvU8n1kL3wT69h+ba8Tt0wraYZJ7cL26sAt55JoQSDogEsBioFCgmChXC/7Kd4zcmNwAgjpe46YTOIubRiY5bG3vClqI7K/Dd1eLotW3Ru7rTjuH6fJD2/HEwlSouGPrBmxSA7w8vBZAADAIMAPQD9APIOnIqZAsVQYNfMMPeX4+CQsUHldp8zOQTt0Z5XvL9gxIghNcKB0IUv/H9AuEPDkKBKlC9Pyk2z/+VHD0QyMsnZciCFTCFvv+jgIpD56xACxEWHv7lQRUOXhn9k2eTAGUE81RMYPkXdGjv4d1nDgMDIOGYXoIRIiAlwAEwWI6dBDALWAJEzHviBKCPQjtAE0AdQBNAj2zKiAHEAAwQTphMYkoZQoj8yjAHFANgKZB2VPewJ9W/K2pb581VPdEre+791B3/c/+9zd1x23sfOJDqm9BXCaiXslQoFSW8oSIPBVAiiCQLkiJCxoURg7TpVdrFs1vHnvlJNWa38e3txrG7xybbTknYY5C6zyDd0iTMTD/Bd0NndS4ApfJ5xN9swn6SMjeVPS2+clJh80Ly+UiBYIow4QiQj22scnOBV4ahmBJEeFK/oF1HBTQh7XVVsadd7JaqHvpx1LUdGiHbRGHbdW7t0Lu2Xu3oKo2rVqvqc+MJ2wuAed6CEEgl/MHJUfXzQqrC5X18fivsjhIMhLLQX9WXd+ztpeVNQdMk1+dA9DcQt4TEfMtEregMXdud6EeaC4H2/0HMa54hIjRyIxQIle9VBCjAIOAm6KuA+gdsdSj79DLzJGjwcRD7PAzacoF7AzDIT2f5faAKlJhh7ysfyoq3AVNFA3LIpvn9z5GflHIStswYomRICUNYCkIbJRlufhRPiZz2KMPAT4DU9/g/lBNqfuiQsSazcoigvKsIqcK1yEuVPzDgyId7Bs/NlP1LAWFAsqYCnzKEoiWKALHAscAg4DBgxa2VAEHAIpASOkiwBAHtB2gD6ABoptDL08sBCCEUM0CkQBBQ2tTLRBbUHkqq9Mus881vOv+0/14jLuyFGgotAK0AnQD9QCSAxNyAmBEj3nXnqFBOSggwXdy7vM6HAW2XVw+en0Ouz4bYJfTB9yR+GSQsY8MXdl9ZNHDHklREQX+jUDUq3FYMmAGCgPJlT7KnKX/MwHu3fU3lcVfsvvFfpXJpo07YNuPwHSahW/Uid+jHmhsFb9I6vt4446oX2/EO+AuUf7hcwuOTIJV/1vxDRhgwBxgB5gm4iBIOE06mTDpkswt/QBUotxQDxRQAAWUJ5aj8pDBlGCLlgACWiOvLs887/+T5g6b74r8cXTnizBqdwOWq/ktVrlour0mLI72dMtMdD3UYowQIAszxexor5+B+pvExSP3ILAfgACQAFAbZusRnwetL3A3eHTIevDSTC/sa7iyBqIUQ+XXvxfn1l9eJK28BagZg/yCQKuUhVZYqwABSABYoBQYk9bQuSZp3bDB+f3/MBmncD/j+99K4lf1xGwfS3NiqcGivAnaAN/GITMhGTo8eJgNaggERYCkwVFZFJwMXigFhYDAwFH5/WRk/tRhZ5EcGgvQDSOJPDAukNUG2SBAhwrKDvodcnwqpSDDXqUwsR6ByYKCYUsGWJICwABsCBMhtDznWv3f+vNH6SzP8V+AVPgVSqWwq84Y9C5gFDoGsuREduoH8ZoMAswD1YoisaD9e0HCqquf0876bjVyWBJ5RaAXolYnpIQIZ1b3rjqQaWt008U6ZdLJo3uWqn2/VWCU2HCjuvvIKRbZCuhheADQBdFHSTwgLBBOOYiTcNyqhPbV1SUFPz29qPDZPevoruDIDIhbC7aXk1jcQuQiHLOg4M7f25MrGKC/U+AQIoTJdPiAYMAsYg7B5yu6urBRAto1xXG99SezpQLMZ9vNGBy7XOr/B9MRag1ObjA/8pGv7rcbh/SufFyYDRhzmUZjfkREf4sWfGE4VlhXvPmFKEQIeWAW1OglhpYAREIIRJhjJJKU5QAwgFjBfNyZgO1ZQL+QoIB5mMaG8GAIhRNzW9zw58+L+wxuN3RePdlyg4rZY667nxs6SRJAMAKIYUQZTDiiihCUc4Y18TAAJQWf+nv1rhgIOCOzjDw4KFFBPW971FNfZaeaqLzyNGg5PbTk9Z+Dat/0X5gxemN1wYn5BwLI3KRepuOUPYqXyVSuE8j4kAoJkdD8pSN8xz++13/NsubZ+MGQ1iVxFby+F+KUQu0Qc+k3r1eXtMZbc45vQVwtEAljGfqbyBghkmCzazUOqnMEt+LSyKBiVZRA+xUoV4E+hGO0X9qcMHGRRAirPW8il3eQmKob3kPdTrFQqQ2HBp8PCns+rJvGyY4JFIDijCrkOgoHwp/X+fUHCqvvvIFUxcvj7h+J9wkPcdYU5LqAqBaAYoB8gtqpreWCSgWvs2BN5ky6VLLxVveF+nUdx7+UafK+JlouhEaAF4EZp73Sv7C8t4lW8CtQOPlYKKFLzyTXwz5tyqnT+1afLwp5tvf/GI7v5WE5jQs3gOwZYIBzly/cJUA5wj/h1TuFFi0f+i94cmDl47Ct8Zga6NFd8ZUH/xTl952f1npnTdmJBhd/C4uPbep+kApIQ+fVTIm8Qq7hS5ZFQAjCIKIsBALEdr3LCjgZunOUyX83vW5HfCp39c0fuWaB2eN/Kwoe3ENvPAAxi4ORgTTBQoeT1E51iKsxB2WwDAkAIcPxeJgVWChzmARazmLCYcgg4BIgnOmCgmEMcS4AFkAAMAPQAdAMMyoqJWApSjnIsAiIF2gm4lnsdn35804FVGj5LVKOtvulOvwjSeuAGgSOcFDEc4QCkQKWUINksFkSsuX9iNv3T44NlSN5fm3zchoOB1pq4kzF7J6fu0al2m/DEbWKFx+SXAbNeeE985T2p0nv2Pdv51bFnQdz5rznp3zsI70Pytj+/D3b3v05/EeFUfWJV+9klJHwlxKyGiCUk4hu4vRSHft1zYV7zxZX9Ce7QnAWkHbBEgdAiGHzD5JF9DPC+4ITM636v1vv3DzmkYv6nIYxQUBF+rxyEylzpD9Mwst9RBfPs99+3X+ZDCAWChIMqxs8IUFmUQjCreOuVF1gSlodgqFNF0SWFg/7G8Sk3Tzh4Q1jejEzWrG0onidEKdtYOJvSMNEhXsk+Wf1Q+ajDj0ccLFI58GjcmaezLz9dcqNiV+LrA6V9p58i87sdBh6Fw+1zhnuW/tW99AvPshEeRSpeRdoBpereBSpeOQaHCoy8kiY43HKOrKjsQiyAhBKpQJbmQNLQmBuSeuCHR16z6/xndh78qu/orO4Tc5tPzWs5MbcpcPobv8nvDs4t8ZiX7v1je34MoF48JMEnuw+K94wPpxMhjCImMIhByrCAxVj8rjbh/OWtM33mj3CZ+UXAKr37R3e1PnlAuHYCpJdAH4AEANMPp+unAA5fxSWlhOUwkiIiQZTlKOIwcKxgjTIsIKGXKgcgFpxEYVFwFKQYGEr7KTRx5NkAqpLiUgkplZIaTFspdAP0AYj5OcV0kN6qweexvbkn8o+tjNiumWU/vuPCT3DHmhZfh55a4PqBMBQI75xK5WFT/sI4MjSVP5u1p4Chv7QM8IcPD3HQ/uZJiN/NreOTdxsV2U/MsByTYWWaZzMub59B4X79bKsJMRazXsaeA3HX5z3vT7lCICALyyHAvD/dD7jhVfq5ZI9vStyntB6ZOXhy5uDpmX1BX3WdmSm+NI+9OKs/6Kv6Q9Nen/lBUnIdpK+A9gGVC//yNwQNG1qb8i9TtINkUPYRlPvvzlqWSnovqf9BIkj+mR+H1w+O917+3oE/SJLyVp2ApxQUTklY0+g9SKWCojzBH24tCs2RPgqp5P3jn4FUIgNuxeS8onSz4PFyAC96wTXq5VinNG2fJ9onG5SPvvq79xPVA8+1jzwXHShT8snSOJBhcjx/3JFCY98idYd8JeeCES75/+WYN8KrVNm9VORVpu37WMWtUMWnWO/IY5HTfRO7yCNprxoJlQDwBwYAQLTreVmEV5z9rFznKc/cp7z2nPwuYHb94Xk1R+bXH5lf7/9VtdP4SuepmbbTUzxXd5TGA+3Dspg65h/1B4+VDOWGQKbVTwgLtBfQW6b0Zr7/93G7xp5frpTptpQrugxMBdA3FLezVCrETeUzVhbV+qS9n2IxYDEFytuYYgAJj5iyZCVFgAkwBFoH6YtB/IQl1RytxdBAoQ2gC6AboAugshefS621uJy582rhttCne++89UlvuFjaEv1amtaBS8W4vHMwu7wk+UHIvWD3pKBt9z3nZLqYvj0ybfDMbHHQgv6Q7WzhNdJYCJI3AD0EGCnl+AQzAlkkCJP3K8Y+y1AQvZJPPHkuRBEIeOse0/b6ois+59aMCVuvG7/b5PZ2w9hdJvd3GSfv0E3aKordon/X7pvmjFAQdwDlfuN7/3WDXze8vYR4igkHMEh7nhXfdI+0mFjgOOG118RXzvpvvMY0HpzyLnB68+Gp7YfGtx8c/8zNuNhzVmdiIPRVA/QDRUQBQCiQYe8BwnsTXcEvez9Z83sGFSKwWPZNQ56+gtMvCypQgmTANxRroe+f2EeyRr9ryCFVxukjvBQZ7ydiWaGfUBaBQZBYInKbSn6SWAHOiYwi8guAULTAP7h7n2jkKxheRB6Wlc0CJBOCYhDgQYD0Bsm6s4907FLUPStVA15pHnit6l6l6/1M3/eZbkC11oEn6v7Fyj75o12z1RwzRTZpGvZpqg4pas6Z2p4FavbpGg6Z2s65qo7Zal4F2n4FWnZ353vfiyxrHpQF3aUySJW+K0s8tuPGDqM0G9Nie9MSh7GVXjPK/WcV+86o8JlR5Tq53G5CtsW4OzsnpAWY9dXkUCpBlEiFhyukoOjQI/1gT0IUi4H0AG4hHSUDRVeaoywbLqxsOvFNmf2UKq+FnTd2cll+6GUobk2h/U+AdgBwQqpR5uV8SngK+L2fIagH02YErzlah6CBQCuFLgAJAK/L3wVQ1iQ9Gf9k943iLbdrze81eGZ2nqmQxDRw2YP4MUMrMcQ0ELOrVaa2cSZOqcYej8YdrJ58vHJ6UMmCKy8WX61dF1Frfrtq39X7DmcueR31CzqwN9znu3TvqU99jBp9DdjTs6U3VjeHmrUleUqfhoP4KUAXR/sZioaqUKlMJ+/TDZxPGoqQqnCQD1ax8H+B0IH2R+HHj26YdPInvStbjM5v1L+8SS90k260me6tdWqXfhIl+a/tf5kOuA8I+xnP+/cPPnwu1PBQmTHF4s6a7GCPqzsmPdg37pHduBIbo0q3SdU+06u9p9Z6T6h1N67zGlvuPDbdadbLCA/U9gRAQt83tjDAMJkhL8vBCEaWPMxJhzSGPwUU+P0LAcFytBryWKnMFGRlnTUwkVliQ2kseWRL9gDlFiP+zdP4QOkLQBBHE8BdiKVyQDgAigF47rEwZRELiAWMCQBflsbIq64UPW6+DIMyvwqpQzVUv7TAP3LCH/zI9wJhFDYDDoADwskyIwgQrwJFgcGAOwDCqzoWHcrQccnVDqhRD3hlEFhn6PtsjFe1sVeVgU+Vvm+llm+Zpk+pnvdjA9dCHcuH6uZ3lc1vi2wTdJ1TVK0StO3TdJwzNZyzVdzz1FzSdGxi1p/Myn7Vh2R+OUsBEwCCe2sfhXv+fHq9Zvxe/XRLo3RLozznSbnu0zJcJ2Xaj8+zGlfsMD1h5/gbmycXnHZkm6sRN8AijgFggCCZh4+FNL+EUAkCwgnOOwYyCKSddj/hXsZ1ZBypCd7cemUlublCfHZe++FF7wK+fnd4YcOpRQ1Xvm+O2tGfEUDqH8DAS2A7gEj56SarzPgEoUiGwpvuwXtlNYfv5HpEl/o8eHkqvz28WpzbzVWIUS2CdwDVFM49ap9mF6K6P1zLv0DDN8fQP2fasaIll6rW3Xy9M7bFvYC1SmW+Plszxufx+MBaff9aNc9naj7VGgdfahyqV/Wr1T/0csrxJ/OOZq0+Hr/R/6K1p9sx13WRjjPzXIxeehm1H54uvbxIHP5dc9gP7Q8c0dt7gN8Q0o0po+AYfRjE+kzj/eIfBgPHx76wfC0OWT0YAAPqfZJ048SuhX4/GB7fZHp4vfGRNfpn1+ld2aB/arVq4M96mcEuXE/Ne2Gz3/10Ps8VyssiFfdfAgNtueHHj2+eenm9wT1z03SrsVl2E7OsxxbYjSl3GlNhZ1DpMrbQYVK8zZzc8/b978r4KyJC1g5jwBi4YbLXCDCiBFPKEcpRyn8VoZT/Feb72n4SpGJZO3EBUonc3maB78lD+UpJXu5S0KaVVaQjoBzBUkIYeeoAY+A4YKTw2/1TeBVFAKCUIoSAYuAY4DgiC4YCAFCMWSklHKaExbxCJAEiBTQImKVAewHqEVQNoudi3IRhUD6FBWzFQFnA0iF1zvfwlFCE39sG+c3pY3dPrlDJtzmjlLIsy2HMyKpExTJvVDpUBYY5ymGKCOUoRQRoA4ITmW+muj4QOWbrBNaKDtVqBlQZ+JebeD+e4F9p6vfE0LPEwOvRGO8SU7diI5ssg30p+vsStPfHiaxi1azi1K3vqdskqzumq7vlKrkXqDql6ttEO9+qet0HFECoMsGAMABAd335Tf+tnt8pn1+rErtb/94uvXt79JNtxj6wG3PPwiB1/4QkiylX1hjf2L3obVIYSLoIYhHm634IBo7XUEYABDClvRzuZQBLKDAYCOEAtdP2R/0FZxuj97ff2jIYvgaHLoOrc8THp3UeXdwU+G3jwdltR75qPz6tPWhGx+XvuiJ2SFIO0ZcPoPcFcF2ApYgSho+G/L6eZgRADFDVIXa7nqy0dL9o4xGtvVfHud6ZH5jy88X8nWGlHg/fXKkdvFjH7U5omRiYreWfr3aofKRv8SjvQlXfYs2AMm3/Mh2/x2OOPJ92rnFucPfMKz0Tglr0D9Zp+taKvGvUvV+peTeo+7VpH2jRP1in71tu4p461f7mKttAR7vdQfsX3LUel2FjVOQwoePkHAhfgG4vb4nY2J11BPrKAbopSBUqkf+lkCrTxmUQIASUIZQhVIjqYp73y8mK4Ts7XmbEBO52WaXvsEzks9b4wHrTgz/qeyxRcVykdN1zTfPLdAqMhALDm0u/rwvW5x28bSdoqMmWJietzog7Yb7Ub7l2yPax0bvH3N5h9NBqbNZ+/QIbg2Ibo3zbsUmWU8It5hcG+zFtNUNGoeDMSCiIh8lV2AghHMYsRgxCLMaI8hUSmAKiFFHMEcT+/o3lVyEVIWDFgAaA9AMRU4p5UR1exBgDJpQjRCq0lqQSQUmeEr7sWkht/aa5RymVQ6qA0RgRSgYBGjG8kkIzhgGZ+YkBkNBxkgPKAHAcQBuF3F449XhwX/xbx5TWi9VsRiepkUILAfFQISSlHPoopFIqK+2Wp70wQdxvdY0mhLAsy0MqxphSQgBzgHjLlAHKAOWAcPxjQAzLSjCv+0YpBng+AE63n5ra39NyydM++EIUWCM6UKF7qNzAr8w0oMLYv1zPq0jfu8DEq2iMS4GBVZqeeZLu3ntaFrHq+2LULe+oWcarWSUq2aQoO+eqehepu6SPdb57+MGrdhaAAmURRRgRYAkQgIGuxszbp11/GuP1ndLVTXq3thre3KwbudPw1h6DKHOTGIuJR75TO/7juNyznpK31UAwx1CE+XoJQoGjwGJAHAABDmgPIf0sUJYCpgCEoR1PetOPv7u+qf3aau72Goj+CUKX4XOzeg9NrvOZ8dx7dp3fjAb/yc0BE9uOTqsLmPjUb+rrsz+0xzrhsjDoqgDSCcAgKqxURQXiXxNXJgAMwDsWzqY+1V3r/cXqgL9tPPu3LZeH7woeveuS2p4L2vsuTfKOnXMq76vTJbODX40981I1oFzJt2y0T6mSb7lKQKXagSp1v6dqvpVaB57rB9boHHiu7l2h4lKq5Fik4Vym5/ZU161Wz+Otvl+DbkC9ls9zHbeCyc53l9ket7TadWj33LA9xnd26sTv1H/pPYFcnwMxKztu/Nye4E3bSwB6BE9oaP0ohpY+16BDgTuOA44FxMpCugIHgmGBGwDaD6QDuDpAL0BS3pwWdN16vs2CL60Wfum8RNl+zj98V2rf8llTXxYNuJUB2srBAO9gKjS2+HfZqkS4UCJ3Qfk3Omurog/buy438F+ufm2rSeg2w4it2ol7dBO2i5J269wzNwneZHpu+4KqhBsg6QLMACmSRL4AACAASURBVGKAyHlWEgSDwxTDlfz2w0fpMABHKUsRohwZKqH4vYOHVCIrNB2aBpwUBrtA2g1sP0VSBIQZonqBBLAYs2JOwiAJpowQgqMMJZjyqSShzdmvfKmCbLvi+xxAJ8BjCVx+ynik91ysEuf2QT3ma9qFpCqHESZYTKEOQWQd2pfU801oy8RLzdNvtC2KaNsY1+aWPXC5WprfQ+s56OXtTvYXlf+8e0YpxlS2HQHiRZsQ+Y2dgCcu8mfOcRwlHGAJoAHAPLmbE8Cf8kppLCChTpkDkALkNaO1QVn6VnH6XiWa/tWiwOdqB8p1Ap/o+JcbHqjUCagQ+T7S9C3Q9S3Ucc3WtEzW2pUg2h2nah6tYn5bxSJazSJOdV/CyH3JSo45Ip9SkXPqV96J14taB0HGHEJUSqAXgZgCg5im149PuWzY942a84LhJ1dqnP1B6/IGwxs7J1zcMsZvlch1qXas366+p/nASoAFxMiLpojckWSBYGCB9lEiwSDjlkk6xMURb65ubTy7WHJ9Kb21krn6bc/x2S0+E187m77w+qrKa+Yz7xnV7lOfuE567DY509okepta5HZRmvusd1HW3NMI6CgGplGWXQfFVhnkV7pDUgAOoAcg8VnHPOvTf1/p+eXGM3/ZcO4vm85/YXZ6+Nagf2w68nez43/bdu6ve66re6YYHCzR8S3R8CxW83ik5lms7l2m7vNY3fexpl+5hu9jTe8SDc9Cdfd8DfdcTbccA5fsMQ55pvaFpo5lJh5PDb2rdbwq9NyyZ7jdWW7lb7H7J99N4y5tUr+6dsTlH0bkWWpLLs6BO+vbL615E+HGvSsGMgCYk/EIyBD3WCHB8JkGBSCAESD+AfLRJ0SBYgocB2gASAcwddDxiHsWyTy+JCk82R7r9NB1wYHFX9hPH+a94IuwXZNehTnAu4cAbwA6pZQdoEMMhQ86DH3GK/nYkIXi6FC+Wb5VDfZWP4w8unuRwzdKJ9boBG81ub5ZJ3qXQYSZRtgmzcvrdc5vnhzru6PteSEApQxLGJZiPh0jJcAwVDyMj5QJhjyWWZUEgFJCEcZShCWIsggwRz+tvpgKEQuF+AvBgDjgxMANAuYwQC+FJgJvAF5yUC2htRy0APQDDAAVUyIlHAKMCOL3MgKyFfkrj0D+bOSRGgogBajHEPsOuecOLAtrmHzuxdLwBvOH3cfLB+68Y3K76RsKfXySisLzLhRU2Ln25puZlxqnRTBTYmFiDBjf6De90jI7tGlJ2Dvz+x2nivoTX4qbxfICxg8hlcqyVzIhXoVSmI+ds2Jnc/5H2Y1igJMC5iglWJaiBMI/SA6IkJHtAYiq7ZsRkKBun2B0qFIzoEozsFrkX657sFLX74m+f7WuX6WmT7GWX4G2b4GGc4aaRYLajhjlnbdH74ocvStCZXek+p7b6uZxyvuS1RxzND0L1W3jvw1MSXjRz/JfigkmFAOIORAjSoEA6anKuHl4x1zbWf848p3o8DIt769VXRdrWn0jcvh+zA2fbS2lScD2AoeomCpkU/gHyBGBtsABFQNlibDpEtpS1XDL7cXhRb0XvmavL+k+v+Cl75QKx3GVdmOr7MeWO0+ocJ9S6jTxkePUbKcZ96ymJ7svyTu2Pt5t8fU9E+LcFjwN3d+Xc5q+TQLxSyAD/Bz4oGv8r0xU4ACedXDbA8OVV7mobQkaaXZ+uNn5LzecVNl2Wn3bKbUdp0dtO/u3LeeVrKL0PLMNvIq03Qo0XHI1XHM1XPM03Au0PB/p+hTpehdoe+Zoe2Rre2bpeWXqe2bpu2Tp2Wfp2+bo2xfoupZpe1aKPEt13VJmuYcu3+ewe+ti97WGp9apHv/+iyPLv0jardF7dj7EmDWcWfvyhhtTXwaYASyjSRCF4rPPnPGX3xYElAXEJw2EjAJigesD6TvS+oipCO9PO9gba90RsvndhR9eHFua7TQ1crMo+MdRkZu1H/t92xVl2595XFodA/1VAJ1UgSuk2OnkszZC/rVLIwC8yOSQCg2fAqGI6axLDz3ovHrM9ql/cVo48uBK0dHvVS+t1zm7WvXQklEJnj+0FkSSnjogEiAEY558zHOHCAtoGCcrEaLyz+cwID7cOQjQT2EAg4SjDINZ8om0FFAgtgKAwK7kuSgATX3s/crm89lvLlZ0Hynvds9vDSzrCn87WDBA6yh0AQwADIBA5/qgNO7j36cAqfxrAlA7iK9W95vFNs++9m5iWM+4KPHEyMFxVxtnXH31c3STXUZv8Gs2uws1MMACZLzum38wVcM9x+hU0+QIMiEaJsXBtAQYfwcmx7ITI3omX61fEFS843JRctWAWFZk815RGAWOUimlUll8Raa48It+u7JzRgjJX3+w/ikAH1QdAOgDGOTDswwiUkQQSAlIAZopHClu0Pa5O9ot1fDYM40DldoHK7V8Huv7VRh4Vxn5PDfweqLrUazvU6jnlaNh/1Bld4zK1gil7REjt4eP2nFTdedNjZ0RGrtua1omaTllabqka1lHmV3ML2hGLPB9j1mMOMGwICzAIEAHSJ+lB+09vEwUtELzyFLtgytNT+9eds17d1bMmebnucB0AmFAylEpJayABvwipQKqIgocUGG3oAAg7Rksja04tqbKc3J30OzOswsqfSenWhql7B9TYDfxsePkAiujUqexuZZGWXYTE53mhFguyLvmQRof4ZaiZwknkgI3PgxY9eLGbpR7EF5HA9PI30De/JfPio88AEqBcEBphxQOhT3U+8FRtDZAef0JlY2nVTedUtt0XHntIdWNx9Q2n1LadFq0J9TQOdXAvUDXJU/bKUvDIU3kmKbllKHjmqnlnK7lkqrlmqrlmqLt9lDb/aGWW4rIOUvFIUfFPkfVMV/VtVTVq0LVs0jPNWGuy5kVu3fs3jTTda3OkXXqB74fEfD9qPv7DHvOfUsittQcX1MbEYAaXwyVTAmBP3mw/jNDKhUQBgGwQtCJUkqAsIAHQdpIX6f2JQc239zVEbpWfHON+Pr3LWcWPwuYUeQ4PsfaNNdqTL7N2Aq3abWBi16dWNV0Y09/9in8JgnYlwB9cmqbYgupz3Ylv3GJhArMDAkAIzA8MKGEBRgcbH9adPf0advvnVaa2ixUt58/0mPhlydWKN/eOaE13hfEFUAaAPUAECIn1Mv2u2EIK4iIIAzsIDAdIH4DAy9A+hJQPZBmgB4KYkw/nZAqkPcF/Qme4QdiMXAEUSip77O6kDTZ+tLMQylLIt8uiGlZEPlm9Z23ttldl19Ls3rhBQttAP0yQ4+hwGBAhP6aC01kv5JBKkUU7la0Lj6ZO+5k5eQbXdPjYdI9mHAPxt/hxtzqGx/RO+lG27xrrzeFVEQ96ZACFLUNzj6Y9p87Y/5imaHs9UzrcNOEy32zb0umRjPTE2DCHVb/0lt116RpzlHXshv6iewqMSj6YiylEkLltUcSxcbIv7xNsneRzPfHiHvd2FHwdiC1iSQ0ojvvmDtNTGo3VCJoAOiXWbuECrUKNf2M1Z1ydecHqi55BgeeavtU6PmWG/iUGXo+NvaoNPaqMnAv0/fIN/bONvRI07C5p7o9QnVz6Kgt4cO3h4/YeVN5Z5hoV5jG7igN6yRt1xyR40Mjhzte92tqJIAAKKHAzzzcA2wrSN9AXxV05A5UXMsLXH13u1HKvsnpDt9WXnJtK38obn0BuBuAAcpSlgWOgIzTD8I65csg5AVhAoECgODuV69jAvLdZ1d7jG8/PqM2cMYDK4PQbZrRe40f2pjm2poW2o177Dwp39ogy9roruX4G9YLq1OuAuoAkIC0uaM4puiSRcHRFe9u/DiQ5iptLOEQ5vP+HCd0vvuVpUsJK6WY9CKIyHo+ZWuA2g9+qutOqm++qLn1oubm86prT4g2BIk2nh3108nRGy7q2jzQd8/Xds3TcMpStUtTtktTccwUuWSLXLK13LJ1PHK0PDI03VK13FJ03NNFrllK9tlKdukq9umqzvka7kU67lnjnW8ttvH+actKyzWm3j+LjqwR+a1SOfCTZorjZPHlZeLgH6sO/9By7wx0Nw2tVAFMZdbJP1Uo/gmDABAhF8YCMLywDWUBi4HtIG8L+h4ebb1u1he8Am4t7z4/v+7wzHLfKdnOYzPtx+Xajc/cb5xlofvYccxL70kNR+a2nP2u/tzqtigLXHMLmHcEow+83X9HOJUKPHUYBBikwKAhGiUmIAUYANzW8+7xs4L7pfcuPzy8K/A7tas/q1cdWCK+a4fKr0BbDkjfAOrjUZXAECV1GMUAhABmgeuDvjpoyJc+u9v/+Hpv8bnusgvdT0MG6hNQdzHgtwC9AFLF/ZF+eJYf5Gh4zhGvj0KFbY9ywCHCEgTwpI0xv5CpYnZqtM0dzePPNK+2T4gSz40dWBzd8nPsO9u01lOPu3P64BUSKgQRACKUkPe6ML53ApQQjPj9j2AMQCUsuZRRo2NzZ7hDlubhFybBvSZhzLhoOvEemMSDyT3QiUAjD1Wp2d7yvlc+CFDZxyw/k/fXHeF/2Ro13Pz+KItETfsMA88CkxPV4663qp+rHxlYMdLpwWS3mEt5De14aLugssITVkAg6ASoZ+mLAeZZv/SlmHvDYEZmYfyC/0IpIRzL8mu+qanp1I073x9KWnD+1eKb7d/d7lwV174ttdu7pDe4pj+3Hb9jYRAAy+IJhe/afzqZKrJ8qGFfqOf6WM+11NCjZIx3ibFHiYlHubFXuYFHkYFntql3uolHspZVtPqWUPWNIaO3hH+5LXzkjjDlXWHqe8JUzSOVrB5oeuSJHJOnet4LKWnpF05NAuK3pKWs53F8a9bVpuTjddFuz67teuS3MM/e9LXPtLaj33Zc2Apl4YAbgPRQYDnCEowoJkCAIkplThUfEZTVI/MCWbyRQAEYaUtZ8bmd2Q7jX/hMfBM47ZH7xEvrRx//aWToXqNE+zGZ9mMzbSYW2E54ZKufsU/jzm7NWI8lb4qigQwQDgMAMO09pbeKz2x4dPCr16EbGgojetoa+MI5jDGfTcTkA0gV5g9BHCVUQqGgTrzE9qLa6gDVdUHKGy8pb7gg2nRZtOGc9qYLmhsvKv14Wm1zsL5tkq5broZrtppT1mjbjBE26aMcclRcC1RcCzTcCzU98jVcs9XtU9QdknQ9MrXdslTs0tRtk0V2iRrOmTou2WNckuY4Xv1h7z6zNTOcf9A+8KPa4R81fZerB/6ok+0+gwtZ0X1hWdmB7zoyroGkm7BAkGJAiSDBR8WfYtx8+ngfUlmgGAiAFEgPtD3pTAp6eXZjx4UVXPDX7UdNy1z10x1MEh1MHzhMuGcz/u5ek0Rzo4x9+jmWmkU2GmV22i+9xr8OnPnmzKKuuP24tZBQhvwus/Sz4ixfriAFEFOQIGA4IMyQ9UN4NpwQrut4UXrF+dyPWve26749+nXv+e/6b2zsS/TiahJgoBZwn1AQyFFgEXDcMEAI8CD0vcBPowYz/AYSrDvv7GiL3dpyb1vL/a0tidubki3as9yYZ1ehKxvIO6ADlGA+h8vJHXt4X0BEnpgX6J58mkqo6ieYIg4DQIOY+sU81t596UvLuC+dsr50LtANrJp49vXUi6+mXXg+8/zThedKNwSXns5+WycFCaUcklt+rKyoDFMQqk4pETjYQDhKEMUEAFhEIgubJzs/+MeuuNH22apej1UDnuqcqje90T0+Ump0s1f13LtRvsUi60iX6MfdAKWdkuWBGSO2ho7aHads8eC/NoWP2Bou2ntb3TZe5JE12qtQLeDxaIfE8e6xpwtbXyJBSbFTJuDUBdAAUDAAkW/pyUqxe16XXVqzdeo7m/RGp+ymK7WD8W2kgIFXAF08AZzy4nQMSAcpy2BMEYWahlbrw9c0Ngf9fV+iskeZduAz03M1c0LqloS//unWa+uHXQcL+649G0jvhOcAzQDRL9vmeSeqWiRp2ubqOhQYOBcYuOYZuhfquxXpe5YZepfpeRTquWWP8cwwdk3U3BOhuvGa+oZQNbMw5S1hyltCVLbdUN8Rorzn9ki7TFX3YhWbBz8eSXxc3wqkHzVVdpTcqo3zrLiyu+jommyfZRmeX6e4zUm0m5RhN/aZx4TOw9P6T8zqvrBMfN8Bv4kH/I6AmOWkmGMBgFLAMkI/UaSoAQWgBCgf02ABgHR3l8em+y/PtDOt9J5c5jkp3lzvyHd/CVz595v7jJOcpyTbTky0nJhhPTHPxiDFQuPWTq30E2YDdfl8NEUwpaVvWvOuPjpjVnFxc91tx4GScOitB8oRyhNqGSRne8hkE2TkDaFda30XWB2LFS11Vll9cPS6IOWNZ9Q3B4k2HtPceFxj/XG1NSfVN13S3het55Jq4Jmt7ZKpbp2sZpkkskpRt81Qc8rTcC3UcclX25+otOu2hm2CrnuahkuKsk2imvU9ke09Zcc0TffcsR7Js61Prd281mrNJI/V2r6rNH1XG/gs1zr/s0aFz2wu7McXR74uP2MmfpoIXC/mEBYyd1TIFMqI459IZ/iEwac8+IQ44qsdKbAUACQwWDOYf/Xl2c01R79rDFpa7T0+1UL1jrn27X0md6zGxllPiLEYH7nbOM7cOHm/UdJeUdIeUaK5XtJe43yXr54fnld7anFP3hk68AqwFHGEQRzmK2MolcvCyeo0P3PAmApqKXw+Hsm6QDIUJATEFDggFPoBNfU8uZcTtPeG+fTg9RqpFno1vlO7guYPXl/Rd3OdNNmRKTmL2x4B6aEsJ+sLg4cB0wOtT0jJJXGkWf+VeZLrs6QRC9i4ZUzCKpS0Ej9cIbm3tDdqieTuBpznDU1JwL6lWIo4YKigtUMoyFBfdtAhiQ/hBgn9cxAAJZiyHAKATgZO339saH7lH+Z3RPapmpb3NPbFadk+0PPMMwh8on3wqbpnofq+6E1nc8vbKUMJx/QBFYQ9CUgxMJiymLKEspRyBLOCnCdmZHcJACCponuu832lrVFadhkajrkjbdKVnLL0DhQbHn+icbB4hFuGqkuynnWUXURFE8CTXm7t8aLRm0K/MIsabZH89x2xqnvuaJpHqO4ME1nGabrlGB4sH23zwNgl7mBe5/02iKrpv/miL/h579VnPbffiRPa4cprdm/2wKLowYkhvaYh/RNvDUyM7B8f0TsxqmdaTOe3id27CvuP1Ihjm3GlFHoFLx4BYoEQloCYwrt+7BWcbLz7srploppj0SiHwlFO2Vo+ecZHHo0LqvwquGFmcOPc63Urb9XYpL06W93p8vDNBNdklX2JWrYZeo5ZBi7Zei5ZOi45Wq552p7FOt4lOu6Fei45Jm5ZxnaJalvDRq+5orohRGNTqObmENGma2qbrom2XlfeHTPKoVDVs0LXMdnmfGJ9VcHAkztPr9llBCyJdx4Xs087xdY43dY03X5Cpsu0dMepBY6TX3pPbfEfN3ByovjyrLbLX/ckW6PmVCDdQDiKGKAUE4rJe7KSQ1Q6PkxMQUwoBgJMQ2NSUKLjnHQbk1Kf6dlu025u0Ty69L+Or/rHrX0mD5ym37WalGAzLd1hapaNQeI+rdAdBrkXrKCjBjBLKBAhLjaAe1/Wp14vCNrz6twqyd198Pw+SNoJYClFEpAgYEGmE8EB5oBFQAgAUL7wl/YOwsXbeSbLHVSXe6qsPaZkdkrZ7Ij65gCNTf6aGw9qbjymsj5Iddc1fecEU98cY7csXcsHeub39Pbe17BI0nTM03MrNnIuUNkRM2p9sK7NXX2vVHWXZCXr+8r77qjZxI9yyFD3KhznnTzbImDt6m8cVxl6rtT0Xq3vstLY5zvN2G16Tce+GQj+Pt9zbmWoA20pBdKHCYupIleE0M9svPHPhcO8DYwxYAnAgACpA6Qps+WW1bNDC9+e+K7Cd370du2QrVpXdxhd2WkSst0wYrthxM4xEbtMwnfqR+7UjNmtGblT//q2safXmVzePC7dfnKFz/TG0J2kLglQL2KpmGNZXqSLEF7nkRVI4iDL73422Sp+P8VE5j8JFiEFKsUg4XGd6+iriis89kPIZvVrW7RjzA3T9+tWuI1pOTmbub4Yor6j0SsHI9dw5RdBWkdZhiLK49ww6Hnal36u8dKGrvMLybVZcOMrGjEX7i6F+O/g7reQsATuL4Pob6WhizpDfux+6Ifq0oHtAIxZJCTwKABQ8h4X+OOQygiQSinHYQDo5uDywyfj9gcPN49Vt03S3B+nuS9ayzZO0zVNw6dQ2bNY2TnX2OXhxtN5BW9ZBHwagaFUQkgfpT0UeikMUiKlhMMYM5ygg0Z4+oxMoTSjuv9r7xyVXQladlm6bsUi18LR9ulf2jz40u6Bilemhm+unk+Wvv3drcEVOd2Q1gprzlQrbYv6j3XhX+y6/6X5A5HVA13ru+rmUZq297U88nR9S9ScUif4ZdglNjs/bJ3glmDqkTz7eMGq4Cc7499aZ/SuudM8Pfid0bVenRDOIArGxsHYu2AaB+PiYWwsMz6qe0Zk27I7LVsSGj0yGi+XNabWD75moUuWyBoEeN3FuZ29q7/uiNqWWzpWmVp2+SrWaSMsHwy3TRzpkqsW8EzryCutg5UqrilazrELTj365lSJgcNDNctkLZtUXft0PadMXedMbecsDbccDfcCLc9iPc8iQ/f8Ma5ZRtb3Vc1CRq4JVlkfprEhTHNjiMbGa+qbrmlsva62J0bZPk/TNX+qW7zTqdCcW0cLgrbetJgavNMgZK/BLXPtB/t0ky20ky10kq3HJuwfl2w1Ps9hfLWrUdvRcdy12eLQBa2hK1pTDrBdtYLLQgkmBFPyG5DKUhAjggHT/tc1t/3jLaekWRmV+szMcJ0WslnzxPK/n/15RKSFYYL9lPu2U+/bTH1oNynNSveeuVbILuPCYCfoeQsUYcILSbCU9APtQm3VzyIPPj25qvnqGnH6SWgqAtpNQYJAigBhWS0SAUSAxYAxUEolQMVAKSKQlF/39fYjqt95qK4/McosaOSWE0pbDquYHVLbdFht00nlDeeUdtzQdLhn7JNn6JGvbflQc1eClnmipmWqhkOegWeZgVPeiA3h//jhgrblHX3vNC33dGXrxNF7YtWtE1Sds7Q9c6a43fnG3G3z97Nsv1byWq584Cc9h2Va/stVchwn911e2Xjy63TnmVXhbrS7SgZlWBYr+hdCqrB8EQEikcXcAHWKn0Q8P7+myn92le/ce3uMznw/POhnpfNbdC9t1b9upntzq17oVoOQrYY3turc2CoKMRNd2qR7dI1J0PY5Z7ZMD98+Jsdx0tOg1YMFF2GwEShwQBmew0TlfErMgYx381nbwVAFZqOsGol3uRnMp5Fx3+uilJO7bphphm1Wur5FM2yb1oPdmsVOJg3HZ7OhSyBmGUQvHQxd3nffCTcVAJISWbXbMKbw/LOzG6r9Z3WenIUuzmAuTJUGzyS3v8VR3+KbC2n4AohcBOGLuWtfd1xaWnvFrDXpOLRUAO4nHOKGWO9CgIzKjXfZu8DfIAUrVZYooAMEbubUTLML/XJPjLp9spZdgpZNrLZ9nLZbsqZntqpHnppzhr5t/IoDSSnP+xhZMI6jREqlHO0l0Ad0ECgLlBBCWQIMFfoXY4V1m1rPLjpZo2qXr2pfqO5cLHIrUXHKG26fMtwhWc07R+STq+2Vpev4YJZf5q6QF9uuP//6WJWeY9aofalfmCf9p1nMf5lFKpvHjja/o2b/UNPrkZZPqZpLxviA3A03a1ZcrPjfW8KGrb3+n9vCR1rHmfhlLLxUvSj07cywrklR2DQajKNB/xbVvYn0IzjTGDorGabcYSaEdEy+Wj/h1GNT/7RpAcmLjqRtuJDt++DZnefiZ1LoBWjnSFhK1VLbECOzq5obQkRborTM72pa3VezTRppm/5X65zRLmWaXo+1PHJ1XZNNPbOMnDNEVg/VrVI0rVN0bFO17dO0HdO1nDJFLtnqrnlaHo/0vYqNPQuNndN198Uqb7w+Yk2w0vow9fWhGuuvizZcU998TWNHiNa+WGPPQhOXlLn2wTae/tc8NgTvnnTsJy3vFUo+q1QvbtGL2a2XsEszfrtagoVJ3L7x8VaT4i2M0vaJavyNcdhCGrtMErH09a39DU8yeX7p74RUKSYUMNdZXXrF7vausWnWxoWe0xKsx15eo3x61fDgTWq39+rfsx6XaDs50XryQ+uxDy20YneKQnaZPr7lD0w7AOW5KAAc4foo7gbcKa3JrAmxfnpmzZtwa6b0BvSUA2olVMwJPS6ITJ8BEcAICF8BTQmhAE8bpWZeN1WXeSivPTFi85kvzYJGbDk20uyo0ubjShvPjNp44ctt15Vt4vV98g28izWsM5R2PVAzTxZZZ6o75ht5l+vaZf6f7y//P9+dEu2N0vdM1ffIUrdJHrHzjqrlfS2ndGPXpBm2l5aY7dn1/TTHb0b4LBvht2K006IRZzdoVx9d1H15RYXHxPj9459HeYGkFkBMgCGClfqvg1QY8rcRBsxz9igA7a9vTj5aeGBRud/sPKdpF78f6b/wfx9e8eW5jaJLZprXN4lCN2uGbNa9YaZ7dbPWtW06wVt1A1aonzFf8CTycGmob4jF7Fu7jDM85zbFetDWKqAcBsIAQUKihQ8OIpnI+me2UkGGokTmt/DMdQCWEABMxW2lcWdObZkUtGr4rW1awVt0L29Qv7l+5P2dqtX+k5mIVRD/I8Ss6L26qPbCWnFxBDDdcjbLsNfnfijymFIXML37xFc9Rya0HxnbETS17/L83kvzJJfmkYtz4eI8uDQfrn7DXlvx9uyq5xe39xWGgaQBMEO5IQq+PF4mi/wIpy08I15OSYBU4LvpSgHuPm6c5xo5fGekhm2inn2Cnl2cgcNdA7ckfa9MXZ98XY9cHev4xQEpMdXiDoBOgDaZan0vYAlgDmT1zxgoEYTwJACdGEqb0d2qwYgqcE1HE47Wj3IsG2Fb/A/rjbEUAwAAIABJREFUglGOhUrO+apueaqeuRq++SpuGWouaVpOaVrWiaI9cSO23tZyzNb3Lh1zoFrP+/HI/al/2RL9l623v9h9V9khQ8PzkaZPqZpLjp579vxTT+YFVY0/WTPSpeA/dicM23jzf62/OmJfrK5Xtumpl5Nu9I4JE+teH1Q/1yU61254tWfCTemEcLHm2eaRB6qV/R6reBcqu2aqu6ZrOqeqWd3Vs46b55Nqcb3kxqOWp33whiF577qvZrdYnilcYBVhvPWcyOyc8o5gJYtodds0Q48iE59Hhm4ZBm6pes4Zeo65mjbpapYPNSwfatkka9ikaNiliOzTVR0zVZyyNd0L9L2LjT0LDBxSRLtujVp/Zfjay6PWB6utv6qx7rLahkvqZsEau8O1LWN1bR5MsL39vcNZRzvrwC0zfb5Vdpg7Yv/c0XbLdA+vMQjepBWzXfv2ZrXoXYa3zE2j9o+P3KOXvF/09tgkiPkO7i5nwxZUXd5Ynn4bSQf550EIIZQPon8EUkGYMBQAS5vLc0/sithqmGlnmuU8MWK7zukVw899PzJ8m2ashV78PuNEy3FJluNT9psk7RXd3qEeundSVcJpoIOUlxAHSgERPEi5XkC9wDT3FYTV3LCsOLumNd4B6u8BWw9EgiiVAiBen49KgXJEkLwlhGKEKAZoGaAel1K0V7qP+uHgyM1Bw81ODTc7MXLz8dGbTihtOD1q4/m/b7k6cv8dXc9cI+8STdvsUbsTlfYkqVtnaDjljfEq0bB48L++PfkfiwNVd1w3cE009szSsnk4fMcdFYt4PfvESY63F1gcXP7jaosVpp5LR/h++1f3+f8R8N3wJJdZDZd+eH10XupejYjtBs9jfICtBxhEWIIp96+HVFlVAYcByxqKANNSUR1qm+sz74n/vFSbiceWfum/+G9HVo86t1H9ymbRjc3qYZtFYWY6N8x0rpjpXtlhdGqDntf3hmmXPEjHU9xannRsz+mNhnetJtZe3Ylr0gD1EUBSvveLDC2IUC1JZZeMP9/lKgSoiZyWSgRlusHulzm3vDceWCE6t1rpyhrVy2aGVzbrXlurFLrmH9l2Br3ByyBqFdxe3nfl68f+85riAqCnDhDm26kPK/WdlmOrV+M7sd53bI2r3mufMfWHprw5+tXbw1/1nl7AnF7IHJ/LHJvDBM0Xn1vceWZJ5cFFr8Ls6dtcwP3As1YVsthDmqTC+fJDDqkYhHlBASgGSH/Z/q1v7Mid4Wr743Us43StYvRtovUd4/XdUnS9cvW88gycUxccyjuS1/+gGe7UkRsvuJA6iG6C5A4oGYR3AAMyeTeMCcEsBcQB1EnIwYTns9ySxnqWjz/SYny8XSugXtv3larrEyWX0i/tcv5hl6HslqPtV6jlk6vllWPo+0jfs0jXrUTdKf9v+x+OcsgRuRXqepeaHngyNuCJnscjJbtMZcccdY9H2t4l6q556o6Z4/yLpx2vnnm1bczJN3oHq5XtM//PxrD/XHvlP9df+eueaBWPQrWD1cqHX472r1Lxr9Q78tz41GvVQy++9Kr40rVIxaNY27dM17dM071Q0/2RtnuRtlO2vl2SgcWt+W5x3ndfPpHQfoAugLpeLud119Wct9bXc2e5hGhsO61rHmpkGWVoecvIJmqcW6K2baLINl3DNl3NMlndMlFk+UBk9UDdJknNLkXNPk3VMVPDJc/Q65GxR76OdaLK1rBR6y+NWHdhxPoLquvOi9adUVt/Tm3r1f+XubeOjiJb+/1n3fc9MgYh2mm3JCTBGWYYRmAYBich7u7uSacjWNyduBF3d3cIboMHhwDBIi1VtZ/7R3dg5sj6nXN/75x7a7GysqAX1V1d9dl7P/v5fr80lyqWV8vaoJ4dgbWGHhG2BlquO2gBPylHGH1bxLduTg7Icd+dbMAstWKXmtNP2aoW2KhmGJFO2VGmw9YKS/dBuxFRvutxwvrJ5MPXRprEi++lSEWIAPQhLOzvkbr8C77w6Gx/lHmFJWfAd22v38ZSG06KllymjmKlDaPFjdPqptbhpt7jvqbHTa3LhV5tTyvz/PbX/gIAES4WizACAeCEiEAihC0hbAnweZi78Wog63y63q18I7iYA8IbQAhwgCUAMYgA5gEtACEkAP/oQI4DDvAOg8L2y5tMT8gfClM0T5KzSJKzSFAwjyeZJpBMk5RMU2XMT8o5VbCC+tTDp9j+o4pOHQqO7VSvXi5vRIM/Qrau+K+fI//8ywkl85Nc/wbNsAGOT4+CcwvJtVnNt2EHr1TXI1Rfe6fLbkb43lXHfv7LsR3/XWrDvZGm/zRbf5q3ocFCvtSae6MxCkQPABYxXCjCMeI/j1TJWhLEBBAi6VnFb28NnEkznzqx42rMrk7vrxIOkmIOKSUZUrPM6Pnm1BIL6ilL2ikrZrE1p8BaLc1clX+Qlul7+MmFHiBeA7y50JqdZv9tldOaq8m64nNVIHxOIMEigf3GfA7/O7fMP+qzftwKQxKHEwTLniaAhCB4+GtHRprV5og9con75I7+9Hm8ASvVhFNgxiwyUux0Zc+e3A2V2lCx//3J7dPBGy5n2opvDoN4ESEQAXxyOuK7VmfGuL/atB/3jBfzQrDmxfBNF49uuXz06/sx259G/fDsxLezkd+/iN3xNOaH1/E/3gjfcj7u8KuhHHj3EHBc0mwh/qASAKnW42+nI9IGAQJg2SMMEQAwdf/V4cgWRbtSims9272R617N8azi+DSwAzuYIcPMsAla4KAKb2Bv+lWziseHi2Z+yrmzo/jJrsrZA3WzLgOLyVdRx3O4KYI3Ej8UJAJ8AQCfFRFH6y4oWxb81babfOSeasJz9cRnG5Kfr417qBk7Qwk9J+M/tMK7R4nXTw8dpPP72WHj3CPn1WPubkp/qhbzK/PIWTnP7pVOzYzAwY3RV9ZFXWGHTdNDpmj8CWboFCt0ghE0rBo6pX70LDv8DPfo9OqjZ+le3StNilYaZcsYZX5pli3vWkflD1HCJxX5I8q8YVbICDtkhBw8zDo2pXJkguXfw/Rs5Xi1sz3a6W5tTO/edUenN5+Y5vq0053KNvOa+a23byzikltNADAHcGcJ63nyJnnwjkN6p116t0vOUGDjjcCO5zvipmjubTSPbpp7J82tneLWQnFroXi2Ubw7yb69lMBBevCIatjk6pBRuluTglmhkkm2gkmmnHEq2SSFYpxMNk0n2RYoe9Qx/To3hw1+71m028DFQmtPrMP+oezwZxeGF+buv7833RznHKHHPmnBzTVj5lmq5JgzMvRW9PipvMzeCXV6UKP7KuXb0zzV8VTTN3fPIVwo2VGXKNjEhDQo4u+RunyI5+9Ndh0zLDNndnuo9wZ9U+u5OcuInqGjWG5BbnNldXmod3uo97pr9Lqp9LgwauxZ5b4/3BopAxCKhUIRRuAAGMIwwKURImIRiN/hd4dn6vwvZOk/aQjEb/eC4B0hTRzCABaAWABcCAjHlrWEElMgEcDQlZf7PVIU9/kpm8QomsUrmsWQzKIoJtEUkxiySby8abKCXT7Hp3lN6JBa4LCyS7uCYwvVs0szZEjdr13JMPPPO8M/231E3jCJ5VWhEdLF9usieXaQPFvW+NfqHi915YXa633vsYsc/suKyF2f5hkoTx3Z+TDT6PLxnT1O7BpTuQpHzTvtSSB6BLBEAC4mCAJ9lOh9vHp/KFkJBASBAJM8tAgnQPz25fm60ahD5yJ3Xovd0+nzbZIOI1KbnGREzzKj55lRCs2pJea0YgtmoSUrz0ot1kg1UFutuyiCWHwC+HuApSfXR8vDzcvsNS9G7BSOZMHCDKDFJYQvIxUt6w0lRpsE+oORikmQSkhik6QRBYjAAL0XzgwNptil6LFO7FoZ8YtC7GF2qvXmaH1uqgEz35ja4ab6/OReqNbDi355lbjljK/qMH/H68FCELyUInUsZn+RNaPJmTPgpTrowR311xwKWDse8tXp8G/PhW29wNt4lbfp3rEf7kfvmjnx/fPjm+6Fr5sK/eHXUh42cwEwoYTuH8SXog9IRb8x0IFln0ep3wigZaSee/TaILZNya6Q6t6g4t2i4l2n4lPD8atnB7WxQodZR6aY4dOUoHGV8LMbE29vyniimTWnWby0vlq0tlK0vujd9wXPTKueR48tdj9GD0QgAFgUCUQE9haH9K7rajYn/2patsJtYIXXOCnonOrx6+vj7n6X9XJD0gw38gqJP0blD7OPjDBDB1mho4yQM4zwK+pxdzXjb2xIuMoJHvrCsvxLizKmXw+XP6Z69Izq8bP04GEWf0TtyKRKyAQraILuP0zz6VENHtoQPsFxb5UzylM0zFTQT1Ywz2T71KuFDTLDxyjBQ8zgIY3QEQ1eH9e3+fvosZ2x42ou5SsPxny+O+KzXyI/3xcrZ5DDcq5XD+zT5A+phw4qeTavD27JH7/7bF4geYSWcEwA8BrgMYI784I784I7i6K7ItT1Agyyr1IcGqiuHXTPTqpbG8WlmeLaSPZopni1k326qAH9jOARtdDJ1bwhqlO9vHE+ySRb0TRDziiZZJREMUpSMstQsCtR8GqlBPSr+bXv8Cn2O5be21D17t5pYvGJpEdf8PJudYwL7yA9zUIty4yeaUI9aaTU6sF5nrcXWk2g+vDbtO3ng9SbXVQmcz3R0jMAiWmzVEb8z2apEvcABASA8P2tkfZQnWITRouT6kDYT53he/OtNDN0SKXGiu0ujH4fjX5PzT439V5Xbo8rs9qRVR6w4854JaBFTCRcXiQRQgJfwhEmuffEQph/sHi+9HS2dUekweX6pIWnM0jqlYMDLAGaB2IJAJM2fONS6TQC+PWZwDIsT3mvJ804QtkslmQWTTaNpJpG0oyjaMaxyqbxyjYZKh6VG/i9GrxhqluHglMzxbN9feiAumetgnb8Zzv5K/YeWaUXw3ArWR3czvDvIvn1Kfu2bw6qdogvPR4RFmC8NWgf+dgvK5MOyHZ7b3mUYXgjel+nk0a9OaXGglTjtmmmJwOwJwACQmIoI4WAFKkA/3hc+h9FDkI4gRAuRSqGweLz2fHioSM/n4/YcSVmd4ff90n6nKMHleP0aRkm9JOmlFxTar4ZrcCMnm/OyDJXiTJaHWm389JgLQCGi+dxfF7wZqY7N6zMfu2ZkK2LvfHw/gbAwoeQLiQdzv6jSMUls1REwIeT4QIgns+O5tV6f5epR43cLRdzWLUtwqoz3inWfFPEIUqmPqXFRe1+8s9LhQffpf/wOGLdaU9Wh4v6/drj8P4eEDgG8MmlksAch68yjKn1LqqtrtxOT7VOL402T41uvw0D/uvHA9afCdp0jv/N2ZDvL/K+uR2kNhO2ZsBrfW+k6evLgyBekmwNYP8QqdL7AP4GqQgAScue8OurJeecEZJNPsm1mu3bwvKpZflWMf1rmcEtzLBB1pFJMn9SKXCKEX5pdfx99bRXnMx5Tj5SL4N1lfBVFfFDlWh70ZufT94zLbkT2jbTfHPptgB/jWAe4MqcIKb23C+8Cqp1/hfW1bLOnWSvfprvyOojF1WPXVSLuMQIm+Acm9CImOCGDHBDhzmh4zTeBD14nB7Ur3F0eF3ogJxF0ad6WWyvVg3+sHroqFr4GDdkUDVsSOPImErwCMt/ZN3RM2tDh+ku9at9O9nO9fKGOQp6abLaCfLG6Qz3Kg5/gB46QQmbZB85wwkcojlU/BzemnVmvv6e0Cim69Otbgq7eKQ94bI7Q7/4KWzVwViSWT7Hu03z2BQ9bErBvd44sWXg+mMhgQgcJwhcDDAP0g5/fNk6oOba7A/8ToptLdW5jebWTnNpo7q2UN2aqO7NVK92Ze9OZd8ebvikevgk07tbybZSwSRXwSBDzihdwSSdYpxOMU5XNM2Rs6+Q9e1TDh5ne7eZJvRdebhA4CKJn4xkOfH+2Z2SKBffveRkE0bCoS8zdFd0+a15nn8I6gzwU/tfJ393NXh9hbFSic3aGx2ZAIvLmS6/TYT8Jwt/hAggAERvr/U3Bx3KN6TV2nHPJBhMZdrn225KOaRQYaHc484e8NIY9F475Kkx5KHW5coot2NUBu66f7oOQACExOZMIpZEAgSij+P2e/Ti/PX2lPo4+6Hy+NePbsNyP4pU5YsEAAQOIAJYXI6TxhE8XyBOFPUy9nspavMpZnEk81iqZTzDMl7RIJJkEEs1T1QyT2Q5Fa3ndan599M8uyk+PTSfzg2hPWrOJV/uDv98J+/T3aGfHjxOdixQCeok+/WQgkbJAb1bgyvC86qz4oO99zF4O1fGH1Jo9f76XqbJzbj9zTacckNKqz2nyZ5V6/XNve4swJ4RIMAQIURI6hj08WmSXME/qi9V8v8TOI6AECNYwgEQIt49vNcUNxK+42rsrssxuyvs18ZoMyK1aQmGjJMWnJNm9FwLRoElq8CCUWLDTTNm8Q8xSyOd3jy8DEhMEEIcmwe0cKmrqNr1m1G/De/bj8HriwDvMYAFQhKaiv8eIf/ECvN/6CAAxAhhEpkTThDSLTEEaEH8aPJstnOJlUqattKxXQrlgYbC630vzzanu+0NPUDLMKB3uGveS/j5fc7+Z7Ffzxxde8lfpdORPZ1kIbo1APgiTsAn7y62FQXqntBhlrmurXVVLbFQqnPitHmvbfbU6PBU7/XRGPRbO+K/cSRg66T/lkte7Js8jU739a1HDGfP9QK2JDFqx6U7+r9Z+P9DpH7IsVhG6p03Qt/icbJdrpJLJdOvheFTy1hGKiusl3N0Qu3EBVbYeTr/AvPYDXbcY07aO242traUWFe0yE5+zEmaUU+6uzrqssbRqc3Hhn+O7nMpmc4cfjj2HHsC8BzB5deC5KHZXbETLI9mmnMT1b2TGzjG5U+yQsYZ/GEGf4gZ3MfidWscHV7NH6R7trN9OlX8m9V869YFNFFtCr/USWU4VqwJ6OR4tzJ8WzhBnRxel0pwn2rw4LbYqyblLzV921bqpytbFimbF8rppCvqpsodTpI3Tqe5VHL4w5Tw08rhZ+lh03Tf/q387oy+x3dEMEMAv+g0ZacffW8oZW+Y4q4Q+V2hcvtPyOsl0RwquMFDzCPTSn7dW3iVWf3XX2KSHHhMhERCacoEQgSICXgLcHL03gb3aqpdHc2lg+bWQXNtpbk2Ud2aaB4tVK92Ze8uil+vStiEWugE3bND0bpMwSRP0SBDwTBd0SSTbJxFNc5WNC9Y5Vgj4z+kyJ/k+nd6FJ19IpTcdULJ1gQO8OrJzZJYF/+9CvFaK9K1/tThwX5RqIPVmy6VHnocu+W8v1qng0r2YWq97/5X59sAFpeTaP8VpAKBEIDo3fWhFt7hXH16pY3K5ZP2V8uCCxy3JWkp19owBr1VR/3WjgdsHvFdP+S1usuVUWnHrObtfjhdDyCUrHU+IPVDHq8IwwlsCbDX2Ls7CzNTohc3CGweIWLZIIJYlgoTxHLcHoYBJkI4DgsEFPdeXWMYoniIRzaLUTKLU7ZMolimyhrGyxonkiySFExiGXa56wLa1QL66X6DNN4Ik9evHtBMM0//fGfA5z8F/K8d/n85cEzRJpcV0Mk9coYSeobi36OX0Jle0ZjCs/LZ/kXMgVUt3l9dTta7FH+ww03tlKFihTm7zVm92ZFb5/vd/f4cwGcJEGEILfujE79D6u9+/wMOBASOE4CLECxJeprePrhTFzl2dOeN+F+mj3yfb8KK0aLH6tJTTZg5Vio5Fqw8K3a+JSvfjFJoyUo1YBzTU+8pjha9ewJA4IhAxCKA8M5Ea5Pfrn6vda+ag2HuNKD3+EekfvB0/2Dq/AcylQDAQeIFhDCMwCRIxUSAXj0YyGsN3FliwYn6RSZGT3O6MhVEz4Uvfq2P9wrTVkvVpw/6b36Stv/dyQOPIrdeD15z1ovT48gYP75vfrwYBLMAxCdo6elAceQRo/Un9Gi5Nuxia1qpNbXKgVXnzG1wZje7slrduJ3u6t2eG/s9N0x6qIx5cMus1RuOmD2/MAyEiMBwDJMG/n7YoZKWUiUPlGRElf7jB6RKXFLhwXtxWPVZtlMByaWc4ddI96lh+Fax/Ks5vCZuaI9K+JBK6Dg7eJIeOEEPnmYfvcaNnmHFP2LH3aOfuKbAG1cKGmOGT7FCx2m8IXbICJPXT/Vu1Qhs1kufyJh8dl2EvwK4uAS85gdM6xw5o2yyXQ3Hp0eTP8oJHFALG1EJH2HxB9jBfRrhA2v53dsjhh2r7lgUXdzgfYprm0M3y1pxKH6VTrKSWfZK4wxZqzymbz0nqI0T0K4S0LUv61bwoGCdd90X+yLlDicp6KbKHk5S0k9R0EtSMM6gOlVyQkep4efI4ReVeRMsvx7XslvX5pAI4BkGCXVXuFpHSQePyx+IlD8YpXgoSv5QpIxWjKJJDsuzlRMywQweproUOxVPXJjDlwAEQCzgiwIQ4yAGJJCYeN0TAq/2MtehhOLQSHfroLtKkUp3a6Z7tNA926neXTT/fpWwcRX+KMW9Rd6qVMEkR9EwXdEoTckknWycSTHOVbIokXNuWBUwosCfXBPcH9P16KW06RpfRPg8AQDw/P7F1MDDPjv+UmQqO8VTe5W3D6s1nSvUuhH3w5Anu8macsqYla6j2h/jhD84++8jFQDE72+MtgbrZerQSyxVb5YFPOxMKfLYnXCY0eDIHfVXn+RtOhv23UTQliFvjW5XRrUjuyFs75NzDQBCaXoNSOxlPyJViBNisUgqP0GLAIsILWK4CH2U6EijVNEHfwuMwMUIw0AI0Hft1Y9OcQoHAxQNjssaRsmZxMmbJa80SV1lkSlnniJnFMewzV0b0KkeMsHgT1FCJxgh/eoBjYq6USt+9iVrhX2+J+izA0cULbPI7k2csGnlgHGSc61TVn9+aXmU7fbIfStbPNddiNt/Pu5Ao5t6rs6XRUYKdc5r2tzXNTqpNvN2PhopAuIFBpgISePml/uK/lNIJQDhBEZgyw4MQLy5f6sucuL4z7cSdg/5rsvUVozXoiYcpmaYMHIt2TkWrHxrbp4FI9tIMdeEnKpPTbf/7vZoPWDvpU0dxBKA8NXNqb4Txu3u6x9WecPzESDeEACLUqSKAASSOwcBjv/BSAWp7yaOEAjFhBhHAASI3xLPL0xme5Xarss15oTvUqoKtVycuQRoCURzV7tPRZp9Ha9FHud9/Sxl72zSnttHv5320Rh2ovc5MoaCtj6oDSWeXgBi4RNA797dP9uS4c/TUTmirZxnvzrbnHHSkHTKmlluQ6+2p9c5suodVesdNJrs1Xtd1cpMlJMNVDuT/ebvX13uP8ElLX4fclc/uDv8HqnSXoDlWaoYAD1fQvEdNzQ8SkiOp5i+jXTvaoZPFcuvhh3YqMrvVAvtVwkd5QSPMfxH6H4jHP5pztELzPCzZP4EJWSCETbB4I+oho+rhY2wggY4YaOcY2doYZOK/n0Uz8YtwfV+5efGn4pmAdKG7iofPvHZ/kh5k3ySTRXLrYnqXEtyrlX2amaGDHDChjhBneuD2/3q70yIoPzG2+98imX2hClqx8ociP1iT+Rne078996jnxsm0r2qVPid3OAutk/rT3Hn+H1LP4V1KWhHy2vHKuonyuslKRsmKxkkKRinURzKuCFjjPBz1NCzJN/+DaF9+ecX3+FAIHglhrzumdVGcSsPRK/USZHVT5PTTZTTjpE5FCWrl0Z3qlYLHFQNGVvleGpnbGfD9XevARYBzRNLQhARIADiPWCLBMCZFwLT9H6KXQHFpZnh3slwb6e7tdDdGulujXSPJoZXG82nkxHYrxIyxgkcUHZukDMvUjDOUTRMUzROUTJNIxtnUkzzlK1OKbo1yfNGlENGfogYrrq8NA8gAlwI4iVCKMJEAILHV3szvX5O1lc8e/QrwSkdVGsyk7JjMmRjp4datQW5ypJZaqlx0mzj5EkezP4KaOlfRyqxnIu6cO90R7hJqhYt33z1THPkm7M1p4L04w6zGxxVR/00poK3XDj64wRv66CXZrcrs86Z2xy27+nZOoAlSVseAE4A9mGdhP3mRDgGOCZenolKxP4SqkrUIASSdLRL3yvCCBADXJ8TWB4vWvWTo+x+fwWdUCXDCJJpvIJZirxFurxZkpxhNMkklelUTfftIweNkUNHOaG9bJeClbt8/9daA5nv7f76neN/fe+sbBzH9ajVDBlVCejX8Kw+UjJUU1aU67Gr2WP95YR9w6HfFlsxUrRlMnVWnLKkNnms6/DZ0Oi8uuvowdnpasBfSZAq/AdIJaQWnH8cciSW7Li0HQIA0JuHt+qjJ479fDtxd4+bSsYBmQw9WoouJd2QnGtGzzen51mx8ixphcZyhcaKWYa08kCtd3dPSwzdMUAEvgBoEX89cy7Hr9ntq2uFjvjDbsBfI4AlAkSAkERojiTmD9h/AKnLyAIRgXCEAyzA/IPHvbntoYdzTTXitVgZdjtu9laAeAEJRQD4m7vn8vx0Eg9TJwI2PYzePnPih0shW/tdNTptqYOurD4vzQsppqJLrSB6/gmgdwBv39wdLzpm67mXFbiPkmikkmHKyTSi5ZnQSizoZVasU1bsEktukTmryIQWu1c+y/Gn232VIHwDOE6IRMvByNjHGfsHpH7IZF4upOIfkEqIAPDXOOSNPtroW0ayL2F6N9E9a+leVUzfWnZgkwq/Uy1sQP3oJJs3TPPuY/gNqPFHV4eNqYQMKXq3kfy6ueHjNP8ejn/32pD+NcE9mvxeLn+AfWSMEjZGDx7g+jd/FVAb0fHrbTGUnbuz2jhSVitKwTB7hW72Cr3ML3SS/3Q4+XOLIiqvjxU+zvBr1/CqCW249hRgYvb9Lt/8z7f7yh+MVjiUILsvWu5Q9IrDkStMkpQ9K9ihXauPDXL827cdH+Z1LRyMGqDoxipoR5H0ExT1E0iGCUr6CQqGyVT7UrXgIW74ND14jO7VopU8OvpCKBGULQIADT2LAAAgAElEQVTUTL9ZY5v5hXbSFwZ5K4zyV+qly+knyxxOWKWXSrcrW+3XvTpkRMm7eX14S8rQvWeExFsEE4IIh0Ug3gEhEAI03Xyx/Wg9ybGU4tZK9+hguLcxXVuYbo0M9yaGZzPTu53m28XmDXJDRhi+vQp21atM8hWMTpIM00nGqUqmaUrGWWTTQopdOdWzUZk3wAzuM8yYmnxOiAEIJECwBPAeYA4Wb72aKBxPMb0Uv3+uUOdN3v6ZpB39fhoV1vRic0qRCaXaXr3cfmOh0/cXKmLg7Qygf2OWKhGsAIDg8aXeCOukQ/Q88zUz3Rniu8P1J+yjtThV1pxBL7VJ3ubpsO0jQd/2eGh2urAanLhNIb88nqoEeC9p8ll2UUMfYIp9sIyX9hsinJDYgsPf/CEAxJKITAIBIkQisRChORwV9Vw44JWwzT5K0ziEpuWjcMBbXidEwSCCbBpNNo1RNkqkWxcxfbppwcNU/oB6aNeeyGazqLKfbY+s13Jj/OL4+TcmK7c7cswS17lVsi1zfvQuONUxeXm4ZSrL+WzU7v7AzXnGSkd3/iVq/4o8U3KVPafNc22374ZGV42BGMO3V1qBmMOW2+z/LyAVAAESEx+RCgvP7renjB3fdTNhV5+7SoG+fLEFN8+UmWtKKbGglVszyuzY5faMOjtyrQ21zEalK8oCe3YVABMAEgKOixcIfBGwN3db01r8dk5lWovutIB4DhCIfodUSTOTNA3kP4DU5TAsEYifEfeGTqe7VTp/H3uQFa27bvJUAvHmERCEWIQjAonfPhnNDz1lv+Fs0MaZ41tvhW87Hfhti4Nmiw19yJ074KE6Fv7Ty95MWLj1CYL3OPEOiLmHVwbLYr18Dq1z+V4hZLdy/GFGsjY1Q4eapUfL0qen6dOT9enH9shG6Kj0ngzBZ+8BwpEYI4QCQPiHYOQPKdP/ElIRNg9QfeHF1sAqRdsiuncj1bue7FVH8amnB7ay+D2c0CFu2AQtYJgRMKzGn1QLGmZ6tdPcG9YFNRvnn3eovrs1tEvOOEvWIE3ROINinaviW88J7lQO7mUcHVM7NkF1r/klaqDqFl598f42xySyXgzZJFvO8OQK7YSV2nGrDNNkbUspvAHGkSkOr0/Ds9Lv1MQjgPMv3hmEllIOhFO0ExUOJMjti1bUjiYZJyhYpil6lFNDutQjx1T43d9HDB4bWDoQOaioHStzMFJeP2GVXrysQYK8QaKcYQrFtlg1oE817AzDr5/jXe9dc/WmkECIQLhgAaD69Oxa26yVemlfGhWuMC6U0c9RNMqS10uRM0in2p5S8etcHTJCDx5YHdR6pO7KYxEhlNaZcBwJgVgCwF8TkDZ4T927jOxaR3XvpLl3Mj3aWG4tLPcmhkcj06uZ6d3G8OtUCR7m8oepXp2rrMpXGuUoGGYpG6aTjNMVTbMUjfOUzUrpDtUsn2Yar1eV3+1TdW1mCRAgIN4g4hkIb8PcNNxueN995Emp7ctC40fpe0/z1zW7skss6SeNKPlmzFOWrBoHjVKHdad8fr7ZnQfiF//6LBVJrcUAALAXN4fjnBMPsfKsNs6MFMPc9d60wChtlWJTWq+Hynjg5jHetl6fLe2uq9udGLX2rFq/H2YG8wGbkwpwpJYVy8M5SG1SMZGYwBECEGHEvFAkwIkPEsTfvjdMEgEoFiFchAkWRWJcgGBWDPcWYODmbF7bpG9q+UHfhK9tj3EN+fIHfVfu95M9eIRqkqni284I7JXzqFX1LU+feDqDw7UnCy0jFzNq+lyi8nfahn5vF7U/sETvSFVIfld733BXcVxT6IEWr3XJBz47uvNPR3fLxOpQ88zZNfYqPZ5rBvzWN7uvHU+xXLrVA8RrMRCL8PcLf7S8M/EHIlWS/iNGhGThjyME2JvnI0UTEXt+jdkxGbCm0ZbV6r6p2WtDg5tGm5tal6d6u/eaTj/N4YDVAz6qHV4bJzPdiOfXCBDNA7GEcAJfRPgSgGBuurHnmP5AotnStToQvwSpDzKSmkAtK1P/2C5/AMnNiAMSSIemReLFhYdtie28/XkmayIPqtaG2y3euwwgJnCEIxBhAOL52fGKwaP7L4dumjmy5Tr/6wH3TdVW6g3W7H43zognd8Bv061TgcTTiU9w9H5J+EISGff24bWhurwENz2Pnzm+O5SDflAI/m4V77uV4TvlIg+QorTIQTtl8r1+eTrZCGgRAEe4GAgB4AIghIAEAKK/Caf9GBLwG6RiCBDCABcAJhYCtPw6931wraJ9Idm3ieRdr+RTp+TXoMxro4X0M8PGmWFn6EGnVULOqodM013bmW4texLPJA4+uPCaGH8ODql9cntD/nub359+DPjTzsAVOlEU12J2eDfz2Cj9yISiT7dqUO+x3tmq8092uqcpaJ8gGWfSrYpJBqkUo2SKZbaiYwUlaJgcdpoTMrTWt8aneOQhwNUX76yOlrMOnVA+mKBwMFlJO1HxUJSCXrSsWZK8ewUltFctepIZ1Lk1vPv4sPBQ3JSifpqMbrK8ccaXBslf6CfKGCTLGKaRbEpZvj1qYdNUr04N75rkkWcPcMAIARIvvCUgr++2hkWyknGWrHHhKsMCeaNcikmOkn7aKr10km0Z279bLXyCyRvmejTzSy88E+JigCUMhEjaeYQjmFmAwIqLilb5VI9Ouucgzb2L6dnGcm9huTcxPZuYXi0M7zaGf5cqf4QTPETxaF1pXrxCP1vRKJNslE4yyVIwyVMwKCabVjEd6rm+LVxexzpeY2L3nXkAgEUQz4jnpoS36t73nnhZ4fgkT/92wq7zYd/0eqpXWtPSDZUSdEgperQya41GJ/UmZ/USe/WqoP33x6sB3gKxJFUe/2tIlQQ0EC/vjiV5JmhzC+y/uT9VBdjTqdLYGF2NPCNKjzt3InDzoN+WFtf1TY6qrQ60Kht6uceW213pIHy+bByBfRjOpUoYCTwxEeAYIMAwYklMSKQ5OCyfflmiIqmkSfanABciQowRhGh5B5oAWAD4dXax6+LdrM5Jx7TanwNz11omUHSiaNb5dLcqukfpd+GVNZeeLX6cRsIrIVx+NNd9/k7HxQfnngkfzqNrl89m8MxOaNMz9ZQidv0lZMenoXsUY/RY2WbcGlvVIc91YwGbWtzXTmXaCWcGAb2R1IB/47T7Yb/3D0cqJtXvIDGAEIEIBwDBywsNk9EHr0Vvvxz+1bDP2onQ7eeidk9H7jh7dNuFY9+dOf79ucjvfo3Zeuno5omQb68U+RKz1xCIFwAWARFIhJAIQCS+MzYUb9cRYzx/uQrEL5a/gmWkLnuF/PFIlbJJCEAAAcSrhettA7FmRZZrEg7QSz21Hk+0gmhBsg8sJECMAEAouDt4KdXkasjGuyGbpr3XNVqtLjHTqLbkdDjQx3y4fe6rp5PMiWuNnyAQ4MQCICEQksq+eO7utfaitDR/+0R343gHrVT7PXGGG6L2kZIPyuWaUEejDwmn8oln4/DqMizcBeIZwBzAe0CLgARAYFLFLi7ZjJUosHG03A6AgMBwMUJiwJcQJhYDDN59vze8nmSdQ/Wqo3jVkr2rKb61NF4rPaSPHjZGC5umhZxmBU/QPdrVPWqt8s413RM9BRADPBFAaEEfeV/gyj1hCtrRMgeP/+nnwBUG0VTPSjqvhx42Tg0eV3Rrt8i7VHzm5d6gYpkDx1fopClbn1I0Pkk2ySCZnSQ5VNB4Y0ohp2n8UY5XjW1W300x3Jh7bxdZrrQnRGZ/vLxeLlk/W1k3Qf7wiRUG0QquZbSwPpXISWpA+zpea2DXe93088qmWSv0UuXNclYapq3QS1yln7BSP5lkd4rl368Wfobh1bbep6LgzOwzQnL/ELMExLdd41ikKpnmyZsUr9LPJRnnUk2ylQwzVhlmyduU0/171I5OsQIGWQ6VfrlTD+dxMYBQjMQ4gXAx4DhOwJlHQvPUIXnrUopHH9ljSNmjh+rdSfNup3q2Uj1baJ5tDN9OdkCfWvCIWtAQ2blBxqRglf5JRYN0qlEGxSidZJwtb1Iqa1rNcGlT92tZ51moFZwzcPoqLMwSz0+L7zbNTWY8qPe+krh3OHhTr+/6Do+1ldacdB2leG2lKC1S7GFyliGjzl6zy21Nu9uaEvs1jcdNZi/3AkgsF5bNSQDg48zqd8ttWK6qYwRCgNCbB2dyQ+P1NLJtttyfrAKYO9eYFWu0IdeQ0uPKHQ/YOOC3udlNs9KaXmerXGPPKHXZcK0xFpYeAxItO91hH7U3COEYhhAhSelGBBKLMDFGfDB0Wn6mfi+hJiRdihhCmFiMiQmEIRDjUn92CbYXAJ4iuPCKqBq/E1UxGlY+caLpQlLftZoLDx8sgQgAE2GE+OM2rITLEo/ht09ulZxwCNlDit7zZaqOcuQe2bCfZeO1aQXmKrV2qkM+G8d5W1o810/ne2BPzgNawAEJkeRqfoCLpPj8YZry7zLkX6UUTgCBEEFgksZYEQEA6M3dieEky4kj2+9E/nCFv/Ha0W33U7XupGndTN53NfbnC1E7r8f99Czjp/uxW65FbL1V5Ew8mAJCIJL6N0omvji8uD5RwG+OtJg7XQ6iFxKuiQARIEJIgBCOL3eqSgcSAoEYl64jpHZ8H4fF33y23xFY+lkRAlj2VpZWf36TjEBIv31AQvzl5fttMTWe30YeIKdYbL1Un4EWnwMhwsUII0CAAQEA4pfzF2uuJOpe5m+4FLCux1GtwJiZacwtt1FpcWINenH6PFQnj+9f6o3/BAgcAANc/NFYCwAARItLs4+fzD64N//g2vnymDLrjS1W1NvRW2ezd78uMXxdbf+y2f/1YNz89Rrh8zFYuAloDmAJ4WKJoRsunabgBMIxhElM7hFaxIlFHF8CEEmWbBjA2adC09h2ilka1bmc413D9qpge5VzAxs4od200GFq+Glq6BQ1oI/uUmaSOtg9szC/3Lq2CJDeMEHZ5/fXXfwvD8es1IlbpRUhczhC0Sqb49fODZ9ghEySfXoOJJ9NGnylfaJ1pVbMX7VTZcxLZc2KFExz5U2zyY4VDP6Ecug0LfwMxatBJ6nr3ALcWxD4ZDXL7Qv5UitFxqBohVamkk6SskGcnGGsolMJnd/LPDLKCO5bG9zp3jSrf/KcgnHKf++PlTPJlTFIl9NNIBnErdCNVbApYgcOqIVNqfq1bfE9VTR5/zUCSZrpjUXCu+QMyTRrhUG+gmmZokkh2SSbYpxJMs6SNS+Qta8m+/ZwwyfYgYOqrnW8U1fvCaTPMwDCxAIcw8QANacfbfOvoLk2Knv0K3kMKXkNKPp0K/l2KXp3KHi2kzw7GH79KkHDqgEDan69ZNtKBZNCBYNsee1kqkE6TT+FYZKpbFv5mXkVzaN9k1/9Po/YxJSUp2eal8Zzn9UG3SqwGY852OG7sc2ZWWHDzDDhxOky4/XZR/aTj2kxYnQ5qYbsMktui6Nqj+vqdte1xXabBzJ8hU+ufYzz/I3nPPrNz795EhBgOMJwwGHh6ZXapHiTTVnWWx+OVwHMXewsjDf/OteQ1u3CGfZb0++3vtl9dbbelwWGX9Q6sIodNU+XBqN3dwCw5XofWjZC+4hN6dPzz9/J797Vb9ZWf/vXvykUEB8Gg988+R/GjL85sOWMHxzhwhf36uM9w/ZRUrRI2fqMVG3lmL1y6YfJ5ZbcBsfVvX6bh3lftfluulgRjt48BAJDAATCCYQtl9EAAYEBgQG27ED7Lx9/X0Je/lS/mfrCb04EOIERuFCy+S7xbhHPPztTFdMS8NOdqB0Pjmy8E7LmefLeB+mHr6cdHDu+vS9o24j/xkcJ257Fb3oQt/Fmpp7oahsIpYo1oSTID2EgfHp3oKgrwfXpQAksPQVcJCJAAEAgHBcviMULYsAXJT77CAiEI1yMlgRIIAYxBiIRYAJAgg/tmNLtTURIas4EIek4RAgQjnCcwADECImXeU4gsVTriURIOlIRAO+ezg3ltwb+lG5ETbX/ZqommXg7A2gJkAgkCVIIAMTo1cV7lYFnwn+8GLxx0H11pS0nWZ8cratcaMtucGZ1ubMHvDSGg757nG//CRAEoA9IlYZuSrLtlscCwf3+0q6AXVM+mi+Tvhbm/7CUv+Np6nfXo7+9GLvzQrLO1Tynp10J85ebiefn4f19EM9Jq0BIKJlE4IhASISQkEBLOCHAkRiBmEBCDGEYwMUXYqukLqpZCtWphOtZruJRwvEoUgmoVglpZ4b008PGabwRunfbtrCWpL57txdwsSS0hgAxQFHXtJp+2Bf7wr/UTVihEy9zKEJWO5JskcX1aVUJkyJ1T+KZ2L6XejFdq/TiP9fLWGVVJmNasMo4U8Ekg2pXyuINU0Km6OGnad5N2ok9k6/h/pIoOL9HWevoF1qJKw3yv9RKl9eOJ+nFyRkkKDqU0fkDrPBxBq9fk9fp1vTcJPccySzlzwdi5Y3zZfUz5HQSlA3jVurGrjLPo3h1coPHVwd0fe1XkTN2f5YAIYGEAH235w8da1Y0zpUxKZU1OUWxKKWaZlNMTpJMc+QsChUcaqk+3eywCXLQhGrwuFvN85YZ8dCDxbHHgnsCeAMwD/AKIL1/hmOXK29bQfXoonr0kj26SF6dSt5dit5d8l7dJJ9+uv+QWvCoBn+U4dosa1Iga5gtq5cuq5uqqJ+urJNM00+nWlco2NYwHMu2e2cHHItuK4i4WOh6Nv5gk9fGIlu1VBPVk9brG/x2tvL3nbTbGLJH6ZgW46g2O8pgdZKJRqaxSrklt9NZrd9NvcVRs9jhm4mio/ire9IJx7/4mCMMw5dwEBNAgOD5hYa0OIut+W67n003A7y+2FUcZ/FNtiG925kz7KPZ67u22ombfOAvGQf/VGpOyrdVG8nzFj67CEggknqvf0iRwP7YBiMAAETgOCYWY2IRgf9uIvJ3rwOckKiw8aXH16sjnY7so6ZqU3IMWYkHlGJ2y6VpK5+yYDe5avYGfDUQtLnNb+OlquPo3XMk7bfFERJ/GJ8+IBX/dy2o/yFS0e+QipatrhGAAEdC6excjCOxQCzCEAFo8eF0U/uxw9Nh257EbH0WteFV0g/PMvdeSt5/IcNk4NjBckuVM0HrniRtuxu76WL8nsXpCng/C5I6tdSHfhHQ43dX68/kej1oS0HvbwH2FsMJHAHgAkL0jhDPYyBeJOAdRogBYZgQwxaBEIPEwBHDABcBIQJcKIkzI6SaNySJyMIJoZgQEEgEgOMgEuFLYkKAIREOmBjDMDEmyTJBYhwtiQDDQCSAhef41bbzyRYZhoxYQ/a5hkTh63tSKwhCDIQkJA8Af/32Yv10itkYb+uE79pWJ26hBT1RTzFWVz7LRL7ShtTvq9HlrtHkuvFBgesny6WZZaQu95sIccAIAESg+WeX6pLr3b+b8lvz8ITGfMYGPH/bUvb3b9O/f5r43Tne2k4XlT7/b05H69ws9HrSnvDmfC3+eBTeXwVcUqIVIyQiiCUCXyQIgRgXLhEiDBAuvTxw9S3hlDtIsUgk2eezPEs5HgVMjwKOX7lKcDOb38MMHWYHDbDcanXiBntmhO8BcAIDTIQQ4ADVw1c2Wkat2B++QidhxeF4Ga0IWe1IZbNMjk8zN2ycwZ+k+PTsjBmN7npmkTKkqJ/wuX76KstiGeOTsgYpikYpVJsCTmAPgz/KDJ1geDcdjOkaeIw/EhKRFRMM/cgvDsWtNMhZcThV/nC8kl7iKv0kebtKevAwK3ySwetfHdjq0vjYtugSwyL90/2xCoZ5cvpZcjpJyoYJ8obJStYlNJ9ubuiUakDvWs+KyI6bdzFYAni0BLGN1zRtsslWpRSnJgWLSppNFc2skGpeQLYoIlmXKTs3Mny7WSGTpNDLSvyLW6KvHs68aZhx0a7w0pHOR6VX35xfgKn34Fd3V8mqQM6hmuLSTHVsZLg1Uz1ayJ4dSl7dit79yn4j9MBRtZCxNaEjFIfqFfpZq/TTvzictFI/Xd44W1Evk6yXRTYtZdpXr3XO2+V8wtvLKY+nW2CvVmJFybZkF3lur46wn6xNn/11ZKYvL8fha/4vcie0mRF63Ch9lSTj1an6jHJLTq+7xqCnZp2t6imX7642pcLiMwDxv4VUnBBIzE5B+PJ8U9Yx42+izLbdHasHWLjUUxZvvS3bkNbpzB700uj2WVtmr5Jw4PMMrU9PWZALbFS7Uxxe3x4FtPARqb9d+/+RB/q745+/EnAp/IjXt8+eOmJ54gA1XYeaa8iJ3auUcICaocssMee0eazvD/iqP2BTR8Dm6/VRsPAC/meRCv94ivqbGfzHOTYCWMSRAMGyyEiES9PVxfNPL0wU+I9E7HmUuf9l+vYXSV/fifn6XJL266HUx80xJY7fNrqo30z86Wb8d5ORO2e70+DlHakQiBAThBDhb4G4P3+jvivJqi/LTfD0NMA7AhdjYgywJcAXJBJhMYIlHMORCCcWcWL+wyKEEBMEhiMcA5EIiXGJ7Bnhkm44AgeMgCUMLRAgABAQsCjGF8T4ohiJMMCWMGxRKBbjBJJcRZEAsHlYvA932h+XuJ2yYKebrR7MCxS8vA6AA4EhSSz68lVGc79eqz7extvV47Opx211vS27yIKWbUrONiWVWii0utCHAtc3uGjWef30pjP5E+k6RrpLKy1KSWOoEQDC0dsH5ypj6jy+O8/f8jLuKyzzG8j/AQq2w6lfUOmeZwlbhlyVKgz+WmmuUOPAbfbdOhSpe73A41FjxPz5KnR/BOaugegJwBuAeUQIMIQJJTVvAl/CsQVANxdRYMUozSZxlU0uzfMU3bOI4p7H9DnFDm5m8XuZ/GEuf4jtWm2RNnnuJQgl4WtigUTJ2Dh54xu7uM9387/UjpXRTZA9HLlK+4SSaRrbq141ZJTFn6D49v54YjCq86lz7hkl/YTPtBNXmubJGGUpGKYoGSdSrU6q+reyeQOc0BG2b+OeiLaWm/NPMEhpuqxiGv/5wdhVRjmy+hlKeikkg1QZ3VR52ypG0DA7bJIV1Kfm3+hSd9+t/Jqaddbn+2MVDPJW6WXJ6aYqG6bI6iXJmRUwvHtVQ6e5AUOq7rUB9TfOY+guQPHpuYMnusiWhRSXNrpXv5JDM9WhiWpdSbWuJNtUKTvUkz06mP797OBxatg5+YBxsnsH16N5bUD7N+H9P0aPHko779341Ld1bnvM+VUO9Qpe3TKOTfK2NXTnWrpLNdm1UcmzU9F3gBQwRueNcYOGWO5NJIt8Wd0kZZM0BcM0OaOTK/Sz5A2yGJaFiubFdKeajZ4V31ge0zYwDbHTKg04MJFhd7cr+eWN7sXZayCaA3h3tbcg3kQzbI9irKFqtL5KrIFqhsWak6YqNbaqfR6aw97rqq051V47Hw6dAvztv7mpQACICcAwwAGfv3+mrTjUJsff+P50D4Do2mBNst32HCNGlyun33N1p/faXEt23MFVuYbyVXasYhvV5gjjp1d6AAQYoP8kUv8hQP8ZVaWp6wAAxOOLgwUBulGHKCf1GCcNVeIO0HItNhRZbigxV2333DQQ9HV/wIauoC23WxNA9Bo+7J8h/H8GqX//3j7+/B1rJVUbhCQhygRChCTqDgAAlu5MtbQlOIxE61xL2P8gedeF49vGM2xFj8eJO2OVgQYnjVjTx7bdTvhhOuqnR40R8OwKEosIDGEELkSYkBAimH/57FplYVRJztHZZzcJwBYRvoBhBI4BtgTiBcAl+gsMgQDgPcBbSS0XBxARICSQmEAYgXBJcZWQCjaWpDoBQgQYATggARK+AewNoHkkeIfEQhxAhKQyEBwACBxwATYz9qQyoNNjQ64xtTfRZvHRNIAAAYFjBCbCkTQDCkdLsy+mKvtizeo8vml2W9/ooNrguLraUbXOWaXRmdnvzZkKXtfttabCaUN/kgvxcPITyfe93FW6HGoKgCMCERggEcw/ulAbX+m6bdRn/av4H4jMnZCzE8/+EZXsgpqDePX+J6mbe1xWVZj8OUf7vwoMVlXacutdNja4fj0ctvdSiuW9yrDnwwXvrnXiT8/DwmMgFiRdKxiIRMSSCIgHAuJY3QDdJvYL62xljzKKZ7GSax7Z6xSD10oP6afzR1T4IyruDQ4501fegggQIRIAIcIxhAN0nrv7g1PSX38O/EIrWkYvUU4nepX2cQWjZJZbjSp/mBMyTvXt3XqkN6LrmW/5VZJ+3F/2x3xpdFLGKFPJOI1snEgxT1XzbVTh9aqFDnL9GnccbS67+OIxAXm9d9dYpXy6P1rWKF/eMEfZKEvZMF1GN13eppoRMKQSMsEJ7FHzqXWtvhtYd2udfc6X+2Pl9HNk9E7K62VQjDJkdZJXGeWwfHpVQ89yAsdYHs0WhZerHkD2xcUDsWOqXu007z4lzyF5twGSazfNtZvq2EJ2bFJ2alN276b5DjGDRtnBoyphE1TvjpUmOZ8eSvhSP0PZoZLj17mGP/TN8TM/JtzYHHddLeqaaswNBd9BRZdmmlMl1b5Y2bFKwb1VwXeAFDjG4I1y/Xu4LlUsi6zPfwr8Ymeg3IETJMN0BaNsOcMMilWerFWJkmOdmlfjGpsUU5+4pvrmudvn0NyvgM8CSLeahe8ftOfwww7SonQYSWZrovVV4o3VT1qtLbbWbHbW6HPXHPFeV2PFbeIdeHWuGdD8/wFSMUIkxDEAMb74+OXNsdlfh0VvHgGIboy1pjr9nGvC7HFX6fNS6/Ren2LEOLpnVZaeQrk1s8hKpYZ/cGa6CUAoEY38P4pU+NCjTdyeaD7pvjtWi5pjxMo0VEnRV2/l67YE7CuyXN3ivn4g6KvBoA29wd/M9KQDmkcfkAq/tXn//4VUYrn7YrkQ+6EI/KEdY7lQLFoCTAwEwgGWAGYBfl2A08+wM48WuycvxcZERPnZVETYD6Y4NkeYjTdk4qLX8P5FQ4xf9AH6gN/6W9Ffnw7/+tapALD3OrEAACAASURBVOLRRcBxIQHvAWYB7hBw4T1MzUHF5JWi/vGxZ/NXBXAX4JVkB4/AEC4GaZ+bENA8oDcA7wgQCwHeAbwGeAXwBuDtchz9HMAjDO4swbUFuPQefl2EJ0jig0EAJgBsHsTvQbgAhFgEMAfwQAy3BHAPg+c43H/yeqAqO8flh5NWmiOJlm8uNgP2GiRl0A+toEgE4peie0NT2W6N/ttrXDZV22lU26p1eG/u9f9qIGDtiK/q5SPrLoRtqnNYXRew52ZnPhK9+ISQ3o64JCxMLF1GAYaLMNESIpZA+PRSc3qpy7fNdirXgr+ejd6xkL5XkLtXVLwPrzpE1GsTLbrv6g/fTPq6w4NaaPBl2t6/ZB5cVWLKPmW1utRuTYXbt3V+u7qP6JzNdLlbF/V8pER0ZxheXILFewCzAAsLQOT0T6rZR39mlkp2K6a6F5Ccc8geJfTAVnrIAJ0/xgwa5Hg0OBWcv/IORAAIxwCJcTEiAIauPdrjk/nZrsDPtaJX6CfK68as0jomb5DAdqlUCx7ihExQ/fo28jvCOx4HN9ylGCb8dX/MlwYnV+hnKBhmkI2SlU1SVb3r1XjdaiEDXP+mrWGN2ZOPngFUTDzZbJ/52d4oWaNCBaMikmGOkmHmCt10OetKesCASsgYN7BLzbPateJWeNP9r5zyVuyPW6WXvVI3R143i2qYRTLIIFuUcHz7ufwzHP5phnfPt8cGbCru7U66SHVtI/sM03ln5b3GZVwGFF17WV6DdPdesnsPyXOQ4j/O4E2zg89w+WOcgG6aU5m8YeIX+4//ad+JPx1K/LN+joxVhYpP95rQqS2Jtzel3tdIvE0LmSB5NCvbFlCsTiral8q5Nir49CkHjtAD+jQDO2zyL59ovWMb0/qtZQx5l8+XP3rLH4xU0k9VMsuVtalScu8iu7dyXUqCSicezEtlMggwSeEbiKXZu+dKjtuFHaSlmqunmGtG6bETjNVSjVWLrFa3u63tdV094rmmzkat66j+/LVuSV/d/wFSF8VCMb4E6D3Aa4A3EjeT26e7M933Fphxej1U+jzVuvy35DtvOXqIknBQtsCYXGLFrfTfdWuoFNB7ibRZuqH8H1n4w+/X/v8fr5Tu+4iv9ZenO/yQoE3NM+Gk6nFPWn59MS9gItmh0HpNnZPmYMCmEd6m/pBvHwxmAywt27j9zyAVLU+aMPg4U0Mfr9gHY05C2gQhEgAiBAC3RND5HNKvIt/BJZPqFwZlDywq7x1M7j8YVeOQ0eST3eCeUFAxdOEVAQRCYzVFsTqqbQ7MqyFqA96qk2mO4kfXEcBDgIGXkHNtIbD/iVndI4vmV9YN9+3qbzm3P3DvfXz83FzR3fmLQngOsLjctQZIBPg7JHqDcOEigvNPFkqnHmZOPT556WXx7XcTBJoQQdcslF4XJ0y8DemZ9Wh76tL+NHBoLu2aoO05/CqGt5K2UAJ/B3BjAdpnRJnn3oUOv/LqfeE3+DJi/HV0503n8FhbS93ChOCXN6ZA/F7S7wEgJiRmPIAAfwuPRh82RzT6fV/luOaUlVq+EaPKXr2ft20y/PuzYZsvh627FfHVsJ96jdumcyUhSw8uACH4ZFmVT/weqYjABZhoAYgFQG9/HSgu8dxeZs7tcdQ87bPp12M/Pkzc9Sxjz4vc3W9K9i7UHsbbzYl2y/cN5rfT9jQ7sTMPfJq0+9MUHeV0U06WhVq2mUq+MaPMktPovKHdf8fACcPTGS5XKsJv9mQ+utTy5tWdmqGRTY4nVhjG0F3yGa7ZFMdMqnshI7CZGTrACp0g+/bQnKvt889ffAOLgAhMCIRIYn09eWdWL6Rw5d7gLw7HrNBLlJMgVT+O5VyuFtzPCRml+veuCWrjtTwIbXtAN0n8/GCsjGH2Ct0sGb0MkmEayThD1atBjdetGjLADWzdFNqQOnLvFUDT2dnvnLO+3BMhZ5ArZ1CooJetoJ/1hV6GjHU53b9XJXSEE9jNca9xKr9zvO3J1y4FEqSu0MmR08uhGOWQ9LNIpkU0106q36jakYvckAmmV8vqgHaVoAFm4AQ1aFrGc1zR9zTJZ0LRtZ/pO0L3HlL2HCL5TlKDzrFCLqqEXlDnj2n4NVLNElbu8Vuxy+eL3bxP953486HEP2ulrTTKV3ZoUAuZoPPGKfwxdtgIxa2GZJFBs0gj2fxv6t4zqqpkXRfe97vnnL13d9utkjOLjIBgTm233W0WFJCgCChKzjkHiaIgGZGM5JxBQJAkZjHnnBWVtNIMVfXeH2vh7n3PPffu/u4+3zjfHDX4scZgMVlr1lNV7/uEIimXOmnvHsWgsxy/ziWBzeln3z3H8GiaHbr3NrvxslnASXWTsIWbI34wPjp/bxknoF/Bq0XDqyq+5+krAlwA/pyoHIAQint/pDPdfUfEVvl0G+1kC7VEc062nUGujXa1s8EZ3yW9LppDXnpNjovOJO7lPxgUQeEfQSXEsHwWWCFGLKYB8wDNACMSRMHTK2fyfXaU2mn0e+uc8dbpC/uxJ9k2/cCyFBOpAgvZmkPadQG/3mnPBuoDiCN//r+GVCxOLfgHIBUTAOp2d1H2gZVpuxSKbTSPm6oXOv/yuiPjbnlk8cElNYd0zgYuORe+9Gzk2tfDBQAUIUSckvlPglT0twTpr58RnntNOMd/xWjO34gLMD4FKRdnTKveriz8bFQhXFwt0CkT6FVSy+qFy2v5a+sFS8s+rCt+Yldzv/6h4DPAvSsXk/csrdwjdS1QrcdTq/uo06fnT+9PwvHRz2ZF91Zn3V164ple4Rft4lm9ok9rqr+sqPhgVPLip9q3Wysf+fW9bHgpeETgMwCPAMYIGD4R8gnCXzAUDT3fFNm0IqZrS/Ftm64PQdcF3udnbds/7Tj15uf8N+sKP64pn1pdM722bmpD7QfzhrfxV/mDAngK8BCg6sF0YNcbk9In6wpfrTg1ubhiSr/008rSdxtLHm080u6Y2dhz57kIyhnRB06EIo4zYB7MPPzYc7QzcE2Ng3rlPtWTu+UyjSXrHHVHI9dfi/3xbtzKlyk/Pj6yrtlJvT1yx/SdbkCzmMCf5kKzMAbMfl2tgBAsxEgARAAw+/HumeYYqxN71Wv2a7Q4arccUh/wMbgSseJm3KqX6b9O5G+dLNrBr7aAdgc47cJrtr9//OcGZ8Wjxt+Fb/o2fPP3R3ZKp++USt8+P89crtBGI323Wq6NXvGhZVW+G2oidzWmeSXF+6/e5yO/J4njmKPmlKV8KEPB5aSKX4NKeK9q5DmV4LMqno17ss5d/IgFQDCmAQtESUH3PvAdkuu//c3vB/PkHyzSFponS5glyFilqLqc0g7t044cUw4+qx3Y5t/6NK7/rdaBrHnGSfPNc74zzZWwLJS2OCFrfZLj1qgbdlYrekQ5qMMwuj2x794MwOiDL9v9CiW2HpYyz5bafULGMk9uT/48i9zv7MpVggY1Yy6qBPfrhPbYlj1KHphd41X17bajC6yKJPaULTA/KWmaJW2WLW1VKO/UqhZyQS3qqmr4Rc2wQVXfTo5fHydoRDHwvIzfmELwZaWgC3Leg3LeZ1VDzqtFXJMJuKAUelUz8pqK31kNz2bnUzeOdD90zWw1sg5dsN7pu5985m2Kmm9yVGJ3hqJjpWZALydkUDV8RC20T9GtUsoiWWJ71A87E2UOlOqGndUJ7uM4l2+KbKq48PrzXGoZl8Dd99Pt409Di0d/9S3TdTip41yyzLfcNrOv4dant0i0RyACghlRjLhg9kJbZZTVmtCN0kfMVRJMlY9aqmfb6eXb6za6GZ7xXjzsveis56ImZ70rJzzwi4uABH8QlRDCFAuIFsMGDYQGLOYMvBofKAvYWWLLGfDS7ffV6w3/5VHz0ZpIq4StUifNZeoOald7rr3VmAqCtwAIEYLmkk8JzIkM/3Ouf9+b+t9cSCR1JQTw7LXG9By7JUV71UpsNFLNtQs9t/OutT5qPFbsuLLSQWsoyHA42GAoat27sRIgfIxYkfsBEJZgMTMIA2IAMcCwczyCf/SeAURkCGpuMADoK3EW84DwARgasRQhAoAvAJ1PhF71j37Lubfs5HujU8LFtbCsGfRr2MW1zE/dsLoN1rTD8ma0om7m5/JX9nXPGx/S58cfZniZ5VrI9XppNPquKknwzz3V5Vf+YEPqfa3EuxoZb7ULZvWqQb8BjOrZFc3siha0vIVd1Uqvrv30S8VT+9YXObd514UwDcAiEPXHMcAUwLGOW2qHCha6VOoev/Jz/cdfGr+sq5lYWvxWN/ftooKZxVVkcRMsbYOV7bCiXrCi/NPmmk9eo8JjdyHqAnfTyTsrcp4sKvyiUS7UbiYaTaBZRxbVMUbVgrXl7zcV3fVsfVp9V/hYCDwAigCLaZqaBDIFvCdvB3KH4zZX7pUpt5SutVMrsJDPM5Np8zC8FLP+TsLap8nrXqZuGPTVa3Rf9rzzOOG/EvXW/iS24wOMQKw/E69gWET+pwH4zIc7w/khOfaGOVbKhTbKebtlymwUGw+qdzppng9cejN67YPE9e9ztk0W7ZwqNRHUWbKte2bqLG6kb6r3N8rcq5i6W/a4mXT85u/D1v81dMP8iG3KYRvlQ36eH7FxYcQWmRhLPQ/rn1ab2itaJSrZp6s4HFc4kC7vmKfgXasU2qcaNcYJH1bxajJJ7j37UigAgjEfEE808Z5Psh4Zrd/+6jPf7Mh8y3QJ86NS5olyVikcpzLt4F6dqDHV0EF1/xb3xoexA2/1HbMX7IiVNEtfYJYrZVkkYZYnbV2o7NKkHTqsEj4437NBM7wltP3mDMDDCb5dbO2CDf5Sxomqe3Nkd6fJWmZJWOfN31+pHDTIibwkG9CvGnrmt7Srvg2vV3jW/HVn+re787+3KF64O1/B+qSS1Um5PUVKLm0aYReVQy8qh1/Uj7u8KHxoUciwTuioeuhF5dDLiiGXlUMvqoVf1oi6qh17kxM1Lhd8XjPyqnrAWTXXxm3xfW2PZz8SeMVlOi49PlJx1iayVMMk/Nt1HtI7olTtsgz8GnWDOhXd6zT8GrekDR/IGTaLrNXdd3yBSbyczQkFuzwNu/T9Ka2jz2b4BDDBiKFEPQ4uwAs+jD6dqrn0vvzim4abHy68576nkJAAIiwBliGIFYk0BDND9YXBpstCN0onmColmiofs9LItNEqsNNpcl3c66k35r940Euv2cXgVmkQvB0HVvCPn/kBQNSFYAHPpRuJ9ppipHg93l8ZtLPUltPvpXPGR683cvPUxfrenKC47Qq5u6Tr9quXOSy+VBJOph6JjC9Ez/AcpP4nxsD9IUjFrAhSMQg/XCiNzrLWKrdTL7FRP26lXx5iwzwdfdyeXey8tuqgzkiQ0XCg3mj0+vcXygAEhGXncpAQwfB/CakA4vb4V+kB/TdIFQLmAREgwvJYLAD4BND5ing1v1+eeFE3+c7yUt6KejCsgRWNsLaJXV7OXVH+Rb/gnV7BW538N1onXuqcfK6fes2x+ml2y6WEINcoc+0Th/RzfHeEhYTbxtT+nDCun/xSN3vaoAQblBPtU5RRPfNjG1pZz9Mt/axW8FGtaEKn5INh4QujzJub827EnZ24NgUUiJEIA3wmkNg4ruFUOM/h1PyAbqXU6yuqJtbUz66uFRqV0zolSLsc9BpgaSusaoUVDWh5tWBZyccfiz9sr5r6Me/louOP9AomNcpBpRbUW4DTBBq1sLgVlraDUR1rWPhmdc4984L7R868H3mLJ4iotMjHn+9+HC4aTDStP8Spsl5YaSFdZ69RYq1UZqPc67f02uG1DxPXPk1aOx65rMXNYDTNgXl5DoBLAFMAf5qTCeKvpwNx6RpTgEXRJjQIJx72lhR4bkwykcu2VEw3lUvZIZm2Qyp9u1SBhVKNvWa7m95I0LLzoUuuROg/SVk1XbIZ1ZmSVjte04Evdfs/NbpNNPs+q/G+XODeddwlP3RfqtfO2H1rIswNgky0g3Yvsd66ytDYQWFfhqxdrqx9pvT+HCmnEjm/NsXIUfmoSwphI3Judb/GtHY9nOQDzEUEYwLwagYH5p1esDlg3s6k+ZYZEruPSpklylkeVXMs1gk8rRM5qho6pOzd4FB+Pfvq7KbQcqltoVLG8bLmmQt2Zv5gnLnA/KTMoQaN0CHVyNGFvm0qoa1uteOvEXxEkNp2R3N31L+sdJy/MUDZPF7BLHmh2fGFdhXKgUNqh8cVIi/Ihp3ViR74MaZP06linnXhv5jm/Tfj7Hk7c+QscuV2Z8la56u6taqFjCiFnlOJOK8dOaYdclY7aFA3/Lx29Dgn+qZS1E3lwze1jzzQSryvEjWuGHZJIXCY49ujcrDit7DW4pGJNwL4igtcljz8yKsbfhqY07XaPk7TPELfIX2Vb4WBW9GG8NqI1gcXPlK3v/ALzz53yTxjc7Tb9niPV95A6dkHr3mitC8a01zANAIiEHv3wTQB7u/0joSmgRECIIRFezzC8ib6a3KCTA3DNssk7VJM2qmYYsHJ3qtZYKvd5La438fgQqDRkI9+q7vR7bIw+HAHCP0HRYSYAPvVke/vEYK8udpTFbCt3Fa131O7x0O3N8ZE+GTkYm1GkqlmprFkvT2nyEajP9WZej0u7tKKi4N/ZzD5n3H9IUgV96YIIp8fn830TDNTOGWjXLxHNX2vUXuqD/vh1rO+kkLXnyoddM8FG40GLDoX89OHS+UANBCCCUGEAWAJ+SdAKiEIz0HqnK8xIZgGLDr10xTDzmLCA7jNA6f6p4ZHx5VjLmmkPDYs4hqW0fqllG7+tHrma6WE+7IRl+UjLsmGjkkFn5MMHVsQdVEifNggqt80ruGQb5iT7Q6f/Zs83Q+YeSZtCO82SnismzJhkDu7oohedYoyKv2iX/hSN+u++pGrSnGXFGMvS0dd/CFkeGHYsGLUOaWQPv3w055V9wae05NIXMd5JYCIsrP6h7LkDhZ971ixwK9NJfac1rGbOikPOYkPlZOeqWdO6BfN6Od/0El7qJ58l5N4W+XwFaWQIa3IUa2IIfXDl3TTX2rkz3JKaK0qoleNjCp4hqdmOLnvZI8+VEkc10m4wPFr1faqs8gYyz334dZnYBn61Ujd6SiTBmft6gOKFTYytftUqvZyiq2Uaw9qDYesuBm7+kni6odxq3s8dDpCN70fLCGCtwAsizBD4E9zhZr/CVIxYHquSosABF/ujVZF2iTv4hTs0TyxR+OYsULcJunwDfMjf12QsE063VyhxFat3lGtz0f7coTR7cNLHieteJW+/n3+1slK69lGR6bbHy4eg0fVzLv+2Y+Xpj9e/fLmwqeHZ95dbb033FhTVbbNM0na6pjMvkwZuwzp/dkLDhYs9GyUDh2Ui76sFHVBwavlp8jmptsTXACRebDocf0ogLjyEbkdod/siP/BMkPSIkXKLFHWIln1YL5OQIdu+DAnZEjFq8mx8nr9C7I/pVXyZ2fJDT5qFimSxsmSu9IlLE5K7K9WCepXP3xRKXJQNaJ7e9pA5aX394VwVUCOdN9fbB//5xU2Ej8dUtoaJL8zTm5fgYpvr0rEBamwc5IRQ5yYIW2/Dv2ALq2gfgXPrgX2VQssTy40Tp2/LVlqd46ae7N6yKBK+Khy+LCS32kNv24V91ZV7y5O8IhKxBWlqHGFqKuKEZdUoq7oJNzQiByTcWlUd64wTew+2f/2FR8wACAh0NPAzIq+EyHAWyHqv/02s2kstfly5cUP9eOT7Xembn2hZwFogE8I7k6xN6ep27PUIx79nsZ8MQdeNHOYOejBQGiEWISxmOtNECCKMEICZO7YTNjZ92fK04JM9MK2yCbtUkwykU8xV83eo15kp9XiZjDku/hysNGon36H19J7VdHw+SGI3/wfnuQAooPRV0j93e+iN5faanw3VturnvHQ6nLTOZNgwby/daen5qjF4uNb5jfZq53ap9GbYMd7NAqIByASm2IiZgAy/7UgFZDgxXh3ol2mqWyljVKhlfLxvUuHSxPJ9NNXo/UF7r9UHNQ5H2I0GqQ7FrteDKkACGMWUeSfBKlAECbiADjxNp4QMW2e0ABIiMT9wfq708uPjCyMvCCfcFMn64VB/oR29nuNjFeKcbck/M7K+3ar+7Tq+raoOlfoeDWqebcs8GqR8O9WDTq9JKBuk9dxc/eg3c5uW5yCVnkUGAQPa8c91Tn6zuD4uyUZb5dlvNBLvcOJH5UPbpf1qFVwq1Fyq1VwrZNyqZNyb1YIPKMaNSLt1SLneMoifaj+1vRLBvgAz4XgldOmvidBzbFA3rVCzrtJ0qNZzr9XzrdfwuOMUuh5/eS7ukduKAcPKPt2qPj3KgUOKAcNyHl1qPm3q/m1yXu3KUecUz32WD37vX7xjFHhhMaRcamggfn+A7IhgyohfWrBnZpBLdJOVdKHKhb7NvgWjnWdOVce73tsF6fcVrXWWafGUad+v3aZpXKJtWq7x+JLUWvvxK16Er/qTszqZhe9wTRn4atrADQReVsB/AlATPKAOcmz6BsAgokoMRgRAMRMPO7JCsuwNCy20i2xNci11jlmrh69QyFsm2zYNumwrZJJZgqpZrK5FnKFlvJVe5UG/ZaPhq05F712PPm3B+mbX+dunSq1mKo7MNURQG4Wwfs+4F0B9iGQtwCCF5+nD8QVymz3U7KIVNsXp+ZwTMkpV9m3XjVqUDn6kkbsFRW/7lXBDaUXXk8gYDFFWIGI6j/JQnrzNVXzmD9vPfyDhRhS5XYncg6c0PVr1QkfUg8dVnCuscoaGePCqdEHP+6LmLfYXGKdi+KuWPndR6UsM2UOVikH9CqHjciHDCiG9Gj41i11L3TOHyt/xL1KQeuLmeCSM8stfWRWWS9c6yC5NVLdtXpR9LBi1IhExIBC5KBmcL9h1HnD+Ku6MRfU/HtkbUvmbU38blOclFmmqmuDWmCfWtiQWvggx7/zp6SxH2P6Df3blD1aZN1b5f16lIL6VIO6lbybFT1q1b1rVoY0+lZcP/OMN8GK1HiAGYYgAWABEEZUOxbNh2kWTzKYPyfMBSAUJaRYlhUHgABvbtAig6a5hAUkUsRhLGIdY4QJEfUoBAB8GgtpIII5Pzc0PTFUmhFqrB+xVS5pl2Kiifwxc6XsPWoltlqt7gbD/kZXQpae8zfo8ll+vy4Opp7AHzRkI3PNEWou6PF3ZHPh63N1td7rGw+o9ntotLvpnE2xZScevbx0Jsth/dHfvm+249TYa3dGW07e6AFmRmRohQjGInMrQv8XglQMAOjTncHWSPOTFvLVNgond8un2a680VYI/Lcfr3YVe28pO6B1PtjofNCic7Hr350vBaAAAGHMIIqIxJf/l5BKxKYbojVHDKkYREspsDQQQgNwAZ5wIazuKiesUyLmAiflhl7WPd202yrxlxQjhzjBnTq+FWu8T2zxTt14MGKrc3REQVdy2y3jY93qXhUc72aD4O4lvhUrvbNXex7Vczqu5VHH8R/RiLy3KP6xfsJd3cPjWtEXVUP7ZTzrZA4V6biXbYpssk/v9y69ElBzzzLzooZXg6Jvu3r4WSm3OgXX8k1JnSfGnj/H8ITAwcwOCeNoxQP5is7Vsu4Nir7dqoFn1YNH1INHNAL7Nfw61HzqNbxqDINatPyaZd0b5H3aFf3adMM6dUJaNII7ZAPaJUMHOUdva6U9UDk8KulZK+1aoRHQrO3XuMi3VtOzbHFIk2ZQp6Jv58IDFQbOxX6JpYWpST2pHkMJuytcl5c7LK6x1y8wUy7dq9njv/La4R/vxa18HL/8cuiydt8f77dkEN4E/hqwRvCf5ki+/x5SiYhJK2QBYQD+5J2O0iKHn04YqxRZapXY6ufv08ncq5FqrXrUSiXBTDHeVDHWROHEfqMK13XZFouObVfNt9GtdjVs91s+Gr7yetSS+3FLXqate5mz5VGe+ftG7y890dxzmcz9Jpi+w596HXc8Y4WJjdEOG31jWx1TJ1ULf9VD6RqBTYpBfRoRoyre7YZeldl9T97SwBAWsYxI48YHKDpzV9s64V83Rv5gkS5lmSJpGidrnqC6P1fHt0UnfEg9bETeqXpzdNfwO/YtixsG7+/zP6ax0fGb1fv/st7jL5sjpOwL1YP7lEKHpQP6FQP7OAFdqp4NHI8qo5BGh5JLNU+4Txk8dP9lXF79Trc45c1eksYx6j712vHDirFDMuEDysFDamFjSqHnVMKGOYE9snal329Nmr81UWZ3hrJztbJfOye8XzOiXy+817vlQ9ltOuXMO/sTF36MaDH0r17sX2nkX7Y6+NSOxCb30nMlVz7d4+FZAEQIohFBhGEBYQTAYERjxAAAi1iEhXMNYAIIARIA5mHBLGFpmOPKCMnc+Y4QisWYAMKIYSmWsASApRlEIcCAEBJtXDDhMZgnILQAgDtn5E6mJ86fyowyWRy5RS5pl2KCscwxU8VsK06xnUabx+KRQKOroUvG/A26fVc8bEiAmefkq7fmPzzN/wNIxYBnX5wtq/VY03pIbcBTs91NZyTjEJl8yXtxtybI8tjGBXXWCnV2mnV+W14NVwMzBYAQAEsQJswcpP5ndaj+GKKKuaDCJ0MNtf6bS/cqVe+TyzWVyXX65eW5FqC/cB+erwwyLbXTHAsyuBCsNxy97vVQPmAuAMGE/NMgFUQOMlik5hIJeQgGIBgQBTSNMaEAZgHOvRCYxdXLeddJhQ+pxZ/XTjqvFjOoFNyp4tdg6F/2q1+aqZOvuZXZ9s0/Bge633pwb5rFHXc+mCc0SlllyjvVawV1aQe3qHmXyjoWSjs3yLj1qgRc0I0aXxR9WTVsTDFoUNGzQd+3xizlTHzbw+4H/Edc5gONXtOk6vL0Sq/SfzVJkfds1gzvV/ZrkdifvSm25tT4x/5PxPJY97ztsXJ2xTKO1RJOdYp+PYo+PdrBwwZhQypO1Yp2ORsi6wLqbsa2P/k1PGZkhAAAIABJREFUovmbXcn/z86Uf7HMknMr1wxsNIjuVvRrlApoU44akPFrUfKsMMkaDGh/sjNlQMosXtIkSsosTsE2Q8G5ghNwWj2wT+lA8Xbfk6cHrzAzLx+1pWfsW5pjqVNuo5dnqlJmp9cbuPZqzLr78SvvH1466Lt49Ij17K0+wCw9Z47DMNQcpGJRDVysnxANhIEmICDAEgBMT9891x5unbNTqcBMudpep8Zeo9KOU26ncsqOU2ynkWWtnrnPYCTTY2Kw5EpFckmgTbLVksTtiik75YvtOM3O6t0eqkOBOhcPr7ic+OONYxsepP78Knvjx4KdVLs3fyCxL88/OcQhwN3K6aC5pZ3Fesu9hja+hq6ZS0NbVx4+u8inZbFrSWrng1dCcV4bwYAxUABVo490bZL++69h8y0zpCxTJU3jZMziVe1zdHwadcLOqoUOa3i3bYvqrLv8cRKAIvDk42x24/BG9yOq5iH/9qvPv+yIV/Fp0YwaUwkbUQ8b4YSfU4y4wIm9rBbap+pWYpnaef4dVwjARfjG8/dxxZ0b/XJ13QtU/GrlQ9tlw88oBA+rRV5RCr+oGnFOJ+Isx6Vaxuy4pHHSD8bJ8gfLVAM6tKIGOMEd2oHNCQOfX2P4iODSG7b5xkTZ2NPisccVF5503P1w7TPzVIg+E+AD8GmW5c4CRREMXBqELCKACRFbgRDAGGiGMDRCrMhkByNANCD2b65KBFgkpm7ThPAZFgEwiBYyPAwUAM0ghsUYA9DiQGMWIyHDCimChSLfINGphff+anVarKlB5Fa5xL+H1HZ3/bEAw6uhS8f8DLt9Vj9sPAKzL/5JkEoAELBfnvedrHVd3u6kdtZbq91DdyzHjUy9YWcn+lI8UzdJVZpK1u7jlDqvvddxEuhJUc2BxggTFoDF+HcGFf/s6w9DKgGgZq82ZBc5rSrfq1htLZ2zS7o8cBf3wSgAT/DubkO0TbGt+jn/RRdCFg1GrnnRmw3UlNjGDdP/VEhlAf8OUonI54khDEIEBABvGWi69nG9V4HSoUoln17NoH7tkH71wB5131Y9r6r13pmWHsEH9u3c87PywU1qbaWHhfx3CIAL0H75+dawpoXWRfLe3erRowqBrRKuNT841Eg4NCl79OmGntOMGJUOHl7g16fkXHYgo//0Y95bDNy5dY8GGH/JM/Y7+d/W+v3FNF3Rs0Ur+LSKe6XGoSz77P7MsdnNMV3fm6TI2J6ScKiWdGmS8e5S8OvTCjqr49ep43pqR1zLiXOvH9Pk9jvewdi67zf4/fffov70W8xfzFMUPSoXhXVqBLVyglo5vnW6XqcO5g31Ppu5LgTn/LF/+9Hj2598FmwJ/2F7rOSeLDWvRv2wMypOlToO2Sf77wswDFTnhm7VTt+lWWihnWuqeuqA0Wn/tZei195PWHM70nDA1+hpVRh8eghARAouDIAR/feQOidJAzy3SxU1UEXeBJOvLhSGn9ire3K3csMB7UZ7lSZ7xXp75br9anUHdfOtOUnb5VoiLXl3TwP/Nfr8/N3FtrN5obmuG+PNtBN3KhzbJZuzR7HcUbPRU6/NQ3PQV2M8RPtmkPqTuKWPjv7yuOjQ7cqQCwXeY0X+vYXBZcf9jyeGHD2WlJiWE3+iyulwobFHclrj+Wc8LCCYRpgQIuLmdV1+uu5A4jfr3CW2xyiaJ8vuSpQ2TVKwz1PzbdWIGFGJHFP0bF8X2Fh58c0kiGzKQEDg0Qx7vPXcTx6p87cHytikafq1aIf2a0ecU4u6KhN5TSJoVCVkQN2j4rewiobrr7lz9b4pQi6+EaR03zFP7VgeXLHIv0rTq35R8Gmt0F6tsD7dgA6l/UWSJkfmbY756+Y4mf3FGsGn9Q4PK/u3KLqUxnQ9fUuLHyC+SGoHMAvAm6MF8gEoAoRgQEKgBQTh37WuxeRGAhgDQyGKRkg8pUTSPEIAAWZEJ3pArHh1pBEWMCwSxdxjigCNgWIwwxKCASiWYcV9HQYAIwzsXKI9AAv8t+N1x2MtDMK3yh7ZqZi0QzbFVD7bUqXYVq3dQ380wPBq6JIRv8WdvqsfNB8B7ktCRI37PwJPc+zqv1FJCQJMAz35vPtEncuyLmfNs146He56V/O98ZfnWPBlpCjmyDbFIhPJelu1UgfDm/VHgXoHQLOAKcJiwhDCYEwTMVlV/Gf+Z3n77+5g7olHX3mEImLmnI0eO2evzhJAGBAmWLwSiXyQRE4cYgNTkY8l+spYFX0zZPLlyMngk9ZqlVbSZRYyaaZKdYmHqA/3APjCL/fbk+yK9nFGfHUuhywaCVv5oj0ZZt8CYjEBhEXmSoQQgoBlgaaBYYDBIlOzOXdY0a2Kxu90UL8bBAFCgBBgjBBmsFhsSRBGFC3iKs0CPOFB8dCLlW55HIcyNc8uLb9eTb9eDf/T+n4N67xPGjsF2VibOGw3sF0nmeW/89PzMYJ5NKIIIQyB1msTW0NqNQ6e1PWvUw9qlvdp/vZAzff7axVdWzWD+zmh/T/4ds1zrbPOGOq5NTOJgAYQ0CzLiLwZYfzpjKlvzl/W+vzb1qT5tiUqPm26oV1qrqfWR7a7VD5dGdg63yxdck/BD/uKJJxqFrq3KYcMcgL7lZ0qfw6rTT3z+C4P+ACX77w3d02Zt8ZNateRP2+J+9OW2IUOhVoh3boRfWr+LVruJQdzB4Ze8IQA96Zo66Smv/zoIbsjSmJr+F83BC00ParqXKbt16rr367vUXH09JN3fNyQn+b7i/pxE/UTZuo5uzhlDkZd/qsvRa58FLfiZojeSMi6T2dPgvAzQ0DknsUiFkD4p//100bEDdS/f5l6NFib7bg+zVyldr9GzR6ZBjvFhoNadYd06h11m131yvZxCh2WPOs5AexnEHFlmS/Ct3fuDzV0ngg/4WeauHd5rJn2UXON9N2cPCuVUzYqDQfUO110ujwMuwN/6onYNnp4+80U09sZe8aPW91Kt3p6Yu+zE9avavxP54YE+zilFpQ9+jRDA7CAMBbBAryc4GZX9v+yL0p27SGFjYEy2w5L7EqV2V+q6NulGDEmG3lBzr/H0L8hvf/xFwAkkhJjMUlj/NVUck2/cUi+vmOmulspx79TJXhYIWBY0adPy7dN41D+GresrM6br4UgmNtMieKY739mOy49z2m/HF0xbBJdpX4gQ9UhT2ZPuuSuI9I7ExdsOfz99kQp22I1v+5FUUOagV0aHhUx7Q9f8sToyMwlXqK/1wjiv+EMgv8VAoh2HOSryvHf48Xf/87vXiNf/8jvvDL+hgriiUfEcfYACGbfXGtIi7M2itgun2KmkrJDLtVENsNM4eRe5SY33SE/g/GI5SNBhu0BKx93HIPZF8Bi/L+63f/4Em2dGFHVHovqfawQCAvU9L36tCbnFX1u+n1OWp2Oi55UhMLUY8BfrnXmJ1jqZW6XarRVL9ujfu6EJ5m+BTArBIoGBgBRNF9kWUp9jUH7anc6V+v921FM9M9ilhAaAUMBIwAkACQUbQaJkGAeIC5BXIx5DOFTIGAwgxiE2bmvkAAQjBCNCEWAIsAgzFAMw7JzZHyWmho/3RlhXLhrfp2VxElzuaPW+t0l8Qz1DmCWnrx5NtOx2I4z5K19K9LoYtjyJ+UB8PkhZliWJaLEAYRphPk08CjgC4CiCMNiBiEGIcRilsUMi2kWUywRskSIgSJAA2HEn+3XgTAQIJgVUgKKZZHIyRgRhmYxwgwCHoFXGJLbrhu65Cg4FKp4taj5n1YN7OcE9Rn4lG92O3zokK2XxXLLVRJuZsvvjHYAsAyPhykWWAIYKIDusVu7XUIMTF11DqVIHSj4q235N3aVss51nMDTyqG937tUavtV5g+95tKi3g0BwtA0n8ZICDDycHab54lv1vn/dduRby3zpFxrlAJaVfzaFoWc1vFrkbbLl7BMl7HOkNybJeFQJOvbIRc8IOPZoexU4l48cn0WpkRVi7sftrunf/ez/8KdSX/eFvcv2+Il7AuV/XvUwweVPRpXBFRVX30/CUADjD6a2hZcMu/XAGmT2AVbwxduDZcxP6LmWKwb0KEd0KHpXJrZ//KLgLQXpbmvlUvaIp+9SzVzl3KejU67z5Ib0cufRBvdDNC9ELPty5VWICwfxDIZmp4FMvOnPzIH2E/3zlXH2KdaapbbchrtFBrsleodtesdFzU4LWp1WVS7X7XIftGFolD60yMMiEU0QQwQFoAGdkrw5s6ry6cvNWZXxBwqCdlzwm3LcdtVyVYGyea6ybt1E3frJFvonrTVq3EyqnJbWe68tM7V8LS30UiAwZmwn3J9dznaW0Rn5d/9MM2ImeEYE0wjjACmKei/9DgwpcZwV4jcxoD5W6MWWmcpeTWrRQwpRYzI+nXo+dcf633ygQACDEgA9AywQtFBVQhw470gtf2aeWLTiqBao+D2xQHteh41q30rNwaU7E+orBt98IYvClQAEaVcNI8YAB6BNwyOKB+UNwn+5regBTsTpE2TZHYmLNwR98OuZEnbEhW/01rhQ2oBnaoup4Lrbz2fFUEOQWjOWv7/pL35T7nEd0FEOy/0FVJF5TYx7mDCfX21IT1+r1HkDvnj5qppxgppO+Uzdivm26g2uS8a8je8FrliOHhJe+Dqx52pwH0pjpH6AxcmmAFMA2YJBkQAEAKGAozI53c3iqLbnQzHvI0G3fU6XRY/q42BqSdAZh5faEtz+iVlq2ztHk6FtWpPgtX0034gk6LWNQPAZxkhxrQ4aXJuA/eVW4UBY4IwIZgQhmBRrRIjDDQChiUsRTBFiCiWhgaGBZolAkz4CAQsCBgiJHNyJize9gEiQGE8ywq5QIscLVnRJ4EACMGfnt2tPVrpsqRir3SjvUK2ufxxhzWX2kswmgYQsMJn56vCix11u1xUr4fqj0cuf1zoQt5cBZZBjHi5I5jBwGeALwRaCIgGkW4LM4SlgaGBoYFmgEKERoTBhCGYAcQCQsDODZGFMQGCWYJowAzBiGYQLa4AEQFNuAReUBBbf1HX4biyY4GST5NKULdK6IBacM9Kn8I97v7++7d5/CLtuF6yOi1o9tMrAMAUIb+r9Vy4On7I8eCyX7fpmntLWyR8tzf/W9tyaedateAzykF90i7lJsf7+h/NIASEEIJpIAJCKAZgCqBr/PNvrrnzNoR8b3zsG/McCccK1cBO1cAerZABjm+rhN1JSYtUOcsUGevjMgdOyvq0KYYMKHi36/tWJnXeeM4AF2AWoO/6m58dj/1lvf8Ck8Rvt8d9a5Ik51CqFNCrHDyg5t1oktgx+IQr4uSeufXuF9+Cb38NkTCJW7g1UmJ7pJzlUXWXU9rBPRz/DnXn0tzhdzMM9FTkuP2sGPmrdNpOlXRT5ay9mvVuOpfDFj89vORemOF4ktn0tQ4gNI+IW8EE8QD/QUjFU88vVCZl2BgUWCu3HOI0HlBuctJpdF7U5KLX5qrb4qhVYqdTF2H+7lo3EAEA0CwWUCwr7iwzABTQ0yCYYCaefrh34c5gy0hzUXdpasvJuIbs8KyQfT67DA9uUHHdudzffouf7RZvq58i7H7ztt1uY2+/Ya+787GaS2/4QgDhnDsPX8DwaSSaLM+ncN3QXa+0Vr09sQu2hqjszzUMadMPO63oUqFyMC+s7uYTPjAAQDBmBJilaUyEBCgCFMAnBFff0/XXP+QMPk3vvZ8z8LDh2pvBR19uvOV+pgmNCYMxASIKNEJz1E4BwHMKx9ScV7OInr8tQso8Wcr0iJx5soz50QXmaQvtTyn59qiHjagGnFZwqfA4dfXxlNgq7L8ypOK/Qeqba00ZSfuWHjZRyLBUy9ylnGmqlG2pnL9PrcldfzhwyXj06pGQZR1Bax93pQHvDXy1TP9H74KwBCHCEowQBkbkV0EjwIT37M6FFKdeJ63xYMNhX4NWn1XPOtJg+jUAM/30ennYvqTNspVWqrU26k2BW56PVAH9BQHwMfAwcMVulwwmfEwoglmCsHjfj0UdAowQIiwiFMFCTCiCESCCCEYEYZEeEyNgiLgawwMsAMQAiwkDiEYszbCIZQnDAsWCgAAPYAZgGuAzwGeAaYJokVsmEeKZ12/PVrfFWOU76FS7apbtV0zcIZ3vufXVpR5g+JiwLPP5YkfWSY8VzS6qt6IM7xxecTfLRnivBxiu6E7ETA1MI8LSQGgCLAaMAGFCASMAWgg0BTQNDAsYYYK/VlK+DgYQAgRAsZimBJgWAkMjmqEFFE0JWZZCmOVTDA+TdyyktVzR3RcvY5ch5VYu49cqH9Ch5tuwKfBEeEx0bvCeGGPFTIdV78Y7AAQsixGBj7Po2svp6x9mHk7ym86ct3c4uObXzUtND6qZh8rYZC20L5d1beaEDCn4npZ3KvVvuPdMKKpHiYyneVx6UgjwGZGTXbdW2KUs3BgjaZ79za4sCfsyrcAO7aBereA+Ve/GhTbZkruPSpsny1gclXM4Ke/Tohp6RtmrcX1EY/W1119ElTQCLeeeLN8X+6/rfBeYJPxgkrDQ/JjKoTI1/9NK/t1a3rXOBWO3vhAagCLQcuHpcuecv/4WLmkSv2Bb1IId0bJ7MtQ9G5T8Tsv5dOh4Veed+8AjcLmvztvYwHH5N4nGiqnmKmnWnBJ71bN+ug9jVzyOW3UnZffMxSpgvjAYKFHVizCA+H8MUgFNvTxXV+D6c7a5UrODetN+5WYnnWaXRa2u+h3ui7o99KscdE86rrrZkkUEH4CwLCFCRPgMohFB4rzKuXzH3x2cAAiA4NPrex21eQFu+zZu3rBiw8YfTSw3WR3YsNN6rZnDKvsInb2xuw439T/jCwC4FGGRuFZF0ZjBIEo8pwEeTZHi/js2cVVLDqToH0hbF1T9W1TrjriWrN6HL/ii47SY18AQELKERgQBsIBFJU6Ryc3MnIOD6JGmWRaxtDhknCAMmCWIJpgP8JzCRxoucXaFfPerr5L1MXW7LBXrVDmLlIUWmfPtyxT9+zgR51RDBuQ9Gw8VX733SVRsJBhjmGt0/JHP/590/UeQStjfQyrw3t5oyU62Wxa/SyHbWi3HXCXHQjXHmpNvq97oYTAUtOR6zJpzocu7gtc96U4H/tuv6qd/uHNDGIJYYMRZTxhYJOZ8TdweGzhsccZF80bEsoHgZXWhm58OVxD+FwCgpt63HQ+J3aJcZqnadlC3xfPHuzUJ+NN9IDTLshRCDMEsEEwoTHgYUyxmGQyseBAWi9Sdc0abGGCu/gksAgYBTYAmhAEWgZAAT3SmA6AJIYgFRDOUQEAJGJbFmLCYCDHhEjIFeJrgKcAzwNIgBJgG3gv2441PQ6fGEuxq3VaectWt9tFN2ysTvlWqPHzv7MNrQAlZhBA7e/1MaZHvTx0e2k+TVj2KX3ozZcfM+VMg/CBm4tMEGAwswoiwGFgkznZHGGiChQTRBDEEIYJF4lfMinpYBDGEZQjDEpoFCoEQYa6Q5vEEFIVE+1cGAYOIQMin6VmKEQgwngVoPP/EyC5O0jp5oWOprH+7gl+rskv+dt/knOPxDfH22ft0htMd2ffjBHGFDOICdF17vS+2wexwo1feWecjp7ZYHly3xWy16SHNnX4y5kck9hXKubRqhAwpe7XoupzMG3zCBSDAIOEUZiYZdmqSnp0BuD+LPDK7VHfFLth+RHZvwbdmWZJ2hdr+zbpBXdpBPSruNQusMxaYJkvsSpTcfUTuYL6Sb4tqUJeya9XW2Ob+p5OiqTqD4VTPnUXmEf+63n++SeIPOxOkd6eoOpZqBZ5W9m7VcC0Nqrn2lE8YACGGyv7bOvtSvtkYKWkSJ7EjWsI4Rm5fLsevTSGoXzGwZ0lQXdG5V0JCXtwYiDn4yx7Df4vcJn90t2rqbtUTlvKtLho3o1Y+Td5w55jJVG8qcJ8A0KKFjBAWCPWHIBUB8HiPx5rjbLOt1KtsOY32Ks2Omi0u2m0uuj0eev3ehk0u+nm2iwazfeh31wk7QwgSN3Yx0HguMF3U7SV/GyKiEAagGOHV27ejsot/tA9QM3bXMAtc5ZS82vvEEp9ypf25P0U0t96fFnPWv9b+xQw+QiHgs1gAMANw9fVM+eDtzM4rZWOPm+986nk0fXeS4QMAIQTRBCP0NVUDI4IZjGiEEAuYQgyNGQZYBFhMyhH7c9NzjvEsAQYBwwJDAXwB6H/0eX9yrbZllOTmQNkdEWpWRzg26VKWmfPtSxUD+jiRY2oR5xT8OmwKL9/8QBFC/n8Dqfx3t9pzj+1flmAqn7tHLXe3Sq6lWu4e9XxbjQYPw6HApddj1oyFLu8OWve0Kx347/4opCLANGERpgEJEUIUAhoBYTAw/NdjrX0R20b89K7HrukJX1cdu/vFjdOIFRIAVsAbKMuI27moYLdSn6tur4fR+HE7+kYLCF8BmQLMBZZHWD7GfIQFLKZpjCkMoiFgCY9mGYIwYedq8QSxmDAiMGWApsUbPgaxLAgRCBAIMAgxMIhgliaskBAGA0KIQYgmmMaEYghFgUAIsyx8AfYdCB6hj+enr1Y8b469k3FgLGB9p6tuvbtGhZd6ko10mJlKXbI79e4JIBoIAfrLs8GyxtBN/b56H46ve39s2e2kDR+6kmH6MQDGNKb5LKYQ0AgzBDFE1PInNGCGMCwwCFgWswhhBmGGYIawNGFolmYoiqUELMVHDBdhLotmBIJZiuLRrACL93TTCLgYeBTD0jzAfCFFUQCXnk5u9kqXNk9YeKBINbRXM6xH1SV3m2fkiaPBFeGmxW6rXvdlA/8Vy1ACgPs88C0cUbDMmG+eq+tcudar6Ee78PVWnst2uihtdJU2OSyxN1/BvV07uF/TvXKtS0pZxyDNnQIyBYJ31NTLGd5nHuAJgKrxTz/5lizckTB/d5bc/rLv9+RJHSjQ8K3TCW7XCexScq6Yb5n6w87EH4zj5pslKRwqUAloU/RpUXEqMU1ouPRmhgJAhEyzkNl4RXVH6F9+CVm4K+l743hpi1RVx1LdkB4Vz2ZNp4KYphvPuMAA8Fhyou2ygmn8t5uipI1jZIwjJY2jZe3zVPw7lcIGlQI7f4qqPX3/IwD75mZXkttve5b/NWizfPwu1RQzTvZuxWo7tdGApQ+O/HI7edO7Gi/yZhDIZww0QwgCFoD5Q5CKASgy/fRqbVL+weUFVkp1+1UbD2q0OGq2u2j1eekNeBt0eywuO6DbGL5j4mINUBMALCGEQSBEhEIi/TYhQDABGoGAwQKG0IhgIEKGFSIswt/Hk1TJ4IPdMeUq5mE6dokG7ic03UoUD5zYFNPSfvcTEmMoIgQQIiyDKAFFEAICFI1oJEY+as5UkTe35UQYE1pAaC5GjNiBBwPDiqpLNGCKYJpmeDQzi8Q8egaABSxa9Flx6CZgUe8VAUMD4QNMAVx9z8/pvbU7snyRRdTCn11ltocp7UmV2Jen7NuuFjqoHj4k79NqljUy/pqPEBJhKfyXhVR2DlIF7+905qU6LE00lT6xl5Nnwcm1UsvZo3HCTqPOXX/Qf8l41Opzwcs6A9c+7kwD3ltggWDASGzR9H+8WEwoBAzCmGVYhCkECGHCCmHy8dOWo8Oha+5EL35wZM1ozNruZPOpRz2ECBggiKEudVQftVuXZaZw2pkz6mtwJX7rp45E9tUQUC+ATALiUoJZhhWymGYRi1iEWSw+pyPg/04KMQPi4BkaA2YwYRjCiFyQucDyMUvTNEvRWDwYlmaEFMMXYsTDMCOkBRSfIB6QaWA/APUUuDfgXT976xR36MhEk++zQpvbx7bejvv1avDKXhdO3UGZokPyCTZykbYGLXkR1NQLEH6GyRfk2ehEe9KF2E3XQ5fyszcIc9Y+SFr34JQf/eYyAI0Q4vEpWkAjikZChqEZhmIZikVCmqEYAYP5LBIytJClaFpI0xRN0QxFMbSAZmZpdkbIcoUMX8iwApqhhAIWiADgHYbnBF4AvAJ4ycKEkLAMBfQ0f+azgGEef6aD8jrUreJ+sEhT8m/XjR7Q9ivb7p94JD4kM2RPVbzDp/sjlJD/YRbf+YJOjr5b7V8ntafk+z3VUg5Ni7xaVnuVrHU5vsgsSPo3TznzIzL2pWr+fdoBPTrOhesPRiWkHr852Mx7MUZmHiLhBwEwHwB633Bts85w9p9YaJErve+U3IE6CdsKBccaDZ9W3aBu3YBOBcfS782Tv98RO2/b4Xk7E+UdizhBnfIedZquJbbHmm68n2EAA2E/CyG6ZFBqU9C3W6IkzY7O25EgZZ3OcS7XCuxW9WzScy1O7Xrwkgc0wBSNEisGJbZFfb81Vt44Wt44Qso4Um7/CZWATlm/Ljm3ip2xp66/fMPMPrranBi1V99u5Z/9NsrEbFc+bqaWa6FabKnS5qRzI3bd/ZRfnuSZ8S5kw+wdQmZYgliCCKA/BKlEdPZ/d7Gx2HtjhrlijYNG3QG1Jge1DmfNsz6L+z0X9XoZNDjplR1a/KDuMHCfAAgB0QiJj/qEiJwkxM1XMdcEI4IosV/GXKzAexb6H39Kbrl6KK3Nr+JCSOv1mJ5bxVdf3JsUMhgxjIBFDCYIY4RYFtGsOCdX9A4EEAGaAEXE2lUBIpgQwggINSPSLzIYBBiE5KuhAQ2ID5gGYDCmMKZFB0IAwmIschFHf9tTExYQQxgaMRgQjTEX4AOGS69nywbvOCfXL7U5LLPVX3p3koZHlaZ/m2Zgm7RjyZa45kvPJkVVVBGSipDlnwiVf+BrhP8YUpk5Cqzww73OvDSHpUk7JfP2KOdZquZYq2ft1cyx06p20x/wN7wWuWo0cGlnwJrHHakw+xoYQtAfglQQIqAQsCxhWMIgQlghoM/o5dk7BU7nQo1eHFv1PH3DlaSfxtJ2Mc87AGZojAjL3B3pzHLfdsxEtsFe9nLE8hupu8ZLfZ6MnpqauMWCgAU8i1kexjTCiGaBpoAWAEUjmggQfKTJtY/CgVfTPa8nG59MtL8jTeL4AAAgAElEQVSeucXAJICAgBAjGtEIcQmeIewMYWZZwSwt4AspIUXRQiEloCg+RU0z+DMNX4RIQAmBmQH+K/RylHf11PSZRG6L72T5vo9529+m//QsafnDw0bjYUZn3Bc1H1CospPMt5eLMZcJ27ektzKJ4T6G99eYi2WfavzfZpk+j1/zPmkNlG6Fkl+fJ6+5kmk/c7cX8CwGwqUYnlBIUQJGyGeEfJri0xSPFs4KKT6XEc4yAi7D47JcHsPl0zwBxaMoPs3MMswkw3xh6SlE8RCFkJAFWkjRzO33s6WX3iaOvDl67VPq1Y+1d/lP+cCnaeHnj7Mf38zMTL3no7ZrrzZ5ZcqZJco5V6oFd3F8q34LzvaMOhwU4J6Zkjh6fnzswXTTlYnomhs/hzVznGvkHRq+t6mf59Cp4je8JOLs2rD2ZS55irtivvktcoFVvoZ/v6Zfl75H6Ub3JK/QiML0mP6KlFsXOj7zJh/z0Mnzz6yzejVdiuTsyxQPNigfbJG1a5Sxb1R169b2PaMX0Kfn36Z4sGCeWeJ32w9/syXqm52JMo6lasHdMm61i32qnLO67nycZggDgN7zwDOr67sN/vN2JEhbpX9rnCBtk6vhVa/s06bq1bjMt7xo9PVHBhiACQEdcrJ73uaIBdvjFUxiFEwiJHeEy9ifUAnoUPBr0/Q+ZRWT09nbNFQdU+i7NnynrNevP3j/Khm+WS7DTK3ASiPPVLHSRulSxPKXWRsfHt/wtt6dvOgC9j0BFgFmCP6jkIoB84SvrnakuKSYc0ps1GoPqDcfVOt21er3XNTrqnXGS7/TXf+UrcbZJGv+40HAs4ShEBZXhREhWBS7QH5nbEEQYSmCWPFhHn/tZMFnAg+n8XMGXgK8BRBFWbGYwVgAgBFmyFcNJMZichEGEVsPzYVT0oQwiAARCY34ohRPBoMQz7l1EFFOjBCwKBQeiyu+BDAATQiN/xYVzxBxLZYliEUMEAphWojESbk8gJdcqB+955hUs8oxRWNfssbBLD23AgOPAuvkhjvvphFiv5ps/u93qf/g8fn/zZuIY8ExEEaUkSbiORKWAtHqh0G8S+04cdzeMHmnRJGdWv4e9UxrzbQ9Whn7NMtd9Pv8DK9ErDgXaNTht/JByxGYeUkYYGlAiKD/4GJZVvSTZVmGYWgGUwiELKEZxDAsJRRgehrQ+89XKi+kWZ1L2nK/0PZBlcfZHIeBPGfq1QDgKYahgGU/XB8pCdh9bKd8pb1Sd/DqM6n2HaWx9e01NRcvNj562/uRvgPwGYAmQBBLeNPAmwDhLDAsS+DKm5nAsrG9eUMO9XcOdTxx63sZfeVd5wT/JcAkwDQAH7EUJSAMl9CzrHCKYWf59OyskM8TskIK0xTmUmSSz87yKcRSwPvw4VrX9er4mwWet9Ot7h3dei/x57uxq8cjlo7663S7qdcc1Dxho5mzR/XEXpVEE2mP9d/F7195pzMdXvVyh1NfnTR/nrDkU6Iu76g+k/sjVG6Bol/eJ/908Zj1+4uNwM5QBKYodoai+AIejz8l4E7xeVMC/jQlnBXSXAHDE9A8Hj3DpaZnqRkuxefRtIChBTSfT0/xqC8CwRSfx+PNsPwpCvO4XAFdf/7J7mPtq4+MbMh/vir9jm3546YHgpezeHZy5vObl+9fP3s98fnWm+nE0u71LukyezMUvRs1Q7uWB1VtD8iw9Es5GFXsmd7rlH1xT+rwuqB6JcdyFe82dY92qQN13x/qkg08rxl1aXFY3yr/GqNDOQs2hv95c6KEXbWG32mjoLb1fiXmARneMRnBMcdDjhbHVgx5llz4MbxR3a1C2aVe0bFB1blJ+VCj0sE6VddmLZ9uHf/TBgGd+j71cjYZ3+yI+sEk7rvtsX/dlazgUc0J7ZXzbNLzLPctGLj19guXP8MwwscTQtuEun9d6/ndtvjvTY/O23VUel+esnudvFe7kkfD+tC6qssfRJD6YopyO978bz+HztsaJ2cSK2scJWEcLXOgUNGvQ9G/xSjw1J6QhKRo92NOK+JNJWJNJaPMFAK3y4dslk0zVS6y0czfrVJsKdvjqfH42OoXx9c8OWHCHU2HmXsAQoIRAvIHIFWsV8ZCoN7e7shJt1uaYa5UdUDjf7D33mFRnevC9xqKJT07zRgbKoJYEBDRRNPrNrFEYzSxxC5I79WuYEcFROnSe++9F0tiQ0SQzjC9rjWrPvf3xwBionm357z7u/Z3vnNfz5VrmHlWwSx+c/c7fefsgr2zi6wNi63nVDosKLU3Td1hmG6/rL8sAmgx4mgOEKFNhQV4Ehx4KhOTA8QOp1pzzJjMSwTadCUAJYAKgB7OX9J6U0dzC7kxwx6eStkcDYQNJz4hrUt0mNrDqenD8VlqZAa9FkbDJx0NnI4dJTFyAQSI0NZNjDak0B7VKeeiSu/7RFf4JTaeyr8b0dRR+KBPTLI0zYyG+0ep95+BVIajCGDZkTImDvDBuznBZ7csOL36rdjtxuG/GF/aaHxxy8JL2xZE711Y6Lioxduywd0sz8myNe0IKB4jGlEaYFnumTClaZqmaYqiKIoih4WiGZaiGVJDkBShUcs4WgZ0f2fhhbxj6wou7ClPCijMCQ+PPp+SGiKVdNIcRRAURxCSO/Wx7huO/zAlYvvc0P0fn/Xecfj8OfvwrN0pLb9ktW0rEhz5XVEjQSKtAUCrgBCBWgoaggFIvyX42DN1jkfO0sv3v0oXfJMjWJnZtbuwPbpTXq+ARyzIATQ0x1I0hctJXKShJGpSoiQUKoJRqxCuAFyFFHJcJhZRcoGy+05F9KkQux8i93+RtH958h7z2N9Mwn6dffGnGSdXf3D4hymeP8y2/36u08o5PquN3L6e5vjZpAi7z7vTvGXZDh2XPnl46D2x/z+YwEns+SnMBSM2xByCPhw4/GHN4dUdxeFILcRpWqAiZBqNUqNW4TK1SqJWSQlcQZI4SRIErtQQKpJUkaSa0BBqglETSIEzclyt1MjUpEStkeE4rpIzKqkGETjBQFjpPVO7sJk+FR/GKs3DpUsvtTtlDZY9Zgdk9EB/X/ejB48ePrj78FFp422HM/HG285M3nvNwKN0pmPuPJtYK8cUK6fc+XaFs/YXzbTJmbU/fZp97gf2uQa2mZN3Jr+2K/sNh4q3HSum2KRZ2kev9k1c5XbNeOO5t38KNbDJMnIpNLJPW2gb/4lr2leumcvs0+buTZ6+J3WKTc6U/QVTbQum7Muasitlys6EGXuTZtmmzXLImGmfOt8xxcw+7oOf/Sd85fLW9wdfW3l43PcnJtkkTvUsmeKYbbgn3COm5lYXf0g4KJOJmtr4q9yujl9u+4/VJ1774cRra06+82voVJv0KY6Fk/elfHUgI/n6EJ8AJQstHeKNftH6H3u88t3xyWv93111+I3Vxyftjp3mXjzFMWO+Xeh6ew+XPav8N887u2HS8XXvHvjxA4+1M72+n3Jq9QehP88IXT8lYuOkXJsZrUcWCC5Y9QR+OhC7h2nNBUoILAXsi2ipw4RiSUByWWtZgveGUz/OjNwyO2X77JwdBkX7ZpfZGlc5LKhwWpS7xyh1r+nv13wZQSuABka6irHav1XEAGJHeTdy7pFKkOH2kKP9xTntJIyR9jlapZJ7Ool9NNqkVUw5eBq03OjtD6ubiHvq6qPTDLWB4CfJCOjpQeccPLnqCHq0pWgjt6atsucQBaDkgE9BPwMCAIW29S8Cln2qD/zfAPH/daSywJDAjglPEfz7eZcDfzM/v3ZS7G/GYZuMQzebRtt+EuPwaeQe0zy7BS3elk1e5oUulq0pB0DejhiOJl8EqRo1Qyo4WkURMpKQU4QCODWo+37PvBDstv74QadjUQkeaXXWSY3e+Tezu5QPCRBTiGMYZfe99IC9fqsMzmw1O+24wd7Z7XvXoOVHCr+NevxDpvLbVNma5CGPMkF6h/qelJbRDACDcBVL0kMEezKzw8ojZ5ZX1ZyTd+ZeareI6v46U7AqvfO3vG6vSlFCB9tGgxRATXIKqYRRCUlJF6XoYUkZjRNKESkZYlVyVinHpUKhRiLQDHW3NxSWxQQWhh7Ju+hdGOiVH+iRccY53t82+rhNpL/tlQDnC8fcAg/Zhx/bn+a/ryTgt1vnfukLWdt+1KjzyOuS8xOZyNcg/m02/B/q829Q56ehi4sf+yyq8Py8PfM8J+rQ4AqBVC5VqBVqlQpX4riSwHECJ3CCxNWkSkHiSkqD0yTBEDinUiCFhFVINIRSSWtELNnP4D20op+RS1iFglErRSryYnbTzM2n3tiTsixWuSIDLMPE6+N6A+ulNZ2K9r7BzvYH92813WysvXXrdkR6+YZDsUb7It63yZziWDLDvmimQ9ks18ZpbremuP8x3a1xpkvFVOfSyY4lM51LZjkWTXWp+sC9bpJTqaFt8vfe17yCsy7GV1qfSF6+P9Jo97VZ9tkz3Eonu5QZuFYZudUZutUZuNZNc6md7FLzvmP1B46V052qZjiWGziUGtgVzbAtmG6fP31/5nKf3FVHshbtOPWPr+3e+db97e8Pvbz21Nt74ie7lUxxyllgF+sdW9vc3tPR9air63FOzR+f7/Z/bcX+yT8e/8eqI6+sPPr2pssGDtlTnUqm2qSuPJSR2tzbJyX7xcrs+nvf2p/XX+H68ndHJ60LeHP1iZdXn3prd+IU9/I5PqVmLlHfbLf77afPvNbOPrb2/QNrp7ivMXBfN+/AeuPTP8648OPk0J8mpe6Z2XzIovfcEtXlD+UhH3ee/0aQeRDxrwMnB1L1YkilWESxNIAG1D3XE0+e32pxedOs5O2zs36bUbR3Vrnd3HK7eZVOpiV28xO2G+Uf3iD7PQ8YCQDLPlFRtfrgcCYAM8K1seRCw349bWkNPdx8AD21aSxSETAIaKTNfwGaA/apRK3R+ZJjshNHzwQATym5CI0h6Ajlx14K/oTUMW27YbgMkqVIlh7OgR7po44obf3K0/I3kzZeCKkvJs9DKksDy3GjX0kE/37e5UvbLS7+ODl2q9GVDUahWywy/dblH/3p6s4FGdYmzV4WLT7mRW4WdxM8QHwPOIahgGGGTfuxMgpTLU81WiEUFCEAWkyqBbhSTBMKYDUaweO65EsBjr9s2rP/S7+or6Lbvi/UrMwW/5rdc+mmomYQBmmQKUR50cedf1xgvXLe/u2//Gx30souwcijbkFAh1WI8MtYxYZMYm1Cj01et395R/ad/j45SbBIg6ClW7XzXNVi17z5B5vnnrg76/gfhv4t5pduf5cysDpDsDa+xz5feqFemnVH3CmiNWo1J2hX3islH5WDqBWkfaxYRqsQqeZUcrVcLFFJhJRSSivFuJiPi/ji3m5hdxe/s7On/UFH25321psP7rfcvt1880bTrZaq1qb8vuoYQfZB4dX1wgCTAR999Tkel/QS5L0JhW9Dzjtswttc2BTu4tz+owt+P/7ZYK4/9Lcw0h6FcEAmFkmkEolUJpUpZDKVXKaWSwm5lJLJWJmElklwlQQnpBpaQtFCghHLQc4H6T12oFLZliW7k6l5UEF3/6Ea6u4dEoblNS7afnLc2sBZR2/PCxEanukyP/PHz6GNZ/Nvlly/19zSVF9WWJ2fWVFUEJeW53Iu4WOnsJk2SQbOxQYuVVOd6z5wvznZq/UDv3YDvztzfFpmeTcYeNbOdq8xdK2e7V49y618ul3GItuIzb6Xj58PDwoKP+Afus7pkvmOQCPrmBnuJW951r/p2vC2W+Mkj6bJXs1TvZuneDdN9Wya6tE03atlpuf1We5NM5yqptuVzLIrMrLN3nC6yim04kubk5M+++3NFTvf+6fXWz+dfm933FSPMgO3gsXOSV5RlUXNt2oba2tqa6NSir7efei9j/e8+5Xza184v7Hy0OQtodNs06c4Fs6wTV19OO1a2e3f7z+8cet2TE7FSruTr35i/8qXnv/44dBrq46/sv7iW/vS3nMqmeNTbuoU8+GGPd99Zvnrh+/uWf76rk/e3f7JlF2fzrD/YorXZ28c+/KlqE3v1XqbdV/6Qh7+OXvtcybi08cnFt87t0bVGAmqx0BJXgypGoZjEGIZHJBC2loW57X+/E+zYrcYZG+fWbhnZpmtcYmNcYXDgkoXs5SdRrE2H3XmBQHeC6DR6pXA0cBpHZoUABrb8Zobk6E8PEeIY4FjR1TXMSDTpqU/pTxqU8W1qTI0CwwLHDfKTjRy+uHkaRbGuhWGf7OnYDay2CdHaQ9ET7EcQFvAyQyX1sOIck0RQBHa5ECWo7iRbLEnDB8h5n8WUjkasRyrrZYFBPjg3aygC1ssLqyeHLPJKHitUcjmxRVn97RctQ/duTB595wGT7MbfubFbmY3Y+y4oeuAKJZBf+XpWKQ+4alGQ+BKtVpIU1K1UqiQiQi1HJG45PH9+tjTUX7bt+/eY7TJx/hg8ZeZ6m+yZCtTB9bFd3qXixIeqpsHJUVlGacP2bju27h1t+231oFLnHPme16f43FzjnvTkuN//PNqz6pU+doMyab4VpfU36MaHt9Tcv0AsQ1DK30yLF1ylx5ptjp52/zEDRO/inkHSs1Pt3wY0vZpaOe3lx9+HVBtF1rV0CbglGL1zayelAPidG+66gLZdE1zp5Tpe0iKhgilnCJwtVImFgtEYpFUppDK1GIpMcCX9/SJewaE/UOCHn5vR8/Djs77XW23H9+p7G5O7Mo/0H55Zc+JWbITL5NnMYjTh6JXUMlEqnAiW/ga5L8Fye9yYVOUIXMHrqyQ59ii21HQVckN3SeE3TLRoEgoEgilIqFcKlTIxSqphOBL1INiqUg0RIj5nIQPggEY6ISOZribjZouKfKde69tHYjZTmT6sXUxyvbmnp7HRY13th6JeWfNsVe3xr7rXjfJq2Gyc56pU8zeixkxBbXFZRVFWen5KQnREVcuXL7ic/ryzz7BSxwjjO2T5jjlznIpme5aMc2rafqBPwwP3Zrr1zTHr8HQp26WW+1MhzJDuxwT2+QFNpEf25z/zfmIm4u74+4ddtZ2P+92/2yb1+JdJ02c46Z4FLznWj7JpWaKe90M74ZZvi0z/VpmHrhh4Hdzus/1GV5N090qZ9jnzbFLM3NKW+GevO98/uGw/G1e5yzW7Jm8fNPbn+5798dj06zjZnqWzHbNsXC4ZnsxIyw1IzouOiIy/Pzl6F2eZ63WOc/4yub15bsnrfQ23BVu6Jg5zTFvtm3S2gNx56/lpCQnJcRduxAet8P7/OKfvad/5/L2165v/PPAO5uCZzjmGXhWTXXIXmAfvdrhuLX1LretX7v8ZGmzxnLfSnPrzw1dPpvs9+mrl354rcLZZOjKSip1I5fyI8R/C5GfCs5a3Dxk1XbNgXxcA+wLIlXLBookAAhW2Vkb6RP4y9ywn6fm7JpdsNug2Maw2Nq41H5BtfvibJv54b+ZXo/wYaUPAQit8xQ4CjgcODUgUmt9jxjMWoN/xBuqhSCnbQgypiJ7zBrrPWUBscCwQLFAsUCzw4wbuWmEANGgLTLUZlj9mWJPA3b4nRHPwROqsiPjLoc3a8HPjPZ1Ht3MUkBrgNEghhz1SHDoSet6hJ6Exf+vIPV5UfUXRirDjiCVQ6r+G6nnzm5aeHHV5KgNxpdWGV3aZHkz3LMnJyB83+L47bNq3ebf9FtU7Law4epOsq8GEMGyLP0sGTX2h2FKEARBqAmVHJeqNDKZXCiTCuUyES4TD7beqg71KTqxPfCw+5L1Nm+sPz7Tr8Qq6PaPWZK1WcqfMoU2xf0hN/tLW9uvt90tq6/zvhj3uUP4EveCxQduLD5w09yrbolP9eLD9R9e6f/smuS7qMdrLjf9ElRyubGvmA9+6W2fuCZbOmcu9a1cerhhuX/zssNVVgfLFh6omHekzvR4s+nB6gVOSXuDilse9OJdN/vSfO8d+7TriIXw/GddgSvbw3a1pxy+l3O5oz5P3XsHKfvUkh6psE8sEgzwBf1Diq5++cNeycMBSbtA2ioU3Rno7eltl7Y38RtjuvI8H4Z//SDgffHZl7lrr0G8HuRNgOqX2VJddQFGF46Dopcg+xWU/AaTOEURM1cc97k8Zw/VeAEel6ChO7ioSyYWiMQyiVgpE6lUYpVKKlcohQp5t0Z6DwluQHcV/J7BVV3BU72U0ZsVlz/r9zd85Pv+wBEjNnglZPkStwuHuu7fb3sUnFrxsU3g2xvOvG+TOtW5YNLeayZ7g3aeSYnKr80tqUpPS0+Kjw2Pvno+JPDo6ZN2h05/53xu0e7z860j5tsnGNrGz3TMmO5WaOBRMtO9aLpr0XTnQgP7wln70uftCrPae+kzu8A1dsd22DjZ7d5ut2XD3i2/bNqyY9XWvd/sdF22/6SRfdgMx+RpTnkzXApnuRfP9Kg08KqZ4V073bt2qnvlVJei6fbpRjbRlrZXv3EP23QgwvZoqN/J0IOnQna5HF62du/kj7e9872XgXXUTNfsGfbJi6xDtx8NP3bh4omTR4+fOHrsxFnvIxe2Op5YsdFt6ic73v/CdtaWwLmOqbMdc+baxv/oHXbwdPDpYwf8D3kePnHa89iFnW6nPv7ZZfqX1m987vDWj/4GdulGnuXT7NI/9Ex1C8mOik9Oj7qYePFQ5LlDCWd98k7sKz6wrszzk1uHP5SGfwtZGyFjA0pZg0d8rg5aIj5n1uhhXOm/auhm5ovV+CMABmkj4hxwBDBDg/UJ8c5fXt0wLWvHzLydM0ps5pQ5LCh2MK10tcx3MA/bYVZy3p4cvANAsiNMBURqtVT0RCeF4dQnbqR9EMsBywCrbdQ6JuSERnynMJxrNbIQC9xoSTN64lHQao7aaL7mWUgdSR4agSYaCTQxTzlhx/odnlxWm4HEADeSh6RtXMQghkQsCYhBw45grbNjmPIc98Tb+J+FVJYaRioCAI6V99TFnjj507zg1dNjNs4LWjU3aNPS9qQATVN0nNMn17bOqHI2vum3qMhtfk3wZryrFJCSYUiapv5lpOIKjVKmlkilQ3KZUCQYFPD7eu42lQfaVh5em3vJe/Ne23e+tn75xxMf7Itecrrp+wzVZ0mCL2LafoppOJJ/vVlMXh/CXSKLzOyuGNolmXiVLfKrMfetNjtYY+xbNcu3af7RP6wCWj7xr1jiEb/lStXR8v5fgquXuCYudsuy8Cw29Shderhh2dH6D080LD5eZXGiYvHxalOPPCvH2BOJjX19/ZLrSb+f/vyW42sC35c0Ae+Kjk4dCDB/dObL2wH/bA3aIi04Arfj2Ac59ONqavCOrK9NMsQXSVQ9Ys2NHlnu/YGYP3pj7/ZUNNe2FwT1JOztDF7Wfep1aaAOF6cHeS9D0UtQ+QrUvcRV6jGlGCrRhZLxUKQP+TqQ+xKd8rY82kAcs1yVs5tsDGQeFeMDt6XCXolUIpXKxSKpfFBA9HegweuoMw/djeGazjLFHkTcNnngN0OHTUQH31OceEV+XFd6VF954h10YTETv4O6noR33RZ0d5Q337UPTJu/8+zkbSFTd0VN3xZksTfQ9mzKtYKGvIqmjPyy5Ozc+Nzk8MTQkNCAE2cC9vid+af96RU2F6ysL5juPjt3X7DB/oipttcm74+ftD/+fZv42ftiF+0O/WTn8VXWBzc6Hdnh4rvfwd7Vbp+Po43T/n27dltv2bFn08593+1yNd950HDv+Wn7wz7YHzXZJua9/Qnv2qW8Y5vxrl365P3J0/dFGe0OWrr7zPf7A7a7Bjj6BLh7H/XzOxJw8szRk+d3Oh22Wu84dbXHlK2XZjimGtglWtld3esfdSIw8OSpo2fOnjwZcPLEiUC/E8G73M9+scXb+HunGT8dn70vZrZd+rz90Ru8Lh8JOBd41PPMQacT/idOnbsY4H9mn4Pf11s8jFa5TFrlN/W3qzP3p07bE7fCM8XzSkFcWn5+WmJ+YmRBamJdesS9SO+esD2CyI2auDWQ9j2kr2TjvlJGfNEZYPbogGG7r2Hh3g8K/L7pacnjKM0LJVEBxbAERXFI2wVcSfa3VFywCd82L2WbQc6OGeX759a6mpU5mVa4LC50Xhy9xzw/YCfe1QJAMcPNNBEgBrinfKnDmtuYjkjAcsAxwDLAjUXqE/8lwJ+01GE3ARoelfE0b4ECRA7H+tHI9MJRnj6FVAaNjO6g/3R7MKqYjvKU1maisU8hlQXgOJZmWRoAsYgjWZZEiBod8YTQaCIRy7LP4+m/FakcIG6kMhihkQwqxAJDIYZjh5VplpV2VkUc8P/R6Mo6g7jNC4PWzr+0eXlXTjC05qV7r4zeYlDuYHzdz7zQdUFN4M94eyFwSoZ5Bk9HkTqWpziOqwlcSeAyhUQi5stlQv5gb2/P4447zaXBrrk+q7LOOnq6u1htsJ/589EPfr0waVeUgW/FnICWBWebZ3umLD8YH3pLnNKObwzMM7S5PNspab5fmYlX2Wy3QuODVSZHGxcebDb1rp/rUrjsYJmlZ/rnx/I3XmlZcSDHzDnVyrtwiU/ZAudCM8/KRd7Viw/VWR2tsDiYP98jw9QxYe2R9Kz6Tnl328NEzxs+sx+5Y1TIeEh+F8VO5q4Z4aHzpWfmCk+aCC8uk8asFSTvkBX7Ujeuqu+kqDrr5IKOjsGBrKbbfnE524PibUJjgkK86y/+sytowcC519RBGErTg7KXoVQfKibQFePJUh2yhMcUYlwBBsW6qEQHFWNQqgsFrzJpbxMJs1Spn0qytmqaz5JtmUR3PTV0jx56QPTcVj1sIP9Ip+r88TwbccKPoohP5ZctlOfmKI9PkvqNw49iXJAuipyIIl9HV95DwYaqK1/hJadQRy0reiySyQrv9HjFVf16Jmf98bR1B2J2n4g5l1hc1Hyv6X5n8/1HTffb6u7eqLlZUVOdWViQFpuWeyYy2z0wefexyK2Hrvx8JPKHo3HfHk366kjKl0fSvj6csuZQ4iMvCMUAACAASURBVLbD0S7Hgw+dvnD8QvDZ4NCQ4EtXgwPDgi+FBgefP3/xpH/AkSOHnQ8c3eZzcpXPxa8OhH3qG77cO3KpZ4ylZ9wSr8Rl3smf+yV+6x213jt076EQn4CQs+eCg89duHY1LCY8/Mrl4Jhr18KvpXudvfaje9BHdiGWTtHLnCPXeEUcvJwUGh0dEXE59lpkZHhYxJWI0LC4M6EJPmeiNzqfWb7T33JfkLlN2NJ9gTt9L1wKDk26Ghh3+czV0OCI8KsxV0JCgkIPnw3f7Hp22bbDi7afNt0dtGjPpe89Iw9eyUrIKCzIyspNTkxLSCiNu/Q42k0Vv4fL3AlZv3AJ30lDV3SfW3ov4KMKtwUF1jNz9xiEbZqadWhj7++1aoX6xZCKOMQhxHKsdn4RqPmPSq+F2XwWvnlm4f65NY5zq+xNal3N67ysqrw/TLc1y/ZdKb2dB6xC6zQApEWqNk1qGELcKKyeclMOt8SGP3s6n/Dtr2sElGNwOWyPP1kIDYNmzMmeCumPvatnXfopL+5ffLJomIcjvxM30tn9KbfC0zfwQvR8HlKfmQr6jK2AKI6k2NGOSghxHOJoDlEagkAcAgY4nAVgKOHDwrP7T6yZEbZp9rVt88+smXNq2+edZfEw0FR0YnPEpulF1oZ/HPm4xndFxdE10lsZwGoYiqWeJVqG/knUuFqhUqpVKlwtVyllErFgoK97oPPh/cqMuBP2QQftjx8+9P1vTgs3es/Ycvb930Kn7I6Z55W78FCpkWfWIt8s25we7zLB58fyjO1iTVyy5nqWGHlWGnnXGB2sNznYuMi33sq3fqlv7TLfqiVeJcu8Sz/0KTF3yTNzyTd3K17sXmbuXmbuUbnYs2qJT/WHPlVLvQpN3TMW2Ic7RpZdf9DTVpjQcmLdPe9pqtB3If9dqHgTSt+Agrcg430q9E3V6Zel594WXJzGD5knCF8mif1GmPqLsu7Y/eoLaVnBp8POeZ097nnq4JmzDhmBH98JenUoQpdI0oNcPSjWg2IdLh9DJbpsqS5XwtNiFBXrQIkuFI+DoolQNAEKxnM5E+mMN/DUqZLEhXThelTjCtfPwp0wuHUV1ZxR5nhIEjdKIyzFoTOFQZMkl95UBL+qvKAvP8MjL+miyHGQ8AqkvgXJ78K1d+jLb0kuGMqif0VN0SC6S1NSvoZtV9EP5Jq7g/LbXQP3e/sfDg50CoXdIkmvSNIvlPSIhvqE/fzB7sHe7p7ugY5Ofusjfsvd7orr90tuPCi40Z7f8iivqT2/4WFB/YPiprby5vu1Tbfqm1vqm1uamq83NzVeb2643tJ8vbmlubmlpbGpsbGxtrGpoulGbm1LalVLStX15KqbiRW34ipuxlXcSqz4I73mTmb177nV14urmypqGmqq6+qqqpobGlqamhobGpqamppablU33S5quJ1Vcye6sOlaYWNKcWNBZUNlTU1dXXVDQ31dbW11VXVtXWNNfUt5bXNWcW1MVtnllJLg5LKw9LLU3NLSsor6yrLG6rKa6qqa6uq66sqqyqqi0qqU3LLwlIKg+PzzsXnByaVRmRWZRdXVtU0NdQ35OTmXAi+EHrJ7HG0nDN/Ud/nHB2e/afC1yrSZG77F8PzGOSd+muvzvaHzt3POWq9uzoyS93eppPIXRCrNIA7RLDVcq8RR4vv1yYe3hWwxyrczqXUyqbE3rnNZVOOxuNJrSa7d/FzPT0XNSUCJABDHaT2kIy3Jx6SVvtDMov+CPBND/84Lvpj8+5D6zKolFhEcqBAiOZpmCYpSESSBUwxFsohBwFEABAOETH23NPvoL2fWz7jy66yobSb+qw38d3zTUZ0N4vtVF+2iNhsVWM+9feTzJp9Pqv3+KamNBZZgaO6ZSB1VTv8karWawHENoSZwlUopl4oF4sE+Sf/jmoLU0NNHfTw9vlq/fe4qm5lbT0/Zdmn2jhBL12QLn1wTr1wjz5xvLv++KvQPU5e0BfbJC52y57kWmXhUzPOume9bvdC3ysK7Yplf9fKDtVbeFZaeFUt9Ki09y81cixa5FC1yKTJzLbZwL7X0LF/iVWHlVbnMtdzKKX+RQ+Iy58u+4Zml+Tl1F12ve37U5vWWOvwNVPo6qp3A1uuiSj3IHw9Zr6OMt7n0d+mUdzXx76mjJ6nDJ8siZg/Ef3Qr4Yfca9vjI20SrtrkhP5WG/JNa9hkQRymSsPYfAzK9KBMDxVhbL6WoX9ZxROg6FUonMgV6jAFGJ2rQ2aNJ9LeIZLnUMnLUMb3KHsDSl9Lxn8tubpYFDRDGfSqKkgXD9GlI/RR3HiUMJ5L0IM4HsTrQcrLkPYGpLwFcW/QYS8rg6YQod9C0TF4XMGpB3CGUSJQsxxJahhCRmpkuEamwFVyNa5S4molLlXIxXKZVCqVi6UKkUwulMqFUhFf3D8g6BkQdA3wu3sHe7sHBjr7Bjp6ujq7Hj9+3NHR2dHR8ejRo0ftjx4+S9rb29vb2zs6Ojo6Oh91dDzq6Hj06FH7o0faD9oePhxebW1tbW0PHjx48ODByP6Ojo6ORx0dHR2dnY8fP378uLNz+HLt7e0PRw5pbW1tbW1ta2trb29/2N7+8OHD1gcP7t+/f+/evdbWB20jN/Dw4cMHIzvb2h5q94+ev6Oj4+HD9oft7R0dHQ8etJWVl18IDDxiv+XyLquorcZXNhsFbZ53Yat54PaPzu368pz9urBD1gmBh9IjLzaWFIh6uymVSiGRvhhSOZpBHGK40fJPmhY+rAnzCdlmkmltXONsUus4t9bZtNLVrMzdItd+fp7HJ/1VEaAZBGCHNTptj8mnk5H+/4xU9Hyz/V+X5xUsPXMvYlXASoFRAUVwBElraJpB2uE5coIlcAoQA6q+gZLQOKcVp9e+f+VXw/DNxsd/mHZm33c9zUWg7mqJOx61c3GuzcI7hz+95f1hvdenQ/nnQDWEWJYin4HUsYH+sYITJEESGg1OkoSGUOO4EldKWUpJyAe7H/xeVV7mfPjsgrW2szYHzNoVarjtgrnDNTOvLFPfQkO3nEUHSyx8C4ys48wdUswc0k2dc01dC8zcixZ7FS7xLlziXfjhgVIrn2Jz97wl3kXL/EqWeBebu+ctcs3RLnP3vMWeBYs9Cyw9C5e4FVvYZ5rtDf31UPjlqPiUs97FLl/fc5/be/AVdfg4rkgf1emiRgyqdaFYH0onQuVrqPJ1ruJ1KH0D8l+HnFe4jNel8a/3Jxg8SrFqS/28M/HTwRgzacT7eMIENk+HK+RBqS6U60OZHpTocIXYM3haogPFeqhwHCrURUUYW4ixhRiTz2NyJ2pS38STJmsSDTWJxnj8bGXsVGnMW8qo17m4N1DsyyhuIiRPhPSJkDkRssZDqg4k6UDqeEh/GVJfgYRX2JiXyasfkCGf0Il23PV4ELUjhqYYIDSIJmggCNDgQBCIoBDOgYoDnNFoVGqNHCcUGpVSo1ARcrVaplbKcYWCkCpwiVwtlSplYrlCKFUIJaIhoUAgEAgEQ0NDQ0NDfD6fz+cPDAz0PUsGBwf5/MHBwYHBwYGBgf6B/r7+/r7+/r6Bgf6R9UT4fP7Qn4U/NMQXCYVCgUAgGBocHOzv7+/p6enq6uru7u7t7e0ekb6+3sHBAcHQEH9wkD84ODTE195bf3+/dkNPT09vb29fX19/f//g4ACfPzg0xBcMDQ3x+UNDQyKRSCKV9Pf337lzp7my4EbmlVtpF26kXbqVfbW1NKG7uZB/r26w9bqo+4FGLqQJFUloSJJW4xqp7MX6pY46NTkEHOI44CjAB1pzLl3ZZZawc3aF/dw6R5N6l4VVLqaVnhaFjvNz3Zc/zD3PqXoB2OF28f8xSP3Pkf8rSH1m9tIzOUtROEnKWQpHNMUxHEMjkkE4w+EspyI0HEMAJyW7qm9ctYnaMSv4x/fCNxtf2WR47J/vBzmsHrxTBazwfnFklPUnWdaL7h5Y0eprdcNr6eMED2rwPkIMSWrIf1k0JK2hSA2lIUlCu2iK0CiELCEF0CDEppU2WP3iMmm1l8FvF2dvPmNqc9XMPd3qaIWpX9kC7wILrzxT+5RFtsnmdhnmjtnmLnmL3fOsPLOXemUv8yn46GCphUfuAqd0S+/8ZQeKl/gUWHjmmrpmLnTJWOiSYeaWbeGZa+GZY+aWY+FZtMg++aO9gSdCk2uyEvIPbqq0MRk4MksT8i6bPIEr1UH1GGrAoEYHysdx5TpMFcbU6HG146BmHJTrQzEPCnlQrI+K3yCLPiDyZtBZUyHjDUjjQS4PyvWfrDI9KNGBYt4zFyrS5Qr0uAIeV4QNr0IMFeqigpe43DfY7HeYrHforDfprFfo7PFc9kuQ/RZk/AMyXoP0iZCuB2k8SMUgDYN0DNJ0IU0fUsZD0kSIn4iiJ1HBZuorazX5x+BxDRBSxCCGAppEDMEMTwxQUaBkQcGCimYonGJVFK2mKZzRaGicpnCGwGlcTeM4jaspXEUQCjUlU5EyJa5QakWhUCgUCrlcLpfLZTKZ9FkikUjEYrFIJBKJREKhcJiNAoHoWSJ+jozdIxwRkUgkkUiEQqEW6Hw+X3taLYmFQuHosdrN2pv50/3IZDLVGMFxnGZojiFZlZhVCmmliFFKWFyGKDViSI6haJqhaFpDUio1KVMSCpwimBcpSAUYzpvnEMsilhnu3CPhN6XGuXwZtWVmobVhjePcBlfTWnfzOt+lpS6mOa7LbiUcYqQdY7RU7omfEv0vUp9rs7+QPJOnozVLTwtDMJySRUoacBJpSFajYXBCgxM4Q+NAyYAcoPtqH6X6ZrksTt4xKXHblMhNhld/nnnsm3fDPTaIHjUByB8350Q7rszYZ3HX56PHB5fe87G8f3mX9GENAi0c/zWeUpSGYQiaIkgNrsHVGhwn1RpSrVaIabWE08gB0I2O/vUe5z5Y42aw9ZTRltPzd11a6Jiw7Ei55eFKU6/CZb4lS1xzFu1PNbfNMnPIM3POt3DLs/TMsfLOXuZT8JFfyQKHNCPrBEuPvA99i5d45lt65Jm5ZC10TFvomLbIOXOxe66FW85C54z5Lrkm1tH/tDuTmpzWWxx+/fB3DzxmaYINIXcOFL8J1fpcHYZqMKjkQbk+VOhCFQbVPKjGoAKDUgwKMSjEoBKDSh22YgJX9gqUvgRlulCBQTkGpTpQpgelulCqO0YhfRZVC3VQri7K14ECDIpGViHG5vHYXD0uZxyXM47L1eXyMC4PQzk8SBsPqS9B2nhI14U0bJinGRhkYpCBQRoPUnQhWR+SxkPcmyhkhvKihSpuM7oeAcJ7oJEjhqNo0FAcSbKMhkEEDWoWVCzgDMMQGk5BsSqa1tAkTZMcTXKUhqMIliIYGidpnGDVak6p5FRKSq0edo6r1Wq1WvW3guP4qGN97H75i4j2EPWIaM9JEIRGo9GedhTxSqVSe4j29ehRKpVK+wWgfVN7Bo1Go32tNaqUSqVMJlMoFGoc1zAswXIEy2lYRDAcTnM4xak0tFSFi+UqpYrQaBgNyZIUIl8UqRzDchxiGIbhaI5jEUMCqFXd9YWntoVvNcraPavSwbjBfWGdh3mj34eVbma5zpZ1V51I4f3hsZsIOPbpyqenqpj+XfI8lv2HyP8VpD4v1P5nG5xicA6UAEoaNBRwFAO0BmgVUFJQD6C+6/LmpPZEn8rD36bvMcjeOSnjt6mxm2aF/TT92Dfvxh7cJu35HUAxeKc8yWdDtp3VHd9l/cdXdBz68Prp9d2NaUDLKY36mTb+X4UgSZxm1DSlJgmVBlcSuJLAVbiSptXA4hQuYRHdr6L8InIMN3pO//mQybZTJr+dm2sdtdin0MKvdKFbgaVHkYVjnql15kLbfFOH4oUupQvdSxZ5Flp45S71zv3IN8/YOsZgx9XFbukf+uRZumdYeWSZu6QttE+cbxe/yCl5sVu6hWvaQoek2fvjjXdf2ul7vjrzWl+Kz8PjS6Vn5kCyCdQthOpJUDsB1etw1Rgqw6BMFyp0oBJ7siowqMCgEuPKMbYCYyp1uapxXKUeV4axJRhXgkEpD4rHMLREB0p0UBH2jFWog/L0UZ4+ytOBAgwKMMjHIJ/HZGN0NsbmYpx25WFsLsZmYShFB1L1IU0XpfLYJIxNwlAqBpmjSMVQCg9SdCBZDxJeQmGvay5NUYatoApcUVsOyLoQQ5IcqBAQHJAssAziRuavEiyJI5xgSYJhSRpRFNAUsNRwGwwgWSBpIEkgNUBpaJL4Uy6HVp75P/2p79QxHvZ/8Zn500mePEsj19We7ZkfjXJcC9bRzdqraw/RAlej0dA0zTAMSZJqtVqhwpU0I6dpKUlJNKRcQ6tojmSRtokSRSOG5bQJ6xwDGuLF+qVqcyo5rUUJoM04IljZw+Zon7AdC9N2zS6zm1PvtqDOfVGjj1WVq1mOk0XlxT0awe8ABEKIQ8CyY0qhnpVk/++Q/2Sk/o2O+a/LM3n6bKSStJriVDTQDADHAK0AZS/03+IelBG1ccL0Ew9CrFuOra5yX1awd07W1g9SfpmSuGVW+E/Tjn47Kf74Pln/fQCZuLWs4PjmYpeP7hxcJjjzWdeJFbVHvm0tDEGqflqj0mj+7Dl9dmxKQyhJUkVROEUSFIlTpIom1SSh0agpjZzWyBiWVCJIqL2zZOfB6es9520LmLP5tNGeK4s9c5f4lVm4F1s6F5rtz11gkzfftmSeQ4WJS6WJe8V8rxIz7/yl3pkrvNPm7Aye9uvZJS7xy71Sl7jEL/NIsnSOW2QXtXB/hLnjNSvXBO2PRntDLPcE+AeF/pETcu/i2kfH5zDxC6HMDOrnMlXvMNUvQcMEqNWDMh6U8qBKB6p5UImhcowrx1AFhqp4qIrHVvOYKj2qcjxVMZEsm6gpH6cp1aOfcpWOGvjP4qkWqbm6kKsHubooVwfl8lAuj8vR4XJ4KFcH8nQhTxfyeJDLQzk8lKWDMvQgczxk6XFpGJOM0ckYk4qhDAxlYCgdQ2kYl4pxqTwuRQcS9SBKlwt9VR0ySxW3mm0MBMFNYBQ0xykQUiKkZhHBIoLlVBxScEgNHIFYYoS2NAssA0hbek0iIFmgaKBpxLBozOP7p0fueQ/qX5GqRdi/Lv+Hr+oxlBzryte+qf2UoqjRvz7tOUmSJAiCYZixhiPDMDTN0AxDcoyGI3GGxCmSoCiKoTnEUjRNkTRNMSRBUQTD0QgY4MgX65eqxdNoDhACxABoQDPQXhASab0sfqtBqZ1Rneu8OnfTBp8ldR4WuQ6Livw34d11gFSAEIe086vHphv9L1JfyGz/P8ifgkLax2g07K7RDPcx5gg5yHuQ4BbTWUI1RWiyjkij7DvPbGrzX3v36LfXfVdUOC7K3mmY/KtB3MYZ8VvnXNlkeHClQdwpFzm/ExiR4m5B1alNtT7LHwV8Irn0Ve/pT6v8PrmZeJgStHI0TpJ/DvGPWnljRYWrFRpCqdGoSQ1BUQRD4wxDMCyuUavUEhKXEoRSA+jmgHybf5TJL77Gm4/P/PW04a4r5m6ZVgdKl/pUWLmVmtsXLrDONbEunG9ftsCpxMytYKln9jKPpBWeqR+6Jszecn7axpOL7aJWeCQtc4n/yC1xmXOchW2UmU24pX30Uue4JQ7XLGyuzP/14I92fulxIW3pvjeOL3p8ZjLKN4UmM7Z+prrqLbLqZVQ3AWr0hw35SgxVYWwlRldgZBlGV2BMBY+t5KEqXa5Sjy7Xo0r16LLxXMVLUP0SVIx/OgD1XJ5yhRgq5EE+D/IxlMdDOTxueGHck9c8LofHZetx2fpcpj5K04OMcZCpDxk6XBqG0jHIxFA6pn2N0jCUhnEpPDaZB4k8uIahiPHk5UnqsKVUvhNqzwV8gGNwkiI1NElRBEXhFI0TLIWzFM2RLEuyLD3ceF1bOU4i0DCgoUCj0c5pZRhEsojlnoRY/xWLauzO0ef8v6ZAMAwzesLRP+rRDcxfYgnanQDAcc9ITSFJkqbp0dvTvsmyLIeA4lgKsdo6yZH0SURSFE3RgIBlOZpiEM0BgzjqBZE6Fn8IAIAFoIATS37PSXD75urGKWX2JrVOxk2eZs2+Vi0HrPLsF6R7fiP/IxtYGYyUnKLRFHsEiBsZA/kc+e+j83ny3ze3/63yTB2TetIZ7yn506daeuI4rlAocBzXfqQ1jGgKR3gv21uBN16R5nqL4nbyQ9b0n/p60P+LzgPLW32WNrualtqapO+ZE/fbnOjNc69unBO2xeT8xnnea0yTLh5TigZA0SWpj27yX3332App2CpVxA/8i1/V+S2vvrhH0loJjIYkKRzHVSqV1lH1PFGqVXJCIycIJYGrNRo1SaooRk0zSg2u0ahojZIg5BrEdSmZ0ymVi37xmvXzoVlbz8/eeWWubYK5Z76Vd5mVR6mlS8mCfTnGOzPMbHOs7FK/cIpb5xm+xilwpcvVD/dcnLv+8Nz1h612nP/CMexrp8gvHcO/dAz/2Drkoz0XP7YO/sw2dIV1yPIdJz9fv+/YAc+WpCP3rv549+Q0UeT7qGIuXDchW2YS9e8x1a+iSj2oxKAagyoMVWCoEuOqMLoKo6swthJDFRgqx6AcgzIMyrT+Ux6U8FARD4qeHYkaq65yhRhXiLEFGKc19kdMfpQ7vMZQVWeYp9njUdZ4yBgP6fqQpgdpuiiNx6ViXCqG0ngojcelYVwqj03hsck8JpmHkngQj0HseIh4jwldoIlex5WdhK5aUPSAmg8qPij7QdkH6n4g+EDwQd0PqgFQ8UEtAlwKuAzUMsCloJECLgZCBiSOWI5GQGjHC/6PFpZ70pOJQtqmycPNmTgEHDf8dTI8DpL77yEVDVcTqRVdDdlHf4nYMrvE3qTexaTJc1GT1+IWvyWFDguyPL6SNCcBLYKR7lBoTLI8979IfY78F5A6lqda3XBsWIAkSZzQyET8jpqkG+E2N4M2/XFx1YPAb+75L7/la3nT3aLWbkHZ/vk5++Ym7jKK3G58ecv8S5vNT/+88MhaY9dv57isWZYVflHN72E6G/oyDj04850g6Cs66Wcy4SdhyDf1vlaFR1Y/ro5nVTK5QqEN+MpksrHxhL8gVS3HSQWOa6MDaoJUamglSeMkxbI0RSgJtYxBnJKDrMYH39oGGG48PHPrhZk7r8zed22Bc4alZ5GVR4mlc5GpTfaCnYnL9sZ+tz94h9NJb68Dh9ycfF3cHW0cd23evfPXnba77Vzt3TwcPNwdPdwd3J2snez3Ojjvd3Gzd3exdXXYte+Uy+7CczZt4Vseh1gNhkwmM6dCoxG6aUhcn6apf4etnAgVOlCFQTWGqkZCUmUYV4FxWphqSVo6/D4qw1AZxpWMxJf+NZ6yBRh64j/FUP4oTEeROsrTcVzWBJQ5AdLHQ9o4SBuHUvRQqi5K5XEpPJSqg1J1UCoPpehyyTpsEo9N0uWSMUjBIJEHka+g0GnMlQ/ZpO1cWQDcjId7OXA3E+6kwp1kuJeM7qWie6lwNxXupsK9DLifBa3Z8CAHWnOhNY9rzWNaC9mOOhC2g0bOIZbWxpv/RwvLAcUBOabTHa2d7sEBixDHchzHIZZFnHas4ov6Uv+MVG0NFKURP6gMcoj8zaRg/5x6V+NmT9MmL/PrvotLnRZmu3/aX34FiEEYaXs6Usg/BqnPh+GL3d4L/Uu9IOBeyDb578tY3XOs/I3DfqwvaTT0qVartWjTIpXf150XcezCXqvLexaG75kXs3du+LaZQT9Nu7R2RuCaWWdWzzyx2uDQagPfVbO8fzDy+GG+62ozx9UW1v+0OLB9VWlShPB+s7Ai8nH4LvGVH1DCWsjegsev67v4eY23WabHp7ezL6jEA0MCoUAg0KatSCQSqVSqDa3+WVRqhUqjUBEqlVqlVqvUGoWakqsppUpDkqRSKlRKBCRJUgju9cv2+UcZ/3J4xuZzM3eEzNodPtcu0dKzYIlH0WLnAgu7LIudUV/sDNphe+ykl3v60b2VxzY2n9rS4P9L9cH1lQd+rDmyoeHEL03+m5sDNjf5/1p3bGPdsY2N/r9eP7W1+eSW+uM/3Ty17sH573ovWUmvGtFpM6HaEJoNmOapVPNkuu4NVKGntfehGoNqDMpGQKkN4mtJWoJBCQ9KeFwZjynH6HKMKcVQ8XN8pk/b+8NIzcdQPgb5GORhkIdBLoZyMJSNcdm84ZWly2Xpc1n6XNY4LmsCypgAaeMhZRykjoMUfUjWg2RdlKQDybqQrAspupCsh5J0uUQdlKjLJWGQhkEiBtG6cOV1FDKDDrXURPyTiNmIx2xVx/yKR/2MR65TRv4oi1wni1inurIaD12turJWfnWdLHydPHydIuIn2dUNgss/91/5bSjZV3M9BUQPgcUBnqhp/1NleOrS8FCP4fGjnLasm+O0mimwNLCU9r8v3IL6SRvmJ41FGFbR3XztUMT2+Zm7Z9Q6Gza6L2jyMr/pa1HlYprtuvxhximk7AHgaAQ0jDQrZWE4txXBc9p7vLC8ECVfCHDP0xn/ffK83KNnhnrGBltH00S0GSQEQSgUCpFIpFQqVWp8sL/3RllmwdXDaWfsrx3eHunza7jbpgi3bde89oW57briuuOy229Bbtsuuf520XX7eZedF71tQ465hx13z79y4l5JYmdZbHus+8DlDWTE95C4hkvdNBS2su30inIv8zTPz25knRfzuwYG+aNZgVqkPicZRimX43I5rpArFXKFQq6SynCJQiMSK+RSmWRoQCnkq6RSpYocUrKByRXm247N2Hhi9m/njXYFz9sfucQzy8oz38Ilz9Ixy3JX2DfbA5z2e8T57bvlv37g9KeSC8vFwcvEl6yEF5cMBS4WXLAUXbISBy0VXbISXFwiuLhEHLxMFvqR7PJH0pClkstLhUELZKGzmJTZUDUPWoxR0zSq4X2m8T2u5lWo0BlGahUGlRiUYVDCQ6XjuLKJXOl4VKoLpSPlt/zxWQAAIABJREFUpMXjmZIJVJk+VarLFOuiAl1UoIMKh7n5vMXkY0w+xuRhXC4GuTrahbJ5KIuHsnRQpi7K1EOZuihjHMochzLGoYzxKGM8pI2HFH1I0YNkPUjWQ4m6kKSLEnUhSU+7UKIuJPC4BB5K4HEJGJeEoXgMYjCI0oOwV9mQ9zQXpinOzpSeniU7ZSA9OVUaMEl8/F3h8ffER9+T+v5D7v2m1OcfQt+3BX5vC/zeEvj+Q+g3ie87o8Nvfk/garzkNPQ3AiUGlgb0rLrn/0HCAccCywKrnVyOtFPptAO+ta1IWAYYGhgaGAYY5sW7+o9B6kgzFA4RQ3czAiN3miZvm1zlYNDgYtLsaX7Lb3Gdh1mW09KbMT6stBMQQyOgtIXx3HCflL+3+tELBpFeVPF8IXke4/5N8vcBzb+HqZanCoVCKpVqU0O0dFMpVWKRUCHk4/x+SVe7qLON/7C1+4/fO2/c7rxxt63p5oOm621NzQ+a6u831typq7pTU9NSXdVQWdFaWzzUkDlQGdOacOBR8GZ11Hou5nuIW6WJ+6nj4tfNh6xS7eaHOS6vSTsvHHjc1z8wODg4itTni0wiVsjECrlYKhNLJCKZUKQQitV8vlQyJJEP8UmJSCngCwYFMhVbfKPrW6eLszcembPZf/6uwAU2ly3dEy09s8xdcyxdcy13h3+55YjLPtskt/W3PS0HfabikSaaNBMy3USTNpdIMsSTDIkUIyLFiEieo12aVGMyXbvBhM00ZdPncZmzodQImuZB8xxoMuBapqH6d1H1K1A2gtSKYbueK9dhyifS5S+xZRNQmR6U6kCJHpRM5IpeYYpfo4pfYYomcgUTIW8C5D8XqVpjX8tTOg+j8zAulwc5+pClD1l6kKkDmTzI1IEMXUjXh/RxkD4e0idA+nhIHw/p4yBtHKToQooOJOlAIg8SeZCoAwk8SNSBRF1I0IUEHorHuAQMJWBcPEbHYkwsBtoVowvh47iQCWzQK2zwa2zQq0zQS8yl8fTFcXTgeObseNZ/And8Aus/ngkYzwSMYwJ0aX8dNmAic+It2dHpsktfsKVHoa8aNEOIIoBj/xYb/98XNKqnahelnfo9vIaRql0IXigv9ZlIHe5bxCi6y6NjrZckbJ5Ubje11tGo2dP8d7/FjV4WmQ6La0PsaNFDAPbJuJR/D1JfVPF8IZ7+ferG/2vy1/4jf4XpaCmLthpEqVRqGaYtbiGUMlIuwSUCUiElFXKlWCIXyZRipaBPONg/ONDf39fX29Xb9airs62j886Dztu323pu1omqYnvSj7SH7xGHrUeJ6yFhDRv1PT/kn40HrTLtjC9smXnW/rPK7MuDvZ09Pb39/f1aRXVscctfRCISSMVDEglfKOELhIMi/qCEPygb6BcLB4QKPp8Q8KV9Pf2d3UKh8k630vpMxqKt/kYbDyzacWrB7tNm9qGWbklm7tkWHvnm+6I/2XrUYZ9drNOaBhvjNruJTNZ8aDSDBlOoN4XaBVAzH2oXPPWifuGT1WQODaZQZwINc1HTXK7REJqN4MYcqJuEKl9DpXpQyoNy3oh+iqFyHlemy5XpoVIdKOVBGQZlPCjWZYsmMiWv0EUvsYXjUb4+5OlBHo8rGKbnM9cTpOZibA4PcnQhWxeyeJCJQRaGMjGUwUPpuihdH6WPQ2njUbo+ytBDGTqQpgPJPEjCIAmDRAwSMUjAIB6DBB4k8iCBBwkYiscgHoN4jIvH2FgdLlaXi+ehOAxiMYjmQZQuROlD1DiIHAeR+hCpB5F6EK4PVydAyOsQ/CaEvA7Br0HIRAjRhyA9uDCB9X9Zfux9adBnTNlR6KsDSs6yLPefUtr97xNuzCim0Sl07MhIJzTSRW+4kd5/yfCH4eZR7MgAOwBysDkzyfHThG1Ty/ZPr7I3bPY0//2AZZP34kw7s4pzu2jBPUAU/RRSOeA4bUoWoOea/v+L1D/J85D6JOwzwlMtW7Uld9o6EJlMLpGIZRKBVNAr5ndJBH0SQT9/oIc/2C8WCviD/IGhwX5Bf7eg/xG/t7W/+3b343uPux+1PepuKOhOP94RvkcYvZVL2QwpG+ioH/rPflHjvTRmx5xzG6Yf/HlOWMDuB3+Ud3U+fPy4q6enp7+/f3BwcHBw8K/F2oJhEQn4YsGgSDQgEA4MDfUNDfQJ+/tFvT1DAz39wp4eQeej/ocPetoedj/ue9inDIiv/Xh3gMl6d4tth+dtObRg97nFrvHmnjlmnoWL9sd9vOOks6N7otcvjfYLW51epvKMoXkuNBpBkxE0Gj150TBn+MdGY2g0giZjaDKCJiNonoOajLgmY6ZxLt1ozDUZQ5Mh1E5Gla9xpeNQqS6U6UCpDhTzoHQkuK91oZaOhKdKMK5ElynWp4v02EIeV4ChfAzlPRemXD7G5WNsHsbkYUwuRudgbDYG2Rhk8SB7hKeZI1TN0EXp+pCmD+m6kK6jzeSHFOwJUhOG6QkJI0v7YxwGcRiK46H4CZDwEhevz1zDmCgMxWCQoANxOiiax17DmGs8JpbHXtNF13QhagJceQVCX4fQV1HoRBSqhy7rQBAPLuqzp19R+E+Vh37NlJ+EgevAkk95Av8uHfL/vOM/WEY9lU/4N/qL/LUfHvaibgVtmAsBC4hG2l55gABRsgd1qX4brv4yo8xhbo3T3Hp302Y/yzq/JfnOi4uO/qh+UAysnGYZanikExr2RAw3aKYRR3PcM9p8PI+zL2TLPxOpz3NiPo9lf+PE/JMB/sw0TLVa/a+c4V+/xFgZVU7/JHK5XFvLrI1QyWQyqVQilYgk4iGJeEgqEUolQpFoSCgUiERCoUgoFAmHRIIB4VDv0OBj/sDjgd6h/o7BOxX30062RVrLE/ahTGs2aYssfN2NAx8n7zM/+8uigG0rIr23FkUcv1eb+/+wd95xVZ9n/7+/33PAkRgT956AgCKOmNFmtk3SNMnTrLYZNqtJm6lJnBluBQS3IlNxIHvIdG82rhgXgrI3Z333uO/7+v3xPQdRIQ1N8/R58vyu1/UyBzFwPMKba36upsrL1Tcqqqqqa2pqDKQaIhrtq9wd9TWampoaGpoa6hvr6xrqautrqmurqmqrqmqrKqurKq5Xll0tv3Sh7MK5K+fPnD99uvD0xej0vNfmrp/60udT/7xg6psrJr29buqnsVPnZPp9kT1jVvzTH62b8/mcPV/9uWThlMvz71JyPKB0PC0aTYvH0OJxtHgcLfKgxR7gdC8ongDFXobTovFQ7EFLJtBSX1LqS0om0uIJUDianhhAj91ND5vJYYYeYuAwC4fZm/39gy5v71AdQOQgIq6uFDh7UAzZx5B9DN2HqIukJAdBNqId3dWPohkMzWDoXkSNJSins5DKQgoLKQykIOf6aRIDSQwkMpDQHpkytyA11pXp72Zgdw/Y1RN2utEdLIlh6E6G7kZ0FyI7kbYLaTuRvhORHQzdzpBtLN7G4igTRLIQwdBIBBEIwhGEutN194mBY/nQZ/HhEGg4Dbrk5Cm59ZrR7XqXRiB3+62g/1XWjZ8H3UIqNq7mGXNaQAzXjEskYuWFtIC/b/nz+AOzJp2aMzFv3uSCRQ+eWvTQgfkz9i162lESB3oT0WWdAnZGpu3CzxpQlRAV405kPrpVNu2Kkp1ytqum0L+MuX+649wpZzsuxv3bkdo+xmTwtHNJC5vVZrNZrTanhERbW3NLS1Nzc0NTU3NTg6Xqu4pjMXkRs4o2/LVm298aomaeX/XU/jmP7vjwsagvX4kLWXg0eWdZaUHrjXJr1Y2mquuNdXX19fUGTI3Ev6O2xS2SRU1NdfWNtXUN1TV1lVU1129UVVTcqKiouHat7PKlixfOnz97prS0pKAg//jxwwdz9x3clZy7aO22P3205Nd/mTv51a983wye8smuaXOz/edkP/h5wu8/XT971uwdC14pWjDlu3k95ZyxUDqWFo2gRSNp0ShaNIoWjqHFY6FkHJSMh2IPKPZ0IrXEixZ7khIvWuoDpyfC6YlQ4gslXlA4kpy4lxzvRY6y+DAihxE9guAoc3Ne6jY/2JkfQHQ/Q/czZB+iRtxqdPaz7/AsBJmMwVPiTPmdE/uQhiDVEEMxSOryZBaSTJDIQiILCYwzVu0Yoho83YVgJ4IdJmdqH2OCGBPdwZKdDNnJ4F2MvoMh2xHdhiAKQSSiUUiNQfp255sQ5fKtPeiaftLK8eLG58jBEKgvBZ130YbceZbtVh61J86/9MJrd5FKQCPtSKUupAIFIErjtX0bPg99fUL2Rz7HP/cpWOBf+O0DeYsfPLzwgf3f/tZSEANqPcWKMduFCRjjBxo1pPap3kVvqSuedivw7CqX79T+NZ7eln3/eKQKLtWJ26xbSO3qU3faaLd1bQZjDcWe5paW1pZmW2PljTOHD8QExK94P23pm/tXvnEk+L2jm788mx52tWBfXcWVtuaWlhZrU0NLS2Nza0tzW9stAkJGDfc22aE7kXqjsrq84sa1axVl18ovXrx85uzZ4uKS/Pz848ePHTy4PyczMzUlOW7Pnm07dq1cF/bWF8sffmPOhNe+8fkw1HdusvfcdL/Pdj7xYcinn87ZOf/N4nm/uvjlvUqOB5SOucnTolG0aAwtGgvF412B6i1Ixe1ILZ0IJT5Q7EELRuDjfcmxnuQoi48gaiT4h5jOeWqMTN3pxprpPpbkMjSXpTkMZDPtM/yQebuTDIamO/f0iWsDysnT25CaaKiiuDr+CSw1otQ9LMQyTjd4aiA1hoXtZohhYTsDMSzEMLTdt7MQzUAkC+EshJsgnCWRiEQhCEcQhiDciFIZ2NITgvury8cpG5+lB4KhrhQ0oVMl+Nu5SuHmicz/lYl/9+xfRqrmPD1CnEfuiL3mZPQ3oW96p/5t/JFZEwoWTi7+ZlrRkgdPfPNA7sLH6w9vBrEKiNq+gYAJqBQkChKABKAS2um94k4521UltCtKdivB75RZ/9Ruq2Z2at2NXv+1z97RHJ1ZVwI/t4mzWaxWS1ubw+5wWNvqyi/WfV/Qeumk7coJvrxIrr+kWOpE3uYQlGZOrmvj61rtbXbezvO2DuD+YT23pqam+oam2rqGqura6zeqrpVfv1pWfvlK2feXrpz/7vvS02fzC4qOnzh18NDhzKyc1NSk1MSde3ZHbtsRExy27Z2vgx5896vxby31/SJq6rcp0z7f/tSnIXO+WBD/1btn5/+mbM4wNce7C6R6dIHUCbTUF0p8odgXir2hYBzNH46P9cFH3ckRlh6+JbvvNCDtCqlkH0tyWZLL0hyGZN/ciboTqTQDkb2I7nXylLj29KmR6ae46qeJ7e5CaoKJxrMQz9I9TCc83YUgxkCqwVME2xFsN34TwTYE0QiiGIhgYSsDoSYIdYMwFsJYCGVgCwNbEYQh2GqCTXfB6v7a8nHKxt/Tg8FQXwq62H6x4lZv79e4hDw6/rlfuv1EpKpAiPOHj9hYErsy9E2fhLdHHf7Mu2CBf/E3U04vebBw0UM58x6uyAgAexlQVcWgEFAJ6BgUAiIBEUAEUHDnSO2qPNqtWc5u1Ub/BZje1m3vyjoFXFeo/Reew53W6Uf+gWdy21O12x02h+AQZEEQdEUAhQPRgvk2XeasVltjm73BJjXxapuo20TF6uBtHbhss9na9SjbH9zG1samlvqGppra+qrq2orrlWXl1y+XVVwuq7h45dq5C5eKz5zPLz59PK9w/+HjWftysnOTEhKjd8ft2JWYHBwZ+86iDY9+uHz6h8HTPt14/wcBz73/9YJPP4qb82rJ7BmXP++vZHtB6VgXUsfQojG0cJxRM3XBdAIUextOS7xpiTeU+EKJLxT5QJEX5I+mp4ZoR3rrR9xuIvUgovsRHOjC93XmuQhyGXDx1EAqcdZMEdzmexGkIZrGkDTGJXqCSDKCdm/nqdGSSmQhweTkaVwHnt6S7yPY4aLndnQ7T43H0QiMmNQIS7cyEGqGLe6wyQ02mWELC6EshLrBprsheIC6Ypy06ffkUDA0nAYs3zzg7rKO/W8KHXfP/z9Su0Sq1n6jGIjm3NIHAkrz+cTg0Dd9YmcOO/SZd/78yUVfTT63bMaZpQ9mz7n/Ytwi2nIRQFMJKAQ0DDoGDYNMQaIgU1C7vlf84+nZrc5Sd/H0A3YbTzsFVlfhYeebRRzXrSpBd5/tjw+iOUF0iBIvSaIk8LzDbrNYrBarg7OLqlXUWgW9TdCsvOzgJIeDc9huCXXbVX6N5dSOcatB2JZWS3NLW2NTS119Y3VN3Y2q2vKq2ms3qq+U37hwpfzcxaunv7tUfPbCycLTR0+dOp536NCRrIzM1KSU9Pjk3K27suavj/3L11ue+Szo+U+WvT/7q5B5H6bPf6H0c7/Lc+5Rczx/PFINqt5EaoEH5I2iJweqh3vqh830CKJHnKk92Yfovg5ipvtvETbtDKkMzbnJU+zaMe0cqekMTWNoGkNSEXEhFSchejPZR5CIaPvUVAJr8JQaPN3jgml7fLrD5R1h2uExjUEkBtFtiEQhGolIhAusW80Q6g6besBmd9jiBlvNsLUHbLmHhgwSV3rwm5/Dh0Og8SwQVbt1qvK2y2y3uPMe2y/fuo1UHTTjTDFQJ1IJpRQIqC3fJa/Z8obPrteHHZ7lkz/Pr3ih78Xl079b8WD251PPxcwjDecNpMoYVJ3qOtF1oupYxZqOOy93/kA02q3Bo06R+i+g8wcgxd86EPovZNy32b+rINDVs/0xJgiCIHKCaBclhyjZBdHOCQ47z9l4wcqJDkEVJF0UNJFXZIeoi7IqSlxnGu+3vQLtpVuL1d5msbW0WpqaWxubmusammsamqvqmyqq66/dqLtyvfZSRc3316rOXio//d3F8xfOf3fubEl+8YnDeScOFR09eiZ9X9HOjFORqUei4jISY3cdjl5REvL6lW+nVnx7n7rPC0rG06LRTpgaXjT+dpgW+UCxDxT7QKkvlEyCYl8o9Ib88ZA3nJ7orxzqoR9h6RHGQCrsQzQHQW4X9Mzp3Gk2C9mGWB9LMp3dJ0jv4GkdPJWB1JshKk1CNLEDTztModI4BuLNEO8GcWbYY4ZYE+xmYTcLu1jYxcJOBnYwt4Sitzrdjsh2pLtc24a0bUiNRmo00iKQHo7oVhNsdoPNbjTUTd/qpoX1IFv74PWD7AEettA/aEfWQNN5oNrN079Onhh9Kv0WNxYlnUHrLx+r3UAqAepav6JOpFJDXpASIKC2fZe6bvObvjtfH3Zolk/ePL/SBd5Xlk25uPyBnFn+xRGz9NozAJpMQMYg66DrVNexqhMNqzqWNV3u9AR8d5eLOuXpvysa/Sk8dTgcnXaEflakdusvflugavzlJIlTVIck23nRxol2XuZ5RXaIMi8qgqgKvMI7JM4iCFZR4VRVVIQOz/rOgkNH1DocDpuds9ocBlhb26xNrZbGVmt9q7Wu2VLT2FrV1Frd2FbZ0FJR03jtek1F2Y3rlyoqL1y//t2Ny6evnS25cubctbMXq0q/Ly8tPn3h2L6rKRsurp95ceHki/P7KLmeUDreqJ/+E6QWdUBqkYHUsXBqKD1+r3LQjA+zziH/fw2p2YjmsDTLZPCUZDJkL/phpNIUJ1JxEiKJHZB6C08NpJogzgxxZrrHBLs7IPWf8RS2IboNkWiEoxm8jdGikRaF1CikRCM5CqlRSI1AOIyBUBNsMemhJjXMTY3ogcPv0TYMsgWNt4X+XjsaAo1nASu6a6noZi/fmLS8OSLpxCi5darzF2xdjvp3hVQNsAZUB0zBiVTnzx259WrO1sj3pm97dXDuR54FC6ec+3ri1aV+F5dMOzhn+tG17znKThGqCzqVKXAK1QioFHhJlVQFE63rQmjnPP3pZdCuQrNudZa6VTbtlnWF1G5xtluxfKf4FUWelx2c7OBkjpMETpI4SeYkVRBVQVRFQRMFTRSwIBCRp6KARbGTf4Xb/o3an7aDc7rdwdsdnNXOtzmEVhtneLPV0dRqq2+21DS01FQ31l6paS5rbLzceON8dfl3lVcv3jh/4UrJuQunz5y7UJBXfiSzMmld2bq3Li2YfnFef2WfD5zx7NDf9+gcpkU+UORDCr1JoQ8UGln/BMgbQ44P0o/20Q6b8WHmZm/qAAP7TbCfBUO17zbvoMsHOe3Tpgxkm2mmG8000wwTzTBBOgvpLOw1wV4TpJtcA6cMpDCQykKaGVLNkGKCZBaSWefYqeEGUm/OSDEQa4ZYt5u+2w12u8FOM+wwQYwJtrOwnYVtjNOjEUQjiGZoFKKRJhJhJhFmEulGI91IuAmHIS0C6REIRyIcjaRwpEcgiGDpZiRtRFIoo0b1IJH3ausHOlaP48J+j4+shrpCUKxEJyqAACADqE6qEoOqFBPAN5P+/4/Uf4pU6pzzb6+QyJarOeERf7s/8tVB2f/wzF/g//1i//Ll/leWTj0+f/qJte/YLh4hWHaIikKoqGJVp6KmWwWZUzRZ0+QukNqtXP7/I/WnILXz8ogs87LMKU7nZYWXFVFSREmRJEUSNUnURZHwEuVF4CUqSp1MoXX8+E5UG3ExL3K8xPGSgxPtDt7u4G12zu7g7A7OandYrbbWNktLq6W5uaWpsa2h0tJ4w1FX1lbxXe21765fvVh24fyZc6X5l4uPV+cfbDuSYkkOrlk389rC6VcWDlL2TYTTXj8Oqb6k0MeJ1MKJkO9FT42ixweSo3fjw+YOvX6Dp2bYZ/ohpHbgKclENIuBLDPNNJMME80wkb0s7YjUNBbSXDxNRpDCQKoZUk2QbOqcpx23pP4JUjvw1AVTiGYg2gSRLES6QYQ7RLqTrSZ9C6JbGQhnIZKBSAThiEQgLQrpEQhCEWxBOBQpoUjahJSNZm3dvXzQaGnTEzRjPlxMg9ZLILYCkTAoGFQdFOJc2SSEUE0jWKft3WtCXJ3sX7p1jlTa2SYopkQD3ThCo1FKCCYEEwLYeJkUy7XcyMj3Z0S8Mijj7x6n5vtfWj6tfMWUK0un5C2YfnL1a7ZzmQA8xqoiCrIoaqoiKwqnaKKOOUkWJFntrHDave//7li3KNkV+P7nILXTF+QnI1UWJJWTdU7WeVnnZVVwErP908mSpIiSyks6JxNe1kWpk48ju2773ApWiZcUTlIcouIQZI4TOF5wcDzPcwLPcw6b3dpqaW1ua2m0NNU3NTXXNPGVDXJlpaPyWnPttZr6a1drLhTVnj7UkJ9uObyLy9hgi55dF/Bs9SK/ulXD9YMToXSCC6nGlpT3rTz1haKJhtOCibRgEhRMggJfyPciJ0eQY/3x0d74MHsHUt1hnxlymU4855a5fZppbEMxkGmCTDPNMMJSFtJZmsbcjE+NENXZ02cgxex0Y4b/piSKsR91c8cUdiPYbYLdZtjl8p1mJ0+N+NRAarSzoU8jEY1iIdJwE0SwEMFAOANhCEKd9IRQBGEIIhCNZrVQhm5AsMk5mkrDGLLJnYTcpQUOkYOnqBEv4/SvaN52uJALTWeBuwZyDeBmAAeAREHXgWoUdGMlnriUkv9PlFK7rqV2ilQVdAWIAsa4PiGE6AR0AgQAVGv5/m2R788Ie3lA2gfjTsyd/N3SqWUrppavnF769bTjS55pOhIKUiXobcDXgdoGxAaEBypTKqsKL0tip+eKuxV4dgupXdHw34LUn24/QM87rVOeStKPPVb6AyYpuqAQQSGSjGVZU2RZlUVV4VVZVGVRlQVFkWRFkhVFUlSpi5PTHYc02sEqSgova7yscZLGiQovSLwg8jwnCZzM22VHG29pdrTWc821jqbqtpa6WqulqsVWX9vUUlnNXbvMX8hzFKfbj0dbswItcfOaw9+pW/276mV+bcGe8o7x9MREKPGCYk8o9oTiCbf29w2etiN1Ei3wg4LJUOAHBb6Q50lPDMdH79OO9NAPMeTQzT0o2GeCfe6Q6wY5TCdubEBlIchsXy1FNIOFTDPNMNO9JkhnaRpL01iaykCaqQNPGddCFAvJZqcnmiCBhXi2w6Ypc/uO6a47eLrT7Ez5t7EQzTino4ydqAiGRDLOUNT4NQLBVgSbEWxBsIWBLSYIM0GYiYabyLY+ethdsNEdNpthMyKbENnKQqgZ1vSA4H5a4GguwM8S/Bgf+qq08yM1e6l2ahO5EA+1R8B+HtRKIK1AeaAqpZgQQg1JPI2C/n8iTO0cqZ1ufOoEKxRLgCWgCnXuO2mYKgR0ANBs5Qe2R77/QOhLA1L+NubYHL/Ti6ZcC5jRuPbXZStnnFz44Pdh73MFMWrZflJxmFYdo9WnSH0Jab4I9uuALUQTZFGU7ohxukWWrgLPbuXsndr/fKR2Gnh2i56dbJ2puqJiSaeyRlUVa6qqqyJRRKwKWJWwKmFF0lVRVyVdFbEq6KrU6YxGx+GNdrCKssrJukPGnKzzkiKIMi8IosDJvE11tGmOFs3epFkbsLUOW2oVW02rpbyx4VJbeSl3/hh3ItGasaYlbm7zjncbw/7YsP6JxpAZzcHelo2j1N1j4KA3FHq3r/D/QHwKRZOgyO8WpJ7yIMeH6YfvUQ+63UTqAQT7Gcg1Q24PyHGDbLYTz2KcQ/vtQ6Z7EexlSIYZ9rpBupmmmWiaCVJNNIV1FkyNmmkS60rwWUgyQ5IbJLkZA6cQb4I4Fva4PLbjmBQDO003SbrD5TEm2MZCNAtRDEQZAHUilUYwEIGcbgxLRTAQydIIRgs3KxG95PA+cvh9YvgAe+gAblM/srkvhN5DN5rk1Uhch/AmBOtNsK4PDR4grRhkXTTUumiMfYWfdfXDlo1P8zGvaXu/wHlr4HI81B2FtnPAXwe5EbADiASa4vRfvBIgAPrxS/Q6wQrVJdBFCjKlGsEaIToGGYNGATT79YPbIz54YMuL/ZLfHX3kS7+ib6aWr37IuvnxxjW/Ovf1lPyFD50OfOla6LsN2z9s3vFhy65ZTcnf1mUFtx4yWeHQAAAgAElEQVSL1KqOA98gC7xwR3OjKyB2iptuIfVnpWS3nsmP/wsKXWivdJXLdzXV26l1MsGmabJOBAwCBlknqqZpmqxrsq4pxntVFWuajlWVqDIoElFkvbOP02FrQ28Hq6RoDhnbZMLJGiepgigLAifxDsneKtuaNHsjtjXollq19YbceE2uPe+4lOko2SEe3iqkrrJGfdyw9o+NIY+1rp/RvN63Zb2HEO6txXrjVA84MBYKPaHE60cgdZILqZPB8HxfODkOHxuiHuqjHTDrBxE5iOgB19hpjglyekCWO2R2htQ7eZqGaBpD95qpi6cklaUpLElhb/I0uZ2nCBJZlz6/GRJMNI4Fw9t3TG+ZOWXobUiNMUOMGbabnCFqB55ChBOpNBzRcITDkL4VaVuRGoGUSJN9S8+mtX3q1wxsXD+2Zau/NWq6LXJi26Zh4rr+dEt/GtpbXY/kzYiEIrqJgU3usL4XDb5LW9VLW9ZbX9ZXWTlcWjXWsWqCffU0ftOTys7XtdTZ+pHVcDEJrh+B1osg1INiA00ErAH55TeoOkdqp0v0GtZlgkWKJQIyIRrWNYw1HRQddAKgOyoO7Yj44KHNLw5IfGf04S8mFX87vSLoV81rf9Ua/GD1svtPf+lz8lPv0rlTv1847fLX919d8ujlwOdOLX8hd/ELJZFf8OVFuiJygsDznHE4gxd4nud4jjfc9V+e65o43aJet5DaFfj+5yD1Rwae3UKqpukSphwFnoBIqIyxjHVVx6pOFB0kHWQNFA10lRIVg6ISRdU0TXPC03iga5rzjiXGuvFlpWmaquqyih2yZpd0u6g6RJkTRJ7nRM6m2Fs0az22VJHWMr32vP3qqfrSfU0nd7alzuVi3hS3vCyEPONYdr9jpY8aNgnHT9GTvLVED5o5EY5NgVMTIW8MKRpJS9rnpSbc2Y+CYmd8CkV+UDQZCvyhYDLk+0GBD5wag48O0g7epe5j8YHbkGqGnJ6Q5QaZrhw/i7npt/HU0D1JYyDNBOkmmmqiqSaSwtJkliYxkGKCZBMkdQhRjQaUceYkkTX0pGkcQ/cwEItu2THd6VyIojEs3WGiMSbqbPG7YBrNQDQLkezNmDQSQRRLIxgagbStSA5FQihjD3WrCWHKg3o2h4+3J//Ofvg9oeArqTRIOx0AZ+epaU9xm8aq6/rDlrtoKKOHIxqJaCiCTQjWM7CehXUMrEawioHAuyDwPrKin7ZsgLJ0sLRinGOln23tY/LOt4TEL4XcNXJhIqkogLYqkByA9f808X52Q52rlbhW6W8RJdF1SSciJrJGFQ1rqqapuqrqsqKpmgZUrMxLDf/kqTV/HBb39pgjsyeeXfRgRcAjdUGPNK/+dUvwYzeWzCj51DPvH+PPzvEv+nzK0dkzUj9+aNNfpwe/86udS9+7XnpIcbTxNotot/DWVoelRbBZJIdNsNkFu12wOzgHxzkEnpM4TuK4zqPX7kWSPxsNuwai2MEFwTi5dNNv+zOd/f9dN/F/PFK72qroTIgGaxjLBIu6Lmq6hqmGqarqsqYoWFcpVXWi6IQQIDrRVZVgXcdEJxgTrFOCKdEJ1QkoOlF0XdElQXYIiqhirOogytQhqZwkOSTBIXKc4OA5TnLYsaURGi5BxVEo2SnmrLKlftOQtPB61FvXQ6Y3BHvY1nnKW3yUiAl4txdkTYRj/nByIpycAHm+UDwJin1poQcpHEuLPKFwAhQbDHUilRb70GJvWuxDi3xp4SRa6EcL/aBgMuT5wSkfOOkFJ0bTo4PwoXvwfnd9H6LGpul+12ppNgvZbpBjuqkdlX0rUjMZg6p0LyJ7GboX0TQW0twgzQwp7jTZDZLNztQ+0R0SXQm+wdN4BAkIkhBNRjgZ4SSEExCOZ3Acq+9B+h5EdiO6s+M6KQM7THSXG9nthne60e1usJ1xvjcKwVYGwtwhsgdEmWgkUsKQtJWFaJaEIhzK8FuY8kDmQtDg69sebdr3PrkcCHw8wHGAcwBXgF4E7SQ9v7ItcoawYSBZ10MPRnQzokYLawOCtQysNcFaM13D0mAGAk0Q4A5BvSGoNw3qjQPullfcJ6wczgX6WFb5O0Ie58P+7IidzR3aqpadopLlP028n93QbQBt/wZr/532b0JZ0QVZ52UsSZosyYooyqIoiSIv8JIkgMZXlu6PmPvq8udH7Zw57sjsSWe/mVG+8pG61U+2rPmdfcPTrcFPXlow5eA7oxJeHRbx0sgNf/JZ/eavAv/+xx0hX5Ue2Vtf8b2lvlqwtMh2i2BpcbQ0CpYWyWYTrVbRaudtDt7O8XaRd8i8Q+I40eHoJMzsFjq7CgP/LdZF/0wRRUUUJdfwpiCKvCjykrHw2aGHLnU2ivQvdJx+NDq7Nk3VdUlVZUXRsA6aCpqGNV1TNJkAJpSoGtYJ6Jiquq5TUDBVMVaxrhKsYixjImMiqLqk6wpWRFUQVEXSiKSCKIOsEElVBJUTZLsgOgROUBy81lhpLUxvSV4kbJvpWPOYPWi6fcOvmtZPblg/xBoxUNkzArImwNFJkDcR8rygYDyUjIfS8VAyHko8oHgCFPtAsS8U+jjdNcxPS3xIsbdeNEEv8sEFvqRgEinwo/l+kOcHeb5wwhOOjoLDA+HA3Xi/O9mHyH6nGIorREWQzUA223GM39ncNzRQXGA1Gv0kA9G9xqUT48yJO6T0gKSekNgTEntBQi9I6AkJPSDBDeJNEM90RKqeivQUhBMQjmNxnBknsLpxOWq3a7t0O4JtDGxn6U6Tttuk7DDr0WaIZiAGwQ4E0Qi2mmFrb4joDZFmEo2kCMSFIj2C0TYicQNTHcicXTX0euIbWmUsWI9ZL++6dHxFadZXFw+vbi3LAukKQDVp3edIfsW+eThd766HINjIwHpENyC6joE1JgjpSUN6a2t7aGvd6Wo3CDJDsBuEuOE1LA5h9WB3PbgPCRqAl/WH5UPJ8vGW5VObIt8SC3dSru4/Tbyf3bpEantLof37U5JVB684eIXnZN7BiQ4Hx9kcnMPOcRznUBwtDZcK9gR89M1zo8NeG3f4i6lnvp5atvz+uuBHLBt/I4Q9JWx9piHk8ZJ5U3b8aWjE6z67v/iv/aGLijJjr5QWWZqa21ptjU3WNqtgdcg2u2ixcBYLZ7HxNptgs/I2G2+3Cw4773AY3nna/u8IJP89PO2ChwZNBUkUnA8kwfmrJEiS2ME7t59eHjWQ+gOpyW2mqrqmapQQSijGRFUwIRQAiE4IAayBKoOmAiFOqWGdUI0SpxNdpZpKNYVqKtD2lE/VQVWBEMA6qDooGpUUTRBk3iGKNl5prKrPS7kY9nHZyiebVk5SN3rpsRNx+kSSMYHmesEhbzg5EQp9odgHij2hZByUjoXSsVAyFoxk32BowR1ILfYlxT5akY9eNBEXTsKFfjR/MuT5Q95kyPOFk+PhyFA42I/s60X2mel+Z4hK93dEKkuz2JshatZNBSma4RKUymDoXgb2MjSdgXQG0hm6l3XOn6a64tOEnpDQC+J7Qbw7JLhDgonGI5qAqEHVBIYmIpqA6B5Ed5vobjeIc6NxLIlFZLcr69/myuijEN6BcAwi0QhHIi0cKeFIj0IQ3RPCe0GoiW5FejjSo0xqpLt9vcmyxr1iec9zywa1ZP0VuHTHjbjTsZ9lLnks+oOhEe/eFzdr7LG1z5Snz9PrD4CeT0q/bgn1FtffBaFueC2jr0awnoF1ZrrGDUJ60JCe2toe+ho3GmyGIBOsNkOwmYYgHIy0YKQFmfHKnrDsHljcT144pHXpFMeej8ildJCb/oOw+++xzpHa3kNQbllVUhy8bOdkh13k7A7eZrdbrVar3WKzt1naeFuz2FR+KGbVV//ltfwPQzM+m1L8zdQryybXBs9o3fhrIeI3+q4/SDHPN4Y++93qp89tfPN6yirhu31q3UV7TWV9ZV19vbW+VahtEWtbpXqL3GiVm+xqs0NttsnNNrHVJljsvM3usDvsdruN4+w/PWf/5zNZP8E656kkSDInyfxNl4wHgiQLkiTc+q5/A1I7jTt/PE8xJqpKNZUa92ww1nRdA0pVRQdwiba1261ThwQAg66DrIMgU0HSdUUDVQFZxBIviZyFd7RZrVxbm9DabGtpbGmqr6+vrWqorai/VnI9P/Fs9NzD8x4onTOM2zoecifCcR845Q95UyHfHwomQqE3FHpCkQctHg8l46BkHBSPhyIPMPL9Qm8nUtvrp8W+tHgSKZ6oFU3UCyeRQj9SMJnm+0PeFDg1GU75wvGxcGgwyb1Hy+mh55rofgQHO4ih5CIwVqEyGVcVtUMzyqifGm/uZZ2Xo9IQTWPwXoQzEc5AZC8iaQxNYSHJuGBqwNQNEsw0gSXxDE5gSBwDcSbYw4KhKWWInMaYYXcvustd24b0KATbEexgYVsPiDZDDAPbEexAdAeDY9y07T3F7Xe1hPWwRd+t7uqvRfWmYQjCkLoFCRtZ21q3xtV3fb/orryFQyriXiPWZMWSWrTtte1/HxLxpnvMTJT8dzbrE9OR2T1OfD3qWvzbpHobbdgsJD7ZuqavtrGHFoxwMIJ1LF3rRta60zVmEsKSEJYGm2C1GxiBahALqxFdjfRghANNdFVPWHkf+Wag/auxtg3PacfWQkspEPsvfja1S6Qqncxmy7ygcLzCcSLv4Di7w26zW22O5jZ7bUNjS1O9rf5acfb2NR89++3zHtHvTDo2b9qFxf7lq6ZVB9/ftvkRdeczkPgSTvyzGD+zNf6DloxvHHkR/IVMoeykUHWBa6i0NjdYWlosbZY2q63FxjVaHQ0WrtkmNtuEZhvXZuetdofNidTuqTd1FUv+fDztrNopyLIoK9wtLvOywiuqqKiC61eXdz7i2Xku353yqNEr+pFGdR0wBl3XdV2hVKNUB4ob6mqOHMrJyYzfn7MnK2v73tTtuemJh7P2H8w9lJ17MCNn/96c3LTsjOTspMSsPUlZsfGpe1L3pu9Nz43dGb8tfOvOqKCYqAXhobM3b/p684Ylm9Z+u3nN15tC5q8PnrVu7cchq97asPSVbQuejv/U/8issZcXD7VHjaIn7od8f8j3pXneJN+T5I0jBWNp4VgoNlL+8VDkAYVeUOgFBV5QcBtSfaFoEi32I0V+eqEfLphMCiaTfH/InwKnpsEpfzjpDcdGw8GBevZdWqabnsPCfuamXl8ugmwjCGVoBuPsTd0+LIUgg4G9jMFTp6BUGlL3MnKWSc5klb2MlsaSZOO0CXKeNnEO8LMkjsVxZhLH0niGxjGwxwS7DKQiiGFglwliWLod0RgEsQzs6QG7+sGOPto2JG9D3HbWur13y/aB9duG34ge05T8gHL0OTX7Edv2oUokC9FI2oRag1D1ErZ8Zd/cWb1OBv5auhoLcPZa7oLYWSPSZ/VMfR+lvIPS/oayP0AFn6Azc3sULRnJZb8O9UH02J+5DQO0dWa6AcF6BCEMXeOG1/bQ1zD6GkSDGQhkIcgdVrtDoAkCEAQiCEI4CNEAFgJ6wpI+8vyBthX3q6lz4Po+0KsBpP808X526x5SRUkTBVXkJYHjObvDbucsdr7Z6qhrbquqrq689l356UN5CetjF78d/fFjWbOnFy7w/27xlMtL/KsCptq2PIZ3PAvxL0Lq60rSTGvCu/WJH1anzG3cv4oriuS+S7NfPSrXlOKWK9hWqdjq7G31rS0NVpvFYrdbbA6rnbPZBbuD71pitHu5fFfJ9b/FOt1OkmVRlgVZFmTFWOzkZIVTVF7TRU0XNV3SdEnTJE2TNU3uFjq7ss4jz+4ZJUAVTVZUwXkhksjfnz8xb+6fF3717KqAZ75Z9MjK5S+sC/z7oi/+8cHbM//69sw33v7r62/PfO2tN/701p9feeuVV//66ut//cufX3vlhed/88fnH5r18e9CN/xpR9RzWzc/Fhb6fPiWVyM2/Slq46uRG14K2/Tcls1Ph27+ffy213Ij3twX8Mzxr+8v/HJk1cphNPchOOmP8zxxvgcu9MDF40ipBz3tRU970RJPKPaEIhdP872gwLjW185TPyjyp8X+pNAfF0wm+f4kfwrNnwp50+DUdDjlD8c94chQONAPZ/fWs9z1bBYMBb9cRHOdC6aQ6bwK1dnwKaLpyBmcuhr9JBXhVEZNN0mZZinDrKSbtFSWJjFOAZT2m6ZxiO5h6B4z3uOG40wkAdE4hu4x0d3szea+MbG/w5jzZ9QYNy6st21rX0tk/+qw/le2DLgSPrY2/hHu2NvclcVaXRhYY+nFb9viH7CE91IjEbceNQWgsq/Z4oW9kj7t+33KZ6BewfaS0pi34z+56/gXzMnZ6NCHKONvKPM9VPARuvwlU764V+OGUXDoRZr1lLyuvxbMwjoEaxEEMzTErK11U9Yy6hpEViMIZGiQGwS5QwALqxCsQhDAQAADqxhYZtYX9LTNHc5vfJEWRIHjMoAVqPqfJt7Pbl3WUtU71l0kSRFFVRRUgRN5B+ew2W02R6uFa7HyzVausq6+4tqV+mvnbeXFZcfiMlb/PfHjGYc/nVi6YMq5BZMvfz2pdtX99nUPSaGPwc7fQ8IfSdqftNQ/8/GvtMa+1LD71cakD1qzF/LHg9TSSHwpBaqO0dYLmKtWbLWCrZmz2Rx23m6XOIfMOWSOE40Zq5+Sy/+sPO2iXaQqiqoosqIYASmvqLyqCTeRqhlyXLprEOnHBp5dWVdI7Yb8GNUIKBqWVF3Cuk4JBiqeLklb8NWjO/b84dyV98uqP7tetSw9edbMFx/2HT9snMfwMZ4jR3uOGuU5ZpTH+BHjvUaM8/ScMH7EiL4jR5peerHf7l1PVV7/2G75R3PjzPravzZUvd144+2m6zMbKl6ruf6Xiuuvl9/4e23VV4VZb4fN8op5Z+jxWaOvfj3cHulBj0/BRRNIkRcu9SJnPMhZT3rWi5z2dI5JFXk7T58WeEGBlxOphcb8qR8U+UPRVFowleRPJfnTaN40yJsKJw33hyNj4eAg2HcvyelNsnvgLJbmMLRjG8pYMDWC0FsnpW6XkkpjXAJ9DElmSApD0licZqIpJprUfiSqgwZKPKJ7GBprIrvNeI+ZxJnpHjOJNeNYNy3WXd9txrtMJIaFHawew/DRqGUrU7PZXL2lb/lmjyuhTzSlvi8UrRDLI/TGROAOAC4G/RLgy9CSacl+qzF8WNtmpjEIVa9AZ+ahrI+Z9IUjG09vBmjS6/LKEj8oXj6obBEqX4guzEEnP0MHP0KFn7qVze3ZvMytaTErhgzQNw2XA3upAYgEIBKAIJihwSZ9jUldi7Q1CAcjEoTwaje62h0CGAhAsIqBVSZYycIKFhabtIX3OJZPU+PnQNkRUFsoyBT+Lw1R3YnU26gqy7IgSjwvOXlqsba1WZvbbPUttsq65hu19RWV18sunW298X1LWeH+yMXb338g8wPv/DnTSudNOzvP7+pXk6uXTGlYPtkaMl3Y8rC+/UnY8wwkPUuSntUTf68mPC8nvMIlvt6a8G5D6udtR0KUi6nQdBos5ZqtTrJZBAfPOxSe03kH5nnlfyVSZazIWFEMxULJAKuqiTqWdCzruqLrqq7ruuZUPuwWPX8WpALBVNIJR0EmgFUZ64oOVDp3Li0w+PGjBa/IME+HBZeu/mPe5xN9RvQcem/vgQPv7jeoz32D7u03eHC/gSP6DRg9YODQ+/q5Dx2Knn/eLT7hQYv1LZ38RZKelsXfKdIfNP5Z3f47zfqE1PaorfnJltb/qmt8L//U6ws+HPEHX2bx0/fu/9jzzOyR9cGj6bHpUDKRlniTEk/99Di1ZKxcNEYrGU9KfVzDUj5Q6O1M/wu9ochAqsHTKVA4jRZM68DTKXDSH05OhpN+cHgk7O8H++6hub0hx51mmwzF6A6H9hDNcJ4wgb0upHbC0w6CpymIJhliKO2C/CZIMEO8GeJNEM/ePL0Xa0ybsnS3Ge/pifeYSSyj7zHLsb2F3X35Xf0c0fdYo+9pCL/v2pbBF8M8qhMelI+/qHy/QK6LI21HwJYHtTn2s9uqTqy7cijYfiEdxMsgFArHFzZE+dasMZUvQVe+RYc/RLFvoX0rJorX9gBYqeV8dfqnV0OG8mtN1iWo6VtU/g0qnYPOfu52Y0Fvy2JGWoG4JUheaSLBPehqMwSzsJqBYBaCWRKMcAjSQxBejXAQwsFuJMgNAhhniLrSBCvMsKwHLL0bLx+jhr1Ij2+FpqtAZAL0lz/oD4Buy/cNjLY3ixVFkToIsvGcwNl5u9Vms1gtrdaW5raG5ra6FmtVQ+uNusaq2vqrVy9WV1xsqLhwMiU88qPHY14blfae16FPJx+fNenYRxPyP/E684X3+TneFxf6lC2ZXBU0o2HjI83hT1q3/VbY/hs99hkt4SUl7S1L2keXd31UsmPu1f0RpOkCttYotlbZwUucKvFE5Kkoap2KyHWnstm9Zc2urKu+UMc/0B5aaipVFSJLuiyrsqwqiqrrWFU1SZI1HWsaliRFEhVVMYqYxNgMNj6C8VjTtB+/mqHreueZfDeMUFAICDoRMMEEA8UUiHb54sElSx87VfyOBosLTj/3/vt3e49GHgP6juo/pH+/e+7r33fgoCFDho4dOHDcgP7DRwzvN2Qw89d3hp7Mf8bKv6KSp1X9AVmcLPEzRPtvMPeM3PprqeUhue2x5trf1VW/kZX5/JuvDfQZgR4Y1uNv0/qHvTju1MfeF78ZoWRPhdP3Q+kkWuhJT3voRaO10+PIOV9S4k2Ljel9Xyj2hiIvKPKCojuROh0KptO8aTRvKuT5wyk/OD4RjnnDEQ96YBDsuxtyekNuL8hxhxwzZDPOkSnnsikLGSbIMEEG257guxja7sbOfoe1qCSWJiOaikgKwkkIJzJ6nBnvcSN7zOoOFu/qcMd0B4LtiGw3izFufAzSY5EWi/gdvWpC76vcOu565MQrkQ9Up7wpnlknV6XotgMgpoN1Oz63tDr7w6NbX0hbOj3lG6+9S8ZmrBh/aMMTTccXgyOd3lhXuXXi9aC7Ln/LlnyBst5lYt5gc5f608p0wFYgjXVFqy8Hj9Q2mck6RIKQYxmq+wbVf4XaFpkdS1k5gNECGbIakWATWe1O1/aGtb0g2AyrGViNIAjRIASBiAYiEmSG4J4QZIKVCFaZIbAXWdJTX+CmzO9jX+qr7Z0Llceo0EYI0cF5Hfn2L7Jf1koVav/2u5OqqqrKLglnZ7GSE3mHwNk5u9VmbbO1tlqbWqyNbbbaprbKuqaq+sayivLr18sqr18uOJgcPe+VdS+PX//iqOiZPvHv++95yzf+ba/U932T3/FMec8r7YMJGR/6Zn0yKfsz/9zZfifmTzy9aFLR4in5yx45FvDc3qX/lRTw9smEEK3pIrbVq/Y2heNlXpEMgU5RvVMN4IfDxp8JqZ3m5sbrZry3I+BkWVUUTVWxrlGCnYcQsQ7Gm5RQQ9tLVXVBkDTNmSIZHxMACCFdUfJnQyqlVCegaETGBDs1Lym9cil/1ao/ncxbcPDom2++1Xv8GDT8Ptaj//Bh94waPGDI2HGegwaNHjRwzMihY4cN7jNyBPPRR+NO5j+v4bcAnsP0fkwn65ofVh6QuEccrb+2NT5obXhYcbzY1vROcvyTr/9lsLenaeyQPg+OH/lHn6HzHx2Z+s7EovkeTTsn4KP+UDwNCn2hyIMWj4UzHvSsDy7xIcWTaLEfFE+CYh9nEaCdp4XOEBUK74eC+2neVMibAvmT4ZQvHPOEw2Ph4DDY35fm9mrnKc023YJUo9GfwYJT7ZS5nafth/aSECQxLmdpIkNSkDHwT9PcaHJPmtiLxvegcW4k0Z0msBCHYBeiMYhuY2hMT3XnYEfCBD5+kDWcqVvDNG69z5LwgLD/LVy7UeP2YlshiDWgcZrlSmHK/H1rHjm6ZHT6530j3zOHvYN2/gOlf4Gy56MDi+8p2TBFyJsNLRsde5+6vPTuU58whz5AyTPdtrzIZn49hZSng9wGuEVt2le957na4LvlYIYGIRqMtCAkLUeOb1HbVwy3FOHVCNYgCEY0iNWDepDVPSCYhSAEAQhWMrCShQBEAxltFSIBJghAdCWCADcI7APL78Nf9bfNGcKte4aWRIF4g1BNp6Bg0FzwbIepYf8p/P0chu5sTLVbO0+dISrPi6IkCJIBVruds9kcbVZ7q41raLFU1jXVNrdcr625Xnn9RlXFd6fz4td/Hfj2E1/83nvOsxMWvej37Qs+S/7os+pPfstf9F758sTAP/mHvHb/upkPb3j7sc3vPhb2twejPpgW/fHDsfOf37v6/QOR35ZkRdVdPKVaa2RHi8zZFUGQRUkWJVmQpG6m7Z0itVvTSF1ZVxXPjsFp+yupKLLr94lxHUHXnK6poKlEkTVV1agrPdJ13Xieuq5DF4qL7Uj98Z2obiKVEMA61gjRjelUALh26bvlSz5ZtvSNl18aO3QQGtqfHda318i7R48b6Dt88OihQ8YOG+IxZsTYoQPu9vFCH3089PS5lzF9G+AFAg9jMg3IDKo9pKsPifJ0Xnyg1fJQm/X5hsa3kpKffOG/+owahUaP6jvBy2OSp8eMMQP/5N9/7UseB77wPhswtCV2DJycAcVTIc8DSj3grBct9cIlvrhkEi7xIx2pWjgRCv3uQOp0mj8F8idDvi+c8oRjo+nBQTj3HpJ7F+T2hNwekGOGHDNkmyDLBJksZJshywSZJsgwQTrjVI9OZzqk+a68PhmRhJtOExmayNBEVk1gxTiTmtCTJt8NiXdDQm+IM0Eso+5k9D2IJLJKnJtlm1tTeM+WbUNsGb8n3y0Vj/2lcnPfxo19lZzf6uXL1cZYtTGFKiUAbUSRgYLcdil30/Pxs/vu/7zHvk/d0j7ulf6xe+4nzLHP0ckv0Nlldxct6d8c8zjUBUDBzLLAwSdnm7PeYePf6L315d5xn/m0FO8AwnZ/oOIAACAASURBVIFmA1JjvxJZveupxg3jWlfcJQSayXo3WN+TBvcga3qTEDMEIwhCEIggEEGAiQaanG+uQrDCBCt6wMoeZJWZrGLpSkRXIghEdJWJLO0FywaR5ROU1Y/i1PlQfhDzdaKiyAT0DkN37Ug1vlD/I+z7meyWWmo7EYwQrL0xZWTQgiBIkiaJmiwqIi/xvMhxgt3OOTjBYnM0NLe0WG0Nra3V9fU1DfWVlRVlZ/IKMnanhgXFrV+StHlJ8ubF6aHLsqNW5USt2r8t6MjOdXlxW4qTo87u3XU+M/b60ZT6osyGkpy2SyccN87wdVc0WwNROZm3yrxdEgVFFhVZUGRekXlZ6p64crdy9m5ZV0XM9lZSR65hrBOiE6LffMV1Tddxu+AZpQRjXdMUSRLsdltZWdnly5cdDgelFGNs4Pi/HamUUMAEU6pRolKqA8D1srKFc7+YMdX7vntMI4b28h43eHi//iPuHe0x3Hf40LEDBwwdPXzk8EF9PMei2bNGXb76Joa3dPJbRZ8ha1MxfpBoj2nSE5L0a16ZxqmP2qWXK+vfidnz+NPP3z1yLDtyTF/PCRM8J0wZM9Zr4tgRT3oPnPXE6D3/mHhoTr/LIf20nKlQ/CDkeUGRJ5z1hhIvUuJLiifRYn9aPBmK/KDYuHI6CQr9oNAfCg2eTofC+6FgqnNXKm8CnBwNxwaR/X3UTDeSbUj2OXlKs1jIZCGThSyTE6l7WSdS00yQxtzCU1ep1AVTwxljf58ksFq8Sd9jwrEmsstMdrvru83abjcp1r1lu1tlZM9rUQOvxfhUJv+m+dBbwrVwoN/zl9YUB404OtdUsnTEqcCHd8/9Vficx04kLlWFBoIppVSXrl5Km3lixYBzi3ue/7Zn/le9jn1hPv4JKvwMnfkcXV7S8+KyvpVrPJWcF6XER8oC+xcu6BX7ZxT+R1Poy3ete6VfcewCIC2Y8CqxUvGSfm0nd+DzlujftmyaYN0w0rF2CBfUnw+4V1rZQwtAJBjBGhOEmCGApasMtrqQuqwXXdGbrnSHYDcIZCAAQZAJLzPJX7mrXw+WV94vR/wVSmKBu0GxpBOq3TrE/EtGasdvSP3WISqlQ2PKiPYUWVdkLEu6JGqSIEuCJPDGNJJod9g5QbDxQovV1mqzt9ltvN0uWi225qa2+tq2hmpLU7W9qcbRUiO21kqttUpbPbY0UlsTtbVSWxs4bJrDjgUedJXqqiZJiihKkigJkixKiixqioQVQVd4XeY1WVTVbjDxx+fs3bUfSLfb49OOBMdYc73yBEADkFTd7nA0NzZVXrl6/vSZomPHj6SkJEVGRi5fvmL27NmbNm2qqKgghBifCwC6ClR/vHUTqIYeO6FUx0ShVAGAGxXX534512u8Z78+fUcNGzJiyKARQwaPHDJiSP8hQ4cMGTN60LAhPbzGo/lzxl29OhPgPYBnMXlQxzMoPArkt5ryO0V8WlZ+J+pPtnAvXKt+Nyzmd488c+/wcW7jJwwf5+E1Zpzf6PHTxnpMmzjBz3/UkBd9h2x4zffgl6OKv7mnbfcEOPUwnJpE88ZDqReUetGSCbR4IhT5Q5E/FE12qUy189QVohZOg4KpkD8R8ifAqTFwfBAc6kNyzVoGotkM5LKQw0I244SpIRqd6QYZZthrhnQTpLsUTlOZmyRtv12ahG4K9BmeZMhIO29GkT1I28UI23u0Rt5VE963evvIy9smXEp8oqlgFq7eBo5jQK4ANAG0SrWJxaEPJc/qHfv3HuHv3Lvs5b5f/KFPyKxHa78/BEQikg3Uy9aieSWr+1UEMZVB6HIgOrsYnZmLzs1Bl+ejskVu1wPvux44pHbN6Pr1Q6+s7Fn0rTn+LRT6AhPyDFr8WyZm3uNNV3IBOAULGrYBNIP9DL0WrxSutOT8o2bPKzcif9e05QHLBl/rmlG2gP7Cij76ql6wuiesNkOAkfUbUWpPWN6LLneHQBYCEF2FINBElprkhT3Fr0dxQb+Vk5ZARQHoHADBlGJKO4qltiPV4M9/gHw/m91UourY9+8qJlMVYrStZUlXJFUWJUUUVUXUVFmSeFESOEmyixInq7yi2zheECVF1QVRtjl4OydwoigIoiRIsiAogqAKvMY7sMOBOYcuq6KkC6KmaqBqVFMpwaAqqiqpmqwQRSaqRFWRKAKReaxInd7++4E0/E77tyC109iwPTi9U2+XEJBlxWZvraq5fPa74ycK9ialh63Z8HXIuoWLl33+6ez333jztRde+K+nn352+vT7p0+fvmTJkvr6egDAGGuuiup/J1KN+7fGQ4xVQjUAqKqs/Hz2576+E4cNGz54yNABAwcMHTp46LBBgwb36zeg96DBzJSppsVLPW/ceBfgE017CuuPUP1Bqv0K6G909TeK/BtNe1rTX5CUv9yonLlxy68feuyu/iPcho0dNs7Tc9wYX89xUz29HvL0ftBjvPfYIb3/MPmere9POr3y/tJvBpWvH6blToP8KXBqPBSNhVJjiGoiFPq73M8Vn/pD4VQXTw2k+kOeD5waD8eHwpF74YA7yUE4C9FsY3+foVkIMlmawTjvRGW4GVKnThH+NBZS2C546qqiGjJ9rqN7eiJSkpBjJ9MY4VYTPqgmxq8u6ananNfolaVQtxlsu6mUJbZlOar2crWHVe4KQAvwxytS30iZOzjqg95rZ/b8+kW3b16+a9Ffhh7auUiXG0C1AtRIjbsuhfk1rnPnNiFLKGrcwFSvYioWo/Jv0LVFbMWq3o1rBzWtGdi07t5Ly9j8r1D2LGbH6+aVT6DFT6ClL/XPCf+7aj0HoAAQwDoQCXAT4GugnQU5HxwH4cYOuLAJH19mS3yvJfRxS9B4MeBeHGg2+lE4COmBLFlpgmUmWMrCMkRWILwcwQoES81k8X3i4gm2Da/CqVhovgHYFZsSHSgB15fUbfbfibyf21DHnxW31VXbwy4XK6iiEtlFVUVSFUlWJVEVBVUSFIXnebudd/CyImqYU1RRERVNUDRJUiROkhyixEuaKGFRwrKEVVnHikoVCRSJajIQomhEknRNo4qs6ZpOdSzzHJFlqiigGi6DIlFJ1OUfiDF1p98c7lRvDWnbA8ZO8vWuEnnjZbh1sMnI628OKhm0uu311XXNwdkbm+qrqm4UFBTlZufs3BkZvOabhd+8O+vLP/7js98uWPzK6g0f/ePTPzzx28kT/caNGj1sQP/Bd/W+192919ChwxYsWFBbVweuQirtopzaNRB/cpRKMSXEOCuMdWIs+FdXV81f8KXPJK8hQwcMHT54yPBBQ4YPGjxswLCR99030DRpChO41r+28X0K7xLyDJBHgDyOxV8T6VHQf6uqj6va4xieUrVXayrf3rrx4Uce7j1seM/RXuNGekwYNXq89zjfSZ5Tfb1meHj6jx079KHp9yz5eMK53S/Wb//9/2PuvaOquNf9/2dmdgMEe+8KSAe7xt5rxJaYGHssscQSo4JUUUHsFQR774I9NixIscfesYL0ttvMfMrz+2ODx3PPOXfdrO/NXb9nfZYKrMXGzcxr3k9/vMT5bnjlnL1NMaUVprrzlIZ40wXTm2G6J6b5Yqofpvpiqjemfu3y/wtSrzfgSVXZeXt2TmBnyhdGnYavkVoWNj2hw0QdJmjxuKY8of/vkHoI+EGBH5T4QYkdEMl+Ud4jmHdCyVb4HK/L2F77zb4WGScGZ16ZZ3q0jX++zM33jAXXcl8f+Hhj6YNDE84t73A0wOX8It97uyeVPE1ENbXwVvD5YOctUx2XjRbn9oeA/jC/H2ye182cdw+xlLE8xZT68ejI4rU1yAZRjoXSjVCwEj4vFT4sEl4vkt5HOyj73NUdzgVrHF+EC6lBQuJ02PGDuKKPEN4VFvaAyFH1/oifWvD6GqKCiMgRqYpoQixEzEH8jPiZ0xxu/ox5T/iLo/Ifs3NXueeG6dVogxwtWZeDvBxoJOAiwFDAMMAlwBcDCwcM02NETWOIx4uIAQ+3Rz66cO7RnUfv3maWFBZZjcVMtf6f8+2/MV7+5/8y0OHre+9rnfUVSb+E5LiiMFmhikwVRVVkWbHKsmyRLRbFYlIUi8loNBpLLYpiIcQkW01Wo8lcbLIUWxWrSlSrqsoylRUmK0yRmSJTVVaobGGymSoWQolZpSaVqIypRKFU5VRVTCYmW1FRUFG5qnIiM9VCFTNVbUFMRggjhCj0Cw0poZwSTlSmKqqqWAmxqNSkqGZFMSuK2dabpKgWWTbLsolQC2MKobKsmGViUZmiMqJQolKmUq5SpjJVpVZVtRJKCEFVRVVlhBBKFcasjCn/ZecjpcRqtRYXGnNzCt+8yrh+7dLhw5tjYhcuiRwfFOL/228dAxe0Dwlusyy63Y7d3U//4Z96Z+KHz2tT06O/+97PoYIIAIIIolYHok4j2det03Du3N9fvnnFkFFOKTKVqozbJpNQTlnZQsX/DMn/DaRyxgijFLmtMoEj4sePH8LCQ3ybe9asXb16zao1alatVbdm9ZoVa9YBn+YQtbLxp+xxiBPMaiez0oJjB8TunHRD2oPSXoT0RvSnOPT9hx82x3Tv0rFy3Zp692aNvbxbNHXxdnH1dG/m1axpswb1GzRoWLVzx5qh81umnBxiuTu+9HD/V5HOd4KcPm9viikdMKU5XnXBVHdM98A0T0zzKT/e+I8p/V48zYentuSprTG1NaZ4Y3IjvFqdXXSkZ3X8tMDOALeNmDopflXDL+BxyTbnFI+KeFTEIxIe0eJRLT+qtTn+/BDgURGPCfQAKAfActi+5EDVz3trftxd9+32+m+3Nc7a7Zl77JucpO/Mj37HT2tQPYuYgViKppzCVylnN/+yZ2G7LdMbbZ5ccds0+4O/6s/Pd7oQ1PTm+oHKy1jyIfZebNedUw3rxomLhwth3woL+0HUmPqf7+5EnmO15nKSId+KtGxuiHFaFgvKJrCuA8sK0RSlyV9hX7i5Pr03Aa//YNrSIGe19nmkdOk3ce8oIX6EJrIXBHeDOZ1hRnfdptld75/fnPfhIS/Jwn9U4Mu25VFMUZli2x2Vh/kp8o3w3PhO+YurWJfplWjBGgk0CjACMAxwUVmAlYcJGGrgi2qZwj3Tf/Vd3Nv198G9Z/w0Nmhu8PpVm3bt3H/m7MX795++fPnu3fsPeXl5Fqv87+QpQ2QckXJk/z3rOPKvDyvbxlo2a4IjcixLqHJExssO5ZwyzhREK6IVUUZU8J8yZ1+9ANLy8+9/FBsz+T//N/7CCGpCyD804H9RhspXIvGLTPzHKRd5ZULvyyFUVSlRCSEWRo1IzUgsXLYyi0othFi5qnJVYSq1zbtWiaIyq8IsClVUwlTCVcJVSmWqylRRqGpViEo4pUgUrlgV2WokpISyEpWVqLSUMjPnMkeVcquslJotBYparFKjSkutarGVmlQkKucKYwrjMkGZMoUrCjMr1EwZ41+2PJb94ikikWWzsdSYm5P//u3Hx48f3bhx/UTiyW3x+xaHRc+YMumXSf7zF/RYEtV+7aa2O/e2vHSx+dOHHT5+6FVS0odjL4a9OP6QnT0xLNinbg3QAtjZCaJGADud5FBBp61Qr1aTX2fMevbyGUUqo2rlisIVhipHBTlBxr9a6vt3GX5VxWUT4oiYlZW1cOFCPz+f2rVrVq9erW6d2jVq1qxevWLPntW37vAqLPkOcSxif8SeiL0QByIOQhzMcZDMBiCOJmTCvbu9Fke4efnYNW5Su3GDOs6NmjRt7NaoYbOGjZo5N/No7Nq4QROnjp2qRUd0eZwyJfv+yNeJbbK3N38RUftVZA3rkVaY3B2vtcdrfpjih+m+5cOky0+aN6a4Y4orpjjT1GYkxY+mtOYprXmyG79cFS/a8z80/LSWndCQk0BOAj8hYYLmH0mnBAGP6TBBj8fF8mCoiIcNeMRBPaQjRwQ8LrADAj0s0SNCyQ4wHjQYTzsXXR/44mifR0cGvzw3+W1KiPFZLJb8gfKl4pwDuS825L/cRUyfbHow5/mFwyEtE2bZ//Gb/b5JsGs6HJ4tnpujvRlW6U5EjdxD/li4K/PKz2d/s9s7Rb96uLT0WylkgLD0p0q3Eudy+p5SE2KJ+npnSWwd3CQq6wTzesG8FtRIUCMgL1L3YlVd09uV+GZdwTbfzCjN28Xi0wi7MzOE3aNh7bcQ3g0Cu8L87jCnK8zt57D6l5YXYmY9Tdr/9k5S7vO7poKXVMn5Cq9WRMLRhPyD9c66rChP8zJHFinKi4DZqqkWA0aUszVMwlADC60mR7i+C2q+/7smv7erN6hZo24efl3adunctX/3fv59v/WfMGlsUOicJZEBGzcuP3bkwI0rNx7e/TPjxauczEyLsZAzS9nu6q/JxfFLEI2VV1xxhpyirRiRqoSpDIntpkSkHCnjjKuywihDXv4ZQrlKmawyYkQsQMxHLEE0Isr/+qKIDJFg+c7Xf8tTW7aJc66qqu1mIYT8VaT+Bft3zvJ/NAtXTaiYUbGg1coUlSqEEKoyrjKqckK4SphCicxkK7fKTCGEl7UYUaIyRaFEodRsLXsPGUVKGVEJIwpjFsrNDC2My5SqttnyCrFSblWo0aIUKaSUcYVxxnjZ2jGFo1VFhXD6Xx6jHC0mS15uTubHD8+evEhNuX3q5Pl9+46uWb0xMDBkxvRfx4yeMPjbEf169vJ0c2nVsvLajd2fvJn6Pm9MnmkM4aMQByG2RGzB0cWi1EfsZjYN2bC6sUsDcNSAVgCtThT1GrGCnWRvABDrVK88ZdLYx0//pEjN3FJKTQpXOCocFeQUKcfyxZN/K1K/5GRt/ooNqRERi/38/GrXrl2/fv369evXqVOvY8d28fEzc3OX5ORPzSkcm104Ijvv+8zsH99ljsx4/9Prtz+9zvgh4/3ot2+nXLk8dObUau7NwNWtWqMmDZs0aeLu6unh5ufq6ufarEUzN99m7k07tms8d3K7E3FDHicOfXq43eO4Ju82NP64ql7hFld+5hu83hWTv8H09nirDab5YLoPpnt/WXyC6T48xQdveGOqO09z56k+/IYfXvfGK43xvBP+ocOzAp6S+AkNOynwU4CJIh6X+HHgCcBtTaXHtXhci0fFfyzaO2qPxxzoUZ31CCgnwXQICndA4VYhJ17M2VX9/ZH2rGSPKWOv8e1RlK8j3lRyT7+7t+3m0QX7I/tvmtd8b5R/zqvbZbdi6eO02D5XFuhT5gsXZsOJuXBqLlz6TbgfIjyLkHK3tcQHC4vOD7u/tNrZ3xw2fieE94KQfmL4MO3xNYOo5SmigtzKc8+TfS2UDXrLJn3OGuHTSjF7sZgVrHm+2On2aq/SjB2Yd/LTzs5vFkk5y7UfIjW3FsAf02DfSFjvD1H9IKI3hPWEgK4wsyNM+0ac2alSeH/3TZP67l489simubfPbM98fkMpeYpYgKhwYkVuxoLblhMz8pfVV5cIPAp4FGCUiBEihgOGA4YBhogYquehFa2htY2R3h+Wdt77o+sYV4OXHmprdVUdq9g7ODRvp18Q4b5tf//la9rOn++yYJ7XbzNbTv257ezpfcODx8XGhB47vjXpysl7f6ZnvH2Tk5tlshb9q0Lk/CsdypFxxqiVEjMlMjKKjNkm/XDbCHTGkSNntkAuInLkFNGKWIRYhGhENP9npFJE9T+pVBskOec2ttqIJ8vyX9g9ZcuQ/CWk/qfinn/N6MjcakazBa0yV1XGCUWqIiNlhxIklKuMyFyxoqxwQimnlFGqUqoQplBGCGWEcELL9Tq1+emoqoRSmTGFUkJUoqhMVRmhjDDCUOVIFNUiWxVOy9/Df3rb0FxiLsjOfZ/x8u6tq4nHtm2LXx6zbvmKyBULZodNHj938sTfR/wwrmPnTp5ePm7NfBrV96xTraGTvc7BHr4fpbnzpBPBIUbsYMEOBNsx5qUo1SirxHhNyn0Vdcihfa1aeWt1IDhIogSCIEoaO72g14EABh20bVn99zmjb928RpGrnCpcoagyVDiqyJlNpdoulL8VqV+z1YbU3NzcxYsXd+nSpUWLFq1bt27dunW7du1Hj/4pZlP4jq3TY2OGxW7uuzmu54ZNnVev7rp6Ve/oZb1WRPdeu7rv2jX9Vi7rHxzQa9KY9t8NbjNm1MDRo4aNGfvTuAmTxo6b9tPo6T+Nmjbp5+nTxo6aN25gzLyBiYu7XQh1S1tU5+3a+rlxTcx7Pdjptni1I15rh9dbYFpLvNXCRlJ+04vf9ORlG1B8aXIrntwaU30x3QtTPPCaKyY1xgs18KwBz0jlo6QEPCXgGeAnBJ4osEQgiUATgCdKmKjFBC0eF/CogEdFfkTLjziQo3byUW1pgjbnmOH1Fk1GrN3HWPvnK/V3IqteW91Ozb2CJBN5JhYnZ99cfD2m/8ZZrpET6of8VGPBEEP0RNcP904hMuQE2YcPZ369G1nrz1DxfijcCIZrCyF1PjwJg4xIeLOiSuGeb7K3ejyJrHBlvmHHaGFZP1jSX1o0SFo/w7v0fRKikSsWLL6jnByes7pqQWzVF6vs0xcbUhZqk+fZp0e5ZRwdp+ZfRvWO8fyE3A21SzYYcpfBx8XweKFwdYZwdLy49Udx3WBhRR+I7iMs7SUGdYL530DAN8KCjppp7YXRLWFSO/vVE1v/ETf185MEbs1AXorEgjSHvjycv6Fj8SItLgO+FHCJiOEihkLZCQEMEXmoTgl1NC+uV7qy+btlnS7+3nZ+t6otHKGJA3T01m+Kbfw2pwPFoaXWfh+zOr982TEtpfWJEy3i4lssiWw15/c2U6d3mjy5+/QpfefMHBIaOmnj5qWnzhy+e/fmy5evPn3KKigsslj/bUDWylgRpUWcWyiTCZVpeXKYcWSItGySLyWoUq4yrpRrcJvX/2+hycqJ8N8FIGyKkJV3OeJfWuf3n6Trf7L/MU8ppUTlVhlLZbSonFKKjCBXkak2vckZZYQxhRMrKhaUCWOccE4YYwrjVsrNlJspt9oiMJQTW0hUIUwhXFVVQmTkDBmWlQRxZIgqYYRSxjj/OmZjRYvRmp2V/eTR/eSkCwkH98avj4yOmBoS2HfWLK85c92XRvVcvGj4j9939PN2b+bq6dvct37jegYHHQiCBHoJ9BKABNCtu3ThmiflPTn6WbGxgi4qc6G0MSG1CauE6EnowIsX2vXtUUEvgqNO62hwkECv0zvYVTCARpC00Kd31aWLuq5bOfV60mlGOUekXCFc5qggo0gRGS9Lof5fIfWLz1VSUnLq1Km4uLhdu3bt27fv4MGDhw4d3Ldv75HDe3duXx0RMfm77/1Gj2mzes2Ug4eiExPiTiZuO31y+5nT8WfOxJ46FXf29J7kq+fv30q9nXrlVtq1tFtp127euZxy79L1u1eTbt6/nvr80plnxze92P3bsw0DnkX7ZG90Vw760QQ/vNgak7/BG23wenO87k2T3VmKB97yYrc82U1PftOT37SpVF+S3JzeaImpPpjqjted8XI9PF8DzzjiKc2X0dF4CvAM4FngpwR+UuCngJ0s3xSdqOGJOn7aoJ6wsyRUKDlcMX9fpcy9dhm77F7trp91vHN20g9F96eYr/o/WVv3XKD90XCv7AeHkObQkqdvz4WeDGu8Y6Zh0zTHyNH2QUN14cP1S36q/vD8amT5yM3IPssP1r+J9Xsbrf20El4shccR8DAY3kRAzkr4tEL7eUPN7PVV30cbbgXqjk8WY4dCdH9xmb9u6cg6L67HI8tDRUbzW9OtqMfR7g+i6lwNq3UhzD11RcdH8d99uhpFPp5H+TWqz1h6WE6ce/F6jXU9mFdAzhLxeZCUOld7bobhyHj93u+0u4aI2/yFmAGwpg8s6w6Lu0BIZwjoAmE94LeO8Gs3h9i5nZ6cW60Wv0TOkVmx6M+So+NzQgxkCeBS4KGAoUIZTL+ANUxgYRolzN4YVq14WbOiTV3uRfht+qFy7OT69875K5aRiN0YbakSH8bbIHagvDPF/iZlWG7Rj6/ejrx5f/jZC7337G2zaaPvyjV95wUNHzl6wOgxP/42J2DxohXr1sfu3b8v6WrSrTu3nz5/8TEzq7DYqJAviSZbGJVRTgjjMqFWQghyWzBARjQzauVERU6R838Ku/5b4/998ooxZuvE4Zzb3H9ETE5O/o9I/bf2V5H6F74xmgmWEG6lDMuQSmwBw/IQCCpqeeKfcGb7KqeMc5mhiWEJx1LGTIRZZNUqq6rMbH2elCNBTsrc5H9+fwjlJqOluKDow5uXd65fSDq1+8TBTRtXBy9dNHX+7CGzfuk1b2aPiKCuK6PbbNvqefJsi/tPhz99NSMmtm+LFo6CACCBfSUQ7UDQgJ291kFnJwIAQJuW+sPHmsmkO+VeKq/DsZ5KanPWCNGNE1dEX8T+N250Gurv4GQPWkHUS/Z2uip6bSV7g6NOK+kM0MwdDh3qf/f2L1s2jb987hBTGHIkzEq5hXMVGSsPmjPO2d/p95cVY7N/bhlUyluW+VcN2rIsK4qsKPIfF075D+01crR/2q0kztV/esfLHQFKkMhILVZVVkyymmdWckxKYanZnJ+Pn17j4yTT6ZXvN33/dnnrks1+eLQ1XmiDV1vjjVZ4ozkm+2CKN6Z7kRQ3NbUZu+VJb3nSW57sphe/6WPr6CfJPjTZD5O9yjag/FEVT1XAkzo8Wb7L5BTw08DPAJ6R8JQOT2rLBksnAh4DelQrH3UoSaj86VCV57uqP9pR//l+76zznfJvDs25t1B+dxCLz2H2jpwLo5LCauyZAbFzaz64sQ7xnen9mQtruiUGwJlg2DVTt2yEGDwQwr8Vgr6VTseMVkwPEC1I8/DzydwjA/I2VTBuhPxV8Hk5fFgKmZFQuBKMGyVLnKMc51S41v5hkHR2Cmz/Dpb1guWDNBHDKl3c/iuXM5ASVEtML888ihvxamvfjKMTMpPXya8SsfQ2sgw0v8GSv5Ro5gAAIABJREFUV0he8Iydb2NbZC0HuhHYWrAsh5yl0ptw3cNgh1tzKyRPc7gyUX95vHhhnHBiFOwfLsV9K6zpA9G9YFl3TUA7mNkeAvvq46f5vbqyHTlFxpBkGZNDs4PslVDApSINAhYsYaiIIVB2/gFWkYbpzSEVLMsamtZ75WzyNh7sgk/HYeEwZvmGyH5U8UD04eghcxeVuxPuTbE5wVYqtkPsieiPOOHF2znL1o5o27Fpnbo13Jr5tWzepWPHngO+HTh8hP/4n0fOmTc7ImrZxs3b9x8+eeb85ZT0lBevHmd+fl9QmEeo8gWKKicUOUNUEK2cmzmaKFdYWQzg/yXhTymVZdl2/duKiC5evNi7d+//iNR/e4P9FeH5l4bIEYZmhqWMq5yi7SBFZJSjhaOJopmhRUVFRUVFlXLOSblgpwyZgtyCzEIVi2pViYURpUyVEmqhXP7Hc4dhSWnJ63evb9+/feX6ldOnTx/Yu2/z+pWRoZMDZnYLnO21KMRl5cpm8Vv8EhK6Xr/m//jBD+/ffZ+bP6jE2hdxlMJnnTzdr1ePSgYtAIDBXnSsLukqgqgBg0Fj0OrsNeDtBvHxLlZ5IGIHmTQgrDFiM0LqcdYIsREjHoj9Xr3qPe2Xio4VQADRzs5O0jjq9TUcDHX0op0E4O6iCQ5q8jlnSkbGuLXRfc4lbrchldu8FdvjocxZKUuY/X325WL4+mLi/yxav/6kRVWvpVz7cez3oyeOTL2dQji3qsyicIUh4dyW7pO5IhNmsVJTsaW01JpXbPxUkJuZn5n3+UXxy9SS1H2FCeGZMcNfLfH9vMpZOeKLSa3xmi+m+GKyJ153xxsemObJb3qymx70pge95UlvedGb3szG0zRfTGvBrjdnV5tjkjdeaIrnauEpB0yQ8KSAZ4CeAfUsyGfBchasZzXktCM7UZknVOSJGpYAeATofsGy2yFvW83nmxu83tfh07mfsm8GF72Ipzkn0HwV+QtUXxbci78b/23inMo7xsPOGbD59yppZ+cj3i95tuXCUtfUpXB7OZxcAHHjhSWDYfFAiBgsblvYOj/rLKIFSTGa7xovTTLurK7GgLIWlI1QskYqWiWUrgRlvUBiJHWDpnil+DwYLkyBnd/B8t4Q1U8IHaSLX9hZyUlBriBhpOiD+c1JzN+PahJa71qfHXnyR+TdA/Pv7Zj59HiA+n4vlh7LPtQve6XeuhbYWiArwRitLV5mlxtl/ynC4XVwhVeBdi/na5/MFu7OgOtTtCfH6nd+B+sHwLLOEN4RFvUWF/fVRPbTXdw4WS7OQs4QC023luQHG0go4GKJBkssWIfBEgbDfz1BgEEiD9HRUEfzoirG6FpKrDM56EnTW2JeZ1Q6ctmHcTeGzRi6IDZlWMdCKpnkKgr1QOxlMva6d699YIiLq3dFvQMAgEayN+grOTpWqlm7eo1alRs0quXh6daidduOnXr0GzDkx1E/jR47dNqM75Ysmblk8e8b10efSDiUcv36syfPPn/6XFpq/FIdy8uDo//vxst9ONuH586d6927d926df/vkIr4n299ZIgyckuZS1suwRBljkaOxQyNDK0UVYKUIKe8nLn/OAwpQ8KR4NcjGVXZXFSQ++7Vm/s37144d/HIkaPbtsdHLl/8e8DsX6ZN+nn8T9/27dC+Za2xI+of3dfv8cOhL553yM5vb5a7IX6LOBCxG2IrxBYEW3IcdOdef/9BlQ0a0ILOwVBRozVUqlHBvrJBFLUaQRQA6teClStqFRb3QeyA2JxzLyZ7csUH0Q2xIaV1EL/Jyx0QsahOrRogSqLBQS/pDaLeQaOtVMGuip1WU9kBfh5b/fmzMYROePGi76rIjmeObKZmigQ5kyk1ISPlaU1ETjlSiv9NGdX/gn19GbHyXhfbxfDlkigTs5yXWsznks6NmvjjhKljrqRetlLFqlILsT0B1VK1sNDyuZQUmlRTqcViNBKjSSkoLszNzSj4fL/41bmitNj3+355tbp75io/Y4wHO+aH19vgzRaY5ompHpjsiqlueMuTp3vIyc5Kmju75U1v+tBbvizdl6fbeqWaY2orvNYKk5rjBQ882xBPVcITWkwAdhLoH2A9D8YLUHReyj9nKDhTo/hU05IjzqaDDUxHnUxHResBMO2EvBiHrF3eJQ/nkcytqFxHzEAsRCYjUVAtNb29lrZr3KGA2od+hX1TYPcsiPlVf2rzQFTOmR4svr2iXkaM+GwNXAkWjswUVo+AZf6weqQuYrTT67vry8Ywq28sqQtNBxorm4CtA4wT1Ri9NdaObjawTcA2AlkLltXi5yh92m/i/h9h02CI7AuBvSF8dO2iZ4fQWogMERkan2Q/WHvz0PQLq0Yem9d287hqW8ZWODyz5pnwRu8T/VlRvHplQunG6pZVwNcBXS0oKwxkRQWyUm9ebiiIsstdqsuJ0H5eCJkB0puASvfmVj8/1e7gGGHHcFjVCxb1ECJ7CUs6we457bKeJSMSxOKS1JDiUAkjACMEXKRnwXoeJPIvGF345QgYJOICEYN0api9JdRejnBS1tUs3VPXmuaFH9tjUWtOWyB6KdhYwToMaxNaDbkLYj9jgf+hXS4DeusqVwIAAAEkm/cHZX/ZTKvR6fV2DhUcK1apUrV6TTdPp8lTmqxbO2hpRP/ZM7pMndh10tges38ZGjR3XPSS33ZsXX765O7U1HPPXt7OzstQSOn/EJv/jY7lnCtKmRxOTEzs3r17/fr13d3d4S/dXf9jR97mzBObkGGM2VxF202oljcd2bJYlFLGaPnEeG6LeHKGiCqiGbGU8mLKLYiUca5QVCkSVh45+ed9R8hRLjIVZeZnPHl9+czlA9sP7YzftXnt5mXhUUHzAqdNnvLdd0MHfNu3R4/u3j7ejRrVa1S/emVHvZc77NnW0lI6DtEfsQtiG8RWiK0596SsEcdGlDdF7PP4aedpv1StURkEAI1g0OsranQOlWvU0GgNeq1BKwg1KsP8eTU+feqJ2FMlzkR2Rt6C05ao+CJzR3Tm3LfU3CMmrolzUwAQ9HZ6rYOdaGentTfYOWoNBtHeAN8Pc0q+3gHxJ8IHPX3abcOqbsd2ryVmwmUkViMlpf+KVPI3I/VfLwD+FWdtv0peHgFQOT+fdPnHsSNH/zw6KfmKrZJVYahwbqWyUSkutuaVWAuLzSV5JSXZ+SXFJcWlee9K3qUYHx8qvrr4494Rz1b4Zq51tR7w42dbYVILTGmOt5rz27481YOnuPE0d37Tg6Z5yCluSponvelD0n1Iqg9L9cX0FpjeGtNa4Y0WeL05XmyGZ+viaSeaILFEgZ0Cck5jPm/3+YT+/QmHjBM1Xx93fn+sff6ZweZLI4rP9spKbJKVYJ+5B97HQcZa8cn62hnnfkg7POrs3glJCWFF2XfKxA0zF2acStrc9cISh4uBwrHpcHAO7P/d6eKqtpi1kTz67dPmOjlbhQ+bIC0UTs6G9SNg2SCIHiaGjtBdPzqdKO8QObJckrGjYL+HdTPwjcBjBSVWp8TZ83gDbgaMA4wR1fW6vBV2T8MMZ6ZoYodBVH+Y1wPmDTGkHl+I1lxUCSJmvf5jb3DzLROqbRxq2DAMdoyD479AykLtrcWaF7F16a3JmDRGja1NVwNbDcoKQVnmwJbZ4XJJXaXLX6rJW+aQv8zBskxnXaTJXWD4HFrlaaD9lV/FhNHCzmH6xd2ExZ1gTTfYNKrBn5f3IMrIMy03FpSE6WgQYBBguJ0arKPBIg8RMAQwGHAhYGD5CRBwPmCggCF6FmxHg+yUMEfTqurmPU2V8978aRs0deKql1WppWI9yhoitkMc+ux+t6A5tTwbSfYSiACCIEiiIAogCKDRinqdpBE0eqmCAHYi6LRSGWmbuENYZI0Xb7pl5w3Mzhn+6qX/zZReZxLbH9nbdsMq9+AFdWdOq/vrVJepU3x/mdJh/vwhy5bP2rp99YVLiY+e3H734WVefpai/OsGF1buDFJEpqqEftU4yzk3mUw2fB07dqxbt25169Z1cXHx9PT8a0j9S6Z8NULpy43Hy8NzpLwXnnPOGFVkWVXUsrQ7t/3QCmElhBZxtHLOOP23DwxOLCXZ714/TLt+7ezx47vWb14xNypk3Nzp/r9O8g+e98vMSRMHdu/XoXlnT2fPpo0aVK9e2cnJ0dGhil5rb3vk1akJIcG1MjN7I3YjxBlpU1Tc0OqOxAuxGWN1FbUOYuvc3EGrljdsUh80AAIAgASCIGp1lSrXcnKoJAqioz2M+snhzv12iF1V6qKSRox6cMWbWT257ImqB/LWFqVvwhmvDp0EQQBJK0o6e9AYdBWd9BXsNDrQ2kG3ntIfF1oyPgSxH+Kg168Hb4v1P7ZvPbESZMiojGhF/jVSGUNG/07H/y8ZIlKGV66njRo7bvT4cVeuXycMVYYKQZlyK5HNitFkLSk2FxeVluaVGD8XFhcWfDa+u1t6e3/J2dCC3d+9W+n+eXVdcsAVLzfHlJaY7IOpPiy9JU1rzlK9WKonS/WgaR5qmpea7qOm+ZJ0P5LuR1J8eYofprXE9NZ4oyVe9cYLTcnJKiRRy08L7BTIJ6AkQfh8VP9qv9PzA/U+nGlVfOdH0/swS/ZmNWc/zz9Mc+MsT39+e9b50U54HgePV8LVEPHw7AqrxxkCf9CET2l051IUVz8iKoillrxLt/d2vblSSA2Di3Ph7ALNhdCq91a5YcpofqV/ydZKRTsgbws8ixKuBkrbxwkr/CG8P4SN0BxY089Y8CciRzSxwqS8Y92McTrcDDxGUGJ1ymY7FithHGA8YJxINuhzozWvFhuuzrHbMkJY2h/m9oBpvYTdy4ajnIOEIpLMjLO7FnocnFHp1C+GhAlwdipcngp3f4dHwfB8iVS8vbm8s71lhT1fAXyNQFfZy9HVSJQjRoIcrTGtr2Xa4p4ZVd2yvAJfoZPDQF2qz4/QPF0gXJ0sHP9JWt9fWN9XiOsPm36sc/dcHKIJLY+s534pCrEjNikaoqchOhoi8dAvSBUwUMBAAQNEnC9ggIABgIEiX6jlAQYWWMEY4GiKqmOJa2o61pTc98Y8H2Z2pkozxE4FBX2PHWo+uJ9TVXvQgWAn6rSinQgOAugkkEQBJAE0ImhAaxCc7EVHvSCKAI5O8P1oQ8KFlvmmjgzdEJsgeiO2QWyHajvF2KE4v9PnT12fPu529UqnxMRuu3Z0j4pq9/u8Tr/OHjpxyrAp036YHzB9WfSi+PjYgwcPJiffePz4aWbm54KCAqvVbCtz5ZwQolDK/hVoJSUlhw8f7tevX9OmTT09PT08PFxdXf9GpNLyCoEvQTebdKWUKoryX5BvGxXKKBIFGbFVkJGyGkxEIiO1IiIqpZaczLdPHt5PuvjHqYS9O7ZGrY6aEb7gu4Uzey2Y0WpRgOfypU1iNjU+euybG6kTT56cOmKYX9UKjpXtq4qg/cpt0Eug0QA42cPUXwxvP3RmvAvHJoh1kDRAxR2tnsg9kTfhrD5lPmbzgPhY19Y+GgcJBJAkSSsIAgggSJoqlWpVrVhJI0K37tor15sraj+Gniqtz7kLogeSJqqlDlMbI2+NOPxiUpfBQ+30epAkqVLlqjpDFUlf2b5iNUGnE7TQ4hth71EvhY5hOMSq9OP48/On4zauGrp320pLkQU5UmYl1IycfJ2e+rtjqX/JEJExvHb11pixP48dN/7qtWuEckK5SrhKqKxazbLJZCotMZUWF5kKSyy5JcWZGU/fXzv6Zk/Iu1XDcpa3M61txg554ZUWeMOb3fBQr7vRZF9+ozVPbslTfFiqN0v1pqneapovSfMjqX40vQW/2Yqn+OENX0zxxRu+eNUTLzXFs9XVBElOAPU0mE9C1n54sd3weFu9DwldzM9+J8WxqBxGvIiYjCwd6QvEF1h69OHpAVc3ON3foEuLgNOzYfMYIWqEEDgEfh+u2bmsW97Hc4hGRAs3PX1/dsyDlfYPF8O9cEgJ099eWunNqsrqzrq4qwrZoSEHNEVbhferdHfCDcd/ldYOE8P6QvBgWD3L7dOTk7baHW59bL46uTC+JsZrcLNI4+3kOB2LE8pUahyQTZqCFeLbxdr0eXZ7R4sRfeH3vuK4DrBsahvrx0fICKJFLkq/vXP4+XnV785zuDVLSJ8Jt6bD89+F9wuF90GQs7R2UVRt62IBVwBGC8qKikXL6hZFVDaHAIl2wstD+Z+/5cZ8k7WkMokWMAowSqCRUBAKr+YJZ0fDtiGwZaiwrjfEjGr45PI2xHwlMylnq39hkIGHazBUg4EShupYmMRtKSkbUhcKGChhoIQLBQwCDAIeDBgkYqAeAx1IQFUloIplkZNxvVPRbof8i5XpRz+u+t+92Xb+gkrOLqIgAgBoRI1WdJAEJ4AKGsnJoK0oCXYi6CXQ60FnD5IORIMIbVoKUSsaPn3TRcXeDFtR0hSpC3IP5D6Ivoi+yH2ReCH1Q+yM6K/S7/JLBmcVjsz4FHrwWPj3I3u4uFdt5lG7dRvvHj27jBgxYuLEyTN/nRMUFLpkyZKEhGN5+Z9tCGLsH7OQbN42IqqqeuTIkS5dujRq1Mjd3d3b29vLy8vFxeVvRCr/ahD9F3TajJR3DdiGmfKvA3bl/6ScKqpcUmJ8++bTw9svb167ferIkQ3Lg4PnfzdnZu+Z0zrPm90uOKDVisi2u+K7XTztfy996LuMwZnZPT4XdlTxx6zCn0Mj3OrWEUUAnWgHoBUAJFEyaO30kkELgp0GRo6omH6zOccOiM7IqyCtjtwFqR8qnojuRK7PmK+qDjx+1K21r6QB0ICokyrotHoQAUQwGLS1qtSwl8T2bbWHj3qrtD9ie47OHF0ZdWWsEWJjxusieiLv/vBRj+9HVKxYEQBAb9DaOVQQRDsQKgiiPQB4N68Ut2tAZtHsvNLxN+92Pne+1ZYtrkvC3WZN67QjbqWpxIyIlMmyakT8p4w//s0Z/79kiMgZJl9LHz9+wtixY5OuXLZ5RqqqKopslc1mS6nRWFJSUlJUaCwsNucWFr5+eOfh8a33Vs74c0GP98F+akxzPNMeU9thuh9J9bRedVeuePPrrTGlHd7wY6neNNWHpvqoaX4kzY+m+PG0FnizFab44nVPvOaOV13xUmN2rhaeqUhPiNZEKE6AjD3wYLP9s52+ecmTWfFOzN1RcG/pjX3jzm4aevvAuKzri+j7C6i+RX7nfer81M3udzdWuxEunpkFW8eKq3/QhA2B37+F8HHVnt3egFiEKCPPM90Of7W+9qto8e1K7eNldm9WOxVtsjetBboJcI/A9msL4zSfVhvuhepPzRQ2/SBEDobFQyF8ZPXbZ1YxkoeoIv9IHq3I3ebJ4x0wRqBbDHKsxOIAN4ONqiRGLFklZEZKdxfoDo0TFg+AgIGa6T1g4YhGzy4fQGpFbkX6NvNaRFpIw49hTh+D9a8CdC/maT8F2xkj9NYlBnNkTcvSajxK5CvAHAal0TXI3l6WbW2Lwu2NS6uqp4Zj7hZLSlDmWt/CpQZ1sW0ZHxQshBez4eIYODhKjB0qRPcSEuZ3KXqUiJZHxVdWZUS3MYdWwDAthhkwSMJQDQ8VWAjwkC/hVBEXanChBoNFDBEw1PYlAQM1uMAOAypigBMJ1RcsEj+ulopONM650f70nub9uhsqVbaFSLUavSOAHkAvinpRYyeKDqLgKIKjDhztRTt7QTQANKoFU36ucu1ad6s8FLGLgs4UXZH5ouqLig8q3qh4IHFB1gRJXU4bMNZEJh4UOxPsW6x+e+GG/5ARrvUbVdLoQKsHvUFjMOirVq1av36Dpk1cPD29u3TpunLl8s/ZH20NVIwRW9iUEGI2m2083bdvX69evZo0aeLm5ubm5mbz+ps1a/Y3IvULRm36VFXVLwNGZVm2SeivIxcEaanJ9DEr++HT51dvpBw/mbBr755VK9cFB4SHzg+bNmG0fx/vyeM91q5qf/hI+6vJ7R887pT5uV9J8SCrZRCjAxD7cOyM2BXRPzvff8Ual8ZNQALQgE4AHYAWQCMKklaQtCBoAPr0lK5caUdpP7PcQKGVOa/G5FrI3VD1RGsTpC7I/SxytwsXPDp3lEQBtCBqRZ0oaAVRECQQNaDTClUdJA9nIXaju9U6ErGbTJw5b8apu2JtSmg9K6luZfURe33M7B4c4lS9OggC6O1AbwcggFarqehYtUrFGvXr1vH391uz/vv1sX1CIrzmz/cJDuy8bqX/3l3Tz57c9Or5PUoZ4VxFhXDlH92otjY9/veW+v8ls/2+U25c/3nCmPFjf0pK+kNVTIzKqmJSZKPVUmI2FRlLC0uKC4oKigoKinNzCz++fP4x+WLGwQ2Po3/+M6jz80XeOXG+lhMt+bXW/HY7frM1u+6H11piSlue4sdSfWiq35fDUnx5mh+m+WKyG15tikkN8VJtfq4KOeGoHK1gPqgvPCxl7NakrXO6v62t8WYELzxueROTvnvYzvn1Y6Y57phd8WR4jWsb3F4mji64v5JZE2n2+g8nuzyLq34vWkgKgD2TYM0IIcwf5veH3wbpUxIXIPuIaEYs5BnxH7Z7v11tyN6of7fGkLWxgnVrBWUT8K2AeyRll6Y4Tp+z1uFRmO7cr7B1NKwaAUuGwKLhlc7GTpWNLxCtiLn0w5H8/T1onBPfCOpmUYkFthkwBjAGMBZorGheK+RHC08WiqcmC6uGQ9BAIXCgGOhf7dTGeUiLkaqIpYVPDj6J9itYojcv1RRE6D+FiVmLRGOEyJZINKqSGlVRXSLIEVAaCrmrnfF2uOXCL2+DKr8PdMpc5qk8XIVFZy0XZufEtMyKqFi8SKuusC9eangbbEiZZTgwTru0D6weWu3pwflovqW+OfR+ff+s8EZssZOyUKQhWgwVMUTAEODBwEPK1WiQhgfpeJAOQzS2sipuQ22AgAt0dK6m8Fch93ehcGWl4n1ebw92WDuznl99SV+Wh9IIkk7QGARJJ4iiVidqdBKABkCvEex0oLEpoZ5dxc0xztnZ/ojDEL9h3IXxRhxdkHsh9UbFHZWmqNRDtToqlZFVR2yI6InYheL3j551Dwp3cvfViToAAQQR9AYQpS/+qyBJ2qpVq3fq1Gn79q0mUxEiYUwhRLElhKxWKyJardbdu3d/8803DRs2dHNzc3d3d3Fx8fDw8PX19fDw+NuR+nXktByyaOuXVxS1oKDw7dt3T589Tbp++VDCgfgdW6JWrQgIDZk+Z9bYieO+H/lj//6DunTs2ra5b8Pa9j7usGZVs3cfvjdZ+1hJC4p+iM0RvRCbITZBbGw01WO8HaXfHzjk6+MlaAD0koMA9gASgFavq2ins5MAHO2gfRvhxIkWZrkfYiuV1eG8HvIGXG6I1AWZK1JnpL6Igx88bOs/WNJIIALYae0k0QAAAoBOB1oRtACuDWDpooYfPwxGHESYt6o24cwLqTfS5oh+DD0R++YXDV+3vp6rC0gSiCIY7KFadX3jRjVb+vr07danf4++gwf2CQ2etnbNb5s2z0s4sSH95rlPn56XFry0Wt5RUogoE6RGxayi+q/dU0j//4ZUkpZ6bdLEMePH/XT50jnZWsqorMgm2Wq0mEtMxqLSkoLiooLCgry8vPyszNzcj1klb9+U/Jn68VT8vY2/JC/qmhbm+WJtM+PRFpjSFe92w7S25Kofue7H/gmpvjTVh6X6YIoXT3ZjVxqxS7X5xWp4zpGe1MnHNKYDDgW7HT7u1t3ZZEha7fL2zAwsTDJlJVzbOiB+ftX10+FAoHQyVH8mWLi4WLq+uub9HW3k58FoilFSh33YXuv1Rs2tJXBslrhhJCwZAkGDYN5gbULsaFPhn4gywxIsPJuTOPDTpqr5m7XZsbqCeAfzFju6XYu7BL5TULeL1q2GkhjHd8sdrv4m7R0Pq76D8H6wZHCFPcG9Sz8nI5YgFvHCFPPpMfLmSnQjyBuBbAYWC7gJcBNgrMhiJGWdULoc3oZLV2dr4sdqggfCwv6woK9+W8BANL1BZkU0y5+SP2/vV7pUwmWCEqUtXa7JXw4l4SCHgnWxZF6qL43QFoRBVjC8WuWBHw7mX1+SPN3p2VyHZwHV8k9NR2s6llxW0pdmbxuYEen+elHtB/Mr3JrrlDBeu2G4Nn5Ss/v7fuPZ5/HD0YI9P70NrG1eVBEjDHIAKCEihpa59iwIWDCwIKBBEg3S0oUGGmTgIToeLHBbzioAcJ7I5+mUQE3+Ail/We2CHW0uLfGe3L1CIwdBD2DQaQG0gmAvSRUEUQeCIOlFjZ0oSAIIIAqCAIIE0NQZJk7Wp93sWGLqhdiVUi9KXJC7U9JQlesjuiNvhtwZsTFifeS1kNfkpA5Sd8TuefkDDh/2G+xvqFQJQCjjqSCCKIEglAFVo9FqNLrKlSv37NnjyJHDqirbAqecc1sVKiIajcbt27fbeOru7m7Tp15eXj4+Pu7u7n8vUln5GOYv1TYWiyUrK+vBn3+mpaWdOJEYF7d55cqVERERs+fMGjdp5PejB/Ub0qtTr06tOrVxb+lZ37l+1VrV7Bzs7fQajSBUdYIZ0yo/eNyNY3dEX0Q3RE/kPsi9EF2Q12a0Jud+VOl38Vy7gX20GgG0gtagryRIBskggigJgp1G0EgAbdvC3n2uRmtfin4Ka8zRBdELuTsSZ2RNEZtydEfs/Ppt13nzq1erWvYAlQQHQTAAiBpB1AmgAaheEeb/XuHFi46IA1XagnMvRF/EFoitENvKSttSY8/PWeN27Ojeqb2uRmWNm6trm9bt+/TpPn3KhOAFAb+MnjR2+Kifhgyb+vNPSReP52a/M5lKVUqsVFWwrEKeM8pQVVG1csXKFDMxl/f4lzcv/M1jU/6SISLnNC0tZeLECePGjb548YLVaqWUyzKxWGSTyWJbA1FYWJyfX5iXW/DpY3ZWZk5mZlbm+9cfn918dW3/g/3Bqcu841EoAAAgAElEQVQH3gzzzljtbt7fAi93wJS2lpQWplRfNc2Ppfp8fXiqN7vhRq80IpdqkfMV2Tl7flqjJoDlMBTv1b7fon0UK1xeoU/f1l15vQPVO5m3lu2LqncgSpMYDeeWwMm5cHoWpIRpHq+xex5bs+TcYPy4FO9NKNzrmrfD8cU6fVKY047JutUjxfChEPK9dmNw53ev/kBEhgTJ48Jrs7O2NsmL1xTtEIy7dMbtOutunbITyE7gewR1h2iM02WvdbgVqDk8GdYMh6V9IWqA3Zrxzpm3tyPPQSxF6zN2I0COr8piQN0IGC/wGMANgOsBYySM1bB1grwCPi/VpM/T7pooLB0Gwf1gQS9YN8mz+MVpxHzEIjQ/sZybbI7W4DIBo/Tqaq1xnaBEgRoOxgjIWyR8CNG9DtLemwN317RA9UHOo31nplZLmyKmThZSFjfPe3EUMRNNj9nrs8YL0S/jf7gW0vzUr00Tf/e5tv673NQYVpCqvD7+dusPT36ralooYriAQcCDgIVDGS4XllGVBgtqsEYJtlOCKpCFFViQPQ+SMBBwAfD5IvtNq8y1zw8wlKxzztjQds3Ium3qiPZlJANBKwqg0YJOD3q9oJdABBEEjQY0els+WO8IHbtpN21t+DG/qxW/MavNZKUJ525ImqHVmVN3zj0ZOjNsyrEpx6aIzojOiF6IbZnS6/GfnUODq3q5i1oRJJB0Wp1GkrRarSRpBEHUarUajUYQBEEQJEmqUaPG0KFDL126RIhKaVk1jS1+ajabt2/f3qpVqwYNGnh6etpSUp6enn5+fh4eHs7Ozn+3SmWMEcYoIjLGnz9/vjU+ZsH8ib/N9p8zq+u06c2Dg/us3zAtJHRS335dm7jUrVLLTu8oiTpR1ImCTgAJAEASQa8BJwcYM6ri40e9OP+WcRfKaiI2QOKKiicyD0QXzutw3hix34P73X8YZjBIIIGolQyCpBe0OpAESacTBa0I0LgRBIdVycvvQ7C5wupw3gSZKzIvpO7ImyI2JayJSlvlFvRaGlWvTh2QBNBIIoAWwE4AvSRqNCBoACpoYWDfincfDbTwYQz9ray3We5XWNgvP2/Qh3d9bqW3TEx0j4/zXLK4zdhRzX8Y1jMkIHDtqg2HDx1PS72R9eHD66dvlkesHNLHf0CPnlN+/ulW+jVbIFKhqCAqnNuGlRGVylSxMquChCBTkf4fT6L6S1aO1LRJkyaNGzfuwoVLFotMCcpWajYpJqNcWmIpLjIVFhbn5xXn5ebnfs7OzM569enD808Zb7JevX9zJyPt6MMDYWnRQ9OCWjxZ4pa/q4V6rh1Lbc/utKOpvizFm6X68BRvnuqJKW6Y4sqvNWYXa9BzlcgZe3pGR0+J8nEoPQgf4+DBGrgSDScjKzw8OQnVm8yY/vKPWRc21LiyDq6ugKQIuBQISQGQHASPlgkv1koZsQ3VpG/5tZ7F+2oV7zG8j9PdjHI8Mku/aaw2zB8CBsPCcfXvpcQh2rytbOOfq7L2eBVsEa27Qd2rkfca5D068xZQtwu4T1K2iqUxmrw12odBkDgVNo6A1d9CdF8xcojTnSPzufqBoxXVT/RRjHlLUxYrkU2AW0QeA3wD4HoBN2kwRsPXCcoqyImSbi0Q9/4M60fBkkEQ0geW/1jrwdkoxBzEAuQfLHeWGFdXx2gdRmqUSMEaDXwZ0AgoCoO3AfBgNqTPMSTNrXR35wjEj1mPDh8YXenUD3BhNBybWuXZiVBUXqDyAeUPaHmFhWnszSH650b6difLP0EzEzJPBJ+d3zZ1Tt2iRZV5OGAo4HzAMJEvEmgg8ADAwLKsFAuS1CCdGmSnLqzAFjpgoB4DJJwP9DfRPMeueE6Vj7PrPAx0PTPfa3Z3hyYG0AAIEoBWAFEoc/5A0IGgE7Q6SSNIZbU1IEDdRsLUOVXS/uxspf0VbK5iI84bcN4EiTNaXVBxQ+qB6MaxMcWGhDdQaCOFNGO0NfJ++Z8HbtvcsEsHjZOdrVxHEMAgCHYgCoIkgqAH0AuCQRQkofwFa9euNXr02JSUNMo5Q1TLA6lms3nnzp2tWrWy+fuurq6enp5eXl42reru7m77EP6lGut/y7gtssuRUs4Q8eGDB7OmjZ76c6v9O3ukJXe+e7d5YfHYpy+n/zzZw9FJBABBAAFAlL6UKem0gq6SwcFehL499Wk3WiJ2YbwJZbURayGvj9wNqRvnTQmrb6X1KLZ7877XxIkOlRxtVcF6EPQg2b6jnVar02gleweYOr3quw89EDtzbEJZTU4bIvdC7suoM8N6jDci6FdcOmBjbNOmTWwVxaKkEQRJlCSNABoAkADsJejTrcKFS6M+lEx7kf/D3TeDL6T33XO8+5qNHcIivpk7t+3MmR0DAwevWD5jz+5VVy6ffPHsUV5uHlEZ47ZBOliYXxSz8f+j7qyjozjbv3+N7G4EKXUoUkpjSGmpe5Hi3hZtgSKF0hCSEHcXQoJDIBAkAQKE4F6oAMUJweNuG1uXmbnv6/1jNiHtQ5/31/c8T9/+7nOfnD2bnCSzM/OZS7/XxvHjJowdM2b+vDk//3yOIkVqEw8UidQmp0+QElsng9zSL0+dIK2x1H/Qkk/89evXFy1aNGvWrCNHjlgsFkKoyWQxGs3trNTmxsbmRnWdura8prakrLa4oKbgYeWDgtK88oJrtbd/LDq26fLKBb+EfHYzckDl+v7SwTfx0sf00tvSxYH00gC86Iq/voK/9KRnXyQnn5KOO4qHldIhhXRUJRy10+/j6rfDozVwZTkcDYcDcV0rryejcJ9ob1WcXnp/0wv12xTVGyAvAS7Hsr8tZ35LgrtJULaKqd/cUbf7GfMBR+N+VrcbatMhdzl70p9Lm8tFT4aACeA/tdOZ3R6iuVZElFCD6py6nPd06Qq6i7duYaRtSrKdp+mAW4Fs5aU0B5LW0bBGVRgOp5dC2ixmxRiIHQJrp3XaFzPSqHskUjOlOqo+b0j/zJBih5tYXAuYCo8N1TWAq0Fcq2hYoboXpTjszqydBvHjIWo0xE5yPJD8NWINohZRbS3IqN/ysT6pE8YxGAMYx2Aca41i1EGQ7wW57vDjD88fDhmhvpaJWFx1fXP6Fx2zvmSzp8CuGXZngj9q/GmFUHPe2nDdUnPNUnXFWveruSTD/Ft4Y8bU3KhBF5Z0ve7RsTKwgznCjoa15qDaCvsDGQzmMJjHABb9WOqnpAEqGqBCfx59AP1ZXMY3fceVL36mMvztW1Gjti8b4zd31LTRHw5+//W3B73m1te1W4/unbo8pVAqOY7jGIa1UQ9YBniA5zszE8Z02rd/UItxAsVPzegkkl6ILyP2Qvoyiq+i5IZSXxScqdSTYDdCuwm0h4T9EAc3NA+7cuXz2TO7dH8BFAAcAM/YSlyBBcYOGEcO2A4M8wzPPqdkVTwAANirWBfnV5Z6eF+/kWcWiYhoIVZE1Gq1GzZseP31119++eUBAwa4ubm5uLi4PWn995CKhEgSESQUBCIhYkF+YYDX7EDvNwoeTDEbRiN+3tQ8NC6x20s9oLU3glFyrL2K41iGAVAwSh4YJcBnH3JZe/potJ8g9hOFF4jYDfFlydpNsnZH2sdKegjUmeJHNY3DPDw7dOsKDAAL9sA4MrwKeGA4jmNUAIy9CqZPc7h58xPEEYjOFHsgvoikO5JXKHEWpT4C7Yn4plkcvS2r93sfgoKXwzicrAwNLACwPMt1UDDOvViP7wfkHJq5ZtuHIclu7kGvLPBy9fD/LDZpwaatsSdOHridl1tSUqbTGdtqGdpNnUJEbGpq2rRp04SJE8aOHTt37txz58/Tdv1tf7Gd95+y5EO7cePG4sWLZ8+e3YpUIs8uMxgMOp1Oo9E0Nzc3NjY2NtSr6ypq60oqakuKqgvzKx7llz4qLrxf+eB2zfVfy0/vvL/V/7fIzy8HuFSt7Ccd/hivj8Qr7+OlgfQXJ3LmRXr6Gemoo3RYhcfsyGFOOqygR+2FQw7Nu/mKNDYvBU6FwC4fyE50U+fvRqxCochwJ6lqR28xy4HsYpq3MEVr+ftrmLtroGQ1U7+Oa0lT6DM4yz4w7wXTXqY5g3mQAudDmZ2LmMQpEDYRQr9QZCeM0FbflhAlNKD+fNPpMdptjjSDw20M3abErTxuBUxjaJqKbO5AN3eybrCvTmAv+CkzF9itnsjEDYHkcdymJa+1VF+maKHUjJo865EFmtVd6SYVWQ9CKggbgawHugZwNZDVrHWtXXUc9yCcO+vJpM+AFRMgagSEj4D0gM8tTXeRailpQM3PTcdnlSd2sSQBXQ40VmGMdagMUd30gp8WwdnvOh33fuve4XVi/V3E4rpbG3fNfGHnF8o9X7E7JzI7vrA/6dHvcsyoq0lTL8XP+DV25sWoyafdXc999+yFhZ2vf2/3cKmqJkClD+WlMNamkNLWJWWr6mcxgEM/Dn1Z9OXRj0d/Hv059OGon70Q8FyzX5+W5NHS2USaf9JQcb+kqOjq9RsnT53KzMxMSkry9PT8+uuvx44d+/HHH7u5uXXr1q1Tp048rwCAF57mly3uX1LgiRhC8EuKHyEOMkt9EPsh9iOSMxWdKOmN9GUkvSjtbsXuZtLHSgcRHKdumJS6yemtN9inO4ISgAfgQcEAJ4dQgQdQ8KyiA8M+pVQ+p+Q6cgBKHrp3U3zz9aCZ0wYv8/IoLCohiAJSRGzRaFJTUz/++OMePXrIkdM2y/RvRaoooiCiPFCZIlZX18ZGePgs7Xfn9ljEOSbj5G3pPfq5gQ1YoACw51hewTMcy3EMywNwAP1cYfuOVw2mCYifiMSFSL1R6oO0HxFcidiDYncr7Y74cY16VEJCr67Pya1NHM86AKMEjgMGlDzryHF2DAz/VHnmxCBJmoL4IZJeSLsjdqP0RSJ1pdQJcSDi21Zx9OXrn48ao5Tr4zjgWJbnFJxCxds5KF96qceAfq9/8OZb0yd9Huz9RVjgpPCo6SvXe2QfXnUt91hVzT2juYGipf2HQCmh1CZkS+njYSparXbHjh2TJ08eM2bMnDlzzpw501ZFjK0Dpv5/E/IvL/mQb968KSP18OHDFouFUipPhDQajXq9XqvVtrS0NDU1NTQ01NXV1NRVVdZUlVWVF5eVFBeXlOQXVjx42PjgnuHelcaf99xL874QMeJ65Pvlaz8wHR5sOf4Wnn8Tf+lLTr1AjneQDimlgxweVZDDLD2qwGOOlhz7+m1M/jq4GM3u8YDUH2BP3CB14UEktShVWuuzmnLeNmQ5WnaBJRP06UxTKjRuAM1m3rBVZd5uL+5Ukl0c2cVKe1hDpqJ4LfwWxWQv5dZMg/gJEDcONi7oVnErBxEJNaF4x3x1Ucv256XtHGYyNJ3DdBa3AqYBpinoZju6yVHY4FC/XHU10CF7cYdNU7mk4RA/AhJnvvTg4nakGiLp0VJqvbGiNrW/aZOjaRPoNoMhlTFvYIV1rLiGE9bw1jV2tXF8eZzjjUC7fbNh9TiIGQphQyBlwcD86/uR1BNzOdLbujthj9b2KE8EdSJXFdfhQfSzP/l2OeDe+Zif6+X1M4pPrUTjQ6SlaL5e+1Psnjkv7PpKsXsSZE2EPRNg9wTY/yV/ZGans3OePz/3+Z/mPPPLtx0ufWef5+5YvKxDfVAHU5gDiVRhOPfYRA163CJF/Bnqz6Ifh34s+jLow6APQ/1V1oDOzcuebQztr98wVTq3Eit/Q1M1WvSSIMgqdYIgaLXaurq6goKCU6dO7d69OyUlJTAwcMGCBePHT3j3nUGTJ7ydFDfh0MGvL1yacjV38KOyj+sbh2mNQwUcgTgccQjie4j9EHsSfEHEXhTfQhyrN3z147lP583p1KsrqACUAEpgFaBQsSoWGJYFlgdgeZZ90V75spLtAsAyAF2fh9GjHbbvGHzjpk+Q34iIYPeqynK5tahZ27xq9er3339f7jd1dnZ2cXHp379/3759/26kSgKKElqpaEErQWxu0a1OCXX/we3K1TGE/HAk57V33wQlgIpneJ4FUDCsA8NywIBSoVSxLA/Qpzds3NyrRj0Y8VML6W2VXkZ8FfEVpP0QX0N8mWA3xIFm69jMXa859+YYAB44e4UDAzwwLKfgGBYULNgBfDqIPZnzlmieIonvEeqK+CoVuyPpgbQ3EmfE9xDHEDI1L2/C1KmOzz8D9kr+xeee7tWzj1u/19/58IPRk0bPXjArKCR4zeoN+3btvXHpYkXB3YrCO1azllDhD01dtLVDTBAEQbCIopUQgRCbWq2MHpPJtG/fvilTpowZM+abb745ceJEW7/w/3ak5ubmuru7z5kz59ChQ3LRsTwj9o+GalNTnVpdU19fVVNfUVlTVlZVVlRZVlhe/qi46sGjhvt3W/IuNV7MLtu//Nbq+ZcihlyPcM5PesmQ5Ypn++KpF/GYIz1qRw/xeISlhzl6TEmPOZr221WlsXdWwDF/2LYY1n3PbA7uV3RrF5JGtDZQ7UXzlUWaQ85NmZxpLy9l2Qk7OMsW1rwFzOlg3QbiNiDbgG4Hsh2s25m6VDY3njm6jFs/DZZPhPjxEDORv3MsHqkB0YpYgQXLmzPdLGksZrC4jSHpDG4B3AJ0M0s2KegmlbheqV7OXQ9WHFqi2vYNu3I8JIyGmC+ePrHVWxQqkJqQNFhLD1RuHaLZ0Mm0CXSprD6VM6/nrWt5YTUvrlIIq+y0Sarm5C75ER2OzWVSx0P8UAgfDFHTev18OBlRg9ZGJBVSw5HaY7Purna5n+xyP3nQjVWf3MiYWvFzAJZux5bz2PSLsfSA5mqK9rh32aaxPy5+5qcFyhPT4OiXcHwqnJwGZ2bAz7O4y3OVt7+zv/+93aMlDgWeDmVednV+Kl2gSgxRYBiPobb8PgbbeEoDgQYwUgBDA3kMUqA/g76A3kC8OaO3Y7Xns9Vhb2i3zZd+S8eKa9hSJepaBJNRFB8Xqv9hGY3GhoaGkpKSW7dunT9/ds/uzfGxi5e4f+Lu0d/b/2VP306B4Z3XbOyz78BbZ89/fOfeyOq6sRr9KJM0VMTBiOONlim/Xf80NPSlN18HexYUwDgAbwd29kwHFWvPAWuLljIAoOChswIcARg7Ft54jQ2L6PLw0WCCXkXFS35YMCAhzKuhqh4R9Tr92vVrX3/99d69e/fv33/gwIF9+vRxcXHp27fv326lUqQEJYpWJGaUJESD0bplS4qn57tXrs268OuEiaM6qgBUwCt5e5ZXAs8ydjzDM8AAzzIMMC+9AKGhLzS2jKP4rpm+aBSfItgL8WXEHoivEsmZSD0QB1I6+vipNz4forKTW5sYB56zk0vc5LcA4LU+3K4t/U26WYhjBEt/pAMQ30TyDuKnkjhEqx1WVf35zVuDD+V8EBI0YIBbh3cHOX01adwPi9wDAyM3bt627/Dh87/9er/ogbqpQWzTtBERrY91FYiEkiiriZPWK4bS1gmjhKAkUUIeS+GJonj8+PEZM2aMHj165syZhw8fNpkedxn/b+QpbUVqXl7e0qVL58yZc/DgQRmpsvTZHwzV5paW+obG2vrGmtrGyqr68rLqipLK8qKKisLysodFJXceVN292/LodsuN8wUHN19JWXhuidvFJZ3yozsZd76AR5/F4x3wmAqPsHiEoUcYPMbjMQfjPlXlRuZWIuR4w9bFsOo7JmlJjyunVyLqkFhRqMKmQ9bri9SHBtTteb5x11PGjA7i7g5SJk92Ae4B3AW4CzADcCdDd7LazcyD5expP37j15A4GeImQfBYOJs6W9IUIIqILag+0JIz1LjJDrcDTQcxHchWIGlANwHdxNBNnLSB06YwDyKZU17MjjlMyiSIHQPh4xw3B4wwN96SNTylhiuN+7/RrH3Guo6xrOeta3lxjUJaxZMUjiZzNFlhjGcbY/gHfsyZ+ZAxDVaMhsDPwGN4p+0pi5HqURDQbEBrlVhxSn1pef2vCda76Vh/HM2/WuoP1t1ZX3Ew4OH6KdfC+l1Z9tzdgGdLQp8t9FEVenG5C+Hyt3B1PlxdyF1bpLy+kM9bxOb/oCzzVJR7sDWeTLMfZwpSiME8DQLqB+gnm6WAAYCBQAOABAIJABrIYrASQ5QYwKIPSF5g8XVsDuheG/OBOccPHx7BxnxJ02DWmiRBHjVEKdrKgdpUldtfP+0XIVJ1dfGtW2dPn966IyNiRfJ3wSGT5897Z/7c/ou/d/bxeyV+uXPGnnd/vjD2+u0ZWzPeHTKMlTVWWAAe7FTwtAqeUrIdeEbBAPAcw3OMLSsGwAG88BTMmNLh1BlXjekjxKF689irV8fOn9EnfeVyoqMtNbqNq1Nf6/+a7Oz369fP2dnZ1dVVdvz/7liqPO5FVn61IIqIZkHMztnpvmRobOz7X0585ik7cGT4jnwXBhyBU4I9C3YAPDAscABPd4J533bMzx+FOFKkThbyPMGeiK6IznJ5hCT1loibJA2/devjKV/ZKVhggWFABWDPsCzDgVLFyBW8L74I0VE9LOZ5iAsJTiZ0ckvD6JKHw+7eGHXhxxG7d7y9PN45KLDPMh83L6+3fX0nrl+1/GjO0etXrt+7l19RVWeSKLbKfLaSkkhWSTITlJDatLpFSRQkIlIqyZW4omiVh6eKoiSJVJIVtOhjViLi+fPnv/nmm1GjRs2YMePAgQN6vf7xp/e/c8n//L179zw9PWWkys8JuVPuD4Zqi6alobGhXt1QU99QXVNXUVFVXlpWVlxcXlpSXlJalF+Uf/9Ryb17lXm5xRfOFWavexQ7+eYP3S8sgNJYDrM74zEHPMziUcYmKX2UpUeV+r2qyo3s7UQ44gNp30HSLIia23nfxrlm7SNEASU9CiXYfNJaGK+5PEd9ckh11oDK9B7q7S9odnbRZziYMxRihoJmcribx928aQuUpTC/hnDb57HLpzLhX0DAZNgS9H7jo1OIAqKA5puGc/OMW56lW4FuBSEdhK2MuBnoJsBUoKlAUxnrOq4ykbkQCJkLYMUXEDkagkbwSbNd62/uQaJHtKKhWPg1RL/2ebISyCqOrmRxJYvJDK4ATAJMYqUkThPLP/Rlfvqe2T2Lix4OSz6AxcOf3bXSA6VGFClaRUQDYiXSPKw/o83fW31lw6PdHmfDP941v0fmzGeOznK8+T1b4g0t4fbGSJU+lK9bBuUeUOgOBUvh0VL2oYeicClb4c01+SsNIUohXCWFK0goT0MUGMzaMOrf+tUfMABoIJBAkPyB+jMYwGOwAgM50Zex+tmZQroZkj4kh/3w4SHamC/qmgx6q05PRAEFgQiCSChpf6nLdkb7/nVqyyv8UeKYErGxofbBvduXLpzK3pe6KsUrKHDi0qUfLXF/e8F3rw0f9UKfPl2e7tL56Y4dOjt2cVA9q4CnGLBrzeSDggeWsZmqDhwM/pBbs7JXaekHFD8xYi8z9jRZPz175v1vJvU4viujuUK7Nn7Tm/0HvfJyz35ubn379pX7o954441+/foNHDhQLkT9Wx1/K7FaqWilaKJopmgl5Oz54/PmjRrY376TPagY9illJzv+aZbtwCmUctWUzFOegYnjFL/99i7iKKRvEOlVxH6UuInCq0j7EzpQkF5BdEEckV/w6cIFnZ/qBEoFzzIcAAscy/C2Ol4A6NiRX+zhcrd4fGnNuCu3Pjl8/I1t2wesTh6YGPV+iM9gP/exQd6zVsQG7Uhfe+LUvlt5v1TVlEjW3z0tLZTqJWJBNFJioaKEopWYJGJFpIRYJWqUqI4QvUT0kmQk1EzRKkoWQbA89m4oShKKAraZnnKN28WLF2fPnj1y5Mjp06fv379fp/ud4Nj/RzL+Py/5P797966Xl9e8efNycnJkpMq3SntDVafTaVpamhrVDQ31teq6qtrqisry8vLC0tKHxSUPi8vyC0qK8x4W3L5z70He3fyb12rP55gzgioCB/00Ex4GsLivAx6xwwOAhwGPAj0C9AiQwwpDlqo6lbuXxJwOgA2zIWEaRH6jCP/O6c7FzYjNiBaUjIjNSAvQdJ407tQVJdbf9Gm8vFD78zTNicFN+/o17+yuTe9i2WYv7VRY00G9lrkVxWX/wCVP5wImg99ULnrOiyUXU5GaUEKUKq1XIs0ZTnQrK20FYStYt7BiGoOpgBsBNwJZB5bV0JACtyJg72JIngKRYyBkOJMw5fm7ByPQVIuiGaVG6dEW09qeuILBZAaTwQZTG1KBpvCm5crSUMWlpXbpMxReH4LHJ6pNgeNqis4hahEtaKjTlV6uurG98Fz0rS3fnA//JHuxc/r0jhlTmMNfM798q8z9jq1aBsYwlkQrLKEgRbCmQEYfyDYug3pftt6XU/vxjX6M1g+sgUCCGQzjaAgjBYLoD9QPqB+gf6uJ2opUEgBSAEgBQLyBLgP0Z6k/a/FTWEOetcYPsKR9iZfWY91NUavW6U16AU0WFE0oCkT4ve4HtpszSimVw2WiKFJKBUIthAoUJUSBokCfoLKn1zYW5Of9dvHswQOZaZvXrly53N/fd+6387+YNO3TT4b2de3b/aVuzz/XxdFBZadSONgrZVvVpU9nP+/Xc298jvgN4udWdNJjFyv2MgvDsvb0nzPFae/mtOSIVe+99lHvl14aOMDNxflVuetULpNycXGRXzzR9//vWalEoEYrmgRKLRStFC2E/Hb113nzpnV7vjMPbEfesYPiKWDseWVHVqEC4HiFPc9yAPDR+x2OHX/LKn5K0Rlpj1ZPv7fV2p1SN4m+IUgDEIeo1WOCg156Ru6aV/K8kpf7T4EHYEGp5J7p0umdN119fEev3Ph5YER//+C3g4IHh4WO27Te/fCBpF/O7bt59UJ5cdUfpotTihRRpERASUBiECWdKJkRjYRYqCCixUoNBI0UzaKkl6iBohHRhGix5aBQor+bp0jbgquy+AJtfSxfvnx53rx5o0aNmjp1amZmZktLC/6vcvnJ7wX/5TcR8Y3QdmgAACAASURBVNGjR15eXjNnzszJyTGbzXIn37/6/hqNRtPS1NTcWN/YUF1XW1VdXlFZUF5xv6js7r2iO7eLHt4oKLh29+6t3Nx7t65Unz8g7AhUB7977VumLJTF/R3wsBKzW0eeHAJ6CKRDnHGvqm6z4kGy4sdAdvNsiP+SifiK8RzPbIkeVvVwL2ItohlRQjRRWk9oEWI+4iMUb6PuIqoPCKXrjbeDdT9Oa9j1Rv3mZ1u2KJo2cvnxzLll7NbZXNgk8P+SDflKdW2PNzHWo0RRapIKMnRZ71o2K8StIG5lhC0KcTOHmwA3AqYCWc+YVzHq5fAgCk5686mzubhxTPjnED/B7kTSFNJciJIVqYmozxp2fqBfbo8pDpiiwhQek1lMAVwBNAmsCdAQAQ/9+VPfKbZ/3Skn5LMrh2Ma8w9h86W6O9l3T6y9tMPneNKEAwH9dy/smLPA4eQixzML7X7+Xnl1ieLOUj7fQ1nhyWpDFJYITojgLCEsRnMYyWIkL4ZwQigvhalouIKEsCQQaCBgENAgkIJBCmZoMIOBLA1g0Y9FPxYDWQxgMZBB2UQNAOoPkjdQb8AAlgSwVn+lEPK8uPwNc9oU4dxKUnmdWHQmAXVWNJmJZCYoUdpOl67typEZ2nbPyHeBiJKAoohERJTHWMoDqSVCRZGSJ+lIN2sMpeXVDx4VXL529diJo3uydiUsj13ms/Sbb6aPGjn0nXdfHzjQ5c1BLgvnfnT2+MKCB4vU9bMatSOsOBhxiBUHNxumbU1/d9pkl/nTp77z2ru9uvXu5+bk6trHzc2lb9++ffv2dXFxcXFxkYtS/37Hn1C0CmgSkcozW61Uys274bFkSZ9erjzYq6ATBw4MwzMcBwzPsZ1Uis4ccK5OyqystwhOthIniTxLpKeo9CySrog9EV8h6GYlbyKOUjeOjo156cXngAFQcQqGYew729k9rerctWPPV7u+9obb4MEfzpw+ZZmHZ0Ro0IrkuJ07t587e+7+nbz6uipR0CGK7V0KkaCAaEUioGCbr4qCPEFAQGJtnfZtRVFAs4gmCQ0EDRRNFC0UxdZaUUr/MFucUkpFSgWKFopWSbLKeSf5j167dm3RokWjR4/+6quv0tLSGhsbEVGeXvuPKqJ64vmVY2FtBgVtlVJFxOLiYj8/vxkzZhw6dEgepiKr5coTemXfX6aqTqvRaDRNzRq1Wl1bU1lVVVhZ+aC06kFeUd6VR3euFTy6nJd7/cZvD679VH5ia92Kb6qWueZ7cC0rFHigAx7kbEg9LPMUpEOseb+yYYuiaJXqQrhD1g+KlKm2dlKvcXxq2FuFNzYQaxFSvXx9SqKeEA1FA1IBiUiJDmkt0mLUnjM/WNF85gt1Zm/1JseyRLgRyGTPY1dMhpAJED6JyY78XF9zFxFRNFPNlcbs0c0bHIV0IOmMuFVJNiuwTf0klRfXKRsSmaJo+DVAmTGfT5kAMcMhZiSk/jDIWJ2LSK2CgOb7hp++L1/R07Syq7DqaWFVJ2mVHVnFkRSQUhgxRVEbwd31UZ6Yb5fz/ctFu5dWXN12ZV/o8cgR2xf3TZ76zJppqt0LlWc82YtL4bo75P0A95fAIy8o9oVKf6bWX9EUoDJHdbRG2QuRKhKpoOEchrEYxmEYh2EshjCtOvyt1VEhIIXyJJSnITwGKzBIiUFKDFJhkAIDeQzkaABDgoDIEVUfQF8Gg3gM5CR/Xgh6yhrjYlg9Qrc/0HzzEGmqEgVJb6ZGA6GWP62kfiJCKEoEBQlJa0dL60TUx1LzYtt3JIK/dy+RoiQQS4u2pbKqMjf35saNa6bPnDx2/KdffDV0yeIJyxYP9lzkFhLYKzm5x7aMl0+ee/163qhrt2aHhL05aGBn55dfcnVydnZydu3r5OLm5Ob25EzU3+34U0oEIgoSiraxr2J+4YPgoJC+LoMUXGcOHFlQMQzLsBwAy7F2AFy3lyAxuWdN0wgB3zOJvRD7UNKHEidEN8QBBN+lOBjxC7153rYdA1ycQMVBz5eedX7V2a1f3/c/fX/sV+O/XTw/MjZq246tp04du3Htev6D/JqKOrNJ/EOOUR7aRAmRBUdto2qRirbBV5KIgohWEa0iCgKKAkqirSrMVhsmoTz7g9A27RLye5jazr2VooWimaJZkgTabljTrVu3Fi9ePHLkyMmTJ2/YsKGhoQER2wj1z1lPPLkyQKXfT3iU37lz505QUNCCBQuys7ObmprkZ4PcIi2PP5NfGAwGrUavaTE0Neob6prrqmpqK0pqyvPLKvPvlj64UvDg0qP71/NuPLh1ofTSkbKsmAf+HxR7PFcf4SBu7Yw5DniAwWzAQ4CHgRwE6SDQw7yQrdJsU1aut7+Z0PGEv8PmOWzyFIibBAEjwXcMxC18efear6/9uEVfn48o11cIrXYrokSpYKHEgqhBWoDN2caLsyu39ylJUeSFwsF5sO5LiBoP4WNhzbzedXeOI1JqsaC5UHtmkXpTN0s6T7aAuFVBNytkrx83At3ISxscjWsUVQlwJYDZNw82fgnJYyFmJMROf6Xs9lkBUSshxRZLaUbJznHF8a9Wx3ZrSHpRv+oZXYqDdgVnWaUU1nasi1Xd81Od/95h/9xns937b5jpHPgxmzQCUifAnq/h1CLmsidz1weKlkGlN1Przdb5MHX+jDoYGkOhJZTVh/JCpJ0UYUfCZZ4yGMZgaOsOYTCExRC2NaHPkBBWCFGKwUopWEmClTTIjgapMFCFgUoM4mkARwMZIodTA0D0BSIj1Z+hPkD9FCTsRWv8m5pN07Unk8Wiy9SkESRqtqAo2ly2/+E1hjJAW+8ptLXJyHkNsTW7QW35YUQrpQJSKyUCiiIKAhUsrUOoCJX2H9jzxZdj331/wKgxH69dHXfhxxNZW1esTV4UHTZ28cIBs+d0X7LUzd3jzfff7/Lcs3zPHt2cnF91cXN16z/A2dXNze3J9VJ/P1LlDDgSinLvZHVNRXx8woD+g+wUnXjGjmMUHMeznEouo3++KwRGvlRU+7kFPxPxLYKfEmkw4njECUjHaTWj8gs+++nXQdmHBqxd/9b06T3eGvTShLFDPZYsCgsPT9u+9cipE1dv5z0sLqtraDCYjPRfB8xIiLYhgG2zrdpNlpVQHigg2Z6AMkNFURZQRouEVhEF8fGkQUrazQdvh1RKKaEoURSozV8xUzRTtMhIbft37t+/v3Tp0hEjRowfPz4lJaWmpgbbDXb++5D5/7TajGhZY0wW8bNarTU1NadPn/b29p4/f/6mTZtyc3PVanWbvmR7KTKDwaTVGDXNpqYGc2OtTl2pri+rqC0rLikrvFNadLWo8PLD+3fvXK+8ea76ZFrBmjlX5j9bsISzrHsGc7pithL3AR4EPAh4GKQcEA8COcRJB1SmXXYNW+wL13a4EtfpwFKHtFns+qmwchLEjAbf4eA+EkLnvJoaPPngBr+fclbfvbKvouC8RZOPpFGGLKUoWASJ6BGLSc2OupMTCzY8lxvFnFgMm6dB3DiIGcdET+qYdygRhWYULSjWi3dX1m1/zbTFnm4BkqagqYo2NSlxLWNZrTKvVdQnwe1gOLYYtk6HFaMh9HPwGvnclVO7LKKopShQCxXyjMVbmn9eoj3/rfHKt8JvXwkH3tCs6lQXy9bFKCrC+fwA1W+LlTkzud1fd8yc/cKerzufna+6/L0i14O76wmPlkKZF6j9GEOAyhKkMocojOG8IYo1RIM5BoQoIOE8hsm7/YxooCFAQ1gawmEwjyGyKB8vBSnFYKUYZCfJVA1SkSAVDVJioIIGcjSQw0CG+APxB+IHkh9D/TkMYNEX0AvQCzDATgzrro1/v2XbAuu1TGwpRiJYRTRTFPHJduqfQ6Td/I5/nWdKbUSVkSogtaJoRcFKRbHVthUkUSKiVbSkb9sybvzoDz58e+q0L86f+xERkaBgNNaWld67ffPG9V+2pa8a/Nmbzzxt91SXzr1e7u3k6uzav5/bgDecnPv/U5Aqm6ayGj+RJETaqG5Ys2r1W2++1cGxA8uyLMMyDM8wCgC2UxdY5Nm1pGYaxZlaOsQojmlsmpl7ffzJw5/uy3x345r+sRGuQf6v+fu94xfwSWzsrLS0+KPHsm7fvpZf8KC6tsZoMYu/+8tIkEryX5eJKVAUEK2USm0glJAKSAXbwCvRlsUlBCUqa5LIEQCrhBaCFoIWSXZDqO0HiO35SSgllMrviRRFagumy0htA6tAiC1+JH8tLi728fEZPnz46NGjY2Njy8vLsdX6w388Up84o0Gv1+fm5u7evdvDw2Pu3LmJiYmnTp26f/++0WikraVUbTq5ep1eqzVoWoxNjabGWl1DhVpdWl1XWlpYVHinqPhWUemthw9K7lxWX9xfuSPgXugH1xawZf6AO5/B4y/QvSzdC3iYxcMMOQhiDog5QHJYckAp7FUZM1T1aXzRWrvLMR2OLFVmzoItX8GacRA/FkLHgu9IWDoUPIYol43uEvh1n7DFg1aHDN275psrRxMaC35EsZZQo0RMImlE6a7pYXLB9reuxKjO+0H6bIgbD/ET2JiJHY6vnG1uuYcooaShjcerdw82pHWgaUA3sbiRw/UMrgfcAGQ9K22ws67nGpPhfjicXALrv4SAT+G7tyHwS5cHF7KJZBRRJNiMmI/4G5qysDQGc38g58frt7s0JXXQJjk2xSiqgplif+7BMtU1d+Uv36t+de94fWnH+x7K4qVc5TK2zp9rDFa2hPC6EE4IV9AIBYlkxWjWGsNYY0CKARotI1WJYUoaxtNwloYzGA4YBiSkTZSPwyCFvGkgT4J4EqgkQTwJ4mkgTwJ5atssCWRlmBI/RvIFyY+l/jz6MegDuBTQA9AbiH8nU7iTbvVI8WQUll9Ec4soUROi9U9U056MD5TnJ5E2mLaWLLYzW9uRlmDblCXa+lqSiECoZLIYVq9ZPW7c+I8//ezbbxf8dukKIiJ5zIzmJktkRGy/fgO69+j5Sh9nt34DXPu6uPV37TtggJPz/xyn/1Wk0nYGIEFiJYioadZuTt306acfPtWlY5tAIQDLMTBpisvZS7MLar796fp7B0+7pW13Cgl+2XNxX89F7/otHRET9k3qupCjh3beuHGhqPhRbX2NwWxqPQ82P9oq2hJDNq+AUFGyaY3YakjNFK0SEhm0glwViGhEarFJkFgRhccTvh/31KMtGEpRICjZpErJvyCVik/YbYSlj4vv5K9VVVUBAQHDhg0bPnx4SEhIYWHhPxOpTxwsJmcY2qbdWK1Wk8lUX19/+fLl3bt3+/r6Lly4MDEx8fjx4zdu3Kirq9Pr9Xq9XlYcN5lMer1ep9XpNTpts665wdBQ16KurK8vq6orKy/ML7r3qPheQdnDBw+qb56vPbKmKGHSXY9uxQHQsgIwyxGPdqD7gO4DPMrTI7xwAOQtHWBINivt46U9CvN2UG+CorXKG/F2Z5fBoe8gaxZsngarpkDSl5AwEaLHQuhI8B4F34+BWZ/Aos8hctrT2/w/unEowlh3BVFHqAGxmbb8XH1wxuXY5y6F87u+g6TJEDuWiZvUcbvfx81lZxBFIugk043ag1P1m7vYQqgbWFzP4DoG1wGm8rjZXlzHNSXDvQg46g6rp7DBYxxCvux9MtXLqrmHqEZSjrprpHRP06XwsqxJVZvfbVjrplv1UlO8Q3MMLyV3IMkdW8LZ8mVQ5sNUBNmVBCjzfZkyP7YpSNniz+oDWWukHUnoJMY7miI4IRJoNNAoINEgRoMUDRgJGAk0jMMwFcqZqHCORDAkAqRwkEKA2KKorWr8gTwGsBjAYgDXmoxiMJChgQwNZEgAIwUwNpj6guTLSH4c9efkIn/0BFwK1BOoj4qEdhMS36a75uO17Vj/iFitZoqWv4BUgmhBNNjKvx/zlFAUCYr0d+6l9Ji7tgABJVQSiUWiAiI2a1qiomM/Hz76nfc++eEHr9zbdyi1EmJCKiFieVl9SEi8i8uAPn2c+w94rf+AN/oPeN3V7VVXtz5ufV3/rKT/77dSqc3BligKSE2IFA1ac/qWbR9++EGXLp05jlHwig4Ojs90ebqv8yvfzh0an/SVh/e7k77sOnNGn6lTnDwWf35437oHt6+WFhQ21NcajQYJJWx9eCHKoU+rhKKAVKAoEDQLgkUwW4hFoILN7pSoJBEkIgoCmq1okVCkRKCCVSBEth9NFM2USrT1/yU2tSeJUmIL3ZDHJi1FgVJCKZXBSkn7TR/vdkRqtVhF+RttSK2vrw8JCRkyZMiQIUN8fX0fPnyIrdPx/vlIbVPklW1PrVZbXV398OHDX3/9de/evUFBQQsXLkxISDh27NjPP/+cl5dXVlamVqt1Op2cmzIYDEa9ztTSZGhuam5sUdc31FbX1JaX1ZaVlhQUFzwqyX9YXJx3u+bCwZIt3nc9Bz76njet4UkG4H4Gc1g8yNADQA9y9LBCOMBYs8GaDcJ+EPcC2ctgFou7OWk7aLazFWn83RVwM4a5EsqfWAZ7PSBjMbNjHrP1G1g3DWK+At9J4DVeETDBPmQMGzIKkue8eH77wqaai4g6FA1oLND9EnE7yfVymOrg97B+ChMzCqLHOybPebns4jpEvSRZqTXffMlfn/YibgTcALiewbUsrmVxHeAaRlrB6hOgLp65HcocXqrY49PnyMrJlQ/3idqbWPfLoyPRV9ZOu7Hq81uJg3IjexZFPVsZ1aEp3tG8wk5czknxQBNYEstZwjlDmL0xuoM+yl4TrmiJYPRRjBDNWUMZaxAjhnAk2o7GOUpxKhLNYBRgJNAokKKByEiNgMeR03CGRjBiFIhRYI0EaxiIITJYGQySecqjXNgv7wDbpq2b+Mv2KSv5MqIPI/kx1A/QB3AZoDegN0jejOCjkIKfkaJdpDUjyMFgfHgGDc1WgsKfqKY9ESCtt6dIW+96CYmEomRLZhARiYDUioKIJoJWfJyzEuWZUZIkiqKEiDW16qDg8GEjRr/z/kcBwSGPCgtFSU5tYWlZeWh4bG+nV7v2fN6t/6t9+zu59e3n5vaaq5uLq8urbi4u/fr2+6cglUpmlMxtHVRI0WywZuzIGD58uJubq6ur6zvvvP35sCETx4/3+GFxUmJk6sbk8OCgL8Z/OfiDTz798P3E2EhLu+p3maFWFEwoWFCyEGImFgEtIooiUgnRIhBREiVikahFRLH18UVsBqlkRsEq27GUoCRQQihBQtBK0EJQIEgIRYKE2GSeRUpJq70q47M9VSXSPpb6xP04riq0N1TbkKpWq8PCwgYPHvzZZ595eXndu3cPWwue/z5e/g/Wv0GqXq83Go1Go1GtVj98+PDSpUsnT57MzMz09fX9+uuvIyIicnJyDh06dO7cuby8vIqKiubmZq1Wq9PpTCaT1WwwadTGlvqWpga1uq6mpqqqsqKyoqK0uLy0oKzs3sOq6xfrT6U9TPry+vznCtyB7nLAIxzuA7IP8JiSHOSE/YyUwws5nCWbsewH6z4QskDKAtwDuJPBrSDsgpYMKN8IZRv5otV2N+L5i3Gq82GKs378SU/FIXfF9oVMyrdM1HRFwBhF0OdM9GgIHQXLv33+6rFwtJSiSYvmamteasGaty8HKo67M1tmcPFjIXKsInyi42+7PYi5nKIFSRmp2NqQ7mrZqKIbOVzH4Voe1zC4BnAtR1MUpiRFfaLqRgCb/T1/OvGd6p/DrhwK2hoxfpvHWxlzuubM5M7Pg1xvtjiEb0qw1yfy1gRWigdMBIwHjAUazZJIjkTbCdH2xjDOHMFIcSyJBykGaBxDY3kao6TRKoyxw3g7jGFtZmkUkCjAaJAJK0dObTL74SBFghQFQgRYQsEaCmIIY0NqEI+BHPrC76gqb7ki1Q+oHxBfID6MtExGKkf8ePRh5e5+9GHIMtbqzUp+DjSsuzXmDUvaLHo1A7UVRBCI9ORr7E+QKmd3aRtSSStSJRTlpLKIooBWEY0EzYgCEoEQCyEWpIJsesm1VvfvFyzxWDZ85Oj3P/koPDK8oLhQ/hs1dXW+/gEv9ezZ45Wuzn27O7l1c3Lt6fSqk5vrgAH9XnNzcXF1duvXt/8/BKlIiUhECyUUJRStFAkaDaZjx47NnTt36VLPhITEjIydZ8+euX37dkVFuaalSafTnjn94+yv544aPvbzIcOjIqKaG5rQNmBJds3b2j5Ja6BTsqGQYptWLKWSXP9GkMoueVs+qd1kkbanpdQml9fuHZE+eZCz1K5e6s8uBSSESpINnZIkCoJFlKyt4/dskEJEtVqdkJAwdOjQIUOGuLu7y0j9zzr+f+18/fn6g7PftuTEvU6nq6uru3Pnzo8//piTk7Nx48aFCxdOnDjRy8tr+/btBw4cOHPmTG5ubnl5eWNjY0tLi06n0+v1Ol2LXlevb6nVNtY31tdX19SVVtUXVqkLS2vKHpU05uVqfz1Unu592af/NXf76lglzbLDgwxmA+4HzObwgIIeVEkHldYDvDWHsx5ghWyG7AOaBbiHwUwl7lCIO1lTBqfdYd+8vUNNmkPlJvvSDXb34pnCRFVxYqc7kQ6XQhTHfJhtC9kV0/nICXYBw9noCRAxATJD36O1P6JQj2KZoWBr4ZrXCxI6/RromD7XfvmXbOBwCJpst3flBIPmFlI10gqiO6s+9mXtpp7Nq+zIBntMtcPVDK4CuoqxJquaE1WlkYrrvnB8MWQvdjjg9eLGWQ4rJ8OWKXBkDlxaDPe8oCwQ6sNAG8MY4xkhgaWJDCYAjQcSAzSWxVgeY3kaoyAxHI3lMI7DOAbjGIxnMI7FWI7GcCSKI9EMlRkqG6qRrSZqOGAIYEi7LH8og+EMCbXVn5JghsqT+II4DGLaqaK08tQX0BfQB9Cn9bUvUF+g/qwU2EkMfJr6OaKvApcx6A3oBdQL0Iulvp0soX0Ma8caj0RZH/5IjQ1IRNquQJC0zvf8s+uu9caUw3GU0jahS6nVdJEIirZRF7YpF23ZZ3nMBCLizZu3Z82aM3LkqE+HfBYfH1dXV4uIxcUl/gEBrq6uPXv1cu3r5OLa28XtFVdXJ1dXVze3fjZVlL+Y7v/vIrW9D9uW8y0vLy8uLq6trdXpdG2zBtvWpUuXZn0za/To0SNHjAwJCamurv73t/r/9/XneGp7YStslqkkX0CCICCiRqPZsGHDmDFjBg8e/P3339+5cwdbi5z/U0f9l87Xv/k9/4pU2d83mUxyd2lNTU1eXt6pU6e2bdsWExMzderUYcOGzZkzZ8WKFTt27Dh16pRspcpIleOqGk2TVteobVHrGtVNdQ3V1Q3FVY35VU0FJdUV9x9or5/TH1lVnDjmuvsz+UEKU1oHaZ9SygHMYfEAh/s4uk8h7uXE/bx0QCkc4IRsVtzP0L2AewB3A+5R0Uwl3clJOzkxU2nOsG/ZZt+Ubt+81b55s0qf5tC8XlWVwlek2N+O5s/4MjsWsEnT7f1GsJFjIHYibP6he82VNUirEIv1hRsfrXEpTFRcCOZ3LFTFTWDDxkDwV/xK//caai8h1SPVoFAoPtpUd/irio0uhk29cGsPXN8BVzIkhTUm26sT7IojuFx/5telcOI7yJ4N2bPh+Hw4vwiuesBDH6gMAnUYaCLAGAOWOEZM5OlyJS5XkAROiJVtUhmjrTuWw1gO4zgay9JYlsQwNIohUUCigEYxGMVgG0wj2vL7DIZwf9zBrG2m6R92m1y/bJm2wXRZG08ZmyXrzxm97A2eHcVlDuijRB8OvQE9AD3koCpn8X/OuPw9Y8YC6UIqNt9DSScJVqkdUtv3+P83rnZKqdls/uWXX6ZPn/7JJ598+NFH27fvoJQWFxd7enq+2qePk5PT66+/Liuh9O//13z8v91Kbc0LI2Kb5fUvU/x+t27cvLHguwWjRo0aPnx4QEBASUlJ26/6Z64nHkWb8/6vH0j77imtVpuWljZu3LghQ4Z89913N2/ebDvS/9Qh/9Xz9WfrX5HaVlsqy0pVVVXdunXrxIkT6enpcXFxCxcunDlz5tKlS5OTk9PT00+fPn3nzp3KysqmpiaNRmMwGAwGg1ar1Wh12hadrqGlpaa5rlJdXllbUlldVVbcdP+a5scdVRsX3Fvm9NCd1cWxuKeDeJA3HQJrDpCDjI2qezncp8B9CtzL4T4W9zK4B2w7S4G7ecy0KaHQXbyQ0dG082njjucMOzrrM1S6Hax6EzRsdChL6Xg7xv6YF7t1ARs3GWLGQdJXsH7RC9cP+KJQjPhQ/zChMPWVoiS4Ggp7F8PKLyBmPHiOgNC5A8ryzqOtX1JAaxltOi1VptKiaLw6l2a9Jax6xrLC3pJi35yoqIpk8oPhth9c84bfvOCaD5vry94PYEuCudowRhPFmWJZSxxjjgVrPCstV9AkJSYqSAIvxnNSHCvFsTI95Y0xLMY8fk2jGRLN0EggEUAjW3kaCXJO//8FqW1b7kD1Y9CXwWUsLuPQh6O+HPXhiS9P/DjiywveSslLQZdxuIy1ZaiWALoDugNdAqK3HYlxktaNkPYuxgdZqC8TBYsokfadLP+prpY/u7CtVuuJEyemTJny8ccfjxs37ujRowUFBV5eXn369Onatetrr70my0r9G72+fwpS/2zJNYztP4K21/n5+Z6enjJSPT09ZV8Y/8FIfeKS7dA2y7TtimlDrYxUvV6/efPmUaNGDR06dO7cuZcuXfqPH+xfOi//5vc80Uq1WCxGo1GWlaqurs7NzT116lRGRkZqaurKlStXrly5YcOG9PT0jIyMs2fP3rlzp6qqSo6lyuFXrc7QrDVpmk06tU5T3dxQUV9VUVVRUaQuvdty+2zNvri8kKE3FzxV68vh+g6Y0wWPOkgHGXE/kAMs7mcxCzCLwb0sZrG4l8W90MZTuhswi8PdDGYCZgDuAtzNSZlPiwcH0LODWzJ61G1TWLI5Yybo03jdxo5VKQ7Xw9gj+mVpSgAAIABJREFU3rD5W1g1HZZPhTWLul494I9SIVquGK56lm/tUb2WvRsDh9wh5Qvw/AwWDrHfET/DUHMfEVFCUV0lau5Ltceku8vJ+e+kzE+Na16xpjxHVnUWUpT6RLYhBqoioDQUisPY4nBFZbR9TYx9faxdS6zSEKewxnM0gSPxrBDHiom8lKRsQ6r0b5FKYhgazdBoRooCKUJGKjw2UVt52joRmn3C/jOY2hx/lvozxI8lfhz15agvT30UxLdtK6mPEv2U6KdAbwY9wba9AL0Y9GSoJ2NewpkDXtCE921I/Mx6PBTVeaJoEcTHwsH/wWv+z65qQRD27NkzduzYYcOGzZ07NyUlxd3d/ZVXXundu/cbb7wxcODAV199VW7Y/7Me038KUsnvO5bku/GJPyYINgnF2trasLCwMWPGjBgxYtGiRZcvX6b/OZPt71xthya1W7Kz3HbgZrM5IyNj3Lhxw4YNmzVr1tmzZ9s+qP/2c/uJ69/8nn9FqtyKarFYZHuztrb2zp07p0+fzszM3Llz565du/bt27d3797du3dnZmaeOXPmSUg1NmsFTbNFV2/Q1DQ3VNbUVJTVVOTXPLpcdSErf6vvRc+3Ln5jX7aUtSbZi5sdpXQV2czQdAb32eMBO9zD0EzAPYB7AbOAZgHNArIHiIzU3YCZQHeAsB3M28G4g9due8H441isizedn1C1/cXmPQoxC2gmg9t47RqmeDn8Egx73CH1W4iaDOt/eKXwp2Sk+Vib3Xh0YumGLjWr4FEMHPkB4r6wS/ph0Jmd3sbSk6L5oaHptrbwdP1v6/Oz5hVsHlyxxk2zprt17XNkVSdMccCVKprCWpPAEA+aWGiOhZY4TpOgMiQ5mpPsLctVYqKCJLKYyGAiYCJDEjiSoKCJCpqoIAk8TeBJPEdimTZ0PnGTSCARIBdF0Yjf2ac2mNr6Tf/HSLUVUbHUn5X8GcmPk/w4yZeVfFniw9JlLNo2h94cetrcfFsFlQeQJSC6g+jOmN159Xdcjcezpf5upTGfGXKCsfa2KFr/TqSKoijPOBk9evRnn302duzYUaNGOTs7Ozk5OTk5ubm5tY3kc/tzof5/ClL/YI3KkcT2r9uXi8tINRqNK1asGD9+/MiRI2Wte/rPRuoTU+Ft36JPloAkcjmnIAiHDx/+6quvhg0bNmPGjKNHj8qR5f92dOnP1v/1MP+QnpIfEkajUafT1dbW3r179+zZs3tb177WlZWVJSP1D46/Rmto1lo0zWZtg7a5Tq2uqqipLKqtfFR+/2Lxz7sfZIRfCB55+tuXfp2tuLWIub8ESr2hwguaIhiy2RH3dMI9KsxibM5+FuAeoHtAkvcuwEwGtzPCFtBtgoaNULuJq0h9vuH4eNTuwNIVmiNjKtK7taTzZBeHaaBdDRWr+AthsGcJrJ8PMdMV2dFD9I/2oPGS5WpUVfobJSmq8gS4FwIH5zGHgvtXX1mhKc4q/Snp1/Tv90cN372s34ngPrmJLxeveLZ5laO43p6sU5E1SrqSx5UspjBkBUjLwZoI1kQQlzNSEkdWKGgSh0kcLmcxETARMAEwgcFEnrQZp632KYn5U6TK8VMpEkg4SOGtSI2wIZWGttmncmz03/r4j+1TBv1Z9GPQjyV+jOTHib6M6AeSL1Dfx5VStkYpr9bIqReDXpzkyesWM/XzmLJZTMlcRY3nC9UBzvWJg5u3zDUcCie3D6CmXBSt4u+Nhv+2AdHQ0CBT5c0335TlTvr06SPLoDg5OckuvxxL/ac7/m2fVPuqIPlbbRJe5LH6vSDf1evXr580adLo0aNnzJhx5MiR/2D6+7+x/qzAqL3yI6VUkiSDwdDY2FhWVnbv3r0bN24UFhZqtdoTJ07MnDlz2LBh06ZNy8nJkW3Yf5sD/WvrL52v/+th/sFK/UN66vbt26dPn5arprKzs7Oysvbv33/w4MHs7OyzZ8/evn27LT2l0+l0Ol2LRtOs07W0aFoaG5vqa+pqyiqrCyuqHpUX3yq/fa7sx12PMmJyU769Ejb0J5/+Py/pen2B4+XpcGMOVAQy2uUK8xqWbmVxlxL38LiHw10szWTIbkbazUiZgDsZKZ01pnLq1VCWDIWr2Ifrni/c8p7hahRqT9OidP2ZBTVb+uu2PCNssW9YZ1+4svNPYXY73JkVcxSbPZ0LToah/ifh7prKbcPq1ndrWm1XGQO3fODofMWexc8fjng97fuXEyYqV3/BZS/s9POyDrnBDiXRvDoRTCtBXAVCCliSQEwCmgyYAm2aUvLG5YDy17YtIzWRoYm8lMCLcawYxwqxjBjDkBhGigYpGmzZp8jHm0QxJIqhkQyJACkCSBiQUKD/h73zDo+qyhv/uTOThCISOiEkJIBIB9fd123vuvsuSlFRUBcQkHVVWFFCKgmQkN4IIYUSilQBIYReV1QEKQKB9Ezvvfd67z3n98fJXAcIrCwg7P72+5wnzxBmbm455zPf862rQkyoP+qnwdZ7P3GkESiN1YHU9A6e0tg9hTGaGFRLEwmUxKITw3xLI1wJ3c2JkZrkgfKUOPGyUcrC/7Xv+Kv32Erq+xrEPYO0zcilQwE3RZI/s3tKr9fn5eX99re/jY6O7tevX1xc3NixY0eMGPHCCy/gxnyjRo16VEgdMWLEY7elYnUMhiibnb6N0Wd37Njx9ttvT5s27S9/+cuBAwcwUkNVv1BN8IkLcz6hG3zmawD/3mg01tfXX7t27euvv66trd21a9eePXtOnTrV2NhYW1s7d+7cV199ddasWV9++WVoddFONd8HlQd6Uv/0Mu+2pWKkWiwWpVKJ3VNffvnlkSNHDh06VFtbW1dXd+TIkQMHDpw5c+bWrVs4iMpms+FQf7vdZnNYrDa9xaw1GpRanVSmEUvUArmKr5S0alqvG69/bb5Ypz2zSXgwn7szoaHk9e+Tx3y1cMB3i3tcT+C0pABVFrCXRXjWdfdv6Io+746+iERfdEO7wum93ahdHO82jq0mTFkOeEWgpYhoWv3MDyVD+Hveow3nECVAqrP2rzIMtdNMeycI1g25nDPwUGKvL5ZEHcz99Y3DCUj1JaXaqd/zJr9koL26u39dF30haEwjzi3ucmRR+J4PwLa/gCMfRZxZyLrwGWhKB8IsYCxlW0sJZxkIVAFYA+AmQFcRdDkBKwi0NqQKahlApXfxlEFqCZvGSC0kyAKCKiDoAoLOJ+gCIgjQUKoSdC5B5wA6h6CzCXoVQWcR8E776YPzNKMjvBSlEHRaR5YUnQroZEAn/aiiwqUg8BnwL+E4F0cYFndXfdpbkhgrzXxBs/Y10/aPnYez4A/bkOA0Ul9DJj7yGCDlgxQNSZoO8U0xyse/Nr3vnu13zHn8T5FItGjRogEDBkRERPTq1Ss6Onrs2LHjx49nuvLhjT+2APx0euKqqbji35gxY55//nlco/oJuKfutWjx/x45cmTWrFmvvvrqO++8s3XrVmwrYLw6zK7zPiv/5xQGo4zuxtQQYU67sbExLS0tLy/vwIEDX3755d69e48cOVJbW3v06NF169a98847U6dOfffdd7dt2+ZwOCCETHmROzB9H7A+0K3+F+RupPp8PmwadrlcVqtVoVDU19efOXPm0KFDJ06cOH369OnTp0+dOnXy5MnDhw+fOXOmvr5eLpebzWYc5+/1ep0uu81psNo1FovKaJRr9BKpViLSSgRKsUgqkgqFitYW1a0bquvfK699rfzhhPDrrdyjRQ07l1wpn/7dihcuJERfWti9/qOwlo/Z/EXAtCLCW9nPU/Gsp5xD7+nn393NuZ1j3MSRloGWbHBjObiaAb5b0fWHkomWS2uRV4qcKmRupZV12ktp/APv1H/+xrebZjQdTUTSPch50n6zULxtkrQizlrRw1dOuFcDQwHgZ7LrMyIuJbMuJ4JrSUR9Crs1gy3IZsnzWZoiwlzexbY23LGWcFeCQBUgq1mwOgJWhNPlbFgerNK/JgjWO2BaDFARgMUEXcyii9l0MRveHTKVz0L5LBSMkYK5gM4hYA4LZQfHKhZaxbot8jQzZKxgdTKWE0xy1I8jPbivTwZUCiBTAZkKYCqgEwGZSKB0FkwlyOQw52dhyg/Zso+7y5cOlKWPUhX+UV8z17Q/w/VtDdl8EsnraYuUtmkpl43y+fwB0h+AvgAiKdRRAO52eVSzNDRTBntoKIrau3fvxIkTIyIievTo0adPH6ylPqQ2igUHCYwcOXL8+PExMTETJ07My8t7WpDKKHdnzpx5//33J0+e/NZbb1VXV3u9XhTUYelgzeN77RR+ForeJvdCqtfrZbS5q1evLliwYNKkSQUFBV9++eXx48cPHTqEY+Crq6tnzJjx5z//efr06TU1NXa7HUKIaRWK1H867R7oVv8LEnqxzHXh3ic4jkqpVN64cePs2bOHDh364osv9u3bhx1T27dv37Fjx4kTJ+rr63H2lM1mC278zTan3mrXdiBVJ5VpJSKtVKiSixQKsUQuEUjE7XxRcyu/qYHXVC9o/UHQdF587ajw3Jb2A7kNGxfeLHqzIfOPt1ImXv046ocF3VoXhrctBPJEQK6LpHY+69wVYdjMka4BzavA1VTw3VJweik4mtKtbedfkOIcorQImRGSIHQFeY6jwBkEzyPrUVtjufTA3BtrxjcU9jWu7+mtYtFrgb8MWIqBPJ9ozyZaMkHrShYviyPKDlPksXUlhKkMWNcAZyXbU8n2VhL+SkBWAaqKRVdGwLURdDknSNWQcv2h+/0SAIsBLAawiEUXsfGAhUGSFrJRARsV/MjTYAA/AXNYMIeNsoMD1z/NYv04MkPG8k7HP0EqTAZUCqBSAJUKYBqBVoTTK7o7k7oZkvqq0uLFy0aLsn9n3DLffjDD9001aqhDootI0wLNCspu8tptbqfH7aHcfuQhkY9EvgAigx3Y7pCHn6LM3o6pdobR8d1337311lsRERFhYWG9evWKiooaNmwYdkw9jGCMMprp0KFDJ06cWFZWFggEnjqkfv/99wsXLpw8efK0adOKiopsNhsKqc55f7PLzwHR26VTpJIkyWSyW63Wa9euJScn/+lPf5oyZUpKSsoXX3xx9uxZ7A2vqqpasGDBa6+9Nn369HXr1lksFoQQVv0YqtIhwf/3unsPdKv/BQm92NArZbKnNBpNQ0PDsWPHsrOzP/roo4VBmTdv3sKFC3fv3n39+nW5XG61Wu12Ow71tzusNofJajdYLFqjUaXTK9U6uUwrk6jlEqVSKldIJHKxSCoUiHkCXhuP38zlt/L4Ql6brPWmov472ffHFOf2SQ+v521b2VT2/vWMP9xKGH5jQbf2vwFXbnd6Wy/37i7mrRzZWqJpFXFhKTixEBxcBL74O6jLiOUf+bupaaex9YiBd8Ao3qkXbFLcLJWcXNr++Yzvi8d/vaJPU8mz5i293DUcaj1AVYBcC5xrgLEMqFcDRSlbvrqruqynqTzSUdHNW8X2VwOqCtDVgK4CsArAKoCqAKwEsIKgyzlkOZsqZ9PlLFhOwHKA1hChSIWlgC4BVDGgiwm6iLgjTKpj5LPuUFE7fPrZbJTN6RirgiPr7uBTNlrJRhlE5yMd3DmW/eh9gsmATgF0CkGnACqFRad39yzvp00brM75H2PNHMuXKY6za703DnrbvwvIGwM6id+kdpv0TpPRYbG4XG6Xx+/x0d4A9JOICkA6QEKq83X0SGYpszvErc4RQg0NDXPmzOnXr194eHi3bt26des2aNCgUffuxPdAMnz4cKyiRkdHT5w4sbKy0m63kyT5tCAVCwq2LH711VenTp2amZmpUqnwpxh43ecgPxtJGekUqdgZhbvVq1Sqtra2urq6/Pz86dOnv/LKKx9//PG2bdtOnDhRV1dXWlr6/vvvz5gx44033sjLy2tra8OFSNxuN35xB1KflIReLGN7YZDqcrkMBoNAIDh27Nhf//rX3wflj3/840svvTRt2rRt27bdvHlTqVRinuKrc3tcNofNZrdYLEazSW8waHR6lUanUKhlMqVULpfIZFKxRCIUi3liIU8k5vIV3HYFt1XMbeLxGlp4jU3CpkbhjSvCiyelZ3dKD+TKque0Jo5omMuWfMIiayL9u7rZt7JVVeyWvLDzycShj8HuD8Hmv4J174MvU/uezf/FVwW/P1f426+KXjydO7EubWhtQr9/pPe/nt+7vbSLqort2swmNxP0RgDXAbIK+KqBuxo41gFbNctWHeFe1yOwvie9oTtaH4YqAaoAqJJAlQSqBKgSwEpAVgJ/JfBXEOQaglpDUGsIeg1BryFgGQHLCLgawCBP6aKOAQsJupCAhSx4L5jmER0JUTn3RioO4L8tTIqFVrBQBoHSOxt35/IzZU+TQwdBJXGojN6+3OdMhS9Zti7wn1tLNx6lZDecSr5FozIbjCaD2ag3mQ1mh9nisdl8Lqff6w34SZJEJAlhgMaFTDtdR49qluL9E1a8rly5Mnv27Li4uH79+kVGRnbr1q179+5xcXHY7vnwWuq4cePGjh0bHx8/fvz4yspKp9NJ07TX631akMr8r1AoTE1NnTx58tSpU1NTU9va2hikwmBi6/1X/s8pnSKVpunQHbFMJmtvb79w4cK6devmzp37m9/8ZtasWRUVFXV1dWVlZXPmzJk2bdrkyZMXLVq0e/duXAoPF3nyer34aKFQe6ALfwTzNOT4nQZReTwej8djt9s1Gs3333+/YsWKuXPnzp49e/bs2fPnz8c5VGfOnJFKpWazGfMXf8ThctldLrvTabNbrRaLxWQ0GXVGo1arVSiVEqVCrFCIpDKhSCoUSAUisUjElYhbpMImUXujsKlRWN8kvN4ivtLIrW+4xb91UXFxn7p2JTfn5Wtzn2mYA3zVveCubt7P2aaNHOHqiB9Whp1Yytm3mNj7KfhiEdi7EBxazDqzNPy71C5fJbC/Su3x3co+13IiuSU9VBXh5vWEuwYEtgC4hUXXENRGEFgPAhsAuQGQG4nAekCuA2gdG62PQOvCURWnw05azkblbFROoApAVwJ/JXBXAl8FoMoAvQbQZYBaQ1BrWHjQpYAqAXQxoIsADA66ENAFIDRe6keS5hIol2CiozoGRuqP+ikHZXHQSjZaEYQp3t2vYKHlrE7QuSwk0/SOkRQykjui9+kkDr2iP13ygqN6mvvQCrrxiF/eYNXIdTqj1uTU2wJGB2mx+5x2N+lyIrcDua3I64IBkiYhTUJI0igQeHxIxcoHRipC6PLlyzNnzoyJiRk+fHhMTEy3bt3Cw8P79u07dOhQ7Nx/eC115MiRQ4cOffHFFzdu3OhyuSCEfr+fpumnCKn4p06ny87OnjZt2tSpUz/77LOrV6/iT9HBfhv/Alken9xLS2WUOLPZrNPp1Gq1QCC4fPny5s2bsV11zpw5+fn55eXlS5cunTdv3ty5cxcvXlxSUrJ79+7Lly+r1WocEu/z+Rij6r/gl3v4mRp6/DtsqfifvqDg+n7Nzc0XLlz49ttvv/nmmwsXLly6dKmpqUmtVjscDiZIADf1szudDo/X4fE6XS6HHfehttgtRpNBo9MotBq5SiOTqaQilUyglIjkEhGXK23jytr44nZhe5ukoVV6tUX2fYvkhzZ+S/MN0eUjiqNFvNLp9R9FNc4nfNW90M6uga0s12ZCv47NK2VfyeKcTuUcTwo/nRhxejHx9WJwdSloXQ6a0kDLCo4gv6usOEK3mmOrAIEaQNWAwHqCrgmjasKoTQS5CZCbAFkD6I0EXA/QOoCqAF1FUJUEVcmiKlj0WhYq56ByNsKeqHKCLgdkOUGtAXQZgKsBXQbo1YBeDagygiojKIzUEgCLACoCqABXnAJ0AaCD8VJMyBQKTYgKjeFfxb6Tp1mcjuj9Ozz4GQRT6+TO0SlSQ8NOcbzUUkAvIaiUZ8mCcbbKaY6jOTTva69BajQYjHqz1eywuwJOD3S6Ana72221Bew26PPQgQBJQRLXOKHgY0UqDEl2v3LlyjvvvBMVFTV69Ohx48ZhX3+3bt369OkTFRU1YsSIiRMnPjxS4+LifvGLX2zatAnrpxjlHo/nKUIq1kAdDkdJScn06dOnTp26cOHC8+fP08E4Kjro0WOCWDtd+T+ndIpUxnWDxeFwYAsAj8e7du1abW1tRkbGK6+8gpNuy8rK1q5du3r16qqqqi1btmzYsGH37t1fffWVwWDAiioDr9DeeT/xwh/JTIX3QCo+Pr7G0OeCQtoIM//Ex8FUxW92+7wun9/l87vdPpfL7XI4HHab02axWUxmk85o0ukMGpVOI9OpRVqVRC1TyPgqUZuc3yZqb+W18prbRPXtsutc2S2+pKX5VvvFw+JDRW2r37z+8eD6+SxvVU+4I5zaCgJbgXsL0K0D/BJwPZN1eVnXaxk96lM4bcsI/jKgyALafKAvAJYSwllOeMoBWQ1QDaA3Amodi94QQW8MozcBeguAmwFVA8j1AFYDVAXoShCoBJ5K4K0i/OvYgXUcci2bXkugNQQqA2g1gVazUCkRGiwFV2O2EnQZQRUDqhjAYoAKASoEKB+gfABDYNoJUnMAygEwG0Amhv/+SF1xO1XvxdNOqZocwtPEjlr9cAmAy3pRheMs5VMsh7Iowbdei9pkttgMeo9J77Hb3E63y+nxuH2k10/6/GSA7uiHAREJEU3RMBBAjwipdyx/FNzFQgjPnz8/c+bMwYMHP//88zjstFevXl26dHn22Wd79uwZFxeHI/wfRlEdPXp0fHz8iy++uGXLFpfLRdM0tt7ihf9okPqQK/aOW7Nx48Y33nhjypQp8+fPP3bsWOgto0OcVI+Khj9ROj0I2ZlgqmLW4K2x0+m0Wq16vV4qlTY3N584cWL58uWvvfbaK6+88sknn2zbtu3gwYOHDx/eu3fv7t279+zZs3PnzvPnz8tkMo/HE2paxUorfXvmyaOl533kjruHf8ncHBRSmfCOucF8hNHiaZoKkKTH73f7fB6P1+VyO51Oh8Nus9k6uqZazSaTSW8wqPVapVaj0qi0crFWIpCLBCI+n8fjtfD4TQLhLR7/ZmtLS9M1weUjggN5rSXTb344qHEu8FVFop1d4DYW3EoEtgDnJmBZx9KsYcmK2criMHUR21BMGIuAuQTY1gBvJUGuZ8ENLLQBoPUAbcCDQOtYaH1HyxO0AVDrCbKaBasIVEXAKoKqJMgqIlBJkFUsqopFriXo0ODT1QQqZV4DFGo8LQGwBMBg7BQqBKgAoPyOnzCPgHkEzAVMmultsag5AOYAlA3gKgJmEp3nmDJppssBWg5gRtDptAzAdDwIuIyF0jgolQNTWFQKm0rl0CkcOoWDksJQMhumEDDlDrASKJGF0nsHCsaZ1061HsslRee9VqXdYXc57D671et0etxuPF2DZiFI0ihAI6yl0jSEFAUf0UT1+XwopAwTsxjPnDkzderUQYMGjRgxAvuOhg8f3qdPH6yl9uvXD+/6hw0bxvDxpySh4sDVESNG4FIAsbGxv/nNb7Zv384EkkMI8QuE0NOC1NCluGvXrjfeeOPVV1+dPXv2l19+iX8Zeu8eiXRKw3vJAyE1FKy4LwjOarfZbFqtVi6X83i8c+fOFRcXz5o165VXXvnb3/62ZcuW06dPHz9+vK6u7uDBgwcOHMCxR21tbXq93m63M0hlss7wfWOI9vCP4PFJqAU2VHx+n9fn9Xo9brf7x07UDofdbrfZrBaLxWgy6g16rVar02j0MoVOKldI5BKJlC8StArbmwWtjfymG03XWxovi384IThQwCt+q/nDqPZ5wF8ViXZ0Q5+Hwy0cejM7UAP8NSzvBsJZBZxVwFUFXJUdw1kB/BsIugZAzFO8r18HUHVwVAFUBVA1QVexqSo2rOKgahasYsEqFqokYAUB1wK4FsByAMtvCzuFpQCtJmAZgUoJWApgCaCLO+KlUHGQp3jXX9ChqDJhUkzOPpV9O1KZkU3QKzvLMQ3yFC4HEDeFzgAwo6OGNL0ckCsAtZyA6RyUFo5SwumkMDKFE0jlBFI5ZHI4SgxHSeFUahiVykYpbJTERslslEygFBadxKFTe/lzR1sqpzpO55OS836b0uNxe70+n9fr9Xo7NmX+Dk0Cf9GHjEfzxU8Hw6QghHjHgxeFz+c7c+bMzJkzsR46btw4rIoOHTq0b9++ERERXbt2HThw4PDhw3GC//PPPz9y5EhcKuWfUpXJXh0zZszw4cNfeumlffv2MXuyO+QpQioM7hMPHDjw7rvvvvrqq+++++6uXbuoYOY7DGlw//BIfXgV9f4HCaUqBivONTKZTDqdTi6XY9PqRx999Mc//nHevHkVFRWnTp06fvz4vn37amtrDx48WFtbe/LkyRs3bmg0GrfbjbcV+GfoKT39SL3XjWLUeeaLB/uvnE4nBqvFYjEZjQaDwaDT6xVqvUytlKokUplALGwXcVuELU385hvN9a1NV4U/nOTVFreXzGj8KKptPvBXRqLt3dHnXdHWCLglgt4cRm8KI2vYgY2dDoLeAOCGu6gaytYqQFexyGoWXcVGVRxUyUaVbFjBotcSsJyA5URHdFRQLcU6KaYqKiWwWtqB1KIQ/bQwhKf5AIXkR1HBtH2M1zsGXAU6R2pwYKTSGYDOABTubpIB/MuBbznwLwdUOgHT2CiFDZMJKoUg0wgyjaBSCZREoCSCTgmjU8JRUjhK4qBkDkohUAoBk9gwtWcgd6S1arLzVC4t+Y60qb1un89HYo6GtmskH6fN1O/3QwhJksRtIjFkz5w5M2XKlKFDh44ZMwYXlxozZsz48ePj4+Oxltq1a9f+/fvHx8fjGlTPPffc8OHDQ9l6H54+//zzw4cPHzduXFxc3K9//eu9e/eG1j96SpHKbB4RQqdPn54/f/6kSZNmzJixYcMGrF3TIe4p+CSQeq/Tvteb6RDLL4PCQCBgs9l0Op3BYFC1dnq6AAAgAElEQVSpVDdu3KitrU1LS/u///s/3CeVyYvHVN2/f/+RI0euXbumVCodDgf+Nsbf0v8BSO30uwcLxiumqtlsNhtNBrXOoNRpFGqZTCYSC3nC9lZBS5Og9UbrrZaW64JrZ9sPlraUvnPzo+iWecBf3hN93g1t6YK2RAR/RqAtEXBz+J1jSxi9kbiNp6Gjg6oEXQnoSkBVAVhFwBCeYqTSDEzLwI8BUqUAltzGU6qow8XfoZ/ezlMYksJPBVVUclXnVEWrgj347gFTzFMqPTgyQCAD+JYD7wrgWw6odIBTTlEyoFMBmQaoVABTmXxTFkoKQ0vD0NIwlMSGyUSH3z+tO5X3nKPyFe/pPCS5CO26gIcKBH7cq1F3FbR8TII1DCqobB0/fnzy5MkxMTGYjEOHDsVsHT9+fGxsLLal4o1/bGxsbGxsTExMfHx8bGxsfHz8iBEj7l/Wj9Fko6Kifv/73+/fv59h+r8NUnG0/6RJk954443S0lKz2QyDaiyz5314pD6Q3Ou07/N+5jXDDrw5cjqdZrPZaDTqdDqpVNrS0nLy5MkVK1ZMmTJl2rRpaWlpX3zxxVdffXX06NHjx48fPXr0wIED+/fvP3z4cH19vc1mwwfptB7rUyv3ubGhYGWEUV07KlXbbDaL1aw1GTVGrVqnlMulEoFAxG0TtLUI22+2N7W03eLXn2s/VNa8+p2bHw1qnQv8a55BW8PQFjbawkFbOWhrGNoahrZw0CZWJ+MumML1AK4H9HqCXk/Q6wi6CtCVAFYBugLASgJVsBj9lF4D8MAw/VE/LenY3cMSApaw6BICFgFYCFAhgAUAFRE/8jQvxKcfdEPR2YBe1TFgdmcj6x5IXQ4YEyqd3jGoZYBeBqhlIJAOAumATAd0GtGxr09k0ckEzjqlUkHQhEqgpWyUEIYSwlAiq4OziQCldoG58Z7KP5Onc5Hse2Q3Qh+kArf1rfgZ5hITr40Q8vv9dXV1kyZNGjJkCE4PHTJkyKhRo8aNGzd06NARI0ZER0f37Nmza9eu3bt379evX3RQYmJiBg4cOHjwYFyM6j5lU0aPHj127NghQ4b85je/qa2txTYHTNWnGql0yMb/1q1bCQkJkyZNeu2117KysjQaDfOoniBSO73wBzpIqCLmdDqxBUAqld66devkyZOFhYUzZ858+eWXP/zww61btx49enT//v2bNm0qLS1NTEz861//WlNTo1KpQsMAQk/vaZb735a79VbGIOB2u7GB1W61WQ0Ws85k0OhVCoVMJhSJuVxhe6uI38Bta21vFNz8lntoTUvp27c+GtA2D/jLu6GtLLSZQJsJtIWFtrDQFjbaTKCN4M6BecpYTtd1IJXawAqsZ/vXsfzVrEAVQVUCWAHgWoDWEox+yvCUKutw6DM+KFgSTNsvYdHFBBUMO4UFABbc5ui/A6bYrc/wlMrqnKro3kj9sY9pOqCWAWoZoHFRvhSAUgHN1OhLYqFEDkpko2QWnQIojNQOnrJQAgstCUdLwtFSNkwEMKkDqXROvK9qEnkmH8kuI6cdBnAzuDuR+vhAASFkCtcFAoG6urrf//73uBIK9jsNHz4cl0QZOnTosGHDBgwY0KNHj65duz7zzDP9+/ePjo4ePHhwdHR0VFRU7969BwwYMHz48JEjR+IU1U6ROmLEiMGDB7/88svHjh0jgyVHQlXAO+RpQWro0bhcbkpKyqRJk6ZNm5aamiqXy8lg2RRc1Ao+CqT+y6f3Ty+cDm7G7/6LjIvJ7/c7HA6r1WqxWGQy2a1bt/7xj39UVVXNmTPnlVdemT9/flJS0uLFi2fNmvXGG2+8/PLLv/vd7/Ly8qRSKbbJ3rH3f7h7/8TkDmsJI9gUEIpUh81uN1usRpNJp9OqlEqZSCLm8YXcNhG/kctta28W3fyGV7e6vfTNpg/7tM8F/rXd0DYO3MKGW1n0Zha9hUVvZlObCaqGoDYBqib4YhNBbyRwnGnQDQVQNUDrAb2e5V/H8q1j+9ax/NUAI5Vei+v1sWE5B5az6TUseg0LribgagKVEqiUwDn7Hfppxx6fQEUEo5/CAkDnB11SeSEqajZA2R2l+OEqQGcBOgtQuB10VicDZt6jvlRGR14pZFqZpgGYgl32xG05UR1+fDZKYsFkAFMATAYwmYDJbJjIQUvD0ZKuaElXuDSCTmTTSQAuBSjtGZj3nLd6SuAfxUhxA7p9uFtpp1rqYwIFFq/Xa7PZDh8+/Kc//alfv37YKhofH48dU8OHD8c+fezuf+aZZ7p16/bss88OGDBg8ODBMTEx0dHR/fv379GjR9++fYcPH45NpXcjFccMxMXF/e///u/x48eZ2M37f3M8YaSGHgQT0+v1Njc3p6Wl4ZzUhIQEoVD474jUu0lBBQv7430u47PCSVbt7e2XL1/es2dPUlLSpEmTfv/737/66qtTpkyZMmXKW2+9NX/+/I0bN4pEIvwRJprq/wekOhwOp93uNJvtRqNZp9WpFEqZWCLm84X8drGokcdrb2sS138trCvllb7e8mGkYC4gy3ugz7uiTeFocziqCUObwlBNGKrhoJowtImDakLGhjC0LgxVclAlC7c1RZUAVQO4HpDVLP86tq+a5a8iyEoA1wJUDtBaApazGZ5SZQSDVHgXTzFSYSGAITyl8+/a8ucEkYrDTlf9yNP7IrXT0nx38rRjO5/IRksJlBjkacqPmaYwOajDdvySTSeGwaURKKErSuhOL+1KJYbDJDZKYKGUnlTuSE/VtMA/ViPlTejx0TQKUIip8BM6Gx8JKJij3fHC4/EcPHjw5ZdfjomJwQX5hw4disv0jRgxgrGQDhkyJDIysnv37t27d+/Zs+fAgQNjYmJiY2Ojo6P79u3bvXv3Pn36MEjFPGWoig81dOjQl19++eTJk1g/xVSl7tGgBMuTRCr+oM/nM5vNeP97/vz5r7/+eufOnYsXL54+ffrkyZM//vjjS5cuIYQYAyK2YoT6ZJhF+Ejo+fik09gs7IpxOp1qtVokErW1tR08eHDJkiWvv/76rFmzEhMTS0tL9+zZc+HCBalUitvKMt5VMjiXn55rfPjpQYe49Rijqs/r9tgtHqvZbjKYdGqtSq6Qi8VSMU8ibuHxWpvqpfXn5MfL24qntn7US/I+8Bc8Q1V0o9Z0ocq7UGURVFkEtTqcKgun10TQa8LpsnB6NYcu5dAlbKqUQ5d3o1d3oUs5qCIMVbHRGoAqCLieRVUTZDUrUEWQlQRV0YFUWA7gGg5aE4bKOKiMA1ezUSkblbJRMauTUcRCheyOVlE4zRRH7zNppjm38bSj797tg14J7h5oZbAp9N11pDqphMJCyRy0FKBkgJYBlAFgGqCWATod0MsIbBmAqYBOBlQSoBKB9zPg+5RFLQ6jFoeTn4WTCRwqgQ0TOHRCD++yOG/VNPjNaqS+hnxOmgrt3/6IBS92mqYRQliBQAjhMO1t27b9+te/xmZTXA4K79Bx+5Pnn39+xIgRQ4YMGThw4DPPPNOzZ8/evXtHRkZi91RMTAzO+h84cGBsbCwOqxo5ciTO/ceAHjVq1NixYwcNGvTnP//57NmzDwTDnxup9O0ZUFar9ezZs/v27aurq9u3b9/OnTsPHz68Z8+exMTEN9988/XXX583b97Zs2eZ+4tvKOOcueOA/3ZIJYPdm0mSxElWOFm+vr7+3Llzly5dam9vV6lURqOR6dEdGqrytPEUPiLdpFOk+u1Wr9VkN+lNOo1GrVAqZFKpRCKTCUQiXmuDpP5ryfG1DUWv13/cjzufUHwMVH8Hyr8DxSKgWATkC4HsYyD/GKj+DlSfAM1ioP0UaD8ldJ8SmiWEJr2rIiNckQqsWYDCYK1moSoCVQGqEpBVBFkB6HIAgwVP4RoOKgvDPIWr2bCEBUs642kxCxV1lOZj+prchtRQnq7qnKf3ROqKznh6L6SmEWgpCyUSKBnANEBnACqT8GWF2ZeHG1PCTMkcUxLLmAD0nwLtJ0Dzd0K1kFAvJHQfhhv+Fqb9MEz7EVv7N8K8MMy5pI85dYSt4k3y3BqkvIq8JkSS6PHMPhSsxY6nEF7ICCGfz7djx46ZM2di79PEiRMZf/2IEBk2bBh2QPXq1atnz57PPvtsZGQk3vj3798/MjKyT58+0dHR8fHxGKn4CNgCi8MG4uLicDvVB4XhY0TqvQCHb5bL5UIIaTSaioqKtLS0nTt3Hjt2bO/evXV1dXV1dStWrHjjjTemTp06a9as2tpaXOzO6XSGWhKZjQbjL37KkXqvECIqWK8aZwQwhVfwfIIQ4l0wUz0gVDl9qi4QPiIt9W5F1ed1ex0Wr83stBgtBr1Oq1Yp5Qq5TKFQyGVSMb9V2nBBfHpTY9WC+rQJrZ9Fcz/tz1/cn7+4P++TfrxP+nH/3pf7977ti3pz/96X90k/wacDREuiJEujZYmDJSmx3PT4hrTo+iXd25YQxkwCrumCqsIQ7nFSAWAFQa8F9FoAmWqnZWysoqJSducwLQqOQhYqYKMCNspjoTwWzCVQDoGyAcploRyiY6wCKIsZrE5aQ9+/I/TdpfnuTjxNAWgJQEkslAroZSCQCXz5PdylcdrcocL0WEFGLD8thp8cxUsc2JYwqDUhujUhqj0hSvDpYOHiGN7iwbxPo/mfRokWR4sXDxWm/UpRNdd+rhoqriKvAdF+BB9Nm5NOBQVTpNxuNwp2wPzd734XFxcXGxs7evTo8ePHYx0T79MxXocNG4Z391FRUQMGDIiMjMTFp6Oiovr379+zZ09cODU2NhbXTn3uuedGjBiBFV6s4cbExEyZMgUrc/ABu2M8AaTSNI1LgiKENBpNeXn5rFmzioqKTp06dfTo0X379u3duzc/P//dd9997bXXZs+evXnzZqVSabVaTSYTjkfDyh1DVYZN/6ZIJYMJbYFAAMe6h345Y/syk6oBn75uMaHy06fHvaRTpPp9Xq/L7nVYHVar2WTU67RatVKjlKuUMqVMLBNyZa03ZJeOCA4WCms+kFX/RbZhnnTj+9KNH0g2vC9e3zGE1XO5a2fzKubwK98TVs8VrZsnWb9AtPF9Qc183rqZTfm/vp7YrzWBbcnmwLIwVE6g8uBOvxzQTJHT1QRGKixlw5IgUotuH4XBUcCGBSyYx8Y8hTkEzCZQNkA5LJR9O08zAbpXguk9m+795OJSGKlLAEoFMIvtzX/WXvacvWaSaess1eb3lVv+qti8QLH5fcXm+bJNC6SbPpBt+UC+5QPN5g+1mz/Wfr5Qt+1jw/aFhq0LtZv+rtu5zHSqytNyhjaLkN+J4OPSUmFI3CRmhdfr3b1790svvRQbG8sUlMIAxXolxuKIESPi4uIGDRoUFRWFf/br169///6DBw+OioqKjIxktvxDhw7FMMVUxQH/o0ePjo6OnjRp0jfffIOCXfIeCIaPF6mdEgRbA3Heulwu3759+5tvvjlz5szy8nLctmj37t35+fmzZs2aNm3a22+/XVBQcPPmTa1Wi6vD4Q/eXfr+6UfqvU4Pnz9zJ0PVz7vv8IMS6meWnz497i93UNXv93vcTpfLYXM4zFar0WjU61RGjUKrkCokAplYIBNx1W3X1DdOGL/bYfluq/6HWtX146rrJ5TXjimvHVP8cFTxwzHZ1SOSS3WSS3XiS3Xi7w+K8Lh4QHp+t/qrdZJ9KTfy/nDp00heMttd3BWt6xba2gQyfU1KCbSag0rDYLAp9G3tTApuH/kslMdGeRyYy0bBpiZwFYGy2bf1NeloEvWASO1UIU0N8TWFOp2WEvRnAKaxUHFvT/kI44b/M+9PcH1d47xUa7t02H7lkOP6IeeNw/abR223jlsbTtkaz3ga/xFo/ZrkfUsLv0Pii0hyCUmvIXkD0gmQS48oL0LYkPpYJiRCCGdh4Twlt9u9ffv2X/3qV/Hx8WPGjBk7dixOt8dJUFg5xWTEW/6oqCgcdjpo0KDo6Oi4uLj4+Pj+/ftjvz/OocJWV/xBjOOxY8fGxMRMmzbt22+/RQgxnpsHguETQCqmKu5ULBaLL1y4UFJS8s477yxatGj79u2nTp2qq6srLCycPXv266+//uabby5duvTIkSM8Hs9gMNjtdty/KDTinZF/R6RCCFGwdBMVrN4Eg+1SGKoyHw+95wyRn+hl3SY/fXrc/wh3I9Xt9jjdHqvTbbY5TWazyaC1apVGpVQtFSvkcrlcoZSKtJI2q6jeLrquETXKxW1ycZtM1CoTtUqFLVJhi0TQLBY0iwVNIn4jv/0Wr+0mt/Umr+W6sPGa8tYF5bc7m7cs/H7ZyBtLuhhyu8LqHqiM+LHuSbCpCSphMTyFxWxYzEZF7B/r8OffMdgwlwNz2XQOC2KYriJgFnEnTx+0LzRG6r0U0s4GTCb8SwG5koMqY12bX9LvmW89v97ZdN7Y2qRrb9cL2g3iVqO01aho16t4RpXYopa6NAqvQe2zaQNOA+kxUV4L7bVBnwORXohIiCiEIKIhhI93fSGEPB7P559//uKLLw4aNAgrp0wKKYYptp8OHz586NCheMuPSYrjpXCW1ODBg/v06dOnTx9cRJXxSuGP49bTUVFR06dPv3DhAv67Pp8Pz8MHguFjRCoD0LsdMrg4Ew50b2trO3/+fEFBwezZsxMSEnbt2nX06NGSkpK5c+e+++67s2bNWrBgQUVFxTfffCOVSk0mk8lkcjqdnSqqTzlSOxUGlPgrkbqryBZ+2903nA4WbWHKVD8N8tOnx/2PAG9XVH0Bv8vjs3v8VpffbHebLVaLUW/XqawahUGtVKvUUqVWJNdKFGqlQqpRiKVioUAsFIiEfJFAIBTwhHy+kM/lc1vbW1vaWptbW5pamhubGxuaGhoaGxubeW1NreKr/2ivK7yU/6cLn0YKktnu/DBUxrqtSRSuxVf0I1Kxfnpba5MQmKJ8bD9lhSCVBbMIOhOgVSy0ikBZLJhJoJVEkKfg9nZ7wRp9oa9X3hepaaHRUSEjBdApwJMKfHld/Ruft3zxqvZYmq3xhEnMlQgUYpFOJFGLZXKJSirUyIRahVSrU2mMeq3RZLSYrDaTy2HxOB0el8/jDvi8NOWnoR9CH6L8iAwg+tH0N2WePvMarwuPx7N58+Zf/vKXmKeYgHifjr3zOAoVIzU2NjYqKioqKmrw4MHYuY+jpgYOHBgZGdm7d2+cisqoqAyUR48eHRsbO336dFygGetqEELG1fHT5WfSUhmeBgKB0MpMOp1OKBQ2NjaeOnUqMzPz7bffTkhI2L59+5o1a+bOnfv222/PmTNnwYIF2dnZu3btunTpkkKhsNvtOE/R5XJhmjC19GFnMHrKJfRrEP8GhfTOhcErYt7PvI2+Pfr1Zz/xzuWnT4/7H4FRwPGcCZABt8/n8gacHr/d6bbZ7Faz2WbSWw1ao16j1eqVar1UpZOp9AqVWqFUKlUquVqtUKpkSpVcrpTIlVKZXCyVCYRivlDEEwh5AmEbj9/G5ba2cxtbeY1NLe3133PPfXFzy+JvU0Ze+xjo0gAqIdBqgEoAWs1CqyNQPgflsVERmy5m0SUsqpgNi9h0IYsuYNP5bFQYjgrCUGEEKoyAeWF0Dgvlh6ECDsoBMIegc1iBLJYvk+VfRQRyWHQOh85hw1VhMIuDVnKCWU8ETOeg5REwIxymh6HlXdDyrig9DC3joOVhaAUHphFkakcBFGoZQKkESmWhNDZaRqA0AFMAnQLg3RprEkBJgE4B/hWEvaivbtOvVYf/rrmyzSCu16hkMqVaptLKVWqFWi3VqkV6jcigVZjMWqPNYLSaLQ6z3WVxecxuj93n9QXIAEmRNEXRAZr2IRIj9dFsklDIRhsGeWqxWDZu3PirX/0Kx5/iLf/IkSMZlxS2peJQ/7i4uJiYGEY/jQ3KoEGDevXq9eyzz+KyKTi7H9dVwcfBlf/feuut+vp6PP2wFZFZXA8Ew58jiCp0eWBxu912ux0XxVCpVHw+/9atW8ePH09OTn7zzTfT0tIqKyvT09M//PDDxYsXL1++vLy8fMOGDXv27Kmvr8e94HGvTaa6F1bR6dtriPxrS/o/SR7Jw/2ZBZ858zSZr2R/wO/z+b1en9vtwcVV7XabxWI2Gg0Gg9FgMOr1Br3eoNPpdTqdRqNRazRqtVqpUimVSrlCIZfLZXK5TCaTyqRiiUQkEvEFAh6Py+W2t7Q2tbY2tDbeEFz7mn9i/ZWi175f+Ix0CSCzg8ppaRgq64nyuqP8bqi0Cyxl0avZdCkHlobRxWGwMIzOD6dyw6hsDizogkqeofLCPJkgkMuG+WycGQWzWeQqTmAVJ5DN8edyyDwOmcchc8LhqjCUiZFK0OkEnR6GVvagl3enl3VFy59BK3uitAiYxELpYSgzAmawyDQCriToTEAtAzCZhVI4KI2DlrHQMgKmE3QGC6Z3aK8wNaixJhEoCaBUQK0KM64eLt42Q/ZtpU54SaMVK7QylVai0Yq1WrFOq9DoNCq9TmnQGSxms8XC9F50ud0uj8fj8wbIjipTJElSVIAmSUhTD7/vRwjhVcz8xDPBaDRWV1dPnDhxyJAhuHDJhAkTcPRoqLqKLaHx8fGDBg0aPHgwzo/CgnNPcRRq3759sYsf2wdGjRrFHGrQoEEzZ868detW6Az8l9fRz4pURunAG3+ca4gLM7e2tl67dm3fvn2LFi2aMWNGVlbWzp07N2zYsGHDhm3btu3Zs2fbtm2bN28+ceJEc3OzTqfDn2U6ieIwo05D3//p6f0HyyN5uD+zMCd/57QJBqkGU6qcdrvDarWZzRaz2YwtQkaj0Wg0GgwGvV6v1+t1Op1Wq9VoNGq1WqVSKZVKhUIhl8ulUqlIJBIKBDwej8vjNrc1tXKbW9tbBI0/SC4ebNq65HLKcw0LgSkdwGIWKmHTxeGoqBvK7YIKu6PSLrAkGN5fwkElHFTMQUUcKgdQuQAVE6gsjCphuXOBOw9QuKp0NkDZBMoLQwURMJdDZgEqh6BzCZjDgqsIlEmgFQDh2lFZbJTdBWVGoAwOWh6GVkagDDadBujlAOVxUHEYLOIECghfPqByAEonUBrRoY2mAbSMQBkslEbgotFwKYCJACURKIWN0gi4gu3L7mms+h/t4aX6WwcNymatUaU2qTRGmd4gNRhkRoNKb9TpTAat2WCyWqxWK24P7nQ6PW631+Pxeb1M4b5QQ9sjmagkSXo8Hhg0ZyGEzGbz2rVrX3zxRdwmelSwrSnWKzFMcTwpznHCCVH9+/cfOHAg9vVjvA4YMACbUAcNGsRUnmYK+uG6KnPmzGlqakL3BsUDTeDHiFTmf0M34zgowddRtdbrdrutVqtWq1UqlQKB4OrVq5s3b543b957771XXV199uzZurq6AwcO1NbW7t27d8eOHfv37z979mxTU5PRaGTabTKab6i36unZCz9BeSQP90nJ3dOGqQHIlKzuKKqCq1XZbFarFZdNwCUBMWQZwmq1WsxWhUKBqSoQCPgCQTO3rZnX1sLl8lsblQ3nxScqrxVOPr/wWV4C4SnogtZ0hyVhdD4b5nYERVF5PyaYogKAilmohI3KwtCacFQRQVV1cZdzzMXAUACcJSyqlE3mBamaw0JZBFyJm/EFR1ZH3D5cCQK5gM4jUFYw5nQ5gCsBLO5ClXX1l3fzVj1rWdNdkcuSZbGMq1j+lYBKB3RHMD+ASYBOADABtzYh0FICJhIoiYVS2Cg9DOY86yqIM2993X1hjVd60W4SGyw6g9VgsujMFq3FqrNYDRabyWw3W+xmm92OYYoDbHC7sGC5frJTxeVhBCunEEL8ZBFCZrO5rKzsf/7nf2JiYnDLvIkTJ2KkMmDFiaT4dWxsbO/evbt06YITT3v37t2vX7+BAwcOGjSod+/evXv3HjhwYFxcHE6OwsWksfl14MCB7777Lu4Zeh9r4QPN258Dqej2aEoqWGoIC9OfGTcRuXLlyrp16955550PPvgAJ1PV1tbu378fpwDgwsxnz55tbW01GAwOhwN7/3Hw5t2P/P9zsD6Sh/sEBYZMG8YWH1rV2x0UpnY1I8HuADYMWUxYBqxYVxWLxUKRqE3Ab+LxG9p5zS3Nkpbr8kt1DZ8nnEsZd2lhN1V6V7K4OyoNg4UELASoAMDCYA3pQgDzAZnHIosi/KU9bIXd7WW97VWDrBuGqKtjBGv6N+b14GZ30eaEOXIJKhegVbjQCUArAMoEKAsbBACdBeBKAFcQ5ErCm0VQOEY1A8A0QC8H/hwANwz0fz7Mtm2kadcL8k0TG0uG38yL5+YMlmc8o00LMy0Lc2VEUMu7oPRwlMLq6GuSBFAKgVJZKIUNU1iBZV3Iglh7+UuOA5/C5oO0sd1p1ZhsJovDYnda7E6zw2mxuawOt83ptjndNpfLie8qhin2AzP66SNfVnSws6nH46Fp2mg0rl27ltnvjxkz5oUXXmD6lOCKUzgrn4nwj42NjYyMDA8P79KlCy461aNHD9xsKjIyEgelDhs2DCunjB02JiZm9uzZDE/vEznzQJP2Z0IqustGxqwQHKNqtVrVarVQKGxvb7948WJBQcGsWbMWLVq0Z8+eY8eOHT169PDhw7g28/79+2tra8+dO8fn841Go8ViwX1EmF3Jf6nKyCN5uE9W8IXcYTjCX8a+EGE2PZ6gMJpsKFtNJpPBYNDpdCqVSi6XS2UysUTMFYkb+cJb7fzG1jZuS4P05nnu8fWXV//l3MeDGhaGWdPZqJiDVrM6XFWFHQ1N/fnAvoplzIrQ5fVRF8fycoeIK1/Q7HxVX/u26uCs9t1vXan+4/msuB9SuypWdXUXRqA8FspkkErATABXATILBLJAIBMEVrL8y9n+dIJe3hFQRa0AvmyWuyzSsXW0ec+fTMfmWL9ZqvsqhV/7afOuD9s2vd2Q/2LDymENyQO4Sb2VyT0tKd2dSRxfIqCXYqQClErAVBaZQriXPespmeD8fIlpC0kAABtSSURBVFbgfBWSX6UdGqfTanXYHC6Hy+1yelwOr9Phc7h8Dq/P4fM5vV430/iEgWloaE3oBHtUExWbUA0GQ2lp6YQJE3D8KbZ1MhwcN24cVjNxRCrjoYqLixs4cGCfPn169+7ds2dPXHoqIiIiPDy8T58+gwcPxi5+HMSKI67i4uIWLFjA4/FQMGaRSVZ8yHX0cyM1VJhvJ9yy2Gw2a7VakUjU2tp67ty53NzcGTNmZGdn79+//9SpU4cOHcK17hml9eLFiwKBQK/XWywWbFQNpep/kQr/g5AKb889w2AN1VsZwnpD+iCF9l/BJgK8HzIajdjWJJfJJFKJQCpr5ola+KJ2gbittVXQdF16+SR/f8HVFX+49H43xUKAcliolI2KAVkIHCuAJR3YsliGVd0V2f1F+SNE5b8T1rwp3Pmh9Mhy9bdrdFc3a2/sllzZ3ny24tKWBedzJzRlD5at6uFYxYHZAGUCtALATBaVxSZXsf1ZhD8LeLOAN5MVyGDBFAKlAZQJUC4RyGM7y/raPv+FYf9M3alU49UaS/MRQ/MZ5c1Tkst1oq+3tNVmNny+6NqaGdfyXm7InNiaEsv9pLvy03BzAsf6KXB+BjwJwJ8EyFTCubyfde0k77FViPsPZJaRLqfT48Ht97wer9vrdwS8zoDHTbr8ARcZcAcCvru3+XcvqDse0MNPVI1GU1RUNGbMmJiYGJxsilucYlcS1k+ZYlFMaCqO1R82bNjQoUOHDBkSHR09YMCAvn37RkZG9uzZMzo6Guun2FaAG1KNGDHivffeEwqF+Pxx8CLe5nZ6RQ80Y38+pKKQICEsGKmMooH9+Hq9vq2traGh4ciRI4sWLXrjjTfKysqwfsoIbnh3/PjxGzduqFQqi8XicDg8Hk8gKI/D4vPvKI/k4T5xwdcSaji6g613662dtrTC6irWVXU6nVqtVsjlMplULJG180RCkUwqV7Zyee2tTYrmH3QXDwg2Lf7ub4PaFxDkym4or4s7i9CvYImS2byUZyTZg6WlEyRVk6TbF2iOZhnO1xiuH1Y3fCVpPM+7eUHQcl3IbeA2XWk7v6v+iyUXi357MakvN5ljX8kKZLPJlQSZyQlkRfgzOYFMtj8TeDOBNxNQGQClALQMoNwwurSHfU1/3cYJmv1/MX9XYmk4bOBel7e3Clq4Yp5AyG0RtVxXtV2UXz8m/naH6OQawb60pqp3bmT9qn7pkKZPe7cuDOd/BOSLgHkp4cvoYsuJ126c5b24Hen50OP0eQIuH+nBmb7egMdHOknSSfk9lDcQcNMBN0X6qdvl7tjEO57Ow89SnU6Xn5///PPPx8bGMrWgmDincePGjR07FrOVKb+PQ0qZ8FKsfjLaKI5XxfYBHMHKFPCfO3euTCZDwbAtmqbxFHok6+jRILVTudf53W0dw+LxeLCuqlQqeTze5cuX9+3b9+GHH77zzjsFBQWnTp06c+bM6dOnT58+ffjw4f3792/cuHHt2rVfffUVzv1nmoiENryD/w4e/8f3CP6ThO5MqNvTSQK3CwNWpjQtBqvNZsMWgA67qkwlESskIplIJGkTCNt4XAmvRdd4XlJbcjn1D9+/14P7YRfFku7StN6S3BGi0t/yq6fLd3xoOLrc/HWl5co+Y/0ZTfNlFa9FyufzuMLmNn5TG7+pXdDY1sZtuSL8YX9TbfrV0j9fSRnQtJStymC7crp4VoV7M9mBFSyYScAsQGcBciWAywBKBWgVmy7t7aqK12/7neHEQnv9Bkv7PzT8RilfwuepWrnKVoGiWShqFbYLRa1SYZNCcEPF/V5167Ti4heKryqltRnc9bNvZf/6euKQ6x93v/kBoUjsbin7H9+pfJp/EdmNlMvv8tIBiAIkGfAHKD/0BaCbRm5Ie2k/SXpgwAvpTnK7H8lExeoOCtousVcKIaTT6TIzM8eOHRsfH8/0LAnVRkPLmHbaIQr/HocB4B7R+AiMcx/TOT4+/qOPPhKLxfh8mAX4qC4QPSmkhmoZzErAfZmwEiGTyRobGy9evFhZWfnee+/97W9/q6ys3LFjR01NTUFBQVJS0meffTZr1qy33nqroqJCIBBgFwT2S4ZWVIH/Rep/inSKVLqzpOc75hWjwGKwYqpaLJYOu6pWp1GoVRKFXCwVCkXtQkmbQMzjC5TcW5oLdY3rPru49KXrn47hrfyVovJ105efWU+XGs9vs1ytdTaddfJ/sAmb9QKeXCASCeQ8oaJNoGziyxt4sltc0c12fkN7M7f1iuT6QcGRVfVrJ19Oi7mZ9IwovYsmg+PMZMOVrI520Cs6GkSjlYDK6e4oH2ba8Yrh1FLTza1m8XcqcbNIKOELVVyhpk2kaRHJm8SSJjG/kdfcJmzliXlCKU8iaZOJGlT8K2but8brX2rOlGlrU2U1s7i5vxXnvKirmYUaapFBBN1ej4ty+RCFEE1TdMCPSEiSyEsjD4I+SFOUH5G+x4dUCCH2LtLBEHKEkEajycrKmjBhwqBBg5hyUPdvsXe3YCPA+PHjJ0yYMG7cOGxvxXgdN24cjucfOXLkRx99JBAIHv5C7iNPTEvtdOoz9ZgNBoNEImlra7t06VJZWdl77703c+bMefPmzZ0797XXXps8efLrr7/+hz/8YdKkScXFxS0tLTabDZtT73BN/nxcfAh5fI/gP0nuhdROb2mncyx0gmErk8lkMhoMepVWL1OrZQqpVMqXyNsl8naJTCYW6FquSc/s4m5fJdyapj2Q7/h2q/fWMSf3klXUZJW2W+V8s0Kql0lVEplcJJOIFUKxnC+WtQulLQJxo4DfyOfd5HGb+K0y3nXNzaOy00Utm2ZdyR53Kannrc8IbRpBLg+mkGYAuBJQmWxvXi972Sjrjjcd53IdzUcs0nqVUiSRy4UypUimEEqlAqmUJxVzZdJ2qbBN2MYVcXlSIV8hFaoVEq1SrpEZ9VKbhutV3kKKq3TbKff5zY5TZa7vtiNtM/Ja6ADl9kJ3AFEIIZpClB/RNA1RACEfQn6EaEgj2Hli96OaqKFtfhBCGo0mIyNj9OjRUVFRzz333IQJE7BOOmbMmPs0gr5bcN2TX/7yl7/4xS8wT/HPUaNG4Zqqw4YNS0hIUKlUj3vRPQGkdjrj8QtGoXA4HHq9Xi6Xt7S0nD17tqSk5C9/+cvLL788efLkGTNmTJ8+/a233pozZ86SJUv27t0rFotx1n+oFfU+6+1pk8f3CP6T5EHvHvOG0JnGBAbg7b/FYjGbTCat0azS65RqhUIhUij4SpVAoRZLZQpeq7H9uvnWt9b6s962S6SsxSHn6mRClUKmUsrVKrlGodQoFGq5XCGVKWRymUwmlUpFUglPLGwT8VtEgiaRuJEvbGttVLRetrSeNny/qX3PJ1eKfvf1J5G3PiH0iQAuJ1AWB2aGeVd2seYMNFW85Nj/Afl9Jc372q0UGjR6ucYi0Rilao1CJVOqJAqlWK6QyORKmUKpUMlkSolYKROqFEKNWqzXSQ0GpUGn0avtJg1t1yOLGmmESM1HZgXymBDtpyno9kMfhSBCiPZDyosghRCkEPIjFEAI/ku3+qcLY+LDPFWr1UlJSUwG1C9+8YsXX3xx1KhR48aNmzBhwr32+PfSUseMGYPpictIM6lWWD9dsmSJVqtFwYKZD38t95Ing1RmrjPmMIw/KpgI4HK5LBaLTqfj8/lNTU2nT5/OyMh4/fXX33vvvYSEhJycnJ07d548efLatWsqlQoHQJCd1U95QLg9GXl8j+A/Sf7lu4ffRocERDO6qt1ut1mtNqPZqjcatHq1ViNXqyRajVStlikVCpnQopHZ1SKrgu/Uyt1mo0mvU6tVao1Ko1VpdUq9Tm3Sac06tUmr1ikUWqVCpZTL5HKhTMqXibkySZtU1iwQt7S2CNtv6sU3zYILiqt7+UfzrqyednFp7K2FYdrkLs4VPU3Le2lyhmjWv2I5vtx3bTeSXKE0MqvGpNE4NCavymBT6/VanVKnk+k1cr1arVMZtGq9XqvVaFRKlVyuksvUcrlWpTRotCaD3mQ0mkwOm91rdfksLtrug94A5XeTlC9AUz4KkgghBBHphaQb66YMUimE4ONEKoTQ4/HgeCm9Xp+YmIj7mGKv/bhx48aPH4/3+3jz/tOROmrUKFwEAAN6zJgx48aNe+6553D41GeffabT6fA5YKXt4a/lXvIEkIo6i4yBITXucNw+E1FoNBqVSuXVq1dPnDhx9epVHo8nFosNBgNjkcHrhHzq66XeSx7fI/ivoNuRyoRC40iAjpQAq81usZhNJr3RoDFo1Hq1VqfU6OQajcxs1JiMaq1OYTBqLVazzqjXGHRak05n1BkMOqNBZ9LrTDq1Was2qjUGjUar1ihVKplSKVEoRAqlQKwQCGVisVgk5oqELQJ+g5h3Q8f9Tnfh87aNCy4nPvfDop6NS/rws0eqP5/u/LbQz//Kr2gMaKUunc6ktZgMbqs9YLa4TCaz2aQ3GbVWg86iM1q0FpPWoFOrtRqVRq3UaFQ6rcZo1JvMJovFYjZbrVan0+51OwIuu99lJ11On9vr85B+L+0PQFyXj0SUG9FOhDwIkTRCZHBQQV31cQgVzN9XqVSffPIJ5ilWLZm2z9hfj/n403nKuLOw8XTs2LHPP/887oOSlpZmNBrx38UqKv2AlVAeSJ4MUtHtkTFUSJ3QUNWV0SmY/H38G6bzEh0MG+j0D/0Xqf8V1FmOSShV3W63KxiyajQbjSat0aA2G2QWo9RslJlMCr1JpTNrDFadyaYzWtQGs9ZkMZitJovNarFYzEaTUW8yagxmncmgM+q0Bo1Gp1Rp5Eq1VKmSSRRykVwhlUikwnYJv1EsbJUq5XKFXdJsu7xfuPWTSyt+cznzJfHOee5rFZTiG49J7DRrXBad06J3WExOi81pddmtLrvFabM4rGa73Wy1/b/2zu23jWoL438EEhTHiseOYzOOE9sBgQIBiQikUKlVHspNoXlEqnhDSLwhVFpxXiqkCiSEKioqcVQhBOKAuInLA4gj0RSkwwNtwqXgOBffZmbPzZeZ2efhizcT27lMm9hJu35yK9dN7PFk/GXtvdb6VrmilSpKaa20WiiuLZeKq+ViqVpStCozFFOvGqyiG4ppM6tuWk3bbtimXbNMx7E8p87rTV5zXdtzbe7anJucG5w3eiap0LLFxcUTJ04MDw+j/hQ9UdBQBKci6R9IUpHRGh0dHR0dRft/Npt94YUXFEVpuxj27P1x3kdJ5Ruv9c3eJz4Gtm3j9xs2W7mvgUw8lV+X/c9Mknpzs/UpxT/FlSA2VfGrWvRZMcZUTVWUSqW6VimvKuW8WslrykqlWihWVktKscxKVVZSWVFlZY0pzNANyzRNS9dNpumawipltVyqFIuV1bViYXklX1jOLxXyf+Xzf1y79vvvv/3528Jf164sLV1ZKv721+ryH38Yv/9Pm/9o8T9nrn70r8rlfzdX/msri6qyprKqYai2qdmGYjJVV1RdZbpmaqqhqYaqaExRtWpFrZaUalFRyopSVasKqzJWNVjFsDTbZjWLWbZu1E3DqZtuw2o2aw3uNbjX5M0mrzuO7bo1zuvcszm3PK/pep7j8fXbLkmq1zLoa+OXX345ceJEPB6XJAnaJ7ey/HJrFxW5qW3TU5BdURuAUBePDAwMZDKZ559/HvGpt9EVc08/dHsoqYEIKkM9XuD3+/QQu4C4bESg6i+r0hnTNKZpqqopmlbV1CrTFMZUxjSma7rBDIMZhm5ZBqLbNlcBxgxN0xRFrVTKRTgJLBcKy4XlpWWYYF3L5/9eWsoXVpaWV5bz+bX8NWX5T6N4zar8bVWXDGVVZ2VD13Sd6TozDd0ydcs0LdMyDcMwLF03dcNkjOkaYxpjTF0/NvFH05mmm7ppmbZtWXXbbtTqzUbdaTYcp+lyz+Wey12Xu57neviX53DuQkI9321XTrUwh+O+2PDKlSvPPfccCvIRiqKAPygIYNPpNAqk0P4/MjISj8dlWcaTv/jii/74tGeQpO6Ifp8eYhfwNi7/RbGq33llXR91nTFmtDBN02qZB6A7C34isBTwy6vozoKTwOrq6grMWwuFQqGwXCisrKysroDVtbViqVypVBVF1TTGdMMQZiWWbVvWelutZbdcC3xSvv6K6zdd3AzD6Op10uML23VdeHfAKA7h6sLCwrPPPov9U1SPoscUOhhITxHVQlIRq46NjSE3JUnSyMjIyy+/XC6Xuc/NvWeQpO6Ifp8eYnfwug0K9JsDiK0ATI30OwaIqufO/lfxvQh4hcGgsBZcbVFsUSqVKpXKPzbPhiH0uutrtR2nONQ2Ou1ORPq3xxc2/DZd18VO3eLi4tzcHDpE0bCPRTruBJVUsS2QSCSGhoZghDo6OhqLxVKp1MmTJ4vFIu+HnvKDK6k9pt+nh9gdPF+gKnKbWxgFdHWN6Owg8De/thyy1+2vhK9guVyuVCrVahWmrqqqapqGWFgYkrb1qmzWD+bX2Tb8/bj+Y+79hY3nF/moZ555JhQKoVsfvUzDw8Ni5R5IUkVwin1Y5LUSiUQ4HJZl+dSpU4hPcQZ6/+ElSd0R/T49xO4gfqCdS5xO5Worc/ZfD53fIuRV1BL4vVrUFnD4xfaCMHju9NDruuryv6jjdJ+V6e+d8f/y6PGF7XkedlE551evXj1+/PihQ4cgf8jFp9PpsbEx4XUSVFJRvppMJsfHxzOZDMxWEomE0NNma3hU7z+8B1VSd+VJbvDliANH1x+ot4lEdraNcN5ekuV0+Lb4/QSEV0ubhnYaPG8hqf4jb1PVrgTaE9u784w7ly9fPnbsWCQSEat1VEpls1mk+4NmqETnPnZgM5mMJEmhUGh8fPzMmTPIR/VRTzlJ6o28HHFz4O1AUv1fvNnX+yXV79zaqaHXIamdx9kVb2N9d78kFczPz8/Ozg4MDKDjHol4jDhFj5Msy2ICSieb1aWiOUrswIZCoVwu99prr6mqKuJ0tzUvufcf3v0iqQTRR/wq01WGtv36zn1PUarVZozdln3qlO8t9C7o7/7eSKdfysWDP/zww+zsbCwWQ8mU38cE7afCha9reiqVSg0NDWHvFZorvP6w8MezSZJ07733vv7669VqlXOOTtO2JcWevvdOSFIJYhfoutx2HKdrEmnnGrr/waaz53nCi6TRaPz0009PPPEEJj5BNFE32jUC3aJLKpfLoVUf2wX+rBSGU2Wz2TfffNMwjP6eBD8kqQSxC2wmqZslkToltd/v4DpxXbder3utQaec8x9//PHpp5+ORCKRSAThJOqlgtqgoFEVMSyMqSDK2EiVJGliYuLs2bPQ0/1zAklSCWIX6LoM76qzbisLL/S038d+o+Ad4c7333//1FNP3XHHHclkEsOjxETSoKqK/YFUKpXNZqGtSHCl0+nBwcG7775bxKd76iwVFJJUgtgFtt3l7Cq1N4GeOi1zfs75pUuXZmZmbrvtNrnlCY0YEykpePUHClRHRkbQ8i9i1XQ6HQ6HH3jggXPnzpmmyVv5/f1zJklSCaLXHPTFvh+n5df37bffHj16VAw3Rf0pgkr4QIuV+87BlGmhy7FYLBqNTk5Onj9/XmSiXNftS0n/ZpCkEsQeEihBfxBBlPrVV18dPnwYw6NQhw81FKNJ0+l0LpcLOv4ESS1Y9Mfj8dtvv/3BBx+8cOGCZVmcc+zhNptNWvgTxK3Cza2nnHPXdT///POZmRkk9xOJRCwW66zez+VymALddTvVPwNVPCLEFwIdi8UeeuihCxcuCAFFZmxfhaicJJUgiB2CtL5/18J13U8//fTo0aOSJMmyjFlPKOlvE02/10nb48lkEt7+yWQSxaowAZBlGbsHqVQqEolMTU1dvHixLSDdV2IKSFIJgtge13UbjQbEFPP4HMf55JNPjhw5EgqFBgYGUDGKltOghvzI6Uej0UQiAZ8qqDPyWgMDAxMTE++++y5MrfY5JKkEQWyP53no9UJJf6PR+Pjjj6enpyVJGhwclH39TlDDQJKKPihY80GOsdhPpVKhUGhycvLDDz+0bZvvy7C0DZJUgiB2hOM4lmV5nlev1z/44INHH300EomIsBSLdGSlAkmqLMvoTxXPI4LcQ4cO3X///V988QUatJrN5v4PVElSCYLYHigp/n7//fcffvjhSCSCRTp8oLHpiQAzqF8f/Kigp6hFTaVSd9555yOPPAI95ZwLa9p9HqiSpBIEsT2o56/X6xcvXpyamopGo/DSF0kn9J4irRS0/lSWZRQJpFKpTCYzNDQUDocPHz785Zdf4tURpWLsSl9Pw/aQpBIEsSMajcZ77703OTkZDodRLgpzftSfInd/1113wVt6C/Vs+18xjw97CMhHTU9Pf/3114iLRb8Z53y/lUx1QpJKEMQGhGaJzn3OuWVZ77zzztTUVDgcFmt8qCHuiBIoWZYRwHaSTCbhKSW+EVqM/igs/CORyPT09GeffeYPSL0O88B9C0kqQRAbgHLBNEus98+fPz8xMSFJ0vDwcDabRZoeG6Bd90Y3i0/HxsYymYxw+Iek4j78UB577LFvvvmm3+fg+iFJJQiiHVShIk5sNBpvv/32fffdF41Go9EoUkkIVFHntIOd0n+kVvhLCT+UeDyOQlRJkqanp7/77jscw4GISTshSSUI4h+Q04cXCee8VqudO3cuk8lgXp7QUyzVg5pLYasUcoyt2Hg8jkcGBwdnZmbm5+c553h11zef5gBBkkoQxAZErZKu62+99db4+Hg0GhU+exhNii3RnYspSKfT2WwWM01Rd4X1viRJR44cEXrqOI6IkQ8cJKkEQbSDiqWzZ89mMplYLCYEFPGpSDEFClFRYoX+KOSvUqlULBaLx+PHjx//+eefeatYql6vo+e136fheiBJJQhiA57n2bb9xhtv5HK5wcHB4RZyK++EgqdIJIIq1J2Dr4d9qizL0Wg0Fos9/vjj0FO8dK1W03Vd2LAeOEhSCYLYgOM4r776KvY6MaAUe6YITkWzaTweh91JoFh1bGxMlmW4VQ0NDc3NzV26dIm31vuY1oWhhwdUVUlSCeLWRYw5MQxD5KNeeeWVe+65JxwOo+ZJlmXoqdyyOBH6uFkR1RYIlz9Jko4dO7awsIAjabOR3VezTwJBkkoQty6iNwkhoWVZp0+fzuVyiUQC+X3UOYna/jaCzpLCjD/o6ZNPPrm4uNjvE7D7kKQSxC2KCFFrtVqz2WSMvfTSS8lkUpIk1DYhMhUjTgOp5xaqmkwm5+bmfv31VxzGAU1DbQZJKkHcujiO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" width="320" /></a><b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"> </span></b><br />
<b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Instruksi web
browser</span></b><br />
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<b style="mso-bidi-font-weight: normal;"><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">
</span></b></div>
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<b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Mozilla Firefox:</span></b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"> Tools >
Options > Advanced > Settings > Manual proxy configuration.<b style="mso-bidi-font-weight: normal;"><span style="background: none repeat scroll 0% 0% rgb(235, 239, 249);"></span></b></span></div>
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<b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Google Chrome:</span></b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"> Options
> Under the hood > Network > Change proxy settings > LAN settings
> Use a proxy server > Advanced > HTTP.</span></div>
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<b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Internet Explorer:</span></b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"> Tools >
Internet options > Connections > LAN settings > Use a proxy server
> Advanced > HTTP.</span><b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"> </span></b></div>
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<b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Opera:</span></b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"> Tools >
Preferences > Advanced > Network.</span></div>
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<a name='more'></a><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"><b style="mso-bidi-font-weight: normal;">Tingkat Anonimitas </b></span></div>
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<b style="mso-bidi-font-weight: normal;"><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"><br />
Level 1</span></b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">: tidak beranonimitas; remote host IP tidak diketahui dan tahu menggunakan
proxy. </span></div>
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<b style="mso-bidi-font-weight: normal;"><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Level 4</span></b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">: anonimitas
tingkat rendah; remote host IP tidak diketahui, tetapi tahu menggunakan proxy. </span></div>
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<b style="mso-bidi-font-weight: normal;"><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Level 8</span></b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">: anonimitas
tingkat menengah; remote host mengetahui dalam menggunakan proxy, dan berpikir
untuk mengetahui IP, tapi ini bukan dimiliki (ini biasanya proxy multihoming
yang menunjukkan antarmuka inbound sebagai remote_addr untuk host target). </span></div>
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<b style="mso-bidi-font-weight: normal;"><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Level 16:</span></b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"> anonimitas tingkat
tinggi; remote host tidak mengetahui IP dan tidak memiliki bukti langsung dari
penggunaan proxy (</span><span class="longtext"><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">string header dari </span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">keluarga</span></span><span class="longtext"><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">
</span></span><span class="hps"><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">koneksi proxy</span></span><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">). Jika host
tersebut tidak mengirim string header tambahan itu dapat dianggap sebagai anonim
tinggi. Jika proxy yang anonim tinggi mendukung untuk tetap hidup akan dapat
mempertimbangkan hal yang sangat anonim. Namun, seperti sebuah host yang sangat
mungkin menjadi honey-pot. </span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"><br />
<b>Planet Lab / CoDeeN </b></span></div>
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PlanetLab proxy server ditandai dengan ikon berasal dari Proyek CoDeeN Planetlab
(CDN), jaringan note pendidikan internet di Princeton University. Proxy ini
dapat memaksa captcha dan mengalokasikan sebuah alamat IP yang berbeda seperti
yang diiklankan. </span></div>
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<b style="mso-bidi-font-weight: normal;"><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Catatan keamanan
</span></b></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"><br />
Database daftar proxy terdiri dari 'proxy terbuka' pihak ketiga; proxy server
diatur untuk penggunaan umum. Sama sekali tidak ada kontrol atas server proxy ini
dan tidak dapat menjamin keamanan, sehingga dalam menggunakan database beresiko
untuk diri sendiri. Untuk koneksi terenkripsi dijamin aman, server swasta di
kendali sendiri, kecepatan cepat, handal dan beberapa server di seluruh dunia
disarankan untuk menggunakan layanan VPN.</span></div>
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lahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.com0tag:blogger.com,1999:blog-7316700808030502240.post-22023298439427679442011-09-06T18:39:00.000-07:002012-03-17T19:49:35.527-07:00Sensor Oksigen Oksida Zirkonium<div dir="ltr" style="text-align: left;" trbidi="on">
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" 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<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Jenis sensor ini kadang-kadang disebut sebagai sensor elektrokimia </span><span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">"suhu tinggi" </span><span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">dan didasarkan pada prinsip Nernst
[W. H. Nernst (1864-1941)]. Sensor oksida zirkonium menggunakan solid state
elektrolit biasanya dibuat dari oksida zirkonium oksida distabilkan dengan
itrium. Probe oksida zirkonium disebar pada sisi yang berlawanan dengan
platinum yang berfungsi sebagai sensor elektroda Untuk sensor oksida zirkonium beroperasi
dengan baik, itu harus dipanaskan sampai sekitar 650 derajat celsius. Pada suhu
ini, secara molekuler kisi zirkonium menjadi berpori yang memungkinkan
pergerakan ion oksigen dari konsentrasi tinggi oksigen ke yang lebih rendah
didasarkan pada tekanan parsial oksigen. </span><br />
<a name='more'></a><span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;"> </span></div>
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<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Untuk menciptakan perbedaan tekanan
parsial, satu elektroda biasanya terkena udara (20,9% oksigen) sedangkan
elektroda lainnya terkena gas sampel. Pergerakan ion oksigen di seluruh oksida
zirkonium menghasilkan tegangan antara dua elektroda, besarnya didasarkan pada
tekanan parsial oksigen diferensial yang diciptakan oleh gas referensi dan gas
sampel. Sensor oksigen oksida zirkonium menunjukkan karakteristik respon waktu
yang sangat baik. Kebajikan lain adalah bahwa sensor yang sama dapat digunakan
untuk mengukur oksigen 100%, serta bagian per miliar konsentrasi. Karena suhu operasi
yang tinggi, usia sensor dapat diperpendek dengan on / off operasi. Koefisien
ekspansi berhubungan dengan bahan konstruksi yang sedemikian rupa sehingga
pemanasan konstan dan pendinginan sering menyebabkan "kelelahan
sensor". Keterbatasan utama dari sensor oksigen oksida zirkonium yang
ketidaksesuaiannya untuk melacak pengukuran oksigen ketika mengurangi gas
(hidrokarbon dari setiap spesies, hidrogen, dan karbon monoksida) yang hadir
dalam gas sampel. Pada suhu operasi 650 derajat celsius, akan mengurangi
gas-gas yang bereaksi dengan oksigen, mengonsumsinya sebelum pengukuran
sehingga menghasilkan pembacaan oksigen lebih rendah dari yang sebenarnya.
Besarnya kesalahan sebanding dengan konsentrasi gasn yang dikurangi. Sensor
oksigen oksida zirkonium adalah "de facto standar" untuk aplikasi
in-situ pembakaran kontrol.</span></div>
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<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;"><br />
Jenis lain dari teknik pengukuran oksigen dalam pengembangan dan dalam beberapa
kasus digunakan untuk aplikasi khusus. Semua ini termasuk tetapi tidak terbatas
pada polarisasi luminescence, sensor opto-kimia, laser sensor gas, dkk. Karena
teknik ini lebih lanjut dikembangkan dan ditingkatkan, mungkin karena mewakili
alternatif yang layak untuk jenis utama sensor oksigen sedang digunakan.</span></div>
</div>lahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.com0tag:blogger.com,1999:blog-7316700808030502240.post-4983131953971620522011-09-02T06:10:00.000-07:002011-09-08T08:14:01.169-07:00Cara Membaca Kode Warna Resistor<div dir="ltr" style="text-align: left;" trbidi="on">
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<span style="font-size: small;"><b>Kode Warna Resistor </b></span></div>
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<span style="font-size: small;">Kode 4 garis yang digunakan untuk menandai resistor presisi rendah dengan 5%, 10% dan toleransi 20%. Mengidentifikasi nilai tersebut akan menjadi mudah dengan sedikit latihan, karena hanya ada beberapa aturan sederhana untuk diingat:</span></div>
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<span style="font-size: small;">Dua garis yang pertama mewakili digit yang paling signifikan dari nilai resistansi. Warna yang ditugaskan untuk semua nomor-nomor antara 0 dan 9, dan garis warna dasarnya menerjemahkan angka ke kode terlihat. Hitam adalah 0, coklat 1, merah 2 dan seterusnya (lihat tabel kode warna di bawah ini). Jadi, misalnya jika resistor memiliki coklat dan merah sebagai dua garis pertama, angka yang paling signifikan akan menjadi 1 dan 2 (12). </span></div>
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<span style="font-size: small;">Garis ketiga menunjukkan multiplier memberitahu kekuatan sepuluh dari dua digit signifikan yang harus dikalikan (atau berapa banyak nol untuk ditambahkan), menggunakan nilai yang diberikan sama untuk setiap warna seperti pada langkah sebelumnya. Sebagai contoh, jika garis ini merah (2), akan kalikan dengan 102 = 100 (atau tambahkan 2 nol). Jadi, untuk resistor kita gunakan dalam contoh sebelumnya, nilai akan menjadi: 12 x 100 = 1200Ω (1.2kΩ). </span></div>
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<span style="font-size: small;"><b>Catatan:</b> Jika garis multiplier adalah emas atau perak, titik desimal akan dipindahkan ke kiri oleh satu atau dua tempat (dibagi dengan 10 atau 100).</span></div>
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<span style="font-size: small;">Garis toleransi (deviasi dari nilai yang ditentukan) yang berikutnya, biasanya berjarak jauh dari yang lain, atau itu sedikit lebih lebar. Warna yang ditugaskan untuk toleransi masing-masing: 5% emas, perak adalah 10%. Resistor 20% hanya memiliki 3 garis warna berarti garis toleransi tidak ada. </span></div>
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<span style="font-size: small;"><b>Tabel kode warna standar resistor: </b></span><br />
<span style="font-size: small;"><img alt="" height="210" 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" width="400" /><b> </b></span><br />
<span style="font-size: small;"><i>* Digit 3 - hanya untuk resistor 5 garis </i></span><br />
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<span style="font-size: small;">Jadi, untuk 560 ohm 5% resistor garis-garis warna adalah menjadi hijau, biru, cokelat dan emas. Hijau dan biru adalah angka signifikan pertama (56), coklat adalah pengali (101 = 10) dan emas adalah toleransi (5%). 56 x 10 = 560Ω. </span></div>
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<span style="font-size: small;">Jika garis 3 adalah merah bukan coklat, pengali akan (102 = 100), bukan 10 dan nilai resistor akan 56 x 100 = 5600 ohm = 5,6 k ohm. </span></div>
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<span style="font-size: small;">Jika garis multiplier adalah emas atau perak, maka titik desimal akan dipindahkan ke satu atau dua tempat tersisa (dibagi dengan 10 atau 100). Sebagai contoh, sebuah resistor dengan hijau, biru, perak dan emas memiliki nilai 56 x 0,01 = 0.56Ω.</span></div>
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<span style="font-size: small;"><b>Kode 5 garis </b></span></div>
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<span style="font-size: small;">Kode 5 garis digunakan untuk menandai kualitas tinggi, resistor presisi dengan 2%, 1% atau toleransi lebih rendah. Aturan serupa dengan sistem sebelumnya, satu-satunya perbedaan adalah jumlah digit garis. Yang garis 3 pertama akan mewakili nilai, garis ke-4 itu multiplier dan garis 5 akan memberi kita toleransi. <b> </b></span><br />
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<span style="font-size: small;"><b>Garis opsional </b><br /> </span></div>
<span style="font-size: small;">Sebuah resistor memiliki beberapa garis tambahan yang menunjukkan kehandalan atau koefisien suhu, sering memberikan pemula sedikit masalah. </span><br />
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<span style="font-size: small;">Garis kehandalan menentukan tingkat kegagalan per 1000 jam (dengan asumsi bahwa watt yang penuh diterapkan ke resistor). Ini ditemukan terutama pada 4 garis resistor yang dibuat untuk aplikasi militer dan jarang digunakan dalam elektronik komersial. </span></div>
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<span style="font-size: small;">Koefisien suhu lebih umum ditandai, terutama pada kualitas 5 garis resistor, karena mulai menjadi faktor penting untuk komponen presisi. Untuk resistor dengan koefisien suhu dari 200 ppm, misalnya, perubahan dalam suhu 50 ° C menyebabkan perubahan nilai 1%. Nilai yang paling umum untuk garis ini disajikan dalam tabel warna di atas. </span></div>
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<span style="font-size: small;"><b>Contoh: </b></span></div>
<span style="font-size: small;"><b>Kode empat garis:</b> </span><br />
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<span style="font-size: small;">Hijau, biru, merah, dengan garis toleransi perak: 56 x 100 = 5,6 k ohms, dengan toleransi 10% </span><br />
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<span style="font-size: small;">Coklat, hitam, oranye, dengan garis toleransi emas: 10 x 1000 = 10000 ohm (atau 10K ohm), dengan toleransi 5% </span></div>
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<span style="font-size: small;">Merah, merah, coklat, dengan garis toleransi perak: 22 x 10 = 220 ohm (220 ohm), dengan toleransi 10% </span></div>
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<span style="font-size: small;">Garis lainnya 4 resistor dengan contoh kode warna: seri E12 dan E24. </span></div>
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<span style="font-size: small;"><b>Kode lima garis: </b></span></div>
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<span style="font-size: small;">Biru, coklat, putih, coklat, dengan garis toleransi merah: 619 x 10 = 6190 ohm (6.19K ohm), dengan toleransi 2% </span></div>
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<span style="font-size: small;">Merah, merah, coklat, hitam, dengan garis toleransi coklat: 221 x 1 = 221 ohm, dengan toleransi 1%</span></div>
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<span style="font-size: small;">Coklat, hitam, hitam, merah, dengan garis toleransi coklat: 100 x 100 = 10000 ohm (10.0K), dengan toleransi 1% </span></div>
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<span style="font-size: small;"><b>Standar EIA Nilai Dekade Resistor </b></span></div>
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<span style="font-size: small;">Resistor tersedia dalam nilai-nilai standar seperti 1K, 2.2K 4.7K, dan sebagainya. Kedua standar yang paling umum adalah E12 dan E24. Akan terlihat bahwa di seri E12 setiap nilai berhasil jatuh dalam + / - 10% dari nilai sebelumnya. Kisaran E24 mencakup semua nilai-nilai E12, ditambah 12 lebih lanjut untuk memungkinkan pemilihan resistensi yang lebih tepat. </span></div>
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<span style="font-size: small;">Jangkauan E6 (20%) adalah subset dari jangkauan E12 (10%) dan jangkauan E12 adalah bagian dari jangkauan E24 (5%). Demikian pula, jangkauan E48 (2%) adalah subset dari jangkauan E96 (1%) dan jangkauan E96 adalah subset dari jangkauan E192 (0,5% atau kurang). Catatan, bahwa jangkauan E24 secara teknis juga merupakan subset dari jangkauan E48, namun karena jumlah yang berbeda dari digit yang digunakan untuk representasi dan kesalahan pembulatan, nilai-nilai yang sesuai di dua seri tidak cocok. </span></div>
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<span style="font-size: small;">Seri E6: (toleransi 20%) – contohnya: </span></div>
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<span style="font-size: small;">10, 15, 22, 33, 47, 68 </span></div>
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<span style="font-size: small;">Seri E12: (toleransi 10%) – contohnya: </span></div>
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<span style="font-size: small;">10, 12, 15, 18, 22, 27, 33, 39, 47, 56, 68, 82 </span></div>
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<span style="font-size: small;">Seri E24: (toleransi 5%) – contohnya:
10, 11, 12, 13, 15, 16, 18, 20, 22, 24, 27, 30, 33, 36, 39, 43, 47, 51, 56, 62, 68, 75, 82, 91 </span></div>
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<span style="font-size: small;">Seri E48 : (toleransi 2%) – contohnya:
100, 105, 110, 115, 121, 127, 133, 140, 147, 154, 162, 169, 178, 187, 196, 205, 215, 226, 237, 249, 261, 274, 287, 301, 316, 332, 348, 365, 383, 402, 422, 442, 464, 487, 511, 536, 562, 590, 619, 649, 681, 715, 750, 787, 825, 866, 909, 953 </span></div>
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<span style="font-size: small;">Seri E96: (toleransi 1%) – contohnya:
100, 102, 105, 107, 110, 113, 115, 118, 121, 124, 127, 130, 133, 137, 140, 143, 147, 150, 154, 158, 162, 165, 169, 174, 178, 182, 187, 191, 196, 200, 205, 210, 215, 221, 226, 232, 237, 243, 249, 255, 261, 267, 274, 280, 287, 294, 301, 309, 316, 324, 332, 340, 348, 357, 365, 374, 383, 392, 402, 412, 422, 432, 442, 453, 464, 475, 487, 491, 511, 523, 536, 549, 562, 576, 590, 604, 619, 634, 649, 665, 681, 698, 715, 732, 750, 768, 787, 806, 825, 845, 866, 887, 909, 931, 959, 976 </span></div>
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<span style="font-size: small;"><b>Akhir pikiran </b></span></div>
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<span style="font-size: small;">Jadi, mengapa semua masalah ini ada pada kode warna? Nilai resistansi bisa dicap atau dicat pada tubuh resistor melalui lubang, tidak? Ya, namun angka-angka akan sangat kecil dan sulit untuk dibaca. Juga, tanda-tanda akan dengan mudah meluntur atau terkikis oleh waktu. </span></div>
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<span style="font-size: small;">Resistor yang kurang jelas ditandai akan membingungkan untuk pemula, tapi misalnya jika seperti sebuah resistor dipasang dengan sisi ditandai dibagian bawah, maka tidak akan dapat membaca nilainya kecuali jika membawanya keluar dari sirkuit. </span></div>
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<span style="font-size: small;">Kode warna resistor mungkin tampak agak membingungkan dan agak tidak nyaman pada awalnya, tapi kebanyakan penggemar elektronik dan teknisi yang terkejut ketika mereka menyadari betapa cepat mereka sudah hafal bagiann warna tanpa menggunakan mnemonik atau cara pintas konyol lainnya. </span></div>
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<span style="font-size: small;">Kode warna cukup intuitif, dan setelah periode pengenalan singkat, ini cukup mudah digunakan, itu akanmenjadi hampir kodrat kedua.
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lahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.com1tag:blogger.com,1999:blog-7316700808030502240.post-83950635782948223512011-08-30T05:26:00.000-07:002011-09-05T18:13:57.390-07:00Sistem Kendali<div dir="ltr" style="text-align: left;" trbidi="on">
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<span style="font-size: small;">Pada saat terjadi proses produksi dalam suatu industri maka pengamatan dan pengendalian proses dilakukan secara terus menerus setiap saat. Dengan demikian produk yang dibuat dijaga kondisinya sesuai dengan yang dikehendaki. Sistem kontrol diberi pengertian sebagai susunan elemen yang dihubungkan sedemikian rupa sehingga dapat untuk memberikan perintah, mengarahkan dan mengatur dirinya sendiri maupun sistem lain untuk mencapai tujuan tertentu. Sedangkan pengendali bertugas untuk membandingkan pengubah proses dari transmitter di set point dan mengirimkannya ke elemen kontrol akhir. Untuk melakukan proses pengontrolan harus ditentukan terlebih dahulu konfigurasi kontrol yang digunakan. Sehingga struktur kontrol dapat diartikan sebagai struktur informasi yang dipakai untuk menghubungkan besaran-besaran output yang terukur ke besaran input. Ada dua jenis struktur yaitu jenis kontrol dengan struktur loop terbuka dan loop tertutup.</span></div>
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<span style="font-size: small;"><b>1. Kontrol Loop Terbuka</b></span><br />
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<span style="font-size: small;">Pada sistem kontrol dengan loop terbuka, keluaran dari pengatur tidak berpengaruh pada hasil kontrol. Atau dengan kata lain output pengatur tidak dipakai sebagai umpan maju atau umpan balik. Output kontrol ini didasarkan pada suatu perhitungan sehingga memberikan hasil akhir seperti yang dikehendaki.</span></div>
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<span style="font-size: small;"><img alt="" src="data:image/png;base64,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" /></span><br />
<span style="font-size: small;"> Gambar Struktur Kontrol Loop Terbuka</span><br />
<span style="font-size: small;"><br /></span><br />
<span style="font-size: small;">Dengan :</span><br />
<span style="font-size: small;"><br /></span><br />
<span style="font-size: small;">V = set point m = variabel termanipulasi</span><br />
<span style="font-size: small;"><br /></span><br />
<span style="font-size: small;">G1 = unsur kontrol c = variabel terkontrol</span><br />
<span style="font-size: small;"><br /></span><br />
<span style="font-size: small;">G2 = unsur proses</span><br />
<span style="font-size: small;"><b><br />
</b></span><br />
<span style="font-size: small;"><b>2. Kontrol Loop Tertutup</b></span><br />
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pada kontrol dengan struktur loop tertutup, output kontrol pross digunakan untuk mempengaruhi aksi input proses, sehingga output yang terjadi sesuai dengan yang dikehendaki. Berdasarkan pada jenis aksi yang dikenakan maka struktur kontrol dengan loop tertutup diklasifikasikan menjadi dua bagian yaitu: kontrol loop tertutup umpan balik dam kontrol loop tertutup umpan maju.</span></div>
<span style="font-size: small;"><b><br />
</b></span><br />
<span style="font-size: small;"><b>a. Kontrol Loop Tertutup Umpan Balik</b></span><br />
<span style="font-size: small;"><br /></span><br />
<div style="text-align: justify;">
<span style="font-size: small;">Struktur ini memanfaatkan variabel-variabel keluaran yang terukur untuk mengatur harga variabel-variabel input kontrol. Tujuanya adalah agar variabel keluaran yang dikontrol mempunyai harga yang sesuai dengan harga yang diinginkan yang biasa diebut dengan set point. Struktur ini mempunyai kelebihan berupa adanya tahap koreksi akibat digunakannya umpan balik.</span></div>
<span style="font-size: small;"><br /></span><br />
<span style="font-size: small;"><img alt="" src="data:image/png;base64,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" /></span><br />
<span style="font-size: small;"><br /></span><br />
<span style="font-size: small;"> Gambar Struktur Loop Tertutup Umpan Balik</span><br />
<span style="font-size: small;"><br /></span><br />
<span style="font-size: small;">Keterangan :</span><br />
<span style="font-size: small;"><br /></span><br />
<span style="font-size: small;">V = set point G1 = unsur pengatur</span><br />
<span style="font-size: small;"><br /></span><br />
<span style="font-size: small;">E = sinyal aktuasi G2 = unsur proses</span><br />
<span style="font-size: small;"><br /></span><br />
<span style="font-size: small;">M = variabel termanipulasi h = variabel feed back</span><br />
<span style="font-size: small;"><br /></span><br />
<div style="text-align: justify;">
<span style="font-size: small;">Variabel yang diumpan balik merupakan besaran keluaran yang terukur pada lintasan umpan balik. Variabel umpan balik ini kemudian dibandingkan terhadap sinyal kesalahan yang ada. Sebuah pengontrolan atau kompensator dalam suatu sistem kontrol berfungsi untuk menghasilkan sinyal kesalahan tersebut.</span></div>
<span style="font-size: small;"><b><br />
</b></span><br />
<span style="font-size: small;"><b>b. Kontrol Loop Tertutup Umpan Maju</b></span><br />
<span style="font-size: small;"><br /></span><br />
<div style="text-align: justify;">
<span style="font-size: small;">Struktur ini memanfaatkan variabel-variabel disturbance untuk mengatur harga variabel-variabel input kontrol. Sistem ini memperhitungkan efek disturbance secara antisipatif. Akan tetapi kelemahannya adalah tidak adanya lintasan umpan balik untuk melakukan koreksi terhadap hasil aksi pengontrolan. Gambar di bawah menunjukkan struktur umum sistem kontrol loop tertutup umpan maju.</span></div>
<span style="font-size: small;"><br /></span><br />
<span style="font-size: small;"><img alt="" src="data:image/png;base64,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" /> </span><br />
<span style="font-size: small;"><br /></span><br />
<span style="font-size: small;"> Gambar Diagram Loop Tertutup Umpan Maju</span></div>
lahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.com0tag:blogger.com,1999:blog-7316700808030502240.post-44584114179018046032011-08-30T04:21:00.000-07:002011-09-05T18:14:11.096-07:00Konfigurasi Kontrol<div dir="ltr" style="text-align: left;" trbidi="on">
<span lang="EN-US" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 115%;">Selain menggunkan jenis loop tertutup </span><span lang="EN-US" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">juga menggunakan konfigurasi kontrol yang lain. Diantaranya adalah jenis <i>single dan cascade.</i></span><br />
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<a name='more'></a><b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">1.<span style="font-family: "Times New Roman";"> </span></span></b><b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Single Control</span></b><br />
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<span lang="EN-US" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"> Adalah loop instrumen yang terdiri dari satu <i>transmitter, </i>satu <i>kontroller</i>, dan sebuah <i>final control element</i>. Tujuanya adalah untuk mendapatkan stabilitas dari output proses yang dikontrol.</span></div>
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<span lang="EN-US" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Contohnya pada vessel seperti yang digambarkan di bawah ini :</span></div>
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" 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<b><span lang="EN-US" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"> Gambar <i>Single Loop Control</i></span></b></div>
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<span lang="EN-US" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"> Pengukuran <i>level </i>dilakukan oleh <i>level transmitter (</i>LT), selanjutnya output LT dikirim ke <i>level indicator control </i>(LIC) sebagai <i>measured variabel.</i> Harga <i>level</i> yang dikehendaki dinyatakan sebagai <i>set point</i> pada kontroler LIC. Dari perbandingan kedua harga tersebut, LIC mengeluarkan sinyal output untuk mengatur bukaan <i>control valve</i> sehingga didapatkan <i>level </i>yang diinginkan.</span></div>
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<b><span lang="EN-US" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">2.<span style="font-family: "Times New Roman";"> </span></span></b><b><span lang="EN-US" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Cascade Control</span></b></div>
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<b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"> C</span></b><span lang="EN-US" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">onfigurasi <i>cascade</i> mempunyai dua buah loop, yaitu <i style="mso-bidi-font-style: normal;">loop primer</i> dan <i style="mso-bidi-font-style: normal;">loop sekunder</i>. Dalam kontrol ini ada satu variabel yang dimanipulasi dengan dua buah variabel yang diukur. Dalam kilang, konfigurasi ini lebih dikenal dengan sistem <i>master </i>dan <i>slave</i>.</span></div>
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<span lang="EN-US" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"> Sebagai contoh adalah kontrol laju aliran yang sering menjadi kontroler sekunder bagi kontroler yang lainnya. </span><span lang="NO-BOK" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Loop primernya seperti temperatur, level, ataupun tekanan. Penerapan di kilang adalah bagian <i>boiler</i>, kolom distilasi, <i>heat exchanger</i>.</span></div>
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<span lang="IT" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Di bawah ini contoh gambar untuk <i>loop cascade</i>.</span></div>
<div align="center" class="MsoListParagraphCxSpLast" style="line-height: 150%; margin-left: 7.1pt; mso-add-space: auto; tab-stops: 42.55pt; text-align: center; text-indent: 28.9pt;">
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" 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<b><span lang="EN-US" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"> Gambar <i>Cascade Control</i></span></b></div>
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<i><span lang="EN-US" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Flow indicator control </span></i><span lang="EN-US" style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">(FIC) diletakkan pada <i>feed steam, </i>sehingga flow steam dipertahankan pada harga yang dikehendaki meskipun terjadi fluktuasi pada <i>pressure steam supply </i>nya. Pada <i style="mso-bidi-font-style: normal;">line-product outlet </i>dipasang <i>temperatur indicator control </i>(TIC) yang <i>cascade </i>dengan <i>flow controller</i>. Sehingga apabila terjadi fluktuasi dari <i>rate feed</i>, maka <i>temperatur product outlet </i>tetap dipertahankan pada harga yang dikehendaki dengan mengatur secara otomatis bukaan pada <i>control valve</i> dari <i>flow steam</i>.</span></div>
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lahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.com0tag:blogger.com,1999:blog-7316700808030502240.post-51735305415820060052011-08-28T17:59:00.000-07:002011-09-05T18:14:29.374-07:00Elemen-Elemen Sistem Kontrol Proses<div dir="ltr" style="text-align: left;" trbidi="on">
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Elemen-elemen dalam suatu sistem kontrol proses dapat dibedakan menjadi : proses, sensor (<i>sensing element</i>), <i>transducers, transmitter, transmission lines</i>, kontroler, <i>final control element </i>(<i>control valve</i>)<i>. </i>Seluruh elemen ini bersama-sama membentuk suatu sistem kontrol, seperti diperlihatkan pada contoh sistem kontrol proses pada Gambar </span><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">contoh sederhana dari sebuah sistem kontrol proses.</span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Sistem ini terdiri dari sebuah tanki, sebuah <i>level measuring device</i>, sebuah kontroler, dan sebuah <i>control valve</i>. Aliran <i>liquid </i>dialirkan melalui permukaan atas tanki, kemudian dikeluarkan dari bawah tanki yang diatur oleh <i>control valve</i>.</span></div>
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" /><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"> </span> </div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Gambar contoh sederhana dari sebuah sistem kontrol proses</span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Tangki beserta <i>liquid </i>di dalamnya merupakan sebuah <b>proses. </b><i>Level measuring device </i>sebagai sebuah <b>sensor </b>ketinggian sekaligus <b>transducer</b>, akan mengukur ketinggian cairan tersebut serta mengubahnya menjadi besaran elektrik atau<i> </i>pneumatik. Jika level cairan dalam tanki melebihi tinggi yang diinginkan (<i>set point</i>) maka <b>controller </b>akan memutuskan untuk memperbesar aliran outlet. Berdasarkan<i> </i>perintah controller, <b>final control element </b>(<i>control valve</i>) akan membuka (<i>opening</i>)<i> </i>untuk memperbesar aliran. Secara blok diagram sistem control proses tersebut di<i> </i>atas dapat dilihat pada gambar dibawah ini.</span></div>
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" 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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Gambar Blok Diagram Sistem Kontrol Proses</span></div>
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<b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">a. Proses</span></b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"></span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Proses adalah peralatan (<i>equipment</i>) bersama-sama dengan reaksi fisis ataupun kimia yang terjadi di dalamnya.</span></div>
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<b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">b. Sensor (Sensing Element)</span></b></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Instrumen-instrumen pengukur (sensor) adalah instrumen-instrumen yang digunakan untuk pengukuran (<i>measurement</i>). Variabel-variabel yang diukur adalah <i>Process Variables </i>(<i>PV</i>). Instrumen ini juga digunakan untuk memperoleh informasi tentang apa yang sedang terjadi di dalam suatu proses.</span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Dalam suatu sistem kontrol dapat dijumpai berbagai macam sensor yang berbeda dalam fungsinya. Sensor-sensor yang digunakan akan berbada tergantung dari <i>process variable </i>yang akan diukur. Jenis-jenis sensor tersebut adalah sebagai berikut: Pressure Sensor, Temperature Sensor, Flow Sensor, Liquid Level Sensor dan Composition Sensor.</span></div>
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<b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">c. Transducers / Transmitter</span></b></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Beberapa sinyal pengukuran tidak dapat digunakan untuk aktuasi pengontrolan sebelum dikonversi ke dalam besaran-besaran fisis tertentu (sinyal elektrik atau sinyal pneumatik). Setelah dikonversi ke dalam sinyal elektrik atau pneumatik, sinyal hasil pengukuran tersebut dapat ditransmisikan dengan mudah dan juga dapat dimengerti oleh kontroller.</span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Konversi ini dilakukan oleh suatu elemen yang disebut <i>transducers / transmitter</i>. Sebagai contoh, <i>strain gauges </i>dapat mengubah sinyal <i>pressure </i>menjadi sinyal elektrik.</span></div>
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<b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">d. Transmission Lines</span></b></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Saluran transmisi (<i>transmission lines</i>) membawa sinyal hasil pengukuran oleh sensor dan telah diubah oleh <i>transducer/transmitter </i>ke kontroler atau dari kontroler ke <i>final control element</i>.</span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Saluran transmisi dapat berupa sinyal pneumatik (udara yang terkompresi). Namun, seiring dengan berkembangnya kontroler elektronik analog dan khususnya kontroler digital, saat ini kebanyakan menggunakan sinyal elektrik sebagai saluran transmisinya. Sesuai dengan standard <i>ISA (Instrument Society of America), </i>besarnya sinyal transmisi tersebut adalah :</span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">·<span style="font: 7pt "Times New Roman";"> </span></span><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Sinyal Pneumatik : 3 – 15 psig (0.2 – 1 kg/cm2)</span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">·<span style="font: 7pt "Times New Roman";"> </span></span><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Sinyal Elektrik : 4 – 20 mA.</span></div>
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<i><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"> psig = pounds per square inchies (gauge)</span></i></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">tujuan dari standardisasi tersebut adalah untuk kemudahan pengguna dalam memilih instrumen, juga kemudahan dalam perancangan, kalibrasi, dan pemeliharaan.</span></div>
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<b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">e. Controller</span></b></div>
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<i><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Controller </span></i><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">memperoleh informasi dari <i>measuring device </i>yaitu sinyal <i>Process Variable (PV), </i>membandingkan dengan S<i>et Point </i>(<i>SP</i>), menghitung banyaknya<i> </i>koreksi yang diperlukan sesuai dengan algoritmanya (P, PI, dan PID), dan kemudian memutuskan atau mengeluarkan sinyal koreksi (<i>Manipulated</i> <i>Variable / MV</i>) untuk ditransmisikan ke <i>Control Valve.</i></span></div>
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<i><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Controller </span></i><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">dapat berupa <i>controller </i>mekanik (<i>pneumatic</i>), <i>controller </i>elektronik atau <i>controller </i>digital yang terkomputerisasi dengan kemampuan dapat melaksanakan tugas-tugas kontrol yang cukup rumit.</span></div>
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<b><span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">f. Final Control Element (Control Valve)</span></b></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Salah satu elemen pengendali akhir yang sering dijumpai adalah <i>control valve</i>. Elemen ini mengimplementasikan keputusan yang diambil oleh kontroler. Misalnya, apabila kontroler “memutuskan” untuk menaikkan laju aliaran (<i>flow</i> <i>rate</i>) suatu fluida, maka <i>control valve </i>akan membuka atau menutup untuk mengimplementasikannya.</span></div>
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lahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.com0tag:blogger.com,1999:blog-7316700808030502240.post-8083218952320827192011-08-28T17:50:00.000-07:002011-09-05T18:14:49.344-07:00Sistem Kontrol Proses<div dir="ltr" style="text-align: left;" trbidi="on">
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Suatu industri kilang minyak <i>(refinery) </i>atau petrokimia <i>(petrochemical) </i>merupakan suatu susunan beberapa unit peralatan proses (reaktor, penukar panas, pompa, kolom destilasi, absorber, evaporator, tanki, dan sebagainya), yang saling terpadu dan bekerja secara sistematik. Secara keseluruhan, suatu pabrik memiliki tujuan utama mengubah beberapa material mentah menjadi produk tertentu dengan menggunakan sumber-sumber energi tertentu dengan cara yang paling ekonomis.</span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Di dalam pengoperasiannya, suatu industri proses harus memenuhi beberapa persyaratan berdasarkan pertimbangan berbagai macam kondisi dalam dinamika pengaruh eksternal (<i>disturbances</i>). Persyaratan-persyaratan tersebut diantaranya adalah masalah keamanan (<i>safety</i>), spesifikasi produksi, pengaruh terhadap lingkungan, batasan operasi (<i>operational constraints</i>), serta masalah ekonomi.</span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Untuk menjamin semua persyaratan tersebut dapat dipenuhi, maka industri proses perlu memiliki suatu sistem yang dapat memonitor dan mengendalikan semua proses yang ada di dalamnya supaya tujuannya dapat terpenuhi. Hal ini dapat dilakukan melalui suatu susunan peralatan instrumen (alat pengukur, kontroler, komputer, dan <i>control valve</i>) serta campur tangan manusia (operator) yang bersama-sama membentuk sesuatu yang dinamakan sistem kontrol.</span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Pada semua proses umumnya operator tidak hanya ingin mengetahui suatu harga besaran fisik, tetapi juga selalu ingin mengaturnya pada suatu harga tertentu agar suatu proses bekerja secara optimum. Blok diagram suatu sistem instrumentasi dan pengontrolan besaran yang diukur yang terhubung secara lingkar tertutp <i>(closes</i> <i>loop) </i>dapat digambarkan seperti di bawah ini.</span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;"> </span><img alt="" 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" 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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Gambar Sistem Instrumentasi dan Pengontrolan</span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">Sistem instrumentasi dengan pengontrolan lingkar tertutup adalah sistem yang sinyal keluarannya berpengaruh secara langsung pada aksi kontrolnya. Sinyal penggerak yang merupakan selisih antar sinyal masukan dan sinyal umpan balik diberikan ke controller untuk memperkecil kesalahan dan membuat agar keluaran sistem mendekati harga yang diinginkan. Tujuan diadakannya suatu sistem kontrol adalah sebagai berikut :</span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">a. Menekan pengaruh dari gangguan eksternal (<i>external disturbances</i>)</span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">b. Menjamin stabilitas proses</span></div>
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<span style="font-family: "Times New Roman","serif"; font-size: 12pt; line-height: 150%;">c. Mengoptimumkan performansi proses.</span></div>
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lahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.com0tag:blogger.com,1999:blog-7316700808030502240.post-31356687800554071312011-05-25T19:24:00.001-07:002012-03-17T19:50:00.241-07:00Duty Cycle<div dir="ltr" style="text-align: left;" trbidi="on">
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<span class="" id="result_box" lang="id" style="font-size: small;"><span class="hps" title="Klik untuk terjemahan alternatif">Duty cycle</span> <span class="hps" title="Klik untuk terjemahan alternatif">adalah</span> <span class="hps" title="Klik untuk terjemahan alternatif">proporsi</span> <span class="hps" title="Klik untuk terjemahan alternatif">waktu</span> <span class="hps" title="Klik untuk terjemahan alternatif">dimana</span> <span class="hps" title="Klik untuk terjemahan alternatif">komponen</span><span class="" title="Klik untuk terjemahan alternatif">,</span> <span class="hps" title="Klik untuk terjemahan alternatif">perangkat</span><span class="" title="Klik untuk terjemahan alternatif">,</span> <span class="hps" title="Klik untuk terjemahan alternatif">atau</span> <span class="hps" title="Klik untuk terjemahan alternatif">sistem</span> <span class="hps" title="Klik untuk terjemahan alternatif">dioperasikan</span><span class="" title="Klik untuk terjemahan alternatif">.</span> <span class="hps" title="Klik untuk terjemahan alternatif">Siklus</span> <span class="hps" title="Klik untuk terjemahan alternatif">tugas</span> <span class="hps" title="Klik untuk terjemahan alternatif">dapat dinyatakan</span> <span class="hps" title="Klik untuk terjemahan alternatif">sebagai</span> <span class="hps" title="Klik untuk terjemahan alternatif">rasio</span> <span class="hps" title="Klik untuk terjemahan alternatif">atau</span> <span class="hps" title="Klik untuk terjemahan alternatif">persentase</span><span class="" title="Klik untuk terjemahan alternatif">.</span> <span class="hps" title="Klik untuk terjemahan alternatif">Misalkan</span> <span class="hps" title="Klik untuk terjemahan alternatif">drive</span> <span class="hps" title="Klik untuk terjemahan alternatif">disk</span> <span class="hps" title="Klik untuk terjemahan alternatif">beroperasi</span> <span class="hps" title="Klik untuk terjemahan alternatif">selama 1</span> <span class="hps" title="Klik untuk terjemahan alternatif">detik</span><span class="" title="Klik untuk terjemahan alternatif">,</span> <span class="hps" title="Klik untuk terjemahan alternatif">kemudian</span> <span class="hps" title="Klik untuk terjemahan alternatif">dimatikan</span> <span class="hps" title="Klik untuk terjemahan alternatif">untuk</span> <span class="hps" title="Klik untuk terjemahan alternatif">99</span> <span class="hps" title="Klik untuk terjemahan alternatif">detik</span><span class="" title="Klik untuk terjemahan alternatif">,</span> <span class="hps" title="Klik untuk terjemahan alternatif">kemudian</span> <span class="hps" title="Klik untuk terjemahan alternatif">dijalankan</span> <span class="hps" title="Klik untuk terjemahan alternatif">selama 1</span> <span class="hps" title="Klik untuk terjemahan alternatif">detik</span> <span class="hps" title="Klik untuk terjemahan alternatif">lagi</span><span class="" title="Klik untuk terjemahan alternatif">,</span> <span class="hps" title="Klik untuk terjemahan alternatif">dan seterusnya</span><span class="" title="Klik untuk terjemahan alternatif">.</span> <span class="hps" title="Klik untuk terjemahan alternatif">Drive</span> <span class="hps" title="Klik untuk terjemahan alternatif">berlangsung selama</span> <span class="hps" title="Klik untuk terjemahan alternatif">satu dari</span> <span class="hps" title="Klik untuk terjemahan alternatif">100</span> <span class="hps" title="Klik untuk terjemahan alternatif">detik</span> <span class="hps" title="Klik untuk terjemahan alternatif">atau</span> <span class="hps" title="Klik untuk terjemahan alternatif">1 / 100</span> <span class="hps" title="Klik untuk terjemahan alternatif">dari waktu</span><span class="" title="Klik untuk terjemahan alternatif">,</span> <span class="hps" title="Klik untuk terjemahan alternatif">dan</span> <span class="hps" title="Klik untuk terjemahan alternatif">siklus</span> <span class="hps" title="Klik untuk terjemahan alternatif">tugasnya</span> <span class="hps" title="Klik untuk terjemahan alternatif">1 / 100</span> <span class="hps" title="Klik untuk terjemahan alternatif">atau</span> <span class="hps" title="Klik untuk terjemahan alternatif">1</span> <span class="hps" title="Klik untuk terjemahan alternatif">persen</span><span class="" title="Klik untuk terjemahan alternatif">.</span></span></div>
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<span style="font-size: small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg9Y5XQaA7eiOHAtUq9wKLDUiqMypTO92bmI0777iKGTYzvHpJmWDHHlDsYOCgBo7DwtR7YcWOu9Cg4l0uiswUNIRnsoGQv-hG2ZMQyllXLaNwGPLiGOUascORrPwG71wQBjqxd72dA4WE/s1600/PWM_duty_cycle_with_label.gif" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg9Y5XQaA7eiOHAtUq9wKLDUiqMypTO92bmI0777iKGTYzvHpJmWDHHlDsYOCgBo7DwtR7YcWOu9Cg4l0uiswUNIRnsoGQv-hG2ZMQyllXLaNwGPLiGOUascORrPwG71wQBjqxd72dA4WE/s1600/PWM_duty_cycle_with_label.gif" /></a></span></div>
<span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">Semakin banyak</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">sirkuit</span><span class="" style="font-size: small;" title="Klik untuk terjemahan alternatif">,</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">mesin</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">atau</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">komponen</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">yang</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">digunakan</span><span class="" style="font-size: small;" title="Klik untuk terjemahan alternatif">,</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">semakin cepat</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">akan</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">aus</span><span class="" style="font-size: small;" title="Klik untuk terjemahan alternatif">.</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">Oleh karena itu</span><span class="" style="font-size: small;" title="Klik untuk terjemahan alternatif">, semakin tinggi</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">siklus</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">tugas</span><span class="" style="font-size: small;" title="Klik untuk terjemahan alternatif">,</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">semakin pendek</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">masa manfaat</span><span class="" style="font-size: small;" title="Klik untuk terjemahan alternatif">,</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">semua</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">hal lain dianggap sama</span><span class="" style="font-size: small;" title="Klik untuk terjemahan alternatif">.</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">Jika</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">disk drive</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">yang disebutkan di atas</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">memiliki</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">harapan hidup</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">1.000.000</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">jam</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">didasarkan</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">pada</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">siklus</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">tugas</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">1</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">persen</span><span class="" style="font-size: small;" title="Klik untuk terjemahan alternatif">,</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">bahwa</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">harapan</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">perangkat yang</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">sama</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">mungkin</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">akan menjadi</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">sekitar</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">500.000</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">jam</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">berdasarkan</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">siklus</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">tugas</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">2</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">persen</span><span class="" style="font-size: small;" title="Klik untuk terjemahan alternatif">,</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">dan</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">2.000.000</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">jam</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">berdasarkan</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">siklus</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">tugas</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">0,5</span><span style="font-size: small;"> </span><span class="hps" style="font-size: small;" title="Klik untuk terjemahan alternatif">persen</span><span class="" style="font-size: small;" title="Klik untuk terjemahan alternatif">.</span></div>lahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.com3tag:blogger.com,1999:blog-7316700808030502240.post-31818171695811613992011-04-30T20:38:00.001-07:002011-09-05T18:15:46.361-07:00Light Meter<div dir="ltr" style="text-align: left;" trbidi="on">
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<span style="font-size: small;">Sebuah light meter adalah alat yang digunakan untuk mengukur jumlah cahaya. Dalam fotografi, pengukur cahaya yang sering digunakan untuk menentukan eksposur yang tepat untuk foto. Biasanya meter cahaya akan mencakup sebuah komputer, baik digital atau analog, yang memungkinkan fotografer untuk menentukan kecepatan rana dan f-number harus dipilih untuk eksposur optimal, mengingat situasi pencahayaan tertentu dan kecepatan film. </span></div>
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<span style="font-size: small;">Light meter juga digunakan di bidang sinematografi dan desain pemandangan, dalam rangka untuk menentukan tingkat cahaya yang optimal untuk sebuah adegan. Mereka digunakan dalam bidang penerangan umum, di mana mereka dapat membantu untuk mengurangi pemborosan jumlah cahaya yang digunakan di rumah, polusi udara di luar ruangan, dan pada tanaman yang tumbuh untuk memastikan tingkat cahaya yang tepat.</span><br />
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<span style="font-size: small;">Pada umumnya alat ini digunakan untuk kepentingan pencahayaan agar cahaya yang di dapatkan bisa optimum sesuai dengan kebutuhan kualitas aplikasi. </span><br />
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<span style="font-size: small;">Kalau kita perhatikan kebanyakan alat ini digunakan oleh terapan ilmu photography mungkin karena memang basic pencahayaan adalah yang Utama dalam ilmu photography. Namun </span><span style="font-size: small;">light meter juga bisa di aplikasikan dalam bidang lain seperti penggunaan untuk kepeluan pergudangan, restaurant, rumah sakit ruangan galeri, sekolah, perpustakaan dan lain sebagainya.</span></div>
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<span style="font-size: small;">Bagaimana Menggunakan Light meter?</span></h2>
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<span style="font-size: small;">Pada contoh kasus bagaimana mengukur intensitas cahaya ini akan kita ambil pada studi kasus photography</span></div>
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<span style="font-size: small;">Seperti kita tahu sebelumnya bahwa light meter adalah alat yang dipakai untuk mengukur jumlah cahaya yang masuk. dengan membandingkan dengan ASA, aperture dan shutter speed yang digunakan, maka <b style="font-weight: normal;">Light Meter</b> dapat menentukan cahaya yang masuk, sudah “pas”, “under” (kurang) atau “over” (lebih). </span></div>
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<span style="font-size: small;">tiap kamera memiliki cara penunjukan light meter yang berbeda-beda. akan tetapi dapat dikatagorikan pada 3 golongan.</span></div>
<span style="font-size: small;">1. + O -</span><br />
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<span style="font-size: small;">ini adalah cara yang paling umum menunjukan cahaya yang masuk. “+” menunjukan jumlah cahaya yang masuk terlalu banyak (over), “O” menunjukan jumlah cahaya yang masuk sudah pas, “-” menunjukan jumlah cahaya yang masuk kurang (under). untuk beberapa kamera, tanda “+” diganti dengan segitiga ke atas, dan tanda “-” diganti dengan segitiga ke bawah.</span></div>
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<span style="font-size: small;">2. (-2)–(-1)–O–(+1)–(+2)</span><br />
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<span style="font-size: small;">untuk kamera2 yang keluar akhir2 ini, cara penunjukan ini yang dipilih. di bawah skala ini, ada titik (dot) yang bergerak2 sesuai dengan arah over atau under. (+1) dan (+2) menunjukan bahwa cahaya yang masuk over 1 stop dan 2 stop. sebaliknya, (-1) menunjukan bahwa cahaya yang masuk under 1 stop. “-” (strip) menunjukan lompatan 1/3 stop.</span></div>
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<span style="font-size: small;">3. penunjukan speed (atau aperture) yang sebaiknya digunakan.</span><br />
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<span style="font-size: small;">untuk beberapa kamera, ada yang cara penunjukan light meternya dengan cara seperti dia atas. begitu light meter diaktifkan, akan ada lampu (atau jarum) yang menunjukan speed (atau aperture… tergantung dari tipe kamera) yang sebaiknya digunakan. apabila speed kita lebih cepat daripada speed yang direkomendasikan, maka hasilnya akan under. sebaliknya, kalo speed kita lebih lambat dari pada speed yang direkomendasikan, maka hasilnya akan over.</span></div>
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<span style="font-size: small;">Dalam proses pencarian cahaya yang pas (eksposure tepat), kita harus tahu efek yang ingin kita ambil. misalkan kita ingin memotret mobil yang sedang bergerak. kita ingin membekukan mobil tersebut. maka, speed kita patok di 500. baru setelah itu kita mencari aperture yang pas dengan setting speed 500 tersebut. Pada banyak kamera modern, proses ini dapat dihitung secara otomatis oleh prosesor kamera dengan memilih mode “Speed Priority” atau biasanya memakai simbol “S”. </span></div>
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<span style="font-size: small;">Sebaliknya, misalkan kita ingin membuat potrait orang, yang mana foreground dan background blur, maka kita perlu mematok aperture pada f/ 3.5. setelah itu, baru kita mencari speed yang dibutuhkan dengan setting aperture f/3.5 tersebut. Pada banyak kamera modern, proses ini dapat dihitung secara otomatis oleh prosesor kamera dengan memilih mode “Aperture Priority” atau biasanya memakai simbol “A”.</span></div>
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<span style="font-size: small;">Dari studi kasus diatas mudah-mudahan dapat menjadi ilmu pengetahuan.</span></div>
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<span style="font-family: andale mono,times; font-size: small;">Sumber studi kasus : http://deasy86.blogdetik.com/index.php/2011/04/metering-in-digital-photography/</span></div>
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lahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.com1tag:blogger.com,1999:blog-7316700808030502240.post-31974562893810405042011-04-24T09:04:00.000-07:002012-03-17T19:50:15.825-07:00LCR Meter<div dir="ltr" style="text-align: left;" trbidi="on">
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<span style="font-size: small;">Sebuah LCR meter adalah alat yang digunakan untuk menguji impedansi listrik sebuah peralatan. Dalam operasi, ia mampu mengidentifikasi pengukuran resistansi objek untuk arus listrik stabil. Hal ini sangat berguna ketika berhadapan dengan alternating current (AC). Ini akan menentukan perubahan relatif dalam besarnya variasi berulang dari tegangan dan arus yang dikenal sebagai amplitudo.</span></div>
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<span style="font-size: small;">Induktansi adalah salah satu sifat utama yang LCR meter akan menguji. Induktansi adalah perubahan pada aliran arus melalui rangkaian dan beberapa perangkat seperti resistor mencegah perubahan itu. Ini disebut gaya gerak listrik. Karena arus listrik menghasilkan medan magnet yang mengurangi tingkat perubahan pada saat ini, LCR akan mengukur rasio fluks magnet.</span></div>
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<span style="font-size: small;">Sebuah LCR juga akan mengukur kemampuan objek untuk terus memegang muatan listrik. Ini dikenal sebagai capacitance. Meter dapat menguji jumlah biaya yang disimpan pada suatu titik tertentu yang dikenal sebagai potensi listrik. Biasanya diukur dalam volt, ini menunjukkan muatan statis yang tepat dalam bidang listrik objek.</span></div>
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<span style="font-size: small;">Ketika mengukur resistansi listrik yang ketat, LCR meter akan membantu mengidentifikasi oposisi yang tepat dari saat ini. Sebuah komponen yang berisi lebar seragam akan memiliki daya tahan sebanding dengan panjangnya. Hal ini membantu dalam menentukan desain yang benar dari elemen yang terlibat dengan sirkuit.</span></div>
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<span style="font-size: small;">Komponen yang sedang diperkenalkan untuk LCR meter ini dikenal sebagai perangkat yang diuji (DUT). DUT pengujian dilakukan di berbagai industri untuk memastikan bahwa produk listrik berfungsi dengan benar. Sebagai contoh, jika suatu sistem video game lepas dari jalur perakitan, LCR yang dapat digunakan untuk melakukan pemeriksaan terakhir dari sistem. Listrik akan diberikan ke perangkat dan meter tes produk untuk memastikan kelayakan fungsinya</span></div>
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<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Uji LCR meter penuh dapat dilakukan dengan sangat cepat tergantung pada perangkat yang diuji. Pada dasarnya, setelah sumber tegangan AC diberikan, tegangan dan arus keduanya diukur. Sementara ini bukan pilihan, sangat mudah untuk pengujian item yang dirakit secara lengkap, bekerja sangat baik pada komponen individu.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">LCR meter tersedia dalam macam format, baik analog dan digital. Penguji analog biayanya lebih efektif dan dapat dibangun dengan menggunakan komponen dasar jika diperlukan. Penguji digital bagaimanapun memberikan pembacaan lebih akurat dan tersedia dalam ukuran yang lebih kecil dan berat.</span></div>
</div>lahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.com1tag:blogger.com,1999:blog-7316700808030502240.post-84851307313979448582011-04-18T18:13:00.000-07:002012-03-17T19:50:34.224-07:00Jenis Analisis dengan SPICE<div dir="ltr" style="text-align: left;" trbidi="on">
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<span style="font-size: small;"><b>SPICE (Simulator Program with Integrated Circuit Emphasis)</b> adalah program komputer yang digunakan untuk menghitungtiru (simulasi) perilaku rangkaian listrik. Program ini terutama diarahkan untuk perancangan rangkaian terpadu (IC). Data masukan program ini, yang disebut sebagai input-deck adalah berkas yang isinya merupakan paparan rangkaian yang hendak dihitung-tiru. Ini meliputi tata hubungan (topology) rangkaian serta nilai-nilai parameter dari setiap elemen rangkaian, misalnya sumber arus (I), sumber tegangan (V), resistansi (R), kapasitansi (C), dan induktansi (L). Paparan rangkaian ini disebut sebagai netlist.</span></div>
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<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Jenis analisis dengan SPICE:<br />
<br />
- analisis DC</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pada analisis DC, baik sumber tegangan maupun sumber arus yang digunakan mempunyai nilai yang tetap (konstan). Di dalam perancangan IC, analisis DC berguna antara lain untuk mengetahui titik operasi rangkaian dalam keadaan tanpa sinyal.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>- analisis Transient</b></span></div>
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<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pada analisis transient, sumber tegangan atau sumber arus mempunyai nilai yang merupakan fungsi dari atau berubah terhadap waktu. Bentuk fungsi waktu ini misalnya bisa berupa fungsi langkah (step-function), atau berupa sebuah pulsa.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>- analisis AC</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pada analisis AC, semua elemen rangkaian dianggap bersifat linier, sehingga analisis ini juga bisa disebut sebagai analisis sinyal kecil ( small-signal analysis ). Di sini sumber tegangan atau arus umumnya merupakan fungsi sinusoidal dengan nilai amplitudo, frekuensi dan fasa yang bisa dipilih. Selanjutnya dilakukan "penyapuan" (sweeping) dari nilai frekuensi sumber ini dari suatu nilai paling rendah ke nilai paling tinggi. Untuk setiap nilai frekuensi tersebut nilai besaran keluaran atau disebut pula sebagai "tanggapan" dari rangkaian, baik tegangan maupun arus pada terminal tertentu dihitung dan diperagakan.</span></div>
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<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>- analisis derau (noise)</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Bagian perangkat program dari SPICE yang ini dapat digunakan untuk melakukan analisis terhadap derau yang dihasilkan oleh elemen rangkaian, misalnya resistor atau divais semikonduktor. Di sini, terminal input rangkaian dihubungkan dengan suatu sumber tegangan atau arus. Maka perangkat analisis ini akan melakukan perhitungan sumbangan derau dari setiap divais di dalam rangkaian tersebut terhadap terminal output yang diamati.</span></div>
</div>lahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.com0tag:blogger.com,1999:blog-7316700808030502240.post-34793159462015074372011-04-15T08:19:00.000-07:002012-03-17T19:50:51.767-07:00Jembatan Wheatstone<div dir="ltr" style="text-align: left;" trbidi="on">
<div class="separator" style="clear: both; text-align: justify;">
<span style="font-size: small;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhfralmCh-_sn9XznG7aQADi9v5XLhbzlhUv-G072fC7r51aDyLzOkbtNmmQtBlGhRqyhF-qDVJncgx-s2zPn9D6XXF0GLbPJlJ3KF9daXFiJU5DFAlJg_1AVK35fsj6FiayyXvFhTZ2qM/s1600/wheatstone.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhfralmCh-_sn9XznG7aQADi9v5XLhbzlhUv-G072fC7r51aDyLzOkbtNmmQtBlGhRqyhF-qDVJncgx-s2zPn9D6XXF0GLbPJlJ3KF9daXFiJU5DFAlJg_1AVK35fsj6FiayyXvFhTZ2qM/s320/wheatstone.png" width="312" /></a></span></div>
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<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Rangkaian jembatan wheatstone adalah susunan dari 4 buah hambatan, yang mana 2 dari hambatan tersebut adalah hambatan variable dan hambatan yang belum diketahui besarnya yang disusun secara seri satu sama lain dan pada 2 titik diagonalnya dipasang sebuah galvanometer dan pada 2 titik diagonal lainnya diberikan sumber tegangan.</span></div>
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<span style="font-size: small;">Dengan mengatur sedemikian rupa besar hambatan variable sehingga arus yang mengalir pada Galvanometer = 0, dalam keadaan ini jembatan disebut seimbang, sehingga sesuai dengan hukum Ohm berlaku persamaan : R1 R4 = R2 R3.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Rangkaian jembatan wheatstone juga dapat disederhanakan dengan menggunakan kawat geser bila besarnya hambatan bergantung pada panjang penghantar. Prinsip dari metode jembatan wheatstone adalah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">1. Hubungan antara resitivitas dan hambatan, yang berarti setiap penghantar memiliki besar hambatan tertentu. Dan juga menentukan hambatan sebagai fungsi dari perubahan suhu</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">2. Hukum Ohm, yang menjelaskan tentang hubungan antara hambatan, tegangan dan arus listrik. Yang mana besar arus yang mengalir pada galvanometer diakibatkan oleh adanya suatu hambatan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">3. Hukum Kirchoff 1 dan 2, yang mana sesuai dari hukum ini menjelaskan jembatan dalam keadaan seimbang karena besar arus pada ke-2 ujung galvanometer sama besar sehingga saling meniadakan.</span></div>
</div>lahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.com0tag:blogger.com,1999:blog-7316700808030502240.post-19096459731817263512010-11-04T20:39:00.000-07:002011-09-05T18:17:28.089-07:00Bab 3 Instrumentasi: Tingkat Pengukuran<div dir="ltr" style="text-align: left;" trbidi="on">
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<span style="font-size: small;"><b>Bab 3<br />
<br />
Tingkat Pengukuran<br />
<br />
3.1 Prinsip Pengukuran Tingkat</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Pengukuran Kontinu</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Satuan tingkat umumnya meter (m). Namun, ada banyak cara untuk mengukur tingkat yang membutuhkan teknologi yang berbeda dan berbagai unit pengukuran.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Diantaranya adalah:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Ultrasonic, waktu transit</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pulse echo</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pulse radar</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tekanan, hidrostatik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Berat, strain gauge</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Konduktivitas</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Capacitive</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
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<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Untuk pengukuran kontinu, tingkat terdeteksi dan diubah menjadi sinyal yang sebanding dengan tingkat. Mikroprosesor berbasis perangkat dapat menunjukkan tingkat atau volume. Teknik yang berbeda juga memiliki kebutuhan yang berbeda. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Misalnya, ketika mendeteksi ingkat dari atas tank, bentuk tangki diperlukan untuk menyimpulkan volume. Bila menggunakan cara hidrostatik, yang mendeteksi tekanan dari bagian bawah tangki, maka kepadatan harus diketahui dan tetap konstan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Point Deteksi</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Point deteksi juga dapat disediakan untuk semua cairan dan padatan. Beberapa jenis umum adalah:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Capacitive</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Microwave</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Radioaktif</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Getaran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Konduktif</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tindakan switching ON/OFF biasanya digunakan untuk berhenti, memulai atau mengkhawatirkan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Mereka juga dapat digunakan sebagai perangkat perlindungan proses atau keselamatan dalam hubungannya dengan peralatan pengukuran kontinu.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Memenuhi sampai melimpahi atau perlindungan kosong bisa menjadi kebutuhan wajib dengan beberapa proses bahan, dan ini mungkin memiliki keterbatasan pada teknologi yang digunakan dan antarmuka untuk terkait sirkuit, yang sering wajib sulit-kabel.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sebuah sistem ukur sering terdiri dari sensor dan sinyal terpisah pengkondisian instrumen. Kombinasi ini sering dipilih saat beberapa output (Kontinu dan switching) yang diperlukan dan parameter mungkin perlu diubah.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>3.2 Sight Glasses Sederhana dan Rod Mengukur<br />
<br />
3.2.1 Kacamata penglihatan<br />
</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sebuah indikasi tingkat visual dapat diperoleh ketika bagian dari kapal dibangun dari bahan transparan atau cairan dalam kapal dilewati melalui tabung transparan. Keuntungan menggunakan katup berhenti dengan penggunaan pipa bypass, adalah kemudahan dalam penghapusan untuk pembersihan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b> Keuntungan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sangat sederhana</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Murah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b> Kekurangan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tidak cocok untuk kontrol otomatis.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pemeliharaan - memerlukan pembersihan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Fragile - mudah rusak</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Aplikasi / Keterbatasan<br />
</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ini tidak cocok untuk aplikasi industri sebagai manual melihat dan transmisi informasi yang diperlukan oleh operator.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Aplikasi peralatan pengukur level seperti dapat dilihat dalam tangki untuk penyimpanan pelumas minyak atau air. Mereka menyediakan sarana yang sangat sederhana untuk mengakses tingkat informasi dan dapat menyederhanakan tugas fisik melihat atau mencelupkan tank. Namun, pada umumnya terbatas pada pemeriksaan operator.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kacamata penglihatan juga tidak cocok untuk cairan gelap atau kotor. Jenis ini tidak boleh digunakan ketika mengukur cairan berbahaya seperti kaca-tabung mudah rusak atau rusak. Dalam instalasi dimana gauge tersebut berada pada suhu yang lebih rendah daripada proses kondensasi dapat terjadi di luar mengukur, merusak keakuratan membaca.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Ringkasan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kacamata penglihatan merupakan teknologi yang lebih tua dan sangat jarang digunakan untuk otomatis mengendalikan aplikasi. Mereka biasanya ditemukan di guci tua!</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.2.2 Metode Mengukur Rod</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Hal ini memerlukan upaya manual sedikit lebih dari kaca saling berhadapan, namun sangat sederhana dan murah metode akuntansi untuk tingkat. Metode ini dapat diterapkan untuk cairan dan bahan curah, dan pita baja tertimbang dapat digunakan dalam silo sangat tinggi. Layanan stasiun menggunakan metode ini untuk 'mencelupkan' tank mereka, yang menggunakan berkumai mencelupkan batang. Sebuah contoh umum adalah 'mencelupkan tongkat' tingkat minyak di kendaraan bermotor.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Metode ini terutama dirancang untuk kondisi atmosfer. Tabung Slip digunakan untuk kapal bertekanan, tetapi memerlukan proses ventilasi gas atau cairan ke dalam suasana. Perangkat ini berbahaya bagi personel dan tidak boleh digunakan dalam ditunjuk daerah aman atau untuk pengendalian sebagai bagian dari proses otomatis.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Mengukur batang</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Catatan dari gambar bahwa pengukuran dibaca dari mana batang dipping kontak bagian bawah kapal.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Keuntungan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sederhana dan murah.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b> Kekurangan<br />
</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Hanya pengukuran sampel</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Bahaya yang berkaitan dengan pengukuran bertekanan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Akurasi Terbatas</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Aplikasi Keterbatasan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ini tidak cocok untuk proses industri yang membutuhkan pengukuran kontinu. Jenis pengukuran ini adalah akses atas saja dan dalam beberapa kasus mungkin memerlukan penggunaan langkah tangga untuk mengakses peralatan penginderaan. Aplikasi terbatas, terutama untuk bertekanan kapal.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Metode ini rentan terhadap kesalahan karena interpretasi operator dan pembacaan gradasi pada tolok ukur. Hal ini juga terbatas pada resolusi gradasi. Resolusi atau akurasi terbaik dapat diasumsikan satu setengah dari yang terkecil ditandai divisi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Tape Sistem Buoyancy 3.3</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ada dua jenis utama sistem tape apung yang tersedia:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Ambang dan sistem tape</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Detektor Wire float dipandu</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.3.1 Float dan Sistem Tape</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Salah satu bentuk umum dari tingkat sistem pengukuran menggunakan tape atau servo motor yang terhubung ke pelampung. Tinggi dapat dibaca sebagai bergerak mengapung dengan tingkat cair.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sistem lain menggunakan metode float dengan merasakan posisi mengapung yang magnetis atau secara elektrik.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sistem Float juga dapat digunakan ketika mengukur padatan granular serta cairan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Kekurangan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pemeliharaan Tinggi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Mahal</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.3.2 Detektor Wire Float Dipandu<br />
</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Untuk pengukuran tingkat besar (mis. 20m), detektor float dipandu kawat dapat digunakan. Panduan kabel yang terhubung ke jangkar atas dan bawah dan membantu dalam posisi float ketika bergerak dengan tingkat cairan. tape terhubung ke bagian atas mengambang dan berjalan langsung atas dan melewati katrol lalu turun ke kepala pengukuran yang berada di luar tangki pada tingkat yang cocok untuk dilihat.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pita berlubang diterima di kepala gauge oleh drive counter sprocketed. Apapun kelambanan dalam rekaman tersebut diambil oleh reel tape storage yang dikencangkan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tensioning dari reel tape storage cukup untuk memastikan pengukuran yang benar, sedangkan tidak mempengaruhi posisi float tersebut.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Poros pada drive counter berputar sebagai mengapung bergerak pita berlubang dan bawah. Gerakan berputar dari poros digunakan untuk memberikan pembacaan metrik.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dalam kondisi atmosfer, segel yang digunakan untuk melindungi kepala dari proses penginderaan cairan. Namun dalam aplikasi bertekanan, lebih baik untuk mengisi kepala dengan penginderaan cairan, terutama jika cairan yang bersih dan pelumas.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Wire-dipandu float detektor dan rincian kepala.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Aplikasi khas</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jenis pengukuran tingkat biasanya menemukan dirinya digunakan untuk pertanian bahan bakar besar, terutama ketika keamanan intrinsik adalah signifikan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Keuntungan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pengukuran tingkat Besar</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Hakekatnya aman</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b> Kekurangan<br />
</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Biaya Instalasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Mekanikal pakai</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b> Aplikasi Keterbatasan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Float dan tape sistem punya masalah yang sama dengan rekaman itu menutup telepon. Ini sering terjadi jika pipa panduan lama tidak sempurna vertikal, di mana rekaman itu menggosok terhadap bagian dalam pipa.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Masalah lain yang umum adalah dengan korosi atau kotoran, dimana rekaman itu dapat diselenggarakan di tempat sementara float bergerak. Masalah-masalah ini lebih cenderung menghasilkan lebih rendah dari membaca yang sebenarnya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kekuatan dari berat float biasanya cukup besar untuk mengatasi gesekan pita terhadap kotoran, sedangkan kekuatan perangkat-up mengambil tidak mungkin. Tank dikendalikan dengan menggunakan alat pengukur tingkat tape akan sering overflow ketika pita macet.Masalah ini dapat dilindungi terhadap dengan menggunakan sebuah switch terpisah tingkat tinggi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pengendali yang lebih canggih yang tersedia yang memantau tangki kapasitas dan pemompaan tarif untuk memeriksa tingkat aktual, laju perubahan dan arah perubahan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Ringkasan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Salah satu keterbatasan utama adalah pemeliharaan tinggi yang diperlukan untuk menjaga pita bersih dan mencegahnya dari gumming up. Ini adalah teknologi lama dan jarang digunakan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.4 Tekanan hidrostatik</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Beberapa jenis pengukuran level dengan tekanan adalah:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tekanan statis</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Diferensial tekanan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Bubble metode tabung</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Diafragma Box</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Berat</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.4.1 Tekanan Statis</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dasar pengukuran tekanan hidrostatik untuk tingkat adalah seperti yang diukur tekanan sebanding dengan tinggi cairan dalam tangki, terlepas dari volume.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tekanan ini berkaitan dengan tinggi sebagai berikut:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
P = h.ρ.g</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">dimana: P = tekanan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">h = ketinggian</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">ρ = Relatif densitas fluida</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">g = percepatan grafitasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Untuk kerapatan konstan, variabel satunya yang berubah adalah ketinggian. Bahkan, setiap instrumen yang dapat mengukur tekanan dapat dikalibrasi untuk membaca ketinggian yang diberikan cair, dan dapat digunakan untuk mengukur tingkat cairan dalam kapal yang sedang kondisi atmosfer.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kebanyakan sensor tekanan mengimbangi kondisi atmosfer, sehingga tekanan pada permukaan cairan terbuka untuk atmosfer akan menjadi nol. Unit pengukur umumnya dalam pascal, tetapi perhatikan bahwa 1 Pa adalah setara dengan 1 kepala m dari air.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Transduser tekanan hidrostatis selalu terdiri dari membran yang dihubungkan baik secara mekanis atau hidrolik untuk elemen transduser. Unsur transduser dapat didasarkan pada teknologi seperti induktansi, kapasitansi, strain gauge atau bahkan semikonduktor.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Transduser tekanan dapat dipasang pada berbagai jenis sensor tekanan sehingga aplikasi dapat cukup spesifik dengan kebutuhan kondisi proses. Sejak gerakan membran hanya beberapa mikron, transduser semikonduktor sangat sensitif terhadap kotoran atau produk build-up. Hal ini membuat jenis ini berguna untuk aplikasi seperti kotoran, lumpur cat air, dan minyak pengukuran. Seal diperlukan untuk cairan korosif atau kental, atau dalam kasus di mana pipa yang digunakan untuk mengirimkan hidrolik tekanan untuk mengukur suatu.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Karena tidak ada aplikasi gerakan, tidak ada gaya santai menyebabkan histeresis. Sebuah sensor tekanan menghadapi tekanan dari sistem, dan karenanya perlu dipasang pada atau dekat bagian bawah kapal. Dalam situasi di mana tidak mungkin untuk mount sensor langsung di sisi kapal di kedalaman yang tepat, dapat mount dari atas kapal dan diturunkan ke dalam cairan di ujung batang atau kabel. Metode ini umumnya digunakan untuk aplikasi di reservoir dan deepwells.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jika penggunaan nosel ekstensi atau pipa-pipa panjang tidak dapat dihindari, tindakan pencegahan yang diperlukan untuk memastikan cairan tidak akan mengeras atau menggumpal dalam pipa. Jika hal ini terjadi, maka tekanan terdeteksi tidak akan lagi akurat. Berbeda pemasangan sistem atau pipa pemanas dapat digunakan untuk mencegah hal ini. untuk memastikan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ini adalah persyaratan dari jenis pengukuran yang tekanan statis diukur. Sensor karena itu, tidak boleh dipasang langsung dalam aliran produk sebagai tekanan terukur akan terlalu tinggi dan tingkat pembacaan tidak akurat. Untuk alasan yang sama, sebuah Sensor tekanan tidak boleh dipasang di outlet pembuangan kapal sebagai pengukuran tekanan akan menjadi salah rendah selama debit.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Keuntungan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tingkat atau pengukuran volume</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Wikipedia untuk merakit dan menginstal</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Wikipedia untuk menyesuaikan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Cukup akurat</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Kekurangan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tergantung pada kepadatan relatif dari bahan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Lebih mahal dari jenis sederhana</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Mahal untuk aplikasi akurasi tinggi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Aplikasi Keterbatasan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tingkat pengukuran dapat dilakukan dengan menggunakan prinsip hidrostatik dalam tangki terbuka ketika kepadatan material adalah konstan. Sensor harus dipasang pada terbuka tangki untuk memastikan bahwa cairan, bahkan pada tingkat minimum yang selalu meliputi proses diafragma. Karena sensor mengukur tekanan, karena itu sensitif terhadap lumpur dan kotoran pada bagian bawah tangki. Build-up dapat sering terjadi di sekitar atau di flens dimana sensor dipasang. BORE air juga dapat menyebabkan kalsium build-up. Hal ini juga penting bahwa pengukuran tekanan yang dirujuk ke atmosfer kondisi. Tingkat Pengukuran Dengan Mengubah Kepadatan Produk</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jika bahan yang diukur adalah kepadatan bervariasi, maka tingkat akurat pengukuran terganggu. Namun, sensor yang tersedia yang mengimbangi berbagai kepadatan. Dalam sensor tersebut, pemasangan saklar batas luar pada yang dikenal ketinggian di atas sensor membuat koreksi. Ketika perubahan status switch, yang sensor menggunakan nilai yang terukur saat ini untuk secara otomatis mengkompensasi densitas apapun berubah.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ini adalah optimal untuk me-mount limit switch eksternal untuk kompensasi ini pada titik mana meningkatkan tingkat atau berkurang. Ini koreksi untuk perubahan densitas adalah yang terbaik ketika jarak antara saklar batas dan sensor dibuat sama besar.Variasi suhu juga mempengaruhi densitas dari fluida. Wax adalah besar masalah di mana pipa yang dipanaskan bahkan dengan sedikit variasi dalam menyebabkan suhu terlihat perubahan dalam kepadatan. Volume Pengukuran Kapal Bentuk yang berbeda-beda Tingkat pengukuran mudah diperoleh dengan tekanan hidrostatik, namun </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">volume cairan di dalam kapal yang bergantung pada bentuk kapal. Jika bentuk kapal tidak berubah untuk meningkatkan tinggi maka volume hanya tingkat dikalikan oleh luas penampang. Namun, jika bentuk (atau kontur) perubahan kapal untuk meningkatkan tinggi, maka hubungan antara tinggi dan volume yang tidak begitu sederhana. Untuk menjelaskan secara akurat volume suara dalam kapal, kurva karakteristik digunakan untuk menggambarkan hubungan fungsional antara tinggi (h) dan volume (V) dari kapal. Kurva untuk silinder horizontal adalah jenis yang paling sederhana dan sering merupakan karakteristik standar yang ditawarkan oleh pemasok paling. Tergantung pada kecanggihan sensor produsen, kurva lain untuk berbagai bentuk kapal juga bisa dimasukkan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Output dari sensor dapat linearised menggunakan kurva karakteristik yang dijelaskan oleh sampai dengan 100 poin referensi dan ditentukan baik dengan mengisi kapal atau</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">dari data yang diberikan oleh produsen.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Diferensial</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ketika tekanan permukaan cairan lebih besar (yang mungkin kasus tangki bertekanan) atau berbeda dengan tekanan atmosfer, maka tekanan diferensial sensor diperlukan. Hal ini karena tekanan total akan lebih besar dari kepala cair tekanan. Dengan sensor tekanan diferensial, tekanan pada permukaan cairan akan dikurangi dari tekanan total, mengakibatkan pengukuran tekanan karena ketinggian cairan. Dalam menerapkan metode pengukuran, LP (tekanan rendah) sisi pemancar dihubungkan ke kapal di atas tingkat cair maksimum. Ini sambungan disebut kaki kering. Tekanan di atas cairan yang diberikan pada kedua LP dan HP (tinggi tekanan) sisi transmitter, dan perubahan tekanan ini melakukan tidak mempengaruhi tingkat diukur.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Teknik Instalasi</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Bila menggunakan sensor tekanan diferensial untuk tujuan ini, sangat umum untuk cair yang diukur untuk menemukan jalan ke kaki kering. Hal ini dapat hasil dari kondensasi atau splash atas. Perubahan tekanan kepala kemudian, biasanya pada lowpressure yang sisi pemancar. Cair di kaki kering dapat menyebabkan pergeseran nol dalam pengukuran. Sebuah solusi umum untuk masalah ini adalah untuk mengisi sebelumnya kering referensi kaki dengan baik cairan yang digunakan dalam kapal atau cairan penyegel. Kaki ini basah memastikan tekanan referensi tetap Karena memiliki tekanan yang lebih tinggi, perubahan ke kaki referensi kering membalikkan LP dan HP koneksi ke pemancar. Tinggi cairan di kaki referensi kebutuhan harus sama atau lebih besar dari tingkat maksimum dalam kapal. Sebagai tingkat meningkat, tekanan pada sensor di dasar kapal akan meningkat, dan diferensial tekanan pada pemancar menurun. Ketika tangki penuh, cairan tekanan akan sama dengan tekanan referensi dan tekanan diferensial akan dicatat sebagai nol. Koreksi ini sederhana dan melibatkan membalikkan HP dan LP atau listrik output dari pemancar. biasing ini juga digunakan untuk memungkinkan referensi HP. Menggunakan DP untuk filter:pengukuran tekanan diferensial untuk level di tangki bertekanan juga digunakan dalam filter untuk menunjukkan jumlah kontaminasi filter. Jika filter tetap bersih, ada tidak ada perbedaan yang signifikan tekanan di filter. Sebagai filter menjadi terkontaminasi, tekanan pada sisi hulu dari filter akan menjadi lebih besar dari di sisi hilir.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Keuntungan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tingkat pengukuran dalam tangki bertekanan atau dievakuasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Wikipedia untuk menyesuaikan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Cukup akurat</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Kekurangan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tergantung pada kepadatan relatif dari bahan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Cukup mahal untuk pengukuran tekanan diferensial</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Ketidakakuratan karena untuk membangun-up</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Perawatan intensif</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Aplikasi Keterbatasan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kepadatan cairan mempengaruhi akurasi pengukuran. DP instrumen harus digunakan untuk cairan dengan berat jenis relatif tetap. Juga proses sambungan rentan terhadap penyumbatan dari puing-puing, dan kaki basah proses mungkin sambungan rentan terhadap pembekuan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>3.4.3 Metode Bubble Tube</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dalam sistem jenis gelembung, tingkat cair ditentukan dengan mengukur tekanan diperlukan untuk memaksa gas menjadi cairan pada titik di bawah permukaan. Metode ini menggunakan sumber udara bersih atau gas dan terhubung melalui pembatasan ke tabung gelembung direndam pada kedalaman tetap ke dalam kapal. pembatasan ini mengurangi aliran udara untuk jumlah yang sangat kecil. Sebagai tekanan membangun, gelembung yang dilepaskan dari akhir tabung gelembung. Tekanan dipertahankan sebagai pelarian gelembung udara melalui cair. Perubahan di tingkat cairan menyebabkan tekanan udara dalam pipa gelembung bervariasi. Di bagian atas tabung gelembung adalah di mana sensor tekanan mendeteksi perbedaan tekanan sebagai perubahan tingkat. Sebagian besar tabung menggunakan V kecil-takik di bagian bawah untuk membantu dengan merilis sebuah konstanta aliran gelembung. Hal ini lebih disukai untuk pengukuran konsisten daripada intermiten gelembung besar.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Udara variasi lekukan tabung bubbler </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Bubblers sederhana dan murah, tapi tidak sangat akurat. Mereka memiliki khas akurasi sekitar 1-2%. Salah satu keuntungan yang pasti adalah bahwa cairan korosif atau cairan dengan padatan hanya dapat melakukan kerusakan pada pipa murah dan mudah diganti. Namun, mereka memperkenalkan suatu zat asing ke dalam cairan. Meskipun tingkat dapat diperoleh tanpa cairan masuk perpipaan, masih mungkin untuk memiliki penyumbatan. Namun, sumbatan dapat diminimalkan dengan menjaga ujung pipa 75mm dari dasar tangki. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Keuntungan </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Wikipedia perakitan </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Cocok untuk digunakan dengan cairan korosif. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Hakekatnya aman </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Aplikasi temp Tinggi </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Kekurangan </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Memerlukan udara tekan dan pemasangan garis udara </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Build-up material pada tube gelembung tidak dibolehkan </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tidak cocok untuk kapal bertekanan </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Mekanikal pakai </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Aplikasi Keterbatasan </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">perangkat tabung Bubble rentan terhadap variasi kepadatan, pembekuan dan ditusuk atau lapisan oleh fluida proses atau puing-puing. Gas yang digunakan dapat memperkenalkan yang tidak diinginkan bahan ke dalam proses seperti yang dibersihkan. Juga perangkat harus mampu menahan tekanan udara maksimum yang dikenakan jika pipa harus menjadi tersumbat. Rodding untuk membersihkan pipa dibantu dengan memasang bagian tee.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Kotak diafragma </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kotak diafragma terutama digunakan untuk pengukuran level air di pembuluh terbuka. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kotak itu berisi sejumlah besar udara, yang disimpan dalam diafragma fleksibel. A </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">tabung menghubungkan kotak diafragma ke pengukur tekanan. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tekanan yang diberikan oleh cairan terhadap volume udara dalam kotak merupakan </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">tekanan fluida pada tingkat itu. Para pengukur tekanan mengukur tekanan udara dan </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">mengaitkan nilai tingkat cairan. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ada dua jenis umum dari kotak diafragma - terbuka dan tertutup. Terbuka </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">diafragma kotak direndam dalam cairan di dalam kapal. Kotak tertutup diafragma </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">dipasang eksternal dari kapal tersebut dan dihubungkan dengan panjang pendek pipa. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kotak terbuka cocok dalam aplikasi dimana mungkin ada beberapa ditangguhkan </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">material, dan jenis tertutup paling cocok untuk membersihkan cairan saja.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ada juga batasan jarak tergantung pada lokasi mengukur. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Keuntungan </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Relatif sederhana, cocok untuk berbagai bahan dan sangat akurat </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Kekurangan </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Membutuhkan lebih banyak peralatan mekanik, terutama dengan kapal tekanan. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Ringkasan</b></span> </div>
<div style="text-align: justify;">
<span style="font-size: small;">Sangat jarang digunakan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Beratnya Metode</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jenis ini tidak langsung pengukuran tingkat cocok untuk cairan dan padatan massal. Aplikasi melibatkan dengan sel beban untuk mengukur berat kapal. Dengan pengetahuan kepadatan relatif dan bentuk kotak penyimpanan, tingkat mudah menghitung.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Tingkat Pengukuran Menggunakan Berat</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Teknik Instalasi Strain gauges dapat dipasang pada baja mendukung sebuah kapal atau bin. Kalibrasi dilakukan cukup hanya dengan mengukur output ketika tangki kosong dan lagi ketika penuh.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Keuntungan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sangat tingkat pengukuran yang akurat untuk bahan dasar kepadatan relatif konstan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Kekurangan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Memerlukan sejumlah besar peralatan mekanik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sangat mahal</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Bergantung pada kepadatan relatif konsisten dari bahan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Aplikasi Keterbatasan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sejumlah besar peralatan mekanik yang diperlukan untuk kerangka, dan juga diperlukan untuk menstabilkan sampah. Pengukuran resolusi berkurang karena prioritas diberikan pada keakuratan keseluruhan berat badan. pembacaan tidak stabil terjadi ketika sampah sedang diisi atau dikosongkan. Karena berat keseluruhan adalah jumlah dari kedua bobot produk dan kontainer loading angin dapat menyebabkan masalah yang signifikan. Untuk alasan yang paling instalasi menggunakan konfigurasi sel empat-load.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>3.5 Pengukuran Ultrasonic<br />
3.5.1 Prinsip Operas</b>i</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">tingkat sensor ultrasonik bekerja dengan mengirimkan gelombang suara ke arah tingkat dan mengukur waktu yang dibutuhkan untuk gelombang suara yang akan dikembalikan. Sebagai kecepatan suara diketahui, waktu transit diukur dan jarak dapat dihitung. pengukuran ultrasonik umumnya mengukur jarak antara isi dan bagian atas kapal. Ketinggian dari bawah disimpulkan sebagai perbedaan antara membaca dan total tinggi kapal. Ultrasonic pengukuran sistem yang tersedia yang dapat mengukur dari bagian bawah kapal bila menggunakan cair.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pulsa gelombang suara asli memiliki frekuensi transmisi antara 5 dan 40 kHz; ini tergantung pada jenis transduser yang digunakan. Transduser dan sensor terdiri dari</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">satu atau lebih kristal piezo-listrik untuk transmisi dan penerimaan suara sinyal. Ketika energi listrik diterapkan pada kristal piezo-listrik, mereka pindah ke Penghasil sinyal suara. Ketika gelombang suara yang dipantulkan kembali, pergerakan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">gelombang suara yang dipantulkan menghasilkan sinyal listrik, ini terdeteksi sebagai mengembalikan pulsa. Waktu transit diukur sebagai waktu antara ditransmisikan dan kembali sinyal.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.5.2 Seleksi dan Sizing</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Berikut adalah daftar pilihan beberapa produsen umumnya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Frekuensi Otomatis adaptasitransmisi optimum bergantung pada frekuensi resonansi tertentu yang tergantung pada pemancar dan aplikasi. Frekuensi resonansi ini juga tergantung pada pembangun debu, kondensasi atau bahkan perubahan suhu. Elektronik sensor dapat mengukur frekuensi resonansi bebas selama arus dering dari membran dan perubahan frekuensi dari pulsa ditransmisikan sebelah mencapai efisiensi yang optimal.spesifikasi desain Exact tergantung pada produsen. Beberapa produsenmungkin berbeda-beda denyut nadi dan / atau keuntungan (daya). Sebagai panduan, frekuensi transduser harus dipilih sehingga akustik panjang gelombang melebihi ukuran granul (diameter median) oleh setidaknya empat faktor.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Spurious Echo Suppression</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Meskipun ultrasonik dapat menghasilkan sinyal yang baik untuk tingkat, mereka juga mendeteksi lainnya permukaan dalam kapal. Benda lain yang dapat mencerminkan sebuah sinyal dapat inlet, tulangan balok atau lapisan pengelasan. Untuk mencegah perangkat membaca benda-benda ini sebagai tingkat, informasi ini bisa ditekan. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Meskipun sinyal dapat tercermin dari benda-benda ini, karakteristik mereka akan berbeda. Penindasan ini palsu sinyal didasarkan pada memodifikasi ambang deteksi. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">pemasok Kebanyakan model-model yang bin peta dan data digital disimpan dalam </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">memori. membaca ini disesuaikan ketika gema palsu terdeteksi. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Pengukuran Volume</b></span> </div>
<div style="text-align: justify;">
<span style="font-size: small;">Paling modern perangkat pengukuran ultrasonik juga menghitung volume. Hal ini cukup </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">sederhana jika kapal memiliki luas penampang konstan cross. Lebih kompleks, berbagai silang luas penampang kapal memerlukan bentuk geometri diketahui untuk menghitung volume kapal. Kerucut atau bentuk persegi dengan meruncing di dekat bagian bawah yang tidak biasa. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>3.5.3 Pertimbangan Pemilihan</b></span> </div>
<div style="text-align: justify;">
<span style="font-size: small;">- Jarak yang diukur </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jenis perangkat ultrasonik harus mampu menutupi jarak yang dibutuhkan. Ini biasanya disertakan dalam lembar spesifikasinya. Perhatikan bahwa umum spesifikasi untuk udara bersih dan permukaan yang datar. Alasan untuk variasi rentang adalah bahwa sistem yang dirancang untuk akurasi tinggi dan jarak pendek tidak akan cukup kuat untuk jarak yang lebih jauh. Demikian pula yang lebih kuat sistem mungkin terlalu kuat untuk jarak pendek dan menyebabkan terlalu banyak echo dan akibat kebisingan. Perlu dicatat bahwa sistem baru memiliki variabel otomatis keuntungan untuk mengkompensasi hal ini. Perubahan suhu atau debu, kotoran dan kondensasi pada sensor menghambat pengoperasian perangkat. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Permukaan material</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ini merupakan persyaratan mendasar dalam jenis sistem pengukuran yang bagian dari </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">sinyal yang ditransmisikan dipantulkan kembali dari permukaan produk yang akan </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">diukur. Permukaan lebih jelas mengukur, maka lebih akurat dan dapat diandalkan nilai yang terukur. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kejelasan permukaan dapat dikaburkan oleh: </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Lapisan busa di permukaan cairan </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Butiran halus pada material curah </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Awan debu yang berlebihan dengan transfer bijih </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dalam kasus cair, pilihan dapat mencakup pengukuran dari bagian bawah kapal, untuk menginstal suatu bentuk mekanis penghapusan busa. Ekstraksi debu atau settling time mungkin diperlukan untuk kasus atau transfer padat di mana awan adalah masalah. kejadian kecil kondisi baik umumnya tidak mempengaruhi pengukuran. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Kondisi lingkungan </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Karena sinyal ultrasonik harus melalui udara di mana ia terinstal, seperti faktor seperti debu, uap, tekanan, temperatur dan gas perlu dipertimbangkan. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Acoustic noise </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Bentuk umum dari kebisingan akustik terjadi ketika sebuah truk tips beban bijih menjadi penyimpanan bin atau hopper. Suara yang dihasilkan dari pengalihan bijih dapat mempengaruhi dan menurunkan kualitas sinyal kembali. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tekanan </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Secara umum, sistem pengukuran ultrasonik tidak terpengaruh oleh tekanan variasi. Satunya keterbatasan yang dikenakan adalah karena mekanis kendala peralatan, dan dalam kasus tekanan rendah, kemampuan untuk memancarkan energi suara. Salah satu batasan dengan kapal bertekanan adalah bahwa karena mereka sepenuhnya tertutup mungkin ada masalah dengan Echos kedua atau berulang. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Suhu </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Perubahan suhu mempengaruhi kecepatan gelombang suara dan akhirnya waktu transit. Sensor suhu membuat penyesuaian korektif. Kesalahan dapat terjadi dalam situasi di mana ada gradien suhu bervariasi selama jarak pengukuran. Pengoperasian alat ultrasonik bisa sampai 170oC, dengan pembatasan yang disebabkan oleh pembangunan perumahan transduser.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Gas</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Seperti disebutkan sebelumnya, jenis pengukuran tergantung pada kecepatan suara. Kecepatan suara tidak hanya bervariasi dengan perubahan suhu, tetapi juga dengan media yang berbeda. Akibatnya, kecepatan suara bervariasi untuk berbeda gas atau uap. Rekomendasi utama adalah untuk mempertimbangkan penggunaan terpisah sensor suhu dalam hal suhu sangat bervariasi, yang bentuk dalam hangat untuk cairan panas. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Mounting</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Karena perangkat ultrasonik ini dimaksudkan untuk mengukur tingkat, itu membutuhkan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">terhalang jalan sehingga sinyal hanya tercermin adalah bahwa material yang akan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">diukur. Jalan produk jatuh, dan refleksi dari permukaan kapal induk harus dihindari. Bawah permukaan harus miring sehingga bahwa sinyal tercermin secara langsung kembali ke pemancar untuk yang valid pengukuran. Jika bagian bawah kapal tersebut pada suatu sudut sehingga sinyal tercermin dari sejumlah dinding, output dari perangkat dapat terduga. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sinar ultrasonik tidak dapat dipersempit tetapi kerucut focalising dapat digunakan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Semua sensor memiliki zona mati, atau jarak blanking di mana panjang mereka tidak dapat akal gelombang suara. Jarak ini sesuai dengan panjang ditransmisikan sinyal dan mencegah sinyal ditransmisikan terdeteksi sebagai kembali sinyal.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Self cleaning</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dalam aplikasi di mana percikan dapat terjadi, probe pembersihan diri mungkin</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">diperlukan. Kondensasi, cair dan debu atomised pada kontak dengan sangat aktif wajah transduser. Hal ini membuat probe pembersihan diri tahan terhadap membangun mengurangi perawatan rutin. Dengan sistem ganda, baik frekuensi transduser harus sama. Jarak blanking juga bervariasi dengan aplikasi tersebut.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>3.5.4 Teknik Instalasi</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ketika mengukur melalui debu, sinyal ditransmisikan sangat dilemahkan dan penginderaan peralatan mengalami kesulitan dalam menentukan tingkat. Ada dua utama</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">komponen sinyal ultrasonik, kekuatan sinyal dan frekuensi. Perlu mencatat bahwa meskipun suara frekuensi yang lebih rendah kurang dilemahkan oleh debu, itu bergaung</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">dalam kapal membuat miskin gema. Sebuah solusi untuk mengukur jenis proses adalah dengan menggunakan sinyal frekuensi tinggi dengan daya akustik yang tinggi. Reposisi sensor yang cukup umum untuk menyelesaikan pengukuran ultrasonik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">masalah.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>3.5.5 Keuntungan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Non kontak dengan produk</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Cocok untuk berbagai macam cairan dan produk massal</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Reliable kinerja dalam pelayanan sulit</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tidak ada bagian yang bergerak</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pengukuran tanpa kontak fisik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Terpengaruh oleh kerapatan, kadar air atau konduktivitas</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Akurasi sebesar 0,25% dengan kompensasi suhu dan self-calibration.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>3.5.6 Kekurangan <br />
</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Produk harus memberikan cerminan yang baik dan tidak menyerap suara </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Produk harus memiliki lapisan yang berbeda baik pengukuran dan tidak dikaburkan </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">oleh busa atau menggelegak. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tidak cocok untuk tekanan tinggi atau dalam ruang hampa </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Kabel khusus dibutuhkan antara transduser dan elektronik </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Suhu terbatas pada 170 derajat Celcius </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.5.7 Aplikasi Keterbatasan </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kinerja dari tingkat pemancar ultrasonik sangat tergantung pada echo itu menerima. Gema mungkin lemah karena dispersi dan penyerapan. Mungkin Dispersi ada masalah pada kapal lebih tinggi dan dapat dikurangi dengan menggunakan kerucut focalising. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dalam kasus bahan menyerap suara, gema sinyal dapat sangat dikurangi, dalam hal sistem energi yang lebih tinggi mungkin diperlukan. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dalam menerapkan alat ukur tingkat ultrasonik untuk aplikasi yang lebih sulit, kesesuaian dapat mengandalkan pada pengalaman masa lalu atau membutuhkan pengujian sebelum permanen instalasi dilakukan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.5.8 Ringkasan </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jenis pengukuran tingkat memiliki keandalan yang sangat baik dan akurasi yang sangat baik. Keuntungan utama lainnya adalah bahwa hal itu adalah teknologi non-kontak, yang membatasi korosi dan kontaminasi dengan isi kapal. Jumlah besar pemancar frekuensi yang tersedia jenis ini dari penginderaan untuk dikustomisasi untuk setiap aplikasi. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>3.6 Radar Pengukuran </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Radar pengukur berbeda dari ultrasonik dalam bahwa mereka menggunakan gelombang mikro bukan suaragelombang. Seperti perangkat ultrasonik mereka mengukur dari atas kapal untuk menentukan tingkat produk. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dua contoh dari alat pengukur radar adalah 5.8GHz dan 24GHz sistem. Semakin tinggi </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">frekuensi transmisi dapat digunakan untuk mendeteksi kering, bahan non-konduktif dengan sangat low bulk density.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Keuntungan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Digunakan pada sulit 'sulit menangani' aplikasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Ketelitian tinggi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Non-kontak</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Mengukur tingkat melalui tangki plastik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Monitor isi dari kotak atau multi-media materi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Mendeteksi hambatan dalam peluncuran atau menekan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Kekurangan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sensitive untuk membangun-up di wajah sensor</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sangat mahal, A $ 6-15k, tergantung pada akurasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Aplikasi Keterbatasan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Radar pengukur cukup spesifik dalam aplikasi mereka digunakan. Radar pengukuran tingkatharus dihindari pada makanan padat karena pantulan sinyal lemah yang terjadi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Meskipun sensor radar tidak dapat mengukur semua aplikasi bahwa radiasi nuklir dapat,sensor radar digunakan dalam preferensi untuk teknologi ultrasonik atau laser </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">dalam aplikasi yang berisi jumlah besar sebagai berikut:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sensor pelapis</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Cair turbulensi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Busa</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Ringkasan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Radar tingkat pengukuran terutama digunakan di mana suhu dan tekanan adalah masalah.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>3.7 Getaran Switch</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Getaran penginderaan hanya cocok untuk titik pengukuran. Mereka terdiri dari berosilasi atau garpu tala yang dibuat untuk beresonansi di udara. Frekuensi resonansi akan berkurang ketika garpu dibawa ke dalam kontak dengan produk. Jenis garpu digunakan dan frekuensi resonansi tergantung pada material yang akan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">diukur. menggunakan masing-masing mereka tertera sebagai berikut:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Tuning Fork:</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Bulk produk dalam bentuk bubuk butiran atau</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Berosilasi bentuk:</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Cairan dan lumpur</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Keuntungan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Wide berbagai aplikasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Murah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tidak ada penyesuaian atau perawatan yang diperlukan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Kekurangan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Grain terbatas pada ukuran 10mm</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sama pembatasan untuk partikel tersuspensi dalam cairan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Aplikasi Keterbatasan </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Seperti yang disebutkan sebelumnya, tingkat getaran switch terbatas pada titik atau tingkat deteksi. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.8 Pengukuran Radiasi </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">sumber radiasi Gamma dipilih untuk digunakan di tingkat mendeteksi peralatan karena </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">sinar gamma memiliki daya tembus besar dan tidak bisa dibelokkan. Tingkat pengukuran dengan radiasi bekerja pada prinsip yang lewat radiasi gamma melalui materi yang akan diukur. Sebagai radiasi melewati material ini, tingkat dapat ditentukan oleh jumlah redaman. Sumber Komponen utama dari jenis alat ukur adalah sumber radioaktif. Dua jenis umum sumber radioaktif Cesium 137 (Cs 137) dan Cobalt 60(Co 60). </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Aktivitas zat radioaktif berkurang dengan waktu. Waktu yang dibutuhkan untuk </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">kegiatan seperti zat untuk mengurangi separuh disebut setengah-hidup. 60 Cobalt memiliki paruh 5,3 tahun sementara Cesium 137 di sisi lain memiliki paruh 32 tahun. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dengan Cesium 137 memiliki seperti setengah seumur hidup, ada kurang perlu untuk menerapkan koreksi untuk tingkat aktivitas menurun. Cobalt 60, yang meluruh sedikit lebih cepat memerlukan paruh faktor koreksi untuk mengimbangi pembusukan dalam kegiatan. peralatan pengukuran modern sekarang memiliki koreksi otomatis setengah-hidup, dan sebagai seperti pilihan sumber tidak lagi menjadi faktor penting. Juga harus dicatat bahwa meskipun meluruh sumber, energi elektromagnetik yang dihasilkan tidak dapat mendorong bahan-bahan lain untuk menjadi radioaktif. Ini berarti bahwa sumber gamma dapat digunakan sekitar bahan seperti makanan dan juga pada makanan grade bahan kemasan. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Sumber Ukuran </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Salah satu keuntungan dari jenis pengukuran tingkat adalah bahwa hal itu dapat dipasang luar kapal bahan yang akan diukur. Dalam instalasi tersebut, sumber radiasi harus menembus zat lain selain udara. Ada batas pada intensitas medan radiasi minimal pada detektor dan </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Oleh karena itu pertimbangan redaman sumber melalui dinding kapal dan bahan proses harus diperhitungkan. Hal ini memastikan bahwa intensitas radiasi tidak berjalan di bawah level sensing dibutuhkan pada detektor.Informasi ini melibatkan berbagai variabel dan diteliti dengan baik dan didokumentasikan. Namun, ukuran sumber yang mungkin lebih mudah dan akurat diperoleh dari pemasok saat menentukan dan memilih peralatan pengukur.Dalam kapal besar yang memerlukan sumber besar untuk mengatasi redaman melalui material, ukuran sumber dapat menghambat penggunaan seperti teknik pengukuran. Dalam aplikasi tersebut, tali dapat dipilih yang mengurangi jumlah atenuasi sumber karena kawasan yang mengurangi bahan dan oleh karena itu ukuran sumber disimpan untuk minimum.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Strip Detector</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Detektor untuk pengukuran kontinyu adalah jenis kilau counter dan photomultiplier. Jenis penginderaan memiliki keuntungan dari sensitivitas tinggi kilau kristal (dibandingkan dengan Geiger counter) digabungkan dengan keselamatan dan ekonomi dari sebuah sumber titik.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kilau batang counter tongkat perspex optik murni di mana kilau kristal yang terdistribusi secara merata. Dengan keberadaan radiasi gamma, kristal kilau memancarkan kilatan cahaya yang kemudian dideteksi oleh photomultiplier di dasar batang dan diubah menjadi pulsa listrik. Serangkaian terus berkedip referensi dihasilkan oleh LED suatu ke serat optik link melalui total panjang batang sintilator. Hal ini dilakukan untuk memantau kritis optik hubungan antara batang kilau dan foto-pengganda.Terlepas dari apakah batang terkena radiasi, ini berkedip referensi harus dirasakan oleh photomultiplier. Alarm diaktifkan jika mereka tidak diterima.Tingkat radiasi dikonversi menjadi sinyal (Pulse Code Modulated) PCM oleh elektronik dipasang pada detektor dan dikirim ke penguat pengukuran.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Point Tingkat Pengukuran <br />
</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Detektor dipasang berdekatan dengan sumber dan alat pengukur. Untuk </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">switching tingkat ada dua jenis umum digunakan: </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- The Geiger-Mueller (G-M) tabung </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Ruang ionisasi Gas </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tabung GM memiliki anoda kawat elemen di tengah katoda silinder. Daerah antara anoda dan katoda diisi dengan gas inert dan disegel. tegangan A diterapkan di terminal-terminal (250-300 V). Ketika radiasi gamma yang ionises gas inert, ada kerusakan listrik antara anoda dan katoda. Frekuensi kerusakan relatif terhadap intensitas radiasi gamma. Kekuatan lapangan ditentukan dengan menghitung pulsa yang dihasilkan selama waktu tertentu interval. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Detektor umum lainnya adalah ruang ionisasi gas. Ruang ionisasi adalah mirip dengan tabung GM di bahwa itu diisi dengan gas inert dan disegel. Perbedaan utama adalah bahwa alih-alih menerapkan tegangan tembus, tegangan rendah (Biasanya 6V)diterapkan di terminal. Ketika ruangan terkena gamma radiasi ionisasi terjadi dan saat ini terus dipancarkan dari detektor. Sebagai kapal mengisi, energi gamma diblokir dari mencapai detektor menyebabkan ionisasi kurang menghasilkan perubahan proporsional dalam sinyal. Tingkat tinggi menghasilkan keluaran arus yang rendah, dengan tingkat yang rendah menghasilkan output yang tinggi. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Continuous Tingkat Pengukuran</b></span> </div>
<div style="text-align: justify;">
<span style="font-size: small;">Ada dua sumber umum untuk pengukuran tingkat kontinyu: </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sumber Strip </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sumber Point </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kedua metoda ini menggunakan detektor strip. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sumber strip lebih akurat karena memancarkan, panjang dan sempit, balok seragam dalam arah detektor. Sebagai perubahan tingkat, detektor ditutupi dan dilindungi </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">dari sumber dan perubahan respon yang sesuai. Respon seragam dan linier selama rentang seluruh, menghasilkan sinyal linier yang sesuai dengan perubahan tingkat. Pengecualian adalah 0% dan 100% dimana non-linear efek akhir terjadi. Dampak perubahan densitas dapat diatasi dengan sizing source untuk yang lebih rendah kepadatan kepadatan lebih tinggi sehingga tidak mempengaruhi membaca di detektor.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sumber strip adalah akurat dan memberikan respon linier baik, namun itu adalah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">lebih mahal. Sumber titik adalah alternatif yang lebih murah.Sumber titik bekerja dengan cara yang serupa dengan sistem sumber strip, di strip detektor mengukur radiasi dari sumber. radiasi merasakan oleh detektor masih dilemahkan dengan tingkat, namun sistem sumber titik menghasilkan non-linear respon dengan mengubah tingkat.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pemegang sumber umumnya memiliki sudut keluar dari 20 atau 40 derajat. radiasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">balok daun aperture secara langsung dan harus diarahkan oleh pemasangan sumber</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">pemegang. Sudut dari pemegang sumber adalah setengah dari sudut radiasi keluar,</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">memungkinkan pemegang sumber dipasang pada titik ukur tertinggi. Perhatikan bahwa gamma energi rendah yang dipancarkan dari sumber yang tidak jadi di tepat bentuk melalui dinding kapal. Hal ini kemudian diukur pada sisi lainnya dengan detektor.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ada sejumlah faktor yang berubah ketika tingkat naik dan turun:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Ketebalan bahan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Geometri sumber radiasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Jarak dari sumber ke detektor</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Bebas ruang</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sistem non-linearitas dapat diperbaiki secara elektronik dalam receiver.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Cara untuk meningkatkan linearitas dan akurasi pada ujung bawah adalah dengan menggunakan satu detektor strip dan dua atau lebih sumber titik. Jelas biaya dapat merupakan faktor penghambat.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Mengatasi Masalah</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Metode untuk pengujian dan kalibrasi detektor radiasi tingkat cukup sederhana. Pengujian 100% penuh dilakukan dengan menutup rana sumber, seolah-olah kapal penuh.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Untuk menguji atau mengkalibrasi untuk tingkat aktual, counter Geiger portabel digunakan. Dengan menjalankan yang Geiger counter menuruni dinding antara kapal dan detektor, tingkat adalah titik di mana layar cair dari sumber dan bacaan penurunan counter</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">cepat.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Keuntungan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Cocok untuk berbagai produk</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Terpasang tanpa halangan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Dapat dipasang di luar kapal</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Kekurangan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Harus selalu dipasang di sisi kapal</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tindakan keamanan khusus yang diperlukan untuk penggunaan radiasi gamma</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Mei juga melibatkan persyaratan lisensi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Mahal</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Aplikasi Keterbatasan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sumber titik metode pengukuran tingkat kontinyu adalah lebih murah dibandingkan strip sumber. Namun, jika tidak diperbaiki, non-linieritas dapat menyebabkan masalah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">dengan sistem kontrol melakukan pengawasan terus menerus. Ini adalah perhatian khusus jika operasi rentang signifikan, dalam hal perubahan akurasi mungkin menjadi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">masalah.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sumber titik ini sangat cocok di mana alarm bervariasi atau indikasi tingkat yang</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">diperlukan dan juga memberikan keuntungan tambahan dalam hal keamanan radiasi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">sumber Strip dibatasi untuk Co60 karena berat Cs137. Keterbatasan juga berlaku</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">ke sumber strip dari Co60, yang cukup berat, rumit dan mahal.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ringkasan keuntungan dari jenis pengukuran adalah bahwa hal itu dapat dilakukan dari luar kapal. situasi tersebut dapat dalam penggunaan yang sangat kasar, kasar, korosif atau sangat perekat produk. Aplikasi dengan tekanan yang sangat tinggi atau suhu seperti reaktor atau tungku juga mungkin memerlukan teknik pengukuran eksternal. Jenis pengukuran ini sangat jarang digunakan karena biaya dan keamanan peraturan yang diperlukan untuk mengoperasikan peralatan radioaktif.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.9 Pengukuran Listrik</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.9.1 Konduktif tingkat deteksi</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Dasar Operasi</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Bentuk pengukuran tingkat terutama digunakan untuk deteksi tingkat tinggi dan rendah. Probe elektroda atau konduktivitas menggunakan konduktivitas cairan untuk mendeteksi adanya cairan di lokasi penginderaan. Sinyal yang diberikan on atau off. Bila fluida tidak bersentuhan dengan probe, hambatan listrik antara probe dan kapal akan sangat tinggi atau bahkan tak terbatas. Bila tingkat cairan naik untuk menutup probe dan melengkapi rangkaian antara probe dan kapal,perlawanan di sirkuit akan berkurang.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Untuk kontrol tingkat, sebagai lawan deteksi tingkat, dua probe dapat digunakan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ada berbagai jenis probe yang tersedia. Dalam hal cairan yang meninggalkan mantel residual pada probe, versi resistansi rendah diperlukan. Versi ini mampu mendeteksi perbedaan antara produk yang sebenarnya ketika probe terbenam dan daya sisa ketika probe terkena. Seperti aplikasi untuk sensor jenis ini adalah produk yang buih, seperti susu, bir atau minuman berkarbonasi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Beberapa kerugian dengan saklar konduktivitas adalah bahwa mereka hanya bekerja dengan konduktif dan non-perekat cairan. Juga di intrinsik aplikasi yang aman, dimana memicu tidak diperbolehkan, sensor harus beroperasi pada daya sangat rendah.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">switch Konduktivitas adalah biaya rendah dan sederhana dalam desain. Mereka adalah indikasi yang baik untuk perlindungan pada pompa dalam kasus kering berjalan deteksi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Seleksi dan Ukuran</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dalam menilai permohonan penyelidikan konduktivitas, tegangan AC kecil dari</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">transformator dapat diterapkan pada batang logam untuk mensimulasikan probe dan dinding kapal.Untuk akurasi, ini harus berada pada posisi yang sama dan jarak dari dinding sebagai probe. Kemudian dengan sekitar 50mm dari batang tenggelam dalam cairan, yang saat ini dapat diukur dan perlawanan dihitung:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>R dalam ohm = V dalam volt / I di ampli</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jika dihitung resistansi kurang dari yang dibutuhkan untuk instrumen, maka konduktivitas probe dan amplifier dapat digunakan. Ini bukan berarti sangat akurat dari menentukan kesesuaian, namun tidak memberikan indikasi yang masuk akal. Masalah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">dengan uji ini bervariasi karena tergantung pada daerah permukaan kontak dan lokasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">probe.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Teknik Instalasi - Mounting di tangki</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Cairan menyebabkan build-up:</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Vertikal mounting di tangki dari atas dianjurkan bila menggunakan cairan yang</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">meninggalkan deposit konduktif di isolasi. Lateral mounting di tangki sangat cocok jika cair, setelah kliring isolasi, hanya daun lapisan yang merupakan konduktor yang buruk.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Mount point:</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Harus dipastikan bahwa cairan tersebut tidak menyentuh probe konduktivitas saat</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">tangki terisi. Probe juga harus tidak menyentuh dinding logam atau lainnya konduktif secara elektrik instalasi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Mount dari atas:</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jika pemasangan dari atas, perlu dicatat bahwa tingkat di mana saklar itu mungkin dipicu tidak menentu. Switch dapat mengaktifkannya dengan hanya beberapa milimeter cair meliputi probe, atau pada bahan konduktif kurang mungkin memerlukan probe untuk sepenuhnya terendam.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Mount dari samping:</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Probe panjang lebih besar dari 120mm umumnya cukup untuk sisi mounting. Jika</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">tidak dapat dihindari dan probe harus dipasang pada tangki dimana cairan dapat menyebabkan build-up, probe maka mungkin diperlukan lagi. probe yang lebih lama memiliki kontak yang lebih tinggi ketahanan rasio antara probe tertutup dan bebas yang isolasi dengan beberapa konduktivitas. Jika probe harus dipasang dari samping, maka harus menunjuk sedikit ke bawah untuk memungkinkan cairan menetes lebih mudah. Hal ini dapat membantu mengurangi konduktif build-up di isolasi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Teknik Instalasi - Mounting dalam pipa </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Memilih probe panjang:</b></span> </div>
<div style="text-align: justify;">
<span style="font-size: small;">Probe Panjang sesingkat mungkin harus digunakan. Ini meminimalkan efek pada aliran dan juga mempermudah mounting. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Mount point: </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dalam aplikasi aliran, akan ada loading yang cukup besar pada probe. Ketika menginstal probe, memperhitungkan beban lateral maksimum probe. Gunung probe jauh dari aliran dengan memperhatikankecepatan aliran, viskositas dan pipa </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">diameter. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b> <br />
Kontaminan: </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Hard partikel padat dalam cairan dapat menyebabkan aus isolasi, hal ini terutama untuk aplikasi aliran. Masalah lain terjadi ketika puing-puing yang panjang dan berserat mengendap pada probe batang dan menghasilkan kesalahan dalam pengukuran. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Keuntungan </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sangat sederhana dan murah </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tidak ada bagian yang bergerak </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Baik untuk titik kontrol ganda (tingkat kontrol switching) dalam satu instrumen </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Baik untuk aplikasi tekanan tinggi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Kekurangan <br />
</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Kontaminasi probe dengan mengikuti material dapat mempengaruhi hasil </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Terbatas aplikasi untuk produk-produk dari berbagai konduktivitas </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Desain keselamatan intrinsik perlu ditetapkan jika diperlukan </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Terbatas untuk lapisan konduktif dan non proses </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Kemungkinan korosi elektrolitik </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Aplikasi Keterbatasan </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Salah satu keterbatasan utama adalah bahwa cairan perlu konduktif. Produsen menetapkan tingkat konduktivitas yang diperlukan.Seorang tokoh khas untuk efektif operasi akan berada di bawah 108 ohm / tahanan cm. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Permasalahan akan muncul ketika mendeteksi cairan yang sedang gelisah atau bergolak. Karena dengan biaya rendah dari jenis pengukuran, mungkin diinginkan untuk menginstal dua probe untuk mendeteksi tingkat yang sama. Atau, jarak vertikal kecil antara dua probe dapat digunakan untuk menyediakan zona deadband atau netral. Hal ini dapat melindungi terhadap bersepeda harus cipratan terjadi (waktu tunda yang melayani tujuan yang sama).</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.9.2 Pengaruh Tingkat Lapangan Deteksi </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sedangkan probe konduktif bergantung pada konduktivitas fluida, efek medan probe bergantung pada cairan (atau bahan) yang memiliki sifat listrik yang berbeda untuk udara (atau media void). </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Probe menghasilkan efek medan lapangan antara tutup logam dan logam kelenjar. Tutup logam terletak di ujung probe, dengan kelenjar tentang 200mm jauh di mounting ke dalam kapal. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ketika cair, bubur atau bahkan materi padat istirahat lapangan, frekuensi tinggi meningkat saat ini dan memicu saklar. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keuntungan dan kerugian sama dengan orang-orang untuk probe konduktivitas dengan perbedaan berikut ini: </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Keuntungan</b></span> </div>
<div style="text-align: justify;">
<span style="font-size: small;">- Cocok untuk aplikasi konduktif atau non-konduktif </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Kekurangan</b></span> </div>
<div style="text-align: justify;">
<span style="font-size: small;">- Aplikasi terbatas dalam tekanan tinggi dan suhu </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Aplikasi Keterbatasan </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Karena biaya tambahan, dengan hanya sejumlah keuntungan, hanya beberapa </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">produsen menggunakan teknologi ini dalam produk mereka.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.9.3 Pengukuran Tingkat Capacitive </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Dasar Operasi - bahan proses non-konduktif</b></span> </div>
<div style="text-align: justify;">
<span style="font-size: small;">tingkat pengukuran Capacitive mengambil keuntungan dari konstanta dielektrik dalam semua bahan untuk menentukan perubahan di tingkat. Dielektrik, dalam hal kapasitansi, adalah bahan isolasi antara pelat kapasitor. Konstanta dielektrik adalah representasi dari kemampuan bahan isolasi. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Cukup sederhana, sebuah kapasitor tidak lebih dari sepasang elektroda konduktif dengan tetap jarak dan dielektrik di antara mereka. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kapasitansi tidak terbatas untuk pelat, dan dapat diukur antara probe atau </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">permukaan lain yang terhubung sebagai elektroda. Ketika sebuah probe dipasang di sebuah kapal, sebuah kapasitor terbentuk antara probe dan dinding kapal. kapasitansi ini didefinisikan dengan baik untuk bahan banyak, dan cukup rendah ketika probe di udara. Ketika bahan mencakup probe, rangkaian dibentuk terdiri dari kapasitansi yang jauh lebih besar dan perubahan dalam perlawanan. Ini adalah perubahan dielektrik konstan yang mempengaruhi kapasitansi dan pada akhirnya apa yang diukur. Sebuah alternatif untuk ini adalah pengukuran kapasitansi antara dua probe (Elektroda). </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Dasar Operasi - Konduktif bahan proses</b></span> </div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Wikipedia pengukuran kapasitif umumnya dilakukan pada proses non-konduktif material. Dalam sizing aplikasi untuk kesesuaian, salah satu keprihatinan adalah konduktivitas material. Masalah muncul ketika menggunakan bahan konduktif seperti ini menghubungkan pelat bersama (suatu arus pendek). Sebagai kapasitansi bergantung pada isolasi (atau dielektrik), maka kemampuan untuk mengukur kapasitansi terganggu. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dalam aplikasi konduktif, bahan proses didasarkan oleh kontak tersebut dengan dinding kapal. Isolasi saja (atau dielektrik) adalah insulasi pada kapasitif probe. Dengan demikian, bahan proses naik tidak meningkatkan kapasitansi oleh memasukkan dirinya antara pelat seperti dalam kasus bahan non-konduktif. Namun, meningkatkan kapasitansi dengan membawa lebih dari pelat tanah di kontak dengan isolasi probe. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keuntungan tambahan dari jenis pengukuran, adalah bahwa tidak hanya kapasitansi diukur, tetapi juga disederhanakan karena pengukuran tidak tergantung pada konstanta dielektrik dari bahan proses.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Seleksi dan Ukuran</b></span> </div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">bahan proses non-konduktif akan meliputi hidrokarbon, minyak, alkohol, kering padatan atau mirip. Proses cairan yang berbasis air dan asam dapat dianggap sebagai konduktif. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jika konduktivitas rendah melebihi ambang batas tertentu, maka setiap perubahan di daerah tersebut antara probe dan dinding tidak akan terdeteksi. Sebuah kriteria numerik yang bermanfaat adalah yang material dengan dielektrik relatif konstan 19 atau lebih, atau konduktivitas 20 ohm mikro atau lebih, dapat dianggap konduktif. Jika tidak pasti, proses material harus dianggap sebagai konduktif. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Untuk aplikasi konduktif, probe kapasitif perlu diisolasi. Ini adalah biasanya dilakukan dengan Teflon. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Screening probe mencegah penumpukan bahan atau kondensasi di sekitarnya dari proses koneksi. Probe yang telah aktif membangun-up kompensasi untuk batas switching membatalkan efek dari membangun-up di probe. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ada beberapa versi dari desain probe bahwa account untuk konduktivitas dan build-up. Berikut adalah daftar dari beberapa keuntungan ketika memilih probe tertentu.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Jenis: </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Wikipedia pengukuran kapasitif umumnya dilakukan pada proses non-konduktif material. Dalam sizing aplikasi untuk kesesuaian, salah satu keprihatinan adalah konduktivitas material. Masalah muncul ketika menggunakan bahan konduktif seperti ini menghubungkan pelat bersama (suatu arus pendek). Sebagai kapasitansi bergantung pada isolasi (atau dielektrik), maka kemampuan untuk mengukur kapasitansi terganggu. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dalam aplikasi konduktif, bahan proses didasarkan oleh kontak tersebut dengan dinding kapal. Isolasi saja (atau dielektrik) adalah insulasi pada kapasitif probe. Dengan demikian, bahan proses naik tidak meningkatkan kapasitansi oleh memasukkan dirinya antara pelat seperti dalam kasus bahan non-konduktif. Namun, meningkatkan kapasitansi dengan membawa lebih dari pelat tanah di kontak dengan isolasi probe. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keuntungan tambahan dari jenis pengukuran, adalah bahwa tidak hanya kapasitansi diukur, tetapi juga disederhanakan karena pengukuran tidak tergantung pada konstanta dielektrik dari bahan proses. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">1 - Probe tanpa tabung tanah: </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Untuk cairan konduktif </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Untuk cairan viskositas tinggi </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Untuk padatan massal </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">2 - Probe dengan tabung ditumbuk: </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Untuk cairan non-konduktif </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Untuk digunakan dalam kapal agitator </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">3 - Probe dengan skrining: </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Untuk nosel panjang </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Untuk kondensasi di atap kapal </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Untuk membangun-up di dinding kapal </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">4 - Probe dengan skrining sepenuhnya terisolasi </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Ekstra proteksi terutama untuk bahan korosif </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">5 - Probe dengan kompensasi aktif membangun-up untuk deteksi batas </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Untuk konduktif build-up pada probe </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">6 - Probe dengan kelenjar gas ketat </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Untuk tangki gas cair (jika diperlukan) </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Mencegah kondensasi membentuk di probe di bawah suhu ekstrim </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">perubahan </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">7 - Probe dengan suhu spacer </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Untuk suhu operasi yang lebih tinggi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Teknik Instalasi</b></span> </div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dalam prakteknya pengukuran tingkat kapasitif, kapasitor terbentuk dari dinding kapal, dan terisolasi probe dipasang pada dinding. Dalam kasus non-konduktif dinding (misalnya beton bertulang) tulangan besi tersebut cukup untuk bertindak sebagai satu piring dari kapasitor. Untuk tank plastik, pipa logam atau pemanggang ditempatkan di sekitar probe atau bahkan strip logam ditempatkan di luar tangki dapat digunakan. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dalam merancang suatu sistem pengukuran kapasitif, tiga area utama untuk dipertimbangkan adalah Mount, Permukaan dan Jarak. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Mount:</b></span> </div>
<div style="text-align: justify;">
<span style="font-size: small;">Nozel digunakan dalam pemasangan probe. Ini sering memiliki flensa dan membutuhkan perawatan untuk diambil untuk memastikan sedimen yang tidak dapat membangun-up dalam rongga sekitar flange. Kemungkinan endapan yang disimpan di nozzle tinggi. Hal ini juga persis mana probe paling sensitif, karena daerah terdekat antara probe dan kapal. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kondensasi juga masalah dan dapat terjadi di rongga hampir sama seperti kontaminan yang telah disebutkan. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kontaminasi nosel dapat dihindari dengan memproyeksikan probe ke dalam kapal. Salah satu metode yang umum adalah untuk mengganti sambungan tabung dengan soket berulir, yang dilas langsung ke dinding kapal. Konektor sekrup pada probe cocok langsung ke ini, dan probe akan proyek langsung ke kapal. Jenis ini pas juga lebih murah. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Cara lain untuk menghindari kontaminasi nosel adalah dengan menggunakan probe yang tidak aktif di sepanjang bagian batang. Dalam kasus-kasus di mana tidak mungkin untuk memodifikasi nozzle yang ada karena tekanan tinggi, maka probe dengan panjang tidak aktif dapat digunakan. Dalam kasus seperti itu, bagian aktif probe dipisahkan dari daerah yang paling rentan terhadap kondensasi atau kontaminasi oleh bagian aktif. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Permukaan: </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Perubahan kapasitansi bisa sangat kecil pada aplikasi yang memiliki rendah dielektrik konstan atau probe pendek. Untuk meningkatkan perubahan kapasitansi dan akhirnya sensitivitas perangkat, kapasitansi dapat ditingkatkan.Meningkatkan area permukaan probe adalah cara mudah untuk meningkatkan kapasitansi. Karena permitivitas relatif tinggi mereka, cairan konduktif tidak memerlukan permukaan meningkat daerah.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Jarak: <br />
</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Perubahan kapasitansi juga dapat ditingkatkan dengan mengurangi jarak antara dua pelat kapasitor. Contoh paling umum dari ini adalah penggunaan tanah yang probe tabung yang menghilangkan situasi non-linear. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Isolasi: <br />
</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sekrup-pada bagian bos atau flens dari probe kapasitansi akan selalu terisolasi dari kapal tetapi batang probe itu sendiri dapat berupa penuh atau sebagian terisolasi. Dalam tingkat pengukuran analog, probe sepenuhnya terisolasi selalu digunakan untuk mencegah kapasitif arus pendek. Jika probe sebagian terisolasi digunakan untuk analog pengukuran dalam bahan konduktif, maka pembacaan 100% terjadi ketika bahan konduktif melengkapi rangkaian. Saklar batas tingkat dapat menggunakan kedua probe sepenuhnya terisolasi dan sebagian terisolasi. Sebagian probe terisolasi yang lebih murah dan memberikan perubahan yang lebih besar di kapasitansi. Sekali lagi, untuk cairan konduktif, hanya probe terisolasi sepenuhnya digunakan. Hal ini juga berlaku bahan yang dapat mencemari probe. Tingkat pengukuran Capacitive sangat cocok untuk limit deteksi dan berkesinambungan pengukuran tingkat cairan, pasta dan padatan curah cahaya. Capacitive sistem kerja handal dan akurat dalam suhu ekstrim (baik tinggi dan rendah), tekanan tinggi dan vakum, di mana ada penumpukan bahan, ledakan-daerah berbahaya dan sangat korosif lingkungan. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Aplikasi khas </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">alat ukur tingkat Capacitive digunakan untuk mendeteksi tingkat dalam silo, tank dan bunker, baik untuk batas deteksi dan pengukuran berkesinambungan. Ini instrumen biasanya digunakan di semua bidang industri dan mampu mengukur cairan serta bahan padat. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Keuntungan </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sangat cocok untuk cairan dan padatan massal </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tidak ada bagian yang bergerak </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Cocok untuk media yang sangat korosif </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Kekurangan </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Terbatas dalam aplikasi untuk produk perubahan sifat listrik </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">(Terutama kadar air) </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
Aplikasi Keterbatasan </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Umumnya, sistem kapasitansi tingkat memerlukan kalibrasi setelah instalasi, walaupun memang ada beberapa pengecualian. Mereka terbatas pada aplikasi di mana tingkat busa atau bahan proses lainnya dengan gelembung udara terjadi. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>3.10 Kepadatan Pengukuran </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kepadatan didefinisikan sebagai massa per satuan volume. gravitasi spesifik adalah unitless pengukuran. Ini adalah rasio kepadatan suatu zat kepadatan air, pada standar suhu. Istilah ini juga disebut sebagai kepadatan relatif. Pengukuran dan pengendalian kepadatan cairan bisa sangat penting dalam industri proses. Pengukuran Kepadatan memberikan informasi yang berguna tentang komposisi, konsentrasi bahan kimia atau padat dalam suspensi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kepadatan dapat diukur dalam sejumlah cara yang sama ke tingkat: </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tekanan hidrostatis </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Radiasi </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Getaran </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Diferensial tekanan </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Coriolis flowmeter massa juga mampu melakukan pengukuran kepadatan. </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.10.1 Hidrostatik Tekanan </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jenis pengukuran kepadatan bergantung pada ketinggian konstan cair dan langkah-langkah perbedaan tekanan. Sejak tingkat dapat bervariasi, prinsip operasi bekerja pada perbedaan tekanan antara dua elevasi tetap di bawah permukaan. Karena ketinggian antara kedua titik tidak berubah, setiap perubahan dalam tekanan adalah karena variasi kepadatan. Jarak antara titik-titik ini adalah sama dengan perbedaan tekanan kepala cair antara elevasi. Tetap ketinggian cairan untuk pengukuran kepadatan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.10.2 Radiasi </b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kepadatan pengukuran radiasi didasarkan pada peningkatan penyerapan gamma radiasi untuk peningkatan berat jenis material yang sedang diukur. Komponen utama dari sistem seperti ini adalah sumber gamma konstan (biasanya radium) dan detektor. Variasi radiasi melewati volume tetap mengalir cair diubah menjadi sinyal listrik proporsional oleh detektor.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jenis pengukuran sering digunakan dalam pengerukan dimana kepadatan lumpur</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">menunjukkan efektivitas kapal pengerukan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.10.3 Getaran</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Damping dari objek bergetar dalam cairan yang akan meningkat dengan densitas dari fluida meningkat. Sebuah objek bergetar dari sumber energi eksternal. Objek mungkin sebuah buluh tenggelam atau piring.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kepadatan diukur dari salah satu dari dua prosedur:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">1 Perubahan frekuensi getaran alami dapat diukur ketika objek adalah energi konstan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">2 Perubahan amplitudo getaran dapat diukur ketika objek menyerang secara berkala, seperti lonceng.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.10.4 Tekanan Diferensial</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">tank tingkat Konstan overflow yang paling sederhana untuk mengukur karena hanya satu diferensial pemancar tekanan diperlukan. Namun aplikasi dengan tingkat atau tekanan statis variasi membutuhkan kompensasi. Dalam sebuah tangki terbuka atau tertutup dengan tingkat bervariasi atau tekanan, kaki basah bisa diisi dengan cairan segel lebih berat daripada proses cair.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b>Suhu Efek</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Peningkatan suhu menyebabkan ekspansi cairan, mengubah kepadatannya. Tidak semua</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">cairan berkembang pada tingkat yang sama. Sebuah pengukuran berat jenis harus diperbaiki untuk efek temperatur agar benar-benar akurat dalam kerangka acuan kondisi kerapatan dan konsentrasi, meskipun dalam kebanyakan kasus ini tidak praktis.Dalam aplikasi di mana berat jenis adalah sangat penting, adalah mungkin untuk mengendalikan suhu ke nilai konstan. Koreksi yang diperlukan untuk dasar suhu kemudian dapat dimasukkan dalam kalibrasi instrumen kepadatan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.11 Instalasi Pertimbangan<br />
Atmosfer Kapal</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kebanyakan instrumen yang terlibat dengan deteksi level bisa dengan mudah dikeluarkan dari kapal. Top pemasangan perangkat penginderaan juga menghilangkan kemungkinan proses cairan memasuki perumahan transduser atau sensor seharusnya menimbulkan korosi atau probe atau nosel terdiam.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Banyak tingkat pengukuran perangkat memiliki keuntungan tambahan yang mereka dapat</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">diukur secara manual. Ini menyediakan dua faktor penting:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pengukuran masih mungkin dalam hal kegagalan peralatan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Kalibrasi dan cek point dapat menyediakan informasi operasional penting</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Salah satu kriteria instalasi umum untuk alat deteksi titik adalah bahwa mereka harus dipasang pada tingkat aktuasi, mempresentasikan masalah aksesibilitas.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pressurised Kapal Dua pertimbangan utama berlaku dengan perangkat pengukuran tingkat di bertekanan kapal:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Fasilitas untuk melepas dan memasangnya saat kapal tersebut bertekanan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Peringkat tekanan dari peralatan untuk layanan ini.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kapal Pressurised juga dapat digunakan untuk mencegah emisi buronan, di mana gas inertseperti hidrogen pressurises bahan proses. Kompensasi dalam tingkat perangkat harus juga diperhitungkan sebagai perubahan tekanan kepala. Keakuratan alat pengukur dapat tergantung pada hal berikut:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Gravitasi variasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Suhu efek</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Konstanta dielektrik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Juga kehadiran busa, uap atau buih menumpuk di transduser mempengaruhi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">kinerja.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
3.12 Dampak terhadap Loop Control Keseluruhan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tingkat peralatan penginderaan umumnya cepat merespons, dan dalam hal otomatis</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">kendali kontinyu, tidak menambahkan banyak lag ke sistem. Ini adalah praktik yang baik meskipun, untuk mencakup batas beralih tinggi dan rendah ke kontrol sistem. Jika instrumen yang tidak gagal atau keluar dari kalibrasi, maka proses informasi dapat diperoleh dari batas tinggi dan rendah. Terlepas dari keras kabel sirkuit keselamatan, itu adalah praktik yang baik untuk menggabungkan informasi ini ke kontrol sistem.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><b><br />
</b><b>3.13 </b><b>Teknologi Masa Depan</b></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Biaya peralatan penginderaan bukan merupakan pertimbangan utama dibandingkan dengan </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">ekonomi untuk mengendalikan proses. Ada karena itu permintaan untuk di tingkat akurasi peralatan pengukur Model baru menggabungkan sarana yang lebih baik kompensasi, namun belum tentu baru teknologi. Misalnya, memasukkan detektor kompensasi temperatur di penginderaan tekanan diafragma memberikan kompensasi dan bertindak alternatif untuk remote tekanan segel. Hal ini menjamin ketepatan dan stabilitas pengukuran. Tuntutan yang lebih besar dalam efisiensi pabrik mungkin memerlukan peningkatan akurasi perangkat, bukan hanya untuk pengukuran yang sebenarnya, tetapi juga untuk meningkatkan jangkauan operasi. Jika batas keselamatan yang ditetapkan sebesar 90% karena ketidakakuratan dengan perangkat penginderaan, maka kisaran meningkat dapat dicapai dengan menggunakan peralatan yang lebih akurat Tuntutan juga dikenakan pada proses agar sesuai dengan peraturan lingkungan. Akuntansi akurat bahan membantu mencapai hal ini. Seperti teknologi sebagai RF ultrasonik masuk atau meminimalkan biaya kepatuhan lingkungan ini. Masalah terjadi pada mencoba merasakan tingkat kapal yang ada yang mungkin non-logam. Sensor RF kabel fleksibel memiliki unsur tanah yang tidak terpisahkan yang menghilangkan kebutuhan untuk referensi tanah eksternal ketika menggunakan sensor untuk mengukur tingkat memproses bahan dalam pembuluh nonlogam.</span></div>
</div>
lahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.com1tag:blogger.com,1999:blog-7316700808030502240.post-42353824220246949012010-10-16T06:49:00.001-07:002012-03-17T19:53:48.032-07:00Orifice Plate<div dir="ltr" style="text-align: left;" trbidi="on">
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Berbagai
jenis primary element yang tersedia dipasaran untuk DP flowmeters salah satunya
adalah orifice plates, venturi tube, flow nozzle, pitot tube, anubar tubes, elbow
taps, segmental wedge, V-Cone dan Dall Tube.</span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Jenis
yang paling banyak digunakan adalah orifice plate, namun element lain menawarkan
beberapa kelebihan untuk aplikasi tertentu. Kelebihan dan kekurangan untuk
berbagai jenis element tersebut dapat dilihat di bawah.</span></div>
<a name='more'></a><span style="font-size: small;"><br /></span><br />
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-size: small;"><b><span style="font-family: 'Times New Roman', serif; line-height: 150%;">Orifice
Plates</span></b></span></div>
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<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Suatu
plate berlubang dimasukkan ke dalam pipa dan ditempatkan secara tegak lurus
terhadap flow stream. Ketika fluida mengalir melewati orifice plate tersebut
maka menyebabkan peningkatan kecepatan dan penurunan tekanan. Perbedaan tekanan
sebelum dan setelah orifice plate digunakan untuk mengkalkulasi kecepatan
aliran (flow velocity).</span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0.0001pt; text-align: justify;">
<span style="font-size: small;"><br /></span></div>
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<span style="font-size: small;"><img alt="" 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" /></span></div>
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<span style="font-size: small;"> </span><span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Gambar
Orifice Plates</span></div>
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<span style="font-size: small;"><br /></span></div>
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<span style="font-size: small;"><b><span style="font-family: 'Times New Roman', serif; line-height: 150%;">1)
Orifice Plate Plate Calculation</span></b></span></div>
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<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Kalkulasi
untuk orifice plate mengacu pada standard :</span></div>
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<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">·
API “Manual of Petroleum Measurement Standards”, Chapter 14.3 ANSI/API 2530
(AGA Gas Measurement Committee Report No. 31).</span></div>
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<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">·
L.K. Spink, “Principles and Practice of Flow Meter Engineering, nineth edition.
L.K. Spink sekarang ini tidak diterbitkan lagi dan digantikan oleh R.W. Miller,
“Flow Measurement Engineering Handbook”, first edition, McGraw-Hill Book Co.,
Inc., New York, U.S.A.</span></div>
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<span style="font-size: small;"><br /></span></div>
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<span style="font-size: small;"><b><span style="font-family: 'Times New Roman', serif; line-height: 150%;">Persamaan
Bernoulli : </span></b></span><span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Hukum kekekalan energi menyatakan bahwa bila
tidak ada perpindahan panas dan kerja yang dilakukan, maka energi fluida
disetiap titik sepanjang pipa akan tetap konstan. Dari prinsip kekekalan energi
ini dapat diturunkan persamaan Bernoulli. Persamaan energi aliran persatuan
volume untuk fluida yang tidak termampatkan <i>(incompressible), </i>adalah :</span></div>
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<span style="font-size: small;"><i><span style="font-family: 'Times New Roman', serif; line-height: 150%;">½
ρ V² + Ps + ρ g h = konst</span></i></span><span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">ant</span></div>
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<span style="font-size: small;"><br /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0.0001pt; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Suatu
aliran fluida yang melewati suatu penghalang orifice plate akan mengalami
penurunan tekanan <i>(pressure drop) </i>pada orifice tersebut. Perubahan ini
dapat digunakan untuk mengukur flowrate dari suatu fluida.</span></div>
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<span style="font-size: small;"><br /></span></div>
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<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Untuk
mengkalkulasi flowrate dari suatu aliran fluida yang melintas suatu orifice
plate, maka sepanjang kecepatan aliran fluida adalah di bawah kecepatan
subsonic (V < mach 0.3), maka persamaan <i>Incompressible Bernoulli’s </i>di
atas dapat digunakan, sehingga :</span></div>
<div class="MsoNormal">
<span style="font-size: small;"><img alt="" src="data:image/png;base64,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" /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Dimana
lokasi 1 adalah hulu <i>(upstream) </i>dari orifice, dan lokasi 2 adalah hilir <i>(downstream)
</i>dari orifice.</span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-size: small;"><b><span style="font-family: 'Times New Roman', serif; line-height: 150%;">Persamaan
Kontinuitas </span></b></span><span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">: persamaan ini menyatakan bahwa banyaknya
fluida yang memasuki penampang 1 (Q1) sama dengan banyaknya fluida yang keluar
penampang 2 (Q2), yang berarti :</span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-size: small;"><i><span style="font-family: 'Times New Roman', serif; line-height: 150%;">V1
A1 = V2 A2</span></i></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0.0001pt; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Dari
persamaan <i>Persamaan Bernoulli </i>dan <i>Persamaan Kontinuitas </i>dapat diturunkan
persamaan yang menghubungkan antara debit aliran (Q) dengan beda tekanan statis
antara upstream dan downstream (p1- p2). Total head pada kedua tempat tersebut
sama.</span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0.0001pt; text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0.0001pt; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Untuk
fluida yang tidak termampatkan, hubungan antara laju aliran (Q) yang diukur
dengan beda tekanan (p1 - p2) adalah :</span></div>
<div class="MsoNormal">
<span style="font-size: small;"><img alt="" src="data:image/png;base64,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" /></span></div>
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<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Pemecahan
untuk flowrate volumetric (Q), adalah :</span></div>
<div class="MsoNormal">
<span style="font-size: small;"><img alt="" src="data:image/png;base64,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" /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Persamaan
di atas hanya dapat diaplikasikan untuk aliran yang sempurna <i>(laminar</i>, <i>inviscid
</i>atau <i>non viscous). </i>Untuk aliran yang real (seperti air atau udara),
karakteristik viscosity dan turbulence berpengaruh dan mengakibatkan konversi
energi kinetik ke dalam panas. Untuk efek tersebut, suatu <i>discharge
coefficient (Cd) </i>diperkenalkan ke dalam persamaan tersebut di atas untuk
secara garis besar mengurangi flowrate (Q).</span></div>
<div class="MsoNormal">
<span style="font-size: small;"><img alt="" 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" /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Oleh
karena profil aliran yang nyata pada lokasi 2 (downstream) dari orifice adalah
sangat kompleks, maka dengan demikian dibuat suatu nilai yang efektif untuk
mengganti A2 yang tidak pasti, yaitu flow coefficient (Cf),</span></div>
<div class="MsoNormal">
<span style="font-size: small;"><img alt="" src="data:image/png;base64,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" /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Dimana
Ao adalah dari orifice. Sebagai hasilnya, persamaan <i>flowrate volumetric (Q) </i>untuk
flow yang real, adalah :</span></div>
<div class="MsoNormal">
<span style="font-size: small;"><img alt="" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAL4AAABNCAIAAACXEEl9AAAPfklEQVR4nO2daVBTVxuA0850aq3tTKejtlJqf6gVSiUBRDahILsDTiUsChrWBMIiIQaQQAgYlgYhFKGaAAmKWllcoLKKVkRCCGsRUtogIotFIIjUovAn34/TZjKB8GESkkLP84s563vDw829577nghBDIAqB0HQAkLUKVAeiIFAdiIJAdSAKAtXRPHNzc39pgvn5+fn5eYXDhupoEk9PT09Pz927d+/atetLtRMfH0+hUBQOHqqjSZBIJBKJzM7Orqur+03tjI+Pj4+PKxw8VEeTQHUgCmJsbGxsbFxZWXn79m2oDuQNAOpcu3atqqoKlExNTU1OTj79h/87wszMzMzMzCqHuTRQHU0C1YEoiImJiYmJCVBnenp6eno6KSnJyspq586dX375ZVBQUFtbW1tb25J9Hz169OjRI1NTUwMDAzWHDYDqaAyRSFRSUoJCoW7evFlXV2doaGhoaJient7Y2DgxMTE6Onr16lU7O7umpiY+n7+4+4MHDx48eGBqavr999+Pjo6qP36ojsaA6kAU5ODBgygU6u23366rq+NyudbW1tbW1mw2u6urC6gzNjY2NjZmYmJCp9MfP34s3Xd4eJjNZhsYGNTU1ERFRenr66s/fqiOxrCystq9ezcCgaiurm5qapr/h66uLtAAqPPZZ59RqdSBgQHpvvfv3z979qyDg0NbW9vp06ddXV2HhoaGhoZevXr16tWr33//va+vTyAQTE5OTk1N9fb29vb2Dg0NjY2NqTB+qI7GsLGxMTIy2rZtW2NjY0dHh0QdSYOOjo6Ojg4HB4fc3NyRkRFQCBZjHBwcTpw4IRKJRCJRS0tLTU2Njo6Ojo6OQCAQCATOzs5fffWVjo6Ovb19QkJCQUGBrq6uq6trUlLS6Oioqr7doDoaQ0adxQ2gOpClMTMzCwwMvH79+vXr1xer09nZyWKxbGxsBALB4OCgRJ3GxsbGxkZvb+/09PS5ubm5ublff/2Vx+NZW1uXlpY+evRIIBDMzs52d3fn5+e/8847e/fuJRKJCwsLNTU1NBrN3t7e3t5eJfFDdTSGmZlZUFBQRUVFRUWFdDk42WAwmPj4ePDEYHBwEFSJRKLbt29raWk1NzeLRCKJOs3Nzc3NzUePHt21a5dYLObz+YmJiZs2bcJgMP7+/kCdCxcupKammpqampqaqiR+qI7GWLk6kioZdSTly6sD2kB11g/gC+vGjRs3btyQFLa1tZWXl9va2tbX1/f390vUWVhYWFhY6OnpuXjxopOT08OHD//8809JL3APRSKRwsLCBgYGuFxuSkoKuPrx9/efnZ2dnZ29dOlSXFxcSEhISEiISuKH6mgMGXV6enp6enqoVCqJRAIPsPr7+0H5H3/8MT8///LlSzwev2PHDnnqPHz4sKSkRE9PLzMzk8FgEAgEAoHw4sWL0dHRxMREAoGAx+P/verMz8+Pj49XSdHT0/Pw4UPVziINj8fj8Xj19fWSGcVicXd3d3d399OnT+fm5lQ10czMzMjISG9vr6oGlFFHW1tbW1sbi8X+8MMPtbW11dXVlZWVZWVlW7ZsiYuLEwqFlZWVtra2KBTqxx9//Omnn6qrq6U/5+rqajabHRERgUAgtLW1MRhMQ0NDVVUVi8WiUqlYLBaLxeLxeFUFL4bqrJx1oI6qIgeoTB2QKX3jxo3Y2FhjKTw9Pc+dO9fe3q6qiQASY4qKig4dOrR//34wXU5OzrVr1+rr699//30ajQbO+UoCEhsiIyM9PDwcHR2VHxBgaWmJw+HAzblYLA4MDAwMDHR0dDQ1Nd23bx84nH379jk5OTGZzL6+PldX1wMHDlhYWEhqZTAzMzM3NzcxMdm4ceOWLVtMTEyMjY09PDwIBMK/V525ublnz54lJydHREQEBgZKH09tbW1SUlJAQEBnZ2dnZ6dKpmttbeXxeGg02s7Ozs3NbXBwcHBwEEzn5eWFQqHeeustCwuL4uLiiYkJJed6+vQpn8/PyclBIpEWFhYeHh7Kxw8+CltbWzc3N8lZRyXqXLx48eLFi1QqNTY2Vlod5WNezKqoI12lNnVA1dpVRyVIq6OqMeWhAnXAYkNGRgYOh8PhcIvVOXfuXGZmpo2NjY2NjfLTicVisPUEfOiL1dm2bZu2trZQKBQKhcqrU1xcTKPRbG1ti4uLExISnJyclA5fbGZmZmZmhkKh8Hg8uLFScsAXL168ePGisLDw6NGj77333oULF+7fv698nMujAnV4PB4ej//000+BOosb5ObmZmRkODs7Ozs7y1T98ssvt27dKpSDzIIY4P79+3l5eT4+Pq2tra2trYunCw0NDQ8PHx4eHh4eVua4RkZGRkZGWCxWSkoKnU5ns9kxMTGLD0EBgDosFuvWrVsqUefx48ePHz+Ojo62t7d3cXHBYrFhYWHKx7k8qlRHXgOojgzS6ig/mngtqgOe3Obm5iYlJRGJRHnNWCwWg8GwtLS0tLSUqbp58yaFQvGQw927d+/evSvTBYlEBgcHV1ZWKq8OELSioqK2tnZxbXl5eXl5uaenp4WFBZ1O53A40dHRKrnDMjc3Nzc3P3v2bGlpqfKjideiOk1NTU1NTbq6ujt27JCnzsDAwJUrV8hkMp1Op9PpMrW9vb11dXXFcgDXKzJdLCwswsLCysrKlIlcLBYzGAwKhaKvr7958+ZNmzbJ1M7OzgoEAi8vr507d1pZWZ09e9bb29vNze3bb79Vcl7xKqijEZRSp6WlpaWlxcjIaM+ePfLa5Ofn+/v7GxoaLqlOeXl5TEyMixzq6+vr6+tluiivTl5eXl5eXnp6ek5Ozvj4+Pnz5xMSEiS14HRVWlqakJDg5uZ25MgRDw8PFxcXJBJpbW2tkjssGXWuXLnCZDLPqBE2m11bW7vkuXblqE+dJWuhOuL/pjpcLpfL5e7bt2/JrUAgWzYsLIxCoWRnZy85ggLq6Onp4XA4eReYbDb7559/fvbsmUw5WOxmMplUKjU8PHzDhg0BAQFFRUWL1QHr+keOHPn888+l1SkqKiKRSCBPamBgoK2tLTU1NTU1tbCwkM/nL7lpQR4SdcAfwKlTp4KCgg6rkfDw8Nzc3Nzc3JXHvBil1AEXqh999FFAQIBkXUty7RwTE4PD4dLT07/77jt56ijAmTNnKBRKeHi4zJZpJpPJZDJ9fX1zc3OHhoZkeoHEg6ioKB8fH3d3dwQCYWVltfgZ8szMzNTUVHJycnZ2NpPJlK66cOFCYmIiBoMRCoU5OTkBAQHu7u7u7u4+Pj6hoaH19fWNjY0rPASZsw5UZzl1lJlFhvWnzhpFKXXAL8/Hx+frr7/evHkzmUwmk8mnTp0iEonHjx8nEAhAbZWrk5KSkpKSEhISQiQSyf9AJBL9/PwGBgamp6eXUaewsLCgoCA5OTk5OVmiDsiPSU1NxWKxzs7OCAQCj8eDp5L9/f11dXVkMtnOzm7v3r179uyJj4/PyspiMplAHSKRSCQSjx075u3tvcJDgOr8rU5/f39kZOQXX3xBIpGioqJiY2MZDAZINVL+rLgkKSkpWVlZWVlZRCLR9x/OnDnz8uXLly9fTk9Py+soFAqTk5O3bt0K1JGUP3ny5MmTJxEREQEBAVgsNjIykkqlgvvB7u7usrIyX19fHA53+PBhc3NzNBqNRqMl5ySgTnBw8JIr6UsC1fkbeeooP/IyLKPOMr0k6siUK6COpC9UR3F6e3txONyWLVtoNBqHwykvLwfqgLvcqKgoOp1eVFSk/ETSKKaOSCTKyMjQ0tKSebfICtUpKCg4f/68q6urq6urpO/JkydPnjzp4+Nz9OhRmenu3btXVlZGo9Ha29ulH1QZGBgYGBhkZGQUFxer5uPQBEqpAx5ZR0VFRUdHk8nk0NDQ0NBQSQJsSEgIHo8PDQ1NS0tjs9mqilgxgCsMBiM1NTUrK+v169evX79+00HS0tJoNJqjo6PkcURDQ0NBQcGxY8euXbsmvV4A7vAdHBy2bduGQCCysrJYLBao4nA4eXl5kZGR9+7d6+vrU8nRaQSl1AGPTrKzszMzM4E6U1NT7e3tJ06cOHHixOnTp0H6yL9BHbDIhEQiP/nkE4XV4fP5XC43MjISj8eDvDtfX18ymVxZWVlZWSmtDriC/vjjjxEIBAKBOH/+/KVLl0AVEok8ePAgSA6E6mRnZmaCkiXVUUWcyiKtjsKDLK+OdMsVqqPUIWma/4o6IBkKhULFxsZKb357I/h8PsgDyc/PJ5FIJBKpvLz8zp07i9VpaGhoaGjIy8sLDg7W1dVlsViSy5pvvvnGw8Pj8uXLly9fVvaoNMp63of1119/jY6O0un0vr4+Ho8XHh7OYDAaGxsV+KqSsKQ6i5tJ1PHz8/Pz87OysqLRaGBjOVRnDbAa6rwpUJ01yfPnz3k8HgKB0NfX9/LyAksGalYH7HPYsGHDoUOHOByOWHXqeHt7e3t7u7u7BwUFLZNnt3qsc3U4HA6Hw8nJycnKylLDQuViwH+BePfdd9Fo9NWrV8VKqzM1NTU1NZWWlhYdHZ2UlJSamkqlUslkcmJiYmJiomqDX571rI5YLJZWRyMBQHXWKhpXB7y+xNTUNCQkBNyfW1lZubu7K6zOxMTExMSEkZHRxo0bgTq//fYbl8vV0tLS0tJSdfjLsc7V0ThAHR8fHwcHh/379/f09MTHx2MwGMXUEYlEHR0dWCw2Pz+/paUFvDmlvb29oaFBT09PT09vNQ5BHlAddXD8+HF9ff0PPvigqqoqOjo6KChIMXWePHlSUVGxdevWrVu3StQRCARNTU3bt2/fvn37KsQuF6iOOlgNdSSFUJ31DBqN1tXV/fDDD5ubm2NjYzEYTFFRkQLZBJIXwnV1dYHX5ILcam9v7yXzuFcVqI466O7uTk9Pt7S0NDY2JhKJV65cAa/TXvkI4J+P5OTkEAgEDofj6el54MCB/fv3Ozo6JiUl3bp1C6qzPlGDOqsXvDygOuqgu7sbg8F4eXkhEIjo6Oiampo3VQe0x2AwLi4uz58/v3PnzvXr10tKSmpqampra6E66xkvL6/Dhw8jEIioqCiZt92uBJB47+fnd+jQocnJycnJSWl1ViPg/wtUR02oXJ3VCPKNgOqoCTQa7erqikAgiESiTHLPSgBLOAMDA/39/eDn1QjyjYDqqAmhUNjV1WVoaBgXF6dA+htU57+LUCi0s7Ozs7OjUCiFhYWaDkcFQHXUB1QHoiBg79H4+Pgy+1PXEFAd9QHVgUDEYqgORGGgOhAFgepAFASqA1EQqA5EQaA6EAWB6kAUBKoDUZD/AW1NVZNPijAuAAAAAElFTkSuQmCC" /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-size: small;"><i><span style="font-family: 'Times New Roman', serif; line-height: 150%;">Flow
coefficient (Cf) </span></i></span><span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">didapatkan dari eksperimen (dapat
dilihat pada table yang sudah disusun pada buku-buku reference), nilai Cf terbentang
dari 0.6 sampai 0.9 untuk kebanyakan jenis orifice. Oleh karena itu tergantung
pada orifice dan diameter pipa (seperti halnya Reynolds Nomors). Biasanya di
dalam table Cf adalah perbandingan diameter orifice dan diameter inlet pipa,
kadang-kadang didefenisikan sebagai β, yaitu :</span></div>
<div class="MsoNormal">
<span style="font-size: small;"><img alt="" src="data:image/png;base64,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" /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Mass
flowrate (Q mass) dapat ditentukan dengan perkalian flowrate</span></div>
<div class="MsoNormal" style="line-height: 150%; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">volumetric
(Q) dengan fluid density (ρ), yaitu :</span></div>
<div class="MsoNormal">
<span style="font-size: small;"><img alt="" src="data:image/png;base64,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" /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0.0001pt; text-align: justify;">
<span style="font-size: small;"><b><span style="font-family: 'Times New Roman', serif; line-height: 150%;">Catatan
:</span></b></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">-
General Process Flow Measurement :</span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">β
ratio = d / D, didalam batas 0.25 – 0.75</span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">-
Custody Transfer Flow Measurement :</span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">β
ratio = d / D, didalam batas 0.4 – 0.6 (lebih disukai mendekati 0.5)</span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Untuk
fluida yang termampatkan <i>(compressible), </i>berlaku hubungan</span></div>
<div class="MsoNormal" style="line-height: 150%; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">sebagai
berikut :</span></div>
<div class="MsoNormal">
<span style="font-size: small;"><img alt="" src="data:image/png;base64,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" /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Dimana
:</span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">G
= Laju aliran massa</span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Y
= Faktor ekspansi, tergantung pada kalor jenis dan tekanan fluida.</span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-size: small;"><b><span style="font-family: 'Times New Roman', serif; line-height: 150%;">2)
Jenis-jenis Orifice Plate</span></b></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">·
<b>Concentric Orifice</b></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Letak
lubang penghalang konsentris dengan penampang pipa. Digunakan untuk mengukur
volume gas, liquid dan steam dalam jumlah yang besar.</span></div>
<div class="MsoNormal">
<span style="font-size: small;"><img alt="" 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" 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" /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;"> Gambar
Orifice Plate jenis Concentric</span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-size: small;"><b><span style="font-family: 'Times New Roman', serif; line-height: 150%;">Kelebihan</span></b></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">·
Dapat digunakan pada berbagai ukuran pipa (range yang lebar).</span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">·
Ketelitian (accuracy) baik, jika plate dipasang dengan baik.</span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">·
Harga relative murah.</span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-size: small;"><b><span style="font-family: 'Times New Roman', serif; line-height: 150%;">Kekurangan</span></b></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">·
Rugi tekanan (pressure drop) relatif tinggi.</span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">·
Tidak dapat digunakan untuk mengukur laju aliran “slurry”, karena cenderung
terjadi penyumbatan.</span></div>
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<span style="font-size: small;"><br /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">·
<b>Eccentric Orifice</b></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Titik
pusat lubang penghalang tidak satu garis pusat dengan pusat penampang pipa.
Pemasangan lubang yang tidak konsentris ini dimaksud untuk mengurangi masalah
jika fluida yang diukur membawa berbagai benda padat (solid).</span></div>
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<span style="font-size: small;"><img alt="" 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" /></span></div>
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<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;"> Gambar
Eccentric Orifice</span></div>
<div class="MsoNormal" style="line-height: 150%; text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">·
<b>Segmental Orifice</b></span></div>
<div class="MsoNormal" style="line-height: 150%; margin-bottom: 0cm; text-align: justify;">
<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Segmental
orifice plates digunakan terutama pada service yang sama dengan eccentric
orifices, sehingga kelebihan dan kekurangan adalah kurang lebih sama.</span></div>
<div class="MsoNormal">
<span style="font-size: small;"><img alt="" src="data:image/png;base64,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" /></span></div>
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<span style="font-family: 'Times New Roman', serif; font-size: small; line-height: 150%;">Gambar
Segmental Orifice</span></div>
</div>lahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.com0tag:blogger.com,1999:blog-7316700808030502240.post-60171563113908100222010-10-02T08:09:00.000-07:002011-09-05T18:18:53.616-07:00Bab 2: Practical Instrumentation for Automation and Process Control - ISA<div dir="ltr" style="text-align: left;" trbidi="on">
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<span style="font-size: small;">2.1 Prinsip Pengukuran Tekanan</span></div>
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<span style="font-size: small;">2.1.1 Bar dan Pascal</span></div>
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<span style="font-size: small;">Tekanan didefinisikan sebagai gaya per satuan luas, dan dapat diukur dalam unit seperti psi (Pon per inci persegi), inci air, milimeter merkuri, pascal (Pa, atau N / m²) atau bar. Sampai pengenalan satuan Si, ‘bar’ yang lebih sering digunakan. Bar setara dengan 100.000 N / m², yang merupakan satuan SI untuk pengukuran. Untuk menyederhanakan satuan, N / m² diadopsi dengan nama Pascal, disingkat Pa</span></div>
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<span style="font-size: small;">Tekanan cukup sering diukur dalam kilopascal (kPa), dimana 1000 pascal setara dengan 0.145psi.</span></div>
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<span style="font-size: small;">2.1.2 Absolute, Gauge dan Tekanan Diferensial</span></div>
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<span style="font-size: small;">Pascal adalah indikator untuk mengukur harga tekanan. Ketika tekanan diukur dalam keadaan vakum mutlak (tidak ada kondisi atmosfer), maka hasilnya dalam pascal (Mutlak). Namun ketika tekanan diukur pada keadaan dengan memperhatikan tekanan atmosfer, maka hasilnya akan disebut Pascal (Gauge). Jika gauge digunakan untuk mengukur perbedaan antara dua tekanan,hasilnya berupa Pascal (Diferensial).</span></div>
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<span style="font-size: small;">Catatan 1: praktek ini untuk menunjukkan tekanan gauge tanpa menentukan jenis, dan untuk menentukan absolut atau diferensial dengan menyatakan 'diferensial'atau 'mutlak'.</span></div>
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<span style="font-size: small;">Catatan 2: peralatan pengukuran yang lebih tua menggunakan psi (pound per square inci) untuk mengukur tekanan gauge da absolute sebagai psig dan psia. Perhatikan bahwa 'g' dan 'a' tidak diakui dalam simbol-simbol satuan SI, dan tidak lagi dianjurkan.</span></div>
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<span style="font-size: small;">Untuk menentukan diferensial dalam inci vakum merkuri psi adalah 2,036 (atau sekitar 2). Konversi lainnya yang umum adalah 1 bar = 14,7 psi.</span></div>
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<span style="font-size: small;">2.2 Sumber Tekanan</span></div>
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<span style="font-size: small;">2.2.1 Tekanan Statis</span></div>
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<span style="font-size: small;">Dalam keadaan atmosfer titik tertentu, tekanan statis diberikan sama ke segala arah. Tekanan statis adalah hasil dari berat semua molekul udara di atas titik jenuh.</span></div>
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<span style="font-size: small;">Tekanan statis tidak melibatkan gerakan relatif udara.</span></div>
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<span style="font-size: small;">2.2.2 Tekanan Dinamis</span></div>
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<span style="font-size: small;">Cukup sederhana, jika Anda memegang tangan Anda di angin yang kuat atau ke luar dari jendela pada mobil yang berjalan, maka tekanan angin kuat dirasakan karena udara mempengaruhi tangan Anda.</span></div>
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<span style="font-size: small;">tekanan kuat tersebut melebihi dan diatas (selalu dihasilkan) tekanan statis, dan</span></div>
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<span style="font-size: small;">disebut tekanan dinamis. Tekanan dinamis dikarenakan gerakan relatif. Tekanan Dinamis terjadi jika sebuah benda bergerak melalui udara, atau udara mengalir ke dalam tubuh</span></div>
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<span style="font-size: small;">Tekanan Dynamic tergantung pada dua faktor:</span></div>
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<span style="font-size: small;">- kecepatan tubuh relatif terhadap arus tersebut. Semakin cepat mobil bergerak atau semakin kuat angin bertiup, maka tekanan dinamis makin kuat yang dirasakan pada tangan Anda. Hal ini karena jumlah molekul udara yang lebih besar tiap detiknya</span></div>
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<span style="font-size: small;">- Kerapatan udara. Tekanan dinamis bergantung juga padakerapatan udara. Jika mengikuti arus udara, maka kerapatannya kecil, sehingga gayanya kecil dan maka tekanan dinamisnya akan kecil.</span></div>
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<span style="font-size: small;">2.2.3. Tekanan Total</span></div>
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<span style="font-size: small;">Di Atmosfir, beberapa tekanan statis selalu diberikan, tapi untuk tekanan dinamis akan diberikan jika ada gerakan tubuh relatif terhadap udara. Tekanan Total adalah jumlah dari tekanan statis dan tekanan dinamis.</span></div>
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<span style="font-size: small;">tekanan Total juga dikenal dan disebut sebagai dampak tekanan, tekanan pitot atau bahkan tekanan ram.</span></div>
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<span style="font-size: small;">2.3 Tekanan transduser dan elemen - Mekanikal</span></div>
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<span style="font-size: small;">- Tabung Bourdon</span></div>
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<span style="font-size: small;">- Helix dan tabung spiral</span></div>
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<span style="font-size: small;">- Spring dan bellow</span></div>
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<span style="font-size: small;">- Diafragma</span></div>
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<span style="font-size: small;">- Manometer</span></div>
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<span style="font-size: small;">- Single dan Double bel pembalik</span></div>
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<span style="font-size: small;">2.3.1 Tabung C-Bourdon</span></div>
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<span style="font-size: small;">Tabung Bourdon bekerja pada prinsip sederhana bahwa tabung bengkok akan berubah bentuknya saat terkena variasi tekanan internal dan eksternal. Sepertisaat diberikan tekanan internal, tabung menjadi lurus dan kembali ke bentuk aslinya ketika tekanan dilepaskan.</span></div>
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<span style="font-size: small;">Ujung tabung bergerak dengan perubahan tekanan internal dan mudah dikonversi dengan pointer ke skala. Link konektor digunakan untuk mentransfer gerakan ujung ke pergerakan sektor yang diarahkan. pointer ini diputar melalui pinion bergigi oleh sektor diarahkan.</span></div>
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<span style="font-size: small;">Jenis gauge ini mungkin memerlukan pemasangan vertikal (orientasi tergantung) untuk memberikan hasil yang benar. Unsur ini rentan goncangan dan getaran, yang juga dikarenakan massa tabung. Karena hal tersebut dan jumlah gerakan dengan jenis penginderaan,jenis ini rentan terhadap kerusakan, terutama di dasar tabung.</span></div>
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<span style="font-size: small;">Keuntungan utama dengan tabung Bourdon adalah ia memiliki operasional yang luas (tergantung pada bahan tabung). Jenis pengukuran tekanan dapat digunakan untuk rentang tekanan positif atau negatif, walaupun akurasi terganggu ketika dalam ruang hampa.</span></div>
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<span style="font-size: small;">Seleksi dan Ukuran</span></div>
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<span style="font-size: small;">Salah satu kriteria utama pada penyeleksian adalah ketika memilih tabung Bourdon untuk mengukur tekanan. Untuk aplikasi yang bergerak cepat dari proses tekanan, seperti system kendali ON / OFF, maka pengukuran transduser membutuhkan snubber internal. Mereka juga rentan terhadap kegagalan dalam aplikasi ini.</span></div>
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<span style="font-size: small;">Cairan yang diisikan pada perangkat adalah salah satu cara untuk mengurangi kebocoran pada elemen tabung.</span></div>
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<div style="text-align: justify;">
<span style="font-size: small;">Keuntungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Murah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Rentang operasi lebar</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Cepat tanggap</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sensitifitasnya baik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pengukuran tekanan langsung</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kekurangan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- hanya dimaksudkan untuk indikasi utama</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Non transduser linier, dilinierkan oleh mekanisme gear</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Histeresis pada peredaran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sensitif terhadap variasi suhu</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Terbatas ketika subjek terkena goncangan dan getaran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Aplikasi Keterbatasan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Perangkat ini harus digunakan di udara jika dikalibrasi untuk udara, dan digunakan dalam likuida jika dikalibrasi untuk likuida. Perawatan khusus yang diperlukan untuk aplikasi likuida di udara adalah meniupkan udara dari baris likuida.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jenis pengukuran tekanan terbatas pada aplikasi di mana ada masukan shock (gelombang tiba-tiba tekanan), dan dalam proses bergerak cepat.</span></div>
<span style="font-size: small;"><br /></span><br />
<div style="text-align: justify;">
<span style="font-size: small;">Jika aplikasi untuk penggunaan oksigen, maka perangkat tidak dapat dikalibrasi dengan menggunakan minyak. rentang yang lebih rendah biasanya dikalibrasi di udara. rentang yang lebih tinggi, biasanya 1000kPa, yang dikalibrasi dengan tester bobot mati (minyak hidrolik).</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span><br />
<span style="font-size: small;">2.3.2 Sepiral dan Tabung Spiral</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sepiral dan tabung spiral yang dibuat dari pipa menjadi bentuk sesuai penamaan mereka. Dengan satu ujung disegel, tekanan diberikan pada tabung menyebabkan tabung untuk meluruskan. Jumlah pelurus atau uncoiling ditentukan oleh tekanan yang diterapkan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kedua pendekatan menggunakan prinsip Bourdon. Bagian uncoiling tabung secara mekanik terkait dengan pointer yang menunjukkan tekanan diterapkan pada skala. Hal ini memiliki keuntungan ditambahkan dalam tabung C-Bourdon karena ada kerugian tidak ada gerakan karena link dan tuas.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tabung Spiral cocok untuk tekanan berkisar hingga 28.000 kPa dan tabung Pilin untuk rentang sampai 500.000 kPa. Tekanan penginderaan elemen bervariasi tergantung pada berbagai tekanan operasi dan jenis proses yang terlibat.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pemilihan spiral atau elemen spiral didasarkan pada rentang tekanan. Tingkat tekanan antara spiral dan tabung spiral bervariasi tergantung pada produsen. unsur tekanan rendah hanya memiliki dua atau tiga kumparan merasakan rentang tekanan yang diperlukan, namun pengindera tekanan tinggi mungkin memerlukan hingga 20 gulungan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Satu perbedaan dan keuntungan dari ini adalah peredam mereka miliki dengan cairan di bawah tekanan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keuntungan dan kerugian dari jenis pengukuran yang mirip dengan tabung CBourdon dengan perbedaan-perbedaan berikut:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keuntungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Meningkatkan akurasi dan sensitivitas</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tinggi overrange perlindungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kekurangan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sangat mahal</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Gambar 2.6</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">ElemenSpiral Bourdon</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Aplikasi Keterbatasan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Proses perubahan tekanan menyebabkan masalah dengan peningkatan dalam ukuran kumparan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ringkasan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sangat jarang digunakan lagi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">2.3.3 Pegas dan Bellows</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sebuah bellow merupakan unsur diperluas dan terdiri dari serangkaian lipatan yang memungkinkan ekspansi. Salah satu ujung Bellows adalah tetap dan bergerak lainnya dalam menanggapi tekanan diterapkan. Sebuah pegas digunakan untuk melawan gaya diterapkan dan hubungan yang menghubungkan ujung bellow ke sebuah penunjuk untuk indikasi. Bellow tipe sensor juga tersedia yang memiliki tekanan penginderaan di bagian luar dan kondisi atmosfer dalam.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pegas ini ditambahkan ke bellow untuk pengukuran yang lebih akurat. Tindakan elastis dari bellow sendiri tidak cukup untuk secara tepat mengukur kekuatan tekanan diterapkan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jenis pengukuran tekanan terutama digunakan untuk kontrol ON / OFF menyediakan kontak bersih untuk membuka dan menutup sirkuit listrik. Bentuk penginderaan menanggapi perubahan tekanan pneumatik atau hidrolik.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Aplikasi khas </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tekanan proses terhubung ke sensor dan diterapkan secara langsung ke bellow. Dengan meningkatnya tekanan, bellow mengerahkan gaya pada pegas utama. Ketika gaya ambang pegas utama diatasi, gerakan tersebut dipindahkan ke blok kontak menyebabkan kontak untuk menjalankan. Ini adalah pengaturan Trip.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ketika tekanan menurun, mata air utama akan menarik yang menyebabkan pisau pegas diferensial sekunder untuk mengaktifkan dan me-reset kontak. Ini adalah pengaturan Reset.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Gaya pada pegas utama adalah bervariasi dengan memutar sekrup rentang pengaturan operasi. Hal ini menentukan di mana perjalanan akan kontak.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Gaya pada pegas pisau diferensial sekunder bervariasi dengan memutar sekrup penyesuaian diferensial. Ini menentukan di mana kontak akan mengatur ulang.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Bellow paduan tembaga dapat digunakan pada air atau udara. cairan dan gas lainnya dapat digunakan jika non-korosif terhadap paduan ini. Gunakan stainless steel tipe 316 untuk cairan korosif lebih atau gas.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Diafragma, bellow atau piston?</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tekanan proses diterapkan pada aktuator yang dapat berupa diafragma, puputan atau jenis piston.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Piston kontrol digunakan untuk cairan hidrolik yang beroperasi pada tekanan tinggi. Mereka tidak dimaksudkan untuk digunakan dengan udara atau air sebagai ketepatan mereka terbatas.</span></div>
<span style="font-size: small;"><br /></span><br />
<div style="text-align: justify;">
<span style="font-size: small;">*cairan dan gas yang bersifat korosi harus sesuai dengan stainless steel bawah tipe 316.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Catatan: control perbedaan tekanan diberikan oleh copper alloy atau stainless steel bawah.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Aplikasi refrigerasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Control refrigerasi disusun dengan tambahan kelembapan pada pompa untuk menyaring getaran kuat yang disebabkan oleh reaksi timbale balik dari kompresor refrigerasi. Kontrol tekanan yang sesuai dengan fungsi snubber tambahan bisa mengurangi masa keaktifan ini.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Mengurangi masa keaktifan bisa menimbulkan getaran yang kuat menyebabkan bagian bawah berdecit pada waktu dipompa atau ketidak harmonisan gelombang karena beban pompa yang khusus. Kontrol refrigerasi biasanya digunakan sebagai standar dengan snubber getaran yang dibangun pada bagian inti bawah.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keuntungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- konstruksi sederhana</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- pemeliharaan mudah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- tidak mahal</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kerugian</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- mudah terpengaruh perubahan suhu</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- bagian bawah bekerja lebih keras</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- histerisis</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- perlindungan secara umumnya buruk</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keterbatasan aplikasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Aplikasi yang settingnya mendekati 0 psi, menggunakan sensor yang rata-ratanya sama dengan vacum.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Munculnya tekanan (getaran sementara) dapat muncul sistem utama sehingga bisa mencapai kondisi yang stabil. Munculnya tekanan biasanya muncul bersamaan dengan pada saat mesin atau sistem dinyalakan atau dimatikan (tidak melibihi 8x24 jam) dapat diabaikan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Bagian bawah dan fitting secara khusus disiapkan untuk menyediakan oksigen dan nitrogen oksida. Alat-alat ini diuji menggunakan oksigen murni, bagian bawah disumbat untuk melindungi dari kontraminasi, dan biasanya ada peringatan yang ditempelkan menghindari kontraminasi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ringkasan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Terutama digunakan untuk pengukran barometer, dan tidak sering digunakan, aplikasi control dibidang industry karena sifatnya yang rapuh dan rata-rata perlindungannya kurang.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">2.3.4 Diafragma</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Banyak sensor tekanan yang bergantung pada defleksi sebuah pengukuran diafragma. Diafragma adalah sebuah cakram yang fleksibel sehingga bentuknya bisa saja datar atau bengkok konsentris. Diafragma terbuat dari lembaran logam dengan dimensi toleransi tinggi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Diafragma bisa digunakan sebagai alat isolasi terhadap cairan pemproses atau aplikasi dengan tekanan tinggi. Bisa juga digunakan sebagai alat pengukur tekanan dengan transduser elektrik.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Diafragma sudah berkembang dan terbukti. Desain modern memungkinkan masalahhisterisis,gesekan, dan kalibrasi dapat diabaikan ketika alat-alat yang sesuai digunakan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sebagian besar digunakan pada pengatur udara untuk tanaman dan untuk aplikasi tombol ON/OFF.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Seleksi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Seleksi materi diafragma sangat penting dan sangat tergantung pada aplikasi. Tembaga beryllium memilki elastisitas yang bagus sedangkan NI-SPAN C memiliki koefisien elastisitas suhu yang sangat rendah.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Stainless steel dan insonel digunakan dalam aplikasi suhu yang ekstrim, dan sesuai dengan lingkungan yang bersifat korosi. Quartz merupakan pilihan terbaik untuk histerisis dan drift yang rendah.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ada dua tipe konstruksi operasi sensor diafragma, yaitu :</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- keseimbangan gerakan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- keseimbangan energy</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Desain keseimbangan gerakan digunakan untuk kontrol lokal, indicator secara langsung walaupun biasanya lebih mudah menimbulkan kesalahan gesekan dan histerisis.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Desain keseimbangan energy digunakan sebagai transmitter untuk meneruskan informasi dengan akurasi tinggi, walaupun tidak memilki kemampuan indikasi langsung.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keuntungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- memberikan isolasi dari cairan pemproses</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- bagus untuk tekanan rendah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- tidak mahal</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- jangkauan luas</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- terbukti dan terpercaya</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- digunakan untuk mengukur deferensial , atmosferik, dan meteran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">2.3.5 Manometer</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Bentuk paling sederhana manometer adalah tabung berbentuk U yang berisi cairan. Tekanan yang diukur akan bisa dibaca pada ujung tabung yang terbuka.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kalau ada perbedaan tekanan, tinggi cairan pada sisi tabung akan berbeda. Perbedaan tinggi ini merupakan proses tekanan dalam manometer air (mm mercury) thermometer. Konfersi kedalam kPa cukup sederhana :</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Untuk air, Pa = mmH2o x 9.807</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Untuk merkuri , Pa = mmHg x 133,3</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Aplikasi Khusus</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pengukuran Tekanan jenis ini sebagian besar digunakan untuk pemeriksaan tiba-tiba atau untuk kalibrasi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Aplikasi ini digunakan untuk jangkauan pengukuran rendah, sebab pengukuran lebih tinggi memerlukan air raksa.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Mercury beracun dan perlu dipertimbangkan resikonya.</span></div>
<span style="font-size: small;"><br /></span><br />
<div style="text-align: justify;">
<span style="font-size: small;">Keuntungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Konstruksi dan Operasi sederhana</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Murah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kerugian</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Jangkauan tekanan rendah ( Air)</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Jangkauan tekanan lebih tinggi memerlukan air raksa</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Pembacaan dibatasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pembatasan Aplikasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Manometer terbatas pada cakupan operasi yang rendah dalam kaitannya dengan pembatasan ukuran. Manometer juga sulit untuk mengintegrasikan ke dalam suatu sistem kendali berulang.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pembalikan bunyi tunggal dan ganda</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Alat ukur bunyi mengukur beda tekanan dalam ruang terpisah pada tiap bentuk ruang bunyi. Jika tekanan yang diukur disesuaikandengan keadaan sekitar, maka ruang terpisah yang lebih rendah lepas ke udara dan ukuran tekanannya diukur. Jika ruang terpisah yang lebih rendah dipisahkan untuk membentuk ruang hampa, maka tekanan yang teruukur akan berada pada satuan mutlak. Bagaimanapun, untuk mengukur perbedaan tekanan, tekanan yang lebih tinggi dihubungkan kepada puncak ruang dan tekanan yang lebih rendah pada bagian dasarnya.</span></div>
<span style="font-size: small;"><br /></span><br />
<div style="text-align: justify;">
<span style="font-size: small;">Alat ukur bunyi digunakan pada aplikasi jika tekanan yang sangat rendah diperlukan untuk pengukuran, khususnya pada nilai 0- 250 Pa.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tekanan Transduser dan elemen-elemen listrik Cakupan khusus pada transduser ini,yaitu:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Ukuran tegangan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Getaran kawat</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Piezoelectric</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Kapasitansi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Diferensial Variabel Linier Trafo</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Optikal</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ukuran tegangan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ukuran tegangan sensor menggunakan kawat logam atau chip semikonduktor untuk mengukur perubahan pada tekanannya. Perubahan tekanan menyebabkan suatu perubahan pada resistansi ketika logamnya berubah bentuk. Kelainan bentuk ini tidak tetap seperti tekanan (tenaga yang digunakan) bekerja tanpa melebihi batas-lengkung logam. Jika batas-lengkung terlewati dibanding kelainan bentuk permanen akan terjadi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Hal ini biasanya digunakan pada suatu Pengaturan Jembatan Wheatstone di mana perubahan pada tekanan dideteksi sebagai perubahan voltase yang terukur.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Meter tegangan pada masa awal masuk kawat logam didukung oleh suatu kerangka. Kemajuan teknologi tentang pengikatan materi menunjukkan bahwa kawat dapat dilekatkan secara langsung pada permukaan yang tegang. Karena pengukuran tegangan melibatkan kelainan bentuk pada logam, kebutuhan akan material tegangan tidak dibatasi menjadi kawat. Dengan demikian, pengembangannya juga melibatkan meteran kertas perak logaml. Meter tegangan yang terikat adalah semakin bermacam-macam yang digunakan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ketika meter tegangan bertemperatur sensitif, kompensasi temperatur diperlukan. Salah satu bentuk kompensasi temperatur yang umum yaitu menggunakan jembatan wheatstone. Terlepas dari meter sensor, suatu meteran imitasi tidak digunakan yang berdasarkan kekuatannya tetapi dipengaruhi oleh variasi temperatur.Pada jembatan tersebut pengaturan meteran imitasi batal dengan meter sensor dan menghapuskan variasi temperatur dalam pengukuran itu.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Meter tegangan sebagian besar digunakan dengan ukuran yang kecil mereka dan cepat merespon beban perubahan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Aplikasi Khusus</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tekanan diberlakukan bagi suatu rongga yang terisolasi, dimana kekuatan dipancarkan pada sensor polisilikon atas bantuan silikon yang mengisi cairan. Sisi Acuan sensor</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">diunjukkan ke tekanan udara untuk mengukur pemancar tekanan. Suatu ruang hampa dijaga acuannya untuk digunakan sebagai pemancar tekanan sebenarnya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ketika tekanan proses diberlakukan bagi sensor itu, hal ini menimbulkan suatu pembelokan kecil pada rongga sensor, yang tegangannya berlaku pada rangkaian jembatan wheatstone dalam sensor tersebut. Perubahan dalam resistansi tersebut dirasakan dan dikonversi suatu sinyal digital untuk diproses mikroprosesor tersebut.</span></div>
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<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pemilihan dan pengukuran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ada suatu pemilihan yang luas untuk mengukur tegangan transduser, dalam cakupan, ketelitian dan biaya yang berhubungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keuntungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Cakupan luas, 7.5Kpa untuk 1400 Mpa</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Ketidaktepatan 0.1%</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Ukuran kecil</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Alat stabil dengan respon yang cepat</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Kebanyakan bagiannya tidak berubah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Kemampuan cakupan yang baik</span></div>
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<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kerugian</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Tidak stabil dalam pengikatan material</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Temperatur sensitif</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Ketegangan Thermoelastic menyebabkan histeresis</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pembatasan Aplikasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Semua aplikasi meter tegangan memerlukan persediaan tenaga yang diatur untuk eksitasi voltase, walaupun hal ini biasanya ada dalam rangkaian sensor tersebut.</span></div>
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<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kawat yang bergetar</span></div>
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<span style="font-size: small;">Sensor jenis ini terdiri dari dari suatu rangkaian getaran elektronik yang menyebabkan suatu kawat untuk</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">bergetar pada frekuensi diri nya ketika di bawah tegangan. Prinsipnya serupa seperti dawai gitar. Getar kawat ditempatkan; terletak pada sekat rongga. Ketika tekanan</span></div>
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<span style="font-size: small;">berubah pada sekat rongga demikian juga tegangan pada kawat yang mempengaruhi frekuensi kawat yang bergetar atau resonansinya. Perubahan frekuensi ini mengarahkan konsekuensi perubahan tekanan dan dideteksi serta dinyatakan sebagai tekanan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Frekuensi dapat dirasakan seperti sinyal pulsa digital dari suatu elektromagnetik pembawa atau koil sensorl. Suatu pemancar elektronik akan mengkonversi listrik ke dalam sinyal yang cocok untuk transmisi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pengukuran Tekanan jenis ini dapat digunakan untuk diferensial, kemutlakan atau instalasi pengukuran. Pengukuran Tekanan mutlak dicapai dengan perpindahan rongga bertekanan rendah. Besar tekanan hampa khusus untuk kasus seperti itu sekitar 0.5 Pa.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keuntungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Ketelitian baik dan mudah diterima</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Stabil</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Histeresis rendah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Resolusi tinggi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Kemutlakan, Meter atau perbedaan pengukuran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kerugian</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Temperatur sensitif</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Mudah terpengaruh goncangan dan getaran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Tidak linier</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Bentuknya besar</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keterbatasan aplikasi </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Suhu yang bervariasi memerlukan kompensasi suhu dalam sensor, hal ini dapat membatasi masalah sensitivitas suatu perangkat. output yang dihasilkan adalah non-linear yang menimbulkan masalah kendali kontinyu.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Penggunaan teknologi ini sudah jarang sekali. Dan sebagai teknologi yang lebih tua, biasanya ditemukan dengan sirkuit kontrol analog.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">2.4.3 Piezoelektrik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ketika tekanan diberikan pada kristal, maka akan terjadi deformasi elastis. Sensor Piezoelektrik tekanan melibatkan pengukuran deformasi tersebut. Bila sebuah kristal cacat, muatan listrik yang dihasilkan hanya beberapa detik. Elektrik sinyal sebanding dengan gaya yang diterapkan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Karena sensor ini hanya bisa mengukur untuk waktu yang singkat, mereka tidak cocok untuk</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">pengukuran tekanan statis. Pengukuran lebih cocok dengan yang terbuat dari tekanan dinamis yang disebabkan dari:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Goncangan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Getaran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Ledakan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pulsations</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Mesin</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Kompresor</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jenis sensor tekanan ini tidak mengukur tekanan statis, dan dengan demikian membutuhkan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">beberapa cara untuk mengidentifikasi tekanan yang diukur. Seperti mengukur tekanan dinamis, pengukuran harus dirujuk ke kondisi awal sebelum menyebabkan gangguan tekanan. Tekanan dapat dinyatakan dalam unit tekanan relatif, Pascal RELATIF.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kuarsa umumnya digunakan sebagai sensor kristal yang murah, stabil dan sensitif terhadap variasi suhu. Tourmaline merupakan alternatif yang dapat memberikan kecepatan respon lebih cepat, dalam orde mikrodetik.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keuntungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Akurasi 0,075%</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pengukuran tekanan sangat tinggi, sampai 70Mpa</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Ukuran kecil</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Kuat</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Respon cepat, <1 nanodetik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sinyal yang dihasilkan sendiri</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kekurangan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Hanya sensor dinamik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Suhu sensitif</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keterbatasan Aplikasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Perlu kabel khusus dan pengkondisian sinyal.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">2.4.4 Kapasitansi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pengukuran tekanan kapasitif melibatkan sensor terhadap perubahan kapasitansi yang Hasil dari pergerakan diafragma. Sensor energi elektrik dengan osilator frekuensi tinggi. Seperti diafragma dibelokkan karena perubahan tekanan, kapasitansi relatif diukur dengan sirkuit jembatan. Ada dua desain yang cukup umum. Yang pertama adalah desain dua-plat dan dikonfigurasi untuk beroperasi dalam modus seimbang atau tidak seimbang. Yang kedua adalah desain kapasitor tunggal. Modus seimbang adalah dimana referensi kapasitor yang bervariasi untuk memberikan tegangan nol pada</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">output. Modus seimbang memerlukan pengukuran rasio output untuk eksitasi tegangan untuk menentukan tekanan. Jenis pengukuran tekanan cukup akurat dan memiliki jangkauan operasional yang luas. Pengukuran tekanan kapasitif juga cukup umum untuk menentukan tingkat dalam</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">tangki atau kapal.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keuntungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Ketidakakuratan 0,01 - 0,2%</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Rentang 80Pa untuk 35Mpa</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Linearitas</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Cepat tanggap</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kekurangan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Suhu sensitif</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Masalah kapasitansi sesat</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Getaran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Kemampuan kelebihan tekanan terbatas</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Biaya</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keterbatasan Aplikasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Banyak kerugian di atas telah ditanggulangi dan masalah mereka berkurang dalam desain baru. Suhu dikontrol oleh sensor yang tersedia untuk aplikasi yang membutuhkan ketelitian yang tinggi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dengan pengukur regangan menjadi bentuk yang paling populer dari pengukuran tekanan, sensor kapasitansi merupakan solusi berikutnya yang paling umum.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">2.4.5 Perubahan Diferensial Variabel Linear</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jenis pengukuran tekanan bergantung pada pergerakan sebuah inti permeabilitas tinggi dalam kumparan transformator. Gerakan ini ditransfer dari proses menengah ke inti dengan menggunakan sebuah puputan diafragma, atau tabung Bourdon.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">LVDT beroperasi pada rasio induktansi antara kumparan. Tiga kumparan luka ke tabung isolasi yang sama yang berisi inti besi permeabilitas tinggi. Kumparan primer terletak di antara dua kumparan sekunder dan energi dengan arus bolak-balik.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tegangan yang sama diinduksi dalam gulungan sekunder jika intinya ada di tengah. Tegangan yang diinduksi oleh fluks magnet. kemudian inti dipindahkan dari posisi pusat, hasil tegangan di gulungan sekunder akan berbeda. Kumparan sekunder biasanya berupa kabel secara seri.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">LVDT sensitif terhadap getaran dan bergantung pada pemakaian mekanis.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kekurangan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Mekanikal pakai</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Getaran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ringkasan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ini adalah teknologi yang lebih tua, yang digunakan sebelum pengukur regangan dikembangkan. Ditemukan di weighframes tua atau dapat digunakan untuk aplikasi kontrol posisi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sangat jarang digunakan lagi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">2.4.6 Optical</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Optical sensor dapat digunakan untuk mengukur pergerakan diafragma yang disebabkan oleh tekanan. Sebuah baling-baling buram dipasang ke diafragma dan bergerak di depan sinar inframerah. Sebagai cahaya terganggu, cahaya yang diterima pada pengukuran dioda menunjukkan posisi diafragma.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sebuah dioda referensi digunakan untuk mengkompensasi penuaan dari sumber cahaya. Selain itu, dengan menggunakan dioda referensi, efek suhu yang dibatalkan karena mempengaruhi penginderaan dan referensi dioda dengan cara yang sama.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keuntungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Suhu dikoreksi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- keterulangan baik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- histerisis Diabaikan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kekurangan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Mahal</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ringkasan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Optical sensor memerlukan sangat sedikit gerakan akurat sensing. Karena itu,</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">pengukuran tekanan optik memberikan pengulangan yang sangat baik dengan diabaikan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">histeresis.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">2.5 Pertimbangan Instalasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ada beberapa hal yang perlu diperhatikan dalam aplikasi pengukuran tekanan. Semua memerlukan beberapa pemikiran baik dalam perencanaan dan pelaksanaan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Lokasi Proses Koneksi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Proses koneksi harus terletak di atas jalur proses untuk gas, dan pada sisi dari garis untuk cairan lainnya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Isolasi Katup</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Banyak perangkat tekanan memerlukan penyadapan titik ke dalam proses. Isolasi katup harus dipertimbangkan antara proses fluida dan peralatan pengukuran jika perangkat perlu diganti atau dikalibrasi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Penggunaan Impulse Tubing</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Impulse perpipaan harus sesingkat mungkin. Instrumen dalam aplikasi gas harus mengeringkan sendiri. pengeringan dapat dilakukan dengan pembuatan pipa miring pada proses utuk menghindari penyumbatan cairan dan akibat terkondensasi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Instrumen yang digunakan dalam aplikasi cair dan terkondensasi harus memiliki self-venting.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Self-venting dilakukan dengan penarikan garis miring terhadap instrumen untuk menghindari gas yang terperangkap.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jika padatanlam dapat mengakumulasi dabaris impuls, tee dan steker harus dipasang saling tegak lurus untuk memungkinkan "rodding" dari deretan yang terpasang.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Uji Dan Katup Pengering</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Terlepas dari katup isolasi pada sambungan proses, kebutuhan untuk uji dan katup pengering harus dievaluasi. Jika cairan yang akan diukur beracun atau korosif, sebuah baris katup penghembus harus disediakan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Untuk alasan pemeliharaan, semua katup harus dapat diakses baik dari tanah atau dari teras.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Konstruksi Sensor</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tergantung pada lingkungan di mana instrumen akan digunakan, pemilihan sensor yang benar juga harus melibatkan kondisi fisik. Sensor mungkin perlu terisolasi secara mekanis, elektronik dan termal dari media proses dan eksternal lingkungan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Mekanik dan isolasi termal dapat dicapai dengan memindahkan sensor dari proses mengarah ke posisi di leher perumahan elektronik. Desain jenis ini menghilangkan stres mekanik pada sel. Hal ini dapat mengakibatkan peningkatan kinerja tekanan statis dan menghapus sensor dari panas langsung.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tabung transportasi tekanan Glass-sealed dan sel terisolasi menyediakan isolasi listrik. Hal ini meningkatkan kinerja dan memberikan perlindungan sementara untuk alat elektronik.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Efek SuhuTemperatur yang tinggi dan variasi suhu yang besar dapat mempengaruhi pengukuran tekanan peralatan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Salah satu bentuk paling umum kompensasi suhu adalah dengan menggunakan Wheatstone jembatan. Terlepas dari sensor primer, sebuah sensor dummy digunakan yang tidak dikenakan kekuatan tetapi juga dipengaruhi oleh variasi suhu. Di jembatan pengaturan sensor dummy membatalkan tegangan sensor utama dan dengan demikian menghilangkan variasi suhu dalam pengukuran. Suhu pengukuran dan koreksi dalam perangkat adalah bentuk lain dari kompensasi untuk efek termal, tetapi adalah pilihan yang lebih mahal.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Remote Segel Diafragma</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Segel diafragma Remote dapat digunakan untuk mencegah media proses dari menghubungi diafragma pemancar sementara mengukur tekanan proses. Sistem seal Remote harus dipertimbangkan jika:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Korosi dapat menyebabkan masalah dengan transmitter dan tekanan penginderaan elemen.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Cairan sensing mengandung padatan tersuspensi atau cukup kental untuk menyumbat perpipaan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Suhu proses berada di luar rentang operasi normal dari pemancar.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Cairan proses dapat membekukan atau memantapkan dalam pipa pemancar atau impuls.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Media proses perlu memerah keluar dari proses sambungan saat mengubah batch.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Memelihara kondisi sanitasi atau aseptik.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Menghilangkan perawatan yang diperlukan dengan aplikasi kaki basah.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Membuat kepadatan atau pengukuran lainnya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kewaspadaan Dengan Remote Segel Diafragma</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Walaupun manfaat menggunakan segel diafragma remote tercantum di atas, mereka dapat namun memiliki efek pada respon pemancar secara keseluruhan. Dengan memilih yang benar segel, kapiler dan cairan isi, efek kinerja pemancar dapat diminimalkan sementara masih mencapai persyaratan proses.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Poin-poin berikut dapat membantu ketika memilih bagian-bagian yang berbeda dari segel remote sistem:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Diafragma diameter yang lebih besar meminimalkan efek suhu yang umum dengan segel jauh.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Meminimalkan panjang kapiler mengurangi efek suhu dan juga meningkatkan waktu respon.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Dalam sistem dua-segel, ukuran diafragma yang sama, panjang kapiler dan mengisi cairan harus digunakan pada setiap sisi dari pemancar tersebut.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Gunung pemancar pada atau di bawah keran yang lebih rendah untuk aplikasi vakum. Panjang kapiler mungkin merupakan faktor penghambat.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Cairan mengisi harus dipilih untuk tampil di proses yang paling ekstrim kondisi. Dua kriteria penting yang suhu tertinggi dan terendah tekanan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pilih cairan isi yang kompatibel dengan cairan proses, dalam kasus kontaminasi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Proses flensa</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Flange coplanar</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ini menjadi lebih standar untuk pemancar tekanan yang lebih baru. Mereka umumnya kecil dan ringan yang membuat untuk instalasi lebih mudah. Mereka memiliki proses operasi suhu sampai 120oC.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tradisional flange Ini digunakan dalam instalasi yang memerlukan konfigurasi biplanar tradisional.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Suhu operasi meningkat pada sambungan proses, sampai dengan 150oC adalah mungkin.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Flange Tingkat Hal ini memungkinkan proses langsung mounting dan adalah sebuah konstruksi yang sederhana dan rendah biaya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Hardware Tambahan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jika peredam getaran yang diperlukan, bahan-bahan dan mengisi cairan harus kompatibel dengan cairan proses yang diukur. Selain itu, sifon dari bahan yang benar yang diperlukan untuk semua uap di atas 60C, dimana kondensasi akan terjadi. Jika segel diafragma diperlukan, persyaratan sambungan pembilasan harus dinilai.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">2.6 Dampak terhadap Kontrol Loop Keseluruhan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Perangkat Sensing yang terletak di sebuah loop kontrol umumnya berpengaruh bila rentang perubahan waktu operasi atau respon. Dengan alat ukur tekanan, masalah terjadi karena:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Bahan build-up pada elemen penginderaan menyebabkan respon lagi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Overranging pembacaan menyebabkan kesalahan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">2.7 Masa Depan Teknologi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Karakteristik Sensor</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sensor sedikit menunjukkan karakteristik yang berbeda tergantung pada tekanan dan suhu berkisar mereka beroperasi di. Dengan menjalankan sensor melalui tekanan dan siklus suhu selama rentang operasi penuh mereka, adalah mungkin untuk mengumpulkan cukup data untuk menghasilkan koefisien koreksi. Informasi ini disimpan dalam modul sensor dan memastikan koreksi sinyal yang tepat selama operasi normal. Kesalahan karena histeresis dan non-linearitas dapat ditingkatkan dengan penggunaan cerdas instrumen. mikroprosesor tidak menghilangkan nonlinier, tetapi tidak mengingat jumlah nonlinier dan elektronik mengoreksi untuk itu. pemancar tekanan Smart menyediakan dua fungsi utama:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Memaksimalkan akurasi dan rangeability.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Mudah dihubungkan antara sensor lapangan dan sistem kontrol utama.</span></div>
<span style="font-size: small;"><br /></span><br />
<div style="text-align: justify;">
<span style="font-size: small;">Aplikasi Khusus</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pengukuran Tekanan jenis ini sebagian besar digunakan untuk pemeriksaan tiba-tiba atau untuk kalibrasi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Aplikasi ini digunakan untuk jangkauan pengukuran rendah, sebab pengukuran lebih tinggi memerlukan air raksa.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Mercury beracun dan perlu dipertimbangkan resikonya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<span style="font-size: small;"><br /></span><br />
<div style="text-align: justify;">
<span style="font-size: small;">Keuntungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Konstruksi dan Operasi sederhana</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Murah </span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kerugian</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Jangkauan tekanan rendah ( Air)</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Jangkauan tekanan lebih tinggi memerlukan air raksa</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Pembacaan dibatasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pembatasan Aplikasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Manometer terbatas pada cakupan operasi yang rendah dalam kaitannya dengan pembatasan ukuran. Manometer juga sulit untuk mengintegrasikan ke dalam suatu sistem kendali berulang.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pembalikan bunyi tunggal dan ganda</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Alat ukur bunyi mengukur beda tekanan dalam ruang terpisah pada tiap bentuk ruang bunyi. Jika tekanan yang diukur disesuaikandengan keadaan sekitar, maka ruang terpisah yang lebih rendah lepas ke udara dan ukuran tekanannya diukur. Jika ruang terpisah yang lebih rendah dipisahkan untuk membentuk ruang hampa, maka tekanan yang teruukur akan berada pada satuan mutlak. Bagaimanapun, untuk mengukur perbedaan tekanan, tekanan yang lebih tinggi dihubungkan kepada puncak ruang dan tekanan yang lebih rendah pada bagian dasarnya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pendeteksi d/p pembalikan bunyi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Alat ukur bunyi digunakan pada aplikasi jika tekanan yang sangat rendah diperlukan untuk pengukuran, khususnya pada nilai 0- 250 Pa.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tekanan Transduser dan elemen-elemen listrik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Cakupan khusus pada transduser ini,yaitu:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Ukuran tegangan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Getaran kawat</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Piezoelectric</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Kapasitansi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Diferensial Variabel Linier Trafo</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Optikal</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ukuran tegangan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ukuran tegangan sensor menggunakan kawat logam atau chip semikonduktor untuk mengukur perubahan pada tekanannya. Perubahan tekanan menyebabkan suatu perubahan pada resistansi ketika logamnya berubah bentuk. Kelainan bentuk ini tidak tetap seperti tekanan (tenaga yang digunakan) bekerja tanpa melebihi batas-lengkung logam. Jika batas-lengkung terlewati dibanding kelainan bentuk permanen akan terjadi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Hal ini biasanya digunakan pada suatu Pengaturan Jembatan Wheatstone di mana perubahan pada tekanan dideteksi sebagai perubahan voltase yang terukur.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Meter tegangan pada masa awal masuk kawat logam didukung oleh suatu kerangka. Kemajuan teknologi tentang pengikatan materi menunjukkan bahwa kawat dapat dilekatkan secara langsung pada permukaan yang tegang. Karena pengukuran tegangan melibatkan kelainan bentuk pada logam, kebutuhan akan material tegangan tidak dibatasi menjadi kawat. Dengan demikian, pengembangannya juga melibatkan meteran kertas perak logaml. Meter tegangan yang terikat adalah semakin bermacam-macam yang digunakan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ketika meter tegangan bertemperatur sensitif, kompensasi temperatur diperlukan. Salah satu bentuk kompensasi temperatur yang umum yaitu menggunakan jembatan wheatstone. Terlepas dari meter sensor, suatu meteran imitasi tidak digunakan yang berdasarkan kekuatannya tetapi dipengaruhi oleh variasi temperatur.Pada jembatan tersebut pengaturan meteran imitasi batal dengan meter sensor dan menghapuskan variasi temperatur dalam pengukuran itu.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Meter tegangan sebagian besar digunakan dengan ukuran yang kecil mereka dan cepat merespon beban perubahan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Aplikasi Khusus</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tekanan diberlakukan bagi suatu rongga yang terisolasi, dimana kekuatan dipancarkan pada sensor polisilikon atas bantuan silikon yang mengisi cairan. Sisi Acuan sensor</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">diunjukkan ke tekanan udara untuk mengukur pemancar tekanan. Suatu ruang hampa dijaga acuannya untuk digunakan sebagai pemancar tekanan sebenarnya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ketika tekanan proses diberlakukan bagi sensor itu, hal ini menimbulkan suatu pembelokan kecil pada rongga sensor, yang tegangannya berlaku pada rangkaian jembatan wheatstone dalam sensor tersebut. Perubahan dalam resistansi tersebut dirasakan dan dikonversi suatu sinyal digital untuk diproses mikroprosesor tersebut.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pemilihan dan pengukuran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ada suatu pemilihan yang luas untuk mengukur tegangan transduser, dalam cakupan, ketelitian dan biaya yang berhubungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keuntungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Cakupan luas, 7.5Kpa untuk 1400 Mpa</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Ketidaktepatan 0.1% </span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Ukuran kecil</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Alat stabil dengan respon yang cepat</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Kebanyakan bagiannya tidak berubah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Kemampuan cakupan yang baik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kerugian</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Tidak stabil dalam pengikatan material</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Temperatur sensitif</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Ketegangan Thermoelastic menyebabkan histeresis</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pembatasan Aplikasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Semua aplikasi meter tegangan memerlukan persediaan tenaga yang diatur untuk eksitasi voltase, walaupun hal ini biasanya ada dalam rangkaian sensor tersebut.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kawat yang bergetar</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sensor jenis ini terdiri dari dari suatu rangkaian getaran elektronik yang menyebabkan suatu kawat untuk</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">bergetar pada frekuensi diri nya ketika di bawah tegangan. Prinsipnya serupa seperti dawai gitar. Getar kawat ditempatkan; terletak pada sekat rongga. Ketika tekanan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">berubah pada sekat rongga demikian juga tegangan pada kawat yang mempengaruhi frekuensi kawat yang bergetar atau resonansinya. Perubahan frekuensi ini mengarahkan konsekuensi perubahan tekanan dan dideteksi serta dinyatakan sebagai tekanan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Frekuensi dapat dirasakan seperti sinyal pulsa digital dari suatu elektromagnetik pembawa atau koil sensorl. Suatu pemancar elektronik akan mengkonversi listrik ke dalam sinyal yang cocok untuk transmisi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pengukuran Tekanan jenis ini dapat digunakan untuk diferensial, kemutlakan atau instalasi pengukuran. Pengukuran Tekanan mutlak dicapai dengan perpindahan rongga bertekanan rendah. Besar tekanan hampa khusus untuk kasus seperti itu sekitar 0.5 Pa.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keuntungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Ketelitian baik dan mudah diterima</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Stabil</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Histeresis rendah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Resolusi tinggi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Kemutlakan, Meter atau perbedaan pengukuran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kerugian</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Temperatur sensitif</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Mudah terpengaruh goncangan dan getaran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Tidak linier</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Bentuknya besar</span></div>
</div>
lahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.com0tag:blogger.com,1999:blog-7316700808030502240.post-56526974732857234702010-09-26T01:44:00.001-07:002012-03-17T19:51:18.652-07:00Bab 1 Instrumentasi: Practical Instrumentation for Automation and Process Control - ISA<div dir="ltr" style="text-align: left;" trbidi="on">
<div style="text-align: justify;">
<span style="font-size: small;">Dalam suatu waktu dari perkembangan yang konstan dan berkala, akan sangat berambisi untuk mengembangkan dan menyajkan sebuah rangkaian pelajaran untuk memenuhi setiap dan semua tipe perlengkapan alat ukuran perindustrian. Rangkaian pelajaran ini tidak dimaksudkan untuk dijadikan instrumentasi ensiklopedia dan pengontol. Tapi lebih kepada pemandu latihan untuk mningkatkan pengalaman dalam perubahan lingkungan yang cepat.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jalan ini dimaksudkan untuk membentuk mekanis, teknisi, dan tenaga ahli lainnya yang berkaitan dengan proses pengukuran, lebih banyak pengalaman dalam bidang tersebut. Hal itu juga dirancang untuk memberikan siswa hal pokok dalam menganalissa proses yang wajib dan memilih solusi yang cocok untuk aplikasinya.</span><br />
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<a name='more'></a><br />
<span style="font-size: small;"><br /></span></div>
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<span style="font-size: small;">Pengukuran dasar dan konsep pengontrolan</span></div>
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<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Istilah dan spesifikasi pengukuran dasar</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ada beberapa kriteria yang harus dipenuhi dari sebuah alat ukur. Diantaranya adalah:</span></div>
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<span style="font-size: small;">1. Akurasi</span></div>
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<span style="font-size: small;">Ketelitian sebuah alat adalah jumlah dari kesalahan yang terjadi saat pengukuran dilaksanakan. Hal itu menjelaskan ketepatan atau kebaikan sebuah pengukuran adalah nilai sebenarnya dan digunakan untuk menjelaskan kesesuaian dari alat ukur.</span></div>
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<span style="font-size: small;">Akurasi dapat diyatakan sebagai berikut:</span></div>
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<span style="font-size: small;">- Kesalahan nilai satuan yang diukur</span></div>
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<span style="font-size: small;">- Rentang nilai</span></div>
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<span style="font-size: small;">- Persen Nilai jarak teratas</span></div>
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<span style="font-size: small;">- Persen Lebar sekala</span></div>
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<span style="font-size: small;">- Persen Nilai output sebenarnya</span></div>
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<span style="font-size: small;">Ketelitian biasanya menyatakan kesalahan total dalam pengukuran dan akumulasi liniearitas, histeris dan perulangan. Temperatur, tekanan statis, dan tegaangan. Ketelitian juga tidak membiarkan penyimpangan yang besar.</span></div>
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<span style="font-size: small;">2. rentang operasi</span></div>
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<span style="font-size: small;">Rentang operasi mendefinisikan tinggi rendahnya operasi limit dimana alat tersebut dapat bekerja dengan tepat, dan menjamin spesifikasi lainya. Pengerjaan yang tidak sesuai dapat menyebabkan nilai eror yang tinggi, peralatan menjadi salah fungsi, bahkan kerusakan atau gangguan permanen.</span></div>
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<span style="font-size: small;">3. anggaran/ biaya</span></div>
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<span style="font-size: small;">Meskipun tidak ada spesifikasi, biaya dari peralatan menjadi salah satu pertimbangan. Biasanya biaya disebutkan dalam alokasi biaya untuk pengerjaanya. Meskipun persyaratan lain sudah terpenuhi, masalah anggaran dapat menjdi sebuah faktor penghambat.</span></div>
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<span style="font-size: small;">Meningkatkan masa dan spesifikasi kinerja pengukuran</span></div>
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<span style="font-size: small;">Spesifikasi kinerja pengukuran mungkin akan terpengauh oleh karakteristik respon yang berbeda. Dalam situasi berikut mungkin perlu dipertimbangkan:</span></div>
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<span style="font-size: small;">1 histeris</span></div>
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<span style="font-size: small;">Secara histeris ketepatan dari sebuah alat bergantung pada nilai sebelumnya dan perbedaan langsung. Histerisis menyebabkan sebuah alat menunjukkan ketidaksamaan dari nilai sebenarnya, nilinya hampir sama dengan pengukuran sebelumnya.</span></div>
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<span style="font-size: small;">2. liniearitas</span></div>
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<span style="font-size: small;">Linieritas adalah seberapa dekatnya kurva terhadap gris lurus. Respon dari instrumen untuk mengubah dalam pengukuran medium dapat digmbarkan dalam sebuah kurva. Masalah dapat menigkat jika respon tidak linier, terutama untuk kontrol aplikasi yang berkelanjutan. Masalah dapat juga disebabkan pada poin kontrol sebagai resolusi variatif yang bergantung pada nilai yang diukur.</span></div>
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<span style="font-size: small;">Liniearits menunjukkan deviasi dari pembacaan sesungguhnya dari garis lurus. Untuk mengontrol pengukuran secara kontinu, masalah meningkat sebagai perubahan dalam kurva keluaran yang berbeda dari instrumen. Peningkatan peralatan non linear berubah sebagaimana perubahan output terhadap input. Dalam loop tertutup sistem berubah dalam pengaruh pertambahan loop dinamik. Dalam beberapa aplikasi, liearitas harus ditaksir. Jika masalah telah tampak, maka signalnya harus dilinarkan.</span></div>
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<span style="font-size: small;">3. perulangan</span></div>
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<span style="font-size: small;">Perulangan mendefinisikn seberapa dekat pengukuran kedua terhadap pengukuran pertama dalam kondisi pengerjaan yang sama dan input yang sama. Perulangan umumnya berhubungan dengan rentang akurasi sebuah alat dan berbeda dari histerisis dalam pengerjaan langsung dan kondisinya harus sama.</span></div>
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<span style="font-size: small;">Kontrol aplikasi kontinu dapat dipengaruhi oleh variasi dalam perulangan. Saat sebuah kontrol sistem melihat perubahan di dalam parameter berarti sedang mengontrol, akan membetulkan outputnya secara serasi. Bagaimanapun jika perubahan sesuai perulangan dari peralatan pengukuran, maka pengontrol akan over-control. Masalah ini dapat terulang dngan menggunakan deadband pada kontroler, bagaimana pun juga perulangan menjadi masalah saat akurasi menyatakan 0,1% diwajibkan, dan perulangan dari 0,5% muncul.</span></div>
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<span style="font-size: small;">Gelombang, atau osilasi kecil dapat menyebabkan over-controling. Hal ini harus dilaporkan untuk spesifikasi pertama dari nilai yang diperbolehkan.</span></div>
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<span style="font-size: small;">4. Respon</span></div>
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<span style="font-size: small;">Saat output dari suatu alat ditampilkan sebagai fungsi dari waktu (sesuai input yang dipasang) waktu yang digunakan untuk merespon dapat menyediakan informasi kritis tentang kesesuaian dari alat. Alat yang menghasilkan respon yang lambat tidak cocok diguakan. Tipe seperti ini digunakan pada kontinous control application dimana respon dari alatnya berupa karakteristik respon dinamik dari kolntrol loop. Bagaimanapun juga dalam aplikasi alarming dimana alat digunakan sebagai point pengukuran yang responnya sangat penting.</span></div>
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<span style="font-size: small;">Definisi Istilah</span></div>
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<span style="font-size: small;">Berikut adalah daftar istilah dan definisi mereka yang digunakan di seluruh manual ini.</span></div>
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<span style="font-size: small;">Akurasi</span></div>
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<span style="font-size: small;">Seberapa tepat atau benarnya niali pengukuran terhadap nilai sebenarnya. Akurasi adalah sebuah indikasi ksalahan dalam pengukuran.</span></div>
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<span style="font-size: small;">Kondisi lingkungan/ambient</span></div>
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<span style="font-size: small;">Keadaan sekeliling atau lingkungan yang menjadi referensi dari point khusus atau objek.</span></div>
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<span style="font-size: small;">Penipisan/attenuasi</span></div>
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<span style="font-size: small;">Penurunan besarnya sinyal selama periode waktu.</span></div>
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<span style="font-size: small;">Kalibrasi</span></div>
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<span style="font-size: small;">Untuk mengkonfigurasi sebuah alat sehingga menghsilkan nilai output yang seharusnya (untuk mendefinisikan tingkat ketepatan) masing-masing input.</span></div>
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<span style="font-size: small;">Loop tertutup</span></div>
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<span style="font-size: small;">Menjelaskan cara untuk mengontrol loop dimana variable prosesnya digunakan untuk mengkalkulasi pengontrol output.</span></div>
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<span style="font-size: small;">Koefisien,suhu</span></div>
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<span style="font-size: small;">Koefisian khususnya multiplaying faktor. Koefisien suhumenjelaskan seberapa besar perubahan suhu yang harus diberikan perubahan dalam resistansi (untuk resistor yang bergantung suhu).</span></div>
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<span style="font-size: small;">Cold junction</span></div>
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<span style="font-size: small;">Penghubung Termokopel yang dikenal sebagai referensi temperatur.</span></div>
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<span style="font-size: small;">Kompensasi</span></div>
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<span style="font-size: small;">Perangkat tambahan digunakan untuk mengoreksi kesalahan akibat variasi kondisi operasional.</span></div>
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<span style="font-size: small;">Pengawas</span></div>
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<span style="font-size: small;">Perangkat yang beroperasi secara otomatis untuk mengatur kontrol proses dengan variabel kontrol.</span></div>
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<span style="font-size: small;">Elastis</span></div>
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<span style="font-size: small;">Kemampuan suatu objek untuk mendapatkan kembali bentuk aslinya ketika gaya yang digunakan adalah dihapus. Bila gaya yang diterapkan yang melebihi batas elastis, maka deformasi permanen akan terjadi.</span></div>
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<span style="font-size: small;">Perangsangan</span></div>
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<span style="font-size: small;">Pasokan energi yang dibutuhkan untuk daya perangkat untuk operasi sesuai dengan tujuannya.</span></div>
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<span style="font-size: small;">Tambahan</span></div>
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<span style="font-size: small;">Ini adalah rasio perubahan output ke perubahan masukan diterapkan. Tambahan merupakan kasus khusus dari sensitivitas, dimana unit input dan output adalah identik dan keuntungan yang unitless.</span></div>
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<span style="font-size: small;">Berburu</span></div>
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<span style="font-size: small;">Umumnya merupakan osilasi yang tidak diinginkan pada atau dekat setpoint yang diperlukan. Berburu biasanya terjadi ketika tuntutan terhadap kinerja sistem yang tinggi dan mungkin melebihi kemampuan sistem. Output dari kontroler dapat overcontrollerd karena resolusi keterbatasan akurasi.</span></div>
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<span style="font-size: small;">Histeresis</span></div>
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<span style="font-size: small;">Keakuratan perangkat ini tergantung pada nilai sebelumnya dan arah variasi. Histeresis menyebabkan perangkat untuk menunjukkan ketidaktelitian dari nilai yang benar, karena dipengaruhi oleh pengukuran sebelumnya.</span></div>
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<span style="font-size: small;">Lerengan</span></div>
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<span style="font-size: small;">Mendefinisikan respon tertunda dan akumulasi output untuk sebuah perubahan mendadak dalam masukan.</span></div>
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<span style="font-size: small;">Jarak</span></div>
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<span style="font-size: small;">Daerah antara batas atas dan bawah ditetapkan jika harga atau perangkat didefinisikan dan dioperasikan.</span></div>
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<span style="font-size: small;">Keandalan</span></div>
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<span style="font-size: small;">Probabilitas bahwa perangkat akan melakukan dalam spesifikasi untuk jumlah operasi atau periode waktu tertentu.</span></div>
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<span style="font-size: small;">Keterulangan</span></div>
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<span style="font-size: small;">Kedekatan sampel diulang dalam kondisi operasi yang tepat.</span></div>
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<span style="font-size: small;">Reproducibility</span></div>
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<span style="font-size: small;">Kesamaan dari satu pengukuran ke waktu atas, di mana kondisi operasi telah bervariasi dalam rentang waktu, tetapi input dipulihkan.</span></div>
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<span style="font-size: small;">Resolusi</span></div>
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<span style="font-size: small;">Interval terkecil yang dapat diidentifikasi sebagai pengukuran bervariasi.</span></div>
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<span style="font-size: small;">Resonansi</span></div>
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<span style="font-size: small;">Frekuensi osilasi yang dipertahankan karena dinamika alami dari sistem.</span></div>
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<span style="font-size: small;">Respon</span></div>
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<span style="font-size: small;">Mendefinisikan perilaku dari waktu ke waktu dari keluaran sebagai fungsi dari input. Output adalah respon atau efek, dengan input biasanya tercatat sebagai penyebabnya.</span></div>
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<span style="font-size: small;">Cukup Pemanasan</span></div>
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<span style="font-size: small;">Pemanasan internal disebabkan dalam perangkat karena eksitasi listrik. Selfheating terutama karena menarik arus dan tidak tegangan yang diterapkan, dan biasanya ditunjukkan oleh jatuh tegangan sebagai hasil kekuasaan (I2R) penghapusan.</span></div>
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<span style="font-size: small;">Kepekaan</span></div>
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<span style="font-size: small;">Ini menentukan berapa banyak perubahan output, untuk perubahan yang ditetapkan dalam input ke perangkat.</span></div>
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<span style="font-size: small;">Setpoint</span></div>
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<span style="font-size: small;">Digunakan dalam pengendalian loop tertutup, setpoint adalah variabel proses yang ideal. Hal ini diwakili dalam satuan variabel proses dan digunakan oleh controller untuk menentukan output pada proses.</span></div>
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<span style="font-size: small;">Penyesuaian Span</span></div>
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<span style="font-size: small;">Perbedaan antara nilai maksimum dan minimum range. Ketika diberikan dalam instrumen, ini mengubah kemiringan kurva input-output.</span></div>
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<span style="font-size: small;">Steady state</span></div>
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<span style="font-size: small;">Digunakan dalam pengendalian loop tertutup dimana tidak ada proses berosilasi lagi atau perubahan dan mengendap di beberapa nilai yang ditentukan.</span></div>
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<span style="font-size: small;">Stiction</span></div>
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<span style="font-size: small;">Pemendekan bentuk gesekan statis, dan didefinisikan sebagai perlawanan terhadap gerakan. Lebih penting adalah gaya yang dibutuhkan (listrik atau mekanik) untuk mengatasi resistensi tersebut.</span></div>
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<span style="font-size: small;">Kekakuan</span></div>
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<span style="font-size: small;">Ini adalah ukuran gaya yang dibutuhkan untuk menyebabkan defleksi benda elastis.</span></div>
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<span style="font-size: small;">Thermal shock</span></div>
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<span style="font-size: small;">Perubahan suhu mendadak diterapkan pada suatu objek atau perangkat.</span></div>
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<span style="font-size: small;">Waktu yang konstan</span></div>
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<span style="font-size: small;">Biasanya suatu satuan ukuran yang mendefinisikan respon dari perangkat atau sistem. Waktu konstan dari sistem urutan pertama didefinisikan sebagai waktu yang dibutuhkan untuk output mencapai 63,2% dari perubahan total, ketika mengalami perubahan masukan langkah.</span></div>
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<span style="font-size: small;">Transduser</span></div>
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<span style="font-size: small;">Suatu elemen atau perangkat yang mengubah informasi dari satu bentuk (biasanya fisik, seperti suhu atau tekanan) dan mengkonversi ke yang lain (biasanya listrik, seperti volt atau milivolt atau mengubah resistansi). transduser A dapat dianggap terdiri dari sensor di ujung depan (pada proses) dan pemancar.</span></div>
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<span style="font-size: small;">Sementara</span></div>
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<span style="font-size: small;">Sebuah perubahan mendadak dalam sebuah variabel yang bukan merupakan respon yang dikendalikan atau tahan lama.</span></div>
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<span style="font-size: small;">Pemancar</span></div>
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<span style="font-size: small;">Perangkat yang mengkonversi dari satu bentuk energi yang lain. Biasanya dari listrik ke listrik untuk tujuan integritas sinyal untuk pengiriman melalui jarak jauh dan untuk kesesuaian dengan peralatan kontrol.</span></div>
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<span style="font-size: small;">Variabel</span></div>
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<span style="font-size: small;">Umumnya, ini adalah beberapa kuantitas dari sistem atau proses. Dua jenis utama dari variabel yang ada dalam sistem adalah variabel variabel diukur dan dikendalikan. Variabel yang diukur adalah kuantitas yang diukur dan juga disebut sebagai variabel proses seperti langkah-langkah memproses informasi. Variabel yang dikontrol adalah output pengontrol yang mengontrol proses.</span></div>
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<span style="font-size: small;">Getaran</span></div>
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<span style="font-size: small;">Ini adalah gerak periodik (mekanik) atau osilasi dari objek.</span></div>
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<span style="font-size: small;">Zero penyesuaian</span></div>
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<span style="font-size: small;">Para nol dalam suatu instrumen adalah output diberikan bila tidak ada, atau nol masukan diterapkan. Penyesuaian nol menghasilkan pergeseran sejajar dalam kurva input-output.</span></div>
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<span style="font-size: small;">P & ID (Proses dan Diagram Instrumentasi) Simbol</span></div>
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<span style="font-size: small;">Simbol grafis dan surat mengidentifikasi untuk pengukuran proses dan fungsi kontrol tercantum di bawah ini:</span></div>
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<span style="font-size: small;">Surat pertama surat Kedua</span></div>
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<span style="font-size: small;">A Alarm Analisis</span></div>
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<span style="font-size: small;">B Burner</span></div>
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<span style="font-size: small;">C Konduktivitas Kontrol</span></div>
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<span style="font-size: small;">D Kepadatan</span></div>
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<span style="font-size: small;">E Tegangan elemen Primer</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">F Flow</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">G Mengukur Glass (tabung penglihatan)</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">H Tangan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">I Arus (listrik) Tunjukkan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">J Power</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">K Waktu Kontrol stasiun</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">L Tingkat Cahaya</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">M Kelembaban</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">O Lubang</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">P Tekanan Point</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Q Kuantitas</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">R Radioaktivitas Rekam</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">S Kecepatan Tombol</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">T Suhu Pengirim</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">U multivariabel Multifungsi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">V Viskositas Katub</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">W Berat Perigi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Y Relay (transformasi)</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Z Posisi Drive</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keadaan instrumentasi pada diagram arus</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Macam simbol instrument</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pengaruh Kriteria Seleksi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">1. Keuntungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Luas Jarak Operasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kecocokan operasi tidak hanya menentukan kesesuaian perangkat untuk aplikasi tertentu, tetapi bisa dipilih untuk berbagai aplikasi. Hal ini dapat mengurangi persediaan dalam pabrik sebagai jumlah sensor dan penurunan model. Ini juga meningkatkan sistem sebagai peralatan dapat dipertukarkan sebagai tiap kebutuhan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Meningkatnya sistem jarak peralatan operasi memberikan lebih besar dan batas bawah perlindungan, harus melakukan proses di luar spesifikasi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Melebarkan jarak operasi dari sensor peralatan mungkin dengan mengorbankan resolusi. Tindakan pencegahan perlu dilakukan ketika mengubah jarak yang ada peralatan. Dalam kasus sistem pengendali, dinamika antena pengendali dapat dibuat-buat.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Reaksi Cepat</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dengan reaksi yang cepat, keterlambatan tidak ditambahkan ke dalam sistem.Dalam kasus pengendali, kelambatan dapat mengumpulkan dengan berbagai komponen pengendali dan hasil tidak baik atau pengendali lambat dari proses. Dalam aplikasi titik atau mengkhawatirkan, cepat kecepatan dari reaksi dapat membantu dalam memicu prosedur keselamatan atau shutdown yang dapat mengurangi jumlah kegagalan peralatan atau produk hilang.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Seringkali reaksi yang cepat itu mencapai dengan mengorbankan perlindungan mekanis transduser elemen.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Potensi Sensitivitas</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Memperbaiki sensitivitas dari perangkat berarti bahwa pengukuran mungkin lebih tepat. Sensitivitas mendefinisikan besarnya perubahan yang terjadi. Tinggi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">sensitivitas dalam peralatan pengukur berarti bahwa sinyal mudah dibaca oleh pengendali atau peralatan lainnya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Akurasi Tinggi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ini mungkin salah satu kriteria seleksi yang paling penting. Ketelitian menentukan kesesuaian dari peralatan pengukuran ke aplikasi, dan sering ketrampilan tidak dengan biaya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tinggi ketelitian berarti mengurangi kesalahan dalam pengukuran; ini juga dapat meningkatkan integritas dan pelaksanaan sistem.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tinggi di atas jarak Perlindungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ini merupakan keterbatasan fisik pada perlindungan peralatan. Aplikasi ini dimana kondisi operasi tidak jelas atau dapat gangguan, adalah praktik yang baik untuk 'mendirikan’ perlindungan cocok untuk peralatan pengukuran.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Perlindungan diatas jarak tinggi berbeda untuk memiliki berbagai operasional yang luas dalam hal itu tidak mengukur ketika keluar dari jangkauan. Jarak ini tetap kecil untuk memungkinkan cukup resolusi, dengan perlindungan diatas jarak memastikan masa operasi lagi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Desain sederhana dan Pemeliharaan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sebuah desain sederhana berarti bahwa ada kurang "bit yang dapat perubahan". Lebih kuat desain umumnya pembuatan sederhana. Pemeliharaan berkurang dengan potongan kurang mengenakan, mengganti atau merakit. Ada juga tabungan dalam waktu yang dibutuhkan untuk melayani, memperbaiki dan mengganti dengan yang terkait prosedur yang disederhanakan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Biaya</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Setiap aplikasi yang membutuhkan solusi pengendali atau interogasi proses informasi yang didorong oleh anggaran. Karena itu tidak mengherankan bahwa biaya adalah kriteria penting seleksi ketika memilih peralatan pengukuran.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Biaya perangkat umumnya meningkat perbaikan arus spesifikasi:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Akurasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Rentang operasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Operasi lingkungan (suhu tinggi, tekanan dll)</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Teknologi yang digunakan dan bahan konstruksi lakukan mempengaruhi biaya, tetapi umumnya dipilih berdasarkan peningkatan kriteria seleksi yang lain (biasanya yang tercantum di atas).</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Keterulangan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Repeatabilitas baik memastikan pengukuran bervariasi sesuai dengan proses perubahan dan tidak karena keterbatasan peralatan. Kesalahan masih bisa terulang di pengukuran, yang didefinisikan oleh ketelitiannya. Namun pengendali yang lebih ketat masih mungkin karena variasi diminimalkan dan kesalahan dapat diatasi dengan berkas mati.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Ukuran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sebagian besar menggunakan aplikasi ukuran perlengkapan secara rinci dan memakai biaya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Perlengkapan kecil memiliki keuntungan tambahan dari:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Dapat ditempatkan di ruang rapat</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Terbatas halangan untuk proses</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Lokasi sangat akurat pengukuran yang dibutuhkan (titik pengukuran)</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Perangkat besar memiliki keuntungan tambahan dari:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Area pengukuran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Stabil</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jika perlengkapan arus atau kehilangan kalibrasi dari waktu ke waktu maka itu dianggap tidak stabil. Penyimpangan dapat terjadi batas waktu berakhir atau pada operasi mengulang perlengkapan. Dalam termokopel, telah terbukti bahwa arus lebih bahaya saat termokopel yang bervariasi atas luas jarak cukup sering, biasanya dalam pembakaran yang berulang kali dipanaskan pada suhu tinggi dari suhu lingkungan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sesungguhnya suatu alat dapat dikalibrasi kembali, ada sejumlah faktor yang membuatnya tidak diinginkan:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Tenaga yang diperlukan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Proses shutdown yang dimungkinkan untuk mengakses</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">· Kemampuan mengakses</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Resolusi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sedangkan ketelitian menggambarkan dekatnya nilai pengukuran dengan nilai asli nya, resolusi adalah perbedaan nilai ukur yang paling kecil antara dua nilai pengukuran yang berurutan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Resolusi menggambarkan banyaknya rincian nilai yang terukur. Kendali atau penanda dibatasi resolusi itu.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kekuatan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Hal ini memiliki keuntungan untuk mengatasi keadaan-keadaan yang kurang baik. Bagaimanapun juga hal ini memiliki tambahan pembatas dari bagian terbesarnya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sinyal yang dihasilkan sendiri</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ini menghilangkan kebutuhan akan penyediaan daya pada alat.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kebanyakan alat bersensor sensitive terhadap perubahan-perubahan daya listrik, dan oleh karena itu</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">jika daya diperlukan, maka hal ini lah yang biasanya perlu dikondisikan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pemeriksaan temperatur</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Variasi Suhu lingkungan sering mempengaruhi pengukuran alat. Pemeriksaan suhu menghapus permasalahan itu sesuai dengan perubahannya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keselamatan yang benar</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Hali ini diperlukan untuk pelaksanaan perawatan secara rinci. Kebutuhan ini secara khusus digunakan energy listrik atau energy panasnya dapat bercampur dengan udara lingkungan sekitar.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Suatu aplikasi khusus mungkin adalah transducer untuk pengukuran tingkatan ultrasonik. Hal ini tidak biasa dalam menggolongkannya sebelum pemasangan, hanya jika ditemukan transducer yang butuh ditampung.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kesesuaian berbagai material</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pemilihan suatu alat yang sesuai untuk berbagai material tidak hanya memastikan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Cocok tidaknya alat untuk aplikasi tertentu , tetapi dapat digunakan untuk suatu cakupan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">aplikasi. ini Dapat mengurangi kepemilikan suatu produk sebagai banyaknya sensor dan model yang berkurang. Ini juga meningkatkan keandalan sistem ketika peralatan sensor dapat berubah sesuai kebutuhan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Non kontak</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ini biasanya adalah sebuah peralatan yang sesuai dengan materi sensor .Sense non kontak digunakan aplikasi jika penyebab material menambah kekuatan pada probe atau alat sensor. Aplikasi lainnya terjadi jika ada kondisi berbahaya saat beroperasi seperti temperatur tinggi, tekanan atau kadar keasaman</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kinerja Handal</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ini merupakan kelebihan pada perangkat sensor, tetapi pada umumnya pembiayaan dilakukan untuk alat yang handal dan terpercaya. Lebih mahal dan handal suatu perangkat,maka kebutuhan biaya perbaikan atau penggantian lebih besar, dan juga biaya</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">kehilangan produksi jika perangkat gagal. Biaya yang timbul harus perangkat gagal, adalah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">tidak hanya kehilangan produksi (jika ada), tetapi juga tenaga kerja yang diperlukan untuk mengganti</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">peralatan. Ini juga mungkin termasuk biaya perjalanan atau tepatnya jaminan pribadi untuk peralatan berbahaya atau area.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tidak pengaruhnya berat jenis</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Banyak proses aplikasi pengukuran material yang mungkinmemiliki variasi pada berat jenis.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Variasi besar berat jenis dapat menyebabkan permasalahan pengukuran kecuali jika sudah dicantumkan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">untuk/karena. Alat ukur yang tidak dipengaruhi berat jenis memiliki ketelitian lebih tinggi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">dan menjadilebih serbaguna</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tidak pengaruhnya kelembapan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Penerapanke aplikasi terutama yang memiliki kelembapan dapat berubah-ubah, dan tindakan pencegahan dapat dilakukan pada peralatan sensor jika diperlukan. Itu yang biasanya terjadi pada peralatan sensor, terutama listrik dan daya, untuk dipengaruhi oleh kelembapan pada material.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Efek kelembapan dapat menyebabkan permasalahan pada kedua kasus, dengan kata lain. ketika suatu produk akan berubah dari kering ke basah, atau mengering saat basah.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tidak pengaruhnya daya konduksi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Daya konduksi suatu proses material dapat ber;ubah sehubungan dengan sejumlah faktor, dan jika</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">tidak diperiksa dapat menyebabkan pengukuran yang salah. Beberapa faktor yang mempengaruhi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">daya konduksi adalah:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- pH</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- kadar garam</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- temperatur</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pemasangan luar bejana</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ini mempunyai kelebihan yang sama seperti sensor non kontak. Bagaimanapun ini juga dimungkinkan untuk sensor sampai pada tempatnya, dengan mempertimbangkan tekanan yang diberikan. Pemeliharaan Dan Instalasi yang tanpa mempengaruhi proses tersebut dibolehkan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kelebihan lain dengan bentuk pengukuran ini adalah bahwa pendeteksian</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Penghalang dalam produk dalam wadahnya dapat dilakukan tanpa terganggu</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Penggunaan tekanan tinggi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Peralatan yang digunakan pada tekanan tinggi biasanya mengurangi kesalahan tanpa tergantung alat transducer untuk memberikan sinyal lagi. Bagaimanapun juga biaya pada umumnya lebih besar dari suatu sensor yang berhubungan dengan nilai tekanan lebih tinggi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ini adalah ukuran yang menentukan pantas tidaknya alat untuk untuk pemakaiannya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dua titik kendali</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sebagian besar berlaku bagi titik alat kendali. Dengan satu alat yang mengukur dua atau</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">bahkan tiga poin proses,kendali ON-OFF dapat dilakukan hanya dengan satu</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">alat. Ini adalah hal yang umum pada tingkat kendali. Jenis sensor ini juga membatasi jumlah poin-poin pencabangan yang diperlukan dalam proses itu.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Polaritas insensitiv</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Alat sensor yang polaritasnya insensitive biasanya melindungi dari kegagalan dari</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">instalasi yang salah.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Area atau titik kecil sensor</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Memilih instrumentasi untuk tujuan yang spesifik mengurangi kesalahan dan permasalahan pada rata-rata berbagai sensor di suatu area, atau menyimpulkan pengukuran titik itu dari perkiraan pembacaan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Biasanya, titik sensor melakukannya dengan transduser yang lebih kecil, dengan area atau sensor rata-rata yang dilakukan dengan transduser besar.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Menyensor dari jauh</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Menyensor dari jauh memiliki kelebihan lebih tinggi untuk membiarkan dan tidak mengganggu</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">temperatur dan nilai tekanan. Hal itu juga bisa menghindari masalah dalam pemasangan dan akses penempatan alat sensor yang sesuai.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Memahami dan membuktikan dengan baik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ini, lebih dari apapun, mengurangi tekanan melibatkan peralatan saat baru diinstall, keduanya dilakukan untuk kesesuaian dan ketahanannya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tidak ada kalibrasi yang diperlukan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Peralatan Pre-calibrated mengurangi biaya tenaga kerja, hal itu berhubungan dengan penerapan baru peralatan dan juga kebutuhan akan peralatan kalibrasi yang mahal.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tidak ada bagian yang berubah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keuntungannya adalah:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Lamanya waktu beroperasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Ketahanan beroperasi tanpa halangan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jika peralatan tidak ada perubahan atau memakai komponen, maka hal itu membuat peningkatan keandalan alat dan mengurangi biaya pemeliharaan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pemeliharaan dapat lebih dikurangi jika tidak ada klep atau jenis lainnya yang dapat menyebabkan masalah kebocoran. Ketidakadaan klep dan lainnya membuat instalasi menjadi aman; hal yang penting dipertimbangkan yaitu ketika proses pencairan tersebut beracun atau beresiko.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Melengkapi kesatuan yang terdiri atas pemeriksaan dan pemasangan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Suatu kesatuan terintegrasi memudahkan pemasangan dan menurunkan biaya-biaya instalasi], walaupun biaya peralatan mungkin sedikit lebih tinggi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">APLIKASI ARUS</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Penurunan Tekanan rendah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Suatu alat yang mempunyai penurunan tekanan rendah memberikan pembatasan lebih sedikit untuk mengalirnya arus dan juga mempunyai</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">lebih sedikit pergeseran. Pergeseran ini menghasilkan panas untuk dihindari. Pengikisan (seharusnya peronggaan dan penyiaran) jadilah lebih mungkin dalam aplikasi dengan penurunan tekanan tinggi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Penurunan tekanan yang tidak bisa diperoleh kembali</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jika ada peralatan yang memerlukan tekanan cukup ke arah hilir pada pengukuran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">dan alat kendali, kemudian tekanan alat ini turun dan perlu untuk diambil nilainya untuk menentukan nilai yang pantas. Jika tekanan turunitu adalah hal penting, karena memerlukan tekanan lebih tinggi. Peralatan yang nilai tekanannya lebih tinggi (dan biaya lebih tinggi) diperlukan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Memilih peralatan dengan kerugian tekanan rendah mengakibatkan safer tekanan operasi dengan biaya yang lebih rendah.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Alat dengan kecepatan Tinggi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sangat memungkinkan alat berkecepatan tinggi menambah besar diameter pada bagian</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">yang memberi kwantitas arus sama, tetapi pada kecepatan yang dikurangi. Dalam peralatan ini, karena berkurang dan bertambahnya bagian alat, maka pipayang bekerja perlu untuk diatur dengan aliran berlapis.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Beroperasi pada turbulensi tinggi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Alat yang dapat beroperasi dengan turbulensi tinggi secara khusus disesuaikan untuk</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">peralatan terbatas pada bagian pipa panjang yang lurus..</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Cairan yang berisi suspensi padat</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Alat ini tidak cenderung rusak secara mekanis dalam kaitannya dengan suspensi yang padat,</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">dan dapat juga meliputi variasi kepadatan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Memerlukan Lebih sedikit Pipa Lurus/Langsung</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Biasanya dibutuhkan peralatan yang dapat mengakomodasi sesuatu yang lebih tinggi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">tingkatan turbulensinya. Bagaimanapun juga alat bisa berisi vanes tegak yang membantu menyediakan aliran berlapis.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Harga tidak menambah ukuran secara dramatis</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pertimbangan ini berlaku ketika pemilihan peralatan yang sesuai, dan memilih alaty ang ukurannya lebih besar untuk suatu cakupan operasi lebih tinggi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jarak yang baik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dalam keadaan yang prosesnya memiliki variasi dipertimbangkan ( misalnya arus), dan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">ketelitian disini penting untuk keseluruhan cakupan operasi, pemilihan peralatan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">dengan rangeabilas yang baik adalah hal penting.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Laju arus sangat rendah yang sesuai</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Laju arus sangat rendah menyebabkan energi menjadi sangat kecil ( atau kekuatan) dan hal ini merupakan suatu masalah dengan banyaknya arus yang mengalir pada alat. Pendeteksian laju arus yang rendah harus dipertimbangkan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tidak dipengaruhi kekentalan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kekentalan biasanya berubah dengan temperatur, meskipun peralatan mungkin dinilai untuk cakupan temperatur, masalahnya adalah terjadinya ketidakstabilan proses material.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tidak adanya penghalang</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Hal ini tidak berarti apapun pada kerugian tekanan. Ini juga bermanfaat untuk menghindari</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">peralatan yang memerlukan pemeliharaan, atau ketika penggunaan proses cairan abrasive.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Instalan pada instalasi sebelumnya</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Hal ini mengurangi biaya-biaya instalasi, tetapi lebih penting lagi dapat menghindari perlunya menutup pabrik untuk tujuan instalasi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Diameter pipa besar yang sesuai</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Berbagai teknologi dilakukan untuk membatasi diameter pipa, atau peningkatan biaya yang cepat akibat peningkatan nilai diameter.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">2. Kerugian</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kerugian sungguh berkebalikan dengan keuntungan sebelumnya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Berkiut ini adalah hasil diskusi efek kerugian dan pertimbangan untuk</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Membatasi hal yang berhubungan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Histeresis</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Histeresis dapat menyebabkan kesalahan penting. Kesalahan tersebut adalah bergantung pada besarnya perubahan dan variasi arah dalam pengukuran.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Satu penyebab umum histeresis adalah tegangan thermoelastic.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Linearitas</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Hal ini mempengaruhi resolusi selama operasi berlangsung. Untuk kondisi unit dalam proses, memungkinkan adanya 2% perubahan pada salah satu ujung skala, dengan 10% perubahan di ujung skala lainya. Perubahan ini secara efektif merubah sensitivitas atau keuntungan dari alat pengukur.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dalam pengukuran hal ini dapat mempengaruhi resolusi dan akurasi atas</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">jangkauan. Dalam pengendalian terus-menerus perangkat ini termasuk dalam kontrol</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">loop, hal itu dapat mempengaruhi dinamis kinerja dari sistem.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Indikasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Perangkat yang hanya melakukan indikasi, tidak cocok untuk sistem kendali otomatis. Karna suatu informasi tidak mudah diakses. Kesalahan juga lebih sering terjadi dan tidak dapat diperkirakan karena mereka tunduk pada penafsiran operator.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Perangkat ini umumnya juga terbatas pada pengukuran lokal saja dan terisolasi dari kendali yang lain dan peralatan merekam.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sensitif terhadap Variasi Suhu</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Masalah terjadi saat suhu sensitif yang digunakan dalam pengukuran suhunya bervariasi terus menerus. Meskipun suhu pengganti umumnya tersedia, perangkat ini harus dihindari.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Goncangan dan Getaran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Efek ini tidak hanya menyebabkan kesalahan tetapi dapat mengurangi umur kerja peralatan, dan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">menyebabkan kegagalan prematur.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Menguatkan Pekerjaan Transduser</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Gerakan fisik dan pengoperasian perangkat dapat menyebabkan ia menjadi sulit untuk</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">bergerak. Hal ini berlaku untuk tekanan ke bawah, namun beberapa perangkat lain juga memiliki masalah serupa. Jika tidak dapat dihindari untuk menggunakan peralatan tersebut, maka kalibrasi berkala perlu dianggap sebagai persyaratan pemeliharaan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Miskin Perlindungan bagi Melebihi Batas</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Perawatan harus dilakukan untuk memastikan bahwa kondisi proses tidak melebihi Spesifikasi operasi alat ukur. Perlindungan mungkin perlu disertakan dengan peralatan tambahan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Miskin perlindungan bagi yang batas pada perangkat mungkin tidak menjadi masalah jika proses ini secara fisik tidak mampu melebihi kondisi operasi, bahkan di bawah kesalahan kondisi yang luar biasa.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Labil</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Hal ini biasanya berkaitan dengan ketepatan perangkat dari waktu ke waktu. Namun ketepatan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">juga dapat berubah akibat variasi yang besar dalam pengoperasian perangkat karena</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">proses yang bervariasi. Selanjutnya, perangkat yang tidak stabil perlu sering diulangnya kalibrasi pada saat akan dioperasikan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ukuran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Seringkali peralatan dengan ukuran besar mengalami keterbatasan. karena dalam pengukuran yang memerlukan area atau pengukuran rata-rata, dan juga terlalu kecilnya perangkat sensor bisa menjadi kelemahan dalam hal tidak "melihat" nilai proses penuh.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sensor Dinamik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Hal Ini berlaku untuk perangkat guncang dan percepatan gaya dengan dampak yang berarti. pengukuran yang umum akan melibatkan perangkat piezoelektrik.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pemasangan Kabel Khusus</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Alat ukur yang membutuhkan pemasangan kabel khusus berdampak langsung pada biaya</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">pengukuran. Persoalan lain dengan pemasangan kabel adalah bahwa kebisingan dan pemasangan kabel penyaluran. Kondisi khusus ini juga berlaku untuk lokasi kabel pada tegangan tinggi, suhu tinggi, dan daya rendah lain atau sinyal kabel.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Sinyal Penyejuk</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Terutama digunakan ketika transmisi sinyal melalui jarak jauh, ketika</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">sinyal transduser membutuhkan amplifikasi. Hal ini juga merupakan kebutuhan di lingkungan yang bising. pemasangan kabel ini berkenakan langsung pada biaya dan juga mungkin memerlukan ruang lebih untuk memasang.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Masalah kasar Kapasitansi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Hal Ini berlaku untuk perangkat kapasitif yang mana pemasangan peralatan khusus mungkin diperlukan, tergantung pada lingkungan aplikasi dan proses.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pemeliharaan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">pemeliharaan peralatan yang tinggi meningkatkan kinerja yang menjadi biaya berkala.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Beberapa persyaratan perawata meliputi hal-hal berikut:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">-Membersihkan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">-Penghapusan / penggantian</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">-Kalibrasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Jika peralatan tersebut rapuh maka ada risiko menjadi mudah rusak karena mengulangi penanganan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pengukuran Data</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Alat ukur yang membutuhkan pengambilan data dari proses berkala umumnya bergantung pada probabilitas statistik untuk keakuratannya. Yang lebih bersangkutan dalam memilih perangkat tersebut adalah respon lebih lama dan pemerbaharuan terjadi dalam menggunakan peralatan tersebut.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Alat ukur data digunakan untuk pengukuran kendali kualitas dimana data yang spesifik diperlukan dan kualitas tidak berubah dengan cepat.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pengukuran Tekanan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Hal ini berlaku untuk pengukuran dimana alat ukur terpasang dalam lingkungan bertekanan dan aksesibilitas yang terganggu. Ada keterbatasan dalam memasang dan perbaikan peralatan tersebut. Selain itu adalah prosedur dan pengalaman yang dibutuhkan untuk karyawan yang bekerja di lingkungan tersebut.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Akses</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Akses ke proses dan alat ukur perlu dinilai untuk tujuan dari:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Instalasi awal</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pemeliharaan rutin</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Awal pemasangan alat ukur dapat jauh dari instalasi akhir seperti: aksesibilitas lokasi instalasi akhir ini juga perlu dipertimbangkan. Hal ini mungkin juga memiliki pengaruh pada orientasi yang diperlukan saat pemasangan peralatan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Memerlukan Penekanan Udara</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Peralatan Pneumatic membutuhkan Penekanan udara. Hal ini sangat umum pada tanaman dengan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">banyak permintaan udara instrument, untuk memiliki kompresor yang sama saluran pneumatic memasok perangkat.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Biaya instalasi sangat meningkat jika tidak ada penekanan udara yang tersedia untuk</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">tujuan seperti ini. yang lebih umum merupakan persyaratan untuk memasuki pasokan yang ada, namun ini masih membutuhkan instalasi saluran udara.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Bahan Pembangunan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Bahan pembangunan terkait dengan proses jenis bahan yang diukur.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Hal ini dapat menyebabkan kesalahan yang berarti, atau menurunkan efisiensi perangkat operasi yang melebihi batas waktu. Ada beberapa cara untuk menghindari atau memperbaiki masalah yang terkait dengan bahan pembangunan seperti berikut ini:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pemeliharaan teratur</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Lokasi (atau relokasi) dari peralatan sensor</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Otomatis atau membersihkan diri (semprotan air)</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Terbatasnya Kepadatan Tetap</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pengukuran peralatan yang bergantung pada kepadatan yang tetap untuk proses bahan yang</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">terbatas pada pengukuran di mana kepadatan bervariasi. Variasinya kepadatan tidak akan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">mempengaruhi pengoperasian peralatan, tetapi akan menyebabkan peningkatan kesalahan dalam pengukuran. Sebuah contoh akan meningkatnya pengukuran menggunakan tekanan hidrostatik.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Radiasi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Penggunaan bahan radioaktif seperti Cobalt atau Cesium sering memberikan ketepatan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">pengukuran. Namun, masalah timbul dari bahaya menggunakan bahan radioaktif</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">yang memerlukan tindakan keselamatan khusus. Tindakan pencegahan yang diperlukan untuk perlindungan peralatan tersebut, untuk memastika keselamatan instalasi sesuai tertutup, dan persyaratan itu juga diperlukan untuk keselamatan pribadi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Persyaratan Perizinan mungkin juga berlaku dengan bahan tersebut.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Korosi Elektrolit</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Penerapan tegangan untuk alat ukur dapat menyebabkan korosi kimia untuk</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">transduser penyensor, dalam jenis penyelidikan. kecocokan proses bahan dan logam digunakan untuk perlindungan dan sensor dapat membatasi efek, namun secara berarti ketidakcocokan, menyebabkan korosi terjadi cukup cepat.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Listrik Rentan terhadap Kebisingan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dalam memilih peralatan, harus dilihat dari biaya tambahan dan mungkin peralatan yang lebih atau waktu konfigurasi yang diperlukan untuk menghilangkan masalah kebisingan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Lebih Mahal untuk Uji dan Diagnosa</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">peralatan yang lebih sulit dan mahal juga dapat meminta uji dan diagnosis</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">peralatan yang mahal. Untuk pengukuran 'one-off' ini mungkin terbukti merupakan faktor penghambat. Biaya tambahan dan ketersediaan layanan khusus juga harus dipertimbangkan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tidak Mudah Dipertukarkan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Dalam hal kegagalan atau untuk tujuan persediaan, karena peralatan dipertukarkan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">dapat mengurangi biaya dan meningkatkan kesiapan sistem. Peralatan baru yang tidak</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">mudah digantikan oleh sesuatu yang sudah ada, bisa lebih diperlukan sebagai cadangan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ketahanan Tinggi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Perangkat yang memiliki ketahanan yang tinggi dapat mengalami kebisingan cukup mudah. Umumnya perangkat ketahanan yang tinggi membutuhkan praktek yang baik dalam hal pemilihan kabel dan landasan untuk meminimalkan kebisingan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Akurasi Berdasarkan Data Teknis</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keakuratan perangkat juga dapat bergantung pada seberapa baik data teknis</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">diperoleh dari lembar instalasi dan data. Pengukuran yang membutuhkan perhitungan sering tunduk pada penafsiran.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Memerlukan Cairan Bersih</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Peralatan pengukur memerlukan cairan yang bersih untuk melakukannya beberapa alasan berikut:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kebutuhan Cairan Pembersih</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Alat ukur membutuhkan cairan pembersih dikarenakan beberapa alasan:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Proses pemadatan konstan cairan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Alat sensor yang berlubang dapat mudah tersumbat</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pemadatan menyebabkan interferensi dengan teknologi sensor</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Orientasi Ketergantungan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Tergantung pada teknologi yang digunakan, ketentuan diberikan pada orientasi saat memasang transduser sensor. Ini membutuhkan kerja ekstra, tenaga kerja dan bahan dalam instalasi awal. Sebuah aplikasi khusus untuk pemasangan secara tegak akan menjadi pengukur arus variabel.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pengukuran Hanya Satu Arah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Hal ini merupakan kerugian besar pada alat pengukur arus dimana arus hanya dapat diukur dalam satu arah. Meskipun hal ini terlihat seperti kelemahan utama, beberapa aplikasi menggunakan arus dua arah.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ketidakcocokan dengan Parsial Perubahan Fase</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Fasa perubahan adalah saat cairan yang dikarenakan perubahan tekanan, sebagian berubah ke gas. Hal ini dapat menyebabkan kesalahan besar dalam pengukuran, karena secara efektif menyebabkan perubahan yang sangat besar dalam kepadatan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Untuk itulah teknologi yang peka terhadap proses materi, perubahan fasa dapat mengakibatkan refleksi dan menyebabkan aplikasi tidak terukur.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Viskotas yang Harus Diketahui</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Viskotas cairan diukur dengan bilangan Reynolds dengan perubahan suhu. Dalam aplikasi yang membutuhkan gerak cairan dan perubahan tekanan biasanya terdapat beberapa operasi yang viskotas cairan diperlukan di dalamnya.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keterbatasan Waktu Hidup Karena Pemakaian</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Aplikasi layanan non-kritis dapat membeli alat ukur yang terbatas waktu hidup operasinya, atau waktu untuk perbaikan. Dalam memilih perangkat tersebut, pertimbangan perlu diberikan untuk keakuratan pengukuran dari waktu ke waktu.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kegagalan Mekanis</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kegagalan peralatan mekanik tidak dapat dihindari, namun efek dan konsekuensi dapat dinilai dalam menentukan teknologi yang cocok untuk aplikasi. Arus mungkin adalah contoh terbaik yang menggambarkan masalah yang disebabkan jika transduser pengukuran gagal. Jika perangkat gagal, itu adalah semacam sisa konstruksi yang dapat menghalangi bari atau katup hilir, maka dapat menyebabkan proses berehenti sampai dimatikan dan diperbaiki.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Penyaring</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Ada dua kelemahan utama penyaring:</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pemeliharaan dan pembersihan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tekanan yang hilang pada penyaring</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Kehilangan tekanan dapat membatasi proses, namun dari titik kontrol pandang dapat menunjukkan bahwa penyaring membutuhkan pembersihan atau penggantian.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keterangan Arus</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Keterangan arus memerlukan bentuk yang signifikan untuk memilih alat ukur. Catatan bahwa keterangan arus tergantung pada kepadatan dan turbulensi.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Transparansi Akustik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pengukuran transduser membutuhkan refleksi energy akustik yang tidak tepat jika bahan proses akustik transparan. Aplikasi ini umumnya memerlukan beberapa cara pengukuran.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">1.7 Alat Ukur dan Katup Pengontrol Sebagai Bagian Dari Keseluruhan Sistem Pengendalian</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Di bawah ini adalah diagram yang menguraikan bagaimana alat dan katup pengontrol termasuk dalam keseluruhan struktur pengendalian system. Pengontrol utama dan tuning adalah bagian terpisah dari penjelasan.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">1.8 Aplikasi Khusus</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Beberapa aplikasi khusus dicantumkan di bawah ini.</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Aplikasi HVAC (Heating, Ventilation and Air Conditioning)</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pemindah panas</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Billing</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Fans aksial</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pengontrol suhu</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Arus air panas dan dingin</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Penekan udara</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Fumehoods</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- System penyeimbang</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pompa operasi dan efisiensi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Aplikasi Petrokimia</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pembaharuan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Minyak bening</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Produk petroleum</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Uap</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Uap hidrokarbon</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tumpukan flare baris</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Gas Alam</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pendeteksi kebocoran gas</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Kompresor efisiensi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sistem bahan bakar gas</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Arus dua arah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pengukuran garis besar</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Distribusi garis pengukuran</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Sistem air hangat</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Stasiun halaman pipa</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Industri Listrik</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pengumpan air</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Peredaran air</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pemanas bertekanan tinggi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Bahan bakar minyak</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Tumpukan</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Jalur uap auxiliary</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pengukur menara pendingin</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pemanas tekanan rendah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pemanas ulang baris</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Pembakar udara</span></div>
<div style="text-align: justify;">
<span style="font-size: small;"><br /></span></div>
<div style="text-align: justify;">
<span style="font-size: small;">Pemantauan Emisi</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Insinerator kimia</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Incinerator sampah</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Kilang</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Ruas dan saluran persegi panjang</span></div>
<div style="text-align: justify;">
<span style="font-size: small;">- Flare baris</span></div>
</div>lahanrizahttp://www.blogger.com/profile/18270426998911579951noreply@blogger.com0tag:blogger.com,1999:blog-7316700808030502240.post-3519825449026538842010-09-25T09:04:00.000-07:002011-09-05T18:20:28.507-07:00Variabel dan Struktuk Dasar Kode Program<div dir="ltr" style="text-align: left;" trbidi="on">
<div class="entrybody" style="text-align: justify;">
<div class="snap_preview">
<h3 class="entrytitle" id="post-6">
<span style="font-size: small;"><a href="http://tutorialc.wordpress.com/2007/12/05/variabel/" rel="bookmark"> Variabel </a></span></h3>
<span style="font-size: small;">Variabel adalah komponen penting pada sebuah program komputer. Variabel mempunyai fungsi untuk menyimpan nilai atau dapat disebut sebagai konstanta. Pada bahasa C dan C++, variabel memiliki tipe yang menentukan jenis konstanta apa yang dapat ditampung oleh variabel itu. Tipe-tipe variabel pada C : </span><br />
<ul>
<li><span style="font-size: small;"><code>int</code></span></li>
<li><span style="font-size: small;"><code>float</code></span></li>
<li><span style="font-size: small;"><code>double</code></span></li>
<li><span style="font-size: small;"><code>char</code></span></li>
</ul>
<span style="font-size: small;"><br /></span><br />
<h4>
<span style="font-size: small;">int</span></h4>
<span style="font-size: small;">Variabel bertipe int bertujuan untuk menampung konstanta berupa bilangan bulat.</span><br />
<h4>
<span style="font-size: small;">float</span></h4>
<span style="font-size: small;">Tipe data ini dipergunakan untuk menampung data bertipe bilangan pecahan dengan tingkat ketelitian tunggal.</span><br />
<h4>
<span style="font-size: small;">double</span></h4>
<span style="font-size: small;">Sama halnya dengan tipe <code>float</code>, tipe data ini juga untuk menampung bilangan pecahan, tetapi dengan tingkat ketelitian ganda.</span><br />
<h4>
<span style="font-size: small;">char</span></h4>
<span style="font-size: small;">Tipe data ini digunakan untuk menampung konstanta berupa sebuah karakter tunggal.</span><br />
<span style="font-size: small;">Selain tipe dasar ini, terdapat tambahan untuk tipe yang mengubah batas atas maupun batas bawah dari rentang konstanta yang dapat ditampung oleh tipe tersebut. Tambahan yang dapat dipergunakan adalah: </span><br />
<ul>
<li><span style="font-size: small;"><code>signed</code> dan <code>unsigned</code></span></li>
<li><span style="font-size: small;"><code>short</code> dan <code>long</code></span></li>
</ul>
<span style="font-size: small;"><br /></span><br />
<h4>
<span style="font-size: small;">signed dan unsigned</span></h4>
<span style="font-size: small;">Dengan memberikan tambahan <code>signed</code> pada sebuah tipe, maka tipe tersebut akan dapat menampung konstanta dari rentang nilai negatif terkecil hingga nilai positif terbesar yang dapat ditampungnya. Jika yang ditambahkan adalah <code>unsigned</code>, maka variabel hanya akan dapat menampung nilai dari rentang 0 sampai dengan nilai positif terbesar.</span><br />
<h4>
<span style="font-size: small;">short dan long</span></h4>
<span style="font-size: small;">Tambahan ini dapat ditambahkan pada tipe <code>int</code>, <code>float</code>, dan <code>double</code>. Tipe ini akan mengubah rentang nilai terbesar dan terkecil yang dapat ditampung, tetapi hal ini tergantung kepada batasan yang dimiliki oleh kompiler yang digunakan.</span><br />
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<h3 class="entrytitle" id="post-5" style="text-align: justify;">
<span style="font-size: small;"><a href="http://tutorialc.wordpress.com/2007/12/04/struktur-dasar-kode-program/" rel="bookmark"> Struktur dasar kode program </a></span> </h3>
<div style="text-align: justify;">
<span style="font-size: small;">Setiap program komputer, dalam bahasa apapun, secara umum memiliki struktur seperti berikut ini:</span></div>
<blockquote>
<span style="font-size: small;">Bagian deklarasi</span><br />
<span style="font-size: small;">Bagian inisialisasi</span><br />
<span style="font-size: small;">Bagian kode utama</span></blockquote>
<h4 style="text-align: justify;">
<span style="font-size: small;">Bagian deklarasi</span></h4>
<div style="text-align: justify;">
<span style="font-size: small;">Pada bagian ini dilakukan deklarasi variabel yang hendak digunakan. Bahasa C mengharuskan seluruh variabel yang akan digunakan pada sebuah <i>scope</i> dideklarasikan terlebih dahulu, sebelum kode program lainnya. Deklarasi diantara kode program tidak diperbolehkan. Pada C++ batasan ini sudah tidak ada, sehingga deklarasi dapat dilakukan tepat sebelum variabel digunakan pada kode program.</span></div>
<h4 style="text-align: justify;">
<span style="font-size: small;">Bagian inisialisasi</span></h4>
<div style="text-align: justify;">
<span style="font-size: small;">Variabel sebaiknya diinisialisasi terlebih dahulu dengan nilai awal yang diinginkan. Variabel yang baru saja dideklarasikan akan menempati ruang memory yang diberikan oleh sistem, sehingga nilainya tidak dapat diprediksi. Agar program yang dibuat berjalan sesuai dengan logika program yang diinginkan, isilah seluruh variabel dengan nilai awal yang diinginkan. Pada C dan C++, deklarasi dan inisialisasi dapat dilakukan sekaligus ataupun terpisah.</span></div>
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<span style="font-size: small;">Bagian kode utama</span></h4>
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<span style="font-size: small;">Pada bagian inilah kode program dituliskan. Kode program ditulis sesuai dengan logika program yang diinginkan dan dengan tata bahasa yang dimengerti oleh kompiler yang hendak digunakan. Penulisan kode program yang menyalahi tata bahasa akan dapat dilacak dengan mudah. Kompiler akan menampilkan nomer baris yang memuat kode yang salah. Tetapi kesalahan logika pada kode program merupakan kesalahan yang sangat sulit untuk dilacak. Penulis program harus merunut kode program yang ditulisnya untuk menemukan kesalahan logika ini, agar program yang dibuat dapat berjalan sesuai dengan keinginan.</span></div>
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<span style="font-size: small;">Kesalahan logika paling umum adalah penulisan operator komparasi dengan operator <i>assignment</i>. Lihat potongan kode berikut ini:</span></div>
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<tr><td class="number"><span style="font-size: small;"><code>1</code></span></td><td class="content"><span style="font-size: small;"><code class="cpp
keyword bold">if</code> <code class="cpp plain">(a = b)</code></span></td></tr>
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<tr><td class="number"><span style="font-size: small;"><code>2</code></span></td><td class="content"><span style="font-size: small;"><code class="cpp plain">{</code></span></td></tr>
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<tr><td class="number"><span style="font-size: small;"><code>3</code></span></td><td class="content"><span style="font-size: small;"><code class="spaces"> </code><code class="cpp
functions bold">printf</code><code class="cpp plain">(</code><code class="cpp string">"a is equal with b\n"</code><code class="cpp plain">);</code></span></td></tr>
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<tr><td class="number"><span style="font-size: small;"><code>4</code></span></td><td class="content"><span style="font-size: small;"><code class="cpp plain">}</code></span></td></tr>
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<tr><td class="number"><span style="font-size: small;"><code>5</code></span></td><td class="content"><span style="font-size: small;"><code class="cpp keyword bold">else</code></span></td></tr>
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<tr><td class="number"><span style="font-size: small;"><code>6</code></span></td><td class="content"><span style="font-size: small;"><code class="cpp plain">{</code></span></td></tr>
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<tr><td class="number"><span style="font-size: small;"><code>7</code></span></td><td class="content"><span style="font-size: small;"><code class="spaces"> </code><code class="cpp
functions bold">printf</code><code class="cpp plain">(</code><code class="cpp string">"a is not equal with b\n"</code><code class="cpp
plain">);</code></span></td></tr>
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<tr><td class="number"><span style="font-size: small;"><code>8</code></span></td><td class="content"><span style="font-size: small;"><code class="cpp
plain">}</code></span></td></tr>
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<span style="font-size: small;">Apa kira-kira hasil dari potongan kode diatas?Potongan kode diatas akan selalu menghasilkan tulisan “a is equal with b”, karena apapun nilai a, nilainya akan digantikan dengan nilai dari b, sehingga kondisi pada if akan selalu bernilai true. Pada C dan C++, untuk melakukan komparasi, tanda yang digunakan adalah ==. Kesalahan ini yang seringkali sulit untuk dilacak. Siapa saja dapat melakukan kesalahan ini, walaupun sudah menulis banyak program dalam C maupun C++, tidak terbatas pada pemula saja.</span></div>
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