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README.html
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<meta charset="utf-8">
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<h2 id="germinationmetrics-seed-germination-indices-and-curve-fitting-"><code>germinationmetrics</code>:
Seed Germination Indices and Curve Fitting
<img 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Iy0Fghhh3ggGzXgV9+loZ1ALjCO9lRwOitYp3V7R0yTlgNd5fEr3MwE+tkdik91JY87IEspC6GLulLMe9F9aej1eLiZlXxkdyCiKUkOdDOYjlQxTfuSxxmoLgR9OzmEiG1VqFkNh+0OJKD5OJnEcrbaHYg4Rt+LT6zJJQUHt+HhNnSuBpCESgpa2B2IECIoxajxCKV2B+JXJfAcSdzFlxTZHYyQMQc6cJDLaOBd4Heo3kP9uFDjCrohrQVCRJIE1HiERNR4BD27GlzAYKq5hhyK2cMq9J5/EfWk5cBOA8nFwUzgNLtD8cmBOrG0R9fhkEKIYNWgxiLsQ+9Lr4MVOJjEcr6yO5RYJcmBHXLJwcF9eBiHzkP5WqBaC/Tt5BBCmFGB6mo4ancgfnmAt3DyF5azw+5gYo0kB+F0rOTx/ejca5+EailoZXcgQoiQKgK2o9Zt0JcqxZzGdBZrHmkUkeQgXNRSyk8Cx9kdik91JY/bonN7hhDCSpFTinkHDu5iBa/YHUgskOQg1AbRCzdP4uBcu0PxSZZSFkLULQ293+5AAlqEh8msZI3dgUQzSQ5C5WRakcB9qG4EfS+5UvJYCFFfKao+gt4TCtXS0B7+wioO2B1MNJKpjFYbRhyZjCOOd4Dh6NpAn4BKCqTksRCivnjUEuspqERBz64GBw764WAc7YFMlnNA00gjlLQcWGkgw2vHFfS1OxSfnEAb1NgCSQ2FEP64Ud0Me9E1SaizEQe3sIIFdgcSLSQ5sEIunfHwIA7G2h2KX1LyWAhhRiWwi8goxQyTyedHuwOJdJIcNEdfUklgCh5uR00A1FMKKilIszsQIUREK0HVRyixOxC/qoBnieNullFodzCRSpIDcxzkcinwOOqyq6c4IAfVjSCEEFY5hGpJqLI7EL/24OE+juMfvKl5p4iGJDkwKo88apiBg6F2h+JT3VLK7ZFxBUKI0IicpaHzUV0NS+0OJJJIchCsAbTHxb3alzxOR7VlSMljIUQ4VKBaEQrsDsQvVYrZzRRW8bPdwUQCSQ4COZEEkrgBeAB16dVTIiopyLA7ECFETCpE1UcoszsQv0px8CjxPMLXmkdqM0kO/FElj2eiFirWk4tjJY/ltymEsJMHOIgqxVxtcyz+7cTBVFbwKnqvT2kbuZx4M5A+tfUKzrE7FJ/qSh53RBUtEUIIXdSgEoQD6H3p9fA5LiaznNV2h6IbSQ7qG0ImldwL3IjOQ/nSUUlBit2BCCGEH+Worga9l4ZWpZjjmcIy9tkdjC4kOQC1lLKHP+DgISDb7nB8SkDNQMiyOxAhhDDgCCpJqLA7EL+OANM5ygy2aB5pGEhyMIAROJkBnGR3KD7VLaXcDvmNCSEiU+QsDb0JD39hJfPtDsROsXup6U8PXDwEjLY7FL/qxhXI4khCiGhQhVoa+iC6j0dYWDseYa3dodgh9pKDE0kjmVvxcAc6rzIgJY+FENEskkoxwz3kaz5ywmKxlBw4GcQYPPwvauKfnuJRJY+zia3fjhAiNhWgxiNU2h2IX4eAB+jOM7FSijk2Lj+DOAUPM4FT7Q7FJyl5LISIVXWlmPegd1cDrMLNZFbxhd2BhFp0Jwf96ICLh3EwBp3/r7KUshBCRNbS0C4m8i0/2R1IqOh7wWyOXFKACcBd6Nxrn4RKClrYHYgQQmikCDUeQe8Cx2XAUyTxEF9SZHcwVou+5ECVPH4K6Gp3KD7VLaXcmmj8DQghRPN5UC0I+i8NvQsHd0ZbKebouTTlMhCYAZxhdyg+OVADDdujEgQhhBD+VaPGI+xD70uvh+XARFbyjd2hWCHyk4NTyKKGe4iEkseylLIQQpgTGaWYPXiYjYvbWM5eu4NpjshNDnKJB8YDf0PnhYoTgQ6oYkZCCCGaJzLGI5Tg4DGO8HCklmKOzOQgj5G4mQmcYHcoPknJYyGECI3IKcW8BbiTfN60OxCjIuuydQo9qeEJYJTdofiViSylLIQQoVaNqo2w3+5AAnDwKR5uJp/v7Q4lWJGRHPSnJS7uAG5G51UGpOSxEEKEXymqq6HY7kD8qsbBS3iYSj4H7Q4mEN2Tg7qSx48CbewOxqd41LgCWUpZCCHscwSVJOhdivkwcD/p/J3FVNsdjC/6JgeDGIaHGUA/u0PxyYlKWXJq/y6EEMJeblQ3w150H4+wAQ83s5IP7Q7EG/2Sgzw6UcNDOBhrdyh+ZQCd0bmTQwghYlcVaupjJJRidjKJ5Wy1O5D69EkOcknBwW14uB1VWFhPyahxBel2ByKEECKgyFgauhJ4jjjuZhmFdgcDehQNcpDLaOA94HfoWjvQhZqB0BVZIEkIISJFAmo8WCJqwKLb3nB8cAGDcXMNORSzh1XYXA/S3paDgeTiYCZwmq1x+CNLKQshRHSo4dh4BD2TBMXBChxMYjlf2ReCHXLJwcF9eBiHzkP50lHjCvTt5BBCCGFUOaqAUoHdgfjlAd4CbiWf7eE+eHiTgxNJIIkbgPvReaHiJFQXgr5FmYUQQjRXEbAdlSzoqxQHj5LGdBaHL9LwJQdqKeUZQPewHdMoF9C29qFve4YQQgirRE4p5h04uIsVvBKOg4U+OcilNw6exMNvQn4ssxyohZE6oetwSCGEEKFUg0oQdC/FDIvwMJmVrAnlQUKXHAwhk0ruRa2cqO8lNxWVFKTaHYgQQgjblaGmPhbZHYhfbjzMoZpbWROadMb68ffDiCOTcbh5GxiOrg308ajBhlLISAghRJ141NTHFFRtBD27Ghw46IeLcbQHMlnOAWsjtbblYCDDa8cVnGzpfq1UV/K4HTI1UQghhG91pZj3oPfUR9iIg1tYwQKrdmhNcjCQ43EwDRhtyf5CRUoeCyGEMCpSSjF7WIiHSaxiXXN31bzkoC+pJDBF+5LHspSyEEKI5oqMpaGrgGeBe8jnqNmdmE0OHAxiLB4eQTXQ6ykOtWKivos9CyGEiDSHgF2oy7C+DgEP0J1neNP4eATjyUEeeXiYiYchhrcNFyl5LIQQIpTcwD7UeARbV0EIaGXt1MclRjYKPjnoRwdcPIyDMYa2CzcpeSyEECJcKlCtCHqXYgaYTw0TWM22YN4c+CI/hGQqmQhMReeFiqXksRBCCLsUocYjlNkdiF+lwNOU8yBr/Y+c8J8cqJLHM4FuFgZnrTiOlTzWtz1DCCFEtPMAB1GVFqttjsW/nTiYygpexUeniPfLaR79a8cVnBnK6JqlruRxR1TRCiGEEEIH1aixCAfQfTzCMmAS+Sxr/ELD5OBYyeMb0XkoXzpqamKyRfurQTW2CCGEEMFwoabJ+1OO6mooDH04zaBKMcczhWXsq3tSJQe5xKPWQLgPaGlLeMFIQM1AyLJwn25gPbov2SmEEEI3nVEz4wI5giqiVBHacJqpGAePc4SH2UKFgzxG4mYGcKLdkfnkRFVTaIf14wqKgE0W71MIIUT0SwH6BPneyFkaejMw1UGu5j0ideMKQlXy+CiwJUT7FkIIEb0SgZMMblOFGo9wEK3HI8hSyvU50HmkhRBCCLu5ad4iTHUrAmejdSlm/ZKDeFTJ42zCPzUxDugb5mMKIYSIHAXAVgv2kwL0qt3fTqDSgn1aSJ/koK7kcQfUGAMhhBAi2rVCFe/TrBSzHslBBqoLIdHuQIQQQogwc6JazLNQpZg1WBra3uRASh4LIYQIFw9qpkBN7d+rUdchPW6T1cD7bqhu9Z3YWn/Hnh+JC1WvoDVS8lgIIYQxNahBgVX1HjX1HtW1D4+XvzdW16XdEX2uR+lAb1QLgk1LQ4c3OXCgMqL2YTjyDxgvOKH32txCCBHdKlEX8EoaXvjrHtW1f1rZL+8B9qOuTx0t3G9zOVDdDC2BvagxCWEcjxC+5KAF6gdvVcljIYQQkcONuuhX1D7q/l5d+6fdN2f7UYX2dOliqONCDdSvm/p4NDyHDf2PIRH1H2sV8iMJIYSwkxt1oS+r/bOcY4mA3Rf/QDyoirm6XqsSgeMJ29LQoUsO6koet0WmJgohRDTxcCwJqHuUE/lr1GhWa8CrdFTJ5hCXYg5NcpCJ/UspH09wVawOoMpYgj6DUYQQQidlqEp+ZagR9GU0r0qgaB4H0AZ1rd2D6hKxmPXJQRpqKobdkoJ8n50JjBBC6KYG1XRdgkoISomdRCDY64Yu4lA1gkqxvAyzbkMvhBBChFMV6sJSVPuI9K4Bs5yom1sBSHIghBCxxc2xRKCQkA9sixg5yMJ79UhyIIQQ0a4KOIJKBooI2SC2iBSP6r9vZ3cgepHkQAgholEFKiEoQI0fiHZO1BXNhbrgu2ofdc856/0ZV++1eGQwuheSHAghRLSoRCUD0ZAQOFAX7njUmgNxHLuYx9V7uGpfF5aS5EAIISJZDaqF4BBqYKEmS/765UDNDKi76CfWPly1f9Zd+IVt5McvhBCRqBRVp6UAPccQOFHl8hO9PGQKufYkORBCiEjhRiUD+7F1Od8GXEAKqiUgud6fcnWJaPLrE0II3VWhWgkO4H3Z4XCJRyUCdY+6lgERdSQ5EEIIXZWjluo9TPirFNa1CKQBqbV/l+6AmCHJgRBC6KYMVTP/COEbYOhCLeqTVvtIQab4xTBJDoQQQhd1SUFBmI6XDrSo/TM1TMcUEUGSAyGEsFslavndw4S2pSAOyKh9pCNXAOGTfDSEEMIuNaiWggOEbkxBAtCSYwmBdBWIIEhyIIQQdjgI7CI0sw/igFa1jzQkIRCGSXIghBDhVAJsx/o6BQ7U+IFsVCuBJASiGSQ5EEKIcKhBtRQcxNpxBQlAWyATOaMLy8hHSQghQu0wsAPruhDqWgnaIOMIREhIciCEEKFSBfwMHLVof04gC5UUJFm0TyG8kORACCFC4TBqbIEViyK5UAlBa6RKoQgLSQ6EEMJKblRrwWEL9hWHSgraoBIEIcJEkgMhhLBKCbAVVdSoOZxAOyQpELaR5EAIIaywF1XlsDkzEZyoqYg5yNlZ2Eo+fkII0RzVwDaaP+iwFdABWQJZaEGSAyGEMKsM+BGoaMY+koFOqCmJQmhCkgMhhDCjANViYHZNBCeqpaA1UqdAaEeSAyGEMGoXaoyBWRlAZ1R1QyE0JMmBEEIEy41qLSgwuX0c0BFVyEgIjUlyIIQQwahCjS8oMbl9BtAFKWIkIoIkB0IIEUgFsBlzAw+dqNaC1pZGJERISXIghBD+lAJbUC0HRiUD3ZF1EETEkeRACCF8KUJ1JZhZH6E1qsXAaWlEQoSFJAdCCOHNUVQpZKNTFZ2omQgy6FBEMEkOhBCiscOoWQlGSyEnAscj3Qgi4klyIIQQ9R1CJQZGZQDdkIWSRFSQ5EAIIeqYTQzaoqodSqVDESUkORBCCFBdCT8b3MaBGl+QbX04QthJkgMhhCgAfjK4jQvVjZBhfThC2E2SAyFEbDuK8cQgHuiBqmMgRBSS5EAIEbuKUNMVjcxKSEQlBokhiUgILUhyIISITaWoAkdG6hgkoxIDWR9BRDlJDoQQsacCVRLZSOXDFFRiIGdNEQOksKcQIrZUoxZRMrJWgiQGIsbIR10IETvcqBYDI6srpqISAyluJGKItBwIIWKDBzUrocTANpIYiBglyYEQIjbsAo4YeH9dV4IkBiIGSXIghIh+B4F9Bt5fNytBEgMRoyQ5EEJEt2Jgu4H3J6BWVpQRWSKGSXIghIheFRgrcpQA9Kz9U4gYJsmBECI6uVFFjoKdsugCjkMqHwpBNDecbQMqg3hf/SlNRkqoCiH09jNQFuR7HUB31CBEIUQUJwfFGJvLLISIHvtRSzAHqzPQIkSxCBGBpFtBCBFdioCdBt7fHsgOUSxCRChJDoQQ0aMKYwMQM4Gc0IUjRKSK3m6Fdqga6oEUou40hBCRzYNKDIL53oOqftg1ZNEIEdGiNzkItpnQzbHkwBGiWIQQobcbNdYoGPGomQnynRfCK+lWEEJEvkJgb5DvdaKKHMWHLhwhIp0kB0KIyFaFWlApWF2QKYtCBCDJgRAisv1M8OMM2qIGIQoh/IreMQdCRJH2LdszrOcw2rVoR3l1ORv2bmDplqVUVgdT6SuK7QeOBvnedKBDCGOJEKmJqZzV6yy6ZXXD6XSys2AnizYu4nCJkcIQItpJ+EN5XAAAIABJREFUciCExo5vczyPXfoYF/S9AIej4ei5gtICHvnwER7/5HGq3cHeOkeRUoKvZxCPqoAYwwMQUxNTuWfUPUwYPoHk+OQGr1W7q3n1m1f56zt/ZV+hkeUrRbRykGtx0eA0oJelewyt3cCe2r87gIE2xiJEPcN6DuPtG96mVUorv+9buH4hFz93MUXlMTQn1wOsA8qDeK8Dtfxyekgj0lpORg4LJiygf6f+ft+3o2AHo54exfe7vg9TZBGoADVlFtQ6HCfZGEudjQQ/UydIMuZACA2dkHMC7974bsDEAGBkn5HMuW5Ok5aFqLaL4BIDUBUQYzgxSIpP4t3x7wZMDAA6terEggkLaNeiXRgiEzqT5EAIDT19xdO0SAq+2P/5fc/n8kGXhzAijRShxhoEoyWqIFoMmzxiMnld84J+f8dWHZl20bQQRiQigSQHQmimX8d+DO893PB2k8+aHIJoNFODWnE1mM7QBNS0xRjmcDiYOHyi4e2uPvVqslKyQhCRiBSSHAihmZF9RpraLq9bHhk/Z8ARiwPSyXaCW4odVGnkGB9yfVL7k8jJML54hMvp4qyks1RhKVnKPiZJciCEZjq16mRqO6fTSccWHeFH1EDbaHOE4JdhziGmxxnU6diqo+ltO7fprMZ2bEGVmRcxRZIDITTj9pg/E1fX1E5p3AMcsCYeLVShih0FIw1ZabGWJZ+lQoxVoBRRIcYb3YTQz7ZD20xtV11Tza4Du449sRM1IC8a1hDYQXBVEF2o7gTNJ2488LsHiHcZ/8U88P4DlFSUBP3+bQe3GT7GL9vurrdtXauNVJeMGZIcCKGZD9d+aGq7JauWUFxab7KzGzhI5N9FF9Q+gtERNfdcc3/59V+aFCIKxmMfP2YoOdi4byNbD26le3Z3Q8cpryxn0YpFDZ88gCQHMUS6FYTQzKZ9m3hn1TuGt5v+z+lNnyy0ICA71aBaDYKRQfBLtceQ//3ofw1vM+vNWRSVNiqqVYL6fYiYIMmBEBqa9Pok9hYGuwYxvPTeS3z8zcdNX4j0pRe2o8YbBBJHzE9b9OXFpS/y8Tovnw0f1v+0nr/939+avuAhuN+FiAqSHAihoR0FOzj3qXPZURD4tvm1j19j/PTxYYgqzAoJfnZCZ6JjbEUI1LhruPyFy/l0w6cB37t261pGTRpFYUmkNzmJ5pLkQAhNrd6xmtyHcvn74r9TWlHa5PUfd/7INfdew1VTr6KissL7TiKg/90rN6rVIBiZQOAq09FhD2p6Yd0jyBkpR0qP8JuZv2HS65PYU7CnyetHi48y7aVpDLl2CD/t9jE1wYEqLCVigiy8JAsviQiQfCSZwS0H07FtR4pLi9myYws//PhD4A07Am1DHp71dgLBLA4YD5xAxA2tLn2m1NSAxNYjW3PwyMFjT6QAfYztw1npZED1ALp36E6cK46f9/zM8nXLqaoO0GeQDvQ0GnEUipGFlyLsKyVEbCpLL2Pxd4uDm85XJ47IHKBXSvBrJ3RGzmIGuRPc5O/IJ399vrENI33WizBEuhWEiARm5u93rt0u0vxMcCV7M1F1HIRxRsdoZCMVJ2OMJAdCRIoM1Ij8QN9aB+rkH4n98PtRLQeBxKG6TIQ58UAPghtDkIn6PImYEvENcsnxySTGJ3KkNDJXm3E6nHTN6kqr1Fa0SmlFYVkhB4oPsOvILiqrI30emv2y07LpmtWVliktKSgtYPvh7Rwoan5d4cS4RHq06UFGcgZOp5P9hfvZfng7ZVVlFkTtRxaQjBorU0jDO2wH6u6uPZAa2jCCkZ6UTuu01jidTvYV7qOovMj/BlUEvyZEJwLe+WamZpKVmkWNu4b9RfsprrC4UzbSJaPGK+wGDtF0/YQkVFdCiAofJcYl0i27G6mJqbRKaUVVTRXFFcUcKj7EjoId1Lgju6hCZmommamZVNdUs79oP6WVwWS9+oi45ODE9idyZd6VjOg9gpM7nExqojoL1rhrWL93PYs2LuKVr19hxc8rbI7Ut55te3Jl3pWcfcLZDOw8kKT4pCbvKa8q59tt3/Lphk/519f/4udDwRaWt4fD4eCCvhfw+8G/59Tup9IyuSV7ju7hw7UfMun1SWGNpXt2d8adPo5Lcy+lR5seTV7fenArc7+dy98X/509R5uO3PYlJyOHa4Zcw8UDLqZ/p/5Nyt9W1VSxaOMi/vX1v5i7fC4eT4iWs0sBjkeNPyit/TOu9nkbv9EOh4MRvUcwZvAYhvUcRpeshoUHDhYf5IMfPuCVb15h4fqFTXewk+CK7LTE5wVr6HFDGXf6OM4+4Ww6tOzQ4LXN+zczf818Zn0+iy37twT1f4p6cahWgY6oIkdVqK6oBFTyYKH0pHQu6n8RI/qM4PTjT6drVlecDu/NYJXVlWzev5klW5bw6fpPmf/9fMqryq0NyGLxrnjO63seV51yFacffzrtWrRr8PrOgp28//37vLj0Ra2vT3UiZrZCp1admHH5DC7qfxEOR+CO1/lr5nPTazc1uKhekXcF1512XcM3VtCwUIyXfrV5q+fx98V/Nxd4PQM6DWDaRdM454Rzgvo/1Klx1/D+9+9z73/vZfWO1c2OA+De8+7l9ONPN7TNyu0ruf3t25s837tdb175wyvkdc1r8trSLUs549EzfO7zwd89yOBugw3FAXDnvDtZvm15g+ey07J5+KKHuXbotcQ5A18lj5YdZcJrE3j1m1f9vi8pPom7R93N5BGTSUlICSq+xZsWM/alsews2BnU++vrk9OHpy5/yvB2Px38iT/N/lNQ723boi2z/2e24WPsObqHq1++usnzZ/Y4k8dHP86gLoOC2s8HP3zAda9cdyw5KwQ2B7GhCzU7oVFzeE5GDs+PeZ7z+54fcBeV1ZU88tEj/G3+3xrcnZ7f93wmDp8YVPz1fbL+E59VCHO75DL9oqaVK4f3Hu7zwujP5ys/bzirwAmvrXuNf3z5D5/bzBs/j9QE401JV7xwBYdKDhnerrFOrTox9bdTGTN4zC83c0YdKT3CP7/+J498+Iih4mC+9O/Un0cvedTwdiu3r+T2f9zeZLbCxQMuZvrF073ejDTm8XiYvWw2N869MXBrWrBidbbCeX3PY/b/zCYjOcPQNmf2PJOrXryK979/H4CuWV0Z2Wek4eOv37ve8Db1JcYlMv3i6UwcPtHUCcHldHFBvwsYdfIonv/ieaa+O7XZ3Sh9O/Y19bNo7Ly+5/HauNdMf+n7d+pvKo4nFj7R4N+/6/c7Xhj7Aq3TWwe9j4zkDP517b9oldKKpz7zfjHu3a43b/zpDU7ucLKh+Ib1HMYnkz/hjEfP4GDxwcAbNIrLzM/k+13fB/3e5PhkU8fYenBrg3/HOeN4+KKHueXXtxj6bJ970rl8eduXnD3zbLbs2xJ8ieQONEkM8rrm8f5N7wf9u0+IS+DuUXeT1zWPS5675Jfm3o6tOpr6mew+6rsvJCs1y5LvWZ1fDfxVk+dWHPR/Fzqs5zBD5846ifHNK5IR54zjr+f+lam/nUpiXPP21TKlJZNHTOZPZ/yJ++ffz2OfPNasbofM1ExLfi9pyWk8+z/PMmbwmKC3cTgcjD11LH1y+nDuU+caPj+Ei/YDEq/Mu5J5N8wz9eFukdSCeePncfmgy0MQWXBap7dmyZQlTB4x2VRiUJ/L6WL8sPGsnLqSAZ0GWBSheRcPuJi3//y26cTACg6Hg/vOv493bnjHUGJQf/snRj/BsJ7Dmrx2Vq+z+Or2rwwnBnXqWlSiVVJ8Ev/583+49exbTX22u2V3473x75FyJAWCaTFOpcnUzNwuuSy8eaGp3/1vTvwN/73xv82+cImmstOyWXzrYu6/4H5Lf74pCSlMv3g6i25ZRHaavfN0szKyWPjUQkOJQX2Dugzi9T++3uzrQqjoGVWtX/X8Ff+89p+4nObnY8U543jlD694PfmHWk5GDl/c+oXX5vbm6JbdjS9v/5LRuaMt3a8Rp3Y/ldnXzTa17KxVnA4ns66axb3n3Wuom6Yxl9PF82Oeb/A5O6vXWSyYsIBWKc0b8n/uSefy6z6/btY+dORyunjjT29wQb8LmrWfPjl9mH6plwWjGqubgVHv19y2RVveHf8uLZJamD7+8N7DmXH5DNPbi6Y6turI0tuWctpxp4XsGGf0OIOlty2lU6tOITuGP2kpaXz0zEcMPsF4l2h9w3sPN9WVFQ7aJgetUlox+39mkxDX/HqdCXEJzB03l/Yt21sQWXBSElJ478b36N2ud0j2nxyfzJzr5gTVx2q17LRs3rr+reAqvFUBm4A1wGpgHcHXyw9g1lWz+POZf7ZkXz3b9uSKXleAB07pegrvjn/X60BRM24941Y12CuKPHnZk5Z99v504Z9omxmgjGMb1IDLemZdNavJoEMz/nzmn7l6cNNxFMK4FkkteP+m9+nVNvRlcnu17cUHEz9odgJvlMPhYO5Dc8ntk2vJ/m4beRsJHv3qUmubHDx80cN0bGXdROZ2Ge2YcNYEcxsXoC5w9R8BTvazrpoV9OAss+Jd8bzxpzdMDegzpRTYBC9e/GLwJ+UKoAiVJNQAZViyUuBff/VXrj/z+ubvqJ5rh17LSeUn8cGED0hPsq7iy1n9ziJzT6ZaKyBEExgA9bNu/Dm1ujuzCi5qe5H575IXiQmJXHfhdb7fkICanlnP+X3P5+IBF1sWw7NXPUtee5MtfIU0/blbNM4sKIe9HN+KGbU/NtpnEGtdvHTNS/Tt2NeCgwfnxPYnMue6Oc1qOTSkFG4+42bOO+M8y3aZk5nDxW0uDq5ceBhpmRyc1P4kxp0+zu4wjqlCfdnrP/yUsb104KVcM+SasISWFJ/Eq9e8amo0smE1cOkpl/K7034X+mMFcEZf3zMgzDpr0Fl88uQnZKZZO7E7Pi6e3wz5jVokJ5QzUt00/ZxaPPurbcu2vHjri9buFBiRN8L3i51pcKZyOV1MvziIrggDUpJS+MOwP5jb2Nv5IZxLG1d6Ob4VJQJKGu0zwA3R1adezSUDL7HgwMace9K53Dj4xrAcq2+3vkz70zTL9zti0Ag1lTfUNxAGaJkcTDlnSrPGGdgpJSGFJy97MqzH7JHTg4eHP2zNCcGP7JbZzPhL9PbPupwu2mW1C/xGE04+vnZQ4yGCXzdAQ6nJqWS2sL4qzuCTBnv/zrdEVYas5/y+53NCzgmWxyDMS09K59FLjU8NtMpDlz1Em6I2Ib+wtslsQ2KC9QNYh/Ydqv5yAG1aELRLDtqkt+GKQVfYHYZpk0dMtrQ7JFjXn3c9nQ93Vk3LIdK/Z386tGl+H28sOqF7vYvZHkKeyEWa1ORUslpmNXzSiaqE2IiVXRrCGrf++lbapLex7fgtUltw94V3w09oc+dtROd29epT78aabqFm0i45uGzQZZYMQrRDUnySqZGn+evzGXP3GE667CT6XNqHq6ZeFdxyvPUkxCdwx1V3qL5BqbqsnW7tux37RzWqBUE00KRFoh1Nahp0aNmBYb2GhSskEYTk+GTGDxtvdxhc97vryHJnhbbrLkTSUtJIiK/9sHuA5td5ajbtkoPm9ll5PB62793O2q1rKasIb/p1We5ltG0RYNR1I/MWz2PIH4Yw54M5rN26lg3bNjD3o7kM+cMQlq9bHngH9Yz97ViSSFKV5hrXSRe2Sk9pNMCxwJ44dNbkZ+RlhuIlAy/Rdl54rLo873Lbaw4AJCcmM+7CcSrx1qRp3ogGn/8CwjtuxQutKiSmJqYytPtQ09t/+NWH3PzEzWzYtgFQg4xuvOxGpt04jThX6P+rV+QZ6w4pLi1m3APjGpZDrffaHx/8I6v/HXy55LSUNH596q/57xf/VRXnugTcRIRJemqjC18Jx9ZEEABNR5wX0WQBqeZUtauorODFeS8yf+l8jhQdoXfX3ky4fAIDew80vc9ASitLm1SVpBq6te1maoR9QWHTrDLcN0GNNafIXEVlBW8veptlPyzD4/EwoNcALvv1ZaQkBVemvLErz7mSR/71COxCJZcWrw8RSg0+Dx7UOcLGJcm1OjXldckz3aUwb/E8Lr3t0gYlNUvLS3n0lUc5eOQgL93zklVhemWm5O3rn7zOoaO+25e/2/QdX6356thglSBcOOxClRwcxOtgrlAoLS8lf30+BwoOUFVdRXJSMpktMunWvlvoFh9CtRK98M4LPPvWs+zYt4MTjzuRh8Y/xOn9ja0Z4c2HX33I9H9OZ91P60hLTuOisy7ivuvva3p3G6TU5EZXOQ9qJkFas0O1xeHCwzwx+wk+W/EZhcWFDOg9gAdveJAuORZmpI1GxzsdTn7Vs2n54GCUlpcyatIoFucv/uW5b77/hjkfzGHOg3MYPTI0BcWWblnKcVOPa/jkDih9p5TkRGNXrqrqKjKHh2iJRJMykjMY3mu4qW137NvBeZPPY83mNQ2ef+ilh3h/5vv07NzT8D779exHj8492Lx9s7pBMr6LoOzYt4PHXn2Mr9d8TVlFGb/K/RV/u/5vZGVkBd44WMVIclDnxPYnmtrucOFhrrv/Op+1tl9+72WuHnU1w3KHNSM6/87ocYbhaoGffvtpwPd8+NWHhpKD0/rVq0q2i5AmBzv27eCvz/yVtz972+fdSyhbbB548QHuff7eX/79xcovGDl+JIueW8SQvkNM73fBlws4/+bzcbtV38yBggM8MecJVm9azcJZC03d8Tnwsk0ZEZkcHC48zJBrh7Bp+6Zfnlu7dS2fLf+MFa+uICc7x5oDNRo70ymzk+lqiPe/cH+DxKBOVXUV191/HUP6DqFjm/APJI50Z/Q4w9QNXY27htG3j26SGABs2bGFS6ZcwopXV5iaGTAib4RKDoqAo1h+Dvxx548M/Z+h7D98bNrRDz/+wBcrv+Cbf35jutWjCZvHjmnVedcnp4+p7Z55/RkOF/ovuzfrzVmm9h2sM3ucaXibVRtX+X4xE+gJ35Z8a2ifPTr1IC2l9opTBjRvfSafVqxbQd8r+jLngzl+mzWra/wUhGiGn/f8zIP/eLDJ8xWVFYyf3rzBUX958i+/JAb1fbb8MxZ8uaBZ+24gQgeOTntpWoPEoM7uA7u557l7rDtQo1y/Tztz54cjRUd46jXfq1wWlRYxc+5MU/uOdUZXdq3z7uJ3WfbDMp+v//DjD7yx8A1T+z5jQL0aKCEYezBl5pQGiUGd77d8b+3nKDSnzqDplRyY/PLP/Wiu/zc4YUH+Aq99+1bp17Gf4W227/VRcqwz0A1Ihy0Fxtaddzqd9OtRL5YQLPh1uPAwoyaP4khRiDKPILy96G2fv8/Vm1b7T7z8WLd13S9jVryZt3ieqf16FaHTGd9c+KbP197+7G3rDtTo52O2FPlbn74VsF/+3x/+O6RdYNHKbBXYV94PvCDZnA/mmNr3oBPqxVSEquxqkbKKMuYvme/z9bcXhe7zH25aJQdmvvw79u3wfTJ3oKZD9YWS7iWs3hn84D6jjBZlKS0vpbTcy6e2BVBvgbmdBTsNx9K3R73ypYVY/iG7/4X7vWbO4bR6o//fZf76fFP7XbOlaTNnfd9t+s7Ufr2KwBklR4uP+k5qUYljqJJGs8nBFyu/8P1iAtARdmfuVktHh4OVa5U5UJ3DjR9hYmYNBY/Hw1drvvL9hnigLXxT8A1uj/EvSfcO3Y9NCwRLZwZt/Hmj35vMrTu3+nwt0miVHJiZDrP2x7W+X+yMWv+9tvDahr2+7wibIyEuwfACMOWVPuraNvoRVFRXUFZlbDRyp7b1Ksd4UAmCRSqrKpm9YHbgN8ajEp0soBWq3y8Fy05cBUU+vvEuoCMcjDfXZOIz6XEAbWFvloUTkCOw5eBo8VHfLyYDXWFP0Z6QHNtscbH8DT4SxSSgD9AWSIPl241NHTatHdadeVsA/bw8wjCWJTUx1dTCV3sO7uFAwQHvL2YAJwId4WjqUbYd2mZ4/3GuOI7rWG8QqIXJgd/ENw0OZx+mojqElejCSJsBiQlxCaYGtvy480fvL2TQ5EK7o2CH8cCC0Da9reFBamnJaXwy6xMvL0DjsWtxTmO/piZVDItRF2gLfP39135nWJCGSshCfHKqrvbSIecAjlfHrjI5Sdhn83NHoA2UOixso4xAPseQpAM9AAe4Q9QkkpZo7kO1bfe2pk86UF139b5a2w8HsbKQ+EW7Fu1MDc7dud9Ha2gi0J0GidPOgp10z+5u+Bg52Tms/2m9+kdF7cOCqsc+P/+ZQFfU599Ea4eOtEkOzH7xi0p9LH/mZcD0weIQdMBjrsUjIT6BkaeYn7PtT5NR1xZOg/bbrN4Gr+VuwyaLZiclXvudk1D/N8ATibVZw6ETTZJaq5k5RxwuPOy9+66uJaueXUd2mQssRhkt+FZn94Hd3l/w0qKy56i5VqgmS4CXYEly4FVdme8wLQwZLtp0K5hNDrx+8RNpUjwFoKwyNMVCkhP0qrTRvnWj9W0tvNndvH2z9xdaYG9iACp7D4Uw1IqIaMmEpdhMWpLxc0RxabH3F7xMRy8qD+c6y5GvZbK5Sfhez9kOvH5/SyoCLAXpQ6sWjZpKze0mOC3Q6DbbOtokB6mJ5pYc9jqP3sdU6FD1BSXGhSolNafJF6MGyxZkKizxMYDB7sQAQneB0iv3009SeA5j5gbC59geL7syOrYn1iXGmzvvVVR6ORkl4/VqVF5lbs3xpIRGH0qLly5veLAQ7ttG2iQHVTXm+oiTEr38Znz8siJ1QSej0pK9nPksmlNfXOblTiwNPb4goVrlOwrvCiwVptXVzSzjXlPjZdRnAl5/p6GqyRGtzN4UVVZ7ORn5qBtk9rrQpHhSKJODKD0/aJMcmG3S81qNysdnNik+NFcw3UanpiSl4HQ2+tVaVOLBW3EgbZrdQ9XnF6aLX8RqfBYJ0TXWTBOz15sHH/cIoTo/RCuzA++83qT5+J2YvaFrMnZI8j7DtEkOiit89A0G4LVUq4//ldk+skDMNn2FisPhIDWpUTdNKFf4kmZ3UaeakJ2IzZwjmjQvg88LkW7dg7qrqDJ3U+Q1YfNR+8FswtakO8mNJAgGadMgUlpZitvjNrwcq9d66D7u9MzOkw7kUImfqX0+lJaXsvdQ6BbtTkpMajiTI5TJgdxwiTohXIfeTMtBZotMnE5nwxYvH6eYrDQLF82JAWbHaLRM93KT5qPVLz3J3EJnZeVeYouOGYZho01y4PF4KKkoMfxh6N21d9MvvxtVU7tRptgtvVuz4/Rmf6HxaoHfrv2Ws64/KwTR+BDKrFma3QWoQa8+attYwUzLQWJCIm1atWmYiPtIDswU9Ill+4vMVUn1ekNn8e/kwBEvH0RJDgzRplsBzM1pzUjLaLq0pwd1ktp77OHc72TQcebqgAdSVlVmuPXAa/YcSqGsxqfVp0jYZg8hPQEfKTVXlrlH5x4Nn/Bxl3pc6+O8vyC8MluDoEtOl6bFk3z8Tjq1MjcNas9BL7FJcmCIVqf1nw7+ZGq7c4ac0/AJLx+CAb0GkJEWupFzG/duNPT+JkU6Qk2+GCKUSgH/C6M225YD5tY+GHzS4IZP+PgumF1EKFYdKDpgqqunRWoLenVptCaDl9pibVu0Nd0V/POen01tJ47RKjnYuM/YBbbO1aOubviEl/71sb8da2rfwVq/d72h97fLakd6irn+NFMkORChtBuvJ3grGU3A6/x68K8bPuHlu9CrbS9yMrwMbhY+uT1u1u1ZZ2rbYbnDGu2s6XvMLgd9uPCw9yqMWl3t9KfVj2vl9pWmthvYeyCjR44+9kQlanpdK/Xo0rsL1114nRUh+rTsJ99rk3vjcDjo17PRMs9xqGmYoXjIuAARKpWAn/WYrLJp/yZT2408ZSSd23U+9oSX8TdXnnKlyahi23c7za1SOnZUo5s1L92eY081d0P3/Zbvvb+g1dVOf9oMSAT4dtu3preddccsNm3fpGr/l6MW8ABaprRk7oS53gsDWWjplqWGtxl5ykiWrq63XTvUCnH1JMYlsuaeNd4rQXqxavsqLn3+UsOxCGFaKEvT1rNpn7nkwOl0Mn3CdK6aepV6olENnuy0bCacNaGZ0cWmzzd9zrjTxxnebmjfoZw79Fw++OoD9USj38mgLoMYdfIoUzH5XKJbq6ud/rT6ca3fs55dR3aZGqGa3TKbL//xJc+//TyfrvyU0valDOg8gInDJ9I1q6v1wTayYe8Gfj70M12yugS9ze/P/T33v3j/sZkWXu5oRvQeQc+2PZu+4MOcZXOCfq8QlgjlNNl6DpccNvwdq3PlOVeyZvMapv9zuroQeQAHJMcn8+9x/yYzNVQLc0S3zzZ+hsfjMbU64z/u+Qcjx49k3dZ1DZKD41ofx2t/fM3warR1Fq1Y1PRJF9JyYJBWyQHABz98YCoTBUhNTuWW39/CLb+/xeKoAvN4PLyz+h0mj5gc9DbHdzqeMeeO4ZX3X1FPNDrJxjnjuPf8ew3FseCHBYbeL0QkWbxpMdcMucbUtg/f9DDnn3k+cz+cy+6k3RzX4TiuP/N6maXQDLuP7OarrV9x2nGnGd42JzuHb//1Lf949x98vf5rXF1cDO42mGuGXEOLJB8L5ARwoOAAS1YtafqC1LcyTLvk4N/f/tt0cmC32ctmG0oOAJ6a8hQbtm3g27XfNlgcKTEukRfGvsApXU8Jel/7CvexfNtyQ8cXIpJ8sv4T08kBqObsoX2HWhiRmLNsjqnkANQN3cQrJjKRiZbE8sYnb3hfI0MKtRmmXUPL55s+58cDP9odhin5P+fz9davDW2TkZbB4v9bzNO3Pc15uedx+vGnM37YeFbfvdrwgJwXlr5AjTuUBQ2EsNf8NfO1W8sk1r36zascLgnxPNYgeDweZr01y/uLUuLdMO2SA7fHzWMfP2Z3GKZN/3C64W2SE5O56bKb+O/j/2XJlCX8/cq/07tdb0P7qKyq5Nnnn4UfaPoIYdU6IcLpaNlRGKsSAAAgAElEQVRR5q+Zb3cYop7iimKeWfSM3WHw3yX/VeMXvAntePSopF1yAPDyVy+zZb+5gid2e++791iy2UufV4i99vFr7N61W3VNNH74WA5ViEg063Mfd4fCNo9+/Ci7j3ipLRAmlVWV3PH0Hd5fdAKp3l8SvmmZHFRUVzDp9UmW7/fgkYOW79ObG/59Q1hXajxSdMT3FyMO+WKIqLJo46JmTXv2pbjc3MqwQrUehOKcHazHZz/O+p98FKJrSeiWc49iWiYHoEbdP73oacv2t3n7Zu5/4X7L9ufP2t1ruXPenWE5FsBtT93mvZY4qGJQQkQRj8fDne9Y+/3atX8Xf3niL5buM9a8tfItnv/i+bAf9+s1X3Pv835mdcksVVO0TQ4Abn3rVj744YNm7+fQ0UNccMsFFJYUWhBVcJ5c+CQvf/VyyI/z5sI3eXHei77fkB3yEIQIu083fGpZTY+q6iouu+My9h82t8qgOGbS65P4dMOnYTvejzt/5NLbL6Wq2kexjUTkBskkrZODyupKLnnuEv6z8j+m97H/8H7OuekcNmzbYHofDZaDNuD62dfzZv6bpo8byCfLPmHM3WPweHwUtU9FBuKI8AtTqe5Jr09i26Ftzd7PlJlT+GrNV80PSFBRXcGFsy7k802fh/xYP+78kRE3jPC+jkKddiEPI2ppnRyAWg559P+N5uY5N1NcaqxPcNkPyzj12lPJX5/frBhKyszVh62qqeLKF6/kqYVPNev43rz92dtcPOViKqsqfb+pjeWHFcI/J2GrnnKo5BAXzrrQ9FLOAM+88Qwz5860MCpRXFHMOTPP4V9L/hWyYyxasYjB1wz2v/piEpAVshCinvbJAag+xhlfzKDHH3sw7aVp7Ny/0+/7t+zYwvXTruf0607np93mloGur7jM/EClGncNk96cxEXTL2LX/l3NjqW0vJTrp13PJbdd4j9ZSkf62kT4tSGsg7++2/kdI54cwd6jew1v+/jsx5n4qDXFd0RDFdUVXDv7Wq54+ApLu2uKSouY+OhERo4fyaGjh3y/0QF0RgYiNoN2FRL92Zuyl6kvT+WuZ+/i5ONPpn/P/nTr0I30lHQqqyrZuX8ny35YxsoNK303tZtgxSyHeT/N4+NrP2bCuRO44dIb6JJjrD78oaOHePatZ3nm9WfYd3if/zc7gQC7/3rr100LJh0h4LK7ViQ49S3dspTSytKGTxYE3s7nAMxaa3evbdqlU4TX9Svq87miW63K6sqm+60k4OJDPvtEvThUfKjpMcqBMv/bbd+7PehjlFSWND1GBVDq9e2/8PvZcwFt4aN1HzVcytdNUKs2Hi40V0hn5faV9H+wP89d8hwXnnphwPcXFBYw+fHJx8qW19q1fxdvLqz3M4lHfZcC1FxavtZ4VdK3V75NQlzCsSeqUZ9PP8wWOJu3eh4pCfXmMwdxLICyigAfuCC8vvV1Fly5gEkXTuLGy26kXZa5dv4DBQd44Z0XeGLOE/6Tgjo5qBskH/YX7m/6+S9Dfc/8CHR+AHO/W4CKSr2KeznItXgV9jSgl6V7bKgC2IipxV5uuuwmnr7N+AyIETeM4LPlnzV88niMD3SpATaCs8LJmQPO5OxTz+aUE0+hV9dedGzT8Ze3lVWUcejoIbbv3c4XK79gyaolLM5fTGl5gDN3nS6YG4i4Cq/rqgc0AGvboFYSMEnxKjfA6xswt4JgL/yP3TgMmGmgagkEW9Z/D2BmGnlboGPAdykHgODzi6ZygPZenq8EAp9Tm4oD+gV81zE1MNgxmHGjxnH2qWc3WKa5xl3DD1t+4M2Fb/J/7/wfBwoCVAZLBPoAOwEz9wbdMNZyVwSYWXQyA3UuMqIE9V0wKgX1MzGq9pwd547j7FPP5jdDf8Ow3GH06tKLhPgEr5uUV5azbus6lqxawkdff8TCbxcGn2C34pdVeQ3ZBRhvgFLfr7Z+Xjf7uzXy894IWDwTN6JaDgD1pe0FbCFgltdYgzXdDdiyw0tBJjPNVS7geHBvcrM4fzGL8xc3eDktJY2amprmZewdkRkKIvzi8H+CDAcXLCtaxrKHloEHWqS2oHWr1lTXVLP/8P7gv1dOVNIWpoGVUS8R6AHVm6tZ8OUCFnypFodzOV10ateJrIws0lPSqaquoqyijL2H9rLn4B5zrb+tUImZaLbISw5Afdh6YzirHzZomOFD7T+8nx37djR9weydcgIqudlKk0zP6IDLBhxAB+w/QYvY1BY9LqbpQCdgOxSWFBqfvuxA3XVKLX5rJaPO2Vv4pXusxl3Dtt3b2LZ7mzXHyKl9yDgDS2iVHLRIaoHLGfwZprpXNUWti2A/qr/cV5ecAwYNGkTeCXmGY1qyeon3DLY5zejxQE9UU/E+zDXl15eIOqFJmWRhh9qxBtpojbpAbMdY95QTddcp8+JDIwGVINSd96zq0E5CDT70M8ZAGKdVcvDi1S8yOnd00O8vryrntP89jZUpK9UHrQSVlVah/u0EEiE+I55nbjO3MMjiFYu9vxBvanfHOFD9s9mofq5DGE8SklEn5UysyZZbYu4La3Wm3tLi/dVJR52gjAqUryagmjONMpLMJZk8hpE74MRGx6giuH7MQOVpnZiLvTkJeDbq//4zAQdyAup30ZWmP68UzMVu9HMWb/I4Zkqju0wey8x3pzEnqoWzNWoMTQHmb46sPv8F+x2rPwDZSeDloM3+bhNNbGMhrQYkXjv0Wl6+xlhVwW2HtnH2jLPZvH+z19fjnHG8fO3LjBk8xnA8brebTqM6NS2y4QT6Y+1FsQYoRA1eKUUN4qk/sj4O9aVOQl3k0pGWAhFaawk8ricJODEMsTRHASr5LqZh62LdgjzZqJN3jDZHD+w8kIsGXET/jv1pnd6akooSth3axsfrPmb+9/MpqTBX5yUoNahW36LaR92NnTdxqHNeGiohtavrpwDVLQzqAn6STXHUF4IBiVolB21btGX3/+7G6TB2y1BQWsDtb9/Oq9+82mDBoyHdh/DYpY8x9LihpuL5fOXnDPvTsKYvhPOEWIM6icXoiUvY5BCwLYj3dcfcXZFdqjn2nYojpr9XXbO68vQVT3Ne3/N8vmfP0T3cOe9O/vnVP8MTlBuVINTUPlyo31ECeoxpAUkOTGvmVMalty3ltONOM7Xt0bKjbNq3ibKqMrpld6NTq07mAwGumnoVcz+a2/SFLFQTpBDRyINqNQg07ToV1YcsIs6p3U/l3fHv0iY9uDKqz37+LDfNvQm3p7kDpKJAjCQHLtpzn6V7TKBZU+mKK4oNjTuoLyk+iQ4tO9AlqwsZyc0bVbR5+2bGTx/vfTBiG6RJX0Svg6jaDYF0IXB/q9BOt+xufHbzZ0EnBgB5XfNIik9i4fqFIYwsQpRzrFBbHHqUqT+EGgthIe3KJ/9n5X9Ys3ON3WHw12f+6rsimYyKFdHKjRpNHkgaMqo/AjkcDuaOm0vr9NaGt739nNsZ1nOY9UEJLWmXHNS4a5j4+kRbm69efu9l/vOZj5UgU7B9FKkQIXOA4KqPequEKLR3Qd8LGNxtsOntHzzvQQujETrTLjkA+HzT5zzy4SO2HPu7Td8x4dEJvt8QSYOvhDCiBjX/PJAMpPUsQl2ed3mztj+t12l0Kehirgy5iChaJgcAd717F68tfy2sx1y+bjkjbhjhe4lmJ7IEqIhe0moQ9YZ2Nzdzq75Tjz9VDYAzt06WiBDaJgduj5sxL43huS+eC8vx5i+Zz8gbAiwD2prmFz8SQkfVBLfoTCtkMG4Ea9ui+aUs22W1UzNafiKo1TZFZNI2OQA1/uCGOTdwxbNXBF6m2KTCkkLGPTCO828+338ddt1KxAphpb34Lj9eX06oAxGhZMVYLre73j62EdznRkQcrcon+/L66teZ/+l8Jg2fxJSxU2iZ3vz6uiVlJTz3n+d47NXH2HsoiFumLkirgYhOVaguhUDqShJrrGfbnnTONLf6ap1PN3xqbkXACLDn6B6Oax3sOuHeNagYW41a20aSxqgTEckBQElmCdNen8asN2dxxdlXMOa3YxjadygOh7ESZyvWreCNhW/w8nsvc/BIkEs6tkEGIorotYfA9e0dQLswxNJMfz7zz9w88uZm7SNhfAJVNcEMvog8n2/6vFnJgdvtZunqpQ2fLECSgygUMckBDuA4OLLxCM/95zme+89zdMnpwmn9TiPvhDz69+pPdstsMltkkpyYTGn5/7N33+FRldkDx78z6Y3eO0jvIIK4goANVgERpSoWmkp3UVBXZNG1ryvFny4gKGJBELEB0pFeQk8gtEASkkBII73N/P54E0jITDJ9bpLzeZ48hJk7976T3Mw99y3npJOUmsS1hGscO3uMY2HH2HV0F+HR4dYdtxaqBKwQ5VEWKoFKaaojS3jLge8Ofsfzf3ve5tdvPrC5+BBvBrdSHYtyo+wEB6C69VsD54B0uBxzmcsxl/lu43eOP5aOW/XBhSivLOk10CMrFMqJrWe2svn0Zh5s86DVr80z5PHG/71h+skcJDgoZzQ9IdEkT1SAUBfnFU3xQ9WHkMBAlGcZWLYcrRYy36YcGbNsDFGJUVa/7rVFrxF8Otj0kxW4gFV5VfaCA1AnYj1UwQs76jiY1Bhog2110oUoS65gvjxuAT1lYq6BQ6Xc9pXu3uY4WuyNWPov6E/4dcuGWI1GI+98+Q4frfjI9AY6yloftLBA2QwOCnijLubtUcGCvWOiOlSwIVGwKO9SsWyNeh0qXnfxOeBsoS/rb7I1LyQ6hO7vdWfp7qXma8gAYZfDGPyPwbz5+Zvmd+ZPxTtHKoDyEe/5cGt+QHr+Vxq3Jsrk5m/nkf/ljTqh/VEfkpYkfxGiPLliwTZaqTgnnOJ66nXGfzOet798m0FtBtGtbTdqVatFSloKl2Mus2n/JnYE7yA3L7fkHVVzTXuFa5WP4KCwgou+pcMNkiNcVDQ3sKz2e0XsNaiAIvQRLFq7CH604cXeOH5oV2hC2R5WEEJYL7r0TfBCpQsX5Z8n0NSG1+mAZshVpJySX6sQFUkilvWW1UM+HSqSSqgAwdL5Vh5Ac2TidjlW/oYVhBCmGbFsroEPUn20IqoG+KImYKaUsF1lVGI4SYpVrklwIIQVfL18qRZQDR06EtISyMjJcNqxKvtVprJfZTJyMohLsaT4QSmuozIilqYeFt9B6nQ6qvhVIcg3iJy8HOLT4snOzbajkcKt/IGWqEndyUAmalK3JypwqJL/r4t46D2o5FuJKv5VSEpPIjE90XUHL4GnhydBAUFUrV6V3Gq5pGSmkJSRVK5qckhwIEQJvD296d+uP090fYKezXrSvFbzIs/H3ojlQPgBfj76M6sOryIzJ9Om4+h1enq16MXQrkPp0bQHHet3xNfr1qdwTl4OUYlRrD+1nrVH17I9bLt1H0RGVDbE0vhTYh2RpjWa0r9df/q26kv7eu1pXqs5Xh5FMyQlZyRz8spJdp7dyc6zO9kWtq3E5XLCcjqdjt4tejOw40Ba1W5FFf8qRCVGcSn+Ev9e/29SsyyZaWqBgondLubv7c+A9gN4tMOj3Nn4TlrXaV3k/MrOzeZqylX2XdjH5tOb2RS6iYiECKe3q2ujrjzS4RG6N+lOx3odqVe1Hp4eRS+fmTmZhF8P51T0KQ6EH2DPhT0cunSozJ77Ou4sNQ2KdQJR2QXLimhufWjqgK5ubIuwyoD2Awj0CbT59ZGJkey/uN/kc75evkzsPZFZD8+ibmXLUmXGpcQxY/UMvj3wrcVt0Ov0jO4xmrkD59KsRjOLX3f48mHGrhjLiagTlr3gKpat178DdXdYiE6nY0jnIUzuO5k+LftYXewsMjGSxX8tZsnuJVy94ZjS6w+1fYjKfpWLPf5Mz2d4pMMjdu175Osji36g+wF14UTUCcKuhpl9nb+3v13Hjr0Ry65zu8w+/1Dbh3j/8ffp0rCLyefrz6pPdFLJs007NehEy9otbW4jwE9HfnJI6efCagTWYMYDM3jpvpeo4m951V2j0ciGkA38Z/N/2HZmm0PbFOQbxIReE3ih9wvFbgosdT31OhtObWDlgZVsOb3F4T+3m8KwbAWSFSQ4kOCgzDr39jmb/2gBVh1exYglI4o93qdlH5Y8vcTmfS/dvZSJKyeW+kHQrEYzVo5dSc9mPW06TmZOJk8ufpLfT/xe8oZ5wMn8f0sShOpSLqRns558OvxTujfpblMbC0vLSuPfG/7NJ5s/ISvXkvEN807MOUGH+h3sbpM1XvnpFT7e9LHZ5xtWbUjE+7bfxf4Z8if9F/Qv9ri3pzcfP/Exk/tMLjEwsyQ4+M+T/+HlB162uY0APpN8HDp09Ow9z/LR0I+oEWjfmsjgy8FM+n4SB8IP2LUfnU7HuHvH8c7gd6gV5LhEH5fjL7N873KW7VlGZGKkw/YLOCU4kPnIQuTz0Hvw3pD32PbyNruCjnH3juPz0Z+XuM2gToM4+uZRmwMDUL0bqyespkfTHiVveJXSAwOA+re+9dB7MHfgXHa9ssshgQFAgE8A7z72LqfeOsV9Le9zyD7LuwCfAH596Vem9J1idY+N1vl4+vD1c1+z/JnldgcGAHc2vpO9s/Yyf/h8gnyDbNpH7Uq1+XPanyx+arFDAwOAxtUbM3fgXC69d4n1U9bTu0Vvh+7f0SQ4EAII9Ank98m/M7v/bId8CE/oNYERdxXvlQCY0ncKa19YSyXfSnYfx9fLly/HfImH3ky2ohxUcFCaKtxclubn5ce6F9fx1qNvmd+vHZrXas6WGVuY+dDMcnfBcyQfTx/+mPwHD7d72N1NcbgAnwD+nPYnY+4e49D96nV6pvabykdDzdSBKEGbum3YP3u/TRUrraHX6RnQfgA7Z+5k28vbNBskSHAgKrxqAdXYMmML/dsV79K1x6dPfoq/d9FZXa8NeI0FIxY49KLbrl47xnYfa/rJaEovyQw3SzL7e/uzfup6Hu34qKOaZ5Kn3pOPhn7E9+O+LzahUaiu7WXPLLOuhyUKVQsiDLgEOGCBizP4ePrwy0u/OLX3yNq/r1a1W7H95e00qd7EOQ0yo2+rvuycuZOtM7bSq0Uvlx67NBIciIorGyplVmLLlC2ld83boHbl2rzY+sWbVf1eG/Aa7z72rsOPA/Daw6+hu6S7VUcE1DK0eAteXB3wU3c0K55bQZ+WfZzSRlOGdxvOiudWOKWHwuHSUUmkCn85ciJ67q39Tus5jVHdR1n3+gRUfoJU1O/9ugPbVtjtPwMrx7oXjFjA/a3vd3y7CktFnf8WqOpflQ1TN1C7Um2nNqkk/Vr344/Jf1DVv4SlQi4mwYGosHxzfFk3ZR1dmpqe/e0IEwZOgDMwrvM4pwUGAE3qNaFb7W5whlu5DKKxrCRzfq/B3IFzGdp1qNPaaM6Iu0bw+aiS52hoQgJw8bavHAfuP13ts4tXF94f+b4Dd+xg4RT9GViyRDbfmLvHMKHXBOe0q7BMIBSLfkfLnllG0xq25I92rP9s/o9m8jiABAeiAhvYayB9u/V16jFaNmrJm2Pf5PMJzr/4Db1/qAoMzqOKK1nyOVMT8IZeLXrx+oDXndq+kozvNZ7Rd4522/G1wsvTi6//9TU+3uUv/WDdynWZP3y+6w5oRP0NhGC2F2VIlyE81vkx17XJjKsJV/nP8v+AhvKHld/gIA3VxVbal4Z+GcK19HrXnP7zXphXLGGKM/Tqkj9mmYkacy6NB1BXTWr86tmv3N61v2jUIhp6N3RrG9xt+qjpdGju2iWarjJ/+Hyrchg4TB5wGUgq+rBep+edwe+4vj0mzFsyj9SIVDiFaqsGrkvlN0NiOJalii2s/GS+FBVQ26Ztb/3Hku7uuoAHTOs3zaoETM5SJbAKC59YyGPzH6uQFSFbNW7FvZ3vdXcznOKuJnfxRNcn3N2MIga0H0Dbum1L39DJzkWcY8nPS9R/jKhejnjUXKA6uK2GRfntORCigqkSVIV6NetZtrE3UBOq+FfhtQGvObVd1hjUexBd/Lo4bzKdhjWp14QAv/JZ5vDtQW9rbtnq03c/7e4mAPDG/71BTu5t0XxBkOD8zNBmSXAgRDnSrL6FPQB1Ab3Kx2AqDbGlQi+GMuXDKXQf053mjzWn9/je/Pe7/5KZbVuNCZ1Ox5zxc1TXqnbmZgk7tKnbhofaPuTuZhSh1+kdvnTZFgdDDrJm6xrzG1gY6ztD+R1W8MSyZUYGLFsHLkQZEORvQWY4X6C6Wgs+pe8Um4/13cbvGDtvbJFA4ELUBXYd3cXqLavZtGgTgf7W174YfN9gGtRqQNSlKJWYydvmJgoNePG+FzXXa9CuXju7gmKATfs3se/EPmKuxxDgF0CjOo1o07QN93W9z+IJpbMWzDJfQK0qNxOTuUP5DQ5aW7jd7bUVhCjDggIsCA7qAzpVQ6JB1QY2Hed0+GnGvT3ObA/BvhP7mLVwFp/N+szqfet0Oh7r8xiLflyk5g6VpVotoggPvQcj7xrp7mYU07qOpRcI056d+yxf//61yecC/AJ46O6HGNV/FEP6DjE70Xf9nvXsCN5h+gA63NprAOU5OBDCCjm5OWw/vJ2I2Aga1m5Iv7v64eXp+Mx9RqORQ6GHOB1+Gg+9Bz3a96BFoxYO23+gXyl36oHcrLo4rNswm4/z4YoPycjKKHGbJT8v4c1xb1Kneh2r9z+k7xAVHKSiMv3dNkFx5pqZRe/88mekP/PoMzxyr+2VEVPSU/j3l/82+dxfR/6yeb8VVa/mvRxSN8GclPQUAv0Cre6ZaFy9sc3HDLkYYjYwAEjLSOPn7T/z8/afaVqvKVNHTGXsY2OL9OoZDAZeW1TCXJ8aqB4+N5LgQFR4+0/uZ+QbI7kUfenmY3c0uIOfP/7ZocvKIq9GMmz2MPafLFom+qm/P8XSfy51yNr2UvdRqKNgYMeBNh0jOyeb1VtWl7pdTm4OP/z5A9NHTbf6GL279qZyYGWSU5MhFvVhWejzf1PoptsOBpyAnh178gi2Bwep6al88PUHNr/eGTKzM9l+eDtbD24lNj6W60nXCfALwN/Xn+qVq9OsfjOa1W9WfFKbBgzsZNs5Zk5SShJf/vIlP2z6gdCLoaRnpqPT6WjdpDX3db2PEQ+PoHeX0msV2FPqPfRiqMXbhkeHM+OTGby7/F3mvTCPcY+Nw9PDk2/Wf8OJc2bKrXvg9l4DkOBAVHARsREMmDqApJSii6AvRF1gwNQBnPjhBNUqVbP7OHmGPAa/PJijYUeLPbdy/Uq1jO/VhXYfp0SFxjBb1W5F3cp1bdrNkTNHSMtIM79BZW7e+Wy/tp3pWB8ceHp40qVVF9Xtmo1a2uW8G1BNMhgMLF23lH9+/k/iEjVaKKEUvZo7rl7AloNbeG7uc0RdiyryuNFo5HT4aU6Hn+aLn76gQ/MOtGnapsR92ZPTo3Y169MsxyXG8eJ7L7Jo1SLenfwuc76YU8IB0MSVWVYriAptzhdzigUGBa5cu8I7Sx2TJGXVplUmA4MC/1v7PyKvOrjGe2E6ipRk7t3S9kpwZu94ABoDzVFDF75wKPqQzcfp3Krzrf9cs3k3ZZLRaGTiuxOZ+O7EMhsYBPgE0KWRY1KTbzm4hUenP1osMDDl5PmT/Lj5xxK3SUo3/TdviXs732s6H4UelZugPurvoD5QiyKTCkMuhjD45cFExJpZo+iFCg40QIIDUWFlZWfx07afStzm69+/Jjcvt8RtLFHiciVUF/xvf/1m93HMqkGRZCqdGnSyeVdmP9hqUuzuPvZGLGlZJfQylKBLq0IXlgysT2pWhr23/D2Wrlvq7mbYpUP9Dnjq7b8FjoiN4PGZj5OV7bgTwJ4aBnq9nl8/+ZXH+z1+60FPoA3QBJW4qEb+vw1Rk+M7ogKG0lYf1EEzV2WNNEMI1wsNDyU1vYSScp6Q4JFAaITlY4zmBJ8ONv+kDqgEwVElbGMPE2OY9mSGi7luotKODvXBdhuj0cjlhMs2Hadzy85FHyjp89wDaIYa0nC0ANRdoKkvJ3T/hkeH886X2kjraw97VwQUmPLhFFLSUyx/gQUjBqEx9v1NV61UlZ8+/Ikdi3eotOXVKXkCoRcqYGiNWn1TleKr43zQVGZQDYxsCOEe0XHR5p+shZq8p4PI1Eg60tHm4+QZ8swPGVRC3W14wUXDRZuPUaIaFPtLb1m7pc27M7l8MRCz+QhsvUsrltApGZMBCKBuc6rinFSzviUc1wm+WPNFqStB8EQFQgGoC48HquSzATU5UwO5+VvWsv0cK3Dqwil+/evXkjfyRV1Uq3DrHDSiqlzeQFXTvO2UPRZ5jOzcbLw97UuicV/X+/hryV+ERIaweO9iVuxfUfqQRWD+VwYQiarxAzeXGGuFBAeiwjI7qa4aqjswX2qWlQXrTRzHZKITX+AObvbfpWRZcXdkjepF/6vX6e2qXe+h96BqpdvqztcB/E1vb+uwQqB/4K0VC6A+7Ms5o9HI939+b36Dgl6gmmjqQmJK/ar1S9+oFMt/XV7yBnVQP4/bfxY6VOAUgMoGmowKovJl5mSy4+wOh2VubNewHfOHz+f9x99nTfAaluxewq5zu0p+kR/QElUQKhEV3GqIBAeiwjJ5wdZRZLmf2e2skJ1j5jYuP4Vxgcwc21IOl+q2wcOaQTXtGgteMW+FnQ2yXP1a9W8FBwbUHaCb1387U3h0uPleJk/UxcTPlS2yXe0g+2fWbdq/yfyT9bG8R8fEcNOXe750eFpnPy8/nr77aZ6++2nOxJ7h062fsnzvcrJzS+jKqcLN3CNaInMOhCgskCJ3GE6jw20fCNUDqpe+kUbUr3nb3Wc57z0ocSXIHZSZwABUEGqPtIw0ToefNv1kNewe6ll3bB3nr523byclaF2nNV+M/oKweWGMu3ecQyZnupIEB0IUZntuFOv44La/Pl+vsnPrXb9WxQoOzkWcM/1EDVx3bjqIn5d9kcyFqK5qgVgAACAASURBVAvkGUwUyPGgWO+eLbJzs5m6aqr9OypFk+pNWPL0EvbN3kf7eu2dfjxHkeBAiMJcFdy7qUY7gI+nGw9upeqVb+vl0MBEO2e6kXbD9BO1XNsOR/Dxsu88M5d/hBo4rHdvw6kNLNq+yDE7K0W3xt04/MZh/vHgP1xyPHtJcCBEYbYnTtPmcUzw9Cg73ZvFqjqW8+DA5JI9P8rUcEIBbw/7VgKYDZQcnClz+o/TWXt0rWN3aoaPpw8fP/ExC0csRK/T9uVX260TQjhcVk7ZySZUrJCU9soHOJTJRD9lbDihQHaefZGct5eJ4MIbh09IzTPkMXzxcBZud3L68kIm953M56M/d9nxbCHBgRAVjL0f2q5UrOcgB7WGvSIpg70GQMkz9C1QKaBS8QfNLJe1V64hl6k/TOX5pc+bH85wsAm9JvDcPc+55Fi2kOBAiAomI7uUBDsaUqznwIhK9lORlJ35o0XYuzS3RhUT4wdO/lksP7Scti+2LTXduaMsGrGIeoEaKMFoQtkZfBRCOERcqn2FfJJSkuzO/WCXXFyz3FQr3Dg/xR4JaQl2vb5Z/WYE+gcWTXHugp9FjG8MT/7rSXp804O3JrzFgHsGOO1Y/j7+vNr9Vab/Mh2CnHYYm0hwIEQFk5ieaFfq2I4jOjq3gmRpDO47tFuU0eDA3iBUr9fTuWVndh/bfetBV/wsPIDmcODMAf4+9e/c1fYuXhnzCo/3e9yuUs/mTHhsAnO+mMON3BuaypIowwpCVDBGo5GrKVdtfn2VIDenc6towYHG0ySbcy3F/jrbg+8bXPQBV/3uvVBVFgPgUOghhs0eRvPHmvPpd59aVwTKAn4+fvTu3BvCKbm4mItJcCBEBXTuqplkOxaQ4EBY4mKc/YXERj48sujduit/9wXpqmsBOrgUfYkZn8yg4d8b8uqCV4m6FuWwQ91/1/1qPs0lihWJchcJDoSogM7EnrH5tcWqJbqaiaR5QnvOx9mfmrh+rfq88MQLtx5w9VJWPaoIWyturhpJTk3moxUf0WxQMya+O9EhQUKLRi3UNwZUgKABEhwIUQHZU8++VeNWxR/0dOFXRVvKWEadjjFTF8FKb7/w9q002u66qw5ADTM05WZZ6JzcHBavXUyLx1qw4IcFdu2+ZtVCdSjSUFUk3UwmJApRAe25sMfm13Zr263oA35AW/vaI8qfi9cvcj31OjUC7UtpWLVSVTYu3Ejv8b1JTHP8oLyH3oPPRn7Ggm0LSg6adaiCT6DmB+TLzM5kxiczGNR7EE3qNbGpDVWDbpuJeBWTlSRdSYIDISqgk1dOkpyRTGU/6z+B7u18L77evmRm59/GlZJ3YOPUjXRv2t3q43R/r7tTq+YJ5zIajRwIP8AjHR6xe1/t72jPga8O8Py859l9YzeYyI8EUNmvMuPuHceNzBss2bXEon0P6TyEib0nMvbesSzdvZS5v83l6o0SJuwWniDqBQSAIdlAaHiozcFBsaylqaghBjf27UtwIEQFlGfIY3vYdh7r/JjVr/Xz8eOxPo/xw6Yf8ndmftuq/lXp06qP1cWeLsVfksCgHNhxdodDggNQ4/I7F+/kr1N/8eOpHzkTe4ZrKdeo7FeZDvU7cH/r+3m046P4efkx97e5Fu93Vv9ZAHjqPXmh9wuM7j6a/275Lwu3L+R66vWSX6xHldLOghZNW9j83pJTbxtHMKICBDNBkCtIcCCEVrh4Fv7ao2ttCg4A/vHUP1i1eZVKhmRATRQzkZjoxftetKkK5IZTG2xql9CWP07+wUdDP3LY/vR6PX069qFPxz4O2V+/1v3o1rjoMFmQbxBzHp3DzIdm8uWeL/lk8ydcir9U4n4mPTyJFvVsDw4uRZvYfyZuDQ5kQqIQWmH/snCr/HbiN7JybSvC1K1tN6aPnH7rARO76da4G2/8/Q2b9i/BQflwOuY0567ZvmzW2WY9PMvsc/7e/kzpO4UL/77Azpk7mdRnEo2rNy6yTdO6TZk/fD4LRtg3IfF0uInJm25elSM9B0JoQSourxmQlJ7EqsOrGHP3GJte/+G0D8nJzeGz1Z9hTDMWqR44qNMglj+zHH9v6yvlJKYnsvXMVpvaJLTn631f887gd9zdjGK6NOzCQ20fKnU7vU5P7xa96d2iN4tGLiI9K53I2Ejq1qhrujiUDfYcNzFB2M01RCQ4EMLdjEAEUNf1h164baHNwYGnhycLX13IS0++xLp964jSRVEzsCYPt3uYns162tympWuXkn4ovfgT3qjlZKJM+WrvV8wdOBdPvZsuN5moXrkaFKnq+OrDr9q0O38ff9PLeW2UnJrMvpP7ij/h5n59CQ6EcLdowE2FEg9fPszGkI30b9ff5n20adqGNk0dc9XOzcvls1Wfmb5r0lDeeWG5K0lX+OHQDzzV4ynXHTQLiAWSUHkDAKrferpZjWY8eeeTrmtPCdZuW0tWtolxOTfX1JA5B0K4UzpqTbMbzV47G4NRGzmJ1+1Yx+WYy6afdOPkLGGfd/54hzyDCwfRE4Ar3AoMbvOPB//hlCJK1jIajeYTKNlWF81hJDgQwl0KUqW6OePf8ajjfLHzC/c2AsjOyeaf//dP00/qkOCgDAu7GsbS3Uvd3QwAagXV4rm/PefuZgAqGD529pjpJ31d25bbSXAghLu4cTjhdq+ufdXts8o/+fYTwi6HmX6yCvJpVca99vNrJScXcpEp/abg5+Xn7maQnpnOjE9mmH5Sz81aDu4if25CuEMubh9OKCwtK40RS0aQlmWmH9bJjp89ztzFc81vUMtlTRFOkpieyPhvxqvcGG4S6BPIS/e95LbjFzbpg0klD6G5uVS3BAdCuIN7rsElOhJxhNFfjnbt2DAQlxjHkJlDTE/KAjXDPND0U6Js+e3Eb7y74V23Hb9ZzWY25/ZwpPnfz+er374yv0E180+5igQHQriDRssO/3L8F55a9hQ5ea6pjZt4I5FHpj1CeHS4+Y2k16BcmfPrHJbvXe6WY5+IOkGrOa348M8P3RYkLF231PxwAqiJiFVc1hyzJDgQQhTxw6EfGLRoEAk3Epx6nIjYCPq90I9DoYfMb+SHJu6ihOMYjAbGfzOepbucN0ExJS3F/HOZKcxaO4uWb7Zkya4lLguEjUYjb/3vLSb8e0LJQyt1cfuQAkhwIIQwYWPoRrrM6cJfR/9yyv7X7VhHt6e7mZ+pDeoDsiGa+KAUjpVnyGP8yvFMWzHN/HCSDSKvRjLi9RF88u0npW4bkRDBhJUTaDWnFQvWLCAl3XxAYa+oa1E8NOkh5i2ZV3JgEECRfAzuJMGBEMKkiIwI+rzdhxGvj+DilYsO2efJ8ycZ/PJghswcQlxiXMkb1wKCHHJYoVEL9iyg8+TObD+83a79xMbH8ubnb9J6aGtWbVpl1WvDL4Yz7f1pNPx7QyZ/OJkDpw7Y1ZbCklOT+dfif9F6aGu2HNxS8sYeQFM0EwzruNPBq6wDAcdllnS+aCAm/3sd0NWNbRFWqexXGb2uUHybBZyx/PXZOdmkZdw2M7AJxSL3AJ8AvD1uy0hyEourKBqNRpJSkkrdzkPvQaXASlAfleoVIA51jlooPTO9+J1Ye8D6woi3RIA+Xk//nv15fvDzPNjjQatyyifcSGDj3o189dtXbD20FYPBgh9cENACqz8o/bz88PW6bYH4GUwWhjLFYDAUL59bHXVelEKv01PZr3LRB+OBKMuODWZ+fx1wWEIce38+oOaJFFEJ9buylREIg3tb3MvUEVN55N5H8PctvSZHVnYWe0/sZcnPS/hp209k52SX/ILWqDvz210HIiny99yiUQsG9hrIgL8N4J6O91jUngJ5hjx2H9vNj5t/5Js/vrGsR0KHKv1cubQNzQhD1WdxIAkOJDgoPzKBEDv30QTLuvWO4ZxJhbf//VzFqouLSfYGB0bUh2f+jb6nhyc92veg/R3tadWkFXVr1CXQLxAfbx8SkhOIT44nPjmeiNgIjpw5wvGzx61bARGAutg4KoFdCOrcsJWFwYFJcai6GfZwYHBgkr0/H3uDA1BLe88CGeDn40evLr3o3LIzrZq0ompQVYICgkhKSeJq/FVi42PZe2Iv+07sIyPLikQh5oIDUMFRJJBc/ClPD0/a3dGOLq260LReU5rWb0qAb4AK5FHBUlxiHJdiLnH87HEOnDpQPMAsiQ51ftkzt0aCAyeQ4KD8KOvBgQeqsFDhC7kWgoMCMflfzlymXhnVterIzLYSHJRMC8EBqADhHCqluKPpUH9bpSUWSkVdE5w3/aAoT9T5bm/2TycEB1J4SQitaIBjLuLOUhcV/IcDjp7grc/ff200M+YqXMwTdWN5GVUbwVGCUBNbLck4GAi0RF1or6J6EpwVDAehgk4311AwR4IDIbSgCrfmGWhZEKon4mr+lyN6T6qg5lm4OZe80AA96k66KqrHzJ6FDP5AHWyr5hmY/5WFmjcSD5QypcFiPqjzXeNVRmVYQYYVyg8j9l+sPLDszjWPku8oMlBdpJb8dXkBbTEdqrvyPVkrD3WHl4i607Lmk8QXNYRQE+f3lpT2uyqNHtvXdRmweOKqWc76/RVw58+nJEbUuRWH5V3mnqgu+lqYn19ga1vSUSWgE7E+aPHIb1d1nJMaWYYVhCiBDted0SWNiediXbXFJphvtyvfk7U8UBf3mqgLYCpq7DoLNeyQx632e6CCIB/Uh7Yru1LdWZnXWRdOR3J/5WLTdKhJetVQf1OpqKA7E3W+GSl6XgWigk5nBFI61HkbgOqRKFjZ64m64OfktykP9fv2QJ3j3vnb+zupXU6k1Y8dIcomI2pM3tIuyNqUj1LEetT7KA/vRWiPJ2r4SQNphYvwQM0VKoe0HtMKUbbEADcs3NYfNfYohBAaI8GBEI6SyK35K6XxAJpR5roahRAVgwQHQjhCBmoJlqUaoe1li0KICk2CAyHslQucx/JVBTWRSoNCCE0rvxMST2H9chNnZn4T5ZMBuIDlExD9UQlZhBBCw6TnQAh7RGD5+mKZZyCEKCMkOBDCVtGozGmWKCiuIvMMhBBlgAQHQtgiHstXJoBK46q1NdpCCGFG+Z1z0BzL0pbGoep5g3T3CsskY93KhCpAPSe1RQghnKD8BgeWFnHxcmorRHmThkqdaunkVV9sL/crhBBuIsMKQlgqA7Vk0dJCOp6oHiyt5q4XQggzJDgQwhLZwFlUTgNL6FClZ2UCohCiDJLgQIjS5KBKoloaGIAqxiJFiIQQZVT5nXMghCNkA+ewPMkRqAyItZzTHCGEcAXpORDCnBxUYJBpxWuqoOomCCFEGSbBgRCm5KDmGFgTGASi5hkIIUQZJ8MKQtyuYCjBmsDAF7UyQcJtIUQ5IMGBEIVloXoMrJlj4IUsWRRClCsSHAhRIAPVY5BjxWs8gBbIkkUhRLkiwYEQoCorngfyrHhNQWDg55QWCSGE20hwIEQicAnLMx+CmlvQHAhwRoOEEMK9JDgQFds1IArLayWACgyaoVYnCCFEOSTBgaiYjEAkqiqnNQrSIld2eIuEEEIzJDgQFU8ecAFIsfJ1BT0GEhgIIco5CQ5ExVJQWdGapYoggYEQokKR4EBUHInAZaxbkQBqVcIdQJDDWySEEJokwYEo/wyoSYfWzi8A9RciqxKEEBWMBAeifMsEwoF0G17rheQxEEJUSBIciPLrOmpFgjX5Cwr4ogIDb4e2SAghygQJDkT5kwNEAEk2vj4QqZUghKjQJDgQ5UsiKjDItfH1VYEmSHVFIUSFJsGBKB9yUJMOE+zYRx2gvmOaI4QQZZkEB6Lsu44KDKxdolhAj8p6WMVhLRJCiDJNggNRdmWghhBS7diHNyqHgb9DWiSEEOWCBAei7MkDolF5C6wpmHS7SqgeA/krEEKIIuRjUZQdBlQVxVhsH0IAVTypDlA3/3shhBBFSHAgtM8IxAMxWF8T4XZeSLllIYQohQQHQruMqFwF0ahMh/aqAjRGznohhCiFfEwK7TGiliTGAFkO2J8eaAjUcMC+hBCiApDgQGiHATXJ8Br2Dx8UCEQlNfJx0P6EEKICkOBAuF8WKiC4jm11EEzRoxIa1UQmHQohhJUkOBDuk4QKCJIdvN/KQCOkaJIQQthIggPhWlmogCAelfLYkbyBBqj6CEIIIWwmwYFwvjzUBMME7MtmaI4eqI3KXSAFk4QQwm4SHAjnyEUNFyQCN7Avk2FJqqJ6C2QIQQghHEaCA+E42ah5BMlACs4LCECtQmgABDjxGEIIUUFJcCBsZ0ANE9xABQSOSFRUGn+gHmrSoRBCCKeQ4EBYJxXVK5ACpOG4pYel8UfVQpCyykII4XQSHAjz8lABQCqQnv+vPQWPbCFBgRBCuJwEB0IxoAKANCAj/98snDtvwBwdKhiohRRIEkIIN5DgoCLKRgUCmRQNBNzNE1X/oCay+kAIIdxIgoPyKhcVBGSggoCs/K9MXDdPwFKBQHWgGpKnQAghNECCg7IqB3XxL/i34KsgCHD13ABreaECguqAr5vbIoQQoggJDrTEiLrjz0Vd9HNu+z6LWz0C7pgLYC89ai5BdaCSm9sihBDCLAkOnMGIunPPRXXh56Eu7nmFHs818f9cyuZFvyR6VCBQDZWbQIYNhBBC8yQ4sJURlRo4gVt3+AWBQHm7wFvLExUIVAGCAA/3NkcIIYR1JDiw1SVUYCDU0kN/VA9BJVRKY51bWySEEMIOEhzYIhkJDPxQqwwCUQGBnElCCFFuyEe6La67uwEupqNoMBCIWm0ghBCiXJLgwBauKDDkTj6oYYKAQv/KREIhhKgwHB8cpALhqHK67ry7vIRa8leawpkBLZ1IqPUcApYq6BEo+PLP/5IJhEIIoX25QAzquutgzuk5SACSgDpAbdxz15mK81ICe6JWKJQVnqh0xH6ohEO++d97IxMHhRCirDECcUA0TrtZdd6wggHV8HigPlDVaUdyvQBUWmKt0KF6aXzyv7wLfe+DDB4JIUR5kQJE4vRrkPMvG1nARdSM9gaoO9ayrgYq6HFFPgM96mLviQoACoIAr/zHCx6THgAhhCi/slBBQbJrDue6e8obwGnUhbWeC45cBzUeU5p0VDIjsHz4IwDVGxJlZZt0qPF8D9T798z/3puiQUBBIFCwrRBCiIopD4gFruLSBHuu7XAuGCdJQAUINXHeHW8NC7dL5lZwYM2FuDZqSV8SaghFj/pp6vP3c/v/CwIBIYQQojRG1LXyCm6Z4+ae0eg8VPdIHGqoobJbWmG/gPwvIYQQwlFSUD3T6e5rgnunqmUC51HBQUPUWLoQQghREWWjego0kIFXG/PYk1FzEmqihhuk+10IIURFYUDNKYhBM4X7tBEcgPqBXEON/9dFzRlw9Qx8AypqK8sSUe8Dbs15EEUZuDVZtWAZqCguh1sfVHIumVb4XAI1qVgUV/hc8qdsr1pz9BLCRNQQgiVJ+1xIO8FBgRwgArVUsCGuHdMvmBVaXpSlRE3upLE/Sk2Sc8ky8nMqXTIuW46naemouXdOyG7oCNoLDgqkAWdQyZMaIBG5EEIIbbGldzsHNXxwHc0MIZiiR8+DQIi7G2JWIqp1zhqLKcvdW0IIIdzHmutHwdB5CGqlnnYDg3MYGajinjvxwshz6Pg3lmcIcD1v1ITF6g7eb0EtiPIgCRknLo3MObCMzDkonZxLlil8LhVUfS3rPFDXI0t+50moeQXOqvfjGEnA+yTzKefJKtop0pNqZPMWMAktrxkIQs1HkLv+4kK4VVK6KVDNjW3RqkRUSm9QH1Tt3dgWLQvl1uSrJjg+KC8PkoAL+d97Ax3c2BYtO82tNfuN0fItqGNlooICbc+xMGDkW7x4hQNcLXiw6L3APhIIZhp6umFkp8ubaKkU1MkWjkwAEkIIoS0Fif5C0XpgcAC4hyOMKRwYgLmOwkMc4wh9MDIIdQnWnoLUkqGoFQbaHb8RQghRERSUCDiFml+g3etSFDqeIZieBHPA1AYljyIe4Te8aQfMRt2va08uKjeB9iM0IYQQ5VVBj3YElhX9c4904AMyacNhVlBC+FL6FKN9ZBDMBxhojZFvStqZWxWkYj6L0+tcCyGEEICaZHgRq649er2eFo1aOLFRJv2OgbYEM5uQ0rMrWD7/+CjRHGEMenqgY59dTXSmgugtEjXuI4QQQjiaAbXEPoRblX0t0LllZy7+cpGDXx+kRhWXzMw8AvQimIEc5bKlL7J+cdIhDnGYv6HjGbSaT7BgPWnBuI8QQgjhKPGo60s0Vvelvzf5PSKvRlKvfz2uJ113QuNuug5MpxndCWa3tS+2deWykcOsIIfm6PgXtxbPaUsuqgfhNJpNUSmEEKKMSAfCgEsUWylXt0Zdxg4ei15f9LJarVI1Jg+bTMPaDQHw9vLG08OToIAgZ7UyB1iAJ3cQzHxW29aHbl9akxOkcZi5GOkArLZrX85U8As9j9aTUAghhNCabNS6vRJuNO/vfj8LXllAoF/gzcc89B7s/nI3/xz3T7q17QbAW/97iw7NOxD7ZyxHvzvKvBfmUad6Hce008gWjHQimGkc4IY9u3Js3cOu9EPHp2g5FYgeqAXUQctpnmwnSZBKJ0mQLCNJkEonSZAsU1aTIBlQQ9Mx3Kp2W4IAvwDSMtJu/v/uDnezb/k+Jr47kcVrF998vFa1WgztN5TeXXsz+L7BRMRG0O7JduQZbJ4oF4aOlznMelt3cDvHJkQ9wjaC6IqRiajVntpjQM2UCEGNGwkhhBC3S0JdJ65gUWAAkJGVwcfTP2bayGkAJCQnANC2adsi211LuMbnaz5n5OsjGf3P0bRq3IqWjVva0spEYDaZdHRkYADOyJa+g1yOsJhsWgEL0OqKzxzUuNEZVAVIIYQQIh21LPECFpdz9/L0om2zthgMBprWa8q8F+ZRu1ptzkacZeeRnTw36DmTKxP6duvL2MFjuZZwjcsxFi8kAJXy+BtyaE0wHxDi+MLzziulcpJEgpkGdMDIBqcdx15pqPkI4Wg1jBFCCOFshSewm0n556H3oHa12kUea9O0DeOHjGfl2ysBmPnpTLy9vHlv8nsAvLP0HSoFVOKTlz+5+ZqCSYsvPfkSuXm5PDjpQdIz07HQdox04QhjOOG89XjOH3WP4ToxfEtdjqCjO1odBc/gVn3tABw9G8N18gBf1HsIQo2DiqKMqN9vAKo6XCX3NkezcpFzqTQGbp1LAci5ZI6WP5cKUh5foNRVbZs+28So/qP46revABjSdwg7F++kfq36PPXmU8QlxpGUkoSvty9Thk9hw54N7D62m4a1G/LswGepU70OLRq1YOTDI9mwdwOrt6zmh00/cDXhaskHViLRMZVgXiYGi15gD9deAu/EC3gJmIeW/4x8UaU4q7q7IUIIIZwmBZXu2MLF+GMHj2Xpm0v5YdMP7D+5n8VrFxO6OpQ6NepQ4/4aNycjBvgFcOanM0TGRvK3sX/Dz8ePVe+t4tFej5JnyGPS+5P439r/WdrKNHR8TCDvs8N1aQNcW6E9mByCmQ+0RsdiLJ7m4WKZ3EqHqc0MDkIIIWxVON2+FZ/x0XHR5BnyGPHQCKLjosnIyuCV+a/g6+3LhCETbm6XlpHGrAWz6NmxJ08NeIr0zHQGvTyITiM7UffhupYGBkZUioC2HGauKwMDcHVwUCCYGA4zESPdgT1uaYMlUlDLubRdSEMIIYQl8lCrD05jU6E+H28fvljzBUajkY4tOgKwZusath/ezpvj3iwy6fD7P79nz/E9vD/lfQL9AzEajZw4d4K4RAsW8uk4jJ57CWYYwURY31L7uXelfwwxxLCceoQA3YEqbm2POemo+Qh61JiZEEKIssMIJKB6C25gccrjxnUbM++FeQx7YBiXYy6zI3gH6/esp0WjFox7bBzfbfiOpJQkjpw5wrSR06gSVIXfd/1+8/VHw44SGh7K4dDDGI0WHTQaIzMJ5iWi3RMUFNDOtLs78UfHqxiZhRr11yZfoCFanjEhhBCiQCqq99fKar1enl6ErQ1j3Y519OzQk7bN2tJ1dFcuRF2gfq36hP0UxsZ9G3ni1ScA+GzWZ0wcOpFuT3Xj2Nlj1rYyG/gCX/7JHnNrJVzLPcMKpgSTzmHmoqdlfmlobcoEzqEiUIevLBVCCOEQOagl6mFYHRgANKzdkKb1mvL5ms8ZMnMIGVkZrHx7JR56D65cu8J7y99jaL+h9LurHwBzvphDcmoyTz7wpLWH+h09bQhmmlYCA9BSz8HtutEHI58CndzdFLN0QE2gPloKs4QQouIyAFdRmXCtmPLesUVHHrn3EVauX0nk1Ui8PL1I+SuFb9Z/Q2p6Ki89+RLfbfyOKR9NITU9FV9vX0JWh5CWkUbX0V3JzculQa0GRF2LsvSQZzAygyNstPo9uoB2qwtEc4kYFlOfi8Df0OpofxoqDbMnas28EEII90hC9eomYVUp5bbN2rJ3+V7+/re/80ivR1j2yzKysrNo2bglzw18Dg8PD5549Qm2B29nzvg5/L7rd3Lzcom8GsmzA59l/e71xMbHciPNolpHCcBrBPEc+zhry9t0Be32HBTWmSp4MBuYgbbSZxTlj5qPEFjahkIIIRwmHZXdsJQkRreb+PhEhj04DE8PT2Z8MoPGdRvz04c/MW/JPOYunkvbZm059t0xdh7ZycOTH6Z3l95s/992mg1qRnh0OADVK1cnPtmiQj256FiGkTcI5rqV79DltNtzUFgsmcSwhYb8iJFmgE0VKpwuB9WLkIUKEMrGT1cIIcqmXNTSxMtYNQesU8tOjHp4FFNGTKFKUBW6tO7CyvUr2bR/E62atGLsY2NZuWEl5yPPYzAYGPfYOIL8g6gcWJn7ut7H+1+/fzPdcUaWBRMadGxFxxAOs4wYLM6T7E5lo+fgdnfxAAbmA21L3dZd9Kiy0HUoqz9lIYTQpoKUx9Go3AVW0Ol0HP/+cFl7PwAAIABJREFUOB2ad6D9sPZcibtCyI8hhEeH02tcL+rXrM+Zn86wfs96hs0ehl6vZ94L83h59Mukpqfy8n9fZuX6lZYe7jzwOsGstq6V7lc2722juUg9lqDu03uixaWPRlQSpQTAC/Bzb3OEEKJcSEFdchOweF5B5cDKPHT3Q8TExZCVk8X5yPM8/cjTRF2LYsuBLcQlxjFt5DTCLoex98Re9Ho9k4dPZmfwTsKjw9l2aBsfrviQj7/5mONnj1tyyDR0vEcyowjhhM3v1Y3K/j1td6qTxxxgEloOdoJQ8xEkSBBCCOtlAlFYndmwVrVa7P9qP03rNeX42eP0eLYHWdlZrPvPOvrd1Y9Wj7ciNj6Wvcv20qB2A1oPbU1eXh6ha0JJSUuhy+guGAwWL3swYmQlHrzKIWKta6m2aPdiaqkrZBDDRurzG2qYobG7m2RSNirLYg5q3YUsfRRCiNLlAjHAJayqg6DT6fjlk1944/k3mP/9fNZsXcP4IePJyMpg97HdHAo9xNThU6lTvQ7rdqzjxLkTzBg1AyNGNh/YTOjFUDbt38SFqAuWHvIgRp7kCAuJtnZqpPaU/eCgQDSxxLA8vzR0T7ScijkeFRz4Ux76boQQwvEKUh5fQKU8tkH3dt0ZcM8A3v/qfX7e8TNtmrZh7OCxrPhjBZdjLuPv68+kYZPYuG8jB0MO0qRuE4Y9OIzPfvyMsxFnuXjloiWHuYKOKQQzlRgsTnKgdeXz0tQTP7KZCvwTLS8slFTMQghRXApqaaKJhQB+Pn489fen+OaPb8jMvtWV4O3lzdjBY2lSrwlrtqzhUOghKgdW5uzas4RdDuO+CffRsHZDTq85zdpta3l6ztME+gcS9lMYUdei6PlcT6pVqgbA9SSLVhpmAAvI5B1Cyn5Pwe3KT89BYVHkEsMearECHTXR0REtBkK5qMg4HTXU4One5gghhFtlo+ogRGG2Em6P9j346cOfWLVpVZEKh6s/WM2YR8bQqnErpo2cxr6T+zgdfpqklCQmD5/MmUtn2HN8D54enkwdMZXNBzZzIeoCcYlxdGzRkV93/kp8cvzNJYql+J08HuUoa4grn4n0tXfBdIZudMfIfOBudzfFrIJUzPUoryGbEEKYVpDyOAaLViBUCapCUkrSzf/XqV6H6I3RPD3naTbu3cjJVScxGAx0HNGRpNQkDq04RM2qNWk9tDVGo5HTa04TlxhHj2d73KyWaGHVxKMYmM5R/rLhXZYpFeMyFM0VYlien4r5HrQ61FCQilnmIwghKopE1LyCJPOb1K1Rl0//8SkHQw6SmpFKZnYmU4ZPYUjfIWw9uBWD0cA/nv4HHh4efP3714RdDmPi0IkE+AWwfvd6Qi6EMH3kdPIMeWw+sJnLsZe5kXaDPcf3kJdnUaKEeOB1mjGerVxyxNvWuooRHChGojlOTT7HkxxUfgTtdeQbUEt1klHLHrWbLFoIIWyXBlwErlFqIqM61evwxWtfUKtaLeIS44i8Gsnwh4YzY/QM1u1Yx5VrV2hUuxGj+o/i5+0/s/vYbjq16MSTDzzJ4rWLCbscRsvGLRn72FgW/7yY4NPB7AjeQZ6h1MAgB/gMGEIwOwm1pmJD2VZx70070wIP/g1YXV/TpaoCDZAgQQhRPuSghg+uY1VxpEWvLmLSsElkZGXQdXRXYq7HELY2jNCLofR7oR/NGzYn5McQDoUeovf43vRo34O9y/Yy/LXh/Lj5R+rXqk+Lhi3YEbzDsgMa2YIH0zlEiPVvsuyrSD0HRcWSQAyrqcNudHQFarm7SSZlws0SHYFU5HBOCFGWFaQ8voDqNbBCgF8Ay95aBsCJcyf44OsPyMzOJPFGItNGTiPkQgi7j+0mOyeb5wc/T4BvABevXOTZgc+y6MdFXI65TEpaCpdiLllyuLPAMxzhTaKJK3XrckouNQB98OQGz6Pj30ANdzfHLC+gPlDd3Q0RQggrJKFWIGRZ97KBvQfyytOv8OCkB6lRpQb333U/X//ra8bMGcM3679Br9dz4KsD1KhSg7ZPtiUrJ4sPpnzAzKdnYjAYWLpuKS+894Klkw2TgPdJ5lPOW9vS8keCg8J6Uo1s3qIspGJugJq0KIQQWpWJyldgZRKjnh17MnfCXAL8Avhbp78xe+FsPvj6A3Q6HfuW76Nh7Ya0GtqK1PRU7ul4D7u/3M1b/3uLt5e+DUCTek3IzMokNt6iDMYGjHxLLjM5wTUr32G5pd0LoDtE5adirstqdDQHmru7SSZlo+bOZiKloYUQ2pOHKqV8Cat7CwB+/+/v1KhSg2fnPkuvLr0Y2HsgX/32FSnpKZw8f5Lpo6aj1+vZenArkVcjadGoBeOHjOebP77hRtoNklKSSM2wIC+RkZ0YGcJRvuCqtYMd5Ztk+DflCKcJpj9GBqHm02pPQWrRECAWqyb2CCGEUxTMKzgF1tyDe3t54+t9q7huWqa6Tp88f5Kn3nwKb09v3p/yPgAHTh1gxR8rmDFqBnc0uAOAWQtn8c6X7xRJilSKKHQ8wxH6chSLyixWNHLPWZIYzlKNL/AkHvgb4OPuJhVTuDS0D1osXi2EqAhuoG6l4lFLsm/z8uiXqVm1JmGXw4o8/kD3B9j/9X5eHv0ymw9sJjY+lsoBlRk9YDTHzx1nR/AOalatyfgh4/lz/59EXYviwKkDvPTkS7Rs1JIfNv1ASloKu4/tJjfPTFrFW9LR8S7ejOAgwY554+WTzDmwVBfq4cFbGBmHlntcgoBGSJAghHCNTCAalcyoBD9//DOHQg/x7rJ3AWjbrC1vv/A2lQIrsXn/ZmY/O5uI2AjufOpOfLx9uPDLBbKys+g4oiOVAytzft15jp09Rs/nemIwGBg9YDSXoi+x5/geS1ppBNZg4BWOctm+N1wxSM+BpWJJIZrfqcN6oD06Grq7SSYVlIbORc1H0G4YI4QoywyoIc1LmCyQdLtVm1ax6+guPD08MRgNNKnbhI+nf8zxs8eZ9vE0ToefZvqo6cTGx7LvxD6uJVzjuUHPUbt6bb5Z/w2P93ucbm26cTHqIsfPHefk+ZNEXo20pKXBwHCC+Q+xJNvxjisU6TmwjY47eQL4D2g0SACV/7EuWs3gIIQoiwrmO5VQHMmcXl168e0739J3Yl8uRF1g2ZxljOo/ivbD23M+8jx/LvqTrq270urxViTcSGD1B6t54v4niLwaeTOr4Ve/fUVyqkXX+BiMzOUISzE50CFKIj0HtoohlJoszk/FfDdaTcV8A5WK2RctzpgQQpQlBSmP47DpcpuRlcHMp2bSumlrfvjzBw6cOsCLT75I68at+f7P7wk+Hcz0UdMJ9A9kw94N/LLzF3Q6HekZ6bzx2Rus37OerOxSlz+olMeeDOUwe5Hp2jaR4MAeV8khmh00YAUGaqCjk7ubZFIOapKQlIYWQtiioJRyJOrzxEL1a9Vn5dsrGfHQCDYf2Mz1pOtk5WQxbcQ09p3Yx/Fzx8kz5DF52GT2n9zP/pP7qVapGpOGTWLttrXExsey/fB21mxdQ3xyvCWH/B0YSDDfcUUSGdlDhhUc6U76Ap8CHd3dFLP0qGGGOkhoKIQomQG1JDGWUosjFebl6YW3lzc/vv8jOp2O/j37s2brGobNHoaXpxfHv1erBzuN7IROp+PUqlPk5uXSaWQnAvwCCF4ZzOyFs1m9ZbWlhwxDxwwOs8G6NyjMkcuDI8VwiRgW55eGvhd1n64tRiAVNWboiWRZFEKYloSqg5CIVR3z93a+l6PfHmXWM7M4FnaMoa8ORafT8dKTL/HXkb+4EHWBc5HnmDF6Bgk3EthzfA8Xr1xk2shpJN5IZEfwDv5v9f9x6sIpSw6XCLxGEM+xl7O2vE1hmvQcOEsHquLNLGAGWq6pGICaUqm9MEYI4Q7pqOEDCxIMFtaiUQv++/J/8fPxY83WNcx8eib+vv60GNKC3NxcQteEkpqeStfRXcnNy+WXT36hd5fetHy8JXGJcXw49UPWbF3DwZCDlhwuFx3LyOOfHK24xZGcSXoOnOUamcSwhfqsBpoBLdzdJJNyUEsfs5BUzEJUZLmolMeXUXMMLOTt5c3rz7/OiXMn+Hj6x8Rcj2HSB5PYe2Iv00dOR4eOTfs3EREbwdQRU7mWeI1DIYc4HHqYaSOm4ePtw6b9m9h8YDNX4q5YcshtGHmcYL4klnSb3qsolfQcuEpXBqLjv8Ad7m6KWXrUXITaSH4EISqKgpTH0Vg1r8BD78HEoRPJy8vjlTGv0H1Md2Y+PZPZz87mnufvYf/J/Xw550tG9R9FuyfbcfHKRbb83xa6tO5CyyEtiU+Op/89/dlzbA8p6SmWHDICHW9ymBU2vU9hFQkOXOlOvICXgHlAJTe3xjwfVGnoqu5uiBDCqVJQQwgWJDG6Xf1a9Qn7KQyj0Uj/Kf3Zc3wPgf6BnFlzhitxV+j5XE9qVqlJ2Nowth3axuOvPE77O9pz9LujTP1oKp+v+dzSQ6Wh42MCeZ8dZFrfUmEL6UR2pRgMxHCAenyNjiCgM1q8R89DTfNJQ01Y9HJvc4QQDpaFymwYjVWJjKpXrk6AXwDpmemkpKWolQj39Gfroa2cPH+S7JxsriVeY8rwKVyOuczuY7vJyc1h2shp7D62mwOnDvDj5h/ZuG+jJYdTKY/1DOIwv3LJ2pRLwh7Sc+BOXbkTHZ+iVjZokw6oAdRD8iMIUdbloZYlXsXq1EAfT/+YF594ET8fPz5c8SGzF87G19uX0DWhZGZl0mlkJ3Jyc9DpdOz+cjfN6jej1eOtyMzO5K8lf7Fw1UK+3fCtZQczcggPpnOIvVa+Q+Eg0nPgTjHEEMNX1CME6A5UcXeTTEpHTVrUo3oSJKQUomwpSHl8AZU11Uptmrbhm3nfUPfhutxIv8Gc8XM4HX6a4+eOE3k1kknDJpFwI4H9J/cDcOLcCaaPnI63lzcb927ky1++5MS5E5YcKhojMznCS0QTYX1LhaNor0u74jESzGqgLTr+hU2jfy6QhxqbDMWmDxchhJukAGdQwwi3ZTecP3M+Qf5BJl/WpVUXBtwzAAC9To9er6d98/Z8t/E7klKS+PQfn+Lt5c3abWvZenArb41/i5pVawJwOPQwry54le///B4Ao7HUbopsYAG+tOYIi5FaCG4n94Ba04MG5PAuOp5Cy7+fyqj8CFKvQQhtykEVR0owv8lLT75EXGJckUyEzeo34/7u9/PqmFcJ9A+k1eOtSM9MJ+bPGBJuJNCgVgP+3PcnMz+dSW5eLhGxETcnGi77ZRkT351obUt/x4OpHCTchncpnESGFbTmCjeI4WcasAMjnVGLC7UnC7X8KRcIQsthjBAVS0Ep5QuU2g8Zcz2GycMms3b7WgAqB1bm9JrTNKjVgL0n9tK3W1+8PL34c9+f+Hr78sT9T/Dusnd58f0XGf7QcFa+s5L5388nNj6WSgGVSExRGQ4tdBojT3OEt7lCks3vVziFfKRrm55uPIWRD1HZB7TJC1UaugZyRgnhTomo3gITSYz8ff3x9vImKaXodXjTZ5t4dPqjZOdk07ReUy7+epF3vnyHNz9/kz/m/8ED3R+gw/AOxMbHcvz74/j5+tFxREdaNmrJrqW7qPlATa4nXbemlQnAPJqxiNXWZFYQriQf5WVBZ6rgwWxgOlruyJdUzEK4hwUpj5e+uZRubbrReVTnIo+//vzrHA49zKb9mwAI+TEEXx9fWg9tTc2qNQn5MYQ9x/fw6PRH6dmxJxsXbrwZYJyNOMuDLz1oaStz0LEcI28QjFXRhHA9GVYoC2LzUzE35EeMNAVaurtJJhWkYs5EBQhydgnhXDmolMcRlJry+HzUebYf3k5EbNFFAPHJ8Yx5ZAx/7P7j5v/HDxlPemY6G/ZuoFJAJcYOHsvBUwfZfng763asw9PDk037N/HKp6+Qm2dB+gEdW9ExhMMsI0ZSHpcF0nNQFt3FAxj4FGjn7qaYVZCKuQ5ylgnhaGZSHnt6eFIpoBIJN0zPQtTpdIweMJodh3cQdS3q5uPb/7edfi/0w2g0otfr2bV0F3e2vpM7n7qT1IxULv12ibDLYXQc0ZHsHCsKL8A54I38FVmiDJF7u7IomovUYwkQD/QEfN3couKMqCVU8UhpaCEcqaCUcgJFEhnpdDp2Ld3Fgz0e5IdNP5h8ad0addm0aBON6jbip20/3Xy8XbN23Ei7wZVrVzAajew5tocXnniBQb0H0aFFB2LiYrir3V0kpSSx7+Q+S1qZio73SGYUIViU4EBoiwQHZVVBKuaGLMGIL9ANLeatyEN9mKUiqZiFsEcmEI5aiWBmGl+1StWYMnwKe4/v5eKVi8WeT01PRafTMXXEVLYe2npziCEtI43B9w1m68GtgBpaOH72OGMeGUOjOo0Y9cYo6taoy5hHxrBw1UJycnOK7TufASMr8WIgh/iDBJlwWFZJh2950Y0uwKcY6e3uppilQxVzaoAECUJYKheIQQ0jlJJLyNvLm5OrTpKbm0vnUZ1NXsQLUh4n3kjkrjF3YTAY0Ov1bPtiG30m9Cm2P08PT9Iz07mr7V0cXHGQXuN6sfvYblOHP4iRaRxhv21vVGiJ9ByUF9HEEs1X1OUIOu5GqzUVM1BDDaAmLUp4KoRpRtQE34uoIToL5BnyuBh1kemjphOfHM+BUweKPO/r7UtWThYRsRFMHzWdK9eucOTMEYxGIz079ORC1IUiyxJbNm7Jga8PULNqTR7t9ShBAUG89cVbt887uIKOKQQzlRiiEOWC9rqhhX2O8BvetANmY/FHiovlomZYhwLJbm6LEFqUApxGrUKwohbhPR3voWOLjpwOP10knTHA0H5DOb3mNAN7DeTn7T+z9eDW/2/vzuNjvLcHjn9mJotEotYgxE7EHvvWTXeuotR2S6k1tSRKexVVelu6oNZyKVVLUbTXLhr3RxBCJotGSEgsEWNJCNm3eX5/PKSLRGYizCQ579fLSysz85zHKyZnvt/vOYfPvT6nvLM60mXH4R30fqH3X14v8rI6bnlErxEkpyXT4d0OJKXmvq2kAl+RTmOCWIfZo5yENZPPbSVZS2qgY67Vt2J2BmphjccqhXi6MlAT5zvmP7WGSw0u7rzI8dPHCQwP5MOhH7Lyl5WMmTOG0W+NZu74ucxcMZP/bP8P2TnZuS2Pl2xZwgcLPsDezp49C/fw8vsvm3K53eQwgVAumR+pKA5k5aAkCyOOYIaipQNY8T5gEuoqQiz5HrQSokQzop4rOEOhEgOAqhWrYmtji3+IPx8t/oh1e9YxovcIPN09+Wn/TzTs3ZBlPy/L7UsQHh3O8m3LGd9/PB51PcjIzCA+MZ4aLjUedZlgFJ5DT09JDEo26/00KYqahrYMQeErrHVeA6hlj9UBF0sHIsRTkoC6WpBHAYBGo6HX873YF7CPjMyMv3yte5fuTB02Fd/jvnyx5gt0Wh0R2yJwdnSm7pt1sbe1J+rXKKIuR/H86OfznIxYsVxFIn+JRH9Wz+sTXmfQa4OoUK4C3239Lq8o/y0tj0sPOZBYmlwjjCqswIYs1P4INpYO6SFG1JHQdwEHwM6y4QjxxKSiHja8Sb4DipvWa4r/Kn8O6w/nlibWca1Dz2d7snDKQtIz0xnSfQjhF8I5E3OGu0l3GdpjKPGJ8fgH+5Odk83ot0Zz7tI5wqPDH3r9tIw0klOT8R7kTfC5YPxO+mFvZ8/FuNwBiVnAMqAPeg4TIecKSgtZOSitWtMADXOAty0dyiM9g3oeQZIEUVKYMEr5z+rXrE9MXEzuJ/+tX22lb7e+DJo+iO0HtxPwQwAuFVzw6OdBZlYmwRuDaeDWgLZD2pKcmsyVPVeIvRFL476NSU1/uHOxTqvj6OqjrNuzjuXblv/xBQU/FLwJIeLxb1oUN5IclHaevISWb4Hmlg4lX1rUbYZqyFqXKL6MqKsEBvJdKchPz+d60r5pez5Z/gkN3BoQviWczQc2M2zWMDo270jAmgBmr5rN7JWzadGwBSd/PEncLbVM8V7KPWxtbJk0fxIJdxPyfH2tVovRmBtUFPABevYU+l5FsSdvtaXddS7izioyiENDJ6yx0bGC2mFRWjGL4ioRuHD/dzMW5h3LOJKVncWQ7kOYNnwa+47tIzw6HCdHJ7z6ebE/YD+B4YHUd6vPqN6j2LB3A1FXooi9EUufF/vg7OjMyH+PZO2utaRlpOV7nfurEonALNIZShjnHut+RbEnKwfiD52oSCafAu9jjecRHpDR0KK4SEOtwilEx5Fx/cfRt1tfuo3tRlmHspzbfo6rN67S+b3OODk4EflLJJcNl+n8XmeqV65O5PZI9h7by4CPB5h7KSMKG8lmCqe5aX6koiSSlQPxh6ukYWA/rmxFQwOggaVDylMW6ipCOmqPBCnIFdYmB7UC4RIFjlL+M51Wh7OjMxlZGTSr34xxb49j4U8LSU5L5nr8dbwHeRN9NZpTEae4decWEwZMICYuhqOhR1EUBa9+XmzYt4HEpERTL3kII30IYQU3SDH3NkXJJSsHIn+t6YmGhUA9S4eSLx1Q9f4vSRKEpeUzStkUWq0Wv+/8cHZ0ptvYbtjZ2nH9wHX6TOnD7iO70Wg0+K/yp16Nerj3dSclLYXjPxzHraobjfs2JjM7k9rVahN1JcqUy8WiYcb9zoZCPETeTkX+gtlFOh6AD2qBofXJQX0jPou0YhaWVchmXq5VXFn/2XpcK7sy+dvJ1HGtw6/zfiU5LZlD+kO83F7tWKgoCt7zvKlWqRrT35ue+//3Uu7hVs2NjMwMUxKDVDTMxplGkhiIR5GVA2EaT1zR8SkKI7HmpFJaMYunLR01QTWzs6GDvQPTR0ynWqVqjOg1gk2+mxg8fTDNGzTnt+9+wz/Yn8PBh/Hq50Wz/s1yn7dy+kqG9hhK0/5Nib4a/fdKg/wowDZgCnqumBepKI3kzIEwzXWSuMZuqrEXaIYGN0uHlKdM1El22YAT1pzGiOIuB7iBeq4g/0KAfM0cNZMZI2awePNinBydePO5Nzl46iBBEUHsObqHGSNmYG9nT5eWXVj16yqSU5MBCDwTyDNOz3DgxAFS0lLy7Hz4N3o09EfPAgyyviZMI2+dwjwhBBFMV6A/WOknEAW1nvz3+78LUZQU1AOx4agrBmb0LHCr6sa096YB6vhko9HInqN7GDx9MDfv3GTRlEVotVrOXjzLC2NeoI1HG3RaXe7WAsDN2zd5/8v3uXm7wG9uAwpj0NOeII6Zd5OitJOVA1E4BiJwZSUasoGOWGPpo4J6UiIRdZvB3rLhiBIgBbXl8S3MSgoqPVOJz8Z+Riv3VrRr0o5NvptIy0hjRK8RpKWnsffYXm7duYVXPy/ibqrNi27fvc1/D/2XXs/3IjM7k91Hdpt6uUxgGTb0JYgAZJSyKAQ5cyAeXzvcyOELNAyxdCiPJK2YRWHl0/LYztaOqhWrEnsj9pFP79CsA8d/OE5aRhpVXq6S28b40MpDtPVoS6vBrbhsuEzUL1E4lnHEva97bjli9crVSUpNyt1WKMButHhzihiz71GIP5FtBfH4ThFLMEOBbsBpS4eTr7uoI3HjMLt9rSiljMB11O+bPGYh1HSpyawxs/J8avMGzQlaH0T9mvUJDA9k3Z51OJZxxKOuR+5jPlz4IfZ29qydtRaj0cj2/23HpaILM0fNzH2MId5gSmJwDoU30NNTEgNRFGTlQBQ1LW15B4VvsObBy7ZADaCSpQMRVisRtSyxgCZGft/58dr418gxqvWLNV1qsvRfS3Gwd+DVjq+y4/AOek/urXYx/CWSo6FH6T6xe+7zP3//c6a/N52giCBquNRg6c9LORl+Er+TfqZEeRv4DGeWcYjsQt6pEA+RMweiqClcI4zKrL7/3dUea/w+M6K++ctoaPF3D0Yp38CkfgX1a9Ynx5jDZcNlAOb5zKNvt778c8Y/Ke9cnr7d+hIQFkDY+TCMRiNe/bwIigji/JXzABzSHwIFWjRswbc/fcuCDQtyxzM/QjYavsfIWwTzPy7JWpgoWrJyIJ6strijsADoXuBjLakiUBN1RUGUTtmoExPNrHDxdPdkaI+hTFowCYD5k+YzceBEarxRg4zMDMI2hZGSlkLLQS3R6XSEbwnHqBhpPqA5mVlm9Fb+w/8AH/T8XpgnC2EK6/tEJ0qWayRg4CdqcgyFtkAVS4eUpzTUE+ig9keQtLn0eNDyOBp1+qeZbty+wdThU1m7ay0ASalJjOozCkVR2H1kNzdu32Bsv7Ek3E0gICyAS4ZLjO8/nqTUJALCAsy51AVgLHr+hUGKdMWTJcmBeDquEYMrq1ArxDthjT0MFdQWuLdRVxAcLBuOeAqSUJOCBB6r4M/T3ZPr8de5nnBdnZzYojMDXx3ITv+dHAo6xODXB9O9S3dW71hNaGQoblXdCAwP5NwlkyYjp6BhLs78k+NWfOBXlCiSHIinx4ARA4G4sQqFMkBbrLFiJge1FW4y4IhsNZRE6aidDa+BOcf4ypUtx6g+oyhXttxfzgVkZGbweqfX1fMDQGhkKKP7jKarZ1fW7FxD0/pNade0HeXKlmPvsb3s9N9pSmKgoLABHT0JYjeX5MCheHpk8VRYThtaAwuBZy0dSr40QGXAFWts8yTMlY160PAGhVop8F/lT9dWXVEUhZe8XspNBmx0NhxYdoBuY7vlPnbyO5OZ5zOPG7dvkJ6RzozlMzgSciT34OIjKZxCwZsQjpsfpRCPT5IDYXnqaOjFQB1Lh5IvG6A66okJ+VdT/Cio20VxqA2NzNCsfjPmjJtDUmoSN27f4Jt13xCwJoDU9FRaDW5FVrb6gmtnreWzVZ/9ZUVh+JvD6d6lOyu2r+DgyYOmXC4ODdMIYj3S2VBYkGwrCMszEHX/PEISaitm6yssNKK2Yr6DtGIubh6cK4jHrOZXzo7ODHhlAHPHz8VGZ8M/nv0HIedC2PLbFmLiYpg4cCKfkt8qAAARBUlEQVQJdxMIDA8EQKPR0Kl5J47//seH/dDIULb6beVi3MWCLpcGLKAMAwjklHk3KETRs779XlE66UlFz1fY4IFixZ+a0oHzqOfGMywci3i0TOAiEEWhpiZOGDiBdZ+t47fA33hu1HOs2bmGkb1H0rBWQ3b578L3uC+zRs+iSgW1AMf3uC+vdny1MJHuRkdT9EzlGEmFeQEhipokB8K6BHL1fivmTkCgpcPJ14NWzLGY1ChHPEVG1H4F4eTZ8thUC39aSOyNWN7o8gZarZapS6aSkpbCfJ/5AExaMImyDmX53OtzAFLTU0lJS8GlosmNQUMx8jx6enKSApcWhHiaZFtBWCcDcRhYQw1igM6o3QesTwpqGZwWtbJBziNY1h3ULYRE855WtWJVtn21jTUz1/BGlzc4ePIg8YnxGOINjO8/nribcRwJOUJ6Zjreg7wJDA/kxO8nqFCuAl79vNh5eCfXE65T1qEsjWs3JiQy5FGXuw18TD1GcpBLhb1VIZ4keSsT1q8pTjgwBYWpWPNuvyPghrWmMSVbCuoqTkrhnr5pziY86niwaPMiFk9ZTPTVaDoM60BmViaHVx7GvbY77n3dSUlLIfSnULRaLS0GtqCsQ1lG9xnN4s2LSc9Mp3L5ynz/yff0ntw7r8tkAcvJ4VNCzU1fhHi6ZFtBWL8zJBPELHJoDmy1dDj5SgUiUfvyF6orrjBbFnAF9e/djMTA1saWVzq8QqVn1MlbLRq0IO5WHD/s/IEPF31Iy0YtmT1mNoqi4D3Pm0rlK/HpqE/Jys7CZ74P7rXdea3TayQmJfL1uq9Jz0wHID4xHntbe8rY/a3Hl4IfWjzR4y2JgSgOZOVAFD/teBkjC4Gmlg4lX1qg2v1f8q+s6D1oeXyNQp35OLDsAM96PovXXC/W7lrLsn8tY2zfsXj08+B87Hn2L9nPs57PUqdnHW7evsl/pv2H4W8Op+Wglpy9eJYm9ZoQEROR52uXdy5PYlLuz//zKHxAMLsLd6NCWIasHIji5xR+gCcKY1AL1KyPEfUHVzjqmQRRdBLJ8zCoTmvaEaoWDVvwSodXmPHdjNx5CAs2LkBBYZ7PPBRFYdqyaTjYOzCy90gAZiyfwcVrF6ldvTZAvokB8CAxSASmcpfmkhiI4kiSA1E86ckimJXY4Q4sxlprBjJR2/RGoW47iMJLRy0hjeahMtL+r/Tn7LazPOP0TIEvYzSqzQ4ql6+c+2fRV6NZsW0FPZ/ryYBXB6A/qyckMoTGdRoDcOvOLTz6ebA/YH+BL4/CemxojJ6vuCAFr6J4kuRAFG/HuY0eb7S0ReGwpcPJVxJwDrXu3swOfaVeDuoqQQRqCWkeLsReoH7N+nwy8pMCXy48OpyQyBDee/M9nBz/OD360eKPCIsKY/Unq1kxbQUedT3Y5b8r9+sPkopHCAQ6E8xQArlRYCBCWDEpZRQlwzWuY2At1QlGQ0eggqVDylMaf2yElEXOIzyKgvp3FQ0FtQYyxBuo6VKT0W+NZqvfVqpWqsr8SfPxqOtBQFgAivLXnlp3ku4wrOcw7G3tOXDiAABZ2Vls3LeRck7lqFejHl+s+YLNBzabEulVNExAz0QMXC3EnQphdeStSZQ8nXAgk4nAdMDZ0uHkyx619LHglfDS5x5wFbM6G7pUdCFyeyTHfz9OGbsyNK3XFJeKLqzfu56hM4c+9PidC3bSo2sPPlr8ERExETRv0Jyv131tTpSpwBLS+ZwzJJvzRCGsnawciJLnKtkYOEY1fgRc0NACa0yEc1Db4cho6D9koJYmxmHWKGWAlLQUMrMyGd9/PFGXo2j9Tmua1G3CoNcGERET8dAhQr+TfrzU/iWG9RzGP9/4JyGRIfgF+pl6ud0Y6UEw27klhaui5LG+N0whilo72qGwCIVOlg4lXxrUiY+ulM6U3Yg6Rvk6Zg1HAvB092T4m8PxnueNjc6GsE1hVC5fmVo9auFYxpHTm0+TY8yh0VuNyMjMwM7WDscyjiQmJeJYxpHXO7/O9fjrBJwOMOVywYA3eo6ae4tCFCdyIFGUfKc4RRBd0PAu6o8f66MAN1FLH29aOJanLQH1vq/xl8Tgz4cF82Jroy61NKvfjAkDJjDw1YFkZWcxacEkqlSowoSBE7h97zZTl06lVrVauWWJa2et5cJ/L2BrY0tqeiq//O8XUxKDeMCHerSXxECUBpIciNJCIYh1ZNEADbNRC+OsTzbqyfyzUOJ3sVNQKzgu8VAFx4ttXyR2Tyxtm7TN86k9uvbg4s6LuFZxZcO+DZz4/QRfe39NWYey+B73ZZf/LmaPmU2Tek3YcmALcTfjGPz6YAA2+25m1a+ryMo2qWwkC1iMDfXRs4itVloyK0QRk+RAlC6nSSGIWSjFpBVzSRwN/WCU8jnybXkcEhlCVnYWi6csRqN5ePfz9wu/U6FcBb6c8CWKojDxm4m4VnZl6rCpAHzw7QdoNVo2/HsD7rXdSUpNokp5dbTyTv+dfLz044LjVPBDoSV6vAnkXuFuVojiqTTubgoBBm5jYCvVOYKG1kBVS4eUpwzUBW0jauljcU7nH5wruEiBDaHSM9O5m3IXr35eXLh6gYS7CeyYvwPvQd74h/gTfTUaWxtbJg6YyIHAAwSGB1LXtS6j+oxi4/6NxMTF4OToRL+X+lHHtQ4KCpO/nczFayZNRo5Ew7vomYnBSjtwCvGEyYFEIV7Ahnu8h4bPUY8FWic71AOLlSwdSCEkopYmFrAK0rBWQ+rVqIfvcV90Wh2n1p/CpYILIZEhpKan0qNrDyIvR9J+aHvsbO04u+0sN+/cpOOwjrhUcCF6RzTr9qzDa64Xzo7OBP4YyMwVM9l2cJspUd4BviKdbzkjFQiidJOVAyEuYcSAnsp8jw4HoA3W+Bk9B/WH7D3AATVZsHapqCsF18mzwXXFchVpVLsRNxLUhoJb5m7Bq58X3+/4Hq1WS2hUKBMHTiQ+MZ7uE7tz7vI5fAb5EHcrjsDwQOJuxeEzyIfY67EcCTlCm8Zt6Ni8I0u2LCEzK5Pl25dzJuZMQVEaUdhANm8SygFuybkCIWTlQIi/a0NjFBag4Q1Lh5IvDWoPSDfAxsKx5CUbMFBg5cXsMbPxGezDM8+rnaBaNWpF0IYg4hPj+e3EbwyZOYRNczbx1otv4dHPg5i4GHyX+uLp7kmjtxqRmJTI/iX76dKyC6t3rGZIjyFs3LeRid9MNDXS/0PBh2BOP8bdClHiSHIgRH5a0xMN3wL1LR1Kvh6Mhq6Kdax1mDlK2cnRiVrVauU2KBrbdyxL/7UUnVbHC6Nf4HDwYdyqunFu+zkOnDhAnyl98KjrQdimMJb9vIxJCybhUtGF1Z+spla1WqzZuYYlW5aYMgchFg0zCGLd492wECWTbCsIkR8DUbiyHLUSvzNqw2ProqDOHUhE7bDoYMFYklCrK27fj8sEmVmZ3Ll3hwkDJ2Bna0dYVBj7ju3jH13/Qf2a9dmwdwP3Uu6h0+rw6ufFsdBjnDxzkorlKjKu/zi2HdzGZcNlNvluYsX2FQSGBz40R+FvUtAwF2cGEID+se9ZiBJKVg6EMEUbqqNhFgojsY7P6HkrB9Tk6SYJGai9GfKZmFgQezt7zvx8huTUZNq804YcYw4TB05k0ZRF9PqgFzv9d+Jg70DE1ghS0lNoNagVTo5ORP0SxcJNC5mzZo4pl1GAbcAU9FwpXKRClB6yciCEKQwkc43dVGcPGpoCtSwdUp4elD5m8eRLH3NQzxVcxOyWUhXKVWDznM2kpqcSERPBZcNlfAb7YIg3EHQ2CP1ZPf1e6kf3Lt1Z+etK0jPTibsZx7j+40i4m8Dh4MP8uOdH9gfsL/hiGoLQ0p8gFmAobAojROkiyYEQ5jBgwMAPuHIGaA+Ut3RIeUpFTRK0qElCUVJQtw6iwdzWQA72DiycvJCxfcfySodX6NCsAyt/XcmZmDN0admFwa8P5vv/fk9qeirnr5zHe5A3yanJHAs7RsRFdXLimegzhESGkJKWTwelP1xDYQp63uearBYIYQ5JDoQoDAMRuLISDdlAR6yxZkBB/eF9ByhD0ZyYSAZiUA8dmjkgCWBErxF8NvYzPl76MafPn+btl98mJS2Fo6FH0Z/T4zPIBycHJ/YH7CcmLoZWjVrxbs93WbtrLcmpyfz828+ERIYUdJlMYBlleIuTHMfkExBCiAesd+9UCGunJ5UgZqGlEQrrLR1OvtKB8zxeK+Ys1O2DSArsbvgoCXcTcv/7y7Vf8n9B/8e096bhWsWViJgIvtv6He+//T5N6zUFYPK3kwkIC8CxjKOpl9iNFg/0eHOMpMJHKkTpJgcShSgqbXkBhYVAS0uHkq8Ho6FrYNpHg8cYpZwXxzKORO+IJvZGLB2HdaR2tdpE/hLJJt9NvPvpu1QoV4HI7ZGERoXy6rhXzXnpcyhMIhgTDiEIIQoi2wpCFJVrXMLASmoQA3Sh6Hf7i0YKanGmFnAk/48Id1DPFSRSZAvzWdlZZOdkM6LXCBISE/A94UvDWg0Z0n0Ivid8uRB7gVuJt7iXco+jIUcLKksE9fTDxzgznONEFU2UQghZORDiSWhFeXRMBSZhzY2Oy6J2WfxzGpOKWpr4hEZG2+hsCPwxEPfa7rQd0paurbqy9KOlhJ0Po9PwTqY0MALIRsMaFKajl+FIQhQ1SQ6EeJJa43G/y+Jrlg4lXxqgIuCC2u7YjCZGhdWyUUuOrT6GTqdDp9XxxZovmDV6FsNmDePH3T8W9HTf+1sIZ59slEKUXpIcCPE0tONljCwCmlg6FGvRoVkHpg6bSsDpAL5Z9w2HVx6mcvnKNO3fNL+nXACmoWfrUwxTiFJJqhWEeBpO4Qe0AnwodC/BkiUwPJD+U/ujP6t2MfY94Uv1ytXzemgKGmZzl2aSGAjxdFhfbbYQJZWeLGAR7dlADjOBcZTyQ8Fe/bxYNGURgeGBNKnXhPFfjf/zlxUUNqDjI05x3VIxClEaybaCEJbSFk8UFgHPWjoUS9FpdUwcOJFK5Suxbvc6oq7kFhycRMGbYE5YMj4hSitJDoSwNHU09GKgjqVDsQJxaJhGEOuRzoZCWEypXtIUwioYiKIOK8khCbUVs/WWPj45acAC0ulPGKcsHYwQpZ2sHAhhT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align="right" alt="logo" width="173" height="200" style="padding: 10px; border: none; float: right;"></h2>
<h6 id="version--0189000-copyright-c-2017-2024-icar-nbpgr-license-gpl2gpl-3">Version
: <a href="https://aravind-j.github.io/germinationmetrics/articles/Introduction.html#version-history">0.1.8.9000</a>;
Copyright (C) 2017-2024: <a href="http://www.nbpgr.ernet.in/">ICAR-NBPGR</a>; License: <a href="https://www.r-project.org/Licenses/">GPL2|GPL-3</a></h6>
<h5 id="aravind-j-vimala-devi-s-radhamani-j-jacob-s-r-and-kalyani-srinivasan"><em>Aravind,
J., Vimala Devi, S., Radhamani, J., Jacob, S. R., and Kalyani
Srinivasan</em></h5>
<p>ICAR-National Bureau of Plant Genetic Resources, New Delhi</p>
<hr />
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alt="Zenodo DOI" /></a> <a href="https://aravind-j.github.io/germinationmetrics/"><img 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alt="Website - pkgdown" /></a> <a href="https://github.com/aravind-j/google-analytics-beacon"><img src="data:text/html; charset=UTF-8;charset=utf-8,%0A%3Chtml%3E%3Chead%3E%0A%3Cmeta%20http%2Dequiv%3D%22content%2Dtype%22%20content%3D%22text%2Fhtml%3Bcharset%3Dutf%2D8%22%3E%0A%3Ctitle%3E500%20Server%20Error%3C%2Ftitle%3E%0A%3C%2Fhead%3E%0A%3Cbody%20text%3D%23000000%20bgcolor%3D%23ffffff%3E%0A%3Ch1%3EError%3A%20Server%20Error%3C%2Fh1%3E%0A%3Ch2%3EThe%20server%20encountered%20an%20error%20and%20could%20not%20complete%20your%20request%2E%3Cp%3EPlease%20try%20again%20in%2030%20seconds%2E%3C%2Fh2%3E%0A%3Ch2%3E%3C%2Fh2%3E%0A%3C%2Fbody%3E%3C%2Fhtml%3E%0A" alt="." /></a></p>
<!-- [](https://github.com/aravind-j/germinationmetrics) -->
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<!-- [](https://www.rdocumentation.org/packages/germinationmetrics) -->
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<h2 id="description">Description</h2>
<p>Provides functions to compute various germination indices such as
germinability, median germination time, mean germination time, mean
germination rate, speed of germination, Timson’s index, germination
value, coefficient of uniformity of germination, uncertainty of
germination process, synchrony of germination etc. from germination
count data. Includes functions for fitting cumulative seed germination
curves using four-parameter hill function and computation of associated
parameters. See the vignette for more, including full list of citations
for the methods implemented.</p>
<h2 id="installation">Installation</h2>
<p>The package can be installed from CRAN as follows:</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a><span class="cf">if</span> (<span class="sc">!</span><span class="fu">require</span>(<span class="st">'devtools'</span>)) <span class="fu">install.packages</span>(<span class="st">'devtools'</span>)</span>
<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a><span class="fu">install.packages</span>(<span class="st">'germinationmetrics'</span>, <span class="at">dependencies=</span><span class="cn">TRUE</span>)</span></code></pre></div>
<p>The development version can be installed from github as follows:</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" tabindex="-1"></a>devtools<span class="sc">::</span><span class="fu">install_github</span>(<span class="st">"aravind-j/germinationmetrics"</span>)</span></code></pre></div>
<h2 id="detailed-tutorial">Detailed tutorial</h2>
<p>For a detailed tutorial (vignette) on how to used this package
type:</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" tabindex="-1"></a><span class="fu">browseVignettes</span>(<span class="at">package =</span> <span class="st">'germinationmetrics'</span>)</span></code></pre></div>
<p>The vignette for the latest version is also available <a href="https://aravind-j.github.io/germinationmetrics/articles/Introduction.html">online</a>.</p>
<h2 id="whats-new">What’s new</h2>
<p>To know whats new in this version type:</p>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" tabindex="-1"></a><span class="fu">news</span>(<span class="at">package=</span><span class="st">'germinationmetrics'</span>)</span></code></pre></div>
<h2 id="links">Links</h2>
<p><a href="https://cran.r-project.org/package=germinationmetrics">CRAN
page</a></p>
<p><a href="https://github.com/aravind-j/germinationmetrics">Github
page</a></p>
<p><a href="https://aravind-j.github.io/germinationmetrics/">Documentation
website</a></p>
<p><a href="https://doi.org/10.5281/zenodo.1219630">Zenodo DOI</a></p>
<h2 id="cran-checks">CRAN checks</h2>
<p><a href="https://cran.r-project.org/web/checks/check_results_germinationmetrics.html"><img src="data:image/svg+xml;charset=utf-8;base64,<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="86.25" height="28" role="img" aria-label="LINUX"><title>LINUX</title><g shape-rendering="crispEdges"><rect width="86.25" height="28" fill="#fcc624"/></g><g fill="#fff" text-anchor="middle" font-family="Verdana,Geneva,DejaVu Sans,sans-serif" text-rendering="geometricPrecision" font-size="100"><image x="9" y="7" width="14" height="14" 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transform="scale(.1)" x="531.25" y="175" textLength="422.5" fill="#333" font-weight="bold">LINUX</text></g></svg>" alt="Linux" /></a></p>
<table>
<tbody>
<tr class="odd">
<td align="left">r-devel-linux-x86_64-debian-clang</td>
<td><a href="https://cran.r-project.org/web/checks/check_results_germinationmetrics.html"><svg alt="CRAN check - r-devel-linux-x86_64-debian-clang" viewBox="0 0 70 20"><use href="#svg_697a7c5dcf7b785000c6" width="100%" height="100%" /></svg></a></td>
</tr>
<tr class="even">
<td align="left">r-devel-linux-x86_64-debian-gcc</td>
<td><a href="https://cran.r-project.org/web/checks/check_results_germinationmetrics.html"><svg alt="CRAN check - r-devel-linux-x86_64-debian-gcc" viewBox="0 0 70 20"><use href="#svg_697a7c5dcf7b785000c6" width="100%" height="100%" /></svg></a></td>
</tr>
<tr class="odd">
<td align="left">r-devel-linux-x86_64-fedora-clang</td>
<td><a href="https://cran.r-project.org/web/checks/check_results_germinationmetrics.html"><svg alt="CRAN check - r-devel-linux-x86_64-fedora-clang" viewBox="0 0 70 20"><use href="#svg_697a7c5dcf7b785000c6" width="100%" height="100%" /></svg></a></td>
</tr>
<tr class="even">
<td align="left">r-devel-linux-x86_64-fedora-gcc</td>
<td><a href="https://cran.r-project.org/web/checks/check_results_germinationmetrics.html"><svg alt="CRAN check - r-devel-linux-x86_64-fedora-gcc" viewBox="0 0 70 20"><use href="#svg_697a7c5dcf7b785000c6" width="100%" height="100%" /></svg></a></td>
</tr>
<tr class="odd">
<td align="left">r-patched-linux-x86_64</td>
<td><a href="https://cran.r-project.org/web/checks/check_results_germinationmetrics.html"><svg alt="CRAN check - r-patched-linux-x86_64" viewBox="0 0 70 20"><use href="#svg_697a7c5dcf7b785000c6" width="100%" height="100%" /></svg></a></td>
</tr>
<tr class="even">
<td align="left">r-release-linux-x86_64</td>
<td><a href="https://cran.r-project.org/web/checks/check_results_germinationmetrics.html"><svg alt="CRAN check - r-release-linux-x86_64" viewBox="0 0 70 20"><use href="#svg_697a7c5dcf7b785000c6" width="100%" height="100%" /></svg></a></td>
</tr>
</tbody>
</table>
<p><a href="https://cran.r-project.org/web/checks/check_results_germinationmetrics.html"><img src="data:image/svg+xml;charset=utf-8;base64,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" alt="Windows" /></a></p>
<table>
<tbody>
<tr class="odd">
<td align="left">r-devel-windows-x86_64</td>
<td><a href="https://cran.r-project.org/web/checks/check_results_germinationmetrics.html"><svg alt="CRAN check - r-devel-windows-x86_64" viewBox="0 0 70 20"><use href="#svg_697a7c5dcf7b785000c6" width="100%" height="100%" /></svg></a></td>
</tr>
<tr class="even">
<td align="left">r-release-windows-x86_64</td>
<td><a href="https://cran.r-project.org/web/checks/check_results_germinationmetrics.html"><svg alt="CRAN check - r-release-windows-x86_64" viewBox="0 0 70 20"><use href="#svg_697a7c5dcf7b785000c6" width="100%" height="100%" /></svg></a></td>
</tr>
<tr class="odd">
<td align="left">r-oldrel-windows-x86_64</td>
<td><a href="https://cran.r-project.org/web/checks/check_results_germinationmetrics.html"><svg alt="CRAN check - r-oldrel-windows-x86_64" viewBox="0 0 70 20"><use href="#svg_697a7c5dcf7b785000c6" width="100%" height="100%" /></svg></a></td>
</tr>
</tbody>
</table>
<p><a href="https://cran.r-project.org/web/checks/check_results_germinationmetrics.html"><img src="data:image/svg+xml;charset=utf-8;base64,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" alt="MacOS" /></a></p>
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<tbody>
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<td align="left">r-release-macos-x86_64</td>
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<tr class="even">
<td align="left">r-oldrel-macos-x86_64</td>
<td><a href="https://cran.r-project.org/web/checks/check_results_germinationmetrics.html"><svg id="svg_697a7c5dcf7b785000c6" alt="CRAN check - r-oldrel-macos-x86_64" width="70" height="20" viewBox="0 0 70 20">
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<h2 id="citing-germinationmetrics">Citing
<code>germinationmetrics</code></h2>
<p>To cite the methods in the package use:</p>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" tabindex="-1"></a><span class="fu">citation</span>(<span class="st">"germinationmetrics"</span>)</span></code></pre></div>
<pre><code>To cite the R package 'germinationmetrics' in publications use:
Aravind, J., Vimala Devi, S., Radhamani, J., Jacob, S. R., and
Kalyani Srinivasan (). germinationmetrics: Seed Germination Indices
and Curve Fitting. R package version 0.1.8.9000,
https://github.com/aravind-j/germinationmetricshttps://cran.r-project.org/package=germinationmetrics.
A BibTeX entry for LaTeX users is
@Manual{,
title = {germinationmetrics: Seed Germination Indices and Curve Fitting},
author = {J. Aravind and S. {Vimala Devi} and J. Radhamani and Sherry Rachel Jacob and {Kalyani Srinivasan}},
note = {R package version 0.1.8.9000 https://aravind-j.github.io/germinationmetrics/ https://CRAN.R-project.org/package=germinationmetrics},
}
This free and open-source software implements academic research by the
authors and co-workers. If you use it, please support the project by
citing the package.</code></pre>
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