Home / Drug discovery / ADME

Drug discovery ADME services

Through our Admescope platform (a Symeres company), we provide fast, flexible ADME and PK studies that support small-molecules, peptides, oligonucleotides, ADCs, PROTACs, pro-drugs and other modalities from hit ID to lead selection

ADME expertise

Through our Admescope platform (a Symeres company), we provide fast, flexible ADME and PK studies that support small-molecule projects from hit ID to lead selection

KLUv/QBYXDwDSjy3pCSQRKT57/Ext4wdkCCkDogAUMRmKnM7plotmoUKAAAAgAAAACDaCWQKaAq0 Knal6tnLqDzu3HCAAAz8hgMEYPzGq87xWMqE0wYEPb8EwDnMxrP9gnFGgEYeQ8l3nsO3apZbqQae x514RsHyDQfwcA6r4Dx+wfedgvkJB6BjVU0vYlVNzy8BBESsqjGWSwhs5SoZJKBW7fpeTe+nI/7u EXUeS7VJitAaKtgmQxcOv3pe27g8w59sq8q5Tt2epeWx2pWqaRdrjr1kXLtjG7a1E6V97a7nOqWp brhG5TesneYX/xjPKC3O4bnGZU2leVxTyTdLG5Ci4xu2cRq+c+2cpPkqtnjzNMcWS44ldB2AfNeS H6vXeY7X0ceu+s7xO+/Mc8ydpC5QSyBgeYY1Oadhss9zvIYC4lyLaXnOY3VPwXamJMsfrmJLbFbH cBzJ2B4g8P04+t/NMcdllkXLAMTyxxTzjkx7VDEnHEcyX8UW/8k/s+g0TsFuvootdBzfb2mOYoyv Vhk4FxALaHGA2wcgD4greB7jeBrPKDi/a1tAC+YpmUVojdH/kjTxW3bDf5rj+arzvFZFU0XXqbgj IFbRkzueY9oomuV5ft2XpV0LrGKLF89S86c3c1q+7TsOUGtxgDvG49uOcwHtPMcr6UNTM8vPh6KZ ouEZRmkBFnfH6VpmxbcmIJ7tV53SbHlOrbTu61oFNc+i5RYu0/DnruvZjQPIOTzHJi7LabnWjIs4 h/POgFyeZZSMy5+8xZI5JpV8v92O2bVGi1lwjEXDlpyegJoYv2CMlsd4fGu0O9Y07ycpQmPR8p13 YlWdkmkPqCVIr5isii8EiBYeX0Zv4jJPSwQg33GOwxwtj9l5LKOdkxShzXDMAbXewwE3TNdynpIZ GmjiMjiH2VNFtybxiz/HZYuqyVKaLAsghNLEeR7PsEZFtw1tFbOgljXATBXSvOYzTkjrmUrrJALt onWvAaB5rUDrGkXr2YCQ1rM0pPXxm9738Zej6Pv5dU30Xzz97yV5it38/iS9D0Px9GdJnmcv/+h/ eYrl1zOO1jM4lNF6PNsvuQNmnha/YAyoJUj5HINXMUuAyBgaDUBNV8AMj+cBeSe/UxXdsmqGqz3D VROXdVQTp/XutT5qpOa1r/nQPPsolp80ydF//3VNNMtOnr6f4vjL0H9dG8dyFMV/kqF4huXXNdIs vSfJ84+dNEPy69rZ/TiepNhFUhRL8uta+b9Iht88ya9nBNmtmjhNzNAsy7LTdH3//v+frSGbZaZ5 mllXM5MNv/jHT/7ym//86Vf/+tnffvf30Ic/DEMxHEMyLEMzPMM0VMNsDdmwDdvQDbvoxS+GoiiO IimWoimeYiqq4iqyYiu6Yh/9+MdwFMdxJMdyNMdzTEd1XEd2bEd37KQnP5mFpEiOJEmWpEmeZEqq 5EqyZEu6ZC99+cuwFMuxHEuyLEuzPMu0VMu1ZMu2dMtumqI5mqRZmqZ5mlnKmq3pmv305z/DUzzH kzzL0zzPMz3Vcz3Zsz3ds6c+/WmYiumYkmmZmumZpqnKpm3qpl3NvPrVUBXVUSXVUjXVU01VVV1V Vm1VV+2rX/8aruI6ruRaruZ6rumqruvKru3qrp317GdDVmRHlmRL1mSzk01ZlV1Zlm1Zl+2tb38b tmErtmNLtmVrtmebtmq7tmzbtm7bXe9+N3RFd3RJt3RN93RTV3VXl3Vb13VZVVVPtVRHNVS96qZs mqZmSqYie6rneZaneP6zn62pmqeZleZofrObbbmWaVmWo3uSpV/HdDRHchRdM1zDTA3P9aujd7O0 FMPvPZulp3mW4flN0hwzf5ammpIZSY7k6EmfjmcrrtlPw1Ml//jVlByz39uxNdlMLc+w9Cu5Zidp kuVIhuRvST+aX8y8X39qij/8v81GL7adTUmxh753NPvq9111W3bN1DRN0/RMz9RMzTIlUzIdxTRM w5/61Kc9dU/3bM/2ZE/2XM/1VM/0TM/sLE/yJM/xFE/xDM9/+rOf/XRN12xNdjVVMzVP0zRLszRJ czRFMzS/+U1vdrObbtmWbLmWmVqm5VmaZVmS5ViKZVj+0pe9dEmXbEmWVEmVTMmTNEmSJEmRDMlP erKT7siO66iO52iO5TiO4yiO4fjHrI+u2IqsuIqqmIqnWIqkOIqiGIpe7KIbtiEbrqEanqEZliEZ jqEYhuEPe+j+9rNf/ek///nLT/7xiz8Lv//+9+961q9+9apP/elPb/rSk170oQ/999537/a2r13t aT/72c1edrKPfexiD/vvvvfMkRFkKlX7WteyBEtTxS+Ypj0IjZHTsayC75dWNb9YjB0tEdtwq6Op 6Fhtv+o1zuVYR7tjFS2vWjmsCeUxDc+anJZhyw3T8BwHkC24io5nVWsFkPNUbON3nJJbNnyz5HmG 1/xO8ztt5bCGztx1LqtajdbgKNmC0BIaXcsreqK1UjkMQMxStdpc1wJzXQtoLTx2q9od5zmcinN8 QCeeU3J+w5oXLs816jWgY9dzHIBuX3e9ilmEltDiG57dhC3DH0JLsGg5Bd8CGkJL5Km4AJXRVHEA 8l3nqfiDyOoVPbFj9f3SMis2a0wmJmPRck7Lt4auMSY7lscdVj3Xt4bjMjyn49erXlV0y3FZ5/L1 fllNn47zHJ7dL3pz9GR5nv/s//S+m5+p/VIl3+/5F1opigsGLbPkOxOzYA1XAhDLn1EVm1R0C0Cc w/Qd53NqKv0k5TJz1Ejya6Z5aqQvvdZJ8tTI0y80Rix/agE6tjOm7jXxM3KWKYBpJZtyOs7pejXR MitWTaXH73gAbHnFMGYem2s85uQx64YFPDy7+Z2axjlW1ZdzknKZ1xjxDKc6MeuGLSbxT1Iu+xoD z2Xac8dzjNO7KHbyO43pGqMxAIjlALE/tfHzZ6n90Id/lsfPf+9Hbfy+H+Mcnu1XLCD+7nHXDb/s +k6Q6FpmxRwCRNcY6svhuKxrDJxFy3ked2IW/JqYyknKZRojZsG4xxROUi4jvdcYd4x6xTCqWY6p pu8nqddy+HXXbjzLrmmcpFzmSsGzqgFQz3Ms0uCcjlnwRaPhAavGwO96rlccj1P1rcnp+BVL1SzH ZWHoSfOH53ma5Sf2Uxs/OZLl2Xsn//f7qXnzm2Hpw97//07vNW+WY0n+8zxL/+ExR5ZwXDb2Uwv7 qZ3ea+P3GkNArbJoWUXHapXjstAMSa8x4gBkHIcD0PDKcdn4GaTXxt8/6D1Yeo0R5zBL13KCFQD/ FnFsVrWF1l7YVKvvXA6g0ROT+nK0hSb+7gWIv3ttoeF0nZpocS7jqBikLTQ8vuPXgA5CY8RzLgtw XJZAaAmZll+qFKEx7trluMx//zu/xqBrGb/jj8mcpByX9U/8WoKDuOscvnM8Ns8TTWPcdQ7H98px mda/cBGjalW66Gg2LpZKoxC2pUSlRUC6lsB7PO95j+e5jJBnRi1HsVg7Q+UNX5zUei5rS/Y6aj3t iVAcBUoOBdjXIdhh1esPh+68aKTTuHgXgQ8kDMGWiod0bIbDZTFLqvAqB/YYBBnEFTGTpHOGk6Rr PK8kRKEdi9cqCPWQQY4bKR1m0KDdZrMqFmuLoh2XbS4dGHZEsLsFqsKzBO+JKghs3AI5Nm6B6hdQ IWy0ZqQKz2UrwUHVXwbNpEO8y+PwOZl3crrQbsVrteMyhGdQ9ReFE9kYBg4uc7En4w9ESV/D2A0+ FLHChnpwDgTDwhv3rZIHmnxNUAeWbhJ98cZ9cxnKUnnGEPUh3Y3La+IlvNGwtEKi5sOSEq+Jc5kI b5Td7Zq4B2+EohPxXzNlKE6dyzzN4/ALnxO3CHhogzETm+O+uaxVIuJDKLrflyy8J9QHdHFhB7P6 BKZGSBcI5M+Qqts/2B3ghY4YcrG2AhRRvAQEg0HlGacE6iGDhItjZQm/jUi871joAfYDbV7A+Z0J IIhEa8TB70UZ0e4QEtCOy8JLJtXoFprH4Q9ulyl2t4NU4QkGg6ovvMfzg9tkuHBZAcRhvW3lsN5X 0PI2gYKWt4lOymJbXWi3FQ6cQsrfFBnlOXO+pLXmoIlYSi8GPFjSln9LqlaqFtiepwycYwSkqKgc mL6MaGc7EjZq2CgGVVc42FDBKPyYuBc54ImB474HPP0hEnNx8Q44l5VKjYnQiD4EnGBzhK3i7CSm 4nShXYz2sbtFch62iPK9/O58QBfXQRizI4KdQGHh97c5KIyc9FGmQudCUopbZttDSKgYc7LJQwPD iTE7jYLvu7A5LB0D2iQDBFWJ3BBc5SoT8mbpTnFvRSYxAovS3W0FbDw9BOgW6TbdrnAzcpnrKHmW Vkgcec2HJd0EBQ2YKb4mWmCQEIhNJAxxr5mwoLHRDcIbXCaK/dc8HDQkXDC6aW9Q9YLoRHwB2jUh mA3xUW1AHM5lg0nBoUXqqzgzyF1MKHZLb/D4IXjFU4L7AzNRRhaPiEBB0pBErKU99ctIgkAP/36V Jhi9mJjiEqvUuSw0z8zLLsB8EA9fBSHMYsZJ3RxxmbcqIPVy5KpGUQEbqh8FE1eG1LksQTAOkEib kqlFL4uRALmaPIllgLMVCKhn3nwAry0J6ph88Jo+jIFf9fm9XR37GVDsD2wUW1mfhyPierjQMsAX jpDrPIVucdiVT39Rp02rw2Us+vDJ1BwBRGKAABNLKocYGsGYyMoA57JBwtTpC4KN8Ol0j6CHnbjC Zd/BpFTCQ6PTcsUyHMxdEOEyBmyyaUGZyGaYnCTFpbMDJmi79HVA5LKSq3KVBNJ04XEfMSaaErEQ wQMEls+LdlxmEuBY7NKg6n8Bc8g6lnTfoOq+4JYkjZIoOiLY/aK0dMeAeN9clomw4oPAl7yeVmwx PAovl3kGCG8/rRfaxUlSqw2LEbnz5Q5wLtuoAm4fiRr3p1MgkJGK6nYuq0WDql9iJIwwwu4Avyi6 20Mi1zVqQUVJNCCQHSTvNqbtXJavBlVvF6TItpgo2ILKbZ7rDnCCBoc9eoC5LPENqp53o0l3bDBI gDEfXcx5NRwdics2rO/oRgmxRaUK/8bqIdEybC/axUxL+DnEVKPLJNZtjLkGVReViPiwcafYzWVe m9eMTpMQCyiiYzusmpOk2y9VuBliEy9SP5chOiLYaxZBuNW5xeKBhA4Dp3pIExwz6pLBY6bWkwCX hTwZUNhAMEqKR9sd37rq8zuiXQtmBDoXyw7Qw2cPpA1fY5Okd0CmTzGvVyvlWhhG5E1LHBBHLDaR VVW0v7Gur1dDJcS3kBGJh7hA9YLEER2D1yqXiaIH2O3Euo0zh7hwOiLYOZ5oQX1IvmOBTpvJZXPM fb1hYqtFmMTmutBu6xS0vC3SjhabAuNIbJkv1W0X93tbjv/7xi25aQm/T0rG/zKbavhnRSfFP/Kn FdnjiXDZ5LClIe2OGLDTzD+9v4GfggeDGna2SYUFWS5dG1PvmCUoSLQzTyPaQSgnyaYQ4uLnjSa9 Q0bI37RCSSpwk5J0QxNOl8sqIFKSroccjOSKgjvsPODL0XYBkTvAdmjS3WJOpCQdICD3LXk8Dt9V P9BuOy3hx2UilcnbPFyC2Dru9zYClcnbuC/VbZKClrfBBOzD916vFJR8sEirIDD9NFRgP9d6MSCm cqP8PBJQempBVHrCxt0QNLI8Oi674B8XN4l1G8O8BelODtzgy5Mr9kGYIAWePrMSsYAU0npyM6n0 rT91bWMqAstlZX+03bMIUuDdiWdH0Oog7KT1rCIDLneArW35Dj2Vo+0KDkEKxD/x7Go2Q2I8ViPk L16gU/fs2+AHVAgImzFgTuroW0HtH0lADsmIgx+X2Z0R7RCiB9j/pS82NnTxtg4j1m3f6pTYWnLL 284BTGJzuNBu4xzAxfaQhImtRXIe3WdsHOK/dGBfHBTtBwsuiw818jTcXAX2DxwRDLgx+JbnsrRH JJ4SGX3/UHjj3y0qj448jWin6iGorN3TwjHwIgdIMzTVsKAgOdFIx6Dq6CkDEV3siHasyKDqh0sH dhD1gXTlaUQ7LvO0WFWnYnY0J5O1k4IaQ/N+koJZLiAW8H6SNlK1pU7R7fvpfFxOxbdmxdKE3k9H QCygilGv9v106Duu1HksfT+dHIctrAD7fjqwjccvGPN+Ojgq1snp2n0/nTSe5zpFy/ccq+qXyra/ OcfnHFfZ9pzjt22rvtu2z1E0TV+WY8yCX/J32928bfuOA8g3qw1AaaqYllcxiwDgu227bn23bX+3 bdMsGY9VqI93VF1Q2/ecSsEz6rvnnI7lO4C7btnyvPpUd4p116w7nmE/IDXbdCqFf6o7Ncv5p7pT rQCfDc93HKD+VHdqQI73XM5RdUFMy/MqVn2uF+t/d2pFyzELtu8bRvW+iuf8rle3Pau+nF6hYviX 06s5DhDPMurDbZgV0y+6zuk69eE2bL/qlJ8/3L5jFdzCP9zOY/zDbfsOWfkdB6BrW55Tny0AlnMa rlMxHlPZ9WcLqONcbgGA4/Ft2zH8swXMKJiOU3QMp2n4w2/VXb+8vKp/AC0x0mRAHcRIU8U5XK8a KgZpX+fzIOKclr9XyjXglWrl9fdK3Tb8ymVUHM9qqmZjPPatVrUqjmfU53qxbJnV6hU9QdUU7Y5V dx3jdxwgvue5TrloeEbZsgtHsGj4jlnwPMMfqi4AwU/2jIDvZDiagHi25XlVwRKH5TnV5JxOSRmv aVmrae1UyRIA6hYez7acz7FLHADuTNLVHWvmWICs6R+mO5NU+yoapmWL1tG0mvd5jQE1kNVyWobv HKfrFaE1Uji+U7u+V3bi8ZDdp1IrH5KeHBdwLJoL1QoWFx0eU4vvR1NExaR2lmR5w5cB8GzjMus1 BCfV/K6J38t4zakF5pjT81Q8x50Un4hCAmr1/XQ0hOquUzFHtuR3qopz+GbJF4TWwOUb/kxSOn49 AFY4AKJonmYvfe9m/8oSgD+apTh68jzJ8RvNsjVggAAB+Sq2oOLUHas7cUqePQArPKbrmcKU+omJ BeU9sTNq/U1zLRA2fi7EERkgYp2UQhJMWERBQyA9jSPrkiKajEqzeO9mIdE7wknSUZVn1TnRA+wd wYL9L8S9WRoRLksNXCup5rbWQDXQfgcYbi0cCaxsbbFO6rrPuIEfyo8d0QeXuq42IWFywb54pbiQ yw5gqvAFNm6B/hsgLrTb+pfqttGGXmzoLCe20sJcbJ6qSGyr+70N86W6BGKg2ygqk7e54txtEcRA t3EZ5gAuts9hPQvJLfxgAOT5gacz+ahCxf5cAbb8diJc0thaX8DYubX/MhdYvMT1QEL1hThJ+iLO gL3NONr+huaj4zJ0RVE6iiwR8K1bJL0lCr399Z7ot0k6Gk6dG2ZhoIR2JA2UbQ+dzVJshpLmtlKO oF+IQZpRLhtpYm/vMjml52hnsVHCdLFxmaWg5W04HjpQvj/QRUy6cUeTD2uhrZRARjAgZT60/Ewa Lv6lkrDf83I4qQenEM5GPcJvsKBt+2ABPjqBhF0XDrgKZOK3ZqXaBJwgZ8TuiaHGb5KU4vcGcTl1 LjNwFKfeog+fzol5b5eQSG6PtKfbQxvTdsbC4ehECXEjzt12znJC0oLSkKP6NpGLB+aKuA4gi6es 9ORzWVoAMX3KhcUBN58JLOI1FptInAG7qfy0fTO5LQxFYbwDzmUHtBW7FxD5vluYzNsxNeHtLkjA 7Sikuz0iphrdnFH/dnlJik3DgNw3S3OqbnkVYCji0p3dJ2UZSDRahc6BdVwPtkJ43wdEh7vzyEBn rxqd5sVlmYJRVJDoVpMJkXhNn9gFfD2zvGl1VhXbdz4wyQhznp240sKcXBGWReUqTTBLh1zYrfhg 6dAujiWAOgUGWRINQI6bbol8sg0GCgQQxWnGkgMcq8EJl7XwjhzT8QIKDQxuAW5ulmJL8UssQYDI ZOjJ7zTyNCxQGnIKA3Xxt0juNHw8UJ13dKQLGJML3JDLKurL9Fd6AHu1/jj7gXY46tHVLdgINuIy 2AgUIqAGsF9BG2RHrQ9hh5UCdlh1Q8w0gGCs6A6X0Z0XpTt0RyC0rt5Lw+GMxMMDISkxiodMcnbb mJffui/KiEoSnG+60H+brm+6DIu2ROihSioJfdou4RlU/bO/Nmi4X+P3mio8+0gVnl0Plw68DeUB 1zA2BJuDfsVKL9XAmpCYEvPmvEPzpvBGuoA5JJe9/8MZSmPDhDccni8nWDulcHzNEWO9PMSMpkH6 DK8ZwhtkPnLha1bMeXQralcAb2RCbQlGIM9YYnZUTCwSWR9qciCQn5P39nF7B7hJBF/kDEcgP0dC cjvLHZESnLJAID+mn+6i5A5wUsJDEkYbgdywvsMwcQciF6eAQrRGzMx1FVBd19Snrm7PwYgHpaC2 8VGBGQH5Kd46x0hm4E5DFiOgidjrG/e6ti9gxvt4IukikvKJjupCLvvcUetVgp6IfCicZAqpIlNI /d+66jjqxVFviPrfuuorjsJRXHabbpPrcfgrobWGbtOLgkTLAD54sMPKgx1WHuyw6p/Q5zOxRfXn dy68c+Fx58LjXn88ocwT8oSKuCDuPS6Ie1wQd0RcEPeX5qXphAz54yTpK4czTpK+wsSTpK8mOK5s nAcS5hoGhDJSXhTYWQgpL88ohBUfUl4DRiGkgK6zEC5GU0j9ElYoYX0cDalfAqGcJBIf0sjgYIPk MDR/z/+qKJAc7d5Xhb+qznVhNzSA3e4dwN72RJ6oLbW2J1qI2lJ7eyLUkxmJllXvX6ORKvxBY9Cw BHckVXiDBu247Je4jMu4jPKlui2SeDXS0IMmZUohQ0M4J1Sdh5kRDPjJgC0PozspT8Nk4mvQRfwT YWn5uLgBV/BbRSERQhQKcdT7rSuR3RFCa+hDMFYegnEZwODnjQO/6lwGG70obBTCRqDQwK+6gV/Z Iltki170YxiI1vWDHVafLlF/6s+LcpkntGlShV+5FXdThQuPPd0LcZL0w6XbNgxIReQ8kDDx8EDC sGJXvAcScllYsbcNAxKLwM5CSHmdhTCMUTzlUPEh5UUZVDzEPgshTvGQnEVAuKy+5CwC0uWkz2WT nPQJMJz0sz8pWEg+juZcZpJIWBKW5FT6p+9L/9QKqT+mCql/ELNNFxp+lO3b1hO1JUO7ELWfUes9 UduW8vizrKLbBvAGl5HdqX7EHgGlc9noq8AiWyJ1SWMQR/vvyBv3mFtfQEUkIvGwbrGJLFAfOQXv ScdlOOrNuYygFFL/6j8hEsFY9dv03qY3vE2vRzBWneBx+Ottuk0v+hcDv1oM/Ao2elFQAgTiDGAf wkYv+vl8Pp/QGsIOq/5hhxXssLJFF4LJu/A4TIypwh/Ab1AJIBKJL3GSdC9xkvQucZL0xEnS18QK x/2leWneTkhhguN+MMFxr9gVzgPJNpALj7kssWFAKofSAwk3DEglrNhgGKN4SEh5IcSQ8qIgGIWQ 8lJwWc7m7KRgUpDYWsSas3DSv1kERMIyhdT/iQviLmF9HIXkXuORcJmEFX7fP5/P6UK7/6reQfw4 fIXKgXPzVb2uaQD7j7I9Uf2d2Ho7aD5LkKkvHkyBQD1ksKa7h0HV55iLdlxGWhADh4hgZaCSz2Ux IWPiqhjG/FQwiM3hDqDefM2QN8v0NWG8AbEVsPH9/68epQljfM3N6ELq3jtg+pkgvLAJkhdzPyJK YP2vOfEGRvf2yAzwP2rMb3Pc9yhGwggSc4Cwefu5eAewSLzvlIniDQRSQKB2e2i7A5JILP0Xp0Ag QZU7EIlEgtn2EAjkP1jcwSghCixIkY1AhhjP3Oi+U+zmMk2CcCCcJF3ljkKu5u0gLJfFDNvCFOh0 ELZDiQksiAKqq3exAg/To3S3FjUHI52PO8CWK4JVeTMKZITwx/Z/CspNxFaALc+pCZe0IdYX0PDY Tn/tE/Z7DIiW57KBC076jRD81hWOelEuD6l/5WAh9a94rbpC6l9FOEqUCN2ml+btOHpEMBCMVf8I xqqXHocfCr0nquCyywD2IBAIBCrEA1gc+NXArzqX+YFfddgI5LGj1nfwYzt21Po1E2GHlS2yRbbo RT8hLlsV6Kj1vbGCnjzuEY/HM+ikCv9deOzC4w668Prj4TKFQKijOy/deenOi9Kd12CInCR97SY4 7qAJjjuXLUxw3F+atxNCJMptw8gqti160a4Sch5IaKi84VZBbBiQFg0rNpdVCBtGpecCkJBDeXW3 6UU7CuwshDEKGwK58LhTXhRExUM4w8cohIWKh1CyGMXnj5HLRAO/6pOChOjlshZO4rLLhgExtAjI pGCC1+qgRUCydyFCu0nOIiDdBmec7Ew0hdSfCFE4mktw9KV5JSxIXlFjpC9hSeqLhPWeKJfF0Lzd JHitdgtRSP3/Nl1ox2W/hQ+qfpuu2zzETG+E0Hoc/uC8PA6fsKEehx8zXWi3+a+Ky9yDBu1ewu15 HL5tujqE6lHOAfXDPozx6OoWqHJgib8MYK9y4E0h5EbKIER5rYd2XObCXAazDOD6o1CCb111LmtL nbfJDCAYq96W3hOFjV60aw2fJu4fG9qeyJDwmOC4tyUDYRQGIglTX98tqKoyot3nPZ531Y9K90A9 KoSNVjAfSEhpG4WwY3jyl4dk0NOsq07aIod/SMQFcT9IEOICBtsdBSIUC0yh6pOGv3RJQy4DTyPa mZE87iWeGzjZEG5etBtJIyqGII6IAM6t2FnyGiDbTqT+kJWD/esoo9Z/ijRV+I8gd1i+YRN6T/RQ ILYOl8s8B5rFMDhgkF0MoMYBkeVCfdi1WBD8O4D953EtCCdJH1kocOKIkb4kHFAVncfhLz4DOMGO Wu99HBTYXx/sWVCq/YGEoUAolfglBYH6T8vHRRCdCqR2pWytp4bBk66Mh4fsHhHYuQzkiMBuEsxZ zbhka10lSvGXEXUTUeIrJD4tAAlDGo/CSZ/LOkcDdjz0OPzPogF7bDHRdKtGQThJ+ve8oMcsJJGC xHPZh1GJrNfDoBCeFzOinQKmvp612mBclhapztLB+ZmomFoHz3cJ6I43QUj99mQAe0U5gh3hD9+Y m0a0+xA52G+RN2vQ7mSiLyXEt45g57LRe4xgxyMGVe8f/N9ffO//E3p36+UhSkLwJPlc5kEQXHCZ B3bgSdMI6YICXCvvACeQ3ztJOpe1vJOkg14GAsfuV/wWnqfwvJOk+8S3SHSJ0+bgRpwCCkEgUu8W rDcf+65MGbI0V8NWSEFxlydJSTWwJrjMM1DhTdCFMgSxUQdnHd3rYmvNiHoKBh9JMlYSashAgIvb FvOn2P2KA9iT/gNWgCKKQZwBO2nD+o7chI9GtAtNOOn7hNTPZV/p9R47gL0naBjCRWPU+vlFyKkm FALHQdzd+oWgg0ELKaxdK3sJ/A/SdeDWoyEyEKaLUOjibV5XIcBasxIcXp9B1b0xVXhFRAP22OaB hLgKJ/04dZ1WyadEOxAzoh3IsF+/wIxot/hKr1cxiscLdgil1w4K21fb85UR7SAV1NhhnMfhexGU y2xu9byicqK752FojnaIimGVgJIR7Qa+0us/2FkIuSwiGdGuf0LqH3mSjjEmxBHs34gbNAMZL7lC tSZxQG2kwNdbVULmYERzzwmVclFBLaLOkBhcFuK8pFDsDrCxlSNRyQvT+X7rouLuUwRlisAoOmll c9BE5ph9AQ1eYRMpMK1ckYwoew8yEpQBjEhHrQcPZqrwIOEk6WAJ0U/FbQgrBAmTy2Unh6MQfoST pJMMVNzHVw72z6V13YTZsavoc3I3osi6fE8a0Q4B6qQR7XomYQg/0ohyCp/eiJQSp9dynfmTA2OB C+wFFxsOyKV/8n0AHBjRLnRTpgHy1Wi/GIJGtKtBoweNaJcgodCug0YUBI1oB64b9oNSJYT9E1Eg LInAfgKBvMCIdl2jGmjlQqyTsswB0hsXNPmoPiybxFc5hytJfJVbLauUJlWwvlnlNCKQxF8IjGi3 EBeJX7hNkk5wENAu9Gz8ZkQ7cwJJeS4DNyPa+cci5euLxygLKe9tRrT7OhbKTxSbEe1CDkTiPecF e6wAJ/1uFFK/wvsmb8lb35Li8ZZ8JmU1CiE4QcHOZRDPgPoX62MtwN0DTZTomcOSTgKB+mQEO5ed MFeqzRmelWhZSEa0WyAYq95JRrTrYIdVl4xop4gLECY47uCH6D1/nYXwQ1ksz9udEa01I2pq+LVz 1Q8TBktCF29Thelig5hsYcN8qcGm2ygHcLGBJlvYWBfabZ8DuNhEjCOxGT4awhzxaF6vVDMA8vyL pzovuywOuDEgWr5GpSk/SKR+yuUgLOJXlkdHnhCJU2VlFMJfXrrDxRa5zH6kCi5bQZeTKiohAu6D wti8LmaTIgXaAZZ8jZK0DRmVCAHtDrD5VnPZ9mGoYWfjLB9j+UrPeNwnsg2orshGqS9g4r+n/wq0 p+85WN/3vBYB4XCWgsteFIMXWEU4sQpqJ14cSkODFdRaGh2EDS+WgYbG4RAj+UBH+fnJjb/E82JA hCY3hOrLr3oKe1b9/qiuCKVPUh6CyKRQCS7jMi67nJTF1pjlxBYx4BKEhVHpIGh2Q8xlo9NIYUtD 28PigFyGm8CUnxj8xec0OkcwXOt91ysjl4Gfy0rLKXZzGV4YJanr8KwiHBBzUsPvmV8uI8jhGJvo XC9FbOqSzgWxTIeZJQYsbKguVBcT9qMlCPthFNUVAUHfJ9JO3prL/oBGTr1c5pK8BpeB3s3LZVsI 0uuBB5dd8H/fm+ZLdVsmdPG2j6CA2DgLc7HBViSCc1korx44iU/AWJVpATX5NGJBMWBFMUn5yMvz +girtOoKFT35oPELgPUWYrQmvKBjECAAvfL44HsOh9TGxKBYJAg2eUUcYsiGu92o9VxWAM+pq5hd JjcFx1ThYZ+WUSrwCKQjBQdCevNl0KAdw/JxMQYS8w4Wk8rWymV5fPBlbHC6XBYSIQLubdNeShk7 COtiNqk00m0vxYhUUPv7p64qocGIdGfLE9m4jTHygmpXhKIg4ELaALuAtqr0eoQ70mkMZlQ6eMFJ vyFSIWxUU0Lum8vQAs9rw37E4iPyLPG5jMtsSeJzWUFB4kOVydva0sfbzNUpsWUW5mJrDDYdqaDl bQcugzkyotB85PSzvHS6mRpDKPGdyW/xAS6kMyUOeL9hpa84y/OrYrFyWV9p4JXL4g+XcRmXsRYp f47QUB5zGYWNubgM8Sogh/+5xU/1UFasISFQSKuKUzhddCScbudjTmonVQSWwdYGhtu57PNYXjjG OvKFw5EBtZU+6Z9Vd237Am4gZBN5BTCGEJajLik3Ey4pl10ehot/tMIahMEE3vOcB4VgZbyh6SbA FFv+u/yibOHjQSVcxnFRGhFPyk0uyPF97AdtL9OHhaxA6nq8LztiC5UGymW1COUyuWXjYKQTjJJ0 FPrML0pbBholRuluvZTZnhHJb9UOSyGt9zZK0gokByOWjgpqOz42vj9mtieGgDmpqoOUpFwWIUlJ el40JEbJgty3wVWXvgCakFOBA31JURfFgJYBkCHMO6/9NP7x/rJRXZFBaDT5mAJBnvlgMNhHLjvn F91mc0EvDvnnMjzGhVwGfhHn8ImcQBgdcbUnuI1wGVzyPILLOKi4f5MLdi4r2CzFdoM+AmlrQO5a nIAeHGnIZRzOUrQy5KndBHKTO3lUPhEuiz+H0tX5z9wMMRSDbxAIl8plctwyIhwLg8sikYS3dUIX b7sXqW6ruNBusxzAxWaxYd7mIBwUGPd7m/qlui3ypToSDB3tH8BKq24pTS6p66I6D7GgGPB1uFme y1rMKNPTkMfzmhXo9D0jC+wzop2tMKW+5zID2oB0AwZEtXIZWsIt9Su9RSMKmlywtwqTB+Wy7hs8 CMtrpBQjfbVMFf6VSsTvkP/7zjki2GVW9TPr4vJrwqZgCot4WSNpR6VVIDWxa8gYwVpGpFBgB2iC cJL0hihwAR8EjEpHnCMuM6VOcIti15BBsA0rdvN5DXa701B0S+oILHT4RG6DK6+RXAASNhgbh1i6 QmCvI6N24SCgHYLwGRKQDuGFJhKEG+M8tmtYPi5CMin2EwYeHHyzYgsiK5BaHKxMSpB4JhdFP1br feJ8rKk1akS4mUuoVJXVqagpoUI0IyICQYAEAPMSACAYHBSPCibT6Tq3BxQAA0M2JkxERjQuIiwU hkNhaBwQCUM5jMNAisIwkIPKKcmMGACYICPAYzFegc/ivksoCNoXBpMI7ZUW0HlVjailp8TC6trb z+CUs+1G6x8oyhdADciKrN8gzwwB8W/VaYjwFJzbUIGXSVNBVTT5U7noVzE/xIOiWLKyaYo7R4/C gdGqwB50v9cwDyHMBwGUhoEJSSyT9wP24nI0uQ6oMOQAliY1Ug9JW9ljrpi16yIEEi1reTJ8dKk0 MuxHKBx8uiLEM4OLm72e+zkKRQ97sZS96duWWSKYL1ypIQDijfAFerVTteSaDu3a1lkBmWRWUYJV qLnbX7pIXLNZEE1PrAvt9OYRfS9MQVoje1mzqsbr14fp1rd6mo1a1LSdQ192NOQZ5RnKHyWa47y7 jQIsRQ3kgY/MmmSHOeN6Y/4qC0D4IVWAif6rwb+UoB1pEw56+I7KWKH9XgGIJ0srX16rAlLaAvgo MbJqG83EizJJJS1bP0i7IePAiMzRBFkncuP9l3mjZmKZtYGBEslwkQbUbRBof9K7XPgC0M4z2jBa vihuwFPl93XBinmhwomluY7UrfJ2BcqstjCUDTH5U/n0A6stEBfABuzK42EeG7xKFMovtCNuDFdA uYmq7na6yjhKINcuMpP9lNXWcdaEOJUgn9lFxEUZLYA+jDAhj3ZfqSm8mEQdDFM55lmVNNzftQg0 rfsenJEzczcG7hmlLPrPGSNJGvT/leRL7VQFWCqH35RSVjoqFqvb88QKl6WOA9lVFVmx2Fv1Haww jqspPlXhIRUbuMaiTxnBQuzEUlYacaC3cPC7a8PLQVhsTSimGvplIkxQwPLEecjR303CC2oF6rmt kAr3qoE5e1GOK5a4GdEIeBlvfvDwcdahKvoq8zZtE0sKR6IUxj0Jg6LAbp7hoAYCito33HcCXHqW nAOCJ494S5UYCz6RJZ7F5cR/B+tHSRf4HdMx0HEpAIxnRAShJXenTWG902w03fpFwAy8MgCDaBQE hQbqQb9MfTHC8/gy2x+DKTq79KQRPufnqvsJdGnXF9JgUqKJI6f3naTh4n3iNdH7vaTGehLKNQ50 pJ9Pzd63qjbhMNyBw2RQPCuUucrrCYcUiuah516Ddtnzq9+s2Lty+se2Ck47kqgRvFzqiqYUnMSq sWpMs4nTXKvMwWbHUX2qP/aJ92F03zGzwp3Bya8uR8IUSf9yBc27SX0+DuQyHWqsvdZw9OGoU91w y/33VG0y0Ry4omEAZmyyKyDqEuWeoYXmJZycAkvB8h+/6pHT+rBAZxrFSetgU7RGCcZi6tiiL3x4 ye+EwSVjqTrGI3qtvzVHsLnf+AFWGa3OIx12x4UbYaq2NmcToL62Gq5fzcFi+4V6piunUbqcJWOD tuOK9RMLenEmd22JCKrBzD3xdZXCF6aDESzJO/tCu9RJtDEMgvcyZy+vIqhDcqQEnE+4qPseW5m4 i2IioEDEkDOzIUv/y2Sfm9ueGS6GXTfD9A2sfCc0qGPhT51gQZx8s1i4y/VQ6UJeiSvGwj/BH9WR yKZm0cQmq3LWN2JHxjuG7+VoldAI2kHlELj7NbqrcXPt2J/7QDKhhBGPeBGPm1W8CLpo5Xz/AS38 kL56lYDDFO6ny6y0mnC9CUgHXIojQafcPJCu3ZfK/bvorvzG4NgNOimDbavbVut0PKzh3DJrJXId P/GyQ8f2p3jw/uJq7vIB1pwNtOZi2DuWQhPIKEgNw20+E9BHT9ImCrWu1XPl/fLfnIVfPf0BM0Eb SoLs+Lq4aSe7nmoc3KZ4wMLgp6zYB8DMORJXK5H+RCfarBtR0a7SG4HMYL1ZWQyw5ufoJGTNIaD7 erLLYNrJx7KQYTrolIrrpv2fO4JG+xAAegQ76JPxNQnfkTIJgqjnCVYNqHbouHi7c06bxEsaxQ1x HZMIHVru6xzGwU7q96+XYmhwoo1I5A4WRGjgmqKyLMw6K5dpXAJ9wjS5SSiJ3xcX5DDuTSki9v2X yA69U3P6Pk8tVXe6tzdumkOYd/9bXeIyZqTw5GxxNXtXwoa0+RDWd5C2W3a2uBlK8aYxLGWbIH+T Ck5WvE8ft+Q2M/U+GXvS6Sh0/+RcA+i6ggpRiEctejxbgwftftBZ8Hmu5Dju2MI9aVuhSZdoEWas mmOZ4cIC/3+YCjFW/5jy1f9odMetLEJsoeIm3CWXkWCQ4ReJwRuJ+s4wrcIbHgwxrBdiNkVo+imt qiq7W12+wRh63p6VAe+PsG5FsxMjtWE50WwghdFm+aHiAhofUlaktgRO0VNqaUNozDJ36UBvr1mJ PYw3pQR/wnxE5iSaoVFFJuDFyaDxEIsWCAj8dgIhm+kl1n9AdGjvMb0RFEyqHdNeb/+ZbOv2phRZ E09/UgTq1on82AJBtYX6y7awD6udH97+5TM5FyLKX3cjAW9f+hi679TBzV6Pu6f2h1IztATz5PZY 4a91XWRTj9WtEunTT8oPYIPlQ8seIYnwgytxvsnICLwlhJGMNKssH/3RTSBI7e+5xN0x2LTY7OhI AJG7A9eRlEvCVpKQDfBGrJ8rJY6gubvKbmAN8CYVV48p2RDIbrUP76QUV3LH7bN7Jt39Bu9DHomw +0GKS1yaIOGd527YXomWPLSTHxXT1vaNP+CYj0IJ/9NSdJ+rGdun7XM3TeqsKnrwBCPWJnZcs5kP BCVq2yuf4yRKF+Df15IuZbXsU7mQrV9YVpf3ZKhcesG+NQWucW2zREHHG12quCLURtquLQAh3CZe vyLiyuL2ua5FX3F7/9qexUGDzyjnw6mNZGYpfyY6ihjLs+P+LQUV51gAXaSF1ydq+zwQ3LZwbO8p f/DPTaX4pN34dGyTjxFS6uL2g6zQd8WYi+wBuDZr+0Ob2VV/WAup8PxjE4KPPAohbcCuZEZuEPqu Bj14FQifkTuJLSoO566MFZElIIv1mf4jLCsnUivUBnYUmjMO5X5Ip5KojMQ6NpZI9LAeS+BZtENo ++E4HVs0FaGgZyMo1uymtm4h5tjhYasw2np77LsF29xnpu3Ec7LgUanOEaMJ+RiI54kOhD0G5pv+ HOx6M9H+qLdZZIxwt3rALoZm00GoEVZMSCbbhYsVVSZDPEdfpxuyTiPzcizZjjFj3aoLq4csHCk5 GSfZ1p0Ho/YysvTlWtII/TnCsuNY1lHdbGbFUakuhHmSFUsTXQ2DUAhuZFfsD7PPBSU7zsWSx437 eVjWcKRlyL8TBo8mz/mMCa9td0WyMJm9wpSOLtBepdYGAYdaYndg/LOwefpwIST9iWKHHnFu0U/G WptyfWtmWT1NCP/ZuiB7v8gC9LCFQi4ZQkKnCTzogAGe9o6d0/Ba9tv592MHwz/HmMn+sLVFiuKQ USHLymB/lYYFIC/L8ss3oPpP/vu707YZEkITxnaZbkXUAFUcat9bo7pR93kOXK81ifXa4LfVYV2W TV+rhL7J5SgDZq/ghuzbHuhJdBsZK32y2pbhn3m/zYYhVUq+jX+W5CDb2d8udWzsEDD7dn+truXn WlLXB8eYGYIkgLno61pUZ2RBwwYVKw3uv3rafqjMk5+IK3E6GGozNuy/FCLPwGnUN3PbZTvHJnyd MxThPWgbFosybZdLG1Y55lZzU9XmvjZxPavJ9E/HdlXtxbVhSWnPqs2UqxT8IT1hLGyTKDDkF6So RHLXnfmg75UpbsLYrHSuSY1NooRgXwNkIOpegnfb0raUUv+V8cW5/kTcXIRCPHSgPggd3JtkLQfp skwmBhboAOzVdn/YxAFgMykl8D+hGwpDJo6IM6kyf0q424e5h8T8ka+PMCo7JipHghRE+sFXpHsR KvGiawulbbcQ2HiJLb02rWhCivgxJBPWi/HL1SRUQHc1bAlPk4b/9qc9bY4bRkyfpCgGL616yWgO ulgG7TbSkSZbM63IltItLLQNfhtsKzV2jNVf1GhhcQCmYzMffmpDBp5ca+K1Y1kwwfXMPUt9WF6W BoOWGewhPQsn0Nsun2fvR7nOPctZGh15rtddJRFfm+yX07pnSXi+LR7S8nS4slZeRdXrIVLWlJvA Z8VfDtoRneCFaNN8UAMQ//57c/sSJx3dwcAcgqgcvLWE/RN0I4hUTPrcFAvadeWPBQ7Haq+zpcMm b+xE8baeyRCEkIqYbWMTY0KaBRk9sDUGy2F9nHwy3/5CkjjkI6rDbbjvICiCK5WtrWZo/ELko8jE uKP02k/HHCuPe8GQbmmR4hndekivE3NSXdwhkveqdklMG+TX4zpM8Oa97vBWKa0FS544MUgIQnRx om/le5SzhqfaQie3uYAT3bsOfRcxafEd7XuiNpDJf6m9/0mSaxlAxocR7WTJv87CKSm9e997Xakv 7NbHNo+mgdQZf4Fg64poXxHgQtG+Ba+XN1Zu7F/kuom3QiaFGlSo1N492juVpWEJscIKnquSjTvD bBg2cUoQM4m0F8ysbtRVkRLAuSq04PA40gVCW4xBNJxI6KtsRFy2IIE2t8LkhvTqjNPVI1DTP86A nUUQO102T3Up/pz6/VMK3ci4RIdFL0PsXTIg8WO5Otii9pl1ol6umOC7muceFnVAZXj0HTVK9Bye GFf7rgl/xQ8XCRPiWhfeF40B5GCb9z4DCf/T1PxRfq5fwgHq6ZccgXuhrSTS0s+l1+c/XQvx/vWU TE8h83/6b70H+oOKzxA7oBapp2zxWFBk90mUlF4wabdxPyDAW2L5vZvk/9D8vz/sn7SsXfHao/9D LiuEXRAA1Isu49SOCcBhuPfxRn9jfI+85fwgEDznKanNlCvW4ebyilOu9ZRezbng5OYAT+0SIgCZ ncOw34KN0/cL4nAO3tDo0lUeJJhSMeYN6Bvaf7P0d3tZVgSu+KdyQjqFfMMOjVgFibZWpngMsKID iFs2jUY1fTsyPmNwlrghEtIv2tXPLQRhq9AZaBANJMA45ErMhkeNtCJ3L1XqWhfWLIqALnjqt9EW ThiOu8bO8rPMYNhnV/9VHk2bZqvLCibbRBgmIVaWeVwW8CF/ZTCHQQoLZWCFq/WGhcz1yrZJx0zy 3BJ6ZUZI3MqtB+4kM8f0oC2yW5JncbTNMRfScE86RfgE8dookuqcASrpPggnSYmJxsfb6F9d46xI UrRfAFbA33siJP2aV9xu546g4lR0JMLkpenTyRogDX7NN7ej9fI+xiGbaBFiinN3/YIzE4bL3Z8X PsLEzZknXBVRD6v4luIuv795ko1lpbiRCkzyPwlRYIz53/I/caeRu7Cd4u48Q5xrDklxl1QVkFdk PNzBwVfLCw/JuSlQQi+05y+2DWkUnRPweu2wwsdqNkeyF1ERzkNHFYU6MUUzDh3fZ59HoVQ5dBkY LOKXXoB1Xh1S5/RtsIB1Hu7nhfqQUQo6sRXrvOs+nhWvRAlb5yEtLjIUxBKyzjtBuimb7+w44qlz kaWmRRbC27lvegoI4x7rXO2W3Odo05tM4H6KGC4ZOXMRYjcAyCU7jxfCcBTGIWf6EDCLnkZHCot9 n5+RMRtgT7ghCDnhmmZYjfhHAF5ONKl+cF7Am+bGdLFX9BchMmoWQjcUOueX8ykIPcsh+0MujN4A Jot8iykznQQQ+g8oMudvfAg941iadrfirxMwTdO/sd0++lU/jjK2MF/zDBUB863U4+/IdKYgO034 VkaYJ3l5u4woDcxRHzZRjYweAnN1vCnxHQsoyWP3V2zNBSFbG495oUb7IVvbvuMUSpVTNJqtyNbe vfgkeGeAB0WF+RP9uBkgAlAldXd8UcO7rpyqedRFIm4FCiMuM0pcTU64dhhx9woER1g/Mj9xPdzF NRG3apZnnQvZ+M2ajrjnwoWDZpGII7f4m8UXAgRejPSi+9ayWb9Jjbi1w9KH+CDPElTyxqVwv7BW FrSPuDdK0kkOjn8zWbguarl4Juau+PgorSX5z6OZmMjIEVG9Iiomht53qEk3MRND0ndf5loRZo+f mZhhhbn21DGxpWVW6BrC3Wd1sq1uZxI8Jqbtz9JQGAG5lPDkK7y5XT3FVOd07WgGNP2RVeS9HYYw ByqmEgxW+kTG51qOqMt9LZbw+VANaD4SmVJKmFHFVh+JNJYSBl754JnGQhDvL1IpYTZ2uE4PFHND 1xJW8nydCpSwgk6W8d2vKG1HuIVl+l3XF+tr/OJSwhooh/vdyWzMH0NRDLuON+mxfvc0KQWYqQFa yxupwjHBnHbWzwmJhzUx2LU7eIIwv2kjyAnGsuax2f/MBKt9rK5cvEeypJlg7n2OoS8xZnSChX0J z+exZYIFRWGzP4mfmcwtJljuEMCozorONqYTjKnJLpOBIPwg0HCSZPfs60OergwtM7A30p1gLrt9 xKfgfU4woeMm7GG24qOtJEtmfi6Eoc7mvoS6UvsdGyG6SyGtYJhSfp4bxKwZumLG6xD8heInQQ2P E6nIzj35qrGuuuMKZk6HteK7uB/kspiA/sCELHu++q+czlVDd/OTlV36lBzMaQy6lvrrMCvv5Zey it5chd8hdUnMrl5Dx5SWNYMiHtprmffxMkg/lvkavaVcYp6gWXRLTmttWBcuLaHNmJ68YYje+bB/ 7RIg73Ok0TvYHyL24HzkoJPxoWf03ouTc0MDSjqYy6joLWdUuo9OJtSV9aeGEDkXL58Ai9h51MvP BCGcc+nA37pLOlDCdAYiumYxQcs9a3w8DJDSF/V0iR2SFZfbzGZEvq+9P5TbZOUhxFK+5npDZ/GG MhEWO2U5EmOcnsBWAzvaRhqshVapbBibqhSs+pZmPMzy/toPDRc5RU5jfEqnBOR+ELdF5v3svJ5D 97lhKTLcXrK4Vn+dNczgjMRK4Mi16Ufe6LQ/gv4wy2WUJ80FzBkYBsc+6bC8tUhOESlZJUCX0lpN Ft7e8T1QoGhPV0mm8Z3F3eLUNhx0yVcyhtHIwt02cs6zDW4C9bwfqo21gPRJRjGuigp3q1/OgpSU v/FrLzIasx+NFVbilCBEn2WNJ2IH6WQruWeLEt5e4Gg771F3yRqkHKW5Rqktjl8iNzt5g5vTDd2o R4IigGzsaQfCb8KXyMoeMhnZJRYYA3w+Tr+4Zfpbrl26WkHLSIhA88aKtphx1PZ6eTFW5TpKV/op vWzTifG1W/aFhOoFnN7zie0Qpv56barrqAtk9hRglNOEhm45UajZFbRKozfcNzTTxf1fRtekWB34 pa+MTShwLHolqjXuYqazBmEZk/cU0PsO2kXM3j+ktg7lB7576lX+p2TNW4Uqyc9tjPw296iRzhD5 MxS8DF3EInGQiG20sWKfGgyKNuHVsDQqWB5Luwvhu/oMLMkqqK1DR0Ck/aJrl1Oplgqsdjcf800g HDyIh5EpDj4OOVQco8gkAXSA2f7Dt8rM6UdR8kqItJsYGu4i2B1uhqXdOXYJv8XPw0zLW2PdAjig btG2HfwScn/LQEExp9uLrik5TeDFgB6SkkJDOiJc3dh5L/ndcIi1h4h1//21A3oO2K7LTx3GF7Zl zB1sTZ4JrdFrl8JktkgB1dmHMZec6psjVLxG4Hld3nTRvuoRXQOsoo5fyQM7CeAuQDKgZzMxCeLU 9feiVkJOvhghxqjifrdl+2RG5IWXNFCXYcU29NErNYEvVa1sd7ezlv/gbcL4te0640qilvND8YC6 HLRRhP2MB4G6ut5OLxB17T2pSgTqksiE0UrCAPijsO2u/KAs9UhsRFAX1rXMXDFQjO6ozph2wOV+ IxYys46tIRO3qTF2z4o0VFEGnDyxN4SbGHDFZxkNIH5WXGaJtgDRFzpiNlHx26XvSZMMoUEVYzmb /I7cO+JPIeRjxYjbiihdY8rDqZjVEGMHcHRbslHMFFWewgZOHOLowzTFsmV3dljfiLf+g8S443IW Uu1KvUqx8kzhY4/b3ZkhirMj1vMdOEl7dxH/NrK5BygLtJZ8wjuCvAuaxEFb6ikFkjMtmNgmQjsd HifG4pH/B4o0vN0M5ha3hMceIxeQYHZVBE3w6ipLSJ94gAKbsfaqKMc1jG5+VsBjIiV3YHwLPiA8 GwntlBKWBidFedfeHpWioGowndyiBI05y2PFevBGb21rz/0Ph1fgZ8FewHNTAA7aIGmCjc3v3RhC JAzAwSTVJ4E88vHxZQc0VHtlOUiuZIm1AqKL79QSmqGDZD5r0beC5CEz5Jl85l39PgVYaB3cIF+J dFF+NCWiWkNGySAFcUrB3zBdQH2etzKIOfaryx2FybEb/ftmaL3KvHvaUxfBl3KwS100yS6jH/B4 QoiwUXwcJLW6hFKX7I30+QPffl+7iBRnS13ZPC3rUjvaJfyUujwfZZ1SnVZPXVT8gilZ6mLZYQyT N1qOGcelLvfu4IgAs37q0rYkaLTUlc89VfbKcQz5WdWbdmiic+m93tmyRzNPZ9jntwPzZlnGvKy3 /xU2qNyCCY31ZoaM7YHtHu8zki+dt9Kz1NBugI3Kf72JSCDKLqgfNTCYCxGO+DDNU8PnOj9sH3av 2+u97TuFGtAtwNEHRcd4Lte5FlOknfLrHMHnRb60ouXtz2biV9IdlOsVdGVXnx+yf1NxN6j9uyjk qtsyqHo6ZFzeq2WuX6mDt/7OzQKRKt9fGywpvcSU0dSmRxeUQ0N8MFCUu5nCHxXHzW/4fXJfMfS6 emxkQRK4e4t1O5wOwU3Cbd7Ku+lZ5zpx9jlj79ilt69EZZWZQdg6WtTiXF0YI+rDeVzZ8aE1gXBU 8yd5szo3R40A/0+PCHjlLUbwEiediKMjn4w6+REx7JvFITx9aogOSTJ/gE5TByhSbWMMLhIlOKYK hXYNeRYitdMhJWGSx9lGYehqYa1Y++n0Euz1AarRECcKoUGWQJnsHBQpcs4Rg3kuC0jZmFU933Lj aE0gMhUeFk9qHsNPFR4iLt7owYHLP4tS5XJPEnUEDi1zDzvc+JZKJGusXHUIttdSGzH+gnZsTPV9 AOcawal4s9NTlCZnzzPLxcaVVIkHrNFuRQpfgpbYj/iqphLLDuMXTgmQoexO9F+NuGw3uaL6G1jV DK7UARd+/lJVn+8+YDZclKpczO+28Cu8Chfk83Ct6V6RoCPRgjIOFDAsP18qEWek1ZVXOC7uKTqz OZnAiAiVZe1LDKFLArpK52GuXAeMczul3TEgLp+YxBm0xAmMOviLUz2NPNbbfIaJHUI5SP5BLkaC sGFzThkeoJsIbV5Cy+i+1S+HjtfWXPVq+s5o030S3xWZP6Q8yC3lXH0ZlL/VY/Kg8/AC7Zn4pkVK chR8xbY93hPBOJTl2TAXztykjI6PAtyKsuVPxm5DDt8+pJjia8UQH1hbtjyvCxaepIgufjx4q+gd p14KmK2EfvjXe6XShPEBTRHBCmUZUodnqfX8rYGWGHTaueNoYxL/2JJAdB3O3RJKcGA2u8TSEoUQ FXYY7OQDgLYPLBhdOpu+Qu79/FbJe2ViyKl6fkL2E+WW0cwtXExjiKHC3Fq9UG5xVLTldsZZHMot LAgytxx/7ekE5VZ14vw1AWupWtUSIK/c2tIuX9tyoeK0MbdYS9VdrYT4xP92QEW5JToY5taEBsB0 FQ/llmL5zC10Va1YlHevVrbI1cbcal243jC31vrAlVsczj+vuST5CzZsxW8rJfC1KXmFIbhgRL+n ZLb5jEgrvg4Za4jHLPcxUq6tAZEAUtYX/Ts9vc1CzREHMS2Ivp1oEEF0Q+2vrdDgk9yCukg73yOb TmcB/XLALqiDujrQFsc8f8eQbNE9DiyNkfwytq/a2KWcewS23MC3wAKNWWdA2Qsjxjnoa0LT1Vk3 o1Um38Uyh9zddNhWrJk/gfZrU87ORj4ejZ5vGamdQFfVKGGX0lnwHAm0wiEf1UJjhw81eMlGEujD o/tepR6gz/oCPXElbuHqvhVghlJfvucEjanqAR4X6B3vYySIMbMvxSL8LIoghxWJ+K1XTPX1LEIY sDHDKVKIZJS1FDlo27kKLtuKaS9ZZ1CyYFWI7Blbhk5ge8ot0ohyDfTwrQxQOcf3EQbeIFq6862j jIhZUD7jLBvOz8wbETpe5vXEybYJkWIahzRig3MpnAYxMnbJyNySQg57RYx7nrI69GKH03uiLOhI /6shtglaUXyi8apGHKyvqisOtjStO2xl2UoV51PkqB7xTl75Z3slC3nbpCrBguiGR4lYGGzlQQXL zLbmq0dCSzLUdoi05YolQ3knWMBFNWaSEXSRhRITAHdNuYsTIwQxc6X2WL+PPJL2bTLvoOJiKe6q GCzwNmNZl14TzqhCoUakwM/wxhQXD/bHOxujPxyq2Y+MP8IDjFVsa4KXX0gwGwZhCRquYJa3dHIj /zFaZk5fIoe5DQSN24jRh/4V2ujIHg70lvLkv3tSTgyqO+k50FfoTRrQlWQIOuyjZIASB9p1N5n4 ktWSVY7VFkbuSBD0OdB8PGpVa8ACMis686OQ9gCgAAca5yJpfCmA3P+BpOCUjOdAh9M7BA3KM3/T gU5jQgrc16o50NO0N4A0UgxBz2PZTOyO/icyTCiV7M6W3cQzHjDDTdKJJyRacHajzc0lYLy7LcYx 9DLrIV0QjZx2Z0t9qRv//6MA1eJfoKfqmZsEXcKQ6mWQcXdvZjAoKFUvTM/9o1JcR6Bx4E0ODdrA e1wMPhFcJdutD4toMSDAVxDu6UZAzeukaTokTrtcApBCn/5DniOnmWTDr0IrrV65dR9PxuK8koD2 0BrpyaUKWE4nLFxETA8r7alc71Gu7nGXVy60/5YVhJjABzYeWXcW8GkuCCJ/5Ex5DZNbdsJ72Kwm 8gZfZJu3e1Z13XYmQg2I6rafokc71pg9XuOhLce2kwgSkZxPaDrdR5Def/xOlL6iFGxaB7IHilkG kX1XNjsLNOAP20NuAQDQclmMd7DXy9pMWyAeOEDK/ehqWX7/RDMA8TJ+BS7MqhbnqNIgxmgBnlML La1AqzDwx6BFMu5L89bkO9lwBXnIru5lRzhtIoM66RFq4Oqeta8M+sFk/3v+yKQIvbnnH6bUlciI PUNwLCUwklKe5Uu8V9SdwM60beNxypt7p3Qtg61XWrw0SeIIQalAkzweERrBIPRXom/kymWgc61L 9HmCMSJdCUZfCKhEzcVAmkFBKIkXo1IqK7zL8AgiIpc/MjpX6piSMgiZsR6hL7zYfo4KIlfDMtwH 3rHbCPfdHxl8aoj8QxkeEZLmGOnlWH1ihD/mjgL+dcKB+b+11TUrHxuRga1PgeoMyQ8FdV6pwB+J 08eHMtrb7SzJnqav6ue6D3WW7DIuXC69Znyj0MBRZwA85V4/SRVHe9EuiTr7W6FYXnUerVFKV4Fs D9J3E1TnAIMvvWjPi8921JnF3/DbJ+xrlgx1FtWGnc4Y6PDT7go9AaavIqAKO+8YKUDcAi4Y2Oj6 bChVZ6oGt69gl4M683meJ9X5x75nWEbB+II6o47jLha5cjLtq9D6/U0YFKvPZh5kEiX84HU4Oc71 7cOj6U9N29+3wjBHqXRG8Wwtge0v41NbVNvf0WZ7FmQvN1BvNfNGVkJNwAh59Js4Dstmyr8Jz0Fm bpkCXosS1uQq6JCSISSg1TTTQ0fHxrPwzavYcmgLsJuYtbwTNfmgUIu8RV+q7ws2UF+YS2cLTfHw yMWGJKa+H6Y9BfIlh0CMD8re7rfsM8dRXRIcmqdPABRz0FYcfBCaG/hqj4GZp1E/0e0BlR/ON0Cy 5sZP61FENKX8mZHXKIyFZsL8P8so+6oSggzNupKwxj99cIwegU9ELuwsCF91UgbPTCUnLC9oxINn ZdaQ+ICG5p7Y6AOqm7eXQbr5QO6FsKKc0Gw6LjPhLZfe5+XPnNLZ0uk2qV0qJ2zlvg+r+5+ZHYTm Hd+ih//MLjo0cwWwx2e+wIXmkdqULNZZhGhj4I0C3H9mIgrNCgFo/czTqxutoUqhmZ1YRwAh/sxD FpoVAlACDkD4jqG5hQAZ+pnjWGj2ly/nf+YFliu1QrMrUKs9/ZlHXyt1aCasp0UKEMrPnMWh+ZwE Gv3M57aEZltU5eIxpf3M+DE0W2iuwv3MCm+t1UNzaZFUC0PPf+Y4CM1+2wvg+5kVbIIn6ytDs67M caiUWuv6EXmdFJoXtalSzNQDka+f+YXQ3MmYUORvaNJOjYTmqtYM97GcvCGMzdDuGoJ8ZqJQBsqE 5vjYyQMMHENzqTaHGooet6iUF5p5O03ujuzHaOpjKFv30tSGxoQmE+vjHM91ty5M0IYS42T6YZle QXTbsaIXCfjiXEZuauiMHxIxiRhVVDvYx6qImmGqYXSpu1bkiu1YzjJyL97nnRnFF7XsYhvw/pla 3JFA3c+oSzeNBXqnLrMJKsuqh7QCqhRv1W8a115XENfCq3aKD+SNk2omTzQ9XXbitH+xBdMSdTWz gVkiXsGFuo8d55F1qU8oB/aiCd8vvOho6ftllZYD0gGCDhIa6JwaESZxyiRLQvyse81moK0r3hFQ sbwhaGUrqxvqCGHHlSY0zWydOh6Lhve32Qvye0N6rH64QNFSz31iVXhI6Vh23zRQqhGUQtGdFoO+ Ie7/QEJ7adDKhCK7KE4lm3dEpigOs/QTbMYjz8qpGEkIfu/XVYJ6s59UmzJyUc645M0tg8pOecwy VPdEdVXUa7ac+b/G6S7JRezsG0PxY43donakWVIwzf/G9hNpZlI16c5b7Q+nDvC4SsUmwjSTvBgG bIAeUuSFk1MaTwZpDqWZzjbN08aXw0iB9STipnkF//tKmilI1wnLNo12fMW6IckPQoggpvkDvHdr rvvjkvtbAU3zCvntxs8dXSQ8jtzY7g97gwTEtO+T10K/ielgTvTaDs0+K4dlvLKjzC+P1IphfT/C K0Cg1lDsZsqu/XOVfnHZbunS3VSWlnKMGFeWq2jhmzckoCbGOBQfN1uqZY+JsU4nwYRIHZEOLF0Q m3Ig8z2Wc47t9L3PAe5BrAE8AxeL18hl7Yh2Qlb4Cg9cPPlGtQzcSqUvjkgJ8xjCs/0FVfMjQPV8 mISQfddT+kfA6wLB64CluG54NDyqWQPj6Psrx+G5iVg1B3sIp9RHUJeCyXyE9UfuNrTIKyrDGOiE q7d6KRapI7tMp4v2qBTUmM/fi58umidYFzkb7Fc5uNzILU8M8elRKD3/HLWoPJtnvecayFypbpTN MV3eTu4wG9R3Jphhtlq5uVHg6SXsqo8R8mztI5Um+VO3lgNzLLL1u+HqbGUaLI7lby/yE86qTeuF EKrTK2ei6t6cq4fSDex4Z++eA7Zng5Gelm4bHQJSxqQ69V0JJoAR1itvbtEZ1LKacwM2cSZ6SqSu jLOu5MRzwIyVxkJBSS15TQlapjrxpiO35xEmMpcGOudgn3PWXQXofcAI/A3qMmtog7I37mfPd/FA OuOdYibd0g+hNrNa36ILww0Qhox0bSa/yZg69OE1vrMZeOBOTRHsFSsxOm7+U8EzQh7wjDA6aIXX x1N1ipitt+9e7iiiZ0u9MLtTxVaLvRZjSnzr5k15/HJ3TOJFGQ5R5kIQkoKABpCrIYma/0s22ZHv FWbisDX6+JsDKU29eYs9MQRvbndy3G4x2JMFrNaxmihinC8bWIoMKM2lY8TA6hcizm1cQjuQ6TVM CENyoZLS0vCEQeCnoYBTAtTCKUK4ZcDM4KhlWLLBLK1cs7tVMTQ3WM+qg2LHiclXtgpqMX6XjSW1 ag0mZ2BoOrWgUGhpko/jOFgI0YQ+jb4Ry5cWBPC/xL0+r2G4VMXoxDFuXiNeo/ST4y9mlbXZFrnf 2vcSnTkAXKHSAuxz/2iJ7r/EFeC9jEs9OS2mmurT0FJvwmAwviCE2JcUUzXb1LioclipuILnZ8qC 5yaF1JWCdAwftq2OnTzpNmM5UsYvu4uJZzImUbMZ3tNGsADrqsU1mw8qrrIg0WzPC1YGHRJs9wKr aAN05GK4uZPq9PUqo5eNT6fJOX6ASkn0g/WNwssyZYpvBhD/YGDFIwsQAmtjOJaiYuaZKaHNLfBj +iTH2/stNk4BEBTLITVXrIGLUsyXTwZy18WIot2fjx1MuekKAE3nMe8Q/tiUvhHbvGP6LLZAPhlb 3n0qcAjNwBeYZ7AC0ReyOV34aGk6nbmhuoUgyMxNCmZ9RDlZrjF1uii3xtWsknbjAxg7S+ohXZDY NBxQijJDvmfvwc7hn2PFuKlcEAgmhtGNtePorT4kLnZhlWBw2WwkMgplqrwCHejQ4JvnTez88QT/ dVBv8qRtZ7O7xaoHB5vicWACVtlalVzSOg4G+c2Q0a/jlcItgHequQbLBVZhktFRUrLwm6h48BLb JtR/e5ZL+3yNKzPzpXH8nXdtOeIZLQAyeOI4smoKZg4X3Dului4b/lGD14qYHwWUJk+uBDdiNiSV xD5t1TMi1mE8aZN4PhofgYhOwWsjVycghcu0pPOB6xL9wEzRan2siEW4RrRLQb3IKRLYgmCUsl7l hMgppsAZaMxtrK8dUvKx9RrBaU6Gv6pbZgkmk8MKpFlOvqK4/1dMI9wffSfNqyaIDcMv/lEOCnCD mpoaqVeUBMQM+vJFXas2zhqGHHR8m8UTtg4Jzhc+bgW5nZqPvrVdCodecVBGp76oLva3YfNy72vf 5GISVv0mlmlybFF6U0KfhhgIbHbNThkrELu+Bhxq/UO1zSDdzaZoS804dxfNkWps6wb0O0aaJbxs 62e7U95y+CPayedEHsBTv9K4EPhR+lAETMNA3cFU8VkuFsUj4n+eGeM1iSILqyV+2f9FaMcGbDUf car6eoqQ7xpxmiX3lgxV9WE624h7KxAjVq/NejheU4yYoMmGGahZtxrR2VQMd+3L9O3+8LwjjoIR 8uDwQTa+PmRIfTMJn9w3x5fP1k/0tN8+lwf3MCKRRKz9kMmJzq2RYqSIgJ49NEzALQkm0Q7ZpPjY EKcI4YpVIpkDCAAfkyplAN4/aAF+FjHwrfpWAxgBB88A9A/AFq3CSa14HXmE4Sa0Su7SO9MvJBQ5 XEzpRnLjB/EsPR2b75zIIKXCmjBi+/B2zrIcfnoRhSRvyzyA2t3YTu1bqkm2UND4FVbjbwktLD7f 2FQo3etG/JUuj8FalaxmSv+vofQRV6NvmT6rWYBI3nDx6oXHnSyz6qh5N3Wgqw1uEl3jJOXVaAXF N07QhAp2lvP1299HGT+zqPWF3ZvO1leQYpHzYfAZJA7jyZCKDT5HK7+2YnJDlYSBywg3cojtiwQY +kWoLm/Kz6Oc2KydMFxQygLqNJ4WTOi8pfsLowewYC/99SW0lHg0lRtPybJXkcpVgJLRTAJwTnSR 0Wm2niviZraKYUK8zXYFTP/4Q55ZZmOqn8JpyHtLzWIcu77pvO1ZnxIOGo9DzmVgeBZ0Jtdld6IJ kO1L3sRbla3fL3g7SoD/SIuaAJYhGgCLOjsrE0BgWEdi84L1hIa1ltWwzYTWg/Ws+qR5zho2dqOm Lr61I8atMDBjkdYi+UwgwQtWvNPEGNSuIlbOyqPaoH0ZJgRn41d2B6E+ZTgKc4ETkhW5H2WSiMcY AHTWmgdVJHMMVJroAh6AakxyuLqUDzySZUypeSrEoZWt4/cy21+fTZblsVf0n4CcJaHov50jqqAX I5Mgx6L1ZJxBCn2C0iGxYMi8dLVsSVhUZzmilhrktwoti3moYJ6+DOOywZXB2ByYL3VhC4xP2VLM NjV1GU13SBnb5aDo8D/FeCN53jQCLm3zai6eFyIX+l9A3AYSs9u2guINzt927CK8lqDCcdQIqA8A 71p0L6AleW/dIEoGYtlPCiCGUze+iUqiV78fzNKS6o88HVagYdCH2OX/SgT9iTBr38yX90vDMkDi MGeFdmW0E9ibYYE179I6bCeDZoYLjIHQzwklINxl260CER8PhMyul1tTcBCGxZFYfeiu/J6nUUk2 cxIfhWR9rzTaGy9hZqxoAY2dcSRGclEoeXEgzFDs2+1Av2FC8nOvJOeX8Rc/OXldZSHBKOA3uAa0 BH8LtUlsh2vXBFnPJqDFlgulUhKdziGD4gFWi4CffliNdQiNbzJG2g2mYcUYLvStCUUdN+xwImad O/fr0kdf8NVxJlkHz0xLXWQgQbAIx8Qpw+TQZG2N7sYSx+FBSaHAldGSxDNoOMtJhq2PWRXUh+w3 mlEjCOnRNP76scck2IlZ2h9LKcfIdWO0iZFd/UQ/tg77JtnA4MSCD5G8J03kkevj27e0S9gQ4TA2 TDPqzmQkNWi1GeWNWKny7Y2Hn6ek89aHs96b/dzQD5A00giAI1CeI2W5B8fUVgMDI8Tv/hco9Nmg DJzj6qM5ymCntgCgQgkvlLnCYvu75DK8t+aVpSZCVw4bjv5Pr2GzI0XZ6/q0ZHYPmUkbbXjaP4j1 k4+r8X9DESvYXL8iIgsZo+ZRvUijm4EK5g39AYl1EdEPsmafwDySCuK52D1nlXOfa37GxZ7qdUE7 7oPD5PU0LryXVQkI3RLkatKonkUw2Dw2qnjy/9M8FQnGj21BxBm2h/OGo7hhMfhwhfgZegfGOAlK xbbaB2b3Ud22K6R/Z47qP9XECtViiGX0t9dCYw/uy+cVfdhtok107K8kWaj1sYcCG0G5xM7wLSiM j0PGdTOpK8RWpOvggdWg35I+3yxtSZtiMZLey5riSvp0FO4phFvxo9Cfo4CoIDp8CbAWcVM5iJUf 1/VVyj+NlaUoFaicsV4AvWVSqfZ7a9y2g53zdXrJYg8gw1wXppEDSEd4TMVRXFVMKByFsUVrEcun Mga44e8/Cy99gwDdX6h1AgSAkyBHjifaX1Ab1YKlJlmrZdtJwLY2oXGvA1KKRrzqyN7Y2LFiOu0k qnpjOvndIrXjVCuih8aPZA2/U9o59NzthC3icYUL+jYyP1m656ya34iCaxqdSOkRFhgdBU9kYvaf //aFAIQ5Rf1s31JarSZUL5By95wrCNBfnkoPrkv/hcLrHtwXB7C6Wy+uQh98obEtgwCmB32agrUt z0xltNI2+zb6OVC9WAZHSpSbx/KlUDK4Do07zUvuKuQyoK7/0RJxQ0uGLsurOEisOqNI03hm2/FN JHWYXnWqczYTI6XZMYPXBG898aD0OPLA+7juUt+CcVYFXwEG9cnjQ5JXsUz2od9RcCLhJuOE1kpw XRdP0O37bhw0AlAU+icGdUpSQ5IQAJbgwgiuvJvlMouL8fOfD4wawnd2A7wTOLrQQZJPZa/lD/HS hyvkFbnKgRuAXdYBDMCATulpc6knX4azhgtESa5LNV5WuboxGJTuUgrUg2JNSerxIROwv4IIY59x b1lOrkCo6EzXjyq/MH6VRHTLDAwDcgHE9laHUME6A/yswEJZVlzakP/YcGBCyRu95RH62Ngmj9iN zO+dtWY90mEHxvQ7lXgOmRg+VDhnXZ2aeOihIJgsx0RtnLsEmBViaGWJYwsWAsZJCXHF/6hM0YBW JUZjg4grgwbm1Fq8w96E09uNYDAE1alX1IDAvrNJGkOkBpD2EEUGeqJ0G8Vvngp/RfgFGbvR1Gvg 81L1d5yJ/8ALBfTJ0WbBqxggFi9fq1h+IDl4HO7HCo2bAJL/6ElAvZY53HZm/ExIbhDZ4TDAxMqi gwPBv58c2ytJZbwB6vTIX/7VhpOaISJGaYe+2ki/iyqwTu8VZXAOqVwtg4oaqFKzDGW+Vg7DAzpD YsiN4QUBPZaCEcgulqDi4RLH1Ms6ZVf2ZrjUh+nV30JRsfShOTfFQyZEN1LtRLW0PCgzCKz32N3U 7lXXG5RBF6CZhMVNeGFtI1l0RUTtWM3O8ZHM+CUInAuPvdSY7wYbj+jdHrhO1HI2UiTT/HahpNMp DUWih8b36yY99YiFqfXTCrYBV97lUyLrshL58DJK6ojyhjOLn/+JLSEmqupAfuJCSVPrIQu3+YfI 0JeXEWMUEyjN8ZcJCGTcEuZw0ujlBNGuozHV9jRPVbM5qGbsgO6rz83AgEVZBGAkgg7q8RBTNQma CsZQXWbtLyWAwuyms+9xVOyXZAOuRYhyE6uih2ezu/N2LDSzzEnb+sG6Up4torLA89l6B97gIxMP dEb4rzHm4/K2S/nmMnsiPsdB78oxv9Qqxs5pjboRsnoM8aH8DXs5hU5385tpbmmQIgFthBdou1PC YTk8nk9Dzgv8qWNbs/evdeWlPrLtQ5E2zARuh2R+Xuw+ND/JqPqUASFf6LmMvloIZqJ0kUdIQvBE Y7rEa8JNeKc0mBYzH0oo8k1jg7muv8dgyp8nWsgmYsOd0A2vqnUHwAYuMC+E4FR2jO0FMWzrKzw2 1+K1H1OyGaO7RGAJM8ScsUX4kFRw8UD5TqPjRFeU4dXUcD+vZFVJ4hU4sgwKjdZkMUfWEG2kFnTU on0INQlBM5+gDMGR27xzU+IGfCeEoBhJ/tAbo7AcBYPYR7hmi2JvbTWACY/2gI5bvJ1orxDdgdpK zLDEmNbynpkpk+VOWb/sD6OMO7+aNwm+HU96dDskeKPNN5yx5lisu9xCA0zt3iQw8+/Xgt+y2Kb/ EGqivBS+ypPkpc7J5mCStCjp1FsaTLJEIwx9RXDLCefj+c4egvLUIq55sKGlcIh5eRAASmkFH1xT KsGdUtQ8tQpK2EiF6Ucf3Bdbl8BQreQ5r2CrKlLWd9LsNfpeArCF6BDocXpFSvU9LQQPAl79kvUk sLD6am5BtwmcB7j3gpJjoBOzC8MTMF6W5UvuKTcqdVXNteP2AxoOHGTEbqkPJ8sUMZVSHNomJhMy PuroMyTreU/cSijUqKGj4Gewwmg3qrnpWGOm8sGEdWMxpri0+BbDopVPz2CzA8IhLlWwKBwUvw0g Rr/mS+seOYl2w8aoWxZYQAdVKvjJQVRLBxLraCJtUlu0MA+krqsXrwQezJMapBd56d4AOAmcSG5T sxB1PzfQUIqHR6EpRSNMuD8rVIqbUbv5lBSTRHsU4tu7GB2bRuc4fKTjEG3qZF7B2Xd4pEChmDZv d21IRjE3DzSYunXpWQzingmQSRRuNElEY4R3MkHTr+Yo2LUqnmw4VmAly+RnGEOgTZ9JX4eaYu+z tSsfIlBiHzWca+8vUbqRPXco+swIvRs0ITkoIkYRFVsmLe6aFMpqVsI+iyuQ2B6lGlhaO7HmcSCW FV5BH8gHOHENXO0TaUxqg8IfPJxRPXFiimztXOJkeDnEQC8tiEKCR9zwYh3Tgs2Rz+LJCWj3j+SY rqG+bDL+NEh0epwDPBEQ+RqmiaLOmOCYo+e2YVNyVf0YSjzM49qcw6wx4kwJwJ3gXYDYfv+GBsIH DR7eYfjwXUgKCpbNwKyeBwhSAsQQMyI+REcMusr4W3+Ycj/IoMkZ+/kvmW7hBeLnlmUQZPdSB0kJ L0oQEpLrBS/uMOxSAeMW29EQWGubBKf0VgMOdcXW7Fncfv1wywUGsAhG9MVau9TqdqtK9hg3/CxW MZauoxmLvfU+nLjEzRlaLiXk//3B/osEEPYdN8QngF9wgvCSmKQbCCZ5+E2Y0g95EroRcfNXetOY Hidbx5ioRCivo7ZMz7lFwNjK69sSlqqXPE6645Cwh1dEbR6SNUxLvAO7gBuk+epr1Y9BBwuVhbzO qR96/ZK4WRbMNSIrpF8wACDBPsk5/GvTqm0k6uyFQ9E6/Q4A4HXtDKSpalxa2xz+jAu0c0qqiBc4 OfwYtYNMubAQ6qhjpGl6s5JYADNZ78ODWi2yBvl6YchcQYUyINnIRSuQMHp4yXFySzy+LPeQ8bDS FZvXYrLQm+IFB2wDQlppuZQgLrW9bYoUKxPxMZsa2TnjcODo1q2Sq4cHWGD5t1bkeuvWVamyJPgh aADTIH3/V/HO2QzYEwGipxESH1SNzKNnbYKCuGkY46QQ+meq4JgLcUJa7FiLZX2QNQF4o0TJ1Vmb +dkU8+v0vsnDrLGoFKYj6cd7KAewE0jPGxLdErbP2xA3kEFePCwENK5oJu0vQVzMv8BpQg6lwNYX hlmdmobfP3IzJbjlvIRym2FOI3c1T4gMtFYiUEgZT8B+nIVs3JMHcpz6LcLcAY26QMATeRz4+cF+ IpQC8gfk1E4RPdoTxUkyL18p0LnLWLM7YiO3MPnjHAm0DP5wpLKEWWBlaidi4b62Eq9JmqXKQ7f1 sAYhcMD9FG06QngK/JH05L4WkLhjjCf3Y6lY1m2NRoXlMiVGj/eCie2/ORR6NYvvNXWvOQrW1w/9 A2lH28DTJbTaOhKJ2fOvlQJE2EbZCJDwlVg5XQIGMvIBoEYTwt1+1r1fRLnxZqkXg+TmahWYzdfy WR6pDXSUr8Zt4ude6BkAoA5Hk0CRsIP+1bUS+xTfDBSiZrb+AKhZi1gIvND2z6qthP88fks+fpoh 6iUyFlAaB3W/NkxqI/n68wi4n5a0RXmVm1CHLosrmkuPNPN1JZ2f0fvjJGPc/STZETIskqkCjIJl 1dHCi+5my+wI+wzUrz+HmzY40EsFxaC/58UN4xZYgnh9cNoJyVILju4gnR/cNkQJiEQwRud4RrOM mkUxCRjTiGREylkzZG9jcixd3IxEJegV208pXJIq+7+beuSZFP40ffT18lHwZ+SH551s6uWYNzN5 aeD93tUfqL06mHBnCLuftuvi7h2TugZ6pfPkt+P6SrOG7eF+/WmeP3zPatm2xOyWyMEST1ItnyGy sKhZ0ARt6azyvN15b14AMHZ9RvqPtU9R8l+DfjP2v5tfbf7ts29IPpCmTxTjt3Z7wOYXPd7/O6B9 VS2ub0E4OwhVZ/npCs/dXY4YX0bhjl33XTJwJLyzxr+ZDnUDpu3ANMFk12VlGsOeAxRP8V5GKEPf vwPtn7hfoH8dVYv79DcmJuhv8Zt/AmVxjO2sDSo2Hn8RlEuGDn2aKgqNJhobXd5YKWBF+dVQTwGc i3DqfDyQETFQAI5YsKwd2jqUIXQCfYILQQWSdKqg5EE1Dt9IeceZoAin/lNMc73iHBl48d7fiQPr jd399cYtzdJVo7GaIc0dgurRacTghdrLmJ1CCMZCAZrvwM/UAtomlwcDAA/eWBoF5cF5FZ15BboK Pt5IQA0JsUf6VbDbz4qYulzClRop08BBoKegoKaECuzNu7Yr9YM7GjcSdNH7m67/G7LTBMiBriHF lTc/pIsakf5DxCaUzeNr8gUZ8y+Wqx2EJzNloxC1uFJMjMuCuhydVYoNCgaLJFIlJ59EgLfejLPc dxM4L6dhoxj9QN7G3WoKvR7hz3HVKbJwehQP/qkbu3LIyO4oEWBkx4oQa+VjMhZ9/81tyJDRK5NB awsbJu66lLPyxk6ZtNkmw0O00Ci0QxD+BHNUWZ9GOrXwyH0gB8UB/avU2apuFPqGXT91pvZPrtH7 9VbtP5v9xlkW8kZlUwBKc2wUK7AuKwd8kWqOqt3m3HXvQ7n6Z1ofZh69NGTLiohIut73KqZx9Qf9 y9F/cC6WAT4BBQERCgoMOJ0oSA0mJxUcERsHoQUgkQiGD5FcEOgIaTwMEQoVD88JS8+wDB0EMpyL RcmzuWxAUNhcqIVZkJHp6CxI+XyobEiKUbJAA6kNzMRSFheOT4lFJJzwABkdDwoOKZkxjUJLLWqt TX80iRqiTqcSdXDkISQa2UiIMhCiytPBFvJUBByUIzEAYqQiNRAQGMwJimDYE9JprVFwOABSU2oh IcbBoiWkPQ8kHxPaIBEOGmJiGI2YML7a9tQaaeg8XDb283ARUPJsLhglz+YCYPSAuXwoMPChksK5 UAiJaBwokAO8QMDIaMODZ5IGOC4kSFxsRcNaKBDJz6niZHQOPNhs4EbEqUpqUWBIINEAymR8Khwk TLJAA0/K5+QhyugEYMEwyYqVwEmRA5CUTwcLCaQBLgXasysfCm/KKEcn8JCQMMIA0hOCEQSdjY5T SVLrlMFxoQ2j0WYfDrgECQUgFYl0CrGcrHgIWBzWYYv+lufC59IblJI0NWx4MvRgkaEVABAmVEA+ JjRzIepghkPxCfloMqOBcmBAnew5dnP+f39r3lUtLnPIyayIyN94eVUMu9mio2oionrr3mVi7cur 2Jw6xo/dv/1/ztbJuorvteG7Tv1Fbsj0F9t5Jr/26nuNDdl7siemc48dZ0Pmz9PZfb86dtuQ/ebr /aeZ6Loha0xHblb/h/oNlwbD1fJhm8vCB8P1YbhIqDXh9CFBlhlhGAQDXXhMOH06JNSq+DBcKxXL jDCrpGLIsBmybmVPk72frFSQZHIoRNSi1kOjFrWo1dAsGoUDfADiDkmFpNFoNAY2HdTT6UAIyOGS CQnJZDIfIRmQTCazAsIlHCALxGAwlGalBEGAowWEwVALg6FWp/QMSy2HC+ejBOrwSrBoCSbDA8JJ SYuIbgCUqKWRMMqUPjqIKCOixJA0OugTpow6kISaw8TgYkH4dGqpTCARlwuGLpCwUdIgz+X7Z/7e /Vx1vSzZOXzO/123dM7U0zk+RXTd3HeZmLrbxH//zttrf839mryXntn/n675Om36nom5TszX958t H8YlzrEq5ea/i8LbojJv3ndEfK4557Zrj7pM3NPkZO+4m7pd5Gz41MTWdfb2++9t+NuNlZcBxswC a2YqLBkGSwTdQSJKwBFaVcWcU/V279+xrXP2qazriKivJfKqWP7zXff/r9uus/bGr6tiqs/cDxG5 23vHXns2LiLitk9dFXvLiL9Nn3vn7buZy2zduSq2+fQ9RsS3zd0y7cV0iIjuNXW5Ktaai47+776x U/bbrt7/r9qYc1WrbTuZv777+3/F9lRX9a5lK6RRQVEUtUgoowgWWFJaGOnEMqGFdEJhJJRRBNKE ESNVGLWgrBMJwoPRqePhoULhij1v/dX+z2//nPLzx3b+X2yO29v7W223//iacvvzbrlOt7W6zcbf Tx3RHbQ618bvLR8z1079UxHTW65bVXZ7vl5l8+T+RNRu+3ZV6drxLhM7x7ppM6llVbnNnOv/7fu9 zzludP2vr73l5w/xsbX7qtinp9Pn3CtjXu10jajZNF96y0/W6vAX8b05eq6yt4/p24j7bV2zr9Ne JrbNnbftuoXBcIFY+glFNn2XvJ8sOd+9TsR0jdFZN+a+RMR9TVMdnyrjdVfeRFRunM5NXZnLfm3Z v/nTRcG+dftr6122zR+CBKgyjNAppoREAhEJ0iRJB9IJEgbiOA6GWeCx0gMSQPBgjiRRDmaUUsQY QwghhBgiIiIygYjITNUByDqsZW6Rp09Q+LFpfQ9iFyQEtPbjWJ2mUUHBh9ZTNOYLWGOEc1Q0sili 0tgWKQmUlZkn5YLi5LUGiosg1sube36rnbE4vbLiTAg9HWa3nK9ADczhGizzbc0Bo7jbainuavNY W7n8NgkBSkIFfkl5rkjYGOewqw+fpSbm7pMb0rPher4Hx5LdpbO8iir6irwTZSgmqHaXBLCA4Ko5 A0EJ6+39BeBoODd5EVkTVzJzKm/11MKSLz1l7G7ZQWj/DpEjFGAV8mP0/yapMUnjvvqMSlMdOSJB 6d8BW/BURCIIIDj0JD85N3bUwCFQj2h0DRCjXkSGjFvlbULvEvfeUvR2uMYYUe96+zzbiYdIUve+ 2ijmwAptQLPxgS3me3IxDou11n3FILUQkZY6S0eZgoETZ6vFqqK/pejP8PqYxq0MRDjCDXUU6dOG PLgIkALaj4i0X/W3DmUFKF7nBm5lG9BcenOveYgbJEncaNvoUz2HH99Gg8BtEwcN5wPaqt1wipEG fVQa+hfni5+U+TGv+oMmYaJbyNVvX+ivPvjsz3U077zq98ZRilc/fhmpUPXsNQCG/5leYo6KzIY5 SkejMhdH4aoPTl7V730ohp2MJUehBGBQZibHSaEPMZmj4Br1v8Jd4zWzWOqQGwbobZ6jDFaJilEJ 0CgzzVF9dwDYpLBj3hJdmD9k9nYYzhjKWbLM/KKrtKyir3y+bF7Y6mT0LZtk+YhgT4UdtR+uuU4k 4L7Vh5PD00uQUzmTCzYNSCjTqu8zisVBk4AaZ9pDPNs3sh15PIOCyhQ0Lm34cgaLyEzKW1UK1XJx iCNyRiFoEv6YBAO02+gCf6bms5fMmYL54eS9jTfCAKRIyafY6yY0x/CuY90JkwnsG2GJDVBWLl8T GJn8HG7iNvGfRT6YyxlpcJawc1UjWRhiOTAjXiZ9wfLoIwxpbspKGaaZKGWiedMosyQjDNgIvYl/ qFROQhBuJkErHL3soEsx4QyckuATXKO508hnSummEMQ3GWSW1t9a0EaNa4FG6cAyFbFsDngiqySJ bz3xhzOKsxdVvDO/QVwdoRnqGAbb8Ve84YmH8BemOahvcGvBDxXhA0IcWin0w6xDwLnGIm0jRLiR sXb/EXrF7VEhMUi01I+u3T9X2IIflNCTzIpX52o3XPmMb8cUBR/4zz9L+A9dYvPNPS/MXOt70vm8 hfDvHGRbth2EXoOl6TX4z/+ugAxt6NbO4yOhPLX87nrF0GeO9mPIyTk49W86idrvYe7BCqGapNBJ cVKy11HCotjHo93PSvR99STYeDbryKEIyA8koF7Pqak0WeCqnu2BqsQgt02aR9NWptfmy+IpmE/b mOXrHt0dybw5Fq9kx9xpvro9+1mthjdtefYMrGnm2n2dI2WySSKxY96zVWXa32PAL3tsH/koPIrt o1ELRcCFR2M+IrhmRQiPNPiIdk+0FGzwUQ49jxT6yuiExqRLsixl1LyMb1YcAq8VRTbeKJO5J04U qVtEbyLfGIoOyccQCaYDoEHL0Cka+cfTC8oHk71AUbbv2/5uLGQ8o5As7iM+vCy3S5/ofqSIsYgO P4SoK8ElufSZQZIWLZFieG6sEn3Py0Yu0M00W/5nJdjhWFOxZzbXKkwoAQWFRAF3O7wGHaCvpkKk wgxGpmSa/Ml9YLUHmVBLg/GqdpWuisg8CqcwpvBeVNbi9uc5S3a3b5Yfwsj28fBtpkJkhH+Lujfp wCag

In vitro ADME

Rapid in vitro screens to predict absorption, metabolism and clearance early, helping you rank compounds fast and reduce attrition

Learn more
KLUv/QBYvDwD6jznpCWQRIb57/GlMjlo8e1eAFzLjM7cQpC726Yqoaf+jEgEAEAAAAAezQlrCm0K rtQcdxh1f079BgjgsOs3QACHf7zm246lTLZ8SMjxS8B7v+uP6ddrOwI87hgKru/7rVUx3Eo97Ptz fox64foN0N/7Vb33f711jX63+QaQv2qWG181y/FLQCHxVXPmggl9rVsFgwTMKT3Xqsn9cELPe2K+ Y6hGQRPaQ/XSI+iy3xe/Z9qG49eDaRUZz6m6s7Q7NrtSs+xixbEXbGv1p19aM1Ga1+o5nlOaqn5n 1F2/mln60Is/Rmn/fuPZhjWV1m1NBdcsbUBK/vVL2/Jb35pJQe/Vv/TSLMUWC/4TeQ4ArueJj81q HH9V7N8117dd35w4jrUU1PVpisQLx68G3/I78jj+Kijg39qX4fiOzTz10gPkSHpw9S+xOBVBURw/ PaDjuyh2z0vxtuGVJcMAfPhThjcHlj2qvwFFcbxX/9L96GOWjP7U296rf5H/r12yFMNvr1YD7y3g d7QfoO4BwAO+xb6/baM/Rr13PdMC2O9OwWtCe4jdk2Np13ALerMUzdd833Malip5Tn2OgK+SKfWP Y5oYlqRperyTJD13Vv/SQ5PUutnLW4Zruv4BZu0HqL/9a/rfAtg4/urYwVIrSa+DYZmS3/hFaQEa NbflGWb9WhPwY/o1pzQajlMrjfd5Tj+ts2S4ZcPy+6nnOW5/APh+42/isluGZ43Y+Pd7cwbccAyj YBv+3C0WvDGp4NrldIyeNdpnvTGW/F5umfJp4X+9Ge3+9q81Wv01rXcKmtBYMlzfnK+aU7Ds+TQF 6RWDVR9jkGjZHyN2E5cxNEUAcP1v+91od4y+YwOaSUETWvz+zadxDg6oX3mG7xTs0D4Tl733u5oq mTWFPvS3DV9STZbSZFkAIZTm3/ePX41KZh/a6q+flj2+TBXSutazTUjjmUrjJAMNo/GuAaB17UDj WkXj2YCQxjM0pHHRl71z0ZNi2LnpcS3sPjS75+Rohrz03Rx7B8HQ7CY5miYnvdg9aYakx7ONxrM3 NKDxH9MvmPNlDO2/3synKUh3HHtXfzVIZA5NBmCWLV9m/3jAzblrVCWza5rZKc/s1MRlnNTEaZx3 jYvaqHXNax0sTS6GpB/LUey+e1wLS5KPZudmKHoS7B7XRJEUw9CbIxiaIOlxbSzJ3sfR9CIfS3D0 uGbyLormGPJwDENy9LhGeh+OoC/N0eOZQVanJk4LszPLssws2859995nKrhmWVmaZcbTrFxBH3rR j570pTc96lOv+tWzvvUc7KAHQTAERXAESbAETRAFUzBTwRVkQRZsQR720IdgGIZiOIZkWIZmiIZp qIZryIZtyMUuehEUQ1EUR5EUS9EUUTEVVXEVWbEV+dhHP2bgGI7iOI7kWI7miI7pqI7ryI7tyMlO ehIkQ1IkRXIkSbIkTRIlU1IlV5IlW5KXvfQlWIalWI4lWZalWWboWrJlW3Kzm94EzdAUzdEkzdI0 TdRMTdVcTdZsTY521KMgGqIiOqIkWqImiqLpirJoi/I066lPwTRMxXRMybRMzRRN01RN15RN25Sr XfUqqIaqqI4qqZaqqaJqqqrqqrJqq/K1r34F13AV13El13LNzBVd01Vd15Vd25WznfUsyIJsyIrs yJJsyZosyqasyq4sy7Ysb3vrW7ANW7EdW7ItW7NF27RV27Vl27Zd0zQ1UzIVUzDtaYuuKIqW6IiG q5mapkmaoelNbrJlWpplRpZi6UtesqRKoiRJiq05kl0VUbEURzFsS1AFsxQ0VZ+Kvc1QMgR972uG mqVJgqYvx1LMukmWKTpm4yiOYh87KppsqGYeBc109KJP0VHMPGdFtlyzlDRBsqujmpljOZLiCI6e HbtY+jDrXfVoGXrQezYTe8jyFR1DDnbOz8ynvvO0ZVc1S1EURVETNdESLUl0REdUDFEQBT3a0Y5y tDVbkzVZczVXUzVVMzVREzUzkzRHczRFMzRDEzS92U1ucrMt25ItV7VMS7Q0y7IkS7IcS7EMS7D0 pS97yUtetiRLrqRKZimJkiZZkiQ5kiIZkiDpyU5ysh3bkR3XMR3TER3NsRzHcRzDERz92Ec+tuIq qmIqmmIpkqIoimIogqIXMy62IRuuoRqmIRqaIRmOoRiGIRj2kIctyIIrqIIpaIIlSIIjKIIhCIIe 5GDrWb/61KPe9KYn/ehFH/oM9N13z33b1652tacd7WY3e9nJPvawgx3svvfOe8tZrvKUo9zkJi85 yUcucpGHHOSed84zgcwgU6Wa17iWKVia6r9eWfYkNMctf1j11q6car3REDma4tNvi6Op5NhMv2b1 33CMo9VfJcOr1v1qQveX31hzy/B7qV/5jX8A+GKr5B+nWisAfKc+bdc/Bbfot2bBcfyqd43eNdq6 X408UM83rGI1WWOj4EtCU2jyDK9kitZK3S8An6VitXieO/E8d7SWHatTrf73/ab+bQ/g/DgF3/Wr edlwPKNeAzj0HP8AMvuq59VfE5pC+/Ubtwoafr2EpmDJcOqtO1pCU9ypf4Aa0FQ/ALie79T/JLJ5 JVPo2Fy7MsyKxRpTmclYMnzLcK2R54yJjt2fw5rjudZwXGbf8n+9ZlUlsxyXcTAe5xjV5OV/32/c +rCXYh9J0/Qm92bvvPRKzZMquHZN39DIMGw4ZJgF1wOf9Wo4EoAPf0TVN6lkFoB/v3L97xg1kZ2C clkpauPotbI0tbGTXePjaGqj2Rua48OfuSN/esDEuxZ6x80yBTCtYNMt/1ueVZMMs35qIrtd/wHv 5RXLlHcsnu2/uT+rfjv9jdu7Rk1i/FUzxqSgXNY1x4/fFOez6vdiCj0F5TKvOewblj31j2MbzsOQ c9fol+eM5gDgwwF+NzXR6yapebCDPoZFr/veRU30fBf//cb063dCz7vtqt8XPdcKkjzDrL8xSHDN kbobjsu45rBZMnzfn/NZ74tiIikol2mOz3ptjwmkoFw29q456o96xTKqGI6lJt8paNfu91XP7Y/h 1iRSUC5zpd441QCY4/iLtPeWP+vFaPI7QNUcdj3Hs2rbPzXXmlv+r1hqXjku6yUpkqM3TdObHu+m BopmB8lugiQPPbAstdDk3Y8jyLkIeqLvGml6kyRL0zQ99+y/gSccl/VuamFZaqLvWhh2zSFgTlky rJJjc8pxGViCY9ccPwDYtt8A8qtyXEZ2x9g10XP/9f6RXXP8+13lGVawAtjej8Wp1tAGsOZ4TsEC 5lub6xsOoMkUU+putIYWet4FhJ53raHZ8pyiaP+GbdQHaQ0NgJ9JaI4f33CH4zJFQlPAMvxSoQnN Uc8tx2Xd857pNYc8w3b9P6aSgnJcxr3Qa4pNop7vt77tWBxTNM1Rz/f7a5XjMo17YOOjZhXa4Gg2 LhfLwwCyJYWFTUQ61qB7GJ3RPYzOZYV7YMRuFg21O1hc0LVJbOcytkSrI7bLDNFpo74JwvD2OQRD rPj82cgc95RwHhgGpvOJgKH3YumRbh3YcFnsgi56unkZjgL82YuYacK5w2nCNR53AqLObrXnFISC wB/HiRUOO2jOjoBAXTRU9jw7LiPAdB/ICT/eHqSLvhq45rkorL/1cetvfanvqBL0OTvQRecy1QCh 4q+DhsIjDAwE4TcDLsV0nZ1qz2nHZQnGQcVflY2E4EAQ4DLXajo8IZxwFYzVH2QRM2ynx95EMiz7 UdfpiJBHtwR1X6keT9d+1DWXnSyVRwRRH1L9wLilXbIfj0srFGo+K0nhljaXiewH2dVtaXvsBygy E94tUcfixLmMoYEgvMFvfqtghwgypWITqGsua5GJjwBFteuOBveE+nwuDuRkVt7A9ABlQ2H0A2Pa cu9tCbaBE4ZcK70ASRauQeFwUHXHSYGCwF8BI7C6gB6BKKzrWAjycYRcYr7YjQ0iCUVLtD/vVRHP DgEWzo7LQMxA6tE1NBCEJ9QuU6xmCeiiFw4HFW90D6MTatMBw2UG0GZlbOpmZXgHLcbWOWgxNpFZ aWyq6+w2gwHBw2jHdYBJCrbz+8gF1fX5k2S+zVVC9QLHw+g8IVS8hSBz8gZEunlljHh2tICCPg9b 5aDiC4E1dDACP6XNkCBsBUGgrgu67COTsoFhIGwuK5GaMqERfQq2wSYAsguzm5QL0/WRe6xujRsI Lap4xl1zPp+L46BMyQk/Xqiw7NrbBCqOm+RRJgPnQBJqX2LaU1CkmZJCcIcIBzNTchn11rVhE7jw DGibFBRUpZGg4CJXA6FeluoU51rgMdNplGpOL2DiCdKRW6TaVLtAApHLWoES49IKhaOu+ayk2uDg AStDtzwNDlIiQSABQ5xbKi5nbFSD7AeXiWLeLREIzfgejGq5H1TcIDITviO3ZSSzJT4qAhBncxmB coBokfjqDxDuNhP6LckgQHzoVW3UoP7ATJXRxSMyWJA0JNF6YU8cM5okToSvX6QJJjcopl9ilTiX gaU58KIPMv6zwddBKNOIbRIvR1zGWB2QODlqVaLoYA3NkAOKa4DEuUxhIBaQSAQlE3tiGqPOqJoY kwvBXi0REB9wb8KrsiOIZ26Ca/o4CH3FY7d2deuHUKE/sFFMZX0gApLWw4EXgt0QALnOY+AXAdry 4S7qRNDicBlLRnwG5k0noSgwyPyJBRE7JRnTaCHYXEZQmDi8YbAVPhzOMOAg51u4zEOUFQuIeHBa rtjAJlMfSLjMAaMQsKAByXagmKQFhq8FJWjDcLUg5LJSq3KRhbF02Z+PHBQNmWiI3gKDy8c9Oy4z dTYXmjyouG+8m3H+k84fVLwbWnKUUZMFJ/x4b5AXLlAQ1jWXDUhYH9HxE9fT+pcDxOBymaeg4PKT ipFd3CS1IlgzIWe+WoLNZQRpp+Uj0aP+cAyFUWJJW85lc3hQcUxshBXEtyXYmAVveUjUukbstyiJ CIWxi9yczrCcy271oOJsgyTZGpTFaki5jdG2BLugsd9+Il4uU/iDit/diMIFtvczyJSQ7m9eD4GO xGUELC/QjRQhi0IX3f0pQtE6bO7ZxcoL6AmEqUc3oFA3MdYeVFxEJj5i406xmssY7D07Oo0iPKiE AhtC1ZwmnH6pwO0Qo3RR6rkswQk/PrMMwG2+LxdPBBQ4cKlnNL3fMZcOnjKlnjpcFvIMgMBHwlFa QFgu4KkrHrvi2bHfQKebiPbnudaVcCL8iiBttvpNEx4LCZ/7lOV5zMzwaNy5YL6QCiZKZg5q+Ovg 4eIyHZOAcYuq8BbhvBujneAZe065LBRBPk4r1E2MuQRmwwk/vmGEF9SH1DsW6LSVXBbH2pcLKrZZ lFFsrevsNs5Bi7FJ2FFjW2QEFNuAl+o2TOsZ2237urYvd3kBPc5r0EI5Caj37XLA9IoBTCOpX17D uWzGpC6Ja8PafB9C1IE1rdDwD3FIQc5GsaygC6ZjY2n918JiPLvyJJ5dpHKaEBhAO/QYIwrnETHi CVrgBO3U4wQlkAtmy2UW0DhBVcT9Se7FQQ12nu8lwPKOqC1YOTKpZjOncYISEpG6nkAgCO+aIWe3 mRfQ4zKRysTYGPYksXFaz9gMVCbGxnmpbpsctBgbrEMjEBtDqg/MBY9SOqlGQuggNJKYwtp8FwQM 1TPgAIy6Kqko+dSHRm+MFkjHZRjb2yGBQt1E8G5FupOAfejkyRXz32uQ+k5eaZFcvgpJPbUDKdSd vVRlY6rCymUkh7C8swxSX92FZmfQ6iIrhfWsJAWutmCdabgGGSoBli82BqnP9kKzm9cBkgOyEiO+ 8QKdOIOuD71AlYisA4fMKR15Koj1owlIYCLan8dlNEc8u4QI8nGP4Y1tDWEYG8cR6zZvdVJsLbjF 2MyCjGITcJ3dtkF8jQ0yARVba9xAOu8gEAg9pvu4B8PwKKcg8GjnEWuh8npY/fq6me8To6nOZXT6 tfpmVZEop5FgUMJmgXTjSTw7FQdB5NyeGgIFr7FgLMEyBQ8ME/OUcA4qfp4GIqFrFc9uFR1UHIHp Pv6hPpGOPIlnx2UM7avm1F/FkkJROeinObTeKeiX3QJ+p3cK+kjNlzkls+6H42049WvNiqUJuR+O gN9RfdSLdT8cuf6W+Y6h7odz2+9l7azuh/PS9n+9GffDsVExzi3PrfvhoD+O55QM1/FXzS8VTXvx bce3raLp+LZrmlZ5NU2bog/LToqf9b5gr6Z5WdN0/QPA9aoNQGmqL8OrvyYA8GqanlteTdNeTdMy C7a/CuVtjpoPZrqOU6k3Rnl1fMsfrgOo5xYNxytPVadY9cyqf/z2AamYllMp21PVqRi+PVWdagXw 6Deuf4DZU9WpAbfNb/hGzQdfhuPVV3muF8t7dWolw5/10nX9ojhf/fiu51VNxyrvlleomO3d8ir+ AX4MozybfllffsnzLc8pz6Zf+jWneuzZdP1Vb8v2bPr+tmfTdA2y7voHkGcajlMeLeCFb/mdU9+O qejZowXM/4ZbANj2r2k6Znu0gBj1yj8lx2xZfj27VtXzq8Or2QfQFCPNAIiTGGmqf7+zqqE+SPM4 nifxbxn2XinXgFeqdc/eK1XT7+uGUf/HaWpevx3zVqtZ9X+M8lwvFg2v2rySKai5otVfVc/frn+A X8fxnHLJb4yiYZedYMlv/VlvHL8eaj74Pj/ygU7nDGw0AT+m4VhNP9J+4RjV4FtGR9ieZVibZc1U wRMA5pb9Yxq+4xjmB3g5FHRVf038BcAa7l+ZQ0E1r5JfGb5oHA2r9X7PmU/7Vu2W4be+bXlWE9oD fX+N0nOtrhSPB1yRnaf+6gXFBhmGqEYpqsKGalSZjU+aryr8Ks0kR7J+MQPemLbhtWuJDarxXAt9 h+15M3fiv+F36sefg9oUUUjAnLofjpZQ1XPqb+DLXaOqf781C8YktIcN1++HgsrfZQCwsgEYxdGL pjdBkgQ9EwSgLMdQ5KNomqToiSXZGjBAgIB79S+on6pjM+en4LgDsLK/PMuqH1y2MKW8gnJBdUbI GbG9lrnWBxO9NiIgISRiHLQyGlDWxMGjg55EcW1JEs1AKq8256VBwbvCacJPlWfFORHk451BY/Wv RL1dHhIuSxFcKmnmthZBVcB6iPdlL5sJjGxtMQ7qqs3/sBGkt45khCtVVbqgMLUfb7xSHMhliA9d dMP6W1/3h4jr7DbupbptRCA3tjOGFVupUTY2RrpQbGrrGVvGS3WKREG3VVQmxtaGcbdJEgXdxmUZ xNfY/GZlbDf/OCT2i+X2T8Dw/SHskOj8PnqHDKiobkgpmY8gI3DylggIBSetJwKmr8Rpwht/4OPs gADLXbCEdFx2qqgKR42lgr3xy4S3RCGXv1zz9LYJR8Ol8aM0FJROzuRxriyio1mL7UDK3EbCktML OUjxyWUjTczl3cBd4ffJaWwVEG1sXHY5aDE22wYZGxI9kGzvn889gDPqbKEn5cx82wZt9ZJyf85R QCc/cIjEkoLBUjAf88iuvwOW5YTGB+k6Cno2IGwVqLRrzSqlC7bB7YjVlMNs1yMJtWuCBObEueyw WZx4S0Z8+CbGcPmERGq5hDVbDtIZljsaAgKdSBEShHG3mTGsmLwuKw4CB2AUsRE4efmnogRTMDkk XIaBzxaa+SPni7wlVN9YoRb8Ax83kR+Wb6aWhZ2oDANhcxnibMXqRgSu61ZmwOWZueDyFtRp+Rnh LZeEqUcXD6R+w7ikxaZxROp6lTkVv7wMsDOB6czuk7oUKB4tA+e++c+EzQDWNSLB4epbUtDRq0en eXHZwIEoOlB0qsmUULimTwzzuZ4YJmhxVha6cz6wyShjmpxvaWVOLgnronKRJtiFMzbo1kdcOLKL WwsgjsExlkSEb9Oim+KmbIQCg0FkYZZ/gnhj80fhspbdjSIqYkDgwcE1PoKatdhQGxNTGCQapQgF DYrCwrMb1+eswqbCLYUCj6IHEZNvQ27mW3i2hecykZfCJKpMeHs6exwNOTsbBenmFmwEG3EZbAQK FVCEt6sf/a0jtoMwxGoBQ6z4IWYqSDhWMofLZI57yhyZ0wmpKuOl4WyHAuKJVGKVHqHc60ZQYjzb viriOVFsfOk669KXrkODLRV4yIJOQh+2UzAOKu5XPx80nJ/tWkUXfYWgi76qCEz31QcSYWscBAab gPyKlV6qAlUxKSdlzXUBjZuyH2jj3Yxc5voPdyiJD5P9EPB4t4HKKYGiW44cKgYSDmgeJO/gliH7 Md4iB7qlpYxH9WJuO/ZjIMSWYIXR/JOSk2a+KGR5KAqiMH5ODJeLm0uwTaIXAw9whdFvJqSWs9oR SbEhDYXRZ7jZNkotwSYpPGNhtBVGApYXOFBagsi1MaASLTETczRHPLvO8qWqmvJSteX3J+kgFMQ+ /NmJJ2irfziqDXrwyFQnIEgSZR2MCndfNOZjqOADOCk4oSDs21Q4lynaEdtTA66QeCibZAqlIlMo 9Z664jbKtVEuiPKeuuKqjbJRXFabapMLgvBqoaWGapN7gsIL4UV4Bgyx8gwYYsWAIVb8E/p8KLRo /vjOZXcu+3cu+/P54wllnpAH/LiLf/A5/wef/4PPE//g85fmpeGEDjfkNOEqZztOE67CwtOEq6b3 WzbOEwFvjSNSESuvCsw0gJVXdxhASwcrL4LDAFY+l2kAG6IplPoJC5ywvH2GUj+JVE6TSQ9p4I+w RW7Yebumd1WVyH12rquyXVXXtm8bIrxt5xLeTjNEDBFbYmmGqCFiS2zNEJ2egVF4WXHuPR7ooiM0 B81qUEvQRT9ozo7LfInLuIzLKl6q2ySLg9TqFx6FgpVEzeqwS8Ltt8GZ+V7nCdVjBEuqRwxYbm/I B5gE1LpAuvFEXrwdEnyfp4pCooQoBNoo11NXIrorhNSQl3CsGAkHhvB+HkMk9BXnMtjIPWEj2AgU IvRVR+grWkSLaJF7fg4Ekap6MMTq0ynmz/xxTy7zhDYNuugqp9otunDZ39O9EqcJR2C6jcARsYSc JwIqIJ4ICFpoS/dEQC4DLfRG4IjATANYeZkGEIxVegVh6WDlVSFYeoQ2DaBd6ZF7TUS4bMbcayLS 3STPZZSb5Aswm+QzTzloTLx93lxmmkxYE9bkVPIn30v+1AqlPqYKpZ4Qo0vXCXoU3VmGiC0d2IaI /YzYzhCxbOn+fl0X3VZgP7hs7E4zBD6317HitkL1ueUy0IKtYeF2iwGG+Thp46CaFiijLCp2wEM1 peMyG+XeXGZQCqVe7Z/QmHCseG1ya5ML1ia3JxwrbgBBeLU21Sb39A1CXzUIfQUbuSdIAQJtCG8H YSP3/Hw+n09IBWGIFfcwxAqGWNEiTMHUXfYHFSK66IjPH1SdhELhKU4TzlCcJrxTnCZccZpwVaG+ n780L43LCS1M7+cI0/u5hbZwnki2gVz25zIFgSNiQZCeCEjgiFhAC/2BsUqPgJVXIgQrr0rCYQAr rwWX3eu9Ug4oB4qNTag3yyb5ek1EJixTKPWff/D5hOXtM3J3jWfCZRMW6Dv/fD6m6+y8q3IJH4Lw i3Tz3qWrclsT4e0eRTNEs3da5w2h8avBwIxhwBYJFAT+ZrmDHFQ8jrVnx2XjJUEQEBmojnPiuewX BkpbFcuUH0smsQm0BWcv3TLUSxJ1y9d+ROgFTHS99ytIieIQ3ZJghCFxhltQ9tgAxKwKEiPWfkJU R/VuSWEUjOoNMkCwvagpvU2grkexEVaYlAUFApebDZfwisK6Tpkq/VAYO5255SDdEkiisORfG0Nh /FQtQSQKDWLaUyiMHnFpCSNF2GmQJFthBDOe+NF5p1jNZRpFAVE4TbiqHYVajdtFVi6LHbZG2eF0 kZVT+YUVVPlStbvWDsQEKdXsJb0/CefTFqzkymBFqhivz2PsAdM3aul59dWY9FouYNBYAYb5PK4C RieoBCY5XDIoyGUHjE3yD/Dz1JWNck/uDqVe5WCh1Kv2nLpCqVdFNkqkCNWml8btOFlMOBKOFfcJ x4qXIAgfCrnmueAyDOHtIBAIBDJ8whsS+orQV5zLOqGvOGwEYqwjtvPPW7t1xHY1C2GIFS2iRbTI PT8hLlMX54jt/KF+nvtzicfjIXDQRfcu+7vszz+XPX88XLbohDqZ48ocV+a4p8xxDwfJacJVbno/ /0zv51zWML2fvzQuJ5RQkBuBI7PQtMg9OwvIeSLgweKCmyVB4IiwJ2ihucxSIHBY+N2JgJvKq6tN 7tlVYKYBjFXWEMhlf155VRKWHuEOnsMAGiw9UslilX5DRC4TEfqKUw4UIpfLWjaJyzAEjsiBTUQo BxR7TglsIpK5DdHZUe41EekIbMeJzkJTKPUKEGWf98Q+Xxp3worcljRG8hPWZMZMWK55clnsvNlt Ys9p1xCFUu/r0nV2XObZF6HidemqS0TM5EoKLQjCE0wMBOELGwqC8LHSdXYE3lVxWYvQnJ1bqD0Q hKdLV5dIGRWzIPUwD3NAurn1pZt30jGEt6ebl8AAcmKFAKIYLOPsuKx9uQx2IbyzR50GnrriXMaW OgbBQEHCseJsyTVP2Mg9O/bgaT73VpBmiA4Kj+n9nC0dCiMwIyx1O7+cKot4dl73MLprhlg6yOlR JejTkvlEwAr7MICdgwF7dwj+GBp1xUmbBOERin/wOWKSCBuwl+YsEmB4YAJVHxT0JQwKctl3Es+u lNyfk/Z94OADSOCenUgSzzAUEZB0bG61xpNXwch2otSDrPvjXlcZsd1boOiiewa3wMUfCEKueSIO Qlag5TIPQmY5DgLvtzYKUGJByHKh/OtqNArdJbzd87gahdOEiyzURxGIkfwELEgXHAjCNz6EV7GO 2M7wNqiPv7yXcUGl9CcCgp1QSuFLC4PUmxdvhyAZ7aC0hWypp8fBg6oOiGfkHtHHuezbiD5eFso4 HWjHlrpSlL43IOooIoVnUHi5EwFDmo6ySZ7L+EbzcTsEQXjvovl4rEHRdKpmUThNuPe4X880JhLD pHOZl1GFLJeRQSU8bkY8uwUsdTtLpb9Plhqp7tK9t6mwmFoIRueTrxVrg1DqaQrh7QtS/HiiIzzx Noln5yXuj9ciRqw5u5NJxpQSnip+nMtEBkT8uC05qDj3n/d8wzO8P511p2Ig4QT8ThPPZf37vgaX Mb7uO2keoGxYfKrFJdiF0TNOE85lLcZpwj/GQOSN1W7oNRiMBYNxmvCu8BqKTnHaBLjRxoBKGIjS mv3mrce8a4AEV5mbYWrEsKjJ06SkKlAVXNYdKLA26EIDBrERx14FOte1zhrx9BwQPNJEtCjS0MHA Drct1k+x2g0Jbyd5yLsASRaEP/BxEgHLC9wmeySeHWiySd4nlHou80puZ6yEt3eDxwFsPEZsj90E jGpCoU8kfN7ObuQkENiIQe1YmKGwPQFVCe0sHiQFINoIhTCMjcFViW/WqAaIl3dQcYaILvpCovl4 bPNEQFtlk/xHXSd18iHP7suIZ/c5aLc3MuLZNbyS29PMAuJGKnwWqKxcpRndIp5dxIISOWwDQXiG 5OQymlMZfWE5yZzRYed9dgnLQZ18E/HsCryS2z2YaQC5TDIRz45/QqkfMSadQ1SE4sc90T5oCLBd coVmjQKB2saOx9l0Mt6fRFPHirSCSUFsYh4gObgstHFJod8WrDGVG88J3ZVEiS1CV58psGgkLpSL QS2sUsKfjhnzXUDJpMO0QsMNvBQmGTkUFcKbQEds/xAluuhf4TThXynBzUV9AC0GClPLZScBAQPo FU4TPjpQn4uv++MfDNu2irJbVdHn1BKEIQvjO0k8uwSIk8Sz4wOKA+iRxHNj+PCHpKQwGSzHif1Y IB64Pm5wrWABXPKnzgu+AvHswDZlKhhfD9aHIEg8uxkkdpB4dgoS6uw4SDw/kHh2n0qwelCKjKye EnbAkujjJxCod8Sz4xpVAQsbYhyUVRaQ3G/Q3GIKuRAofMoJtBOFTzn1skpp0AXLi9PNQxJR+EZH PLtG2FB4Q22a8IJA4exAD0EnEM+upERSncs+AvHsOqSR6jOG4SANqc4gEM/O61ioTlkQiGcHbiKT 3jfux2MHNsl3o1DqFwyP4pYYqltaQNxSH0BZDwP4Uc6Pc1nEU5D6hgpRDW8HORXkad7vhJNAIE4R P85lJsyVYm+HZxVeGhPx7BoJx4p3E/HsOhhixSfi2S3+QcL0fv55Cc7vl2kAvZPFYnSaI56zRjxN j652rhlSwt5JCMPYVCDa2CLlatgyXopA0G0VxNfYvnI1bKvr7LYP4mtsYUZAsR0UBoZJt112xT0H h+fvt5Twrba0+QrkodVl89DqBkZBLMmcLKKkALRAuvGUUJwsqsMAehLTITB0yGU0BF1wmQrCnFIR Gem0kIqDwG0zBKmxwxas40ucoCzosEgM5LZgvbeZy1hGieI7WZBRd8Gl+g0TCSSvCmrymztjPnXA wegUVEKiHsxrgyIYbCLC2awFl70qh95ZSTY/BbEUxg+hIYIKYi+PLrKCmEvB4+CaSx6Tvlb/URgc tDagN1+B9bYgZhvFkhlRX/qqipg8iNDKqGvQSKEUXMZlXIYxK43tEcOKTXKwJ595OoAbxuqQ2KJD qscfi+pq6Mx8XNa+SqguwwqxBHMgiCUcg3HyHukictnnuYy8nGI1l9kGcYK2Ap6VZPNlTinoPbHL ZQb3G1sVnOMkhHQrHIHeKOiOGpzP0Aqg4IHLxaCu1RQlq13AgRyD7vuDrrm5zBdo4JTLZS2J8eAy kEvgctkWivC5AMJlGNvX9abxUt02EMIwNs/AkNg2jbKxwVZjosFPKGhwvBS+K50OIIVVSng15GY+ AoFM9dMgwegtbWh0DwTU8MJmEX3nm7eQgzXZB5xDxwD0uj+i8/sNpQ/KYdFQGGywmkB4sPfzI5vd diO2c9nBG6PtInaZWvQT0UWHfVhH6cDTQUeLTWTs5eugOTvHxdthDBTeHeyTyJbKZfdHdDJGMFsu C4WRTlvTMgOtiF1kbTMEKVTCaQaaEaUg1nMvVV2czIo/KAlG16gYjWTuYhi09VaXRG1nzOeG7grv cK2M1qZv8gqMTfIPkSpBnxoyUtdcdh54XgSrTzR84s4Unsu4jJ4oPJcdGCYdVJkYG1v6MLZydVJs A42ysT0IBB3poMXYEFzmEQjBKOa0ckkS9Vf4eNs0vEZsUn1unS3UbsXMhxm9Sb9YMqi6aKhcxlea V+Wy/+EyLuMyViPVzdEZuj+XVdaYi8sS7iKC8J869FLGyYo9JoUKSVVtDGZ7igWz5fjMKeWjqrA6 1vngaDmXeZ6L+8ZWgbshIEBwQ22HfaoKz3gOJilIDpyvkeAfyeaCPRJ5gy/dFo04kMvoV11x9BPd H+w16Iy+gVQMVIcLmuoCbLHdnsPuuRo+nnPCZRtX5SHppNvUggQ8b/Wg7WXyMHDtoC6I666j1WB5 nFw2i04ug1u0/Um4gThBR6FP7J7ypeBRcpRqlpEqWVMy8WzKWSsktd7ECWqJ3J/kwklBLKfHRNfH StbMFDKnNBUYJyiXScZxgpoYDclBsiJ1zUh0GbRgq8QSxKbkfIrDiYK0668+FsY8epdKCe9BJSSq bkTzgAd7Py5ymRm75xaXDbmBuD2X2TEO5LLPizaIj+T0wWSJiz29rITL3hKjJ7hsg/rcm9qPc5mB Zi22GvTpoK0CuGPtwokQQEEu42zWojUwntitc5taCsTykXDZ/yBIV9e9cjvEzoxNkEi4Ui6DP+uQ bC4OLpNIFIyNE8IwtrqR6jaL6+y2C+JrbBcaxtgECohFpvWMLfVS3SbxUt34waw0khjsxKCIkEx1 uGNUeAU8bb7O49LqXGZZgU4eYb5e6C2LWqjIBPuIZ0cvTCnfuexwPiIdwRFRqVx2luzL/EJrkXh+ pvbj7MLkObms84f+vbAqKcVIPiXRRX+hk9BD3L6u7034cXhNe7y2NvyirOiHwiQd1kzYUUntoKZV BR0jGOuQGAwr4VQUThP+CDuYD2LgsPCEOeIyU+r0sqhVBR0F+rBaCTzGY91qFBTVk1kCCyE+kvrQ wqrk7kTAh4NAICRdoY/PkhHbECicXaLgHRSRLsEIUSaJNsYx1u5x8XYYGUitvlAA2dgEq9UQrh30 IsAaQAsThqlFyZCVWp823mpqjR6SmUioVJXVqagpoUI0IyICQZAEAPMSACAYHBQPCkbT6Tq3BxQA A0M2Jk5ERjQuIiwUhkNhaBwQCUM5DMNAisIwkIPKKcmMGACYICPAYyFAgc/ov0soUNoTA6EI7RcW 0PmqT9RSpsTC0Npb8+AQ1naj/R8owhfAAeiarN+QZ6YB8b/VaZDwFMzl7KvLRK24VTT2U9npV3E/ xKNQLOmzae7O0XOkAQYrLR70p9UwuCDMmQ+Ulj4ISfQnLwXsRZZocg6o0OSQR2V0dB+SHtxjms3a dX1oPlpu2Vh+dLU0Mg9HKHR8GhHiM4OL1r3+/Rx9ooe3WLZcS9yWCRHMt65YEABtLvzaUl3GJnNN Cqxo6wwPMrlUUXpXqLnXX/pJHKQt6EhPrIHWevOwvheRO60RR9asDMbryUO42FdEmm1gaXBhQt+G M+tGeXvJW0wEQd77LwHW9Qzkl44MJGyHj7he8kNai4V+FDCBKbGNwE56Tjrws2HYHzhivOboXgHT k0UqX65UAVNaEvgcMXLUNgLFi7JOdaetH+DckDF5REbXBDkpct/+l59R832ZNYmBEtdwkcLUbZC1 P6ldLpwC0K4TbRitviju56lyfF1og7x4walaXY8kWfloBe8ks7Djhpj0rVy7w6gXBCnEhsrKzZM8 xmuVyAovZBH31SsUq4kq7TqxIHBKE9euhAR9StHWJcKE90p8O/NMNE4ZaaUP6DfxdLuvqioMlAQU w1dxmPONNjS4a6WCXqddnLEzcxeT2pXyr/jkbHJbGn7/K+Sj7gSBsBi+b5JqVhwlFhXEIGILLxuN A/ldJfJVWbX4HFJhKK8ZUqWCvC0aW8JSWBnDgujBctY06KK3UJDv2sN721hSn7BLNaNkog9NwNLe eWjur5y0CzPG1K1XKAruiYGZBlY6lSliQUSjvyyXPkjYcRZBK6ZU2pvaJq7rNaHTDLrEyKLA+pzh uCYi5aA36HNSNj2HlDuRJ58QhhegBY3IRMficvp/B/ujJAt4iyIZ6Lp8D8YzNkKUpYrTZo2+kDea ev8i2PUEG9RBlHkE7wJVjF8mlRAC2Ur+trLBPJSDSUwIlOFbyvsJulnqC7s+KVFrkdOzTNKw8MDB a1r899KRVbnlmvJ2pKpOzbpb1UxwGDpRwmTcOis8u8oTxIUUVsyDP0gL6WWwX/1mYe9KqD+2fDjt IFEjGoHbVfG/PJBWgdRakk0K51olDtYCDt9S/VVqXHmjII7hCO6MSn6V+xmm2OqXK1zcTdLTcWC3 6VDjxkuGhw9HneqG2+2/a9UmYubAxw0DMGOTXQFRlyj3DK0kL+HkFGcKlpf4McGc1ucCndMIfloH u2iNthkbU8dGfeHwkm8ZBh+MpY5qj+jd/nRjwXZD7wdgyGgDIr2IjV/oGaTn2v6hQem3mnx+tT9o yxKwTbdZonRLIGODnuCKdX0LerGhd205EFSDbz1R0FWqLkynGizJY/aF1lInURUYZOVDzrC8imBa cn0cnKPs4vkeKJnYIoqJkUBoMDuzQbz+l8lSZrc9Ay6GVTfD8g1scGNoUO/hxzrBljj5MFmos8xB 7cKEHleMeiPBH8RG4gMN1cTwrlKZb8T+hvcN3wvTKqENuptKFNgwZ7qrFuXapXhum2TijGGbFCMe DFUJC1pq5UL/4S0EwaX6kIADot5PV6OvKlC9CT8GXI4jwaLcPpCuXRPM/buWrvyD8NgNetJjh1WX rdYlcnDg3KrWStQ6foKrQ8fOTPHgzMF12eWDxjkbG83lVXcSC03cUJCwDjuxTA6ZegJgLdQaU8+V +GVIOAA36ykBzJg2lK647Ul4c5zjQKuOuGHxQI5B41kBiYGZJyeuEylN6E4UrBtRRVbl+AIxwb5Z AQywqMzRoWLNcVX3lfLGYBrRY5U6kDsws4PrHvyfO9ID+xBosQkUKU+mciR8XZZJvFE9P6tqQOVE B/D2+zftxi5p2DfkZ5tEuMpy30UYB6/A378TkaGRpzZiz3ewsL2BK45Kj5l11kSmcQn0CdPlbqEk Al+csMPoNqUm0PePIlP2Tvb1PQa1VNoJSW8sZw7h4P74CI7L4JHCW7PFWe5dzRrS70Po20Eabtnr 4oqW8pmusJSRgfxNKjhZ8D593NLfzNT7ZOxJh6LQTJO7K6AACxqPQlS1YEPZGry1+1lnwcPzwMdx Yv/2SZuHJs2/SJiPag7Ehgtb/P/hIcRQ/WPex/+jvx23ygixhYqbcJdchoJBll8kDmsk4zuDtApv WDDEsLkQMxS36SdpVa/k7nT5Amvo2fKsArw/anQqGv+m1HbjicYFKfuY5SMVF99wSEmS2oo+RU6p pQyhMcrYpQO9v2Il9jDelAr8CfMQmdNohuYUmRIXJ6fGgz5aoPSBowW9xP0/IDvYi07dCBaTqhe1 F7d/Zrt1fytFFsfTX8WOuj3Lj3VC0GmyCtoWmqFqC+GNX/lcjoKIotfdIuCN2ipXLzpIdLPs4e7u /pjXLDPBTFx7DP61QBer1cOAVWKV6TfhI6RSJNMSyRAVfmxInJsyQgXvIWNkVaogS3l+dCwIkvV7 vnR3Suo6Njs6EkHk7sR1JOaSiIUkbAO8Ge3/SoljdHdjYHfTHN5JxQUflmwF2UVxkXnRO7s7TsMu HrobAHg3fSRSp+imuLLSfgvvjLvvkSV6nqGdn01Mrrav/zBEevcW/IearBotmiU3bdfSNH1nFaaH iBnhmzAmms0/Bijnb690iiNR6ID/xpYQc1ZlPpWZbN3HGvkzT9rJpVX0LTlwi2sbpYc6aMKlRipC 1NK2TAEQwm2j9QsBXzq3I4Qt/JDb8a/tbD80KE7ZH07BSD6LcmXRW8XYnx3H31Isck4F6E5SeHii tm214DbCeypRFJ9gzizHZu/5J1Mvbj9mgb8rpmFkD4Zvs7c/7nJM+Me1EAvPIzYh/ICDEaIG7MqO yAah70rQg1ek4x6BqNCifmzuylsQWSVk6Z/pNsIyWiLlYm1ARqFZcQjuh1QtiaZJrONjaUQP67lE nkU7kLZgsuexTVMRADwb9jSF42lbr4ljTxu2Xa6t7mP5I9jSdcYFHZ6TR2GqA3LENr8eg8l5QsG0 B4vw3mhPKW/Gd39omhmRkcBZPcYX45Z03BoJfhOrZLN0sXYy+ZDB0e1zQ6amyOsc5dvxUrEG2oVV cH9HskzwS5ad8+iAJEb2aLn2LSLHHLfsKNY6tjcnO+JIygshnmTRzETP2CAMgxudFfPt7XPlZFt2 sSwFNz53aWPlv/kHDz6Y+XwXXnOGimQ3GZQHU3YukKRK+bGAA7nESn/8W9gsNn4hlPgTpYgeCO+h n9daE0v71jSfehrJjentKt8vRAE6naFQG4Yo1GnW+OhghGfjxk6ilJadc/7ssY8Dn0PHtj+pkyIF O8hYIQth2B8xYgGwkSW9zRuN/hPu/te0/cOEjCVju4lbqWqA+slqX9Lw7aj7Noe31wLEukH8RnJY d2ST0CoBbpJ2lGs+dXBc9k1TehKXP4zGn8wcZHhh6bdPeUhdk2/TkuU3ZA/2l7OO3d0DZrfR2Klr /Lm2CMS67pMAxUTfa5EVkgV9WVSsOrr2Wl37DWYeyEZcndHBhuJOaT/BjzwTp1HPzEsue6ja4XPW UJTXoF24WNS0RUHaHuMQWM1nVZv72rv1zCZTPB3LVrUHrg0ppbWtNkGuUuaHkg5jkU+i2BA2b6AS CaPuTAZ9R6YcDMYW1bmGUzbhUoJ9MJDhrVtV3n1J+52Ufq4UIs41JwLpIqRppYOFIERmbBIDOajN smMYyNFB5auVc6BwA4DsSemxf06wIhnHcpjPVMz82cPdo+ceRubPuTPCIGb2VAoFqTz4g99S9yJw SBFevE3bQOxrN0ITOtIPJE1UW4y9XCl1C72roCV3K2l+3V/L03rcMHB9ElI+kGmji4x+6CKZYbef hjRZDciKvJxuYqF98NdgW6mx5ao+I0aLiyMwHZP54GobMl5yTWWvFcuCvlyP4tlkeB6wRArammCT 9OxagQ5q+SX1ftRR69m3UgnKC3j9l8Ti2hbVnFaIpRPni9OQyMOzLevmKnKrt/GyvtwEmiteWqD9 OoHUTEQuDYVE/GsmzY2UOP10B67NIU5N8Naq+E+YIlgHuYiuUkz6qClWxuvKHguditWwzraHvYKx leJROSM+EdIOsWOMvdXEJgqyMbBvGozH+ohvMpT6hQrEkIVUh/i73SF2zqF0PsPMUGYX8p6ReeIe ntciHMMqp/VbQ46zyM+MXsKQ24khrYrPEOgQVOv3Tkv1V/E6OOZN9O/AUYlmA0urPBkVASHqcQJ1 yq9XtIZ+bbfBty3HieS5DnWLGGjxi/Y1MR/IE36p1/8kSZUMIOEjCHey5V7n5QTF3orfO0/UF3bb RzeLoYEk2Q2BAOuKaHcL4ELRvgWzlzBZbnxe5MyJi0ImghpUrdR+WdoLa6NhmUDMChRUhY37tmyY K3F2NTSJXOdWVorLqo4I4HQ8tKB1PdK9lSxG1zTUXehLRETccZAAysyjajqLXWecbo9Axfw4A6Ys gkjoshm+J+h/epa0Uuyd4Y+ORr8c6CbJAHDHdnWwRbMyazN6HWJKfUWeexrotZxh53d4L9Fzf2L8 7bti/BX7J5IL+7UuxC4aQ52DVe99cAX8T3MziM13DMMBap2aHIHhhTYQqe7qpVV3A3QttAdI1JMG NI96Csj/04/We9N/m+4MYQO1qItli7IFpclKoij1goGtjDMThOUlkJ/fZPgPkf/7VfCkvfCKLzd6 ZuKyctUFAYhwcXk8Ls8gjyXMX3HgIozQEU/XDwIGc56y2Ey5njjcXKM45UJ56dWcq09ubvTULlsA JLNzF/td2Dg9vyBe6+ANrV2KyoMHU8oWfoC+oZlvlrJuL2tF4AD/JE5Jp1A07JASSzMR78pGx0Bn OqD1ZfP7qGZuR6YzJn6JC0QEjkW7OtxC6GwVOwSR3kwC1LJdySfzqLlX/OFSz113xxpGU9AF7z4j qoWTx3PVzF51lgEM6+zquEqpaRVs9TXB5FoR9iRIZPkWyQKg5K8OzPGj8BBvrHCl3riQul4hLuld q5pbMld2kcfNTfVAkmTpN524RVhL8nSOthn2QtKbSW8UH/5eq5vU3TMRRrrscNLq49D4qYv+VUOf lX009gsjxOO9t0XSm72S8O3cLjtO5S8R0Eaa/rSsoWYwk7+596OXxY9h34GKAFacW/IXRJcgW679 80LiJmzPSGKrInW8MrcUd/z9zRNBFPMUdxtg8vdJfAcGmP+tcCdu09xx7BR3qjPIuMbvFHdMqYBE iYzD9Z29uivDA1U3hRt6AeP8i9CQZhR2AsLXKysEEM2INmsBlZg8dLBRqDOmLePQ9e0scBRChUOX BaPen9IJWOedIXWuvg0LsM7DfV6oGzJKoRMbsc673sezeyVqfus8sOIiE0EsCdZ5G9J5s2lqx+1H ne9U6v67EN4WvaanQBi3sc7VvuQ+RzetaYL3f8SQSJErjhC7HUAuOXm8ymytMIhzZmwC5uzpt0jh 8PuEj8wVAT7QxAQhf67pwGoEeQTg7kQX1Q+eAt5M25hOe0XhEWKFnRC6VaGzfHkSgtDDNWSHKqvR qyKyYG8ROPOkgNCvgSJr/h4JoWfZ0qe7FfV1wsop/du321+9SuAl5oX5fJ4hBzDfSj3WvgXOFKrT B9/5EubRlyuXsevAPLvDNuzIpDcwX5c3B98iAeU8lrjE1lwoZGvjmCDUaD+yte12nEKp8kbD2RbZ 2tuLTwLvDPCgSJg/oR83AyIAVaTuzidqeC+Vb5rFsEzErYAw8mZOxdWsCdcOEXcdgeAP6yfzE4mH uyYTcWuZ5blyIbtvaskRN0m4uNpMB3GEF0cFEbcT2gPhRboX4W+NzXVF1Ii7dVhPwAc5X0Fl37jU 7ReyZeFsxH1M4s/9nMnDdVFL7TMxd8fHR2ktzX8ezcTER46I6hVRMTH0vsNJuoaZGLa+izL7gDBD fM3ELCjMtacWE9s+s2LWEH4+o+i2uj+T6DExdX+WV2HU5VLF867whNq9KaYi0bVjNiD5RxY/7+0Q why4mIoYUOEnHHQKOeLi7mu9g0/gakDnSAQFpYS5KLb9SCSclDBW8Q9e8haivz8CQQlzsgNAPZw7 t6yWMMPz/Q6ghNkKWQbB/apoXMOvZM53faDYUeN5AyXMwTj875kMw/6YimLIdbxHj/W7p9kswB4O 0KLcSAWPCWaQsx7RkShY48Eu3+EQCItNGzVOMMY1+M1saSYY2WNj5eIFktU6E8zic3x8SbO+Eyzs l/A8rywTLCgKm/lJ/MxkLssEi34XodV50RkFcII5afJ7MtyoHxRHTpLwln0tiKetoWVI9rLHCRal MUkbAvh8vzxSEKATTPG4Sckw6/hoexKS4ZULga/Q3GdDXfYogk81vi0Ywq8VcIP0JUMXyvA+BG4S eRLvUP71ERWL+GSOxvqNnLjMnObYindxP+hrbgK8kQkZ1/kag3Kaq4bC54FXdj8GRjCn63et09Zh UK5WvvQ4emcLP1vqqowdvQYOUyprYpJ4iJc476Mo4Hssezd6l3OJFkGQ6NaX1pqkLthbApWWe/KR EL1BjH3CJaS+z+dG72x/yJ4Hn8tBY8WHqNFbMifHKQ22dTDOWtF7i1GJPzp2qCuhTw1eEi5ee3uW svMg7j5zjGrOpX2/eJc0tITpdAYxeLlnFR8PA1L6Rj2VikMUxOWcOZiR70vcD6UrvTyetZznW29d Lt5z8IVFvhY+w1DSk51rjI12VIP1SauUG1PwlYKqbzaMg4ccZPKhsSJnyGkTN0WFmrgfOm3xez+2 1/Pte7X0mEQJbDJ3KS79v74Z9uJMyBKI9lD6kWt02oxB/5nlYuJJ0wFzOoaBqE86Lm+9lFOElawG 511prSYLb+8YHC1Q9LOrZMlIzuIycOqfD7rMlcx9d2RBt40ctdkGPYG674fAxtpF+tSlGKNFhT7r d1UgJZHf+OXjgEXuZ+G1lOhkEKL6Mjw52wE72STv2QKGt0d5yM6llYhkTQAe01xrbbhPtNKKr16B 7no0V3krZRjAnbcV8/E30YQooxO3xeMSi4oCTI7NX9xJfFuuXVIBo2UEItB8v6KtZxRqe9W8GLdy bZJZP5BettcJ63WyKB6hOmem9ytiXcciBzAOp3bU4jInJvdOE+46n7EoXJjlnoLojWEQzXTc/ojr Oik+67HSlwsfK3Dc9Uo+Ne6O0FlxWcbR5FQrofd9GK22liQIDHjqFQdIyQq2CsslP80YgduM9dGe IbXPUHI8dOmRxIIQo6uxklcqMrltRhUk0hW0HTunC6Vd3QNajis830MbUaRR0TXD4RZKBZB2mI45 fyCcP4h/I1MYHod8K3Aeg7AFOkBo/55bZfX0EygJ84k0CRgaqhc4DTejp90Hu0TaAu5hmGTKsY4A OA5uMd6O1wk5aMug1VjUdZrYdk0EraYR4yEkfYPmckSIu7FbU/IbyiHKHiJof1prr/Q8JLu+GDoZ f3vL5DgYuzwDrCaJXQrOfJcCWmsfxmJyqmOOkPuavOd1jdNFn6oZuoqyijp7JQ/sJAB3AdKAnsnE JIjTLL+PWhE5+aKCGAOK57Mt7KYZLxQe3kFdFor5pY8u1YRlqGq5u1vIWhyBt1DiV6yqM1iIKs4P wgPqElBGEevOKAjqCvp2Ioqoy/ikXypQl7km9F8SaaCIkW93qcKB1iNZYEFd3GkZIIosMXqfOqPO Aa/amVjOzB63hpvclrXEuK584V4D2zLAcQ8NhjhtA1Q8sBADFHhlNEF8TnHxEjED0RdG+jil4mdL p5MmMUKzVuzPtuCOnEHEtkL3mxU3qxWx7pojBqFi6SFGEODYw16jmJNQeVoN3KCIM4bxFUvL7tBh vYj3/oNkcI/lrEG1l3KvYvGM2ceetjsxthVniDhj0meseF2M0Y2MWwRlAeMld7sjOBvGSRwRCx5S MOWMVyb28bRQDs/QW7zG/2mRqWx3TW5DZ+E5T+TCHptd56AJ70R2CRNFE6Dgz1jFKrLyw51aDIst N6EGRfVUDwgrkJCcUhBn5vSRd6FgoNLXVA1NJ5dfoKFseRytBy/3rc3vmeiDdRf4PtoLy9zkh1MO dBaFsRe9Mob4CsNZMCl8krGMfKq7RAB61V4xB0lldgRWeGTxpbaE5nGQzNda9E2QPNQMPJOzeVff pxAW2oMUyFBjKcpPZGCoacjEGUhBXCn4G6YrrNXzVgdimn91d0QhenbRcJcNWo+ad3136mL6UpZ3 qYsvGWL6yTeeIBY2pI3Dp1ZfLXXVpBGUPyKA3/kXkXRhqYvNpyUe9Ud2SXypC1VHYVRqzaxTl/Ff uPSWulw+jGfzhslj9ljqCoM7CBKA1k5d1S0R8Ja6+HFPS680lyV9BPrQblZ0drrvNVvCafbhDH/s 9mDelgddtN45EfCgcItL2Fh3MuRFj9nk+M+pvHSaxhyrhsIbbFThFy9HgpddqHvUSoM5IhzDw0Rr NfzS+SGU4JvdXhds32mu+Rowkcnol0vWr8UUb6fsnKOseZl5VzR8/rMF1oN0l3D9M10oO/IT3zep uG+yoy6iUK23HC3FHTKjdskyFbb64Hlu52YBpGr31wLJSl5iyzR10/0FRdAQ3wy0Stq44I8U4uE3 dp9cVgx9fT2IlIzE7N7CrR1Wg0ArIW1sZd/0jHOdHc9MY49sae4rUYnKmEHrjirW4p0unDd14zyu rvhwM8E86uxJ1q2OG6LGgP/vJwJceYsVu0SSRpQD0Scj3PycGPZBKyjPzjFEjyQzf0AnUgcgq7Yh BhcVJRxTBYZ2jTwLkdrpICVhyMfZRjBUtXBE3P/ptBPE9WGoiZODbJCMLN2Y7MQuUiDbAcQ8OxgQ 2ph8PN+i7MQr0FIU3pEnbTLDfgvv7S7e38HhPJ9F0ZTLXIl6BEx7WA97WHzLSkgfVs46A1voUquM f0I7Nkz1dgMHGOFUvNnpSVSTs8czy0XjQaqEAdZoliJFLYKK7MeDVE2BZUfx+1wJnld2Kbjnxj5D Plfc9Qb+NWpVZsCFgr/Eqs/nD5ipLwo/12i6LWAKz+AL8hFcK+keLduR6KIMGCQwk58nLxHXaXWc VxiLewLOepJMYCJC5bI2EENKk4Au0XmYWy4k4yzbbXeMGJcgplkGtRUCoz/+qlBP3I81Tj7DzQ6h DJKHCxdj8QxoMyEZDs1NRMjezMrgs9XyQZ/g1VyhajLPFstkAu/KiwsIedCMMp36OsTfiuPzIHpz wW8z80WLClYp+KK0PXsAghE0C/Exks/sphHHgBK4pdpySIzPhg7WPiKb8nTlIT6wsGw5rwtWPImI 7ut4cFbROU6dKTZYYfPwL79KpXbxIZ2SgpXJMlwOz1Lr/Kvhlhj0tHP2o23k/rGTQHQ6HJvlLGzB UHeJsyWBISpMIdjJDYDOH1g2unRifYU89fktxHvVsZez9HxC9iPKLaPMLZyYxBBDm7m1+lBucbRo y+3HsjiUW1gIYm55fu15DMqtasT5MxHWqLqqJUCv3NqyXb625ULitDC3WJOqv1oJ+cT/7YBEuSVq tMytqQaE6RUXyi3F+Zlb6KpasZB3Xa0sytWMudVauP4xt9Z6Hym3SOeS9RfYZxV/Rkrua/PwKkRz wSL9Hi5tExIi1V2HAHuLWHwU0RrqF0hfv6p3wva232swHESoQfRzosGoohu7P9qHBj9yC6Qi7fnv bJZ4BZTOAVlRp+rqEFt06vxfRrIFVnKgZIxEZOxr/sZuaO6hWZMM31kLNBafQcgeUjHmoS8P0p15 HBYaJr9o2ZPcHTRsmdSoNIGuhq61nT2IEI1Q3HKsnEC31eRxl5Ky4N8EWkmQY6rFYYfjNeZkwybQ 50L3pVKX1edwgW50Jafg6hgFpIKSV7jnZhrT8QB0Fuj+7+NRxLULQbH8++9HkCMAyfQRVHx5XTCC BtjY7SmaRXLLWnb/tK3TCi6lYkKzbEBQshgrxPLMGCFL2l2AF4aIAix6yI4NqKzv9xl21xA93fnW KbvELFWegVDCCyQcLsq18PtmvYxwFScAJnWOaZ5DiN3OpezoYmSkm87cmg7CemVg3Otl+XCIHTbv lWUXTv/BQLx+HoxinMazRjxbnwVXLLXApe4slGXDKpaMImcSxFb26nAISiyEdpNuAQsjG6IpsdCw kgcVlWY29q+uly1pqx2XYq4rJlx5Y5LxF4PnVnNIMrMu8peYoOeuKV2cK0IQNVeqj/WwyCNo31mG HVScLwWvipEF3uaWadBr6IwAFJq1FMgY3h5/8aD+eDXi9MPhO/uRq0fYcKziaE2w+4VcY+4gLKnw V87yfk/u4j+uZWZ8cnOYOyBoPI4YEemWQIqOXHGgJyxP/N1z78ShuhPGgYaC3pSBriSDoMM+SgKY cKBdu8mEX7Idh5BYLWFUjwTBzIHGSr9WtQwWkLGiIx6FtAsASnCgcRZJxpcC5P4fSOjfZWQOdEov IGjoz7yODnSgJ6TwvtavAz3ZvRmkkSUQ9DKWTc9u7z+j1NmpZClbdlKfkYAZYZJmnjWiZeMx2jCX IM27m2Mc9JcHAekyawRhd/iEiLoB/88IqPjOAD1uz1xE0KUNqYcHmRN7q5jBv1K1ePrdHxXYOhbM FN6E0CAcvGdj8N3gEsFurVhEBQwBhwIhXVsDFBMlTYcFnRkSTfEKb8iY0zfJMyPNnDLY52iF+Oob 93EwVp6VxEEPnUzPTaqEEnXCoiLi+7BSn8pfD8vqHhe9ChX1b6crxN58UPrIWLSAw9fvG/IfZ0pt mFxIJ7zWZrVC3mAu2xzW01DXDUuY1eBXt/AVPZerxurJa+xv2fWeRFA/5PmE5to+os79ZTxR/hVd tWkWRRso9jJWMovlZd4xsLNuTzIF8MEynBj5YH8ga4loKc1zIN37IbDF0/3DaIBXywCNXMhHLeZR ZUGMkAw8SS1fXlnEwmAdg9XN3NfLWxvp5JsKQ0Pavpd8IM8QGSSlGO+Aq43VviHoB0P7g/nRqSIj 455fN6XeIvOtaNxTGoG/SqUu361eOUEC87Bte4+L6lI7ZVcZQ72y5dLLjJMNSlxN8kQj0AgHEbkS wiHXrgGdaV2CjxNcA9JVMHrCgErYWAwgF5RCSZw4dRJZIbmMRhAncvmR0XlSx6SVQbkZK78f4VXm Z+dLXD3v4b7Ax65YYt9TYRyuhlE8lMmRoPSOWZfP0idH+GZ2tKBfpw3M/9itqLNyWEQa2HoSqM6S YEhQ50tC/pE7XT6Ugf3JZhnyNr9aP+O7UOfKlvHA5VqbsSwKGQp1DmBQ7vXJ+4HYF82SqPPeCoXl qnN1TSS8Esj/kHLPoDoHPYz7Ra9dvCdR5//9hnc/oUIzYqhznW1YTsaYwY8+rhBRmD5jAdXAeSpS aMXtSMEgQ+9jPFWdtTSoewVrEdR5z/NmUp079P1DHZ1GFNQZdQi7dLbKSWdfhev3hwLCnKf6BLnr IFeiSSD8gJxwYrC724FH05ya3r9HhYGOUgmb4rZBAptfBtJb1Jm/oxbvWbYvVzCfayaO7IRPYBD2 6FcxHNYWk38TmoOM3DIFpRYitMld0CEnxySk2Wnmq47RmWch/Fdp5dCcspv4vby5ajK6UNPfokTG 3AsYL1eY21sLW/COiYuRSKxxP1R4CjRMDoEZX5bN3m/pZ46juiQ6NE+fACjm4K1UayA0S/fVLgMz SKNC6e2BJT90sYBkzY2f1aNIULr5mSGoUTIWmofx/5Ep22olFBGaASUh/P80cwyBgE8XuQC9ICzh pGw3mEpklkfRiDvNyvs58ekOzYHYKBGqO24vMXSzXO55syKG0LxSXD7hLaPfRw2feSWypek2uR0q x9jKbR/W9z9zHIRmN96ii/+ZVXRo9goQj8+ckAvNpLUrWSyVHdHGzBuF3T+zEQrNHAN4/cyvV09Y g5VCc3qx0gAu/cyPFppZBXBgVYCw7EOzlgDc+5mJWGhWLN/rf+ZWLHdbhWaZrFZH/pnNuKZ5aCZS T5MFoKOfeY5Ds54Evn7mlhkKzYBUZVhjsvuZI2Ro9myuJfOZpdxabYZma5G0FoYi/8xxIjT72otB +jNPoA7NoimYF2LRKEPz0JvjYpSi3fUzeYELzbVsUy9msAOxqZ9ZztBsaZlQnjdW107WhuZ81BTP Yzl6oY2ZIdSaHnxmqFDKZwnNs+IUCYzVhuYIbZ4yFHW26BA+NGOdphwdCTrVFFGU7WWlyZzGZJ6M 2Igdu+TuEcwGgRJ1MlfYcrDCsW0bj14O+Da+7GLqh7EfSJhEdarEHEzbqss1M9QI6LJNVrw87Ehl GalivA8yE86LttbFQOG9/bS4aQjdU3sIbFYD9O595mKsNFePaQWIVqyK3jSuva4gnqV3bRUTyBsj qZmaaGq67NtofbHltCWza2azvkUsgst0HzuuI+tSn1cO7MYJ3184/9HS98sqLQekAwQddDTQOTUi TvqUSZaEVrLu+2aQW1fccaggeMPXyhRPN+oIyY4rJjSZaUp1fBQN71OzF+R3hvRI/XBB0dKfe2JV +JDusezeNJBUI5hC6Z0oDmGh//+BRHst0OoJ4UMUV0l2boTMKC5b8hHsj0dkhqJYKTt+1Y9Vcl22 Q6qBWOQezjigDZSpqJ1CzzJgh696W9R7YTlyuUbXLtVDrM4ao1jzyW/xu6QZUphm+40VINIsshr0 zsvaDacK8bhoxUzENFO2GAc3gB505AQTUxq/ljTHoLkim+bNxpd9pAB5EtOmebb/qUGaV0HXLcjm ibbcYt0QCY5C6ADTnAG8ezfXfeOS44sBTfOK/HbLzx0tEh6L3FjED/uKBLza95fXQt/8NrZOPf4L TZGVQ2XgjrPAL89UimW7X+ErSFBraOxqyi72uU5+cey3dNfdZJaWYo4YseWCYvkHMESkJsQcyi+3 GNXaxfQQpzNBQqgCSAwoWRCfOrA5PcwJx/Yb75Mg7EusCTwT14lX5LIWSDuiVmiHhxCe8kdlBrei 6RfnugqzGkLf/s7X7KWgej9MKObw6CnAR4CvQiD6gWWtbsIOZ7KZpufoyZWT+dxUqRqNPWyalMCo CwRnPrb5RxoDWoIVddUKdADVj7IUS9KRVcjpYnpUlmqMU98LXxfFDayrvA3mKze+3EhnE0Ps9Dg0 n32OWsKeDWO9LTcyrKhuS+Y4Rc8GR5gJ9b3JMDBbrZzsKDcZnXbFx+A8TO0fpam1s7aWgjkS3Ppu d924ukZpj2WqKfJvt2qJ9cIP1VeVrzJWLzy3Yen0Ot4d79667VHECJ1LByE6rC9DKJ76rgRTgYvt lSdA/8ybWc33AWNwZm4KIFdGxlZi4vlgxma1TKWkGKOmAC3TDLipqdsPIuaaSwSd89jnoOmuUuq1 MDp6Aw6Z49tA2gH3M3m9eJzPzE3pkG4hlazNkNSP04X2zggjnrI248dk0g49X42y2byBwP1OCUIX 6xsdX+OhKhNhNtWZMHK3wpuKdzxF8NaXlyl3FOezBUKYxVDPq5W1FjMl1urmQTx+vPtfokilD1Hq QpDJQbwLkRuRBPX/IwPZtu9ZZKLLGoT/zZ1Sat5c6IFY1Zvl7FRtFzLYEo2tdRYn9Nlghg0sRgYs 5xI/BGL1JiTOMy4hHcjMMkzQYXLxSumW8GHkTN1wySlhtfDDRCxq9JpB7DL88WBumlyDtPUDmkuJ Z90vYmeuyXtrFRktf53HnrVuzaZRcGi/6mJQCD3J/essYag0QgfwvsPlOw+BkL5k7z5PPxyFYmXi DDevqqxRFclxIgblhS3E3D/pe7fOlgZX+Ge57NzPWKLzL9EGeKfGJbZOk3oK/DQs4puAPQwrCB3v y82pei01nqn88VbcwOfxssBZSSGWeCEd34XtFscGiXSLUY6E6ZftYxKWjAnWbIP3lFFYuLnqjM3m jwrpLHhoNueCVVP3lNttQarawDp3McztpBZyvbj/ZePTaXKOH6BSkstFeoPxMkmZAvzrxT8FriBl gTem2hiapcCYSWdKt7mlfcyJ5Hj0ftsaR6CDal5Ix8oxcEGm+XIIA9G6GNBsd/2xQ6W0bOWD03nF O548FmffVoy8MyqLqZJPDSlvOrnRXDPw9fYZvIPojm62RT1aJlBncVDNLNg+c8+MeRBRlC2M9t9S lKVxNb6k2/h4hp2heojBL2oaR5FFeYDvyd9gx/FPWWJcVBQEzmXDWMzaYXirromjb2Hd+Fq2diea iPKcr8DPp9Xg8/NcO1k85n9N4rNFVjsGlUmxFcGBdzh+C4JtSe6AMVHkwSCrxagvJPx6SAQoGTUY irgYnXTM6ExoIM0Lkcu4xCRn4m8b9ZUiusabzE5p/LkRrvWpeNJGhWyZOOMeyVyEw+33/emuH8P/ yuDttvHib6biO+fBDT00OSax7gAATMS+guUjBp+PHQpKoVNMQK0MpHtlmRZ3eOCWYiIwD2EFHisW ERYQqXHQgnyKvKsjGKWzVzkhS4p7Omcfc7T1pVhKfmi9KTg+kyGr6qpZ4MlksoKn8pKvkO6PEtN6 84flpnkFJ9lQ74s/lQPHA6CWW5MpDiURi0GvfYvVqqxkDcuDjpNNpzhbh4LnB49bQW4fzUdvTReF M+8ahJVb3ysX+1nY9LRnpA+RGI+0ftRlJHQ8lJ4uoH8TzD2bqWWnSBUyaV/LHrVVQA1niJHNRilZ 86e7H6icNZPrNvvuJAci/PP6MbxSDmp4L+PkDzYeIKlf/XDBC6Z0JQJ8YVjusFl8wi2WrxAxZZ7Z 35DE9AtrLL8M/0USwAbkRo4YanX5gJDujfgaS2tLglz/YcJuxIIrAREzqOceLo9ZRuzQZNkaqGCu 9vpstA3XfvlP0T2ck4hPoQjZ8PA1j49PMER9m8LHdIPj+/nWi3vO3j5jmz1cl4URA3/IlCXnlKF4 xIh7zxcpTh5LAnz8hizU+ACQYSQvxVoFmeMFsJJkvjK8Ah+ElJ8sDK7K4tRIQsCzM6n8B+FFq9ug FldHsmHYHa09JPfOqBSyELl+onQuafwAkUkvBptXQ2RnqSBNGH19GHXOHjE/chElz1udH4DG3Hii fdLVPFlUNV7yVtNdDhEWnzY2okovUCPnBM5jmPccVtPj/x41YuhqwrbMthryI7J6XExC4bUk+2fn lJubVESIEZvc1+g3YDXcguqbE5RCCRP2+QL3RzPiZ27U+mCXp/PqFYwm5IQ6+HSEw9pk6syGM2Xl 960YN+TbYWg5wvZOy/eN2aR+Na/y1sB3lCUoixQOF9ayoAQBT5OSLmnx+sL6AOfZ67m+iC9+j27l AoFkJ43iuBoGM7phAJxJukh+Grrnqns8j8XUGe+4ruDmfxyRZzjzY9ePwybnvcRmgY7dx3QXf5ZZ CZe1j5BSGRae5RGtvbEb1Qay9cJ+4wXWgOAXEKMlAFakMdQAXWkQgHnORCSToWD6SOC14KJCgwH1 37BiQkucekx9ghvpDbu8UZe+70ERP1M4m1gmY8k5kxrbCdal0/QNaqAbq3rlctqgsgyZG7OBPA4H MZiyYJBflOKTpbcfrpJIKAYqKeuOl+plrl1q7gQBr1W1lRxYXQoDvNIyVNX8EMQBsOU18prTX5Ic lhWMt9gPGjMlwel/wBEyDFPWZAJgUW8yMCDJeIIqA7F6b352tZkkoNpZX6GWB/lfSobffMAw0r28 d4F0NsA8VZivcfEPzDFDqWo2TbUMWcJI+XLk4OeweYqpZX+e5gLuRPPajp4XMRdoXkDpBqrYCRvQ wEPNP519dLGWHFiY2wigC2BjLbaHoiVZb90YqgdCsx8IEJNJN7wJS6KXvp8apqXajzy1UQhhtFP1 5XcBnv5HMJu22efqS3hi3OuwYEV+ZYsTWJphBDXv3jqcJoMShueMQdDPSSUg/LJSrkIXH0iHyK6X O1N4FMbrkWB/5Eh+z5lRST5zEl+FZA2sNBoaL0FmLGwBm50pdkZ1EYq8uCFMwew/7kC/oQo5cK8n 4pdoF98MvEbFwtIodDq4Blqae6v1Im5nVteUqFeUQMuKVVNpiE4UoAEbrVbBgj9/WPBxPIyvpIxE DQbCxTAu+K6BRR035DAgwDp29+OSj7/1zVFKYp3eTBPliBl4WkCLcRCG06E5t8baxs7NlEFJlwJ2 tKXYp/3w3ZKSpFhZSdef8dzIYI069KCHnPZD6SRTJ8amPzlR4n5LGBsSwzX1/nmsEEGPdFPmhF6E cNtPSuaRjLrvcunFsHGvGLsTzYiQCRpRUKz5511Z1Mjam1I1v9p5hYZr2SuWmaGmwgdpY8eRjQcH vtzTjAmqUQDDgfl9GSizWasIPCLzo4/L0Hxtb0jFhbeZM2Sx5HdyZfynQ56tIUK4A0QdzUrvaNMb Luo9eoatiLczc+VsyHw+jP6RL268LZXIA1quW5nIJpHRP+5nZKF2gET1tiCA2F205Mfz2ggwXVJh eQa71/5Q7huWH8uop4G6SI779GCKekoKLyo2CbR3CfU1fahSLIywGButeCP/1ZmC7PGXbcGiGdzD oahaTLEYi/wifgstvGwc19JqSdkHb+zDpbKT0T/cHPUyhXAELWC4MjwAomXAHhx4zlt99/dEeujG rwSjUFuFhgIbJblksGEpqLSPw+R1M90Yelak6+qBAaHske65WfrPNnEfJE9kjcWNmekoNARoW/Gm q7+bgCiodPgIsGpipFJG8z+5Uhgo3wpkTyEnKNfQ0QBgy3z7hMYE1bZuO3XpS8m6v1PFvS5FYQeQ n/CYi0NbqFiydCgjq0EkdlG1BgBKopcZXgMHAaAfqXX2BgOnQB6AR9efpmWTeZOXW28y7MgLU83p hGsKDfoM7wxli5nf6fZvG5L+v19P3rW3bdyBgwNZ4t6yhuWUEk1MmPZkJCo45uq/65nb1CpYa//4 dcRjpT6kdHDM+MGEN6yw/efv8IUfwlyr6WwPbFSVE/IukJd7tZZKB15+GvvXpfuF4q77WwQHHU23 nrUK5UqFRqGM9U0PFugOE1aeDcpofMKCmumn65ofg60g1OA8FndbFHIoH+xE/9wu/zJD2H6dhSsl LSletrclLll10okW5ZSNP5uSasJOMjZQadYmsthIrPcG72eiQAXwh4EXcv2ivuNTvwpOFIbNjzwD llejmWxBv5vAOHzd5ASy6EGF7llIKfErIeIKoFpS3Bc+UaIbmoRIWzIcybjyEJYPEhHGF2Q+AmpY n38N1GPDyEI3JDI2m5d7AdOzXyFAOdb1j/F4WfIUGly+3Wpw6ey9vIPKEW0oSku/XBb4WhkYlHp1 kKkjxbLXhuOFSoFBncpXPuNJX01dN5mxQ8eL26ftwRGN6XCt1vtyDmK1V0yowHOGHbXFQj3OiDCJ u7JB1/0VXykLrlTNjlDl3epgeoO2d021noezdJ1FnOZdnh0W771OpM4/tPAQBBmLiRKFIvEtAyEr agA8C9y9w8tkcYFhqAu01KlzkWlLwOrQgSmYlrnkHOdEulIwe4SS1GuxRkh+/afpYZzIaeLgI6sB om2BNsYJ+31o/gFNq9bzK/wPpQr3fxJgAT0xejh9lSvEotlrXOQHpIM58F70TFCTAfmPOEmp1zJX n52cPxNoJSIlB9NDXLkncyDQ86d4eiXJZvRAPTb5w7/acH4zJIhR2tFXG+g3cwXW7b0iBmchlatq UJEBVeiOIef7yJ08FFkkRtqjVhBmx5Iygu2iK1RLLjGbenmn7HxvDBd8mF7+uysqlj1E6qb4fUJw IxVOVElL72Sm/Xov3U3Jvcp8g7JEAY1JON2EF7RtJEhXBGuprHaO78naLwHGubDYS21895cGE72r gStzW+5TRRKa31BKJjqHpEx4sPKmWNIDkfEuq37jYzvjmvT8YrKbVuLjXkoOHVHBcPbxBQmxXcYE Zx3vQVwYOW1I9/TLxs90YhoaNzUvIisTDkj0rs5CurOaRiMriNZtFFkwTytUtWYHccYOY0r17RmA TZSFD0Z66KoeD/90U6apPAvVRdcuJwIoPG7W+3aPiuOSJOE9CFFZYrb0LDA7Qm9HgTODPWnbPFhX Xtm8KgsQ343eARg+kvNAiAgDhDk6Lg+6FN9c1ROIcxbcrIT8S0fR6tSRUUfjjcccCMrHsJdY6HQw L3v4K11SsvlFV0MPPeU66yPk4enCeZlPldr1g/y1LQviIxIpFOHOTBB3SBzH1O588oGVSp0iMPJF mrPI61wxE3/XtI+kAE/0pztUgyWh97GjcTGxtkSRbzQyoqtgeMOk3G4i0WwCLe7wuLE4JXvADuaC LSGCoLL/bF6Lwra+soe5Ckm70SUbMb1NBDBpRu0IewDfUgV2AShdGRdBdOUBn07NYJRFtkrlXokj i1FoRM5sdmQAo5FoaXMt4r/QlxI85hPEEGyp8TtXTW8APCGGXDzkyGdji9IRJZJ8BLXUKMgDrCYG SaU9urglL5OnK8QSUAiLGcRoBrIcWSZo0nFTZsu+HsTt7nsTdAu+N+dvdUMHeGv+25iytlmcB+yj gR971kHMlPVrwUhZVes/fu1TKcWC8uQyKYaqOY8nLRCcl1jukxyh0ULfecXlhH38r/OPXR0exMEK bNo6OLC8fAIAhbTWA3iTUMBTOswPEoKS/VVb+iHvfbmMWzMU9MzHc1udepRFh5qpjYokiL2gMQId 214hSX2BhIUh8K4fCz1fi6BPxi2O65vDUnfVLzSDOnl2JTwF0GuyaMk9bkf1rjq4dj7+HaD9gRjU ZfZQvkyXqqZQotHxZEbDRz97mWRH2BNwCJ4al3UU8Bwr2NqNCpsCaiguH6ysbjzCFIoXUWBY1+rp 1W1WiHDPogoQhQOjtwE0iNd8Wd1hJ0lr2N50C3oLaKNKhTo5KLt0oHgd3aVNS4s25gHVdfXikcCD eVKD9CpPyRsAJ4GTym0qGKLu4wYaevHwKNilGB1LUMzK2sWd2G6ek54mUR9l0c2ARCtOv3K6IHfQ VVu+yYzCrXCkCqGwSZsfd22VDCNvHj6YamupshhsT53JPAk3QiSiWYR3d4KeVnO+7Frdmew6hrAS h8mfGUOISZ9pXxtPeQusbymfHNC/JZXPtc+UKL0gay4oeswIrQ0cMvkDEaMJFRufFvdGCkVvFmQP xfGfmIZSAix9nVzzeBDnCq+wD+QDnGgK1/HJNCbFqHBQFs+IXvFCRdZ2rnOSVesxtEdLUUiw4Yha sMe0xupkZ0k5Aa3+kT+mK6kpW4Y/AYiQHudgTwRmX6uRxGob031z1NwW2JRc3SuGsieTeJsCsPkj 2laClScwmhBL8k+ptfwBhwfHEv/BhbhAqQMZmNXjgYFKYDGERsSC6I6DJBF/pf8n7gcVELnAfs6T nFu8QP6lbRiE3Xmxw6QESwm4hMx6AeM7jnlWwFlidDQIZjUOwZTeMsK7pkgZ4263tFzIspQkFhaK Pn9qtFsFtmL/GePunyUCxq4rml6zfe/3jUuInOFkpYT7zx/mf0kAof6jBuUE/4Xmh3dkSR6BWKqH 3sYk3ogjwQkCN5/T24vpEbJ13ES1hfIMact4zi0C6qq0ppa4lD9J49AdCymbvuLq6SEpYUwPIMvT x3rfV+2rDAt0q1YK2vSgfvv0q5LN3p7DsAWQxGAwKcn9ZEr0r2upAJBistfOiM4xdzCDw7xvcI+q xdMOhPDn9dEO70cjasGpBWPsHmQSwsxZRxhLA2HPEJQAbBu/aQe4WjEadE2E1HDtMkoZZGNarwBi eqCDjjMB8hhU7v8D8tKbohdtT6GrijsTYAEIqtJqKGGylF8zB6lTTIrEedJa1NnFITM392VZT+1o ERhv7Y/rULeapEqS5IcMAIO0yT6l4332ZmtPgAR9upAkUFvtHqNl037nJiEZB0+osVPd7lzuFhJ0 xyQuu1HWrAFblDW3jWZGgmaXH0Hz8gJakEWEkg6i//qhO0DJQFZtyINO2HVvs68BzXi5vBDMuOKZ mL/EnjL/iVQTNpSkXn8CRkVrAvyuyY0UgVvng5W5ubONqvt5SciAq6JkJgU8offHL7LilWzIYmOv Iux22LQKCjyR34G3G8Qb8SxQpyBB7TrHQ41THSMzc06BsjuBhbgjHnALkz/OkWCp4Q9HKksYFVam diIWDiibwVo6S6o8cVtO1hAEPKqcoh1DCCEF3QKtrFwLHXcYLnM+RzRv6LbgusIEmRKlx0sUxHam OzRAahbMa3qvua7W1w/9A+lF27TTJLR6OxSJGZrXjAJR2IbaCILw1Vxpg8RHIsSDQYhGwC39rAO/ 1NDjCEovBsnN1Sq0hK9luzwSG5sjxI07Hc3LD2QAIDocXSFFwlr6Vzt67PR9MyCImln7A0SzFrEQ okL7nFVbEkw8/ld9/FRD6CV8LIRqHFxj0jCpjeQL0CMgf1pew4cqi2Mhulyu6C6NkMxndXV+tp4f g4ix2JHkjpFvKRm1RBQsW7qW2bibVZbM2ufh/jZ46KWCQrC/Z4CecRsuwdAf1HXCa7gF5jsI64d3 hiDvkRCK8XnNSK7ysmhMOsRUmYx5DTCjjWRcjk4LM2PAhJAE+mkKzqRiX3mjHj2rhN+tEX2BfC/8 jHHwflRk9QLztpl8LHh77zm2afcqBNzFxO6V8jrgbgRStwQ9yLlxSLre5K2bYLhadpvnDLPPnbFd N7tHJwbgWPlGqWSyiKF5L55SusQ8O+38BhMA9kWQYv7U2vd2+M93/5j6eOfXUv7D3ndz/sfTV6Hw B4S92+d/F6/0Pk67Y5dY58Un+4JVb1rp5Odeovw+rojhizHge4Pg9fUWpb/LVeummrft2PLq18F2 WsM/5xAAFJQcavTSfw3tnR7cl1eOWt39+xsTE/S3+KF/AkFxwHbW2igWSH8zyyWQDsaEKt1NE3OD Lju3FIShHGpsdIDyHZxoXw5ERAssABYsRmnntx3KCLtAhcGFSYEomaoNfIiNQ2ck9nEma8Kp/xXT XK84RwZevPd34sC6Y31/PXbLt/TVaKxmSPOHoFp3HTFqIQchZqcgBL9Qj6Y68CO1gI7JxcQCQIE7 ln5BY3C6RWdegayCzxv9rSHBzUi/Bfv+WZGpyyWcopEyDRwEegoKasqIwF2/iwJSP6yjZSaBVezA jfq/ITNNnhzoNqRcec5DNKoR6T8EMKHcvL4wX5Ah/gVitcN5YlZtACKJK+XauCysq6OT8ZhbQZ1P SSqW8ikLeLfMmMslbuIp5DQ6atEPubdNo5qW0qP9OSUmjpQTG6H6r6nXLp28posOwlXr0E63Dvsm VEr171QNiRotLvmasKDYZPK0hf2ZFIkr1OTSQRT1EPWlBxFSe0WVEdFIti2Cqc+bozhY/womtip6 BT8t7afOLH/qNQh/vTX6z2akd2KApBfNYQDqhsgXLaDGsnLAZouxe4BLpFVfd1t7bAsKPI9g3OKy JcldEZFoc7RZv7rJ8XLUezle4ecBVQFJARaIj5OKDe9Eio5gEjRAKRlRgaAaAicX9VAAKHPysUE0 iXCRmBDHBptilFEHkQ/zGA2QsSBcKqlMI5ADFouGPiigY8RCyRMSIeCAgwAMlEqeUANJiYXHAY2D hM+DCggHGP4jkoGAwYfDNSB4KDSQKOHJMywDAwQZCAvGiYTG0sGxoLFcFOZBgowmokKJKsiQbHQ2 cEGFlgxYnOBUqlBhAoEGQgM5JI2NjcfHI0M1HRY2Ohd1UUrDOg+JHBebzXSxwQgRn4sImomLDOdi ktjgfSQmBA4KMWGAE8EiHzgcDKYEIWBYImRzdx4ICAL5cKISQowDhkoIk4gQ+aBQBnLAQUNGDKAI I42f9v6iIjRsIiwd24mwFDiR0Fg0TiQ0FgKgCIzlw8HGB4UJEBYLHwgPhxER0gsQByI5MpxTlYwC CToaBgjoLAWIoUI5KDISbDgw24EMk4OGvagQTAFRhyFF07ABkCxQQBQNipMJy4kWbAD40JiQARQQ aTBBIOOAZisyOjSwgYoGhKsQdTg+AnRMeDRcdLaCYUJEK3CYLNgsUM8EEAcSUOXXQjvYA5QJkBYK lT4pJaQGBRTE2qzFdiVxQMfCNCYjOWrokMhPBEZ+SARQKCiAfFBoJuNigxkITyek85AZDhMFBjjM QKRJUBMz5k0R2U+T+bV0NS2muewTUfF2deVio2oiMr5lrqZvuraxZMv8H/OQuZrWN8Zz3MX6El1N a9PVnRFx85hts1tuNTW/zl3u2Zns/7Mdy1bTymXMuf3P8t51sfbG6P/N19/UtLYhJ7MiIh+zpse2 1Wh9Kus2Iqrfoy6mjbV+REx2iq6r6K+H31jqL/Lh0l9krTP5la26Mzxc38mdmK05N87D1d7Z3J69 Nm57uH7T2b5rJjZ2uBhmIzPWfkf9Q8WxUKl01qsLHwtVZ6ESuaiVUkcEVwaEWZxVkdFg2vjYlDob kYuy6CxUpGllQBg1Mi1cyBYuxnS55vouIVmIZEJ4Li7qoiLuoi7qohoO4zwSUFTBmxCF0MPDw8OG ZoNaKikIqXCwZEJCMpnMR0gGJJPJkEB4xKMCAzEYzOWBdMJB4KFSgcFcFAZzUZuTZ9iLcnBwCMrc VU8jMB/dNvH9mdvprydrVGSZx73eUrF/d5cZHpuQQhOHEyKJJkWWjOEyVvb7JvH1q957U6PFtP8b H7Zd/AzPt7U91LRYIzY85F2di6h6uE151mc338aIzW9TFyM6334vpon6eI++NpfxLyN2O0Z2ua4m 10PVxe2WXXmcWXO8bG2nzdW0fBmR8/b1FXHxml2N9h65+9ZbG4FKoI4CKyXQikfKAhKoVAKyoAAF JFoRkTJSdOGEJAXlY5n2/2u75umo6fz/WwqtkEIeZ2deLyFZhEQdHE5jIyYi86lvKYRSQgJhcDgh A0QThyMCiVBQLDgcEQgjclGpokgw+VpuMk1VPEVWJIvp//7563ptqIwd+yoSfF7U9Vbm3frYs+X7 zBnrf/bzbw1/keX36m02NVq8ytpy//deemvXyNTG4nVhMV4UVi6NlQsC6sNhcblcLipkAqpwIWWC ygqVUlZUQiWTFTIBVQitgFbIAJCKiSqFUESgEoOIiKnEs+fpnqu/k70XWR9mL/1vyd25qjybzbq0 szW6ovZi3lb0/ne9fF2L//fc67Ozqbf/7mu4yrOS85uzRMw8bb2eOW6y/7Pr1qx3eSNjnP+Pfd36 V43+uPVivbyK/799LJmEeZsWn7uPeqTZLbLysL9jJ+I2R1/kbC29WSfDRUR2rqpIGNevOX1Hes3V 95aZ2UdN3nhZTXrfenU71G3+mIjb99ubq6bF26282Zznq2pa+snOva187932/463LdW0/lhjS1md v/0//20nu+1d3XyzGyJmX3qqSVOXssVsiIhtbz3VxDZ38a+xMve13cXO7X3///dS+dgy+n2uGv01 s3ZNV22OLJCQdCgoAoJeqOKTkimnzIiIyIikSdIBsgkShsNADqZZ3CniAxJA8FiOBFGQhRRDCBlD DCEiIiIiIhKIiIxUHUg7fGQXaAguGrNCibIV6nVwjaQavKL+F5PUhhub3UwqZ+Hqfkv4D/QdGKKG azvaEX0VW7mj7yrHiSogN0aqEe1AHmEeXjFOagdOkmcg4Bxh2C4I9RwKhWepMAqhGf5kcOOBkHFn rPiZYqY5SHrpp2irAHYIW1BsHQvKVKdQ1E9b6HCsgNv1n5qdcdgORPfJWLQMEBBSGJP2oAEORWiT bLQdyfwEFq2TEbecWmJ6SQL69VTzQXHo7fuOROVyaIrVppUjSgr6O9ZgIaTdYv64icLLEKhrdSEc 2qzOzSVrVerMuDVxvxfLvSHfFjRqL2pS9ahNBN5NDsGTJ9UZc7K/2yXf40hloyr4HnYQdIh2+PNQ yw3nAgYSGhRVW+c/fYjp/VzNTJATDKGMu+WfSJKua064hiWS6tWIi46gu1A01S67XT7kRG69zhcq MqEyxVIhot8gC/WLy8oaRUuUGbjqHgDBGEwcL+hPmGvXGbYddvZvQED0jRS2p278GoTbn2eM0ZX7 5tYoEY6WntJmL0+m/mjj/wfFsF0EGXSDMb3cWVfibZsa3AneD9B7AjuoelTK+o9CJSr0aU5Gz4AY 6cV1TiYmtYiuxLuKTjiwRBlFHUMxNOq1Vm8YCrGA+ugWqnRKowr35GlEIGaKAj/3EeNc6rnFWk7j 8O+ov48r9HKUWooFNJ05WueoZAdIl/eDJRaGZPHt9yVk4bbUZkkIGs3Y6Qpxy0ZTChwKr3BgGUQn HVg2gaEQLR0r/CigqUFERdU/jUhWoElsbuAGtgFthZt97SEuYJO4q7okIAIwQ/9wGgRONHHQez6g Ye2Gu4w0aEGlobhxnvZJmSbpVW/QSbjrzHv1qffwq7e/0ph1NEy96i/EUb2vXnmZGaDqKd0AxP+3 kI056kh1zFFqGoW/OKq5+iD+Vf3mh2L1U/PIUS0BkJ1mJuMkBRs/maPWNap/v7/G30jwNGpOHKDo eY4SiErMR6WrRk2EOQryDlJYFnawWqKB5+/c3q6KM8YxS3Z3vqhFWqbCK+eVgZftnIiPsOngPop8 UcF8oANTv4k3V1v5AGbZvYQ6lY+60E2ApDatKlwSFienBG9zRA6Q1cgv5oWEMyWoxLDnsmJaZ+oR /EE5JPY9WS6z+xjPNAGUxGWB4V+9UrqgP1MFWcTRmQ/8cBYAjTeoAUKF5V/P5aaXd6bQjohC1EhO 3kj2NPSqVKgGMDIVONwi20TPLfLJ/c1Kp7BUT4QaScl4MwMzW8ikQm6jekTGL5tuVsafI6gz7QJo iLAkfgVsoHSTDCgrTULYYiaMKmzQ7JDuMcX/mNFFWsEn2BTg/hpTnpJ+IUiJZbyw9OCtxQ/juRaf kA48URHXJhsTc7hJfGV9oKU0nch7V/Yrgnfm8yGCstIMrQjGj+MH/IZfIIQnEZoDpIIvpwgfA+Iw baEfQB0CphqL4Y/A8BsZyv0bpldEjArasEUrEBV28c8PW/B7KPTuWfHuDHcCV9rU2bOC4Iv/c2QQ vnOXWJPnHmJmroD5/I8rA8JHd5D9sO2o9hqUTq///rzFFf3Thr7THk/+JnWMx+UVlZ7ZyMcYODSJ Vf/akqglKcwlpBAqW4VeN6RL9pZ0PNP/WXnfV+SEeM9mtBeKLP1gDqDpuTuV5hU4GkIQN8E/Srcl 9EfTxqa348pqLZjntrE31T2kOvrgzclSJZvsp/lS/dnLCBHbNNNnz4g0LYOgPdZyJpvsSOwFnGzp Mq0cM+Asyg0fvRcepfmI/0KxM+HRBB+1vmbPCo+8fQRpT/SJe/jI6c8jiLaS2sRN1SXhXxnd4I9v vj4EXj+KHr1RbnGHnCjK2CJWE/nDUAQIM4ZhbzpADVqGfyhZeNm9NPmA1Av/Yvu+7+/G6600Nji5 gWVqYZG7tE33ckdsFrp4DLyOEDCVpbcFko68+lFs5cZar/c8t3Ehr03bwT/AZ0epmhonM4ZWZbIE VBdsBVxP4TWoc73DkB8kLhh5qdJkmib4qdU2QSssAW+MV93HdFXbeRTOxZjCDa6sBaU/w1iSRXxj 9BCgtY9zutkhkdGcW5SPTEfEAAU=

In vitro toxicology

Early screens for toxicity liability risks to select the best compounds for lead optimization.

Learn more
KLUv/QBY3DwDKjzDpCOQRKT57/Ext4wdkICQAACAqirgALWY6np9DxUAAAAAAQAAQNoJZgppCgEC MPAbDhCA8RuxOsdnKxROFw70HBMA5zAbz3YMxhkBGvlMJd95Dt+sWX6tGnged+JZBcs3HMDDOcyC 8zgG33cK5iccgI5ZNb2IWTU9xwQMDjGrxlguIvCVs+SQgFq163tFvaCO+Ls/1Pks3SbpYWuwYJsM YTgc63lt4/IMf7LNKud6dXvXls9q2KqmYa55FpPx7Y5t2N5O1fa3u57r1ca64VqV3/B2ml/8Yzyr tjiH5xqXN9bm8Y0l365twIqOb9jGafjOt3OS5q3Y4s3THF8uOZbQdQDyXUv+rF7nOV5HH8PqO8fv vDPPM3eSwsANcYDlGd7knIbJPs/xGgqI8y2m5Tmf1X0F25mSLH/Yii2zWR3DcSRje4Dn+3H0v5tj jsusi5YBiGWQKeYdmf6wYk44jmTeii3+k3920Wm8gt28FVvoOL7f0hzFGG+1MnAuIPZscYDbByAP iCt4HuN4Gs8qOL9rW0AL5iuZPWyN0f+SNPFbdsN/muMZq/O8VkWTRderuCMgZtGTO55n2yia5Xl+ 3ZelXXtascWLZ7n505s5Ld/2HQeotzjAHePxbce5gHae45X0obmZ5edD0VzR8AyrtgCLu+N0Lbvi exMQz3asXm22PK9aW/d1rYKbd9HyC5dpGHTX9ezGAeQcnmNUp+W0XGvGRZzDeWdALs+ySsZlUP5y yRwUS77fbs/sWrPFLnjmomFLTk/ATYxjMGbLYzy+Ndsdb5v3k/SwuWj5zjsxq17J9AfcEKbYTGbF F9LhhceX0aM6TbEhApDvOMdhzpbP7HyW2c5JethmOOaAW+/hgBumazlfyYwNRHUanMPsyaJblPjF n+OyRdVoK42mBSBSaeI8j2dYw6LbxtaKWXDTGqDGEm1+8xpHtHWNtXUTabts3W8AbH4b2PpG2bo2 QLR1LRVtffym93385Sj6fn59E/0XT/97SZ5iN78/Se/DUDz9WZLn2cs/+l+eYvl1jbN1DRZlth7P dkzugJpii2MwBtwQpnyewa2YJR00xkYDUNMVUMPjeUDeye+URbesquFq13AV1WkdFdVtvfutjxu5 +e1vPjTPPorlJ01y9N9/fRPNspOn76c4/jL0X9/GsRxF8Z9kKJ5h+fWNNEvvSfL8YyfNkPz6dnY/ jicpdpEUxZL8+lb+L5LhN0/y6xpJu1VUt4kaqmmadpqu79///7U1ZDXNNE9T66pmsuEX//jJX37z nz/96l8/+9vv/h768IdhKIZjSIZlaIZnmIZqqK0hG7ZhG7phF734xVAUxVEkxVI0xVNMRVVcRVZs RVfsox//GI7iOI7kWI7meI7pqI7ryI7t6I6d9OQntZAUyZEkyZI0yZNMSZVcSZZsSZfspS9/GZZi OZZjSZZlaZZnmZZquZZs2ZZu2U1vfjM0RXM0SbM0TfM0tZQ1W9M1++nPf4aneI4neZaneZ5neqrn erJne7pnT3360zAV0zEl0zI10zNNU5VN29RNu6p59auhKqqjSqqlaqqnmqqquqqs2qqu2le//jVc xXVcybVczfVc01Vd15Vd29VdO+vZz4asyI4syZasyWonm7Iqu7Is27Iu21vf/jZsw1Zsx5Zsy9Zs zzZt1XZt2bZt3ba73v1u6Iru6JJu6Zru6aau6q4u67au67Kqqp5qqY5qqHrVTdk0Tc2UTEX2VM/z LE/x/Gc/W1M1T1MrzdH8Zjfbci3TsixH9yRLv47paI7kKLpmuIaaGp7rV0fvamkpht97VktP8yzD 85ukOWr+LE01JTWSHMnRkz4dz1ZctZ+Gp0r+8aspOWq/t2NrsppanmHpV3LVTtIky5EMyd+SfjS/ qHm//tQUf/h/q41ebDubkmIPfe+o9tXvu+q27KqpaZqm6ZmeqZmaZUqmZDqKaZiGP/WpT3vqnu7Z nu3Jnuy5nuupnumZntpZnuRJnuMpnuIZnv/0Zz/76Zqu2Zrsaqpmap6maZZmaZLmaIpmaH7zm97s Zjfdsi3Zci01tUzLszTLsiTLsRTLsPylL3vpki7ZkiypkiqZkidpkiRJkiIZkp/0ZCfdkR3XUR3P 0RzLcRzHURzD8Y9aH12xFVlxFVUxFU+xFElxFEUxFL3YRTdsQzZcQzU8QzMsQzIcQzEMwx/20P3t Z7/603/+85ef/OMXvxZ+//3v3/WsX/3qVZ/605/e9KUnvehDH/rvve/e7W1fu9rTfvazm73sZB/7 2MUe9t9975pDI2ksdftb3zSEa2PFMZimP4eNkdOxzILvl1Y3v1iMnQ0R2/Crs7HoWW3H6jXO5Vln u2MWLbdeOawR5TENz5qclmHLDdPwHAeQLTiLjmd1ewWQ81Vs43e8kl82fLvkeYbX/E7zO33lsIbO 3HUus9qN1uAq2XLYEBtdyy16sr1WOQxA7GK121zXnrmuPdsLn93qdsd5Dq/iHB/QieeVnN+wJobL c62KDejY9RwHoNvYXbdi9rAhtviGZxdhy/B32BAuWl7Bt2c7bIh8FQ+oMhsrDkC+63wVgw5a3aIn 9qy+X1p2zWYNysRoLlrOafnW0DUGZc/yuOOq5/rWdJ2G53Qci9Uri267Tutcvt4vK+rTcZ7Ds/tF b46eLM/zn/2f3nfzM7dfsuT7Pf9iK0VxwaBll3xnYhes6UoAYhk0smIUi24BiHOYvuN8TlGln6Sd Zo4bSf7NNM+N9KXfOkmeG3n6xcaIZVDtoWM7g+p+Ez8jd6ECoFoyKqfjnK5XFC27YhVVevyOB8CW 2Axj5rO5xmNOHrtu2OPh2c3vFDXOMau+nJO00/zGiGd41YldN2xBiX+SdtrfGHgu0587nmec3kWx k99pTNeYjQFALAeI/bmNnz/L7Yc+/LM8fv57P27j9/0Y5/Bsx2KP+LvHYTccs+sbYaJr2RVzSIe+ MdSX03Va3xi4i5bzPO7ELjg2QZWTtNM2RuyC8Q8qnKSdRnq/Me5YFZthWLM8U1HfT1K/5XDsrt14 ll3UOEk7DbaCZ3UDoJ7neLTBOR274MtGwwPWjYHf9VyvOB6v6luT03FstqrZrtPCkDTF8Ie9m/0z w3MTz+4/SYa9d/+Z/dxCb5ZjSf7zPP/5jeZmiuRphud5nqb54TFHlnSddobndvZzG81t9H5jCKhV Fy2z6Fmtdp0WmiHpN0YcgIzjcAAaXrtOEz+D9Nv4+we9B0u/MeIcZulaRrgC4N/oF/Fs3zPNtthc tEzH8b3Ct4pmqwPIATZ6glJfzrbYxN+9APF3vy02nK5Xky3OZVwVh7bFhsd3HBvQOWyMeM5lT9dp iMOGkGk5xkoPG+Ou3a7T/Pe/828MupbxOwahzEnadVr/xL8hOIe7zuE7x2fzPNk2xl3ncHyvXadt /QsXsapmpYuOhusCEK8l+Y/CK/xH4TttkGdKLSexWL1C5Q1f3NT6TmtP9lpqPa0YobgKlBgIsK9F MkOr1yAO3XnRSKdxUVw8IEgogi0VD/HYDKfTZpY04VUOrGAMZBBPzFCS3hVSkq75vJJQhXosXqsh 1UMGu26kdFlBg3qbzZpYrC2Kep22uXhg2BHB7g6oCc+S3hNNDNj4BXZs/ALV72EdbLRmpAnfaSvJ wOqxgmbSIYrLw/A5mXdywlBvxWvV67SDosDqMQonsikIHJ0GY0/GF4iSvoazG3wkZgQO/eAcCMaF N+5bJQ00+ZohDzzdJPrijfvuNNTF+oyhCmS6G5fXxE94o2F5iUQNiDUhXhPvtBHeKL3bNfEP3ghH 5+G/ZspIpHqnKTQPwyd8Tvwa4KINxkRwjvvutFd5iA3h6H5fkvCmVCAQ1oUdTOuTUI2QJgzInyFV t3+wK8AJHVEEY+1EKJJ4SYNCgeUZKYTqIYODi6NlCb/NSLzvmegBdgNtXsD5nUmQA+I14uAXo4yo ZwgHqNdp4SWzangLzcPwBTcMNbtbQZrwg0KB1Rf+o/CCG1W4dBohxGEV3MphFd/AS8F5Bl4KbnRS FtwKQz2OkCCdWj10oic/kxHEf/7euKcZFAPWp/nylO+afHf1XtJP+oEiBENF5cD0ZUQ924Gw0QJH KbB6wsGKBkohyMQVEQOOEDjuW8DTHyIxFxeFAe+0U6kxD5oRaICTOEfYJk5PYiZOGIj2s/tFch72 iPIV+d0BgbCuhzBmRwT7gOLC749zUBi56atQhN6FphS3zPZngFAx5mSTiwSFE2N2WgXfN4FzWDom xEkEBqwTuRnAylZG5M3TvereikxiPIvT3e2EbEw9PPTLdKNuWLgZO811nBSWl0gseQ2INd2kgYbM FF8TJTBMh8MmEoq610RY0FnpDuGNThvN/msaDBoSHijdtC+wOmF0Hr6Hdk0IhjuAWJtQh3eaYDJg eJl6K84Ichcjit1SIXh8EbziKekGyVCUkuUzIiVMGtOItbSpfilJDqjh37ESJaMXE1R8cp16p4Xm mYnZA5gP4mFsQIRZzLipm6VOU7QGTL0suaxxNMCK6sfABJYx9U5DkEYBk2lzQrXoZVHykCtKIbEI cLYCCfXMmwvgtSVDHZMLXhSIIfCtPr83zGNBAooNkpVmqwv0cETcTxdaBPjCEXbeh9AtDrsC6q8q tXl1Os1FG0CZmuM5IARImFhSMczQCAZFVgR4pwkQqE5fkLgBqNMVpB524kqnfQaTUgkNjc4LNstw MPdApNMYssmmDWUiXGFymhKXzgqYIe7SVwGx004uC1YOSBOGx73EmGjKw2IEC5AsoBf1Og3l4Vjs ssDqfwFzyDqWeL/A6p7gliStkiQ6Itj9orR0h4B4352Wibhig+dL3s8rthQehLfTPgKDt6fWCw3r JKvWhsWI3RlzBXinbVSP20ujxg3qEAZkpKK6vdNqscDqlxkpG4ywK8Avie520ciFlVowcRoJBqQH ybuNaXun5WuB1duFKcItJgmWoHacwnUF+ECDwx41wJ2G+AVWz73SpDs4GCRhzIcXc2INh2fqtI3r O7wSQmxVacK/sWpAvArci3oz0xJ+DnHV8DKIlRtnboHVR+UhNnBdanZ3mqLNa4anQYgDFNHBGVZN StLtGCvkCrOJH6m/0w4dEey1ixRydW6xfCCho9CpHxIFx4z6VPiYqzXl6TTRJxMKGwfGKfFou+Nb W31+R9RrwYzHg7GsADV81mDi8DVGSbon1bGkGXTjhh/W5JJuHBEMaIClPhEOLn0/QrK0+mwAgvoS DqTwL8egXpD4oWPwWu00cfQAu41YuXHuDhdORwQ7RyFaVCCT91yhFGd22jxzY2+I4OoRBsG5MNTj OgMvBRdpSwsugXEguMy38riL+xVcjv/7xi25aQk/TvZoIho1hvgLWeySThovRkRGUcdIp60wgf2y VYEBKeDrE0GcRC8EDQU17HCTChuyXLx2pt4xO0iQqGemRtSDUFKSDSHExU9RmvQOGSF/8wolqecm JemGHpxup1VCpCRdDTkYyRMDd+h9wJij7Z6RK8B2aNPdYlKkJBUcIPcteTwMH1Y/UI87LeHXaSMW SsEpcMmB67hfwZFYKAXXfSuPkwy8FJzMYxu6h291z4i2n6AQeKWXD6GJrKcXAxbw/vIVWDZG7tjX dEipoXRwZXl4nXbBPy5uECs3hvkL4qUceMGXKdjsgzBpBaY+sxKxgBTTmnIzq/StP3VtZ6wB22ll f7Tdu0gr8PbE0yO9PAg7aT+tiADMFWBrW75DBcvR9gSHtALxTzy9ms2YGI/WCPmLWCjVFfZd8AKs A4TNFDAptfStofaXJCGHZMTBr9Pszoh6h9ED7P/SFxwruii4DmPmcV8rheBe8kvBnQIYBOeAoR7H MYAL7iEJEdyL5Dy8z9g4xH/xwM75fYxwEBdGhOJJFULCDH2lAnKCAVGSS+U7TUYLCiFOOlL/oAFp Ip2R5eGRqRH1WD0MlbWbWjgEYqQAaYamGg4QJCca6RRYHU1lICKMHVGPHRVY3XDxwA6qQBCvTI2o 12mKLWbVq5gdzclk7aTgxti8n6SglguIPd5P0saqttQrun1BnY/Lq/jWtFwa0QvqCIg9rFgVa19Q h77jSp3P0hfUyXHYwnrYF9SBbTyOwZgX1MFVs05O1+4L6qTxPNcrWr7nmFXHWLb9zTk+5zjLtucc v22b9d22fY6i6ctyjF1wTP5uu5u3bd9xAPlmtwGqjRXTcitmDwB8t23Xr++27e+2bdol4zFL9fGu qgdq+55XK3hWffec07F8B3DXL1ueWx/rXrnu2nXHM+wHrGabXq3wj3WvZjn/WPfqFeCz4fmOA9Qf 614NyPGey7mqHohpeW7FrA8Wc/3vXrVoOXbB9n3Dqt5b8Zzfdeu2Z9aX0y3VDP9yujXHAeJZVn24 DbtiOkbXOV2vPtyG7Vi98vOH23fMgl/4h9t5jH+4bd+hK7/jAHRty/PqswXAck7D9SrGZyy7/mwB dZzLLwBwPL5te4Z/toBZBdPxip7hNA1/+M2665iXW/UPsCFKmkyocyhtrDiH63VTxaHt63yfQ5zT 8hdbwQbEVq+8/mKr24ZjuayK41ld1WyMz75Wq2bF8az6YDGXLbNb3aInqpqy3THrrmP8jgPE9zzX KxgNzypbhuEHFw3fsQueZ/hT1QMg+Mme8fhOhrMJiGdbnlcVLHFYntNNzumUlPGalrea3k6WLAGg fuHxbMv5PLvEAeDOJG3dsWaOBcia/mG6M0m3z6JhWrZsHU27eZ/XGHAD2S2nZfjOcbpeD1sjheM7 tet7ZSefz/8x7M1YFEO/WsSqlbmA/yguTv/NBQmLqtMsVdtZkuUNXwbAs43LrN8OnFTz+yZ+L+M1 p/bMMafnq3iOOyk+GYkE1OoL6mwH1l2vYo5sye+UFefw7ZIvh62ByzcMmqR0/CoAaOEAiD78Zdi7 /98/SwD+aP6SPMPeR//90XwNGCBAQN6KLap4dc/qTrySZw9AC4/pmmbFsFU9e1mVx50bDl4hdkqt v+nuBcrGz4U4IoLDrJNSSNKEPQw0PGlqHFnXFNFkVJrFezcJiO4NUpKOsj6t3o0eYPdIC/bHDjdn aUQ6bSWAraa6414ClkD7GWC4tXAksvLFzTop7D7jBm4oP7ZEG2DqutoDBMoF+yK26sJOM4BpwhPY +AX6X4DAUI/r38rjSht6waGzjOBOC3PBKdQEglvdr+Aw38pDHAQ8jsJCKThXnD0uchDwuE7DGMAF 9zmsgssTqFbXeAor77alTJ+tRC+MiRiVTjdgMUIPOgx4EUPee3oicT+QUI0dUpK+iDNgbzOOtr+h +fA6DV1VlK4iTwOc6xZJf41Eb4+9J/pxko6mU+eGSRA4oR1JA2Vbg2e7ElyhpDuulCPoJ2KYZrTT SprZ271MTuk52llwlDBdcJ1mGXgpOBz3YgKIX4M8mshmI6u8xEDqwoGY4oAYsfDyaWxVeJtjsX8w EsjIIRycjbqE3+BA23bBAnx4HoRdEww4K2Tit6al2gOclDNm96RQ4zdpSvF7c7ikeqcVOIlUf9EG UOfMFG+XmExuj7Sn20Mb03bGwuHwRghxI84ed84yghCSFd5gADEiHOIthC+QCRaRMGjW77QbJrD/ dhUY0PCiYBFOplE/zoAdVYLazqHcVoaqMAoD3mkG9DW7FxD5vl+YzNsx9eDtbsjjdhTS3R4RVw1v zqifu7ymBKdhQO6bpTtWt8QIMvRw8U4PtLIIIBovQu/AOq4FHCG8b8Oh0915RMCzWw1PE+u0zMA4 GkB4Kwp1QLwo0OwCvp9Z3rw6rYrtOyCZpIQ5z05ceWFSsIjLwoKVKJmlQy7sV2ywdGhYxw5CHQKD PI0EIMdNOUQ+4QQCBBIkcZqxxADPanDSaS/cI8d0vITCAqNbgJvbleBS/DJDkA4CkuuFCO/S6niu 2ETYxOv1bqJNQwku0IU4+GHAjzl7pZ32GSU/XWkB7NX66+wH6uGqh1e/ZCVZqdNkpZBooBLAfgVt kC21PpQZWgmZodULM5TAgdGiO51Gd16U7tAdj2hdFTFNhzMQjw+EMqN4yCRnuY15+a0bo4yoBMH5 Jgy9zW/CCov2NOiiSioRgVoPoSiw+md/XdB0v8bvNU149pEmPLsaLh54F0oDrmFsSJyDjs1OMZbA ipCYEvPuvEPzrvBGuoA5ZKe9H9QVTmMDhTccny8nrZ1TOL5mibFeHmJG0zB9hdcU4Q0yH7vwNSvm XLoTtevBGxlRe5INyDPuNInZUTHxSHR9qolhQIJSireP3CvAUSP4Ime6Afk5EpPbXW7JhOCUhAH5 Mf10FydXgJsQH3JQ4gbkxvUdhYkrGME4BNXhNWLmzquA6rquPnV1ew5GfCgNtY2PeiLkBPFlsFoT IcFCOoVlBFRYRPaoLyDFwVU6LjCtfOo6qXynidxS61VSR0Q+FW5CidQRSqT+b211XPXiqjdU/W9t 9RVX4apOu1E3CvYw/HXwWkU36kVDokUAG75CZmh9hczQUsgMrQ4SgUATe1SDvgfDPRgeezA87jXo I9I+ok8IehPxQNx7PBD3eCDuh3gg7jFNTNMRFfJHStLXDmekJH2ViSlJX1FwXOG6DyTMNQwIZaTE KLKTEIaUmGcQwooPKTEBgxBSQNhJCBcjSqR+iSuUuD6OitQvgVBSEokXaWRQwEFyGZq/539ZFEiO eu/Lwl+W57qwKxLArvcKYG8rRopRe2ptxWgxak/trRihn0xJtLR6/xqNNOENmoKGJd2RNOELGtTr tH/qtE7rNMq38rgIZ1Q1kY8J0+oGSp6GquXwekpPccBC3Vl5zOgvHo9c5BSUyD6RQqLy8MhUafm4 uAHBbx2JRoeRKMRV77e2RrY3EK2i78BoKQ6MiwAGP8Uo8K3eabLSi8pKslJIJPAtT+Bb9sge2aMX BRUEo3X9ZIYWyEPUoBr0op32EXGaNOHXbsXdNAHD448XO6Qk3XDxuA0DUhG7DyQMuQ0D8fhAwrBi V/wHEnZaWLG5DQMiOwkhJXYSwnBG8RRDxYeUGEVQ8RD7JIQ4xUNy9gDptPqSsweIl5t+p01y0x/I cNPX/mRgIfk4mncaSiJxSVyS1Omnvj/91Euk/hlLpH7BzDZhaPhVtm8Vo/ZUaBejFlRqvWLUtqc8 /iyb8DgBvNFppJeqHxFQxoWwfkhVhbAxsbweL6mwyD2zL2AC9BojA4gJpa+wrfKJe+J1Gq56804j nUTqXz1IRB4YrX6j3hv1hjfq9QdGq5Mehr/eqBv1on8h8K2FwLdkpRcNIUIhjgD2oaz0oiAQCAQS raHM0OpfZmjJDC17dBmgPAyPQ8SYJrwB/AWW54BAfIiUpCsQKUn3EClJR6QkfUWscNxjmpjm7YgS KDjuBhQc94pd6T4QjQvB8LjTEBsGpGIoP5Bww4BUwooNhjOKh4SU2EEMKTHKgUEIKbFEp+Vszk4G JgMIrj2suQs3/Zs9QCQulEj9oHgg7hLXx1FI7jUfSadJXOH3HQQCnTDU+y/rFcQPw0+oHDg3X9br ogSw/ypbMaq/FFtzBs1nSZn6opAlDqqHDNa09yiw+jxzUa/TSMtB4BiRVgYq+Z0WDzImzpphTFAF c+AcrgDqzdcUebNMXxPGGxA7IRvf/3/rcZowxtfclC6mrngFTD+TwguLMClmLkhUedb/mhOFQOnm HhkB/keN+XGO+y7NSNlAYgoMNm8/F68AHon3vUJRfGFAejy120PbFZhG4unHOIQBCbJcwWgkkmb7 MxiQ32BxBSWE6FmYItyADDGfueF9qdndaRrEwDBISTrLLYlczetB2E6bFbiF6el4ELZDiQdsiAKq q4exngfqcbpbi5qDkQ7IFWDLFqlV1p7S5IPwchPRyAQyfR4AWbzLUFC6WtYXsNMqqOE7QcEiH0pZ pp0WuuCm3wjBb23hqhftcpH6104mUv+K1ypMpP51hKtGCNGNimler6PHA+PAaPV/YLT66WH4ItF7 oolOuwhgHwqFQiFCLIBFgW8JfKt3mhf4VpeVQgq21PoOfqzHllq/aqLM0LJH9sgevShI1GlrAi21 vjdW8JPHPfL5fASdNOE/DI9heNxBGF6DPp2W8Ig8uvPSnZfuvCjdeQuFSErS146C4w6i4Lh32gIF xz2meTuiA6LkNgytYtujF/UqYfeBhIXKG3KVw4YBadGwYndaZbBhVHrugYQcSsy7US/qUWQnIZxR WFEIhsedEqMcKh7SFT4GISRUPISizSg+f4ydNhL4Vp8MIEZvp71wU6ddNgxIoT1AJgMTvFYF7QGi vYsR6k1y9gDxNjgjZWsiSqR+RKjC0VyCozHNK3FB8oo6M32JS1JfJK73RDtthuYtJ8Fr1VuMROr/ twlDvU77LWxg9duE3aZhhnojg9fD8AXn5WH4A41TPQx/ZsJQb/NfVqe5Bg3qvYP78zB824R5B1VB OQXUL/syxsOrX6DKgSX+IoC9yoE3hLAbKYJQpWgVqNdpLtxpMosArr8KJX1rq3dae/IUm4zAgdHq 7ek9UVnpRb228Gni/rGhrRgVEB8UHPf2VBiUQkulQQjbE6LSHgLurFOwnu8WlFUZUe/zH4WH1Y+K 90A/rIONVjAgSEhpG4TQYyjkLxfJoEKztrqJixi+AREPxN0gOYgLGWx3EodQHECFLFAa/tMlDTsN TI2oZ0byuJd4XujkQrh5UW80jagogjgiHrxrsbMkJkC23kj9oSsH++dRSq3/Emma8B8pd1h+YSN6 T9QwILYOt9M+BtrFKDhgkF0IqEYB0QVTfRi2WAz8K4D994EtBilJH10qcOKYmb4kFFATnYfhL0AC GMGWWq/4OCqwxz5YYVGpNggShh7RCvFPCZL6T8vHxRCdelK7Ur7WVKPwSVfG40P2zwjsnQZyRmA3 B+asZlzytbYQp/jLjLzJCPEREJ/2QEKRxqtw0++0ztGAHRc9DP+zaMA+W0w03qpJDFKS/j8v6DEL SYQg8Z32YVii61VgVIfPixlRLyFTX+9abTAuT4uVZ/Hg/ERUUC+DwncJ6I43SaR+eyKAfaIcwX7w hm/MUSPqfYcc7PdIMWtQL4WiL6fDt45g77RR8RjBjkcKrN4/+L+/+Ir/U+jtrZeHKAnBlOR3mgdB cNFpCtADU5pGSBMS4Fp5BfiA/IqUpHfaS5GSdFCRgcCz+xW/hUKRUChSku4R3wLhIVKcoytxCKoD aaTeLVhzfvZhmTJk6a6WrRBC4i5TkhNLYEV0mmeowpvkiTKkWamDsw7vhbG1ZkQ/A4LPJBkrCFVU IOEix818ana/ogD2pv+AE6FIQhBnwG7auL4jR+GlEfVCFG76QCL1d9p3er2CFcDekxqFcNEotX5+ D3KqEYnAURB3t34hqEDQQgir18oKBP4F6Spw67EQEQjThUh0UXCKzjqAtWYlGWJfgdUVY5rwiYgG 7DPuAwlxFm76cQpLrRJQiXogZkQ9kGG/foEZUW/xnV6vYhKPF+wQSq8dFLavtsJXRtSDVFRjl3Ee hq+IoJ1md6vCJyopuiu8DM1R71AprBJQMqKewHd6/Sc7CWGnRSQj6nWQSP0lhcRjjAhxBPs34gWN QMZPMFGtQRhUHOn5eqtKyByMaO4ZoVIuaqg91BkTo9NEnNckil0BdrZ2JCpxvbLKj0hBmG7G1SV9 XTyaCG2mDh/CqC9g523IaRqy2N+tIe8VDARFAB/SUutBg5kmPDhISTp4OvQzcRfCCgmBcjst5XAQ wm+QknSSoYr7GMvBDrq0roswPXYdgVLuRhRdl+9NI+odQt00ol7PIArhZxpRDgHUG5ET4lS0XWf+ pMA4AAM7AcaGAvLpp3wXAAVG1AvdFUqAjDXaL4ahEfXq0OhDI+ohTCrU66ERBUMj6oHrhv2hVQlh /0T0hKcR2FOhkPeMqNc1LIFWJsw6qcsUML0xQZOP6sOyQXy1c7gSxFe71dJaadKE65tVTiMCQfyF Z0S9hbhAfMKNkvSBY4B64WfjNyPqmRPIyncauBlRzz8WK19fFIySsPKKzYh6n+dS+UliM6JeyIFI vOe8YJ8N4KbvlUTqTyi+yXtSrO8p8XhPPpO6GoQQnKBg7zTIR0D9i/WxEmDvgSJK9MxhSTeFQn0y gr3TThls1eaMT0u0LCQj6i0OjFb3JCPqeTJDq0tG1EvEAwcUHHfwO/Sex05C+KEul8LbnRGtNSOK avjVg9UPUwZLRBcFxwrTBQcxWQKH+VaCjcdRDOCCA02WwLEw1ONABnDBiRgHgiv4+cSIeKRQITyN GGo4jwaXlEO9GDADiay8+/hjJIe9P+1oSJw0dECkKiuDEP7y4hkutthp9iNNdNoauqTUUQnxuA8K Y/O6mM2K9LQCLBkbJWkbMioREu0KsDlXd9rrmvx0kcLSEIEi5PQ9mN+3QArsjw1kF3BUy4VwQonF UtCFlVNQ0R4gHe5KdFqMUvCeVoQTq6F2oohFqUiwhlpLw4Ow4cUi0JiJgrhrzEX8Cxx68t2MAgNy PKFC2GDZKs8uuPY3yjfulES38Lk4sFIhOq3TOu1yUhZcY5YRXKSAS0ahIP6xCYzSW9ah1fGSIA1Z 9sQBO23FFys/EJxlKmETdKoJy5Uv9MrYaeDvtNKSmt2dhhNGSeo6Pq0IB8Sk1PB/5rfTSDk8YxG9 6+WH0cI6YsD1QntGwICJgYwXzkTCJkIbzO9fZvSVzkop+2fa0WlfQCOv3k5zTYpGp4XezdtpnAjS a4FHp13wf9+c5lt5XEZ0UXAfiXDgOAtzwcla5KGbEBCf4rJjZLMqqOHhIzQRicbFAQebwson3FaZ rqU50yeSRPtHr/F7wJoTMVoUPtApeEihWB4bfM9hkdqYFBILBImT14MhhnC465Va32kD8Jy6iRmG clNwTBNeBmoZp4GPJy0lOBDSm7GCBvUYlo+Ls5CYe7LYVL7WTstjgy9ngtPtNJEI8bi3TStSyuhB WBezWaWRbitSzEgNtb9/6jrD5U8kMQLJ6QiVzBG1h6kvK6mwSBqpL+CFYys9DWOoj3B8oMiIdbBR TQm5705DBz6xDfsPi3/INcTvtE6zJYjfaQMEiQ9ZKAXXnkAKzmylEFxmYS64hmDjmQZeCs7QaRxW xg1F3/J9jWlPvuvBpP4h1NKp3YDFCCqaLmCmILmkhs4AiqyJxdppvaWB106LQZ3WaZ3mWqz8WUJF edxpFHYG67TDm4AYPugWP1WBumYNyYBiWlkcwumi4+B0Ox+TUjvJGrAMti4w3N5p38fywjPWkS8c jsFM0H7PqdtELKcXA2ZSdyF0nCyvf2cLI1IJW5XvNC8dFULXBclBGUzyCs95UEgr4w1R90CW4PLf 5RdlCaAPKuk0DozSiHhTjnJDju9jf4iLob4sZD0p7PG+bIklVBpop9UjtNPkl42DkU4aJWlJBJpf lLYINE6M090qVmZ7RiS/VTssxbTe3ChJK5AcjFg6aqjt+Nn4/pnZnpgBJqWqDlKSdlqEJCXpedGY GKULct+CV+R6nEx5/00rL5xcXBxQk6poInlKQPmR2Ar1b7TA/gFtUXgZMmY+GQz2sdPO+UW52VzQ C0P+Ow2fdWGngX/EMYAiKVBGR2BtCm4jnQafFP7QaRxV3D/KBXunEWxXgrtDIE/6EpC9Fh+gBkca dlqHuxKvDJlqOU+OciePCijSaTHIUMI8/5lcYYZi8M3hAFM7TY5bRoRjYXRaJIJQcB3RRcHdi5XH VWCox1kM4IKz2DIF5xgYEhj3Kzj1W3lc5Ft5JOi401BDIr3Szv9Mvgw+HT4+RjCgoltevtPsRCzT WXvWhZlKq/ChkkUGGlHPTqBW33daAW1APAEDwlo7DT3hljqW3qMRBVEu2NsE6oN2mvcLHoTlNXKa mb5apgkfSyXiZ8j/feccEewyq/qZdXE5NmFTMJVFvKyRtKXT6klR7BoySrKWESEQWAGKGKQkvSF6 LuCDxKj0w1nqNNQqBbcqdg0ZA7vQYjefosFydxqObkkdkYkMoMhdcOU1knsgYYOxcYglTAT2OlJq F44B6h0GXwEB8Q4K0URycGedgvUalo+LkMyK/QOBBwfftFiCyHpSi8OVSQcSBcpV0Y/Weqc4H4t6 lRqRTkugVh8xsagCmU+oVJXVqagpoUI0IyICQZAA4xIAIBgcFI8KRtPpOrcHFAADQzYmTERGNC4i LBSGQ2FoHBAJQzmMw0CKwjCQg8opyYwYAGQEIJajAfjQlncJgkPLYkAZobnEAq7eqxpV9CmxGa69 +gmuO9puSPeD4vnCmACtknUa5PkAEPtUnQUKD4O5/Bx2GbUMvopUfuqK/KrlQ7QJiiUrm6aAc/So SjC2j92DxHU04CGE6SCAsmJgQrLKpH7AXlqOJq0D6gy5wNJJTdRDQit7iBWzdrrEQaJFWkyGjx6V Rg77EUqDT1aEKMzgdrNX5n7uQtFjLxZlX/q2BZYIXgn3agjgeCBIg97bKVlyjcO6tnVaQGaZVcRg FWrY9pdYJKLZLIumJ9yFanrzib43piCtwb2s2arxqutDd+t7Pc2GLGrdzqHPHQ14RvmH8owS4Tjv bKMAK1ED+cBHRk2yw8+4XjBHlcUQfoQqwIT/1cQvfVBHvImDPmhGZVfEfq8ExJOmlS+uVaUobQFs lBhHtQ1m4kWfpJeWrQ+l3ZBpYETU0QSnE3nx/su8UWNimc3AQKFkuKgH1G0NtD/vXR5/AWjnGW0Y LV8UNyCo8nxdaMa8QOFk6VlHcqvcu8JlRltgygaY/FRe+6FqC4oLsAF25XuYxw1eJWLlF+CI64Yr JNxE1budVl0cZcm1K81wPyVo65I1MZxKmM/4IvaiRItBH0qYqEa7r2gKd0ziB8OuHHmeShrh7zqC mdZpD87YmbmLAfUkKev959zIJA34f0vyUTulAizP4TdVKSuJimXV8TyxjcsYx4H8sIpEzCyteAdZ GMLVjO+q4FCNja2x1KeMYSF6YjkrjT3QWwT4XbXh7SAssSYYUw3+MhlWKGBJcR6K6A/z4QXbAnVv K1SFe9TAjKMo5WpLiIxoDF7mmx8wfJylUBVxlXObt4klxZFwCgNPAqMoMD3PcFYDoeLqG+g7ES49 Tc6t4MlBPFN5jAVIZINncdHiv7P6Ua4LerfpGHhcFgDjCSJC0/LcaRNZjzQbTXT9IjTDrwzMIPoK wqGBqtAvE12MwDy/wBbHYKrOKAVphM/5uep+Al3a9YU0mJRo4sjpfSdpuHiYeM3ofi+psZ6Eco0D HennU7P3rapNOAx34DAZFM8KZa7yesIhhaJ56BnSknZZ+9VvYuxdNf1jsQpOI0nUAiVwL0T+l1SJ VQ3qOE2lTnOtrIPBHYcCqf72Q09gnH7H/A53Ziu/6moJU7z9y5W87ia78Tiww3Soo/Jaw9GHo051 wy3331O1yURz4IqGAZixya6AqEuUe4YEmpcocmgsBct//KhHTuvDAp1pBCetg03RGiUYi6lji77w 4SW/EwaXjKXqGI/otf7UHMF2f+MHYGW0nUd67Y4fboSq2trEJkDN2mq7frWDxaYX6plunUbpOJaM jc6OK9ZPLOjFmdy1JSKoBjP3xNdVCl+YDkawJO/sC+1SJ9HGMAj+y5xhvIqgDsm1EnAO4eLve7Yy sS6KSUCB0EPOzAYh/S+TfW5ue+a4GHbdDJM3sAaP0KCOwx91ggVx8s23UJfPWQEtvBJXHEVvgi+q I5HNzaLlTdbzrG9EioxvDN+Ho1VWIFwHFYfA5NforsXNtWF//gNJqBI2nuRFDG728CLQRavx/S+0 sEz6nqsEXFO4n5ZmpdXU9SZCOmAojkQ45ZaBdC1eKvfvQHeltwTH7taJNGxbaVutoWOzhnODWSvX dfznyw4dtT/FU/uLO3OXj1hz1qG1hWHvWQpNRUaBNQyn+UxIHz2hmyjUrlbPde+Xf/MsevXXDzgJ 2lAUREfRxU1bWfSs4+A2xQ4WVj9lcR8AM82REFuJ6BOdWLNuhEy7J2+kMQPszWQxwJmfoykha14B 3eepLoOpJx/LAg/TgVIqrjv2f+5ANNqHBPRMfJdzmEwCkPBpKZMsxfX8qaoBKQMdxbf38rQXUtJg 2RBjPYlAV8t9HTMOdqB+/1obQ4NP2og042BBmwauGJUdZ9ZZkxnjEtgnTMvdwpLIeXFChlHPlBqi 77+I7NA7Gdf3+NRStRO8emPhHMI894fJFZcxRwpPZosrvnclNKTND2G9g7S9ZWfFlVCKZxpjKdsM /p9Uc2XF+/S4JVczU/fJ2CedRqH7JneagKITNBCFeGrB49kaPNDuB82Cr+eRHMePF+ZJ22pNmofA MGNVCMsMFxL4/8NUiL/7h/Sz/g+hHaeykWEL9TZwh7yMh0FGf5EI3kjUdwZoF55yMIdhchGzF7Xp l6mqQulu1fIN1tDz9awDeH+EmhWt7g2pbetEKwNShJ7lBxUX4HhIWSG1JThFTlJLGUNjlNmlg3p/ ZSX2YLSVCuwT4iEyI2kGRiuyAxenBhrveLQgIHDYEkjZpJdYvwOig73w9I0gIak6Rntl+2e2Wfc3 pciSPP1RFql7E/kxDgRdFios2wI/rHY+vOGXT+VciCh63B0ivPHiy/C8xw9vhjruZt0fk83cKpgl t8cKv9bpIps9Vm+VSE8/KX0MGrwPWvaEJIYf3InzDSMj4S0hRjKkWbJ89I9uCkFqv+eS7o6Bq8Vm hyMBhNwdOEdSXhK2SEI2wBux/a4ocQTt7ip2BWHAm6S4ekDJhkB2KT94J1VcyTtuzy6YdDdaeBt6 JMLsL1Jc4vBECu+8u2G0JVrCoZ18hKiWtm/8w5y7NJT4lzZDM3OayW7aLrdpWs4qpIckGOFmQqea zbmAoJzWXulZXKKwBP77ltByVsV+KgNt3YM18nNPmsqlDe5bMnCL0zZKCHVUw6WOKkI2pW1ZARCC 28b1CwFXAreT2yzlQ27/r+0sPmwQTHlcONVJZjZlZdGziDE+dpz+UqR0jgrQTVJ4fUZtzwnAbQhu TpPS+AT8EI5N48il4iVf+uEb5V6x2ev2YF6bKfsI3OfkPwBCgnj+vJn+g5WLEEBlVwSRGQR9V2we vNSMdMRMW4ty/7lrXEOkAZCV/4zlCCsxibzYa0MYhV+MY1p+iK8kYkpid8fSAz1sFa94NlO6tE1C FMc2yoqQ9mxEnVflWFuEJxx7ZrAtVm1FH0sKwZboGec885zcyU7qc8QeYzyGq3lCxEMPJvTTewJb b9Y0f+g1s0wjsV89ZhfjWXQcKhIUJybJpuBijbRJCOfRv+mGTNPI+zlK3vHMsQbtwnqKBUdSJsiR LDXn0djPRIY+uVYUAb8ct+wo1jqmNidbcSS1CyGeZMFkolfPIAyDG9mK+SHsc8Fky3Wx5HDjPg/L chxpGfl3ksGjiUo+Y8Jr212RLExmrzClowu0V6m1QcBhSywdGP8vbJo+XAhJf6LYoUecW/STsdam XN+aWVZPE9Hb3i7Hdl2U7pdDAZoVoZC7Q67VabMGHaDDMwZjj/hKy54zf5OxR5mPwyPa32llkQI7 ZEjIEhDsX2hhgRVkCaaDxqT+a+v+62q7BkLCpGN7+i2LNEArXrX71pA+6iafo+e1JGM9N/htNazr YtPtKtlrEhnlgcc7uIB9uws9CWoJI0s+yfZleGbYb7cxpEqZb+PPcjxkO/f/RceeDQpm2+6v1fV+ rlPQbl3/S4AE0cpavA+y4AYFFRta9L3CtP1Tmac9EVflOjiqCnbbn5Qiz9Q1KlfmtMtmhk34nzkU 8TVoAyxWJdoyS5tWOfxWe1PVtr22eT3qZPZLR+6q2o5rd0kpz9Vemqsw/IhOYKzsSSw45EemVCK4 6458oO+1KW/C2KxmrkmNTaCaYF8DMhDqVsK7b9L+nNL/SvnEuX4icFqEAjx0MBeEGO+bxC0H5bJs JgYKOijzanUfFuMAEDMpLeifIY4KoyaOxRmpmD8nulvF3KOi/PH3RhgrB5/KUEEqAvvgQeq9CCpM 0LWDapuuuT530lZfuxGa0JF+IGmi+mLs5UpJauhdBS25O0nz6/5qn/bjhgHrk5KhwUwr7WSEQxfN GLu9dKTFalJW9GW6iQXtw2GDbcqNPW/1GRntLhyB63Dmw5/akIKTa054rTgLGrgmM89a1/HLUsGg dQabSM/yBDq2y/fZ+yXnuWdxlk5HXuq1qiTa1zb75bTyLB3Pd4qHVJ6OVdaYV9F7PUfK+uUm4KzY y0H7ohOwEF+aD4oA4t9/b25f4qSjOxiYQxCVg7eWsH9SN0AKikmKNsVdeF3LY+ELsfrUWZOwD2ns VfGKM4NUhFhDTMnYL01Qw4IcBSZlgz0hfQhMpt+/UPse8prqYPLEO0Thq0qVv6cZkn0hxG1kKfe5 8XqhY6jKHyVoSEJapGxGFxqSfmJsVVN2CFte1WYR0z7ztbgOE7xRrzu4VVJrwdIhTgwSghBdnOBb +RflrMGpNtHJbS/ghPGuQ99FDFr8Q/ucqA2k8l/q738S5DoDyPJhxDtZ+NeBcGpKb9z3riv1haf1 cebRNJAX0ystbF2R7isCXFjKt8DtJZw/N66PVGeyVYimoAYRKrV1SjunYzcM4a2xwj1VVXFnuA3z Jg6J/AwR9gORlY2wKlgEcK6GFhzejnSBjRZjkEYTFX2VFRGXbUqA8YdRNRfSqzPOVY9AD/+4HwgW Qe902Zxqpfg5hfdP6biRERIdFr0csXfJ2KTHYu9gU9Ux60e9uGIi72qeey72iGJkcDswSPQIIDFY 7Tvl4RU/WqRIAmtdel80DpCDbd77ACT8T1MzjvJ3noQDdMMpOUL2QqskEqafS9+vF3Qtpwb45UiQ ON31KUD4T0ust1z5baczig6o5cGWrX0GKlodiWKcP8ztNq4wxHlLAL93k/z/jP/3tP5JX9oV32j0 PMhl5bgLApB8AdGY0TFBHktoX7HRMxn/I/fYH+Qr5vxU2ky5THO4uUZxyvU80qs5F53cnOapXU4M SGbnHna8sXF6fkGcrMEb2rmbykMYpkTZ6gh9o89vFrLRXrMUgQL/KHhLp5Bs2AEllhYRr5WNjoGM dED3y2ZzUc1rRxbPmG+Ji4gInIt2dfhCaNwqdgYBZyMJUK5cyd3kUTNV5O5LmbrawjWMEtILnvot tIUTjuTW1KnmlgEs/t3Vf02kU6JtddmCyTcRhiRoy3KOkwV45K+OzHFI4cGPWOGq3jghdb3CLenb kjK3QK7sEBY3c/XALclOMp3oi7BG8nQWbTPsQhJ+kt4RHyK8FiWpG2eCTLoG4aTSGKLx8y76V92c lUUV9wvgCbh7f4ikt/FKtu3cLrQ4lY9EwLw0/XWyhuZg1vzmXlQvy44h3BcVASZxbu0vCFOCcLn2 54VEnLCdkeRXRer5iu5S3PH3mydyMlYpblKAyf6TOBoYYv5b8U7cNnJr1ilumc6Iu86QKW6RqgLa ioyPczjzanvhYX83BU30wvr809aQJhFwAlavHSukKJvhaHYCFcP10Fuj8DOm14xDr/fZsijEikNH C0bFfKUntM6nIWUcfY4KsM7h7bxQHzJKQec2sc673Mez6pUoYes8pMdFhkIsIdZ5J6STZNOcHbec Oh+51L1IIbwtek1PIWHcY52r3ZL7HG1a0wTvh4ghkSNXrkLsBoBcsuXxQg6LwjjkzHwD5tjT0ZPC se+TG5mzAfzZegQhJ1zTjNWI/wjA60Q71Q/OBbxp3pgu9or+ECKTziJ0g0Ln9PI+gtCjPGRHyKLR G0BkkW8xZeaTAKH/AEVm/sYPoWdcC1F3q/51OsZq+ie220O/4sdo2grzazyjImCeVT36GPnPPCRn Cd/OCPOll7eXceXAnGqHTeqR+SMwjw7vJN82ARV57P3E1lkgZOvhmBXSmH9ka9p3nGOpKkqj2xTZ utqLRwJvDfCgSJg7sR+XAyIAVaTu7i9qeGeVT5vFu0zErYAw4mRGxdVkCdcOIu5egeAI60fyE9eH u7gm4lbN8qxyIYtvqskRNz1cHNhMEnHkFsemiNsR7VXhRbIXybfG2vXJNOL2OKxL7oMcrqByPi55 9ItNZUE14kaC+CtOFDzCdTlh5JmYKePjorROyH+ezsQkQI7I6RUBMTEc3+ElVI6ZmJW+7ZlnhDD0 lmZi/RXG7FCPiQWd+aFrCHWf4em2enum4phYbH9OQ2EO5JKEkK/w5y3pFFM+p2u3Gfj8R1Qh770g wihwMUEwQOkTM84rOUIu7mtjmc9CNeDpSFyqUsKGFJvqSMxYShiw5IPfABIivL9HoYTN2KE6PUyM 2zhLmIjzFSpQwjIaWWb3folonuEsw8l3LV8sv/GWmxKWwByuL5mMwf4YC2LucrxPx3p6T5sqAE0M 0CzfSBfGBFOas8roiF6sjGCb2WEJRPBNe0GdYJaaDc3E50ww22N9ycUzyfbOBFPvOQF8mX2GE4zM l3KegT0TTJQK28OR+NtkdskEo3430OpkqTPHOMEiaXJqMsqYOyjaR5L4zr5mmKcvo+UAeyG9E2zl mJUNAfK+v0tTGGAnWOO4uXmYM3xkLQkGf8yFgEto7rGhrrcognFqvB4MzTBkdIPE4kGXRpg8BLDJ PInsEP31EYuR8CSPxnqPHCqYOe30ihdUP5guYQJGMRMyy/nevnLa4oZC5yEru2+JcTKnGXQt/9Zh VJ6WX+oqeqcKPwPqKvE6eg0PU0rWHJp4uDdl3sdluH4s+zV6s3LJPUGy6Nad1pqwLlhagjYTPfnC Eb3hyz7bJUTe50ijd/A/pOjBZ8xBY8aHzuitFyfHhgabdDCeWdF7zqh0Hp1cqCvrTw0hPS9e5gEq sfOsk54I5jjn0gN/6y6hYAnTPoM/crnXHR+uAVIPgXrYintixaWeOY2S7yvfD6XbtzyeWM6vud7q LN6jSYRFpixMYojTk9lqbke7SIP1o1WCDVNTlYJV39SMg1neRfuhsSJHyGkan9IsQbkfwG3xvB+d 1/PQvTrLmL0KbFJzKy75X9cYxnpG/BJwVT/9KGB0evOg1zHLYOJJ4wXmGgxTuU/aV96XklO4Ktmn 29ikVr2FN5SvUBQoLtlV0lMdzmJ5OE2UBx3zKxnzN7JUWxsZ9WwDP4Hq3s/zxipC+vygGOSIyq/r 98NGyqzc+H0tk6zyo5FiKvcoCH3iRVqbsyM78f7es8sKb+uPxI6AO1ey/gK001zimPq24YNiaSqk S8H5m0J7TRdAvLMqmvBnqrbGCVYuKeMSwz0BUFmav5iI8Fiui9AjoWVTtQh0wFCobZt5MYTKlfeJ HJNeTtDm4Ou9HJCE6kKc3pvEJCD3ejRfKtdRd2X+rdMoqiPdlXSisN//a3mjN9Lkaabn+1fG0aQY OpBLX+INc+AYxJXEatwxS2e1YBnP6imQ953dRczeRaq2junHwMVG+NQrmp6S1bQKYyQ/NTGC29Rp VH+GVDVDyWboUhASKxGjtMZK5lQNBbQZKUikV9Bm7NwXSnd1/7FUrlDzDD1fJClFF5ajY5IKktq1 PuZJgfBwEIVGJld4HCZU+HaMSSLo4PL+ym4VmemnQkkXGWk5GRruyrAfboZFuzN2CbcFjoehflli HQJwXG2xdjv+EXJwloFCOXe0aWLNmpi3GhdjupD0BQnZEf3qxtwLyffGIdY8RNb96dce0PPAuz53 ahi/2C0zOxg18gyoZtddGiYzJAVFjz4MuuXUP0dVmRrH53X408V4hSM0DllFFX8lEuxEQXdh6YAi 08RkCSev30NboXLyZURMQxTn25bukBmZC29pQF0CFcugj0apCX5VtTi7224t/AdvF8Tvb9QZKoia zI/jAuqKUKMI8WcEGNTldTuhoKir/6QuKVBXRSZUK4kG4q/Jbnfth1TaI4mjgrqk1jL0ioIY3aN1 BrUDOjcssUnmPWkNnNx2bWLM74myXsNrZUxwrxOGysTAVJRd8AcU+2VsQTxccbalMA3Rl4j6nqbi YkukSZMbQr0qln+24hy5AeKdQu6vFaelFRF3bYIPouLnQwwDwNGfXEcxEKk8WBu4IsQ3FuUVv8ru 4bC4EOf5g9HxCeV8odoumFNxzZnMx7i2uzkbig+LyDqJx1j3XbQhjSysAGUBxCUPGyk3xR0CRuJw XdSWghJnUjCxJKaNGp4mZvGO/htECny7D+Zm94RnPSEXmrDseoQm8Hp1S6AfekDRO2PnV9GFHw59 MfT8jRFq2NRTVSCsigTxlMIRiBMceVcePpViqGrwOHmhD82n5bElPXiLb22j524fPqPAj9lewHJT oA46IXUljM3iXZNB9zCAFSapS7I0kI9TFh2gTdsL5UFSlCXWCos+vpOW0LwOkvlai74JkoeegWfy Ne/q+xTCQutyC/mSpEf50ZiKVQ0apBMphitFfsN0Mff1PJVQTDGs7qwoFIdd7O+SRetR8q5vn7oI v5SDLnXRSIZMP9nHE0TAhrFxnKxVLEpd3jUCzw998HtbRSQ6LXWV+bSMo+LoLsVb6sJ5FDpK7U51 6rLyC7fEUpfLD+NZ3jBpzB5LXdFzB8EEoPWpq7slQtNSFz/uaemV5mPIjkd72smIzkr3vWZLOJt9 nOEP3h7M29Kgi9Q7/wg2Km7hCBrrTobc6rFbHs8pF5ROt7ZlraEwzdT5P/+uMc0uuI56aDAPCOf0 MDlEw7c/PyYsTrluD1vte0A1vQNMMk7JcznltRhE2CnXzhEyL/h4FeWT/2xSDZpugbjuo8s6AflZ cx8Vd4/ttYvpaaktr6U+Q8aoPVkGjDs9eOgv3SwQqcL99UGCkpeYMk1tenlBKTTEJwOKMjsj+INi 3PxG3ye3FUNPV6/GKiABu7dYt0PrENxIoK2tzJuedawTp5pp7AFbCvpLVFYRMwi7I8VanNOFMaY+ nMeVFR9aIxBHNX+SN6tzc9QI8P/0jIA332LELnHSinBw9Mmokx8Rw75ZBIdDp4ZpkWTmGtB51qFF 1TLGYERSgmOSWNCOI89qrHYfUhINcnGWCISqFtaKtZ8ur5JdH0BrDnKuAArIciiTPQBFCpc7ZTEP YwE1GzOqzzfXnNIAOqbCy/JJ7zEc6cI7xIv3OjhimWfRqlz2WaKAgEcz3sMGjQ9TibXGyoUOxZa6 1CzjX9COjKmmN8ARI5zqbnYyh9rk1DyzsMh4yZWQgDWqVqTAS9AS+3G/qk2wLCH8xisBGcsuhHvK OGQSgyuyv8G7JuCWHnDz81er+mT/AUtzRVXnag63xbzCk3BBlofrmd036R2JKCwDcElj5CcrE1Ez rap4RWNx59GB7clkzYi4XNY8YihdEmiVOg/hkovAOFsr744F4uLGdMagQ7zAkJO/nuop5LHRzmcs EeC5PXJxh2d2NuHLcIJuIrP1JlQGu612Ffq8vuYKU7M/qz3eZ3xXzsBB5EE0lHnrayH+Vg7Ng9rr C7zPlC8tKTWH4Ivb9vwkCUagWsjGiHBmlm48BhTALdWWQ3LcFnKI9iHFKb8rAPFh1bKle12w4ElE dPHHg6eK3jj1ppxpRZTH/55TKiDEh6iUFlYglaE5PEuo80eNtcShp506R5tJ+gecBKTX4dqWUYoD xtslkC2IJVGJi2AnPAC0/UCD6BLe9hW2l+f3FN4rg71IzecTqh9RbhllbuHEJKZsKsyt1Ydyi6NE W25JpsWh3MJKMHPL8WtPJ1BuVSPO3wmA7lJVrQx65dYW7fK1LReSp4u5xZoo/dUqyCP2byEkyq3Q nmFuTQgARF+4UG4lhp+5ZV/VgoWk+2plS4iuzK2thfSDuRXXxEi5JTKXTP+C/F/xZVJinzZPrhDi F4b0e4TcNskRUXUdcry3uMRHVdfgCYH7+vJ5p7u3mVeD4iByCaLPFw2WGN24/VEYGryRWzgfaf+b ddPQLqCPDtgUdUxXx9wCu/kfVJLtNc0B/jESOmO/Cxu7CXMPtRnx8J0u0IjmDGR7QcX4DPp6SDl3 +7AUnHxPywpy965hW1HTvwQaLnR/djzWsWjEbMulOoFGtcbEXXpnQXMm0D7DvVQLjR021PglG0mg D5/ue01dQJ9jC3TFlbyNq3MVkAxKfuueGzSm9QNQXKB7uI+HEGeyPhSn8HucQQ5UJOWWXvHrdVkI M2CDDKdIKZIoa1mE0LZvLbi0HRNespF3yYKtEO8zax87iR0JX6YiCjToITslQWUd30eYVovo6bC3 PpkRs3B5JjkJLyThvijXwu+b/TLCS5wANGkjpokpJpZ7LmXosZFRFnpzex1I7BViuXeX5edR7LS9 554dOP1/A3H6byCKcRrPGPEsfQ5fsdQCl7qzQZatqVimipy9iA3g1ZtVdTzo8E1KGCzobohrxELZ aB5U4sosvr76drakSe1Azb9WTPvyRlPGjwdPo5obyXi7yFxiAoO7ptbigAhBxlzpPNYFIo+pfR8d dlBxthS8KkYSeJuzSEMvpTMBUGB2UuB0ePi4i+fa49UUpT/8uOxHMB+93rGK4TWhzi/U1biDsLvC 3zPL+zm5i/+4lplxzcVh7gBB4zFi1CBYETk6csWBnrA8ce+ee6uG6054BxoKelNGdCUZgg7/KAlg 0oF27SYTv2S1YcliNcWAcyQGfQ60vhy1ihpYMNaKhvkoJC/AK8GBhlkiGf8VIP9+ICkoJf450OGK B0GD8szfdKDTnJAC+1o1DvQ0zTiec5FGlCBo4Vi2k91e/4yqXFLJwtSyk/0MAmZDk7Q0yURLBmm0 2bnUEe++5TiWvsw6pAtCI+DucKkq6gb/n7VXIhMOoDMi7jLoohpSNQaZsXuLCePhUqhq+sc/apd1 /vA/vLWjwRK8U4nBiuAk1G52sogXEQK0hrA+bAEUfEmaIjGoMoRO8TbbkOfTn8hzrTSzUUDMaIXk K1TuI8lYmi8J6B5aMz25VAFLdMLCi4jpYaU9lWs9zNU97vK6BevfrogQO/ig5iPjbgGfxiAB5BUx M+8wsf1OGA+btYm8sZts67bnql3X/otRA6lu+VH0eGeNsYfXWLzluOwkRtSS84nMpn0gGfuPp4nS K7qhTetCbKCGymjkLMbLvIqBzdqe+BbAdctwMfKC/UHWErGltMGBdPdD4BZP9w+jAV4tAxxzIZ9a zEOVBTBCLPAktXRpRTSFwX8MKppxX7NvTd7JxyqsQ3j1XnKA3BIZ5JkeJQZcTVm7StMPJPev50em isybe/Yhpa6FzPHYJD7SBCaVxrF8x73yTgnMbNsWjlt0MnZK6jLQeGXFpUEyDhBKBDLJ6xShETkE fhJ6R65dADrTvgSfE1wzpKsg+sKAutVdDKQZFISSeDGVEljhvYyDICK5/JGjcyXHlCiD0BnrEUXh xe7nqBJxNSzDfaCO3UZL3//R2KOGzzeUvZGI3I75Wv7VpwnwZXYkMF8nHJj/262vsvKxiBTY+hCo zpF0WFBnlSTukTjNfSijvcFmafo5fqV+rrtQZ8mWcdHl0jfjKwoNHHUGAFDs9RKqEfSLfomos78X iuWq86gapL0SyP4gffegOh8gROmLxly8skedW/wNqz+h32bBqPOobdh0xqSO33aukAqY/qQCqvDz wKRQym2wYH5Hi2c8UZ2lNCh7BVse1HnveTNRnTv2/UMRNUYRqHN1IHZJvMrFel+V69ePgsscaO+A 3PJAE6LpYfiho3DiwMXbh0dTnpqyu2+FQc9SyU3xbFoC21/mpLao9t/RxvQsyF4uWD9l5k1Wwplg EffoNzEclm3LfxMeg8zcMgW8FiLS5C7YISdPJIC1NPOCjoibZyGbVzrl0BZsNzFLeTNqMgChJrlF X4rvF2zEvjCXThaa8P6AiwFILH0/THkK3E0OjYwblLvfb9lnhqO6IByaVT8BLO64rXTQITQT+NWe gZlPo/qi7QFlPzR/wGTNnZ/Vo0hIKvmZn68RMArN4rD/kinLaiUUCc19SgIa/7TgGDkCH5Zc3Lkg vHJSDjw7lUwsj6ARF87KfsbiFxqaM7FRBqo7314CdLOA3ANhRXyhefS4fOItg7yPlj/zSmRL02xy OyrHuJXbHtb3fuY4CM1uvEUX/zOreGj2EiAenzlJF5pVtjmzWGEWqY2HNwq5f2ZDKjQrAnD1mVev brSGKoTmcrEIAZb4mYlYaFYIQIkTAGE4Q7MJA2DoZ46z0Oxfvpz/zAtYrtQKza5Srfb0M492rdTQ TKieFjlAqJ85C4fmMwk06jOf3RKabVGVi2NC8zPjz9BsobkK9zMr3FqrDc2lI6kmDD37meMgNPtt L4DpZ5agD81XniTnWlrK0Awrcxwopdi6fkRekEIzR22uFDP0QOzrZ1YhNDsZE8r5G5u0kyOhOas1 xn0sh29oYzOEu8YgnxkUSoMyoZkfO+0Ag8fQHKrNo4bi4hYo/0Kzbqcp3ZH8MZpODGXbXprS0Bim yWj9n2Nw3e0LY9pQMpwMPSygV4hu+1b0egK+n8vETU268SMiJhGjqmoH+1glUbNNNY8ucdeKvNiO 4SyD78V735lWfNGVXaQB75mpxT0K1P0YuHSTWKB37jIbQqWsekArIJXiVP2mde3VCuIsvNdOsYC8 EVLN/ETT0mU/TrsXW3Za4q5mFtglYhxcoPtY4zyyL/XJcmAnmsD7BRQdLX+/tNKSQ1pAUEZCm86p cYIkThmyJMzPOqrZGLR14h0PQpY3lFYWZX1DHSXsYGlCpJmpUwexaJj+Nnskv2NIxernCxRRqtwn loLXKR2L9k07pZpAKQzdqTHoG+b+DyK0lwStSniyi2JVsnJHdorinOU+wX484qyeipWK4Jd+XSXV 6/tJtSojZ+WMI2/S8qrsFGGWafUnqlNFPWfLif9rbHepXMRk3zUUM17sFnVHmicF06xvrD+R5iZV s+681v5wCoDHu1RsIkzz5cVgQAboK0UknASl8WaQ5lCacbZpLm18OYwUW08GN81c8L+vpPlBuq6w bGi011esB0l2EMIJYpo1wLtac/UfF7jTEtA0s5Dfb/zk0UXi4cit7f6wMkgIpn04eU36TZk+5nQv dmjss/JYBio7y/zyTK1Y1vcrvIIEag3Frqbs0j/X6RfHdkt33U1maSnGiJGyXIiWvjVDAmpijEPV cYOl2npMFOt0HkxI1Bnp4NIFsSkHNt9jOOfYPt/7HIAexIrAM3axeI1c1o5oB2TFrfCwxZNv1MjA rXT64oyUMI8hPNvfqJojAlTbhwlEWXc9iX8Eri4QsA5YjOumRsOhmk1gHH1/Sh2em4hV07CHcUp9 BHUpmMxHWH8EbkOrvaI6jIGOuHqol2KTOrJnOl14j2pBjen8veDpon2Cdcne4H+Vq8uNaHliOJ+e Qel5zVFLy7N+1suugfyV6rZsjtPzdnWHWUB9M/kMs6yVz40inihh930MIcPWfqk0hSl1a1kwB7Gt 382uziup0eJY3vYi33BWDVovDKG6XrkmoO713D6ULsGO9/buCbA9H4zoaem80SGRMi7VqZ+VYBKc sF7p5oDOVC2reTdgjzOnpzR1ZTDryieeAWasN5YQlHTJa4qjZcoLbwpy+xxhmLkE0DkK9nln3ZWD 3gFGwt/gl9lDGywr435GvovHpDPolGjSLd4Itbmr9S26QNwAYciqa3Pzm4ypQ59egzubgweu1xTB X5P8b5/qDSK05oWEsVtVeGR4B6eIbj1GHkNHQXy2NITZNhW2WpNrMbtETDdzhcf/u/VLfKvSEOU8 BGkehPYQuRKVcP/fiihb8d0iE3dZw97fHJtSQZs7/orBebPpTmraj8E+TARqHTGEmwYaaGAXycB+ LmlO0K1+N3FG/xKyg8wuw4QUJBcsKS2FJwxDORsKOCXAFk5RhFsD5gyOUoYlG8xS5JrdWxWnucHy rDopdpxMvlKroDbyh1SMM9fWPEkEQ8tVBwAKgZNcOB0KgxqX0NHoU7J8uUA4/yXt7PMcw6Na/Eoc YPNq2TUCHzn2MkY562mT+9l9f9EZA+CKJ1vMkvtJlujuS9QA78S4xNNpYrpRPQ0rexMQA+MHIcR9 yWKqnqXGxSqfScUt+HSmLHC0Ukh9KEjH8LDtyrHB224xkiNh/LK5mHSXMYk02+CeMgoLt646vNl8 okKaBY/N5rxg1ewgcbspyEobkFMWY007KZ24XjN+Gfg4Tc71R1jKxQUY3ghc9pJM0QYA8e8GVjxZ cAlQG9FpYQpDj5kS29wCH9Nzcrzdb7HjFAKgWg5SswIVuC5nvnJiQHddjB3b4Xks45SbrghwOo/x DuHHiuQr2cp7pMDiCvLJ2OXdZ5GAaAa/hj2DVRB90U1pw4+WZunMDapbBE/O3KFg2CPKqyW6cadF 2bSuRpVpFx/AsbNED+kRsU3HIbIoM+B79hHsHP8cS4yb2gSBIGMY3Vo7jm/1KXGyFhboC8tuaZCy KEHtFeiYhAy++cFkpx5P8K+LThNDamsX3Ce2XHDgCQfLkWAri9XnDTpgMLjTbLNoDXepaQF6TdX7 VS5kHKZYXeUlOX+NegEvMazE+rfhxpTFr/ElM900vu/514AXnrEFILsnDrutAmDtcMG9UyjX5eEf PXitIpOzUGhH5EXgBswDUZFYjFcNJmK/V6dsFM/HY8AS6BQ4MkJ1HPjwTAuiHrhdoA/McN2vx2ro CNVEsRN0Cp4ingIJRiHjX05IGMUMPB+OOcb1pSMlHrceM7jNZPhXdcuW4GRyWMFpYsNXGPtjjWmN +8Nv07xqhdlQ+eIfyYFBdVBLq1m9oiRGnEHdeBSzasdZQ5GCjm4T+MXWEMP5xcWtkO6u+dq1tkvh 3DsFyejWN5XE/jZsPvdi6ZssJmGtb+QyS44tSG8K9GkYA4HNrtkpYwVi29eAo9Z/qLYZor/ZFHbZ /ONuomJSja1uTn3XVLeEl339Yj9lLg8vxDo5XsQDfupXGhcEJ0ojioBpGKo7XIsP5cWiuEWM55ky vZJYcmFF5lf6vxj/bEBThyNuVbf3CJFdI26zJGsJ4ak+nDNG/HcHI+LoxYSHYzKXERNKVsyBns2r Dc3GwnDXvnxv+4fLG/GUkZAJD9/y8eFLQNR3SfjAuTK+fWx9Zc/47ZOE9IeNLCni7g+ZDHQOGxQH iRD27GvgZK4kOCXzyDaNDwZIihSu2CXMHMIA+pCcUgZx9sGL8vOBAbf9txrFCDh4ZrD/YPZoAV5q ne9oIQw0o/XkjN6ZvZDTyNlCSjfSGj+IS+nl2HxlRCaZCquEEcuHt3OWJfnniigkvC3zAdTwxj+1 b1LN9qVC41mwmnuLaGFRbGO5RuleNeJHOnhM1tWxmlb6/4aOr10Nf8v8rOYDRPiGi1sXXnuyn+ci 5b3ZxVxgup54TWOXVdMrqN84qQpUGIycb/7+GAV+dqEWLuxqOl9eARVHToWCT5E4HE/GhGzQLKzM 2orVDUkSBq0jnMlBbF8Sbei38VreLkUWZWaz99vhQnMWqKrx9CC585ZsL7wdIIG9d9e30BLy0a9c PiSz/cXVrhaEjA4JwLzaRYtP4/Vcia+1R8yJ8XoWK2j6Ry959jIHq/0IRgPeezUT49g3Taf2Z21K mJATDgEqY8OzqDBRnV2TIU62XPYo3tQmrX8hW1oC8COt9QRIjnUCXOpsWJksAnuPxMYKxgc01MBr w3IS2mbUr/bJC7trWNiMGnr6hkaGk8LOhGW2xuaZhAQXBFGdZuagxlqsmCsn3Qbvy9DQzUZfmj8I +JTtcMqBDyUL8n4wm0QfMRCwrCHnVFDmHFJv1Ep4AKqYyCFyaR/wKMsgtearFIcW28fJ22x/eY5Y FkYv636GSJYEo/8xRyjYfosmRB6L6slAgiTqCUpAxMaE+dXV2JJy8c5KhFo3yN8kPJfmVcNo+jLH RYaWhRFzYj7iEhaYOfGlwmxS0jI+ZYhyN8vBkOH+FPNY97xsAi6F5tGUPO9CLvdfIPwNILLL5h2C B5x/rcwlvC2ZGnCqERAXYL21aN+chmR8dSNUAwRkPxYgBrNubNOVRF76fjZMS1U98mxO8YRRp7XL 558g/YxgZn1zH54vDcvYxJHcCq6VdSdwNyME1rxO67SdDE8MKSQGSz8tlAD4ZVhaBSA+OhCCVc9u S2FRGI0jEf2BnfyoK3MFfOYgeRXSurvCbG48g8yztAW2dtwBGMFFVPPyQNii2N/d4dyGR+vjXoO4 X+VcfHLzusrCo1HM13gNaHj+Fuqb2A5Xrgmynk1AizFWQmUiOiuHALUHWBUB3/2wFusEGt/LGOkb jMKKO1yYt8aKOtuww0fMOnPux6WPtOA7x4FknZ2Zq7sIQDLB0hzTU4bDoaH1CnHlNgclHArUbZZ5 n7bCSSStuqFlxVjfe7iRQI1u0sOOPu1H5ZK4TYxWf7OgVMlzxFEnJu3VpuixdMzbf/ODU8s2RNKf NIFHrnvfvtKoYUuEw9ixmtGbCX0iuEpzi3dBpPrbew8oLxLImxeeuvf1jYY4ajJIEwyHQzYckHI3 GvObRgcMF+X7XqDcs0g/cO7rR3MsY93aFIAqBV6Idslite+Wy/gMm1q2ugihDjA9mp/egc2HW5kX K7bd7ANkLh2yIaR/GPZnr7jx/4YiVrC5bkVEDxnDzWN7kUQ3Aw7mDfoDMusi0Y9nzZnAQCSVw5Ox e88i577X/MzFntvr8nbcd4eh9QxceC27E5C6JcTVqFGJRTC5eWxUMeX/p3kqE4wd24KIM3gP541B McNi8O8K8TX0DoxxEpSGx2ofz+7Tum1XSP/OHNV/6oYVp8UglsH/rwWMPcCXzy76ereJINHZX8mz ULtpjwM2DOWGnclbEBgfNxnXLaGuOFuRLgEPVPP8ltR8s3hL2hyLkRQvO4rr0qcjYk9x3IoyCv0J BUQV0WFLgHGRmsqArPxwXVyl7GlbWQqpQNkZ9ALUW+aqar0X4rY42Alfr5dsewgy5zpiGjlAd4RH VDzFUcWGolEYXbQVsX7qYwAb/X5Y+NE3CNF9hVoXQAX4CHLneKT9CTVRIVhmibXatx0cbPsmCPda IKVlxFUd2YxtOyqG05YEVu+mk68LpLZOayV60PhI1nA7pThCr92GsEc8Tjijb0Tmk023nFbjW1Fw TaMPKV2EA4Oj4ItMwv7zs30hgDBPUT/bg5T2qgmqF3y5++eKAPSXl9KD64L9gqDr3t+dEyb91opW gT9Tod2WIQDTg31awdiWR01lVKk3exr9FChajEEyRw2Vxw5YP24+J6Wd8iL3XnEZynyYaYGVkpaM l2lhvGtWndmixTplt73NEzYMnSodOZqNh9G7mMZC8u+t88z6V3ri8aEura/CS4uGuwBT+eHxbZKH WCbTod9VsCJlk3Gi1kogXLcn5O37YhwwAlQU+CeG7JRSS5JQA5bmYgiunJrlMGuKcfKfzxk13Hfs BroQuHShR1KfSl7LHfHSg6vlFTnKhxs4u6wBHKCAQultc2knX7azhmtESK5LIV52eboxGJTapRbU gmJMudTjIDeon4JoY5/x3lJOpkyo7EzHjyqvIHyTRHTKDBsG5AXE9i2EUEE6Y/ixwEK5fFy2Af+x fbCEMjd6CxH6tLEmC+ENz+99a2VdpGt7jOl6KvEPWTB8yHHO+jqV8PChIDRZjqnamruEMCtEaMkS TxZ+BAyyE+Kq/1GdogXtSqzGFhE3gwYGq7V4J7wJp7cbwWQI6qlXqQGRfWTDNIZIFSDtkYoM9ETp PsrfQBX+ivAHpHajadWw56Wq7zgV/w0vFNCToy2D92KAKLp8WrGcQHKQcbif1TRuEmT+0ZMwe1nm ctvx8TOB3CAyozCMzRUg4gMhfz8dln+SDngDztMjufyrTT41K0WMogx8KfG+ClRgnN7rxOAWpbJa gYqbUXVkuUmOtlzHQ3WOxM6/uQV1fURksRG7jkGV45LGqVdzylr2bPJfD1OVf0VRwfVrI25KgCal NxLchNn0ukpm4FNv8t3U3Ks+NohDJdCZxApPeCPeRrTqykitW83OCRGh+SWIPheevQTE94Aal+pd H7iS1XI3UiST+U1RMtFzGmWih89uKpIe6BgP7eq3CtsZr7nXL5LdXiW+oWQU6ojyDqeGr5fEdmFM pnRCJsSN5kT9gi5EznypKxkcMZe6rDVm2KZ5ZQIA8mSC8FcajZAgqv1oZFM8zVDVrBfEGTv88dW3 ZuBgURYNGFmgq3o8PFZNK6bEMFTpW6y3D6DEurnYdzkq6ksSBuQiBNOJzdIzgFnpvB0VzYzFpA3z wbppZVlRWS75XHq/bfAR0gPBI4y2GPtxue1SeXOfPcGcgyK8oM0vQNW2E7JG3YxGf0h9KBeGPUqh k0Tz/Cpa9kl5jTZiAxrEKXdbDgRPkvfPK3jqha3E+9ck2Y4fufShSCozvNsh+zxLu4ebbzYqWGpH yBfBHKOvIgQzaV3AIyQteCKYLuI1czM8KBWwxcwHKhR+0xjBXNHvZTDlxBMTsgmy4a7ohqzquwO2 gQvGCwFwKuvG9noM1/oKjs01eG3HlGzEaC0R+ISZMAfYIvwnFbB4oJjTyDjR9WX4NDWDnxdZVSrx ShxZjEIjcrKZIwOIRlJLOmrRPoS+hACZT1GG4MmN37kqcQPgCXFQhiR/6I0rLI9iQP4Rrr1Fqbe2 OmFiR3tBxy3fTrZX6O9AbSVmemJAa/nNDJTJc6fML/uaEePu/yZoEnwvz/foBkjw1s23OWNts7i7 3EIDX23dJDAj368Fu2Xcpv8Paqa8FL/Kk+OlzMnmfJKUmOmMtiRMcorGDX1HoJYT2mP4TjwExdQi bnmwtaVwsHn5FQBOaRkfFFMawZ3S1zyzCkqQkSLTDx/cl7BugaFAyTzPxdZVpCzupJlqNL2EYAvq EOjg9AqV6gtaEA8Cu/oN6zGwvPre3NJuBTgJcOcFJ2egk2ZXwjNjvCZLltwjblTvqptr2e0fGlo4 iIk9qY8ky3Rk6lIdGk1MZmR89NMHSPbznoCVWKhxQ0fRz2CF0W5UctOxBqfyAQnrxmJMoWkRLYZN K5/ewWYAhEtcqiBRODC/DVCMfs1CazdymnbDhlG3LrCADqpU8MlBrpYOJtbxRNqgtlFhHkhdVy/e CTyYKzVIL/LSvQFwEjiR3KZmIep+bqChFA+PQlOKQVhwf1a2FDejdvMpKSap9ijMt2AxNzbdzqHw kY4vWq/JLImr5xiL4ME+baTuKiDZAm4e6TF7cdnRX+E4iTIIhHv7ExE4wp9Y0PereTV2PeonFRwU rOxmcjDGIKjSx8nXQ6XsSfYslC8B9M+ZH+ea9JAo4oh/OCiqzAjfDWIhGSgiBoiKI5MW55oUYDVu wpbFwZBsj9IAGK2diObxIZYVXrEP5A84oQYu+clrTKpB4Q1OYEcjGI0orqDIc8lFknSVAIzupbUo JGAkDS/SMS2WSfpZ55qAbv/IjekK6ssi4w+BRKbHOfATwZCvfZqY6owpjjl6bhs2JVfVj6HEwyyu TXUYGyOKKbG4E9gFiKX3f2hB+IDgwRyGf9+FoKB42QzM7nmAICXwDDEj4kP0w6CrjL/1hwn2gwia HLGfyyXtFl5wfm62DMJ3L3KQlMyiBDAhv17w4k6BXSpga7EdjYS1JklwSG+N4FpXPM2SxS3XP7dc YACLYERfrjVLrW63qmSPccPPYhVj6TqauxhY78eJS2TOmOVSwvzvD+G/SABh30VDfIL8QiQIr4lJ ykB8kgdswjT8mCchjYibaKUxjSlxspXGxE2E8zpqb3qWWwTcVsa+bWGpuCTgpDsOKXt4RdLmQVnD uMQ72K3dWpqvWqvsGHRbqFTkdU393OuXxM20YK4RWiH7giEACfbJzeFfm1ZtI01nLxeK1Ol3OADn a2eQTVXj0trm72dcoJ1TUkW0wNnhx6gdZMyFhVCHHSPN1ZuVxALgyXoQHny1kDWY1wtF5hIqlAHJ Ri5aAcLocUuTs1viMbLck4zDSufYvBaThd4UNzjgHBBrpcmlhHEp641TpEqZhI/Q1MTOmQxHRzdh lbF6YoAFy7+lIldaN6xKRUvED4kGGA1S9hcV785mgT0xIPqPkPxB/cg8ftamFMRNjzFOhdB6pjrH XBYnJGLHVCwrBVljwJsjSg7P2gybbTG/QO/jPMwai1xhOpZ+vod0AC2B7Lwh0i1he96GcAMb5OVh ISDjjmYSe4nGxfwXThPjUBq2vmGY69Rg+J2RaykhWs4lK7e55zRKV/OcyABrBZmFFHsC7ccvZMWX PJDFmW8R4A7cqAsAPJHjwOsP8hNJKSA/IEztjui5nqhMkvn5SmGdO4A1uys2cvPJH9dIAMvgryOV BcwCI1M7GQt3tYV4LdAs1Rm6HQ9rD4EK7ids0xGBp/yPpCP3tZDEnXw8px9LoWXdbDQqKpcpMXq0 F0wM/M2JoFe5+N6oe+VRsL7y6J92O9oGni6h1faRSMyef60UIMI2ykaAhK/EiukSMJCRDwA1ehDu 97MO/bLKjYNKvRokn6vVZjZfg8+ypTako7san4mfa6FnABZ7OILIiIQ/9C+tldiv+KZXiJr8+gOh Zh2xsHihwT8riZL+83iWfIxoxqjXyJigNG7V/dowMY3k688jcT8t3Y7yKndAHbpcruiXntHM6ko6 P2fvj5mMMfpJckbIvEhGBTwKlq1jC6/czSKzY+1zqb8NNvBXQTHo7zlxw7gPlcDhHuR5gmTQwqc7 EOcH2YZ4DiJBjFEcz/isUbMIJg3GZJEMkzlrRthvTI6lCTcjqAsIxPZTCpe0yr7yph55HoU/jR99 vXwv+Bn14Xl7NvU65p2ZfBp4f+/1F9Serky4B8Luj+z6cffHpF4DPenc8uG4FqVZd3u4vv8040+9 Z1i2bWJ2peVgxS8pi44IW6zUHFxiW5pWea7u/LcuABq3PiP9ydpfZPnfQf+Z/N7N3zZ/+OwnJJ9J 0wfF+KndnmHzQI/P/87QTtUX110snL2Fqt/49MNzcZdXjJ9RuMbRfYMMfBLer/HvpkfdDNM2MJ0g 2TVZmf6wZwDFS7wWETLS9+9A+3fcF2i+EqjFffobExP0t/jNP4GyPMZ21gYVG4+/AeUSQwczTRWF RkuNjZ5vrISxovxqkKcA10U4FT6eZEQulIYjFiprN7TeZsicQJ3gRFCBKJ3qJ3mpxsU3Rt5xDijC uf8UU1qvkqMAXrzxd+TA+md3c8m4R7N03mi8ZiC5Y6CadxpxeaF7GfNa2MJYJkDTHfiYWkDJ5GJi QOHBj6WpoDw4RVGr10ZXnccVCahRIfaosEp1+6ERU5Eru1JbZSI4COsU0NROUGm9edF2JX1wx8aN BCx6k1P3fyt3RICc4rpd/HTzd7qoAek/i9iE2DyVJl/tMf9iudpBeDJPNoqjFifFxDgrqMXRqUrB oEBglERWcveHCHDVm3SW9W6H83J3NicjDsiVuFtKodcT/hyoOlkaTo/WwU91s9cOqdedI0Ib2XEg xFT5mNyiz5+y3R4ydyVy09rCw4S6LgVWmrETJ22xCfCQKxSq7RCeU90c1denKZ1fEOQ+kIOig/5P 6mypbhQOwa5/MlD7vVzQ+/Wz9p9BfuMs234jzVgAynpkFSqgUFYOwCcSPFRK+e5ibOn+z703kbNm 5tOuiIhItLG1Ruvd5Hg56r0cr3C1AUMBDQHMokWjECWg9mh5YGBDmEQqiVpCCGAwGurAQoITCAQa HBhAIn1GDygpGB4EOBFADi5GCDg8qMRAgQUgjqYx8ln5oCAhyzusw4ICmghMBgsFB5NgAgMHM6mM AwSaAJwJJTWeZWRHKEWBh3QZG54Vjo9QuoCQZDTkMLF52AcMEbpiUpNSnPZsEjlCnY4o1EESCVCI hFMR0kyERBQdPBCFqACERlQMmCDByM3ERCaTgiMZphDp3N0nIgJAblhKI8xAZJREmkKiBMRCO4QA hIq0OJiQtGi8aO8nRfLQkcAkWI8ERgALBQejwULBwQAwkchgQBpsgKxIiMBgAI1sRAcwHvaDQicj Lzg+ocxogOBhLUAXNPCF43OSFPyy0QGp8EA9HBAEEHRSmdGx2I4ABShUaLpDPRUlB9Ni3gCCTuZh BCUlaFJGiMEbeLYk8UCj0+aAg1F3VEAwOPUEsPCJSI1Sxgg5foKCzgYJwsJIggoRB0dDN0ZARAmg pDEakUAvKS4fAlTE6qxF1hTFBg+mOSon2fKQgCJBEhkJcgFAwWIlBMRCNQZCHdREfDwink1qOFQ6 BrBbsAhlAtc2lbXxu596KhHv6af6vL4iLp6zXG0ZkdfmNv8yIstDVygrFxmqJiKyU27WnLH9q15r rvXO3m7/vddaZ9NN3/7fPGWtRJuL2tr/d0+7Vcvia5ir2fIq/n/jW+fmfO/UX+TDpb/YzjL5tVdb azxcz5JZYro3ds7DxRpLxv796ux7uH6z9X7TTPQ+XI3JkJuVfUP9kmc1pQFkofIsVCWTukDylODS mGTWxLow8HGB5OmUTArDs1C5iJbGJKNORAsX9sLVratprmcpLhglmRGf0KQmJXGTmtSkHi7jPhFw wgV3RiujzWaz2eB0UEmkDpELCIxGRESj0YCIaEI0Go1LCJ94XGRgJpOZNi4sEwU8SheZzKQymUl1 WN5hJwUBgYkAYbno8Fa86EkGwQeFlJPSiHIAsExqY8FEwwLSQVQhCWVmxNHBmI6ouf2u2YjP56tK 5Les6rP2tqkq26astbrev7Yz9VnM7RuyRGx9mJuMNbymy3zZWOY1XmW3jKnP+rZjzboP2a7W3P5E ZHrZbH0q6zJE1D1PXs2u35Xo75vXO3c3V8THY+nqs1rZv/Oh82Je7fRG1DxPX4utHTJebR+Tbav6 cuRkVkT8vG0sF5Hxubq3s0fExNfzb4XSmk1bY8TG++71/vqMtf9nt96Lv1s3+39sl9rot9sKxb+1 ZJn9/77XGC93xuutiOqXz4sf/bn1f+Kp8/re/VxFbH7tWbUs78R8bf/598yLlzHlzWy1sXitrFQl z+pcUBJi4OGhRM3XmKoPN2166Aol97s1ouMp6gYKxIExTdOkRiomFTS8SCitEenlQmlEUlkjFZMK owsma5TBpKSiSCMKE0xICyQkRCnnrHle46ZEusyvW1OiV2+t+bPkRUz+y2z/rVpWX+f/niNDKSnR bnrT/f8mWo1hN6eeZstDdCVa7qqsvf3rXnPnPtb2WreX3aJ/Wz/GLHtVS2vNquRZ7CS/sV3//22H zU63lWj1sfuvKxFfq/MfNqZEfyybalnMyxQb+2/s/hWvl6mNxRcgXcX2erhQmXAs/LDsxRTvGfOh 9+LjtssT3bMZ8Vuy5z53bzPT5cvtbe1j7bWqPpy9mr95tv93v05d78/y2xFbN+a2RMbOdrF1xpoR sf8+U330L3FXa5aNi/65Ppm3dUb0PX1dqs/cDRGfXaN69gaCLagSfBIqpwyJiATRFCRJB8IJEgTD QJIlgd4x0gMSYPBYjgRJlGUcMkYZQwghREREAhGRQESEpEpjyHYYqt2Rk10o6EYT5izAlZUzkMUf Tx7972Ic6tY9EDTjRrh57TTVbs13MgQgQWVYrPB0zl7azFktpV1KRL7FvPrD/1VECAQqnQfZ/YmQ z7IDs6Ty2y8ISDinwIVSDi5j6iFnjqToqEaPIQ+iCoQyTiAIeBCudvSrCuUVctE/K6JuGdJazgMP H87oz0SwKXcwjJpVpABrsoDtlPM6yW0o0uRdmK21fdvnvd/Wa9DLaxnnFRwoOLgXhsYVleLWt7MH SUugDfE5qT2B13CDj+KgNJSrs7RCUdywCA6odQAQnHCUNKGhdIn3EhlPR6TboZV4l5oWeo7tfxnu oYk7ltDhmTnsKOAlRMMAXCogkYGktDwt/5R9MHftgKgyHL7v8AI2PBkVCkqoOjmHMkPtS0gdJFYM DavCXc877Z76uRykcYkTPgjY7uiAltLoVI32xNJ8D7+i2rI1JKnru/f1VXAhrFY/smzlMZ4pG2fR pRFSR24bIgwZV0At6BFzljqMXH1wgxNYCKZkQHDAo2PKCHGCAp7Sg2B915MSF+NixTkBGsRD0x36 mY5GAOLChSigI5zYQwFdytxA29gGjnwrA9IGJ0BUHuIbYxL32jb6RdHhx/fQIHCgiYPe8wHtazcc 00iDllQaChfnjZ6U9VGv+l0mYclj1NWTOwVfPfwVddrRxPKqLydHcbj68MtUgapPdwN4/N98Eeao YilgjoJpFL7iqOrqA/pX9dkPxRAn5pOjLAVgC8tMuZPCSnKZo4I0KmWvu8bbzPDpxUQ/QC/4HEWr ShyNSqhG1TdH9d8BYVKFbRlLtG3+P9/bsDtjfrNkg/aL2NIywV45CbN4GZ4TUTZvEu/HCr4rGBX4 MAJm4oBWDHzImlHeiQuV82AhJoA6P60KUM1ZHDSJ89KgDy1YERvNhveZ4FKCdnI5qq/PnCf4gxKV oXqyXMglkM7ExU1CU2UXY4QHu5o9o8DZKssZ6fHDKQ023lADaIuXPwL6myTHWLqjbIlYcukbee4G wys31nSaTALCbf83OTIX+f5XBtItWTI5X40s1kiLgZmkZopJsBbzrYZzm4qxDDBHMGcSIGkkQ0kg CdhYdlMPqEEUCZHlTNSr4Jqzw97HVFlwSoJPEBrLHbVMn8rihSAMyfjXkt9bi9W65FrIXDp8QUVF m5gn0sUm8RUQnzdDOHtRindmRRFRw2uGuq+Refx63vARhvC0qeaAn+DzFOFPhzh8uNCPyQ5B2RoL RI4w2hsZrPuP1yvuHhVrGUUrUKlh8OdALvjoFDqPWPEcXI+HK3XepmQq+F1/XkPCZ90lNvLcq/fM 5VYmrfvFJ3wADrKcbXeo12Axvc77c4srhkcbejo9npeUFP09ul5x9sxsPkY5j59H/R1Mooh3mHuj Qmj4KDRnKp3sQSlhydjxuPez/HxfkxPsPZsxDygy9wMDnqzn+amUUOBOzrbxpqDqNrj+aNqv6Q2s ssoLJkXbWIV1D4gdAfvmVl3JfuZpvpJ+9mZLUW7atNrzRUwbCN1jNQwjMtk9RGI3SrKFwTRwxICL wyg+Uio8OuSjpwtFsMKjRB95vWZihUeMPmLdE2Vl4fvIFs8jUqGyM2WD1CUxaxkFfcY32xkCP4gi 3m8Uc271iSKPLbqaqJ+GotVsDEPAdMBIaBnI9eXHoPRJ+QC6F77Q9iHsb0cQPdswLOGDZapl1bp0 It1zMOKiaMT4lJsaYJGlnx4kj5yNo1jqjZX873lZ5oLwTPtl/0DKDtxsM9zMMrBKdiSgrBgVcOMI r0EU+vfdRKoiYOTYS5MBGeD3BwnxqqVcUuKG18rrCjBeNUmlq8qeR2ERxhSWw8pa2v25iSUQ75u8 QLDbfZyyZrVERjNvUZHndEwBmN4D

In vivo PK screening

Early screens for toxicity liability risks to select the best compounds for lead optimization.

Learn more

Your transatlantic drug discovery partner

With laboratories in Europe and the US, we provide biology services integrated with medicinal chemistry, ADME-Tox, in vivo DMPK, and development-scale CMC programs to maintain clear data flow and eliminate costly handoffs.

Integrated technologies for smarter drug development

Our integrated approach combines ADME PK studies with medicinal chemistry, in vitro pharmacology, process development, solid-state chemistry and CMC.

This ensures consistent data flow from lead optimization to regulatory studies and early GMP supply.

This integration keeps data connected and decisions confident, so development stays on track.

Resources we think you'll love

CDMO red flags you can’t ignore: Regulatory shortfalls and misalignment

Part 3: Could Regulatory Misalignment Be Delaying Your Submission? A CDMO can have the best scientists, excellent facilities, and strong technical execution, yet still fall short when it comes to regulatory alignment. This disconnect between scientific performance and regulatory readiness is one of the most damaging red flags in drug development as it could delay […]
View article

Whitepaper

5 CDMO red flags you can’t ignore: A guide for biotechs and pharma

Selecting the right CDMO is one of the most important choices a biotech or pharma team will make. The right partner helps you move efficiently toward IND or IMPD, safeguard quality, and anticipate regulatory needs before they become roadblocks. The wrong one can mean delays, rising costs, and lost momentum. At Exemplify BioPharma, a Symeres company, […]
View article

Whitepaper

CDMO red flags you can’t ignore: Underestimating technology transfer complexity

Part 2: Why “Scale-Up” Isn’t Just a Bigger Batch Transitioning a process from discovery scale to GMP manufacturing is almost never straightforward. What runs smoothly at 100 milligrams in the lab can behave very differently at the kilogram scale. Yet too many programs falter because the complexity of this transition is underestimated or treated as […]
View article

Blog

O.N.E Symeres: A practical approach to real-world drug development

No drug development program runs perfectly. Chemistry misbehaves, funding shifts, and timelines tighten. But what defines a reliable partner is how they respond. O.N.E Symeres is the framework we use to keep projects moving through uncertainty: openness, nimbleness, and expertise.
View article

Whitepaper

CDMO red flags you can’t ignore: Undefined or shifting project scope

Part 1: Is an Undefined Scope Putting Your Project at Risk? Selecting the right CDMO is one of the most important decisions in drug development. Yet even experienced biotechs and pharma companies can find themselves trapped in projects where the initial excitement gives way to frustration, and one of the most common culprits is a […]
View article

Whitepaper

Accelerating chemical innovation: Unveiling Symeres’ parallel chemistry

By combining automation, data-driven design, and deep synthetic expertise, Symeres is redefining how chemists generate and optimize compound libraries, bringing speed, scalability, and creativity to modern drug discovery.
View article

Webinar | On-demand

From racemic to pure the art and science of enantiomer separation

From the classical and Dutch resolution methods to preferential crystallization and deracemization, learn the best ways to obtain your desired purity!
View article

Whitepaper

IND & IMPD enabling developability roadmap

Drug discovery and development is a complex and iterative process that involves the identification, design, development, testing, and approval of new pharmaceutical drugs for use in patients. It encompasses a series of scientific, regulatory, and commercial activities aimed at discovering and bringing safe and effective medicines to the market. A key milestone in this process […]
View article

Whitepaper

Innovations in unnatural amino acids: Advancing functional diversity and applications

Unnatural amino acids enable groundbreaking advancements in drug discovery, biomaterials, and peptide design by introducing novel chemical functionalities that enhance stability, specificity, and bioactivity. This whitepaper highlights Symeres’ expertise in synthesizing unnatural amino acids, including side-chain modifications, N-functionalization, and cyclic variants, for applications in pharmaceuticals, diagnostics, and materials science. Utilizing advanced techniques like biocatalysis and […]
View article

Whitepaper

Leveraging copper-catalyzed ullmann-type cross-coupling reactions in PR&D

Our experience in overcoming scaleup challenges and harnessing the benefits of non-noble-metal catalysis makes Symeres the CRO of choice for challenging steps, such as the Ullmann reaction.
View article

Whitepaper

Managing nitrosamines in the pharmaceutical industry: A comprehensive approach

A comprehensive overview of nitrosamine risk assessment, including potential formation, scavenging, and analysis, is described here.
View article

Whitepaper

Optimizing solid-state properties and enhancing API bioavailability through physicochemical prediction

Here at Symeres, we have our new ‘Solid-State Center of Excellence’, and in this whitepaper we describe how we utilize our expertise and novel innovation to further our solid-state capabilities.
View article

Whitepaper

Stable isotope-labeled compounds

Discover how Symeres applies advanced synthetic chemistry and ADME expertise to design, produce, and study stable isotope-labelled compounds that enhance precision in drug development.
View article

Whitepaper

Unlocking the potential of high-throughput screening: Symegold library design and expansion insights

Learn how Symeres combines advanced chemistry platforms and deep discovery expertise to design and expand the SymeGold library, driving more efficient high-throughput screening and smarter hit identification.
View article

Interviews

Insights into drug discovery and development 2025

Here we interview our Director of Medicinal Chemistry, Anita Wegert, for her insights into drug discovery and development for 2025. This interview was conducted an interviewer from the Drug Discovery and Development Europe event and we were able to share our expertise. Curious how our insights can help your next project?
View article

Interviews

Interview with the computer-aided drug design (CADD) department

Our Computer Aided Drug Design department supports our clients' drug discovery projects with some of the best (predictive) software.
View article

Interviews

Meet the Organix Director, Mario Gonzalez

We are pleased to share a conversation with Dr. Mario Gonzalez, a Director at Organix, as he reflects on his journey from Argentina to Massachusetts and provides valuable career insights in celebration of his 30 years with the company.
View article

Interviews

Interview with the new Managing Director of Symeres Groningen

On October 2, Dr Melloney Dröge started in her new role as Managing Director for the Groningen site.
View article

Interviews

An interview with Yadan Chen and Paul O’Shea

We are pleased to introduce the founders of Symeres’ daughter company Exemplify in New Jersey: Yadan Chen, CEO, and Paul O’Shea, Chief Scientific Officer. Who are they? What do they stand for? And how does Exemplify fit with Symeres?
View article

Interviews

An interview with Anu Mahadevan and Paul Blundell

We proudly introduce the founders of Symeres’ daughter company Organix in Boston: Anu Mahadevan, CEO, and Paul Blundell, President at Organix. Who are they? What do they stand for? And how does Organix fit with Symeres?
View article

Blog

Crystalline and liquid crystalline 25-hydroxy-cholest-5-en-3-sulfate sodium and methods for preparing same

Organix, a Symeres company, developed scale up conditions of the synthesis of 25-hydroxy cholesterol 3-monosulfate (sodium salt) from cholesterol. After the protection of the hydroxy group (acetate) and double bond (debromination), the hydroxy group in position 25 was introduced using oxone and trifluoromethylethylketone. Then the 3-hydroxy group and double bond were deprotected, and the resulting […]
View article

Webinar | On-demand

In vivo pharmacokinetic experiments in preclinical drug development

Despite a good part of ADME research in drug discovery and preclinical development can be performed using various in silico or in vitro systems, eventually it becomes necessary to evaluate the pharmacokinetic (PK) profile in animals to elucidate in vivo DMPK properties of the drug candidates.
View article

Webinar | On-demand

Accelerating medicinal chemistry by rapid analoging

Medicinal chemistry is the art of rapidly evolving initial hits to clinical candidates via smart, information driven multiparametric optimization.
View article

Webinar | On-demand

Solid-state chemistry part II: Optimal form selection by controlled crystallization

The webinar by Dr. Edwin Aret of Symeres focuses on advanced strategies for selecting and controlling solid forms of pharmaceutical compounds through crystallization techniques.
View article

Webinar | On-demand

Route scouting for kilogram-scale manufacturing of APIs

The webinar by Dr. Martin Strack provides an in-depth exploration of the strategies and considerations involved in developing scalable synthetic routes for Active Pharmaceutical Ingredients (APIs)
View article

Webinar | On-demand

Solid-state chemistry part I: Introduction

This webinar, presented by solid-state expert Edwin Aret, offers an insightful introduction to the field of solid-state chemistry.
View article

Speak with our ADME experts

Get expert support for the discovery and development of your next breakthrough.