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CpW8WK6IuXKhmF\/KF8SlUq2YXc6J2Up2qVwor+bLhUwxV8xly5V8USzm87lKIV8s5Kv5QiVTKJTFXLGQLRcrxVypXCiWa+XVUmEpmy+UqoXiWq6SLRWqlZxYKJcK5Wp5rVDM54uV6spquVaqrhTKpWu5ar2wvFarlnLL+WyxVFkqrlSW8uW1pVq+ulzJZ5ZyxfJqcXmlnC1Vs4WqWCtnspVitbwsVlbyS+VcZVWsZqrFQiFbqRWv1fLLYr6wVitXK5WV2lK+mqtUlirVUnZpqZxdXSnkxKX8aqVYW15aKi6vFIqFcnG5sLxaW86WitV8tbKUW64Vy4ViMVfKVyrl4uW1fL6UWymXSrUrhVz1cmkpX6gWlivl5Wr5SnmpMHRAVswv164sF6rlYrZUuFzNl6oFceixQr6Uq63lxJJYrYil0lK5sLxUy63WssWlYnE1d7W8Vl2pZHP5Wm65sJZbLq+IV4sFMV9dra4VasVcMb9Wq2ZrK8VKqVRcLhUKJfHalYxYruWz1WKxWChns2trxeVStlAt5iq5fKmSLdXENbFUKpdXSlmxsJIvlguZcrG8XCsvicMAlpYKuUq5WM\/m8qWVUr5YrpZzhWx2ZXm5Ui5Vs0ulUj5fza\/mK4XlQi6TrYjZQrZYqxWyBTFbzQ17+XI1W10pF0r5fKGcL5Wzy7lCJV8sFStLtXx5tbxUWy6sFvLZUjafq5UruWohL65minmxlhdL+UoxV8hni8vZXLFSLmWHOFwurmVzq9lKvlIoLBWKJXGtuFQWK8VaeajpUrZQy9VWMqVsMbe0nM\/mivlsLlfOlfP5SqacKxRK1WqumikvVSql\/JWVpaVCqZBfy4vFfKWYr9RWKpXq5WKxkC0USqXSUrVYruZKlUouV1gu5kq5slgUs8ul1apYrlTKuUKxkC\/nxXI2X6oUM1WxWBg6OlcrZlfEQkHM5grZYrVWKYnlfKlYrhSztVI5V1oqrIqVQqlWyQ3DVsmJtWx+pbCWXSosV6piKVuqFgulSmW5VrpcWBaz2ZxYKBQKxaVSbql0pZAXsyuFQi0jFiq5ajmbyxfETL6QKZZLxVy+UMjns+V8JpvLF6vlQk3M5FdzuWy+ks2Wc6v5zNVirpIf5q6YLa3mllZyq0vZaiVbyOYqxZVCPluoLecLhUqlWlzNLuVXLou1XKlcyRRWxFJxKV8q5LLZWma1Wq7kC7lsNZsrFAq5QlkUS7lsNpctisVsrpTLzc3PLYkrhfLcsbnA\/\/InNPr3j5+CwUAgGBrRwIF\/vDI8pAiGA6FAKAzXBkc0wRBcEQqHQqFgMBgKBcIjFqFhEw4EQ8HgcBqKGFIOByB5IDj8GRo+B4dfWwaGy4fLhtPD5yENnA+GECkUAvkFg+HgqDMcHaoXCoQh3ZBRePgcCoeHj0O1wsFAODTUePjN8lDnIRG0IBhG1gxtDkOFA0H0CaAfD+kCaA3yFeQYhGvgA+oHw0MXBeBjMDz8A3lAmWE4C\/+NHsIjOQ8fAj\/ZfzgWRhPD1eFwEH5PGoZL0XrYH87BYTgJP6P5hyLgt8KjUUgeQAyHncCwCUEPISHIaCQuCK0NP1yBrAwOo\/rQuJFywVF3NIvAgmQ\/FP0THB6uH8YtBOnCMBDInUOlELYCo3iEYZQCo3ChZ7jmp9AceviInkM\/AXrUhB5RBSA4YTN6GooKQdeEhsYOTQ6FoW+Qh4bDo08oAL9sDwchpIIhpEcI2h4YQis4zI4Qcs9wLojmhl56BN+PATYCElo1AtyQBP4dDsMpyDGAJEDPhAKPUDnkF3poC7InBBP50cDD4bn5uXqtOjx61H\/ep\/zw3+ihXK6X4QeOoh\/wE4vBn4\/6JbEk1uuxUr1eqoulbD0rlur1upgdUoiIoD78k42J9Ww9JqJFwykxL9Zj9VBIjAn5bF0UssMVYqmeF+rZel0Q81mhDpkIa0KpHhHza\/VSvZ6HRHlRjOTrEeGyIKzV66XiWqSeF+uRurgmFqHINWFNyNdLa2v1tWI9spar10uXL+eH\/CJr9VyxvlavX67Xi\/V8rpjLF3P15Xp+OZcrpnL14Z\/UkDC3XE8Vc\/V6rj4kHA4tI5PjuWK9noovD7u51JCgGK\/X41fr9eLVq+Gr9Xo9XA8PO8On5av1+nAsEA4MB+vwR7g+7ASGTb1eqw9nh+PoZ71Wg+OQphYeEoRrgXA0XI8G6uHRcthE61HE8BHjn\/kJfvwY\/Uf9\/xntz\/us\/I+91Z\/srf68yZ9cuVp9+FRFwyvDp2G7OnqoV4dPK\/X6SnU4Wh0OVxGz6k9LGX4K9cTwU6\/XKwXUr9cTlUqiUqkMx+qVQiWRqBcKleHqROGh6CHdiL7wiNNPsYWf9E9NpB9NL6Vh90o9nV4aDqcz6SvDpr6UTtfTVzL1NByt1zNL9fqV+lK9Xs8Mm0wdPsGmjprM6N8\/4ZMc\/oU\/\/omfa49+Xrv2sPdP\/oyKx+rcsc98Zu6lZGFJLMwmV8Tk3HwouhCIzAdDwYVofD78xvxn5p67XEklH04HEwuB0Hw8tCDE5kPD2fPi1dnXaiul0XwksBCPzh+NhxcSwvAXWz8z91whWfkJ5vHE\/FEhsBAKo9mLYu1yeTQbjg9lBkMjuRfzYrWeF6sP14YWotH5YDCyEAwhgrOra8lq6tHySHAhGJwPJYa\/KxtEDJLVXP6R6uHgQigELYuEEYOTyXIh+ZB\/WFhIoOnYaPrZZK62OpqNLUSi8+GFcAKxfrFQm82Is+eSVbGwUhvRHA2FhiyORsKPzHu2tjq7WM2JZfEho3B4IZGYPxoMCgvBkYfOJUvJlbXkQy6xhWB8PhiILQjh+QhkUqg8mgyGhr9tfDQeHzZw9Yu1ivixBxLzwdBCREBaHk+upMVyrZr8eD6cmA8NBaP5y6sfmx9dCM4Hkfeg9S\/VSm\/WPp6MJeaD4cQwuCg4hWouuVRbeSg6uBBKzAcD4QUhipQ+kVxNpsrJajr5seGx+aPxhVgICX8umVkpZD6GTWT+aBhKQX6rZmoPVYsGF6LzRwPDuMPJxVQhU3ykeHQhPPQ5RC3kK2bEcvnv\/qj6KHIhYf5oPLoQHbn79SEs6vna5YfAiixEQ\/PBYHwhNkLei2K6kH1o2VFhIRCfPxqODGMLGbwklmcXrxSuPDQstBAQ5sORhXgcaXCmNnsiX5h9rlDNz54orL350EWBhbgAAxtLjHyUF6vVj1MrvBBIzA9zQ0CptVjOFcSVR8CJDQWEh3GHUl4vpGofTwnzQ0QFRtF59nKymkl+bIAQGXIPhR\/qd3l17ZF3Q4kFITR\/NBFdCEeQfSeSS+LsS7WrDymODjEbmg8Kw8QJvvHG\/Fw+WZ879plfGf4a+lz6zfTc\/FwV\/qr83Pnaylp+dnGtnKyuFYbjqbljc+deOJFbPHkysnjm7GL66vE3YZs7Xl88c\/ZU+oWXrx5\/9elT6cWXrx1\/dRH2xcXjkcXTF9Ovn7tWqp6+mD752urzxcXQsw\/ba+dOPl167uILsD0bDhWzyfOJWjg099b8z1Dp6eTqmrhSnUWqXUimC9lHmp25ejyyePZkffHM6mJ28Xj857WXFo+\/sPj088dfqJ07mXvplaXzy7Xgslg5G3utuFR4fnnUVs4WFk+cXTybW\/zZmrwi\/nxNzg0lnF88M5QoXkWSUXv1H\/XXaounc4vJxeOwff5sLlI4WTgL2wvJk4nahVDuqeTJ1XNvXq0+eyK9eu7Ni9Hos9XSZfFi9OqnPvWzNUMana1mCsnqSKHTueMvLD63eHLxzAvDoAUWzzy3mFkcBg31XxWvifFT4dULz9aEyznx7PFa7kxhUSweXz57phZ7PlFbiRWvpBYXVxcXf47Qi7XLa\/mjQ6f8tOQzV0+knwrmTiyeyS1CKPwPbeHS4rkXFsuLJ2AbP3tltfj8m88+bM9Gnivm3nz+5NnI+Z9y1c\/WYvHy6toK2gdWxFyh9lCLs0MtrubOLJ65NLQ7+PPa\/OKJpxfPvrAI21H4Cz\/dXirlL148de7spVLl6mJq8fjq4ulh+z\/1yz+Cx9NDbSKLzy2efmHx9cXjpcXTF3\/aB+fqq9Xn30zHz10ThpDJLh6H7T9dwpnFE+mnnjp5bfFMbVHMDYEG2xgEXu54rHz1xKuL59KL5asn6\/krz5wWIq+O2lQ9nx22r4\/sQvY9kiwufyz4RGElfblydCR5NiWW10biX8wdX33qfD36ev5U+ekzT7+ePp5PB4JXLornM+Fg+YWXL127tLp0UayfWzkbzBVfOZF8\/eWl8qlXll5Olp8JP72SupR++cVrFwulc7EXakvnT18KnLtQyz0pnoidPR+7mn+9fip89pX0m+ffPBt+rphey5dDp1999fVMvlx9KZS5kIq8diUvBi+mXj5XezmUf\/X8qTcDrz776qXE6xevla6cvrh8cq36ZCh9LrpaKZ8UXzq\/fCW0\/NQrK4mleKKavfr00uLF0v+iueeunjy7+FTu\/NPnVl+o5E+kriavnKmmxXQxfjpbufx8PBJfOXH1uWcX8+nlcxdXFl9ZPZ58JnZt+cSl\/PlI+NSZly+df7l49pWz+ZdK155\/6XjizJnAa089X028eCF06anXT54qPHf6zJWsGH0yHg49HVj8ibT\/p6l3fvHE64vnImcKl54MnxdyQjx45vKlxZcvHj919rUX8pnjpwNC6qUnr70aC6aCL194+aXgqeqlV157MRF8+sxLLySvVpffTKaefP1K5Eqi8mTo+HLo9Mrra5cuCedfunrtSvCSeDFzNlC6fPFi9ETqhXOr1y6Gn46nLuYvJ0PR1Kvx6pVl8VQ08Er11MX0y\/FEdCVw7ud4N7lSSKXEZHV2qZxcE2dTtcvVTHLlzUcpc\/yFxXQ9cqIcCL\/2Yua14+VU7OXLSy+HXn4zfOb5+olnn3rh9SvHnwkeX0nF1i4\/GbkWrb5ZvnQy8jNlLZaXClXx6JlCJVlOvpms\/qSzLiwuvrJYv\/DU8VeeO\/Xa1bJ44uXIUvLC2vEnAydXM1cyVxfPLD59MXf+XOjp4msvxs4Lixdray8WgqcgvbB24s3Asy8nM0v1QvD5WCJVDdSef7Pw1NUTZ5NXErVTp5978ZnE6ivL10KJM89eE8sXkpcD8ZWXLr9w+tris0+HVouvvHnh3FP12tWTi8PqcHXx1cVTZ1975nKmkku8ngqWr1xOPRldiyRyQwy8MT8nXhn+n7Fqeu5YLBAIzM8NXyCE4VN2ODY\/lxXnjoUWovNz6SFhIQD\/y1l4fm4tOXxRGRnOrATmjsUD83MrwbljkdjwYWnuWHAhND8H\/4NaIjo\/tzRkEnsL\/v+4R1xCD7nEEI9QFPEIfcwjDHkEF4KQRXAh8tZbb1Hgy5bXLQH5AWM693Dgs9a2iyA1RjLNPjHgLJqxeBJ8xep3BgYPMHIP2LH\/AP\/hs32ssXdD7mOq66Z+y2Mw\/Xb7q9SG3dmtewZEw\/\/eroGz\/5iOsZPjYxpOOzGHQp6aBI\/jF+0PbezLbwO7OdDvEeDzqsFi+FGvYw89sWeGwxgvbR+gGOB0AEB8F7xL5KQ93+Su+wYugl33mp4N3uYdTuD66PBN3y3HoPn+5C16BzR+GfwyaL\/uecLc6\/4lxU16eNJyN+dcuzs4sYtm7F3t56ynpN3SPeMQfbo\/wU+yDcZFPNY+hE\/JB4lPOi3Sr+7fsb0u2zvOTbw7ibmnzRl5fGuP1DQObwPv7t50R+uNuSf87klcPybNSLjUGbgls\/u+eY9ufHi7u2Hfk9s929pobWxttZVN29z3kZ\/cIx9uHewumPGW0WA23Tv7GM+4Y1biO\/yse8rtcNm+rmdjYsqv7FcptxqnvM0nFcY62AIPaHOs73bsnRzjXX\/16b6yeVTfr7larOlV2C2sc1e91V43b5I\/tL\/TackPfvA26ZuZ9T2B75P83Z0bLmmGODA53sUUV+9B4yvdLazjs31z5rccvd2Als0epXY6D3pGR7fAXzduqhr4wJD7pLRubkubdHf\/+CGF2yYJXGZ1W+a0PV\/UWtQtq81\/i9QcJlAVAH4T\/Cb4t8OfDLhNLqmcB+w2wGAT61I6A\/6Y+qrq2GIwWxjM6bj9FzT4gPyiSjO6W1IwmTVocIP6Y0UZMN\/meGpvbxcN3PQfKtj3ac1+3HSbJguO0MuKOq1qxl2qzcisZX1iEnyP2qtyfzghsQ3ix\/Qmy9iPa1PgiOpTDPmgJZCz4Kw6KZN637iDr5v\/ngG76edlc4+mateZO7QP30uDx+hLsjFjfI0A9ITt2Atw8j\/pdzYYl+FWVc1H8dpYRyPdm1xTITZ9FK61NkGfd1M79ldpk3FSssu3f8LpZPw2pxk+MEmtqL2jMo55NLfapG5zg+3vOVXrPu+b4yyPTBAO3fFp8B+p91V2rHFaIcjDvQk1IPubY9L13lPGbHOvtb+rbX7IPRi7ba4PzPVEw9VRJ\/\/0blAl2W86fsQ\/oJnxv9cw82t0y+MinmdUnhmf8fT428x7lNO5jbfotjawbjBfoL\/AtLkJcHdC83vYCSrc6\/a9Xj8b3p7rmfRjPPg29e8V7ULzjrHR2cY2\/T0eY3l6nAFdKifteYY41jHVTu8\/kfdZkCA\/O8DGtrS2DyjTdz2mxbMgRP+tLL3RnOa+hP2AHic3WMsFvkW8LpkSf5PRmCZlkA2HQuJypO2TxwesE\/wD9auSfqH7eOML3QcKkL7NSfw\/HH7MuUOcGAc71G\/J+CdkUuqbfyW\/A27TFve49QfEvfHd9Jgq9A9ZB8fvMn5rouU5CL5A\/RdZnrw51nhasaybiktVuS8qf6d\/jhvQ982m9wGbpt63\/4IZsE+B29SHU\/udUWNCluh5aQ8\/pfkbXpaf6BJ+c9wD\/gt1RHFt8dPGNH5Qo+UdeV\/TVG7iO2zX8w4DzMdp8BXqP8vYbt3Ta7pvE4wLWNR5RfZIWEe2bhJbTsy66bXtCWafvQfHx8Cz9L9UaDc+TsrYU4NdyomeV5vW7nWuY3\/CbjOA9to3mE2uz7lDIEu\/p7BvMHvtXdqEw0v\/onWGTFinrFPKBc1u\/Tp4svnf2h+q3zK\/au02erK3944ia\/cMAswZoP9t6m3z74m\/4i3qsFvCnErUdZ+4xXqpgwzN3uNl8zSzH\/t15kP3e4zOgqepWU3r2Zu87uAIv+YdWCyoUr+iKE61T9+3Wtx9z2zvCA3uE5JmHlDGDYy+wTVZ8EcE0CXGOqBIlsqtMzrN\/i6suaAGaqA6\/MkCwAwIg5ZiuFefpX33Tsk0ximUxRmmPHGDvbujsFPPOA2SA59g6PED4ASFk55dLo9HZwiXxt0HTd\/W37S6EhjQgGUsndZt+e\/1NrHXpLV7oIdjmgbojt7pUhY96PIK2Gh6KGbgs2SjTxI91b2D2fR9stPXtgc9S1Il1extbW93zS55y3Ob37L6uqXhMmeQ6uObLnLPNqHIDc86eE\/faLGmQSiGinUcHbNFdbS7N78rG127RQGFvzstHb7Ldu1Wu0+3aGmyP3kXfKgA8M3pPyVw87u86egRMm05fuQwx3f2tChs6oHXcgx8pA941DH2ELXb2N0nCXXvDk9RByQG\/FvsRq\/v7DcJ3WU5SJMjwf+Lfa9nKKxmuCnweew\/9mQGk2kTp0jwV9iv9zSLUAmOBv+dtLuWV8HMPveAHGfA\/0kyfdutsa3rlMSZ\/J4KWKGM\/mfBZwEY18a2Zv1HBo7W7PUDvbk+kAbuez7Nt+4f4N+hNyd+7PiWdc\/\/N\/pWj2x9wWmOc\/QEpQ\/Wu93uPcnd3en8WNEHt2VV3sS7O9\/UPiTM3b+E72J5527HuJdw8NomqSkDR0\/ReFVpgL7TYkmmZ6y7bzsA13EyDh\/PWPt4r+WmvZxBDli3ftPQyLZ1j7rDKo4HY2eBVzLBE642szH2EX3f4QAHuRme5CccCWvMsc\/YL7tJzp7TbXMfPjH434gZOcIAg\/ztrvQprcVuWU1cZ7EceI\/4Ad3rWK2GLQ+Y9290eu985Nd6A4zoMxL2RfauMeibzE2zJ+utDzoKUHgdrPsMII3jng39a\/6d6e\/0v\/MFYEveLtUzNjWZslmKMZhNv0wNaNsa9wDCZ\/rHCadpN6hW70eE5MBdPbvjbnmcpDbp7U948MnHwezWCW4S7JdmaNrew1Hum\/w4ZdBjri7DMc9QHBPi\/PqhBkONqzMDGxsbC2lqe9d3jjr4\/h5qr+noc4Zb4YiZHj8PjhH\/jDwHnOGNcHOMOtaZbliAb5FgRqIA62F9n7DoXkv1UO7BdHcd26RNjjTWN9pYS9Z1T4dsDMj7Tmzse1M3JmRCtbco1WM57jc\/GhBgcw942yYdD85s7xoQvQMSZe10qZ5\/24U5ZNvwmpo8oVl2j9KpD6bv+yV2vX+3g6sd6tYiWLR58Of2jkNlJELXxmRPg+5QdGdGYX3gX9vfd8jbYOC4R+P2Xp4e4LjD7XNawGmSA7un2QPN5MBv21POjV26ZWmM7FI8Ok5o+EGoz5exLwNvk2xoOlj3crRzQvfJvvfxlv+OrFmqV+c7zITtoS1w16kQTV6mdjMOefZ9tj8x4XNOAX931phgwHn77ziJ6PSMFm6OOdgxGlyx\/znvsdysRsl2VzoMLoIY1+zveGRzZ9La6GpN0N1pgDsKY8qbTgXrMpKywavYnd0mLflknzmGu5w9su+iXJaLd+KcNkZ5dzsYZooxH2fAN+zdvDbZYdkW9iMHhU3T4E\/tTY7ssQY2rlGq4gJPApuTMMup4E0bH\/TNAWdpLmWX5iUZ5gngB\/+OA1OeMZ3caRsdsmG80zGbfs7BHJYsQh4oSnN9TDU2\/T2gSYzi45QdWmdwZ3cM03pvE1aPksfoMRMobtXFLbhY0uPTPNYMDcJ2lnPfJ8f6fs0CCgsu2b\/CcfsHpnaHuM8A0qu5WPCa\/SkOcymU+j0nAxwMpTNj4F\/adVbBrSMcKR3usca+wbSyyW5h77u+YSnsdc7Edsbc9rS8axfYso+wDxyWu88\/0G\/bYMvb8j3Ys\/HkA19ztudq+qQDNxyWPv83vwTGu76WU\/a0FcXPgbv6f9A2\/P0ZfY8k2zuMhH00D9Lg981\/oV+XGsAwNszWrq6lOCV7fUe6o7+Hbw3IjjEg1b7VYBq62sA1N+2QaG2n176tgh2p3dE648ZYUx1sbvaUHUlpMH0X82cO2YPZXUadtFmPi+Ytn2M347QIjjVJmWVYeUon2WnzCM84x7Qx4PL47DHnGCD0g9K4a9zyM2Mup5vVaHIOcBMTDGX5ffpM1+Fl7anrj5neraMycWdHfoLwev0+guQHfBs07nz\/HRe0711gzymq1nJ8ffL7k\/c3TnO8i+H8pvsF8HvW\/6X1+A6h8DvaO37co+Pbqrz9EdAMhe53d3pNtYE3eh\/yJrUDdvotrNfZATu02n9f2iAMZZNSOEU1OIUw5T5+X20NJLynKZ0tTGUwd8cecNoJ0Ozf2zGBTG\/NfM+pOSmXdNAaYz0T9B3\/2AFGnXzcQXcfaERv0eXmn1Aw7pfn9hleepc57XzL+ymd4nnqAvgD+xn8ParvfODAFe1WX5PJd7XBOEFt46Az3sY7Dl3r421OxbdoG2\/r69MYq01j4wZ4wOBAMm2711KIgdHw9Wck7O\/1LdrCKTdJMhbFMsChYSa7Z4\/PHuPGJxniSWqKnyF8\/s4+fa+Lszh+0vSQBM6AuZbL4uhdMtXzb1om2+82Bu9ruvZAk+kNzAs+sj9N+Ppnwd4p4HT7sZnXLhwBzifv23elP3n\/nR9\/56\/eu70bfNb2EuN3nfaTfzoBDk0dGLilXTMmPwAqA9ytXcZejmb9KgvcW60\/By2n0lV0W7nRU5VfBP8f2MbcW1O4c+C2aGXMsFUPw1k0TRm73Zb\/VRtMPQbAVXClwZj6NrHB9v0Dyeho2g8HCtEydhSpvyHp0rbWxA5ojOSxPDgm65bd16k+vr5tSc6WoWiWIRk2aJAW1jFUXPd1zc59SeuprqPgX2EfYn+M4c37XZ3UNBnvqBizQ2qsbht9ZbDdlXbAAxXv7CgPKEU3rDZNTMqE7OxzJJjxD2aAS+Fx0HMBRtnNjs3MYEGnv71fd4x\/cOGDC17wa1hWawJD1ygdEB+aMj2gceMAyXAyC4g+RRr7xkEBy2oUoHWSmsT1AyoJHJoNOIVXFFLG2vqAMk21qxA6bVPgNyjZxe7qAXuLNn8d+z3iR0RfNne2Gzv+nrUx2WtjsqtHNVmVbJp9123m+5bpe8BsOluE2+dj++w+0jabHEbz2DhDOHSeo236x3zf7DDrThVr0zZJOXv6+2MSPk6ylEb2CMy3TZOcRe2YA8qitidlUmZYv+b0kKZjkts+\/Is8477rYj1Nn2tq0zPmuu0mfKf7B\/TY1rOSp4cPNvVbnj+wup3ZO8TgcZ5g+6yrF6B8nu74U5ZfHXM7nS0n7+xowsBhPhgA1Uvtd1K7a7anv2PtYtzgMLevP+WacmwzvPYLdzO827FNAnyDpycH\/sN+F+nRo32yvaM5u8w9vT\/ZU+6+b06yLDXJ05zP2Xfx2JZTH\/d6112HPDrgB44dxZhwy+wc9vjgsK85YZEH8c\/wbdcUNsUfwaM0g0d0n2MeHGZpbox9Sp0z7htHZZr0g1+QjqpeSd\/8AyVG+nsOiiVmzUWJNF\/yYsYz0myPU\/rtXcrsxJg8S81pR2iPOevvcjPaZ9TX+75OhHzBeEzxdUx9F7nbOEt8onmQnna1OU77NP64dEze89+AvI6tS\/6WU+dkQtfJD1p\/vv5VWXXd7bzNyMoOfr+n7mwomD5117SbbVlmpQ83Vf1uQ9u561bO7ezmnD4eI\/cvnPIe2uO1Ntr9re9Mt7W3P3qn71P\/1I0Tt6UH5N9pX\/rhF3\/4F+b+Pq+P8S57cmtvC2u0N6xb8t07XfVrf91fBz2+37mvmm4T46cIn874zOkx1yQzM6Z9pLTAnTHFvUF\/OK4+ft\/1PeM7Ult3DIA22G7KoHeP3bA2uM3uXeUHxA\/HbhEN7V32rsdgf8xubjf6bK9BfZfvgW26df8v9bsuyVxnZbLrlImBftd5byCFf+B9QDM779g7DoxZ1xvjKnVDbqrv6LL6Z6rcc2s7Oik1ugdkHbunafw6uC1vTf41uLX1447l3N5qG3Sn3\/Vhnp5rYJm8A7xEv8RQT0pHdhaauvku\/Q32prtD3ndFaBCiObYfUnTl3+w+hM1yoEe9z9uRwdlOG\/uCftP1nttB7mbAXeq3HHpY2cRvMR8wlHmYBn9J7fDsGL5L3avhxJ9x4Fn6VwnyaY1k9xt7u5+ntmgH9i4Nfon8Oob\/LUsxu9V9EpgCf0ctkP4Ap09VyRPMHHFEcWs96UvSl3b+9v2\/bZOtI9ifcBp1w2FSE7ztfwzfGQch8gnHDtMA39xD37nbb4x3bWen3fMZjwMPtRsb7+\/GOT+v4FyPmgSfpi51+7buchtmrHlEblg3G8BQsB3njziDaFibzIAh9Q2ZUwbPgw9FGvwaxXftdRfAxrU96pYL\/A7x\/+AUpU8MPNiEaphb\/fvkgCfpLX4KNykwjb+rYlM6ZmyxFg324g1V9nZN3HAAXmaBgt1TbbrN9IGtO3VadZI86OmC7pzWfaxT9qqadp+R5RYn+UCCfgpjGGzf1meUd7p9o9WS7A3XDxk\/dcf3vrfDxFQH2PskqFFVXHrHzbIPtNsdSd6htux1fkvb6JnEBwMdNL7yFZVRVLDT7N3HJNeG+uCBs7v5vnGfvzehLmguvy868djxlx57jZu3Z3377UPkoc4v6eu9SQdYpA\/hgzvW14iv0Qa4y23Rv6jvpcf7r7Nggm5iyrvUh5SL7pNPqKy+pwou068ZzhP2KWYGrNqrnbeU6\/bvW79v8MRp9ZP0EdXX32LPMeeMTyqOnf9gfsVeuPf+Ftabtm9pNweHW5S13ZqxfqBMqZr5jd4uGbDv6ZK+uzfTZo0b4+91GWnTuvDRb6n\/VW1s3+v+cPCX\/VbX7kntW232RsO+570L3nM0xnu7PnRJftN\/38Mwvakxdh\/Leqne2\/QDt82z+i+Mv202qNbY1BNvs+sscH4b\/Hf7z8e+xr5BfY79AUvwz3DnGJb5FutzP43v5RSuAj6lTTqi7SuO73EEAyJGmlJd1pgBZN2+PUWi0zxFkD5y3GQbP+BNAXzVPI3xnM7KpD6BO3j\/ObDl61kqhbs94zxJ8Yrf9pFOL407Jpxuv2evefBHnjsW3u6pKhg4cQdHAu97vV7rw\/Vb16WOcluziJ4hk1v29uC60gMyowCVk03gM90aQXvtT13nwV+bJ3GNaUvGQDMs1dOZmCB5jcuCf42\/LxFB09p4FsRZAA5u7d1yarzm8zoxn+K+vneDl\/YC9tbghnnDdWNGm1BYz6dY1xzHH8T2GZRk9wd9wyA2FEoHSl\/FDcMC1wcAyK1xFYD1tmQQkrnnJtUeXN\/3Oc82e4tTHFsuiddxhrJoiga724F\/4Fqk4SLcW24dH4xvH24ywHVTMR\/Q9\/aoOEb2yM2pG\/4BZvNNz0AGhkt39DwPdlmeTcvkW44+xjMMh3na1OCTN73wFI672hMYs3Go65TlAd2TB5tk1xqwO6Dn6J3z\/jvwhvlD3aFxnLs\/fcNWvdtWbyE0vs8LHJIhHWQI1erMKtTQo9u7cYdG0Q5rF+fU6QFjOQnsgykF0DM63Qd9fotRyC3\/1iHMWO\/c0wzw\/X1Yv401HSrWZSnXwC8TNAcop8Py0eNP2P5P8w6DUTwA87AY3ncCcIShmzxODBy4lybZKRanPaSNt2YsSsYJZT9FOw4zDG1iDp1ULIORSVVvmTu05LR597S5240BnzJO0yqLcSx7wI8x3\/eaji5odTTaPNQALu\/OsT4\/MOhp6Qi2t7Vva0bz2D6N+YC\/qfz4g\/fuA72jXcfeVRX1vrne2DaUdl8H28otuatttTcara7ZJ+\/Kg+6NrQe3d+RBLwAO27+p2TM06dlDztywm5PGpMpKk8CpOdcpoG2y9if6poprjj71QB7gusbYfFP7Vkv+UCZNbLOtuAfUerNldULNMZqVPKZLmnT5ZIZiDJ7djzHUbPMXwefsX9OwZuNHLW2A630ZmFqT6zkU3XYPGNvv9N6xLY5w3PKr+m1bUtShT7hbTV1ybrP2+Htz3\/EpFPEvvjhxh6PHZDft8iq4risA+CSWdbhJn5Odnph00R4Lpzb2bjtNN+00GNwpeRo9QA\/4Z8Au8DXNMv2SqoH3+8ByKrbd6QCVHZBfkRwS0MZdfMfqk6rWJ7oT\/em7lu7YMTWizemODdrEWN5mSYyf8lKqgxzTKcpn8ApP2DRNOgwCB7zbg3NTBO8EThK3vdMHbEajNMPob+6sKzbfZRpA4e3DLTcxZzJNpWtv8JI0cDbog+CPwEA1rQGpGZgmmb4BRbmbtqwaWs+wBrzadJqmiWmsQW7pNmF5KFznAMaqjAEwXqf4\/TRjO7SxvnsKfBn8umorMrCojk4NSIPFHA1e1XDdYAek6SQIjWZ1F+bQOZIaUC3fNLgOrqqGznRMnepZ5qH3CdwkCJakeAA4mjToMb\/BsTOaqeAdbRPbVhRyCsxjv6oq66S80yQ1zQCyBPQBbeAai+Om3XO0aJIB3l3WOOUH46arNc2CWYxSBz6cM5mege\/wD1wePziIfVvhCdL08mCGAb4G4BwAHP7AMie6OyrQjF6H3HQ2OJDBOJXELdLJmOwNvdcH2ifw0yAPFnWNUNXBdV1jb1umzq3jls\/AtI5iKZuaYbUdg3HN0ef5acmN+VlCNT\/ydbHrrDQO3ComzbBTY6RTB2ZfZiS7r7QZnHOTjOaxuV2cSTNdBrgHLhXDj8hOy0M7KAwLaC2Zsbyyp00CXmcHbcVSGbUlA03vuGbBJ8Bv61i7u4FJfH9M8xEMNXyHy+KUYQ88PZriAONjVBZ3eFVXzylhNtMaa5p6v2N2OUD3iZZzHCyAL+lkH7S6Nj7w9Z0m0Nyyh6CcfsKYJnHcq022Bl28z65LbnARyPrNpqLYMqNoGqnM8E7Fbfkc6kRrUiGOgg+Jfw50ztjbkzqmqeOyDgZdySZ5mdFsldbUNmU5ZGvQpN7T7vYsa5PbNFTuOqM4+cfI\/R+ytz0WOaPPTanymPcpL036VAJwzWmcH0wCmgGXiP8KGFeL6Gik7NJZcg8w7b1aB+9p21vKRqvfNZQBr4AWCyiKtTwOTpdUrk+TfoNgdjlZy7VrMC1TppegB2M0WMG+r+luXbfvO3DgZcEK1lEtl+7QCaPh2CQJzLUHfA\/7v1XrgOpXWXxs\/bDh123brXh0y+zZ33C4KAXv0arDsPu+r1MM1hh0gaKboOmfYvePgxPWEk58yPWI9riGK5Ob+5vGoX17MJbBWQfhUXDM25r770Zb2dzeC05Zz+Gdu93mdt8atDWjj7XYpi5JRqdhdRndhU+2jgFs\/DRgF2SWdRITt\/1bUxbboE2v7NoHfNZvYF8AUtMaUNucQSmS7O24lcX2QXNX81BnvO2xmQngkp34S5LbDLqi2kT3Dqco3\/8LYDe+BmaAF\/u85ZFZmWD3T1o8NT6YujuzQepsF7MaVBf7B33TYwI\/4zV8JEcbZo9SNAlsRYEKZmy3TSnTBkk7SX0cH6MIcMFNEcbL8ssS2P\/DE++ekCl5sgfwye+D3qBn6z9QFfsBqZsDZaexZSi4ZGhds9XRgKz3Mb3HmrasGdgGrdEY0JykvyM3mKalMPYs+H3sDy2GBOf3mA4K80eAvbgPfPdZcPtz\/Oc4k+zq4I9109qhGn3D0PauOzb1Bi5pKm\/x9Bi+T+dxf2ccvAViwGq59QWMNHjg7DoInOFInHc6ANP3NEnF0PBmu2f8AATAN7HHsdtU0\/vd\/rq9s35fUdkeAK6WYhuTXcwYtJl1qyn3gcRv6DIYsCrTsLYMvaE0LWcHqJrqxsgNHrgGYxZwMSx11IW5HAuA23sk8YmnldmBg3EfgfocBS7S76UtlnTq08S0C59UxxUGOChOmgY858T96ozDa5NbbtU5MDqtH7WVwbqsdtkBUPp9oH\/UkW6A9u6WqwtuHgQYNof12HXQdIB12eg7TW6Lu9u8Y9\/zq9wDnL+FfdZDuBVCdsrj1BgPKKcTsIqDcc9wrOMJr8fnIFmFBhjtBTeAHwzMvlsCBvl9u0sZ7TGJt\/0kq++zeIXGgH9IA4BmS+wdXKGahoTt8A++SjdZzCdPUV4urmC\/sBe8Df6ZbU\/TJMYpBOXqTFAMxuuuu3Rb3tRbnGITN8yN3vXdhGebI3mLxgDhBDQ3LTMYRh4CBmha+jQ+rmI4q\/q58aanbwBaszXaNlR7g9PkPgCKogOdMljMqRgdv+WVQNsY7LTH2\/TArRMaz1FjXowDCvi8RU3Zh9u2viPJrITJ\/r4X\/C54xW5jstGZuG\/y60e+66TH\/QTfZxVbJwHFUoBygs8D2Rrzkg7gbfNNHKMazb7GNRzSpLYXfBf8lu20OYoGPo+bIGmLJ9nxSXaMcBgU5tzBew4JGNNdWzMsSTYs1f6TdZzq2ZKuerYfAwVwEAcfqS1SkbZwuSdTdz13Ws2uRa0P+jsDj8nIe5pu24tPeXAvReosu8szxlhgFz824WYdpFMm+o5Na+uACnYm+5Ti0YhD4BRYxvr2pvRDXTUbWztyC7t3j1BoGwwUlev1uxNth8etMuMcLvHAP8l5Tac8xZG61XFoLA52SbM8NuZwOPWZcXAU3AHYgQaDewxqU+5zbWJLBk1eki210WUGncMfTfSfcGOHpgENFsDfAPvABrBvEMYU8wR4zc7hzcdkvkVtKy1S1Zqazre+2sXMjjJQLVu5c4+8wQ6wntHas\/5pDDx+xAKMhlmTwx2Pdg4oy9PwAs+EZeqOxjzNGU6aoLCDU+C0\/W9wc7zjuE+19XUKY1Smy61jhtLVnL1ZjFIs3bPlpxnaZ0ywPp2TImDG\/hMc8+jTxBjN2k52wumVyb\/EJfJet99r\/vjdt7tWh2+SGHHXMCnFVJTWjxVZwW1qYIP2Lm2KfKIzNeFlz5C+j+z2pOn7pOTEKZ29ZfddbppkZ2y3zKi2OqN7KRZsmr+Ky4Y1cPQZ4GIsb5NkwO\/ZJGaoXcPSPZrTrbJPgP\/DlgA1af\/COt9ykuOmw8diLgIDvGqBXQ1yw1boDZuasTgNvwnAj79i35uRbxDf5bvWf+b6oKduu6x5x4xj0u\/BHfZs28nMSi6JxDjwPTuJ79BbDVuZtjnNdjlom\/eA38C\/hWsmoXZ1izY1HRCcAm5Jcz2G3u8g3X2LAb+Lv40bvf0+m1MIZSDpBwBj3yS2+A1ComVLM5yqZnRIxdL1lv3FzS9u9D5y3p\/veiw3SXJzjkllzJrm2cPTe3iaM03O7XACjlEYFlzBv4qbMgUIGtfclMk0TQfcb8Akzess4dJIQyZbahs0OWIG\/DL+JXBI3nXXYzlcPmrM4El20nIPAOszMEmSgc60TKk3IG1epky2be\/caQFdPgoO4S\/aezHPLHuIZ9kpD4Y5WY6YYUlSm1OcqmOMnHDPUidMnh0zn5SMHbKlD3od\/MHeb3m+ZilKx6lgA4bgZG+P++Av3\/+6fNfacgFui9NP\/s7J33GDf4V\/HacJZWryyAO2925jXJLMTq9LbBH2LD9DeMF9jCUxQsNIr7XnyOMq2SaA1LMs0pBl0BjwX92lcKCFKYTH5imc1ug+GBiWRmoMeBX\/MnGXA11Ox5tjHtu1G\/zvuJfYpYzP72Ld1sQ+c0pnCG7Tpbn7mCq19R33YFeH75qAHgDJgT\/Y6eDXH\/uG+w61sRd8DbtA7mJIDjdcOOB7nOpQdzfdFqOD6+uYrBvrJpCVXk8DPV1RgCbjA2Xzqa3xTz7mcssUwHGRZAyGtoi+ToG\/tbyugctUOY0CFPi6xbrGTY1rE7jsBX1AstO6z0XMmH7V5+JUf4\/csNof9Tl7W2kRrf3NGNiLCSzRNNdbvQ2Ka4KWhwDNLesfWl3Mdn3o7Dss58ChqFaPt7mWYbIKb0w0+qbDmGWPTPiVCWtXk2T8zNE7JDvB\/f\/kvHdcXNl993\/uvXN7m04VSKCyaqCKKAIBAoRE703S7ro8TnFJ4jhZJxsnfuw4cUlsJ67rJLurQu8IgVChSAKhsuodEL3D9Llz752587wGWZa83t3YifP6\/X7P71\/gNfd8P+fc4XzP+XzeEMf6SaQd8nIL8jJgDB4MMLjKy5v5RXhZbfIKYhgIhj5D4Ms2ATeRuAbSmvWK2gJZRDewI5J9QQsMKGRlvJhgMMqQl\/bzINSIAQSYcMkuSnb\/h6usvBVd9MSCn0F3cNuc17oguF13Q5ZFtzijXYCXiccLvMJjjGSAaNd2p0aYGcLnAnCt7GchYNihtmi8bpwHKEUoOGqAZF5DkpCGpr1coIdnFBWOe2HajsvkqNe8NKsghmXUzZokhx\/Gu6CF+fXgDthAEBrIwAjqMH+YdesRTuYsGyeYWRzDGI0IZsIWUBpeS2tE0q2zu12UrDdNLZmt8u0wu9bMPiWHPNOPhh+yIosxlhCQi+ym3AjsslqskHVBmHd47DrZo8wJotehEiSXyos6aErlpVF6jtHQRo6VKK+G9hChDGFnNcAGPyUhmsRhPxSZ09jQOeAQ3csus7JMe3iVQUB4jXUveII8xRBDUKqkAQYnK29n9YzLoHf5uTZaVK5V2BaPfmm1ZzOxlVsl+MH+w7MuFKY9epyX1FatqHjvylab1TXmWMRGbU4rtTwhzoFxcdQxiwlglplAFj1TaC9t1wmwnZ3FbhCiP6624RO0iZO\/CHbDv8BFyC3aYcRinXZAJofgNQmoZcEryi5Ydq52eiW7h3LQGExqKPQDzgs5SbNVdPIum+iWGbtnlBI97icWyO6wTczOTw8LwPbEIt9Hl4QR4HVaBBGTl62i5NItbTOtWl7nCl5OtGz22CcQi\/80ThGSZo5lwRaNm3KoPaTNYFT8E3ZxgNZQ5lArSckhiFGjnzWYFSfhBLBlHpuOFOxLrolEJcjJiNEhkIpdhF1aFeMNYyDMhaiDN8oagrNTgugxhoAzUDxuASrRBIU6aQFadsEOUeVye1S21U4GQe24imApC4cLai9lheQdJqciOCQnzSAQNkrRYDO8CZcIuxcacduJZZWX51BKDpBIFkTA49i4F5jxR5QdnlrVoyNYw3ykgNtCpYg9oB82YKZFzzw6LjjHOKfaYbKCvuvw7MK8wJoRJ21SgXs2G2rhJLVZfNcPp1aRXpVTA8hFv2VHGKJXGJVK4chADUTTgMdg4IfhjJchUYYVgQ5HCS9BaUWSYZOdvAVzrYkCC\/AOVFyDc26cxABDYzgh05LixUyKRPDBSriM2C4I9mXc5XRBogyWbLhstwt2SBLBnKQAi8Nh8grTsNXthu2eRXpEq2MVxLLKRROIawPrMiA8qSKD1CqVBkckPhzMwFmonubdqIVEvRp\/tSpQcEsIREgiMu9QIKMUgKxfQmHMzSwi8LBlEnNpYEjCYNQhuhwSsAuSShStiLQGZCHfRUkUYcU1DKKiXau8aSLlYWSPc8wleqbtIjzvtgmLMuKWPU+wGe88DXuMGK7wXCA9K1txC6uBpQiQggSqMFLlJ7NmDlpDe7RhjiALLOOQ0YMvkHNrl7bZvZhF9LhNZrcwJbg9FmJBo0BWzRxspueVpw6re5nzGBDczKGQTaOSdZiWsdCSbLYqrJQASuBrCOWgAZA4hHfSMzqrGsUpxotZN8zhiJ+EciZW4TTrJcwpOlgItWKyzsl5gtHVKKTS0hzgEMK62+Tn5UzwY5uHcLgmCA9vg5eX5rSC3gTclAA5J+ZEttFfUAm2IWxWvYguRkx6nJhNdOlW9h5GnKAJDyTwikZNQ24MM7qDCD8kzOaUHVZ4xvWggZjjAI4cQ4DIuYCgfkbBuAcJEhjZLdKSJGitIAz8XDUMAgL8ccoW5NWyQEfguJiYCPQ06lnPIhAzFzsGXLg0Ylu0Ic+6Ji1W3qGbW5IXn7mWHPCM2eGd00k7R1eBT6t2wbJBhhFa1gmw5DYZPF43K2Nul7K4RHlNsuj0Mj+ThggvJakYfwnoCCOtwjSkQofFAq3qbRjdYGfdsgR51XZcDER4JyNtlCCn4EBFj3dRcgpexSJZvUsukxMip2WZGMG9ytL0HCJ4BJXAcyrF66ezIyIOoQI+Z72GCvCMW0C9qIMjvSgpqXUwiSFaJ7bW\/gcUhOKQJgxEqR5As5jbPqSRPIpgXhIwYhbMynbcqbhoJ2TBFNgqe1RODIItmJN14TAlEy4Uo2Rjmkcvw0qeh5LQINCHFEIuBTjcKrPDa3I7sbu47Fl0K\/gYCUOYRKEIslpWa7wwTuEiT2klNUS6SSekBVeQLkimZUi2T817Jl1zKrN2gsVVbkATsKhhtqG0ZIBRDlxC9DCqFf1kUvR68CUGmnPDFivp1sCBM7AUDP4Z2Q27g2RIdsLSrERNO0fg64xThcKyW0LtpFdlwxXCgaiDjKRBCZBJMlzBpgNMiqBSg1KVFhZgyeRwu+bBEiYjTgrg4xo35gd2uxEv7dRpwd+owmA3OU86RqglyKHygGvSHA8xFK61qCE1r0I0QqBXw4FK1TbYjdgty5jogkzktMfEIB4X7vPs7VA2bwU7VYGQE5UlF+FERcVGAKvpoRW1GZ2iIpog1OwZlT2YE52U3b4dDkupJlCBhFA3Cxs8gCFQLYq7VSpI40ZITicrPMK4IFkvAjLUutoIvoJchgRM2UWFOQNdTqvLjiMmacEJlGXcKpkhC+vFnIwKI0gnrqAoBfpgDpY8yqQKqGYIlUiDEA+A6TUgDrkGeXlMLXKwlgISZZc8MjIvzzg49wLtkD12lUDJLovBAaFLTkyxLRPARppWOYKWSBKHEQwF1IYIMAP\/LeIRUBGZk+675lRT0rxKcngFBykSuGJHTXabMkaboXnBrVjpJe+83k5b1BRp0\/lBITyprGf9UT9ozXwi9BrtDxmcehFxKg4\/2TqHiR4zxYBUhIIxg0fjgiWt7PbOmmZYCUEZDHPyYDtyApKBRxIVQWAslKJDKZki3RCMush5WCZCwTEkA3IY3WqEsNEuFyogY17BLaOi4B5e79J6FP1N3gShpBMHiE2QcAmHvJxK5eYxL4wTMKrWgQ6kBwiKW+dS3ALic7YIiFt0ACdrcTspiOZQAIWiKsmIgQXkq0BWCV7YQSMQSgMX8tfApnhlh4c0KU7tLBBwD77d6s+CCNV3gKhall0ysC8g3Ky8DFtQOkRDBAGNH0hDMryE2onCQU5UEibdXsFOWGUZszlFWHYhDo8zGPLlA1gYJ\/SYn7QOTMN\/7MUVlkIlDmVcEBmswkhKVqYo2WXmINLFBYsHwXaRENapcMEP9nNAtiV5emTeQQgOm+y2mK3QPcsCLGhtyBINdqu+6bUiyxb7MDJh0BgcAZsdKofbHUSAcsXOLATKIjcdMI0rgFgMQkGEt5YRMcjKuCQ1BhK9xxi3R2th3ACbVmMgzvtDBlpE3ATkYQUKBW94v8o4UL8RGLEGYuDPvQcYkUBspAuBXMwq8Mx9h51ZdlkIu4ahRWIeh3AuGNG4Amc4F4w7aFm9jC7wLJBJC+IKwWmFmnAAiyQLsMfjB37uTmINITyBEjRCciaS4FyYC4yOOQlgdpmemSwz0BJmgxdwN0\/rA+ggDtxyf4dWmDlIFM0KKlqtsFljZz1aOwkJq\/Ggn4C3PU9Jy+MlhzKhWnZPOu2QZF8Ck5pRBuCsAd5sZiCdQAi8EmAVSJ1oVVPeYHMQSSs8YYFZwm+jl1evRVeHBOsgDWciVQQpUphMqhENr6JQSCFRgGkXApUA2q2mUBL10ATOKLRKQ3lxC0zb\/GUNjEkM4e8kl2xAdCGLNgkaipbVEiLqcE6HB5FBbh2Oe4JIAndiNkhBBciJL0NmnGBNakExoU5EQU2oQ7HhE9tlj52ZJ1BCIBB0ARnaYMZmvSbyjG1ZcFquTw2Jkt0771o2zbOTFOJ2WJfVlxlbgO90d5HEednq9JhoikYogldMZtFmFgkzDRnnUMTYrwxZb8JLBPgJ+Ay26HFMq52rPKtJBzesI8HnoX8mMJMGkCQW5lIJgsPtNPWDHCQVo70YG7bM7ljLixtIWg\/BGpaHCSvq0IirzOys6MKlnTZ\/hVkiHYy8Dwny6O2rgL9E0v74ahCC+2lXcU6WklbTeiKU5VAO2orD3DJmFi3IouIg5HB\/lz8bTAKDFqNpgDootSoABNq2PQxaxKVwq\/8SAUIIDRY2vTQvLtmQWdFkQuc8XqcTMDa7yzXmQCAT5rTa5h5Lk06rPE\/ShJvlaefCI5vNuyQ4rZRHIwBJzRlFrZd1ItKkQ3AuWp0O4xI+EmgBss2BSsyoS3F0fjA86JkT7LjodDgnPQsLotfByYQKm\/II6CLhZFSqJVxwmJQh18IcAjlYRbLQcxpMZdPKngV\/WK1bDaECI0LPSJxxuqyoafKhx4wJ6IzstFjVXrcNu8OOkSLiYBcxs1sIvG2UFJ4ClEsN+y8Qz3iJX9Z7VHZF0skqFPWQehWrGBkcCSRwKhRFCDALfZO8uaBx8Iqe4dUSafdEgVrkNvAwKhjRi6gc7FRcKGIWzWbFiTt1JspsBGq3yi3P7nDDoptyIMs2l4tzKl6XyaG4NCqVymj1G4YsxhHGqpPIadsE6et4ZQzHJQxyE4DCaY8KIgnUw6lIAiaADG+AYN4sSojDrb9Gw2ALBXYgjQCjrMy0BxJEFyoGeGnZS6tBpqofeOywhRYMgCYhDePv8EqSBHtoUYYli1VAMfAplQCcuNlOL5AebBW+8r2mmqJVtBuo7UarYyPYourzMghjVc2iMklgotOh91JOPa5Rg9fmF5BNJnl52auf0bvZca07wOaRnE7CsQym5BGVINjgJZdV5TCEoFpklJAxA+1gESVEC7ajI4pNtvmZp03tZCOpo+6rwjGv6gHLISG2UDpUCqDXKGuCQSryHgIwG+slWfWMHlAS5jXNibLohLwybaNwTDKNcYBcxjDcgapIO4KKgQhCOREUBTjyCwS2amyyzkpowWeRUARGxAhbKMK4tS5cZjyyk1KsmEUapRa9CwTCyepxDCjgT0neAbQu3CRRLgpcAT8iUZSFIdrq0fNLyvQiZ8dU\/qAajJKzyJJoEJ1OCy5I9CwvkxhlEyRIcFgwt4Zg\/QUc5UkE4nivoF5WYaALJJNLUxvX6SizamY2FHwe+j7pcltxkyzZTR4LCnSOAIci44JCmSlRlBi7Z1nlJCAMU0miR2\/TAYkIhbUYYCQWwyQYB5Pg2yTlkRjACMA6r4NYYAMfkPMYal7C3E7OC0mMR2EIwNuA3oXqwNfBHVyFCBonBLMEblXbyIewhM8SXkvIA8rDOdQeWuRhwr16xbmOPJwTRXHKIZuxJUVw2mGbbGNsrFvkVbxGRaxZ5e8gcZWX8oM5nqchwkG5IHuIS\/HaBES0YuALACXnFMgpumlBG8CBY4ge8mqIUBGXzS5FESVIZXG7ISuMEjIFh4HPonthq8cWalma8zPZLFqby7rKKT7tU4Yc52gHtqhHtU6GYrSBcaRCThJiKPDrRxmnEQqUjaSOp7BQV4DVxYMHyEXIbMUWZIf9Fm7CFVwFqxkW4kUKZYC\/qNMDBdkCSZTCS143hSIKJ8Fe3knKVlFWzG4POeJc1j\/lZM1GwOnAaugxTHg20xim4mnqgWZyw9B6WYKF0AnCBFlVsmwn7RZJNbcWqBEjvbC0CJldTsTqdM54h+YmCSsP3MPOWTBn0Y\/YXDbcqUUxG+fCdCxN6TkOe81tDNcLXNDGAMboYQmVYZI2Aw58CcmkSW4OlccXTdzovMM7r\/eoKci4mV7wd6xiwL\/DJRRDKwxBuHkRtjswl9tplzAbCfzA55WvyA5sSnEbVKTMjhIw78GvO83LHjP5IERHeox3EfOap+GkhsSinFoRCgJvQ2rVbaNsNcvL160mYHHZpRG7zTtOSzS0ygapjAAjSIXCJAIJ9oSKKEIaeFJLxO4AGfBZ2GNkOYSnKP0iu0X2t4Y8inbvEVDAmYjFoHnYRLsxGHvGOPeqVFbykW3xkqtfWF6weARcRsY8k5jLKQmw5DI6CKfaoZFZq0rQ2QIVo4NZDHRsHwLOQAwH3fD3YVTl5TCdy+qG4Fls5SeeAGERcRIyRG0F3fB9rx0fIdyYy+2Zdgleu8XrmnO6XEOW0WEPsMsi9MwsecVpYWFyUjI7lLsUpOYwhcPVWj+MwXHOwBA0rF27OUAOojhWE75GB3gXA+nkkFWgExqDwXfAtw+CdKCWGJT0kDgUZNnG+MNahXOiGCqFotQIO2LxyLxllUVROtfeW+1226D5wC2gE7JDjwCYc4H1zeubl0doBzHKCqTZI9Ai4eXtBLEGqJEgESU1QBeihkQ\/JUAIMpG2CKeR1\/EyhZMcwrmDBFxaI6KCKCB22Yx1gg6wBbwHziGXBrzT1mVgFyVgxV2uZUFSTWhmgBUXaYA4jXZU0FhhO41D9FYCpfwpilnLuP14TGBQxo16OZfGxi3zy1Y7DKk9qEue8ptNAhoGyCAHUUgUk1QCcNsl0ikistfMKFqOApPgLvIYTMwBk3930JyWWdThO5kIzUr+2tsrLMHuDZieZjjE5Qf7XCpoCMlYqWf00NwCoMCc9w3YQdi9XrNDgmwBGIopKozhQBHyZYhY1s\/yVlIl4yoUIl2RgixSTo9ocXgIkI30QBJlg5yPURfhoTF0TQj4CfJVCOUB46JF2M0KkMyoMAV1yx6VLIuwQEkuyeOB3Uukil4UHNwChFII7iRRIBIE66BAIfJDSJFVXqcgQcwyh2KU3U+SCJCK\/BuEK4TAMBDi0Atu1yIGHoIIGVZbvGARxQjvNpAG\/hBml0lZmoEFPzNhYWTdPA74WYwNohDexCmoCvfybhjoVZCKwmAVYdfAVKCBUVAZYlDYS1oUCyxSzzDJ43U4RIURaBcik\/PMyBN5HLVJLh24JrdLL1MsvrQHPE8O0zP0wquJj1ktBWD3F+RXXafPfagYCHF\/DfW5HH2OR5vMg1vuw7Sow4M+emevsEbwgfubrIB+cn9g2BK6ytdHuFSrwFbPCfZF3yGqvdyrncfkwif3KwRIVTj2Zc8k0iObSHBSMbG\/nvNHVBhoVhDObfexAJxAtqnAacVqIRVI5VRQ0KGs+uW9ioNFwX2FY323Kr7blTBgUeaQX79vExT3K\/dttLTN6btvw4CaZOCPvnMb1\/wELCl76P9neocPdVmLYOp5l7UG6B1+yv87u6wP9747vV8kgetFVuzDve+He2MK7PaeIV+k61CEWOdz5lpsBDjqjSJl\/NU8me9n75CvZs7IUAyUeb\/GuIGvl5ZJsxEFX\/DmMM97aYteB97yvk385+kzF4yBb3q\/RVmdL5J9JHjLG8G8mir0pQw14F+8o7QvefhJyUQMnPVaSNH1IrWHgz7vduplpk8ykqDSK9CvJh4tvBOJA3Pev6ZG0VcTiL97qvJ3zzyKyEYQDAbJ\/35iMErzPC\/4PIHIAj\/AUb+ZUnyeXgwA3\/WmEL9dzu9lLvA1sA5Ekb990vLFPnbt6oDVv7l\/fZ7b\/K\/s9EnwNijFZNPLHn\/RIwk4uAri5ef\/NxDGq7J4SfABaCZ9HQVNvuwwPtwnYGAZfIt8scdfpXzyHh8FKPS3pEkKWPL1MCHgz6C\/In3dglX5bfsM2hnsedFn4OAL0Kjk8\/ERXgQBapkjwWchRfRIKy4+QtH6PH1eayj4J6hQ8mhVMFDLmk9KcCE2MP+bKTAvQ4K\/gN4lnKZfPwchwNegxza353lmXWadhMuCgX+HPrApEiF5SQ+qKCiohZpswOlLrrsIFeiE\/skGCQjpBsFgAOoXf3d\/oc+VSICnkEV8kep4nvEgwBXoLdIkvDwDuGdBgR5eFH3pEF9KBAN62C2+yIcIagbUwX9P\/fr+\/MWuHQeD8CnYZZXh53tYOpICV+En0IvTZ8mjTKgg33k0ATxwFPSy61f8VeEUiEY6wYe7foxaC2ZgFf3f70B8fQwOMpBu8MIR6nOH8uDLSALt5j6uMxF5AhxHcPlVYoMTx8ADZIvsIzo8Zzt8MqFjFXAi\/y4v2\/4r5JNly0dRQvRAQGLoYf0nZ4lGmUWwSNDAoHrL+\/Jc9\/k5iO+sFwOlKgW8OCtx+vw3KsYuLj6nIPiICE7TRvBj1SXvy3ORab3ndzgX+bhzFgw0qtS25\/wFH4kBA09VN0UfrQaTCULmcDCtekd8zrd5zrr5TWqBGqxBy0Qf92U5+uOoML\/tuQwB9qE66VWah2Qzgl1oofW3TWHZvQT4X+g\/uF7SP4Q1di0Kvo2qOV+y05fw\/HBSqx7+IrrkWgT8\/yW0I1E132uzWz0O\/LfgjpAu6Ne4I3aR\/d24I7SksTwnjyhXFNcy4V56QR1R7G6TZVlYXLbMAlH1PEFkYe2oQPhSRPQ2JvAjUkSCR+Xz7rs1iOp5LsCyWkZfpAoU96zHSsz6v8wzuA0Wv99MVPg8t\/9Vv77d8MJz\/8JJ\/9wn\/z+brZmdfzWj5PD+PvgB0LQvRY+N\/e4Z+jXeYPfHpWk+yqH\/0akXtZWWXyRUnJYP51MI20elTlSoL1niRX0pEVkBdv4BZGMWDfPM1O8nP+bxuuysHPjko9Jjm2aD7b8b++bDhLbfB5PGL\/I\/J9KsCf390mjsB2wH\/mcYcj6alUH4KDrV70q4QsE59IHg41SpwmSeAKdRUpJhpZuZxCGIUiIcYUmgA40XX2WA\/T4JZKSEiR9mkKk6yPYPM8h4cBnd6Po44paPxoWBTjSaRtpf5J0p0IR2ul5llD2nljHgR+hPna9yxF7SxTAwgg7QLxLUrtIPs+VIMIMW06+mrn0p7E\/mexmAHf2eIBK\/DafMifuBb6F\/q\/pwwvqT0thGgGHvuD6OXge1glb82qucOxxosEXnC0qbj9jWjSBYBfH\/R2YA7BIFUXrpC\/04f+dLn6gWJhb+5+5OF4c+zsfq8xJ\/tHt4JujjboVe9RJ\/smf3w77K\/64b9IUn8qN9cJD9jmYxyOKd5V64wOfcrl+5xiMifb5rM\/LbuLZtTz\/uBiTEs37io+4mVqEvT\/wXyBtBL878X9JafDdGDzb5zs8F3sQCCt\/IhEMaet2Ut230+sjUrI8f85IH8yqz9LfLUTwQBPmjMuZLl38zX\/7r2bVgjwbZyoX4BUIvUw4GV+wHvtQJ4l5PPc8yoeBFBkr5YOIUtrySKXoGBGphw83nOZ3nWSDax15x6mUSeZ53C+BfzYdp4d\/2ruXXEwWflFH45FuSD9\/OMOpAYq2BVwiUEvHf2Xflux\/e9f5Lioz87LkH0Q7J1Ie5EaiEjj33JL7w4fk8aIvkK+6s5x4yJ3C84iIzOsCKi8y+jD93kRmWaRl3+DxbjM2\/\/8MuLPgjvQa21Rb9J3kNSHPAqM9rMHvblxOd9X68y+mjfFQvnVIfnSpltzx3aL105n2c+8CE\/cqtt+KgBDofL2S154WTMAh\/6Rb0cXY++g74P\/Oj\/nZsDNzw8bwe0oZz\/9\/j9XyYWYsDLfYZ4QVr1sed\/SjqBwrWYl8SnhNo5XUECMC+4XrJuPURb0kQgkW6XMRL2qrziFONgRAsivCxZGCNLckla0Es9gXIkvzxnBMfB0UMYEA65oHEDb9JJZF3MiAD8yLuux6Pe+45V+YFZ8Yj0mATdhN\/lWjzgnKjAzHYLvE57VQZRh68yjvlg18lom4HX8MqJfcb8rrfK+n0FZYq+Lz3818E38LGPf+30VNecmE+F\/QZ\/Gy4NS86IvUp03jl3uagN9hWYjhrc2KWeU3LvYuWwDexC+sdudGbkh+RTVcebQz8Jtr3mit7z4aEB1jL4FMk4DKS7onom+7vRCaSw+Ld\/tuFfXGFS7rWnv563ULWef8vIgfdW3sn+ztUl9Y8Tfy6\/1H4kLT5wtjlduxeUkjc1\/2NxNVrzdRk4u49uc7Ani\/4fwa\/eqOFmU6M2pVj9+\/Z7f8t4tpgEzmRtCs6Twju3uX\/p57MpdDWu5dPaUeztsQ99NtP3L7URE0k7orOcwZ3X\/U7h4Wcedx1Fho7sP5AivenfhFwlrj53MilNvxe8pq93\/arJx6dP4V0B40l7YzJF77hF4aHdj4+0wWeHViXngbS\/SahbNems0OXWon7KWHxcX5\/j6\/pfNLZCUYOrDt4AIr105IjHZ2emxHPknbEFrhIPzbOv7L3fI1huiwhtXTeZjwEZ4ubzw1fbMHv7Q+LXzaG42s6HnV2gJH09QfTwXHjPm+uZW3b3YtN3NOMzQnFxveI9R1P29uVx+nhGYeQDCPszbOEt97pa+SHMrcmhBi\/jvif\/uD8aXzm0PaUgyJujCfWn37Sfkp5fHBdZgbsNjBYaPu9zlPws0ObD2YoFsOAkm8Ob7nV16geyopIGDDsRvzbb5xvx2cydqQcEjsMw\/i604\/a27xPDq3PzISqDe1oaPvdzjZkNGPLwUzPfxjivAWWta23+xr4p1kR+\/7GsM1TsBjScK2vXj+Wvyvhs4a\/w9e1P2xvBU8yXsvMBp8yDGLhp+6fboWGMjZlZHkrDHpszam7Ha3wSOaWQ1nKIUOdt8C6ru12bz33JDNin8FwHPY7de18GzGbuSsl08UY8tyFc8F1V\/rqjROFexKAQYLCO2719D1sI+cyovY79AZQaFvfdqe3nn2csXVfjT7cXTQbVNvfV+c3WRSTcELfCRUIGzsf9HZZ2qi5zHf1b4NC+4ZTd3rrmMeHtib+sT7NU7QQWj\/YW6sfK4jaV65\/1100v6puoK\/WOF4YvS9D\/1dQobCx415vHTmRsT0pXT8Cihwb2u\/01tGPDm1NNOi+crMvgi3MWB9\/x9rQ\/pTTfVYpXV7TMNhTrRnJi0qyaxeizDnJMfnzfOuFK42GM9obSqkprHGwp1rt+3279ms3eyPYooz1Cbet9aeentK+vlASlNA3U10z3RfvX1qr3aWULq9uuNJTpX2Wvyfpz7RPdYtVlVNd8bry8uC0vs9pz+1ZzE3aW7ioa+6+XKf\/tHa7t9Qc1nS1u4ofzt2dVKD9h5s9kUxR5vp9t211bU+ytX+hX6qsnOjcq60oDzlwMU0bsWc5JzmuYEHTcmGg3sBq\/8VbZglvvtpdxQ3l7E4ya35wszuSKc7akHjbVtf65KHGqp2vqZw9l2AoLQ9I6b2peUZHtY\/UVwtXD60pLCEbNQFsdMdYfY1jID2ksISu0bzhLbOENQ2ujCcq6ReaNja2c6K+xt5\/ILiwmPme5mc3L0Qyxdkbkm\/Zaluf\/L0mk4s7M1lfY7ucFlRYzH1V8w1696mh+irX1YzwwlLii5oJbu\/Z6YZa66WUgIJi\/o80nslyVWTL\/cYq9+3sTQWlmvvTZfTO9if11Y4bB9cVFWn+ko8\/N9NQa7m437+gSJ2jAbutmft35s6w7ec\/aArI1vzJTCm7q2Oortp2PX1tcYbm9p75vKT44kVDU\/elWv1BTREb0zFWX23v99XDpGnqdIvVVT79y8qC0vr2ayK95eawxivdleqR3D3JsZq92GtNN1sq4Yd523LLlJ2ad5Vy0+qG\/u5KzbP8mOSdmvfQDY03WiuRR3k7cso8WzQHffMXV7Sga+7urzOs17x\/81wkXZKzYf8te23L4zDNRnp329P6StfVzLWFZcQaDa+UL4XWXe6u1I0WxiYHa2q187VVc+f2GUrK\/Pf3spqayTJka8u9pirPnezN+YzmbzzlCyG1F7sr9eNFe5NozaWopZzk2MJ5bcuFK3VGlSYeWd10paOaeJa351Cpy6lecJfPB9f0dp80ThQnJNnUNXBo00BnNTmaF32wRFhW1\/AJPj3Nffv9C4rVY2o\/OKS5v6uaGsuLOVDiHFZ\/D9vUeLP5JHQ\/b1teuXdYXeaumA2q6uk56TdVui\/pqfrfdjoO7o\/InqI7z99tDXqovq5bqqqaOhOvLSsLTuu7q45RJ1yYa6g19SYF5JWob6tL0Q2N11srVY\/zd+aUu2+o\/wEKbu4\/W0NP5MamlTiuqG9Ru1qf1J8Ur2WtKyrHT6m37HSm79+aNUmdOX+vLahV\/aPomfzExNIl\/8ae3mpdi7psshTe0nyvqVq5m7Mlv1H9r0hY4+DpKnw4PyqjTGxU39Iu1FbPnkvQl5T5p\/QeUx\/36RVTOKdb0evf1PJO26H923KmmI7zt1sCf6ymo+fyEhNKFo1NPRdr9N9R97kr5oKqe7pPGidL9iX9b\/VX8C2Nt5tOgLt5EfkV4G31FTauY6yuynY5PaSojH1bnYxtbPyg+QT8IH97boXylvrvfetvb\/GCobn7co3hK+oa9LXGGy0nkYf5O3IqPH+s\/px634XZFX0WD\/nn\/4E6Fwpuvnyu2qdHaonjM2odvbv1Sd0J19WsdUUVxKfVf61a13jt1En0Sf7urHK5UP3+ZAmypeV+U43nbvamvHz1JRDUfOl8DTOZG5dSYs9Rr9rpSN+\/xaffhfutQQfVyUz0qeG6k86BjLCiCuqgugAJa7xyupIYzt+TUeZKVNu1i7XVs2cTdCWlASm9MepHTEz7SN1JR\/+hNUXldLT6bT7h7HR9tbkvJaCwRP2aunWH88D+zZmTVNeFB23BYepePKLxduNx7+28iILDUIj6Fyv6dXf71ktiUoiaVCecn2moMfUm+xeUaELUP8A2N95sPgHdy9+ed9i7Sv23uuXq6umueG1ZaVBan14NuLjOsbpK26UDPn216k+hrzVcbz2hepi\/M6fCzanf\/KW+xhV9SfUN1fqGa20n0Mf5u7IrZIX\/Ibf3zERdlfViWnBRGafwhXTUip6DWeuKDxMSXzhZAm9uud9cq9zP3pwn8r0TJWBT892WWvAgZ0uuk4+YKFFea7rTWgs\/zI3IsfBVSHjjYPtJfCh\/T2a5aOHn6T1tQ3UnhCuZ4cUVpJlfG7n5g+GeNsuD7e6YwFQzPxa1kJsUWzyvb+keqDUu8D8EIS2\/mh\/bDL+aj++arK+y9KUGFZbxE7zRNx8dvvmIPlTuGuF\/FGnqvDx7YxeRtTdg57UnPA3KbWHNVy5UsiPZe5Jv8z\/WWyprxjv28hWlIekXL\/EndzgOJP9qPnr4P8e3Nt5qPA7u5EcWHAEX+GFsS8PNpuPQ3fxt+Ue87XwrurHhRstx5EHBztzDnhb+z90Vs4FVz+crKamJf0+3XF0z3RWvWZmPE3zCnrncxLjieWNzT3+N4Rg\/FLHpxlB3m\/XhjvCkLO7f+X07nKnJGzMnqLPdj04Fv8NPg1W+9cxM5Malltrf4efGiz0bmu601SGPciOyf8b\/+TYxMSksBU56ivV0j\/yQb4ycOXdhcRD6YCeRGRfwXf4PkPDGK6dX9M6ocH2L742aX9HTsKLnl\/khb7l1TfPAhUruWU508pf4oG3SvsQ1Mfe8Z03XekY\/y0frlmtqZs7Ga0tLAlP73uRbnusVx1WUhKZfepMf3OZKSlqbPo539wx3hhzlL+CRjbcbjnlv50cUHIUq+B9hWxo+aDoG3S3Ynn\/EW8D\/KGLj9afdbbaHO9cmZbEZ\/KciN94c6elEHseYd4ftO8DHQiFNl89W0WN5cWll9jS+P3LjbaF\/9Gq\/8yI3tWs\/n+0+PBtQdaH7hP90aVJSAl85XuRe33TnVL3qcW5EViy\/a4cjNelX+u3gu5B1DYPtJ\/CnBXsyD4ur+GNR8zmJMcVzhpaeK7XGVXwkWNMycKHFVs1O5u7d788P3uzYTpXnb0y\/6axqfMTwDd5yy+qmfp8+uTHJKF8c8TQtPDpDtf4ic2HoCsRf3uZKSgxPHye6Jz+4fN\/LbYxayE6MLprTt\/YM1vnJHE5sa7zd8L5yKz+i8Cjs4sp0pprama54zYqeTi4T2+zTB75XsCP\/qGLhutBNDdebjyH3C3bmHfVYuDb34blAX72+9ZS8zL21ZzZv396SBb\/m3ss1hnluI7qx4VrLMdXDgl25R9xj3M9VGxquth5HHxXszj4iP+I27bCv6EGf63l0Kvg2546ay02MXVl\/AzXGm5zRWfqIfLdloOo155s5MVe4gO3O5MR1B8fJ7sHrZ42XuIVI+sz1\/l7Onr4zNsHayb0f8TQ1PDrduq5r6EoH18HxkU9Swvek29adHR7sYNu5tyMnUsL2pNvWnxsZ7GQbuc\/BYY0DnSfI4fyYgxXOOu7WzdPbyfKCjQdvOqsaHtVxddvYjhuXezjbwZ1xidYT3N95yy2hTZcvVPKjubHJ\/8HpPRXzK99\/xqmSxOR\/555Baxr7z5yknuXHplc43+H+boctLXFT1iRztudhW\/BPuWxie+Od+veVm\/kRRa\/DP+VY33zsKZrVt\/ZcrfP7IYdhm+tvNL0P3\/Ppq3yfaxkvcK9rvtveqHqSszXzn7kvbudP37h0gRuNcuxPXP897i2duaZuuiteXVIcmHrxu9xfoJvqrzcfU90v2JV71P1drhQKbbrcVUmP5sUeKHd8g5tRvVZ\/rfUY+rBgd85R+RvcP7kPz62sV7\/p0uTkb3CTeltl3XhHHFteHJp+6Wtcxq327URFwaZDN4XKhgd\/zf21UrG8qr7vwknteEF88l9xZaoN9VfbjmGPCqKyj0hvce\/sXsxK3F04q2\/ruV7v\/xZ3D4Q0XT5XyYzlxaWW2f+cuxSp77rW38PZ03fF7rN+ibuOrG8YPHUcf1ywJ+uI+Edc8cp8HbStP+ebrz\/ghqNmc\/fFFs\/7tfQO1Bo\/y0k6S3Xd1Jm9fGlxcNrFz3CCp2IpuLb3wkndRFFC8qe5fLCq+dL5KnY8Ny6lzPZpLglZ23Cl\/TjxtCA687CrjNu4eykzcVfBjO5Uz42GgCKuAw5vGOg4QQ4VRB86LGRwX\/ZULATV9HSfNEwWJyYncG\/rrVV1E51xbFlRyIFLe7nU7Xz7jUvnOUvGzvhk616uwFtuDm28dKGSH8uLS47mvvLL+WbPzgxevrWH+\/J4nry2+e7pJvRpztaMzVwfurn+evP7yL3CnXmvezZwd5UKU0jDxQsnNeP5e5NDuEsRT9PWRR+yrjvzdKCdW8Vtj3ySujb6kG392adXTrNB3O49M7n74krm\/Zt7+2sMAVzuruVDidvzpjWne281BfpzD6io5oe174uDOa+VvI7ruEDVhvpB3\/wURmUflXgu79aplfnMuOk62fAA5v5lu7r9+sVznDlzZ\/x+q8yuBSHNly6s6Le\/zCqyMztNBxMjc6fUHb13mgNd7OAOS9q+zVmTXNfglQ6Di73pqVgMqu25cFI\/WbQv2cZqdy9m7tvp07f3RkPADFv54n3hxnLjkp+xV2+1bccOF2zOvCmeaLh\/j63ctZSxb0f+tLa992ZjwE323YinB9bHZFjXnXk8cIobYD9H7mq8V\/ue+3reluI3VD2sQO5uul\/7nnQtd1PJG9h5tlqpMPnWY6VmoiA+uZ39A9Vr9Vdb38ceFkblHJVaWcOemdyEFb36+muMTewfbVefun7xLGfK3JWQYj3JvqZULAXX+dbPZOG+5GPsyR26thu9XdxS9s59qdafse9HzeYkxBTP+bX0Xak1fo+t\/lW9U0WJyd9lI3Zo2673dnHLWb6\/\/0dWGcuRwlrudbZiwzlbDv4je4aJPfW05n1Hf+bakqP037EzEU\/S1sdk\/rK+v2EjouayE\/YUzRlb+67W+b3F7mfj2odqjtkvZ4SXHGXeYj+\/U9\/6Qc8ZbiE7dlfGwpfZju2atmt9vuft2pdq\/VN2vadiPrD6QvdJw3RJUvKX2Ju3WrdjRwq2ZN0UT9Tf\/zRr36FvvdFzhlvM3pl4wPom2717PishqnDW2NZ3rd6\/nE3erj7l+zxT1u6EVGsWu8mnX9uKftlHpUz27R261uu9Z3x6JKZZU9i83QuZCbsKZgyn+m40+MezabdbtqFHCrZm35SP19\/byfaPZYtrWu6dacNHsrekb2MjIscPrI\/JtK0\/83igjd3Epo9lC6ubpfabF9qIZzkb2JldCxkJO\/Nn9O19HzQGrGK\/76uv9wy\/nLV7X5qFZd9i49qHfXocCi85ylLs13YtHkrYnjetO331UqueYC\/cbt6GHC2IyLnlPtZwF2EhT8V8gE8P40xJcjLCBm5Xt13tO8ObsqIS0iwQe4vY2XCn7l3PjfytxW8ibuYf0S3115vfQ+4V7sp7w+Nk8nfoWq\/1dPKLObsS0y1OxqvaVH+t5T30fuHu3NdlO0PuMjbf6D7NzeXuSDpoXWb+QrVxZb09KNyd87o0zXzdXTHrX3W++6TfbOn+pGcMFfnkwGsxWdZ1Zx71t3J3mV13mrbBrxdE5t7yHGu4c5fZJlY807x\/uu\/katPRQwk3mNVjddrJQzHRRUvB7f1XOpjW0TrdVGZsTNFiUNvlgfeZ+ud62C6t6PE+s3+0Vj+dFRdTvBDYemngPUbGt9ffqn9X+aAgsuhN+N+Z96YzyI1nR9pOCw9TwrLfYTTkzoa7te+6r\/vqV73D3Ea31l9veg+5W7gz\/w3Pj5h\/W3nf3pWv5W0peRP9VyYvMqTz5uWLw2d4a0b03m8z\/2unsfl6dzs\/n7sr+ZDlL5nX3RWzflXnuk\/6zZXuT\/oT5hId3fKo5j1hIHtD6Rvkp5ksJqb1cc17zv6s9aVvUG8wu39Zf94tz\/v1d0qZX0TypwYudvKWzOj4A5Yi5h4T2\/Zk5X1ZV\/o6ncaUrbwP79svZ6wteZ2JY049r897s2Bb0ZtQLLNutNYwnb3XV3\/LxYEY5n0ssv6Dhneh24U7Ct70bmP27jQ2Xbtwip\/L252cYXmNqbvTGAm9UbAt\/5byfsPttcxnqKim+zXvSldzN5W8iQcxS9Se5gc174qDORtL3yQCmMs7DM1XL5zi5\/OikjMsGuYrdHTLw5r3hCs5r5W+QRJMvLti1lh1rrvSf64sJUmhv7JSTwdvyYyJT7fcpfHRWsNMdnxs8UJAS9\/AB\/SbI9UBcwVJsaUzxvoL\/T10d6S6baDvNG\/Oikk4aDlLFz2tWm2qOBBX9kxzsrO\/iV4arg6cL0yOK50y1J3v\/w9647Mav9m8fbElc36NPf0\/p4Pd5TPGqrM9lf7zZSlJP6Ejh6pClsrS4srGtJVnLv+YHnpStcZ8+GBs2Yj6REf\/t+iS0Vr9TFZ8TPFCQOvFgS\/SquHq4MWSlLiyCX312cufpUd0jvrW6fOxdFFO0P7Ln6HfiVS39fe186bs2IRDlmL6mlg+pjne0VcZYjpycF8u\/fazGqPvP3TJnF9TT\/9eOki37\/JMc81Cb6x\/bokxmj7pe15mfEzxYkDbxYHtdLVUPqk9caa3Mnip4kBiJJ0tlo+qj53uq1xtPnowYRPtlstnDFVne6r8F8pSksLpK0+qwsyHD8aVjfAnTvfT9FapfFxzvLO3ctXy4fR9BP11uXxaX9nVUxW4WJ6aiNF\/Hqlpu9x3yjfefRkWhL7xrNY4m7MvtmTer7m3H6FNbNzpoZr3bZcPhpe8zkpU3pOqcMuRQ7Flw9zx9v4pqkUsH1Mf7+irCvXVd5eK0SX46pnvW6nnNvWPo7X6WZ9+i\/6tfQM3qcePq9Zaj2bElg2xx07191D\/JJVN+OqrCl6uOLDvNBXKxp56UvO+vT9jXenrTDWVE6lpvdzXxi9nx+3LtLxDtTyrNc79cnw9\/d+hxiJMWXEJaVSBdW377Uv\/QE3eq93qfjN\/V\/Fd1buN1\/+eujtap5vNjI8pWvJv6xv4Y6pIl9DvG9\/FmICcEuNhauBx1Vrb0cxfjqeU6jSINadGz+7BSzJXpw7mUT26hIGZltr5i9H+2cXGbAqM1hrmsvfFFi8YW3r6M6i8l+MteZ05QBXcr9kiv5m\/u+Qu+m7jtVTKtd2vsf98Ez9XELs\/1xJDrRqr085mrIzn1MWBPdRr+vjB2da6ubOrLsSQhZHU+YjZrN3xceEFlrXtty5uoTK5uI6hmmPWy+nhJUe5EOr0aJ1uLjMhpmjRr61vQE9teVIVbj2S4ZuPY+39KPXlSG3Lpd4Wfilnb2K2BaayR+v0c1n7YooXjK29A3byqkGqPT16LgoryVidOjhLopHaVt\/fL+fs3ZdtGSb\/w1+pPP2ocztUfmjjwQ+ekH98rzbC82bBruI7yLsNNx6TN\/08VaefnNmJlB1af+DGXfLnEeOZ2+ILLWtP3bxYx98mM3+t\/ttkkq++trq5S1Fsfm7AFXKPUao5\/ezsbrTk0JrUq73kuUhd86WeZvVi7t6kHPM5kh9vUM8eiIsuMPt3XrpylvySQaw7PX4+Cis+FJoy2EH+fLROP79Sv7Gtd6COfBIAKjvvdUR4yw9uOXS7hoz1V6o6Hp\/ZAZcdei39gxNkdqSu5VJvs9qnR475GFk\/1qCZO7g3utDkd\/rilV+Qj39tvbxDbh+tM8xn74sp8s3vwA\/Jrvs1W6Q386JK7vnq+QbpZxDrOyYu7MGLDoXsH\/xLcn8g5Hv+VqU8fevBO18h\/yJiKHN7fJElvO2Dvjr+j0k6YjhrR0KxObz1Rl8t\/xkyzSjXdjw7txstPrgm5epR8qeR+uaLPU0r9eeaS8hKLrZzqPa4tf9AePERPodc96Bms+h7\/n3s3aarh8gBsWScP9F5sSbEfDg94QAZwseeGa49bulPCys+wieTGyN1Lc8\/Lz4x1xxNthjdtZ0j53apSg6Gp1zbQRpG6wwL2YkxRQu+E4N15L1fq38deS4ipO1K3\/mnPsXi9+nIhmd1xsWclROb5gv9HKkOQiq77nRs9pSnRR68z5I\/eFC9SXwzd0\/pffzdpqs0ObN1OHunr96W6701aooM8nPXdA6f24mUpK9NvY6S\/aP1uoXMfTGFS4a23gEv8fbWkZxd+0rMYc3XemvUMvFnK3o0qhfy4pPyzDYi5Vmt32JecmzxnL7pQr+V4LaO5O5OLDGFNV3tqdbMEm+M1usXshJjihYNrT0DU0Tir62\/SeK9LSP5UYmlpjWNg93VmmeEKlL\/K33yzEPEN\/w8NWeGzu6AS9LXpd54TPzpWIN2\/mB8dMGy4XTflXMEN9agXchIiC5cMrT3XjlLuB5Xh9uO+L4vmGOn+msJNgipOnunc7OnLDUy\/X4NscHPU9vlq7f4wNqUG\/9B1I7W6xZ99S7q23oGfkF8JXzhcEpy2bThxLkLVYE\/JbIiDb+qN9\/8A6J9rFGzkB4fnW8ydFy88j0CGakNXC5MjSuZ1tSd7f8OEd6X0j134uTkuUS\/IxXB3yHuDtWsMpcciCudUFefufyPxMZndX5LK3rpGs\/3\/y3x9hbfvYrvzuZKd5X2K8Sf8DFdw3UnzAOpYUWH1V8imC3PCqKTypbX1A9cqNJ+kYgOVlWdv9m5QS5N2Z7+6I+Id\/pSu+ePn5w8m2g8UrHqc8RPh2uCTEVpcSVTmtqu\/k8TJeNN\/ELa3j15FsOZS4NHiV9sHi2MSS5bWl03cKFSV0p8O2yxIjWpdFp\/8mx3VWAxYRlt0C1m7IspWNKf6r1SRJgfVG90+dbPA\/zd5sEs4kb4\/OGU\/WXTxhPnLlQGpBN0EFJ97u6ZTZ7SlIgD99OJmcfVa+1HMmNLV\/RPJ1xjTeqFA\/F78s2GzouDqcR6sWiUO9F5qS7Uejg9fj9RPFIbsFyQEls8o6k\/259MbBquCTYXH4grmVTXnLmcRNwJUlWfv33mNXdpyrb0h1HEj4MdeWlRGcNEvflM17X1xP5NYyV795cvhlZfOn9SH0yse66fZSAtvOgwH0z8ZLyZX0iNi8qzGLouDQYR5385HyUTfHXn5UBiX19q95xPvyTjkYpgDXFz43jp3pSKhZCqi+dOGljiZ3zM2eG6k+aBlLCiCjVMHHhSHb5S3zBz\/FQ\/IP63WDTGnTxzqT7EWnEg3ouvXzt3OGV\/+YzxxLnzJwNkvGzjeFn8yuf1nTtpEPC3No8WxSaXL62u7b9QqbPiByb3D3PN1+6eC7fk7t46iT8da1IvHojfk2fSd14cHMWnHtSs6F+yov9DPH6kLsBUkBpbPO3T6wE+N5EyzDVdvXMu3JobFfEAvzeea9WffXb5yu1z4bb82\/hnuejOp7UnrFcOrC0+wt3Av76iX94U3dx1rSmoC\/\/qeEewORNP3Lsn16Lv6sK\/O5EyzDYN3vbdukdFdOL\/NpkyzDdfvXs23JKze2s7\/v7FA90Lx06Mn0nUv14R0oT\/zdq5IykpFTN+x3311uNVQ7WrLKXpcSXjfHVn\/wn8m2uWKtISS6d0vj1N0H\/gweNtxsW0+D15Zv2Zi4M\/wPdsHC9LSDm8sKqy99wJw\/fxqCc1r+j7fbxw82hx3P6KpdW1l8+f1H0Djx2qCbGWpceVjHFVHf1\/h2vXLJX7Pl9b2dVbFfQ3uGUy9eV4t\/wh\/gNuT+fTuhPWwQNriw5zn8a\/EGxfqZ9p7rrWGPQp\/PWxJu3SwYTovGXd6d4rR\/D3plKH1S1X750NN2fv3lyOX39aE2otOxhXMsZWdvTn4pfFgnGu8uylhlXW8tT4LDxj+mIYmZG2ce+IcLrr4SH8R09qwuyHM2JLRpgT7f2p+LnhuiBzUVps8RRf19WfiodNpA2zDQO3usJtBdGRyXja1Mp473WFW3KitiTixPjBCaa+\/2ZXuL0wdnsc\/u1f6hOyos82vFAdfX6koco0mLymoEyzDX\/9ac1qW\/mh2JJR9uTp\/o140sOaja43cvaUPMTfaxnciP\/bdF84mZm2MX5EOHXm4Wv444m0Ya5x4HZXuDU\/OnIDPj+ZNsw3D97tCrfk7tkahtt99bdevd8Vfj\/alRWKV45lzfEt9o7LN8+E2wuD8A2Rfk193bXqufyE5CKzP254VLNBeD07uuQR+V7rFQ3evfI+ViyGVl88d0KvwYXVvvkp++X8UPg\/TaYNc01X7pwJt+TtiaDwrz7X4\/aZcGtBTCSOvzOVNsy3DN7rCjfnRG3B8DfG04aZ+udPj90uYmXBtry0qPwppvnstcYgC5Y23Rfmqy9hJPCq99QSFjn5vL4za6350RFL2LdWL5en7Sud0lZ19VUFLWABEweG2Pr+W2fW2gpit01jjWL+OFt59lLjKltZ6t4p7MkLvat8ek9hytiBYaZu5flFcdsfYyeG64IsRWmxRSvzeR9761HNeuH17JiSx+T7rVeuYz+Z7g0nsg5s2jfsOnXmwTXsLfWeCyMN1abBJN98XcH8Vi+XpSU8H091UAdWHWzLT9tTMMU2dV1tCGrHfjzTvRbPTd+cOCS2dN4\/hSG\/1Hs2PyG52NyAUc68J+TxzqtN64Uj6XvqsSxD1AfTHc1z17YHpuf6\/Qv2+FHtOuFoVkzJE\/L9toEfYJs2jZf+qh7997D5mQvr8Lz0LUlPxeaO+1\/Dqh7XrnUeyYwpHqKOnxp4G\/uZmDfOVp673BRiK0vZ+yXsD33PO3FmsHmdcDh9z+exfx6uD7IWpcUWTnF1Xf1\/iD1eN31kf+qRmYDj584e9\/8c9gt1VPdIY7XpauKa\/FLtp7DE2fPrsfyDW5KfSk0d9z6F4YbdN6Z8490RdDDXrwzzhL7UoyooB4t5XLvOeTQzpvgpeaxtIBtLHWkIsOSnxhbOcA1n+zOxZxH+TX3dNb\/UIwP79LqZIym+5x87d\/Z4QCymelIb7jycEVs87KsnFvvq8\/oXn9e\/C\/tB6HJpWnzplLa662J10Bbsq3zUuaH6KvO1lPCCMvUmbGrm\/Dos7+CW\/SvjfQ0bGW4ItBamxhZOc\/Vd\/WuxG0\/q1jgqDsUWj9AnT\/f7Y\/8aGdDQd75aPV2YsL\/UbMQi16\/oMRt4\/NzZY\/567Bti7jhTde5yc4i9LCWOwf7laV2ovexgbNEoU9nRj2MTwZb8tD2FU1zj2cH6IBQ7r97dPdJYY7qWuCa\/RPt\/qjjzqLbOO\/1rtQ3CIFYvGDAYJLFLYLOaXWITktCKJBA4M9PkpL+mv7STnmamndN2mnSaZiadLkmbNkkNQgtoAyGxSexmNUYCY5t9X8wuBGLTNudecGL\/+Z73+z7P5\/m+773nHulKTmTqSz3mEqMwKmfqTNk4voO8dlq86CbR99UHAXoryIFX+aTd+mqfZaTuoj\/rjPTsEtMAcmNaHnTILUhhL7pJmvoGkAvr+jBAjzh9pmoc70e2HtFmXEStg\/Whx6W5ib3ID1\/rj8S\/CxkfYGLmJrFXPRS6AZm\/AnnL+27\/YoNyazgpkML0VSB\/eEpbcpO09dUHHnJzUoXIOfS9zjlV7e5wRjCd4\/UN8ufedweXNMqt4cTAIobvV8jElzoMklkYTZqyKhvHP0fCYm8ou9ul6DVmejbX9DEyfUYReFiSn8JacpM2932IFEUscTOIgu1AaZde6PNTZCjeX9alF6NX2RkknukHyLMZxa1Ddl4Kc8WttqXvLeSXSaGSvsYq9xlucqHAzEFWBO1wc9N4F3nYyMAAE5OUxF5Fg3noyH\/BrAmIpPKXN6uA\/aIh\/4K+C\/DvDWeG0DmeeUjeKXUJJW3vUwdauDkpOcg\/zigCDjl5Kcxlt5qW\/izk+ssWLIJNjsmbtMq1TxORcS9bMUgmOTp3yqrQPo1AkmeV\/oes3BTGqpustT8c+dgzvme+Xr7z5P5tGss7DPke\/pasSydCr3AySHxTCPIgYqnku7zuyPcC9likZM6qp0I3UOvvgvwE8GORo8\/9IMi2FfK0u6zbqAkzs9JiNxB\/n1XfPuJ4kEnJjFU3+Toi7yK\/t7T1kcR\/BRHkGd89VyfffZIeXMzyWkBYsCtl2bnlG\/7Cttaqa\/OIHMxa+Xf9mEOUrxRNu8u6AH12On4C8RHIr9gduR9MY3mPIprwt2q7WkXoZU5GbuneI8SvsKuCnG\/1uhA+q0XT7vLuUYAvPbYZ4R\/6spxEFKxdr9Lpq25qEcaIZXB\/A6SdeqGPHGGeLZq9ItEPNtw55hMTpAi3c72X\/kJ9a9V1MeKvp0XLqJqOPk2AhZOVUongvtGfLxFj6y0YBJMcnTdlVWqe\/hXx9TJl+mpNx0hD2EFJJuEPiEl0XNdcnXxvJD2kmOX5e0TIemsYkk6Oyp221mnHP0Xk4c77cau6TVd17T8QUEJATVdrtedySUZe2d6HiNig7Yt+6h5J\/D9ApAL60o4RddhBSVbc+wjyHGXWRawbVAP8id9H4F42YxGsouj8KZtC8\/RdxOYpeQVV29mnvWXhZKa8jfhR6Ho5iVh+0Y9\/RrztRehbaFDtGJJvU+g+byF+CuRhkKPypm1K7TgXIQ3YZZOSS1a95Lr+Gn8uYmitNRRZTI7KnbHWaZ\/REBNL1Gk3afsTNeaQmxVPRtzxJgwuauq2jYlB5GKffIQyYpmbCfRbAvQ7G9G1Spl2l3eNNYSZmekxCYhtzKqAmAvuf2vV9QSENvaWvFsv8lxhpxP5e3cRp2hC91y9Ys+QHkJjesUi0iOWeZkkwdYtSYdO6BuNSDkjr6JkXX2N\/hZ2Zko4QuBJ6JmrV+4a7gfTGF7hiA8APknbcD3mkJcdH4r48VrRtLuy+2lDmKOYGBWEeHueOuMq0g3Vhx6VEhOCEJ2ehEfzatWuMTWYyvC+gfgpcD5zX51PX8ST8BV+FuAvBvxdENeDtrmkNN6qD7g\/cITfGmXaXXGeLyMGhrjzsgkLZxVFF0za5JqnB\/DNBdo0SqR\/XB9mKSXeM8M\/OStcQ8m7+ppuWlgZKbvwD2L8ld0dEvQKIz2bZ9qG\/ylgh0UE+6\/vr\/FfgttjA2TdOpHnMiedVLq3CO+ap00D\/HVhR6WkhB7495doU25i\/XAd5pCfc1cP\/37QFo+Uxgf4esT+OngoIbCmu0XoucRNzxPsNcFfnBWsoxTdfc03LMz0FA2ctFg8jRLpHtdhAD4xXPZt3nad0LcSvhSwwyamlKx6y\/T9Uv\/P4Oa54hlXUetgXehRWW7ip\/CU8JXSbFL55i1Ru67K71P43AKoNwTokRI+gtNjbil7OsQX+d6HB2Iv9h+83t6HD+BWwfX+wPXg9\/\/heoA\/nb\/qKwH4\/wn+U0CvunVIFWYpy03gwzvP8tddFT39LTeOGGnJHHhc4DaHmMpd9ZHp+6T+ZHjKIn0KJWodUgH+9xLgiW\/cb0LgTxfoU6AeBtALhrtZ89ZdlY\/6W68f0dOSg+Eetzf5gL+fRNct8veAS+fp067VLYOqsKOyvEQUvCE2UNatr\/ZcYqeTyvZc4f8ZuFUC+tfqeyX+TpgDuN+f59NVXT+B\/T\/Qr2VQCfqdwPIIQdLulirPRXA\/NmAca+5LV9Wjft21o+L7yUuwT1+tB3nnYSlBW1xiGm\/VV6p\/JPF\/ARvNfpEfSqEgwptmGjS2Ydi7+KDa7lah52JJeq5g7zHsow11OJRHi6W8cErrRwdgPdjVMuB+eRO8XzbCrAC\/rtpzkQPwq2H\/sJI2XOt6+\/XXjmipyTJYMfY1\/msPYb+PDZT1nOcllu19Bpt9I9+nsGBCUA2QZwHM81tYXNh6OYlUvn6jSqeruvFrWEb0KiM9i7cHnnLPn8PWrMRN1\/q+\/ja\/I2pK8k9g9figmu\/4P4D54NbKckjlGzer23TCaz+C3QnaPM9f0\/ZI4v8ObBSK00y017tOFOGyi4\/egf0QitVOdtS7TpBxWbSjd2AoYNypRk2ScZk0y9uwWgi2cbJb7TZZiMugHr4NK4RgGid7GtymCrHp1MMKWNpmfQS0lIanPXeK64zlMHpMAHhelxhp2XxTOeyX5\/3EU184JfXGXFiULWfLRd0\/0O57TElJToHhX+\/X9Xuwj8PWgfMGPi9W3cDBBFuqKIigmFD8DFJdZ8DB\/r5ZFwkpLSbQnkFEdYY7sA\/AfPxVP2lbj9j\/Nux7YH7BJpjfLxBmxd9+rb83YAGv+qno6pB4+sG8X\/MT3vCF4SCYpqkejdtUATaNcugDG3Jimqd6NVenCjD3iw58YD90hjVP9WmvTudjUoHxVRhOM9le7zJRhM2hHXvDWhxhrdMDje7n3yp7wd5yhLZODzZ5zORiEgv3UTAXR5bJpWlwoBO9mhuT6IRqo1aZGdn8XX95V7vEywklv\/a8I7y+B20D89MJ9HGIUGXYgirtWXsujYMDnZ7HBYlJi9DJN\/gfQxn2zF1w3uu4MDFpEIoG+nvxvCu83gulOoFv+huvTueFpZAPOqEK2LMMtzwMkXaC0xy2tkHd4c8yceRiZ0SrR9uEtgH6+NYWIyuRs+qr6hiq9a+DEs\/7e36+\/OTQbzCv69dCj22ZOy7awYFOb8D\/c+ifotaYGdm83Ztgvv+GusUEqh6B5+N+Ft\/0MdS4yJpECZuG5FiLoCDh36ERUWuszGz+7k1ZZ7vE63vQePh4Fq6IiYrqnNDILQLon3FrpeD+itp01X5E6M1tRbSznB7HGIdWqUbuQDejg1S9nWL0Ij01i2\/yg\/YusidRVY2DMlDfHbrhaSRjCjhOvHaqsRZ6BaqHP83GUdio6PaJBpnlEPJN5Do7M4e\/c6O2s03ivQkRfLe+vDBxAhIfuc7JAuZrOtrE3u0QywIwrx2oBef1kP6I9ZKsHP42OO\/TCGn0NBZhC0uceM2ktgYqhyzDx3JwVA4qpm1CXWv5CtKNW+dnk8o2b4jadSK\/X0HG8ME1j1qFnvMl9\/MEe\/8K+SBnJud2AREZql9obrOWQo5jg2W9umrPec59UtkeCyKCj57rtQN6xRBxxMtv\/SU+FMjGAmcSVQnyVZCTyBB0+Do\/m1i6eUPcrhf5pkJ+RwiWPmqp8pzjpuWX77lAltAGKo7CcxLULxrE0EuQh7DRTGwR2y2mc1IjO4RDMvDBtb06Iegv2HM6t6Jv1\/V3itEL9JQsvsnmfBs+mo2lclCx7ZMNNZY1J\/duiKinsRI9V5pGrjCtOD8C+Xjb10G+JWfljizG8RYzjjUGe6gY6XT+KD5EDNbz0worTDrnFzHByr52MXqemZLNNymd\/7pQMomq1PTXYC0VRUlKpxxtoIZT+RCC+oVaDFE4nXEh4kdNVcD6ggpTjTMF0H\/wSl\/kRO6e+7HHYP9QjHzj9LsXIurRvuL7xvk\/cGMOllqCwrdNqqWWL5038a\/6nUoq2\/vSOQjmlaDn6cmZPFO683fhG9wsIm\/ruqRDL\/W973wH4HvY0C\/FWh5QkuOd0ujg+oEuCXq+OCmTZ4p0juzKYkH\/UcA\/xHk5MUTco630mOOnkSv2TxwGD0NxZHEZJK7uWV015NjRu8D9Ti\/J5HgevlGSlcPduibtaJP6bDogptf11h3Db4yfO4iIkVxcMQ8Vp5usE1uGHV5Rm8yMLM6un6KzQ+Y15BjDvuRnEXkb18UdeonfI0dGXIi0t1mInuOl5gtMDQ4DIUTa2yJEz3GBscLxvTf0ax2EfVmsExxD\/6EY+dLxhcdIcWSxABpX90wldP7F8UUM8Pa7BD3HSMrmm37taAHzqC\/682vH1aRgSU+j0GOel1ZYvv8zx23cBi+LyN28Ju7QS\/3ed1zHh8j69SL0HDuZVGriO67HhUj7vuVhOaiv6VGTsxzTMSHKwfZXfskOgcdIcRQd4BlXVjnvOvCv8cpHsI4\/+N7SPG5VXl6h3Muln3o6\/oIYzsPSS1HxrZMqkeXE\/vl5PQGsNxzZH5jlsc4HTAJrFPpQYVi063Gb3Mycki0\/aWdbre+CPWuBB\/JIQJ4Ze3MM+GsL9BwjMZtnemb\/HOQpB3hUVU6jfTF8i5OZzdn2q+lsl\/k8sYtTgmSPmkVXF9n380sPFPYugIdRirrbMqmstvzN\/vBb\/aMH1OQv7C7hmyWZORzQX+b7G3tkxBY7M5u97Vvb1S73+ZW9wiyPhXzL++\/26fsBql7d+fvC3MN\/s+dFbjMzslg7PvKuDoX3B\/ZSjxF6NMCneqqsdL5nL4vaoadnMPZ8VN2dSs9S+3zENuu7erYdssibcAV4cAAP2c4O3yrJyGZv+dZ0tct98+xbiMf5WEYZ6h7In2b\/ScQ2G1jvKwPWp9q\/Tg6qedQkdl\/k3C8oNWPtlVE7xekZ9D3vuu4ulWeQHQXUZ7PAPAofD\/ufPAz0aHrFBZ+bvfzbfJCHCgPU\/jB8i\/NdvcXWDvIyQV6l974tL\/pOw5OeWvT5t2ybtueRO\/T0TMaut7K7U+W1ZLuGHMrHMgWoe82TCqFlwXa4AOQD3wd9QEuetP029o7ycbsUPctMyOGZXtjYr\/RlgP6wLQiY75CiZxn3srmmYdsPI3cYoL4C0O+x\/Spql5aeUbznVdfdVefZYKPH3Kkb7qxBzxbfzSwxKWyXI3eY6ZmMHbDeu9rmH7VbDNargPqvbJ9E31GPdMsu+P9uY4H9rx+QAnxJf7EJzAqwH0ywH3+wYaPvaEZ6ZOhZSlwa2\/QL26OoDWpaOm3Pq76nu97zZ7Yc5FABlilwTQDyHr1rIycH1vY2S9yXOKn5fLPAdrSveK2\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ZdU5b5AiLhPbXtkhqn7bI3oELy\/e103WPDbT2ojDzwxnPRZrhnsw30\/a2wJnuSVBLU7KHWNnVASGHE0Je7aeEF3j+QbmTcNUPwz0GQUGodtCrExAu1JsJeXvF2x7kmS5az7lQbe1+wtkExF3o1ZzLw+YlGUaJx2vdy9VSfQ07CMSwU4FEhczHR83jIVhYVe4rlnLYvlQT5pg+z3xPg74uScCzjCewY+TTbcw8PxzRIkfu\/s1czYiXWp4ImvA+8kOqCd4E7UHSV8HMlgTsuJVhcs+SKbDpsySacGGSojOZ6A\/1WuETQ2xiAVasI5h5mHOUJ2ToB4EsvpRWvd7MUU\/u46N6smYEbNq2BN9WzZZR2WIb184LYRszaggKeVM6cfhD3SsIGTGPQPBoU90jSykqceBiImElpSVIeBAJD52IPECCP9RLAbVIPiaG0RWzXstSdS50dEwONjNV\/UUmMFFPMVFPMVGPPNjSopLnkpvWyVJCvICzRIgzhqAtgdzKKX1PJO3WBX94B1NSIX5GUs4UbvV3gpSzOVcV+rFKakw0WP8bSyQtQfTPAJ7wNIsS6KFYds1ubm+62e+qx41FUlghZsKg0bXkb9H5B2nm0Pich9EAzGX+UH+QRTbH3CwnzRlVQVgWb8XKbaDiaQMJ8UEnuJ1GUTb2w9F5yPoBH0gikJBBwhZCadDfEg+\/BR3hLSgIb8nS7BSv8LQymmgTMtgsHMCWVg96gt\/jWQM1YnjCvvJ0eBNeRwuYYJrDe1C2lmp\/FmXFoU5zelumvZVIjIKoz4JTYRsmRwfVKihr3wAy883W5JHSRnPkZb0qQLqaS2GietplkbxZx1G9DllQ4hVmBVh6uSlkkkJwLrdILXuzNXGU9tz6f6caASGjKTfItKIVECvsgMst6QFpSvj9jKfZaehPwcQavgGriM54ZWWcEBb6U0E55KOOfl5QnhH6\/FlLdeqxAKzUC0593vP5BtifjvAMG0460SyjmoR2\/1Q2vOX2QnD4ZDVNHDBOwQJ9Xqe8pf3O50QasdXGqewdnH4DARKDsonTwlYk7D3F857bqZIRSBzAp6SuOaXvCQjleorwkr7lumkau1Owc9Q0sWVriuyqC1JYALc\/jtYLXvdvo\/ryhJq9f3VEhv6SD\/QlNpBVfzURiFiTqQbjW3K0XnJ11iM1QyF6aTXHiVmBGiZ+bn41oWXBf0C\/8EAB5GSJV2BpkMoeJw\/YxBPQFL9H0fTx8Ugqdf6vuIoteAp0qGplzKVgLXnkkn7T4cWWuofQth9afLM5\/BWUgl3IO7X\/0ddLawmGcD2VFoSveGUtHdPt6FNpRPiKH6zTvNZqxGFwknk9r7IrwwQH4szD7FsnJSCO4iLhn05KsiiuCQGfeOOIYUJi35v05I8Y53tlby5LxLyumvEenJRO25qltTnxB5amKZPGbe+2zLlVObdULKPpH5QuxeRytA6JUD90UQ+GOrA2ZbGmOGWRLfaX+KNyZ4orSFEyhYoyPz7N9BRzeEJ5WYE\/4Hd+rKN8VByyzpI0SijvaXHkC3nS0rRqiHcC2WcOJyr7YuBSMQPCX3QEOti1zDljcTZLYImVoEh5e56itTJQfur\/4F5GJnyV6meCvKVK0KaUmmg9puvYEvVjj02t9dKKxAKOyCrHoLYq3wqpl1ZFu8UsnDmpY7igDMGT6bo2VOmH3tgSu3q8iqNMGA86y8KC0FkKU8qDFZEHPPUHliMA2kthbeliHYDaS0lBXNUNIEb1Lfeqtiwlgvyh3kTcE0SmMIpx0fWnuBkT0XMxrdMng4UhTsVgT8WT6cI5Vm2UYmMJXV7sKKHQ2\/J465sONh\/wQcDyAbJgx\/e5PiYPra+7lT3LwEU\/Nvey0t9AyQfq8UFs5KJiuZ9fC3ryQezooiW5sV8LklKQF7GGa7RdGIUNtzMmMXQygVdTvppuQ6yec+Wep4zAJ3toPRYmDiVqbfo6CLY1SNioPBUV0yCLFKpeMaYx8diULDtzvvtDDEUmrDoJJNRHEHOxM5EYSsGmxLYspvxuFXNQgrNo5o1L16w85vonrsNocSoWIq9Ru7PNZYWndNxTnZV7wR7wgGd8p7m4AEfNFVUtIAM2muj0QDkEbEWPwMsfJXlvdFJolkBpUsHa9aWgWcuKZtk\/G3lBoDhe1giUFGO8wPcm59M4W4F4W73pDQ53XbDGMVoXmK9lv+aKGv6hc+JlSfCBrx4fOZnyjH3gK1Qin5M4Adk3e82HbBZkeqEXyT0MLI4MeJCxf+BcgewdWOYu\/OAKFVWrD09ogCifjv1h9oGvelD0yDLJ0dbSb2qlOUwantJDY3chxcAU8NfWHh\/FA9XQesx1kxzgQgIqUSgAOgXkvwpy93lYo4B9F03BZfAf\/XwD4jRJosUlmHMgV1LlzlTSZUk3820lboS1pyrS\/nWRL3ENXkJ3pj+Bfx0twicl2s0Sz891PiJsMDiHtEs\/zXjIE71ghAOoGd9x4TPxHBDsHQ2\/+jnQLNbw2c9BPBZ6PNBw3T68fVv\/3sb9aWMBZ9Dr62e6tBhz6MprjtcxS1N\/zhXP3Q4+6Adik2r44ZkKJ3wlkfmGy911+0TpOA2CmkLBvOz\/qPYQRdMOaBSVruA1tog3SxIeZncsGXFxsWUTGbIqrdo\/oko\/LDbP4TMbQoBFs6zaOhuQcovkhdHwHIyG5\/z4trQangur4S13zrm7BSMKYR6Xhx7DrfjQSnxMWTzzXa1ykp9Cg1N+PCwbnIoGh9yZcrehrIgGrjhVzjo3HIzDn\/opT+Y86cF5QjOpfgYPh2OSMyulDfguR+srTiIJro9QLqC2MtnAh3VWuB6xii+u76z3OOGgWVszjhOejfmU1+3uhfMRL7uAh8HqLtqw6Re8SZ0OlfqE0iLwgzV9fCxFGZDvuuQAgaV\/6GevouVzR01QVngGYFG3swevXbdQbkp5Q4hYUwH4tZ5qQmolbpVnbPVjvNqJ4WlLTx8fTbKPEK6d7tVBvlYgapxNIXVlNcRU\/GDVCn9A8nCjiWOxiHEcjhrHUiDXX5EsehVE\/WoxpGjN9RSqkSK9eFdcF4ODaJQ26r6pVGWG1pK8beqsyGbUyKs1NfBTLwpDocDlI0Xgfk2cfwZXp88\/g6tI9M+gGoRzK2BJO5+F2CSXW4EaFLPY9LDn6zSmIDHc3V5JjcgAjuFOHg+zj9EAsF17a\/iEXqH8OdYidnMhHtXZrWK2xYFdmmNlrGysK6mggkzNlZWBKysDJw9Skhb7vC7lDbPi5oh0KP4dp8rRr90n+9Jw0HRv8YHigD8mXCMzcEINfE0NnEklQt7Y+k3nx9HveGJOGp6YoxqXm6vj0zM6eda+cfWMw8FZ6ZKQPAtRuiSMnrokXLVmkP7UJSFpzeqXcMouxoSlMfcyfEOv8C292j2DPX97kqD1LU3sG5q0zpRiBzTrqnOjqFXSuYWnhXWDx9ZtfdJ1tL5WhzFZKaj3m8e9M3HcO5OuNv2N440rnICntTDc9nGgI+zX+r5SmsM1NLPdnDas6xKRfiYHe\/OT+VD2prPS3nQj7U1npb3pZsPedF5VCy3gWxpLk5P80W+Ajd0AIwp0VPHf28pOJKxK+LamcxV61Rm+lXrVTw1Hdt0gVHXM09HvFanOz\/4\/hqL0xydjyfPJr8Tuc7GJfiHlej8FArrPJE0b\/1ci0lxH9qohII3B\/FCIRxOUz39POhpWwpESjFbb5KKKSolmm9z7THLv0RPufYPWZ\/pNxb3F+0+4d1Zx7+tnuPc1yovBNvj25Df4sZi432C03q\/g1PT5Q33UYG+j59jb6JfsrbjTCpbep3wMrRtmdt5kT01XghE14M6pYtedrj06Ll7sPh3hUemp49PYGbn4Cn7aposTGjt9F1\/DT1uZu04Gf1B6fTKQF\/yO9aTjo5Y+6FyhXf26c4XaPlpP6B\/gWFBYsKuOpo3L1yEJ1cXrxk3puLjavpnar13YjRH2xQjhnrt\/HNt+4R5xRQdwnZdlju\/ikAThyPFdZE8c36VwjcQeySfTVfdtncq3Bcj99fGhfV1UlonKwB3K8eG+83WrC5U2EoRPU6KunAOFEU5neR+aSSqWM8Era4THfGn1ccyymtvWTPmf0r4zc3FQd64KCh+pOVQ8F6J80dkh7drDY7NrD8UEBoXX1NwZAugQ+pUHDQfuyj1s6Ie1O9QzcaK9lrV2TLyiQau6hRBRw46OYzsqsHJOJ07kdmbYoyN4mGNGz1vnba\/lCUH7eCVWxz9cVNx3IhdVPm75ijJ7SKNyfQzVEeBHTtevuzfWC3xzbq047q8ynlqXHA+4dyMc0k7F8xkPgtRKMjzwR36WWmGGJ1OLZTiBy+IZ9gI2ja0+x+lsagUZnrIJv06iH9YHjvn9jAXnLMnGcAEVarqAm3JWmuE4uwivwd\/tH45D3+MfptZbntubvuAhdbp4Dx\/gl9iEi+u4a+DuAd47wAcGfnmATQNSDdw1IN3AewcGPjAgy8Am35OLbkAdgISCkGxU4ABagsXU+TXQhDra6ZQnvsfgvuT5LIlijndOh5CiYe02mmXjndPUZ3jn7SwYAgxLM5EC2ecq75PHWegzzVWX2hxHY0GgYe00CHZinvhBqrnY0bwVXM68S6LY91iw4628AK7jQRa\/F5Un2fh+BrctXVfddjvg+5VY6esZLpd8p7zyZHbM3RmC2z21FW7Yw+OsIFZDWH9Bm2bO0FXW9+CEzqvbOJBuuOXCMirCc1Vvs2oAGguqBgJoAM58nQAqOoES0FwAzUkZRjlNFe6XJ0bP3NVNOQq+jPXOHCHrIhz6oZ+talEn9FKC3PHTN5DL9Qz1shNq8v2e1uerKBzsmDt+uGMa2DAMzdLEm9aujm4zOMnVQj7niZa\/447msazDY82l62k0qDsa1kY7I8We0TPiwS\/OSASInpMQDyFf7CM9IxzhVf1dzDrCUT3tIQqV9ez8KZEOEPaogRkeCxSDKxM7DmwGeD13mNu49zZ0mLv7Etlem0Jevr0E\/GmZfG\/Xy6Wgv6XRp42dlY3BFee5YAfMbc3I6+6NtHXdgJNEONK1dNgRaATGDkrZLdzuuKAZ4XMxzEvqOC52lAdkoxV\/qK8c5v6PidaXjuFKFsCEQCLSu5BuVunqFpREYnFqiN\/UOdADNeyH4679UNDad\/Shd0FCbl2Q0MOfqQ6vQ3gdemj3nSg4poY9Pn5nj4tCH+ml8+A6tZuFNzpqQVoR50LuzO9Uouaj2waIDjlALf2hJw4HDhF+Bdnh6JlsdVHkRkeYc9HLe+uCeHhBOSe+0dbNjnhQ4Qhg1t9izknGfOX1dQ+QidGGv2YFtQCoJEYtnbxsk8PWjY4k\/BeAn+Nv8BPjjFMDT8CDDr9\/uio+IZzyagl8V3O\/dRLlbOkP4jolkgdT4MojnypPSEG64TKIWk+d76hlmibpYsYVqpjbeSV4ID8RV48Y79C9Q2FdYvy4o9LaIk35vTAuK2npKW\/DwhXqKKe6z1s+bw94a8DRrn7fukfS4+Pkrw3v0SWnX+ro+6ZQLgjSQh4BL7ny92uUDLjcYEtuZ7xNA25PlLsnw0tZMHKYe\/wJrd878OQCUJ7fKvflifUgIrV8F5FaXuGEDax7fGEtcMCm1md8aWUcD2NrAlb7N7LQe9R0LbmTa\/bv+jYIwcgU8uPbgjSHXM3VnX7rhBwECtDc4JFcggfn37JyRyVh+RuwKQboPM\/\/3vCIvuB4XhHlOUhunQuwtealnPS3wNE\/dM2CwJpx\/ak\/tjh9R9hbeY38uxLgjkxgFeUI8\/ufgpg5kq7dY75BmVacJUCYIi478mSp92UHtqXz+23JtSBfn2r4r9bMHcIwA\/iCU9MeROuQt6lpX\/AWHYNpTMaVuuAnf1d6Cu+Y5TlEDLMX8+O+HZdey3ccDm4F1cKvimeO8Bm0c80VU5aU7I5LUnbG2\/S2TsWg9RYQQuSSy7wq8EoVuBYFAKC9pRQXpSJOvJXnxNylZ9yOOOH34uVavLAgUFnta7lFXsuoaAV95sCUI2lHVOfacRJlUbaKOUQs+7QIr0ECS7IV8VgQ6BEHCytav+bOA3epmINaERECqYAECLSxTu\/w3+VS+btzl9d3zxsus9WWec2dOxcmrbQPhoWVtmPW75mXybt\/o9oUOhe8Zhi65Y22SyueahT7+j\/Q3N9IMlSP03XEY2udYyZ+KqQV51Kj5rGUOnIaweEUKGYeJxGPnSF3aUimLN6yWZw70eyQu\/gOritCGfZMmarvzl154VG\/5fqQ4zuEq9acv0G+E9XVDrZMONiqqm8ecFXpcNAFoc3KBp5k4UZKx3TlhRZ1Hia2tCE2sAHb1cgx387NCvoouVcR0E0yMXVl1DGwAUf55cYo6ee4uqVx64zlJY2ATVtTcmlfiWXfpkv7ijtTMumBIG8JQd+F1AIp8mLrJ3mv1R\/qb5yx65y6aM2dU7etKlSJduooMcc5dZ0914WKN4GU4vd123i3MuqCF30teJEQHHN5uKXQ0+ilutjh2s+hpBoGMJHXCo0qCQOqoMMwX69\/ti+BedxJ3vFBsUbfOsUhm3KrhgfDFdyylgK2yHBUT+mCl9HIj0JrsoFCzJex9RX6xVhgAdJxPA0sX38N2iFY1ZTH0gcVWO2npIQwFnTu4K9a9xJx8\/JcRyIQmiEJCyf0tG3m6mrKFi5WM9Hftbpotyu5GdyX1X39H1hhuAuxLG54PQk6jvDXRlr3wFAC33dOnfXE0hKeaeoulXbDwcvVj0INM8vAfesH9iwI3ZNjAA3MEvKSrXiyYwLcD9y3brgA3CsAuxuAXQC84bhvfZWQ+woyi+IS9LQfzflONuY7cRKNEjadcij2FYoVah8UHu9peSXOvAcC+J4ffy+R+76kgCNOv3PnPXfxtyYXbC7Ub4K1yeXYKomNUcUqE5mXeAQXrzsjThjKR5zwgH7j9oiTmFFIPDF6VwrNAsYyRSanpVYqKqgD9WsKLXT4M6dAZ+Cf1CJe8J9xtfOfrcK7zt95favvy63+mYP+9oLXef+LAnctB\/yeyCEmR5j8teeCxCwjY\/7gm2E5t+mG4gwzU6iW+ta+1Lf8oQ4E5YR+5s4D0LWMPrTNPP8husOzwpiXWhkWmrQ1x6EV4IV1joWubK0wbFgrwtwLUusHx3xu3eJb6x\/szZI5Ty2Pi817JX5urFTAp9YHDFuMD6w5xwGsxtT6zoGPnmbWLcdj9mBlZMwewEzOE+EKs0XVHzgzktRi1u1b8A4mxZnU5R8fpU0HtP4+S\/308VGLeKypMClDcDqB956vZ+TWCVw8R1ZGRD\/0AM\/BFtAx8TktFoQo6FEJXC53iW6vwaHk0UZ1mchhQA47K+lgenyO1ud0bEdUZHTdPM\/Ar4au76w5jq0Ai+5aQxxEaWqtAK\/RCTV6oKY7kSs9onM89\/kitdY8buAHz2X7ARWV4iEN5PDxioJ1Bcx9V2ypl9tKgM156gxdIRGGpRQlKHZG5Bw5XZf0WyYxu4peRaCMntcVGY8atlcJPl6BCkZHjicYwpgGBOaM2VGpVDFFbgQMSBAWg6mBueuJCGryHTh0DwKRWSIQWZylVq3nDnPx0DLxgKVja9wThwIW+0PVgxfWuAdYszS4FaTlUmyQ\/S0G+KTbZ7QcuwfXqYsOn5EJnvAVxNdb8cTS2pCwMqwzwiDCQElczoC2nJG+BUTyjHhqnGdE\/OblVV6YFTBn62vBQjUeQ4fnWHlPqzPigvTt7RuVgNfdN\/C8RQ67EMdwajldA5v7eN\/A+4cuzvws4JZ2GaXpDl96nA\/gTGlH4Gxn4WdjQdoHPPVHYZ3CLy0RPDAaaXhgOV1hfcWZ701SeNu05dZMtHhoaUlcZ14iKhRP\/GiAd6Rql+OVtR5YjoFXRaUwfvGkG3iFDxAeWkbJraI0xTuz0M+gKETr4qkV4T4LB6l1jqcsmQD9kIwzhr4H5K4o\/MSmCHkGyl08FmdZqpw3S4qCKysgsOmAq4nAfIm1Tw5yFzx5QPzYRojkNgvqG0HacuOGLVdSnRjOKyIqSc6cxC5eIXxOC7IzJzFeITso1hqssiS2tPagjHK3QjgKrRUQPnKnKPM6icWcPRnwChsIp3NrhdMpyN6aNxZroA5j7q7wHsqx0Gey2uWZCJuicKSUnHreuco7z4U038gTgwO9E8YmwepJOUj+Wwrw+014kZLnzZ2SwYW+YqvE06BcbtdJ1Ie8nSlb+tPZdAcmcodlO2nGwgFLBjtJfUGmuFj6cnVhLwpm01CsCYn27QtZyEkAALyjgPjkSb9Ij2s4nE3lRQUFx2pwp6NRwkcs2wImjhoU2Jk6Z3gCBIcOCuazOHWoIFycRIvUArqC+7MkrK1VufhmQK9huTIWAKF\/ejDQIINBqbVWZDBw7Vl9aRYEcEgmxUoMYGqHksThdGENiafWXkkXh0AXq9kfEoZNuKSVRY11OSR9mS7nx9KYEEebIKwOkuOYyeZB9Ev0IYkZsrTTYMFWqQbrSuZAOuieMQfoZr9EKQ4nD7tMFKllxxxBWW6Z\/K8c86C5iocQVq6LZDM8yHE6ttZ9loi33Tn2BC68dL5RZncO2+9nqxyms5z38yV4\/vDBDgvDGQvkKu+vdsRc7ETDZ4j6xuoOmvpAuahjVq3VLGPemKdPV2HMa70Zs1mabQHiwZYuCybwFDYdl7C3Y5ZwGMbp6aWGAX0iNB1I1cojWi30maDJQhDdLv48oceT5tlayc+1RGsPVfsToM8pHxWsATbl3BJ75kaeuAFr8EylLcF+rGebMrurCZYRbCgDKxzVwp9AK3CQMm+rZ9Ml846+qmWsqgxUWWphffRZkpZEEJAgRQZJAvDQ6sLjO8s8xCMWW2YXhIN9vL+Pu\/uVFmXuGbgRGYfsHSLkYrb000u1COY8YSNeX2wFOy7kiy0gsB6lXr\/DwoE8UAWhSykAz1ImqRfA2BnbpE9Vrw1cQJaBzBvEStWySayEsgK0yocAwET2ryBboaQbgFChnQAACyeKdBXQOebLJ5t+GSsmK55zofJswDBWUQawQQhZYgMmngaK+YnnHPcL6sGYJB8iUO8m\/YCqf0E+BNKrbe15s+ksYPLyDGTtSITBpLGnc\/mEdFSk6DvwqHK\/L8v0v1kw28YIWUUSxO5+Qldq3FydDhtPofolzC\/pQ44nsZ\/+VGoDiWtI56WKVMKel1t1i6Z4XtcUz9VhRkRrulLhnLhl6NtwPAeU1SZWkBRoqYswbDdLE5uuoqBRxq2g0pOUxNA8QRecHoSuLoRs3RF+Clsg+D3uIkv7NNySJ0xUwGGHUbLDKueIcsrEFG3MmaQB+vXVJXo6spUOZjBY6rVxqQFVmNYu4YJJmu2Io2qoV43c0m5nU+AP8v3PdEcdZpc96h5s9Kh78KsegRFue4800VIcJdkwCvxoZxEl2XjHFE4LRYtPjWs7rOSdsrFEvyqWTkQYKlqSKpFqiWUN\/EcN2UYcxIRcDha4C45m2VZKqqxVYK8qCCh4gcyPM\/i2B9DJmZMRMNk4c7AqSztnZS1Ya0ncARdt7VkFCmvprG\/xWLN0ZVuo5q0mCdfFXRiIlMchhF+aNWVx\/BN1tDpZWVHDXh0f2Ctx68bRvGgWZhbX2iuXVl2cOSsXlLyhAz6tnWiuuTQgfN7T4S8Y\/GtOO9ZT3x7oqVx0IWfJzjMogP0kxtPM4nNy2RRaNbv0\/MJRKJ3oNwQW8EaDqETgjSviNcF1PJHgg\/+hcBlVzE1FIIccZEO0lkDd5JWxLa9YMkl1mZPpQoUZljd86008iJFCI8H2plaF44ZTb9K1AyJuBOkr8ArAK3ADwHukuKEViEB08j4BBqn5GdFs\/mxYC7BpUbCAuH8iPCwG5yVRmhIeV9R5hdZDuiq\/BCAlka3qb1tTlgfJFkbNg7OocPIrbUniQa5q14nEVW+v5kXFqGmz4\/OGuQ9cYI7F8YyIRyWtf1V86xWqHL\/OHQZ2NcNFaFevp4q0rXC2R9UbBNkQoKbbKZNQa2w3HLWcCMTQCglefUFiGNGGea1IalrY3BwpwnQGd1pAO0t5JvZo0tSHRTCLACTqZy\/dNT\/fBWReLrXa5fMVNXBU2VrL41Q4Ta2+LHVeCHpeZV4tkTZwzus4HCIZy+U4QuuIevaKnud5bWuskBARpizeKiHICMryZ7gRInYFEWJg31RDoNc6IqWTZel+5pElGHTq2oi0GAM5ZjVFZE7AUVZn8NkVui58HKRrbOHaIN8qiijPToSx\/MnZ55noUOFOqgsgODXp44ykIvI4iarHe2QPnRJmIu5PCj9aT\/j\/pvqZDBbdvKPhFfbdGUkzloFPwENB71iPOZ5bRDGUElztHoaH2dPT9n1yUNNOXtY+1uMJKXhDQ0At8yVS7j+iRFFcFGHkQYdP\/CgaoUIoWKaBhad\/OeUeuPCh9UpXdxLOKGuE54p0sTMQWnu1kE5jGYFfF5\/GGIv4\/T1ivLSIcYhsCagPhfBVi07lNQIXba1i78Ai+wcAWkUzOoOCPLv0Q\/6awZHtfusM77XO3KpG2RbaBHSFf16kg6L67AC6tQEcWcR4WRsAv6+HqZK+hJJC8rmKF48vRNywoCf+NjhMTzEPmeMPkNUxrY6JLyE4XZT1xN9nSkBOWULNwzDWUBGV57buqfKJGvan4xsyLG2un4Sf+K0Dac4n16XyoW0WB\/FvqPPch1A2PRRhq9Z8FC\/kWQz013mAFX6hYkKIA0M6dt4UAtaD67rq0o1w4HqofzBQ+i5Cog2FPp4Qs9uDz61YH0+IcdiDz6+Ix+5BD45YLfgyi5vnXiOA17se6cKHTupT+7mYvwBO9jZW3efm0mqRv6pFJOA3GjCrAdzITn+njCxX+o0QAW5ABIA2+nzkh8r13iMs8fTvYC35DszohiRs0IIb3crgcH0BH817ZjuIr+aQg81N0DJJd3N97z3dCNv2QJ7jZoxRtefhRlqkKwUZNdjR2X+8qG\/+40UtruWXBovqA3FG5ZtzQW\/L4zgbFp590enIabgE7y8Xf6KMXOuXYjIuxWTgN\/Rcv8QM4Qd6SXxK6Rl+p55uts7UJ5ipTzBTbzZnaAvBUF83At\/YA0vNk1huzQl76HVJ13rXk+E3zI3ZfuiNCfM8awyhJJuzJ8KnageGARFR35yYZs80LRMkOREkdSyCo250TVZSRewsA3V6G4E6p\/5gEHBNFRexK9WXhC7FPCBcIqNNDgQDuDg+7AH7sh7kzzu0ZtLArV9KixEUab9p78ti+3gtwoVaMhgrjhPf6hqdi7b+0DswLDAW+Q8cjHIyEKz10Ds0DAtO0WR4TbEDcrFs4SrftmVbX7XFWjmjhn32czvZWUHFbio72ZmLb+mYXDc2NL6g5\/oNHgsE6F7nVkTsLx7aOuvcCtmzeDim+kV7D7XE3\/IDaAN\/Ks1PGnzF8Ib4OPPhIEmI6zeiA22N7GjtG2V5AwndcQoDUiXD3igzWynHwg2MrYaUehlpdgPQwjKBd7Kxnwqz1w6TRyz1AtIG57pS8L0prH4qbOwf1e0LcQIvN+FYCgtCoMGf6JzAbSMdXOQx+MNj81B+yuLTsfG0+BulZjmfXPxA3xw3veV7hQ72Rp7543fU0T5yPxvzRBpilJVVw6UBCBQXeL\/lfjr1vZ0+D7LNbGGUTesArqMuQACrLCS4h97GBL6pT99Dc8pA8t2Zb85bRhYwtG5z4t6xB5YMNPyuwHRdxQCVUGgZotk8V94Oec2P97rySf7Ic\/Edh+oi7cbt9XBbjJJ0qKHHR03DI5pluhYueWcUdNJhR2tP4OrdO\/hClbgLPZLXZbfU0BESr4a1IQuCvvhOr11p2n\/0\/9uCzc8P\/ze1yNuNG58xXvhJcXFSffCoT8Q9Gn2EP6pLLomU567lT3EfVdqV6mGt+kS4nkD8brRhZJoV8pewNFV69gKtfVFKX1TK4H05japGZ+HqV9iXygS+hxvkKEf6zJm7G\/fgBYoJWHcbXHtBZWKtFr\/q4j017PvjRdHF+4IYfqHhLwwSk9i3\/mwvnHsXMND+U0TIgY9Aw7ASLsLBfhHrfhL7r6LBSgdYhNeCCxWhfGB+RR1pzBL10apvv2xbAG9t\/Vut9W+idQFbawOvvVliVe9nsyRHMsC8SITdVxNJfRLNMh1GG1pa2SAuQRvRwIblNIAp8sk0QOIz0wDEePH7TuULfI+Kvt2LzjT6sdJlXX0ivcXQunhqNJ8DqoYJT8f6QljZxPVyTboFySByIMEMpdLXJ1F4NmbhSFRXPEOFYhZFYG95ZRysXT6JQl34Vox4w9ixKlPh\/E6CSRJXAyu6X5gHZYvyGVrEC5yIVn9\/hI2xbHS26IcINrC1G+9krNzysdGJZ2oTJrqttZ1BjsIiPFa1lYXZM\/g4LZBxWsdErmYIDEWQDb8iN\/wPsSTI3HowS8Abvb5RS+zJY53w+QgoGlKfVrMboRzkvpiyuHhMWCrDwVchCv8oD4NzCCCQ0PPeue7jCI9wH18hqyjUG2YiuXgXixBZs6wAFhZNkahiB1SBqyFgAInDEa0jN4EUfSGD0AJ2r6Cf6kEgMkH5r9hOwtlgpRWxDaBWiYbfZ1d5PZaFvIoKERLkJzMStPb0WojCRMQNISpsAtzu\/r3mfBD21QWEcREroIzzKJsdS7G+znk\/ha\/5FKJcFzM0lhFpQBgO2dwfsSxKiArA4EehYIUiODl8jagstaVGOJwd81BvWkRrgLdvbrPZwI\/QekuiHuJQJkC0lDqlyQvrzJPF6hQ4AXbfETHNwHLzbOwzgT0eA9gFGL6rr\/0tnpFGoGINL4p7jj+tGmDrUdW+UMP+cnxf8OQvwJPvnS\/utmg+ccLTFL6hKwC2ynWyL3CtcdGTUT4sTcy69nsb\/wmB8wmf+pmuyTGKq8fWoh4a+ZOiV0Bhovg6YBAPoHzWUX5Bt3qwV3eVFmhTRLltiCj+UL+nlF6AOet+K2JUUD6wXmW8jF0soJ\/E3WgUkLwLeD7E8gk78BFhpQ5ftM3yJioYGp7Bd8ozJUt\/Axv3F5LGAeDL1uCLqMk588bVWl+qQILweQleQFIZKzDgjWC7IgXuGsE3tcOBhtbfpJ08ECHibF\/Y8cULNqRtWo66nuGnH9lHXVlfRHUI9cSv1UhU5RVn+dLk28XUwBVcO+PH34rJycprDRP+EykuDfwBT6j2Z\/ubk3G3EN9EN0UKnvDCQjThG2gWsyXUqilbaghZxVhB\/CvU+kZ35QedfjJj8FlhTVwYft97vtfMy6gmQN0ybRiJYbyXQyiD76S8l27td7FfEfhhy82oPmmUchlkVn2AasB\/1mHxMQi5SAZqATFOB7z68LMFuSp60oCXhjTGES5fGW+bCGujmQ8EolgrTyIuFfnqvvIzCEqHCkEJn4ujysUvQUM4UleCO0Td90XsPfl1igtxbXZ7hHvIq4hFT\/sU81Dox3wJMvIOKAmapX2E6ktqJcgAXsOPdaG+GDrgsE3rpOsNkC5JdRbbcA+xgzSEt6hHg8wpIWBJ3Mslgb\/RL70vBIaqAsDd+v3AD0flWhEqS+bHb6JEX2BlSvhSH7CyKCjLwLd6Vi41l5tegY8To1hQ0lj\/S87TaYb0fEcN+91xeXb2Dvbzg\/NuSzDPz1vrVnJgzEIeqCh9H6n+jMmhI0msUHQlyUQFCdwBYukHWT3M1aL6WFmOmofWZdamqvhneyEmIkfkR+SHuoZrg\/1O4fuhn4vBfles5Y\/Pznf3eQEXO43uu1pb\/9iD7z9\/hK9ZIbQWxbcLYcsq2Pez8uSPtArHFf7GAXJtxWYyBq2I+ZNmvc2ETaED1\/eji2GI6VCt8XJ9\/nFf\/x7GPeijzwoZaH2p3\/9UDKkbdp6rSwTLLewQz1VXRtT9AvxQkJJekzAUG+FS1yRhqOxBn\/SLdr0gnD1UXXuj34NueqlEAA3Zn3RD0r9Xzy76EnHl6npLDfvt8atidb2F1fXKebu5NJIoALG8P8uyCNraApKxviDsGtaMAuIn8Y031MYFWCxgrOfC\/i9F+zJxR0PrxdPo42\/0RTOwsVAyn2m5H8ySpkdDLTyf0kAzNuFsIUXB4pk+jahQAUrLgiz8I41CKAi\/WwtBRlVAqQkXMN5UqiNF0Dy0Bq+BbTkNYvIz+1hGhfXHT6tawlHOIAzeOomi7IolI7AW7RlGvNwRny9DZSS+UPFZFc+TKXbPOW2qP0rkFoH3QOuzq2FdzTL2dEibqTrnVasDvGbFckqle2j5\/kZQWctRDA4aBE+XGh6noNBe8YHPZGC\/J8m6pscJH\/Ik7Yjjmk7qiYCBO3CEjjS0jYgpyxDnNYUZaKJU5YqIRldNX5T6hyzfWD4e8KHVxxD40xrhy4tX1kcOn9yET61Z97wR+qseRUx+5d6KMZ\/2+cAa4Fk8YFkjvl5dfsSjWrznBVqDfgOfARnwRvKlSJ6l\/Kre5QXcbFzYhcIuP5b8RGsXyyfPG\/rtaz5M6TtuNxIv\/T79uJFWLR1hzcaTTQVaWM03rN9TcBUUBSaVQD+iRj084Egs92S19jJdhAYUwHK6+mgNSf+BbUMeS\/w\/<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-mount\" 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auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-nn3noigj.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-nn3noigj.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-nn3noigj.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-nn3noigj.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-nn3noigj.nxe :where(ul,ol){padding-left:20px}#nxe-nn3noigj.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-nn3noigj.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-nn3noigj.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-nn3noigj.nxe svg{display:none}#nxe-nn3noigj.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-nn3noigj.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nn3noigj.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"console\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>A-P02 \u00b7 TOPIC \u00b7 climate-and-natcat<\/strong>GRA dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GRA<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Reinsurance and Catastrophe<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Reinsurance and Catastrophe<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Climate and natcat<\/h1><p class=\"nx-tagline\">A warming climate changes the frequency, intensity and location of natural catastrophes: heavier rainfall, more intense heat, shifting tropical cyclones and drier fuels for wildfire. Exposure growth in hazardous areas adds to the effect. This page sets out how climate change affects natural catastrophe risk, how models and pricing take account of it, what data exist and who decides.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Dossier<\/strong><\/span><span class=\"nx-eyebrow\">A-P02 \u00b7 topic<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">In brief<\/span><span class=\"nx-register-v\">Definition and scope<\/span><\/a><\/li><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">4 mechanisms<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Key terms<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">H3 field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">6<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Pipeline<\/span><span class=\"nx-register-v\">Run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">6<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">08<\/span><span class=\"nx-register-k\">Decision holders<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">09<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">5<\/span><\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GRA \u00b7 In development \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>Exposure, hazard and the exceedance\u2026<\/a><a href=\"#nx-sec-question\"><span>03<\/span>Climate and natcat: how the risk\u2026<\/a><a href=\"#nx-sec-terms\"><span>04<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>05<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>06<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>07<\/span>Where the evidence comes from<\/a><a href=\"#nx-sec-decisions\"><span>08<\/span>Who decides, and what the evidence\u2026<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"finance\" data-variant=\"stack\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Climate change and natural catastrophe risk describes how warming alters the frequency, intensity and location of perils such as floods, heat, cyclones and wildfire, alongside exposure growth in hazardous areas. Models increasingly condition hazard on current climate. Modellers, supervisors, planners and pool boards hold the decisions.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Spatial finance<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Exposure, hazard and the exceedance curve.<\/h2><p class=\"nx-lede\">Which places drive loss in a severe year, and how far it reaches into reinsurance. Illustrative design values.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><figure class=\"nx-fk nx-sf\" data-fk=\"cat-ep\" data-gl=\"sf:cat-ep\" data-sf=\"cat-ep\" data-sx-credit=\"Natural Earth (public domain) | design event set, not a model output\" data-sx-src=\"Natural Earth ~ public domain ~ https:\/\/www.naturalearthdata.com\/ | Design scenario values by the Global Risks Alliance ~ illustrative, not data\" data-sf-learn-views=\"ep\" aria-label=\"Interactive map: coastal exposure under cyclone basins and earthquake belts, linked to a loss exceedance curve. Choosing a return period on the curve marks the places that lose at it.\" 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\"><figcaption class=\"nx-fk-cap\"><span>Coastal exposure under cyclone and earthquake zones, beside the loss curve it produces.<\/span><span data-honesty=\"true\">Illustrative design values, not a model output or a price.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gra\/A-P02\/topics\/climate-and-natcat\/#map\" data-nxf-title=\"Reinsurance and Catastrophe live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"systemic\" data-variant=\"split\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The question<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Climate and natcat: how the risk develops.<\/h2><p class=\"nx-lede\">Changing physical hazards and nonstationarity. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M12 2v2\"\/><path d=\"m4.93 4.93 1.41 1.41\"\/><path d=\"M20 12h2\"\/><path d=\"m19.07 4.93-1.41 1.41\"\/><path d=\"M15.947 12.65a4 4 0 0 0-5.925-4.128\"\/><path d=\"M3 20a5 5 0 1 1 8.9-4H13a3 3 0 0 1 2 5.24\"\/><path d=\"M11 20v2\"\/><path d=\"M7 19v2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Hazard statistics shift<\/h3><p class=\"nx-p nx-mt-1\">Warming raises the probability of heavy rainfall and heat extremes and changes cyclone intensity. Models calibrated on past climate can understate current risk.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M6 22V4a2 2 0 0 1 2-2h8a2 2 0 0 1 2 2v18Z\"\/><path d=\"M6 12H4a2 2 0 0 0-2 2v6a2 2 0 0 0 2 2h2\"\/><path d=\"M18 9h2a2 2 0 0 1 2 2v9a2 2 0 0 1-2 2h-2\"\/><path d=\"M10 6h4\"\/><path d=\"M10 10h4\"\/><path d=\"M10 14h4\"\/><path d=\"M10 18h4\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Exposure grows in hazard zones<\/h3><p class=\"nx-p nx-mt-1\">Population and asset growth in coastal and wildland areas raises losses even with no change in hazard. Separating exposure and climate effects is difficult.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M22 12h-2.48a2 2 0 0 0-1.93 1.46l-2.35 8.36a.25.25 0 0 1-.48 0L9.24 2.18a.25.25 0 0 0-.48 0l-2.35 8.36A2 2 0 0 1 4.49 12H2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Secondary perils gain weight<\/h3><p class=\"nx-p nx-mt-1\">Floods, severe convective storms and wildfire cause a rising share of insured losses and are less well modelled than primary perils.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><path d=\"m4.93 4.93 4.24 4.24\"\/><path d=\"m14.83 9.17 4.24-4.24\"\/><path d=\"m14.83 14.83 4.24 4.24\"\/><path d=\"m9.17 14.83-4.24 4.24\"\/><circle cx=\"12\" cy=\"12\" r=\"4\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Insurability comes under strain<\/h3><p class=\"nx-p nx-mt-1\">Rising losses push premiums up and capacity out of some areas. Without risk reduction, insurability declines and protection gaps widen.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Secondary peril<\/td><td data-label=\"Definition\">A peril such as flood, hail or wildfire that is smaller per event than primary perils but frequent and rising in loss.<\/td><\/tr><tr><td data-label=\"Term\">Loss normalisation<\/td><td data-label=\"Definition\">Adjusting past losses to current exposure and prices so events can be compared over time.<\/td><\/tr><tr><td data-label=\"Term\">Climate-conditioned catalogue<\/td><td data-label=\"Definition\">A stochastic event set adjusted to current or projected climate rather than historical averages.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"climate\" data-variant=\"stack\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Indicators<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Normalised insured catastrophe losses<\/td><td data-label=\"Unit\">currency per year, adjusted for exposure<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Loss normalisation studies<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Change in modelled average annual loss under climate scenarios<\/td><td data-label=\"Unit\">percent<\/td><td data-label=\"Cadence\">per study<\/td><td data-label=\"Source type\">Climate-conditioned models<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Frequency of heavy precipitation events<\/td><td data-label=\"Unit\">events per year<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Meteorological records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Secondary peril share of insured losses<\/td><td data-label=\"Unit\">percent<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Industry loss records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Non-renewals in high-hazard areas<\/td><td data-label=\"Unit\">count of policies<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Regulator data<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Population in high-hazard zones<\/td><td data-label=\"Unit\">persons<\/td><td data-label=\"Cadence\">periodic<\/td><td data-label=\"Source type\">Hazard maps and census<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gra\/A-P02\/topics\/climate-and-natcat\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Climate and natcat as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-a-p02-topics-climate-and-natcat-catmodel-t nx-dag-a-p02-topics-climate-and-natcat-catmodel-d\" data-nx-z=\"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\"><title id=\"nx-dag-a-p02-topics-climate-and-natcat-catmodel-t\">Climate and natcat: catastrophe model pipeline<\/title><desc id=\"nx-dag-a-p02-topics-climate-and-natcat-catmodel-d\">A stochastic event catalogue drives the hazard module; exposure and vulnerability turn intensity into damage; the financial module applies policy terms; event and year loss tables give exceedance curves, PML and TVaR. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"finance\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">IPCC Sixth Assessment Report, Working Group I chapter on weather and climate extremes<\/td><td data-label=\"What it gives\">Assessed changes in extremes and confidence levels<\/td><td data-label=\"Licence class\">Free, IPCC terms<\/td><\/tr><tr><td data-label=\"Source\">World Weather Attribution studies<\/td><td data-label=\"What it gives\">Rapid attribution of extreme events<\/td><td data-label=\"Licence class\">Free to read, terms to check<\/td><\/tr><tr><td data-label=\"Source\">NGFS climate scenarios<\/td><td data-label=\"What it gives\">Reference scenarios including physical risk<\/td><td data-label=\"Licence class\">Free, NGFS terms<\/td><\/tr><tr><td data-label=\"Source\">ERA5 reanalysis<\/td><td data-label=\"What it gives\">Historical hazard climatology<\/td><td data-label=\"Licence class\">Free and open, Copernicus licence<\/td><\/tr><tr><td data-label=\"Source\">CMIP6 climate projections<\/td><td data-label=\"What it gives\">Future climate scenarios<\/td><td data-label=\"Licence class\">Free, terms per modelling centre<\/td><\/tr><tr><td data-label=\"Source\">United States Treasury Federal Insurance Office and state regulator non-renewal data<\/td><td data-label=\"What it gives\">Availability and price of homeowners insurance<\/td><td data-label=\"Licence class\">Public domain or public records<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gra\/A-P02\/topics\/climate-and-natcat\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Reinsurance and Catastrophe prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Catastrophe modelling teams<\/td><td data-label=\"The question\">Whether and how to condition hazard on current or future climate<\/td><td data-label=\"Evidence this page serves\">Climate science, observed trends and model comparisons<\/td><\/tr><tr><td data-label=\"Who decides\">Insurance supervisors<\/td><td data-label=\"The question\">Whether climate is reflected in ORSA and capital<\/td><td data-label=\"Evidence this page serves\">Supervisory climate scenarios and guidance<\/td><\/tr><tr><td data-label=\"Who decides\">Land-use and building authorities<\/td><td data-label=\"The question\">Where to build and to what standard<\/td><td data-label=\"Evidence this page serves\">Hazard projections and loss evidence<\/td><\/tr><tr><td data-label=\"Who decides\">Public pool and government reinsurer boards<\/td><td data-label=\"The question\">How to price and fund rising risk<\/td><td data-label=\"Evidence this page serves\">Climate-conditioned loss evidence<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Guide to climate-conditioned catastrophe catalogues<\/li><li>Brief on separating exposure growth from climate change in loss trends<\/li><li>Method note on secondary peril modelling<\/li><li>Questions for boards on climate in the view of risk<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"systemic\" data-variant=\"split\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">What experts ask about climate and catastrophe risk.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Which perils are changing in frequency or intensity, and with what confidence?<\/li><li>How should models calibrated on historical data be adjusted for the current climate?<\/li><li>How much of the trend in losses reflects hazard change versus exposure growth?<\/li><li>How do natural climate variability and long-term trends interact?<\/li><li>How can forward-looking scenarios be used in risk assessment?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms-and-drivers\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms and drivers<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">How climate change affects catastrophe risk.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Climate science, synthesised in international assessments, has established with high confidence that heat extremes have become more frequent and intense, and that heavy precipitation has increased in many regions. Sea-level rise increases coastal flood risk. For some perils, such as tropical cyclone frequency, trends are less certain, while evidence points to an increasing proportion of intense storms.<\/p><p class=\"nx-p\">Natural variability, such as El Ni\u00f1o and La Ni\u00f1a, also affects hazard frequency year to year and can mask or amplify trends. Distinguishing signals from noise requires long records and physical understanding.<\/p><p class=\"nx-p\">Losses have risen over time largely because of growth in exposed value, but hazard changes contribute for some perils. Models calibrated on long historical records may underestimate current risk where hazards have changed.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"climate\" data-variant=\"stack\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and data<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Methods and their limits.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">Trend detection<\/h3><p class=\"nx-p nx-mt-1\">Statistical analysis of hazard records, using <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/extreme-value\/\">extreme value theory<\/a> with nonstationary parameters. Short records limit power.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Event attribution<\/h3><p class=\"nx-p nx-mt-1\">Estimating how climate change affected specific events, using <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/climate-science\/\">climate science<\/a>. Methods are evolving.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Climate-conditioned event sets<\/h3><p class=\"nx-p nx-mt-1\">Adjusting event frequencies for the current or future climate. Adjustments carry large uncertainty.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Scenario analysis<\/h3><p class=\"nx-p nx-mt-1\">Testing portfolios under climate scenarios. Scenarios are not forecasts.<\/p><\/div><\/li><\/ol><p class=\"nx-note nx-mt-3\">Projections of hazard change carry uncertainty that grows with time horizon and is larger for some perils than others.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"systemic\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/stem\/climate-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Climate and atmospheric science<\/span><span class=\"nx-mledger-role\">Conditioning event frequencies \u00b7 Scenario stress for capital \u00b7 Reading attribution studies<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/climate-science\/\" aria-label=\"Climate and atmospheric science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/stem\/extreme-value\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Extreme value theory and tail risk<\/span><span class=\"nx-mledger-role\">Pricing high excess layers \u00b7 Hazard return levels \u00b7 Tail dependence between perils<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/extreme-value\/\" aria-label=\"Extreme value theory and tail risk: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/stem\/hydrology\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Hydrology and water science<\/span><span class=\"nx-mledger-role\">River flood event sets \u00b7 Flood defence assumptions \u00b7 Pluvial flood mapping<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/hydrology\/\" aria-label=\"Hydrology and water science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/stem\/ocean-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Ocean and coastal science<\/span><span class=\"nx-mledger-role\">Storm surge modelling \u00b7 Sea level rise scenarios \u00b7 Ocean heat and cyclone intensity<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/ocean-science\/\" aria-label=\"Ocean and coastal science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/stem\/uncertainty-quantification\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">05<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Uncertainty quantification and model validation<\/span><span class=\"nx-mledger-role\">Primary and secondary uncertainty \u00b7 Sensitivity ranking \u00b7 Multi-model ensembles<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/uncertainty-quantification\/\" aria-label=\"Uncertainty quantification and model validation: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Attribution of loss trends to climate is confounded by exposure growth and reporting changes. Climate projections at local scale carry wide uncertainty. Models conditioned on climate depend on choices that differ between providers. Reinsurance and Catastrophe explains methods and evidence; it does not forecast losses or advise on pricing.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-14-sec\" class=\"nx-section\" data-hue=\"finance\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Is climate change raising insured catastrophe losses?<\/summary><div class=\"nx-answer\">Losses have risen mostly with exposure growth; the IPCC finds that some extremes, such as heavy rainfall and heat, have become more frequent or intense. Separating the two needs careful normalisation.<\/div><\/details><details><summary>What is a climate-conditioned catalogue?<\/summary><div class=\"nx-answer\">A stochastic event set adjusted to represent current or projected climate rather than the historical average.<\/div><\/details><details><summary>What are secondary perils?<\/summary><div class=\"nx-answer\">Perils such as floods, hail, severe convective storms and wildfire, usually smaller per event than primary perils but frequent and rising in insured loss.<\/div><\/details><details><summary>Has climate change increased catastrophe losses?<\/summary><div class=\"nx-answer\">Losses have risen mainly because of exposure growth, but hazard change contributes for some perils, notably heat, heavy rainfall and coastal flooding.<\/div><\/details><details><summary>What is nonstationarity?<\/summary><div class=\"nx-answer\">The property that the statistics of a hazard change over time, so historical averages may not represent current risk.<\/div><\/details><details><summary>Does the platform produce climate projections?<\/summary><div class=\"nx-answer\">No. Climate science comes from GCRI and international assessments. The platform studies how it is used in catastrophe models.<\/div><\/details><details><summary>Are wildfires covered?<\/summary><div class=\"nx-answer\">Yes, as a peril where climate, land use and development interact.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-15\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-15\" class=\"nx-h3 nx-mt-2\">Around Reinsurance and Catastrophe.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/topics\/reinsurance-structures\/\">Reinsurance structures <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/topics\/catastrophe-models\/\">Catastrophe models <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/topics\/aggregate-accumulation\/\">Aggregate accumulation <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/topics\/protection-gaps\/\">Protection gaps <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/topics\/retrocession-and-capital\/\">Retrocession and capital <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/topics\/model-validation\/\">Model validation <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/\">Reinsurance and Catastrophe home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/\">The Global Risks Alliance home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/trust\/\">GRA governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Reinsurance and Catastrophe<\/span><h2 id=\"nx-close-16\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@globalriskalliance.com?subject=Reinsurance%20and%20Catastrophe%3A%20Climate%20and%20natcat\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/topics\/climate-and-natcat\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/topics\/climate-and-natcat\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Is climate change raising insured catastrophe losses?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Losses have risen mostly with exposure growth; the IPCC finds that some extremes, such as heavy rainfall and heat, have become more frequent or intense. 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