Return-Path: Delivered-To: operation@sej-global.com Received: from ls277.radcom.hosting by ls277.radcom.hosting with LMTP id xr1GH37ZFGZ1cQAAQUtCww (envelope-from ) for ; Tue, 09 Apr 2024 09:30:30 +0330 Return-path: Envelope-to: operation@sej-global.com Delivery-date: Tue, 09 Apr 2024 09:30:30 +0330 Received: from wlink00-2019.wlnet.com ([198.44.196.49]:58855 helo=wlink00.wlnet.com) by ls277.radcom.hosting with esmtps (TLS1.2) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.96.2) (envelope-from ) id 1ru4Wv-0007Y4-2F for operation@sej-global.com; Tue, 09 Apr 2024 09:30:30 +0330 X-MDAV-Result: clean X-MDAV-Processed: wlink00.wlnet.com, Tue, 09 Apr 2024 02:00:22 -0400 X-Spam-Processed: wlink00.wlnet.com, Tue, 09 Apr 2024 02:00:22 -0400 X-Spam-Checker-Version: SpamAssassin 4.0.0 (2022-12-14) on Wlink00.wlc.com X-Spam-Level: ** Received: from [()] by () (MDaemon PRO v23.5.3) id md50910004518.msg; Tue, 09 Apr 2024 02:00:21 -0400 X-MDRemoteIP: X-MDHelo: X-MDArrival-Date: Tue, 09 Apr 2024 02:00:21 -0400 X-Return-Path: master@hecate.shipmail.net X-Envelope-From: master@hecate.shipmail.net X-MDaemon-Deliver-To: operation@sej-global.com From: "Master Hecate" To: "'Ops2 tankerchart'" Cc: "'Chartering tankerchart'" , "'Chartering1 tankerchart'" , "'Karthik tankerchart'" , "'Opsmgmt tankerchart'" , "'Postfixture tankerchart'" , , , , References: Subject: HECATE ====== NOON REPORT // VOY 02-2024 / 09-APR-2024 Date: Tue, 09 Apr 2024 01:59:19 -0400 Message-ID: <003701da8a43$0fde4dc0$2f9ae940$@hecate.shipmail.net> X-Receivers: Node=MA32,chartering@tankerchart.com,chartering1@tankerchart.com,chartering3@tankerchart.com,info@sejglobal.net,karthik@tankerchart.com,operation@sej-global.com,operation@sejglobal.net,ops2@tankerchart.com,opsmgmt@tankerchart.com, postfixture@tankerchart.com Content-Type: multipart/mixed; boundary="----=_NextPart_000_00DC_084E6794.0F9D1BEA" X-Spam-Status: No, score=2.8 X-Spam-Score: 28 X-Spam-Bar: ++ X-Ham-Report: Spam detection software, running on the system "ls277.radcom.hosting", has NOT identified this incoming email as spam. The original message has been attached to this so you can view it or label similar future email. If you have any questions, see root\@localhost for details. Content preview: Dear Sir; Good Day Kindly find attached Noon Report 09-Apr-2024. Best Regards, Content analysis details: (2.8 points, 4.0 required) pts rule name description ---- ---------------------- -------------------------------------------------- 1.7 DEAR_SOMETHING BODY: Contains 'Dear (something)' 0.5 SUBJ_ALL_CAPS Subject is all capitals -0.0 SPF_PASS SPF: sender matches SPF record 0.0 KAM_DMARC_STATUS Test Rule for DKIM or SPF Failure with Strict Alignment 0.1 MIME_HEADER_CTYPE_ONLY 'Content-Type' found without required MIME headers 0.5 KAM_NUMSUBJECT Subject ends in numbers excluding current years X-Spam-Flag: NO X-From-Rewrite: unmodified, no actual sender determined from check mail permissions This is a multi-part message in MIME format. ------=_NextPart_000_00DC_084E6794.0F9D1BEA Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: 7bit Dear Sir; Good Day Kindly find attached Noon Report 09-Apr-2024. Best Regards, Master MT HECATE VSAT: +12027739461 IRIDIUM: +881677107372 Note: Ship's email system is not online , Please follow-up with phone call for urgent matters. ------=_NextPart_000_00DC_084E6794.0F9D1BEA Content-Type: application/octet-stream; name="CHARTERER NOON REPORT 09.04.2024.xlsx" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="CHARTERER NOON REPORT 09.04.2024.xlsx" UEsDBBQABgAIAAAAIQDhhSeZsQEAAJkIAAATAAgCW0NvbnRlbnRfVHlwZXNdLnhtbCCiBAIooAAC AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADE Vktv2zAMvg/ofzB0HWKlXTEMQ5we2vW4FWgH7KpKTCxEL4hMl/z70kobDEOazLCxXmzYEr8HSZme XW28q54go42hEef1VFQQdDQ2LBvx8+F28kVUSCoY5WKARmwBxdX87MPsYZsAK44O2IiWKH2VEnUL XmEdEwReWcTsFfFjXsqk9EotQV5Mp5+ljoEg0IQ6DDGf3cBCrR1V3zb8eqfk0QZRXe/2dVSNUCk5 qxWxUPkUzF8kk7hYWA0m6rVn6BpTBmWwBSDv6pQtM+Z7IGJjKORBzgwO+5G+uKo5sgjD1ib8yNbf YOhW3nb1EveDy5GtgepOZfquPHuXGyd/x7x6jHFVHwfpm5qSotorG151H+Evm1GW2/nIQjp/Bbin jot30kHc6yDLdXgqCswJ40hbBzh2+QvoKeZWZTD3xKdoObqAP7FP6NDK6euWW3XkJOxxj/HrNVL0 v7yTlsDf5ZhweN33oB0eZLKw/3wcOoYHNAxv/+EaPg2ux3ANl/9bA4+a0gQ8zTL0J38dHV30JP1T 9feMPAoHu4Vu1howfbl3lRop2QfIZfmxmD8DAAD//wMAUEsDBBQABgAIAAAAIQATXr5lAgEAAN8C AAALAAgCX3JlbHMvLnJlbHMgogQCKKAAAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAArJJNSwMxEIbvgv8hzL072yoi0mwvRehNZP0BMZn9YDeZ kKS6/fdGQXShth56nK93nnmZ9Wayo3ijEHt2EpZFCYKcZtO7VsJL/bi4BxGTckaN7EjCgSJsquur 9TONKuWh2PU+iqziooQuJf+AGHVHVsWCPblcaThYlXIYWvRKD6olXJXlHYbfGlDNNMXOSAg7cwOi Pvi8+bw2N02vact6b8mlIyuQpkTOkFn4kNlC6vM1olahpSTBsH7K6YjK+yJjAx4nWv2f6O9r0VJS RiWFmgOd5vnsOAW0vKRFcxN/3JlGfOcwvDIPp1huL8mi9zGxPWPOV883Es7esvoAAAD//wMAUEsD BBQABgAIAAAAIQACNOnzzQIAAEUGAAAPAAAAeGwvd29ya2Jvb2sueG1srFXfb5swEH6ftP+Bec8U TIAEFFK1JdEidVXVde1j5WInWAEbGSchqvq/90xCfqx7qLqhxI59+LvvvjtfhudNWVgrpmouRYLw mYssJjJJuZgn6Pf9xB4gq9ZEUFJIwRK0YTU6H339MlxLtXiWcmEBgKgTlGtdxY5TZzkrSX0mKybA MpOqJBqWau7UlWKE1jljuiwcz3VDpyRcoC1CrD6CIWcznrFUZsuSCb0FUawgGujXOa/qDq3MPgJX ErVYVnYmywognnnB9aYFRVaZxdO5kIo8FxB2gwOrUfAJ4YtdGLzOE5jeuSp5pmQtZ/oMoJ0t6Xfx Y9fB+ESC5r0GH0PyHcVW3ORwz0qFn2QV7rHCAxh2/xkNQ2m1tRKDeJ9EC/bcPDQaznjBHrala5Gq uiGlyVSBrILUeky5ZjRBfVjKNTtsQFRqWV0ueQFWr+d7IXJG+3K+VRbAaqZuFV+RbAN3wpgbFXcK 32plwe9peg1efpEV+ITI6K4kpwCKe08iUzF+eun1oklw4UW2dxWltp/2Q/sCD7Cd4qt+5IY9nI69 V5BFhXEmyVLnu3AMdIL84C+mn6QBC0Rl6jBecnqg8eLuHtvMfwyd7dWEYy7uA2fr+hC4WVrNIxdU rhNkYw+C2pwu163xkVOdg3KR68Mr270fjM9zYIyDgdmEBBtmCTphlG4ZTeCxzXDCyDmi1LYIoNbO lmjTeiOlsO5YJZWGhmR6SKs05DI2jtSUtnk6PsJL87ZFiSZHR+DeQj/TkLWcU8rgwuwRPCON03mn bMYFo6aqgMvRascIcBkafb8bT74NnSMzQJwezUiRQVmZqeUcYdeLjCvW6Otat7O1VBzkwr570Xcj 33bHvcD2B5FnD/yeZ1/5qTcO+uN0fBmYejEtN/4fjQcqGwdx18sNy5wofa9ItoB/gDs2uyQ1SNVq 6wBfCK5j7XSnRm8AAAD//wMAUEsDBBQABgAIAAAAIQB9XsnuOAEAAAUGAAAaAAgBeGwvX3JlbHMv d29ya2Jvb2sueG1sLnJlbHMgogQBKKAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC8lM1q wzAQhO+FvoPRvZbtpOkPsXNoKeTaptCrkNeWiSUZ7aat377CkLiBoFyML4JdodmPkTTrza9uo29w 2FiTszROWARG2rIxdc4+d293jyxCEqYUrTWQsx6QbYrbm/U7tIL8IVRNh5FXMZgzRdQ9c45SgRYY 2w6M36ms04J86WreCbkXNfAsSVbc/ddgxZlmtC1z5raln7/rOz/5uratqkbCq5UHDYYujODygGT1 l269qHA1UM7ieOzyhkBnsUdm/DLNYkoa8i7BSDKUfFjTEMPD3I4EabIpaX6s26MCoNGVUwv5sBO8 nnRmmKAzq0nvSbTyRYnGjM7IYyv0WO6nhEAlHJQf5Hw64Ahy1g7BpD5d5v3MyxDOclJvqG99Np5y BYc6NP5pbjMWRxp+Ft7FHwAAAP//AwBQSwMEFAAGAAgAAAAhAGp/AYP1CQAAaTEAABgAAAB4bC93 b3Jrc2hlZXRzL3NoZWV0MS54bWzEW2tvm0wW/r7S/geWT63U2gwY3xT7Ve02byMl3arp5TPB4xgF G7+A42RX+9/3OTPDbcAtqcxuFAcbjg/znMs8Z4aTiz+etqHxyOMkiHYzk/Us0+A7P1oFu/uZ+e3r 5duxaSSpt1t5YbTjM/OZJ+Yf87//7eIYxQ/JhvPUgIZdMjM3abqf9vuJv+FbL+lFe77DlXUUb70U H+P7frKPubcSX9qGfduyhv2tF+xMqWEat9ERrdeBz99H/mHLd6lUEvPQSzH+ZBPsk0zb1m+jbuvF D4f9Wz/a7qHiLgiD9FkoNY2tP72630WxdxcC9xMbeL7xFOPXxsvJbiPO1+60Dfw4SqJ12oPmvhxz Hf6kP+l7fq6pjr+VGjbox/wxIAcWquzfGxJzc112ocz5TWXDXBmZK54egtXM/Lelft7iyOiPVfzJ rv3HnF+sAniYUBkxX8/Md2x6OXDM/vxCBND3gB+T0nsj2UTHP+NgdR3sOKIRcZx6d7c85H7KcVuG z9H+mq/TJQ9DqLMxJorhuyh6IGVXELJw20R8hW7r+WnwyKX4n/YEefCXGAm9xzD6+TjK77MxXYq4 /xwbK772DmG6jMIfwSrdzMxJjw2soe2a2aUv0fEjD+43KUaJsyKipqvn9zzxEeIYVQ/CuKEfhdCO v8Y2oFxFiHpP4niUmgdWzx1ZDiPdSfpMYctgB/+QpNFW3Z0pTVIHnCx04Kh0OJOePXaZKwaYKfmp DthR6CB7qnGw3ohZE2eEcdzxJL0MCNpPlQyUEhyVEsYKMC2V4HZiJDgWSsauOxiOaSh1O/SlSYUj 33upN7+Io6OBPMRgk71HsxqbDk1DuqZHSpq9A7fQ197R92amgzkTiBNE0+OcuRf9R0SIr2QWSkbG EO6X3xRO0G9qWz2W5YQ45lbMI+ZXQyKtgEHxnw9JG5EUoajJRcbaqJdKBk7OZVyW6+mXcUCmAxyk FTgwjgLHUAMiZWwEUQFkXJVZKpk2QKCnAyCkVXOIreFQIkMRQAPXmRSWFnG2lAI0heVAh4Nmb9Bc oIXyGaKKtGresDQQUsQelZ2hOWypZMo4RkXkVaIKadgBDtKqOcPRcCiRMo6JJrOUMlV/jJr9AT0d 4CCtmj+KeBAxs1Ai5blposkspUwVR5FAFX9QXXj+uCKtmj/0+VOKVGariRZ7SyXTJsmJ18+Pg7QC R3kAtp4gSqbI8kFvZI0d9aOnipSuuqYIw4priPQ7wCTUas7RZ+BMZiS5T5vYlupyBYVbCFVRNJDw GWYuYkI9VYpUlamiZCpz10RnxEyoMnkV9qhi6YbbiQ31dNH4bpHJSI+M9ShcquvtXNINtVOa6C6Z 6FWTkhmLwNJJXWloB6IbWmcNvM70lM+ERqIKp5JxqU61G3o3ZE6rjlptpZUcCyXkMOEAV59x1eV2 MLrhctZA5qyW2kpoImDU5xOtWlQ6T8ES08WlEnKEV6t5X2Z7RDAtJM4xhzXQPaslvhJqi7SB+09O zWXyPyOsBvZntYlACbWF1VQKnGKcci1wRliK6CtLF73kZ0pIzm9DvcBUl1ull12m//PBEGr12kz3 jhKyy8vN2uolE6osX06U/aQpr2XOCEZVAeWloqtnkLg3EEuf6LWyutrOJWX+PyMKxf/llftIjyxb Ld0rLtGry0yolUvKVcAZwTRUAUOdQMnaRFXSJfqyWF1t55JyGXBGFA1lwLCWJUqosqasgZFCDgir WOSfypJyYXBGMKowKGfJUC8MxG4j0ZpgVKungV1m18uhdYpY7HJlcEYcivQreVJzihRyXFkZ2E4t 4RtW+SeBdEP8tCKh8K/scNVyRAo5tiyVe7WtvBcwvd0N0wu1wFFxSA2HpG7lENfSF5NKSbts74ba xVMBzR+jWoJIanccmSBahalUtELhdMPsQq3mjbGOQgkhQ2lXWy//s6ttkhxLiC4oXajVc0MnQyXk DJpRyKqgnS+6oXRkrcjwcmYMayhySidfuBOnthxTatoh6YbPEe+1VeWwtmMvhdSq0nbwkEPfr5cS 7ZB0w+mIlppPxjp9KCFUhcInwzqQhk37U/SBOa+TFGngc6bvd4t74yGWBOLU9lbV9XYO6YbPqSYi GiwniV1LEkXXEoe+FbNUOtrB6IbNsWFQY3O75g7F5hJGLTtewOX0WLKDpZRQq3N5DYVahpeL2bG2 N7NUmqouOfWQsRtCd9QyvFxgjfQnKUoIayZKdXvI7NoSNxNpw4eDblhdqJ2ZdMjXD7bO6pmQbAsQ G5LqVCsvDBqonFmueFIuH7e3fk4tVGG45V2SSe3BqCRo2QdS2Wmj7+nB7SI5Wo4C7RXq0T901xSx SQ9TTXtVsjVEdhSI5oLPcZSiEYW6SmR/yXXkP/AV9ZbQPEa7wVse34tmk8TwowP1fVC9mJ/Nm2DQ P1CWVucH1nQBxzVdYbgivtMvbkFtJLtVQAPyQtmqkqLjK+twWdAayF9/OYTcSJ/36CPhT+jdSmSP 0eppTc0ycMU+DqIYHVP0YX5BrV6H0Jt/+ufXV1e3n77dLD58efX93fW3D68W7uvXry/6mQS6IYRy aotoGsevhodHL78eH+K+GB+l6s/Gx9gLB7hCu8h3LwxwpM4z4+lHsFtFRwTwAFPdc/bJmWBCUf6k Hcvq15RxwyBJTcMLw+i4CL3dg7At9TNd7faH9AZ29+6plweBiZMf4jiKyyc5nfgapNTvIy6ihY9O zczPIfcSrkLOWMfR1ngfR/v30XFnXIubqpamhT0wFraNF6zW2Kll/6RTSxmWzc1Pbz68uX3z480n HPCLNz/M3O0M7q7iP2EPCHHTQANh7KUE4x5tgymPv248dLidxUxITW7IuNeNhZYrjq4tuNfwEjpy Q/Ywwvqy/2sBcmhnI9W7Q91suY0wA+fvW9oj5U/pNd/dp5uyVfhfBy/sMmyqlkjRjlezBD0DbWcK dHvST8UU4NWXmqL70GjMoIagQEus0WgTJHw7k9BiRzfJb0THivvBliLhHDPGDXoF0bNneMbusL1D Itzx9Mj5zrAMAjzBeIs8sIfTBS2o28EdNMBFOVtEgHpnz+ku+QX717PGb08Je8yIezCtmierXuZP 3nYPAtSzH6BRV7TD7GaYQcyNU3/uvO5mf4kqc2jhPWZhunfxcvBiBhoFpgs2MRYOjrQyaYcQ69xa EL8t9Sw2Orjc0/gSR8ta5H9us38URqO6vp1hRq3DXQXJyw3xf+UFMfcFOyPdcOPjx5sblSclW6Fk bmeq8Yu5Qasj0Ba9R4l048X3AWqxEF3e1DaNII5lX7V4j/5vcRbjuotStERnnzb4rwSOOsPqofZf RyjV1QdkLem95elhb+w9FCS3wb9QZSEIUPcisUTxNzP3UZzGXoAiLp5Sj3t8tZIVd/5PEvP/AgAA //8DAFBLAwQUAAYACAAAACEA1S7ubAQHAADiGwAAGAAAAHhsL3dvcmtzaGVldHMvc2hlZXQyLnht bKRZ23KbSBB936r9h1le8rIWzAC6laUUsexYSWwnvuXyhtHIooKEAsh2srX/vj1AI9SaEJxVJWKM uk9Pd5/uGYbDl0/LiD3IJA3j1cjgHctgchXEs3B1PzJurk8O+gZLM38186N4JUfGd5kaL8d//nH4 GCdf04WUGQOEVToyFlm2HppmGizk0k878Vqu4Jd5nCz9DP5M7s10nUh/listI1NYVtdc+uHKKBCG SRuMeD4PAzmJg81SrrICJJGRn8H800W4ThFtGbSBW/rJ1836IIiXa4C4C6Mw+56DGmwZDKf3qzjx 7yLw+4k7fsCeEvgn4L+NZvL7e5aWYZDEaTzPOoBsFnPed39gDkw/qJD2/W8Fwx0zkQ+hSuAWSvze lLhbYYktmP2bYN0KTIUrGW7C2cj4xyo/B3Dl6ss6sLj6qn3+NcaHsxAyrLxiiZyPDI8PvTNhmOPD nEC3oXxMa2OWxet3cp4dySgaGV+4wRRB7+L4q5KcgmELMFMZyUBRhflweZCFtDcFZ9NvhRkYgw2z MlIfo8GTnNTvEzaTc38TZUdx9DGcZYuRMehwx+oK18CfLuPHUxneLzIoLrib02U4+z6RaQD8hVl1 QBgMBnEE6PDNlqEqROCf/5RfHwtkLjqi73I3B7+TaXYSKkyDBZs0i5elfV5iFSjgVo4CV0RxOn3X dbr9HkymJQokL0eBK6L0aygN9p1SE66oaXfcnmVzFaGW5kEyNw/XEgRaUkvdbqkL11J3m6CWEL0S Aq7og1sluSUGTDh3Aa4lhuhWGA3xG5R6cK3i19p3Dq284BAM0Cxvlzhe8U8VUknA/rNTx5GAarBl oCPcXv85FOBIQTVAHAhKy/Bz5KEaVOqdHrcGtqqDhgyomi2CuKUfd1sGEdnHt/TjTmfrfZNdpB2v 8c5pN2VkG9/SDcw+u3lwZJ8alFGzre0U2vYgpKGo0dB9NpUEMlINkM3285uZqHpijZLWb+AgJUWN kuK5jUEgM9Xg/3iFNFV9VYfTtEggTUWNpnWKt000UlbUKFvvN21xkL+ixl+3xt8mX5CzotYygXdt Vzrkqr3lKlT7tnQaTNsYRjXAJsNbl51ZbADybcfEz/zxYRI/MtgSAt3Tta822Hxog1f6HQRsHZSw p6RHBlAb9gYpbHgexsI5NB9gExOUIq80Iu6uyJFGZFdisi9h7UocazC6uyInGpHershrjUh/V+RU IzLYFZnui9hkum80InwX5a1GROyKvNOI2LsiZxoRkqFzjQjJ0IVGhET3vUaERPeDRoRE91IjQqJ7 tS/ikOhea0RIdG80IiS6txoRMpeP+yIumcsnDQrJ0WeNCMmResAgheaQ0HmaYnRIBjxNNTokkZ6m HB3CB09TkJxM2dOUpEs89zQ16VIcTVG6dD5lVUK/qhqRS30vy3JHhvqOdQlLQQXUo0BYmTtCNBua 2uxT7zXF2d96b0JHrtqyemKst2XVn3EnWTwe5jeK576O2mU2N26FNzJgL6HczBJo3fPxi/MYnlQv 5TpOshd/vYJymKuOfnbNTo+PvOtj0thbQIDDCkIduAxh+gEcbMCZTCqTB2mMLWEKh5GloAB1dfOB yOTzcVx7QKp5UqjBSvhzd4AyuTqHgyCydrTwBIiSawubOXbHsdk5WVxaYACPyhnYzBKQJEZC+roF CPAsB5lcnL9+M/XeXtywv9nR6fTcI+tUgdXTRRK6WBVJ2ORbfbv8kHLIzykUSzTs4BDE0ptdw28K w2Vx6KnFIX+5ssXpyvgWY6CziZTsC5LCd01aJQvHpEThdKeoAZ0lJBuxc96kgwyjS8BFoeRow1gR y+rAqVTtQyj+vgkEmSV+AfKhCQSZ9SuQy6YYILW6pNddtaC2SmrOinNSF9dtlJEbpDBv2uhitqnh 24Z4iSpzwiZL1scmNcwVHG/sFs6nJi1MjmuRXcrnJi3MBmHxl4YM2hhHd2BTIntekyLS3x4Qc96r JjUMo2oo9QcH76hJC6NIlcqVoGlh85yy++iXpVuZwrEtmyThPIO3EuxiPmfXfvjor6DReo9+mN+d rmDV3ORnuyl73oe4eVy4OdAuwdgn6Z7opEkJ+x3pIF65vOgtYfasDtnjeqcNtmy0JWxoXcSzcvnQ 2lMlk9e6293TK1cQ9Uz98+Xcxoo4SjYzyS7CiFjHhUSdw+/tbWysDNHlgu4mPFxN9KrYpai7uJ7o taoVr5pmsb8rTv6LR/C1fy/P/OQ+XKUsgpcL6rgeDjeS4jw/H8Nrh/yuOs+OMziIx78W8KpLwiO5 1QHuz+M4wz/gsF/hXslss2Zrfy2Tq/AHbMQgunESwkuB/F0WbMxg15cAuw22gPs/YvghmqxDEITD CXhjl4VB7UYyVC9XkuksfwNgVm/nxv8BAAD//wMAUEsDBBQABgAIAAAAIQB1PplpkwYAAIwaAAAT AAAAeGwvdGhlbWUvdGhlbWUxLnhtbOxZW4vbRhR+L/Q/CL07vkmyvcQbbNlO2uwmIeuk5HFsj63J jjRGM96NCYGSPPWlUEhLXwp960MpDTTQ0Jf+mIWENv0RPTOSrZn1OJvLprQla1ik0XfOfHPO0TcX Xbx0L6bOEU45YUnbrV6ouA5OxmxCklnbvTUclJquwwVKJoiyBLfdJebupd2PP7qIdkSEY+yAfcJ3 UNuNhJjvlMt8DM2IX2BznMCzKUtjJOA2nZUnKToGvzEt1yqVoBwjkrhOgmJwe306JWPsDKVLd3fl vE/hNhFcNoxpeiBdY8NCYSeHVYngSx7S1DlCtO1CPxN2PMT3hOtQxAU8aLsV9eeWdy+W0U5uRMUW W81uoP5yu9xgclhTfaaz0bpTz/O9oLP2rwBUbOL6jX7QD9b+FACNxzDSjIvu0++2uj0/x2qg7NLi u9fo1asGXvNf3+Dc8eXPwCtQ5t/bwA8GIUTRwCtQhvctMWnUQs/AK1CGDzbwjUqn5zUMvAJFlCSH G+iKH9TD1WjXkCmjV6zwlu8NGrXceYGCalhXl+xiyhKxrdZidJelAwBIIEWCJI5YzvEUjaGKQ0TJ KCXOHplFUHhzlDAOzZVaZVCpw3/589SVigjawUizlryACd9oknwcPk7JXLTdT8Grq0GeP3t28vDp ycNfTx49Onn4c963cmXYXUHJTLd7+cNXf333ufPnL9+/fPx11vVpPNfxL3764sVvv7/KPYy4CMXz b568ePrk+bdf/vHjY4v3TopGOnxIYsyda/jYucliGKCFPx6lb2YxjBAxLFAEvi2u+yIygNeWiNpw XWyG8HYKKmMDXl7cNbgeROlCEEvPV6PYAO4zRrsstQbgquxLi/BwkczsnacLHXcToSNb3yFKjAT3 F3OQV2JzGUbYoHmDokSgGU6wcOQzdoixZXR3CDHiuk/GKeNsKpw7xOkiYg3JkIyMQiqMrpAY8rK0 EYRUG7HZv+10GbWNuoePTCS8FohayA8xNcJ4GS0Eim0uhyimesD3kIhsJA+W6VjH9bmATM8wZU5/ gjm32VxPYbxa0q+CwtjTvk+XsYlMBTm0+dxDjOnIHjsMIxTPrZxJEunYT/ghlChybjBhg+8z8w2R 95AHlGxN922CjXSfLQS3QFx1SkWByCeL1JLLy5iZ7+OSThFWKgPab0h6TJIz9f2Usvv/jLLbNfoc NN3u+F3UvJMS6zt15ZSGb8P9B5W7hxbJDQwvy+bM9UG4Pwi3+78X7m3v8vnLdaHQIN7FWl2t3OOt C/cpofRALCne42rtzmFemgygUW0q1M5yvZGbR3CZbxMM3CxFysZJmfiMiOggQnNY4FfVNnTGc9cz 7swZh3W/alYbYnzKt9o9LOJ9Nsn2q9Wq3Jtm4sGRKNor/rod9hoiQweNYg+2dq92tTO1V14RkLZv QkLrzCRRt5BorBohC68ioUZ2LixaFhZN6X6VqlUW16EAauuswMLJgeVW2/W97BwAtlSI4onMU3Yk sMquTM65ZnpbMKleAbCKWFVAkemW5Lp1eHJ0Wam9RqYNElq5mSS0MozQBOfVqR+cnGeuW0VKDXoy FKu3oaDRaL6PXEsROaUNNNGVgibOcdsN6j6cjY3RvO1OYd8Pl/EcaofLBS+iMzg8G4s0e+HfRlnm KRc9xKMs4Ep0MjWIicCpQ0ncduXw19VAE6Uhilu1BoLwryXXAln5t5GDpJtJxtMpHgs97VqLjHR2 CwqfaYX1qTJ/e7C0ZAtI90E0OXZGdJHeRFBifqMqAzghHI5/qlk0JwTOM9dCVtTfqYkpl139QFHV UNaO6DxC+Yyii3kGVyK6pqPu1jHQ7vIxQ0A3QziayQn2nWfds6dqGTlNNIs501AVOWvaxfT9TfIa q2ISNVhl0q22DbzQutZK66BQrbPEGbPua0wIGrWiM4OaZLwpw1Kz81aT2jkuCLRIBFvitp4jrJF4 25kf7E5XrZwgVutKVfjqw4f+bYKN7oJ49OAUeEEFV6mELw8pgkVfdo6cyQa8IvdEvkaEK2eRkrZ7 v+J3vLDmh6VK0++XvLpXKTX9Tr3U8f16te9XK71u7QFMLCKKq3720WUAB1F0mX96Ue0bn1/i1Vnb hTGLy0x9Xikr4urzS7W2/fOLQ0B07ge1Qave6galVr0zKHm9brPUCoNuqReEjd6gF/rN1uCB6xwp sNeph17Qb5aCahiWvKAi6TdbpYZXq3W8RqfZ9zoP8mUMjDyTjzwWEF7Fa/dvAAAA//8DAFBLAwQU AAYACAAAACEA2e1jn+YGAADuNAAADQAAAHhsL3N0eWxlcy54bWzkW1uPozYUfq/U/4DYPpbhMsCE NMl2bpFW2l2NulOpUqcPBEziLpcUnNlkq/73HhsIJoFAsklmkp2XCcY+5zsXn2Mfm97beeALzyhO cBT2RfVCEQUUOpGLw3Ff/P1xKHVEISF26Np+FKK+uECJ+Hbw4w+9hCx89GmCEBGARJj0xQkh064s J84EBXZyEU1RCG+8KA5sAo/xWE6mMbLdhA4KfFlTFFMObByKKYVu4LQhEtjx59lUcqJgahM8wj4m C0ZLFAKn+24cRrE98gHqXNVtR5irZqwJ8zhnwlrX+ATYiaMk8sgF0JUjz8MOWodryZZsOwUloLwb JdWQFa0k+zzekZIux+gZU/OJg144C4YBSQQnmoWkL5rLJiF9884FG5u6KKRWuY1c0FMgu/Ji8SRM ukHwy6+inJMpjTHKY/78SdIV6y86pJskT8L1B/nhQ+1gszx4AX9PUhA8Sa5bw+6qPGIy6dZ2BQfl peGJg0wUYQ0Pqzzwzc9v3ijg/yC/nOlx0POisFCnCpODuU/3cxh9CYf0HegTlEy7DXrJV+HZ9qFF pUScyI9igcBkAB2zltAOUNrj1vbxKMa0m2cH2F+kzRptYPMn6xdg8GaGKOWwLZ/rGNt+JRe5kiAD cDjgIyperqR1Xkz3hZJagm8gehjNt1WU8B6PJ6TZzvbf29lZEwWC6RSXlAvdsqyOfqUrV7qhmQzZ vjytpNt1rz4SiqXLMAcpuefLI1jxr0ccoET4iL4Iv0WBHa5anvXO5h77l0AEwL6/DNkQY9KWQQ/S G0FxOITXQvb7cTGFYBJCJk6DArxq7D2O7YWqGe0HJJGPXYpifMuHMJ1SGFW0yRxQiJ1UnEZQtTwy t1YuDPBq67JjmZrVURW9wwRYY7+5+2GQXdH5ppqdTsfSL1VdZzOuHlll9z0iY5MiZ49DF80RZHlI 8jSR7c80JTZZVoOFRBqFasx1PPaHVnKTpC9nfg7Zlo5ZOcMqTcbmNESqURS7sFXIl5csVqVtg56P PAIeF9N8B/9JNKXhIiIE1tODnovtcRTaPvXJfAQ/EvYYsJ3oi2QC24F87bTqzJRFxqFVf4aFQWnV HSDniFv1T4Vrli3Xyilh3tYeqcVfVM3HgXx6vtwC8ZE89AC6W4k0r2HeLsPeXsEcOEA2xeosaEMO cJDvf6LB+g+vSAQQsuceVy+AjTLdX9JyA/0JK8LsZxrz0weaC3hqKW2OrK7vRFeYe0sG26Najhbs 6dRfXPt4HAaIbrXoRh/27emjMIli/BVkpBt+B94jqDBBHY1gh2uhIs69VsqBAkuhHBUKDZkQKQy6 CaAI0qcbloezqkKdiNA5V3wDbZCioF3H6WDqgC1c7iutIX+cBSMUD1lpkYP+soKoJqtzpW5Ppcrc Hlo3WHbPoqRmeogjghyS1nR3ctvpkoLgR85nuqVIS2Nr7qyarFi3Jja0nrfYrPD4/VmbVYJf1tqv Lw4fI1lw0RGSKp9JV5NFFgch+9QlB3oEkIWnS54WtK8knlYxtR0nIF6g3hOn7DQj9UdOqs28viXo tpMVDhf2Liu3quIkhTB0AK1yqYxO+Cpfgfayr5x8KuMU3Fpoegq00+rp+Jm6WrzSTFmz6QmJxy0k v3eXLUWfU7ZptcuWQt4pi8dO4tPcxbnsZuudU5SlWaa6ONBySaOzQ/w1DdbGtH9msDF6iJGH50XQ PnmN1mihtLI7v2xdI/Xm4HCutt6cxc8pZnAFxVJdCyLBbjUz3o/qq5Wt1roHqBZyKeL1gatOz6Xd aUN6LkqZFVvo4y+RqxPyZoHaTK5XJqZqVufNsxMUUmBeXOYWWN+NPc88F3LhhxZjv2klydGic2Mr Wg3Vv62PhajXZgBgU1tUd6B9l+rc9sXJpnOrOoCA9nUA3HN9bAsN0ksqO5wE1gGGHdKBNboNYLj1 1hxQ4eBn+7rg3hLkqjhwq0cUvsT29BHNWaEOfLv94VaLBQ5oZJOFDipYkyzsfB1O1Llj+9Kh/fL4 XaA3hvviR3qi6nMCjWbYhyt+FQf2QNOdF1cANDhlhOeKi5/FpdF4POqLQ/hT4K/2eqLMyOyTFqUI cAn9LIRdXVjqAMzrIs+e+eRx+bIvFr8/IBfPAohqWa8H/BwRRqIvFr/ZHW/VpBKBj71P4JIa/Bdm Me6L/97fXFl390NN6ig3HUm/RIZkGTd3kqHf3tzdDS1FU27/4z5O+YZPU9i3NHDmo+rdxIcPWOJM 2Az8p6KtL3IPKXxmD4DNY7c0U7k2VEUaXiqqpJt2R+qYl4Y0NFTtztRv7o2hwWE3dvyERZFVNf0Y hoI3ugTuUPs4zG2VW4hvBSPB4wYh5NwScvGh0uB/AAAA//8DAFBLAwQUAAYACAAAACEAmzjqNBME AAADDwAAFAAAAHhsL3NoYXJlZFN0cmluZ3MueG1s1Fdbb+o4EH5faf/DKE+stE24nUOLaI4ogdJd QjiQs9U+rVwwNNpgc2ynLfvrd5xAL7FDu0+rg6pKmRl7xp+/ubj35WmbwgMVMuHs0mm4dQcoW/JV wjaXzrd4dHbugFSErUjKGb109lQ6X/yff+pJqQDXMnnp3Cu163qeXN7TLZEu31GGmjUXW6LwU2w8 uROUrOQ9pWqbes16/bO3JQlzYMkzptBvC/1mLPme0UEhueg4fk8mfk/5cbKlPU/5PU9/F7I/qJQ0 hSkxVQFRZXMdaFfuyBIPgJFIKh6o40+ISlS2olDefMLZJteUFPZtpvRJwYwLBXwNA5Km5f3sy4JE w7qkMM+YEcFCUbLFKwDb2Z9XKg7XHGrT8JcPBdrHayYbCosdpSvDZcwVSeGNTRmXIcLCMOBZWNbM NKhMAV6ekB9Df+TeAszdyL1yjVjmyCPxtyx7mXLOYE53iLXBB77XR5tm2zsqyspAkLWC0W0ANQMq v1D2R3G1MryxrjQvHoZxv+z8cJbuh65IgzLgTGbbncKENIDR+pngq2yp1fakMKEh+w21IzPjMtE7 /XXMBeNinw0qcsLXKGj2R2vNfYMyJiBH+iLvy9ZH2p9ifcyveXndgbU5scu6nNenDApWW0idMwNZ Y6UTEsYqD5NVRXJYc8O/TdgqSAS1XuggEwLTqlK/eKRppTKI5tGVEWP0il5l5ei2mluj25MLLa5Q NIgmi7KTyWJkC0yLT3iIkWXlneyU1oCOuFgaLeMAppUkGsgxTTb3hhM8RTicREZWR1d9i1g7B6v3 XPPeRRel2cgKDC6FivDyAjpwjQB1F+yzlc4kqGFE2Iq78Cf+zsLwLAhgPO6GlmKIq6zm5Q6DZZPv Av5opHBR0UN36E4i9+1JBDZzey/Utws1+tQ9FDy01H8z/HfnYcv/Bx5IilNCw8GvJU+5AIWzBnbz pgMq0RPEWd1tX1xcnLc77Xqn/an5ualtxYhjV8oXY3VK7kSipWvsrem+EOdm+eRCCwG2XS60lZf7 V36jDe02TIuzvIrsf43KjiMcrgmjfJ6VflDU650mNM7dTzD8UYFXvq4qKVQXaDc6DkC1MDYzDNWv ZwGbzaGmVfsYELHBKVGQlVkPc9XXjDAcg/dG23xTOMZjS7EosvZYW6wmuftq718zpmdww/nEXbij 0+gcTd5DaPz+VkeTd7eyd67x6c4VxjAeDvrxgccvT5gGPoPKqA+Efo9ESXmOsqd7vek12+bwnLeE vq0CKz+Ipte/3fR/j77BrzAY30yNeXVaDtTu+/AAC0SyxgK8gWi9hpgkj4Thxv1HgmMlSm+YVKIY ViX8t18ZmmYL2i233TpW4tdAtqDedDvPteJFVceHpTE2vAg8fMT6/wIAAP//AwBQSwMEFAAGAAgA AAAhADttMkvBAAAAQgEAACMAAAB4bC93b3Jrc2hlZXRzL19yZWxzL3NoZWV0MS54bWwucmVsc4SP wYrCMBRF9wP+Q3h7k9aFDENTNyK4VecDYvraBtuXkPcU/XuzHGXA5eVwz+U2m/s8qRtmDpEs1LoC heRjF2iw8HvaLb9BsTjq3BQJLTyQYdMuvpoDTk5KiceQWBULsYVRJP0Yw37E2bGOCamQPubZSYl5 MMn5ixvQrKpqbfJfB7QvTrXvLOR9V4M6PVJZ/uyOfR88bqO/zkjyz4RJOZBgPqJIOchF7fKAYkHr d/aea30OBKZtzMvz9gkAAP//AwBQSwMEFAAGAAgAAAAhABPELBPCAAAAQgEAACMAAAB4bC93b3Jr c2hlZXRzL19yZWxzL3NoZWV0Mi54bWwucmVsc4SPwWrDMBBE74X8g9h7JDuHUIolX0oh1yb9AEVe 26L2Smi3Jfn76NiEQo7DY94wXX9ZF/WLhWMiC61uQCGFNESaLHydPravoFg8DX5JhBauyNC7zUv3 iYuXWuI5ZlbVQmxhFslvxnCYcfWsU0aqZExl9VJjmUz24dtPaHZNszflrwPcnVMdBgvlMLSgTtdc l5+70zjGgO8p/KxI8s+EySWSYDmiSD3IVe3LhGJB60f2mHf6HAmM68zdc3cDAAD//wMAUEsDBBQA BgAIAAAAIQBF20MZOAAAANwAAAAnAAAAeGwvcHJpbnRlclNldHRpbmdzL3ByaW50ZXJTZXR0aW5n czEuYmluYmCgDDCyMDDdARrBP7uBnZGBk2EWtwlHCgMjAytjBiMTkM5gZACStAEgc5mAGJf5AAAA AP//AwBQSwMEFAAGAAgAAAAhAMVeXJBGAAAA3AAAACcAAAB4bC9wcmludGVyU2V0dGluZ3MvcHJp bnRlclNldHRpbmdzMi5iaW5iYKAMMLIws90BGuH8voGVkYGT4RVXPkcKAyMDP0MUAxOQhpA+DKkM JUCYylBEoX0g7YxQM0A0E5T/HwjQjQYAAAD//wMAUEsDBBQABgAIAAAAIQCAyCrf+QAAADwDAAAQ AAAAeGwvY2FsY0NoYWluLnhtbGTSS0vEMBSG4b3gfwhn76TOQkSaDuPoeL/PeNuFNE4LaVKSIvrv zaZFzrcp5Gk4DX1TLn46J75tTG3wig5nBQnrTahbv1O03awPjkmkQftau+Ctol+baFHt75VGO7Nq dOtFnuCTomYY+hMpk2lsp9Ms9NbnN18hdnrIy7iTqY9W16mxduicnBfFkezyAKpKI6Ki5d2cRKso P10+CsnRb0ef5AbkGuQK5BLkAmQNcs4FPgVzVzDkDAT3nMKeJZcPDp8c3jm8cdhy2HB44fDM4YnD I4cHDvccptpjVcgMlSEp9IN8UA9K4G/nJ339B3K699UfAAAA//8DAFBLAwQUAAYACAAAACEA181x +QsCAAC+BAAAEwAoAGN1c3RvbVhtbC9pdGVtMS54bWwgoiQAKKAgAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAApJRLb+IwFIX/CsreOA/nATLuoqgjpGkZlZnR7NCN7VBLiR3ZZqD/fhxa HhqxAFXZeOHz+dxz7w192Hft6K+0Thk9i5JxHI2k5kYovZlFW9+gKnpgtJ/21vTSeiXdKCi0m/az 6M37foqx42+yAzfuFLfGmcaPuemwaRrFJU7juMCd9CDAAz5Tok/M3qkTaLfbjXfZ2NjNIEvwn+fv qwMbKe08aC6Pqp7f9rrSjenBvw28Ev8A67W0j0Z7a1oXMSoM33ZS+2fQsJHDidFXqaGTT6qVHxZn EakFqcqyRgBxjAgBjmqSpGgiZBUX+QSAZMGZU1Ot2lnk7VZGmNEXY/Sr7I31R1BVEyEamaI8I4DI hOdokkOB0hKKKhVFJkoesSROU4rPakaXdqM0tIOnl+Dti74W7mmg3UVhL4biTyGjq23dKT8HL39D uz35ubG8IksImWRJlmY5xf+xGJ1/9uTne39fpcGj0aOPxCm+xASodFz1Pgz5F8NbSavuzS4JVR5k jK5Fy9fB2kKcZoKLOEmqFJWkDjORJQJVJa9QWjeTohK1SCGP2Hz5+IwSUlRlGocvjE1M8Rl2Cf5l T62tbmLToGDDLruwzGF1pR9mFtrDGi+/4XUL72brHU7yIdWFeJVC2TG4fv+wmM+uWhuQh9DtR+rX Cxi6crxwWc5Bja8tJ778E7F/AAAA//8DAFBLAwQUAAYACAAAACEAsoGh8VcBAABgAgAAGAAoAGN1 c3RvbVhtbC9pdGVtUHJvcHMxLnhtbCCiJAAooCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAACkksFPwyAYxe8m/g8Nd0ZLKYVl3eI6TbwZo4nXr0C3JgMWYMbE+L9Loxc1O3kiD/J+733A avNmj8WrCXHyrkPVokSFccrrye079Px0hwUqYgKn4eid6ZDzaLO+vlrpuNSQICYfzH0ytsgbU17v dx16l5IKXokbzJttj1kvKN6yusK8r285k7LtG/qBihztMiZ26JDSaUlIVAdjIS78ybh8OPpgIWUZ 9sSP46TMzquzNS4RWpacqHOOty/2iNZzny/3oxnjTzlXO4fpT4qdVPDRj2mhvP0O+AJbk2CejpxC rhLSZCIi/4BObvQnSIeZ3pIHCMmZ0HuXgj9eJrNBM9G2AwYoS8wYKDywimKpjSh5IwFYfbGWGJjW o6G4qRlgJlWDZQMc0xa4oJrXulWXzUqXVZVfrWVDNteVxqJVAtNhlFzoQVNoZjP5deuz/vEr1p8A AAD//wMAUEsDBBQABgAIAAAAIQC9hGIjkAAAANsAAAATACgAY3VzdG9tWG1sL2l0ZW0yLnhtbCCi JAAooCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABsjjsOwjAQBa+C0pMt6NDiNIEK UeUCxjiKpazX8i4f3x4HQYGUep5mHnYkvHUc1UcdSvKdwRNnGjyl2aqXzYvmKIdmUk17AHGTJyst BZdZeNTWMYFMNvvEISo8dvC1abXBWF3SGOyDVF8xPbs71dQ5XLPNZUkh/CAeb0HXJx+CF/9cxwtA +Dtu3gAAAP//AwBQSwMEFAAGAAgAAAAhAJ0HijLyAAAATwEAABgAKABjdXN0b21YbWwvaXRlbVBy b3BzMi54bWwgoiQAKKAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAZJDBasMwEETv hfyD0d2WEjvBDrZDXBHItbTQq5DXscDSGq0cWkr/vTI9pT0ts8POG7Y+fdgpuYMng65h20ywBJzG 3rhbw95eL2nJEgrK9WpCBw1zyE7t5qnu6diroCigh2sAm8SFifMqG/Ylu7ySe9GlsjtXabE9FGlV Xcq0eJa5FNVenMvdN0si2sUYatgYwnzknPQIVlGGM7hoDuitClH6G8dhMBok6sWCC3wnxIHrJeLt u51Yu/b5vX6BgR7lWm3x5h/FGu2RcAiZRstpVB5mNDH8nnONLkRO+JyBrzWI8bbmfyCrfnhC+wMA AP//AwBQSwMEFAAGAAgAAAAhAGNbDYRcAQAAkQYAABMAKABjdXN0b21YbWwvaXRlbTMueG1sIKIk ACigIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOyVXU/CMBSG/8rCNa4bEgykKzEQ lRjQCHrflYNr7MdsO+L89Z6NgMGExCuuSJN+nfb07XnSHjrW3l4JawKYsKpLGDPqSxi9gAC5Beej L62MH+Fc1ilCKEeEeFGA5j7WUjjr7SbEwmriC+6gtNIEAlt05juM7r0wuuAa2NSKSqMpmk2jezDg eLCOktZGl7URhbNGfvMgrWH7sa08JX+NtJHK0iRJUkraPl3CZwVGwKLSObjWhvuOJ+mrU4yStr71 HnSuajY/XONps5EC4r3MOTf8HRrB3egNQ4GqsnQQJ03pRpNKhcpBZqAKjqtu9FzlSopHqFf2A0x2 k8IwF5Cm2PZ7Q0HJ4UQ6Udz7/xwczxCMM1w1ombrB27WCjBkOwd0ygPH++yaO6lwLQ4Pnd/wnwFE 7zQIZHQB0byms7yI/mkQyOgC4mwgBqdBXF9A7PILfldH6Yb9AAAA//8DAFBLAwQUAAYACAAAACEA 6eWCFekAAABBAQAAGAAoAGN1c3RvbVhtbC9pdGVtUHJvcHMzLnhtbCCiJAAooCAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAABkj8Fqg0AQhu+FvoPMXdeoSWNQQzAWci0t5LqsY1xwd2Rn DYXSd+9KT2lPwz/DfN9Mdfw0U3RHx5psDZskhQitol7bWw0f76/xHiL20vZyIos1WIJj8/xU9Xzo pZfsyeHFo4lCQ4d6OdfwlW67bHMq2rhrt3lcpOkuLvO8i3ddV57SffnSFtk3REFtA4ZrGL2fD0Kw GtFITmhGG4YDOSN9iO4maBi0wjOpxaD1IgtMoZagN1czQbPe87v9hgM/xvW0xel/FqOVI6bBJ4qM 4FE6nEkHON6DgkE0lfiDXfPD280PAAAA//8DAFBLAwQUAAYACAAAACEAozT0PL4JAACcMgAAEwAo AGN1c3RvbVhtbC9pdGVtNC54bWwgoiQAKKAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAA7FtLj+M2Er4HyH8QtGdblizbsjGeYLqdBho7L0z3ZHdPA4qk29qWRY0o9QPB/vctknpLtml1 zxyCJIe0JVWxqlgv1se8+e1pHxoPNOEBi9amPZ6YBo0wI0F0tzazdDvyzN/evsHpCrMopVF6+xzT G7yje2TAw29r0zT2qPxv7aOPaE/X5obhbA9k8qva2+vN2pw8TWz4dzK5XHgb19tsLi4cb+r+7nmz +ezdhe0sNsvl1WbWpv2jlLbzakM5ToI4lcpcJhSl1EBGRB8NkgsybnO7wSwGQeXj3A5CON+z5/OZ u9y6/owsXN/3PH/hkKk/dWfLpe2bBhgu4iucrs1dmsYry+LSLHy8D3DCONumY8z2FttuA0wtZzKZ W3uaIoJSZNUsUTDaoyGM4gSkT9KAcsn8XZomgZ+llJtvf/3lzRMnKyWVkaLkjqZiU3iMMCh8vtDV WtJYCWOge5pkVP7cBjQkXJjOXU6drTcnk/nW3lJn7kyndDqfOFN/YdvubGoaEXeUy0R8Wvzhqj+U VUHwUsLHx8fx43TMkjthRNv694f3ygELyz1x/W/jlyqu5AMF1qaHycS2PWcE7oFG7tQmI2+BvZHj b5dzj/jEQeCgBcEUDOMT11ss/BFCk8nIdREe+a7tjJaEepP5bImQC8YpCFxYwXcJAROOZlMXVlji 2Wg5Q/ORs0BzzyHzKVngcqODfcyS1IiqLdYS0CocpUuvJe8Rei3xS3oaUpEppAJrs+ZshYAQTXFI n0QGKp2bfs8gXZW/mzyKmP+AInQnmZfG6uGFwrBgW7BJ6HZtSmclIf4GueyagK8H0SeMswS8bmJ2 pO8h+ZqEA6g+iyzHU+0Vp6si1woDaS44XX1K7oIIhVdBSEVy0Ka7oUmAdPWarq75lVjmiL1udiih 5F9BuvvKQXVtQUTKVxlfm+QLFUEiVNYkcVcfGYu+UBFg2iQ3mb8P0g2UoD9QKJNkx3EskaBzv5N/ t9xSPsudUfim/M1rPq9PJGvTqZqgl9Fyga5Yst/QLcpCKAPfMxQGUAIgPn5wBif7Kt2frrjdFGCl EB7gXkrMGOsVhCDashilO1GCFtZnlKQRTS6hJUpYWNXabgrVrrIHBT2SX3WYHxf8QPL9Vk93aBVE hD5BNYLCHYQh8kNoH8q6TwIeh+i52e4Z1xuj8Hq0IvWu7HZHjQcREAbbGin8KDQXNIjz4C6ixEgZ vAu4EaR0r1q2ANrPBFKIWqglIXR65FMUPudylX4OGxLSesFIKIcOCYsG0fARB0XAn1a39ClVqUlF WIOsHYQiZpt1phJGpfrSYsuzLCbbqIatoAbsUSSKYhhE96VRmr3sLiCEQu9e7sghSxXCHTBWT0nM Hwk/ByHK6vgEv8R5oWbBr1/eVx3n0aIspRAxqEwPXhKQboVse9oBR631+6ahmMqeF/Y4uusYXzLp z6HgAEqnMs12dddJtseco17RSxex4cB1KqpyQgiQrov8k9JYRA7sBiJEhYq2RzQlemEQXTAWUhS9 II66LUBlJuikT5lJkRuihZB2asZBH/MfEgnQvXyAmhjoxgN8fw3VpdVXwKn6qWgzs8hnGeRgcqx9 rbcFXS/cVFm6L1CO97SiW1qb7zAGKWRDWoWv6NU6Lapm8OYMVbvaDd6uTC9of9o902vFuxJJq7nS O/393Vz91Zur1jGtSnG2freQH/EEbb0rarD+yU1Q9yBZaeac1qyfvK5c+4ufrF954K3UEpOsEw1x jYoUZ6URbDTMTBudXl/BUifsc9X8mO19mrygChdHdSFj3vnbrpK43urXPytV+yjKWJ9qWzgsIjgn bmBeSdhj1KNvwfBchS93DAasZWmkEQycEyQ7fHnOWJv/gfNe1UB234PUVWtYOyFUR+4zDwSNmURl xYVGgNenGZ3wrl7+ZOdvTEwqhTROhB3KekjXXv5Qhc6o0lozS+PvKv1Xr9KNgV/l8RonekFplLPC nJQCnlEe0EOY667NP735fO7Yc3/kzCbuyCXefITsxXLk+q5Pt8SfExv/rydRtkSrDjFbFHIFxvAd e7wSgMzavA1SmHOeG17vGbvP4pec5TrTz9KIjkaj0x2eiqqCgz2oKObuqjjVc0mbYmDdLMjg9HEd 4TDjwUM+ryrH/TKbnF8mzkhCrcEeQHwRjCtVDeUSCQMM7x4wjQ6smNBRHaY7kadQARc2ZrlZVJvm +iHD9+WY9x8wrM5Hp5256XApB02Mg9Og3yiIeIoAHiqmvaSa9sZZEkpLEmzlVuKWPbat6lvwrtqs uU4g35RfMpjHnZgiF226xfzqEH9wWnxENjXxfs+wbHDKVUnmw4QQs4RKnfK5uAWG5dZ30BCm1lNr 4loTxyJ4DOOBqh/SkqJQ+DWWl7yaMjTHqUKNzyWuXYwrLm+/tV6ULV1tcpmjh92Pi7g+hPIRvMLi vgBLjgxi7AP4FcFSKcVBYCCN2UV9lHOYwyqAKW4qMJQzJVDTmcaNgiPL90xJqz5f5dXGRD+f/Rry xNmPdoLpUllkjqldO030HCZUkTrInmf+fyluQ2+adq2ds87bGGXYe/r8yBLSBiSbi3etelCXEEV3 GaTuIbJA1NM7ljwfpdWQRWmW33Z5HWYJfQgEJnAmtzIso4ilMqcVTwqQo3hoHPjnVsBEClCC02og TMQlrgTnPDgIC5SJowd4xhKjEJKPDQFDoTgOBYGAMoAJlPSYAbAB+JYBtdbIYrirAziCQqLUEmgL kW5QhHcls/Gvv/SJpsDathbqKWpoexpgChFPP8CdLAGwXrx49+UVhSJl7XO2g9xR4UI3sHHZoPjQ wr9VzVFu8aLbTMeh0FNnOo1e6TUh5RJG17jblNumWUUFtgPhmL/rgHurJl5QIprSOWK8agAGjXry Vvhw8X1r6YK6hhUMpe25xdJZWQjSug4B9xQbt4QOy6qSYC8wshIgMQCIx1Q9AIoIic4kbgIg+uQX m8t3nDMcQMojv0PvkD4P3m7glXM4XMRrMFTbBdobAVYo4wUSJdyiApdSC5RXEHPrlt/lrnSMTpvk 5pnDxYHrvP2XF5vUXp5erTApFIVDdELbk25W6aE8pa19WaabG35YwDabCsc7j0OPbQbK0jaVJptm nqo8b2iqUpZ9WcJSPAqH+UK3NBH3CltVUSf15ZyIGPLXL3ydQwt4yWBaACUG04rOfKjM4i72UdpX SNY9O13gxvpp8+BWD2Yl9no4MWz2cGLY7eHEsN3DiWG/zye+FSOVwUVKUOtflThVo7SyeDNXlQIM TVWCQc81W53cINdujxZ+REdUyThsf8V1kJOUMhmU1yasvv+/5O3/AQAA//8DAFBLAwQUAAYACAAA ACEAgPX8stUBAAC6BAAAGAAoAGN1c3RvbVhtbC9pdGVtUHJvcHM0LnhtbCCiJAAooCAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC0lNtq3DAQhu8LfYdF91r5IJ9CvGFJshBooLQp5HYs jXdNLclIcrel9N0rOyklzS7bkvTKjMXMN/PrH51ffFX94gta1xldk3gZkQVqYWSntzX5dLehJVk4 D1pCbzTWRBtysXr75ly6MwkenDcWbzyqRfjRhe/NVU2+53EVZVGW0zxep5RnOaflmofwuthUmzRJ i8vrH2QR0DqUcTXZeT+cMebEDhW4pRlQh8PWWAU+hHbLTNt2Aq+MGBVqz5IoypkYA17dq56spn4e sj9g656GU2uj7Z5RVCescab1S2HUI+ChsEIP03RMGO0D7u7bgIS9WtXBhgGt79CxibT23nbN6NGd Yuz3++U+nfUIAsTs/vbdx1my/9Lc0aKlkFEclwkteAOUp7GkZSFKmjRtlZeykQlkR5N5I3lZFA0F iCLKOQja8DihlcQyyrMKgKfHyQ2XssWEZikP5EpktMogp0kBeZnIPJWFeLkW8tFlt6Bhi7PffHDA yev5Zd+Dxup0awbwu8lhBXsP1mu0l8Ff1vR/XfnAYgwgPocunxnXIv3ts1OaDKPtZ1tJwbCfR3Ys XsbsXxI9WuVOZhwWqQt7ZjX0zDRyYrI/9nmKn7w3q58AAAD//wMAUEsDBBQABgAIAAAAIQA4edHm QgEAAFECAAARAAgBZG9jUHJvcHMvY29yZS54bWwgogQBKKAAAQAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAB8kl9LwzAUxd8Fv0PJe5u0+2toO1DZkwPBDsW3kNxtxSYNSbTbtzdtt9rBEO5L7jn5 3ZNL0tVRVsEPGFvWKkNxRFAAiteiVPsMbYt1uESBdUwJVtUKMnQCi1b5/V3KNeW1gVdTazCuBBt4 krKU6wwdnNMUY8sPIJmNvEN5cVcbyZw/mj3WjH+xPeCEkDmW4JhgjuEWGOqBiM5IwQek/jZVBxAc QwUSlLM4jmL853VgpL15oVNGTlm6k/ZvOscdswXvxcF9tOVgbJomaiZdDJ8/xh+bl7fuqWGp2l1x QHkqOOUGmKtNnuLxwS+uYtZt/I53JYjHk9dv9ATv4vYQEIEPQPu4F+V98vRcrFGekHgWknlIZkW8 pPGCJuSzHXl1vw3UN+R58L/EZBoSXw8FmdLJwteIeAH0ua8/Qf4LAAD//wMAUEsDBBQABgAIAAAA IQCemyIJjQEAACMDAAAQAAgBZG9jUHJvcHMvYXBwLnhtbCCiBAEooAABAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAJyST2/bMAzF7wP6HQTdG7nZUAyBrGJoV/SwP8GStmdOpmOhsmSIrJHs00+2 0dRZDwN6I/keHn4ipa/2rRc9JnIxlPJiUUiBwcbKhV0p77e355+lIIZQgY8BS3lAklfm7INep9hh YockckSgUjbM3Uopsg22QIssh6zUMbXAuU07FevaWbyJ9rnFwGpZFJcK94yhwuq8OwbKKXHV83tD q2gHPnrYHroMbPSXrvPOAudXmu/OpkixZvF1b9FrNRd1ptugfU6OD6bQat7qjQWP1znY1OAJtXod 6DuEYWlrcImM7nnVo+WYBLk/eW1LKX4D4YBTyh6Sg8AZa7BNzVj7jjiZx5ieqEFk0iobpuFYzr3z 2n0yy9GQi1PjEDCBZOEUcevYI/2s15D4f8Qjw8Q74fyIMYhf2MXEc8gjrmsHSVTA8OYR414yzj8A 31x4ovtuG2+A8WXBp0O9aSBhlW9yPMBxoO/ybpMfQq4bCDusXjxvheE7PEx/3lxcLoqPRb70bKbV 6+82fwEAAP//AwBQSwMEFAAGAAgAAAAhAEU55nlCAQAAMwIAABMACAFkb2NQcm9wcy9jdXN0b20u eG1sIKIEASigAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAApJE9T8MwEIZ3JP5D5N214yTE rpJUTdyibgyFtcqH00aK7Sh2SyvEf8cRlIqBBcbTe/foubtkcZa9dxKj6bRKgT/DwBOq1k2n9il4 3q4hBZ6xpWrKXiuRgoswYJHd3yVPox7EaDthPIdQJgUHa4c5QqY+CFmamYuVS1o9ytK6ctwj3bZd Lbiuj1IoiwjGD6g+GqslHL5x4JM3P9m/IhtdT3bmZXsZnG6WfMEvXitt16TgjUcF5xGOIFmxAvrY zyELWAwxxZjkpFiz5eodeMPUTICnSulWL7SyTnuCbhpHPdl5P7waO2b4jB0DY1zElIeU8zwnNAhX lEYP0TL3ScwZW/MoQbeZBF2t/ukXXP12TV/v3HE3zcYK+XjsfkqSmIa4qqYl4wCGgoaQtYTBFlMh yoqxKqa/CaLbt7MPAAAA//8DAFBLAwQUAAYACAAAACEAdD85esIAAAAoAQAAHgAIAWN1c3RvbVht bC9fcmVscy9pdGVtMS54bWwucmVscyCiBAEooAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AITPwYoCMQwG4LvgO5Tcnc54EJHpeFkWvIm44LV0MjPFaVOaKPr2Fk8rLOwxCfn+pN0/wqzumNlT NNBUNSiMjnofRwM/5+/VFhSLjb2dKaKBJzLsu+WiPeFspSzx5BOrokQ2MImkndbsJgyWK0oYy2Sg HKyUMo86WXe1I+p1XW90/m1A92GqQ28gH/oG1PmZSvL/Ng2Dd/hF7hYwyh8R2t1YKFzCfMyUuMg2 jygGvGB4t5qq3Au6a/XHf90LAAD//wMAUEsDBBQABgAIAAAAIQBcliciwwAAACgBAAAeAAgBY3Vz dG9tWG1sL19yZWxzL2l0ZW0yLnhtbC5yZWxzIKIEASigAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAhM/BasMwDAbge6HvYHRfnPYwSonTSxnkNkYLvRpHSUxjy1hKad9+pqcWBjtKQt8vNYd7 mNUNM3uKBjZVDQqjo97H0cD59PWxA8ViY29nimjggQyHdr1qfnC2UpZ48olVUSIbmETSXmt2EwbL FSWMZTJQDlZKmUedrLvaEfW2rj91fjWgfTNV1xvIXb8BdXqkkvy/TcPgHR7JLQGj/BGh3cJC4RLm 70yJi2zziGLAC4Zna1uVe0G3jX77r/0FAAD//wMAUEsDBBQABgAIAAAAIQB78wKjwwAAACgBAAAe AAgBY3VzdG9tWG1sL19yZWxzL2l0ZW0zLnhtbC5yZWxzIKIEASigAAEAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAhM/BasMwDAbge2HvYHRfnHQwSonTyyjkNkYHuxpHccxiy1jqWN9+pqcWBj1K Qt8v9YffuKofLBwoGeiaFhQmR1NI3sDn6fi8A8Vi02RXSmjgggyH4WnTf+BqpS7xEjKrqiQ2sIjk vdbsFoyWG8qY6mSmEq3Usnidrfu2HvW2bV91uTVguDPVOBko49SBOl1yTX5s0zwHh2/kzhGT/BOh 3ZmF4ldc3wtlrrItHsVAEIzX1ktT7wU99Pruv+EPAAD//wMAUEsDBBQABgAIAAAAIQAMxBqSwwAA ACgBAAAeAAgBY3VzdG9tWG1sL19yZWxzL2l0ZW00LnhtbC5yZWxzIKIEASigAAEAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAhM/BasMwDAbge2HvYHRfnJQxSonTyyjkNkYHuxpHccxiy1jqWN9+ pqcWBj1KQt8v9YffuKofLBwoGeiaFhQmR1NI3sDn6fi8A8Vi02RXSmjgggyH4WnTf+BqpS7xEjKr qiQ2sIjkvdbsFoyWG8qY6mSmEq3Usnidrfu2HvW2bV91uTVguDPVOBko49SBOl1yTX5s0zwHh2/k zhGT/BOh3ZmF4ldc3wtlrrItHsVAEIzX1ktT7wU99Pruv+EPAAD//wMAUEsBAi0AFAAGAAgAAAAh AOGFJ5mxAQAAmQgAABMAAAAAAAAAAAAAAAAAAAAAAFtDb250ZW50X1R5cGVzXS54bWxQSwECLQAU AAYACAAAACEAE16+ZQIBAADfAgAACwAAAAAAAAAAAAAAAADqAwAAX3JlbHMvLnJlbHNQSwECLQAU AAYACAAAACEAAjTp880CAABFBgAADwAAAAAAAAAAAAAAAAAdBwAAeGwvd29ya2Jvb2sueG1sUEsB Ai0AFAAGAAgAAAAhAH1eye44AQAABQYAABoAAAAAAAAAAAAAAAAAFwoAAHhsL19yZWxzL3dvcmti b29rLnhtbC5yZWxzUEsBAi0AFAAGAAgAAAAhAGp/AYP1CQAAaTEAABgAAAAAAAAAAAAAAAAAjwwA AHhsL3dvcmtzaGVldHMvc2hlZXQxLnhtbFBLAQItABQABgAIAAAAIQDVLu5sBAcAAOIbAAAYAAAA AAAAAAAAAAAAALoWAAB4bC93b3Jrc2hlZXRzL3NoZWV0Mi54bWxQSwECLQAUAAYACAAAACEAdT6Z aZMGAACMGgAAEwAAAAAAAAAAAAAAAAD0HQAAeGwvdGhlbWUvdGhlbWUxLnhtbFBLAQItABQABgAI AAAAIQDZ7WOf5gYAAO40AAANAAAAAAAAAAAAAAAAALgkAAB4bC9zdHlsZXMueG1sUEsBAi0AFAAG AAgAAAAhAJs46jQTBAAAAw8AABQAAAAAAAAAAAAAAAAAySsAAHhsL3NoYXJlZFN0cmluZ3MueG1s UEsBAi0AFAAGAAgAAAAhADttMkvBAAAAQgEAACMAAAAAAAAAAAAAAAAADjAAAHhsL3dvcmtzaGVl dHMvX3JlbHMvc2hlZXQxLnhtbC5yZWxzUEsBAi0AFAAGAAgAAAAhABPELBPCAAAAQgEAACMAAAAA AAAAAAAAAAAAEDEAAHhsL3dvcmtzaGVldHMvX3JlbHMvc2hlZXQyLnhtbC5yZWxzUEsBAi0AFAAG AAgAAAAhAEXbQxk4AAAA3AAAACcAAAAAAAAAAAAAAAAAEzIAAHhsL3ByaW50ZXJTZXR0aW5ncy9w cmludGVyU2V0dGluZ3MxLmJpblBLAQItABQABgAIAAAAIQDFXlyQRgAAANwAAAAnAAAAAAAAAAAA AAAAAJAyAAB4bC9wcmludGVyU2V0dGluZ3MvcHJpbnRlclNldHRpbmdzMi5iaW5QSwECLQAUAAYA CAAAACEAgMgq3/kAAAA8AwAAEAAAAAAAAAAAAAAAAAAbMwAAeGwvY2FsY0NoYWluLnhtbFBLAQIt ABQABgAIAAAAIQDXzXH5CwIAAL4EAAATAAAAAAAAAAAAAAAAAEI0AABjdXN0b21YbWwvaXRlbTEu eG1sUEsBAi0AFAAGAAgAAAAhALKBofFXAQAAYAIAABgAAAAAAAAAAAAAAAAApjYAAGN1c3RvbVht bC9pdGVtUHJvcHMxLnhtbFBLAQItABQABgAIAAAAIQC9hGIjkAAAANsAAAATAAAAAAAAAAAAAAAA AFs4AABjdXN0b21YbWwvaXRlbTIueG1sUEsBAi0AFAAGAAgAAAAhAJ0HijLyAAAATwEAABgAAAAA AAAAAAAAAAAARDkAAGN1c3RvbVhtbC9pdGVtUHJvcHMyLnhtbFBLAQItABQABgAIAAAAIQBjWw2E XAEAAJEGAAATAAAAAAAAAAAAAAAAAJQ6AABjdXN0b21YbWwvaXRlbTMueG1sUEsBAi0AFAAGAAgA AAAhAOnlghXpAAAAQQEAABgAAAAAAAAAAAAAAAAASTwAAGN1c3RvbVhtbC9pdGVtUHJvcHMzLnht bFBLAQItABQABgAIAAAAIQCjNPQ8vgkAAJwyAAATAAAAAAAAAAAAAAAAAJA9AABjdXN0b21YbWwv aXRlbTQueG1sUEsBAi0AFAAGAAgAAAAhAID1/LLVAQAAugQAABgAAAAAAAAAAAAAAAAAp0cAAGN1 c3RvbVhtbC9pdGVtUHJvcHM0LnhtbFBLAQItABQABgAIAAAAIQA4edHmQgEAAFECAAARAAAAAAAA AAAAAAAAANpJAABkb2NQcm9wcy9jb3JlLnhtbFBLAQItABQABgAIAAAAIQCemyIJjQEAACMDAAAQ AAAAAAAAAAAAAAAAAFNMAABkb2NQcm9wcy9hcHAueG1sUEsBAi0AFAAGAAgAAAAhAEU55nlCAQAA MwIAABMAAAAAAAAAAAAAAAAAFk8AAGRvY1Byb3BzL2N1c3RvbS54bWxQSwECLQAUAAYACAAAACEA dD85esIAAAAoAQAAHgAAAAAAAAAAAAAAAACRUQAAY3VzdG9tWG1sL19yZWxzL2l0ZW0xLnhtbC5y ZWxzUEsBAi0AFAAGAAgAAAAhAFyWJyLDAAAAKAEAAB4AAAAAAAAAAAAAAAAAl1MAAGN1c3RvbVht bC9fcmVscy9pdGVtMi54bWwucmVsc1BLAQItABQABgAIAAAAIQB78wKjwwAAACgBAAAeAAAAAAAA AAAAAAAAAJ5VAABjdXN0b21YbWwvX3JlbHMvaXRlbTMueG1sLnJlbHNQSwECLQAUAAYACAAAACEA DMQaksMAAAAoAQAAHgAAAAAAAAAAAAAAAAClVwAAY3VzdG9tWG1sL19yZWxzL2l0ZW00LnhtbC5y ZWxzUEsFBgAAAAAdAB0A3QcAAKxZAAAAAA== ------=_NextPart_000_00DC_084E6794.0F9D1BEA--