Return-Path: Delivered-To: operation@sej-global.com Received: from ls277.radcom.hosting by ls277.radcom.hosting with LMTP id RhG3FTuQE2aEFwAAQUtCww (envelope-from ) for ; Mon, 08 Apr 2024 10:05:39 +0330 Return-path: Envelope-to: operation@sej-global.com Delivery-date: Mon, 08 Apr 2024 10:05:39 +0330 Received: from wlink00.wlnet.com ([198.44.196.49]:62922) by ls277.radcom.hosting with esmtps (TLS1.2) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.96.2) (envelope-from ) id 1rtibO-0001YR-0B for operation@sej-global.com; Mon, 08 Apr 2024 10:05:39 +0330 X-MDAV-Result: clean X-MDAV-Processed: wlink00.wlnet.com, Mon, 08 Apr 2024 02:35:32 -0400 X-Spam-Processed: wlink00.wlnet.com, Mon, 08 Apr 2024 02:35:31 -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 md50910012225.msg; Mon, 08 Apr 2024 02:35:29 -0400 X-MDRemoteIP: X-MDHelo: X-MDArrival-Date: Mon, 08 Apr 2024 02:35:29 -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 / 08-APR-2024 Date: Mon, 08 Apr 2024 02:34:27 -0400 Message-ID: <001801da897e$cdb66be0$692343a0$@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_008D_0215C827.02DD46C5" 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 08-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)' -0.0 SPF_PASS SPF: sender matches SPF record 0.5 SUBJ_ALL_CAPS Subject is all capitals 0.5 KAM_NUMSUBJECT Subject ends in numbers excluding current years 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 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_008D_0215C827.02DD46C5 Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: 7bit Dear Sir; Good Day Kindly find attached Noon Report 08-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_008D_0215C827.02DD46C5 Content-Type: application/octet-stream; name="CHARTERER NOON REPORT 08.04.2024.xlsx" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="CHARTERER NOON REPORT 08.04.2024.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 BBQABgAIAAAAIQCquYsMzQIAAEUGAAAPAAAAeGwvd29ya2Jvb2sueG1srFXfb5swEH6ftP+Bec8U TIAQFFI1C9EidVXVde1j5YITrICNbCchqvq/70xCfqx7qLqhxI59+LvvvjtfhpdNVVprKhUTPEH4 wkUW5ZnIGV8k6Nf91I6QpTThOSkFpwnaUoUuR58/DTdCLp+FWFoAwFWCCq3r2HFUVtCKqAtRUw6W uZAV0bCUC0fVkpJcFZTqqnQ81w2dijCOdgixfA+GmM9ZRiciW1WU6x2IpCXRQF8VrFYdWpW9B64i crmq7UxUNUA8s5LpbQuKrCqLZwsuJHkuIewGB1Yj4RPCF7sweJ0nML1xVbFMCiXm+gKgnR3pN/Fj 18H4TILmrQbvQ/IdSdfM5PDASoYfZBUesMIjGHb/GQ1DabW1EoN4H0QLDtw8NBrOWUkfdqVrkbq+ IZXJVImskiid5kzTPEF9WIoNPW5AVHJVj1esBKvX870QOaNDOd9KC2A1lbeSrUm2hTthzI2MO4Vv tbTg92xyDV5+kjX4hMjyfUnOABT3nngmY/z04gXeYIxT3+5fuX3bH3vYjsJxz8ZXke9HfS91v01f QRYZxpkgK13swzHQCfKDv5h+kAYsEJWpw3jF8iONF3f/2Gb+Y+hsryYcc3EfGN2oY+BmaTWPjOdi kyAbexDU9ny5aY2PLNcFKDdwfXhlt/edskUBjHEQmU1IsGGWoDNGkx2jKTy2Gc4YOSeU2hYB1NrZ 4m1ab4Tg1h2thdTQkEwPaZWGXMbGkZzlbZ5Oj7DKvG3lRJOTI3BvoZ9pyFrB8pzChTkgeEYap/Oe 0znjNDdVBVxOVntGgEvR6OtdOv0ydE7MAHF+NCNlBmVlppbzALvewLiijb5Wup2tlWQgF/bdq747 8G037QW2Hw08O/J7nv3Nn3hp0E8n6Tgw9WJabvw/Gg9UNg7irpcblgWR+l6SbAn/AHd0PiYKpGq1 dYAvBNexdrpTo98AAAD//wMAUEsDBBQABgAIAAAAIQB9XsnuOAEAAAUGAAAaAAgBeGwvX3JlbHMv d29ya2Jvb2sueG1sLnJlbHMgogQBKKAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC8lM1q wzAQhO+FvoPRvZbtpOkPsXNoKeTaptCrkNeWiSUZ7aat377CkLiBoFyML4JdodmPkTTrza9uo29w 2FiTszROWARG2rIxdc4+d293jyxCEqYUrTWQsx6QbYrbm/U7tIL8IVRNh5FXMZgzRdQ9c45SgRYY 2w6M36ms04J86WreCbkXNfAsSVbc/ddgxZlmtC1z5raln7/rOz/5uratqkbCq5UHDYYujODygGT1 l269qHA1UM7ieOzyhkBnsUdm/DLNYkoa8i7BSDKUfFjTEMPD3I4EabIpaX6s26MCoNGVUwv5sBO8 nnRmmKAzq0nvSbTyRYnGjM7IYyv0WO6nhEAlHJQf5Hw64Ahy1g7BpD5d5v3MyxDOclJvqG99Np5y BYc6NP5pbjMWRxp+Ft7FHwAAAP//AwBQSwMEFAAGAAgAAAAhAATNt4kACgAAdTEAABgAAAB4bC93 b3Jrc2hlZXRzL3NoZWV0MS54bWzEW21v2koW/r7S/gevP7VSCx4bA0YhV4U0t5GSbtX05bMDQ7Bi MNc2IdnV/vd9zsz4bWxSp8K7UYjBPhyf57zP+OTsj6dNaDzyOAmi7dRkPcs0+HYRLYPt/dT8/u3y /dg0ktTfLv0w2vKp+cwT84/zv//t7BDFD8ma89QAh20yNddpupv0+8lizTd+0ot2fIsrqyje+Ck+ xvf9ZBdzfym+tAn7tmUN+xs/2JqSwyRuwyNarYIFv4gW+w3fppJJzEM/hfzJOtglGbfNog27jR8/ 7HfvF9FmBxZ3QRikz4KpaWwWk6v7bRT7dyFwP7GBvzCeYvzaeDnZbcT52p02wSKOkmiV9sC5L2Wu w/f6Xt9f5Jzq+FuxYYN+zB8DMmDByv49kZib87ILZs5vMhvmzEhd8WQfLKfmvy318x5HRn+s4k92 7T/m+dkygIUJlRHz1dT8wCaXA8fsn58JB/oR8ENSem8k6+jwZxwsr4MthzfCj1P/7paHfJFy3Jbh c7S75qt0zsMQ7GzIRD58F0UPxOwKRBZum4iv0G39RRo8ckn+0XYRB38JSfB+co3PEKWfy1J+n8l1 KXz/S2ws+crfh+k8Cn8Gy3Q9Nb0eG1hD4qkufY0On3hwv04hKc4Kr5osny94soCbQ7KevOEiCsEd f41NQPEKN/WfxPEgOQ+snjuyHCbkTZ/JdRl0sdgnabRRd2ckes4DhhY8cFQ8HK9nj13mCgETxeRF HtCl4EE6VXKw3ohZnjMCmjuepJcBQXuRyUAxwVExYawA05IJbickwbFgMnbdwXBMotT10JcqFYa8 8FP//CyODgZiEcImO58yG5sMTUOapkdMmq0DldLXPtD3pqaDvAnECTzq8Zy5Z/1HeMhC0cwUjSd8 CPfLbwoj6De1rR7L4kIccy3mHvMrkYgrYFAM5CJpEkkS8pqcZKxJPVc0MHJO47KcT7+MAzQd4CCu wAE5ChxDDYikseFEBZBxlWauaNoAAZ8OgBBXzSC2hkORDIUDDVzHszQQkoDSWA50OGi2BuUuzZVP 4FXEVbOGJuNMktijsjE0g80VTRnHqPC8ilchDDvAQVw1YziaMRRJGYenGWwuaar2GDXbA3w6wEFc NXsU/iBy00yRlHOTp2GdS5oqjiKAKvag3vD0fkVcNXvo+VOSVLJVLT4UTZsg9zrBQVyBoyyArQeI oimi3OmNrLGjfvRQkdRV0xTmq5iGin4HthFsNePoGTijGcnUpceJulxB4RZEVRQNRfgEmYsqoR4q RajKUFE0ldzlafE0z4gqyavQRxVLN7WdqqEeLlq9m2U00iJj3Qvn6no7k3RT2ilMdJN4etekaMbC sYY9vawrHu1gdFPYWUNlZ3rQZ0Qj0YdT0zhXp9qJ3k05p3VHrbsq2jsVFZLIYcIErt6TKB7tYHRT zVlDOWe14FZEnoBRzyhaq6V4HoMlVHOpiBxh1Wrkl+s9fJiWEqfIYg0Fn9VCXxG1RdpQ/Y8m53L5 PyGshvrPaqlAEbWF1dQMHKs55W7ghLBUqa8sXvSmnykimeFYqQ8WPjZX11vFl13uAE6HQ7DV2zPd PIrILq84vdpykgREJFRWMEc6f+KUtzMnBKMagfJq0dVDSNwbiKVR9HZZXW1nknILcEIUqgUoL95H umvZavVeMYmW3ucZUSuTlBuBE4JpaASGegUlbVOtUnHS03tMdb2dUcqdwAlxNHQCw1qcKKLKwrIW J5LIQc0qVvrH4qTcG5wQjOoNynEy1HsDseVIlU0UVaunr16y62XnOlZb7HJzcEIcqu5XIqVmFEnk uLI5sAd2r2aShsX+USjdVH9amFAIVDa6anEiiRxbbkM2AHlFvbe7qfeCLYBUbFIDIgu4solr1QL+ FQXe7qbAC7aaQUa1GJEF3nFkjGh9pmLRKm053ZR3wVazxlhHoYgQpLS7rS8Csqtt4hwLiS7qumCr B4deERWRM2hGIVuDdrbopq4jbEWIlyNjWEOR13WyhesNrJo9mvbtjzS/cMxO7NFU1Gs795JIrS1t Bw879H17SdHOJt2UdXhLzSZjvYIoIrSGwibDOpCGzftj9QM5rxOTNJR0pu97i3vjYZYE0uBaDZv3 R3F0U9KpLaI6WA4SuxYkql5LHPqGzFzxaOdX3ZRzbBvUyrldM4cq5xJGLTpeUcvp8WQH6ynBVq/l NRSqVpf72bG2QzNXnKomOfawsZuC7qjFeLnDGulPVBQRFk4U6vaQ2Z6+qMpI2tTDQTdVXbCdmnTI lxC2XtUzIjkeILYl1alWVhg0lHJmueKJuXzs3vp5tWAFcct7JZ5eLjIiMRNS2W+j7+nO7SI4WkqB 4Qg1AoB5kxoj5vWQatqzkiMicrJADBl8iaMUQyk0YSJnTa6jxQNf0pwJ5THaE97w+F4MniTGItrT /Af1i/nZfCAGcwRlanV+YE1mMFzTFYYr4jv94hY0CrJdBiSQH8qRlRTTX9m0C57hgmL1dR9yI33e YZ6EP2GOK5HzRsunFQ3OwPS7OIhiTE/Rh/MzGvvah/75539+e3N1+/n7zezj1zc/Plx///hm5r59 +/asn1FgKkIwp/GIJjl+JR4ewfxaPvh9IR+F6kvyMfZKAZcYG/nhhwGONIVmPP0MtsvoAAceINU9 Z58cDwlF2ZP2LatfU8oNgyQ1DT8Mo8Ms9LcPQrc023S13e3TG+jdv6eZHjgmTn6M4ygun+R04luQ 0tyPuIhxPjo1Nb+E3E+4cjljFUcb4yKOdhfRYWtci5uq8aaZPTBmto0XtNY4tWW/MLWlFMvOzc/v Pr67fffz3Wcc8Is3P83c7AzmruI/og8QcdPAMGHspwTjHiOEKY+/rX1Mu51ETQhNbki/15WF0SuO 6S2Y1/ATOnJDzjNC+3IWbIbi0E5HaoaHJttyHSED5+9b6iPlT+k1396n67JW+F97P+zSbaqaSDGa V9MEPQttpwpMftJPRRWoq69VRfeu0RhBDU6B8VijUScI+HYqocWOrpLf8I4lXwQb8oRTZIwbzAxi ds/wje1+c4dAuOPpgfOtYRkE2IO8RRzYw8mMFtTt4GIlUYOLdrbwAPXOPqe75BfsX2eN304JO2TE HSqtypNVK/Mnf7NDAdSjH6DRV7TD7GaYUZgbU39uvO6yv0SVGbSwHrOQ7l28HLyYgYGByYx5xszB kVYm7RBinVuz6vvS7GKjgcuzja8xtOxF/uc6+0ehNOrr2ylm1NrdlZO8XhH/17ogcl+wNdI1Nz59 urlRcVLSFVrmdqoaN6jq5dqg9REYj96hRbrx4/sAvViIiW8an4YTx3K+WrzHLLg4C7nuohSj0dmn Nf5DgaPPsHro/VcRWnX1AVFLfG95ut8ZOx8NyW3wL3RZcAL0vQgs0fxNzV0Up7EfoImLJzTvHl8t Zced/8PE+X8BAAD//wMAUEsDBBQABgAIAAAAIQBxTJnVBAcAAOkbAAAYAAAAeGwvd29ya3NoZWV0 cy9zaGVldDIueG1spFltc5s4EP5+M/cfdHy5LxdAAvw2sTs0Thq3TdLmte03guWYqW18gJO0N/ff bwUsxmuVkp6nNQrefVa7++xKiMNXz8sFe5RJGsWrocFN22ByFcbTaPUwNG6uTw56BkuzYDUNFvFK Do1vMjVejX7/7fApTr6mcykzBgirdGjMs2w9sKw0nMtlkJrxWq7gl1mcLIMM/kwerHSdyGCaKy0X lrDtjrUMopVRIAySNhjxbBaFchyHm6VcZQVIIhdBBvNP59E6RbRl2AZuGSRfN+uDMF6uAeI+WkTZ txzUYMtwMHlYxUlwvwC/n7kbhOw5gX8C/jtoJr+/Z2kZhUmcxrPMBGSrmPO++32rbwVhhbTvfysY 7lqJfIxUArdQ4temxL0KS2zBnF8E61RgKlzJYBNNh8Y/dvk5gCtXX/aBzdVX7fOvMTqcRpBh5RVL 5Gxo+HzgnwnDGh3mBLqN5FNaG7MsXr+Xs+xILhZD4ws3mCLofRx/VZITMGwDZioXMlRUYQFcHmUh 7U/A2fTvwgyMwYZVGamP0eBJTuoPCZvKWbBZZEfx4i6aZvOh0Te5a3eEZ+BPl/HTqYwe5hkUF9zN 6TKYfhvLNAT+wqxMEAaDYbwAdPhmy0gVIvAveM6vTwUyF6boedzLwe9lmp1ECtNg4SbN4mVpn5dY BQq4laPAFVFcs+d5bqfXhcm0RIHk5ShwRZReDaXBvltqwhU1HdPr2g5XEWppHiRz83AtQaAltdTt lLpwLXW3CWoJ0S0h4Io+eFWSW2LAhHMX4FpiiE6F0RC/fqkH1yp+rX3n0MoLDsEAzfJ2ieMV/1Qh lQTsvTh1HAmoBlsGusLr9l5CAY4UVAPEgaC0DD9HHqpBpW52ud13VB00ZEDVbBHELf241zKIyD6+ pR93za33TXaRdrzGO7fdlJFtfEs3MPvi5sGRfWpQRs2xt1No24OQhqJGQ+/FVBLISDVANjsvb2ai 6ok1Stq/gIOUFDVKipc2BoHMVIP/4xXSVPVVHU7TIoE0FTWa1ineNtFIWVGjbL3ftMVB/ooaf70a f5t8Qc6KWssE3rVd6ZCrzparUO3b0mkw7WAY1QCbDG9ddlaxAci3HeMgC0aHSfzEYEsIdE/Xgdpg 84EDXul3ELB1UMK+kh4aQG3YG6Sw4XkcCffQeoRNTFiKvNaIeLsiRxqRXYnxvoS9K3Gswejsipxo RLq7Im80Ir1dkVONSH9XZLIv4pDpvtWI8F2UdxoRsSvyXiPi7IqcaURIhs41IiRDFxoREt0PGhES 3Y8aERLdS40Iie7VvohLonutESHRvdGIkOjeakTIXO72RTwyl08aFJKjzxoRkiP1gEEKzSWh8zXF 6JIM+JpqdEkifU05uoQPvqYgOZmyrylJj3jua2rSoziaovTofMqqhH5VNSKP+l6W5Y4M9R3rEpaC CqhLgbAyd4RoNjS12aPea4qzt/Xego5ctWX1xFhvy6o/406yeDzMbxTPfabaZTY3boU3NGAvodzM Emjds9Gf5zE8qV7KdZxkf/7xGsphpjr62TU7PT7yr49JY28BAQ4rCHXgMoDph3CwAWcyqUwepTGy hSVcRpaCAtTTzQcik8/H9Zw+KbJxoQYr4Y/dAcrk6hwOgsja0cITIEquLRzm9E3HZudkcWmBATwq Z+Aw2zE5ZySkb1qAAM9ykPHF+Zu3E//dxQ37ix2dTs59sk4VWF1dJKGLVZF0zK7dc8oPKYf8nEKx RMMODkEsQEjbfFsYLotDTy0O3ThXtjucqL/DGOhsIiV7gqTwfZNWycJRxyRFCuc7RRXobCHdiKXz Jh3kGF0ELgolVxvIilq2CedStQ9Zsj40gSC3xE9APjaBILd+BnLZFAMkF++SJn3Vgt0qrzkx7nbZ fN1GF9lxTsrqpo0yppsYvm2Il6gyJ1xhEm/vmhS3nYCqfWpSw/x4Nimaz01amBBC5C8NSXQwlF7f pd3S95sUsQL21V43qWEkVVepPz34R01aGEaqVC4HTaub75YtSL823coUzm7ZOIlmGbyaYBezGbsO oqdgBd3Wfwqi/O5kBUvnJj/gTdnLPsTN48LNvnYdxma5t3lqUsKmB4+ExFa5yuhtYf5sk26NThus OWhNONC/iL1yFdHac7DsvM6eXrmQqEfrH6/qDtbEUbKZSnYRLYh1XE/UcfzeFsfB2hCwDvVJv/Vx UdGrYqei7uKioteqFr5qmsU2r3gBUDyJr4MHeRYkD9EqZQt4x6BO7eGMIymO9fMxvH3I76pj7TiD 83j8aw5vvCQ8mdsmsH8Wxxn+AWf+CvdKZps1WwdrmVxF32E/BtGNkwjeDeSvtGB/Bpu/BPhtsDnc /x7DD4vxOgJBOKOAF3dZFNZuJAP1jiWZTPMXAVb1km70HwAAAP//AwBQSwMEFAAGAAgAAAAhAHU+ mWmTBgAAjBoAABMAAAB4bC90aGVtZS90aGVtZTEueG1s7Flbi9tGFH4v9D8IvTu+SbK9xBts2U7a 7CYh66TkcWyPrcmONEYz3o0JgZI89aVQSEtfCn3rQykNNNDQl/6YhYQ2/RE9M5KtmfU4m8umtCVr WKTRd858c87RNxddvHQvps4RTjlhSdutXqi4Dk7GbEKSWdu9NRyUmq7DBUomiLIEt90l5u6l3Y8/ uoh2RIRj7IB9wndQ242EmO+Uy3wMzYhfYHOcwLMpS2Mk4DadlScpOga/MS3XKpWgHCOSuE6CYnB7 fTolY+wMpUt3d+W8T+E2EVw2jGl6IF1jw0JhJ4dVieBLHtLUOUK07UI/E3Y8xPeE61DEBTxouxX1 55Z3L5bRTm5ExRZbzW6g/nK73GByWFN9prPRulPP872gs/avAFRs4vqNftAP1v4UAI3HMNKMi+7T 77a6PT/HaqDs0uK71+jVqwZe81/f4Nzx5c/AK1Dm39vADwYhRNHAK1CG9y0xadRCz8ArUIYPNvCN SqfnNQy8AkWUJIcb6Iof1MPVaNeQKaNXrPCW7w0atdx5gYJqWFeX7GLKErGt1mJ0l6UDAEggRYIk jljO8RSNoYpDRMkoJc4emUVQeHOUMA7NlVplUKnDf/nz1JWKCNrBSLOWvIAJ32iSfBw+TslctN1P waurQZ4/e3by8OnJw19PHj06efhz3rdyZdhdQclMt3v5w1d/ffe58+cv3798/HXW9Wk81/Evfvri xW+/v8o9jLgIxfNvnrx4+uT5t1/+8eNji/dOikY6fEhizJ1r+Ni5yWIYoIU/HqVvZjGMEDEsUAS+ La77IjKA15aI2nBdbIbwdgoqYwNeXtw1uB5E6UIQS89Xo9gA7jNGuyy1BuCq7EuL8HCRzOydpwsd dxOhI1vfIUqMBPcXc5BXYnMZRtigeYOiRKAZTrBw5DN2iLFldHcIMeK6T8Yp42wqnDvE6SJiDcmQ jIxCKoyukBjysrQRhFQbsdm/7XQZtY26h49MJLwWiFrIDzE1wngZLQSKbS6HKKZ6wPeQiGwkD5bp WMf1uYBMzzBlTn+CObfZXE9hvFrSr4LC2NO+T5exiUwFObT53EOM6cgeOwwjFM+tnEkS6dhP+CGU KHJuMGGD7zPzDZH3kAeUbE33bYKNdJ8tBLdAXHVKRYHIJ4vUksvLmJnv45JOEVYqA9pvSHpMkjP1 /ZSy+/+Msts1+hw03e74XdS8kxLrO3XllIZvw/0HlbuHFskNDC/L5sz1Qbg/CLf7vxfube/y+ct1 odAg3sVaXa3c460L9ymh9EAsKd7jau3OYV6aDKBRbSrUznK9kZtHcJlvEwzcLEXKxkmZ+IyI6CBC c1jgV9U2dMZz1zPuzBmHdb9qVhtifMq32j0s4n02yfar1arcm2biwZEo2iv+uh32GiJDB41iD7Z2 r3a1M7VXXhGQtm9CQuvMJFG3kGisGiELryKhRnYuLFoWFk3pfpWqVRbXoQBq66zAwsmB5Vbb9b3s HAC2VIjiicxTdiSwyq5MzrlmelswqV4BsIpYVUCR6ZbkunV4cnRZqb1Gpg0SWrmZJLQyjNAE59Wp H5ycZ65bRUoNejIUq7ehoNFovo9cSxE5pQ000ZWCJs5x2w3qPpyNjdG87U5h3w+X8Rxqh8sFL6Iz ODwbizR74d9GWeYpFz3EoyzgSnQyNYiJwKlDSdx25fDX1UATpSGKW7UGgvCvJdcCWfm3kYOkm0nG 0ykeCz3tWouMdHYLCp9phfWpMn97sLRkC0j3QTQ5dkZ0kd5EUGJ+oyoDOCEcjn+qWTQnBM4z10JW 1N+piSmXXf1AUdVQ1o7oPEL5jKKLeQZXIrqmo+7WMdDu8jFDQDdDOJrJCfadZ92zp2oZOU00iznT UBU5a9rF9P1N8hqrYhI1WGXSrbYNvNC61krroFCts8QZs+5rTAgataIzg5pkvCnDUrPzVpPaOS4I tEgEW+K2niOskXjbmR/sTletnCBW60pV+OrDh/5tgo3ugnj04BR4QQVXqYQvDymCRV92jpzJBrwi 90S+RoQrZ5GStnu/4ne8sOaHpUrT75e8ulcpNf1OvdTx/Xq171crvW7tAUwsIoqrfvbRZQAHUXSZ f3pR7RufX+LVWduFMYvLTH1eKSvi6vNLtbb984tDQHTuB7VBq97qBqVWvTMoeb1us9QKg26pF4SN 3qAX+s3W4IHrHCmw16mHXtBvloJqGJa8oCLpN1ulhlerdbxGp9n3Og/yZQyMPJOPPBYQXsVr928A AAD//wMAUEsDBBQABgAIAAAAIQDZ7WOf5gYAAO40AAANAAAAeGwvc3R5bGVzLnhtbORbW4+jNhR+ r9T/gNg+luEywIQ0yXZukVbaXY26U6lSpw8ETOIulxSc2WSr/vceGwgmgUCySWaSnZcJxj7nOxef Yx+b3tt54AvPKE5wFPZF9UIRBRQ6kYvDcV/8/XEodUQhIXbo2n4Uor64QIn4dvDjD72ELHz0aYIQ EYBEmPTFCSHTriwnzgQFdnIRTVEIb7woDmwCj/FYTqYxst2EDgp8WVMUUw5sHIophW7gtCES2PHn 2VRyomBqEzzCPiYLRksUAqf7bhxGsT3yAepc1W1HmKtmrAnzOGfCWtf4BNiJoyTyyAXQlSPPww5a h2vJlmw7BSWgvBsl1ZAVrST7PN6Rki7H6BlT84mDXjgLhgFJBCeahaQvmssmIX3zzgUbm7oopFa5 jVzQUyC78mLxJEy6QfDLr6KckymNMcpj/vxJ0hXrLzqkmyRPwvUH+eFD7WCzPHgBf09SEDxJrlvD 7qo8YjLp1nYFB+Wl4YmDTBRhDQ+rPPDNz2/eKOD/IL+c6XHQ86KwUKcKk4O5T/dzGH0Jh/Qd6BOU TLsNeslX4dn2oUWlRJzIj2KBwGQAHbOW0A5Q2uPW9vEoxrSbZwfYX6TNGm1g8yfrF2DwZoYo5bAt n+sY234lF7mSIANwOOAjKl6upHVeTPeFklqCbyB6GM23VZTwHo8npNnO9t/b2VkTBYLpFJeUC92y rI5+pStXuqGZDNm+PK2k23WvPhKKpcswBym558sjWPGvRxygRPiIvgi/RYEdrlqe9c7mHvuXQATA vr8M2RBj0pZBD9IbQXE4hNdC9vtxMYVgEkImToMCvGrsPY7thaoZ7QckkY9dimJ8y4cwnVIYVbTJ HFCInVScRlC1PDK3Vi4M8GrrsmOZmtVRFb3DBFhjv7n7YZBd0fmmmp1Ox9IvVV1nM64eWWX3PSJj kyJnj0MXzRFkeUjyNJHtzzQlNllWg4VEGoVqzHU89odWcpOkL2d+DtmWjlk5wypNxuY0RKpRFLuw VciXlyxWpW2Dno88Ah4X03wH/0k0peEiIgTW04Oei+1xFNo+9cl8BD8S9hiwneiLZALbgXzttOrM lEXGoVV/hoVBadUdIOeIW/VPhWuWLdfKKWHe1h6pxV9UzceBfHq+3ALxkTz0ALpbiTSvYd4uw95e wRw4QDbF6ixoQw5wkO9/osH6D69IBBCy5x5XL4CNMt1f0nID/QkrwuxnGvPTB5oLeGopbY6sru9E V5h7Swbbo1qOFuzp1F9c+3gcBohutehGH/bt6aMwiWL8FWSkG34H3iOoMEEdjWCHa6Eizr1WyoEC S6EcFQoNmRApDLoJoAjSpxuWh7OqQp2I0DlXfANtkKKgXcfpYOqALVzuK60hf5wFIxQPWWmRg/6y gqgmq3Olbk+lytweWjdYds+ipGZ6iCOCHJLWdHdy2+mSguBHzme6pUhLY2vurJqsWLcmNrSet9is 8Pj9WZtVgl/W2q8vDh8jWXDREZIqn0lXk0UWByH71CUHegSQhadLnha0rySeVjG1HScgXqDeE6fs NCP1R06qzby+Jei2kxUOF/YuK7eq4iSFMHQArXKpjE74Kl+B9rKvnHwq4xTcWmh6CrTT6un4mbpa vNJMWbPpCYnHLSS/d5ctRZ9Ttmm1y5ZC3imLx07i09zFuexm651TlKVZpro40HJJo7ND/DUN1sa0 f2awMXqIkYfnRdA+eY3WaKG0sju/bF0j9ebgcK623pzFzylmcAXFUl0LIsFuNTPej+qrla3Wugeo FnIp4vWBq07Ppd1pQ3ouSpkVW+jjL5GrE/JmgdpMrlcmpmpW582zExRSYF5c5hZY3409zzwXcuGH FmO/aSXJ0aJzYytaDdW/rY+FqNdmAGBTW1R3oH2X6tz2xcmmc6s6gID2dQDcc31sCw3SSyo7nATW AYYd0oE1ug1guPXWHFDh4Gf7uuDeEuSqOHCrRxS+xPb0Ec1ZoQ58u/3hVosFDmhkk4UOKliTLOx8 HU7UuWP70qH98vhdoDeG++JHeqLqcwKNZtiHK34VB/ZA050XVwA0OGWE54qLn8Wl0Xg86otD+FPg r/Z6oszI7JMWpQhwCf0shF1dWOoAzOsiz5755HH5si8Wvz8gF88CiGpZrwf8HBFGoi8Wv9kdb9Wk EoGPvU/gkhr8F2Yx7ov/3t9cWXf3Q03qKDcdSb9EhmQZN3eSod/e3N0NLUVTbv/jPk75hk9T2Lc0 cOaj6t3Ehw9Y4kzYDPynoq0vcg8pfGYPgM1jtzRTuTZURRpeKqqkm3ZH6piXhjQ0VO3O1G/ujaHB YTd2/IRFkVU1/RiGgje6BO5Q+zjMbZVbiG8FI8HjBiHk3BJy8aHS4H8AAAD//wMAUEsDBBQABgAI AAAAIQBICxpeFQQAAAMPAAAUAAAAeGwvc2hhcmVkU3RyaW5ncy54bWzUV21v4jgQ/n7S/YdRPnHS NeFt24JoVpRA6R0hLGQP3aeTC4ZGF2zWdtqyv37HCfQlNrT36bSoqpSZsWf8+JkXdz4/bVJ4oEIm nF05NbfqAGULvkzY+sr5Gg/OLh2QirAlSTmjV86OSuez/+svHSkV4Fomr5x7pbZtz5OLe7oh0uVb ylCz4mJDFH6KtSe3gpKlvKdUbVKvXq2eexuSMAcWPGMK/TbQb8aSbxntFZLWheN3ZOJ3lB8nG9rx lN/x9Hch+4tKSVMYE1MVEFU214G25ZYs8AAYiaTigTr+iKhEZUsK5c1HnK1zTUlh32ZMnxRMuFDA V9AjaVrez74sSDSsCwrTjBkRzBQlG7wCsJ39eaXicMOhMg5/+1CgXbxmsqYw21K6NFzGXJEU3tiU cekjLAwDnoRlzUSDyhTg5Qn5MfQH7hxg6kbutWvEMkUeiX9l2cuYcwZTukWsDT7wnT7aONvcUVFW BoKsFAzmAVQMqPxC2R3Ex5XhrXWlefHQj7tl5/uztD90RRqUHmcy22wVJqQBjNZPBF9mC622J4UJ DdmtqR2ZCZeJ3umfQy4YF/tscCQnfI2CZn+00tw3KGMCcqAv8r5sfaD9KdbH/IaX1+1ZmxO7rMt5 fcqgYLWF1DkzkDVWOiFhrPIwWR5JDmtu+POELYNEUOuF9jIhMK2O6mePND2qDKJpdG3EGL2iV1k5 mB/n1mB+cqHFFYp60WhWdjKaDWyBafEJDzGyrLyTndIa0AEXC6Nl7MG0kkQDOaTJ+t5wgqcI+6PI yOroumsRa+dg9Z5r3rvoojQbWYHBpXAkvLyA9lwjQN0Fu2ypMwkqGBG24jb8jb+zMDwLAhgO26Gl GOIqq3m5w2DZ5NuAPxopXFT00O27o8h9exKBzdzeC/XtQoU+tfcFDy313wT/3XnY8r/DA0lxSqg5 +LXgKRegcNbAbl53QCV6gjirus1Wq3XZvGhWL5qf6ud1bSsGHLtSvhirU3InEi1dYW9Nd4U4N8sn F1oIsO1yoa283L/ya01oNmFcnOVVZP9rVHYcYX9NGOXzrPSTol69qEPt0v0E/Z8VeOXrqpLC8QLt RocBqBLGZoah+vUsYLPZ17TjPnpErHFKFGRp1sNc9SUjDMfgndE23xSO4dBSLIqsPdQWq0nu/rj3 LxnTM7jhfOTO3MFpdA4m7yE0fH+rg8m7W9k71/B05wpjGPZ73XjP45cnTA2fQWXUe0K/R6KkPEfZ 071a9+pNc3jOW0LXVoGVH0Tjmz9uu39GX+F36A1vx8a8OjYCrTeg0XIb1UMNfH2EBlQbbq12yNIX VfW8Vi+fbl4S2E+1f9oFIllhaV9DtFpBTJJHwjDk7iPBgRWlt0wqUYzBEv7b7yUKDx+x/g8AAAD/ /wMAUEsDBBQABgAIAAAAIQA7bTJLwQAAAEIBAAAjAAAAeGwvd29ya3NoZWV0cy9fcmVscy9zaGVl dDEueG1sLnJlbHOEj8GKwjAURfcD/kN4e5PWhQxDUzciuFXnA2L62gbbl5D3FP17sxxlwOXlcM/l Npv7PKkbZg6RLNS6AoXkYxdosPB72i2/QbE46twUCS08kGHTLr6aA05OSonHkFgVC7GFUST9GMN+ xNmxjgmpkD7m2UmJeTDJ+Ysb0Kyqam3yXwe0L0617yzkfVeDOj1SWf7sjn0fPG6jv85I8s+ESTmQ YD6iSDnIRe3ygGJB63f2nmt9DgSmbczL8/YJAAD//wMAUEsDBBQABgAIAAAAIQATxCwTwgAAAEIB AAAjAAAAeGwvd29ya3NoZWV0cy9fcmVscy9zaGVldDIueG1sLnJlbHOEj8FqwzAQRO+F/IPYeyQ7 h1CKJV9KIdcm/QBFXtui9kpotyX5++jYhEKOw2PeMF1/WRf1i4VjIgutbkAhhTREmix8nT62r6BY PA1+SYQWrsjQu81L94mLl1riOWZW1UJsYRbJb8ZwmHH1rFNGqmRMZfVSY5lM9uHbT2h2TbM35a8D 3J1THQYL5TC0oE7XXJefu9M4xoDvKfysSPLPhMklkmA5okg9yFXty4RiQetH9ph3+hwJjOvM3XN3 AwAA//8DAFBLAwQUAAYACAAAACEARdtDGTgAAADcAAAAJwAAAHhsL3ByaW50ZXJTZXR0aW5ncy9w cmludGVyU2V0dGluZ3MxLmJpbmJgoAwwsjAw3QEawT+7gZ2RgZNhFrcJRwoDIwMrYwYjE5DOYGQA krQBIHOZgBiX+QAAAAD//wMAUEsDBBQABgAIAAAAIQDFXlyQRgAAANwAAAAnAAAAeGwvcHJpbnRl clNldHRpbmdzL3ByaW50ZXJTZXR0aW5nczIuYmluYmCgDDCyMLPdARrh/L6BlZGBk+EVVz5HCgMj Az9DFAMTkIaQPgypDCVAmMpQRKF9IO2MUDNANBOU/x8I0I0GAAAA//8DAFBLAwQUAAYACAAAACEA gMgq3/kAAAA8AwAAEAAAAHhsL2NhbGNDaGFpbi54bWxk0ktLxDAUhuG94H8IZ++kzkJEmg7j6Hi/ z3jbhTROC2lSkiL6782mRc63KeRpOA19Uy5+Oie+bUxt8IoOZwUJ602oW79TtN2sD45JpEH7Wrvg raJfm2hR7e+VRjuzanTrRZ7gk6JmGPoTKZNpbKfTLPTW5zdfIXZ6yMu4k6mPVtepsXbonJwXxZHs 8gCqSiOiouXdnESrKD9dPgrJ0W9Hn+QG5BrkCuQS5AJkDXLOBT4Fc1cw5AwE95zCniWXDw6fHN45 vHHYcthweOHwzOGJwyOHBw73HKbaY1XIDJUhKfSDfFAPSuBv5yd9/QdyuvfVHwAAAP//AwBQSwME FAAGAAgAAAAhAKM09Dy+CQAAnDIAABMAKABjdXN0b21YbWwvaXRlbTEueG1sIKIkACigIAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOxbS4/jNhK+B8h/ELRnW5Ys27IxnmC6nQYaOy9M 92R3TwOKpNvalkWNKPUDwf73LZJ6S7Zpdc8cgiSHtCVVsapYL9bHvPntaR8aDzThAYvWpj2emAaN MCNBdLc2s3Q78szf3r7B6QqzKKVRevsc0xu8o3tkwMNva9M09qj8b+2jj2hP1+aG4WwPZPKr2tvr zdqcPE1s+HcyuVx4G9fbbC4uHG/q/u55s/ns3YXtLDbL5dVm1qb9o5S282pDOU6COJXKXCYUpdRA RkQfDZILMm5zu8EsBkHl49wOQjjfs+fzmbvcuv6MLFzf9zx/4ZCpP3Vny6XtmwYYLuIrnK7NXZrG K8vi0ix8vA9wwjjbpmPM9hbbbgNMLWcymVt7miKCUmTVLFEw2qMhjOIEpE/SgHLJ/F2aJoGfpZSb b3/95c0TJysllZGi5I6mYlN4jDAofL7Q1VrSWAljoHuaZFT+3AY0JFyYzl1Ona03J5P51t5SZ+5M p3Q6nzhTf2Hb7mxqGhF3lMtEfFr84ao/lFVB8FLCx8fH8eN0zJI7YUTb+veH98oBC8s9cf1v45cq ruQDBdamh8nEtj1nBO6BRu7UJiNvgb2R42+Xc4/4xEHgoAXBFAzjE9dbLPwRQpPJyHURHvmu7YyW hHqT+WyJkAvGKQhcWMF3CQETjmZTF1ZY4tloOUPzkbNAc88h8ylZ4HKjg33MktSIqi3WEtAqHKVL ryXvEXot8Ut6GlKRKaQCa7PmbIWAEE1xSJ9EBiqdm37PIF2Vv5s8ipj/gCJ0J5mXxurhhcKwYFuw Seh2bUpnJSH+BrnsmoCvB9EnjLMEvG5idqTvIfmahAOoPossx1PtFaerItcKA2kuOF19Su6CCIVX QUhFctCmu6FJgHT1mq6u+ZVY5oi9bnYooeRfQbr7ykF1bUFEylcZX5vkCxVBIlTWJHFXHxmLvlAR YNokN5m/D9INlKA/UCiTZMdxLJGgc7+Tf7fcUj7LnVH4pvzNaz6vTyRr06maoJfRcoGuWLLf0C3K QigD3zMUBlACID5+cAYn+yrdn6643RRgpRAe4F5KzBjrFYQg2rIYpTtRghbWZ5SkEU0uoSVKWFjV 2m4K1a6yBwU9kl91mB8X/EDy/VZPd2gVRIQ+QTWCwh2EIfJDaB/Kuk8CHofoudnuGdcbo/B6tCL1 rux2R40HERAG2xop/Cg0FzSI8+AuosRIGbwLuBGkdK9atgDazwRSiFqoJSF0euRTFD7ncpV+DhsS 0nrBSCiHDgmLBtHwEQdFwJ9Wt/QpValJRViDrB2EImabdaYSRqX60mLLsywm26iGraAG7FEkimIY RPelUZq97C4ghELvXu7IIUsVwh0wVk9JzB8JPwchyur4BL/EeaFmwa9f3lcd59GiLKUQMahMD14S kG6FbHvaAUet9fumoZjKnhf2OLrrGF8y6c+h4ABKpzLNdnXXSbbHnKNe0UsXseHAdSqqckIIkK6L /JPSWEQO7AYiRIWKtkc0JXphEF0wFlIUvSCOui1AZSbopE+ZSZEbooWQdmrGQR/zHxIJ0L18gJoY 6MYDfH8N1aXVV8Cp+qloM7PIZxnkYHKsfa23BV0v3FRZui9Qjve0oltam+8wBilkQ1qFr+jVOi2q ZvDmDFW72g3erkwvaH/aPdNrxbsSSau50jv9/d1c/dWbq9YxrUpxtn63kB/xBG29K2qw/slNUPcg WWnmnNasn7yuXPuLn6xfeeCt1BKTrBMNcY2KFGelEWw0zEwbnV5fwVIn7HPV/JjtfZq8oAoXR3Uh Y975266SuN7q1z8rVfsoylifals4LCI4J25gXknYY9Sjb8HwXIUvdwwGrGVppBEMnBMkO3x5zlib /4HzXtVAdt+D1FVrWDshVEfuMw8EjZlEZcWFRoDXpxmd8K5e/mTnb0xMKoU0ToQdynpI117+UIXO qNJaM0vj7yr9V6/SjYFf5fEaJ3pBaZSzwpyUAp5RHtBDmOuuzT+9+Xzu2HN/5Mwm7sgl3nyE7MVy 5PquT7fEnxMb/68nUbZEqw4xWxRyBcbwHXu8EoDM2rwNUphznhte7xm7z+KXnOU608/SiI5Go9Md noqqgoM9qCjm7qo41XNJm2Jg3SzI4PRxHeEw48FDPq8qx/0ym5xfJs5IQq3BHkB8EYwrVQ3lEgkD DO8eMI0OrJjQUR2mO5GnUAEXNma5WVSb5vohw/flmPcfMKzOR6eduelwKQdNjIPToN8oiHiKAB4q pr2kmvbGWRJKSxJs5Vbilj22repb8K7arLlOIN+UXzKYx52YIhdtusX86hB/cFp8RDY18X7PsGxw ylVJ5sOEELOESp3yubgFhuXWd9AQptZTa+JaE8cieAzjgaof0pKiUPg1lpe8mjI0x6lCjc8lrl2M Ky5vv7VelC1dbXKZo4fdj4u4PoTyEbzC4r4AS44MYuwD+BXBUinFQWAgjdlFfZRzmMMqgCluKjCU MyVQ05nGjYIjy/dMSas+X+XVxkQ/n/0a8sTZj3aC6VJZZI6pXTtN9BwmVJE6yJ5n/n8pbkNvmnat nbPO2xhl2Hv6/MgS0gYkm4t3rXpQlxBFdxmk7iGyQNTTO5Y8H6XVkEVplt92eR1mCX0IBCZwJrcy LKOIpTKnFU8KkKN4aBz451bARApQgtNqIEzEJa4E5zw4CAuUiaMHeMYSoxCSjw0BQ6E4DgWBgDKA CZT0mAGwAfiWAbXWyGK4qwM4gkKi1BJoC5FuUIR3JbPxr7/0iabA2rYW6ilqaHsaYAoRTz/AnSwB sF68ePflFYUiZe1ztoPcUeFCN7Bx2aD40MK/Vc1RbvGi20zHodBTZzqNXuk1IeUSRte425TbpllF BbYD4Zi/64B7qyZeUCKa0jlivGoABo168lb4cPF9a+mCuoYVDKXtucXSWVkI0roOAfcUG7eEDsuq kmAvMLISIDEAiMdUPQCKCInOJG4CIPrkF5vLd5wzHEDKI79D75A+D95u4JVzOFzEazBU2wXaGwFW KOMFEiXcogKXUguUVxBz65bf5a50jE6b5OaZw8WB67z9lxeb1F6eXq0wKRSFQ3RC25NuVumhPKWt fVmmmxt+WMA2mwrHO49Dj20GytI2lSabZp6qPG9oqlKWfVnCUjwKh/lCtzQR9wpbVVEn9eWciBjy 1y98nUMLeMlgWgAlBtOKznyozOIu9lHaV0jWPTtd4Mb6afPgVg9mJfZ6ODFs9nBi2O3hxLDdw4lh v88nvhUjlcFFSlDrX5U4VaO0sngzV5UCDE1VgkHPNVud3CDXbo8WfkRHVMk4bH/FdZCTlDIZlNcm rL7/v+Tt/wEAAP//AwBQSwMEFAAGAAgAAAAhAID1/LLVAQAAugQAABgAKABjdXN0b21YbWwvaXRl bVByb3BzMS54bWwgoiQAKKAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAtJTbatww EIbvC32HRfda+SCfQrxhSbIQaKC0KeR2LI13TS3JSHK3pfTdKzspJc0u25L0yozFzDfz6x+dX3xV /eILWtcZXZN4GZEFamFkp7c1+XS3oSVZOA9aQm801kQbcrF6++ZcujMJHpw3Fm88qkX40YXvzVVN vudxFWVRltM8XqeUZzmn5ZqH8LrYVJs0SYvL6x9kEdA6lHE12Xk/nDHmxA4VuKUZUIfD1lgFPoR2 y0zbdgKvjBgVas+SKMqZGANe3auerKZ+HrI/YOuehlNro+2eUVQnrHGm9Uth1CPgobBCD9N0TBjt A+7u24CEvVrVwYYBre/QsYm09t52zejRnWLs9/vlPp31CALE7P723cdZsv/S3NGipZBRHJcJLXgD lKexpGUhSpo0bZWXspEJZEeTeSN5WRQNBYgiyjkI2vA4oZXEMsqzCoCnx8kNl7LFhGYpD+RKZLTK IKdJAXmZyDyVhXi5FvLRZbegYYuz33xwwMnr+WXfg8bqdGsG8LvJYQV7D9ZrtJfBX9b0f135wGIM ID6HLp8Z1yL97bNTmgyj7WdbScGwn0d2LF7G7F8SPVrlTmYcFqkLe2Y19Mw0cmKyP/Z5ip+8N6uf AAAA//8DAFBLAwQUAAYACAAAACEA181x+QsCAAC+BAAAEwAoAGN1c3RvbVhtbC9pdGVtMi54bWwg oiQAKKAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAApJRLb+IwFIX/CsreOA/nATLu oqgjpGkZlZnR7NCN7VBLiR3ZZqD/fhxaHhqxAFXZeOHz+dxz7w192Hft6K+0Thk9i5JxHI2k5kYo vZlFW9+gKnpgtJ/21vTSeiXdKCi0m/az6M37foqx42+yAzfuFLfGmcaPuemwaRrFJU7juMCd9CDA Az5Tok/M3qkTaLfbjXfZ2NjNIEvwn+fvqwMbKe08aC6Pqp7f9rrSjenBvw28Ev8A67W0j0Z7a1oX MSoM33ZS+2fQsJHDidFXqaGTT6qVHxZnEakFqcqyRgBxjAgBjmqSpGgiZBUX+QSAZMGZU1Ot2lnk 7VZGmNEXY/Sr7I31R1BVEyEamaI8I4DIhOdokkOB0hKKKhVFJkoesSROU4rPakaXdqM0tIOnl+Dt i74W7mmg3UVhL4biTyGjq23dKT8HL39Duz35ubG8IksImWRJlmY5xf+xGJ1/9uTne39fpcGj0aOP xCm+xASodFz1Pgz5F8NbSavuzS4JVR5kjK5Fy9fB2kKcZoKLOEmqFJWkDjORJQJVJa9QWjeTohK1 SCGP2Hz5+IwSUlRlGocvjE1M8Rl2Cf5lT62tbmLToGDDLruwzGF1pR9mFtrDGi+/4XUL72brHU7y IdWFeJVC2TG4fv+wmM+uWhuQh9DtR+rXCxi6crxwWc5Bja8tJ778E7F/AAAA//8DAFBLAwQUAAYA CAAAACEAsoGh8VcBAABgAgAAGAAoAGN1c3RvbVhtbC9pdGVtUHJvcHMyLnhtbCCiJAAooCAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACkksFPwyAYxe8m/g8Nd0ZLKYVl3eI6TbwZo4nX r0C3JgMWYMbE+L9Loxc1O3kiD/J+733AavNmj8WrCXHyrkPVokSFccrrye079Px0hwUqYgKn4eid 6ZDzaLO+vlrpuNSQICYfzH0ytsgbU17vdx16l5IKXokbzJttj1kvKN6yusK8r285k7LtG/qBihzt MiZ26JDSaUlIVAdjIS78ybh8OPpgIWUZ9sSP46TMzquzNS4RWpacqHOOty/2iNZzny/3oxnjTzlX O4fpT4qdVPDRj2mhvP0O+AJbk2CejpxCrhLSZCIi/4BObvQnSIeZ3pIHCMmZ0HuXgj9eJrNBM9G2 AwYoS8wYKDywimKpjSh5IwFYfbGWGJjWo6G4qRlgJlWDZQMc0xa4oJrXulWXzUqXVZVfrWVDNteV xqJVAtNhlFzoQVNoZjP5deuz/vEr1p8AAAD//wMAUEsDBBQABgAIAAAAIQC9hGIjkAAAANsAAAAT ACgAY3VzdG9tWG1sL2l0ZW0zLnhtbCCiJAAooCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAABsjjsOwjAQBa+C0pMt6NDiNIEKUeUCxjiKpazX8i4f3x4HQYGUep5mHnYkvHUc1UcdSvKd wRNnGjyl2aqXzYvmKIdmUk17AHGTJystBZdZeNTWMYFMNvvEISo8dvC1abXBWF3SGOyDVF8xPbs7 1dQ5XLPNZUkh/CAeb0HXJx+CF/9cxwtA+Dtu3gAAAP//AwBQSwMEFAAGAAgAAAAhAJ0HijLyAAAA TwEAABgAKABjdXN0b21YbWwvaXRlbVByb3BzMy54bWwgoiQAKKAgAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAZJDBasMwEETvhfyD0d2WEjvBDrZDXBHItbTQq5DXscDSGq0cWkr/vTI9 pT0ts8POG7Y+fdgpuYMng65h20ywBJzG3rhbw95eL2nJEgrK9WpCBw1zyE7t5qnu6diroCigh2sA m8SFifMqG/Ylu7ySe9GlsjtXabE9FGlVXcq0eJa5FNVenMvdN0si2sUYatgYwnzknPQIVlGGM7ho DuitClH6G8dhMBok6sWCC3wnxIHrJeLtu51Yu/b5vX6BgR7lWm3x5h/FGu2RcAiZRstpVB5mNDH8 nnONLkRO+JyBrzWI8bbmfyCrfnhC+wMAAP//AwBQSwMEFAAGAAgAAAAhAGNbDYRcAQAAkQYAABMA KABjdXN0b21YbWwvaXRlbTQueG1sIKIkACigIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAOyVXU/CMBSG/8rCNa4bEgykKzEQlRjQCHrflYNr7MdsO+L89Z6NgMGExCuuSJN+nfb07XnS HjrW3l4JawKYsKpLGDPqSxi9gAC5BeejL62MH+Fc1ilCKEeEeFGA5j7WUjjr7SbEwmriC+6gtNIE Alt05juM7r0wuuAa2NSKSqMpmk2jezDgeLCOktZGl7URhbNGfvMgrWH7sa08JX+NtJHK0iRJUkra Pl3CZwVGwKLSObjWhvuOJ+mrU4yStr71HnSuajY/XONps5EC4r3MOTf8HRrB3egNQ4GqsnQQJ03p RpNKhcpBZqAKjqtu9FzlSopHqFf2A0x2k8IwF5Cm2PZ7Q0HJ4UQ6Udz7/xwczxCMM1w1ombrB27W CjBkOwd0ygPH++yaO6lwLQ4Pnd/wnwFE7zQIZHQB0byms7yI/mkQyOgC4mwgBqdBXF9A7PILfldH 6Yb9AAAA//8DAFBLAwQUAAYACAAAACEA6eWCFekAAABBAQAAGAAoAGN1c3RvbVhtbC9pdGVtUHJv cHM0LnhtbCCiJAAooCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABkj8Fqg0AQhu+F voPMXdeoSWNQQzAWci0t5LqsY1xwd2RnDYXSd+9KT2lPwz/DfN9Mdfw0U3RHx5psDZskhQitol7b Ww0f76/xHiL20vZyIos1WIJj8/xU9XzopZfsyeHFo4lCQ4d6OdfwlW67bHMq2rhrt3lcpOkuLvO8 i3ddV57SffnSFtk3REFtA4ZrGL2fD0KwGtFITmhGG4YDOSN9iO4maBi0wjOpxaD1IgtMoZagN1cz QbPe87v9hgM/xvW0xel/FqOVI6bBJ4qM4FE6nEkHON6DgkE0lfiDXfPD280PAAAA//8DAFBLAwQU AAYACAAAACEAS7Ca+0MBAABRAgAAEQAIAWRvY1Byb3BzL2NvcmUueG1sIKIEASigAAEAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAfJJRa4MwFIXfB/sPkndNtLYrQS1so08rDObo2FtIbluZiSHJ ZvvvF7V1FsogL7nn3O+eXJKtjrIOfsDYqlE5iiOCAlC8EZXa5+i9XIdLFFjHlGB1oyBHJ7BoVdzf ZVxT3hh4NY0G4yqwgScpS7nO0cE5TTG2/ACS2cg7lBd3jZHM+avZY834F9sDTghZYAmOCeYY7oCh HonojBR8ROpvU/cAwTHUIEE5i+Moxn9eB0bamw29MnHKyp20f9M57pQt+CCO7qOtRmPbtlE762P4 /DH+2Ly89U8NK9XtigMqMsEpN8BcY4oMTy9+cTWzbuN3vKtAPJ68fqMmeB93gIAIfAA6xL0o29nT c7lGRULieUgWIZmX8ZLGDzQhn93Iq/4u0FCQ58H/EpM0JP4sS5LSNKHpbEK8AIbc15+g+AUAAP// AwBQSwMEFAAGAAgAAAAhAJ6bIgmNAQAAIwMAABAACAFkb2NQcm9wcy9hcHAueG1sIKIEASigAAEA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAnJJPb9swDMXvA/odBN0budlQDIGsYmhX9LA/wZK2 Z06mY6GyZIiskezTT7bR1FkPA3oj+R4efiKlr/atFz0mcjGU8mJRSIHBxsqFXSnvt7fnn6UghlCB jwFLeUCSV+bsg16n2GFihyRyRKBSNszdSimyDbZAiyyHrNQxtcC5TTsV69pZvIn2ucXAalkUlwr3 jKHC6rw7BsopcdXze0OraAc+etgeugxs9Jeu884C51ea786mSLFm8XVv0Ws1F3Wm26B9To4PptBq 3uqNBY/XOdjU4Am1eh3oO4RhaWtwiYzuedWj5ZgEuT95bUspfgPhgFPKHpKDwBlrsE3NWPuOOJnH mJ6oQWTSKhum4VjOvfPafTLL0ZCLU+MQMIFk4RRx69gj/azXkPh/xCPDxDvh/IgxiF/YxcRzyCOu awdJVMDw5hHjXjLOPwDfXHii+24bb4DxZcGnQ71pIGGVb3I8wHGg7/Jukx9CrhsIO6xePG+F4Ts8 TH/eXFwuio9FvvRsptXr7zZ/AQAA//8DAFBLAwQUAAYACAAAACEARTnmeUIBAAAzAgAAEwAIAWRv Y1Byb3BzL2N1c3RvbS54bWwgogQBKKAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACkkT1P wzAQhnck/kPk3bXjJMSuklRN3KJuDIW1yofTRortKHZLK8R/xxGUioEFxtN79+i5u2Rxlr13EqPp tEqBP8PAE6rWTaf2KXjeriEFnrGlaspeK5GCizBgkd3fJU+jHsRoO2E8h1AmBQdrhzlCpj4IWZqZ i5VLWj3K0rpy3CPdtl0tuK6PUiiLCMYPqD4aqyUcvnHgkzc/2b8iG11PduZlexmcbpZ8wS9eK23X pOCNRwXnEY4gWbEC+tjPIQtYDDHFmOSkWLPl6h14w9RMgKdK6VYvtLJOe4JuGkc92Xk/vBo7ZviM HQNjXMSUh5TzPCc0CFeURg/RMvdJzBlb8yhBt5kEXa3+6Rdc/XZNX+/ccTfNxgr5eOx+SpKYhriq piXjAIaChpC1hMEWUyHKirEqpr8Jotu3sw8AAAD//wMAUEsDBBQABgAIAAAAIQB0Pzl6wgAAACgB AAAeAAgBY3VzdG9tWG1sL19yZWxzL2l0ZW0xLnhtbC5yZWxzIKIEASigAAEAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAhM/BigIxDAbgu+A7lNydzngQkel4WRa8ibjgtXQyM8VpU5oo+vYWTyss 7DEJ+f6k3T/CrO6Y2VM00FQ1KIyOeh9HAz/n79UWFIuNvZ0pooEnMuy75aI94WylLPHkE6uiRDYw iaSd1uwmDJYrShjLZKAcrJQyjzpZd7Uj6nVdb3T+bUD3YapDbyAf+gbU+ZlK8v82DYN3+EXuFjDK HxHa3VgoXMJ8zJS4yDaPKAa8YHi3mqrcC7pr9cd/3QsAAP//AwBQSwMEFAAGAAgAAAAhAFyWJyLD AAAAKAEAAB4ACAFjdXN0b21YbWwvX3JlbHMvaXRlbTIueG1sLnJlbHMgogQBKKAAAQAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAACEz8FqwzAMBuB7oe9gdF+c9jBKidNLGeQ2Rgu9GkdJTGPLWEpp 336mpxYGO0pC3y81h3uY1Q0ze4oGNlUNCqOj3sfRwPn09bEDxWJjb2eKaOCBDId2vWp+cLZSlnjy iVVRIhuYRNJea3YTBssVJYxlMlAOVkqZR52su9oR9bauP3V+NaB9M1XXG8hdvwF1eqSS/L9Nw+Ad HsktAaP8EaHdwkLhEubvTImLbPOIYsALhmdrW5V7QbeNfvuv/QUAAP//AwBQSwMEFAAGAAgAAAAh AHvzAqPDAAAAKAEAAB4ACAFjdXN0b21YbWwvX3JlbHMvaXRlbTMueG1sLnJlbHMgogQBKKAAAQAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACEz8FqwzAMBuB7Ye9gdF+cdDBKidPLKOQ2Rge7Gkdx zGLLWOpY336mpxYGPUpC3y/1h9+4qh8sHCgZ6JoWFCZHU0jewOfp+LwDxWLTZFdKaOCCDIfhadN/ 4GqlLvESMquqJDawiOS91uwWjJYbypjqZKYSrdSyeJ2t+7Ye9bZtX3W5NWC4M9U4GSjj1IE6XXJN fmzTPAeHb+TOEZP8E6HdmYXiV1zfC2Wusi0exUAQjNfWS1PvBT30+u6/4Q8AAP//AwBQSwMEFAAG AAgAAAAhAAzEGpLDAAAAKAEAAB4ACAFjdXN0b21YbWwvX3JlbHMvaXRlbTQueG1sLnJlbHMgogQB KKAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACEz8FqwzAMBuB7Ye9gdF+clDFKidPLKOQ2 Rge7GkdxzGLLWOpY336mpxYGPUpC3y/1h9+4qh8sHCgZ6JoWFCZHU0jewOfp+LwDxWLTZFdKaOCC DIfhadN/4GqlLvESMquqJDawiOS91uwWjJYbypjqZKYSrdSyeJ2t+7Ye9bZtX3W5NWC4M9U4GSjj 1IE6XXJNfmzTPAeHb+TOEZP8E6HdmYXiV1zfC2Wusi0exUAQjNfWS1PvBT30+u6/4Q8AAP//AwBQ SwECLQAUAAYACAAAACEA4YUnmbEBAACZCAAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRlbnRfVHlw ZXNdLnhtbFBLAQItABQABgAIAAAAIQATXr5lAgEAAN8CAAALAAAAAAAAAAAAAAAAAOoDAABfcmVs cy8ucmVsc1BLAQItABQABgAIAAAAIQCquYsMzQIAAEUGAAAPAAAAAAAAAAAAAAAAAB0HAAB4bC93 b3JrYm9vay54bWxQSwECLQAUAAYACAAAACEAfV7J7jgBAAAFBgAAGgAAAAAAAAAAAAAAAAAXCgAA eGwvX3JlbHMvd29ya2Jvb2sueG1sLnJlbHNQSwECLQAUAAYACAAAACEABM23iQAKAAB1MQAAGAAA AAAAAAAAAAAAAACPDAAAeGwvd29ya3NoZWV0cy9zaGVldDEueG1sUEsBAi0AFAAGAAgAAAAhAHFM mdUEBwAA6RsAABgAAAAAAAAAAAAAAAAAxRYAAHhsL3dvcmtzaGVldHMvc2hlZXQyLnhtbFBLAQIt ABQABgAIAAAAIQB1PplpkwYAAIwaAAATAAAAAAAAAAAAAAAAAP8dAAB4bC90aGVtZS90aGVtZTEu eG1sUEsBAi0AFAAGAAgAAAAhANntY5/mBgAA7jQAAA0AAAAAAAAAAAAAAAAAwyQAAHhsL3N0eWxl cy54bWxQSwECLQAUAAYACAAAACEASAsaXhUEAAADDwAAFAAAAAAAAAAAAAAAAADUKwAAeGwvc2hh cmVkU3RyaW5ncy54bWxQSwECLQAUAAYACAAAACEAO20yS8EAAABCAQAAIwAAAAAAAAAAAAAAAAAb MAAAeGwvd29ya3NoZWV0cy9fcmVscy9zaGVldDEueG1sLnJlbHNQSwECLQAUAAYACAAAACEAE8Qs E8IAAABCAQAAIwAAAAAAAAAAAAAAAAAdMQAAeGwvd29ya3NoZWV0cy9fcmVscy9zaGVldDIueG1s LnJlbHNQSwECLQAUAAYACAAAACEARdtDGTgAAADcAAAAJwAAAAAAAAAAAAAAAAAgMgAAeGwvcHJp bnRlclNldHRpbmdzL3ByaW50ZXJTZXR0aW5nczEuYmluUEsBAi0AFAAGAAgAAAAhAMVeXJBGAAAA 3AAAACcAAAAAAAAAAAAAAAAAnTIAAHhsL3ByaW50ZXJTZXR0aW5ncy9wcmludGVyU2V0dGluZ3My LmJpblBLAQItABQABgAIAAAAIQCAyCrf+QAAADwDAAAQAAAAAAAAAAAAAAAAACgzAAB4bC9jYWxj Q2hhaW4ueG1sUEsBAi0AFAAGAAgAAAAhAKM09Dy+CQAAnDIAABMAAAAAAAAAAAAAAAAATzQAAGN1 c3RvbVhtbC9pdGVtMS54bWxQSwECLQAUAAYACAAAACEAgPX8stUBAAC6BAAAGAAAAAAAAAAAAAAA AABmPgAAY3VzdG9tWG1sL2l0ZW1Qcm9wczEueG1sUEsBAi0AFAAGAAgAAAAhANfNcfkLAgAAvgQA ABMAAAAAAAAAAAAAAAAAmUAAAGN1c3RvbVhtbC9pdGVtMi54bWxQSwECLQAUAAYACAAAACEAsoGh 8VcBAABgAgAAGAAAAAAAAAAAAAAAAAD9QgAAY3VzdG9tWG1sL2l0ZW1Qcm9wczIueG1sUEsBAi0A FAAGAAgAAAAhAL2EYiOQAAAA2wAAABMAAAAAAAAAAAAAAAAAskQAAGN1c3RvbVhtbC9pdGVtMy54 bWxQSwECLQAUAAYACAAAACEAnQeKMvIAAABPAQAAGAAAAAAAAAAAAAAAAACbRQAAY3VzdG9tWG1s L2l0ZW1Qcm9wczMueG1sUEsBAi0AFAAGAAgAAAAhAGNbDYRcAQAAkQYAABMAAAAAAAAAAAAAAAAA 60YAAGN1c3RvbVhtbC9pdGVtNC54bWxQSwECLQAUAAYACAAAACEA6eWCFekAAABBAQAAGAAAAAAA AAAAAAAAAACgSAAAY3VzdG9tWG1sL2l0ZW1Qcm9wczQueG1sUEsBAi0AFAAGAAgAAAAhAEuwmvtD AQAAUQIAABEAAAAAAAAAAAAAAAAA50kAAGRvY1Byb3BzL2NvcmUueG1sUEsBAi0AFAAGAAgAAAAh AJ6bIgmNAQAAIwMAABAAAAAAAAAAAAAAAAAAYUwAAGRvY1Byb3BzL2FwcC54bWxQSwECLQAUAAYA CAAAACEARTnmeUIBAAAzAgAAEwAAAAAAAAAAAAAAAAAkTwAAZG9jUHJvcHMvY3VzdG9tLnhtbFBL AQItABQABgAIAAAAIQB0Pzl6wgAAACgBAAAeAAAAAAAAAAAAAAAAAJ9RAABjdXN0b21YbWwvX3Jl bHMvaXRlbTEueG1sLnJlbHNQSwECLQAUAAYACAAAACEAXJYnIsMAAAAoAQAAHgAAAAAAAAAAAAAA AAClUwAAY3VzdG9tWG1sL19yZWxzL2l0ZW0yLnhtbC5yZWxzUEsBAi0AFAAGAAgAAAAhAHvzAqPD AAAAKAEAAB4AAAAAAAAAAAAAAAAArFUAAGN1c3RvbVhtbC9fcmVscy9pdGVtMy54bWwucmVsc1BL AQItABQABgAIAAAAIQAMxBqSwwAAACgBAAAeAAAAAAAAAAAAAAAAALNXAABjdXN0b21YbWwvX3Jl bHMvaXRlbTQueG1sLnJlbHNQSwUGAAAAAB0AHQDdBwAAulkAAAAA ------=_NextPart_000_008D_0215C827.02DD46C5--