X-GM-THRID: 1243755542636434367 X-Gmail-Labels: rsgb lf Delivered-To: daveyxm@gmail.com Received: by 10.70.87.11 with SMTP id k11cs244567wxb; Fri, 3 Aug 2007 08:33:05 -0700 (PDT) Received: by 10.66.249.8 with SMTP id w8mr2985219ugh.1186155184337; Fri, 03 Aug 2007 08:33:04 -0700 (PDT) Return-Path: Received: from post.thorcom.com (post.thorcom.com [193.82.116.20]) by mx.google.com with ESMTP id 34si15013492nfu.2007.08.03.08.32.36; Fri, 03 Aug 2007 08:33:03 -0700 (PDT) Received-SPF: neutral (google.com: 193.82.116.20 is neither permitted nor denied by best guess record for domain of owner-rsgb_lf_group@blacksheep.org) Received: from majordom by post.thorcom.com with local (Exim 4.14) id 1IGyyV-0007Oc-Ky for rs_out_1@blacksheep.org; Fri, 03 Aug 2007 16:21:59 +0100 Received: from [193.82.116.32] (helo=relay1.thorcom.net) by post.thorcom.com with esmtp (Exim 4.14) id 1IGyyT-0007OT-KK for rsgb_lf_group@blacksheep.org; Fri, 03 Aug 2007 16:21:57 +0100 Received: from mk-filter-3-a-1.mail.uk.tiscali.com ([212.74.100.54] helo=mk-filter-3-a-4.mail.uk.tiscali.com) by relay1.thorcom.net with esmtp (Exim 4.63) (envelope-from <500kcs@uku.co.uk>) id 1IGyyM-0007Uf-FS for rsgb_lf_group@blacksheep.org; Fri, 03 Aug 2007 16:21:57 +0100 X-Trace: 609825018-mk-filter-3.mail.uk.tiscali.com-B2C-$THROTTLED-DYNAMIC-CUSTOMER-DYNAMIC-IP X-SBRS: None X-RemoteIP: 80.225.211.213 X-IronPort-Anti-Spam-Filtered: true X-IronPort-Anti-Spam-Result: AoQrAH/kskZQ4dPV/2dsb2JhbAARgliEAoFBDIESih4 Received: from ppp-7-213.lond-a-2.access.uk.tiscali.com (HELO o) ([80.225.211.213]) by smtp.business.co.uk with SMTP; 03 Aug 2007 16:20:52 +0100 Message-ID: <000101c7d5e1$f47ba410$d5d3e150@o> From: "GW3UEP" <500kcs@uku.co.uk> To: References: <005001c7d3fe$e4786d80$6400a8c0@oem17oeylz9on8> <001901c7d42b$e6fbeaa0$86048351@w4o8m9> <00a001c7d43c$f4180690$0a7ee150@o> <1IGMYh-02648G0@fwd31.t-online.de> <003001c7d4d1$fcaf0390$db3a383e@Tom> <000101c7d5a4$5f527220$4e69e150@o> <008901c7d5b0$eea7c040$a17d383e@Tom> Date: Fri, 3 Aug 2007 16:15:09 +0100 MIME-Version: 1.0 X-Priority: 3 X-MSMail-Priority: Normal X-Mailer: Microsoft Outlook Express 6.00.2900.2180 X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2900.2180 X-Karma: 0: X-Spam-Score: 1.0 (+) X-Spam-Report: autolearn=disabled,FUZZY_OCR=0.000,HTML_MESSAGE=0.001,STOCK_IMG_OUTLOOK=1 Subject: LF: Re: Re: 500 / OLB test-sig... Content-Type: multipart/mixed; boundary="----=_NextPart_000_008E_01C7D5E9.765CFBD0" X-Spam-Checker-Version: SpamAssassin 2.63 (2004-01-11) on post.thorcom.com X-Spam-Level: X-Spam-Status: No, hits=0.5 required=5.0 tests=HTML_20_30,HTML_MESSAGE autolearn=no version=2.63 X-SA-Exim-Scanned: Yes Sender: owner-rsgb_lf_group@blacksheep.org Precedence: bulk Reply-To: rsgb_lf_group@blacksheep.org X-Listname: rsgb_lf_group X-SA-Exim-Rcpt-To: rs_out_1@blacksheep.org X-SA-Exim-Scanned: No; SAEximRunCond expanded to false Status: O X-Status: X-Keywords: X-UID: 857 This is a multi-part message in MIME format. ------=_NextPart_000_008E_01C7D5E9.765CFBD0 Content-Type: multipart/alternative; boundary="----=_NextPart_001_008F_01C7D5E9.765CFBD0" ------=_NextPart_001_008F_01C7D5E9.765CFBD0 Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Tom, I use the L-match on all ants, from half-waves to verticals, with a = simple differential version for open-wire doublets. Currently, I have ~3000pF across the 50R coax at the remote feed on MF = [the resonating vario/L forms part of the L-match]. Your 6600pF is a good indication of a low input-resistance and resistive = transformation from 50R downwards towards the ant. Coincidentally, Mike has just tried the L-match with my sensitive = resistive-reflectometer cct - he nulled at 5600pF. Your R_in looks like ~24R [Mike's ~28R]; mine is an appalling ~40R. Rog. P.S. I use the L-match to arrive at i/p resistance by measuring the C/L = values of the nulled cct. Then, use RFSim to simulate the ant load & find X & R_in. The results = can be verified by substitution on the bench. A really good/low R_in [<10R] will require ~15000pF or more on MF. ------=_NextPart_001_008F_01C7D5E9.765CFBD0 Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable
Tom,
I use the L-match on all ants, from = half-waves to=20 verticals, with a simple differential version for open-wire=20 doublets.
Currently, I have ~3000pF across the = 50R coax at=20 the remote feed on MF [the resonating vario/L forms part of the=20 L-match].
Your 6600pF is a good indication of a = low=20 input-resistance and resistive transformation from 50R downwards towards = the=20 ant.
Coincidentally, Mike has = just tried the=20 L-match with my sensitive resistive-reflectometer cct - he nulled at=20 5600pF.
Your R_in looks like ~24R [Mike's = ~28R]; mine=20 is an appalling ~40R.
Rog.
 
P.S.
I use the L-match to arrive at =  i/p=20 resistance by measuring the C/L values of the nulled cct.
Then, use RFSim to simulate the ant = load &=20 find X & R_in.  The results can be verified by substitution on = the=20 bench.
A really good/low R_in [<10R] will = require=20 ~15000pF or more on MF.
 
 
 
------=_NextPart_001_008F_01C7D5E9.765CFBD0-- ------=_NextPart_000_008E_01C7D5E9.765CFBD0 Content-Type: image/gif; name="OLB_Lmatch.gif" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="OLB_Lmatch.gif" R0lGODlhmwH5AfcAAAAAAAAAMwAAZgAAmQAAzAAA/wAzAAAzMwAzZgAzmQAzzAAz/wBmAABmMwBm ZgBmmQBmzABm/wCZAACZMwCZZgCZmQCZzACZ/wDMAADMMwDMZgDMmQDMzADM/wD/AAD/MwD/ZgD/ mQD/zAD//zMAADMAMzMAZjMAmTMAzDMA/zMzADMzMzMzZjMzmTMzzDMz/zNmADNmMzNmZjNmmTNm zDNm/zOZADOZMzOZZjOZmTOZzDOZ/zPMADPMMzPMZjPMmTPMzDPM/zP/ADP/MzP/ZjP/mTP/zDP/ /2YAAGYAM2YAZmYAmWYAzGYA/2YzAGYzM2YzZmYzmWYzzGYz/2ZmAGZmM2ZmZmZmmWZmzGZm/2aZ AGaZM2aZZmaZmWaZzGaZ/2bMAGbMM2bMZmbMmWbMzGbM/2b/AGb/M2b/Zmb/mWb/zGb//5kAAJkA M5kAZpkAmZkAzJkA/5kzAJkzM5kzZpkzmZkzzJkz/5lmAJlmM5lmZplmmZlmzJlm/5mZAJmZM5mZ ZpmZmZmZzJmZ/5nMAJnMM5nMZpnMmZnMzJnM/5n/AJn/M5n/Zpn/mZn/zJn//8wAAMwAM8wAZswA mcwAzMwA/8wzAMwzM8wzZswzmcwzzMwz/8xmAMxmM8xmZsxmmcxmzMxm/8yZAMyZM8yZZsyZmcyZ zMyZ/8zMAMzMM8zMZszMmczMzMzM/8z/AMz/M8z/Zsz/mcz/zMz///8AAP8AM/8AZv8Amf8AzP8A //8zAP8zM/8zZv8zmf8zzP8z//9mAP9mM/9mZv9mmf9mzP9m//+ZAP+ZM/+ZZv+Zmf+ZzP+Z///M AP/MM//MZv/Mmf/MzP/M////AP//M///Zv//mf//zP////i/JAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAEAANgALAAAAACbAfkB AAj+ACFcG0iwoMGDCBMqXMiwocOHECNKnEixosWLGDNq3MixY0GBHkOKHEmypMmTKFOqNLlgpcuX MGPKnEmz5kMIpQIdyhloVaBApQ4B1cnTJ1ChOXf+NBp0qNKeP5smLRoVKVGbWLNq3coVJYRAeqyI DWsF0NizXMiq5WJFrVizbdG6bct2Lly1s7rq3cu3r99rEUpZ+Wvtr+HDiBOL/DrYbzTFkCNLnnwQ Z+O+hSlr3sy5awSwBQF0Hk26tOmJlgcCWK0X2unXsGNXZBxatu3buP8GvnxNdNfMuYMLJ/1VT+2u j4fH3qO8dGqCvrkCby55Dxfr2K9zCWSFu/fuvKn+H/7MO/rWvOINZ8e+kHnC797T832uurX8vdkl comY/37W4sf5JyBC1gVikXsTsTegTLsRtqBM/V20n4QKPpgSbY5ZuFKBHSGYUXwalkQfX9OFKBKH IU3YEXgmhvSZcS0Oh+JIHnoEYowYjbiXazhqZB1KKpLUXY8WfXWNNdEU5hqSSh6Z5DVLPhllk0xC 6SSVUl5pZZVLokdkRT+mVKOQBn4ZUQRmwhbmSkGaNGSaDUHgGivWtGINK9fQaSeeet6ZZ51+9skn oIPu+aehgh4aKJJwOrSmS2O6WWajCEEQjSxMygKlNbNY4xqmSWoKDaeeXgOqNaKS+mmmm3a6aqj+ rZYqy6eUKvToS22m9GatBEGAJKZ2QjPLqIZCI0uSg146J6DCEuunscj+qayizRJ6JJ68HpTrS5Hq mu1AC5RK56W/ZhpqkuWSi66dgJqLKrrqgipvun6W+u01t8a0rUrcZSsQnVAe++7AAh87L7nsJkzw uQefWvC5gX6bL4Q19UupnHmaemSwwzLb8bTjetpxsAFHOyrIv1bL8aiuZjvxTPu+ZHGaERi7KZ6f fprksKbqXBies5q6s7Ai/5pxvUP3LDSg5NYaM03dwjTplwJBW3DO1/58bdZH43mnkq66KmrYX3fN Nc5puhd1TU+/FB6OCnA6qrRBQ8usx8uqnDL+3gEvm2SwHpcrLJzX8bW21LvGWLPcPzfe8eMsR874 n5QDHLmomAdcOZNE8/jlYG3TFDq3o/tnadAAW760wJA3frTCf3asuc8Cz67puJp+OenhUGs1Ie+m IzZ1jFcYVDpMx6OEYPLUVU33sivjLX301D8rMM4G+x20NcOb2D3wMYGPUnjiU9cSqra3Knnr7K/v PuOtb97zLKXgOLPxezFPUveFhyiQyZl7n/xS5zoBEnCAjUsSNA5BPIaUb0MPWY92KmSRtxFEf7kR SLuqVy2UAfCDqEvZ80r2rJR1qnsLQqG2utImCVIQIROM4UNUSJAHZnBTCisXx+qFvdlt0Br+IuTh pmLnLEAJTFj1C1HxIsgVtfWPIy88iAXx96Dz2SleTGLW1qyHQyCyK16dC5vNiqiud82KgRqiYUIw SKbEiWSCCFFjDR+kQaah7nXP4hnmLgWlToHsSH101tIUxjOcFYZ7GlqiRGwYEgXJ0Ua7miIMF/Q/ TI2xZXRiUuuaZTufDYpo0zKW0YrIpzwlMYUVYaOPnjgQSZYEPI8sCCNh4zxDts5OreOjKEnYMa/R SpQmc9UP/+SaWApHkRSZ5UVedg1jhuRGDlGlac7ntZEVzSnOYt2cSGinjN1xmwOz0xXvKDc0CsiZ CpHmItvmypK4x43tCR43vcg9wYxFJ0z+olO1VgMATwEKAHnrJ9CWlam9VQudtkHmMk/CzIIgdCNt guca71M1sZULLLxpyyC92M88iUYW/HwXP4+0LG+W9IcPjQ0gOKLO9iSvnSdCiEQNokzikLSQTLpf QWzWLgDo8oii4SlAO9VDQdrti+aUj0IzUtOENPQ9uFLITC8oHyvS05SXYc1AlCSwS/VzjKTqJ8cE urUiijOcqDplelLakJYWhI0wbSRD2tnUzVRtmIGYED99kxxR4iykI+voX0n4w1Fl6mSIVCpJ6oov abI1lQ7RKRWbAxLceUoWglHNSAEpKs39k1k+teQs+mnNwBWrU3Z67GhUG02MtDSuUIT+iBoZKxnn nSq1WTVPyfaIpH7y0beiAuhGteg17CEpqcpZakyT6dZmquSlNGwuZKgZyENKVmt2G+3XRKNPshqL u/TEotk+pVblrBRIE5HuNWDro4lMkbaQAcklocVAzw1kSd2cVW9ZAzCQbhG4odpmtYr7J9ZqRrmL 5c8zU4JBFaoXMRUdVd2CttUnrc41YRSXlbD3NyCiTb/WXBLOkBscA6f3IQ9upZgq8t7haJCTBttw QR5mxDCOkZwEjtgw+8Sp8uYGwQxtCHwPYmKGOHaiwTkfTg9bVuspsItcHdrAOAzEEgYrVcEqMmTO izxbpbgg7D0QRuA5ZMPYFsOodR3+0KQ8rNuZ0Kz0BFTGiupHN5vKx7cB8opXeBItI3nMfMaNBgls LOh5+Gxg+xW6xNguMJbVkj3Drp8Rw2WZtNBb7tzI8Mrsl/8JsdF2xPD1AqboEGaMkyHzmsBOOyo8 TdowXcDK8lby6rdyJDxf3otVM0y0owRCa0LsnAhvPEre1u6SOR0OjGyyH043JMyL7MjUnL2XFzM6 tdyJC1Dq1U06HeVoRBlbKT5tSFxKOGcklk2stfJUkfjZhXC8CK4FfQ2UbQqjhcGUWDZ22WJm5tfQ mFQpMKuTLfZQn3IjYa0NxxVWqgTaDoVleIYHH4hv+jYabBqdhnWIwdjtSUULVf3+atepPo78GvUD 4JbO+lPn5ibXYr6Gw/ucoJkbpJ3QfLatbXO+VefUCkUjWjd1iEiRZXOB9UZkABVFarAuXC9PZ7FB oi7TGU516g9hUWRlaRtP+/JYh9AD2Qz7mLpZ6SeHwNoCy470MW5uvnNeRW4gXhIU0t0icoyizmV7 dRUPBOZa0eAOLyWYzs15IAhDled+jaxVPOZXSbTaD3UpTJfbhtpSf8/dKSJJVaYUpruTzV1Lyx0m dTsz6bKzgXqcFzqBvbrr4qphhZ5Y2wB+InKkukMP0u6F3F2yYKZqbKxKt2YCfU9NmtWoGY9ZU2qK SUlaPdGyRzmDIeu4t8E8RZb+7fuHEwT4ElEt+C2vfZtYW3JIB2KHET82f0bl+UPRic3KNOFgitpK zbd9VirNkPFLe71FtnnfN0WNcXs1UUklhTb19nwDYVk+QxByVhD2UlTPV1zwMyq6ZxPlJxF6FkfK 838agUKh9xoZhymb000EgV+yImDHNmqDwkXOooIgI3eyYYAQwX0QIYAOMRhapoPBJ0V/Bxs9p3KS YyezIkYIpGrwIi/V1W3EVGdIkoG9gxWe54NORRBWOBBaJoIDsYEy4XU39T4d1jkB1FkcJi8E9VOy sikFg2ekYYNMdBGTdisBuCLDU4AkyG+g5HNEQ2i8dXBFI0J1IzYdZk2XEn3+suGFrZURWShzCWGF rzZx+JKHkUM5wLQ9fuhDsuM104KJfTRKRsc4rwcb66aBmuaDUVOHNvKDcPgSVgWDJ2QUn2h6RoM7 OUN9PBR0clNyqQMlUigTOCgTjaiFEjJXISgSvGEgivgS56cx0AIUYtEW8kdE6gcVIvRrfTQUcoY7 AfY8PRYbpUgTkZhSwGNgw7h7KtaKLoGAT7hAYXFIshAWTnJH2NhMhbEUGTNuWlhsJERnSPcay8gQ wXhr6HQ8Prhwl6GMplGC2MU9QDcsCnhArCB3XkM5q9df0cBA/AhKk4OBsKGOCxGOyAgR5cNa5/h9 WOiIpTGE9SILoAEwfnL+LPxWYGUlNAyUNAGXNXpTaHJzOzR4GgGpEAP5TDBlQwL4dAkZlBeSdL40 LKsAdNJSNlAWfUFRLTnJLC5ZGFJWOfwWLb/4EiIpE2G5P5LEVqp1kii5Xio5GoIXiq1QekVlJWJ0 O/uYMasHKGUyMG02Ox1zROnGGUPpEoFJlrwnb3IoJFqolCcxej4TdpBDVPeFSUpSdHkid+xSJs3S VVYWZ6n1GmMJljExPOr0WGhJjAC4kvxWL8UEdAokZ4qnNL/GcRa5MfrYgkKEhuD2GoOpErv5SmXC WH2nEEhpfM4xj9HibfzGMw1IQsdyFI9HeEfCPdjUWUjDNOH0k6TxmS7+wX8w0R3SRXewtR4z1IUg uZi8NDfYoiX3dWoCgz5bxTFHYxCZ2WH6BCweVnuk0Zso0YFiYnMVkVIqJJ5vFSFV53/xdV9YBkTQ UhCuB2zWaUujsk2WBTHbc0VX9Y+loZ0rwZ1RFYQbAXHk458E4p85pxlKBmfsMigbpqA4pTBE00tH QmPaVGeH6CdfqRKKeRD6GWQ1JKIR8VCTokrbMhi9dxh35aJ11kXjdIgNwzdjE4MhVjb6FSx/SRnl iRAaimnaUlfBeXMGKmS5UqKTUVmplzPwc1no4jcDczfYk4BqpoemAnmmkaMGsaN1txA+mnU/moU1 onWcYVtlGkjFByj+emRHOxM4LbeHgghON8pgNcGhLhFX2nGYz/abEOUhgUCnIkFd2ZUzULEKttgu 5Yama3hujAM405JHIuOGk6GpBMGfNEeSqnR1U6NeKuKnmiFfNHYnQRGNVlCVS3NQPTF0PwFws+Cc jUaXMCgwjXoSV3oQkLoSEFekMmV3hRlbxtesI1FR9NQsHWccpbJvOeNHh5AcA5eTxFiPv2ZECjRq dlMn2MkZrqqWFQMmeSpVFDdJEKVi2roYYXiNQDdQnLUkvRajj5cXHtkkBoJh1JikzNKvJPGs6DgT Pnivj5iSV7gRTtQZVhUvmQVOaLMoOQkxNjORn2iyBiNCFEhepTH+r6X5o5dKEWI6oPtqsWamPhYJ dDhGEJZzQjvhTYgIm1FGMP24NRA7EhKblhTbEfFmdY/UXHvwpUbagId2J085i5y4NJz4b+KijziD jV5TWGPXMUe7XEs7E083qXvXd4zVbJ1RS11ZekanOepjLSj7j16Tl3O2qP9amdlpE0f7sj2ail6K p6s0rxvBqUGDKf0yoUfSOtJXJtg4JwNXXSWFalyJn5thp6+0ErTwuRPrrC9kQVNFrWtkuvOxVdV0 MuWaQJnRJ6CEdvdVrELBPUyRZtTYnlcWDWXrEVmaEo0Kun7nEpO6NrgqS46FuBrBrTsJgRpzaqcK RCmYOwtRiZX+eIQ+07sdwbmI+RKfSwuWBxMzIpwShbpYqL0ZcaQr2DPUuyUQGr1FW2jVd30h1jfX Eq+a8bso0a+fC6uZJnE0dLyTiHuCuxLEZ4vzCA3KUjCbQy43tkUu6nNYhFPhu7k1UcAN8b2W5lRN G3Ezo7ay9adhqDTUx4Qd1FXaFL02tjqCqECdgpd/K44yLLzcEk0COoC7Y7MYvJQOnMIe9JoEJFra s6jBhjlQyrr5ecE00Rg0zCYUIUPkGSYgDFV2NY+ElV9Lok2W2DXYpbV6yGh6hDXIORr6axJHOylN vGfLFENR2x3w5iE7jBKc+sIpWmrXx566lJovOHjklDSfhr7+G8G9I3m2AzECI7BZzgq88JapVWx/ drQpYAREHeNXghqKxXdj8ktlnUnGetAFnfzJnhzKoDzKolzKpHzKohwIprzKqNzKrPzKehAIVwAI s3wFn1txuAzAupzL8PHGbPzLvhzMeRW1HVxbqWlq+tQpPndqaXZ9mRlIRsxVn+jALYN9ozGvguy7 tQG+upVgGOEd2AHO14HLXFfF1htAPGM3RaU1rCMu0ut2G3e9WKN8mqsZSTsQZUwS3Ccan9vNSMtc FaIdZTLF+mqiX7yRLblozvK+8VKjGlddmqxogNxeNJHNHRGO/GTIarwQFWc8UTu4cZirN6WLOwS9 0XNLC3P+WdSSKpBDwkHbGfd8Dfk8EkMJvug1onoHzucLbTG9EV8BFUDtazwB1EqxE0hhFUohFUKh FD4hFToh1Ed9FEFBGohr0RzxmTYdZGxMvvyTTBNtETWDR49LK6UiK0ly1rVjNLSI1n4sYxhGXIwy Gj090yJR01lNEqHcVhPTpTCkvOm7osjiwgtNwiVLT7a4iVPWOCp6hOpnggBzzTZh1RuhnXcNSQYS rY3VLXzNwZwRN55oRllEMiHzRafSPu1SSPjHOTjViW9oE3QdEoGZxt98vMrFTObr0T2tEWHN2B0E 2ljEx3rDrkRsTRY4QlQd2TShoZX9n1OFgw3FWHp3oKP+On32tzR8E4ihpKxeM3jcpmYlshkx/doe MZiyzXextG6dzBCYDRFu29m1mG+iRqFq2pc2RmOt9q99GS1lk7XHXdE1odzhJ8AL8ckN4b9g+tVg /TVqijM8s6zWq0Vc5IIJlMLjVDSlEd41Qd58RxGzfDhS21q3rRdfodRLUeJR3dRLnRRP3RQmnhNN 0dQlDtQkzhOs2qoZ/t8LUd5Td3dcpp2N6B4f/hc4oUdPst1mPUrTrElLcmpLw0eH1E1zc2yk8ryt ndzIrRDLjcMVMct16oGTPRDGgeAV8RmTGZUEdH3KIpmIfZwTbjeFTb8nQ2H97d9WjuVxtHkSFZbD CCP+ef2npcBHlmWhsVMu0NxFPeTOdAMxFf7DpjHXN47ldx3kB8HlQhm6GVGK0R1fAHcse1UYAFA3 eFN/HLVXq+Hdu8UyITcvrQCUjz4T+pvpDrHe+AwjWXg/NmsYgeFHHSUsABVUdqY6miJW74w5oUWE +QZAo1Ryje7arX7nGWHgMi3ZBaFQbcyWzOddwT45luNm0ABg8hIN/QRi7uOu5G5fcz4T0q4Rnxni EScRndxUkkXQlDHko+LrAdPrAHBF/JQkrFHq6mwNvsUpIxXc7NI+GbPsON7sMysREKdIs0og10DL o0HmdUJakcMaAE8w/SRQ3PVfhxLwG79X1YVHfgL+kFfu6hh7jBLBf7C+4w62B+I9H6XALj6lRWRV 83sF7lAiWNfS8Z7yUd1+NMpi2PZbkafh6BneBfBFdwgGxYPro8xx62Y2bnYiUI3j6xvPJFk/Wpf0 Vd4kXCAF8CK/tbWTzCbf7DHR4RxBjhFUzOlEnqRB5l7Fb6Ih7HXvJxvP730DXP4E7nhfLZCDvdto Ja+B9OI7IW4V4jAX9X7NEUNeKp3OCkHF9aO17zf/K6Re6pVv8Q2ccPqlampy8sRLU64Vc28E98QR CENco5nkwH9Cl1YjY9YpYOhjN+1p5JxU+MwOKbkiTTW1+AMh8XE/cIHqc1qcRWFLLhTYw8x8xEL+ L+esLvpmLEmz5PsROxDFI+YXYSS2/2SnMvRthrkhE5UtbfuvMi+X+N1VXucm0W768/veHPHQbqQD R6Eog9J/otKSB/6Rg4SrDxCyollrZe0aq2sJFS5k2NDhQ4gRJU5kuIfiRYwP9WTkmJALRosYP3Zc GJKkxJHXLAI62dJlxgilrgm0RtNaNFnQDhpkdVOWz2vQZgWVRXRgUaE6ewadZU1nTqQ0ERJ0evPl Vawos17tsrXhnpQUw0o02XLsVpMfr3hl6xJCIGjWECoFULfuTbt47QKQS9RoX2g/B/YU2hdo3KaF Cxdt29hlWccXN7INZIUk5IdnO2LOyjKhxUD+kUVThFBq1tPA1/genMkXJ1/XOQEwjfvX2umZA0/f 7Et4d0HUQUcPF0ucYlevls2Sxar5atmPyo1PvxYhEM9rvAHgdKr6NrTZfKfyzbkTt1SfT3H6Lcwd p1KC1OUr5Dw/4eSrlZ9DdL65bdi1rgnNvuFKy8mp02TZ6yAAEGtwtr62+26nndoT7ED3alKvpqMG MohA6vqTD7mXpLvKufo4EvEkyFgKEETR3rpmvcCiiQ22ncLbi0MNd6JRMB5/A+zAgqiiCsbpUpwP v5MGRGusFUHyCiyGkPMMScdiKm+pvmTz7jVrXCNIPKZ4k+ovmmhibyalaMPSuCinI3GzOC/+o2+r OotraLIX32SrNDZ3Ai67B1kr9MDZFMuNRxqFlGvC8mwqEiE/R1NSPiZFGu2jSzPqVMqGBpyz0q3e Cs6p2RAKzxq5wiusFb6A222u25xKcyCcBkrKR8OmIlW0PIkbdaJP98MzKycXki7TX6/SUrdX81K1 Lga7CxNBbNfrKddesTvw1iGjaTayYoljFiIqh1uLi3PtfCndUBPqc9yrZAxMp8AMqtEw7ljrqaAy FfNpYPaQWpQ1I4ukt7FghxvWoYZdurKLdjOKuKT+pLty4ZcMFK681FJ7lFZee9p2y0XP3Jewnea6 ECiO2SrXXOaMw4zix1gU0cmZY4bIOsT+gt5NSA8LmoqmWTrkceXs5mpK24/he89nti6O7OHPrCYp 2SqX6yhK6bSmOqHShLSwTQ7LC5fHhHnSNzG44wIMUp36Gjurnkc7V2z/ItIDZ45mBqtTk7i+m6PS vlN8X5XZHDquImWFnFWj0wv06Kmnmuvw5n4dNe+X6qQY64Y2jmjwi8IykXOYWHe9JdBFmwzwJDv6 u2J5JarM8NMX4v11iSBIiqrhJSfebOQnLx5B5ZN/9D3cgCeJ78ZoD7Gl0W9nyPQrAOm++68ZWl36 4JWOquns0vTLMHDVFxnzmgpeH2AEyXe30r/ni/2h3a0I5Hvvma5vCvmd/RwCAVxtyXL+21qb1NSm ub9IbW7uARJwBPITA4bPT2spYGSoB5EOavAzGbwIBNrGHrfBDVskywnyVoi+LkkQgvsioaf8dKXx iWZ/FMkhixjywbstgHKs6snjkEK8QMUwKIoL1ANhGJwWYksxQ6mhppA0rxAeSzRZTF1FqjgRBKKs eZOjisuUhpClnAxfKrvgqbhVpKl9kSI7xIoAr9FDmY0Gjzb8oRwjYsIMPS47BQnkhqZCSHCdR2lu +petuuMrP+rJPvPy3R6vQsm2cDEi/otXJB+ygECsIhCBOEQpSGnKQwSiFKk05SpVycpTjlKUpWRl LV95y1iWMpS53KUm/UjHltiRIb7+7Igwk+OS31lSjh5zYALr9jQmAoU3u8KXIHmzJprQiDU68eRE gMjHiSiTJJhsDDGVxb9uPsReakuTmQbTNgYWsTY9iYqu2kiT4V1wMNlJTTprBqeMmJMixmSLODvZ EIN+8VnYmRy3Dsm8QQ6JQi6Tn3p+ghtboU8g/vSmzTqS0DlOR6A9FCgJ38Kq2PjoJ8eTovtmERsH yq8n00xQBGfC0X8Cq0kgjcg3w+mpjOG0IaUpCABmlb6BAIyBZ9tJmBB2tIbiM0FT21dhKCVU/ljq JSX1okitiE6sLiQmY2Ko2c4XqTYJhS9VxQ0E+QWkW2XzQ2F1CDCzehVOes044oT+V13puhAZhSkw ebmLavIyELvMJEyJZcVhYbOaxt5lWrOxCXeu+teG+PROW+HpZqkTwhVxtYYGslFQXBOrB/kER4MF zxJXo9rFVutGX1IQ89R0WcyWpGqZ7KxmeYiuFdnVftZB1W3IAyEceWkvqzpNg16aWDIdajDLpVCN MJhbiKElMvoB1WfrGiXRVrFsYUIsYtWqmqek1p7OdeqNWhsXVxkmUY8yT1wGgl2/dm403NWdfVbX 103il2xw8U5jyQqea6nKO831jlqvJRDYfAdHqkIwg2k1VQFn1ljE4e9DOoushOQ1pBmOCYOd6lQF 2Uhahk3VYuuiVugWZjsKukv+c6k100HFL8NdPYlvJ9LhYRLIfyD9cCQTBxXoMS5RbXXbNheFmiPC cYgW4o1Sj7TjPt5vPrsT3yQBAeCcCvgt9x3eGhFL35PRtFcIy9XLZDUw7lhwia3A8lemh6UhJyS8 dDJJuYrsyWf9pDCniVtEFzihbuVzn2yFKGKAspQ6Z7m7b+qfpbgA5mvEac9+POlhiBIcCEaKN/HM DgWhpbi4EVGlteFmpHXbxV+FhMtTunSYHfLnbpZteWfqDW8yd6RQn7HJaBTODJFCaFdrmFjjGsuQ +wfkr1xa2qiTJFhdTdx9GubNA1uK2oxEK25RxaFL/Amx57abVifbs5mhV7H+nu1sEcMOIrhOZ+KM fV8F3leNRCvKTNHoNiPhpm77UlxBqKjuhdQ6v8z201kwjeXAUjQuanQcfJZo1oBVF5pJIfSj4TxX hCdc2eMSLlYg42OFlsJpvFEkogtTX4RJNTgha2HQpAjnn9A55HZ+NcMrlZKS5zo092KT4vDZRsBM lOVBq/iRhkfoybV1iTvPrp45FnRjoXyZpShKwSEqT+yUsWCnZqDXFThE4tWT6n6ltx6bpfC1YzvN FFx6qgNFc7T9m1cCdxQhebR2iG16i7GGO9V1zVBw0Wp4KmUpBYutr3ZamYLBAfzCm9V2r2jdk4lL kIuptVwjfsnFepGWtxb+DWx3Gqby7B6X4PG2eoUAzdeQhWhteSXZVHkHprm3L5Bm9TZDwv4hDwcR 5rES79Xrut+8b0qr0KRiQ7eWPIhFX5ojN7B8+kX4362U612CfNif1C872pVzJwebUD+oQ+x9Ck3r hrQxbh+4bzL+ScAv/BIPb7aDfRurSrtWG2uNHRGkRhI7okMr+bO1LQMR78Ovk2K6pYgV8hK05nK+ pRgsG2E5mDIMI8k2RKob3ErAH8I6jqg/oBJBhgAUM6IKvkAxi6OukImw3SCT45kcXhMZgEHBniLB i2jAOdK8vyIuhGlBWHkNizuZAss9V7kgCIEj+FsfhECP9dDBHZwPEyT+CyDErNLwN9O6CwjjkRaD r1KTlvmykeXhkZpDoodKNyrMDB60NktrwwMaOkGSFJ/wwDJyG2hpin7TwxvEqCJ5Ojn0pjfssjgc xIZYqMdhHqNTGmy5vgvcDaXTONu6w79DRJQgPqzwQYzhxGSLONqoQUjpkCNavDz8tbEzklA8E0y8 CGorqLYAC09EuC3kJxXqFzUaNdp4mjScRKa5FwMEFzZsxUz0Ke+TRWKUiLGKQihatGNLO8g7tFQ8 jzIxk79gjWQMHGnDq3fZxmwMntB4pFHLljSRmw9suXoStwM5qmCkjX77xssoPI7gqleEx+Dhul9D x8lBGL8jnhpsolD+XDT0CRneADl7tJh6/C2Q8MaDpAjriJpEOSwJ25Hl8rxEuZC4mKJvAza/aKGG RCZ466ACGpxp+0jE4bp9qcBqoR9CijBuWbJryZA308h3UildMcknIUmdnDaexEm3GLqUabGLVAzU 4hFYURze67qZ3KZjs7kr80movJux2g0FoS0J3KfV2BHBYkHE0w3bQhN8+Y6mCMGoLMtxMRVxSy1V QbsMLCrVYrEbyyhgHBSa20NWswqzzEt60bW7CA+imLGBuUj3WK2VPAwVoihG/I4LMki9bEwsEUIm vJYKnBoy6T3yIg+doL2QSSJauT6/uyDHDM03OTy8AA/dkEAGGT/+2JoxBtnM1FjBjsuQRhpG0axN 6jipNqMsx4qQgmMsMXGqxdAVbesOouMSK7NN5JQPLUENMZG4imuqqRG7SIw6nBvFbsHG5MzO0VBB 7Xgqv4gnb4GPDoSKp5iz7gAZtZEc7NRO9mwM3My5R5kiy0wqVgG1iLoto0BAeWqq6+uO9vxPrygx NZual4kz2zqKT3PHa1SgiyMjJwRQCM0K4XmUN/u1DOHIfzwQFFLP2Uw1o6kQ5zEeEWXEEV0eEw1R Ek3REx0jUSxRFF2Z9Eg7ZxwMUVKlUTKlXnIlVMLRGtXRWMpRWNIlILVRIe3RIOXRURpIBRoel4GP FV2bFYzSGLX+oHd6Dxl9HiKxlSrNUhi1UirFUgcK01XbiTD6GKKoMoM4kzQix2Hbpubrz1NTqlJ7 JKSKn/ep0/NhHwS9UzSEQjz10z7lU/fpOvjJ00IF1EE1tKEhmG7TicrQAy6wgkjVAyuoVEqtVCu4 1EzF1E21VE+1AkD4VEplF1Gd1E8N1U6tVFS1AoNQmkU8DyhC1D0l1D/FQVZZVFxM01lVVEfL1ZSZ n1vtVQxqVMXyVVHrF2hAIAP0OBAVx1CMUnJjUQNlPKtSrCd1URbF1hZVUbOJoN04vUWkS5nb1mvl VjFdqqYIBNyhmvY5tToU05RktXHd0NqzT8aJ03q1RTPzvyj+I87EuDteqSz09BDZvAYTckJ/3DtQ QzX7sgZZIiVVQoRbciVdqtFZ2tEftdiHNaWLzSUk1SWQ/ViMLVKPJaWEWNO+Q0MLxUgVUhQEZNA1 bRRGTDyNctQrpA4Q9NZzRSEDVcenO9Beu5y/mIrkoRAxaqObqpEbhVhX+lFcAlkbHSWobVoifSUh qs42G9qPW7wiKoVP7VRN1VRRHVuw/dRILdtORdVLXVtVJdtLVVtRTYgjHLbUsxyJkqLDhCG3kji3 aca2UUOHXVef2ZCNLBhGrCnlYRtHccSAtbnEeNm4SMd1rI0DOZpSOFu21VS4Ddu25dxNhdSvDSMJ Ojr24MX+gCNIaJOjNLU4mns+tPJQFdXZun2zh8oQkGGiCzyE1ZmNhEgsheDdjADetlhdxzmM81lY bHLTMYor+JA8iDKMtOpAxcmcgUzd7azO6/uRBFWeMmmFVbjZcRGXCWkkbiEal4MmWF2UjrMQpmyU fQWSlRMSRBIQE6EW1fhdFssK4W0JceGV4vwLAk2g79TFEwq+9hC3tFm02FzMNtsQOU0NdZ0PIRLG RezM8Gw6aLDeKmrTmzvOyRWSNNLb/hMYhBHPjlNHpSGjo/AJr10I+wVeGNZfrAi7KHRVxzVHLb1b 37DBvCM3D4E/hr05buG1XFwiDY4MZd2cNTRdOYOi8oz+YBf+XfvN3/uNYvwdl5ly2ZrcF+BgIiY1 Ty9lnqMSI0a00sdh4vQ4BPzwyypu4/2FSynmXb98YTl+44xYs8KN2UTK2V3xNkTCW9SYqr8L4dck XpocVqrgL9+lYireX+G1Y4U4WLplKT4uN0ZyCt11YTnG3xh2ZCuuFAcGWjYiRfiQxEKexAukVYla U/VVHqnqDkWu4hju3YboZE42LFre5DbOCJ0oWqdJq3qa3KjoYYrTT32JIJi9JjXCSKEtDCi25Vy+ 5U/e5Ya42hVjqiiqJr+dhRaWYlqOZnC+4m/+lXiFPBtOosmDufGsqGw6XqULY8O0rW7W5VmmZje+ Zzb+vt96PgmXjdyjQI0gfjKEAdG6KRKBG1TtjayLzE8AdiK8o99xHud8zueIhmSyycDXMK2Mmpui StADSWTpYGNo1udvfuTeXWQC+ZCQQVwgNiK0oRF//NAVZbx/pmmaKIhyrK5MhsuJFmdx7mmgnuY7 biLCPU6Ks+AsRT1xtRD6lMsTO8rSis/mwyi+xahnZoiRFumKPukpNlinoijmc1y+ELjcKA8oJml8 vmUYpi6hng9xGeaws1L/PY+WcjwQ5NeAkVxouTtCTT0r4+bdlWifFmxbhmZd5gjxRSRd6Va36k/J A5K2Oehx/JHXoDsAWMOJGjsF4q4FSetoXuvO9mn+IWpBl7kL8KCW0z7tB0MbaNhpepZmfTZpn7bo 6UhHQe62IcbFUERYy4oo4wlXRrw3XYVefNrpn+7qNw5t3+1pWabtiJjkpUQZvM3Q5kU7Qh7LOoWj 2FCt07oLFUPt+Zqo7yVs2NaRaZbtSH6NwkIwgOE/3bxko+DsBclqtN7lfUYSuzW1qki8wz20N6oK SSzmWJXPK+1jnOjmlnBu4ohEy0GrXrNSRXGr5ck2h75pDsmLjjYw2YItg2tdzi7vtN7n+/Zq+gQA CGua+c5MqrCyIjnrkgbx175iBTcOJ25ZfeJoRrVE/m7lJyRij24/mR2emzDuk5hxxzDgC6FPbXL+ un+tXPNc530ZNyKyRhXPwALTZ958nrm56nAOalm2YjsWoqnIQMF6KX2ZsLWasogCMtCOY/KWcZQG kQxZnlI7H6IF5iHyzi617oiic+HWz4NA8NdpXcWICm5rmvE9DK+jih2fij5+PANTkMH6y9ZqFe1t D+NeZE1/Ydhu7q6GgAKbwIg0FDKnLAIlukAgKBIyiPSAXcIwmPiETp/VOKZDWloZzykFZKOtjSOO GYMAbsrm19N74He0cF201aD1DTGRkIiUMPRqipTCOxc3DuF5LlNPMIrMFRxJupwg8kh6aydOoj/+ 5WckmVQOReiEK7sO8OxI32Se9sNJbHGUqKT+2GM0K0iALghiPz2bRBVqYUIGwT3fTFGIVs6GpdLb cptR7o3sgHfVnZH0pOGIEuA1CkWWfifFVHL4DFO67eG1CUfhuKa6IbM5DXmSF/mSH/ljRnmWP/n7 slPFDBhrskN1xA69c/RvKRqgXdRJMc9iI5QEpeSDGG/5CKO/5Y4jhKH+ZI1er6F0nE4jQbo0ZOV7 RSKaU7PGtpwvdlDsMKBUTiCAMyPpvsHjPTadP913TnREF5KxTvpqbfq2AKQCvZD2HRKcy0g19qeK X+kDZG1qZOq1gb/jXV9e9GjzOXverrk2mirFT7LFt656d3zJb3zKj/ypt9saBozFhV+Zt8T+p2NR qgZLeGrQCckXArWW1hbctpjgGZ2bdBzfvziNcHT5lad9k6993L993Vf53U9532f5oTBegjVmJlO0 IOH6VCzjLOVPtLu+yFdcyn0/D5FEdpr+6K9TJqr+YCVe6CfeveUn6KVrurMgjn/VGxaU7f/j6Lx5 nAvIKJr93Od9+f9929eJJLZF4edA43k5SBOqFQQIWdFkWRsI7Zo1VtegWZvFsJU1a9cUJkTISuLF gdagCaz4sOFBWSGjbZS10OHEgiJTDlyIEKI1iNAcdlTI0SBLkQ5jbqRJ0qbAlRl1fpx502PQg0Mx WjxpdOI1oQs7QiQZlWRHqhhVKmXKMGf+yJEVPW7FOvBnRIgdW15r6/Yt3Lhy58qFQPcu3rx69/Lt 6/cv4MCCBxMubPgw4sSK8drtinOoY6FcwaaEqPCi5coVMW/medmz5s+ZOYvuPBo06dCUIa/mytPo 650yZfcsuvMi7NlFa079OZVj5OCtH09mbbw4cuLEA5UKxNz5KuelDj1nTr35oeaBoksPlB269Ove tXOf7tz68+/bw6dnT949++ravZ+n7tw+/fv19+vvP35BU9Z0tF521HF34HjXKWhdc9EVuF50EUI4 oYQVUnihhau8FFFKGHpoIYHmiWggeA86iB2K4yWInnknGihIgRvyZM2KLoZ4iCkqmlj+I487+thi j0D+aCBCGi10CEJJFiTRkkpaoWSSBzEJpZRUQilRlVNqeSWXW2JppZdWTJlllFyS+eWWB9nVFEfX BLKkTQjN5NVOLnW0E0pPHQURn5tBVVqfo/2pWZ8UgUajUw4pelNQZ+mkEklSwkRSS7ktSRJKHS2Z Z4AuAUVpbQjNCFEgLukJqUpLrhXqQbBRuqqeTl0KK6euohrpLClVVgpfgTwJFVPBAhuVp0maFJKd xQpL0bDMOptkNHv5WiaaLlVbJbbU2tkYngyVSpFRs9RWElc7iQQSSAS1uW5EX7nbLpbxbhTvQvDW W2+TMjX15kX4vutvvDDNSZFGMgn+KOXAM4Ylbr8XgUsTQ5pmVpFyhxhFUEv9cjRZmwqtJJK6Uc0Z 8cgih/woyeKGdfLIB6vcVkYRvfknaq8d8uSXJlX7rEQ6N2tssssmyfPPTInsE1ED6pErss8eS6zT yRLdGLqkRuQxQzbxlClJPJFU1UpzVmqSxxmDJC5ENEEVVEqKbt3xVRtqXSpPbJdNUNrh9jTuUmcx tVJsRz2lcVLEjoQx4FcJ2PWbrap87LGZwjYWwWQ3dWdYikuueeaYi8w5sAUjKqecL6dFox5Pq54s sq0bTqxXrxM9+9C1owku6SLdbDvrvLsurOuyAOg1xqUeBABPawOw/PIRMT8j8gP+Rb/S9NAAkJKl BgWOPW3a6yZgvSqL+6Zv1i8fGUnPP3bN9WIjrlFXMEHUm2Rj9/ZaqgYxPSqieG/EvGbGYj4AMop5 M2EeAIQDFPQlpDi/yQlaYKaqaJRqUB+DzSxKgbOivW51wQtaB3lHO6EV5Gh7w1pUNEjC3gHvdS00 iV32hpVSmCR6CmPfkiDSvlkgD4AiuR5FWAFEiUxPVh/72tWCBZOGyagqisPJtxCyPFpQsXlLbJ8s pmcN5kGuK4tL3kfqZpWxYA5dTMxKpK4hPqWsIhoUmWIVkec1nrRPVxxp3xbzKL2tpGQs87uIH7cS yD5SZH5H8xaTcmPDnfhqhUT+82AIs/W0EVqLg0yTlb5WMq1svbCSzPrdsKBhF+0NaCJD5IkO/Yi8 iwCRfVKS4xu5ssqpKJFclXqcSk5iy4/Rbyo07AkAqChMOc4PeQ65nlYSmDyb0KZjS+Kf/ErSFaiU TGvi0qXY3lSRYAqTFgDAybl4WDWyHBOHNqkesJZYywamM4ntnIm15lRBIwkReVoJhB6gRMk4PS1n veunCAO6LCZFEzn49BklQflJF0Ilhn5TSOOsGBGDIPB/RZreLL+ZxQOOpX0V1d4tbaOUB36Knfii SCC+xs1uevM3yuRh1uQ0RPiJSyN+00xXiqI4rYyzM9EC3MaiuNJuXi+QCAz+0GwSWFSFZLR56VPf ucBWPq14byMmPEgFZbk8tBTkZrFbYZUgKdbeLdSRZZJgTvJHow0SrUoLBehbrTW8MpYqiwtB4PV2 mNc5ZXQqPZQpXhuypFYuc6KIm8r9ugUSmCnOauIa6jCTN8RWtgl5OakXGtl5QaiVRWLJmaREfGMT i0mRpVW0lPX8KshWNA+mKisqRu16vMLCj02f+1guccWRUpSloii5yCaB5taAfrC4ITQrCaNF28jF ZBVi4mBCGRrXUX7RIeQzZuYc5rw8MlWmHVnen4qqQ7QMcWRUxRhZRMbHIJIOkNE4RKQgW0VZqsSy Q0ngNXHz2/DNkb3TZCL+INn7RV7OqCX8Yp9pvbk38BJFo9O03hZ1iV+8mjPCR+GcYusElLbwr4K6 gqpKNNiWpymUd2M17iQFysFj8W9dIgkucj1ZJrhGKYYy0aTzGBJYJH4Ti/jVYxbzeDyxAeC7uhoK VsTCXiTzpk26/BMNWwLZIZryKgnUGVMnM6NCWnVjUmUnl636sHH9sS0fKeVNptxiTeHQptuMxioL gjwIR8quAkFeNI/SsM6O9Cuc6apyoUdZk0zLn/4cbuxOHEnYQTegI54mb1CXqxhHl8ZUm99uj7lf OmKkhyDxsZWlZ0pyyXGmkNsQ9/b24C++xmRd0ab0VupU6jHEwh1J7Z7+CwsaKe2ZmrHxSDM/hxs1 nm4mNKwXHL0pXhniOY9GTshfY9JsZMLZlVEhpgzDBjmzHGyxorIMb6kZlDmz+KBknbGMe8bCf54b rLUzsx21glUurBvFlSwxk4Y3m67Odicj4yF4mdq8c9YaoxH+bqxnXS/W1I8gbXPcR+ANuG8983lq MQsAhSjhzqIFiU0JM01VLb78bTYmstJIIBjiNos3EJwDlDYdA17Rq2Rx4Oxjnst11eRb/1YiNCMJ fFHtuFxCY3fCmlJchytJdi+9hSTMLroueAg9JH3RirZ06fZGcbNsdmPrq4jlcHeZRCHM32xrE1Lu F6eLZKqEjVocaYn+0nNuR87Pp+sbcxkuUmqu0TWeE3DW0fyyvgnWN4uN2a9J3iq13tq+qUqsuyyX doZkjFdRSdUCoWJuRHMQlIo+tOxUzCymXfMjHi90KK3OdHRLaZSIw+rpJqVtbF6+UsgRWB9/M3LZ 6xZdXDsYIRHr53oZ73NghtP9gsKxmqprsYHzvcojVr7bIjEkfFMj5SsyM0apnZbfo0jh6pf2pbA2 42VBSvT7aaj5+UQiM1vfZmUh4k4aV92tUr29Kc3hcKU/xM/lvL0FILE41AUZD/D1C1FAH/5cHKvl zaFgE/NJSqhsGaoxU/RJ0GaswtgNEttl361dVsN1HPhcWK8J2BH+CVAz1VSRoAx8ARWLdQ+6vNPn uJjwbdtEfVG8YcXJ7drbWQvIlMIssMh3DCF2/J/vMJTrIAvoXZ2yNBqNPMeJrMd0NAdbsd4RxpiU DA+XuclidCFgoMqReKEY8kXXedgYnuFcEMWR6IEVWAEbtqEbtuEbsmE+VRq7fUnVfZ6KSYkccgEc viEc/iGNgZ7+CQt1gUvDKdBnKaJyJI0iotbO5VQK1kYXIUXHSYZu7NxUiRZyoFYKitTz6Qb1bVsC fs+NTRUjJiJY3Ab9eKKedR/lZRYaziItIoaNhQriPB4Cdo710VPP9KLD9Qsudo4uBouAUQSeUCL9 YArdYcreqAr+YlFOgGRF+ESfYP2byGXjnMxIMgKH8bHLbRXjTtVgNIKfDqKdOUbE5liVNBoWH+EW TKCRZLhiKJKZPbqiJlqiPpZGSZUGPZoiJW7iPg5HIkIAepQHeKwHi+hIiiikiKiIQ+KHhIxIeryH QiJIRFYkET4IRT6keoiHemBkeYBkioRkQorkScKHSTaHecRHQ45kRaZkRr6kSsakfdgHRkIkTDYI fCDIkNyIEAYlRSIIkFykTCJIdEwhQ0rhgtiIUyZIUfpkikThRgphBEDAAkRAVmZlBGilV27lV37l VoIlWYZlWZLlWZ6lWGrlWLKlWbplWy5AXMblW6qlXMJlXdL+5VzC5V7apVmqJV76JVoGZl0W5mDe JWIKpmHaZV/qpWH+5WMqpmMi5mLypWUm5mESJmVm5lbSwAIoAGgqAASEJmiOJmmeJmmaJmquJmu2 Zmh+JmjCpmimpmy2Zm2epmrOpmuyZm62pmnCpmx+Zm+i5nCeJnCK5nEqwG2u5nIe52gu5266pmoW p2smZ3IqZ3Rmp3Zup3ZSJ3cSJ25+p20OQAIoQAIkAAEkwACYJ3qqp3mmpwKsZ3u+53zKZ3zS533W J36Wp3zCJ3+Wp3ryZ36mJ3ma5376p30C6H32p342qH/CZ4I+KICmZ3qeZ4Cy53omqIEKqH12KIZa KHlaaID+zqeA1meJjqh7huiATiiLrmh+Luh+vqiH/ieKiqh8nueLlqiBzqiM7uiG9iiJSuiBKiiD QqiPKiiS5miPFimJxqiORuh5DoCUCoCUqucAUCl5SqmUIkCVdimVWumVgmkCfGmXDgCXZmmWYqmV qqeaqmmYaqmZwumVommakieWzumUrqmWCoCe2imdsqmcnimdkqmWgqmfwumdoqmbvmmZymmZAiqa sqmkFiql7qmeEmqa9umYlimmHqqYLqqhVmqhJuqmjiqnfiqnnqqX0qmgAiqY8umqKqqhJiqj5qmp eumsDqqqaumZJoA6zov9RYSwdk2tvYuwAgxX1Rr82Ev+A2VNImkKuwyrsHIIQxQrlrAYushLrWlr u8gJvEiJsC4esOrMtjrrvIiKtMILh8yLNc4LTNTeDZ4rsLrXDSpr803rsiJMu4SNuuortQJr9s3L uRAregHOuWzMvOxEtwrIueJGsQFfs14jO5HMVtSawAgQQSiMwyWRa7Ca16mrv+hMt/XRCI7swWIr UOUKk0ED17kRzTlKxkxEzLINKs1RoCSPVqxf4CzKouSN2zBg+MXs2A3toIxd2M0szM7JzRato9Qs nyjt4e2UyzGMBfnNaSyK0xJP0bYTz+pNn/Ds26BE2DrGF+UNzWwt/72sYJVZzbYEpGiFLoFNO1kt SMD+LM7SLdeE3dp8jQT+CaYcjjMiUZm5lw1GmmRQoDdGVUnghDVm1sCW3Gf8rRldTkm0Yveh38MB 3wUNGFoEUWelylOUkbmgin+pi8rwT6sJjmJZkzVKTk31lNacmuAo4DzWyeYWVMxcEAzaEW20XLch YvbhBrS+Hss0kNmB7uaOy+NKE2aFkX45662FE3CQRcsd7GtIr0cQSy1uL/d2r/d+L/iGr/gSRnXs ZHcspEmir0VCpEda5EOiR0zOZHek7/uar/zKL/2KB/5qR0O2b0Jqh3rwr06eh/mS5P8a8P3C5Py6 L0jKB/vqb/62x3wUcPx6ZPzSL33QpANn5AFfcAX+I3BL+q9CcrAIwySSjC8Kp7AKrzALt/AKW54L 98WvxLBezDAN3zAO5zBieFiTSIlV+DCa/HCRBDERW4sQ9/AQGzERT0sSA7ESP7ETR3ETTzESV/ER v5cN67AWbzEX30UFDYwJYQ3VPooYgx0Yk3EYpzEar7HSOpfcqPEZx/EYy7EZz7Ed1zEe45NbmGEX ywUf93Fi/DEg73FcwPBRMK4seIAiLzLEcQzPxWKrPLIj9x4i48pamZlXtFpGaAEebNFHaTLy6VTM aI2+jHK9lHJBMDEXxkUgsMaTvGI+xUU9opZceDJe3XIJsXItKwcut4Jc4HIjHkRcWMEtL88r84b+ LOtQYH2PH++yKmYEACiELPcjLNayRNFjM8NFVplLWCgyA0jAN3+zIm+EB7huNh7jbS3MOQcI1qAO QkAM9EEOHiDQFagEMQMC0HIdyaFuPi9OLqJcLF8DDL8FNARCPYNEIHCBWQBCF/gcXKjcM8JEMv7y 8rCCRV/0RT+PXAy0W8RfhLVFXjn0W1yPWzRPYGkvXEQzKxAzAFiBRfuWSLvFQ5A0SGsRVBSyXHg0 Pam0XJwjliEENVL0rL0jsuC0NrfF336OB4AzU4czOCuyBAwACqoaO+dO5mhjVYuZm/zK4PDRugRW RegBADR0M7qjm6FuWe8zSaiyIBPEFfTyJUv+M1w4BEsvz0H/US6ndEWzgilYdF/zNQBwAU0fdVz8 RCB0QR3mFfuA9C+zT3e1j2Cfz1xEsxUEwvL4ihDZsjDHhbhEWDQvNjplM1z8BB5hWhZddE6XD8xx m1yP9Eepomi7heW5q0p4QDhPqZQ2NThLtT3arQXO3dvpxn4xCuPkk2bB4i37wR91AQCkTva83W+j j7wtirhhMSEXtvNgdPNcASCkkSw7dkZfrw7GBfNYNCJo4HmzAiIYUGy7RUPsgfrQ9FGR90iDtJzZ HHmzdGUvj2Df3CzFhVIMNkmHNmHDReH5T5pddBZzGHsRxPJEmjVXtE3ToC4XeFYcxFIzAG/+Y8WV NvUAhG5F5RFe05LtNduHBVKqtIIbb0jEIWMPLY8fUIEfjMwOpcoyn44MsVrlqIpYuHNbcDSH6ZBf C5EQtbJgyQWRD3k9YZFVkHdF/3Vf/7VGV/hDWwNzW8Nbe3Z90zd4BRYB/TIr8LEQDZBLxAX13Jx/ Nw9KvwWQnzKQ3RWRV7ZcjJRVsfQe8Jxc6JBlZ7b+XKBRv8UXa45tR7UZL0SGSwCh01H4aFQErcvj VNnE2lUDqVVBP8nXEc7x4BAAxPiMP1bUvYoW2RTk8E9KZJbCksoMt/XxaPdLQ4o1YzSsO55QW7QG mrcGMk+u/PlbWBfywPdHb3lKT/Ytg3n+Fi/5fAO4Xf3yTbR3W3TL40QztFt2Tr/tAGHbZr8FMGF2 qK8Es8Pw83rAnBbHoIezAMgPdjXQX1UUaw2WK9VcXjkVzj0K6jl6cHiy9HD6AZke9EAFRlV7fTnV QGbE7rSFIJO2RbdyYDnZaEezKZx3w0u52Mw6KwgCrUu5ZFM5tl/EWzM3aCv2YJd0mnf8zJH3SsOF sat5XLxRyCu2wgN6LZefiJc3APh6T5ssAonOnO8EABg0nxcss2eVryHF41nDnkpp/gScFN1czEdY lrF8kAGRwZ2EiInbuPxe2Gy6jKfW7QoZ03t2fdmaiQsYQMt2LXcBfMN6Rl9BIOxBTqv+9MmftJO7 PV8jgl9PeYETtHqdz8cvNn3/si3fdEqX/FtkdsbV8gFNdvLounubtCkhkGWbnJkjUTQQ880pdFrU MjUBACBcQc8DPlwA+TyZ7r8pWR/Bz4V7srRB2LqnFrn1GLThnGXhFfwYnaOLWW8tT0OzFqcnEPVJ m5UNFtOzD5wd1fGR+CUTvFxwN3MruZRvfkybmUrvfGXrAWKbPSB8k1AXM4Uxe1TsgUH7ivaDF5e/ O/kzDyCAuZhXVGu7dvhv/927RT1RFFzPue/NvLvPCJJvBQ9tfs9/BcYDxLVrpQRaiybrmrVWHhg2 9KDQGrRrrK7JkigrGsSJ16ABsAb+4JrHaCBleQQwS6LJkAY/foRWkqUsgxgD6RGIEeJBaxNj7gEJ wMpOAGyQEGXDU6fLih4pAhhpzRorkyxb5bS4ERrKWaWsCLwWyGvYiB9ZsUK0yuwqUwCuWEMYtiAA qXu40A10BRBdj2/hAvD7F3BgiXC/Ev5qJfC1ulzwWukCkjDkyH6vlJUcVm7XsFJDgoS2M/JGiqNF T7zsFazhiCU7A4Y4mDCrnbI9dvQ7M5phnhwNAqgpFbfh1GGHW4TIQAJy5BJfTvQgYMCAzzhFIvzZ smTKp51dkvQbkiPJp1WtBdL8MmNUjjhLtv0IXjYt+fJn4gZwFeRHkwdXkuwYcZb+iHiCKKJDNBvI MK3kMqUsBi0DJCPDWvHLvEAW26MLQECiyLDArCiLlUMs84uvsAgi7AqPrkEsJLr66lC3vwD58DSB MjOvLsvA86iVDikiCBEEgyToJ8NOhCur70z6KybdZpIIscDaao4wiWSryiIAutADuI0IOxI1gaxM CJrkzMxKvc88SG4AAqtyTaqRMtpwr9uc8mgWO20z7baqsiqFC44SwgihrD57k8frDoqGFiRo0QI9 9d57ybb3qnOqpO8oak42nRatKcwqwysLrQYRAUoh1fQLjEk/OwQskEP8YsUUWb8TzjAN9VoPqEAS m4xVv6zwla0aQwIRWV/BWwn+xiApWuWaIaM1DVfC9ItIyQ1fM0w2ntiajUmUDJPJU2tQ0nKPU6Gq 1kSvVjvIzOQeyggjD5Rr002oFoVKptF2wmlRmVDCDaGodoqUQPME2rQ+NMPrzEZJaWGDFjy04ChA QwsNMGA0L2JOJqT+tXKn8g4cTizrTGWlVC0/43Y9QSUC8DP+gBVWKrkOWcsv2IgzLBouvmuuo2E7 BQ2u185l5cCFjY2SVbB+7SvYqtnFbMPOKJ1tJt26/Y+/vwQFmtw0hWJ5rdwIQ1mg1DSSSDkzHVoT uTY3HbgqiqwSVDb0ZGIOoqsirQpvqKoCFSp/+fuMIha9yo+iRmnxg4qDcar+76CZDVXaXJJ50pvk VlY5EEyvqkqxagD2KFGsqnTyV1xyX/0rkEDKsj1nFddWLSOizf1oWItmMeyzjI8NdDNjE9qUNRgj K6sURBpES/pSzDK2dBtFEvujxVl3N3MmbWOSw6QzzzhA2pgGAHm42C5MTJRkqnsAM+OuO82yX7uK +a5rRkhxnWsYgAwnIIVthGsBE5TQblWdidECAH64UgGZlxGKXAWDn9lcuS6YkcOdTDV7AAQ0umAF QOAFhVyoyffIZDz+zSZm1gLMsKxAwyh5yX3jskrmwuMZpIWlcCVhxR7gwpkqoc9SYivS83AXvVUg whRPNEspjPW+1gRGJ3j+ells/oWxzi0Ph3C5CgENxSfVGelLBfnaLBjQJmjU734DEACBYuepQt2R XhmRX3r0xp7FBch1GTyETdZDtL99jjcTihg0JDcpzqFpWxnEWPEihRPydAtUbVPNBZmzIt6gx4p+ Sh8Ytyau2MTsZZKKYRoJk8fExcxgpkwaeebEtCIai4zLCo0MU+eaq7nLNWLbIAuRUjaN8eaHXjFU CVe0pRIGwhpXENov4ZeQvEHFY3KMDnQw90KS6ZGSSpsZacSZQHLhRG8K+yLRKjKzjZSNnPu64JPa uZtOCW5jL4vUwBZnMq9kTzcBFehACVpQahoUoQlV6EILClCGPhSiAX3+X2pqV4pDlEIQsSpFrAJh 0Y4eQqMVBalHA7EKjnoUpSNVqUU3utGLirSjtTPpRUeqsI/GNKQglWlMQWpSk+a0pRqtaUl3SlSg 6nSmLsVpT5sWUac+FapRlepUqVrVqBKkhnqooRW4oNWsfhWseuCCFbzqVbJutaxg3epauerVsZ61 q2Gt4YzOulW6nlWrZs3rWvVaw7GmNa51Tatc5frXuloVsYlV7GIZ29ioWtGxkZXsZClbWcteFrNQ NSpKQ7rZmr7UszzdaGhdOtqfcha0p/3saFFrWpiWtqitje1QVSva2dqWtJ2tLWyN2tuf4pS1nQ1u al+r29oBV7gVNe7+TXl7WuUyN7nKJS50pztc11L3urLNbXVXe1veBhe50h1teLXrXO7iFlqZVe96 2dte974Xvmsrb3GrG1/73he/+dWvZA/x1P7uF8ABFvCACfzPp0K2wAlW8IIZjFgEI9ShDZbwhClc 4YMq9MEW1vCGObxfMJVTlIeimSY7XGITnxi+KCNjgOhYPAGRGMUxlvGMG4syUQqoWzmuD4xp3GMf //ihH65n7r7plghV88LXIKJuELzkJDt5d7qBcg6lLNGATvlnVWbyla2s5Sd32TBYDlWYwUwYMfMY LmdGcprLzOYteznKZH6znHl8z/cQSCeiFEiEgdxnP/eZbehhijX+jZzLNf8Z0Ymm8YfJ4xnj3HhR aFb0pCnNYZR95k7v0dt4+CXpSn8a1AtGWYACwzUmRRpBoVb1qgkMJkOJrVOlPnKGWV1rW2dWxWga 9EtUMmhP3xrYwabsqHHMG3EBpypeorWwmd3sqbrantGuzcD27GxrX9uqKvYX34TCuV9/+woBbR9h mhqWcnvl3AJJtyd1s253B/Td7Yb3vOVdb8PE+970zre9ya3vfvMbLvj+974JPnCDB9zfCB9zQUgm k1aNbOHYlvjEFwomTmLl2LhRz6Ep3nGPX01Sd1tNIb+Y6o+fHOVoriQqC7Wbb6cc5s7ms0GXHXOb 17rmAs35zXn+/umd62bmPRf6p4NO0J8PHelAPnqck950nx9Y5wENt24AwWXdENIwXbA6nQmjdThT 2TBT//KczdzmsIid6W5OMtrBXnayw4XtWeY6XLw+d7mjyOxeUXOTA1p3t1fbXSEG8YhN7nTDKzrX SGyxAIfH8cM/3sc2JiAA0NS7gVHb8ZDXfIyFjJ/aEIqeHCr65klvYZTdsyPKsnMeX15611c40AVj i4ZIebnWvx73DGY0gHwzLEdPsvGjz/3wBXxpAfbePL832O2J33wAj1rEqqtL8teTEbUt3fnZb+/u FeIbvZxaJm/hM4Lj7pWq66b86u57QLFOmHEr3DDth//BwyL+f3Mn/P4Az3/88Y/u/gvE/vxP/wSQ /wZQ/a7u/9itAAtu/hpw/wij/RIP0xhIRS5uMLBP+zIQs6Cvc5TEV95FIzJPA0fwvaBNb7RFU5YH aTCQBFuwxlKm+njPJwjIZoTPBW8wslDGgmJGNvRjyECDBXFQCJ8tLPyo2Hat5URwCJeQsbSNBxMo J9wC8JiQCiVLB6XwZeyMPHCC+arQC6HKBt/uC8eQqoJQBMkvoM4v7BJQDSEwAdctAAXi/R4QLtrQ Ab1iDgnQ/dgvDRMwDwGwDw1QMfiQ6vyQEA3jDxWQMOyQDsMiEdeNEb0iAqGODCuRqsIQjSxREzWL EjfREx/+ygzN8BMrcfc2R/BCrAtHURV5bMUKiPGKZwpXURbL7MZMkWYEKBVn0RM7z3Ps7DZsRhR1 kQlPD3MkhTq0JRaFURljz5U2BT4O5uXQsBDRjw2lzhqpUQy9Iv2uYRvVbBu7cev+Du+wcQ2/7uyu sRztThvRcRzVUSC+MRzhjh3VThzl0cACr4AQCDiYJ+KUUReNL+M2gkcK6AL90SA5kJayxCq6RgkN chO5L29Wgjy+KRkdchUlkCUGkj/6KBct0gs5UH60pdDSpCM9kgpNsNvuRsRQLRhNcgRVzDoGspjq AwgZDDC0BzKmxiUR7QpzppAGxZV6pPAK7DIkY4lsZCf+Ew1MuPBotELEyugM4zEsIvEdqzFGXgQp i/Lb4lAR71AgqLIrHfEQ91AQHzEQF5AsGXAqxxIuzHIa0bItrVIt8ZAtxZLfnJCSBIfauqUk3esm dekn/jIp/yz2dsNjOodjxG/CjnKJlGcwewwT007BGBMwH5MwO5EoH6cyjdIy/cwMI9Mvb6U1kFIz O/PHQPPuTHMMQ1E1LfEzW5MUW+cWT5HwWhI2XS/xCGjx0Cca59Eu05H+zI8de+kyEIwr/Q4uuFIa 3VHJfFPvnFMg1MwboZMbpXIdybEd6/EcsdMemRMczfE6uU7yPObywok8KjLBHJM0b1PGeHE3KG8m gVH+wtSzNG3NMe+zBYmRg/aiGfuRwOgTM2otW6gGYrCmQDOQGQvNM8TFY9BTwAAUK0FNNLXnQCl0 Qiu0+SASXAhE5PqyvfDzKj8NRJ2HRJsPID3HIzSibxrPNinLWMQmRCttRHepRIkPIQsIUzxni1p0 smY0QinNRwM0RjNUNokTIoQSNdcrSOsTSANqSdfTRMXCFlWUaxLCQ9nrSXWJaiD0qWD0srw0S0fU S09sTPOLA83oJpmnIPOuKnXDLeFyLYf0R7eUOOvUTu8UT/M0T6+oOIWUx/r0cfRUUAeVUAlVS+N0 Lr/SEPkN2sYokcYiTVh0wcI0Ri4UscrURS3VqjD+tcM41b6cUD1oA4b6aDCSVL0o9VQtkUvZK0E7 CIM8aAUn1UlnNVUrcVXXayldqZMyiCF5VLJQNbNulQSFFdfCopJ0IuPAqSYnc3Y0lVg3VVWLL2mc cX9iECOuFEsV6lmh1VYFzFSHMjMNalu5lQzHtbJYs8Eg1Fyral2bTz3LNCcFc7HQNV0Hql2p6l6H T0wDFUrzdaC+9cGWcxGtExB1Azm3Eyetxj+jk02bMxuhtO3oMWLDYu+2dEifJgH57mEdduw6lk9Z JUQbU0gRbN22cRKd6lvty18vFb44k0YPFdGeNCeXRScVi14tbGXJ9UM1kzO1sknllDRnlmYjqxT+ C8cWodJXlTS/chaqepZnazZmadVPE8Nlm1BKFY88Lg9AHLRe8Ytpm1aJeNZPFc1HX3Q9v/Zqbkww BOg8GzI9l9ZrN3NsE21GdVJoIRaxePH3OmKSQjBpa/W+0DainBZifHbSspRVN6M38sc0oIKfsDVu I/e9wLRIDJdspfZTkWQgh8Zc4JNQuNYm4bYKERdXxSJPDuZ0/UQkr4/DBBdsXTfpSFe9jA9TsAVH Ya03uRNRs9Mrr+Fg9ZA4U5Nixe0Nr1J5NBYRi1e9pFN5EzUs9XD+ABVKkVcyn3NjT1YgzgUi8sRT qmNHY1dTb1B2M4vRUnQkhoY1MAh0iRJk4wv+dqPqL0WTPuO3ailsfDdQLBZXb2TjdMdkTZHufZtW SI8Sc2c2gF0Uc+NL8jBi0BY3Ijfub4NVdFuWSYd2frGSgO03geHrw/JI1vJlfVPugBfKKCkXZm+G X0e4Rzf4vfCyUAZSb2gJcp1NhcVVXg81MAvqNHK4wu73snRQcBLDYCCCQyJY1WoYocxWbLUUXgP0 bueThd2LF1nskvp21pruXS3VU6E2ietTK594ap0Yb2UVaFtYce3IM6LtWt325PbVi2v0dae2fnFS jnE2ituLbVCv+s5JQBSzYbcRLLdx3YyTYDNP4CR2eMt4jHEYRo+3kEkYoqg3LgVRkoXXehP+Nlgs mWHdtHkNDmCx2EnhtZGfNnwXC4kneL9uVujc+GzldvNOOZKfKmWZjZVdeUdID5aDDDNXWWoNlzJz WUSl1amMONSy2GVHOStxWZgjapaFDZhv7pkV6kiwy7tiZYaPeFCXMJoTSpU9zlCHcJsR6jXZk9U8 Nb4++Y/PkncbUTgFcd3eVDsX9nlz0YQXOVBLuILpEjy/rWLdOQHV7JDZeTQ9dpKZU838rptdj3Az mEZFNpw1zJxTTJZh7pvN1oC7+KJR7qEbape9OZtPOF5PmFaVhKKXOZZjN5THtEZ4WKBWGkMnbqON Tix4KNZCjyGbOdgueG5vmYnlNzTAWOL+Yvpfi/BjKgI76GWViFlC7XWneXpJRdabTXoH08QpCo1h rpmWk1gw8Rlip4arozrAVAx9giUmahCUddbwhFqgXO01quNh/AirnZllHy+izdgrtNY/OpdxeCN3 gbMOqRMSqXMbK/mS0zI47Tlx99mQOxmR5VnN4LmgX8SRFTsRAZp4F25bPHdO6siPAdhWS5mDjbVz YIJ5KlBf4jqnozWsgahmJuWFicaUlDqYu3W1wUcmJoTxHA2p2fjj1LrjfBvoxIJhqlp1QRhceQ64 aTh19CuPO3D5OGNbUBvYkvsijRWB8iPZKE+SeBusvbB99WspUZfyMoY1yugtZFtGyTn+sYCYUsh6 YMoHp2+trtUbFGe6izCtbxm0r9e5nf1aoK8hkOuyvw97ngfRAD2VsPm5YfvZeQO6sCcWev/bwTeZ ORPcwJnzndvFK4QHGtAEt5NNx6TbPkGbvuvbK9KDn1rCYKZaxO2zxKsqoaH5xS+xo5F7xqcqxm2O ulVxnD37xq+qxmX8xzlxmM96yIscHzWG0ypoWX38yJn5agXELcy30NY4YAs5EQVZnbvTDTlZEAGZ Oh3TwiFbwhn7N+P52ya8wC2cZC+7wc1cn3nsxjaldsmjbdH7Z5/8pAsCfYpnIG2xxQVUz6FcmfAs S7yIPENYowd9z68hiObELTTHeLj++7cZ3cQLolxMA1ZRkdIpbsdH0dVicrn5stNh2tIZqlVbqI9B RtHb+NQXCmWMkDwZ93+H7tM/8cOaopcYstSxbb5fPTWP1ZEIZ6+jUnfjHM2vgSsDHAENljrVjNl/ emMfu5AZPNkt3LL9edrh/ACdl3kpOxxPLyHcRIvKGjTie8Rv/SGvVsRcYrRZr9d9Hdi5uYjY9iPq iEACvZznXZytO5w4bTrGJN6vTd3XfcM5hzVCFYxaPaiXm9/LzI6sb7yL7cXw/OGFLcc1mosv/h4j yuI5/tYyHuSdrscJ+swbu9sNm8t793dTPjndnMCtHeUvPNkzXNvf3Mud18LVvLL+Fxzme7fnO77R R17zRJ7okU7FaNqBZ7PJjx7ylrKoHc4VL4/hnd7mepKUHm5z9N3qg02sb/HYqgOGBr7rKY6tE/Ii woOeqr7sUe5G0emti5rs2x7bVIyWOvA2YjhW6d7p2NopIc57lS3qjl0OC9nmmfM4Bbxgs+7Zf77M b17lH585g96guZ3mZz7bcd7bw521y9qPvPfc+Z7kZ/q2x4I6WozrRV/Vcv1RJ6RPCG/uVZ/Zmltr rcS0BZ+aN2u5tMu6age0zuu7nuu6Qiv3wYu1dEq7qkv4xauau4u86Cu7nH+3dn+ojL/5o5+n0Gv5 t2v4p/+ztD/3px+nvL/7j4v+/K8f/bcL/I3KunVMJ9Q+c0I/ISKEJea/ZDiiK+5f/610/+/fnQDC 2jWBrAYaFAjtoEKB1qIxdDjQCkOFshZanDixIkaDGi963CiwI8iPJEeGLInSJEmRJBOyLLjRpcKE MSleozmz5bWXFnFOxNnRp0GhCHsaPVm01LWlOxFWhCbLISsA11gRZBrIINOtXK8FsrIUZlWDYsuS PVv0qtqxXdsu/Yr2ZlyzMusO3Sm36FO8Cc2uFYvT71i7ewvLNWz379yzhA87bhx48drEj+8i5otZ b+XLnPNu/hxZseixowGjzco0mixos/peAwB78F6vTK22slbQNu6dpcBqblz+WjJp0tF2soaq+nhU Wb2Dj+4MGbNh58MFi4UuHXTm6sKxe/dsPW70vWm1fx9vPj3l8NTZe0a9tKE1a7etQaMKdf5t1m+1 QmMIE332eSVRXJe5hyBHeTUkC0IMQXMIWKFxpxhl6EWXYHvqZWfhdgleuB1O6wln2nkcnmjiZb+h 6NmIGr5YlVJMrdaagLMAYE1rpN22lIxj6XZcSBDqMdxVwFGIZHgD5SYfk7cFoscsJHa34Xcwupdi leBRCaKJo03YpZZhjslidFdOeRV81ziU438OAfBffawNSBtNUemHY1UMNhfXSXZlmGRtN82yW6EF wXVmUWRiB+iHZT6KXXD+i24I46SWQirmo4kGao0XX2DhRahZeDHqF15gYWoWgpQK6qeeeooqH6R6 IYiro3rRB6yffrHqrKqWyoepvI76K6m1otprsaruKiuyqGIxyKm8oupFsNJCO+sgz0Y7qrafcvvq t9tSm6u4ppYLLbmvepvut9lu+6673cLKbr3jmttuu7jSS2238M6Lr70BP7vrvvgeHG++5hqcr8AM O4yuwPpGfO/E/A58rq4N/+uFxPXGW+0XwQaLRa2yqtrqqasKgi3JgsAKc669ztortbK6ui+oueoc as6z8hzqzg9T+7Kzn86cK8khg6p0066mu3SoT7vqNNNUX211qM9GrfT+1lVHfSytroZNNs5Yc330 1rFK2yyv0hbtNrXS0gr12sieGi3eJXttKt5ai3zt23OzTfjddgNueNyIT/033G233Xjgduct99fW hhxq11SDikXnp57aOeeg8+F56KGDzvTppu/tOemcY+E66qWbDnq1r6t+u+yrv14777P37jvtoZNu O/DGz4576CwHD/rywCePPOrSq07879Zz3qzw2ucOe+rMrz598MkDvzz132v/fPSzLx877s9XX3r2 utt+/vit3+4CFjRg4cIV+e+fv/xJgQb7o8EA9ae/ASrQgAU8IAD5l0Aa+A+CD/xfBBH4vwNa8IEM xMIMDjgDCmIwglL+gGAGOajBC+YPgR1E4f5SyMAFipCDKqxhDDu4wRkucIc35CEMf3jDGeqwh0QM YAIv2MAgZpCFWFAgBCnoQBLiEIk2jCIRoVjAFyqRilc8IQt5iMUvbrGFFihjGYFwASCY0QIcWKMF dPBGOOpAjhWwQB0fUEY82hECZazjG9m4RjiWUZCENGMh4RgEHSRyB0BgZCI5sAMLBOGNHdgBB3TQ Rjhe8pJBAEInO1kGT4qSDJ0EgiKB0EhTfhKUZQhCGV7pSlKSIZSwbKUoSwlHU6pxlamEpAXU2AEd XOCSHfjlMCVpgQ6gsYwcOCYyg6lMZF6SjZrEJDMBic1rrrGNbdT+JhrV+MtkYnKSHPAkJFFZyklq 05Br3OUvd0DOP/6SA6vUgScVac83pnKSqwzlJ3dAyk7ak5H2xGdBdflHOcZRoYGc5i7xqcw0rjKd p2xlK2dZBozK8pUcXcMrNwqEV3r0lYBcpiDBac1pypOQddQBHwX5xwvIUaUJ7aY8DXmBQZYxkm88 Zk7NWEycrrOMw4TpJvEJhGCqcY5xTKQpI5pUR4JyDUEgwxFEalGsXtWVQehqV7+ZRmR21QIybWYz g9BMNE5ymJZkq1nd2takQrID/ESmJdtaV5kGM41prCRayXlXSAp2B1B1pjr3atebovWMZyxqMNPK V3rqlY2RDSz+WTEZSTgec5yJrOcn8flIOFpSkT3dKU3dyE41zrWRXqUrWFd7gUTas7OkLINHb8vR jObWth6tLVYzutZuqlaQbZykNamp0zJCoAKE7OxXO8lTM4LVmuqMrkxzytOiyhS1ZsypZlFLTDcS F6bXBGc3TxlMfp6Sq1Vtr0i5asuutrKriuwkX5eJUmgmc7/6DeZ+KZtUNupXkuENQnoH28ZiBhit hPWqg4NgyQcbuLUMFixa3crMSE7ym0EYZk63W8xMOjO2gJxkiIl6U0H6l5lzDG1YESnesKaYu35k KGORqVZ6GvO/4kwjZuvryVo+YsiPKEORXWnbJOd2pLQMaUABAAA7 ------=_NextPart_000_008E_01C7D5E9.765CFBD0--