Return-Path: Received: (qmail 81014 invoked from network); 16 Jan 2005 18:33:10 -0000 Received: from unknown (HELO ptb-spamcore02.plus.net) (192.168.71.3) by ptb-mailstore01.plus.net with SMTP; 16 Jan 2005 18:33:10 -0000 Received: from mailnull by ptb-spamcore02.plus.net with spamcore-l-b (Exim 4.32; FreeBSD) id 1CqF9F-000I6Q-OZ for dave@picks.force9.co.uk; Sun, 16 Jan 2005 18:29:15 +0000 Received: from [192.168.67.2] (helo=ptb-mxcore02.plus.net) by ptb-spamcore02.plus.net with esmtp (Exim 4.32; FreeBSD) id 1CqF9F-000I6N-Kw for dave@picks.force9.co.uk; Sun, 16 Jan 2005 18:29:13 +0000 Received: from post.thorcom.com ([193.82.116.20]) by ptb-mxcore02.plus.net with esmtp (Exim) id 1CqFD1-0001gF-Sj for dave@picks.force9.co.uk; Sun, 16 Jan 2005 18:33:08 +0000 Received: from majordom by post.thorcom.com with local (Exim 4.14) id 1CqFD0-0005E7-WA for rs_out_1@blacksheep.org; Sun, 16 Jan 2005 18:33:06 +0000 Received: from [193.82.116.30] (helo=relay.thorcom.net) by post.thorcom.com with esmtp (Exim 4.14) id 1CqFCy-0005Dy-G7 for rsgb_lf_group@blacksheep.org; Sun, 16 Jan 2005 18:33:04 +0000 Received: from smtp802.mail.ukl.yahoo.com ([217.12.12.139]) by relay.thorcom.net with smtp (Exim 4.43) id 1CqFCu-0004fm-PX for rsgb_lf_group@blacksheep.org; Sun, 16 Jan 2005 18:33:04 +0000 Received: from unknown (HELO w4o8m9) (james.moritz@btopenworld.com@81.131.63.124 with login) by smtp802.mail.ukl.yahoo.com with SMTP; 16 Jan 2005 18:32:40 -0000 Message-ID: <002301c4fbf9$7836c3e0$7c3f8351@w4o8m9> From: "James Moritz" To: rsgb_lf_group@blacksheep.org Date: Sun, 16 Jan 2005 18:28:55 -0000 MIME-Version: 1.0 X-Priority: 3 X-MSMail-Priority: Normal X-Mailer: Microsoft Outlook Express 5.00.2615.200 X-MimeOLE: Produced By Microsoft MimeOLE V5.00.2615.200 X-SPF-Result: relay.thorcom.net: 217.12.12.139 is neither permitted nor denied by domain of btopenworld.com X-Spam-Score: 0.1 (/) X-Spam-Report: autolearn=failed,HTML_30_40=0.056,HTML_MESSAGE=0.001 Subject: LF: Z38 / TA / Jason Fast Turbo Content-Type: multipart/mixed; boundary="------------030101030808080409070902" X-Spam-Checker-Version: SpamAssassin 2.63 (2004-01-11) on post.thorcom.com X-Spam-Status: No, hits=0.0 required=5.0 tests=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 X-Spam-Filtered: by PlusNet SpamCORE (v3.00) This is a multi-part message in MIME format. --------------030101030808080409070902 Content-Type: text/html; charset=windows-1252 Content-Transfer-Encoding: 8bit
Dear LF Group,
 
Seems to have been a busy weekend on LF, with many stations QRV. Z38AR and Z38AV were putting excellent QRSS signals into the UK much of the time, allthough working them was a bit difficult due to a mix of QRM and QSB at my end. Lots of other good signals seen from RU6LA, HA6PC, and several others, allthough I did not call them because G3XDV was trying very hard to work the Z3 stns, and being only about 10km apart and within 100Hz, we tend to anihilate each other on receive!
 
I also saw the best signals for some time from VO1NA, "XES" and "XGJ" - VO1NA would have been solid copy at QRSS3 quite a lot of the time - see attachment from around 0700 this morning.
 
This afternoon I had a nice QSO with DF0WD using Alberto's new "Jason Fast Turbo" mode, which has a capability of around 6 words per minute, so should appeal to "non-CW" stations. It is suitable for class D PAs, and subjectively seems to work with similar signal levels to CW - if there is a good audible signal, you get almost perfect copy, while if the signal is down in the noise and barely audible you still get some copy, allthough obviously not as good as with the slower Jason modes.
 
Cheers, Jim Moritz
73 de M0BMU
--------------030101030808080409070902 Content-Type: image/jpeg; name="vo1na_xgj_xes.jpg" Content-Transfer-Encoding: base64 Content-Disposition: inline; filename="vo1na_xgj_xes.jpg" /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDACgcHiMeGSgjISMtKygwPGRBPDc3PHtYXUlkkYCZ lo+AjIqgtObDoKrarYqMyP/L2u71////m8H////6/+b9//j/2wBDASstLTw1PHZBQXb4pYyl +Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj/wAAR CABpAgkDASIAAhEBAxEB/8QAGgAAAwEBAQEAAAAAAAAAAAAAAgMEAQAFBv/EAEMQAAIBAwMB BQQGCAQEBwAAAAECEQADIQQSMUETIlFhcQUUMoE0kaGxwfAVIzNCUnLR4SRzk/FTYoKSJTVj lKKjsv/EABgBAQEBAQEAAAAAAAAAAAAAAAEAAgQD/8QAIxEAAwADAAMBAAEFAAAAAAAAAAER AiExEkFRYRMiMkJxgf/aAAwDAQACEQMRAD8Aahti0bahluIh71zgY5z+NBbu2nsbC219ggwA I4/PrVC2U0y3LkuWdQGQjJgdI60vT2mt2GfayuAGYFSZ/OeK82kbvw8ZxDCDBEwZmhl0MzB5 zTbhDElSG20DlDbwxJmYiK69S+wfTGaVBgAj7aDd3Y86Yti5dUtbSQuCAZNN/R+pLheyIJ86 y8v0yCNx0rd4jMlT186nBg8V6gsaq1pGtuhFocyB69DUNuze1JItruK+YFZsVZp8Qdx2Oltg GEk/XSVSV3EgCYzVTaPUNatr2RkE9RQ+4ahFLXLRCDLGRxQmmTapLJWQDg+FOTd2I2y0k4+V Za073yRaUkimMmo04RGAVgZCjJ9aeaJfogoyAFhE1WpH6P2oC36zqInHrmpMMTukmOnjV1i3 dv8As9baWyQLmCOv11ZeqGia+zdu4ugBgemQDQXc3SdoXyHAp2q0d2yzPcwpaASfirF0d9kL Ku9OjLnNa8k+kJ7hUDcwPnxWONoGZP3VQfZ2pETafiTAmKC5p71m0WuWSoJgEn8Kk0QsuIXu AR16mju3EBuLbJZGIIJoksai4qgWXZQeIP311zSXVbu2rrL0Owihz6NaEHAEj+9ZwDIzTHsX EQM6MomJYRWrZvOJt23YHEgTTrpkXJ2kCKISbDcfEK33a+AD2Nz/ALTTGtFdO7Mjp3hAYc0V ChVgFryBWKmcHwrmYlypaZbJoVXK55NcQC0LJpSfS9Q5sYFYSSJJmiNq4OVPMcVhDbRMx0qt DZkkiKZe39s++AxYkgHgzSyIg0x0/WsDuuGTBH73nVHSFeVdFOGnunJs3IjEKa06W7tH6u5/ 2H76zr6QLYtJhfXNAGG4GJ8Z4pzoWt2rYUlwSKW9p0Ub7bJJ5IitWjlpgMZNcok9PnRpYu3P htuw8QuK4WzvKLLHwjJNC26BgyNo+I9ZrVd9w72RiTTFs3HQDs3AXrtJ+VANPdLAG24ExJU0 vJfRBKFXIxjOetcGO0kqpBPXmiuK5JUgkrj0FLKkAURk9M0EzIkedb2hMyASevWiRLuxgqFg SAYzRNaupa29m4k5lYqsIUxE92QOlNuC4FQb9wKzH4ULae6F3dm0RJO0xQyzkQskDpRqkimw puaxlc7XJYsB91TLu3Qohh4c1bYsXbWpYkxBM3GPTxqc2tRcuFzbaRkmI4oqovgnMccc1gkn FN2NdttcCsSTGBI8aWUa2e+pHkcVpzgQxecifnWH1rulMRO0AVAzOekVaDYvpzTnt9mF2Nv3 JLAdK429ikurCcBooYYr3FYgjOPOqIQOcRmvQ0QA0OtGR3RnjxqNUYAEI26cCKr0itb0erZr brKiCcTRlIRCxwM9Kwc0TI5huzYA5zWmzc6IWxMgUtq0IzO1JUqevJ60OSRGelabVxILIyg8 EiJorYuBtyKfLE1WrY7AMBsH66K8WN5y4htxkDxrDbeCdrY5xxTL1t0dg249494jnzo02Ao5 OKp0KNdviWMAGfT7/qqZTBxVGktltSoIIwTzEedGXGxXT1VTT9qLlpw1xeNomRxQL2LWgNPs mQFVpzwZnmOaZdtzaAt3kCAgN3hgeR8aF7VlbLTchGIBzn0iPU1zr9FwLs7Vy0qlgr4KkDjH 1RSuyT+K3/oD+lc+nt6tQxaHUbQGIjjrFB7lqP4rX2/0reOlpj/0ZbawEUHVXAyLxgAHrHSt sEtppvMAxGATO5frpgFtLL9432g77cg+pg/nNBp0S9YVn2A7QI5x86M+EeM0G6ZOCTO2ia0q uUJMzyMwKG4SLndgEY7v5msRu91APMV1KezNQajYQu518QOlcjsHU7yADzmsLgsxY7jGI8a5 F37QSAs1RCMN9xYKhn3FiSwYwaWzQSLbEKwzB59aoS29lSrSJbBXIOKnDWzdYuuOgGKyp6NN aHXVI0tkozEd4GkrvPFwDzJo7qMLKd0jGZ+uhtpbNttzHcRiOPnQuA1sFBHLlQeYp1u6427V CsJG89MUh0ZWKspBHjVKF0sqEdlMmc901pqliSyVkTH41Wm5fZwubzAfC+FSAAsZIHnVjqq6 KVKqN8jxOKw/QITeuBgVtuwtA4ScAUAv3FQIjsoHgSK68HN12dYO47gOAaWBLwtbyRkb7xqB ntrg6fEa0O9whbt5mXwLGgffjdkc1xZAW2gxAAqWKoyBG86Slq5cVJwJok1F8ye1fHixrrPZ tdi+Ts289aebegLYvPEdJ/pWcmsXylKye5fuNZCtcZpJJBoUv3kXuXWUDoDFUNb0J2kXXjII 6/dSbthVuN2bhrY6zWU64kMZo1eoGTcckmZ3GhdrlyyWdmaGwSZFJp9oH3S4STt3DFa/ASF2 V33UBmCYxWnu3jjhvSutswdAuIaR61lwHcZHenJFKL0MLu07H2gD4ZikkkmTNc0QIJmM1rSV BPoKdeibvTACSAASfKnHct89mCsElfGPClZWDMHkRTG3vffedrAkmOhq5okb7zqMN2r+Xeph 1t3swO1uFh4mss2bTIrXrhUEx+cUVyzpQyi3fEdSZn7qy5YK0c3aJp7DgshyZnnzpNy/duL3 7hIJPJqvUW0ayp3naMoxM7vGoYII8D1qw2qWQdnUXrOLdxlXwFALjrc3KxVj1GK0n9VksST8 qANAkc+dMSMlA12qUAC8+K06nUNaFw6hpBgAnmpxPxRisJ4qeKhU0ncxaYJrMedaHYARiK0S 67ZGJNMXCDS7csoDbukZ+EUz9Iaokk3WOI4xSCQqgYkZrJJB8OtXiqTH3dZfuW9huMU8KCxq runBFp4B5xWLvdYAEegoCCN0iCMVRF+noafW3r2uUG4SgJKgjyxNIu6vUXVZLt07Cc4+6i0i sfaJLgBiWkDxqckHMGQTM8CsY4qwRulv3LW9bd42wRMkc0q/da9dLO5Y+JEUqtjccfbSVOGB MxW2ndHDW2KsOorUgNJBI8qy4oW4QpBHQilrgfozUam7qdvbNuKjGK1dVftWxbRyqjMRSdpj OJ4ooAVTAJpWNUIf+kNVMi6ZiOBT01F+/pNR2jsxCiJwIrz2BBMiPKrNMzvpdSWJMKOnrXnk khQJ1t62FS3dIVVjIGKNtdqgAyaiZ5AAwanvS4ViRgDia1bi7AD0EExwK9PFN7HWzb96/e29 uxJjE11vX6m0gRLpVR0gUq4wO2Ogg1i7S/eML1oaTUB9Kl9pauSDe56wKHVax9Q0NlVYlZGY qYxJ28Uy8zNdcOAG3EsB49aklxBwBSJOTxVOiZU1CFm2ggiZ/MUlVZZYLI69av8AZtpTc3l+ zY8AEcZpz1i6KRW1oIAqXkJt+cEfP88UGy0LSuNQhIMLcYgkeX58aP3bZftwiqrL+sKmI8Ii gGke3dZbNteykZMSRGR41y+K2VvDOztXX7uphgJCh+7Pjiii94W/9RqxtCGWbeG45xI8+aPs 73/qf6g/rQkmjS3xm21FgMnvNoDllKCQPDn8zW2L7XtOGOwOjA7QJgelcF22I3C4duEHdzEc +HlSbSkaSN23s1DGWOAZ8PStW6BEj+0tR25goBMZWoY7pkE55rnwzTkzmimLZAMg5iK6FjOA Ota+9ZAFvaoHTaKaPamqXPdImZKDPlUnZNsLGAAYoNzREmB0qa+oD0X9o330+YgmGkCot5wp AYdARWZ7DnG7itC/qwygyDkzxSkkadLk1TaWxbFu7CmeRJ/2pS+1NStsrvBJ47o4oHYvpVYn megpaju71QEDmaysV01ktlK6+7cW4rsCrA8rx8xStK9osFYlcmG8BFT4IJOWPh0p+nCtsls5 EAZGKXJAx/CWrd3/AIX3sxdwD6f71HEtFehCfooAkLNzEA5xWWtJmSa9c2l0UAgkxc6kT40p 02HkHzWnOwtXGUJ3Scg8geFIZhJCyFnArb0LNZpQZx0HhQiduKIOuyGWT0IrAFlSeOoFTd2B xJDd7J6zW4LqTgHw6CuukNcJWY6TzWMQcqMT1pQMwxNFKlCZIPURzQGtAECaytsg7brbO4AM fBlkVQdQXssexsgAgDasZ8al2kKWgkcc0aBfd3OdwIoaV2axKLGrJ1FleytABgBC0rUFzduj bChzgdM0GnO3UWz/AMwpj25uuZItqxy3NGOsiVaOsXiocFUeTMMAfWuGq2yRZsnplKQSAviT 1rSoCqep6Vp4phXCg6kdmQLNjIz3KQ7FLj7XLGSNwPxedYqEqWGQOa67BdmQEISYB6VeMWib YBNd0rvCiZdrFfDwo2A68I01gn4jOJnFJDZHXpBp90INLZELMmSOaRsMbh8MxNWNNZGSTIrA CeK4+VErsoIUwDz50tmTUYJBgNnKkYqkalOz3DTWZn+HFSGOR9tErnYVgZznpU0m9iir3wd2 dPYjgjbU966Lr7gip0hRAoFKhTIyeD4UMVRekBpWBM1gMVoEefpWrt3ZBjyNL06iO3U8asC0 qNYtsRiSORSiuYE93kHpXSpEGfWl4XoousXEua4oEtxmWEy3j1qe7qgbTWhZQLEA5mj0yf44 Be4GJK/VUjZJM15+McFtmo8KQFknrVJ1loIQNNbnEEiD6k1Kj7QRHPXwrbhDZXAA4inxTQei pdbaMzpbI8IWgfUJdtbBp7anEMuDNS1pmBPFWKQGwUaf3geDVZ1ySSdJZMjqJzUR5oswB9Qp iZFKau0Cd2mt+WKfZuDUaHUqiC1sWTtwG9a82K9DRBm0GsAI+EHjNYePsaeeD0nFap2sDJHp RFkEALOOT41k72EwOmBW+f7A4nfkkSKwxEyZogGUBlxB5oSZYnj0pyIwYo7o/WP390E97+Lz oMRnmjchrhCAhJO0HoKF8I5SxcERJ6VRpQ12+FMCFKnzxxUvJHlVmlcPeVQNxggqcgn8asuG sT0+wuWV3ASYAYhpP20Puq2gCwZlBAkHJ+U8+dF7tds7yCSrfEA0n7fz61w0/ZgvagAQA3JH HT8fSuVlf0Q1i9dNxrVxl3HIiPnT9ur/AIh9QoG0t64x23iCMgARn66V7pqPG7/q1tJ5K0VG UWbT27blrlsO0tvQztEefSldncNlbiM0gAkMwQfVTLNm5bBDNZ3FZjdkkjg+I8/KgRXGnV2J YBQrLuCgfKh9BHm+9X1OCpWeNoifSsN90clSDIzgGDSTJdj8M9OlczRhSYPSuhYqWF5NDBeu FmcMQ7GMeFAt11IiJB4gVltGdoXn7qFY3d7Ip/Ar6VDUXUHbqRliCKwazUYbfwcHaBHlQ2ra XbQUOqtJJ3GBEUrAMEyJzFZib2abfSi7qbysLnaLMkjaMCt99uqWuBpdhBMCAKF1TsEcATkA D8anxsnd3p4qmJZUqTXahiQ9zBH8IH4V1u814rZe7tWSZgCMYqeUKZEEYEfjTbQC2ZIEknPW Iq8cVxFjeUW125kF5kzNWnUT7J+JtxfPdEHFee/IIjI4q5Ib2VtS33+0znnHNWWnDNbJ79y6 Lji7hjyBBist6ll27oIXgbRW3VQXdrEkgnvfxZ5pNxdtwgdPOaWhbfQjdJZiVUEnwFMa+7Bd yIEGICikDJgwPWiESo+s0y7BNjLjlXVgVnkQOa17qveZ1t7UbkDwpdx95UGAowMR9da7d4lS dn1Urot+xfWDgVqttkAAjzrdilSwYYNCOfKhdMjUvsqMsKVJnI60xLi+73SVUsWGNvHnU/Eg 48qdbYe43lgbiwrORpNgpqGVkKqgKn+GtbUkwuy2QvELSkG5lU8ExWjuXMgYPHjTEyTY0XBd QowRYyMAfbW27oghlQDods0suhLEgyTNE5WJRguIjxrSWhptvUhWE2rZE9VojdKPcW5bt995 YkSRmp9s/DJPXFFd7t95O+GMmec1lpXZmsO5qQ5P6m2OggRFaLyhBNpCR0jpU5MnAijB7hAz NWKo+TK+1RLFqLaMWmQ64HmKVc1ILALYtCPBeaC4R7vbHekTyMfKgneRkCBFCxXsmw11G1p7 G0T5jFGt8qhjT2mHJwf61PzJrUk+MdYqWN0Hkx6amZA09omDACn+tcLq9kSbSTMcf3pMdmxz OPvru8bXWAaVivY+TN7UR8CePHNE19W4s21AEYmlAYnBzxXGd3EeVU+hWN7dYjsrc+Yplq8u w7rNuB12k/jUpPlTEusoIycQJOKImKy+jXvbwJsoAcAqD/WuLkMu2ypZB6zSVJXBXp1FYLjA ghoIEfKtOQqW6e6TrYewhuS0xMk9etTdtDtNpCCcrT9Gs+0NvaE5Ybh1wc1MIDEMsj7RWMVt lQjeBQTZtyOuay3dW2CDbV5Bjd0oIETNcw2wJB64rXjArGdovZgCysg5bNCbokHs0+VLotsE EwR5GpK8KsIXTukqpjgGiF4DYGRWCnw+ylE5jkCmEho4AAxWlsqzVvwGHY2yCZyDj7ar0pR9 JqmAAIUGOmKgIbdHU9Kt0ce4atdhLQOvSvPLRVky3AjAtZRpHBmia+FUr2FsE5kZikEkjJrs AiK097Kju3UoR2FufETQbw4CC2oM89aGG2yFMTzWRJk8VQqxrXQylextjzEz99a10recvZQs SZBnB+ulYgnd8vGiee0cb9w3HM/F51T4VYy29tgEa2ixncZz5VTpLiNqECWUBVSRzM/jUAMH KgjzqrR968nVtpgZHQ8RWckvFj09MdrbSbqt3tu4ZYL8qy5YY2+zg9kGBG08+Rn84rWW5akn e8kbiwnGegoLVq7btk3ncqCIKjrjyzXPzYoPsL6lXsvJXDK5JDYpPb3fFv8A25/rWhNWzN2T qF3cEcfh+fGmd/8A4X/00hEc9s+7H3jdZUAd8OCWwBmsFtvdUA3C2VVWOAQPWeKNV1FuWXTj vDM3Bj/b6qn09t20wKFgrAKwCg/PNLWlRSPLcfrGUZzjM0y5Z2wHIXGPOlsGQDEDcYaKxo3H a8+Bjmum0NI0K0FQPU0CglsR862220+vSjYEKjGCD0FWnsBqmNIcWxDc9cipyvdDAGPOmuP8 PuZSGLYjiKUBIOMDnyoU2hy9D7i2xprPe7xJnHFLW0pEBgTPQ9KbduONNaVt23O3oCJoLadp eFraQSeF6VLmxfTLDrZuEspZSpAEVlgBrgLttXOelCRu3MAdoxJo7IYMpZe6QSJGDUlvQL4L I70Yq0M59lbAPgucipHWJKyRzI6VVtceyA/K9p0/d9fz1oy00Z4IvXCSSohZ7viB4UnIJkZi qLli4zG4+1WYnA8ZNLuT3g6lSMR4Vup8Fp9Ysqdu4jBxWqpjcCBHnWi1cNssFJUZPlQRFYfQ G3QTsmJI6fjWGUVkGR1Na0EqiwRGIGaFizMxIgda2aZhHdED7a6Nq5mT0oeuKNVdsKC0jgCa F9MnKJjPP2UYZQTv8Qe7S1GCWUkREjpTVRfd7hkkqwiBilZaFGqgN9ELBA3WeKU0rdJncQab pAX1VoMu4FsCKG8AupuAjhyI+dF8soWoYryHkDndWXAp2RMkSZ4FZKndMgziOKYXbCqFKgcD NX4N+iVJUyCR5ituMDcYoIUkxPhWtG0EET1Fde3G85cAMWJIHQ0NThkEDuzWrABMkMOKNA6M QRBKxkdKAmZgYpWtkE7s1sBs9QTSypBg0bEm2stMYAoV7rAxJHShqizK1TBJownaKz4ULANL BIkDrVx0IE0AwOKMu3u+2O7umaG1b3tBIA8zROu21HaA5+EffS39FL2LJBaQKIFQoMyfCgrR E8VLJgcIMSa4KJMN86zHWjTKsABJHJ6VLbIz4gGZjzmu2g4WZNcSQu3Mc1gMVa9kVaPa2uhJ VTu2+IEVODkncMj66q0zAa0s4Iubm3joKne0d5EAGcCsr+41NGW7YZSZ45xQEedaszjJomd7 ndaSZ4remGoYSrkkkDHAFAKZBLBSQvy4oSDJkjHgaH0GduBI3DAxisHlWU0RPdWW4jxqX9W2 QozOas0q79Fqx1gGfQ1IWMDwHFV6cn3PUjftEDHjWMkoKIqIncZriDOR0pihezAO0SZk/dWk vQA9pxEjEGhgkFvxrSjRJUxQlSDBwaXfZGwZAiZrbm3tGKAhZMA9BWKQJkZ8fCmXlY32N0bS zGSMiZzRNaKCwCas0hAvqBMlDkGJ9KmKFWhWlhVOhZxqA7S3dI5yPz50ZqYs0j0TKWm7Uhjx 3licnnn5UGmtX0vOS5YIRtUt3c5/Ird14WC1+4x3kAcrH1DHrWj3k3NjTdtKO9kQ09Pt61zz ogu+oclbSqfBt0QfITjH30vtx/AtPVtQF/U7XztIJHdIGfzFH7wv/L/3N/Spa9CthWLrNbuL esC2ltcblgHmfz50CX91vtCiRc+KLZP1xz0orZuG0Q1kl87FZe6MY9OaC2rrpAmBuQKQATHn ilvaMynma7VnVlAbfZkT1xU2xVYA5xmKbtlmXerBZMQc1rMABbRLbBoyBn666EkvRQXEvFsS SOKWQRk9aau8SnB43TxQt3YBbEcDNaaBoMll0gEctMx5U7Ray5pbVzYik4+IcVyKb2mgFFO+ FBnnyqc22LlGjePOsqOo01ZCz2jdOp0+nvMNrGe6OIpq+1blwhOzt7CIOM8VI+73WwoI/eA4 8fGl6ZHa6QBkc5j7aMUpsJtDNJrDow4RFcv1P9KK7rPe2Q3rartBErNIdRauQ6zjiePqorVt brIu4Lgk4M0zHpR0sPti8ZAt24HG4E1SfaFz3D3nZbD7tsHivGZT3mjHUVYGH6K2kFTvgmT4 eFGSSA7X603WChVPZnDg4NRsXusXMsTyadeNvFsQFElSM4PjSEUmTtJUcxSkkhfwr0Or91t3 CLe6YEk4FOPtG0AI0NvaemM/ZUGFBG7DCcZpaqWnyE0tK8A9az7QsbgraW3ZDdQP7VLpNWLH a77IvFokEgDHyqYELcHKkdea65sLsQ2DnijxVH0Xj2lp9uPZ9r0kf0plv2jp+0AbSW7OCN45 X7K8kCa0ghZ+unxTRkt0F1bWn1DXLS3VXadretOHtPTlAvuVvbOVkf0rzQJABwD1ptu0raV2 nvbwBQ8Z0Vsus6+1cfba9n2wxB+EgfhUDJbOrcF9q7zB8pobI/Xp3imfiArXFy65yXyc0TYr gDKUdlgGD61651umGqZBprfH7SMnHpXlIkqzEwProdrKZXIjkeFLVKFfs+9as2rpu21ufDAI /tVD+0dMt1o0VpiCe9IznnivNGF3bo8hWXCpdjbBCyYB6CmJdMnq2dfprtwTpbdtjPe5I+yk aC9atae8122lzvCFb+9eepgyDBruDms+I09Z/aOm7JSdJbbOFkY+ytta/S7wU0yKxByOmPSv NumbNuQsiRgZ9DQADG0ktzEVeKeheivQ37Nm3eN5FcNtG1vWnjX6PcF9ytBTy35FeVRSu3rP SiLpk9ixqtK97YNLbWFJ3cn7qm0F21a011r6qy7gFB8etSWjA3A7XAMY5otynRQyywfB+VTU 4bRd77pNhc6K0D+6I5+yj0+r0lxj/hrdp4IEdfsrx+oB4ou8h5IjitLFGQcT4/jRRn4SJ6eN CJnFHJYANiOsUoD1r+q0VthGntuTyYiPs/MUJ1ns/tdvu9spHxbf7V5t7buIUllHwngUuZo8 EL0etfu2rmp066doADBtsz/ejOr0J1DjsrYYAkPHJ+qvO0363WgWu5ztnoOlTEZrHiqPoK2z 25ZTH7tCMkTxPNapCkyCa1tuNoI9TzXpKjJ7jX9D27LsQuRBO3n7Ki9nvaXTXmewLkFZB9fS oVL7iRIYeFDJEg9ec1jxYnrtqvZ6uoWxbYHk7Tj7KYl/Qou5bSKCpAbbz9leGRx0BpilZ+Iq PHwq/j/SQuWKnOPWqtOpGj1JkSVXgjialOTirNJb3aHVk4AAzVlwkSMxMYAiuJBlsA+ArssJ Cju8mudlPwqBW2/YHJl5yB1jpXsNqtB2jHYpeDDZEnHlXjhiPhOTg1xw0HPnQ8ahpboLumtJ d7dVeYgMK72jds3HRbAGCQYJOZqINClfHNMuGyN20GCSR0IHgaHj7I9cXNE19kWym6J3BZzm elJ9mi1ZN3cd5gEbQT4+HyrzbbvJg5jkmPtp+h2jUABgZUkgjgx9tZeKSo6h7FvUrcVjdQor RH6w5PUeURXXLqW5Uq4AByXIH1n1/MUlb127aZrqxviAFHSZ5/GgD6p2Fu5a3Lgk7YBPmf6V 5b2SR3b3t6W7VpghzvDFsx4073pv+Gn+pQXbl5AosWpcgMSB4iOtb2+k8bX/AMKz1CsvwYj3 BYcXlZECkz5dBjwpSlxo1GSrKAYQ4EdI/wBqr1v0G/8AyGhtfRF/PStNcZlHzhgMf4d1NW2o V2UEgriRxSG+EVaf2Dfy11M1j0jzIAEEVwWYJMCeTRH9sfWhb4PnW2tGEUIze6hREdphieMU js3CHpzTV+hj/N/Cjb4D6NXljxnr42CWAFm2YI5z0oUfaxiT/D60259BtfzGkJ+2X+YVJ6MP TNKgAlpnj507T227rlZ3SBnmhvfB/wBZqnSfs7P8zfdTlp6NYrZKwYEjljg4qpg/6KVGQiLn d86W30o+v4VZf+h2f878Ks/UBo8/UEh4uWdlzcS5B5nwoE7zN2ciRgczT/an0k+gpGn/AGwr KYTcFyZ8a7JPFaPjrrfx1rpkZCl0AAGcyYobqbb7KOAYEGax/wBu38x++iH0r/r/ABoe2aBf eoCNgc0I+LMkUy/8X1/fQLzTktwH01WXvCDB4pttSNNcYzyMA0hfjHrVCfQ7vov3mjJ6HEGz v7aySsjcAB45oLoi+427YJxxVGn/AGuk/m/Glaz6Xc9TR/kTWhajerGcjpXEtC5nFdb/AH/5 TWDla1TJxYt4fVW3i3avvADFiSB0NCvxCmar6Td/nP30PhCgfSumu6VlFZD7rbtPaEiRNKHO cTWt8A9aGmRiwuFIgETzQgZgmKMfsW9RQDmlr0AQYgRJxxTyH/R+4khd8QepikL+Bqu5/wCV D/N/Cs5aSHFkQ5oiWOSZ+dCvxj1rRyacQNVmI2itExP21lr4m/lP3UR/ZD1P4U4sZTpPZQAY J+RoOOlNT9kP5vwpXWl7JlNtm9/YmFMsSDx1xU7PubIA9BVB+n3f5m++pT8VY5snwdbCsUk4 Y5gSRQXALdwhTMHB4orX7Rf5hWaj9qa1W2M1Tbd2Cd3WcxS5zNZXDmstsLo0kE5rhyDXHpXf uD1rT6BpO9hCgdIFWaQRodXPO0CZqOz+1X1qyx9A1Xqv3iiXGkRyIiP7UJ5M9K0cj1rX+M+t NqI4EKT3eRWY61zfu+lcPhqW3COVipnB9aK9vN1y4htx3AdDQH4qdqvpF/8AzG++juiFH4RV WiLHUrAXCnlZ6fbUh6Vf7L+lL6GrJ6aHHpf2z3LJu3U2MDAZQDET9XXmhZrwbsmS46bZYhQJ MeNE/wBF1Pq3/wCjVjfs/wDprl7WHlPR59q7ftns1sEKeCo8uufxp/6S0/j9opqfGfT8K+ap xdLyp//Z --------------030101030808080409070902--