Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on lipkowski.org X-Spam-Level: X-Spam-Status: No, score=-2.3 required=5.0 tests=DC_PNG_UNO_LARGO, HEADER_FROM_DIFFERENT_DOMAINS,HTML_MESSAGE,RCVD_IN_DNSWL_MED,SPF_PASS autolearn=ham autolearn_force=no version=3.4.0 X-Spam-DCC: : mailn 1480; Body=2 Fuz1=2 Fuz2=2 Received: from post.thorcom.com (post.thorcom.com [195.171.43.25]) by lipkowski.org (8.14.4/8.14.4/Debian-8+deb8u1) with ESMTP id v0ODbZsB013405 for ; Tue, 24 Jan 2017 14:37:36 +0100 Received: from majordom by post.thorcom.com with local (Exim 4.14) id 1cW1Dl-0001Eh-84 for rs_out_1@blacksheep.org; Tue, 24 Jan 2017 13:33:13 +0000 Received: from [195.171.43.32] (helo=relay1.thorcom.net) by post.thorcom.com with esmtp (Exim 4.14) id 1cW1Dj-0001EY-U3 for rsgb_lf_group@blacksheep.org; Tue, 24 Jan 2017 13:33:11 +0000 Received: from mout02.posteo.de ([185.67.36.66]) by relay1.thorcom.net with esmtps (TLSv1.2:ECDHE-RSA-AES256-GCM-SHA384:256) (Exim 4.87) (envelope-from ) id 1cW1Dg-0007kk-9L for rsgb_lf_group@blacksheep.org; Tue, 24 Jan 2017 13:33:10 +0000 Received: from submission (posteo.de [89.146.220.130]) by mout02.posteo.de (Postfix) with ESMTPS id 0D81720C94 for ; Tue, 24 Jan 2017 14:33:06 +0100 (CET) Received: from customer (localhost [127.0.0.1]) by submission (posteo.de) with ESMTPSA id 3v78JL3ZDSzytl for ; Tue, 24 Jan 2017 14:33:06 +0100 (CET) Message-ID: <58875792.7020302@posteo.de> Date: Tue, 24 Jan 2017 14:33:06 +0100 From: DK7FC User-Agent: Mozilla/5.0 (Windows; U; Windows NT 6.1; de; rv:1.9.1.8) Gecko/20100227 Thunderbird/3.0.3 MIME-Version: 1.0 To: rsgb_lf_group@blacksheep.org References: <159c6d4aa99-2cc9-11356@webprd-m36.mail.aol.com> <5884E0D8.1090102@abelian.org> <5885FBEE.3060408@posteo.de> <58861BDF.8010605@posteo.de> In-Reply-To: <58861BDF.8010605@posteo.de> X-Scan-Signature: af9871cf36151fc2a83003e0c95f57d1 Subject: Re: ULF: First EbNaut message over > 1 wavelength on ULF Content-Type: multipart/mixed; boundary="------------080200050503000303030800" 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-Scanned-By: MIMEDefang 2.75 Status: RO X-Status: X-Keywords: X-UID: 10324 This is a multi-part message in MIME format. --------------080200050503000303030800 Content-Type: multipart/alternative; boundary="------------080407030307060602070501" --------------080407030307060602070501 Content-Type: text/plain; charset=UTF-8; format=flowed Content-Transfer-Encoding: 7bit Hi ULF, *The first EbNaut message was decoded over a distance farer than 1 wavelength on the 101 km band.* Just a single character which quickly decoded at a high SNR. This was despite the very high night QRN. It is the message that was sent between 0...1 UTC on Sunday, 22th of January 2017. The message 'F' was sent 3 times inbetween the gap of the DFCW-10800 message 'F'. This shows another time the power of EbNaut. The postprocessing is still running. On the links below you can see how strong the QRN has been during that night transmission. There is a noise background difference between day and night of > 20 dB, even in this time of the year. Oh and it shows how deaf my tree grabber is on 2970 Hz (and below). The other message which was transmitted at 20...21 UTC suffers from even higher QRN (see the 424NMEA spectrogram). It produces multiple decodes, mostly F but partly other characters, even though i used a 21 CRC bits. In a few hours i can attempt to decode the 7 character message which will decode at a very high SNR. I already know it because the transmission is already visible in the 424 uHz spectrogram! 73, Stefan Am 23.01.2017 16:06, schrieb DK7FC: > Hi ULF, > > The postprocessing of my recording (0...12 kHz) from France is > running. The first pixel of the 424 uHz spectrogram just appeared. It > shows a peak on the right frequency having about 20 dB SNR! :-) See > attachment. > > The ongoing postprocessing can be followed at > http://www.iup.uni-heidelberg.de/schaefer_vlf/VLF/wide140.jpg > and > http://www.iup.uni-heidelberg.de/schaefer_vlf/VLF/424NMEA.jpg > > > --------------080407030307060602070501 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: 7bit Hi ULF,

The first EbNaut message was decoded over a distance farer than 1 wavelength on the 101 km band. Just a single character which quickly decoded at a high SNR. This was despite the very high night QRN. It is the message that was sent between 0...1 UTC on Sunday, 22th of January 2017. The message 'F' was sent 3 times inbetween the gap of the DFCW-10800 message 'F'. This shows another time the power of EbNaut.
The postprocessing is still running. On the links below you can see how strong the QRN has been during that night transmission. There is a noise background difference between day and night of > 20 dB, even in this time of the year. Oh and it shows how deaf my tree grabber is on 2970 Hz (and below).
The other message which was transmitted at 20...21 UTC suffers from even higher QRN (see the 424NMEA spectrogram). It produces multiple decodes, mostly F but partly other characters, even though i used a 21 CRC bits.

In a few hours i can attempt to decode the 7 character message which will decode at a very high SNR. I already know it because the transmission is already visible in the 424 uHz spectrogram!

73, Stefan

Am 23.01.2017 16:06, schrieb DK7FC:
Hi ULF,

The postprocessing of my recording (0...12 kHz) from France is running. The first pixel of the 424 uHz spectrogram just appeared. It shows a peak on the right frequency having about 20 dB SNR! :-) See attachment.

The ongoing postprocessing can be followed at
http://www.iup.uni-heidelberg.de/schaefer_vlf/VLF/wide140.jpg
and
http://www.iup.uni-heidelberg.de/schaefer_vlf/VLF/424NMEA.jpg



--------------080407030307060602070501-- --------------080200050503000303030800 Content-Type: image/png; name="2nd message.png" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="2nd message.png" iVBORw0KGgoAAAANSUhEUgAAAcUAAAJ/CAIAAAHxHW/LAAAAB3RJTUUH4QEYDAwwOneygwAA IABJREFUeJztnXucJkV575+eWfD4OcdoxMvR5BiEcJEdYNXAroiX5bKiwgnoHhG5CGjIMS66 qMgCmmEQcEWFVcjNk3ghxkAy6GDQjBDYBRQXUFxkkGUFhDWaA0YTD16Rnff80bs99dbl6aeq qy/V7+/rMvZbXV31VPXTT1dVP1WV7b777vPz84PBIMuy+fn5RYsWDQYDIspDiGjbtm3j4+NE lP8kotbiDwaDjbd/I8uyQ4//1Pj42Pii8UXj4+OLxhcOxscWLRofH1dDxhctGtseMnRqbHx8 XI+8aEy5qjg1pocsGh8fHztol+8T0aZf7bnkv2yhHSzef+k9d9327cf3HiOiy7775SX7Lv7Z lstfTHTl3Zc+uum9VxxJRDRBRCuO3fKBieKyIwe0alc64j2rqB4mlixjzmaDweCeu26rKe+4 jLUtgAeLiqOJJcvmNm0s7sLcpo2k3JT8Z7tIdSAvSQMCMSzU66rVa9avX++KlxuOnLxs+eO5 eP+l1vj33HXbqtVrLl+31ksaLTWtEof0Nbdw6l9XioVuuCJrTzT/gJsyWBmStbC6NFyRJoU+ uCJrCiPXHyZf2Kx6gKz1kKaspllRQyaWLCv+NSSaQUp2YJHrhOuFVBOS+hpqu+QHLrudv1FU W22GlFK8llxXMWI4daD5ep2embWeWnn0EflBL/SVp6h1eTklN4pPTddXtbld/DTb4FbUOGZ8 tQHlpeIFKelASu8tiw5Y4zHaVtwWrZ9j/jSv1ZRBqq9qBlq6wpZycWFxoGltmJoWpKSvJTYr Yp/bZepdFK+AAvv4gCpZfuPC+uVqyOTkpFDKvA/MyZonqmXmpWFm3ashruaEPJeU9DUl+wpZ 6yElWWkwGMxt2pj/VcPnNm0sLMOgbXJhUrID+rugpmzCGhgatddrxCrgxjKY7OUZRLxXKelr SjYLstZDSrJut6+L91+aZZn2/Y2UL3LF49zw2FFO/vSnaQe0kWH1wPqxyjVuXN9gcpr12n0g az1A1npISdby95ZmLwfVxvrCSPy91eL3SwlcvXbBH0eF62+ZA5Rm3UtCmCy8SFZfhdcUNace MJGrSbhA3+u1LfpSr5ouqnag9CZIIlhtCHNJSb12ysSW6KtQUGtfLTpp6mv3gaz1AFnrAbLW A2Sth5RkzXbdddexsbHBYJBl2WDHnCoiGgwGY2PbSzI/P1/E2bZtW1vxFz266DU3/N0phx73 ibGdnmSZnqVOvbJOz1JndzHTs9TZXUOnFmZ3HfzMfyWiO3+xx6JF4/vtvHl6Znbl0Ufkf4lo emZ2jIh2/R+/k4+lvOjdZ//7XR995AtHHEtERCuJiJ79F4cRHfq6L37pvUTPuOOyg4j2qu8u a+Pp2nHWneYpz/Z6TYUhWbXuinrchZ7jkKyFPhROGdpxKxQOcwu+DvxHtoExf4vcU76COxqq DMUYa8GYeo6ZO6Vi6kPplC85TCIL9SofBDZVYiCY8iWESSQBm1W8FJK1WR0nAVkLR9gEZC0Y 8oG2enzx/vFNMiSrVaDWpSyahXbf8oYdRcxXlBX7/K28Ta6mVRwX4dbJW2ZjvghUL3FN/OLd 7nXfck0g68/SQNfl5oHK9MzseeedVxznB6o3vF0HGh7lzKvJdNLXaGj+luQBKNVa59wd63Su IoKm0OolaswiEVWDrddKQNulHiz6qn57KY5dCqd6SPCTt1RbVqBZRqm+krt7riqcmUeO6dOh GkuroL6kpK+czerU5C1y2df8vhc3WmhEXR8Zc2UVSsnkZZc1rCJdgpqzuCioI8npQJQ3bS5o kVQhd0DiKdnXBGRNsr+Vkqz2foHmUtiK73vB1NSU3t9SLYtmfTriYFBVB+J6yfAE9gsKXPN3 1aFmJrIXzjF4LZ6vz08d2Mcy+NnOrpC6SclmQdaoJPmOtfcNyfboeDWZI2J5bxW4HvC5TRvb fYFxOlDdGTMunKylq7M0bGKlz1YXuuYp2QHIWg8JyNrT95Zqrbr+3lJ/dve9RR2b1FXS3+rC K6DA49kynZ9cvdOaboVHP7a0y8rEjIJfvZIxZ4ufsRFX3fVvG0yVqLVYxOS7/3Er2O735oWr aqNrbeB7y1WdEUdZTMplZdZ7UMN9a3FieFFhyYBXSt+37ONZGsI6CxsMlMcXPVvmpF4mmu+N kscPebbaUpuU2q+QtR4SkDXJ/pZF1u50BDQssnb2TZa4DnSWlOZIp8J2N6IDV15x+Ftf+Jcn vfbpT//tp+3zjl888Imn7H36Y5svO/STj3zrwUfvuGDf7NMf3W23515/46bDz/vQ7y47ZyzL bnr7c55/wqrdX3HeAzedR0R7H3bB5n953+JXffCer5z9MNHfHPXh8//pTCLa+vm/pSw79ta9 sq23jY1lY2NZNrbjz1g2NjY2NpZl2Y6DoVP5L+1U/jvb/r/tp7Kx4sqFU8blY9mO39qp4cu3 n8oO2uX7xfDTnb/YIz+1386bi4orjP70zOzk5OQ9d92Wd+u+/fjeRLPZYDD4r3u8fTD/mzxS NrZoe1Zq4RcEMuoly5QK2iFZXjC18Jnj8q5W6+c+cHyhfadedHV+6hPvPbpUVU+7eGbLl9fB CMQnMd/XhHAOaZOxFYH515VoZxs+9aFaW0JLIBbaS8yirfyugcEUNy/fZTAgI3WSq7kNYfR1 iFRHeHO+D5+X3bZmCjQ8vyjK5FdraurEXN9cijqN2EmsMoG2BSNQaGuf0IxACy2B/tWpCRpY tYBqjYM2aQfVWguo1loQDWSrH0ujTA3oH9pMP5Fvbhcc9NOCGxMgo/qK+UXmFGxm97cCdakC bSUCE99Z3sVKB8G+eGbfSZvDbg6SuJJyztrUHvYiiVxutVKKkKJLphbPrNzSU2oWrrNaUgXW dSPUU9Z0XJhTbJhJN0OiYqglCuVDLfVhvuii2+iI79IqsjlbAnL5rDGtbYZi8KKASZPxnGMc wdQ0tbGSgQ/CsrtwtgT4e6UabOvcI9dZocSMx3Vps4Sp2cYINAJ8pbvONmDEY2VR0TpFtq0B M7yFC0/VJ4CVilI5l5zRWq+8qdUWvqj40Fm/lQm/nmkrcfHUZxyktpU3oCrVZTUFcE0gZXJv ZYJOAdqtcYjWbjWtWBduTx3Ld/CfJq1IR7DM8LjfCq1iuIbNzMk3pa1sTdpsGIkwXsL3zQjU oa1TU1P5wYYNG1za2mbntQHqUJGivkqXnizA14FaQLXGAZ8Im8DeEuBnvzFrPYEc+/wR68IC xK7RNeJonwhLjAAqLoz4K+QFxPGKoHUQmHUNXP2IBuhbd6Atyj0GVUWwfu3gO4vWni7/s39A W+PQvn/rKDA0JtDuorhJo7mYD1UrrEEs/Ka+9/5VEwu/WfroHbjw62WBMEI+aKv+iGp8NZrV eVHNoohW/OSnfab1oKDdGge0W5sA1VoLqNZaQC8rDuhlNUGEXpZrkHiUu2QRelnqpy1m8lG/ qbeXNVJVySCa7uZa+Ub9QIsKVfGYnMlM1UCdanD7qk7YNljl0S7JD1wXWp0QgqMxkjQPxgTi UNeYgGRavPbtVvu4G9Y+62YzDtoaB6mfgBWXC4ErmvwUH+4lZBeAtsYhUFt5u+lyflHPluo4 sWruks3Mq9TEm8KYgkmkZYC2xqF8SoZ5i0rX0CguZNqewZebn8LC0meuLY5jNXWhrXHAt6wm QLXWAqq1FvAtKw74ltUEMAK1IK3WjvfBu0ZKW2onBIxALaBaayF7/vOfn2XZtm3bFi1aNBgM tm3blu/CQzuWPdq2bdv4+DgRFXGIaH5+fmxsbH5+nojy3XyKkLGxscFgkB+oiYxO+gnsn5oc i4josV+PE9H4+Ni2bfOHHv8pjz2v9FMle17VvrnW0A5alTbXesnTt+YVtGr1mrd88OqxsbE3 Hfg0c+cUIvr243trG5ONEdHPf7bzRV//6n4T+7xo/4n83Lc2f/w/v/zaKy8/9fYznvujTR8d HPXmN1568Q/vWPsGou9vvHDfP3knveq4Bz976P0bzluc0X03vP+YqXPv+co5c7Nnv4DoBcu3 b9G11wlv3uv4k4jo1kv73yZT253bX1PP+B+P3H333C9/+cuFWLuuoOs/SUTPfOFH8oDrif6B iIguO+GZ33v/PrudcANtvZkOf8OaW+mig/Io991LROtniOib17z7vq9+9/ClT9/4j+8korUH 112oJmC+Eag+Ptncpo0HvO5vinPZ2E549sfGsr87/01FneTP/v856xhrbZ528Yy6e97l69bi HRUfNFHjgzqND+o0Ps46tX7HNyOY0WoSNCEW3lG93FOtFfDsxwd1Gh+Lr0pjy/B6ZaTapQbM FC8bn3syesoXUuJD5xsheIVkbplbbe+e/CB4xXPG7cm1Rr4WLnSukv+0hlSH01NzSw6qcPeY CpWn4EokH8KoOKfCWr8B5fVYjrmmNfmZZL1ytC6YYY3mJVhAqZNsn3Zc1GTeUSpdrlBKtE47 Duo0PqjT+KBO47NQpx03/AkBPY0P6jQ+qNP4oE7jY69TbXIn/7eIr03kH9kvVAt1ygxQmsup qIt7WEeDRrAqC+oaQ5EMEfWVuuwpM9bZJ1atXmMGeoyf9n6aWqzH1G8bK3X7x/xA/euFlk6R eJGFlrJ51hTGjBYMv7ACsS8Mu566HlvrF5SikLl/uzYw7grPf5olzyObn7+0+NoWy67UNAph tMQZtKW2zFW7TETLqLlkMktljWYmQsqXCS2RovbzmrV+ZCzCzfukzl7QbqRLWiuuteSspzT8 tgct/USjRrB+IjQv1zTRtSW1mYJVDGZHa/lm19pik74k+T2q46BvGp9Gtwa2rnBTa/rBVBGs UT0dGNSdfjBVxPBbi64BKuZuNvKax74utemc1dggk3xp1LolCcb+7KsFK13jtxVKeyUka9LX QaPvqLrbah1pC6ItFR/UaXwiP/sB44ERH9iIo5FVpIpcp3zzRfLS6MEHgsjPfqyWfJebSqVE rlN1hM01RlVKFSVlhswrDqLLCaxTlx4VehpcrRUbwtaRw4r32BeM9cUHban4BL736x61C6Pi +Hwpk5OTkkc5sE5Ne9QFu7Fhw4b169dHT9a3aCJ/qSapPtbn+kzdGOXjUjmdGlRlhNEeIM0Z wOU8EBfnO0pr0zRmLiVbhpUKw7SoTKLXbKA97YL1dKHVoLVa5W3Vqamp4lg4noD2aXzQPo0P 6jQ+qNP4YM5ZfKCn8UGdxgd1Gh/UaXxQp/FZ6JvmHS/X25/3YO/9lJRS1HpD3zQ+ePbjgzqN j3OcXx7uWtHXOmtai1kqX6yx8CbH1Lm1j5kZ5GTz9TVHjs1w15w4yb7FfElKV5FsDOk7quLy gg0n2y4tb3jWvwqlKn59xXPN7MmsPfuun0UKWmpqst30KLDivd+htQblxXN9rcvn+xe1bE4o 8M2oRdDmjw/ap/FBncYHdRof1Gl8sNl5HOw7neOlHws8+/FBncbHb6zPjGaO4IGhfhTtsKpq T1yyv4jZ688vHJ2XHr5H1QvsaXxQp/FptE5H5CUmqlN5M8D3EmHMtG4G3lHxgT2ND+o0PqjT +KBO44M6jQ/qND6o0/igTuOD71FxwPeoesGzHx/UaXyqfo+KKkxPcM6Pyj8oVfRjHp2XHr5H 1QvsaXxQp/Hp3J4HPaBzex70ALyj4gN7Gh9Rm197/E0LIFyjkDcgpYnwEzUZ8RqG01PNbU/S +K91kU/rRKnS+WrNE9+e1jGFNK1pqfHtaR2FT6hCST6GEstvh79Ws4aaw7D1uIM45/BKXkSu GfrmTN7gtWk1G2pNPCDZWkH7ND5on8anxJ56mS15w1NrpZWGk82GdqdBqsGth6IeWOW2NrnJ KK05Z9+1ELcrXL5QQheIY0/Taj/WTRx7igpVCf/GZ9o+Ya/U1ZHnA4Mfc3NkIOByL+ztU37l GDPXgCVLtGEE5ipru9gaRzI9zpVC6Sk5SbZPg0vejN1Psn0aXC/N2H3vOuXbWNaRTe2UJHFX +mp4B1umOR7PvsvCqg9UYde00jJtSevggGYf1cAiXDhyWowSuBq5rguDad+eNty2dWUXUYz2 67R/JPmO6jio0/igTuODOo0P6jQ+qNP4oE7jg/lRccD8qHrBsx+fmHW6avWaiKmlC/Q0Ph51 2s3Byg7it+eB/CPVKONRp6hEIbCn8cmgfdGBnsYHdRof1Gl8ssFg0LYMAJQwNTW1iIjuueu2 A1dewcTLsizLiLIs2/FfDi0cbz9c+JMpsYeuooXrF65SwvLYwxkpVy3EpeGMjKuUjHYc1pSR dsJSzO2pGLnrQim5W06TcqUt94WrjNz1/CkbzsOS+/YgW+5KRnruO66KyH47byb1PfXFv/rj o056xTFve+kDN7/vP+Y+mv8bzP+GiH625fLH7rt805nP/dbmj7+YiIhe9O6zfzJ3Kv3hqbef 8Vxr6p+5Y+2xO46/v/HCrV+/8OErDxdKds9XznGc2fvOa/6QiE7/s3edvivd8fkzbr96dXHu iPecfutVq44Q5gGCWPbbDy972kNLn/rQgb/1vQN+68E/eMqDL/5vD3zq3JVatOMOeOp+O2/W /m358ro8/E0HPq34l4cXl+QhxUF+Kmeo1//rXb5P//VXRMtNEZ+y1yrKsk1vISL6z+987NBP PnLduZ+88vBT6Xv0wtVnXX/Ks4gefdafPvroYXevpuNee+NZ2uXPe8m5Y68+/qG1+9LL3pCH vPdrdMRN5/3xdfS6C/50xc3nv43+1+ZXbKaDjt5nxYVEtM+pp/3jsbsQEW384sPL/uffHHnx F4mINr/p6oOOpL3f/K9fOuHgN7/y8397Lr32H4/f5Q2f+/Gebzrh5B/8/ck/eNX5xz3jK1f+ uMK9ACWYPoa+KTCXWOcy5mSDwSB/+//8vku3PfHE+M7/ZfDEr3/9G/r1bx4fz7JnLXlPNrbT wqsBb39bRtoJSzGznrz9X/L0raZ6rVq95tSLrlavOu6Ap5qfOadnZicnJ63he75mteuSPV+z er+dN0/PzC5oKvMQLBQDmmrLSDthKWbWE001rjJy33FVRHJN3f72v336pLipg9oYEI3icA1G /kAaQFNBGnjs0hWwLE9pCpKzAJDLN2V6ZjY/WHn0ETQ8IVGbtEjGvEV+DIKGV692LaZkjVNI BXpMrnImdk3VRhM0hzRm1q5rPEwNt8a3op11lQH0BsYYbR+l0kIxzxe0wvTMrNUeLYxSlV4f W6RGMQecWymRddw7Oap0J6q4l4o0dcOGDevXrw/Oo0lMVVi1es3k5KQWWHeJhGKkSLDzXcUv Ah6jVMUXC+0vFV+AjGjV5asbV3HMQDM8etG8lnITrvEZLAafjut210f4eGqWLfi2as+ZWozB YNC8sgrvVlGEQv5c/9TiaMfmJdXFKLAu++z664rDpyBPuWsTQTw0VdO5/Fa5tFC9qc0jrOVc SK1QRTHNs772o+IqeeoIne9fa2rWEEkKJpqRauBG+82fNI2o10HdTE1N+V5iNZ8uyfmfVcRw UdGw1WEXgzuFFYXBKBXoEMwoFb77gzSApoI0gKaCNICmgjRw9v2xfiJoHqYrb9dUdPxB18Db H6QBNBWkATQVpEGleVSSqwKS5b0uwGgimkeVY27gprpQuGZHMbOs+OlZKq7JVVqCqXt8A6o4 j4psW7pq2xe6ZkcxM6Vc07NK9zR0TdvCRKvUwTwqkAZV51EFgPZl6jTjSb1q9ZrL162VxKxL U7HUddIw3uJaz6QxkTz6/r4hWmnNuVZquDY5yZyhZc5hMr3xrflq4ZoYLjd+1yQqpiBMCmZ8 ZvqAWTnW1DIDpjasFeuS3Atmoot1Vkzwnvbe46nmdJwc5vEqJnu45lSZc5WKC122WZ35RMNT ZcxLXIpIxpSbUjQlsIqniqFG8J2uwz8GavrWIhdzwrLhGW9FuFwSjVzbXMM42phM/tO1fq8c 0dufn4LjgpmdYs4Jsda761TxN3PPzjOzM28qMwdIErn0KfJKzbycr6XScrnyqtgwM1fHMcM1 9bAOGfmCvj/oEJidApIHmgrSoK5RqtaReIJ3vIXTQWf2LGtt61LvUao6hvSj+77kaGM3VQge WykupwpVZx3wsh7HKm8Hkb79tbrml4uR/3VlIV/ohiHu1wfN58ZrER7Nk0FSGwX88PDoINXU 0vWm26KBz7bqV5m6MzIDtaFQM7wYvu237jY3SlVl7DfgWrRT66DudmoLHiomVUoYcG3HtVBC B4vQ4ksVo1QgDTo9StWY62AH29/UVc/Jtuqq05rajOtgZzsiHfScbLGuAr3+XGflZsBr1Inx fGP+xqKibZMMprriuMZQq/9NjnCvP2YwnBlZJNv9YLr2Lke+tjCnKJL7qbOW1JpCTjcbIR2h BV8q+bhsM8M0sUZeoo83Y5RKDW+hnSovajPDNLGqPvotxCiVCkapQBpAU0EaNP3278FHzsZY tXpNElsrWu9XLnzEW+nhS6X1+q3eVRKSGyspylvRea+vNNPzk46n5uv5FCHa8j5qTCq7l+1u qhaGVnwK9VH09YQsYAZEtVnd5rF5wBwHU2WGtASRpmqOlWq4cNkpleRsakEzPV+vm60+8/lx MaGc3xROC6zuNJgrQ31V1PR4KtqpVqxjsVXaqeZM/1qx7r0d0E5lxlMxixrURYAWYRY1aIG4 xg6aCtIAmgrSwD7yH3HfbwCiYNdULEMOugbe/iANoKkgDaCpIA1EvlSu5YZLrzJ3pQpIBwDy sqmqYgV7WjB+HgAw2DXV/DrPeKIIqdV9AfSDWnZOq7LOFABWapnxBx0FTRLi8y8nYgNUE0Bz wjenJHgdVxeMSSSs3kxRmWKqufS10R/So6ri7i5PQYUfKHBtOSS5ZxOCBXhL01E9yvnVN4SJ a7snm8W0Voj5wPRJaz1mp1CzJS+dSsDsr178tN7yDg6QmY9xgIRqn7V/vYj4ntQd1IMug+pS qdqj8hq3r77qtGYPTIvushyaVPKzpgXSPnZYz/LXmmetdg5qKsTva2rpuH1pg8/VODPvnyuO JKY1TeYs/9RZz1o12CqV6xh44bEjRZSn32q3SPYS9H1R8vHNlqv2FKkhrs/CpWdBLDDjD3QI zPgDyQNNBWkATQVpAE0FaWDXVHSnQCswU01hU0EaQFNBGnjPo5InXTpQH5YsGE38vlEJP5My 31dd30jlnoT4DjSaSOdRUSSvH/lXezCC1DKPCoDo4GsqSB6pz//E8P4h2tnSkFhneVxzMybY GUjVQQOmAQL9U/mekxnCd4YC/FyFKUsIy0tSAyAiTfunFjR8R7s8iQpISKBHBd0aHdLuUUFN AeFrKkgFaCpIA2gqSANoKkgDaCpIA2gqSANoKkgDzKMCHQLzqEDyQFNBGvh5/XklLYkf3QEP 9JU251HlrifCxcsxlWrEaXkeVaxkQT9IdR4VlHjUSNXrD2oKCqQ9KutxXJipWgB47JxGippW n3vEqCNMKTDx6PvX0WrU9BW7AAMXzfWoJtw7jQCQU7VHJWxBMpOki6FTYUauU1pGvEh889oc 3CWfkqrRmLnU1oFklwyuEGJrZkQImUUtmfZuXh72iav4a+6kE6s1UuX2uzYtMn8Ka4BJcMSp a5QquJZLTa9ru1Rh+qbq+wrARJsY3pDXZUe1dFzPpDXHkVXfTo/8g1Ejwsi/vJHEtFaFecnR Wh3W9qvZUnQda0mpzVDrT6s8WsouCa3ye5Z+tPB4+2vb7Epaq66hU+u1weOvqnhkNGqte726 zgqzcL2IzdQk6U9gVESAtO9fqGl+h2L1ZlTkN9UV7kpBkzagGco0Xk3VL0KYvVj5dIBJSDu1 DjUFgKKPpzLv04hESVbSkI0SX2uVxooPCiKMp5rjLJIWpxbNTNmaF/NXUoQiTWEDwCu+KnOt 8UeTWsZTW6l3Xl99ey0BvRzfUkM7vejWeCqsy4jT3HhqaRytcaZeoqkpP/TIDFtqifOjmIxs avtkomxk1Jp+rKansFatbSGzwsktv7WYpXXbTAvbY5SK/+7PNy5VrB8h+dxLUwj4XG6KZ45k mX+FqXk9Hmp8YSO+VD/UXoQmgOvF5arnjrgiiDTVHBe0xilNZ0IZl50QfCI3UzZvgORy4efy CccnA+v9lmSqXqJ9NymltD7NPeiq+0uYxSyVobHWWrfaqWDEiTCeKgwMwNUKdL3mzBeiS7Zg CYWNYDWORB4zzRZfpiodEYPHY5RKaydZmwRme8v618TVRiTHe1beLA6Th4F5bq0NFWsirphh f6un4/rZHeKPpwZ8vpf7aEoIuFzSSlZbqGacwh1Ckl2X3Uzr8+uoCNqp/cdL7drV0VRXpgBR qPVLW2NAU0EaQFNBGkBTQRpAU0EaQFNBGkBTQRpAU0EaYD8q0CGwHxVIHmgqSIPuauqq1Wva FgF0iEVxk2McjgCoQi1ef6YXH9n8KQGQ0923PwAqkTVVddRn/gLgi6idyuwRCEAz2H3+AegU 8PkHyQBNBWkATQVpkO22225ENBgMsizL/xY/8wMiMgOzLJufnx8fHx8MBvPz82NjY/Pz81mW jY2Nbdu2LT8YDAbbtm0bHx/PI4+NjeXXFunk5D/zOMUp9W8hWx4hz9QqEuTvq/xZnhAAXWYR uvyg+ywiogNXXsFHyrZD2//Lj7cfLZzOFoKUsIWraCjK8CUZLaS4EGk4o6HYlpyKeEMZaRnn AXo6Q/kP567Ia1ylZj+cu5LzUDpDVw3n3mRGSibDV5GW7oJM+lXDt1ir9Kjst/Pm7aP9N/zd KUXoWJZRls3Pz193/Q0f+vTWuFmCdHnr8v9uvnunZ2Z3W7FKC9xv583m5atWr7l83Vpr+GkX z7guOe3iGSo6+we8+IWXfOmhj9/4wF/cfu+S/RYv2XefMz9zz/a4rzvtZ1suf+y+y2jxUT/9 5yPzsP+YW3cC0Y/vvsRRoiU/vOPE7YevPmHr1y/ceusF+zqiahw9dc6fHWqLrsbYAAAgAElE QVQ/te6L7zmSiAbP+MYXTqZXHHX71as//PKFs7dedfrXrny1LBPQGhPK0tXMSnjaqe1q+otf Pb7PXr/10/FHHxt/hIgGg8Ez9/3RQqwbP/2UvU4nItp1xU+/87EXExHRxy9/ERHRC17z73d9 9EebPkJEj9z5YSL6t2986I2XHEe0+Ae3n7D98luuet5B77v2axcQ0fe+ev6Dt0xNENGKY+/f MPndKw5Z/Ed/ct8N75/9o2cR0b3Xn3vRS4iI6NDX3f3Pa+7+xMtpt5ff9Vcv23Tt0US0+tLv vuWkZ9ArD7p53afveOfvH/j6dS9/5+o8h6v+4fSTj73spW/858rVCGon962z+nu4VmvbrqZZ lt356L1Pftovn/zUn+fNiytP0S05EdFD1z31nG/f8GcvJqJ30IlERPd+OT9z3t4Lsa58198T 3fM7B35Wu3ribe/ID665aN8Hzn3B779yao+TbvzCcc/Y69AP7PrG0445/33rP3ThOV8nIpo7 cy8iot99CRHR7+6y5MgZIqL11/ze6w+69Izff9dNulzPI9pC9LUrbTKDqDC2sD4WPFGe/LSf P+nJv3zSk39117fvJqI999zDesGJh+933XWfXPHKEz+76m8/Pnfimy675IFPfeQrh7wnP7u/ K589D6etN809+EyiH+32squyjB64eeW+RK+94JAiypatP/7jXZ9V/Hzfq9dek2XZ7i+nf/1x EfjpH+xx8u/cT0RbifaiXYh+stfxJ15As7cQ7RlYA8AP3x2RfC9R9zctwrO5TRsPXHnFD+78 6NOeMk7z8zQ29utfPfGbJ56Yn59fd9lf5l0otY+Jnv7I9vT/aPlzXF0ordLjdqEWevq/88Iz BoNtWqSMiMZ2kjwEYBRYvny5Ndzs6btmuTGz3/iJcdutKS+f+hzDmo6sNR2+avgW1zxumsHB HnQfOEmBBICaggSAmoIEgJqCBICaggSAmoIEKFdTZpdB5quudc/SmnYrBb3HYxU0de9uc+tO 86z5fdYaR8vFehaDuyOORU3VJU9WHn2E1RXAdLXSdJFY3cr9tYr41n1QtbNYiGUUmJyctM56 sltTdQnqXGM01dHiC61dlR01mVWxQe8pb5uanqqS7cdVG2lNgUnNlTIYWSzf9F37+DZPrs0d 3Hkb1IRr8/JOD0hh9UmQ02k1BSCnfECqB11srQ3TVok60pSqQpWuQpW3omjcdHJyMjiDxvBa vqW+EvV+FZng1Zyq1EzPX/odeRV0RIx06bmapoV8YjH/2VmeXVgi6kySYi6LPN8APNRUFUj7 6xK6bukrYpbFPFCL4Cp1RJoc1uDzYpS1+VUcw61ptmPRSV7ohjU1YLEDq/zW0rmOo4hRXKj5 MxSJmA46/EZczJZdkt28OjUOGPmlry7xmrWxeKrEo8CFxEAKCxUmhrojXE7cTxtVKqddwtVU W3RYDS+OW3npu9YnKiVfSVkL1F768gcvQAzNmEX/UByl5WrSgD3y285UE6hYylqLo0Ywr+oO 2trbaqD1FCnrc9chj/nVjd8XTrJfHBPHNymVogaaubMeamptmTENuIZLEoZVSFebWwuptVzw ZFCJvDl0u3RkeDKKGNV1tA4tn9u0sZXvFyI1TeXLivxrZK0l6sFH0a5R3oXqX6X3r0S9B1+h QAJATUECQE1BAkBNQQJATUECQE1BAkBNQQJATUECQE1BAlg+liYxQQ+MFBY1TeULPhgd8NIH CQA1BQkANQUJADUFCQA1BQkANQUJADUFCQA1BQlQaV8o4YW+yfJrzoARJGQCtHUjKNduT65d owqs6Vh3PzM3i7ImCPpH+b5Q2llmhSNmtyfXrlHW7aaKv2q+rsSLyzsySR9UIXxfKBNf62WN L9luSphyngKmNfcY0Utffbeqr1rzXW/d7cm6zoz5ypYvR6O1a/HS7z2d3hfKCjaL6jFJ7gtl BZtFjSDpqSlonsX7L60jWXmvt5YV+TDYmTpde1nVtXBkl9c0BaV0bQYHXvrAg+BPkhURqam6 KYf8Gya/YY0WqB3zi/a7tvhh9iiy7qfjis+n6TqWX8vka62c0tK1haoVzEYr5q4svkitabHh gavV4sq+WH6fSZxRAlMdtaTkm+BYsyiF2VlAEt8LeV5qbWh1Yn0q6tuvS/2sWIwVml8Q1Z8B mipVU/5xMUXR4G8evymKVS9dO/vw21FYt7hgBONx5aXuKRW8EYowXzOj/Ni1UUdjxlj7mq3+ DOifSbtQTNJxe4Wm/pVaYl5HtcCKeimJE+VJqK5Prmqs+LQwW0ialpUMKxb2XSZCT9/1WUjd syavmiJEffSJvbV8Q1ANV00voyiahbaqkWkFrde6MOXh07eiFUcrgtCQqw+wPGsGq3ebFm71 MbJeLkekpvKdijSY7WysPyX7+AiPeTFKr5IIXHphFVF5yeV/eZFSoekNdyLWUYrVnS7t+knW oqZt7R4EauKeu25r1xsJw/sgAaCmIAGgpiABoKYgAXq1tW6B8HNc19zVVLrpDNlWjfVTTUkw XNUpHw4rHRxxa2sABy99kABSRz7rcSzirqdSYLpThaH6MYZdThXqTfNvUj8ju1wE+4efNW29 weRaycdKxJemdWK3XJJSsBIRj4cjn/mz+l/fNM34zTTqzdVZ1L98WVzhZhyzLKUuJiOChzU1 faCs3llCTy1XnA72vtWFM4oQXr0YzBWN+Pi8X9iI4OG9bwaaq46RcQtdMG6LQpHC4gdgNYrB j5O5uhaTUe79WPxU/fRMJ70em9hGVz2pcne9rp1YskwyINVBy10gKULz1D0g5Vr1pKFx0yrt SCwUBdJbQwr0mP6sIQVGEKgpSACoKUgAqClIgO56SDX25bCbYwjd/HDaVl112poOGqHtUjpp pvhetFUVnVZTAHIiO/JF/9TpWpJO8jcWLTrymcWpUiHpOvt5W1OzdRJ2A4QueS2+aFTCFugi 2YYW8OIrxVtNJaucxnXJ64JHxYRteVdXoWJ58YGC8J5+qS9IlHrvgo6SoywB27hpugvVFBLe hSp12IvVTlVnU7iWiZQvcRqRgAIyC9IyxR8ML+7nWwmtVE5cWnA9EbrkNebJFsU5rYqPoivB DupTzx35cuCSB8JoVE29FDStZf2iP3tpFb9uMLwPEgBqChIAagoSAGoKEqCFnn4pGAqgtte6 j0LEYc3ObRGRomNETUxOTrYtQjnNDEfgpQ/iE/1VELIZ5ISx0y75fDlMzp3MWl7QJFJ/U9WT TejV5rqjHfwGWIq5jFQwvo4QEofRhJ75MCK/9FWTw6hyog4QBb5LDvIhfKXxFaX55WjHhVpr B8xxGNo7NjqVPKSs4aVOGOnqqLkgIbPAm7bsnvX+RRnT0CpT22G1OLbuwko7bkfFO2LdoTQi fgtHMqe03X/5+LHWcW4XfrlMzXbySxoyIV7wCqeeLY41L8Fggic4SGh6RT7JgNSojZtalXh6 ZjYfkDL3k1br0NzaWVO7gbIVtCspM1k51gGpYBXqhCMfCEB7d8vPaorLRO5+G6xpR77S0eBR M6VUT5HVF3rdNPDBDNa0u6Tib9rAMqP4CtVRsMSsCtQUJADUFCQA1BQkANQUJADUFCQA1BQk gH3ctAczHECKLN5/qTV85D6ggxTBSx8kANQUJADUFCQA1BQkANQUJADUFCQA1BQkANQUJIB0 OYmA1U20qZXWPWsAkFA+yaSY96itfeJL3VO5QY8pt6bFvPtCWYV/NazLMMGyAgkWa1rMEKcd s8ZUaxqcE3NtfsrldgBGCo95+mrU6DsemeRZpDKREtSHh4eUfMmKBjQYjBSRVz3BRmSgSQLV FAoKmgTD+yABoKYgAUQvfXWxWXnSETtYZlPYuv6tdYi39LiKkOqIb/C6xNY0XWKTUUwtl172 a6XWtIExKT7EuhxzLpX6lwzFVSMXdzfWQvqqGFbku7JrabqU0lrM3uOxk0nYVyhriCRy6d11 3SRtEWdXuGmbvT6qMSJZHzk+cXMF9AC7YC593xs9FqmpZooCCm+uWi+PXCqSeYpvEpCtFJpm uI5LpXJpmDxBbYV4YdZk2PU+vf2lHlLqcdiD7huZMZYBIpk2mwyFsMbxEj5PsDS+fMn94Jrv k45S9LX306qdLkjbBRm6g+sr1EgPSEE/UiGymuLG+4Iak+DhvV+r7/3E8AQB9diUwXUVn6Yw RzOv0nyFZ82YQIjHuKk2bldKWB+I6Smb+4MFD1i6+vXqUIA5Wl5Izu9aZj2LNmgVQnaAVgO9 QtTwgBEfrzvtNealamcRYh3R9MoFxMLbmlpPqT+DR6yi33K5QTWHdeUDkMxZKHEsInShtJe7 cPy/+lhsafpC3Sp9G1hjCs8GSg+GaXTPUgB4MG4KEgZqChIAagoSAGoKEgBqChIAagoSAGoK EgBqChIAagoSwDIBuliOD4COYFFTrIwHugZe+iABoKYgAaCmIAGgpiABoKYgAcrV1DqlU4Jk 8Q/4twMJ3mtIxWJixy5TrhnV0GBQ4P3SN2eKuv664ue4FuksvRzqO4KI9oUy8Z2+zCxSF7aC FzaR6iuB+0JZ8V0ogV92QU6xMiM+lfWSWvaFAiAumFkKEgZqChIAagoSAGoKEiBwfVPtbGlI rLM85jqjxYEqf/TvFBFTA1YirG8atkpZw3dXXWRvpHZU6geB65uGfX9yrW8qv1aSr0t+9dhr UyjfwoLoRFjftKDiSp9hi/EGbCJVx6ZQsNC1ErMLxdyq6i1aVy6+a6n6pimUqo4lWkFBAl+h oAGjA75CgYRJQE1hSkECagoA1BQkANQUJADUFCQA1BQkANQUJADUFCQA1BQkANQUJADUFCQA 1BQkANQUJADUFCQA1BQkANQUJAD2hQIJgH2hQALgpQ8SAGoKEgBqChIAagoSAGoKEgD7QoEE 6Mq+UNop/sKIYoAkaG1fKCZZPiMwgrS5L1RFsDVUL+nWvlDFDk/8hQz4WtY/0tsXCgvxjSBY kQ8kTHfVFKYUFHRXTQEogJqCBJDuC2U9jkvw5y7Qe/ysaXQd0hKU7JcCRhCPfaHMn9X/akoJ awqseFhT6xC9eUo43mmNA2sKrHhsX2YGWjcEEzqp4DM9kNPoVyh8WAI8rq9Q9m/60bG2RAEQ 0pCaQkFBFaTjppI+OLNhqbC16spIa8hqezNL5DFHKlxjF8KSajtDW1NWD6xpWsWwOt2O+KCy 3w7Q8n1m1WO5Kc1zYeKb46zBXTFXcYQllcupDYNo4dqW6cwW2qP8Rgr5WMr41Vdsg5qmSKh/ ATkWOmG1ZxIPWqvZyy9kngEmEU1lmZijRuRv+hWf+FLrEnFKVq3WVC6DFuJ6QmBNYxJ3NDRX F6FtE6bZmE3iR5qt4Riwc9Fd7/2ChG5eQqJ2k4S99xO68QmJmhYJqCkAouF99Xt9aUxXm6wO S6P11q3HRX+Ij6klmx9oQwFa18p1oebhYJ41f6K1wFPJ9aR5mA4Q4/6idd61RQYk/X21o60e m+O4Wgqq5K46hI6W4uFvqpkW7TOMdRCRbIqlnXWNwlpPMaPf/M12jbEz8bVLhOOgWgqahLxg wEXgGlLVK1c1TqVxSrNTI7jGHV221pW1y5ryV7niW8eAC2FGeehegvdcqFgD7F6JeH0UVe29 9TtTRMx3CH+sXQs7KiRk3DSV+k1FTlAQbdw0oXufipygFG81xb0HzVPV37SZZl/1RDTfK/7b enB8bYyienyQU4u/aStIOu++nf2AwYH64o8yVf1NzZCwv9VT5lsjpQOrFeOT4DmpGH+UCf+m b95CSYgZXsWjWZ5CgM55xfd923T/7dQpwtXU9XmJDzHDA26V+a0hLJ2IwJTWSrf8TRMa7QJ1 kLC/KQDdUlOYUmDFw0OqtDklieAaj9SuLf2pjji62sTFWWFT2JqsNQvhyKgrI1/4pLRiMq12 fpjWVczS6g0okS/S4X2Ji5CXD5GaeGnupjBqgryPldUvyZqL1b9J4utUN5Ka5+tBq0OXK4/L h4vPtwFNrbrLXumIpkvJigPfcppKwxhLqwBkmBlrsi43QlNg02jxbwNGGK/qLS1mKYy/LCOw lm8DD23IN33m7prhpuXzUkprLagqXjqqL69EYY2XRpP77Rfx5adc3rSSrxtMBK9oWr7dsqbF cyy8l8JAEt8nU4C47b/ScgVkJ5HW97kNyNo3Na973QCtjZt2pwoao+Eip1jDnRs3Ta4Gq9O1 jldCdGvcFAAr3nOhXCFhWMc11RCmI8/IUHE8T8udL75EJLOAfPyG6YgYDLVb01IV13qpc8Oz 4Et7V3VXsXXcVD1WxyCt0ppjW13zjWqmJqsQ0tMXhrjC+YFPErT9S/PVOtelA5OleblkK9xS tXDr6CYpIz6uyGF/tXSCE+mamS+oxZq6rIV1FDBKSz/YPklGQPmU1QjCsUlhzDAYmc1w87NT 1xQ0pxY1ZV5/ZDMA5nGsHOWXl4ZbXwW+WTegBBPuL0NmuFWeDo5kdcvfNAq+tdzBuxKRgNK1 WCGdGzetD98q7rGOBtDNh7aHagpU+vHQQk1BAkBNQQJATUECQE1BAkBNQQJATUECQE1BAkBN QQJATUECQE1BAkBNQQJATUECQE1BAkBNQQJATUECWDYqn5ycbF4OABgsamr18gegRfDSBwkA NQUJADUFCQA1BQlQrqaL91/agBwa0zOzzWcKOgusKUgAqClIAMu4aTDqgkTdXJUAJEpkaxpr hT0AVGp86fOLcQIgB21TkABQU5AAMdVU21nP9RcAX2BNQQJATUECiMZN8ekStItl7X0AugZe +iABoKYgAaCmIAGgpiABoKYgAaCmIAGgpiABMG4KAABxGGtl6igAAPSM6ZnZBfeTA1deUSWt LMuIKP9DGWULYQvnhk8W/9txmfInj1mksCOhoVzYvJTElR+2vPQk9J+Zmf/w/w0nXPxYKIIh le28Vk1mXlyJhmvHXiJbXkZR1LwcJXIkbdy0shK5K0i/mZbbZ63nIdmHlc6SlyNPS162ElnL bivRcEnsuWiVbi2Rka6lRNaUNM2xPiZaiayPia4jtkdSy9iRl3n7XHnpCtRZ9tt5c36gu/Od dfLzhEncetf/u+Vb/5GXHgAAVN66/L/LIy9fvvzUi6b5OMcd8FSvBNevX+8V/7SLZwJyya8q 0O3pmWe+W5jWhz/80Zu/+aNsbCf76cVHfevqFbs/dN0hr772m3IBO8nRU+dc9BLacPFFb7+h bVEASAfhwt7y2Re+CebxmfUX8q9HmgBVxNY/mz5pPLv1q99Z89dfOfczs+//3Jcm//Gfzp+Z +emPfzQ+eKL4t+KMvxsfPDF02etO+9mWy3/2l3/AS/Cid5/9H3PrfjJ36ZV/SPSHp/747ktu P+O5EtF3sOQzd6z94R0nHqsFv/qE72+8cOvF+xER7Xn4hlsvePhrb1rpk24dHHnue+685tR3 PJ+IiHZ96edn3vWNNXvRrgdd/fkz7rjsoL1ol1UfX33b1Set2nXoqiPOPP3Wq07/0MEtCAxA X8nXZdL+SS6cWLKsMMfqsQvdnv7iV48T0ZafPrTlsQfv/9mDD/zs/gd+/l0iGij9+n2PvNOe 2CEnP3bf5Y/d976LFg8Fv/g95/zndz72zXdvN53Xnfu3dOGpJ5iXZ8+ZuuYjj25673l70+Co Nz9y54cfWfdCInrjpRf/2zc+dMWRfEF2sOX65ed/h2ifj6zdl/Y47MavfuDGtz2biOhVxz54 89S//O9n0YpjH7jpvPuvOGRfIqJnn3XBIYtXvGHLjX+65QMTRHTMB96/+Yb3/cVhRIetvPf6 c++dGi7J7q+4dvbsa095FhHRIa+7+8tn/dPJz6TdXv7FL733rr966zXXvnfTtUf/zx1xr73w 2pvp6SefefDeREcet/R5dP95a+/b6+A9nke09bYt99GPr7/tJ0RPf8VLd1lI/+DXTB5ARPSy 00+/9apVX7tk2R6yQgPQZUwzlMqaXbnlzS2pxAob06GzjIie/Nu/XLTTE+M7P7Fo0W8W7fQb IsoG87RjVHjdIR+yJ3bjp5/ytm9sH25WDNE373+E6Nm77/YcejAPuPON5y75yYX75j9eeMZZ 15/y7Ac+9ZFlH/u3+x4i+j2v8lqY2O2ZRPS9hx+dOGz584m+l4d+5ardrqOM6PUffAER3fjZ G++mLKNHPvS+R15/wSQR3XjzHFH2hZs2rz1o7+UvnziG9iai9bfco6a8zyv22pXooe2F/fy+ 67OMiHZ/ARER3bfmyFvuXRhzJ6LNq1c/4wvrlv3xSfR7S+nmS794LdHekgLc8ZWDPrKFDn7N raf/waff/ZODL/luxQoBAISR2/3cjKrHLnR7OpZlP/zhA2/fc4UW/u257ZZlnxe84NePP06D gSWxQ05+7L6TieiBv/ngC79MRES7rrjx3hVEROuveNqqO1/87h3JXvPJdxx+6cdfSUT0rUuv v+6UE1ac8p4fnfLoAw/vSOqfrvvzt0z8ycuP+7/fPE7JYNMlVxx6+EmLL7l97SV0z7uWfvYf 1NxfduzWrx9LRLT1piNfev0cZZR9/Pn/ctiNn3r7947fHuV7n/uzw8457+oVxz5w7nn3n0NE RN+/5Zg3n3/MH/3JF87+0/vOJiJ66MpPHPHXjxI9usenTjv1rHO/c9ZCDt/55CcmbnrFtX/+ lrt3jDg8/A+fPOoWS03syO+rZ1+95+dev/Thq694101EGd332c8c8K9H3fHOE29/HRHRzR9b d+Yt2V7Hn3jFMU/f+oXPHfv3X37J919y1YdfdetVryKirddcedzf/3v3P24CwGPaoIpu72bz lk8wuDmsJiuRORsMBvn4a+4vtfq45zzpSZZPTDvttCjLxn/z+K8LO/q1Ox/96qbHaMf3KPhL wV9q6KaVlQj+UraMnSUy0rWUqFP+Um9d/pypqSmSsWHDhlMvmjbyGsryuAOe6pXg+vXrveIX 3/cDrsr9paZnZnV7GgzsKezp0E0rKxHsqS1jZ4mMdC0l6pQ9dedl3j5XXroCdZbCni7092+f Pqk9eQDoJQPjAPQZLDMBAABxgD0FAIA4wJ4CAEAcYE8BACAOsKcAABAH2FMAAIiDaPtdCdoM hNK5BJLJWxXF8Ercd2IZAABoxLGnmgEqlg+IkjifFxMeLAMsKQAggDj9/aJZVxg1zbaaxyqu OL6LZVmlCkjTV54A2QAA/UPaPp2emZ2cnNQC1YVXtYYhhS6C4IqTUJsRW3IB0AOmpqYmJyeF y0vn+PX3XUkLBxwl0eTdeQ11mUK5SHXgdQMAAL1hYT0Unrx9CkthBd+vAOgfvkZvaD0U4Euw LwEAoJfAnoYDGwoAUIE/PwAAxCFO+3R6ZnbDhg1RkgIBXL5u7eL9l/IDPaNzjyS1AZphYsmy gXVvpDrJsqytvmPM/v769esjpjbK3HPXbUKnq6mpKS8rmeI9qq82AIgLxk+7C1pYKqiNHpDv XKK1WNXtTJpvzMalLntqrSOtNs3K9a1ua3wgh7lNGgHPQNI3zpxCTTG+QPqmU+syF62LQcOa kGVZlmVd1opSarGnpXUkf5yYpNQdwZK+B61gfZmpP7VTxdnSC830e/CcMIa1CGHmHGuWqIhp pmONb8IsP2RNh0/cddY1G1si4WhSiz0dDAb5I1T8VM9GfLTUJ7zH+K7dFUbwTbFeyPRCKtJM bZiWKA8pnYZnhpvLA5nhfHxeSDOdAmu+Gq6szRXXmERATgvt09zakuwZk/Qlqe9N1EKn01Ll mjr1zdSGtrKPamgKk6rK0yk6KNKI0M73KFfP0YQZUS0Ci+Zwj00qxX5ItErzesNJLqx7hLRu k6EZTTIaoVW6vaYtDrPRUdJxXWLWgJppWMFNfXANMSVKXf390mPzZ2mIakBLLwSlCG+TGSJ5 Bvg7ksT9YkyG1aa4etalPW7mFG+25JcwojK5BIg04sBfCgBvWrcprQsgp/efN1RgT7vIqtVr 2hahQ6A20iUhux+FOPZ0cnLSXG0aBFPHLKZ071GKc7rAaBLHnmLuSvfBPQKgbrC+FAAAxAH2 FAAA4gB7CgAAcYA9BQCAOMCeAgBAHGBPAQAgDrCnAAAQB9hTAACIg4c//9TUVH1yAABA6kjt 6cqjj6hVDgAA6Bq+swrR3wcAgDjAngIAQBxgTwEAIA6wpwAAEAfYUwAAiAPsKQAAxAH2FAAA 4gB7CgAAcYiz34m5SXet+3BV2QFcTaEgOKnqkgAAekPM/U1Vs9JlQ6PJNrFk2cSSZbyo6iXq cTcLCABohSb2i3YZI+uxJLI8cesleS5FZNdrQPJK8Cqa8BgAkChSezo9M2vuNhywZabLZEQx JVbTWRrTZcvqtm6qWdeyW7z/0lqzBgCUMjU1NTk56WXl/NqnwqSZ1pakmRmMMJG40YLR2qfq mAP2dgYgRbLBYCB5evP2KZ7ziqBfD0Aq+Bq96ZnZJsZPgepOAGMKQF+BPW0C2FAwCiQ37r98 +fLL162NmCDsKQAgGgkNCU7PzEZPMyV7OrFk2WAwaFsKAEaULMvQ0+JJyZ4CANLCnDlJvR7+ StieZllWHJvt1vxsEa5G1q7SYrpSYGIGiG0mq4rEh4el7xvCJB4gqpq+eS/i5sukH1ClfM0w aqYFjnLXSnP3Lp2OmC7R7Knv/KUqWM0BbxxzAnQ61sMgsdpZllkLooaH5UtKFZWKJCmCJpJq O7SMSq2b0JjKq8iVfqwqdZUrbvp9wrVchjaZJWzCZKfmH7bZPrV6EYWV3HywB4MB/2yXNqOY dMh4eEqPXQm6Hv6IrRumVRjxsS/StzZ7eevDE1YVtbYKmXIJRfLSmdLIpYFmOk3Ct0/5h72Y Ruia08jMMxRmEZHW1uvTXllqddRX+IGC11Vk2COXkQqgMGrmU2QN90qZ+UlRS1HIqbaIKdLT a62KKjVTURjyL1eVW2m9TaoYEhVNd9ihaGPmxsFcz4gUu2EdsVUNbiK+MpYAABStSURBVK20 PH4aZjq1hpXr7R2x/WW2RKpopyqYK53qbTGzwWutDd9GljB3a0jpJV6RmURqtR1VbrrX5Ywy M0MZpqgtWlJ+WQztbNxT8iZwRFqzp65WurC/r7VTrMeu+GFJMT99jyWCBbSgtWPGwPFF88qF OWayCC6dRB7XJRI55bnzaZbekYDKDDtVWgQQkWj2VLKSE/NiKU0njM5qUphgroZkxGI2kAXy BX0lMX+pKCN9/aOBammr5kct36RZvnx52yK0TEr2tK8+awD0g7hz4VME+/EBAEAcYE8BACAO sKcAABAH2FMAAIhDSt+jQKwVCzMsvFYBrBspZATVDO1TAACIA9qnCZPujOz+YZ0AmuM7I7b0 WtBZorVPXSsONLYSQUXqkFNNM5V6CEMrXcWC+14Sq57Drs2n1WshZFsgxhVffi3oOJHbp9Zl tbQIxbErZqxwMpYFMOMzBeETKc1XfcJdCz6SeL2CtDDLW1SCpGK1S7RA7XI1C/Nauf5oogrv i3XhvmLtkuInH1+FuRZ0n/jjp1b9toZoMfMVt6yrHJqL+FmfDW3lrtJ8S4tg/WmuDGbNtzjW ArVra12fsDHUclmXubHWhrVirTHV+FodqvG1a3m9MpNVr5Xcl9KFrwJWzEP7NGkit0/NVaNM 48Uv4aWtFGsNN4+FsnmUpHdtxloxLR3TuvS9ccG49Mc8G4Zv49EVH+PgvSF++5RpX1ibMDlq oLmat7UFYSYiCZc8xlXiW8OZa6uM9xWtmNYxa8zVVCRBkV31pl0uHLfh9cfV8fe9L+q9cB37 xu/O/QVCssFgINkye3pmdnJysuOba7vasL3JdwL+px0g1l3oPamrma/Rm56Z7ZW/VCsrcjec LwbUugDuArDSK3vae5J+2/cG3AXgAvOjAAAgDrCnAAAQB9hTAACIA+wpAADEAd+jQuiZx0zq fi0N07O7Xx8jqFdonwIAQBzQPq2Ka3W1usNBF5DcnbY0BJrTPJ1Yr6/Ktb6oaVZPv3Tli5rC u0Yddyog6ypiBFwruTttaUgqmtMzmm6flq6T5nUtGbO8G15DT1s/GK0ADeZ2U9nN8kpNPTXR 1GJ9AGg0On5qXT+NWT/FvNb1s8U19PLVKrF0BYNZwzn8zdLo2mJ9AJg02j7l10/zTaELoFka QDM3se7F+higFSNL/PX51Z+uFTC1s8WqqYyWmyur8pJo8c1wSVOIz4Lcz4waXsdxorhuoutm Sa5l4JXNFS7v79d9l6E5ydGr9fpUal1Dr2ceiJ3yE+z+2GXP7n59dEqvAhj19fpU6u7c4YNp TSTxBOLuAyu9tae1ksQzD2oCdx+4wPwoAACIA+wpAADEAfYUAADiAHsKAABx6PP3KOwGCupg emZ2w4YNbUsxuly+bu3i/Zd203ezz/YUgPpYv3592yL0hHvuum3x/kslMaempjr+JhsVe4q1 ywDoMt1sb/oS0566piSZM16KEOZURMHU+dTF8iUR0wdet7h56pYhygqkmPXfA6LZU+s6PbGS 1dL0fTywql7rWOfdy9fT48OtGdHw65zK1vFzLT0hUTZVwYq3Nd7iI0hz/X3JApfWS8yYAcYa lrQBmFtcGDJ1JRrrirSum26us+eKo4VrbWQ+HVNOobIVTVEvHXOppWaLhccBl/DHrRBgKLpD jfbUqqlexBoHaF1FRgSvu+OycVXW2ZMrTPSntL52qDw1a0zhEmi55L451kGhEmlZ0pxo9pR/ MIKvitvfB92BWaPPa509r2vzhaKZdAI2a6j7bV0x/YAmcBeGJlI0phS9fWqtBclapXETBA0j vINmT9wrNfkb2ksM/vLoq6BWuVaSTsVkW7ekSdNzfymsqwaEpPKShudfl+mzPU3lCQFATv9s 6KrVa9oWIRp9tqcA1MHk5OTk5GTbUvSHPs00gz0FwI9+zOQBdYD1pQAAIA6wpwAAEAfYUwAA iAPsKQAAxAH2FAAA4gB7CgAAcZD6S+UOd8JltAEAIHUCzJ3UnsLnDgAAeNDfBwCAOMCeAgBA HGBPAQAgDrCnAAAQB9hTAACIA+wpAADEAfYUAADiAHsKAABxiGNPtY0q1Z+uPSwjZucVXoc8 AABANa3Pz2zcpNkyc79o7XLfDah9qTt9AMDoILWn0zOzZuDKo4/ID7TNyslhm9StzM1GYhGe 75NeBKpNy7gmT5NBTd9aXgDASDE5Oek11d6jfcokXRhKq00Mhre/sbDKWbwqAACjSUCjKk5/ P29FlvadzWi+ycZFSx/9fQBAFaKNn7qMkTkYarY31ThaOi67HCyDJH0AAAig0f2iGbsGAACp A/9TAACIA+wpAADEAfYUAADiEM2eMlOk6qCm9KskK5mFJUnflU4dx0KR6sPM3VeeBuQPqFWv a13x+Zigg9T1PUr73GT9ms9oiSuO6ytWqauWGYEJKZxnGbFr+p4WkLjkK58wQVc1+oZHwawK VwjtuGWSu2xKrkU2CxJctOiq4poFAzpCfH8pqzsnM83JVGVzOgA/TYCZ5uQS0ipSEWKdQVAk G0uDJfYiLJ2wa13puOohorGwWjfeIBYhphiul7FVcvkrwZoR03is473bzEsdBBPNnhY32LR9 jJGKiJduyUWq6XngRWoF3rLXKpiWNfNGrJh4GMytYWx3lKy9hAGtE7N9qr2rtTn4VSyptc3r ylqiai6RivCiuWomy/QKJfG9+siuNJkiy/vmTPdZkldNs8tKiybPSCi5MP3SMavguylH7VEF JwLqIxsMBpIJ/9Mzs75LA0QBb+P6QN0SKgG48TV60zOzjc6PCgCKXh+oW0IlgKjA/xQAAOIQ /3sUEx6rbxWQjuQSl6j8cQ4/6CavFt80414r+dAfdotj5VvlGIC6abO/L3/+1Tiak5MrHevn rwnFS9H6QclL/lL3gICHuYrLQfVrTSRFqONaAFKkNXvq8g0042jhpkGcK3Nu1ZKSt1KrUOWz vjUp7doqcsqvldvKKi5WYWWp7jcCQFxa/h4lb7zIO4PBROwbxvXf1K5txpKWitG6POR4XQHQ Fq3ZU6EvHu8ROWd4iZZmx/T3XTnW4WgZ0RUx4HK5K6W8lc37t/LlDb7Wy2EWgLrpuv8pAAC0 QoD/KfylAAAgDrCnAAAQB9hTAACIA+wpAADEAfYUAADiAHsKAABxgD0FAIA4wJ4CAEAcPOZH TU1N1ScHAACkjtSerjz6iFrlAACAruE7IxT9fQAAiAPsKQAAxAH2FAAA4gB7CgAAcYA9BQCA OMCeAgBAHOLYU22F/Lp39amYPiOtJGXsWQQAsFLLfifq5iJ5iGufDPnGG+TeI8grEau02iXM zqlaHGZr4ir7kQAAUkRqT6dnZs1AoZO/aytT6z5OmoWyRtZal9bEc6yGzDR56j5FZOxEpKZc uv2UWQoNa00CADqI7yZPHu3TivtH1dpG80q8MHam1bZGI3fTWCKPZlsx0wyAJAho+sTZj880 N6UbWDLhwv6+18acvMAu88fnKIljpg8ASIKA/fiwvykAAFjA/qYAANAasKcAABAH2FMAAIgD 7CkAAMQhmj+/63t6RW9Nrzhdu7YKfH3mMF5Z1vC2ylJKZwUDwIta5ke5YLyUXNFcflelTldm dmqgNWuJh1Opg1eAbJI5YFrk6BNeq8gpcVwrTUQiDAAdp4X+vupIb55Vne3NZ8m81pwfZaZj TcGar+unerkrjks2syy+Mvviu8JAFTlNn1yXWy5TORJhAOg+jbZPJUj6sPxVsXI38Z0xxZcl rrGoklqTclYUBoAu0zl7Sp7dvbkda69o8bVwLXFry9eaDhPHJXZpv9hXZiFeeVW51houzEjN xVVY9PdBomB+VATQjAKgfwTMj+pi+zQ5YEkBAAT/UwAAiAXsKQAAxAH2FAAA4gB7CgAAcYA9 BQCAOMCeAgBAHGBPAQAgDrCnAAAQB9hTAACIA+wpAADEAfYUAADiAHsKAABxgD0FAIA4wJ4C AEAcYE8BACAOHuufTk1N1ScHAACkjtSerjz6iFrlAACAruG7Iwn6+wAAEAfYUwAAiAPsKQAA xAH2FAAA4gB7CgAAcYA9BQCAOMSxpxNLlk0sWeb6GZ3q6aspCFOrkmndFQIA6ALZYDDw9bEy yY3F3KaNrhDVmpjRtHBJ5NL4rkRKpbUea6nxkvDXEgCgj0zPzEr9+adnZs1AoZO/Zn0mliwz LZcWuYhgjay1ha2J58SyX4VZNBNXhRRea61MAEDXmJyc9Gpuesw39U1ao9amWVrtPkw2A6D7 BLR7pP396ZlZxp6ag4PWVqd5qu7+PmNnSwcEmDRdESTXuuQBAHQK3uhZ43u0TxlKzYQrgjXc K7JvIpIIwoyiCA8A6A1x7OmoAeMIADCB/ykAAMQB9hQAAOIAewoAAHGIZk9dU4BSnBqUoswA gNaJ/D1K82w3rZKX41TFcKrsUwUAAHLi9/fVefGuU9aYc5s25v+0CGY4OWyoGl+SrxkTAACC idw+zX3dVYNV6upPNuOYh8in2Atl8ygJAAB4Et//1DrVXT2lWtvilFe/XkvHlX5pvujvAwAi Es2eulYhkcwpihXOtFsxlwkAUDe9mh9Vx8pSAAAgBP6nAAAQh2jt09IlpSumJowca0g0LB1z ASp+qemAjHwdyKziMfnycWq6p5JTcau0elVI4mCAftRorr9fujQfyZ6oLminfMl9fqlpa7J8 fJdXg6+3gzXrdrF+qLRGq6NK5eHUjeoCHSS+P7/6UxvQVB1FzbFOc6F77WHogiUlWVMlp/Ar EErOvE6YCNUJ8z+LjqkGNVWpBm9z+VYnDCtQie9/Why7HozUVdCrQ+dy4QrLDlCMKhXSnf4Q SIUa+/tqUyLsGdBscYBba0Xks1eZZ898izTpD6vNj7Dmy98dyZiMrzzW1DTBaq1SeXzzXjdZ XSAt4ux3AtCWiQ6qFLRLa/udADz20UGVguSA/ykAAMShLv/TtvxAk+gk8j6kvEOlq559r63i sMlL63WhJLvovqWuEfkklAd0mbr6+6UD/HO2pafMy9VLrOlY41spdYDVRLJ+9HAlxUSzfgzR LpGXwoXk2g5aCr6KWhcDAC/ir4ei2T7NYdDqUUhGm6LUQZWPb6IZL2v6rrLwUlkLZU1WCON0 WRrTN+XGcH31riJMcHFMxwa1hmFVQTDx+/um9anPn8mXmrL27cy6KPUQIlurNgm0Kip9/0nS qYh1WKCKbADEbJ9qbSizhUXVDA3ZWhZmXhLxhGLIr/Lq7/N4jTCUDoC4ihBWIbxzpdD1UmsV umLyo8xauJpOadH4HgCMKQimIf9TaGp0UKUA1Ep3/U/x2EcHVQpA14D/KQAAxKHl9U9T7LR2 QeaIHqydTd+M3530AbDS5vqnRYjmBaXG4S90RSPbU1SaLCOwGcfLJTb404qLOjxYu5B+LOpO HwArDa1/anX/nLPN6tHiCJPSovEer6WJmEWQuMSS4sZAxkvC1SYyZahus+puYTXTgutHKcBI 0dD6p+ZZSQrVozWQSIHr3cD3N+uToQ7qTr9u6wbrCWqlnfVPrWot9IiM4nka4Fjqm5E1ETUd lwzVbZaZXZi3aSvpe9VVB9MHowzWP3WC/iAAo0x3/U9TBJYUAOAF/E8BACAOMduncZ34Kqag Xe76KR++lPtXyd0bfcvIXytxrqyeS1hesUrN59IicdXV9xSvxmHeu2Hxw9Ls4A0Noy5/fsY/ yeUByhusMB9S4VliXabUFFwujbyrY8TvPxXhnWqZQDOR6oabuVyeVEUnWbleNamujJylZqvK i8okWBnUs6NDc/P3TcfM4pQW07xc4nNq5qhdy7RA56ot1GY2E/hoXmddblhVKFJjihyrZVo3 VfwiXJc0r66lmLesuhrLX1e+SmKeHRHDWqM9td74KtUa9qhIbAex3k6SjIgtGvPc+mbXAAF9 z3b7a3Fzb0VdYxGsxgH0ppMekcjr80uc+8IS93UPNDMt7UiGPULmMJB67Dor7wPytSfpv4dR pXOqppBfK7mDYXpivs/kIwZWqVpR1xzmbspLZ30SrfLwzXN5fBdtqW6LjJz/KV6qoAdAjRsA /qflQAVBD4AadxP4nwIAQBxqXP80LE5NWce61uXTU+VruFAGzYugsRaKayDVSwzXYKKrUFXu CxMeUO0jAmomCrX0960jzaYDSukXD9fXpIBko6hIcCLMp4mAamHSLC276+M17/lAxj31wuva 0kqW6IALpv69vhxKwn3TcQnmujZYACachivTdSFMrYsa+/uqrxINf+5XA0sf1yIOsbfWmo6q E5IGYIDPkwSmmEy18HpspimvUqtsVSj9jOvKosi9kLk4sCZoLaNVPbT08wSt9c+/XUxrZa1e 39vB3yaXGvgKZo3vSly7hCmRKTDISel7lKttZSK/5V7d1QY0KaG2gEQws7HDRNNM5ESFGRZm yqpV5dOUq1nD+AoWpSBzWMnQh9bsacB9mnO4s6nPnitZxjYFjw/Ii8DH0WyHqz9bWkUueVz1 ZhXS64EprTqmPeXKVJXW2nryUhuz7AGXhFHFElmv5QWT3/dSwTSFnGt8yD5dRs7/NEWgzYCh bvUYWfWD/2k/GUFVBnLqVg+onxz4nwIAQBxgTwEAIA6wpwAAEAfYUwAAiAPsKQAAxAH2FAAA 4gB7CgAAcYA9BQCAOMCeAgBAHGBPAQAgDrCnAAAQB9hTAACIA+wpAADEAfYUAADiAHsKAABx 8Fj/dGpqqj45AAAgdaT2dOXRR9QqBwAAdA3fHUnQ3wcAgDjAngIAQBxgTwEAIA6wpwAAEIc4 +5su3n9plHSSYPny5ZevW9u2FACAzhFtv2jfD2GJMj0z27YIAICOgv4+AADEAfYUAADi0F17 OrFk2cSSZXwIAAB0h2jjpw2TG9a5TRutxwV5IAAANEDX7WmYfSxs68SSZTCpAIBm6Lo9Va0h 7CMAoMt0d/zUxNq7x4gqAKAjdLd9am2HqoFhEQAAoCZSap8CAECXgT0FAIA4xOnvL1++PEo6 AACQLnHsKdYHAQAA9PcBACAOsKcAABAH2FMAAIgD7CkAAMQB9hQAAOIAewoAAHH4/9+M80TT 4ONQAAAAAElFTkSuQmCC --------------080200050503000303030800--