Return-Path: Received: (qmail 80185 invoked from network); 27 Mar 2005 20:56:37 -0000 Received: from unknown (HELO ptb-spamcore02.plus.net) (192.168.71.3) by ptb-mailstore04.plus.net with SMTP; 27 Mar 2005 20:56:37 -0000 Received: from mailnull by ptb-spamcore02.plus.net with spamcore-l-b (Exim 4.32; FreeBSD) id 1DFeuE-0000C8-Rq for dave@picks.force9.co.uk; Sun, 27 Mar 2005 22:02:46 +0100 Received: from [192.168.67.3] (helo=ptb-mxcore03.plus.net) by ptb-spamcore02.plus.net with esmtp (Exim 4.32; FreeBSD) id 1DFeuE-0000By-HZ for dave@picks.force9.co.uk; Sun, 27 Mar 2005 22:02:46 +0100 Received: from post.thorcom.com ([193.82.116.20]) by ptb-mxcore03.plus.net with esmtp (Exim) id 1DFequ-0002Mh-4s for dave@picks.force9.co.uk; Sun, 27 Mar 2005 21:59:20 +0100 Received: from majordom by post.thorcom.com with local (Exim 4.14) id 1DFenN-000465-MW for rs_out_1@blacksheep.org; Sun, 27 Mar 2005 21:55:41 +0100 Received: from [193.82.116.30] (helo=relay.thorcom.net) by post.thorcom.com with esmtp (Exim 4.14) id 1DFenN-00045w-3S for rsgb_lf_group@blacksheep.org; Sun, 27 Mar 2005 21:55:41 +0100 Received: from imo-m25.mx.aol.com ([64.12.137.6]) by relay.thorcom.net with esmtp (Exim 4.43) id 1DFenL-0004aE-He for rsgb_lf_group@blacksheep.org; Sun, 27 Mar 2005 21:55:41 +0100 Received: from MarkusVester@aol.com by imo-m25.mx.aol.com (mail_out_v37_r5.33.) id l.ba.6e9145ee (3866) for ; Sun, 27 Mar 2005 15:55:26 -0500 (EST) From: MarkusVester@aol.com Message-ID: Date: Sun, 27 Mar 2005 15:55:24 EST To: rsgb_lf_group@blacksheep.org MIME-Version: 1.0 X-Mailer: 8.0 for Windows sub 6104 X-SPF-Result: relay.thorcom.net: domain of aol.com designates 64.12.137.6 as permitted sender X-Spam-Score: 0.7 (/) X-Spam-Report: autolearn=no,HTML_20_30=0.504,HTML_MESSAGE=0.001,NO_REAL_NAME=0.178 Subject: Re2: LF: Likely match to YU7AR transmission Content-Type: multipart/mixed; boundary="------------040308020608080406070504" X-Spam-Checker-Version: SpamAssassin 2.63 (2004-01-11) on post.thorcom.com X-Spam-Status: No, hits=0.7 required=5.0 tests=HTML_MESSAGE, HTML_TAG_BALANCE_HTML,NO_REAL_NAME 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. --------------040308020608080406070504 Content-Type: text/html; charset=windows-1252 Content-Transfer-Encoding: 8bit Dear Bob, Teo and LF group,

regarding frequency scales:
when annotating my ticks in the overlayed clip, I erroneously typed in "922.x" where it should have been "921.x"; corrected version appended here. The "original" is at http:/members.aol.com/df6nm2/overlay.jpg (72kB).

Otherwise I checked my calibration today by feeding GPS 1-pps pulses to the RX, and the resulting 1 Hz lines were deviating less then half a pixel from SpecLab's scale ticks. This would imply that ZL2CA's absolute frequency readout should have been 0.1 to 0.12 Hz low.

73 de Markus, DF6NM


In einer eMail vom 27.03.2005 11:35:08 Westeuropäische Normalzeit schreibt MarkusVester@aol.com:

Dear Bob, Teo, Laurie and LF group,

yes, I definitely think that traces of YU7AR were seen by ZL2CA last night. The image overlay clearly shows a match between the narrow dashes on Bob's Argo and my own 21-milliHz capture of Teo's transmission (fat yellowish trace on vertically stretched noise) behind it.

Congratulations to both ! And best of luck, to Laurie and anyone else trying to break that record as soon as possible ;-).

73 de Markus, DF6NM


--------------040308020608080406070504 Content-Type: image/jpeg; name="overlay_small_2.jpg" Content-Transfer-Encoding: base64 Content-Disposition: inline; filename="overlay_small_2.jpg" /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAYEBQYFBAYGBQYHBwYIChAKCgkJChQODwwQFxQY GBcUFhYaHSUfGhsjHBYWICwgIyYnKSopGR8tMC0oMCUoKSj/2wBDAQcHBwoIChMKChMoGhYa KCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCj/wAAR CABAAnADASIAAhEBAxEB/8QAHAAAAgIDAQEAAAAAAAAAAAAAAwQCBQABBgcI/8QARRAAAgED AgQEAwUFBgQEBwAAAQIDAAQREiEFEzFBBiJRYRQycSNCgbHBB1KRodEVM0Ph8PEXN2K0FiRT VmNyc3WDhaT/xAAZAQADAQEBAAAAAAAAAAAAAAACAwQBAAX/xAArEQACAgEEAgIBAwQDAAAA AAABAgARAwQSITFBURMiYQUUMiNCgdFiccH/2gAMAwEAAhEDEQA/AJ+JHEf7HvGTMSqiSxyR t/jGvnhDDLcqYprjVqGAZQQd/TNfQnir/k140yM/aWHfH+Ma8K4LGJbyBYuHh2Migs5Y439S K9fR84W/zEvy1TUcDx3vnUucFsMf86FxC4xw/CQxKgkK5Az6V0sVvJb+JEMkMcY0kAHp0qXi WOOHg8cMYhBeQkkZFQjUbnUXRNStmCq1dCcYilzEo8ukZ2p5rhFmjEqLucZLUrMGW5gy6lcA Y1Z6GjrKcsUhjJQ9StXYyBYkYcP/ACgbjWZVw66dO4OP1qzvGBkgjdcLywNv9qrbziMxnZCq ANj7oHb6V1QtudZrNKVOmIdx6fSos+UJtowseMuBXiVMsQltI1WLyh2ORgE/zqvCsXP/AJZj udyasrO2a84fA4xjmFSdqVNg0eSELncfMfWuXUYyNr8EGccLBai1xBqQmRtB0Db8TU0t+Wkb CQDYj5hTkolEBJWOPYKNW5qDzov2Ukq5O+wPr9KerLV3/mS5lKttmcQZJlMbs5ZV3xg/lS0a MsWnU+jJI8uD/OrOK1kkluJiNSmM99Pal7W2mn8uVCrkDOT0xWfKiCu6lCY7Uqe5VI+iRNGt gMMds/rVnOyXHw41EMRuClSit2SR1aON8+xFa5Lx8StRo5YcUObOjKAp5mKpYRMLImtteMvn dsUK6gZ9gxYPhzjJpq/hm0ORGxVXCg6dqXvhrYKzFCqjoaLTFGALQ8hVSPZEaUxwCdCSrHGM qD+taBWJWMcr6mDDaP6+9QkCuzMGD4ABB60C3kkhIKQ7DPcmnYypFxXIFRuyDSYBGo49MfrW S3EkNs2snCNjGofpRXupI5LYqpAkPQbUNtF3DdIxZMS6ckZ9feomyWbHuFkX31K/XGGnBLYO /X2FZHIot4+UGyp/dzU5YEQyDOsBe4IpqGCEWkTpGVLHsQe1PbhrJ7jFYKpDeoraQyTXEis7 fQketHkRzMqTBypxjf3NTkkKNK0cL51DdicVsZne2ZwoYtjC4O1Hn6DwEAPJ/EAgUSuw5ijA +Uilwyi3LAM7BicOwNWRORIqJ0JHy4pQwkYQK+WByuk9qzERkIMSG5ow9tMyso5UK9hlajJJ rlI1RKTJjyg0DmatLGD5MZ6igvIsM8hSA5Q/vGiYh7VjzGBOd7ywjgnM8hyzLjT5d6x5J42B DyKdWPMorXD3Sc5MxjfGdOaLI7Rxh0nQgDO7Z/lWUaAkhLFq8QFy88kEhm382oHYenpQ4Fec ZVhkDpk1LiErO6pgNqyM6vastbUrekczlgqTsc9q5MnyKRHstGpG0Sbn4eIuNz0P1qfw8crL hdDqcY3o+Jg6cqd3XSARuKHbosQkedHJ1Y3Y0DYwCCJzPRapK3KJbgSAsVYgZWgXFwTMjaUE YBHTHc1tLlY4Zh8OvkfI8596yS8MqRKyBVODkE9SawkDgGDjFtbSMEQyZCgAVgASSNsUdXJE zqobyatm705eXEJ4fbRqkmuQkHB7bUGW2iimkSJmfyknI96U7lh9o7IhKWO4hdxtoONgSGxq H+u1FBWGWV9eSQCFyOvep2s0bzGKS3Lj5R5sUXiMCCGSWOLSVIGMZ7etVu20AN5i1UnhoA3O iWQxWwyq7k79ak9ywbLDABAO2PWhwo2t1AYcxMn+ApLmSKk2kk7jrSkffwPELKi3tWPNqmjd VZnJYnBArcVlKyyFlGRj7hP9a1HcKYnyVXAGD+AohlWC58sshD+bAO1cHIbbOLOUYGAaN0t1 Zmj5gOBnY4xULiCUcsbFSg7inZ7yMyKrqp2x5h+PrQOLTu+kRRJGFA3AFFj27pxLMFqTFuis ZOaEIwAAM/pRZZXZZcy+XIXIOPekYTJLErIGyHGSPxo8UuqZoZV1EuDviuH9QVFqpHMXutUp Ifs2nO1TudBjhAI2OltSg0S6CG+5YBRdR7bdqIbYvE5SaMhiSQD+NPNoKjcaEFT65gOQ01vs 6suRt07mhC3DNIo8rBB1O2asOHGKNQG1Ahc5BB6Uq1yXuMrLkNnII9Pp9alUnkmdkTaSZC3E komwwZgAuBnpVm8Koug26EaQudzVWgnje45endR0pi0eWOJZDI+ogEg5I71wYbeBzObGW+wi jcvmTBggKE4AB9ajbqJJQnL2JJ3JP5Vl3G6yKY9ILjLHAo1rBolBLhiMAjURTXyehOYgrY8w twMzYSJCdhsfb3qMFpcIk5NuSNWnc0a4gElwAscJ82f7yjrfNaxy4SIAnpkt0Fc5sAmYikJx 3BQ2oXZUjiOnrqI/SslhkWRj8UueoCud+9J3Fy1zOmFjRiOoGKm0KrIftxlVBwoJ/KhyMGP1 i1Uk20jLJK11E8kaP3JJJqHE3DtFy401DtpqWswzEs+obDBBoE0kuRpIAU4GNjtRVTLGHlwT HoUmXlO2ldIJw2PSl1m5qqJVhUk5zj+h96lJLrwWbBP72/aiTpaKulJdRVRkYwM1hpCT4gkj bx3JSvA1rOW+0IIAC5A6UKB4yE5cUaEj7zk/0olg8MlpcZWM+YEbnvW2iSN0IiVUxkk79z70 sP2D7mGwKhEsrp4SRbxlQ3zKf86FfRNDFKGVl2A33o7PIxkSF9K7bAY9fWgXFsZy0PPjViB8 7DsPrTAFfkdwbJNGT8GsR4j4ZqUY+MgIP/5BX0hjTbB85JIJ/hXz1wS3mg4nwwRPGJGvIQjk alB5i7kAjI9sivf+HLcNw5lu5I5JlOGeKMop32wpZiNvevOzr9/zKN5JuVp71quk8E8MseJ3 txHxKURokepcnvkV1s3hjwzBDJLPfxRxRqWd3fCqBuSSegoZQJ5dWV3a2/gs2zzfG3ClGCch 7SZZ2JyRphKcxgQrHIUjyt+6cHThvg+RrBV4knMvmdLeM5DsUUlwVIypXSQdQGDscEgVgYe4 z4nHYM8+rvLM5/ZGw9PEHDh//ba0zxPg/hPhix/F3kpeTOmO3hknkIHU6I1ZsDIycYBIHcUx xSCzt/2d3KcLnS4sjx/hbxSowZXU3VmcgjqN6PiCUIG4jieZeKgT+xrxngAnm2GMrn/GNeDc LWNb2B7i4KMsikK+FB39jXvHi3Sf2MeNNRIHMsN1/wDrGvnmO0JCyQzyOVOcHy/ma9TRAnCw Ak78Nc7Ka4iTjUTs6sAp2DE1Djt0bqzjEKoBk9qRLZuo05zo5hORgEdKhJLjheHk1FHKgqoH pXnrgX5EY+IzI21GHvmVT2TiBZGZjIMYAHvUIWYTlpfKpPQgGnBPqgOmSTSp66xnalYGJgYu 0u8n3nHtXoJRSh+RIbJB3Sc0SMS6hsqAdkz2rtJI3l4ByzE2poNyUI7VxEkTNdNyzsQD79Pa uqfikiqqu8oUQhfTt9RXn6vAWVb7uVaVwpIMD4Ut8cMKuTtIdsE1fhYtwIkYlvvHFctw/jAt eEKPiJRlyCMVuLjgWZkJZgN+4/Wo8mmLs5EoyZlUr+JPxRDKZFVIUQBdec/51yxj1SozMuTg fOMV0/E52umgkjVQhUqxZs/nXPXMXKkVQQw1DGAB716OnQJi2nm5PkcFyJ3Rhhi4ZIwkjB5P ZvakfDsJntUIJcFtWxzQ476LktbmM7xHJOD2oHB+IyWdkhjkCgN0+XbFef8At3+Jq9y0OpcE ep0wsIWG8DM2o5wSKqeO2pPGOHIkRQAj5qb4f4l5Wp5HLkEYwxx0+tJ8e43Jeca4a4VFIGd4 w3rSNOhVzu9GDkojj3D8VgW2s0WOeOMlsHWh9PeuQurhzcScyRJBkDIXH6V1HH+KS3fCSI0j Yo25KgH09K43SSXeVskDO5B/pXraFQ2Kj3JdQBv/AMTOdtOEPVu/vW7aMMH1zqrHJAbJpmGJ 5bfJCDW25zigXEogfQQH7HfPeq8QCFrghlY7ROm4fwqO44ZaSiRGaJOw9zUOB8LW9S8Eq8v7 YNnIHY1ZeGrq2j4TErROWKnAAHvTvhOeRbedpo8Rsy52Geh9q8ZncjI3o8SvIFBCSvn4EUdx g6GXrnP5VV8YS3s7OOPkyNpY4IP0/rXfNecJO7i6DHY6mGK5vx5BD8HbyWmnTk9zn+VBpczv lCueJmdRsJnCqxaMhHkQNJ8pFW/DOHs62jkFiEOTj03qrhJk5IZCVB1dff6V3/h/4I8LiDtp fSQBrI9fSvU/U22oNsTpTRII4nMcMgV4ro6JMl8HAx71FrQxu0qC4LBMKGYVc+DRbNc36zPE qiT7zPXZy2lk+kW95wxQVx5nb9RXn5dQcOTap4jP26ss8tSz0tGsjOmsfv5OMim5QLb4sRo7 jIOWUmrbxPaRwXVvMLu0kJOMIwxv/Ct8RtJFspZVlEYYqcqPf2JqnHlalc/3TDh3MQx4AnG6 5+YXkymxwOlSkR/gY2GSuASVOe4puZxczRRtdauoOpD+Zoa28yWcqc+BV6dR64q9VQyIrQB9 mRmlU+Y6sIcbkegqNsRPdyNHGxwNIORQ5YgBypXUEqSWGnf+ftV1wPhfNilaFA+Aejj8s0p1 OIEjowviJsiVbvJay4CxhhIACQCelElunljAZCwZt8Kf61kMFzJdxmS2YMH/AHTXRcIsbnAj MUhIJABjOPypebMMQA9Q8eHcAzShaNHt5XjiVTkYz/Cq++Gm0iVt2z0H1NdR4is5bOAKbdlL PsSpHeqE5kReZJpw3TYilY2+Yh52UhGj8XD2mW2mXB8+GBPr1/KoSfYXt6sayllG2Dt1rqvD FvDPYSlUhdgevLINV/C4TccYv+bHGux+77/WpWzBWY11KEB+pnKw2ki3ELyRyNnfbf8ASrOe PTYXAkSQLrXAJFdY/CMlG0kYBGxx6VWeLVez4XHoVfNIAckHtWNrxqGUTTgCkuPUo7nMVzmJ fJyzv+FJWqKyMpUEOM77muxhsdfDHlMKEmPOcgdq4WBNbRgsAVyuNVO0mY223xJdTipJCaIR xndl8238PrR4ZAkYdzICEXGw96FcRAIilmOxxhhT7clhGrAY0lTqUnfbvmvT3VVjgxVmqPmL OyNcSMQGwB23ot3mTBjVsYDGm7KGCQ3AEMQ0hQCGNRFusl+0IIAxjqf6+9SnJj3EXyI98dbX PUBHJLbwOqCTchutat5dU0ksmojTnJPvV7FwhWdhH5mx2b0qF/w+S34Xc6pIgdIxkjNJXULu AUxSYiwMqQqmfnGTKknbGPTvQYrdnguJIYVbzafKcnf8aAzshSN01EEgnO3QVa+Hmmmt7hFf CmQNgD2PtVuZhj5fqdp8TkmBtuGMqOZYmV9HRsdDStvaSAsCBsTuMe1WV3rmvJwQo2Cgtgdq O/B5IhrVkwxAOM9/pSXyqt7uiJR+1yZARKuG3ZraeVTrVV2CgiovEWt0Gl08o7df5VevCeH8 GuEPLcacb5z/ADqVjZrPw6GYIV8oG2Md/alY82EcnqUDBtrd4lFHvGpHUZ7f1pZYzLDqXUXZ +49/amYtEZcKAzbjYAfrWo7rkxN0Gkg+ZSR/reqhjXIbBnnD+Zrq5j2/LeN2aJCxzuwzW7iy mKgZZlJO4AP5UjdTMwgEbIXO5KIKK1y40mQ5JYEZFETalZoBFESKLodSQupVxuCKzQEuJWIH THlBPSjwxSOSQpYjboDQcuqTiWHfJGSKFfdTF5avUWLLJOmWY6iOp9KK4UsuCc4OQVz6VkaE MksOSysBjc0+G1uBMiAH1U/pW5AQQLmudrVFLccxyNceVXIBHtQ7g8syYETa9iSuOgB/WmOZ bJcySQohYZHzMKDJP8QswymBuACR2H9K4AKZlVJ2kqLYSFo1y2FBUf50xBG0oi0KDkHOaWRI jbaRo1I2feiKDJb6yZc5J7YoTTtdTmIINdyelo7grLGgBGnfb9aHM3IDOiBQVHmB/DvSurEm oOds7aamshkUpqkA0A1xpOxBAO4GX3hljJxTgo5gcC9hJ3/+IvpX0MmmJVC/eYZ/hXzd4YmE PE+GSs8jBbyJyqgsSA46KNyfYDNfRFjMl1YxXCCVUYjAkjaNtsjdWAI/EVJnxndujFqVgZkP lYr9DQr3XcWc8L/aLJGyFGcqGBGMEjcfWpHetUrxzLFJHMpYX4rbvdXaJeTzSpFCiztEHXSX JY6SFKjXsM5JyNhvTENvIrcOlihljdJ2kmMjLzN1l3JU4OWkJwNhqOwqyrKAII9tSxvgC/8A VSv4r8TPdQyGK6kjiDoRBMI5CToIIbUp07EEZGTjY4BHo/BY5If2KW8UxQyx8b4YjaBhci8t AcDAwPwFcTv613dln/hI+f8A3Bw7/vbSiCAG4tsrMgTwJw/i9Gh/Y34zEg0nmWB7H/GNfPUH wbTRmeNg2oYKt719GePwzfsg8ZBBltVhgev25r5itre4luUOggqwO4xVn6PqXzaQORyZ5Gkz tqtOuZ+CRLsLAeITvGZDpQ6QR7UwTCnDl1RSZ5jZIOa3YRCGV3nTOAc5xikL6dpLYJCqiPmN 8oxXBPvXkVLcnNKPU21sDGUUvpfJ3AoJAhtlBycHVjpTMYlKxYjBGkjOc/nUpboKVieMglgP KQPyqtyoP14kp7APUBZqHuMnWowARkY6UxxR1EuiBs5QZ3+tDhWaRy6MVUN3Y+lbMOu4lLsX ITI3+tLyJtAZo5T/AFeIu8biwjAJGXz0zU4lkM8nnKkgYytYQs1rErDSNW2N60I5pNLAsApI JO3es2/iFkAYkehGb+FraLDysdS6tq3GkJgjJaZmAzt7VC90zRxZBcsuNmB7n3ocAFs2UD+X 8Bv9K7FiVUvzJ8hsDd3G5JUa9d4zICU3GfaqwSmGMeaTuev0rfxjPPPzV3KkDrUpLcyWUbDR nJ6/h/ShCURR4lKgKSSe6jiXEzWnkEWAC3mXJ2p2Jjdz2kks6x4HQDHr6VR2aSDmbZUoehz3 q3tTKJrfSo3AG4JrNWB2BMaw1DqSmjiSKSNJFlMjZOVO38qqnSNSck7j9zHerldUSyMTM2AG AQYHTFVSz3AkDLrRf+oj1PrR4VKqT6nOdwBm7eaB411zFFQfu5ojWkV1rlS5WTfboKUtnuDG wMy6cHONPqK2SsUih7hthnAFaVHNQNldSzFy9tDaJE6fIMjP1oaXzRWNxLrk1c4Yw/oDQhKs htNIlKY3IIrU0Uf9nsFWTKyZ82DSUxqfqfMeTuAPmTtOJSNDpkcZyfmfPv8ArTd7xR5LSCMi Jlwc7A+lVEDSPNjlog0nB00xOkiqAwGM4yG6U06IbwU8cwGdntfEhBcIzOkkKYUZGExV3a3C QyQIjYQoWx03qrgDawBKGDxk48vc/WmraUSQw6YizrnfORt+NBnxtk75mJkYdQnC7hLaO6Z1 y0nm04z/ADrUvGSpJVWTSOhGdzVazSTTuXKqoOG6rW+IpFFGQuli3QhvYVn7Rf5OIXzMjUxm 769e4MDjdgxA8p9qsbzxDdCKW3cEqqjp5a5/yhLfoH5hGBmjMzyS3RdmHmAH4URQIAPXUa2W oxZXsjXACqu4L4dtRz+NSd2mVuYAuSDtSlrIsEmrGW0nejxzSRrIQ5OACB/CmXuu/MizAXY7 i0ymWWQkoOWvc03Df3FnaGON4/Mc4X3zQLmUyvcNqHmAAxilplVVDiRg2gbac1yruBB8Sog8 COw3XKmDktklT85FWQ8QTRzExO6EOPvsaohIS8W7lRg56U0ZXdEKuoLN0IodQA7ARW9l66lx xLikl/bwmSaR2jk6az70krlweczp16ofX1zSLaxc4DsylgTpPt9ajLJrdlLSRtkAZbNDgwBQ EuDkUtRM7Hw7xJbSykTmK+qUjcH/ADqPA+IfC8YvJXKKTqGw965+AyHh8Lc4E6y581SQIXvJ nUkhQQcfQ1ENP8hc+JSHU7V9T0H/AMVyyaFiMbg7YaNT+YpLxc1zxPg7eSIBWzgIFrz5WGqL SdOGz0q2tpy3D5gZ2yzKSDt2oBovhyAnxBfUB1Kj1Oia9ktrD4WMpzBbAgAe1efQxTmZC646 k4wK6COdheSO0o+zg0gA79Kp4wxthMVck46k0/SY1UtfmDqMtgQ0MCRvDIcjcgnVvWLM8sb4 OoawTqX60CGeRFZCzDSzbAe1GVT8G5JYlhndgKsxcAAyZ+zLPg7xi5nEqBQCM4B/rWMywX8s 8Sg4bIyCe31qnmR40kYNH52HVhttTiyrhVd4idPYmkDHTMwHcpfLtxqsvbTji63MsOMPjykj bGKcvZ7C+4RcojMjjT1f0xXFJIJHc5ZQWIypz+dM2nJT4pGkY8zbdaQ+mVG3g2YAyclF8xK+ giS/TzEq2/lOTV94X+DgtJWcSYLgeY4/SqqWIa1fA06+/wDvUOaWsZVRsDOrYj+tUZ1+THVQ 1yrjYUZdObObibrGpwBqJJzViL2yWErzWDDAwM4rkbV5oJhLCQxkUHfFTfeaX4kgHORpPcUg 4DmoehKRnOIMT7nUcSuLebhsxRkZhjOQfWicJ4hp4PBEeVjScDTXJ2FyxS5AIxIu2oe9WZln gt7UEeTR93apmwFRtPuEdR78yvuHQzA6XyxJwm3egpyVtp2aNsZx5mNSebVOFABKZ756fjTE cbKypydnGvLE4/OvVRVWmkJXalGKJOGkUoNIK58tRlt3d0JuBkMcht+9O3TSBBGAqkbfZj3F HjsS9o87y6TgnzVmVud68iCgs3AJPGrODHsFBypK5/lScggNxnMvm2IDZ/SsiPzFBG+Rp6H1 qU6yrcSSEMoVQdjTQdo5gkUb9zdsYlmKJC3UHJJH6Ue4d9CspwV9ZDVYjTS3CHl6vMPemebI j6dGPNj5K5gSwnZFIe1jEbDTN8R94j5QfSkoeVHcnyuUJ7df5im5+dcJGWXYtnOw9u9J3sKw pESWO+diKBFNnjiGBfPuW7pai0nljN1rBGwAqtiDyIqrzGXcYZaYsVT4O4UjAOnBO/f6Uqci dk1SBQQdv96xCtFPMEALCQWRjt5n1Kp9M70Nm0E6+YS40+U0T4dmgbSzZL5P863LrOnAbITO SK10BYw0P2EuvC6p/aPBwIny19CNTHp51r3+M67KJfv6sH6V89eGEZOL8IySSl5Cfm2/vF7Z r3+eSW24Nd3sIi58UTvGJWCpqCkjUSQAM9TkVFnem5hLR5qVp2rQrlE4jdyX8dhDfXZhnkRP iLi3WK4QmOZyAjIo0/ZJglCDlwCSPKa1vuIvPwrXcxm3e8uLSVeT9pJyxOAxbOBnlqSAo3zj A2pUfOlrKofEEnERf2Udj/aHIaKVpTZrDnUDHpyZfKBgvsNz+Bq24dMlxYWs0MzTxyRK6ysM GQEAhiMDBPXoPoK6dGa720/5Rn/7/wAO/wC9ta4Ku9tf+Uf/AO/4d/31rXeZhnK+L7S6vv2W eL7ewXVcM1iRlgoUCZizMxICqACSxIAAJJAFeFcE8LTT+LLzgN3xPhsHEob34BOak7LPLzCn lZI2wNQG76eo98e2+PMf8IvGWTjzWHr/AOu3oDXjF54mgbxN4s4rayzo3EzcfAhgAY+dMNWs E43haVO+CwI3AYT/AKQ2oXQr8JobT0Bw1iru+OTfF0D5qeT+k7Tose71/uai4G1zxZrbmwQW hgluTfzJKsHKUleZnTq0sy6F8uSxC4ycUCw8LTXzXcXCryyvLSyjlnlulLpEQsTSaV5iqxch HAXTk6WPyqWBfDHGBZ8SFynEuK2EjW7QyXNgAskbczOnAdeYhVVyCyYY530eboeH+P7GDiF1 G/B7e6tJ45g08gkWeeU2nI5kuiUA62LO2dTLzpdLEnUT1Wo1eNmbAu7jjjzf5qyfw1cXt5F+ jioLR7E86eaZNOkldDEDGB2oqyF7mFpWcgYOxrcwhCya0zuN8UAs0UmtCAo/6f6CvexpdgxJ UMB/1DmUvOViaXbUSDQQ8g2cKrMAv86O6tNPMec2rTsCDigR2kkcodvMETO1DnC5B9vEPED/ AChjEtstvqCtjUTv9KGbjyNgbHtq961e/arrwoPv+HvQrdfmRjHgnPWpx8iqLhV2WhG0rcIg UAKM9awEPHKzuyZYHaiXSokwJEefZjQ1aNklHYMBs2e/0pqtXIin5+5ExVhN66mQnC919qdt p5Edo/KVOo429h6UuqxvcOyuF8vf/amYJDOS2MkDT5T/ALVgRjcFjvWz4lUFwspICkZXJNWl pKIXt9M8QGj1oEsSmMjIkUEkg0AscRqtsAoPzYNc2IMLMbjJPJjEdu88jaZ4m2C/NvS1xayR ymJlLkHHykD+Nbs4JNDLllcOPlB7CjIspn8+dz980zAQFJqa70K9QSRwfCOrM6vjoBmmra0V QH5DSKRpyxwNqiYFVZtMqYBJ2fFJ86VeWvOLAHOBJigVRl5HEWrG7ly90sVmFjt41IGNmzSM t44sUEe2euMH9KldXRa2A0oSOuo5pc3DfBRKYlGGycZHWgx3jY+4asE7mXsiyiIsqamXBJBB /wBbVC6jQrmKQYO5zmj5VzC7HTj6/wCu9Ntb2kkbZuG1Enop7/WqnPTDuAuQKKMUt44jIpEk ZYJjBz61uzXkX+jI2GPI2KXmjjhuEAlOk46qR3o0sDNeRvAofUcVLZrdMB7EMYZXtZiGY6yD vvQ2ZEgXUuspjYCpxRzWyyiT7MLgbn2pYOS7LztSuN9vStwnd/Ka4DPfiGkjErJIq8vz5w21 QljBnuAjow1ZP+sVqaYZ1RKA0YyDpFFg+Kns53Zc5H7wpmYpyfM0XXMWRg8gDxqCSRkZp34p Y4nB5Z2AwyZoKK8caaQpkU/LkUQ28rmRpIiMZOygfzoADVmLcgmz4kZLnTLoiitlBwSQuDUZ Zon/ALxGkbGMK2KjcPEXZTHuADjJJ2FEnhUhXhVgNPoaYHJUmGHoi5GKJGRgsMqKCDkntikc PrDZ2Xb1p6XLRiMkDI7mlY2MMKKQu7HcUokdtNxuwBuMEMgCAE5II2PpUbmJldGfbdfzqBm5 8cDSrqG4O9GuZCyRKikAoT69KwhbsTlJLAGStfNYtpdcp5RtvUo8pARzd207H/5vai8EW2KN 8THKAPNkYFDvUt2ETW7SHdtiB0B2rdgHA6nO4DcQsUeLbOMsr9jRBEfhpmUnBYZAGcbUrElx FL5SyqV6Aj6/rQ4pbh1dDIuS2+p/auyfergIpZiR6k4WaS+nTIwY8eYe1Rg5i2iIITp1Y1AH pTaoiO0kjDeM5IUHt9aVMi/Agq0r7dF8v60GNPsYzMuwhYC9LLIx8w1Ln0qc8QkVcZ+UHrR1 aAW4JScFU05Zs0sbgKjnLdR3rsnLUsB7PIEZaGWWNEC5Grvv0BqF1A8V5ErBQNO+xFalkdlU wSheuMtW5zLKEaSWItpAyxHrTMeKgRF2TVw1vBGsICsxbUflxStq7Nd4jUsQ3femoYJ2Qywv GdIyNLgdaz4aWDVK7ODpL/NtWZK2zV3IxI7mSIZW5TiVSJPur7UvFEYomQcxiTg5UH9a0sum 9kbJPRsimLW4meS4OsqoY4Lb/pXFgWAEEGlowvwKpYiZ3VWjGwI0n86WSeTSoXSQTgkjNMcR 1S2pT4hWbSGIIx+lVsEDKQo8xGSQPasK0ob8xgbcLbzCidebpKDKDqOn51csGuIo0WWPZBhc 4PWqu10xxSu8a50qpzueopmOQSi3kQkOVII0gUlzuFkRhegCJXTwMb2QlFOpicg57H0puGB5 k8ygaMfeNJESx3TK6EjBI3x29qNw/wDuy5Xvp+bNPyONvU7NZWxI3DRpPKGD7dMU0kwaMKms rjGM46GlU1Bo3UlSVDHy1l1LMHRGIwX/AHRSwgKC+KgqSp/JkZZQH5HJXZs5LZP86YM68hld cs43yu3XHpUHjniTmoo0scdBWrmMCUhwC4UDr/nRsL2keZnZ2xURlbhdjgEAAA1lxHIoZ0BD E+hqzmgYGNk1KD5tmqumcyXDKyuy963OKcV4hrkuq9QiXU/KUTrG4Q9xS9xKGdVjhUDAGzGn JOX8KViQgsQDqFL2kcbSyc0/KQfLj3ow19Ttw2WJ1Phrgl94hmt+G8NEQlmdFZ5pdKRguqgs 3YZZR6kkAAkgFax8NXHF7eGRLizglu7g2llFMX1Xc405jQqpVT9pGMuUXzjfZsR8NX1rwrxH wfiMiTvDZ38NzIqKNTKjhiACRvgVfeCvElr4cghuLlbiWa0uVu4oDZwXMcjDT5VaTzW7HQAZ E1EjTt5BnxtS2rUM+EA1Vceftfv/AI+OB67GhVO25znh3w5xDjfiODhVpHJDcTLG2qf7JI1k 06HZj0U60x+9qUKCWAJJPD0zcFjvJr+0illt3ngtJ3cSTxqWUsp08sbo4Cs4YlcAHK6rbwV4 ktvCvGo5TYx3lo09pNO8kbJOgiYOyx6JACNW4DkqxjjYqCMCwXxak/h74SV7+GOKzuLVODxs TZSGV5WWYlpCQ0ZmBAKOcwodQJyqtRn1iZqVLW1o+7Bv2RzQogUP7h2NXbXfM4zwjG7cY4cB mIyXUKiRAMoeYu4ByM/UEV9CR2JPDb21vry5voZxoKzBFwpBUgGNVO4P9MV4F4SiX+3+D5UZ W+h31Z/xFr6JVBKqsOg2/iKt1Kj5OZyH7H1EfBng6w4vf3LcU4ndC6jVXiu2MYdNOpQAoQJj EknVT859BjrOJeCPC3BuDG+lvJpY+F86/YIQXlbRIX22GTrc4GBkjoNq4pHZM6GKk+hrck07 RsqzyoSCAyndfcZ2pRlK1YuX8vhpbiSaxVxDxmDRKGt+IKbfkymTGt3h7GErtEzDKebDOQXh Vh4fiPAuG29rNGksstjIwfMVsYVmGA53kybdgNgdOGbSSqtwMHCri1iuPgrm3tJp9Cube3Ma FF1HGA2Qx1Eas9MYwd6eSCfRw8POgNo5cCKMomNDIABk6cBvU9KAb/Mqf4Bdf++v9zvPFFjw HgtxZ2yXXDxNcrJIHv734WEKhQEa9LHWTIuF07gMcjABueIwRW37N5ordXSNeO8KISQqWQm6 s2KkqSMgkjYkehNeV3Md5JdJcwXapNGGjTXGWARtJIIDDJyg3yNtsd67/g9utp+xmO3QsUi4 5wyNSxycLeWgH5Ua3ZiX+PYtfy8z/9k= --------------040308020608080406070504--