Return-Path: Received: (qmail 4732 invoked from network); 23 Dec 2002 10:53:25 -0000 Received: from netmail01.services.quay.plus.net (212.159.14.219) by mailstore with SMTP; 23 Dec 2002 10:53:25 -0000 Received: (qmail 15068 invoked from network); 23 Dec 2002 10:53:23 -0000 Received: from post.thorcom.com (193.82.116.70) by netmail01.services.quay.plus.net with SMTP; 23 Dec 2002 10:53:22 -0000 X-Priority: 3 X-MSMail-Priority: Normal X-SQ: A Received: from majordom by post.thorcom.com with local (Exim 4.12) id 18QQAL-0001CF-00 for rsgb_lf_group-outgoing@blacksheep.org; Mon, 23 Dec 2002 10:50:33 +0000 Received: from [193.212.240.200] (helo=virus-out.ttyl.com) by post.thorcom.com with esmtp (Exim 4.12) id 18QQAK-0001C8-00 for rsgb_lf_group@blacksheep.org; Mon, 23 Dec 2002 10:50:33 +0000 Received: from [134.47.162.190] by virus-in.online.no with ESMTP for rsgb_lf_group@blacksheep.org; Mon, 23 Dec 2002 11:49:57 +0100 Received: from tns-fbu-22-214.corp.telenor.no ([134.47.162.92]) by tns-fbu-22-209.corp.telenor.no with Microsoft SMTPSVC(5.0.2195.4453); Mon, 23 Dec 2002 11:49:56 +0100 Received: from tns-fbu-22-212.corp.telenor.no ([134.47.162.91]) by tns-fbu-22-214.corp.telenor.no with Microsoft SMTPSVC(5.0.2195.4453); Mon, 23 Dec 2002 11:49:57 +0100 Received: from TNS-FBU-2E-003.corp.telenor.no ([134.47.164.201]) by tns-fbu-22-212.corp.telenor.no with Microsoft SMTPSVC(5.0.2195.4453); Mon, 23 Dec 2002 11:49:57 +0100 X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2800.1106 content-class: urn:content-classes:message Subject: LF: Re: RE: Re: Balanced vs. Unbalanced loops Date: Mon, 23 Dec 2002 11:49:56 +0100 Message-ID: <2D280BB697C7EE4C979C5C89925418EF369025@TNS-FBU-2E-003.corp.telenor.no> X-MS-Has-Attach: yes Thread-Topic: RE: Re: Balanced vs. Unbalanced loops Thread-Index: AcKp4CyGmvJARLcMRpypIlW583yY5AAjZ8nA From: jan-martin.noding@telenor.com To: rsgb_lf_group@blacksheep.org X-OriginalArrivalTime: 23 Dec 2002 10:49:57.0379 (UTC) FILETIME=[08B34D30:01C2AA71] MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="------------000004070700060306090301" X-SA-Exim-Scanned: No; Exit with error (see exim mainlog) Sender: Precedence: bulk Reply-To: rsgb_lf_group@blacksheep.org X-Listname: rsgb_lf_group X-SA-Exim-Scanned: No; Exit with error (see exim mainlog) This is a multi-part message in MIME format. --------------000004070700060306090301 Content-Type: text/plain; charset=windows-1252; format=flowed Content-Transfer-Encoding: 8bit Hi It seems to be some problems with expressions. My first reaction is as simple as saying that "if it is three variable" you don't know what makes the improvement when you change all three at the same time. For many years I thought that it was an idea to use a balanced amplifier, and did some efforts on this. But how do you build a balanced amplifier? The article in Electronics World August 2002 shows the application of an OP-amp, this is probably the only realistic solution. Have also seen some more or less strange versions with 2x MPF102 and 2N3904 or similar. My experience (and other) says that it is extremely difficult to build a balanced amplifier, as is it to build a balanced mixer using JFETs, it doesn't come by it's own. JFETs have very much varying IDSS, and for MPF102 it is quoted 2-20mA. But even if you find two almost equal devices you should verify the balance. What is the advantage if one device has Yfs 10% lower than the opposite? The center-grounded-loop is already balanced at as long as you use a high impedance amplifier connected to one side it is still balanced. But I was curious, I had already experience that the high impedance amplifier wasn't necessary for 80m or 160m, it only added extra noise, the only purpose it serves is impedance matching between the high impedance side of loop to the receiver - with some gain, but you don't need this gain, so the difference is only extra noise. A coupling loop is sufficient on 160 and 80m - with less atmospheric noise. My converter system doesn't have much gain, but as long as noise increases when antenna is connected it is an indication that sensitivity is better than needed. 73 es happy xmas Jan-Martin LA8AK -----Opprinnelig melding----- From: Ashlock,William [mailto:William.Ashlock@edwards.boc.com] Sendt: 22. desember 2002 18:30 Steve says: >"I have had good results with an ordinary (unbalanced) air-core loop of 10' >diameter. Nulls are approaching 50 db on groundwave signals. The loop uses >a standard single-turn pickup loop out to the rx via 50 ohm coax. I agree > with Jan that a preamp is of no value once your limiting noise floor is > background sky/atmospheric noise". Jan says: >"As long as the background noise without pre-amplifier is 10-20dB above the >background band >noise it is totally vaste to use a pre-amplifier, it may only worsening the >result I already agree to the balance, but using a balanced amplifier for a >balanced antenna is only amateur nonsense." I'm guessing that the only problem we have here is the terminology. Steve says his loop is unbalanced. I would call it 'floating' since the connection to the receiver is an isolated single-turn pickup coil. If he were to connect one side of the main loop winding to the coax shield it would become unbalanced and the performance would be degraded considerably. If the loop is a single winding center-tapped design, a balanced amplifier having three input connections, a +, -, and a common is needed. Call it a differential amplifier if you would like. At my base situation an amplifier is required because I do NOT have the '10db above background' condition, identified above, for my weakest signals. The problem is that there are large 60Hz plus harmonics (buzzz), currents in the ground that my 200ft coax lead-in picks up. I'm thinking of trying a balanced line (oops, here we go again ) per John Andrew's suggestion, in order to eliminate this pickup ......so the need for the amplifier goes away. Bill A --------------000004070700060306090301 Content-Type: image/gif; name="136_concept.gif" Content-Transfer-Encoding: base64 Content-Disposition: inline; filename="136_concept.gif" R0lGODlhGAMuB4AAAAAAAP///ywAAAAAGAMuBwAC/oyPqcvtD6OctNqLs968+w+G4kiW5omm 6sq27gvH8kzX9o3n+s73/g8MCofEovGITCqXzKbzCY1Kp9Sq9YrNarfcrvcLDovH5LL5jE6r 1+y2+w2Py+f0uv2Oz+v3/L7/DxgoOEhYaHiImKi4yNjo+AgZKTlJWWl5iZmpucnZ6fkJGio6 SlpqeoqaqrrK2ur6ChsrO0tba3uLm6u7y9vr+wscLDxMXGx8jJysvMzc7PwMHS09TV1tfY2d rb3N3e39DR4uPk5ebn6Onq6+zt7u/g4fLz9PX29/j5+vv8/f7/8PMKDAgQQLGjyIMKHChQwb OnwIMaLEiRQrWryIMaPG/o0cO3r8CDKkyJEkS5o8iTKlypUsW7p8CdMHgJk0a9q8iTOnzp08 e/r8CTSo0KFEixo9ijSp0qVMmzp9CjWq1KlUqwIIdDWm1iBZ/3TdCnbH1z5jw5qtUXZP2rNs X6zN87at3BRx79Sdi3fE3Tp78/rt0HdO4L+ELwyOc7iw4giJ3zReDHnB4zaTI1sOUHlN5suL N6fxzJkw6DOjQ+ctXQa1abmqx7TmYdWoiNi0bW6ojVsvbqS6d8d2jTXLTJmlX9PIbFwG6uFE mH9Irhw4IOhohYymDgP5lOJJuG+X7vUK9ucexrvQLuX6EvXfxZjX8v68Ec/xV6CPArq+3vJU /vTj8F8FgCgIqMFmBJZwHxT0PbFge2EciF9/SiSo4G0OZgAhCAZK6F5wF85n4YcWZBjChhWG mB54fpCoIROVsdhigSJWACN/Ms7IRY3r4djcjSn6eCKGPEqgI2AqkjWkdUAGiUGRKDaZJARO PvnFlEdYCeWOQkb5AJaGUekEhQweyYeXI7q45JhpNiEmm2CGSaZaXP7wIodbRrgmmnnq+aCH eE64p5Z3Mvnlj4MS6oWZQyhKAaMM1DlnA44S+SafWRoKxqR0RtoDpJgW+ueliNJoZ6Z+jooA TTIF+mhNmLl6gKtljeVcqrW++labUvpk61VdwWoAsKCKOmKtxipg/pttRrLa5XC/5tprrMoS m+ipaj4aa6fMYptqAl/deixm3komZaVdZhtsut0Gm9W36r575rbcrtvuWrTGeGij0qqblnO/ risutV1ouuqn46LrgH6ekgpwwA37irDD/TJmbsIIt9twwO46zDHD+VJ6ML/zwsuBruV2u3G2 /16c8QQEkzddpHcpLC+yIU+scsQrh2xxzSPDay+9Lbtccc8Pkxxxx0WfHC/P9wYNtMA5Wgsn yN46qyquV9N6K9EfUwxwXRhHLe6xXfM8bNodnz22yF97TWq4bme9trR0eyw1Y/fqjPS7KeNd JdVugn1w2zs/67fa+hp2U9I38/2q322T/usz5UN3jbnJVjdquNBrN+624otjuLPEjnNcOuDV xmyw5WjPerjdZzMtOu2mj1z65LpLuvS5aB+Net9w5220xkLP+nrlNpdM9t8kC9u0qayH+vPV OkOcuPDDRz969pKBvnH4Q2u/udpx7R488YR3j/7dz4+/PfdChg860g32OX3xuMJOoNhgx243 +JVPdeVzntJy1zz4aW59ZEOX+E43QALSrn3vA97bIshA7PXNgEqrXcLcpzV2ZW5yIsQaCC9o l2b9jYNuKR7yjIc9f1muMQvrXt1O98DQGY93yvvdtwCow8kskIc5JOHebic/Ce6KZR1EohNR 6DrnrdBWP1uO/uCWN8MbnG9aAWSXCCO3vx8+poZ6UxUXoZe0zCHLfz0sYb2y5itw3Q2NNkwi kWDXxZyEsX5KxGC53Dc7iSWLjnX0GBsPWMUSXfF3DTyOfRjpQdtdS31IGOKVenfJQZ2vZVCD IBT5wsCoBZIF5jkiJqtXtU+CqI2bYmUrhxXHKIKRXzIMGyFDKSdJ0o05B3oPF0/pOlTFb3Cq LIIlM1ksxH1OmSvj2rRI2McUStKBAqSLpex4TWwCypXa4mY3t8RBCr4wjcBEDC6DOIOXefKc 2YxmJcupJG/CJkThbB7mnMa8/PGQcix8pKAi2R14ckWgQDjmKsF5uQTeEHLyRMNe/jq5w+j8 U5vbLGaPGpoDgxoTSNBMXzOT5z2K2mFm/gLhKP1ZUYC+E6P/IegrKblSzqlRdmvMI072+MtC 6kGd+3TZGZ95UxvBdFf2chZKhxpMFX6RBAbl1Ro12EShIlWlTI3TTjkVtscxNJ9TbVZN5dPG k9pyndw8zBS16kUEufSlgdNnKvF21qiu9Tp4BKtFISnLE2g0fT1FK8zuuiirwgWrW03Za8g4 P5S1kJWB6edfu+rYqKZuWYCNJ/7C0zrCmRKIlKUqxdzVTBN2MV1ireY0KVXStMpql2YbYzkN +9T2sfZfpSUfOz9bL1vG8Vm0RezU3GqC2jQJerm7JeOO/gIz2qYViaFNjFJI5z0EMvGEPuUN ++iozJD21qxJIV1uNQbbxFFXpk65KGapNzwxHtE7Xe3Z2BCo3snedr4ujO7DgLVXLG5OvnGN r22T6k6jcbZsveJlZ9t6XmH6jon6xZdnT/ZeciZUpAuOXucaibPKmhaf9WUwIgOsP0N6uIIb Pu0WeKqDTW7NhLW1ZtrkK1dXsmeW8J0wiPvKPvtulawm9iPuKhxe+1E4xKMbMFTHydIVrzao T/3qaH0sze8lsqWwHN9hMRpkIA4Yyj1ecHMxPOIh4xjIZGbZhZ07VwZnmZpcrWrOQuq50MEY lVcd80Jt4Nz6/XS8Gv5vGQ2s/kczlpS3YqbzHbkGXhaPls9dbrTs+FjgEMJRjEsdpk7LqDVB vzGEkm6xnYmM4y17NM4xLrFgQG3K6kz0xhtNMp7X+s32WtbSho5xDjvY2EUmWsJhjAGKfdvO S6f0wYF19avJu695ITmv9eQyKImo5FoK6NfGVnWfC3btWBO72DluYk5nplpOCjvK5Fp2qu0a 0Gxru9DclnVBYb1upjX7w15FH4/xioctmtvUal31uNOtbrHAW+DVdqSIcRhi4haW3XBQcaoj 6+Jhs9q87mYrwwda8HQ2bd4AVnZWL+4Gh4P0iaQMtrORWXFspzze/44p0SLccT+DS7u0zrek eHlT/p742uT0dfm2MR7wFA+c4JyjYmz5F8jZGSunn7Z5ZikO8ndnfOdTz87Qhd4h4PJ81lG3 +MS53nWW11ziA9M1wM8edrGfvNVBz+jV3Z71BCtY6m2He9212GZi3h3vcV9RqQ66crX3HPCB t/vej31Zv/+93YUneuMNf3ir532SCFb84uledclHXuMH9vnmOZ94JFmBUfm5fMsJn/ngPnbu WEAx5Amr+cm/9eeYlz3YU4/uyotePFPytKNRTnuvF8hRvv896suu9e345iezWb5VbuN8qvQm +kGZPvWhIlina8P1qzG43K/B/e5L9PvWCL/4Y7/7bJj//LkvEzfWz/6S/id/GvCPvwrqP371 25/c6ccG/vevevMnDf8HgG5GftVAgAU4G2YXDQmogA7Wf+DHEcpiXBB0S0vWKrvFYg4Yc9qn fx1xbq2SV4w0U7y2OgdIDRyoDNLVdBskZdaTMSrYgfwngR8BVbZWYTSlWG9mgsiHgvQHEkc2 W+sEbjxIYDH4aMLBgNAggyuoXx+VgfImXtEGha23hM/QhMhwg/3SUfh2OzDXgzKYhQPyfkF4 Z5HThdUEhUbEYfBxhc4whsXAgl/YZYeTOpv1Wz84gB6xXjtkYKC2cCSmY+Lxhs0Qh8GAX4IW QN82RzrYa2WzZBsIaaY3WPd3fZd4aJcYfQ/4/nQeqFdk0BeHyG+cCHSWR4bZN4qwR4qCN1JH JT3GFyCrSHnud3+guHaxKIt6F4H91neAeGK5qIu0GHGh14JKCIz+VmfD+Io5qHvHeHzJeIq9 WIxW6IxoJ4zRSIy15obV6Hm5pIzNqI3GyI3PWInfeILMeI7jyHjX+ImoeG+EqI5sZ4rtKI3h SI3xuI7eiI3L6IvbiI+3B430mI0zKI7/WHvsGID1SJD3aJDCV477WF0QQzCh+EG/VIQNZo/9 6GcN6X3zmJDXVXyIh45tOHxLBF2wyJHoh5C8GD83mI8EGYIUJkSlRpMpmX+7aIAR5JIAiZEY aSIj+VmDZ5MqqY8C/slOzqQyoLVFW/NkY8djL0RocGQ9hGYzg8ZppDaNQ0mUAfmRR5lVUilp 3LKG71hiF5mUHxcuf3hAF4Zr9yaKl/GW+1GLl8aFCiVkbEaWC1lqUPlxTvRG94SXSPZQWjlP AgiBJoZoFOQ4hjVng2eWOnSENCdXsMWFTOeFhLmVD2mUoXRkeBlR9HZDwHaZfbiDkqliUwiU qYiZEFmUXblf9hRusbk8Y7mRZTlBSHhWZrSYafSYGbmarriSOYlsnKaIsXSWNxctTXly+iYs gJScXkSVTXaZNBmXkVGdijSX5thLt0hlnfebNxmccqmdHamRjmd737lYeniYTCVH/cOd/sdh RehpbR7JkvyYlaMnn/OJk+I5kD3pg/lJdeq5euCol/iZHZpWVM7EPzh4eu95mIPGW9TRGtdp jlxZnwTqn3nYAj+0XMlmQYL0Qb4mod+zN1JEF6oRkjTYmheajveJixs6m3W1m2eYoRW6nmAm iK5JWRQqnOG5gBk4W5QGpFaZRUr2iMsJGAhqXIjWYBWIkt6JMaBlZTWZlz+qozhKoz26o4bA o1K1mRVURMFUhcmmdNNppj8JRiyUls/JV8F3QZ2pph0qglSpac+zdEKKMkiZaURqaHFFcov4 XZA4LmkpWtEyR/TDp1epqGrQpd6ppfxEakU4RTAWk+VJpdXD/oaDumPQ8nm11jlx6qExmj2h hZZsVlcApGVUOHOB6G1ytlR0qmZF6qoNZDhsqRmF2DtzSFZzqEEQdakbiVjQ9DSb6pvF6qWF g05JlWGJppa6+oicupbRdYE91V9T5peQI2qcZatkejFOqpCaeaUc5qtYFF5fJoiWWZOiKZiS iXBv52MwB6o+hJWk9aEblGEcqlxuSa24GaKDeK3BAy25yZsR1ZgOhavbwqQ1CpvMZadnRD7V 96bk6mHnxmhP2nm12oOfCZod1ZkzqqyxSq/6+mPkJKkTi62lWZXAw4LR+av96YnhKmHLpqwS +ZVNqrAUGbHIarIKhHttGGQMVUsx/tqrRliupiqxtES0ngStkBmZs0lL38WhT5R0oWlmSNuW tYmhL8uiJClFjchP4AOYGauwVYpvUAk+SGisZjp9bkRaxNWIfGZUlQY0d/qcJlWoimg/IQlI 48qmcSuoefpkh2R0nQaoR7qon3GwUFSt53SvOVqp7ygmmXq0OaqaZLt99uhLamsGjXqeVmqt n7m0oVqqaAtntvkkznqykJRflwuTMFq5Lquij7qYQTq1g/u1fxmJGli7FhtbbjRKCbtoFcu7 4DdCyHke3oq4hjmgLZq2nQigNqq1svuLQvmiz5ue9Cm9/pia2mu9riugx8q8BVq93St/3+uo GmqpBkq+/t6Lvfxpn82LXuvLmhaavQWZvuNrC+iaoMvKtthVgqLLaHraV8Lrjs8GvdzropRI C4K7Y61qY7fGlgnal0w5r8lrvp2LwPDLerGwSeuKsg1sl6DbSFy7r5Y7vRfsrsCXwKqYCh38 hJo6ub4DwTEXuh/Kua/LBqVki9SrwLPgwk4Lwzr7P5FKw5/mp4yauI9njRo8i7cArXXpV3Lr ZURctp5aODdswpQBnOE7tgyZC08MxGGWhjY8wgxsW3iExVhrTtkJu1ncxPl7c855PSa1q+Ja rx87kmmsxg23xf95vz0sCyVKwo7Ls3YcZmLKuI6RxG46eyvsvIE8wW16hyNn/kGK2aaDPLN8 rLzg68eOHL8LnHNBqoOJuIElFG2226FnW7cUSMGzpMibfL4nvL32K7/zC64IoonUl4m57Bu1 XL7t68sboceMHMwMMcxpV8wKccxfl8wPscwN2swR8cxOGc0TMc0OWs0Lcc1/xsvd7M3fDM7h LM7jTM7lbM5Vkc3prM7rzM7t7M7vDM/xLM/zTM/1bM/3jM/5rM/7zM/97M//DNABLdADTdAF bdAHjdAJrdALzdAN7dAPDdERLdETTdEVbdEXjdEZrdEbzdEd7dEfDdIhLdIjTdIlbdInjdIp rdIrzdIt7dIvDdMxLdMzTdM1bdM3jdM5rdM7zdM9/u3TPw3UQS3UQ03URW3UR43USa3US83U Te3UTw3VUS3VU03VVW3VV43VWa3VW83VXe3VXw3WYS3WY03WZW3WZ43Waa3Wa83Wbe3Wbw3X cS3Xc03XdW3Xd43Xea3Xe83Xfe3Xfw3YgS3Yg03YhW3Yh43Yia3Yi83Yje3Yjw3ZkS3Zk03Z lW3Zl43Zma3Zm83Zne3Znw3aoS3ao03apW3ap43aqa3aq83are3arw3bsS3bs03btW3bt43b ua3bu83bve3bvw3cwS3cw03cxW3cx43cya3cy83cze3czw3d0S3d003d1W3d143d2a3d283d 3e3d3w3e4S3e403e5W3e/ueN3umt3uvN3u3t3u8N3/Et3/NN3/Vt3/eN3/mt3/vN3/3t3/8N 4AEu4ANO4AVu4AeO4Amu4AvO4A3u4A8O4REu4RNO4RVu4ReO4Rmu4RvO4R3u4R8O4iEu4iNO 4iVu4ieO4imu4ivO4i3u4i8O4zEu4zNO4zVu4zeO4zmu4zvO4z3u4z8O5EEu5ENO5EVu5EeO 5Emu5EvO5E3u5E8O5VEu5VNO5VVu5VeO5Vmu5VvO5V3u5V8O5mEu5mNO5mVu5meO5mmu5mvO 5m3u5m8O53Eu53NO53Vu53eO53mu53vO533u538O6IEu6INO6IVu6IeO6Imu6IvO6I3u6I8O /umRLumTTumVbumXjumZrumbzumd7umfDuqhLuqjTuqlbuqnjuqpruqrzuqt7uqvDuuxLuuz Tuu1buu3juu5ruu7zuu97uu/DuzBLuzDTuzFbuzHjuzJruzLzuzN7uzPDu3RLu3TTu3Vbu3X ju3Zru3bzu3d7u3fDu7hLu7jTu7lbu7nju7pru7rzu7t7u7vDu/xLu/zTu/1bu/3ju/5ru/7 zu/97u//DvABL/ADT/AFb/AHj/AJr/ALz/AN7/APD/ERL/ETT/EVb/EXj/EZr/Ebz/Ed7/Ef D/IhL/IjT/Ilb/Inj/Ipr/Irz/It7/IvD/MxL/MzT/M1b/M3j/M5/q/zO8/zPe/zPw/0QS/0 Q0/0RW/0R4/0Sa/0S8/0Te/0Tw/1US/1U0/1VW/1V4/1Wa/1W8/1Xe/1Xw/2YS/2Y0/2ZW/2 Z4/2aa/2a8/2be/2bw/3cS/3c0/3dW/3d4/3ea/3e8/3fe/3fw/4gS/4g0/4hW/4h4/4ia/4 i8/4je/4jw/5kS/5k0/5lW/5l4/5ma/5m8/5ne/5nw/6oS/6o0/6pW/6p4/6qa/6q8/6re/6 rw/7sS/7s0/7tW/7t4/7ua/7u8/7ve/7vw/8wS/8w0/8xW/8x4/8ya/8y8/8ze/8zw/90S/9 00/91W/914/92a/928/93e/93w/+4S/+/uNP/uVv/ueP/umv/uvP/u3v/u8P//Ev//NP//Vv //eP//mv//vP//3v/wQQH1OX2x9GOWm1F2e9efcfDMWRLM0TTdWVbd0XjuWZru0bz/Wd7/0f GBQOiUXjEZlULplN5xMalU6pVesVm9VuuV3vFxwWj8ll8xmdVq/ZbfcbHpfP6XX7HZ/X7/l9 /x8wUHCQsNDwEDFRcZGx0fERMlJykrLS8hIzU3OTs9PzEzRUdJS01PQUNVV1lbXV9RU2VnaW ttb2FjdXd5e31/cXOFh4mLjY+Bg5WXmZudn5GTpaepq62voaO1t7m7vb+xs8XHycvNz8HD1d fZ293f0dPl5+/p6+3v4eP19/n7/f/x9gQIEDCRY0eBBhQoULGTZ0+BBiRIkTKVa0eBFjRo0b OXb0+BFkSJEjSZY0eRJlSpUrWbZ0+RJmTJkzada0eRNnTp07efb0+RNoUKFDiRY1ehRpUqVL mTZ1+hRqVKlTqVa1ehVrVq1buXb1+hVsWLFjyZY1exZtWrVr2bZ1+xZuXLlz6da1exdvXr17 +fb1+xdwYMGDCRc2fBhxYsWLGTd2/BhyZMmTKVe2fBlzZs2bOXf2/Bl0aNGjSZc2fRp1atWr Wbd2/Rp2bNmzade2fRt3bt27eff2/Rt4cOHDiRc3fhx5cuXLmTd3/hx6dOnTqVe3/n4de3bt 27l39/4dfHjx48mXN38efXr169m3d/8efnz58+nXt38ff379+/n39/8fwAAFHJDAAg08EMEE FVyQwQYdfBDCCCWckMIKLbwQwww13JDDDj38EMQQRRyRxBJNPBHFFFVckcUWXXwRxhhlnJHG Gm28EcccddyRxx59/BHIIIUcksgijTwSySSVXJLJJp18EsoopZySyiqtvBLLLLXckssuvfwS zDDFHJPMMs08E8001VyTzTbdfBPOOOWck8467bwTzzz13JPPPv38E9BABR2U0EINPRTRRBVd lNFGHX0U0kglnZTSSi29FNNMNd2U0049/RTUUEUdldRS/k09FdVUVV2V1VZdfRXWWGWdldZa bb0V11x13ZXXXn39FdhghR2W2GKNPRbZZJVdltlmnX0W2milnZbaaq29Fttstd2W2269/Rbc cMUdl9xyzT0X3XTVXZfddt19F9545Z2X3nrtvRfffPXdl99+/f0X4IAFHpjggg0+GOGEFV6Y 4YYdfhjiiCWemOKKLb4Y44w13pjjjj3+GOSQRR6Z5JJNPhnllFVemeWWXX4Z5phlnpnmmm2+ Geecdd6Z5559/hnooIUemuiijT4a6aSVXprppp1+GuqopZ6a6qqtvhrrrLXemuuuvf4a7LDF Hpvsss0+G+201V6b7bbdfhvu/rjlnpvuuu2+G++89d6b7779/hvwwAUfnPDCDT8c8cQVX5zx xh1/HPLIJZ+c8sotvxzzzDXfnPPOPf8c9NBFH5300k0/HfXUVV+d9dZdfx322GWfnfbabb8d 99x135333n3/HfjghR+e+OKNPx755JVfnvnmnX8e+uiln5766q2/Hvvstd+e++69/x788MUf n/zyzT8f/fTVX5/99t1/H/745Z+f/vrtvx///PXfn//+/f8fgAEU4AAJWEADHhCBCVTgAhnY QAc+EIIRlOAEKVhBC14QgxnU4AY52EEPfhCEIRThCElYQhOeEIUpVOEKWdhCF74QhjGU4Qxp WEMbYd4QhznU4Q552EMf/hCIQRTiEIlYRCMeEYlJVOISmdhEJz4RilGU4hSpWEUrXhGLWdTi FrnYRS9+EYxhFOMYyVhGM54RjWlU4xrZ2EY3vhGOcZTjHOlYRzveEY951OPHCgAAOw== --------------000004070700060306090301--