Return-Path: Received: (qmail 21094 invoked from network); 13 Nov 2002 09:54:42 -0000 Received: from murphys.services.quay.plus.net (212.159.14.225) by mailstore with SMTP; 13 Nov 2002 09:54:42 -0000 X-Priority: 3 Received: (qmail 16681 invoked from network); 13 Nov 2002 09:54:07 -0000 X-MSMail-Priority: Normal Received: from post.thorcom.com (193.82.116.70) by murphys.services.quay.plus.net with SMTP; 13 Nov 2002 09:54:06 -0000 X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2800.1106 X-SQ: A Received: from majordom by post.thorcom.com with local (Exim 4.10) id 18BuCl-0004lO-00 for rsgb_lf_group-outgoing@blacksheep.org; Wed, 13 Nov 2002 09:53:03 +0000 Received: from [213.218.77.53] (helo=cmailENV1.svr.pol.co.uk) by post.thorcom.com with esmtp (Exim 4.10) id 18BuCk-0004lF-00 for rsgb_lf_group@blacksheep.org; Wed, 13 Nov 2002 09:53:02 +0000 Received: from [62.21.167.91] (helo=w8k3f0.freeler.nl) by cmailENV1.svr.pol.co.uk with esmtp (Exim 3.35 #1) id 18BuCb-0001sV-00 for rsgb_lf_group@blacksheep.org; Wed, 13 Nov 2002 09:52:54 +0000 Message-ID: <5.1.0.14.0.20021113101903.00a78930@POP3.freeler.nl> X-Sender: FRE0000086604@POP3.freeler.nl X-Mailer: QUALCOMM Windows Eudora Version 5.1 Date: Wed, 13 Nov 2002 10:55:06 +0100 To: rsgb_lf_group@blacksheep.org From: "Dick Rollema" In-reply-to: <2D280BB697C7EE4C979C5C89925418EF368F80@TNS-FBU-2E-003.corp .telenor.no> MIME-Version: 1.0 Subject: Re: LF: RX Frame Aerial for 136kc/s - still experimenting..... Content-Type: multipart/mixed; boundary="------------040802070505010706090306" X-Spam-Status: No, hits=1.0 required=5.0tests=BIG_FONT,EXTRA_MPART_TYPE,IN_REP_TO,MIME_LONG_LINE_QP, SPAM_PHRASE_00_01version=2.42 X-Spam-Level: * Sender: Precedence: bulk Reply-To: rsgb_lf_group@blacksheep.org X-Listname: rsgb_lf_group This is a multi-part message in MIME format. --------------040802070505010706090306 Content-Type: text/html; charset=windows-1252 Content-Transfer-Encoding: 8bit Jan_Martin and All,

You could use your loop aerial, together with a selective level meter, for field strength measurement on strong signals by using the coupling loop on its own with the tuned loop open circuit. The voltage induced in a loop is given by Terman , first edition, on page 813:
Loop.jpg
in which:
epsilon = field strength, volts per meter
N = number of turns in loop
A = area of loop, square meters
lambda = wave length, meters
phi = angle with respect to loop

Cos phi = 1 when loop is turned for maximum signal.

At the low frequency concerned I don't expect that signal pick up from the electric field by the unscreened loop will disturb the measurement.
To check this you could turn the loop 180 degrees. This reverses the polarity of the magnetically induced voltage.
If this produces a different reading then you could take the average of the two readings.

In the tuned loop, when open circuit, no current should flow that could affect the magnetic field. In practice the loop is not completely open circuit because of the distributed capacitance between the turns. But hopefully this effect is not too disturbing. You could rig a duplicate loop without the tuned winding to check this.

I use a square untuned single turn loop of 1 square meter. It is made of coax with the outer shield open at the point opposite the take off point. On DCF39 (500km distant) it produces a voltage of 4.9 microvolt, easily measured by the SPM-12. The impedance of the loop is so low that it makes no difference whether the 75 ohm loading resistor at the input of the SPM-12 is switched on or off.

I expect that at your location you will obtain a suitable reading as well.  Do it during daytime, because after dark the sky wave may wreck the measurement.
Once you know the FS of DCF39 you could use that to calibrate your other aerials. 

73, Dick, PA0SE
JO22GD
 
At 12:16 12-11-02 +0100, you wrote:
Hi

still experimenting with frame antenna for 136kHz. The attached drawing (20kB)
shows almost how it would have been made today, somewhat different from
the actual antenna.

Experienced that it was no need for amplifier for a loop for 80m reception
(used to avoid electrical noise from the open power lines),
and now also experienced that an amplifier did not improve reception for my
136kHz aerial,
the coupling has 1/100 area of the whole frame, seems to work for 50 ohm,
the tuning range seems to be somewhat too small, need somewhat increased
capacitance in cold weather, but it is low enough for rain.

The S/N ratio is almost the same with the coupling loop as for high impedance
amplifier connected to the end of capacitance.

The aerial has been tested in +10°C....-2°C

Signal strength last night for DCF39 was 80-150µV (-75...-80dBU)

Not sure if it is still a point to ground the center of the tuned loop.

73

Jan_Martin
LA8AK@online.no (WW.Loc: JO38XC)
N4623-Kristiansand (tel.: +47-380-87178)
http://www.laud.no/la6nca/la8ak/
--------------040802070505010706090306 Content-Type: image/jpeg; name="Loop.jpg" Content-Transfer-Encoding: base64 Content-Disposition: inline; filename="Loop.jpg" /9j/4AAQSkZJRgABAQEBLAEsAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRof Hh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwh MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAAR CAB+AnMDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAA AgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkK FhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWG h4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl 5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREA AgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYk NOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOE hYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk 5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooqOETKhE8kbvvYgohUbdx2jBJ 5C4BPcgnAzgAElFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUVXmRJby2Eln5vl7pY5yFIhcDbxk7gxV3AIHQMCRkA2KACiiozPCtwlu 0sYndGdIyw3MqkBiB1IBZQT23D1oAkooooAKKKKACiiigAooooAKKKKAK81vLJeW06Xs8UcW 7fAgQpNkYG4lSwx1G0r75HFWKKKACiiigAooooAKKjmnhtkDzyxxIXVAzsFBZmCqOe5YgAdy QKkoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKrzX9nb3ltZzXcEd1dbvs8LyAPLtGW2qeWwOTjpQBYoorm59V0rw/4gv5 tb8WWkL3iRG2sbu6jhW3iUEZVSQWLOXJc9cKv8FAHSUVn6Zruj635v8AZOq2N/5OPM+yXCS7 M5xnaTjOD19DWhQAUVXvr+z0yzkvL+7gtLWPG+aeQRouSAMseBkkD8ap6b4l0HWbhrfS9b02 +nVC7R2t0krBcgZIUk4yQM+4oA1KKKKACiiigAooooAKKKjmnhtkDzyxxIXVAzsFBZmCqOe5 YgAdyQKAJKKKKACiuf8AFfjTQvBVnb3Ot3fkrcSiKJEUu7cjcwUc7VByT+HJIB3IJ4bq3iuL eWOaCVA8ckbBldSMggjggjnNAElFFFABRRXnfi34z+GfB3iCXRb2DUri7hRWl+ywqVQsNwUl mXJ2kHjI5HOcgAHoEE8N1bxXFvLHNBKgeOSNgyupGQQRwQRzmpKy/Dmv2Pinw/Z61prSG0uk LJ5i7WUglWUj1DAjjI44JHNalAFewuvt2nW159nnt/PiSXybhNkke4A7XXswzgjsasUUUAZ8 1reP4hsrxLjbYxWk8UsO8jfI7wlG29DgJIMnkbuOprQqnq1nNqOjX1lb3clnPcW8kUdzHndC zKQHGCDkE56jp1FSWENxb6dbQ3l19ruo4kSa48sR+a4ADPtHC5OTgdM0AWKKKKACivM/iN8X l8A6pbWC+H7u+MqFmnkZreLPB2o5QiQgEbscDIGScgdJ4A8Y/wDCdeF01r+zJ9P3SvF5crbl bafvI2BuXnGcDDBh2yQDqKKKy/Eev2Phbw/ea1qTSC0tUDP5a7mYkhVUD1LEDnA55IHNAGpR WP4Y8T6X4u0OHV9In823k4ZW4eJx1Rx2YZH5ggkEE7FABRRRQAUUUUAFFFFABRRRQAUUUUAR zQQ3KBJ4o5UDq4V1DAMrBlPPcMAQexANSUUUAFFFFABRRRQAUUUUAFFFFABRXB/Fnxy3gfwc 89nLGurXj+RZhgrbT1aTaTyFXvgjcyZBBrQ+Gmv33ij4eaRrGptG15Okiyui7Q5SRk3Y6AkK CcYGScADigDrKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKr3F19nntI vs88v2mUxb4k3LFhGfc5/hX5Nuf7zKO9AFivM/i38M7HxhpdzrUZu11qwsnFusA3icLlxGU6 kk7gCuDl+d2AK9MooA+YPgBonh3W/EN//atv52p2PkXun/PIuzY53t8pCnDGLhs/TrXX/G3w XpOp6no66XaY8Va7qCReaWlYNCke12YDKqq/uiSBnAJ5wa4jWBb/AAy/aES6hg+zaYl2kwMs J2LBMmJTGqAZVd8gXAONgHODn1e0t/7e/aJ1G9ksf3Ph3SorZJ/N/wCW0vzq23jqkkq45Hy5 4JFAHWeEfAmgeCLeWLRLWSJ50jW4lkmZ2mKA4Y5OAfmY/KAOenSti81bTdPuLW3vdQtLae7f ZbRzTKjTNkDCAnLHLAYHqPWuP+L/AIrm8JfD67uLQyLeXriyt5EyPKZwxL5BBBCq5BGcNt4x muf8KfCPwvrfw+srnWreS91TVrdb241IyuJ/MkDOCCWIyokwezFQWB4wAema3omneI9Hn0nV rf7RYz7fMi3sm7awYcqQRyAeDXhHwdsbfTPjr4ssLOPy7W1ivIYU3E7UW5jCjJ5OAB1ro/gp 4ovor3Vfh/rEklzeaK8ohuQ+5BFG6xmMEgNgMcqTng4+UKAcP4Wf8nC+Nf8At+/9K0oA7z4z +Lm8K+A5ls72S21S/cW9q0LKHUZBkYZOQAuRuHILr0yCO8sHSTTraSK8+2xtEhW6yp84EDD5 QBTnr8oA54GK8L/aH8JaRa6bb+KoIZI9Uub1Le4cSErKvlNglTkAgRKBtx1Oc8Y9U8N/Dvwr 4R1GS/0PSvsl1JEYWf7RLJlCQSMOxHVR+VAHQX1/Z6ZZyXl/dwWlrHjfNPII0XJAGWPAySB+ NFjf2ep2cd5YXcF3ayZ2TQSCRGwSDhhwcEEfhXg8OkajN8ctX1Tx5o32nQIPOSG+1MqlnbQ7 v3BBb92+QwXZ13SFj8ymrHwf1HToPir4i0bwtqE83hWS0N5bwybsCTMQJG8Bhje688kKuS2A aAPbNWZl0a+ZL+PT3FvIVvZFVltztP7whuCF64PHHNU4vFfh+406+v7XWrG7tbCIzXT2k6z+ UgBOSEJPRW+uDivI/wBpPVb610vQtMguZI7O9ed7mJeBKY/L2bu5ALE46ZweoGOQ+OXgTQPB lxokug2slql4kyyxGZpFyhTDDcSQTvIPOOBwOcgH0vpurabrNu1xpeoWl9ArlGktZllUNgHB KkjOCDj3FYet/EXwj4c1GfT9W1uC3u4Ilmkh2u7KrEAD5QctyDtHzbfmxt5rzuHwhN8G/hN4 p1FdQku9UvbeKN2gYwrbs37tTG3LEq0rNu4zheF61yngDV/hrF4VvZPFNrPqmtXX77U7i4tX uDEskzR7lkAymAyOzghiZBgswCqAfScE8N1bxXFvLHNBKgeOSNgyupGQQRwQRzmpK8P/AGbt ZvLvQ9a0iZ99rYSxS2+SSU83fuUZOAuUyAAOWY85r3CgDzP4raN8PNVSCXxfqsenXlsgZJLe VRdPEzEBdm1mdN2T904IYggbs9pLqHh/wjp1jYXWo2Ol2scQhtUu7pY8pGAMAuctgbfXqM9a 8v8A2jrCz/4Q3T9R+yQfbv7Qjg+0+WPM8vy5W2buu3POOma6jxF4c0tfg3JDdWcF9Jpfh+RL W4u7PbJGVt8bwrjdEx2qcdQQM8igDUvfib4L0/S49Sn8QWhtJLiS2R4d0paRPvAKgJwODuxj DKc4Zc7mja5pfiHTkv8ASL+C9tWwN8L52kgHaw6q2CMqcEZ5FeH/AAB8E+H9Y8Pajreq6bBf 3X2trREu41ljjRUR8hCMbiW6nPAAGMnNT4CR32h/EvxJ4cmmjZIbeRbhYxlXlhmVAwJAOPnf 0znkcDAB73rOuaX4e057/V7+CytVyN8z43EAnao6s2AcKMk44FeGfGzxh4U8YeBbCfRNStLy 7g1MJgoUnRDE5bCuA+wnZkgYJA7ijVdStPHX7Slho1+sd7o+mvJbpbuHCGSOJncspOCfNXae MMEUHI62/wBobwvo9l4Z0rV7KxgtLqO7WzP2eJIw8ZiO0NgZO0RKF5wASMegB6B4d1vQvB3w l8OX+p3EGn2P9n22SEPzSOgY4VQSzElmOAT94nua1NJ8feF9d0bUNW03Vo57PTkZ7thG6tEo UsSUKhsYBwQOcEDJBqv4W0nTdZ+Gnhi31TT7S+gXTLR1juoVlUN5KjIDAjOCRn3NeZ/s46fZ 3Hh7xI04gn+0yx289u8gfMYRsboivCnewySQ2CMDadwB6ZoHxL8H+KNUXTNH1qOe8ZC6xNDJ EXA67d6gE45wOcAnoDWxr/iPSPC2ltqWtX0dpaBwm9gWLMegVVBLHqcAHgE9Aa8MsbCz0z9r GOzsLSC0tY87IYIxGi5sSThRwMkk/jUni4TeMf2lNM8O38kf9n6e8ZSF0MiOqxC4cMhOCXxs J9AuQccgHo+gfGHwX4i1RdNtdRkhu5LgwW6XMLIJ8dGVugDdAGKsTxjJGek8SeKdG8I6dHf6 5efZLWSUQq/lPJlyCQMICein8q4f4jfDPWPGfjLQdWs9Z+y2NlsWaISvHJDiTc0kJAYeYRgZ IGCi8nt5p8TNRvtR+PlvYXVtd6vYabcWzRabBB5xaLZHLKqx9GLDdnPUAAnAGAD2Pwd8WPC3 ja8+w2E89tfncUtLyMI8iqASVIJU9Txnd8rHGBmuk1/xHpHhbS21LWr6O0tA4TewLFmPQKqg lj1OADwCegNeJ/FC18ReNtM0jxHpHgnXNPv7CWTFwTGk4jEmI8RKfOLAgOOAEy2NwO4QfFaa 4174p+BNH1q18q1nitXuLDzA3lPNPtmTzFwTwirkH+HIxmgDX8a/E7wt498CeJ9D02++yXUM SzQvqAEKXaxyq5ERySWIThWCsdw44bHYfBL/AJJDoX/bx/6USVY+Lnh638Q/DXVknbZJYRNf wPgna8SkngEZyu5ec43ZwSBVf4Jf8kh0L/t4/wDSiSgD0CiiigDwPwUYfAn7QereD9Kjk/sn UEAEbuCYmWHz1OSMkLmRAM9GBJJHPvlfP/8Azd5/n/nwr6AoAKKKKACiiigAooooAKKKKACi iigAqOGFYEKIZCC7P88jOcsxY8sScZPA6AYAwABUlFABRRRQAUUUUAFFFRwTw3VvFcW8sc0E qB45I2DK6kZBBHBBHOaAJKjnnhtbeW4uJY4YIkLySSMFVFAySSeAAOc1JXl/xMe48aaja/Dn RLyBJ58XerykhvstshUqCuOWZmQgAg/KucK2aAPNPiNHq/xB8MXHxDkElpodo622mWQIdnjM hR5pPnAQlsL8oYnCgjau8+t/BL/kkOhf9vH/AKUSV558RfhxrXhz4atPJ451K9sNNt4oG094 ykUoM+F4D4AUOuNwY/IMEDaF9D+CX/JIdC/7eP8A0okoA7yaCG5QJPFHKgdXCuoYBlYMp57h gCD2IBqSiigAoqOSNneFlmkjCPuZVC4kG0ja2QTjJB4wcqOcZBkoAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooA8T/AGkNEmu/DWkazF5jJYXDxSosZYBZQPnZv4QGjVeR yXHPr0HwG02Gx+FdncRNIXv7ia4lDEYDBzFheOm2NTznkn6D0DVdKsdc0u40zU7aO5s7hNks T9GH8wQcEEcggEYIqSwsbfTNOtrCzj8u1tYkhhTcTtRQAoyeTgAdaAOL+LPgibxx4Oe3smkO pWj+faR+eUjkboVYfdJK5Ck4we4BbOP4G+KPhey8Fadp2tahHpWp6XbrZ3VncK4dGiVh0KjJ KxE4GcFlT7xAPqlV5rCzuLy2vJrSCS6td32eZ4wXi3DDbWPK5HBx1oA8X+EGj3Fjda38SvFD waXHqu4w+bKIo9ksodnIb7qltgTLcjPBBUnkPAHjbw7onxk8Ua/qOoeTpl99r+zz+TI2/fcK 6/KFLDKgnkCvpueCG6t5be4ijmglQpJHIoZXUjBBB4II4xWH/wAIJ4P/AOhU0P8A8F0P/wAT QBxf7QGlX2p/DlHsbaScWV6l1cbOSkQjkUvjqQCwzjoMk8AkWNH8dWnxB13wqNEtpJhZu99q zAOFsGNtJGsRZlUOWaVgCv8AzzJxjJHplV7Gws9Ms47OwtILS1jzshgjEaLkknCjgZJJ/GgD wex8a+Grj4h+Kx8R7qC7jsLt7PSIbuzaeOKISyb8IiFd3yxDew3EADOM1zk/j1YPiH4q8R3V pqWjjXdCli0t3RlfJjQQy5GCAxi4ZcgEjnALV9NzWFncXlteTWkEl1a7vs8zxgvFuGG2seVy ODjrUhgha4S4aKMzojIkhUblViCwB6gEqpI77R6UAfPHxnPiOz8K+CrPXI5JdLS3hN+FfM7X iIA4eYhlBKltp5yd5IbArk9F+I2jweNLbxDrukarrE1v5cVs97qSTG2jUKAwXylDyAh2BJUE tk/N859j+IfhLX9R8eaL4jtNGtPEWl2Nu0D6NcXKoGdhJmTEgKY5j55JKrxxkXE8bXuo2baR o3wx1yW3W0KfZtSgjsYNgKII/nJUrsLcD+6BtIJKgGpdz6R8V/hlfppUsc0V9bsiLMxQwXCg Mgk25KlXCEjkEYI3AjPB+APHlv8ADfR08GeO7efSLyz3y28vkmWOSJ23D5oy25tzScgbQFwT uBFd58MvC994X8NXKanHaQXmo3smoS2lom2K1LhR5S8kYUKOnA6DIGT2lAHF+DbzxHr2s6p4 g1W0u9J0uVEttO0u4+WQqjOWmlQjKOS2BgjgchsIx7SiigDwv9oLWJr7QTo0Wh6yEsL2K4l1 FrQ/ZCpjYYWTPXdIq8gcgj67F343m1T4USWUHgzxAt3d2VxpZgstLIit5kiEbYUMSsQdio7/ ALthjK165RQB4n8EbnUvDHhXV9L1Twx4ghniebUlZrBlWVQka+Um7BaUlThcc+tc58OZfEml /F++12/8Ga5Da63LNE5NpJi186ZXDMxUAqpABPHGT2wfo+igDxfxT4P1Hwr8XLL4gaLoc+p6 acvf2tlt85JHUxMyRgAtkOH4ySwcsVBzWX8VtS8R/ELw1Ba6L4M8QQWllcC4uvt1j5UrMQUj EShiXHzPuwpx8p4Ga98ooA4f4W6rql94Ss7HUvDt9pH9mWkFoHvBsM7opViqEBgu0RnJHV2U Z25Pm/gG0134Q+IdesNR8K65qtjebDb3mmWom3rG8gUlQSF3BicFty4HBzkfQFFAHzBZ+KfE GlfHQ6/q/g6dr7UYlK6dHA0k8cBjADxesgRCG4H/AC0UhOdvpfxS+H+r6zr2keMPDfl3GsaU 8QFjOwVJlSQupBJGCGY5BIyOhBGG9UooA8f1fWfEHxPgtvCi+DdV0fTbvyZdVvtRRofKRHDu kOVwzZChWPXJygGWEfxK+Gd8NUs/HPhsyX2uac8M9zbzjcbww7drgLtG/CDKLgMPugNw3slF AHjepeIPGXxKsF8LWvhLUvDcV6g/tHUr4SKsMQc7kj+VN5Zdgx33MpGMuLnxT+HGqavLoviD wmd2t6P5caJNLueVEYNGd8rFSyNknd97cckkAH1iigDwvxN4j+IfxA8K3+maf4L1LQYkQyXc 00rBp4gjkwohjV2LkAfJnsDgMa3PgfP4ptPDiaFrPhmewsLLzfIvZyYndmcPsMTDcfvud4wv GOoJr1iigAooooA+f/8Am7z/AD/z4V9AV8/+O/8Aig/2gNI8YX37zTNQxufp5WIhBJwNzNtV lfoM7to6E19AUAFFFFABRXD/ABE8fXngX+yfsvh2fV/7QlaAeVKU2yfLsThGyzZbA4J2nGe3 L/8AC3/GH/RJtc/Ob/4xQB7BRXj/APwt/wAYf9Em1z85v/jFd54K8Sal4o0aa91Tw9d6FOlw 0S210W3OoVTvG5FOCWI6fwnmgDpK83+LHxI/4QuztdNsJoI9X1HISeb5kso8gGZ0ALHqdo2k Ha3Xbtb0ivP/AIlfCyz+If2Gf7d/Z19abk89bcS+ZGedrDKng8jnA3NxzkAHD+KdC+IvgLw5 d+LR8QZ7y6XZ9rtJIt0KeY6g+UHLLw5UDCJ8ucY+6fRPhn4+h8f+GjeNFHb6hbOIry3RwQGx kOozkI3OM9wwyduTyfxdvtL0H4Z2vgO0knutTuora1sbVF8yZkjdMMwGOuzaMD5mPA4OD4f6 Zp3we+Gs+v8AiSbybvUNk0sQVhJ90mK3CMRmQZcngYLNk7U3UAewUV4HN+0nNbOEn8FyROUV wr6gVJVlDKeYuhUgg9wQauaH+0Jca9rllpdr4LnlmuZVjCwXwd8fxEAxqOBk8so45IHNAHuF Fef+Ofixpfg/UYtGtrOfV9dl2hLG2ONpYgKrtgkMwOQoVieMgBgT0HhG+8S6hp13N4o0iDS7 r7W4t7eGVZcQYUqWYMQWyWBPGcdBQB4J8c/BWg+F7iLVLWfUpNU1q9nuHWV0MCLnc4GFDA7p ExyeAc9q9H+Avihdc8BjSpZJGvNHfyX3uzlomJaM5IwABuQKCcCMdAQKuXlmnir42iGY/adM 8O6UwmgZF2C5ugVKOGGXVoeeMgbRyMkHzTwJKvww+Ot94YnuJHsLxxZxt5jEZfa9uzgLhnww Q8AAyMc46gEl98KvDWq/G2TwvpMs9rpltp4ur+JJW3xPgALGzq2c74WOc/ebkYAHvfhzQLHw t4fs9F01ZBaWqFU8xtzMSSzMT6liTxgc8ADiuH+FV4viPW/Gvi2K4jkg1DU1tIFSJkHlW6Yj f5jnLLIuQQMEH1wPTKAM/W7TUb7R57bSdU/su+fb5d59nWfy8MCfkbg5AI56Zz2ry/Sfg74l 0TXJ9bsviLP/AGncReTNdT6Ys7uny8EySN/cX8sV6Rr3irQvDH2P+2tTgsvtkvkweaT8zdzx 0UZGWOFGRkjIrH/4Wp4G/wChmsf+Pv7H94/f9en+r/6afc/2qAM/xt4C8ReMft1l/wAJn9j0 S68v/iX/ANlxybdu0/6zcGOXXd+OOlU/BXgbxp4Nv9O09fFFpeeF7V5g9obRY5CrIWUg7WOf NdiRv4Cjk52jUvPjB4BsZRHL4jgZju5hiklHDFTyikdVOPUYIyCCa/8Awu34ef8AQw/+SVx/ 8boA9AoqOcTNbyrbyRxzlCI3kQuqtjglQQSM9sjPqK8z+N3jq48I+F4rHTjPDqWq744rqJgv kIhXec9dxDBRjGMk5BAyAeoUV8weLvBOneGvhL4W8SaJp98urS/Z7u61WOZj5O9NwBAYbPnZ ArBeNoBbJG7q/iB458TaR8GtCTU5ZNO8Uaq+JfKDQyrFGSxcFCAjkeTuXj/WMNo5CgHsn9pW FtrH9mz6tAb+6/ewWUs0YkCBcHYgwxX5GbJzzu5wABoV43pPwK8L6j8PrFLizu7PXLiyjkkv JJH8yGZgGIMRIXAJ27cA4HUN81YfhL4jeKde+D3iuJf3+raNaII74ylZGhfducnI/eIiOwbO SQvBIO4A+gKr2N/Z6nZx3lhdwXdrJnZNBIJEbBIOGHBwQR+FfKFj/wAKp1HwlHp839q6Xr8V oZDqU+5oZrjafkITfiPc3ZAdqdc9fe/gxBNbfCTQUnikicpK4V1Kkq0zsp57FSCD3BBoA7yu b8c+M7HwL4ak1i+jkmJcQ28CcGaUgkLnGFGFJJPQA4BOAekr50+NGtal4n+JGm+DdLsJL0WL ozWZLKtzM6h/m2uPkEZA3fKVzJyBzQBpyePvHvgnXNA1HxreWMmja5uZrKOAo9ih2Ekjyw4Z BIPlJfOGB5w1e8V8sfEG78Y+LPFvh/w/4zsLHR5lzIslqN4igkYCSZ/3jDagiZjyuApJ45r6 noAKKKKACiiigCOAzNbxNcRxxzlAZEjcuqtjkBiASM98DPoKkoqMQQrcPcLFGJ3RUeQKNzKp JUE9SAWYgdtx9aAJKjjkZ3mVoZIwj7VZiuJBtB3Lgk4ySOcHKnjGCZKKACo4ZlnQugkADsnz xshyrFTwwBxkcHoRgjIINSUUAFFFFABRRRQAUV5XfeBfF8vxwi8VWmrx2+jlEVsSs7CFFQNA YyMYdt5GMgctwwUH1SgAooooAKKK+f8A9onwv5NraeJv7VvpfNuxbfYZpN8MO6L70Q/gz5Xz DncTnjHIB9AUVz/gT/knnhr/ALBVr/6KWugoAKKKKACiiigAooooAKKKKACiiigAqMGb7Q6t HGIAilHDksWydwK4wABtwcnOTwMcyUUAFFFFABRRRQAUUUUAFFRwwrAhRDIQXZ/nkZzlmLHl iTjJ4HQDAGAAKkoAKKKKAPE/jz4ia6OneAbLS47rUNTeGZJpdo8smQogjJPDswILHACkjncS vefD3wJ/wgejvY/23falvx8sx2wxYZz+6jydmd/zcnJGeOleWTQQ3P7XISeKOVA6uFdQwDLZ BlPPcMAQexANfQdABRRRQBxfj7SPG+qPpT+DdbtNMNu8r3P2gnEpKhU42OGABfg8ZKnkgEcn /wAI98c/+hz0P/vyv/yPXsFFAHiepeC/jZqtusFx4201EVw4NrK9u2cEctHCpI56Zx09BXoH w80bxNoPhprDxVqsep3i3DtFOsrSkREKQrO6hid2/rnggZwAB1lFABXL+OvHWl+A9DN/fnzb iTK2tojYe4cdh6KMjLds9yQD1Fc34l8A+F/F9xBca7pMd1PAhSOQSPG20nOCUYEjOSAc4ycd TQB4B4C+I3hXQtUuvE3ieLWdW8U3bsWuRBEUgU8YjzIOSvGcDA+VQBnd6/4E8S6b450jW/EW oW8a6fbawZrQagVcWixQRYkBPEZ+8/H3SzcnkmT/AIUl8PP+he/8nbj/AOOV1ml+HNI0bw+u g2VjGulqjp9mkJlUq5JYHeSSCWPBz1oA+bL7Wf8AhItM+JHjjfPYtefZtNscHyhNG0ib4+p3 SeVChZVbGGbIwRj6H8Cf8k88Nf8AYKtf/RS1Xt/h34VtPC934ag0rZpF3KJp7f7RKd7gqQdx bcPuL0Pb610FhY2+madbWFnH5draxJDCm4naigBRk8nAA60AfKmu+G4dc+NPiLTPE/iGPRC9 xLLDdXYEqspIaJCxcBR5RGMkY2hcZwK9f+G//CF+AvBWo3EHiuO9tEvZI7q9lZo4mmRc7IYy SGOzBym4vjgkAAdx4l8H6B4wt4INe02O8SBy8RLsjISMHDKQcHjIzg4HoKk/4RPw3/Z39nf8 I/pX2HzfP+zfYo/L8zG3ftxjdjjPXFAHnfwX8U6brg1+9urq0h1rVtYmlS2luVa4aERoUQZw zIg3gcYABwBzXMftD6A2napo/i/Tlkt53f7PPcQsqFZU+aFhjDb8Bxu5wI1HGBn2ux8J+G9M vI7yw8P6VaXUedk0FlHG65BBwwGRkEj8aPEnhbRvF2nR2GuWf2u1jlEyp5rx4cAgHKEHox/O gDH+FmjXmgfDPRNOv08u6WJpXjIIKeY7SBWBAIYBwCOxBrsKKKAM/U9C0fW/K/tbSrG/8nPl /a7dJdmcZxuBxnA6egqPStJ0HRri4t9I0/TbGdkR547SFImK5YIWCgHGQ4BPo2O9aleX/FD4 Z2WsadqPiXRreeHxVDsuoriCeTfIYgBtCjPzbV+XaAdwXnrkA9EvNJ03ULi1uL3T7S5ntH32 0k0Ku0LZByhIypyoOR6D0ofSdNkt7S3fT7RoLJ0e1jaFSsDIMIUGMKVHAIxjtXD/AAg+IE3j vw1MNQ8v+1tPdYrkopAlVh8kmMYBbDAgd1JwAQB6BAJlt4luJI5JwgEjxoUVmxyQpJIGe2Tj 1NAEleP/ALQPhO81zwva61Zvu/sbzHmgCFmeOQoGYEf3doJzxt3HI24PsFFAHlfhD4q+ELD4 W6dcXOqRxz6bZR201kxUXDyRoq4SPOWDHBDDjB5K4bHP+M/CPivxr8GtE1DU7KS48VWLyXEs bKElaBy2VWNAF37RCduA3ykfeJB9c/4RPw3/AGj/AGj/AMI/pX27zfP+0/Yo/M8zO7fuxndn nPXNbFAHj9r8a9CuvhrPKdc8jxNDpTFkmtyGa6C7AVAUo2ZCGAH8JyQAGxyGl+FPEHw/+CHi fW7i5n03UtR+xtFFCzRzW6LMBlmBBVmEhyvYcHkkD3e8s4Drg1L/AIR+C6urW0YxX22Lzy3O IYi3IyC+SzKo3rjOW2yWz6b4s8NWtxPZR3Gn6jbxXAt7uJXBVgHUMpyMjg9+RQB4IJ/g/r2h wz+JbT/hG9fuYke4isIbhBF0KtGgQxhXQKw+U8P1J+au3/Z5+2f8K1k+0+f5P9oS/ZfNzt8v amdmf4d+/pxu3d816JqXhrQdZuFuNU0TTb6dUCLJdWqSsFyTgFgTjJJx7mtCCCG1t4re3ijh giQJHHGoVUUDAAA4AA4xQBJXger6lpHg79pS91rxOskFpPZLJY3CguEYxLFvZUJOPkmTGDyQ cY+Ye+VT1LSdN1m3W31TT7S+gVw6x3UKyqGwRkBgRnBIz7mgDxv4baTceN/iZqnxNuoZ7SxW Vo9MQxhRcDYYctkn7qAA44Lk4PykV7hRRQAUUUUAFFFFABRRRQAVTsNNh057wwNJsurg3BjJ GyNmVQwQAcBmBc+rO571cooAKKKKACiiigAooooA8PtJ/GOj/tAaFomueKp9UtZ7SSVREv2e ORPKmxvhT5dwdTzzwFOewk+Pq69o1vY+I9L8TalYwM8di1jazPEpbEr+aSrAZwAuMdhz2qvq 7w2f7VekTT6tHKktvgRvIALVmgkRYeTwWbDgcZMo45ydj9ofUobX4fW9ky2jz3l6gRZQDIiq GZnj5yCDtUn0kI/ioAxxoHi/Vvha/i3UvGms2N5Do6z2lpZzskYjiQsGlIcmR5VAYsSCpfnI AUd58J/GNx428DQ399zf28rWt04QIsjqAQwAPdWXPT5t2ABisuHVtNuf2fSkGoWkrjw41qVS ZWImWzLNHwfvhQSV6gAmsP8AZxv7P/hDdQ077XB9u/tCSf7N5g8zy/LiXft67c8Z6ZoA9orx /wDaO/5J5p//AGFY/wD0VLXrhhVrhJyZN6IyACRguGIJyucE/KMEjI5xjJz43+0df2f/AAhu n6d9rg+3f2hHP9m8weZ5flyrv29dueM9M0AdBP4s/wCEK+BGj6zGkEl0mlWcdtDM+0SSNGgH u2Blio5IU8jqOT8JfDKbx14Yi8W+JNd1n/hIr5Gksp2Yp9ixJuidF4OMgsACq7ZPlAOGqx4k 0VvHH7PeiQ6DPHfXel29pK9valZWZ0gCvEcHhwshbbyeAMZIrY+G3xL8OL8MtNOsa3ptnd6d bm3mt2k2PtiGEKoTuclAp+XOSSBzwACP4WePbyeXWvCviq9gfUvD/mBr5nOJoY2KO7swA+Qh fmJBYMCRkMTh+CotS+M+qatrfiW4u4/DMTi2g0a3uWSCVh82H2sCxTKNuIG5mGCAu2qfw08K 3Hi/VvHXicefY6Zr0V5Z2TzQglxPISz4Dc7MKDjgkkBvlNaHwi1iz+H8/iDwR4ovLHTr60ux dJNNchY51dEHyscAcBGAJ3EP90bTQBJpmsal8M/ipp/gafVZL3w3qKRG0a+Zpp7fKNGiKygB QZUAxgqFwflJY1gfGu21LwPqlrf6L4n8QRPrdxc3FzH9vZUVl8sKEC4wArBRnPCqO1X9QEPx M+P+l3mgSST6ZoKQm8vkQNFuikeQBTkbgzEICOuGYAqMmx+0JqU2jaz4I1S3WNp7K4nuI1kB KlkaBgDgg4yPUUASeKPhl4g07wveeK/+E21VvFVtaPNeTLcskLRAtI8MW0BkUdVH3SV+6ufl 7D4Q+Orjxz4SebUTB/adlL5Fx5bAGQbQVlKD7u7kehKNjHQHjnxt4fn+EutapZ6lBd2t3aPZ wmCRSxllTCoVJBDAOGZT8wUE44rn/wBnvwxcaP4SvdXvIJ4JtVlQxLJgB4EX5HA6jJd+vUBS Bg5IB7BRRRQAUUUUAFFFFABRUYE32h2aSMwFFCIEIYNk7iWzggjbgYGMHk54koAKKKKAK97N cQQK9ra/aZDLGhTzAmEZ1Dvk/wB1SzY77cDk1YoooAKKKKACiiigD5//AObvP8/8+FfQFfP+ lf8AE7/avvb3Tv31vY+Z9of7uzZbCBuDgnEhC8Z9enNfQFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABXL/ELxZ/whXgu+1mNIJLpNsdtDM+0SSMQB7tgZYqOSFPI6jq K8f+K3gzxV418ZaFZW8U8nhWPyjdmK4ij8tzIwkfaxyzCPGODjJwOTkA4TwrBffCHx54ZbUb 27i0vXrKN75ZYPJSN3DDy33nGYmKFm4IDHgZwfpcTwtcPbrLGZ0RXeMMNyqxIUkdQCVYA99p 9K4f4qeBm8eeH4tPtYo01CB/PtbyUqscZyqtG5wXwysSAoxmMZIwAbnw1tfF1n4SWLxncebq QlIjDOjukIVVUOy8M2QzZyxO4ZOcgAHYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFRziZreVbeSOOcoRG8iF1VscEqCCRntkZ9RUlFAEcAmW3iW4kjknCASPGhR WbHJCkkgZ7ZOPU1JRRQAVXv7G31PTrmwvI/MtbqJ4Zk3EbkYEMMjkZBPSrFFAHm9j8CvANpZ xwTaXPeyLnM893IHfJJ5CMq8dOAOnrzWxqvwt8G639i/tHRvO+w2kdlb/wClTLshTO1eHGcZ PJyfeuwooA4sfCbwOujPpK6DGLN7hbl1E8u5pFUqpL7txADNhc4G4nGTUmifC3wb4c1iDVtJ 0b7PfQbvLl+1TPt3KVPDOQeCRyK7CigArj9b+Fvg3xHrE+rato32i+n2+ZL9qmTdtUKOFcAc ADgV2FFAHP8AhjwT4d8Hfav7A0/7H9q2ed++kk3bc7fvscY3N09ajvfh/wCENR1SPUrvw5ps t2jyOXMCgSM/3jIo4kPfLg4PIwa6SigCOCCG1t4re3ijhgiQJHHGoVUUDAAA4AA4xWfqXhrQ dZuFuNU0TTb6dUCLJdWqSsFyTgFgTjJJx7mtSigCnpuk6bo1u1vpen2ljAzl2jtYViUtgDJC gDOABn2FfPnxf+Iml3Hj7QP7PhnuJvDGoO9yHHlpK6vESityeDGyklfcZFfR9FAHnfhzwV8N /FNvZ+LtN8N2hS6QsiSRlY1IBjZTBny8ggjhSMjcCeteiUUUAFFFFABRRRQAUUUUAFFFFAEY hVbh5wZN7oqEGRiuFJIwucA/MckDJ4znAxJRRQAUUUUAFFFFABWH4wk1+Lwnft4Xhjm1ooq2 yuVABLAM3zELkKWIzxkDg9DuUUAeZ/Cn4aTeEUn13XJ5LjxJqKH7QTKXEKswYqTn53LAFm55 GBxkt6ZRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFRzQrOgRzIAHV/kkZDlWDDlSDjI5HQj IOQSKkoAKKKKACiiigAooooAKKKKACiiigAoqOOCGF5niijR5n3ysqgF22hct6naqjJ7ADtU lABRRRQAUUUUAFFFFABRRRQAUUVHHCsTzOpkJlfe26RmAO0L8oJwowo4GBnJ6kkgElFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUARwQrbW8UCGQpGgR TJIzsQBjlmJLH3JJPepKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqOaNpUCpNJC Q6tuQKSQGBK/MCMEDB74JwQcESUUAFFFFABRXJ+BvEupeIk1qPUbe0V9K1ObTvPtyyido25b y2zsG0p/G2Tu6cZ6ygAooooAKKKKACiiigAooooAKKKKAP/Z --------------040802070505010706090306--