Delivered-To: daveyxm@virginmedia.com Received: by 10.50.142.105 with SMTP id rv9csp287897igb; Tue, 17 Jun 2014 12:42:36 -0700 (PDT) X-Received: by 10.194.110.10 with SMTP id hw10mr16775943wjb.81.1403034155678; Tue, 17 Jun 2014 12:42:35 -0700 (PDT) Return-Path: Received: from post.thorcom.com (post.thorcom.com. [195.171.43.25]) by mx.google.com with ESMTP id g13si324292wiv.43.2014.06.17.12.42.35 for ; Tue, 17 Jun 2014 12:42:35 -0700 (PDT) Received-SPF: none (google.com: owner-rsgb_lf_group@blacksheep.org does not designate permitted sender hosts) client-ip=195.171.43.25; Authentication-Results: mx.google.com; spf=neutral (google.com: owner-rsgb_lf_group@blacksheep.org does not designate permitted sender hosts) smtp.mail=owner-rsgb_lf_group@blacksheep.org Received: from majordom by post.thorcom.com with local (Exim 4.14) id 1Wwyly-0006ot-7O for rs_out_1@blacksheep.org; Tue, 17 Jun 2014 20:10:22 +0100 Received: from [195.171.43.32] (helo=relay1.thorcom.net) by post.thorcom.com with esmtp (Exim 4.14) id 1Wwylx-0006ok-J5 for rsgb_lf_group@blacksheep.org; Tue, 17 Jun 2014 20:10:21 +0100 Received: from mout2.freenet.de ([195.4.92.92]) by relay1.thorcom.net with esmtps (TLSv1.2:DHE-RSA-AES256-GCM-SHA384:256) (Exim 4.82) (envelope-from ) id 1Wwylv-00044i-Bu for rsgb_lf_group@blacksheep.org; Tue, 17 Jun 2014 20:10:20 +0100 Received: from [195.4.92.142] (helo=mjail2.freenet.de) by mout2.freenet.de with esmtpa (ID dl4yhf@freenet.de) (port 25) (Exim 4.82 #1) id 1Wwylu-0002XR-4h for rsgb_lf_group@blacksheep.org; Tue, 17 Jun 2014 21:10:18 +0200 Received: from localhost ([::1]:42679 helo=mjail2.freenet.de) by mjail2.freenet.de with esmtpa (ID dl4yhf@freenet.de) (Exim 4.82 #1) id 1Wwylt-0004fw-RQ for rsgb_lf_group@blacksheep.org; Tue, 17 Jun 2014 21:10:18 +0200 Received: from mx16.freenet.de ([195.4.92.26]:52785) by mjail2.freenet.de with esmtpa (ID dl4yhf@freenet.de) (Exim 4.82 #1) id 1Wwyjj-0003IA-6E for rsgb_lf_group@blacksheep.org; Tue, 17 Jun 2014 21:08:03 +0200 Received: from blfd-4d088f6e.pool.mediaways.net ([77.8.143.110]:4458 helo=[192.168.178.21]) by mx16.freenet.de with esmtpsa (ID dl4yhf@freenet.de) (TLSv1:DHE-RSA-CAMELLIA256-SHA:256) (port 465) (Exim 4.82 #1) id 1Wwyji-00010h-Bn for rsgb_lf_group@blacksheep.org; Tue, 17 Jun 2014 21:08:03 +0200 Message-ID: <53A09221.8070502@freenet.de> Date: Tue, 17 Jun 2014 21:08:17 +0200 From: wolf_dl4yhf User-Agent: Mozilla/5.0 (Windows NT 5.1; rv:17.0) Gecko/20130620 Thunderbird/17.0.7 MIME-Version: 1.0 To: rsgb_lf_group@blacksheep.org References: <539E5418.3030604@virginbroadband.com.au> <539F22CD.2000107@freenet.de> <539F7B13.5090502@virginbroadband.com.au> In-Reply-To: <539F7B13.5090502@virginbroadband.com.au> X-Originated-At: 77.8.143.110!4458 X-Spam-Score: 0.3 (/) X-Spam-Report: Spam detection software, running on the system "relay1.thorcom.net", has identified this incoming email as possible spam. The original message has been attached to this so you can view it (if it isn't spam) or label similar future email. If you have any questions, see the administrator of that system for details. Content preview: Hi Edgar, Similar results here, not too spectacular for such a strong signal. The signal was very narrow-band filtered so perhaps the reassigned spectrogram looks poorer than it should be (if there was sufficient 'background noise'). [...] Content analysis details: (0.3 points, 5.0 required) pts rule name description ---- ---------------------- -------------------------------------------------- -0.0 RCVD_IN_DNSWL_NONE RBL: Sender listed at http://www.dnswl.org/, no trust [195.4.92.92 listed in list.dnswl.org] 0.0 FREEMAIL_FROM Sender email is commonly abused enduser mail provider (dl4yhf[at]freenet.de) -1.0 RP_MATCHES_RCVD Envelope sender domain matches handover relay domain 0.0 HTML_MESSAGE BODY: HTML included in message 1.0 HTML_IMAGE_ONLY_16 BODY: HTML: images with 1200-1600 bytes of words 0.0 DC_PNG_UNO_LARGO Message contains a single large inline gif 0.1 DC_IMAGE_SPAM_TEXT Possible Image-only spam with little text 0.1 DC_IMAGE_SPAM_HTML Possible Image-only spam X-Scan-Signature: 29168ad3cbe6e84866aad11301f49cdd Subject: Re: LF: An experiment Content-Type: multipart/alternative; boundary="------------010809020605050503080605" X-Spam-Checker-Version: SpamAssassin 2.63 (2004-01-11) on post.thorcom.com X-Spam-Level: X-Spam-Status: No, hits=0.3 required=5.0 tests=UPPERCASE_25_50 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 This is a multi-part message in MIME format. --------------010809020605050503080605 Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit Hi Edgar, Similar results here, not too spectacular for such a strong signal. The signal was very narrow-band filtered so perhaps the reassigned spectrogram looks poorer than it should be (if there was sufficient 'background noise'). Anyway zooming into the frequency axis shows good frequency resolution.. .. especially considering that the FFT frequency bin width was 62 Hz, the read out resolution is much better (almost 1 Hz). FFT parameters used for the above analysis: Hann window, 128 point FFT. Effect of FFT settings with fs= 8.00000 kHz: Width of one FFT-bin: 62.5000 Hz Equiv. noise bandwidth: 93.7500 Hz Max freq range: 0.00000 Hz .. 4.00000 kHz FFT window time (length): 0.016 s FFT window overlap: 75.0 % I adjusted the contrast and brightness so that the residual noise (or is it 'filter ringing') also leaves a trace on the spectrogram. There was a short "pop" audible in the recording, visible in the center dot of the "s" at the bottom which shows that the time resolution is also ok. Cheers, Wolf . --------------010809020605050503080605 Content-Type: multipart/related; boundary="------------080006090303010305000505" --------------080006090303010305000505 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: 7bit Hi Edgar,

Similar results here, not too spectacular for such a strong signal. The signal was very narrow-band filtered so perhaps the reassigned spectrogram looks poorer than it should be (if there was sufficient 'background noise').

Anyway zooming into the frequency axis shows good frequency resolution..



.. especially considering that the FFT frequency bin width was 62 Hz, the read out resolution is much better (almost 1 Hz).

FFT parameters used for the above analysis: Hann window, 128 point FFT.

Effect of FFT settings with fs= 8.00000 kHz:
Width of one FFT-bin: 62.5000 Hz
Equiv. noise bandwidth: 93.7500 Hz
Max freq range: 0.00000 Hz .. 4.00000 kHz
FFT window time (length): 0.016 s
FFT window overlap: 75.0 %

I adjusted the contrast and brightness so that the residual noise (or is it 'filter ringing') also leaves a trace on the spectrogram.

There was a short "pop" audible in the recording, visible in the center dot of the "s" at the bottom which shows that the time resolution is also ok.


Cheers,
   Wolf .


--------------080006090303010305000505 Content-Type: image/png; name="gfegdifa.png" Content-Transfer-Encoding: base64 Content-ID: Content-Disposition: inline; filename="gfegdifa.png" iVBORw0KGgoAAAANSUhEUgAAAqgAAAGVCAIAAAC91pTlAAAgAElEQVR4nO3dTYgdVd7H8WnO mQQjBnoQCRJ5gkHBBpWH0JKQwcfIqIGGFnuTENKQFkmCdtKJMIsshggSJItxo6ibrAK6ECEB CQgKQRBBF9koiCMjgRAUnAHxjRnU8yzO7eq6davqnqo6r1XfD0Fip/ve6u5763de/uecP0gA AOCLCuqFF174Q+ifAAAAA0LwAwAwIAQ/AAAD8ocKBD8AAD3kJ+AJfqDPFsVa6EsAYIrgR2DL 4mToSwCAASH4AQAYEIIfADAgO8Sp0JcQGMEPAMCAUNUPoJMHxenQlwCgAT8BT/ADAMLYQ9t0 HMEPAMCAEPwAAAwIwQ8AwIAQ/AAADAhV/QAADIifgCf4gZ4T4mjoSwBghOAHAGBACH4AAAaE 4AfQEnv2oR9uFc/NitXQV+EPwQ8Mx2zoCwAQXlVVv5/yfoIf/SHEkdCXAKDSmS3PhL6EWDjN dYIf/bdZPBv6EgA0Nqix/QKCH0BX80z2A+kg+AEAGBCCHwAwCKeYmJNSEvwAAAwKe/UDADAg fgKe4AcAIAoEPwCg585vPxT6EiJC8AMAMCAEPwAAA0LwAwAGalmcDH0JAVDVDwAYlh3iVOhL CMlPwBP8AABEgeAHYvHosHshgGsHxMn85n0r4kTAiwmI4EcYB8RJTnYB4E3NdP7QWgAEPwAA A+I016cWCRL8AAB/FsVa6EsIz2lV/+TjFD5C8AMA4JWVgK8J/vomBcEPAAhgaPP6ea6Dv/4T CH4AgHOr4rnJDz4sTj08yKU0BD+ANoa55Rl6YL9Yu0OcHPLqWafBPxXBD6RqmF0l9MCqeG5/ WYnfnYOp+yP4ERj5AcCzo2I1/79D6/273qu//mEJfgCAQ08Nph9vzlbAV6V+/UcIfgCAWxfm F0JfQlwIfgRwa1mFLZI2tMFSpKt0Lr8w+N9vBD8ACwZ130S6Bn4gr+Y0+BVz/AAARMV18Ncj +AEA8Kqqqr8dgh8AkJ5BFam46MdnpjYFCP7hmhenQ18CgEE4s+WZ0JcQF8/BT3EfAAAhuQ7+ +ukAgh8AAK9cB3/9JxD8AAB4RfADADAgturz2yH4MQgW9wxh00MAHfkJeIIfABC10rN6e8l1 tNcPJBD8kJLFNtPQywc8OCWeDX0JnrhO/fqPEPzoLbYEB5Jz3zD2FyH4AQAYkCiCn5FMAAD8 cF3Vzxw/MBQHxMnQlwAUXT08F/oSomMr4Nsh+DEU9/Zr7nBxMPXP6IvbQl9ARAh+AI3dQece iNXD0yqLCX6E91R/u49HxWroSwCSNuvzydIdypoa9nkEPxC12Ymmw+RHAMAcwQ/ADjZiQmyG sydPQf0AAHv1A67YHefv8YQIEImBNF79BDzBj0Hr3gIg9QFUaTTBLwl+wJ2m78aE/HXTsckP sksxENbZ2RWTTyP4AYd6nP1AL9WMrkW+k79h6kuCH0EQh60x5g+Yu7j3saZfMh93ups4t225 /hMIfsCTyLsLVrBvARCQ4bbZVPUD1tyZ645bj0C7m/4Ksc/iowFx+vT4DlsP9eD4GzD+dvyj 1QOrfgKe4MeYofULO05txDa8v8x+vegv85nyqJydXcm6+1P7/QQ/YN+iWKOOAUjUZHAmN/Ff P81P8AOw5uWdB0JfAlCw09YDnRLPrornbD2aXY0OxSb4AR9KF76bK0zw3xnZ4D/Qe2lNAdTP xxH8QOzyZUT3idONmvae7RGnOzZxgOBq3mIPi1PRdvrNVVX1+ynvJ/iBOqU9+/jLiYEYXFrY 3e4LJyfI9R7+hTr5yN+Jr84tVZ0y7DTXHQX/to4/DkRoT9xvoSqlC2biLOsT4s+hLwHw6vz2 Q+2+sPAW3iNOVyVoDGqW7VVJMfiB2PVgMLC1FnulAbFZFieXxckD4uQBcTK29bSTpm7VV0Dw AzY9KE7bHb1g0fxUDGag1D//9icrj1Mo64twmr9p3Q/BjyjE9kbqIvKZv+7qR1CfEmtN+x9A bFpPE0RlRZwo/TjBD6ABk10XWxdVAbYI8YSVx0m6BVC1rwZ79QPpiXz8f2hbMsOx/xFirunX fPT0PV2e8uWdB85vP1Q1dpVN58U/vFf6ZvQT8AQ/NuyPvlImKqV3lgfF6R1Rrh3IUOKHmLAW bAzBD3hySjwb+hLGzAiHO+1cPdy4iwbUEGK+1dfdZvk6UvPGA09OfpDgRxRKX50902K5bWwa tV0o8UPS9ou1mvdsPPXIU0v69e5DeQQ/rGAkbYO3O0KoXY8MTyr78sztrq8EqPLL65u7fPmi WEtiUnJ/q0U0BD+QpBTOCZ19dW4p9DVgiD5/3nlXJKHNRifHU6nqB/xpmtYPVn9+1Qpdd/SA YaNJmW7r+v6nw9ciSbbW4KGgMCrgJ+AJfmyoPr0tsTIcD0P6/tPdLltbpwGaEIseniXmnfnb KayyIfjRSYtS2/hXvrrTqL7v3gH/oIDWbry4VV38o7enqxmWi8cbDzyZ3/wjseA/KlYL2yYj LfEfd9HQpoDP3b0JdYfZRkDnti23ft9dW72r3RcCBULsC30JRfHU9k/11iMbP73Egr+zxAaT gRr+N8hrsS3Pv/5+q4srAUoJsSylvLK0y8NzxVDf1+h4nrce2adnD53m+tQiwZbBP4Q13wOU 4LLvxpXD1fUNLXW/9eiBSj2pmbUkzs6unNu2fG7b8uSupS2mPz89viP/v/rWXIWj9jCVEAer /ilraArxv74uJxkr4oTOfqdV/ZOPU/gIc/xIVc3RHT474lbmFx8Wp+T6/v+nxLNZ66QQ+e88 vrfd4/uccM34qQJLX8i5KkfUuxt/7338tzhDaFU8ZyXga4K/vknRLPjz2ylw/Jdnpb20wd5b 2+4eKmUcw4P+sZkPbBGCzSE6uTC/4Dr46z+hGPy3TiuUyA/yC/EErwAPJkfV6odq6yU4nt+M xRJfk0X/q+K5PeK0h8ZEx6a2SVlWx3akfgoWgvdA61/ibxc2SSk/Pb5jIH2S1ssO4wp+E9kN qOOpi6hX+t4T4kjrB1wWJxvVocTMz9FzFqcMauZES11a2H1ladeVpV3vH7xf/6XjBajL8saL W7tcXuEFWdqSIPsDavoas/rUR7O/qw8CXEAK22iOcRr8U7Wc45+oFWqfRohNi4O3XcteYHqE aT0Fd4a7og3W+/oX9z6WzeW/f/D+7g+Y/ULVu/KHV25p/gAlk9ARLuuCf0IcEeKITn0hjqo3 w1xGQiv6MikFf/6IIV3662FDZsAuwz18DKcMVsVztk77fXnngfr1MkfF6nLjMZuNbXc/f36b EEt6MLZe7wuy4uD85tmxS1Y/clOYcFSXpZRSfSK/PHN7NvbgYYVI2JKd1mOorvfqr3/Yxj3+ R8UpvQwxGzasGT/Uuoz7BRy8ilzTn4z+rdUXoF5Z2hXzQk39LRdGm9xpdEM5JZ7teAPyU3uh PpRSyiY9s9nSj64P6dPvn6KQjo4mQbJfRKjBV/WelFKqzzqVHw2KrYCvSv36j9hczjcjjun/ 5ud7MvQh2rFVPvnGA096PKit6wql0vvXNy/d9uWZ22ObP57PVfbZmmjUQwhntjxT2K2vw9DC Trm+b7/6REop1WUpxHKLnIjt558Edx2YRhNz4/1vW8sIN+Un9b95iS3ajEQX/JuNby7Zccs/ vHJLadhn1l9wHPbVSeltun4wTc9+tV7/HY+Js73bT/DnZ6ws0ovvS7O//t0hy7YVyi7ywvzC 2dmVs7Mr1i87W2xNL80/1x2hqiad9edVH6//5SspS96nPddiEb8WXfBPVXoDmtwhxKAz0bht yMh/XqPBgPwpcw9XTHJHeBKdEEfU21Jd/KP/cLIycz/bcF3AijjholJJb3sgxBN6VzX12eg2 rT4g9QfBZHFd4XNMvkSPHkkp1fVWl2VPcvV9ToNftZvjnxHHJz9YelKZerv875phTluM837s K1BolavPpLo2alnr5pT5zfqvm45lK990Xdj+aQtPuw0PtBnUqRq0UB+MbQFmyH/zJevl67tP oSpw6hBadsHOFluO5un1zznrk+mbtfpw4/bdwtRpfv2W7Mcbszs9UeK65G3qCJMV6pqUUqpv 71Y3R2Ve6uIfQ/2ik9uVy3Xw12vW48+yPz9brMs6sr8HWcTZS+orqb6Q6gsp5Wg6Vn1YnoX1 w3f5nqvh0Xxt98XrtL5O9zB0m0Z9sjGEmNZiUb30P/KDj7PxOXVzq/r2bimluibVZ0GvqUey 8KvYbTNrKnWc+iyfpJ98v9gdKB3dlz6TUkr1779sfHyi4+dNcqkvq6v623Eb/FWye3T2v1kf wl0DMLdipFOXQt3cqv9Yu7LO1NdSfS2llOrny+rH19T3J9S//6K+e2jjE8zeY2e2PJM/CDI+ 2wptBX1D0T2J3Nr9I+ozqT6R6gOpLlvYdt7RkMAecbpLcV/rLcDaGRur++4hfQfXDc2ynSIH sQubFaPxuU+k+liqD6V6T6rLUk9X6U0UrHf3s2Z6fbXmeFVm+WKNetl9SUqp70sb/9R8ZK4f Wp9y7qIfn2d5OV+mMCCczRqOfeSL4gdr+JxrVDe3KvV7+Z+gjQB1XarrUv36k/rPP9R//lH8 12/vVjdmRn8vyT8LZbreFssVqK8nXj/f3q1ublXXxz6ub14ezpmtKoOYal6cjrBUIk/nuhDL 6t2x8Tn1/Qn142tSd+m+2rjFlz1CzK3JMEY/tC+KH8/f1oRY9Fn0rjtgeixH34rV12N99BqF pp6+L0kp9X1J/Xx57FniGOX13+9vnfoyxeK+zNXDxZUk6rpUN7fm+6ZSrr/gDKo/WgxJTf2S rENfCPvKzw8U/6PI//2/6tefdMs6G+rP+hC6OZ/9JE0KaNudQvv+wfuvrd5V8wnZ7UyIxXwM qBsz+R94/bOoGzOj7zrrRuRGOOq/tv7IGSvb9Xe8j+wwazp47uhP0nP8epRF6l+Bvrmr30e/ nevtS7dcDBWom1vVj6+N/vx8efTH9rhd1sKe8mlfj/eDx4fo1M2t6saM+jqbsFuU64sqXcje lbpJV9X7N/+1jt6h6vfRfenXnzb+af2mFIk94rStfbT8SDj45cTOfXopv5RS/fsvo7fles91 9FK7MZO9o+ozu/W8VF1v/tu7y56oZCFsFv9tnuvH1xpfs4789VttplBlqef4pTQaRzm3bbnj sS7//Nuf/vX3W4v7c5V2I65L9f0JdWOm8iefa06N7oY3ZqSU6vf/ZveUwgiH7kmod0fDpFkr x89p8e0aTNqD4nTT/fVaDzBYMWpQZr/QUXd/5+i3o//U/2YnftHVz2X6vp5srDf+Y9Aa0C9F 0we8PpaaSv0+eunqIbqfL8vqtk5WnyulvLZ612SvyRb19vh9+PsTG7fiX38apXj+15pr4hS/ 39//q37/r8zu3rkOCTpKJvir7mVTd+6TUm684AovrFw7QEopxEH9J/+RyUeb/GDxBmGp4V8V 5Pmnq/yq6kGF8s8f/RxG09418aan09RnUoglFyOHhV/oL69vVm9KdbmyclP9+tPGb3a8x69/ EaNB+9KbeK7Tnw2WlvYkhDiYfbO6mLHLPvaOlvJndHHfnYF786V77JtuvzNqz623182ftUGO Gvwxf96SK7H9LOXtgK/HX72Tc/zvSvX2qAgp/w5ycbL5WNlmxchrvg9WTH3dfC/8Cb1Ur5ec Br9yN8ef98Mrt6iLf9TZUPz28q+2/IupXXM+6ylO3Fy6fxdVWt8ppn7m6LtoclcdfeHbUsqQ 42zq+xOjIdZsOGf8JmKuaklC6ZIkP4fKW+l/HzBbPBnQZFWNhzobvY5A/6n5NM/lhN2qFoy2 3M9GrXTD3dZRWKULcPJR3bTWavzBKeqs03r3Hul+r/56JcHf8a6nPpTq442h4Lym60wK/1oM +1Yx499kW0H9+Fp9A8Jo64w3pZRSfZifMhyr1L2ytKtpv/bs7Iq+i5We4TZqrq1XgMsm1RsW hSo/bEHX/oQdxp9keDf3sCC7N/txmaf4aAOl9bMSLswvWHzeUcNiPeP1fbhMb3dQbTeSd2F+ 4dy25fPbD53btuznyAwZ2zp+w4PLpJTrI9JtNu7uXsTn9Jbh6Fxa6+MT+Q5Ewcs7D3R8cPWm VO+uV359UazxLmvVNd0KNOo9ve2mtZViQz+o2G/H/PWvW+p2t7bNGnPZZgzqQzkjjmWT/VYe vMmXpHGgw+RxGI102XHLdbTbGepvuvOoZxPNgl5tE1YzAKs7EPUV+B2ed+wNPyOOFSrAQ7my tKvjI0Q1Ah+2WVC78tvm+8jqBp1pt07y4/NdhovXH22fHD8dZ3LK1c9efuvPFWaCoOkynDNb nrmytOvK0q4vz9x+9fBcVm7p6ZxMx6lf/xGbp/O1s76qOK5Bv7Zb1wVw48Wthf18XBytq94t uZt4NplDrUdK60e2upT0Z+4Vp+8Ua3fU9glCRX791nIun7fl2zyVHmRB1QbbejGU3cpcIRaz cxdlboGVlU6/bN8K7LSbZwsmPfhT4tkrS7suLewuZHwW/12GAQzFGPwp7oDYhaOxfW8Kiyql lFcPz7V77b7xwJOFrZl+u7CpcHw7x7q0YLisP6D6X2sM0RvDNUxleNjxR0/fk/3dygJ03ahS b1ru3BtXhEzWb/lYdluqvln/zuN7Ly3szqoB9Oy+/uPj4tbFGPwGxurIWiSBlS7+tNrAXg34 18s6/dmRPN3deHFraZWfN9ktbPIF1vHbrGkVxVaL50hsY2xyYG9Yu13hL8/c7m37vMKbUYij TU8OC+Xi3sfeemRfNp43eRPQG5zrdcJT6wS7bNsn3Vf1N5vjz+bybZ2Mogea8o1Q160Ei7eP sFOJTb+RX17frFcGd697v3p4bnIUQdN7CpWe34iYWTmI3Wmfe1o7/gnXF9BRvo9rcv+8srSr 6l1mbOzLf7tgYdNuc3GenrVHnC7N7AvzC6viuamDK7rf32WPEEO2Ar4da3P8PotHhqBF8+XK 0q4bL27tfCspvZjRL7eXeV+Y2Dqz5Zkma1umuzW1k8Lz/BdqsXbcTOAleaWpH0mn/2Fx6ty2 5UWx9pRYOyBOXphfuLj3saO269M7Tg1EF/yt71P5KpIZcVz/KXxOJK8MdyLpkXR8UZrUNpb+ fq1z16C0m+5wwaQREE9DocvNrcvCMCmletfo5Crrt9+Y+3tnZ1fObVtusbA5u3laKfKtEl3w wzV3Q2RxH8KbgIFM8MejsEV3ky/syUu9+6b9U6f2bBX2J+RRcepRcar1qt3z2w9NXTPcta2W bvAHrNtMTtn2qNl58zZrmi7ML3TfvWdSk3tHp0VKHfsQ5hU3Po/FS+7OG2Hpn2tBxuosluL6 McAXhiMJB7829aUQ5K5nkqZWyp1qH39R+nur+F4vG1zH9k1VYb/nvX1CH+Qz4rNQa/IdYXVv H6P8rp8gCDGc0Kk0x+SktC4GtuDCh+j26pdSbk7qYOM4Vd1Z4iyFrVJ6R46mxK/TvbK0x+/0 1L4k3lZ+qnC67MDtrmuef+SEhjML22y4M6jufvdjzev5Cfhmwd9azVqv7oE39WXXolk62bT3 s5lP6e01njKlpuzW+HTcYzyhjfGHrOLE7QZv4Xb98tyuhVPebjFkf5x7qaXVe4lTr4I/TmV3 k02lp5U3eYTsn0puH4adkqQXemm2DgIBNPNgjlCQVUsuVvBCW3V2iyb4k9Ru0ivfUs7fI7J7 nBCLre53g5vgd8RnxR88i3Oi+tW5pcIm2Y10P7AKVep3Pe94r4g0+BkvjWGgLyEpjv6xeC91 2XZ+Lif+J2cDnTzX/MQt9z5xWtZVmwbew2cIqhZIvzrXtREZafA353W3SENN2vidrn9akXDl AGA205niwGaBjTIOr/uBOC3lQ0CTJ0qP/6v9rr/TwreaRaq/vL7Z8EHGhxtjHPwYlBir+mVE ldvxqnqrV3UIUuwTA30ixFJp5tV34oXYF+1+QflT/mDdmS3PrIgTLh7ZT8A3Dv68IVdvmQzr 1XwOLWtDofb+ZFIfHQmxlNA6t4r1RFFsND4oCQR/0qwe1te1ZLf3nX4hllvfBNtlv9P9tC3q /SkVwU1Nr+63gvWSgsXcR9Jr2SfUTOkxgj8go3l9/d7OTcYv5z+OqfhBwb+2C2QKD1I+wm+3 Iqe+etwpIRbp7tdztK0ywe/DtOwxrezTqU/vDYjZZDDb6u7bfcyOOJTLA0djimkEf28WPnUs 0ilEPoNmNQq3RRd3yVOdN8E9ty1YG+5W8RwltHb57LzGsAznh1duCX0JQ7Tc7Vw+raqq3095 /1B6/DI3PyfEPtbou6abRMG7RFPFuSUq4lQ2fdDpLEoT+lD5jofAToqh4TJkTnOd4N8w0QGd D3UlvcdACPyrPhYr9tantLEhDLw5v/1Q9weJN/iHvIoPPvV+sQMQITr9hrpPKU6KN/gBF/I9 MMokkSjPAwlvPPBk4SNddvhHI5M//O6iDv5Q26qgN8ZjvnAKO6mPWMS5N5/eVdrR5nEwlC+w 0JV91QcomIo6+AGLKnZLZZwfmMLd+bAwcVSs2n3ASPfqL+jHfD8DGMHNiOOxlf5xVA9S9Pnz 20JfAtrzE/Bdg7/XnC/IScfGj8LukuiJJRVxDfKzYz9is3m9oCxbNZ6f1L8wvxDgmgbP4pwL wQ8AmMLKvjFozW6lBcEPAJguPy3F0n+fsp+2lUX80nHw52sFSksHCH6EEdtoPxCQee2e3sjP 6cXAAz/BP/kXgh/lhJgLfQkA0GdOq/oJfsAU5f2ITaHsNDuO76On7wlxObDGSsBPzf664H+0 LyfvAQDgwss7D9ia4JdeivtqBhLqevz3cnAZAGDwrK/49RD8NRjqRwG7ggCAWwQ/AKCotNT/ ncf3Xlna5f9ioNmaGXea60bL+RjSR2/wYkaPcVpPb1DVDwDAgFgJ+E7Bz7lPgAd2jz/AkJ3b xv5XaXMa/MpkOV/onwAAAAPiOvhV6+V8AAA//rqpD0ef99h+sWZxzxsPwV+jLviFWLT1TQIA AC3e4AcAANY5repX4+P8DPWjb6zvqAUArtkK+KrUr/8IwQ8AUZgRx/P/WzqjfFSsUg3QAwQ/ MBSs6AMgCX4AAAbFafAr5vgBIH5PUa0yJK6Dvx7BDwCAV1VV/e0Q/AAARM1FP95y8HPiGQAA tiQQ/AAAwBaCH0OwKfQFAEAsCH4AAAaE4AeGSIil0JcAIAxb9fkEPwAACXCa61137tth7/hh AAAg3Qd//VgCPX5ghK3TAPjhOvir/kLwAwAQgNPgn2wBFBD8AAB45Sfv6fEDABAFp1X9zPED ABAXKwFfE/z1HyH4AWC41K8/hb6EIXIa/FMR/AAwdMS/Z05zPT+1Xzp9QPADAOCV6+CvKusj +AEACMB18Bf+S/ADQOxWxInQlwCHXFf1Z38h+AEACM9KwNcEP0P9AABExGnwT0XwAwDgFcEP AMCAEPyAHQ+K06EvAQCmI/gBABgQp1X9jYN/nj4TAAAu+Ql40+AHAABOEfwAAAwIwQ8AkA+L U6EvAZ6ED/7/AwAAw0DwAwAwIAz1AwDCGOzeG+GH+kP/BAAAGBCCHwCAASH4nRDiaOhLAACg RFw79wEAAKf8BDzBDwCI1KJYC30JXhH8AAAMCMEPAMCAEPwAAAwIwR+jGXEs9CUAwFDsGdhO PlT1x8Vi5J/ffsjWQwEAesNPwBP8AABEgeAHAGBACH4AAAaE4LeGbXoBKeX+ge2FAiSH4AcA YECo6gcABPPgwJbSxcBPwBP8AIAxRH4oBD+klPIOcTL0JQAAfCD4AQAYEIIfAIABIfgBABiQ qqp+P+X9BD/QH4+KU6EvAcB0TnOd4AcAIC4EP0rcyeZr6ODMlmdCXwJSssgNxy+CHwCAASH4 AQAYEIIfAIABYa9+AAAGxE/AE/wAAESB4I/UfRxfAaC/ljkfJByCHxtWxInQlwAgRjvYnalH CH47NotnQ18CACRpngFOvwh+AAAGhKp+AAAGxE/AE/yoJMRy6EsAgAEh+G3aL9ay/7Zwq3iu 9O/9Q9gDQCgEf0RYwmfdvbU/0n63rmAL7VT0DMEPwDKWaGOqh1kfGI7TXJ9aJEjwAwDgldOq /snHKXyE4I/IUbEa+hIADNSMOBb6EgbESsDXBH99k6LPwT8jjoe+BACwr750BvFzHfz1n9Dn 4AcAIEIEPwAAA+I0+Kci+GO0yiI3AOgvgh8tca4GAKTI9V799Q9L8AMA4JWtgK9K/fqP9Db4 F9vu2otQ7uRXBgxJ673Ve4Dgt+apAb+MYsZGyACQR/ADADAgToNfMccP/+jiA5HjfKywXAd/ vR4Gf9Kp8yjHZgAIYU/Kd87kVFX1tzP04E869ZPA3SFaQy6VQg8MqkjLRT8+M7Up0LfgH6wg a/ppBABAC56Dn+I+oJ/Y8BFIhevgr58O6G3wM+YPAIiT6+Cv/4TeBn+KqOwDgCEg+K15MNle PuMTQMGMOB76Evqs0d6mHAtina36/HZ6FfxobUYcs/6YTDkDCVkRJ0JfwoD4CXiCP3anxLOh LwEA4IPraK8fSCD4Y8RkPwD0mOvUr/8IwZ8q1tAD8IZpfrsIflcOiJOhLyEBNCAAwDOC36FZ sdrly32eEN+z/VazkgVqFwCgwHVV/3Dn+Juu7vMZ87ac2fJM6EsAkJ6/brK/kAfmbAV8O30O fmDIaBSiKcqKvSH4LbhTrC0zo99Ql2qdLFQe5k4B9BHVfE4R/CjRaCDOc9/u7OyKz6cDEArj Ro4Q/ACAeDmK/yFv7knw29G/gakIvyMG9sN6KsH6U6SrkPcs/bWIvfpRwuQIjciH3CkUAoBS fgJ+oMFPExWD1e2wytusXQeS9ZRY8znINKgVhgS/Q43Om5rsoQqxaPVyKvVpCFfPUBT2I4pw 2iI5rFuBLTWvpZ7tJBYtgj8K95UlU1qD1f6HN0zmGriPhHJx72OhLwF90KduSTwIfrd2GIe3 t/79pNZFs6Hek/XPO6ghO6A3dJn9olh7SgWn3tUAABobSURBVKyd334o/0/WK4oGPoJF8KMT kzLAeo0GNs7OrjRtbdAO8KD7ywBpSWs8EgVU9bvFCrRo3cvEf3ME/DB5vo9Nzhsy4G+Xn4Af bvD3WPBzh6sugHACrKMP0ycEPyyIeWdN6vsGS4gjoS8BKTna7SD1hBD8bsW/K2Sojvut0f9k APikjyZ/SqxFvjlYDxD8FgxtECxgHzr4/AKAUKgotIXgtyD+bn2NduvvC4ttmFbvt+EMgcKD wt0jjzU4flRV9fsp7+9J8Nfr0kot3dinT2a7JcrLOw/YuhKg72ZDX4CUHbpJ57Yt272SIXOa 6wS/kYAbyq6IE1Vvp1QG1Rn98+aNB558dW7J/PMbfbImxFzTL0Fy6s9xuDC/UPrxVO5ISSD4 0UaXfa9mhMPRvC7rfdnSHxp7PNRjai91BL9zJrNWQRqz9RO3TgfW8oUFd1j93qkHHp5NoS8A SAzB78N+sUYbuaP9E9t3D8+20BcgZa6uIv+SjnkjByvsNk+BsAj+YdG9/FPiWV1ik1ZxXOm4 yMAP2wCAptirvyuTUfqo1qhcWth9YX6haaFW0hhu6e6tR/b5eqrWAxtRjIigRlR3wiHzE/B9 Dn4Tumos+DkT8ew3YHHbPpPx/94PRIcV/IWNgbBVCxXPnTAUgt+TquzxvOvfpYXd+f9ttwff ijhh6XLsyEb72WcmFMrgYybE/7p42HYx/MYDT9b8a/1KP9denVsaSHUwwR9SqL1vXcyLM5ze V/k2a2xtPvRMfUdo8OW91hD8XRnOWu0Rp8/OrpwSz2YfyZLSTz81/9TSrLVe1T4oLQkM3lJm fw/XsgFS6/dfISIqN2FLKEfMbxEexkEH3oYg+P3Rr+anxJr+4/8Criztyv9vb6ZmswZKzd4D QztIKQZXD881KgkU4s/uLqavhDgY+hIsa3d6CBqhqt+rprvihO3FepuJMJkmqJmeWBRrUycv etPKCeLK0q5sZKvf6ycT+u6EWAx9CQ1GKwfew46Nn4DvbfA3ndju9zkTocZI09qNAG7c5voJ Brujs8VG81uP7OvYnaCWyAqC36tHxalC9hem3t2xNQcfqnLebrrr4cSwJcTmHFVlx0CIiJrC 3t6MXQgxX/HxI56vxJzFNy+lPFYQ/AFk2e9zO4vCQj4TpW/Xqjdex5Z49y1R+zqWGMPMd6G1 uixO6p/2YqBqlQkl2/VHVTCIeLCJkCT4O2pRh7JfrO0Xa2dnVwy74FYGGCN/re/wMkcQR0S1 tjP0BYwx6Hj9j4/rqGVQ+BbXT7U1s+6+k9mQ+mGSV+eWsh1CW/Q94IjTXJ9aJJh88Fs0I46H voQSSWyJ8/LOAy/vPFA/dzi1uiLsIq7SEe8Y+qzntx/66Ol7qv5Vx3/Nz1aIP189PGfyREI8 0eLyLAq+HjVdZ7Y8c27bsh4EenVu6dLC7jceeFL/yT7n/YP3h7vABt55fG+7iYngL+BGnFb1 Tz5O4SPJB3/rm0U+pe503xO1WFRYv/GWI946670sHdKzwq1vTEM408Hwewy141aESjv6Hsps +zqj55mVgK8J/vomRdrB3y6NzO8dm+MrNbKyx3WLjfqnbhiX+DB+kjqWWcVcjJaKqjGheH62 nx7f8dHT92SjPt1XS1LcZ4Xr4K//hLSDPyGFrXuGKZVbRjx37Xomfa8vz9zu4Uqmqp/sv7j3 MSnlpYXd+i8xE8Jo3iSUq4fnPnr6nhsvbv30+A79J/QVlbswvxD6EgIj+APYL9YeFafM95IL u+uceS8/lV0KEhqwdTRxaL6I7p9/+1P9J5jE/7XVu3JPfaT0745Mre/TFWdZHUPqe0IIcTTU U0+dxY/hTDyLlRz6TVR4geUWW0Z9SLTT4J9qI/h1U/HT4zuGMKGYmRen73O/lNxW8zaJVc5T pTKLn8RWrOe3H6qZZClM0ORbG/l86viddt/k4PPno75HT1VoxnkbMcoa+u88vrcwpvjyzgP5 ev60GJajJi188J/Z8sz7B+8/s+WZs7MrL+88cG31rtQb3XaFravXpXyGke8uU03uIFOn+etT CpOs3wF1JgXslcrxQZT3D97/zUu3pXjDKR0KKo38jjv76tZbVWf9jQeezM+P6OGffOrrFTdn Z1dsrSj28xau6Sx5bpGbNeMaL511vVd//cO+8MILf3jn8b2Fa/r8+W3xz8EcWN/DJH6tF9Jk k+KnxLM6+xuduVIl1MK5pEb4bU2amN4RXO+gd+PFrdYfs+PWRp8e3/HDK7dk/5tlW8SbXjS7 vwtx0OeK0KqZvlTuk13EcG5CI7YCvir16z/ywgsv/GHybfbq3FJ+UjBmCWVJukzOgLc4DZHQ MS0tZEkwtSdx9fCclbTOwjWfssHpqsOs13FmyzOGX9jvl0e/pVKEJISF/lX9g4cP/tKLK4wg oXULYwjN7aTMVv2DEEdcz85O9ksmn1GPIX96fMfkUFyN+vpTu/3Oqs3qp31VoQjrz+pNSxfk Q8mexIaE+HO7n1gj3rY/6j4vY/jCNt9nsPDytnWyhtPRmkiDX0r5+fPbrAwsu5BWq79jOzeb dnHaFPNQ5IhSk9mve8M/vHKL9crk3y5sUm/bfcg2bry4Vb0tWyw2i2R3vxiObwjIw7rcqfWe 8Rwu1W6Fp9PgVyZz/FVXpmMm2uzHpC4TH/VtKSstrTgHP1zODm6MLkxGhfpEqo+l+lCq96S6 LNWb8rcLm3545ZZvXrpNSqku/tHkCUwqrYR4Qr051uFW70r1ntE3UPZo7TNPd6H+9fdb2315 6zLbICFh5UkNZ9AirorYYPj27/K9uBuitz4c6Dr4601Zxx/J7h+l/FQC69NrurwWrRRmX9z7 mGELrB9FD+5XUoyqtCbvFI5G+9XXUn0t1VdSfSHVF1JdK/80HY3qspTGNaEVSzmK58Godycu 6UOpPjF5hq7ybY5fXt8spVTvVXbpdG+ypk8ZzxK1sd/pZ6GvJhH1W5npDoZ5DyHImlsrt4iq qv52LAf/W4/s++ff/tRortGDhMb5bfVxDVPfRe3Mijhh63SAQve0fsDQ6aYFtmYBp1LXR3+M PvmaVB9v9MW7bxJXePmpDyuetHloTf0BTj6melvqSf3Sy2gk4IYW6saMujFT+jtV16T6ZH0I Z6KZhaZuvLg14MFC+eWaZYU4eu+gxXZjDEI84aIfn9d+qD8TW/BnhrAovFBRb6Ur3GKvfjQ1 Sojf/zv68+tP6tef1H/+oX6+rH58TX1/Qv37L+q7h9TNrerGjPpaqi/GvrzR/HfVMM9k00Fd Kz7R6ONfSPWVVF+ZP6eUulmjfs//KT6Xnsv4YCMI9RiDi7WFrqmbW9XNraPvdOJ3WvL5b8vf LrQvCcyrb9D734+vxRx/0wHaduvJm76ASx7henEgZ9Se+3j0MlZvS3Xxj3pKrumI+NiDO079 +o8YBf+NF7dGm/1IS/0QSKFZozeVys4b9W8Uh/q9+u+/GH2JzvssC9d7h8Wh/s+Kw+zZoGWL G0pT6mupbsyob+9W3z2kvj+hfnxt45++e8hkfGLjG7y+Maqhvq79kq9GwwDZHL+9cZeNWYP6 LZbb1WmPRb7+/eZ/rV9JKeWoMffdQ+rbu/Nf22UJpfkSR/+8dbqmtoD1kJV+q0o5eqsajrFt PEj2C9Xtuf/8o7Q9J8TRQu//o6fvmbr6oPzBIw/+bJA5quyPZ56vxvnth64enouzom3SveL0 fKyF/Tr7sz9WHlOIuapFVuqT8gFwdV1u3PcLf8Y7vurGTO7rdlZcwJHS4j4r313GcCWI+vny +v3od5mbocjfQPP9++kPmA1pfHu3urk1exwrneBGFcfrmxWO2lWjltx1qb4/Mf5rKrGR9+p3 dbNylKIwxz+60a/3PnW1Zp807b5n79n6ofs9E/efwtuh0G4rFKmMXsC//jQakll/b9Zf28b7 9/f/jhqyX280YTcG58bbczL3ihJi/sL8QumCz5oHjz34pZTvPL5XD81Fkv2pHPJmSzaUZ2Vq M/g4vx63bPG9XD08pyslXbSl9KSd+mBsBnoUh3pEN3v3lv6Zdn+peNLKKiGLK7+bTpRuTE/o PxUj+S1kC/fHZ0aNmgJ6OmO/WNMlPobr+vI/4axTKPX3mP/16T59/k/2TxN3/Cp6TLj4kY+z /2u265/hN2iyuVaisp705ACYeleqD9b//v0J9eNr6ufLG4Nz18cnocpaACUjc4VPWB+c2/jI za359lwNowd3zMIcv8zNyUWS/f6dnV1J5XQZixzdVmrGMEvvd1+euT1bHKHj316/fyn7b74g Kz8AvnErMehAWLoqy6uSrq3edePFrT+8cotex6/vm7rDlB8pHbtvZt/y94WTfkr3qC82U4qT o++NlipMqNxPyaJs/GajGZcN3hRiPpf35pE/9lzjNQ1SSvVBp+VRtkprg2uxvunq4Tm9rvXG i1v/9fdbf7uwSb258UJS3z2kJ+AKCV1Q2VivHcXZ+PLJ9txn+fZcZlPxuWof3FZ9fjumwX9p YXdsA1be+v2RDICbd5HtbsX/xgNPWoz/plODV5Z25Tusbz2yTx86cvXwnN0lDNm2NtndRMo2 9W71TNZ2C7FPiPnIz33PtJ6n7zjBX78qLE/fo3WnUK434zzQVWC/vL75m5duU+/Ja6t3ZUcP T5XK/KCh0m/HoB81Kt2YbDIKsZzFaqM1Kerny7qpV/UJhZdldpzVZNKrD8YuTN+OzB/cT8B3 Df68tx7Z124LOVun2icxwS+lvHp4ztZmA9khPVP14Jbx6tzShfmFtx7Zl6+aOb/9kLudG3Sv Ql2X+k2bdYI9E+JgcmeNBGHyXhjN3XwopZTZoEXWjPOwh26Bblmat1e0Xu6f9tdNx8xXJ+lT Y9R76w24L0alqVJK9bGnjSg0PXBV0LpmxXW02xnql1JeWtidX4QT6vi+IEv4siZLv0f7J9cF RbJlwmRr5vz2Qx89fU/zTr9+l46NXY22lMlmf0sG8Wwq7fTHs/9oDAx7CPUdAHV5dJtW3z0k xyf4w5o6W5pK291wrzD9Js1GO1psupxNlOS3veq+G4S5GXEs+4uuw81rNxbuOvXrP9Ksx1/I /kaTT1ZG5rPcjSSQ4EHNfdDW/h6jCeD3vN5NNINdwOKaYuuufsVdjQfHJ91qFnplt2Y9T58P jIDFrbqJKWuXWuSHtcxPqem9b166Tb9sRhUq0zecblZKaSKLfyGOZL/KvEYbKqQU/No///an 7O8mo6/z4vQecTobnUu305zKmZIW9aawqMo3L92ml+VUlJ4hUvrNWJqg2eirujEzI47bGw1u Voc42aRrVN1m0qgNuINZo45c1t1vN5ihj4f44ZVbDA+w6Ci/DbAQB3XeZ6mf0R19IfYJ8b9T jxSafPCUgj9rgeazv16+kW5lP4pQE/wt9sD3c5pAUwlt5q9376n5hPPbD7U+ri07bEZ9Uhy7 c8HpEZ8xaHV4T/kOB13old9CHNQVfHriZvN4TcCMOJYVbblQ8+D1w8LZHcPKAR9OGUZ4zHsQ dddlsYbrqn5rc/xalv1ZG8e8H7xfrCWUOsOUTa9mnQm75+VY76N0Ge3/59/+5H9sXzY45MPC cGW+kLhdJUG09YZvPPDkl2duv7SwW8fkl2duHx1s+Nn6Jm4fSCnlHRV90yyeHR3LVK+mRsq8 +D8V+hc02RF6sPmCKZcN6G3rTzG//peabTZGbyXjrbWLD24r4NtpM9SfFafoektpcHid/92k 0V0SGyWd336oY69CjwxnMTAjjjf68mhzUUrpYqYzNjrss/uv+mTUvy+dBm76y7WialeGwjya zsX+pb4tXsbMpg9BTQ7n6JUaBoM0Yw+eXvB3oQdmO07zB9ysKv5jgbqXUOS3AXAxx2/4MzQ/ CrnpEqmMerfTVuqlWleuVbBW2dflvmmrcWP9EFW92u2X1zerN8d3c7ssZaCYr3dpYXfNPGmj k5nil191aX2K1vFkTdOxsQYt7NFC0xSDP+v0+2yf6kAKO3GexEqb1tPee8TpQtzaHed3pF3R 5bXVu2Lbk8qduIclLFNvlpRi+dH0ebOG9cs7D/Qs9TNdJuP0YEl+04VCJM+IY7U/8/YHQzSa AGq6sY0QR5IMfpnbWaLq95pteFcIj3PbltMt7B8I/QsKuFGSh7mhbKu+TP4O0q6zWLGdrd0x gK6cdpUsMpwAvrK0K+t+6F1dzZ/C7+z+xkhvvghcZ3+W+vpN9/LOA0n0MWztyRaBNk0E4/Z0 2fk9iQa/HK9Pqb9TtyjiqBFqqD/+cf7M5DlX/dZi5Mn10bfw6fPnt+W3GDFha1Nk3XrI7/Ei 11tXhlMbHz19zxsPPHlpYbduBGQN7rOzK+YTXpGz2IsQ4oi7xqv12aiqB09jr/565htN6K5k Eo3ZXjLZvUTPFAScUvHQsKuqxGk9RGzS9nd6TzGUpVSowXDbRmvrs8WEAfdANPyR6mHhrDJa hp6+bCdI5W/hHZT/gacyjpXxE/Cugr9F8ZfuNzcd7dcTB8FbDAfEyVROCugi+zknMcff3M7C wv0gC7rSMqgqAT8+Pb7j0+M7pg5WRfserK+t0c13XXjbpWWjB2Zimy+b9PLOA41m+tMOfplm c3XIqpY1p87W9r2ZDr3/J6yfq9tKvKWLU3f7udf7XBWNv8g0fvV2+Q0KseRuuWDpgycf/NrF vY/l98+vn2Pu0nFnl36nsh2WnI63u9jHyfzYYl8bf8aQ/VP0ZcC/veB53/pmOLQ6HnOt59Sc bhVQePA+BH/VmI8Oj/sqXqDU9kcu2jFGNBK8CeItXGOoonAhobLiSZEPCXur5ivoQ/DLJtut yES2hKsS/5BDxxZVuncZkw0MWu/20z8euvv5bXHjP3q4UQNFd+D0N9W0sqz3Z19pUw8gDitU 5Gt9qOrXGr2aWwxwtd6Xxq7IG7BWBGyZdWm1mNxomi766kgXJcVfGeetKNrBaOrG+vhWBwWN 0dnvbYgieLVyP+Tal+1Oo7Dzmizt/VY9uJ+A9xH8jUaG4+83txZwR+FMb5b/NjJ1mv+tR/Zl G0+5s77dWOx1yOYGcLSg75n+ISwOsiJ/ylSf9Cf4pfs4T3qOAHmO9vwKcgxo/B16RGgIY4ft ttMegl4F//nthxbF2qNm9/Tz2w/tN/7kqCRRlli6WyLHIpvI79c7dQw8n/q0ACYlt7NKJnjB f+SS7oY5rTgxefBeBb+jXPG/qLdeDIP5KPXWI/uqOv0X5hfye6RbUT8GHryc3oSjEr8hpGZf FxHAg14Ffx7piHgwpYoKs4UzVAr1ffEvRgioquA68jHR4N19WV3V76e832HwazWd9WVxMtGi 1iFMziUqOyyqtN8/kGVUVmSDGa0r+3wN8rc/erUFZnMK7B7A5ofTtRuGD+4018MHf40eF/Yj oKxuP8t+3b7s63nn3dWM9kdSz3+nWJu21fTO2n+FbxfmF8IuwK6aiMlHsvXJGvMH71vwOyqr /uumY+luLINQzs6uOKorjiQR4UEMv2s26DWUytRM34Jfa7SmP8XXNBUMaak6hxdoIYamQM9s Nj5rox/6GfzmdIdsPsHsj9nAl+3Z2qVHj4ELcXQINeoooGi/B/K/RCGWb12vAQquh8G/avzD TXeaP9FkvTPuy7Yy9lM12mS9krSv3T4CL5XhYhiK8CXdn736tRTH7XvJvPnVS/lOv62DebI8 6Gvkox4l/akY7+hHl/qylz3+poJss4rgPOzL9M7jey8t7Hb9LP3AdEYpGnk1Eiq4jm0UZ+jB n+37GNv2fPUS3YFgaBU0mUiOdoQLfT3HJWlTT8zyIM6+vjb04E8UVf3oHzr9gB9Ocz1fK1Ba OkDw26dnLt4/eH/oCxmuRqtJG4m5D2Edo9x5TPDDIj/BP/mXuIJ/6vnxiVbRB5TisYcxG0hv OLap0LAG1c6DT06r+tMI/oQqRExc3PtY6EvAWKd/arOyEcJggDh8uRFOM5nKSsBPzf6ogz8z bTtudMKoCQDEwHXwq/XZ/YTn+N1N2XZBfV/8jorVge9nACBCHoK/hsPg39H3OeZEV/QBgDsp HtTrXw+D/z5+8XEobNDb+6YYAM9iWK+fIqe5nsxyvkWxVjUkG+2eM6Vl8+88vtf/lQAAEtLP qv60tuEDAMAbKwEfXfAPR8wlfjFfG2IWw5LFaIf6YhD5MZvm5dgD2R5jktPgV2kt54NdnJQI ABFyHfwqreV8M+J46Etoj5VjAAaF3UHa8RD8NSIK/potZh+mHB1IgfrPP0JfApAAgj9h57ax sTkAoBmnVf1qfJw/gaF+AAD6zVbAV6V+/UfiCv7lNPfq18XzR8Xqq3McYwoAmILgT1hWfMDC OQCAIYIfAIABcRr8ijl+aOylCACRcB389Qj+rvKF/SxpBQBMVVXV3w7BH0ycp/TO09EHgMi4 6MenGvxsMesOoxEAXLgjzdVYYRH8fRBndx8AECGCHwDqCHE09CXA1Jktz4S+hAQQ/HDrvvUJ lBlxLOyVAAAkwQ+nDjD9BsAj7jkmbNXn9zb4n6IqrTMW8QNAPJzmOjv3IRnUBgMYCNfBXz+W QPADAOCV6+Cv+gvBbwd7DwAAGnEa/JMtgILogn8x2Rn9R9dP6gMAoIafvE+4x/9ggl3qNx54 MvQlAOiVWbEa+hLK0edpwWlVP3P8Q7dZPBv6EgAAY6wEfE3w13+E4LfjYdq8wDp1c2voSwCi 5jT4pyL4AQDwymmu56f2S6cPogv+FGf048fRfAAcWREnQl9CelwHf1VZX6TBD+vSXSgBAL3k OvgL/yX4AQAIyXVVf/YXgh8AgPCsBHxN8DPUDwBARJwG/1QEPwAAXhH8AAAMCMGP4WJjwb4S YjH0JSAAVg4bIvgBABgQp1X9BD8AAHHxE/AEPwAAUSD4AQAYEIK/SIil0JcAAIAr4YP//wAA wDAQ/AAADEiMQ/0AAPRY8KH+/wfoVnZVAl1FmwAAAABJRU5ErkJggg== --------------080006090303010305000505-- --------------010809020605050503080605--