Return-Path: X-Spam-DCC: paranoid 1290; Body=2 Fuz1=2 Fuz2=2 X-Spam-Checker-Version: SpamAssassin 3.1.3 (2006-06-01) on lipkowski.org X-Spam-Level: X-Spam-Status: No, score=-2.0 required=5.0 tests=BAYES_00,DNS_FROM_AHBL_RHSBL, HTML_30_40,HTML_MESSAGE,SPF_PASS autolearn=no version=3.1.3 Received: from post.thorcom.com (post.thorcom.com [195.171.43.25]) by paranoid.lipkowski.org (8.13.7/8.13.7) with ESMTP id u2189mOL008579 for ; Tue, 1 Mar 2016 09:09:49 +0100 Received: from majordom by post.thorcom.com with local (Exim 4.14) id 1aafGE-0003yc-D4 for rs_out_1@blacksheep.org; Tue, 01 Mar 2016 08:02:26 +0000 Received: from [195.171.43.32] (helo=relay1.thorcom.net) by post.thorcom.com with esmtp (Exim 4.14) id 1aafGD-0003yT-Q9 for rsgb_lf_group@blacksheep.org; Tue, 01 Mar 2016 08:02:25 +0000 Received: from mail-lf0-x230.google.com ([2a00:1450:4010:c07::230]) by relay1.thorcom.net with esmtps (TLSv1.2:ECDHE-RSA-AES128-GCM-SHA256:128) (Exim 4.86) (envelope-from ) id 1aafGB-0006j4-6r for rsgb_lf_group@blacksheep.org; Tue, 01 Mar 2016 08:02:24 +0000 Received: by mail-lf0-x230.google.com with SMTP id j186so33464074lfg.2 for ; Tue, 01 Mar 2016 00:02:22 -0800 (PST) X-DKIM-Result: Domain=gmail.com Result=Good and Known Domain DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to; bh=NI5RRU3ncnJ+4ThBFcFiau2HsXSvolrfHksQ9SrcM9A=; b=UlUX3mjuODamQRl4U03dYOc+5ehGCYsmmrrYzIbs7wDu24EbsUDl3VXBSvscCCW0qO WJYZyVy1PHdqOh7s1CQ8V/P87XBC/OO5WFM0yRLqJZHdHzPg8CmaJApCDCL7Wcq95OKG yO7FE1kg1FQCyVANZEjaKag0954ySk8TYvJsglPrpMmRnwP5BqHb9uuoId0BfgxYArYR EQ1kcShjop9IvzrMwPItxpWWkTjI5R04HKqtQcZDRaGk7jTFKE8bfNUlqxKjLo4LmtEI 3rHyKKJ6zHTaWToPQE4O6z5QUzgClbtASoPwr/ar4573vTcWjcLy6GKQQEvONTRnqtc0 +Ckw== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20130820; h=x-gm-message-state:mime-version:in-reply-to:references:date :message-id:subject:from:to; bh=NI5RRU3ncnJ+4ThBFcFiau2HsXSvolrfHksQ9SrcM9A=; b=X+GOC1l83cXkNUu641fxTlSBKhV3wLxNxeF+uOrL1xvU5F04h9xbceafikWZjL87/9 RJb088J5+zra8amR1ZcXFKwJjueYBu/GNP9TX+enWuOkKlC1GLoIUJYdqg38HV1kR7xU hEE61JYqzqaW3YHxbUx3ytWzAxQ3uRX9UYoG/hJhweThoLfIr024/PM4iL8Aq3HrH4D+ +UNeP8DVznYc6IO/RDgVmiSfc60zFZc4wFsJ3rUBgaQGg0IrDgInLZdS3nztISlQ9jcj 0EwbBBrLfkntNra3mclx3FwEkiwKRKXS8XUfgF9RqGY8FP3rMVqruW5ARHGUrz+dnEr8 yx3Q== X-Gm-Message-State: AD7BkJIfYCG/AFX1fZJMWle6WGZcA/0McgH5oJdQGTsHTBFoqDnaXJPoKT5K5US7algi9oIO9VpkVgwKixW7zQ== MIME-Version: 1.0 X-Received: by 10.25.162.144 with SMTP id l138mr7745071lfe.32.1456819342000; Tue, 01 Mar 2016 00:02:22 -0800 (PST) Received: by 10.25.155.193 with HTTP; Tue, 1 Mar 2016 00:02:21 -0800 (PST) In-Reply-To: References: <56D08BEF.7070708@abelian.org> <8D33ED4DA8562EE-14E0-601004@webmail-vm018.sysops.aol.com> <56D0934B.1040700@abelian.org> <56D098D3.80501@abelian.org> <56D0B22B.2020107@abelian.org> <56D0B58A.80908@tiscali.co.uk> <56D0C373.1090004@abelian.org> <56D0CC55.1060400@tele2.se> <56D0D587.7080309@abelian.org> <56D1DEAF.10202@abelian.org> <56D1FD5F.3010301@abelian.org> <56D2DA6D.20209@tele2.se> <56D326F1.1000102@abelian.org> <56D33297.9080209@abelian.org> <56D37529.9070607@abelian.org> <6732A7AB5E094156B6AE3A33E58A964F@White> <56D3875A.4060405@abelian.org> <4F4F6D69C89949808409DA43533DE43D@Clemens0811> <56D4C572.5040400@abelian.org> <56D4CF24.7050609@abelian.org> Date: Tue, 1 Mar 2016 09:02:21 +0100 Message-ID: From: Domenico IZ7SLZ To: "rsgb_lf_group@blacksheep.org" X-Scan-Signature: f7a04ba61e021a3c0a54663834ceafe1 Subject: Re: LF: MF: EbNaut Content-Type: multipart/mixed; boundary=001a11411d96628194052cf82fe9 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 2.56 on 10.1.3.11 Status: O X-Status: X-Keywords: X-UID: 7150 --001a11411d96628194052cf82fe9 Content-Type: multipart/alternative; boundary=001a11411d9662818e052cf82fe7 --001a11411d9662818e052cf82fe7 Content-Type: text/plain; charset=UTF-8 Hi Paul, for your analisys, in this folder there are .wav files recordered during the EbNaut test of yesterday night: https://www.dropbox.com/sh/9c3nnw40nyb5pqc/AABZ6oPxpAY4IwuWFmebMSfba?dl=0 These are available also to whom wants to try EbNaut-rx program playing with offsets as shown in the attached screenshot. So everybody can download and use them. 73 all Domenico, iz7slz On 1 March 2016 at 00:43, Domenico IZ7SLZ wrote: > Hi Paul, > again congratulations becouse i got some more better decodes. > Here the results by playing only with nominals time & frequency offsets: > > UT Eb/N0 sym Eb/N0 carr Rank > > 2045 NIL > 2100 5.1 7.2 0 > 2115 -1.3 -1.14 47 > 2145 4.0 5.8 0 > 2200 NIL > 2215 5.4 7.1 0 > 2230 2.4 3.3 0 > 2245 NIL > 2300 NIL > > So, seems that fading can interrupt completly the EbNaut signal but, i'm > shure that , by making some changes in the freq. offsets, it will be > possible to get also the failed decodes. > > For further analisys, you can download my FFT's files from dropbox > https://www.dropbox.com/sh/zu0k37z95ft1xfw/AAAgwsWDdfHVxTByuT8CyY_2a?dl=0 > > Receiving conditions: 7m vertical whip, RX JRC NRD-92M with GPS > disciplinated OCXO, soundcard calibrated with 1_pps from same GPS. > > > All the best > > Domenico, iz7slz > > > > On 1 March 2016 at 00:07, Paul Nicholson wrote: > >> >> Many thanks Markus and Domenico. I'm really pleased >> with that. >> >> I make that about 2022 km. A distance record for me! >> Maybe that is the farthest EbNaut on MF so far? >> >> My callsign decodes with Eb/N0 = -0.4 dB determined >> from the symbol errors and +1.0 dB from the carrier >> strength. Still some discrepancy there. >> >> Data from Markus shows invariably a lower Eb/N0 (higher >> BER) than suggested by the carrier S/N. The mode is >> not performing as good as it should, and the difference >> is expressed in the dB between the two columns >> >> > start car. sym. >> > 23:15 10.0 3.9 >> >> missing out on over 6dB there. The difference is caused >> by phase jitter if the carrier Eb/N0 is greater than the >> BER Eb/N0. The other way round would indicate some other >> nearby signal in the decoder input band. >> >> The question, is that jitter from my tx or is it propagation? >> >> The signal from EbSynth is good. I'm suspicious of the multiplier. >> >> I think I will have to make up another divider and divide >> the signal back down to audio frequency and compare with >> the reference. I have a nifty soundcard program for accurately >> comparing the phase of two signals of different frequencies. >> >> Now for a celebratory cup of tea. The signal stays >> on air until 00:00. >> >> -- >> Paul Nicholson >> -- >> >> >> > --001a11411d9662818e052cf82fe7 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable
Hi Paul,

for your analis= ys, in this folder there are .wav files recordered during the EbNaut test o= f yesterday night:

https://www.dropbox.com/sh/9c3nnw40n= yb5pqc/AABZ6oPxpAY4IwuWFmebMSfba?dl=3D0

These are availabl= e also to whom wants to try EbNaut-rx program playing with offsets as shown= in the attached screenshot. So everybody can download and use them.
73 all

Domenico, iz7slz


=




On 1 March 2016 at 00:43, Domenico IZ7S= LZ <iz7slz.domenico@gmail.com> wrote:
Hi Paul,
again congratulations becouse i got som= e more better decodes.
Here the=C2=A0 results by playing only with= nominals time & frequency offsets:

UT=C2=A0=C2=A0 Eb/N0 s= ym=C2=A0 Eb/N0 carr=C2=A0 Rank

2045=C2=A0 NIL
2100=C2=A0 5= .1=C2=A0 7.2=C2=A0=C2=A0 0
2115=C2=A0=C2=A0 -1.3 -1.14=C2=A0 47
2145= =C2=A0 4.0=C2=A0 5.8=C2=A0 0
2200=C2=A0 NIL
2215 5.4=C2=A0=C2= =A0 7.1=C2=A0 0
2230=C2=A0 2.4=C2=A0 3.3=C2=A0 0
2245 NIL
2300 NIL

So,=C2=A0 seems that fading can interrupt complet= ly the EbNaut signal but, i'm shure that , by making some changes in th= e freq. offsets,=C2=A0 it will be possible to get=C2=A0 also the=C2=A0 fail= ed decodes.

For further analisys, you can download my FFT'= s=C2=A0 files from dropbox
https://www.dr= opbox.com/sh/zu0k37z95ft1xfw/AAAgwsWDdfHVxTByuT8CyY_2a?dl=3D0

Receiving conditions: 7m vertical whip, RX JRC NRD-92M with GPS di= sciplinated OCXO, soundcard calibrated with 1_pps from same GPS.


All the best

Domenico, iz7slz



On 1 Marc= h 2016 at 00:07, Paul Nicholson <vlf0403@abelian.org> wrot= e:

Many thanks Markus and Domenico.=C2=A0 I'm really pleased
with that.

I make that about 2022 km.=C2=A0 =C2=A0A distance record for me!
Maybe that is the farthest EbNaut on MF so far?

My callsign decodes with Eb/N0 =3D -0.4 dB determined
from the symbol errors and +1.0 dB from the carrier
strength.=C2=A0 Still some discrepancy there.

Data from Markus shows invariably a lower Eb/N0 (higher
BER) than suggested by the carrier S/N.=C2=A0 The mode is
not performing as good as it should, and the difference
is expressed in the dB between the two columns

> start=C2=A0 car. sym.
> 23:15 10.0=C2=A0 3.9

missing out on over 6dB there.=C2=A0 =C2=A0The difference is caused
by phase jitter if the carrier Eb/N0 is greater than the
BER Eb/N0.=C2=A0 =C2=A0The other way round would indicate some other
nearby signal in the decoder input band.

The question, is that jitter from my tx or is it propagation?

The signal from EbSynth is good. I'm suspicious of the multiplier.

I think I will have to make up another divider and divide
the signal back down to audio frequency and compare with
the reference.=C2=A0 =C2=A0I have a nifty soundcard program for accurately<= br> comparing the phase of two signals of different frequencies.

Now for a celebratory cup of tea.=C2=A0 =C2=A0The signal stays
on air until 00:00.

--
Paul Nicholson
--




--001a11411d9662818e052cf82fe7-- --001a11411d96628194052cf82fe9 Content-Type: image/png; name="Screenshot 2016-02-29 23.32.17.png" Content-Disposition: attachment; filename="Screenshot 2016-02-29 23.32.17.png" Content-Transfer-Encoding: base64 X-Attachment-Id: f_il94czbp0 iVBORw0KGgoAAAANSUhEUgAAAccAAAKACAIAAABmKySsAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAg AElEQVR4nOy9eYBtRXXv/1219+nue5kauCSa5y9GAXEKahwQAUUQxDjhFKMmXmMeIU9jNOYSEaMm xocTTon6VKIJL4lzfkFNHEEwjhjnKQEUFYkDcKGvTPd276r1/qhh1x7PPufs031O9/rcvt3n1K5d VXv67lWrJnrAcSeura2tre5bXV1dXd13ww03QhAEYUoQUSUo/BozyfF37YeDDjpwYWFxcWkpTRfS QZoed9zxe/as3HrLzR/96Ee3b1s654VnP+MZO8dMm/spYodkRs+ph0S59K1TksOiMddv5+h/uQTc EMBxzMKX+vDypraPDUdR2NzD9efKsTVTeJaqj+qIUDnRmgQbNlZ2rexN8XdqC6+JV685VNy5uK31 bFD0P7B84P5nnnnm3//dO1t2HIM3v/ktz372s3pM8O3P/19/8Lr/02OCk7DzkQ//2w9+5G/e/NY3 vvENv7jp5uOOPfbQHTv2P+DA9NJLL1ndt/dHP/j+X/zlyx526mnfuvz7//QvH++err06zP7GIoRr Sgh/3IcmBYmpUaEWNWuUiIa8KoHVp5i5+rWcGHMewsXsONqhGAbDTAC778x5UlxMlsFgZg6p+kiG mQ0Yho1NgpnZsGFjkzXGcCiAMRyydulFJa+UMw/w/6K9oxNVOlKXZnQuuCix8dfiK6L60miWVGZ2 N1uzdlFF9GpC7K+SYFH0OZekug/RXxtKIP+pcPMXgvKvlB8EEeWRKXwjH81HJf+f/DeXZhQxZBGn G2fCgKI863AsoWBPfORDv3vlD6+6+ic/u253fFbbBbrpNFsOPfign19/48+vv+FH1/ws5Fs8O/GZ j18o9Vf54IP21/tWf/zVr9x8xX8CSPzJSN3OnAIAFKAAwCh7QZtLzsWtDDBgAECFzwxoACDjNoEZ mrH9V39N6+yan11/p7v/xscvuuQTH/u3l77kxXc6/Mj99j8wzdZWr7nmv//yZS+7532OufjzXwUA Ui1nsHCo7lQxUXzXENmgPKBwauJjaA9qMazKW5vkuu5BrQou1z/dwV6Mnn+O9CWSm0hla1U1T8Eq likpGcDs82EAbILG+VA2bH8bBthow4aZmYmNISusBGWCmBIRw3iJpharmcFgKp4tAAARMTMoPr82 jAGQf08SkT0JxADIJuWC3OV3m+LLQOTu6ZCrSwYId0u0CaVbaJi81m5u1VP/7vf3NhdFtph6QXnc 2ebYgox/g9lKmxNBRjVavjuz/UMggJ24MttMCeyKxLYQTMGs8UX15QGUT78ofIXC1wXmm5hbqgHV 11w53XCDhJOX62nB6CpaYD6J8MXdB6TYMDGTzgAYK6AEDZMAZEMIxh+PAan2Sg+Vtxr3V8NLqjOJ 7FdWXnZhtNEaINq95+bPfvU/f+OYB7/sZS9/+bnn3vGOg/S2W2/db/viyac+4lOf+8rwt1IoTPTe i9604Q8IcTBQvTmHmKRVGhW2g73DlY0heq1VVF8BN8wECsZXSXBjiQyZmWLWuUoy56ZdZD6y38Jx bGuleoxhY0zCRmtmNtooJqPJGGPACjDGP3BsX26mfJDBcIV7XRPbw3L66R5uu5eVA3v5OAoEwE5L rCYX9JS8PjGiryjcx6WntmQ4VB/o8v05kt0afSq950u2qt09fp5jbQ3hBUXx0uQV073W4C5AfFB5 EtHphYvpLgKzTcntTeHKBJG2V4TZbaRi2k51QfkFtn/9608FcSucs4I9GR9t+dKEoy0HFpICkdY6 SjIYXX7vYt3WH0jp3RedYILJ1gxztroGILECp0CAJiSAIQagAA2k7qi5xUgM+ht9JaukxocAwUbI n2cNUJaxyYgoSVIAV179s4f/5qNf97rX3nzTL9Ibdl/7grNf9O3Lf0DdTFREF8OdJEWKiIgU2c/u u/K1j3Aym2oTXTwDXSLXbqqp49dEqkknTq1Yx0VkwoYsCjXrQs7sav2xKRqEmHPjN69J+/o9kNuq toJvDIMNG2O00dqw1kZpbay1arTWBiAYY4gZhpgMDJMiZoO8Gu0MTvdcFsnfG/YrlY6dAPYSGz4X bFUvnKWv0d+yEYrSc2u3Vu6W+runqf5Z3DqetobPHCtXnmOsQxT9Ltgd/kVE5M4TiIkpvISsVexM VJ9BbkLmyhmebR+BQcq+uGxmIQLiZ82WoWAIcfFAwwetzepaVj1zLWe+6SIRSGeZ1jrLsrUsC0Wy WvCpiy75xte+XZuq5T73PfqU004pBWrNWFvlTGdre1VUSPImqssXSAANth4AG/6+K3762WtWbDrH 32H5t+5y+3LIUbeHt0nh6/vsqv8wgGG/lWGATGujNYFIJTaRy3/40+c+7/mvfc2rUo3ksY973Mc+ /aXG907pjEW1fWUtUaUUkfJKqpRSKlZXL69E3rIp0WRr1m1tKVyrpFa3VSS4ZM/m4le1ZgGEdqi4 dm+xdfCwJ+cailhBAVc/R+7KjDIPNqtVXsA6UNmwNkYb1kYbY7Q2WaaMMZk2mSZSmjLK7MNooMHE io0BERmGtyyDWcp1zwQXrfTYHvUaar9X9NQn16anKNuniDcVt9ZHqHmSW/W3i93qQ9q1NVZUJ3Rx kFdCjqUoNgq9xRX2ha/+OoMz11K3FQjy68WVIvuKfC3BFsl6Dci7DeJjd2lyXlxvGSuVX4tMZ6ur q8Vz0XI6w+GhiDtlWptMa2N4dTWLFJVA9I2vffsD730bmnnik8888WEnlQI1G15d42yN9+0z4d4g wNqthATInFOVFXxlCQDw2WtWQo5PfPKZrPXnfnpTHPKEOx5sk2Onp6z9W83kHgAnsgwgy0yWgUh5 VV25ee/jnvDEV77q1SkBBx90gPeGDyEY9k4urZI6GSWlKFFKUfhP9q+L2UG2K9rXLKlN+prLaLN+ N1i7XN2XC3tU3a+hOSneHNmoHIdwVV1z6YwlOP6U78mGjWFtjDFGG6O10VpnyiRKZ8ZQlimlMq2I NGUqI0PQADMbgIwxRIqtrjLF1UZbFkLsPmX4zZEHFfD3qK/vA7mewm+OviK/qXM9zb/U2acoPMKM xptmZLu1aVOdgNRoa1E+Cn7KgqM1NgmLIe7RKTrPbLTgZyxUhuMoodIXKTRFaSKIVp54OOzcSPRx QmLRaSAiWl1du/mW28IpKJ2U2rPY9EYjor2r+/atrq2urd5y622lSis6cOvefaV4q6tLa/tuy9bW 9t18MwHWFNUKCpw5+9R5WhU4cUUzCgDo2B2LT3zymVZGP/Det4XPAJ745DOP3bGY3XITAwwq2Ke5 lUoGYCbtbB4sru7Vq/uISCV5Lf+gA7aDKHVvMVWu/q/ddpNeWy0faH6ugwtVDRYW9jvokCRJEqWU UklCSqnE66q1Y1XkUXG0mZ01MdoN2nKcZhO1tC0XwPIeua1aTbkgpv6PbWAKIQVF5bjUHNul4VNu AEfiHfcQqEqqNonKdJYlpDOCIsoABetJ1YZBCtoYQDEBhhHatKiYiRdN/+6v6a0RewtcTwZE2lrW U8pPS1VPG+xTlGiR1PLuhdCGp7yydai2lv4WfAlVeY1t0jy54F4OjU/ekxDEhQB4IxPemHT2rLVS gz46o9U+eC6yfwdGJaGwu088L49v/XIRCqUGtNZrWVY+G81iGp1Div67P9rer4Yz7T0ARAoUJ/fE J5+JIkHsjCk8X7BdXLIMrM3qGvu2flawXtDoVLlf8b1w+u2WwCYW1lCAYw9dOP1220yWGZ+ddZ9m gE3aMGX2oTYql1ptXHMVJVHxiYjSoJGlY7vj7Q65053uXKdLLu5//2y3fVRu/sXuldtuPeig5SRR TliVigzY3BXQ8opqq/g362/tlvr2qtodc8GLYxfLUrJSI1WN8mEGkNRscrV3/7/sXqh0UyoF5L8A YzgxxmprpkyiVKY1kVJK0xqIDCmANDIw6ySXaCjDhqDArCIrMjJNQ0jQ0+Crsc0bvonZHoW/eyNb Fcj1I5wur6cu7fCtfBdUWqUKcjyMmmhDHbIFMSgraB44TFurpmvhbzBFg37lMSj/W4wafKpBOimY qHFbD8Chs1R+FHE+uSkb5ZNbqsXiOq3VxmSZLp6X+PjKB179Hk4PgYwxhtkYzjIdrDADgiIAe/bs sXF/94xn2E1EdMFb3xHCdcFMcT1nOMtYG722lpdAATBkPZ7E+SH7H+OL9JgdA9bmiU8+8x1vf7UN +/0/+LMHLieP3ZHy2iqCeRR/4NyjWlJV1pkxmgikotMBwDaUUeQaCBy8fNA973ZESzPS3Y86wpb/ M5/74o0/vi5N00hSKVE3fuUvH/HiS33s577vkqcc+qUXnfzRR138F8fuiNO54fNnPf75nzjxdRf/ xYNc+Pffc6/fx/sv/e27oPzcD5faKPiKDxz7W2/Jv+46//NPO7xodVYTLzdKVSTWK+TuL7304Z94 xMdfdMwhXJ9AWSVvuOxFT3/hr//1xU/+Nb/DVR849nn4vxc+4fAbL3vx7/35pwDgwee940UPPDi3 YV2qN/7HS854ySVP/5tPP+LXjDGsjCHSmohIgbR/rOwH5R8a+yQaZAQYAmlmGE4oMocjMzo+0mIz XfXYKuePhwRWvtWc2baYw2jU387yWurQUxPYoKdoktSwITSVF9Qy0r5SzELNPncoRJtiZ4JXzMJ+ kRBHW8PnOOk4fSL68X//7Cvf/G4e7kt57dU/vu2WW+tPMgBg+/773f7XfhXxsSpora/5yc+vvX73 N75zBRGRsrkqSgjA3r177b7f+q/vq8TaXUkc/t3v/cgWI3SiztbW9lz+rZuu+fHVX/j3hEGEBFBg BU4VJeAUJiUQIQVS7w2I2bvfHbH4yyELAHt//pPdV/0ofGVAe93MAM0wDA2lQZlBFlqxGDhgeeW/ fwxQ3s5Ptp5Aqb0HVFVulfrhj6698DNXkmJSTAmrhB9xryNu98sH3nzzLQD223+/f/7sDwDc6QAk SiWJa7OylX9b6X/IeZ986XGHkesesFsRSCVJEis4Wz2/9Pkf/8F//O7h7iICIJWoLk8YA7jyHx7y NLzzst85PIT4ZJ79j9980pEA8P13H/37D/rmqz5y3jGHAkXh8IYkFdXB/mnSFyKAFCl3LIX0InsT wWQ89KhHH48P37jnqXd2qnnlt9+K/3n+XZIfvuf3/pxe+v4v3veQKz548tPfedq//tkDDs277AO0 +wt/95JLAKhEKWXfxq4XngEUc5KwARLrQGVWSaqYfP9nosQ9kMowExuGtUfJF5X8UVHI0R9/3ppV ednA2rqVaoFPtnyZ4turvctHRxO1O+1evGa3YCVm2YDNvwahDTsVpTb2ExRdoGUrM1hZ4Vtu1Ybf 7Nt88qTJVhW8zVfc1xtTedZFYzlP2TqXouNyG2+75dahjUuZMUGxAcCQ1sbV2o1RRDBEpEgZ24t2 zdubX//MZ+KkQrhh7y2xtTrbPzvL2Bi9tuYeQgcbBQIbGEMgCk354XIAwEUH3vnri7/8hte+OGTx hte++Hl/+lcw+mG/uCrc+P6H2VqpDANlQMZY76p1sIK1Zq2JoAq9pwhA6k9ptVsVEyU/3HMzpZws aDUwycCsrWlwXFokCwaA71Tlvaiu1g+o0F5FZK8tKcp9uOzupoe94Dl41e+9+4GffepRcK8XpUiF m7TlKSS3A5NSKqgD8mRsbkc+7dvvpHs+85NXfvopd0HhSWPYXtMoP9DsN+UZeSOPoBKCPVQrTTa9 uM8zMxB6sDDTjrud+tDnffJ7N97/mEMA8Pe/8rf4kzcdqX74/jfg2f90/x3EfNRDXnHyOz525cox Ow72lW0G//Dfd33+D5/7zLe+kUmpBKwZyigoZiQMk7BhKGajEsVQiWIrtUgMg5mU7xlriNkYV0MK RfXST6HeHXkwYnktnZ46N2ltg1PxlHI5nXWjXVtRltHu2prHC2ENnoHIIRCpKkV/gk7GEWLblaLN kSUbbfYV/EIGsUHsPQyxLZyfAqK8T0BBI3HjjUNmCLGWZpw8lIK3tZwC+Jo+vHq+5pVnl9IJkmeN CABEzGzAipSyWpMgIWKlmPyLBuG1Qs5EJWdYuJvyogPu9PWl27/mlWfb9M86+5U269e88uyzzn4l SD3sph/kxxI+MbzPVsG7hIl9V2JypkvpTCh32ZQq/dhua4ftWKSFtT1rv7hu7+6f3Xat3Yf9Y7Z0 8N7tO24BYM+aNVET8ucRyDsLOKUFXf2Rl9z37sff9+7H3/f5l+22mRHozqf+2dtOet3bL7vBGblW fG/4wp8ef797HH+/e5xwv3u89Au7laKr3n2PE959hb1KV73rHie86wp15f894SmvAl79e/e/50u+ cIOKsHdX6Nd15ANegNd/6SqllLryAw/49YfYn3dfaYt34xfPOvGYo0885ugTj/nHq0jRDZ/9y2Pu 9dBj7nXSA+910os+t2L7O9z4ub869t4nH3vvk4999cft4SlS9L1/Oe4+pxx3n1OOu8+p7/+eUoq+ /65Tj3/Xv7z/N0474ewv3+B7m9FhR/zmwz7z0ctXSBGpH3719fijBxxON974HZzwq4faKIf80tH4 9NV77KvI/v7Be5/3f573hifdn2B7sCW/+MpLn/boE3/3sSc94/EPe+vXV5Q/6yq/fd1vvyWxvTNC tzf/IQpRCanEXnj/2f2Qey/6r/4nd56rRKk4sP4nZLpRP0MLUDwEfy+H4206IdVTV3uGaZQfuA+g wgdAwX72H1xIiA9FIIJNgVy0IC9elsNjYVvRnXHgnro0SQYqGSTJIE0GaTJIVJomAwC3tgIgTdI0 TZMkTdKB/Qm3R5KkSTJIkjRJ0jRJlRoAyFoBEHZJkjRNBkmSkko4SZEO1LYB7begti3StkW1bTHd tpQsLdHSklraRovbaHE7L23H0jZsy3++vnT7V7x8l038rLNfee+16846+5X26ytevuvrS7fDtiVs W7KReWk7lrZjYbta3E7bttO2bdi2qLYvJtsWaGlBbVvEfgtqIUXiXyT+x0py6twrlT4Alu/+/Jpb 9a3pok4WsoQyr96uIXG/g29O0zXcdBBR3oUK/qEG4dI/eeiJAIA/fs93f/soAvCp877+uov+63/v uO4LZ53w/Nc8/l9f82D3Bv2lBz9j15lPf83jP/zqB4dX747j3/D5rwHA7s8+79HP+egzvrYzeIpA dmAt0V2f8fn30oOejAu+uvOI0rsTVp19tdSF7r7sBY//9l//+2eP28G4/H33fdz7H/Ddk699/uOe e+93fvl1PoXL3/eIZ+GNn/70gw4Frv/iC098/Hv++dKn4AO/+Sy84dJLH3QorvyHE5/2iRMfpYhu +OKLnvSd133q4gftAF/+z8c+6Z/v+40nEAGveSu975Ofvwv8aBkAh97lsQ8+60NXPe/4+x1yxTff hDP/7ijQdf5uz2thipR7wdKVHzzjDf/zb790Z3Xlt+yxkDn4mJe/9yNGG979pZc852WffsT7Tr+9 Ahl2jhqVEIMUE0MxOEECcELMWjGBlK3yFw1VVzxvq9pz5Wv0RTdpyThFwWitZwPt0yZGtFuRm6Tl gIofwP+tMVfj75TvGwzMgmkYW6F5I1Veu4/s2dyHANjKvr+XSiYtvDUKL62h3N5STtN0MFhgxPcj CLTfgQc89/kvazlj+x10QDpYCIab/WVFmYiSwYKy/kfrWlVqx6/8ygv//LyWBG9/pzsnSRr8qnbM tVIJ0pQW0mS/A4jY9gFIAAIrIEkY5AzLpKJn98aNIcd748aHpTcAaRyC/baHyAowBq7uy1CsEuPO chpGZA2WlErD2QsQkNqAomsgr8rtxS2DbVmyoJNBli5Yyzy38e+641cB/OSn11vLiJR9VZJy70yc +MZPv+y4HcEHAMLJb/rzB+0g4JcedMYL8Vs/uAEPOcS/SI/8nQ8+97zHvv5zn32GzYUI1//7ix52 xqdcWe4TlT4+DPI3TKFWX4zJAG64/hs45XGH7P7PCy7CJRc9+Hgf46HXXfGrH/7YQ//6nCPJDwq6 8rI34QXvPG4HAcyHPfCZL8BTv3TV/fFmvOAdtkntyN985cmv/hgRdn/34xfj0xefdLJP7SHX737C DgBnve3JRwHwY0EJBNpxt1Mf+pxPXPln99vx5bdh11uOCMXz96Ivsh0k84P3P/Vvn/2uDx9OHEWj 3V98/VP+9Isut7uHNwzBECkiBhkoRQxlWBNb04UUiA20KQoKU+RMrul/irwG5XcrO5xbBCr0dZ1N hmorCoWv++S/1LsFyvIafYvVMP5WElUvfbn+xo9AXRNWno/X42L1P97FhQbpTgeLCdG2pe2ZMRTf kMAd7/rr8UmL3xSRpPsI/kuSDlSSpEm6OFgCxajD73b04Xe/l7fGbJVVKaVgawJQuUPDecIYbNIk TdMFtbCQHrg/sW2nQqqseQhFbEU2SUDgFAYUZlrBabj1NMQNbvufhlsfjlujq7m/bapKgYxVCmRM MCAgg+uexozMQAFIU7Xf9kQNSufBkvpr51TVG3R+87a1dJAlgywZZOlgDcWW8yMOvjOAn+B6EIH9 401eWl1+xSzDSQ8vXYK/zHd7yvvPeeOTPnL0WfZ5v/w9DzuD3vS5Lxx/GK74+2N/K0oiurdyP1EI 5Nh+IO9rve6KD30MR//hIfg5cNp5H3/9A/OeCNd94UPhLokbYHJFjojOntOfh7/iI+cdc4jvkMGM K315ON+fAeCwwx95yr//2+Wn3PM8POe9dwKBdxx6D3zm6hte+MAdYNxw3Tdx4mMOcpp2xTffDOCp j36zz+4PHsBv+0dz5p/iZR96130Pzq5879Ofx/7ckWvBIlJICCBiJutLsePJnZc7VrrYkRoOt6HD adk+bVekGdfTmB7sVv+lcJOX3vwFHSrpXyTNUdtVHiGKFrtS8w+xJBcejVw9C7JX0laf/H777a8U HXjggbfZ7vchz/g8RG+R+NQVXx4u9cFgIR0sJOlgacmrqjVWnZcvCSKrFME5o5R3v/qywhmrAKfp AIPFwcLS4oHL5Ce7SL3RqhSnylqvxj4G9gDK3ZsiomaY6Kt7kqF8PyplYIw/AUwAkm37m20HLh+4 f36ho4TSIGqVTQAwWFxNFrI0zdLBWpJmiFWHsZZlmRs1HLSy+CKz55cpDKG7+Nn/9oxvPONIXPf5 88/FWR86EtgN197GAI585OtOOe75rwF2MV9/7TfxiEfddQfAV37pXOCFAA75tUfgj7545e/c9Ygr /v7p5wG7wFzQrajCar/buu11X3zBCbs++cK/f9VdgUMfecqZu8573IWvfPChLvJhRz7mtEv++Nwv fPx1D7RBRzzwj/C4Z77rgZ9+6lHA7i++81X4k///zgdfeyL+8B8+/5svPfbQ7737xLMvxkMeBT70 bqed/L9e+NrHvv9/n3BwsVsWR3OahFbvg4947AmX/NGLL8EfvPMuNuxOv/GneOY7/uPkV93vkCs+ /YKLjn/VWct8xYUnPgV/++XHXvLlx7j2sSs/dNJT+e1feuSBnzsPJ514+KEAX/2tNwHPdrdBbE8q 23tP+RYvOybRkMlNmrjiDz9TVNSfH9EVjBquOtiniBvv5oSOpa3U8+o/UTFOvFdRhopqVVDVvL4f IkdqlT+vsV+gflMI9GEhIaAQtnvPLYff5a6f+MRHT3nE6df87Pq9e9dMcN1ET3R4CVTNVcA55UK2 iwuDhXSQpunC0pLyBhSFEUGKyLfIxMIK8nHDCWXYMTYLC4N0cUALCwv7HwhAwVj7VCkkABFSggIr ZV3LDKuw1WvZTAYASjEMiLWbA1AxmJEaZECapMni9v3/vzt99/ob73Xv+4ZLGL90UhtGSpW7uxD2 7bvtATsOJ2WU0koZpcy+fbcBB9ntzGy01sa4dN37kKyaW1W79LkPPsHGPuX8D7/m7mCcdMrXfvde 59qQf33aXZlRzPewY19w/kmfPONTIN7xkJe/7wcPethReYGYDj7uD/8Yj336vV8BvPCPd+Gv7UN/ l0eed8rxT7/PK076m8/+1fGH+ZuBGPib377rX7sCvP3Crz74UID5sGN2vf2hD/+D0z9pN5z26o+/ /oEPev07n3+3Zz78YwCAs9/5H09/0sfe+u3THveQ1wMATn7rPz/lKMNHveQfX3DS7zzkUgAn/9mz Tn71dxiGD73/89/ykEc+60kX29ROffmHz3uAPT9u8hsO0g6ADz3qlIfiM5fsOvoIuA2HP+1v/ui1 z3ncJwHg2e/+0AN2MN9g4xv3nnDTajCDD3nQ897ywyc/7bhwvpiI2Q5VJkAx2DDbrI11pLrR39av xYW+/eHM5npa7wP1e1U2FOJ4V+w8KWqBEX0CxfBw2ur+FvYqZVO0WGPrMJKrMMS4UDOzry/2ke2/ MDoriuYy5aKhm0cAvvfjnz/5CY958YtfurqWnf7Yxywf8ktZpkt2amyo1h15iJpH37a0eLvDDr7/ 0UdGBxqbylGNNchueIeUYGbwtsWFA+9wxzsce4ICyHWucrOo2Opxquw8VrHMjQaHln+AGZqVHWtl h7EiXbh+7+o3rvrRB//hHS/5pw9975rdhYO3B7TjV+74X9/59ocu/Wop6V/Z35x84nG33Xqzu2gq BQyY08ECEWVaa22M0QC+/LVvXX39rTt2/JKbB0DZplbXfqVU8KhUrkf1aPKP3Lq9dd+2cVpAQU+8 tMXbogjVXqhV87PYeT6kkHdJ4uhvvpVLwYjHqsaphBzdSBVmo42drUobk2mdaaMzkxltP2eZybTO Mp25+VeMZjbadvbzE5tVT1ps5TedujpGmm9sXhjuFmj4XrjDh5muIaOiSyBPx5ubhb9RlT+vwufP Vy6bRIX0yZuIudeAConQYQfvf/c73/49H/jglZd/d2X3dV0OoUFm84gLgzQue36QwRUd+Sgig7t4 QqKH7Xb/+dkbdfT+9kNgXQK2aYcAawkHMx3h9VOgOhMgbM2ZEebdtIay7y5rAC2isD0AACAASURB VPzy/vvd9W73PPUvXv+T3TftuWU1PxPAqQ+4y93ueXTqDrU0CoDxs2uvv/QzX6gUA7bLidE6VHB/ 8tOfYeEgBhuQn1OTiYmZFQB2HlbmUNcs06qCjbHLc53knxrCEUld4WvYj+N4fnRU5Eoo7exmlIqz dTtW5Bl+tH8xsOQ0KA/IimUZxl9a27das9HMxtixH6wNawNtoA1rw34eMzL2etuxqqyi+nxunALO yPHbSk6AeuLOuZuSTqZrw5cgGsUthb95dIrDi+7MoulKFAeGVFyrVG7P+jgMUJgTAE6S89kDvEFr ZyG4fs8t37tm99N++4kH7b+tcgQhdlTq8lFT5Q+VP0e/EJWq6MCgSpp1z9jwN/6k1F7+kOv3f3LD yi1rFF8LT5pfgXgfwr6Fg79z9Y0lS8RV9K257TuCJuqA/bftpw0SN0LADt/RihUTGc4nAWgw7Ou/ 1H1q3RWNhlPZLERB3YrDrEJ40XL0mwzH3/JMw9VGUMt45isuFC6aMgXlLSH7OB+ftTEwbLT2swFo Y7TJ7HyAhjNttHZrrNjJCN1IKTsdlb2NQ05hsr5whOWPjWx6PY3pQVt9YLuRV8yopMOh2SZymAJe N8Mm97KE7ytXSjJcXK6opt30k+tWfnr9StWfqyJnbWR25gZveBdQHETwo1TtzefmsQPBtfsjn0JU qQS25Sp0wPJ5eZvEWY/wv6NNjZepeHzVE1uKXAotrYPRkDgX9iQgdRawopCIZXFxaXFxCcU0/ZvG LqliT4jrC2GYwbCrKhkipRTbST2Yja+eUGU9g9IhjBRWqJ6Xvld2LBiF+Qj7Ql2YS6mU5vHLrdZ8 J47/R7m6ZU6i/XKVjKr6BdM0MkvLemzTZMMGxthJq50HQNvpVrW2Jmpmjdkw1RWBQazAhtwIv+rk /ADKLVSNbCk9jel4yLXy2uoWKFuAhYwis42jqjHH0bzn1DtVC8ZpWHiFI9swikwU2iopJO7ULJZW DoWh2LIOqeUJeM0NikveK+FmYw47etW37wGwseOsmcFuTjU3bWWwNbyYRhYNwU2n1tRG6l8k5UsQ va/K8QszEHHNIzH0VvAegJqrXdfB2739XK8pW9W1phkBbMAEw1AENsbkzX4WLh/AMBO+zUNa/NSg oZVEYv9m8UvYqzgPX2SKhm3udVnILozch7cRw265CzVPsqjsjIrShmTjRN1CVcaw8eusZNoY9tpq 2GgbDsNkvMWaL4QCINbTEY1TbEk9LdGP6eqSKn9p0tbKsx8H5TXQis0U5entRxsnKGnB+LVi7JN1 xi9cF6ZcIDiXyroj9iXxCRnyy2cRQMS5u9M7IwLuuTJuEDo7l6LTVm+Wlh724rkobaj/XtK0uBD2 iLvd5ZUMfClSv7maTkUE8zI4Fc0n3zAMQCsYQClrnJLiqEZAoOhd0iSntTX4qpJWInHxVzmp2Cea 24PFXQoGIwN+jkWOtdZZnbFKgiOVLRqkhZp/ZOrmm4KNHXliCwZq/MEuB2icrlr1zN2sxk1kYWe2 DsYqAAKZ/OEZUU9tcURMYyaxWzGatpZCC+JhL0sudpRvikTWq4Z/WAsFYYC86yB6diifwCJ8QOkD c3E6KK/dnJc0LEcY/8SJB11lu+IBe0Fj20ZDQWFim6VJPErWQqFcdV9ivC0exxv9lg8lS10yNQJa DqL4M0UBDA0QmAwTERtXZzDk3TLOKVOn3HWnqCqHNZsK1l45fkEoAcQL4pXr8YVdORbC6Gv8K4TF 4sgcbQLDr6KaG7c+6xDHK2bkwC3nFhnOfl8GG+M8TMZYF6px1muwZmOPsB0EEI5T7NP+GNlujb7X NZxHG6NHsqKthQQia899z5e/gg2Iko9k1L4snUQWi8qhWl8oXu5hsMfOUanj+PmE3PEBUXAKUyHU S0tQE3YL1travSuQd1yFx8HvFD3xtQJatN8ruJwZ0RlroSap6j7kW6tQNCPbNZaD/WTNZTAZ5+Hg aPJy394YHC/uFddOl1p/ofKeB9WkwPFGLmyPXZa5szPWSq/FkcJFZmpJSfOqfSyNsdQir/4X1BgI pyV+KwSzOjrqYIHaNil2XT7ciAN/FD4FO1iW86cxMkYaETEdg7HdAk1Paa5WBW0tPKyFPkhRUfJt 1Zyj1i0vi1SK47SPg+Hp5yqvWsGFD2HdnlzclVvBPi623YPiglPINxjWbqVK8n5NZq/BnKfF0VEW 3iw157bmFdYUUNpYrrLXUroOqQ2gcHJGNFrdQTt5RXAvE9yq8fnjXL71gsjVlLJqrhb/FISyXk+9 bCH6UDEJg3LFSlgUvqIB6V3lXt24IMSRKyB3hoZM8/TzMkVlLhmvXDgJQStD8nmmpqC/DL+GCueP ZXfjVMR0bHrT1oJEFLU1/hLtXbaNCrYpkKuivxuovmoPr1yxGRt2ZN+85B2yhTJW5KhkNZNvHCur IfsE2C/kVzyTzg61u4U1KmKNjcsR/y0xis4O2dJ8rQlw61blpbfc84j/sei677ZR0cNCQDxDR3sR G1NpMGxr6v61hamJVbFkuWaHWLpjNS984zzUfyukV2kNi7bmGdRuzstaCsvtUPvLlA6w5nw1nEJh I2l86uu+1VUx7Z9y/IL2FmOXBNzLYNHSo9geLdvCZRdu+X8p/+LuUcdUgEp/I0M8chhWXx/dGKqs dR/HZDUz/3X19YitFgIFv2p8Ie55+P+46BMf/dBHLpo4U0EQtiqRpHhRRbnzle9cUFDdgk1ZY/ON VILJGJLpo0596KkPf8R//Xh3oY5AQVWjEiwOkg995KIPv/vtE5dJEARh0/LE3/+TRz3q0ZXJqala zbe9gNepWIIgCHOKn4SgsG4VkVfVyF1NEFkVBEEYBjk3RuQNJiD4VaVNQxAEYSTITbCpSqEpILap IAjC6FQmjbJDcYd3nxIEQRCq+FFmZZvUq6q4AARBEEahOPOhH67gPAB1veUFQRCEDhQHU1hbtTBu Em7c5TqXSxAEYc6I2v2B3DINHoChw0QFQRCEZry8lkYFiKQKgiCMRFk183kARE8FQRBGoeQCcF9S uGarfGLveM0aQRAEoZnCXLGW1GpokiT5vH1EqjxfwMgsLy/HX1dWVrrEHxptkmKMlHhcnimVTRCE ucaty1cRy9QulJqkgxCklEqSZJLMSjK0vLy8vLw8JVVqkbySMk6vDIIgbEFcb1VSyGf4JiJKFSki GiwsBMeqUkkssnNKSW1XVlZK5nN3RIsFQaiilCIipZwN6sSVKFVKEamFhcUQNUmSNO1zJGtJlbrU ypvilMLD1y52aEs6teGlwNgb0GVf0WJB2NwopRRRGtXs7QqoynoABguL4UepJJ3MVo0r3aVNQaFq Rao9TjU8NkW7F69j+u0HOPa+giBsDpRS1mGqkiRJEpUkbn5VpRQpGkS2qkqSZJiteuGFF1YDTz/9 9PC5JKwt5moT7XHmSLxqz5UgCHPHzp079+zZE74S5R4Av0YMCJTauazSNM37ACilOrRW7dy5sxQS 52dpainqoolzpJvtVE+UIAhzxwUXXFAKUYoUUZKU1gLwPauCwxWAAqlqZ4E6qjJqmc2uSBvVB6Dp LAmCMNcQKdsTtRJq5whUKvzUzG49HWodrx3jDN231u8pCILQJ+RaqBwAAGXXAVBxeHWswIjEFf9q Dyc0+1vb49SGt7R6jZRONXzsQx51X0EQ5pHSEFS7DrdfCyCs0W23TS6rrdX/FiUdunuXfcdOp0v6 Ld7heNRDU3kEQdhMUMNaANECgSGirGM1IrPpShYEYXpYpayIKqXOrQrK+wBULFthKHZIQrBSRV4F YdNjJ1YJtqrrW0VhzipVtFZFVkdHlFQQthS28h9rp/2Uhs2FqKKqgiAIrfjZVYqtUmQ9ANY1wLmL VTRVEAShHTfqv9IPNXVTVTHgRNV6C0RXBUEQ2gijVEukDIDBMACBicCTr7EqI983nNKA5Spb6hoN PRvC+rBr164Nyfe8886bTsLOB5B/961VzGA2xoYwwG4C1om47LLLJkxBGJtzzjmnS7Qtco06ng1h fTj//PPXOcczzjhjSikTAK5W6yllZjCMMQQwFAjgxJge1gZ8y1veMnkiwjXXXDNS/HPPPbd75Lm7 RlM9G4IwGg1tUNavyibTRAQyAJgTZr3OxRNauMMd7tAxZnVanc2HnA1hxkmZmRnGaABEYJAxbLTZ 6IIJBcQtGCNnQ5gdqtZqymCAraqCCQRmY4yoqiAI08W283Bz23jcENQSbdZIbXM/B08qg5mNeAAE ocg01iUbdfqIqS7wvp7F6DLOKNZc2zN0XoTVjq1itu5V+99965Pad07pTVV9cdW+ylpeX0NffUI7 LZepRPeLUo023r4by3ouxr4VCFq50QWZCqlvxyLbR6Cmn8DEdHnn1CrseEkJ49F+bktvu3hr9+s7 aqbC+jDJ60Fma6ti56yCUorhTdR1H1tVNWHGeJXlM8fIkzk6pUvAzB1Pfscdu1zQObpqpbl0qwuY x8uqt+we71KbTm38Kh0XVK+dAjgUtWlrUy6CxalmFJLCr1vFYGa2A1Y7rlvVC1JtH4mWVQ/6Zewr sp6Xct3ORjzT40jpx2tVtC+OGYe3xx+aV/d0qsk27VIKb0lhC8H+J0yjAgBQ1i6lJFFJopJUqZRI 9btuVVy/Q91T19dzyLab2KamehNvgtu6uOrPCKzn2VhZWamuo1O7PNqsXZGmhX9mrZxzBwNMbH9g fwMAp1ZUra1KVuCIlOrTAzDUd9a9zm4rmNXHrxSyuZ0Ace1y3R6M0hnu9/RO4ldd57Mxqv04C8xL OecP27DPvqnfdaGCsvNUKaUSpRSpRCWKqLwW63QLNpoLlT3TLNSsE6+EuD5wBGas9XYdzkbLOo9d FrgUOjJfkzvbx8GY/MeGp8EZwHa1KubG0a3TLFwv7b9zdD0mZ9pP79iXY0MqCqJlQ5mRvq7dKVVM Z9CQsgUyccEYzJwy55utFeLdr+tbvm7C2tLhsaXrjzCU0vkfqeow3o7zRWldMlRW251EXKoejPGW QeslnaZdqmdgcoY2scz4I2yMM1ZDiC1uaj8ag3wQQN+q2vGd00VYZ//1Nb90P7elKzXJRZmjCzqq YnZZ8HzCBd7H3qW9J0Bf68ZvepgNM+vC+H5m5tRqqCmYrBNOWl2bfU2K472punQhmOWHc5bpeMKr gd0bGzsGzhfiUd2aGAYz4nlTbfOVW2El78UN8DRkVRA2KSKpWxdmBhsujkhlv8Yq5yGFr4IgtDML ejoLZejI9GbmX3+a1DKtbpjC5CrCRMjsyzFyNuaXqa0ftTH4vqpF/fRzViF0pbINuetZMqEdWSMk Rs6GMGNQdeqLgqrGfZMmzOqcc84ZdYkhoZbpLWY3j9dIlvYTZgmrk8RcmJDK+1V7rfPv3Lmzz+SE KSDXSBB6JJZQp6qxaTp5/V+WFZp95BoJwuTUjkNN840A3Cws61YkQRCEOYbJrvZXoDCLijT9C4Ig jEpJOdP4C9VGEQRBEGrhGg+As1XJTwCwCYYPCoIgrBtBMvO1AOwfE/VoFQRBELpTGgvgPQDFuTJE XwVBEMYj9WtZ6SCkjET8AIIgCEOhqDkqDARI7eTVRhu/CTBgNnUpCIIgCDlMhW6pltSapVpr2DkA AWZjjKiqIAjCMLiwZrUltQta6WwNvhOAMcYYvSElFARBmCPIrklVHAiQMhtmk2Wrvo2KjdFGi6oK giAMIcz2H4+wSo0xYM5WV13138AYrXW2QYUUBEGYGyj8jhwBKRvDzNnavjBZtdFiqwqCIAzHtlY5 Rc1VlQ0zZ9av6tewEr+qIAjCcOLWKt8JwPYBYDbGL0IMsGEj/VUFQRCGQHWLASjA96gqjFgVVRUE QehEadhUCgBESiXMTFZMiUAyx6ogCMIwCN5QzT0BKZEiQpIkYWVVIqVUskFlFARBmCesbsY9VlNS BFLpYAHOA8AqSZJkuKrKAsKCIGx1ovlV8/6qSikiGiwsBueAUolK0roEcmQtOUEQBFCwVaN5AIgU EaWDBWuoAlBKqWG2qqwlJwiCgFxXg4MVKSlFRMlgEPoBKKUSNcRWFQRBEBgwlVmrUiICKE0StxYA g0hRohqTEQRBEAAww3edIhCFUQC2Y4CihAEQGwZstwBBEAShFTsDABHi7v6+pq9ADAYp6asqCILQ Ca+kxRWqUjsrANnuVt7rKsoqCIIwFAKsbsaSmUbb8niiqYIgCMNggInLqwGkVmsJzLncMsk8AIIg CK24yVXd7KrwWooUAIGUb79isHcHCIIgCI2QnzSF/PSq9oP3ANieVBxvEgRBEJohAohs7/94hRUi N+2KXdOKvQALgiAILRCBABXGVDktRWolVNl1AjjYtCKrgiAIbVgzVZH9DDjXKqXe4RrWXgluV0EQ BKGRYKK6vqheWEPPKmJiAsDWSyC6KgiC0A5RNBI1eFb9eH9iytdgFQRBEEYgDAcAkHqrlVx/Vemo KgiCMAIUOVUBQgq3WvXGFUkQBGGu4fAL4OBXtaOpWExVQRCETrCdPJULQ1Y5n7MKds6qftyqy8vL pZCVlZU+Em7LbpIsSgUeO6nJSyIIwrzAhsFWVCN7lCNVLY6o6sFmDeKyvLy8vLw8s1pTksIupY13 ESUVhK2JNmwMZ5mB960ywzC7PgAEtvOv8BQ8rLH6bG5WVlZEXgVhi5BpNozVjNc0r2VmLTPMzMzB VnXt/9HYqykSK2wsQ7XhXSIPTbwpkSqlrdUdQ0i8yZq3VRu2S8nHKKQgCBtOlhmteXVNh3kAmKEN h/6qeZ1/2j1Wg/TUilQpvGPkoYkHqmoVYlYj16YWUohzbxLBHksuCMJMsZppbczefdneVb13n75t nzbMxnDqplYhCt0AQMOnAbjwwgurgaeffnr3ArWrxoSWWlPiLdqHSFhbzNX1oVSA2rMtCMI6s3Pn zj179oSvq2sm07x3NdiqZJi14RRuiRWC7QZAdoKV4Qbrzp07SyFxfkOZag13vMRjbY1TWJ/KuHUg BAWPM62eakEQ1pkLLrigFLK6ZrQ2+1Y1nKiCDbRmN7uKIuVWX4WfiLUDI8nozDI7jfhN/RA2x3kW hE3GWma04X1rmkB2pVX2HgA3j1XQ0d7XAmiRraZNvShdv3I5bfGdHXEXBKELWhvfsyp3oLqeVURQ igKdHKsdWPagKBZNTsza8I6RhybeQrxLlyLF4aXPXeix5IIgbCDaMDOMZmNYaxgDZjC71QDdRNW2 GwBNvBjAUEVobzWaJPKoiQzd2iWX2p4ALZ7Z2q5UQwspCMJMwWH4fzRmlRnOA+AXWBGmjpiigrA5 iHujRgP+OcxanSNzVk+VlrZ+QRDmCWbXtM+2OYqt1erHVvn2KfZfhekhSioIm4EwrWpuikYrV8PP Vy1yKghCLxx00EEbXYTReNaznvWKV7xipF3iRijytmnFAyD1f0EQeuKaa67Z6CJ05eKLLx51Fyup isLwKSeeKQqma/xXEARhUg444ICNLsJUIRWWV/XUtFbNC7t27droIgjClua8887b6CJsMLazv523 OvTzz1dYcczVEivnn3/+RhdBELYoZ5xxxkYXYYPxHgD4AauO3FaV1n9BEISRsLYqwhorwa9qW6gI 0g1AEIQpUjuwe447GhIIUMouCkihpT/yq8aLrwqCIEyH0roYQ5eJm1nsxCkKxJQLJ+X9VaewXNU6 E88IU119y6/VxdXIpb1KMZtSaIk5RrGrycZFWp/w2sKMl44gbAXI26qmsEC1HbEaPRF9Vf+bTP0p rU4ay4F9gXR5zsfQgo4pd0mntgBNB7I+4e3l7JKOIIxNyxpxGCYaTRPINa0X14/s+P6qAOIZVpxf NX6m+pgF0LE+hn1JoZg5aEQv5mQ1u82nIO3aKgg9MnSqttqZNquOgpb1kKp7DU1tDOwkAEoBxgtq eRTAujDqkYxnz06uekFfuidVWyMu2XSoE/0uNBVj1COddvxAR2O8lNGU3CzCTNHuVx06aWd1lyaV aDJpe4QARYAi5lxI13sUwNB1ASx9GbklA7ZkZrZ4BpvqtrXpYMQacRDWMWrQ3d2+46XTV/yh+4oP QZgG7XPC9Vx7tp2miJRvmAoeAA5fuBh7croLZZN9PlUfQo+P8frUoLtLalD/kdIZNd8WWl5jNqT2 jJX2EkNVaCJoS9X8bFr/rXfsgtS2u2ouo0Dq+6+6QAYIxD3J6nj1/RmnSbCqFfx+GdVKberwsJ5W aseUxZ8rdKe90buLz7C/dnImsO0JwFScXQUAFS3Yjepo1ddbZf2rk9O2quax4h+ngM7iXnppiaG6 +ei4sNB487s37TWN2eIJTESpArOzTu1AgNSbpRy5GGmjVHU8aquNllKVsy//Xb/mVY8FC2xU3bl6 wsPX7kUq7ShsGkZdPm6kVeNG2qsXCEzESQIwMQNkH2SkTmbZxJEZpjGl6TNGn9bxDJyqU6+6qaXx vdTYVesWGBpebSVrOZCm5rVq+HjpNDFq+l1o9/wKwuyTKCiigQouU7JdAlLnVC2oqoLR61y+ye3z 2gd7jA5J3Xep7TYweRmmeiDt8jf0GEdNv9SANmHigjBTpAmUwiBF6FVlu6+mXk9jGU2YJ1XVMUz3 MVacFgRB2CgWUkoUFgaxyxGJ8rYqFRr9GRvqAZgeM2sBzWzBBEFoYjBAomhxoEJTvyIkilL/NHP4 VXGzCoIgjMMYi0HNEQupUooWBiqEEJFKKIwCsKME7Ab0Ngxgyshs5IIwszzrWc/a6CJMl8FAKUWD NHgAyHsAOBioAZ6LCqmsmSMIs8yoq0DPHWlCipAmka0KKCI3u0qxgwvNi60qCIKwUSSKiCixqurm rCKyqgqUBlPNh60qCIKwgZBSRKRUmK7azbiaMphLbdAsTdKCIAhDIP+TfweQz67CbiJrNyTASB8A QRCEDhAhKCoBhDSeli0YqKKqgiAI7bg6fXlWEEqZGQx2HVTJRjJ6vUesCoIgzBdeNkuzgnCwVRFm WQUgqioIgtCOMYbBTlLDEitc6q/qP2rxAAiCILSitQb7DlSREyDNG/tzzyqzjFgVBEFoRWcZR/1Q yTdZpcWeqq7/v4jqXLBr166+kpKBamPT41XY9Gyy2yzLNJjZGChF0Vz/YRRAIbbYqvPC+eefP3ki Mp3ChPRyFTY9m+820zqzjf3knatgMNjPYVWelF1GAQiCILRhtHE6CuSayVCRLzXfIEOrBEEQ2jFs EBr6I81U+ZyqkeDKiFVBEIQhuPlTI7WMV66Ga8BiJghzR+1qgxtSkq1M+1WoXTW2y7KM3ZeAFNYZ 6zelHBee+pmq7TKB5OetnlRcm9ZG7bhm6oYz7XJOI/2ZerQ6rvk+1dxHWqZ3cpokr2kd2dKy3rVL lzfF6bKvMG1IEcjOWlXQ1dTarNoY5wVgMDMpMVn7Z17eKJNTOlK7eu7YGjfqLn1J6tj7lszSWAdj RAfnHaWUnZnKMAhMxvkCUvuWW8uycA8YNkqplrS6E56l8LWXZDcxW0d55wu5LkKVJEm1MataK0Ok 2NUYiFIi2ru2dsWPfxq6CAwGqUqS9SlWrLNN+ttXOIrWU238kcrZUsmtbgoh8ZsmBPbyuAZraNaM oOrxlkzXpmgxpTd0NWYpwXhTe3ZD0xnp6tT6T4fGH2kX+Ok8ZvaKbxGSJNlz621X/eRalSRJkiil Dj1wf7vICmVaX7vnpmtXbvr5L2669hc337pvLUl7U9XauzwOWVlZqX0eeg8fmm/7ITTF75hv+FwK LO1bLW13mLmpsrnOhINqevGUqudNFyI+Gy0++trKfnXfke6f0r6TXJd2xrtqQbtn5IpvTZIkuXXf 6nV7bg4/mTawHgACJYNB6FxFSiVqnWxVDBO1plu5KlijuhemHX89mUFTpSSstdex/cJNtbrdbvYK QhesfarSRCkFlbfxp7ZrwMCpKgAkSvXlV7U139gQq7VHhu7VHo7Ivuj+bIz60IpPbQxiba09gWNc uEkK03T/VL+Ox6jVf2GuIUVKqSRJS12rUtsxI0nSMDyASFFPqjo2sYstfiBrw6UlYdYe5o5XZP0v XNN9tSE0XbVZu5pCE4oU+eUAYyeMU08iRZQQKZBCtArL5LT4xWJiI6Lqj2sPn4RR05xGGSZPP+63 CHkgG+hybtfz3uty1ZriyBWfBdwgACiQihcGdKrKTMxkmJiJeZ3mAWhyvU0Y3pT+0HxHLWfH+NXw 9t3HgyOmkf5IxGeg6WKh+UQ1pdaSCya4jkPDOx41ouajjpuqV62qkk1Xdqau+NaEnZIqMDErZmXX U7GjAIihXMcqZnBhYOt41DZ/o3Lrd2mM6iW8VuBa6FLOLsfVlG/H8zO/tBzI0OOtdbV3z2Ua99u6 XReRyHmCCCCmBACY7VeAUiuuzAmzYQYbNgyzKS7tRvlbxc8rCFsDBSg3mwqxdwKQs1UNEmYyRhtD zDBmM6hqe5vv5stXEIT1RYEU1CAKiVQVlDIyw6yNMcybQ1WxcYq2bvluvvnV5xG5ClsTogSUkFpw Pf399FVBVRMGG2O0hjHQm0VVNzebbBWgOUWuwtZFKSKlkmCrBg+Am/wvYWjD0NoYY4wWVRUEQWiD KCGVqHQhDgJRSnDjAJjJGNbaGMPG6A0rqSAIwjxg6/tKFeb+J+tXtcLKgDFGa81GGyNrrAqCILRB ZD0AYdYUcrZq/p2ZmY3Wxki/YkEQhCF4W7U8F1UaxqcywxhjuwAwi60qCILQCrkVVvIAgMJqgGHY v9VTsVUFQRA6QcXPFNZYzWcGkOlvBUEQhkPud1lWc7+q9xEoxGuwCoIgCLVQ9DsizARova6JShJF StEGz68qCIIwp6TWgCVSdlLrdDBQKqF1XGFlE7Br166NLkLPyHih7my+qz89tsh9lTobVlGSJEma poMFu17gBpdr3jj//PM3ugi9IaPaR2UzXf3psXXuK+tXddX/NB2wMUmSbRZKRwAAIABJREFUqDQd sp8gCIJQRwrbauVllZlVkiSJqKogCMI4+P6q5BYLBCAeAEEQhLHJRwGQXa7atltJa9W4xJ3S4sEU 0w4XZpDapfq6XEG5W+aaMAqACEopO/GqUhOvXN20ysgkq49Me+WSydOPnyLb/zd8nmr4rFG7gt66 zeRdWmpwPbMONPX47nIFt9rdsvmI5rAiAhQptl1XN7BM6/kkyBpT02NDzmpfkjrhjRHrmrDVSN1S AOHyExGp6d0N86hf3R8wsQU2JfLqFUYi9wAgDGilKb5jSzdoXFUsLb++vLzcfh9X90XrCtXVTbV5 9bKKX61DTWi53Bh2sUZKLd4ULm6XvEa9CQWhinItVW7+VVKKiAjrUnMJCltbX+siqaV9A9XwUvxS FqXA0r6lvYYikmpZjihtKl3xLhermnh13/iCli5ux7xqb8IuNwBFDD0zwuYmJd8BIATZKQPXuRyT OL9mCpHUQNM1LYWv/0VsakSdBLniQsD5VePpVKyxug552zr4JDXuWaudiaSOwfpcxPabbdZuJGGu cStXFxr987lWp07szRQfljBVZvlmk/fxZiIfWxWC7IpW65B3X02rs9aPtdr1mpljj1t4ePoK3wTM wkWcRifrEl2uoNwtcwNHvyO8iUoU/fRmqy4XKW0N7QO1TQTtrq6mfTvGr4aPcFTNcIXaTU27TBI+ jwy9AVquy4Q3QFNeI92EQ6m9TC23R3ucHsOFqeJbq/pOt2NLRcdo3fetbeIvfW3qtdO070xVFeeC 7pd1aMyhwtoSOMnNhoYbQxAC3lTlYhinbP9uTKnWD+nILQjCVCiLKrbKjH+T9zcQBEEowgDHtqq1 UL2qxm4Xpk1pu05VSbfOPOfrzFy8/+Tqb1HY62qRrWKrTpUtshqPUItcfaGErKUqCILQJ4XZVfzn 9RsFIAiCMK+4HlRluZxWzypBEIStABU/U5gHoCi3IrOCIAhDoTB/ahzg5wEoyqhoqiAIQjvkfpdl VVqrBEEQ+iS0VhWDxVgVBEFoh6LfEWKrCoIg9ImoqiAIQp9sobFVu3bt6ispGU4jBC688MKNLsJW Z+fOnXv27NnoUuRsIVUFcP7550+eiAz6FkpcdtllG12Ercs555yz0UUos7VUVRCmxFve8paNLsJm 4Jprrhkp/rnnnjulkkyCqKogCDPEHe5wh44xL7jggqmWZGxEVQVBmC1mykk6Blu3D0C8UJogCEJf TNdWjRcdal+JKF58LZ6oeBoro4iYTpuRLrEgbDKmqKrx81Ndgb0kneu5Prtdb1K0ddps4CVuZ9rK Xl26vD28JRFZG3UemZYHoHYd4Onl1dfS04LQztCbLahh6eXdFC5sPtavtaoXYa11KQhzR+2yjE0X d9Tw2oxQdEHYD6UQNPuput9sYl0K89RaFezf0sMQQoR5oXoRmy7uqOExtXFK9af2dNb/ZiNPU3hp ExVpitxl9y7h68xyHRtYno5sWM+qsW2B8eIL689Il7hFHFtS6P6Mtefe+7MaxGgk0zX2pcZyVgon ojhOi0uhNlrT7kPD1x+74HwpZENKMhIbpqpjnB17imsrj8IMMuoFCmZjqUrectGHKnXHG6b3e2ka kjSq2VjKt2n39mQ33KER3w/z8sivnwegF3NgxdNXgsKM0NIuP8lF30w3DEf0uHs1PH4lzEKrmr18 8yKpmJ6q1nrBxtsrbkBocp/N+wMjNNHl4vZ1Y0yS1yYj1tnZEdZ5YYq2atxTFZ3PS8te4yXYxNjv fGEalC5uU3i1randyG3fd2g6Y9xs07bvJky/afdq09bYWQjT9au23Ouj7jVJgsI60/EKdnSSjho+ 6r4j3W9DM2XmWJXianVteMu+o6bZV5G6FFVoQWZXEYSeaZKhLvI06r4hPNbWauSxkxXGYJ76qwqC ECNV9dlka9mqMo2/0JG5cCtJVX022UKqKotNCZuPzaekMzsXdXe2kKoKgjDjzOaKKaMiqioIk3LO OeeMuuCSUMsMLu03BqKqgjARO3fu3OgiCLOFqKogTMS8L7Ik9I70rBIEQegTUVVBEIQ+EVUVBEHo E1FVQRCEPhFVFQRB6BNRVUEQhD7xPatKw9422yg4QRCEvuHod0QKMMBc2EIiqoIgCO14UeViGKdg r6s18QVBEIQmGOCCeDLASGtElUVUBUEQhlEvqt6vGs8nxuIBEARBGIY3Sct6mUYRSpEFQRCEFrhW LdOwURAEQRiB4AEoLnPjVHWMtW82wZTdgiAI40MAobpyWBptL8ZtReaUFARBAFBVS2+rRno7XFNl TklBELY8BCIQudb9XDVTq6E0mqkqCIKw5XEegLJJmkJkVRAEYRysrJYDZHYVQRCEPhFVFQRB6BNR VUEQhD5JmcFcHXQlwwIEQRDasQNWo+H+DObaeQCYKgNbBUEQhAINJmk+a7XMAyAIgjASlUmrANTO WSWiKgiCMBwnqmW5lNYqQRCEPhFVFQRB6JOaeQBkaJUgCMJwKiNWLb61SkasCoIgjEb9VIB1c1bV zRgoCIIgxJCftKoUntZtEFtVEARhKFT2nhKIkPoZq6gUVxAEQRhKddIq6QMgCIIwDk3WZ1q/fWJj dXl5Of66srISh4evvdCUZqkMoSRx/GmURxCELQFFvyPSSsQeKEnV8vLy8vLyRimXKKYgCOvJVFS1 hVnQuFkogyAIm5X1UNVYxapmbDVmk/egtGlscWyp9feSviAIWxnfWsXRDyadXSWIY61nMxDUrVa/ QnhIpBS/PfE4l8DQmGOkLwjCFqVBJ1M3QWBh2hUaKqoXXnhhNfD0008Pn0vC2ovdN57YjZp1bfq1 xysIwpZi586de/bsGRotdRYqm6CkzKo6Y2BtBqWQan6xtvYirEGjp2dI1pazerCCIGwpLrjggnJQ Q1+p1Iqq1joEMVN1xsBammR7St2VNrAXVJcXlCAIAsK6VTrLQhAbxWw2sEyzgPRjFQRhPJxfNcvW QpAxqTETqaqtoQ9tT69GGzXZfimlL5IqCMIYpMyG2WSrq4BzExizMKGqolmSSuG1XaziOE3xx8hr 7PQFQRC6kzIzM2druaqyMTyxqnZBatmCIGw+vKpma2FSVWOMWZelq6XGLQjC5sONrTJG2xmtCFS7 FuuUECUVBGGToQCvoszgMFhAlq4WBEEYhxRwC1pRviSALLEiCIIwJnYtACRJYpUVIFJUXYlFEARB 6IJdt4rSwQBw5qpSiZI1AgRBEMYiJVJEKh0seFWFUoqUqKogCMI4pNajmg4WXPs/iJRSoqqCIAhj kdq1VtN04CQVUNSPrdoy+XTvzOyAgtqC1Q4kq47EHWle7Y0N36gz37Q02RiJrM8hVNdMixkvHKNf tdryNIUIo+Js1SQNiwL001o1U0tXjc0kd1jTfAWl56p0Wtrzatp3o8JnhJIojFS89ZfUQF8vuTm9 apsYJ6ZKqTBZoHOvCt1oeixlQYGtRrtAt9wJTTuOGi7MCCkBRChW+fvvrzpeFXhonC53cMd6dEtI 6eXfnvVQNvHD0JdXocfCtNdtS5e4y11RLfk0Cj8jdPRKCSUUyOlq+EHjFNcjUFphJSbc3LXWXAjv EqdWiNvTbypndZe4GC3JxgUeiSaXa+1Jm02qXsLq+Rk1vC+asqvGaQrvWPJ4r/bXfMsLfmMN1eWI OHwlosfsNj3enVrS0T5M1ZKw1orU9OiS/hhF6qvYQ/0Gc+0Fa9KC7vFHoslyXBlr+p6WetVmpcUM jwPn94ZcZ6a+cnWtTISLNL1bdtQ7oGORermx2u2mOaVdwqZ6dCVRiO+0cEE30GMz75I07+WfIo1r rNZunnhylTGqPBvIehZpBg+/L+K35ozY2lXn+IaXpBq4sdX/djbx7To5XPiTM3VbdWOZ0j1R60/s Mc0u4RtOqWBdyrnOx1i6TJMI6yRHN7R+PbPM7L03UzAYxfZ9t8YqF/SWJp8HcKV56arqplFp95SN 4U1rKlIItw77MZx0TVTPTJf0m+JsVPg0yjYhQ7PrnlHHkm840z7DtU+xkMMAmCl8YbfGamWp6h7m V225AE2P5dDPHUOGXvsuaXYpydC8umfUMf0u5VzP8GmnOUaOI2U36p1WCh9VcWbkarZEGHrDCzlW OpntXP8+wHsAYlVlpvVaCkAQBGFe8dP9l+UytFZxIbKsBSAMQwwZYatjNTXU/j01tuosi6o8ycJM ITfkFocBwJR0VWb8EwRBGB+36F+EqKogCML4+ClUc5wHoDD1H/UwYrW230lpoMvs94ZrauFtafmt PaguLcVj5DXVfdHhAs1amSdJUxDGwEtqQUG9rRrPr9KLrAIAVor0kmaVMToPdtklaEr8DmgPr02z Kf4kea3Dvr2fn43at0uagjAOVFigOlisNbYqTXPh6hm0FPoymbs8tDN4+LU0HUuXc9VuYHY/A/Ny roQtjF1M1YprHpp6kY11tDdbtUrLozVe1S82SapaUNtbO06t5dGdhad6jI7lvac/L2ymYxHmAvK2 alBVK6ep1dDS5P99aWp3f1bJ31qrd7VxWny1telUow19GnsxZiccONilDJOUs+O+3ROvHUA59r4j Mfv+emGzEOmpU00CaLqzq4x6Z3f3eTWl3F4NH+NJ690/sNww7Xz3MrQY43FSK52Hq09DhtpfkJPs 235cIqnCOlNdj2qKs1aPwVCHXfw4DfXfTd4uMb1HdFTDrSSXQ+OUYracinmUoabjmsdjEeYXqvkE zF1/1RUPRpywcgxm4RGdkYr/XLCZjkWYJyo26CyqaksXpWl0i5lSshvONI6rY4+r3i9fvO9mvV7C pmFWZq3uUrtvirPSPAvq0Ow6+jTjHDs6Ino5tKYy9FvOLul3L3Mvl3KMfZuOZdTrJQhdafCUTktV 21uTauNM0ouo3e1YGzi0bbqlPKNuGvvQJjknXXYf6shuDxnp1E1730nOgyD0yCx6AARBEOYXUVVB EIQ+EVUVBEHoE1FVQRCEPhFVFQRB6BNRVUEQhD4RVRUEQegTUVVBEIQ+EVUVBEHoE1FVQRCEPhFV FQRB6BNRVUEQhD4RVRUEQegTUVVBEIQ+EVUVBEHoE1FVQRCEPhFVFQRB6BNRVUEQhLHg+uDxV1i5 4IILxt5XEARhszKmqu7cubPfcgiCIMwZ/a4GuGfPnvGLIgiCsHkRv6ogCEKfiKoKgiD0iaiqIAhC n4iqCoIg9ImoqiAIQp+IqgqCIPSJ71lVHCTADWMGBEEQhHZSgAFmK6ts/1PjUCxBEAShlZQZzGD7 nxkAG8VGVFUQBGEcnAeAtWYwG2Zmwymz2dhiCYIgzCmptVK10WyMMYbZsCZj9EYXTBAEYS5JbcVf Z2tGG2O0MVrrVGtRVUEQhHFImZmZs7U1ozOttc4yrRd1lk2S6PLycilkZWVlkgS7ZDdJFqUCT7W0 giBsblJmZnCWrelsTWdZlq1pvd+EqmoJ2rS8vLy8vDyzUlUS5bi0XfR6ck0XBGEzoZxfNVvL1tbW Vvetre4zWhvdg6oGYoUSBEHY3KSA9atmOst0tpatrRqtjZluH4BYYWMrrza8S+ShiTclUqW6S8l0 jaOV4sR2a9UE7lgAQRDmGmU7pjK7piqjNbMx0+xZFeSmKkzV8I6RhyYeqCpaiNnkXS2pZK1odvQS iNkuCJuHpnWrKN/MzMzGWJ9Ae2oXXnhhNfD000/vXp52ZZnQmmtKvCnZkrDWRutLEEuJ155JQRBm kJ07d3ZZBsWNAiAiAgEE8j8dMiiFjLTsylRrweMlHmtrbQpBc0fVVrtL2CtOXFYAE4S5oGb906Z1 q4gIRKQUKaVUolRCVmM7sDlWr+rYiD9hW39Tj4jNcQ4FQQikABGgkiRJUpNqY1KllFJJj3m06FHT pl66K81On6fZKYkgCFMhcpoqIiKiRCVJmibpIB0sqCRJkh5UddmDoqA0OTFrwztGHpp4C/EuTbl0 ybHfUgmCMB8w/JR/DDCYUxAAIqVUkqQ8AEipRE2mqkNVo73VaJLIoyYydGv1fTB5HEEQNgG2UZ+Z 3Ud2c6qG1iqlVIKEQEolSb8eAEEQhM2InUDVuDlUmQEFZj8TIGClNSFSSiklK68IgiC0YadO1Tpz 6srMnDI4tRNWG53lXVS79awSBEHYytjBU9namuvrz4Z50U5Qzcy8trbmOlQRBeerIAiC0IQx2hiz trovF1XDzCZlw2zM2r59ZHutkjJmuiNWBUEQNgFaa62z1X177ahUO+u/MSY1bJh5395biZQdC6B1 1stMgIIgCJsYOynVvr23sTGGjRNWY1Jmw8as7t1LSpEiIqV11u9MgIIgCJsPrbXRenXvbbGkMud+ 1X1EyjoBjNZGVlgRBEFoxWittV5d3WfF1BhjHayuD4DOMiICKSKyorvRBRYEQZhpmDUbrbPMK6ph MLMdBeCGW4HcKIFh8wB2oHZWp9K8zu37Tm9dk43adxKGzqVgGToFeEv47CDjeoW5wI6kcqMAoglU UzsLoEoSIjcToPUE9JKrPBjTpjr/QNO8BO3hgiCMip/vL2FmJsNsA5BaDV1YWHQ9/4mUSqY3tqr7 dCfrg5hFgiCMB1FCpNJ0EIZWERGRSm2HqoWlbXAGKiVJmiTplMpRXdkpUFriqcuKT7XzQHep+XYv am2+7XGajqtj2UYqcy9Tz1TpxaswycnpUhhB2FiSJEnSZLC45PymDNuTSimlFNHStu1LS9sXt21f 2rY9SdMk7UdVlyOa4rSv5hQUtkmIS+FN8Uvh1RRGyneqZRta5lpGnal2qKN2wvJPeHKGFkYQNhw7 LfXi0rbFpe2LS9sXt21XShElqe1Ntbi0HQQQEShJB33Zqv1aFt1T6+vZa09nkue8SebGo0dJnbCc U7UlxVAVZookTZMkXdy2PUwEaCenSm3jVLqwYFuriChJJp1ftUdWmld8at+rr9zbIwR56qKJ7ccy dpl7l9QplXM8xrsBBGEdSJJUJenC4iLg5/1TRIpSa6IqldiBVdbbSrM0E2DskpupNusxWrp6P5Yp Wakzdc5nqjCCELBL/Q0GiyGESBGpNJ+hisl2rIL9NxtM0kbfZd++4qxneabNJOXsvfyzcEIEoRa7 imrcCmUXrEpt79UsW1NKESe2O2sf4wD6YdQKYFP8Ungv+banObQMo4a3EMeJizpqeC/ltOETXrih hRGEDcfW96v+UjsTIK+t7rPLVqtEGbPEZtJ5AJru/ji8y+empEaN3yWdMeJPuPvY4dNLsMdkp3rh BGEGcG1R+Xdnq7JhNqt799rlqlSitN6uJ1ZVQRCEzY0fOFUOdzMB7tt7m0oSpZRSiZ00cP2LKAiC sAlI7YJWa6urfkiA0jrTMr/qBEiNVRC2MikABmu9RkYZIiKS+VUFQRDGJmXY2azAbGzfKjut9UYX TBAEYS5Jyc/+F62rOivdqgRBEOaO1PYFSNOBG8kKO5nVrIwCEARBmC9Sq6GDhUXArQRgu1htdMEE QRDmktQurLq4tC2srpIkaTIzs6sIgiDMF6ntULWwtM0uCwhGj/OrCoIgbDXsTIBqYXEJAMBgqGmu BSAIgrC5ydet8gutukkDN7hcgiAI80lKdqbqwSAE2UkDN7BMgiAI80tqV1/1VX6Gnd5KelYJgiCM RUoAAfFS1XY5gA0skyAIwvzibNWScSqWqiAIwnj4VqmSjoqsCoIgjIXU9AVBEPpEVFUQBKFPRFUF QRD6RFRVEAShT0RVBUEQ+kRUVRAEoU9EVQVBEPpEVFUQBKFPRFUFQRD6RFRVEAShT/yI1dKyqrLK qiAIwlikdl1VRpi0GgCxyKogCMJYpGAwg42BFVVmZsUsqioIgjAOqZVPY4xdYxUMNsRGVFUQBGEc UoDBrLMsrFxtjDJGb3TBBEEQ5pLULledZatsmO1/kxotqioIgjAOKZiZOVtdNcYwG2OMzha1zja6 YIIgCLNNg6M0ZWZmXlvdZ4wxRhtjtN6vi616wQUX9FxEQRCE+cf5VbO1Vf3/2jubXllys44/j8vn 3Dshc6eBkdAoQgksiTRSRJiswgKEIAikkRCC3ZVY3g1hPdkRaVYZVvMBZkNCUKQseFmgIWJWfIVs w41EpIzSFxRyb3eVHxYuV7vrxW27XN3Vff6/OfdMH7fLb1X1r8ePXbZprKga0zSn/KpPnz49T/kA AGClTOxE1dqqdb03TlXFGDvRKsCLFy/KFxEAAK6f9o1VczBUjdXZyxYLAACuFKuqQnayKrH7AQAA kINdB4CJFTMpJcTMipXCqisAAJBDu7qKUpWwIhIlpFTFqrpssQAA4ErRxMzMlXaLVxGrqqoqqCoA AOSgmYiItb4jZiJm5gqqCgAAubS2qr67tx+YWalKVfr0oQAAAAZoplZVme1HVqrCaBUAAOShiZmY 9N2dZ6sqhqoCAEAWmpmYuKp0p6qsmBlTVgEAIAdNxMSsKs1MRJ0bAKoKAAA52DkApJQiJm7fqsLr VQAAkInt+BOrVk87WZ3DZrPphWy323lJns5uZhZ+mRctLQDgtrGjUsztD1ERWSUioq2DxnR2VXS6 HF/azWaTXak5xwIAVo4b619yWZWVC2vP1F15aQEAK+cys/2nutuj4TGRTyae3cH3Nbf73KW22Wz8 P0czDR8bXxIAwFVwgXmpU93t0fDIyCcT7ygiZD3DtvscY+eOHgsAuD6m9q3KS+373//+MPDdd9+N TyFSevKYSnydQjbamACAtfH06dOYbVDyPQDDrauStl1ZVODWqZ5TYBMwANbPyP6nU/tWzckGu1cV Ac0IwC1xDr9qYD7p1ByjInOPIhOZ8tjOzB0A8DBZUFU3DhqM6pAnecMpTX54ZOSTiYcJHHUyo159 kwoZUzYAwHWxyMyqk1o2FWE0PClyaiIxESIzKlJ4AMC1o9rdVWVylgAAAIB4lBCJtFtXQ1sBAGAm rQdARJhIDstWgQTQnQcAdCixRqpYgxWmKgAAzEJbRbXa6ixVmKsAAJCJtnIqRkhRt74qAACAPBSJ eNaqwAMAAABzUNKO/LtfAAAAZqAwlwoAAAqy1KrVUy+MXu9b9lNLU/e+Gl2yephOOPzMG38BAAqi 7AgVExPmqk7jL4Yds9h2Ea5o4y8AQEe7tyq5vQDL6mpPC1YuDYEFtGhsyZWZeQX+7AFhBeCK0HZz VWYmf4/Vc5G0gdXMcBp0z4fx40GXHAAwSmurOl0tn0Gvpzz8Kr5PPTP8ZL7DmDHkrT04LCcA4DbQ xOysVebldq+eJm8Dq9ElUAvmG3OUn6+vrTBjAXjIaPuKaiuppcerttut76zcDjZ5pjHdHB4VDqex faFjypZQk+Oj5luXMS0DALhGlPOmWkFdyySAqeHv8Cj8JUoKAABHKLJSat0AVF5Xe9uNTOEbboGx +OIGXUy+Cw3BR7YM4bEBwFWh7eA/U7tm1TlJ7elHhk+lfzLfpKL2Pk+lNjUJIYb5ExUAAOdH0zKL /03N7uypQ+q2TtnhMeoWVq5AyZNSi2kZaCgA18s5dq6+FEt4DAAAIMwtq2r2TFIAAMhmqdVVVgKU FABwZm7ZVgUAgPMDVQUAgJJAVQEAoCRQVQAAKAlUFQAASgJVBQCAkkBVAQCgJFBVAAAoCVQVAABK AlUFAICSQFUBAKAkUFUAACgJVBUAAEoCVQUAgJJAVQEAoCRQVQAAKAlUFQAASgJVBQCAkiy1w8ro NnzZ+51kbzzlHzi6hXVeeXrppybblWpYr17IzM2rR9stJs2TccINm1faYda91AKXwWWbdKr8Z246 sBKW3beqd3FvNptzXjGB3arL7r06s1JTzdK7/ZJab6qCMWnm5Vv2XF9Rk85P/7K3CSjOFXsAwhtT n/xqVRduksrH7Mi93W5HKzgVfnucrUlT44Cb52J7rI52lALWZe/Aq7h2Z3Y2V0hZG39mGa6rSdfQ dOA8XEZVwx2lQAfKP/Ckb6vzsk2lUIrAE2JYl2EBbDnj+30F3cFT9qxvu03VaCrNIoUMPJDW2aQ+ l206cHGWVdWpyyXgqj+Z2gqvuZiO4dJlSLKLb96vWoTsrgb8qg+ci41WBczJyASnWIn4Tll8MZHz sss+9iZBk4JLcZnRqmzhi79JRu+oMwvu1kHphjkA4Eq5pjkAPXmaskS2Hmct3zGpsp40xSdbo6eO nWnWXZBVNen1NiMoyPlGq/wBhOzeWeooxHkYdR8neQC6OD1fXmoKkVmE05yKEz5ro42QTSC1tTXp MLvLNh24OEup6knbISnC6OfUcYDIQ5I46S1NPTymwPG1iD88sqFmlieGQGoZZ3wYUrxJ19N0YCVc kwcAAADWz8XeAniYwDYpDpoUrA3YqgAAUBKoKgAAlASqCgAAJVnQr7rEfJHUafwrec8qhtGi9mYF RYaPvrE2Gi0mr0Bpp7IIfBs+MDLHmKYIFHUYbWqu1RVdP2A9LLtqtX+brW2S6XoIT2McvlQ+FT4k IB+ReYXpqdtmbJWcjAPjixdT7CkJHibeSwGSCvLAHIDzMXWXBoy44pwzrwzCTbRQ4vMjA+BzJlUN PP8Dndbh4f4ho+mMxh9lNP7wPZxenJijMgpzca6ikGcDkgrmsOC7Vd0reklXZ0zPbk6n2HIy/uif kUdNRSt1l24j1j/1Q5KyzjDo/IJNfRuZYMxZ86NNNcXUsVMvOPnXKiQVzGRBW9WXle7Pnvfqslfw lHUc+Q5i+KikY6cS9CWjI/4RkuonTT0d2X7VsByHs5vzNA2n7CeY8UACwLK4B2D+Fb8cC5Un3oCK Scp+SPWEZmR6zidc6mjVeRiaq+spG7gilpqvOmpkWUZt2Btj66AVDw353PC5oLja3XYLgHOCtwDK r4k5lWBqRknxe6JQvFLn4SJNR5BUUJRzjFZ1Ib1vKfc6HnauUzvdeZ30yKNKeQCm0olJP68MU+cr Jv7wkEjnaUxHe05TnGR4KW5zx1oBoDOMVuXFj/kck93M+MM4kbm6uOp5AAARuklEQVRkjFwlHRLT tkl1n3OyZmZNxyqZmmbeeUxNAYB4rmzfKgAAWDkXeLcKkroEaE8AVoJTVTkOlkHEcuD+BwDcMJpI iESOdJSXFFUAALhltAiJkMgZjVUAALhdWg+Ar6oi3NfYdEZnCy7x0uTFWWGBpyZIpU6cQpoAZNDO ARBjuh9ruxZJfetBEW8ZrVChro6uDXttPhWONAEoi/Or+rbqBYsDBqztSbNESUqluZ5WAg8ZTUIk JGIOYdIbvFqEYY/MtyyGNkV3wwQOnIpGEZ3Bkz3EyPeIYnqd6KUCcMMo6YzVDirmAZhitEfWe8Hm ZK8tJlpkZzC+hzgzo4zwLuTibBxXkSbhyQQuxMR81UIkvScek8KcpBZKJJx4OM3hbT+/DNuJVVnn 09Uo/M7+TaYJQDzdu1WLyGqve7uJXtU4KU58tDMk4tNZTL2ufWBBkLIVwbAMAOfHzaw6DsWA1XwC nVBf9WBPAXBjtHMAjhypclZZjXGBRbrJUr1po/GXdsml1rdIpR4ID7nuYD2081WNEeOPVi0gq0ON CI8qxMSJjxaOH59IdkYnC5xakaQKzkz/IacJQCrtzCpjGiJiGyYyeIE1mXDPNyZCZJyMvCKTHSWc e6STNCk8QwJS80WaABREC4mINE1NTlWNfcMKAABAOtp2+Zv9vgsSY4xAVQEAIAdt+/v7/a4Lakxj muaCZVon6EICAGLQIkIiTb23vlQRMU1j3awAAABS0XbYv673bvxfDGxVAADIRRMRiZimse5UMWIa YwqNVvXeKZqf1JxEAq/P9l6CGv0qslTD15lGj51qmaQWG05rjc86tSUDc3t7eQVaILJ2pUq4wnlU M4sUOMuBlOMv74wbtuB8c8q9pNeGtgtWi7E0xhiRMqo6nJp6wRYZXj2B8sQUdfSUdyRN8t8cr9E1 p8V6N0yRNp+qabi0w3xjahduVWCZb6CcfNzGXDwxJ2v+CV3ikl4abSemymHVKiMlVq0eTsOe2b5n bsqTJy/wOE3i/JdInlKfp6al8lotK1GEJG2asjRjTtbNn9BRvJ2redmcTvZze4Gjf4a7KvH9l5Vc 3HnMvEYDnayraJZh+eO7lj5JlY2/3s55GQfKeRWnsuNaZXfC+GxVlVsUszAz8YISe7KjcfINpdQU yF3QAedgr/c6s68Rc3Hn3QBhx1OeSi7hpZmq3dK3/dT9GfZ9x6TZa6WLXMbD8o8eMuVW6uIkneul BXqJS/qyaCufzEop+4GZFSu1XJbhTkHkhRWfwjDfeAMnmxidGsbZzl4a9ZxOqHBpw/7W5cp2Uj1n nn3fqTWVxTD9gpdx+Kvb4yr9qq2OVpWIYiUioipVLamqNBiUzCOvcSPv6myBm3nKR7uBq6VIp/Wc lH2gXvAynsn85zcI0KpnVWmt77S+u7u7V6pSVVU8p+4UnsFUHM0d19ADZyFJLZIauCWU9adWVlLv 7+/u71VVKTVXVXv9o+UUbaZcBu6NvBtmqjwx5bwu6U+t6ZyWmc/UiU7NfaHSLpcszb68V9JEV4S2 qqrv7piYmIi4KmSrbie2EiniPRxNOf6QpKOKly2yZWKO7dELX9p3nFSLjLMWk28SqRfAaI4FneB5 DRI4yxk3xfzyzGQ9l3QpNDETs9Z3xMxExMxKKS7jVw0P1IQDU0dUA9nFfDsVJyPNjNpFZpea6cnD pz7PzHTOeT9Zkrx0Rg8JmHJ5OQ4Dy17GM4ewTjZ1kdtquRO6UqQ/LVUzWQ+AJierSi07BwCAlXA1 9y1YJVPvSmliZmKlKqup1nTlJeerrgrcV+CGweV9ETQTEZNSiqj1rD4UQQUAgAXQ1FqoTk65NVcv WywAALhStNVRK6OQUgAAmIlbB+BYUefLa+Toavwg7NmYmnyTGj4nzV6E0VmWgewCZdgOFvhYmuGM md5c5l544PBwhN63qdUMN/WwDCu8dC8IWsPHjfWz93MuFjoTc2YRdkUafYshPnxOmhllnjNr8jxs PWLCLSebyL+E/G/LSqpfwvU39cW5igtyUXSrpZ4j9SEMWZ3z0bpELjAKAsBuOj9obR/t3KreBNXS E6tG+1C+yTa0AiI7g4GQ+GSHZVsbw05urztP6fUd7TiPHju0BzMaNo+MZE9Kasw1E1+e1GaMD09N Z6pgU8dmF2A0fPSCnDpwnXdZBlMyqZyp6hGKn0+vD9W1bC8wpp8VOCQy2akuZ0fx0991izLSDDRL ZH2HWRf0SMTUaOOIDB9GG81o9JY+Kanha2Y0/akSpjZjfHheOoFjUxPM81wFGvNmGYilG61SR7bq mmdWjepImFQvzxJPVP/+tJ+3C6/Gdp7LOjKXYfXD4T7h09GzuXxzqUgL9IT1ZJqpz6Slybhf4uOH W2N7vDz2jRmqAVox7RmrKxbVI+Iv9I5SaRYhvlTxCVK0AXgepipY9nSMmqsFWyDJhF+tfKQWbLUV WQsTOqmthh57Uq9jtGqJU34Dl5FvuwUMwKsgVVIvVYDzFGYmF5HU7YXWwbosD2gVFf/sLm3KxeS1 RBlG0zzPfZ5azVLNsloVWwmLXurr6RKtirWoaqr3anjIMDwv2S7+8Bk7TCcm/TnH+uU5mX52fZPK mUqp6kc+MMIuvGwnad4h4ZhJ6cw/leGCxZ/3kwXruUoe4PiVJqH2pyjDCz38efhnOM3wIYFc4g+c c0hk1TKqfDL9pDTnlNMPDN/52cnmtU/4qNRDMq6xpHqVSiem2KXin7wTH46AjqJbURVzCBNFUlpl wU3zwO8iEOABumjamVXiyaiQSHHbFVyOB3VBg1Vx45I6IZPamqrGHGxVEQVRBeCBsKjk3ayeBmn9 qmJ8D4AIPAAAAJBF51c98gCUH70CAICHwYhf1TpWAQAAZKBpZGoVbFUAAMhkLW8BAADAbXC0bxWR NVKvYx0AAAC4PNLXS7dmVRdw9n1WAADgGpnyk2r3wRqrcKcCAMAs+n5VyCoAAMzB22PVB+IKAABZ OFUV90uIBDOrAAAgk4MHQOxLVXgDAAAAZtDzq0JSAQBgFq2qCkxVAAAogWrfT7UuVWndq5BWAADI o5uv2q6vEq+nH3300RIFAgCAq2DqZSm3vqp0vf8oWX369GmxogEAwPUyEFdtRTR1meoXL16UKRAA ANwWCuNTAACQw4QLwM4BEBHB5H8AAJgP1lcFAICS2DkAzIy1/wAAoACKsJgqAACUQzMxEVlbFe9W AQDATJTbYIXtwtVwBQAAwBy60Sorp0x0tIsVAACAJJTbDZCOhBUAAEAW7ToATCwsJMxcwK/6xhtv zE/kWnj27Nn7779/6VIAANZCt7qKJ6wl0n3+/HmJZNbOxx9/fOkiAADWhfY+C5F1AJTZuvr111+f nwgAAFwX3WgVZlQBAEABWls1eglAAAAAIbTbC+CgqUJYZgUAADJxtiocAAAAkIR4vz2O9gLooq5Q YzebzTBwu92evyQAAECTonqwVc1x5PXJKhEdy+hms9lsNhBWAMAlOTJJhUS02P/7flUsXw0AACdp tfNgkgopOcxX7anotYmq9Q9Yu3X4uQOGLQCgFEOT1PIg9gLYbrejIgsAAPkIiZDxsO5TffrINQHb EwCwEsQO9BvjB5GQdmtW+a+orncpQIxWAQDWggwGpYiESNt3/v3FqteqqAAAsCJkOC2ViA4rAfZs VayyCgAAUcjxZznssNKxYgfAEaMj/hiPAgCcl74ZOmKrrlNRR/2nfmBeBAAAyIR9ReUuaGy0iq/E WAUAgMvB3m+fww4rw9gAAABO0dfLK5uvCgAA62JghKrDFzBQAQBgNv46ANLuCCAjb7YCAACIofMA iIh7AavE+qrYfBQA8DDp1lclESMtho6WW03m2bNnJcoGAADXh1VVp6amEWNE7o2Zparvv/9+kcIB AMDVoZ1L1RjTmKYxpjHGmHm2KgAAPCCOXabaBomV1aYxTf1yV7/zO1/+q7/+hvW1MilSxKyYmBXb f8yqfVGAT7ww4PbEFg8jxhhjbKY2GhMRk2LFVaVYKaWYDy/STiYu4laNsUk27tlgHw1HjwcmIpey UopVpZRSVaWU8irVz+0wjOfVZNCcwxKKaxp/7ZpQY7kxQr+VRMR0eR9g+x8rZmKlXEOR+wcAGNLd wmO0U/aT7p6vvPPOvvE0wqFtLtZUNaZpmua/f/bz3/uDP/ra1/5YxLTi0KGUYsVOhtztfaIqti5W 99rfrQKao6UJyQpdpaqqUhUrp3QqpKqdCpmmbprGNE3TWtyNMUaapqttq0PKCqtSVVVVXV5Vm5Pq v1fWami7Mk2bF7VBx6Xh41PmFNo9GKwSTtTFDhUasf/ENpSr3egRXeO4h4ETVsgqAEO6G+lIW9n/ f+/XSfYNffrz5nhLKiES/eQxf/cf/v433vnTT//X2nnNj3/68r9+8sKZfsYZdJVSSus7fXdX6Tut 75RSrJTV2alCtNaWiBhT1/v9flfvdvv9rt7v9vvdfrer9zsi6oysu/vH948e3z9+/OjR40rfVVrr Slda2wiH2roqtCU2jWma3auXu1e/ePXy5auXv9jvXrmfnYh0pmKltb67s7W4v398//jx/aPX7h89 bitV6UrfeVmxexLY/zdWtY1pDtpqf3PvPAgJ8aHdKmsW2zZ0yspOhdvHjjGmaWrjHgz2c2OadhMH L/VWqtvngrYPBmU/VFVntGICMgDu9hIhIuMG5AfmDx2sH6IRW/FYd46Sd+FCT15T3/3Ot588Yv32 229/8K0P/unjP/vp//yf65s3xvvdHUMiRiljlDKViBFhEmGRybvXTdSySdV1Xe93u07vWlV95WrF zCxCzGS12tbTsFIiTCQjOiGHf3KQPtPUTV039b6u9/V+J20JmdutZNsmVaqqat3o2pjGmEoZI5V7 5ggTU2cGt01R13VdN82+qWvruDh+RvFxw4tSVaV1Vemq0iIVVZUzX1m8mog789JVwTR22NCYRppm YBK3VVYkhpipodYMNyJKRIiZhYgF73WAh07bq3Q3mXWrmW7/voNjjpnF61x6HVEb5szcUR+CE+7P //L9sw++9YXP/Zp+4403aiM/+Jfvvf3VP/nhj3fSTVxtt7py+11J2zs9zL8S4W5DbBlVvHYUrLXz 6v1+t9vvXr16+QtrtFqLtatV62OolKq0qrR1NShViQgRM8mYsFKrqa7VXIaN+9U4O4+JiRpmpZhr Zm50Z3sacQ+xQ5rCbZKu/HVT1/Wu3u/r/V6kaS3I7pCDudqGVJU2phFtRKQie8qMKEUsLHxQPSH/ nHcNdvALd+X3WrYNYmMMEzMrw8YoZYgUiRCTYIEcAA46ZO+uw4iOH+fYe9b1bI//yVGCXgbWpqMv vPno3//5H+tGnjx5ot96663f/+pXvvHee3/7TfndP3z3h8+3P/nZjomkXXWV2Fcy6Va/dtrrF//Y ADsYkE3TNLW1HHevXu5evaz3u3pvbcm9t7qrUtW+2mut902t66pSTSVVIyLOij3VfH3L/mhjA/YL JVZJ2959q4/ucO7qIIcqWBO4rvf1/pUxh2eLdwqOCmiq7uRxa3QrZZ9RfdWTzhPQpdr6Va1zdfxs khg2zCyixAiptjjMR6cCgAdNZ/14d5cdzvG6mZ6V6sKovaH7/crenShCm89Uv/nm4x/86/e+8d57 X/zSl9566y3+8MMPP/300+fPn//bf/znXUVf//rf/Plf/KWTA3E36CFLf2DE5XtiYNtKsHT2V/us kIOtd8iiHUliN1jfjlm1dRsxVJ28i3hDYb3mO9Crw2Hw7TDm03eQSv+EiHF+meAbaN3TzzfEvfR7 PgDycnH1Onaw95Lv1abLb5A+AA8Z8X4d/jv69njMKpXvfufbf/fBB7WRz/3SZ379t7/8+V99nT/6 6KPtdvvixYsf/ehHn3zyyY7uu9vaP9LTcqfsEaoqIuRcBp2kGtO49A+ZtE8F2+vngbAehqr6jgaX zKH77Kmq6Y/zeFOd3Jh/kqqatjaHEyNjhqEbjvJG51NU9eDPoN414B95eL6yL+FQVQA8eqp6mCaZ AodtqM/e02tvvvmFR082X/ytz//KZ/8f+gl+6to3oygAAAAASUVORK5CYII= --001a11411d96628194052cf82fe9--