Return-Path: X-Spam-DCC: paranoid 1290; Body=3 Fuz1=3 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 u21BiO1F010922 for ; Tue, 1 Mar 2016 12:44:25 +0100 Received: from majordom by post.thorcom.com with local (Exim 4.14) id 1aaieb-0004cc-67 for rs_out_1@blacksheep.org; Tue, 01 Mar 2016 11:39:49 +0000 Received: from [195.171.43.32] (helo=relay1.thorcom.net) by post.thorcom.com with esmtp (Exim 4.14) id 1aaiea-0004cT-DH for rsgb_lf_group@blacksheep.org; Tue, 01 Mar 2016 11:39:48 +0000 Received: from mail-lf0-x231.google.com ([2a00:1450:4010:c07::231]) by relay1.thorcom.net with esmtps (TLSv1.2:ECDHE-RSA-AES128-GCM-SHA256:128) (Exim 4.86) (envelope-from ) id 1aaieX-0007LI-W6 for rsgb_lf_group@blacksheep.org; Tue, 01 Mar 2016 11:39:47 +0000 Received: by mail-lf0-x231.google.com with SMTP id j78so111160981lfb.1 for ; Tue, 01 Mar 2016 03:39:44 -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=JWvzwkw3W8nd0HeUHJmuU1uVuOUU80GEwtYzJonf1HA=; b=zAFjvhQ9jxVVze+G+M451koCIdzwv+/sCfFr5nYoiW1yzH/GklPaZ+ihuz3+k75tmX L0ARP/R32CPhR34ZTHu5CLif/Nq60lMj+hqDhla27/oXf4122XPG/ywFYchfdkxzAFdu OvThQ50c7bw8f39GEQRtutRisCCKHl7lNQdUUjTfioDvYzToihpeCBloMYxyqJ2wjhRN ug15qMHLITaOanQqo0anlqR+3EEVwHqg4v+chMwazsKEdSw1qLcDiTfMN7jRXrgiFM8n WvjHHqJ0fiAj/SxEC+bz2b1W93BGWQpolKZn766s2F2RQU0V4z9fTI3bSIMI7QUue+EB e3YA== 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=JWvzwkw3W8nd0HeUHJmuU1uVuOUU80GEwtYzJonf1HA=; b=WABQJtgcw7yYGkj3YIxfh+pV/MJd/51b0VxwTb76fvq6wZ7FuycIx+v1EJDmbUtpi5 1r9ZJCaHwpwYePHeZUXfk44psGdvBrudeMdOv+4hYGXvVS0Nlw+eyE69eJuZLrmPY3yN pwD3yOxTZljrsGjNCa+wGSQcvyFTE8VCepaQlIzv+R/QTxeLGdBjO8DuMfhApefl8AlH oIVGIalgVLapOFiX9RtmFnH0mbuFhk5PWWtjTOxvwH2B8YLhwC70h530UjMfZ7g4ja03 QIp759bW/5Roe2RS+OjAR7JtDxM7khIFQSD4cGclIeqYP2Gcv8T5msyihJHF4ZLf4y9L psUw== X-Gm-Message-State: AD7BkJJ++WGJVn/RnxYFPME2lxicMvQHpni0Erg6s03TeYHLccR/8Q7WsI63dp46RuR3MHZwT3alQuulRr8t1A== MIME-Version: 1.0 X-Received: by 10.25.162.144 with SMTP id l138mr8152674lfe.32.1456832383164; Tue, 01 Mar 2016 03:39:43 -0800 (PST) Received: by 10.25.155.193 with HTTP; Tue, 1 Mar 2016 03:39:42 -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 12:39:42 +0100 Message-ID: From: Domenico IZ7SLZ To: "rsgb_lf_group@blacksheep.org" X-Scan-Signature: 24cad278b7138ea8e80df4144ba4c9d9 Subject: Re: LF: MF: EbNaut Content-Type: multipart/mixed; boundary=001a11411d96b24654052cfb3830 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: 7151 --001a11411d96b24654052cfb3830 Content-Type: multipart/alternative; boundary=001a11411d96b2464d052cfb382e --001a11411d96b2464d052cfb382e Content-Type: text/plain; charset=UTF-8 Dear friends, in the Paul's 21.15 decode (screenshot of my previous mail) i made a mistake in entering the time offsets. I wrongly used comma instead of dot to separate decimal value. So decode for 21.15 gives now better results. BTW seems there was about 20 milliseconds difference between my and Paul's clock as shown in the second screenshot. 73, Domenico iz7slz On 1 March 2016 at 09:02, Domenico IZ7SLZ wrote: > 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 >>> -- >>> >>> >>> >> > --001a11411d96b2464d052cfb382e Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable
Dear friends,

in the Paul'= s 21.15 decode (screenshot of my previous mail)=C2=A0 i made a mistake in e= ntering the time offsets. I wrongly used comma instead of dot to separate d= ecimal value.
So decode for 21.15 gives now better results. BTW se= ems there was about 20 milliseconds difference between my and Paul's cl= ock as shown in the second screenshot.

73, Domenico iz7slz
=

On 1 Ma= rch 2016 at 09:02, Domenico IZ7SLZ <iz7slz.domenico@gmail.com&= gt; wrote:
<= div>
Hi Paul,

for your analisys, in this folder ther= e are .wav files recordered during the EbNaut test of yesterday night:
<= br>https://www.dropbox.com/sh/9c3nnw40nyb5pq= c/AABZ6oPxpAY4IwuWFmebMSfba?dl=3D0

These are available als= o to whom wants to try EbNaut-rx program playing with offsets as shown in t= he attached screenshot. So everybody can download and use them.

73 all

Domenico, iz7slz
=





=

On 1 March 2016 at 00:43, Domeni= co IZ7SLZ <iz7slz.domenico@gmail.com> wrote:
<= div>
Hi Paul,
again congratulations becouse i = got some more better decodes.
Here the=C2=A0 results by playing on= ly with nominals time & frequency offsets:

UT=C2=A0=C2=A0 = Eb/N0 sym=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<= br>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 c= ompletly the EbNaut signal but, i'm shure that , by making some changes= in the freq. offsets,=C2=A0 it will be possible to get=C2=A0 also the=C2= =A0 failed decodes.

For further analisys, you can download my = FFT's=C2=A0 files from dropbox
https:= //www.dropbox.com/sh/zu0k37z95ft1xfw/AAAgwsWDdfHVxTByuT8CyY_2a?dl=3D0
Receiving conditions: 7m vertical whip, RX JRC NRD-92M wit= h GPS disciplinated OCXO, soundcard calibrated with 1_pps from same GPS.

All the best
Domenico, iz7slz<= /span>



=
On 1 March 2016 at 00:07, Paul Nicholson <vlf= 0403@abelian.org> wrote:

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
--





--001a11411d96b2464d052cfb382e-- --001a11411d96b24654052cfb3830 Content-Type: image/png; name="Screenshot 2016-03-01 12.25.03.png" Content-Disposition: attachment; filename="Screenshot 2016-03-01 12.25.03.png" Content-Transfer-Encoding: base64 X-Attachment-Id: f_il9c6izm1 iVBORw0KGgoAAAANSUhEUgAAAccAAAKACAIAAABmKySsAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAg AElEQVR4nOy9eZxtRXnv/Xuq1tp9+gzQynCOyjVxZFA0M6+IYsAJBUQxksHk3DdewPjq58YElYtT LjEIDjF+zGsUYhKcktxERfTGqNEIOARzX41BUdQgKkZm+zCf7r3qef+oYdUa99pT7727ny+H7t21 a9WqtarWr556qlYVoYjSCSYAEQFEREQgUkopRaTsB6W00loppZNE6UTrROuEbBRSRAoAqJIkA+D8 R/Q/wgEUH0dNP9pw6XEl/dIpqC2p2lwyx0c1ZHdMmpMb/7ra7j9VD6fSoQMy3VDeLQdT/BVXvmu7 GbXUnqfhwDGKrVItBp26W72dEFT7V0tdQl11KlaortRX0cFFWanKzTmPMjwo82h7Fiqc8KQnPOCB Bx26e88BBxywc9euXEN1kh5wwAEve9nLfvu3f7trYs0QubyRB0REVjmtwpJSWilF9mcehxCuK4ft j/CL43B/zrpPhXSoElI8CXPNH1zKDJVTqBGQQsEVE+KOD0zlUWvXpnJ+Kpkq3Dx3C6l0o0Kp1eeI OfwIqTLnNyS6M75GtulilOEWUeVSaPEJ44bEK4XkDyj8js5V+kQDn6nqvaLCrwYq7RKiGlKba6rW 4Wql7HDq9nxtS+jsF7/4knf/WWusoXnXuy9+8dlnTTDBS37vd8784wlncmT2PvsZf/W/P/2e937g bX/8x32Dpz/1KQ9+8GHr/b5T1bTXe93rXv+kJz35qi988Y8ufFPHRKnwVIZHy1mkipRKtNZJ2usl SS/ppUnS6y1tS5eWekvLvd7yth07ti3vXN6xc2nb9iTtJWkvSVNtjeW8VrOvg2wMG2OyLGNjmJmZ 7S9yFZzyfDiBBkGRU2z7ISRM1afGsLFpwnBmjDGZyTJjDJzFbc1urZU1up01bnPrNQYMZsPGGGMM G5NFP8Otgsuvb0gAJpefXIJjK9y3IuyE0X9mMPmPDFJErLjQPhER+dwwG9PPsiyzP/qk3CURQalE J1oprbW2mbE3it3tZ2bOsn7W72f9fpb1jb9Gw0zK3xGl7Z12bSQDYMPucGYGjL0EImJ/V8kfEy4X gMkMs72HzGD2DYEvaZc3e8u5qK0+UaWUv7++5AsNa0VMmUHhW1+R4pbYfeMv0J0iJooXVy/yasrG GM44M+yuMLP3McRngvJ1w5sh1gaJZZyJyd7WyHrJr01F1ZJAIAaXDYzYeiHg6MN23HLn2h13r995 33p89SF9V2rsa5+r66Fk4/vmSmDHUnLPfnPPGq/esx7fizKuhoVkQ+sdGir3e8e2NFvv337dt+/+ 9jcBaHLfaBeTEwJACtAAyCiA3PMW20tF+yKUP7n6ZcgmCSYYEAMZAJABjLt4ZIztD/1pY7J995vj TnrBac//1cs/9LevefV5p59+OgMJAJ2kr3/9Hxz20Id+4G/+tnLF9ZTMk6hOuX4+aaVVoq2qpmmS pjpJ016apolFJ7bzHwQYSoHAceWA1RuEp8eAjQIbMLOxQcT2zhD70jehEJQCGYaVDUOZYqVIudTJ H+HvKpMBMys2BgyTcZZx1me2qqqYiZQrI2IiVs5WCoJoM88wzAQmMMMQG+YMbNiYULBWWBTBKqCB rfh5+SIS0FAjGIAB+1rBBgxmkI/JBA0v/QBcn4CU8bJusqyf9df7/Wy93++vO01QikjrhA2QaFeW bB9skKvlzIbZZJmxotzP+plP0mS2AOH8PHnXBLmmIqTD7NO2d1Ip5Touyl2kfbqMbdaMyUzRvPY1 0N4k90hzePJdbbRVMDSukWrHxxMKjxuCgOSGe67HtkxiMfWtiVJKaVJM7KuWrU/5KYz7C64pyjJj MmMyd4XGWH1kMIFs0eW9PIJWKpJ3l7xvZjjPrs+tF8PCRdf4ePKGxmeMvcT7ag5bGwjuOcyLE86q McxsD7E5YBDBKCggyJC7rmIVD1UdHImqL9Ng0IcTW8MqM5xlvL4GoA8oQBH6ZDRAIAMognHVC/ZP Lp8sGC9RvXJ3g4xrs/sMMgTfMXOSyqzYX5TpZ1kGAPfs53v2Z0895QxmvujNf/z0pz4lAXDAAQcc d9yThpXUWE/9w+ntHq10orVKk0TrJEnTXpKkOu2lPf8vTdJUp4lKtE40JYq0UgrQBE1cLHbDAFmj jGAIBqzI+NY/tDXBJUDhNrJhUgRjfylW0ICCcmXvfvrjGKxABgYgZkXGKhgbVopJgaDAIDIKRMSK QtfXiqTLigGUYsrYZgVgJigwgylqhEFgJsDaHPZnkIpSnfNX6J4jMMMEOXFtAcAMpUGKtFbGgJRi VsRQyPXJmH4/66+v99f76+trSmnn8lYGYFeWhp0uEJytyu6EmTF9k/Uzk/X7mVUGk2WZ8RKgnGXl 7RVnzxj/2ESGTbCsvCgpUpqiTrHJXPJWcfIHoXhvgmCHpwK+OQkSr0hVTU6nf+6MRVsUoVFwTxiR 70ZYzXO+K62UVtpopVkzlGuPGL7krSDAVVMDEDioamayLOubzNiGKro6a1WSIt+RCI9Y3oMLtd0b dETk9JWUCo8nKS+kdrQieq6KfxLZSsKGTZbBHZk3kAx7fbETKPQWjTUY7BMRbG5Y2yfLfDa5/tyI lK6A8TZFfoBhNv31zGTra/vB0AATnHkDSoBMMYM0kBE0EQADVoVT5ecLddOpNygjEJQhgMkQAMrc I0nG9ZdhP2QA+uts+sFUv+Wu/nNO/9W3vvWtP/z+DQmAl73sZVd+/guVa62naJy6FtuNRvm+sdLa m6OJ1jrtLSVpmqS9NO2lvV6Spt5sTZNUJVolmpSC1tCalIpaU2Kw7b2w8Q0mKRhDRIYBpeFMwNic yy16W8ZKsVFEBFbEylYS93h4W5UBYgYbYmcv2840Q7HrUJGCUlAEa1Zbyzo8cb4zDmJmQ0aDgMwA GshAyvV9ndC4xtuZWe5CQcxM7mHPn/hQH8i4/nNUqdkwZWzAMAxShkjDZKwSUgyGUdCgYIN4aTWZ ybLMMKCYGawYmTKUsVEm93iAAAU2xqt4SCLzRpYzXrPw3LubyrkpmT8utq/hRNX3SJXSTqH8c29N NpdFk2VZFp66/KkIDyPDClluwganjzfVfReq8jR7WzI2f10fKShYLk3+Ogh2pFVro7VRrFmzRhJ3 2IjYGc9OF2ybSgyrWs5atZ6YLMuyrB85OXzNDHZ2Lm4UunDhRkXNcdQIeGlVwRPm+wahtrkD/Edj 2OZo//q6vRG2NXKy7lMtaar1KznvVkETDJHKMp0Z7vezLMvizgSAy/7u77901ZfKJRLxS0/4xWc/ 59SooABCP1VYX8vW1tfvv88ZoYQERM5iBUApYIgSICNWoekEPvj1Gz53w202peN/6uBff8xDP/iN 71/x/dttyJMfetCvPea/ECgjYgKgbPcfrvsPQzAM4/XFAP1+37UZvkLecnf28t/7/T97x9sSpZOT Tz75PX/13pYrDBTsU2ecWhV1Q/vKeuZ0kqQ60alOksSpai9J0zRNddpLUyesaZr0Ep1o2+iTVqQB lVdGXwMAtoa9dXsxKUUMZVxro5A/dIXuhLdPDJRSXlKtqrqa4o5wD5QVNdtMZSCCysCGXA0L1phS ZNNx2SMia2z6Z8IoJkNG2T4IESNjIk3WCeAVxmYxurnWR2ZdrNZiDl9YJSZWDGYmNsxw7axhGBjv DiZtiDU7g50IMIqsSeH74mB29ZGdtjtL2XmEXTbAANm/neHgUrH/TO4SNERk0wy9DIrEP34Mg9D6 +gSltOrbDnRB90wWRDUr2jrloR57vlAzARjvV3X2nnP6FB/rKA9AQXMQ7FSnkSqUgr2eTGttjDGJ YU5cLjJrJLqKxSCvdy51L5rGsDGcOZ9xbrp6TbWNTpAgm3VEj533MBCII1F0Vh0HFfYXr4icmzW/ AxRb/mxNUDtq0e/39+9fcyfLHUTeset9D7YMjKsHrjPhfEZBHBTbAmTmtX5WuvNfuupLf/+3766W RuD5Z5z9tGedVApc7iW8tm76a9n++3xP3DUY2rpTCX2QIuqDrSUbzvu5G24LZ3z+GWdz1r/yxtU4 5AWPONja+gwYIgAZKQD2RN4D4ESWAV5fN/2+vRE2kXvuz57/gl9905vfmgA49NBDTT6WMoCCfeol 1eqp85UqrROdpqkV1yRJ0t5SmqY6TZMkTbykJkmSJjrROtUq0aS1tXaR26rh0fRPua0nCsRMrMiw sUrD1kRl14aEbnKog0SkCF4NmVyFCx2/3JmgFJiJmBTYEBSBWcH1qogI1iAn5XpI3tT0aTjDkwis oIwVaVYKbEhlRIAxRvknCMXaHd1kqJIpwmBjwGT7RU6y7GUTjH1MCARjLe2MDBkyiokz24O3t8fa MoqUVtooUqS0dd+AlG0iQl+VrC8wN4rZttWuv83e2icF5M1E+C94yoIDIA+KbjorZq0NmFgHEwzk VdVkxmQFSY211ZuW3vCFUnnSgIGxjZ5xylTpg0bWaWTu+RhOhpS74Xnr4LpHtga4W2oUs7FtLUNF Pnv4W0awqmrbQus5tONXzDDRfaLQshHsqXLT2dVd30dCKAlmLogvE4NIE5MiJ85ktY9DT8gXlcsi A/vX1u++514AzmXsR0nC7MjoINf7t9Kanzg3V9VyT62t99f6/fvu21/oEXTj3nvviwqbQVju6fX7 7+uvrd1/593Wo0pAX5ECe/+h1VZSgPHeElspnrRnx/PPONvK6N//7bvDZwDPP+PsJx66vX/PXdZm C6pqh6qsnmYgE7kCDGNp7f7+2n72D4StdttSxXa0qpYdO3ZqXXTGILST1s3o7TcgM1mSJqlOtLVO EyenSZKkSep6/YkVUy+vSZImOk10olWilVe9kskSrEgwYNtLJuVrJIUeJphsldeR5wfwsqoiM1P5 FjXyNMBVN2ImBmtmQ8oo0oqYDaC8x8BdcTT6Qf5pddXVeisUkdGsDBmQARmlTMZKWY1lE3z9Vi99 H849GFHeONR7w4bYkMlsinacmBnETARwGEiz9gvDwN0M1zIREzs9ZY2E/ZCIM0O0tqe1bmX2dpAX VVdp3BWTImX7CMEXylYAckkNDlV4szW/19H4k9dspWKjq2CI2ifK2tdE7naF/kz8H6JnO3R3fKuE kNPQy+bQI8jbVw6Btjg4y4iIg9nNBqSUYWMb9LzRsY0cACgD+GbSJcwcxCwy152HwY6ywLdiTv/Y +aWIyI9/EgA7/MrexxDbqyZMCXD3yDU3/uLJC5QBVfzUDGbOsmx9vQ/bTASXN5FSmsgopRDrqgn9 F/aPgrPuFZEdWLLDtP1+v0lNn3/G2aWQIHbr/cy3vb5HYAeQs8ysrRk/VAVFgDH+ueHw03V83f+n H3aAMSYW1pCBJx6y7fSH7DT9vjU7GLarij4BTAYwjL4tO6OC3Zr1M7buKS5dATeq6hOPPfZhD39E oZ/lq4LVkx/ddLtN7+47b//K//ev25a3JUmaaK+raS9JdBLsUjfunyRJorXW2vv6c5mD66Gj0pz5 Dq21tliBWYHZKqD3iUYCy7b77FTVPXGKfE/GdaDciQp6kddBUqSYmOzJXZcsJOY7Zf6OeOsNcANr rODNRiKlyLrj/CNoP9hnnTl6DNhWEXhRQP4sEyu25jNnxMZ6Qg1IaTKcGXYSS8pZ437w098310FT pO2skzA/KPT2oFRu0BEbN/uCgzC69lQppbV1o9hGxl0VmVhjwKxg/YvGOsdzfYl+klJw7SkVrpzs MxHVhsKQh+8oB6st795S6FcUCimUlLXYgiUaxck7Bq5N9ud2+mSLSrk82uLzLYZh1uR6SMYNRLq0 gqybUIfh+kpEmjQr1s7cZ1aanS+I3bSA4Mzxh4CDU8NdtatDxG5GSj5+SLAmHYVIvgWPm6twD4zh vjEAFJNhKGZlmJRSDEXKFPQjNIp5ABHDtgJERGQyk7Fh5n6Wd4XD7d63b5/98HuvPS/Um7e/8aIQ 7kbB/KMNIDPG9NfZZNn6Wt7FUP5b8gXrShbFDjidvmc7suz5Z5z9novd5NEXnfXKYw/qPW/PMvfX Yf1uIPalZpCrqh+tylWVs74xWaiZMY2q+oCVAx975CMr8XOOOvyRAIhw1Rf+hRnaiqW2flWt9V3f fPfvvf1ffewX/elHn3fwV9/4q5856bLXHbtb26n/SimiO678naed+bFn/NU3/+SpD7am3nXv3n4K vvzds492dyv0Hch3gN0AOofqV3xWrWXxjfc//Pg35/m94MM3vvRIQvQMWqciwhlcM2xLhe0Qtgom RqjXIAA3X3n2wz9yxvVvO2FPXmiAOzkIYGdQQFmz8Y4rfvsZ/+0XPvjtsx7hM/vtv9rzW/inL/zm kbdf9eJTX/wxAHjG+y9/24kHe/EOlubtV5556os/9tK/v/H0RxGRIUIGJkOG2DBAUMr03bNguzAK YaomQxExc6YAtu2KBikyxouSDyYnIyZShLhVtVqglDYMBQVipXLHqwk2G1tHRXgGtVMUAHmSdoSD wxt3XgJ8+2WM8p7HQrXzpm+oEt66D4fmacSe81BIroq4w1Re9PkZ8sEcDhIfGe1uDMFNWvYiawcM yRoBxP5SXV8r2Mq+rWdSSoEZto9ATlVR9A35Np/YCnZwFUddmiCsoSXwHSrfr1K2QsN6vqOHhFxz 5+8X/fjWn1z73R+QnZvh5jkopdRXr/zsHTffhGYO2v2gXzzxaS4lP+F2/UEH3XrHnXfsu/u7P/hx 9ZD777/ffvj2DT92jiI2cfh13/uR98e7Mllf333nt75+5w9/+IMvXqkBUpTATuxBoqHBCThVIKIE SABrpcWFe//Sg5EcHE4BYP9N/3nH938UagETMjgN7QN9hmHKQBmob5wfwPrBsOvA1R/9sPZuNKqq VnTD92+57KrvkGJSTJqV5pMe/8g9uw+4++57AOzYueNDn/8egIftAilopQjwk09tVxu/9Mo/+92f PyRN0yTtKXWXcqab63SG2eIAPvlfP3zdj156lO9Xw8+vyuc+WW1T5GY0OxMVAOMb7zzi6bjsxpcc zqGrydbJ9qpP/uS3jiQQvvPnK6cd9q8X/9v7jt+NcBIvqh5n/yB0rjjvjhbdBf5hKxlDkR3gvocy DEVsDjn6N56GD9x+x+8cfrCt1l//6oV4+eWPS7/7rlNfTG/7/M3HHnLtXx/+y2//wtffePxuuNMz A7jln97+4o8BUFonig0RKRDDKM4ME4MMMrYdcDJQIDJQsN5dKPdIk5tFxqQIrFR47YDgnLiuueHi 1dg/rZzY0Q9FRJpYWYvbqigMZyr/i8OzEPXefJrO953bquRsZT+R2BZMSNwUjs8lNTdWowItKCvl IaEXHAopFyZygdHjx/lJOBzv9ZaVk1WtlCbthDX42NndRcqPi97/YGcNuSkPCsScgUjlnmd23Xt3 B3OvXXDi2oKwF2mbTCLngHJWtO2T+abVTgiIiiP0Wtl7Y12HxZ6HCYadM8g6du64+aaBg0vGj7CS H/DP3Msn3LcTO4usr7tXAz7+vr+sDffPsu8R2HxnfRhj1tftpRnfpzPG3gJjZz4aZ3iCo/mq/7j9 oV9JDv6Tt742nOJP3vra3/39P2RjnnHvD0J5Mez8fzgrlWGgDJQpqqrJMm4Yjmp7659I37DvbkpY 9zKVGp2a9fUMXEhI98JrIWEWhsoLEsVXT+CaRJX/CSLg2X94Lr36tEue8p2zH1+wJhFMhdBTcc4u 3z8GQOxmkSgV+/FsX1pppUGgI86+66O06zmXf/3bZz0uTr54we62+rS9BVS0ZODd/oS8x+x+sb3C YACwArEiZqLdj3/Os1/w0W9edNxTDgWDv/mFt+ENf/0Y/R9/8Tq8+oon7UlAjzvpPc/5kw994ycn PPgg+5AyAP72J37tM69+w8v/6DWstEoYmRU/ImZSMIYzO37npvcp2wu0DlcOCu9mKVjvnRdsb4n5 3wUZstfjXWY2klLKMIFZGed/sVOzvMZ6NY0EoaDSnCfrAnzN8LPc4fSOI2pKKiqyeHzJBlH0XV5L SmUIP2Eurgk+w9aGiwo2NzUJoGA7ePsBdu57eLHEtRghH9729bXCThcwREoxjCsucFBzJ9/kvay2 Z2YbQhXbg/n1c7j22H4PDx7lmcotD59BZ4DbfoNOUveQWp+lJutv+MlPftJWEPBTXOMyCC13eIwj rLS9+cJzURcOuyaJYmOYfB1Qdka29fPCuazI9dpBZEDauxPDCd2x/7h82FfSQ9984bk2/Vece6E9 9ZsvPPcV514IhWfed6MvrlCIANlGkQD/0pt9YDivsFVUbSicqxiHHLxEvfV963feev/tN913iz1P aEC3PeD+7Qffk2clKkMKBRyFE0A//Mz5x/3S8U/4ueN+8fe/dHswVR/1rP/5v076g7dccQvimfm3 fuaFjzh02f572WduIsK3Lt7+qIuvsfftuot3PvqSb9C1/+/hTz0XOPc5D971u5+7xU1LcK/7wA5y W+P4yCddhNddcR0AXPOXu5cfZf+9+5pwLhvy6N3vuA6gWz71u3u2H27/nfXJ2+x9veVTv/ug7Yfv WT5izzkfgSsy4msu3bP9iAdtP+JB24+85BoQcO2fHvWQP33vJTsfc9jez9+q/FjZnqNe8NxPf+jr dyittPqPq1+D1z7lSH3b7f+Gpz1yj/WdHPKgY/AP/7HqfM5KKVLXvevX/+iCv37R8QSQ0lrr1S++ +PjHPugpR+854XEPesOXbrcTg73DOrFTMRRp8t0Bm8n8npIvGUSFFUw2Xw2Nm2lTVDQ3FKCcrvh5 dEonKkm095u7YcjETp7rpW4uXS9Je2ma2o5L2rOf/beJ9b3bkUybTuqm3/V6hX/ukDxx77pPkyRN E/dVkqZhvDRx75yk2sdMbeI6TZJU5/8S7Q5JVap1GA1w2UmTNE2Tnk5SrVOVJEr7UgpTjnw33Hmj DdwLgNGNZes1tSalnaSntX2xW2mt3W1MdZLY1xGTNE0Se432LvmvtM9zkuokUdElqCTROvpKa60S pROt7FkSpd1FaVdwaZKmrr+g3B1IkkSrNE3cvEcA97YCQNtnzc88VKSc0eSql0LhH/qtALBvX7rX MdMkSRKlNOuEeqleXqIdS2p5ibYtqeVesn1Jbd9Gy9tp23YsbafedrO0nZa2Yds2LLt/X0kPfeMb zrGJv+LcC3/O3PGKcy+0f77xDed8JT00xMTyNt62jOVlLC2rpWVaXqblbVheUtuX9HKPtvXUcg87 UtVLoDWCeYu8HR6wQtW1N994b3ZvspTpXl9TP9QN2wbteMDdSbKOuw4s+Hp8o0rA1Red9asAgBf9 6SdPfzQAXPGn11x4+b+ev3v1y69+2ssvuuJTb3+azQEd+tQX/8ELnvPaT/3Lnz/TP8I49MT3X3/L +63kHfNrf/eSW15mdSF+UYQe+7LvfhaPPAEfu/mlR0TuAjsc5UozbivppivOPOarH/zed07cA1zz l7t/6S+Pu+/km1547K8f87Gb33+EO/6av3zcafjg97594h7gpivOfNgTL/7ydWfhrx53Gj5w/XUn 7sE33nH4iR8+6Qyf2geu/9YJe4BrLn3QMe897t7fIgCvugj/cu2PjnY2BwGgQx/7wqfvff91f/CM Qw+95svn4xWffBzRzQTrLtMEeKNbe3/oNe9/1nnnfGLfEerr/wfWvcKH/vJffPE6AHTrFb/9nLM+ +sJrz34Y+94O3JTlzM7LMuFmIHdOuFtU8n3k1NmGfmA/GHb2bnpj3g9b5P1LqDyZOlOTw/+hsx6b nBTFKGSHKslR6XfdXxUKb3mWkwh9nUI+oyj2Nrh3nfyMUh89mlYAb/L4nk1IxXk47dsoYO/VUvBe 3+DhKt00+4z5Gp07VfP0XQxvJhb7fZwXmR9ZAnxdICKiJEnStBfWIvDOaTrkwQ/57793fsstPfQh DyGVlO67Uva9GZByI6Thq58+/Mj/8Zq3tCT4U4cfkSSpq1Ta3cUkSThJKE31jp3W86LcIgCsAK0Z ZGDdrEEi/Dl/LrsznPHn9J3P7N2JLIlD0Nue5xwwfiY8MRQrbVzVT/zTRumSUvX6OUBV78c96XJf 9zKd9pOetczDIACOOPihAP7zx7eF+KVn8phzL375zx/c6/USf57jL3r5MQcBOPgJL3olfu17twO7 feQjzvzieQ859vzPXP8SmxRAt3zypY897R98YlHCFH0I/VYiih86W2PyHt6tN12NU3/zoFv+/Z2X 4xOXP+xRPt5JN/37w//mQyd98M1HhMbm6/98AS66/ITdYAZ2H//fL8KJ//ytJ+KNuOijJ+4BgKN+ 5ZJTXvVhgG/+2oc/hn/82MO9HOOZN930W7sBXPSRM48uZJWA3T/z3JNP/8i1tzzp9ivfjAv//ii3 xIjvs+XPgG2avv3nx77ldV/86lHe4U6KiHHrp1/zhF/5rEv0FxVp+zKIfT+ZNZOBn3djtYMZMOzd dPUyV1N28KVQtlf9Ow9Fh0nkZggusGJR1SSNSNwKUX1JNvf+uSXlblD0fxRkPQClbBby4WdU55rs lJjiySDFw0rOeXIeSAaRyttd+EmwPmul0YW8VaMotVg5w+eQt7zZ8gnGb5aGibUE6m1bhsmWlrb5 +bLBb41jnnpKnEx810q+tLhttOOiilSi02IE/Myxv/wzx/5ydFz+7knxlkX1kqF1miY9vdRLD9hJ IBUElOzYFFuRVRoETmDgLWQAJ2PtZNwWnXHnyVh7Nm5Dfq92MpABCdBnlQB9/35VHyDjnHJ9AwUg SdT27VqlDOaCU5R5oKomy+tJ2tdpX6f9JF2PrhUAHvmAhwP4T9yWj1C4ySbRoIT3jXG5ihXuIgPA Y/7vz1z4qBP/7mf/0AZc857Hnoa//t5/nLgH33jHI6IiiM2HUo2nUkCuCjdd+zcfxi+86hD+T+B5 f/7v7z/+0BDpps/9TSQDpUNLgT7vJk/7ee/+t/c9+dDomr5ROHP0ks3uI1/wvPvFjcYAACAASURB VN/5X1+76ufPxeu/9GgQaM8hP49PXX/rm0/YA8ZtN30ZJ7/wga6Ur/ny+QCO/dlgIjzrQP7fX8Cz fwV/ft2XnrLbXPtnTzzVvdnlJ5L5oXZyk0psgRjjrqTWtc4Nd7LD3yGQAPu4useJXSZaiWaK1sXM H88ByQyO0np46XiuPW/NSQp2rhteastTbrcWo/g119jfyjC5zWkvwbaZuaDFLr1C/r1mc0GaYwWk kJA7PLfpaNeuA9n0d25f3r+ehevL3d2V+1E4c90l+3fWk14vjcObiqwirHGbxgSkSYp0KektLx3w gND8JMTOraA4UVCAhiEF7dse3XC6cK68LMgLiAEA5edRKQNjgsVPAPTyzmz5gJUDdoBhjKFCis3z VS3p0pru9ZOkn6TrOukjfggZ6/1+f70PG8oF7OsWVk+Ne2HYGOCKV336O5//jUfzrVe/500456OP Au+z0mXl+Mjnv+fUR77otcD54Jt/9FWcfvpj9zDjW1e9EngTGAc94nT8+ue+edbRR3zjHSe/Djg/ zo4vj5pW76Yrznr4mZdfdPnFRzMOed6pz/1vr/nk5y9+xiHu+z1HnvG8T/zGOc/92vufbKX2qKf8 DxzznHc/5VtnHQ3cdOWfvAp/cPWjD/rPZ+K57/rMr7zthD3fuvjhZ38MzzwDfPDjTzvluWe/9jev eNfTDy4VWGT7+cEZPPAxL3z6x5/3ko/jFZ882nb2Hn3shXjGm6465b3HHXrNJ/Z++GmXvukg/vf3 /dSx+ORdv/H9u37DXcc1H/ipY/kf7vy1gz51Lp578mP2MPDdf/kfwBtz7Q5Nmj8hA8b4Qcxyw5bn qnyz2gzE0hVWPlEuHCPqYY2Z1/3gISnY2nUZaBX28LxT/CoEAL+KWEloqg9wyEIoCO8bcNqaSykX h0biE3A1z9Z09ifINTofgS1dGwH3rJnDjzr6n/7p08869QW37bt3re9miwZLNj+s4Y4UnA0AgF7P vhmk095SHq10VH1iMXlV6PXSZClVvV5v5wEgKBg7d0opaIAICUGB3XodxLAK25x09as+ACjFMCCT IQM03Esg2qAPaJ3ope07/8vDrr3tJz/388ewXUEmjIyCmVtUlWj//vt+6eBHkDJKZUoZpcz+/fcB B7prZbYLYMCLqmH73hD718fx5Te9+Ndt7Cee/95XHw7Gk4+/5qzjjgGAE9/58RceDjdzw2oiM3Y/ +Q0fOeny534CzIc84+2f/fajjl4ON5fBB53wyvNwzCm7XwlcdN75uMBWsKN+5ZJTH37K7led9IHr 337invgiLjhx+wX206kf+fxNTz8knOJxzz3ucvvF8y7+2vuefML7LvufO057vHWsXHTZj1/6W1/7 yFcff8wRrwcAnPKRK896LOOxf/zpi4562sP/EcApF73qlFf9GzNj93Hnf/gZP/vc4z/mUnvnV977 JO9dLAkZAzj08c85GZ/6+IW/eKQf7j3y//nb1517xi/sAoDXffErT9ltcAsDiAc6QmfokKf/0ce/ 83894cA4SWZm41YeBMEYGGPnmLj2qtqHjf2GhfD6qlChLl6hSRufSaXTgXoTk2pDaw/nYix/c7ki M7G2xqocvvVqmWsrCql7jY3aL6+3pWh+dYeiWyw3d/3cDv/j5jvXT33mCa99/evX+uunPOukgx96 WGaKRdraCMZ/x4HL29KDDlw+8qcPrsRqSLGGQm1bXuodcNhPHfaEJynAv0LlJqVauztRJoR0OUc1 Avt5/gCYOWOFDOzGLJiT3m33r/3b9T/48F+86w0f+tQPb78ny/o+KfdiDymdXH/99dWVqk9/3ukn PuWJ9917tys7ldgHPUl7RNT3r2kD+D9fveYTn/jEA1ZW7HtTbhi4l4aBXf/ZrrKaaO3eW03Tnu4t 9dKlJE1Ja600Ka2i12TzWtXlfhe+aDW+Kj399gS4/qs6Sy/qsNSnUFE4LgdyITx2lrghI7uWCpiR GTZuaRUYtmt2uMDMBxrvk7Gma9NFj6ynXQ9cKOo6/KMeGESp7buaYysTxPJPVP4CsU+gEC0MAtYE Fq1Lwo6UH7RLXf6Pn732mq/e8uMbmy6qru2pb48AaBpQQYZtPR/4tX/6iZ/8asck/DsHdhDRvUhm X5rzU6Fc3ELrwkAYd/LBYTXYvO9tV0QyzGxX1DAAdu/ccdRjH/fsN7zj1rvW79lfuMAnHHHoYx73 s/W2KjPfcMP3P3dVzbwrO3XJZFl4deaGG26w67a5QUNjyGQqc+0HEalMEWmiDEqBFClj2JAxGbO2 K1G7N5CgcufmAD1twotU0dHREjnWrUIK1WOtYVhNIRZC+DhUDCvIbKPIMlBZvjp8ZXwG7Kwdw3kk w9Y+tYtM2VdH3ez/3DPi5/gCNdkbULmbjdMNtCk3msKldb1TTbHyKRM1kaPESxU3PsRPdy1mKZge Qb3jggmfXWpUDQwx711Xt9+fPP85z1p+/snlHLbaq11uSVucQcfPoo6F1yUKY0OAn6UBfP+Wu1bv vr/kFLFKXFbV8Oz/y9VfuvKqK0IfE8jnN7rVK7XSWmnSOtHbd+xY7/ddVLuWJyNN7KgVg5RbhsPP dgQpKK0MZ4aV8XPGmVjBcFsJRvkc5g41BOWdoFIcKktoaSJ5LnyRBtcLbrH3VTwQ5dMUc1KNxn7V qPAysgGMe7mWDNi9YBJNbY9ktTDA0lUT6+Jtej2Nqb/M0U1X+0WNf5KKn6j0VclgjQ3V4iHh+SmY peU4FAIjgxf77uvfeV+/bNvGhnOh9x5PCih8m+e3fC1E5Rjli41pH/HsVAhU+qtDlQ/rG7qlKNft xkLGZG6wxK0na9MrFI41b5NicvnzbTvypcBcWIsrATJ4vb9uU8yM0UbbEarMZs8gsztBMTTDGDIg hobKSBtlWFm3IDEMSPuLr3SWO1LpoFc+1n1V1yXO39esPUXJLq7xX0aKyfXpUBwnP6iclIvGTlvJ wHbtyW4/YsguUMaAm2vHocqzu5LSlZYrV7cbvaX0NKbrJbd085uOKCpH6Y8a5S3oWs0YPcVCVvQS lOKUIheSapDjkOFq+rWRo3PVGUuVyNU/a4OGrYGt6mzt9/gB8HtzBCMxy7L+ujGZ8a4BfySFiabO 4ufiaFXNM181CK3LgeDWvHDjUkqxZsNsYDKjdKaUNsxZZrLM9Pv9zHDC3DPGZEhsRxXEpEn3VWK0 NVcJIICgDUCDnDGFTJYyWM1yDMWh4UeLFxVW+yKZK7yH6cPLYgrksfLoFP9ZSSO3KSsH+rPkTlJi N7gfzs5wuwvALdpu90exYx9Uc12FC27vGbR9ubUYwT7qcmzNlN3ikU3yWhHKPKV6KzX+s/hWB9wj WDxj/K5BMSdFu7UxG+VrqdO4gRGq1FudzQcOSDLyuxpjZ4az6/+7PTCyLMv8ljK+725vYd5EEeI5 AF0l1a8cDrt9GEExMbNiNkplmVFaqUxppTM2ic76WT/RiTFIDWcZpz1OQQaUsVpSWulM9Y3OjDIM Yr82n3+buuntnzw7pU+MWnWrhha+jfeuKqpYaeZRbnUSKqZfyR9Q6v6XclaKBm+0tmTYSircTDW3 /qabMxst3+VGfP2sRCuppqnb083yFEktMY7d2n54RU0KRugw2hpEMPYF1WhiRYILnfrSISi7BYpt QI0RXcxq9KnBPqXKH210Ed/6PFRg9z0DUKQyGHKGKOC1le30UOawo4x7i5TDXXQ6nORpxueok9Tw FfmN3oiRuT84yzJNioxSRJnSOsuyJNOZ7uvMGPTZpIYzNhmTYTKsoDQlPZVlKmNtl3I0oKz+0lu8 qIVucks0Lv4Ox8bCV4xRGN2Jb0D0KzqKSgnGf9aIbO2Hqt0dhRi4Vwz9Khxk/ARVtzUMwy9EQeFV Fa6V1KKetuvmsL2tLU6dMHaOHH9VY9BRwx8NadVLV2uv21f5sukcv3dQObzGaK2RVEL9RdUcMtRt qY/WKValJWC36BZRsWPvxqiiWd/sn8Y8Tm6fNY5WRUHlAMOGyK/JDmcjk929iTMiRZRpo3VmtNGk jDFImI0hw2xYgzQrTf00Wc/6qUky0zfMBolC5k7nN/pquDf1ZnRznJLy1ohIyfbkQnDR5KSSFHLx qNhurlrB1a59rbKXDq60BH677nBOCo+Cu2mK625hSIiqfwkTZiLy2iBDVP221qQtGbMVi5IaLNaa RCpGbp5Q0+lKgeV8Dmw5GuJUGRylOYaXTfu8+MXBnKXqLz32Jfu1xO2UJ9hPwcgnEFHjaJUPqgZw iElEYVFhghtuAoxSZAwbjb4xOmGADCkDxQSoRK2nlGSqn6WZ6WdZZpeyN5wx271DwqmoVgHr8xWF 1+tpvc4WA8tvytcamyVlLMbhkkFavqNV10HxjP6Qek8AxwlG7lquXDhKFalqBYuYbgj5Te5w05t6 FY0mnnsKi+FclDYu6lqUoO9eeTsyzmEpt3GaXMhoOIritrpkvVauIg5vNp9KOawcPojKzW8TVzv+ YC1QCrco6KWd+ARjFNiE/RVz/Y2lt3606tknPXPXzp3VUzernM+6z4pbhM6u2qjsbn9Ka53ohHSi daKTxO0M6BYiCwvC51tXt/dMC+cdJn5VgMoBFaWrjVaNUE2kLVoHi7t8VHPGWg8T5oyRGrT2g2qk qa6vXwhp6XRXB/eb0mnvuXebzdqUq07xJw0zM2twan2odn92N63KTWN1rcTaevat79/ix63ckpC5 rVqS1KuuvPLS975vlBz53oHfNoOUyleNTHSS9Ow6m0tJr9db2tZbWu4tbev1lpTWbiFIt+OYGFKC IGwwriNuMuN2Z8/6Wb/fz+x81XxnNqukpzzjxKc981nf+sGtYT8ba1LWvFu1a+fOS9/7vuu/e92G X5IgCMLC8Lz/+rKTTzklNyCVV9dyROkwCoIgdMFNrCKQ3QPBrZRfVFWRVEEQhG74MSuEF/mtH9l7 AERPBUEQRoCCvto/ra0qkioIgjAi5ekSNWv9DZg+JQiCIMD5VYvTlRild6tETwVBEIbCvptjVzuy f0RvMomkCoIgdIbsC2lukqtbdYWDrSqSKgiCMBp2OxPjXuev86sKgiAIHSC/+DLD+O2uwGVVrVlg RRAEQajDLxND8WL2bXsBCIIgCE34hRPtYl35bIDGvQAEQRCEFtwSVW6F6/AmACWoLuI5CYFdWVmJ /1xdXe0Sf2C0cbIxVOJxfqaUN0EQFhq7BKDSKmztZV+zKvhV7ayr8QkyZEFFZCfIyspKU+JxNqaa B0EQtiB2tSqttFZKa62TxJqusV91htmbPCUDc3V1dWRVFStVEIQqiohIJYnO9wMAKVLBrzrFc5dU qUuvvClOKTz8ubKyMlD7WtKpDS8F1hq8LceKFgvC5kZppUglSUIgKFJ+z5XqfFUef7WVIEBVkerS K2+KUw2PTdHu2euYfvsFjnysIAibA0WKFNm+f6ITnSR2ScDSXgBd9fSyyy6rBp522mnhc0lYW8zV JtrjLJB41d4rQRAWjr179+7bty/8abeqUjpxewB4YlUdzkTdu3dvKSQ+nyXW1lgHu2jiAulmO9Ub JQjCwnHppZeWQuzEqrCzivI7XQdVHaXXX5VRy3xORerie50GTXdJEISFxk6oClsBEikbVppZxRv5 OkDLpKiBcQYeW+v3FARBmBh2/r/dWRXKL7cajVZNUE/jjn91hhOa/a3tcWrDW0a9hkqnGj7yJQ97 rCAICwo5N4A1Ut0rq3VvrE5CXVv62i1KOvDwLseOnE6X9Fu8w+FPEVZB2IqwXb3KeQA4Ct9cLwNs FGKlCsLWhP0vp6lgWbNqMthXEoKwzttInSAIkydsWcV2ySonobJm1cQQJRWELYZfXhUgZrZbVzOS cjRRV0EQhA6Udlf1btVYVUVPBUEQRsb1+MMOKxx+s+wMKAiC0AG/G0Akmn6P1UhSJ3IqefN95pRe WK6ypcpo4N0QNoZzzjlnJud9y1veMpV03VrVZaI5AJG4js/VV189gVSEkTjvvPO6RNsiZdTxbggb wyWXXLLBZzzzzDOnlHJBUBnFfauiFwOYuU58R+Gd73znZBLa2tx4441Dxb/gggu6R164Mprq3RCE kXCCat2qFGxV8rYqkQxbzR2HHXZYx5jVZXU2H3I3hLkhuAAYqL6x6mMwu70ChblC3IIxcjeE+YHZ L6viKK5aLa8CCIKwYRB5r2NrBMs8vqlE4QfiT9XdACeww4ogbD6msS/ZsCsRT3WD943MBnXoEMea a5cwnUdhdRQux82siiR1Ouesa3NKLVW14aptylqar4FNn9BOSzGV6F4o1WijHTtbSjpS3d5CGIqg lbPOyCSoXISbA0BulGoqF9mlzalV2NGSEkaj/d6WWrv42+7lO+xJhY1hnOZhPjf+2Ggo+hl5ABiz sxSqJswITVmILE/mCJSKgJk73vyOB3Yp0AUqtdJautUNzONt1VsOjw+pTac2fpWOG6rXLgEcstr0 bdNZhKa+fd1KgBtbt6XbPhQtux5MlpFLZIM36akGTuNuxCs9DpV+vFdF++aYcXh7/IHn6p5ONdmm Q0rhLSlsNRggNxHAEdYBYMK0Rqri/h3qnrpJPYcbvO/WTKhW4k1QrcOWv8MeuJF3Y3V1tbqPTu32 aPNWIk1Lqs9bPheQwnhU0B6vqkQMAhHT5J2rQUybuoHdH6eSQDelsEm84A0Muwf4RIi3O8ekDdKW ujGQDb4bsbZO+1yTYjVi1nnZfNQ8CfmaVfYNgY1Xo2EfJ/ZMM1PzTrwT4sbAEZizdmsD7kbLDjpd NrgUOjJal2W2EECM2BxVgLNf3eoqs1gIcFIP6iIWychM++kd+U7OpAhEywYypa3Vprdj20DP4XwR 5c7NrGL7PmvB5bqxWWLuMrGmZcJjy9QfYSCl+z9U12G0AxeL0r5kqHgexjFUq3MARtsGbSLpNB1S vQPjM3CIZUEf4XgvAEatk2BswoMX/myP1nIrOyYljED3e1sqqXEKZYEKdFjF7LLh+ZgbvI98SPtM gEntG781oOpE/3zNKhBNz1StfVpGa6m6TCGY54dznul4w6uBHW949/QXC/Gobm3Kohn2WIX/sPBV XBA2EpFUAWG8H0Buq+b9blFVQRiCedDTechDR6a3Mv8scItWMRXs1WCr2gkAZnOONSw4svpyjNyN xWVa+0fNGipuYZXbqnb1VXEAzBuyR0iM3A1h/olWV2HGxPaswnnnnTfsFkNCLdPbzG4Ry0i29hPm EQYonwoQj1YR02Qs1b17904kHWF6SBkJwqTg6H9EHgCwfRVgEi4A2VZo/pEyEoTJUJmQGlZXAXnf qiAIgtAZu8Fq7j5NonAYgyltByAIgrA5qazz52xVa8ESWVeAIAiCMJjiiiTut1NVZrILV7OZwWKA giAIi4hVy9Jy/96vCgaRYbt8tSAIgtAFO30Kbi8VAJEHgACC/yEIgiAMgisfAHKqalezZiISURUE QegO+eX+A96vCiaIpAqCIHSFAYbb6y+esmpVlcnvWwVxqwqCIHTFblxNbs4qAAQPAPlZV5V1rQVB EIQamIubOznTNBqtIjsRQDRVEARhCMiPTVlU/g2DiGaww6ogCMJiwkCwV4N0BlUlMJhZBqwEQRC6 47cXzo3V8G6VAYEgtqogCEIn7OJ/3OQBcDNVqTRDQBAEQWjGDVChxgNgRZXdlgCCIAhCJ+waqtX5 qoB75YpJFq0SBEHoQKlbr+LdAP0qgOxEVnwAgiAIHbAuU7uMCrsFVe2q1flcVWbuuhKgbCAsCMKW h9mJKik/LJUAfhUAwJiunX/ZS04QhK0OEUDKde5zczS3VQ2znVnVRVllLzlBELY4Yclq8o4A6wJQ UQxiyqMKgiAIXfDTUu3neL6qNWRlqEoQBKETBG+GEufiGc2sYhARyZpVgiAIXfDTp1CcsBp5AIL9 KvNVBUEQuhEZooV1AEgcqoIgCCPgh/jzvVS8rUrRwqqiroIgCF0guzkVxTtXxX5VlrEqQRCEjuTz VAsbrMSrVjtNFV0VBEHoCnM+cdWSz6zyE6tINlkRBEHogh38t53/gq1Kzoh1i6wKgiAIQxDZolwc rRJBFQRBGBIKa1ZbHwDHuwEyufmsgiAIQje4PMvfr67ilgeAUhAvgCAIQkfc0tTMbn1VDqNVdmVA ZnbbWwmCIAhdIIDZzVjlyANAdjBLEcRWFQRB6Aoz213/nKY6D4DbYlUBhqBEVAVBEDriuv2EMCqV ewDIG6tiqwqCIHQlfgeAAW+rWocrKcBM4iwrKyulkNXV1Ukk3Ha6cU5RyvDISY2fE0EQFovC/ioE hLcA3N4A8ZLWY7PqQZ3Ozg9BCrvndmVlJcSJPwuCsKUozKnyb1iFN1b94qtT6P3Pv7BOiqDLgiBs LfzkVIT5qmEjq8KnqRErbCxDteFdIg9MvCmRKqVvqwfGVmocbXV1NfYAtHgVmr7qnklBEOYEN0jF 7KZQhd0AyU5Y3ZC3VuMeNyoiVQrvGHlg4oGqWoWY1ci1qYUU4rM3ieAEcy4IwpwRTFFQ5AsIo1WK FBsGdxPWyy67rBp42mmndc9Ou2qMaak1Jd6ifYiEtcVc3RhKGai924IgbDB79+7dt29fIShMqCIE Wc3nqzKYmJTquhTA3r17SyHl87Uy1R7uaInH2hqnsDGdcetACAoen7R6qwVB2GAuvfTSumDvTmX7 m5HbqjZQMcwQXoChZHRumZ/pULGDNVb2zXGfBWEz40b6CVZVya5aDRgzle0AWmSr6auJKN1k5XLa 4js/4i4IQneqm1MrG2C3AFBqkgtXr3hQFIsmJ2ZteMfIAxNvIT6kS5bi8NLnLkww54IgzBaC27Eq mlgVjVaBDJio63hVGwMVoX3UaJzIwyYy8NsuZ6mdCdDima2dSjUwk4IgzB3kX5zivJNvPQCkFDEr JgbLLivTRUxRQdhMOA8AFVUVgFLKsCEnq6KqU6RlrF8QhIWD/O7UVJivSgBBQbGdHSCiOmVESQVh c5CP7hPDz7Fy81WV0mwMiBSLrSoIwgQ48MADZ52F4XjJS17yxje+cdijKJ8GEL0FQIAiYq3sNoFi rAqCMBFuvPHGWWehK5/5zGdGO7D6or/zAGitmAEwM0iJqgqCMBl27do16yxMEQq2aqSaYQ6AZjAM M23EmlUT4Zxzzpl1FgRhS/OWt7xl1lmYLX58KpqsCpCzVZXfBtAs1ByASy65ZNZZEIQtyplnnjnr LMweIoSlU4LFmtuqtvuvwbIdoCAIQle8HRrmT0V+VSurDIhfVRCEKVD7YveiTzTM3wLwhJlVfrSq 4CAQBEGYMKV9MUoLby4WRHb2f0E1w5pVym5p7fe1XjxidzAz134bwmt9x/bbUsymFFpijpDtarJx ljYmvDYzo6UjCFsFp5rxMgCIRquYmJlpMqNVTaZ+dZ2niTRTsRzY9be6POcjaEHHlLukU5uBpgvZ mPD2fHZJRxBGpmWPOAwSjaYF5Jr2i5ugdczR/H+LG63SStlg5knOrNoYw76kUBy9HjYRc7J6us2n IO3aKggTZOBSbbUrbVYdBS37IVWPGpjaiFC0DoAP8ysBKh3kdqqP1rBXMpo9O77qhZvQPanaHnHJ pkOd6HehKRvDXum04wc6GuOlE03JzSLMFe1+1YGLdlYPaVKJJpN2spCfVuWnAoQ5AErxhqjqwH0B LJMycksGbMnMbPEMNvVta9PBkD3iIKwj9KC7u31HS2dS8QceKz4EYRq0rwk36d4zx3NVA84DQIoU iGGdBBNT1e5C2WSfT9WHMMHHeGN60N0lNaj/UOkMe94WWpoxDi9HV+5Y6SgxVIUmgrZUzc+m/d+m hN8EsOQBICjlJqlOdrrqaP39OadJsKod/MkyrJXaNOFhI63UjimLP1foTvugdxef4UTHyQHkOwHm bwEQKNHa2w9MpMY/2WhMqlXZ+O7ktK2qRez4xymgs7iXGi0xVDcfHTcWGm1996ajprdafHXpFG+r ao3WuZzzTG230VLqck7KfzdZ82qCGQvMqu9cveEodvY7zniTvv+mZNjt44baNW6ooyYHuX0A7YRV AjisAxDtEDhzVR1hTutoBk7VqVf9qmXwvTTYVesWGBheHSVruZCm4bVq+GjpNDFs+l1o9/wKwgLA ANg5AQhhzCrft8pFwWzerBrfPq99sEeYkNT9kNppA+PnYaoX0i5/A69x2PRLA2hjJi4I80bhTVT/ MR+tQpDUSZgPI5juI+w4LQiCMEv8QFV5dRUC+b0AAEBt3jWr5tYCmtuMCYLQhJ3jT6HzX1oJUClt I1G+SKAgCMJYjLwZ1KJAod8f6abfDVARMxQRsEhLAcpq5IIwt7zkJS+ZdRamjO9h+ndV3aR/t74q kbIhCzQle8vvmSMIc80Iu0AvFlZUwzoAgcSGaq0AN2N1UVRVEARhtpBdxQLesQqgtBcAVUezBEEQ hCYid2p5HYB4OraIqiAIQicKS1I5P6tfX7Xw7r/IqiAIwgDY7q9StkTJzwFw86nsSwCiqoIgCJ2g fCcA1+X3cwAUlacHCIIgCK1Q5SdKb6z6eCKrgiAIg7CTplCYAIDojVUdgmjzvrEqCIIwUaJ5VYXV VcQ+FQRBGIG6qVPOAwDKhVUUdlE455xzJpWUvKg2MhMshU3P5qtmtWNRYQ6AqpnMKsw9l1xyyfiJ yHIKYzKRUtj0bNZqlr+x6getonerws7VIquCIAhdoeJglfergkDsJVdEVRAEoRtRJ7+4wwqBQOzj iKwKgiB0ptjB9+sAqGj1VRHVRaN2t8GZ5GQr014KtbvGdtmWsfsWkN3TFCYFRf1/ivcCoHKFmICs Nu2N2nHP1Jkz7XxOI/25eoQ67vk+1bMPtU3v+DRJW9Mr4KVtvWu3Lm+KM2y4MC1i9fRLrCQAmHl9 fd1FYhiTzSZ/m51FaVHGp3SldvfckTVu2EMmJakjH1syS2O9ixG9W3iI7HX4sAAAIABJREFUmGEM e1V1JZoA6GfZ6uo+vxcA9u9fm9RJw7MU/pxUypuVraO8i4WUi1CLMbye+dlTvmeQALjjjp+8/6// JsR70ba9G5anWGeb9HdS4ShaT7Xxh8pnSye3+lUIiVuaEDiRxzVYQ/NmBFWvt2S6NkWLKbXQ1Zil BOOv2k83MJ2hSqfWfzow/lCHtGB3SJrbmrD52Hdf/3u37if/ItUDdiQAFIC77rrrs/98hf33z5+7 8oc/vHGCZ62t5XHI6upq7fMw8fCB522/hKb4Hc8bPpcCS8dWc9sdZm7qbG4w4aKaGp5S97ypIOK7 0eKjr+3sV48dqv6Ujh2nXNoZrdRiz2kcHjR9TmrCpuee/eamfftv2rd28761m+9cs3Zrxa8KmMxs ZLbaRa2pKlcFa1j3wrTjbyRzaJKUhLW2HNsLbqrd7XazdyEIhS7SOSvsmL9hNx2V4FaxStoPGxPb 840NsVp7ZOBR7eGI7Ivuz8awD6341EYg1tbaGzhCwY2Tmab6U/1zNIbt/gubAN+q5W2baoo6W1Y9 qPi8Wnpws8jpXFDtCc6Wat+/KRo2tuCa6tVMaCq1LqU5byW+xSmWBE9dVVv8YjHxc9j0THZ8Vodi 2DSnkYfx0y952cRWqqXLvd3Iutel1JriDBsuTIWGdm2WtmqT623M8Kb0B5532Hx2jF8Nbz98NDhi GukPRXwHmgoLzTeqKbWWs2CMchwY3vGqEQ0TdfyqttRq/6wePmy4MBV877/yxuoUqB3+RqXqdxmM mkh4rcC10CWfXa6r6bwd78/i0nIhA6+31tXe/SzTqG+bplyEiVJvrM6pX3UiTLu3Pm/nFQRhDqDN rKrD9hAX/byCIMyIgtE63ZlVM2dWirZh592s66svFlIKW5baNf43uapubjbfLkCLiJSCUGIzewAE QRA2HlFVQRCESSKqKgiCMElEVQVBEEaBSr/9X6KqgiAIk0RUVRAEYZKIqgqCIEwSUVVBEIRJIqoq CIIwSeTdqglwzjnnzDoLE0beF+rO5iv96bEl6hWLqk6ISy65ZNZZmBjyVvuwbKbSnx5bp16JB0AQ BGGSiKoKgiBMElFVQRCESSJ+1QkT73wZbxw07XBhDqndkq9LCc6qFkntmgjTUtWmZfDHWR5/2kvr j59+/BTZfS7D56mGzxu1G8xs2Erepa0GN/LUgaZtpbuU4Kxq0aLUrvlnHm3VjXwSZBOU6TGTuzop SR2zYsQ6JWw1NlpVF1G/uj9g0rZvSqTpFYZio1W1VEHjrmJp+/WVlZX2elw9Fq07VFe/qj1XCJyU K0AItBQ3BhXWUKnFX4XC7XKuYSuhIFSZ5RyAoLC1/bUuklo6NlANL8UvnaIUWDq2dNRARFItKxGl r0ol3qWwqolXj40LtFS4Hc9VWwm7VACKGHhnhM3NvPhVx3F+zRUiqYGmMi2Fb3whNg2ijoOUuBCY paraPvg4Pe55652JpI7AxhRie2Wbt4okLDQzfgtg1YO5NDyFzcQ8VzZxHWwmZmmrTmpodd7msVan UjNz/NgEY3ZS4ZuAeSjEaUyyLtGlBKddW7Zg7dpgpmurrhQpfRushtohgnZrounYjvGr4UNcVTNc ofarpkPGCV9EBlaAlnIZswI0nWuoSjiQ2mJqqR7tcWYYLgzFtGzVjiMVHaN1P7Z2iL/0Z9OsnaZj xek2LN2LdWDMgcLaEjhOZUNDxRCEAWydPVbbDR9BEIRJsVVUddgOoyAIwmjMy3zVDWCqSrp11jnf YBai/ZPSF2K2kKpOjy2xG4/QgJS+UGKreAAEQRA2BlFVQRCEycGiqoIgCBNFVFUQBGEUuOGzqKog CMI4cOm3qKogCMIkEVUVBEEYF3L/A6X5qmSDCbImmSAIQjeo8Cuoql/+K2wSITasIAhCGwU1JQK5 z0FVFdlfShEpUptQVc8555xJJSWv0wiByy67bNZZ2Ors3bt33759szo7WWs06usngBdT+7/WWida b843WS+55JLxE5GXvoUSV1999ayzsHU577zzZp0FK6a55zSxnX+dpE5Pk1QnSZKms8ykICwa73zn O2edhc3AjTfeOFT8Cy64YEo5GZKwvS4BSKz5mvaWkjRN0l7aW7L/Zp1LQRC2IocddljHmJdeeulU c9KVaHjf+gESOza1tLw9XdrW623rbVtOl7b1tm2faTYFQdi6zNBJOg5hy6/Ejk0t7zhgaXn70vL2 bcs7etuWe8ubX1Vll2lBECZGNB01IaWU0jt2Hbht567l7bu2bd+5tG370oRs1XhTk/adiOLN1+KF iqexdL9sETxthipiQVh8CpKSKKWV1jsOfMD2XSvbdx6wbfvO3tJyb2l5/PPEz4/d2qRpp7bqt1PF 2qeirdNmhkXczrSVvbp1eXt4SyLSl1oUYjVRSiul9c4DH7hr5aBdDzhk58pBydK2ZOzRqtp9gKeE 7PQnbBgDK1tQw1Lj3RQubD4SpRKl9M4DH7jjwAdu33lgurQtSXpKT35m1USEtdalICwcoRyr3p7x w2tPhKILwn4ohaDZT9W9sol1uYVoaBmV0lrpZPuule27VpZ3Hri0fZdKUqX1xuauE8H+LT0MIURY FKqF2FS4w4bH1MYp9Z/a09n4yhbeGW8KL31FRZoidzm8S/gGs1LHDPNTS/UGJVonWuvlnQdu276r t7yTlFZKb8A6ACPbAqPFFzaeoYq4RRxbUuj+jLWffeLPahCjoUzX2Jcay1kpnIjiOC0uhdpoTYcP DN94VldXxxSKmZAorUnpbdt39rZtT5a22Smt3GTaTo4R7o69xbWdR2EOGbaAgtlY6pK3FPpApe5Y YSZel6YhScOajaXzNh3enuzMHRpxfZjjR56Z3Y1kQCmllVLptu26t6R0CpUANI0bORFzYNUzqQSF OaFlXH6cQt9MFYYjJnh4NTxuEuZhVM0W39xKatgJwN9AVmTXVEmXSKdMikFc3INlNGq9YKMdFQ8g NLnPFv2BEZroUriTqhjjnGuTEevs/Ajr/MNgAIqUAhElKZRmUjy57n88UxWd70vLUaMl2MTIbb4w DUqF2xReHWtqN3Lbjx2YzgiVbdr23ZjpNx1eHdoa+RRbDi40QmC7ZhURdMKkGDAT7f631PVhjxon QWGD6ViCHZ2kw4YPe+xQ9W3gSa2DrTpa1RTecuywaU4qS12yKgChU88AwUsq7DoAAEEpQwTAxJEF QRieJhnqIk/DHhvCY22tRh45WWEgDIAZlItsYleyZqVAxERMxX2tBEGYV+IpUMLGE2x7EDG7AAbc iL/1qALExAzwJhVVWcZf6MhCuJWkqz5r2A5POVsVsMKasLNVycnr5t1hVTabEjYfm09J52Ut6o54 b2osmon9k0kB0ej/JhVWQRDmmbnZMaUbzk5lIvLKShT2WHVOVbYKS+JWFYTunHfeecNuuCTUMgdb +00Aq6p2nIrgPABgsVUFoRt79+6ddRaE2cDxbKl8kJ+SKCgMUomkCkJXFnSTJWF6KKCoonZmldiq giAII5EAdnoAM1g6/oIgCCPi5dN5ANhkIIJ9B4Ansr6KIAjCZqZpWD9xhmqW2XVViMiGbHD+BEEQ FhOKfgJWVZmZ++sMYiKQYjaiqoIgCF2ozkRNrEM1W1uzb1WRUjAGbGaTQUEQhEWB6idMJdZUzfZ7 VdWajUEmqioIgtBO/jJq8Y1VZmZe37/GAEAq0ZxlbERVBUEQBlJjrCZsmA2v718zzAAlaWKMMaKq giAII+E8AEFV2RgjtqogCEIHKPyISPwUgL7xGwRaYd3o3AmCIGwKEgaDOcuMXajRqIyNzFcVBEEY EQVvocJNvGKAZWaVIAjCQPItACPcG6tKKSIoIqXcgoADWbAluwVBEDaEBAARpYlWSilFilh12Axc 1pQUBEGoJbEKmiY6SbRSBM4UBb9AI7KmpCAIQi3WVkUvUUmitFacyXKAgiAIo6Ps8n+aWCvWxIoM sYxWCYIgDKbWBE0ABpiz/UwJKzL9dTYZG5mvKgiCMAoJG8MmW7v/HqO1UpT117P+WtZfm3XGBEEQ FoKSwcqJMZnJsnvvvENrrYiybH19bX9/TVRVEAShjaYRqMRk/Szr3/WTW+2UVZNla/vvW9t/34bm ThAEYbOQZP31LOvvu/0WUkSAMWbt/vvX9t8/64wJgiAsJInJMtPv3/mT24gAEDOv7b9vfW3/rDMm CIKwiFBiTGZMds9dqyGsv77WX1+fYaYEQRAWF7dG9f333mP/JkVZlmVZf7bZEgRBWFASsGE2/XW7 wwqU1izLAAqCIIxKEpaqZgaI7AIAg5dXEQRBEOpQYZNA+1MprUgppWaXJUEQhAUmsWtVK6WsraqT hLQipWedMUEQhIUkISIQlNbGMJFSWitSSouqCoIgDA8hAYFAWmsiBimtE1JKkXgABEEQRiEhEIiU 0gCDSClF1GEzAEEQBKEKO1sVpBSBiYgmZKWurKzEf66ursbh4c8JnquaZikPISdx/GnkRxCErUyC 3FY1sCYqY8wpqyWpWllZWVlZmZVyiWIKgjBtGCCvmm6PVSLys6mYwTy1vQDmQePmIQ+CICw6TbZn UvyTmJnZmGySewHEKlY1Y6sxm7wHpa9GFseWXv9E0hcEYSuj3A4rHN6xytgYY8ayVYM41no2A0Hd avUrhIdESvHbE4/PEhgYc4T0BUHY0lSG9hNmMCPLsjDsb4wxg/atuuyyy6qBp512WvhcEtaJ2H2j id2wp65Nv/Z6BUHYUuzdu3ffvn3hz1hOKfo7YWZmzvrrduIqMxvTyQOwd+/eUkh8PkusrRMR1qDR 0zMka/NZvVhBELYUl156aW04+V/kPybMhtmsr6+5OarMdsXVLqepyqhlStOVZjgLqulKBUHYuoRV VKx6kp2mioSZYW1VEBGYmU02pl91EyDzWAVB6IS1R6N3pxIwM3O/v27NVwYbM+7MKttDHzieXo02 bLKTpZS+SKogCJ2gwhupCQMMxI5UZjP+wtVNklQKr51iFcdpij/CuUZOXxAEoQmKPQEgAiV21r/J MmfH2jerNmQ7AOllC4KwWciNVfcWAIPhlZTR/NLARJEetyAIm4LCglReVWPjdAO3rRIlFQRhUWmQ SllHVRAEYXQ4/PCIqgqCIIxCLKVxb19UVRAEYTSsncr5Z4BFVQVBEEaEwXZ0n91Pq7KiqoIgCKPB YY1/Zjv1nyG2qiAIwmgEV6qV1OAJSBqPGJuWxaendK45nKdVm7HaF8mqb+IOta72bMNndeebtiYb IZGNuYTqnmkxo4Vj+FKrzU9TiNAKMzMR7A/rD5iWqs7V1lUjM04Na1qvoPRclW5L+7majp1V+JxQ EoWhsrfxkhqYVCO3oKW2mWAGRYNWU7RVtwhNj6VsKLDVaBfolprQdOCw4cJGw/lk1XiW1Qap6mhd 4IFxutTgjv3olpBS499+6oFs4odhUl6FCWamvW9bKuIutaKa82lkfk7o6JXa6lTesJrWaFVph5WY ULlrrbkQ3iVOrRC3p9+Uz+ohcTZako0zPBRNLtfamzafVL2E1fszbPikaDpdNU5TeMecx0e1N/Mt DfxsDdWViDh8NWKCp9u8OH2doq1aEtZakZoeXdIfIUuTyvZAv8FCe8GatKB7/KFoshxXR1q+p6Vf tVlpMcPjwMWtkBsJbYAHoFYmQiFNr8oOWwM6ZmkiFavdblpQ2iVsqldXEoW4poUCnaHHZtEladHz P0Uo+hkxLQ9ASzd2DgtpI7M0h5c/KeLe4pyYeKVu+2xz0uINGzN8emzi6joFnMpu8jkAU6oTtf7E CabZJXzmlDLWJZ8bfI2lYhrHqTLO1Q3sX88tc1v35oWGlQCnpaqrzVtXVb8alnZP2QjetKYshXBr go3gpGuieme6pN8UZ1bh08jbmAw8XfcTdcz5zJn2Ha59ioUcLjsBpj5a1f2rOLDpc8eQgWXfJc0u ORl4ru4n6ph+l3xuZPi00xzhjEOdbtiaVgofVnHmpDRbIgys8EKEm6nqRNVrq6wDIAiCMEk2uV9V mB5iyAhCAe9mXTBVlSdZmCukQgpVxAMgCIIwSURVBUEQRofKn6a8EmCJ1eKLLvM/G65phLdl5Lf2 orqMFI9wrqkeiw4FNG95HidNQRgecj+oMLlqurbqapEpnWWEyYNdDgmaErcB7eG1aTbFH+dcG3Ds xO/PrI7tkqYgjAIFWS2w0aNVc2gpTMpk7vLQzuHl19J0LV3uVbuB2f0OLMq9EoQSG62qLY/WaF2/ 2CSpakHtbO04tZZHdx6e6hEmlk88/UVhM12LsGjE5uqU1wHo7s8q+Vtr9a42TouvtjadarSBT+NE jNkxXxzskodx8tnx2O6J175AOfKxQzH//nphczNdVR22Znf3eTWl3N4NH+FJm7h/YKVh2fnueWgx xuOkVju/rj4NGWpvIMc5tv26RFKFWVBYC2C+3gIY6LCLH6eB/rvxxyWm94gOa7iV5HJgnFLMllux iDLUdF2LeC3C5mPB5quuejBogHj8c83DIzonHf+FYDNdi7AYRLsBxsyXrWppejym9Nhs1qdxGtc1 jspPSv03a3kJC0hRVL0PYF5UtUvvvinOavMqqANP19GnGZ+xoyNiIpfWlIfJ5nMoJ+/APE+kKEc4 tulahi0vQRiTKa5aPTC8dnR+4sk2BQ4cm27Jz7BfjXxp49yTLocPdGS3hwx166Z97Dj3QRAmBi2a X1UQBGFumMUbq4IgCJuWhjdWRVUFQRBGpmb3alFVQRCEUaCKlWoRVRUEQRgdorK5KqoqCIIwEn6Q ioo2q6iqIAjCaAQ1LeiqqKogCMLI1LhWRVUFQRBGRGZWCYIgTIz6GQCiqoIgCJNFVFUQBGGSiKoK giBMElFVQRCEUSivVu0RVRUEQRiRGmFlUVVBEISx4Oh/QGxVQRCEUWG/yQrHZquoqiAIwqgUdq5y v0ffYeXSSy8dN0OCIAiLCxc/j7kb4N69e8fNkCAIwmLDAJiZiotWjaiq+/btm0CWBEEQFhaZWSUI gjA1KF8OUFRVEARhZBhu9WoKG66IqgqCIIwOWSuViKyukqiqIAjC6LhdVkg8AIIgCJOCrKZ6Y1VU VRAEYVzC5CoSW1UQBGE0yPX9vZ6KB0AQBGFc3M7VhbcARFUFQRBGgkB+tCrexUpUVRAEYTRiE1XW rBIEQZgIubTaRVZZVFUQBGEUSjtXMzt7dfSVAFtYWVkphayurk7jRPHpxjlFKcNTza0gCJsMvwog AwyejqpagjatrKysrKzMrVSVRDnObRe9Hl/TBUFYYOxygAA2ch2AWKEEQRA2F36TFecC4Cnaqi3E ChtbebXhXSIPTLwpkSrVQ0qmaxytFCe2W6smcMcMCIKwWDAziKzByjOZAxDkpipM1fCOkQcmHqgq WojZ5F0tqWStaHb0EojZLgibjGjTqvH2rbrsssuqgaeddlr3FNqVZUxrrinxpmRLwlobbVKCWEq8 9k4KgjCH7N27t3EbFAaPuW8V6rauGmrblan2gkdLPNbW2hSC5g6rrfaQcFScuOwAJggLQXX/06Yd Vsbyq26O3as6DuKPOdbfNCNic9xDQdi6cGHm6gatWdWiR1VvZnv4sOedEw/m/OREEIQpM831VVc8 KEpqkxOzNrxj5IGJt/D/t3c3vbIj5QHHq9znnrlzI0Rvk0gRiqKQAMkuSphNlKyIlEQTZYeQrpDY cJdBiZRdWM1+FlGkrOYboFkOYgEzCSC2eeEDjMIMDNCHy3C53a7nycJ9+vj4pVwuV7ntPv8fYm6f aruqXLafLpff6rP0lRJSYtpaAVipLFdWDUYN/1mjKROPzWTw2/bvwfRpAFwwngMAACkRVQEgJaIq AKREVAWAlIiqAJASURUAEuJdAACQFFEVAFIiqgJADNuTnuup1Z23vTee6+yfN997Tc417xT+Zymc Pg8+AtyTvhzc14tVy/suAHaM3NrPH+h7LoE/HUAqc79hJfxxJ/NYe7dovTUHLpSdO6o2+kr1rxqv eAp541Pnc6BDjnzDq9pZrn+avuUKrNuUOqeSZFRhSuOEVAZYprxnq7Y1fdP43+Z0irB9gdj/Pqu+ 9HYOo8rNWrfBOnfWJOSxip70kOUalT6xcQYrAyzWmsZVw3NLte/585myn7eXZUqd842rjq1n1r4k HVWswnneXB1u1//GJ/9cqUr3T3AKUiEx0b8sywkZi6pn3AYAnNEKrlfd3TILOwCMONO12GVpWFQ9 F1UZYNDSo6p/THb6vKmmmbM+U6ZPlWffNMnrk2MBgYzsxY0A9E3fSE9Srj/PwTqMTR9Vz7HpyfOc uOIGKwMsVq6o2rf119NDPvdlNXb6kHwipp84e3T6KvLMuuKAxVr6CAAArAtRFQBSWvq46hpxxAo8 ZPRVASAloioApKNEVQBIiqgKACkRVQEgJaIqAKREVAWAlIiqAJASURUAElKiKgCkRFQFgJSIqgCQ kCWqAkBKRFUASImoCgApEVUBICWiKgCkRFQFgJSIqgCQElEVAFIiqgJASkRVAEiJqAoAKRFVASAl oioApERUBYCUiKoAkBJRFQBiaE86URUAUiKqAkCkzu4qURUApmiG1qvonN56661pVQGAtevorUZG 1adPn06rCgCsXecAgEZG1Zubmyl1AYALosbY0x+MqwJALD3+t95rJaoCQEpEVQCIoo1/K5aoCgDx 2mesiKoAEEeNMUb17rMxhqgKAHF4DgAAJNcRWomqADDRvdhKVAWAKNVlqtrsrhJVASBO7dKqWmgl qgJASkRVAEgp/kmAHtvttpGy2+1yFFQvbmIR9TpnrS2Ay5axr7q7Zbri7KKc4nJ4bbfbbfRCTZkX wGLYu3/vHlk1ywjAwgNro6u78NoCWAprrDHG2kZylhGAQX2H253pIRMPZh59gF+PuafPp9y22239 z85C/fOG1wTAUt0LrGc4W9V3uN2ZHjjxYOYnSQJZo2N7+hzSz+2cF8A6NTuqJrqv+o1vfKOd+Prr r4fnEBh64vRlvsxA1tmYAJbm6dOnIa9BiR8BaL+6atRrV7IGuGVGzz68BAxYvvb7T6th1dtx1btO 66RxVd5elQTNCKxXewhgjnFVz/WkfdcYJbn2KDCTvhHbiaUDeCAagTVjVN3eMq2zOqYW8tqXNNXT AycezNzPM9dgQY3lHVXJkLoBWKiOM1XGZLqyajCW9U3QmT5q4rGZhEwQWFCSygNYk9sx1XqA5TkA ABCns7OqRFUAmOheeD3PvVUXhsN54KHq6K7SVwWAhCxRFQBSIqoCQEpEVQBIiagKACkRVQEgWvO1 1SbflVV9N4yu9y77vkdTN77qfGR1Ox9/+swv/gIwjdYvsaKvGqT+MOyQh20nsaIXfwEPknZ8yh1V G7Fg4aHB8wAt0/XIlYllef5sILACi1aPqfbc91aNeoHVxHTTOjxvTx+OQ3IAXcOq+UcAGkfK7a/C j6knpg+W254yRNyzB9v1BLBSev+P8z8HIO4FVp2PQE1Ybshc9XLrsZVuLPCQ5Y2qu92uPli5a73k 2XTFzfZc/nTT9V7okLqNWJL7c03vXYa0DID1UKPHywAWeg1A3+lv/1n4c9QUAO7JHlUbrxvpU++4 ec7FJ+/QhZSb6RR8YMsYfjaAVTnnuOrYI/3A9L78B8sdVdXG577c+i5CCDH9QgUA88sVVfuu7mxE h7GvdYpOD4lu/sjlqfmo3EJahhgKrIit/nN7d9VCx1WTyDFiAAB3jm8DtLZ2y+r5r6zKJ+JIHwBi WGuqyHr2e6tyI5ICyMxaY4//N8Zc9ggAAGRl7w7+7WlglagKAFPddlYtbwMEgIlsdex/PHFFXxUA Ytn7fzECAADT2Xv/GKIqAExna91WoioApERUBYCUiKoAkBJRFQBSIqoCQEpEVQBIiagKAHH09J86 oioATFUPrURVAEiJqAoAKRFVASAloioApJTrDSudr+GLft9JlVvEa59TvWElbnFOdWhXppEy8SXV nQs7mGfnO709OedYp525edZdviYNmT6wSXM0FxbJdnzK/TbAxka/3W5n2KryvVd1YuX7Fr+xK45q pb6FDc9z7EKlXacLadKQ6eNW01l2AczKNhNWPALQ92Lq3W632A13VMQPefP2khd2HsmbFAh2d72q 6t21VWd7x2rnwVRjix/shizExOP3HKb3AVPVZHodFtKkHktoLpyFGtVjRLXVP3quqOo/mPIcZNVn nH9n8/wStOvcjv7VaGD4MWCSBRz8EWoHL//gYMgv39jqdWa12CZtmLO5sCiqxqhRUSlMYUS1UKPG aN6o2rdJeYbzB3M743Y5WPTMo8bhp8s805x3oPDiowzjqpdMVVVFnNXCFFa1CqrnO1t12uFHxdYF bpGn7tLpz/CJ44oLnHIwpC6wMSNMb1IgjqiISFmW1lpbFIW1qqqq5zlbFd3rXObOs7tlFlPDs/fr gYsnIiKyPxwOh8Nhv9/v9+eMqnEaYWshPZTOaniC2qjOZvIFrOe5kAYMdJYmXVcTYWbinHPly1/f ERVRme9sVf3EQvRR29izE2l1DhOPGgE4TdMYHh2bQ0SF29n2letfO2lPv3hym7NJQ6ZfQnNhUcrS lWX54le/MtZaa6y1Ve81V1Qd7FOMmqDzc8hJmFQmltUZ0QZzCF+EwfxHlTu9PiEmDvgmb9KQ6c/Y XFigsjyU5eHjj59bc/yfOCduxr4qAFyS8nA47Pe/fP4Lc3uDlXPOuZKomgX9lORoUizN4bDf718+ v/m5qa7/V3WuJKoCQKRy/7Lcv/zlzc9UVFVU1ZWlK4mqABDlcHh52L98vvuZqoiIitBXBYB45X5/ 2L/8+Bc/F+dEnIiTspSsfdUc15SMvbh9RRfDd1a179Iof3rnHWudk4WU5altXxGeb/0zBpYY0hQh 87Yn6GyTVWw/mF9Z7g/7lx8/3znnxJXiXN6zVY3N8YwXmS6f/1LRSDjgAAAPIklEQVTH9n36felt 7fSxZfn5b3IPvIwppLgpTTE4Tf2naNt1U7WnYnjI3KF05eHFx8/Fla4snStFXMbrVdHWt5fOeavr om6rbfM3kV/a8EdIxSDnDq48vHzxK1cenCulLFWcipspqnp+/z0Hre3Z67N05tM5fafO6dv35zSm CZkrojJnt4pKzoaQihAizjm3f/lCytK50pWH6iFWGe+tOt3GN2rrDDmym3JQXBmcvvPPwLn6Jhu7 l+5G3nbZ94s1quhRq6zxQzhloDZkMv/oZ3gp7ULr2yohFYFUVEXc4eDcwZVVVBXVnM9XrYeV05+N 0avzbsF9vePA+xT9c42at5MnOtej7WCVwsdJx66O6HFVfzj2FxfyK9uYa7C52sdSEyM1HoIqhoo4 ca66DEDVaO7nq5rxO/acMtVnbB8zrojqQ+APQ4g5f+HGnq1KVZw/tra7q8vcbrEkWj1RpXrWqjFq TLYnAXp6B5192Auzu2UWfGqo7oLXRSBaAHGsqR5ZZayx1fMA1vR81UwCj6anZ5iqoM58GkEh+ULN I1XT1acPmZeQihjWGmNtUVTvArBFYY0xxs5xtuqU0vjWxG7H7YPrsQfdcQfpgXOlGgHoyyck/7g6 9K2vkOnbs/i/bVfVU2LWpmhvirvYc614UIoqlm421dNVjKqx1tpsUdVEnfIe9TmkuInTd576CMkq 4szVqFlC2nbUsk9ZWROLNvej5Ng849bj2ByANmsLa4urq0fu+HzVKqjmjKoe9AIArJ0timKzuXp0 XdiiKApXbM4WVQmpOdCewMyKoiiK4tH1tWw2RbnZuPNFVfZ/ABegKDa22Dy6fiyuLDZX4kpbFNYW PAcAAGIUxWaz2VxdvyLuqnBOxFlb2IKoCgBR7GZji83V9WNxTkSOUTXfCEDnFYI5bpo8uwVWuO8C qbEXTq0oz861kKPOwIktNsXm6ur61eoBgCJii8LYIu9dALsaE3CX0QIj1Oqc2rDR5n3pa8/Tc+NA 8joDdUWxscXV5vrVzfWTzStPrl75DcMIwCpM+aV5CL9PBEecTbGxm83m+olVtSoqeuazVe2jsHpv or2rnAKEZ8a+yUzAAeDgUWHgfUQhR5ocmc6ABkRudrOxxVXxyhOjakVFjbGFsZvzPAeg8yiscYPN 4JFayGSBB4DhR4UTC4pIP6WMsr01dsbLw7ASMrF2YzZX9tGrxaMn9vpJcf1kjmsARt0nHpLDlKwy ZeLP3J9ne1ePqENnD/dUuv/++sA8d8FPdJ0hz1E9ekIqMio21m6KR49FTaGqx75q5rsAGoe32+Cn Go+aJnyyGTKpO+3SjUDgedhHRB1yhIx2nn1DK/PnGb68hFRkZe3GFBu7uS5URY9JGZ9ZBc8uXY8m cX1JDCKkIjtrjSlMsTFqrKrR6iErC4iqIVt/4B4ydkfyXOSYb28cu7xLiA456rCE5QKmqR5WXRij xli1aoyxJv8bVk52tcdo+o+CG9N7pgmfzD99eCbRBQ1WeOyCBJabJP+15NnWHoRNmz9g1Bg1qmr0 mJDxqdX+xMEJAqeJKCsw207+0gMHSUelJxxpnRJBFp5n4FYRnT/QQY0ao6pavQXw+OzqGfuqAHBR qkjqxJyiqqqZcwQAAC6JGjWixpVGj6MAVTJRNRSHjQDuETUq6lwVVe1td5WoCgBRVFREy9IYuT1d RVQFgFgqYlS0PBgj1VmrKrbOd8dqkktkpmTSuMipcd+Xqd0E1flVeK0Cl3rKvO0cOm9P6swhriXD a9t5MZln+nw1XOAlsROr5FnLnpzDN++IHXZwiWbYpM9FVVVE3d6oai2wZoyqjQbanvUmovbW46lP SFU7V7kJW+op8/o1dpgkbR5X276ljmsZ1E3voAz+3IZsPCEra5mbdDLijFZRVVTVGDEqGaNqI4rt 7t8LH2HmphxceZ6f08Y0cfPmE7dZT69tSLnnbZkZLCQijIpNfb3RsStrIcuekopRp26vKqpi1Bmj qjLrvVWnz4NHjruuJ5J4JvYkDlZmdSYGHc9B1iqapV3/kGp7xiXCC23MePbN2FPPVazKk9X+joqq qLxUEVUnIqpyniurBg8KBu9QGpuDuX+fYufgYOPodeKxRtzGvQu4mdI/8BQXJXOM0vQtRe7dvm// 7PtRD8+z0Upn2Yzb9e+cpZ7b9M074SDSbJv0XMQYp24v6lSciFRDrWeIqv4Dh8ANKzyHdrnhHZxo cXFqXYNQO+8DUv3jrfnqNhg9J679+qBWXxHt/BNuxv6vlmktm/RY1YG/6kGdE3EiTrOOq/qdtuwp Pf+4xg1cwf6QgUqSg9Y5pf1BPeNmPBGbdxqqRkXkUIVUca561Mp8b1g5rcIZuoqdpbMNPXCZQmqS 3LBGWl38L06kFFeKO1RXrOaKqo3jo3wRbWK49OwbaXeYywvrfUuUKj2tvhU9tvRMtc2XrZm8eS+k iZaoumDVlSqlSClS9VVzPl2l79zL9KOPkLM6/llGzZW7bqPm9bdeIz332HHI+h1Mn1juKHEjFZ01 P8tmXPGs5YidYnp9BotYyyY9lqqoqrjSuVLEOVdWTwWc771Vg+mjTqFG/PwGbmfT8wxMjO5BTOx6 tM8dheQwqtAp632wJnH5DJ59TlJiOzHtZjzxFNZgUyfZrcLP1E0pdwlUVEXK8iDixJWueswKzwHA Q7b8/RZLJupExZUH50pxc/VVl4/9CheMzTsrFRFxh8NeXOnKUoiqADCFiIhz5X7vqqHV8lBdwUpU BYAYIiIih8PeuYOUJSMAADCJiqhIWe5dWUpZOnfIG1UDz66Gn4SdTd/FN2PTp+TZmKDzKktPcZ46 7FoP+JhTo+gpTdeeoPHt2MX0N3W7DgvcdM/oYbZGdbzvytKVpXMHV5bVNQDz3VvVlmlNTLmK8FSl zrsYwtOn5BlR5ylXTc6mUckpTdeeoPFt2pC6u9VXT9StZYOcruqZikh1u6qIq15c9UBHAOb8ac1R yuo6BdN3s+khEvk81NY+hlUVqT5Ub66aI6p2HkPVu2ztXoD/WK+dyZRs23VbmvZBbuNw3oxf3s4D 58552/3BiIadzWBIDdlm+njGBwKbMTx9bD59FeubN7oCnemdG2TfjMvZWpI4vlhVVY9vrjbzjQA0 jqFOLdtIDDnO8swSmO0ppU/y1X86LIrI09MsgcvbLjrhiMTgEk1szO2tvqLDh4xDtpnO/PtaY2wz hqfH5eOZd2yGcSNXnsa8QFUUPb5cVW//nqWvmlZnHPEbe/iZ4xe1vn9Wn3eZn8Y2z2YdXUr44reb rrMC7e5SkhZoBNbBPMf+JuUWsb+ET+9vjd39x2NfYEfVGmOMtYW11lprrK2Sz3m2arrwDf0kVZ5J hNcqPEPj7dzNz9OeCRe/s7uasAVGdeEXGz7GVmyxC7IY1lh7CqnWFlWcXV9f9STHKr+Azajed+vs 3J1F1hCfb61F5LzYTegsIXWX4TlYi2JNFU6LoihUiippxVF1rHYvJt86Dilrtl+FefbzvlLqKfXY mqpZFhvFFiJr+zzwxq96qUVRqBZabHQj1lhr7FJGAMaOXrVnaafHZXuavv0b284nJP8p89brM5h/ 9PKOqmcqU5rupJ3u/yWLHiSNm8U/5ah8pq9Kf8XC1/tgxRpDJY0ML86xo1psiqLYGGuNtbn6qu0N 3f+5/ac/T/8snlLCZ5wyS+CiRSzyYP6j8pxSz3YndOziTGm68BwmzhKxjQ0WMWWPCFzXSRYzfHsY uy9fDGtN1VcttNDNxhpjVz2uiuV4OHsRxrroUYLjpVSnkYC8fVUsx4Vu0FiBiw6pRuV4z6oRqW4F qNKJqsCDljXkXWo8rYg4FSdlKSrVfavVnVZEVQCIIc6JSHnYVz3W27tWiaoAEKV6VFVZ7lXVqNHj rauMAABAlOrpf+XhcHyuyrGzSl8VAKKoioi68qC3fxujhhEAAIijKkZFxBmtPb6KEQAAiFONpopo PY2+KgDEOp6kkkbyUp4DAAArpO0koioApERUBYBotp1EVAWAlIiqAJASURUAUiKqAkA0rgEAgMzi 7wJ46623EtYDAC5DZFR9+vRp2noAwGWIjKo3Nzdp6wEAK8T1qgCQGVEVAFIiqgJASkRVAEiJqAoA KRFVASAloioApERUBYCUiKoAkFKWtwF+8pOfzJHtMj179uyNN944dy0ALEWud6y+//77mXJelG99 61vnrgKAZcn45upPfOIT+TIHgGViXBUAUiKqAkBKRFUASImoCgApZTxbldZ2u20n7na7+WsCAB6r iaqVehjdbrfb7ZbACmBRGAEAgJRW1lftU40PVP3W9ucTOrYAcnsQfdXdbtcZZAEguZX1Vel7Ali4 lUVVzlYBWLgHMQIAAHloO4moCgAxOgKqMWbVUbXzjD/nowCc12rGVTvHT+uJcRMAQFor7qsCwFl1 jwEQVQEginaHVaIqAMToCapEVQCIo91jAERVAIjT3VfNdQ0ALx8FcNn6rlfNElWfPXuWI1sAWJCe sJolqr7xxhs5sgWA5WNcFQBS6uirfvTTj1577fO/+3ufnr82ALAWr732+Y9++lE7vSOqfu/7P/iz P/2TL3zhr/LXCgDW6qOffvS97/+gnX4lrnz77bc/99nP/Nd//0+V9O133/v2u+/NWz0AWLfPffYz b7/9triyMMa8+eabX/ny03NXCQBW7Ctffvrmm2+a6mzVzc3NT3784dMvffHctQKAVXr6pS/+5Mcf 3tzcGGM2xhgVefe9d//2b/767//u9Q8+/PEHH3547hoCwDr88R997p//6WtXhf361/+lPByMMbbY XFlrjbHWGmOstdbcfthcXT26fmysNcYa1Ze//rg87I323VAwXlVkz3enL3r+rf1ja3MZY6zdbK4e vfK4N++1WG+br7fmQJDqySpqjFFVVT3+o6oq9t3/+E9VY61RUWNtNaWq3jx//s133vm/H33w6T/8 rDHmu+9951Of+p1nX/3qb//Wb242m6Bi9bZwVWOMiFSJVRVERPVejUSOdVI9Tay3aXL3+ThH9a0Y Y0Tulk1Vbm6ev/PNd370ow9+/w8+k6U95/Ld977zl3/x5//4tX94/PiV8Lm0FshOn+/WxemPU9uf vq2atTbjKUHrs9yfppr9xYsX//pv//6/P/xh1eZsLbh4d/uIudvqVERU/h9uyZckVAQA/AAAAABJ RU5ErkJggg== --001a11411d96b24654052cfb3830 Content-Type: image/png; name="Screenshot 2016-03-01 12.29.11.png" Content-Disposition: attachment; filename="Screenshot 2016-03-01 12.29.11.png" Content-Transfer-Encoding: base64 X-Attachment-Id: f_il9c6x522 iVBORw0KGgoAAAANSUhEUgAAAccAAAKACAIAAABmKySsAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAg AElEQVR4nOy9eZxtRXnv/Xuq1tp9us850Mpwjso1cWRQNDOviGLACWUSjGQwOfeNFzC++rkxQeXi lEsMgkOMH/Ma5cQkOCW5iYrojVGjEXAI5r4ag6KoQVSMzPZhPt171fP+UcOqNe61p+69u58vh+7d tWvVqrWq1q+eeqpWFaGI0gkmABEBREREIFJKKUWk7AeltNJaKaWTROlE60TrhGwUUkQKAKiSJAPg /Ef0P8IBFB9HTT/acOlxJf3SKagtqdpcMsdHNWR3TJqTG/+62u4/VQ+n0qEDMt1Q3i0HU/wVV75r uxm11J6n4cAxiq1SLQadulu9nRBU+1dLXUJddSpWqK7UV9HBRVmpys05jzI8KPNoexYqnPCUJz3o wQcdumv3AQccsGPnzlxDdZIecMABL3vZy377t3+7a2LNELm8kQdERFY5rcKSUlopRfZnHocQriuH 7Y/wi+Nwf866T4V0qBJSPAlzzR9cygyVU6gRkELBFRPijg9M5VFr16ZyfiqZKtw8dwupdKNCqdXn iDn8CKky5zckujO+RrbpYpThFlHlUmjxCeOGxCuF5A8o/I7OVfpEA5+p6r2iwq8GKu0SohpSm2uq 1uFqpexw6vZ8bUvo3Be/eO+7/6w11tC8692XvvjccyaY4N7f+52z/3jCmRyZPc991l/970+/570f eNsf/3Hf4JlPf9pDH3rYWr/vVDXt9V73utc/5SlPvfoLX/yji9/UMVEqPJXh0XIWqSKlEq11kvZ6 SdJLemmS9HoL29KFhd7CYq+3uG379m2LOxa371jYtpSkvSTtJWmqrbGc12r2dZCNYWNMlmVsDDMz s/1FroJTng8n0CAocoptP4SEqfrUGDY2TRjOjDEmM1lmjIGzuK3ZrbWyRrezxm1uvcaAwWzYGGOM YWOy6Ge4VXD59Q0JwOTyk0twbIX7VoSdMPrPDCb/kUGKiBUX2iciIp8bZmP6WZZl9keflLskIiiV 6EQrpbXWNjP2RrG7/czMWdbP+v2s38+yvvHXaJhJ+TuitL3Tro1kAGzYHc7MgLGXQETs7yr5Y8Ll AjCZYbb3kBnMviHwJe3yZm85F7XVJ6qU8vfXl3yhYa2IKTMofOsrUtwSu2/8BbpTxETx4upFXk3Z GMMZZ4bdFWb2Pob4TFC+bngzxNogsYwzMdnbGlkv+bWpqFoSCMTgsoERWy8EHH3Y9lvvWr3znrW7 7l+Lrz6k70qNfe1zdT2UbHzfXAlsX0ju3W/uXeWVe9fie1HG1bCQbGi9Q0Plfm/flmZr/Tuu//Y9 3/4mAE3uG+1ickIASAEaABkFkHveYnupaF+E8idXvwzZJMEEA2IgAwAygHEXj4yx9PCfNibb94A5 7qQXnP78X73iQ3/7mldfcOaZZzKQANBJ+vrX/8FhD3/4B/7mbytXXE/JPInqlOvnk1ZaJdqqapom aaqTNO2laZpYdGI7/0GAoRQIHFcOWL1BeHoM2CiwATMbG0Rs7wyxL30TCkEpkGFY2TCUKVaKlEud /BH+rjIZMLNiY8AwGWcZZ31mq6qKmUi5MiImYuVspSCINvMMw0xgAjMMsWHOwIaNCQVrhUURrAIa 2Iqfly8iAQ01ggEYsK8VbMBgBvmYTNDw0g/A9QlIGS/rJsv6WX+t38/W+v3+mtMEpYi0TtgAiXZl yfbBBrlazmyYTZYZK8r9rJ/5JE1mCxDOz5N3TZBrKkI6zD5teyeVUq7jotxF2qfL2GbNmMwUzWtf A+1Nco80hyff1UZbBUPjGql2fDyh8LghCEhuuOd6bMskFlPfmiillCbFxL5q2fqUn8K4v+Caoiwz JjMmc1dojNVHBhPIFl3eyyNopSJ5d8n7Zobz7PrcejEsXHSNjydvaHzG2Eu8r+awtYHgnsO8OOGs GsPM9hCbAwYRjIICggy56ypW8VDVwZGo+jINBn04sTWsMsNZxmurAPqAAhShT0YDBDKAIhhXvWD/ 5PLJgvES1St3N8i4NrvPIEPwHTMnqcyK/UWZfpZlAHDvfr53f/b0U85i5kve/MfPfPrTEgAHHHDA ccc9ZVhJjfXUP5ze7tFKJ1qrNEm0TpI07SVJqtNe2vP/0iRNdZqoROtEU6JIK6UATdDExWI3DJA1 ygiGYMCKjG/9Q1sTXAIUbiMbJkUw9pdiBQ0oKFf27qc/jsEKZGAAYlZkrIKxYaWYFAgKDCKjQESs KHR9rUi6rBhAKaaMbVYAZoICM5iiRhgEZgKszWF/Bqko1Tl/he45AjNMkBPXFgDMUBqkSGtlDEgp ZkUMhVyfjOn3s/7aWn+tv7a2qpR2Lm9lAHZladjpAsHZquxOmBnTN1k/M1m/n1llMFmWGS8ByllW 3l5x9ozxj01k2ATLyouSIqUp6hSbzCVvFSd/EIr3Jgh2eCrgm5Mg8YpU1eR0+ufOWLRFERoF94QR +W6E1Tznu9JKaaWNVpo1Q7n2iOFL3goCXDU1AIGDqmYmy7K+yYxtqKKrs1YlKfIdifCI5T24UNu9 QUdETl9JqfB4kvJCakcroueq+CeRrSRs2GQZ3JF5A8mw1xc7gUJv0ViDwT4RweaGtX2yzGeT68+N SOkKGG9T5AcYZtNfy0y2trofDA0wwZk3oATIFDNIAxlBEwEwYFU4VX6+UDedeoMyAkEZApgMAaDM PZJkXH8Z9kMGoL/Gph9M9Vvv7p925q++9a1v/eH3b0wAvOxlL7vq81+oXGs9RePUtdhuNMr3jZXW 3hxNtNZpbyFJ0yTtpWkv7fWSNPVma5qkKtEq0aQUtIbWpFTUmhKDbe+FjW8wScEYIjIMKA1nAsbm XG7R2zJWio0iIrAiVraSuMfD26oMEDPYEDt72XamGYpdh4oUlIIiWLPaWtbhifOdcRAzGzIaBGQG 0EAGUq7v64TGNd7OzHIXCmJmcg97/sSH+kDG9Z+jSs2GKWMDhmGQMkQaJmOVkGIwjIIGBRvES6vJ TJZlhgHFzGDFyJShjI0yuccDBCiwMV7FQxKZN7Kc8ZqF597dVM5NyfxxsX0NJ6q+R6qUdgrln3tr srksmizLsvDU5U9FeBgZVshyEzY4fbyp7rtQlafZ25Kx+ev6SEHBcmny10GwI61aG62NYs2aNZK4 w0bEznh2umDbVGJY1XLWqvXEZFmWZf3IyeFrZrCzc3Gj0IULNypqjqNGwEurCp4w3zcItc0d4D8a wzZH+9fW7I2wrZGTdZ9qSVOtX8l5twqaYIhUlunMcL+fZVkWdyYAXP53f/+lq79ULpGIX3rSLz73 tFOjggII/VRhbTVbXVt74H5nhBISEDmLFQClgCFKgIxYhaYT+ODXb/zcjbfblI7/qYN//XEP/+A3 vn/l9++wIU99+EG/9rj/QqCMiAmAst1/uO4/DMEwjNcXA/T7fddm+Ap56z3Zy3/v9//sHW9LlE5O Pvnk9/zVe1uuMFCwT51xalXUDe0r65nTSZLqRKc6SRKnqr0kTdM01WkvTZ2wpmnSS3SibaNPWpEG VF4ZfQ0A2Br21u3FpBQxlHGtjUL+0BW6E94+MVBKeUm1qupqijvCPVBW1GwzlYEIKgMbcjUsWGNK kU3HZY+IrLHpnwmjmAwZZfsgRIyMiTRZJ4BXGJvF6OZaH5l1sVqLOXxhlZhYMZiZ2DDDtbOGYWC8 O5i0IdbsDHYiwCiyJoXvi4PZ1Ud22u4sZecRdtkAA2T/doaDS8X+M7lL0BCRTTP0MigS//gxDELr 6xOU0qpvO9AF3TNZENWsaOuUh3rs+ULNBGC8X9XZe87pU3ysozwABc1BsFOdRqpQCvZ6Mq21McYk hjlxuciskegqFoO83rnUvWgaw8Zw5nzGuenqNdU2OkGCbNYRPXbew0AgjkTRWXUcVNhfvCJybtb8 DlBs+bM1Qe2oRb/f379/1Z0sdxB5x673PdgyMK4euM6E8xkFcVBsC5CZV/tZ6c5/6eov/f3fvrta GoHnn3XuM55zUilwsZfw6prpr2b77/c9cddgaOtOJfRBiqgPtpZsOO/nbrw9nPH5Z53LWf+qm1bi kBc86mBr6zNgiABkpADYE3kPgBNZBnhtzfT79kbYRO59IHv+C371TW9+awLg0EMPNflYygAK9qmX VKunzleqtE50mqZWXJMkSXsLaZrqNE2SNPGSmiRJmuhE61SrRJPW1tpFbquGR9M/5baeKBAzsSLD xioNWxOVXRsSusmhDhKRIng1ZHIVLnT8cmeCUmAmYlJgQ1AEZgXXqyIiWIOclOsheVPTp+EMTyKw gjJWpFkpsCGVEQHGGOWfIBRrd3SToUqmCIONAZPtFznJspdNMPYxIRCMtbQzMmTIKCbObA/e3h5r yyhSWmmjSJHS1n0DUraJCH1Vsr7A3Chm21a7/jZ7a58UkDcT4b/gKQsOgDwouumsmLU2YGIdTDCQ V1WTGZMVJDXWVm9aesMXSuVJAwbGNnrGKVOlDxpZp5G552M4GVLuhuetg+se2RrgbqlRzMa2tQwV +ezhbxnBqqptC63n0I5fMcNE94lCy0awp8pNZ1d3fR8JoSSYuSC+TAwiTUyKnDiT1T4OPSFfVC6L DOxfXbvn3vsAOJexHyUJsyOjg1zv30prfuLcXFWLPbW61l/t9++/f3+hR9CN++67PypsBmGxp9ce uL+/uvrAXfdYjyoBfUUK7P2HVltJAcZ7S2yleMru7c8/61wro3//t+8OnwE8/6xzn3zoUv/eu63N FlTVDlVZPc1AJnIFGMbC6gP91f3sHwhb7baliu1oVS3bt+/QuuiMQWgnrZvR229AZrIkTVKdaGud Jk5OkyRJk9T1+hMrpl5ekyRNdJroRKtEK696JZMlWJFgwLaXTMrXSAo9TDDZKq8jzw/gZVVFZqby LWrkaYCrbsRMDNbMhpRRpBUxG0B5j4G74mj0g/zT6qqr9VYoIqNZGTIgAzJKmYyVshrLJvj6rV76 Ppx7MKK8caj3hg2xIZPZFO04MTOImQjgMJBm7ReGgbsZrmUiJnZ6yhoJ+yERZ4ZobU9r3crs7SAv qq7SuCsmRcr2EYIvlK0A5JIaHKrwZmt+r6PxJ6/ZSsVGV8EQtU+Uta+J3O0K/Zn4P0TPduju+FYJ Iaehl82hR5C3rxwCbXFwlhERB7ObDUgpw8Y26HmjYxs5AFAG8M2kS5g5iFlkrjsPgx1lgW/FnP6x 80sRkR//JAB2+JW9jyG2V02YEuDukWtu/MWTFygDqvipGcycZdnaWh+2mQgubyKlNJFRSiHWVRP6 L+wfBWfdKyI7sGSHafv9fpOaPv+sc0shQezW+plve32PwA4gZ5lZXTV+qAqKAGP8c8Php+v4uv/P POwAY0wsrCEDTz5k25kP22H6fWt2MGxXFX0CmAxgGH1bdkYFuzXrZ2zdU1y6Am5U1Scfe+wjHvmo Qj/LVwWrJz+6+Q6b3j133fGV/+9fty1uS5I00V5X016S6CTYpW7cP0mSRGuttff15zIH10NHpTnz HVprbbECswKzVUDvE40Elm332amqe+IU+Z6M60C5ExX0Iq+DpEgxMdmTuy5ZSMx3yvwd8dYb4AbW WMGbjURKkXXH+UfQfrDPOnP0GLCtIvCigPxZJlZszWfOiI31hBqQ0mQ4M+wklpSzxv3gp79vroOm SNtZJ2F+UOjtQancoCM2bvYFB2F07alSSmvrRrGNjLsqMrHGgFnB+heNdY7n+hL9JKXg2lMqXDnZ ZyKqDYUhD99RDlZb3r2l0K8oFFIoKWuxBUs0ipN3DFyb7M/t9MkWlXJ5tMXnWwzDrMn1kIwbiHRp BVk3oQ7D9ZWINGlWrJ25z6w0O18Qu2kBwZnjDwEHp4a7aleHiN2MlHz8kGBNOgqRfAseN1fhHhjD fWMAKCbDUMzKMCmlGIqUKehHaBTzACKGbQWIiMhkJmPDzP0s7wqH271v3z774fdee0GoN29/4yUh 3I2C+UcbQGaM6a+xybK11byLofy35AvWlSyKHXA6c/cSsuz5Z537nkvd5NEXnfPKYw/qnbF7kftr sH43EPtSM8hV1Y9W5arKWd+YLNTMmEZVfdDygY8/8tGV+DlHHf5oAES4+gv/wgxtxVJbv6rW+u5v vvv33v6vPvaL/vSjZxz81Tf+6mdOuvx1x+7Sduq/Uorozqt+5xlnf+xZf/XNP3n6Q62pd/27l07B l7977tHuboW+A/kOsBtA51D9is+qtSy+8f5HHv/mPL8Xffimlx5JiJ5B61REOINrhm2psB3CVsHE CPUaBOCWq8595EfOuuFtJ+zOCw1wJwcB7AwKKGs23nnlbz/rv/3CB799zqN8Zr/9V7t/C//0hd88 8o6rX3zqiz8GAM96/xVvO/FgL97B0rzjqrNPffHHXvr3N535GCIyRMjAZMgQGwYISpm+exZsF0Yh TNVkKCJmzhTAtl3RIEXGeFHyweRkxESKELeqVguU0oahoECsVO54NcFmY+uoCM+gdooCIE/SjnBw eOPOS4Bvv4xR3vNYqHbe9A1Vwlv34dA8jdhzHgrJVRF3mMqLPj9DPpjDQeIjo92NIbhJy15k7YAh WSOA2F+q62sFW9m39UxKKTDD9hHIqSqKviHf5hNbwQ6u4qhLE4Q1tAS+Q+X7VcpWaFjPd/SQkGvu /P2iH9/2k+u++wOyczPcPAellPrqVZ+985ab0cxBux7yiyc+w6XkJ9yuPeSg2+68685993z3Bz+u HvLAAw/YD9++8cfOUcQmDr/+ez/y/nhXJmtru+761tfv+uEPf/DFqzRAihLYiT1INDQ4AacKRJQA CWCttLhwH1h4KJKDwykA7L/5P+/8/o9CLWBCBqehfaDPMEwZKAP1jfMDWD8Ydh648qMf1t6NRlXV im78/q2XX/0dUkyKSbPSfNITH7171wH33HMvgO07tn/o898D8IidIAWtFAF+8qntauOXXvlnv/vz h6RpmqQ9pe5WznRznc4wWxzAJ//rh6//0UuP8v1q+PlV+dwnq22K3IxmZ6ICYHzjnUc8E5ff9JLD OXQ12TrZXvXJn/zWkQTCd/58+fTD/vXSf3vf8bsQTuJF1ePsH4TOFefd0aK7wD9sJWMosgPc91CG oYjNIUf/xjPwgTvu/J3DD7bV+utfvRgvv+IJ6XffdeqL6W2fv+XYQ67768N/+e1f+Pobj98Fd3pm ALf+09tf/DEASutEsSEiBWIYxZlhYpBBxrYDTgYKRAYK1rsL5R5pcrPImBSBlQqvHRCcE9c1N1y8 GvunlRM7+qGISBMra3FbFYXhTOV/cXgWot6bT9P5vnNblZyt7CcS24IJiZvC8bmk5sZqVKAFZaU8 JPSCQyHlwkQuMHr8OD8Jh+O93rJysqqV0qSdsAYfO7u7SPlx0fsf7KwhN+VBgZgzEKnc88yue+/u YO61C05cWxD2Im2TSeQcUM6Ktn0y37TaCQFRcYReK3tvrOuw2PMwwbBzBlnHzp233DxwcMn4EVby A/6Ze/mE+3ZiZ5G1NfdqwMff95e14f5Z9j0Cm++sD2PM2pq9NOP7dMbYW2DszEfjDE9wNF/1H5ce /pXk4D9562vDKf7kra/93d//QzbmWff9IJQXw87/h7NSGQbKQJmiqpos44bhqLa3/on0jfvuoYR1 L1Op0alZW8vAhYR0L7wWEmZhqLwgUXz1BK5JVPmfIAKe+4fn06tP3/u075z7xII1iWAqhJ6Kc3b5 /jEAYjeLRKnYj2f70korDQIdce7dH6Wdp13x9W+f84Q4+eIFu9vq0/YWUNGSgXf7E/Ies/vF9gqD AcAKxIqYiXY98bTnvuCj37zkuKcdCgZ/8wtvwxv++nH6P/7idXj1lU/ZnYCecNJ7TvuTD33jJyc8 9CD7kDIA/vYnfu0zr37Dy//oNay0ShiZFT8iZlIwhjM7fuem9ynbC7QOVw4K72YpWO+dF2xvifnf BRmy1+NdZjaSUsowgVkZ53+xU7O8xno1jQShoNKcJ+sCfM3ws9zh9I4jakoqKrJ4fMkGUfRdXktK ZQg/YS6uCT7D1oaLCjY3NQmgYDt4+wF27nt4scS1GCEf3vb1tcJOFzBESjGMKy5wUHMn3+S9rLZn ZhtCFduD+fVzuPbYfg8PHuWZyi0Pn0FngNt+g05S95Ban6Um62/4yU9+0lYQ8FNc4zIILXd4jCOs tL354vNRFw67JoliY5h8HVB2Rrb188K5rMj12kFkQNq7E8MJ3bH/uHjYV9JD33zx+Tb9V5x/sT31 my8+/xXnXwyFZ99/ky+uUIgA2UaRAP/Sm31gOK+wVVRtKJyrGIccvEC9tX1rd932wB0333+rPU9o QLc96IGlg+/NsxKVIYUCjsIJoB9+5sLjfun4J/3ccb/4+1+6I5iqj3nO//xfJ/3BW668FfHM/Ns+ 88JHHbpo/73sMzcT4VuXLj3m0mvtfbv+0h2P3fsNuu7/Pfzp5wPnn/bQnb/7uVvdtAT3ug/sILc1 jo98yiV43ZXXA8C1f7lr8TH237uvDeeyIY/d9Y7rAbr1U7+7e+lw+++cT95u7+utn/rdhywdvnvx iN3nfQSuyIivvWz30hEPWTriIUtH7r0WBFz3p0c97E/fu3fH4w7b8/nblB8r233UC5736Q99/U6l lVb/cc1r8NqnHalvv+Pf8IxH77a+k0Mecgz+4T9WnM9ZKUXq+nf9+h9d9NcvOp4AUlprvfLFFx// +Ic87ejdJzzhIW/40h12YrB3WCd2KoYiTb47YDOZ31PyJYOosILJ5quhcTNtiormhgKU0xU/j07p RCWJ9n5zNwyZ2MlzvdTNpeslaS9NU9txSXv2s/82sb53O5Jp00nd9Lter/DPHZIn7l33aZKkaeK+ StI0jJcm7p2TVPuYqU1cp0mS6vxfot0hqUq1DqMBLjtpkqZp0tNJqnWqkkRpX0phypHvhjtvtIF7 ATC6sWy9ptaktJP0tLYvdiuttbuNqU4S+zpikqZJYq/R3iX/lfZ5TlKdJCq6BJUkWkdfaa1VonSi lT1LorS7KO0KLk3S1PUXlLsDSZJolaaJm/cI4L5WAGj7rPmZh4qUM5pc9VIo/EO/FQD27Uv3Omaa JEmilGadUC/Viwu0fUEtLtC2BbXYS5YW1NI2WlyibUtYWKLekllYooVt2LYNi+7fV9JD3/iG82zi rzj/4p8zd77i/Ivtn298w3lfSQ8NMbG4jbctYnERC4tqYZEWF2lxGxYX1NKCXuzRtp5a7GF7qnoJ tEYwb5G3wwNWqLrulpvuy+5LFjLd62vqh7ph26DtD7onSdZw94EFX49vVAm45pJzfhUA8KI//eSZ jwWAK//02ouv+NcLd618+dXPePklV37q7c+wOaBDn/7iP3jBaa/91L/8+bP9I4xDT3z/Dbe+30re Mb/2dy+59WVWF+IXRejxL/vuZ/HoE/CxW156ROQusMNRrjTjtpJuvvLsY776we9958TdwLV/ueuX /vK4+0+++YXH/voxH7vl/Ue446/9yyecjg9+79sn7gZuvvLsRzz50i9ffw7+6gmn4wM3XH/ibnzj HYef+OGTzvKpfeCGb52wG7j2socc897j7vstAvCqS/Av1/3oaGdzEAA69PEvfOae91//B8869NBr v3whXvHJJxDdQrDuMk2AN7q194de+/7nXHDeJ/Ydob7+f2DdK3zoL//FF68HQLdd+dunnfPRF153 7iPY93bgpixndl6WCTcDuXPC3aKS7yOnzjb0A/vBsLN30xvzftgi719C5cnUmZoc/g+d9djkpChG ITtUSY5Kv+v+qlB4y7OcROjrFPIZRbG3wb3r5GeU+ujRtAJ4k8f3bEIqzsNp30YBe6+Wgvf6Bg9X 6abZZ8zX6NypmqfvYngzsdjv47zI/MgS4OsCERElSZKmvbAWgXdO0yEPfdh//70LW27poQ97GKmk dN+Vsu/NgJQbIQ1f/fThR/6P17ylJcGfOvyIJEldpdLuLiZJwklCaaq377CeF+UWAWAFaM0gA+tm DRLhz/lz2V3hjD+n73p27y5kSRyC3lKec8D4mfDEUKy0cVU/8U8bpQtK1evnAFV9APemi33dy3Ta T3rWMg+DADji4IcD+M8f3x7il57JY86/9OU/f3Cv10v8eY6/5OXHHATg4Ce96JX4te/dAezykY84 +4sXPOzYCz9zw0tsUgDd+smXPv70f/CJRQlT9CH0W4kofuhsjcl7eLfdfA1O/c2Dbv33d16BT1zx iMf4eCfd/O+P/JsPnfTBNx8RGpuv//NFuOSKE3aBGdh1/H+/BCf+87eejDfiko+euBsAjvqVvae8 6sMA3/K1D38M//ixR3o5xrNvvvm3dgG45CNnH13IKgG7fuZ5J5/5ketufcodV70ZF//9UW6JEd9n y58B2zR9+8+PfcvrvvjVo7zDnRQR47ZPv+ZJv/JZl+gvKtL2ZRD7fjJrJgM/78ZqBzNg2Lvp6mWu puzgS6Fsr/p3HooOk8jNEFxgxaKqSRqRuBWi+pJs7v1zS8rdoOj/KMh6AErZLOTDz6jONdkpMcWT QYqHlZzz5DyQDCKVt7vwk2B91kqjC3mrRlFqsXKGzyFvebPlE4zfLA0TawnU27YIky0sbPPzZYPf Gsc8/ZQ4mfiulXxpcdtox0UVqUSnxQj4mWN/+WeO/eXouPzdk+Iti+olQ+s0TXp6oZcesINAKggo 2bEptiKrNAicwMBbyABOxurJuD06446Tsfpc3I78Xu1gIAMSoM8qAfr+/ao+QMY55foGCkCSqKUl rVIGc8EpyjxQVZPFtSTt67Sv036SrkXXCgCPftAjAfwnbs9HKNxkk2hQwvvGuFzFCneRAeBx//dn Ln7MiX/3s39oA659z+NPx19/7z9O3I1vvONRURHE5kOpxlMpIFeFm6/7mw/jF151CP8ncMaf//v7 jz80RLr5c38TyUDp0FKgz7vJ0z7j3f/2vqceGl3TNwpnjl6y2XXkC874nf/1tRunsxcAACAASURB VKt//ny8/kuPBYF2H/Lz+NQNt735hN1g3H7zl3HyCx/sSvnaL18I4NifDSbCcw7k//0FPPdX8OfX f+lpu8x1f/bkU92bXX4imR9qJzepxBaIMe5Kal3r3HAnO/wdAgmwj6t7nNhlopVopmhdzPzxHJDM 4Cith5eO59rz1pykYOe64aW2POV2azGKX3ON/a0Mk9uc9hJsm5kLWuzSK+TfazYXpDlWQAoJucNz m4527jyQTX/H0uL+tSxcX+7urtyPwpnrLtm/s570emkc3lRkFWGN2zQmIE1SpAtJb3HhgAeF5ich dm4FxYmCAjQMKWjf9uiG04Vz5WVBXkAMACg/j0oZGBMsfgKgF3dkiwcsH7AdDGMMFVJsnq9qSRdW da+fJP0kXdNJH/FDyFjr9/trfdhQLmBft7B6atwLw8YAV77q09/5/G88lm+75j1vwnkffQx4n5Uu K8dHPv89pz76Ra8FLgTf8qOv4swzH7+bGd+6+pXAm8A46FFn4tc/981zjj7iG+84+XXAhXF2fHnU tHo3X3nOI8++4pIrLj2accgZpz7vv73mk5+/9FmHuO93H3nWGZ/4jfOe97X3P9VK7VFP+x845rR3 P+1b5xwN3HzVn7wKf3DNYw/6z2fjee/6zK+87YTd37r0ked+DM8+C3zwE08/5XnnvvY3r3zXMw8u FVhk+/nBGTz4cS985sfPeMnH8YpPHm07e4899mI8601Xn/Le4w699hN7PvyMy950EP/7+37qWHzy 7t/4/t2/4a7j2g/81LH8D3f92kGfOh/PO/lxuxn47r/8D+CNuXaHJs2fkAFj/CBmuWHLc1W+WW0G YukKK58oF44R9bDGzOt+8JAUbO26DLQKe3jeKX4VAoBfRawkNNUHOGQhFIT3DThtzaWUi0Mj8Qm4 mmdrOvsT5Bqdj8CWro2Ae1fN4Ucd/U//9OnnnPqC2/fdt9p3s0WDJZsf1nBHCs4GAECvZ98M0mlv IY9WOqo+sZi8KvR6abKQql6vt+MAEBSMnTulFDRAhISgwG69DmJYhW1OuvpVHwCUYhiQyZABGu4l EG3QB7RO9MLSjv/yiOtu/8nP/fwxbFeQCSOjYOYWVSXav//+Xzr4UaSMUplSRimzf//9wIHuWpnt AhjwomrYvjfE/vVxfPlNL/51G/vJF7731YeD8dTjrz3nuGMA4MR3fvyFh8PN3LCayIxdT33DR066 4nmfAPMhz3r7Z7/9mKMXw81l8EEnvPICHHPKrlcCl1xwIS6yFeyoX9l76iNP2fWqkz5ww9tP3B1f xEUnLl1kP536kc/f/MxDwime8LzjrrBfnHHp19731BPed/n/3H76E61j5ZLLf/zS3/raR776xGOO eD0A4JSPXHXO4xmP/+NPX3LUMx75jwBOueRVp7zq35gZu4678MPP+tnnHf8xl9o7v/Lep3jvYknI GMChTzztZHzq4xf/4pF+uPfI/+dvX3f+Wb+wEwBe98WvPG2Xwa0MIB7oCJ2hQ575Rx//zv/1pAPj JJmZjVt5EARjYIydY+Laq2ofNvYbFsLrq0KFuniFJm18JpVOB+pNTKoNrT2ci7H8zeWKzMTaGqty +NarZa6tKKTuNTZqv7zelqL51R2KbrHc3PVzO/yPW+5aO/XZJ7z29a9f7a+d8pyTDn74YZkpFmlr Ixj/HQcubksPOnDxyJ8+uBKrIcUaCrVtcaF3wGE/ddiTnqIA/wqVm5Rq7e5EmRDS5RzVCOzn+QNg 5owVMrAbs2BOerc/sPpvN/zgw3/xrjd86FM/vOPeLOv7pNyLPaR0csMNN1RXqj7zjDNPfNqT77/v Hld2KrEPepL2iKjvX9MG8H++eu0nPvGJBy0v2/em3DBwLw0Du/6zXWU10dq9t5qmPd1b6KULSZqS 1lppUlpFr8nmtarL/S580Wp8VXr67Qlw/Vd1ll7UYalPoaJwXA7kQnjsLHFDRnYtFTAjM2zc0iow bNfscIGZDzTeJ2NN16aLHllPux44V9R1+Ec9MIhS23c1x1YmiOWfqPwFYp9AIVoYBKwJLFqXhO0p P2SnuuIfP3vdtV+99cc3NV1UXdtT3x4B0DSgggzbej74a//0Ez/51Y5J+HcO7CCie5HMvjTnp0K5 uIXWhYEw7uSDw2qwed/brohkmNmuqGEA7Nqx/ajHP+G5b3jHbXev3bu/cIFPOuLQxz3hZ+ttVWa+ 8cbvf+7qmnlXduqSybLw6syNN95o121zg4bGkMlU5toPIlKZItJEGZQCKVLGsCFjMmZtV6J2byBB 5c7NAXrahBepoqOjJXKsW4UUqsdaw7CaQiyE8HGoGFaQ2UaRZaCyfHX4yvgM2Fk7hvNIhq19aheZ sq+Outn/uWfEz/EFarI3oHI3G6fraFOuN4VL63qnmmLlUyZqIkeJlypufIif7lrMUjA9gnrHBRM+ u9SoGhhi3rem7nggef5pz1l8/snlHLbaq11uSVucQcdvRB0Lr0sUxoYAP0sD+P6td6/c80DJKWKV uKyq4dn/l2u+dNXVV4Y+JpDPb3SrV2qltdKkdaKXtm9f6/ddVLuWJyNN7KgVg5RbhsPPdgQpKK0M Z4aV8XPGmVjBcFsJRvkc5g41BOWdoFIcKktoaSJ5LnyRBtcLbrH3VTwQ5dMUc1KNxn7VqPAysgGM e7mWDNi9YBJNbY9ktTDA0lUT6+Jtej2Nqb/M0U1X+0WNf5KKn6j0VclgjQ3V4iHh+SmYpeU4FAIj gxf77u/fdX+/bNvGhnOh9x5PCih8m+e3fC1E5Rjli41pH/HsVAhU+qtDlQ/rG7qlKNfsxkLGZG6w xK0na9MrFI41b5NicvnzbTvypcBcWIsrATJ4rb9mU8yM0UbbEarMZs8gsztBMTTDGDIghobKSBtl WFm3IDEMSPuLr3SWO1LpoFc+1n1V1yXO39esPUXJLq7xX0aKyfXpUBwnP6iclIvGTlvJwHbtyW4/ YsguUMaAm2vHocqzu5LSlZYrV7cbvaX0NKbrJbd085uOKCpH6Y8a5S3oWs0YPcVCVvQSlOKUIheS apDjkOFq+rWRo3PVGUuVyNU/a4OGrYGt6mzt9/gB8HtzBCMxy7L+mjGZ8a4BfySFiabO4ufiaFXN M181CK3LgeDWvHDjUkqxZsNsYDKjdKaUNsxZZrLM9Pv9zHDC3DPGZEhsRxXEpEn3VWK0NVcJIICg DUCDnDGFTJYyWM1yDMWh4UeLFxVW+yKZK7yH6cPLYgrksfLoFP9ZSSO3KSsH+rPkTlJiN7gfzs5w uwvALdpu90exYx9Uc12FC27vGbR9ubUYwT7qcmzNlN3ikU3yWhHKPKV6KzX+s/hWB9wjWDxj/K5B MSdFu7UxG+VrqdO4gRGq1FudzQcOSDLyuxpjZ4az6/+7PTCyLMv8ljK+725vYd5EEeI5AF0l1a8c Drt9GEExMbNiNkplmVFaqUxppTM2ic76WT/RiTFIDWcZpz1OQQaUsVpQWulM9Y3OjDIMYr82n3+b uuntnzw7pU+MWnWrhha+jfeuKqpYaeZRbnUSKqZfyR9Q6v6XclaKBm+0tmTYSircTDW3/qabMxst 3+VGfP2sRCuppqnb083yFEktMY7d2n54RU0KRugw2hpEMPYF1WhiRYILnfrSISi7BYptQI0RXcxq 9KnBPqXKH210Ed/6PFRg9z0DUKQyGHKGKOC1le30UOawo4x7i5TDXXQ6nORpxueok9TwFfmN3oiR uT84yzJNioxSRJnSOsuyJNOZ7uvMGPTZpIYzNhmTYTKsoDQlPZVlKmNtl3I0oKz+0lu8qIVucks0 Lv4Ox8bCV4xRGN2Jb0D0KzqKSgnGf9aIbO2Hqt0dhRi4Vwz9Khxk/ARVtzUMwy9EQeFVFa6V1KKe tuvmsL2tLU6dMHaOHH9VY9BRwx8NadVLV2uv21f5sukcv3dQObzGaK2RVEL9RdUcMtRtqY/WKVal JWC36BZRsWPvxqiiWd/sn8Y8Tm6fNY5WRUHlAMOGyK/JDmcjk929iTMiRZRpo3VmtNGkjDFImI0h w2xYgzQrTf00Wcv6qUky0zfMBolC5k7nN/pquDf1ZnRznJLy1ohIyfbkQnDR5KSSFHLxqNhurlrB 1a59rbKXDq60BH677nBOCo+Cu2mK625hSIiqfwkTZiLy2iBDVP221qQtGbMVi5IaLNaaRCpGbp5Q 0+lKgeV8Dmw5GuJUGRylOYaXTfu8+MXBnKXqLz32Jfu1xO2UJ9hPwcgnEFHjaJUPqgZwiElEYVFh ghtuAoxSZAwbjb4xOmGADCkDxQSoRK2llGSqn6WZ6WdZZpeyN5wx271DwqmoVgHr8xWF1+tpvc4W A8tvytcamyVlLMbhkkFavqNV10HxjP6Qek8AxwlG7lquXDhKFalqBYuYrgv5Te5w05t6FY0mnnsK i+FclDYu6lqUoO9eeTsyzmEpt3GaXMhoOIritrpkvVauIg5vNp9KOawcPojKzW8TVzv+YC1QCrco 6KWd+ARjFNiE/RVz/Y2lt3606rknPXvnjh3VUzernM+6z4pbhM6u2qjsbn9Ka53ohHSidaKTxO0M 6BYiCwvC51tXt/dMC+cdJn5VgMoBFaWrjVaNUE2kLVoHi7t8VHPGWg8TZoyRGrT2g2qkqa6vXwhp 6XRXB/eb0mnvuXebzdqUq07xJw0zM2twan2odn92N63KTWN1rcTqWvat79/qx63ckpC5rVqS1Kuv uuqy975vlBz53oHfNoOUyleNTHSS9Ow6mwtJr9db2NZbWOwtbOv1FpTWbiFIt+OYGFKCIKwzriNu MuN2Z8/6Wb/fz+x81XxnNqukpzzrxGc8+znf+sFtYT8ba1LWvFu1c8eOy977vhu+e/26X5IgCMLc cMZ/fdnJp5ySG5DKq2s5onQYBUEQuuAmVhHI7oHgVsovqqpIqiAIQjf8mBXCi/zWj+w9AKKngiAI I0BBX+2f1lYVSRUEQRiR8nSJmrX+BkyfEgRBEOD8qsXpSozSu1Wip4IgCENh382xqx3ZP6I3mURS BUEQOkP2hTQ3ydWtusLBVhVJFQRBGA27nYlxr/PX+VUFQRCEDpBffJlh/HZX4LKq1iywIgiCINTh l4mheDH7tr0ABEEQhCb8wol2sa58NkDjXgCCIAhCC26JKrfCdXgTgBJUF/GchMAuLy/Hf66srHSJ PzDaONkYKvE4P1PKmyAIc41dAlBpFbb2sq9ZFfyqdtbV+AQZsqAishNkeXm5KfE4G1PNgyAIWxC7 WpVWWiultdZJYk3X2K+6gdmbPCUDc2VlZWRVFStVEIQqiohIJYnO9wMAKVLBrzrFc5dUqUuvvClO KTz8uby8PFD7WtKpDS8F1hq8LceKFgvC5kZppUglSUIgKFJ+z5XqfFUef7WVIEBVkerSK2+KUw2P TdHu2euYfvsFjnysIAibA0WKFNm+f6ITnSR2ScDSXgBd9fTyyy+vBp5++unhc0lYW8zVJtrjzJF4 1d4rQRDmjj179uzbty/8abeqUjpxewB4YlUdzkTds2dPKSQ+nyXW1lgHu2jiHOlmO9UbJQjC3HHZ ZZeVQuzEqrCzivI7XQdVHaXXX5VRy2xORerie50GTXdJEIS5xk6oClsBEikbVppZxev5OkDLpKiB cQYeW+v3FARBmBh2/r/dWRXKL7cajVZNUE/jjn91hhOa/a3tcWrDW0a9hkqnGj7yJQ97rCAIcwo5 N4A1Ut0rq3VvrE5CXVv62i1KOvDwLseOnE6X9Fu8w+FPEVZB2IqwXb3KeQA4Ct9cLwOsF2KlCsLW hP0vp6lgWbNqMthXEoKwztpInSAIkydsWcV2ySonobJm1cQQJRWELYZfXhUgZrZbVzOScjRRV0EQ hA6Udlf1btVYVUVPBUEQRsb1+MMOKxx+s+wMKAiC0AG/G0Akmn6P1UhSJ3IqefN9wym9sFxlS5XR wLshrA/nnXfehpz3LW95y1TSdWtVl4nmAETiOj7XXHPNBFIRRuKCCy7oEm2LlFHHuyGsD3v37l3n M5599tlTSrkgqIzivlXRiwHMXCe+o/DOd75zMgltbW666aah4l900UXdI89dGU31bgjCSDhBtW5V CrYqeVuVSIatZo7DDjusY8zqsjqbD7kbwswQXAAMVN9Y9TGY3V6BwkwhbsEYuRvC7MDsl1VxFFet llcBBEFYN4i817E1gmUW31Si8APxp+pugBPYYUUQNh/T2Jds2JWIp7rB+3pmgzp0iGPNtUuYzqKw OgqX42ZWRZI6nXPWtTmllqracNU2ZS3N18CmT2inpZhKdC+UarTRjt1YSjpS3d5CGIqglRudkUlQ uQg3B4DcKNVULrJLm1OrsKMlJYxG+70ttXbxt93Ld9iTCuvDOM3DbG78sd5Q9DPyADA2zlKomjAj NGUhsjyZI1AqAmbuePM7HtilQOeo1Epr6VY3MI+3VW85PD6kNp3a+FU6bqheuwRwyGrTt01nEZr6 9nUrAa5v3ZZu+1C07HowWUYukXXepKcaOI27Ea/0OFT68V4V7ZtjxuHt8Qeeq3s61WSbDimFt6Sw 1WCA3EQAR1gHgAnTGqmK+3eoe+om9Ryu875bG0K1Em+Cah22/B32wPW8GysrK9V9dGq3R5u1Emla Un3W8jmHFMajgvZ4VSViEIiYJu9cDWLa1A3s/jiVBLophU3iBW9g2D3AJ0K83TkmbZC21I2BrPPd iLV12ueaFCsRG52XzUfNk5CvWWXfEFh/NRr2cWLPNDM168Q7Ia4PHIEZa7fW4W607KDTZYNLoSOj dVk2FgKIEZujCnD2q1tdZSMWApzUgzqPRTIy0356R76TG1IEomUDmdLWatPbsW2g53C2iHLnZlax fZ+14HJd3ywxd5lY0zLhsWXqjzCQ0v0fqusw2oHzRWlfMlQ8D+MYqtU5AKNtgzaRdJoOqd6B8Rk4 xDKnj3C8FwCj1kkwNuHBC3+2R2u5lR2TEkag+70tldQ4hTJHBTqsYnbZ8HzMDd5HPqR9JsCk9o3f GlB1on++ZhWIpmeq1j4to7VUXaYQzPLDOct0vOHVwI43vHv684V4VLc2ZdEMe6zCf5j7Ki4I64lI qoAw3g8gt1XzfreoqiAMwSzo6SzkoSPTW5l/I3CLVjEV7NVgq9oJAGZzjjXMObL6cozcjfllWvtH bTRU3MIqt1Xt6qviAJg1ZI+QGLkbwuwTra7CjIntWYULLrhg2C2GhFqmt5ndPJaRbO0nzCIMUD4V IB6tIqbJWKp79uyZSDrC9JAyEoRJwdH/iDwAYPsqwCRcALKt0OwjZSQIk6EyITWsrgLyvlVBEASh M3aD1dx9mkThMAZT2g5AEARhc1JZ58/ZqtaCJbKuAEEQBGEwxRVJ3G+nqsxkF65mswGLAQqCIMwj Vi1Ly/17vyoYRIbt8tWCIAhCF+z0Kbi9VABEHgACCP6HIAiCMAiufADIqapdzZqJSERVEAShO+SX +w94vyqYIJIqCILQFQYYbq+/eMqqVVUmv28VxK0qCILQFbtxNbk5qwAQPADkZ11V1rUWBEEQamAu bu7kTNNotIrsRADRVEEQhCEgPzZlUfk3DCLagB1WBUEQ5hMGgr0apDOoKoHBzDJgJQiC0B2/vXBu rIZ3qwwIBLFVBUEQOmEX/+MmD4CbqUqlGQKCIAhCM26ACjUeACuq7LYEEARBEDph11CtzlcF3CtX TLJolSAIQgdK3XoV7wboVwFkJ7LiAxAEQeiAdZnaZVTYLahqV63O56oyc9eVAGUDYUEQtjzMTlRJ +WGpBPCrAADGdO38y15ygiBsdYgAUq5zn5ujua1qmO3Mqi7KKnvJCYKwxQlLVpN3BFgXgIpiEFMe VRAEQeiCn5ZqP8fzVa0hK0NVgiAInSB4M5Q4F89oZhWDiEjWrBIEQeiCnz6F4oTVyAMQ7FeZryoI gtCNyBAtrANA4lAVBEEYAT/En++l4m1VihZWFXUVBEHoAtnNqSjeuSr2q7KMVQmCIHQkn6da2GAl XrXaaaroqiAIQleY84mrlnxmlZ9YRbLJiiAIQhfs4L/t/BdsVXJGrFtkVRAEQRiCyBbl4miVCKog CMKQUFiz2voAON4NkMnNZxUEQRC6weVZ/n51Fbc8AJSCeAEEQRA64pamZnbrq3IYrbIrAzKz295K EARB6AIBzG7GKkceALKDWYogtqogCEJXmNnu+uc01XkA3BarCjAEJaIqCILQEdftJ4RRqdwDQN5Y FVtVEAShK/E7AAx4W9U6XEkBZhJnWV5eLoWsrKxMIuG2041zilKGR05q/JwIgjBfFPZXISC8BeD2 BoiXtB6bFQ/qdHZ2CFLYPbfLy8shTvxZEIQtRWFOlX/DKryx6hdfnULvf/aFdVIEXRYEYWvhJ6ci zFcNG1kVPk2NWGFjGaoN7xJ5YOJNiVQpfVs9MLZS42grKyuxB6DFq9D0VfdMCoIwI7hBKmY3hSrs Bkh2wuq6vLUa97hREalSeMfIAxMPVNUqxKxGrk0tpBCfvUkEJ5hzQRBmjGCKgiJfQBitUqTYMLib sF5++eXVwNNPP717dtpVY0xLrSnxFu1DJKwt5ur6UMpA7d0WBGGd2bNnz759+wpBYUIVIchqPl+V wcSkVNelAPbs2VMKKZ+vlan2cEdLPNbWOIX16YxbB0JQ8Pik1VstCMI6c9lll9UFe3cq29+M3Fa1 gYphhvACDCWjM8vsTIeKHayxsm+O+ywImxk30k+wqkp21WrAmKlsB9AiW01fTUTpJiuX0xbf2RF3 QRC6U92cWtkAuwWAUpNcuHrZg6JYNDkxa8M7Rh6YeAvxIV2yFIeXPndhgjkXBGFjIbgdq6KJVdFo FciAibqOV7UxUBHaR43GiTxsIgO/7XKW2pkALZ7Z2qlUAzMpCMLMQf7FKc47+dYDQEoRs2JisOyy Ml3EFBWEzYTzAFBRVQEopQwbcrIqqjpFWsb6BUGYO8jvTk2F+aoEEBQU29kBIqpTRpRUEDYH+eg+ MfwcKzdfVSnNxoBIsdiqgiBMgAMPPHCjszAcL3nJS974xjcOexTl0wCitwAIUESsld0mUIxVQRAm wk033bTRWejKZz7zmdEOrL7o7zwAWitmAMwMUqKqgiBMhp07d250FqYIBVs1Us0wB0AzGIaZ1mPN qolw3nnnbXQWBGFL85a3vGWjs7Cx+PGpaLIqQM5WVX4bQDNXcwD27t270VkQhC3K2WefvdFZ2HiI EJZOCRZrbqva7r8Gy3aAgiAIXfF2aJg/FflVrawyIH5VQRCmQO2L3fM+0TB/C8ATZlb50aqCg0AQ BGHClPbFKC28OV8Q2dn/BdUMa1Ypu6W139d6/ojdwcxc+20Ir/Ud229LMZtSaIk5QrarycZZWp/w 2syMlo4gbBWcasbLACAarWJiZqbJjFY1mfrVdZ4m0kzFcmDX3+rynI+gBR1T7pJObQaaLmR9wtvz 2SUdQRiZlj3iMEg0mhaQa9ovboLWMUfz/y1utEorZYOZJzmzan0M+5JCcfR62ETMyerpNp+CtGur IEyQgUu11a60WXUUtOyHVD1qYGojQtE6AD7MrwSodJDbqT5aw17JaPbs+KoXbkL3pGp7xCWbDnWi 34WmbAx7pdOOH+hojJdONCU3izBTtPtVBy7aWT2kSSWaTNrJQn5alZ8KEOYAKMXroqoD9wWwTMrI LRmwJTOzxTPY1LetTQdD9oiDsI7Qg+7u9h0tnUnFH3is+BCEadC+Jtyke88cz1UNOA8AKVIghnUS TExVuwtlk30+VR/CBB/j9elBd5fUoP5DpTPseVtoacY4vBxduWOlo8RQFZoI2lI1P5v2f5sSfhPA kgeAoJSbpDrZ6aqj9fdnnCbBqnbwJ8uwVmrThIf1tFI7piz+XKE77YPeXXyGEx0nB5DvBJi/BUCg RGtvPzCRGv9kozGpVmX9u5PTtqrmseMfp4DO4l5qtMRQ3Xx03FhotPXdm46a3mrx1aVTvK2qNVrn cs4ytd1GS6nLOSn/3WTNqwlmLLBRfefqDUexs99xxpv0/Tclw24fN9SucUMdNTnI7QNoJ6wSwGEd gGiHwA1X1RHmtI5m4FSdetWvWgbfS4NdtW6BgeHVUbKWC2kaXquGj5ZOE8Om34V2z68gzAEMgJ0T gBDGrPJ9q1wUbMybVePb57UP9ggTkrofUjttYPw8TPVC2uVv4DUOm35pAG3MxAVh1ii8ieo/5qNV CJI6CfNhBNN9hB2nBUEQNhI/UFVeXYVAfi8AAFCbd82qmbWAZjZjgiA0Yef4U+j8l1YCVErbSJQv EigIgjAWI28GNS9Q6PdHuul3A1TEDEUEzNNSgLIauSDMLC95yUs2OgtTxvcw/buqbtK/W1+VSNmQ OZqSveX3zBGEmWaEXaDnCyuqYR2AQGJDtVaAm7E6L6oqCIKwsZBdxQLesQqgtBcAVUezBEEQhCYi d2p5HYB4OraIqiAIQicKS1I5P6tfX7Xw7r/IqiAIwgDY7q9StkTJzwFw86nsSwCiqoIgCJ2gfCcA 1+X3cwAUlacHCIIgCK1Q5SdKb6z6eCKrgiAIg7CTplCYAIDojVUdgmjzvrEqCIIwUaJ5VYXVVcQ+ FQRBGIG6qVPOAwDKhVUUdl4477zzJpWUvKg2MhMshU3P5qtmtWNRYQ6AqpnMKsw8e/fuHT8RWU5h TCZSCpuezVrN8jdW/aBV9G5V2LlaZFUQBKErVBys8n5VEIi95IqoCoIgdCPq5Bd3WCEQiH0ckVVB EITOFDv4fh0AFa2+KqI6b9TuNrghOdnKtJdC7a6xXbZl7L4FpLD+UNT/p3gvACpXiAnIatPeqB33 TN1wpp3PaaQ/U49Wxz3fp3r2obbpHZ8myWt6Bby0rXft1uVNcbocK6wHsXr6JVYSAMy8trbmIjGM yTYmf5udeWlRxqd0pXb33JE1bthDJiWpIx9bMktjHYwRHZx7iJhhDHtVYuGuHQAAIABJREFUdSWa AOhn2crKPr8XAPbvX53UScOzFP6cVMqbla2jvPOFlItQizG8lvnZU77HkAC4886fvP+v/ybEe9G2 PeuWp1hnm/R3UuEoWk+18YfKZ0snt/pVCIlbmhA4kcc1WEOzZgRVr7dkujZFiym10NWYpQTjr9pP NzCdoUqn1n86MP5Qh8DvhDSzJb512Hd//3u37Sf/ItWDticAFIC77777s/98pf33z5+76oc/vGmC Z62t5XHIyspK7fMw8fCB522/hKb4Hc8bPpcCS8dWc9sdZm7qbK4z4aKaGp5S97ypIOK70eKjr+3s V48dqv6Ujh2nXNoZrdSCds9IiW9Z7t1vbt63/+Z9q7fsW73lrlVrt1b8qoDJzHpmq13UmqpyVbCG dS9MO/56MoOmSklYa8uxveCm2t1uN3sFoQt2zN+wm45KcKtYJe2HjYnt+caGWK09MvCo9nBE9kX3 Z2PYh1Z8aiMQa2vtDRyh4MbJTFP9qf45GsN2/4VNgO8o5N0F1RR1Y1nxoOLzaunBbUROZ4LYxTYL VPv+TdGwvgXXVK82hKZSm7XSFAZSLC2euqq2+MVi4uew6Zns+KwOxbBpTiMP46cfz1uE2EoNdLm3 61n3upRaUxwp8Zmgoe3bSFu1yfU2ZnhT+gPPO2w+O8avhrcfPhocMY30hyK+A02FheYb1ZRay1kw RjkODO941YiGjzp+VVtqtX9WD5+pEt+6+N5/5Y3VKVA7/I1K1e8yGDWR8FqBa6FLPrtcV9N5O96f +aXlQgZeb62rvftZplHfNk25CBOl3lidUb/qRJh2b33WzisIwgxAm1lVh+0hzvt5BUHYIApG63Rn Vm04G6Vo63bezbq++nwhpbBlqV3jf5Or6uZm8+0CNI9IKQglNrMHQBAEYf0RVRUEQZgkoqqCIAiT RFRVEARhFKj02/8lqioIgjBJRFUFQRAmiaiqIAjCJBFVFQRBmCSiqoIgCJNE3q2aAOedd95GZ2HC yPtC3dl8pT89tkS9YlHVCbF3796NzsLEkLfah2Uzlf702Dr1SjwAgiAIk0RUVRAEYZKIqgqCIEwS 8atOmHh3zHhDoWmHCzNI7VZ9XUpwo2qR1K6JMC1VbVoGf5zl8ae9tP746cdPkd3/MnyeavisUbvB zLqt5F3aanA9Tx1o2nq6SwluVC2al9o1+8yirbqeT4JsgjI9NuSuTkpSx6wYsU4JW431VtV51K/u D5i07ZsSaXqFoVhvVS1V0LirWNp+fXl5ub0eV49F6w7V1a9qzxUCJ+UKEAItxY1BhTVUavFXoXC7 nGvYSigIVTZyDkBQ2Nr+WhdJLR0bqIaX4pdOUQosHVs6aiAiqZbliNJXpRLvUljVxKvHxgVaKtyO 56qthF0qAEUMvDPC5mZW/KrjOL9mCpHUQFOZlsLXvxCbBlHHQUpcCGykqto++Dg97lnrnYmkjsD6 FGJ7ZZu1iiTMNRv8FsCKBzNpeAqbiVmubOI62ExspK06qaHVWZvHWp1KzczxYxOM2UmFbwJmoRCn Mcm6RJcSnHZt2YK1a52Zrq26XKT0bbAaaocI2q2JpmM7xq+GD3FVzXCF2q+aDhknfB4ZWAFaymXM CtB0rqEq4UBqi6mlerTH2cBwYSimZat2HKnoGK37sbVD/KU/m2btNB0rTrdh6V6sA2MOFNaWwHEq GxoqhiAMYOvssdpu+AiCIEyKraKqw3YYBUEQRmNW5quuA1NV0q2zzvk6Mxftn5S+ELOFVHV6bInd eIQGpPSFElvFAyAIgrA+iKoKgiBMDhZVFQRBmCiiqoIgCKPADZ9FVQVBEMaBS79FVQVBECaJqKog CMK4kPsfKM1XJRtMkDXJBEEQukGFX0FV/fJfYZMIsWEFQRDaKKgpEch9DqqqyP5SikiR2oSqet55 500qKXmdRghcfvnlG52Frc6ePXv27du3UWcna41Gff0E8GJq/9da60Trzfkm6969e8dPRF76Fkpc c801G52FrcsFF1yw0VmwYpp7ThPb+ddJ6vQ0SXWSJGm6kZkUhHnjne9850ZnYTNw0003DRX/oosu mlJOhiRsr0sAEmu+pr2FJE2TtJf2Fuy/jc6lIAhbkcMOO6xjzMsuu2yqOelKNLxv/QCJHZtaWFxK F7b1ett62xbThW29bUsbmk1BELYuG+gkHYew5Vdix6YWtx+wsLi0sLi0bXF7b9tib3Hzq6rsMi0I wsSIpqMmpJRSevvOA7ft2Lm4tHPb0o6FbUsLE7JV401N2nciijdfixcqnsbS/bJF8LQZqogFYf4p SEqilFZabz/wQUs7l5d2HLBtaUdvYbG3sDj+eeLnx25t0rRTW/XbqWLtU9HWabOBRdzOtJW9unV5 e3hLItKXmhdiNVFKK6X1jgMfvHP5oJ0POmTH8kHJwrZk7NGq2n2Ap4Ts9CesGwMrW1DDUuPdFC5s PhKlEqX0jgMfvP3ABy/tODBd2JYkPaUnP7NqIsJa61IQ5o5QjlVvz/jhtSdC0QVhP5RC0Oyn6l7Z xLrcQjS0jEpprXSytHN5aefy4o4DF5Z2qiRVWq9v7joR7N/SwxBChHmhWohNhTtseExtnFL/qT2d 9a9s4Z3xpvDSV1SkKXKXw7uErzPLdWxgfmqp3qBE60RrvbjjwG1LO3uLO0hppfQ6rAMwsi0wWnxh /RmqiFvEsSWF7s9Y+9kn/qwGMRrKdI19qbGclcKJKI7T4lKojdZ0+MDw9WdlZWVModgQEqU1Kb1t aUdv21KysM1OaeUm03ZyjHB37C2u7TwKM8iwBRTMxlKXvKXQByp1xwoz8bo0DUka1mwsnbfp8PZk N9yhEdeHGX7kmdndSAaUUloplW5b0r0FpVOoBKBp3MiJmAMrnkklKMwILePy4xT6ZqowHDHBw6vh cZMwC6NqtvhmVlLDTgD+BrIiu6ZKukA6ZVIM4uIeLKNR6wUb7ah4AKHJfTbvD4zQRJfCnVTFGOdc m4xYZ2dHWGcfBgNQpBSIKEmhNJPiyXX/45mq6HxfWo4aLcEmRm7zhWlQKtym8OpYU7uR237swHRG qGzTtu/GTL/p8OrQ1sin2HJwoREC2zWriKATJsWAmWj3v6WuD3vUOAkK60zHEuzoJB02fNhjh6pv A09qHWzV0aqm8JZjh01zUlnqklUBCJ16BgheUmHXAQAIShkiACaOLAjC8DTJUBd5GvbYEB5razXy yMkKA2EAzKBcZBO7kjUrBSImYiruayUIwqwST4ES1p9g24OI2QUw4Eb8rUcVICZmgDepqMoy/kJH 5sKtJF31jYbt8JSzVQErrAk7W5WcvG7eHVZlsylh87H5lHRW1qLuiPemxqKZ2D+ZFBCN/m9SYRUE YZaZmR1TuuHsVCYir6xEYY9V51Rlq7AkblVB6M4FF1ww7IZLQi0zsLXfBLCqasepCM4DABZbVRC6 sWfPno3OgrAxcDxbKh/kpyQKCoNUIqmC0JU53WRJmB4KKKqonVkltqogCMJIJICdHsAMlo6/IAjC iHj5dB4ANhmIYN8B4ImsryIIgrCZaRrWT5yhmmV2XRUisiHrnD9BEIT5hKKfgFVVZub+GoOYCKSY jaiqIAhCF6ozURPrUM1WV+1bVaQUjAGbjcmgIAjCvED1E6YSa6pm+72qas3GIBNVFQRBaCd/GbX4 xiozM6/tX2UAIJVozjI2oqqCIAgDqTFWEzbMhtf2rxpmgJI0McYYUVVBEISRcB6AoKpsjBFbVRAE oQMUfkQkfgpA3/gNAq2wrnfuBEEQNgUJg8GcZcYu1GhUxkbmqwqCIIyIgrdQ4SZeMcAys0oQBGEg +RaAEe6NVaUUERSRUm5BwIHM2ZLdgiAI60ICgIjSRCullCJFrDpsBi5rSgqCINSSWAVNE50kWikC Z4qCX6ARWVNSEAShFmuropeoJFFaK85kOUBBEITRUXb5P02sFWtiRYZYRqsEQRAGU2uCJgADzNl+ poQVmf4am4yNzFcVBEEYhYSNYZOtPnCv0VopyvprWX81669udMYEQRDmgpLByokxmcmy++66U2ut iLJsbW11f39VVFUQBKGNphGoxGT9LOvf/ZPb7JRVk2Wr++9f3X//uuZOEARhs5Bk/bUs6++741ZS RIAxZvWBB1b3P7DRGRMEQZhLEpNlpt+/6ye3EwEgZl7df//a6v6NzpggCMI8QokxmTHZvXevhLD+ 2mp/bW0DMyUIgjC/uDWqH7jvXvs3KcqyLMv6G5stQRCEOSUBG2bTX7M7rEBpzbIMoCAIwqgkYalq ZoDILgAweHkVQRAEoQ4VNgm0P5XSipRSauOyJAiCMMckdq1qpZS1VXWSkFak9EZnTBAEYS5JiAgE pbUxTKSU1oqU0qKqgiAIw0NIQCCQ1pqIQUrrhJRSJB4AQRCEUUgIBCKlNMAgUkoRddgMQBAEQajC zlYFKUVgIqIJWanLy8vxnysrK3F4+HOC56qmWcpDyEkcfxr5EQRhK5Mgt1UNrInKGHPKakmqlpeX l5eXN0q5RDEFQZg2DJBXTbfHKhH52VTMYJ7aXgCzoHGzkAdBEOadJtszKf5JzMxsTDbJvQBiFaua sdWYTd6D0lcji2NLr38i6QuCsJVRbocVDu9YZWyMMWPZqkEcaz2bgaButfoVwkMipfjticdnCQyM OUL6giBsaSpD+wkzmJFlWRj2N8aYQftWXX755dXA008/PXwuCetE7L7RxG7YU9emX3u9giBsKfbs 2bNv377wZyynFP2dMDMzZ/01O3GVmY3p5AHYs2dPKSQ+nyXW1okIa9Do6RmStfmsXqwgCFuKyy67 rDac/C/yHxNmw2zW1lbdHFVmu+Jql9NUZdQypelKGzgLqulKBUHYuoRVVKx6kp2mioSZYW1VEBGY mU02pl91EyDzWAVB6IS1R6N3pxIwM3O/v2bNVwYbM+7MKttDHzieXo02bLKTpZS+SKogCJ2gwhup CQMMxI5UZjP+wtVNklQKr51iFcdpij/CuUZOXxAEoQmKPQEgAiV21r/JMmfH2jer1mU7AOllC4Kw WciNVfcWAIPhlZTR/NLARJEetyAIm4LCglReVWPjdB23rRIlFQRhXmmQSllHVRAEYXQ4/PCIqgqC IIxCLKVxb19UVRAEYTSsncr5Z4BFVQVBEEaEwXZ0n91Pq7KiqoIgCKPBYY1/Zjv1nyG2qiAIwmgE V6qV1OAJSBqPGJuWxaendK4ZnKdVm7HaF8mqb+IOta72xoZv1J1v2ppshETW5xKqe6bFjBaO4Uut Nj9NIUIrzMxEsD+sP2BaqjpTW1eNzDg1rGm9gtJzVbot7edqOnajwmeEkigMlb31l9TApBq5OS21 zQQzKBq0mqKtukVoeixlQ4GtRrtAt9SEpgOHDRfWG84nq8azrNZJVUfrAg+M06UGd+xHt4SUGv/2 Uw9kEz8Mk/IqTDAz7X3bUhF3qRXVnE8j8zNCR6/UVqfyhtW0RqtKO6zEhMpda82F8C5xaoW4Pf2m fFYPibPRkmyc4aFocrnW3rTZpOolrN6fYcMnRdPpqnGawjvmPD6qvZlvaeA31lBdjojDVyImeLrN i9PXKdqqJWGtFanp0SX9EbI0qWwP9BvMtResSQu6xx+KJstxZaTle1r6VZuVFjM8DpzfCrme0Dp4 AGplIhTS9KrssDWgY5YmUrHa7aY5pV3Cpnp1JVGIa1oo0A302My7JM17/qcIRT8jpuUBaOnGzmAh rWeWZvDyJ0XcW5wRE6/Ubd/YnLR4w8YMnx6buLpOAaeym3wOwJTqRK0/cYJpdgnfcEoZ65LPdb7G UjGN41QZ5+oG9q9nlpmte7NCw0qA01LVleatq6pfDUu7p2wEb1pTlkK4NcFGcNI1Ub0zXdJvirNR 4dPI25gMPF33E3XM+YYz7Ttc+xQLOVx2Akx9tKr7V3Fg0+eOIQPLvkuaXXIy8FzdT9Qx/S75XM/w aac5whmHOt2wNa0UPqzizEhptkQYWOGFCDdT1Ymq11ZZB0AQBGGSbHK/qjA9xJARhALezTpnqipP sjBTSIUUqogHQBAEYZKIqgqCIIwOlT9NeSXAEivFF11mfzZc0whvy8hv7UV1GSke4VxTPRYdCmjW 8jxOmoIwPOR+UGFy1XRt1ZUiUzrLCJMHuxwSNCVuA9rDa9Nsij/Oudbh2Infn406tkuagjAKFGS1 wHqPVs2gpTApk7nLQzuDl19L07V0uVftBmb3OzAv90oQSqy3qrY8WqN1/WKTpKoFtbO149RaHt1Z eKpHmFg+8fTnhc10LcK8EZurU14HoLs/q+RvrdW72jgtvtradKrRBj6NEzFmx3xxsEsexslnx2O7 J177AuXIxw7F7Pvrhc3NdFV12Jrd3efVlHJ7N3yEJ23i/oHlhmXnu+ehxRiPk1rp/Lr6NGSovYEc 59j26xJJFTaCwloAs/UWwECHXfw4DfTfjT8uMb1HdFjDrSSXA+OUYrbcinmUoabrmsdrETYfczZf dcWDQQPE459rFh7RGen4zwWb6VqE+SDaDTBmtmxVS9PjMaXHZrM+jdO4rnFUflLqv1nLS5hDiqLq fQCzoqpdevdNcVaaV0EdeLqOPs34jB0dERO5tKY8TDafQzl5B+Z5IkU5wrFN1zJseQnCmExx1eqB 4bWj8xNPtilw4Nh0S36G/WrkSxvnnnQ5fKAjuz1kqFs37WPHuQ+CMDFo3vyqgiAIM8NGvLEqCIKw aWl4Y1VUVRAEYWRqdq8WVRUEQRgFqlipFlFVQRCE0SEqm6uiqoIgCCPhB6moaLOKqgqCIIxGUNOC roqqCoIgjEyNa1VUVRAEYURkZpUgCMLEqJ8BIKoqCIIwWURVBUEQJomoqiAIwiQRVRUEQRiF8mrV HlFVQRCEEakRVhZVFQRBGAuO/gfEVhUEQRgV9puscGy2iqoKgiCMSmHnKvd79B1WLrvssnEzJAiC ML9w8fOYuwHu2bNn3AwJgiDMNwyAmam4aNWIqrpv374JZEkQBGFukZlVgiAIU4Py5QBFVQVBEEaG 4VavprDhiqiqIAjC6JC1UonI6iqJqgqCIIyO22WFxAMgCIIwKchqqjdWRVUFQRDGJUyuIrFVBUEQ RoNc39/rqXgABEEQxsXtXF14C0BUVRAEYSQI5Eer4l2sRFUFQRBGIzZRZc0qQRCEiZBLq11klUVV BUEQRqG0czWzs1dHXwmwheXl5VLIysrKNE4Un26cU5QyPNXcCoKwyfCrADLA4OmoqiVo0/Ly8vLy 8sxKVUmU49x20evxNV0QhDnGLgcIYD3XAYgVShAEYXPhN1lxLgCeoq3aQqywsZVXG94l8sDEmxKp Uj2kZLrG0UpxYru1agJ3zIAgCPMFM4PIGqy8IXMAgtxUhaka3jHywMQDVUULMZu8qyWVrBXNjl4C MdsFYZMRbVo13r5Vl19+eTXw9NNP755Cu7KMac01Jd6UbElYa6NNShBLidfeSUEQZpA9e/Y0boPC 4DH3rULd1lVDbbsy1V7waInH2lqbQtDcYbXVHhKOihOXHcAEYS6o7n/atMPKWH7VzbF7VcdB/DHH +ptmRGyOeygIWxcuzFxdpzWrWvSo6s1sDx/2vDPiwZydnAiCMGWmub7qsgdFSW1yYtaGd4w8MPEW 4kOaztLljJPNlfD/t3c3PbYc5QHHq7rnjq9vhJhtEilCURQSINlFCd5EyYpISeQoO4R0hcSGuwxK pOzCynsvokhZ+RsgL41YgJ0AYpsXPoAVbDBwhou53Dldz5NFnznT0y/V1dVVfbrP/H8I35ma7qrq t6erqt+AjcpyZ9Vo1PBfNZoz8dRMRv/aPR/MnwbAGeM9AACQElEVAFIiqgJASkRVAEiJqAoAKRFV ASAhvgUAAEkRVQEgJaIqAMSwA+m53lrd+9h7673O/nnzfdfkVPPO4X+XwvHn0VeAe9LXg+d6sWl5 vwXAgZFb9/0DQ+8l8KcDSGXpL6yEv+5kGTSLACRll46qrbZS80+tTzyFfPGp9z3QIT3f8Kr2luuf Zmi5Aus2qc5JXj3TlWRUYc7KCakMsE55r1ZdNQxN4/+a0zHCDgXiVvrQ9K30bg6Tys1at9E69xpq dE9Nn1/PK+8HxwJXzmhlgNXa0rhqeG6pjj1/PnOO86EwFydhSJ1Zz6xtSRqq2ITTfLk63G74i0/+ uVKV7p/gGJ5CYqJ/WaLrnDykZqpnnLgdADihDdyvurtlVtYBjLjSlXxZMrVSV7XOV1UZYNTao6p/ THb+vKmmWbI+uc2pZ/L6r2GFABPYsxsBGJq+lZ6kXH+eo3WYmu7RnKZZ1anpSepZp8/ccKOVAVYr V1Qd2vub6SE/D2U1dfqQfCKmnzl7dHq+DBNmm3XDAau19hEAANgWoioApLT2cdUtoscKPGS0VQEg JaIqAKSjRFUASIqoCgApEVUBICWiKgCkRFQFgJSIqgCQElEVABJSoioApERUBYCUiKoAkJAlqgJA SkRVAEiJqAoAKRFVASAloioApERUBYCUiKoAkBJRFQBSIqoCQEpEVQBIiagKACkRVQEgJaIqAKRE VAWAlIiqAJASURUAYuhAOlEVAFIiqgJApN7mKlEVAOZoh9aL6JzeeuuteVUBgK3raa1GRtWnT5/O qwoAbF3vAIBGRtXr6+s5dQGAM6LG2OMvjKsCQCw9/LfZaiWqAkBKRFUAiKKtf2uWqAoA8bpXrIiq ABBHjTFG9e5nYwxRFQDi8B4AAEiuJ7QSVQFgpnuxlagKAFHq21S13VwlqgJAnMatVY3QSlQFgJSI qgCQUvybAD2urq5aKbvdLkdBzeJmFtGsc9baAjhvGduqu1umL86uyjEuh9f26uoqeqHmzAtgNezd v3evrFpkBGDlgbXV1F15bQGshTXWGGNtKznLCMCooe52b3rIxKOZR3fwmzH3+PMxt6urq+avvYX6 5w2vCYC1uhdYT3C1aqi73ZseOPFo5kdJAlmrYXv8OaSd2zsvgG1qN1RNdFv1G9/4Rjfx9ddfD88h MPTEGcp8nYGsd2UCWJunT5+GfAYlfgSg++mqSZ9dyRrg1hk9h/ARMGD9ut8/rYdVb8dV7xqts8ZV +XpVEqxGYLu6QwBLjKt67icduscoyb1HgZkMjdjOLB3AA9EKrBmj6tUt07mqYxohr3tLUzM9cOLR zP08c40W1FreSZUMqRuAleq5UmVMpjurRmPZ0AS96ZMmnppJyASBBSWpPIAtuR1TbQZY3gMAAHF6 G6tKVAWAme6F19M8W3Vm6M4DD1VPc5W2KgAkZImqAJASURUAUiKqAkBKRFUASImoCgDR2p+tNvnu rBp6YHS7T9kPvZq69afeV1Z38/GnL/zhLwDzaPMWK9qqQZovww552XYSG/rwF/Agac9PuaNqKxas PDR4XqBl+l65MrMsz68tBFZg1Zox1Z762apJH7CamW463fPu9OHokgPoG1bNPwLQ6il3/xTep56Z Plpud8oQce8e7NYTwEbp/V9O/x6AuA9Y9b4CNWG5IXM1y23GVpqxwEOWN6rudrvmYOWu85Fn0xc3 u3P5003fd6FD6jZhSe7PNb91GbJmAGyHGj3cBrDSewCGLn/7r8KfoqYAcE/2qNr63MiQZsPNcy0+ eYMupNxMl+AD14zhtAFsyinHVaf29APTh/IfLXdSVVs/D+U2dBNCiPk3KgBYXq6oOnR3Zys6TP2s U3R6SHTzRy5PzSflFrJmiKHAhtj6P7dPV610XDWJHCMGAHDn8DVAaxuPrJ7+zqp8Inr6ABDDWlNH 1pM/W5UbkRRAZtYae/i/Mea8RwAAICt71/m3x4FVoioAzHXbWLV8DRAAZrJ13/9w4Yq2KgDEsvd/ YwQAAOaz9/4xRFUAmM82mq1EVQBIiagKACkRVQEgJaIqAKREVAWAlIiqAJASURUA4ujxP01EVQCY qxlaiaoAkBJRFQBSIqoCQEpEVQBIKdcXVno/wxf9vZM6t4jZo2fszadlNNtj6d1qtFJmfqS6dzFD 8hydpplzjm3am5tnq512lU6aJt+qw2rYnp9yfw2wtdNfXV0tuScl/8DqzMoPLX7r8Ju0loaWMSTP uHLTbtMNrdKp03Sd9nBALradsOERAP+Hqdf5zepJtQr58vZut+s9MofSp+azfout0qnT4AG4u19V 9e7eqpN9Y7W3g9ba40ebISsxs7O5Qms4J230k+NrWHVYjBrVQ0S19T96qqjq76B5Om7NGT0HW2v0 LW21m5U0w8vSjf51fcL7fQmHg0fXlRleoqHpk1TSc0Ja5yr1W3LV4eRUjVGjolKYwohqoUaN0bxR dWg38gzhj+Z2wn0xpGOYuw6T2sUhA4ubHldNYrGuBuOq50ZVVUWc1cIUVrUOqqe7WhXXnAzZCxcO vsfm0vHX8Injioue9yyxSnEqoiIiVVVZa21RFNaqqmrmtuqQ6MAXfnpfcnireaqgAQI8ECIiIjf7 fWEP6qi6pXsAWuMGQy2UXcMCteqthue0MekWn+hzw9C8M5t1J7TaVYoHS5xzrnr56zuiIirLtVWb Fxaie21Tr06k1TtMPGkE4DhNayxvag6BRfjzHJrGv3XSXnLx5La2VRpiyVWHk6sqV1XVi1/9ylhr rbHW1q3XXFF1tE0xaYLen6deWpljdLR06uy917unZhsxe0i58+sTwpNb3JbNvUpDUuaXiw2pqn1V 7T/++Lk1h/+Jc+IWbKsCwDmp9vv9zc0vn//C3D5g5ZxzriKqZkHbJDlWKdZmv7+5uXn5/Prnpr7/ X9W5iqgKAJGqm5fVzctfXv9MRVVFVV1VuYqoCgBR9vuX+5uXz3c/UxURURHaqgAQr7q52d+8/PgX PxfnRJyIk6qSrG3VHPeRTH18YOHnrOborWrrbqFuYu+fep9Y6960FFKWv7b+avT+1T9jYIm9N2AN 5eNfFa1petfJJvYfLK+qbvY3Lz9+vnPOiavEubxXq1q7Iw8defiXhEfEAAAPkklEQVRvb+w+pz8U U7o84SOwLD//g+2B906FFDdUvfBqe/Jvnoqu+h6q9lQMD5nbV67av/j4ubjKVZVzlYjLeL8quoaO Uk8jLi5Dj+iyluFfRWuoCXDk3N5V+5cvfuWqvXOVVJWKU3ELRVXP+d/Tae3O3pylN5/e6XuNdq67 j+sEzhVRmZPbRCUXQ0hFCBHnnLt5+UKqyrnKVfv6JVYZn606ProX3Zga6tnN6QnWRqfv/TVwrpCe +3ye81MrZVLRkzaZf+g84tQSstWak+2Cn0z1TNPaVwmpCKSiKuL2e+f2rqqjquR9Z1UzrBx/bY1e nXYPHmodhzz7ODrXpHmHMmyGjLgczJRx0qmbI3pc1R+O/cXNGVcdmqbbl4o4IeGhqWOoiBPn6tsA VI3mfr+qmX5gLylTfcIbUCFZ1T9Mja0RhS55hpt6tSpVWX7d5uo691usidZvVKnftWqMGpPtTYCe RlZvG/bM7G6ZPJeGkq+6M94WgVgDiGNN/coqY42t3wewpferZjKzlx2e4dSCJk3fCgrJF2oZOVZd yLyEVMSw1hhri6L+FoAtCmuMMXaJq1XHlNZfTex+3O1cT+10x3XSA+dKNQIwJ5+4eYe2V8j03Vn8 f+1W1VPi0OKELOboNN1dcRd7rRUPSlHH0rKs365iVI211maLqmb67jh0oSPwAsjUi0Uh03suaySZ LHqWkHU7adnnbKyZRZv7UXJqnnHbcWoOQJe1hbXFxcUjd3i/ah1Uc0ZVD1oBALbOFkVRlhePLgtb FEXhivJkUZWQmgPrE1hYURRFUTy6vJSyLKqydKeLqhz/AM5AUZS2KB9dPhZXFeWFuMoWhbUF7wEA gBhFUZZleXH5iriLwjkRZ21hC6IqAESxZWmL8uLysTgnIoeomm8EoPcOwRwPTZ7cCis8dIPU1Bun NpRn71bIUWfgyBZlUV5cXL5avwBQRGxRGFvkfQpg12ACnjJaYYTanOM6bK3zofSt5+l5cCB5nYGm oihtcVFevlpePilfeXLxym8YRgA2Yc6Z5iGcnwiOOJmitGVZXj6xqlZFRU98tarbC2u2JrqHyjFA eGYcmswEdABHe4WBzxGF9DTpmS6AFYjcbFna4qJ45YlRtaKixtjC2PI07wHo7YW1HrAZ7amFTBbY AQzvFc4sKCL9mDLJ1a2pM54fhpWQibWlKS/so1eLR0/s5ZPi8skS9wBMek48JIc5WWXKxJ+5P8/u oR5Rh94W7rF0//P1gXnuZr/pNWGek1r0hFRkVJTWlsWjx6KmUNVDWzXzUwCt7u1V8FuNJ00TPtkC mTQdD+lWIPC87COiDjlCRjfPoaGV5fMMX15CKrKytjRFacvLQlX0kJTxnVXwHNLNaBLXlsQoQiqy s9aYwhSlUWNVjdYvWVlBVA3Z+wOPkKkHkucmx3xH49TlXUN0yFGHNSwXME/9surCGDXGqlVjjDX5 v7BytGu8RtPfC25N75kmfDL/9OGZRBc0WuGpCxJYbpL8t5JnV3cQNm3+gFFj1Kiq0UNCxrdW+xNH JwicJqKswGx7+UsPHCSdlJ5wpHVOBFl5noF7RXT+QA81aoyqav0VwMO7qxdsqwLAWakjqRNzjKqq ZskRAAA4J2rUiBpXGT2MAtTJRNVQdBsB3CNqVNS5Oqra2+YqURUAoqioiFaVMXJ7uYqoCgCxVMSo aLU3RuqrVnVsXe6J1SS3yMzJpHWTU+u5L9N4CKr3T+G1Clnq0Wnibmttic45cK7epei9mcwzfb4a rvCW2JlV8mxlT87hu3fEARtygHRrG5Jb+C59KqqqIupujKo2AmvGqNpaQVcnfYiou/d46hNS1d5N bsKWenSaocxHtQ6YJOs8bkkjltpTFprmN1BGT7chO0/4xkp1+93Jw0ibOKN1VBVVNUaMSsao2opi u/vPwkdYeFWObjzP6bQ1TUTREXOFm1qrkCVNVW6qslZrJRFhUmwaao2e/cYap2LUqbtRFVUx6oxR VVn02arjz6M9x13fG0k8E3sSRyuzOTP3Y08naxOrpVv/kGpP7Yp6Zp+0E2bdjT313MSmPNpsaBZV UXmpIqpORFTlNHdWjXY0Rp9QmpqDuf+cYm93u9V7ndnXiN65W0NgnglM374YFyVzjNIMrYHch/3Q ehs6qYfn2VpLJ9mNu/XvnaWZ2/zdO+EgUsjIw9C8qSqTlBjj1N2IOhUnIvVQ6wmiqr/jELhjhefQ LTe8gRPtVKPJSw5C7bwvSPWPt+ar22j0nLn1m4NaQ0V080+4G/v/tE5zNvqax1Xrjr/qXp0TcSJO s46r+o22yELErdzADewPGZksEO7TStJpXVLaNXzC3XimxXbvNe8MCagaFZF9HVLFufpVK8tFVU+X ZJnSly80zsKh/OHIFFKT5IYt0vrmf3EilTgnrqrvWM313apW/yhfpJh5yvUcG2kPmJB67hoSFp3J 0BKlSk9raENPLT1TbfNla2bv3nNW0fIdvkXVN6y6SqUSqUTqtmrOt6vswl6gmTDn8FkmzZW8bhH1 H5q3pZWee+w4ZPuOps8sd5K4kYremp9kN655tnLEQTG/PqNFTDocWpbcpadSFVUVVzlXiTjnqvqt gMt9t2o0fdIl1IjTb+B+Nj/PiKULzGRqoaOzD/08s9A52320JnH59M7iacrFldhNTLsbz7yENbqq kxxWU3f1uHLXQEVVpKr2Ik5c5erXrPAeADxk6z9usWaiTlRctXeuErdUW3X9OK5wxti9s1IREbff 34irXFUJURUA5hARca66uXH10Gq1r+9gJaoCQAwREZH9/sa5vVQVIwAAMIuKqEhV3biqkqpybp83 qgZeXQ2/CLuYoZtvpqbPybM1Qe9dlp7iPHXYdV7wkVv3jpnuGvBXxj/N0F07UxfTv6qPjhOscNc9 oYe5Nur+vqsqV1XO7V1V1fcA5HoKIESmLTHnLsJjlXqfYghPn5NnRJ3n3DW5jF1DnRJS7dFpmrtQ c8q0IbVZ8/Wv6pPbxA6ZRN0yFZH6cVURV3+46oGOACx5as1Ryhk0CkKCVFwge5jtptN6qGv7EFZV pP6h/nLVElG1tw/VbLJ1Dx5Pd7g3kznZduu2Nt1Obqs7b6Yvb2/HuXfebnswYsUuZjSkhuwzQzzj A4GrMTx9aj5DFRuaN7oCvem9O+TQjOvZW5I4fFhVVQ9frjbLjQC0+lDHNdtKnNqEicu22RXtlXzz H7tFEXl6Vkvg8naLTjgiEbJEV7cC85xUdPiQccg+05v/UM2nrsbw9Lh8PPNOzTBu5MqzMs9QHUUP H1fV298Xaaum1RtH/NbQhWwen/XPu8xvY1tmtw4spbv4ySvQbS4lKagVWEfznHpOyi3ieAmf3r82 dvdfj32GDVVrjDHWFtZaa62xtk4+5dWq+cJ39KNUeSYRXqvwDE22hmGctAs4pLe5mnANTGrCrzZ8 TK3YahdkNayx9hhSrS3qOLvhqJpjk5/BbtSM1CsJrLnl22oRJ6fV7kInCalTW/qbY00dTouiKApb 1EnbGwGI1m3F5NvGIWUtdlZYZodOtZi0p9LKun4e+MqvW6lFUagWWpRaijXWGruWtmrEOa01Szc9 Ltvj9M2ch/IJyX/OvM36jOYfvbyT6jlV1tZKN0//mSx6kDRulmkLM6+qo/P6Kxa+3Ucr1uontTI8 O7cN1bIoitJYa6zN1Vbt7uj+n7u/+vP0z+IpJXzGObMELlrEIo/mPynPOfVsJvqP/ElrNXwrh1Rs /iwR+9hoEXOOiMBtnWQxwzfo1GP5bFhr6rZqoYWWpTXGbvEeAKzQwzmKMNVZjxIcbqU6jgTkbati Pc50h8YGnHVINSqHZ1aNSP0oQJ1OVAUetKwh71zjaU3EqTipKlGpn1utn7QiqgJADHFORKr9Td1i vX1qlagKAFHqV1VV1Y2qGjV6eHSVEQAAiFK//a/a7w/vVTk0VmmrAkAUVRFRV+319ndj1DACAABx VMWoiDijjddXMQIAAHHq0VQRbabRVgWAWIeLVNJKXst7AABgg7SbRFQFgJSIqgAQzXaTiKoAkBJR FQBSIqoCQEpEVQCIxj0AAJBZ/FMAb731VsJ6AMB5iIyqT58+TVsPADgPkVH1+vo6bT0AYIO4XxUA MiOqAkBKRFUASImoCgApEVUBICWiKgCkRFQFgJSIqgCQElEVAFLK8jXAT37ykzmyXadnz5698cYb p64FgLXI9Y3V999/P1POq/Ktb33r1FUAsC4Zv1z9iU98Il/mALBO2cdVr66uzvi/ANCSN6peXV3t djtjzLn+FwBa8kbVMw49tFUB9MreVs2a/wmd8QkDwBwZr1aZpKGnN0CfMLQdBzcAoGljbdVdQ478 J9XkVEUDWDPGVSOd8eAGgDnyjgAs1k2uY1yzAdvbmE1YmTM+YQCY40G0VXOMGNBWBdBrY23VfG3P qVZywgCwNhtrq67nahVtVQC9NnYPwHrQVgVgjHaTNtZWXY8zPmEACNETUI0xm26r9l7xXyzYnfEJ A8Acm3m2qjerZmLcBNF4tgpArw23VU+LkAo8eP1jAIyrRjrjEwaAINofVmmrRjrjEwaAEANBNX9b dQ1v7OdbAADS0/4xgOxfWFnDG/v5FgCADPrbqrnuAeDjowDO29D9qlmi6rNnz3JkCwArMhBWs0TV N954I0e2ALB+2cdVAeBB6WmrfvTTj1577fO/+3ufXr42ALAVr732+Y9++lE3vSeqfu/7P/izP/2T L3zhr/LXCgC26qOffvS97/+gm34hrnr77bc/99nP/Nd//0+d9O133/v2u+8tWz0A2LbPffYzb7/9 triqMMa8+eabX/ny01NXCQA27Ctffvrmm2+a+mrV9fX1T3784dMvffHUtQKATXr6pS/+5McfXl9f G2NKY4yKvPveu3/7N3/993/3+gcf/viDDz88dQ0BYBv++I8+98//9LWLwn796/9S7ffGGFuUF9Za Y6y1xhhrrTW3P5QXF48uHxtrjbFG9eWvP672N0aHHiiYri5y4G/HPwz82/jHNuYyxlhblhePXnk8 mPdWbHedb7fmQJD6zSpqjFFVVT38o6oq9t3/+E9VY61RUWNtPaWqXj9//s133vm/H33w6T/8rDHm u+9951Of+p1nX/3qb//Wb5ZlGVSs3hauaowRkTqxroKIqN6rkcihTqrHifU2Te5+PsxR/1WMMSJ3 y6Yq19fP3/nmOz/60Qe//wefybI+l/Ld977zl3/x5//4tX94/PiV8Lm0EciOP99ti+Mvx3V//Gu9 WhszHhO0Ocv9aerZX7x48a//9u//+8Mf1uucvQVn7+4YMXd7nYqIyv8Dfy6IpaOISGEAAAAASUVO RK5CYII= --001a11411d96b24654052cfb3830--