Skip to content
Snippets Groups Projects

Compare revisions

Changes are shown as if the source revision was being merged into the target revision. Learn more about comparing revisions.

Source

Select target project
No results found

Target

Select target project
  • kwarc/kwarc.info/www
  • richardmarcus/www
2 results
Show changes
Showing with 1382 additions and 59 deletions
......@@ -2,13 +2,15 @@
layout: person
title: Corneliu Claudiu Prodescu
fullname: M.Sc. Corneliu Claudiu Prodescu
fullname: M.Sc. Corneliu Prodescu
role: master-student
pic: public/images/cprodescu.png
start_date: 2008-09
end_date: 2014-08
publink: auto
affiliation: Twitter
---
......
---
layout: person
title: Chenwei Shi
fullname: Dr. Chenwei Shi
pic: public/images/cshi.jpg
role: postdoc
start_date: 2018-11
end_date: 2018-04
publink: auto
affiliation: Computer Science, FAU Erlangen-Nürnberg
website: https://shechangesway.github.io/Chenwei-Shi/
---
### Contact
Email: "chenwei." + mylastname + "@" + "fau.de"
......@@ -8,35 +8,33 @@ pic: public/images/dginev.jpeg
role: phd-student
start_date: 2007-02
publink: auto
website: http://prodg.org
affiliation: Computer Science, FAU Erlangen-Nürnberg
---
### Contact
d D@T ginev A?T jacobs DASH university D0T ДЕ (Д is a cyrillic D in case you're wondering)
I am currently a consultant for NIST's [DLMF](https://dlmf.nist.gov/) project, and a co-developer of [LaTeXML](https://github.com/brucemiller/LaTeXML/) alongside Dr. Bruce Miller. My main focus is to enhance the representation of mathematical expressions in DLMF, improving their accessibility, computational semantics, and enabling further reuse in a broader class of applications.
### Description
I completed my [BSc](https://svn.eecs.jacobs-university.de/svn/eecs/archive/bsc-2009/dginev.pdf) in 2009, my [MSc](http://old.kwarc.info/people/dginev/publications/DeyanGinev_MScThesis.pdf) in 2011 and am currently pursuing a [PhD degree](https://svn.kwarc.info/repos/dginev/public/DeyanGinev_PhD_proposal.pdf).
### Contact
Email: dginev@kwarc.info
My initial work was focused at the arXMLiv effort for converting the Cornell e-Print
archive from TeX to HTML. It has since expanded to the
[sTeX](https://github.com/KWARC/sTeX) (a semantically enriched authoring toolkit for
LaTeX) and [LLaMaPUn](https://github.com/KWARC/LLaMaPUn) projects (NLP and Data Mining on
STEM scientific publications).
Twitter: [@dginev](https://twitter.com/dginev)
### Abridged Bio
I am a co-developer of [LaTeXML](https://github.com/brucemiller/LaTeXML), an ambitious TeX to XML converter. LaTeXML aims at being a full reimplementation of the TeX engine, supports the LaTeX/XeTeX/LuaTeX macro languages and exports to XML, (X)HTML5, and ePub. I maintain a semi-official [LaTeXML showcase](http://latexml.mathweb.org/editor), where you can see a variety of example conversions.
Bulgarian 🇧🇬
I am also the current developer and maintainer of [NNexus](https://github.com/dginev/nnexus), the auto-linker for mathematical concepts of the PlanetMath.org encyclopedia (and have been elected to serve as one of PlanetMath's executive board members).
I was a student at KWARC between 2007-2011, under Prof. Dr. Michael Kohlhase. I completed my MSc in 2011, at Jacobs University Bremen. Since then I have been enrolled as a PhD student, now at FAU Erlangen-Nürnberg.
All of my research work is released as Free Libre Open Source Software, so feel invited to [follow me on GitHub](https://github.com/dginev), and to use my [CPAN distributions](https://metacpan.org/author/DGINEV).
In 2012, I first visited the United States as a guest researcher at NIST's Gaithersburg campus. I had a chance to do three of those visits until 2014.
I spent 2014-2017 as the first hire of [Authorea](https://www.authorea.com/) in New York. The three years as a "full stack developer" at a startup were a triple espresso of realism. Authorea has since been acquired by the Wiley publishing company. I learned a great deal!
My supervisor is Prof. [Michael Kohlhase](http://kwarc.info/kohlhase), head of the [KWARC](http://kwarc.info/) research group (Knowledge Adaptation and Reasoning for Content).
In 2018, I returned to my work with LaTeXML, which is what I continue to date. We have made great strides in some regards, notably the recent announcement of [the ar5iv project](https://twitter.com/dginev/status/1488157927001268231) and its subsequent adoption as an [arXiv Lab](https://blog.arxiv.org/2022/02/21/arxiv-articles-as-responsive-web-pages/) at Cornell. I am happy to now also be a registered volunteer contributor with Cornell University, as the "virtual head" of the ar5iv Lab.
### Research Focus
My primary interest lies in Mathematical Knowledge Management and Computational Semantics of Natural Language, with a focus on Underspecification and Ambiguity in the Math domain.
In 2021, I joined the [W3C Math](https://www.w3.org/Math/) working group, as a NIST-endorsed independent expert.
I am also involved in and excited by the problems of Scalable Software Architectures, Data Mining, Processing in the Large and the Semantic Web.
My PhD journey is now spanning two continents and over a decade. In 2022, I am in the final write-up phase for completing the degree with Michael.
My current work is targeting large-scale Semantic Enrichment of informal mathematical documents, based on the [arXiv](https://arxiv.org) corpus. For a more detailed view, feel free to read my [PhD Proposal](https://svn.kwarc.info/repos/dginev/public/DeyanGinev_PhD_proposal.pdf).
At present, I reside in New York City, next to the campus of Rockefeller University. I can see the arXiv office at Cornell Tech from my window, which was a completely unplanned - yet delightful! - accident of life.
......@@ -2,15 +2,31 @@
layout: person
title: Dennis Müller
fullname: M.Sc. Dennis Müller
fullname: Dr. Dennis Müller
pic: public/images/dmueller.jpg
role: phd-student
role: postdoc
start_date: 2015-04
publink: auto
github: Jazzpirate
orcid: 0000-0002-4482-4912
mathhub: jazzpirate
researchgate: Dennis-Mueller-9
affiliation: Computer Science, FAU Erlangen-Nürnberg
website: http://blog.logicalphalluses.net/
---
### Description
PostDoc (Thesis 10/2019:
[Mathematical Knowledge Management Across Formal Libraries](https://kwarc.info/people/dmueller/pubs/thesis.pdf))
B.Sc. and M.Sc. in mathematics with focus on model theory and axiomatic set theory from
University Freiburg.
Primarily interested in mathematical knowledge management across systems, libraries,
foundations and degrees of formality (flexiformal mathematics).
Interested in foundations of mathematics and formal languages.
### Contact
Email: "d." + lastname.replace("ü","ue") + "@" + this.domain
\ No newline at end of file
Email: "d." + lastname.replace("ü","ue") + "@" + this.domain
......@@ -8,7 +8,10 @@ pic: public/images/fhorozal.jpg
role: phd-student
start_date: 2010-05
end_date: 2014-12
publink: auto
---
### Thesis Title
Framework for Defining Declarative Languages
\ No newline at end of file
### Ph.D. Thesis
[Framework for Defining Declarative Languages](https://opus.jacobs-university.de/frontdoor/index/index/docId/495)
December 2014.
......@@ -2,11 +2,13 @@
layout: person
title: Florian Rabe
fullname: PD Dr. Florian Rabe
fullname: Prof. Dr. Florian Rabe
pic: public/images/frabe.jpg
role: postdoc
role: faculty
start_date: 2005-09
affiliation: Jacobs University Bremen
publink: auto
affiliation: FAU Erlangen-Nuremberg
---
\ No newline at end of file
---
layout: person
title: Gabriele Schoenberger
fullname: Gabriele Schoenberger
pic: public/images/gschoenberger.jpg
role: support-staff
start_date: 2017-03
end_date: 2024-12
affiliation: Computer Science, FAU Erlangen-Nürnberg
---
---
layout: person
title: Jonas Betzendahl
fullname: M.Sc. Jonas Betzendahl
pic: public/images/jbetzendahl.jpg
orcid: 0000-0001-6659-5308
github: lambdatotoro
researchgate: Jonas_Betzendahl
dblp: b/Betzendahl:Jonas
publink: auto
role: phd-student
start_date: 2016-08
---
### Description
Hi, my name is Jonas Betzendahl, I use all pronouns, and I'm a PhD Student at KWARC.
I finished my Master's degree at Bielefeld University with a thesis at KWARC about the transportation of the standard mathematics library of the IMPS theorem prover into OMDOC format and everything associated. You can find it [here](https://gl.kwarc.info/supervision/MSc-archive/blob/master/2018/jbetzendahl/thesis_imps2omdoc.pdf).
My Bachelor Thesis at Bielefeld University had the topic of implementing Inverse Coupled Rewrite Systems (ICORES) in Haskell. It's available [here](https://gl.kwarc.info/supervision/BSc-archive/blob/master/2014/betzendahl_jonas/jbetzend_implementing_icores.pdf).
I'm interested in teaching, logic, theorem proving, type theory and (formal) mathematics. My PhD research is concerned with the learner management side of the [ALeA](https://courses.voll-ki.fau.de/) system.
If you want to contact me, my email address is: _myFirstName_._myLastName_@fau.de
---
layout: person
title: Jonas Betzendal
fullname: B.Sc. Jonas Betzendal
pic: public/images/jbetzendal.jpg
role: master-student
start_date: 2016-08
affiliation: University Bielefeld
---
### Description
Hi, my name is Jonas Betzendal and I am finishing my Master's degree at Bielefeld.
My topic is the transportation of the library of the IMPS theorem prover into OMDOC format.
---
layout: person
title: Jan Frederik Schaefer
fullname: Jan Frederik Schaefer
role: bachelor-student
fullname: M.Sc. Jan Frederik Schaefer
role: phd-student
pic: public/images/jfschaefer.jpg
github: jfschaefer
researchgate: Jan_Frederik_Schaefer2
orcid: 0000-0003-2545-4626
publink: auto
start_date: 2014-03
end_date: 2016-06
affiliation: Skype
---
### Thesis Title:
I completed my undergraduate studies at [Jacobs University](https://www.jacobs-university.de/).
After working as a backend software engineer for Skype in Prague, Czech Republic,
I returned to university to pursue a master's degree and now a PhD at [FAU](https://www.fau.de/),
following the KWARC research group's relocation to South Germany.
My research interest is in the area of math linguistics, i.e. processing and understanding the language of mathematical/technical documents.
Mathematical language differs from natural language in several ways (formulas, introducing new words on the go, high precision, etc.), making it a very fascinating topic.
Declaration Spotting in Mathematical Documents
Email: `fullname.replace(" ", ".") + "@" + "fau.de"`
---
layout: person
title: John Schihada
fullname: B.Sc. John Schihada
pic: public/images/jschihada.png
start_date: 2019-10
start_date: 2021-11
role: master-student
affiliation: Computer Science, FAU Erlangen-Nürnberg
NOpublink: auto
NOwebsite:
---
### Description
I am a master student at [FAU Erlangen-Nürnberg](http://www.fau.de). Currently I am working on my master's thesis at the [KWARC group](http://kwarc.info). Additionally I'm a working student at codemanufaktur GmbH with focus on backend development.
In 2018 I completed my undergraduate studies at [OTH Regensburg](http://www.oth-regensburg.de). I wrote my bachelor thesis with the topic "Prototypical implementation of diagnostic functionalities on a communication module" at BSH Hausgeräte GmbH. In 2019 I started my project module on the [FrameIT](http://uframeit.github.io) topic, which ignited my passion for game development and knowledge management.
### Current Work
In the last month the UFrameIT-Team made great improvements in generalizing the Framework and exploiting potentials of the underlying method. In my master's thesis I want to continue at that point.
### Contact
Feel free to contact me at john.schihada@fau.de.
---
layout: person
title: Johannes-Sebastian See
fullname: Johannes-Sebastian See
pic: public/images/jsee.jpg
role: bachelor-student
start_date: 2018-02
end_date: 2019-09
publink: auto
affiliation: Computer Science, FAU Erlangen-Nürnberg
NOwebsite: http://blog.logicalphalluses.net/
---
### Description
Hi, my name is Johannes-Sebastian See and I am a Computer Science student at the Friedrich-Alexander Universität Erlangen-Nürnberg.
I am currently working on my Bachelor Thesis. That means I try to rebuild MathHub using React.
### Contact
Email: johannes-sebastian.see@fau.de
---
layout: person
title: Johanna Vittinghoff
fullname: Johanna Vittinghoff
pic:
picwidth: 218
role: support-staff
start_date: 2017-03
affiliation: Computer Science, FAU Erlangen-Nürnberg
---
### Description
Johanna Vittinghoff works as IT system administrator for the chair of Knowledge Representation/Processing and for the Chair of Theoretical Computer Science at FAU Erlangen-Nürnberg since 03/2017.
Responsible for: Organisation, planning, purchasing, coordination, IT security and alignment of the IT infrastructure based on VMWARE; projects and services provision on different server systems;
### Contact:
Office: Martensstraße 3. 91058 Erlangen, room 11.154, johanna.vittinghoff [at] fau . de
---
IT Security Officer / IT Manager / Administrator / Postmaster
---
layout: person
title: Kai Amann
fullname: B.Sc. Kai Amann
pic: public/images/kamann.jpg
role: master-student
start_date: 2018-02
publink: auto
affiliation: Computer Science, FAU Erlangen-Nürnberg
---
### Description
Hi, my name is Kai Amann and I'm a Computer Science student at the Friedrich-Alexander Universität Erlangen-Nürnberg.
My Bachelor Thesis was focused on the field of active documents, more specifically on integrating [MMT](https://uniformal.github.io/) into interactive [Jupyter](http://jupyter.org/) Notebooks.
Currently I'm working on the scientific communication infrastucture [WissKi](https://wiss-ki.eu/). As of now WissKIs are fairly isolated *islands* of knowledge, which leads to fragmentation of the research community and to duplication of work. To alleviate these problems I'm currently working on a infrastructure to allow WissKIs to share their data with each other and bring us a step closer towards a *WissKI Commons*.
### Contact
Email: firstname + "." + lastname + "@" + "fau.de"
---
layout: person
title: Katja Berčič
fullname: Dr. Katja Berčič
pic: public/images/kbercic.jpg
role: postdoc
start_date: 2018-11
end_date: 2020-10
publink: auto
orcid: 0000-0002-6678-8975
github: katjabercic
gitlab: katjabercic
dblp: b/Bercic:Katja
zbmath: bercic.katja
researchgate: Katja_Bercic
affiliation: University of Ljubljana
website: http://katja.not.si/
---
### Contact
Email: firstname + "." + lastname.replace(“č”,”c”) + “@” + fau.de
---
I obtained my PhD in mathematics (combinatorics) at the University of Ljubljana.
I worked at the Josef Stefan Institute, spent one year working in the industry and
a year on a postdoc in Mexico (back to combinatorics).
Math research data has interested me for several years, but I only got a chance
to work on it full-time at KWARC.
I started a [database](https://mathdb.mathhub.info/) of (a subset of) datasets
in mathematics and am implementing MathDataHub with Tom Wiesing.
-----BEGIN PGP PUBLIC KEY BLOCK-----
mQENBFHuT+ABCACxP9F4MjFnkWQScB6O+JgkVxHCqO0fQDITJEHZNohraDyetA4c
s1XZW4A/Bo0ttP4gxJLe0oUmpEyVsz/z0r8bSTk99+tsUA9xPxRMQSafDVgbUnVB
rAfN3mF1etJCCg56lfucsZsffQsgQc3sO8aMpeSIXhvO88LYqVeKARw4j9k8GdDt
31y3Xf4VZVOE4BuAKZQjymUz95eGFBX7myea3nabcP9nMt0t8PI5E84EXEDA5kga
atfq4iKn6kCGtT0AfTqjG+zlv3hNmMJ7YOngDdqSaRe00IvfazO4LbuyzqNEnmgN
92C0DW8q8Pq31rMBuqa4itHbIucZL04pWeojABEBAAG0LUpvbmFzIEJldHplbmRh
aGwgPGpvbmFzLmJldHplbmRhaGxAZ21haWwuY29tPokBUQQTAQgAOwIbIwULCQgH
AgYVCAkKCwIEFgIDAQIeAQIXgAIZARYhBEuq3e877QmDljmdCMZNaG/JfUstBQJf
cbSwAAoJEMZNaG/JfUst65IH/3y+xnpLuW763zTmdsKvqGkmF94daUzlFtQDtxcW
rwGKNm+4AL5h3QHa8C6k1Le7WlApXmKw3D/+VhVCIRfjneAxiJO5ETNCbuixFnWG
IlKJbEtZOmaYwmDwLzrmPp+cBprzSkaMpsBxEvNXPgGpDCUOAXBZqbc5Qy3HpEhL
2zcgJXpnA4hWhjRF1x2p5npN5plnCRNCeQWsiDsVHzIEuFaLiuwiROnkw4dU9WLh
mKJiysv7+Be/Z94FYILrHKH5MNhZSkI8caWMUGxEzeTALQUZ+XlRK5B66nauCUvh
Y6kzVON1956kK+LUbR9jdj6WyEpI4XSJVDr1h7kzYTyo87CJAhwEEAEIAAYFAlVK
dA4ACgkQPG1sfBTpU+X/TQ/8Cy659mvRtxIqeMXKQHh2NN5AZ9qOyx0CclsJXi3o
pT6XH6FcqyFHHsCrRgb/6hHvbPujq0dsa2F2Pgs2z2Bv1HU7d3a9+2yfDcgkzGUC
HfTehmDbOqUQTro/SrKz55KGNisD8QVv3laR737RtvjBI08UMiNTobsrCVkISi6M
5tJlH1twyUZG9k5KMHPA5uyAI3qidhr7UKm6+Ihf+l9qhnTEl8rIYQwc8Xv7KR0/
F5tJlAoQG6cFo5QRiX2fdHu4ymbUjG4J91Jagi4DDBoBx0VcApWIDakLEo//hyxm
HG7z6fvsy5t2AmTdW1BWmbyfH+eRO8w/kb0XezTcfM9JdKC9QZedCnUnwfF3ThZY
rXR4OIGUgiXzjR935kTuAIeVJknRoZfgqcCrRJnDo8kcSIuPdy806VBP3exjlC+I
lbOX9AuKpYkxRi0ZeqjVpbE6yPm9GZI+g3XRS6kWssFP5laE+9k2HW2e4RP7WyKI
V3dfu3HMGh8SmfBqkoY02lZsFYN38d6lDISbwKryx4hg5SiPNFp8adwiL5ZZUduJ
vtq+rK+gxtgRIYYS2jpB6l5cvrUG6WDLsv+8JoQ1vEkEs7fO/ecCpxHf+YxSedfc
REk1U0luXjD1gM+ps0qQyqwJLQ2VCqzjfAj+REn1oOJGXI6fhtyKqaueIWBR6blc
0YeJAhwEEAEIAAYFAlVPZxAACgkQPG1sfBTpU+VZ6xAAoGOoEouobDtqxP0yA8AH
8YSp/QODpGbO1eUTwdxnntTCTT89+LDLLvUbKPKKICjmijaXmi3Jxq6+du+R/Ff+
pShyluX80oKFg/VbDSJkX90OxhWqYdZ1q4jXpyZc/IRXYe4bHEKMZBdHPWgSkQIh
HEdkPzGbT3Xzxhca/g0D3/WpiQJEV0u2qLCODnwGib8DH3Y3imNnwcwWiXz5q63V
7TsnLCfevgqiWURRYDMaEy6in5O8U8Hq0j8lj0DLgN6P028LChyteNw2hrwwbEdf
eFD1o6/z8xqV7j5/44pcoj76BR88cz0XwdZXvL0iiAJIIjWICYBX/GUXvbhapbNy
1d9/QE7q19FPsoE2rMyWTUN2joFPtf3sSwbEd0/4II0laDeFB/Dcx/oJ2XIHfPnN
3JsUz9lUikL0oknvUb8VW8sedD6y1RJWGqi24RfR0oJLRskIxcitg7NAyeFfSkQM
FK68+IAhB+g37dMWUmsAMgKc2f6gBaRy89OqCmG4/Dq8eJgg/vuzBoBZydPQb6M2
B9foJPDF0wrRqGsTxr6hU0t4kYBamzKm6P9qcKzFvYHoWuSbuzcgldRri3fy2LbJ
nmKPRsoSecIqTJ6Mq/u5U15Y+XlcIM7ebBXxLNC7HT1XErgsPrEyHQBzu/xlSq10
lKfzNjHZRhh3uRuXEMPuAIuJAhwEEAEKAAYFAlXu5Y8ACgkQPG1sfBTpU+UT4Q//
c8nR+l2lRd287Ny7vIH1OuFike0himbVxd0N/AEAG9H7+aAsfJy43P4om0vAxdQL
aKND4RqMJbhzYjgHwNPRnnq54QzlBBwimoR4gTIWoyhaMoAbTRqpVReslnaXjLmR
JvjvUOGnUFio5uxSCIuk6KibOUM8JIF1U5ZTsNheIIAC0cZ+thSLMCWBrZbqLVb+
b2lRUDx1t0RbCfMZeu4Cz9AaURZ7dZwZEmJKHxCQtOMAqmoIHSycr4cFhPRvRRG7
VbAKUFY50TdmS9nwuJ86l6H5wV7fuwR/+/I+mIzS2tDLHu+AAYtrXZ878HXzsp7y
cq0PA7C0UmI4eRiP2W5EUG2HeRY4o5POYBvAmwKLEDaEYoWCUe/9+RmHk8qFrfcj
uEnWINtcuqm2V8/efeTy3SaheLEOTMpEm7Ldj/TLYDdtm4HzpwETlys4EixD7OJP
iiB4BSk6OX1n53n5kAVcmfPlp0o6yTTTi7+2qWpDUUafWLRhdCqCoRRRePCM8t2J
YHC/yH7SYXdas6/8MKW9xjPbY1cf0x/Jldo0hiW7DjCdjhwhQ/mjlGEVTO+BwMzk
VKjrg71nBvAjfdKqAhkesBWGckS6rs1Q/Qs83dnAf8l4G4iWzZaFeIi+VoxFlRMs
iaGaCKLJLqVKOFW/x0rmVceMRfAwGh9TGlXj7ANF22CJAT0EEwEIACcFAlUVYfoC
GyMFCQlmAYAFCwkIBwIGFQgJCgsCBBYCAwECHgECF4AACgkQxk1ob8l9Sy1GTAf/
VJj0DjSK8ip0lCt+uZ13Y11NiVyYQWMflyzudSdbZk5IZL4yXWvsR7PGyVbbsq+Q
kx9tCS995CWa1uJ+rzb5Rh4RaFdkObRBJzgwwmTY0Xm3W5/8Fh1rPv1toQysc7M8
sCtdrD0b2XdWqjHJayFRgnvohlRKmOYSUDTHpXr5nB+pyIKsCLcgm7i4F2FgnV+f
mp3DjAIqkx+Jd1zqTCZvYnHAGBo9p8c87s+fDgMPqgIAL+AxxfnU5UTk0Lg/osEP
KRPctsvamTIENRvzw6R9gUCWiMK4TdJGq6lP9LGWNCozmmUuiv4u4v9mqePHnr9X
KVeLBnb4fpCCpjO3iij83okBVwQTAQgAQQIbIwUJCWYBgAULCQgHAgYVCAkKCwIE
FgIDAQIeAQIXgBYhBEuq3e877QmDljmdCMZNaG/JfUstBQJahcVpAhkBAAoJEMZN
aG/JfUstrk8H/1O3FuB2I6MnJkDEWqRYCyokSC2hMPkiCNeiMF6a/Wb3tgbhMH9s
I1cIAD1Lbr+1StnJ3uUhdiB3Zk6ITUyCcDHPVkwAbNaK4IwVET0cCcFQc3mxoi6E
teVRJoPS3PbKuroS0jh1pc9CdCkoeg3JupznjQs7SbdGLKNywb86aocuAhhbuRbM
r7TmRwk2pi1bCxEtBXgqtZZFCFpzaTI85r6pehPGaJcJ6P1/NGiif9Q7Ci4c12vB
2OGqtMTu9SmTiHavA8auTl+vSH0SnM1x8Jp20XZOJni5iFE5BokeaRvMjsRHW8OB
1GVIr0mBhqbbt0YCWRKhZ7EdwxkjRh7GjfiJAVcEEwEIAEECGyMFCwkIBwIGFQgJ
CgsCBBYCAwECHgECF4ACGQEWIQRLqt3vO+0Jg5Y5nQjGTWhvyX1LLQUCWznqJwUJ
DQ4BRwAKCRDGTWhvyX1LLXEzB/wLyAdwgcrJFfoYJbPJV/zE8U6eOh+UrBFmG9sH
1b+AHrcRTcA+L/iNCcg0ugT+zOifBs4ZYp/w3lT2RpEJtddG2/jKu0k2wbilU4QB
01EqtY3eo9FGYWrcKVv85jZTEX7m5Z0RgRHkqZN+V+QoQyo21EwqOasLSIrZnLQV
44ypkE4PtNwVg18zSMb+yvPFJWF1US3GwqnYxYKb3HyrB3czWaWtdMr79/pdoC9V
fkYEddLP8SffXg4OJmBh06Edsw6PkSa0xvQEnFspaSJTYPxN51F9imTfR7pune5G
fQ+tL5ERv6+m+cRECLLpqYHNRKTdPztbao+qztxIaJ4fT6vftDRKb25hcyBCZXR6
ZW5kYWhsIDxqYmV0emVuZEB0ZWNoZmFrLnVuaS1iaWVsZWZlbGQuZGU+iQFPBBMB
CAA5AhsjBgsJCAcDAgYVCAIJCgsEFgIDAQIeAQIXgBYhBEuq3e877QmDljmdCMZN
aG/JfUstBQJfcbSzAAoJEMZNaG/JfUstFcsH/0az8xo5/OBljcG/wRkuXS1pZhEO
OgXNvb6PhMJiJoXQRSDenBeW7ZHeTdJWIqUuK2RfcWVOayDVtZBAHtZi21X7z7Sf
5LDr2UFvtOj6IYoyUZMq5ayxX78Zg1sR1XtMoIzn368VfX/tud1M1yOE9h0D0Gcz
Y0gi9/uHKivKBXGXRL2Jl2T/P5+a7BYVD96qyKzB6prY3DiX6TjkvmJTSUN0RNtQ
wH7Xd9zqLboXsn1U46fkqphFQXz9p7tzVuaYQjX5c31cJF3ck03G/ds5rVnxgIi8
qGayp16dAyXT07ijhuJ5eBYYj6K5wZpz4phmtF9rrystQ23sKWM0WndVpEeJAT4E
EwECACgFAlHuUZQCGyMFCQlmAYAGCwkIBwMCBhUIAgkKCwQWAgMBAh4BAheAAAoJ
EMZNaG/JfUstJHcH/3B9DOwFd0kAaeUtlZcRIE6YB/lqQjCicAmgmbwRNpOCKkpP
v5BgYoSIPTvc9DKQFAGTV7M+y0XSKM+/iO1PebRCGdSlhKDlHdnvqM2DBShjfID1
h5jYCvKX6QSSk0njF51JssBlVFYxSsJih8LVwO2ILqoYUaYfdgUTjVVfjTTeCKSJ
r6h5HQ8a1+Gc9t6GXg45nvcNB7BwtIJS/wTYZCnxIfLTKnrHdnbEl12ifsDbngkk
sB5G9aQWsN2yxxKVal1xUMPnhpnrzg9O6c4I66II4xhTnaEIsutkZtskj4nLFAlX
LehLD7NEJv6p6s2alyWdPFuIe8pMDV81Ge6Pa5eJAhwEEAEIAAYFAlQuwSEACgkQ
PG1sfBTpU+VeOA/+PLx90xd53qAY8JLcCuGg/ORgKvyGo5N/vfnEWLOZ7RM3XJ16
7c2oXTRcOY3CZQTEAD5jB1LMVxhG07EoPIHMgSXXc1+u7AYPKMs++871k1uVaqJ3
2nx6tGQpEd9KYnDxCOK6aE3tVUpGOUyi4X055CT826KES/m6/fslcCcfTQN2iAcS
I1Rffo66QIa21FMxbwJ524o3Zz1j2ngyS4IRWzLfRAJn0T942KjkGL4IuVmCZT7V
I5/EF1HhuQ7i2arWeWFHa1sQclzMB5YDq4iXSrkc6ivkslc/Xsy/B18ATfQw2EKx
aovUqLeg3iVk3D61KnXrE+27pFFmDlYEo7dVTBH2YsjewkCKQtQvRJbro4JkItXa
bJzPRs8QhsmPz5igcaV5/yq/GfMgzbjU/91PdSZ88MWam4M7SxOXEPs1sUBpDDcQ
HVQ6tg2htd5Bf+BUCogSK1i8qXueok4oZyDVEG0+KwcvjhdscC+tmmKvsjteJFZQ
3gNejPEY8Tdohvu4z2UTwyrecviTieOvRMSVLdPa+R8ldgemuO7ITIduaTsAQX3v
Gj+mr6GZImnjTeQQHcdFtR4n4MRmjEry1fwQpznu8cCG000sHXak8til2sZHvRLL
9sPOHZDK7Y0F98JQG/P2IYSXkvB11LEtdfWZqJfXx5XaPCz1iK78qDyl4VKJAhwE
EAEIAAYFAlVKdA4ACgkQPG1sfBTpU+WX8Q/8DnG8sOcfQvEvY50E5D+vUvMtElD2
5qdALJB+PhAdG31+yIr+8mUnzCU3D7pHMIBqS9exZI2cpOhGNpyBW8fjATzKxeN2
aCgnt/00X5OX+MxtOaimtf+tSAzL6a5kdnPhfA8+3/pTfxga8/cAJNElASCMN5MH
JK32smnuKTjwK9eTCvMrp9rAREistBq9OkhGBBG7GLy38s8LxidTGGUi/wrn8TRs
Zwc6ZOatxBhg8MbzNntTSOqzYZBR/o4NeO8jBhMCaU/IF5zCGR9REhDSPLbY+fbA
jtCQzIw+OlFov9GtFJn22dZX1ahW2TjhbrTXQjCEQfQjlL1MP6OrP++PDGLSCYXK
YRQsgCKKfvHp4ULmUDjhZiRFEHOpY5Ds9l0ZsMVRBVFJIctaQmSfUF1iTCxOtRMO
Da+3ZcvkVe91LxnGqgdwhbAbDeuV9/sKwnCAYPpMP2/V1RibORE9leoDyVbOiIhk
ayVZCjWj5hPD0rvJ8brLlnfFmGmsUWlQe8Ov18wt5qiJFA7rw+wMerMC2aotJ9mj
hHoocWroa1GP1V3IfI5E5Zyjy3xhII1TBfSLLWidsUMmteSiTZv5B9bdbO9Q7NVc
CIA+fa1ydzIp1tSU9IQa+W1zuWwYSedGtzWYJHKcquh8UNZhdFu2+jP+GXGlsATv
Y5eQB3hWhTf2O82JAhwEEAEIAAYFAlVPZxAACgkQPG1sfBTpU+VmHxAAtrQ2OgyM
QinVmsOvdKXLBwltmGWom+V6XybCnGZtV6H5PmEp29nkGZMdc7tnCogSfLd6oU6G
KztRGIvJficFdOgsifcq+u9joUOrJq8gUF+5zWBv7L5R6ZrWO3sV5NI0m2oFVVRQ
wB8tA9YFaNxovoVYNuQGtghKV2tqCb2NUDXmqP4yjSRA5ST8r8l/QJ5JYpchMwAt
vQKYBMD10pI1NrVXM6+1ddzPjRIafkKThno44k/aNj2A4yYoHu6mCt4gwz5k/1Uz
SzfyT978yXjT+zyg973iYnhcQA8S9+tiuAXOBAuFkq1Ax0sKl03pyMdS8hAC8rRs
Q353zPeXb/80zyShl3DCow/tpBvauhGAgdITkA4eJxfiUo4ZVymit9xlh2h3ixT3
YJ/iU5fq4WEH7e96trS/mZji3SiAeO5c9nikueVyWVp3EY8rxiQdJQ/qQOB2APyD
OLGjdrWnAam8DukrPEgTparkl+osS3f6LpPwAEma6h72qp9nzIxnc9lIfTNBEydX
NST6DnXh4PiPNgNTWStinpTcd0TOIaKeUwkENYV/XFiy1yncAKDTKmyjwyt/2NOM
e4s/4393pHVRR+66DVHUAC3xuDVbwA/M1dtYD7qtovyU5E17+xO1zXPbXnOa480G
Oh3kUr+Z7jt6MZQp7E6UanKTGHceoSLgN82JAhwEEwECAAYFAlSGtbQACgkQrXkq
R0aHcl4I7g/+JAUR0Jw9PQVzeH0aFNhFVus+t3jsDDuoZfBLrcs1DxBfJTInVCUK
nymZapzU0g8yIATURrUTlX5XZHBZ1Mp1xk+HbWtVDOvZHaGDWpYSr4TeLvHpsv/l
UrgC40gel7W43EMub8n5hR7gQGwIRURfs6i6Aqphq8RmDqMY1C+cHQu/8EciISA8
7CZNInRbn4mp6ikhmR1X+kmAx80pravc9c10sMg8rtgejfGjv/zLk0yeE0ldvzKa
ZsloWEP7kauj3Ac287uDxOFgZh5cO9CbAP6NIQbXES1cDNMX/xh6eaSLZR19ZMMN
1ytHlvIlPgsjS7V6ejFiqS/EU+G8kBHJI0XwOG4gar1J6X4gmQRCOMFMVgpDbFnx
LliphpDoyfJfRm5Ap3M/ysBHhQkHq2OaPhQI6nDoGGFFzdPGAvPHLmQOQzKH8Rbg
Y/xjX6wjVuc5213H9aLz8+qQnqAfVkW2OeHDTJayAYGPnFWUZiGLxDVnBm0aYAa/
DV2WeeA48/pGEMnq7i09+Y6V8IeiBYQvvTSJM+yKgWbeIyR5ns2ko7JXnleRkbEM
vk3LvIEnOy7E/4lZosSER5sY3dUxsNHqlmE7DexOawHgPH3Ke1LpOTqD0EITFEbU
sDHE/rzW+skhlPO/faOFr1UwkxVS9sMiamb1UuxTRqALLJSt1oAAbq2JBBwEEAEC
AAYFAlMVyIgACgkQ/3kntF8Px8rx2x/+Op35wM+MMibqMZG8ii5dfi5kXNI+z1lN
u1nBk6aB2hBjhYihj1wr8m0fwdOEIJLCXfbEVY1K4aNNrYiSTYZIRC/xCx4doN1j
rbEcLaFElDZe4rfIA0Dimj+VXRbEY4rV6snJKYAbX9BPv39F59ijOP7qhV48xa2d
HZG3VxBfXOlgQcGsv9cBzHT73ZNBHZkMB5Fm3DMzapX5eMoyDPaCcO/9vF79IyAq
RgUaQQU0wctgWgCTiEZif9paR2BYVzsR6T6ODm3nrvGxFiyk2z0K8wLuMX+2Yero
es6rzi7marDj4582BwRpiPuL5OZs3AEiodjmxEWyoWD/YvSY7aIEWWldDv3usaLb
GaC8wtsYUfOWcK8ipjPnLXfIjkmt0uqrIJnWTO8BthPhgxv36Sgd3TncMkjLNajn
JVqMfDDxSk13QYqvK8h8L3W//Eg+0rSxff/h7Xqc+2ybrTNHLPWKTy6yhCa93BRW
QNMFgj++G7Z0VWuRNgO6l8II5wvzzmun9ig6KuXyoEfT5BGnN+WNVH5zoyrnLx4I
Rhdp5lnxhw0VSq4hN42l4K45kJHoRKVv4lTLsqbxfJAGGiV4cxWaIA1nzva74/8P
NUIm461YOX678CakUnLHezcbfrC6Q+/xgwPowGqRipAxlHC9NtA816ALFVzPh1xx
rXJZLKbHQe5JDAoLBNFwB6hOoWKqYOZn/fnHQ6ms+1XqGSuyL9Xt4g3ViXHXbq9F
mBphFIWYyI5/4deP3JYv3ru4pcLRua7XrD1mxFT6OgzJ+ozBXNwp+hN2uc/XNo0J
urXD1JDyPdZH5ZIiTEFAm5RmAUzaCdBXAhSAXWE9aFu0C6WQywijhRf63NbSHhbX
saYbRnx6AbJodngkg6jXioMomtpmH8TXIdlNTUqP5tsjGKi5lDbUs98BeXVtgteV
4NkkZH3OERZRKFkpUatmMptp5Cz4DAjVKpTP6XMbsFEQmup+3ByBbtTSfHmisNlc
SExgFH60Sf04wVYxjAwVlhwpVWWN7UG4jwlyKGka5723mOHmAaUyMe5mt77rU+ey
BTWb18d66JotHqVcEDlAgSxxIt+A4rWUYhJ3TDrPyJ4rEhPQ8U+YVJg2B3um0Tcq
WXZk5ry99yF6yLZAlcJsbqPt9wYMXTIFVYD218dtngG+vT7fv1FfQEY4z0GN+FMZ
Qbt0XxmA/eq1yoz6pUVhohP+kiA9pwVtAkgfEoNqqqXQ4HqGyc0+/XuJf1Sro8aE
2Y9SgyfJHavoso4AB71UNOCA3+0EsHI9ZBlDumeVkgq7xFNLABRsep2O0LpArRx4
oQKs8PwGhugv5exDtPIJ53JNgtCUNCLJTAUEwZHRCGvaKk4Gm0DtV4kCHAQQAQoA
BgUCVe7ljwAKCRA8bWx8FOlT5abTEACqBIDy3kndoVKd9DogUeIQWuMsD/xuJuGZ
7eeu9lmuT2j+6i3u7pML/eKfpT6Y46AScevkkGqrpKxjmm8rgwWWmH0qFt+w9cUO
mSj3qkVcW0U9mvO8sZ898aPAT6EyATKYqB016XfbVpmppd/q0BTFyVHZszA9mjCO
3owdhlSK6urXhZnJ4dnXIpqYqPlHAO4iVDUadcQjMc0ODHEICtg9htHJgVfpLPrO
qV25VLdUfo0cTfJGAY7Nbeg9TgdQHAvLa03Ooh5js7XEuyVFTDFTCh3DcZyw8/RO
ENh41mCXRFPU6nQXfAgcP+3gaNDo9vXjnvSOBpJZmwZlPH3QQr3PKKJtKhfOPVOp
emcN7D+3OwzFv840Vai5Gt4XO/XzMrQMjNMIb6t/9BTBILV8GCxgwV/uExgh8hnR
Fzhmy7EcOtjKZxc9LRNOHUY6ZBNmAtAjHhYjE2k0bre9UoJ9agSMQSwp/frdl2dM
vJmW9SUKtB+mdyWlZ+PQ4QT5H+4CDqjzgsb1brbxHXjp3OzlL/Tg+CysRe8okT7X
ktoEJWz5XERKUZO2lrtx12eKFBHb1/04oKcoQBpAIc86Lh+4n7yPJJbhDWFA7YsV
3QJFOuwJCuHiRtdU39Z7fBELhVMSzGpMWoh6HBhpzlA5PRLJTbMw1C5nsDlx8wza
L0eQL7OrT4kBQQQTAQIAKwIbIwUJCWYBgAYLCQgHAwIGFQgCCQoLBBYCAwECHgEC
F4AFAlUVYmUCGQEACgkQxk1ob8l9Sy1ZwQf+MHNq1NWguNz2txeQwq7HRMYd7IL9
3HckUApr/5WBj6tvI+ESabl6E6WQhbmxaGCJqg6OlbDfV8IPmMu5FXewS86ZY5fq
o1DfRq6VbBcQJcbfRvSEZJOYYAwoM2i0qSKwGv4e+nv377C9IcJPtLwFWT5J5k7Q
v+TMru4JJ9YC2Awr2JAFMX6tGspKDtBhaYDIBPt59cC6G3rwxmYT6RUXBfbYMv9d
G3R1QG516U5+/NocQLad1X8cxHIZEXHGkEfEuaXKjDyNnPe70Ow032ZhRZ0oX0Y6
Yejv5M0cF/ZKtQNKvNkSamumj9vpz7/JYTCJf8qdI6LAKpaOUsEuPX3uu4kBVQQT
AQIAPwIbIwUJCWYBgAYLCQgHAwIGFQgCCQoLBBYCAwECHgECF4AWIQRLqt3vO+0J
g5Y5nQjGTWhvyX1LLQUCWoXFZgAKCRDGTWhvyX1LLWioCACeWoOhIWVpZaLyHjE6
OuJwm5HYV0IcRSDKJzOQp6lDXPt2dQDN0MFQX+0qIPj4PViBgXZRFjR4Jk/+Moe6
YJOzJ/Mc5ERe367qbRNHkEXMlYXVR9Q8eXIa8NpHwXCoYIYbPTFiL//4wadReM+j
6rHaeIWPy8T9JffhSukyRGxyG6EyzzyqPZYja5V+0XApmN20XeyOAfgK+hWlRHrY
c+3XUw7YqVkgDmH8u7HftR7u3I2jQ3gnM4hXSLCyPB35+8EGWGkSZS7pSImneUUl
8LJf5lLTnU0fbEzxQDNavZGGrJ2jYBAPo61MBUrkqnmXyOQLILP880hDNsqwHcuJ
6RDtiQFVBBMBAgA/AhsjBgsJCAcDAgYVCAIJCgsEFgIDAQIeAQIXgBYhBEuq3e87
7QmDljmdCMZNaG/JfUstBQJbOeoqBQkNDgFHAAoJEMZNaG/JfUstTa4H+wY/b6xd
x0kPWMd8siyaf5zNeVTHhFdSfcL37qBHV08Ws8Jgp1C9FWjcKGATEZzvfvYlw0Rt
9bfqPTRk2qEfoYavcNbxunwfezA1pWQB83vGrimfHfdbOjWoafqJBq7+R5ZpwMMf
jmOu2lm5ROc85PZHmHYHlk56qXTAHDfs6/zoO16Hbwzv/VV+FQPCGitIIAvkfgkC
K7as2ilz8h8lWguVgnrQPKZ0qQTdEINhTL8cpv5Kv3UjQFSOVB6ZNDQjKaPh0dTn
lUImEjmgKZA0vuQULJeEYc/FGLqbh9pYuByPxekIO0iW8te9ck0HSn4caSeDZIfr
gytVivjPDyYZeQq0K0pvbmFzIEJldHplbmRhaGwgPGpvbmFzLmJldHplbmRhaGxA
Z214Lm5ldD6JAVsEMAEIAEUWIQRLqt3vO+0Jg5Y5nQjGTWhvyX1LLQUCWznrBScd
IEUtTWFpbCBBZHJlc3Mgbm8gbG9uZ2VyIGluIGFjdGl2ZSB1c2UACgkQxk1ob8l9
Sy0pGgf/Zjp+UZoOrB+J26tjItdsk4/kF7mTbhL+qzybKR7GaxtLDBXhUZe9JJ2/
WCR7mnjn3fS+goLMt4GNO26arj1EyFo3kkvyg8qafL/1Vzxz/GyDrkDVxLY1BbOv
JNTt155yJX7Bnj3TFMFY9v1eqYQOkLZ082OaFQCrKZMC8KvSazrj8V4NA6zWwwfG
ICHGOXZBAUWLFTnnQwfshMWKX4biyEGovYCXzyS9cOtMviF0mhXRXaY7AQOma8t0
UlmhEhIpB9sG0TXNddg6QCUsHkvtDBiGJfW+Z2AVHH8n8hmuA1G1PgNhtba73QV6
1QEgi6KRWqPUZR7w2bXEGOUGpFlckokBVQQTAQIAPwIbIwYLCQgHAwIGFQgCCQoL
BBYCAwECHgECF4AWIQRLqt3vO+0Jg5Y5nQjGTWhvyX1LLQUCWznqKgUJDQ4BRwAK
CRDGTWhvyX1LLbCwB/9LpRmh94gF6ZVtvGBj+lBjNRWcIYOAhLPybvWgnXdqC9C5
ouxw8o+Vig2AQkyFluXO4D5tBxzEyL0ei/gAwo9ONilOFOl+qpcSP8Vg9FHHlZz9
2ldktPHGys2AusZ9H1cLcqCXwp10tCor3jOeCoLXCVE16FxMuKP/zIKmkvvU+vOO
yLAkWzmk9BEp/0A4ORjLcKmmcMBQJ3EBXh9GKuP4wOraSJYCMuYiglslg7kaWCHN
O3wKMWFGeZddzcUm7l3stviypPWh3CAls4prWXY5HWyvoBuuh5zqNpi2nDf50AOX
mk96uaRIfd6ojnmsa0kwqQD6vhU/HncEdfdEv5TEiQEcBBIBAgAGBQJSieZPAAoJ
EOkxHPjJZxM++a4H/2dCDlgFTnIac+WNHd+yQ0BCzhjC8krtHpmz709jl/l6Nwz8
NZ84/1R4m7ZkAWYmlZoiRAdm1d0mmThZh/1LoIo2mn6AY6mv0l0YkpJWJBUuLaVp
XrpzlkPsdYb5GxpSVVX0voapQmZ7e0G7iDPDwTYvabuBdJl2g9eQZOP5Mg5lHCts
9QOxEg2p6iQAD/x7iXmgusNkKYYmh/sUN2gHLhkBUH2LzhctNkbmyfdx8f4LmvDV
gK4OZUmX6PTwyc7F5yXfz68YKejv1QF73DhEHHJPQ5vQU86Dt4foZlryEJQTykfB
03zJWF3WslORJWi4Us0tY4TlWYBKieWONQnFZ66JBBwEEAECAAYFAlJe/TwACgkQ
/3kntF8Px8oGrR/8CzTkW8YFMtilsBkXcc+1yOAOr82Ch3zcs3t2e2XeBUrr952g
jT2zgKyJeCulzSfaENWUPmj70/0g1qbhNHDHRHQDrVZuiVP5SB+psAOAoMpeLI8C
SasxIUDjjXgJum8j8VkCfpJbrXt3F6fZwJapI1K7XioCdg+djZqRdLl6GTYu7+8q
5XAJU0awAuDodFtvDSUcbhBuKWh9+rqQfA3oRpY701E8mW4WaTS30PZmBw1sTSfx
Hx52+X8WNz5a4B9zXJO8MDgeyjYRhzMorqNNvKWhzHZWUzLNEkF7T4Wyj+jrCY4G
Rx7zf4YYx3GNlJD6NBrXnQ6pZ0UV6oF4qkZBLlj4b3YLg/YQdbiflqVuialwxe9v
+TqHG1GWndAcMURx8sIrDm5vKCKrXobD1EPLYkMW4KAYlSpDtfF9vx1YktRsQyoQ
BSe/Tn2dhEtSq2mLGTSj7r2TPzFZGJj4f6TR2QkS+xKgDRVV2yzkRQAdKCNRhgq7
Zg+N7scwg58nngiqYiZMaIRowq6xMdiXSndALuUEMby7zr0Gm7zj23qztNiOeRbF
iMcWKkgiuLskaiN/Ja+KdgRpGBthhsFqWCWn2rgubkEnpbXpyrgcScWD9StHULkH
elH1GEJd5B/HYU6Eokw/+QEMb/kOH4tmFJnvLhBS5PdSLq0WqsVhVL5s/7QYNctO
9bqvClDWG6y3Wd4P6MreGZV2EVniO1YA1X4SVr0Otyj9K7sLIkGwREwt1xty/6Qe
uU5vo/mRzl87o23Y7myQGX77poozI83933T9lWYsZZFGNNimPr7PEhWjYIWIZVre
UYPKQqbC65ejZo1/AfHfErG7ZaJHB5x9Liu9vSGa1RDucnWC/lDRMf8nZ+mMyXZw
hyVn/iepiGAu6Bu1yakGgg1sFkiAmfuOWfRnjWmqv12jx3YRqoRfoAtVCxQDVS4j
BHQmhBTh7OsoLbAp61bxazgUx4hua2B0zMq5kioEbXt6brzbNn1Nxvy1095MuF7V
72GukJwrg+6XF4sIXuYBRPbgWlIU9B80tRtvLP1pI5F92pYLlH4m1kbIpORc2L82
kdKbcwONp8KjxGebNg8JHeeGpW64EdDzIFPbLPmSwBqkAfsnvPnCok2wJdAkS7Yb
tCjNJLiCXEp0ikyIoyncAvm1eZm/1ZTLMKDVVbljkLMF2yqYHocoyc6hmB7gzjUR
JKCxxOUGv5Bih1lG0wu0Mx+ZMak33QBkRy633JzLz+rwAO/ouKd+aInhkEg57ZEo
4i7evQvPdkRauVpO6MUW4tvCy8QvEWKQbXvAL9Q+Zp3Ahcdn0WfHHA7JqGTlWQJ+
r22k2mXKlSVb1AkUr8/QvgGAlu4KzSXv81//SYkCHAQQAQgABgUCVCMogwAKCRC9
6SpaegLopHTHD/0ZWmriQJpn+vGy3ST9LfNkQ3N86vrPeW2Ue/SXO0W3Vnd4GMNn
5/qR5IXxILJmCJiIAfOem7CD6bWHMeP7nqpk5WgK4QxWtx9Ij44WEByCUHEbz7N2
gB/Cr3Z8YVaqyEqxFqPjanKa2cih/jiPSqN93+bN83WSSQWC5UnLuyPGRIineLAu
xrlds4KldJYSRrf9wHUJvEw72yydMnM927kYniZbFARFYOH7XJwnUUf6C9q/07SQ
fgUzAa/12XmPEs16uRFX3M+wRPQNU+fVyglW60kc/edAJCg+B7jkQlr10YZR/9fa
fKSRQnhJHnMis7E5cZNE8FpQ0/4pLxXEP+NeRS1bAEpS6CmNCSdpbB6HUXEn0cn5
pLulxlxKPGLr+aq1dQCbYj97BTRue/IN5oa6RiRjvr59pBmLIhTLTuRtKHz+Ppff
t2PAU3xp7UpWb0q4oRKGPEc0YLL9tDE+eaccpUiderZKY5NLD/EZG2CUY5TCWwhl
QkPe8dJV+m2Yv1fAUL/xDfYlpP6ufXEt5wU0ntVXRqXYb5RKs4/Z2BqNTN4mKwhL
RMRSRP5uhyDYiZZHWhXuBEbRkPddJyHGUA26x9Ey6Lu52yZuqBxBV1G1zFFjQzlL
Fw6CrzA6eKgHVLYtdqTSSXHLiRa7XJnEjjpM4oqlI4v8dbTB0OwAih+D34kCHAQQ
AQgABgUCVCQZpQAKCRA8bWx8FOlT5WklEAC3DaeopsS/23dYjWRnAccdJqx/s4+x
D8uxLU0c7y8E+RAQscr5l2nZY6nwzHSrw6dRbsrcI+5T6EMFXoCV8X/xfkPEwHAL
2FinnV2gRZE3tqnIiT94l7fwfwItSxVWmFmSc4wzfJhF4RGyM6bORvBagwVLq163
6H1WJlHpzOUWAyfnEa4alxuGiQ2KaYgPMjJsXjzaljc813fJ1e1uE60RsK3R2BYU
i+lL3fdb8qFAxPWUzpYGAgJ/UnJPXSCi8wyPgC3j5R5xzR6d/pRxavV9/IPs7MiL
D/Hc5b7oZhmIYCjD+qmgt0r1QrM8wby73nGJdJ48eQohEuqM0dKDPzlaheNoRnXE
oBm5w7RAi5b8ID3a3mwvM0qXHoH/lTJNFD/7NECXFN03KYHS0/XKh6PEjeoKhe4b
45sME6qbz/npcoNzP/PxYn7lxIOKAlN8zzO8GRKKUDE+QyLsc+OtPyNMeYiOKV2z
xZiu1NtRhbXxiwNyw6/pRKs8klFy/I4L+t0vfOT1xpSdH/tRkXVZp6sZjSmmDwtI
Udfx9p25KQy8cS6WREMArMlk+ak1uPbwzkJSozKxccgQFSmqGcHSEHA+KjXVtuUz
iN4L3321HnWArW+2tFZYKWBuC0IANkGh6ZqoYiOph8+a9IN+Shq7m+xLEPJKLJWn
CNgP7Mn6Eflay4kCHAQQAQgABgUCVC7BIQAKCRA8bWx8FOlT5Z1TD/44itppxmE/
kR+TSsbrE+Xac8LKrzdDXcAJ0gcqJyCljGtIg1/3RgbNcSerIaaFpsx8XZrANkox
m1xSyGO6k3aEBI5llv+EMDHVX32XlTT4s73zCrr45CK/ZHRALp+v9H/I34EuvptK
nRRZSKbIzecrIpn8PeFllLXit0Z8Xhig2a8w9Il7zDAIkvIL3G57RXTBHUdnupKX
QO6+ZwUrfODRpZrJAeKwNRSwTXD3FP7SFW9Wtq8oLTbMp9q+j7ZQXkNeLgzSGJnK
zqlJAafCUtKFvG37bEuh9FmCrOmGsftBxlS9dDQqQkbmX6/2QbnOEWCO23CPU5+V
30DO+ZlpX34jFcbPWjLA7GCaNS2lSHVF2FqTD4X7wj60lvPoe0JbwbZAeD13K7SF
nlXyu2H8DVgIY4eywPUefWpf7M0eHUb5AeyrAq/k2VKAq02Bi3Uv5wZ6Kp7E+uNJ
qYzZxgqPPyncNTncmorPus5QyFcABAL0tNkv0bSmXpgrFpm4yIPaW4njjpM5vDkZ
yF3Jo9YCGAVfFld8ndPw3u9CDenL74CgD2WJOzVQveNmfJm759+SRKK5NRWno19F
Nh4tZBAzT2/LPEYYjEmSGa5QDXlMX6OAQpS6Ko0fn3eoOdyQI0T/dJ3HFArVJz32
6IIAuEkRGpqkHeYSVvi8VT3ciJ9Bjkit1okCHAQQAQgABgUCVUp0DgAKCRA8bWx8
FOlT5Y9bEACTBiVi6u65DxLsZCb3zZVjWx1waRzTj6dnYoqNU/tIwfbLb6B1w/1y
jx7ZJ+qHLUvs4jVLHlF5uoN4j+H6mRbTvbNEA580Ddpprk6ZwNsCU++SOk3GLaAw
qpmYp7LHeeF5CsLtSr21Su+XYqmKlvvelJ0Z0qLzsLcNIK+8hM+u0wxS3YMi2anB
EZ492hBA53FH8zOoISL29kMIWO40UZ3CcfeqMRpsH5N0+gUTVRjghSObmCWVUjAS
6UD67dhjJ2FyysfmQ7h4KeKovO0Z/ZLfC4VwtoC9tzAEMK/uHnOk9bV9dLLOJeJ8
CKRNOGw7vMGF6WUTydIy6NjFZxg7PMKk2eUmAUHakkittNYSytUyjjTlx4u55qOu
pBS5fmzHUja8oHch84dPQxwSdSZr3wNqzooyyJnBEsDyIWePjqaTdWwnuhN/M/8d
nFfD3xK2dZdxnqfNJlXDczIFBcI4Q7y53a7D+W9+pARiTGEhKFnu/MMEi1oGuD5x
VaFwXEkAtT52U8HjfQC7jBUesgDOm5rt3JMZ6z/Nf4ZTYG5j5SG69I41Iz4P4yVn
FEtaaFv5b14e6q7pr2UKErUgj52jKNpbeAtVlmjuXAJrchTVIA45dt3UpLVhiIVU
qu/MWTWzcAtObJPVzU8F25rz5PUA3l6U6y5Qi9VV3p9wt+IfC1fb0IkCHAQQAQgA
BgUCVU9nEAAKCRA8bWx8FOlT5ehZD/9p+FZ/EBVL/qeCW/1k3YTMxzHuKMTLoeXC
KhNVFKi91y3R6QEwQr5BSXV+mRV4UisZTw7tdSON9dNEZl129CWECpO/7GivYN2b
2y3XuvK/ZZbG1lGoc67UOrz3nICMtwVzN1oNyz2gBBdv6h1HL5/LPnICfK6d8nzp
onw+IdU5hX7vi+ZjtcJbZesh9Tg9UTerorkXmbwCpLzTJgifPXL1sejwE2GhuEoN
PpYxo19i64g/t20LZ9zBhqTXyWtWEfeXoK3qQT2wZ03HnKqe52Oo4I8yjweSby6r
TDCvI+CZYceahDpJ0aMde0mPz6XKb6RYE8XHbkGDKQMwwf7CM1Rn5S5LyjPSh3AM
hjexL6UVqcnsPqAmuqmnkzmYJ0cHWnYB1x8SZENb9el3J0LSaedbKwlx77KZiNWd
naR/ZfLfZGy/MwS2fDVSxrAdqe/+K4C27KEuvyYmOaWAcwDuI9KjkIIxNqz4t6yf
tcTLMbp9V9Z7tekkVaeTBza/3rLgCPcLuJSzKSLn814J1IrLXoMbiXtpkdSC4xeo
egDWRdZGkRPrAUKv6bVgurIyUfEezj5uYsZEUcinbdgOGQStZfvtqwdlUydOPwpl
YVHOBj/Q+cFoVKTgB60WM6SEpphFpjVbtYfLKZmZUBI67imcaQm0WtZEEOd/elxz
Yo7Biif6LIkCHAQTAQIABgUCVIa1tAAKCRCteSpHRodyXqm7D/kBF2c05lf05aeJ
wnwmvOYthz1pziiXzNb9FKsq1zhNeJ/Br79Sx1iYF3ZhprsMREb6aEZeMZZAX4Mc
ANlD0Dpg/gqKlfTITdaaGPjJw7OEQzJ+gsBo5ihxeR4dxkdzSiRWTESKWH8U6QQw
A6n8mww2Il1NQlOhGEfni+JzB51OuB3ImbIOmz9gmeY/EJcycjwDqmeUWkG62vzh
TVCuzHtDO7tWMjbhMghIHmdRHqWiejmESzdGg3mbPI5eEFc5BbxtZmripuHG6FKc
R5JxdajGjF6+N3HKYZ1bRB8oRByg5VYGoAOsSf57Y8wzHAnPMotV2iGs5j5G+MRq
3rqfARjfCcB9/yGnCLO1dkbCIQIQpSAKRLAVWPYPz7kHJoAHCYG3JTsHrLxVbFMi
DhxRZkERsLiZqnbl9yLeVIUNTMZuSfv1Xeqw9erVDhIqbHxe0FXXcp/FR0VuaxIK
uGgMIeG4hgqiovt0nVZi9abrTgIUErDleWh+gwSWXi3Z4Pqs1x2llmZ4xp3d5A9X
KiDj687o377ZIcWJrwlmOZ3b7wPJvKR3Ro90QPc2abwWBztwf0tK6ej3oAx7xFNm
vX8h+sToy3n+TXP2dJ+WML4m4NRxlWe7xAi9RCl/NzQ//DTaWZ496TR38BF4EOZj
kV44XQGGJHcb2qmTU7P918OV4UD1fokCHAQQAQoABgUCVe7ljwAKCRA8bWx8FOlT
5cA7D/4q12kTvtq4mmHC2Wo9dkUEm0UatygpyAlpap602zCVhc7P8Tg2kKXACaUt
wCoCyD6Gi7ynA2W2SuYZMTr/2pvcDek5zW8SvnRTDJOmx4NvvzJWHnd+5kun/Qjg
+Or/sxijXOKM5CjNWNqik47wkyVGAnomfTeJY4yIElC51DORtSnlivRB7zQ8UCPB
efOlPEOm9blm6nJHzazhJz/akDLbW83C0DYEh1JLzrb5vH6ZQbdAOj1mUwDXPVKp
EXvM3hOIVyGGf/SiUb48C2bGbhaF8q+o7QrRrCsDoNqP8Brw4wQvlxz3HEiO9+LR
4f3t1aoMivPTjXydiWTkN10mp2uDTfMN7ZW45KE3RaVh5NAbSLqI3NeqdMJ360vq
h7Bbpqk7/5hf4R5ZRNyKQBjNAltg3V7p6EXZIIxYpmZdeG81DWaJdfhdc9eFYqph
z4uh0qYYxnZXaUYopGyzYQl18q1+pNa6vEWKjhiNNSTOOGzlA2tDJSvI0wmgQTlM
45IMPj/YbS3h+A3RgLNwaQt/C12koynLE2Wxo+YLilMuLPOCL0/HGKvlMqSEe+jX
hmTk8KGo/i6DYGhZ4kTqvYQlZh9x5FzPuTLlQrsc+U4vLxSFxe5kM87fRWQ/vle/
Sa97PShSIh7zsrMD5G2/BOAtbbikZUoAtumUucvEYL2VrvevOYkBPgQTAQIAKAUC
Ue5P4AIbIwUJCWYBgAYLCQgHAwIGFQgCCQoLBBYCAwECHgECF4AACgkQxk1ob8l9
Sy2BHgf/XUXLhLMraAVpP9KbU3epI0TTD5Ou5prh3wTJ6d93CF1WMoR8oT/xO8xx
CcN7ezdjDndfWFMYx2w1WCxhT4e5kZ2b1DgbVisJ/VVObuGbuETEQLQvYGCDV7b5
FMrLpNPik4Fb4CgHN2xXmLCCR2xl/kvJfA59Vec0tdzmXzvDVk7waFTGVLrdGpOg
9ZImY4VpWgF3Tngj0LL6CP+s77+mKhmCliX6/BnMWI9zEO0GwgtzLdY9rwucozH5
gOFXml0o02JiFz386zhpbFv4fycdQv7tJTeatJ7zGUjyB7wAzgC/Q1QIv9qjqQue
GR08WTFOV0LpchYMJNJSxPaYSItuoNH/AABbb/8AAFtqARAAAQEAAAAAAAAAAAAA
AAD/2P/gABBKRklGAAEBAAABAAEAAP/iAqBJQ0NfUFJPRklMRQABAQAAApBsY21z
BDAAAG1udHJSR0IgWFlaIAfeAAwAGgAXADYAGWFjc3BBUFBMAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAD21gABAAAAANMtbGNtcwAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC2Rlc2MAAAEIAAAAOGNwcnQAAAFA
AAAATnd0cHQAAAGQAAAAFGNoYWQAAAGkAAAALHJYWVoAAAHQAAAAFGJYWVoAAAHk
AAAAFGdYWVoAAAH4AAAAFHJUUkMAAAIMAAAAIGdUUkMAAAIsAAAAIGJUUkMAAAJM
AAAAIGNocm0AAAJsAAAAJG1sdWMAAAAAAAAAAQAAAAxlblVTAAAAHAAAABwAcwBS
AEcAQgAgAGIAdQBpAGwAdAAtAGkAbgAAbWx1YwAAAAAAAAABAAAADGVuVVMAAAAy
AAAAHABOAG8AIABjAG8AcAB5AHIAaQBnAGgAdAAsACAAdQBzAGUAIABmAHIAZQBl
AGwAeQAAAABYWVogAAAAAAAA9tYAAQAAAADTLXNmMzIAAAAAAAEMSgAABeP///Mq
AAAHmwAA/Yf///ui///9owAAA9gAAMCUWFlaIAAAAAAAAG+UAAA47gAAA5BYWVog
AAAAAAAAJJ0AAA+DAAC2vlhZWiAAAAAAAABipQAAt5AAABjecGFyYQAAAAAAAwAA
AAJmZgAA8qcAAA1ZAAAT0AAACltwYXJhAAAAAAADAAAAAmZmAADypwAADVkAABPQ
AAAKW3BhcmEAAAAAAAMAAAACZmYAAPKnAAANWQAAE9AAAApbY2hybQAAAAAAAwAA
AACj1wAAVHsAAEzNAACZmgAAJmYAAA9c/9sAQwAIBgYHBgUIBwcHCQkICgwUDQwL
CwwZEhMPFB0aHx4dGhwcICQuJyAiLCMcHCg3KSwwMTQ0NB8nOT04MjwuMzQy/9sA
QwEJCQkMCwwYDQ0YMiEcITIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIy/8AAEQgBkAGQAwEiAAIRAQMRAf/EABwAAAEEAwEA
AAAAAAAAAAAAAAYDBAUHAAECCP/EAEkQAAIBAwMCBAMFBQQHBwMFAAECAwAEEQUS
IQYxEyJBUQdhcRQygZGhI0JSscEVJGLRFiUzcoKi4QgXNENTY/EmkrKDs8LS8P/E
ABUBAQEAAAAAAAAAAAAAAAAAAAAB/8QAFBEBAAAAAAAAAAAAAAAAAAAAAP/aAAwD
AQACEQMRAD8AtdYQOygV0FxTJtQdRkKK19ulJ7Y+lRD7bitgc81GC6lbPmNdB5Cw
yxxQSWVHcjFaLoPUUxXcfUmt7TnFA88RPcVnjqOKQVMACt4JoFTMM4xWeJ8q5CZH
zrrbQbEzc4rYkc1nh1vbig1vc+prfmPNdbK628UHGDWAZpTGBWwMZoE9orNtKADN
ZigTK81m0GlPSuaDnbWxgCsyK5LD5UHfbNZkAUmJlIyCDjimd1qVvbITLKq4GeTQ
P94HrWjKAe9D3+k2ny/7O5Q/jSU+uxKuQ4P40BEblRnkUi17Hz5qCL3qmOMNmQVD
t1Q0xyknHvmgs0XyHsf1pzHMGIqqU6nNtlpZMqOeDU9onXei3hVHvVjk7Yk4oLEh
8xpfbUDF1Jpkce77VGfo1QmsfEIW6kWMKyH+JjxQGbjBNNpO1VwnxPvov/E2MMgH
rGxU07g+KOkTttuY5rZj/EMgfiKA2dgM00mcYIz3FQx6r0qaEyRXsTLj+KoWfraw
KSGKQ7lBwGGAT9aAU6iuhBK5UDIJHB9c0Gr1Vq1jIfAvZFA/dJ3D9a3rWt3N3dzO
8RjR2JA74zQ5NJvYnNAb2XxP122I3rbzj13pjP5VbvT3Uc+t9HwaittDFdSF0Cof
KSDx3rzQjE1dPw9uiOjrWISbCt03m9uRzQJap1T1Ppmt2dtqLG2fxFLIqABlJ4Oa
JNb6xjUGNJMNj1oe+LgROr7J0cMWgUkg8HmoOe2tLjczK43f4s0Ct5q/2iQlpcse
3NRd1eeEodhnJxWn04K2UncH0JqN1FLgqqs5dQeOO1A5TVow2eQa1DJHLuPjqnsa
g9pH1rQLjAJoCeK2uX/2MqSenenJsNS7/ZS3ttzzUBpUrJqNuwYjDr2Pzq69MvoB
dxxSSxhiQcMR2oK6i0HWroZi0m6Yj+FM1OWPw76kvVydPNuCM7p2C/pV8xGPwl2b
QuPSuLu8t7G3a4uZVjhXu7dqAQaPbj5mtiM7u3HoaW2gnHc0oiZjGRg0CCxjdnFK
qnODilQgHYV2sfOflQcLGM5966C0sEre0AZI5oEwnFbCA9qWVeK2ExQJBcGthaXC
D0roJ60CQWtheeRSm3n610FzQJ7K3sJpTGB3rSurDysCPlQJ7RWs+aupCAOeKbvK
F5JoFSRmuS2Kj59ShhXLOo+pqCvesLSHPhuGbtgHNAVs4HcimNzqtpaoWlmUD61X
modaTT5EYKihq41ie4JLs5B+dBYuodbW0Ct4A3n0oU1Hq++uFYpKUGOw70LTXhB8
xqJvtSZJVQYAYd6Aj0/qrUrUyL9qdgx5DnNKyXsmqOPHlc7jxk8UHwzksTnI9Rmp
fTrnbIuTk7higLIej725UGN0VT70+t+htSQhZNQUR55Uc0N2vxG1L7S1ukEahCRu
b1xS+o9b6w2nvJDLGJBgEKvpQQ+rSpYa5dabPIWeF9u7uGFNnj4BjO3HYioa6fUN
Tu21KVd7MA0jgewqSWeRQuBuBXNAncSSLG+5hj5UNmUliMnvRBd7nVxtwf51CGBW
PBwaBSHULiH7szgegBqQi1e7ZOZSajVsLhsbI3b6LSkQ2LtYEEHBFA6k1G5b/wA0
02F1I0q7nJGea4kBHNNyfMD7Ggm44wwBUlT8qdQRynvIWHbnvTK3kGMH86k4HBwc
jFATaN0EdetBcmdVjDFWXHNDHxB6Ug6bW2e3ZmDsVYn6VbXw+kDaTPHjs+f0oV+M
ESy6UpXG6ORWI9QO2aCm4OTirH6UvdnTbQAkETkk+wIHNVxD3zRh05eGPT5lU+be
GHHNAZ/FK3s01PSbi1MTtPbBnkjOQ5GACa2dA1a2iV3sBPEQDuhbnH0rv4oojRdO
3iQJHJNa7nZE2ljxwaeXE11e/Dy81L7dPDPaRR7SjYDA8YNBGQx6ZK/hzSzW8gOC
si9jUrb9KWF0Mx6hG+fSgea7nS2tbyWYSGSMBixy2aLum7kXKIy9j70Dq86FsYYT
J4yuSQMKuTk0vB8KY7uLemRu7E8CiC3XkUZaKMWMY+ZoK+sfgzbQYklvmVwcgIOB
UX1l0dDoNnPqCXRlDxMvhyDhW7gqfSrqb7tAfxGcp03cENIuYnBKpuA49fl86Csu
gtVum1CBJLiR17YZyat3rZ2XoG5ZSSCqkn25qj+hM/2rBweDxV2dbRPJ8P5EiiZi
ypwnJ7+3rQDc3X2jR3IjjleZ/wD21yKXk6606GLcQ5Y84xVSJpmoWpdYbaYs3ciM
n+lSOn6Rq94xjNhdthc8IRgCgLrz4lSElbWyx83aivpPU7/UYN9/tDP5lVR2FU39
pijvEZbXfGrESK55BBxRx0r1fFBlbkKJEyAo9V9KC1SnFZtoQ/7w9MAfxCVwuVwM
5NMNB+JEF5dNbagFhdm/ZOOxHsfY0B+oGcVs4oM1br/TtNV28TeQMgLzQre/E66u
UIgjEKkeV+/0oLd3ovdgPqaY6nqUVtZSMk6LIB5frVHtr+sX+2WS7mDBslc8A1vV
r+/1Cy8IuwZeQR70FtWnWdi0QS8Pg3K8Mvo3zHyrm4660yLIUu5+Qqt+jdajvP8A
V98itOpxhl7/AI1Zeh6PYMSz2sZOceZc0EPd9fTyxlbGxd3PGdpNMNLuepn3SR2F
0ZCcjyYX9atO3tLaJcRwRqPYKKeAADjigr6+vtRgMcN2PBmeMOY881E6jqmpxWjS
wwtJgZIwe1FvWNpGXsL3b+0ilUbv8ORkGp2SCBopIRGvKHjHcYoPPN9rN/ehtzMA
fTNCkq6hDcSTJIQSc7Sc5qy26bgleTw2dlUnJHpzQjqyQ2r3MPO6GUx5PrxmgV0P
U7a+JtrpStyBn5NU/bWthJrEFiy7ZJkZgfmBnFAWgXYPU9r5RxJj6irT6ktXg680
K6WPbFJujyBxnaaDm16Y0zUbuSCdTsWMOCp+ZFBmq9IXD61c2VjbPOsL7QV9B6Zq
y9KHg6v4chHmgYcfJqc6Cvg9Z6xkkpLGjqPpQUrfdL6lo77rm3aIYyc+1TsmlQwQ
206LsYbGPzzVj9aWJvrdUBBLIy0M3OnmS2hjcEMqKOBntQV7J9nhv7mNHO4SsSuO
RW5Jf2LlQxUdx70X3fQ1zc3zzQqhEgzuzj86R/0E1JFYt4QUjnPOKCA0k+LokhSM
hWzkHv2psIjsUjttFEUWnzaSklscFWxnHY5Bpuun7bSF08wK4PyoB+dWCN7AcVxp
dj9u3B4zkwlwccZqYns9qHcpz2xUx01bo2mlim1o0ZO3ce1Bmj22NPtXKggpy2O9
BerR7NZvFxx4n9KsnQU3aZAMAjBC+3c0I65p8cnUV2qEKxYErnHpQCjgt6cUi5VU
I2gmpi5treAFcuX+QpuLK2lX/bkN7FaDiIjy47YzUlbN5gR3ppHb7IIi0iFDlQ6n
29D7U8ihZQCOVz94Ggs74fSSPHdwJJsYqGDYzg0J9ZxXTf2rBcXAuAgZVwCpibhs
c91PcUQdATKmpSJ6Mh7etMur/D1DWJUt2LlImViy4OCp/MDFBTcS4TJP4UQaFL4S
yjJHIPFQcXlVwScjj61J6XJt8T6Cgs74mXMuoaL09fNarEksB2sHzk4HGPSoy6uN
Yj6KuUs0Dae0MYugVztyeCPbmkeq+rrHXdC0jTrS1lgNkuH3EbCcAED8qn7Bl/7u
OoYm9LGJv+agF5TaN8PcSLD9pSRCjbsOBjkY9akeipyLdM470GXDH+y4QM4xyPSi
notsovc/WgtOyffg45+tGekf+Cj+poLsQNinHNGmkj+4x/U0EkfumhzqDSxq8AtG
mkiSQMjGPHIPpzRGT5D9KjJhm4j57c0EXonw76d0UI8Fo0koA88jk/pRWsaKoVVA
Udh7Vtfuit0Uytoo9gPhrn3xTKCBDJeHxibjewP8O30XH5U9tCTEKaGGK3vp5PDP
LeIf2nqQAcD8KIqnVeh7qxurnVWeL7O8io0O3nzHGf1FPdL+HkGoSLJLcPA6NuHh
gc0e9Uxg6FqPH3UD/kwNJaJJ5yAO1AJy/DyGe4dPGCKpxnHcUjN8LbFU3fbHLd8g
Ciy41BI9Wuod4BDDj6iuZb+Pby/pQUr1fpUWj6mbeSXdGyAhm9flQYL9YoJbbOSu
dh+VH3xReO6mR4zkgLnH1NVmbcxzsrDccA8c4oLW6AmtdTs1S5jWRhwSRzVuaV0x
pDRhntEc/wCLmqM+GcjRXcsTcYIIBr0LpEm61FBHdU6RY2vS97La2cMTwgTho0Cn
ykHv9M13puPEDLja6hxj5ipvUoBd6ZdW5GRLC6Y+oNDmhS79M06Q9zCqn6jj+lAS
RZyRTlfuimsYO8H5U5XtQQnVibtEkPsc/lUjCBIkU2fvIPxzzSWvR+LpE64zxXGm
yh9Lsn7kxr/KgAbWRLS51CFh94yRj67qrvqK03avdpsB3ur/AFytWhf2ypq11gHz
Ss2KHr+FGvd4iDNgZNBXelacbfXbaSaMK3iDgVanUDGS60xozvWJwx/zqKksIfth
cKuOMEd6kiXmKqBnH6UDlJB9tSXt3Hb3paDdHq73Y4LpsOPWkEgccs/PvTyCAK4c
sSWHpQZJm4kBOfKc1oW8RO0eb245qQVUZArV2kSK2QvNB1Da4j7Ypc2CyoVDAE04
hiZ+OflThYdvNAA6xoEq3jsYvIccjtwaEUilimZeVAYjBGQRmrseIFSGwQaHtR6X
tyWlgwrMc49M0FeX2m7XDqnkbnn0PtT3pmCO2tZhMoLFyBxUlews8TQEEMBg/hSe
lWTLC6uCCDnJPpQb0+3ha08i7FLscY7HPNQOraBFdarLIJdkzqAM8Z4ou021jtYm
j35yxPPPekNQ8KK6BlgYgDh0HagrSbQri0LGaJpFyc7efxFQ17aNalZVhYgjKseA
fr7GrjhigvFPhSD2IYYphc9NsniMlsZI/wDzISM/Rl/yoKoQ+LYiXaASSrj0Psfr
XdgxEyg8I3celEV90/LG7LbqGgLb19vp9ajBajDHbgoeccEUBb0c3gdQRIfUlf0q
S6/2pq1tsIcvt3xleUwfvA/jgioXQpBFqllOrnuoJP5Ub9T6LJqD+Mt94SmMKY2Q
EZByCPUGg833EbQ31xEeNrsMfjTuxbk+xHanGuWhh6jv4m9JCRj5802thhyB7UE9
eAtotmzwxKCW2yr95h7GigalLb9D6lBHYyTpNZxLJMh4iG44z8qG57YJ0zbTnOTM
w5J4GP60XaKRJ8O+omLAf3CNeTzkOaAAlG3SYwSCO9FPQ6Zbv2NC8h/1aoA4Azmi
XoeUK/cd6C2bMYVfajLSR/covqaDLIgopFGmkcWcX1P86CQkwFIqPZS0qkdh3NSE
h8rc+lM4uc/IUEiv3RW60OwrdFRti2UFIPdW9xeyIkilgnnGw7h861p7kgD5Urdi
Bb+3ITFxIjKH3bcqOSD70QnraCbSb1FOQ9q+D7+Wofp+cERtjO+NW/MCiO4jEkRQ
YAaIr+mKE+mspZ27cEiMKfw4/pQCXVusHTPiRJbTTLFb3FvG67u27t/Stazr9ppN
q0j5kIwCB86gPjlGI+ptNnXvJad/ox/zqE0nXYdbs/7PvEL3BTaT/Eo7fjQRPUOt
S6pLKTGFRV8vzGQaHbm8VbqCeAYIA3Z7E+tF1roKrf29neZMcsxjxnnBHFNOuOmb
PQ7eKSzDACTa245oN9N63IvVFgSFSN38NgvqCP8AOvSmhyZhx8q8l20/gC3nH3op
VbP416j6UuhNbRHPdRigMQcgUG6OPs9q9vn/AMNdzRH6byR+hoyQ5Wg4BoNd1u37
jxo51H++oz+oNFEsT+aniHIqMtyWCn3FOw/hk59aI3qA3WMo/wANQ+mXEaaRBlsb
CRj6Gn+pXGLGUD1Wq/fWfs8DoT2bOBQSGr3SrqjypgA4PND9xN4sxYHkntTW51F7
mTPemNzfC2BOfN2xQS2AgBbj6mllu0jHGCaFf7TlnbOTj0pR5+dpfJxyaAmbVVU4
O386QOvOWHh7dgoZt3EzlI4pNpPLHip61sIowqoM4/WgewXVzdSq4l2oe4xzRHYu
4YHJI9c1BW9r3DYQL8+9SyXXgwL4alnPFBNC7IGWbafQV19quCM4AX51BO7HFzO4
DD7qZ4FR1/rjRt4UchZyM8c/rQFiXrbv2nY01v8AUGiiKg5yODQ/Z3l20eZTuQDk
YrnVrx4dkfPbuKDoXC3GXfAc9896TW9hhLBuc5H0pjE26TOMAjg0m6Eh5Ch+9hh/
WglEmV2yvansLo7BWAP1FDdhdPaTTRyDdCeVb2FSput1oLu3wVH3sdwPcUEw1ikj
5QBCfan0EbRFR94e3+VD1vrTxujOQ0TDhloltLiOddysCfWghdf0RrjxJLSNQJFz
txgEjup9s+9At9pLRhJ/CaNs4kVucfjVvo2Hw3Y1C6zoS3CuYMJIfMgPYn2+lBXd
tb24MPhh0QSAgt6H+tHXUCltPgkB7Hk4z6UJpAWmmtXi8G4HIibsSPb29aL78Nc9
OxsvDhV4YZ+RGKChetYvC6unYKcSorD0zxUHAxDn6UX/ABGt9ur2chTY7xEZ9Mih
GIBZirZUigIZCT0om8N5bjytn0I9qI9CCP0F1GZJE4sUCKWwSQ/cCgea6uRbratK
TAp3Ko7VqeUyWsKZ+6hB+fNAsedOx6HGfaprpIt4w2jkYFQWR9gUDOMAVNdJSmK9
XttI5oLh0oHaB6GjrSv/AAkX1P8AOgTSpPERDR1peRZxfjQPpScN9Ka2/O6nEp8j
8Y4pta9moJMdhW60OwrdFD+lvuSNvcZqRukdngZIUl2k5LHlcjgiofRZQ9vEw7Yx
RHHytEIlSvhh8E9uPahDQt0UphYfcllTH0Y0Zz9lPsaDrNvA1q9T2vH/AFAP9aCu
vj1B+10S4HGUlj/UGqftp5baUSwsVcDuK9DfFfQH6g07SFjbGy4YEj0BX/pVbSfC
jUCuYZweeNw9KCF0rWZLu9snncGSKZM+55oj+I8XiaNcuBysitScvQUmkxLcZ80b
Bic57GpXrmAP09djuTCr5oKptU8azmXuQm4fhXoj4dX32jRbGTIJMS5Nec9MkC8M
2AVINXT8IrwtoccbMSYpGT6c0F5RHK0Maggh6zJxgXNiMn3KOf6NRHbNuQH0xUL1
Aqpq+kz+peSDP+8uf/40D+zwYwfauLm5VZCe6rwaRSdYYmGcEUPa7rCWlsyo37Zu
RQO9a1qKKxmdyBhTtHvVWSXzTysQcBvTNb1DUJpsq0hZQ2SCfWmaq3hll+8ff0oH
E94sK7YyS3uKjZXklbk7snmlRaswy8vzOKUj+yxM3mNApptlmbDEnykfjUsun26v
uYEtTC0v4InykRPzzT7+0kLZO1flmgcp4ceI44+Me1dJNO0gCoEGcc+tM31WFCQg
3NjsK0uqcjKY+YoCKKHGwlySOflTiS42LjBx7j0qAS/bYGYkfj3rP7UHi7XbcmOR
60Dy4jebcfEfd6c05sdKVs+XcSdxY+lQlxrlvCwEZ3tXOn9Rag96kPl8NmxjHNBZ
FlY20cYWQbj9e1c6lY6StoS5RSPX1oBl1HUXmaJJ2VgQcjPapkWF1rNsuHICnkH1
oE5ja26fssuhYAYH604aHagYp2/d9SPepi10y3sIlWXBdRhRUVqErjUGkZOYvMgB
7r6igaS2kaRsygFXOB7c0jp1s9tI8AJNuwLJn09x9KImt4HhVo42CEc+2O9R6Dwy
GU7oycigg7u3+yN+zYhU5AX1XNL6VqE0ReaJjJGx5QdwPlTrVNPNwouInKvCTgZ4
YH0oZiv2sL5YWwpBwTjg0Fo6fcC4jBJDA1KrGHUA8j0+VCOj3QYblwM98Gie2lPf
k0EZrGjRXWJGjAmjBG4d8Y4psYGm0LYxJYLgkeuKKiFkTdjJpjLZ+HbyCLA4JAFB
SXX+m/2ha2TrlLmIsFDfvrjkfWq3ihLT+G3Dg4B+ftVzdd2s1zoyXW1g9vcBmx6D
tkfKqqurcT3J8H/bRnH++vofqP1oGJwGKvkAnB+VY4Koin93ilrtdxWXHLDDfJh3
rUylreOT3BB+ooNQyGS3lT0VR+FTPTHFyuag7LPh3IBxwv41PdNj9uvrzQW/o4AR
cdsUfaZ/4SH8aAdH5RaP9OGLWIfWgdTnyvzximds3nIp3PnZIO9MLYn7QB8qCbHa
srKyigTpC5M+kxM3cMw/U0bQnyignpzTzpb3drnKCdnj5/dbB/zo0gOUFEZdEiME
fxCg25zF1PfD3kjcfin/AEozuRmBvlzQXrOYup5HwT4lvE35Eige6+p/s60kI4Ey
/qKRAHhgfKlNedj08GJ+5Ihz/wAX/WuF+4D8qAf6kiD6dOAOdh4/ChrqKP7T08GA
/wBpZkfXijHV4w9tJxnKmhV1Fz01a7hz4bJkenGKChrM4JU+lWv8IrkpLfWxP3ZA
wH1H/SqoX9nfSx/wsR+tH/wzuRD1NNFkgSwgj6g/9aD09p7hoF+lR3VELvpsM8eA
1vcxy/hnB/Q0vo8oa3UZ7cV1r+19DvBnnwyfy5oBHV9T8BJI4yCx9aBtb1E3F0wL
jyjCkVxrWoPcyqsbHgDnNQDt5mMjdu9Ao8gLHJznvmuBOUPByKZtIpY/wimN1e7V
2hsj1xQSd1cc4D4HypqbzYNqDJPvUIbtmOQxIHpTiznLzZPOKCdtmckkn07Gs8N3
uf8AacZz3pp4pJ44FK+Zoy44x60D8SRRklSC1KR3Ykz2wPn61Fx24Zcsc+venkd1
BBsSNct7AUE5HIZYixTjHAFK29o0kckrJtYnCmuEuWWzDCNcsR+FOkd5EADEAUDN
tItYpRJNJtJ75qRs7OyjukmG5iCCCTxTa6hEsiuxyOKcQI0rKudqYwMUEw93YWrC
TwgcnBI71idVrHcLFBFhD2bHH0qL1m2MPmUnaW3L8+MEVFaIrN4sbqdoO4E+lBYE
N4ZL3xXBI2Ern6dq3dR+M4ZV579qjbGTx7adRxIsYb8//iiMRCTwNg5dBQZCvh2u
HGFOAD86h1tngaVV7I25c/qPpRNexiKxGR2OSB7YqMiVZIY5CQyuNpPuPSgipnSO
cc/syuHX+HPrQxrNh/eWjAAlY7kJ7OP8/WpjUFmjkuJeA8EnIPYof+lauIReWfiJ
y8RwPl//ALP5Gga6DLJay4cjw89/nR5ZSdhu496ArZxbzorjbG3PPofajHTpSygH
t3U+4oCOLlcitlcMfnSdsdyU4OO3tQCvUun+Lp9wYAokA3Yb7rfX5VT3UfTottSW
9hjeJJSNyA8IxH3fp7Gr9voi8TAfeI4+tBN5Y29/aOGQhN/hyxEcwn/+ufyoKcuL
T7aJ4MKt4gJKnjeV9R88ZprYWjXFuyOh8pYkfhRd1TohtJ4LzJiuISBIfocBj+nN
MLe2WCMP+z/ahm/ZHIz6/SgE4Y1SW5HYbVxUx0yW+1L2qLQOby8Uqc7Rx7VI9NyB
L4K3l9qC5NGXCp9KPdOH91h/GgbRsER8jntzR1ZEpaxfIUC9x/s5Kj7U4vFHyp7c
7xGS3Gaj7dv9YovuKAgrKyk53EUEkhONqls/QUUMRnGosCO6g0RWxHhg0OSeXUEP
PmUj9an7Q5ixRDiY5t3I9qC+pBt1izk5xJauv4hgf60ZKN0Dj3BFCHVKlX0uQcHM
sZ+eVz/Sg61UGXpG6b+GMN+RBrmGVRaozEAFR3rSH7T0neRk5LW7/wAjUdbsbnp6
2fAKGNS3PyoF75ldCoIJxnFCNgfF0JlJH7G4dCPfk0UzooZSoABT+lC+mwkR6rbq
3K3Rbk+h5oKK1SP7N1BeRkYCzMB+dEXRtx9n6r09y2PEzH+YqJ6tj8Lqq9PvJu/M
U50DjVrCUd45lbNB6i0q7MdqCpxTS+vbm/a6tFYrG0JzIOwPtUQlzI1mFhbaxXIJ
7UzN/dWOiSGSRS7sWKA+hoAe+uxCixhQCuVJ75PvUDcTs3lzy3tSt/d+LM5TO3Pa
o15vCDSE+YDgUHV3cCGPaDljxUNPcEjbnk966nmMhLMeSeKaswD++KBZfIv+I96l
9LhLxlmHBPBqHto2uJ1RQfmfai63iWKFQuMKPSg5eIRxAuQATToqFtNmPm1M5ZFI
Dsew4BPeldzNp8rKPNwPzoNtPHFGoA47d6yzkXxt23k+tM/CKwKued2afWcW0gt6
HNBLyXYHhovHGTUraBygHJJ5zURawi4uVPOAMUS2kQAPt2FByLUnG6n9nahrgEAb
RWOAFGATUnYQjcTjGB+dAnqNqs0CZUeU/wA6b22ii2jmOMCUe3ap3wx2xSmzxImT
1A4oIXT7Ropj7sgj+oBzRTZwBntj6KpqMhtyhQ4/eGPeiC2j2eEfQZoNXgEoaP3G
KjYLdESW2TgKOKf3sixTR8483P40jDHs1J0bseM/WgH7q3Wa4kjPJ2mOUH1B7GmG
kRss0sBGRkp9GHb9KkNTLWfUMWR+yuoyh+TryPzH8qUtoNmo3AXs4WRT8xx/lQM7
7TY5l27ACeV+tK6HdBY0t5eMMVBz2PtUwbbeWBHY7hUa1n4WoFxwr849jQFUAKMg
Pr3p4yjimNi3jWqFvvJipADclAhKm6Jl9xxQ7eRKkvjqQrSgBgRwcHHNE7Lmo28s
0IYEeVzkg9uaAXu7O21LSL2dLVJ7mBHTwnHJX1Q/0oM0PQbfUNL1qe3QIbRAYC2c
8ru/H2qztGsVE+oSSLksw4+YH/xULpvS1tdS6j+3mS3mYFTC20OhycH5g5FBQVqs
k+oXLHLM8YzxUzommuL1fHiZF9D2q+9O6P0fTYhHBZx8DG5hkn8afDQdOJ5tYj/w
0ANpGloJbdxLJ+zbcvP6VYVvxbx1xHothGQUgCn/AAmpGOFEQKBwO1A1upWliK7e
361Am6nttctV+yTSRuMM6rwv1opdW2+RRmuRBuUbgM+tAqsqMSqsCw7gdxSN7F9q
sZ4BwZI2TPtkYrbWVu3JiXd/EOD+dcPayDAiupUGeQx3cfjRQ/dLtuoG/wARX8xU
1YupXGRUNqIwqOf3XU/rinds+2ZSOeKImo125GRig7qo/wB2tG9YrxQD/vAj+tF8
Z/aH50KdXjw9KuHA/wBlNFJn/jFAz0KdZrCeE4+6yn+VRfTk27pGPefuoV45xg4p
roV/4Wq3tseMSEYz35pLoiUTaHdwP5hFcyKVz/jPFBOFd0MbZzle49aF0h8PV9VB
baWCSD8sf0ouYL9mjKqVVTjFDk0CP1HLGynElsD9cE/50FKdcQ7OoiR/5kan8e1b
0lAmnyTkYMfY/OpX4k2ix6lZyopAaIg/XNMdG2XVhJCzgbhyaC4bC+jfQred2GGj
Uk+gJFDWt6rDHO8Wd+BhSDwRUSmpSQaPHZKwKIu3vQ9PM5YktnFApNcDnHc1GzzF
yea1LPuwKayzbEwO+c5oOZZSWCLjNYFDMAOW9RSKBnye5PapqwtUsohNcFd7DgH0
oH+m2qWcIZl/aP3OOwpWS4ZnKo2APX5U3Wcuc84rm6kEUBx3Y4oNSyiSQKM47cU8
eXZbbB71GWwyQWNO284APPOaB3AjSEE+nvUnDGzuEVaZWyklUUd6nrCIKAADk0Eh
ptnsQe5FTMe2EYFNrdDEgalcF+ccUDtfPIgAHNTlou0Zx8qiLWMgjI5IFTaLtQZ7
0Cm9Q3FKQsuQT70gxxzikWc4yDigkwCZ1+RFSudrRge1RloVcq+QTtwfrTuacJCj
+xANA2vGD3ZX6Y/nTnUv2UMd0P3SufzqGmmI1KJ+4bGal9TfOkyfI/lQRfUcW+ET
R/eQ71Nc6eRcRwXSkedSjD2NLXrCTTomzknCsfqKa9NqYlns5DkiQlM/SgnkXeI3
GAexpG+tApRuBg4+tOLVgfLjnJFL3yhoTx7EUCNgDGdh5BGKlIz5aibZyJk+dP1f
DGgXBzkUlcxeJFj3pRDmuyMgUDGygkRpJWABkABHzHrXVjpws0dVfKsxYA+mTnFP
SyICSQB3OTTC/wBe0nS0DX2o21uD28SQDP0oHoh9zXQiUelBV78W+jbJih1TxnHG
2GNm/XtTW4+LekraPcWlnczhRkZwuaCwQFHYVvIqiL7476jJkWWk20I95XLn+lRn
/el1bqjbY72O3B4/ZRAfzoPRW4e9NrjU7C0BNze28IH/AKkoX+ZqkIenfiFruyca
lNLDIO8lwVGPoKLtK+Gmnwpu1m2jurnuWLFucUBDf/EfpHTh+31u2J9o8uT+Qodu
fjj0pCxWAXlx81i2j9TVVfFeystNvLe2sbZIFRmB2DvVexscUHr3Ukzay++M/lzS
trJgxsMYPypW4j3IVPqMUztMmOE+gwDQEMZU+nJHehvq5WbRNVX1EJcfhz/SiOJl
2pxz71H6vaie2vIyARLbMv8AymgpRb82vWEwY4WVVcH3yBUn8OLkNqOt2ykZFwzY
Pz5oP6md4OpNOdO89nFjB9R5alvhrNJB11qVpL5WYeZT7+tBZnPgyfdyshxzxULe
IE6ispOxeN1/kaLZLWNAQEGO+KFOoFaO906RANwmKA+2RQVx8RbaK5NqqnDRuwb6
HtQfpsAgZiScUX9WR3K387XKkEycHHHb0oTB8hwRz+lA9kukSPygEiomadi5I+tb
k45J/KkGfccelBtDu5PeklQSy4J7musjYR8q7hAHn9BQO0ENom5uW9BTQTy3dwCS
cegpKTfPuHz70+s7Xw13NQPUOxQPYUhdFmlVWPAGTSob7xJwoH603KNNIzfxcZoH
Nohc7jjGMCnlvDJJNhRhR60va2ypGq/vD196lY4PDUYHJ4oN2dsqgEZLYqdsogTu
b09KaW0PhgHGeOTUnbjtQO49znA7e1SFvESfl6U2toy0mAO/epmGDGARg0C9vHtC
5HpTsAkitRrtXHelAuBmgSmGFpnISMAVISLlSSKYTAs2PQd6CUsj5AfeutRl8Owc
k4pvA+wKo9MZFa1w7dOZT2Y4NA0ti8rWLnnMRUn5g/5VJT3fjaLcOOw4P4Gh/SpX
ijlhL5MPmX8B/lSiXfj9LXYOFk3EHHzoHqzeLpFyqnlMMv4Vxbyra6rBMxAE2PX1
Awf0NMtEnMlncwuODgfpTXWrpLC106VuQlwFcg8gEEH+lAef7OYkHjdml7pw0HFR
iXKy21tOrZWRBz78UpeTlbPK/eByKDqB/wC8IvcYyDT4uVYjPNQtrJmRXJyp5GKk
y/ibcfeHf6UEhE+VBrppCHQA8FsGkYz5RisJPjJjtnNAGdaXM/8Aaq2UUzKs9vIC
ufXGQf51RvWuqC9v7eAScQQrHnOQSKuH4jymz1jTbqQN4TnYGUfdPzNefNQAl1CV
mlDMGPIGPX1oGrk+MQe+atLQLCOfQ7oyHyiEsfyqrky0oUoc54OauLp9UHTV8cZ/
urkZGf3aCJ0P4eRdQ2YuNP1aCVPUeq/UVMJ8Lb/S83CX1vJ4Y3bMEZx86ifgu8n9
uXi7js8DkZ7nIxV06lH4VjIw7mIn8cUEr04gTQ7UYx5BxT2YeZj8qQ0UbdIth/gF
OJv3vpRXmf4xsP7biAI+85/lVdwUffGFv/qSJM+jH9aArcZOKI9lzEHOKYafhy0Z
/dcr+Rpe6nt4UYmRB+NRmg3yXd/eqvZZcj5ggc/nmgLYowEAx27UlOga4GezIRS8
Z8tNtQdo1jdASwJ7UHnXrOyI1Tp8KdjlntwSOAVlwD+tO9NifQ/jLOly6qjry54U
5A7Zqx7i0mgC/wCqo53EryAuw8u454qe+02t9En27S4i4HdgGx+NAyu7+2DcXCZI
7A5oa6heS8t0+yRs0sMqyDI44NGHg2SjENpGv0WkZIk58oGflQVx1NDNrFgIzbiN
jg5PJFVvdaHcWzFSGP0q+tRiiUR5VfMcUK9VJb2Vk7KqGWRMLx+dBTNxAyHDZ+lI
7MetP75WWXzE5POPak4bOSccelBHsDtIz3rWdsePc4pzJAVZlweK4VAQKDuzXzEH
mpAnC496aW6ZPApxs5zzmg6KlvKBk4qQs7faikjk0hBHtZX/ACp/E4U7ieKCSjQI
AcZNSMIO0uw+QzUfbuHOWzj0Ap94niAKDjntQOkPZeRnvUtbx+IyhAS2cVGQRmaV
I1Pnz+VFGn2otUAIy/cmgfWVoIlGQGb3qTSMY5prC43U6Dg0CwXPalVUY5FJxMD6
9qULAdqBORc8AU3MP508ALc4rBEKBoqsJgTjGMV3qcfjWeMfOnDRY59q5nG6DBHc
EUAuZ2ttPvH4RlK7Gx2+vyru3RG0WeVGykrg9661KDbpd2q93TI/CmekMY9IijfA
Duc4+neg1oF0JLu8thgbBx+BqH69uDDZwxqDlm3gj3BFOtFCw9RzwncnibgG9CM0
j15AzvGFTdm3cjH8Qwf5CgLdAuDP0rbMW3Omc/nT6/uQNNZ1GdhUmhX4ezGfQPDZ
s73LAH6Cp8xtJYXSgE4AxmgeaaQfJ2A7VKQsVm7fIfOonS12xgnGcAVKRgmcfLmg
lUAVQKwuiZZjgVzC3iR8nzL3ri7X+7sfmDQQfU93ptxYSWNypkaWNzHhc4YDP515
QusfaZAB+8eTXo3rqdrVoJoWwwPiJtPB9xXnfUCft82OVZyy+X0PagRjzw+fMjDj
5VdGmW6nQbjjaDAxH/21VOk6Vc6jI6ohAGM8d/lV06fbt/YksIA8TwSig+nFBE/C
OwRJry8VcB4wufnnmrQv3L2MobsIyKAfhvstnl09GDGNC0jA92Jo9vQDaSj02mgI
dMG3TYB/gH8qVuCRG2BzXNgMWMA/wD+VdXJxBIR7UHl34wKV6tRWOT4WfzJoIt6N
Pi05frVgT92Ff60GwAhvMMUHq42UHYLTU6PGLgTwSSQyjjchxmlhdO3HArlp2x5n
x9aCVtpZ4VHiXTtj+Klpb1HXG8k0OS6jaQAmW8hUDvukAqMuutenrHPi6nBkeinN
AUSyoSTyaayTEcACgW8+LvTluP2bTzn/AAJQ3ffGmHkWemMfZpHoLZM8n8WK5MjH
uxqirv4ua7OT4KQRA+y5qDuuv+o7vO/UJFB9E4oL16knMFvBMZMIsnm+lA/UOpLe
TQ5k7YVgTxxUJ07d3+t6ftubiSYsSvmbNR+sRz2U7QTb1deOfWgZSzifUWlb7pY4
FOTeIm4ImAwphDH4h+ddvGRx60DaV/OT7961EgYZHH4Vq4Rs4x6UpCnlABNA4gQK
2cV27oDt9axEbGAPxrDbMTyaBVLhVAzS6XKevamRtmb7r8g8ilFspmIwKCWi1BMg
DsKkrSQzv5TyeKgEsJ4hucECpTTZHtnG4fnQG+k26x7T3b1NESrntQtp98uBgd6K
LQ71yfWg7B2n51v7WEJzSN03hE4PcVCyzSvKyt93PFASRajEucuBT1L63ZQRIKCm
jnaPKE/jTCW21IhvClKuDuXHb6UFlpdw4++PzpdZ42PDCqztG1dRh0z881Jwahfx
r54W4/WgPshjiuJEyuB9aibHUSyAuCreoNS0UwkIINBDajAwjwF4POMd6gXT7PZ2
oAICTMCR7Yo2uIhKnIHfIoX12AxWsZTyhZQT7UAxbzvHrUY5Kq5w3r3qT6tjaW3j
uocGSLnHuD3FIXFssdyZY15zuxn3pzqkiyWzCQ7Y2QEnuBQR/S10ulR2yPlQJDn6
E8fzFWFboC9xEygK48p9warK7zb3NvuKgmBd3/3f/FWLod2t7ZxOWG4DafkaBbT7
d4oirDkMe/rT6NwHOe+PSljH4cg4G0+1Mr9Wt28VWK5wSSMjFBIwygSZzyfankux
omDjykc0IG9niulZXBAb07MKnLu8KwRSLjD+p7UDDV9BttQAQXDIm3BQYP4j50Fv
8M9KjCtPN4pRiQwULkH0NSt31FALkpIkinGN4PeoW4vILiXct9drj7w8Tgig1daf
pul2z20EiRJnJ2DzGnM8hTR7nwARiM4P4ULXukPJOJPt88ilsq3iZ4ovXevTF0mC
5WI4yOe1AOfCVD/aV85bJ8IA/XNWtqarHbSAcfs8mqr+EWGvdRJbL7FJHsM1amrA
+A3P7goCK0GLWL/dH8q4vTi1lP8AhNK24xbx/wC6KQvsfZJM9se1B5V+KMjN1zcg
HtGg/ShWAkA5HpRD8SZd3XmoHvgqP0oejI2nAxxQFlz8R+qLolY5hFnnaiVD3HVu
r3h/bancMp7gNgVN6PfyRXCSzWsXgzqQMJ+BxURomg2eqX9xDLI6NDIcr+6Bu4yf
zH459KCPmvA74aeSUMMkljTq6snl6fN3FZSLHE4VpiO+e1WZpvSvT8aWMwsZMZVX
Eibi7E+XOOwBxk+oPzqW64tmf4ez/Z7E28duVVo8cBQwGfp2INB588Jj71vwT7Gr
Z6O6Lh6p0hNQtlGwN4cgP7rjuKnNa+FMUOhXdxFIqTwRNIm0dyoz/Sgo4Wz4+435
VngN6qRXpvRel9Eu9C0+9NhETPaxytx3JUE0rqPSOivajw9OgG8Y4QevFBUvw5X+
65IzskYYFWB1X0tbdR6O11YgNewrkY/eHqDQd8M7ZonvImzmG7ZDn37VcnS0KhpF
ZRhs5HcZFB5nktbiwu5Ip0ZWB5U+lbZt2asX4s6dBadVTCBFQNapMVA4zkg/yqtQ
4xwefnQaMRlPJwK7DpG6ruyewxXLxuBnPHrTWAFp2YZwDQEVpEzQ79pINc3KrGhY
1Oabak2KDb6VG6pb4OwD5kUESl4kZJOFBp/ZaxbiTCSIX7c1D3llMUzsJX5Ulo2n
GXUYg8bBN3mJ44oC6TUTIyLKm2MHJYdjSlzJEyb1wAeRiiy003pia0ma5nWMxwth
QSMtjg/niq3aZnjZQGxnjPGaAq0afxZwgOasfTYgbcGq76JtPFkMjjjPFW1p8CLE
oAoGNzbBh2qLlgSNjRRdQBULYoVvtwkoGs1ykSkk4AqGfqW3jfIB4P0pv1TJLb2q
MiM5P8NVpqhu5nLlZApOcYoLjseobW5kAUcfWpuO9tmwrEA+xFUt0dpL6jIzLcyp
cRzIQno0Z+8c+44q0JrSbT1/ZS+Oo/cceb86AwtRFKi4xT1LYxtkdqE9KuGCF0V4
pP4HztNFFjqC3Me11KSDuDQPVQtwexqL1W0Z7d0K7gRmpuBgG57Glbi2Eq5AyO1B
XFxAfDRiuCvlbikngNxp8ifI8fzor1LSCY2G3g88VEQRDzAdh3Uj0oBiS3iurWNJ
mIeFdiv649Mip7py8+xN4Tg+GR970BqK12wuLd2kgBKKNxGO4NMbK7uYokEcLlSc
4APagtyNjLGGjO447e9c3W25tmQrhsYweKArbXLu3x4EuGXnw39qXfq5yw8VSCPQ
HtQI3WoT2dz4M8LqgO0MD/nRNY3UV9phRHDgcr/UVCvrWm6lAI7vaM9nA/nXemWt
vYzGWzn3Qv8AeXPFBCanpX2tyIy0U+c7hyp+dQbWGpWMxEsUUg927EVZE9ks7l1Q
jPJxURr1tK1kssWGMYIdGHdf8xQQ+l2gmxmBQD6KQcGpnUba7g0ub7MTzGdqjvnF
VjHqk6at4Uc8iSI+VQNyD7fNT+lWNPr8s+kSNGvhyLCWXJyc4oIP4SR3Im1GW4Ta
zBVZWGGVsnP4VZ2sMqRMW4GFz+YoD+GXUU+tQ3huY4DNHtBZE27gc96O9Z80WPco
P+YUBPCP2SfQU01E/wBzk+dPE4jX6Uy1E/3J/nRXkbr1y/W+qH/3sfoKhYj5fwqR
6wk39Y6qc5zctUcn+zP0ogj0u/kn0eAMw/u0+MkdlYf5ipHQIoYur9Qt5ZQPGh8S
Jt2ASewP50LaNct4VzBnyld+33IP+VKdTK8N3BMp2FowCFPb5UF+6O62ctvZ2kcY
VEj3swycA7WB/DbT3rW8js+hb6K9IP2mHwPIP/MwSD9MigTTuv8AQrG302SS4cSC
BC4Vc87eVP45pHqH4k6V1PoB0uGzmWYlZA7EYVgefqO9BMfAC5zp2v2JY/s7iOYA
+mQR/SrXu7UTW08LciRGU/iMVR/wLu/B641iyyNtxab1HzVh/Q1fcq8ZoBTonL9E
6Ur/AHo4TEf+Fiv9KmLuIC2AA4Xt+FRPSS+Do99a9jbahcxj5AuWH/5VNJ+0sVOc
kg0FU9MWQtOquqLYDAj1Hcv0bn+tWdoBf7SQzKV524GCPrQFZoIfiL1Io4En2eX8
170edOsVfZJhnGSXH71BW3xniH9veJ2LaZ/JzVQWSNPMN3K1c3xpX/WlufVtOkGP
owqpdMg2As3B70DvVLdIIgO5I9KjbWFuOPvNipLUPEn2+2MKcUvpFj400BbOfExt
x+tAaabbCO2QccKBik7rT0dshefU1I2yFfLinLQbl5FAOtpkQGcDNNZbdYW4xU/P
bN2RSKYvpsrsT/OghZQefYVGSRNPLyuB2FFE9h4UeWpklr5wAuOfagJOjbNY4sKM
1Y1pGwxQr0xY+Fbo3qeaN7SLgZoOZY98RGKGb6y3OSBRkYvKeKibu278UAPqFiXj
wVDLjkGoSHTlDbTErL7EVYctoHUqw4qLuNIAOY+DmgjdO022icOlvGje6jFT1vZx
blJAJ9yKYxQSxYDLx71JQ7hjANAQW1rbSQBGjU/hWzpKq26PHypOyZsD3qWjye9A
1jtSvenIjIXA4pwFrrbQNHjEiYcChPW7b7C7TxlV9ee1GjJ60L9XxlrBxgHIxzQD
EXVFoW8G/gGzsR/WunvNIkQf2dKgZ+y59aE1sp5rlMEFFOCp9qlP7PjtzEPBAy+e
PegTltmmvgfFKtntihrVLyO3uGSZiVBwGUcg0YxRhZ5JnyEjUsxJ9qreeY3t1KSD
sd2/DnignLVt4DxsJI29RR10zGkx2k+U+Uj2oC6ehcSmEjvzRzom62uwBleRkUBx
Z2xELRsclDjNRjW4Nw0bYBzipiCYF5ST3qDhukn1mSNWyxGMZ9qCjPiDpbaN1qZb
dvKWVwF4K80cTTbtFmlYYeSBi2PXih/4sxBOvUnI2hYELA8iQfSnlpfC80S5ZASE
hIII7cUC3wWQiHUmPcsn9atTVl2lV7/tI+/1FVT8Gifs2pFj++g/nVnatKGnj2ny
maMcfWgMl+6PpTDU3C2EjH0Gafr9wfSoPqCXwtLkBz5hig8g6/N4/Ud/L33XDnP4
0lCycb87fXHekr47tSuW95WP6mtj/Zmg3p84t7veQcMpHHzqR1WMS6FbznJdXIP0
qFjbZIrMMhSMiiK9G+wvYRg8LKmPQd+KAYU9+9PLCQrcoRnk4qPyQKc27bZUPzoL
G+FFybT4r6cP3Z0lhP4qcfyr0048teTulb37B17oV12CXkYJ+THH9a9XyMVd174I
oBzQ08PWOo7Yjj7Ykw/441/qDUpZqBZtH6o7Co+2zD1vqUeeJ7GGYfVWdT/MVJwD
BuBtx5/z4oK8uU8L4m3vOPG06FgPfDEUd6RY7Lr7Uj4VhytAOuM8XxVtcjyS6ayg
/R8/1o+0q4lFwkWP2eBQAPxjj36lpw4Je0mX/mFVXFCsK98e9Wz8ZQI59Jm4yI5V
z7dqpme/HKg5+VBISbZpMpwO1G2kWsQ6djYx/tY7jhsdwV5FAOnsZGDeme1WTZbo
+nIsEbWuCcDvnaKCRsYAxye1S4tEYAbaj7D7vzqahAI5oGrWKfw01ltOSMcVOBfL
TG/cQwOx9BQCeqBFO04wKa2FuLmcbewIyaRm8bWLwpH5Y1PmaiLSbGK12qCfagJ9
Mt1hhRQOwoitBwKgrTgj2xU7aOBQPvD8tMrmJecipIcrSM0HiLQQUkY9KRMAPcV3
qCzWUwznwz2NcR3CyLkGg2tuvHlFKpbKDwK3EQadR8mgUt4tpHFSUY4FNYsAU7Tt
QKVlZWUGHtQ71LF41sVAOT2oiPaobV1DIflQAkVv9muCkaAhu5I5FPtUslgsYSAN
xOOKbzymS9AQHOfyNT0lmZIrbxB5VyW+VAB9STHS+nzFk+LdHbux90UE2UJhzuQN
mpbV9eXWOpb2AL/d42MUY+nr+NZbwRhwpB5OBQSukokV0JFUDaQfrRBFIEud2CTn
dmoe0h8Nl4qTB7ANyARzQFGn3JmtpJTxnNBPTmpOOoLidmLI0pB+R7URaezLBHAp
5Y4pW26TS2kd4AqvI25j7mgqf4u3iXHV9vGGzi2TeM9jkkfpUl02gHT+pMRnNux/
SnPVPwn6i1fX7nUree3lWRwyxsxUqvoKKenPh9fwaZLa38iwiRSp8Ns8EUA58FIl
e21DecIZkGfwNWRrMMMd5aJC2QZ488+uaadIfD6HpWC5hjvGnWZwwLLgrgdqJTo1
szIXVmKsHGfQiglAcRk/KhbqoytYK0cihFBLqRy3HGD6UTkHZtzTO4tEmjKsoYY9
aDx9qWhXMNzJIqkqWJwe/eo4qQCpBBFesr3pTTroHxLWM/MLQlq3wu0C7cyOkkTH
1ibFB591y0Njrl/angRTsBx6ZyP0NSNtN4yRbgRuh2EnnOOP5Ut1zbbNdS5Ha5gV
s/NfKf5Co6wlzDH5DhH7596CFkQo7KfQ4rpGweKd6vbG0vXU482HGD6GmSdxQTxm
ME9tdKeUKSZ+YNewluI5raK43ALPErj8QDXjjAl02PI5AK16Ntr/AFK4+HXTdzpq
CSWW0WJyfTaMZ/Q0BNMF/wBK7GdSMT2c0Q+eGVv86Sa8vlSVliwdpPbPIpK08aWP
QLq4TZNHO8Tj/eRl/U4pK2k1AarPA8yvEsz/ALmNq+gzQDnUrN/pn07OVx4tvOpw
PXCnFHekxFjHIDwAM0GdYxeHrfTMx/duZYyT84z/AJUZ6TNtjRRjGKAB+NwBtdLJ
PP7XA+gBqhlyXJz3q/PjaubHS29jMP8AkqgYHBkAoJ/S/QVaESL/AKHwvg7luT29
sCqx0xTvHFW5YWvj/D+d84ZZGb8sUCOnzDy5qchk7UJWNwBt9eKIbWYMBQTSPxzT
S8VZoZEPOQa6WUbaZXt14YPuaCAgRbOKWJR5txPPrTjTr4G5Ctxio6/lYHepwf51
GC/fx0Yrg+4oLNjuVXGKk7O7BIO7tQHbakzIASc1JWt4wPc5oLFivY/DzurpL6F2
wHB/GgGe+nkj8PcQp9jTGGa5ikBid8g+9BYetGOTTZMkZAyKDY7hoJMEYU9uaepc
XN3GBO3A9KaX6ALxjd3BoJW0uN6ZNP43oYsLs4weG7Yqcglz3NBMQvk09jbiomGT
BHNSMTZFA7FbzXI7Vug2e1RN/C06sFOKlW+6aYOx3NigiItPhbDbAJVPceta1u4N
rpkxx+0Zdqr705LbGDDg5qB6ovUFxZLvG5shx7fOgqO76fm0+/S7jBMEz5Huv41O
wQtIm0A5yGWjJNPi1C2a3deAdwHsabxaTKkojWLIHAoIaJnEmDkcfnTm2gd5mVed
xB+lEdr01cSyKCEVfU96I9P6ds7AFgu9z3ZqCC07RZ/EimZ9oU5xjvRRFCQd1OhG
qjgCt4AoEwvyrsJW801u9VsLBS13e28C+8kgX+dA7AArfAoK1L4q9IabuDaqs7r3
S3UyH9OKDNT/AO0FpcLFdP0i5nI7NM4QfkMmguYuB6UjJKAe9UbYfGDX+o5Jreyt
La2kRd4CguSPxpjqN51jqqlZ7y6IPpG2wfpQXNqGuafZZ+0XsER9nkAqOur1H7HI
PtXnfUtG1Gyk+13kUhVGDMztuq64bkT2cMq8K8asPoRQU/1zb79LsroDmKVoifkw
yP1BoV0ti4miDYG3fjHfFH/UFv8AbOmL9QvKxiZf+A5P6ZoE0W3jm1CJXLbX44Pv
QJdQRgXMcq5KvGPzqIX7wo86wsI16asZ44wpilMTYHPI4/lQGDg0ExZyb7Mx57Gv
SnwdvBcfDSwD+Y2s0sP082R/OvMdgxO8Y425q/8A4E3Pi9MazZg5MN2sgHyZf+lB
ZepYa3jkC48K4jft7MB/WnEqYm4AGc549ay6VjaT8A8blz8uaVZQ7B/xFAD9bx5/
sSbGSmoR/qGH9aIdNUbYyM5xUP1whGkW785ju4X/ACcf51NaexVYyueeKAO+NQzo
+nH/ANyT/wDbNeeID+0r0b8Y139OWjeolb/8DXnOAESg4oCXSWbKg1a+kOz9OG1B
PnSRsD1wQKqvSyhKjHOaLn6mXQp9P3Rs6NDNG2DjuwI/lQdWrkSMOxBwaIbR22jH
rQlZ3qyXG8DhjmivTnDsFoJgSFYsn0FDt/f7pyQTgcVLavcC3sjtBJPHFC0xbwwx
U/jQdXDM/PfNNfC5GRkUssq4ALD86ViaFjhnH4UC8MbFBtJFSluxB7c00ieJQqxs
CakooicGgUDs45Apzaq/i9uK0sSRqGLAkU8tkDcgigeoMLTa7jyMmnAYAYyKaXdy
FGwj8aCLlc283igcHg1L2txuUEHNREkiurA4rvTLht7RMeR2+lAUwyk4qYtZARjP
NDkLN79ql7KQlgaCcXtXVJIeBSgNBqQjbUJdSNHIxzx6VLzny0OanN4KPv4UcqaB
pcakrdmOSPShm4sbu8v2uSS5B+6eOPlSxv4yyLKWU85Kjg1zN1Clgl04hZvAjDcn
7w+VAQWURSZDtIOOc1NxW0Yk3ZwDzQJp/V0l/N4YRFwoYYPcGnfU2tz2NtaMjsBI
rBsd8+lAcSahY2UeZ7mGJR6u4FDerfFPpLR3aObUxLKveOBC5/TiqG1DXnluHMqs
2WIJY9qHL4LNcPIQcnHagvS4+O2mOSum6Xczn0MzBB+XJoc1H4ydQzymK2itLMYz
uClz+tVba28yEskTbT605NvcvNvKegHNBPa31x1Hd25MuuXbEnBVH2Lj8MUHXF3N
cShppXkb3dix/Wpl9PaZdrsQM+lcLosTMCd+RQQkjk8elNJCc9qKH0RChCgn8axO
nYJFB85oHnw1H+urhvaA/wAxVuw42cY5qrNH05tIuGntHILLtYHnIolstSuPDZHk
Y85HPYe1Ap1ztGhXPbO3mibSiP7CsSGGPAT1+VC1xsu0KyqHX1Dc1kTtFEsSMVRR
gLk4FAxRJEkaB3LQTK0ZB9Awx/Wq4s90F2iNkNG+w8+oOKsaTDoQDyKBNctxa9Q3
iqDtdxKv0YZ/qaAx1qH7V0hqEYOfD2zLn5GqtP3qs7pmU31jc2khLCWBo/04qs5U
McjI33gSD9RQO7A/twv8QIq6PgNcmPXNZsd3E1qkqj5q2P61TVtaSRlZiDhcHNWf
8ILn7L8R7NTwLm3mh/HG4fyoPRZXfbY9SmP0rmAf3eLPfYP5U4xx2pK3B8EA9wSP
1oBvrSHxNFkx+6Vb8mBp5p4xHGaU6ki8XSpV91IpbRlBtkJ54FAI/FyPxOmIiP3X
J/5TXm2IEvn19q9O/FVf/pJ3JAVW5J+YIrzVBbv4uNtBP9ORF5MMP3uM+lL9W28r
z2awg+WNiSPU7qmektEuriUGOE7TzkjirBk6Lilt1M5UyAEZA4FBUumSPGQrnB44
NHWi3O9lzjPY0K3NjHHNIPEHixORtx3AOKltIn8JwM555oDuWBZ48kZA5qAvrVZo
3A4PpiiGymWWLAPcetMLxBHI49KCqNaW8sJWG9jzkHFIaL1FbRLOmqM4ccxsKMdf
shcwZC5NA02heO+AOaA20eBNY2yWt4CCM8ehojTSdRgK4uFYHjmqqtdN1bRpftFh
LIjey+tOJOr+pAyB7mQFGyPL60FxxaTcm1eR5l3rg7QOCPrTe8RLCJZZbwRAkDJP
HNVnH1N1fqEDQiVtki4JC44rg9N67qiot1dSuMcBmJoDLqHqeLp+2SVb1LhmYDYp
yce9C69f6le3DbbYGAnyFh5sU5s/h0FZTKWkPzPajDSuirS3AkljUkdhightPvdQ
vV3S2+wdwantMVmuUcjBHBqaOnIgwijAHoK3aWyrK2V5zQPYu4GKlbTg0wjQBhin
9vwcGglYmJHelwcCmsPYUtI4WMmgQuJDkjnFB3Vl40GmSFD51Pr7URXNwzKAAc0D
9UNIJRGzeVxggnvQCNrrREm5gJPNyAaIkgi1CNgoXzLjt3B9KgYtFxK00I8oIJ47
UX6fYFIo5FXDDhgfagFLKxmt9XkjhiZAqhSTSvXNzI1rbIpBEDfnxRrJZBbr7SiZ
kC4YY+8KHepunLydPtUS74tvKj0oK2tdLXVEf+Lk4FdWekyRXf2C4jG8gtCxH3x7
fUVI6WkulamhYELv4z2zVmzaDaa/pSOiiKUeZHQeaJx2IoKyXQpFOAmAaWGgS9hG
as7Q9Pjvo5ILuER39udsyAcH2YfI1OroUKjHhg0FMJ0/N6Rn8RXa9Py85Qirl/sa
Mdo1/KuG0JG/coKjTQHP/l4peLp2QMDtJHrxVqDQF/gpWPRowSNoyO4oK3TpgnnH
6V3/AKKPglQRn2qyF0+FJViyAx5Ap2unIKCqx0zcoCApYU2uNAuU/cbP0q4PsKKy
gjv2rs6fCe6g0HnNGxkHv6YoY6tiK3lnc+ksJjP1U/5EUSggsSx/SovqqFZdFSWP
n7POD9AwIP64oEukJ9l/FnAGRmhfqW1+xdRX0AGAJmI+h5H86mOnd7XqBASSewpT
4hWTRa+kxXBngRyD/EBg/wAqAet9RmWMwKQI3wGHvRz0Zc/Yet9DuTwqXqKx+TZX
+tA9hpV5dyqtvbTSsT2RCau7ofoW6tb5dS1JVQbcpAwyc+59qC8yygcnmmniukki
gAqWyDSEc2UHPpXL3Ma93A/Gg3fA3UBic4UjnFMtPtJrJAi3krqOAGwa7k1G3AwX
GabNqsa52qTQPtRtYNStTDdoJoz3VxkGoGLpTRIZN8emW4bvnYKdPrDkYAUU2kv5
W53cUEpBbW9soWONEHsBilWlhHDNQ1Pq9tACZ7uJMe7iom5630S2V2N4JNgyQnPF
Aj1d0nZahOb2zdoLgtlgPun50DwtJY3bRSPkq2KltS+KmmMWS3t5X9mPFBt3ry6j
ctOibM84BoLR0e/BAUHjAp9ePv5qvdI1bO0F/P6/Ki60vBKoy2R6UHc0Ikj2lcio
Y6bsuN4XjOcYoriQSJnFItAAxyKCKhiUjDIPxFKjSbSRw5iTJ+VS8dsjAAqKcJax
gjigbWenQJgCNfyqWhst2FVAPwru3t1RuKlY1CjigThso4xyKVMYxgDillORW9mT
QNPD47VwIsHNPmj44rgwkLmgbhPMKewrkCk1Q+opymFAoHkfApK4lXG01y1woGAa
aud7Zzmg2qGQFsEECg/qW0jvrdt2QUJbPt86N2zHZswB7UJ3jqtlNKVyqglvpQCP
SWrJc30ukXe03kROw/8AqL/nRc84sVAJwO3FUhrOqnTOqkurRgChDoynHaiK7+In
25222wi3oCxLZw2OcUFtWE6zSc9yMce1TtvboUMTjKt2yK80t8Q9UsZd1vPhl/EU
/j+M/VIYbZbYjHYw/wDWgt/XejYpZGeKLyt7ehpPp6G6sJzaTA4/dJ/eH+dVgPjr
1TGm0w6c+PUwn/OuR8deo2bL2eln/wDRYfruoPQ8WmWiXQuxEvj7dvieuPanXhiq
M0j4+yIxGqaVG6k/et3Kkfgc0baR8YOk9SKpJdS2jse08fH5jIoDwooHbtWAKQCB
XEVxDdW4mt5Ulidcq6HII+RpRPujHtQJyZ8RVA4OeaahTm5I77uPyp6ykuDntTcJ
uEw92IoIa0zJqy7uSo5+tThyGQAcE81Eaev+tXHOFBqa2HcpB7UHEgzNEPqa2wO5
cdvX6V0wzOvyU10VywPtQeXofOoz3ztIpS7sjdaVeWyruaSBto+a+YfyqMmkuLe1
S6gQsDg8VN6bqoaS1mkTYdw3j2Hr+lAF6LLeWV6nhq6OPlVwaTa2GpWqz6raxzzL
90yJkgUMTX+l6XI0U8sKyRkqfU8HH+VIy9f6VbLiLxZSPZcZoLMgmsbQBbe2jRR2
woH8qXbWW+6u0e2Kpe4+J8hyLayC893bNQ958QdamyEkWEHtsHNBfkmqzFfNMQvz
OKjrnqTT7bm4voV+r154uOodUu2zNfTMD38xFPraGS5tUdtzE5GSc0Fv3PxF0O3J
CzvKf8C1B6h8WYowVtLB3OM5dscVX4sm9qbz25TaCDz5e3vQE938VtanUrAsMA91
XJqDuurtbvc+PqEpB9AcVAImXUN296X2FWwRjHvQSCPNcy2rePJLJNGdwJJ8wJGP
5fnVjQdGppPR2o6hqrCO4ktm8NCcFT6fj2oO6O1XTdGv476/t/G+zl9iZ7k9j+FZ
1V1ne9RajOzzN9jPliiHAA470A4wIXPbNd212YWxng0zklbgZ4+tchux9qAssLkp
Ism7v86LtP1QEr5iee2arezuN2FJ+lEFle+CVJH3aC5tLkDxjJ71ISQBu1BnTGpm
chXfJ749qOIzvXI5oE0jK10AS3btTqNM0ssPmBNBzCCw4p/GSAAcZpOOELzTnYGI
PtQKqPKKWUAYzXC4CiutwI780CoUMrc9qxkHhEfjSDTBEJ/Omc+rRpF35AxQLPMs
YbJHFISXiqDz9BQ5e6wFkODwRimkWpCRx5j2waAlkuZG2le5P5VI2qtuG44qBtZg
+3aNxyM0Rwh3IYnj2oHcgzbuvpg1THWPU7afN9kBKJ5lf2Ix2q6ipaI4ODivLXxH
kduprtN5KK5AGaAXu737ZdmQnDKcDPqKcuhntVCkKfQ5qDU/tamrRi0J3DJ96CIu
IpYnw/Iz3rmNznhhUvJGGBBGc1Fzw+ExYdqDTO3vXOT71ikMtaK4FBgY54pQTOjA
hiKRDYwK2x4oLC6J+Jmq9LiSGLZPBIOIZWO0H3HtRM3/AGg9YSQg6NZDHcb3qlo5
Cr8HBp3dr40ImTO4cOP60FwD/tC6ru82j2WPbe9KRf8AaCuVLb9DgO5s8TkY/SqO
Un1rsZJ70F56X8cbeO9aW50eQK3/AKcoP8xVl9L/ABG0LqiRYLaR4Lk9oZxgt9D2
NeSkGB3qd0HUpdMvoLyKTbLC6uvPqDQexMZmz/hpTbUT0/rdr1BpcGoWrgh1AdR3
Rscqali6r3IFB5O6fvxLptvk54AIPNP5lHiFwNufahHpi4xAY8/dfIomkuI1YguB
68mggusbdjrC3PpcwpIfrjB/UUNshA9aOtWksr/T7Ym5jEkDMmCeSp5H65obuI7O
KM/t1c+yighwnrXEqErmlnYc7aRLk+tQN9pHfNWf0Loh1fRZHC7tsnB/D/pVb7qm
9C6v1fp1GTTrnw0Y5ZCuQTVD7qqeTTNVk09RseE+b51BjUrgYy+7aQwyK3rmr3Gv
6rNqV1tE8pBfaMDIGKjieO9QO/HVnZiMEnPHpzSrX6rc+Mqg/IjI7YqOzWqBZ5SW
yOBXO/NJ1lB361vNcg1vNELW77JAfY1OLKpIOaHgeakreXxIwPUCqov0DU2tp2ZT
jkZq1tL1RJYFIIORnvVFWt14bY5GaJ9J157YKN+RuGMntQXXDcKQDkU7jkDdqCLD
qGG4VQH59efWp221BWxhh+dASxkYyaWVhjvUKl8uMEilftyKPvDFBKmUL3pGW6SI
bywHp3ocvuoILYsWkHbIGaFr/qxbm3kVWIKklee9AdXuqIqbVb767gM+1CF/rQlh
lCPsbPAJobvepDG0cqON6EMFJzg1Eajq8V5I0luhiEhy0efun5H2oJo6q0sxXcT6
VN6PFLd3G0navqTQrpNs0k6luPXmrB6ftGB3NjPcH0oCjT7RYkCY5HBPvU9AgRQa
ibVPCBZ2zmlpdRSJGZnAA96Bzq+pR2GnSyuwGFNeW+sJxPqM82clmJq1esOpzcK8
ETDwxx371SmuXQnumC9gaCIih3NuyealrQjZtzUYrYx8qc20rGQc5oJBxg0wuVGO
aeu2RxTSftQRJJRvlmlVkDjFcyqKQyVPzoF3TFck5UV3HMGAV+R/KupIsYI5U9jQ
NWOCMVIWkuMK3KtwwPtTBxg11FJtNA6uIBDIcdieKRB5p6f7xbHnLpyPpTH1oF1I
p7CcLxUeh5NPYj5aA+6G62uemL+N2YyWchCTxZ9PRh8xXoPTdb0/WIBNYXUU6kZw
jZYfUV5KgwUZTnkU50/W76ymSexuZILqPjcrYyKAcjkMQOxiufattNIxyXY/U0jk
Gs3YoFC5965LZ71xmtVB0Wya4Jwa3muSaDquazNZQZnFarKygw8mszWVlBo1gNbr
R71Rut1yM1uoOs0pDK0TBge1Ny1dA8UEvb3KTMM+Vx3+dP42cOCDkChxSRjBwalr
C/2uC55HvVEzJqMsRyCVxTyz6vvrYKBJuA967tms9ThCbQr+3vTgdJrIOGbntige
xde3hHmVc/WuJusruaQEviPjKrSMPRk7Mcthcd6dr0bIvG/j6UEXc6nNJcTTNKzB
lwMmm8V4WgaPu5BoiTpCRjhmOPpTqLo3a2VckHvkYoA6C1nlIDDk1O2OjbiodG7+
1GFp05CgHiL5sYyKnbfT4YgAqUEXpGkLHkFPTuaKraJIEXbwBSewInAAoV6h6kFi
GiglHiY7g9qAl1HqGC13J4gyoycGgnVuq3uGcI7Kh4JoJv8AqIbmeWYlz3xQ7ea3
LcEhGKqfnQS+ta9ktFG2WPBOe1CzybiSfXnNcs27JNN3kzwO1BuWXPanWnSDLAnm
o7vS8MMmQ6ZBFBO9xSEw4NIxX2PLKMH3pYsrjIYH6UDB1yTmm8i+tPJFAJpuwzxQ
NgxGDTuCVT5WGR7U2kXFYjEPQOp4ChznIPY00PFPo5Q6lH+6aQmhKHHH1FAvaTbW
GK6uYtkm4fdbkUxjfac1JJIssO0+nIoGq8Nin0PA7U0K4bkU6iYDg0Dq3bzj5HtT
a4Biu3AXAJzzSqPtbiub4ZWOQevB+tBD8VlazWZqI3Wic1rJrKDDWq2a1RWVlZWU
GVlZWUGVutVlBhrDyK2a1QZXJzmuq0e9BrFZjFdYrR7VRsEgVsMfetDsKyoHNvez
2zhopGUj50U6b17c221biFZAPUcGg2t4oLcsviJpUmBcLJC3vjIqci6x0CVcfbEH
+9xVEBsHmu1bJqj0BH1JoW3P9oQAf71K/wClXT8a86jCfxrz6GPua63H3NBfT9fd
O2+T9r3n/Cuaj7n4r6RED9ngllP0xVK7j71mTjPzoLE1f4r391G0dpbpAp4yTk0C
3es3t47NNMzFu/NMZH45pLdxUHe8scknNdoCa4UUsgA59aDJOBgU2I5p2wyK4WPJ
5FBzDDuIJqSiTatIxIAQKdAZFUR16mJNwHBpsHdPusRUncRhlpgU70HHjyHuc1hk
J7DFdbK5wKgT3EmsORWz96uyBig5ViPXmniOs0XhtjPoaYkc0pE2GqjmSMo5Hauo
5CPWneBInbmmjKVf5UC4ckUsh4poD6UupoFxJhu9OXxLbMuRwMiox281PLSUbgG7
UEVWqysqDKysrKDKysrKDKysrKDKysrKDKysrKDKysrKDKysrKDKysrKDKUihMqN
g8gcD3pOlIiQpRSQ/cGgTrM4rCCCQe9ZQdBh6jNYMjtXNb7etB0H5rvfSPY136A0
CofFcO+eK1n3rg9zQYa1WicCulXcRQKKOK43UvINqYpvQKqx7UshpsOK6DHNA/Q0
4TkVHpJzT6Bt2BmqOZxTJu9SMgJ4plKm0nIoEDXLHFdHtXDcig4Xmu8VgUCuqgSb
vXIrpuDXNAvBKBxSsyB0yO4pop2mncT/ALpqhvGacemflSMyeFIQPuk5BpRfug1A
m5w1Kwvhu9ISd61GT3zVHFZWVlQZWVlZQZWVlZQZWVlZQZWVlZQZWVlZQZWVlZQZ
WVlZQZWVlZQZWc+nf3rKyg2SWJJ7mtVlZQZWVlZQZW91arKDC1Zke9aauaDunNug
27j+FNUUs4FSCrtQCqE5j2FI4FKScmuMVAlWxXTCue1EdhiO1OYZSuMk0zzXSyEU
VLLJuNcyIHUj1ppDLj1pws2fWqGjqQTxSR70/eMSDI7/AM6aOhXOaDgDitHitj7t
aPrUHBGTWq6rWKDmu0fHFcVg4oHrKJotpPI7UlGeCD6VkT8j0ruRf317HvVCMvek
1IpVhkZpDsaD/9mJAU4EEwEIADgCGyMFCwkIBwIGFQgJCgsCBBYCAwECHgECF4AW
IQRLqt3vO+0Jg5Y5nQjGTWhvyX1LLQUCX3G0tAAKCRDGTWhvyX1LLRQ2B/9G1MyL
3G4KQsc67r+7ZS2FYLTjFkqLz1IgAqHZeK0GmPRmCGAjviW4kE5wG5I12y6xbG9X
07FIJBxkRWYola3fC8pLSjn4ZwQtH+4hyNc8t5BF3wh+ZhvCr8uSEOFqocjwlMIT
yLjQ40LSV0YlLshTOfvuoX3Tub9a5Axmz+vhee2YJPBlFzSSwyrlSL6JeHjCi8gq
enq2U6euGLtZRihR25tvwVZL12cWUzMS/8cal6RGrxpOB9Zui2AMDvZ6HJh/+K2z
aXBl8p6I0OfPAXzOtKn4mDnNfaNCCzQL6OUll2jx40ypvYZ1WcDtJOFxFWfhFbQQ
WWAiZ5zj21rdBm2ViQE9BBMBCAAnBQJVFWKQAhsjBQkJZgGABQsJCAcCBhUICQoL
AgQWAgMBAh4BAheAAAoJEMZNaG/JfUstVz4H/07cpKHybkL5SkCcBZPW6Ab/RA9i
238C0guCr/74PLhvD2ngrsODFixCrZbAtw4YcIbfSRzmxqnKsR36QdSPSZdxY0Hk
nhZlskQMl02XY2N0QBB/3clb2JDHTh6e2TAsSkpoigRRFM9Inf3fzedahNOWA4MT
uQc1NjRWnCZNv/HQNWgDT3fEfbTFeyQkvkI5jAEfpxUhqCTAhM89hKY15WGnW07E
MCslD7e9iRD4PZzYxftAjknIZAgmbDX+ejgqBCTpIRLhKGUlNJoQu/klM7wDrHm4
2mG+3fbejULgbmdqNghQfsXkl9hAneji/ffBcTWuazly80Snclj7vrQVsKmJAVQE
EwEIAD4CGyMFCwkIBwIGFQgJCgsCBBYCAwECHgECF4AWIQRLqt3vO+0Jg5Y5nQjG
TWhvyX1LLQUCWznqKgUJDQ4BRwAKCRDGTWhvyX1LLeCvB/wKLvWnnoyl2HB2BtcJ
aF2bS5mV0AqZCSxAFmq2gRHuHHDjDl2nc0vSSmAcIoFI2FZaggqKxmUzNMdWOJlj
3rETvcPWpJA07hvL0mApnyqFni8M39eiejI01x6OHmjpmg5Z7zMScSKQMVIgRH9s
Dvkiap8VZsqyw5RhtDjrUeb/OMMQ3vQ4qpl26pYHueecrPP70UhfI/cSs2gMz7NI
Q3shifIozyZx4JfgWd7JcnMI9E+Y2W3/5Psyoz9bYm0ta/kB3D4TzgdindD3IhQ/
LYku5cQBWQdKdrEH/R8LrjqhasdUuuNNXO1eG3Ad8tUjybJrZQkylulJq39GJwGv
lE9otFtKb25hcyBCZXR6ZW5kYWhsIChGYWNoc2NoYWZ0IFRlY2huaWssIFVuaXZl
cnNpdMOkdCBCaWVsZWZlbGQpIDxqb25hc0BmYWNoc2NoYWZ0LnRlY2hmYWsuZGU+
iQFOBBMBCAA4AhsjBQsJCAcCBhUICQoLAgQWAgMBAh4BAheAFiEES6rd7zvtCYOW
OZ0Ixk1ob8l9Sy0FAl9xtLQACgkQxk1ob8l9Sy21bgf7BKRQQj6kDSnfqwcvjneM
KAHm0nLf3h5a/Ew1hAVVRZr1v8wZUiHrPs8n0SYEf4OAlTYIU/qAAueOTkBIKN8E
CZEG1qMsJzD2paANMvxxxfW0qAHGRBhr/jRfnzZZroneUKqwuEPCQvoh/VqKAp0l
YII+D5ZkWlfhzEcyvGGQH9eZWYHp8ltBXVPxX6bUfQ+3bq/o2eLOvwbZxWy+Mtah
WaST1aEogUyG4RjUK5DjpqjN1bif2Uacfi07OvqCmfgApfyaWCiszq3qUoy+4QJX
xqImZti6IQi0Iht7cVeHtlySVEEpVtaRTlbDSw6SdVxaRdCmH3RD921KPtnKj9iE
QYkBPQQTAQgAJwUCVhLu4gIbIwUJCWYBgAULCQgHAgYVCAkKCwIEFgIDAQIeAQIX
gAAKCRDGTWhvyX1LLemXCACSilTNIgkifNvGUqAiB3D27IOM2Rj9mW5QeBh2naC9
fAbwD22W5VdNqfSjDTk08v4yqHq6DyTjmm4bN/N4RNrkV+Vcr9Wd5fJ/zJDHOf/y
X9Oknfd6S9MhrNVsdWzx+rkfMi/iD91jgaoelAL6Ir5W1fjghnU1rpQ52MGeSvbo
Wqtb8vzUdmd6Ayfr5Lf132lW8/i+c09V+hMEdVdWsm4fD5ZOxta75AyDMHPjy6sk
idYLPGh3r+YR9XSZk2a9e9MoD5WMu2QpNE0PYcT0g1du51sQOlpfqkU+nloE907f
r+RFLqwOqZ5qo6wo2no+ihDPbKZeS1tb/WX6r/9ngZH6iQFUBBMBCAA+AhsjBQsJ
CAcCBhUICQoLAgQWAgMBAh4BAheAFiEES6rd7zvtCYOWOZ0Ixk1ob8l9Sy0FAls5
6ioFCQ0OAUcACgkQxk1ob8l9Sy2b3Af+MneiutfWiEzB4fDJK5S0OpqVFaGLB6Ta
8tTi3ogBv1qOWkwD614Kh1ECxjcwdaWM8qfysybPN1+YgYVdxLaDmLzmuexmDqdI
x2bw/+aVIXYT3j55j+X+mBGdYqfwxDYPq75r1o4FHL2k/2ViAS4aWK/yI05u7c3e
5H65pacpbu19cWL8iDQ4kS/tLsiA3Ny9/pwW16wasVj4RoDBO2B+je8XTG25U2R1
zVsiFO2Goq8Q9immRBciJH8Rckp7LCw8YJ1XRfWxS0+7ol/D5fxxr5mqKZZX7Gd9
WRxETbJGJLjGHtc4SYknyWT96QeP1vREbw0SSSBWu092QM6Y86HLcLQqSm9uYXMg
QmV0emVuZGFobCA8am9uYXMuYmV0emVuZGFobEBmYXUuZGU+iQFOBBMBCAA4Ahsj
BQsJCAcCBhUKCQgLAgQWAgMBAh4BAheAFiEES6rd7zvtCYOWOZ0Ixk1ob8l9Sy0F
Al9xtLQACgkQxk1ob8l9Sy3zEAgArXOm8RS3+HnAMWzac2tWJlTmQNIEi/xHuRq7
zVDhYF0GtdzkSCYASLk/GyVnSxRvGTcDl16UQgFvdC43Q51TKvpThR92ZVvcvyoj
reioFFiNd9tb3MPZrwORtNVODiA0hEqqyWY6kCHIThhC6bfvO46N23sYeblzU0lu
QdYU3iTQSg5fJ93Yn4ZeH/EzORXXB1OxYqwI6BNjfATC1zeUs8wdwJVfz5DwImKu
6PNvrQeT0i1DsvEkR6wYt+FOw67+EvTD+WjOJoFbhXuZZqxLZsP2e8q6k2CTv30b
MKeNRfHUWSTe2kSdhdy4pHHmN4+CEM4laTFsCqrcI/697YY5bYkBVAQTAQgAPhYh
BEuq3e877QmDljmdCMZNaG/JfUstBQJahcZzAhsjBQkJZgGABQsJCAcCBhUKCQgL
AgQWAgMBAh4BAheAAAoJEMZNaG/JfUstbeMIALCCGzexxOup5VXofXMYzFtp7XkZ
WmLG0tEdBUFJ/Fw4wQNLFKrwNy3HUGRRRyuxCxfTwpyFReSsff1mMBMDpRWf3LLv
QwinWqc34dXhMJU2DOS4CTqFU2OdpUuP0o6FW2ePIllo3lLJd0Q0lMxrUdyaAe7i
MUX7JeabRJ+ykstNkHMtdJDs0Mxf5V7SUbxGTM3S1PhNZYm2N+x+uRbaBWq7qMlJ
Q/KVJ8W3yVq0lGSy47/FbcGBZuFXNffajo+WB3q1ZGkiuTJu82hr2ncLXgfnjO5u
/2OBWnpbAk+N6nFosg3Jn83lKwEDPSb74sgV2zZiGODNIeV3ww+Fs8utq56JAVQE
EwEIAD4CGyMFCwkIBwIGFQoJCAsCBBYCAwECHgECF4AWIQRLqt3vO+0Jg5Y5nQjG
TWhvyX1LLQUCWznqKgUJDQ4BRwAKCRDGTWhvyX1LLcaICACm46I43p/+4var1Loj
FyT41lqHDhzF9qeflGCdqjmHbWhz/BFgqYUTFNl9BT/uv/3ODlzPfUqCPGw/IpEF
uamkC8f5dAYinVXBjMnqzmh0GGp6LxgN8m18E743Sf9p4+6U5o3BH1rgOaiA7dba
ZMKkNvZoru+EWuYQIAHelKzgoEpwK1ZYOKGI2mzaHETWfdZUKlEq498QbRK2zs2s
3Cemu+MTFl2oieG/wGDGtICFfcwxBW+bHzavZHHj5KzT6MT5XrCN2oua7uZQ7HWZ
Z/kZuRARwKAEhn60fOdiPHPov8XDzVYMapWtKSorw0kvYNo6yhqUleejmXLzYwYx
O9hwtC1Kb25hcyBCZXR6ZW5kYWhsIDxqb25hcy5iZXR6ZW5kYWhsQHBvc3Rlby5k
ZT6JAU4EEwEIADgCGyMFCwkIBwIGFQoJCAsCBBYCAwECHgECF4AWIQRLqt3vO+0J
g5Y5nQjGTWhvyX1LLQUCX3G0tAAKCRDGTWhvyX1LLe+DCACam8MQwLMi5cj1X3yY
XKQlxPBIFd3CUbtyTDCvqHJiEs7Wlt5z95N1nzGQvx/TM2UyjChwbNU7oeSFjEak
G7OrLQej1czm2eHAGp0vbiW8EB18Fyo2IJ41au1BQ7yKtmu2kJLw6m4KUF17y8c1
BXxlZKs52YZlEwXZKQFfxcJdiskQHiCuh/8HpLJX1ZYsh0yWLxxGB/VoGtleCqHw
cgjxQNxS4z+urVzmv26vDu75JGdknfT7lYJNsdf045CyMhgNHlV1md3uKcU/F73z
QXLVPABv1fmXh/LxMzdyS9aS9BvgTZuOBftBJWoujRiGp6eKwjbfE3QTi395jSrh
QhLptCVMYW1iZGFUb3Rvcm8gPGxhbWJkYXRvdG9yb0Bwb3N0ZW8uZGU+iQFOBBMB
CAA4AhsjBQsJCAcCBhUKCQgLAgQWAgMBAh4BAheAFiEES6rd7zvtCYOWOZ0Ixk1o
b8l9Sy0FAl9xtLQACgkQxk1ob8l9Sy3A4wf/bw4mAIhvgtQqBF02kqoJHb8fPQ53
qwywv08VCCYedRSlC/f5X/pS6q5lWfZtGl/puWNVnjDfoT0Ng/S+wE2mtmk4OJ63
NfI1rqkwwjHu6txkTZmeND5SmczSKdsKbxsbC1U7jnJqKINnGGifZP9W+QPVo0Rw
PLdy6yJ2AGlyQPmGgFNXfbSCn6hVNTSNMqtzpShtby5CrkenX69oFuwXOnLaG18j
69lAncSMsMe37vHdJFo33+BZSlV/R3cabCaSTEhV/HuU8tc5t6F8AnR5ThRTbkxy
QXJ4fhcaNJT1OssJQDU441kMCD9r0bpOkePRLL3wvK8siJAgMNrCmtR9XtH/AAAk
5/8AACTiARAAAQEAAAAAAAAAAAAAAAD/2P/gABBKRklGAAEBAQEsASwAAP/hGIZF
eGlmAABJSSoACAAAAAUAGgEFAAEAAABKAAAAGwEFAAEAAABSAAAAKAEDAAEAAAAC
AAAAMQECAA0AAABaAAAAMgECABQAAABoAAAAfAAAACwBAAABAAAALAEAAAEAAABH
SU1QIDIuMTAuMTAAADIwMTk6MDY6MDQgMTQ6MTc6MTkACAAAAQQAAQAAAAABAAAB
AQQAAQAAAAABAAACAQMAAwAAAOIAAAADAQMAAQAAAAYAAAAGAQMAAQAAAAYAAAAV
AQMAAQAAAAMAAAABAgQAAQAAAOgAAAACAgQAAQAAAJYXAAAAAAAACAAIAAgA/9j/
4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8U
HRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwL
DBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIy
MjIyMjIyMjIyMjL/wAARCAEAAQADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAA
AAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEG
E1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RF
RkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKj
pKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP0
9fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgEC
BAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLR
ChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0
dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbH
yMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2iiii
uQ2CjNFFIBaKSlpgFKKTvRQAtFJS5oAUUUA4pKAHUlGaM80ALRSA0tABRxSUtMBK
KKBQAUAUoooAMUmPmFLigfeoEJjminUUDG0mKdRSAZRinYoxQA2kp1GKAG0UUUgC
iiigAooooAKXPFJRTAXNFJRQAuaKSqV/qMVinzfM56LyM9O+Pek3YaVy8xCrknAr
Mn16zhYqrb2HbBH9K527v575v3jfL2GBx/nFQrGB25rJ1Ox0QodWbL+KCThLTPv5
n/1qjHiWbPMH/j4/wrHZGPApoj2nrWbnI09jA6GPxOD/AKy3x/wP/wCtV+DXLOXg
vtPpgn+lchj3oK54oVWSB0IvY79ZFdcqc06uDguJbdv3bY/AVs2mvOvyyjd79P6V
rGqnuYyoSWx0lHFVba+huB8jc+mDVrIrVO5i1bcWjuaKBzmmIWkpaSgA70UtFADc
Yope9FIBuKXFLRQBFRRSZoAWiikzSuAtFJQTRcBaWm5pKLgOzRTc1napqYsk2of3
h6fp7e9JysNJt2QmqastmPLj5kP6dPb3rlXdpXLyHLHqaUsZX3Mck96CBWEpXOyn
T5USIoHNSqKhDYHNDSZrO5vyk2KbtU9aj3ZxzS96TY1EUgE8CgRr6U9cHrT9uDSH
YhMfpSbCOanx60Y4ppk2IY2KtkGtux1goQk3I9fTr6CsZk54pACTirjJoznBS3O5
SRZFDKcg05fu1yunai1o+xuUPUenX2rqYmDxhl6GumErnFODix3eigUtWQFJ3paK
ACiiigBKKWkoAhzRmkPWkJqGwFzSZpuaM0AOzRTc0ZoAdmjNNzRmgCK6uFtYGlfo
uP54rh5rprmZnc8nFbnie4KxRQjo2c/htNcujgHArKbOvDw0uXEYVIzcYFQB8VJu
FYM60h2O9O79ajJBXJpygADAoKH4AxTwRmot2TUq4HvSAk3KFzSh8imMQwwRQuB0
oCxICacDTQMU7rQSLjPNRk81IAccVFg5wapENABk1u6PdlW8hzwen6msIcfhUkMx
jcMOoq4uzMpx5lY7YUpNRW8omhWQdDUtdSd0cLDvRSig0wEopaKBCZozQRRQMrZp
pNBNNJqAFzSZ4pDSCkA7NGaTFA4oAXNGaKT1oA47xJJv1Ep/d/wFZKg5q5qzeZqU
rZ64/kKiRMrkVhLc9ClpFIVTmnjk00AgZqxEuVBPWpaNhAgI5GacEC8DpUoTPWnE
KOTS5QuRKnNTBcdqUYHI5p5zjIp8oXGBCRgijy8VLtJHWnFKloLkWKXkU/Zimj3p
AOANJInGRThQ2apEMhAJXikUY4NSFaTbmqRBv6FKWgaM/wAGMfiTWxmud0Rttyye
v+Broa6abujiqK0haWko6VZAtFFHWgAPSjFFFAimaYTSk00msxiZoFJRQA7OKXPN
JSUwFNIzYUmjNZut3bWemySp94Yx+Y/xqWNK7ORuHDzEsaiSdF4BrmZrvUJyfLi/
HctJBFcg5kXH4ismd8DsUk59qtR9MVzllcOAd3P+TXQ20m7BoNiWSQRISazBdSyO
Tjjt0rTePzOo4qEW6qQQMYosCZl3Wq3FrIeMqPp/hUaeJVJ2twT/AJ9K05bWF+HX
P4mnQ2VsmCsf6mkBXTW1kxj/AD+laVteJIDzUD2FtI2WT9T/AI1ENP8AJOYWwPTH
+JqRGsDnkGlxVSF3j+V+lWwehqWhCZxTj1FRTORyKkDDbTQmNOc0vvTWYb/enody
5qiWXtHUm+B7D/A10Y6Vg6KP3zn0x/I1vdq6KexxVfiHYpKAeKK0Mxc0UlLQAdaB
0oooEZ5PNNJoJphashjs0lMLUA0wJM0uajzS5oAfmqWpwC5snjPt/MVaBpkudhwM
0mNbnl5eOE4Y4p4uoH438/Q1Wu4bp9UMSP5anrwD/DWNq+ptZ3otI280jrxt7A+n
vUqDex2urGK1N2Z/JcHsa3tMYyJkdP8A9dcLpGof2lmIDB7D06+3tXoOnxeXGqL2
/wDr1ElY2i7q6NDbleeKo3MoiBzV6QlQAaoX0YkXPp/9apuOxlT6gsPzMfw/yKId
SkkPyjaPTr/SsuZVk1Dyz19fTiq3iaSDTbZEjTc75y2SMYI7fjVRhzCqVFT3OtS4
lYZKbh9QKljuQScfjXAeHLp3vYYQ+DJu7dMAmuuhaTzcSjLDo3r+FKcHBhTqRqbG
3vWQVKOFxVOA5PFXgBjmpuJ7jMhqVeBgUj5xxSKc0hgU+bNOUdBTHPemoxHJNUSb
uij5pWx6f1raHNZejpi13/3v8TWmD3rphscFTWTH0UgoqyBaM0UgoAWiiigRlE0w
tQTTCazKFzRnFMzRmmFiTdS7qizRmgLE26gtUWaiuZfLgZvTH86THFanBal8twZA
fmPQ49hXJ6jpUF9dmaRuT1XB54A9fauqvl8xvl5H/wCqqKWYBywyayU2tj0FTi1q
hvh7S4LZz5Me3H+0T6+prtrcbVzWTYQiKMDv/wDrrVU4FQ3c1UbKyJpCHNQSoHUq
RSh8dakOGGRUDOavbN1kB6/5FV7jTo9RRVuVyFzjnp+R9q6ORQRgjioNgUgiqUmt
gaT3MvTvD+n2Ugkij+Ye7e/v71uJbqaYJM1YWTnGKUpN7iUbbDooAh46VZ46ZqFD
TweaRLQsnFQZxJUzdKgB+agLCTN820daazYUovJp7FfPQHvn+VOmkXiOM4J74ppg
kXoNYmghVBb4UZ/jH+Fbllex3kW5OCOo9Ov+FcJd2nq3P0q74UneO/MLNkH29mNb
Qk07GdXDx5HJbo7oUUlLXQecLQOlITQOKAHdqBQaTpQIxSaYTQTTSazLFzRmm0Uw
HZozTKM4oAfmsXW7rGIQf979DWvmuQu5zPdO574/lUy2NsPC8iBk70yNAX9hVkDc
ucVSkd4pRgVlY7zYt1xWgIMr0rFjvlyG6VcbUmZfkG4+nT+lJoZZe3OKr7pIM55F
ZUev6gt2Y7jTtkX/AD089T29APWtOS6ilj3A9frUuNio6i+cJPrT0G7rWWZNjhh0
NakL5QGhIGrEgjpwQ9RT1VqlVadhXGIccEU8EHpSMh60wnB5pNCHGo8jdRu3UhqB
WIp5AJB/Oo9NuJBcSQTNuUYxxjsT2qnez7ZOO3WkadPtgdRyev5U0VFXNa+UJIoH
T/8AVT/C9sZL5rj+Ef4MKivj5xRc9c/0rp9IsxZ2gHRm6/mf8a2grsyr1OWlbqzS
FLSZpe1dJ5YtFNpc0AOzRmm5paAMImmGlNNJ7VmUGaM0lGaYC5pM0lJmgQkjYjJr
iUfL12sgypFcIhKykVEjrwvU1osFfSszUnDnA/z0rQjz5eaw712W4weh/wABUHXf
UbbRtIx3nNbdpGqrtNZNqNzACr5JXrQUlc0mi3JgHioUtEVtxHNWlGUBB607b1NJ
oadjPnTe5Q8CpLKTKYPapXINUs+Vc/7Lf4UkJs6BHGzipAcYNUIpAFAq0JcdKomx
IWyMVA59KczA96iJ4qGUIMg0jPgc0oOc1Ru5dqkCoEZt3IZZyg7/AOFXtNt4o7dG
dMuM85PqawPM23AOeD/hXQLJviUJ0NKOrLijb0q3N7e72H7tev4g/wCFdYDWbo9q
9rZhZBhz1H4mtEHvXZBWR5WIqc09Nh4paaDS5qzEXNL2pKKYhaDSUtAzBJppNNLU
0tUFDsikJpmTRmgVx+aSm7s0maBAWA71xV+PJ1GQdF4x+Qrs2yRjpXG6+2NQK+n+
AqZbG+HlaRowYeLNc/rcpXHlx5Ye/wBK19PmHlHnn/8AXWXfN5rED/PSsrnelcxY
NVuRg+XtH+8D/StKHXQfvrhvr/8AWpY7QN04NWEsgDVX0OiHKTRazKeUO724H9Ks
DXZV+/Bn/gY/wqe3sgV4PFXF0+IrkjP5/wCNJsb5DEuNcR1wseG7Dd/9akhvxdYS
QbJfTOa3WtY0XAX9axb2w+YOB0qbmbS6GxbsTGCato3tVK05gB/z1qwWIp3IuSM2
Digk4quzDPJ5pQ2etS2VYe8m0VhatcAKdvX/APVWhdXCohXqa5XUbtnB557fpUEi
2kglmAcfKK9R8O2VvDYxyonznOWyfU15FpMhlvQD90dvXg17Lo/FhGPTP8zWlNan
NiJPlsjVFOFRqafXRc4BadmkBpKaAfmlyKjzS5piY/NGabmkJFAzni1IWqPdRmpA
dmjNRlqbuoAl3UheoWkAqMyUgLDyYFcT4jYGd5c53Y/DgV1ckgKkVwniuV4Y03D1
x/47UyZtSWpSGtC3gbLdO2Pf6Va0+4+0JljnH/164pZxK5LH7tdJpUh+UHjGePzr
No7IyOngXNWQpD1DbYxVpS27HrRc2RctSAME1f3ACs+Jc4HerDMFwM0hjnbnPaqN
1Kgj9qgvr/ygNpz6/pWBc35lyA2CenH/ANapYG/a3OE2qd36VP8AaVKbia5Kz1Ag
gBvmHfH/ANapDqnQyNz9P/rUak3Oga5LPnGPWpHuwsTN0rl21Ak4XkHqf8ioLjU2
ZdmeO5/yKT1G5F2/1HqM9e/5e1c1cXhaT5TwKW4uASMHNUIyXb5e9OMSJSOj8Ojz
NRh7j5s/ka9k0xsWaD6/zNeX+F9NMNz5rHLdx+DD1r0nTn/dsuen/wBeri9TnrK8
TYVqkDVTWTFSB62ONoshqXNQB6cHoET5oyKiD0u7imBJnikzTC3FN3UAc2ZBTDIK
y2vlHeozfD1pFWNcyDvUTTVlG+BqGbUERC7thR3x/wDWoCxqtOKiM/vXKL4y0qW4
EK3OWPT923pn+7Vm91q1sYDNcS7V9dpPfHYe9Npj0N1pSx9K5rxRaG7smKnlcYP1
K1xOtePrmcmOy/dJ/e4bPT1X61g2+t3jOf3nXr8o5/Sn7KVrsFNJmjFlFUK2GPfF
bNlPtkREGAM5P51z6S/u1IPJq9ZyFXAHIHVv/rVnKOh0xZ6JZ3C7eT+FX45VZx3A
rk7e98sg+tbEV4EXGeayOmMjfjcscA8j2qvf32xMZx/kVnPqQjGVOCf8+lYmo6lu
iJzjHb8vakPmE1C/JOc8nr+lZE1wdrc1Tu7tTls/SqEt02wkngVSgzN1DQhuW35U
1YlmB3Ac9OaxBceXz3oW7xEQDwepq+Qj2hsxXTbg3pUU1wTuA6GslLolQegFOe5V
Oepo5A5y1JLujOOvetfQNOe5mUt77R+fvWLpsRupQgOWPT9a9S0LSWs4xvHPp+fv
71M/dQ46mxZWqWqKiLwPf61q2z+XIR61VReQKdOZBCTGfnHSsk9RyV1Y1hNTxKK5
XRPEkOrwbk+WUfeTk45OOcD0rWW7HrW97HJY2BKetOEtZS3Q9aeLoetO4rGoJOae
Jfesv7UMU8XQp3J5TSMg9aQyCs83QphuqGw5Txf/AITmMj/j1/8AIn/2NSJ40t3H
zR7f+BE/+y1wxuHeUopwB1OKikZRXV7KJlzs9DTxbZN1fH4N/hXL+IvEMmpymCD/
AFA6/wC10PcZ6isNCNpbGBVeWQ9BwKcaSTuJzdh5lSLkDLVXmuZJfvHOPaoicmgL
k1pZEXYwkmrVumPmPApkaAv/ADqSR8c0NDTL0EvmnbjCir1tcBGyeh6CsKK5YSrz
8vpUwuATwelc86ep0QqHSLquMAnp3/yKtDViVZh2x+P6VxxuWXOKlhv3VyMdf8+l
Z+yNPao6xtWYRljyF+7/AJxWZNqHmZ54H+fSsNr5sEE5zQWJ4znFCpDda5oGUDgH
5qSaXJIDfpVAS7SR096crBkYCq5SecleQ7Qq0bwi4qNQTnArRs9Gur5sxx5Xucj/
AB9qHZArspo7EBV4xXReH/C82qSl5RhB9OevuPSuh0PwZscSTryPf6+jV3llaJBG
saLwPesZ1OxrGHcztK8N2tgo8tPmHfJ46+/vW/FGIxT1j2/WnBea5m7s2SBRjmnG
jBPFLgIuTSKPIvEvneH/ABZNc277RJt2jAOMRgHrn1q9/wALEdVA+xbmHX97j/2W
sTxtqqajrz+XzHHjB9cqvt7Vy7tgk9q9KFNSguY8+pK0nY9HX4gT7udJx/28D/4m
rEXxAZs7tN2/9t8/+y15za3nyjnj+7UzStvxu4+lV7GJm5yPTovHthj97+6Pp8zf
+y1dfxpYLDujfzD/AHcMO/8Au15IZiG2g4FS+dxS9hEXtWehSeO5sborHd7eaB/7
LSJ48uGznTuf+u4/+Jrz43B4py3JJ5p+xj2F7SRz6y/Ip7t1p23eeeAOtQpyVHpm
pGY4x2Fb2JuEkmRjoKqsSx4qR/am8KM96BDduOtNLZ4WlwXOegpVXe20cAUCHp8k
f1qF2zUshzwOlQEZNAwX1p6HvQF4pEPFAAzlSPSl3Y6UOM0wcdelKyC5PF5LyfvW
2D+9gnFbtn4ckvIw8E29T/s4/mfaudxUtvczWknmQvtb1wD/ADqJQvsXGaW51Efh
C9DYK4/Ff/iq29O8DKvzXUm8f3duPX0asGx8c3tuoWdPO98qvr6LXTWPxBsGH+kD
y/8Avo+votc841F0OqLpvqbNp4YsoEIWHGf9o/41uW1gkRChcKO+f/r1j2vjLRbj
hbr/AMhv/wDE1s2+sWMoyk2f+At/hXPLn6m8eXoaUUQXtVkcDIFVYruA/wAf6Gpv
ttqg+aT/AMdNZtM0TRZTkVIFzWFe+L9E01SZ7vafTy3Pp6L71ymq/FWGP5NPt/N/
295X07FPrVRpTlsiJVILdnpEkiQqWc4HrivN/GHj6MI1lprZY43SY6fdI4ZfrXCa
v4r1PWSy3M+Yz/BsX27gD0rEL11U8LZ3kc9TEX0iT+Zk03cX+UVDu7DrUyAAZI5r
qOW424byyNvQ1cDCeDeO3X86zrt8kVatAPKI9aAHLIUb5zkVODuHy81UkdqdGkzD
cFz+IoE0Wy+OD1pnm7TkUm6cf6xOnbIprRRy9tvqOtBLRnx8An16U4mikOAMmrAY
TgZNMALfM3Sn4zy1IQSMnikAxmLHaKmwI48DvUcY9O9K53GgCM8nNGKXGKWgAx8t
RDg1NxUJGDQA8jIpvsaetIwwaGA3aQeKXPrS0uPWgBuKKXb6HFGCPegBKeM00E+l
KDzSY0PBNO3YHvUeaXNCQ7jyeaCcU0mmM3FArj9+TTgM81DGeeTVpDlaAIwSvNSq
+R6GgYFIxHWkOxXuj0q7ZEtHgdf/ANdULhs4zUlpceUeaBJlhiVfim3G7AYGrW6O
Rt4HNV7pxt+lA2Ohutw2uMipdxHKN+lZ8bVZAwODQK5//9n/4gKwSUNDX1BST0ZJ
TEUAAQEAAAKgbGNtcwQwAABtbnRyUkdCIFhZWiAH4wAGAAQADAAQAC9hY3NwQVBQ
TAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA9tYAAQAAAADTLWxjbXMAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA1kZXNjAAAB
IAAAAEBjcHJ0AAABYAAAADZ3dHB0AAABmAAAABRjaGFkAAABrAAAACxyWFlaAAAB
2AAAABRiWFlaAAAB7AAAABRnWFlaAAACAAAAABRyVFJDAAACFAAAACBnVFJDAAAC
FAAAACBiVFJDAAACFAAAACBjaHJtAAACNAAAACRkbW5kAAACWAAAACRkbWRkAAAC
fAAAACRtbHVjAAAAAAAAAAEAAAAMZW5VUwAAACQAAAAcAEcASQBNAFAAIABiAHUA
aQBsAHQALQBpAG4AIABzAFIARwBCbWx1YwAAAAAAAAABAAAADGVuVVMAAAAaAAAA
HABQAHUAYgBsAGkAYwAgAEQAbwBtAGEAaQBuAABYWVogAAAAAAAA9tYAAQAAAADT
LXNmMzIAAAAAAAEMQgAABd7///MlAAAHkwAA/ZD///uh///9ogAAA9wAAMBuWFla
IAAAAAAAAG+gAAA49QAAA5BYWVogAAAAAAAAJJ8AAA+EAAC2xFhZWiAAAAAAAABi
lwAAt4cAABjZcGFyYQAAAAAAAwAAAAJmZgAA8qcAAA1ZAAAT0AAACltjaHJtAAAA
AAADAAAAAKPXAABUfAAATM0AAJmaAAAmZwAAD1xtbHVjAAAAAAAAAAEAAAAMZW5V
UwAAAAgAAAAcAEcASQBNAFBtbHVjAAAAAAAAAAEAAAAMZW5VUwAAAAgAAAAcAHMA
UgBHAEL/2wBDAA0JCgsKCA0LCgsODg0PEyAVExISEyccHhcgLikxMC4pLSwzOko+
MzZGNywtQFdBRkxOUlNSMj5aYVpQYEpRUk//2wBDAQ4ODhMREyYVFSZPNS01T09P
T09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT0//
wgARCACAAIADAREAAhEBAxEB/8QAGgAAAgMBAQAAAAAAAAAAAAAAAAECAwQFBv/E
ABcBAQEBAQAAAAAAAAAAAAAAAAABAgP/2gAMAwEAAhADEAAAAfQc9AAAwAKIAsFI
QAAAAjNnVU1Iu1m+5dAQAIAAiYcdIzTCUslZt1znqMQREIAMM3VnoEhwwslc7983
QgteSAZzM9SamMkEOyNm3fO2wAqyAInGz10NTKyclows1a53agCU5qGI4c6WzWsx
lhqgCzZvnZYDTPmoAONOuqaujOWFwhJPU3b5A0y5oBS1jz1uFKFtORFS36zv1xKI
ywCMzpRNxXREC+wlhFB1N8brkQXLCAzNZ89abrSsZm9GueSdx1t82CC5IQjK1zc7
3tXrVFSRMSdW56euchgc4iVLgrJNdTO5LzWa6C87mU9YmkqZ5PeYVksC3G7JUQoO
jm9jGrJfP9uTubSJzNSJEAAnLvxvp51qzYVy945m8BJHVREAEAABIAHCqUpZ/8QA
JBAAAgEDAwUBAQEAAAAAAAAAAQIAAxESBCAhEBMwMTIiFED/2gAIAQEAAQUC/wAp
NoaszeCo0FUHxk2DNltBIitl4arfrcpsfA3L70+dxNh3OVN4byzX/Q2U/ncfRbGU
jlG9FiAlTIDqnzvcZGmMRCkUAbEqHPdUPBgImQMB2X5UXqbqsb5WWnog9DF90xZd
1b5f4AaAPCGEHSo3Gl5O68rn8I9yIIz2gqcdyO95peBfZlM53VlTUoYpitGqWDPM
plKKZsOIHBGUymU77x6zMt+gaCpDUvLwXMo6e8VQvRqpSoNRUg1Lz+h96kSn2Inb
gtGrU0lbV5CD35x9QGf/xAAdEQABBAMBAQAAAAAAAAAAAAABAAIRMBASICFA/9oA
CAEDAQE/AfmDVqFqtbAOSERFLR2aRQaBQaJyTCBng0RQ5vnbRS4wO2UuPvbcBecu
oFDqJ4lSp7lTkFStlOIyVKlT2ChGZCLvl//EAB4RAAIBBQEBAQAAAAAAAAAAAAER
ABASIDBAIQJR/9oACAECAQE/AeZxxy7iB0noHANCqBCFgND0A8A4BvHQsFFFDkoq
kRRRUJqB5LRLZbmoXPaIwfH7y//EACUQAAAEBQQCAwAAAAAAAAAAAAABESAQITAx
QAIiMkEDElFx0f/aAAgBAQAGPwLG2i8J5aYB11Fo8qylaBn0QXAkwiOlJ308qC0r
i4uxcfkQ9bvXqCky4R8gusShq9Dko5Docn7iH6Np6YT1kE8ci+cX/8QAIxABAAIC
AgICAgMAAAAAAAAAAQARITEQQSBRMGGBkUCx0f/aAAgBAQABPyH+KAtcRnT8vEHu
mahUESz4gsdRnnXRxcqVHcQh9/Dd6SHByyiYZPgyH3CVAlcdcOz53C6mWC4wThxO
lhC7NMG/hLmSGVFTA1LkHoloYVEZTudzAeF8XLxMYlkMQJuAr6eoPQA+oYjPeYHR
OPOmvuYZleFtSJ7KljA57/TM91l5vMuoxLlHqOzgWKiMWtzabcvhcvjQ+mKxXcLN
Cc02+qiwS5VSVRHjcvhlxTvU0johYQYqXEcLn7hFy5cTEe5YKIG8y1Ih7laQ6gLT
L1hjUzNxiWkx46hpLHkpPpP4lkND6imB3KovuJwhMLYqNPqCUK4Ka2pQv+pPb/SZ
dv0cOeHkLtPqWuX8R/iGKmyFbnoyxUJTtuXcWZB6lvXi+VwzNRVDpzME/9oADAMB
AAIAAwAAABBJbJIJELZJJBoTSbJAC7nUKCaJKin6XAjbJJYISADJZJBxHgHZH+sK
mSHf8m9gOiHt3/cMyoLvgBqyHL79XMdi8D5bRuJ/7pL9ImdKFeDCBCiW7UQKZCY+
ZZxbLbaEnnH/xAAeEQADAAIDAQEBAAAAAAAAAAAAAREQICEwMUFRQP/aAAgBAwEB
PxD+WU/TA1Y2ROpKkSEJhD6hxUS1YlXT5xSlw8LzutzGe90SvROrCgnwPPraCEs5
EphqiU8GsJCeS3s8oeiRwv7v9lIUb0RbVcPGIgYaXzR3Oj2Ji0bGzkiaQmElExMo
8xcjVWIQhQxRZLwKsX6y0bhRZe1IejOKfDgaj4rLJ13Wn//EAB0RAAMAAgMBAQAA
AAAAAAAAAAABERAgITAxUUD/2gAIAQIBAT8Q/LR/JQnQq9E+mjY3dU4U6W2QnBdD
xCEwhHjuWPPQmY1ClBgufG7KQ3hODd6xkINEITCEr3ezwvRIt3llw8Lz0MZdUhPn
eMv0aysjgJ8nhSlJEq1KxcHxG8IaXBBG0H8CF/RGJ3iJc9yb/wD/xAAmEAEAAgEE
AgIBBQEAAAAAAAABABEhMUFRYRBxIIGRMKHB0eGx/9oACAEBAAE/EP06lSpUr5IT
A3YlQBBR1/gJqoez+pVCP8kvQJ18a+Fx89CW1UfoggSjtC2ZWWNvrZl7MDU+Ny5c
uOIeX3FjWGsWcS29qh4OL9+ogE0fgsuX4b2SFWob4AT1lVKIqN0sfBZfgNOBWKye
3VEhEdPcIYBG/UcEuOwx6hDh3IOU4hlqGvdX4LL8CGLEpmOLWTVh32X/AGWFuI4w
LTnKxDBM023FS/Cw0Q+2X8GL8GqXYhoW286XDYHQVGi9woadZTrlAqVGCa4l2oZq
AGuJdY+Cy5cqy5dfUBRGIRW3AsEFIv3l0OpLdpkwxb0jUhrUORlbXN+W3i5cWXFj
HFn+JWFayuJfcUCxgX1aYCZl0t2CoI0GUTbfJfl8FzH0CURUiVFJOyOwp9YjFTng
lTdTWwXDmMcKGFIPi5cYYaSpHQzApWcBCViRvtTAi3+okV5lFvVjlNLfAHwY5ZCi
0Ju7CBRCicpOD6mDdRQFMawoyVLEsEse49VCIXUgBRRoCFzyhIHmA5jzSjNQ5JKB
tRSlmAMHBKstoNG8jBtKIdQrMhJT1TQC4eSHTnCpybBAx1GfogKTXNXKAJ6/ygBF
NrizRdf4QbMxqyzo3j2NoYSKjM7N5VMrFx9IfxMRcOiA0Z7i7Ebn7BMeVHUHXEEq
v3OkJFvBYp24cTQjDAu7KmyJi5XEqEGMc0O0GxcMINkbRHLNbz//2YkBTgQTAQgA
OAIbIwULCQgHAgYVCgkICwIEFgIDAQIeAQIXgBYhBEuq3e877QmDljmdCMZNaG/J
fUstBQJfcbS0AAoJEMZNaG/JfUstZBYH/2tMchlpicv9dbwHoFoCgTqbbYn2k9MU
OUCeSRGc5YA2/otMCmHaoLzHxwTkTyphjDbEdnCPlQK/+yWc6sE1N6XCVGSq9eay
oIg66IgCRJ0Lm5zNfsM6T+CWfe/lF6bGLcXspb6yERF0H8KQ+af4+Nopc/pLZJlh
Mu/dOsSs+RhZOpoghIxrztoe8l09qNixJ8Sbqn/KEPthpuBRrEZ4CeWhvVvzWYXM
/zoauDm47gt0RyHNjJR4LFIWoCbnXmSemD2ELj+VKauI7Zj32b/s2iaQdWuoto8v
c6RGRCGkQe6NZ1LnqPy79tfiwDFcgnMxEXr5JVkkD9NhaSyNDSB3tQS5AQ0EUe5P
4AEIAMuNP9s0gbDL8TG7VlOPkLvGRnOQeZodlpCW3n+J0Ao2fWosULgvoLNaT/+H
MLCUksYgD7Bcy0jbwsOMVmL2tpRre7cDKOwZXS+uKoGtyTRPxxuo1ceBcAl3B6q9
2jYz+EIJQQrZOEtvof4BCJhJGVHZJ+3ac1bPbbsEcO1NhHgGkDCsIrsvcqwcoWfk
KS2w1PUODGWgOf8pPZbUqP6RYQ+BFRuNFRUEo7jJVl9iYv5cZ7g2cEATJu4ZsYet
HkyV3Gx8KtKm9OQsKipYF0ZpHQZrdCkLucK7AVLQ2gxkR0yfmyJlBPtiygvo54s9
gv83jn1DS2obHT4dSrWSyJkpODMAEQEAAYkBNgQYAQgAIAIbDBYhBEuq3e877QmD
ljmdCMZNaG/JfUstBQJfcbXSAAoJEMZNaG/JfUstf3kIAIW556ad5tD6jANUZwnJ
lsYMxKugx5yvRfVAdCW6gxvL48kOL0PQv7XnAg/EbV1PbPQ9Kg9QhZFXHVOZxfmj
J6ORpYCFoA6ihdrDgz/2vtfVQSOP4VaJAJY7FN93ul6HBRnPpi7HIUh5nNydjX8P
Uzy1X3tyE07wggp5YWKtQLrTol3eKanRXjtRbur26JHuxsX63LS1B1mPDtjvzKpE
l/h/qTxSCROw5PN4p/h8dSf2y23x8mtw6OAVcFTeQGGIPTEqyQZ6n9IrBUcZeYBT
7WIOF+6FYZUKcC/mwwkNRca91Zo9tuJrUILBGkpViPv60MrYrEnJO2fACdrxO6td
EK0=
=djTA
-----END PGP PUBLIC KEY BLOCK-----
......@@ -11,6 +11,7 @@ Each file needs some specific parameters:
* **title** Name of the person, doubles as the page title
* **fullname** Full name of the person, to be used in references
* **pic** Relative link to a picture of the person
* **picwidth** If provided, overrides the default picture width of `300`
* **role** one of *master-student*, *bachelor-student*, *phd-student*, *postdoc*, *faculty* or *guest*
* **start_date** (optional) a start date (YYYY-MM)
......
......@@ -7,7 +7,7 @@ permalink: /people/
{% assign people = site.pages | where: "layout", "person" | where_exp: "person",
"person.end_date == null" | sort: "start_date" %}
<p>This page lists the current members of the KWARC group (<a href="former.html">former
<p>This page lists the current members of the KWARC group (<a href="/people/former/">former
members</a>).</p>
{% include people_list.html %}
{% include people_list.html people=people %}
......@@ -7,8 +7,8 @@ permalink: /people/former/
{% assign people = site.pages | where: "layout", "person" | where_exp: "person",
"person.end_date != null" | sort: "start_date" %}
<p>This page lists the former members of the KWARC group (<a href="current.html">current
<p>This page lists the former members of the KWARC group (<a href="/people/">current
members</a>). We are very proud of our alumni; if you are one, please keep in touch. </p>
{% include people_list.html %}
{% include people_list.html people=people %}
......@@ -5,6 +5,8 @@ title: Mihnea Iancu
fullname: Dr. Mihnea Iancu
pic: public/images/miancu.png
public: auto
role: phd-student
start_date: 2012-04
end_date: 2017-01
......@@ -13,5 +15,6 @@ end_date: 2017-01
### Description
working on various projects within the KWARC group in the direction of iMMT and OMDoc2.
### Thesis Title
Towards Flexiformal Mathematics
### Thesis
[Towards Flexiformal Mathematics](https://opus.jacobs-university.de/frontdoor/index/index/docId/721)
December 2014.