From frosini@unisi.it Thu Apr 6 07:42:15 2006 Return-Path: Received: from CUCES1.UNISI.IT (cuces1.unisi.it [193.205.4.2]) by graceland.math.uwaterloo.ca (8.11.7/8.11.7) with ESMTP id k36BgCL26379 for ; Thu, 6 Apr 2006 07:42:12 -0400 (EDT) Received: from conversion_l.unisi.it by mailsrv.unisi.it (PMDF V6.2-1 #31112) id <01M0XL8HIF1S8Y56WY@mailsrv.unisi.it> for shallit@graceland.math.uwaterloo.ca; Thu, 06 Apr 2006 09:29:59 +0200 (MET-DST) Received: from Mistero (pippo.capitano.unisi.it [172.16.13.74]) by mailsrv.unisi.it (PMDF V6.2-1 #31112) with SMTP id <01M0XL8F4VX08Y56GZ@mailsrv.unisi.it> for shallit@graceland.math.uwaterloo.ca; Thu, 06 Apr 2006 09:29:04 +0200 (MET-DST) Date: Thu, 06 Apr 2006 09:30:02 +0200 From: Andrea Subject: Re: Submission to the Journal of Integer Sequences To: Jeffrey Shallit Message-id: <049f01c6594b$eb1a5ab0$4a0d10ac@Mistero> MIME-version: 1.0 X-MIMEOLE: Produced By Microsoft MimeOLE V6.00.2900.2180 X-Mailer: Microsoft Outlook Express 6.00.2900.2180 Content-type: multipart/mixed; boundary="Boundary_(ID_CpbDIwjU034JquXF85welw)" X-Priority: 3 X-MSMail-priority: Normal References: <200604041853.k34Iqxs26203@graceland.math.uwaterloo.ca> X-Greylist: Delayed for 04:02:08 by milter-greylist-2.0 (graceland.math.uwaterloo.ca [129.97.75.152]); Thu, 06 Apr 2006 07:42:15 -0400 (EDT) Status: RO X-Status: X-Keywords: X-UID: 2093 This is a multi-part message in MIME format. --Boundary_(ID_CpbDIwjU034JquXF85welw) Content-type: text/plain; format=flowed; charset="iso-8859-1"; reply-type=original Content-transfer-encoding: 7bit Dear Prof. Shallit, we have made some changes to the paper according to referee suggestions (mainly we have added a short abstract), and according to the latex style guidelines found in the web page of the Journal. If any problems will eventually occur, please do not hesitate to contact me. Best regards a. %%%%%%%%%%%%%%%%%%%%%%%% Dr. A. Frosini Universita degli Studi di Siena Dipartimento di Scienze Matematiche ed Informatiche Pian dei Mantellini, 44 53100 Siena, Italy Phone: +39 577 233705 Fax: +39 577 233730 e-mail: frosini@unisi.it %%%%%%%%%%%%%%%%%%%%%%%% ----- Original Message ----- From: "Jeffrey Shallit" To: Cc: Sent: Tuesday, April 04, 2006 8:53 PM Subject: Re: Submission to the Journal of Integer Sequences > Dear Prof. Frosini: > > I have now received the referee's report on your paper, > "On the sequence A079500 and its combinatorial > interpretations" > and it is attached below. > > As you can see the referee likes your paper and believes it > should be accepted, but has one minor suggestion. > > Please revise your paper in accordance with the referee's > suggestion and send me a new version. > > Please BE SURE your paper conforms to the Journal's latex > style guidelines, available on the Journal's home page. > Non-conforming papers CANNOT be published. > > Thank you for considering the Journal of Integer Sequences. > > Jeffrey Shallit > Editor-in-Chief > Journal of Integer Sequences > > ----- > > Referee's report on the paper - > > A Frosini and S Rinaldi, On the sequence A079500 and its combinatorial > interpretations. > > The authors show that the sequence A079500 of Sloane enumerates four > distinct > classes of combinatorial objects. They exhibit explicit nontrivial > bijections > between the different classes. They also show that the generating function > for the sequence is not D-finite. > > The results are well presented and interesting and definitely deserving of > publication in the Journal of Integer Sequences. > > My only comment is that an abstract should be added to the paper. > > --Boundary_(ID_CpbDIwjU034JquXF85welw) Content-type: application/octet-stream; name=pse_jis.tex Content-transfer-encoding: QUOTED-PRINTABLE Content-disposition: attachment; filename=pse_jis.tex =0D=0A\documentclass[10pt]{article}=0D=0A=0D=0A\usepackage[dvips]{eps= fig}=0D=0A\usepackage{latexsym}=0D=0A\usepackage{psfig}=0D=0A\usepack= age{amssymb}=0D=0A\usepackage{algorithm}=0D=0A\usepackage{algorithmic= }=0D=0A\usepackage{amsfonts}=0D=0A\usepackage{amsmath}=0D=0A\usepacka= ge{indentfirst}=0D=0A=0D=0A\newtheorem{definition}{Definition}[sectio= n]=0D=0A\newtheorem{proposition}{Proposition}[section]=0D=0A\newtheor= em{example}{Example}[section]=0D=0A\newtheorem{theorem}{Theorem}[sect= ion]=0D=0A\setlength{\parindent}{20pt}=0D=0A\newcommand{\qed}{\hfill\= square\medskip}=0D=0A=0D=0A\sloppy=0D=0A=0D=0A\begin{document}=0D= =0A=0D=0A\date{}=0D=0A\newtheorem{definizione}{Definition}=0D=0A\newt= heorem{osservazione}{Osservazioni}=0D=0A\newtheorem{proprieta}{Propri= et\`a}=0D=0A\newtheorem{teorema}{Theorem}=0D=0A\newtheorem{proposizio= ne}{Proposition}=0D=0A\newtheorem{esempio}{Example}=0D=0A\newtheorem{= lemma}{Lemma}=0D=0A\newcommand{\proof}{\noindent{\bf Proof.\ }}=0D= =0A\newtheorem{remark}{Remark}=0D=0A\newtheorem{nota}{Note}=0D=0A\new= theorem{corollario}{Corollary}=0D=0A=0D=0A\author{A. Frosini $^*$= =0D=0A\and S. Rinaldi \thanks{Universit\`a di Siena, Dipartimento di= Scienze Matematiche e Informatiche, Pian dei=0D=0AMantellini, 44, 53= 100, Siena, Italy, {\tt [frosini, rinaldi]@unisi.it}.}}=0D=0A=0D=0A\t= itle{On the sequence A079500 and its combinatorial~interpretations}= =0D=0A=0D=0A\maketitle=0D=0A=0D=0A\begin{abstract}=0D=0AIn this paper= we present some combinatorial structures enumerated by the sequence = A079500 in the Sloane=0D=0AEncyclopedia of Integer Sequences, and det= ermine simple bijections among these structures. Then we investigate= =0D=0Athe nature of the generating function of the sequence, and prov= e that is not differentiably finite.=0D=0A\end{abstract}=0D=0A=0D= =0A\section{The sequence A079500}=0D=0A=0D=0AThe purpose of the paper= is to collect and exploit several=0D=0Acombinatorial properties of t= he sequence:=0D=0A=0D=0A$$1,1,2,3,5,8,14,24,43, 77, 140, 256, 472,874= ,1628,3045,5719, 10780,20388, \ldots $$=0D=0A=0D=0AThe sequence, whic= h we will refer to as $(f_n)_{n\geq 0}$=0D=0A(sequence A079500 in \ci= te{sloane}), is defined by the generating=0D=0Afunction:=0D=0A=0D= =0A\begin{equation} f(x) =3D \sum _{n\geq 0} f_n \, x^n=3D (1-x) \sum= _{i\geq 0} \frac{x^i}{1-2x+x^{i+1}}.=0D=0A\end{equation}=0D=0A=0D= =0A\noindent In \cite{K} R. Kemp proved that $f_n$ is the number of {= \em balanced ordered trees} having $n+1$ nodes.=0D=0AThen in \cite{KR= } A. Knopfmacher and N. Robbins proved that $f_n$ is the number of {\= em compositions} of the=0D=0Ainteger $n$ for which {\em the largest s= ummand occurs in the first position}, and that, as $n \to \infty$= =0D=0A=0D=0A$$ f_n \sim \frac{2^{n}}{n{\mbox{log}2}}(1+\delta(\mbox{l= og}_2n)), $$=0D=0A=0D=0A\noindent where $\delta(x)$ is a continuous = periodic function of period $1$, mean zero, and small amplitude of= =0D=0Awhich the authors determined the Fourier expansion; in the same= paper they proved the nice property that the=0D=0Acoefficient $f_n$ = is odd if and only if $n=3Dm^2-1$, or $n=3Dm^2$, with $m\geq 1$.=0D= =0A=0D=0A\medskip=0D=0A=0D=0A=0D=0AIn 2001 Marc Le Brun defined the `= `numbral arithmetic" for binary sequences by replacing addition with= binary=0D=0Abitwise inclusive-OR, and multiplication by shift-$\&$-O= R (to the authors' knowledge the only references on=0D=0Anumbral arit= hmetic can be found on the Sloane database \cite{sloane}. For the bas= ic definitions, see sequence=0D=0AA048888; for further properties see= also sequences A57892, A67139, A67150, A67399, A67398). He conjectur= ed that=0D=0A$\left ( f_n \right )_{n\geq 1}$ counts the number of di= visors of the binary expansion of $2^n-1$. The conjecture=0D=0Awas co= nfirmed by Richard Schroeppel in the same year.=0D=0A=0D=0ALater, the= sequence $\left ( f_n \right )_{n\geq 1}$ comes to our attention in = the context of the enumeration of=0D=0A{\em exact polyominoes}, i.e.,= polyominoes that tile the plane by translation \cite{Gi}. In particu= lar, in=0D=0A\cite{BFRV} it is proved that $f_n$ is the number of {\e= m pseudo-square parallelogram polyominoes with flat=0D=0Abottom} havi= ng semi-perimeter equal to $n+1$.=0D=0A=0D=0A\medskip=0D=0A=0D=0AOur = aim in this paper is to give combinatorial evidence of these facts by= showing bijections between the four=0D=0Aclasses enumerated by the s= equence A079500.=0D=0A=0D=0AIn the last section we study the sequence= by an analytical point of view, and investigate the nature of its= =0D=0Agenerating function $f(x)$, proving that it is not {\em differe= ntiably finite} (or {\em D-finite}) \cite{stan}.=0D=0A=0D=0AThe gener= ating functions of the most common solved models in=0D=0Amathematical= physics are differentiably finite, and such functions=0D=0Ahave a ra= ther simple behavior (for instance, the coefficients can=0D=0Abe comp= uted quickly in a simple way, they have a nice asymptotic=0D=0Aexpans= ion, they can be handled using computer algebra). On the=0D=0Acontrar= y, models leading to non D-finite functions are usually=0D=0Aconsider= ed ``unsolvable" (see \cite{Guttmann,R}).=0D=0A=0D=0ARecently many au= thors have applied different techniques to prove=0D=0Athe non D-finit= eness of models arising from physics or statistics=0D=0A\cite{BMP,BMR= ,R}. Guttmann~\cite{Guttmann} developed a numerical=0D=0Amethod for t= esting the ``solvability" of lattice models based on=0D=0Athe study o= f the singularities of their {\em anisotropic=0D=0Agenerating functio= ns}. In many cases the tests allow to state that=0D=0Athe examined mo= del has not a D-finite generating function=0D=0A\cite{R}.=0D=0A=0D= =0A=0D=0A=0D=0A\subsection{Four classes enumerated by A079500}=0D= =0A=0D=0AIn this section we define the four classes of combinatorial= =0D=0Aobjects that we are going to consider in the paper, and then we= =0D=0Aprove, using bijective arguments, that they are enumerated by t= he=0D=0Asequence A079500.=0D=0A=0D=0A\subsubsection{Pseudo-square par= allelogram polyominoes}=0D=0A=0D=0AIn the plane $\Bbb Z \times \Bbb = Z$ a {\em cell} is a unit=0D=0Asquare, and a {\em polyomino} is a fin= ite connected union of cells=0D=0Ahaving no cut point. Polyominoes ar= e defined up to translations. A=0D=0A{\em column} ({\em row}) of a po= lyomino is the intersection=0D=0Abetween the polyomino and an infinit= e strip of cells whose centers=0D=0Alie on a vertical (horizontal) li= ne. In a polyomino the {\em=0D=0Aperimeter} is the length of its boun= dary and the {\em area} is the=0D=0Anumber of its cells. For the main= definitions and results=0D=0Aconcerning polyominoes we refer to \cit= e{stan}.=0D=0A=0D=0AA particular subclass of the class of convex poly= ominoes consists=0D=0Aof the {\em parallelogram} polyominoes, define= d by two lattice=0D=0Apaths that use north (vertical) and east (hori= zontal) unitary=0D=0Asteps, and intersect only at their origin and ex= tremity. These=0D=0Apaths are commonly called the {\em upper} and the= {\em lower=0D=0Apath}. Without loss of generality we assume that the= upper and=0D=0Alower path of the polyomino start in $(0,0)$. Figure = \ref{par1}=0D=0Adepicts a parallelogram polyomino having area 14 and= =0D=0Asemi-perimeter 10. Note that for parallelogram polyominoes the= =0D=0Asemi-perimeter is equal to the sum of the numbers of its rows a= nd=0D=0Acolumns.=0D=0A=0D=0A\begin{figure}[htb]=0D=0A\begin{center}= =0D=0A\epsfig{figure=3Dpar1.eps} \caption{A parallelogram polyomino, = its=0D=0Aupper and lower paths.} \label{par1}=0D=0A\end{center}=0D= =0A\end{figure}=0D=0A=0D=0AThe boundary of a parallelogram polyomino = is conveniently=0D=0Arepresented by a {\em boundary word} defined on = the alphabet $\{=0D=0A0,1 \}$, where $0$ and $1$ stand for the horizo= ntal and vertical=0D=0Astep, respectively. The coding follows the bou= ndary of the=0D=0Apolyomino starting from $(0,0)$ in a clockwise orie= ntation. For=0D=0Ainstance, the polyomino in Figure~\ref{par1} is rep= resented by the=0D=0Aword $11011010001011100010.$=0D=0A=0D=0AIf $X= =3Du_1\ldots u_k$ is a binary word, we indicate by $\overline{X}$ the= mirror image of $X$, i.e., the word=0D=0A$u_k\ldots u_1$, and the l= ength of $X$ is $|X|=3Dk.$ Moreover $\left | Y \right | _0$, (resp. $= \left | Y \right |=0D=0A_1$) indicates the number of occurrences of = $0$s (resp. $1$s) in $Y$.\\=0D=0A=0D=0ABeauquier and Nivat \cite{Gi} = introduced the class of {\em pseudo-square} polyominoes, and proved t= hat each=0D=0Apolyomino of this class may be used to tile the plane b= y translation. Indeed, let $A$ and $B$ be two discrete=0D=0Apoints on= the boundary of a polyomino $P$. Then $[A,B]$ and $\overline{[A,B]}= $ denote respectively the paths=0D=0Afrom A to B on the boundary of = $P$ traversed in a clockwise and counterclockwise way. The point $A'= $ is the=0D=0Aopposite of $A$ on the boundary of $P$ and satisfies $|= [A,A']|=3D|[A',A]|$. A polyomino $P$ is said to be {\em=0D=0Apseudo-s= quare} if there are four points A,B,A',B' on its boundary such that $= B \in [A,A']$,=0D=0A$[A,B]=3D\overline{[B',A']}$, and $[B,A']=3D\over= line{[A,B']}$ (see Figure \ref{contile}).=0D=0A=0D=0A\begin{figure}[h= ]=0D=0A\begin{center}=0D=0A\epsfig{figure=3Dcontile.eps} \caption{A p= seudo-square polyomino,=0D=0Aits decomposition and a tiling of the p= lane determined by the=0D=0Apolyomino.\label{contile}}=0D=0A\end{cent= er}=0D=0A\end{figure}=0D=0A=0D=0AHere we consider the class ${\mathca= l {PSP}}$ of parallelogram=0D=0Apolyominoes which are also pseudo-squ= ares (briefly, {\em=0D=0Apsp}-polyominoes) \cite{BFRV}.=0D=0A=0D=0A\b= egin{proposition}\label{prop}=0D=0AIf $X\, Y\, \overline{X}\, \overli= ne{Y}$ is a decomposition of the=0D=0Aboundary word of a $psp$-polyom= ino then:=0D=0A=0D=0A\item[i)] $XY$ encodes its upper path, and $YX$ = its lower path; \item[ii)] $X=3D1X'1$, $Y=3D0Y'0$, for some $X',Y'\in= =0D=0A\{0,1\}$; \item[iii)] the decomposition $X\, Y\, \overline{X}\,= \overline{Y}$ is unique.=0D=0A\end{proposition}=0D=0A=0D=0A\begin{fi= gure}[htb]=0D=0A\begin{center}=0D=0A\epsfig{figure=3Dqpex.eps} \capti= on{A {\em psp}-polyomino, and its=0D=0Aunique decomposition.\label{pq= ex}}=0D=0A\end{center}=0D=0A\end{figure}=0D=0A=0D=0A\noindent For ins= tance, the polyomino in Figure~\ref{pqex} can be=0D=0Adecomposed as $= 111101\cdot 0100 \cdot 101111 \cdot 0010$, where=0D=0A$X=3D111101$, $= Y=3D0100$.=0D=0A=0D=0AWe call {\em psp}-polyominoes with {\em flat bo= ttom} those {\em=0D=0Apsp}-polyominoes such that the word $Y$ (called= the {\em bottom})=0D=0Ais made only of $0$'s (see Figure~\ref{planar= basis}). We denote by=0D=0A${\mathcal {PSP}}^{-}$ the class of such p= olyominoes, and by=0D=0A${\mathcal {PSP}}^{-}_{n,k}$ those having bot= tom of length $k\geq=0D=0A1$, and semiperimeter $n+1$. The enumeratio= n problem for the class=0D=0A${\mathcal {PSP}}^{-}$ is solved in \cit= e{BFRV}, and here we=0D=0Arecall the useful characterization which le= ads to such a result:=0D=0A=0D=0A\begin{proposition}\label{propx}= =0D=0AThe word $U \, =3D \, 1 \, X' \, 1 \, 0^k$, with $k\geq 1$, and= =0D=0A$|U|=3Dn+1$, represents the upper path of a polyomino in ${\mat= hcal=0D=0A{PSP}}^{-}_{n,k}$ if and only if $X'$ does not contain any = factor=0D=0A$0^j$, with $j\geq k$.=0D=0A\end{proposition}=0D=0A=0D= =0A\begin{example}\label{ex1}=0D=0A{\em The word $1100100011101001100= 01$ represents the upper path of a polyomino in ${\mathcal {PSP}}^{-}= _{24,4}$,=0D=0Aas shown in Figure~\ref{planarbasis} (a), while the wo= rd $101100000101$ does not encode a polyomino in ${\mathcal=0D=0A{PSP= }}^{-}_{15,4}$ since it contains the factor $00000$ (as shown in Figu= re~\ref{planarbasis} (b)).=0D=0A=0D=0A\begin{figure}[htb]=0D=0A\begin= {center}=0D=0A\epsfig{figure=3Dplanarbasis.eps,width=3D3.5in,clip= =3D}\caption{Examples=0D=0Aof a polyomino in ${\mathcal {PSP}}^{-}_{2= 4,4}$=0D=0A (a), and a polygon which is not a polyomino, (b)\label{pl= anarbasis}}=0D=0A\end{center}=0D=0A\end{figure}=0D=0A}=0D=0A\end{exam= ple}=0D=0A=0D=0A\subsubsection{Balanced ordered trees}=0D=0A=0D=0AFor= the basic definitions of the ordered trees we refer to=0D=0A\cite{st= an}. An ordered tree is said to be {\em balanced} if all=0D=0Aits lea= ves are at the same level. Let ${\cal B}_n$ be the class of=0D=0A{\em= balanced ordered trees} having $n+1$ nodes. In \cite{K} R.=0D=0AKemp= proves that $\left | {\cal B}_n \right | =3D f_n$,~$n\geq 0$.=0D= =0A=0D=0A\begin{figure}[htb]=0D=0A\begin{center}=0D=0A\epsfig{figure= =3Dtre_ps.eps,width=3D4.5in,clip=3D} \caption{The eight=0D=0Abalanced= ordered trees having $6$ nodes. \label{tre_ps}}=0D=0A\end{center}= =0D=0A\end{figure}=0D=0A=0D=0A\subsubsection{Compositions with the la= rgest part in the first position}=0D=0A=0D=0AFor any $n \geq 1$, $k \= geq 1$ let ${\cal C}_{n,k}$ be the set of compositions of $n$ having = the largest part $k$=0D=0Ain the first position, i.e.,=0D=0A=0D=0A$$ = k+a_1+\ldots + a_h=3Dn, $$=0D=0A=0D=0A\noindent with $k\geq a_1, \ldo= ts ,a_h \geq 1$, and $h\geq 0$. For=0D=0Ainstance:=0D=0A=0D=0A$$ {\ca= l C}_{5,2} \; =3D \; \bigl\{ \; 2+1+1+1, \; 2+2+1, \; 2+1+2 \; \bigr\= } .$$=0D=0A=0D=0AMoreover let ${\cal C}_n=3D \bigcup _{k=3D1}^{n} {\c= al C}_{n,k}$ be=0D=0Athe set of compositions of $n$ having the larges= t part in the=0D=0Afirst position. For instance:=0D=0A=0D=0A{\small= =0D=0A=0D=0A$$ {\cal C}_5 =3D \bigl\{ \, 1+1+1+1+1, 2+1+1+1, 2+2+1, 2= +1+2, 3+2, 3+1+1, 4+1, 5 \, \bigl\}.$$=0D=0A=0D=0A}=0D=0A=0D=0A\noind= ent By convention we set $\left | {\cal C}_0 \right |=3D\left=0D=0A| = {\cal C}_1 \right |=3D1$. In \cite{KR} A. Knopfmacher and N.=0D=0ARob= bins prove that for any $n\geq 0$, $\left | {\cal C}_n \right |=0D= =0A=3D f_n$.=0D=0A=0D=0A\subsubsection{Divisors of $2^n-1$ in numbral= arithmetic}=0D=0A=0D=0ALet $n$ be an integer number, and let $[n]$ b= e its binary representation. The {\em numbral arithmetic} relies on= =0D=0Athe replacing of the standard addition for binary sequences wit= h binary bitwise inclusive-OR. As a consequence,=0D=0Athe multiplicat= ion uses the shift-$\&$-OR instead of the standard shift-$\&$-add. As= an example, it holds=0D=0A$$=0D=0A\begin{array}{lll}=0D=0A&[3] + [9]= &=3D 1\,1 + 1\,0\,0\,1 =3D 1\,0\,1\,1 =3D [11] \\ \\=0D=0A&[3] \,* \= ,[9] &=3D 1\,1=0D=0A* 1\,0\,0\,1 =3D 1\,1*1 + 1\,1\,0*0+ 1\,1\,0\,0*0= +1\,1\,0\,0\,0*1=3D \\ \\=0D=0A& &=3D1\,1+0\,0\,0+0\,0\,0\,0 +1\,1\,0= \,0\,0=3D 1\,1\,0\,1\,1=3D[27].=0D=0A\end{array}=0D=0A$$=0D=0A=0D= =0AClearly, the defined addition and multiplication are still=0D=0Aco= mmutative.=0D=0A=0D=0AWe say that $[d]$ {\em divides} $[n]$ if there = exists $[e]$ such that $[d] * [e] =3D [n]$. One can apply the given= =0D=0Adefinitions to compute the six divisors of $[14]$, i.e., $[1]$,= $[2]$, $[3]$, $[6]$, $[7]$, and $[14]$, in order=0D=0Ato immediately= relying that the element $[e]$ whose product with $[d]$ is $[n]$ is,= in general, not unique.=0D=0A=0D=0ALet us define $\mathcal{D}_{n}$ t= o be the set of the divisors of $[2^n-1]$ (i.e., the binary sequence = $1^n$), and=0D=0A$\mathcal{D}_{n,k}$ the divisors of $[2^n-1]$ having= length $k$. We will show that, for each $n>0$, the=0D=0Acardinality = of the set $\mathcal{D}_{n}$ is $f_{n}$, by bijectively prove that= =0D=0A$|\mathcal{D}_{n,k}|=3D|\mathcal{PSP}^-_{n,n-k+1}|$. In the fol= lowing table the divisors of $[2^n-1]$, for=0D=0A$n=3D1,\dots,4$, are= computed.=0D=0A=0D=0A\bigskip=0D=0A=0D=0A\hspace{-1cm}\begin{tabular= }{c|cccc}=0D=0A{\em n} & $[2^n-1]$ &divisors of $[2^n-1]$&$[\frac{4^n= -1}{3}]$ & divisors of $[\frac{4^n-1}{3}]$ \\=0D=0A\\=0D=0A \hline= =0D=0A\\=0D=0A 1 &1 &\{1\} & 1 & \{1\} \\=0D=0A\\=0D=0A \hline= =0D=0A\\=0D=0A 2 &1\, 1 &$\left\{\,1 \,,\, 1\,1 \right\}$&1\, 0\, 1 = &$\left\{\,1 \,,\, 1\,0\,1 \right\}$ \\=0D=0A\\=0D=0A \hline=0D= =0A\\=0D=0A 3 & 1\, 1\, 1 &\{\, 1 \,,\, 1\,1 \,,\, 1\,1\,1 \} & 1\,0= \, 1\,0\, 1 & \{\, 1 \,,\,=0D=0A 1\,0\,1 \,,\, 1\, 0\, 1\,0\,1 \} \\= =0D=0A\\=0D=0A \hline=0D=0A\\=0D=0A 4 & 1\, 1\, 1\, 1 &$\left\{\b= egin{array}{c}=0D=0A 1 \,,\, 1\,1 \,,\, 1\,1\,1\\=0D=0A 1\,0\, 1 \,= ,\, 1\,1\,1\,1=0D=0A \end{array} \right\}$ & 1\,0\, 1\,0\, 1\, 0\,1 = & $\left\{\begin{array}{c}=0D=0A 1 \,,\, 1\,0\, 1 \,,\, 1\,0\, 1\, 0= \, 1\\=0D=0A 1\,0\, 0\,0\, 1 \,,\, 1\, 0 \,1\, 0 \, 0\, 1\,0\, 1= =0D=0A \end{array} \right\}$\\=0D=0A\end{tabular}=0D=0A=0D=0A\bigski= p=0D=0A=0D=0AFor the same values of $n$, there are also shown the num= bers=0D=0A$[\frac{4^n-1}{3}]$ (sequence A002450 in \cite{sloane}) and= their=0D=0Acorrespondent divisors. This sequence has two interesting= =0D=0Acombinatorial interpretations: for $n>0$, it counts both the= =0D=0Adegree $(n-1)$ numbral power of $5$, and the partial sums of th= e=0D=0Afirst $(n-1)$ powers of $4$, and it is also strictly connected= =0D=0Awith the sequence A079500, as stated in the following:=0D=0A= =0D=0A\begin{proposition}=0D=0AThe binary sequence $x_1\,x_2\,\dots \= , x_k$ is a divisor of=0D=0A$[2^n-1]$ if and only if the binary seque= nce $x_1\,0\,x_2\, 0 \,=0D=0A\dots \, 0\, x_k$ is a divisor of $[\fra= c{4^n-1}{3}]$.=0D=0A\end{proposition}=0D=0A=0D=0A=0D=0A\subsection{Bi= jective results}=0D=0A=0D=0AAt the very beginning we easily prove tha= t the number of $psp$-polyominoes having semiperimeter $n+1$ and flat= =0D=0Abottom, say ${\mathcal {PSP}}^{-}_{n}$, is $f_n$. By Propositio= n~\ref{propx} it follows that, for any fixed=0D=0A$k\geq 1$, the gene= rating function of the $psp$-polyominoes having flat bottom of length= $k$ is=0D=0A\begin{equation} f_k(x)=3D\frac{x^{k}}{\ 1-x-x^2-x^3-\ld= ots=0D=0A-x^{k}},\label{ricorda}=0D=0A\end{equation}=0D=0Ahence the g= enerating function of ${\mathcal {PSP}}^-$ is given by the sum=0D= =0A\begin{equation} 1 \, + \, \frac{1}{x^2} \sum _{k\geq 1} f_k(x)= =3D (1-x)=0D=0A\sum_{i\geq 0} \frac{x^i}{1-2x+x^{i+1}}, \label{sw}= =0D=0A\end{equation}=0D=0A=0D=0A\noindent i.e., the generating functi= on of A079500.=0D=0A=0D=0A\begin{figure}[htb]=0D=0A\begin{center}= =0D=0A\epsfig{figure=3Dps.eps,width=3D5in,clip=3D} \caption{The eight= {\em=0D=0Apsp}-polyominoes with flat bottom having semi-perimeter eq= ual to=0D=0A$6$. \label{ps}}=0D=0A\end{center}=0D=0A\end{figure}=0D= =0A=0D=0A\subsubsection{A bijection between ${\cal B}_n$ and ${\mathc= al {PSP}}^-_{n}$}=0D=0A=0D=0AWe prove bijectively that $\left | {\cal= B}_n \right |=3D \left | {\mathcal {PSP}}^-_{n} \right |$. We do thi= s by=0D=0Aestablishing a bijection=0D=0A=0D=0A$$ \Theta : {\cal B}_{n= ,k} \rightarrowtail {\mathcal {PSP}}^{-}_{n,k}.$$=0D=0A=0D=0Awhere $= {\cal B}_{n,k}$ denotes the set of trees in ${\cal B}_n$ having heigh= t equal to $k$, thus proving that=0D=0Athis class is counted by $f_k(= x)$, i.e., the generating function in~(\ref{ricorda}), for any $k\geq= 1$.=0D=0A=0D=0ALet us start by observing that, for any $k \geq 1$, e= ach polyomino=0D=0Ain ${\mathcal {PSP}}^{-}_{n,k}$ has all the rows o= f length $k$.=0D=0ALet $T \in {\cal B}_{n,k}$, and let $e_1, \ldots ,= e_h$, $h \geq 1$=0D=0Abe the leaves of $T$, from left to right, and f= or any $i=3D1, \ldots=0D=0A,h-1$ let $n_i$ be the level of node in $T= $ which is father of the=0D=0Aleaves $e_i$ and $e_{i+1}$, and has min= imal level (clearly, $0=0D=0A\leq n_i \leq k-1$). Now $\Theta (T)$ is= defined as a polyomino=0D=0Awith $h$ rows, each one with exactly $k$= cells, and such that for=0D=0Aany $i=3D1, \ldots ,h-1$ the $i+1$ row= is placed just above the=0D=0A$i$th row, and moved on the right by $= k-n_i-1$ cells (see=0D=0AFigure~\ref{trebal}).=0D=0A=0D=0A\medskip= =0D=0A=0D=0A\begin{figure}[htb]=0D=0A\begin{center}=0D=0A\epsfig{figu= re=3Dtrebal.eps,width=3D4.5in,clip=3D} \caption{The=0D=0Abijection be= tween trees in ${\cal B}_{n,k}$, (a), and polyominoes=0D=0Ain ${\math= cal {PSP}}^{-}_{n,k}$,~(b). \label{trebal}}=0D=0A\end{center}=0D=0A\e= nd{figure}=0D=0A=0D=0A\medskip=0D=0A=0D=0AThe reader can easily check= that $\Theta (T)\in{\mathcal=0D=0A{PSP}}^{-}_{n,k}$, and that $\Thet= a$ is a bijective function;=0D=0Amoreover from the definition of $\Th= eta$ it follows that the=0D=0Anumber of rows of $\Theta (T)$ is equa= l to the number of leaves of=0D=0A$T$ (see Figure~\ref{balan}).=0D= =0A=0D=0A\medskip=0D=0A=0D=0A\begin{figure}[htb]=0D=0A\begin{center}= =0D=0A\epsfig{figure=3Dbalan.eps,width=3D3in,clip=3D} \caption{A bala= nced tree=0D=0Aof height $3$ and the corresponding polyomino with bot= tom of=0D=0Alength $3$. \label{balan}}=0D=0A\end{center}=0D=0A\end{fi= gure}=0D=0A=0D=0A\subsubsection{A bijection between ${\mathcal {PSP}}= _{n}^-$ and ${\cal C}_n$}=0D=0A=0D=0AIn this paragraph we will descri= be a bijection between ${\mathcal {PSP}}^{-}_{n,k}$ and ${\cal C}_{n,= k}$, for any=0D=0A$k\geq 1$=0D=0A=0D=0A$$ \Delta : {\mathcal {PSP}}^{= -}_{n,k} \rightarrowtail {\cal C}_{n,k} .$$=0D=0A=0D=0ALet us consid= er a polyomino $P$ in ${\mathcal {PSP}}^{-}_{n,k}$, and let the word = encoding its upper path be=0D=0A=0D=0A$$ 1 \; 0^{e_1} \; 1 \; 0^{e_2}= \; \ldots \; 1 \; 0^{e_h} \; 1 \; 0^k, $$=0D=0A=0D=0A\noindent with = $ e_1 + \ldots + e_h + (h+1) +k =3Dn+1$ and, by Proposition~\ref{prop= x}, $e_i < k$, for $i=3D1, \ldots=0D=0A,h$. Let us define=0D=0A=0D= =0A$$ \Delta (P)=3D k + ({e_1}+1) + \ldots + ({e_h}+1). $$=0D=0A=0D= =0AClearly $\Delta (P)$ is a composition of $k + {e_1} + \ldots += =0D=0A{e_h} +h=3Dn$ having $k$ as leading summand, thus $ \Delta (P) = \in=0D=0A{\cal C}_{n,k}$. Moreover, if the polyomino $P$ has $h$ rows= ,=0D=0A$h\geq 1$, then the corresponding composition $\Delta (P)$ has= $h$=0D=0Aparts.=0D=0A=0D=0AFor instance, the polyomino in Figure~\re= f{balan} (with semi-perimeter $13$, bottom of length $3$, and $6$ row= s)=0D=0Ais represented by the word $1010110011000$, i.e., $10^110^110= ^010^210^010^3, $ and is mapped through $\Delta$ in=0D=0Athe composit= ion $3+2+2+1+3+1$ of $12$, with greatest summand $3$ and having $6$ p= arts. It is easy to check that=0D=0A$\Delta$ is a bijection.=0D=0A= =0D=0A\bigskip=0D=0A=0D=0AThe table below shows the correspondences b= etween several=0D=0Aparameters in polyominoes of ${\mathcal {PSP}}^-$= , balanced=0D=0Aordered trees, and compositions with the largest summ= and in the=0D=0Afirst position.=0D=0A=0D=0A\bigskip=0D=0A=0D=0A=0D= =0A=0D=0A\hspace{-.9cm}=0D=0A\begin{tabular}{c|c|c|c}=0D=0A&&\\=0D= =0A ${\mathcal {PSP}}^-$ &semi-perimeter + 1 &length of the bottom &= number of rows \\=0D=0A &&\\=0D=0A \hline=0D=0A&&\\=0D=0A ${\cal B= }$ &number of nodes +1 &height of the tree &number of leaves \\=0D= =0A&&\\=0D=0A \hline=0D=0A&&\\=0D=0A ${\cal C}$ &sum of the terms &= leading summand &number of summands \\=0D=0A &&\\=0D=0A\end{tabular}= =0D=0A=0D=0A\bigskip=0D=0A=0D=0A=0D=0A\subsubsection{A bijection betw= een ${\cal D}_{n}$ and ${\mathcal {PSP}}_{n}^-$ }=0D=0A=0D=0AWe achie= ve $|{\cal D}_{n}|=3D|{\mathcal {PSP}}_{n}^-|$ by defining a bijectio= n $\Omega$ between ${\cal D}_{n,k}$=0D=0Aand ${\mathcal {PSP}}_{n,n-k= +1}^-$. The following characterization of the elements of ${\cal D}_{= n}$ is needed.=0D=0A=0D=0A\begin{lemma}\label{lem1}=0D=0AFor each $n,= d > 0$, it holds that $[d]$ is a divisor of $[2^n-1]$=0D=0Aif and onl= y if it ends with the digit $1$, and it does not contain=0D=0Aany sub= sequence of 0s having length greater than $n-k$, with $k$=0D=0Abeing = the length of $[d]$.=0D=0A\end{lemma}=0D=0A=0D=0A\begin{proof}=0D= =0A($\Rightarrow$) Let $[d]=3Dd_1\,d_2 \, \dots \, d_k$,=0D=0A$[e]= =3De_1\,e_2\, \dots \, e_{n-k+1}$, and $[d]\,*\,=0D=0A[e]=3D[2^n-1]= =3D1^n$ (where the power notation stands for repetition).=0D=0ABy def= inition, it holds that=0D=0A$$=0D=0A\begin{array}{l}=0D=0A[d]\,*\, [e= ] =3D d_1 \, \dots \, d_{k-1}\, 0 \, *\, e_{n-k+1} \,+\,=0D=0A\dots \= , + \, d_1 \, \dots \, d_{k-1}\, 0 \, 0^{n-k}\,*\, e_{1} =3D=0D=0Ap_1= \, \dots \, p_{n}.=0D=0A\end{array}=0D=0A$$=0D=0AWe proceed by contr= adiction and we assume that $d_k=3D0$ or that=0D=0Athere exists in $[= d]$ a sequence of 0s having length $n-k+1$.=0D=0A=0D=0AIn the first c= ase, it turns out that the digit $p_{n}$ has value 0 since it is the = sum (i.e., the inclusive-OR)=0D=0Aof $n-k+1$ digits of value 0, and t= his is not possible.=0D=0A=0D=0AIn the second case, we assume that $[= d]=3D1\, d_2 \, \dots \,=0D=0Ad_{k-1}\, 1$ contains the sequence of 0= s $d_h\,\dots \,=0D=0Ad_{h+n-k}$. By definition, the digit $p_{n-h}$ = of the product=0D=0A$[d]\,*\, [e]$ has value $0$, since it is the sum= of $n-k+1$ bits=0D=0Ahaving value 0. Again this is not possible by t= he hypothesis=0D=0A$[d]\, * \, [e]=3D1^n$.=0D=0A=0D=0A($\Leftarrow$) = Let us consider the binary sequence=0D=0A$[e]=3D1^{n-k+1}$. Since $[d= ]=3D1\, d_2 \, \dots \, d_{k-1} \, 1$ does=0D=0Anot contain any seque= nce of 0s having length greater than $n-k$,=0D=0Athen each digit $p_1= \, \dots \, p_{n}$ of the product=0D=0A$[d]\,*\,[e]$ is the sum of $n= -k+1$ digits at least one of them=0D=0Ahaving value $1$, so it has va= lue $1$. The thesis $[d]\, * \,=0D=0A[e]=3D1^n$ is achieved. $\qed$= =0D=0A\end{proof}=0D=0A=0D=0AWe define the bijection $$\Omega: {\cal = D}_{n,k}\rightarrowtail=0D=0A{\mathcal {PSP}}_{n,n-k+1}^-$$ as follow= s: to each divisor $[d]=3D1=0D=0A\, d_2 \, \dots \, d_{k-1} \, 1$ of = $[2^n-1]$ we associate a=0D=0A$psp$-polyomino whose upper path is rep= resented by $1 \, d_2 \,=0D=0A\dots \, d_{k-1} \, 1 \, 0^{n-k+1}$.= =0D=0A=0D=0ABy Lemma~\ref{lem1}, each divisor of $[2^n-1]$ has no sub= sequences=0D=0Aof 0s of length greater than $n-k$, so, by=0D=0APropos= ition~\ref{propx}, it encodes an upper path of a=0D=0A$psp$-polyomino= having the bottom of length greater than $n-k+1$.=0D=0AThe minimal p= ossible semi-perimeter for such polyominoes is $n+1$,=0D=0Aas desired= . On the contrary, the word coding the upper path of a=0D=0Apolyomino= in ${\mathcal {PSP}}_{n,n-k+1}^-$ belongs to ${\cal=0D=0AD}_{n,k}$, = since it is a binary sequence of the type $w_1\,=0D=0A0^{n-k+1}$, wit= h $w_1$ starting and ending with the digit 1, and=0D=0Acontaining no = sequences of 0s of length greater than $n-k$.=0D=0A=0D=0AFigure~\ref{= corr} shows the correspondence between the eight=0D=0Adivisors of $[2= ^5-1]$ and the eight $psp$-polyominoes in=0D=0A${\mathcal {PSP}}_{5}^= -$.=0D=0A=0D=0A\medskip=0D=0A=0D=0A\begin{figure}[htb]=0D=0A\begin{ce= nter}=0D=0A\epsfig{figure=3Dps3.eps,width=3D5in,clip=3D} \caption{Eac= h upper path of an element in ${\mathcal {PSP}}_{5}^-$ is=0D=0Aassoci= ated with the correspondent divisor of $[2^n-1]$ in ${\mathcal {D}}_{= 5}$. \label{corr}}=0D=0A\end{center}=0D=0A\end{figure}=0D=0A=0D=0A= =0D=0A%The table below shows the correspondences between several=0D= =0A%parameters in polyominoes of ${\mathcal {PSP}}^-$, balanced=0D= =0A%ordered trees, compositions with the largest summand in the first= =0D=0A%position, and divisors of the sequences $1^n$.=0D=0A%=0D=0A%\b= igskip=0D=0A%=0D=0A%=0D=0A%=0D=0A%\hspace{-.9cm}=0D=0A%\begin{tabular= }{c|c|c|c}=0D=0A% ${\mathcal {PSP}}^-$ &semi-perimeter + 1 &length o= f the bottom &number of rows \\=0D=0A% \hline=0D=0A% ${\cal B}$ &nu= mber of nodes +1 &height of the tree &number of leaves \\=0D=0A% \h= line=0D=0A% ${\cal C}$ &sum of the terms &leading summand &number of= summands \\=0D=0A% \hline=0D=0A% ${\cal D}$ &power of 2 -1 &length= of a divisor -1&number of 1s in a divisor \\=0D=0A%\end{tabular}= =0D=0A=0D=0A=0D=0A=0D=0A\subsection{Nature of the generating function= }=0D=0A=0D=0AFinally, for the sake of completeness, we would like to = spend a few words on investigating the nature of the=0D=0Agenerating = function $f(x)$ of the sequence A079500.=0D=0A=0D=0ALet us start by r= ecalling that a formal power series $u(x)$ with coefficients in $\mat= hbb C$ is said to be {\em=0D=0Adifferentiably finite} (briefly, {\em = D-finite}) if it satisfies a (non-trivial) polynomial equation=0D= =0A=0D=0A$$ q_m(x) u^{(m)}+q_{m-1}(x) u^{(m-1)}+ \ldots +q_1(x) u' +q= _0(x)u =3D q(x), $$=0D=0A=0D=0A\noindent with $q_0(x), \ldots ,q_m(x)= \in {\mathbb C} [x]$, and $q_m(x) \neq 0$ (\cite{stan}, Ch. 6).=0D= =0A=0D=0AEvery algebraic series is D-finite, while the converse does = not hold. For example, the generating function $u(x)$=0D=0Aof the seq= uence ${2n \choose n}^2$ is D-finite, since it satisfies the linear d= ifferential equation=0D=0A=0D=0A$$ 4u(x)+(32x-1)u'(x)+x(16x-1)u''(x)= =3D0, $$=0D=0A=0D=0A\noindent while $u(x)$ is not algebraic, as prove= d for the first=0D=0Atime in \cite{F}.=0D=0A=0D=0A\medskip=0D=0A=0D= =0AOur aim in this section is to prove that the generating function= =0D=0Aof the sequence A079500,=0D=0A=0D=0A$$ f(x) =3D (1-x) \sum _{i\= geq 0} \frac{x^i}{1-2x+x^{i+1}} $$=0D=0A=0D=0A\noindent is not differ= entiably finite.=0D=0A=0D=0A\medskip=0D=0A=0D=0AIn order to do this w= e can use the very simple argument, arising=0D=0Afrom the classical t= heory of linear differential equation, that a=0D=0AD-finite power ser= ies of a single variable has only a finite=0D=0Anumber of singulariti= es. Thus we can reach our goal by proving=0D=0Athat $f(x)$ has infini= tely many poles. For instance, the function=0D=0A$1 / \cos (x)$ is no= t D-finite, since it has an infinite number of=0D=0Asingularities.= =0D=0A=0D=0A\medskip=0D=0A=0D=0AWe point out that this ``criterion" w= as applied by Flajolet in \cite{F} to prove that the language=0D=0A= =0D=0A$$ \left \{ \, a^n b v_1 a^n v_2 \, : \, n\geq 1, v_1, v_2 \in = \{ a,b \}^* \, \right \} $$=0D=0A=0D=0A\noindent is a context-free in= herently ambiguous language.=0D=0A=0D=0A\medskip=0D=0A=0D=0AWe reach = our goal by adapting Flajolet's proof to our case. For each $i\geq 1$= , let $P_i=3D1-2x+x^{i+1}$. For=0D=0A$|x|<1$, it is easy to check tha= t each $P_i$ has a real zero $\rho _i$ such that $\frac{1}{2} < \rho_= i < 1$. By=0D=0Athe Principle of the Argument and by the related Rouc= h\'e's Theorem we are able to state that for a sufficiently=0D=0Asmal= l $x$, say $|x|<\frac{3}{4}$, $\rho_i$ is the unique zero of $P_i$. T= hus we have:=0D=0A=0D=0A\begin{enumerate}=0D=0A\item if $i>j$ then $\= rho_i < \rho_j$; \item $\lim _{i\to \infty} \rho_i =3D \frac{1}{2}$.= =0D=0A\end{enumerate}=0D=0A=0D=0AHence, for any $x\neq \rho_i, \frac{= 1}{2}$, and $|x|<\frac{3}{4}$ the series $\sum _{i \geq 0} \frac{1}{P= _i}$ is=0D=0Aconvergent. As a conclusion, $f(x)$ is analytic in $|x|<= \frac{3}{4}$ except for finitely many poles $\rho_i$=0D=0Awhich accum= ulate in $\frac{1}{2}$, thus it is not D-finite.=0D=0A=0D=0AIt is int= eresting to observe that, while parallelogram polyominoes are one of = easiest (and most frequently=0D=0Atreated in literature) classes of p= olyominoes, and have an algebraic generating function according to th= e=0D=0Asemi-perimeter, {\em psp}-polyominoes with a flat bottom (whic= h are a rather simple type of parallelogram=0D=0Apolyominoes) are not= {\em D-solvable}.=0D=0A=0D=0A\medskip=0D=0A=0D=0A\paragraph{On the n= ature of a class of languages.} The result=0D=0Ain the present sectio= n suggests some further considerations=0D=0Aregarding the class ${\ca= l PSP^-}$ of {\em psp}-polyominoes with=0D=0Aflat bottom.=0D=0A=0D= =0ABy Proposition~\ref{propx} we have that the class of the polyomino= es having bottom of length $k\geq 1$ can be=0D=0Asuitably encoded by = means of the regular language $\ell _k$ defined by the unambiguous re= gular expression=0D=0A=0D=0A$$ 1 \, \bigl( \, 1 \cup 01 \cup 001 \cup= \ldots \cup 0^{k-1}1 \, \bigr)^* \, 0^k, $$=0D=0A=0D=0Aand that cons= equently the class ${\cal PSP^-}$ can be encoded by=0D=0Ameans of the= language $\ell =3D \bigcup_{k\geq 1} \ell _k$.=0D=0A=0D=0AA classica= l result by Chomsky and Sch\"uetzenberger~\cite{CS} states that the g= enerating function of an=0D=0Aunambiguous context-free language is al= gebraic. But, as we have proved in the present section, the generatin= g=0D=0Afunction of $\ell$ (i.e., $x^2 f(x)$) is not algebraic (actual= ly, not even $D$-finite), thus $\ell$ is an=0D=0A{inherently ambiguou= s} language.=0D=0A=0D=0A\begin{thebibliography}{13}=0D=0A=0D=0A\bibit= em[BN]{Gi}=0D=0AD. Beauquier, M. Nivat, On Translating one Polyomino = to Tile the Plane, {\it Discrete Comput. Geom. } {\bf 6}=0D=0A(1991) = 575--592.=0D=0A=0D=0A\bibitem[BMP]{BMP}=0D=0AM. Bousquet-M\'elou, Mar= ko Petkovsek, \newblock{\rm Walks confined in a quadrant are not alwa= ys D-finite},=0D=0A\newblock{\it Theoret. Comput. Sci.} {\bf 307} (20= 03) 257-276.=0D=0A=0D=0A\bibitem[BMR]{BMR}=0D=0AM. Bousquet-M\'elou, = A. Rechnitzer, \newblock{\rm The site-perimeter of bargraphs}, \newbl= ock{\it Advances in=0D=0AApplied Mathematics}, {\bf 31} (2003) 86-112= .=0D=0A=0D=0A\bibitem[BFRV]{BFRV}=0D=0AS. Brlek, A. Frosini, S. Rinal= di, L. Vuillon, \newblock{\rm Tilings by translation: enumeration by = a rational=0D=0Alanguage approach,} {\it Electronic Journal of Combin= atorics} {\bf 13} (1) (2006) R15.=0D=0A=0D=0A\bibitem[CS]{CS}=0D=0AN.= Chomsky, M. P. Sch\"utzenberger,=0D=0A\newblock The algebraic theory= of context-free languages,=0D=0A\newblock In {\em P. Braffort and D= . Hirschberg (Eds.), Computer Programming and=0D=0AFormal Systems}, (= 1963) 118-161 North-Holland, Amsterdam.=0D=0A=0D=0A\bibitem[K]{K}= =0D=0AR. Kemp, \newblock{\rm Balanced ordered trees,} \newblock{\it R= andom Structures and Alg.} {\bf 5} (1994) pp.=0D=0A99-121.=0D=0A=0D= =0A\bibitem[KR]{KR}=0D=0AA. Knopfmacher, N. Robbins, \newblock{\rm Co= mpositions with parts constrained by the leading summand,} {\it Ars= =0D=0ACombinatorica}, {\bf 76} (2005), 287=96295.=0D=0A=0D=0A\bibitem= [F]{F}=0D=0AP. Flajolet, \newblock{\rm Analytic models and ambiguity = of context-free languages}, \newblock{\it Theoret.=0D=0AComput. Sci.}= {\bf 49} (1987) 283--309.=0D=0A=0D=0A\bibitem[G]{Guttmann}=0D=0AA. J= . Guttmann, {\rm Indicators of solvability for lattice models}, {\it = Discrete Mathematics} {\bf 217} (2000)=0D=0A167--189.=0D=0A=0D=0A\bib= item[R]{R}=0D=0AA. Rechnitzer, \newblock{\rm Haruspicy and anisotropi= c generating functions}, \newblock{\it Advances in Applied=0D=0AMathe= matics}, {\bf 30} (2003) 228-257.=0D=0A=0D=0A\bibitem[Sl]{sloane}= =0D=0AN.~J.~A.~Sloane, The On-Line Encyclopedia of Integer Sequences,= published electronically at {\small $\langle$=0D=0Ahttp://www.resear= ch.att.com/$\sim$njas/sequences/$\rangle$}.=0D=0A=0D=0A\bibitem[S]{st= an}=0D=0AR. P. Stanley,=0D=0A\newblock {\it Enumerative Combinatorics= , } \newblock {\rm Vol.2, Cambridge University Press,} Cambridge (199= 9).=0D=0A=0D=0A\end{thebibliography}=0D=0A=0D=0A=0D=0A\end{document}= =0D=0A= --Boundary_(ID_CpbDIwjU034JquXF85welw) Content-type: application/postscript; name=tre_ps.eps Content-transfer-encoding: QUOTED-PRINTABLE Content-disposition: attachment; filename=tre_ps.eps %!PS-Adobe-2.0 EPSF-2.0=0A%%Title: tre_ps.eps=0A%%Creator: fig2dev Ve= rsion 3.2 Patchlevel 3d=0A%%CreationDate: Wed Jun 1 17:01:51 2005= =0A%%For: rinaldi@homelinux (Rinaldi Simone)=0A%%BoundingBox: 0 0 371= 111=0A%%Magnification: 0.5000=0A%%EndComments=0A/$F2psDict 200 dict = def=0A$F2psDict begin=0A$F2psDict /mtrx matrix put=0A/col-1 {0 setgra= y} bind def=0A/col0 {0.000 0.000 0.000 srgb} bind def=0A/col1 {0.000 = 0.000 1.000 srgb} bind def=0A/col2 {0.000 1.000 0.000 srgb} bind def= =0A/col3 {0.000 1.000 1.000 srgb} bind def=0A/col4 {1.000 0.000 0.000= srgb} bind def=0A/col5 {1.000 0.000 1.000 srgb} bind def=0A/col6 {1.= 000 1.000 0.000 srgb} bind def=0A/col7 {1.000 1.000 1.000 srgb} bind = def=0A/col8 {0.000 0.000 0.560 srgb} bind def=0A/col9 {0.000 0.000 0.= 690 srgb} bind def=0A/col10 {0.000 0.000 0.820 srgb} bind def=0A/col1= 1 {0.530 0.810 1.000 srgb} bind def=0A/col12 {0.000 0.560 0.000 srgb}= bind def=0A/col13 {0.000 0.690 0.000 srgb} bind def=0A/col14 {0.000 = 0.820 0.000 srgb} bind def=0A/col15 {0.000 0.560 0.560 srgb} bind def= =0A/col16 {0.000 0.690 0.690 srgb} bind def=0A/col17 {0.000 0.820 0.8= 20 srgb} bind def=0A/col18 {0.560 0.000 0.000 srgb} bind def=0A/col19= {0.690 0.000 0.000 srgb} bind def=0A/col20 {0.820 0.000 0.000 srgb} = bind def=0A/col21 {0.560 0.000 0.560 srgb} bind def=0A/col22 {0.690 0= .000 0.690 srgb} bind def=0A/col23 {0.820 0.000 0.820 srgb} bind def= =0A/col24 {0.500 0.190 0.000 srgb} bind def=0A/col25 {0.630 0.250 0.0= 00 srgb} bind def=0A/col26 {0.750 0.380 0.000 srgb} bind def=0A/col27= {1.000 0.500 0.500 srgb} bind def=0A/col28 {1.000 0.630 0.630 srgb} = bind def=0A/col29 {1.000 0.750 0.750 srgb} bind def=0A/col30 {1.000 0= .880 0.880 srgb} bind def=0A/col31 {1.000 0.840 0.000 srgb} bind def= =0A=0Aend=0Asave=0Anewpath 0 111 moveto 0 0 lineto 371 0 lineto 371 1= 11 lineto closepath clip newpath=0A9.0 146.7 translate=0A1 -1 scale= =0A=0A/cp {closepath} bind def=0A/ef {eofill} bind def=0A/gr {grestor= e} bind def=0A/gs {gsave} bind def=0A/sa {save} bind def=0A/rs {resto= re} bind def=0A/l {lineto} bind def=0A/m {moveto} bind def=0A/rm {rmo= veto} bind def=0A/n {newpath} bind def=0A/s {stroke} bind def=0A/sh {= show} bind def=0A/slc {setlinecap} bind def=0A/slj {setlinejoin} bind= def=0A/slw {setlinewidth} bind def=0A/srgb {setrgbcolor} bind def= =0A/rot {rotate} bind def=0A/sc {scale} bind def=0A/sd {setdash} bind= def=0A/ff {findfont} bind def=0A/sf {setfont} bind def=0A/scf {scale= font} bind def=0A/sw {stringwidth} bind def=0A/tr {translate} bind de= f=0A/tnt {dup dup currentrgbcolor=0A 4 -2 roll dup 1 exch sub 3 -1 r= oll mul add=0A 4 -2 roll dup 1 exch sub 3 -1 roll mul add=0A 4 -2 r= oll dup 1 exch sub 3 -1 roll mul add srgb}=0A bind def=0A/shd {dup d= up currentrgbcolor 4 -2 roll mul 4 -2 roll mul=0A 4 -2 roll mul srgb= } bind def=0A /DrawEllipse {=0A=09/endangle exch def=0A=09/startangle= exch def=0A=09/yrad exch def=0A=09/xrad exch def=0A=09/y exch def= =0A=09/x exch def=0A=09/savematrix mtrx currentmatrix def=0A=09x y tr= xrad yrad sc 0 0 1 startangle endangle arc=0A=09closepath=0A=09savem= atrix setmatrix=0A=09} def=0A=0A/$F2psBegin {$F2psDict begin /$F2psEn= teredState save def} def=0A/$F2psEnd {$F2psEnteredState restore end} = def=0A=0A$F2psBegin=0A10 setmiterlimit=0A 0.03000 0.03000 sc=0A%=0A% = Fig objects follow=0A%=0A7.500 slw=0A% Ellipse=0An 3600 3000 40 40 0 = 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse= =0An 3900 3000 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0= s gr=0A=0A% Ellipse=0An 4500 3000 40 40 0 360 DrawEllipse gs -0.00 s= etgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 4800 3000 40 40 0 360 Dr= awEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 4200= 2400 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr= =0A=0A% Ellipse=0An 4200 1800 40 40 0 360 DrawEllipse gs -0.00 setgra= y ef gr gs col0 s gr=0A=0A% Polyline=0An 4200 1800 m=0A 4200 2400 l g= s col0 s gr =0A% Polyline=0An 4200 2400 m=0A 3600 3000 l gs col0 s gr= =0A% Polyline=0An 4200 2400 m=0A 4800 3000 l gs col0 s gr =0A% Polyl= ine=0An 4200 2400 m=0A 3900 3000 l gs col0 s gr =0A% Polyline=0An 420= 0 2400 m=0A 4500 3000 l gs col0 s gr =0A% Ellipse=0An 6000 1800 40 40= 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse= =0An 5700 2400 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0= s gr=0A=0A% Ellipse=0An 5400 3000 40 40 0 360 DrawEllipse gs -0.00 s= etgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 6000 3000 40 40 0 360 Dr= awEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 6300= 2400 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr= =0A=0A% Ellipse=0An 6300 3000 40 40 0 360 DrawEllipse gs -0.00 setgra= y ef gr gs col0 s gr=0A=0A% Polyline=0An 6000 1800 m=0A 5700 2400 l g= s col0 s gr =0A% Polyline=0An 5700 2400 m=0A 6000 3000 l gs col0 s gr= =0A% Polyline=0An 5700 2400 m=0A 5400 3000 l gs col0 s gr =0A% Polyl= ine=0An 6000 1800 m=0A 6300 2400 l gs col0 s gr =0A% Polyline=0An 630= 0 2400 m=0A 6300 3000 l gs col0 s gr =0A% Ellipse=0An 6900 3000 40 40= 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse= =0An 6900 2400 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0= s gr=0A=0A% Ellipse=0An 7200 1800 40 40 0 360 DrawEllipse gs -0.00 s= etgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 7500 2400 40 40 0 360 Dr= awEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 7200= 3000 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr= =0A=0A% Ellipse=0An 7800 3000 40 40 0 360 DrawEllipse gs -0.00 setgra= y ef gr gs col0 s gr=0A=0A% Polyline=0An 7200 1800 m=0A 6900 2400 l g= s col0 s gr =0A% Polyline=0An 6900 2400 m=0A 6900 3000 l gs col0 s gr= =0A% Polyline=0An 7200 1800 m=0A 7500 2400 l gs col0 s gr =0A% Polyl= ine=0An 7500 2400 m=0A 7200 3000 l gs col0 s gr =0A% Polyline=0An 750= 0 2400 m=0A 7800 3000 l gs col0 s gr =0A% Ellipse=0An 8700 3000 40 40= 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse= =0An 8700 1800 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0= s gr=0A=0A% Ellipse=0An 8700 2400 40 40 0 360 DrawEllipse gs -0.00 s= etgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 8400 3600 40 40 0 360 Dr= awEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 8700= 3600 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr= =0A=0A% Ellipse=0An 9000 3600 40 40 0 360 DrawEllipse gs -0.00 setgra= y ef gr gs col0 s gr=0A=0A% Polyline=0An 8700 1800 m=0A 8700 2400 l g= s col0 s gr =0A% Polyline=0An 8700 2400 m=0A 8700 3000 l gs col0 s gr= =0A% Polyline=0An 8700 3000 m=0A 8400 3600 l gs col0 s gr =0A% Polyl= ine=0An 8700 3000 m=0A 9000 3600 l gs col0 s gr =0A% Polyline=0An 870= 0 3000 m=0A 8700 3600 l gs col0 s gr =0A% Ellipse=0An 9600 3600 40 40= 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse= =0An 9600 3000 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0= s gr=0A=0A% Ellipse=0An 9900 2400 40 40 0 360 DrawEllipse gs -0.00 s= etgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 9900 1800 40 40 0 360 Dr= awEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 1020= 0 3000 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr= =0A=0A% Ellipse=0An 10200 3600 40 40 0 360 DrawEllipse gs -0.00 setgr= ay ef gr gs col0 s gr=0A=0A% Polyline=0An 9900 1800 m=0A 9900 2400 l = gs col0 s gr =0A% Polyline=0An 9900 2400 m=0A 9600 3000 l gs col0 s g= r =0A% Polyline=0An 9600 3000 m=0A 9600 3600 l gs col0 s gr =0A% Poly= line=0An 9900 2400 m=0A 10200 3000 l gs col0 s gr =0A% Polyline=0An 1= 0200 3000 m=0A 10200 3600 l gs col0 s gr =0A% Ellipse=0An 11100 1800 = 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% El= lipse=0An 11100 2400 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr g= s col0 s gr=0A=0A% Ellipse=0An 11100 3000 40 40 0 360 DrawEllipse gs = -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 11100 3600 40 40 = 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse= =0An 10800 4200 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col= 0 s gr=0A=0A% Ellipse=0An 11400 4200 40 40 0 360 DrawEllipse gs -0.00= setgray ef gr gs col0 s gr=0A=0A% Polyline=0An 11100 1800 m=0A 11100= 3600 l gs col0 s gr =0A% Polyline=0An 11100 3600 m=0A 10800 4200 l g= s col0 s gr =0A% Polyline=0An 11100 3600 m=0A 11400 4200 l gs col0 s = gr =0A% Ellipse=0An 12000 1800 40 40 0 360 DrawEllipse gs -0.00 setgr= ay ef gr gs col0 s gr=0A=0A% Ellipse=0An 12000 2400 40 40 0 360 DrawE= llipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 12000 3= 000 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A= =0A% Ellipse=0An 12000 3600 40 40 0 360 DrawEllipse gs -0.00 setgray = ef gr gs col0 s gr=0A=0A% Ellipse=0An 12000 4200 40 40 0 360 DrawElli= pse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 12000 4800= 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% P= olyline=0An 12000 1800 m=0A 12000 4800 l gs col0 s gr =0A% Ellipse= =0An 600 2400 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 = s gr=0A=0A% Ellipse=0An 1200 2400 40 40 0 360 DrawEllipse gs -0.00 se= tgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 1800 2400 40 40 0 360 Dra= wEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 2400 = 2400 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A= =0A% Ellipse=0An 3000 2400 40 40 0 360 DrawEllipse gs -0.00 setgray e= f gr gs col0 s gr=0A=0A% Ellipse=0An 1800 1800 40 40 0 360 DrawEllips= e gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Polyline=0An 1800 1800 m= =0A 1800 2400 l gs col0 s gr =0A% Polyline=0An 1800 1800 m=0A 600 240= 0 l gs col0 s gr =0A% Polyline=0An 1800 1800 m=0A 1200 2400 l gs col0= s gr =0A% Polyline=0An 1800 1800 m=0A 2400 2400 l gs col0 s gr =0A% = Polyline=0An 1800 1800 m=0A 3000 2400 l gs col0 s gr =0A% Polyline= =0A [60] 0 sd=0An 0 1800 m=0A 0 4800 l gs col0 s gr [] 0 sd=0A% Poly= line=0An -75 1800 m=0A 75 1800 l gs col0 s gr =0A% Polyline=0An -75 3= 000 m=0A 75 3000 l gs col0 s gr =0A% Polyline=0An -75 3600 m=0A 75 36= 00 l gs col0 s gr =0A% Polyline=0An -75 4200 m=0A 75 4200 l gs col0 s= gr =0A% Polyline=0An -75 4800 m=0A 75 4800 l gs col0 s gr =0A% Polyl= ine=0An -75 2400 m=0A 75 2400 l gs col0 s gr =0A/Times-Italic ff 240.= 00 scf sf=0A-285 2490 m=0Ags 1 -1 sc (1) col0 sh gr=0A/Times-Italic f= f 240.00 scf sf=0A-300 3075 m=0Ags 1 -1 sc (2) col0 sh gr=0A/Times-It= alic ff 240.00 scf sf=0A-300 3690 m=0Ags 1 -1 sc (3) col0 sh gr=0A/Ti= mes-Italic ff 240.00 scf sf=0A-300 4305 m=0Ags 1 -1 sc (4) col0 sh gr= =0A/Times-Italic ff 240.00 scf sf=0A-285 4890 m=0Ags 1 -1 sc (5) col0= sh gr=0A/Times-Italic ff 240.00 scf sf=0A-300 1890 m=0Ags 1 -1 sc (0= ) col0 sh gr=0A/Times-Roman ff 240.00 scf sf=0A-255 1380 m=0Ags 1 -1 = sc (level) col0 sh gr=0A$F2psEnd=0Ars=0A= --Boundary_(ID_CpbDIwjU034JquXF85welw) Content-type: application/postscript; name=trebal.eps Content-transfer-encoding: QUOTED-PRINTABLE Content-disposition: attachment; filename=trebal.eps %!PS-Adobe-2.0 EPSF-2.0=0A%%Title: trebal.eps=0A%%Creator: fig2dev Ve= rsion 3.2 Patchlevel 3d=0A%%CreationDate: Tue May 31 16:42:16 2005= =0A%%For: rinaldi@homelinux (Rinaldi Simone)=0A%%BoundingBox: 0 0 369= 155=0A%%Magnification: 0.7000=0A%%EndComments=0A/$F2psDict 200 dict = def=0A$F2psDict begin=0A$F2psDict /mtrx matrix put=0A/col-1 {0 setgra= y} bind def=0A/col0 {0.000 0.000 0.000 srgb} bind def=0A/col1 {0.000 = 0.000 1.000 srgb} bind def=0A/col2 {0.000 1.000 0.000 srgb} bind def= =0A/col3 {0.000 1.000 1.000 srgb} bind def=0A/col4 {1.000 0.000 0.000= srgb} bind def=0A/col5 {1.000 0.000 1.000 srgb} bind def=0A/col6 {1.= 000 1.000 0.000 srgb} bind def=0A/col7 {1.000 1.000 1.000 srgb} bind = def=0A/col8 {0.000 0.000 0.560 srgb} bind def=0A/col9 {0.000 0.000 0.= 690 srgb} bind def=0A/col10 {0.000 0.000 0.820 srgb} bind def=0A/col1= 1 {0.530 0.810 1.000 srgb} bind def=0A/col12 {0.000 0.560 0.000 srgb}= bind def=0A/col13 {0.000 0.690 0.000 srgb} bind def=0A/col14 {0.000 = 0.820 0.000 srgb} bind def=0A/col15 {0.000 0.560 0.560 srgb} bind def= =0A/col16 {0.000 0.690 0.690 srgb} bind def=0A/col17 {0.000 0.820 0.8= 20 srgb} bind def=0A/col18 {0.560 0.000 0.000 srgb} bind def=0A/col19= {0.690 0.000 0.000 srgb} bind def=0A/col20 {0.820 0.000 0.000 srgb} = bind def=0A/col21 {0.560 0.000 0.560 srgb} bind def=0A/col22 {0.690 0= .000 0.690 srgb} bind def=0A/col23 {0.820 0.000 0.820 srgb} bind def= =0A/col24 {0.500 0.190 0.000 srgb} bind def=0A/col25 {0.630 0.250 0.0= 00 srgb} bind def=0A/col26 {0.750 0.380 0.000 srgb} bind def=0A/col27= {1.000 0.500 0.500 srgb} bind def=0A/col28 {1.000 0.630 0.630 srgb} = bind def=0A/col29 {1.000 0.750 0.750 srgb} bind def=0A/col30 {1.000 0= .880 0.880 srgb} bind def=0A/col31 {1.000 0.840 0.000 srgb} bind def= =0A=0Aend=0Asave=0Anewpath 0 155 moveto 0 0 lineto 369 0 lineto 369 1= 55 lineto closepath clip newpath=0A-62.5 229.4 translate=0A1 -1 scale= =0A=0A/cp {closepath} bind def=0A/ef {eofill} bind def=0A/gr {grestor= e} bind def=0A/gs {gsave} bind def=0A/sa {save} bind def=0A/rs {resto= re} bind def=0A/l {lineto} bind def=0A/m {moveto} bind def=0A/rm {rmo= veto} bind def=0A/n {newpath} bind def=0A/s {stroke} bind def=0A/sh {= show} bind def=0A/slc {setlinecap} bind def=0A/slj {setlinejoin} bind= def=0A/slw {setlinewidth} bind def=0A/srgb {setrgbcolor} bind def= =0A/rot {rotate} bind def=0A/sc {scale} bind def=0A/sd {setdash} bind= def=0A/ff {findfont} bind def=0A/sf {setfont} bind def=0A/scf {scale= font} bind def=0A/sw {stringwidth} bind def=0A/tr {translate} bind de= f=0A/tnt {dup dup currentrgbcolor=0A 4 -2 roll dup 1 exch sub 3 -1 r= oll mul add=0A 4 -2 roll dup 1 exch sub 3 -1 roll mul add=0A 4 -2 r= oll dup 1 exch sub 3 -1 roll mul add srgb}=0A bind def=0A/shd {dup d= up currentrgbcolor 4 -2 roll mul 4 -2 roll mul=0A 4 -2 roll mul srgb= } bind def=0A/reencdict 12 dict def /ReEncode { reencdict begin=0A/ne= wcodesandnames exch def /newfontname exch def /basefontname exch def= =0A/basefontdict basefontname findfont def /newfont basefontdict maxl= ength dict def=0Abasefontdict { exch dup /FID ne { dup /Encoding eq= =0A{ exch dup length array copy newfont 3 1 roll put }=0A{ exch newfo= nt 3 1 roll put } ifelse } { pop pop } ifelse } forall=0Anewfont /Fon= tName newfontname put newcodesandnames aload pop=0A128 1 255 { newfon= t /Encoding get exch /.notdef put } for=0Anewcodesandnames length 2 i= div { newfont /Encoding get 3 1 roll put } repeat=0Anewfontname newfo= nt definefont pop end } def=0A/isovec [=0A8#055 /minus 8#200 /grave 8= #201 /acute 8#202 /circumflex 8#203 /tilde=0A8#204 /macron 8#205 /bre= ve 8#206 /dotaccent 8#207 /dieresis=0A8#210 /ring 8#211 /cedilla 8#21= 2 /hungarumlaut 8#213 /ogonek 8#214 /caron=0A8#220 /dotlessi 8#230 /o= e 8#231 /OE=0A8#240 /space 8#241 /exclamdown 8#242 /cent 8#243 /sterl= ing=0A8#244 /currency 8#245 /yen 8#246 /brokenbar 8#247 /section 8#25= 0 /dieresis=0A8#251 /copyright 8#252 /ordfeminine 8#253 /guillemotlef= t 8#254 /logicalnot=0A8#255 /hyphen 8#256 /registered 8#257 /macron 8= #260 /degree 8#261 /plusminus=0A8#262 /twosuperior 8#263 /threesuperi= or 8#264 /acute 8#265 /mu 8#266 /paragraph=0A8#267 /periodcentered 8#= 270 /cedilla 8#271 /onesuperior 8#272 /ordmasculine=0A8#273 /guillemo= tright 8#274 /onequarter 8#275 /onehalf=0A8#276 /threequarters 8#277 = /questiondown 8#300 /Agrave 8#301 /Aacute=0A8#302 /Acircumflex 8#303 = /Atilde 8#304 /Adieresis 8#305 /Aring=0A8#306 /AE 8#307 /Ccedilla 8#3= 10 /Egrave 8#311 /Eacute=0A8#312 /Ecircumflex 8#313 /Edieresis 8#314 = /Igrave 8#315 /Iacute=0A8#316 /Icircumflex 8#317 /Idieresis 8#320 /Et= h 8#321 /Ntilde 8#322 /Ograve=0A8#323 /Oacute 8#324 /Ocircumflex 8#32= 5 /Otilde 8#326 /Odieresis 8#327 /multiply=0A8#330 /Oslash 8#331 /Ugr= ave 8#332 /Uacute 8#333 /Ucircumflex=0A8#334 /Udieresis 8#335 /Yacute= 8#336 /Thorn 8#337 /germandbls 8#340 /agrave=0A8#341 /aacute 8#342 /= acircumflex 8#343 /atilde 8#344 /adieresis 8#345 /aring=0A8#346 /ae 8= #347 /ccedilla 8#350 /egrave 8#351 /eacute=0A8#352 /ecircumflex 8#353= /edieresis 8#354 /igrave 8#355 /iacute=0A8#356 /icircumflex 8#357 /i= dieresis 8#360 /eth 8#361 /ntilde 8#362 /ograve=0A8#363 /oacute 8#364= /ocircumflex 8#365 /otilde 8#366 /odieresis 8#367 /divide=0A8#370 /o= slash 8#371 /ugrave 8#372 /uacute 8#373 /ucircumflex=0A8#374 /udieres= is 8#375 /yacute 8#376 /thorn 8#377 /ydieresis] def=0A/Times-Roman /T= imes-Roman-iso isovec ReEncode=0A/Times-Italic /Times-Italic-iso isov= ec ReEncode=0A/Times-Roman /Times-Roman-iso isovec ReEncode=0A /DrawE= llipse {=0A=09/endangle exch def=0A=09/startangle exch def=0A=09/yrad= exch def=0A=09/xrad exch def=0A=09/y exch def=0A=09/x exch def=0A= =09/savematrix mtrx currentmatrix def=0A=09x y tr xrad yrad sc 0 0 1 = startangle endangle arc=0A=09closepath=0A=09savematrix setmatrix=0A= =09} def=0A=0A/$F2psBegin {$F2psDict begin /$F2psEnteredState save de= f} def=0A/$F2psEnd {$F2psEnteredState restore end} def=0A=0A$F2psBegi= n=0A10 setmiterlimit=0A 0.04200 0.04200 sc=0A%=0A% Fig objects follow= =0A%=0A/Times-Italic-iso ff 240.00 scf sf=0A6975 2475 m=0Ags 1 -1 sc = (n) col0 sh gr=0A/Times-Italic-iso ff 150.00 scf sf=0A7110 2550 m= =0Ags 1 -1 sc (i) col0 sh gr=0A/Times-Italic-iso ff 240.00 scf sf= =0A7155 2490 m=0Ags 1 -1 sc (-1) col0 sh gr=0A/Times-Italic-iso ff 24= 0.00 scf sf=0A6675 2490 m=0Ags 1 -1 sc (k-) col0 sh gr=0A/Times-Itali= c-iso ff 240.00 scf sf=0A8985 3300 m=0Ags 1 -1 sc (e) col0 sh gr=0A/T= imes-Italic-iso ff 150.00 scf sf=0A9120 3360 m=0Ags 1 -1 sc (i) col0 = sh gr=0A/Times-Italic-iso ff 240.00 scf sf=0A9885 2985 m=0Ags 1 -1 sc= (e) col0 sh gr=0A/Times-Italic-iso ff 150.00 scf sf=0A10020 3075 m= =0Ags 1 -1 sc (i+1) col0 sh gr=0A/Times-Italic-iso ff 240.00 scf sf= =0A3780 2760 m=0Ags 1 -1 sc (n) col0 sh gr=0A/Times-Italic-iso ff 150= .00 scf sf=0A3915 2835 m=0Ags 1 -1 sc (i) col0 sh gr=0A/Times-Italic-= iso ff 240.00 scf sf=0A1560 4560 m=0Ags 1 -1 sc (e) col0 sh gr=0A/Tim= es-Italic-iso ff 150.00 scf sf=0A1695 4620 m=0Ags 1 -1 sc (i) col0 sh= gr=0A/Times-Italic-iso ff 240.00 scf sf=0A2055 4560 m=0Ags 1 -1 sc (= e) col0 sh gr=0A/Times-Italic-iso ff 150.00 scf sf=0A2190 4650 m=0Ags= 1 -1 sc (i+1) col0 sh gr=0A7.500 slw=0A% Ellipse=0An 2100 2100 40 40= 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse= =0An 1800 3300 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0= s gr=0A=0A% Ellipse=0An 1650 4200 40 40 0 360 DrawEllipse gs -0.00 s= etgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 2100 4200 40 40 0 360 Dr= awEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Polyline=0An 210= 0 2100 m=0A 1500 3300 l gs col0 s gr =0A% Polyline=0An 2100 2100 m= =0A 2700 3300 l gs col0 s gr =0A% Polyline=0An 1500 3300 m=0A 2700 33= 00 l gs col0 s gr =0A% Polyline=0An 1800 3300 m 1650 3600 l=0A 1650 4= 200 l gs col0 s gr =0A% Polyline=0An 1800 3300 m 2100 3600 l=0A 2100 = 4200 l gs col0 s gr =0A% Polyline=0A [60] 0 sd=0Ags clippath=0A3570 = 3315 m 3630 3315 l 3630 3163 l 3600 3283 l 3570 3163 l cp=0A3630 2085= m 3570 2085 l 3570 2237 l 3600 2117 l 3630 2237 l cp=0Aeoclip=0An 36= 00 2100 m=0A 3600 3300 l gs col0 s gr gr=0A [] 0 sd=0A% arrowhead= =0An 3630 2237 m 3600 2117 l 3570 2237 l col0 s=0A% arrowhead=0An 35= 70 3163 m 3600 3283 l 3630 3163 l col0 s=0A% Polyline=0A [60] 0 sd= =0Ags clippath=0A4170 4215 m 4230 4215 l 4230 4063 l 4200 4183 l 417= 0 4063 l cp=0A4230 2085 m 4170 2085 l 4170 2237 l 4200 2117 l 4230 22= 37 l cp=0Aeoclip=0An 4200 2100 m=0A 4200 4200 l gs col0 s gr gr=0A []= 0 sd=0A% arrowhead=0An 4230 2237 m 4200 2117 l 4170 2237 l col0 s= =0A% arrowhead=0An 4170 4063 m 4200 4183 l 4230 4063 l col0 s=0A/Tim= es-Roman-iso ff 180.00 scf sf=0A2250 2025 m=0Ags 1 -1 sc (root) col0 = sh gr=0A/Times-Italic-iso ff 240.00 scf sf=0A4500 3300 m=0Ags 1 -1 sc= (k) col0 sh gr=0A% Polyline=0An 6000 3900 m 6000 4200 l 7800 4200 l = 7800 3900 l=0A 6000 3900 l cp gs col0 s gr =0A% Polyline=0An 6150 39= 00 m 6150 3750 l 6375 3750 l 6375 3525 l 6600 3525 l=0A 6600 3300 l g= s col0 s gr =0A% Polyline=0An 7800 3900 m=0A 7950 3900 l gs col0 s gr= =0A% Polyline=0An 7950 3900 m 7950 3750 l 8175 3750 l 8175 3525 l 84= 00 3525 l=0A 8400 3300 l gs col0 s gr =0A% Polyline=0An 6600 3000 m 6= 600 3300 l 8400 3300 l 8400 3000 l=0A 6600 3000 l cp gs col0 s gr = =0A% Polyline=0An 7500 2700 m 7500 3000 l 9300 3000 l 9300 2700 l= =0A 7500 2700 l cp gs col0 s gr =0A% Polyline=0An 7725 2700 m 7725 2= 550 l 7950 2550 l 7950 2325 l 8175 2325 l=0A 8175 2100 l gs col0 s gr= =0A% Polyline=0An 9300 2700 m=0A 9450 2700 l gs col0 s gr =0A% Polyl= ine=0An 9450 2700 m 9450 2550 l 9675 2550 l 9675 2325 l 9900 2325 l= =0A 9900 2100 l gs col0 s gr =0A% Polyline=0An 8175 1800 m 8175 2100 = l 9975 2100 l 9975 1800 l=0A 8175 1800 l cp gs col0 s gr =0A% Polyli= ne=0A [60] 0 sd=0Ags clippath=0A7815 4530 m 7815 4470 l 7663 4470 l = 7783 4500 l 7663 4530 l cp=0A5985 4470 m 5985 4530 l 6137 4530 l 6017= 4500 l 6137 4470 l cp=0Aeoclip=0An 6000 4500 m=0A 7800 4500 l gs col= 0 s gr gr=0A [] 0 sd=0A% arrowhead=0An 6137 4470 m 6017 4500 l 6137 4= 530 l col0 s=0A% arrowhead=0An 7663 4530 m 7783 4500 l 7663 4470 l = col0 s=0A% Polyline=0A [60] 0 sd=0Ags clippath=0A7515 2730 m 7515 26= 70 l 7363 2670 l 7483 2700 l 7363 2730 l cp=0A6585 2670 m 6585 2730 l= 6737 2730 l 6617 2700 l 6737 2670 l cp=0Aeoclip=0An 6600 2700 m=0A 7= 500 2700 l gs col0 s gr gr=0A [] 0 sd=0A% arrowhead=0An 6737 2670 m 6= 617 2700 l 6737 2730 l col0 s=0A% arrowhead=0An 7363 2730 m 7483 270= 0 l 7363 2670 l col0 s=0A/Times-Roman-iso ff 240.00 scf sf=0A2700 54= 00 m=0Ags 1 -1 sc (\(a\)) col0 sh gr=0A/Times-Italic-iso ff 240.00 sc= f sf=0A6825 4800 m=0Ags 1 -1 sc (k) col0 sh gr=0A/Times-Roman-iso ff = 240.00 scf sf=0A7950 5400 m=0Ags 1 -1 sc (\(b\)) col0 sh gr=0A$F2psEn= d=0Ars=0A= --Boundary_(ID_CpbDIwjU034JquXF85welw) Content-type: application/postscript; name=qpex.eps Content-transfer-encoding: QUOTED-PRINTABLE Content-disposition: attachment; filename=qpex.eps %!PS-Adobe-2.0 EPSF-2.0=0D=0A%%Title: /Users/srecko/Desktop/ArticlesP= ortable/Chambery/PPQR/qpex.fig=0D=0A%%Creator: fig2dev Version 3.2 Pa= tchlevel 4=0D=0A%%CreationDate: Sat Mar 12 04:43:37 2005=0D=0A%%For: = srecko@PortableG4.local (Srecko)=0D=0A%%BoundingBox: 0 0 168 83=0D= =0A%%Magnification: 0.6000=0D=0A%%EndComments=0D=0A/$F2psDict 200 dic= t def=0D=0A$F2psDict begin=0D=0A$F2psDict /mtrx matrix put=0D=0A/col-= 1 {0 setgray} bind def=0D=0A/col0 {0.000 0.000 0.000 srgb} bind def= =0D=0A/col1 {0.000 0.000 1.000 srgb} bind def=0D=0A/col2 {0.000 1.000= 0.000 srgb} bind def=0D=0A/col3 {0.000 1.000 1.000 srgb} bind def= =0D=0A/col4 {1.000 0.000 0.000 srgb} bind def=0D=0A/col5 {1.000 0.000= 1.000 srgb} bind def=0D=0A/col6 {1.000 1.000 0.000 srgb} bind def= =0D=0A/col7 {1.000 1.000 1.000 srgb} bind def=0D=0A/col8 {0.000 0.000= 0.560 srgb} bind def=0D=0A/col9 {0.000 0.000 0.690 srgb} bind def= =0D=0A/col10 {0.000 0.000 0.820 srgb} bind def=0D=0A/col11 {0.530 0.8= 10 1.000 srgb} bind def=0D=0A/col12 {0.000 0.560 0.000 srgb} bind def= =0D=0A/col13 {0.000 0.690 0.000 srgb} bind def=0D=0A/col14 {0.000 0.8= 20 0.000 srgb} bind def=0D=0A/col15 {0.000 0.560 0.560 srgb} bind def= =0D=0A/col16 {0.000 0.690 0.690 srgb} bind def=0D=0A/col17 {0.000 0.8= 20 0.820 srgb} bind def=0D=0A/col18 {0.560 0.000 0.000 srgb} bind def= =0D=0A/col19 {0.690 0.000 0.000 srgb} bind def=0D=0A/col20 {0.820 0.0= 00 0.000 srgb} bind def=0D=0A/col21 {0.560 0.000 0.560 srgb} bind def= =0D=0A/col22 {0.690 0.000 0.690 srgb} bind def=0D=0A/col23 {0.820 0.0= 00 0.820 srgb} bind def=0D=0A/col24 {0.500 0.190 0.000 srgb} bind def= =0D=0A/col25 {0.630 0.250 0.000 srgb} bind def=0D=0A/col26 {0.750 0.3= 80 0.000 srgb} bind def=0D=0A/col27 {1.000 0.500 0.500 srgb} bind def= =0D=0A/col28 {1.000 0.630 0.630 srgb} bind def=0D=0A/col29 {1.000 0.7= 50 0.750 srgb} bind def=0D=0A/col30 {1.000 0.880 0.880 srgb} bind def= =0D=0A/col31 {1.000 0.840 0.000 srgb} bind def=0D=0A=0D=0Aend=0D=0Asa= ve=0D=0Anewpath 0 83 moveto 0 0 lineto 168 0 lineto 168 83 lineto clo= sepath clip newpath=0D=0A-42.0 113.4 translate=0D=0A1 -1 scale=0D= =0A=0D=0A/cp {closepath} bind def=0D=0A/ef {eofill} bind def=0D=0A/gr= {grestore} bind def=0D=0A/gs {gsave} bind def=0D=0A/sa {save} bind d= ef=0D=0A/rs {restore} bind def=0D=0A/l {lineto} bind def=0D=0A/m {mov= eto} bind def=0D=0A/rm {rmoveto} bind def=0D=0A/n {newpath} bind def= =0D=0A/s {stroke} bind def=0D=0A/sh {show} bind def=0D=0A/slc {setlin= ecap} bind def=0D=0A/slj {setlinejoin} bind def=0D=0A/slw {setlinewid= th} bind def=0D=0A/srgb {setrgbcolor} bind def=0D=0A/rot {rotate} bin= d def=0D=0A/sc {scale} bind def=0D=0A/sd {setdash} bind def=0D=0A/ff = {findfont} bind def=0D=0A/sf {setfont} bind def=0D=0A/scf {scalefont}= bind def=0D=0A/sw {stringwidth} bind def=0D=0A/tr {translate} bind d= ef=0D=0A/tnt {dup dup currentrgbcolor=0D=0A 4 -2 roll dup 1 exch sub= 3 -1 roll mul add=0D=0A 4 -2 roll dup 1 exch sub 3 -1 roll mul add= =0D=0A 4 -2 roll dup 1 exch sub 3 -1 roll mul add srgb}=0D=0A bind = def=0D=0A/shd {dup dup currentrgbcolor 4 -2 roll mul 4 -2 roll mul= =0D=0A 4 -2 roll mul srgb} bind def=0D=0A /DrawEllipse {=0D=0A=09/en= dangle exch def=0D=0A=09/startangle exch def=0D=0A=09/yrad exch def= =0D=0A=09/xrad exch def=0D=0A=09/y exch def=0D=0A=09/x exch def=0D= =0A=09/savematrix mtrx currentmatrix def=0D=0A=09x y tr xrad yrad sc = 0 0 1 startangle endangle arc=0D=0A=09closepath=0D=0A=09savematrix se= tmatrix=0D=0A=09} def=0D=0A=0D=0A/$F2psBegin {$F2psDict begin /$F2psE= nteredState save def} def=0D=0A/$F2psEnd {$F2psEnteredState restore e= nd} def=0D=0A=0D=0A$F2psBegin=0D=0A10 setmiterlimit=0D=0A0 slj 0 slc= =0D=0A 0.03600 0.03600 sc=0D=0A%=0D=0A% Fig objects follow=0D=0A%= =0D=0A% =0D=0A% here starts figure with depth 50=0D=0A/Times-BoldItal= ic ff 270.00 scf sf=0D=0A5250 2025 m=0D=0Ags 1 -1 sc (X) col0 sh gr= =0D=0A% Ellipse=0D=0A7.500 slw=0D=0An 5400 1200 54 54 0 360 DrawEllip= se gs 0.00 setgray ef gr gs col0 s gr=0D=0A=0D=0A% Ellipse=0D=0An 450= 0 1500 54 54 0 360 DrawEllipse gs 0.00 setgray ef gr gs col0 s gr= =0D=0A=0D=0A% Ellipse=0D=0An 4200 3000 54 54 0 360 DrawEllipse gs 0.0= 0 setgray ef gr gs col0 s gr=0D=0A=0D=0A% Polyline=0D=0An 1200 1800 m= 1500 1800 l 1500 2100 l 1200 2100 l=0D=0A 1200 1800 l cp gs col0 s = gr =0D=0A% Polyline=0D=0An 1200 2100 m 1500 2100 l 1500 2400 l 1200 2= 400 l=0D=0A 1200 2100 l cp gs col0 s gr =0D=0A% Polyline=0D=0An 1200= 2400 m 1500 2400 l 1500 2700 l 1200 2700 l=0D=0A 1200 2400 l cp gs = col0 s gr =0D=0A% Polyline=0D=0An 1200 2700 m 1500 2700 l 1500 3000 l= 1200 3000 l=0D=0A 1200 2700 l cp gs col0 s gr =0D=0A% Polyline=0D= =0An 1500 1800 m 1800 1800 l 1800 2100 l 1500 2100 l=0D=0A 1500 1800 = l cp gs col0 s gr =0D=0A% Polyline=0D=0An 1500 1500 m 1800 1500 l 18= 00 1800 l 1500 1800 l=0D=0A 1500 1500 l cp gs col0 s gr =0D=0A% Poly= line=0D=0An 1800 1500 m 2100 1500 l 2100 1800 l 1800 1800 l=0D=0A 180= 0 1500 l cp gs col0 s gr =0D=0A% Polyline=0D=0An 1800 1200 m 2100 12= 00 l 2100 1500 l 1800 1500 l=0D=0A 1800 1200 l cp gs col0 s gr =0D= =0A% Polyline=0D=0An 2100 1200 m 2400 1200 l 2400 1500 l 2100 1500 l= =0D=0A 2100 1200 l cp gs col0 s gr =0D=0A% Polyline=0D=0An 1800 1800= m 2100 1800 l 2100 2100 l 1800 2100 l=0D=0A 1800 1800 l cp gs col0 = s gr =0D=0A% Polyline=0D=0An 1800 2100 m 2100 2100 l 2100 2400 l 1800= 2400 l=0D=0A 1800 2100 l cp gs col0 s gr =0D=0A% Polyline=0D=0An 18= 00 2400 m 2100 2400 l 2100 2700 l 1800 2700 l=0D=0A 1800 2400 l cp g= s col0 s gr =0D=0A% Polyline=0D=0An 1500 2400 m 1800 2400 l 1800 2700= l 1500 2700 l=0D=0A 1500 2400 l cp gs col0 s gr =0D=0A% Polyline= =0D=0A30.000 slw=0D=0An 1200 3000 m 1200 1800 l 1500 1800 l 1500 1500= l 1800 1500 l 1800 1200 l=0D=0A 2400 1200 l 2400 1500 l 2100 1500 l = 2100 2700 l 1500 2700 l=0D=0A 1500 3000 l=0D=0A 1200 3000 l cp gs co= l0 s gr =0D=0A% Polyline=0D=0An 4200 3000 m 4200 1800 l 4500 1800 l 4= 500 1500 l 4800 1500 l 4800 1200 l=0D=0A 5400 1200 l 5400 1500 l 5100= 1500 l 5100 2700 l 4500 2700 l=0D=0A 4500 3000 l=0D=0A 4200 3000 l = cp gs col0 s gr =0D=0A/Times-BoldItalic ff 270.00 scf sf=0D=0A4665 10= 50 m=0D=0Ags 1 -1 sc (Y) col0 sh gr=0D=0A/Times-BoldItalic ff 270.00 = scf sf=0D=0A4200 1500 m=0D=0Ags 1 -1 sc (B) col0 sh gr=0D=0A/Times-Bo= ldItalic ff 270.00 scf sf=0D=0A3900 2400 m=0D=0Ags 1 -1 sc (X) col0 s= h gr=0D=0A/Times-BoldItalic ff 270.00 scf sf=0D=0A5550 1200 m=0D=0Ags= 1 -1 sc (A') col0 sh gr=0D=0A/Times-BoldItalic ff 270.00 scf sf=0D= =0A5250 2775 m=0D=0Ags 1 -1 sc (B') col0 sh gr=0D=0A/Times-BoldItalic= ff 270.00 scf sf=0D=0A3900 3150 m=0D=0Ags 1 -1 sc (A) col0 sh gr= =0D=0A/Times-BoldItalic ff 270.00 scf sf=0D=0A4725 3000 m=0D=0Ags 1 -= 1 sc (Y) col0 sh gr=0D=0A% Ellipse=0D=0A7.500 slw=0D=0An 5100 2700 54= 54 0 360 DrawEllipse gs 0.00 setgray ef gr gs col0 s gr=0D=0A=0D= =0A% here ends figure;=0D=0A$F2psEnd=0D=0Ars=0D=0Ashowpage=0D=0A= --Boundary_(ID_CpbDIwjU034JquXF85welw) Content-type: application/pdf; name=pse_jis.pdf Content-transfer-encoding: BASE64 Content-disposition: attachment; filename=pse_jis.pdf JVBERi0xLjIKNyAwIG9iago8PAovVHlwZS9FbmNvZGluZwovRGlmZmVyZW5jZXNb MzMvZXhjbGFtL3F1b3RlZGJscmlnaHQvbnVtYmVyc2lnbi9kb2xsYXIvcGVyY2Vu dC9hbXBlcnNhbmQvcXVvdGVyaWdodC9wYXJlbmxlZnQvcGFyZW5yaWdodC9hc3Rl cmlzay9wbHVzL2NvbW1hL2h5cGhlbi9wZXJpb2Qvc2xhc2gvemVyby9vbmUvdHdv L3RocmVlL2ZvdXIvZml2ZS9zaXgvc2V2ZW4vZWlnaHQvbmluZS9jb2xvbi9zZW1p Y29sb24vZXhjbGFtZG93bi9lcXVhbC9xdWVzdGlvbmRvd24vcXVlc3Rpb24vYXQv QS9CL0MvRC9FL0YvRy9IL0kvSi9LL0wvTS9OL08vUC9RL1IvUy9UL1UvVi9XL1gv WS9aL2JyYWNrZXRsZWZ0L3F1b3RlZGJsbGVmdC9icmFja2V0cmlnaHQvY2lyY3Vt ZmxleC9kb3RhY2NlbnQvcXVvdGVsZWZ0L2EvYi9jL2QvZS9mL2cvaC9pL2ovay9s L20vbi9vL3AvcS9yL3MvdC91L3Yvdy94L3kvei9lbmRhc2gvZW1kYXNoL2h1bmdh cnVtbGF1dC90aWxkZS9kaWVyZXNpcy9HYW1tYS9EZWx0YS9UaGV0YS9MYW1iZGEv WGkvUGkvU2lnbWEvVXBzaWxvbi9QaGkvUHNpL09tZWdhL2ZmL2ZpL2ZsL2ZmaS9m ZmwvZG90bGVzc2kvZG90bGVzc2ovZ3JhdmUvYWN1dGUvY2Fyb24vYnJldmUvbWFj cm9uL3JpbmcvY2VkaWxsYS9nZXJtYW5kYmxzL2FlL29lL29zbGFzaC9BRS9PRS9P c2xhc2gvc3VwcHJlc3MvR2FtbWEvRGVsdGEvVGhldGEvTGFtYmRhL1hpL1BpL1Np Z21hL1Vwc2lsb24vUGhpL1BzaQoxNzMvT21lZ2EvZmYvZmkvZmwvZmZpL2ZmbC9k b3RsZXNzaS9kb3RsZXNzai9ncmF2ZS9hY3V0ZS9jYXJvbi9icmV2ZS9tYWNyb24v cmluZy9jZWRpbGxhL2dlcm1hbmRibHMvYWUvb2Uvb3NsYXNoL0FFL09FL09zbGFz aC9zdXBwcmVzcy9kaWVyZXNpcwoyNTUvZGllcmVzaXNdCj4+CmVuZG9iagoxMCAw IG9iago8PAovRW5jb2RpbmcgNyAwIFIKL1R5cGUvRm9udAovU3VidHlwZS9UeXBl MQovTmFtZS9GMQovRm9udERlc2NyaXB0b3IgOSAwIFIKL0Jhc2VGb250L0NLSFJJ TytDTVIxNwovRmlyc3RDaGFyIDMzCi9MYXN0Q2hhciAxOTYKL1dpZHRoc1syNDku NiA0NTguNiA3NzIuMSA0NTguNiA3NzIuMSA3MTkuOCAyNDkuNiAzNTQuMSAzNTQu MSA0NTguNiA3MTkuOCAyNDkuNiAzMDEuOQoyNDkuNiA0NTguNiA0NTguNiA0NTgu NiA0NTguNiA0NTguNiA0NTguNiA0NTguNiA0NTguNiA0NTguNiA0NTguNiA0NTgu NiAyNDkuNiAyNDkuNgoyNDkuNiA3MTkuOCA0MzIuNSA0MzIuNSA3MTkuOCA2OTMu MyA2NTQuMyA2NjcuNiA3MDYuNiA2MjguMiA2MDIuMSA3MjYuMyA2OTMuMyAzMjcu Ngo0NzEuNSA3MTkuNCA1NzYgODUwIDY5My4zIDcxOS44IDYyOC4yIDcxOS44IDY4 MC41IDUxMC45IDY2Ny42IDY5My4zIDY5My4zIDk1NC41IDY5My4zCjY5My4zIDU2 My4xIDI0OS42IDQ1OC42IDI0OS42IDQ1OC42IDI0OS42IDI0OS42IDQ1OC42IDUx MC45IDQwNi40IDUxMC45IDQwNi40IDI3NS44CjQ1OC42IDUxMC45IDI0OS42IDI3 NS44IDQ4NC43IDI0OS42IDc3Mi4xIDUxMC45IDQ1OC42IDUxMC45IDQ4NC43IDM1 NC4xIDM1OS40IDM1NC4xCjUxMC45IDQ4NC43IDY2Ny42IDQ4NC43IDQ4NC43IDQw Ni40IDQ1OC42IDkxNy4yIDQ1OC42IDQ1OC42IDQ1OC42IDAgMCAwIDAgMCAwIDAg MAowIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg MCAwIDU3NiA3NzIuMSA3MTkuOCA2NDEuMSA2MTUuMyA2OTMuMwo2NjcuNiA3MTku OCA2NjcuNiA3MTkuOCAwIDAgNjY3LjYgNTI1LjQgNDk5LjMgNDk5LjMgNzQ4Ljkg NzQ4LjkgMjQ5LjYgMjc1LjggNDU4LjYKNDU4LjYgNDU4LjYgNDU4LjYgNDU4LjYg NjkzLjMgNDA2LjQgNDU4LjYgNjY3LjYgNzE5LjggNDU4LjYgODM3LjIgOTQxLjcg NzE5LjggMjQ5LjYKNDU4LjZdCj4+CmVuZG9iagoxMyAwIG9iago8PAovRW5jb2Rp bmcgNyAwIFIKL1R5cGUvRm9udAovU3VidHlwZS9UeXBlMQovTmFtZS9GMgovRm9u dERlc2NyaXB0b3IgMTIgMCBSCi9CYXNlRm9udC9JR1FSQVgrQ01SMTIKL0ZpcnN0 Q2hhciAzMwovTGFzdENoYXIgMTk2Ci9XaWR0aHNbMjcyIDQ4OS42IDgxNiA0ODku NiA4MTYgNzYxLjYgMjcyIDM4MC44IDM4MC44IDQ4OS42IDc2MS42IDI3MiAzMjYu NCAyNzIgNDg5LjYKNDg5LjYgNDg5LjYgNDg5LjYgNDg5LjYgNDg5LjYgNDg5LjYg NDg5LjYgNDg5LjYgNDg5LjYgNDg5LjYgMjcyIDI3MiAyNzIgNzYxLjYgNDYyLjQK NDYyLjQgNzYxLjYgNzM0IDY5My40IDcwNy4yIDc0Ny44IDY2Ni4yIDYzOSA3Njgu MyA3MzQgMzUzLjIgNTAzIDc2MS4yIDYxMS44IDg5Ny4yCjczNCA3NjEuNiA2NjYu MiA3NjEuNiA3MjAuNiA1NDQgNzA3LjIgNzM0IDczNCAxMDA2IDczNCA3MzQgNTk4 LjQgMjcyIDQ4OS42IDI3MiA0ODkuNgoyNzIgMjcyIDQ4OS42IDU0NCA0MzUuMiA1 NDQgNDM1LjIgMjk5LjIgNDg5LjYgNTQ0IDI3MiAyOTkuMiA1MTYuOCAyNzIgODE2 IDU0NCA0ODkuNgo1NDQgNTE2LjggMzgwLjggMzg2LjIgMzgwLjggNTQ0IDUxNi44 IDcwNy4yIDUxNi44IDUxNi44IDQzNS4yIDQ4OS42IDk3OS4yIDQ4OS42IDQ4OS42 CjQ4OS42IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDYxMS44IDgxNgo3NjEuNiA2NzkuNiA2 NTIuOCA3MzQgNzA3LjIgNzYxLjYgNzA3LjIgNzYxLjYgMCAwIDcwNy4yIDU3MS4y IDU0NCA1NDQgODE2IDgxNiAyNzIKMjk5LjIgNDg5LjYgNDg5LjYgNDg5LjYgNDg5 LjYgNDg5LjYgNzM0IDQzNS4yIDQ4OS42IDcwNy4yIDc2MS42IDQ4OS42IDg4My44 IDk5Mi42Cjc2MS42IDI3MiA0ODkuNl0KPj4KZW5kb2JqCjE2IDAgb2JqCjw8Ci9U eXBlL0ZvbnQKL1N1YnR5cGUvVHlwZTEKL05hbWUvRjMKL0ZvbnREZXNjcmlwdG9y IDE1IDAgUgovQmFzZUZvbnQvVkpTWFpRK0NNU1k4Ci9GaXJzdENoYXIgMzMKL0xh c3RDaGFyIDE5NgovV2lkdGhzWzEwNjIuNSA1MzEuMyA1MzEuMyAxMDYyLjUgMTA2 Mi41IDEwNjIuNSA4MjYuNCAxMDYyLjUgMTA2Mi41IDY0OS4zIDY0OS4zIDEwNjIu NQoxMDYyLjUgMTA2Mi41IDgyNi40IDI4OC4yIDEwNjIuNSA3MDguMyA3MDguMyA5 NDQuNSA5NDQuNSAwIDAgNTkwLjMgNTkwLjMgNzA4LjMgNTMxLjMKNzY3LjQgNzY3 LjQgODI2LjQgODI2LjQgNjQ5LjMgODQ5LjUgNjk0LjcgNTYyLjYgODIxLjcgNTYw LjggNzU4LjMgNjMxIDkwNC4yIDU4NS41CjcyMC4xIDgwNy40IDczMC43IDEyNjQu NSA4NjkuMSA4NDEuNiA3NDMuMyA4NjcuNyA5MDYuOSA2NDMuNCA1ODYuMyA2NjIu OCA2NTYuMiAxMDU0LjYKNzU2LjQgNzA1LjggNzYzLjYgNzA4LjMgNzA4LjMgNzA4 LjMgNzA4LjMgNzA4LjMgNjQ5LjMgNjQ5LjMgNDcyLjIgNDcyLjIgNDcyLjIgNDcy LjIKNTMxLjMgNTMxLjMgNDEzLjIgNDEzLjIgMjk1LjEgNTMxLjMgNTMxLjMgNjQ5 LjMgNTMxLjMgMjk1LjEgODg1LjQgNzk1LjggODg1LjQgNDQzLjYKNzA4LjMgNzA4 LjMgODI2LjQgODI2LjQgNDcyLjIgNDcyLjIgNDcyLjIgNjQ5LjMgODI2LjQgODI2 LjQgODI2LjQgODI2LjQgMCAwIDAgMCAwCjAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgODI2LjQgMjk1LjEgODI2 LjQgNTMxLjMgODI2LjQKNTMxLjMgODI2LjQgODI2LjQgODI2LjQgODI2LjQgMCAw IDgyNi40IDgyNi40IDgyNi40IDEwNjIuNSA1MzEuMyA1MzEuMyA4MjYuNCA4MjYu NAo4MjYuNCA4MjYuNCA4MjYuNCA4MjYuNCA4MjYuNCA4MjYuNCA4MjYuNCA4MjYu NCA4MjYuNCA4MjYuNCAxMDYyLjUgMTA2Mi41IDgyNi40IDgyNi40CjEwNjIuNSA4 MjYuNF0KPj4KZW5kb2JqCjE5IDAgb2JqCjw8Ci9FbmNvZGluZyA3IDAgUgovVHlw ZS9Gb250Ci9TdWJ0eXBlL1R5cGUxCi9OYW1lL0Y0Ci9Gb250RGVzY3JpcHRvciAx OCAwIFIKL0Jhc2VGb250L0tXUk1GQytDTUJYOQovRmlyc3RDaGFyIDMzCi9MYXN0 Q2hhciAxOTYKL1dpZHRoc1szNjAuMiA2MTcuNiA5ODYuMSA1OTEuNyA5ODYuMSA5 MjAuNCAzMjguNyA0NjAuMiA0NjAuMiA1OTEuNyA5MjAuNCAzMjguNyAzOTQuNAoz MjguNyA1OTEuNyA1OTEuNyA1OTEuNyA1OTEuNyA1OTEuNyA1OTEuNyA1OTEuNyA1 OTEuNyA1OTEuNyA1OTEuNyA1OTEuNyAzMjguNyAzMjguNwozNjAuMiA5MjAuNCA1 NTguOCA1NTguOCA5MjAuNCA4OTIuOSA4NDAuOSA4NTQuNiA5MDYuNiA3NzYuNSA3 NDMuNyA5MjkuOSA5MjQuNCA0NDYuMwo2MTAuOCA5MjUuOCA3MTAuOCAxMTIxLjYg OTI0LjQgODg4LjkgODA4IDg4OC45IDg4Ni43IDY1Ny40IDgyMy4xIDkwOC42IDg5 Mi45IDEyMjEuNgo4OTIuOSA4OTIuOSA3MjMuMSAzMjguNyA2MTcuNiAzMjguNyA1 OTEuNyAzMjguNyAzMjguNyA1NzUuMiA2NTcuNCA1MjUuOSA2NTcuNCA1NDMKMzYx LjYgNTkxLjcgNjU3LjQgMzI4LjcgMzYxLjYgNjI0LjUgMzI4LjcgOTg2LjEgNjU3 LjQgNTkxLjcgNjU3LjQgNjI0LjUgNDg4LjEgNDY2LjgKNDYwLjIgNjU3LjQgNjI0 LjUgODU0LjYgNjI0LjUgNjI0LjUgNTI1LjkgNTkxLjcgMTE4My4zIDU5MS43IDU5 MS43IDU5MS43IDAgMCAwIDAKMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDcxMC44IDk4Ni4xIDkyMC40IDgy Ny4yCjc4OC45IDkyNC40IDg1NC42IDkyMC40IDg1NC42IDkyMC40IDAgMCA4NTQu NiA2OTAuMyA2NTcuNCA2NTcuNCA5ODYuMSA5ODYuMSAzMjguNwozNjEuNiA1OTEu NyA1OTEuNyA1OTEuNyA1OTEuNyA1OTEuNyA4OTIuOSA1MjUuOSA2MTYuOCA4NTQu NiA5MjAuNCA1OTEuNyAxMDcxIDEyMDIuNQo5MjAuNCAzMjguNyA1OTEuN10KPj4K ZW5kb2JqCjIyIDAgb2JqCjw8Ci9FbmNvZGluZyA3IDAgUgovVHlwZS9Gb250Ci9T dWJ0eXBlL1R5cGUxCi9OYW1lL0Y1Ci9Gb250RGVzY3JpcHRvciAyMSAwIFIKL0Jh c2VGb250L0JITVdGUytDTVI5Ci9GaXJzdENoYXIgMzMKL0xhc3RDaGFyIDE5Ngov V2lkdGhzWzI4NS41IDUxMy45IDg1Ni41IDUxMy45IDg1Ni41IDc5OS40IDI4NS41 IDM5OS43IDM5OS43IDUxMy45IDc5OS40IDI4NS41IDM0Mi42CjI4NS41IDUxMy45 IDUxMy45IDUxMy45IDUxMy45IDUxMy45IDUxMy45IDUxMy45IDUxMy45IDUxMy45 IDUxMy45IDUxMy45IDI4NS41IDI4NS41CjI4NS41IDc5OS40IDQ4NS4zIDQ4NS4z IDc5OS40IDc3MC43IDcyNy45IDc0Mi4zIDc4NSA2OTkuNCA2NzAuOCA4MDYuNSA3 NzAuNyAzNzEgNTI4LjEKNzk5LjIgNjQyLjMgOTQyIDc3MC43IDc5OS40IDY5OS40 IDc5OS40IDc1Ni41IDU3MSA3NDIuMyA3NzAuNyA3NzAuNyAxMDU2LjIgNzcwLjcK NzcwLjcgNjI4LjEgMjg1LjUgNTEzLjkgMjg1LjUgNTEzLjkgMjg1LjUgMjg1LjUg NTEzLjkgNTcxIDQ1Ni44IDU3MSA0NTcuMiAzMTQgNTEzLjkKNTcxIDI4NS41IDMx NCA1NDIuNCAyODUuNSA4NTYuNSA1NzEgNTEzLjkgNTcxIDU0Mi40IDQwMiA0MDUu NCAzOTkuNyA1NzEgNTQyLjQgNzQyLjMKNTQyLjQgNTQyLjQgNDU2LjggNTEzLjkg MTAyNy44IDUxMy45IDUxMy45IDUxMy45IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw IDAgMCAwIDAKMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDY0Mi4z IDg1Ni41IDc5OS40IDcxMy42IDY4NS4yIDc3MC43IDc0Mi4zIDc5OS40Cjc0Mi4z IDc5OS40IDAgMCA3NDIuMyA1OTkuNSA1NzEgNTcxIDg1Ni41IDg1Ni41IDI4NS41 IDMxNCA1MTMuOSA1MTMuOSA1MTMuOSA1MTMuOQo1MTMuOSA3NzAuNyA0NTYuOCA1 MTMuOSA3NDIuMyA3OTkuNCA1MTMuOSA5MjcuOCAxMDQyIDc5OS40IDI4NS41IDUx My45XQo+PgplbmRvYmoKMjUgMCBvYmoKPDwKL0VuY29kaW5nIDcgMCBSCi9UeXBl L0ZvbnQKL1N1YnR5cGUvVHlwZTEKL05hbWUvRjYKL0ZvbnREZXNjcmlwdG9yIDI0 IDAgUgovQmFzZUZvbnQvWk9TRlJGK0NNQlgxMgovRmlyc3RDaGFyIDMzCi9MYXN0 Q2hhciAxOTYKL1dpZHRoc1szNDIuNiA1ODEgOTM3LjUgNTYyLjUgOTM3LjUgODc1 IDMxMi41IDQzNy41IDQzNy41IDU2Mi41IDg3NSAzMTIuNSAzNzUgMzEyLjUKNTYy LjUgNTYyLjUgNTYyLjUgNTYyLjUgNTYyLjUgNTYyLjUgNTYyLjUgNTYyLjUgNTYy LjUgNTYyLjUgNTYyLjUgMzEyLjUgMzEyLjUgMzQyLjYKODc1IDUzMS4zIDUzMS4z IDg3NSA4NDkuNSA3OTkuOCA4MTIuNSA4NjIuMyA3MzguNCA3MDcuMiA4ODQuMyA4 NzkuNiA0MTkgNTgxIDg4MC44CjY3NS45IDEwNjcuMSA4NzkuNiA4NDQuOSA3Njgu NSA4NDQuOSA4MzkuMSA2MjUgNzgyLjQgODY0LjYgODQ5LjUgMTE2MiA4NDkuNSA4 NDkuNQo2ODcuNSAzMTIuNSA1ODEgMzEyLjUgNTYyLjUgMzEyLjUgMzEyLjUgNTQ2 LjkgNjI1IDUwMCA2MjUgNTEzLjMgMzQzLjggNTYyLjUgNjI1IDMxMi41CjM0My44 IDU5My44IDMxMi41IDkzNy41IDYyNSA1NjIuNSA2MjUgNTkzLjggNDU5LjUgNDQz LjggNDM3LjUgNjI1IDU5My44IDgxMi41IDU5My44CjU5My44IDUwMCA1NjIuNSAx MTI1IDU2Mi41IDU2Mi41IDU2Mi41IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg MCAwIDAgMCAwIDAgMCAwCjAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDY3NS45IDkz Ny41IDg3NSA3ODcgNzUwIDg3OS42IDgxMi41IDg3NSA4MTIuNSA4NzUgMCAwIDgx Mi41CjY1Ni4zIDYyNSA2MjUgOTM3LjUgOTM3LjUgMzEyLjUgMzQzLjggNTYyLjUg NTYyLjUgNTYyLjUgNTYyLjUgNTYyLjUgODQ5LjUgNTAwIDU3NC4xCjgxMi41IDg3 NSA1NjIuNSAxMDE4LjUgMTE0My41IDg3NSAzMTIuNSA1NjIuNV0KPj4KZW5kb2Jq CjI4IDAgb2JqCjw8Ci9FbmNvZGluZyA3IDAgUgovVHlwZS9Gb250Ci9TdWJ0eXBl L1R5cGUxCi9OYW1lL0Y3Ci9Gb250RGVzY3JpcHRvciAyNyAwIFIKL0Jhc2VGb250 L1hNWVhZUytDTVIxMAovRmlyc3RDaGFyIDMzCi9MYXN0Q2hhciAxOTYKL1dpZHRo c1syNzcuOCA1MDAgODMzLjMgNTAwIDgzMy4zIDc3Ny44IDI3Ny44IDM4OC45IDM4 OC45IDUwMCA3NzcuOCAyNzcuOCAzMzMuMyAyNzcuOAo1MDAgNTAwIDUwMCA1MDAg NTAwIDUwMCA1MDAgNTAwIDUwMCA1MDAgNTAwIDI3Ny44IDI3Ny44IDI3Ny44IDc3 Ny44IDQ3Mi4yIDQ3Mi4yIDc3Ny44Cjc1MCA3MDguMyA3MjIuMiA3NjMuOSA2ODAu NiA2NTIuOCA3ODQuNyA3NTAgMzYxLjEgNTEzLjkgNzc3LjggNjI1IDkxNi43IDc1 MCA3NzcuOAo2ODAuNiA3NzcuOCA3MzYuMSA1NTUuNiA3MjIuMiA3NTAgNzUwIDEw MjcuOCA3NTAgNzUwIDYxMS4xIDI3Ny44IDUwMCAyNzcuOCA1MDAgMjc3LjgKMjc3 LjggNTAwIDU1NS42IDQ0NC40IDU1NS42IDQ0NC40IDMwNS42IDUwMCA1NTUuNiAy NzcuOCAzMDUuNiA1MjcuOCAyNzcuOCA4MzMuMyA1NTUuNgo1MDAgNTU1LjYgNTI3 LjggMzkxLjcgMzk0LjQgMzg4LjkgNTU1LjYgNTI3LjggNzIyLjIgNTI3LjggNTI3 LjggNDQ0LjQgNTAwIDEwMDAgNTAwCjUwMCA1MDAgMCAwIDAgMCAwIDAgMCAwIDAg MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg NjI1IDgzMy4zCjc3Ny44IDY5NC40IDY2Ni43IDc1MCA3MjIuMiA3NzcuOCA3MjIu MiA3NzcuOCAwIDAgNzIyLjIgNTgzLjMgNTU1LjYgNTU1LjYgODMzLjMgODMzLjMK Mjc3LjggMzA1LjYgNTAwIDUwMCA1MDAgNTAwIDUwMCA3NTAgNDQ0LjQgNTAwIDcy Mi4yIDc3Ny44IDUwMCA5MDIuOCAxMDEzLjkgNzc3LjgKMjc3LjggNTAwXQo+Pgpl bmRvYmoKMzEgMCBvYmoKPDwKL1R5cGUvRm9udAovU3VidHlwZS9UeXBlMQovTmFt ZS9GOAovRm9udERlc2NyaXB0b3IgMzAgMCBSCi9CYXNlRm9udC9DWk1PVlYrQ01N STEwCi9GaXJzdENoYXIgMzMKL0xhc3RDaGFyIDE5NgovV2lkdGhzWzYyMi41IDQ2 Ni4zIDU5MS40IDgyOC4xIDUxNyAzNjIuOCA2NTQuMiAxMDAwIDEwMDAgMTAwMCAx MDAwIDI3Ny44IDI3Ny44IDUwMAo1MDAgNTAwIDUwMCA1MDAgNTAwIDUwMCA1MDAg NTAwIDUwMCA1MDAgNTAwIDI3Ny44IDI3Ny44IDc3Ny44IDUwMCA3NzcuOCA1MDAg NTMwLjkKNzUwIDc1OC41IDcxNC43IDgyNy45IDczOC4yIDY0My4xIDc4Ni4yIDgz MS4zIDQzOS42IDU1NC41IDg0OS4zIDY4MC42IDk3MC4xIDgwMy41Cjc2Mi44IDY0 MiA3OTAuNiA3NTkuMyA2MTMuMiA1ODQuNCA2ODIuOCA1ODMuMyA5NDQuNCA4Mjgu NSA1ODAuNiA2ODIuNiAzODguOSAzODguOQozODguOSAxMDAwIDEwMDAgNDE2Ljcg NTI4LjYgNDI5LjIgNDMyLjggNTIwLjUgNDY1LjYgNDg5LjYgNDc3IDU3Ni4yIDM0 NC41IDQxMS44IDUyMC42CjI5OC40IDg3OCA2MDAuMiA0ODQuNyA1MDMuMSA0NDYu NCA0NTEuMiA0NjguOCAzNjEuMSA1NzIuNSA0ODQuNyA3MTUuOSA1NzEuNSA0OTAu Mwo0NjUgMzIyLjUgMzg0IDYzNi41IDUwMCAyNzcuOCAwIDAgMCAwIDAgMCAwIDAg MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAKMCAwIDAgMCAwIDAg MCA2MTUuMyA4MzMuMyA3NjIuOCA2OTQuNCA3NDIuNCA4MzEuMyA3NzkuOSA1ODMu MyA2NjYuNyA2MTIuMiAwIDAgNzcyLjQKNjM5LjcgNTY1LjYgNTE3LjcgNDQ0LjQg NDA1LjkgNDM3LjUgNDk2LjUgNDY5LjQgMzUzLjkgNTc2LjIgNTgzLjMgNjAyLjUg NDk0IDQzNy41CjU3MCA1MTcgNTcxLjQgNDM3LjIgNTQwLjMgNTk1LjggNjI1Ljcg NjUxLjQgMjc3LjhdCj4+CmVuZG9iagozNCAwIG9iago8PAovVHlwZS9Gb250Ci9T dWJ0eXBlL1R5cGUxCi9OYW1lL0Y5Ci9Gb250RGVzY3JpcHRvciAzMyAwIFIKL0Jh c2VGb250L09DVU9NUytDTU1JNwovRmlyc3RDaGFyIDMzCi9MYXN0Q2hhciAxOTYK L1dpZHRoc1s3MTkuNyA1MzkuNyA2ODkuOSA5NTAgNTkyLjcgNDM5LjIgNzUxLjQg MTEzOC45IDExMzguOSAxMTM4LjkgMTEzOC45IDMzOS4zCjMzOS4zIDU4NS4zIDU4 NS4zIDU4NS4zIDU4NS4zIDU4NS4zIDU4NS4zIDU4NS4zIDU4NS4zIDU4NS4zIDU4 NS4zIDU4NS4zIDU4NS4zIDMzOS4zCjMzOS4zIDg5Mi45IDU4NS4zIDg5Mi45IDU4 NS4zIDYxMC4xIDg1OS4xIDg2My4yIDgxOS40IDkzNC4xIDgzOC43IDcyNC41IDg4 OS40IDkzNS42CjUwNi4zIDYzMiA5NTkuOSA3ODMuNyAxMDg5LjQgOTA0LjkgODY4 LjkgNzI3LjMgODk5LjcgODYwLjYgNzAxLjUgNjc0LjggNzc4LjIgNjc0LjYKMTA3 NC40IDkzNi45IDY3MS41IDc3OC40IDQ2Mi4zIDQ2Mi4zIDQ2Mi4zIDExMzguOSAx MTM4LjkgNDc4LjIgNjE5LjcgNTAyLjQgNTEwLjUKNTk0LjcgNTQyIDU1Ny4xIDU1 Ny4zIDY2OC44IDQwNC4yIDQ3Mi43IDYwNy4zIDM2MS4zIDEwMTMuNyA3MDYuMiA1 NjMuOSA1ODguOSA1MjMuNgo1MzAuNCA1MzkuMiA0MzEuNiA2NzUuNCA1NzEuNCA4 MjYuNCA2NDcuOCA1NzkuNCA1NDUuOCAzOTguNiA0NDIgNzMwLjEgNTg1LjMgMzM5 LjMKMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw IDAgMCAwIDAgMCAwIDAgMCAwIDAgNjkzLjggOTU0LjQgODY4LjkKNzk3LjYgODQ0 LjUgOTM1LjYgODg2LjMgNjc3LjYgNzY5LjggNzE2LjkgMCAwIDg4MCA3NDIuNyA2 NDcuOCA2MDAuMSA1MTkuMiA0NzYuMSA1MTkuOAo1ODguNiA1NDQuMSA0MjIuOCA2 NjguOCA2NzcuNiA2OTQuNiA1NzIuOCA1MTkuOCA2NjggNTkyLjcgNjYyIDUyNi44 IDYzMi45IDY4Ni45IDcxMy44Cjc1NiAzMzkuM10KPj4KZW5kb2JqCjM3IDAgb2Jq Cjw8Ci9UeXBlL0ZvbnQKL1N1YnR5cGUvVHlwZTEKL05hbWUvRjEwCi9Gb250RGVz Y3JpcHRvciAzNiAwIFIKL0Jhc2VGb250L0RRSU1GRitDTVNZNwovRmlyc3RDaGFy IDMzCi9MYXN0Q2hhciAxOTYKL1dpZHRoc1sxMTM4LjkgNTg1LjMgNTg1LjMgMTEz OC45IDExMzguOSAxMTM4LjkgODkyLjkgMTEzOC45IDExMzguOSA3MDguMyA3MDgu MyAxMTM4LjkKMTEzOC45IDExMzguOSA4OTIuOSAzMjkuNCAxMTM4LjkgNzY5Ljgg NzY5LjggMTAxNS45IDEwMTUuOSAwIDAgNjQ2LjggNjQ2LjggNzY5LjgKNTg1LjMg ODMxLjQgODMxLjQgODkyLjkgODkyLjkgNzA4LjMgOTE3LjYgNzUzLjQgNjIwLjIg ODg5LjUgNjE2LjEgODE4LjQgNjg4LjUgOTc4LjYKNjQ2LjUgNzgyLjEgODcxLjcg NzkxLjcgMTM0Mi43IDkzNS42IDkwNS44IDgwOS4yIDkzNS45IDk4MSA3MDIuMiA2 NDcuOCA3MTcuOCA3MTkuOQoxMTM1LjEgODE4LjkgNzY0LjQgODIzLjEgNzY5Ljgg NzY5LjggNzY5LjggNzY5LjggNzY5LjggNzA4LjMgNzA4LjMgNTIzLjggNTIzLjgg NTIzLjgKNTIzLjggNTg1LjMgNTg1LjMgNDYyLjMgNDYyLjMgMzM5LjMgNTg1LjMg NTg1LjMgNzA4LjMgNTg1LjMgMzM5LjMgOTM4LjUgODU5LjEgOTU0LjQKNDkzLjYg NzY5LjggNzY5LjggODkyLjkgODkyLjkgNTIzLjggNTIzLjggNTIzLjggNzA4LjMg ODkyLjkgODkyLjkgODkyLjkgODkyLjkgMCAwCjAgMCAwIDAgMCAwIDAgMCAwIDAg MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgODkyLjkg MzM5LjMgODkyLjkgNTg1LjMKODkyLjkgNTg1LjMgODkyLjkgODkyLjkgODkyLjkg ODkyLjkgMCAwIDg5Mi45IDg5Mi45IDg5Mi45IDExMzguOSA1ODUuMyA1ODUuMyA4 OTIuOQo4OTIuOSA4OTIuOSA4OTIuOSA4OTIuOSA4OTIuOSA4OTIuOSA4OTIuOSA4 OTIuOSA4OTIuOSA4OTIuOSA4OTIuOSAxMTM4LjkgMTEzOC45IDg5Mi45Cjg5Mi45 IDExMzguOSA4OTIuOV0KPj4KZW5kb2JqCjQwIDAgb2JqCjw8Ci9FbmNvZGluZyA3 IDAgUgovVHlwZS9Gb250Ci9TdWJ0eXBlL1R5cGUxCi9OYW1lL0YxMQovRm9udERl c2NyaXB0b3IgMzkgMCBSCi9CYXNlRm9udC9SVUlRQ0orQ01SNwovRmlyc3RDaGFy IDMzCi9MYXN0Q2hhciAxOTYKL1dpZHRoc1szMjMuNCA1NjkuNCA5MzguNSA1Njku NCA5MzguNSA4NzcgMzIzLjQgNDQ2LjQgNDQ2LjQgNTY5LjQgODc3IDMyMy40IDM4 NC45CjMyMy40IDU2OS40IDU2OS40IDU2OS40IDU2OS40IDU2OS40IDU2OS40IDU2 OS40IDU2OS40IDU2OS40IDU2OS40IDU2OS40IDMyMy40IDMyMy40CjMyMy40IDg3 NyA1MzguNyA1MzguNyA4NzcgODQzLjMgNzk4LjYgODE1LjUgODYwLjEgNzY3Ljkg NzM3LjEgODgzLjkgODQzLjMgNDEyLjcgNTgzLjMKODc0IDcwNi40IDEwMjcuOCA4 NDMuMyA4NzcgNzY3LjkgODc3IDgyOS40IDYzMSA4MTUuNSA4NDMuMyA4NDMuMyAx MTUwLjggODQzLjMgODQzLjMKNjkyLjUgMzIzLjQgNTY5LjQgMzIzLjQgNTY5LjQg MzIzLjQgMzIzLjQgNTY5LjQgNjMxIDUwNy45IDYzMSA1MDcuOSAzNTQuMiA1Njku NCA2MzEKMzIzLjQgMzU0LjIgNjAwLjIgMzIzLjQgOTM4LjUgNjMxIDU2OS40IDYz MSA2MDAuMiA0NDYuNCA0NTIuNiA0NDYuNCA2MzEgNjAwLjIgODE1LjUKNjAwLjIg NjAwLjIgNTA3LjkgNTY5LjQgMTEzOC45IDU2OS40IDU2OS40IDU2OS40IDAgMCAw IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAKMCAwIDAgMCAwIDAgMCAwIDAgMCAw IDAgMCAwIDAgMCAwIDcwNi40IDkzOC41IDg3NyA3ODEuOCA3NTQgODQzLjMgODE1 LjUgODc3IDgxNS41Cjg3NyAwIDAgODE1LjUgNjc3LjYgNjQ2LjggNjQ2LjggOTcw LjIgOTcwLjIgMzIzLjQgMzU0LjIgNTY5LjQgNTY5LjQgNTY5LjQgNTY5LjQgNTY5 LjQKODQzLjMgNTA3LjkgNTY5LjQgODE1LjUgODc3IDU2OS40IDEwMTMuOSAxMTM2 LjkgODc3IDMyMy40IDU2OS40XQo+PgplbmRvYmoKNDMgMCBvYmoKPDwKL1R5cGUv Rm9udAovU3VidHlwZS9UeXBlMQovTmFtZS9GMTIKL0ZvbnREZXNjcmlwdG9yIDQy IDAgUgovQmFzZUZvbnQvVldOTVRJK0NNRVgxMAovRmlyc3RDaGFyIDMzCi9MYXN0 Q2hhciAxOTYKL1dpZHRoc1s3OTEuNyA1ODMuMyA1ODMuMyA2MzguOSA2MzguOSA2 MzguOSA2MzguOSA4MDUuNiA4MDUuNiA4MDUuNiA4MDUuNiAxMjc3LjgKMTI3Ny44 IDgxMS4xIDgxMS4xIDg3NSA4NzUgNjY2LjcgNjY2LjcgNjY2LjcgNjY2LjcgNjY2 LjcgNjY2LjcgODg4LjkgODg4LjkgODg4LjkKODg4LjkgODg4LjkgODg4LjkgODg4 LjkgNjY2LjcgODc1IDg3NSA4NzUgODc1IDYxMS4xIDYxMS4xIDgzMy4zIDExMTEu MSA0NzIuMiA1NTUuNgoxMTExLjEgMTUxMS4xIDExMTEuMSAxNTExLjEgMTExMS4x IDE1MTEuMSAxMDU1LjYgOTQ0LjQgNDcyLjIgODMzLjMgODMzLjMgODMzLjMgODMz LjMKODMzLjMgMTQ0NC40IDEyNzcuOCA1NTUuNiAxMTExLjEgMTExMS4xIDExMTEu MSAxMTExLjEgMTExMS4xIDk0NC40IDEyNzcuOCA1NTUuNiAxMDAwCjE0NDQuNCA1 NTUuNiAxMDAwIDE0NDQuNCA0NzIuMiA0NzIuMiA1MjcuOCA1MjcuOCA1MjcuOCA1 MjcuOCA2NjYuNyA2NjYuNyAxMDAwIDEwMDAKMTAwMCAxMDAwIDEwNTUuNiAxMDU1 LjYgMTA1NS42IDc3Ny44IDY2Ni43IDY2Ni43IDQ1MCA0NTAgNDUwIDQ1MCA3Nzcu OCA3NzcuOCAwIDAKMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCA0NTguMyA0NTguMyA0MTYuNyA0MTYu Nwo0NzIuMiA0NzIuMiA0NzIuMiA0NzIuMiA1ODMuMyA1ODMuMyAwIDAgNDcyLjIg NDcyLjIgMzMzLjMgNTU1LjYgNTc3LjggNTc3LjggNTk3LjIKNTk3LjIgNzM2LjEg NzM2LjEgNTI3LjggNTI3LjggNTgzLjMgNTgzLjMgNTgzLjMgNTgzLjMgNzUwIDc1 MCA3NTAgNzUwIDEwNDQuNCAxMDQ0LjQKNzkxLjcgNzc3LjhdCj4+CmVuZG9iago0 NiAwIG9iago8PAovVHlwZS9Gb250Ci9TdWJ0eXBlL1R5cGUxCi9OYW1lL0YxMwov Rm9udERlc2NyaXB0b3IgNDUgMCBSCi9CYXNlRm9udC9JRFlQS0crQ01TWTEwCi9G aXJzdENoYXIgMzMKL0xhc3RDaGFyIDE5NgovV2lkdGhzWzEwMDAgNTAwIDUwMCAx MDAwIDEwMDAgMTAwMCA3NzcuOCAxMDAwIDEwMDAgNjExLjEgNjExLjEgMTAwMCAx MDAwIDEwMDAgNzc3LjgKMjc1IDEwMDAgNjY2LjcgNjY2LjcgODg4LjkgODg4Ljkg MCAwIDU1NS42IDU1NS42IDY2Ni43IDUwMCA3MjIuMiA3MjIuMiA3NzcuOCA3Nzcu OAo2MTEuMSA3OTguNSA2NTYuOCA1MjYuNSA3NzEuNCA1MjcuOCA3MTguNyA1OTQu OSA4NDQuNSA1NDQuNSA2NzcuOCA3NjIgNjg5LjcgMTIwMC45CjgyMC41IDc5Ni4x IDY5NS42IDgxNi43IDg0Ny41IDYwNS42IDU0NC42IDYyNS44IDYxMi44IDk4Ny44 IDcxMy4zIDY2OC4zIDcyNC43IDY2Ni43CjY2Ni43IDY2Ni43IDY2Ni43IDY2Ni43 IDYxMS4xIDYxMS4xIDQ0NC40IDQ0NC40IDQ0NC40IDQ0NC40IDUwMCA1MDAgMzg4 LjkgMzg4LjkgMjc3LjgKNTAwIDUwMCA2MTEuMSA1MDAgMjc3LjggODMzLjMgNzUw IDgzMy4zIDQxNi43IDY2Ni43IDY2Ni43IDc3Ny44IDc3Ny44IDQ0NC40IDQ0NC40 CjQ0NC40IDYxMS4xIDc3Ny44IDc3Ny44IDc3Ny44IDc3Ny44IDAgMCAwIDAgMCAw IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMAowIDAgMCAwIDAgMCAw IDAgMCAwIDc3Ny44IDI3Ny44IDc3Ny44IDUwMCA3NzcuOCA1MDAgNzc3LjggNzc3 LjggNzc3LjggNzc3LjggMCAwIDc3Ny44Cjc3Ny44IDc3Ny44IDEwMDAgNTAwIDUw MCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3Nzcu OCA3NzcuOCA3NzcuOAo3NzcuOCA3NzcuOCAxMDAwIDEwMDAgNzc3LjggNzc3Ljgg MTAwMCA3NzcuOF0KPj4KZW5kb2JqCjQ3IDAgb2JqCjw8Ci9UeXBlL0VuY29kaW5n Ci9EaWZmZXJlbmNlc1swL0dhbW1hL0RlbHRhL1RoZXRhL0xhbWJkYS9YaS9QaS9T aWdtYS9VcHNpbG9uL1BoaS9Qc2kvT21lZ2EvZmYvZmkvZmwvZmZpL2ZmbC9kb3Rs ZXNzaS9kb3RsZXNzai9ncmF2ZS9hY3V0ZS9jYXJvbi9icmV2ZS9tYWNyb24vcmlu Zy9jZWRpbGxhL2dlcm1hbmRibHMvYWUvb2Uvb3NsYXNoL0FFL09FL09zbGFzaC9z dXBwcmVzcy9leGNsYW0vcXVvdGVkYmxyaWdodC9udW1iZXJzaWduL3N0ZXJsaW5n L3BlcmNlbnQvYW1wZXJzYW5kL3F1b3RlcmlnaHQvcGFyZW5sZWZ0L3BhcmVucmln aHQvYXN0ZXJpc2svcGx1cy9jb21tYS9oeXBoZW4vcGVyaW9kL3NsYXNoL3plcm8v b25lL3R3by90aHJlZS9mb3VyL2ZpdmUvc2l4L3NldmVuL2VpZ2h0L25pbmUvY29s b24vc2VtaWNvbG9uL2V4Y2xhbWRvd24vZXF1YWwvcXVlc3Rpb25kb3duL3F1ZXN0 aW9uL2F0L0EvQi9DL0QvRS9GL0cvSC9JL0ovSy9ML00vTi9PL1AvUS9SL1MvVC9V L1YvVy9YL1kvWi9icmFja2V0bGVmdC9xdW90ZWRibGxlZnQvYnJhY2tldHJpZ2h0 L2NpcmN1bWZsZXgvZG90YWNjZW50L3F1b3RlbGVmdC9hL2IvYy9kL2UvZi9nL2gv aS9qL2svbC9tL24vby9wL3Evci9zL3QvdS92L3cveC95L3ovZW5kYXNoL2VtZGFz aC9odW5nYXJ1bWxhdXQvdGlsZGUvZGllcmVzaXMvR2FtbWEvRGVsdGEvVGhldGEv TGFtYmRhL1hpL1BpL1NpZ21hL1Vwc2lsb24vUGhpL1BzaS9PbWVnYS9mZi9maS9m bC9mZmkvZmZsL2RvdGxlc3NpL2RvdGxlc3NqL2dyYXZlL2FjdXRlL2Nhcm9uL2Jy ZXZlL21hY3Jvbi9yaW5nL2NlZGlsbGEvZ2VybWFuZGJscy9hZS9vZS9vc2xhc2gv QUUvT0UvT3NsYXNoL3N1cHByZXNzL0dhbW1hL0RlbHRhL1RoZXRhL0xhbWJkYS9Y aS9QaS9TaWdtYS9VcHNpbG9uL1BoaS9Qc2kKMTczL09tZWdhL2ZmL2ZpL2ZsL2Zm aS9mZmwvZG90bGVzc2kvZG90bGVzc2ovZ3JhdmUvYWN1dGUvY2Fyb24vYnJldmUv bWFjcm9uL3JpbmcvY2VkaWxsYS9nZXJtYW5kYmxzL2FlL29lL29zbGFzaC9BRS9P RS9Pc2xhc2gvc3VwcHJlc3MvZGllcmVzaXMKMjU1L2RpZXJlc2lzXQo+PgplbmRv YmoKNTAgMCBvYmoKPDwKL0VuY29kaW5nIDQ3IDAgUgovVHlwZS9Gb250Ci9TdWJ0 eXBlL1R5cGUxCi9OYW1lL0YxNAovRm9udERlc2NyaXB0b3IgNDkgMCBSCi9CYXNl Rm9udC9RSkZDR0grQ01USTEwCi9GaXJzdENoYXIgMzMKL0xhc3RDaGFyIDE5Ngov V2lkdGhzWzMwNi43IDUxNC40IDgxNy44IDc2OS4xIDgxNy44IDc2Ni43IDMwNi43 IDQwOC45IDQwOC45IDUxMS4xIDc2Ni43IDMwNi43IDM1Ny44CjMwNi43IDUxMS4x IDUxMS4xIDUxMS4xIDUxMS4xIDUxMS4xIDUxMS4xIDUxMS4xIDUxMS4xIDUxMS4x IDUxMS4xIDUxMS4xIDMwNi43IDMwNi43CjMwNi43IDc2Ni43IDUxMS4xIDUxMS4x IDc2Ni43IDc0My4zIDcwMy45IDcxNS42IDc1NSA2NzguMyA2NTIuOCA3NzMuNiA3 NDMuMyAzODUuNgo1MjUgNzY4LjkgNjI3LjIgODk2LjcgNzQzLjMgNzY2LjcgNjc4 LjMgNzY2LjcgNzI5LjQgNTYyLjIgNzE1LjYgNzQzLjMgNzQzLjMgOTk4LjkKNzQz LjMgNzQzLjMgNjEzLjMgMzA2LjcgNTE0LjQgMzA2LjcgNTExLjEgMzA2LjcgMzA2 LjcgNTExLjEgNDYwIDQ2MCA1MTEuMSA0NjAgMzA2LjcKNDYwIDUxMS4xIDMwNi43 IDMwNi43IDQ2MCAyNTUuNiA4MTcuOCA1NjIuMiA1MTEuMSA1MTEuMSA0NjAgNDIx LjcgNDA4LjkgMzMyLjIgNTM2LjcKNDYwIDY2NC40IDQ2My45IDQ4NS42IDQwOC45 IDUxMS4xIDEwMjIuMiA1MTEuMSA1MTEuMSA1MTEuMSAwIDAgMCAwIDAgMCAwIDAg MCAwIDAKMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg MCA2MjcuMiA4MTcuOCA3NjYuNyA2OTIuMiA2NjQuNCA3NDMuMyA3MTUuNgo3NjYu NyA3MTUuNiA3NjYuNyAwIDAgNzE1LjYgNjEzLjMgNTYyLjIgNTg3LjggODgxLjcg ODk0LjQgMzA2LjcgMzMyLjIgNTExLjEgNTExLjEKNTExLjEgNTExLjEgNTExLjEg ODMxLjMgNDYwIDUzNi43IDcxNS42IDcxNS42IDUxMS4xIDg4Mi44IDk4NSA3NjYu NyAyNTUuNiA1MTEuMV0KPj4KZW5kb2JqCjUzIDAgb2JqCjw8Ci9UeXBlL0ZvbnQK L1N1YnR5cGUvVHlwZTEKL05hbWUvRjE1Ci9Gb250RGVzY3JpcHRvciA1MiAwIFIK L0Jhc2VGb250L1ZDTllMRCtDTVNZNgovRmlyc3RDaGFyIDMzCi9MYXN0Q2hhciAx OTYKL1dpZHRoc1sxMjIyLjIgNjM4LjkgNjM4LjkgMTIyMi4yIDEyMjIuMiAxMjIy LjIgOTYzIDEyMjIuMiAxMjIyLjIgNzY4LjUgNzY4LjUgMTIyMi4yCjEyMjIuMiAx MjIyLjIgOTYzIDM2NS43IDEyMjIuMiA4MzMuMyA4MzMuMyAxMDkyLjYgMTA5Mi42 IDAgMCA3MDMuNyA3MDMuNyA4MzMuMyA2MzguOQo4OTguMSA4OTguMSA5NjMgOTYz IDc2OC41IDk4OS45IDgxMy4zIDY3OC40IDk2MS4yIDY3MS4zIDg3OS45IDc0Ni43 IDEwNTkuMyA3MDkuMwo4NDYuMyA5MzguOCA4NTQuNSAxNDI3LjIgMTAwNS43IDk3 MyA4NzguNCAxMDA4LjMgMTA2MS40IDc2MiA3MTEuMyA3NzQuNCA3ODUuMiAxMjIy LjcKODgzLjcgODIzLjkgODg0IDgzMy4zIDgzMy4zIDgzMy4zIDgzMy4zIDgzMy4z IDc2OC41IDc2OC41IDU3NC4xIDU3NC4xIDU3NC4xIDU3NC4xCjYzOC45IDYzOC45 IDUwOS4zIDUwOS4zIDM3OS42IDYzOC45IDYzOC45IDc2OC41IDYzOC45IDM3OS42 IDEwMDAgOTI0LjEgMTAyNy44IDU0MS43CjgzMy4zIDgzMy4zIDk2MyA5NjMgNTc0 LjEgNTc0LjEgNTc0LjEgNzY4LjUgOTYzIDk2MyA5NjMgOTYzIDAgMCAwIDAgMCAw IDAgMCAwIDAgMAowIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw IDAgMCAwIDk2MyAzNzkuNiA5NjMgNjM4LjkgOTYzIDYzOC45IDk2MyA5NjMKOTYz IDk2MyAwIDAgOTYzIDk2MyA5NjMgMTIyMi4yIDYzOC45IDYzOC45IDk2MyA5NjMg OTYzIDk2MyA5NjMgOTYzIDk2MyA5NjMgOTYzIDk2Mwo5NjMgOTYzIDEyMjIuMiAx MjIyLjIgOTYzIDk2MyAxMjIyLjIgOTYzXQo+PgplbmRvYmoKNTYgMCBvYmoKPDwK L0VuY29kaW5nIDcgMCBSCi9UeXBlL0ZvbnQKL1N1YnR5cGUvVHlwZTEKL05hbWUv RjE2Ci9Gb250RGVzY3JpcHRvciA1NSAwIFIKL0Jhc2VGb250L1JLQ0ROQytDTVI4 Ci9GaXJzdENoYXIgMzMKL0xhc3RDaGFyIDE5NgovV2lkdGhzWzI5NS4xIDUzMS4z IDg4NS40IDUzMS4zIDg4NS40IDgyNi40IDI5NS4xIDQxMy4yIDQxMy4yIDUzMS4z IDgyNi40IDI5NS4xIDM1NC4yCjI5NS4xIDUzMS4zIDUzMS4zIDUzMS4zIDUzMS4z IDUzMS4zIDUzMS4zIDUzMS4zIDUzMS4zIDUzMS4zIDUzMS4zIDUzMS4zIDI5NS4x IDI5NS4xCjI5NS4xIDgyNi40IDUwMS43IDUwMS43IDgyNi40IDc5NS44IDc1Mi4x IDc2Ny40IDgxMS4xIDcyMi42IDY5My4xIDgzMy41IDc5NS44IDM4Mi42CjU0NS41 IDgyNS40IDY2My42IDk3Mi45IDc5NS44IDgyNi40IDcyMi42IDgyNi40IDc4MS42 IDU5MC4zIDc2Ny40IDc5NS44IDc5NS44IDEwOTEKNzk1LjggNzk1LjggNjQ5LjMg Mjk1LjEgNTMxLjMgMjk1LjEgNTMxLjMgMjk1LjEgMjk1LjEgNTMxLjMgNTkwLjMg NDcyLjIgNTkwLjMgNDcyLjIKMzI0LjcgNTMxLjMgNTkwLjMgMjk1LjEgMzI0Ljcg NTYwLjggMjk1LjEgODg1LjQgNTkwLjMgNTMxLjMgNTkwLjMgNTYwLjggNDE0LjEg NDE5LjEKNDEzLjIgNTkwLjMgNTYwLjggNzY3LjQgNTYwLjggNTYwLjggNDcyLjIg NTMxLjMgMTA2Mi41IDUzMS4zIDUzMS4zIDUzMS4zIDAgMCAwIDAKMCAwIDAgMCAw IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw IDY2My42IDg4NS40IDgyNi40IDczNi44CjcwOC4zIDc5NS44IDc2Ny40IDgyNi40 IDc2Ny40IDgyNi40IDAgMCA3NjcuNCA2MTkuOCA1OTAuMyA1OTAuMyA4ODUuNCA4 ODUuNCAyOTUuMQozMjQuNyA1MzEuMyA1MzEuMyA1MzEuMyA1MzEuMyA1MzEuMyA3 OTUuOCA0NzIuMiA1MzEuMyA3NjcuNCA4MjYuNCA1MzEuMyA5NTguNyAxMDc2LjgK ODI2LjQgMjk1LjEgNTMxLjNdCj4+CmVuZG9iago1OSAwIG9iago8PAovVHlwZS9G b250Ci9TdWJ0eXBlL1R5cGUxCi9OYW1lL0YxNwovRm9udERlc2NyaXB0b3IgNTgg MCBSCi9CYXNlRm9udC9OQldRVkErQ01UVDgKL0ZpcnN0Q2hhciAzMwovTGFzdENo YXIgMTk2Ci9XaWR0aHNbNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMx LjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMKNTMx LjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMx LjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMKNTMxLjMgNTMxLjMgNTMx LjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMx LjMgNTMxLjMgNTMxLjMgNTMxLjMKNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMx LjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMx LjMgNTMxLjMKNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMx LjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMKNTMx LjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMx LjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMKNTMxLjMgNTMxLjMgNTMx LjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMx LjMgNTMxLjMgMCAwIDAgMCAwCjAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgNTMxLjMgNTMxLjMgNTMxLjMgNTMx LjMgNTMxLjMKNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgNTMxLjMgMCAwIDUzMS4z IDUzMS4zIDUzMS4zIDUzMS4zIDUzMS4zIDUzMS4zIDUzMS4zIDUzMS4zCjUzMS4z IDUzMS4zIDUzMS4zIDUzMS4zIDUzMS4zIDUzMS4zIDUzMS4zIDUzMS4zIDUzMS4z IDUzMS4zIDUzMS4zIDUzMS4zIDUzMS4zIDUzMS4zCjUzMS4zIDUzMS4zXQo+Pgpl bmRvYmoKNjEgMCBvYmoKPDwKL0ZpbHRlclsvRmxhdGVEZWNvZGVdCi9MZW5ndGgg MjM1MQo+PgpzdHJlYW0KeNqlWVtv3LgVfu+vUN80WA9XvEiksgjQLXZTpEG7i9gF CsR5kGdkm8WMNJU0sbO/vufwkBJHmtix+zLi7ZCH37lzkoxlWXKXuM/fkr9e/fiO J1wzwZOr24Rzw6RI1jxTLDfJ1S+f0t+a1VpmIh3ua2zwtK//e6ybTU3DP2e6zLOM OlWzpYYd+tXnq78nPGdcJmvBWcndbpt2vxJFemObamg7W+1oT9usRJ4OdXfo6qEa bNs4+h/fCWCJlTnyJiQrDOxlmCHOfmZADJu9Wxmedm1vG0tEMtGs1EiTwzV4opiU juJaKLXYV0m86npcdOm3/Qg87rbnttR6uWXy65UDUyWGlYXjl0smNDCcccZL4vim H7pqM8QE+UjAs4wpJOAFoxu+B+yFyQB722OLp4fqAI0yrTuaeVgJndbUBuz6GoA0 6UADfbuviczBbk5gdwuG7rgZjkBHy4j6uK+7aqi3tOYGh746jtdwI+O0w3EMDDql UFkZKQX2RqXADsjWfce1l7u2arDNs/TXZvN1s2vxUiatt7aiJe0tfQEAuN9Q3+F9 VWbSS39Of+E4yoiZ3DFD2lfodFuDJu0tnoHd3u4PO9dGBP5Tb0i/3Fy1b5s7agJ/ faAYcQFdyCVPr+7rhjZ4QDjcssJprU6/rFAe/TpmyKNj7wBHYBx1+943QAKwMbXd NePJu7pB7C3yhP3bY+O4jZcX0/KA+gV0VUEA4Piha5HNL8Trkq/7CjREKrBThEHJ tGn9wNZei7you5qAt9XN7ivOcFD0XDd2qBkZRJFwsAGFersWipUJ2AwrySb4as05 sHHlXIbOY5cBvaAdkRHopPRGYDgrwAYkeA5JRuB2UbJMD8eO9KTt/YgDRGUeEFxS eU3qqI/3w+/Q0sJNu9uB/GmQ4ILR+vGwa60f7esvzqY6NBIccLajY9shWwCO0RZ4 UD8AHQ9H0sGiRUmpHIdSSu89oRGgeDNdPykKxsEDyWJ0FJxANiMsgLABIeLcTzSn ozkl/NxL6aSfE6+kk6/kM3/leeaVdFzNCd33eUbFSwnDiUq+klDrV7LKVTanBBMt 1feIPy9eS6q0eClpYNho9dpTeSEWqkAG+R06m6n8pbSj3mpevvZcnmmzkJBznd+h hpk05knaNYe49QY/BX2w96SHNZLxycEKU8bhRJRl+nBvN+j57ml2SjWgbXeYQpRZ 2tW3LheBJjpZ/FY9fa/TBVQa7sQ9z7c0WyaFz6wUM8AXZ+ROmzkcOUIZZq9Xc2p5 jppn0e6jlK6F9oLgfJwvmAiSyuZHaybz6egonOE1x2QHgcFkBwc/Xe4+X68oSVkL TAMxUFD4dUEXQsG2djEVEy3s3mBijMFWiilcxAkBxpOQEJzINgJYQlCGWKyEcNea YI5xhIDlgVhIyKFIk49LwiLoG8APkU6nbz2MIhIxy7Gn6K7/notpnTHpctwQ3s9K Sj4jKXEqKRPzKF1qL76pYwa1RJXx4SaSdGaScfpxTu4gUIzz8ypqMH6vx/m3BNJ1 CMtQCo22y7HoCJdU/Amf/4wc5gLIWa6ewD+jImqE3y7gF5jjv8hQIvURLAdLMawo ngAQCjk+HY5aDIVP8pCIonTcKQF9k+xhO4PFVhjYJZczXzZRlL5kWkKtUShzpPU5 pJ/Kgh6XPqEMnuyH56U3Q0CEGtYu4I3g/2GhFqDZgIcMKeebOVOFQDiCcXNSj5Bl Am0OUOXg/8VYXsq8TD99+EyNj4y+H+r9gVquknA1Dvh+dFS5ofJhzpjQ+HDwjGc/ tbpIBpPJOeeY+2oRG64QOVL56tNrmmj9MVxNMsmZCUK5WeU8rXZVs8FGjT/IP1S5 bbfKM/C+nZ8QYWJwE25p3S941MyE1OS+cqCgV57hAIWLwnVRXXDGS2g1ao7zEByL 4QKqMFe8bF3ZWZTCl52K51REw5JPHz5+pha+fuD3Q9MebvcVRWpX98ByKm1g9p9+ 1cf2BgqYnjqTUI0TKlKcE6oUavJS3+lKdQSFNIxeC1QU+EyIbkZOstVOtgXJFibO ybZgOhiVE2kLOoqf3kbvRZGXLFkWYHZVWHywjd4VZpcuxBR+lorKdPAlt21Hm05p 0pxlpZgONuFfP2S6q5yW3dU9FpyZSPvjfo/yolQhl0ycqE+LqzeopZtj54xDO20g S6ypgYlEhxtiJ4ZlfgHOJdNBpBeUbNC7CSQXqAMXlHdU/RlcMnGKS+RkDfoWmvxz 0OnzGYrWKJd1jozoFySCJ4fxckrHhJaLWxpM2EBhZOzX4wPAr8vgBptZFMo4ehHg kDOBUUgIiKljPwShKA8PBBClCv6t5HWMJLv2TtDjqGHIEngL764BOCGW0QSCdTYl RAVf1gmTy4fNFxGFF6wAzWJKfSvKKZ2M00+xfr0KCUecMemTim1ZcPjAk0tgiHzF AziqenFNEyWmz1zzZWmrjrJWqbR/9TJpRZ9N6x+76PWzPfa0LDwlWe+Wwczd+PQo h9TOtyizWE2jHO0JzHFfV379H3XX+kEyPBjr99XOPyspSQ/wo/1X+8PODsetKwi0 f1DScXEmZREKBp1Wx+G+dX5CRg+hW+qPq96t0MkeO+scLtDXj4eq6eFSP2Gf6pgT ir7aTy+J05tXdZhiMndR+yu1FokDD5vBZGM39bgsADfgUkdtwgslLyeaTUsnoWps LL5Pwq2XJXE+ef0XRyxIW2eJCLDixbklLuwtfUl0ON3svo5T82RA5AaroWeSgaD0 bxdJVYb/XtDkfmHWLo0YU2mx8JIFJprrccEzuS/3waBdBEQBEan4VkD8v9jPF+yf PH4UEfc+LD3Y4f6M3xgj2n6BAkA/MjGVM/osk5ydRoLguIz7i2Gf8LLEhMb3QyDg OblI9IXCPa3kRmMZdPqPEy/Gv5CUM3GBQQPX/Kux9B9CBzEb1Dtf4V8OlTdhi1+T XoLKVxf0FP+LPVTdYPf+z552thKt44+aOv+ohnpfDegrTBps2c+9byCHiSbd7ln6 u3WuSmIiasMuzdq/eucuPSkxZLi0pt7tbGOdQ1OpUr4BF8gy3x45h/b7oQJzMTq9 8KDoERTMTHiQxKdb+j/vgv5+6eivuM9/OTa2t8wOC0g5pN0ipGZskYqCHWb4wp7h 88BYJoKk//Q//+AJAAplbmRzdHJlYW0KZW5kb2JqCjYzIDAgb2JqCjw8Ci9GMSAx MCAwIFIKL0YyIDEzIDAgUgovRjMgMTYgMCBSCi9GNCAxOSAwIFIKL0Y1IDIyIDAg UgovRjYgMjUgMCBSCi9GNyAyOCAwIFIKL0Y4IDMxIDAgUgovRjkgMzQgMCBSCi9G MTAgMzcgMCBSCi9GMTEgNDAgMCBSCi9GMTIgNDMgMCBSCi9GMTMgNDYgMCBSCi9G MTQgNTAgMCBSCi9GMTUgNTMgMCBSCi9GMTYgNTYgMCBSCi9GMTcgNTkgMCBSCj4+ CmVuZG9iago2IDAgb2JqCjw8Ci9Qcm9jU2V0Wy9QREYvVGV4dC9JbWFnZUNdCi9G b250IDYzIDAgUgo+PgplbmRvYmoKNjggMCBvYmoKPDwKL0VuY29kaW5nIDcgMCBS Ci9UeXBlL0ZvbnQKL1N1YnR5cGUvVHlwZTEKL05hbWUvRjE4Ci9Gb250RGVzY3Jp cHRvciA2NyAwIFIKL0Jhc2VGb250L0RXQklHUStDTUJYMTAKL0ZpcnN0Q2hhciAz MwovTGFzdENoYXIgMTk2Ci9XaWR0aHNbMzUwIDYwMi44IDk1OC4zIDU3NSA5NTgu MyA4OTQuNCAzMTkuNCA0NDcuMiA0NDcuMiA1NzUgODk0LjQgMzE5LjQgMzgzLjMg MzE5LjQKNTc1IDU3NSA1NzUgNTc1IDU3NSA1NzUgNTc1IDU3NSA1NzUgNTc1IDU3 NSAzMTkuNCAzMTkuNCAzNTAgODk0LjQgNTQzLjEgNTQzLjEgODk0LjQKODY5LjQg ODE4LjEgODMwLjYgODgxLjkgNzU1LjYgNzIzLjYgOTA0LjIgOTAwIDQzNi4xIDU5 NC40IDkwMS40IDY5MS43IDEwOTEuNyA5MDAKODYzLjkgNzg2LjEgODYzLjkgODYy LjUgNjM4LjkgODAwIDg4NC43IDg2OS40IDExODguOSA4NjkuNCA4NjkuNCA3MDIu OCAzMTkuNCA2MDIuOAozMTkuNCA1NzUgMzE5LjQgMzE5LjQgNTU5IDYzOC45IDUx MS4xIDYzOC45IDUyNy4xIDM1MS40IDU3NSA2MzguOSAzMTkuNCAzNTEuNCA2MDYu OQozMTkuNCA5NTguMyA2MzguOSA1NzUgNjM4LjkgNjA2LjkgNDczLjYgNDUzLjYg NDQ3LjIgNjM4LjkgNjA2LjkgODMwLjYgNjA2LjkgNjA2LjkKNTExLjEgNTc1IDEx NTAgNTc1IDU3NSA1NzUgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw IDAgMCAwIDAgMCAwIDAgMCAwIDAKMCAwIDAgMCAwIDAgNjkxLjcgOTU4LjMgODk0 LjQgODA1LjYgNzY2LjcgOTAwIDgzMC42IDg5NC40IDgzMC42IDg5NC40IDAgMCA4 MzAuNiA2NzAuOAo2MzguOSA2MzguOSA5NTguMyA5NTguMyAzMTkuNCAzNTEuNCA1 NzUgNTc1IDU3NSA1NzUgNTc1IDg2OS40IDUxMS4xIDU5Ny4yIDgzMC42IDg5NC40 CjU3NSAxMDQxLjcgMTE2OS40IDg5NC40IDMxOS40IDU3NV0KPj4KZW5kb2JqCjcx IDAgb2JqCjw8Ci9UeXBlL0ZvbnQKL1N1YnR5cGUvVHlwZTEKL05hbWUvRjE5Ci9G b250RGVzY3JpcHRvciA3MCAwIFIKL0Jhc2VGb250L1ZTUkxHSytNU0JNMTAKL0Zp cnN0Q2hhciAwCi9MYXN0Q2hhciAxMjcKL1dpZHRoc1s3NzcuOCA3NzcuOCA3Nzcu OCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3Nzcu OCA3NzcuOCA3NzcuOAo3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3Nzcu OCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3Nzcu OAo3NzcuOCA3NzcuOCA3NzcuOCA4ODguOSA4ODguOSA3NzcuOCA3NzcuOCA3Nzcu OCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOAo3NzcuOCA3Nzcu OCA3NzcuOCA1MDAgMjc3LjggMjIyLjIgMzg4LjkgNjExLjEgNzIyLjIgNjExLjEg NzIyLjIgNzc3LjggNzc3LjggNzc3LjgKNzc3LjggMTAwMCAxMDAwIDEwMDAgMTAw MCAxMDAwIDEwMDAgNzc3LjggNzc3LjggNTU1LjYgNzIyLjIgNjY2LjcgNzIyLjIg NzIyLjIgNjY2LjcKNjExLjEgNzc3LjggNzc3LjggMzg4LjkgNTAwIDc3Ny44IDY2 Ni43IDk0NC40IDcyMi4yIDc3Ny44IDYxMS4xIDc3Ny44IDcyMi4yIDU1NS42CjY2 Ni43IDcyMi4yIDcyMi4yIDEwMDAgNzIyLjIgNzIyLjIgNjY2LjcgMTg4OC45IDIz MzMuMyAxODg4LjkgMjMzMy4zIDAgNTU1LjYgNjM4LjkKMCAwIDAgMCA3MjIuMiA1 NTUuNiA3NzcuOCA2NjYuNyA0NDQuNCA2NjYuNyA3NzcuOCA3NzcuOCA3NzcuOCA3 NzcuOCAyMjIuMiAzODguOSA3NzcuOAo3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3 NzcuOCAxMDAwIDEwMDAgNzc3LjggNjY2LjcgNTU1LjYgNTQwLjMgNTQwLjMgNDI5 LjJdCj4+CmVuZG9iago3MiAwIG9iago8PAovRmlsdGVyWy9GbGF0ZURlY29kZV0K L0xlbmd0aCAyOTY3Cj4+CnN0cmVhbQp42p1ZS3PbyBG+51ewfEjAiggDg8GrcrJr Y2e31rFLVuWwog4jcighCwI0BrCs/Pr0awCQkDZV4QUzPT2vnu6vH1xFYRStHlb0 +bh6f/P2Q74qwzJb3RxWRRxm+WqTqTBPVzc/3QY/N+uNzvNARVGMrSL4ZLodt361 /H3fDcK1t1uV5o3d80D/KBzbbbNWeTAc16oI7jtTM7vpqv7xaPtq94b5Dm3Hjfuq Md0zt53drO9uflltYjilgk8clny4b4NtdtatN6rIgnvc4RnbadDZU212VfPAQ2a/ r/qqbbj3BJvKFNmF2/1a4aCzvEbV7OrBVd9xWbv5fH3FZNPsecKRblT31amudoaP GM1PxzsmaT4eLUmzwD1Wh37zZ1gQ+yCaoG+Zi6SFDTP0j23n/sIMvzctTn+q7f7B 8hrCWQRtUz/znM4ebCfSwD5vXQSXcl+ccnoDnKCDnaGZKRwarhlYph7aAe+NdF5Z +0Okwde6NY3w7U1v7o2Tkduv9V243qRREXxYFyrA103SZJoKrH5fUR16J3e1PKez +C5pDA1+duyp4F2kC/j9DXpef5B8GDrYpOMZp6498WW6viJ1oWVkBVO79nxlJ0un eVEqfPasCN5leZyUZ+fK6Fw4kEbAlWQZdpKypE7OnWK7RgkoHfyD7lwGu7b5t931 Q4dWkmQRSMP03NoGuP7bD8VojyrOwqyEHXGrA4+WqywscxzVYQHGGoe6pPGGxydr TkOdrMbh7fpyfkLzVVgW8/lxNNsADI4336o8kvF4HM9Clch4fLl5EUbpalx7BwqE qtg7loKoQIkKmnkFxUcMbMcD7YGtXqWAVNlcFfbV98qBgQA8xDHy0ZfBBhojdsQq sD9OpnFkiHNedSmJOEtCHYNAMnUmimR2nThdbUaGrdKLG8dRqAsvDnj1DCDuhk+l Zs/OR3hCaRi6Q4SDqP3dkZATuAUxGPYKFUZ6LoBrMBoYfzQdqlCigq/c71qW4EnU vcbRBJAMv95igeDMUVrPKH1rupC2+vsNuAPvA+K0CBPW8V9NbzvQah15lCqTmR1i b6m6ZRLm6g80t0DNTV9VXLXyo3+gt+Xrepv8D71Vr+ttUqzGtXftkSAVrkg4XQKK DR0TTN9bUl9B+jJmUZfJJCV4WVJ7+6OX2YeJg59X52Fy9rxWQNt2RrwWAFArMoz1 eNIMJuZyDfvD7GAHVRbBaZ1GQVs/t8cKXAfgGlzg4o45zPQCIr+mgiq0oTRZe2AF PAavQmqFuJiVglfUqmoE0Tzi+yIJ/G4jzdEhI2cHZujduNZhPofQWq6pwV/dvv8n uowiLjj0ANLJAGzvhtqQCpYRCZl5P1yvYzCff90hIQ/AhdNA5WRmR67zO4ILWRZ5 WTj9JcqmSZjm/y/Klqgr4zDvLXai2QMvAQ4HXnhRfGnE7JkynJwd9u3GfRtMhw9L 0YnmR0ZKHGA0BZ3a1i0SH5h4nPFdKAMNTFHQVmURvWiBTh/Z+749Xt5SgZrmXmce DcmVAyxw3s4eq433sRVEE3BHBm+eNVduuIjgEhjUxUMkcPtM9miWhhl7T/hX2Eop BNkFbCmlw5iYPqOdpqBIpjpyAxUHv/0jvlIag7oaf2rhcMLR8vcB478MhZ7GOYIB 3hsdTN92FQkeyPZ7tWckxCXRwHkT6yw3D2Cb7pUY1luJLlOIDTnUI7ki4b5Cn4ER EfYzH5P1xEWBqW2Yk9UNWA4ET9ja1cY5KzPnmEKmgKvj1Z4v5o+wvojA3kV5mUbR SzJPS8/0MwHg6CYKMG7Xc8vxVbjDp2de1w/7ZyaP0+bepZgCaOA2soJpTP0MwEDa RLCHxtVWjMhIywRsC9BU+3T1ygNwQF+SdsBMBgvXVw8gKByQu6gSYhXD/hvbuDTN wogGCQ+2IcAmm4D+YWj4vpdgo3IElDOwmXu+UnvPtXCpCXpNHvyxnDjGids1RqBR OuKfnKnw0A2nq8RZVHL6pu1fQCOdoDOcQfW+gjgls4xETV+Z+1ryGone7cJqUwyc /I3abrELRLiRv9VPm9eWSZLJZUNAQPhx+/XuJWUs07BgBODgC0Lx+dtoiNP92zge prAw85gNjWOLSostMPkj+SZou7bmbHDPqxxbMse9rWWdShiPBlZ6LWmFQVZaVSTB 6ZE0G7IgxwRD+gUNL2k2XC9pHPEiQm+NUQgnpADCA0eB7MRnV8RBQew1p3S0E386 I4kStF11PNUvWL74LVwDDKSiJCuP4Tk538oxxHS9AXOVJJktJseolxELfEy8q+yY AtAYWjI2xkwTVwKBnwaCKBz6NmComwW/0+VzDrCQzfC4nJhIHFHjDZ/XcJkXckg4 1jOrvVzFiwPhhD9NtRMDN+75eOpbSoyxP6YSYlx+sVIuUpazi9AWzb6me8DI4EZc kAt2sm29WeaUDxZydUocs0gHnxHwCg+pRT7GlB2mOXRTALnyXB2Rr7ZmT9sm4OUp egVi08pyM1uj/kxhsEuKiBMHBw67fl5KE47hwPFxHgvmuN0ODZkIJPagrfaNkDnV JoP9eMWN6zu83cJ0IWsOU86vru1OtAVfPs0SsJtGvAD2pEaCnfRCuWn4dKorPFia 6TNTIteAHL1la2kqcDROaC1PINzMzhacwvVLe2aBgrOZBNpY5+YO6AIqkGC6ilUC O4cOAgtybmd4kIBfppIJuuUeYAO80k7m377/9OWK57z/dH3FxGvBw7Nn+jj0PcgO oUnn8AR33NhbxrK6ZcdJoKYztAMclqgVojnCKhyBsO6RM4E983C1TmN24wRbtQdR aGy3rA0atKGqsbwGlvmG15LkPrpIA/rR+s4ERrZlHClaFFEFCkmjX/YBBI4dZmNI QClj7lBJ6Wd03cRTLf2RytIw9YGuaSrX9uTu2hOVqlTK3kTgXbjn8QSLIonnJnXh zTIdep8IRq5VSXGTKsqZlquiAGRxHK/7y2IDhC00sEsOGJm7b5mMuuKZ2eFP8wvM FCEXIGAq5nLm+9DJZrd5xBIFmiwGCNQwXEw4gw8gz10s9sfwh7hvRTXffshWsvgB Xx9joUIKJvEa9gXxfliDV+MkO9dTFJvkKUaxSTSLYpHhfp3EFBtCW0LUCVleqG3r HJI9PQWrlNFiGIStKUaFpHaMUWHAV7b9BGkc5JzR7JwZaxgRlwlDgrn8PYJKgLG9 8wtSDXDa9BJrMinWUtESpN2OuRe9OhZuBY65R37Sl1qRMGU6V5yyc9zALA3z+Asj 9Sx3vuIs3nsxYJXM5Ptshuke4GXExb/ofY2oELtOUibyMqAgl/kJVrXGqD9JZrWr KTGA3jwnASueQmXULYgDS69brF1gxl9m+TR5uAQLDGBJgIQPHabNREJLpxIIKJeU QBJfSXlVtVIdY81r+t9k9hcIF0b4mOUEBNEIBL8tSo5lWEzVV50sJsfRVJ79bVGM jEOfSJgFxpX49w4P7qgoICWExSJlGPkdqLCRU6CEn6GhaksONkOivMJUV7NWIXW5 aQznHVOBE2471iUuttVFWLy86zw9WCG+h6q4iEka0Esuo2Z4SC79SoyPObytKVyH 0XkVA/v4yMQy9EyQQljFOo3hWKmDL1QVw+JYcVEcw7mG67vZ2V9hQB9O/OWax4Vh YHGMi2AONsl1GrxbSA9QK0rmb9bWw3FRI0kg21IX+eNskWTKPNmnPS1ePB3VBtMs DTZGkgMTNfx5qTqIbPRSvsqMDRGb7UZQRTbJJfjPNgIXKyNTiAVeQZ/hnuT2NZWr vTkqyX0SpbkooPBPu5lXArrru+rETcJkYBEFQNLTY+uEcSfBoe0cLw3ho8yTpQ13 GfE6X3gAyjaASLT6T9u89B+gqSlbxUIIOF1UIR1JkYSU2lcuLiXqiyELIxrrtlTZ m1fbziwoDed2OyutlJAWNA9Y+0OiL5BQFSORFAYOMTR7+g8FSSzk6TyrTUHVex1h lR23UIKKf/ovRLDtaQplbmRzdHJlYW0KZW5kb2JqCjczIDAgb2JqCjw8Ci9GNyAy OCAwIFIKL0Y4IDMxIDAgUgovRjkgMzQgMCBSCi9GMTAgMzcgMCBSCi9GMTEgNDAg MCBSCi9GMTMgNDYgMCBSCi9GMTQgNTAgMCBSCi9GNiAyNSAwIFIKL0YxOCA2OCAw IFIKL0YxOSA3MSAwIFIKPj4KZW5kb2JqCjY1IDAgb2JqCjw8Ci9Qcm9jU2V0Wy9Q REYvVGV4dC9JbWFnZUNdCi9Gb250IDczIDAgUgo+PgplbmRvYmoKNzYgMCBvYmoK PDwKL0xlbmd0aCAzMjAKL0ZpbHRlci9GbGF0ZURlY29kZQovTmFtZS9JbTEKL1R5 cGUvWE9iamVjdAovU3VidHlwZS9Gb3JtCi9CQm94WzAgMCAyMzgwIDMzNjhdCi9G b3JtVHlwZSAxCi9NYXRyaXhbMSAwIDAgMSAwIDBdCi9SZXNvdXJjZXM8PAovUHJv Y1NldFsvUERGXQovRXh0R1N0YXRlIDc3IDAgUgo+Pgo+PgpzdHJlYW0KeJyNk0tO xDAMhvc+RU5gnJeTHGPoggWaFSMBUos0YsH1cTSTOJNWCHXjfHX8/HM1hM6VmIOh +o2Htw2u8PQczPs3nMQk40JGl6LZoP5fwRJZzPbBbj4rfMCL+YJX49BHR9kkpMjO m3O3LmDRJqZgfsCaT0gxYS5OYhAGX/OU4tH28wqLxDtLvgtEKTVRNNGh4+zF92Zx J2snpaCnkmuVEs8XP5AFqm3JDpEaad56T8nSo9vAtUO5173upHo1W6M3MnY1x9dY o1fARMGyTCs6hyx7qlNgmfrWiXYWuWByfEC0C7aMidMB0bzzVmoljWn+TAGL14pW JX0fRTqnmA+I5r9tfD4/KuB/itrPaK561NMw26Ysne2dDJPcKaurYah8VlEj2k2z 9uQv7TVrr/QD0nud+6ovdJGXfYJfkOvKyAplbmRzdHJlYW0KZW5kb2JqCjc3IDAg b2JqCjw8Ci9SNCA3OCAwIFIKPj4KZW5kb2JqCjc4IDAgb2JqCjw8Ci9UeXBlL0V4 dEdTdGF0ZQovTmFtZS9SNAovVFIvSWRlbnRpdHkKPj4KZW5kb2JqCjc5IDAgb2Jq Cjw8Ci9GaWx0ZXJbL0ZsYXRlRGVjb2RlXQovTGVuZ3RoIDMyOTgKPj4Kc3RyZWFt CnjavVrdj9y2EX/vX7Fv0QJeRqRIUYyRBx9StynQwG0ObYw7P8i7ujvF2tVZ0tZx //rOcEiJErWb60MLHE4USZHD+fjNB3eTsjTdPG7s40+bm9tv33K5Mczkm9uHTc6Z VptdLvBx+8NdUnZblSbVVomk3H64/cu3b/U4WXAms01q59X9dpfBzOGposZpK3Ry Pm5FkXzc7qBddTTQPtCzHtwn+6pperbdSaOSt9tCJC3OlGZa61jWJ2odqnuh9Kke 6vbkPi9PB2p0VX9uxkXb077qTvXpEane7IjWHefM0MGeLVFt83Ur8qQ91qcWOvKk wu8zmXxB8nH7TMDCD5Z46B5afGbJ3c8fmF34j7fAwk3BWa43uyJnOa3+Bo6jdPJc dkO9PzfARfven4kX+6bse+pCdkhV0GGxIxrTeBgk51/IzOo37Mst/QXRr0f6taXf fdLX/bBYCDexQgxEvuPQEnPWIFs7K/Nmu1M8aaqm3cLzscP/5XGpCaA2sGK6ZOyc sFdAQyq8CCuUWoHKAYNfsQ3kYfsLnrKljqYcgH8ohsIAM4ennj4ansqBWue+osap 7YYnat4jp1DhhnpH0if6giPuy+Z+C7O1cvqjQfRlP1DrPnlqu/rfxPVhmnoGxSu7 rzSpH6pnPFNW5NMaNX1SdX21H+ij9tR8dTu55UEKdUdN2ObR6rYjBKlNidDcElr9 NnTVsR6IS0WWgKEUMPn2qcKTS609X7BZdq5v3x6PtLF9K5sG+S11saoCQuTMeEs+ Pz+jkEHjl+ZeMKXcJHtgSWeJlssMywo3sWm/oO1Ikzq1AiEt1pWKGeOmk1GB9aes UKHA/lkPT+0ZGChzBYtaC8lzUmzoeaxOVVc2yKcctUnmkwnjOJjU+VjRN6Q82Es2 B114ZjQnS2rudAIHQO29SvoxZDe1aPORB15wl/FFpgrUBjABmxqVxT7vk5R4Uow8 MRIbxJPXEcMm2E3vt6AQOZz2bf14ttJP84TTuofqud5bCICXkoYAkVAZmvaxAzO2 I2tIglOfSgs6I4QaEKsJjwjahqty2FDiUzu+QaMHnd09O9yvj9VguQcDPEV6jUx+ aoeKupw8oPXQdrTekkqur+Id1+syWKUCYdx6K4Dx6vMZEQ6bhOzSOR3oAIWhhnVY 4cjo2rR1bYAcnfMaNDVzvg0aXYvi/9KTIyGYgO5925yPp350IZ/BHRtjtEC5ptML 52BzwHMB9pBlm/1x8+2PR775od38Dd2OEUyA2xHgroW0J/ZagJvw74A1UqIvwtcF T5HcWEdfEaEj/aFh4Ls7gVwaBm0AOLTiFYVRTJBAbpGFwhjLN5Dm+XQgPE0pLsCh kl6X5GLXmgqYgqSZpoGbBHmf6uqE1A0IgrhuVz1DhFA5gD7Qpx8JL6x+R36wjJDN sNQj4EdEs/EAEqXc2ljpEDnHYnKOgfOTqQHfQE8CImiUzfNT6eKlwW2fjSvx1DDl Tf8hhgXjUTfCk2DsGpzwaMvgw8crG6JvR314qjp3khQfhUMEeOf0APjzPWTt7vQu SOMs1aEI5n4Yna0P+Ao+efm9H0KfjCpsMowGneruh5pmgiYUEh2ogtDCqiKusicg OSDO2Y6Htmkmsy18TAsjJJhJa6GrfYh9tgOKYlVhsd/6ANoP3h661tqjWXMEPFNo +RCt8yvS243jqY1VYFUbVWRkTvC6b1pLzB5J+fSl7h2JwF9nEiXG1BiGKxOE4Rm6 KRTavkLGynSSFgc/r/Pf83kWTk6EEBM6SdQHi5QeKEfrzMk68bsxNoS2Y6pz623n pnCe4l+aptig55KHGdfMaKep300AFbLRYVWmlOfkjw+RU2baG8ovSzEAE7wtfB/J MGWK++jKWRjf5EgTjCqGGs+kCS1w+jhnYI3jMEA6h4jDPrR/c2uacUnwGmCZ06Kf ltRqHB+HrQx4SsgL2FyfSL2hyzMbZc+DrAim1acDGN7g3gIgBd6mTG6+bAREMYCX oDU5K/jmuMnSjKXF2NFsfrZSmA47fjGJIea0YFw4bpJSwPbHuuusvgLN9bF8rKjZ RjIsNJOXZAjono14diEOrVnFLMIUHhbUpJFL0QmWzcVuLkj9Uyx1lb9M6oEmLcXO V7BCT6u6Yzg4VdN5mur0SLmUWudgai6agWCFnkoCsQOb/Nevy4UF03q+bvBlIJtf Iwc7ijQ2Pc4yv+gn1Amy/6U+uRl/bbuqnTLtLvaGkgnzAvrfR1/qKcf5NRKc/XIn cErgvRdyG4et3DBrQBfHop3gkILJGS7/70jl10klZ5SNWOHAPoyk87hINMbcWeKc 1v7cdRW4oH4ekafu3bPChru8p10lup3luaVmfHHywAfMktBZDCtTUGxhR2+q8vz5 XFtKtY/pdZb8BFGGki7JF8ndzU8faMDVBDoXZ5z3lfuC2ABzXckH+7y9zbJz8C2e tue+Oh/aXQ+Ji6vMLY0hY4YHpZgw/nDVkCwF9OGhgoQ1GmFcmC8KiOm7wB5sH3f5 Go5WpQ0nnvBNrFfUKESys4cndDQ4050Xm8fSZezCxVcF+hccOfeVI2JoqWeom8ov 5SY9N+VpJfHzgYPkANNdeeobH93olCc/ng5VhS5NQjjT+Dg7AA0hJhN4s+Lp87AM slSxlAnvnm5WsGYcdAqPRJrE1i185QupPtT9vqsGN+xYW1N41NMUmzxwXznky6SK YrRcW487scbaDvC6pMdKiLp0RQYdBtH8Lg4kRiCxcXWBcfWJlr6L4jA9OYc3r8mL xSwySClN+uBIdYWxKbAQGSa8kHIYCiyELJgWYwcFFtO0rEAjxhXvVpAwn5Gk10nK Q5KwDn2y9Qskbz3TmGcOY+2SU7hPwinAnczsEMvGEJSjwkuI3W/oYQWd+Swxi7Jn /CT201wE7H635vU8m8FCAqdnzU66DEJSBoEPyiA0ZhC5zyBwGuVzmGIAQRS+dzQ3 D+fSiSGeSkWYK9nYqcSdx+pmKik5k0p69XQQujyiVij1mZ3ydHRVGl1RxnKx7lQ1 y4D343htS+WZr8PLpHWlj7avrRmqbC0YElPhdA0pRhixMgyXX+SSdsc44+BT4rIm wmxWjoXle8C5HksMVRx8wWEMy81KYKDXAoOXmErMdLCV7BrXwY0GTP8QERlsEhGn mFoEeovQkl/6Mlj17kos9EIdKi6cxkHamh4UZsSPlRPrK3QH8CozbYt5XL0EttUE WrHqpFOQQNmfAtWpD5Tl2VIo9Hh3vAxIVCCIeTzCV+ORbLwkfHAbUJkI9yipIZOH 9ty5KhCYtSxW6gqT+8tykbx5dfPqzTevbr7BV2kNDJ9UusyzqMQIY/3Zxys4wcYx S9CEBHQEzZtYySCd8IAj4vRx5OlVJZuryX9lO9qExoOJgF7xs2N6/GInC4z6fu5i M8WZBiFIrVluc3eAuiIfO5yLHacVOcrs985+E525wHxfYHx72cDG4cucA1WJVlky bhz3jPNxBehfwbLZ/eD1Q+ykSa4hICySIZOuS5F79gsdsZ+nmXVPEiBbaWA/z7i9 CXAdjv3jNFNgGfClqndzgeiXc9DnXX1VxaU9gZdSUQqlAHQy+vzPVCXmfLqj45yu rA90USR8VMtdshBZYvjjg3cQNYjkZ4juVYx1Ip9KAPbGjvP4fklcv18CQp9qG8zg 1R+WyrpqCrD1/Nag6d2PBEJsrMZU9WNXV/ciT79ijfVVBK5cqOmS4Rkiy6XpQszo cX138a7dJ953N2//vuVA8D8++EpBEdz8400ttzcfmiTzrmufEQ9s1FNbTIWojDMe Vk1DamWGFZGdkhBPXqqbov+bim47IRXl3oG6O8hXmc1eQd0hNAZ37ju8uvtp026/ LBYCHOI6XAgAPejwC/lp00LvVyTBjAycpDS5jYXhcagw996jw2uP9rp85Bf+isWq mcmdDkNjcVlk3GURTw705j8ol6wDEUGcOi+ye52YiQEDu1EpcLPmqy/AK0vI6bvx lgutkSvkrz0a6Eog3CK8tyqQ2blFHCc8gKqYU5DzKr99dSK22NNZrVfa/9anoB8X pO63QPn4k4BXNG0lnUY7H4ON96A8go/VwXUC3F7a//QAt/X7vHY80ODlM2ICfeOY MNtZMZ6/qNwPJqfjwr1dfF7OnPDWljNf7CN4dODZ1VtUO87FpRIXYPAYCX9Pnie9 Qvj7lYAYUpprhBcB3el1uq2U7C0gyqhvj1V0bRlc3KwyUUa0FJeY6HxffCQsl4po ncDXKCzGTwsJ4tvDCjJn5v9wAbvOztf+CtUwqWb2Xc8sfAO6DyLc5SnYTBHcoih9 BdaWaW86kWwRXa4hOlaKlRHo9QnRi/E9AHScFRCzAuhYzJ7WAUDHAy4WctOChVYA naMgw98ravxJ1+dzxZYiAW+B91BYTqLVMkfWH/4DC3cQhgplbmRzdHJlYW0KZW5k b2JqCjgwIDAgb2JqCjw8Ci9GMTQgNTAgMCBSCi9GNyAyOCAwIFIKL0Y4IDMxIDAg UgovRjEzIDQ2IDAgUgovRjExIDQwIDAgUgovRjkgMzQgMCBSCi9GMTAgMzcgMCBS Ci9GMTggNjggMCBSCj4+CmVuZG9iago4MSAwIG9iago8PAovSW0xIDc2IDAgUgo+ PgplbmRvYmoKNzUgMCBvYmoKPDwKL1Byb2NTZXRbL1BERi9UZXh0L0ltYWdlQ10K L0ZvbnQgODAgMCBSCi9YT2JqZWN0IDgxIDAgUgo+PgplbmRvYmoKODQgMCBvYmoK PDwKL0xlbmd0aCAxMTY0Ci9GaWx0ZXIvRmxhdGVEZWNvZGUKL05hbWUvSW0yCi9U eXBlL1hPYmplY3QKL1N1YnR5cGUvRm9ybQovQkJveFswIDAgMjM4MCAzMzY4XQov Rm9ybVR5cGUgMQovTWF0cml4WzEgMCAwIDEgMCAwXQovUmVzb3VyY2VzPDwKL1By b2NTZXRbL1BERi9UZXh0XQovRXh0R1N0YXRlIDg1IDAgUgovRm9udCA4NiAwIFIK Pj4KPj4Kc3RyZWFtCnic7ZjNjiQ1DIDveYq6sSBhEsf5O7ISDzDQEg/QsLOgLqRZ Drw+TlWcZMrRiL2OmDlM55vE8U9iO/2yWUAsIdNm6+88uO/mxfzwM23Pf5sn/mg3 8g7Q0bab+v+HcRYTlPDqs8x5mM/m1+0v87IR+BDSIXL6eN+3jzcWX7YCCbfbJ+MO 7raEULaA4Lbbbj78+M23tz/NT7ftySCvRpu3f3jqH6bwlFBwc8VBDI6VEoI+Q+S/ D1NKgej9ikRkNf2puAcXViQHSJ7mVYp4j5BSqCRFcA5XxBbAcJCmoSaTZBsghAUY NmABm9yCiC8eyjs1HL+YlDlGFCefCRmysicoOa9I91AOGYItK9LV7qsUGR7KzgHF tCLdQ6KhJkNyIgvsphXpVqRIQLgiw0dX/5xeyxnBIh/UBCGmyF4T4oggstVTBDSJ GQ4X9ZAoMKKm46hjrY5DAy6AS3WNaKfJkCuxWJBugcRUE/HEQ/nm9FjNJCHWC/3l WQneV5trBZURyk7lib5Gk3EI9UHVh1kfeHUp9MXRh0cO84IMlyq3f/ruf5d9pcvq mbuYti8Sqc61Oh/rnK3zuqzSJBXILk33dkFCBCxxBEODkQ2bnzWZYqHjpWKqwn6k tYuofbGd0kjrrM3SprdFV0AYgfecVF4Q68H7PJmuyRDcy4cmw4W6DOlSpdx8eExk AWViDfZOAuc7DHOK1CQRWIplsk2TKbHqVKvTsU7ZQtCBzXm+PooMyVIINRlWyFXV RLzxUP5pTYdL4LmnHOVTyNC7l2JNpFr2XKHAKN+6oOuirxsDIT1Lin6aDMkxWfCE K9JtiMVDjn5BJk9fvCMF9JnlAfL8qQh04gsUbj4jOzrlOuYUxTvzAckW+/BuAoFD brj7BNbQU+oC+rhtwSs64fyX+QCIhOD5Use+RRveTdehkaH1KeBqxb3WN8dujZa4 k3+vRtYgeou8LE0laRC++Y4rYeH/5FoR68uLj2CpvA/vBnNhVf2YwPkoEA4BfXxu UVc0QpwlY81pTQIlftOUvkUb8gLRoZGuYxNwteII4Hs1rYaNn5jgC/X6sA+CGWzh jWwNMz/+kB+0tjZlfNIw9fHduBK4fZgmcGKsCjQBfdy2qAuEJP5bXwCnAOLX9JFl 2g5tzLaJDo0MrU8BVyuOsL1X02rYXHT1+4FWoGqZEUIBMvF8F9LxKiGuteG4zQg5 hz5mVSkD1hZDZvB9JpeHhDaWPeqKRtgm62pxPiVwCimldudtDxnziqZFnyF6i4SL HWfCfLfG1dBJvm3Zk2+rJRf63y+/T3NauV3OcbaaQv9x0lu7ySSpyutJzfy3Jcmk N3Vqd+D1pLSeJNnq9aR0TiJIPIhcWS9O3QWMxkdUW5De9vZNFRntM1KEEvOCDMk9 /V/AaJ9kzYL09unq8UFGWyqh02Ssuvjm7Lm+/ptKu2GCfH5NWb+l9NwuboFP+Hb7 zXz4WFHgTMU/2/cpQDzx6gvNa7+9L3py3bcvenvd/+s3gn5Qq0f3ordW7bdq0HUP r/t81e1K963J9NJQr5Earyf+/ReCnXWsCmVuZHN0cmVhbQplbmRvYmoKODUgMCBv YmoKPDwKL1I0IDg3IDAgUgo+PgplbmRvYmoKODYgMCBvYmoKPDwKL1I5IDg4IDAg Ugo+PgplbmRvYmoKODcgMCBvYmoKPDwKL1R5cGUvRXh0R1N0YXRlCi9OYW1lL1I0 Ci9UUi9JZGVudGl0eQo+PgplbmRvYmoKODggMCBvYmoKPDwKL1N1YnR5cGUvVHlw ZTEKL0Jhc2VGb250L1RpbWVzLUJvbGRJdGFsaWMKL1R5cGUvRm9udAovTmFtZS9S OQo+PgplbmRvYmoKODkgMCBvYmoKPDwKL0xlbmd0aCA3MzAKL0ZpbHRlci9GbGF0 ZURlY29kZQovTmFtZS9JbTMKL1R5cGUvWE9iamVjdAovU3VidHlwZS9Gb3JtCi9C Qm94WzAgMCAyMzgwIDMzNjhdCi9Gb3JtVHlwZSAxCi9NYXRyaXhbMSAwIDAgMSAw IDBdCi9SZXNvdXJjZXM8PAovUHJvY1NldFsvUERGL1RleHRdCi9FeHRHU3RhdGUg OTAgMCBSCi9Gb250IDkxIDAgUgo+Pgo+PgpzdHJlYW0KeJzdVsuOEzEQvPsrfGNB 2sbtR9s+shIfsBAJ9hxYFjRBWjjw+5Rn/JhMQkAckxwyXanurvJ4PP2sDVmbQ/La lO862B/Us3r9zusvP9U9Lo12whSs0wdV/p9UdEwxpKPrxpnUk/qgv6tn7cmFEOeS q8v9Qd/tUD7rTNHq3aPiGWfNPmpvKOjdQd18fLn7pt7u9D3+/qokWrJRtDOBYoSO ATCZ7LVIIp+CtjmSMxaxo2Ryj/dKQiZ2bjBCIOftqNDjuUVJqAAb8l50K+DYk3Wx t2gxMqqIzmgiW4VjF3v1+EoxcRTj9a9r9fik3quAPcKBtQ0J9zzB20A8mWB1sFAs CLEThRFaEmzHFu9V4ETGpMEo/TmOAj1eWpSMisCDN0H3ChKJs4weNUZGFdEITWMr sHEx379rtVZum0+eGKDDgw3SoQHoljx2jU+GHGfNATod4hhIvOvxXvloKIsMRukf w6hQ49YCGQ1JRWjSrQIE5hRT79FiZFQVnVFVtwLHJuabdp3G5icNB3lExOJRTVCV jOfQf398XpM4Ujl7jknxmASZQXCuX6y0iEh/IOFEkCR/0VRJlhlbN54n5YwFMfyP pHkv5/Mk9oJXkt2Q4vlKF4V30qXFbKTLi1mX4CLJU0QgeF9s1/4wkLo808mqrpBq fDpZr4HUM3xSnB257E6BkbNd0IE0O9OJwZWa6mE6cTUtJ1F9OIbXjqyc1UPvFOma gpShQ84g3Vp/5W2BkSMsFCWeQdbOlt6nyHC2dbV4/Y/ByQbC271Um2enhzI73RZJ XpcfkD+pm7sFNZT0rbPkZ3Aes/DSx751lffmxYoYUGTJXlCf0OOWXZnSCreAFno0 5oiMz4w+9NlNoMy6doiUmaYCEiglGBPLGBswmdgyoCCuC9liDBxcLnkwTCI38ueo lgd5CUuPBFJNjZmMza4XbzH4tX1nNL2twrH+7cR2be7K9rvH9zdE9F1gCmVuZHN0 cmVhbQplbmRvYmoKOTAgMCBvYmoKPDwKL1I0IDkyIDAgUgo+PgplbmRvYmoKOTEg MCBvYmoKPDwKL1I5IDkzIDAgUgo+PgplbmRvYmoKOTIgMCBvYmoKPDwKL1R5cGUv RXh0R1N0YXRlCi9OYW1lL1I0Ci9UUi9JZGVudGl0eQo+PgplbmRvYmoKOTMgMCBv YmoKPDwKL1N1YnR5cGUvVHlwZTEKL0Jhc2VGb250L1RpbWVzLUJvbGRJdGFsaWMK L1R5cGUvRm9udAovTmFtZS9SOQo+PgplbmRvYmoKOTQgMCBvYmoKPDwKL0ZpbHRl clsvRmxhdGVEZWNvZGVdCi9MZW5ndGggMTk4Mwo+PgpzdHJlYW0KeNqtWN2T27YR f+9fwbdSExPGN4hk+hBP4k47fUiTa5uO5QeexLNoS6QsUr5e//rsYgGSEnU346bn GRPiLoDFb79+YMYZ59mHLDz+nH2GgffeSZVx/Jd+CGGY8VkhjGDOZptD9vovB5n9 0GV/z97cvX7rMs+8ze4eMgsKBhSdYtZldz+8y982H86nelVo43L57aqwXuTf089j X5+3XdF/PldJ47gqZJl3+6eVdHl3aNruFQhKlzdDTxrbetMdUA3kfTM0XUvvq3Yb B/QYmn3TfqBx9xDf7erV+7u/wtEKIZg3wcDjvmphd6UUrD3UJ9i03tLv+5W0+ROO ZZgbXi5NZGHRH++ex097ZsqsUByAFhE/lfDLBLfMahBLMEpeoIYbKkBNaw2owTav 3wo9om00Ux42CsfojySfnCE0kyaKi5vI4sECcLhPgFgpnZ/b5vN5hCTCXSa4x9OC 5dHdyhjGFRm+KlXenWCyM3nT9kPVbmrcqbQRQmdvQJj06TmeHnQVPTZVlN2HuVF4 YV3wGmhUPQkF/HERQVMjKkooJsoIy1pqeQ2bYdJGMRecLxaQkmnxwvxCac5KM48x sAP+lqZIxv0LK2nmk6EcTHlFLnnc1aeaVMt5KJTJqF8XgSBYWudPmDkuYvPqehVt mU6a/16swjH5Z8uUAZ95PJQC0x7QL5mnePgXxgN6S6IP9/tFDCuAu3w5hu08ht1V 3MCoRofD87EZdov1S4k5lTC2vBpA2QiII8Pzbhi6w8L/HIOZZgw7iKvFmtJAZv9/ bO7PGxTsCKFhB+YhnAVEA7OWYshGU0LQ6/wxrHTaLpwHM+SzzoNMHWEInqB0Uako XhYWgCBVjueBkp7xcc0VGdf09DxU22hu1+6f4uiBnvyPUWmd93XUmlJe53q9YqvC WDdFj8NK1HYD1e9CKIU5OMuwewTlaZFh4IrRlz+tilLmv6wKqBE/RU2eWeZdzGrp IOOUSekobiSAhDI96pBHjMw3+6rHIxlFZ4TnzK+gcKvghSDAlDZlrMFGPXsMWzKn f985/KgC7c+hEsrb7z4tjmmYE5lMrYhSIBxjV6F5X0Jfxd9Ui8fYgKg1CkN/5pfQ ernJ93X7IWXnLGRBPVWtT4tTe6btmLmO3wrpNFkgTZAqsgDYr68PDaFen5oD9vXr vb1jKoVGe712iXWMZN+gq3guICSt5fkdOh13qFtkB+dDfaoiC+E6P566+319II0H 7IOa25F3AC/iTJVzfCh0Fi1GMWW/zt36pbCFZC5GnZCi0Ef6bv8Fj5DYTui+0P7f vXn78wraQ/7P97HjRIqg89B5wigUocgRTnWo7OF9pElAIvr64RxfUipUp2oDfmj+ S3gFQIA42As8HnfNmDhATvZ1tY2sZOii2ee5QkXCU92f98O3EZ7JyRDqQKqgVAQk T90R6+xEHBWUF8Hk1MEuqqDA8ATaqy1ntAI538PxwbVQFpc12DGRCuc/bvQFN+vD 1stcXC8A1o7t8NeFt6Hg6kxhmQ+cYMkXNLKxJBerQlib1Kb8B7RBY1T7tCj/wDtm y0AQGOln3bWccSmm5LP5i4RBv5TAcuI34pYRSRgtwDBcZIqfCvzHBZjMuUtnzGY6 VvrLibP0H710teLc5EXR8BOv/AbjTNw4FRRXr8ZjhRxAumguimaIrfoIDwk9om4D MbcuJhcMzsdjUEGebZFPw49q2JEwtCAbLkLKligU2HoSzwZJ0y595dXkyv+x5Fx3 GHvZYS5RAII8tpgmWRzqDB6BOANYD6IrF0AyOvFShigMbTHPkNnONqUIKWy7gGNP OALBiC7hjlmFPIPFMh1IUDtUoUgaC6Y+Uet+gKLWnRYBNCvgi/wLkT2a8PFG5MuZ iYEiuJvpJ8vpgvfxRoDrZfaV8+w01713xgBZWpgtimohtA5MaCqtP/6nOhz3daqo Yl5R5wlfBlJr4MIbWe0d9QuODcUGVguJ4+F+ghcezsM1BR84RkUBpf54wqTAJkA3 Vp66jgiJQU2fBEfKCpB0D+RaC1tfMEdIE2n9bYqGAbjMFVhCz0ml+HoyJsQ8V2xK BKmvY8Uxn5z43WKqnIJM3+gFDhSMS0EkIaXxaoyH7Xcdwv3YjmcMrxMJR76j6dU6 r9arOBt68z5KA+AoHy8j4ZcgT6HvRGQ8XKEhIZPKlHLjBUi7kHNhULcbkoSLg6b6 pZ/5WADvbxUxuALJ31nEFp6hABfmaz3jnvOMQ2+PnumbdlPHE0UkNh0FNxSbAJKJ 8Q2iWG3COABNM9foWcIb7rtw0ZvFd/C1C75GwpRY3vwLk6bHOr9fr/DudYtFQcUm IBgSJlgfCuKbao+fd7aU9hAFQA/jj+FU1/3tKhA/EpiyxBp7+dHIezqr5nBDr3rg gjAEnlWvpXFtYG09vaKLBU/qfNoe59L24f3IVGHtU/1Qn+K8jp7vfnmPzB5A/r6l uWkhwtOjt2Zw4spU+QOPNpBMVbOlUaCoIEnfqK6LqoOS7KdrtcgDfjio8b/tdaQo z1I0hxaJN8VAtGEv+loHA6DI4Va2wi37qBU8C0L62lGmqyoae6jTvC8BmT3etYXP /1YPy4SCPuZSI3hznQGWGWgCAs/0zCXK+2wUTx/uoj2Er7bMQkcGHleWU75A1Pzh Nyb6eIIKZW5kc3RyZWFtCmVuZG9iago5NSAwIG9iago8PAovRjcgMjggMCBSCi9G MTQgNTAgMCBSCi9GMTMgNDYgMCBSCi9GOCAzMSAwIFIKL0YxMCAzNyAwIFIKL0Y5 IDM0IDAgUgovRjE4IDY4IDAgUgovRjExIDQwIDAgUgo+PgplbmRvYmoKOTYgMCBv YmoKPDwKL0ltMiA4NCAwIFIKL0ltMyA4OSAwIFIKPj4KZW5kb2JqCjgzIDAgb2Jq Cjw8Ci9Qcm9jU2V0Wy9QREYvVGV4dC9JbWFnZUNdCi9Gb250IDk1IDAgUgovWE9i amVjdCA5NiAwIFIKPj4KZW5kb2JqCjk5IDAgb2JqCjw8Ci9MZW5ndGggMTIxOAov RmlsdGVyL0ZsYXRlRGVjb2RlCi9OYW1lL0ltNAovVHlwZS9YT2JqZWN0Ci9TdWJ0 eXBlL0Zvcm0KL0JCb3hbMCAwIDMyOSAxNTFdCi9Gb3JtVHlwZSAxCi9NYXRyaXhb MSAwIDAgMSAwIDBdCi9SZXNvdXJjZXM8PAovUHJvY1NldFsvUERGL1RleHRdCi9F eHRHU3RhdGUgMTAwIDAgUgovRm9udCAxMDEgMCBSCj4+Cj4+CnN0cmVhbQp4nN1Y TY8kNQy916/IcRdpTL4/rkj8gIGWWKS9QKNlQd1IIw7793lJxY6rayTurTlM55Vj P8fOq1TejCXvW6rR2P6nB9f79rZ9/1M0f/67veKnNTkVKs6Z+9af3zYXQyAbDr/Z 5rZ93X4x/2xvJlJIqQyX6uf1bn64wH0zjYo3ly+bG7gzwTpqpjZy5nLfPvz68fL3 9uPFvMLgry2FRMkWk52jFMFEAJup5mhScIifMQadEkzyhWyU4XVL3lPIC0muUsJ/ ccDjPQImCJDJu2LEgbdkbZUIc4gJTIENhPN0cMzhun35bnPkSoaXb8+Z4dft583b /jAbF5GsT8hMkJApxmq89RTxxAVP6CPjGnopNhlfN9f2lMQCbeKrEw8ynjEwQ5BE 1eI/e4iNUvMrxhxfN2ExkcV79/CYx6jf8ybXS4f+sLFVlZ0gzC2ST7UKd3ivPnmV XaRms86fnEs+LA88XtkJsnMTD5O7xJDshAXnL7zn+jzksW+9p01ulM73YTChZArB 9+wEceCKUvtQKEQTcoE8pD5GElnGiOwhAK0pCw8uysEc7hGG/QCqgzo0I9NrpLrc j1E3nuHn00lO5h7p7xV7tpxGoaJvdMiJgckI25aSW4QjxLcGnVKE/LqkLFzXceWB x5IUI8yMPey8OQJnxQz46aAnUw/09zo9WUqjTM7inee0WjDCe922rqFLC2wbb0El 9Lb2N7GyqF23lYc5XmohyNzr7IG1gGMstWAWbCG8p4eHPPaCPW1yvXQNp5EaVXIM TGbNDgVdMo/zUyha5murlNvKrbYu20k8yFjiLmRnJh5Y5jmG5CYs2IJZ7w4ekhhl e87ERsn4LVgrOQgsGpKPNBO5wSplyl7nPwGPY6jH8fQms95BqsdrdbhxoJyzPsMx sqbBKlkqqn/vgihXPkYqK9xdADbxaOkKUTkB0fd1i0AiatFQizOScqSIl0+PFEKl iqfT0V2AWCxB+3ajmqhBBJfRBLTRpBggeiADIw7HiDYamhi00UR0OPYOq9Lwtqwq HiOHXOa85ApF+EQhSySLAy4jo9r718hyPoHlSWadkP2DZE8l+17AIFZ3QQ5WufdZ 1FYT0VYtdTKHLciI6tNHrDfYlDaxYkQ1U2s9+aSdT+TQvKhMOvTuALSfGX51pXNo llSP/c1nGekDF0rQnaGtpKMep+1GKHLRNmOsWwWCk6mozmTgaHQkoCgpKzSm7Q3x bVvasxaDXyE7cntv5edinBFZQw57AlbWcsI4I8JV1uqMrFkOmyH7dxAJLvV8BFYG shJnRFbioLNrxeTTUVbspKEiYmeEKbE8nAClaqwNZ0TUgvfvGVl7vLjOIr+DrJ3K NxmPwJojGnRCVmzR6jMiOUyhPAGrdfjdcgJkNbkqZ+RYvf+7Y3PudMmGlUFRsGOs 9eOa7fOH3z5/7Fdt3oExbC5/dPD3HdT3dC/e4tOnf262YTQu6HCCw3spDuBTB16y JzfdDADd4w2O8UlNwuHCvDiorgLHPDSJ9hVxtsBZZJp9khvBgtXN6ybrvoB51VVc o1q9XIVJR8hlWXGWUlgGmFhCWw54zDdZC9ivunj+vAmTAHJXJhTYQjhPB8ccHm4D nzLD3rOv+PsPr2dbkAplbmRzdHJlYW0KZW5kb2JqCjEwMCAwIG9iago8PAovUjQg MTAyIDAgUgo+PgplbmRvYmoKMTAxIDAgb2JqCjw8Ci9SOSAxMDMgMCBSCi9SMTEg MTA0IDAgUgo+PgplbmRvYmoKMTAyIDAgb2JqCjw8Ci9UeXBlL0V4dEdTdGF0ZQov TmFtZS9SNAovVFIvSWRlbnRpdHkKPj4KZW5kb2JqCjEwMyAwIG9iago8PAovU3Vi dHlwZS9UeXBlMQovQmFzZUZvbnQvVGltZXMtQm9sZEl0YWxpYwovVHlwZS9Gb250 Ci9OYW1lL1I5Cj4+CmVuZG9iagoxMDQgMCBvYmoKPDwKL1N1YnR5cGUvVHlwZTEK L0Jhc2VGb250L1RpbWVzLVJvbWFuCi9UeXBlL0ZvbnQKL05hbWUvUjExCj4+CmVu ZG9iagoxMDUgMCBvYmoKPDwKL0xlbmd0aCAzMzQyCi9GaWx0ZXIvRmxhdGVEZWNv ZGUKL05hbWUvSW01Ci9UeXBlL1hPYmplY3QKL1N1YnR5cGUvRm9ybQovQkJveFsw IDAgMzcxIDExMV0KL0Zvcm1UeXBlIDEKL01hdHJpeFsxIDAgMCAxIDAgMF0KL1Jl c291cmNlczw8Ci9Qcm9jU2V0Wy9QREYvVGV4dF0KL0V4dEdTdGF0ZSAxMDYgMCBS Ci9Gb250IDEwNyAwIFIKPj4KPj4Kc3RyZWFtCnic3VzBjuW2EbzrK94t6wChRZEU yWuA3HKxs0AORk5rO5NgJ4ARIPn9NMWu6qbW3nsEw4thv1Z1lZpsNjV688trD8fR S8uvffznB5/et1+2b7/Pr7//e/tOftxfuaUg/7/et/H55y2esYR+Lj/D5/P2tv31 9a8tvv6xlZhDy/l15FNcmlxvlhz2drxKPELZk4xjqDm+yt7DGSvHn7ayn6F6hxxS t+sxnAGGuxp6aCW/cHU5QuzF4HUs/iAADxJUgJuET9vPv9/20Nu+p/T67zMlvm1/ 2UqR8Ll4YbQosSJ892y8cwstNi8sy9RI0XmkUHo0BI6pjRblBgRwRwxTBxbwIEtF uOm4EvhccSN1ZzpCzs2pM8vkdqY9xN3m4HlUqQDRqTsPmWQpO48YerdZbWNENsvk RgTlzhhURxbwIEtFuOm4UvdccVfqagxn7l4dLcrt7CHtNhHP8wz5OLy6U6ZZKs4j XgwMAWOqo0W5AQHcEcPUgQU8yFIRbjpm6h4r7iqYPQWxvNJRQqpx1BRaJNWyuZYu G8c+xjI1pOCW1sIeO8ey3lsJUfYV8zhC7YchcDxjjCtgaeEo9UUEmX6lV4uhY7kC LOBBlopw0zEL5mPF+dTlPYVak1OX9z20Vk1db6GInZF17NTRY3InAsczhqnLsoGf J8XlvRN+/Gyirk9IbF50Y74k6wlyrvTwcurh5Jpp/Oy83BRlpzXX6a97WY35mpft /1/F4lZjXk2mXpaqYezNMu9lO84QY+a9bofchaO6bDRZMkmqHT2ECa++fsb9mqPr ZuKicZ8BOTOAgPMTkNGLVrbXhPp/lzAmUW1dKkByyTLLrD+1SdLiwfpUm2wpx+kq WG2ylSSrabU2mfLdEDhGdTHLrD9E0PrEGKxgZEEPsATCquNK0HPFXakre9hLdH2D WeauX3MNNVqLV8Xejuz6BvlXem3rLGrqwsCaRhtjTzfL3PWJoF0BY7BvIAt4kKUi 3HTM1D1W3JsrfqbOLJMbFjK4Y5mbOhQBekRT5kvyrBzgw6uUL3GpiJHpAWZAWLkv pfAZgq4UnTWcpbjaYZa58tspn8TCytBOsR/N1Y5WZDplqy6tyD64W2tnY6xrs8yV TwStDIzB2kEW9ABLRbjpmOl6rDifOjcZadHppLicahrZTUblRg/lTgSOOSlp0WkF BEw7xLCJCRb0AEtFuOlYUvc8cbMwoptBS2U7svW0d9v7ZtXEOswvvWyL8H3oPaJN dYt4t5mXx+ry8178QxizzDvbs0Rxz8t6llYv+YcwPdXQs2WvpxLO3eqojXHfzDLv LBH0zjMGc0MW9ABLRbjpuCbec8W9udRZgs0y6xlwUe8Q2SoiuNFDuROBY1Qrs8x6 RgStd4zBikgW9ABLRbjpWFL3PHFX6uRIfRR/DjbLPEh1OYN3d47vTZqydLhjWK9V VNnJv1epFHsxBI5xeDLLdboCwDh4AX4eyRB8fgJi86Ib85msB8kZ6Yn7kcPyjMws c+rIWJaqdRJxj3LeSW7yieUMqXgPKRjRIWCMiWGWOXWIoFOLMTj5yIIeYAmEVceV rOeK8yvLlXxatGDrbGBB17niSr7OJHroRCMCxyz5tGjBBgIKOmJYyQcLeoClItx0 LOvseeLmqjvTWJOmziyTm4xjcGqiVNaQk1MnlhJK8R7SK0WHgDEim2VyI4JyZwyq Iwt6gCUQVh266p4qbq461FtuANyNrSO928xr6Ui/wLL6Y1h32/tmU92wvvSyu+q8 YovBdeLvzqJ3NtYWuuVCxrKt+wc3YknBnWBkLNKiR9Axc0OL3lkg4M4jhuUGLOgB lkBYdcyJ91hxby51brLQMvsG4KKvQGTrPMDNeVzcHYKO0SOY5WoiADD6C8DPzgPB 5ycgphetzJdkPUGOT49bf7RopwA96CSgx3oN6DGPi61D0DF7DVq0UwACOgnEsF4D LOgBlkBYdSzJep64mbp8hF0Se8o0OsulDhY5JNUxA1IPVVa/7AgpXeMzDM46HpFT CmMtm0cMZ/QIOp4xriumpcaQy6gsiiAix68kGUPH1xWTBT2UJRFWHZq6p4rzq86r gwXc5pQw7nPSeHVzWjmPa9o5BB2bOrWQmyKQu8Zw6pQFPZQlEVYdy6p7nrgrdYcU gryoo0W5HbGF6NQdUZrpRd0Rj3G0ch77OHo5BB1THSzgBgRwRwxTBxb0UJZEWHXM 1D1W3Fx12Cpt70a5d33rzWZea0e62oYX6s+Ief6WF+/XV724IJzXIe1CW3MDC+5s P0PxuelyElhz0/dQT+fRpNc+HALGlhu18M4qAu+8xnC5URbmMVkawqJDJ95Txb25 1PlpAIv254rL/l0juw5fuZnH5G4IGLPDp0X7cyCgf0cM6/DBwjyUJREWHUvqnifu Sl1KLexLC0mLNoAplfFSOBvElI5RB1wLmY4+Xts3j6OG83AIGLOFpEUbQCCgQUQM ayHBwjyUJRBWHTN1jxXnU+fKPS160AIuDmKIbEc1cKPH5G4IGPOoRss8dSnAdSBT eD2qaXD9RInpRSvzJVlPkDPTU+vtsQctuupTzctjj1Slly6+bqSzh+jqRjplD3Z1 g2PWDVp01QMBVQExrG6AhXnU5bHHTYcm66nifOrcbk2L7rWKy71YI7vdWrmZx+Ru CBhzt4YFey0QsBcjhu3WYGEedenwbzqW1D1PnBZFXbSuimhJdz3wzXbt6bpnux74 ZjOvpW/9EotT3WHdbOa1YOWepVB59rRoBcv9kNJmFS63Hs7ia2Bu5+gUnEcenYQh YMwaSMssZwpwVTqF1xqowecnIKYXrcznVHuQnDeXHpdqWrQbgB50C9Bj/QT0mMfF 1hAwZj9Bi3YDQEC3gBjWT4AFPcASCKuOJVnPE+dT59YfLbrdKC63I43sNizl5jzy 0sVzzA2LFt1ugIDtCDFswwILeoAlEFYdS+qeJ86nzm1YtOh2o7jcjjSy27CUm/PI y9mZY25YsGC7AQK2I8SwDQss6KEsibDqWFL3PHEzdWVQeMnZNZ7HnJjT0sbePXbS XAbpVxt7/ai7ZRc8DEfcXAXQPs8lHIe7fI4R4LpgWlLY82gfFKBLNWjdImA8rpgU nMckTYRVhObtkcqupJU0lryXphZyK2kUCVIvUnqbl1aO63v89nkaZyy7fI6dNFhA TAFIXCM4aUrBPJQ0EVYRM2nPVDZXGjoba7VQJ3x/udquWTsnzUBL8be8wNJ7nXFs 6j4iLdqanXG0Ada6nbvcp6W5O8ffH6jeQ3ri5BAwZnNHy+zTFOBq4RRemzsNPj8B Mb1oZT7nxoPkvLn0uHaOFm3GoAfNGvRYOwc95nGxNQSM2c7Ros0YENCsIYa1c2BB D7AEwqpjSdbzxPnUuXaOFm3GFJfNmkZ27Zxycx4Xd0PAmO0cLdqMAQHNGmJYOwcW 9ABLIKw6ltQ9T5xPnWvnaNFmTHHZrGlk184pN+dxcTcEjNnOwYJmDAho1hDD2jmw oIeyJMKqY0nd88T51LnmQC3c3RUXm78GtuZAmdnnF3G7fI5dcwALtnYF4NavEVxz oBTMQ0kTYRWx5O1hypb1JoXg3P2uPX7XlWqjtPG7sZRtpWNs4pzHVEcEnYAaw03J HM582kYQpRS0ahULYzcl6aG8ibDqWNfb48TN1KG/sYZLkS+/os9gj9sbu2bRfXq8 CmFfNY+x6hdo7A23HGp0G/14+6L6d+QwtjfcYMH7aYpgb7jNGLbRKwk4kKMC3FTg ZZRHShvJPfYYjuRfezaLUhu/jfZvJvYz7Lv/IwJRlr7/Dsj4Bbhr8DCkMhiUl14N 2oA3XSCgFiM4Ae4Srpw9UteVsCpHvuS/k2OWSewYv27p1kEfNYdxGjFhh+yv5TBl x/gVT7OnvzZGZLMoNyCAO2JQHVnQAyyBsOqYWXusuJG6VJrUa38YMsvklsZjnm5f VEzS0zY3BT9tSbra7o5HaTxaavbNdhsjslkmNyIod8agOrKgB1gqwk3Hlbrnihup y+kMOfstwCyTW045xN2+U5qTrN7o94AsEZL7IwN5PGBqtgfYGJHNMrkRQbkzBtWR BT3AUhFuOq7UPVecL5jWvphlPu3hatanQVzvfF7EigAPrRhE4BhPdsxyPfoBwIAF /HxehODzExDTi1bmS4l8gpyZHlxuelDS7T2AL72sx/qqFzf1r3lZJfqal0168/rh VUPL4+8w/O21v37cUg+ybftvpMHie+Uf1PvoEmKN0YVutF77YqJe9iAGXv69BXjZ s2B4+efK8MLzYfPyT4yJpZwdllMBL1c21MvfoV9ecigpsjrHXxF2P356f/3x4/bt 913u4PH6+PMWL7P8K2u493q+qpjftw/xm4//3P5A6x8k76W8Pv64fTjGJ3H8eZvX xz9vH9I3v9s+ZPnn13zLitL3y7oP67ffx0gSQXYQ2R2iCLg8Pv/0n58+D68/fXx9 t43//gdgzDOZCmVuZHN0cmVhbQplbmRvYmoKMTA2IDAgb2JqCjw8Ci9SNCAxMDgg MCBSCj4+CmVuZG9iagoxMDcgMCBvYmoKPDwKL1I5IDEwOSAwIFIKL1IxMSAxMTAg MCBSCj4+CmVuZG9iagoxMDggMCBvYmoKPDwKL1R5cGUvRXh0R1N0YXRlCi9OYW1l L1I0Ci9UUi9JZGVudGl0eQo+PgplbmRvYmoKMTA5IDAgb2JqCjw8Ci9TdWJ0eXBl L1R5cGUxCi9CYXNlRm9udC9UaW1lcy1JdGFsaWMKL1R5cGUvRm9udAovTmFtZS9S OQo+PgplbmRvYmoKMTEwIDAgb2JqCjw8Ci9TdWJ0eXBlL1R5cGUxCi9CYXNlRm9u dC9UaW1lcy1Sb21hbgovVHlwZS9Gb250Ci9OYW1lL1IxMQo+PgplbmRvYmoKMTEz IDAgb2JqCjw8Ci9UeXBlL0ZvbnQKL1N1YnR5cGUvVHlwZTEKL05hbWUvRjIwCi9G b250RGVzY3JpcHRvciAxMTIgMCBSCi9CYXNlRm9udC9QVENET0YrQ01TWTkKL0Zp cnN0Q2hhciAzMwovTGFzdENoYXIgMTk2Ci9XaWR0aHNbMTAyNy44IDUxMy45IDUx My45IDEwMjcuOCAxMDI3LjggMTAyNy44IDc5OS40IDEwMjcuOCAxMDI3LjggNjI4 LjEgNjI4LjEgMTAyNy44CjEwMjcuOCAxMDI3LjggNzk5LjQgMjc5LjMgMTAyNy44 IDY4NS4yIDY4NS4yIDkxMy42IDkxMy42IDAgMCA1NzEgNTcxIDY4NS4yIDUxMy45 Cjc0Mi4zIDc0Mi4zIDc5OS40IDc5OS40IDYyOC4xIDgyMS4xIDY3My42IDU0Mi42 IDc5My44IDU0Mi40IDczNi4zIDYxMC45IDg3MSA1NjIuNwo2OTYuNiA3ODIuMiA3 MDcuOSAxMjI5LjIgODQyLjEgODE2LjMgNzE2LjggODM5LjMgODczLjkgNjIyLjQg NTYzLjIgNjQyLjMgNjMyLjEgMTAxNy41CjczMi40IDY4NSA3NDIgNjg1LjIgNjg1 LjIgNjg1LjIgNjg1LjIgNjg1LjIgNjI4LjEgNjI4LjEgNDU2LjggNDU2LjggNDU2 LjggNDU2LjggNTEzLjkKNTEzLjkgMzk5LjcgMzk5LjcgMjg1LjUgNTEzLjkgNTEz LjkgNjI4LjEgNTEzLjkgMjg1LjUgODU2LjUgNzcwLjcgODU2LjUgNDI4LjIgNjg1 LjIKNjg1LjIgNzk5LjQgNzk5LjQgNDU2LjggNDU2LjggNDU2LjggNjI4LjEgNzk5 LjQgNzk5LjQgNzk5LjQgNzk5LjQgMCAwIDAgMCAwIDAgMCAwCjAgMCAwIDAgMCAw IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgNzk5LjQgMjg1 LjUgNzk5LjQgNTEzLjkgNzk5LjQgNTEzLjkKNzk5LjQgNzk5LjQgNzk5LjQgNzk5 LjQgMCAwIDc5OS40IDc5OS40IDc5OS40IDEwMjcuOCA1MTMuOSA1MTMuOSA3OTku NCA3OTkuNCA3OTkuNAo3OTkuNCA3OTkuNCA3OTkuNCA3OTkuNCA3OTkuNCA3OTku NCA3OTkuNCA3OTkuNCA3OTkuNCAxMDI3LjggMTAyNy44IDc5OS40IDc5OS40IDEw MjcuOAo3OTkuNF0KPj4KZW5kb2JqCjExNiAwIG9iago8PAovRW5jb2RpbmcgNyAw IFIKL1R5cGUvRm9udAovU3VidHlwZS9UeXBlMQovTmFtZS9GMjEKL0ZvbnREZXNj cmlwdG9yIDExNSAwIFIKL0Jhc2VGb250L1FGWllESCtDTVI2Ci9GaXJzdENoYXIg MzMKL0xhc3RDaGFyIDE5NgovV2lkdGhzWzM1MS44IDYxMS4xIDEwMDAgNjExLjEg MTAwMCA5MzUuMiAzNTEuOCA0ODEuNSA0ODEuNSA2MTEuMSA5MzUuMiAzNTEuOCA0 MTYuNwozNTEuOCA2MTEuMSA2MTEuMSA2MTEuMSA2MTEuMSA2MTEuMSA2MTEuMSA2 MTEuMSA2MTEuMSA2MTEuMSA2MTEuMSA2MTEuMSAzNTEuOCAzNTEuOAozNTEuOCA5 MzUuMiA1NzguNyA1NzguNyA5MzUuMiA4OTYuMyA4NTAuOSA4NzAuNCA5MTUuNyA4 MTguNSA3ODYuMSA5NDEuNyA4OTYuMyA0NDIuNgo2MjQuMSA5MjguNyA3NTMuNyAx MDkwLjcgODk2LjMgOTM1LjIgODE4LjUgOTM1LjIgODgzLjMgNjc1LjkgODcwLjQg ODk2LjMgODk2LjMgMTIyMC40Cjg5Ni4zIDg5Ni4zIDc0MC43IDM1MS44IDYxMS4x IDM1MS44IDYxMS4xIDM1MS44IDM1MS44IDYxMS4xIDY3NS45IDU0Ni4zIDY3NS45 IDU0Ni4zCjM4NC4zIDYxMS4xIDY3NS45IDM1MS44IDM4NC4zIDY0My41IDM1MS44 IDEwMDAgNjc1LjkgNjExLjEgNjc1LjkgNjQzLjUgNDgxLjUgNDg4CjQ4MS41IDY3 NS45IDY0My41IDg3MC40IDY0My41IDY0My41IDU0Ni4zIDYxMS4xIDEyMjIuMiA2 MTEuMSA2MTEuMSA2MTEuMSAwIDAgMCAwCjAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCA3NTMuNyAxMDAwIDkz NS4yIDgzMS41CjgwNS41IDg5Ni4zIDg3MC40IDkzNS4yIDg3MC40IDkzNS4yIDAg MCA4NzAuNCA3MzYuMSA3MDMuNyA3MDMuNyAxMDU1LjUgMTA1NS41IDM1MS44CjM4 NC4zIDYxMS4xIDYxMS4xIDYxMS4xIDYxMS4xIDYxMS4xIDg5Ni4zIDU0Ni4zIDYx MS4xIDg3MC40IDkzNS4yIDYxMS4xIDEwNzcuOCAxMjA3LjQKOTM1LjIgMzUxLjgg NjExLjFdCj4+CmVuZG9iagoxMTkgMCBvYmoKPDwKL1R5cGUvRm9udAovU3VidHlw ZS9UeXBlMQovTmFtZS9GMjIKL0ZvbnREZXNjcmlwdG9yIDExOCAwIFIKL0Jhc2VG b250L0JNTFlPTStjbWV4OQovRmlyc3RDaGFyIDAKL0xhc3RDaGFyIDEyNwovV2lk dGhzWzQ3MS4xIDQ3MS4xIDQyOC4yIDQyOC4yIDQ4NS4zIDQ4NS4zIDQ4NS4zIDQ4 NS4zIDU5OS41IDU5OS41IDQ4NS4zIDQ4NS4zIDM0Mi42CjU3MSA1OTMuOCA1OTMu OCA2MTMuOCA2MTMuOCA3NTYuNiA3NTYuNiA1NDIuNCA1NDIuNCA1OTkuNSA1OTku NSA1OTkuNSA1OTkuNSA3NzAuOAo3NzAuOCA3NzAuOCA3NzAuOCAxMDczLjUgMTA3 My41IDgxMy43IDgxMy43IDU5OS41IDU5OS41IDY1Ni42IDY1Ni42IDY1Ni42IDY1 Ni42IDgyNy45CjgyNy45IDgyNy45IDgyNy45IDEzMTMuMyAxMzEzLjMgODMzLjYg ODMzLjYgODk5LjMgODk5LjMgNjg1LjIgNjg1LjIgNjg1LjIgNjg1LjIgNjg1LjIK Njg1LjIgOTEzLjYgOTEzLjYgOTEzLjYgOTEzLjYgOTEzLjYgOTEzLjYgOTEzLjYg Njg1LjIgODk5LjMgODk5LjMgODk5LjMgODk5LjMgNjI4LjEKNjI4LjEgODU2LjUg MTE0MiA0ODUuMyA1NzEgMTE0MiAxNTUzLjEgMTE0MiAxNTUzLjEgMTE0MiAxNTUz LjEgMTA4NC45IDk3MC43IDQ4NS4zCjg1Ni41IDg1Ni41IDg1Ni41IDg1Ni41IDg1 Ni41IDE0ODQuNiAxMzEzLjMgNTcxIDExNDIgMTE0MiAxMTQyIDExNDIgMTE0MiA5 NzAuNyAxMzEzLjMKNTcxIDEwMjcuOCAxNDg0LjYgNTcxIDEwMjcuOCAxNDg0LjYg NDg1LjMgNDg1LjMgNTQyLjQgNTQyLjQgNTQyLjQgNTQyLjQgNjg1LjIgNjg1LjIK MTAyNy44IDEwMjcuOCAxMDI3LjggMTAyNy44IDEwODQuOSAxMDg0LjkgMTA4NC45 IDc5OS40IDY4NS4yIDY4NS4yIDQ1MCA0NTAgNDUwIDQ1MAo3OTkuNCA3OTkuNF0K Pj4KZW5kb2JqCjEyMiAwIG9iago8PAovVHlwZS9Gb250Ci9TdWJ0eXBlL1R5cGUx Ci9OYW1lL0YyMwovRm9udERlc2NyaXB0b3IgMTIxIDAgUgovQmFzZUZvbnQvSVFD WFBTK0NNTUk5Ci9GaXJzdENoYXIgMzMKL0xhc3RDaGFyIDE5NgovV2lkdGhzWzYz OS40IDQ3Ny4xIDYwOS41IDg1Mi41IDUyOS40IDM3NC40IDY3MS4xIDEwMjcuOCAx MDI3LjggMTAyNy44IDEwMjcuOCAyODUuNQoyODUuNSA1MTMuOSA1MTMuOSA1MTMu OSA1MTMuOSA1MTMuOSA1MTMuOSA1MTMuOSA1MTMuOSA1MTMuOSA1MTMuOSA1MTMu OSA1MTMuOSAyODUuNQoyODUuNSA3OTkuNCA1MTMuOSA3OTkuNCA1MTMuOSA1NDMu NyA3NzAuNyA3NzcuNyA3MzMuNiA4NDcuNSA3NTYuMyA2NTYuMiA4MDQuOCA4NTAu Mgo0NDkuMyA1NjYuMyA4NzAuNCA2OTkuNCA5OTIuOSA4MjEuNiA3ODIuMSA2NTYu MiA4MTAuNiA3NzcuNiA2MjcuOSA1OTkuNiA2OTkuMSA1OTkuNAo5NzAuNSA4NDkg NTk2LjUgNjk5LjIgMzk5LjcgMzk5LjcgMzk5LjcgMTAyNy44IDEwMjcuOCA0MjQu NCA1NDQuNSA0NDAuNCA0NDQuOSA1MzIuNQo0NzcuOCA0OTguOCA0OTAuMSA1OTIu MiAzNTEuNyA0MjAuMSA1MzUuMSAzMDYuNyA5MDUuNSA2MjAgNDk3LjUgNTE1Ljkg NDU5LjIgNDYzLjcKNDc4LjggMzcxLjEgNTkxLjQgNDk5LjIgNzM2LjYgNTgyLjYg NTA2LjIgNDc4IDMzNC41IDM5MS42IDY1My4zIDUxMy45IDI4NS41IDAgMCAwCjAg MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg MCAwIDAgMCAwIDYyNy43IDg1Ni41IDc4Mi4xIDcxMy42Cjc2MC42IDg1MC4yIDc5 OS4yIDU5OS41IDY4NS4yIDYzMS4xIDAgMCA3OTIuMSA2NTguNyA1NzkuMiA1MzAu OCA0NTUuOSA0MTYuNCA0NTAuNgo1MTMuMiA0ODEuMSAzNjMuOCA1OTIuMiA1OTku NSA2MTkuMiA1MDYuOSA0NTAuNiA1ODguMiA1MjkuNCA1ODcuNyA0NTIuNCA1NTYu MyA2MTEuNwo2NDAuOCA2NzAuNSAyODUuNV0KPj4KZW5kb2JqCjEyMyAwIG9iago8 PAovRmlsdGVyWy9GbGF0ZURlY29kZV0KL0xlbmd0aCAxNDQ2Cj4+CnN0cmVhbQp4 2qVYS3PbNhC+91fwSE5MBO9HPLnk4U6a6Uzb+JbkINuMpcQmXUltmn/fXQAkIJBS nXQyExIEtM9vv124ooTS6rbyj5+rP+HFaGWkqij+GxeMGqJc1TJtieTV9X319M29 rF4N1e/Vi8unF6ZyxOnq8lOlGTEKDjpKhKguX72vLza3f227phVM1fJZ00qh69f/ rO4f7rodftX18Ck8V+HQQ9NyWw933xpu6uF+0w/h+6ZvPl7+8vSCiUkb04ZICZai ot+a1rL6XdMaBe/hKK00cQaPck64qSQR0h/+wCWLZ9h0hlYtvDJ/gMuw7aZdQ9yo 6nz2U06EjpvxhykmhmgOB5QJmuvVh+YMXbL1qr/JXNfJ9duhD1++rjfXGId1jMEu PPthj1qqlkNmtICAM+KUl4+ihFiIIuoUHPRffWj8j8Fdycc0Xd+tdihc+HwE9+Tk gpAAhejfVaNovbpb9deNYnXXKF6jF5rWwxa3brpt3GDjxt5v+C+Q9CI8zhDOouz1 Cs39e9PfhlM2WcAJJD6c6ksRNkl4An5zWTN0xdSIHQjDTbcjgDwl6zd92Hj/9mN4 +YOE59vu/iG4/7AdvBH4n4eoUPV+vdrP0NcyA+FjefA/vyhR48IJonLLMyEKC2rc /lw6poganX5eRoRRonjc/FSqlcSamdpcrhST1rNSsibUHoY6M9higdNYRIaWktGq MReUeJy9vvTEYo2gRkRiiQvDiAYYCqhjN/KKGnkFZEF8LWxbR2zBJgBxhWwiZX25 9h9k3W1u15i1fUD6lQdpdxNOD1sAZlhIAGQXUityyPm1Do8cOSEEKT6tpL7oJCA3 hJARRkQDQACYvxw8kng97Db7zdCjHivqr5v9Orztvb1W1ner7W2324evD6ttfNv0 YTueExBnZbbTuVz2GN9DErYQVci+VJDmQDoXjcUIBLmrHj3+NqswQww7mnZH9Kms s8R/bIYn2J0kf1mQzPhjRaMDqr7r5sXIRdLxsqwGhXmCapAueHf+ZaYFMI91GE9c QfKh+oO6mAdV77p9iKDvWPDh2qcaeTZLtZoINIuAgJSwY/QF6F4gwAkrgeiBJgGC Gdck9IiInkKpgpDYw7DnlGnHqHu8iRGXUB0Jb6mRBAfPwrcN6chZjr3MU6uIhmBL B3njy7ozoD0pjfZPGjtZ2WUV9vCUR1YK1kTblMRTsoE6mNbpUcJBIOE82sQDpOnM wvXcdSeShYucPsHkfLm644ilqBvZx1NLIQnmHe2O1pxFM8uaW24ti1nQ8yykX0tk nWn7PIu0OYi7CXtmHkUOY908ipn9vl1M+8f6EE+M5GGL41ZJehQ7IT2ixqZsPKLX +WaUmBbrpN/tsQU9yzOZz69ACxCrVglBmMq56zDcMrVyVcZK4PPEWDpu8rn10wQQ cQg8nBUAt+A/jUMrV2zOIAr4aDrCcfBiYf4SyNSc87DiBysxB4zSaYo/n1cMc5ML uVBeqCgzC+XhvlsoK1SUcYGBmaqDuPCZN8jmKS7PTvZopRgOW3jw12HbjZOnrWGI biUzi71OQcNQJ3pdXjsLzUbPCChPPEOGMuPg8K4UbwkMPpxInaTjRcIeEA3L5tAx sc/Z/PrG0VZOnPsfbVuohbYtmQvtTMIty7dtfMG2jTsLbTtuz9q2wLvbkbYN5c/k Qt9GWVnf1sTK0307ckUcTddxvD3ehT3VqEdQDaeQr9g1OAa1VU4QyfJww81JEWfj pQGJPecZlQRg02Y5ajifNh0xHEDD4+WaMjr/OVys2+mIrzMb6swdrGxYuWOroFok wTbdVs5LrZLQgzo/pSOzptSheLpgPl4H/w/Lhca/RnyfVFfYyr9X6uiGKEwtxXCK FPA4MWbZth/3WBa5+kHj1AynGis2x+lCrrFlJqDORkO49fvRooX7Es16MtTcT/8C trh1EgplbmRzdHJlYW0KZW5kb2JqCjEyNCAwIG9iago8PAovRjcgMjggMCBSCi9G MTMgNDYgMCBSCi9GMTAgMzcgMCBSCi9GMTEgNDAgMCBSCi9GOSAzNCAwIFIKL0Yx NCA1MCAwIFIKL0Y4IDMxIDAgUgovRjE4IDY4IDAgUgovRjEyIDQzIDAgUgovRjIw IDExMyAwIFIKL0YyMSAxMTYgMCBSCi9GNSAyMiAwIFIKL0YyMiAxMTkgMCBSCi9G MjMgMTIyIDAgUgo+PgplbmRvYmoKMTI1IDAgb2JqCjw8Ci9JbTQgOTkgMCBSCi9J bTUgMTA1IDAgUgo+PgplbmRvYmoKOTggMCBvYmoKPDwKL1Byb2NTZXRbL1BERi9U ZXh0L0ltYWdlQ10KL0ZvbnQgMTI0IDAgUgovWE9iamVjdCAxMjUgMCBSCj4+CmVu ZG9iagoxMzAgMCBvYmoKPDwKL1R5cGUvRm9udAovU3VidHlwZS9UeXBlMQovTmFt ZS9GMjQKL0ZvbnREZXNjcmlwdG9yIDEyOSAwIFIKL0Jhc2VGb250L1lESkpTTytD TU1JNQovRmlyc3RDaGFyIDMzCi9MYXN0Q2hhciAxOTYKL1dpZHRoc1s4ODYuNCA2 NzQuNyA4NTUuMyAxMTQ0LjggNzI2IDU3OC4xIDkxOC4xIDEzNjEuMSAxMzYxLjEg MTM2MS4xIDEzNjEuMSA0NTguMwo0NTguMyA3MzYuMSA3MzYuMSA3MzYuMSA3MzYu MSA3MzYuMSA3MzYuMSA3MzYuMSA3MzYuMSA3MzYuMSA3MzYuMSA3MzYuMSA3MzYu MSA0NTguMwo0NTguMyAxMDgzLjMgNzM2LjEgMTA4My4zIDczNi4xIDc0OSAxMDM2 LjEgMTAzNyA5OTYgMTEwOS45IDEwMDcgODY3LjQgMTA2NCAxMTEwLjQKNjI2Ljcg NzcyLjkgMTEzOC45IDk1NS42IDEyODQgMTA3NS43IDEwNDcuNSA4NzUuNCAxMDgy LjIgMTAzMCA4NTYuMyA4MzIuMyA5NDMuOSA4MjcuOAoxMjc5LjIgMTExMi45IDgy NC4zIDk0My4xIDU5Ny4yIDU5Ny4yIDU5Ny4yIDEzNjEuMSAxMzYxLjEgNTk3LjIg Nzc0LjQgNjMzLjMgNjQ5LjQKNzM5LjcgNjc3IDY4NCA3MDAuNiA4MjcuNiA1MzMu NiA1ODguMiA3NTguMSA0ODAuMyAxMjI4IDg4MC44IDcwMi44IDczOS43IDY1OC45 IDY3MS4zCjY3MC4xIDU2My43IDg0Ni4xIDcyMi4yIDEwMDkgNzkxLjcgNzMwLjYg Njg4LjcgNTMzLjYgNTUzLjUgODg5LjIgNzM2LjEgNDU4LjMgMCAwCjAgMCAwIDAg MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg MCAwIDAgODMyLjYgMTE1Mi44IDEwNDcuNQo5NjYuNyAxMDE3LjcgMTExMC40IDEw NjUuMyA4NDAuMyA5NDQuNSA4OTMuNSAwIDAgMTA2MC42IDkxMy4zIDc5MC42IDc0 Ni45IDY1NC4yIDYxMy41CjY2Ni43IDc0My44IDY3Ny4xIDU0OS44IDgyNy42IDg0 MC4zIDg0OS44IDcxMiA2NjYuNyA4MzEuMSA3MjYgODE1LjIgNjgxLjYgNzkxLjcg ODQxLjcKODY0LjYgOTMwLjYgNDU4LjNdCj4+CmVuZG9iagoxMzEgMCBvYmoKPDwK L0ZpbHRlclsvRmxhdGVEZWNvZGVdCi9MZW5ndGggMzAxOAo+PgpzdHJlYW0KeNqt Gl1z27jxvb9CTx1qzsLhkySSSWdyl6bTXqd3k3imD7YfZIm2maMkV5Tj+N93FwuQ IEEpjpMXEQKWi8V+74Izzjif3c7c4x+zX85/fl/MLLP57PxmlgtWmNkil/g4f3eR /fI0Xygps9VuO5dF9nkuy6za4u+hhilYE9njXOZZReO2Osyvzv/183uhOqTWMGFn 3OH79KtfFrOc2QKXS8bFbCGYtg6CJ+9rpotZt/6J1nuaDTPaY3+TvCs4M+LZe4sX 7K26vReyKDLB5gutRfbPLTHu4rcPVzR6y+j523Z3f7NZrpCfd9We+Lbcrmn1Px7q w+76ut62uCEQqEEuCp6CWZLL/X7XywPeUDI73C0PONLZzQ6xKgVYEeiJqC47qkvJ jKd6m5y4RNHT4qUs+PjEMUP5WcpvwXgx4rc9xu50c8O0fC67R4dCwqRfvBlvrFlZ pBsXR/Zlnq4e+UIYyfLZQhpWelVhAD4HiRievas/1+1u3wLTS5XtbsbYrezplilp tpwplssjLClYrmeLDuBSapHgxycfaHAkbFb6tRpVspSwhxLZwwZ/r/fLhiaX+/pw t6kO9cqp3N/PR56hFCxHForS0Q3o/h1MPZIBCNgONSumsrPTa7QVp7emRCV1z9op 66G6dTZhisz9BzpBxf0L+zNYybW3FgBpqgO9fJGQogqmxTFaDDKd1q4IE+5QBpLq Q0sDMMHl/okg9tX9vmrR+eXZYYnuD0zViDw7v6s813WkMJYzq2OT3T5srvdzUBdk ueZ6xPIBswsmA337qqkrp1o6cx63NGDqFU0ATc1yVW9vaR5Ub7jeHoBVy/2appfr de3dNvwjLwFA/pDO09DOjurcbd9W/3uotitHQcGzRyCZRh1r3PiAsnqsW9w3tyDL VfPQ1p9xtlr8/oHR9FuPZUkPCCoBPQq2sJ5wWNo42TeH+r6pV8uFI47H3PTnAKQP bSCue7u9q28Oi7/CxoGc9lAt17TomNRBw2rEpOhdYBbK16ie6i09qy/LzX1TnaVE 1Qfyu3e7Zk2uW2o0XNAGpsh+LxQonAQH/xM9Liz8F9zkFEBKsOCFyHN8SKkClJss IDa6NU7/BL0QAk8EUsRYAggYiRBXgWipmBUdRYkb10zZLgponSgoK0OQ8AfgPDlA EkvBC8sTSEH1Oi8Wn5NPneXoLuCouTi5S5eMiIEkRMS5YiINAYeSq+ch5kcRR4ea YI8sfiD+I9sYjoJ/Nn9As96Qa5Aa8jhJmjPIeHpt7GniY4WNlJlPKTM/KYsx5IQe jFRlbCCg/bK4GkcJyXP00nTcVycjnzSGKYp8vzbVct88zSHYn5HBky+Bwbq6lKbY VmufgPUeV4WwBdND7xYAMAhXBNke6qYh2NVuQ+AYc8ihsp7Qjrq8CB7mv0iXc20m a5cYrZ7oj08QgT9JtDSW5UHq6zRYij5YjgNd3kfZNaRB66odv64UE0Gvk42h0Cie GaThBDW6bhAssNtxCo5SfalbF62njlXI3qSqMXrdm/MVvd8+UFL+dXYpVpbfwK44 wT3tATtmnuLU1FF0dBRI7N6Q8qRpEQxO8DvscIWhT8vs921Fxq8gItgijnWrkLct 7++bJxqSGcDg1mvqllInbxXOFHxmddjRE9T7/uFQjd5v6y80WPepNfxzoRuzPaGv fCpYs4r54YUIkxfyaiI6Q6A780VZTiNgUBFGvgLjHXKYcxkzTO32ayrUONENz3qz qdb18lC5s0MFB3naEyViCEW6I0OWAYOqqTYVpbgwIWwqG4XOKH+mjAHj492u7cQj sDwZ1oeYMq8fVr4o9JnblFJAuV+qE+psY92SWd0SxouJ9L/Mn2nNQEfdeu9Ze/94 W20rKEj87Hbns6mHbQ1J4oTTUwKIU10xAsksuEmXKpedI04sMIcKNRz23bgYgxBf nqoTLZO2rxOdLpRx7VAGHYbZlkjyWtuvDJQ6Wr5ISkOhc1bo08WhtV8pDqEuVuG8 4opIuwxmo7noyYrrAAk6YctYo0KmTh5YJGVsDgo4pnRUYEeEzl3Cb5zVJYkWZ7w8 ISEbS+j1n8mBoUbXkZDuPMkR1+HfzoeSlOuFQks7yXTQ8q8yvQsCjumw093SdWzI R0BUaartLZjkOGSBnYcY8OcEF4MtOgedY7CXmQ+Fj5QzwFbtnesOPXpZFi6uxMUT uCeUPjgRVwVqDkh8RypxDpCW6s6oF8qq7G9juqRgJu+bQg6x4zsiXkFpBZrVYI3o chFUOmS/5qqHmmocChllFy+wVa16NajbiYZRIX5Mw8gf+Zq6be481/WnahUStsZP Drt2JBzIx5UcCydhBXC4CJnDp4QVcBRtkFwzNIoBL9GPB4iJzlqXXUw2Ubue4Kc/ 5gtQuY/zBVjvHx6Ud5RIw7gG7ik9so2eWIjJUOnlntJtggIolVGBkryfM6mGBhI1 dDULuvqTmGwGl5BIWTnNhCjFwi5umVMXVwfXDYObXdOQbZEda+wFXTfVAGzga7T3 8HrSw4NpFhadjTjqbLDx2wEccTbcdM4GHasRzq5HCg/x0ttM35NKC/tO0l15N7ab yAu9pnrrFdVbrwb/XifslRit6UXtg7yveFTIA9csLsKiOgMqFAU+TJV56MBuAyQo /+xxVnDMycE/wd9ytun+A4dLOWtmH0dlHXLeDBBOhAIffsXXerPiWb1ZbJTIYfyH rMdpB6Zl6fY5CvaH7i+NNSFxi8xGFejAVbAMX5hITd1pBEBAhZ2VmBIe+0uXiPAx JdEmYLgyblP3spMKPAbKAs13A05EMWXCfxLdDDBiXHcC9pWuSixBoktX6Ph9nqlz sIWY38rzW09wQXBwdOV3sqF8BhvUNBsUthgiPihIBlQ54oPCbL34Oh9iNkwZCsQj BNiMDAd3ITgUgiK4HOE01+irwkQPGBBCiVhElodwpQpkY4cBwpyWigk9dfjwFsT8 IiLLY/VYLOhAimSY34MMRmE9LqK6ImTqrq9bvE0qc93HhvRNK/t07/v2TPmhSvTZ mxF/UjEBXFnGYqKJVEzGFUA9QmUx3U4dZJAYPHV/dZUSSJXCZoTfCwy96wCJgLyV 86m+re3vPBIe5n3xm8SjaO11+h4vhz1lMXVlmctjcjfomDoE2lpsMU4foCwxQv34 A9iJpvjkOUrMqk7qEmixjUVPokt1qXB1daRLNJHqEl4X2Qhh4RzYcV2yhuWm91kp hdZitbEZbRCUiSJAhKXTpiMy0RIznSMyGVybOgRnHTrfRR5PRt3uxO+oXoyJGoHR KpPIMUJ7VKsQbfmyE8Tt8G5NhH98cFZ+7FgQFeRJpTJgPyLWARJholQIp2ykVH4i USoD3t1EOoBwxh5XKgPJC0bnELBTCjXUvzFC2sArFSRZWM5HWMZKNZCM7HXL3elB eOKh1inMVCCWWO/4O/PvtP00F1e903zW+z0aiPgSLzSiamDSwwx7x/JbPO2UwfT8 kxalQUg9//KJxoLF7146Jp82nqDYsYPsN8xd5DwtMKhRsL/0YoGVkzeY38xKewRN ghRd5KgxP3l5eowQpZh8QewZXjFOTKbcN7nrxyTiPnrhZnLIGahN8B6vtLBRJbX/ uEFC4d0uN26EDRVjsmXzgB8CIEj4BKc/p43kdqo1DT5S5ipcMOEuy27QtDu/sW+v bUcEuU9Dhh+stLQyUWuAW3xOrXG63npJsaUgMeSOvw4WygxTuItdPxHqDG2wrlyY Qvr73uPllg7lFrLjsm8VU4cLeG8GGvqWcwDkeA1SUvMfnhcfm6vLOY3pLka4hkq9 p+Fqt99X7b3j62679t/h4FrfbsGujbLZ+Z27ooCXoqY1/Ltb+mn6WgXltCMENWGr 9oMvTUj5qvbgej0yd7dV+Cp2yg+7fY1f8si86D5d2t/vK/o0qH0FpIjJNowoXIO6 66hikyXpqIKdyLijKkvuvi4hIh5ov5Z2p+uHHV7v4DKpY45XILf7yo8vs4QMqVHq xz4DdF0RfrStUGIG5tULpEZfKeYGVWEBkZSTxgQD/8v/AU8L1kQKZW5kc3RyZWFt CmVuZG9iagoxMzIgMCBvYmoKPDwKL0Y3IDI4IDAgUgovRjEzIDQ2IDAgUgovRjEx IDQwIDAgUgovRjggMzEgMCBSCi9GOSAzNCAwIFIKL0YxOCA2OCAwIFIKL0YxNCA1 MCAwIFIKL0YxMCAzNyAwIFIKL0YyNCAxMzAgMCBSCi9GMTIgNDMgMCBSCj4+CmVu ZG9iagoxMjcgMCBvYmoKPDwKL1Byb2NTZXRbL1BERi9UZXh0L0ltYWdlQ10KL0Zv bnQgMTMyIDAgUgo+PgplbmRvYmoKMTM1IDAgb2JqCjw8Ci9MZW5ndGggMjQ0NQov RmlsdGVyL0ZsYXRlRGVjb2RlCi9OYW1lL0ltNgovVHlwZS9YT2JqZWN0Ci9TdWJ0 eXBlL0Zvcm0KL0JCb3hbMCAwIDM1NCA2N10KL0Zvcm1UeXBlIDEKL01hdHJpeFsx IDAgMCAxIDAgMF0KL1Jlc291cmNlczw8Ci9Qcm9jU2V0Wy9QREYvVGV4dF0KL0V4 dEdTdGF0ZSAxMzYgMCBSCi9Gb250IDEzNyAwIFIKPj4KPj4Kc3RyZWFtCnic3VvN ku44Dd3nKb4lQxUeW/5fsKGKB5jhVvEADUMPTFN1hwWvjxLrSEoupFmnetEttSyd E8mync/f11cMRLOO8or7jxfePrav2/c/ltff/rX9wH/GF80URqbXx7b//5ct1ZLC pNPfsPlle9/+/Prnll4/bymFTPU1WqBCnYdDkUOujV4jzFH23ynEVOerhThHKiq/ bTlQSq2rJobRU85DXZhCgrxtppohEUODE0ZY2qwaBvLbBiDQAKc4uPB42376LUeZ I8acX/9+Ls337U9bjaFSS46dagRbGSGNOhR8qYHmzI5eoVASOYsYYncPSGWNrBqB Bg9AjhjGDSigUZTi4crjSOJzye2pk3zSINZOq0vqM+SWtS6p9xCJtGAgW11CozUH F6aQIK4uadSQctW6pNFD6c3CiGx1CY0CXw4uPI7MPZabn3PGTjWCDQUB8CgZo4ei UgspOvUAWSObZkFTD4JcYyg3RSEaw708XHmc5tzzyO2p095+zMT5yjNQTKS/f/2r M0pUQynlYlQuRq2EVtq9J4o5jNLvPVHJIZbx3z3xw+BlfPpVDBppZIlaqMMaXaIc eiTXChPxBEnVLNLgR2etUGVtU6rBEiQedIWSGNYKgcIsBKV6OPNY3eKx5N5d6pDf D6eJIXGNwi/lHgYljQzZ2KmFYFcPKq8Yxo546sxclB3xxKFu7CAbO7MASng48zil 7nnk9tRR7CHn5NiZZmGjWMKcSbFTpJBi8ewmz+Pk+M/Gy9QwdiorO9UINngQ7BpD 2SkKtQDK5eHK40jdc8n51FlPUY10BPhFx0Bk11MEm/YUwa49BbL1FGjQEcQDOgZi WE8BCrMQlOLhyuOUuueRWw1TmvtpkS7XBXEZnRfpcl5a1ei0SP8PT+dF+uqpUZgx 36/kMLrdE6jR3e4CRrf7lH2r03PxVQANqmD/Y1rWafCuKHZXBfsWrZGrk847LSsC iJofKJBAGa4JlgCuBASCWQhEeLiQWPX9TGZ7cWfiKZGrFFJjaqaJYXLREIW6by7m YACvnCZX54DIB6PEs5DI/l9CGaSjVVzud3toGsPJL4ynOHnPnTUAZB4hCNRCAYqH C4UjZY/ktSessHScKZWYaQ5oZf81lUnmXyklR2xyYZERnxTGKEpMRSWmGoEl4xW2 BDBiQACNAVwerhSOhD2S1zHDuPum3FzzUI3M/dxS6IwRrSFX3vwl/8Kv8qGMsjPI oY1sDiDr1FYN3vaJBzQHCWHdAxjUABjh4MJiTbKHUjs2bOjgd6s+JvXtuqit5W6F VaO7tVqo3W4fYHO3D6m8U8qluLlmmmO21NlDjAVzqU5+Qsk1x8rPkrJOPj7JhLFv iWW0ipgHplkzBeMxkxDA5hoQmAUAwsOZwnpZ9ERexys+PlDOQp6YahY0PoG2qKtV TbzWp+qIJW52NO3/kRerYaMhKjHVCCwZr7AlgCMmCNRCAYqHC4WVsCfyOhLW+MBZ sv+oABppbLXyETVa46uVV/vUXGuslYI3KJP7nr2DUlnblmrwnn850I8BJIJ1RmBQ C2CEgwuLlbOHUjs2V72F+s372EuH1SK86+cwul0ZAPu2oQPTfUcHptvXv3yG6KW7 zKlGHnzjQ0dxx5bWeYvqX2u2xnnIds5prQealnqV9bGqRh48POjnjiuEZQ4YzEAw wsGFxVGUT6X27tJmTdI0R5uDW2mCElZ7JGDh34Iag1VE/zLN6nAYjw4o/q1FIr4Z AJ44uBA4ZexBrPZkdT5F5JocLdMcyPrMXF+A3Se3ISpGqw+GmXVL0kfhDYY+ExMR 0zQLFcYDNQIYLwFgBoAnDi4EjmQ9kJVPlnUN1cikF7foCYhrXQPI1EKQqwPIOqVV I5MeHtAUEMPahoAwA8EIBxcWp4w9jdpqiKt1335oKu3i9jNTsblbM3viwyN9cuZS o7slGka3e4teeUbQJy9aYXRLTo3u2I2eQ69+L6ca3EbqnJpkW7XRBj8z/2JztMoB nAGPtOFL0vSJLOmVocg+fLsrSBJdLYAODi74j9J/Hqm96CefVGbFDq8yK9NwYTHI yWebtu8B62T/POsiL1A0VH7bZuT5yWcVs+AJsLdteFB5xdhHQNNDzbyXgQdePUcn iyEyjwAKWChK8XDhcaTsueSO1HGmc/WbU9VIRU3OfUxWgJNNU/bvySabUinOgqd3 LM6DyFo0qpGyggeUHWJYYQKFWgAlPFx4rNQ9ltzx2V/MMdTmCtM0q6xSpBHIyo5l XrOyK0zWUCjVW/AymLwHkVE0plllpR6k7DSGFqaiUAughIczj3VZ4rHk9tRpU79b bzHFb9db7QN36+0s7bixcbsHQFneG4mn+8+bUxz73tlfIxaN3jDiva+7R8wyryv+ LiprYhjujlLk7bnbIapsH7lDo3eAlwe7IrxiuDtKgsJZLJTm4cRDrms+ldy7S52b dqqRSSN+dVJJZDftBJtNu4Xdph1km3bQyKSBB0wqxLBpBxRmISjVw4nHKXXPI7eu gvDmrnfPTjWCjXgzWIwNy9ybimdHtYfm2FHlfufYqazsVCPY4AHYEcPYAYVZCEp4 OPOQu3NPJedT5y91isYudR5+7VLniuwvdS5sZrGwmweRradAo1cylwe7srlinC51 HiicxUKpHs48Tql7HjlpmKu53y3SKRXee3/y6j6lQeGz+9Ywur8RJeHu73uh7dx7 +n/CEfH29LNwYnT/CHIpIZ1KBRokOpf9y1lWCDmPME+lknMLsXkL5knOg8hWKtAg 0eJBC0FiuFIRFGYhKNXDmceaB48l9+5ShyL4cBo+yfLhBX73C8i06yUyZGPnLA7s 5gHyimHs9ivJ+7YcDnjP3XqyECIbObMASHFwZnFK3NOoHWmr++3j4bmpRpDV/b6y cWG5hKM9Kjde2E7cKs0TN5WVm2oWNDgAcoQwbgChFgApDs4sVtoeSs2nzfUSaNAJ xK12CgnseolAM4uF3DyIbL0EGnQC8aCdQmK4XiIozEJQqoczj1PinkduNUpp6rfL fO7j273AdbUsqX+7pF49ldq4VD/zNHlr88mFgMLPsvt7xlDg26Gdt9X23VHcVrBv l/bMh5ruLFKg0d14ke3bpdDg26XiQb9dKjHct0sPDPp/AYjhZwLrZufjSO019vVV ODz3p/1L7u7Pt4/XH75s3/84Xz3Q68tPWzrU3HT4PBpfXz623/zj9/m7L3/ffpdG CYfuL7su7To+0nRT0a5Kq26gK7uuDjew7po/fnn9sO0//wF3YFFGCmVuZHN0cmVh bQplbmRvYmoKMTM2IDAgb2JqCjw8Ci9SNCAxMzggMCBSCj4+CmVuZG9iagoxMzcg MCBvYmoKPDwKL1I5IDEzOSAwIFIKPj4KZW5kb2JqCjEzOCAwIG9iago8PAovVHlw ZS9FeHRHU3RhdGUKL05hbWUvUjQKL1RSL0lkZW50aXR5Cj4+CmVuZG9iagoxMzkg MCBvYmoKPDwKL1N1YnR5cGUvVHlwZTEKL0Jhc2VGb250L1RpbWVzLUl0YWxpYwov VHlwZS9Gb250Ci9OYW1lL1I5Cj4+CmVuZG9iagoxNDIgMCBvYmoKPDwKL1R5cGUv Rm9udAovU3VidHlwZS9UeXBlMQovTmFtZS9GMjUKL0ZvbnREZXNjcmlwdG9yIDE0 MSAwIFIKL0Jhc2VGb250L1FWUUFDTitNU0FNMTAKL0ZpcnN0Q2hhciAzMwovTGFz dENoYXIgMTk2Ci9XaWR0aHNbMTM4OC45IDEwMDAgMTAwMCA3NzcuOCA3NzcuOCA3 NzcuOCA3NzcuOCAxMTExLjEgNjY2LjcgNjY2LjcgNzc3LjggNzc3LjggNzc3LjgK Nzc3LjggNzc3LjggNzc3LjggNzc3LjggNzc3LjggNzc3LjggNzc3LjggNzc3Ljgg Nzc3LjggNzc3LjggMjc1IDUwMCA3NzcuOCA3NzcuOCA3NzcuOAo3NzcuOCA3Nzcu OCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA5NDQu NCA1MDAgNzIyLjIgNzc3LjggNzc3LjgKNTAwIDUwMCA3MjIuMiA3MjIuMiA3MjIu MiA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NTAgMTAwMCAxMDAwIDgz My4zIDYxMS4xCjYxMS4xIDYxMS4xIDcyMi4yIDcyMi4yIDcyMi4yIDc3Ny44IDc3 Ny44IDc3Ny44IDc3Ny44IDc3Ny44IDY2Ni43IDY2Ni43IDc2MC40IDc2MC40Cjc3 Ny44IDc3Ny44IDc3Ny44IDc3Ny44IDc3Ny44IDc3Ny44IDEzMzMuMyAxMzMzLjMg NTAwIDUwMCA5NDYuNyA5MDIuMiA2NjYuNyA3NzcuOAo3NzcuOCA3NzcuOCA1MDAg NTAwIDgzMy4zIDUwMCA1NTUuNiA3NzcuOCA3NzcuOCA3NzcuOCAwIDAgMCAwIDAg MCAwIDAgMCAwIDAgMCAwIDAKMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg MCAwIDAgMCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCA3NzcuOCAyNzcuOCA2NjYu NyA2NjYuNwo3NzcuOCA3NzcuOCAwIDAgMTAwMCAxMDAwIDc3Ny44IDcyMi4yIDg4 OC45IDYxMS4xIDEwMDAgMTAwMCAxMDAwIDEwMDAgODMzLjMgODMzLjMKNDE2Ljcg NDE2LjcgNDE2LjcgNDE2LjcgMTExMS4xIDExMTEuMSAxMDAwIDEwMDAgNTAwIDUw MCAxMDAwIDc3Ny44XQo+PgplbmRvYmoKMTQzIDAgb2JqCjw8Ci9GaWx0ZXJbL0Zs YXRlRGVjb2RlXQovTGVuZ3RoIDI2NDIKPj4Kc3RyZWFtCnjarVpLc9s4Er7vr+CR qkQI3o+kcpjUbLZ2aw+zNa7arUrmINu0zUSWHJGO438/3XiQIEHJ9mQvJkWAQKP7 6/66m64oobS6rvzlH9WHszcfTeWI09XZVaUZMapaa46Xs18/1bsVN/X97Yrb+vyw 2a7Wgsr6brWG33scesCR5oDPVb2/Clf1Gq6M1pvdJT7QdX/ThJG7zaFvwzKq7u5v u+mLw7zPXJlD18cf9eqPs3+9+WgHMbmQRMiKRhH9KBPDsCFaxMHPXLIwPh7SkfQq +7yKcsGJDJ5IpxN14ahJMumPxNKRVN32uGy15ooRYao1Y8QFlbXwKneu3my7Pc6l ddcf2ot++xh+Xex3u+aiby7DtIe2vwkD8fQwv/l23+wumjDhF2qcohQFoKbexNW7 fuOXwPntLlsAB6/22204TLu7fhv1M6qPgtiMaObF/e2wh9MLXu+7tm/3uJQVNRzK n+/vZx4hTA4vMykId9XaaSLCCme4rZSAkHa3OTyG+65ZKVr7c6wUq5u5CZ0kUkcz /IgSskoTZ3BUEQ1bMCJdsNP8bU3A3MPwk+/z+fuGGDe+/3a1ZlqHi8GLECIt6oY1 OUVYjYt+jbvKDFiAhGEccSAlWCwo5LL93nb7Q/gBsJqBUhsiVNTHJz7f26A/CqL5 EcRbb5JhwhLqGUWLR9z/UcjOOOFpuL0K2BbCEMVybAf4K3CVnYezsjjZXwN61YgC vEcUsBMoYMIS5V4IA3MEBrREiZbPXZu/cG1LUoiZo2eud0lckuIZErpjApZws0TO 4IaW2QTND3DDHwtwE8Qk9/tU6EbgLPgT0CTDOJcVHMXGcQN/KJvAkQ7vS2ItwjFO GOGY7aEJTxpkKdRQiMwPlZCcCHifUUWMqW4rAbQkxfBgW/0OQQmmOZQQ0MlQU7iQ KJQPRAaCwss4XKKe43pBCBIGdRXRfgUHoALtA9RAbFiBEQ5mZlzVH9ovEMTb7yuB sF4LI+tD091v+y6Pm6MkFoREmlASrYZr/YL82QemDM4D/PIdHzbefeDxuSfa5rrd 7SCQhxkPfka4bzZd6/0Q7u8OnpC/e/pKq276MDisv0NWiHzuOc9zNwwkiGQkC8zm EkbuursFYOvkuutIoCAMXm7b3T6s3kWWtJqoCUvebLy0/liSS4gUt23IK5pDe9v0 INecMSwGownnZ+olNg69wkWAwHBZHQKW5JhRaIrawIdBrfu+39++jmy1Qb08FnGV MYVQDiv/tlpbXv++WhsF93PMcwigpvJ5yRTzo0cD72qQc/EAmhgBcAROxOEoVtsV AdMSlmxyNV8/uB0jankLRSSv0iiBY3BWf3gMKglZANqua9fJZsAYKrdZSA+kVsEP pJaYBvkHY8aBrKeFxx6ewlkYO4RJG59NPoY3McX7ARnM/ICGo4PQScwTOYtJOeR2 hi46fIwqfnsTsI/bXze75rDpA+RQ5vvdxXgkzPTwitNnMq2ZU0ieXhX6pf6gB3/Q 6A/AqnKCfgG5V0InjgW/9OgMD3wOChnJttldQ65YIMIQaqcKm/gFT6zelediSGMY 34w9CilTktC4PjDCSEFloi5G7/lRwnFQF6bh3Jj6fZGn+XoEfEOe4Mgh7fk65RHm GDoV5LoKZwCPUEcYHx4EHpmYEOxMAfKce9LOco5JdcFcUV1kYWoMmj8W3nXsZe/O EhaOCs3ylWxtyCXA+4cJP7m++Mn1x2Q6JEeFIwM05ItU4Y5I+rVMqiiCIgatd4VL QHYxlIc1B+wNhJ3qXy4V+pTnqVCIof8FEoWbPJCgg46BBEcTk+aHhZrJumfTiEUa UacyeQpZyTDHZ34oVhuyh12IKecx2E5Eh5o7RHdG4X3nfV+piHSo/CzwJ46DA3A9 Ot4sQ2NKEe4TI0ogm7qtmAZyGX4nx8qC1PCCSxR3HIBmAnCeOQ/kcYAbGbz9f3NY rGFz5ktbKSf0kSemJXmcyEnzIyis/pAA7Gny/euR0rwoUsLFwjplfOJQDPIXedax neYGUERh6hwNWOifhgDBMHn3uCzBPbLRU/ovSiXBEahAWFqf5gI2bj4iFpGpMsAK 7rDwnCN21MTwwnDeZzKBWVJ00YDwldQRI2Qk8eqvhEUz0T5b0v6rAhWAbGNC4bcY NSEyWj1ETbEUNQUdapuWNOT1S6Omv8ZuF0nLfwOnoUAh6Bx0uE87Wt81ubit3vzz Vle/7qv/ZPJIoHsejvOxvb4/YBrIZK2BkzQ1sW3FVN201zehFisaOr4PeqoC4irP +OxiBeR3DW0+3G6oROB+kuvhg0lZxEJZtC7rIozfk3Kq+Xbv26qo8H24arLU+JO+ ORprWcKwmlUUalHf9TsPRW1qAp77vmDTY437sMLbZrdA5A7DbtDChzkmNYaMMSru CpEc8sIwjuVaEc/4uP4zSzD1RAmW9S2OVuoSsMUD0/x3BcpAsHA6L7Px0XlqBaC5 t4/hoa+9y3JSE53C/JdCWQ47qvP6LXt9UsB9KSvIIaS8L0I3IsVgx0hH1SjjTw/6 UH737OFkT0EEZszJQGgA9v+tgTMpId/gmN44/hwpzTEhsbalGs3Gk40u98ksvi0L lW9Kj/Bp0/Wb823b3cR2BKs3sQamsG/uZ6OHjOGPWR9n1oqLlDXCyUUg6oXMV2P6 9kx/eRfzCIgzeUNRZ6kEN2oxuxY/l29OTGbQrhOBbF5ygz/zZLS3J71KSYoshBMf bppDU3o78LJ9SjtqKovJdcvd4CKXzW7fhwAcW2CScQipfbjxFT+OHJowieOXlEKV nI5R/imJyhRAjR47je0USgtPPLruw+8Yw1EOiOFzLdPMpF8XWjspE8Guh8Dj+i93 sf8mmMGZGZBTHAt0LE1qFkobfQTvLrabrgvDw6P9ve8hho9PMBD9aC6uhnTtmY2q I6my+tlMGRMQxYZcRPGYi8ApJrkI/M5yEWy7xauvDl9HvgUAu7wD5LtayLOpqzUX UxKqj/axLEaME20sisCJlQjJYk1yI+OrcRz+N8JZaIu2hqv/Mnjow+1QAsLw/rxr DtHc2qb+nDCxP4fTj5yEGYnuf/wo9uRRGGFZR05ATGw2F7jRTZBkqVUmtFnyRWzP 5KkA+8lUoAxro9xg2/DVwREqov/6KGHrzda7qUsxxdXBmR7ieAgs7ljDDmsYe9yT 1fBBAliMevvOO/N2bIKeLSQZWNinusPzWxG2IBwIs8Qzk04qyypW35GOn/TD2Qqx JB+/MDZF9SH9p5Tjn3T99+Bh+N2sfTT+MmFMpy2yD7Qa25jjFjelbpnOT1R8FGZJ 9zcl9JDfTqLcja0Dr6H48SZAInaVsUjSmFZmkXjbbMaMEn3Y8oWvMcibdmrzvGLk Y/QXDmqrg28eW2waX/VhTV8XwJNDKnfi3PBNFwZCHICZx+KAFGN4bUsZBtd8j9HW lSZm/l8G6GjguWWjuaPxSyMIKObZiYobwiZ3oxXwLAs4hTRtSMJ3ZRHtcsdYOGb+ WTh+Qwv6C+zi9/yOsazZRuqADX3zy6WWpYkR/W9/AhP7YkgKZW5kc3RyZWFtCmVu ZG9iagoxNDQgMCBvYmoKPDwKL0Y3IDI4IDAgUgovRjggMzEgMCBSCi9GMTMgNDYg MCBSCi9GMTggNjggMCBSCi9GMTQgNTAgMCBSCi9GMTEgNDAgMCBSCi9GOSAzNCAw IFIKL0YyNCAxMzAgMCBSCi9GMTAgMzcgMCBSCi9GNiAyNSAwIFIKL0YxMiA0MyAw IFIKL0YyNSAxNDIgMCBSCj4+CmVuZG9iagoxNDUgMCBvYmoKPDwKL0ltNiAxMzUg MCBSCj4+CmVuZG9iagoxMzQgMCBvYmoKPDwKL1Byb2NTZXRbL1BERi9UZXh0L0lt YWdlQ10KL0ZvbnQgMTQ0IDAgUgovWE9iamVjdCAxNDUgMCBSCj4+CmVuZG9iagox NDggMCBvYmoKPDwKL0xlbmd0aCAxMjc4Ci9GaWx0ZXIvRmxhdGVEZWNvZGUKL05h bWUvSW03Ci9UeXBlL1hPYmplY3QKL1N1YnR5cGUvRm9ybQovQkJveFswIDAgMzY5 IDE1NV0KL0Zvcm1UeXBlIDEKL01hdHJpeFsxIDAgMCAxIDAgMF0KL1Jlc291cmNl czw8Ci9Qcm9jU2V0Wy9QREYvVGV4dF0KL0V4dEdTdGF0ZSAxNDkgMCBSCi9Gb250 IDE1MCAwIFIKPj4KPj4Kc3RyZWFtCnic3VjNbtw2EL7rKXh0UizL4T+vBfoA6S7Q Q91Du0nqNFYCpwX6+v1GIjlaSXadbU7GHlb8NJz/GQ71oIy2toTsleHfcnEeh4fh +5+8+uOv4Q0ejYopaHJejQO/vx8omqRtuHhuNPfD3fCz+jQ8KK9dCGliuXg8j+qH E9gXRUabrE7vB5pekLLOaB8U2cB/p3G4+fTq9OdEG7VjyqBjLKWog9MEirfDzYdG Idx0zqVkZXUgpmWqAzHZwRpNEaIY+nhgqCRtLNh5/mP43WMSl+y2Qp2F8YqCTuFp Nk6nbAzNbL6jDaODjZYfyWnrJqprfHAoWRdSh2QnT15vFywie+HKr7Hsx5N6g+h+ GIgKcgR7wM8gWcYFYnTJcB3e8D9nUzIJa9LFU1+fB8JTkffG62i97O/rWQLTN6Ro E6Oq+63VzlvhX9egbxp0iqZh3b+y4Ty8f41kc8maoP55oSbeDcchonpTUq6gLEuC YR0gZFcEtSaDdHE5a8oqoKRCiW15HoLThiC1Ar7o5K3t22U98z8PghQdXFGNgTdW Z+R8k9DW56Gp0JCu4cxgZcEUuRdoFQfLRV1cnFppDhZmNcBG8CDlnI4B5WqtAxOv bNGRcurr84DuG1LyQoFcMWhujUNfVxHY0RGvc8F/4+DgmlhERl2fh65FRbrWM4OV EVO8XqZhHLJWdWJaR6pmrW6b5q2yxba58vv72hf6/rbucgWZFav7q9adf7era9Ap ms51/8qGuTm+SMPmkNXW2ps9zv+UkqvVmDEG7VJZQmsPF1TrnftUvf8IVU0+5w0e IqgkHWdd9/c1rWSfeEX2XTf4uQwOkXucxSTkuErRDzOaVUPuO+IxjQUW7zJGiQCF MLSA54TMbDrJXd8VCYcj4jR2oobItpCLLtEuWEe2EB1UpAsNxtXXmFd/4aGnpOjV rzDv7fJkxwAjjFooRWsJ0vXT8kraSslxz5CNsce138Y91669f63WviB9LPdfFI7h xAqGIMR15F6QEKrWvkRNxOXpqtadT6e56/sk2I1Kgt0Qsb/xFh81Pl8ZbGHUgi1q /98K2QZ7reS4Y8jW2OPGceOOc7cBOP7nxQxtNXFqLC5mDqOiZ9LpUvbl8+e/NxeF 4nVQB8w0Yb5vfOzzf+brHKxtvnNoUxaXk4AGmzE5fXkHpfBCZw9jMq5Qkzsb4nAT osSqZ8iYJrItAl7OcTYXF+Zzd4tcNGa8TgthRBlt2HdkJrrEhEoUID6Y3A7QxZPF mMZmbJGFQmsld31EBoNfJuWDQQKVR4jI821BBRO0jTRpXRHcUZOxU7+f7dhBkkMD 8WLIBmg1MXnIQwOky0IWRl/OgIbMVJfYgkrkY4DVifYQUSDgiMbptkUudLpUc9dH 11UukiZpjxkkGe3zPM1UJPPMnyc/8hnsLpBAGvMD0gMNZ0lS2TDrjEEzwjVt2yhI p8qIuo95iaDPBhR1Z91JuvRntbtWoJXP2Mqj8/12vW6t4fiEEd3O48Zn4xNu7bZf H2dct6YbHC5syU3CZiTAi8nz4YOp0vOnniWC5psWid9IGhtmXZDe3sq2sSNCVaLR Fg13gSDLLepdeDcaEf+sQLcus6jE2lKW9fqtYr1WcnzCEDH2uHHc+Lhvxf5nHWub D45ItcIft0pBDvHRdnvz2+2r7UcwdByYizKxcrZdcvSTQw6d5Pbm95nRdATy71/k GDn9CmVuZHN0cmVhbQplbmRvYmoKMTQ5IDAgb2JqCjw8Ci9SNCAxNTEgMCBSCj4+ CmVuZG9iagoxNTAgMCBvYmoKPDwKL1I5IDE1MiAwIFIKL1IxMSAxNTMgMCBSCj4+ CmVuZG9iagoxNTEgMCBvYmoKPDwKL1R5cGUvRXh0R1N0YXRlCi9OYW1lL1I0Ci9U Ui9JZGVudGl0eQo+PgplbmRvYmoKMTUyIDAgb2JqCjw8Ci9TdWJ0eXBlL1R5cGUx Ci9CYXNlRm9udC9UaW1lcy1JdGFsaWMKL1R5cGUvRm9udAovTmFtZS9SOQovRmly c3RDaGFyIDMyCi9MYXN0Q2hhciAyNTUKL1dpZHRoc1syNTAgMzMzIDQyMCA1MDAg NTAwIDgzMyA3NzggMzMzIDMzMyAzMzMgNTAwIDY3NSAyNTAgNjc1IDI1MCAyNzgg NTAwIDUwMCA1MDAKNTAwIDUwMCA1MDAgNTAwIDUwMCA1MDAgNTAwIDMzMyAzMzMg Njc1IDY3NSA2NzUgNTAwIDkyMCA2MTEgNjExIDY2NyA3MjIgNjExIDYxMSA3MjIK NzIyIDMzMyA0NDQgNjY3IDU1NiA4MzMgNjY3IDcyMiA2MTEgNzIyIDYxMSA1MDAg NTU2IDcyMiA2MTEgODMzIDYxMSA1NTYgNTU2IDM4OSAyNzgKMzg5IDQyMiA1MDAg MzMzIDUwMCA1MDAgNDQ0IDUwMCA0NDQgMjc4IDUwMCA1MDAgMjc4IDI3OCA0NDQg Mjc4IDcyMiA1MDAgNTAwIDUwMCA1MDAKMzg5IDM4OSAyNzggNTAwIDQ0NCA2Njcg NDQ0IDQ0NCAzODkgNDAwIDI3NSA0MDAgNTQxIDI1MCAzMzMgMzMzIDMzMyAzMzMg MzMzIDMzMyAzMzMKMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMjUwIDI1MCAyNTAg Mjc4IDI1MCAyNTAgMjUwIDI1MCAyNTAgMjUwIDI1MCA2NjcgOTQ0IDI1MCAyNTAK MjUwIDI1MCAyNTAgMjUwIDI1MCAzODkgNTAwIDUwMCA1MDAgNTAwIDI3NSA1MDAg MzMzIDc2MCAyNzYgNTAwIDY3NSAzMzMgNzYwIDMzMyA0MDAKNjc1IDMwMCAzMDAg MzMzIDUwMCA1MjMgMjUwIDMzMyAzMDAgMzEwIDUwMCA3NTAgNzUwIDc1MCA1MDAg NjExIDYxMSA2MTEgNjExIDYxMSA2MTEKODg5IDY2NyA2MTEgNjExIDYxMSA2MTEg MzMzIDMzMyAzMzMgMzMzIDcyMiA2NjcgNzIyIDcyMiA3MjIgNzIyIDcyMiA2NzUg NzIyIDcyMiA3MjIKNzIyIDcyMiA1NTYgNjExIDUwMCA1MDAgNTAwIDUwMCA1MDAg NTAwIDUwMCA2NjcgNDQ0IDQ0NCA0NDQgNDQ0IDQ0NCAyNzggMjc4IDI3OCAyNzgK NTAwIDUwMCA1MDAgNTAwIDUwMCA1MDAgNTAwIDY3NSA1MDAgNTAwIDUwMCA1MDAg NTAwIDQ0NCA1MDAgNDQ0XQovRW5jb2RpbmcgMTU0IDAgUgo+PgplbmRvYmoKMTUz IDAgb2JqCjw8Ci9TdWJ0eXBlL1R5cGUxCi9CYXNlRm9udC9UaW1lcy1Sb21hbgov VHlwZS9Gb250Ci9OYW1lL1IxMQovRmlyc3RDaGFyIDMyCi9MYXN0Q2hhciAyNTUK L1dpZHRoc1syNTAgMzMzIDQwOCA1MDAgNTAwIDgzMyA3NzggMzMzIDMzMyAzMzMg NTAwIDU2NCAyNTAgNTY0IDI1MCAyNzggNTAwIDUwMCA1MDAKNTAwIDUwMCA1MDAg NTAwIDUwMCA1MDAgNTAwIDI3OCAyNzggNTY0IDU2NCA1NjQgNDQ0IDkyMSA3MjIg NjY3IDY2NyA3MjIgNjExIDU1NiA3MjIKNzIyIDMzMyAzODkgNzIyIDYxMSA4ODkg NzIyIDcyMiA1NTYgNzIyIDY2NyA1NTYgNjExIDcyMiA3MjIgOTQ0IDcyMiA3MjIg NjExIDMzMyAyNzgKMzMzIDQ2OSA1MDAgMzMzIDQ0NCA1MDAgNDQ0IDUwMCA0NDQg MzMzIDUwMCA1MDAgMjc4IDI3OCA1MDAgMjc4IDc3OCA1MDAgNTAwIDUwMCA1MDAK MzMzIDM4OSAyNzggNTAwIDUwMCA3MjIgNTAwIDUwMCA0NDQgNDgwIDIwMCA0ODAg NTQxIDI1MCAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMKMzMzIDMzMyAzMzMg MzMzIDMzMyAzMzMgMjUwIDI1MCAyNTAgMjc4IDI1MCAyNTAgMjUwIDI1MCAyNTAg MjUwIDI1MCA3MjIgODg5IDI1MCAyNTAKMjUwIDI1MCAyNTAgMjUwIDI1MCAzMzMg NTAwIDUwMCA1MDAgNTAwIDIwMCA1MDAgMzMzIDc2MCAyNzYgNTAwIDU2NCAzMzMg NzYwIDMzMyA0MDAKNTY0IDMwMCAzMDAgMzMzIDUwMCA0NTMgMjUwIDMzMyAzMDAg MzEwIDUwMCA3NTAgNzUwIDc1MCA0NDQgNzIyIDcyMiA3MjIgNzIyIDcyMiA3MjIK ODg5IDY2NyA2MTEgNjExIDYxMSA2MTEgMzMzIDMzMyAzMzMgMzMzIDcyMiA3MjIg NzIyIDcyMiA3MjIgNzIyIDcyMiA1NjQgNzIyIDcyMiA3MjIKNzIyIDcyMiA3MjIg NTU2IDUwMCA0NDQgNDQ0IDQ0NCA0NDQgNDQ0IDQ0NCA2NjcgNDQ0IDQ0NCA0NDQg NDQ0IDQ0NCAyNzggMjc4IDI3OCAyNzgKNTAwIDUwMCA1MDAgNTAwIDUwMCA1MDAg NTAwIDU2NCA1MDAgNTAwIDUwMCA1MDAgNTAwIDUwMCA1MDAgNTAwXQo+PgplbmRv YmoKMTU0IDAgb2JqCjw8Ci9UeXBlL0VuY29kaW5nCi9EaWZmZXJlbmNlc1s0NS9t aW51c10KPj4KZW5kb2JqCjE1NSAwIG9iago8PAovTGVuZ3RoIDEzMDgKL0ZpbHRl ci9GbGF0ZURlY29kZQovTmFtZS9JbTgKL1R5cGUvWE9iamVjdAovU3VidHlwZS9G b3JtCi9CQm94WzAgMCAyNTcgOTRdCi9Gb3JtVHlwZSAxCi9NYXRyaXhbMSAwIDAg MSAwIDBdCi9SZXNvdXJjZXM8PAovUHJvY1NldFsvUERGL1RleHRdCi9FeHRHU3Rh dGUgMTU2IDAgUgovRm9udCAxNTcgMCBSCj4+Cj4+CnN0cmVhbQp4nN1Zy47kRBC8 +yt8XJA2qffjisQHLNsSH9DswqJupIEDv0/azsisdg+eEUdrpJmp7HBkhKsq011+ mR2F0HNLs1t+xsH1Pr1MP/yc5t/+nj7xv25OrlOKZb5Py+e3yXvPAf/wPzC36ffp l/nP6WVOFHOuK+Xw7/U+/3hh+j57R67Nl6+TXz/g3+RS773GOVKNzvn5cp8+fPnu 8seKLxQXdOJszoX5YySf58uv0we/IH66zJ8mT7EGl+d/mPPbVEOlxMjSKLaU55yo Nd/0719fps9TbYECOz8EtVjJl/I+Jh8iBQYfMh2DeuBb0d7JVBv51N5gOgL1VKiH /gaTpAsxkovH2Y4wSPYuTKvUfXgdxIvAU/NvgXKh8k6mmALVno41HYKQ7hDEHyXe LbxI9wv0rhHM/O1pVQ0Rma7b01KwCHzfnu6pRWKvVGrZ9rIn3qfPEbtqf9stYtn3 C2qIqIv9GrcI7sbt6f4stYXvX3JUWxSVy12zSKQSE6+tStktPhwXnm09Js6B8XXi ckcpJEOEsipVBh1vOZYrtkhis9XzHRGG5BL1HjUHxnyFqFCEqFSGnY/r9PX7oYKd 1+YyiT56ct6W432IRGqV10XlfcJ0zVHu2/qvvBYwvk5L4ynFG8Jzh2hZCXS4ZVgu kEj31HOclaDnpf9ZChnzFRABBDSCYedim8KTWlumLWYWlOrgzSKrtJgqhWrKY4or vXmLsZNvzRAxr1Qg0CHyakSUKYEo1xTqTUUAAY1g2LlYp+2s1taS6SnkbA3iPkQS ed69nuG1Z/7rqEUu5pF6bEHH16lT66VXjXCjC65lZbDxluM6aYQblm99VoaWuYZk yyFjXpRQIRFVKQx7H+vEndfcWCjNnUXEnexkdSd73dyhGihCqoUy6BiZNSLalAHu kMPcQYX6F5Vg2Pl4KJXnMzc+qAwLUyObNvROaEd3NXfov4qQ/qwMOkZmjWBZgQHL DjnUnaoAAirBsPOx7brTmhv7nLmzyKYNhRjaUarNHYq5IqTYK4OOkVkjok0ZRLvm UHeqAgioBMPOx0OnO5+5sddtXxri0A5KoriWkq0OF96zpXSt1BhbN0AEtV4IdCgZ rBnUwKsxZ20GNXMh4WdgpMDYmgEi0AiGvYuHTnc2a2OfM28aEW9Sg9WbVGnzhjqu CKnzIMBQ8yICZSBQb5Ji8CYizP2mURl2Lh663NmsrdPGe7M7P3pDRKTxZi1hWJK8 WZeTxsEbl4ycwoDw64mArmkZmjeJqDIhUOWSYvAmIhQhGpVh52KbtpNaW4skf30o JY+VBJFNWuiBP+mqPDRGpjp4C42RrgwIvxzo4XoZaVYJaBGQq7VICL8ZgwJFiEBl 2FnYKuQZfY0PJGZMI5swNEvIRjs1Y2i4ipCGDAIMNS8iUAYCKEcK8wYRihCNyrBz 8fA4cjZry7Sl4iiOJQSBTVjKlRePVYyUw3qGZs5Savy93ipISnk9mgUBhpoVEegC AXQjhTmDCEVsEpXg0cI6ZWe0tXYzPYnDGZCdqeJI/PNTjBesHgXhUHx5oMEhg363 3bHfDjPa4fnnJ37L+BpqeK7HTtED9NdQOj0D6lmXffO2jK94xBPnK1zPd2JE7X0z Cv30EKUVfED9j5ePIfNT6RxpeOnoubPOjsryKtKvbxrffhcZgdAEIZDjqk7Z997/ i8V1fqQ2lvTEUvi2Lm9EFfK2lPwsxfPaP6TY6SgL4mMtFCLfpCUS9F3r8vMvWt3k uAplbmRzdHJlYW0KZW5kb2JqCjE1NiAwIG9iago8PAovUjQgMTU4IDAgUgo+Pgpl bmRvYmoKMTU3IDAgb2JqCjw8Ci9SOSAxNTkgMCBSCj4+CmVuZG9iagoxNTggMCBv YmoKPDwKL1R5cGUvRXh0R1N0YXRlCi9OYW1lL1I0Ci9UUi9JZGVudGl0eQo+Pgpl bmRvYmoKMTU5IDAgb2JqCjw8Ci9TdWJ0eXBlL1R5cGUxCi9CYXNlRm9udC9UaW1l cy1JdGFsaWMKL1R5cGUvRm9udAovTmFtZS9SOQo+PgplbmRvYmoKMTYwIDAgb2Jq Cjw8Ci9GaWx0ZXJbL0ZsYXRlRGVjb2RlXQovTGVuZ3RoIDE1MDQKPj4Kc3RyZWFt CnjapVdLk9s2DL73V+hIT2qGL5FUdnpomqbTHjrt1Le6B61XXiuxpY3szTb/vgBB SrIl7zbtiS8JBD4AH8BMcCGy+ywMP2VvV6/fu6zghc1W28xK7vJsaRUOq3d/sna7 WBphWNMulsqxu4qWdbP4a/XL6/e+/9MUXJpMhJ9WdDiIlZIrHQ+fdvVmAaJ2KEmz +kgSt+VpV3U0T5fCDk32VYm/fF4oz6rj5dVSee5tFF/RaZFZXrigGLcmW0puinBe X+rmuDZZf1w2d5fiFSDlnpGup9Kl7D9Q3Kv48ys5wUXw3A+XfwvWKhl0CGbvygjO oW7qQ7lPYAAOllV7lJYtlS64lqCD5AX5bM02AFi3/7LwGmWqwjARFdODw3IukmZr Zd0EVdBNxvPm0uycF37G7EG65WJk2EvyP878DwGYlDMT4Dwvings1wuOuHn2a4tB 8gQGe4N/6TWbiVInr0Wp4yqdrRckBaNT+Rzifq1y11R3tCzjdknDQ8iNFgAHv7Tg LEwWwP6pPu0mZoO7XAqn3dSuPJ11ZM0xOFCzqtyg9F10egHpNvZ520CqaO3ozjCr /i43J9DpQgGXc+3OcR/f7xPsm2q/x8u19hSRKPP4mHIXV6ddeaLZtu1oUjZ4/mWa oorLBO4kBS1XKX2/I9zlREDO8/TNzWIprWVvcHA09KsbGnaTgNJiUGAuogqM6BhR ybpqQgWghb5mRc5twvUVWKHyJKhLcam1xYjqPWjM2IUP+3KDAaZzzz48HhHZvGDl LQUXOp/4D/dntSscF/aadpqbpHkIELikC0Kf0MdWRx/DjYd24NqoTtvQGAgZv+nq +x1+dSJlblHQ1Om5HWh/muKOez9xyBk/SPUS/+RX6CfnLkunc95G4XrkbrAtxDtN 1+xYVclNFl0+ctP7+v6xC8mmmUPuwe9+XGWfoKJ657zABBLDwkluBQiyFnayzSF7 /fPBZe/a7HeovangKu+582fyLcDrMKqFVmy1izu39Ydqc6rRIWGJ6cKqEwUYTqtw Ytmpq6BSho9SsR7ho8QoH99eogsmmwHd5mZCExL+LnqAIYCcEIBauV7EeQgmvPsh KBio0fXU6NgzqkHmAHYxM2y44LfF0iv2B4jOYU4/iKHCKq4cFGJ96e7BIMDf4UfP mqN4oZI96Nw1ux25F3zlJWb4Uhu4kCpISAcoyV1V3mHzokXONmVDm1V5rMFu2gys WYXhI27pRJ5wOF+qZG6GIjdXq4ZSNS2eNrViCuF2AUF9FUENhnlE0LyAoP0KBGWM Ah0aubGtNMPSimclLWNgf0aEUu5pxa0a5972sQnBf4OUBW1R21WJrOAvdECu2bZr Dzgzia5MKt81JQ7uYIuJY9QHZvWJxm273xMxHkleVH4sLxS5xwMmHNEz3T2I7ZIE NESMYzl8gdE163SI5cL+y/4EpQQQYaw+PWJ7iNNTi2NSFjbmldWmV+Wiuw57cHYZ j1Zwra52+GKojESfQcyYLP0lWRqhtElkSQuJFbbIlsbmmM/Elv6SLY3vYzFdYIRn Htgyh1bpe1relvuyCRUVV8iHNKPXhYd0HIqYEY5p2o7dt0+vD6gMbddVx9jkNXd1 c0/7c9yGglLblxxPsRvr+OkUovMM/uaeejbNNI/JOeAOQozDahVqFQfugZogc4Fm akjqUUUISxgUVgQtoSLgtJpyLDahPf0jN8iX2fVZboDaNi7U8rzNN8AMxp6/r8bF aFSLfphWepWPXhrNwMdnfStRc24Nd4TUzw06Q4AX6YUp2UPZlfdd+bCj5RMxTfjo qd7vafeuOm66OpZV2irpmxHOuDtbeSeW4SPrK3H+71XMcsC95+BZpOEpa55BevxQ fqbs98/VQNPaCHw1jGmaXgP62mtAm6FRnfaFfngNrJUTc0yj+tZtqM7SF+EtbkV4 VEcQY/17M00BKJIjx6j/mQDT4ghh299lcNJ7BqzKZ1KSe/21rvHXXPPmErWl0dxi o1lg142f+IjdN/8A/+ZLsAplbmRzdHJlYW0KZW5kb2JqCjE2MSAwIG9iago8PAov RjcgMjggMCBSCi9GOCAzMSAwIFIKL0Y5IDM0IDAgUgovRjExIDQwIDAgUgovRjEz IDQ2IDAgUgovRjEwIDM3IDAgUgovRjE4IDY4IDAgUgovRjI1IDE0MiAwIFIKPj4K ZW5kb2JqCjE2MiAwIG9iago8PAovSW03IDE0OCAwIFIKL0ltOCAxNTUgMCBSCj4+ CmVuZG9iagoxNDcgMCBvYmoKPDwKL1Byb2NTZXRbL1BERi9UZXh0L0ltYWdlQ10K L0ZvbnQgMTYxIDAgUgovWE9iamVjdCAxNjIgMCBSCj4+CmVuZG9iagoxNjcgMCBv YmoKPDwKL1R5cGUvRm9udAovU3VidHlwZS9UeXBlMQovTmFtZS9GMjYKL0ZvbnRE ZXNjcmlwdG9yIDE2NiAwIFIKL0Jhc2VGb250L1FPV0ZUTCtDTVI1Ci9GaXJzdENo YXIgMzMKL0xhc3RDaGFyIDE5NgovV2lkdGhzWzQwMi44IDY4MC42IDEwOTcuMiA2 ODAuNiAxMDk3LjIgMTAyNy44IDQwMi44IDU0MS43IDU0MS43IDY4MC42IDEwMjcu OCA0MDIuOAo0NzIuMiA0MDIuOCA2ODAuNiA2ODAuNiA2ODAuNiA2ODAuNiA2ODAu NiA2ODAuNiA2ODAuNiA2ODAuNiA2ODAuNiA2ODAuNiA2ODAuNiA0MDIuOAo0MDIu OCAxMDI3LjggMTAyNy44IDEwMjcuOCA2NDUuOCAxMDI3LjggOTgwLjYgOTM0Ljcg OTU4LjMgMTAwNC4yIDkwMCA4NjUuMyAxMDMzLjQKOTgwLjYgNDk0LjUgNjkxLjcg MTAxNS4zIDgzMC42IDExODguOSA5ODAuNiAxMDI3LjggOTAwIDEwMjcuOCA5Njku NSA3NTAgOTU4LjMgOTgwLjYKOTgwLjYgMTMyNy44IDk4MC42IDk4MC42IDgxOS41 IDQwMi44IDY4MC42IDQwMi44IDY4MC42IDQwMi44IDQwMi44IDY4MC42IDc1MCA2 MTEuMQo3NTAgNjExLjEgNDM3LjUgNjgwLjYgNzUwIDQwMi44IDQzNy41IDcxNS4z IDQwMi44IDEwOTcuMiA3NTAgNjgwLjYgNzUwIDcxNS4zIDU0MS43CjU0OC42IDU0 MS43IDc1MCA3MTUuMyA5NTguMyA3MTUuMyA3MTUuMyA2MTEuMSA2ODAuNiAxMzYx LjEgNjgwLjYgNjgwLjYgNjgwLjYgMCAwCjAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgODMwLjYgMTA5 Ny4yIDEwMjcuOAo5MTEuMSA4ODguOSA5ODAuNiA5NTguMyAxMDI3LjggOTU4LjMg MTAyNy44IDAgMCA5NTguMyA2ODAuNiA2ODAuNiA0MDIuOCA0MDIuOCA2NDUuOAo0 MDIuOCA0MzcuNSA2ODAuNiA2ODAuNiA2ODAuNiA2ODAuNiA2ODAuNiA5ODAuNiA2 MTEuMSA2ODAuNiA5NTguMyAxMDI3LjggNjgwLjYgMTE3Ny44CjEzMTYuNyAxMDI3 LjggNDAyLjggNjgwLjZdCj4+CmVuZG9iagoxNjggMCBvYmoKPDwKL0ZpbHRlclsv RmxhdGVEZWNvZGVdCi9MZW5ndGggMzIxNgo+PgpzdHJlYW0KeNq9Wt2P3LYRf+9f oUctYjHil0TWTYEmqYsULRAgB/TBlwf5Vr6Vfbt7lfZiXP/6zvBLlMjdu7OdwPBJ K45mhsPhb4YzKmpS18VtYS7/KL6/+vZNW2iim+LqfaEoadqiahhpZXH149vyX/1p U3FFy4cJr6y8OR6mYduP9mlnH95vKqbK493jhrXlcT8cjptfr/757RsVGFOmiGyK 2jD92Y7OYiklUrnB4WBHKY9eJjS8WoG8XzZVKz0bWhcN0S0SMkZYWwjCrfLXTFBL owNJXVQtEuH44fXHRBMQpQtGNDMUr2B+WpTdYWvne2fNwcrTrrdPPm1YUx5HM16X /eHmaGyxHQ63lnI4TSikqFjdkIYVFUxWW/0e7tFwbWmsyUV53512eMfLd4ZJb178 +xUsUkFbRZqmqDRczMsUX23Lej1BmEHLwAaUGrLejrMGHmmFBJy0CrRwTFbzbwmV RcX920aIygvhzxXC1s6giKKRkD9vKto09tLCZb0kDamlW/4XTlqs9SG1Nd4unbfS qFItXyLn43pmIK6owvDref1iWQ3F3QV+0BBq1fk0nHZrVowT5qft5gNsvSKCNALn I88tI0zUj36TbMaacOFYP2V8QZjfexf59GtTLTXMGBxsMGtYManL6zKREIlPWCjC eVDNMKDXG7hpaKoqh33NHHGy6fUs5LtEA0qEx61DqkHANNSgqdFxuK4RMAA6RC1h J8MGf0Qo0OXP49Eh5TSchuPB0lLCXiVSeY2+cd60fDbtsH4ZFp8H0/4FhLQsnTM4 n/YCjKqifH8c16wqzoxLz5g1rBk1hAXbmU1Dk8lIIrSjeb1yt/nS2LE2XWcGm7N1 7xNQVQgXlgAyTVgCwNz210y2hwViSkYE7jO41swHBJZxMvANdS40gZ962ca5AA1T H2nnxfqYYUAjH2Es5+acKP7kXgcjZjc7hBVVhGEnxG4FuEm3Qk20fubuj/R6ifL6 nO4ZGOBr3anRfS3ExAyvdBZWXe5CG43JBBL+cNd3IyQllaD0zNqL9kJa0mLQmNce uQwTXhkmPvjz5rhf7WgcPL5fi9ENEfSchyjCxAWIFeqSZ/BLngGZTmzcC7yfDgO8 uaRj+/kOoJ+p4i6FbXUBtYO7JKgNTOvAtEN8/g2ztTRiBNTJRAxvjc5ldwBGuNEj pATnc1lgzcrpYb+3QYHXGrJHlGqwqz7nmRRgs2XPc811wtyg0WuXfBlQ/iHJZGBh ZLQwZ3PhQIHQC4j77+PYH43RNpiijmZKqhze24naxLh+3pnAZJvnzgQ1aXVYpSmD uUKezwxaPzYaXT9NrzKhjWJOEK3YLjEkBHjvRtesrTM6hnH6ykYiMMAh3Nmbm+M4 9pMzyME5BZjSoUcb5QPw9Iw7KEg9n4tUKDRjM4zlzfndFLLs+248TSQKpQ5aWQ2R nBuSNxvF4dizqSTlcGSbTt3hpgcLSKntvCUVpZscukDjXACeMzzimfE3w+3D6GiV vVzbXNiwnfr9UFmr9eOw70/9aIkod5LsMel4quwepBrPbdGCno57RGSOiAxXAXvy cIvs8RkyQYc2hzscbOxz7zEW8rmDfFGO/T2sIiwujJ76rYX6dzi1R3tv5o2Un4zL j46E1vCP1uZ/7WQOpCfGI/E8OutL6wTizfJw0pw5rwmE3moe/90Z1F/KgGUYNH+o Bjw9tS0YvE4TLOrh1FYCuDZegdd9d+9c1A2cduPx4XZnf+BehjtRG5+3w729SVMH fMoxA2psItQY8F79am2QLCrNQrwJBQEqNBJToZBR+KXNeVa3ZhvglTKD2sJtNqab 8nbsu1M/nSyBC1f2B7cU4XcUM81AYx871AD/ZuVPjg9aCUn6bnq0T05He71BHrv+ BoPIx3QnnHbdyeKYMyHnzuTCFJ2wRjJ86G/QcjmkahsMb8jpyuzKtilP3bs7c9v6 8sqd3el2eNq5fe+o/Wsr8O4B56YFl5NlgreI/IZX/9vG1HW6O/sAbNMZAJvOINVg UkeVi5qmQjTZYZ9ZxiGKESlfVh0Tq+pY7OmQclSBxKAVwGx3h/Bu8EwjsPWj/aHK 09j3kyNzQKqTuDbZx9bZzFu73tkBK39ikTV1461xQ1zi4IZm+V18DGEVT3yjJ13s peARkD4WnwqtsVIAAR8sUezDT0iBQOhd8YsjozCABTpPF36vCSG9IZzOhOH3TIhH kzghM/kzKCrxuOGXir60kJlOiWvEpv1yil6BOFGBc85CfgiubRRc0bzfWHuu5AVb eIFLY1mJBSYIUi/k+IiLPBF+osRIhPiNcXohLljUi1ua3InDDE4sp3XAffiwx7/v FrVVL9tH97w5JSV17CJWfMZFPOHKLhkf8ZSrKc2UUuEZ2BAyJBSwVpqFBzOhV6rh RMRrLk2KnlHSE8ZaLyiDTp4y1lronCe3JgWseGtOWGjy7/OmRMJISSsh55mSLPmZ BCtdQu8+onSYuO1dPPjmnK86FVb28L5KuVM0SN71AwRukHvK+is3aHfGUZ2slUW9 o1JFGv2yWcLxcT5lnXFX1SJC7Jc2zziCp1taJuMHnnA5rdRXgU7K2Fftg9RX4dpG CipT9s1o6Ohijdss5DrCWONWnnFUDZFF1MoX/X/IGlFA7GliIxoJGUeF4zCmiRFD CE/nHKUf91PeK4O85dyDV5pjXixlriNEETHrhIH10lreCYEl0wvWTzhhEJd3P8Eg ZZ4N56Sni+vpVhZIF9cTruYTFletWygC/FG6oxOBdyDZpbIu/4bl9ihBdD/hwjBd 49i1w9s+02pEdPZH+h/XRZMWK61RzcS9ruJOgpgrJm6hFgIgstOv2cxsZkC5VBWF JJRoe3T/Dx7dMbnlsuxsGj70FmYSbSWfy98fEnNgdU7OjYjUmgAeLHQiPmSqk3xZ wFv2fENT5sMTyZIktcjltWtDndHSJL0MT6Fn1PR6+F4OnuBdw8FsTMEbUxAGg0Y+ h0+BRrqB3GEhmbSEROYp55Nn63UNkXPjJ+d8sAEAp9s43/7MI8O5hvohYYELyUIN LX2/mYc/ZgrcoTJOc8U3ha16HneGrnxu+f545853DjwZnjkbOL2O3Q3g8/C/zh+7 WZqZ9nf93pV6pkCS7mX+DLCQ53qHrQiLNbg21qHvt/2WJLgCR2aJdqog4+XuwwxA ZgtsNN75kFrOEYuTGhZbgqWocmW7tjFlO85q2O6Ald1N0nkWNWGh5ekadlvb+vpr 0ptTRHlaX3cRcTtczT1GDl4/YGrFaLk73m0ne2uO+utzaD1XKt8mZcwZk7brFyWW rO3Yr4k6cmZqDA426KwO2+G3YbJ2oWGlI3XAh/1E3rJ0oSEWhepRDl8Uj8pLuXO3 nhuINNUb1k97WDB1dla7QhRqe7h7dB+YaLMR46oCEgtndaHL/mCMLvxZHO+sy8PN drgdTukmY6HLQp9aX+nVAm5e5PaIXmZSdVDkcDzZmxt8ejycOnOqhwfd4dG+MD28 m4xn/vehPwAZLY1+tniFBLWbwq7zbRuYct3aDzyi7os7d8q2vB2NDsirs+dceAhu d0g+TIFIsmobLZoBKY7FoV+vesALzwsdcGMolf/kQ80bL+WhMWvzgQjNYnHNTKW3 TOdJq4wXK4YO+7U3VdSWIAsgSrI1CdGNWxz6GY7hlQFVklRzBR6cnJ3LZBH43JXz ja82twamei+1/VIAb95m+uCcXpiyClOuhGrTHiOr58i1TSKXsVnSmlVxTTnqzT75 Pks/8mij3ty6fWu/iVgDFWhsGl7+rY9pJT3iiVU9Xad2w6yPLdu9MYfQeTR2a/J2 oy/82GFhNz7r+OT7L7BbY+0m0h421TZpWuf9dSRV898rx1ktifKF1qxPU/z25/nb ODouzz18mIHINLz1BehonusPbh9hJqrw+7YIsV8eWM13QZcDK42cDSIrrC9qYFot ySpBbgy0a3mLIB1LKz/teuxe8sYH0bb2Zeg5yx8tAQQ+n24CFbZLTSSGkfcm7YCH Y+8aSSdTw77eEGxy8vL7RzvuTxw4aHuH+J0uXVTPB1e58umVSWltemWDNSaQTH5W CFBnfSf63CDnO5AiymeEnSd8B79iSL/ziL4NzWKouoQlXxFDF1ggEiiIlGrmU2+m /RKDW53JQIIlZ0Or3PBT3+FkIeyJYxr/PAgz/d0Ln/hQLArVWThes4rSqIt8/jhX 4F/oCuy5rmAUSr9HNpPm+OdrrWrsba2FV3bJ45ov+TotKpZ9l8kzwsc195kFrekX Luh9Js5rmW4Sta5nBaarCVW0FabEyrSvSmiXEv/p/3+CdCkKZW5kc3RyZWFtCmVu ZG9iagoxNjkgMCBvYmoKPDwKL0Y3IDI4IDAgUgovRjggMzEgMCBSCi9GMTMgNDYg MCBSCi9GMTAgMzcgMCBSCi9GOSAzNCAwIFIKL0YyNiAxNjcgMCBSCi9GMjQgMTMw IDAgUgovRjExIDQwIDAgUgovRjE4IDY4IDAgUgovRjE0IDUwIDAgUgo+PgplbmRv YmoKMTY0IDAgb2JqCjw8Ci9Qcm9jU2V0Wy9QREYvVGV4dC9JbWFnZUNdCi9Gb250 IDE2OSAwIFIKPj4KZW5kb2JqCjE3MiAwIG9iago8PAovRmlsdGVyWy9GbGF0ZURl Y29kZV0KL0xlbmd0aCAzNTE4Cj4+CnN0cmVhbQp42tVbS3PjuBG+51foSNWOuMQb 3K097COTSiqV3cpOVQ7rOdAWbTMjU45Ijdf/Pt1ogAQJSrbHM3mcCAok2Gh0f/11 A1oVeVGsblbu8qfVD+++fmtWZV7q1bvrlWa5UauN5nh599Nv2T/WVmT1eiM4y+4P +/WGm+yqrrf4C88u13D7iO0iu9q3eNcfqm1z1Tdw516q2i01HrC3pmerrjve1TRG f1v16/fv/vL1WzuIwZnJZbkqnAhb6i1XOi8N9qqclasNwyew/wP1j5Mwudarofs7 lNlmBUmxP9DVfdW36oMXpf696fqOfm5aHHa14aLIhYTPsbwklfyWSJsbM5V1lAVk tb7vPQwsRFbRpav/dazbK/yykNn+mn4tOrreVmuus49Ne4P3PNvV7U1/O/8wk7Bc 2g/fUi8TQ7fNue+74JLNX3bX4pQGDfN9X4H6QB0sd+r44zswmJVluTarjdW5JpX8 uUUl41rW1Ljgyhy6nm6uqq5+A00rs8b/1B8PbUfN/TH85pZkMsy2uWkS42BWoHWS ePepcRQsMo52PjWbg4aG7tvKS/FxrVRW7Y7uwwytBX/tGrdC2AySN91MRrBkbylM 55bFlnKRNXmdv6EldS9gA8bcHbvmI65wvfn57xdrWmOwgflMmcjL/8zykhk6fXsT DCYJmpFeMyhl8YYeJb9282r8G3SVWbvv6Yd7XPRs33XN5a5eMCDGilyNFiSZV6tk 6B8AKFtqewOSMGRAEXw2oAg+QsaDrcQ9mZbPdlDJCgQMvCQa5SoXYjoMYzEoWbQ7 mg6fvwwqL1eh95v1hmlNF4MXVFYCc7zIGR+H9KvIiuEBmUuWWEAkks55sBA2n7Ym N1C+1+kzIHjVoG/OVmPjjVyDgykycu1eDjDGLXM2g1eAsdn8lcxLeQbQbeSzCc7Z XNrRZ1+ovemgkXok2mDwgtnboB42c7xY72XqefG7XJzyPHh1nEgOugV9//BIStvW iJptg7ET4bJkHmSwbxEICwCzl+HgJ83iNsWPMgqwYdEHYYkn2Gx7vOrpl8QntckL +yyXnKOeyvUotUwls2FSS2E6vFqn66Jl/MnVRsgitypGcxcrhJZxrBBaECKOwQKf wGDhrv4Nwn5oYLBwjQWwVwyJxmm0l2fQHoCUnYH7YaUR7iV3cA9CXBLYQwv5hgl8 Q09BH6cIpqqEzr6/AWwIUwqTazrSGDNO+5HGlgMB/TRQxzg03rof7x3L3MOvXQgt KaiLc+ZTnjQfPS70kv1YXPPX2o/jm452mizxK87yQqxErtkyP1G5BB0O/UtRU9lc aE8wkgmK3AZUC71miRQg61CqyP5a99Q4dnSFKNA12/pAd25plCzBVtrq8Eg/jtwV 79K1sXIEjydUpYVTFV5SVQHDYYmqXgPEE/QPUnyVBEekJXayCBtWlDL7tTk9aSkH YHqCY9CUCWS4zs0kuUg8OzLYRdJRnicd9hNIh3iCdHwuziFAnC2FirqjW0IMaERc BH8AvG2RLz/STZQ8wbOOqcK18INMkid42idPru/mUFc9GjfeAGls5zrbKI2BLSI4 7QKISHEGjO0IQB9SUwj4giFeO4qFyZOUWV1dody3eCeWI74B8NDTiD+xhiJmPOyE OcQ0ykRmgdQ9oRGsRMs8k08B5s+5gPQBj0s15wLQlXIBlZflJ4G5jLBukQwU5WcA c0lxHGczTMvFcexJ47hmOT+dk7/KdEo1hnH4NiNZfNJGgFJIJAIRoLgyhzDgBFXn m/u29o1rusK07qg14QEQ8GOqA7fMJX826/b0eNOH1zpqTJJFjVWDjYQR3t3Ww5d8 TDcLa2LtCOgvY4V65PInwro5YwnmmZZghQvrVi6GdaYwVvFlN0G15eidAADGPRKo DXo9aLCpP64RCLc5vcrVGNIFxzR5Oj3iBJNJEj3gHExgWrtDoKfkop4RrsvmnzUV 63DI0iK8bGAuJfMfU4p4zDeJymEmQ4nup7k6TK7jEl377YdkVkyiiQ6PXHCj0m8A mwnu8st6Y3n263pjFLTnYYnznFtYL2DQp+hAsdoYdE0SKGUTjCPdOEsn+Dk6wSZ8 Il0fX1vl2vFx55toArBG1/vdbo/Y/9B9g2wL8BMdzPqYYDAm4HPb5mPTuQqmXcBR Buum+bOAFKIfQ1MWmi/UOSTSy6fqHH7ZThU6XpWrf5FSxxAVnSod9KEW+QLrFGXK OkWcTpmIHI7yTAhkMFv2nj44lL+hXXUdRcWrBsgICVIlioTvhEHuu/vkExJdjLo3 Y8oqYuz3idTuEW1rf9e0e6rhPdzuOw8Ax3vKzRwlwkytckxJyAGfDvX9oe5qomP1 dp69LRkQE69grF+iTPaE6YjnMlYUp0goknO7V6UpL8CV83lKkizykmFSjr0/OPJs IOO7u8NNCG0pngO6RzADD4wwA48QuTYLjgIpeC7UeU8Bbvikpwy45FxFBzYB33b2 CtfueBkYfxdLZT3lH6Uc90mwHqFzwWMmH5F/s0j+FdifOFeC4U/UYJ7H+4XRQKF8 43LIa3T2y2EfSiWN30LDVcq5f5bqSuCt7ZWn1aQQg+mR65n4M9x7f9ZmUFmV4r0Y KdDnRBprpqmYtZ54QOOSptn3e2SetvSAXI7JGrTH9YKbpfXiQmM1+vSCKX1+wcTJ Sq0dC5RYNFPWkVnNmCezIBFMs7mrdqEwLij9mutkKHq5wslds6Hf60NzV9PkoOPa uZsswdQHT4S7JbXirlFHbzVdCr1slHth70tEU0LoRrtCxt7R98CcmgNS0I0sefZz S5+hRYNuSMrDNgDkhcLGs+0PWB6C4PaG2AW9pDQGPpD9gIEDMoFgt2QRSo/PTSwX 7r3lKp/fK+N2TrGDTAeVYgZbg6Gb1AC4YmPS9DSBNF+cQH5iPUpiHOKBNl6SAe32 7U1I+2AdXFwViF9uOfYpmeajHy8RdrtE2E38OouYHS5zaYait1UETnjt6FoRsQmF Q/wpqtvAHbm8CqAAjaj8W6dVxehMwEOiP+PrVtPixykWmARxiNH2f6HU6NRqs4cm 3e3n5UgIXz5/9P2ht+urQ48u6IsGJVaG4qIB7rzysoRA4z21KEgm9ystGPxERSr3 m4OSQvt94aKIK3huCHzI4Rdc42gOj7qqEfxczO6HWAC/hViAEhcT4FmMCzk/t5Uy xOmX7pyPYXyBa0FMQCqHvW+bmyOeKpFFmZV06W73qI8H3FotbNhaRT0dgF97pG+3 5B7Y4d28d4mhqw1gpXB8F8asmxu3ZdLTrSduHd2hFvEamFtkLLxEcxiqFWqBuSGc DA+cYG5Sj8yNLEkorLTMLWlSciCZAfgXCmdMPpOGLMUAVFY4ibDARdlYZXxmJFCn kwawQB3gWKVQYxCtfZ3H13P0yivlmpgp7pQJgdtNToG5gOyCcZX9reqd5QjjAdIE gITGTd3Wh6onl4T762M7Vm9OFYSkEphEkFm21W43hGmAXCIe8Te66kNIVY0cRLja 393vgK+0dde5V/WY0cJjFOSPuy3d7pp4DFfMwJF9gHcmYShA4CTqB2q4AYEphP3E EjUc2RLyYVkWuLpIKp1LdH1z4xUirUcmWbKs9WrEtnOEsJuOA8RqxI5YjVNmXI4n ja7P1GPDTptd2ob7PX3RRJtwKFAi4RAoh0MXfOJW3xemVEWxAEISQYg4itva40Dk cGsPrw72sTkm8HjK4FBfgVV4kA5HafD5ii5gI0hzXafHqRGTDjRGB3y2Tuko7naG yR7P6OGF+huAABWIIobYJIhgguldcM2umtqZSt+RkAMslGNdliuI3ZMDLT+eqeY4 bgPY3FUNGjEekUHjhqyAEhrPWgDHBmEVlpN8OaS5gM+ByoBU123fVJe7RyqU+5Mf SQHayjEhvcguQccwr8I78PxTkAyJoLSfNqeGBNAZuIo7egbCN9f+2tOkOnCODgdw gAodFV0uIIK3m/4AcabawctknbxYznx2jy1AM1oO1pPAoqs5VsW5GJmvEgYtxh0s SjmalGOh5y7d7gHEDb2v8MjT7x0XylkYKRibfHOUWIzHiO4WGFsx/2osEQaIYeiv zpCUJT2pRE9RgIs//NJiKoz9f6DkF811qP6lq1BiOfJ5qzAvVs4xJNrJeMZiTrOH aDU/74LEOJq+aGcrUiyvSJGOi0fPXmK70+lGTl781+wvzpxk6PtuoYSk2HQusaz2 XHyzn7ouQZpvz+4zKX+ydjGVjEoBp5dgmisnaxA27r7Q3Ga1/+iswrd0l+Ae1y6X HiQ7FSHOCf4SZ1k+VsYTjlGONfwfU5FY+Yyd6XPivPcHzDHVSnbURyg/GSbOaEt/ urbMs5Sl5y8Wg6e5beeCpnaR/fbre3/w/MdbLE9KmemL9QL/VVoHGvLHjy4JweKT FHiM4aa+PFTNFd7qwFhdu/HXkTXhcXONO2UN1m6xj7i5GI4mUf5x6GoaPTrIhA+5 g0zYuN3vsJ5qlMjeriHr3B+m2Y1zFnf44PcKUyycJQ8nRjmfpnxwfypXYVKPNY8v RbVRAJcRcj5KGOcqsM58NCDwR4GFdHM6/ko0Miw0TDYE4+BemriQgwZbWizE+sy5 TT6r8Yz1ECK45EsfxWwqVDf4wh+ILCb4Uo2kn7OpdeAiheInFxmd1aJtADPZGply 6bgSAilXXR3CPy8oNfD7rJ418ylrBvBDFgHJMgro6EDhPeAP/waHE+AaCmVuZHN0 cmVhbQplbmRvYmoKMTczIDAgb2JqCjw8Ci9GNyAyOCAwIFIKL0Y4IDMxIDAgUgov RjkgMzQgMCBSCi9GMTMgNDYgMCBSCi9GMTEgNDAgMCBSCi9GMTAgMzcgMCBSCi9G MjUgMTQyIDAgUgovRjYgMjUgMCBSCi9GMTkgNzEgMCBSCi9GMTQgNTAgMCBSCi9G MTIgNDMgMCBSCj4+CmVuZG9iagoxNzEgMCBvYmoKPDwKL1Byb2NTZXRbL1BERi9U ZXh0L0ltYWdlQ10KL0ZvbnQgMTczIDAgUgo+PgplbmRvYmoKMTc2IDAgb2JqCjw8 Ci9MZW5ndGggNTQ0MAovRmlsdGVyL0ZsYXRlRGVjb2RlCi9OYW1lL0ltOQovVHlw ZS9YT2JqZWN0Ci9TdWJ0eXBlL0Zvcm0KL0JCb3hbMCAwIDQ2MCAyMDZdCi9Gb3Jt VHlwZSAxCi9NYXRyaXhbMSAwIDAgMSAwIDBdCi9SZXNvdXJjZXM8PAovUHJvY1Nl dFsvUERGL1RleHRdCi9FeHRHU3RhdGUgMTc3IDAgUgovRm9udCAxNzggMCBSCj4+ Cj4+CnN0cmVhbQp4nLVcyY5cSXK811fkcSSIT7EvV6GFuc5MEZiDoNOMpFaDOUBL h/l9ufny3HPpLJIQQaC76IwXi4e5WYS9rPz1ko5Sdl/tkvAn/uUv17df3/75T+3y X//79kf6MV3WnkeZ7XJ9w79/eSsp1WOUm5+tzZe3n9/+fPnb26+XdtTeJ3cZfvzL 9fIvn6n7fcnpWJfP//mWOY7/9nLUy+fr2+/yRf/8w+dfqG3Ol3WMFhuXmS407t57 8hP9n6q2bZdcjj3Q+FMetDAKLGp6+fzXt9/94f0PD12WTP/4qRwzl1S4lXb2r58v f3yrR64jX/7+Vi6/0Oj//Zbrmsesl0nPcU440AsHdluUAYqMY2+K0ILGtEjqFKlH on/hSKP5U6QdpWmEJo5++rHykEg6eqbIpKbS86TB8dQ+1q4Sacccl1nLkS2Sj0b9 VPoHWhEiYx6UqFnnkZP0PBrPuW4aIEskH4natEyjS6RP7Oxs9dhJIzRZtOnHmDKf Tk9RMtqkLZY2TWbYFvXTJEIrpRm2Tfuikcyj42F5qK6jLg7MJlOu/aDHJzAxJD2V 8suBuSSnZR19cGRvWVWhFHfaMu2V8p/WTSRv3gZ6ZG0ZJ/djZ46MpRH6cd6MnPZR C0dS7xKhPZo8317lqVSOksOSytbZpaPJfMtukhnauyEBKoHCgVw4nQXA6Zy8Kksq BIq1OMFj8NhlUmYpQC1rlQD1WziStow0E8CNfSrSyxhHx8Y1QkaTCK2S97YvGbov 3pNG43V5iHZ7dI5kfYgWMxdjpEr6Cs0r4SkacMi6qcs2OZJ0fgQypNixVqpMh3Z9 6+i1HtQakabLrIkAzZHcZSwqgzIYxavKU1Q8rXFklC2RzLmgiOCo0I5jX0JgMCgq ilZGyvUAcCrqWtZJ3NTbzdhpcm1SZE4ZiSBwW0GFmJB+wsq7ZjDRBmfO15S6y0BF 5rznKYHB2KKdWTLBTDBJsp0jb4lkwQkNziPltY9RA9gyKKgx0psUXV79aEA6yER6 IRZsACRhq8jYi6iPUjFo8yxCSaeRCByr8OZlQhvoZYBMpGdQEC2BIFWmzHgSFtEP cnxGMNZAAptFUM8U6f5UkshcWMX7G9ED0UhxbkWgjxy4dY9O29cCt26aSCotcOum iVRuY9y6B5UY92PcuokkO9B9cuumMiqrBm7dtNKKSZ/culdiKjupdROL57QDtW5s Rd8BGJu2L6HNSa2btrj1FaiVdOxYqUVqTSlzfpxaU8IMI7WmxLAO1JoA3RGgkXJl nXFqTRnUEQkulQQ4Bm5NlMxeIrcmShT0wck0UaLAZyFCiRo50msiGu/tpue6uPYp 0iZDLKE85CmRvUTFABYMU6YlF1lEFVwm+hEUR4y0dHCCOgijYy2SC4L67Jyd3qRn AnbLnMEtVZEIPVg6DyBjEVa2SJpUcZpVCXcJSyfCRRcZ3PoMVVKrgXATlZ9UdRdi SlSySQh36DO7CG3zcYUDVDSbA0Ueov0VCNBaRckpfQfARRyzZZE0G2mTDpJejhAE qgBQKw0QqBzIW5sM4rFIZ0QyDBMIsRA5cSnLP0WSdkzVU1skSlIa3iknYBJCrvyT b0mF7exhgRHZlw45TG6hU5wObtg3Ux7zuJku7QZg7uybsacjsm8miEAvAvsSVPuI 7EuYAbsF9iXM8D45+xI9lh7ZFyDqkX3BUrfsS6hignb2JZpDNgP7TtmmwL7ESVhC ZN/K6hDZlyhy3rIv4f6WfDsPFcm3M6S/inyhAZMg4OyLSOedMPZlneDdMvbNcx8t 1cC+UI7Sa2BfDDpWD+yL1Sx5Stk3T0JdWoF9OU8SEfbNAyfMHdg307Tq7oF9sUfS RMkXuzh24F5s9AjMm/uwrCvzAhy5B+IFfIaymBAv4ZMOgDMQL0DXdmTejEPTCMSL QJZToxJvJoaayuhCvIj01APxItIC7frfhXTx95ED58ZOhXMxcFIKE85FhA7jgXTD bIVzsaCsiiSci8gMjIskVO1WGBeRLSdlZVyuvFUC42bcJdIOjIvI1skw5WIDhmqE UC42qetDQrmZLilFH2LORWDPEjgXO730IeHc3KEIOZAuF7mWhpAuIjtQLgGYNmYG ygXGrMCEchGRcjLOzYMKWCtXOBeRqYUqnAv6UNoQykWgacdCuYjMMQPlIrJ0wkK5 mWszB869iQx+hIoqkG7sVkgXkdp2IN04XyHds7aMc5Ga3XrgXCRv7h44FymvtQTS xUaNvgPp4h+WgERJFw/PHVk31JfSLnCepCqVdjHPsWqgXV6L6qXQLta7LMK0m0lL 9OiltJuhSSqYQruUxlObmXbpAkzFeQYwVG2nEAvt0s2V7g470C4ivHfvp53grGt+ grOu+QnOuuYnOOuan+Csa36Cs675Cc665ic465qf4KxrfoLTrvkJTrvmJzg01E44 adfcBKNd8xIC7aqX4LSrVkKgXbUSAu2qlRBgoV6CE5laCYF2xUoIBKlWQmBdWAkn xaqR4H8XG8EpV10EBFTv1UWIg4qLgEiT06i6CIhscxrYRQirURsBK04yV7UREBlN 27CPgDxVoUv1EcCoWdajPgIiq8rllH0EZLsPuU2Lj4AdafqQ+AiBY9VI4IIVKhEj AYGdZWwxElDwQ0hBjQRgoepDYiSAOLIwsxoJiCxZpvgIXPY6P/ERHGNqI4Chuo4t NgKYIekqxUYIvKY2AiJjyFNiIwRKVRshEKj6CDcRNhICq6qREFhVjYQ4uhgJgVXV SAjLEh8hsKr6CJFVxUeIrCpGQmRVMRIiq4qREFlVnITIqmIlRFYVKyGyqlgJkVXF SoisKlbCDauylXDDqmwl3LAqWwk3tMpWwg2tspXwklYXIbewvapOAgI41xfgCxNc A/gsbCQkJsw1FvtUp7OwBnLZObLW5gjVOXsEML0zRypnBV7D0KdQzj14DYv2ZLJD MSlfEqG5sx9BKWk8OKgDngXEXJ6iy2Tb0X1YdLdZHKGNncABlbKYZDStzoMTs9WV w3VqFRRJDVelhZwMuVYWtt9WpolxxMy/RfTVOdIOxtdKi/faDQpSEKrhGpxIUge+ p+KqlJZEOt/z3OIk3LGquWUxCXDQJ7/KU6+UObFXmzxFOrebGACbzZAJEKwRXIxJ GlbzClYubjctur24R7UZHeEJ+WFXzCP001rB+sBU4Zq6iYEkdLWeOycDucQLlDAd XHHTDK7xJHg2ce0Gixecpgz/Eocmlg2gaMEY8lyUxPyHSJGhoDVTMjil40x5wnXe s5xQRrITg7l8QlmmGMmb+xl08RkaKVxZY1euOr/8jkVayhaKWR2EdTrFdrc6Bm1N gn1zeh2DdKTPEdytgeJbYnvKS6JBhdSxfYS4zjfvAS1g75u2mPV/UNlA89xuHtjJ KnbzZJt44FaOEqVIkX5wl4c3b/YHiST7qfT3yiYKJZ89DtgJi8VmgEpyDvbz4DN1 DibEgGyok7y5ZAdtVlrROCZKYC5xe2NkOo5Vdz8GbR60KgTU7DifIIFYNxU86PbZ aolzSchVDoZI3/i36Dp2Kr2iuRJDpNPlp2s+xRDpazMVn4ZIX1MRYIYIgVq8LoNE XyjB4X5Ixxm0TfdD+sT1qAY/pONk0aIf0if2fQU/pE/cn0vwQ+hYwrTrfkhnkyO6 0Z19kBH8kE7IauyrmCHSodCgk9MQQWSkaIgg0vDKLhgiOMjMEjQEgY3XVKeIFOgv knGKSBmJddNVpBCwqwqNqEghzWBgnypScJLOLahIoYmkGt8GFjqGF37xaCpS6H6B Y46rSKG9yAwvU5FC9dpTVBGifKK6GlSkEDAWqOqUkQJuyCOAECfTxm9JDGCVgFpq lJFKWF54i3PKSKUzUuOIykgtiffSZYQO2kR+LchIJVqs+hZMZKSCOWd8U1ZRP60H GcFFoGLpJ3VWGiOvoCIVZ5q2gopUEEougbZpN2liO6hIHTjDzSAj9vL01Iw64QTk m0jnNz+niFTaGZbhU0QqDlEtBxHBxa/l6MzXndkSPjWkQlDHDCJSSXRXr0FEGvFF rjtkopF49xo0hEYhTuxBQ1qWl9hnhhsgnXuQEKo8qvgdJKThtKERkZAGCOUV+KLh 1aDuuEhIg3SU4hLSsIllBAlpHS8qc5CQxheMGSSkDdBLCRLSBqy8EiSk4Wq/ooQ0 nBtGDxLSlkiHS0iDrZhdQdqSBbuE0FmZ0j+ChLSNi8EIEtJwRNc2QtudaHvOGSSE KpOvTV5nHfeDFgWh58TXiVMySD9IO3cM0A99xmeIofJN/fYCL/dmNgXZiq56J9bA m9UgIjhRa7ZUROjE2fjUd4oItS4pvNPsnP4bEeH3zjcqguuevokRFcHVO5jqnWs0 muodhgFHThHBTZXL4xQR+qkh50FE6BqC971BRDKTfhQRuIL5RkQoxX3diQgfYW5E pO72lSKSx2aFcBWBNbX5UmgqgghD20QEgcYlYiICE2anFkQEkczDm4jABcv6lIiI 31FNRHD/HHkGEcH9k8vcNMSv66Yh5t2YgsApmHkFBXF7wRQEd83E91FTELYIhVlV Qdx2MQXJoBihN1UQ3D7lfaFJSAa9c5WbhGRCIH+ywhQktyLoMgHB/VQ+RmECknGn UnUQAcGNVYhKBQSBKg+pgLB9ysg2AUFEPllhAoJIFqFUAcHFV8jM3DK8NpORVEBi hAXEL8smIOg3ceGZgCBSJBEqIGE2IiAITP7MhAkIFpVFo1VAEOnCrCogngkVECSr C7GqgCChqS4XEM+wCQg2Ia8VBASRJd2ogGDn5BWtCYh7CyYgiKicqYAAAZ2PDKYg QEnh44ApCCKi2qYgwFYXaVIFgY3NtGkCgsAShVMBMevP5MNfpZh8ICJKKuoBmCcG rMmHmywmH4hs9r9MPvxdismH+3wmH4iwn2vq4TVm6oFIYdfM1MPNQZOPGBH9CE+p foSeVT/CdFQ/3Jo0/fAKN/1AcgrXs+mH+0umH9iXIQytAoL9lXOaCYijwgQEWJJD oioIQDsloBKCGqoicCohMJPk9blJCN6YtDGChOCtSpaISgi/eZlBQYhkaewdFCQj S3yiNwXJBVnOQUH4JU/dQUEQKcXaQEEy186tleUKol6WC4h5WaeAqJXl+mFWluuH WVmuH2ZluX6YleX6YVaW64dZWad+mJPl+mFOlumH+ViuH+pjuXyYj+UANB/LwWU+ lsuH+VguH+ZjuXyYkeXyYUbWKR/mY53yYTaWk5vZWC4fZmM5aZqN5fphNpbrh9lY zthmY7l+qI3l8mE2lquF2VgxIjaWC4jZWC4gZmO5gJiNFaajNpYriNpYLiBmY7mA mI0VcqE2liuI2ViuIGZjhSyrjeUSYjaWS4jZWC4hZmM5WZiN5RJiNpZLiPlYLiHm Y7mEmI/lEmI+1ikhZmO5hJiNZRJiJpZLiJlYp4SYh+UaoiaWS4iZWC4hZmK5hJiJ 5ZxtJtYpIeZheZ2Zh+VioB6W64WZWDEib4/9GXWxQr/qYoXJqIsVBERdrCAg6mIF AVEXKwiIulhBQNTGCgIiNlbQD7Wxgn6ojxUERI2sICBqZAUBUSMrCIgaWVFAxMgK AiI+VhQQ8bGigIiPdSsgfIC5ERD4WK8FBK/aWqLh/v6WLr+cn/PpwCWxsAjpPP// P/+B19L4JAfVdONbRtZ/7Of/bxrhjJGox6eNvu9XCPhTLvuCsz7I8IrPsPCHRCzy xSOU+SUv8hK2JV/wunYV/Rwjd3M2+fl8jM+rhKirNbLA+RSOwXvHjmlRVIU7DO5t fn778z9e/vb2b/i9hlSpjP+dFvfXmHz+7YHQE975XsOk6erD8vO9OcOvXTwOdzPN 69Ol3K32/T5t16eZvc++f4LsFg/zN0BzA79+D78Mw+YrG72CnzV6CWSb+G2ju4mb zL3syfT8dU/a6GWezkavypTuwVT483WebOI/oEznJgJasU5XanxA9Do9IydScL6a dKZwNJ39hEK157xQrZVX6hk5wWt9O77Pfr6xVGNPUqo+7x9QqvfTvD5ZyuNy3x9S d32S3sctoMLAKTLdI/W+ehZVT/6gzU5sk7yE/HeqwMJnl1qUAco7PmgQZMAiLgML H0YYkaysn6gD+lzQAW0VhMAirgTad6BP6+dblSD0pEpwzvtHKMHdNK9Pl3K/3PeH 1F2fpvd+C4CKjjPJR/AiLcgfnTIy4bl/BNQCa/mr2ryWiwq3ab2m5u8EM2zTUSOY 8eEuzuQJZos4mAvdZrgEzmxbPxHM+lwAs7YKYLaIg1n7Dgiwfr4VzKEnBfM57x8B 5rtpXp8u5X657w+puz5N7/0WvJ+tXkPHpvASg4MGwoHsZaO28JtCHwzX4RB/cLCx Rj/ihI57zpoRzn0lOSSecLaIw1knFPJt/UQ463MBztoqwNkiDmfLiGPA+vlWOIee FM7nvH8EnO+meX26lPvlvj+k7vo0vfdb4CD8AF9lwSN4fZjXRi+13+D8Eqn4LOyc l8GvHsbzNvYu7WWjTiWe8j3k5280enW47vxLVuv14fps9CqX1uhlBhrRx64faNj3 Ya73fdAmhFrtA694o/SckRMo5iU4mM5+Qq3ac16r1spr9Yyc4LW+HeBnP99Yq7En qVWf9w+o1ftpXp8t5WG57w+puz5L78MWOOa/pni+ps1LnFqbV4C3CX1do/9/3an4 pd4Zj1EVHw1OO2D5jJyJxBvhcmNgnP0ELNtzjmVr5Vg+I+fmWt8OgLOfb8Ry7Emw 7PP+AVi+n+b12VIelvv+kLrrs/Q+bMH3Tpx/iYsw5BtO94GcUrwEnpFzNHz2fdV4 B7Zuwn7bY77f1sr3+4ycCdCuPUdnN9+43aEj2e1z0j9gs+8neX1cx+NS3x/Sdn3M 7GPy39/EA//gnGuNXrLE2eilxaWNXp4Mzkb8G43zeSP+BFDJnDTk+k+/f1jL1Xva Sz9z90jUVz+u6Hhfnoj89YxYEr48HCk8Ysv78sSOvLrPp5n68uAheiT2dO9+Xs9I bHV/Db+eEZ/n3Q3bA+f4j6fBq193Yqs7d+p6RrzzdyqG33/4RUNPvjyoDryhXpeM l0L0f/kCofbkC4T4u4HiVwM9+wKhT/gtn4evECrf3d0aR7vvLX9vb/jMzcPc+vf2 lvGxgnL55N+opFP7hA8pUHLD2j8V4gOPcXo/4XMU6bdngc8i3c7ip/vef3ro+6e7 nn+Sfh+/YapBpWi//XumpPNOY8qj+pVTn/B+bq0zmDSMM5y3fB4827b4+GMwfr9V yMD5BVfULRXg0VBlPNmfzu+kwp//A0Tp4V0KZW5kc3RyZWFtCmVuZG9iagoxNzcg MCBvYmoKPDwKL1I0IDE3OSAwIFIKPj4KZW5kb2JqCjE3OCAwIG9iago8PAovUjkg MTgwIDAgUgovUjExIDE4MSAwIFIKL1IxNCAxODIgMCBSCj4+CmVuZG9iagoxNzkg MCBvYmoKPDwKL1R5cGUvRXh0R1N0YXRlCi9OYW1lL1I0Ci9UUi9JZGVudGl0eQo+ PgplbmRvYmoKMTgwIDAgb2JqCjw8Ci9TdWJ0eXBlL1R5cGUxCi9CYXNlRm9udC9U aW1lcy1Sb21hbgovVHlwZS9Gb250Ci9OYW1lL1I5Cj4+CmVuZG9iagoxODEgMCBv YmoKPDwKL1N1YnR5cGUvVHlwZTEKL0Jhc2VGb250L1RpbWVzLUl0YWxpYwovVHlw ZS9Gb250Ci9OYW1lL1IxMQo+PgplbmRvYmoKMTgyIDAgb2JqCjw8Ci9TdWJ0eXBl L1R5cGUxCi9CYXNlRm9udC9BQlNUVkgrWmFwZkNoYW5jZXJ5LU1lZGl1bUl0YWxp YwovVHlwZS9Gb250Ci9OYW1lL1IxNAovRm9udERlc2NyaXB0b3IgMTgzIDAgUgov Rmlyc3RDaGFyIDMyCi9MYXN0Q2hhciAyNTEKL1dpZHRoc1syMjAgMjgwIDIyMCA0 NDAgNDQwIDY4MCA3ODAgMjQwIDI2MCAyMjAgNDIwIDUyMCAyMjAgMjgwIDIyMCAz NDAgNDQwIDQ0MCA0NDAKNDQwIDQ0MCA0NDAgNDQwIDQ0MCA0NDAgNDQwIDI2MCAy NDAgNTIwIDUyMCA1MjAgMzgwIDcwMCA2MjAgNjAwIDUyMCA3MDAgNjIwIDU4MCA2 MjAKNjgwIDM4MCA0MDAgNjYwIDU4MCA4NDAgNzAwIDYwMCA1NDAgNjAwIDYwMCA0 NjAgNTAwIDc0MCA2NDAgODgwIDU2MCA1NjAgNjIwIDI0MCA0ODAKMzIwIDUyMCA1 MDAgMjQwIDQyMCA0MjAgMzQwIDQ0MCAzNDAgMzIwIDQwMCA0NDAgMjQwIDIyMCA0 NDAgMjQwIDYyMCA0NjAgNDAwIDQ0MCA0MDAKMzAwIDMyMCAzMjAgNDYwIDQ0MCA2 ODAgNDIwIDQwMCA0NDAgMjQwIDUyMCAyNDAgNTIwIDIyMCAyMjAgMjIwIDIyMCAy MjAgMjIwIDIyMCAyMjAKMjIwIDIyMCAyMjAgMjIwIDIyMCAyMjAgMjIwIDIyMCAy MjAgMjIwIDIyMCAyMjAgMjIwIDIyMCAyMjAgMjIwIDIyMCAyMjAgMjIwIDIyMCAy MjAKMjIwIDIyMCAyMjAgMjIwIDIyMCAyODAgNDQwIDQ0MCA2MCA0NDAgNDQwIDQy MCA0NDAgMTYwIDM0MCAzNDAgMjQwIDI2MCA1MjAgNTIwIDIyMAo1MDAgNDYwIDQ4 MCAyMjAgMjIwIDUwMCA2MDAgMTgwIDI4MCAzNjAgMzgwIDEwMDAgOTYwIDIyMCA0 MDAgMjIwIDIyMCAzMDAgMzQwIDQ0MAo0NDAgNDQwIDIyMCAzNjAgMjIwIDMwMCAz MDAgMjIwIDQwMCAyODAgMzQwIDEwMDAgMjIwIDIyMCAyMjAgMjIwIDIyMCAyMjAg MjIwIDIyMAoyMjAgMjIwIDIyMCAyMjAgMjIwIDIyMCAyMjAgMjIwIDc0MCAyMjAg MjYwIDIyMCAyMjAgMjIwIDIyMCA1ODAgNjYwIDgyMCAyNjAgMjIwIDIyMAoyMjAg MjIwIDIyMCA1NDAgMjIwIDIyMCAyMjAgMjQwIDIyMCAyMjAgMzAwIDQ0MCA1NjAg NDIwXQo+PgplbmRvYmoKMTgzIDAgb2JqCjw8Ci9UeXBlL0ZvbnREZXNjcmlwdG9y Ci9Gb250TmFtZS9BQlNUVkgrWmFwZkNoYW5jZXJ5LU1lZGl1bUl0YWxpYwovRm9u dEJCb3hbLTEzMyAtMjkwIDEwNzggOTEzXQovRmxhZ3MgOTgKL0FzY2VudCA5MTMK L0NhcEhlaWdodCA2ODUKL0Rlc2NlbnQgLTI5MAovSXRhbGljQW5nbGUgLTE1Ci9T dGVtViAxMjEKL01pc3NpbmdXaWR0aCAyMjAKL1hIZWlnaHQgNDc5Ci9DaGFyU2V0 KC9EL1AvUykKL0ZvbnRGaWxlMyAxODQgMCBSCj4+CmVuZG9iagoxODQgMCBvYmoK PDwKL1N1YnR5cGUvVHlwZTFDCi9GaWx0ZXIvRmxhdGVEZWNvZGUKL0xlbmd0aCA4 OTMKPj4Kc3RyZWFtCnicVZJ/TBNnGMfvrHa36dicY2njhMdMDVokIXMkjZgINAhZ TToLaFCR693b9nXXu+PuqjTM4NKQGd7armqEAVLC0IERJYhA0KDzx7YQmSObRrOw bP6/P5YsuRv3z65l0y3vP8/7fp73+32e93lpauUKiqbpjRWV/rqGGlcjKwerwqzI ISW2fS/icTRSq7EC5rJJW4z1tPHuCmODzXSak0tzS5tXbaC8mc9e71vi3zIm1xrX 3jAuv0nZsoqn6RF6qqh+3/6tLldxlSTHFBwKa1DqdrshEIN/CHiQikMibLGCY0iQ 5AgStRLwIwRaGEEQCwh89ZXe2iooqhBYnsciVCsW9UUDVlHgxRwSVbQVgpICwvIG OEnksYYlUS2BChVYUGXEYVYA1MohOQuKQUZKBKuqFQNWIaSwooZ40CTAIidE+ay9 dR6URA1kRbJ4xCKWlE9SNZVTsKyB5ejzVC/XqIVZLeurYguDFLQyeYmLZrt5wTQW iypoqFXL+gQQ8FiVBTZm+VpSsoJzJURVLIZeuheDgkKswgtIzelmX+Vlf/CfrllZ FmK5u1Iu64U/1lQkBEusB4d/JwteWJ4tLA/3/4yiKJvH56eozVQptSP3QaiVVA+9 kx7U5by/fCRjjGRosmgkntt+e0dfZ9fd5HryTv/PlxZvj9+cnbv2J/mV/BC6vWek uf/A2W3pM185qiLuE/tjDdhZVheoIWWkNdGeblkcc3Rc7OwiF4i++vGCDl/sNmcd vLmzRTCpOKM/MdL5P50a7bjcdqtluI7UkA+OQtO+Rq9P3USYT+zm2ymd0SlCpvVa Z54xlpgwksP02FPD9dz27EZ+ILBqwa4PkST55frpcw5/h9r5fmey21pdqb5U3+dD 3V8n0ucn5lN3e7+78uP49AJ5zDzyXzFf+fQk6dQK0kM1uDzedKJRdJYfbN5DyomY Ot798ZNpR/vVU73kS3JncHZsePTiaNf8mbBZesDkkOlg9MNGIr8n0Zs4S5i5UeGj jZ5drpPxRLKtMM9o9swY387QOv/9709tU3/kH3nv6qGZ6EPi1Lfr2/S1+rqJtoGK B4WV99v7yCTz8Na9b270xD48XzA/03E3cqmBODeZr5r2oqaBow+aCh/VX5DJYWbX 7uodzUf6R+SCY4PxgfgUk3c8Y6zP6GUZ+83Xnq0eP7dmDUX9DS2um2YKZW5kc3Ry ZWFtCmVuZG9iagoxODUgMCBvYmoKPDwKL0ZpbHRlclsvRmxhdGVEZWNvZGVdCi9M ZW5ndGggMjIxOQo+PgpzdHJlYW0KeNqtWd2T27YRf+9fwelLqLEFE9+k0zwk41wn eamb3Ew74/MDT8eT6FLiWZR8uf713cUCJEToPuJ6buYAAgtgsVj89rdQVrCiyNaZ K/6efYaKLYWsRFbgX/gwnFmdLQVXrDLZapu9+WVbZe/67J/ZT5dvLmxWYfvl7Sgo DSttdvnuQ37Rro/7ZrGUusyrt4ulqmT+c71aCJNvsNXkx7u7xVKUebMnqbv6sKFa f0tlvaOy6Zpts1sImx+wwebtbvHx8tc3F1yOGvDKMG5BeVz8/WJZivz3xdJqqJNo kRlWWRQVgokyU0xqJ3wlFPcyfJQpsiVUhRPQ1Dvtlhc4gWCattoOXt1h6N2OVm19 aG6o8b4NuzpsGtJ+1e+XOCXYS5TMymzJOatImX0zoFVs3u9ucMvGbVmK/Kb90g49 mkpKMpBU+QdBqlWj3rwAtWQmmeFuvtRQlhmVLUeBaffT/lxJluQfacUzFgczmtKL vUsMCMtUsDGmqvM2VEzZbOxmzh4/X4JbZVwKJsEosuBMULei0WU0ugpLH+czaxbc 4Cqfj5OsDOP+SMeBxn7gAs5AiPwVFVe5FPOZRJVMdWLkcapn7AtLzWYuWWlO9xb5 Lm5OMU5nV8wnFsyC0cf+b7D/2XhuWKFfMkHOTTIWFpdPWYz/PybTLzRZkWpdPGsz +/iWbWwya/MfsCjD0ZTxbeFh999P3n4GRCW36AEoeL9puyaZCc6Af6Xz2xcevrvy A4HMrj9QQ92tm+t93a5e+28vcLfvEZu/LBDMbwiubgmqlEc9kL4S2u4HP9Wh3TbU 3+6o5cPFxxgESs6MzVACPRbV+scRZlRg2rrdYqVyQ7E8bFBVrA3N6tD2vjk0Hnoa 59Q0Xk1qOmzqQ5jDN62bXbOvD+1uTR23x100JwJvEHcIziuMEhGAD83nY7Nb+U3/ WNhKF8Xr+MDj2wRIh2BsFbPKDb9ND6ZS3wTOJt+Ey5mCecmESO5fee7+PbMSzSyi Xo3LKPLof88DVuHihOBM0jG3abhm5aSZLZJIYybNk1sHoUSbjJfM6Fj3KgIHWB6C oZgWx3MqmMruM6EUwwtpgTDobJvJQjJdjQ1d9vvsBocB4L2eG/AzQMdfGBvEE1Ev OYQp4rx6/uyqE3AUgbO1iW0j27/iT6KWgmityokPgfOPwHHTwuU3zd4Tmra+7h4I JhAUdu2hOXP1FZwaHdovjgaKvN/fEFcU7k5jeeNLggCs3SMUOaLF81XtRx6HJsj5 yhcntn8gwaHd3nWuB1Btvz4GtolApzU0tYMDBOy/3ffbabLzILDqgAu2q7oDQcNR sHdLQd1RNyi7dtfUe6rH9rFoHzeuyAFKasQeVMMEtMIBNRXvlsF+9O2ZIxr5fhGY NcwzNPu2GU7Xr53qxQl0wR6dFRyYa4X7hqNyLcDaHdzDrP3OnR7UaioiJWCk28Nx i/+vQR9DWgjP6qHEZY4dzH0ApRjgqRL55QaVPg601D1++GXpDGHYvsHswbrsAXcJ 4SDZwbp3ppMGlgaZB6qH+ERHCA3OkPNL4pCieBSE9bcJq8GOEpOYYLjOK7qt3QVx Xzqn7KjvyEhwHBeLEi8B9ba74VBDnHlNk/kwa6d4RZ5ZlKywZCITA9JZUPlhrr7B XIH6Vv2Qbh2YiuB/mlKMyKAiD/acApwjxM7Wy3iDSUoHXS4SeRwSlOBxpfM4Sx4X pUkzj0uhppSYcaCm/1qU0rmeGQ+gHTNPaOuPrmLGy2gC9kDt6moFa8Bl63d/pRbn yU5/GFvf3XWtI0gmclDouOjgJgHOfILD9pM6WgQl0CKsWEI8Y07J1iPw43VDnhXY V1eDCep1E2N4nD1rQHqeLTXMxcv4EpTnnKFOw4gwE8nezYdqpmTEsa+/JIEGlsVs UT/moy5Z1F+7uIgWT9dWmJeMi4u5H5cQWUPn2/nkUTRPM+QSWd2cuZw8I+gQXZ+6 lt8vltyY/JzRgIW80GovnESc4StCZVO3I5KJb3CF/M07h1sK0T95o5G4JkmtE57n djzlYcClkgkM6jId5fpJRqKlxjJmJDUVq56ISPPHYXm7bxriIu1uM4bgwE/qLQpe t+tj74ITNIWbdAZHNNwia09xpNAnkavQLnK5io9WRQQG0Frf1HeUfuAXQYMhaPhu IHHEABfpb+nbYQOU48yremgwaECcmIIGtI+KJI8ZFVq2OGGBJ2Z/xo1DEOCU6WCE wqgYxR1EttRpRkR5P7/Uhsn4/ahNQxMsOnZDZiN5dYZtA4kUT9FtUH5My/8U34a4 Wj5GuHFS8RTjPk045oybnzDuuakr93gn/LPZUosCz1jiGSdJncHgT5N9Ss4cXfWx 15godn9K8XQkQ387o+CYrnJHWxXFcV35Z9IKnHB48C+iPbWQUzau+A+9kfoQ5sTP +yyXcATycfdRT3tPWU3eQwxDE6GFJeHCdt6PiwJ9IIqt/23g8s1NySdbwg3R6ZFz /ZQ2lkkzaTMcA1qoQkVcNY5YBp9eZXig5qdpK1dwthjMrcLotIUGJx8aKG+dxMoi AKpIU0eOj8lK+uNeysqe3SI3+GaV7DEOlKKc9pg6DkddvOOAWxtIUX56QBNo/zYD +PZ+D+ywdZkatrvHGIS/jW/4MaRu7tUcrVfvbkgmICyZNBAn4V5XTp7fO/90X6n8 t/7of69wSY4xC2VF3jgUriTkLJDVNZgLVnpKOytMmxpq9MkTNDlPhxbg7Aff6T0c OumtDOW90BEW46s2jkUgNmzrrkuSDwBa/pKXmQDMqsC30jjrq8k0CXJG3P5bgoeW p+ARuTU5wejWcubWBcQL8DFdlfhkC24NyY2RY0Nway9moCxE/PNBbBeOIKzUZJpT pjti+9dcZ0eUp+5hRsWPu/bz0dcdmrgcpU84VQVH9LX4BvkMj39dgSRbuSTbUpIN S48eC5xmU08vo2/JUQpmwYj0K4e7lAFk/vI/kv3DCQplbmRzdHJlYW0KZW5kb2Jq CjE4NiAwIG9iago8PAovRjcgMjggMCBSCi9GMTMgNDYgMCBSCi9GMTAgMzcgMCBS Ci9GMTEgNDAgMCBSCi9GOSAzNCAwIFIKL0Y4IDMxIDAgUgovRjEyIDQzIDAgUgo+ PgplbmRvYmoKMTg3IDAgb2JqCjw8Ci9JbTkgMTc2IDAgUgo+PgplbmRvYmoKMTc1 IDAgb2JqCjw8Ci9Qcm9jU2V0Wy9QREYvVGV4dC9JbWFnZUNdCi9Gb250IDE4NiAw IFIKL1hPYmplY3QgMTg3IDAgUgo+PgplbmRvYmoKMTkwIDAgb2JqCjw8Ci9GaWx0 ZXJbL0ZsYXRlRGVjb2RlXQovTGVuZ3RoIDMxMTQKPj4Kc3RyZWFtCnjarVpZc9s4 En7fX6F9o6oiDC4CxBxbFY8nc9Qk64pdsw/xVC0t0TLHlKiQVBLP/vntRgMkJUqe bG1eLACNs4+vD3rGGeez9cz//Di7uPnqlZ055szs5n5mFXNytjCS2XR2c/kuEWz+ +80vsx9uYOIsM8ykY2p5j9SvXmX9Bo4JNeNEnC+ktck/8CdL/qCZw1FSMxtmdg/F 9ngjKZlxgX4rbUp0NzPMWaSnTMBVBNMuHHa03jCezXryt3SXUxuJlBkz2mlyUc3k sNE3nh0LwTlTGn4zZrUnSDZfpJwnVbk5PkEalprpXQUfZrBMhrf+XRy/BM7gerjB 5zPDnmHGd+F8MfBAMCtmXvZe6FHmnOnZx5nQwIJstrButoFOxmTqO9XsGrUikjMd 18vj8+F+FrbXypMPVEowY4mfmnTqp2K7LF7MF0plyX3dYMMm+XYuTfI0EbLnLDHu U3iV6qkZS6MumuMb8UD4bsJtztLs/9A7xZQ4UpcDVoO2yfOcBnZosD9ncTdgdpYy 5WI/8jtMElyxzD3PcNLNwM18u5rwSKYs1eG5f0xskFl7lrvpYJ+ThUALpG9P6lo2 cEAdckAqi/N6DkgtmNNHHIiTRhzQxxzwwu85AAhDitQWTVm04VJysHG4j5pZpq2f fjUBCdAKgQcybf7ahkFv+OTdhsmojZ4IZ4PGA1Wc0gQlLCpSzweFglKHfBhfMM4f sSQ8QmpAMJeRWDhwjTN3BiYsooCOZlq2xLJlDcZnkw9zmSVFsy58rwO402mavGwJ EKXJCBDheGJ5DqulxNXLat+W9fbFREsc3odYcj/VYJdGdiZTI8uOFNOe0svbOd5B 0UvgLvk2r566chlGtxOdBjwBJn55a+hx6Nu/gt5jc5CBrTAtQ3NQksTs+9Ec+kkg QHXOHFQ2mEPxaVnsOmIKYSzw41amdlt2RfVEhE3uJR16O/CgWVJX0XhGiKngCZ/j qtNzzgnYE6kfH0A8cOoDqZUC56f901AdvFotl/sNzthXeeeNWg6SHFkbHPqMRwOX nKFLlgpDGQBaxVmm+oGItP00x0x2FmnNEdIqgBt/w5Z6ZRd+Q39b+wGdXC4iz0+5 RAWO1m/6M06HEMqvtw6fixZYNEXblds1Ebuafus7gLgPOKEIhIe8w2s5jsytwugu b/KqKqp63eQb2jZK+AkX15tyW2PQlBQtrcibgubV2yIEQc4Hi4Ns6nsABSOSIm8B ZDvsSLBe9Du+ualpUCT3TfF+H5AE9Q3HuqYAiYap8EY/WAFzmrzbNwUaM1KWVd62 eCnsxBPP3t2DDujmWIPwOjLTyUMecM3zSmYKwwz4TZO8Whd3TY5IgRMB8/ASntdI vt9vlx0gGlFBI+tm1RNREDjsXQ4OtMWmXNAFwflsCnhQgEKhB0QDVePREe/a3bGa CYixok9dBNvQEIOOH7bzb/ZMMD0TjBegBF59LEEtfSunn1tpeN5R+47Wdl29CcSR KcKAIPmPVgNDHoqG2m252VUFzet8pLajo4mMUsLfQ6WbCObs/T2Og72QCgYLOuag SwcOXS7auvqQ31XFJJjXGBnxIQ6FPQYoA6Nz6P4WAAeCDP6fIOVUBXFiY+u1Edup fxiO5dT1qkkjkVLl2/U+XxftyMIPsiArGAeIkcLEE2/wJG10Ava9r7zBpMEeUroG EndALXxU7GcoULNlUAzJXXASkbOkrDoDSe3XcJmuDb16U1Drft+QOLEDPrstV17l oUVjTbHOg5brTIV7ZMEcp2GldRij8hCILGDi9Xxh0xiUjOMmySTGqkYEB6LFRPmF j336OfX9RPpiFH59efNB5SPzQe2LdoPtOwIetJsTGC5TiVaNu18AykmtkqumDmDV lgFDYFQwSY2PEY2g3eNTRiPSYzm2IrrApKBz2PRmNqY9g+ij/Qm5tBy/5RmAR0dS Fdt193AcCGiJ04nJjxOVcExO4+MDGetomIJOWSIcKyfCxQrqtPuyA8t+oh4ki/So FXoOmhyCFthhU+SovzhMVxchE4AGKDSEEA11oplOYj7LsUXX+vdxYKMPc8HH4zdh 1sWsHOcNq8K7fH9Zrz7hskrFHEUl+23uI5y7cr2vKYiQo+uCLhaf0PwxqB7pnIB4 WiCUOBdjcDFJdAwzGoJBbs4am89TFv0UMRGkZSJGe++mYWYWo3Y+XQlGKrLPWXpq rUVmH6zNTq39er4QxtKPgZ/JPj5B+Yw7TIUNSZTGqHKs33xE1716R66eTv/EtMIE qr/o9/4MqckTx2ONSY7m6BOShVDa/A/PG9k2c6MbfnPamQXUU8IMgZZGD+VhS0uf S7Yh8jMh8pPRqSH5pDMRGhJX98WcCceXDs7EowzeskcZvEnAlYxwhci+AuXbAVew 6SNQDGMf+qg4Q18zQs1z4KIx6TmAlrGseij9bqIOVI3oqxXXx7LMvGPrMed5XX2+ VCGmdVWQjIwlhLOQmJ5GRFSjSDzhLxWEX6Ee8hLYqjlpRLnMK+r2IRG0e4Eol3z/ UG/axycikN5B43qJU3z8mtwqrucpNPZF9yfqXxZiXixpNDT/3ffXv1Or7SAVaakd tFeLsYyPHOM4Q1DCjTIE7HnfI7lPL7A/BXiRUZkFjKL41C0gPSpotNcdv5AKGXzI Txg9/2LfnUp08AHW9DGFBpM5jCmQumvqYWhFs3y0aU0wTD9pHG1aTGr8+yCxTIWI 8+wBH3DdwAfs1ZPPBUqkTJlzRpBhKSvWgEpWsEkJCbihfTl6ePWnUyVXN2CCnEIb om9P/5KVKNsXonz2KkmCWnGqAWglxqkmjkO2vOz2kCU9zQHmXmCRTcXJPCkoWZ18 LBGQRbh42OWJUmjEkr7gcDv3e+uhVDEtzml3XjA6Akh8kEdR+C23kEYMmT0lJBZg 4UAzp/FNVPSQlBkM2ZWmUj1IORYl3xb3uP0ylqHGFX1IojAJ8J794s3vhx+uLPov LCYTJl6C5Uink4si37/fl5iSQ9Ink9dh/E35YQ7codIJFz4NxPEbFEsD6F/FeoBT viLiqVfzmEEM8TbQfUkAF/vyC7YoRHfgwuDdxbQcAK42tWOOXZbtspmnoAK+6JXa 5Pt6s9tjGRY7PxZICznIQUorgI/m7GcQx/ig28I5Qam2SlKb/id1kgW80wHX+89d 7y5eX405jNk3OB1tJX4ixBnISS14cgEiBo/fLV4jVyB3MnOYlRRVvX9BNvE6bx59 zgVd7pCJkHV1jwhINf750BaPMNUAJ/81xypN9djS3oCZfTitAYc8bsFvTj/v9/mq oSpmFx6iGD/UxHFJgYoMlcfLHE9+Cso5FOqmohLcYCGf97k7CgJEBbkJSceMRZWB UyqnUnJu8PeK28m3Us4GMUnOVRQT3AqsywQxSW2PvkqCmN4eiclC8JNy5Y0rigmE MBaTiWJSvZgAhV4ysvC3BZWFgB1/eruxaRqKFrAPZLXFUbWLlvlACX7v8mbd5LuH 9oTWg3jSg9DpJXJz9SHfLj1DW+InihlZ+XK3q0rP8BWZwWusSW3AMpfttAJg8BMP D2XaYwGYIcJU4kT1oC/9H/I/M3DZ3kqyEPmN2P/q7VyAov52IASHgIzlIcYJ1a4Z uc+LpvKqngpN7LYueYUq39RtuS09RYXZLnlbbvNqVYb5v/rRLPkNEWpfVpX3zg4M CmAHoKolch81wXFdBLJ6+3V4gj2siRCQ7zehFoSPNqOk1fivPPBDZIzS8IvRKGjB KTsIMXIKxaYyl1wNqv8D4CPIedl5+6m3/lON4ckv9b6h3Q0pkjICraoveKk+HiN4 vwPWdHXT68FI0pBM9Bm9UM+LuodDL3UTe28haqGTIW6VBwLHCHLkdzQGyosULDR8 P3iDKGCGgJWcvAJhvA6UKxzz7cwHsFSAtTGABWmciF9RB1JHVqgsH0cVuCdYRd08 UZvY56bxJrESn38id2kRgIHpP28nEjR6+GJ+5UEf0MT7qhxQ09RNR2MUlkPj0kMO T34qm3b5cOe9mhf4mui3yQ+rllGEotKAnh5GgHjld679dL8oj1pA9xjdfUPheEpf vj1AvJpD7Fo3G69L0L9+artiMwULACKZ9WARVEA40xu+ENlCGEEu4w288WHxU10B t1Zh+ssN7Nys8lAWVAr/BQNcPstIEYQMevK3/wL3Jb2+CmVuZHN0cmVhbQplbmRv YmoKMTkxIDAgb2JqCjw8Ci9GNyAyOCAwIFIKL0Y4IDMxIDAgUgovRjkgMzQgMCBS Ci9GMTAgMzcgMCBSCi9GMTEgNDAgMCBSCi9GMTMgNDYgMCBSCi9GMTIgNDMgMCBS Ci9GMjQgMTMwIDAgUgovRjE0IDUwIDAgUgovRjE4IDY4IDAgUgovRjYgMjUgMCBS Cj4+CmVuZG9iagoxODkgMCBvYmoKPDwKL1Byb2NTZXRbL1BERi9UZXh0L0ltYWdl Q10KL0ZvbnQgMTkxIDAgUgo+PgplbmRvYmoKMTk0IDAgb2JqCjw8Ci9GaWx0ZXJb L0ZsYXRlRGVjb2RlXQovTGVuZ3RoIDExMjUKPj4Kc3RyZWFtCnjajVZNk5w2EL3n V3AUVYsGSSCh3Nb27ibe2HHtTnLx+sAwmhm5GCAgdjPxn0/rg/muSk6AumnU771+ IkpxmkbryF0eonfz2b2IJJY8mq8iTrDIo4RTe5l/+Iq+Pn6Lv80/RndzyIwKiik9 Dj/hOGGCo0e17W7iJC8YelfWZVOppQ0I1PZL1fsHjkyv1HBj683uSbb/KMkFzniU +opxTlDZLNstvCMFejb9WJmxj/MUqcGucRu2NwW6jWmO6jUOJYtDSVrgPAslcx8+ dClxVoTYCyJSZi+xazKhMrehhBAsfYNdZztkDEmZEEpwyEtxJiANCtIA09MJTgKz LEpkhrmP30KVDPb62LTdaltWMRVoo3qALMsK9DlEn9rFQjeAUCIygt632y5OaIHa QRvdNoNPetNmY+846srehMUKwqYvdWOhtguLGBJ2frc5JvS4J7NRvqdalUvdrO1D hoZxuwVgL+mREvOJHQd4b2nIhd0gbLc0ba8rx9o5ziCXTIY3by444jidWBD8/FWS YXHgiKZp/hLf+F3TQlieAhOUecYOVNxfUSyh3G7Fxr/EBUUAOAVB3tcliDZH39ta GVueM3TblPXOQEeQIdC2tVe0VPXgF5z23M3WQrzQ61GbGFja+ZLtyoeBEUuyUX+b ZAW691EYjfVYrq9NAUvpoeX5RiW+wbB8RF/rZ8HgPQvdOD08V/pyGAqGOQuFM3kN aXE0DYWAaQhAsx8slQFpQgpcnIr+4RrSeYEZ34ueigx9DNeH0RiQWHNjVc3Rr81S V1Y9Dtk8IAdCbOvXGEgpF7o+gjZDK+jc3dSlAYKUf3AMFY6hS1Ap7Aasynf3QQ9V wM4OQErRp9JsAs4h8whntS3hK8MFnIxjMs0DJeIcT/CG/Fi46QQn4eIHKSY4hcCE naD5dA1NmWLK9mgynqIn5d2j0eYf5yA5leiXsh+HTlc7n+MN0t3ooTV921k9M07Q WjWqh77c1EPCamwqZy5XsAPdkMPgA27LV3B2O+lqCKD5FAea51w3VojgzF1Xa+Ve sgvcQX2C6JECU4bZ//IJlv6nT7C9emkBpIpJvRkk0hO8n+srgFNKMSEu4bOTberl y2WQc4qe67ZslBMxtYPqV39vkt/Afv3DXVPtqrrtnHeopS79sld4Csr31rBWvS/9 rP4aFRyaQ6jajYtaDxswc7vB9ESVtaqA0AZGp653vtXSeFhoGhUBFwGuMUG68dF8 H+QHQ9/Y+TKm+3k2e3t7w70aVNmDwCTaYJgyXLXb2UVxexBKMqFOBTv/AGh7spTm eznMhqm/y1o8w2Q6qPU5uwznE7mT30t+weM1GnOGZXH4RQFFTr7vbNKUTa12Mfyu XOqe54e/kbtm3CrnGaDcV+saQp6ce9PcHCmSHdntn/YTbY2pO1wy9N6eGgIter1c K7+XPxr9atdUP0xu5xUL524qj6n/AuwM4RA8LwRL7ldGvsQeKZJx68P2qzj3DkJY AOqnfwGhjoZ+CmVuZHN0cmVhbQplbmRvYmoKMTk1IDAgb2JqCjw8Ci9GNyAyOCAw IFIKL0YxNCA1MCAwIFIKL0YxOCA2OCAwIFIKL0YyMCAxMTMgMCBSCi9GNSAyMiAw IFIKPj4KZW5kb2JqCjE5MyAwIG9iago8PAovUHJvY1NldFsvUERGL1RleHQvSW1h Z2VDXQovRm9udCAxOTUgMCBSCj4+CmVuZG9iago5IDAgb2JqCjw8Ci9UeXBlL0Zv bnREZXNjcmlwdG9yCi9DYXBIZWlnaHQgODUwCi9Bc2NlbnQgODUwCi9EZXNjZW50 IC0yMDAKL0ZvbnRCQm94Wy0zMyAtMjUwIDk0NSA3NDldCi9Gb250TmFtZS9DS0hS SU8rQ01SMTcKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDUzCi9Gb250RmlsZSA4IDAg UgovRmxhZ3MgNAo+PgplbmRvYmoKOCAwIG9iago8PAovRmlsdGVyWy9GbGF0ZURl Y29kZV0KL0xlbmd0aDEgNzE0Ci9MZW5ndGgyIDQ1NDQKL0xlbmd0aDMgNTMzCi9M ZW5ndGggNTA5Mgo+PgpzdHJlYW0KeNrtklVUXFu3rXEpCO5BKlgguLtLcNfCUlBV ULgGl0BwCMHd3YJLkADBXQq3QIDgLoFNgJO99/n/0+4+9+W083bbXfNljT767POb Yy2mF1q6HDIQJ0uoopOjOwcPJ48oUE5dh0cIyMPJDWBiknOFgt3hTo7yYHeoKJBH RIQHKONhDeTlBvIIivIJi/LyAwBMQDknZ29XuLWNO5BFjvVPlxBQxgHqCrcCOwLV we42UIffIVZge6CukxUc6u7NCQTK2NsDdf7c4gbUgbpBXd9CIZwAAA8PEAK3cgda Qq3hjgCuP5mUHWFOQKG/ZYiH879ab6Gubr+5gCy/OVmBvykhTo723kAIFAbg0nD6 fRr0N8v/GOv/QvXPcEUPe3sNsMOf8X/O6b+1wQ5we+//NDg5OHu4Q12B6k4QqKvj P62G0L/Z1KEQuIfDP7vK7mB7uJWMo7U9FMj9twR3U4R7QSFacHcrGyAMbO8G/UuH OkL+CfF7bn8hcMmpKukoa7L9/Un/bmqB4Y7uet7O/4790/1XzfNf9e/xuMK9gCbc nNzcPL+Nv9e/3sz+cZiCo5UTBO5oDdR1BztCwK6Qfwv/HUpW1snLl4OPD8jBK8AN FOEXAArxi/j/nz59R7iLB1RZHijAzc0tJCLwl2rl4eoKdXT/6y/4fd9/1TD47+lA oV5QK0BmFikc2YKdhu36zVX3HL1h2/i8FqCz+DhN4CaPbHLoDMcenXPBNjzUTutq 8dkfh1oxqbcsdFIRdQHqYh+7b8x7vb2pqlbJXsFGO0y+X4tWx+5yTBM3gVC4uk6g MZ8tTBrY8gR8zdHx1y4gee7OX877X1A2388NBnxZglSB2L4MLzZsR+20I4lazSl4 qiawZVvc1GI4TshBQMQU3rW8xP4OwXyhj/qX0hz6gYhGJbstg69Zokfxp+TXCMKQ uu3I8z/0M2CJ92tosz/308IWR/1GiGcrsg75S7Fq6H9kTZztoPWmO3swCoQe3+BA Xg9NUT/VqjpKrFT4F0cShYUR05cm7y99fDCo4TJlEwiiwsEM11DpJUd7N8O7qSXP qzv8KhpdW0JFRq88O/6GdQyB+lYL34ysorwetW1eAE+VUlYNj8/jIimzJ8HHyfIF E1dUCvgDxDa/9h2m7nD00Vc7oRBPD8aOUrZ3sTzS7j3DdBp0MkqIBdRpDvKcH6k4 c2ZoFRnZqTdS7P6dRDlfj8WKb7FQnA+M9A7IzDq6wd+vAqlqsFNfDZdEFpRb4sQ3 SdlpJUTIuV7/rBlRtuAjFF4Epfa3hyxicgwFEfyKJIh+04ExeyfuyhmJtTAhTls4 iJcDPV6A+9f5bWwQVQvNouLzIQBuD1ATH05DLj6vqkSJBa3gi3MbZ7bNzAHcU7u5 s+r8oBkSrG7VQP/PzSufHrH3sMuefSsWdCBIfCZpM6K77Up3zRQqpealyc4umkeU wb/0DWm945O00Hb3/epWWq5Aiqoa5u473yCTxxjSs+7DC+bJG4xmVr2zK46nmBcq UKFKmAOTcJb8iq8RTB6nq0fIhW18LHIgZrr6IRQSTTuTea9QDKl94UocePIzeB5t Y2Hz3M0vxSVrJEc1+2EowDi9NSwf1O9KIXH7JmCy0vzgcenCO1psxWCV+bb5DOkQ b5KRnzolXXeLfBS5y7ULiR3Tik07uSAyubuem9+aZuYpEJXfHWSGDbFrRvHVQ9UU sjuglMkAewQo+4CTiff1Z/QBtPTAuCvFO/czdstsjaNE2ZE+WkbJ5eAwU/11Pxjt 9dXq68FAfVV87jJJ3jkypehDjIJH/mF3jYk5bVPBC5/874A6lcyhq10WcoK7xZps jqrkauL4Oy5hHWSY6gNrhE/fDzHYvvLAu+DsN4/NVuVpTcYGR6AQ/EKB1S5S8ypf MPp5wJZ4QXy8nP2DFeHLjk+wpwMjB7z2gfVqK0vLHk5uLtgKK6c89mDDvMtwSeKg NPZXtTovRAZxQrMbTd7qg3OYpn0WvXy9B9f9PgkH1IJvZDU9u5gUs25s3i2WuAPE iNOZyJYd9+nqW1punonmll8HoTNZ5LVGZbUoy3nip4FTuqu3u55isXuNuOIiN4B8 htwV9GhyI8K+Gv3RkJKwyKanMbaz1Wv2XaGuWk30Ta5S/S03D+0txDuXLcszgWBI sbxAMGEFs9JA/dmqntQD6dc1ydU3ywu7wnZT3UcR3ZjPZH7sUu1C12tABmrbA9bt ugMe1GtrF2bwY5FtDMr1wpgw1YCp9O3z1QbI1yfZqKatNkS00tlFf7WD2gD9kOnY t9mddoeM9KHmuxFstbqqlYrwgtepd7LoBjy3Ciy1kq0J1jUFxc+0LQ5DIknj7vuL j5pJZ/Ncfy0gu/yCB7fsNHC1HHHCUT42oY9KU5dntx1+3+gCNLO+jbrK0i8sEah5 h3JpxOVASLbpWjQjl6H9E2C2SmCeMjPcahJfC0q1SxXR9VcK+1r77kfhS/id4X3+ Rn+8WhFZfL23zPoENe1zaFbctkZGoe6jvHs4MKI+STuPa2pM7ce5B3n75ODpArgB ETGjxzWLXGJa68dcQps9okLWYDWYbV5Xk1Qe1CgclNUnU4M2Vu8UlYvMjXvJvMcU 4M3WmcrZgc47wrHZ2EuN4jveUpwuw+8lCFMi9FlBDFovYLyJnhrcuvSodnrV/ogp YTKiGI8E0s+qAa+AygfzKfRtAcsG9/FLwkgYfFcrpDG5Ry6qo3HA3vlSsB8j/T4Q B3VpohA8TJzFzaNoTzyS7msSxJxu2aY5/nAp+llyBZisxzjLQ8keYcX+OF8XQ+yZ 5vxkn7D5AqHhikPw0u2wqLOI+h62y9PVciIx8aOY+/E5OwD9KRuhKkFonlXVbdRP XRPJ9qAAdAr06ZnXtjzWsvn4Rr1wd2pFfvk6MnzzAhgrhTqqP8JBy4pLvA6Gdznt 23LE31FAjXqfnoqZuxGsFnRdZxSRMlHJnazBhvensOmdToXndV8OT1OIgP5Wjw0b pqQLaW9rZo5HcCk9MNGSUl5IwlSeBz6zS4x/TLhey4weVxzCkiXrrEH6SiHi1WF7 B/teOj+hJxr4BckzNO0VWX+ZhB/VJcuFCMQ0osrXLnytDU/7l/BH8UQpBu/xMMLd 7NLLklCF3NwgqXZWX9AL1fytzyy5kSvBTcwzGnvhNmmSw8WEv3L6FHZ0U6JzMVm4 +XtmPV9I0cd9+viGvEvahZIxGWma932+bY2ur238tXUMPnmRKcNNAW47nkfMV45U 9Q8FS6Enuv6z40rbRfVOyENnbXSFVaRM7AXR3AIgpk/texPOH1YNOzB2UzXi62Cl T8alvd7tvd/mr1axz6cxksycVQZSdCAu4ePOQSkFmbjO5ovXzCGg8Yw5FJ2mm59T Ohqv5yXebjGWU0dwZ6EvQkkWBaRQeBf7fB85b7/Q0zOMmdFanB5wPWIzeu0bm6Rw LgEHaxSPailuMMTZMKn0AuqVQtNKlzMFJTPdshhcUitf3daXoQrR5kDy4hnYFiZj p/j6eCaor+SebgYvaXN2O4fyhtsVFSKYOr/eIj7UV6HOWIjVkJW9Zp/aoMEYgtrz Eh1vDMuWMewQjQlCqrTlUQyj1k5i5L4NfBCZmcbfsMIa3ZHtdvC9X2AEJXEiCWmA kEmtfdhV6d6Wzc9QBH4lwdclp0vJOIhfe22RH07+cmQ77iR/W3o04zyJQ/QLQdrF CGS12ND81Xm5I7Jvr4UjVTk+i4xzYn1Vw4fWOsXNFRes6j8uBQeWYhnWa+XOPrPP HUy6q2q2efaq01CXf/Y4Sig5cpYiz2KCUMz4IRMydEucDeMI0t4cz/F89xkXhGl/ SY5cWAT++mVorTIZAnWilRwXUbMhakmZb9bnJSYUqnyDH1MtRzJ/LwZDVutsfAfI 18RBl2wMK1E/1hMuE3M+tD8Iby6M/UasbdaPlic8E6fqFJfYHtLD7K9Bv0QQXOMV dlRF5LiXocRKLFKAwtevnRoYZWQ7gaOtP+aD36CRJk7VJOXCPUnAxxLjfbN3POQy Q8h6OtEDeu/ZgsaJlXJ8w6XR1UyPusOnVbwuNWCgxEPjsZyYXvG+v7aQmySmmMFl ozBKfnOpcwdCfiBfecIeIT3U67RWsCHuMbtHW3kV5Jq/CHLckdn/oBBrQSTbuj80 LSP9Ovai1VCQb0Oac6QbdUZj39k5brpi6G14FVXvBqkVxtHnqpyz5lLrII2AlGzk n2UP7BtUI/fJYgYhbuPDpiImLIFsWN9JsJIQlcQvSyuk7LDDRE+IxAp0uiy/pQ5r fmUxbVKev8kjb0gJk77brpU9Hr5D9Ewb7voaiXv11t/ZH+7vCM7XErmkDT01Dbz5 ebYeakOZtWE8qdYizd4Ss6gx87PL9ZzYxQvvSRj2jQW3InuTAu2lOWjItY624mF0 9APpLQA/yPtqOO+ORzFSSxPBaoJVdhktHkV11e8ZbDX72frjQdEma/y6DXXprQVW r5sOvdfQ5mn7UWzS3CMzNf9nFlYkMujHZiNy6Jokc6IMBZ+Z2uPMOt66MVwjFXgS xnLmlMeYYLKoIfhztbQ6NnLudpXplkqOc44wsMmTxPCterMpMvuoXXnUs+RkHWY6 dTnuXWaxxhnsBONcBu1oJTQbzcTCrmEFK8wFCjzovY2PUgUvfrz+DP6+PcFCd9np R1N4HZzGt8QrThwC/C7xdgWclzTQt6rUSWucUkSqzqarPuGtHB2DdW6OwDGVMfvO mQvkvZ5/pqKuaXPYghtj0XJ39M6D4LubWWfOnU/hpDHG5cvSwQa8P5BL8wAT3LxD IHc81rrO8SDKfMVXvAikzw00E7OMdX43xWOvuzaMUrZ3wJVKXD6pD6eDvQv+Ih3h DXSoqEwf8D9PVnatHxqgkocvjfbiWTgKh0hIRT2IrPOViNIZ3nMPkoW2HtjLSXwM yGzWO26VoeGqbSnYntJsw8kyD6Zs2Jt13J7yMyG2JU3MTyP70CB2s+AiGVWe/Q2S p844nOlSZBXgxFxZzJ1bl9PikkoSVHkQ/G3i+nxPeu510UYIJjsxfnchCSQezFIj /Yqk7kfWWpzKvY4W+dvwoE3j1HiABA3cd7pHy9O4rrkfHQQlMfj+h0RTpuM11dOD ekdkq2GApd+7RbHuOpVn+4hj72ri+vBCBkLy7WIQ0xkaX/K+p6Tsflh5HLuzPHDf CkYLn5LuVoM5J77Z/yloPUiCqeMZmajhSJterJx4Y/szOrzH0kQ/L5zNb9uf1hDN 4m7I+8qUJOCS8sF01F49XBowhn5s8PiLqnl+lhhu0YA3JDqNhb2kvOwk2mm9pIDC KaZIl4EgjzsdPTFD8SeTqfrx3LdYIvIe5vMFXAaQOuVzjmhsmFulD93yWObr2/Gn /VLUpZxr94N9WUGDlKFXvEOLNLFebnBwAJsh+HT/VPhl+o2cNqHlTdrlmiRGe2mb mQjNFdA61ZoAmXiz2oYGFSmX9r3R4U7X8/oeEgRQbhcs+3Jn0uI5Y4LRgcEqh44t zSVKhP8z/yeOvlrW2sqkHusurlWJVlnfzmtEws6VKYhU1mjKh171eXQeIYPfQhHl kskhKUNLVKVwovwFT8hqILVmi7MeoL8lraR9zYHEJaRRfVFp5ySASjyW/gc6PYsj cMGgGJ/SOY1vZUQLAYPsP34oPDUfOLG/E7Nvs10ZrCCaxK4KHDP7UC5f5+BPQX99 xgNB/PxuvxZLON2UT3/cgprTI3vNgXXxUZtktP4Rt53/bo8KnQdXyYZnj/zTPFmS py61L/byqLFqSkwUw/q7V/N4yTbH0iXEs3CtXF/jZYMcoQl5zyo5AqkJytxo408d G40nJlCCxFKtficYZYAPIN1i8zYBDuq2H4iM6O7+VDgxogZHc880EHnqRIzu2P9x YRljysRulx7trwscS7IxbuyrxGvEoETxp5jNOo6nUCyUdrM7VPXN23vdw5tgrqMd pcmvLNIlhWIJw2ylDQ6BhotQxQUrlah1Wsv97NZsQm0CQ/b6fbZ+uI6+/qyEa7MY WNT/Gvd9otFdrNDu3aXnTDrus6oWTPOLxeM8DdbsSwUdqrbG6eBIGVXyJKXJd+Hy 1O8lx44RD/J+7C5enSsvrxa5sPjZzyZfUHHW2n55HfX9XEiqDM1mtGK9udHHLxVF AyTzHleEaqzaKBwr/vzw0TMvYIVwTGtFl31GXcSMHja+Y2Jlca8z7NNl85hcvd9t 4PAQb9pqsu1FGV1L5ViptloDD99XEuWPByyZMEnlitMJ22XWoTzbjCmUR5U5uDAw 5fcm4zDsxVXBF8/nQ9vbSGXtzywcytLMAo5LrCMV5ImMbJzn97c8r6oDqCxD7xQ3 fvlrX7QWvK/MiBo6zUwdAp18aScpVQCxUSxkX2IXdm26YvMZC8u1P+5FigotKt6O 1EnbiItm4CAElrHa5nBornD26vtkTF1wt0FzB3pZyT36bvHhG7oyxHScmFg7YrK2 7dH6Ul05EaFPwNWa9b5GlUHJae0mFrAKWgCyZykhd1QSfVeBSd9kiSSnti5b9kxR eMDCp1uKU5P7/Iyy8/h4YW8F1JxGLokXXxIEN168wgO8vAm5yIESsUfk5s/NDATF VdRPgyTVkMMHsMlG0y7naD1Ljlf1qIIDmDuXvUfJyGJwd6yOPHIH6+GLe6IhGfzC 91zKx2xrL6s5noT0TCtaTz8wdwRd3nSljxrvmeQNiHLPTuUTnr89yMFiNZPAhDAt tP3oiEN/82DZ3xkd4RsVnNxI0/bwwhFX2fUWOfQnxbyYyHzeg6m8OXuHpgb3//IB /P+A/ycCrOyhYFd3Jwewqx0A8B/jMkC9CmVuZHN0cmVhbQplbmRvYmoKMTIgMCBv YmoKPDwKL1R5cGUvRm9udERlc2NyaXB0b3IKL0NhcEhlaWdodCA4NTAKL0FzY2Vu dCA4NTAKL0Rlc2NlbnQgLTIwMAovRm9udEJCb3hbLTM0IC0yNTEgOTg4IDc1MF0K L0ZvbnROYW1lL0lHUVJBWCtDTVIxMgovSXRhbGljQW5nbGUgMAovU3RlbVYgNjUK L0ZvbnRGaWxlIDExIDAgUgovRmxhZ3MgNAo+PgplbmRvYmoKMTEgMCBvYmoKPDwK L0ZpbHRlclsvRmxhdGVEZWNvZGVdCi9MZW5ndGgxIDcxNAovTGVuZ3RoMiAzMDkw Ci9MZW5ndGgzIDUzMwovTGVuZ3RoIDM2MzQKPj4Kc3RyZWFtCnja7ZJ5PJRt28dJ tsGtu7FOyeWWLWbMWMIgW2Tft2RomhmMYYYxI4MIRZYklX0P2VKWlC37Urbsu0rW rElC6FG99/N+3p73n+fz/Pd+3uv65zp+x+/6nd/zOE8RIVMLqAaWdAWnQyJSoAgY AgloGZkjZAAEDA4SEdEi49AUPIl4Hk3BIQGEkhIC0KA6AzJwAHEWKauIhMuDQCKA FsmDRsY7u1AAcS2JHy4FQMMdR8Zj0ETACE1xwbkfhmDQboAFCYPHUWgwANBwcwPM f/ziBZjjvHBkbxwWBgIhEAAWj6EAV3DOeCJI+geTHtGJBCj8krFUj79b3jiy1yEX IH7IKQEcUmJJRDcagMU5gaSNSYer4Q5Z/m2s/4Xq93AdqpubMdr9R/yPOf1LG+2O d6P9l4Hk7kGl4MiAEQmLIxN/t9rgfrEZ4bB4qvvvXT0K2g2P0SA6u+EA+C8J76WD 98FhTfEUjAvghHbzwv3UcUTs7xCHc/uJIK13wcxcw1by15H+apqi8USKJc3jn7E/ 3D9rxH/Xh+Mh432AS3AYHI44NB6+f3+hfltMm4ghYfFEZ8CCgiZi0WTsP4V/hdLU JPn4QWXlAKiMPAJQUlQEFOTh1/6nz4qI96Ti9M4D8nA4XEFJ7qeKoZLJOCLl5y04 3O/ftRP+cDo4nA8OA0pO4cbTO0oJSH65vFk/+JdNVdeQKag2ZyVBfiuDp6d9nc2N ETbsGnaTYLo5wrG7ZBoVvy0uqHarJMBIOaZ+y6GJRoMUTfCcceqouTT9Bfn49jy0 F/zM7oh03SouqtLxUplkhryfAyPn5AY2g+Lx8lOLEH/Ft8G2gJej2CI7yZevRspm Imar6ZCYQe2rBrGSqY5bT5mI3VpYOzAf7akM+Jp7sOzNA6vP6lCrwP5yXRfb0uxn GZ2wE5vT2Rnzuroqyj2oGf8WURAyzr/I49HDS7eeaXHzCxwVLmey99WSCLsXRVh5 rEx+jGm8G0m0A3i1AziMawB9cyb1fX8jxg8OObqkbNU/4pnDAEWrsc6SFTYeGVvx EmV/b1+IbTvtyLolMUf9vPouTjTeJqRxON9GMhpl5l3VkvAijol1M4anuE4BE97w +MBVcI/doqxotNdlGSl2Z+DT6NObE9Cv9HJuqSxhqsIgHp7Y8jPa1aiHWuUrI0qT l13sLhZkp7faj0w/PpNiX/hA7gHvGUi6+uDn6NjTWjn8k3FbzgBEPbJ3JE1+szBh eitK1mmtwcDu4BjfaLv2CMvA9ruAPJ6bfJmehUZEIY/VIta052s6S/FBikaZu01l YOXnfDXXWWDFeWEXKWa3NpzKBNgDaAIYNZ6V+++seB8KYeYNa+MmUE+dNnIQqu6B rDrWLB3qOuB367bMyHW62drdb3WpGfWD9WfkLmx0NXzBBsWckhO1F+1HFKndrO1o azm1s/JWMoUvxdxie14zeGjdYrg3pJj3I6+DQ436Kec+SPpHcEr152qwbRv4ka1W WRK+QBLiF+9o8f2v3gnlt75dvE8yx4SsQ461BmuUCagy1Kkb9LM9SWlIoVba1sxz OzJ0sB9IFTOIFQxUMIjrm/mLTlFftG4V5E+91F9meW2AdffxoSsaP3/pGepYR6Ow 3/dC2wyl5GjIBdbVOfrTMnSWYbnxKYX71Ncfs69v/pkfE+mOhAXgFXxkaEVJZkV4 JdabI4riB6uNH8UjcAGctLmIJm0IoaQ9IcUMmuE0NHGVW3djTNnnzUmG6e0Njpci rssHZOTup1pyZOhnwbWK7I6ah9bbbCH+SXYdd8wgNq6EqIxH9EuPZDB0Inlat8E+ COdwiet2xKiCD2aTNUmX5v5ol2CjodYnaz6ucyeVz1Pd4/z2PI0qDD4PQtUGbkvu HAStTPjdCyd0EUiTwzGfl5lFFm33GV5Okfg4aSiJIzC/h3VoC9oQFnXtRIdPVeKA Znq3igjjNv9mzXyColFr7eSwjKv+zaamaGiYcZ4yq13uJQ6B+d5HA4ZnMswyT3c9 UpunHGueVJAv+3TRom9gxmwsbStzXoo50VYz3sSuhDs5knqh5qzZlF/Ug+SJ+NwT V6zD8Yl3vikOMtczQzQLFvWCzc6f89KqdpCrj5ojbAW6F+LeHsHY6DjkV0uZy2rP uhc4AJ18hieqaK0J+89IVn2sQgHakhu7Z1SnIyz1y5tvo/5iSsZLXL+B5o0rd1vb K6IIMdjK8umztUOkTki4nqjJXkaOjotWhBsjIDaGd7TsiFez0tqVjndfXq1+YsB8 ddGKMbmz5pGAwmCLE8q6J5VpHHz889v4F1LvOkqXh/ihfba9jV9Lo+Wk2GC5D5zu zxvHVnMwqEtSfKRr2XbNQ/Kcyr+TVC0AneSoXena7GObwozmoydz/KAbdweExurH v2sD22mvP39SBEgnbbgqPykU9jM8PVn5l8zUdwujWfoqL0LnKDWhOTLU9qRFok8g 3pETOFYYO27fdn4brl9smYl68l5XWvnDOfVoO4Fdo2ISA/Nz9CnhJs9gw43YJyh2 8YUMtctqMnN8NEwMiaaesm+xx1kdOr86LWenx6h04+IbL9HOuTQehkTicPS9FcF5 guJgw9jN+pwSVZjnmGzNSkIwB5cJZEyId+0kMlLbod3xHjOUU8tDP6s5IFJcvrFp ZIqRgSux8dF+kdDo7lHeikLzTuiHAcu+dF6JiNRqqkvwZVUDGEes87eha9jZQpXH l+dNHsU/16ugVXSQ2c4JlEXHrcyVXFw9ezorRzworHVc7dxpT49ms1MWdWJaoXXI MxOGUB8l7gljHukDXUnObqckEc+lVH+3I4JH85YSsDNz4x/Q/MXJPfhp/pjwLrep eEgkNcJw54X3R2R33zHund7KBdOl9cw0Pyh00Kuq7uicUioEnx76/GibLP7LU1FD Vtjuq15raWQq3zkN+y3+TzeODopdPOpD1mWaDXumE9SbX9CoPPVBtPf9kXIjRv40 FbGN0RhTl5dnJVRylOKHzk2FuYMJuQkmPT6ZiMhBy3sqFoYNBDuIh6e6fX6/Jzyn iCN0qvsCietpX0bFGOKLk3R8T66ifemtdoOHe6X8b0YKWnTGwdtyriMmJCBPHXmX p/w6U7lHOOfUsPesS79NuHfbcSuOLJnEDnPPGj3k3ZNcSXce078XToqDC7fS6zzP 8jMbtlB44HshVZu+kNHNS1mrIa5mcjEvqqWyJuXLKmHtVGA8JvGIKmg03hEy0Nod p0sXeFFR7yuVDz1kMHZ+vCLYWrBDqki4OdWGycxU9k+Gu7wjBHx+shllfq+/qMAu BLpbOr9wQB8KK1HnRdbzeMhaHqzSPf9Yk3akRuMWiGeC5Y/bGUwMbGzNr3d203Qo YsEDRM1Tc1IpRayN4udoRdtqp+ev5/eOfAeHsTp/dOLy2RdwO2K+uN7dRGAXA3+A DHGP1Pq/6hgpsaPbvbz4XjigGzotHuO1TPDPdcqYump5XPeNQF1KQXPl4uuYeC73 PNMZpNSCZ1IHs9jRxRUHb1wgGmJhZb87t5SD0m7dXEHHfAWH/JnOa3Xvfg6U+Vq3 Or8JoXfsHNPMLHe0R8NqNtWXfX00Wi9eL2dnYQvZ2Xg726NnXCpxiVMD3R4Hdw18 TVU0Z4mRaFVmYQYZqtwwzIfmjhFMlOnOE0TS9XXu+CZ/gpbchml9rbgrz5Fz89u3 HZRo29nTgWVjkovZ71LvOc8u7mk2V+7GltfqC5WTT2WXBd3AyrPFbt8GOX0R751X nYDLTnB5Bok+ZVnav3Tf1GRNszfoShaLonXOkINVxCANdHLf6Esgnr8CvjzAHLMq nm5tFSLJubxGchY7ZzxltUbvMZpjApkb0BF8w5xD6zoazB4xkZWn2iLxR6m3zavS 1lI6mqlUl6u5JaL4Ao5wi8VpJBoPr1deWQePtfI1CiwfH7sannolAakx8qSjHpJV 5te/HCUIWv5eyTV1PePL+v2IyY01z8SAZ5kHyUnGJFCIitA9c19O52G9NCBWyWbo rvrXYTExdYzLreQ0VJ/TsGPC4ly6/X3G9qj2gg+oWsPSKCeDXonX/AssLItZQcXn NMHw9A++txLnZXhlpu3E/Auz2TvEebYdHbg1Zns164XeoMhKjTtv1CMGNoiwzodc ntZT+eyhxRTf2gHuUG0HNlvXzoHYpJZNDiJt3FaVtq7TUElk7XKI0tO0Dp98qyJA upIJ2gyTkI0yK37LeeLP/a7+K01MfCswhRIVF4uObx8dFcdMoCu1vnXNMwMrlBF+ IwI+scvO6rH3DYrpiKfMzvYx/fFcWcKbUBjvNpdoQH3zhiW5douOa8HQEpxFkHNr ye+KqWxuUpxhpOtT2yn1l2bg2wvl+SzUvGuZ50K0bDTWvA6RTOhrzDMAAQmhV4d5 AnKTqlZhaZ2t8I2efrP3nSUpFt0ODiIq593t9u3beIQ7P3VM2Lyok+FxmxkvL5Uj qQmZ4lZVYY2m3hIXujdCTzK+Gi1719swQ3genqnLevGb+e7ltq+uu5U6rzGh3EZV DvdEih702YSjWU/80Ulb3V6IazCgbVf0DdXpXRWIN+IIqrbJkt5yLHyZHnLHL5Fr u21rlbqwJxL6IETc+33ikkdZM4pzujESNwnW1oXKXqOhdGvFVptM1A83d6ZnPUkr 8YaotXSDaMKawhuqHkMusglaZ0xHctRLrJqwobt/Z62JPt/0ODhsVTpmtlD3Fbuq T71kIdqaTdonhY9tfFJEoPViz+qNGT7VPc3lJhWKXitHnmlZntWCYLKRlaD+xohY AXPUe3rHzGd7zUYxiAzlW0mvqhr2WL6i5MUTwl+CmJfF6gNwo2136Xg1x+D/4QP6 /4D/EwEYNxyaTCG5o8kEEOgfRXFLuAplbmRzdHJlYW0KZW5kb2JqCjE1IDAgb2Jq Cjw8Ci9UeXBlL0ZvbnREZXNjcmlwdG9yCi9DYXBIZWlnaHQgODUwCi9Bc2NlbnQg ODUwCi9EZXNjZW50IC0yMDAKL0ZvbnRCQm94Wy0zMCAtOTU1IDExODUgNzc5XQov Rm9udE5hbWUvVkpTWFpRK0NNU1k4Ci9JdGFsaWNBbmdsZSAtMTQuMDM1Ci9TdGVt ViA4OQovRm9udEZpbGUgMTQgMCBSCi9GbGFncyA2OAo+PgplbmRvYmoKMTQgMCBv YmoKPDwKL0ZpbHRlclsvRmxhdGVEZWNvZGVdCi9MZW5ndGgxIDc4MAovTGVuZ3Ro MiA3MzEKL0xlbmd0aDMgNTMzCi9MZW5ndGggMTMwNAo+PgpzdHJlYW0KeNrtUmtQ E1cYLT5hRcRXq1DKFQRBINkFQoCk1hBAooCRKE9B1+QmrCa7sNlkEmwqRXzhq76h WrBAQbS2KDooHUXBKlYKqKDFWhSrKEUeKsyItNoN1OkU+6fTf53u/bPfd84999zz XZcZUpmXSEGtgKEUyXhhHCwQiCNkcf4A46CIi4uYhjhDUGQwzsBAgAUEYECkUwGM B1B+oLd3IIYiiAsQUylGmlAlM8BN7G5m8YFIA2lCjpMgAmeSoYYVkeNqIKPkBGSM HABEajWIMm/RgiiohbQeKjgIgmFAQcgZsAKqCBLhmj1JSCUF+ENthS7lNaSHtJb1 BdxYn+6AdamgSLURKKAS4UZS7GmQ9fKPbf2Nq+HioTq1OhLXmOXNOb0B4xpCbfyD QGlSdAykQQSlgDQ5nBoDh7xFQAWh0wxHJQyuJuQiUqWGwAvz5aA+vCGA0IYSBqiQ Eow8GShxtRYO9iGpGG6FTW/QCDd6viw2fpHH0GCHQClOkMxiYwoE6J/swRr7s2ZD ogkDSEA5KIqxRHa9/kscdlgIKacUBKkC3jw/gNM0bkRQVsqbxwOrMUCQCmgA0MA6 5nJIimG3ADYaE1BSNGKeKubnC7i4lg2L0K5ix5JshpE37xMURBlWe/mgwCuAVcYw fx7g8wNMfyUuIYlUHZQEAx6Kov6Y/2BXrqNpSDKD74jN6nWtJNh8ITRAObL/wFTC Ypmng0ff8t5zTU4xFTV1zaWfzoo/jk2PrM/YFTU6g4rcl1hXd8nD89nnG3NqWxyb eQ2ffSywUl88Jbyz0Pl00fgTjjn6L3285Zctb3d/fyY8c0TnWwUks0EeYZnXGN9b kBVdKPIUjPv6RUfq6p6WvIG0zOWV8+JV00ovCWMmhjS47qH1stFo/kD3xZqeOEuR oe9IXKu9Mlr9RUXQsR12iWvsn4ktkh63bywvEdRZpxVNDm7M6jyws4bYuuDDnEU1 JtsPZk4py53C77/2wDrywdNpT9tSCdfi3BLDE4HjOlnIdIeb1x22Z1T97CtMi93d nHBb4unmlOzbfWXppJcFK7+tFdsgRaP2vue7MeuO2jFg8ZUqyTanxD3CvuTYqLed Q3uZ+NkpG5puHg3TtGo8D7Uu7XK9O0llX3DmUvPSmsuby5k+yxVJe7O6Zr0y2Y1p E9SfPBymr37+RIDW1nZpq7/rfTg+u62TG+T1jURaadibflcx1WrPbru8iBtZMXGS zDSThcdp28qRxfnyOesLt1xd+9U0RODz66hf0vvdPQRNn4gQt+yeA5xXZ2c1xie3 zQ0PLdlVJ9g2dqLDNSuy8WpPcQxzfmzPy9wG27JCcZdUfOGHXuv0RmPnwYtoZc7c 6NxTMT/uO+eZ9JFCX3q+WB/5ombdY+MNoUXvmika59k1v63fNF2/xK9D+qLwqE35 8ezuMuNZQQdyxTovJarBNVx435l2D5nwk9Dktblzyw6ppW2FuCV8/wmkIcEw9/22 dn25ZM7RoOcV+QNtZfXb9/e0VyQdzleOudMtDotq7i8lnqSPjDyo3HR9t4/fSpKb K11mzOivF+5cIF1uopuDJy/KlDm9G7alcpz9obWPdrUoRwha7/MjmqzHVmNHjrxT dH1nIjNzof6c3QD6aKHJ4WF1ya170R3tm2/Nt5nXPmEi/Sp93NZwelJjVayLVfbU 8mKb2SWGYzPuMeIlmxKqLhxK3X6y9+Z69F9+yP8C/wkBuRriNENpcHoVgvwO67XK 7AplbmRzdHJlYW0KZW5kb2JqCjE4IDAgb2JqCjw8Ci9UeXBlL0ZvbnREZXNjcmlw dG9yCi9DYXBIZWlnaHQgODUwCi9Bc2NlbnQgODUwCi9EZXNjZW50IC0yMDAKL0Zv bnRCQm94Wy01OCAtMjUwIDExOTUgNzUwXQovRm9udE5hbWUvS1dSTUZDK0NNQlg5 Ci9JdGFsaWNBbmdsZSAwCi9TdGVtViAxMTcKL0ZvbnRGaWxlIDE3IDAgUgovRmxh Z3MgNAo+PgplbmRvYmoKMTcgMCBvYmoKPDwKL0ZpbHRlclsvRmxhdGVEZWNvZGVd Ci9MZW5ndGgxIDcxMwovTGVuZ3RoMiAyMDk1Ci9MZW5ndGgzIDUzMwovTGVuZ3Ro IDI2MzAKPj4Kc3RyZWFtCnja7ZJ5PFR7H8dFaQyFRpIsp2whzHDHMmQb21jHMtHY GjMHk2Mms2DKUjeSsma9SaRs1xJRSlnipuxlJ8mrbHELhZiUq3rufV5P9/nneT3/ Pa/nnH/O9/P9nM/3fb7np7Af76xmQqH7gBZ0GksNpY7CAFg7Uzc9AKWOhCsoYBkg iUWl08xILBADoPT0UIAJ2w/QRAIobYyWNkYTDYcrAFj6CQ6D6ufPAg5ilb+6dACT QJBBJZNogB2J5Q8GboaQSRDgTCdTQRZHHQBMIAhw+voKE3ACmSAjGKSow+EoFECh klmAD+hHpcE1vjLhaL50QOe7TGGf+LMVDDKYm1zAwU1OZWCTkkKnQRyAAvrCNezp m9PATZb/GOvfUP0YbsGGIHtS4Nf4r3v6W5sUSIU4/zDQA0+wWSADsKNTQAbtR6sr +J3NlA79bQqORYKoZBOaHwQCyO8SlWlBDQUpeCqL7A/4kiAm+E0HaZQfETa39g1A w8bVyc4Cq/r9h35v4klUGsuFc+Kv2K/ubzXqn/XmchjUUMAdqY5EojaNm/efT54/ DDOnkekUKs0PcGaRaBQSg/KX8HcoU1N66Ck1tC6gponePEAoPTSgg0aG/6uRQKMG sUGcGYBGIpE62jrfVDKbwQBprG+HYPOD/6x9qZvrAcFQkAzPurKbusX7kLTq8rGl xv4DrrWdA3h4Xf7bTPRKrnj3kwVBaJv64PGY6AD80tAO7hw+LmP1oKzR+coIO/2k xhWvZg5HsnRUXMW3/YH7q2VMWfy02jPEbSKvRsM7MO6et3uVai76lNc24RfvKbms E/WLj/bvvfOp/3FE/TCllKha3zpUNXFh8j4PhtxvHmJzSTXbe6WCn9aFpRAREpwK TUR44M9a0V8IH4zVCJG91VYB00miz5Ybyj1kLWlTC16VPW1zir+4VaY6iWZU7Vrv 6jsXaZBYxyc4uHtoY0S609xmj/1JyYzbOdMnpkJ4HbOzs+QGJBuj5Pu9+17k4boX bgfkYDbePB3b78GbrxLwOIiwERBX6zFACbiOUrB+dKELhKeH6yvJoe6eClwIJN4b Ei55s9ZVKoLIIslbib3IaUp7a/rsdqdo00R9CeoisCyV15TC7zr5E6bmwcJMDHzH rjEHbjtU9bluxEpKoz3KOP5wkvplze2CKiudKXuuY0xv6Lo+FKtaaubxmE/dsthU 2zuVjB8Uc+eseVzhfryOvhUyhSVWsVauTyfssn44QSKIfsSWgY8GQ40xUXwipTje TG+RyF4DHpyPoS0O6nXuKVex2ioqdNwUrvv7ZP8t9KPXbudyM8MP2pNEnE6B+vsO +bdoz5uitSXgbc/TrLDzS8NFCv6FiDs/P2K9FuYYCWDm2R7gzp1B7KbXiHNp+9Vy Zk/13T7tUSwQXflTy4Pd1y5zxxuq+MnkNkMF/6ZS86MFOc0ac2b6JHl9c1iNk12G hXa0x9knYtlWWf5fJOpwQeLFzthdji/rBLjS6itQ9L2MEo2AsMBsAahaD6WTsxaq kSvkbVDHv1XRUzxWdt3BdyIXGQL2RjWrFGHsHWJLOfMJwe+eRuFfW9Brlx2iNR3g DlvreDqa1DQnEIecn9lu1bfkM8OXWkcdXjRPmpSTwamK9uXyiDYPTH2IUNR82wBt 6PEO4JQb7nJhmAPG6/NGTF291op3s9JEDTQLXR5UMz7ikukp3bkdmbrGvOjQlzfX q9sUN3r/WrdBQMGblHAzrVnf2CIZFxEJ7AxT6Ng2jZVRiN2eflOnzMxzoRS3mjEd HThPLsK3HDuSRjqKryb62vsZk4uTxbpldr4a9+T00CLnznTdFsj7wI1PFYAqflf8 dB/hcTbfectkuVPx8YHdKheiCnt+XagJPv6hJYJojzkW9JTmLdTi4lPi9tyUmF+Q uudsmI6Nplby3iMsy2vRTT2LsLbzainBxc3+mvFPbdytjFplNqQtSmwqeMLFP0Vr 6kRAlePETwqynSdfNXgq1TWml914O9TaJFaRoSmDGBVsYvA2GrQWhUgzarh5ejOE 2rrMDl+eSu0b3XpR3NJC3ermh7H4vs/Jd07z33I5E4QdFpJKjLqTPoTceyT4Ez0t TTpAqFHM5YObPxQb9cBAVjaGP77B6UuiO2vQMMVBzO+o/E6ShJLz4PBULF8aPrhB Xld1+76mBreElgNXzp13Wu6qDjkd+NER7pJVO9kFXxYfTw8NM89UNj+IdZjxEfVL cfHOgEm1t/KYophK4TFD4zFoedG7vBLCEyNh9Z1LyRDhqrJPkZ3PU4YukjspiLmi zX6LRmIQ8aLD9gLQa3UziwsoK+uw4Hzh0miN9QaBa+WIMS/Vm7VIZ+TpqZN9Y5Vr lxl9Se0kzHit8h3ZGNsYL8LF1SZXxXVglDvtrlDYRX6DF5lCxZYr7HM7dfehuxFG Lr9EN/5Lh4CX76WwdTtCLmJ871q8xA1MnF/wY84rbpWYog4/o6yIK5i00ArsSBwv 0w79Wd66xURYx3fVvXR24rhhZDudIDJ6J2blTBLMJKdmll1/JdqzmJTur+Lb+ChS qSNpQoBlKUSMnjwiJqnQZ9rqsse1gBlE/uwIbzlcQVS6ufbxDWbl95HZMb7kHaKN RiSoRvruaJ5REE1I60VPSFUHOpFxMPnqGdiT99qqz7Ps48i/za9Ox8zMhXaHx+ZL CTFtnVkU4WFQwPKXrYa/wgZb3drGtXYbMC45di4wyi/xJZB3mMXVM7YdqQgjdgXc GyT08eVu1118bjR3vLbX5uM+y643rZUh1i1CMS6xcp2wpYBamFDsi2svbXZpmn+4 Lyx4Kyuoas9Me83KMfG9snWZBB83/Vi4Lt3WoCJ1o7qS5+EslP5w5KzKIUZyHI/e mJ5EZTnO7Ehcv9oA6u5wgLQX1OxsRXfzI2IGq6fjJmn9OYbLJkTJRicDyGTRQ8Ti pJsLUeqFLs6e8NLdln+ye4hdn5BIt7Q8t4YafDaok17YQTIUO7REaOHyzyWKLxvG hTfbf2GgobOOOdJvMffnB2ug+vczqWtEnrMFsTxY5N2rdY5RS001EW4bB9i5Sk7Z l5Y+Hq4OkZFlNu5XPfLE68S7IEtJ8424rJOBj133bYspSuFezn4J8yq3zJJ5Bbto oTxsknr86AWYgK2nVMFGkf5zVmJY/2V/YcQ4wh6OU+y41yOXW/ab4cTkA7HskxHH 0mXknQvvyV7k1JZ0EMfmpqHKnvUlmXy05M3ixl563466DtK7vdD1vQWXLePzRLUW dQhrTzfAfGb0hQGeyKsGtbGzGe/vNMIk9C13XSm+qqaAQN0w9UmVals9XGl8khdZ uJowA7tazTakJBmbx8ptyQkRnAy6+rrhpsn5j+psxz3NNW2XRodJRg5JX8x/Y6Rv 3LyAP7bfYr7z3eRn2PuxJwSOe43J0utzJV0a9vznzzG3nC961NyZgL9yKOp2z7VB lZZ86RGOAKKn4hmqzYIRUfBpQzfFeosVwqcH+V9e8P8H/E8EkCGQxGDRA0mMADj8 D6HpUsEKZW5kc3RyZWFtCmVuZG9iagoyMSAwIG9iago8PAovVHlwZS9Gb250RGVz Y3JpcHRvcgovQ2FwSGVpZ2h0IDg1MAovQXNjZW50IDg1MAovRGVzY2VudCAtMjAw Ci9Gb250QkJveFstMzkgLTI1MCAxMDM2IDc1MF0KL0ZvbnROYW1lL0JITVdGUytD TVI5Ci9JdGFsaWNBbmdsZSAwCi9TdGVtViA3NAovRm9udEZpbGUgMjAgMCBSCi9G bGFncyA0Cj4+CmVuZG9iagoyMCAwIG9iago8PAovRmlsdGVyWy9GbGF0ZURlY29k ZV0KL0xlbmd0aDEgNzEyCi9MZW5ndGgyIDc4NzcKL0xlbmd0aDMgNTMzCi9MZW5n dGggODQyOAo+PgpzdHJlYW0KeNrtlFVUXNG2pnEpIFhwCIUU7u4Ed3e3KtwpPLgF De4e3N0tuCVACC7BCwkanAA355y+t0ef2y89+q1H7/2y5z///a9vz73GAlGpa7FK gF0sIbIuzlBWTjZOIaCUiqYgkJONAwACSblDLKB2Ls7SFlCIEJBTUJATKOFpA+Ti AHLyCXELCvEKAgAgoJSLq6+7nY0tFMggxfgPFz9Qwgnibmdl4QxUsYDaQpz+hlhZ OAK1XKzsIFBfNiBQwtERqPmPVzyAmhAPiLsXBMwGAHByAsF2VlCgJcTGzhnA/g8k BWdrFyD/v2Swp+t/trwg7h5/uYAMfzkZgX8pwS7Ojr5AMMQawK7q8nc1yF+W/2Os /w3Vv4fLejo6qlo4/SP+75j+W9fCyc7R93/0XZxcPaEQd6CKCxji7vzvVj3Iv9BU IGA7T6d/7ypALRztrCScbRwhQI5/SXYesnY+ELC6HdTKFmht4egB+acOcQb/O8Tf sf0TgV1SXkVPVov5nz/0Xz11CztnqLav63+l/sP8z5rzf9Z/h+Nu5wM04mDj4OD8 a/x7/+eTyb+tJeNs5QK2c7YBakEtnMEW7uD/Ev47k6Ski48/K7cgkJWL9+8G4uDm A/LzcgT8r0YdZzs3T4iCNJCXg4ODX5Drn6qVp7s7xBn6z03w93v/s7a2+zsdCMQH YgXIySWwgzdjoWC+Mb8eWKDW6/q6qA7oLT3N5L0tJJwZv8BwRGZbso+KcFC/XsZ6 PFGPy7hnoBT/2BioIpw4cGs65OtLWrNOyGQ91WO0cyNUGw9jncNvNURg7z+DxHWa GTUzF/L6myJjb1yBC6GufZcjVCRtTwtjgX0r4BpD5r6J5ea9mP1uOCGrBRlvpWTm PLPbBhTnb1JgQ3xi3wYu/ACnUO6IF53f71l1guZb5G2NNoAnyAuwQTwLrl0hg3Ii FPT16yhSEwSR/JsAbsuVq6WS9912/RBuMI4Z4fXsBW/oQ82pKPK0l3wO4e5jjLR5 6jycQIPz9Gmx3dVx51x21tiD4IP2J6CjoYwfCT0Gc+iwMDrFHx0P2YQqMT9Frnsk hqRlUyVi7KkpjqTvwW+0xwPCv+XW2tq1VnX3yV1j2vpmpnxn9tJM2z7I565Cig1c iS0J/jaZ9Pvk/jziJVvQKzGdrtNwJBVL66GBmmBZUTrMv9h0zvgblroaBbc6xEBN eJxWG/m9Z9L0FO7MD7BJGVY6JkbKZVTDjD+OjtRAO3Z0vQmdkiOCs9CBbM2lTBoC wi8PBirc3QP4GeavOyy7p7drNBrgEElsOh32azlWaCbulbctAZL67OzJ7lhBVn5W 68AVW1033op3aGNvUlPRLZOXBEi+VmtgQ4JCEW3gwm1wkNhqpbbdUJYqWGwqfLCb xsgSAxId3rS8NWwVyIDb8wkLyTGat34MXmK7aWVQeA1EwaHE7fN4nxw7mx5Zhfj+ CbNxXX4i/TxJC/vCx9qlltqPN/oGw1zThopVCHLyBT474Vc2qmAhgq8cKfy2ujER JA4HEbuO6wr6PD7urYSljTIUXjTnarveMKhnrMu+bkjlZZ5Tm80CMpW0lwKV/OHQ Gmtm573rnqhSxzfjoOY2f2Tvh09Obfyea8pUEv0Sib1d4WtaeYUekzwu06NOjeRW 7UZWth2nuIN7CSBiMefExHnJezgmf5ksfdn6g4ci/kn+yk7nJrgg4SKv35Ng7IyP HCbPoE+kOUuY2ysUgZoSpZs6ohFqrxX0ycORARMdx16yNJWIN7mGejnMX4fQ9cjF p/1tpKQPzw3nkMwVd/UegdCMFurX0d6nG72PPRehtnjHotSAbdb3wm4RQ+tfvuNe vsB68MoakPdO4l/zS35/3M2zn7CdRGt77uWiGsCh+qGTLegkqfy2izANvk+iIEjJ 2gp5rMPNpPQEJJNG3cCw5zKlZMG8lV3ELTb/tnaofPU7k1hqe8MtwoPZTXNLVldn TXatK9Uxm9aTbjfG1ZwQjX4+U2c6ZThfYdAA6zc+hUUbSgIfEnOVbtWa+lTbh1WE y0NqA13d371Ekn3De6zhZfAgN6RCvUGhU/X8BSJpvQMfZNMmUkZKb3jdDW980c6M xoZPT11cot6EdVdAzEcZQnRtUZcAD8CyXPFaDIPtRMXySIbO7xPNTxWQIMN0yzHu kw2As7YYlZyQaYdpau4XSMSvqBc+BY09htIb7fE/Nc85hp/brhc45OcypuM7jv4E RtdZX1+FSaAmoY9vWW2wX2d/hqql6j2b11YX4CVpUVm247IsorTJc++7tGE5JSIp HRj3Tti2cZa33yq34Mao8c1QZCzsE0sPd9OL0oPhv65efK5TmvmtrIlQ7zC7UwfW +h1WWiYWv874HUpUesxwA1Z1Qi9cUX8gj5fpQN1q0sAfXof3SNgUB5rX6Sa7FQVn 8qNv8Z3UM/lyamGdiOnjNCAwtWQEfC+PbmV+V8dGNMjh6BKFrMeTIdttTsNqFime G4dGk7yOInOmVSwyYauNe2V8Yd9YJqi9Og6POPtUHrI1VyrmqhPldFu/31vZ7ILJ 2tOd8VzF3yAkfdOZVUmTRFFQ+acuVsyL+FZtP0BAr0hCw6mmsGYtjKRGsKtIt81a dj2gvljUPq12w1Z/BtN/xEulhb3Z0IknW+qmcTtpQKlUeqvo+57JDk2LNeGiNyCq k+paJ7GHT7MsXYJ1cxhwz/P4FDWFzNe5TRvHNCGQIKjdaRloipKfkaTCf+ecE8zD nSyb80yucrYfc6sYuA0qSmJ3J/v5aTaFCG0vG3DFGYiMu063XQD7xFbZMSO9hyxA 8+7mQAUls8t7dyT2KRkSrwgu1ZJW+UaYu6tUWxusnb9L/ibKd9JlfFKZSMGlNYZ5 qEwVbFupQll5hlppLZ3yjlpXMhov9sqrZIW2LZdsWbNfw0O375NRMFS3sJ6sdzzr NUBEwb3iMJpSyxhe4bNLU5FTcjo+i2to2UmEWwFd+5VpkSneyvZWVY3k74YvYgHD ZfX09iIORiDLWQvVT6ruaO1ImfLriTKzF2Vc593HJhzz+s2kGVs1iprAkNc/zTuy lHXB/JEjAwDmkiHwwa3P3N2XPXZkDjTUWBUzzAdK16gIY/I8Arnc0Erd9M2rS3w0 UQmJCHsNPgIGXu4a62ITC/+g6k8xYogiqrE71cO3RTchlNdiK6H6BIXEpNsz2bqo AL4Nz4cKN8HnLO57YV0Uh0IGPIvzMvddvvHOzcgvz0Iciyjz9opvolp9n/kn5SM0 Wmi/EBfNzPCPB2dixHR3SRrFmQT9tHh70mA2kMEjF/2FhFGmi+s9voKA93FE/JLH q3r4xNcmbjz/2XnE1/fM3QHT8gnclp+RD/nW/dnpb0kLItThvlj/enVQ/DhEVp/3 QU/o8vJLSnk23/VpvfTLB9OvAtojc3vHNZMfI9Zq0qZzxtKQnPz5xYM2hGwd74/b +H0aCVnYPIUu64zeKVRwnedIFv1uCJk/L6o+w447HX6A+kVmeeqONUDQe5o8Dshc Gn4U4L7cXb4p/LGHcFRiDEydRZkjjC+9MglBeZ9A4R3kwDg5nme6GR/E+L1PVb2I xIQy9EhFVCeZnThJd8PUPYwPjUoE+d2ouS8I52iLXrdYxtwKbUH+ZY7+DF3CdVMj BjXZipHGkgPTFvKWrjcg+QZvL793QT3XCDBm55yLqFfT/KT5XqTvZhhn8ZmrGESY wNhX/lCKDnAM869EyxlNJeXUbdR+OmdFBEGRieTP+MauCWDUHa/7aVroAjiE1oTF 3CPeCBC6kIOiGKPb3ODEzs++psNJrNU5dBZ4hDFcZPZjY7MKx3oXNgcpVRF3H+ot N6wvRgzwh9HBDgRf2IwGlfB2kj7WLqLMflsHUfIoDeFbfbyJzNG3Rl1xFqLDnBud SgIh8eJ3lwvviMhE+sWiw8TZDnyIyBFxYwksVKnlDbWVKR0HFXKEBRjIMu5RYzMo ckXZRcKPWrN1ZBoup/ZJAIrqSa8rgecqMVfOShF+sFI5aqdfPjzkATHRcr1mGV9d evPUKyKesGWdkAbIDPogoRvFxD47uIXCKCNOA6zCVXD7iYpz2oBiRSuJqFl/KpKs DPFp9++lsxSzKDaYEvaQD6oawW+ampVXLEpUtgjY5w/viHtCXw5UsbjKgjuCXtwY R4af8SVCzNFtrkw9nBes8a45qhZ74ZQ+yDptaDDtn4UFCC8dUkjXUxZw5DsbOOx0 CTv7blDIYkUWlw8NBy2c5HOALuQIbEGy1Lk169pD15pPCRYW/azNPma67c+1Exmy CwekwxxNpIdxnnaaEmzqo3LURIj1rpjeitt25oYkD3spEBsSu/xofLQfKTOvnm6H UIBiogxll3aAYquwojHlwS41bSRPlajSB8riRERpJSJ9BtBoYnKlVFuCq4GuCSQi 8EsV06ojXidj087miocIYW65qTbSqcM1qibtbaNFI0flfbwYtGIVaJOJU+K5lfsY utcMn4AixJhidvfHJIa8dksKcVlkVd+Jv6O2Wr2UoTDprM9vsSDT8ZFuE6JPv8vw w7/z/DlagJmuO9tlaBYkOu+cOzO5IfWGOl8qvepmiIG3zszeidBgI7Y1SCsNIaRg DfP6BCMnT5mL45XWOfexo0JJCUesfNX6yGBrInU9pR6plKbFCz/TS5Nc/cbczGUi 5VoaR4pnaAy3fdLTNfWGL6N3uTim+6RemmjTBnV6FjoYRMPOKJ/rL85UondOXKd3 w96K1WB5q4Ih+u7rDZr0hEhaZO52k6W7ovQBkpaj1hzfyhTKZAVnbXoVMi+OJsgP O1V96M+bW6Gc1UvqMeGautE8J6pCbGF3E3PZGzjm3i6lqxPHurqOFP3qesIj7NDz YjJFjlc8gUOv/JVp4vkQRtMeiPnedHnXKIbAzX4XmSWDdsxTbL5po/eOKbozvNC0 GyVP10r/vbrhL1cJ1NPsbDqmYqSeSpfKr7ie9Gnla/iBwQHwzcurMqy1holMnGmc xuzZAZLDZ8L2xneNQ3c9JUJKu/M3S0iZW++cT8CcH5+3BCuDE0W/FUlC6Bbetkpv MibNNWscmOWwAL2mdp6AaneZQq8ipIswBLgfoQarDidl0SdDz+qpvaqBKqOhxF3g hCOhJlUrWYCOFtE9E9btofj+nzuFaJ6Syk7cwyl/pAEj8filqEtU1bPR9q9wUAkc r25E7cq4/Sg57juejKSUdmLCjeGLa1Cu7hx3f6yf5Z4KE7p0SK5rnBZBivLy8ZJj vib9KvytbrxyhELfS/pQJbkTRuzMyPUWmY2qAq/bzyoWyC4oxeLlaT4hayhcmG6I AlNdWKWWLBNZ7lE7sDZs0q2mkfTVhvnAdHpUFdt81MR3yJYYcp+WZENcLp28hdCe THSJifMuw2bkgQDpS158pwgGzLiIMuH6cggVxOSDzV3zmIQEnOnilID1Bvi/aWZ1 dyKCcSTH1n/sSYtaTuZ16C7KPB9v2mWX7R8K82ck0FPRPN1C4a141pYhM7n8BM3n BylsYhLjAidZN4Oe+bGnFjRL3H22lL+Q506wOMiLPAH4dFuPiqGzk8Qma0mOWQgV v5+WMwPWKiAn8AKWR/luSQzLoUXeJ/NS/pM/IliYVzD0XKcCcBSMo0kOMtvPjtvZ sIvqjz//1DY0Q1TaW/k1RTuMz+e5JMNfPIy2zTL07UagZ+eGJcxXTaUXhWYIQoMd mt76KEHz9vDTUPgs+pdfA76YgTtI5vubceZ4fR/OoeIfI9ePbUzGznklNGLjy04m yONaFyKkYWUOCeCyyNr3ExrhmwtIUe7P1GZU8BU5zlM2yilMIm7bbRxqDXiSFD/Z sFnn7/8g2on9aa6+0aomoaig/em9ZIoT0Iin05WhuacMuGwBr2CbnDg3a8QxtLIk euWa6h6ueQ+vh3MJNJI1pyKHt/84N3RDUmB03RwuRNuQB5XmkTceBdN360pUfEBX gcX33XPy08g53TD8CYZfh92hCf9aT/WIS5P5ujEj+sxBppkXM4+kvkXG3I9NFHsw VVSXmI8SwCtc8jLX9yagLVA+uECRIyM6AdzwW1Ir6mgczJE+J9Oq4JYXoXUiaZge yOteI/02eyJ1gc9cSkaFe2P/RIKuVLCiSuEEmbR3EcEBHmlDJVD3o7iG/d7h/rr5 FB5TurWcS0OrCxzIokKBnv0bn0oy8bbGhP+v7wSrdWtZdRFEdGbJDaZwzK8zpNRZ TD0I1cxDSrXTI/6kmgmQ70WDKXaUaiDNFrTO8/7d1LNdZ75iVm5BMrbUG+1NR1Y/ 2k/3qSyHDPkN5Fj877W718ZPdDVh+2AOh2KF3PmjUso6YO9I6aOGnfdufFl9eUvW OFsT/Khd8w39RasR1+gUyy9qOJ1FWZYActtIGcIeQrH0Bke1IAO+zilM6fuBlOAD uYJI7IylmKv6nr1c/S6yB/uyqHq0UmYmY1+xFJvfwm+NQ40nfzpqyrkfzkpVVjr7 hFUHfjMbT8aTncBztKV+huUew1RNGtAGtX0liOPRlCEhrx/wF3G6kiVnzr+xnSnp ztQqbG6Z89BLJWjBXtTwQhhzy6aEEX+2jT6gnFfhftUTp9HyCibYHfan3dSs9zHv ITe//YWDDcJWkfrZVjz2wMr0I97/QVq2eJYEbrYy18nghiI1fNAj9pCA9yjNpjue mP2NlEbDY8t4kVQRz4t1sNxDHAapdCIwB0fVnRL0CsEiIKNV04brC7AsGYge8Vo3 4aGZMf5BNZCndbgnbs8YmT0RIk4Xy7jTLr+KujKBZT77HD+eM3rS1xEsY+JW5BWX n+B2zY7noeb/tP7iVZLMQjWCLp8gEJRGkF2SbFOvgFa3RRG1P+2YbrK4Nl5Tlyrx p1dLeavAFaGLgFavWZ3jyLHWhiJ2Nb3PcCSfBxdd5FmOXcnTs9Cb+kXyoYvlRobc CAPZI53qG0rbwamoaAxCR8gB+dLyBfXnZKbmy7jSwpVYasKPTurxvfdi6t6MlSJj +1Q7YIazPSph4b2P7OFmlakrn4iOfRpV+1UA+UGkTpmBapK3oNfbSCAPfRZM52wA 7RQNNtk4n/xCqirMpXOJlmIDRvE0QzvOOJ8fe2e86882e84wU35MIXFf0FgM4RAY UfIbWZ+EKYUSl/u3ACK5DVCxuJz3Bbq+IKrBtJ/PpkdpUQxrsls7ECHpSPmc6ZlX 7BULWiy2qd6djm1XiKUvIMmTFwP3YfodAT8Gb26aihzl4OnJd+Pje4AltHyzFunS pS9Dq1gPhtGLywcbinuBGmLJ+AqEjvgso4bbU0iVu8WrpQ/dB763lbU43NeFZcS/ ix3j3r4spQstijqVHaNM17EqGlVPy8bm21PtSp1o9FymhCQRTp48JtBvH/He4c+M VtcTHDDVvhIxsNXCL4JCGZNc7pOAwmBHI+DPeXmJLDs/XFVU7xO3+WG1kppWrmLh HSWsH83bClhCUByStswDcTOw8rAqEbqgpU2KWtzwhlUgxYQz1eDHtwaGCD9vtLM/ tLSc/dpVCREuniRGO3jDqYhJzOYvjYn+p2ZM16cea5QT3sGF+7lh7evpFm/XEHvx kqncW+sBICOE3bNFjx8Rd8S0Ve/avjiC7xRHEESCtPqjJEh52IMvrj1CHXbey1IN rE52Q47OS15+Qr+dEMOSjehNtB7vr3qCDYiJg+hkJ5ZKlJAsKX2zJwtgOvX49vDb yQ2fW92FZJ9sQ8UETMo9wKVnEiOq3rd4VfafTirkumsde3EnQwQ+C5xexkSb+pBK +X3tEWstIr1VE6BjfNwBfOGlxBg4v/y4wh9Ze8t1N0Cu+RiEhr+sCDtm3ljusDOG ZYCPexFrj2I21fgQHHaeUt0mqFDw8n8qwLfq1dbKo2lu5Q0AUl6LSlN2V4d84dbf eKIvs6KkuSIR/YHishgEl0blpf9x2rmYF7hsuF1bR/E9iaT5CZoufjAeATZz6ofR 1I/Ht3j3m1hw3LPjBYyye6P2WCwzmWyc+mZwbTnroL7d9Hmi6qPQVRWQkMxguc7q D1LZgIbAVLvtLAdqzRb7kvGPm5vOVKbJSDRyITGcrewlvZXxcj1z1xZsVDY8lOTw XEdU0U9FdyHvJI9Wag/Ou3IYJXKo3CYDj7iWM9t1qx/0lMm8VHGI4jZJfi3wuI9Z xG4CdOX5qgt2v34vOhRUhnBAMqfXV7061oRGehT8l9SWlPb9Q1Ry83e3Y1JoAs0b QmWivpmJrYLUCM58tRjenL6QoZ+Fp7XaKZtYahxZNo97cKPOrSua9BocF/vLTBdW x6P4Zd36CHn/yjA91FJef28tuxSGdfrCx84Qop2ZwGa6mLF46zIQtTRePTq7l4nm EMr/42S8rwSfonJhsuFjPJKdTXMEBY32FyRdA+q1Wgp+wdC4KVay999DpmL9fEK3 iFHQiRzZddr0q1y9S28lMVrOf5Al7mZiUgWHsqqedejGd8qMT7LVuCf3rLig2qZR Ld9+bVXEMC3GwmP13hrKG9024arJ8Kbr3+nf7yCHHDUTxNFnz/ZcBSrhconUKbrM 6ayqwe/L3+mYsCq+y/joLhckfIw2OHplW84uVJJ7lN69KswQcXZA2pyDk/zLMs41 rtyvHB2HrQJVxb6jUpYhnq114HrKbWvu9bUBxy0FinoN/k3aNAFOfXUrcWNn17qd HM4olz/I862/mrwHiGG/7f9j0JH7nghIzBasudbzPbR8B8r846i8VV5JdTdHkfVz /oWuDfXVzNIfURyA1M6sReXOgxlTLh4yGS2z+9DgaKZxYXp7JGm1T1fd5U3Nsmka aXIhn4Cx13EXrapPuxSTuvR2rkJyy9kY3BND9BGCI81oQ+wZSGEQfUbQAo2at7g0 75vaRMR0/28plCrSwl7Cny0sfk0piMCt7TB3g/dUcESmtQKq9I5VFZzJ9gvbvLpl YSFfVQIuLGYRbtrFpzOyaStrmgSL+jg04xliQ19JQJ5UPwdCc2cNtxucLKMxMg1d 9bzMq0fURwI8pa2mGPm1krpFAk6EKI0Uiphue2cQqrNIiGB5jWOpKTPf8m+Ncoy+ xYyrWw4rhLIIEwzFS5YEzeIEGJzpJSr9mpnfXIjldS5w0zmSFleYW32pQ+Su3LVG avXYt4F+eXMaalB4n2NKKv/1+m4WVnMQ91p+9NYaonufp2ACXp7dlNUa5gSP5GDT eXYvgtErTQ8+LZt/ZuiNtogLVYi9LYfZubBeSLrDe0U762Lkxd58zvUXGQAIH5SW +0ZsieZoVRsfzA4ZH8uVMbDgvPvAleDuylDz5u3P2N/YMHkrUs98LNd6rUibO+7Q QqO1AvIwuRoF0zfurnCVythrv675+Hfv5Di0p1mPN9UjQvt3ja0y4hnTIqso0QBZ tnxuOl7TcBW2vNtEpdVpKFMWr47GeaYuP1AEjevSUIK19eQRICEsTR/IuFGb4cLn GQzZnhbWsWD6w9YDmkyM+mWz0DNVbm72JOF3zjUpbU7hre5imLbWAEj0bjejtZww dAuBdyOrgJNU/kMXFUwEzZCvSRy/amwxC4HwjWB/OMHI2WREvzyVgTvJ3ppmcWIb WLGsXlfFtMpWKXysMbnsYrejxDchDU3yyPiBgLTE0RNdv7Bu4py7JWfB5MNUYiLc PFUulcQwVIBmX5elPsuvM6k/4l0xV6xvxxK2n/85k2KXwFV2QfTyCYLvrtG50t8T gPyM/JtmAZ2OQApIcXBxhGqVBxYIHYtn449EPMaUHzYTvX+gM0Oj1qtNWqBvkKUv 1bWOXCGvrmRD48Wrb+sIKdhtx5DdEwAtKDtH43xLaVFs9ZT6WonE1w1HRUnnKFBY yKLLEtaf0l63IV0xAGshnP+MXMtXnQGT9Bzphcq07krOmx2ZpLGb4nkvLwLa6Nu3 waLkKDrGc/NEMb8M9yOG4u/L63I3PjK1sni2iiYdPD7i9Y8wV6dgnHs3TzwQF2qc 9+IBTN8vkfJ/LSgMG3/YxnouxRbnOuBxgVRDMQLtd9n5ertR8wvZiwMtSPPKAIeB Sx9LdeY6CvmrQsaOJfmNNpacPqhTlhyix8S0qpXfXXzhV9OHMX5AbA0TKd3pgW69 N4Z1ibIk2WbgwKjrHNZW53O9FlaQ5DB+ZYJO1U+G7p+g4aafFqkP7MSYasihdX1S hiu0LVEjWi1VSecYXXjPVGZPU4FX/dSMeZVJXd9TsDMin3qs9HlO9kIwciY4DTCd RfdNk2FeloZv+ir+HlEtFXCeIFAHtTAHN8smBF7QVoxOVh1Yr/e9br3Y3rVxVj5+ NDBPDyriKxYuh4xeGDrp6tZzhYiykijfqnFH2TOUrHr3baH5MW0pGFajm+UMKlzQ M4aS/P5FrniJh3ig38tuSVRHNYTkhZjbs3ZqhspqX87U8YeW3Fb8xc3LU9sEyKdF TbjZZozzcHHVs0URENc/m0xXHjZp8VwkJe2RunWZDwMQVFKE1cvYemgToqM/pD11 GmS+0aqPVveQuf+9evW4uU3P00N+XoLNU96pUD/kKq4DXSraXHRPpOD9cewNh9VP kx+yNN9lb+AueNy56/WZnQZhvyrCYcgIRaElgS98poH62XeXxlaYs/KPk3V3NTFk hnPwTXxnl2K85nyal8id+QoRIiiCkvYd/5178cF8G8zAl3YLZINfWP8LJqRvlkGa 3oFHMhhX2910vyFI9Zbk/NEHAZ3O2EaGLmaA7PERrrLsverhMrkmVn3HkeGpA/GT cy8TXZXqOg89RDuHEC2E2o9GPNpNxoqI6HteKz0A3+O+b01RG+SN5KVMfc35/VjB OMS/DDwQKT2mKmk2p0Ey9eTG4aiHQK+U+9Ohb3DDfdgWze9r4I1ju9kCa3cK3Nvn CkhTpzgteUCDh2RqbWgO7VjsD6u2pnIEbgS/tKim5Lce3AZ3LjzfHHJMCG4XBmtT RX6332q1XxGOzumjsL2EJ3fS5WzPbOw1Lr+WKGEsD5lShu7bO4oocnsJhb3lO/r4 lGkwDWuYTTJ6Ul/sTj/puZ0VFnmw1FGcLfWNTR6LnxC3wNrGTwaYM3k0I17tSl/L UwWgqx2mIaWlL1okkNk273TtHtMMnFhxH8mGlO4hf2ek6Ux6nClN3D/B7pm7At8S cFlXc/bRjOFNQGqKcIpxgY9mV8vPSmqexiDGyd6WPxeo8qFZQlIUdT1f6tRGllWq a+yD1Ux7vp7+XkTWEfbgqvmomENFF8ToenTioNf06G5UJSq9CFyAQ8fx8mLuzMf/ 4D84lw//XuO+iYhl6Le+C8f/5QX4/wH/TwRYOUIs3KEuThbuDgDAfwD3LJ3yCmVu ZHN0cmVhbQplbmRvYmoKMjQgMCBvYmoKPDwKL1R5cGUvRm9udERlc2NyaXB0b3IK L0NhcEhlaWdodCA4NTAKL0FzY2VudCA4NTAKL0Rlc2NlbnQgLTIwMAovRm9udEJC b3hbLTUzIC0yNTEgMTEzOSA3NTBdCi9Gb250TmFtZS9aT1NGUkYrQ01CWDEyCi9J dGFsaWNBbmdsZSAwCi9TdGVtViAxMDkKL0ZvbnRGaWxlIDIzIDAgUgovRmxhZ3Mg NAo+PgplbmRvYmoKMjMgMCBvYmoKPDwKL0ZpbHRlclsvRmxhdGVEZWNvZGVdCi9M ZW5ndGgxIDcxNgovTGVuZ3RoMiA2MjExCi9MZW5ndGgzIDUzMwovTGVuZ3RoIDY3 NjEKPj4Kc3RyZWFtCnja7ZVVVByNtq3xBAjBrbHGXRsnaAPBg0MgaNNA4+7u7u4h QBMkuLt7J7i7BQmWIAkETv5/n33OOHuflzvu2x236qXWXLPm+mpVjVGMtOpanNIW juZQeUcHN05eLl5RIFhVRp+XD8jLxYPFyAh2gZq5wRwdZM3coKJAXhERXqC0uxWQ jwfIKygK4hcV4MfCYgSCHZ28XWBW1m5AFjDrXy4hoLQ91AUGMXMAqpq5WUPt/4RA zOyAWo4QGNTNmwsIlLazA2r+dYsrUBPqCnXxgFpwYWHx8gItYBA3oDnUCuaAxf0X lKKDpSNQ6B+yhbvTP1seUBfXP1xAlj+crMA/lBaODnbeQAuoJRa3muOfadA/LP/H WP8L1b+Gy7vb2amZ2f8V//ei/q1vZg+z8/5Ph6O9k7sb1AWo6mgBdXH4V6se9B9w Mo52/zZG0c3MDgaRdrCygwJ5/iHBXOVhXlALdZgbxBpoaWbnCv1bhzpY/CvCn7X9 DcBt8EZLXlOe/T9f6T+66mYwBzdtb6f/yv3L/nfN+9/1n/W4wLyAhjxcPDy8f4x/ zn9eGf3LNDkHiKMFzMEKqOVm5mBh5mLxX8K/U8nIOHr5cgqAgJx8ArxAXl6QCFBI gMf/fxp1HGDO7lBFWaAADw+PkKDI3yrE3cUF6uD292fw54n/WVvC/uwHCvWCQrBy 84hhyCYcVOzXpj965+n02qcW1LG6Sr9lCdwUkXwevcC2Q+datIkMt1X/sYTz60Q9 LvOOhUYyqi5AVSyp98Z4wNsbULVGwmY50Wm4cy1aHX/IOU3YZIDC3XMGjWszMWxg LxLwNUbHXb+yKHJz6r4coiVvvp8fCehetqgyYO8eW2rYi9nvQBKFzMt5Kqew55vc 1GI4IMAWBoRk3rV8hP72IaDwR53vUpw6gbONCraHSfjT1z2f3tG8dji4MK6bGT9h ytavS9PEz2wgeEDMRQS+SuxCxV4kXnpaoZqSUyZV8wFkNhUeOh14omjk5+fSLwB6 wxjmdRjY4oriFD99R0ozym7LhucdKqB9sv19QP9DHuQsyw2lL71BkI+KwJ/3MhJy 0Q1njE5W7+kG7ZM7R3/5mRCIY5JuLCDi1JDyWQvLelK3FtVoswdox+PWffJMZK2z 2KXsgPXe55jDEN6+/8JXpTR90wv4QoA181Ri32KTrrBD2/X662TdJLLWEXwnu/y4 OBc23UxXd/H5QZ+VQME949kyvvoEhgYBptNaoZvYybnszaeUX4ghD/3svNgLGlMz YlM0EfNemDFFqz/mS9yVSmg+VA8YY4l99Ok8Zt/EubXTQ0TVm9Vqj2IJRcwhME48 O3J+X0Wrh72DL9wwzcK1UQHU5RUpfrc3cmD99MRY0RFfQpToppyPzrAwERLM4Muj OWlk+f2y867URrJR/ljfd6mbh9FDE7ElYB7zbXOJRcxghiKWKKiaYSkrE2v0/a6E 9qu93cHEggPaIYREzBHPXRIyBeS55ViUqan18hF9xsk1RcMqUA79QRxzzgkwgvpe NaXjkbnLDb8BUp4AKj8qRzEYoKE9FB9iB4klx2MTOA0puJYk0XGiASy3yJkIuu05 otJjEp36UJOIHPYxqS6AlZlWxgkwZDqHb+oERoL9tN2JQAs3GVllwgs+k+jcxPfG RET4uXI/gbfiA4qO9lvrsmTvyai9KRRLWSxH8oXc0rqfAilkpfE7Sx7Y7128f7EK /8rd2fDgBs45Bb9S20IFOwdz3RdGIsuxtBTl7l3Q0IRtpHDaWS7ePGWUpIDqRezz yFsNCbmvodGis++pVqP2YA9Up/PUhpLVv6kl1JMVRDb252eaJUO/wtOFQec7imw8 vG/4drpy3BPZusrxPMjO7iIuRdDPEKy7RUyBpRhwF+fRNPXmCTBwa8L33Qsn5g+z 9jjjrQG+qD9WePyUE8ToWSIqdOdbhzJnQ9nl+3X0mYjQNmMKiGsCHMPHfw3oZDzI JMnv3rGSbQ7Y67SND78L6Bl01nv/tle69J5vU82MpcQR0gKCyH7tX25+R3IoA++7 sF94eJxYTLghqVzlfW+8u79gWuRxw0eoqNA+/dwE2VbsMbha3otCdA7WgL3tAAvV 7gbzy5qCOKr1m07fx41M6PZ9fIvtfqOTpoavNzq87/JMzHFlIfFTrO23BhSEouXY 6e0kkdjYimW0U8fG8zXqgYXjUfF7TjytBxt5FdomPaIgFRz38w3C76j+zFVN9zy6 BMwun+A8eBapBtSvoHtH0fwi7X4LSc/UBGi8DZB18xTFgrOecHfwk3ll+iTrD9jU GDyjGEC7jJF3FgP4LuDWLv7X+Mf+Mk1bJU19mE+a8LESE0v0CI7hTw89uZXcGV7O HZeim9ynUSekLHpjWdSHHhr6OKOxfVvp79c1Gm+odpYdiIaJhbZUMXs4T73OU31f uo3ivm8gjoNhsdxiKin35dSsO0RjvIgvJJowU5SoSftIJRMzbcs3oEKY405K99A2 5LmeurGTIvldDCuevGm9ZZV429aLzEDfPA4C75u3jPR6l5EYutrS8KxyR8RZHcRo 30z5wcZaubSeFMascRrptD53bk1Wmeh8waEGfyuOpyVlVXyrfGMkxtGfO7Y2S0x9 ui7Y7++fhog/8xCxX2etZT+jhKQeh0+lMfPhOtI4pGSblUGlrvdCpjyFg0J6Dlm0 BV6Eyzq/cFwy0uDQ3QvOkaQI+m2DxmI+hDqRUmT/bOw83cyrKOBbXwumQQhohUig sZzAjNvND/zaXVWBz76g4cH2NtY9dWG0JI1U/iciXmRXcdE2EGEObbRhCtW4J+F9 N7KBXWgi/PRDyvJw3CIx8BW7/+ADn/wO5dJ9SeSrc6+tForE/tbFESVODwvMWqRr Fgyz6LVqQdK6upfTzeMCmfQmz7zmirkAwR/c+hMJb3btvx4mlmLwYFHNr0GAiNfU xV1HKGYtmT+dDNwUzfWNfn/LKy/wYWxnwr4qR5DwwEw+CsZZ+6n3bP2qkHkv6MxP UF0Wc5ik1XHlvxYtqeZ1ElFMsevUpo6Ov2mnOypL05tfifPT5yBtnE/RKTzKbyh8 E8fVlIZ0sv8BnCqIqP/IsMaPzFbRCfKfPg8aFTpj1Ko5MzWKQNFYYeTgebB/Ze0t 9MpGcn6Fp3/U5qID2LP/iFJ9xkRF70Axzd7V6rBNNeLcgf879dNgNJyzMZFV5jeJ mLHf87dO7pi9mYiTQA6s46MOCP8sMxngZs5WKH6nu1PTQi2vcFCc82ro26uNI1if vGmeFCpWcg+POKARBS78UQoRM3ETsPCRLivdfivMyhWy2Edow4ubZaLVb3XJ2+a7 nEyyPfxpyaWSZU9h1FyJCyz3tGkm53tPFiswenchnlVwVZ8p6HCgHT2rKoPNyG9G le0R7h6unbUWyEP5w0eRCg3KOP9BlYv4FFjRXKr6lrityxSAjSjqRxEis+s5NkHL FFRpkNxlCgALprOkTBD2XDcLGqn4vrCmaEh1fZlMWcC0y2BSll2qajecFdM0lYlW n0FNywnOZALrKFxbKmzLsL9VttImruZcYPEXcbd9OG4TE+rPHiqqneQl1JBi8S6x S1LC+2EepVgvMbLZGvTyxSqlIVl6YKOaVePL7sKw5K6zqH6hDz5ukaVpreBH7YS2 OlajoEOp51ETQRseBDe7bXmhDF37JyifqdblZGi1fhqrcCQ53XUbt0sUhJYW4Q59 1KEiJ5O2UNmugXmmpRxs6oKQeDsXwCk1eV4JZhbsM/xrjj/qB8MEWlHvMRHIKnfi bJhVaGQ8l98v37lS+MOmv+0DsZwf3t/04sL5I2aqH9/FmKeSRelJdEdURAwEtQr0 DD06e2yBhOfkokRB7rwhlnf3Ms5KQtdYht+6hzQFh73elA7osLbBZVA1eY9twBRn xWEdb+RYW2Kd2JO2VgAYufBGlAPvFiWcmtfWpzTq2eUHCe+GIK+5iZYMQq2VsvL7 vJ9WdY8/fnk8hD4yNkuXBKP/1oNfj825ElX7i/+a4EToiNEb1/dBY1jnAqNDRTpM XeMTdpZQoshaQ7ZaJT8S4C83wmN9mGk+CK6CIcTb0BKFmRN2PxpQ1k9hjpN8cqLw 8e4xsa2sOD+kr/io+8PtKKkbXi+mPCMPxdhcAMqmySkyN9Ev3o4PCOBluue+38+g LNekmTkMNMBT3x+uFczWy+qhNCN8+5zg6iDH5jCe0mPrxcnz42zLWRgt5Y0Ttmvl eP43uk+ktE0094ZZTzhFkwHmTU4wbEtRyazdwTFRD+6nlzIxQv4RtYmNzbX2x1Su LepjGHH8tzEd5xuoSKNAQaLhyybGkAfNW/kSZBLweNqbeaAwJVuj88xs4/5goSRp 1I0jAJGnZg5DwETiCixw1BjJvquKskmqFT3XGMUbW/ZHi7OyAelX5dXsskf4Ooyj PANwa8Oeyhf0C3S9a3FbRoxy+5Tc5ZZdi+txc0SIuoctPxcOf6SJiplbDcRjZWUb YDHBHBBFJXuJwIC0LLbsmE+aDCvH+O+/ocfPJjCs9Tko6nRSyeFnXqn2lO7EHPVW lafZkMufbItmrd8WpFGqZmDguBCtbhW/0chNCEtvTP0e5DxOy7ilt97B5JrjN5KY KP6hyyr+8LVbGlw3cu8ddjYgSriaub4SCYngCSAqUBO16AIgt20UFbeuI8Aj1CTq gohGYsDeTnxnRAOfbx6YGNDQN1+R48twG+haFenRoVURobIS1IhxcT1/vSWAo7d1 hwXolpBg7PP7dMSISZiyS2YfidzXg0mEfMrNO/P7nWhAzh2hjU6JbMFvIlRmNRO8 1rLY5pyGucn6NBL+EAXsorJg3AsrXTm71uw0isjA1YGK5MNBlool94KngL0ukOce 2o1WhCOTjoQlEYCX+iVopwd3wnHpZYBvtR7ux9ZzsLmEbuW6AWCjTarry0jqtShj X1cmSjGnTElts4cx6wVNV/t1CBOv6iybBsVVXdrEI9xcHePUxwtI8qjLcjA/F4CU KNc3UWpf7Y2m9eKyjJ/SHZVZ7JnZuEABAsJkI9lvAm4fKb8SnJITrzPWjBBad9SZ r92PqfBR7Mdv+R6IOxhtcsu1SGrb0L4v5rl7aURJnY1Py9i4vGojQqAvNSMEYiBs sLODBOCGO5paJ2LvkgSnhFrIbP8OKLgxquyycEqfkmS3bjL2kdATxxf9cbvGP1D4 iIqaKIBSXsFeCdrgmeH83dLvCMrBHefRFbzCDYF9Ph6knHQkSdtPOJkxdB2hOvzt d0+lzKivTjt9spDFuqFQ2aNXHtJZ12oqeGPWexRkENKo11gstm2kaP92laILbZDT XOOX1bCsaNO3zj4t6hNUPtDv930UG40tWDDp51NbOhhhSE2Y6L0nXNCJ/Cuzmk4V VT+6sISNnjtph5OrH/lraxUhhGVCKvgpVF+wraqK+adEkiPu0zEN2Mw6ZTWTyFjw aDvwg++NAt+wDRUGH8EofPr7IC5XrwG96MVfbtvG28gvfL95P98YJkfjF4nCX2Yn 2dasjYAtLa3YGLRo39CgJy4gbp07lPA5dyDfhwtK1SxnMYbGJ+WRONwrb/UpWeP4 rthWNSHNY6fhwOwaFgkpeEkY6x4VT6DOkL+Si4tycjOXcfkxxxZkG2e+7PvywAcV 9KFmGNksRZB1tLVUG41sY5js0FQMGmo/DFo1kUieIa7Mw44pQaWXenpTKv8iROOq Ab1md8v215cN7TFMLF9AIN38hUsR3xzmLfohMuckoBGkDt6J+oQRk58Y7lIVudM+ W4ZKgW6Hh1k+XC8YKZY/dItRl3fZuXuikVHXDhep+16k2tGvM+VjcFTfjdELePLX 03JdDFeFocan66lOTo8x0LZQtJfG80r8KGiQdL4Wy7xTZQ8jqjT88IUxET5WQT5B RxZiJXPljEgAcNPUEbmyFTK+Xg23knAl+boODWFk9OuqcGsXw/qlPTZJ/+r2klaE kpgD6Yb712KWyA+n0VkJaV+ctdy1ROfGcu8JZYbSzhxyK9NEF4kSeGLdyPsS5vCF wEX7Th75hjOqFuRIORmR3mpVGXj2S7jYwxwteYoDxetKuHWiXaEfBul5tKEo2tuy FPoAA2vy7ExR5sn9O1NcT7cbP5xS3R6OZeqB1smpduHEo0flbH9Tr9HMtBA0t1p5 fqu27iZRISVQkWcMIW9M4iW/apxSb2x8uty6e1ztbhH5jgicmSQ0CXykjfJmRsWE D1G8ml8nrL84Hp6TXqOgsFIU+m6ZGZ2YddCF8Ec5SRA5OnnghA9NRbdjst0KY0Pv +IWH5Dzx+QGPNPJoTwdOSm8WN9oEQ4cG7Qi0SCj3uOdTa5WWaBb8K+NV8JSvK06z rSdVudE4ASN3qg8KmmN0mbyZu+UTjgDb4mPwHu9ewo/08zmroXX57bXYltJ+kvQY xXNmio9FucByHMYqhS+crfiNOrJROiusgeXEHM3FVamnBiJctcmSdtQhOcqAz+HR ONynM+XyQJ1kYtoHV32rk3oAb8Rue81D6wKBrAiY/LuvTrWcL+1qkrjyt66lgcau cPlmFfIkj292QpUI6OO2tuSO7AuWhS4HHTKOV+qgLx3JUGkLemOF2MTH4q+Hjd4B 8oFOZHKwCMTIXaiB9iPZj2Gt563TLp8bKzHCcvuMtaEVGOXVZ+sP/bpWHILdHy6g 8W+gqiVfqiHdcK99EFH12heoVgh5yKQbArQoK9Bsc8/eLyWANiN1Ly5Vl/eKwewV WgalbVokhcsHwfwcoYjaYLGUy7Gfn08E+/vdLA7U0T0EBRJYkh9UxJVtQ/aN1dgc CEI8P4y+nIGX68PywzrM82qf8QD4JSMpC1Itk/ONuQqHCulHBqSkLvJPdhaLevHK tUfEf0asqwOCdgGADvwkm1FiV272NNHpCGGmnHXdOQ64XPyTapPFvUDD0S6J+ITG pbfMpitp9P7KbNT6FSCJ2y87Nn8yUm1/68VSxTKV/7dZjPOkws3Yl/ySAwtg4/gK v3GR8FITCuWnMQ4Hob2cluObwSJRPTMT7grPZ7b2ezo+1vqvhAU/Ab8j9r2bmzq9 pHzYOG9yuppXDtLyrveKSev1AkTPFpAhDXbYcN0V4dLSiJ/6dIopfHjofiubIweF 8WqnjdSO7O1VniUn+dlbkELh27CkW1ND7rMzVKdjmpiuSB9ruo+9aKNoWp+vX6Q/ PNLk+n4NWouPUf74FlwVbK9oB4CWja27jgvYW29btcKpCaiLwpw43xaj8PvXp+ie kOxRBIWe3Ha0YJPYI62/dRNEG6RGlloGLkd8TPNqwpNrWpn92WMy+i4JDZnaDvNT AkihkE6DPDZlZMqMeh9dCelDUaZT3aYSZMhmfYu0GQmAN5+STERCQ52RRiY9AuP3 eMc0Hziuumuh3r6XEx95aP+KQ+1MB1mGs0uobvY7QkDi9IuT2+m0GvPnc0MV/nZI Bukz9CDs2rO43STCvDTwUVhF2CwGJpuyjrk9zwOVwMxcuftaHwrVCipJHR0CxhdB JNy/4hNYp83ZrlcmbKGnlJzEwVlb1ELTpSqApCqYZRZeWXOgOfnbOICsOEvH989v o5kdUmaaFpLZzop6dPTdYObA0zrUdrbJUbklWJZtmZ9u1tP5Inqh66kGMY+95FQA 2x/gsz1OJzplBZyW5WopmZ9K5skcdc4FYXz0opOb5t77QirHtKYol4oDtWS4bCT1 z08WJISvPu2HggxcCdDe/ApuzSuGHtSEHuIaFChJkfk9V56O2ftiJxokb7CmuBWP Xdw6HdD7nKHb/iyEK+oRNXDw2ZtSKQOv2Z0DMtymrKHgSoFnNPw1msAk9f1xkXni Dut9+OVCQXlUkNXW6/JUGzs7E4svFZkZhu+CJOmDE04ljevGxaJjJy7niGR5P1kb QHV6qUS/gVDc+VnQCXY8AljSnfi0des7VTdivjaUbC2BHzBPQpo0Fd8W+Il+aZQF ZpA2fh1OCRp1TpAHF2+HA8us3BFF5o2GnYGxEV0mg1UdWUgD/snFMpXO+Y3PJx4I RR5xtHq3YFMUtS2BzPvRrI/Kfg3HAdGblLnDw5ne0xSJWzRcyrG/LsQsoitX5wZN /RjkjpjQkR8eM04CiTMlN9E/rMYuqkp+Nv5g+CG/lQaRX/U499yzxGTP1Mulz23Q 4e7tPiJJYZlDcAK5ucRfT0n/B1uuitYgzlLR7wOrnlQpMSPTlTLiUC5HLqboGhrm GRpuLdgH9C6dfPlTgUyQL/h+pxfv89FHpZ9YwvxxaVnioZRak2s9h5LX21iiHI/s IC8zd5ySihvfAgPt2bhvy3woOapM/v4AcTg9ir77rs3UdsmQWelTHX34t/MM1UmK NGle6BNKxMth90xPYDqye4zvW3HwRlRRGyUQjgC6ulFJL+YxR05AflcnvLqskzxy zmAOczB2RckySvittCBwFMBuouHexZ4R2ldZKAK2Rjk1Bqno7yUlDKTu97qq7+H9 Hl30UOmT+wmp255gIbyh/OU9LO8UqL7rQqXhvTVqS8JzmcqvTRjZtua5lyjCwCsq ZFtzNtr8tRMpqcXTa6zQEp5MQSprCa5+NMl5QF4wR76zYZHvP2vnIQhcEUNnN9lj TsdJIcrZ0hU5tQ0DXEWJXE/YMGxIVVVNZNeDjUIUPd9gfrfT/KwBxsEOd389kmvc KTNHhUpmyyBRp88tL7ga6hNRoucYGriKerhh3krHEezVQ8E41VJKvdvUfXF02AZD o8teyw9U43lnE/vE2q8k2nai/uk1F/gEX3r6xBGWmKuDsL6mqjQlFzO8EXPH3alN i6pzeuixssfHk304Chor0+iWadi8aY2WueWzytcbm+kdwGJn75EN88elIzgC0HuU e+3j6r/AZnDNf4bbit82n/26nlbdfZ7e0b90VDBmxTJVPK8/6ynG2j7bMmu1gTMA kJhLqDr5xTMU3yN2v7z+RZ8Uqn8rPO/snWqoYuvYFpKuhjKs+4t848Izrvkq2FQq G4XSxIlbMUA4g9NA6qW052OjkgjH2Y4jz//lgfX/A/6fCIDYQc1c3BztzVxssbD+ AyudQp4KZW5kc3RyZWFtCmVuZG9iagoyNyAwIG9iago8PAovVHlwZS9Gb250RGVz Y3JpcHRvcgovQ2FwSGVpZ2h0IDg1MAovQXNjZW50IDg1MAovRGVzY2VudCAtMjAw Ci9Gb250QkJveFstMjUxIC0yNTAgMTAwOSA5NjldCi9Gb250TmFtZS9YTVlYWVMr Q01SMTAKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDY5Ci9Gb250RmlsZSAyNiAwIFIK L0ZsYWdzIDQKPj4KZW5kb2JqCjI2IDAgb2JqCjw8Ci9GaWx0ZXJbL0ZsYXRlRGVj b2RlXQovTGVuZ3RoMSA3MjAKL0xlbmd0aDIgMTU1ODUKL0xlbmd0aDMgNTMzCi9M ZW5ndGggMTYxNDAKPj4Kc3RyZWFtCnja7bdTsChBsC24bdu2bdu2bdu2bds427Zt G2fb5jv33nlvYu6bn4n5m5jujorKzNWrVmdXV1eSEioo0wqa2BuZitnbudAy0jFy EQjLKjEyEDDSMTAIQZGSCjuZGrpY2tuJGLqYchEwcnIyEYiZGv3r/Lu4WFm4WJmg oEgJhO0dPJ0szS1cCCiEKf8DxU4gaGvqZGlsaEcga+hiYWr7j8TY0IZA2d7Y0tTF k46AQNDGhkDpP25xJlAydTZ1cjM1oYOCYmQkMLE0diEwMjW3tIOi/w9VknZm9gTs /+U2cXX4nyE3Uyfnf7oIKP5TKSXBP50m9nY2ngQmpmZQ9HL2/8Yz/afm/7Gw/xtd /51czNXGRs7Q9j/o/yNX/1vY0NbSxvP/ANjbOri6mDoRyNqbmDrZ/Xeouul/aZM1 NbF0tf3vUUkXQxtLY0E7cxtTAob/clk6i1l6mJooWLoYWxCYGdo4m/6n39TO5L+L +Je5/5RAryGrqaGpTP1fr/W/ggqGlnYuKp4O/4v2P9D/aTP+n/a/9DhZehBoM/zL L+M/4L/zf/Z0/9tgonbG9iaWduYEyi6GdiaGTib/y/G/ixISsvfwpmViZST41/yb ZwwMnAScbJy+/1ekqp2lo6uppAgBKwMDAzsn8396jV2dnEztXP5zJvx74v9pm1n+ y4+pqYepMVSAsqIsxRXFJhoDmn41GUXQ0ld5RGAQjyr7jw3vZtxJe/qBTwP58xj/ Vos1lA/pFytSi/7ZY83n77S/FAdtUOZ0/JIvz4XkZs9kUojXnRq0gNwrIkvD40Ym y1cutJwBAWLHXLvaIH9qPI8WfS/cm4YvvrpLeA6TnOLXH4qINnkSVIU1AbyOhOXH 8npjxQwhouDJgdYZEdutqQ3UrezfiBA5DxnrV44M4A1RaBhCVytAZzBRHz+jgUXL R7AeFqBDs90vbj3fqFh67bsf2x2BeefEPflaKQOM7cMs6nhLasoHIC4fOLPduHUd lPs3SUJzVn/F8jOZkQ06+BvZwDn/7tgTWjrvFkchYM7k9/4YRq3O3dhuKWe6kAOh pd4TVPVEOKSZqGIf0Sw9a38ly+cEj+riXjHBQqzhWGgjnWDSprj+OJk8Pf/rdCs1 hY3cIER5keycQhm5CXUHotTirOTb5BeMzPYLsIakoYET4NNjtv3KDyJ1m0iGat7x QXjdoNacnbdf2ZqPHJXeleIqvtJGyp+0XmMK4Y7W7sRWVA2sDN0WazzASYMby8mk OR2IoKtTus2lA7B1VpYIIgF4aLN603iqE7v5+GgABHUMcIBs52qkijmUSRvHOx4q iRGA91Uis3pUKWPXXwPY7Bp+0FkWFFoL8/LUwBFmdOs/j4jObOZ4dCLGUelofnSV JnKMF2iDtZQJF8wjAoD746h2tmfVVrIC5cjeRa6PqZE/RYdbQWq1A8Cr79PAAewl fvHLliPvUXo8qD1SswJLAoDROL++eOvVDTXqLS1Fg1CKqd5pw8rXbZsn9d+JJbbJ 8fuFzMYAuCGy18LE9ze2DIBUF5gNJKVKjKqgyjqh22SdS3iQI3CmSAGUbosZw+ew ACJDRqd9XE1GJSo3ybuksyqCCAmDebmu4zCHViEC0hu7XDdw/ElYI+Hv4OrUwSql Q2h6F37R1CVHzAGETK8GzVgJMJZxTYvO0RdQ9V51aaUad9GGdWNjq9oUkV3emQEw vzfahVkT8LOIwt4HO1933aXm0CrcaSLlOOFk8wMAWj0d9nYwr5NVjKmAPhWomKg4 NNAgb3iOPmCJrVxu53+UKWfJSNsQp7zfc4mvqFuuom7bB4qbiWoNvXlLltNCv0Wm CQt/9FAF0biaDjTFAFd5/DICcN3FxIXdZ5PfUEAe1aE+V7Z+3NXDQBO9OiyNM/zs vmj5Mz/UrupMiNQzlNT8E6YTjm9t7R0XQoMcCFTcDwkBo9h1KnjUqfnTaRQDF8KE Z6dAEnJD5twcXZr6x68s+/Dy97rhx67Tr8zXPS5kN8cnS4m+R5NpXwnbsd7Yq9Va xJc9kwQZYc2SEuPnosQwsjxWjaNqfZrFaMNdrpwXQsBNUydkoKWCmGdYHjbo7d/l U3C/NXJvaf4mrEwRanYoM8c4h0xZDKB7IkFZ9BVBZ/LGACNn+HVY0VXRIM6tc5xW SVTk2e4+fhwUNnj0poejADmoWqUdOmnF3NeKfSolRwI4A6rUjcKryPBK3rtxGD5L ixW3AaM22/UqDtNXX4SXMufNUpuQg0tixDoX+MFxmN1m1VWmfSRVi/BAfEaFwF6T dVqcywzyDLykRcPz+MXL949Mzr8WM/19V6XwmiMJVc7xNqX3otw4rhuEigPiuj60 Xh4z7GE1JMuvGv3WMsX/fSfEj30gyJSttUXQSlrxlHmoUrImFB5DhS4NKWpJf8kg Ad5gcJ4Cs1bLrnnXLZAWAuohAc2K7Vm6jqo8yyaPeGzwqMBS9R4THqDCA/i+/QaG AaYL3GUUKgTrvz7ozlUzEei+EjKg1LmYWZGeP9S3zl3/GMYX5Z52Rnc/OK2pZ69A j0Xsxb5etcBAfVy5iSWB9jlvlJ+rXwEhtCfbpiD/hDfUELT7Ix+9ZmjX9ZPs4RhB Mm2niKwfL5GXpVrwJmAQlVlMV3tMik/+G3blzyQ70cKyhqzH8HCFbZu8tpWYprjP z1AR9LBXor4Efu+uqEy1BmdMBVLGU1gK/mX1BM5I1gtIvm7p0kz2FPlrVMqDGfYN ErVmorJMfWBlYICAxNnI0WUcbjps1wD2+rbDSMzeC7HMgeT0ddvj0vbnCjJa2NhU wyqYnLAAkZv6fl35IxqM+qZIp3oUMmNOlqM5i196ip0wozBt4tL2YeokSzM06hAJ GCdr7bNj6Oz8dFd0e1IJn+vRkILem28EfLypfg6jwzyuix6xHyd3aPibkWWkeM/a Xsb1KkPFbPgZNMQfxXUCTze4rM9Vgn0T6P3M4hJ2zW54CScab4O1ZtL5YCpbMKkL KpQ/xYliCEwuPokrkflmYoTGyI7SIndFvoS5w4GM7XPdRzdw+MEDLTxYIVdfSG3M K1QnvSQWY9fuYNnHh/m8lshvDeiegIGdsbfsEVTXTUDsZskKbExDtZICQkbdGS2q I3S3fMbNxwMq8a/A6X7EVPIyl0SiKDAQ4S4cNm1vqtwTSodaPDeOMuXzV+85eRUx Q9YiHcI7S7ZN7d+ChIXsFAMBnd327HtDbxpKr2ejFA1ifeyY1OduEdrLJtnSRWjE czOD2TydhayQKpUnagT7cR8fENCGqW6STIWl8iHl1cQ17wLGcYHxJy4imC+XnCMZ 8sQdI58CF1dO48WT9BRJW9W6CftviYvvP/lR3bGJybQrDfiml5vA0rc8Tpj76eZg hKBhRiNdH5Wcu32ZefkWJ8OnMl3gLpWFYX8FWQyBw/RvGyLqVVxF59yNN8FM0jKM 3VvCbyd18vaIrpAXquwleKSgdn449YOVZb1PKPSsCHyVKyoNriPPe8jrp3qKuGkz 3CrW56YpMxNWCPfd5oLDV1DUIRzZbQgVslMvUKe/nDxC8VF2gyHa6BAxku+YQyK6 r+cf3i7unMn60oecXDSvIt+QcNJK9HgbR3nFY6FsS59PgyU5bnFKsBPhSSvoyV2O Js/vE3J7CW/iAPjI22WEm/IPxdsPUjlM4klsmZTVi8TYtLOpkbctZtaOZTPXbUxI TRu/2G3plAEk/nj5iLQGomOCynJN5HQ9m2n9tUc89MCOAYF3FpUeS2kUprPh0uhq n7pl0WX0GJ/HtSbr85fQ0uFesp3H52xgOWGr3jZjuhTg+JrcF+ULbepdH1o2gqIq 2uyB2WBIOG8/NxlOHKo71takk2skYHU5S5yzxhAdjbgNrxezbj2Y3CgjhsgRZP8Y Ozo9Ke9AOcm6x1PQ5/ipkZbWwPvDgXmn1HpuRWjt51j6p85hDVk9r/IJyZhh01PJ qpTg8twMf3hpDaIMEh8k/ckb1uTWHEC/I1urDygfETjyIMms0+hutmiOLkiG2cHe kSq6M4uhIK8frUU6XlZnV/ZSbLhcaWW4xz7ZC9/aEFXusF1edWM82KJf2ihrET+8 EuoDKPPMPUC5V958GgOC+rz+lnxJO5PRAZq5jZ7BIIIo30XsbKOE3TRNpnxhNtXm b0NC6r7370P3S4+05cRK9lAOQE+NVILsTM7mAbVm8aCBsjPw3IOXwSyADrT5C2vw Op87PlQfmat73c30QxQ6+RIES+rL4XRAhxRKbT1kYZdJFesOyxgN6848E6Wzw8b4 J7nrEOh9GbGnFTC1iliBQ0csP8O77WVwPY6GTs45na4gZQs/1m01er5nASn28IH2 CrhNA5Zi3+AfLmJsp2j+89IxI3/wK2vOQbO8ikHRqGSkgzvNnr0Bd0vv7Nd3zMeq KOzIblpZmuzE2Spv7LeU0cUN7qUmeXkkvfwS6DT1XhDjKeThXgRKU6hyE6/piBHO nGqFiZBVcpJ0agm1U7MDrxDaHVo7zvDNlMp54GfABHvSHho0NflCz2Fm/dgvnhe2 252NUaGXtgnaU4wPYRSKnTT/ILHV0F3Dwp3KQmIAlt14Q5P6FsoYm8w9UCkWKCtT WdeIj1hDpNqaNrfy76o9+CcCm/ugRdz+Zp+oQYQD5uMpl17PgpppdRhTxk8jfV+G VHbRgVtWRBlnXGQUi/mdc+qEiE1x/KzL3bFxmnsGdmUGQbsLnloCuDBKn5lR6j1/ WRQdOV9/JcPBczNqv9tCFRMbp93HDQtux7s3J0M+J9QF4B5Fa4HoKYjFfjeFSfLq LVyF4yATTk56wW1/JumpPw+59IF4+9H7tcoGkgtjrlb39GHBWxImBKRgQHtEFEUA YCuk3VsWLtXOj2ShD8zWlyiGg4I3AgSC1NuX7A4mc+vOkaAiGRE20IZmnmYYP3ho wdg6oC/ZsEyIPC78vl9q5D6G+7asm9/AeUc/BcQaTmPsQVTGrTIwtyadKY0TBQM2 JxiV8H92Npd+4oqOVg3wn4V3p3KexHtz5TbmicZJ5BUhyI2aSnYaiBoH6EPb2mbH orov4CouWjtpFQg6SwVG4ztidBkoWiBaADNGLCwniJpeLKGuSwDQt+ayZ2h6xu4N 6UtgpJ+A1h5yLFXCqayDL5CLUhfbF7L0teSl1+Zszp9biSnlK0OSN8zBTZUJcE30 px+mik2eVlNqk1vvY3x5VtcXUPoK8T4O9ZQWMtoHPP79I90xqVowi0YjBE4WAe7h PbYq/3I5Sp/LrMdR/yw/kFuk0ioqO/JHAKhsjm1DU31MPF2C+yifFoPBHs0iey32 hS7Xt/GqUqu/FSHjdk7CjcdJjGudxJHV9nArptnixrte/oQcqJUTtf8tJX/+9Bau mpiYPPPrdKUMV9pMLEXODqfWevve7OT1xTp2f2F1jztAiUgEJRrR+71D+8Yp1Rch JV0JSFT9lZCmo5wLP7pYh9E5CqcBY0O2hI3F0upufOcBYat8Q7yBy9/X5QUXUPT8 xejSiNvde0bjk4mMtpN6PxDeH2nBKKd9g2qnb0l6s+b7k83YR7BX8PEuiRpG+3zV RqBlk8C0nunlJwese/pOoq66dncEAlSH4lqrm/5vc51qjpED+VCa2y/iD29Yd3ag +Qxz5ORtF2ZkptpmElnErs+es8/q3IVCGSGpoXZJML1dnfh4q8OL9d3pA7A8jleH HKzP+kNJGj1/s5nKYlBymDkHMFf4KYSWrytz5gAgllptbltZgXvBSH30J5ykEbg6 beSczMsOYttqx+1jLlVCC76NIutd0PJoVz8uGKG6IQkV03JJ6GqV+gmZxNfPrVE2 bgJ70tbKXfCMb//gFM2fZuFxLMv/XoZT8H3FIByIU5nRMPW8ik75yNcexk/vjQh3 CA4aAwmnHnmXcvwE+AWyqYBMFyzVZcXxyFZipdjkVHvUzUZG5NsjJ0ELTaifYx1Z aYIowUgCI3/jqhk3W9HwnbzjPiHHos2z0UzgZ0GWG8jakWjGTnCxiCkjfHZ61XWX lU2XjxBTWlJhKbddylNqdn4/awXzEuRvOsLTmrHbdI/yPj2a7DEi0Fgr6B26fP+o J7RZ9T0Nyz6/Rvc7MfXdHZBX6d0fYYzwXenQs6KS6XY6FaKAXie48N2F7cQvcWFs zftviXMlZX7H46ipo5cmYzphKgp0rBRW3aWVu8ua4aTaydIgV9aoMAVE5W8pU0iR QU2ne/serR5svbznoevzeSyc/iX0RhZfXKLOsy9QTdB7td+h9C+u8N33buskPOSo 1Ts5a9E9ypgOYmFqG1SsPGNqIFEeDTZZXJvMTGa2ZqqFw0rsmTFlrbFLXoDwcfLr RkURcTsi7rsy4BFvaq32b+M1kos3e3i03mIT9txauLJtIqYIw7+j+6ma3WlEu5bN 0Nsxs+LJRfN4WKyKjVoxVKirrpl0YDwkikbmvk1bl5onGvPXYIAS05NdMnXjbaIM 47QqrznFdEVtmH98mC6ZLVAhebTQLMOc5SWMcZqa5pcOYBvooCrBEZBTpX2PZaDT gQSNEK0md5eMclD9vKiJ0ZWzxP5+ZgSLz6QRdEBXTaqSm/zqOwMPqSxO2Cs/dhLl neSE6lHDqFgqdgUdgS4Ktx5gBAIXWwzVXaitn3UshB3cqWEdi+SV7Sj9AGfU5xFv bjZA063Eht9+Zf4qsRyDWMJKv6n62K8AZAcFWoUPVBJ6mpc+f/aX8NHYQheyYLGt 8Jm+5fwps9wZVt4q3Xz5eJqoy70Es5Sji5sZoAqK16x2Q2GuPOMiz+0M72fInRUp iJ9cXa7/CTmESadCbYHit5S0TWArU67U+hz3Zy+LA5ER+RStg/7eQW5I2B6mbJSJ MaCLWBcWd/gj4s0mN3L4m6HNHOV7N1+tXGJhI/B+qMo3kUjRECVcT/U8hwNGZOyu 6ASp3nI9aYtgsDHH8YcHAm02EOEXzxv+nXCEddOCSVhKm7ZxloeRf/eUyAWR9Gtd w+DKzXy6skX75+KaEyA+daBNpCZYipawS+stYVo2ycnmvtm5HrS2ubbv0SFvqEg+ nwVx6zspr6AYfNXL2x7kvRSpDrvQEI0FArH/PuFuI0G+tBVv3ngFMdggCeuarwvK m2KcWtCEb4wQ8UEhOwt/ieNdAa5Rw8Fqw3q5z1uPCwGCxN9Q63eX0aTRGdBcRsiq xBCW4s5nLwDf75oqwPhsJPQYon8xI7T10SCjCu45OZ+213Cbwmx9AbksURKKuuO8 oiXsXJIoTKdR/xPjA6yGfD4dg0u0v4ISmHrvVlQ9COHSZNpZbMPbEg7SGr6ReL+/ xZkuy8FRXserY20eFE29XsiEO4fF4+nEngx9SQD/kPbh8H2pNI+xhkTvfXGF6JdI j40eif5TpFljBI6+/JoE4WCEPANtCHS6aeqqbGWsrEVr6pa+bJ9A2FhxgVHD8sbJ K32zFkWmvzphT0XittrurRtTJ87nnTkGYBWcsmEohE8u9WROS3zMoTxqHwCfd6Y4 gfDVF6AflNo51stdTDuXR6Px+TIjmQVb1dIr3pV21/xtu7DUVUNNL6qGAWvuQVkh sMdkozUdUNx/i55MgGMI04NAvpGwUWzU0LxFq1t9iejYWlyPVef76oPE5FDupaoR rAii9UUX7FW7oiE/ILHk6NkuqTYFXB60iakSKJ3lyq9gdVO4FBJrzxf2ACj/AfGY qgQ1p9b86U2DUijfodUGef0ZReaU4osik4isf3PLuMMkTDOAhT5vK0OtBIKBQHlZ iR/X+cMZ4Japrqut/2ituFFQMtpLb4RL2cWiKnz9kc1t0zDlTD/i6bF2RWzt85AP GKsoBfxo5iQwYpIeoRxUeDlO6AtF61oMaO2Heu5ZRBe0okty+IrQqb0ubI7W7ITs Jtb4QLQXKpza2Dy6eV+hO8MH3HqMQqPWrmmPMiR36XTKlUREDqWlYvP8SrqO1Xnb 6AHfKEo68CD6WC6SIYJTKxfUdkPNSeCADjw97uxjmB4FSBauI60yctnpB57sHZ9/ WNUJ94Uh3ERmPA7zaiea/djmhkfTHunqiXn5HEViNOfWmUiFdfMEE751d/fjMyAL 51AZkXzafnG+Og8uvRvp8/zYHkfeUlSvdczgT0LYxj0yfArsHDQiY5UwOj7VFAyv +mHBJBXA7p1In7jHv+VwNflrNVvJq80GFRxeIhW/3nJ6M+0vFPeF7/0moiFi3WEA KUAcWw7Tpd/LqCcrrqkIaGMjqs+wETlJmYjBugF96ShFkB2EA/qVD8NEEjocpy0M y93Lm1DKgsel5Fqlr45zOHVN/FinoXsbFwpVwGFwf4kej9SMMYB7P06Y1hgavCWR 0uneJwd7HqVzEfKQCJf1zx+Da9tHJevN87wTvXO1pz+7vNemcWmJ8vqi8lW+ChQL x77YO8oCy4MQtfAzDoGgsCZyjwZ/TCArFKEhDsqKnIZCnVjRxSkjgVbPOtr6XNq2 4ZBXAdMDaJlGoqelzTqDF1iOul13/qI3uITdHV/8ElQLeYBRSzlbvKRmugMLnxpK 3FkxrzYbBImrJgAzczmgHNacn6JGXqlzrO+2z6NX5F9iMAxoU6ABKmsaTMVS0Sfd LHDL7RZfe9wNqdB2ECowW3ziG45KiU11HMkf1T0uFch2/hlTQo2yq3805JDFrCwF uuZZFHbYboYFFloiw6x0MdBPhb8GqDMjwm+mhT8vhdy2cI/pGkICk9pP+3E4C0fW d02Pk7luZN5XsVvtDWskKWJ6rJRiH6H9AKYhtt/VIGsO1THwneqia3Ao4UbwuCx+ FgxqX5n2m7WE9qR5nuWWTnq2Tp6amEKjfXXDNmBk/+gaV86kukNDEYZOIlnKb3ho l1hrVr/jjsXILp7Ij5RTsFXA6xYkqaFaM65bIlxmvnm1m54n7bKyR2mGPlCrrvZr f+j+837MEzVvjSKSvz7vZSuIsYhs+80a8mYY3N2zVuRK8q2lu9B9rrZ37yfc/RGL J8sLG0wqcmPSBy1tzBekuVjJedtcTiGRKAQpULbXIn5fktO3stpgITlfyEnS5MYZ lahc2XNVClRzmepmLqxkAH/LdBqjFcTp0TL4XdJ9iLmxTuAF9QCtF5uuuX6O3Fjb RI1sBhf+xnW+qI81cel8UBIkEFjXdFNP5O0wgusNFzMa5TSGczXnkFqoesxU3ODA lpUfzMQw9Ryrq6i8WGMDOdBBYNO16M4N9noxIICXVFLE2Nysdj9YvSksrOINeCwC 4hUsHCYmZY/KvojV+8TB5ICY9IAmSL+lw4RPj5sv5e8RpoX67DrRJ+1HpaoGNVUq Ssua8qqZMRw8Leq4Teb/aLckekhoC+lIf7BxZUANj/PU87HffbeGuRveMrCVx8DI W7jDyK10FyhJi139nWsLeCpVys+Ml8uokDaWlbhqC96Hfo17/jzK5EtfKSf1JOOd YueaEfKTXDGreBlo8bRRY7Z6Ykm7nqt6ax3TGuHDGd+F9Tkgy0hPovoL3D32zMwy MsnntBbborv4NFBVjmgNqn69JjEbmfaNek2mncbXO18/e5JrWogAfLBw1hfIwwtq SYPpHYXGrezX2K//0WxDeQspAhqjIJmtZPSoSPoK/rf0z76qmuIKbT+TKLAFWDKW qhvxHhGSD5dbfmBLiQpiF4pvhlUpfo5FmBDzmXNAIRnfxIP4UwT8Z5wwmIEBAme8 Op5fF05D4NsSo8psUIgGkYTdPlaMqXo1iN/eZwEVLwBlGUFTzBR8BbeIKaMFeuOn Wj1d8uRh7Sd33t4o60oc85+3TF/bz7CwMndnY3obmcnkiXF2S+AsVr0nxnEMppWs tgWdIcKwjPE+5B4h9Bqt45eDrw9ZoBu0Wb6+XG5goW1/1pjB/T1jBpdftxG9+FQR 0xoGtQKaFv5puJHFPmNupYUaueC2Pj/CW/IUw/6XUKG4ZXZjY4BhimHPlKCkmwK5 nZVPGTz3rqfa3tZFjBvDS2eZA0n9V1p+R0+xbJvb4dpdh9QAiXnNe4/irQsf3jsl Q7hTbqvQ3KW679HKTvFFHNn6B/824MjI0e6XddTlJ+VxJqPfZWrHVwB725s2UmCq VIOGTt5hWKe83ru/utmi/QcGmy1e/tRx20iPlB7UwTtZI2iICXCY/hosb4DtsVmO SNsh31ME6ZTGWpyj8TU11ZcDNHPB5izGJww7de3WLs2D873eHy/SSV8K3z+2ooNW ssVTbvk5ZDYxiT3hdIMLbTq0qNJeyM6xpBm1xI1pfBZ9R3EkEF03/t/QOoaIkjXV Sry+4dksPfnwjOYO7yHSlYJDAI0I06x1rytxc3n4T6bYYDNTNX6Y6bRLcR/7ZkL1 fxmNH80tOsCz2OdWUU7fgmPytvtwLqDKg2M6agK/2quZSDZfa2rOjF0dZ8mM3uR0 Gh0l7effWGKlZ/XeBd4BdFVSCKynmL3daI7K+gCapQCAPyabSyvZeuoS9/Qbe/1h IxgrvDOzh5eEnGxuX0twMqR2Uoo+ZoL7zF8QHi5SycEN21ApeWOjCEb6o4VB1MYy J0PwASiWQMZgHF4HP49B2v0hKBLqqGGTzKkPS61Odav7UDtc4uxBIs+9s6WhVDP3 mlo38F7honmEHQkhYoPIv8oxtDBBgsYwkflE6+lm9IWTdo2ItOMQnZkt+Pl3z1I5 /Qwukv5UdGigb150PnqxWi3SPoUeaqXpQVjlT3LzXLaKYzo8UzptJ454v0CAmxJ6 va1r56PosqgaQoNQ7QQihJ4/Suwyjhf2epBEnQG6Gmr1dI1HIlWSZeq+Zao8z19q 34imkuNpVoA/oNWMYt07l+zP7TZNHZf5HO9gfEQu+jx5BZ5hLga7Wccx0CdnAUID a2tkj6abF7D2+00IXnpQw12678YaTk6vgmJkiXmMoIUWaqNF+Av45ecSOfehu344 MJCa/4zuP8/yNL4wdvnAs6GQuHrTmtsOs2fqX75RauYLBW+8stpJUmNr+08yd7dw HskkbfRpu8lZZUzSi5G+uBr9tPiLUi7YwVstJ14pyDDiBgFOUhuLSsumndBHWSRK 4rOytzCJJHKVd3JZ6iKOeBcgx/S4ZZiqT0CYadYV6+yc5W6To87A0SvHjgjXmdhB vnVE2XirwH5tuIvFG8Qsw431TWX+hfD8Tt/Ra+rc/iFfFODVuwFe6z6QaDsA0VVP 4ecMBWkUDmwjgDjBqFx8kxJskIwg6NhkgHHqByQsSRZV3+sZO098HMIOUu8+sw4H YfjJrs63KoLYDkPWgHq+ZKbZfk+Q1MJrAzwV0T7wWYgwoCNQF3/Ur+DY9atFKKQh GRxXLj3y+s3d1G0w75g3rgiPkLV0ZB5UbSLOCR+KMj0vYP4AcD2OoT0CFxXzhizH fwx+mlh7f/m0QkmYelLdFf0+O0ulH03R6BMTKjfHGWeAf8Lyj0HL8JzszyB4oDXT QSgMKSAiJT87cHqjmlQi0Iy+SegacnRJrDwrOUyW7/mirZ4wEgA2hOnaFPILPhji p6JYcIbudpoaBTERUkqImIpFIoV51In+LTlmSy58cBL7xXZnUAbqZNxP0unPKt3M RUm7iqvzXg1X2ptmIOLRaJHIFnVRlVrFv0rzZBP/uIKe6LZ1lz0guY+ukQVNwpJt 3MuW8dFp9FqXNkaHrwDgkcNMG4jW6vXnpryRcY/HlIWe7WjFBlQG6n8i8D14kpL3 l1tg8+P9NZO8aLmVJsYUZ0sHICGRD4HjkD/diiAMkoxdnBN+wju1V1E4iZ7rXRI+ gPv6e6cwiHKoZtXcoL+7DdiyV4XahUGAe8MjcMiS0l31YK1UpD29TWHtJOG9qb3+ VxztG879BO1t/rCZe5xIlHwEzWKb7dC3ZIZdoDluNf1RVDOf3w4kromKudLNnZ75 BC09oyJ+4GYsDE6BRR+Du19w3tkYExyJtoOyeHxqtdu/fiRMjtoLHwd6xQrszQh4 L/ss64xtHD8ick3Tm80DqLdQA8Qn/ILU2iwppOTfHkKBZHrTqjhJK8oklRVf+GaC GMvisA0iod+zt2p8KFgd5iw7We9hi0i1N4/wbBj25QalzOO2dMIRedbM8OuNgMXo RPprHJhVMIbSfByAOUb+muvydoZ/z2Qmg9YUwk2J0r0XTDJaxncv3lN5ggfzMZQE K2Rbts3Lrbe5yXR8wn+1fZxoLMmalD0EQzsCJlUi/tTChXuHotjAncnMCyHAp5uT CT5V+AOAwWn10pWGmxddLpaE6yKd9C5eQZ5SImPDqW2kEO4N3dDxlbuG+EPbGwZR Q7dr7c3qCx007DVMCbWGCZC+jc6NGCxKrA5k6BPUeN9/5K7iNy89H43eyBDvAmHj l1R6bVj/EGftM/Rld6J16U6CLiWUjtLCJUXe3x9p/Tpjm9aRRR4xX/ZB/WqFsgtf GMKPJ34U0odUYMB8/p2iNwocTkZzqNbROIQvlewN6u9Szd1XVg0UXJJl7+ZyRZWi 1PFDIDRWehOJfMfC0GQguyOHITUoUGlaKFN19MiwcN1x7CqHdV7dIB0I6UBJypp2 ufbp+SimNGPNh8yl6uAk6sgb1f6cNJ62EyiZlAhguhNjwm7Ki1yCKqLDt7lfgS1s J1bCxdjAwG5QbndNQowsm7KAr9PWBlvtkmLJKtyacUiwNXxnI2zRdD1B3YN6h4qd 9/kS9rdDcrQd9B9th4lvlTl41ALqXKbgFhtAWRzAj/Qs7xQgCfAtI+kkNkzAeKMY T1gK9xplg6VO3lHmSif5r4SdTe5tLuT77gjl7Jcbn3ipNJ6/XidMnNSWURgmyJoN t+m/rP6QERNSp7zrw1V+fi31zfgd+/nfCCn+JkeTMiad99xOkVVKlLs1SGyT3T2P ZD2KbwKfQXz4MFvrra5wQABQ1B/BjiGVuVSs6cw197Tj3AAT5XbBqElVnIF41G2C vLn3V6/pnT3MrpTEEu3ywQXuUA/z69TGnykHRmwzSXDhytfAnXP+imwPsBnFPrZy gFtur/o+zHZMvpBe58+8GWrAlyBtEjjWIUeX2xXQua12WxW9sBMta8PNLoQ+nNEm qtPNPQNGS504sAjkIZssvPdhBvAG1rkFa8wuUI0TptTIOX2fvl2LFPaqC1Jjjwht l3agNHlZptOXHKBxLkmDfgFeslhH00PRlbSIsMBXBjEdGc0Lftxf3X+djaUfz+lc q/sOx4Tq9VjiF5VL6iZYhvBjv14rI/DFbcIpT8McCPfilNhl2Z1cwZqD+hFloi/V bPTgizSMno5hNLQiYP6gvP04ymc7Z0YpcCNk0gcs/lacErAZzYCL6kBAduNZfa9/ hRaU9mlFL4qcI79F2kifnEu4fXMcZNMVIxTnUuMFwZWrZLYHZk9ZxCUlXjyBOI1o D0iEQ1dWo+uz5Pjsv0emvISXSeQvfCQ+p0mG4piO/qssFrYs4iDRpABnE29DlwH5 zT8TebYqOxlhUQKVv7HSzEKXR8ogiVB7ulCB7nKG27bxqBuQs48vjOeRauQ/zCOA l6aoJ+NXe9xCj8KajbGZaUC1bX0LMGWTiHfInmU+NCWlXm6HMCdRWsFYd3K3ST88 reh5+fkQWmNxdLrsGwPTw3LJtz//stc4tlRnENG4Q8bRb3ffS4/6xFSjcXZXjmwW rBA0FXFK+Dzh9F2BURMJW/2pr56JN372PHiBIGRUx6zdq+9sbLDZa9lc3nnWZLpG Ud0qgQ8kSk5S+AaTqtRP1eYxJpHa005Uxn7bgbIpuRJj+ylguycDN3ytAScOAm2e NJm+q7U+HeIc2each+YVQv/WEQICDlJuWS2csbbVGtJxLULog6n/RbYdx4NXC2bK VIM93vy2xKJGWcxWT4D/bTVdBorOaOdmKpAVdXm5wG13dQBQ8FmmiubjAGldDiSm R1P2KTFbRnZEF9CMQAAp9ZBqSYWASC3fP0Nu84UOklJCK4C1A5RfMGiaEaAcnY6f mTJ3ScCit8PA3b6n8Yqo+A6rT/VAh1eDi4jKcg3d8PnqfHn8DZwUmlAlR62/+hp6 UBYwmaGbTy3hCfXo8hNb3usfQipjgRpEM5N31ju4pGqdc12HYz4tBiE2GDeY8JMH A/6Gc9p/U3491aw7Ce2uC/XaMN3+SJh3/CKDH8swZgJaYGYy6Q6Q+FzYQHk/9KEV mI2NwGdo/e7vwu0gYl/J19MHn/FalyHpQqZCeiDuJl0/URQx3L2UYDfc5f9GHdoP 5/tXXXUGjkOoY6KD2HWUY+PWmtB7z6i+dfhgSIdg70Fk9DIDNbwd/ZKbk1u9JoYe 1fsrt9VzEWvtp7s57Dh7UK+CIpWGz/Y8IRWmP0vIqrYhEgFWIAXIpZGr0kupFPrW JlMsMK9ROK68WGRx6Aah1elmuaeUP8Jl3dCP+NmokkBuwIsHaJ3+dYKXdHuaVD1A f0zqylxC/OTWp9r+kxvSr6x8zV6UTVvTU1yXKjcMD68hmB8PTy6iADVW03YkRm7a /ROUq08d8ej6abrVFNATREaByjgQTWy0qXAI+ZwlJHOzIJFrAysCa1842M1EXvWa Obbqbqg0d0b37GAley9yVk6nc3LWYDb9l1DJDIvNplqDzyKRD2ceMK97z1q69KJz T49zzWjjnug2clG0ZGXVK5aM/jEacT/yzgFHRIgFr7B6YMCU+wTxc15Pq17sO7Rv xnGb1T0jaLAZDGVhxpw3MCYyXBy+teq+cLj41M9hbC/pBE1YHKKv8ghic6VNUDEV vI9ifVOd44srLNlXOa8wQF07xBe2PwRmEm4L1n2l3Uq8psHbZ1Mzk0DIX4BcZEJa I9CMEGGSNGZbnb7qGCgHP6aGuiUVxldkqyvO4as5g3MDLoa7HeMRRDZdt5I5e5rP FaCfNJ7DOgICwXrA0hvqgTwbs3nKw8iKJydKOIUjeMVswCtuYXlZyjjX1T8JsR6a q911r9fvW9+ByqV+fKWIPybtDc/CFCNfOSdAfw5NZuvp69Lak5aCrRHk4cYpjYVm P//ozFDIXPJuvhZgZhD9E946ZbLGNqrk/Xcd9uqXipjPPB8vxVngj3q46UadKvA0 K+mt498y8yDGajEDMVoZL3ytbx9fIJprgmuyvGDq+wEWs/slktPpnV1JoiJDN2GH 464Cx6RFB80spA/8VVMLQjXQIhexligQ0EYMEBOmGyf6bGXZl095/bynageCC+W/ C6+arwpT68v1ZuJiKqUi74eEVNttjizpJTQZjgrIZj/TUE6mlCgyhXGP2a+uobdD KlX9xKtArFDU8NvdODZJZjHjz+PA4a2z4u95VwujXx7foS9190X74kwUPFWI55CS mFKGADRjxKy85eHOxVQZGR5AZIMthA9WC1GB3WMHP9TmmHYE2HRYWmzd3UjDU8+X xrMeIyKZx9rzmXp2BDoyo+EFrADvRGhrq/NmFCn7c08KyB4BjesrAb7KnANY+6GV h395gKPP+x+0fZfX5yNljXlUg2kkhHh8b4Rhc0syCJ2zhQNKGZDVaxdOCvRTXSaq wzV6C8Y4oDT9x3VRuMBC22LeNEq6ul8htzkRqlfwmmy8tbEfDGe5AF/Jifit1zdV nR1LTOwvMvyz2eyK5C3AorPABUMKSAnbxP9O8BWRGqGgkUrLlqEzaYOf7JAOOUe3 ms5LGDNmhw6zWA+VTZzYSYlYaLVXzMPFdu1ViqwOVZqbyV5oZAHi6jAIRT4WxJbq V8Oxa7bt7wOcYmcd9U+RQ60OEb0tmArSC+SHnChPw3Ar5e/PNwV48vTZ1vD5+WpV 6GFOmepVABNTJjwo8vBE0OU1y7nC1uhIpuCuNd7voM/oFC+YqcNCdZBVeNDob3Yy YnI9ToOFhAhJK/U/UR7mfVw6T4ku2+VGlx69vEy7lISXzrY2vJ+WLp8dCBCvblNh wMT8bAMGSE9j7kNd/qgCDpFBj+wR6NtukGe+zuTFhf8EpvhTjAHpkfyrpA4M/f01 HkFO6e4VJp3vgN/6WzvwxnBJ6Mxd5ToQyiQjsqUookTj3z1n52UWuoPs0nhKYSlp x6Z5Gmf+5ohUeoUwjwBy61L4c71joiOJJeLGBDtRKr9PYz0cwDOUoGKe/Pl4DipO 4AvTbBXhhRHJNbbleQoaxMIbq2/PaIJ6s/1EBHUyZWcpLXJUYKv0QFqIRRXiiKIt aU50trTHmxRjQuVTu3O//KBJxGrWKdYGUVdBGaUCzGd9xKdpxhFT5AzatO8+RRFy G2cN7c8i+rLroK4I6jTGLsFQUfQ7in4rM3dV4gpFW5oKW2BhIS1l2qgiNKTIZH90 tdMXiYAcJaFPL9+mcctIAld6DqpMUEPFlT+c+hjk7Wk9G0/4ekSJlEMubLVreoeO JN8Gl7nAb3lPi5W9FFsZghI4tJyoj0x7NjROhUCk16x5EJjhZxqkpUu/xi1RpVhq mO5gVBy/2OrtMUWd7X2qng9CRMXRlwObvvcVFnvwB1tng0e5cLOLLxTxwU1TtqOj /14rG7dggMEJ/tIvm2dZWic5Q7aJ3QkNL7EwtEHxIVvk3rFSypmp3zJcFve9RAFh q9n75nKcwp0OXxz5Mmd38bqD8lkB5Ez3kk8OiwDVNHJl7UqkCmPpXpQP6S0VJ2W4 WnYMZI3m3+Ll4AZeQcPJjgozWhoYagZFqfX1++tWcu3aGJUS8PR6e9UgGZl0TpXI LuPpYWxrEvDCl24RTk51tSCz58mWbctULlXEqapPPEjUF3O1yhkjmkuRHakv4jf8 g6GCSsCjGepMUa6TaEQdaehtSdt7V9ctFYYkZ/VNU5GTfVuse2un/6EhBh/fgOmT zVdSLPGyQSu2PuY/46O3kNii3nzPfy6uEWSf7bbtXEgR9BXufO+y2DbQoAbjFfOX 3pnwssEieCaye52tHxSkbzK9R4MKo4oHUGh69LB3847Bby9W1Y9Hqjw35MydCnjb UrYAf1dqnbD4N+ivzGYRP+XaJKmM15cLpx8ywVwVZvniY14uIBoPQguTvMSjbeFk R9aOtVQfYauOQU3zNNdwdSXZmqabpbpVJFFT6Nf9/GQ0GUlYNhGg6hbIDLxHBqcq DMUkdFP/hdGp7tCgjph81NBCsLCideoFOLrIBCJcm07SLJqe4VAy/dc2GangeG2B 2UMcMXxGYAeYUygWRbwIaGHrbv/YgUhi/Qc3zybO8MMmTBb9LptVAphuB5hYNBWj rSgf+W6ccUD2CNnD3wl1dyX8+ZpMXNTCmnZtpKSfN8zXxMflu3uRsjNghSDGXDCr cAeRiVKDGTf6nyLeL6rsGpMz/kOMrBnuyp5lMnXzm4M4nusV12DJIIcT0zef63sV OQeJCxmvZ273JbJlxEosE3JKqGP9CO5fgcyUaEZjfEPsDjG4ckDMFOD0/uIHRqs8 uEXz+3yg3ZC3cUBOzTc/5g16HxuNuvAGryWTyRKpdznyqtQ0vt/e7FYrcWltrp4s BHpaBFMLJ34m8BbQ9ovD+F2NlKDLIJ6gyCSuhz0K74ACNLdJdWYw72vvgacNC/7L mh2Vq1aLx3BSUcyRiNMsXocSUUoPHC/XMZ+LCRkbSPHm8EaCiJ4MGTLuowSqPgRw eUCi4wk1VViGAX4JgYippl3s158wEcLKzJXuaUz2opjRK/FuVkLuL9kj0Fam5r9/ WQqh0RkTp4IKEsffGR5SQMy8ICLbg7f31XkaE7VXVPESL/eYIGcWF2MvojOclKDy vKQs9FW9nZkCQLWLQNWIro/hk26n/WBT4h5G1mdXMTlaUyaO1cdtCuiAQcKQ05qT AZ8A3WbJsm1s43orE0Ym1u2NrIrtPeHz1vyeEuVzvw+hPuQdcg5s6DkSe6Ht+ay8 MOZRjEfkbl7WdAkvoVjkSxIAY5Un7f7C/mgFfQ8A6zwxybSM2weHklYrCI6qXP7x 3wecEfFZdnQIveMm0gPCAqmrhJymlHFwahHoJ6Ubr9tB0i+YuJsGu4/mGc1GWnWu SmolRfoYnJVYFvjqeVmgHTHRQ2CZXiMVkotoz//ugTlhTUE6xa9wB8WokVdlJfG7 nWORv77pXt7MSgOLyECTqsfEnEeAWooAMqKL8DeU9WUEah3vfHZPl4M+OQyJSnum Gw+13h75SXx/DsvKSlfozL9SgojrCcjTp+lwrjJ323kSM93BgbDJdalGiXZWeBLo 4nV+lzTSh4To8UlI1Pf9BllIscaI6t+j8tIMtiWO0KSE0QNlsAiHYygo0jtyswYe k6DFijRbcjXw1PT0qItbEkA4lu6fPi/kLT0T1TJ7hG9IoEMME3wmlvvBg08OqoFZ 3or+gzgUYm/15bUwrFdTlrnOlUMBRc5G4BHn6C8T7F6JqEV0oM7InY05OZ720YmC E+0qrqJw97nOufrhjNgwy4FfC+5NRTwN8oDCxL1LSR1Zu4j/+aB+0gq717peyldQ ijcuyh7+l3CDVXMhS+iK9gUO8HBdPuNAfDuQS6qZI0qpG4q0s0hNzAV69DJO5KnT RitHqHf/DqOVo/JHrAxMDyAGqiVQOE5E6tQ2XdYYAuOZlCWohFZhNfOg2lcio8Py wxIgTt4hUwsbIKwNYnfiFRbk/rH6N2ap6G6uL+KMrhaUAFQOSogzbjLM7Y7D+lGk VEXbN3DMyOBBYL2bwFU8h/om4TR+PFH3G1bYQpV22YUZmzESDECQfm6V+MUqvPMJ s7lIsZsiUbujnguAUJLzZpesuUss+NxnUhQ5TW5dQcGgUhIverHWCY6X5XAwUdgI Ez/s6v7mFMLVOZ45Ykb4MXiu9RfZKKaulw3PayZQY1XmRopfeyjOmEwGV4Tl+LeZ oGl8j6SIwVBdeZS9OxzZu7R1p/mM+1PwukPVRrS/aIYAYbu/ZEOiBpuc9nx+tfo4 DQKjUZof9JR9OksTk9xTr6ITMiyAVhTmAz4rJwqMjjkpV/sl+ArxbjHeadPhXrV/ bcpAdBzRYCE1GjCb3iXE1/d6R3EZu02bP7TlTdvc6+OgfO4FZPtYby7l12k/iIfi 7LxekpvAC/Ji3p/ij/SYP1/kwOJmdwhdoCfepgmTaKhT/BOQXC1reLI45idg4E6s uIB2yfIa78NzsaW2T5PCcvHSwWku9Dh8Hd9JgK6e3UCkEIzjgctAmWQRE4yaxB5Y goIpjSK2VYaxScHO99dJ38WikShr09MVLhhzA3x9PZsj3NfYIWmrDQTfHzD/EYso vp0e/47KiJXjzAbog/FOnD8WUM0BgChldftyUHw9AW1zg80efxqy0TYXPhIHbsPG xhXqYyLh8qmYGzBSfcjKP2sneiyY5O2am/+OdW1o1tOmsKkBb26jDdKVvXH+GsZx hFlHGCcMBF5cMyHNDL2Ow4dKCyoi4jASvjQxNXezivKqx/NjWO+fO4VKALpN7gCF hsbuxoyufiaIaqIGSJmiI8U+aGWTrF/Kq03dKujrXns2l3bePMm9erNd7LT7dWYL NkfGpMH0M7kO1cNGuJfG2hhAZ0qJY6R/fauR+1vKj2CtnhJJCJFf3bc18IsPsKFV a166bN5/I9o3/uk9ldTakMKe++ID9KClFDO46TmsiJe9qyWJCudCIPCqpGSGN2aB rq969dc+B9kFsRHkYYLwI3mCmpWIpp6Bt9z9Vzq/VLk7aOJWtRIVkaZn5bhcj7zd 37OlMuzkK7JbNI25VU+7PRwgSthCAugxays53ttgaXLWqki3OfFsE+6weUaZRzT8 nKpNR4h+/rAIv8lP3iyiFXVLXnncXAFbdYstEdeVoJSNNxMDH57Ej95VbWwUbRTO Zc3iXOk43xlC3+e+cGFv+1lb+MOeFcOa48RcJjOx69OTof5ko/LRnj1irDK8uXxk NdxTmpwkXe5VgjbUxDwJF66ULZ/G043q7Re/Y5buLdlVL4fvzj46MJrlewYYzNPU gqTstFPdtPpTAEJjGjDRIWgZHjYC5a5uHz5BY+MCayyAI/0uRsXqtfZwBc4sXK2N RKT27u+m5qsEl7gdppVEx0Et1554vzQ7KR/tTLU8baOqvm68z8sagwS0MsqWHVwS FTzDqKsuUmYf0xSl4+9fnUWO8LPYUgDx+OvWBaF0Y9LrjpjHiJggMiCUA68qwYXO WzO0f++viXLVkEYjjDcJQ+ntx/tp+3jGfFmnPLfv/pj5crIit+6th8xfxeBxOH7Y ntjin5DP1POV0gD8+typsYP3s4Ce5JaEdZ2qCZFZaSCcqzrAIFzGIz/eJli6VMk/ ICXjoUJFNGnuCRov9AKlpLdFqR+EhVZi0opBcJIcCyBPf/ltan89CwqdJaoe9olL aNvUUGgQhWJ/Rrooz/EF2QbgABgHuqPGxLioByZ5QO4Mcqd0eJkMXwfa9l4L2DCa PUyKF0K/Jy0pQTEEOBD3TiraUat3EI+VkM8eLgUqjSFuB5m0WjEa+SzaS1rgXSk0 a0TdYreqngklxOzeS6j9DUbIL0L4nc63uWoBbiOyQGqydDgDBfQpUBHcqqGGmrnd /1IalcTRPqAsIuZwmkvv20AHOFNMkO5PPMjl7zAn9EsLryf9UcExZFkVY99ela2D ABet4n8MHY+R7Eums5p03HIR/BXYWttQ+2hWjWliKkdF2k4e+llZkaCRgd+Tw66s UMIABHQs6x8lQrki2SybXq2GK7ctABdyVgIO/c4kRFHQXmaNQvXIieNzn1BH1sfa W26V6Dnrn8tJVwHT1cDtpNx0hbdG7j0GubBhk8u1bYBRptkBKHjXWdM1ADg750v6 ld5z2+564SC1axxC4A/EJQ6yQBtpt0ac2spS+4MVkIECiQVaxr2AORFema1BGreF HGSCxwQ4E/2u/OWd1SWYX1WiTfUusOvqWZN+oaNfen7SAuD4NOQbNYHSbz/EhJlB g/GX07hmLZJfxT+Y/QdTRPuK1mY49m0UWuuq3tL1xU+RVm2dJLq1lkZ27eUMEjGI GPw14uGQkeDjkxWDWnE9fF2UFJs6lxo80bXjKiNjpt/zuWlhPWl3uAzgRozhOqF4 7TzknWYBvYsbxOeS79/HNcndK7giTOOREooQGq/jbffUYQidJ3mFkPu31SDGkKZo H6CiPafDj8aTmmnc8GavZOa1J+eYGhxvOBDrMqHCvg4d75F6YYdhUo9loVfcrz9I a+gPV/p8nWRaFDU31+0e5KVT/4+F2F2Odn9FBdqILE72UdqFQ9fS52MSvSUc+Dn/ 9JluKOfVeyfF4Md11okSBvaAZ5SzkZqVeyRXfwYNHXwdLhdi2czlkhH+wIj6qfMr Cu0FI84DwklPl3/2+9pWyGmOpTFR5jBSp8o1qrhukJ7GydyPnKTsZ0Nhh5rn5+N6 AJy/lpWvWZwVk8SQ/Nbu1S14NmkXsXfHJ9neRT+BXBtGBI5dcIdAOotWFBcqX5u6 UYqCmSjAqEBq5JYUlFF6yFhYo2PL/DHPYip3Yyi1LLk4dLP6cc468bnVmH1CGNu5 sVWkH9mRMa2fuDuljnMzY/PS0UBlLGJJst6GlPXStPx9bSg2jRgj5LWqLY6n8xN6 7U+4pqCn4g4zVKFwoR6UudrNUsKYJQn9j6sgBqyi+32jA/gnI2voUyNENnR+D9op XGIW7uscOTwb45fCAvDQaYCnTYNMGxpnbgB1sRvjiEtxSMv5CDFqHCvejFzrwlqi X5UIw//LA+r/J/j/BIGxjamhk4u9raGTNRTU/wDaq9cwCmVuZHN0cmVhbQplbmRv YmoKMzAgMCBvYmoKPDwKL1R5cGUvRm9udERlc2NyaXB0b3IKL0NhcEhlaWdodCA4 NTAKL0FzY2VudCA4NTAKL0Rlc2NlbnQgLTIwMAovRm9udEJCb3hbLTMyIC0yNTAg MTA0OCA3NTBdCi9Gb250TmFtZS9DWk1PVlYrQ01NSTEwCi9JdGFsaWNBbmdsZSAt MTQuMDQKL1N0ZW1WIDcyCi9Gb250RmlsZSAyOSAwIFIKL0ZsYWdzIDY4Cj4+CmVu ZG9iagoyOSAwIG9iago8PAovRmlsdGVyWy9GbGF0ZURlY29kZV0KL0xlbmd0aDEg MTI4OAovTGVuZ3RoMiA3NzI5Ci9MZW5ndGgzIDUzMwovTGVuZ3RoIDg1NjIKPj4K c3RyZWFtCnja7ZdlVJzLtq6BECzBXQKNOzSuwd1dg9NAI93QuLu7JgQIwSG4B3eC E9zdQkLw4HJYa529k7vP/XPH/XfH7f7zPW/NmvOtWVVfj6alVNNkFbeEmoNkoBAX Vg42DkGApLKyPAcQ8PQMBKLR0krCQGYuYChEyswFJAjgEBDgBSi42gM4uQBAPkEe LkEePjQ0WoAk1NETBra2cQEwSDL+FcUHEHcAwcAWZhCAspmLDcjhKYmFmT1AE2oB Brl4sgEA4vb2AI2/pjgDNEDOIJgbyJINDY2DA2AJtnABmIOswRA09r9syUOsoAC+ f2RLV8d/DbmBYM5PvgAMfztlBDz5tIRC7D0BliArNHYV6FM90JOb/2Nj/xtf/5lc xtXeXsXM4a/0fzfrf4ybOYDtPf87Aurg6OoCggGUoZYgGOQ/Q3VB/5hTBlmCXR3+ c1TexcwebCEOsbYHAVg5uNmA3P/oYGcZsAfIUg3sYmEDsDKzdwb9rYMglv/p5Kl/ f/tglzRQVtXRYf7v3f1nVM0MDHHR8nQEAYC/w/9mjt/81CUY2ANgCGQDAjmeAp++ /3oy+o9q0hALqCUYYg3g5OEFmMFgZp5oTwfpiXgA3hwAMMQS5AEAeTxZZmeDQF2e pgCeWuMLsILC0P7aWA4+PgC7Jcjexewv/R+JXwDADrOB/lvg4QewOz7tH9Tyt/QU YgF1cPg9ixcIYLcHOTv/FjgA7M72Zs42vxVOALv1X0f7aWf+rfEA2MV/Ey+AXeI3 PdWV+jfxPxVQ+03cAHat3/SURfs3Pc3T+01PVvX/TU9Xid3e2QIGdnT5rT214PdC BJ5mm/9uBvCprOUf+LQq0B/4tCSrP/DJlc0f+GQL/Ac+1bb9A5/K2v2BTz4dfuPT gWGH/IFPhRz/QC4Au9Mf+FTI+Q98yuz6Bz6tyO0PfCrk/hs5nwp5/I3/8xhLSEA9 vFm5OAGsnDzAv5bHD+DjAfr+r4HaELCTK0heCsAD5OfjetqKv1QLVxgMBHH5+wXy dEX+xVbgp1sFAnmALNACuD2DSgUkFoDr4CJ0dDmOVzDjYHQyt9scNhw5yLvMdy7d 9fTHSbpUHo7051KO0yF0LLwv11bWeHU1BXVbCC6Bch0td42CIMQQeC3x+wG+8gWF gdtJBDaRgRP86boWb398/niqEbN3R3s2bdljtVKQ7eJl+tlRfJpQfpVfv5IDHxcl TydfxldF5XrVwBu6K1ejl92Pcu1iEsbI4Gvi2dbRt80t4mgqfvQof+2BiJeMnn81 E9V+L72EnYH1Qyxr/m2SMMRRy1NGQZHjhR53jKKEgEDEw3nSm+sQCcFK0EPJ8a4M Y6rQuFoT8YLNQsZE6BUHTo1rZi+2m0rGqrW/bt+hQZ+2VKxJYI65/urEBuk5dpbm t1LkYoS1BHRB1jcjZDZuk5nGHx4bK0WuuOGqEl8ihwvG6Nx4k1c3S5hKVr0cNGpf huDat7TWXriipqlmM5B3BD4YwgdSfb+wVwgOCf/GRgSBM01GZJAreXZUK/O+oQ7x rfWnpdQeRJS1mdgorPNhKoLYg4WzQyxM5Lr3+UpJuBlWmT04zQBiGq0f1K7t5iFV dKCsNMW0iqDpFDbXAPq7U2Han/DYBqc+e6cYD0xBzA0hcKoAGkH5wX0u+DvKzyj4 nVw9m816R5qLlLozNLWpp7VerTlC/bnnbEEKjdtOSIR26A411reNqWUutHqsp1vL 2mHcNiUAZIk2b20WuatxvVZKbqGpJoOOHLEzUb7+s8to9Ch1rR8+FOYH+kHWJyIh JCKWhHQWyQYDDaB5kNgUwcrBFmMnCmKmsUuNrz4Cizb+84yez8mO1a22BJkR0bW0 640SQbPHmgXo+QgqE9tc9CScpTGE02QWzOLj2SKjJhs0i5cVRWNRFojeNHpUyejq vpfNn27AkxP+vsljbbKrn7WezwFWX9QtVziTxNG3tUDstmIJon0rr/DL7jjHeJ1d OrIXYtB2mklHlkIWFN8QCrYmXU7EERfGW+bSkKARCGDF9tpFIX6fcDNvbHl8/fp9 6kyy2ztdoZt+eefl2OjYbJs+1pe4HMQH+Td77K6ak24DhHCc3CXBfHOdfJ0nrd+K EXWxhUbfqr+BYwVc8d6g2HK6wzycD5gtS5h/VmEny2NzN4CZUFYVACSi2EvrjnNv L83fT4dPfl66eo/EkWqfHKYg02daRVeE77ZD76Rxg7orQS1q9GZhMKfPPXpfUqa2 caFQYk3S0X9pWLYTl9vbRJAxy8Lc5Afo8+HVN/cFuINXQds3sfgIvr2lGt/qV/j7 Sj+unmh+H7aHtxmIZgpbTqN/u4AX7I5R8maGj9sP/D1V6krHT/Cuqb906/Vl6o2m B96E7CzDSHUaVcGUXx7lqr0E4+z8SJYXn/iArPO9bnxd8kBKpJp/EHtJFm2WieGu 3GQwb4U5IO/m1+i6EaJXap/il0d1WpP9UCeJb87oggMT4X5a7/lQuskEIYWmd7lT R7BIE8DHzevuZmR37k6Z27spj8hut0Bmgdkr02XqNcu3WU4Kv8aDw18P220lM2WI JuqZH645KvG+TU25KqSJQQv6Dqrn7ZJb8/F9hcZklGecuytBhruhv9Qo12qsl9/P hTaWHOIrpS2u3uEubtlrXeEwtYxl/TxzEAzXLdKLjpvWg6aUVf65w043M0p5vvzN nNTBCspnA2s0W47eMKa1d8osqx8HE7uaKu7efuuHS2aqlBf0O8l65RE2fP3SS0bH MTMW64qOjtZhzPSkySukQ8W4En+PRdAIO9TO7hrpNmYyV3fI/i2ta+db5nvZeKoz M1QyivTS6HYXgTNlD9W0VPez1YIq23CNjmf2tSgP10dwLjJU80tUR5wlTkSxPvut Y8UUKNtjkr2U3Znc44udkYxOIGfO1PzQUaE3JMCjQA5VL71+B9YVpiCwyqRFdM18 vs9Xv5u3QG1dSXigIj8uZyJmAWnvY9NOorBigFoVtI3+DTkjGPEz1zwxdhB6++YV bTnBWFY72875fLl/UUKoQ61F/C0ZjwJf40mHw3R1XUOpqhrlat3QohZ5/6Mb9/WB TGsOmZra/ovo0nnhC1RXR2Rb4o7byZtkyixz/5SCNpKP/qLWkZ47HjRLEXMc5IJ+ 3aU/dBITvMWEY5V8EICBr+ATWBs0fO8SBtuQabHUQhctoxN/PiPh5/RUItjFrAwJ 2Kvye5X5mPflyF88zmn35Ppay10gYSj3Az1zoJwZ8LOA+1LMvJZq14+I7K+4TkJG 3gIYi0D6KdC3ZtfRVRgNPR5TdkIykPVStLRt/2BVm/pNG0eGA0Mrv77QVsaoW9Ge IKkQtIK4P3JI+r68cb1qoTPaVCa+kJ9p/mRDRxREt2+45LSAjQv7GKU7UhO/nrZY yZQE8dxF2Wzpxu0PdX1eMh110WUVXqd0mEywW39fGdesoAPrnKGcNbetP71Hr6RP RIOP1SstX8rZGZTNDf+4fLqG0UN6h5iJoYXKb8Beka8TcxglLq1f02zW5r9nWjTT Navf3CBIslDjQhIOZKVn6ohy2ZNqNV/mTsfdgtoiCr8qyfxh/LPsMBVMJHalaKz9 vsnQ7lPCUS0EbXMhO+oslzWAOr5Igef9BExOgGA7sBAXUzgyo5A3sY5wemLPMtrE 4jDGf3ZKDdUq0tPnffu3g25mnpbEy9RA1WQoT9Ns/cUtFl0Xi3+IKlGY+6v3EB/c hNOW2Z8k2yMl09sLVfgFiqY47D7HEN9LboIzOq+Kb8GZCgOYMuS/XL81CjxMo9cV jGiasMsGJGTdiVVWlmhbte9eKKo8cGtvUqUG70blfAUu4Zp7aFRf1Gip+5YXRF5Z G9bu3rwW7vu5JpvWwjUgGs3sgMRzPmsRvng8GuDFOlqiLC7Ls46tWTm8W8x5/VG7 h5gaj6N71g02RQY0Xd7YrGfM9soJ6u4v2jGf9mLttm8b5qb77CAS3LjwlTXacLdU ZO2BYZRrtTgSiNcfoyq74zlWOHchhk94Xmno24cks0gpmcizvpbi5U/Ak5rc+KGe wENmQF+i60IXJkjgIhX9ClAWY/D1dWWGyE7sM/wlU4y4tBLKiRc5BRsESHSCy1+e C0K1p1krxVg6QiB88HNIw+SpcpO2khRzUaz6bWLxLG+WrdW6Xr+RMY3IbOlV/aBu 0VLuNgY6kHYdmgYJxwj26qwwrMqEEim+YqTkv8XLICRU2G3GTbgKjoGxvfeNyL1V 8aP9CutIorimp7cIVnIkPdZOpen1UWqfbMB1m7P0IJ0Ud1us4vR/l6wMgdAjW48O 5VgtlerAfWZI+7DBCfHHMayx+xIFYxL/sB2nCZPZ0CO7pfuh4DyNl8+mQN3T4rxB n8+tiP+MitGSS5pONLVDXqet/PQjLxLRcwxiWMgmGxg/4x4/CFXwGDFEPeS1pSLk AxGbEusnyzabnUZUpEeXtv6uoUu8SaJWI5F3M70aS0R24Uo/pB22wKHHHnUMO3tr hzqjX/GhVaHsgMuT9nkFe0QOm+rx4piKdtiuSIGPzS6fRSSA1PHOo0QS56YrD9Py nLPuPb5mKzVfEZjn+BD9R5m1+wZc8mV/4KjMKGI/XVmDy2s1ek68vimxGviV0+GI OnjKXxW8eB9OXu2krEE1Lbkt1SE0gDyoxuvvqvpDTgEnvsFlM9k6TJZJj3hsjM2b Cpf+X+N5X85MDSToZWLtQAzoIs/RirPLHoioOlI18KN2ftK7ZZ2qn8x9Y6mEC/Ri XKVYZLYvSAcGYaIeJ3xFSSAlxHsbz2uF9OUoPrHt5KjMvT3wODDdkDZEityLOLjC Q5N+kMuM2cevnD03AqmKmJmWkM5JxxpoHij9vKGkem5EWKpqlPLXlK9ZRJX/x6NP Q7GlJ3w/gmYUSc3WGaJjmURrLI8UMykaiX1d7Wh90u2yPu1dGvCfM4sxQVA88omP 1IT1h17WbR6mfW3agVK/EEnPW+kTP7XOEW6u8Y1e2Kfd7xWOD8u1GfeLwmI9ND82 aS6pa8tNcy/GeNhs4zETGDL07q9vcYXxbcjZI22EbCm4pZnG1F3VjKkGWTO2sNcj Jg2lNQ9X9GqtQCIz1qoaVCGTXc444BkHxS8om11JTI/w0eWLV/1rX39uaA09t6VR vecpO81vpXiuVlgkUSCYTDdPvB06qdzk5nCHr6HTiilNTYnKUlnH3oiNAQlrItz7 BC+VXJx0UqyhQ1q32o6Zz91FRQUflo1LBFkttXit9Ezk8jgtxHq/E+8VGgyrlE4H VokJgLGH786ekaS5euY8/SAen33QC/DLZ/pgatS0gizDIbSDHbgWM3LURHZqTWNz 2vFVe5r53UFjDlh3uv/pjwWafO0XstRw9z2b/TIDK6JTcmvqXvgtm74Si4au9Lpv ovi1wB4PkmFez/RcAoJeNodHkww9f6HX8oO022TCnP5GITBBdJwuzlpoNua6B8r4 QNRyeuBdmVvArrD2FHb6dqqD/PJ0PQtMQsikML1lg+PMtuyTjYMxibge4xAfsx12 OeUNdTrLbg/8DG03BfW7yl/5Uf7XF2SE+X4ru4NoeHRCdGtbmewAjZOBn/lQI5GY k1IS+ngLT62dMeU8nfnu6r5Bhry4GpDzFwTMn25hh+J7Kup4cNI4a7kjovdgheUI p9TJ7nP9JZaHdamSvZWBr6fM4g7mdkbucqHHp9q8VXmWAy74SllnXpAMFuSPSqrP MMsV7LC0oR1Zv+6e13eLz3NCwjvjbkwx7XE13AhOxpKJZc2zK7i/vUnPVZozPOWv BaZPuZGxqxpt7rn2Dg90zGO5Fri2dvliuJjla+vl3Eu+V8H49TKg+I7mCGN8os2x iyZcl2nWeGekXdsBl0EzcixpJybOTiCfyDllpXZEn9xbduEme8bBmr4JgYncY+PG zQbhhwm5hkesQWh/uvXtTBcj9yWLjiJt9y51yvhLpfgCVctYhDBkRpttEMWqDwt2 OykfQ2VSDnlX+PvuGn2Z01Dk8C/zoZuUvrio220GYleUHl3Hnq4O17Y9q926mEX5 t5+yBBhf3drE9YdOx3DJKdTvhShfQxc2VqbVvw3VCqrNgcW9bezznKMb/MojvgeT SBJy6cfQn9IxSFGWYbVyr3427jAJU+TNjSzYD60BhwAJKAZb8A4YLatffgRPyKvq dBpWFPfIRGd7oq5qQJIKCAP4FfObxR6stq8ClERnLMBOWuOCX1XNrsjCguNc8JDN v+bj3n/XXu6qulsXKohUIeGr1rSK1uhx9PGfP/F5mZupPph5OrwZlljNQzgp8Vm8 eIdFoHE5E6tQGJ+8VE9NM4UHuOR3rxSTXyZsBvWSQ7xMWmTiUX6NRLOw5dhwnjHG NOWNz9NpjJWA7sUcuGaok/D5NtzJyqaanJaEsKGYGlOFTw9BHwnv0d2Cm9YXoVD+ kNKEnQtgkWx3qxdUUD36sjOwbq/vwIBBnX/xTEyTVAjUF5WeRaUBfH+Fh5NAJopi rKQQSnxlrvqzEmWZqB9lXbT9y52vCv66209C7UJRimsKb7fvhINLUkQT75Eze3oM YRVsCMIqxv3lwpax7VuDy85bhvfULGTmZJsrRWhRbvXIslWq7AnmVAx9ID/4c2mP M4bjNVWRLbn4Bjr0+T4r8NpYhLcFQhVWOWqCvmAMIoaISTRg85tyyU65d7l/8IcF CniQN97a+qKs19R9j4469u2R/DgJ6omkVVqsJg8hF4jyjux5drPIN9KKHJQNt0eV QJ/Rrc7KLLawS06mt9uYyKKI7kKZKnzki/cV/MogNVHSOoJtwUWTI253t9tncmuo uyvdJNkzsZoIKGYh+Uxk4dLN3gwtzZkC8uUzWChcA2/6ipRww2Ktny+e3pTuT2F+ BTPoNfoZjSTQNR5k99IUY5tfzU3aRJE+j8si6WpsEIodu8cT9dUF36yCXjDx7/RM +ErtjkXwVJU8a9/jx3YUd0CF97eiKLL8SOchw0pOs8AimhuWSTyy+sku2GckcPLL no89+iOVdi1asWHvPCzwZ02XMZwtAPGHnOjLvF7apLwwmYp3PbICWkI26J5Vfv3L bG6z4TijTGa22/FCAXo12SW6od4fEe6jS4lf1lmgt0vdoagTIV/0kHTRpDKR9xpy 6E3ffWDr7sXvHqc59+d1Wi6+ZUJi7z1nfDc5O02e9FOZqCs6BSuhRuBT7xdJlLWO 86kGu8PRAjNCAS/EIWt5iy44ZjLfpB8Z7Rks1h/qkLMIn9GFQjWWCOHgDY42lYis kxLzr2pQvhfDV+dNfNZ2msZLGw7JlfTbLChsIp6dWd69cx58LAuYDT/FeCH4LTEQ BcJSM2WsUvF6Pxq+fMLNMnEhCtWvJ2hhY4LYP/jxFmG4wPdTtw9rHpA6+CEiHdqW elWahv7DVr9S4sRUxoQw8vCBgECFYYtqkMwxA++RBIu/E6sR7/FU38k07oPE+Dbj feQp75ggsVQvx4Kb/rCnvMQMmvrSUkd3dtUeYbjL40Z6CqsEa2zqkrT58ts3NwbF XBXB+1RWs6EslLWSiXm7vouyIlqQhHB80i+LwtpF7054CfTpWny+U3wTOw55qare Ue1lFd6X7zUwMtENXbuOQN/Zhnhf0epx6qyvBGcxFnnO3LJSmYUoHS+2nCGceyEl NEliiHtXc763u+AqiAGdpTAIOXw5GkUgS+RoYR/2/3mrO7YLBnImj3IJoh1x6IIr A8F5Zjmj9SZvULqCCjsLqA9eTMSJ9gU3tCqnAQaEnRfxTj3VrXU+SrvsDV6FLLZa jy5HoHcLs/ThEehdyBy0pm8fLvLt52UOXbwLxTPha4xyvOYcMm0ouzA2TxI0gxYh Vl0j3VuE2QMRgH3qxy3fVTScycX0Boa6Ss0PJj30QMOlL8uKX2uab5Rz4OP88Pwy qrYC/LoR97WSgedI9Mvj950FRkPu7nR2KXfyQ/NQfohXWFiNJIuPyvV+3cnwps2o OhWOs3f13KbsRZjpszfPMtReFArmLTB1ih2WouUskjgCN0SnFTVT4flgJj0odwn4 yvsfA6nqZQfWGF91ofKsdTXMjw2obUzqnV8ndwg5Vjw/t72rLv+lYf+adL7LaHwz xT2WTwNNTWTuHIuMnrQbHePgc8yl95k/7qXN3VhJgu4z7ayHCfNcaU6jB/xEdfxx UCAuFkxM+HBD22Qbo8zRudPiIG06MNHqpyK8B4vOun1//Rk7P3ee5Eiw0N14l9Lz rJfEd5GWakjj1X66IQQr36wsacKWdG/nhbx+mrscZSDEA6C7U5xGh2VbB8MEItty ixj+TO4JW/FkJvVmBWMnRqsPpDcaaXKxRBYE0gDkomuZwhZF5Kj6g9TBDWhE4SRU hI9VR53Wz65MnavIM+irQ25CL/2XTqNUUZES5qLdFa8WxkFTB8ekvXd1gTWkFopx dEQ1wUo99ZViFUztiLOFu95yuF3F5DldfqIp4YFePuRkymjpzBjJnz7jjhjUHr8n QGR0ziSP2RuPHCoKrFWuNgnHenFpM2dgEHV6GP288HkEq1Az7gGixpK9NWVdddxs SK0eyJB1nIZRdKPEq2gLMoLGpaHgILCeAB747p3uVqeKbujI+JAalWMh2Pp8yi7M JJmYPWK6WP6dmRGh7lWzWr5PEmo4grsBq5sjfPCNqW65gEtKC8IrWjjxa5/ceNOf kWVX75YdC/SJB5dZqDMAcUQRvBycjcL6Mt+58guczr2atBNnaujW7aIG6C7bL5I0 02ZFinI13Qb1Ev1pHtTlXB9iLX8Qfhbm3q9HYHrXW88aADwvMCiTK32JaxNgRxGI T9ZwbK++ok7JO/raTy3oe0QCynaX3CWa9Tw3B6Fx3Nbbmkfjaa6fEe+ZvnOaIunH eZzmvBvZ26zF7nWZO8uY/4IX9uKOHtp4fGC7YFSgkMBlT58tjLONVV7lOF7vmq64 qrZCio8XgX489cmdj45Y0sa90HMiwVdhn4g2pWta0WiwUCjfVcaS4AJHD+W5eTdP rmYrv9QQLDdLAdxU+Em66IOorxtErWaxWovmSH5UHTkAzV+X9ciMhwFBPDuZsuRr hiytwwZATL4N7XvHw2GmQ7m4cSRGHNev21/PaVsRjvxwxA5drWuKfHEOb61ktUvY QDc8xlSuvRODgAs+z40u+OkPD1M8saQUtI4KOAOKsqJtHSvz3BFlF+Bwbln7zVOY ekMyhwgl9Do0ZfyBRrUOG6nKv8lEQH+X8iRslGgpTNU6peMwij2LIwIcE55Hhym5 xod4LhwSjWxoKxtxWegGD49z71GWgUDEedZ/QWFq0Od3OO4PcF5espceyv9lR1MT DYRNir5JaFkKGPnmx50jZExJKHpU2dBGNoIOWSfOyk4YuScCbcxsMfSrIaCQid4T YxbYsZFCU0TKzLn61C3IeenexFTeOWPxMnUh7lO3uVOdHUu+KCu8lbEVrMD/0Jtu 3kjbSnQRa79EnOCh+DE3OIyvSgxpPU8s1mEOhC6W/e0dE1Lkp8lHfy6JVAwGLbOL Z2ISjbX1TE7JUsIRwlYmvMIXBo2Gp4z7Cf3HPBPv5nLuUyO3ITsVhpYZJPoG/jWB xF/PCr9KXIpknD3cXQScuFphxTt+lRdf1KuLx+vLewWFx0wsZhJVSCFFmlJZBnes NCETunT5V3UHeCL3oFotYsUibMG3lDIhhjX1d39ZYn1c7jxn/GGRakLpPawd2ubO 8PFqSXRr5kb3ejWBHffqfuaZoa00VrXfUV/4YCWbXYmHmQskgbiT1TiJv/zAXCFU WyNF6/XgQy48IWrvnDx/0jFY0GWeHA+4H4Zrj0it515s2IMk7tRK29t6ipnCdZr0 +N7KbclIt6ZBPZWJAvf7A4M2emYb0fDjvbAwsSpcnD/y6juTyTGWVklHEjwRplIO /+kh8b4Aqwd0Ax/xse78ABdGRi6FhyI9Zc5457FkIWbkJKqYkUSdZnr61RbTPBnJ kZeZcB0aSDN2Q6qBzu2R0j6SivIi+P63WwsG7JF5HdHLEkrQcXFEyuPVHTzrZS1K VxorNWUdvTvdmfLEF/yBVHbIeidQ8jSP911n3/tM/Ne87ncGaeF055xJ30kNmCL+ MNr1k4a18h9E5D1kuXKrqdoNydiwRRbGynKbJZ8AHSxBB+xMPJtQgZ6i57WMltJM +9jB9MUcC+49KNMrtD7Px2Pa1nuMg9Tmd6yduPry3go72bv3ZVYBN1/hiVkLkj8W fvJ7ZEupcQeO44ssPc/EJ0M9sW+HBSt2Elmktou4z9FQPyi7ftAs93qWk6edziLr PfwqrowehSk0TVPeqUGrG7VFSLb8FuPIv0GjoNF4qh+Co/xRhR3VZZmhebF2gy/T 5gsddQVc8I9SjqF8ojg5fTwcjCiMa9aX98TydtWqsiqVdDbB6jQZm+OF2cPHaK8M 8PLbZ9+fgIoeRGLbFvKCd6gKsWr1pPlUHHcJVytlBbsmuuh+PRP3QAk15Sbd/F7u 1qHyCjc3UGIjykiGeZGi5LZTNE/oIeZFY7Otsfj78PGUYo0XItIJce6wdRWxWydf T5llNNiXk8Xxeiz98RxkzAmBO3M6HM+UksRMHem9av5GMjRXzwSDJYbbyHnJidhP ZaMBmePVAeNrt8EZnnLwyX3+etVSrTHzfhmRy4Kp8s1DNl7ZD+ER7g4GU0id7FMT HxPykJHDMI+ku6NKwuylBICfQlnU8TSCvva+eKF6aVwjOT08UdhCIU9V3pA8JtrS /UzV1ZrXd76NZ9/UqXKCM0cBxC505YeoHWamCVbOYwbiLlKOH+4HeTh22DGeSGlT UpvHFIq65M79mH0o4RT2f7Nxoc/xvDfvcSIYTtJ8WslT/qQFlSWjMz6OevoqJ53X twzV6ZjIoYgbz86iML7St79vlGVyywDOMu/m7a/qTADTFnmr8tnHhXSv7gekGDly JZrXvgA2R7RgnrFhW5v1TtbcF6iU8BO49uIDz7jphgzX4jyOztdiKNmqGa8jlhmj TAr1nN5otOBwiS97+4Zldes0FcxX8Zt4zHx+f3vOvTpU8IZSf0ugff8Vbn+FZr2/ Wtss3uTyKdFm4UCwZffLKScKDvnSovyrHW0bvM8fZwchvqXMw0cWoxeLCJE2qZ/r yDJDiguOosgNrEzfHKC7YOrs6Jtt3kiy2ij6HSWJVBcW+LkYopdxm8asD7NwJkh+ ivXc5w9VICw96IrfwzX8FlgxnxiGeSlKoMLPso4dIy5X10RIiO4RJ2HZiuPBcpCy 56BRI3v5zbvp2PEMGMAp+XlBYBe6bootNXVv0GPbMBkpmEOi+OuV2EqOP50tGoEU 5vq+1qcXdbzC6ZgR2+71OFp591AljYeON8h92kXNERdUGphkeLSeGGIvVcTCDrt8 1bdaA9x2K145xrZ0wIZ88aLCNRxJ8VfMleqbFir6kpjrleEoWHYxc4sSk4D/lx+0 /5/g/4kEFvYgM5gL1MEMZoeG9l+TAPdeCmVuZHN0cmVhbQplbmRvYmoKMzMgMCBv YmoKPDwKL1R5cGUvRm9udERlc2NyaXB0b3IKL0NhcEhlaWdodCA4NTAKL0FzY2Vu dCA4NTAKL0Rlc2NlbnQgLTIwMAovRm9udEJCb3hbMCAtMjUwIDExNzEgNzUwXQov Rm9udE5hbWUvT0NVT01TK0NNTUk3Ci9JdGFsaWNBbmdsZSAtMTQuMDQKL1N0ZW1W IDgxCi9Gb250RmlsZSAzMiAwIFIKL0ZsYWdzIDY4Cj4+CmVuZG9iagozMiAwIG9i ago8PAovRmlsdGVyWy9GbGF0ZURlY29kZV0KL0xlbmd0aDEgODkyCi9MZW5ndGgy IDI5MzAKL0xlbmd0aDMgNTMzCi9MZW5ndGggMzU3MQo+PgpzdHJlYW0KeNrtUnk8 VP+/RtaxZpelQ9YsM4MZu5IWe9ZkzTRzMBozjBmNLUtEUqJJhLIku681SbJLZclW 1ixRkW2KhOQ31f3eb7ff/ee+7n/3dc85f3ye5/2c5/2c9/vISVvbqRphCGfB4wQ8 SRWuBtcFjC0tTbUA+hEGg8jJGRNBFAlLwB9FkUBdAK6jgwTMyDhAXQOAaekiNOgP BCIHGBP8gohYL28SoGis9EOlBRj5gkQsGoUHLFEkb9CXboJG4QA7AhoLkoLUAMAI hwNsf7wSANiCASAxEMSoQSBwOIDBoknAWdALi4dAf6QyxXsSAK1fNIbs93cpECQG 0HMBij+TKgH0nBgCHhcEYEBPCNSKQO8H0tP8j4P9N7n+ND9OxuGsUL4/7H/M6t/K KF8sLug/BARfPzIJJAKWBAxIxP8pdQR/ZbMEMViy759VUxIKh0Ub4b1wIKAK11SD af7isQHHsRQQY40lob0BTxQuAPzJg3jMn0no4/uZA3rS2OGkpZ3yr93+KlqjsHiS fZAfCMD+Uf/E8H8wfUZELAVwganBYHC6kH7/fXL7o9kxPJqAweK9AHUEEkARiagg CIxupY5AACFwAIvHgBQApNATQ9XwBBL9FYA+mTDAk0CE/FgrQgeAogm+vqgf9E9G GwZArf8TweldoeBvUBOAev8GEQAU+xtEAlCf36AWAD33G6T38v0HwumN8D/hv4/v yBECJQQGqKoj6B8D14IDWghY2H+VOeCx/mTQ9CiAgGlraWir/2TRZCIRxJN+/rX0 xfyNPbH0XYIgBURDIjSDoop1jozAprD53NwmcEmi+0VuicDtbDV+E3xqRiqppUZh NdlRhuKnsHbUbzBaXgXJNTkxiXS003WsF96AmTTWf6vVBZmjGe2Ndjq1SkfMOrf7 mdQMO2lCg9X1IeFC2okyXajUlffeDXd7qo7iZwvGFV51C8nGaFutr9+I3B01/tTP lVgenxNcyehy3rKCu2SnW+Mdr0jCcSE7QZ9qhYbXo/x25lmUUgMKs+ANXsaGonem aazMubqFC7tPXOwvzz19tpuZPiXOLsOu3iZR1GEiXKP3mD149oF0f7W5dJn7ofDZ iXJXL+fGtyx8y7P5naR6x8rdOen7se4TOzuiTyPlGp87cwSXIiVHLNcIgkw4uYXU SOrl9JsM/Bwv/Dh6Ss2tsjQDFvh5gi9oSlrpyAehT+xUZcu2pHiUcKxhrsD1a65F mURrQ2V72PuXOi4l6z7v4Wds9mG7p7hHMeFl3fENe5Bv3mV/dlfKaiOxKMrg2sXX HQlklag8C7LakrIUNnN+TBSmAN3+tJaG61IlzJQpKKSm3pRb0fMqf5m+27NhWsAy twFSZJQzzOI5KuCXs31qj0+sUMi0xa+GpxJNDaJ2ielFUuyaY4uwXDd902cVXO6S 1zvedm4HhK33VCllpvDWpqhv7pc7b1fd/9bqkH0OLuQmR+R2+Oybt3C3B4bkctnq AdFHi/ElGW9ECb5gYBhtLNdGVjFULcKlwyM3R4EImd3iCJck85GMmrK265abwxyE t/bUxZ6qnQx+urL5NAdpfhcrNfQCq7q7ORHxFDXfNvSKVSSqSgGmwqI/3c3xiJXl 4waqNz2ARXY6zSpsq/BUUKatWruB84ucYERbf1QQ6rz/jWs9p9uLPc2yuMTbVh6p ClkfOXH/mu7qZoNT9sHm4cCj0pMrblsC28un1xcH33y0GL07b6Ivc7uS6lHu4FSO eGpwLu5LbvQbHtWt2Yo4QtKczDBDeenhhblwb+br3+/lLBV+XQ9e2Gcs5GU+63S5 RUnj7GQDp9v1vAP5tZlTloSQu1t37376tJGNcT+HF8uI6zRmYs+f3J8YpxN4+2hV srKo0uGzp1W3rz1wYw9E0B4wrTQ4Z79CBqK8ZUoOUy+cHjT9LIMyXhmI+8o3xs8W 7lo//Kp3GTKwIivf0J/e0ru+4uQnGK6l4SV/yHjgVISYy32JL7UuBi8y9ePMcllj nraoDHsW7tDORe9yWnQKfJjVYB1+vvZW/cMFDQX4uRp7yaQnI39VQvxLGP1QTZly dUXMj7xaqcS9mDQyyXvTAzTxUaIREzdjblvZRqx/NcYVu22M4WZiP1YZx9QcsKGc HENWpB2TzkYgnGcjgitH5292ZqhVl3Z9F++DmNBOR7VyOq6jw/vGpPfjkC73YbS5 2SdeMomfVJvnSzZ9D4fuND4bVZ3p9d9yurs+uq4lUCoqqrGgyNSti1yRnm4RMxOx zZuqCeWmtPZOiapXiF09Y5z8WP4Wd6i94ED7MlXFFWntom3u+eYvhpjNYhvRJpEZ tc7VZ6ujSDYeve+VPKK87A6mHdmGjnaMzx8ngTYJ2yG5wg+cBe6wY/ZFDdVuWQVg epSx8Zhm4IR3PMzDcEUrRZGwPCK/GmhGvWItlXXfZKayXQ8fXhG9Ueop1Lh47A7K mOckv7S3xQXxRaucO7YEqmyeRVFab6x8R65FQZMBcIX8MPoGLs5gNTu8QzrIrp6/ 8Hr7yI32ng77Qb0DTqn9lXXt3Xvsl3h9/EW87pTpH/i4NRTbgO7YzqmciLlEYtQ6 lrmXGhRFbdva5tqocH8ovfaxrj1VsIMlrLE4OgWvELHZpizu6mqkNZoN9jbMts3s 1FU8eBQBKCdxrnUeWj7jOx/v9D1baOYYk17gbc4vLRZpVuUTRrITEI+Bq0+RjjTP pkF9w6lR6Oentrg9e02moRcG075Vbp+/l/dNVlFoPPakkdT8qKtz7V4Jg3fZZ+OV TImPqeIkZkdGI47vbiHL+FKm73PtD6919tm7907WziRFHNPnYXFX+GzQ0+VvfyVa asSDN205tu+eT4bBaBMqoaB4nJNfw1Di8CUfyFRRUPUJ6Uc9UkPM3asXAxD5e/dt vc6osiGzWXMLbsUFLFRXIOqjRQu6M/HcUyOdxDej66r5+/wO8iW3LVQFrR/giNsR sW+V1dFNjMMKn45FWZhlCoYuefyV4bvjwnOHwq8TdIChJnVBWuBJbJMhw1zl4j35 9M9o1kavVYzJc1o621bPTCkXH7TM7X4IX3TZEdL1tC9w947Oq4XwtMCA95LxU67r 70SabzY/kS3sL9z4Ijpj3SAUFpJoLSHf3fYt0FltX9dcJCKEK1P4JYpBd9nmndaz bJbjUrVyFLJHVMpAQXXnYs8Rzn6SsX0KQ7s6o0q+yEVVgvUgZ2W4SRJ4sfuy1cHQ W1TlpLluJ2p+tVIOLVN+SSDhg2V0MLOyYl5zF9X5c/2UDCcj+vLFUO74JmevK7s+ m2MKVVEWarAYPealKScVz0iFV3FinBZSDKbUWcsqZGCFUK2LU5PwguApn4LImFVN xerxyPSsvAxSCSH92uwoUlzRNTI0zN4ibjekJmHDwvra9/2+s6/qlyb0ZPRusbVU 9qJlCjHzl5wog0tZeQsGc3UT+0QTp3FjXoIN5drT4ydUzcEn1iYOr7E2Mt16fXK2 HFjSVQuBySUF9m3r8ILAwcmDlY9V5zsUyTerFkPfDX1DLkHvRbSP7x2/ZDwRaTbT WMrn/x5Z3tgxnhQbtJHebXzxij7lfMUYhLFa5SOM6xXV1HpNOatloNVFUK8z+5m5 A40TGm/4SGVdKCes6LA82XFL0NzwYXHzdNjAWpKusNj4QtnUjQPUWyL8kqSYQ+KP kwhzG7jVKZHBvDCDo0OqFreppXZVDsnyBfqneJJYhQxhzf0vB90kqkvitwy5O2hv 09UNS6rS78Dbh6PJawdzMC8lNmkZNyxSbYcaJPhoGuf0s8Ias1wrujVUeMUXJ1WK GIq91RWRueP+iXKbTIMnrCoqkb2k8sPcriqsRZLLVNU8cXbdVLHqOSr68yu2IL+C m5cVA+BZ9XxbiWUB6Y2H6t0/Es08HQr6t2P6+Fpf+CTElXFA8chtca9xCXzbSBzb uK2whlRtCkb2O5dyoLbbgc5k+4cXF8vQS8V81ZLxb7sk5JUMZkxqXyjVUeqWZJJP 3m6XVZ7kmEMsSPnJO5tPXgUZrnA9bKQx1p03qSgqy7VG5MjlJ32+pC/lni53y6av VESCw/L09lL5p/ySUFSnRJeYuchh/10eoRybhKTHH1lDOJL3Ju8NfLSHIebupwc8 X27MjAenGyoDvQj4jSsPmZKamGn4VHny+y7X7wxG2JMjkqm26hSk+558fvJ6nXzj gGxvnQOH+P63d/G9GseqNwVgzzRaDRE65fejfbMFwl8n+jyLP39zm1PKZjnulfCm 5I4/1FHgbcoKY6tGVtpBO5UFfm7H2VAy/62XakKXXl+J8X/y7QmvaBJc9rTCLd5B IpkiT9iKNocTPPr6xKJC9GBk/5y8ICkGSOaHvBwHlao2OybfPRas0K/vWQ4Wn2Ub WQmrCiua3kdBrd5Uvpor3XCs+9wcmsrbwihuG0w2dhi1uc/85LlMQ+C49dL72dt3 7JgDg4ydntkZDeKGx1pNWpo0wa5D74OFq9PKOK+WCqckzIXYCkcfumbQoFaZ4/Pi yDKN6i/hUFaiAZ8OV8AU7tSgha726KYW1XhtMzQ9Xg8V6R0nD7GkOF0IXXm3Crk0 HFb/IXAx4UzkGQHr1DPTzkPDwxxGTtkDGYAYTK5cVT9uYr5esyVrszJeydCVtqbC zm+WW/tNJ1VcL9FIHTGi0b+5WdsGHdnwNyosfmF9UL7VEVd6gsuSJlNkVs/nkKJ2 FD8elgbTnjNtYiGfmrfhsl23t2s72cQqlHkrLGe1r80I9r+8IP9v8H/CAI0DUUQS wRdFPAeB/At+PDYsCmVuZHN0cmVhbQplbmRvYmoKMzYgMCBvYmoKPDwKL1R5cGUv Rm9udERlc2NyaXB0b3IKL0NhcEhlaWdodCA4NTAKL0FzY2VudCA4NTAKL0Rlc2Nl bnQgLTIwMAovRm9udEJCb3hbLTE1IC05NTEgMTI1MiA3ODJdCi9Gb250TmFtZS9E UUlNRkYrQ01TWTcKL0l0YWxpY0FuZ2xlIC0xNC4wMzUKL1N0ZW1WIDkzCi9Gb250 RmlsZSAzNSAwIFIKL0ZsYWdzIDY4Cj4+CmVuZG9iagozNSAwIG9iago8PAovRmls dGVyWy9GbGF0ZURlY29kZV0KL0xlbmd0aDEgODg3Ci9MZW5ndGgyIDEzNzEKL0xl bmd0aDMgNTMzCi9MZW5ndGggMjAyMQo+PgpzdHJlYW0KeNrtUn08VPkeFlGmGkva JPEbL3kfc4wxkUuTl1AjL9Xsep9mznCamXPGmRlMaRWSWGmzEr1YKqtSlBQ2q5Zo RVGS14q224syFWqVrXuw3T63vf/cz/3vfu75/XO+z/P9fn/P53l+ZhT/IFsWH9sI e2GozBaiQs7AnR30NRNAVBrJzMwdh7kyBEM9uDLYGUBOThBgyaMAxAA0prM95Myw J5HMgDsmUeBIVLQMWLhbTnYxAUsM4wiPiwI2VxYNi4klPK4IBGE8BJYpqACwRCIQ ODkiBYGwFMZjYT6VRIIgwEd4MrARjkJQkt2kJh9UgAHmNMyXSz5SsTAuJXQBC0Kn JSBU8jFUpAB8WECy88OI22BCy38s69+o+ny5l1wk8uOKJ9dP+vQXmitGRIo/GzCx RC6DccDG+DCOft7Kgae1sWE+Ihd/zvrIuCKEx0KjRDCwhRyoNDpjmkCkXkg8zPdH ZLxoIOCKpPAUDqP8z6UQ7k0JsfMI8GF7eVlPBztN+nMRVLZOIYEB7VP3VA19qgmT cCQehNCoNBpENBLn41/YZ5d5ojyMj6BRwJ7hCLg4zlWQaMQqewYDbIEAgvLheADH E4rtqCgmI0YAYc1WIMBw0mSqkCME7MQIKpdO4n9CDsCOKyX8Q6RCIqnoT8wygoma fJkwDsfIiQA/MnQ6MYLjWNx07B9hh2XAToIjhBX/RJyAHYIKEBSRKabAv1q3ciUW v8WWeOm2TgwIQPYMe8BcZr/1XxvXo0iMHPbxAAwajbYMYk6hPDmOw6hs6skSsXys BQgRJQzHwzzSgYMLkBkRNkusxyJHL9025tRcvd5dnm8efBZa5HcjKTtQPQnzyw27 fr3J2makMC2v5a5RN6Pt0PblmqLGKpd7a02qi+edM8qLLaXb836d3adsrV2Tovpc 5Qgq28ljzy7oCB49kr7hKMtm+Zyyt0MxW17cLXi3OSWyblVwlF55kwtH27NtaQ4e G6ROK3qnbLz6xvUAsrVPLSCWoTLowl5ILim6KT81R2iimaj6dpuLkdd46RfvyYEJ 7ou1z1QfI+/03tdSvPC9q9nXkSnC+kXN0dXVtKNhYVr1QoaNg/tJLC67ItMmsbpB 86Ri29Pb4QVZwuQmlbT2t+JEY92eXRa/zdlH972Jt1f2Hpq//pji7KbMUsoLyoPs O13M42FDmU+oXXolVXP2Dx/sT3fhnNqKXiixc39a/CyQrPyRRpWT+1b7REh+KjIt 0qM+Y74svNK3G+TSZi1QZfYU16l17E+Kihseur9Hd+i9eonUUH+lwUTA31Z1Sh90 s7dFhGlEfyiC7++zqfwx2De7uyquWeuprTT0u+is3rvf63J+1gkXeUMqhd8YuG54 IPUmt7Budop9XyreJKv17tnk0BngsZuSkf9QfT7f9NcTc6NbepjHE7M21fUueH1w 9gyDc7kVUrfShyaHnq47E39C1CEJ0edQTZQR4becPMdS61KYx9tz3I6B2Td4revm Gh9Wtbqn9cGo2/KO4Al55rcaqwci3/HrTXcuwe6HLGYrK8tOXr4Y2ndbFFT2kn4i u95r3dnoL+Cz1wbjrjTZFu89sn0e9YK2T2NdVZ2QsmvYIip/xMaozPi+t5+Nbl2z atKrsq8K9BsD8jluui6PdTZYWZl7bg9p6FUbPk5ev6I6wywitYbxDaTZ16Y5HlNg 9exheOZAp29nphn9pXKX76Ofkh/sG+hPbEzL22jOq41IcBJwnjkZFpfMM/fdk0V+ P/5CuT+oNj3421OSJSu4WeXRY+KYjpnpVPrGi4VNdYcVG9e6blk98PbdRCu1tIZ2 YOxiQ/J5Pe+bpVEiztLmR5yJ4UsSt9/eagSVJcy/NSt5r6R773O1QunMVtHePS0T lZfJOgLh4rLbDQbz/B0yDDTXyqXn9YbohymssQDdJ/WOa9sMX/9AqmiyMhNSX+mE 0jOU+aaaZNbjAOa1WBN7cfdVb74nk2S0oCtpcJahqYX1rT1Wp+Kv4Ssyb1TP1bGs +GCRuatjuTJd65Xe0fRq+dxwWbHbWnx8y5enuzNTLMQv8B7rMxlu5/yfep2DjfqD POUJN8ZmXrIN7w1cJhfl8O61TtTkpOnPrXArSBhSphqSxnQEXUV8qdVQLSs979gV n5RUheNjqzUxHtUCDa0NrpHoHD8blWGf/edXrX6T5qahH7oj7EiwRyilpX3UMoK8 wOjoRKCu9j3N9Usu0HfcqGwNutow2Bk+ELgTLwv4ULe/zVJc6KDO2cz3yeUX97ym VMzi5Y43fAj0D1VshnQG0n6+nJdA6n88plbRht1OzqOEzlj31XuTnl3b+dL8lhOb tIvj0oRcj98b8QdpY8biA7UjkSLQ/ro8zpIxOKzpvJCXvXlGzx+GK41F3Vl/lCe0 CoaCM+JZ5Y616up/d49Z4fRcNfnW0calXY8sU7H5iuHE1ZV+ZwQd1+6b5hSNjqpW xThrjrDLM1quNz8XFncZDxZkjiRZ0EJ86MtJinlVFy/062/Q2Rm0+O6dNadduRo/ tL2pSfjlxe/tCUb9IWf3Leqv330dHrwz3mUvITV7wDdtZ1IaHM3flLjg4wZDI40D FPMYN4/xpakRjLLRQ2Xc/Bq2VqvpwdkqCda8lKXc59Dp4a4dv7RVKBemq44aXvKN Gy40i/g+d8fYGhntv/xI/1/wP7GAJ4K5uAwTc3EhifQP6j4lJwplbmRzdHJlYW0K ZW5kb2JqCjM5IDAgb2JqCjw8Ci9UeXBlL0ZvbnREZXNjcmlwdG9yCi9DYXBIZWln aHQgODUwCi9Bc2NlbnQgODUwCi9EZXNjZW50IC0yMDAKL0ZvbnRCQm94Wy0yNyAt MjUwIDExMjIgNzUwXQovRm9udE5hbWUvUlVJUUNKK0NNUjcKL0l0YWxpY0FuZ2xl IDAKL1N0ZW1WIDc5Ci9Gb250RmlsZSAzOCAwIFIKL0ZsYWdzIDQKPj4KZW5kb2Jq CjM4IDAgb2JqCjw8Ci9GaWx0ZXJbL0ZsYXRlRGVjb2RlXQovTGVuZ3RoMSA3MTIK L0xlbmd0aDIgMjQ2MwovTGVuZ3RoMyA1MzMKL0xlbmd0aCAzMDAyCj4+CnN0cmVh bQp42u2SaTiU7x7HVbLMDCJ7xWMZa8wM2aOsxYRBhKZhmnloMDMaMxhrKaLsCiFN R4osZUlpURORXYWshSFSsoVCHNX5/891+p835zrvznWe583z+32/z/f+3L/7hsth nDRMidTjoBWVQtdAaaIMAXNbRz0ApYmEwOHmNBBPJ1EpFng6aAigDAxQgCnDG9BC AihdQ20DQy0UBAIHzKn+TBrJ+wQdUDFX/eHSA0zJII1EwFMAWzz9BEjeCCHg/QAn KoEE0pmaAGDq5wc4/vglAHAEA0BaIEjUhEBQKIBIItCB46A3iQJB/ECypnhRAb1f bSLD/w8pEKQFbHABKhucqsAGJZFK8WMCRNALgrCjbqwGbrD8x1j/hur3cCuGn58d nvwjfmNMf1HxZJIf8x86lezPoIM0wJZKBGmU361HwF9otiCRxCD/rlrT8X4kginF 2w8EkL9apAArUjBIxJDohBOAF94vAPzZBynE3yE2xvYTAeHobO1gbqP+80B/aRg8 iUI/zPT/M/WH+WeN+me9MRwaKRg4itREIlEbxo33j69jv61lSSFQiSSKN+BEx1OI eBrxz8ZfmczMqMGhGlp6gIaWzsYFQmlpAXo6yPB/NTpTSCcZoLUFoINEIvUMflES GDQaSKH/vAQb+/2j9iJtTAcEg0ECJDtHjLTJY/cu9QXPL0+75I88aO3GQB7nT2Xq LLLE21/MQP22ar7xORfti/nSI7D8EROf8VVFdl9sWYStUfLTRVwtkyldPCCu5tX8 6OjIgmFJwrjGy+133TcjnnwG46s9jlaos3RCcVuFBueILLp/zexzOamqla6GiJpe YrG7ek1jT8Xo+bGHXIaELssgdKr6FY/FOzyUNnOi+3ZJ5h2t7eHkKO3oNef5/RrO ka8rD55w20/Lpch/qRHkq8dgH8QkMTFpCy5V6FMJb7Z9TCMbvjA5cubu0hhZ19CN pZSPz9IJl6sbD50UkSlH828Oly5JE0t8l6K6/8POV7NM+QrX6Dgri6CAAGhZ1rdx bqfhewm4AREjZcOMzJTurveKX/Ji5+Mitt+x5KDtRhZGV3GXyTrWRK5t9Sffir68 AN37mmssvHiL/Fj2ylL5RXkFPv+FuMj2W513YWE7XadahVMlxY2pFBd4y/2o/lAy /zVXkG+imagm/CzLKgVnkz4SxZtTLiXPfsbxrDx33Wnzd/lP8R5FhDE07qwtWqIJ sa5Xn6NLfqPWoSrPPsSvtYjrMDGTYkuka/aXaLROFrJhE7f1r5c6jlQEKR6FDmcF dTfqjjvB6jruJcDqCpUyl1X8lw/P9WBMNCQquhDlaw/558pvw9QkU7fk1kjdSOY/ d7nAlfM6HfWYBL92+CX+nYEkr02fb5d6ySBkYB/vSO8sTrl5ae1CZh0vgD0tLLec MuQ29y1Nfq17n05WY19Gae2ZGe85k2MclMOEECS2CLOW1Dea/zaNXYoYYOExFTQr UZjguWYF+A0BBWtxNU5xmqjdZxkvd5G4bU6S39diqsaPOzTDSxq9X3dUR46NMIfF JXSL5CubHKDp5mb6hmcFpl8npd9UEfRh7xlNoPPwrmsGc4vbiHcG6cTY3rf0qzHT VtSsqDywVGJhy/ZbIRXJOBzdq8OcmThw8DTv5TdzZ4yrxqk+PY2KTogk95X2XoPD 6Ht9mF3Rwhz/5Pl8Ms8KO8S6NsDMt77XLior/sl6Fnxzo9hIlOHkuKDBDLTwaqLn RZYipy56ixqPBKnbqbUshKfnE2J/GDpVwlvSwTH9QEf1HJ5zidhwlfUm62bTfEe0 Sz2Vb6roWbB/0yrXzGxUYlpqivjb/Bn9lW8qehPcAzm3Ihp7vU9iM+q7gqBu2+sc jF8ZLOD6jSnKgglRVF/7ledBiQf7DD54NNvROtdVPEL3XOHxKBXjqgwIUJI006oO g7e9CIto6luLXGwWTeNCHzPOksCa8qnabg4Ka6Mm9p/YBIhIc0nc7rGtruNn2T0J WDEpUSJPdj8lN6Z9dBa+V/pVRdL3pOBxYlzo0ojty9X2liQTnljcvMuU+CG0vs3i rfO+D25IX7SXeCHUlxonYV5qs5ZrDteUJbzD1N3i2Ahf9giLNHpb4ZXoNhARYmzT CS1L00GIZg7uHITctGY/1mwOanIOac9vehAxIGw/hYDfhBGCs6X89yQ9slfvdQjN Uv2K8NBYya0bcj8toKyAFzpzN4FEd8acijk741YL4lSh+6RM09roSznrQuk3Jv0/ 5TV/SbvjidfHPNp025N5jDuOV46eMnQM2nWNcipDX/7BnG78pprl2s7RrKnD94vL CmOZLldlDxoLNMiq0kzkYiwYrOshLmK9/rno0JhPhfVLsToLXDv62WIro2LUxbz7 6kazRUr7PPIeHoV/7Hke+VI6NLzvRQt7TzQgUJBddBbFzTxnVh3uZegzIeZy4Pxp zNeA23nHLP0ybK8aaLtcIXGEPkVWgg818rHWlM5xyFB4QktU04q90A3JT12HImuu Vr5nWsDvnpO5PGZl2Ohb51CY/ZZLKD9UOBbxzetrQCnSJjkZS8dWqTsrKuD3vdhW oSeEJ4qwcAXrJcPUrV2zhGYsbQcul+D76fbUyQaek26rZdXvtPNZ7GlFlDsYODxZ RVnIHl8UhHT0V90gpB/83DZqWm6VU0pT2xF7r9rLoiFpbmtMjdr7B9JI2HExRK6c vfPo/AyslGd2/IvBlOx9jj7wruBSLNOhRbUqKeIMEat//FnXsX75ahhXGGvCNoG0 SdJnKlZCk8/B9cUjUz7Tl3z1lSaHjCiUOVxQpdkt8sPyu5nXKMZPOevXcEhe09JF qEPOKbTRa5Ustm5B2fCoB6IiRbGHczjZ0vDp/osRxeUi8Y8m5l7sGkm8yZ2o+crU YkC7titFseXs+cuUmXdDjdGfC2y5vkHO6sq9HmpM9VJUHn0+7tDIap8WTLwcb6BS ctNfZJaRGe6/QnI3i169R/rSgcAviB27ojAqB+s2/87efTyw7j55F1fetOWzZq2g xnPcE3cEyvmn4l3S8EboC0ORDeucqlO5zXHNBiD/jvenpaHQrc+xKFLEltaXgT4F kUDlfL817A6R/wpqxUZkm9JTT0Nlsv2rXQcY0dlSA8iIHOUvepWleyTtcfvBR24V CvIeJgWjWpNbXYNjH3bOS3ELa55gi15vFmjsRVwIs+QojbVbcS+xA1Mdc60zj6Tr Xede1HDzbR5k1AfD1ucrdheS94ScrJGx/GjXr7Eac0rmfNbzwazVxfxtR3kIkm+W E5yIH+95tt+TWJNMK4O6HH3/xirZC/7hm/qq8cBA0TQnHigylopufe+//9AWFnlA jx9t1+zjI5IN2LVsGczzKfpQ+EjmgUMen+5oob3+vlkBeXSDAkO/XN3xspec4pj2 jaHktiIVop7SjGAnupGmXevZVtaEod9KCBSsfbDJFf18JMTAsCJjuBizWhM+brX3 1BUn3r2RF/QD4+58D3ItsFxCFiuu1/hFreGp0luW76O6FDarHrqItNaG7pqdl5gu 78748Cyr9ys0+dnSGKOllcdTqikRBe+3QxvDtKVMpb+LmC0uN5SJBkXvqeqF6GQ/ lB0/G6dWh5sq1fAXb/dIbAnJnO32nmi7dVMpgb2ZwHDA02iv3EeM3+eMBebsiH5v s/f7ZO5mrhBXurRkdRCZZZWAXcp4ZjRRyEkY6XRXvBbyt+Kq0d26GbDgm6zSJSns kVlskpTX4nZh7h7KmYgnGsG61W1HCi9dYvjmdamWbFfuCHXrZghqSEx/C0lziatu SC/rCsZuNcK8ZE7z9p/emZ50LSh8d9NZp5blPjQcW6XSIWwxaz3U3trOjEjNbe2r iPLSiKcdSO8PtEiYXhTqiqkVzcYzEFUVzJPsJwlGNVxVFjUr1TJI5y192JDlrX/7 fAjLOKi9C5a6UyDlTWvejB1XueqClNlxrfDH0bKy0EkcE/ZBWXPbIAuT+3iY6Njq ifwvH8j/A/4nAgh+IJ5Gp5LxNF8I5O+KGRQ2CmVuZHN0cmVhbQplbmRvYmoKNDIg MCBvYmoKPDwKL1R5cGUvRm9udERlc2NyaXB0b3IKL0NhcEhlaWdodCA4NTAKL0Fz Y2VudCA4NTAKL0Rlc2NlbnQgLTIwMAovRm9udEJCb3hbLTI0IC0yOTYwIDE0NTQg NzcyXQovRm9udE5hbWUvVldOTVRJK0NNRVgxMAovSXRhbGljQW5nbGUgMAovU3Rl bVYgNDcKL0ZvbnRGaWxlIDQxIDAgUgovRmxhZ3MgNAo+PgplbmRvYmoKNDEgMCBv YmoKPDwKL0ZpbHRlclsvRmxhdGVEZWNvZGVdCi9MZW5ndGgxIDEwMTkKL0xlbmd0 aDIgMjYyMwovTGVuZ3RoMyA1MzQKL0xlbmd0aCAzMzExCj4+CnN0cmVhbQp42u1T eTyUbdtOlmposYaSu0KWxsyI7GmQEGNfKktj5h6G2ZgZBtmKIkvWMpQlW7aEkqV4 ylZUliilkYxUStYoBu/k6Xme9633n+/3/ff9vvv65z7P4zyP67iO87rkd1vbQZFY sgdoQibRoAhVhA5gZHnEGQEHEKpwOERe3sgPRNPwZJIxmgbqAAhtbTXAnE4A1A4A aggdNTUddS0IRB4wIlMC/fCeXjRA0UjpR5UmgCSCfngMmgRYomleIJFLgkETADsy Bg/SAlUBAEkgALY/WqiALUgF/fxBrCoEgkAAWDyGBniAnngSBPZDlRkJRwY0/0xj 6ZS/IH/Qj8rVBSj+EKoEcGViySRCIIAFcRAYiszdDuSK+R/r+i+yfiU3oRMIKDTx B/2aVb/haCKeEPizgkyk0GmgH2BJxoJ+pF9LncA/xVmCWDyd+CtqRkMT8BgkyZMA AvA/U3iqCZ4BYq3xNIwXgEMTqOBaHiRhfxXBdW5NAszRCWVpb6byc6x/otZoPIlm H0j5m/dH+VqM+CfmGuSHZwAn4VyDEdxC7vrrz/WX3Y6QMGQsnuQJqGkcBNB+fuhA CPcGcSMNIBgB4ElYkAGADK5kmCqJTOO2AFxXQgAc2Q/yY6SIgwgARkH7gSQCiKN5 4D1/wD8RtZ/I2hj/E9IGYB5+aAz4W5Mm/Cfye5OmBsC9Ogwa1zEqfs3ZvyGtX/j+ rUv7V8J/MC0uRKUTiWuvhMZl/gc5AMDopN+yWv9Wj8VTKQR04Br4+/wMDcmMYKia OgBV0z7I9VNdQx3Q1FQL+c9KBxLelw6aGQMacDhcU1N9LYuh+3E9o609Gu5R/4px eO6BQZABYiDh6oFnSrUNX8KH8UWbN5siZHwTF6GiOs4IrQVcmkNC0Ef1eM2ONlBS oDtq3/0GcwFlU40yTYZFc8ZApBjfqNatfqg2z2iQzOhCMmpr9as5Q7Mken3lHtIb vLKZIzU7WvEDf/KcdWv/A+WHsV2Nl03nZSTldCTm8k3CNqISVEZJc2GtO3UimOwn hbDvLUvUNGJpLO5srzgmIDyu2lphw6FwW4PjeZul3Lsys59aLXKIjmY4Q95SubI6 rf54Oc8Nq++fw/gaW+4I7Z6kN1bVinio6NE+4l9A9Xp2vNjmkVp8pUJQQuluiOVY HeG6EvysDNbJfe9cuUDOqBvipIy2nHBjPJH6KJ2RPeOcE6QXBzipOUXaWEQ6rGvq KfZFCHGE+3ZKS4Tcc58SaYOwUOfV3Em2TF7ls1fH3CuP6kh435D0z0eaG1ntud+L PC5bTY4KmV9MEdhI38oRsp8zS8WpyK6bPiy4YDsef3a1pTPgWuJdKDNd+l2G1HbT epfg3OJeZ4Ne0fQjKuSvAzr82aHlT1QXjD+y9tz73n6VL3PKS+MDo1klAGzLZCXM Dd0aP70615Vin89aLYwZuiQjESCX1F5xL2x1yPDwBmxbQhrqXYtDgVfg8TOZzdVS VWIh46UHFXH7w+Gtw7DxTacyGlElIiPb7+rMU6fvHizizao06Og0lFzZ2pr3/QgU 9cbkcdKgZ41c38wz+vqlbOEKy9y4fEH0prC0PiMlTXvPCdHWTme3VgOP2kPfrfe3 O1QYN6nVBl/4ODvzbXABWppYVlH/RHFzTcnqjeVVotuqAi6zzFERksZ/it29Xaxe C8zcglJsinstK74aeqj45QnvpUb9BDx/CdFOxofYUZsFHHxsth9cIL5u7uqaNRjS z17etlDMD1925Zve/3lYJks3IJJzq4zp2yOPCLUkVuzqEW1PayWQnUxObItKQc5t i5FIBd58ulFEaVkefSxc1tgtljfyiTAhkToJb/psFe6C3auoL2d82d3do8y0NkL4 i0tgkTcKWwpLjR4cG5H5Q7DDiK95sJtcuPkWK3rEi3IzdiC8JsT7qegOhytNzKz0 WSnvo2qCLSJDNW0dTL6oJ+o1GV1tM9duqz97bC+Astrf7/OJPSnks0TqrqAd9egp 0jMRx6cOxqcnvxi4Uca356y1wVyLzMDqPE19ldNd7XH8pCy8qZG5W5Yip6P3wKYu JTdpRwpb6oDiPvY2LXncuQLmV9/YQ7vfDj4yCkqjvq8U6abJFwyJv1YO2MED8+qn n1E4Gas6pZb45L253Ij9bBRKFG5icXOar0piWigIx8wWCyYyzLfw7TiOfT3HSRuY XX41mavPH7qL3gcmVd4zHfn4iYJ/1IcaW7YRu+Nc0LO7oXXvoODlsZwGi9GM/uqB cT0D924PT+WhuAebJKV77Z2f748a9rlyuXUictkDyKke1btjvtWEbyE0JermO/Wc gWvIgNO4WoJNAbL9fuzwygRr9I/gCEmk6B8+bNbmIHTwfuRq/8xogvvR1sQa8Dqr 61StQWdacN9ZmaQ/CJGar42l51do8Xt7PXs07NYrHzNznmJMr0+2YXw1ir10QUZ2 XqlsHWGAKVDxcr+jDckTFbVOOqtu0TniuuKCR8b6etSYr3bRdK3VlX7luqYFUncp huOvUhyV0xt8yGz4NHVZ7uLSLSliVenIVkJyLm7GtNlOQ79Rjr4xys+bKX6k4T0L Tl5UWil0Z0k6MZlIh62dJRuZwR7qYRuKqXOFeYK3X150jd22M1HOp6+/wrrygMnT rfTaAMqRh5dvKvDNTp2hmvQXi+wzQoFhRq8FMlnRFve+p8zszhSoqd42L6LHsW4+ 7tNthRXz97YoLXycH+PVc+A68opZbDTvOONGmGDp6FMrjT4zzPPJ1tO2jmmhPjqJ V3X8LfS8Jmr6jp7QG222SGTDGI6eFLxU7J0CzsEP4q/ba/jwmHXlNhhSGO9i7u0Y 3fw7W5LyhPWmfUcsIV+MXA14w0V7tG6Fsh2ebNroddSJXWT0Nmw/1TA/PnkGLu32 4ALTt6NbYdnKWnBisz/HYfzbTtU3bx5si5C6qM7JMuyifRzZMPAlfJc4D/lc3YXA j/rN1jYTrzwXqm+9yFMWPiZLzvycIQhxw3b1u7bpWaqkei+bONXU68/PRFn3bpBu u30y+aXLdrZxRKXxG7T72d2GD+9Jm4jL5VWEw+KwZGzlfHR8xcUVPsEgiZZ3vm3l eg0+MvGEb9FemcPZg7kRGA2PsLzt0Jeud7/Feb+qDchdCtd4qMJ5LHTKpu9Lh9Xt 4hl1UZ32o2WPXO7f97kxWS+10iESc6fQGffVrrSPV6VFeAavF6hY7gubx2VFhuuK bD/w4mN+5Wq90dDgBJvf7orZqK3WxTTHaeQgfLJMF3s1NXfuMKerhkCzkho5wyg4 uPiJd6e5aFc8krjlpatvbMjNTlfeprCXIyERecItWpGXTrHPbRbRRB7VCZVV6Rzf USbmUKZ1UVfG5p2hi3SyOc4pDtp443DJXInNztnz/WXRnAXZui6jGOXbVb6fTIRy mOZvV/333XX1D7y6wtZPSEyJKrEUR71nbblUlDcXvMe6nwV1kxuTfEju2iZZ6frJ OdHUHaXQtitB97zuiRQD8uE7EWK6GD5rUxj2Xd8G37gMqhN/2QRnM1Zw38cMlfl8 i8Z3FSI1MqpGJm1B9gMsU4bWSWN6/K7UyleTj5mv4h4UvLnWx2NjTHf6eouN26Pc 67JvT2H3tQ/XW64b2CtZFh5uOHbvQQeeUrKRyPMCPpXeV+D6KU7I9n2olAcSdbed Is8u3Ytsv9jQd82pAWbCLlgWSWnNW0rOVs0R/MwRKBRV0hW6996RKTUh1GYkfVs4 /vwzrQdDTB6zJ0mptVJBmOixz4JnUrWF4j54QhvGXh884wmMk2wiq/YtX1x3VSl3 qbPr3M0D5XriSek9UYv1dj5gzu7nF7z4pxaEh8qvlUfEdudchy71zAjFlAzZb8iM rO6WQ1XRRca7FA4/uwwrWapLfTofq+L7yPOYsBRF7oKmne/AgcyLeWqJb6sunBf2 ESJoF/k4sUSqtBT6z2/pRwdKyoCuDrd1zT9MuJ/oHG4518uW13+jyjra5jCsp38c 3SRW0y57gMmrY7EMGgwKZQd+MasQcaBar6Tsc0LxPC/kL3rodQ2EfJuURRoEQgu1 j6/nF9Fe9Moazj7kdKnlUGKwjQhOFtqwbs8cZvRKwMzX8X5xSYzbhasxwUdy360L ZrfajG5qFZwPY3xNXVjpKv8uY5C1xHj4id63/ixBxk0iIV2ZJ/2zgYCT5mfM21E7 Vn95Xlxd4GzIsSTa1BwjYqPDs/Rds7KlrlmcCPfsV1+b3bzDV82RwZqap7pqZimm ixULgMrN4xsf3Dl0fpDSpDDmGPfy9CiMp5ICxk2pxmWtdFJMOCkPme+W2xOONRBY hjGoYwFPyvKjwyfDQ22T3bVg3+TZx6xODPs+in/RYVXn4iIsr5O0DL1rixXTTrh+ 6vx9hx0N9RyjpyY8XzQh8P/l9/8E/zcIMAQQ7UcjE9F+PhDIvwAfC9r0CmVuZHN0 cmVhbQplbmRvYmoKNDUgMCBvYmoKPDwKL1R5cGUvRm9udERlc2NyaXB0b3IKL0Nh cEhlaWdodCA4NTAKL0FzY2VudCA4NTAKL0Rlc2NlbnQgLTIwMAovRm9udEJCb3hb LTI5IC05NjAgMTExNiA3NzVdCi9Gb250TmFtZS9JRFlQS0crQ01TWTEwCi9JdGFs aWNBbmdsZSAtMTQuMDM1Ci9TdGVtViA4NQovRm9udEZpbGUgNDQgMCBSCi9GbGFn cyA2OAo+PgplbmRvYmoKNDQgMCBvYmoKPDwKL0ZpbHRlclsvRmxhdGVEZWNvZGVd Ci9MZW5ndGgxIDEyMTUKL0xlbmd0aDIgMzkzOAovTGVuZ3RoMyA1MzMKL0xlbmd0 aCA0NzQ4Cj4+CnN0cmVhbQp42u1TZVhUjbYmFQZFRUKkNiChxMzQLZ3SICUxzAzD yAQMQyoCSiMl0gjSCIoM3ZISEoKIhKSECghKCajc8SvP8dw/97n/7nP3/rPX+661 9rtKgNfEXEwNgXdGauNxRDGoOFQB0DA0t4FCAKg4BCQgoEFAwohoPE4TRkQqAFB5 eSig5oUCoNIARFZBAqIgLQsCCQAaeHc/AhrlSgSENS7+9JIF1LBIAhoOwwGGMKIr EktOAodhAHM8HI0k+okDgBoGA5j9DPEEzJCeSII3EiEOAkGhAAINJwLOSBQaBwL/ FKWHc8EDsn/CCC/3vylvJMGTrAsQJuu8CJBVIvA4jB+AQLqAwEZ48t+QZC3/Y1n/ jarfk2t7YTBGMOzP9H806j94GBaN8fvLA4919yIiCYAhHoEk4H53tUL+Kc4QiUB7 YX9n9YgwDBquhkNhkIAYVEocIin9J4H21Eb7IhEmaCLcFXCBYTyRf+BIHOJ3KeT2 /SEErKdpY2KgI/LXaP9kTWBoHNHCzx0JQH65/2FDf9nkNhHQvoAdRBwCgZIdye/f X/a//U0LB8cj0DgUICEtA8AIBJgfiLxFZEsauAEF0DgE0hdA+pIlg8VxeCI5BCD3 JgBwwRNAP+cKlYECYCwa5+X5E/8LkgDA7uSB4RFwJI7cRyTiXzhJsrsXhoh2Jwv4 hUoBYJgn2RXt6UaerusvRo7sj0F6eiI9vMgT/wWTA1A/l5yc/TdGFgB7osnDhBH+ ASXJScil4X3+XKu/YSnIXzDCGYNBuvwLAf1F/BYiD4DROBc0Dk38JV+anAeJQWLJ xf7CyAJxSNQfV+iJgXn+KklGBgCr/7LIcjV+WXIAWPMfS46c1+SXRS7C/B+LfNFg L9zPU/qncgi57c4EGBz5b7VAIZJ/wf9eCRRC1uH8V5P+cwHV1fG+N8Qk5AExeRny PkChMoCsrHTAvzta4tAeXkg9TXIHIBA5iT8XEu5FIJA78cflk5f7b9sFTT4IJNIX CQdlZLKgKR1FuUR2nLZbX/NZNfQMTpSnC9lWQNmNhm4nmtHexhul2A8OdouIbuVE pPXP8ExIv3wQrEiPeV6nNGvMX194soonzfuxpAS8l+7txkDzlRCqdYo8HDEcbkiX PWq7nRd1NV9NVJHh6cGqx43NmexD/xCnZzq2qHPl3UpWZ7ReCiYRvM1pIbmHG897 dt3NfGNR1I0Oi0mS4Qx9PGcUxmVNXqfUqY9PYNQVc4SUpyW2CvQTLmleHtDc6yj8 IX+1vITbV7/s+be5mLIT3pMPQCoNVvVRzpITHzY7Nk/1u4lez8hV2Ipcnj0y+tEx QzsmhHFbZHNXWqKTDRRIZtxev1OVQVnnuVUoP0ixdZUvA+HzMDjx8oZiHaPIg6Oi PUsU6cDQM8MHHIMyuuol9byr8fMQzJzQApBCCHsl1i13ebHNs8H9oLCacejdwrgF 0ajPihZvrPCLfbb++xQOBf1GU36tpS6xxmsGgbZZ1ZuLrREDwbH9xqsGqmvRI6kc XySdiDVXNChfMp748vic3+KDMazr3Aj99Nd01+YycBIzxgeTBZtS7lwMitKFqW1A 77znF6gud4B4nCfNcPeUHLxx/brot07yqCR+f1GDYznBS0f7SPAwXCBUVQirICio mOxY9qF5TCF8h57WX4iWUAVWEb8hM+Y8b7BjSUSeqs4/UCzfDn4Q9FJH8QWn+n6e /mrbPdUIX/mS0HvHnRmLY2+yXwGRTozWjwI8c4epinYpFKk+7MoSBTGcnYiDYbrA vqbKDAKlNddNJvikEJFCKL4dkbbeh925qsauGkMrPPd5U57O2JunUj1ODhrLvOAo Nd/7Pe1T7KUW10wap/JvggnUm25VnAShh81MD4vfjSzztNItuuuzhfRwv5HU4mPo mkY9FnIJjmOCKz1XVmLdT323OzPFm4WnODIpyt+TdGikuDJm7d4cUk3jPvmZNH30 YhY5MhlkUd1oXaBm/AlVw0pwDKOdD2xkevsqtaYjcqH4VXpU83k6rieDrD1X+R1Y VaxTVJvNxqNeM7EcLAxv3EiuTb2ft3JfsqmpVea67uTshuBip2VStrtrKJVHR+3t 1s00qWNW/PhMxrUS3RwSzV5lMEQAJsVa52h55uqXHs6n+leHgnQ5S2867PLNl9+P eo+Dn2iWMNLJj5cuFuyUFTwqN3mNJ/ZGR4zSn1F3OF/U6nQpv6FpOiSCLdhm5l6z RYOcG8qPeWi+VGHmfQBsW/+yY5Ss7cnw5TTo5NtMnqi+azIcGyairwyHfecSaOIF rszprg6OD8AY67vNKxvf+AeZpqKo/WZVUB59ljWu25ZMWZJl7VPyHvTHAkH9zSb6 oTqWAQLWrLwuEp9fbTtesI6Q11ntDwzJ6ypvRwxuKgHJpAzlgdLyGcrZ0IMg+tdm q3ovHeOcXbEioYl97K90Iua4xHXRhFMxkkbBldfGOdrcgeBldz/b/QSTzZPGoiLU Yr1KGk8TPzPqBFb4XMgVNMstLmzlG2/98TBZmf+h+sl+ofN3HVTNCWefu7E/juTk zL6p6dYi2kbfwi3uopwyuGueLRRreNZ3pXpKpjrvEs3SW+WbNbOTCUUWZ3j75FbM TRWy/QMy2VUGK46Fjc8/LTuUY0Qw2zDDbSywp1dtzjDGn04Z1L8TIJRiIHEpgQoc FTI8OvLA/Kk+d75Ib5sw1S316RlBRTqWknnt7e3hdmr5PcijAMfZy4WymV1sP77F wArMk5Yi9W13TxvSM547xxpadpIpYopzKYu6yHHm61srhceLX7vD19+nVRzN4C6/ 6eoDxwS5BIR27DJOROedtAs1kq/ZTZrpSQSjX054VGkM2CYHQHUDcv25jCPfIfVe dvdGNKzJaa2xfHXfVe3OaqIwYSjZKjT64L3uFvAmsA0a5hqIOB2uXAZELyZkmRkw 79wNcutMbHrbu2HhG3DFp6P95A/Pirv36X0vhtjiVFbNRK/qnmNa0ubTG638Bl/F N7fG9pAOI0vNKGIaqAxXeb11zBIUZp9FBD+/FcW6xM56SHxwnSVq/OSW6DmcMV8V e33pt+OQFcaZm2z2StH+wpNOCN7CXEm3o+E3R2oclQuRXnK166vXDjNNCRzzuz2X wPdjxCL1btbk1aoMr+8I2agXFLaweFvbBN5nIGmZj0zUV5xhwLqVGHAm6WIfjp0d IxTTvnuqkiN9trWaku9oDnu2ovaHKbPEuRxneyE8DZPjlZuwxCTpYooLlcuZtKsf TsxU1ctAGlc82PLzTD8Ir/ffkQAdFYoxS62MuRnpoLpp3pkFW4mUDI3fRx6MZgg7 w63Mko714F4pey/ZBAhRaVkxns0/K3dXJ1PbuumjNtw3RVbNTBbH9tGWq4DXMqPS pW3fjjNA4ttBzDFjF5S+13VHGj/hOBvJs3UzGjmUXKZ76flUKwk23KdW62vLhlwL kngy+r+cA18XLI16DKs1V/Ld3wwR48/jWTJhdd1ETjWNLlsP9tPAO8TjTsNyZCw/ L2vWfegCm6TAPba/l19UjqZvs6dvSfTaXHo2ftSU5sWEsDfuOyuswhEFCkDtrYn1 vOKkSgyg13NSGxVjG6Q0W3RJSv4QF+pfQiTmKXBk+CTdPc5aGqpfgdbu0LzRf5aN ui4d4pPNz9RyD7r/bWNul+1T6r0BLW0VpRUqkxeZM1PHIRuvKlLtEPQDkYE5RvwZ LsHTcaL8VVWOLKOf6TNjy0jboAd6qYdlhO6c2tvP+mYnYHGm04IGO2t8ohQF+iNq sAN+XB5d/ppijmY6p+R6+cznOI8TyGMRRtWO+jU1H7HLdMlaT4qsZ+jxc6bR3YZ7 YS1uxo7nJu5VM3/lnErWHtuZ3UvPfKr8faBLPjxMz1vlaZzu4X7hRqfdrK/cu/DA W1EidpZqG1yIHXni3ntdHtXd1JpCwzhpMIjRvOkFXojbEane+eJ1bDxN0um2dhca xw36j9lDAv5hn4yeqCs5fsloP3/DNKJr3Z3mwDBJZ9hcleJ1rtQLO/7MSZ+a6GsQ TlGhcdfu7OqUvGPJj9uJt2F1otU3hPQO9vwqNoP3zM6WyUG9rHtQOWvW/pbBEXLS wUzObGVv+WpjwjNJiMbTt/viqrqMfRkkhy6suRIS/SOTQjXGSRZp7CcRUa2HwmM8 TowiDrtpDXTPOi+lxVRKrTlrHdYEUhlT3XJruDSSlJrQuG0gJRD3wU5P79YNprZ6 07TR8nPsCAjF1Iz0xCHPsznBUloHhoQiRK8J1jWS7qyiThkdJyVUxUmPpeKZ6jRE seNE70u9mnCx0mmRO7OlmloKbEkKVumLF5zZESEB6wVuS6lLDxzpuY4JNaXZsp9X 5I98kQ8qqdmnflQITO1Jj4GfG+4nMgzWRCEmdx1K1zvnXNDSa9a4w73Tn5Re0lqO l9qjOwI4+t9n8b5xsATSlKon8jsY94qm2QgeBy9EJu94zEXXD8iy+Eretc7vPNfJ 8b6vGP6+otkVs+mrnzo8Id+W8GRKCtOkfpskQqHNY4ZTRrNO/nDPP1gEy1bErL1/ rv/tvMX1vPaQ62Goj+qJtS9L6rk19sMEU4MS+b4odsFb53s0VJsjj30zFrkc7D6w jBjpHa28FtIX1lxM0N+KaSkIXKNpow3IfrRBaSloXTfFu3uPbxmvXkjJTxeCoSZ2 rs988VV7qt4j0aJDfaQ0jOY3kk9pSuxKqL93SpuZeb3oVbyAOQsj1XJL/LfSpFhH eK7qoFUJ3+u6e13vi81yb8WHnnEfchV/O/vB7QKPfzDVQxu1qS61HrQsyVn0eQDJ CoOPFnxezt3lUn7oGRPFpwNZkFX4LPp0U6geKaG0/H1ofrFKOmVLiCTVfRpLouEL /uH7enpAOclcOpY0zXdT+vCNB+ZBERXlWmV70ujrAiEnU5WdDnuSylTgYxYfhgN+ vfPs8+qXhb2at+xYFUTrQuA0AjGNR3peObcl+mgECsZ+2K4KgdxP6Z07ec8eRHF4 qFbLgj6oMq+0plXCvBsS539dZGEubIWTYkhq5oVrdw+oWr57eNN84DaWZlTI/GTl VS4u/gXWtpF3Aay3v0xozwdSUXdvxmNtZYs0/RuElffOG8vFVgbTfG9X4wxYcWKe /XpeX4kijqece6V6RybGZzi+5UsxfMdiomnmcivhHYR7o9jlI6Owe3QY6QX1gt7Q fqiqZvv3RtQFJQ3OoBAmVCHDMbssYCK4l1O31VnohqEwaczwjtYFlU9mp2YfPmFx U+kS5zG3FdvlqXcZXhp8OCFcr35j4oztyNEm8FnGQLL3GjWbuFROm3u1gCPc/blN SQME5xuCJ9lTlAsUfVugU8i6LDN7iRqxoFKgyLzNx0CDyIBhLHe8dMxOe/QhSrl9 FOsVTx2ebCOmVFtWcWlwmOgY5wNy9l/P0DGkXfIdrhuZewrUfM+M7+S2TDt89uOt rm4jdd8Ipu7U4wVvGJ0t3ffXBl36GE/7T1GtZaPT0zS1lszAxqde2LdqnuwGzh9F YOGO7HDHTylBeQzcuFGPO9a3pa/p0B+/K5np+kaHT8TELu+I+1PUbqF1/F0fnegp 0qz+RY30QHkHLhP+ZvSMqK7p7ExEeeAdmR4uM0G31O167DdDHadbF+caWuzEFD2u Ly5qYLJaqDdT2EZ3RyWNa3e56gLjh8Cr2SnHjUIVyhpHNREtXhRV8Noqx2uxEG/z r+nep7hCcoSFWMY8Y+wyrove2RNctEqf7S0/LDrhWfHgtoNo7udkgSAJ0sqTzQcO awUndvOjQ3JvoUZCWcPXeYYitbEfuStyipcTLNnSQXsjHLyizUsPiVlvewLU1b4O t3KJfqQhXLvT5x0eE2J2ZakMm6FDN2FMMkbhhpMrW+1ziXWLd6ZF+YJR/WaxoICs 5XDMBBzvVIhpHJLRPkVfw/ZxQfwFV0Vm+IfyXPrJEUWLhdpCyfQ3yisGIPG0hguY XfeQIMISpWYqh5bt/oqOMkvB/kcWw2R+fqkXnkqnJjYrCKE0gyV9/MqLUZG0lnYf pQb5rk633JKp1Y56lFy42u46E1HBpBtscUs722il3D4+NIxy3C8lZ7vTsX9LoPvN CORosPuVNf/CY+QT1PHoLfmod6aBl44HqxGzFOePPTn+sUUulxNLR7nKZhN60JwM Xjd8x4JZRz2KvohwzXKFUVrwqLlohL8FWX2qZOW7lqVgbiVq31+NPn5PldExHJGZ dWIeiz0jsJx1xqaYrjg1bXtOutTeZansEcdV7iuLVygrVdRiRfBa4wHiX6itMwzG zqv6eIeRYrrllgueZHbtr9yg1R/1Yt97Qh3Q47dKi92C/C8f0P8n+D+RAI5BwghE PBZGcAOB/gudHo07CmVuZHN0cmVhbQplbmRvYmoKNDkgMCBvYmoKPDwKL1R5cGUv Rm9udERlc2NyaXB0b3IKL0NhcEhlaWdodCA4NTAKL0FzY2VudCA4NTAKL0Rlc2Nl bnQgLTIwMAovRm9udEJCb3hbLTE2MyAtMjUwIDExNDYgOTY5XQovRm9udE5hbWUv UUpGQ0dIK0NNVEkxMAovSXRhbGljQW5nbGUgLTE0LjA0Ci9TdGVtViA2OAovRm9u dEZpbGUgNDggMCBSCi9GbGFncyA2OAo+PgplbmRvYmoKNDggMCBvYmoKPDwKL0Zp bHRlclsvRmxhdGVEZWNvZGVdCi9MZW5ndGgxIDcyOAovTGVuZ3RoMiAxMTI5Ngov TGVuZ3RoMyA1MzMKL0xlbmd0aCAxMTg2MQo+PgpzdHJlYW0KeNrtl1VYXcGy53GC SyC4u1twd3d33ZCNy8bdgjvB3d3d3d0huLsE98k5596535w7L/PN23yz1nroqvqv 6l9X90MXBYmSKoOwmZ0JQMLOFsTAwsjCQywqrybNwkzMwsjMLAJPQSHqCDAGAe1s xYxBAB5iFm5uVmIJgMnfwd+Ph52Dh4UDHp6CWNTO3t0RaPEDREwtSvMPFSexsA3A EWhqbEssbwz6AbD5m8TU2JpY1c4UCAC5MxITC1tbE6v84xcnYhWAE8DRBWDGCA/P wkJsBjQFEZsALIC28Ez/wJK2Nbcj5vyX28zZ/j9DLgBHp79cxNT/JKUh/stpZmdr 7U5sBjCHZ1Kw+zsf4C/N/zHY/4br35NLOFtbKxjb/CP9P4v13+LGNkBr9/9Q2NnY O4MAjsTydmYAR9t/l2oC/gUnDzADOtv8e1QaZGwNNBW2tbAGEDOwfGdk/v4vP9BJ AugGMFMCgkx/EJsbWzsB/ukH2Jr9O8nf+v2Tg0lZRkJUUoruP3b3X1ElY6AtSM3d HkDM/F/yf9os/2X/rZIj0I1Yl/lvmVn+Cv++/znS/7fZxG1N7cyAthbEqiBjWzNj R7P/6fjvVCIidm6eDCwcbMQMrOx/jxvLdw5ibg5u7/9VqW4LdHAGSIsRszMzM3Ox cv3Ta+rs6AiwBf3zQPxd8n/a5sC/VQIA3ACm8H6qyvLU59Rr35i/GZZTUgfMf85B UiZ6ogLM0lUFGk/2SsJDPlLcsYtCfiFQPkgubUfcyKcIzC6UjBEylKwGP4sxtn67 b7qASa7wYtvZs+S9M5qX2zf8xhKCmjwOdRPNFSZ3V4HJdYYj9RVtTnGvy/O0IN8J OUKK5UN7aXWKUQLNyiTDM+95SmA8746316Qwx3UMjzqggPZ9qv+uWVffdLsjWn9U RdPFJrrAojKj7c7zEMXd2W/i4kdQfVGM/SiR4pbfO9hFHPfRnd86j0u1Y2W6qHCI E8JW1Ydc98HwxVg1eTzUuz0zWgKjDh9Vl0SEdzlwLTeqvYlNp2XjfQg2Cd8LQovK 9AUmU1SDN9cVCiJVfFrkrTbjMVJ5C3lgRfmLjWhvOdcx4Irjp+Enz5ca/I4a+zap hEcphmH/tBl+Nh8VZO/IFd6WCo9P+VsL5bsb2rJTOhtHo540ypOQUSgwAVgy746B kv1jvXmKbKH5sXs9EH27UCVSLZQcccENaZGgpz9Bou4L0JwkbEr+S6LZ3Onqw4VR o3+NMMbigkFyF1WhCzumQnqQ2Z+cLey1YINGvBizeWhZBMYgEyIIHViXWbuL1tAC fgazfqofG6hW2Wq4x4fhPe1OqTt28rI5oDpMBniFdN03ku6cRZZdf8AB9meP2obC zLLCGGwm8VGSvXB2/Dbv+Mf5rbq8OWbSw58sdKwvULM6FEhxvh8eEbYxhcyShKue hWb+WmmAsa/GcTQ3u5afh31MiFxqKJF7Pq+2WelGjbg6GQ3iisvDz0xMiZyYSSHl 2ijsrRKFYnHFThnxwO2bV6laGn/8gIt6LPxOZegPQCwQ9Dvcu5RJUXTd14oD6I9h 83OO42tOfVSmcdzv7FNwx5OAcfxBZC4m4BoepxfeiZBvaF6xcaMdd5BFjuatPnYP fr/rNgw2fRjhCITjLiOPngPZJNX55IhTfOn7A28DCkSzWcab6lUCHwAbJNeS0b7A GYh8X7sYAdbk2XEnYtN7eKXFiyAzX9UJIhS8fqSpoiKCJMapPaL0E30n0T2IfZ4m X8MoRfkWWD1eAmZ9pa/B2idF1IG3QqoQprLZ7iWelMd5oKTTK4oNpzFGZCRwbj/Z kC+AL5cLUviSiHjktiuREESznRV0v4pCTUrFCPSgUxhkHJK3iJFeLP/qhaoj4eml WNeY2qJqQZmgE4thKGLDBMFQqZqqm0qYDJKD8M0R8ZpF89iVUBZivX0te/hIl7ax pBvpbrYXmrMtE5WA+wjr/Xzj9/NvMWcPaEmIo/Py0jhw5idbZ7rS47nKSaV5lITv XE89fxuQS9RQAc9ND3/7tE7pHPGxdAd79jsFI34fruxI/kzVjPBLZf3tmW7pxkpK rZ5T+NMp6pndd/4DsyUeu/NEaN01iDbqdzI7R7l/n4tM1ccMWfF1PhxKfeTKIu5R kSrY9HYEO2iIZBw3O/r3k2zN9/zUhzsyB4e++ahSC9jdtbqQa4qSRUQcWhOwYYet LPeracgTeuTGQ8vc+ZxqIiG3zKwRCja7ms820Y7t29BdjOAG1pOO4EoNYZ4rnoFY 9unBedw2oKeSavBmz7ydS1D2oBK68Q/i/bnz3m2db6VBXKXmKqZi6+2+i/nqjA+4 tePEVBYy5dpCoHVP+S0vf3Wa1vMt7lypFfVEJHijspXHgnG8SAyI7qdygV6kLxE2 o40+UF7NO03m4ik2Q6NOdvYe05hFIdsyEQv+YQUJ3OKvripMuPJ/Cs3c3xVyQS4O 26zisW1zLqbrrJUHceeaucKyX1m7BNY1lvbUphN7lxNKu7bNrIEDGBeksYbCfC9O zzR4OTMd57+sUDDfaF48lfoQu/dgsn+KZs+JS6j0kGDzswHOWvJNGdjCg+foulMX di2f7k+2FsxGp8lftfPuZyIPgcQuQYHKMNLfqMsDBNkM+CG1OG/y8gwtHYG3zjP9 J49c5WfK9A77nMt0IDflMrHnbvBnGluwq7gdgcGRaEp6VqPGLkNDc1bHxvtPEgNG yPiYhX0LBjve7zUgRCmBWTrzXyreyc9s3EWPIqjJygGTdkjvYmyn12Iqis6Or3hq fXxxrol4uLcbtONjDas16XP4b9G2u+P7ImkX4BY/U8xgPPLlczKL1iSoY/GxRDZR f/DwsVf7Fb1GKqHozIa6OSy+c1g1Z3vXrI3NiHx+DYWaw0P+0bM7c+BRcmIkuuKq HnQXZLE3MS8UebKUi+YONQ1kwl7jC3cbv2o5Q6HU4UH+fjX23b3nwzAtvXoF7gAt gXUhg4qOyAIz/qJeSY7mDIG8yfTVmsg6s22HKuRaUUnRkXBYEDWZsZRnzbkIwS7M JxqJ0UXzqC3QZTN7S+q9oT9pW0k5Ba69PKBSVbW5i3s+ZUmhktFPGXpT/ymWv+DR SgjZrGMoK3rIWxDum5V/BrpLyfxSUOVtGN5hCyfgRQwXZwI5XQSnbgwMBfYLsm1r 9i9tX/jW6S/+KjyO3a4x0cwczO2kIctjZGyjjhj1ofcZJQwNxQmN9EsI8foxeRBc BwCuCyzNyO9gL9mrZ4aP2/rZSmz9G+bKf4Bf0X10gD4FSv1rd6uHfNwjbRmcPCa0 GB1aTPkOLJwdm/jUy1/22WDUl4uM8NGX6pGlAs/vGXXWg0m7Kr0yqecgUJ47tE7u JE9bBQ1XP2Mh4or6qrj8hFOa2uEmWfmqz2iRlUfdCodUr5g66lIbSjo/QDuu/snp Z9akhLHjvAa0ns1ehRH12eDHjezPRzTYW8CW+aY18R2Z1pXg3qBKFiy8DYXJ89iY sapnEoiaN9U1UcKcvRy/kjRm5i9h0RztOW7LjmjqTRGJszyXkR/QOOQ8EVxiHtt0 qYPGnVriVq7LwtF/6MbwOJ8T+l4gaL2figOFCPcGwnQanAQ9cqSoSraxLViZbSQv Z4Q5TtsEf+sVxwjBnsfBidJZTVZdr6HecjqMTjq9htCxAJMeCElOJSPwpoAEjV5J DhZ9JB00qkDvzWvG7k1/xXDjBp6LaIY6L6QstLto0fadF+XsnF36y/3ES4P7o5gh 16al3sq+mHXqmYlluLtlXr0p1Dvj9C/R3V+xscArK/fvdB81pfYXUWWkXEdAikyh g75Q3VVCtfp30kJhQqr9BYEyp8khSq6csmJBBY3DsK8P47/MyIMigykVuy1qZuYw eHXhJItMrDr0DiuABpI623+iPqfLimUUVJ34rty8BujfzElin7Mu0vojLYegjqcV 1wdclxwNfmfy6hZZPrIyNaPiLUShut2TMZm4eNlzLI20xc2swnrTDmD/Mtzydwy4 NGSe9Od4TZZLlxqkMCdOugygFcA0Z0a7jkxgx1RC6KoErEqw/DCwNOHwbbXVsqYJ vMLG/BVFM+Vzzu06klno8APdViZw9TDJDpAiUrzWtXJepYkEEgen5H3scKO76Wau uL9rIsk4y/2EdDbZVBF0cROz+L0LBX/zUxs/xmqE4lPfHft7OVGQ9qtTAaGlUPmK ptdBcfSkrNjM2PaNknO4h3VVx4f0KJs7X15/Nw8QhVt8VEsWHsnth7TIPfxSfSjH b8akXUYLZMUDWJyAh+A728IxWkFkDcHGDjG4WSk1HZiiBn13qjGYejN8jtKpgeAF y4Hl2ul4o8sRiv5h3IgEAg12wy15LddOGL9usveIHmLIW7/bvREuNE/2br2k1ny/ vpJyyw8SL9CjtqDWZSwLO9J0jf5GEvkXkzpYvWzrHumbHMFlA5EBv1Iz72xT35q1 +ui1I0igBMMGxIVnrh0ionRvRtcoAid0UhTe29C4rabgwmVlBnCAK8opjbRf6uvx NrxNTAshuQkxHBvzxDNq+kHEdPbtdjjlm9JdrAIwSEdIEeqFiHpBhOoTaNnpMb+t 91F7KUDlnM+FoVFygHFUCWC0YalXX9kj35r2Lm4cgIM/TqTcKE3ZbeR801jq4/IY c0rjxLM3bbPYzpFa6vl5Hd0zFq2/kFacXnTJ6KAqxcUHUjuYjeUAvVb8fFz6tmck VkNSZip/8kYHjx40lqZt1kB2Y5dJQzRT3IxzV3zasPWYbHPGUgDyl8v5Ig7wI3/x lrmyXpGwb+0ZTJpJJd9GM3wddNlwQSfDGbrcRyXFUqRPkRAMd9aMYLH8zF0nbB3m VKirycwET2psYHLwUro8UxtzaPBRTKG3P4xs1fjN1n+rbUcBg1SCF3QPbRbykOOH lztEg5hmwHTOxanEjPOTu/Xag+XABVHztG5lk5/jWFq4EW2tnc9GMXA2Mi5XZCNX HvXDISf+EpynlMVR2qKNnwf6GGFD2lphSQZ1DVFO5djQMfTAZPHbg4gxQyMdr2ip qOlMwLGowkhIHcVwwIpVk/MXEhIvUeLXabXJPofgycnefGle1qpDFFrFY/OdgbKC iZHUsxKfTB+qFvweMUGmmQgt8FT0rZIRJmrmczGYzewdExjHWPPoBjIgBwYNH+TJ wi3lcg8CS+J6Wbm23+JoVxqaiTk443w9RUIrIhoJWQXrSv81aAu85yKq2R+RZlgw AxE79ApCp+/lG2QjR7awgDscAVWHAOy3EA402Iud3G+9rZo0JTe4tLeJHAsDKaZ3 vhX8x+dEC/nCfiXiU0Iq1eqIE91Yc19gERpw1BytccO/M9vtaGeWDjQXaHHxJqxZ 6djlCBlckL/0pBDxhmP+NKYXrU3aXoqp6ITR1hk61vwI9RHAajs5vWUP8uOyVX22 j5yeITh7xmW5lTqIeSF5HF3he4gLgaLvhC6ZP65rPSCM5k0M9x/LPI0p8GvF3nsg DtS4U170kKiPayFsuFfMKgRQUpbkiOZin2kVdUtFyyE3TH8qMV41Uzk1R3nXZFYg 0iUdRtf4lPHPbsqIoGRAGjW73FIA5hoUf/IkzOitVbqEUUsu3WIjDTrF1BZlxT2E SfVucgTYHWFefA5/7bLNhExQwfCTQ+I48Bxj0rr1iMrycJMOtB/0GwKeZtwe8qzU gKprbX9iSxakzXfPxh2nIwXhqN+KiyThdfMycoyEoIsBqQwH/oy+/Cn4wLYE/1ze gZZnXFb7hR6fFu2RM1FZq2FbqBCYi9OddeQ8+D0g/civbc/ZrCEnCt8JGB6Ym6WS O1i/S+NX6MH2QOF5g+jwlfgaGXpz7LRY3UOM9PXXOhxeIJsMOJ4I3U8PIZtBPYWw ksrROSST57pcgGv6y4695hp/c4VBxZSNUMrO19p7s/OAOx2j2GJLtxp79W2pgZ/z 4KpBWsvtLDFxyyIZZmRq+lzar+1MB7Z3Ib+sGQ3x+Z+CUrDgrfERRlygdzcQOfPN mqBh1/k1hJ+fmyuSnmR4+HDVtIM2SjCgzeWV0GIYE8iVmxA0tY8u5kcETc7dhn+U JlGN8C2kfpss9w0zrap7y9b3jjXlyuIJSmpFy4cCMh+h3fLFy2i5BcUWgkXJKyrl HrmR5UH71J+2zoXDvbkINrZq40aHzZ8lozV3qYUc2sPlIWrO3c3DOzLCOobsSyYx ltpovCEgxfZI2D2JZEnvhFlYvL5RTlOkUCOwjLdS1/kEtbH4sS2m27Rh0VxTRzMS 9gMjp0az/DeRq1liYHGF3TLjGrZXjjA5Vjzv8/JoS3c0BNpUMFCt5Em43Fws3Qc4 8hAWBQ8+t6s9TaY0bApkAR8waaZFazZ2FGUYmhCMz0NfKnLglmdL220VL2fdo2jH 57nLceyKioPap3RoiJdaLxNj3xn+eMgeOonP+WL/GjRiPyoEq3knHoLRvFBwxo/+ Vqx1FG/0wgzt7r3fxYppa2urd/4cY1b9VUmT8JTXiD8LlAP9/v3HUviIVVRoNMZe JsSvC5NoF0GoV8yFHs7EzR3U7X3cksWJSb24eOUjdtPMq25VxdlvQ7mW2eKG9jNt v+9LErPsOlWzQJxaiSp6TgkEZy7RBcd2ghBI+Fq+k21aIb/IazQWlBFGOfvTB/gl wkIoUvVqBl6qn85carHvRSLYswPDc8d66gUf86a8TpagbMmJW8QxAXigoceDovMg NLRvp8/9pIADBovBd28oTiWg0f0w9lFY8V422K+1u46ddClJtRZBSbcWcbIYAaB2 ZosNlIKHZ5MWKra9DB9rBMIEY9LH43RO13jgn77VGH8w7G8HhqRgM9rh33AG9+qo 8lnOwXfJXmp1LyFWqWO8shLn7UuY42yCaThnKYe46FdJgfQYsUNqHwKbnnIsagLt hjXkdBS4/FsA/r0gCHyvZTfKtjJqo0I+0mLOFys4qCA/gKh+2nZEjnhc1sze4kk7 1fds/RAWcuSUOXmgG7Z9M7SknA0lp2xBBM9jxCtUq0bQVcOLUpFJ6Quc9nR2G2Fp qPQnZcopqaJgPB1yQzEnbrLiocsq6kb2IClbb8d1vE2ruTmb3QCcWy79zPF3PNeM 9BjGUKMazprXHPk6rKFxIl1Tl1xsSaxIl1ztksQa51fMwt9cKAnjeJqP38fP3sYJ 9szXuEcPg25vjvafmdXANmPr77eWHYLqrpLeeVtqcqfiRnVh5saYE20YtK6MoGtD At5El7Xj5Ki63KFtlLVrwPnSOG+tbsmLhdgYbMU25DPBBTqzBA90BZZOa/vuSdHb btoVbmlYU/dL035GvnQTO4iTscrm+sv0fM/ydCeMGj8VTGQ2JI2xXc9wd7sGMfOQ 9SVBkpSUjV3OkpHVtMqSeP+A0JApgEitm9kdWpue43uoma6AYL7VhYSFewZOL70j SC2pBwG7EblRjDPOTbR46w9WMtPqfnBAFXfBeHrVjTSBzXzZPHoKBS/mr33PntR7 J7K/D9r0ZsgUJL2eAAbqnVDwxXrJ4XSVxX757hh0I+UJGK5+Pnznz4FrYxY3hv26 327UqXSP8sWmAlGoBfXS/njd4dK9uo0mLLaW3mewpTNFiHD/Kzg0Ef4I6SVJZBXD 1wKVWwyAFgbpVbdsYANLpRe+KrPp1QTMWGebKpWCzY5j0KgWhIlTc/mQyqYpGXyO Vjz8idswB5FS2WvyT0wHo031c8IyS29qcNcYmbeIyB9yMtUzktfUbpsP1aQKXYxp K3kP0pihYW7NPfUv6RHr5wV7v8YjSViGDKNfyFZVmi+RBxWD3V4IqKsnyQ2tCrgF NDa87L6xHvPdeyyw/IIQrGJJ+JrDIDHtIbLMZfF5T+qjOkkOV4ZDK+dt+mekJ8jt Wo3/FvXeF7XnLm6iNaI7ajaS7FVqRs5i8ig3MMwRMU5E5VcuWGqqwh+4SnW/JeJt CANxB7z8Vi01njTwE32Vrq0+/lg5MDeTar16pcA63tbNdCxSapNMzaAtLZwvu3EI P8fJ91jzJ7UZ9x+izEoR37HcON/DVEGusG11KtInDIjDtjfhIaRyTZQEAyyNdF1E fui5/XkcqeMkXtQUEJEw+632PDIyV+BD0MKN1f1JjPXl6IBJknb4PaI45+zmPIKD qxs3KGvXPxN4kV9ehmFfXMqtnHzsKUjc2zOLtvkwF4TOBLaviHjwPfbOY74eh9kX 3U8SddFOOSb7oGFzFLn4VkxPMgvVzXWTdNu87QgecqYzJERb+jCbTcSo/ckyT6NY TXfq2NzMrjwI5u6psboy7kNa7/3Rak1V8GPZz7zX7XdVcOi8Wpm4DlKf/2d3a8Sl fQVLmE5ztMBR1U8kWjNPS5KtrEQM9x2f9m5IX1YKragj5eIfEynLN/srmG5/4kbq WXkMUG+x+Tofj9h3lWTnGCrwBYdegzi1rLTNG85UjguNevzabGK7Zg1GWsUQq/60 qNEsHZr++qo4VE5wIvliGv/cefN90DK0vRBM66V7t4wdH/eCy8fZ7bqzoonBe+Yn LNNsU81D1xsYLoOrBdaK4ZZevDZP9KGsIRqYYjZ/7LHKXDP5RtPU5SVDE7II29Kv DcTgDuc+5+wfdfglIURRrzx27marVGWWV+y03fUEjdZjLJ3qGv4KpwpyIxIY5hWK UzFsGJnKvjiyU1WY5iapUyuB35/i0Lu4M1y0FjFfUffZfy4/28V6SRGvmwgbnR4f 7pRmFWwDDc7RVXxvO0fb7uRvFkKdJE/ZC5vQ25yN4Nn5HJByAL0Gt+9/ynUsgw68 YFWwPfKL5ZsXRYT9IDJokh8uj+lj40a0XwQ7BMv1ZOm/IKvRzkKNFOCvJDS+oTkt UWn05eoCTovBfADoE1+Xsecg0DPP776hGJaPY7LtPjHhQ/0MqV9L4lXmwBa5DmLg zRTEKWu0uKaKelDtaG+HQdkShHm1/m6c8GBQK6x1Pgo9KeGn0rC/CBuNEXjc7IOw 49T3rVCbiyBTrZN3H/TByehQ4qjAFqfzFYLqDBx63PS3aO8Lvx6uOR4tu8R4snua 5AAYvWO05VqAQAAz4C0cMi/CSiNvmgDDoqRjuDyZ68hKR00Y06AxxXWAtt45748j 1lhPEDm54Lx3wZUfm00xLZbbj309FAopaUyEajylOlE3biEXyT176VDGPrVQdrXQ K8jAPc3asnvDXjaP84WotRThphB3f5qXFVAEMt9hiH4GpVXkFYOKK4YNPqbKAf0S c6nVhQoz808d5LlTv9vOllZ/pP59zuBfkzp3yGIfTRFtshnBevjp1eFSQb6ONBVq 5zjyRuGnhcjCwtJulJOt+Z0YgPdq26Zgoy2JTUZ4LqbTdDsksm/l8q3Tv5lIj2pg 21YRx9fKWeqNV11VvCY5ZxM08AeZvMsbsTQeDOqp6yJMTWBKUtmVDjEes8h1qrdp uaufsptUU9WyjcZpF45+J/4KOF+ofTiDQ34MjOm+MQ7wv3ip3t4qJRBLY2osXi5n 7zK8u/sqDNeBH6XLT0RpMdEasK5fVYy8Igim0vpi93O25OIc10yoKeKeY/5hAzye S2krVkMyAXPiMAi6Jc/hJbI3SV+unDmBkDiGeADCsKQ25g2p3mVTNUzFc94LQqyd M2LesuTeqhmcc+fq0lLKbWyiQlyzDOZWmdpSFkFkhPr5EdnYqYavBloEx5ZPmxCq jmZlQ5B5qzvAvJ+0PDKFcJCIl2V+9tXvwGisKX88Q9QFiOxGW85ZPbR+GqzLkpLj yWtJ5LT7u9RBYrYkhzKt+D2lcaDToLm+fOMgWnQTLUwQYgTBA50eoxsPx8tXKrsP cWpGlL/RYQTXRFZnMcBw0seWeGRhy9l2+2Z7VRiVxUEZM7DWt7eizypA+E2x2mSV /Q+o9RUnC2Pw7OV2udKYW4phgmbF1gL2w9H2fijDiuNuTiQAGdMU62ns3ScCEVbu eCf2DJSMYkWhBKuqj0nENotf3bJeCmegdq0/RMOnI1HvFTnOMO+Nmqulzhkzm1BF HB9M3c/v/N6KgjXSY5bsjvm3O48ZQBAh37C10qffB6e+GES988yRPlOLgXb/aHFe racRjH2hZ8M6jN43MBdQKdKonaBt0LNiUW+p6u3AIFHiiAhi2lMIOBd2+UDHK0no lRjLkSaXsCJa5K5fXH6GVc83VVgZTY6s86SnqCR5EWRTpJCvpTBmkKsLIciSrLRX o06+qibjka2+xvvQJuTi2x6dLTMj3Awu4FbaFXi5Lk8c4IkUh6AspIJklVZBqQfq u5PXQY7SW4GvfvNj9LrjXxpmbyYjrGuhObAMfFVQiW3zIt+QL0tw6f1mj5LM1Xwl G6lEBaXSLIhxPMzDc2IqzkXQ3yE5iOt3NZyc7baJp2fyHmjE29dg53PriTb2Hdrj 1at2ED5V0UvhGApDspN09+jNJfhAYQ7sz4/PuRNA64T/oRZrHYNaQmR35MZhYbZt KAN6W0DEAB0MhHjfBausyLT2R7yGMEXSsHNIU3G9qMef3zcCGNZHt1p/IhuarPo3 eMRGb8HFoY/Q1EBnxdxZxki9Ly2/OEahw+SvEDTcfiND0YZz5eH/5iMPeIFNVCbt +NSJVZ+kZZBLy7KxYJLkXJwgUaxgGShBl32jilwJ59Ss062eymv/CaEDapDyNOTk XUkTLniwB1Xkf3anBJDnPv0YpxYEzO0cDz1zqi3/XDzMKhZP7aMc0Z60gflygWM2 21Q0vHf9taJEvOu3vBEbfSg7sjv2q5sLZl46y6iU5Z9EBcFevFB+1fx7KtSxaxXx gUNsjPY77pNujqC8P50w4ZImtxPdiwiVnw0AHkynPSV7mqQaHvS6ptqssovf0JJW GsWKitu7wkW1/W8HsRfuS8/u+YZdjEYnxEzEm9ADok3QTsbzqIFZnaaRJwtOTM+p kBxf+BXwZT3Lwd1HfVSOskuYRc7Ml9UXtc0Ty5XWRUOYsQb7hs0dacc8ZJR8L62X OF4SLTtOAvzN3X5P8EdMQLET0ERDH66734f6vrzr/uBC4UpT7kD+cBB0rKhWqZZ9 t4Vsyk98+1QZwGgMmbq1guzpGDj6IqJrpsEa5wEo/coC54zMBeGP6xs7GZLxp6Fx MLF5pzLhXOOCF6IImvQxPBGQT0r8lU62n88DMNL14O/8C/rzsFnWFe6LkOxWJN0i E5M78RExTQBU2LHiPbq9TMLEk3XdHW7g6xVTG+DHqQ9ntAan7kNFO7wjDxwt7rOZ 1si8RWpyJz+wHmz4odJyW63Dd/r3WZqTOG3hqEo3KEUEenSvhfFjV83nuIEBKF6Z Q3JKNZq6WkXZ82IXxXDCOqna37CpEQ4BeKutXcm+RhO3Ek/5bfgJnVAWSGml1IjJ /P2HQ2dQKvOxqCKsb/cXf4NTMXBuoYvm6ho9LYjhKAQqsds0FTCJrhUNAYm6J/1g nZxUO0yYi9YTpEpW0BaE4IZwAD4bmPSpSIvVI5aO9qEsIhRl82r64Fl55bD6DluO cw30/khfLLBv9ZabICuqV9Cg2suAdHqujcmboyCmC3cFuc5j/aC1Xo95MIsE6rfo zALbET9JBRjv9Wy7jrzN4RZPag+pdvAZfNYGsHOeQu7V8UhQ2t12/JckywFIFJAa 53iKk6K/BFs7xhYnQOubVtPG9dr8idD/A7xswPupZmjvyQSQt+NhKzCSYhZ55YIq jObyaaWNJ7gUd72a55XiNdldPDUQQyrshIoyw/NxfSh/KLysy1uO3hNVGqMosmwg ISZgohi51Cbob0kSK9dGMKOAHk63WgJX0JLUOeRl8bKeB7flnwPgGOOJE5A32hxv Jmb7DQP71d/LMZmMrxb32BxS865bCJDWgfwIv/S+s/9Vc3QUMcMT48loJ5vlx5hz ySSfbA3CBrGyKTOFQJh900WknJximfdwh1gdrP3Z6awajuDICzmD98f1Na064ovV EvJnO1LHEdYvjJR7tg6lW+IHNEp/Q+b6YrpEa5+TPuOya4KCXeG5x/gk91DF6Ii3 +NDLAlvtrFWVG6IWZqTNVWFxZu6DyCkNaOyTC8j4iaofXSvOYafLxqX55xkVv4ry qJb7EwoABifyQs4/n4gpQMvllEjaW92bJho2H4Ag1qOigkI8J8iWF6bin9l9TWdY mNEAaYbwALBu0xjKI0EkdOie0yVihOXx3d4fxt6fwhaam9/doSjCwR3Wutmew+Pn R7NdvnCDhOt+CIl4zEN8I2uVvL2wMKfJPutGSamUdvLInwAvLUsq6xNTkjAH6dHT 7lZjmneWBM0QoHLH+BIa7A0nha3OJ+NhZ+1XPhBJan7ayxNiOEDQroAJYmhlGBtA JKwF198NczdSJbsIMYREusNr290Z+kIz6jvJlHcTW7TPbIAHeBRuhcVQ5rt5OcqI kpA3Uu67zTo+yRQQThcULMlfGfwilGpA1y9orZ+06AfujpKRJWYRTJ+yQI8sG4th Dgp42FCl7QKM3yDaP0qIYCQof5YTKy5lwqTVaDteVlwB2xgpFqady3OoFakZrH8x 7POCS4qIZMW8oBxlHD9E1IwjbxF3f4UJq9Ttm0QrwWWVqfHTn5/CvxMW0vzGdCup E9CPGtBu2mLFIEUb22qCvRQVzvG0uynjryGmnhNAOMgYVdbuZWNwvgKjlXxTx6KY 9n3Um1slHgegwR0GWYchOUxO9/1kymU1KT1JtrAC6CtHIWEQNPiH3jF4lhFZqw3X M/0uVtGQozpBgooRZViNsj4mOevHy7eLhZi78eWq+UjwCYPIdTrIG8EPdJW4UQM5 2sKVAnUWdTtA3JqjaTsfEkFadG8s2qF/E9Z5IpidKuNn1ZVVVKOtZFcho315a0RY Wq83YtZuAny5/37OqKUgJ/u209o0DJ5YhuwBkMRsKr2+OwqPXiIfbg8CXH6RcmHK e+f1F1nyiU/GGK999eLJ4FnR4NefOE0HFzK9leY62ze1qaKrfSbvH4PuyEHngpp2 oMFpDzyt04WMyk+CPB847cY4tC3r/v378EJexmByMxZuEEzN3gsn/DSBm6V8sKoR 88bL2s1G0HtEzwyR7pmkdh/OuPZ00JJXa6mTUHou7V1kMy/j5F3fsBkJmNvT2TiO 2TJhhU4rBs/lTc/P4MiUrfU1vkovsapq+cD6gqbIr7Q47k24N6sEbtyB6tYV8XH8 PCRXQFS6SciwWaoz9nSW29y8EM0NFYRwr7dSln3U8UwbP6qSyiNPCwwGWreexuZx co8P20IimzWR3fNC+Tp5Rehrkqu4meqhNKN3t4qLzJZxZCtDFUE93xvg4nZM9GSD HizWlanipKh74qO7DyMLE8ODOs/lFVeDad25b/bszpk5Tj1Lte32qqlqWly0MK/H xABSt8Tf62VnpTTIxtz2trLUQQ0PAvZpMslprwECdWkB3GauH6QiyjqLKlvcCQZr VkXsEO01tZYj+gV3iKoheq4VEQlvC1M/tC9+5wkaKC3B5aqLVjlBD+tIAWA01TC3 9YBGvIr+E4Bus3NRZuyJRW6+e6QrqB+G4AellBQ+HTNZ+4BE0iFOtX+5E0WQ6V74 mFcj5FfayZlhETSarUsdt1xxSa3zWCZYDDzLWgBFFLQ/pOuSHwWqaNzFbg3ZWXej iLwULU486MAY7dIt1TqHF1XrenumVGsPLzXiF79MNCYNZB0oadhpEkKXf2NgGhBD 6zzgqPCLiRRr2jeNdE1L5smCUdzjtMS6Ifsw/J5rzE8R8yFkGV0s2bAnai3R241o BImFU5qqZGtSO1fmQpob2vOAgsTH5bbutXFo1l/VfVrcxBj0TUTvgTKRvCneRobZ MDBgjQ7PwkcWSvHIvmOPpxsCxCad/LQyy5g1zESVki+7aHnTYkpd3KZfKQH1wlZe O0dxLNEPGe/eZi6Tht41ZF3srwnvV+tNJQJWMfhNkJSrSdJYALyu8GIPMggvgc43 uqcbMgvSGUxoeGM43hyWUcFoUeHbhLNS5j3vg/jVpICiPdNC1yE2OcolZsmEXI3S qA+87g/+hNMAq7DJtnhTeF3TkV/IaobeEHVkVFLWKBNK704M7jinKqv7VQ+ASBrl wuLKB/31AiHWbJYNItRrJKJvrpw9EAOsCVMP9Y5tExiMd/mFJIco+uBhJqxm3L1n E3f8kFgu63SHh3g9S1NN4FeV75NcSWJ6IIzHr2Stz1tk3th3tQvOIz5UfPkE6AK1 Y8/jTKLlcnFMK0sxnRu1QwLIyUNe2E/3YfOgL9D9T065VbO5cx89oe5bkZlORviy Bw5hawLqhJDcHJnvlLnXcdEEyvD+mCHgCSlgaQjjxhXMnIMFVVgvKoX0JJ5KtENm n3sOMbImyWfgf7rFwuICaQ6YygKyWfByeI6unDX/tkpMhAdpKZGbfHEq5eSH68js UWMmbbKJKaZsWyRPy76lDjKI7mHb31ckHol/yTF6ZOx0VhVfisAGDTP9cggIACuK d/1IEtTfvsh9Ye9rgMd3dryAVLPfpq3Saw8ZGvU92k3VZ/KNM7E7uyo7fc28u6JM vDodHzDrs/wjmNAqatYQ8CwujXc2KLr06fGOoogEB2wMri9xGrJzoLcgOOA6j+qE gUW2gI190ejwHULRAbO38lU5q/GM8GJ0IsuRU+NDAnsaCysbe9VbX7eN8+HZuOH3 UkP5Tc8cqbOg4UC0MAat4VtoOFExahp6W0T0kEPSb/W2kvrSAeP3+KWQXdY85JZM 6MrNX/ZrwdvDNdTfDupIeiMjP6i4ZqqDVb3aVny4X37UgiYRfUs9KDuUtEsu6TxF hIBlcEva8SpKc8B2zqekctPZAwg2DKdPIrsrlD3qks+GRyiHiHk12VLRrlMdSrrO BAjmBfWn7lZ7BNJQBMVMS10bvdqI5lOajVdyTpNSrSg3Pank2pZdqRQ36EnD+GtP 0tPPDbaV40okbVJAG7UaatgQLxhV01XtvJmPjptWIdT+SZ/67X87CaXAogt3L13k SjrByRTZzcJh9NvQ60lKTUeVe6nNh1njAmkH0uidcYdodK3Cao9A8yEvy5jRs+cB RDAxKPOFh9nd/zMgzspgSxVDWgPid7q9Fzgrnso8cWB6UxAS8I9IDhhc5nd5RpE6 TG6sPBBqi4qpyExa6ZEWBVOsH90OJMiU7hWloFLgoYPENWzWqe0F7jaFYHGusO8a ZnraBvSihHPtb2nsp5EmAhGfBBIFYoTp5ahrHyseVk8GJ3x6GAwJybRvU7kv0D3z QFQs/6YCy+9rhxmqDUFsgbQ/LzBp5+wyeivGCOK8ryDwkDWI1//gpRCuuKMT2MNS QbCejEz9qZOlTrMo8bBXKXbNUSuaH8H1oG1C9WdzD9bHNnXzsi634kw6KOa1Oqxm lGRuJYeJHNk1vjIwBi/nTRl/OyU1R668iNFVROTRtMuIoA0FUJ+czMXqfAe/LboT 0Nz7fCWOfIrXMfR+f8576DZaglbGb/sherwRq8ex3XRke7j24to7UhiZDDJTEQPD eOqSbao8zXRQaHzj0G0+cAnHoqXinUoGkEY/4XNqlbV+jX30ZSXSm407TKR2GqKU wnbyWUKDkI9BMAY96OnKa+LcG/8+vFw6DfcK+Xqm4Y5+J9Q5DWQY7XVVFtkJiC7L 375gDj6zaNgap9TjjZkzCN4UTiXndwfCq9wuhZY5+W7WDLYIQC+72ONMmsd93mqX 1QVmMhFFYVnrbo+x0EPCYAxNMEpl7rshmUU0wQJQnvQELH/b6YloaXTVH0F/en4b NZ5LBF/yvo7lEaau/BT77s6nQhAWJTFmH/iRzsg89rk0pIwyZJdkdkb/SKByF5vw rFSQA+9fKmfLrrdES/hdrpqkJtrK4pOuhYlgsDCGq0P8dtusYNGa66hMoeLP5x7l fXwd7kz+zsY0eAvz/+UD//8T/D+RwNQaYOwIsrMxdrSCh/8fokeE4QplbmRzdHJl YW0KZW5kb2JqCjUyIDAgb2JqCjw8Ci9UeXBlL0ZvbnREZXNjcmlwdG9yCi9DYXBI ZWlnaHQgODUwCi9Bc2NlbnQgODUwCi9EZXNjZW50IC0yMDAKL0ZvbnRCQm94Wy00 IC05NDggMTMyOSA3ODZdCi9Gb250TmFtZS9WQ05ZTEQrQ01TWTYKL0l0YWxpY0Fu Z2xlIC0xNC4wMzUKL1N0ZW1WIDkzCi9Gb250RmlsZSA1MSAwIFIKL0ZsYWdzIDY4 Cj4+CmVuZG9iago1MSAwIG9iago8PAovRmlsdGVyWy9GbGF0ZURlY29kZV0KL0xl bmd0aDEgNzc5Ci9MZW5ndGgyIDc1MQovTGVuZ3RoMyA1MzMKL0xlbmd0aCAxMzIx Cj4+CnN0cmVhbQp42u1Sa1ATVxgFQcW1dqBVx0qtFxBFIMluIA+QKiFIlRpEQGlQ wXVzkyxsdmHZhKSICIpPfCFC1SqDPHyBIPWBDFbGUVGKSJWOo/WBtUIrPmAKKFpt N1DHEfun03+d7v2z33fOPffc8113l/BIgULDLIUhDM0JMCHmD5SqSLUUYEIUcXdX shDnSIYOxjnoDzA/PwwojDqASQAq8xdj/j6+COIOlEyihSV1eg54KKdaWTKgMECW JHAaqHBODw28CIFTIJIhSMhZhAAoKApEWLckgwiYDFkT1AgRBMOAhiQ4sBTqSBoR WT3NprUMkA20NcbE15AJssm8L+DB+5wKeJcahqYsQAO1iCiM4U+DvJd/bOtvXA0W DzFSVBhusMpbc3oHxg0kZfmLwBgSjRxkgYrRQJYeTI2GA95UUEMaDYPR2RxOkYSC 1lEQCDBfIeojGQDI5BDSDDXhJEfogRankmF/H9KawVb49PqNiBYow9Rzgr0GBjsA huMkzUVZEiFA37D7a+xNzYfEkmawEBWiKMYT+fX6b/Ggw2bSBKMhaR0QS6QAZ1nc gqC8lFgiAakYIGkNNANo5h2LhDTD8VsAH00a0DIsYp0qJvUFIjyZD4tMTuDHorfC yLv3CQpizKkCXyDw85UDzEfsB2RyadrbvPk0mWSEs4OBBEVROSbt7xJGloU01/+M +Khe11qSjxdCMySQXV+PIW3jvCd49SzprvvBNbrmQtP1yp1TYqqwj8IuZ26LGJrJ hOUvbmqq9/L+rXDtjsbbE69LmndnTBtBna8OuDPX7WTpqKMTd5jKfMTERYebTy6d mrNqyCObIppbQ6gcClpiuovWLyhWeE8bWfG8Iym183bBiy9XLTn9WYxuXGV9QLTT zObJ21lT5FB074sn5y90qh0U5p5D6rvO8ePyC9w3ZNNXGytqXcqKwcUL0x/Ixt8E rfKj16rLUNS+8iCIs/9wXqApkB1rJ7rl2uaye39XgkfDBxGqjtSG4QHnOkoXOXrG Zr2c1da89FLQysfRSAqnXr6w817gyIR2QaVTXMARwYn3WleyHomX7pQ/Topz7Pq9 ArQyAVEV9xvcsvxO/3Qsz4le2SOb2LW5xObTLKUr9TLQvS/XDn6Ts/+LK+nDN/rX /vFzYVR7tinn+yKvPkneMk2n8yTz5mfixfjoWEHorILrq1+kyNuqoiK8Uxqm5JfY H2gKMe1bXvPdELoh99b9HO9tzKYtZ6d7zMtLKusOPTQia/7zUmNvfvCM3sY1dpln SgJfNaTJWpZ5PnOpnjt1wkbToTlaZ2rPy4ATN8prNkvDvMWxpepap7oR3MI7a+X2 W/dtKUFihPEpD5D3d0Yg7emrr8Uv/1F7xJzJjjp7y3x59/ghREV5qGJXZGHs4TEL cj2TMnCqPv60pW79YdEvHYoVzjdGq/oc0u9+FZlbkEE4rstZ3VOfHRu0gZjfc3Jd xp7Wk1UFSxx8kKFnbNJbej85WKXS5+mRV4kyv7tb19fppDP9Z10MNjyKa5Me1wfd 6HXcuHcY9nnGsKjiya7E03xRUd+54Y/Y9q3nrn5LTCn0fZjmmqdzqPl4nNrP+8ST USbbGcdK7jV22bltujIZw1QeT5sfxh+UuqafChwLWqZ1u4UWL5owqSpceXyPzX7b WlTm25E97/nIh2ynvK5JnRITXr5JNrq4rNcnjl1RZD6yqilhuiV4p+2vjuRZXHug ejsqHoMGPVjnGYn+yw/5X+A/IUBQEGc5xoCzCQjyJyXGydwKZW5kc3RyZWFtCmVu ZG9iago1NSAwIG9iago8PAovVHlwZS9Gb250RGVzY3JpcHRvcgovQ2FwSGVpZ2h0 IDg1MAovQXNjZW50IDg1MAovRGVzY2VudCAtMjAwCi9Gb250QkJveFstMzYgLTI1 MCAxMDcwIDc1MF0KL0ZvbnROYW1lL1JLQ0ROQytDTVI4Ci9JdGFsaWNBbmdsZSAw Ci9TdGVtViA3NgovRm9udEZpbGUgNTQgMCBSCi9GbGFncyA0Cj4+CmVuZG9iago1 NCAwIG9iago8PAovRmlsdGVyWy9GbGF0ZURlY29kZV0KL0xlbmd0aDEgNzEyCi9M ZW5ndGgyIDU3ODcKL0xlbmd0aDMgNTMzCi9MZW5ndGggNjM0Mwo+PgpzdHJlYW0K eNrtlVVUXFu3rZHg7h4K1wIKdyvcggR3igIKKaDwBElwDUGCWwHBgjtBQ4BAcLfg rkkIEJyTvff9z233P/fltPN2213rZY3R++rzW2PN1iYbk64BUMHe3Q6q4g73BoL4 QJIAsLa+OADEJ4DLxgZGQG29Ye5wJVtvqCQAJCEBAij4OAIEBQAgUUkhCUlhAVxc NgDY3SMAAXN08gZwgrn+cokBFNygCBjEFg7QtvV2grr9CYHYugIM3CEwqHcAHwCg 4OoK0P/rFS+APtQLivCF2vPh4oJAAHsYxBtgB3WEwXH5/0JShzu4A8T+adv7ePxL 8oUivP5wATj/cHIB/lDau8NdAwD2UAdcfh33P6tB/7D8t7H+L1T/Hq7i4+qqY+v2 V/yfMf0X1dYN5hrwv3R3Nw8fbygCoO1uD0XA/91qDP0HTRtqD/Nx+3dV3dvWFQZR gDu6QgEC/7RgXiowf6i9Lswb4gRwsHX1gv7dh8Lt/x3iz9j+RuDX1wQr6YB5/v6h /2i6tjC49/MAj/9M/cv8dw363/Wf4SBg/gBzAT4BAdAf45/7X0+W/7aWMhzibg+D OwIMvG3h9rYI+/9s/FcmRUV3/5dAIVEAUFDkzwYSEBMAiIkIBP2fRkM4zNMHqq4E EBEQEBCT+IcK4oNAQOHef2+CP9/7r9oB9mc6UKg/FIKbnUMBQ7XmZeC5sDnvmWU2 /jg6p4vb+f4kQ+SygHJ88AeeKwbfvHNUhIvu+QLBzZFufPoVJ6NcdF2wttTbnkur zwEBtJXfKLkdhjvMNy8kqxL2gJNkTWZo/N2n0Pg2a/MGngKRl1YYRCtn9gXeHl0/ +5lomm9nvwR3LdpXmvF0DS00bMfutKNIQmaV/TSTeXKtL2sx4WNgezMy6oBaQbIg t1ChiAfDX/JAw5DpRjUnk/ripoIRPrrzzeKCPTU1aalxy+3AfnZcybTASo/SIvPo JjAFDcMTlkZMixdgrqiUeJeTKilEFaQ3KQ5uBqBSDibQ6QBo4igr/FI+Fn2xb1He yWoUizrddoVj7Q3Y7WPpI2/4NuZWnDA5mGU04b8+sXlmhxSVL3Cj2tbZinQV9rw1 eVgzk/LjUqaC0lN2zrMHSbzX8fT0AXbuSn7KbmxAoz+wanpwlMDDqdbOm5l/UuIN vrAco6pcTPt0sc4ytIOM7zr+jBPC4is5HDk6P0omTruno6Zu9eVGH0NiISQ2YVg6 1M5HJdsJJcpZOTjoqfm+45e6kSqYN3d8Nu4iWI3nrLgK90T+4xGsgEWqSrTxKxBY Kshl9AXdZ1IfKoJSfwbkbs7Er1oFIjXVqX7rWdl3yKR1++mb3AVV6ygWDzUvvVk5 1niFH1s1OG+l9nWHSWzdAt0xxNI59EZl8ewuxGiOz8LGjM4/o3VSnp63khaVuXCw tGI9Deus/yw5pSA701QiOawrBoNcPyZUvMVvOUPgEUxdmFHP1FcG+ILyNe3ZUJ4L Q17txzuJrqzytRv+Ivb6Yoenjux0DcuDJkp77ilkHwxkN1yGVV87rBqiNb+Bfzq0 Jb4QxBynfyimMaZDA7NqCh6Kt3IWPLWrlRpXdRbsFaY/bi244ZaTE0qhmP1V4fdE PtGBaoLVrsDEJPvZYX97uquL5BaVGHtkXQcyYYsASM1mULlpYasaRn7wvFnCPOrB 0t/yWGH8gMLVCy+O74DlgKm+fOEwhKCKNQwrRBD7c6zl9dqsashtppQdTVn9iqL6 bdQcGSkjVql129tIDVkBFId6IIHW1Ns4YHFjkpdrun3qQiCsLFbuhIEqhe2Ws3+6 LM+GuTwRsErPAtxaIhoJKX2rnto6tJTB77RVar7IaROR+0q/xjEk/lpMEU+zoidw HLVfDYttIO1+H0X/U00HQeOzln4koRLfOgR0r//ddsI7pS75GQa3BNoa/QPHwto5 g9ANlYrutyV+hdCVK8R9kMhIdaYhsVXLyThdf8vQy1+ExgUgb6G6LJ/G7N6+Y/Yi lNBDdEEBpo3OOf5oIzSWw7JZUdSVmJEuva8+Uk0kGKszfddxQ5l0QUNfs0RDxkZQ 3sw0kXYvRVhNoVw/ajakFGx8KLGqZDfEvBe4/sGyR/3ieDzd118joRp/Q6nquvGH TWwr5zh+dArL68uvnE7nVKdEOMaG2g7xDt3071WdPS+wvCbWD+kGN84/fMd+lzTr 6o6mGiMeIh2Xy9qYtHcBNvKbGRMcAovkbRGq5MvaOApk+6vRrU18gHKXMX/Z7ru8 bj86VGSPPL8pcK4cSlHhcjg51V4pv/j5MiFrQsdOSjSFPe3ke8IourNujyohJWfV HE3Rbm2Q/0/ik6HssSGFbhjm6tD3qG7DSVZheeqFgFWTvLNfr04NtoszNYRd5maS Dsr9ECaUztjVhcSXkA7eZfeEa7hkkc+Rnu6NExE+6wKDTGUzchSgZnD1JF42Vh18 kfb8mDCjjnObZWFEqNnVBhX+Vqg+4HxdYf/OIWSOpeNVt2bdvPpuwoha8Lxi0qvl TMbwNEtJUsbwMqlhwpxJPoH+yRVxZN2yDV+bjCvt8I8G08D4X3U3Yuw/rRv0fUER Vwk3PgfPqtUPH15wLfq/sdiVZu/UzRqP5u5nkefUVP2R0zQaruj9c/4F9ZcCFNhD XA+g0+NIFVxRfdQwLEzpfmoScBnrN2B7UVFNrAyrqMbc/Pyt1OyyiS4HU8+UKuSE Q3vZxJasfWZplHee9XnLHNh/L0AW53WDKY4eckV/Rc7UL7LhXiuTjnbtxDh9ycui Wo8nTWZZH5KLIou+lSltbJSltRMTrjjEQBNH1Z5IE1l0uT7k8K27YI6iKJSU2VBG DJfbPelMz15mAoWU1eQp6D1arytoCSFjyMdgvjiD/lwU6YbrUvcuxitvM+/ouWf4 u6g1mQ86awTIJ3bGz4f0lCQnP6KMstsUzlr+Jo+qVYjQkmpiWWPfyOPTf4+YzTki YCI6zSgREdQKw3ZnxJZw5tkrDSQWMVtedsla6HSSNlV7PZIjAAf2k9XklZfFPPMj LOlh3O/VRN4XRiv4rpYvSuyegAYqySUE9QVn9MvQtLXkYBMbNiGlAjOlUMbNEQXp ZUs7XDMjdqHxaUqT2mZwBsoxT+AdFzXJgvRmkMUZE4zAfc31vJ6byHu8frGJhTN4 kj9rFSD4ojon3pIyxiC2XAL2DnT2+Dwnrt6d4vVlikPoAiSOppGZNq5CGbI8g/Xp 6u3XYpNrryA17WTuxPnv3c2xW3mPQoKZdudQtNg80eOOUXW/u6jfOwUPX8BQGq9O Vq4bFYnSrkuvJJZ8llXdcWmRx2j1taBpWAtHjVS4zaxlJZHcMFlgW+6SvNj94wWn vPp+q33VGO3kfhyWmPr0WNzQB9VH/IL30yV9ziNDJ/75nwGGO4ZqGIaSrrcXzF4C dNhe7RPs1Hiy5va0kNnW8cTG+R83Fc8YPCAL7+qeIE3UwqfZOb/9KMLEOuHkvxQv +d5vTCmhuUT9Bod4Unn41iNHbqDNsteg0KWrhwcCSXOSQ8HsDj2toVrMm5F/vx2x M9uoLZ1uy0dGPqErJ7TQtfX04TAKMyNxu8e1QKphiveUOfjdNsxPciHmst6xJa4/ Kbhsa0FwfqF+djp3+5jppQ4bOytSYAPr+mElZvDWU/qyaOoLOqkCMpmjcJPzFKhk 9TvQB1n5A+GbsDtYUa9nJtpQOFwRwmzR+Fs5v0xlUWlhXlgxmJX4LMXhhbYO9uW0 P1RlyYQ1YnK9tuNNipyIeYwqi8NM2c3Tl2kh6RZcH6IJeEPXF8unJvNbn62+olG3 oou82tJCMFtE+L5I9eoFDWTP56CK7SbYczamvGeIelwXnFncZUS7JGc3HhHgNrlP en1DqDtDzRuvSIfJ2qs0yK7KZP78tQrq76vyuepXdB/snXi4HVwsqve1FSmvwwVp iFzf9LixHdiYIZIDkz4Q4Hfms9uMk14175kuq7aJDn5IZ1RX7Mp27Two8Cr/hFBz OT1m5CSdIZqcsMVFiRS3AaFleLIVqhVF83xeLkabGi6CamSVVTei8ILmZckx8w8C 1WufDPpStOv1ByoCx4UAlKqqBmrJD9fPFWXcH12kug3Kmo3qfmKV3oUlrogCsTnh 5FCdC1LrSKdozPksUJu7BCIrh97smYlpfVVQpfdVg2Fckwt2ThCDw62ZFXtT64C0 p65X/ok99dQmSoEa61Wr0l4KxQHWl9whLx42q3Pa75J+esTjYWLo6nE5390aom+u 6fzK1YLWI3q142sWCe9V+TdC2tqiem721w0hxy89BbFFkLe8/OnChWF3vaF1198/ HZviSDjiAUEtPSpihoiX/sn3TVscF20MHpIQPt7pag3kWgmYsq3lS1Y3QGs6Fbuu u5lV2ixsdAxGonJQl6TBasmgLqzeffe0MtHrO6sIdWyBSev5vp3tAM4jBsRiiV1O DhDH03qYB+hdr16xpHkun68CouJTelJcZRzsP7Er7vchkXbVdRikdcvwm96lH72a nKQ1J6urgEk10xTIjzT0d1Ys0BaSmr3CpBTPXbvre965Wz+RWq77g9lAVL3WzexA ujWioL9mPh6v3Pp0r9a0rZRZSAcBoFeX+n4Zng1hWd2Iw0c3q7JX2HmJc24Wqa44 OlklxW3n2LuGs/5S3NuSLVRaZVbFwIVYKl0i5mMW046YFCpBMfGinzB8iL/czhk1 Al/AMQn9Ne+dg8Kf4zh+pCcBrgeGu7/EhOBbO3Edvy6zedpkBpeojmMSdvQITQ56 qPnV+fpm6aKv8WWyMYN2e3rJDaeM5Qe6wO1s015ip/HKriAVyR+hAMtHVZsfIsIp aPJNMziP9HPUOoQU3jKlm2DL/Qpng7R7rs0xLN7QbL3Maow00VNmdMqwzJfztIxO Ej0c1mOjHXj4a3i2mYmq8TNEtlrvRqi+HBFSa52SsrnNtruI3mV/rPCV4NYoprjp iINjxisGBohU7OmTe+rbtPWR7XPrMRghR64d0bVHu3NmFjxKKQ7BL/yurfPGD96J 55DxVux6bM2n2//ydWzCd0sfz34bAUwoaQ3+ChGHM7jTVke4MNT0E5OtS4vu0D3h n0r6WXoHAKW5eaCBRvqPQl0M/UHypNHPnZaSli1dCLYjaiZIb0EjN7RrAgPdtYas 88MPJYWXNUWdbcaurbU6RFLweNj9Uc9ni7xAShzMcLs8DRXZ/bIDvbhqhDHZsd1T x+vsmpJ9IEb8XOuQmPX11BgJAnThq36Vt+3rcINLplLPlOyYZyC/ymEXnTlWKm1b gi307Aw/7ZOjjMmNh54aZKKZWEJJzY9UjqPfXBSDDguTc4BHswRgHljZYj6c63W7 bfr7RBLJl1h4KK+Zhg2udI8lvjEZu4hq5DjLVYOWJ+nD8gOBI4RpG5BvK82vuQIW DcP5HLhBp5YYr3g9eXjZamyQ1+eLrXbFM/6niXWBhe88gNepFtbfVBQgTbzFJ7s2 Ph8SXT4rDBjwyQBzkYnfnsW1RDkJvSuue+lB4PoYKUnlFlaa66qcNWDlmkqTMBIZ +mtUMc+FtuQF8cPpZU+OxZOxNJGeHZEB4ahK/Px6q1+EnCkBGd9fBRe9uCc8PLTZ SuqNzY+hFzkjVMnD/h7ARqzTKe0Hbz6ui+1MIZkmxctgezzCPFwjCW3bP5nL6JWj l/7FTovmpXD1c9fMYbipLd+ARDpMD+VjlqLsJ6cteNNI0uhkmZxz5D5lWURLdS4Z swtRMHuUIMtDU1vYs2JLq5ZNQupoi0sO4XUGzWAsuznz/ltgmb4s6UYoKupYSPAJ xq83a+IGzQ95fZMBqc7U+OgPW4PZYmUndazRtO8pblP9ZJJIVNm6qd89LaBuqH4d XuVQQ8g8daWKVl1LipmFB24NPkplTcGe8a8b7wxiWSVui7jITFXtEON6XF12trW2 EhhMFGMTSRGeG/bVHqvqcsDnprQ7COX4tmWS49ufw16dTtDtThY0uhOTipMmw5sX +Gt7dC9NxLKePbDQX0UbeS3v8DmPGSU+XT9NS0OJSCPAa8dCVKW5HbYodE85AA4Q FZ8yH5/pkpT04QVc9lQavxY0vYgV1AOw4ZPt9wulz5MdmCqxBCvQ79DlNto8HQAN RMlafIpYjEey9mnwWD5ZjVhX/ITyNbnjIDLSZ2Miz34bieSr+ymEVsq2NU1ElRQm ZqE7Dyl1/I0zoWdaR+XzWOt2Nfg2dz04NQVgNmEKjrQmpH66y3KwvL62xGn8NnJM +7HyZCNjbziX2GBoOsEkZfPzLjJCOoKj+A7JyGCyUXgk5KPkFp67Gn4ujJv6WXoN kp5Kcfvc0d7IKAHyQ8utCO06zsEdEQY4CvGNeYVe++52U3Iqqk/sY+3JceUX1hQL XNE+Us6zbvpiT0HPwjf3cVqmo9YWHz9bXEm/KqVO5yMpkc+nVAzYMCRO03YaRw0C WvTMnOkFQdQ7t/TK3x1JE58HKCa8vePPaPhmTwa7cYG2E2c0Ow+XUkFi6N7+IHdY SscgLZf+WNBJg0ZBZkVY+lqH7EmoyYwu6DQatVZ/uTcG3LvE3DfFM/niU9gWibLb ud+ZFkVrNh27bhMCcIh7CczHxr+maGn5odlJ3PebGGoceUH++je3NP31dfKz8wvi 25g4tJmpT22RGTXP+L3VfQVw2Ojpqqyliajka7VSgwKVuQTuRQfw17Yz499sY+VV USDldChls4Q16p8s3OthSl/6JVMA1Uz99TMutGaJ6PbfRRRqGOrJGJF3/JZRWiUJ xRoq07xqqnl5ed86FYBBWlWl9VHBhCUMafAmGsUYVT5LsZs8fOWAJZ0O+LZymeM8 oRWXcYtqfK8ox9B+ichsVlr2wRGelDurtfblDdKdSAvS2cdqRODHG/Sre5jvFcnM dW+JiVDlg49skmjpS4Q/qcgVlUIbEZrHkc318au3+OgldY1GGswIxiSTdlQ8NSWt la977Q79yUzlP/HaljFttG7mDOIIfZnRGS5/YHqm05CuNHuaW1wS1a2KuVc2iA4+ hahBhvFmPJZ75vBVzXlbjD7Exlolz3Dk95zlZiSabnSAtxLVy8VQLLueyd5z49D0 4JPpxAGFlFlGU0n9fOirTPbS2OQ3U9Hjrbo1VUcqjwJNaQLC/SkdWUslux73HNFp xz2tZdKJzDcK3N4rxGsQqWIVBwRctqk8RnkRD+FG6KMfkD9h28cALcpiqMu4+Imn ya58ZpCeFkVxdPEJHy89OSW5fvNis/d3bboxply7e645O7yRKew57atUxFNApzUb iiVHlc5PzlNXvU3EPUnzMqR4xmvIlL9anvGCbDKCrz6Xw/FLEOedqNp2Ce3yNyFc 3qUotwkLpNCQXiu69UAcYZA+iASfrOh3zEBZpoTNeqxHDCB2Iciqh2MWEyiKr4vc X5tXpMBvZsr3f2/2lmBS+aGzSUcYtUXk/mKZ/8ugRGTPOiznWj7G+Vx7U4fl6cj7 gtY+Sej12vGZnbxbC2PJ7wu62nLOwKXsKNTSmDOwSV1Nddknd8avkgT+341PqRaV SdtGHk12dxjrVnitrJQbPH+WdZNIDGr4ikdGcxWnVZBmQ4wEe2IRaH21dhXkuruv +FmbR5zbiMBe93x8I9Zg7UG7noVMgEd02MlnNxdTZTbKryxcRfd2P53pF++sLnp0 0Lw49J4VFyrHaDowp5GNMWh4+L4q8h8STp/UNtY9PcZb3T1PSPRqWXT+7ZaimU4P Px2+4OXFRtYKmeLMWfd86+BBtEw3QAFT2LKMoYK/JgJpfehav9W7KC01504/14bq yIdalBl65RaKtPE54fLcQY27Hzl++yxKdTmL1xXmkSmaGH263lEYWub5vspWT1xb ZzFWIcpcBkwLCHkUeX1h+TBw7Re651T+I2IX3mgk0u38AL4/6rAcl9g81jjUii5+ FlEt9VTBN+7sZ9oMXhZkMJ+f43s7WnmTlbyqC6+AWqxg0x0tUjVTAO9xCpCDkwyZ +/AV/T2twq18lrh9W79Ez6zWBovqrRXXUFJ3FzGaQdvsXcZ+clK9fauJtTXG8MdH 3i4lKYdqKprEb30qL1mkMsvsobr6Ri0huJIu3jsLwSN34ZVK1RkKOgrRj7ctT4T0 L0VFFPZ0a1y44UuSbcR3w8GvJ5nwQ/IRXl8kxfy2j9/sttsumeQKFxAvaKDGHTru tPGkSmUyig0FiLbcbAAz+UPkbo9DPhVb4onGtrOozj83P0pmlv1p4BWR2yVYGIfv vSKO4gHkr6IQPrxjBFeUMKW3NFgHE/K61yx3qgRavjtwnJi6msok+xnVdZPMhhua kJXrhTC+Gu7ng7mfKOYsq6fL+X+3TYlqd3sqG2jXghGG4+n0qAvKzYG8K9U2iMT6 OmNxLR+VPXMXyLZiWI921lqxKGBqfvema+iE1mpfejGmUE9c2f9a9wP5sn7ODe1l kglJQxlZrcdnfLpRCaXhjfO8DsR+tzeYTeB/eOH+/4D/JwIgrlBbhLe7my3CBRf3 PwDGx4JbCmVuZHN0cmVhbQplbmRvYmoKNTggMCBvYmoKPDwKL1R5cGUvRm9udERl c2NyaXB0b3IKL0NhcEhlaWdodCA4NTAKL0FzY2VudCA4NTAKL0Rlc2NlbnQgLTIw MAovRm9udEJCb3hbLTUgLTIzMiA1NDUgNjk5XQovRm9udE5hbWUvTkJXUVZBK0NN VFQ4Ci9JdGFsaWNBbmdsZSAwCi9TdGVtViA3NgovRm9udEZpbGUgNTcgMCBSCi9G bGFncyA0Cj4+CmVuZG9iago1NyAwIG9iago8PAovRmlsdGVyWy9GbGF0ZURlY29k ZV0KL0xlbmd0aDEgMTAxMAovTGVuZ3RoMiAzMTE0Ci9MZW5ndGgzIDUzMwovTGVu Z3RoIDM4MDAKPj4Kc3RyZWFtCnja7VZnWBP9lxWlCQgqCqKiQxcQktATmlTpIBIR EDAkAwRSIAUJJQQs9CJFkKYo8NKVbgNCUynSpOkLKAh2BKRK3aj7+nf975d99ts+ O/Nlzrnn3t+Ze+88z0iJ2ZxW0MMQ3UBjIoGiAFOEIQADSzs7DQCmCOWRkjIggSgK lkgwRFFABACDw2GAHtUDUIICMDWEihoCqsrDIwUYEH1oJKyHJwU4ZiD7XaUO6OFB EhaNIgCWKIoniGcVQaNwwGkiGgtSaIoAoIfDAbbfU8iALUgGSX4gRpGHBwYDMFg0 BXADPbAEHsh3T6YEdyKg/pPGUH3+CfmBJDLLF3CM5VMWYLnEEAk4GoAB3XkgVkTW aSDLy//Y1n/j6s/ixlQczgqF/17+e5/+LYzCY3G0/xQQ8T5UCkgCLIkYkET4U2oP /vRmCWKwVPyfUVMKCodF6xE8cCAA/UlhycZYfxBjg6WgPQEKiQr+oEEC5k8PrLb9 cACx0rc/dUZP/udEfwZtUFgCxY7m86vqd/UPDPsXZnWHhPUHnKCKUCiMJWTd/zw5 /3GYEQFNxGAJrJ1QVQNQJBKKxsNaDhZSBQJhAJaAAf0B0J9lGKJIIFJYKQCrJ8GA O5HE832cKioABE3E41Hf6Z+MGgDxYU2JiPlFqbFEKMovyFpCiBsJhfYGKTjQ/Tde +Rf/c+y/Auqs/F8IBoUCEMxvUAmAuP8GVQEI9jeoAUBw/4IwVi7hN8iyQvwNsoyS foOsUuTfIOvNKL9BlivqD/jv49PXJ/oHKqgCCkrKSoCqiiqgBocH/1cZkoD1pYKm hoAqFArVUP45TTSVRAIJlB9fC2sx/sHuWNYWgaA/iObJyNyPZXM9Liq/eH6BOSBu /+DZoA1PXd50murSTaHup7O8OA7FIa/wy942C8O7Vj/ZxKSuHDuqG1FOt9RMYC65 NNNoB0tGhOTcOx45TSwiSmPfKfQKVjtuhzR8AWPuuzpVyt9UDXThEBj9irlJ8amf axUTqVkbeEKvf4EpcZSvbxuunIyaergNgR4wumCeKJ/lunSXk9BlgHEUPEC7qyQY jA9TvryJnD+hgAx5XmXiPaU8Fluv9cxUZ6ENxDs7+Q3Asn2M4KN+d8EFFzzR7bNp Zvp9EYnbGAn6souo24DCfKGBr9YjdDnuAGNzuhet7i4ZP53FKbC8M+Wo4lOrZ0zv usyWAnD8K9UIKTVVQld0i0S5pHUHvfHTxO57ntta6yR7j127LjLmmdOkCafF3B0I 4xs219w6g3FYf2kwv6d5S/91efeySeO6aXXax9HXTQyFgaut5gzIhmRHgB9c1l5w wAqdsq/E35iT1NYqrF8G7JsUDMyFQk8xiZ7olKKZK21ZIemp25LVmraQtT5jOoyu 2QFdywWvks9NQkrMx34Ti+2B5Wy34De3PD49D/COsQgzHjmeUOswsmNNuu79nMqi rcSMNuZaEZ+ZQiA6bYzgxU75cmiXf8UwiDLeOfd34voZs+rE3f5VyVZ7bgnJbp99 bW0uaxhVJF71MXG1JT62hao6JDwS8Iy7whl+OPVx64kynrR6Z6/YPEwx+X318+rx tCyCVPNtl1xLB2/XwQp1TehYsEPjxb1G07V4L49Qr/sHGbcCwNTHr/oof0frGHWw lY1NZeTP5OjH6U0jQzh2770dmSHikmtmZbnNAx6bdeKjtIjL2lZftz/yxMNPkZgl uCAqwTpvPHzyjmZZ1fuOd8j4WvbM5By/dMhslbVHxtKcZVSq+b26J+oVec5Mmzo8 H8TumojhTTH8ZV/PybbrKmK+7mypz969Gp/ncHs8cfCe6CrjmHmQfvLJaBx9D5N3 z0X9dfH4s1Q1wthf/SrO+mmrQYUJOQyRQxuxpfvTqugJ0rHC0Pb0rmWBCx4riyP1 iZbSjvdy3NFfNGUu1HRzubo5Oa7am4l8+RtpxKfwIG6sTS7XiTnWUNmnXFXwpHVY TZrBrp6FMK6zRHhfqWXU9dyYOeJWvZvRFV8WF7SiYoJoZBut131UMGNxBTqnIV2S uzXOUVmxS0Wc83HoQzyeq0+1qMXaZZa6GikMkzBh5JpluZ/hrnZpnNnnPniRCJsy fFWjEZirgkCE976V3ejDnl0gu95Ra58w3DUYBRHv9G0GbLXz0gcEnNJQZSV62AtF lz46iPK6L5YgfL5pK3O2BCFL+j7KlNvByVDNFO7ESAG15dcT/Ghufm4x/2fXGonz oJeKTeJg4bvyfCtnQe9LJ97YT0hnhwt+HVh/C02jf/jk+hIus3Fj1rPUzL7+VrGK ecwmLr5IJ2xbr3m2MfMFvDLxyf10ha4c3ma4r6ixYT/ThEzv0ciD/aV4tVj6dp8/ bzVwY2JQe4TuAAmzpr1n25SQ6uK7kyfHGVKofM2uVazwc337BqZ7m3TPkrJFr35h iLXp3bqe6Bvpa8j5FQs5iziLCSpBeKnlplyKF3Nx8/XqUAnXJ4kXbMiqyrHG5e5y 8y7t6eMG0O0ku5W23REOlQsy15/Zh+Xs9mdW9NJrZ/iMSyvsuZMnfMb3nu6/X7m+ 4/QlLSQMLiPf/TQscTj5ytrLom3ol0TuPUu92lp3FnMEMh8oLmfOkNcym/WDppAr TVn6lZkGpa1e5gnhT5Km2TKKziOBKqH3u4uS8EOk7QOml1ZLFWDacVqdm/kBTicf rq+SAaeTd9qivQ65FlmUbcd2kfbtjrjb1jCa6PqBwb9jKNLs89iTOINKCXem2CWz mATzSvSST7vjpnB4fk6DJh+fuPD4qZlg6R0bDa77FTV7szJ0ORNiZbaQRH+P7K1g S1TE5+Gyy7Xx+Od1o3oy4ZM0NU+uq6+l8i4VmZZ3n946ESkyYuLocn5S5MubJ6et j4tZHUm+6pBgtS35K9sBHwynboCM9tHTbLb3fNXw2bcLLHfUPbaobRmD0jvU13u8 lZDVS5W4rV6hgNvmX2/qXnDxSghyg/bAA2VUdYri4bNRdVWpdjLnrdtAnrVhv7NG PSoxVDnS/axdfhoRuEut9osFbZGwj5yhmc4wIwJvaQ9LUZjTphOkCH/vksReYyA+ 2fPy6dzeIM1BDYyBqc3Oest57YaFgs4JhStBN5XP3c5MfNBXt82jMje34Ag5aTIU uyN7eRc/Z5EPtTALL2cvXbrMbxRhgrv8VkLmmGkZhaGzK234IYahzTQ4aOSUk58l 16VXcV02ajvHG5nYyJ0pYVO3yrGXtXz4O9y2eJpComF0LivfO8kdsed3XXL4q0Js S5o+NC19/W7qW/8wHTlH4YuF1lP3OL0EB8lrZgsi5O6kCvZ8yBdOMCQzVBt789rn 8vY8dml0agSQz7hTY8P9kbnvdKfb4Tkmp+r8rSJy8VbXIC+y796jvticM6dCJIrC HBJ0weLgQ/nrAEncfoq+YXJUpJQdkXVwcW/iYyYzsCOC7WztqT3BPHIraX42Lj0u Uj3qmmrCkldN5BGbQ4YfI0Lc7Ks9F8jqH+cirga1yUf3um5KmXR7fJwi8dWG4vqd OIb8UbH9V74V68E64a+xuKuK/WawY+3dFbca3NNktpYhtCifJqjSX/I5q0UiVU94 Gy7STnxd0j2qK3y2bysu6KyhEkQnrD7GCqJiJQkxzqs5gRkzWyaOHLDonUGLR4YX pISjmPkaqE7m82vI63Vjqi/svE8zrfWkbTOLd0sddt2iJeFi1t1SdyRP4zgsJxFC JW+DO6Vzzea/khPPbzcJ96KNvqY97oposhfruIXtr3D4/Eoj0Gh1R+GB6Dvpxi82 G+HsNq+60u4OAiezHy40CEwoJ+QitU7Ov6o8HLJj/1fmTJScwMbw5kubWajGFslz cf/zICGRWmvDm2l0/z0+/jERlIx9u0wfILSdEG0KfOSOev0q0dKQF4imKPGWOgWT ZpzXyZhT1PmjeUccADTvjfbsb830StrROoQP88yB40LYejzb8LRR9npDsFE9/WEt T4rPHdF9HJwVJ9avZF+Or9k8GOYWMW2jJdpTIea9v0142O+VhqNIdKPLICKTIir7 8p7EdpWm4u7Fobsr7/o8+1/3aARQE00DhyzjhewEEM4v5nWlL5TZ9rsoxeul8uYY cH5t2qvJqd2ZnvM8rK9AeX5rdurbXMb0Zd88kaHDejEHbGz1drae4feLTFGqvxAS 3cnv+egK+QPT0tpjsbOrbcd5Qvnxtc09t6244x5+6IYZ0CxKc8t39oxTnVeeZmZk 7M0w6FFLa6L4+8oJhlYUa0xmLS5/iJk4JzjDduOVM/x9Gzox2Hz2yIVDMtvcBl35 ut5Mx9duJIldgEhozO3Xr2hbuPQ6XBTqcc3Nwq7bpqamZ5XP1iMAo48ILmqNRT8K jdMg23ppqV8zC468y1H9YfaDXvp5nfE0+eRFDda/iWQ7u23L8Q8kW+zX+NrnRkdH 806Pu3mUjNSmH8RFjNZwywomvXphiDoCf3rDTa9n5zrXtcMuHYEoRnyhubPnyLOl sg6uPLWt6An0VGLR+NwoPFnJ5tEVGxmf/oiUOS4q9zdJfs0+gYrw27HkY3FY1WMr UWnhzPVohrgcaak9NkKyp3lpXpovPjFyrDH0VJfTWwjjEI/LblrtocQOLs4Pa3qM wJEvf/FHdp+9S016uueN6eOa99ztglPNYVhaQJC/Nu04Y68Ln6SWYfrl8qukvmYJ zLcG3/F00Clnll5SmOY0CvNwVxq/LPOlha5s5y2ZHpf85n1ovaGjtwOdXhJU0K5W P+Yw1tj0SUjhIGQlW2yVfGp9zMuKml/e1VcgOub7xqhAW9WxMl1/WF77aoFcq+1o U8XhAvZKHcl7X3iNzvcUNz7ZX8IF5UrPWbomQCknbb8kc04ouzMpavKJq6IkvxEB +W3nM/ZDmCpx71zRKpmSTGWNMrPrlhtj5+yl5MfO8cveXs560eGWesumfxFcFR3F E11byDudo1M0kfLZprFrSDsB/tm1czPDKuEBDd0+2wwA0h4B7k330gdlmAfso6QH o22hE66VzNBiMkf9LT2hIWdXIa2pb9bZTcPm5SEb79xf0pZ6z4l1OiXJWJ0Xt4D+ Ly+e/y/wf6IAGgeiSBQiHkXy5uH5D4+SxV0KZW5kc3RyZWFtCmVuZG9iago2NyAw IG9iago8PAovVHlwZS9Gb250RGVzY3JpcHRvcgovQ2FwSGVpZ2h0IDg1MAovQXNj ZW50IDg1MAovRGVzY2VudCAtMjAwCi9Gb250QkJveFstMzAxIC0yNTAgMTE2NCA5 NDZdCi9Gb250TmFtZS9EV0JJR1ErQ01CWDEwCi9JdGFsaWNBbmdsZSAwCi9TdGVt ViAxMTQKL0ZvbnRGaWxlIDY2IDAgUgovRmxhZ3MgNAo+PgplbmRvYmoKNjYgMCBv YmoKPDwKL0ZpbHRlclsvRmxhdGVEZWNvZGVdCi9MZW5ndGgxIDcyMQovTGVuZ3Ro MiA5MTU5Ci9MZW5ndGgzIDUzMwovTGVuZ3RoIDk3MTIKPj4Kc3RyZWFtCnja7ZJV VFzRtqZxdycEKJxAcHd3h+BaQAEFhRcW3AmuQUNwt+AWXIK7e3B3D9A559x7e/S5 /dKj33r03vthzTn//c9vzbXoqNS1WCQsHc1Bso4OUBYOVg5BgJSKpB4HO4CDlZ1d Eo2OTsoFBISCHR2kgVCQIIBDQIATIAsy/7v4+wnycAuy86Kh0QGkHJ28XMDWNlAA o9SHf6j4ABL2IBewBdABoAKE2oDs/5pYACEALUcLMAjqxQoASEAgAM1//OIK0AS5 glzcQZasaGgcHABLsAUUYA6yBjugsf0DS8HByhHA96+0pZvTf5bcQS6uf7kAjP8k /QD4y2np6ADxAliCrNDYVB3/9gP9pfk/BvvfcP27uawbBKIKtP+H/T+H9d/qQHsw xOs/FI72Tm5QkAtAxdES5OLw71Jd0L/gJB0h/62NAhQIAVtIOFhDQAD2f6XArrJg T5ClOhhqYQOwAkJcQf/Mgxws/x3h7+D+CcAmrSupIKfB/B/H+q+qOhDsAP3k5fRf vv+Q/zPm+J/x3/G4gD0Bhux/58vxV/j3/c+V8b91k3GwcLQEO1gDtKBAB0ugi+V/ Jf47laSko6c3C9dfIxZOnr/3jIOXGyDAzev7vyq1HcDObiAFaQAPOzs7Hy//P7MW bi4uIAfoP2/C3y3/Z2wF/jsgEMgTZIEWoKWhwnjCuEzETmRaTs8YNPOnOCIwSFib 7xUishy725y65VPDcDsottJgh+ZD94cHr8H04Lri+W3UX5GfJSh9NG7GV/hIYfnn cGLI5wsddHHVe1zumuuldO4/39BVzQC4LRPNOj1iKXHCBmwdWA96vpS60PAsTlWN P7WMEU1qtITqC+IULfGz18XVFhppktTBw92NY9L2KyNLhCuZbxEhqp7Kdvf8afBL MugYVG62sK5Ish91RDRO9hxHs4JJpE6qKM+78zh/u6h5V+0wVsGXraT0wmvJdJuk U78qbF1NDAXQuBLpsrTrIqkuD9WsfMEv/D1rkrqVkSBlNBG58YunIVR+X+kDgez8 l8Grhz5Ok2CdQ2gVe+/vVKhH61G+CAFlU8BtksaB0p+IX96CiuR0WzYtU9zaarZ6 +J6D0/MnJRWoCEa9hZunYZdy+GKo4h+25YWOf71/2UuXnLA0ycNEY7bUEB/teRxR FPn6XQnNa4zrQ734xsQt46dkcUeRyZgA5bANUgpdGjZHyuANS/Yrgk2xQglmCvxF YbN+JnDUUH6gPmmRhHm1d3CpbFxVCvLAiPZRwEY02P659wPESgBuwe9LbqA6PQMj bmBFGO2d4eG6aR0bImRwzafd1aqUmLjhCxP3uZ00ifNAukh+ybs/mffY1yFMVHlZ WArL70fyfedbAAxwKxroUbioFTc9fgfz7j9/EpVvfblWzARqsTZ5yLinjW/qkPAf lbMICPSjCj7XErb2cU0lRLtmmuuAkdqowq/5QqmeNfcxSCIc3uWaauU+5II1o6/W 5pQBvPhvEXukV5As9Z7e5uZfNiWRTz9WQ1z2G68fE3OBLoLCqAhhBj6SnIFmFGcJ 15rUfcWU3HwCl3DHUgQGcjtPvT+tHJRxFeP11YGxI2SrHx6xHTqmFjlN9xpYCUrC sTKVaiJ2QwfJEhSE8UIMcEj5tuUE+w+raO979S7s9THdSbZy54JVws0pt2+lmEEm x7PDwOIazHW0YnEvyEGk1NRAClvMxyIR9sbV1pWa5Q18QjRpBgJr4w6Nt+A4Vrnj gzHpy6OBKkPIMTpyNfztzBfHR57ctDILEy4/Xj8KvBjC7XevYn9KaE0k8reccLmx FObYcrep63nq769uMjYpbTm+28wshPUoHeBQvE81iDs2XthJZIXZzomuqDJINqGI iwRcvqZwE3IhlxkMSsrpQ0VRquNb2oehcnya1EUOrGtkL5JCZP3oObvSNucyv+J5 8zBgdwqv/L9vb34sZ+caWHSDttaCBr4hVpPLN1bmjiGYM5s3s1hCXs8Kcd5eZevS aXRaioOIVk/z3SjErJyWqsKJOaC4iEMZ8PXs5zCbdWpqq1XqCwOOPEGEp6CprXWT xNAzlFvjdb+L4Rxl/64TdgYP+ruaHzw9z11Jtzcdq+9ePwAJsAxFiVHqcPDKxV8I eH/Df3Wk8xP+mNXv2eox36UHJH/uILh100rkpoQS6YLQesepjbCXofuN+pGSjz6P ZBxnkbcvmNedE8gS/etGdgp0Xz5GSGmIor8wes7ZT4RlKWkg231KSnn8c99pR5JP D4TL+j449NGmZwc5rokr5vNChErD2hiOfXgKCnGPTwiicDi8Y51iF/itzU9ZSiu6 /mCiKTZweY9fAJ9P4j7vVMDbDgbN88YexfyCkL0yRT5VnUQvDLGEsWeIK8ufxYCr B4URIpCieIVDMFfhg2GjcpTee3/VVKNx1rgoNBq8/PZC47OsEXH0qqua5pR6w/UW ExDIhBXWOUFXLlyhgKmDxVv5jTauVDOMVJ90p+h3oVSoQBvmZY9C80w9eTo7wynn FbP8Bc6shftb5WFhyMB0FkXbJW3rpDzZpYm6SlA7sea4koFV6hLN8pD9O543Vm8R mvLGlXUKPvsguWR9n6gcmMuqYcumUvS+J/omKIuCcBuSlI4bVt6s5sDSwdRmFqcc AkKoaLAI1d0OirwW6i6hsSdtvuatsHiWub2ZJAuBzhn6/LfrfSf/fDWryHuNo7cO +uVSuyfF3rPQvkO7zB9FIqHdgres7EXD7T62BPpx0KBkxbFAkMEmY6nH0RbYYNz0 EkElytH21ydy1H5Y3ISygtoxsnswMqnFFwOf/FBOmBoIXp4dnsB5daLrBN0Sy1Tw D4so0hb/QMjeepLIo83K/DWhfPAWI2Def9tRO7maUFA8PjsUj303f4qD8487q4TY SCbQ1xuAaewjooviSaAUfNFtJHEFKYXb0uCNOCtHfbK566zl17lVTjUYw3HKoZ3P 9NzI6+U+hccO1kGsNm+byzlxD1zdytq+pX6h+x2+Z6m3iCnYPpBHBytmrFSrmHlV 8J6IHDLNqS/3uxpB6H2P2cVbQmx+pjSRAZ/7KKkDRfoxbOpzLadSkJDWa4uU4JUz ixJh88VTvVDgiKqSoA63O459H3V6QXLSxPdxly6gMh3e2my8GuirY8dB4lYKDR+u aG7vA8KRkIJe2rTKb6/mYLh7oT4yWT6zM93fGUR2EwJeRhJ3x5FpaGdRewKLQiby RT+KUN3xDxH0O+NqN9tFV47Ls5XAJjYUn+h26ur7N3M/cPH0tHyvP7eeyQ+q1LdH kBNAHpLqR++A2mvRsMMCe3pargiWXtWx5X5aj76izfLevS4Plp+5jJM+i/IWYTrp lV74cy6NFfM0wWopQjo7Edl/FcPMWawsYokG/9DLc2zV3p/TTaY1Z0LBmzeQ2+QW IHsLcH+KEPoQqFl72o45E5g3t5oVQSODGtrNxlykOSt26Ca+UfFxHt/YYoXE7qBd 2Ez6hgLtk5+XGLOZ58sdHUXjZK0iXFRYjXv91dV9PNuV4Bp9ubY4x2k0VbSejHwM upiGEOgOby5xkjPfAsUAg6nVErIiRDCNE0B2Fxhk42WbS4oOA2i9tJ7w+/iN91fo LQKH6/ZYwQv5YA10Z6s7i9lKXTcEBvaTkZoYPd6PCqwJ3l5bQWOlQacTcSxlws4s Ra7dIB+bGVdMqio4FwQeZyPAQ97gWAlZac7NaAFkvNniyvhscW+6lT/yeYbkYAia EaYHSgCjvHGWf1ce714wB1UUepC1j2jBzNMkB9SEcCbThvGGVdSTk6ujxfrU14ow 9560A1wsOnmjdMZrGCMMqhx2AgeZSyIux7Qp/QPB8WYpnvZnVBsdsVDSM6sEwLyb gdDr7LtzluWDNP+eybCAqoDMrxxOxsA+bxy+sQzP0YoC6M8Cd32zCi5FDoIYJEoW xEObmax5fEnDYf98pVY2grd9TJXeGdotOZK5G2CJtSIcXEsVZvjBpJttYHwjhuPl +fYMU45zuLZH+zDH6floF4RU5NdILFbHmbQqm+0KYOwQpbYi8w/tcH2PyrznvU/E U2UFCEk+Zqrv4JlKWMlPGkNkJO06csBliGTrnEGA1YN0ozV5ICd8XIKKCJbIVn74 WKJCoSFouTwXn76YO+7pXf4eYNtf97BHgR5vVNV8Um+0wZ//J1HjMqN/qa8d4kj9 Q+chFpPMeyu8Mmr21qOFjkPQkLXhSQumx4rWofLg7zaXkQIFEPZxkTmb4lvdjR4n Wv119PzzCZtcG6mAGOz5PsbDh64O+UQQbOfOLl8onwx/TOlQ7gXM95u8kUZ2vGlx DjXTAEPlFHox9XdzXSg6o2lVxFu0elARinAxUZGmAYDrMFLI/Cxrdxmsgvyp5E7d N8bI4OnNd5Q2euQp63F80qkL+Ws6jMM434nx14sQdhIDuDZKxVdtIquqgzJzA1Hr rUyptPeNhCcPwqPN+rxb3l0pwUyYrsOn3fPrW0/HwkoqedQ665/DKPuAieYOTYVG LJ33vJRIf7Kk6BRnF/WNinnIRzblOl4nnma5ylgdX4kpLy+swKl82CKP7SjK376n 5ZaVZoOs10gWJhTr4Tp1KFXxr3v8+G7upk3IEUreUsimgXpsiS+gpww/B+Azlwxi 99SGtD9/2qs4VtYghkJUlxfzImM9n6hugiyq78tuIk0D4r3bwes/SgthsHUc6V/6 CpjWSism59S8GhhXHo9OjWLRf1m2XEWmEJAibdwUC8zl0anBVgOb+iunN+T+UKAN /0jBtWrfBDV9/3o82DxSJvPI191rvhDaFj5zZ/2cOZkp8GXrArMUXU7DzoS1fTeg 1odsGh/nnDroVCReijRW5+NYVs2UEazhzTdsaocerF9zOyIkgd7vK0nY3HQ/AdAI wK9uX5166GVNRxjTEyX3tlX/pH0KVFoT0ci8m1fn9UjvPfaF7hdvG4bqgGqHVLhG d8KKISxEzgf2sw2/r7etM+PuFY3OYnDbAtzC+/VBz+PuJ8Ax4DUuZNNXK1KWj5VB FWPYuvDChbQA0KmaUglBhVTk08kX6czG/wDwrjWYsJG2WVull2p/Lo+QsNe/ucw7 9TDusbFGTOJt6Q5zrIwNRtUo2ypvkc9ZESnNOx5PJzC0DdhSlVdE3Lex/04ApiKr hlkTviuWO/45nbMqGDX2wluN4FCOqrn2+DO42y6T4uxoZPkPxc407497l752my4G uG8ziZr7r/hoDx2qlcK2gXdwu7c/lfYZTPraNA3Qz7vPSjP9INnxFPJzWOl9ha2/ TGgsCfKXMsrfhtXHMg+Qi2+D3wTkiCNqAvbtyRxPqoel9YV0Etmc1/PzQfUfvS5r e8NaCMpRz6tLDxhF1NM8Gz7Yfn9CR7XdDpyBVXGRb9f8UgYSoMyM+MpZsVuhO4IY uzOVW9g89tAQmnh89hjkpmRhY/GNSNaQZTkhyb3+E5kgnKogSZPevm/B63r4mYIl hvKY/gZ/ltzje4xN5AXq3y7OQnnffdTRq+kf+E37GFvERu8G7lE5jUsDFWRC+9Mr K1VutmZwWwi/7XG+0ccutQE8WVKcmjxFJHYKEgM0xz5Ydgq/761P1TS15sy+pqKG Cup6U3fgrRpOqHoNF2SeNMk4swMWuPGr8e8IDUYMRkq2qIG/qao7VmiPnHuuYPc/ 0zNmRDh1QeVq0t9h2iLhGWZenjzRS5spDOVdKkkY7Zk8+7x5B+8n5vWtDAsRl8Xb 1ehhfbDHKNodv1WgzsNJwyHH3DNqXo/vcZBZhXS2REipZEfAWwpAIaNb5V6r128+ n2lQPyaDpT085Tsrk5E5ujuaVIsOle8Oot81utw9shEMPQjOVw23WOc+6JdkzKH4 rzlASbhyWxjXqOIinCLoeLd4lTrEEzG6mRAZTkVTrx5RY5HhSPfqDYIIDOa2X5DL WtJiL6NJae09mUa7te4CSvLkk6YLlvs/ZjjsfwM05YaGiyo0xkzq5S8SRWp6q0de n6qEzcSGXPY5TOLa0WIh3bN6xZCnJJyZOETr8uTI7WZJGgo4Fbp9c5j/iUFWBbwa 3+S4H3wmOR7NZVuzElBtJ1q8rAjPTYgjD1tgWmApNglfX+6onACaLcaTiMDsEIgv txzCYP+6rqE5/KGavX0StpcTOiTAjqQGno1L0A5OtWGmsNLsTOKBOyrr7gd+fcPs JsXygM+swwpWMfd3v0VRVm+Qv91qjTzxFzYUUPi0jua5vvYc8KR30hC/eOY2OWF1 UDLyofzg1il5pZkKpXZX/8fgVi07pSVdigSxMtL9a0iZTJxmkXmG1G0gZYr+b0DH RFT9utd9ZksxtZrSfNBLEK3E/euB+6fsvNe1Wu9d2LNDVIx+qnSnb63X9ZRb6hwl Jc+WxVkjVATTGIyvFrOzSTRz80OEAXevMsaNrfPsPappoFeHgon5L+O3FBrjMoHU CNMYd/1i9cHvDeg54FpzD0snGlCicM4TgETZivBsNV7JLkJhczwUniT2Xxt78fTC 7Dfha6evNT0vJcekODEKQxd+D5CkqxHNpj9ZXnLihbn1FrlPGjP/sCN6JgvQX0to f4fer0dHzaBwrzk65FXWNL2gwUZGVmi8xE/mi+8l2z38cFgMdPG6bsTHO5IhDZVK ID6F7LJ4TT69xEE3OppKq/A+JxU8qw0niE94mKZplrGiIegk0W9LrOPVkKnni2TQ 34/0dM5UALArB9ryZ2m0GJB/zF0h4CrIkGFIy1E+GMOOHDKdM1HaKuGh1z0Ki8QW VTerUlkpL1DaayiUlcOQpJL+IsiAjUKYqKU8lBhnU9s6WhBqB1l5aRJFlq9LmXX2 oyYKOCna1cQTNYVUoAzuO31IOwYP+jds57fg6ApHQxFffiqEsc4OWb/erkn+Jvwm Oyuhm+mkwDP3khicEEVolBB205RMXV062VwVGCSgWMzEUqHnQ5o1j33p4GOizWd0 lPkzKv3c/XfiZkoAeoEL5RRin+6rGpAgeJJi4V07bdsKKUIk/Vd5512t03c7XQXb sQ2WHfJ2/I5C9qVYLN72YG6BMRz370tK5LoIGyVeF8mk2NVvkOCt4sbyRFySlOT3 i2EdvNvPDS9bC64TJesOkfwanmoifahK7SIoTiSU7VztzhWtDAXXhEbFNEFw78qQ Y2xH7RGNhVCOtaMz1t1U2COnt41aNIljVlLnSCgQrp5det4GDKQX/ZaAP/11kDHl 2IKTcYhNixmEIvK+ttHwEYo1npAk0KSOLwJiv4tKfUZV5meEKUgxAHy41u2jsDlr 6Q7unAnLFsbPs0A2SvzFtWXZ3/71iyrsI7yJlOhD5ppA1sCz+72COEHX8STTnwly llOSrLj8gjyEGn1S1SJVYddpmwCzoOyXktRVDYokhkKzTMvdCZ3388sxcyjWaxwz rkzECd9lLSsD6Tp3h6ezt9yAPQ0cU8srax6zEp6enffVVWelzWwUQyY5ZmmtsbJh RcHt2DUEqNPghebwFp8wD1CjdMvzUDXXtwssIPePCKFB7Y3ZlnOUm3uizSjxw4Fd XCjx7uwvC4xwpzvAid+Z7JWRmUNTlVBE8lQiSAUq5mv9tXjcBd2/L2b51ieHWVWJ J0KtEinEd8r68TV45oDQoiuEzXRwQMc78e4ITs6kdHZ4g2AldOykWAlfZVBLHFK4 6H61uXdHhvPQbCVU59Y7rB98QUxIl5I2ZEdUEXlkSxCQtpdpjKPwSvbGxH+UM9CY N0fxY/JLnfj74fVUIcVkj4/eCYa3R4p8T0jpSjb1ZwOlCLz4WzlmGIsCZesOP8Xl pJcIJciCtLu/3U3Gimv/6umdz2ZWdilp52P49YMH3tAYDe9+f9neB35iHmLPq98+ GiCKvmoBsLfRnMLpDiNmiOx+Hgxj0qZli2njDyyR60xloLbKYJiUSVzbXLlewVbF YS/1CnH8FM99iy5sg0obaVuZMkuEg3Loyk5oh6OAO+MSXVxon/HOF68+a+i2S5D9 koCwJCPrTRZ1nHfaAOOI8e7okgbmXGWb223MKSU5uqlw53e+8J/z5CeBczDzQIZf Kmtmii5nqO5av5Sb6u2Ekn2C7gV5Kx4WD4ZQ3/BvaI23mnd4ElBOa7/vWLDQgkYy 0fkjycjlSJcjSg++tL7HNOmsS0V2f4fMjzzc9hh8WPHf+d8ejapNUpn3k/wnpb2+ KqXCVoBpkvkpZTTT23pzpR2w9iGpMZ9/APx2lEvNvNhDtdpgJqm7Rg39UMn9cY6M fuszUBO+BEmZNFc1Cax2WEnU+hW8rL+/VieqXKeuAZoZJn8xUJ9lpbyA8cp2dyj+ dsMP72uOjqNDaO07YHz6Vfo3BqWjX/QEQnO6voSY1JDsTlvNBIk0vI0HuuiZ+S1u RUIFjY/ZJfDBkb45ekRDHmWpegOjIJJXBfN7mJqdQJVmr7W5jV61Q6Gioari5UdY 6KJ8bD/lQa+1klKT54sNW6apeRO9I5v6aP2s1oXLfSAi9rS4n5vuEwNlCO8GrYKc ElcYRMRxHzXBLHTFwie3cLo1RxPX8UKLiUKCwA2fCuEwQ9Qs1tefP3s/w3ZlPr93 zIZ3ZMJFQ/oLDUm4rbjQybD1gy5S2hJ5/azsluGPwmAph+Wo1pgxPCVmhe2uvcoz 36PPiPzgqAd8u4FtM8YYltG7bgbX8MJdKfxjCfQR8vCgJBqdIaSGFo9N3vvTcIWM bm+OusauYF8cYPEE/uqz0Xuv2Uy2scUwOPbbywmkKAyLqst+oEOqfJ2u6LtHH8bm YKKuE2FD864r4NCgZfXNKxcqZs2ot8adsVyJzK4/wYRO14pw0MUjaxGjDC/JUc1t wIX1tFp6KuvzPX6voGBqGUqsiKD153uxl55UgxykT9UUMrcuS97trXzS9UuBXw/Y jI/8WXJRtSxaUFZkl+CpH14PPnrK4buJwvcqN2Kxob/rA0m30qMKcrFC2phAqTcb 56q1nmOl0E+n7b1zVe5INck9msHjHBviFmroej2AN3Of0i0eZJEYeQK8At/hKPF8 tmQv2bIlD1pqPwBBsemPNV78S9Krp52TGFdt4d/k+JSoKuQ9kSjUDzoGC/rsCXWK yLFgChajRtLv/oIVueX0trHqNKbguQpk4jPNXGLW/ai5CY2YyYhP77MPtxhftUCA KSUrM2tqmT72wPFA0bNX5Xbgy7xsTG7UUi6GLJ+rrpd71I7FZCB0wRfIeXz39RGN zz/uMq921/i8noMwnrwXwOeXSkMmVIeINFkWoKtkNv5yFDWB6ozP52mAKUharRRS YR/YUlH09BmbT+VWOou+CBpi0U/WU5d5jSfUGfdakYQFA1dFEsCnPR78Ha1PjlbH ybKI9VmnMFsPDn1TiCC7rZV8sjvKI0E86IG4XsRWunzBgR1fVtp5QFFw/DmmMFVD xB3ijjNWM/spWA51VNDpaN5mzsTtBess3byU2nyHAS1ufWuXw1nip3bwbpvoGyl4 GqfNlFQVRlx+ls+156JbAYAbI3jIWgciXgPGj+nuI4qSbUi5osnj17Ponc6HE3jS OgRxBD/lhZB/T3StVg9//KgPY3vJTltfXbwue6O7aUzw4RSD/XDgM85V9DlPBEm1 881DrFlTMFyEqm2e/Ox5xeHn8Gw8K8XyCEYOfxYCpwpaDUjyUuAEChILy6pz8Pmo Fu7Fu06ftOSyg6zsTrVd5UCMB0IhzYW9GUwcm/sa3a6sevmh9/ntAZsWWnmHBKgM gTr2WQnKypPY6Qg2mvkjBH7ei/Nu3y99fUq4FuqqZ3EVUHx/hSySI/WlzhAkcu6k bGReTYq9v9cyaTsMnwGkGVZB6rSFTZ3lA15QO8LkqxdFXYHlr/BIjHcdKdtJGKG/ 0H4HFenyJ3ZdWjbzHsXYYK6k4Qryq0uHiODWvGEAvIduq++t6K547MgRKNfXLSqG KPvB4tiIqUxVm2HGkLdqD0DK+E/LiguwFaoyyMMrIkrGQ9Dglnahax++iZFEh/s8 AI2ZWSCzN2k96WmR5dLcfZoQwJM6reIVz/DTM1acGo9Yf9vPFL3lfN5KRSiTfkwG 2wlCRjPZ9QeZpYPz9mnJ92XOM0OglF6PJc7vCQqcbfv5iVNLpEdmqdCtzElws9Is 9GBK32Fn7iXD7KGLOyU/tjbub4so01i5jEq+JaRKfgXOCxJp5lXCAaZGRL4qmfu+ kq4FG7X4E38zZ/SbAK58mGavOw+xVlkRJK13L11KF/ODsB2FXykZzJhhT7/tLE85 E6cuhB3UsJkFfWCQlWMk9khi+jwUHislYmy3nxySdcZEgSjVj58NYYnb5p55nxW9 yAIF6ssED0x5ptI47X/QYq1x6zNv3vAaUz2gSnzy05tKRmeC3xAruPlcU6eir7du 3vrMuQNVvHksqV4msViutUb2vlW1VxTwrUa6C9+fmNlIfdKPT9tooMi6kD8wNgzT dazIDRZWTSenbo11g/DLD/Ox9JySHh1nSSr4kX/R2pSKk6zqf9UYJpJyTuNJdBdX DLHQrmU57o7SGUpX7TSH9O4FuGDEPCjSXDAk0UtlDuKSgPl8XwVFn8mS0YSH+xud VyjiciaraCn43Zg3hl/9hUYHF5R/hh6E8lHwy7/RKgjChwOGEXrtiG7Xe2V/jlK9 0oh1vAmYlosbkI3P1UQxpeEv4HQoAKV/swybwrFVCxpnZpupc5jNUx6PeoovXaaI A3rd4YWgp99XkSJrSTs6c24MgR848Nb17fpw3SeF+9VeL+6zlw1ja2dKoAkGM2kT Q608YHMb51K8UMneavFY7rrDesEaYStnLhicn3ZM+J7jSWJMLtqLZlqy8YqhhbA9 3rHvWWWbuDywGo3f9k1XOnV9rw4aK7o/13P7xzSBX/5IPsE+53yRlFuwgr1vpUQZ NtXc1ebik/hyo07fT2qGy9FyS8FFVpfZg/K0W1IRs3bb4FxXhRNEzs/uGx/21nqA tZe+YEjKlTCF2cznhhi4Wy3e3dEBt1oy75RuK0R9M4h59mdWPpPdPelmeDbxgCRz jMa81D5maWivrjw6mQPc9C4Vd5jS4GRrbuZnuteVG5/jO8IGRBFHfkTmyXY3VvTU EL7YWYpcF1WBM2e3T2ozVGD5MBFfGhQmcvkq2oox4yN9FXrN1RxsH+oitNKqSf6N F4N7g3v7Vk0QDczcryS9rsBtV22/7kMU+dBzk0LloYephdKj3sgFtq8e+BspLOP+ toMJd4tvBSRC+FklecezJ7d3sVt6eIqoTAknkN7VI2szj0gUFe+9HuduZi9W3jcD 9zvgS8K34B9ifdsTfL9YZ7vch8V8q0vCgj5u+Hg7BXyJvX1olRbNG9X71J7p/8no i3H3hsrwEX0l8uC5EOJriGHOcj8Ts/DMGIh2PjlE0SKC7yP4Uxf4u8PHFGPFZqMW 5rZMrcjl3fSKpoDrKQIdWJCTbn603u4D1ZdAjM+/y7L5pgzwwNXaGkXNFOIshapJ SNgTdUeN+Py4xrmFm9SDsXbJr4/jNOGqCrxa2zQDHHQ8H42qc6Z4Y19MwxFo23GU 554/riaOii88Yb3TZ3/YThIG85SGyZxtJjrO2BICBlt18WXSWJsjkxVXTo/Y0shz pDQqCliyJpM9bna54G1d64LYa5iDh9kM6XXEF8VzQ//o1deInWs349d2VwKS4hwb vw7qTiVxZxt93vNctH8ctPRKzHyaMFjKp0c+kViLnU+XN8Dd1eUz/lXsT6gRfuzN fii6LN8g8sTcZvR+pdrbukntK/MQqUkqhYfvs38OlM+l9FP4tQSHOz6BZOxS1VpA 61ReIukGESEIy16x/cXM/3neHIrIv9uqfS6swWwYrotUXriTo0b7sSOLo4NlOeLS AmWpST6xPJsX1TG+9M8Rnep8GRrPffwCIl5clEpYFx7iNzOR3hwV7CBS01Yejq1K MjWb3bRc3819FUPlGi1UKfcWVVfD1Q9gN6+8m9PHPQ6c0pMMOv2+fM2KY17GOxv2 p/WqHJQ/kIUEUcy0o0CWQ9u8nlN8kZBJ5DbEzergU3qW1pMvDdX4xp9T2B2uloQl 6TeCjS4Gq68ZOufakIMl6r0sws7OvCyyW6MtZo9IcTj8sF1LHZ5skEUFoyZUlHfg nxkEbyNOFeX4GueUe5Yo4zuQyFPKKA9S+4iwvDv6Nx7uQ3basa3eKrG3btqWyalb gnQ7tgRLBL4+0sidN+GE0fFl/ArAKC8dnTToHpEO08BBxEbhCTtF+0MXWuGBHf1W KwgzezdRTMqKd/O1NSuV7+D+o0LZWBGMcENc+eSHhZGUWSkfAUE2iQLTqwrUZPWj BeS4HbMD47kCKv9KrPhtwWhnjV+jIbmOxEuZtO/3msDOaBZLk/mLXXWruxz8DU7B SAh6ri7Sbuqp4JZ2TyuSzlIrIgsTwSZ2jtvO6OhvmR/XFKR7wjOwD/s1Qc7ppiJs OOuLlQzyJDVHCSqP0fGe/t+VvfAl6yjfiHqCVvPFvbonGPm288YKyKRNXk+dMuYg D+LqpTpYj6/sMy7KZtdB3QJRRyd204FHDMqxxF7UgVfr8nyz90ET7F8HfKzbHdTY Gi+rqo86/FyYJ8nZeibQxagv8wwNcMxRlzsYxBK/4WpNGtlryGLEZdjmfMk+9cNc D6XR8qxAt+DDXBDBkxCrVpAx+QFV9zGd0AMTdPg2hFvwqD2/6SW+cU25MvRELTo3 o4PLdb7tRx7eCfUfIrV4wfb5xuYZE2WEksb488YLmrTZQVA/Q622trBfU50KJDY0 JR3fEr+cx8/qqviA3Trek22MzM+4RhP3fCVkVEEyJ/hpE/M4+oV7rk2fB8eYSYqV kACOjA6F/pqB8py2nepDBJQyEO3IlkWf/ZdK7cln/UHJoIoH3+0OOEb84bxhI04X VUg9olFTrWdmHEH9gqKfnChaTDa7cO2tIbLwlM4d6Xu7ptevtOYXPcg2g9p8tXe7 9wK6ATAUvg9x0DSBjM9OntifiFJ2ChwK5s8UNGXY/y8ftP9v8P+EgQUEBHSBOtoD XezQ0P4Hge851AplbmRzdHJlYW0KZW5kb2JqCjcwIDAgb2JqCjw8Ci9UeXBlL0Zv bnREZXNjcmlwdG9yCi9DYXBIZWlnaHQgODUwCi9Bc2NlbnQgODUwCi9EZXNjZW50 IC0yMDAKL0ZvbnRCQm94Wy01NSAtNDIwIDIzNDMgOTIwXQovRm9udE5hbWUvVlNS TEdLK01TQk0xMAovSXRhbGljQW5nbGUgMAovU3RlbVYgNDAKL0ZvbnRGaWxlIDY5 IDAgUgovRmxhZ3MgNAo+PgplbmRvYmoKNjkgMCBvYmoKPDwKL0ZpbHRlclsvRmxh dGVEZWNvZGVdCi9MZW5ndGgxIDg0MQovTGVuZ3RoMiAyMDE2Ci9MZW5ndGgzIDUz MwovTGVuZ3RoIDI2MzQKPj4Kc3RyZWFtCnja7VZ7OJTrFlduGQeVyybUx4Nt3GaG YYx0YbDJNaTkOma+YXYz34y5uI7tlpQQtuvuJpRSiQiVSEJTbpFcG0Su3Q12YTqT zj7nOe3zPOc5z/nvPOd7//nWWr/1W7+13vXHq63h5mFoRaQFgXY0iGWIMkJZAM4e 1s4oJGBshIJpa+MYIJ5FpkE2eBZoAaCwWBPAA6QDKAyAQlmgkBYmGBhMG3DGs0IA j0hqEI0CkIRETCAcZIAAEWSSgyGQCARFAqwQELCiggwyAQ+t40GqkJiApwAeNAIZ ZEUaCXlwNHokgxwcwgJ0cfCv1TD/JgcArCgUwP1rChNwB5kgIwwkGsFgKBRAJBNY QBAYTIZgiK/NOUAkGoD55iay6X+EwkAGU9gfoCvsFw4IuyXSIEqkUDoJhnChCauB Qi3/sax/oep7cjs2heKCpwrpvw38T3E8lUyJ/IawZVNAxveAg+A3Sc4gkcymfh91 YOEpZIIVFEwBAeQ3F5lpR44AiW5kFiEEIOEpTHDdD0LE70sLx7VeGOHl4e70k6P+ 31biW9QNT4ZYnpH0v/N+ha/bqH/YwrEwyBGAD9IIiUQJgcLzx5/fd9VsIQKNSIaC AWNTMwDPYOAjYUghlbGpKRCNAsgQEYwAwAihZIQRRGMJUwA6mxUj3DMG7Os9mmEA BO6ra93CIgHE4XXrzy1ZW9Miog2FtIZoY+F+m6BNAKwxMuafgQcgcigbdLABTJEm KKy58bqXwGYwQIi1vjvCcf1hk8jC4YJgBEiAxaEjE65irQeRY+RSGRl7lHpoxmdD eYtDKPNlUs6B9KhZdBrmcSuoLNGd9GPT3X0Sevam1zARTs2/DRxVEJs0r+4zxG6Y jFKfXM5ykasa4ls7ZLLvVGpCo2Q9By/m+eO6M+JZfLeWvgd6j052NeTZL6kra1ko 8UvsYje5pOtPQvzYFjWL+IKJjkuITw9XmDnUqydJiT2KhPC41Co3Hcndce57vItl VAK6Tp/vdP28SvVyUOV1PF7jHgcoh22jVH6UxnRfDYdE50rnvdLnam5Nn30tWjHS mGWhd3mSzxsyqMAlpZ3EyQrev8ncF/eFG59yR65Kptws+1WV+kLSoay+0ydiE75E rs7YOEXqfHk4J5JOqN9/wowrlbJqqKYgCjNQrOfq+qoenBGn9ywhN0tN7TrLu2Mz oa3GfpyrVNTC+41H2qY4jKmWDm66F7rMxGUaBPFjehzHxnYNmMwF9sxvFJOce28t 6JX7C2JDDiXxGTVf3+1F3hlA501AaN7ZwdQz299qi+8Vufi2rzM7/+YT79K3B8Y8 Uqpjjk2d1mvLgj9qbeRaaM1oFn3g5rpOIdG2kUUBJCJefnmXvOLDn97TW9i8MB1K MLNiC2ayEDvq74RQOZdukvvufPeGtw1SsmLmTntPvD4vXxg1wLT8eZnNN/7g+c7t tU34WHLgfUsRyHl7ZVvHtboc35KK5wYxY3ZfDj1D3c1P7Ek6dsBgf9w5yzfOqxr5 t6MGXxkVW2benjC9LHM6vBcnK5b8q1yBljdpX/3FF5nhitJytzauVDg9vuIq0Ml7 I5lBy1nLn67SbmzcPHcEuxbW9ArupvkEO9vxk2q09J6zjKECXgXez7Rdk2/Y6LtC HwmKXHOXKVjQ3HD1o3+QmkAdk6t+BtYLLQzqOHmGmSvqNSDj9VXzOxtIXbcH012K XJxknMPf6OrgtdJe1NxyI+tmTh2I3hFkXl9IfFG5M6SX086ai9+8PFbv5JphmY5r Y8xrbAzrqKoc1VWUgMnAua61xFuNezFRi5r2/RLjP/Acoj11wnY4K6AmUhc+TRzr DcghQG1p1Z8rOy2XJWwOaePHvf2nFhAvOT+z8w++XUbAO4iCDb4bYQIOI6xl1eXR ezGG1pZFc8qOxnuWEUVT8X5Pj8Grf5F6vTS9QP/ZcZPcteLS+qUAjp75lljgY7Ui vOx2yB68buPucozC4sVXb9/JSzz/fIgm29jOPxMDcocmTEmCwVMyxO7mif07bQXQ hco4h7nd+Usr7wRmGRjf0sUBm4XUcanrJdjz3adGPSXuo0i2ZQQrY2yJv/fTUb/0 fV6jEyLO0dxlp0xSer316X1WZkPHzVdPxProeLLI244Vfa7dDvelu0KpHOrxiVQ9 EXceJ3rYsnRJcKWvVEHGpbswI/zX9DRZeMBwL035Adq0ibm4mP2gSq11UWW84Tp4 Z1N+RcJS5VF76/Ayn/ZEt2qYWM6oiP/FseFcMzDx6Voxw/rDJYJvq7kj1mpEckm7 M23FL1tR1VhK7Zkhq1gVfDZMuhOv5KAckhJVHsRS4MxFBw6VFffPO9gH8yU69NF5 Ic0lg5zm0OvkTUDz9mfgfK/6BV1MQoHoSnZsu2WOQS764g3rHTlKFxqcqbunf/F/ yq7j+7Qkm9YikF1Mi0pMmYrZ1ArGuPWXNnLhmsbuXWNiRYc2qcDJlyoK9R6fU54V 9067V7b25TAr9gd44iEAc8/wBs7/hpV8ak6Xrw2ANk+zpDW7wLxmDnbSzZSn271z d8DDIQ5Gd48FYcDISLIkYQflUS1T7/G2vUVa3iX9HqJZbhcGdKlapQbEgiEzCe9j I4yGEaWy5/P8J40pMadCm1M9ORrtdy7cfTTouV3+k/5JpIPowOpZjZ67h3F2w03I l88WM66jV1J3KpfaQLwlf/XffDLGRaCD5GSTGm+VtSbl3Se+jNW1rm2QeLNP5GVM QIb4dti1/e/TyoP6jvifqzzTRg/5WA7FxRLVQq5dmjxQs/XJA59k9C4d43LtNhec /UO91VPO+i8V+i4N37iOohAMGE5LflPX1Q1qhxwC7pRvTa5Y6ukP02FcDuU6msU3 vNfp9q6ZDndKGsg6eFuZ5ZK7wDkbw7O32VKXtkwYd8SV84LLRw5TToN+Pa4JeZl9 SiqYB1NgtIxUffnGViM92FgDin4qK2+D2lavo902NRvbtmgOF84rFbgyndUfHva7 P+z/g9Or37s+UGfdDibsZUvWVeOn1G86BkkGRAUtm42hubND6ikZOZePzJxxf53e nnAm/2gCvxWIt8Nu4bcg519tuyt8nRkIzOzGBejFTaNHjbhqm8NFXK4E2vlo2PUN G2mVXFS2Pb2pL/QmvJYtszPAudg0pb/ulka2J/fRxzbvrOFALpI22x2Emr/HQY5I zR1v7rii7I+dfT4Y2LPyOfkyA2efMvzpnj5/8N2gqFuS2tkWL5FwsS3vuqQLYxBZ k51JprEkSk3r/F0fXtFI8oSOO2CYczIE+tGxVkH6Mq+dsVYKDE6ELfW2t55vrRA/ lxdKe7mC2NqHliXF0+Xqj326eUJQXad1f2aPl3hs6eHinceb/EasDPR1A0qkz4Ee nMRfr/W/ycVxVfuzs39vPMq7dDctu/v6p6vTNufeF8jdtJRjF7WlyCq+TiVXzE6p U6gD9KyGgRewMRoJe8Xa42WgF7Kuqrpo6qFsRnBi/C4B3otzqzAJ+V9+sP8T/E8Q ECggnsGiUfGMIzDYXwHLaWk6CmVuZHN0cmVhbQplbmRvYmoKMTEyIDAgb2JqCjw8 Ci9UeXBlL0ZvbnREZXNjcmlwdG9yCi9DYXBIZWlnaHQgODUwCi9Bc2NlbnQgODUw Ci9EZXNjZW50IC0yMDAKL0ZvbnRCQm94Wy0zMCAtOTU4IDExNDYgNzc3XQovRm9u dE5hbWUvUFRDRE9GK0NNU1k5Ci9JdGFsaWNBbmdsZSAtMTQuMDM1Ci9TdGVtViA4 NwovRm9udEZpbGUgMTExIDAgUgovRmxhZ3MgNjgKPj4KZW5kb2JqCjExMSAwIG9i ago8PAovRmlsdGVyWy9GbGF0ZURlY29kZV0KL0xlbmd0aDEgODQ2Ci9MZW5ndGgy IDEwODcKL0xlbmd0aDMgNTMzCi9MZW5ndGggMTcwNgo+PgpzdHJlYW0KeNrtUmlc E2ceVvHoBt1KRQqlra8aTpOQCYZwdBUIp5UQCC6VlWOSTMIsyUwYJpxt5dJwiYJm EcEDsSAoxAK7CFSiYhUBOVq7HAVkqUdZMMCKtkitG2Dddul+2d9+29/OfJn/8zzv 8z6/5z8Wm/kCupsYFyJeOEbSIQbkDLh+gr1OAGIwKRYWXAKBSRTHPGAScQaQkxME 3JRSALEBk+PMYjmzOBSKBeDiigQClUaSwJprM6/iADc5QqAiGAN+MBmJyPUmIlgG BLgIRcgEBgBuMhkInD8SAwKRGISIRcQMCgWCgBgVkUCISFGMYjefyReT4ICzCIuV ildULELE6HMBa31OG6BPKcYxWQIQIxKKHQ/X34bos/zHsf5NqqXmXkqZjAfL5+3n e/oFDctRWcI/BLhcoSQRAvjhYoTAlkqDkcVsfogYVcqXsr4kLENFbphUhgA6tJ3B tGcvEmiMFxqPiPkoKYoEElgWgyzgCCZeGkXf3kIQO34Q18Pfa9viYhdJPoxiZFCC AgHMn9QLM/TTrC+JQOPB75gMJhPSC/Xvq6/QJZd5YiJcjGJSwGI7AJgg4AQKU2/F YrNBEgRQTIzEAyRen9iOgeGk/gjQV/MRkOAEZX6rkCMH2MWg+u5gYp5ZAB30GPef E8TcDuxgTCokYFEUQsoQCfkzjv1zbnHp8+QvG3F3x+OT6PZMQHdiOwII2u4AOBzO R/8q3IOh0UrE1wOwmUymI+S0gIqUBIFg5MKfqG/71SxB9RtCkHhERCkq3oguD6e9 s+1pxMzVr7YEN7Z29l86YRVSA5nxulKPBq5KxXkFoZ2dt7bRnpRkFHYMb+pnd59M cfmV7Obl9+75b20oW1e3qTD2oj1LdPu1wck7V3anr3i8rBQjVSK/107fDZkpzfrt OTeai6Hm+Xh00tTw6bnE9Aitd4jU9NKt94KNPLst1USsYBXz7NzkzdZnisD4XKlB U9h9tb3KsG2TkXMfh/9VwWX3vn6Zu0uJ1W8GRePcJ/4Vvy533rrrSXh/Da/e30yI 5VHvJbbnC4tbk2jfv70rs4b0TpbXco8OTbnafDA6oDN8/8nG2UqKJf+Lv7w7mvmy +rZrt8bk9Ud/O2Z07cYHaM9Fl67Rar9y6pagI+rpH05PRAgzIXw9Fn1i1+gLT93B w0NTicljZZZN3DsvKk/eAdkZLwo1oGb/yah9A7/fef5QSFdndth4bUYQJ2eiRTvw uWWAv/nYnHW1MNO08ZjtjlX1Oc4vk3NmTD55vLzZegVUH5KoWyu5FFSwoflZbfu1 jIcWjQfPF7nm99Y99hsy+GyKmvttO16hoTWI3LXZVeX7HfY2Hz+xcgXLHj2po2zo umITwUskhkLzvY0dxrg3lJ4Gtvb0gXMNhwIsMhSPZB3Ud3vL9nMotwuKrr8pPGew 4cc/kn09/O7BlAvIjakER5VgxixJ+KGXYJ+qIUvr22TX/QDpyc6tZn9hXt2Tblq/ vqZ0ZWt5ZkSyiYf55tiqdpeRynF6eQBrdPWLr6eGh6TGmWNuy+6rQo6/daptWn01 X/e61Ym0/MY2xaTw06yoj9UB9wSfhQ9mB+ce5Md9bONpYjxR/TKgVdst5E08OOBz as2BDFuavGq2ObfVNEuBZ4eWedP3asDOOM9aQZ5H5B9S79ocZVymmbk6G+68dp36 Nqvl8wK21ekvi2fGz1gR+54ObCla4xczqPVOqQi/eOj65Ejbh9yVJc/jCnceuTad Jtdtsr38Sb+/gS7m2Ny6qTrebAhjzTDm6kPNMVPv0lUUPxQfqMfXgsDGnqDcFC23 68F4Yl5HpXdm0JrBporCH+4W1t1vG/u0bRhfb6DaeqG6ql+rHv4yPNgAvunwzSU0 1PtP0enJobdiD77f6+ax8enqwkHr27MlPtQyL8NDLRq1TzvF60EVe3mbaVoAfnXz t4HfrFZvD3/kmOSd99d1e884Xmjkjgh3q48r0vjPS3u1s5JQzDBUk3P4rTeGihOM U7dE9L2sODySNYcFryPeMfsuqXek2Vj55yyhf9HEjqIdp3gdeHpLQ1gso6lPUSxs V145e5ESaWL+7GpOmGayMnR693nfI/gb1CifsZo3f7TdY1rWccd8urF2mLZeXNcn S03ZalRSQBWUXleFwe1sVcSyVWfQc61fH/OMO5Vbu01TYZ6W1HM2YE+bAX2AlmF0 I1iSl718gNgckf597wWlam0nv2VDec0z4++4/fsfRhOWhnE6w4rHUwPM//Kh/N/g f8JAJENggsTlMBFFofwdgqGfsAplbmRzdHJlYW0KZW5kb2JqCjExNSAwIG9iago8 PAovVHlwZS9Gb250RGVzY3JpcHRvcgovQ2FwSGVpZ2h0IDg1MAovQXNjZW50IDg1 MAovRGVzY2VudCAtMjAwCi9Gb250QkJveFstMjAgLTI1MCAxMTkzIDc1MF0KL0Zv bnROYW1lL1FGWllESCtDTVI2Ci9JdGFsaWNBbmdsZSAwCi9TdGVtViA4MwovRm9u dEZpbGUgMTE0IDAgUgovRmxhZ3MgNAo+PgplbmRvYmoKMTE0IDAgb2JqCjw8Ci9G aWx0ZXJbL0ZsYXRlRGVjb2RlXQovTGVuZ3RoMSA3MTIKL0xlbmd0aDIgMTI2Mwov TGVuZ3RoMyA1MzMKL0xlbmd0aCAxNzk0Cj4+CnN0cmVhbQp42u2SeVgTdxrHC4Kr seByFZGtDKwgEAgJCEhQEaIRZEEOEeWOyQCjySRMJkJEI+WohEtFBDYUCxIeCyUo lxWJFJRLSPFAENECcsQFlDOAi4gNuHafpftPn/63z878M+/3/c7395l3XkN9D29z RxrzGEhmwqg5AUcgAiQ3LxuAgMNjDA1JCEhBISa8l4KCRIBgZ0cAHDlhgCUeINgQ reyIeEsMxhAgMVlcBAoLRwFjksmyyxZwZIAIRKXAgBsFDQcZ8hAqhQ54M6kQiHJx AOBIpwNey6+wAS+QDSInQRoOgyEQABpERYFjYBgEYyyWkVzgUCZg+1GmcVifWidB hC3nAozlnCaAnJLGhOlcgAaGYizcmfLTQDnL78b6L1Srw8kcOt2dwliOl4/pN10K A6Jz/9VnMlgcFEQANyYNRODVVl/wI5obSIM4jNVdF5RCh6iOcBgdBPAfJYhNhqJA mgeEUsOBUAqdDa7oIExbDSEf2wqChSfZ7+heZ+zKD/3Y86BAMHqIy/o1ddm8UhP+ XcuHg0BRgD8eh8cT5Eb5/ekpcNVZ+2AqkwbBYYA3SoFpFIT2q/BbJicnZlS0uXx3 zC2t5QtEsLMCbK3xZ/7T6ANDERzQZS9gjcfjbXfYrahUDoKAMLqyBPLv/VSHQvLp gGAUSMXkfKMFKQSbfYmdDZHVdRr43v6pywNzp/BNtvVc3hcPWiY30JVxT4+fSzjh IetWWRjzSMl6a6znkFjGc7O/UDcXdI/L3Vzy4gvT0Dax/8AsUZT6yvyRRpWfosWP 42BKdbB/BTbPOjpIeePP07Q8lFU71aivc/NdZzOv9hmtxA9be7+7YihpuOYzIrVz X6RrOjY3eO7GWridRPPT2MS9YalxhhFrlbDkM7PH3OdsR6Vz+JFyYVWeBKcrGxDm vXJ23mn/IHDodKMRhph5uoR1rcA/sYqkpfOl0l8r1wacIpmcu5Ry4o3IHhFR715M hv0A7X08FXcx4LpGz6GpfteZa9tOZdxWSPt7dsXPiTFqhU8bABf+zMYLyZe97Xvi fck32d9HjPqCeY8OkjxYvP0t26jK5QkabS9rVO4YCbwjcnrIwzbhgX1RrQrkm9W7 Tyoe/sHtUq67ddUrZMfk39JNUt8/Slwaxfd7j79rq7IA1CKxxFK72RifrJr6f9Rw hOR2hT142fSk7NsrmbihfMUDKLPI1Mb4uReLjT005DD8esHroDovWBKVFikNybY6 3nV2SNI6aWiJdPZxv3aV/bC9TXDkaKdvt1jtVr+i/lg9LqvXVY8Mi+KELRmsS1Rx kZLSnwvNj+K2j++R8IIW0pXJ1V8Vg5c1rrrqJtzVzz/nf+zhrSu+BeGWujGkwhsZ /bZZIUJSlyUfqyli6PRIUqLWW5JEYdKCdcPwiXBHnPRCmUoJrM06dyhPxXPxcrSH 6i0FTgQ84WqWP/H1SU0wZ9wBy9YZiWb2bVmMj55pH9RiItPanj1pwTf5fB0pNxvo 6F3r9PRwfy6z9OBkakdvD4H9o6xGbf7i+vtnXijzT82vH9URXFgcTxlqLqj336T9 uWOd20DHu+9mnDKL/NO2pA6yc7S3OZw3SxjRpAQQFlR68AbSBuM1kc2Lyk+1da8j Ot6U4x9872pVGzQm8UTtH6YM9Bn/3OFbEyB7L2YJsSHudUbAQAJ+mk/PnNDjTyu7 Nu6PDUIfm6oqfku5SvJ6fIUqdjNqd1Z8tUkZnsg1E3Q+2RPvsk9bcedI+3VWe8X1 QrSlJjkyLutPphrVj3aTd1xtFI7CbZI3Surmeh8Oi3sflkuCihJj+98qSMF7cZrS Nc/LCu2bB4pajjxInu/d4N06fmkrY6LRb11Tj/X9xx0xLwVLrrvfDxpwJJuz5wov j4cMGjUxdDdLwvKyfBufjKmMyYoI9uTA5rMip24fE61rTneuCzIGtIZbbgUsCWIZ rV2i7Yklk38x0M3d+rD09A13mwSWj1nZSG7l+Skni9qIoZEh54M8o7IGhioY51lC mEjMzyqvENtBgd8bdx4obeaZLk33dwljXxIlF4tNwvo12jYSW9GayfPDejXfBauX ev6k/7DhdoPq68wpaUpeTHLx6GtD1fmc+bhn1Rnl27/qSvBTGiGf/myLrHYpFRLb +h2pDVqM0y5OVnIt4OZ08gend7U6q0DpzMru9Hi1jvgixvNMh7DK8Q1gbX1xFW2/ 2jNBeGoZIEjrbpoiDOVnJvnv3szz+maOqx7X18T//N7C5LG3PSkJPR0P1pkc4G/y udP9IkR4r1sqtS8T95tnbL2P5auLxs7u/FBdd6isatEFLGiE4xOxszOz2ON1b2K8 na/uCtCss9qYkXTXqM/Tryw7PhB5ks5tScL/wQvz/4D/iQAqHaQgKJNBQU5gML8A 0P/X+QplbmRzdHJlYW0KZW5kb2JqCjExOCAwIG9iago8PAovVHlwZS9Gb250RGVz Y3JpcHRvcgovQ2FwSGVpZ2h0IDg1MAovQXNjZW50IDg1MAovRGVzY2VudCAtMjAw Ci9Gb250QkJveFstMjUgLTI5NTcgMTQ5NSA3NTBdCi9Gb250TmFtZS9CTUxZT00r Y21leDkKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDY5Ci9Gb250RmlsZSAxMTcgMCBS Ci9GbGFncyA0Cj4+CmVuZG9iagoxMTcgMCBvYmoKPDwKL0ZpbHRlclsvRmxhdGVE ZWNvZGVdCi9MZW5ndGgxIDEwNzcKL0xlbmd0aDIgMTQ4MgovTGVuZ3RoMyA1MzIK L0xlbmd0aCAyMjE0Cj4+CnN0cmVhbQp42u1TezxU6xreSclsbZfssrt+0YgwM2vG XbNjmFwHuSfKamYxK2NGc5HpYlcqRC5THHQhSbVDKpcipItcKkpMLtutOkRRSG5p D9L+dTpn/3P+O7+z1m+t31rP87zv93zv+37Y1Rs5bL6LMBCBdCAcwRjQA5BgIwDh IDxE1LHnBOkY6QKAwWLdaAIe7IcYAyLBQN8AEHVJBMMpArhAG2kuOm5EHEEbmHMC hVzUj8kHGnRNABkZkbQlL11tQIF5KAvY4gANZgl5TCQIB8xYLDCt5QEuwkO4QQgD h4GIgIHS+WA74oeyMfgpb9ZsXw6ASDM4QxD4hQP4IITLQzlsoPGNWU1JNpjBYbOE gIH4SmT2HD5KR4DGX968NMy9pt39Z2NOM8acZo15ESAiBbbl0GAw5Ykn2SmLhdD5 kvW1gR0ShLB0KLjvlt4oYLHs4QDJ4tNV/Z6HA1CW8O8U7shMNZ0QPwEL5n7HW/Nh Fko3Y/uxEAAIX0CUtxENRhiOKJ/OBMAXZvGQL4wrm4FwWSgbceTw0CnzAOhAJNK/ si5MlO7PRng8IOn2F9KMR0emeAD0JRMxg1kgX0Ed6CtqDgdazdgG+oazuT1mIV0S NA1J4r7dzHSzp2uBp9DsNjvQtGZGcYaksukcBsr2A0Q9fQBzubAQQwCQ5E8P7IEA KjERDJBgyX7xODaHLwkBgQL+PuDL4WKmZmbqgfQhABGAH8JH2XxJW2GWpGLTMRLp V+ir2oAEiKRv1NDfyYkGMyRkpD8VNCXCfLs/RxidOWmzncLPHj0AoL8AGsznosFg CwFHIEASpeSe/fL+NxWjUDgSsQ5RD+gQjfQMAKRrpAcM9L7TurLRnQLE2kLSAQMC pKdLnIGd+VyOP+KOMvjMWVt0AZeLsPnT503Spdl/X1QyYwgSjNAxJ08tCGsOHV/5 KFQvp8jo8bsrjGG3CbaXmlxl3QXdHZm75xcnmxqtP+ttwEtbOf9mLpZGcHwto16U EweOex6ziGp+kNQoNS9NKQ7rkEF6KId7Hnagf/X5Z1u4Fl4aDukOMUY1bmiQjKfo deeJ3ZxKctgpzV71/WeqLWSrK3wR9YdvRUir71J8JGZxCfVS05K+KxE57WqtWnN5 LZeT9vkUiFuWOYQgmHUpi6rmmQ/m7M8mNWzTkLpxfzVti0/t03ifhIikPfFbzdMb k2s+luJLte/VDlmW1Ttcf6YVYmmxNv8P11TnBY3Lydsr1Yf/mX2oR0tWN/tWihlq Y38Ha+dBp2JM117acxjBcjvqW2Ui9WLJyy7fyo/hBRekveteNfHTESXF69mwyDNy c3fYmuHJSQPl9RS3OSHVhUXdmTan3dQ5NgnjwZB4zCfZM+xj/6dz1VvFB538ilVl TcfmV3WNBMX91KVVXn3oyFGrxlx63KG+xCNSve1yhTmhF3E1yuNWWp3XV1AV+0ft BepU1d3rwiyrW03C1Qe8r7iWt+I9Bn/0JZ71jn1+P6CtZ6RKWfiAKTTdfKUsECOP Yw04L7vj3xnxj7MXbTMmqDlHpV+IiANkGamk8ffDCWQFqVrcIiYyRq9ojw571Qat KWxW6B1w6Hcdl/EQtinNLVTea38++GqrdjFRU3XBIP2AzlzLyE2urNu6NzePrpWH Kfi6V2cwd9U2WUE+m7LfEmPRd/PaHG9LLXKB/qhjfu7nDlOtrSzbV/uFaBQyD+T5 p7CDuAYba5oZ+arynQm0zKGGx97hyk+2meubuiR6AhDSZPe0xfmDTVr+zRd7f9ne Y2sf63TWBoGkDA3ve0YpNsTvWp5YcU20B3vAra8+fEcq/gPhcDMrzmlQ4XZfshXM kRVcDR4z1Npd5fJ666fJq8cVfl/CXOgqrv39bYMyebPjRFztowdO9c+EtvFW2p/E 1zLKfu2VyxktHsYY8qy4Q13q7PqwyuonGW8iPBnGbM82iq7YxlK6uVilKGYsaugw GVofUStVUvOqOHey/6D93FGTvGNqXg9sRih43eslJYo2aS8UYdTu80DJkqLfcrdK 952Xse312NfjRe0YMjv5Y2pkApYpftVatGVyrFPuRqf/qoIM9coW0SZh0RlXf45M A6Q5p6sw0XlUWG8c3iY6cvzQ0M/lO0LFu8Jvfbas/xyS2vRefky4ptTM66XhoC+K plhhKmVCa5ary0SNHTyTI2vZZK3T3cV3az+sgjX2aalTkAxK9/GOscbh+IVVIaKr fi1ul8ll9Vb+0tbvTiyt0B5NvnQkulSQ1tg+0pehlOBwK2ktviv0fd6Os+KoMssN uefS5ek/BCqXNeqVuLMnytOpy5SkL/OZ69OzkoJPmJlseLMkmixrbG5ZQmuiqov8 80hwpunjBu/wp6sfaSsdNJ5c8TDLflj+h+4min5y3a8dXh/Wv9/pb6UmTsuLvGO5 DZbZe/F57Q38RXN90TFs5oWljrBNhc2tBFuHPdgc95wL2SMCJ8NTjiJWVd1bFROf dPejYwPxLWNqLzUTfBckF/tGVQwMav2Wc0wmuD83cVGWfkPL/PChXad8Slw8ErWi NV9TfoF7Lxa4Vgf0kMUZpzWoodt5ebHENRVZLJV1MYzonZ0xNRMj3FVuipfVLDCq 49Jd1kfnRR09vnI8WkrQlsdnlrTLeQfqg5qEjyoNUu2ugprC9FNZpNAUBRw5+hwu Yi/X2l68uGWfXtjtFatkcfKslHKO8waHiqLdCoHF+SUD19yY9xQQJQ+oYH/82lFa kHRp2kc91YZxoZB8yPDe3ayOJQUXVixNK/dTTf65Z+GTehXrk5Y3ni3bL852yoyE FNRsNN1FhhfuUEupHR4r7JyG5KoNls6p+Yn0LL9e+RjFg/J0sUFibDHTOzFAoXzO 3YURJq4CZamx1F3k6IZB/9OGqW8e2i4veRnhnDLvpMk9XkDU03eAHrNc8NjoQycu UYrwX16Y/yf4n0hAZyEwl88JgLn+mD8BjNuanAplbmRzdHJlYW0KZW5kb2JqCjEy MSAwIG9iago8PAovVHlwZS9Gb250RGVzY3JpcHRvcgovQ2FwSGVpZ2h0IDg1MAov QXNjZW50IDg1MAovRGVzY2VudCAtMjAwCi9Gb250QkJveFstMjkgLTI1MCAxMDc1 IDc1MF0KL0ZvbnROYW1lL0lRQ1hQUytDTU1JOQovSXRhbGljQW5nbGUgLTE0LjA0 Ci9TdGVtViA3NAovRm9udEZpbGUgMTIwIDAgUgovRmxhZ3MgNjgKPj4KZW5kb2Jq CjEyMCAwIG9iago8PAovRmlsdGVyWy9GbGF0ZURlY29kZV0KL0xlbmd0aDEgNzk0 Ci9MZW5ndGgyIDExNzAKL0xlbmd0aDMgNTMzCi9MZW5ndGggMTc2NAo+PgpzdHJl YW0KeNrtVWtUE2callRERxEQgUUX/AQCKCEkgRCCyB02UW7luipexmRCxiYzaUgw CAhY7FJuVqmARS4Vu4gigkWQCqag2LReQAUxoMtF8AKiQmu5FdwB1tOzdP/s2X89 O/Pne5/3+Z73meebcz7y+qAQWw8+vhfxxTGZLZ1KdwZe/v5cNiCWNBpEJntJEViG 4pg3LEOcAZ3NdgRb5CLAsAc0ljPT3pnJhCAy8MIlsVI0SigD1l4bZlks4CFGpCgP xoA/LBMiYkKEB4tACM5DEVksFQAPkQgEz26JBsFINCKNQfhUCKLTAR/lycBeJArF ILtZV1xMgAPWPMyXS963YhBpNOELWM853QAIn3wcE8UCPiKA7AJwYh5CuPmvjf0H XwvFfeUiUQAsnpWfzep3bViMimL/RcDFErkMkQJ/nI9IsYXUCGTemz/CR+XihV2u DBahPA8sSoQAW7oDleYwj6PRvqgC4QehMp4QCGBRNDKHIxh/oRMivjkfdtwPvf4a FGIzf7bzzSAYxWShsRIE0H5jz9X032oiIymqADtoVBqNThCJ9/1q54JhPhgP56NY FGAwHQEslcKxEI2QYjCZII4OUIyPKACiIBzbUTFcRmwBRDIJQIBLodljZToBOwlx Mjh/Fp+H2MCOh4vF8Bzy+0/z9MQVcbYMNrBlMIlRNBYTsJi0hH8nhmHox3KE6w2Y NCeWvdN8hDy5VIpgsrl/iojtfS1AiaQRRIHwoCSH2EPn2J5qWg9aqq3NoZtId32i /eeYqa+oqzhY3sk8WdMlqzfHIswUEqufvSVtKZYUxxXdj7sdI0KcI64YjtE4yiu/ 1joji1M0Qj2mVazz6i2qqXskqqtqxKCt+kpcooHTEbNbcN7rZ8KGojvfeGP9Zx5Z PbhtYHHYKeDt2+zkd51eo/dWHKlMO3XgosaO/f5V2uXTt+2f6hhl+BqErN5XbdXQ 0bkqZGux4vxmxeLV2dqnx9vTrk77dOnl6w65FzzMPeaCSUJjfbdsta/YTFe+yJoh F2mNHSexrlT0j9UEzpxxlieWGrWvYOSxrY8qH6x0KA6vfEAyKZnOT9dQKiovbr4+ uGmJpoE2uJg4MbibbCHQNVYfOtUf39FkOvBjodpMsX689WNjdkKf0KnRJI5ZP3zd VcPQ8smicYvCh74dl241fEYKW9Fp9HhEvxs5UuWWvFeoqx8j5CkCJhute0wncntP 0+gbJ1U/qTnDLzval0GXVPw6k0QsiYyvXPdDkR6p1g++5YNR1w6/eWrVPqYTfSTH WV/A12w2VZr/qHUwNwKy0/tTyEfHBg63mDTsVjoWf303NyRDkxaQ/dVul2w9odrE k+P6s3VVyUjtAGfaxPyyTpi56rLSZzkpKbDmswkDlSB7rLvqupvQ0Or7N1akNSVn jI5yRpJPqremfl5WzntkmiYcDa0JxI1cNpOeDH3H6tTUcjdSVem/CAywtayOel1Q fPBCx2D8pz3kC8HNd4Y+2fbh04OkkswLpoVo+j3jnEYt05R3iVf3//J4ohUvszF8 OXSzh7U8Ut0W1Dr6+T7dyPMTrq1QfWIL5QQWb9AfvAhjsrVP1LU0nyCPePsB9bXe XzfoMlqKytqTBhvrj/McOtlr/wbJ4ze92lfSo3lxWerD7W1r+O4bcy2faK7rA3Hy 9adZ2Wv2+z1ce9crop7TtK+ioDmnryLbltLtfZVV3di7YQecmPWLy7kb8WnZ6RvN Vr4qDRyecoiKuZsa9rIu8lF6Qc252vh3XzhLzkavpCDp5MRzTTN9r1y5rm88/GrN vwkS/UXuvurtmPkB0jKnJKMtsdSByXQ5pZdzTXXzOnyq7GSFnqRr0k9dLNkebib0 aOUtEfj0gClh8kx2Ufj9KRP0pPtz7rZVnON1P1UywoByz+E9B6Ipaeb5ocX5kcUK haXWU8PM8efT7V2r91hANjP0yE6VS6Nu59LFfSUDpZZJlTcFr3u0pxbZf8epGzzh nQt/XzcQ8YPOocKsTKh817BBOO928LcJXQ0uHBbF7Roq8MyyyaxvLG34oGtSXHh3 IN7ILm3Uu8elSCNnIH/HYxEls3/l7Y6uqWTP4foanaI8sS2/c0nz0p2vhytvRMbc X14RulP2SPnC8aVFXUnrPy7XbjX9YvuQgFfgu424odx7NUPAaPeXnYW5NtZDzNFv q8lr1Q3HPnD7e1BO6jO3r1Narm3Uvl+1q/mtcdudEfuzRmUXosoUZ1ON300sY41T 6Ppp4ZLDjMroTTfbU7jdX9pkhEdOmVndYOyWKB2o8WZWCdzkviHXZ8kd3AIsJ6u8 3Lwpbt3zA0cpSzMyaP/jA/1f4A8hwBMhsFSGi2HpRxD0T8TNp34KZW5kc3RyZWFt CmVuZG9iagoxMjkgMCBvYmoKPDwKL1R5cGUvRm9udERlc2NyaXB0b3IKL0NhcEhl aWdodCA4NTAKL0FzY2VudCA4NTAKL0Rlc2NlbnQgLTIwMAovRm9udEJCb3hbMzcg LTI1MCAxMzQ5IDc1MF0KL0ZvbnROYW1lL1lESkpTTytDTU1JNQovSXRhbGljQW5n bGUgLTE0LjA0Ci9TdGVtViA5MAovRm9udEZpbGUgMTI4IDAgUgovRmxhZ3MgNjgK Pj4KZW5kb2JqCjEyOCAwIG9iago8PAovRmlsdGVyWy9GbGF0ZURlY29kZV0KL0xl bmd0aDEgODAxCi9MZW5ndGgyIDE3ODcKL0xlbmd0aDMgNTMzCi9MZW5ndGggMjM3 Nwo+PgpzdHJlYW0KeNrtUnk4lO0eDmNphIrpS7ZHtrHOO7ZhZN/i2CKXlNKYeYep mXkZMzKWSEIiyZJIiy1bksiSpU1RIekcUupD8tl9KMdSfaO+rq7Td/451/nvXOd9 /nnu3+9+7t/93M+roujmoW1JQfxgO4TJ1sbr4InA2tnZwQDwthCEVlGxZsEkNg1h 2pDYMBHgjY0NgSXHH0C6ADIi6uKJeAiNVgHWSCCXRfMPYAOstfoaiwAsGTCLRiYx gTOJHQAzeCJkEh14IGQazObqAGBJpwP3tSPBwB0OhlkhMEUHjcbjAYVGZgM/2J/G ROPWXDkwqQggfCtTOIHfWyEwK5jnC2C/OlUHPJ8UhEnnAgpMReNcEN48mOfmPzb2 b3z9LG7HodNdSIw1+bWs/tImMWh07p8EhBHIYcMs4IxQYBbzZ6oX/M2bM0yhcRg/ dx3YJDqNbMn0p8NAG6+vA+l/q9OC7WihMMWNxiYHACqJHgx/rcNMys9OePF99YHz tnF09HDV/Pa235puJBqTvZsbCAPoB/srxv/AvIxYtFCwD9KBIDyPyFvfd/t/GmbL JCMUGtMf6BoYAhKLReKiIZ6UroEBCMcDGpMChwI4lOcYp8NE2LwjgJdMJKAiLPTa s+J5t8MFrNX+hAYAR/sB8RDAMb/Cv17RygoJDdcjAG1dA95EPX1jQDCAIv+V58mk BXFgBxtgABkR9Iy+XZnMYbFgJvvrr8VL7zum0niBw3AoTEZH63NjyoytXkK/0q6K ie3Ey6ts1//7L5aDyTeLTid281upjxwL2ziaeTVZKypCwS1TJtur9KDTpRi5lr1n M6TDH1Lx/smRWkcVUhR3dW5Qn+m0UxMMXIBk91+TMUqw1x0xvSb49v5hfnEWvZCz qIAqm6u+qCDH0BApOAInlRSkyCZ1Shnh0FZAboSJVZzWFE8t3nqj1qNv46Qytn8E Y0K9Tk23kgbKzV1sYoofpTBRlFistAvt4NXdcHOwDm9giE0wM8Y5nKUEFfMrvNpJ Dr+ObpzfjLpRJbWQdH7BcTFUSYnWy6pwdWj2uNKyx96+Rb3e1UPMu7DZI7BuQCh1 WEOxIVfMW2v+tltJtlnH1n882ORU3TX54Jxg/5neqRviROzSREGa/eVc/HRb5lze 6Uzhl7lWqY7jW3b7bBk0bHpW6/sujjTkFHYxR4kYwnEKEdn+rDjJ64BIhZm5iFz4 SvSkk0D55VPwCoW9qNDuE6HsNzdB2P3e/l56FjZFa0q0J6+x8D4uukihyD9am0Av 73EeXPLSliFW5iIGam6vHENS4jKNitleCdmF/CdQatXim9NbG/Te3+DoVnWb+LqN YmKWTEuV5OO8Q1l5JQGbw1YkDFXCQjrlq1zoruqrQ6UfPXA1XW9j+wVmibb1GHDJ vyfr0YPF/Eo/gpvKmfiC0NdFsVUXi2s/gIMNY8bWtCnZyYe23ZJP849oJN+nM1IP +xyAbZ3QWxP1jH17+v2vofEDZYdi9QeiZ5vEr+QV6Uzex/edMjPMcO+/0sopSfnN +vjuONVb+0bvOY5OkDCXpLJYXX0Ri/RtERifoLhHB8X3PCHVPdmwfzxLNdF4DNuC tBqfGL9K1sTenTCNedfzebu70oIqQ5NkP2xT+vxFgmOaSOnrUL7rRULHT6oMj4iP li6arxetWP3kol+b0XG2b0e6c2pBugSu3bNXbXxfL7Ih2uuGquLkxHr7ysKBja+e tKp7DZxLjqx8lE5Ff3oxZnezd1WmaL3wijnnUBlK6M5o40ieUsrNQR3hoTtXF+Cx dV4U7UAb/QpRrya7tvHUMg3iE2mMjq81hhUxJnV5Jw6TKNXetK8y6FeG98MFZRu+ azlvooy3rbtIWJZKER0ySYsrVZYc5jQlb/Ezhy25YW0vxmI1AKQXhr1ySCrw8zmV NvWDBJvlzqfHRZdW98nc9qsbmF11U9r2eMyjfPsmcT1qw9yeJGmHR6C4p+dxDQgL OpuzQ/pOOsFcTjHgGBTsiyxUSS7Iu2LyOnDlnXxPEgu4/qSa3vFmaExZT7dRV8DT YF6i6s2Xk1O2nSp5tSUSOYoYhb9BsfVGEYFbW9uGKj4d4boizIIFmS+PQgbUR9kF ufTYtFnNyfmyCOqDDjnJ04u+c1ny4WETFnN7XJLnI49hcl4dPO8j+WnIW/RxvKeT /DjIgZoEt+Gme537a7Wcfw8UcY93sJjLx0ku26Gfpmv7FXAtLT5RazftCuFzzoG2 vI7vfNsgSZiu7j7ZS7eKFKlr6NVMDBf2rBvfAT+rzDwR83Tbta2ty0Prh0yPRgrO 3Mn43B6USz566MS5uxJjfpw6/SPVab0XpPBJWHTfVLl/c4tcsvtsvWfSsQjvjP3d AgFJiajJg9ahPeSu509Tbu8XzpaY/TRdGZjzQqnrzPEbhbIY/iPd25bPiLbK8uv/ 0/Mwuyu4kK6acRdVk914bINJlEmGdHZhTzGqffHF5ZqiZw8WTcts3ttYeaZbuHXY V3MfK92qLEpdcBxW82LElFgGv7qLu6xq6KI1MxseiXJQDLFbLCq15le/1a8q7Ttx MS4bWXn9UqRkgeysTbgPez3QixMQwQqMpPfJ08kxFPXq6L6uEmuWUarpUVuDoplM i7jfTjWvpL9dN4UyJ2zERnAlA+K3t0gWQ1sPyGu7q36U72i0E7KPoAZ/SbfomDl8 qy3Ks0WyDlK+pFV/c1IeihG7OX9WY8rzhPBiatT7BuV7J6mF51pku40Hl+IqVlWl PPrr6/NXlAMW+GzofPkmZmpCvnY9Oq7Ckq1IG719VFpOdWVnjWawf+DzOznEhxY1 G3w+MjCuQGIkgZn2Qa37IiZYZbX5vvjol98rQM5u7TxB4vkltQtjMmJPiWWzVhU+ 5agKa6tN09Np6JfU1tOg1lhQfhI5TFjvcSEPxIbs6Iz9JWtjalL3yUOKg4MUDa6H HTZgC63Yr7jRsbA83+JAv8Sy0FLbZNS7tlVPl2izAtFptukrx/ECvfMP3+ZPjHXu LcLstI3/LA965LqD4sXsE7GuDxGzK3nPq+zeoOqFcAkt95o2tHfsndJs0KW5Cshl 9vf65KqQ/N61o6C7UWMzEtdTC1p6PpzJOpsQzCdMKX3Zi9I0qZzhD+BDfb7QJ/Y8 m4D2HrbCbRpEoP/yQ/9f4H9CgEyHSSw2wiCxDqPRfwAeBcPVCmVuZHN0cmVhbQpl bmRvYmoKMTQxIDAgb2JqCjw8Ci9UeXBlL0ZvbnREZXNjcmlwdG9yCi9DYXBIZWln aHQgODUwCi9Bc2NlbnQgODUwCi9EZXNjZW50IC0yMDAKL0ZvbnRCQm94WzggLTQ2 MyAxMzMxIDEwMDNdCi9Gb250TmFtZS9RVlFBQ04rTVNBTTEwCi9JdGFsaWNBbmds ZSAwCi9TdGVtViA0MAovRm9udEZpbGUgMTQwIDAgUgovRmxhZ3MgNAo+PgplbmRv YmoKMTQwIDAgb2JqCjw8Ci9GaWx0ZXJbL0ZsYXRlRGVjb2RlXQovTGVuZ3RoMSA4 NjAKL0xlbmd0aDIgMTU3MAovTGVuZ3RoMyA1MzMKL0xlbmd0aCAyMTkxCj4+CnN0 cmVhbQp42u1SaVQTaRZtFAmGxQUQZOkuFJQlQMUQkqCNJCASlX1fhFMkRVJDqEAW IIjKqiIMsri0KEujLZvCcZAeCKAsojYqoAKigkEJioogiiBBdIK0M2fsOWfOnPk3 Z+r7U9+779137/uesaG7lwWVyQ2DnbiowAJvibcFXLyoLngQ2GSJxxobO/BgSIBw UUdIANsCeAqFAHjBUQCeBIAUW5BoC4JYrDHgAgnYgJcoMozLAcLlRHwgFubBABPm IywUZgJhIkDAhgFqJMxDGBD6JR+OlBMzIA7gxWUgsEBkKedx4EaJeAiLLQBMHEwX upH+TQ0AUDkcwHOhhA94wnyYFwMzLbFYPB5gIgwBEAazEBRrtWCOjoZzAdJimCmM +grFwDy+3B9gIvdrCsjdMrkoRySXHo61cuXKu8FyLf+xrH+h6ltyJyGH4wpFyukX B/4HHIpEOKLFjG1CDsz7NsEPXpTkAjMRYeS3KF0AcRAGFWVxYABcDCF8JyQOZroj AgYbCIc4fPhLHEaZ37aWj+tLYysPXw+qg6v57yuxiLpDCCrwFkX9nXch/csd/4+7 fCw8JA4IAi1BEC9PlJ+vf7u/6bYNZXCZCMoCNhFtAIjHg0RYUE61iUgE9uABBGXC cQAcJ5dsZYlyBfISIEoo2CvfMx524R3xNtaAFT9aCMkXTg4sxsgUwEpOxY0VQAhn 8ekWsD/apNG4cXvIgIW1DQHAEwh4AA+ChL3/nOeDItFCmO4IEEECnkJedMkQ8ngw KviyTvIJfr2HI/J5w3AczMAmWouSKym0B+AQUqqm5ow3iM6WWWjY+uPJM+HHfLLi X1j/mdRxDdZR6k7b2NKwQ8nMmXieFLerLb8/VVNRSr7Ua0FRkMYbSGdyXVfUPJyi 0XOE4ovrUAliRvflFx0yGV2WO+Xe3ttqdiOj6/IJ52kDHSPbNVNnnfYru2aZS9Gp /e36tkknh2+fs5q9Osc/FlmZEZ5yV4sRm5hZ474BY5fouTXgjNra0K5TRZ1uso9c wrZ9m757kxdSfkRXVfaZ3lXSH/s50Re4WUbdILkjLLPU24W2p0IfXyQMCvIVLHE0 hwMXT5YngBEm691vjlRndxlk8aMHqh71yghOg3Y+ibz2eY+S15+epa8Im7hT64nk rJ96jzPRfjgY0gnWNGoftpuaCu2/oD5yBXwUWjhe8PiTUdEW6/xDnFkNVTG7yif/ /tqrlDz1TgPPeynhqzgU1cuVdfM17FVdm7OM1iSHZB5SMYINx9iJr55Pbrwh0BdG mD75ULi1t49c2nBhtK14vmFGPEa6TTKbsyi4u9v9xIa72GU5rtQjEfuEpx1VXkEe BW/MlPiuLevY2XcSPN6GxoawRfOt+EaX/Td3ErrdSvhNdaOTRtrampDb4aMvDnMs IgZWe+dQTs62JElxygd8OBLn6twSuOWVUgM4t3Fbqqp2E/56XdM8SVLPtKUetqx4 Yn+U5Tl0RguIn0hra2UsI2eLosf0lrF5yn66RMUGAlJ7I99hpHLYoTugqL9HV++N gbTI37epby+jpGbspfC+4bkO1YMeldTR3BddLJrOoOP5eXuFU++LXJCX9r1d2exz n48XZV7n1QPiSb51yo98I3zJ8VP54Cdyk2MsbgKmEMv9qqFB3yOKOttvdW7xj/G9 WdowFZk5MZbHibR+NKLXTDdVtCe6bTZ9nRXhZlgW4IxNSVU+/ksVKNORBA1hsVvM UmS42ObQwHERTqal05M2opQQoGEynCNe3i5xzJjyGrAn+ZV2ON7DlI/vMElJLUzo YGI64+nCDSvOihUqz7QFRXuSf9Xd8eMvqoM/gXW3W7o7bFwfTNvts/Gmdb3ck9w9 4xhzFWc+JJucNCVlDhhqkEMC2fM9EkHZu3UNJrShtLb+Z/Pf8UbrZxlGd/YaJ1/7 iZW3f//Ha4prg2OUq9J2OmA2FWrhDhUH4b73Dc685tCqFVg8G69arx8IxAmLCloL MDR3VesZM8EwYSpAUj28THapFom6rcXG/HUm7WNXerpqVsn05OZ3tR3nBlsNWzM+ KPCTlvzJbHgJhahrHO70XkmMmivfIecOjr6yHnRaygiQDFLRjaFGawtUooho9yw9 qSohY8bxZ9hmd0jj05rv7532fsLdh+uOUXaG+l5WMFneNtdb8hOmG193xtu+C3kQ rqtG8vO7lza6+bTaSDOerh0eRkmzkwbsrNF4MrP8iN/qQn9QKNVDgz8RkzE/9nMV nVYVs9SM0IshpWfK0vnEJeZawxcp/j3Vc26nd1Cko3Y8zjTHAly5xP7ValWnDx1L xal4PZ3gbnv/N5aBH34+maE9pnapvqL+sD6l+eHHW0OVhSpmEkpZ6POLl+2vYLY/ eysl5WjG/lbRVqty8FZnxQZbZFxSerwpfWLSwLNqQEXt/uAPVrShXnCga1ff0/qt +poet0QamtPX8tf77t1V/Eyzz7pAuS2AhatxkzUEMaT66iu9hI1WGNyFt/lB5nQP hTIsqL7rLnab5tnyzRuDXQAf8q8feCC19kCLUVqdXqX6KP6g59pSAqa6a7zksjUu vWImdPvdxuTUHl7TsP0DVF/c0tfbfPRIpZM41feYsTpG2bdKfyT9Sd/ccPejz8oK VVUzEz+0SpK8is3zMEoO+oFmWuTWDJq4j2K/QhOOsCrK8wxrM7NZXnMwN+Po9hpj sWiJjDYybP9UOftxQMhb7YmXN529Rc2H0ngnZvrbQ+tD7aKfBx9c7jWX0nafoWfA OT1qHsN9XnfS/ZPf8fO0nNdX6VcavcNWvjZ2Gh5f0zq5x0jP4baa26r3PWlep87H O5erxCy/yuzYHkX9C0Tv++3AqjlWggwKe+7zJpOSVLHScOnj/AGZCsGGMj0vhVaf Oee8zi71wDMp+F9+2P8T/E8QMDgwxBNwIyFeBBb7N3fmgO8KZW5kc3RyZWFtCmVu ZG9iagoxNjYgMCBvYmoKPDwKL1R5cGUvRm9udERlc2NyaXB0b3IKL0NhcEhlaWdo dCA4NTAKL0FzY2VudCA4NTAKL0Rlc2NlbnQgLTIwMAovRm9udEJCb3hbLTM0MSAt MjUwIDEzMDQgOTY1XQovRm9udE5hbWUvUU9XRlRMK0NNUjUKL0l0YWxpY0FuZ2xl IDAKL1N0ZW1WIDg5Ci9Gb250RmlsZSAxNjUgMCBSCi9GbGFncyA0Cj4+CmVuZG9i agoxNjUgMCBvYmoKPDwKL0ZpbHRlclsvRmxhdGVEZWNvZGVdCi9MZW5ndGgxIDc4 MgovTGVuZ3RoMiAxMzk2Ci9MZW5ndGgzIDUzMwovTGVuZ3RoIDE5NzgKPj4Kc3Ry ZWFtCnja7ZJ7OFT7GsejtnZTEUZPdLHcipG5MWFKbkOb3C/Rkcsys4aVmbW0ZiYz MbmkQsct9k5Jl6dQJHKfhOSSikJySTmpp4vUTpSUOTmLTuc8p33+Oc/57zxnrfXH 733f7+/7+6zvWgY6Ht4mthw0FHJEEaEJjUxjAvauXgyARqZS7QgGBvYYBAphFGGB QogJ0Cwt6YAjFIov8IfJYDCpdALBALBHIyUYHBYuBAztjeZU5oAtH8JgNogArqAw HOLjJmyQB3ijbBgSSsgAYMvjAV5zWwSAFySAsL0Qh0wg0GgAB2YLgVAoDEYIlDko J4SLAubf2hxR5PfRXggT4FyA4TypEYBzclCEJwE4EJdAcUPx8yCc5j8G+zdcP5o7 ing8N5A/Z49H9YcpyId5kr/PUX6kSAhhgCvKgTDkR6kf9A3NFeLAIv6PUychyIPZ tkgYDwKo31qwwBEWQxwPWMgOB7ggTwDN9yGE8yMEHtw8AsXT3c/Rx8V4/qN+m3mA MCL0kUT+w3VOPF/T/lnj4WCwGAig4unScCF+f18F/nCWA8JGOTASBtAZmwAQw0AJ gYpb0RkMIJoGwAgHEgOQGAemkBFUiG8B8EykABfFCHPf08wSoKAINNecrxlUgCKM QufrP76UnR0qjjYxNaMBJnRcSTOlmgGWmxjSf1X6IvAeEeTEws2oVHMLi/kuW4Rh ECKc/5HwxL7XXBjPF4LEEJsQ5+3pavjG8OFK6srg4vWGCfflhUnxCVt8zb/yrB6m Pa89NhJTtuHjTeuhqghCjIGcoVYV/Gry0sxsR6yzhUnC8Y70+9Itr50e1t8+mrhv fMdSG7dPqmZlk4PHzeR5S91CAFXZvdodN6x/Td/yJ0qD8rS/VNtPePgk3c1TXm6Y VOOur+HRb7NOltE7WVjK9syx0z1wu6m6k8UfujOoMZQ7m5ToJnaJ+GSRs3DQYeky HdFuBYGSQ8z+0KYeeFKp3kzxKXdYvjlImpJKCRj/yn9s0yXI/It7iXPIqkdPTxin w8ZGE4rMGGXucNrALuL7aSedMEasZ+Erl9ZBssrvznvirSgz61ke66dztx32RDq1 5OLpes3RdSc7shVfNfP1nZpmDxJSplShouavWer0x4ZPQdnqn952p7NeS/0vTAa/ Ssyqdi6J+NJ8Rj1UQ05xuTC6NrJVQRm1UX/Rt5k1NbOgdKi/szKo9cqgAHW4K09R 0K/VyIkZG1jdsJw1PGQSNCnRq3jgWVx99q688FD6zUYL4jtpdITWi1fwnagio2eD S9XKHllPvcneqVuVnNtIURvdQPuFT36vt8zryHT/k8tLSvbSzyVzd7KHnbrfWUHX ftnq7Bd9NCZbJUhNFb7qNeXHOyjZGtwf689uSXoeMPzXwCMGRImvaVFdEznWM563 n5j4vsW26AQ3/1GURpqkk3u057gsKM6/IihKC8Z6qsbW9PXUpR0I3KSFXFqWcUvp 8tlOUYstSd3yEdHy89admQLVRqDU3bi9Lv98KCqaSNnWu3OX+QeFvA9xgxY7RRqZ dmCa7ihnXHMg3kBHmTyxFrr6cUHJtKJRtP7vdR9Gt4D7QOuDEV29wSP7suNylKct PeprxyZ+bv91rKVQnbIYqmk6YUqumz53qxhSYtqNnLzYa/XG6mXx+YgTgfozWX0a 189iu2uerTFPK47S+NnfOyBzE6nsqSx8eKSVmV9+Sy9FQaH9Xpm6oCvdS+803dhs T2d4CbHzKrkv34K4/XbbJ6q36acmZKFmImvcgqk9XSTWT+Ur0eNX9oyuUVNJNDj1 1rQhy957UJH0cea8E6nphrvvrhU/hUmzSka2yS6iZeldN7jthcmVPgNJGR6J7esv r1OJNyG+rk7Osy4QaRs0gyUbjWSykvtX2qZu5wW6nV4ou8KixjkHNoW33DqSR1qF oYe9TWs2x4+XK7pOLlEpvWFULztG0uQ5NNK9t4YdVIxi0ixfYJzpOK2R5bwYBwpX FCyAOjsIAXcubScX2KCjJA4n17bQiJNapbM/cVVld5dqqZGH5sXzh1T7Eem2J0Oh BQVIuMaoxZ7sKPvkRp+Qxwdm08q3VzzGZstpFcEeu0nP/DjXFinkn+Odqr5elKSg o10wEjpx5lqJ5p5PZlxWUL7Vl5eC3Gd5Arfc5ZZo+EBHwn3Qk06My3qcHTu6IrVz 25surUq9HE7fZ+u0iWHpolNXHrQt3qHbxThmFdIIFm+cyl/NIjuh1+5VnfIxz7Rz vCqN9ZPlhLTOnta+sNwh4RJTa2HFy4HIYavKkEdw5QKmklHHrrjfGGW5vbUNDJfe kXCSvH9lQ8FMileusuL+Van3VlQd6HL1HTHfwGw4xpwxtdM00Fjb5x2w+aE4YTi1 4MHE/RfPLet6mwerd7/rtm8OGP9tzZ8zVLrV7xYRDy05aVuz6MjijWErbGwflJr3 6PusP7x6o0cunxk9sayqdsbqQ0bNuzbetZuZ2Sd32SdPmu+7vsjrbauoL4n45TMU JNEOOe1Iqy7of6oUK617stdazOEuaKkKa2seKJMXZB7UXxF7Dhq5boz13ortj3ba omnf1+sc0z1GavU+Y6qjK01Yfl2rXmdge8FRCdrgCveOYSTqf3kR/m/wP2HA5kEg JkT5IBZBIPwNUN4WRAplbmRzdHJlYW0KZW5kb2JqCjEgMCBvYmoKPDwKL0NyZWF0 b3IoIFRlWCBvdXRwdXQgMjAwNi4wNC4wNjowOTIwKQovUHJvZHVjZXIoZHZpcGRm bSAwLjEzLjJjLCBDb3B5cmlnaHQgXDI1MSAxOTk4LCBieSBNYXJrIEEuIFdpY2tz KQovQ3JlYXRpb25EYXRlKEQ6MjAwNjA0MDYwOTIyMDkrMDEnMDAnKQo+PgplbmRv YmoKNSAwIG9iago8PAovVHlwZS9QYWdlCi9SZXNvdXJjZXMgNiAwIFIKL0NvbnRl bnRzWzYwIDAgUiA0IDAgUiA2MSAwIFIgNjIgMCBSXQovUGFyZW50IDE5NiAwIFIK Pj4KZW5kb2JqCjY0IDAgb2JqCjw8Ci9UeXBlL1BhZ2UKL1Jlc291cmNlcyA2NSAw IFIKL0NvbnRlbnRzWzYwIDAgUiA0IDAgUiA3MiAwIFIgNjIgMCBSXQovUGFyZW50 IDE5NiAwIFIKPj4KZW5kb2JqCjc0IDAgb2JqCjw8Ci9UeXBlL1BhZ2UKL1Jlc291 cmNlcyA3NSAwIFIKL0NvbnRlbnRzWzYwIDAgUiA0IDAgUiA3OSAwIFIgNjIgMCBS XQovUGFyZW50IDE5NiAwIFIKPj4KZW5kb2JqCjE5NiAwIG9iago8PAovVHlwZS9Q YWdlcwovQ291bnQgMwovS2lkc1s1IDAgUiA2NCAwIFIgNzQgMCBSXQovUGFyZW50 IDMgMCBSCj4+CmVuZG9iago4MiAwIG9iago8PAovVHlwZS9QYWdlCi9SZXNvdXJj ZXMgODMgMCBSCi9Db250ZW50c1s2MCAwIFIgNCAwIFIgOTQgMCBSIDYyIDAgUl0K L1BhcmVudCAxOTcgMCBSCj4+CmVuZG9iago5NyAwIG9iago8PAovVHlwZS9QYWdl Ci9SZXNvdXJjZXMgOTggMCBSCi9Db250ZW50c1s2MCAwIFIgNCAwIFIgMTIzIDAg UiA2MiAwIFJdCi9QYXJlbnQgMTk3IDAgUgo+PgplbmRvYmoKMTI2IDAgb2JqCjw8 Ci9UeXBlL1BhZ2UKL1Jlc291cmNlcyAxMjcgMCBSCi9Db250ZW50c1s2MCAwIFIg NCAwIFIgMTMxIDAgUiA2MiAwIFJdCi9QYXJlbnQgMTk3IDAgUgo+PgplbmRvYmoK MTk3IDAgb2JqCjw8Ci9UeXBlL1BhZ2VzCi9Db3VudCAzCi9LaWRzWzgyIDAgUiA5 NyAwIFIgMTI2IDAgUl0KL1BhcmVudCAzIDAgUgo+PgplbmRvYmoKMTMzIDAgb2Jq Cjw8Ci9UeXBlL1BhZ2UKL1Jlc291cmNlcyAxMzQgMCBSCi9Db250ZW50c1s2MCAw IFIgNCAwIFIgMTQzIDAgUiA2MiAwIFJdCi9QYXJlbnQgMTk4IDAgUgo+PgplbmRv YmoKMTQ2IDAgb2JqCjw8Ci9UeXBlL1BhZ2UKL1Jlc291cmNlcyAxNDcgMCBSCi9D b250ZW50c1s2MCAwIFIgNCAwIFIgMTYwIDAgUiA2MiAwIFJdCi9QYXJlbnQgMTk4 IDAgUgo+PgplbmRvYmoKMTYzIDAgb2JqCjw8Ci9UeXBlL1BhZ2UKL1Jlc291cmNl cyAxNjQgMCBSCi9Db250ZW50c1s2MCAwIFIgNCAwIFIgMTY4IDAgUiA2MiAwIFJd Ci9QYXJlbnQgMTk4IDAgUgo+PgplbmRvYmoKMTk4IDAgb2JqCjw8Ci9UeXBlL1Bh Z2VzCi9Db3VudCAzCi9LaWRzWzEzMyAwIFIgMTQ2IDAgUiAxNjMgMCBSXQovUGFy ZW50IDMgMCBSCj4+CmVuZG9iagoxNzAgMCBvYmoKPDwKL1R5cGUvUGFnZQovUmVz b3VyY2VzIDE3MSAwIFIKL0NvbnRlbnRzWzYwIDAgUiA0IDAgUiAxNzIgMCBSIDYy IDAgUl0KL1BhcmVudCAxOTkgMCBSCj4+CmVuZG9iagoxNzQgMCBvYmoKPDwKL1R5 cGUvUGFnZQovUmVzb3VyY2VzIDE3NSAwIFIKL0NvbnRlbnRzWzYwIDAgUiA0IDAg UiAxODUgMCBSIDYyIDAgUl0KL1BhcmVudCAxOTkgMCBSCj4+CmVuZG9iagoxODgg MCBvYmoKPDwKL1R5cGUvUGFnZQovUmVzb3VyY2VzIDE4OSAwIFIKL0NvbnRlbnRz WzYwIDAgUiA0IDAgUiAxOTAgMCBSIDYyIDAgUl0KL1BhcmVudCAxOTkgMCBSCj4+ CmVuZG9iagoxOTIgMCBvYmoKPDwKL1R5cGUvUGFnZQovUmVzb3VyY2VzIDE5MyAw IFIKL0NvbnRlbnRzWzYwIDAgUiA0IDAgUiAxOTQgMCBSIDYyIDAgUl0KL1BhcmVu dCAxOTkgMCBSCj4+CmVuZG9iagoxOTkgMCBvYmoKPDwKL1R5cGUvUGFnZXMKL0Nv dW50IDQKL0tpZHNbMTcwIDAgUiAxNzQgMCBSIDE4OCAwIFIgMTkyIDAgUl0KL1Bh cmVudCAzIDAgUgo+PgplbmRvYmoKMyAwIG9iago8PAovVHlwZS9QYWdlcwovQ291 bnQgMTMKL0tpZHNbMTk2IDAgUiAxOTcgMCBSIDE5OCAwIFIgMTk5IDAgUl0KL01l ZGlhQm94WzAgMCA2MTIgNzkyXQo+PgplbmRvYmoKNjAgMCBvYmoKPDwKL0xlbmd0 aCAxCj4+CnN0cmVhbQoKZW5kc3RyZWFtCmVuZG9iago2MiAwIG9iago8PAovTGVu Z3RoIDEKPj4Kc3RyZWFtCgplbmRzdHJlYW0KZW5kb2JqCjQgMCBvYmoKPDwKL0xl bmd0aCAzMAo+PgpzdHJlYW0KMS4wMDAyOCAwIDAgMS4wMDAyOCA3MiA3MjAgY20K ZW5kc3RyZWFtCmVuZG9iagoyMDAgMCBvYmoKPDwKPj4KZW5kb2JqCjIwMSAwIG9i agpudWxsCmVuZG9iagoyMDIgMCBvYmoKPDwKPj4KZW5kb2JqCjIgMCBvYmoKPDwK L1R5cGUvQ2F0YWxvZwovUGFnZXMgMyAwIFIKL091dGxpbmVzIDIwMCAwIFIKL1Ro cmVhZHMgMjAxIDAgUgovTmFtZXMgMjAyIDAgUgo+PgplbmRvYmoKeHJlZgowIDIw MwowMDAwMDAwMDAwIDY1NTM1IGYgCjAwMDAyMTU5MzUgMDAwMDAgbiAKMDAwMDIx ODE5NyAwMDAwMCBuIAowMDAwMjE3ODQ1IDAwMDAwIG4gCjAwMDAyMTgwNTAgMDAw MDAgbiAKMDAwMDIxNjA5OSAwMDAwMCBuIAowMDAwMDIxMDMyIDAwMDAwIG4gCjAw MDAwMDAwMDkgMDAwMDAgbiAKMDAwMDA4OTMwMSAwMDAwMCBuIAowMDAwMDg5MTE3 IDAwMDAwIG4gCjAwMDAwMDA5MDggMDAwMDAgbiAKMDAwMDA5NDY5MiAwMDAwMCBu IAowMDAwMDk0NTA2IDAwMDAwIG4gCjAwMDAwMDE5MDEgMDAwMDAgbiAKMDAwMDA5 ODYzNCAwMDAwMCBuIAowMDAwMDk4NDQwIDAwMDAwIG4gCjAwMDAwMDI4MTggMDAw MDAgbiAKMDAwMDEwMDIzOSAwMDAwMCBuIAowMDAwMTAwMDUxIDAwMDAwIG4gCjAw MDAwMDM4MDggMDAwMDAgbiAKMDAwMDEwMzE2OSAwMDAwMCBuIAowMDAwMTAyOTgz IDAwMDAwIG4gCjAwMDAwMDQ4MDcgMDAwMDAgbiAKMDAwMDExMTkwMCAwMDAwMCBu IAowMDAwMTExNzExIDAwMDAwIG4gCjAwMDAwMDU3NzUgMDAwMDAgbiAKMDAwMDEx ODk2MyAwMDAwMCBuIAowMDAwMTE4Nzc1IDAwMDAwIG4gCjAwMDAwMDY3MjEgMDAw MDAgbiAKMDAwMDEzNTQxMyAwMDAwMCBuIAowMDAwMTM1MjE5IDAwMDAwIG4gCjAw MDAwMDc2MzggMDAwMDAgbiAKMDAwMDE0NDI4MSAwMDAwMCBuIAowMDAwMTQ0MDkw IDAwMDAwIG4gCjAwMDAwMDg1NjcgMDAwMDAgbiAKMDAwMDE0ODE2MCAwMDAwMCBu IAowMDAwMTQ3OTY2IDAwMDAwIG4gCjAwMDAwMDk1NDQgMDAwMDAgbiAKMDAwMDE1 MDQ4MSAwMDAwMCBuIAowMDAwMTUwMjk1IDAwMDAwIG4gCjAwMDAwMTA1MzcgMDAw MDAgbiAKMDAwMDE1Mzc4NiAwMDAwMCBuIAowMDAwMTUzNTk3IDAwMDAwIG4gCjAw MDAwMTE1MDIgMDAwMDAgbiAKMDAwMDE1NzQwNyAwMDAwMCBuIAowMDAwMTU3MjEy IDAwMDAwIG4gCjAwMDAwMTI0NzkgMDAwMDAgbiAKMDAwMDAxMzQxNCAwMDAwMCBu IAowMDAwMTYyNDY1IDAwMDAwIG4gCjAwMDAxNjIyNzAgMDAwMDAgbiAKMDAwMDAx NDQ5OSAwMDAwMCBuIAowMDAwMTc0NjM1IDAwMDAwIG4gCjAwMDAxNzQ0NDIgMDAw MDAgbiAKMDAwMDAxNTQ4MSAwMDAwMCBuIAowMDAwMTc2MjU1IDAwMDAwIG4gCjAw MDAxNzYwNjkgMDAwMDAgbiAKMDAwMDAxNjQwNCAwMDAwMCBuIAowMDAwMTgyODk3 IDAwMDAwIG4gCjAwMDAxODI3MTIgMDAwMDAgbiAKMDAwMDAxNzQwNSAwMDAwMCBu IAowMDAwMjE3OTUwIDAwMDAwIG4gCjAwMDAwMTgzOTAgMDAwMDAgbiAKMDAwMDIx ODAwMCAwMDAwMCBuIAowMDAwMDIwODE1IDAwMDAwIG4gCjAwMDAyMTYyMDIgMDAw MDAgbiAKMDAwMDAyNjA4OSAwMDAwMCBuIAowMDAwMTg3MDAyIDAwMDAwIG4gCjAw MDAxODY4MTIgMDAwMDAgbiAKMDAwMDAyMTA5MyAwMDAwMCBuIAowMDAwMTk3MDE2 IDAwMDAwIG4gCjAwMDAxOTY4MjggMDAwMDAgbiAKMDAwMDAyMjAzMCAwMDAwMCBu IAowMDAwMDIyOTEwIDAwMDAwIG4gCjAwMDAwMjU5NTEgMDAwMDAgbiAKMDAwMDIx NjMwNyAwMDAwMCBuIAowMDAwMDMwMjk3IDAwMDAwIG4gCjAwMDAwMjYxNTEgMDAw MDAgbiAKMDAwMDAyNjY4MyAwMDAwMCBuIAowMDAwMDI2NzE2IDAwMDAwIG4gCjAw MDAwMjY3NzYgMDAwMDAgbiAKMDAwMDAzMDE0OCAwMDAwMCBuIAowMDAwMDMwMjYz IDAwMDAwIG4gCjAwMDAyMTY0OTcgMDAwMDAgbiAKMDAwMDAzNTM2OCAwMDAwMCBu IAowMDAwMDMwMzc1IDAwMDAwIG4gCjAwMDAwMzE3NzAgMDAwMDAgbiAKMDAwMDAz MTgwMyAwMDAwMCBuIAowMDAwMDMxODM2IDAwMDAwIG4gCjAwMDAwMzE4OTYgMDAw MDAgbiAKMDAwMDAzMTk4MCAwMDAwMCBuIAowMDAwMDMyOTQwIDAwMDAwIG4gCjAw MDAwMzI5NzMgMDAwMDAgbiAKMDAwMDAzMzAwNiAwMDAwMCBuIAowMDAwMDMzMDY2 IDAwMDAwIG4gCjAwMDAwMzMxNTAgMDAwMDAgbiAKMDAwMDAzNTIwNyAwMDAwMCBu IAowMDAwMDM1MzIyIDAwMDAwIG4gCjAwMDAyMTY2MDIgMDAwMDAgbiAKMDAwMDA0 NjcyNSAwMDAwMCBuIAowMDAwMDM1NDQ2IDAwMDAwIG4gCjAwMDAwMzY4OTUgMDAw MDAgbiAKMDAwMDAzNjkzMCAwMDAwMCBuIAowMDAwMDM2OTc4IDAwMDAwIG4gCjAw MDAwMzcwMzkgMDAwMDAgbiAKMDAwMDAzNzEyNCAwMDAwMCBuIAowMDAwMDM3MjA1 IDAwMDAwIG4gCjAwMDAwNDA3NzkgMDAwMDAgbiAKMDAwMDA0MDgxNCAwMDAwMCBu IAowMDAwMDQwODYyIDAwMDAwIG4gCjAwMDAwNDA5MjMgMDAwMDAgbiAKMDAwMDA0 MTAwNCAwMDAwMCBuIAowMDAwMTk5OTYwIDAwMDAwIG4gCjAwMDAxOTk3NjQgMDAw MDAgbiAKMDAwMDA0MTA4NSAwMDAwMCBuIAowMDAwMjAxOTY5IDAwMDAwIG4gCjAw MDAyMDE3ODEgMDAwMDAgbiAKMDAwMDA0MjA3MCAwMDAwMCBuIAowMDAwMjA0MDY4 IDAwMDAwIG4gCjAwMDAyMDM4NzggMDAwMDAgbiAKMDAwMDA0MzA3MyAwMDAwMCBu IAowMDAwMjA2NTkzIDAwMDAwIG4gCjAwMDAyMDYzOTggMDAwMDAgbiAKMDAwMDA0 Mzk3OCAwMDAwMCBuIAowMDAwMDQ0OTY1IDAwMDAwIG4gCjAwMDAwNDY0ODYgMDAw MDAgbiAKMDAwMDA0NjY3NyAwMDAwMCBuIAowMDAwMjE2NzA4IDAwMDAwIG4gCjAw MDAwNTEwMjkgMDAwMDAgbiAKMDAwMDIwODY2NiAwMDAwMCBuIAowMDAwMjA4NDcy IDAwMDAwIG4gCjAwMDAwNDY4MDUgMDAwMDAgbiAKMDAwMDA0Nzc5NSAwMDAwMCBu IAowMDAwMDUwODg4IDAwMDAwIG4gCjAwMDAyMTY5MDMgMDAwMDAgbiAKMDAwMDA1 Nzg1NCAwMDAwMCBuIAowMDAwMDUxMDkzIDAwMDAwIG4gCjAwMDAwNTM3NjkgMDAw MDAgbiAKMDAwMDA1MzgwNCAwMDAwMCBuIAowMDAwMDUzODM5IDAwMDAwIG4gCjAw MDAwNTM5MDAgMDAwMDAgbiAKMDAwMDIxMTM0NyAwMDAwMCBuIAowMDAwMjExMTU4 IDAwMDAwIG4gCjAwMDAwNTM5ODEgMDAwMDAgbiAKMDAwMDA1NDkzNiAwMDAwMCBu IAowMDAwMDU3NjUzIDAwMDAwIG4gCjAwMDAwNTc4MTggMDAwMDAgbiAKMDAwMDIx NzAxMSAwMDAwMCBuIAowMDAwMDY1MTkyIDAwMDAwIG4gCjAwMDAwNTc5MzUgMDAw MDAgbiAKMDAwMDA1OTQ0NSAwMDAwMCBuIAowMDAwMDU5NDgwIDAwMDAwIG4gCjAw MDAwNTk1MjggMDAwMDAgbiAKMDAwMDA1OTU4OSAwMDAwMCBuIAowMDAwMDYwNjIx IDAwMDAwIG4gCjAwMDAwNjE2MzUgMDAwMDAgbiAKMDAwMDA2MTY5NiAwMDAwMCBu IAowMDAwMDYzMjM1IDAwMDAwIG4gCjAwMDAwNjMyNzAgMDAwMDAgbiAKMDAwMDA2 MzMwNSAwMDAwMCBuIAowMDAwMDYzMzY2IDAwMDAwIG4gCjAwMDAwNjM0NDcgMDAw MDAgbiAKMDAwMDA2NTAyNiAwMDAwMCBuIAowMDAwMDY1MTQzIDAwMDAwIG4gCjAw MDAyMTcxMTkgMDAwMDAgbiAKMDAwMDA2OTY5OSAwMDAwMCBuIAowMDAwMjEzODQy IDAwMDAwIG4gCjAwMDAyMTM2NTMgMDAwMDAgbiAKMDAwMDA2NTI3MyAwMDAwMCBu IAowMDAwMDY2MjY2IDAwMDAwIG4gCjAwMDAwNjk1NTcgMDAwMDAgbiAKMDAwMDIx NzMxNiAwMDAwMCBuIAowMDAwMDczNTA4IDAwMDAwIG4gCjAwMDAwNjk3NjMgMDAw MDAgbiAKMDAwMDA3MzM1NiAwMDAwMCBuIAowMDAwMjE3NDI0IDAwMDAwIG4gCjAw MDAwODQyODUgMDAwMDAgbiAKMDAwMDA3MzU3MiAwMDAwMCBuIAowMDAwMDc5MjQ0 IDAwMDAwIG4gCjAwMDAwNzkyNzkgMDAwMDAgbiAKMDAwMDA3OTM0MCAwMDAwMCBu IAowMDAwMDc5NDAxIDAwMDAwIG4gCjAwMDAwNzk0ODEgMDAwMDAgbiAKMDAwMDA3 OTU2MyAwMDAwMCBuIAowMDAwMDgwNjA3IDAwMDAwIG4gCjAwMDAwODA4NzAgMDAw MDAgbiAKMDAwMDA4MTg1MSAwMDAwMCBuIAowMDAwMDg0MTQ1IDAwMDAwIG4gCjAw MDAwODQyNDkgMDAwMDAgbiAKMDAwMDIxNzUzMiAwMDAwMCBuIAowMDAwMDg3NzA3 IDAwMDAwIG4gCjAwMDAwODQzNjYgMDAwMDAgbiAKMDAwMDA4NzU1NSAwMDAwMCBu IAowMDAwMjE3NjQwIDAwMDAwIG4gCjAwMDAwODkwNTMgMDAwMDAgbiAKMDAwMDA4 Nzc3MSAwMDAwMCBuIAowMDAwMDg4OTcxIDAwMDAwIG4gCjAwMDAyMTY0MTIgMDAw MDAgbiAKMDAwMDIxNjgxNiAwMDAwMCBuIAowMDAwMjE3MjI3IDAwMDAwIG4gCjAw MDAyMTc3NDggMDAwMDAgbiAKMDAwMDIxODEyOSAwMDAwMCBuIAowMDAwMjE4MTUy IDAwMDAwIG4gCjAwMDAyMTgxNzQgMDAwMDAgbiAKdHJhaWxlcgo8PAovU2l6ZSAy MDMKL1Jvb3QgMiAwIFIKL0luZm8gMSAwIFIKPj4Kc3RhcnR4cmVmCjIxODI5NQol JUVPRgo= --Boundary_(ID_CpbDIwjU034JquXF85welw) Content-type: application/postscript; name=par1.eps Content-transfer-encoding: QUOTED-PRINTABLE Content-disposition: attachment; filename=par1.eps %!PS-Adobe-2.0 EPSF-2.0=0D=0A%%Title: /Users/srecko/Desktop/ArticlesP= ortable/Chambery/PPQR/par1.fig=0D=0A%%Creator: fig2dev Version 3.2 Pa= tchlevel 4=0D=0A%%CreationDate: Sat Mar 12 04:23:32 2005=0D=0A%%For: = srecko@PortableG4.local (Srecko)=0D=0A%%BoundingBox: 0 0 230 57=0D= =0A%%Magnification: 0.6000=0D=0A%%EndComments=0D=0A/$F2psDict 200 dic= t def=0D=0A$F2psDict begin=0D=0A$F2psDict /mtrx matrix put=0D=0A/col-= 1 {0 setgray} bind def=0D=0A/col0 {0.000 0.000 0.000 srgb} bind def= =0D=0A/col1 {0.000 0.000 1.000 srgb} bind def=0D=0A/col2 {0.000 1.000= 0.000 srgb} bind def=0D=0A/col3 {0.000 1.000 1.000 srgb} bind def= =0D=0A/col4 {1.000 0.000 0.000 srgb} bind def=0D=0A/col5 {1.000 0.000= 1.000 srgb} bind def=0D=0A/col6 {1.000 1.000 0.000 srgb} bind def= =0D=0A/col7 {1.000 1.000 1.000 srgb} bind def=0D=0A/col8 {0.000 0.000= 0.560 srgb} bind def=0D=0A/col9 {0.000 0.000 0.690 srgb} bind def= =0D=0A/col10 {0.000 0.000 0.820 srgb} bind def=0D=0A/col11 {0.530 0.8= 10 1.000 srgb} bind def=0D=0A/col12 {0.000 0.560 0.000 srgb} bind def= =0D=0A/col13 {0.000 0.690 0.000 srgb} bind def=0D=0A/col14 {0.000 0.8= 20 0.000 srgb} bind def=0D=0A/col15 {0.000 0.560 0.560 srgb} bind def= =0D=0A/col16 {0.000 0.690 0.690 srgb} bind def=0D=0A/col17 {0.000 0.8= 20 0.820 srgb} bind def=0D=0A/col18 {0.560 0.000 0.000 srgb} bind def= =0D=0A/col19 {0.690 0.000 0.000 srgb} bind def=0D=0A/col20 {0.820 0.0= 00 0.000 srgb} bind def=0D=0A/col21 {0.560 0.000 0.560 srgb} bind def= =0D=0A/col22 {0.690 0.000 0.690 srgb} bind def=0D=0A/col23 {0.820 0.0= 00 0.820 srgb} bind def=0D=0A/col24 {0.500 0.190 0.000 srgb} bind def= =0D=0A/col25 {0.630 0.250 0.000 srgb} bind def=0D=0A/col26 {0.750 0.3= 80 0.000 srgb} bind def=0D=0A/col27 {1.000 0.500 0.500 srgb} bind def= =0D=0A/col28 {1.000 0.630 0.630 srgb} bind def=0D=0A/col29 {1.000 0.7= 50 0.750 srgb} bind def=0D=0A/col30 {1.000 0.880 0.880 srgb} bind def= =0D=0A/col31 {1.000 0.840 0.000 srgb} bind def=0D=0A=0D=0Aend=0D=0Asa= ve=0D=0Anewpath 0 57 moveto 0 0 lineto 230 0 lineto 230 57 lineto clo= sepath clip newpath=0D=0A-42.0 109.2 translate=0D=0A1 -1 scale=0D= =0A=0D=0A/cp {closepath} bind def=0D=0A/ef {eofill} bind def=0D=0A/gr= {grestore} bind def=0D=0A/gs {gsave} bind def=0D=0A/sa {save} bind d= ef=0D=0A/rs {restore} bind def=0D=0A/l {lineto} bind def=0D=0A/m {mov= eto} bind def=0D=0A/rm {rmoveto} bind def=0D=0A/n {newpath} bind def= =0D=0A/s {stroke} bind def=0D=0A/sh {show} bind def=0D=0A/slc {setlin= ecap} bind def=0D=0A/slj {setlinejoin} bind def=0D=0A/slw {setlinewid= th} bind def=0D=0A/srgb {setrgbcolor} bind def=0D=0A/rot {rotate} bin= d def=0D=0A/sc {scale} bind def=0D=0A/sd {setdash} bind def=0D=0A/ff = {findfont} bind def=0D=0A/sf {setfont} bind def=0D=0A/scf {scalefont}= bind def=0D=0A/sw {stringwidth} bind def=0D=0A/tr {translate} bind d= ef=0D=0A/tnt {dup dup currentrgbcolor=0D=0A 4 -2 roll dup 1 exch sub= 3 -1 roll mul add=0D=0A 4 -2 roll dup 1 exch sub 3 -1 roll mul add= =0D=0A 4 -2 roll dup 1 exch sub 3 -1 roll mul add srgb}=0D=0A bind = def=0D=0A/shd {dup dup currentrgbcolor 4 -2 roll mul 4 -2 roll mul= =0D=0A 4 -2 roll mul srgb} bind def=0D=0A/$F2psBegin {$F2psDict begi= n /$F2psEnteredState save def} def=0D=0A/$F2psEnd {$F2psEnteredState = restore end} def=0D=0A=0D=0A$F2psBegin=0D=0A10 setmiterlimit=0D=0A0 s= lj 0 slc=0D=0A 0.03600 0.03600 sc=0D=0A%=0D=0A% Fig objects follow= =0D=0A%=0D=0A% =0D=0A% here starts figure with depth 50=0D=0A% Polyli= ne=0D=0A7.500 slw=0D=0A [15 45] 45 sd=0D=0An 6000 1500 m=0D=0A 7500 1= 500 l gs col0 s gr [] 0 sd=0D=0A% Polyline=0D=0An 1200 2700 m 1500 2= 700 l 1500 2400 l=0D=0A 2400 2400 l gs col0 s gr =0D=0A% Polyline= =0D=0An 1800 2700 m 1800 1800 l=0D=0A 2400 1800 l gs col0 s gr =0D= =0A% Polyline=0D=0An 1500 2100 m=0D=0A 2400 2100 l gs col0 s gr =0D= =0A% Polyline=0D=0An 2100 2700 m=0D=0A 2100 1500 l gs col0 s gr =0D= =0A% Polyline=0D=0An 2400 1800 m=0D=0A 2400 1500 l gs col0 s gr =0D= =0A% Polyline=0D=0A30.000 slw=0D=0An 4500 3000 m 4500 2400 l 4800 240= 0 l 4800 1800 l 5100 1800 l 5100 1500 l=0D=0A=0D=0A 6000 1500 l gs co= l0 s gr =0D=0A% Polyline=0D=0An 6000 3000 m 6300 3000 l 6300 2700 l 7= 200 2700 l 7200 1800 l 7500 1800 l=0D=0A=0D=0A 7500 1500 l gs col0 s = gr =0D=0A% Polyline=0D=0A7.500 slw=0D=0A [15 45] 45 sd=0D=0An 4500 30= 00 m=0D=0A 6000 3000 l gs col0 s gr [] 0 sd=0D=0A% Polyline=0D=0A30.= 000 slw=0D=0An 1200 3000 m 1200 2400 l 1500 2400 l 1500 1800 l 1800 1= 800 l 1800 1500 l=0D=0A 2700 1500 l 2700 1800 l 2400 1800 l 2400 2700= l 1500 2700 l=0D=0A 1500 3000 l=0D=0A 1200 3000 l cp gs col0 s gr = =0D=0A% here ends figure;=0D=0A$F2psEnd=0D=0Ars=0D=0Ashowpage=0D=0A= --Boundary_(ID_CpbDIwjU034JquXF85welw) Content-type: application/postscript; name=planarbasis.eps Content-transfer-encoding: QUOTED-PRINTABLE Content-disposition: attachment; filename=planarbasis.eps %!PS-Adobe-2.0 EPSF-2.0=0D=0A%%Title: /Users/srecko/Desktop/ArticlesP= ortable/Chambery/planarbasis.fig=0D=0A%%Creator: fig2dev Version 3.2 = Patchlevel 4=0D=0A%%CreationDate: Sat Mar 12 04:50:35 2005=0D=0A%%For= : srecko@PortableG4.local (Srecko)=0D=0A%%BoundingBox: 0 0 329 151= =0D=0A%%Magnification: 0.6000=0D=0A%%EndComments=0D=0A/$F2psDict 200 = dict def=0D=0A$F2psDict begin=0D=0A$F2psDict /mtrx matrix put=0D=0A/c= ol-1 {0 setgray} bind def=0D=0A/col0 {0.000 0.000 0.000 srgb} bind de= f=0D=0A/col1 {0.000 0.000 1.000 srgb} bind def=0D=0A/col2 {0.000 1.00= 0 0.000 srgb} bind def=0D=0A/col3 {0.000 1.000 1.000 srgb} bind def= =0D=0A/col4 {1.000 0.000 0.000 srgb} bind def=0D=0A/col5 {1.000 0.000= 1.000 srgb} bind def=0D=0A/col6 {1.000 1.000 0.000 srgb} bind def= =0D=0A/col7 {1.000 1.000 1.000 srgb} bind def=0D=0A/col8 {0.000 0.000= 0.560 srgb} bind def=0D=0A/col9 {0.000 0.000 0.690 srgb} bind def= =0D=0A/col10 {0.000 0.000 0.820 srgb} bind def=0D=0A/col11 {0.530 0.8= 10 1.000 srgb} bind def=0D=0A/col12 {0.000 0.560 0.000 srgb} bind def= =0D=0A/col13 {0.000 0.690 0.000 srgb} bind def=0D=0A/col14 {0.000 0.8= 20 0.000 srgb} bind def=0D=0A/col15 {0.000 0.560 0.560 srgb} bind def= =0D=0A/col16 {0.000 0.690 0.690 srgb} bind def=0D=0A/col17 {0.000 0.8= 20 0.820 srgb} bind def=0D=0A/col18 {0.560 0.000 0.000 srgb} bind def= =0D=0A/col19 {0.690 0.000 0.000 srgb} bind def=0D=0A/col20 {0.820 0.0= 00 0.000 srgb} bind def=0D=0A/col21 {0.560 0.000 0.560 srgb} bind def= =0D=0A/col22 {0.690 0.000 0.690 srgb} bind def=0D=0A/col23 {0.820 0.0= 00 0.820 srgb} bind def=0D=0A/col24 {0.500 0.190 0.000 srgb} bind def= =0D=0A/col25 {0.630 0.250 0.000 srgb} bind def=0D=0A/col26 {0.750 0.3= 80 0.000 srgb} bind def=0D=0A/col27 {1.000 0.500 0.500 srgb} bind def= =0D=0A/col28 {1.000 0.630 0.630 srgb} bind def=0D=0A/col29 {1.000 0.7= 50 0.750 srgb} bind def=0D=0A/col30 {1.000 0.880 0.880 srgb} bind def= =0D=0A/col31 {1.000 0.840 0.000 srgb} bind def=0D=0A=0D=0Aend=0D=0Asa= ve=0D=0Anewpath 0 151 moveto 0 0 lineto 329 0 lineto 329 151 lineto c= losepath clip newpath=0D=0A-51.8 259.2 translate=0D=0A1 -1 scale=0D= =0A=0D=0A/cp {closepath} bind def=0D=0A/ef {eofill} bind def=0D=0A/gr= {grestore} bind def=0D=0A/gs {gsave} bind def=0D=0A/sa {save} bind d= ef=0D=0A/rs {restore} bind def=0D=0A/l {lineto} bind def=0D=0A/m {mov= eto} bind def=0D=0A/rm {rmoveto} bind def=0D=0A/n {newpath} bind def= =0D=0A/s {stroke} bind def=0D=0A/sh {show} bind def=0D=0A/slc {setlin= ecap} bind def=0D=0A/slj {setlinejoin} bind def=0D=0A/slw {setlinewid= th} bind def=0D=0A/srgb {setrgbcolor} bind def=0D=0A/rot {rotate} bin= d def=0D=0A/sc {scale} bind def=0D=0A/sd {setdash} bind def=0D=0A/ff = {findfont} bind def=0D=0A/sf {setfont} bind def=0D=0A/scf {scalefont}= bind def=0D=0A/sw {stringwidth} bind def=0D=0A/tr {translate} bind d= ef=0D=0A/tnt {dup dup currentrgbcolor=0D=0A 4 -2 roll dup 1 exch sub= 3 -1 roll mul add=0D=0A 4 -2 roll dup 1 exch sub 3 -1 roll mul add= =0D=0A 4 -2 roll dup 1 exch sub 3 -1 roll mul add srgb}=0D=0A bind = def=0D=0A/shd {dup dup currentrgbcolor 4 -2 roll mul 4 -2 roll mul= =0D=0A 4 -2 roll mul srgb} bind def=0D=0A /DrawEllipse {=0D=0A=09/en= dangle exch def=0D=0A=09/startangle exch def=0D=0A=09/yrad exch def= =0D=0A=09/xrad exch def=0D=0A=09/y exch def=0D=0A=09/x exch def=0D= =0A=09/savematrix mtrx currentmatrix def=0D=0A=09x y tr xrad yrad sc = 0 0 1 startangle endangle arc=0D=0A=09closepath=0D=0A=09savematrix se= tmatrix=0D=0A=09} def=0D=0A=0D=0A/$F2psBegin {$F2psDict begin /$F2psE= nteredState save def} def=0D=0A/$F2psEnd {$F2psEnteredState restore e= nd} def=0D=0A=0D=0A$F2psBegin=0D=0A10 setmiterlimit=0D=0A0 slj 0 slc= =0D=0A 0.03600 0.03600 sc=0D=0A%=0D=0A% Fig objects follow=0D=0A%= =0D=0A% =0D=0A% here starts figure with depth 50=0D=0A/Times-BoldItal= ic ff 270.00 scf sf=0D=0A9825 4725 m=0D=0Ags 1 -1 sc (Y) col0 sh gr= =0D=0A% Ellipse=0D=0A7.500 slw=0D=0An 4800 3300 54 54 0 360 DrawEllip= se gs 0.00 setgray ef gr gs col0 s gr=0D=0A=0D=0A% Ellipse=0D=0An 270= 0 6300 54 54 0 360 DrawEllipse gs 0.00 setgray ef gr gs col0 s gr= =0D=0A=0D=0A% Ellipse=0D=0An 1500 6300 54 54 0 360 DrawEllipse gs 0.0= 0 setgray ef gr gs col0 s gr=0D=0A=0D=0A% Ellipse=0D=0An 9300 4800 54= 54 0 360 DrawEllipse gs 0.00 setgray ef gr gs col0 s gr=0D=0A=0D= =0A% Ellipse=0D=0An 10500 4800 54 54 0 360 DrawEllipse gs 0.00 setgra= y ef gr gs col0 s gr=0D=0A=0D=0A% Ellipse=0D=0An 8400 6300 54 54 0 36= 0 DrawEllipse gs 0.00 setgray ef gr gs col0 s gr=0D=0A=0D=0A% Ellipse= =0D=0An 7200 6300 54 54 0 360 DrawEllipse gs 0.00 setgray ef gr gs co= l0 s gr=0D=0A=0D=0A% Polyline=0D=0An 1500 6000 m=0D=0A 2700 6000 l gs= col0 s gr =0D=0A% Polyline=0D=0An 1800 6300 m 1800 5700 l 2700 5700 = l=0D=0A 2700 5400 l gs col0 s gr =0D=0A% Polyline=0D=0An 2100 6300 m= =0D=0A 2100 5700 l gs col0 s gr =0D=0A% Polyline=0D=0An 2400 6300 m= =0D=0A 2400 5400 l gs col0 s gr =0D=0A% Polyline=0D=0An 3000 5700 m 3= 000 5400 l 3300 5400 l 3300 4500 l 4200 4500 l=0D=0A 4200 3600 l gs c= ol0 s gr =0D=0A% Polyline=0D=0An 3600 5400 m=0D=0A 3600 4200 l gs col= 0 s gr =0D=0A% Polyline=0D=0An 3900 5400 m=0D=0A 3900 4200 l gs col0 = s gr =0D=0A% Polyline=0D=0An 3000 5100 m=0D=0A 4200 5100 l gs col0 s = gr =0D=0A% Polyline=0D=0An 3000 4800 m=0D=0A 4200 4800 l gs col0 s gr= =0D=0A% Polyline=0D=0An 3900 4200 m 4500 4200 l=0D=0A 4500 3600 l gs= col0 s gr =0D=0A% Polyline=0D=0An 3900 3900 m=0D=0A 5100 3900 l gs c= ol0 s gr =0D=0A% Polyline=0D=0An 4800 4200 m 4800 3600 l 5100 3600 l= =0D=0A 5100 3300 l gs col0 s gr =0D=0A% Polyline=0D=0An 5400 3600 m= =0D=0A 5400 3300 l gs col0 s gr =0D=0A% Polyline=0D=0An 5700 3600 m= =0D=0A 5700 3300 l gs col0 s gr =0D=0A% Polyline=0D=0An 7500 6300 m= =0D=0A 7500 6000 l gs col0 s gr =0D=0A% Polyline=0D=0An 7500 6000 m 8= 400 6000 l=0D=0A 8400 5400 l gs col0 s gr =0D=0A% Polyline=0D=0An 780= 0 6300 m=0D=0A 7800 5400 l gs col0 s gr =0D=0A% Polyline=0D=0An 8100 = 6300 m=0D=0A 8100 5400 l gs col0 s gr =0D=0A% Polyline=0D=0An 7500 57= 00 m=0D=0A 8700 5700 l gs col0 s gr =0D=0A% Polyline=0D=0An 9300 5100= m=0D=0A 10200 5100 l gs col0 s gr =0D=0A% Polyline=0D=0An 9300 5400 = m=0D=0A 9300 5100 l gs col0 s gr =0D=0A% Polyline=0D=0An 9600 5400 m= =0D=0A 9600 4800 l gs col0 s gr =0D=0A% Polyline=0D=0An 9900 5400 m= =0D=0A 9900 4800 l gs col0 s gr =0D=0A% Polyline=0D=0An 10200 5100 m= =0D=0A 10200 4800 l gs col0 s gr =0D=0A% Polyline=0D=0A30.000 slw= =0D=0An 7200 6300 m 8400 6300 l 8400 6000 l 8700 6000 l 8700 5400 l 1= 0200 5400 l=0D=0A 10200 5100 l 10500 5100 l 10500 4800 l 9300 4800 l = 9300 5100 l=0D=0A 9000 5100 l 9000 5400 l 7500 5400 l 7500 5700 l 750= 0 6000 l=0D=0A 7200 6000 l=0D=0A 7200 6300 l cp gs col0 s gr =0D= =0A% Polyline=0D=0An 1500 6300 m 2700 6300 l 2700 5700 l 3300 5700 l = 3300 5400 l 4200 5400 l=0D=0A 4200 4500 l 4500 4500 l 4500 4200 l 510= 0 4200 l 5100 3600 l=0D=0A 6000 3600 l 6000 3300 l 4800 3300 l 4800 3= 600 l 3900 3600 l=0D=0A 3900 4200 l 3300 4200 l 3300 4500 l 3000 4500= l 3000 5400 l=0D=0A 2100 5400 l 2100 5700 l 1500 5700 l=0D=0A 1500 6= 300 l cp gs col0 s gr =0D=0A/Times-Roman ff 270.00 scf sf=0D=0A1875 = 7125 m=0D=0Ags 1 -1 sc (\(a\)) col0 sh gr=0D=0A/Times-Roman ff 270.00= scf sf=0D=0A7800 7125 m=0D=0Ags 1 -1 sc (\(b\)) col0 sh gr=0D=0A/Tim= es-BoldItalic ff 270.00 scf sf=0D=0A2025 6600 m=0D=0Ags 1 -1 sc (Y) c= ol0 sh gr=0D=0A/Times-BoldItalic ff 270.00 scf sf=0D=0A4350 5100 m= =0D=0Ags 1 -1 sc (X) col0 sh gr=0D=0A/Times-BoldItalic ff 270.00 scf = sf=0D=0A2625 5100 m=0D=0Ags 1 -1 sc (X) col0 sh gr=0D=0A/Times-BoldIt= alic ff 270.00 scf sf=0D=0A5325 3225 m=0D=0Ags 1 -1 sc (Y) col0 sh gr= =0D=0A/Times-BoldItalic ff 270.00 scf sf=0D=0A7725 6600 m=0D=0Ags 1 -= 1 sc (Y) col0 sh gr=0D=0A/Times-BoldItalic ff 270.00 scf sf=0D=0A9450= 5700 m=0D=0Ags 1 -1 sc (X) col0 sh gr=0D=0A/Times-BoldItalic ff 270.= 00 scf sf=0D=0A8100 5325 m=0D=0Ags 1 -1 sc (X) col0 sh gr=0D=0A% Elli= pse=0D=0A7.500 slw=0D=0An 6000 3300 54 54 0 360 DrawEllipse gs 0.00 s= etgray ef gr gs col0 s gr=0D=0A=0D=0A% here ends figure;=0D=0A$F2psEn= d=0D=0Ars=0D=0Ashowpage=0D=0A= --Boundary_(ID_CpbDIwjU034JquXF85welw) Content-type: application/postscript; name=ps3.eps Content-transfer-encoding: QUOTED-PRINTABLE Content-disposition: attachment; filename=ps3.eps %!PS-Adobe-2.0 EPSF-2.0=0A%%Title: C:\DOCUME~1\Andrea\IMPOST~1\Temp\j= fig-tmp37109.fig=0A%%Creator: /cygdrive/c/windows/jfig/fig2dev Versio= n 3.2 Patchlevel 3d=0A%%CreationDate: Wed Jan 11 08:56:26 2006=0A%%Fo= r: Andrea@MISTERO ()=0A%%BoundingBox: 0 0 460 206=0A%%Magnification: = 0.4000=0A%%EndComments=0A/$F2psDict 200 dict def=0A$F2psDict begin= =0A$F2psDict /mtrx matrix put=0A/col-1 {0 setgray} bind def=0A/col0 {= 0.000 0.000 0.000 srgb} bind def=0A/col1 {0.000 0.000 1.000 srgb} bin= d def=0A/col2 {0.000 1.000 0.000 srgb} bind def=0A/col3 {0.000 1.000 = 1.000 srgb} bind def=0A/col4 {1.000 0.000 0.000 srgb} bind def=0A/col= 5 {1.000 0.000 1.000 srgb} bind def=0A/col6 {1.000 1.000 0.000 srgb} = bind def=0A/col7 {1.000 1.000 1.000 srgb} bind def=0A/col8 {0.000 0.0= 00 0.560 srgb} bind def=0A/col9 {0.000 0.000 0.690 srgb} bind def= =0A/col10 {0.000 0.000 0.820 srgb} bind def=0A/col11 {0.530 0.810 1.0= 00 srgb} bind def=0A/col12 {0.000 0.560 0.000 srgb} bind def=0A/col13= {0.000 0.690 0.000 srgb} bind def=0A/col14 {0.000 0.820 0.000 srgb} = bind def=0A/col15 {0.000 0.560 0.560 srgb} bind def=0A/col16 {0.000 0= .690 0.690 srgb} bind def=0A/col17 {0.000 0.820 0.820 srgb} bind def= =0A/col18 {0.560 0.000 0.000 srgb} bind def=0A/col19 {0.690 0.000 0.0= 00 srgb} bind def=0A/col20 {0.820 0.000 0.000 srgb} bind def=0A/col21= {0.560 0.000 0.560 srgb} bind def=0A/col22 {0.690 0.000 0.690 srgb} = bind def=0A/col23 {0.820 0.000 0.820 srgb} bind def=0A/col24 {0.500 0= .190 0.000 srgb} bind def=0A/col25 {0.630 0.250 0.000 srgb} bind def= =0A/col26 {0.750 0.380 0.000 srgb} bind def=0A/col27 {1.000 0.500 0.5= 00 srgb} bind def=0A/col28 {1.000 0.630 0.630 srgb} bind def=0A/col29= {1.000 0.750 0.750 srgb} bind def=0A/col30 {1.000 0.880 0.880 srgb} = bind def=0A/col31 {1.000 0.840 0.000 srgb} bind def=0A=0Aend=0Asave= =0Anewpath 0 206 moveto 0 0 lineto 460 0 lineto 460 206 lineto closep= ath clip newpath=0A5.4 181.9 translate=0A1 -1 scale=0A=0A/cp {closepa= th} bind def=0A/ef {eofill} bind def=0A/gr {grestore} bind def=0A/gs = {gsave} bind def=0A/sa {save} bind def=0A/rs {restore} bind def=0A/l = {lineto} bind def=0A/m {moveto} bind def=0A/rm {rmoveto} bind def= =0A/n {newpath} bind def=0A/s {stroke} bind def=0A/sh {show} bind def= =0A/slc {setlinecap} bind def=0A/slj {setlinejoin} bind def=0A/slw {s= etlinewidth} bind def=0A/srgb {setrgbcolor} bind def=0A/rot {rotate} = bind def=0A/sc {scale} bind def=0A/sd {setdash} bind def=0A/ff {findf= ont} bind def=0A/sf {setfont} bind def=0A/scf {scalefont} bind def= =0A/sw {stringwidth} bind def=0A/tr {translate} bind def=0A/tnt {dup = dup currentrgbcolor=0A 4 -2 roll dup 1 exch sub 3 -1 roll mul add= =0A 4 -2 roll dup 1 exch sub 3 -1 roll mul add=0A 4 -2 roll dup 1 e= xch sub 3 -1 roll mul add srgb}=0A bind def=0A/shd {dup dup currentr= gbcolor 4 -2 roll mul 4 -2 roll mul=0A 4 -2 roll mul srgb} bind def= =0A/$F2psBegin {$F2psDict begin /$F2psEnteredState save def} def=0A/$= F2psEnd {$F2psEnteredState restore end} def=0A=0A$F2psBegin=0A10 setm= iterlimit=0A 0.02400 0.02400 sc=0A%=0A% Fig objects follow=0A%=0A/Tim= es-Roman ff 450.00 scf sf=0A-225 5400 m=0Ags 1 -1 sc (1 1 1 1 1) col0= sh gr=0A/Times-Italic ff 360.00 scf sf=0A11025 7425 m=0Ags 1 -1 sc (= 5,3) col0 sh gr=0A/ZapfChancery-MediumItalic ff 540.00 scf sf=0A10349= -225 m=0Ags 1 -1 sc (PSP) col0 sh gr=0A/Times-Italic ff 360.00 scf s= f=0A11249 -112 m=0Ags 1 -1 sc (5,3) col0 sh gr=0A% Polyline=0A2 slj= =0A30.000 slw=0An 13050 675 m 13048 673 l 13043 669 l 13034 662 l 130= 21 651 l 13004 636 l=0A 12981 618 l 12955 597 l 12926 575 l 12894 551= l 12861 528 l=0A 12828 505 l 12795 483 l 12762 463 l 12730 446 l 126= 99 430 l=0A 12668 416 l 12638 405 l 12608 395 l 12578 388 l 12547 382= l=0A 12516 378 l 12484 376 l 12450 375 l 12422 375 l 12393 377 l= =0A 12363 379 l 12332 382 l 12300 385 l 12267 390 l 12232 395 l=0A 12= 197 400 l 12161 406 l 12123 413 l 12086 420 l 12047 427 l=0A 12008 43= 4 l 11969 442 l 11930 450 l 11891 458 l 11853 466 l=0A 11814 473 l 11= 777 480 l 11740 487 l 11704 494 l 11670 500 l=0A 11636 505 l 11604 51= 0 l 11573 515 l 11543 518 l 11515 521 l=0A 11488 523 l 11462 525 l 11= 438 525 l 11408 524 l 11381 522 l=0A 11355 518 l 11330 512 l 11307 50= 5 l 11284 495 l 11262 484 l=0A 11240 470 l 11219 454 l 11197 437 l 11= 176 417 l 11155 395 l=0A 11135 372 l 11115 349 l 11096 325 l 11079 30= 3 l 11064 282 l=0A 11051 264 l 11041 249 l 11034 238 l 11029 231 l 11= 026 227 l=0A=0A 11025 225 l gs col0 s gr =0A% Polyline=0An 9000 675 m= 9002 673 l 9007 669 l 9016 662 l 9029 651 l 9046 636 l=0A 9069 618 l= 9095 597 l 9124 575 l 9156 551 l 9189 528 l=0A 9222 505 l 9255 483 l= 9288 463 l 9320 446 l 9351 430 l=0A 9382 416 l 9412 405 l 9442 395 l= 9472 388 l 9503 382 l=0A 9534 378 l 9566 376 l 9600 375 l 9626 375 l= 9653 377 l=0A 9681 378 l 9710 381 l 9740 384 l 9771 388 l 9803 392 l= =0A 9835 397 l 9869 403 l 9903 409 l 9938 415 l 9974 421 l=0A 10010 4= 28 l 10047 435 l 10083 443 l 10120 450 l 10156 457 l=0A 10193 465 l 1= 0228 472 l 10264 479 l 10298 485 l 10332 491 l=0A 10365 497 l 10397 5= 03 l 10428 508 l 10458 512 l 10486 516 l=0A 10514 519 l 10540 522 l 1= 0565 523 l 10589 525 l 10613 525 l=0A 10642 524 l 10669 522 l 10695 5= 18 l 10720 512 l 10743 505 l=0A 10766 495 l 10788 484 l 10810 470 l 1= 0831 454 l 10853 437 l=0A 10874 417 l 10895 395 l 10915 372 l 10935 3= 49 l 10954 325 l=0A 10971 303 l 10986 282 l 10999 264 l 11009 249 l 1= 1016 238 l=0A 11021 231 l 11024 227 l=0A 11025 225 l gs col0 s gr = =0A% Polyline=0An 9000 5850 m 9002 5852 l 9007 5856 l 9016 5863 l 902= 9 5874 l 9046 5889 l=0A 9069 5907 l 9095 5928 l 9124 5950 l 9156 5974= l 9189 5997 l=0A 9222 6020 l 9255 6042 l 9288 6062 l 9320 6079 l 935= 1 6095 l=0A 9382 6109 l 9412 6120 l 9442 6130 l 9472 6137 l 9503 6143= l=0A 9534 6147 l 9566 6149 l 9600 6150 l 9626 6150 l 9653 6148 l= =0A 9681 6147 l 9710 6144 l 9740 6141 l 9771 6137 l 9803 6133 l=0A 98= 35 6128 l 9869 6122 l 9903 6116 l 9938 6110 l 9974 6104 l=0A 10010 60= 97 l 10047 6090 l 10083 6082 l 10120 6075 l 10156 6068 l=0A 10193 606= 0 l 10228 6053 l 10264 6046 l 10298 6040 l 10332 6034 l=0A 10365 6028= l 10397 6022 l 10428 6017 l 10458 6013 l 10486 6009 l=0A 10514 6006 = l 10540 6003 l 10565 6002 l 10589 6000 l 10613 6000 l=0A 10642 6001 l= 10669 6003 l 10695 6007 l 10720 6013 l 10743 6020 l=0A 10766 6030 l = 10788 6041 l 10810 6055 l 10831 6071 l 10853 6088 l=0A 10874 6108 l 1= 0895 6130 l 10915 6153 l 10935 6176 l 10954 6200 l=0A 10971 6222 l 10= 986 6243 l 10999 6261 l 11009 6276 l 11016 6287 l=0A 11021 6294 l 110= 24 6298 l=0A 11025 6300 l gs col0 s gr =0A% Polyline=0An 13050 5850 m= 13048 5852 l 13043 5856 l 13034 5863 l 13021 5874 l 13004 5889 l= =0A 12981 5907 l 12955 5928 l 12926 5950 l 12894 5974 l 12861 5997 l= =0A 12828 6020 l 12795 6042 l 12762 6062 l 12730 6079 l 12699 6095 l= =0A 12668 6109 l 12638 6120 l 12608 6130 l 12578 6137 l 12547 6143 l= =0A 12516 6147 l 12484 6149 l 12450 6150 l 12422 6150 l 12393 6148 l= =0A 12363 6146 l 12332 6143 l 12300 6140 l 12267 6135 l 12232 6130 l= =0A 12197 6125 l 12161 6119 l 12123 6112 l 12086 6105 l 12047 6098 l= =0A 12008 6091 l 11969 6083 l 11930 6075 l 11891 6067 l 11853 6059 l= =0A 11814 6052 l 11777 6045 l 11740 6038 l 11704 6031 l 11670 6025 l= =0A 11636 6020 l 11604 6015 l 11573 6010 l 11543 6007 l 11515 6004 l= =0A 11488 6002 l 11462 6000 l 11438 6000 l 11408 6001 l 11381 6003 l= =0A 11355 6007 l 11330 6013 l 11307 6020 l 11284 6030 l 11262 6041 l= =0A 11240 6055 l 11219 6071 l 11197 6088 l 11176 6108 l 11155 6130 l= =0A 11135 6153 l 11115 6176 l 11096 6200 l 11079 6222 l 11064 6243 l= =0A 11051 6261 l 11041 6276 l 11034 6287 l 11029 6294 l 11026 6298 l= =0A=0A 11025 6300 l gs col0 s gr =0A% Polyline=0An 8100 675 m 8098 67= 4 l 8094 672 l 8087 669 l 8075 664 l 8059 657 l=0A 8037 647 l 8011 63= 6 l 7980 623 l 7944 608 l 7905 592 l=0A 7863 575 l 7819 557 l 7774 53= 9 l 7728 522 l 7682 505 l=0A 7636 488 l 7592 473 l 7548 459 l 7506 44= 6 l 7464 434 l=0A 7424 423 l 7385 413 l 7347 405 l 7310 397 l 7273 39= 1 l=0A 7236 386 l 7200 382 l 7163 379 l 7126 377 l 7088 375 l=0A 7050= 375 l 7015 375 l 6980 376 l 6944 378 l 6907 380 l=0A 6869 382 l 6830= 385 l 6791 389 l 6750 393 l 6709 397 l=0A 6667 402 l 6624 407 l 6581= 413 l 6538 418 l 6493 424 l=0A 6449 431 l 6405 437 l 6360 443 l 6316= 450 l 6271 457 l=0A 6228 463 l 6185 469 l 6142 476 l 6100 482 l 6060= 487 l=0A 6020 493 l 5981 498 l 5944 503 l 5907 507 l 5872 511 l=0A 5= 839 515 l 5806 518 l 5775 520 l 5745 522 l 5716 524 l=0A 5689 525 l 5= 663 525 l 5625 524 l 5590 522 l 5557 518 l=0A 5526 512 l 5497 505 l 5= 469 495 l 5443 484 l 5417 470 l=0A 5391 454 l 5367 437 l 5342 417 l 5= 318 395 l 5295 372 l=0A 5273 349 l 5252 325 l 5233 303 l 5217 282 l 5= 203 264 l=0A 5192 249 l 5184 238 l 5179 231 l 5176 227 l=0A 5175 225 = l gs col0 s gr =0A% Polyline=0An 2250 675 m 2252 674 l 2256 672 l 226= 3 669 l 2275 664 l 2291 657 l=0A 2313 647 l 2339 636 l 2370 623 l 240= 6 608 l 2445 592 l=0A 2487 575 l 2531 557 l 2576 539 l 2622 522 l 266= 8 505 l=0A 2714 488 l 2758 473 l 2802 459 l 2844 446 l 2886 434 l= =0A 2926 423 l 2965 413 l 3003 405 l 3040 397 l 3077 391 l=0A 3114 38= 6 l 3150 382 l 3187 379 l 3224 377 l 3262 375 l=0A 3300 375 l 3335 37= 5 l 3370 376 l 3406 378 l 3443 380 l=0A 3481 382 l 3520 385 l 3559 38= 9 l 3600 393 l 3641 397 l=0A 3683 402 l 3726 407 l 3769 413 l 3812 41= 8 l 3857 424 l=0A 3901 431 l 3945 437 l 3990 443 l 4034 450 l 4079 45= 7 l=0A 4122 463 l 4165 469 l 4208 476 l 4250 482 l 4290 487 l=0A 4330= 493 l 4369 498 l 4406 503 l 4443 507 l 4478 511 l=0A 4511 515 l 4544= 518 l 4575 520 l 4605 522 l 4634 524 l=0A 4661 525 l 4688 525 l 4725= 524 l 4760 522 l 4793 518 l=0A 4824 512 l 4853 505 l 4881 495 l 4907= 484 l 4933 470 l=0A 4959 454 l 4983 437 l 5008 417 l 5032 395 l 5055= 372 l=0A 5077 349 l 5098 325 l 5117 303 l 5133 282 l 5147 264 l=0A 5= 158 249 l 5166 238 l 5171 231 l 5174 227 l=0A 5175 225 l gs col0 s gr= =0A% Polyline=0An 2250 5962 m 2252 5963 l 2256 5965 l 2263 5968 l 22= 75 5973 l 2291 5980 l=0A 2313 5990 l 2339 6001 l 2370 6014 l 2406 602= 9 l 2445 6045 l=0A 2487 6062 l 2531 6080 l 2576 6098 l 2622 6115 l 26= 68 6132 l=0A 2714 6149 l 2758 6164 l 2802 6178 l 2844 6191 l 2886 620= 3 l=0A 2926 6214 l 2965 6224 l 3003 6232 l 3040 6240 l 3077 6246 l= =0A 3114 6251 l 3150 6255 l 3187 6258 l 3224 6260 l 3262 6262 l=0A 33= 00 6262 l 3335 6262 l 3370 6261 l 3406 6259 l 3443 6257 l=0A 3481 625= 5 l 3520 6252 l 3559 6248 l 3600 6244 l 3641 6240 l=0A 3683 6235 l 37= 26 6230 l 3769 6224 l 3812 6219 l 3857 6213 l=0A 3901 6206 l 3945 620= 0 l 3990 6194 l 4034 6187 l 4079 6180 l=0A 4122 6174 l 4165 6168 l 42= 08 6161 l 4250 6155 l 4290 6150 l=0A 4330 6144 l 4369 6139 l 4406 613= 4 l 4443 6130 l 4478 6126 l=0A 4511 6122 l 4544 6119 l 4575 6117 l 46= 05 6115 l 4634 6113 l=0A 4661 6112 l 4688 6112 l 4725 6113 l 4760 611= 5 l 4793 6119 l=0A 4824 6125 l 4853 6132 l 4881 6142 l 4907 6153 l 49= 33 6167 l=0A 4959 6183 l 4983 6200 l 5008 6220 l 5032 6242 l 5055 626= 5 l=0A 5077 6288 l 5098 6312 l 5117 6334 l 5133 6355 l 5147 6373 l= =0A 5158 6388 l 5166 6399 l 5171 6406 l 5174 6410 l=0A 5175 6412 l gs= col0 s gr =0A% Polyline=0An 8100 5962 m 8098 5963 l 8094 5965 l 8087= 5968 l 8075 5973 l 8059 5980 l=0A 8037 5990 l 8011 6001 l 7980 6014 = l 7944 6029 l 7905 6045 l=0A 7863 6062 l 7819 6080 l 7774 6098 l 7728= 6115 l 7682 6132 l=0A 7636 6149 l 7592 6164 l 7548 6178 l 7506 6191 = l 7464 6203 l=0A 7424 6214 l 7385 6224 l 7347 6232 l 7310 6240 l 7273= 6246 l=0A 7236 6251 l 7200 6255 l 7163 6258 l 7126 6260 l 7088 6262 = l=0A 7050 6262 l 7015 6262 l 6980 6261 l 6944 6259 l 6907 6257 l=0A 6= 869 6255 l 6830 6252 l 6791 6248 l 6750 6244 l 6709 6240 l=0A 6667 62= 35 l 6624 6230 l 6581 6224 l 6538 6219 l 6493 6213 l=0A 6449 6206 l 6= 405 6200 l 6360 6194 l 6316 6187 l 6271 6180 l=0A 6228 6174 l 6185 61= 68 l 6142 6161 l 6100 6155 l 6060 6150 l=0A 6020 6144 l 5981 6139 l 5= 944 6134 l 5907 6130 l 5872 6126 l=0A 5839 6122 l 5806 6119 l 5775 61= 17 l 5745 6115 l 5716 6113 l=0A 5689 6112 l 5663 6112 l 5625 6113 l 5= 590 6115 l 5557 6119 l=0A 5526 6125 l 5497 6132 l 5469 6142 l 5443 61= 53 l 5417 6167 l=0A 5391 6183 l 5367 6200 l 5342 6220 l 5318 6242 l 5= 295 6265 l=0A 5273 6288 l 5252 6312 l 5233 6334 l 5217 6355 l 5203 63= 73 l=0A 5192 6388 l 5184 6399 l 5179 6406 l 5176 6410 l=0A 5175 6412 = l gs col0 s gr =0A% Polyline=0A0 slj=0A7.500 slw=0An 9000 1800 m 9450= 1800 l 9450 2250 l 9000 2250 l=0A cp gs col0 s gr =0A% Polyline=0An = 9900 2700 m 10350 2700 l 10350 3150 l 9900 3150 l=0A cp gs col0 s gr = =0A% Polyline=0An 9900 2250 m 10350 2250 l 10350 2700 l 9900 2700 l= =0A cp gs col0 s gr =0A% Polyline=0A [96] 0 sd=0Ags clippath=0A9627 = 4515 m 9723 4515 l 9723 4395 l 9675 4491 l 9627 4395 l cp=0A9723 3585= m 9627 3585 l 9627 3705 l 9675 3609 l 9723 3705 l cp=0Aeoclip=0An 96= 75 3600 m=0A 9675 4500 l gs col0 s gr gr=0A [] 0 sd=0A% arrowhead= =0An 9723 3705 m 9675 3609 l 9627 3705 l col0 s=0A% arrowhead=0An 96= 27 4395 m 9675 4491 l 9723 4395 l col0 s=0A% Polyline=0An 9000 2250 = m 9450 2250 l 9450 2700 l 9000 2700 l=0A cp gs col0 s gr =0A% Polylin= e=0An 9900 1800 m 10350 1800 l 10350 2250 l 9900 2250 l=0A cp gs col0= s gr =0A% Polyline=0An 9450 1800 m 9900 1800 l 9900 2250 l 9450 2250= l=0A cp gs col0 s gr =0A% Polyline=0An 9450 2250 m 9900 2250 l 9900 = 2700 l 9450 2700 l=0A cp gs col0 s gr =0A% Polyline=0An 9450 2700 m 9= 900 2700 l 9900 3150 l 9450 3150 l=0A cp gs col0 s gr =0A% Polyline= =0An 9000 2700 m 9450 2700 l 9450 3150 l 9000 3150 l=0A cp gs col0 s = gr =0A% Polyline=0An 6750 2700 m 7200 2700 l 7200 3150 l 6750 3150 l= =0A cp gs col0 s gr =0A% Polyline=0An 7200 2700 m 7650 2700 l 7650 31= 50 l 7200 3150 l=0A cp gs col0 s gr =0A% Polyline=0An 7200 2250 m 765= 0 2250 l 7650 2700 l 7200 2700 l=0A cp gs col0 s gr =0A% Polyline= =0An 7200 1800 m 7650 1800 l 7650 2250 l 7200 2250 l=0A cp gs col0 s = gr =0A% Polyline=0An 7650 1800 m 8100 1800 l 8100 2250 l 7650 2250 l= =0A cp gs col0 s gr =0A% Polyline=0An 6750 2250 m 7200 2250 l 7200 27= 00 l 6750 2700 l=0A cp gs col0 s gr =0A% Polyline=0A [96] 0 sd=0Ags = clippath=0A7377 4515 m 7473 4515 l 7473 4395 l 7425 4491 l 7377 4395 = l cp=0A7473 3585 m 7377 3585 l 7377 3705 l 7425 3609 l 7473 3705 l cp= =0Aeoclip=0An 7425 3600 m=0A 7425 4500 l gs col0 s gr gr=0A [] 0 sd= =0A% arrowhead=0An 7473 3705 m 7425 3609 l 7377 3705 l col0 s=0A% ar= rowhead=0An 7377 4395 m 7425 4491 l 7473 4395 l col0 s=0A% Polyline= =0An 16650 2700 m 17100 2700 l 17100 3150 l 16650 3150 l=0A cp gs col= 0 s gr =0A% Polyline=0An 17100 2700 m 17550 2700 l 17550 3150 l 17100= 3150 l=0A cp gs col0 s gr =0A% Polyline=0An 18000 2700 m 18450 2700 = l 18450 3150 l 18000 3150 l=0A cp gs col0 s gr =0A% Polyline=0A [96] = 0 sd=0Ags clippath=0A17727 4515 m 17823 4515 l 17823 4395 l 17775 44= 91 l 17727 4395 l cp=0A17823 3585 m 17727 3585 l 17727 3705 l 17775 3= 609 l 17823 3705 l cp=0Aeoclip=0An 17775 3600 m=0A 17775 4500 l gs co= l0 s gr gr=0A [] 0 sd=0A% arrowhead=0An 17823 3705 m 17775 3609 l 177= 27 3705 l col0 s=0A% arrowhead=0An 17727 4395 m 17775 4491 l 17823 4= 395 l col0 s=0A% Polyline=0An 18450 2700 m 18900 2700 l 18900 3150 l= 18450 3150 l=0A cp gs col0 s gr =0A% Polyline=0An 17550 2700 m 18000= 2700 l 18000 3150 l 17550 3150 l=0A cp gs col0 s gr =0A% Polyline= =0An 11250 2700 m 11700 2700 l 11700 3150 l 11250 3150 l=0A cp gs col= 0 s gr =0A% Polyline=0An 11700 2700 m 12150 2700 l 12150 3150 l 11700= 3150 l=0A cp gs col0 s gr =0A% Polyline=0An 11700 2250 m 12150 2250 = l 12150 2700 l 11700 2700 l=0A cp gs col0 s gr =0A% Polyline=0An 1260= 0 2250 m 13050 2250 l 13050 2700 l 12600 2700 l=0A cp gs col0 s gr = =0A% Polyline=0A [96] 0 sd=0Ags clippath=0A12102 4515 m 12198 4515 l= 12198 4395 l 12150 4491 l 12102 4395 l cp=0A12198 3585 m 12102 3585 = l 12102 3705 l 12150 3609 l 12198 3705 l cp=0Aeoclip=0An 12150 3600 m= =0A 12150 4500 l gs col0 s gr gr=0A [] 0 sd=0A% arrowhead=0An 12198 3= 705 m 12150 3609 l 12102 3705 l col0 s=0A% arrowhead=0An 12102 4395 = m 12150 4491 l 12198 4395 l col0 s=0A% Polyline=0An 12150 2250 m 126= 00 2250 l 12600 2700 l 12150 2700 l=0A cp gs col0 s gr =0A% Polyline= =0An 12150 2700 m 12600 2700 l 12600 3150 l 12150 3150 l=0A cp gs col= 0 s gr =0A% Polyline=0An 15300 2700 m 15750 2700 l 15750 3150 l 15300= 3150 l=0A cp gs col0 s gr =0A% Polyline=0An 13950 2250 m 14400 2250 = l 14400 2700 l 13950 2700 l=0A cp gs col0 s gr =0A% Polyline=0An 1485= 0 2700 m 15300 2700 l 15300 3150 l 14850 3150 l=0A cp gs col0 s gr = =0A% Polyline=0An 14850 2250 m 15300 2250 l 15300 2700 l 14850 2700 l= =0A cp gs col0 s gr =0A% Polyline=0A [96] 0 sd=0Ags clippath=0A14802= 4515 m 14898 4515 l 14898 4395 l 14850 4491 l 14802 4395 l cp=0A1489= 8 3585 m 14802 3585 l 14802 3705 l 14850 3609 l 14898 3705 l cp=0Aeoc= lip=0An 14850 3600 m=0A 14850 4500 l gs col0 s gr gr=0A [] 0 sd=0A% a= rrowhead=0An 14898 3705 m 14850 3609 l 14802 3705 l col0 s=0A% arrow= head=0An 14802 4395 m 14850 4491 l 14898 4395 l col0 s=0A% Polyline= =0An 15300 2250 m 15750 2250 l 15750 2700 l 15300 2700 l=0A cp gs col= 0 s gr =0A% Polyline=0An 14400 2250 m 14850 2250 l 14850 2700 l 14400= 2700 l=0A cp gs col0 s gr =0A% Polyline=0An 14400 2700 m 14850 2700 = l 14850 3150 l 14400 3150 l=0A cp gs col0 s gr =0A% Polyline=0An 1395= 0 2700 m 14400 2700 l 14400 3150 l 13950 3150 l=0A cp gs col0 s gr = =0A% Polyline=0An 2700 1350 m 3150 1350 l 3150 1800 l 2700 1800 l= =0A cp gs col0 s gr =0A% Polyline=0An 2250 1350 m 2700 1350 l 2700 18= 00 l 2250 1800 l=0A cp gs col0 s gr =0A% Polyline=0An 5400 2250 m 585= 0 2250 l 5850 2700 l 5400 2700 l=0A cp gs col0 s gr =0A% Polyline= =0An 5400 1800 m 5850 1800 l 5850 2250 l 5400 2250 l=0A cp gs col0 s = gr =0A% Polyline=0An 4950 1800 m 5400 1800 l 5400 2250 l 4950 2250 l= =0A cp gs col0 s gr =0A% Polyline=0An 4950 2250 m 5400 2250 l 5400 27= 00 l 4950 2700 l=0A cp gs col0 s gr =0A% Polyline=0An 4950 2700 m 540= 0 2700 l 5400 3150 l 4950 3150 l=0A cp gs col0 s gr =0A% Polyline= =0An 4500 2700 m 4950 2700 l 4950 3150 l 4500 3150 l=0A cp gs col0 s = gr =0A% Polyline=0A [96] 0 sd=0Ags clippath=0A5127 4515 m 5223 4515 = l 5223 4395 l 5175 4491 l 5127 4395 l cp=0A5223 3585 m 5127 3585 l 51= 27 3705 l 5175 3609 l 5223 3705 l cp=0Aeoclip=0An 5175 3600 m=0A 5175= 4500 l gs col0 s gr gr=0A [] 0 sd=0A% arrowhead=0An 5223 3705 m 5175= 3609 l 5127 3705 l col0 s=0A% arrowhead=0An 5127 4395 m 5175 4491 l= 5223 4395 l col0 s=0A% Polyline=0An 2250 2700 m 2700 2700 l 2700 31= 50 l 2250 3150 l=0A cp gs col0 s gr =0A% Polyline=0An 2700 2700 m 315= 0 2700 l 3150 3150 l 2700 3150 l=0A cp gs col0 s gr =0A% Polyline= =0An 2700 2250 m 3150 2250 l 3150 2700 l 2700 2700 l=0A cp gs col0 s = gr =0A% Polyline=0An 2700 1800 m 3150 1800 l 3150 2250 l 2700 2250 l= =0A cp gs col0 s gr =0A% Polyline=0An 2250 1800 m 2700 1800 l 2700 22= 50 l 2250 2250 l=0A cp gs col0 s gr =0A% Polyline=0An 2250 2250 m 270= 0 2250 l 2700 2700 l 2250 2700 l=0A cp gs col0 s gr =0A% Polyline= =0A [96] 0 sd=0Ags clippath=0A2877 4515 m 2973 4515 l 2973 4395 l 29= 25 4491 l 2877 4395 l cp=0A2973 3585 m 2877 3585 l 2877 3705 l 2925 3= 609 l 2973 3705 l cp=0Aeoclip=0An 2925 3600 m=0A 2925 4500 l gs col0 = s gr gr=0A [] 0 sd=0A% arrowhead=0An 2973 3705 m 2925 3609 l 2877 370= 5 l col0 s=0A% arrowhead=0An 2877 4395 m 2925 4491 l 2973 4395 l co= l0 s=0A% Polyline=0A [96] 0 sd=0Ags clippath=0A627 4515 m 723 4515 l= 723 4395 l 675 4491 l 627 4395 l cp=0A723 3585 m 627 3585 l 627 3705= l 675 3609 l 723 3705 l cp=0Aeoclip=0An 675 3600 m=0A 675 4500 l gs = col0 s gr gr=0A [] 0 sd=0A% arrowhead=0An 723 3705 m 675 3609 l 627 3= 705 l col0 s=0A% arrowhead=0An 627 4395 m 675 4491 l 723 4395 l col= 0 s=0A% Polyline=0An 450 2700 m 900 2700 l 900 3150 l 450 3150 l=0A c= p gs col0 s gr =0A% Polyline=0An 450 2250 m 900 2250 l 900 2700 l 450= 2700 l=0A cp gs col0 s gr =0A% Polyline=0An 450 1800 m 900 1800 l 90= 0 2250 l 450 2250 l=0A cp gs col0 s gr =0A% Polyline=0An 450 1350 m 9= 00 1350 l 900 1800 l 450 1800 l=0A cp gs col0 s gr =0A% Polyline=0An = 450 900 m 900 900 l 900 1350 l 450 1350 l=0A cp gs col0 s gr =0A% Pol= yline=0A60.000 slw=0An 450 3150 m=0A 450 900 l gs col4 s gr =0A% Poly= line=0An 2250 3150 m=0A 2250 1350 l gs col4 s gr =0A% Polyline=0An 45= 00 3150 m 4500 2700 l 4950 2700 l=0A 4950 1800 l gs col4 s gr =0A% Po= lyline=0An 6750 3150 m 6750 2250 l 7200 2250 l=0A 7200 1800 l gs col4= s gr =0A% Polyline=0An 9000 3150 m=0A 9000 1800 l gs col4 s gr =0A% = Polyline=0An 11250 3150 m 11250 2700 l 11700 2700 l=0A 11700 2250 l g= s col4 s gr =0A% Polyline=0An 13950 3150 m=0A 13950 2250 l gs col4 s = gr =0A% Polyline=0An 16650 3150 m=0A 16650 2700 l gs col4 s gr =0A/Ti= mes-Italic ff 360.00 scf sf=0A15187 -112 m=0Ags 1 -1 sc (5,4) col0 sh= gr=0A/ZapfChancery-MediumItalic ff 540.00 scf sf=0A14287 -225 m=0Ags= 1 -1 sc (PSP) col0 sh gr=0A/Times-Italic ff 360.00 scf sf=0A5512 -11= 2 m=0Ags 1 -1 sc (5,2) col0 sh gr=0A/ZapfChancery-MediumItalic ff 540= .00 scf sf=0A4612 -225 m=0Ags 1 -1 sc (PSP) col0 sh gr=0A/Times-Itali= c ff 360.00 scf sf=0A1012 -112 m=0Ags 1 -1 sc (5,1) col0 sh gr=0A/Zap= fChancery-MediumItalic ff 540.00 scf sf=0A112 -225 m=0Ags 1 -1 sc (PS= P) col0 sh gr=0A/Times-Italic ff 360.00 scf sf=0A17887 -112 m=0Ags 1 = -1 sc (5,5) col0 sh gr=0A/ZapfChancery-MediumItalic ff 540.00 scf sf= =0A16987 -225 m=0Ags 1 -1 sc (PSP) col0 sh gr=0A/Times-Italic ff 360.= 00 scf sf=0A17775 7425 m=0Ags 1 -1 sc (5,1) col0 sh gr=0A/Times-Itali= c ff 360.00 scf sf=0A14850 7425 m=0Ags 1 -1 sc (5,2) col0 sh gr=0A/Ti= mes-Italic ff 360.00 scf sf=0A5175 7425 m=0Ags 1 -1 sc (5,4) col0 sh = gr=0A/Times-Italic ff 360.00 scf sf=0A675 7425 m=0Ags 1 -1 sc (5,5) c= ol0 sh gr=0A/ZapfChancery-MediumItalic ff 540.00 scf sf=0A17325 7312 = m=0Ags 1 -1 sc (D) col0 sh gr=0A/ZapfChancery-MediumItalic ff 540.00 = scf sf=0A14400 7312 m=0Ags 1 -1 sc (D) col0 sh gr=0A/ZapfChancery-Med= iumItalic ff 540.00 scf sf=0A4725 7312 m=0Ags 1 -1 sc (D) col0 sh gr= =0A/ZapfChancery-MediumItalic ff 540.00 scf sf=0A225 7312 m=0Ags 1 -1= sc (D) col0 sh gr=0A/Times-Roman ff 450.00 scf sf=0A17662 5400 m= =0Ags 1 -1 sc (1) col0 sh gr=0A/Times-Roman ff 450.00 scf sf=0A14512 = 5400 m=0Ags 1 -1 sc (1 1) col0 sh gr=0A/Times-Roman ff 450.00 scf sf= =0A11700 5400 m=0Ags 1 -1 sc (1 0 1) col0 sh gr=0A/Times-Roman ff 450= .00 scf sf=0A9225 5400 m=0Ags 1 -1 sc (1 1 1) col0 sh gr=0A/Times-Rom= an ff 450.00 scf sf=0A6750 5400 m=0Ags 1 -1 sc (1 1 0 1) col0 sh gr= =0A/Times-Roman ff 450.00 scf sf=0A4500 5400 m=0Ags 1 -1 sc (1 0 1 1)= col0 sh gr=0A/Times-Roman ff 450.00 scf sf=0A2250 5400 m=0Ags 1 -1 s= c (1 1 1 1) col0 sh gr=0A/ZapfChancery-MediumItalic ff 540.00 scf sf= =0A10575 7312 m=0Ags 1 -1 sc (D) col0 sh gr=0A$F2psEnd=0Ars=0A= --Boundary_(ID_CpbDIwjU034JquXF85welw) Content-type: application/postscript; name=ps.eps Content-transfer-encoding: QUOTED-PRINTABLE Content-disposition: attachment; filename=ps.eps %!PS-Adobe-2.0 EPSF-2.0=0A%%Title: ps.eps=0A%%Creator: fig2dev Versio= n 3.2 Patchlevel 3d=0A%%CreationDate: Wed Jun 1 16:42:17 2005=0A%%Fo= r: rinaldi@homelinux (Rinaldi Simone)=0A%%BoundingBox: 0 0 354 67= =0A%%Magnification: 0.5000=0A%%EndComments=0A/$F2psDict 200 dict def= =0A$F2psDict begin=0A$F2psDict /mtrx matrix put=0A/col-1 {0 setgray} = bind def=0A/col0 {0.000 0.000 0.000 srgb} bind def=0A/col1 {0.000 0.0= 00 1.000 srgb} bind def=0A/col2 {0.000 1.000 0.000 srgb} bind def= =0A/col3 {0.000 1.000 1.000 srgb} bind def=0A/col4 {1.000 0.000 0.000= srgb} bind def=0A/col5 {1.000 0.000 1.000 srgb} bind def=0A/col6 {1.= 000 1.000 0.000 srgb} bind def=0A/col7 {1.000 1.000 1.000 srgb} bind = def=0A/col8 {0.000 0.000 0.560 srgb} bind def=0A/col9 {0.000 0.000 0.= 690 srgb} bind def=0A/col10 {0.000 0.000 0.820 srgb} bind def=0A/col1= 1 {0.530 0.810 1.000 srgb} bind def=0A/col12 {0.000 0.560 0.000 srgb}= bind def=0A/col13 {0.000 0.690 0.000 srgb} bind def=0A/col14 {0.000 = 0.820 0.000 srgb} bind def=0A/col15 {0.000 0.560 0.560 srgb} bind def= =0A/col16 {0.000 0.690 0.690 srgb} bind def=0A/col17 {0.000 0.820 0.8= 20 srgb} bind def=0A/col18 {0.560 0.000 0.000 srgb} bind def=0A/col19= {0.690 0.000 0.000 srgb} bind def=0A/col20 {0.820 0.000 0.000 srgb} = bind def=0A/col21 {0.560 0.000 0.560 srgb} bind def=0A/col22 {0.690 0= .000 0.690 srgb} bind def=0A/col23 {0.820 0.000 0.820 srgb} bind def= =0A/col24 {0.500 0.190 0.000 srgb} bind def=0A/col25 {0.630 0.250 0.0= 00 srgb} bind def=0A/col26 {0.750 0.380 0.000 srgb} bind def=0A/col27= {1.000 0.500 0.500 srgb} bind def=0A/col28 {1.000 0.630 0.630 srgb} = bind def=0A/col29 {1.000 0.750 0.750 srgb} bind def=0A/col30 {1.000 0= .880 0.880 srgb} bind def=0A/col31 {1.000 0.840 0.000 srgb} bind def= =0A=0Aend=0Asave=0Anewpath 0 67 moveto 0 0 lineto 354 0 lineto 354 67= lineto closepath clip newpath=0A-16.6 82.8 translate=0A1 -1 scale= =0A=0A/cp {closepath} bind def=0A/ef {eofill} bind def=0A/gr {grestor= e} bind def=0A/gs {gsave} bind def=0A/sa {save} bind def=0A/rs {resto= re} bind def=0A/l {lineto} bind def=0A/m {moveto} bind def=0A/rm {rmo= veto} bind def=0A/n {newpath} bind def=0A/s {stroke} bind def=0A/sh {= show} bind def=0A/slc {setlinecap} bind def=0A/slj {setlinejoin} bind= def=0A/slw {setlinewidth} bind def=0A/srgb {setrgbcolor} bind def= =0A/rot {rotate} bind def=0A/sc {scale} bind def=0A/sd {setdash} bind= def=0A/ff {findfont} bind def=0A/sf {setfont} bind def=0A/scf {scale= font} bind def=0A/sw {stringwidth} bind def=0A/tr {translate} bind de= f=0A/tnt {dup dup currentrgbcolor=0A 4 -2 roll dup 1 exch sub 3 -1 r= oll mul add=0A 4 -2 roll dup 1 exch sub 3 -1 roll mul add=0A 4 -2 r= oll dup 1 exch sub 3 -1 roll mul add srgb}=0A bind def=0A/shd {dup d= up currentrgbcolor 4 -2 roll mul 4 -2 roll mul=0A 4 -2 roll mul srgb= } bind def=0A /DrawEllipse {=0A=09/endangle exch def=0A=09/startangle= exch def=0A=09/yrad exch def=0A=09/xrad exch def=0A=09/y exch def= =0A=09/x exch def=0A=09/savematrix mtrx currentmatrix def=0A=09x y tr= xrad yrad sc 0 0 1 startangle endangle arc=0A=09closepath=0A=09savem= atrix setmatrix=0A=09} def=0A=0A/$F2psBegin {$F2psDict begin /$F2psEn= teredState save def} def=0A/$F2psEnd {$F2psEnteredState restore end} = def=0A=0A$F2psBegin=0A10 setmiterlimit=0A 0.03000 0.03000 sc=0A%=0A% = Fig objects follow=0A%=0A7.500 slw=0A% Ellipse=0An 600 2100 40 40 0 3= 60 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse= =0An 900 2100 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 = s gr=0A=0A% Ellipse=0An 600 600 40 40 0 360 DrawEllipse gs -0.00 setg= ray ef gr gs col0 s gr=0A=0A% Ellipse=0An 900 600 40 40 0 360 DrawEll= ipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Polyline=0An 600 2100= m 600 1800 l 900 1800 l 900 2100 l=0A 600 2100 l cp gs col0 s gr = =0A% Polyline=0An 600 1800 m 600 1500 l 900 1500 l 900 1800 l=0A 600 = 1800 l cp gs col0 s gr =0A% Polyline=0An 600 1500 m 600 1200 l 900 1= 200 l 900 1500 l=0A 600 1500 l cp gs col0 s gr =0A% Polyline=0An 600= 1200 m 600 900 l 900 900 l 900 1200 l=0A 600 1200 l cp gs col0 s gr= =0A% Polyline=0An 600 900 m 600 600 l 900 600 l 900 900 l=0A 600 900= l cp gs col0 s gr =0A% Ellipse=0An 1500 2100 40 40 0 360 DrawEllips= e gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 1500 900 40 = 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellip= se=0An 2100 900 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col= 0 s gr=0A=0A% Ellipse=0An 2100 2100 40 40 0 360 DrawEllipse gs -0.00 = setgray ef gr gs col0 s gr=0A=0A% Polyline=0An 1500 2100 m 1500 1800 = l 1800 1800 l 1800 2100 l=0A 1500 2100 l cp gs col0 s gr =0A% Polyli= ne=0An 1500 1800 m 1500 1500 l 1800 1500 l 1800 1800 l=0A 1500 1800 l= cp gs col0 s gr =0A% Polyline=0An 1500 1500 m 1500 1200 l 1800 1200= l 1800 1500 l=0A 1500 1500 l cp gs col0 s gr =0A% Polyline=0An 1500= 1200 m 1500 900 l 1800 900 l 1800 1200 l=0A 1500 1200 l cp gs col0 = s gr =0A% Polyline=0An 1800 1200 m 1800 900 l 2100 900 l 2100 1200 l= =0A 1800 1200 l cp gs col0 s gr =0A% Polyline=0An 1800 1500 m 1800 1= 200 l 2100 1200 l 2100 1500 l=0A 1800 1500 l cp gs col0 s gr =0A% Po= lyline=0An 1800 1800 m 1800 1500 l 2100 1500 l 2100 1800 l=0A 1800 18= 00 l cp gs col0 s gr =0A% Polyline=0An 1800 2100 m 1800 1800 l 2100 = 1800 l 2100 2100 l=0A 1800 2100 l cp gs col0 s gr =0A% Ellipse=0An 2= 700 2100 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr= =0A=0A% Ellipse=0An 3000 1200 40 40 0 360 DrawEllipse gs -0.00 setgra= y ef gr gs col0 s gr=0A=0A% Ellipse=0An 3600 1200 40 40 0 360 DrawEll= ipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 3300 2100= 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% P= olyline=0An 2700 2100 m 2700 1800 l 3000 1800 l 3000 2100 l=0A 2700 2= 100 l cp gs col0 s gr =0A% Polyline=0An 3000 2100 m 3000 1800 l 3300= 1800 l 3300 2100 l=0A 3000 2100 l cp gs col0 s gr =0A% Polyline= =0An 3000 1800 m 3000 1500 l 3300 1500 l 3300 1800 l=0A 3000 1800 l = cp gs col0 s gr =0A% Polyline=0An 3000 1500 m 3000 1200 l 3300 1200 l= 3300 1500 l=0A 3000 1500 l cp gs col0 s gr =0A% Polyline=0An 3300 1= 500 m 3300 1200 l 3600 1200 l 3600 1500 l=0A 3300 1500 l cp gs col0 = s gr =0A% Polyline=0An 3300 1800 m 3300 1500 l 3600 1500 l 3600 1800 = l=0A 3300 1800 l cp gs col0 s gr =0A% Ellipse=0An 5100 1200 40 40 0 = 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse= =0An 4500 1200 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0= s gr=0A=0A% Ellipse=0An 4800 2100 40 40 0 360 DrawEllipse gs -0.00 s= etgray ef gr gs col0 s gr=0A=0A% Polyline=0An 4200 2100 m 4200 1800 l= 4500 1800 l 4500 2100 l=0A 4200 2100 l cp gs col0 s gr =0A% Polylin= e=0An 4500 1800 m 4500 1500 l 4800 1500 l 4800 1800 l=0A 4500 1800 l = cp gs col0 s gr =0A% Polyline=0An 4500 2100 m 4500 1800 l 4800 1800 = l 4800 2100 l=0A 4500 2100 l cp gs col0 s gr =0A% Polyline=0An 4800 = 1500 m 4800 1200 l 5100 1200 l 5100 1500 l=0A 4800 1500 l cp gs col0= s gr =0A% Polyline=0An 4200 1800 m 4200 1500 l 4500 1500 l 4500 1800= l=0A 4200 1800 l cp gs col0 s gr =0A% Polyline=0An 4500 1500 m 4500= 1200 l 4800 1200 l 4800 1500 l=0A 4500 1500 l cp gs col0 s gr =0A% = Ellipse=0An 5700 2100 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr = gs col0 s gr=0A=0A% Ellipse=0An 5700 1200 40 40 0 360 DrawEllipse gs = -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 6600 1200 40 40 0= 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse= =0An 6600 2100 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0= s gr=0A=0A% Polyline=0An 5700 2100 m 5700 1800 l 6000 1800 l 6000 21= 00 l=0A 5700 2100 l cp gs col0 s gr =0A% Polyline=0An 5700 1800 m 57= 00 1500 l 6000 1500 l 6000 1800 l=0A 5700 1800 l cp gs col0 s gr = =0A% Polyline=0An 5700 1500 m 5700 1200 l 6000 1200 l 6000 1500 l= =0A 5700 1500 l cp gs col0 s gr =0A% Polyline=0An 6000 1500 m 6000 1= 200 l 6300 1200 l 6300 1500 l=0A 6000 1500 l cp gs col0 s gr =0A% Po= lyline=0An 6000 1800 m 6000 1500 l 6300 1500 l 6300 1800 l=0A 6000 18= 00 l cp gs col0 s gr =0A% Polyline=0An 6000 2100 m 6000 1800 l 6300 = 1800 l 6300 2100 l=0A 6000 2100 l cp gs col0 s gr =0A% Polyline=0An = 6300 2100 m 6300 1800 l 6600 1800 l 6600 2100 l=0A 6300 2100 l cp gs= col0 s gr =0A% Polyline=0An 6300 1800 m 6300 1500 l 6600 1500 l 6600= 1800 l=0A 6300 1800 l cp gs col0 s gr =0A% Polyline=0An 6300 1500 m= 6300 1200 l 6600 1200 l 6600 1500 l=0A 6300 1500 l cp gs col0 s gr = =0A% Ellipse=0An 7200 2100 40 40 0 360 DrawEllipse gs -0.00 setgray e= f gr gs col0 s gr=0A=0A% Ellipse=0An 7500 1500 40 40 0 360 DrawEllips= e gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 8100 2100 40= 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Elli= pse=0An 8400 1500 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs c= ol0 s gr=0A=0A% Polyline=0An 7200 1800 m 7500 1800 l 7500 2100 l 7200= 2100 l=0A 7200 1800 l cp gs col0 s gr =0A% Polyline=0An 7500 1800 m= 7800 1800 l 7800 2100 l 7500 2100 l=0A 7500 1800 l cp gs col0 s gr = =0A% Polyline=0An 7500 1500 m 7800 1500 l 7800 1800 l 7500 1800 l= =0A 7500 1500 l cp gs col0 s gr =0A% Polyline=0An 7800 1500 m 8100 1= 500 l 8100 1800 l 7800 1800 l=0A 7800 1500 l cp gs col0 s gr =0A% Po= lyline=0An 8100 1500 m 8400 1500 l 8400 1800 l 8100 1800 l=0A 8100 15= 00 l cp gs col0 s gr =0A% Polyline=0An 7800 1800 m 8100 1800 l 8100 = 2100 l 7800 2100 l=0A 7800 1800 l cp gs col0 s gr =0A% Ellipse=0An 9= 000 2100 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr= =0A=0A% Ellipse=0An 9000 1500 40 40 0 360 DrawEllipse gs -0.00 setgra= y ef gr gs col0 s gr=0A=0A% Ellipse=0An 10200 1500 40 40 0 360 DrawEl= lipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 10200 21= 00 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A= =0A% Polyline=0An 9000 1800 m 9300 1800 l 9300 2100 l 9000 2100 l= =0A 9000 1800 l cp gs col0 s gr =0A% Polyline=0An 9300 1800 m 9600 1= 800 l 9600 2100 l 9300 2100 l=0A 9300 1800 l cp gs col0 s gr =0A% Po= lyline=0An 9600 1800 m 9900 1800 l 9900 2100 l 9600 2100 l=0A 9600 18= 00 l cp gs col0 s gr =0A% Polyline=0An 9600 1500 m 9900 1500 l 9900 = 1800 l 9600 1800 l=0A 9600 1500 l cp gs col0 s gr =0A% Polyline=0An = 9300 1500 m 9600 1500 l 9600 1800 l 9300 1800 l=0A 9300 1500 l cp gs= col0 s gr =0A% Polyline=0An 9000 1500 m 9300 1500 l 9300 1800 l 9000= 1800 l=0A 9000 1500 l cp gs col0 s gr =0A% Polyline=0An 9600 1500 m= 9900 1500 l 9900 1800 l 9600 1800 l=0A 9600 1500 l cp gs col0 s gr = =0A% Polyline=0An 9900 1500 m 10200 1500 l 10200 1800 l 9900 1800 l= =0A 9900 1500 l cp gs col0 s gr =0A% Polyline=0An 9900 1800 m 10200 = 1800 l 10200 2100 l 9900 2100 l=0A 9900 1800 l cp gs col0 s gr =0A% = Ellipse=0An 10800 2100 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr= gs col0 s gr=0A=0A% Ellipse=0An 10800 1800 40 40 0 360 DrawEllipse g= s -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 12300 1800 40 4= 0 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellips= e=0An 12300 2100 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs co= l0 s gr=0A=0A% Polyline=0An 10800 1800 m 11100 1800 l 11100 2100 l 10= 800 2100 l=0A 10800 1800 l cp gs col0 s gr =0A% Polyline=0An 11100 1= 800 m 11400 1800 l 11400 2100 l 11100 2100 l=0A 11100 1800 l cp gs c= ol0 s gr =0A% Polyline=0An 11400 1800 m 11700 1800 l 11700 2100 l 114= 00 2100 l=0A 11400 1800 l cp gs col0 s gr =0A% Polyline=0An 11700 18= 00 m 12000 1800 l 12000 2100 l 11700 2100 l=0A 11700 1800 l cp gs co= l0 s gr =0A% Polyline=0An 12000 1800 m 12300 1800 l 12300 2100 l 1200= 0 2100 l=0A 12000 1800 l cp gs col0 s gr =0A% Ellipse=0An 4200 2100 = 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A/Tim= es-Italic ff 240.00 scf sf=0A6720 2760 m=0Ags 1 -1 sc (k=3D3) col0 sh= gr=0A/Times-Italic ff 240.00 scf sf=0A570 2760 m=0Ags 1 -1 sc (k= =3D1) col0 sh gr=0A/Times-Italic ff 240.00 scf sf=0A2895 2760 m=0Ags = 1 -1 sc (k=3D2) col0 sh gr=0A/Times-Italic ff 240.00 scf sf=0A9420 27= 60 m=0Ags 1 -1 sc (k=3D4) col0 sh gr=0A/Times-Italic ff 240.00 scf sf= =0A11370 2760 m=0Ags 1 -1 sc (k=3D5) col0 sh gr=0A$F2psEnd=0Ars=0A= --Boundary_(ID_CpbDIwjU034JquXF85welw) Content-type: application/postscript; name=balan.eps Content-transfer-encoding: QUOTED-PRINTABLE Content-disposition: attachment; filename=balan.eps %!PS-Adobe-2.0 EPSF-2.0=0A%%Title: balan.eps=0A%%Creator: fig2dev Ver= sion 3.2 Patchlevel 3d=0A%%CreationDate: Tue May 31 17:27:04 2005= =0A%%For: rinaldi@homelinux (Rinaldi Simone)=0A%%BoundingBox: 0 0 257= 94=0A%%Magnification: 0.7000=0A%%EndComments=0A/$F2psDict 200 dict d= ef=0A$F2psDict begin=0A$F2psDict /mtrx matrix put=0A/col-1 {0 setgray= } bind def=0A/col0 {0.000 0.000 0.000 srgb} bind def=0A/col1 {0.000 0= .000 1.000 srgb} bind def=0A/col2 {0.000 1.000 0.000 srgb} bind def= =0A/col3 {0.000 1.000 1.000 srgb} bind def=0A/col4 {1.000 0.000 0.000= srgb} bind def=0A/col5 {1.000 0.000 1.000 srgb} bind def=0A/col6 {1.= 000 1.000 0.000 srgb} bind def=0A/col7 {1.000 1.000 1.000 srgb} bind = def=0A/col8 {0.000 0.000 0.560 srgb} bind def=0A/col9 {0.000 0.000 0.= 690 srgb} bind def=0A/col10 {0.000 0.000 0.820 srgb} bind def=0A/col1= 1 {0.530 0.810 1.000 srgb} bind def=0A/col12 {0.000 0.560 0.000 srgb}= bind def=0A/col13 {0.000 0.690 0.000 srgb} bind def=0A/col14 {0.000 = 0.820 0.000 srgb} bind def=0A/col15 {0.000 0.560 0.560 srgb} bind def= =0A/col16 {0.000 0.690 0.690 srgb} bind def=0A/col17 {0.000 0.820 0.8= 20 srgb} bind def=0A/col18 {0.560 0.000 0.000 srgb} bind def=0A/col19= {0.690 0.000 0.000 srgb} bind def=0A/col20 {0.820 0.000 0.000 srgb} = bind def=0A/col21 {0.560 0.000 0.560 srgb} bind def=0A/col22 {0.690 0= .000 0.690 srgb} bind def=0A/col23 {0.820 0.000 0.820 srgb} bind def= =0A/col24 {0.500 0.190 0.000 srgb} bind def=0A/col25 {0.630 0.250 0.0= 00 srgb} bind def=0A/col26 {0.750 0.380 0.000 srgb} bind def=0A/col27= {1.000 0.500 0.500 srgb} bind def=0A/col28 {1.000 0.630 0.630 srgb} = bind def=0A/col29 {1.000 0.750 0.750 srgb} bind def=0A/col30 {1.000 0= .880 0.880 srgb} bind def=0A/col31 {1.000 0.840 0.000 srgb} bind def= =0A=0Aend=0Asave=0Anewpath 0 94 moveto 0 0 lineto 257 0 lineto 257 94= lineto closepath clip newpath=0A-59.8 192.1 translate=0A1 -1 scale= =0A=0A/cp {closepath} bind def=0A/ef {eofill} bind def=0A/gr {grestor= e} bind def=0A/gs {gsave} bind def=0A/sa {save} bind def=0A/rs {resto= re} bind def=0A/l {lineto} bind def=0A/m {moveto} bind def=0A/rm {rmo= veto} bind def=0A/n {newpath} bind def=0A/s {stroke} bind def=0A/sh {= show} bind def=0A/slc {setlinecap} bind def=0A/slj {setlinejoin} bind= def=0A/slw {setlinewidth} bind def=0A/srgb {setrgbcolor} bind def= =0A/rot {rotate} bind def=0A/sc {scale} bind def=0A/sd {setdash} bind= def=0A/ff {findfont} bind def=0A/sf {setfont} bind def=0A/scf {scale= font} bind def=0A/sw {stringwidth} bind def=0A/tr {translate} bind de= f=0A/tnt {dup dup currentrgbcolor=0A 4 -2 roll dup 1 exch sub 3 -1 r= oll mul add=0A 4 -2 roll dup 1 exch sub 3 -1 roll mul add=0A 4 -2 r= oll dup 1 exch sub 3 -1 roll mul add srgb}=0A bind def=0A/shd {dup d= up currentrgbcolor 4 -2 roll mul 4 -2 roll mul=0A 4 -2 roll mul srgb= } bind def=0A /DrawEllipse {=0A=09/endangle exch def=0A=09/startangle= exch def=0A=09/yrad exch def=0A=09/xrad exch def=0A=09/y exch def= =0A=09/x exch def=0A=09/savematrix mtrx currentmatrix def=0A=09x y tr= xrad yrad sc 0 0 1 startangle endangle arc=0A=09closepath=0A=09savem= atrix setmatrix=0A=09} def=0A=0A/$F2psBegin {$F2psDict begin /$F2psEn= teredState save def} def=0A/$F2psEnd {$F2psEnteredState restore end} = def=0A=0A$F2psBegin=0A10 setmiterlimit=0A 0.04200 0.04200 sc=0A%=0A% = Fig objects follow=0A%=0A/Times-Italic ff 240.00 scf sf=0A1425 4485 m= =0Ags 1 -1 sc (e) col0 sh gr=0A/Times-Italic ff 150.00 scf sf=0A1530 = 4560 m=0Ags 1 -1 sc (1) col0 sh gr=0A% Polyline=0A7.500 slw=0An 5400 = 3900 m 5700 3900 l 5700 4200 l 5400 4200 l=0A 5400 3900 l cp gs col0= s gr =0A% Polyline=0An 5700 3900 m 6000 3900 l 6000 4200 l 5700 4200= l=0A 5700 3900 l cp gs col0 s gr =0A% Polyline=0An 6000 3900 m 6300= 3900 l 6300 4200 l 6000 4200 l=0A 6000 3900 l cp gs col0 s gr =0A% = Polyline=0An 5700 3600 m 6000 3600 l 6000 3900 l 5700 3900 l=0A 5700 = 3600 l cp gs col0 s gr =0A% Polyline=0An 6000 3600 m 6300 3600 l 630= 0 3900 l 6000 3900 l=0A 6000 3600 l cp gs col0 s gr =0A% Polyline= =0An 6300 3600 m 6600 3600 l 6600 3900 l 6300 3900 l=0A 6300 3600 l = cp gs col0 s gr =0A% Polyline=0An 6000 3300 m 6300 3300 l 6300 3600 l= 6000 3600 l=0A 6000 3300 l cp gs col0 s gr =0A% Polyline=0An 6300 3= 300 m 6600 3300 l 6600 3600 l 6300 3600 l=0A 6300 3300 l cp gs col0 = s gr =0A% Polyline=0An 6600 3300 m 6900 3300 l 6900 3600 l 6600 3600 = l=0A 6600 3300 l cp gs col0 s gr =0A% Polyline=0An 6000 3000 m 6300 = 3000 l 6300 3300 l 6000 3300 l=0A 6000 3000 l cp gs col0 s gr =0A% P= olyline=0An 6300 3000 m 6600 3000 l 6600 3300 l 6300 3300 l=0A 6300 3= 000 l cp gs col0 s gr =0A% Polyline=0An 6600 3000 m 6900 3000 l 6900= 3300 l 6600 3300 l=0A 6600 3000 l cp gs col0 s gr =0A% Polyline= =0An 6600 2700 m 6900 2700 l 6900 3000 l 6600 3000 l=0A 6600 2700 l = cp gs col0 s gr =0A% Polyline=0An 6900 2700 m 7200 2700 l 7200 3000 l= 6900 3000 l=0A 6900 2700 l cp gs col0 s gr =0A% Polyline=0An 7200 2= 700 m 7500 2700 l 7500 3000 l 7200 3000 l=0A 7200 2700 l cp gs col0 = s gr =0A% Polyline=0An 6900 2400 m 7200 2400 l 7200 2700 l 6900 2700 = l=0A 6900 2400 l cp gs col0 s gr =0A% Polyline=0An 6600 2400 m 6900 = 2400 l 6900 2700 l 6600 2700 l=0A 6600 2400 l cp gs col0 s gr =0A% P= olyline=0An 7200 2400 m 7500 2400 l 7500 2700 l 7200 2700 l=0A 7200 2= 400 l cp gs col0 s gr =0A% Polyline=0A15.000 slw=0An 5400 4200 m 540= 0 3900 l 5700 3900 l 5700 3600 l 6000 3600 l 6000 3000 l=0A 6600 3000= l 6600 2400 l 7500 2400 l 7500 3000 l 6900 3000 l=0A 6900 3600 l 660= 0 3600 l 6600 3900 l 6300 3900 l 6300 4200 l=0A=0A 5400 4200 l cp gs= col0 s gr =0A7.500 slw=0A% Ellipse=0An 2700 2400 40 40 0 360 DrawEll= ipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 2100 3000= 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% E= llipse=0An 3300 3000 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr g= s col0 s gr=0A=0A% Ellipse=0An 1500 3600 40 40 0 360 DrawEllipse gs -= 0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 2100 3600 40 40 0 = 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse= =0An 2700 3600 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0= s gr=0A=0A% Ellipse=0An 3300 3600 40 40 0 360 DrawEllipse gs -0.00 s= etgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 1500 4200 40 40 0 360 Dr= awEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 2100= 4200 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr= =0A=0A% Ellipse=0An 2400 4200 40 40 0 360 DrawEllipse gs -0.00 setgra= y ef gr gs col0 s gr=0A=0A% Ellipse=0An 3000 4200 40 40 0 360 DrawEll= ipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% Ellipse=0An 3300 4200= 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr gs col0 s gr=0A=0A% E= llipse=0An 3900 4200 40 40 0 360 DrawEllipse gs -0.00 setgray ef gr g= s col0 s gr=0A=0A% Polyline=0An 2100 3000 m=0A 2700 2400 l gs col0 s = gr =0A% Polyline=0An 2700 2400 m=0A 3300 3000 l gs col0 s gr =0A% Pol= yline=0An 1500 3600 m=0A 2100 3000 l gs col0 s gr =0A% Polyline=0An 2= 100 3000 m=0A 2700 3600 l gs col0 s gr =0A% Polyline=0An 3300 3000 m= =0A 3300 3600 l gs col0 s gr =0A% Polyline=0An 3300 3600 m=0A 3300 42= 00 l gs col0 s gr =0A% Polyline=0An 3300 3600 m=0A 3900 4200 l gs col= 0 s gr =0A% Polyline=0An 2100 3000 m=0A 2100 3600 l gs col0 s gr = =0A% Polyline=0An 1500 3600 m=0A 1500 4200 l gs col0 s gr =0A% Polyli= ne=0An 2100 3600 m=0A 2100 4200 l gs col0 s gr =0A% Polyline=0An 2700= 3600 m=0A 2400 4200 l gs col0 s gr =0A% Polyline=0An 2700 3600 m= =0A 3000 4200 l gs col0 s gr =0A/Times-Italic ff 240.00 scf sf=0A2025= 4500 m=0Ags 1 -1 sc (e) col0 sh gr=0A/Times-Italic ff 240.00 scf sf= =0A2325 4485 m=0Ags 1 -1 sc (e) col0 sh gr=0A/Times-Italic ff 150.00 = scf sf=0A2430 4560 m=0Ags 1 -1 sc (3) col0 sh gr=0A/Times-Italic ff 2= 40.00 scf sf=0A2955 4500 m=0Ags 1 -1 sc (e) col0 sh gr=0A/Times-Itali= c ff 150.00 scf sf=0A3060 4575 m=0Ags 1 -1 sc (4) col0 sh gr=0A/Times= -Italic ff 240.00 scf sf=0A3225 4500 m=0Ags 1 -1 sc (e) col0 sh gr= =0A/Times-Italic ff 150.00 scf sf=0A3330 4575 m=0Ags 1 -1 sc (5) col0= sh gr=0A/Times-Italic ff 240.00 scf sf=0A3840 4500 m=0Ags 1 -1 sc (e= ) col0 sh gr=0A/Times-Italic ff 150.00 scf sf=0A3945 4575 m=0Ags 1 -1= sc (6) col0 sh gr=0A/Times-Italic ff 150.00 scf sf=0A2130 4575 m= =0Ags 1 -1 sc (2) col0 sh gr=0A$F2psEnd=0Ars=0A= --Boundary_(ID_CpbDIwjU034JquXF85welw) Content-type: application/postscript; name=contile.eps Content-transfer-encoding: QUOTED-PRINTABLE Content-disposition: attachment; filename=contile.eps %!PS-Adobe-2.0 EPSF-2.0=0D=0A%%Title: /Users/srecko/Desktop/ArticlesP= ortable/Chambery/PPQR/contile.fig=0D=0A%%Creator: fig2dev Version 3.2= Patchlevel 4=0D=0A%%CreationDate: Sat Mar 12 04:55:25 2005=0D=0A%%Fo= r: srecko@PortableG4.local (Srecko)=0D=0A%%BoundingBox: 0 0 236 99= =0D=0A%%Magnification: 0.6000=0D=0A%%EndComments=0D=0A/$F2psDict 200 = dict def=0D=0A$F2psDict begin=0D=0A$F2psDict /mtrx matrix put=0D=0A/c= ol-1 {0 setgray} bind def=0D=0A/col0 {0.000 0.000 0.000 srgb} bind de= f=0D=0A/col1 {0.000 0.000 1.000 srgb} bind def=0D=0A/col2 {0.000 1.00= 0 0.000 srgb} bind def=0D=0A/col3 {0.000 1.000 1.000 srgb} bind def= =0D=0A/col4 {1.000 0.000 0.000 srgb} bind def=0D=0A/col5 {1.000 0.000= 1.000 srgb} bind def=0D=0A/col6 {1.000 1.000 0.000 srgb} bind def= =0D=0A/col7 {1.000 1.000 1.000 srgb} bind def=0D=0A/col8 {0.000 0.000= 0.560 srgb} bind def=0D=0A/col9 {0.000 0.000 0.690 srgb} bind def= =0D=0A/col10 {0.000 0.000 0.820 srgb} bind def=0D=0A/col11 {0.530 0.8= 10 1.000 srgb} bind def=0D=0A/col12 {0.000 0.560 0.000 srgb} bind def= =0D=0A/col13 {0.000 0.690 0.000 srgb} bind def=0D=0A/col14 {0.000 0.8= 20 0.000 srgb} bind def=0D=0A/col15 {0.000 0.560 0.560 srgb} bind def= =0D=0A/col16 {0.000 0.690 0.690 srgb} bind def=0D=0A/col17 {0.000 0.8= 20 0.820 srgb} bind def=0D=0A/col18 {0.560 0.000 0.000 srgb} bind def= =0D=0A/col19 {0.690 0.000 0.000 srgb} bind def=0D=0A/col20 {0.820 0.0= 00 0.000 srgb} bind def=0D=0A/col21 {0.560 0.000 0.560 srgb} bind def= =0D=0A/col22 {0.690 0.000 0.690 srgb} bind def=0D=0A/col23 {0.820 0.0= 00 0.820 srgb} bind def=0D=0A/col24 {0.500 0.190 0.000 srgb} bind def= =0D=0A/col25 {0.630 0.250 0.000 srgb} bind def=0D=0A/col26 {0.750 0.3= 80 0.000 srgb} bind def=0D=0A/col27 {1.000 0.500 0.500 srgb} bind def= =0D=0A/col28 {1.000 0.630 0.630 srgb} bind def=0D=0A/col29 {1.000 0.7= 50 0.750 srgb} bind def=0D=0A/col30 {1.000 0.880 0.880 srgb} bind def= =0D=0A/col31 {1.000 0.840 0.000 srgb} bind def=0D=0A=0D=0Aend=0D=0Asa= ve=0D=0Anewpath 0 99 moveto 0 0 lineto 236 0 lineto 236 99 lineto clo= sepath clip newpath=0D=0A-29.7 184.4 translate=0D=0A1 -1 scale=0D= =0A=0D=0A/cp {closepath} bind def=0D=0A/ef {eofill} bind def=0D=0A/gr= {grestore} bind def=0D=0A/gs {gsave} bind def=0D=0A/sa {save} bind d= ef=0D=0A/rs {restore} bind def=0D=0A/l {lineto} bind def=0D=0A/m {mov= eto} bind def=0D=0A/rm {rmoveto} bind def=0D=0A/n {newpath} bind def= =0D=0A/s {stroke} bind def=0D=0A/sh {show} bind def=0D=0A/slc {setlin= ecap} bind def=0D=0A/slj {setlinejoin} bind def=0D=0A/slw {setlinewid= th} bind def=0D=0A/srgb {setrgbcolor} bind def=0D=0A/rot {rotate} bin= d def=0D=0A/sc {scale} bind def=0D=0A/sd {setdash} bind def=0D=0A/ff = {findfont} bind def=0D=0A/sf {setfont} bind def=0D=0A/scf {scalefont}= bind def=0D=0A/sw {stringwidth} bind def=0D=0A/tr {translate} bind d= ef=0D=0A/tnt {dup dup currentrgbcolor=0D=0A 4 -2 roll dup 1 exch sub= 3 -1 roll mul add=0D=0A 4 -2 roll dup 1 exch sub 3 -1 roll mul add= =0D=0A 4 -2 roll dup 1 exch sub 3 -1 roll mul add srgb}=0D=0A bind = def=0D=0A/shd {dup dup currentrgbcolor 4 -2 roll mul 4 -2 roll mul= =0D=0A 4 -2 roll mul srgb} bind def=0D=0A /DrawEllipse {=0D=0A=09/en= dangle exch def=0D=0A=09/startangle exch def=0D=0A=09/yrad exch def= =0D=0A=09/xrad exch def=0D=0A=09/y exch def=0D=0A=09/x exch def=0D= =0A=09/savematrix mtrx currentmatrix def=0D=0A=09x y tr xrad yrad sc = 0 0 1 startangle endangle arc=0D=0A=09closepath=0D=0A=09savematrix se= tmatrix=0D=0A=09} def=0D=0A=0D=0A/$F2psBegin {$F2psDict begin /$F2psE= nteredState save def} def=0D=0A/$F2psEnd {$F2psEnteredState restore e= nd} def=0D=0A=0D=0A$F2psBegin=0D=0A10 setmiterlimit=0D=0A0 slj 0 slc= =0D=0A 0.03600 0.03600 sc=0D=0A%=0D=0A% Fig objects follow=0D=0A%= =0D=0A% =0D=0A% here starts figure with depth 50=0D=0A/Times-BoldItal= ic ff 270.00 scf sf=0D=0A2850 3675 m=0D=0Ags 1 -1 sc (A') col0 sh gr= =0D=0A% Polyline=0D=0A15.000 slw=0D=0An 6900 3900 m 6900 3600 l 7200 = 3600 l 7200 3450 l 7350 3450 l 7350 3300 l=0D=0A 7200 3300 l 7200 300= 0 l 7050 3000 l 7050 3150 l 6900 3150 l=0D=0A 6900 3300 l 6600 3300 l= 6600 3600 l 6750 3600 l 6750 3900 l=0D=0A=0D=0A 6900 3900 l cp gs c= ol0 s gr =0D=0A% Polyline=0D=0An 5850 3900 m 5850 3600 l 6150 3600 l = 6150 3450 l 6300 3450 l 6300 3300 l=0D=0A 6150 3300 l 6150 3000 l 600= 0 3000 l 6000 3150 l 5850 3150 l=0D=0A 5850 3300 l 5550 3300 l 5550 3= 600 l 5700 3600 l 5700 3900 l=0D=0A=0D=0A 5850 3900 l cp gs col0 s g= r =0D=0A% Polyline=0D=0An 6450 4500 m 6450 4200 l 6750 4200 l 6750 40= 50 l 6900 4050 l 6900 3900 l=0D=0A 6750 3900 l 6750 3600 l 6600 3600 = l 6600 3750 l 6450 3750 l=0D=0A 6450 3900 l 6150 3900 l 6150 4200 l 6= 300 4200 l 6300 4500 l=0D=0A=0D=0A 6450 4500 l cp gs col0 s gr =0D= =0A% Polyline=0D=0An 6150 4200 m 6150 3900 l 6450 3900 l 6450 3750 l = 6600 3750 l 6600 3600 l=0D=0A 6450 3600 l 6450 3300 l 6300 3300 l 630= 0 3450 l 6150 3450 l=0D=0A 6150 3600 l 5850 3600 l 5850 3900 l 6000 3= 900 l 6000 4200 l=0D=0A=0D=0A 6150 4200 l cp gs col12 1.00 shd ef gr= gs col0 s gr =0D=0A% Polyline=0D=0An 6600 3600 m 6600 3300 l 6900 33= 00 l 6900 3150 l 7050 3150 l 7050 3000 l=0D=0A 6900 3000 l 6900 2700 = l 6750 2700 l 6750 2850 l 6600 2850 l=0D=0A 6600 3000 l 6300 3000 l 6= 300 3300 l 6450 3300 l 6450 3600 l=0D=0A=0D=0A 6600 3600 l cp gs col= 0 s gr =0D=0A% Polyline=0D=0An 6300 3300 m 6300 3000 l 6600 3000 l 66= 00 2850 l 6750 2850 l 6750 2700 l=0D=0A 6600 2700 l 6600 2400 l 6450 = 2400 l 6450 2550 l 6300 2550 l=0D=0A 6300 2700 l 6000 2700 l 6000 300= 0 l 6150 3000 l 6150 3300 l=0D=0A=0D=0A 6300 3300 l cp gs col0 s gr = =0D=0A% Polyline=0D=0An 6000 5100 m 6000 4800 l 6300 4800 l 6300 4650= l 6450 4650 l 6450 4500 l=0D=0A 6300 4500 l 6300 4200 l 6150 4200 l = 6150 4350 l 6000 4350 l=0D=0A 6000 4500 l 5700 4500 l 5700 4800 l 585= 0 4800 l 5850 5100 l=0D=0A=0D=0A 6000 5100 l cp gs col0 s gr =0D= =0A% Polyline=0D=0An 5400 4500 m 5400 4200 l 5700 4200 l 5700 4050 l = 5850 4050 l 5850 3900 l=0D=0A 5700 3900 l 5700 3600 l 5550 3600 l 555= 0 3750 l 5400 3750 l=0D=0A 5400 3900 l 5100 3900 l 5100 4200 l 5250 4= 200 l 5250 4500 l=0D=0A=0D=0A 5400 4500 l cp gs col0 s gr =0D=0A% El= lipse=0D=0A7.500 slw=0D=0An 1200 4200 54 54 0 360 DrawEllipse gs 0.00= setgray ef gr gs col0 s gr=0D=0A=0D=0A% Ellipse=0D=0An 2700 3600 54 = 54 0 360 DrawEllipse gs 0.00 setgray ef gr gs col0 s gr=0D=0A=0D=0A% = Ellipse=0D=0An 2100 3000 54 54 0 360 DrawEllipse gs 0.00 setgray ef g= r gs col0 s gr=0D=0A=0D=0A% Ellipse=0D=0An 1800 4800 54 54 0 360 Draw= Ellipse gs 0.00 setgray ef gr gs col0 s gr=0D=0A=0D=0A% Polyline=0D= =0An 1200 3900 m 1500 3900 l 1500 4200 l 1200 4200 l=0D=0A 1200 3900 = l cp gs col0 s gr =0D=0A% Polyline=0D=0An 1200 3600 m 1500 3600 l 15= 00 3900 l 1200 3900 l=0D=0A 1200 3600 l cp gs col0 s gr =0D=0A% Poly= line=0D=0An 1500 3600 m 1800 3600 l 1800 3900 l 1500 3900 l=0D=0A 150= 0 3600 l cp gs col0 s gr =0D=0A% Polyline=0D=0An 1500 3900 m 1800 39= 00 l 1800 4200 l 1500 4200 l=0D=0A 1500 3900 l cp gs col0 s gr =0D= =0A% Polyline=0D=0An 1500 4200 m 1800 4200 l 1800 4500 l 1500 4500 l= =0D=0A 1500 4200 l cp gs col0 s gr =0D=0A% Polyline=0D=0An 1800 3900= m 2100 3900 l 2100 4200 l 1800 4200 l=0D=0A 1800 3900 l cp gs col0 = s gr =0D=0A% Polyline=0D=0An 1800 3600 m 2100 3600 l 2100 3900 l 1800= 3900 l=0D=0A 1800 3600 l cp gs col0 s gr =0D=0A% Polyline=0D=0An 21= 00 3600 m 2400 3600 l 2400 3900 l 2100 3900 l=0D=0A 2100 3600 l cp g= s col0 s gr =0D=0A% Polyline=0D=0An 2100 3300 m 2400 3300 l 2400 3600= l 2100 3600 l=0D=0A 2100 3300 l cp gs col0 s gr =0D=0A% Polyline= =0D=0A30.000 slw=0D=0An 1200 4200 m 1200 3600 l 1800 3600 l 1800 3300= l 2100 3300 l 2100 3000 l=0D=0A 2400 3000 l 2400 3600 l 2700 3600 l = 2700 3900 l 2400 3900 l=0D=0A 2400 4200 l 1800 4200 l 1800 4800 l 150= 0 4800 l 1500 4200 l=0D=0A=0D=0A 1200 4200 l cp gs col0 s gr =0D= =0A/Times-BoldItalic ff 270.00 scf sf=0D=0A825 4350 m=0D=0Ags 1 -1 sc= (A) col0 sh gr=0D=0A/Times-BoldItalic ff 270.00 scf sf=0D=0A1800 292= 5 m=0D=0Ags 1 -1 sc (B) col0 sh gr=0D=0A/Times-BoldItalic ff 270.00 s= cf sf=0D=0A1950 5025 m=0D=0Ags 1 -1 sc (B') col0 sh gr=0D=0A% Polylin= e=0D=0A15.000 slw=0D=0An 5700 4800 m 5700 4500 l 6000 4500 l 6000 435= 0 l 6150 4350 l 6150 4200 l=0D=0A 6000 4200 l 6000 3900 l 5850 3900 l= 5850 4050 l 5700 4050 l=0D=0A 5700 4200 l 5400 4200 l 5400 4500 l 55= 50 4500 l 5550 4800 l=0D=0A=0D=0A 5700 4800 l cp gs col0 s gr =0D= =0A% here ends figure;=0D=0A$F2psEnd=0D=0Ars=0D=0Ashowpage=0D=0A= --Boundary_(ID_CpbDIwjU034JquXF85welw)--