MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_NextPart_01C973CF.F24FA460" Данный документ является веб-страницей в одном файле, также называемой файлом веб-архива. Если вы видите это сообщение, значит, данный обозреватель или редактор не поддерживает файлы веб-архива. Загрузите обозреватель, поддерживающий веб-архивы, например Windows® Internet Explorer®. ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" СП 52-103-2007 «Железобетl= 6;нные монолитные конструкциl= 0; зданий»

Сис = 90;ема нормативныm= 3; документов = 74; строительсm= 0;ве

СВ= ОД ПРАВИЛ
ПО ПРОЕКТИРОВh= 0;НИЮ И СТРОИТЕЛЬСi= 8;ВУ

ЖЕЛЕЗОБЕТ = 54;ННЫЕ МОНОЛИТНЫЕ
КОНСТРУКЦИh= 8; ЗДАНИЙ

<= font size=3D4 face=3D"Times New Roman">СП 52-103-2007

Мо= сква

2007

Предислов&= #1080;е

1 РАЗРАБОТАН Научно-иссл = 77;довательск&#= 1080;м, проектно-ко = 85;структорск&#= 1080;м и технологичk= 7;ским институтом бетона и железобетоl= 5;а (НИИЖБ) - филиалом ФГУП «НИЦ «Строительl= 9;тво»

2 РЕКОМЕНДОВh= 0;Н К УТВЕРЖДЕНИk= 0; И ПРИМЕНЕНИ = 70; конструкто&= #1088;ской секцией НТС НИИЖБ 27 апрел&= #1103; 2006 г.

3 УТВЕРЖДЕН И ВВЕДЕН В ДЕЙСТВИЕ приказом и.о. генеральноk= 5;о директора ФГУП «НИЦ «Строительl= 9;тво» от 12 июля 2007 г. № 123.

4 ВВЕДЕН впервые<= /p>

= 57;одержание

В= 074;едение=

1 Область применения

= 2 Нормативны= 077; ссылки

3 Термины и определени= 103;

4 Общие указания

5 Конструкти= 074;ные решения железобето= 085;ных монолитных зданий

6 Расчет несущих кон&#= 1089;труктивных систем

6.1 Расчетная схема

6.2 Требования к расчету

6.3 Методы расчета

7 Несущие железобето= 085;ные конструкци= 080;

8 Расчет несущих железобето= 085;ных конструкци= 081;

9 Конструиро= 074;ание основных несущих железобето= 085;ных конструкци= 081; монолитных зданий

Прилож= 077;ние А Осно&= #1074;ные буквенные обозначени= 103;

Прилож= 077;ние Б Пере&= #1095;ень нормативно= 081; и техническо= 081; документац= 080;и

 

Введение<= /o:p>

Настоящий Свод правил разработан = 74; развитие &= #1057;НиП 52-01-2003 «Бетонны = 77; и железобетоl= 5;ные конструкциl= 0;. Основные положения».

Объем строительсm= 0;ва зданий различного = 85;азначения из монолитногl= 6; железобетоl= 5;а в последние годы значительнl= 6; возрос. В то ж&= #1077; время практика проектировk= 2;ния не имеет в своем распоряженl= 0;и документа, где были бы объединены основные требования, выполнение которых обеспечиваk= 7;т надежность = 80; безопаснос&= #1090;ь такого вида зданий. Настоящий Свод правил ставит свое = 81; целью восполнить этот пробел.

Свод прави= 083; содержит рекомендацl= 0;и по расчету и проектировk= 2;нию железобетоl= 5;ных монолитных конструкциl= 1; зданий жилого и гра= 078;данского назначения из тяжелого бетона без предваритеl= 3;ьного напряжения арматуры.

Решение вопроса о применении данного Свода прави = 83; при проектировk= 2;нии монолитных зданий отно = 89;ится к компетенциl= 0; заказчика или проектн = 86;й организациl= 0;. В случае принятия ре = 96;ения о применени = 80; настоящего Свода прави = 83; должны быть выполнены все установленl= 5;ые в нем требов= 072;ния.

Свод прави= 083; разработалl= 0; д-ра техн. наук А. С. Залесов, А.С. Семченков, Е.А. Чистяков, С.Б. Крылов, = 082;анд. техн. наук Р.Ш. Шарипов (НИ= ;ИЖБ - филиал ФГУП «НИЦ «Строительl= 9;тво»).

СП 52-103-200= 7

СВ= ОД ПРАВИЛ ПО ПРОЕКТИРОВh= 0;НИЮ И СТРОИТЕЛЬ = 57;ТВУ

= ЖЕЛЕЗОБ&= #1045;ТОННЫЕ МОНОЛИТНЫЕ КОНСТРУКЦИh= 8; ЗДАНИЙ=

CONCRETE MONOLITHIC
BUILDIN= G STRUCTURES

Дат = 72; введения 2007-07-15<= /span>

1 Область применения<= /o:p>

Н= ;астоящий Свод правил (далее - СП) распростраl= 5;яется на проектировk= 2;ние железобетоl= 5;ных монолитных конструкциl= 1; зданий жилого и гражданскоk= 5;о назначения из тяжелого бетона без предваритеl= 3;ьного напряжения арматуры.

2 Нормативныk= 7; ссылки<= span style=3D'mso-fareast-font-family:"Times New Roman";font-weight:bold'><= /o:p>

В настоящем Своде прави = 83; использоваl= 5;ы ссылки на следующие основные нормативныk= 7; документы:

<= span style=3D'mso-bidi-font-size:11.0pt'>СНиП 52-01-2003= Бетонные и железобетоl= 5;ные конструкциl= 0;. Основные положения

СП 52-101-2003 Бетонные и ж= 077;лезобетонн&= #1099;е конструкциl= 0; без предвар = 80;тельного напряжения арматуры

СП 52-104-2004 Сталефиброk= 3;етонные конструкциl= 0;.

Д= ;ругие нормативныk= 7; и рекомендатk= 7;льные документы, ссылки на которые использоваl= 5;ы в настоящем СП, приведен= 099; в приложен= 080;и Б.

3 Термины и определениn= 3;<= /o:p>

В настоящем Своде прави = 83; использоваl= 5;ы основные термины и определениn= 3; по &= #1057;НиП 52-01, С= 055; 52-101, С= 055; 52-104 и другим нормативныl= 4; документам.

4 Общие указания<= /o:p>

4.1 Рекомендацl= 0;и настоящего Свода прави = 83; распростраl= 5;яются на проектировk= 2;ние различных конструктиk= 4;ных систем зданий, в кот&#= 1086;рых все основны = 77; несущие конструкциl= 0; (колонны, стены, перекрытия, покрытия, фундаменты) выполняютсn= 3; из монолитногl= 6; железобетоl= 5;а с жесткими и податливымl= 0; сопряженияl= 4;и между ними.

4.2 Проектировk= 2;ние конструкциl= 1; зданий, подв= 077;ргающихся климатичесl= 2;им температурl= 5;о-влажностн&#= 1099;м воздействиn= 3;м, следует вып = 86;лнять по СНиП 2.01.07.

4.3 Расчет и конструироk= 4;ание зданий при сейсмическl= 0;х воздействиn= 3;х следует выполнять согласно СниП II-7. Огнестойкоl= 9;ть конструкциl= 1; и огнесохра = 85;ность зданий должны отвечать требованияl= 4; СНиi= 5; 21-01 и СТО 36554501-006.

4.4 Несущие конструкциl= 0; здания следует про = 77;ктировать с учетом долговечноl= 9;ти и ремонтопр = 80;годности согласно СНиП 31-01, защиту конструкциl= 1; от коррозии следует вып = 86;лнять согласно указаний Сi= 3;иП 2.03.11.

4.5 Значения предельных деформаций основания зданий регламентиl= 8;уются СНиП 2.02.01. Предельные прогибы, перемещениn= 3; конструкциl= 1; и перекосы вертикальнm= 9;х и горизонта = 83;ьных ячеек здани = 81; не должны превышать д = 86;пустимых значений, приведенныm= 3; в СНиП 2.01.07.

4.6 Для зданий, рассчитываk= 7;мых на совместное воздействиk= 7; вертикальнm= 9;х и горизонталn= 0;ных нагрузок по недеформирl= 6;ванной схеме, проги= 073; верха здани = 03; с учетом податливосm= 0;и основания рекомендуеm= 0;ся принимать н = 77; более 0,001 высоты здан = 80;я. При больших значениях прогибов необходимо выполнить расчет по деформировk= 2;нной схеме. При этом значение прогиба здания не должно превышать 0,002 его высоты.

4.7 Настоящий Свод правил следует применять совместно с С= 055; 52-101 и С= 055; 52-104.

4.8 Железобетоl= 5;ные конструкциl= 0; должны быть = 089;конструиро&= #1074;аны таким образом, чтобы с дост= 072;точной надежностьn= 2; предотвратl= 0;ть возникновеl= 5;ие всех видов предельных состояний. Это достигаетсn= 3; выбором показателеl= 1; качества материалов, назначениеl= 4; размеров и конструироk= 4;анием согласно рекомендацl= 0;ям настоящего СП и действующиm= 3; нормативныm= 3; документов. При этом должны быть выполнены технологичk= 7;ские требования при изготов = 83;ении конструкциl= 1;, соблюдены требования по эксплуатацl= 0;и зданий, а также требо = 74;ания по экологии, энергосберk= 7;жению, противопожk= 2;рной безопасносm= 0;и и долговечноl= 9;ти, устанавливk= 2;емые соответствm= 1;ющими нормативныl= 4;и документамl= 0;, и учтены неравномерl= 5;ые осадки основания.

4.9 При проектировk= 2;нии железобетоl= 5;ных конструкциl= 1; их надежность должна быть установленk= 2; расчетом по предельным состояниям первой и второй груп = 87; путем использоваl= 5;ия расчетных значений нагрузок, характерисm= 0;ик материалов, определяемm= 9;х с помощью соответствm= 1;ющих частных коэффициенm= 0;ов надежности по нормативныl= 4; значениям этих характ = 77;ристик с учетом степени ответственl= 5;ости зданий.

Н= ;ормативные значения нагрузок, коэффициенm= 0;ов сочетаний нагрузок и коэффициенm= 0;ов надежности ответственl= 5;ости конструкциl= 1;, а также разделение нагрузок на постоянные = 80; временные (длительные = 080; кратковремk= 7;нные) следует принимать согласно СНиП 2.01.07.

П= ;орядок приложения постоянных = 80; длительно действующиm= 3; нагрузок должен определятьl= 9;я графиком производстk= 4;а работ или по факту.

4.10 Наряду с контролем прочности бетона по образцам рекомендуеm= 0;ся контроль пр = 86;чности бетона в готовой конструкциl= 0; проводить с использоваl= 5;ием неразрушаюm= 7;их методов по ГОС= 058; 22690.

4.11 При применении арматуры класса А500С с эффективныl= 4; профилем, разработанl= 5;ым в НИИЖБ, след&#= 1091;ет пользоватьl= 9;я рекомендацl= 0;ями СТО 36554501-005. Стыковку арматуры в торец на стройплощаk= 6;ке следует осуществляm= 0;ь с помощью ванной свар = 82;и, а также винтовых и опресованнm= 9;х механическl= 0;х соединений.

Р= ;екомендует = 89;я применение арматуры малого диаметра расширенноk= 5;о сортамента: 5,5= ; 6; 6,5; 7; 8; 9; 10; 11; 12 мм нового периодичесl= 2;ого профиля с сердечникоl= 4; в форме квадрата со скругленныl= 4;и углами в соответствl= 0;и с ТУ 14-1-5500, ТУ 14-1-5501.

5 Конструктиk= 4;ные решения железобетоl= 5;ных монолитных зданий<= span style=3D'mso-fareast-font-family:"Times New Roman";font-weight:bold'><= /o:p>

5.1 Конструктиk= 4;ное решение включает строительнm= 1;ю и конструктиk= 4;ную системы, а также конструктиk= 4;ную схему.

5.2 Строительнk= 2;я система здания определяетl= 9;я материалом, наиболее массовой конструкциk= 7;й и технологиеl= 1; возведения несущих эле = 84;ентов (монолитный железобетоl= 5;).

5.3 Конструктиk= 4;ная система (далее - КС) здания пред = 89;тавляет собой совокупносm= 0;ь взаимосвязk= 2;нных несущих конструктиk= 4;ных элементов, обеспечиваn= 2;щих его прочность, устойчивосm= 0;ь и необходим = 99;й уровень эксплуатацl= 0;онных качеств.

5.4 Несущая КС монолитногl= 6; железобетоl= 5;ного здания состоит из фундамента, опирающихсn= 3; на него верт= 080;кальных несущих элементов (колонн и сте&#= 1085;) и объединяющl= 0;х их в единую пространстk= 4;енную систему горизонталn= 0;ных элементов (п= 083;ит перекрытий = 80; покрытия).

5.5 &#= 1042; зависимостl= 0; от типа вертикальнm= 9;х несущих элементов (колонны и стены) конструктиk= 4;ные системы разделяют н = 72; (рис. 5.1, а, б, в):

- колонные, гд= 077; основным несущим вертикальнm= 9;м элементом являются колонны;

- стеновые, гд= 077; основным несущим элементом я = 74;ляются стены;

- колонно-сте = 85;овые, или смешанные, где вертика = 83;ьными несущими элементами являются ко = 83;онны и стены.

=

k= 2; - колонная КС; б - стеновая КС; в - смешанная К = 57;;

1 - плита перекрытия; = 2 - коло = 85;ны; 3 - стены

Ри= ;сунок 5.1 - Ф = 88;агменты планов зданий

Н= ;ижние этажи часто решают в одной конструктиk= 4;ной системе, а верхние - в другой. Конс= 090;руктивная система таких здани = 81; является ко = 84;бинированн&#= 1086;й.

5.6 В зависимостl= 0; от инженерно-г = 77;ологически&#= 1093; условий, нагрузок и проектного задания фун = 76;аменты выполняют в виде отдельных плит переменной толщины под колонны (рис. 5= .2, а), ленточных плит под колонны и стену (рис. 5.2, б) и общей фундаментнl= 6;й плиты по все= 081; площади конструктиk= 4;ной системы (рис. 5= .2, в). При большой толщине пли = 90; применяют более эконо = 84;ичные, чем сплошны = 77;, ребристые и коробчатые плиты (рис. 5.2, г, д). При слабых грунтах устраивают свайные фундаменты.

=

= а - отдельный; <= i>б - ленточный; в, г, д - плитные: сплошной, ребристый и коробчатый

Рисунок 5.2 - Фун&#= 1076;аменты

5.7 Колонны могут иметь поперечное сечение ква = 76;ратное, прямоугольl= 5;ое, круглое, кольцевое, уголковое, тавровое и крестовое (рис. 5.3, а-ж).

=

= а - квадратное; = б - круглое; в - кольцевое; г - прямоугольl= 5;ое; д - уголковое; е - тавровое; ж - крестовое<= /span>

Рисунок 5.3 - Поп&= #1077;речные сечения колонн

П= ;рямоугольн = 99;е колонны (пилоны) с вытянутым поперечным сечением имеют соотношениn= 3; b/а<4 или <= i>hэт/b>4. Более вытянутые в плане колонны следует отн = 86;сить к стенам.

5.8 Несущие стены в план= 077; могут быть отдельно стоящими (рис. 5.1, в); продольнымl= 0; и поперечнымl= 0;; перекрестнm= 9;ми (рис. 5.1, б), образующимl= 0; вертикальнm= 9;е тонкостеннm= 9;е стержни открытого и замкнутого = 89;ечений.

5.9 Плиты перекрытий = 74; колонных КС бывают:

- безбалочныk= 7; в виде гладкой плиты (рис. 5.4, а); плиты с капителями (рис. 5.4, б); плиты гладкие или = 089; капителями = 80; с контурным = 80; балками по периметру здания;

- = 89; межколонныl= 4;и балками в одном (рис. 5.5, а, б) и в двух направлениn= 3;х (рис. 5.5, в, г).

5.10 Плиты перекрытий = 74; колонных КС = 089; балками и в стеновых КС бывают:

- сплошные, пустотные и ребристые, если балки и стены водно = 84; направлениl= 0; (рис. 5.5, а, б);

- сплошные, ке= 089;сонные пустотные и ребристые, если балки и стены в двух направлениn= 3;х (рис. 5.5, в г);

- ребристые с ребрами вверх для устройства = 87;лавающего пола и получения гладкого по = 90;олка, укладки звукоизоляm= 4;ии и инженерны = 93; коммуникац&= #1080;й (рис. 5.5, а).

=

= а - гладкая плита; 6= - плита с капителями=

Рисунок 5.4 - Безбалочныk= 7; перекрытия

=

k= 2;, б - балки и стен= 099; в одном направлениl= 0;; в, г - балки и стен= 099; в двух направлениn= 3;х;

1 - колонны; 2 - балк = 80; или стены; 3 - плит = 72; сплошная ил = 80; пустотная; 4 - плит = 72; сплошная ил = 80; пустотная кессонная;

5 и 6 - ребра и полк= 080; ребристой и кессонной плит

Рисунок 5.5. - Пли&= #1090;ы перекрытий = 74; колонных КС = 089; балками и в стеновых КС

5.11 Ограждающиk= 7; наружные стены бываю = 90;:

- несущие, передающие временную и постоянную нагрузки с этажей и собственныl= 1; вес стены непосредстk= 4;енно на фундамен = 90;;

- самонесущиk= 7;, передающие непосредстk= 4;енно на фундамен = 90; только собственныl= 1; вес стены;

- ненесущие, опирающиесn= 3; в пределах этажа на перекрытия или вертикальнm= 9;е несущие эле = 84;енты КС и непосредстk= 4;енно не передающ = 80;е нагрузку на = 092;ундамент.=

5.12 Конструктиk= 4;ные схемы в стеновых КС определяютl= 9;я взаимным расположенl= 0;ем стен, а в коло&= #1085;ных КС - взаимным расположенl= 0;ем межколонныm= 3; балок (рис. 5.5) относительl= 5;о поперечных = 80; продольных осей здания. Схемы бываю = 90; поперечные, продольные = 80; перекрестнm= 9;е. В реальных монолитных зданиях конструктиk= 4;ные схемы обычн = 86; перекрестнm= 9;е (рис. 5.5, в, г; 6.2, а). Чисто поперечные = 80; продольные схемы (рис. 6.1, б, в) рассматривk= 2;ются при разделении пространстk= 4;енной КС на две независимыk= 7; (рис. 6.1, б, в и 6.2, б, в= ) с целью упрощения расчетов.

(Опечат&= #1082;а, Информациоl= 5;ный бюллетень о нормативноl= 1;, методическ&= #1086;й и типовой проектной документацl= 0;и, № 3 2008 г.)

5.13 Горизонталn= 0;ные нагрузки перераспреk= 6;еляются дисками перекрытий между защемленныl= 4;и в фундамент = 77; вертикальнm= 9;ми опорными консольнымl= 0; конструкциn= 3;ми (устоями) в ви&= #1076;е:

- пространстk= 4;енных рам в колонных КС;

- стен в двух направлениn= 3;х и образуемы = 93; стенами тонкостеннm= 9;х стержней открытого и замкнутого профилей в стеновых КС;

- пространстk= 4;енных рам, стен и тонкостеннm= 9;х стержней в смешанных К = 57;.

У= ;стои в КС воспринимаn= 2;т все горизонталn= 0;ные и вертикальнm= 9;е нагрузки.

5.14 &= #1042; колонных КС стыки пространстk= 4;енных рам-этажеро = 82; считаются жесткими пр = 80; наличии капителей в плитах или вутов в главных балках. Стык= 080; колонн с гладкой плитой или балками являются условно жесткими. После образованиn= 3; в стыках колонн наклонных трещин, их податливосm= 0;ь еще более возрастает. Податливосm= 0;ь стыков учит = 99;вают введением коэффициенm= 0;ов, понижающих изгибную жесткость элементов.

5.15 &= #1042; многоэтажнm= 9;х зданиях наиболее часто приме = 85;яют смешанные колонно-сте = 85;овые КС.

С= ;теновые, особенно перекрестнm= 9;е, КС обладают большей жес = 90;костью и большим сопротивлеl= 5;ием горизонталn= 0;ным и вертикальнm= 9;м нагрузкам и потому боле = 77; подходят дл = 03; высоких зданий.

5.16 Несущие конструктиk= 4;ные системы могут быть регулярнымl= 0;, с одинаковы = 84; шагом колон = 85; и стен по длине, ширин= 077; и высоте здания, или н&#= 1077;регулярным= и в плане и по высоте здания.

5.17 Нерегулярнm= 1;ю несущую конструктиk= 4;ную систему рекомендуеm= 0;ся проектировk= 2;ть таким образом, чтобы центр жесткости и центр масс конструктиk= 4;ной системы был = 80; как можно бл= 080;же к месту расположенl= 0;я равнодейстk= 4;ующей вертикальнl= 6;й нагрузки.

5.18 Несущую конструктиk= 4;ную систему рекомендуеm= 0;ся проектировk= 2;ть таким образом, что= 073;ы вертикальнm= 9;е несущие элементы (колонны, сте&#= 1085;ы) располагалl= 0;сь от фундамента один над другим по высоте здания, т.е. были соосны = 84;и. В тех случаях, когда колонны и ст= 077;ны не выполняютсn= 3; по одной оси, под «висячи = 84;и» колоннами и стенами следует предусматрl= 0;вать устройство ребер жесткости и = 073;алок-стенок= .

5.19 Конструктиk= 4;ную систему зданий рекомендуеm= 0;ся разделять осадочными швами при ра= 079;личной высоте здания, а также в зави= 089;имости от длины здания - температурl= 5;о-усадочным&#= 1080; швами. Требуемые расстояния между темпе = 88;атурно-усад&= #1086;чными швами по длине здани = 03; следует устанавливk= 2;ть расчетом. На &#= 1087;ериод строительсm= 0;ва возможно устройство временных деформациоl= 5;ных швов, которы= 077; потом ликви = 76;ируются.<= /p>

5.20 При проектировk= 2;нии несущих конструктиk= 4;ных систем следует стремиться = 82; простым тех = 85;ическим решениям, в наибольшей степени обеспечиваn= 2;щим прочность и жесткость к = 86;нструктивн&#= 1086;й системы: симметричнm= 9;м в плане и одинаковым по высоте, с регулярным расположенl= 0;ем вертикальнm= 9;х несущих элементов в плане и по высоте, без больших консолей и проемов в плане и по высоте здания и т.п.<= /span>

5.21 Отдельностl= 6;ящие высокие здания рекомендуеm= 0;ся выполнять ширококорпm= 1;сными: круглыми, овальными, квадратнымl= 0; или прямоуг = 86;льными с небольшим соотношениk= 7;м длинной и ко= 088;откой сторон для снижения ветрового давления и затрат на отопление.

5.22 Секции здания разной высоты должны быть = 088;азделены деформациоl= 5;ными швами. Не рекомендуеm= 0;ся устраивать подземный гараж и стил= 086;бат, выступающиk= 7; за пределы площади высокой части здани = 03;.

6 Расчет несущих конструктиk= 4;ных систем<= span style=3D'mso-fareast-font-family:"Times New Roman";font-weight:bold'><= /o:p>

6.1 Расчетная схема<= /o:p>

6.1.1 Расчетная схема здани = 03; включает данные о нагрузках и физическую модель.

6.1.2 Физическая модель здания представляk= 7;т собой трехмерную систему из колонн, стен, плит, балок и их сопряжений, = 072; также данны = 77; о физико-меха = 85;ических свойствах материалов.

6.1.3 Распределеl= 5;ие усилий в пространстk= 4;енно-деформ&#= 1080;руемых системах в значительнl= 6;й степени определяетl= 9;я жесткостныl= 4;и характерисm= 0;иками элементов и их сопряженияl= 4;и, которые зависят как от материал = 72; и его напряж= 077;нного состояния, так и от качества из = 75;отовления и монтажа, наличия дефектов, пр= 077;дыстории загружения, типа конструкциl= 0;, влажности материала, степени повреждениn= 3; (износа), температурm= 9; и других факторов. Влияние эти = 93; факторов пр = 80; проектировk= 2;нии учесть слож = 85;о. Поэтому геометричеl= 9;кие параметры и физические характерисm= 0;ики материалов = 80; конструкциl= 1; в расчетах принимаютсn= 3; заданными.

6.1.4 Расчеты напряженно- = 76;еформирова&#= 1085;ного состояния железобетоl= 5;ных линейных, плоских и об= 098;емных элементов и их сопряжений разработанm= 9; только для нормальных сечений при = 087;ростых воздействиn= 3;х.

Р= ;асчеты по наклонны = 84; и пространстk= 4;енным сечениям с трещинами имеются лиш = 00; для частных случаев, а для сложных воздействиl= 1; и учета многих факторов (см. п. 6.1.3) применяю= 090; различные упрощения.

6.1.5 Сложные пространстk= 4;енные геометричеl= 9;кие схемы упрощают путем замен = 99; реальной ко = 85;струкции условной схемой. Ребристый и = 087;устотный диски перекрытий, так же как и структурноk= 7; покрытие из стержней, заменяются условной анизотропнl= 6;й пластиной постоянной толщины. Колонны и балки аппроксимиl= 8;уются стержнями, приведенныl= 4;и к оси, а плиты и стены - плас&= #1090;инами, приведенныl= 4;и к срединной плоскости.

6.1.6 Применяют континуальl= 5;ые, дискретно-к = 86;нтинуальны&#= 1077; и дискретны = 77; расчетные модели. Наиболее широкое распростраl= 5;ение получили дискретные расчетные модели, осно= 074;анные на математичеl= 9;кой и геометричеl= 9;кой дискретизаm= 4;ии пространстk= 4;енных конструкциl= 1;, рассчитываk= 7;мых методом конечных эл = 77;ментов (МКЭ).

<= /a>6.2 Требования = 82; расчету<= /span><= /o:p>

6.2.1 Расчет несу = 97;их конструктиk= 4;ных систем включает:

- определениk= 7; усилий в элементах конструктиk= 4;ной системы (колоннах, плитах перекрытий = 80; покрытия, фундаментнm= 9;х плитах, стенах, ядра= 093;) и усилий, действующиm= 3; на основани = 03; фундаментоk= 4;;

- определениk= 7; перемещениl= 1; конструктиk= 4;ной системы в целом и отдельных е = 77; элементов, а также ускорений колебания перекрытий верхних этажей;

- расчет на устойчивосm= 0;ь конструктиk= 4;ной системы (устойчивос = 90;ь формы и положения);

- оценку сопротивляk= 7;мости конструктиk= 4;ной системы прогрессирm= 1;ющему разрушению;

- оценку несущей способностl= 0; и деформаци = 80; основания.=

6.2.2 Расчет несущей конструктиk= 4;ной системы, вкл= 102;чающей надземные и подземные конструкциl= 0; и фундамент, следует производитn= 0; для всех последоватk= 7;льных стадий возведения (= 074; случае суще = 89;твенного изменения расчетной ситуации) и для стадии эксплуатацl= 0;и, принимая ра = 89;четные схемы, отвечающие рассматривk= 2;емым стадиям. При этом следуе = 90; учитывать:

- порядок приложения = 80; изменения вертикальнl= 6;й нагрузки и жесткостей элементов в процессе монтажа и эксплуатацl= 0;и;

- образованиk= 7; трещин от температурl= 5;о-усадочных деформаций бетона в процессе твердения и наличие технологичk= 7;ских швов при бет= 086;нировании захватками;

- величину прочности и жесткости бетона в мом= 077;нт освобожденl= 0;я конструкциl= 0; от опалубки = 080; передачи нагрузки от вышележащиm= 3; этажей.

6.2.3 Расчет несущей конструктиk= 4;ной системы в общем случа = 77; следует производитn= 0; в пространс = 90;венной постановке = 89; учетом совместной работы надземных и подземных конструкциl= 1;, фундамента = 80; основания под ним.

6.2.4 Расчет несу = 97;их конструктиk= 4;ных систем производят = 89; использоваl= 5;ием линейных и нелинейных = 78;есткостей железобетоl= 5;ных элементов.

Л= ;инейные жесткости железобетоl= 5;ных элементов определяют как для сплошного упругого тела.

Н= ;елинейные жесткости железобетоl= 5;ных элементов определяют по поперечномm= 1; сечению с учетом возм = 86;жного образованиn= 3; трещин, а также с учетом разв = 80;тия неупругих деформаций = 74; бетоне и арм= 072;туре, отвечающих кратковремk= 7;нному и длительно = 84;у действиям нагрузки.

6.2.5 Значения нелинейных жесткостей железобетоl= 5;ных элементов следует устанавливk= 2;ть в зависимостl= 0; от стадии расчета, требований = 82; расчету и ха= 088;актера напряженно- = 76;еформирова&#= 1085;ного состояния элемента.

Н= ;а первой стадии расчета конструктиk= 4;ной системы, характеризm= 1;емой тем, что армированиk= 7; железобетоl= 5;ных элементов неизвестно, нелинейную работу элементов рекомендуеm= 0;ся учитывать путем понижения и = 93; жесткостей = 89; помощью условных обобщенных коэффициенm= 0;ов.

Н= ;а последующиm= 3; стадиях расчета конструктиk= 4;ной системы, когда известно армированиk= 7; железобетоl= 5;ных элементов, в расчет след = 91;ет вводить уточненные значения жесткостей элементов, определяемm= 9;е с учетом армированиn= 3;, образованиn= 3; трещин и развития неупругих деформаций = 74; бетоне и арматуре согласно указаниям действующиm= 3; нормативныm= 3; документов по проектировk= 2;нию железобетоl= 5;ных конструкциl= 1;.

6.2.6 В результате расчета несущей конструктиk= 4;ной системы должны быть установленm= 9;: в колоннах - значения продольных = 80; поперечных сил, изгибающих моментов, а в необходимыm= 3; случаях - и крутящих моментов; в плоских пли = 90;ах перекрытий, покрытия и фундаментоk= 4; - значения изгибающих = 80; крутящих моментов, по= 087;еречных и продольны = 93; сил; в стенах - значения нормальных = 80; сдвигающих продольных = 89;ил, изгибающих = 80; крутящих моментов и поперечных сил.

О= ;пределение усилий в элементах конструктиk= 4;ной системы следует производитn= 0; от действия расчетных постоянных, длительных = 80; кратковремk= 7;нных нагрузок, особых нагр = 91;зок, а также их расчетных сочетаний.

Н= ;а первой стадии расчета для оценки усил = 80;й в элементах конструктиk= 4;ной системы доп = 91;скается принимать приближеннm= 9;е значения жесткостей элементов, имея в виду, что распределеl= 5;ие усилий в элементах конструктиk= 4;ных систем зави = 89;ит не от величины, а, в основном, от соотношениn= 3; жесткостей этих элементов. Для более точной оценки распределеl= 5;ия усилий в эле= 084;ентах конструктиk= 4;ной системы рекомендуеm= 0;ся принимать уточненные значения жесткостей = 89; понижающимl= 0; коэффициенm= 0;ами. При этом нео= 073;ходимо учитывать существеннl= 6;е снижение жесткостей = 74; изгибаемых плитных эле = 84;ентах (в результат= 077; возможного образованиn= 3; трещин) по сравнению с внецентренl= 5;о сжатыми элементами. = 042; первом приближениl= 0; рекомендуеm= 0;ся принимать модуль упругости материала равным Ев с понижающимl= 0; коэффициенm= 0;ами: 0,6 - для вертикk= 2;льных сжатых элементов; 0,3 - для плит перекрытий (покрытий) с учетом длительносm= 0;и действия нагрузки.

Н= ;а последующиm= 3; стадиях рас = 95;ета жесткости следует определять согласно п. 6.2.5.

6.2.7 = В результате расчета несущей конструктиk= 4;ной системы должны быть установленm= 9; значения вертикальнm= 9;х перемещениl= 1; (прогибов) перекрытий = 80; покрытий, горизонталn= 0;ные перемещениn= 3; конструктиk= 4;ной системы, а также для зданий повышенной этажности - у&#= 1089;корения колебаний перекрытий верхних эта = 78;ей. Величины указанных перемещениl= 1; и ускорения колебаний н = 77; должны превышать д = 86;пустимых значений, установленl= 5;ых соответствm= 1;ющими нормативныl= 4;и документамl= 0;.

О= ;пределение горизонталn= 0;ных перемещениl= 1; конструктиk= 4;ной системы следует производитn= 0; от действия = 088;асчетных (для предельных состояний второй группы*) постоянных, длительных = 80; кратковремk= 7;нных горизонталn= 0;ных и вертикальнm= 9;х нагрузок. Пр= 080; этом на первой стадии расчета рекомендуеm= 0;ся принимать пониженные значения жесткостей элементов конструктиk= 4;ной системы, пос= 082;ольку горизонталn= 0;ные перемещениn= 3; напрямую зависят от жесткостныm= 3; свойств эле = 84;ентов.

______= _________________

* Далее по тексту расчетные значения нагрузки и характерисm= 0;ик материалов, используемm= 9;е для расчета по предельн = 99;м состояниям второй группы, в тех случаях, когда коэффициенm= 0;ы надежности равны единице, названы «нормативнm= 9;ми».

О= ;пределение вертикальнm= 9;х перемещениl= 1; (прогибов) перекрытий = 80; покрытий производят от действия нормативныm= 3; постоянных = 80; длительных вертикальнm= 9;х нагрузок. Пр= 080; этом на первой стадии расч = 77;та рекомендуеm= 0;ся принимать пониженные значения жесткостей элементов конструктиk= 4;ной системы, в частности плит перекр = 99;тий, поскольку вертикальнm= 9;е перемещениn= 3; (прогибы) напрямую зависят от деформациоl= 5;ных свойств пли = 90;.

В первом приближениl= 0; значения понижающих коэффициенm= 0;ов относительl= 5;о начального модуля упругости бетона с учетом длительносm= 0;и действия нагрузки рекомендуеm= 0;ся принимать: для вертикальнm= 9;х несущих эле = 84;ентов - 0,6, а для плит перекрытий (покрытий) - 0,2 при наличии трещин или 0,3 - при отсутствии трещин.

Н= ;а последующиm= 3; стадиях расчета при известном армированиl= 0; следует принимать уточненные жесткости плит с учето= 084; армированиn= 3;, наличия трещин и неупругих деформаций = 74; бетоне и арматуре, определяемm= 9;е согласно действующиl= 4; нормативныl= 4; документам.

У= ;скорения колебаний перекрытий верхних эта = 78;ей здания следует определять при действи = 80; пульсационl= 5;ой составляющk= 7;й ветровой нагрузки.

6.2.8 При расчете на устойчивосm= 0;ь конструктиk= 4;ной системы следует производитn= 0; проверку устойчивосm= 0;и формы конструктиk= 4;ной системы, а та&#= 1082;же устойчивосm= 0;и положения конструктиk= 4;ной системы на опрокидываl= 5;ие и на сдвиг.

Р= ;асчет на устойчивосm= 0;ь конструктиk= 4;ной системы следует производитn= 0; на действие = 088;асчетных постоянных, длительных = 80; кратковремk= 7;нных вертикальнm= 9;х и горизонталn= 0;ных нагрузок.

П= ;ри расчете устойчивосm= 0;и формы конструктиk= 4;ной системы рекомендуеm= 0;ся принимать п = 86;ниженные жесткости элементов конструктиk= 4;ной системы (учитывая нелинейную работу материала), поскольку у = 89;тойчивость конструктиk= 4;ной системы свя = 79;ана с деформативl= 5;остью системы и отдельных элементов. При этом значение понижающих коэффициенm= 0;ов в первом приближениl= 0; рекомендуеm= 0;ся принимать, как указано = 074; пп. 6.2.6, 6.2.7 с учетом того, что устойчивосm= 0;ь конструктиk= 4;ной системы зависит от сопротивлеl= 5;ия в основном внецентренl= 5;о сжатых вертикальнm= 9;х элементов при длительном действии на = 75;рузки и в стадии, приближающk= 7;йся к предельно = 81;. Запас по устойчивосm= 0;и должен быть = 085;е менее чем двукратным.

П= ;ри расчете устойчивосm= 0;и положения конструктиk= 4;ные системы следует рассматривk= 2;ть как жесткое недеформирl= 6;ванное тело. При расчете на опрокидываl= 5;ие удерживающl= 0;й момент от вертикальнl= 6;й нагрузки должен прев = 99;шать опрокидываn= 2;щий момент от горизонталn= 0;ной нагрузки с коэффициенm= 0;ом 1,5. При расчете на сдвиг удерживающk= 2;я горизонталn= 0;ная сила должна превышать действующуn= 2; сдвигающую силу с коэффициенm= 0;ом 1,2. При этом слk= 7;дует учитывать наиболее неблагоприn= 3;тные значения коэффициенm= 0;ов надежности по нагрузке.

6.2.9 Расчет на прогрессирm= 1;ющее разрушение должен обеспечиваm= 0;ь прочность и устойчивосm= 0;ь конструктиk= 4;ной системы в целом при вы= 093;оде из строя одного какого-либо элемента ко = 85;структивно&#= 1081; системы (колонны, участка сте = 85;ы, участка перекрытия) = 080; возможном последующеl= 4; разрушении близлежащиm= 3; элементов. Кроме того, в обоснованнm= 9;х случаях рассматривk= 2;ется расчетная ситуация с выходом из строя части основания под фундаментаl= 4;и (например, в случае образованиn= 3; карстовых провалов).

Р= ;асчет на прогрессирm= 1;ющее разрушение следует про = 80;зводить при действи = 80; нормативныm= 3; вертикальнm= 9;х нагрузок с нормативныl= 4;и значениями сопротивлеl= 5;ия бетона и арматуры, пр= 080;нимая линейные жесткости элементов к = 86;нструктивн&#= 1086;й системы.

6.2.10 Оценку несу = 97;ей способностl= 0; и деформаци = 80; основания следует производитn= 0; согласно соответствm= 1;ющим нормативныl= 4; документам по усилиям, действующиl= 4; на основани = 77;, найденным п = 88;и расчете конструктиk= 4;ной системы зда = 85;ия.

6.2.11 Расчет перекосов вертикальнm= 9;х ячеек от нер= 072;вномерных вертикальнm= 9;х деформаций соседних не = 89;ущих конструкциl= 1; (стен и колонн) следует производитn= 0; с учетом фактическоk= 5;о порядка возведения здания, а также времени и дл= 080;тельности приложения нагрузок дл = 03; учета нелинейных деформаций = 74; железобетоl= 5;ных конструкциn= 3;х.

6.3 Методы расчета<= /a><= /o:p>

6.3.1 Пространстk= 4;енная конструктиk= 4;ная система является статически неопределиl= 4;ой системой. Дл= 103; расчета несущих конструктиk= 4;ных систем рекомендуеm= 0;ся использоваm= 0;ь дискретные расчетные модели, рассчитываk= 7;мые методом конечных элементов.

Р= ;асчет регулярных (или близких к ним) колонных и стеновых КС можно производитn= 0; методом зам = 77;няющих (эквивалент = 85;ых) рам (рис. 6.1), а стеновых КС - путем разложения на поперечную = 80; продольную схемы (рис. 6.2).

Д= ;ля оценки максимальнl= 6;й несущей способностl= 0; перекрытий может быть использоваl= 5; расчет методом пре = 76;ельного равновесия.

=

k= 2; - общая схема; 6= - поперечная схема; &= #1074; - продольная схема;

1, 4= и 2, 3 - две крайние и дв= 077; средние поперечные рамы; 5= , 7 и 6 - две крайние и средняя продольные рамы; l1, l2, l3 - шаги поперечных рам; b1, b2 - шаги продольных рам

Рисунок 6.1 - &= #1055;лан типового этажа здани = 03; с регулярно = 81; колонной КС

=

k= 2; - общая схема; &= #1073; - поперечная схема; &= #1074; - продольная схема;

1, 2= - наружные и внутренние поперечные стены; 3= , 4 - наружные и внутренние продольные стены; 5= - участки примыкающиm= 3; стен перпен = 76;икулярного направлениn= 3;

Рисунок 6.2 - К расчету стеновой конструктиk= 4;ной системы

6.3.2 Дискретизаm= 4;ию конструктиk= 4;ных систем прои = 79;водят с применениеl= 4; оболочечныm= 3;, стержневых = 80; объемных (если это необходимо) конечных элементов, используемm= 9;х в принятой р= 072;счетной программе.

П= ;ри создании пространстk= 4;енной модели конс = 90;руктивной системы необходимо учитывать характер совместной работы стержневых, оболочечныm= 3; и объемных конечных элементов, связанный с различным количествоl= 4; степеней свободы для каждого из указанных элементов.

6.3.3 Деформативl= 5;ые свойства основания следует учитывать путем использоваl= 5;ия общепринятm= 9;х расчетных моделей основания, применения различных типов конечных элементов или краевых условий с заданной податливосm= 0;ью, моделироваl= 5;ия всего массива гру = 85;та под зданием из объемных конечных элементов, либо комплексно - с использоваl= 5;ием всех вышеперечиl= 9;ленных методов в случае слож = 85;ой совместной работы конструкциl= 0; фундамента = 80; основания.

Н= ;а первой стадии расчета конструктиk= 4;ной системы допускаетсn= 3; деформативl= 5;ость основания учитывать с помощью коэффициенm= 0;а постели, принимаемоk= 5;о по усреднен = 85;ым характерисm= 0;икам грунтов.

П= ;ри использоваl= 5;ии свайных или свайно-плит = 85;ых фундаментоk= 4; сваи следуе = 90; моделироваm= 0;ь как железобетоl= 5;ные конструкциl= 0; или учитыва = 90;ь их совместную работу с грунтом обобщенно, как единое основание с использоваl= 5;ием приведенноk= 5;о коэффициенm= 0;а постели основания.

6.3.4 При отсутствии данных о порядке и времени приложения постоянных = 80; длительно действующиm= 3; нагрузок допускаетсn= 3; проверять п = 88;очность, трещиностоl= 1;кость и деформаци = 80; несущей КС с обязательнm= 9;м учетом деформативl= 5;ости основания при двух крайних случаях:

1) наиболее опасном поэтажном приложении = 85;агрузки и изменении жесткостей = 74; процессе монтажа;

2) одновременl= 5;ом приложении всей нагрузки на всех этажах.

6.3.5 При построении конечно-эле = 84;ентной расчетной модели размеры и конфигурацl= 0;ю конечных элементов следует задавать, исходя из возможностk= 7;й применяемыm= 3; конкретных = 88;асчетных программ, и принимать такими, чтоб= 099; была обеспечена необходимаn= 3; точность оп = 88;еделения усилий подлине колонн и по площади пли = 90; перекрытий, фундаментоk= 4; и стен с учетом обще = 75;о числа конечных элементов в расчетной с = 93;еме, влияющего н = 72; продолжитеl= 3;ьность расчета.

6.3.6 Жесткости конечных элементов н = 72; первоначалn= 0;ной стадии расчета конструктиk= 4;ной системы, когда армированиk= 7; конструкциl= 1; еще не известно, следует определять = 89; учетом рекомендацl= 0;й разд. 6.2.

П= ;осле определениn= 3; арматуры в плитах пере = 82;рытий и покрытий следует произвести дополнителn= 0;ный расчет конструктиk= 4;ной системы для уточнения прогибов этих конструкциl= 1;, принимая ут = 86;чненные значения изгибных жесткостей конечных элементов плит с учето= 084; армированиn= 3; в двух направлениn= 3;х согласно действующиl= 4; нормативныl= 4; документам.

А= ;налогичный дополнителn= 0;ный расчет следует выполнить для более точной оценки изгибающих моментов в элементах п = 77;рекрытий, покрытий и фундаментнm= 9;х плитах, а также продольных сил в стенах и колоннах с учетом нелинейной работы арматуры и б= 077;тона вплоть до предельных значений.

6.3.7 Расчет конструктиk= 4;ных систем методом конечных элементов следует производитn= 0; с использов = 72;нием специальныm= 3; сертифицирl= 6;ванных в России компьютернm= 9;х программ, согласованl= 5;ых с НИИЖБ: Лира, Мономах, STARK-ES и других.

6.3.8 Расчет регулярной колонной конструктиk= 4;ной системы методом заменяющих (эквивалент = 85;ых) рам производят путем выделения отдельных рам вертикальнm= 9;ми сечениями, проходящимl= 0; по середине шага колонн, в двух взаимно пер = 87;ендикулярн&#= 1099;х направлениn= 3;х (рис. 6.1).

Р= ;асчет выделенных = 74; каждом направлениl= 0; рам, состоящих и = 79; колонн и полос плоской пли = 90;ы (условного ригеля), следует производитn= 0; независимо друг от друг= 072; по общим правилам строительнl= 6;й механики на действие вертикальнm= 9;х и горизонта = 83;ьных нагрузок, принимая пр = 80; определениl= 0; усилий линейные жесткости элементов рам.

И= ;згибающие моменты и поперечные силы в опорн= 099;х и пролетных сечениях условного ригеля распределяn= 2;т между его надколонныl= 4;и и межколонныl= 4;и полосами в зависимостl= 0; от располож = 77;ния колонн в рам= 077; (крайняя или промежуточl= 5;ая колонна) и соотношениn= 3; между попер = 77;чными и продольнымl= 0; (вдоль оси рамы) пролет= 072;ми.

Р= ;асчет конструктиk= 4;ных систем методом зам = 77;няющих рам следует производитn= 0; по специаль = 85;ым рекомендацl= 0;ям, согласованl= 5;ым с НИИЖБ.

6.3.9 Расчет стеновой КС (р&= #1080;с. 6.2, а) н&#= 1072; горизонталn= 0;ные нагрузки можно выпол = 85;ять методом разделения перекрестнl= 6;й КС на независимыk= 7; поперечную (р&= #1080;с. 6.2, б) и продольную схемы (рис. 6.2, в).

Г= ;оризонталь = 85;ые нагрузки принимают действующиl= 4;и в обоих направлениn= 3;х. При допущен = 80;и абсолютной жесткости плит перекрытий = 74; своей плоск = 86;сти горизонталn= 0;ные перемещениn= 3; и углы наклона все = 93; несущих сте = 85; будут одина = 82;овыми при симметричнm= 9;х в плане схемах и наг= 088;узках. Поэтому можно принять все стены одног = 86; направлениn= 3;, расположенl= 5;ые в одной плоскости, соединенныl= 4;и последоватk= 7;льно друг с друго= 084; в уровне перекрытий шарнирными связями, абсолютно жесткими вдоль своей оси. При несу&#= 1097;их монолитных наружных стенах след = 91;ет учитывать участки примыкающиm= 3; стен перпен = 76;икулярного направлениn= 3; (р&= #1080;с. 6.2, б, в).

6.3.10 Расчет несущей способностl= 0; перекрытий = 84;етодом предельногl= 6; равновесия следует про = 80;зводить, принимая в качестве критерия равенство работ внешних нагрузок и внутренних сил на возмо= 078;ных перемещениn= 3;х в предельно = 84; равновесии плиты перекрытия = 89; наиболее опасной схе = 84;ой излома, характеризm= 1;ющей ее разрушен = 80;е.

6.3.11 На начально = 81; стадии расчета для ориентировl= 6;чной оценки жесткости принятой конструктиk= 4;ной системы зданий повышенной этажности (п= ;. 5.12) допускаетсn= 3; выполнить расчет системы на у= 089;тойчивость и горизонталn= 0;ные перемещениn= 3; по условной стержневой консольной схеме, включающей только стен = 99; и колонны (с линейными деформациоl= 5;ными характерисm= 0;иками), жестко заделанные = 74; основании и объединеннm= 9;е шарнирно примыкающиl= 4;и к ним жестки= 084;и дисками перекрытий.

7 Несущие железобетоl= 5;ные конструкциl= 0;

7.1 Основными несущими элементами (рис. 5.1-5.5) конструктиk= 4;ной системы являются колонны, стены, плиты перекрытий = 80; покрытий, различные фундаменты, = 074; том числе свайные ростверки и т.п. (см. пп. 5.6-5.11).

7.2 Основными конструктиk= 4;ными параметрамl= 0; колонн являются их высота, размеры поперечногl= 6; сечения, класс бетон = 72; по прочност = 80; на сжатие и содержание продольной арматуры (пр= 086;цент армированиn= 3;), определяемm= 9;е в зависимос = 90;и от высоты здания, нагрузки на перекрытия (= 089; учетом собственноk= 5;о веса перекр = 99;тий) и шага колонн.

П= ;ри проектировk= 2;нии рекомендуеm= 0;ся принимать оптимальныk= 7; конструктиk= 4;ные параметры колонн, устанавливk= 2;емые на основе технико-эко = 85;омического анализа. При этом минимальныl= 1; размер поперечногl= 6; сечения квадратных = 80; круглых колонн (рис. 5.3) рекомендуеm= 0;ся принимать н = 77; менее 30 см, для= ; колонн с вытянутым поперечным сечением - не менее 20 см, класс бетон = 72;, как правило, - не менее В25 и не более В60, процент армированиn= 3; в любом сечении (включая участки с на= 093;лесточным соединениеl= 4; арматуры) - не более 10.

7.3 Конструктиk= 4;ные параметры колонн рекомендуеm= 0;ся принимать одинаковымl= 0; на одном уровне перекрытий.

7.4 &#= 1042; тех случаях, когда технико-эко = 85;омический анализ конструктиk= 4;ных параметров колонн показывает, что требуемое армированиk= 7; превышает максимальнm= 9;е значения, приведенныk= 7; в п. 7.3, рекомендуеm= 0;ся применять сталежелезl= 6;бетонные, в том числе трубобетонl= 5;ые, а также стал= 077;фибробетон&= #1085;ые колонны.

В тех случаях, когда технико-эко = 85;омический анализ конструктиk= 4;ных параметров колонн показывает, что требуемый класс бетон = 72; превышает В60, рекомендуеm= 0;ся применять для колонн высокопрочl= 5;ый бетон классов В80 и выше. Расчет и конструироk= 4;ание сталежелезl= 6;бетонных колонн, колонн с выс= 086;копрочным бетоном выш = 77; класса В80 следует производитn= 0; по специальныl= 4; документам, согласованl= 5;ым с НИИЖБ, а сталефиброk= 3;етонных колонн - по С= 055; 52-104.

7.5 Основными конструктиk= 4;ными параметрамl= 0; стен являются размеры (толщина стен), класс б&= #1077;тона по прочност = 80; на сжатие и содержание вертикальнl= 6;й арматуры (процент армированиn= 3;), определяемm= 9;е в зависимос = 90;и от высоты здания, нагрузки на перекрытия, шага стен.

П= ;ри проектировk= 2;нии рекомендуеm= 0;ся принимать оптимальныk= 7; конструктиk= 4;ные параметры стен, устанавливk= 2;емые на основе технико-эко = 85;омического анализа. При этом размер = 99; поперечногl= 6; сечения (толщину) стен рекоме = 85;дуется принимать н = 77; менее 18 см, класс бетон = 72; - не менее В20, процент армированиn= 3; в любом сечении стены (включая участки с нахлесточнm= 9;м соединениеl= 4; арматуры) - не более 10.

П= ;ри применении высоких процентов армированиn= 3; сечений должны выполнятьсn= 3; указания С= 055; 52-101 п. 8.3.3, при этоl= 4; максимальнk= 2;я крупность заполнителn= 3; в бетонной смеси не должна превышать 10 мм.

7.6 При пролета = 93; до 6-8 м перекрытия рекомендуеm= 0;ся выполнять п = 83;оскими, при больших значениях - плоскими с к= 072;пителями (рис. 5.4, а, б) или межколонныl= 4;и балками и стенами (рис. 5.5, а), а при пролета = 93; до 12 м - с межколонныl= 4;и балками или стенами и ребристыми, = 080; пустотными плитами (рис. 5.5, а, б).

Д= ;ля зальных помещений пролетом 12-15 м рекомендуюm= 0;ся кессонные, ребристые или пустотн = 99;е плиты при опирании по четырем сторонам на балки и стен= 099; (рис. 5.5, в, г).

7.7 Основными конструктиk= 4;ными параметрамl= 0; плоских плит перекрытий являются размеры поперечногl= 6; сечения (толщина плиты), класс бетона по прочности н = 72; сжатие и содержание продольной арматуры, определяемm= 9;е в зависимос = 90;и от нагрузки на перекрытие = 80; длины проле = 90;ов.

П= ;ри проектировk= 2;нии рекомендуеm= 0;ся принимать оптимальныk= 7; конструктиk= 4;ные параметры перекрытий, устанавливk= 2;емые на основе технико-эко = 85;омического анализа. При этом толщин = 91; плоских пли = 90; перекрытий сплошного сечения рекомендуеm= 0;ся принимать н = 77; менее 16 см и не менее 1/30 длины наибольшегl= 6; пролета и не &#= 1073;олее 25 см, класс бетона - не менее В20. Высота пуст = 86;тных, ребристых и кессонных плит приним = 72;ется не менее 25 см и не более 50 см, класс бетон = 72; - не менее В25.

7.8 При пролета = 93; более 7 м рекомендуеm= 0;ся применение дополнителn= 0;ной предваритеl= 3;ьно напряженноl= 1; арматуры из высокопрочl= 5;ых канатов класса К-7 без сцепления с бетоном.

Д= ;ля снижения массы перекрытий желательно применять легкие бетоны, пустотелые вкладыши ил = 80; вкладыши в виде плит и блоков из особо легки = 93; бетонов.

7.9 &#= 1042; плоских плитах перекрытий, на густо арм= 080;рованных участках, вокруг колонн, где действуют максимальнm= 9;е поперечные силы, изгиба= 102;щие и крутящие моменты, для предотвращk= 7;ния продавливаl= 5;ия, упрощения а = 88;мирования и облегчени = 03; бетонироваl= 5;ия рекомендуеm= 0;ся укладка фибробетонk= 2; класса по прочности н = 72; растяжение не менее Bt2.

7.10 Основными конструктиk= 4;ными параметрамl= 0; плоских фундаментнm= 9;х плит являются размеры (толщина плиты), класс бетона по прочности н = 72; сжатие и содержание продольной арматуры, определяемm= 9;е в зависимостl= 0; от реактивногl= 6; давления грунта основания и шага колонн = 080; стен.

П= ;ри проектировk= 2;нии рекомендуеm= 0;ся принимать оптимальныk= 7; конструктиk= 4;ные параметры фундаментнm= 9;х плит, устанавливk= 2;емые на основе технико-эко = 85;омического анализа. При этом толщин = 91; фундаментнm= 9;х плит рекомендуеm= 0;ся принимать н = 77; менее 50 см и не более 200 см, класс бетон = 72; - не менее В20, армированиk= 7; - не менее 0,3 %, а марку по водонепронl= 0;цаемости - не менее W6.

7.11 Ребристые и коробчатые фундаменты состоят из плитных и стеновых эл = 77;ментов и применяютсn= 3; для повышения жесткости здания, а при высоте боле = 77; 2 м и для испол= ьзования подземного пространстk= 4;а в качестве техническиm= 3; этажей.

7.12 Свайные фундаменты состоят из монолитных ростверков = 74; виде общих фундаментнm= 9;х плит, ленточных фундаментнm= 9;х плит под стенами, отдельно стоящих фундаментнm= 9;х плит под колоннами и забивных, буронабивнm= 9;х, буроинъекцl= 0;онных и других свай.

Т= ;ип и расположенl= 0;е свай по полю фундаментнl= 6;й плиты следует выбирать в зависимостl= 0; от конструктиk= 4;ной системы здания, нагрузок, приходящихl= 9;я на сваи и инженерно-г = 77;ологически&#= 1093; условий основания.

Р= ;асчет и конструироk= 4;ание свайных фундаментоk= 4; следует производитn= 0; по специальныl= 4; нормативныl= 4; документам.

7.13 Для обеспечениn= 3; термическоl= 1; трещиностоl= 1;кости массивных фундаментнm= 9;х плит объемо = 84; до 14000 м3 без разбивки на отдельные технологичk= 7;ские блоки рекомендуеm= 0;ся применять метод непре = 88;ывной укладки высокоподвl= 0;жной и самоуплот = 85;яющейся смеси из модифицироk= 4;анных бетонов с низкой экзотермиеl= 1; и содержащи = 77; поликомпонk= 7;нтные модификатоl= 8;ы, разработанl= 5;ые в НИИЖБ.

7.14 Допускаетсn= 3; не делать оклеечную гидроизоляm= 4;ию для фундаментнm= 9;х плит и наружных ст = 77;н подземных этажей при устройстве разработанl= 5;ых в НИИЖБ конструкциl= 1; технологичk= 7;ских и осадочных швов, предотвращk= 2;ющих протечки, и применении бетонов с компенсироk= 4;анной усадкой за счет добавк = 80; РД и маркой по водонепронl= 0;цаемости W12-W16.

7.15 Для несущих элементов конструктиk= 4;ных систем зданий высотой более 75 м следует учитывать требования = 82; конструктиk= 4;ным параметрам, = 088;егламентир&= #1091;емые специальныl= 4;и документамl= 0;.

8 Расчет несущих железобетоl= 5;ных конструкциl= 1;<= /o:p>

8.1 Расчет несущих железобетоl= 5;ных элементов конструктиk= 4;ной системы (колонн, стен, плит перекрытий, покрытий и фундаментоk= 4;) следует производитn= 0; по предельным состояниям двух групп: по несущей способностl= 0; (по прочност= 080; и устойчивосm= 0;и) и по эксплуатацl= 0;онной пригодностl= 0; (по трещиностоl= 1;кости и деформаци = 03;м). При этом расчет на устойчивосm= 0;ь отдельных сжатых элементов (колонн и стен) рекоме= 085;дуется производитn= 0; в рамках расчета по п= 088;очности этих элементов с учетом влияния про = 76;ольного изгиба или в рамках расчета кон = 89;труктивной системы по деформировk= 2;нной схеме, а расчет по деформацияl= 4; элементов - в рамках расчета статически неопределиl= 4;ой конструктиk= 4;ной системы.

8.2 Расчет по прочности к = 86;лонн следует производитn= 0; по нормальн = 99;м сечениям на действие изгибающих моментов и продольных сил и по наклонным сечениям на действие поперечных = 80; продольных сил, получен= 085;ых из расчета конструктиk= 4;ной системы (рис. 8= .1).

=

= Рису = 85;ок 8.1 - Схема усили = 81;, действующиm= 3; на выделенный = 89;тержневой элемент<= /b>

Р= ;асчет по прочност = 80; колонн по нормальным = 89;ечениям рекомендуеm= 0;ся производитn= 0; по предельн = 99;м усилиям или = 089; использоваl= 5;ием деформациоl= 5;ной модели согласно С= 055; 52-101.

В= ;лияние продольногl= 6; изгиба следует учи = 90;ывать умножением изгибающих моментов, полученных из расчета к= 086;нструктивн&= #1086;й системы по недеформирl= 6;ванной схеме, или эксцентрисl= 0;тета продольной силы на коэффициенm= 0;, определяемm= 9;й в зависимос = 90;и от условной критическоl= 1; силы соглас = 85;о С= 055; 52-101.

8.3 Расчет по прочности плоских пли = 90; перекрытий, покрытий и фундаментнm= 9;х плит следуе = 90; производит&= #1100; как плоских выделенных элементов н = 72; совместное действие изгибающих = 84;оментов в направлениl= 0; взаимно перпендикуl= 3;ярных осей и крутящих моментов, приложенныm= 3; по боковым сторонам плоского выделенногl= 6; элемента, а также на действие продольных = 80; поперечных сил, приложенныm= 3; по боковым с= 090;оронам плоского элемента, полученных = 80;з статическоk= 5;о расчета несущей конструктиk= 4;ной системы методом конечных элементов (рис. 8.2).

=

= Рису = 85;ок 8.2 - Схема усили = 81;, действующиm= 3; на выделенный = 87;лоский элемент единичной ширины

К= ;роме того, при опирании плоских пли = 90; на колонны следует производитn= 0; расчет плит на продавливаl= 5;ие на действие сосредоточk= 7;нных нормальных сил и моментов согласно С= 055; 52-101. При применении сталефиброk= 3;етона расчет прои = 79;водится по С= 055; 52-104.

8.4 Расчет по прочности плоских пли = 90; в общем случ= 072;е рекомендуеm= 0;ся производитn= 0; путем разде = 83;ения плоского элемента на отдельные слои сжатог = 86; бетона, растянутой = 80; сжатой арма = 90;уры и расчета каждого сло = 03; отдельно на действие нормальных = 80; сдвигающих сил в этом слое, полученных от действия изгибающих = 80; крутящих моментов и нормальных сил (рис. 8.3).

=

= Рису = 85;ок 8.3 - Схема усилий, действующиm= 3; в бетонном и арматурном слоях выделенногl= 6; плоского элемента плиты (усили= 103; на противополl= 6;жных сторонах условно не показаны)

Р= ;асчет плоских эле = 84;ентов плит может также производитn= 0;ся без разделения на слои бетона и растянутой арматуры на совместное действие изгибающих = 80; крутящих моментов из условий, осн= 086;ванных на обобщенных уравнениях предельногl= 6; равновесия:

<= font size=3D3 face=3D"Times New Roman">         &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p; (8.1)

<= font size=3D3 face=3D"Times New Roman">         &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;  (8.2)

<= font size=3D3 face=3D"Times New Roman">         &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;  (8.3)

<= font size=3D3 face=3D"Times New Roman">         &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;             = (8.4)

г= ;де Мх, = М= y, Mxy - изгибающие = 80; крутящие моменты, действующиk= 7; на выделенный плоский элемент;

Мх,ult= , Мy,<= sub>ult= , Mxy,ult= - предельные изгибающие = 80; крутящие моменты, воспринимаk= 7;мые плоским выделенным элементом.

З= ;начения предельных изгибающих моментов Мх,ult= и Мy,<= /sub>ult= следует опр = 77;делять из расчета нормальных сечений, пер= 087;ендикулярн&= #1099;х осям Х и Y, плоского выделенногl= 6; элемента с продольной арматурой, параллельнl= 6;й осям Х и Y, согласно С= 055; 52-101.

З= ;начения предельных крутящих моментов сл = 77;дует определять по бетону Mbxy= ,ult= и пl= 6; растянутой продольной арматуре Msxy,ult= по формулам:

Mbx= y,ult =3D 0,1rbb2h, &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;         (8.5)<= /span>

г= ;де b и h - соответствk= 7;нно меньший и больший размеры плоского выделенногl= 6; элемента;

<= i>Msxy,ult =3D 0,5rs(Asx + Asy) h0,             =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            = (8.6)

г= ;де Asx и Asy - площади сечения продольной арматуры в н= 072;правлении X и Y;

h0 - рабочая высота поперечногl= 6; сечения плиты.

Д= ;опускается применять и другие методы расч = 77;та по прочност = 80; плоского выделенногl= 6; элемента, полученные на основе равновесия внешних усилий, действующиm= 3; по боковым с= 090;оронам выделенногl= 6; элемента и внутренних главных усилий в диагональнl= 6;м сечении плоского выделенногl= 6; элемента.

П= ;ри действии на выделенный плоский элемент пли = 90; также продольной силы расчет следует производитn= 0; как для выделенногl= 6; плоского элемента стен.

(Опечат&= #1082;а, Информациоl= 5;ный бюллетень о нормативноl= 1;, методическ&= #1086;й и типовой проектной документацl= 0;и, № 3 2008 г.)

8.5 Расчет плос = 82;ого выделенногl= 6; элемента на действие поперечных сил следует производитn= 0; из условия:

<= font size=3D3 face=3D"Times New Roman">  =         &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;       (8.7)

г= ;де Qx и Qy - поперечные силы, действующиk= 7; по боковым с= 090;оронам плоского выделенногl= 6; элемента;

Qх,ult &#= 1080; Qy,<= sub>ult= - предельные поперечные силы, воспринимаk= 7;мые плоским выделенным элементом.

З= ;начения предельных поперечных сил определ = 03;ют по формуле:

<= i>Qult =3D Qb + Qsw,         &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;          (8.8)<= /o:p>

г= ;де Qb и Qsw - предельные поперечные силы, воспринимаk= 7;мые соответствk= 7;нно бетоном и поперечной арматурой и определяемm= 9;е по формулам:

<= i>Qb =3D 0,5rbtbh0;         &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;           (8.9)=

<= i>Qsw =3D qsw h0,    = ;            &n= bsp;            = ;            &n= bsp;            = ;            &n= bsp;            = ;            &n= bsp;            = ;        (8.10)=

г= ;де qsw - интенсивноl= 9;ть поперечногl= 6; армированиn= 3;, определяем&= #1072;я по С= 055; 52-101.

8.6 Расчет по прочности стен в общем случае след = 91;ет производитn= 0; как плоских выделенных = 01;лементов на совместное действие нормальных сил, изгибающих моментов, крутящих мо = 84;ентов, сдвигающих сил, поперечных сил, приложе= 085;ных по боковым сторонам плоского вы = 76;еленного элемента и полученных из расчета конструктиk= 4;ной системы методом конечных элементов (рис. 8.4).

=

= Рису = 85;ок 8.4 - Схема усилий, действующиm= 3; на выделенный = 87;лоский элемент единичной ширины стен = 99; (усилия на противополl= 6;жных сторонах условно не показаны)

8.7 Расчет стен = 074; общем случа = 77; рекомендуеm= 0;ся производитn= 0; путем разделения плоского элемента на отдельные слои сжатог = 86; бетона и растянутой = 80; сжатой арматуры и расчета каждого сло = 03; отдельно на действие нормальных = 80; сдвигающих сил в этом слое, полученных от действия изгибающих = 80; крутящих моментов, общих нормальных = 80; сдвигающих сил.

Д= ;опускается производитn= 0; расчет без разделения на слои бетона и растянутой арматуры отдельно из плоскости стены на совместное действие изгибающих моментов, крутящих моментов и нормальных сил и в плоскости стены на совместное действие нормальных = 80; сдвигающих сил.

Р= ;асчет стены в свое= 081; плоскости рекомендуеm= 0;ся производитn= 0; из условий, основанных = 85;а обобщенных уравнениях предельногl= 6; равновесия:

<= font size=3D3 face=3D"Times New Roman">         &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;     (8.11)

<= font size=3D3 face=3D"Times New Roman">         &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;   (8.12)

<= font size=3D3 face=3D"Times New Roman">         &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;   (8.13)

<= font size=3D3 face=3D"Times New Roman">         &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp; (8.14)

г= ;де Nх, Ny, Nxy - нормальные и сдвигающи = 77; силы, действующиk= 7; по боковым сторонам плоского выделенногl= 6; элемента;

Nх,= ult= , N= y,ult= , N= xy,ult= - предельные нормальные = 80; сдвигающие силы, воспри= 085;имаемые плоским выделенным элементом.

З= ;начения предельных нормальных сил Nх,ult= и Ny,ult= следует определять из расчета нормальных сечений, перпендикуl= 3;ярных осям X<= /i> и Y, плоского выделенногl= 6; элемента с вертикальнl= 6;й и горизонталn= 0;ной арматурой, параллельнl= 6;й осям X<= /i> и Y, согласно С= 055; 52-101.

З= ;начения предельных сдвигающих сил следует определять по бетону Nbxy,ult= и пl= 6; арматуре Nsxy,ult= по формулам:

<= i>Nbxy,ult =3D 0,3RbAb,        &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;            &= nbsp;           &nbs= p;         (8.15)=

г= ;де Ab - рабочая площадь поп = 77;речного сечения бетона выделенногl= 6; элемента.

<= i>Nsxy,ult =3D0,5Rs Rb(Asx + Asy),            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =    (8.16)

г= ;де Asx и Asy - площадь сечения арматуры в направлениl= 0; осей X<= /i> и Y в выделенном элементе.

Р= ;асчет из плоскост = 80; стены производят аналогично расчету плоских пли = 90; перекрытий, = 086;пределяя значения предельных изгибающих моментов с учетом влияния нормальных = 89;ил.

Д= ;опускается применять и другие методы расч = 77;та по прочност = 80; плоского выделенногl= 6; элемента, полученные на основе равновесия внешних усилий, действующиm= 3; по боковым с= 090;оронам выделенногl= 6; элемента, и внутренних усилий в гла= 074;ном диагональнl= 6;м сечении выделенногl= 6; элемента.

8.8 Расчет по прочности плоских выделенных = 01;лементов стен на действие поперечных сил следует производитn= 0; аналогично расчету пли = 90;, но с учетом влияния продольных сил.

8.9 Расчет по трещиностоl= 1;кости плит (по обра&#= 1079;ованию и раскрытию трещин, нормальных = 82; продольной оси элемент = 72;) следует производитn= 0; на действие изгибающих моментов (бе= 079; учета крутящих моментов) согласно С= 055; 52-101.

8.10. При использоваl= 5;ии в расчетах объемных ко = 85;ечных элементов (например, в толстых фун = 76;аментных плитах) растягиваюm= 7;ие усилия должны быть восприняты продольной, = 087;оперечной или фиброво = 81; арматурой, а сжимающие усилия - бетоном.

9 Конструироk= 4;ание основных несущих железобетоl= 5;ных конструкциl= 1; монолитных зданий<= span style=3D'mso-fareast-font-family:"Times New Roman";font-weight:bold'><= /o:p>

9.1 При конструироk= 4;ании основных несущих эле = 84;ентов конструктиk= 4;ной системы (колонн, стен, плит перекрытий = 80; покрытий, фундаментнm= 9;х плит) следуе= 090; соблюдать о = 73;щие требования по конструироk= 4;анию железобетоl= 5;ных конструкциl= 1; согласно С= 055; 52-101, а также рекомендацl= 0;и раздел= а 7 настоящего СП.

9.2 Колонны армируют продольной, как правило, симметричнl= 6;й арматурой, расположенl= 5;ой по контуру поперечногl= 6; сечения и, в необходимыm= 3; случаях, внутри попе = 88;ечного сечения, и поперечной арматурой п = 86; высоте колонны, охватывающk= 7;й все продоль = 85;ые стержни и расположенl= 5;ой по контуру и внутри поперечногl= 6; сечения.

К= ;онструкцию поперечной арматуры в пределах поперечногl= 6; сечения и максимальнm= 9;е расстояния между хомут = 72;ми и связями по высоте колонны следует принимать такими, чтоб= 099; предотвратl= 0;ть выпучиваниk= 7; сжатых продольных стержней и обеспечить равномерноk= 7; восприятие поперечных сил по высот= 077; колонны.

9.3 Стены рекомендуеm= 0;ся армировать, как правило, вертикальнl= 6;й и горизонта = 83;ьной арматурой, расположенl= 5;ой симметричнl= 6; у боковых сторон стен = 99;, и поперечны = 84;и связями, соединяющиl= 4;и вертикальнm= 1;ю и горизонталn= 0;ную арматуру, расположенl= 5;ую у противополl= 6;жных боковых сторон стен = 99;.

М= ;аксимально = 77; расстояние между вертикальнm= 9;ми и горизонта = 83;ьными стержнями, а также максимальнl= 6;е расстояние между поперечнымl= 0; связями сле = 76;ует принимать такими, чтоб= 099; предотвратl= 0;ть выпучиваниk= 7; вертикальнm= 9;х сжатых стер = 78;ней и обеспечит = 00; равномерноk= 7; восприятие усилий, дейс= 090;вующих в стене.

9.4 На торцевых участках стены по ее высоте след = 91;ет устанавливk= 2;ть поперечную арматуру в виде П-образных или замкнутых хомутов, соз= 076;ающих требуемую анкеровку концевых уч = 72;стков горизонталn= 0;ных стержней и предохраняn= 2;щих от выпучиваниn= 3; торцевые сж = 72;тые вертикальнm= 9;е стержни сте = 85;.

9.5 Сопряжения стен в места= 093; их пересечениn= 3; следует армировать по всей высоте стен пересекающl= 0;мися П-образными или гнутыми хомутами, обеспечиваn= 2;щими восприятие концентрирl= 6;ванных горизонталn= 0;ных усилий в соп= 088;яжениях стен, а также предохраняn= 2;щими вертикальнm= 9;е сжатые стержни в сопряженияm= 3; от выпучиваниn= 3; и обеспечиваn= 2;щими анкеровку концевых уч = 72;стков горизонталn= 0;ных стержней.

9.6 Армированиk= 7; пилонов, занимающих по своим геометричеl= 9;ким характерисm= 0;икам промежуточl= 5;ое положение между стена = 84;и и колоннами, производят как для коло= 085;н или как для стен в зависимостl= 0; от соотноше = 85;ия длины и ширины поперечногl= 6; сечения пилонов.

9.7 Количество вертикальнl= 6;й и горизонталn= 0;ной арматуры в стене следует устанавливk= 2;ть в соответствl= 0;и с действующиl= 4;и в стене усилиями. Пр= 080; этом рекомендуеm= 0;ся предусматрl= 0;вать равномерноk= 7; армированиk= 7; по площади стены с увеличениеl= 4; армированиn= 3; у торцов стены и у проемов.

9.8 Армированиk= 7; плоских пли = 90; следует осуществляm= 0;ь продольной арматурой в двух направ = 83;ениях, располагаеl= 4;ой у нижней и верхней граней плит = 99;, а в необходи= 084;ых случаях (согласно расчету) и поперечной = 72;рматурой, располагаеl= 4;ой у колонн, стен и по площади плиты.

9.9 На концевых участках плоских пли = 90; следует устанавливk= 2;ть поперечную арматуру в в= 080;де П-образных хомутов, рас= 087;оложенных по краю плиты, обеспечиваn= 2;щих восприятие крутящих моментов у края плиты и необходимуn= 2; анкеровку концевых участков продольной арматуры.

9.10 Количество верхней и нижней продольной = 72;рматуры в плите перекрытий (покрытия) следует устанавливk= 2;ть в соответст = 74;ии с действующиl= 4;и усилиями. Пр= 080; этом рекомендуеm= 0;ся для нерегулярнm= 9;х конструктиk= 4;ных систем с целью упрощения армированиn= 3; устанавливk= 2;ть: нижнюю арматуру од = 80;наковой по всей площади рассматривk= 2;емой конструкциl= 0; в соответствl= 0;и с максималь = 85;ыми значениями = 91;силий в пролете плиты; основную верхнюю арм = 72;туру принимать такой же, как и нижнюю, а у к= олонн и стен устанавливk= 2;ть дополнителn= 0;ную верхнюю арматуру, которая в сумме с осно= 074;ной должна воспринимаm= 0;ь опорные усилия в плите. Для регулярных конструктиk= 4;ных систем прод = 86;льную арматуру рекомендуеm= 0;ся устанавливk= 2;ть по надколонныl= 4; и межколонныl= 4; полосам в двух взаимн = 86; перпендикуl= 3;ярных направлениn= 3;х в соответствl= 0;и с действующ = 80;ми в этих полосах усилиями.

Д= ;ля сокращения расхода арматуры можно также рекомендовk= 2;ть установку п = 86; всей площади плиты нижне = 81; и верхней арматуры, отвечающей минимальноl= 4;у проценту ар = 84;ирования, а на участках, гд= 077; действующиk= 7; усилия превышают усилия, воспринимаk= 7;мые этой арматурой, устанавливk= 2;ть дополнителn= 0;ную арматуру, в сумме с вышеуказанl= 5;ой арматурой, воспринимаn= 2;щей действующиk= 7; на этих участках усилия. Тако= 081; подход приводит к более сложн = 86;му армированиn= 2; перекрытий, требующему более тщательногl= 6; контроля арматурных = 88;абот.

А= ;рмирование фундаментнm= 9;х плит следуе = 90; производитn= 0; аналогичныl= 4; образом.

9.11 &= #1042; толстых фун = 76;аментных плитах помимо продольной арматуры, устанавливk= 2;емой у верхней и нижней гран = 77;й плиты, следует предусматрl= 0;вать продольную арматуру, располагаеl= 4;ую в средней зоне по толщине плиты.

Д= ;ля предотвращk= 7;ния продавливаl= 5;ия плиты возле колонн и сте= 085; в плиты реко= 084;ендуется дополнителn= 0;но укладывать = 74; качестве одного из возможных способов ст = 72;лефибробет&#= 1086;н по С= 055; 52-104.

9.12 Для сталебетонl= 5;ых конструкциl= 1; в качестве жесткой арматуры следует при = 84;енять прокатные стальные профили и др= 091;гие элементы, марки стали которых принимать согласно СниП II= -23.

9.13 Для снижени = 03; расхода стали и облегчения = 73;етонирован&#= 1080;я в колоннах, балках и фундаментнm= 9;х плитах вместо стыковки стержневой арматуры диаметром 20 м&= #1084; и более путе= 084; перепуска рекомендуеm= 0;ся ее стыковат = 00; в торец с помощью ванной свар = 82;и или обжимны = 93; муфт.

Приложени = 77; А

Основные буквенные обозначениn= 3;<= /o:p>

Усилия от внешних нагрузок в сечении эле = 84;ента

N, Nх, Ny - продольная сила;

Nxy - сдвигающая сила;

Mх<= /i>, My - изгибающий момент;

Mxy - крутящий момент;

Qx, Qy - поперечная сила.

Характери&= #1089;тики материалов=

Rb - расчетное сопротивлеl= 5;ие бетона осевому сжа = 90;ию;

Rbt - расчетное сопротивлеl= 5;ие бетона осевому рас = 90;яжению;

Rs - расчетное сопротивлеl= 5;ие арматуры.

Приложени = 77; Б

Перечень нормативноl= 1; и техническоl= 1; документацl= 0;и<= /o:p>

СНиП 2.01.07-85*

Нагру&#= 1079;ки и воздействи= 103;

СНиП 2.02.01-83*

Осн= ;ования зданий и сооружений=

С= 053;иП 2.03.11-85*

Защита строительн= 099;х конструкци= 081; от коррозии=

СНи= 055; 21-01-97*

Пожарная безопаснос= 090;ь зданий и сооружений=

СНиП 31-01-2003

Зда= ;ния жилые много&#= 1082;вартирные= =

СниП II-7-81*= =

Стр= ;оительство в сейсмическ= 080;х районах

= 057;ниП II-23-81*=

Ста= ;льные конструкци= 080;=

ГОС&= #1058; 22690-88

Бетоны. Определени= 077; прочности механическ= 080;ми методами неразрушаю= 097;его контроля=

СТО 36554501-005-2006

Применени&= #1077; арматуры класса А500 СП = 74; железобето= 085;ных конструкци= 103;х

СТО 36554501-006-2006

Правила по обеспечени= 102; огнестойко= 089;ти и огнесохра&#= 1085;ности железобето= 085;ных конструкци= 081;

ТУ 14-1-5500-2004=

Прокат свариваемы= 081; периодичес= 082;ого профиля номинальны= 084; диаметром 5,5 мм для армировани= 103; железобето= 085;ных конструкци= 081;=

ТУ 14-1-5501-2004=

Прокат свариваемы= 081; периодичес= 082;ого профиля в мотках для армировани= 103; железобето= 085;ных конструкци= 081;=

<= font size=3D3 face=3D"Times New Roman">Ключевы&= #1077; слова: кон= структивнаn= 3; система, расчет несущих кон = 89;труктивных систем, расчет несущих жел = 77;зобетонных конструкциl= 1;, конструироk= 4;ание основных несущих железобетоl= 5;ных конструкциl= 1;

Тек = 89;т соответствm= 1;ет официальноl= 4;у изданию ФГУ = 55; ЦПП

 






 

------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/themedata.thmx Content-Transfer-Encoding: base64 Content-Type: application/vnd.ms-officetheme UEsDBBQABgAIAAAAIQCCirwT+gAAABwCAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbKyRy2rDMBBF 94X+g9C22HK6KKXYzqJJd30s0g8Y5LEtao+ENAnJ33fsuFC6CC10IxBizpl7Va6P46AOGJPzVOlV XmiFZH3jqKv0++4pu9cqMVADgyes9AmTXtfXV+XuFDApmaZU6Z45PBiTbI8jpNwHJHlpfRyB5Ro7 E8B+QIfmtijujPXESJzxxNB1+SoLRNegeoPILzCKx7Cg8Pv5DCSAmAtYq8czYVqi0hDC4CywRDAH an7oM9+2zmLj7X4UaT6DF9jNBDO/XGD1P+ov5wZb2A+stkfp4lx/xCH9LdtSay6Tc/7Uu5AuGC6X t7Rh5r+tPwEAAP//AwBQSwMEFAAGAAgAAAAhAKXWp+fAAAAANgEAAAsAAABfcmVscy8ucmVsc4SP z2rDMAyH74W9g9F9UdLDGCV2L6WQQy+jfQDhKH9oIhvbG+vbT8cGCrsIhKTv96k9/q6L+eGU5yAW mqoGw+JDP8to4XY9v3+CyYWkpyUIW3hwhqN727VfvFDRozzNMRulSLYwlRIPiNlPvFKuQmTRyRDS SkXbNGIkf6eRcV/XH5ieGeA2TNP1FlLXN2Cuj6jJ/7PDMMyeT8F/ryzlRQRuN5RMaeRioagv41O9 kKhlqtQe0LW4+db9AQAA//8DAFBLAwQUAAYACAAAACEAa3mWFoMAAACKAAAAHAAAAHRoZW1lL3Ro ZW1lL3RoZW1lTWFuYWdlci54bWwMzE0KwyAQQOF9oXeQ2TdjuyhFYrLLrrv2AEOcGkHHoNKf29fl 44M3zt8U1ZtLDVksnAcNimXNLoi38Hwspxuo2kgcxSxs4ccV5ul4GMm0jRPfSchzUX0j1ZCFrbXd INa1K9Uh7yzdXrkkaj2LR1fo0/cp4kXrKyYKAjj9AQAA//8DAFBLAwQUAAYACAAAACEAoLwYxrUG AACDGwAAFgAAAHRoZW1lL3RoZW1lL3RoZW1lMS54bWzsWc9uG0UYvyPxDqO9t7ETO42jOFXs2A20 aaPYLepxvB7vTjO7s5oZJ/WtSo9IIERBHKgEXDggIFKLuLTv4D5DoAiK1Ffgm5ldeyfekKSNoILm EHtnf9//P/PNeOXy3YihXSIk5XHdK18seYjEPu/TOKh7N7vtC0sekgrHfcx4TOreiEjv8uq776zg ZRWSiCCgj+UyrnuhUsny3Jz0YRnLizwhMbwbcBFhBY8imOsLvAd8IzY3XyotzkWYxh6KcQRsx9+M fxo/GR+gG4MB9Ym3mvFvMRASK6kXfCY6mjvJiL5+tj8+GD8dPx4fPLsH35/C58eGtr9T1hRyJJtM oF3M6h6I7vO9LrmrPMSwVPCi7pXMnze3ujKHl1Mipo6hzdG1zV9KlxL0d+aNTBH0JkLL7Urt0vqE vwEwNYtrtVrNVnnCzwCw74PlVpc8z0p7qdzIeOZA9uss72apWqq4+Bz/hRmda41Go1pLdbFMDch+ rczgl0qLlbV5B29AFl+dwVcaa83mooM3IItfnMG3L9UWKy7egEJG450ZtA5ou51yn0AGnG0UwpcA vlRK4VMUZMMk27SIAY/VaXMvwne4aAOBJmRY0RipUUIG2IdEb+KoJyjWAvEywbk3dsmXM0taNpK+ oImqe+8nGIpmyu/lk+9fPnmEDvcfH+7/fHj//uH+j5aRQ7WB4yBP9eLbT/58eA/98eirFw8+K8bL PP7XHz785emnxUAop6k6zz8/+O3xwfMvPvr9uwcF8DWBe3l4l0ZEoutkD23zCAwzXnE1Jz1xNopu iGmeYi0OJI6xllLAv6VCB319hFkaHUePBnE9eEtAOykCXhnecRTuhGKoaIHkq2HkADc5Zw0uCr1w VcvKubk7jINi4WKYx21jvFsku4ljJ76tYQJ9NUtLx/BmSBw1txiOFQ5ITBTS7/gOIQXW3abU8esm 9QWXfKDQbYoamBa6pEt7TjZNiTZoBHEZFdkM8XZ8s3kLNTgrsnqd7LpIqArMCpTvEua48QoeKhwV seziiOUdfg2rsEjJzkj4eVxLKoh0QBhHrT6RsojmhgB7c0G/iqGDFYZ9k40iFykU3SnieQ1znkeu 851miKOkCNuhcZjHvid3IEUx2uKqCL7J3QrRzxAHHB8b7luUOOE+uRvcpIGj0jRB9Juh0LGE1u10 4IjGf9eOGYV+bHPg/NoxNMDnXz4syKw3tRGvwZ5UVAkbR9rvcbijTbfJRZ+++T13HQ/jLQJpPrvx vG25b1uu959vucfV82kb7bS3QtvVc4Mdks3IHJ16Yh5QxjpqxMg1aYZmCftGvw2Lmo85UJLJiSoJ 4Wva5x1cILChQYKrD6gKOyFOYOAue5pJIFPWgUQJl3DwM8uFvDUehnZlj41VfaCw/UFitcn7dnlB L2fnhgkbs/sE5rCaCVrQDE4rbOFSyhTMfhVhZa3UqaWVjWqm9TnSJiZDTGdNg8WJN2EgQTDGgJcX 4UivRcNBBTPS1363e3EWFhOF8wyRDHGfpDHSds/GqGyClOWKuTmA3CmIkT4EnuC1nLSaZvsa0k4T pLy4yjHisui9TpSyDJ5GSdfxkXJkcb44WYz26l6tOl/1kI+TujeAMy58jRKIutQzIGYB3CX5Sti0 P7GYTZVPo1nLDHOLoAzXGNbvMwY7fSARUq1jGdrUMK/SFGCxlmT1n6+CW8/LAJvpr6DFwhIkw7+m BfjRDS0ZDIiv8sHOrWjf2ce0lfKhIqIT9vdQjw3FNobw61QFe/pUwlWF6Qj6Ae7ZtLfNK7c5p0WX v90yOLuOWRLitN3qEs0q2cJNHU90ME859cC2Qt2NcWc3xZT8OZmST+P/mSl6P4Gbg4W+joAPN78C I12vdY8LFXLoQklI/baAQcL0DsgWuKuF15BUcP9sPgXZ1Z+25iwPU9ZwAFTbNECCwn6kQkHIFrQl k30nMCune5dlyVJGJqNy6srEqt0ju4R1dQ9c1Hu7h0JIddNN0jZgcEfzz31OK6gX6CEnX29OD5ns vbYG/unJxxYzGOX2YTPQZP6fqFiwq1p6Q57tvXlD9IvpmFXJqgKE5baCWlr2r6jCGbda27FmLJ6v ZspBFGcthsXJQJTA/Q/S/2D/o8Jn9pcMvaF2+Tb0VgQ/RGhmkDaQ1Rfs4IF0g7SLPRic7KJNJs3K ujYdnbTXss36nCfdidwjztaanSbeZ3T2ZDhzxTm1eJ7OTj3s+NquHetqiOzREoWlQXawMYExv4Ll f6XivTsQ6HW47x8yJU0ywW9OAsPo2TF1AMVvJRrS1b8AAAD//wMAUEsDBBQABgAIAAAAIQAN0ZCf tgAAABsBAAAnAAAAdGhlbWUvdGhlbWUvX3JlbHMvdGhlbWVNYW5hZ2VyLnhtbC5yZWxzhI9NCsIw FIT3gncIb2/TuhCRJt2I0K3UA4TkNQ02PyRR7O0NriwILodhvplpu5edyRNjMt4xaKoaCDrplXGa wW247I5AUhZOidk7ZLBggo5vN+0VZ5FLKE0mJFIoLjGYcg4nSpOc0IpU+YCuOKOPVuQio6ZByLvQ SPd1faDxmwF8xSS9YhB71QAZllCa/7P9OBqJZy8fFl3+UUFz2YUFKKLGzOAjm6pMBMpburrE3wAA AP//AwBQSwECLQAUAAYACAAAACEAgoq8E/oAAAAcAgAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRl bnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQCl1qfnwAAAADYBAAALAAAAAAAAAAAAAAAAACsB AABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQBreZYWgwAAAIoAAAAcAAAAAAAAAAAAAAAAABQC AAB0aGVtZS90aGVtZS90aGVtZU1hbmFnZXIueG1sUEsBAi0AFAAGAAgAAAAhAKC8GMa1BgAAgxsA ABYAAAAAAAAAAAAAAAAA0QIAAHRoZW1lL3RoZW1lL3RoZW1lMS54bWxQSwECLQAUAAYACAAAACEA DdGQn7YAAAAbAQAAJwAAAAAAAAAAAAAAAAC6CQAAdGhlbWUvdGhlbWUvX3JlbHMvdGhlbWVNYW5h Z2VyLnhtbC5yZWxzUEsFBgAAAAAFAAUAXQEAALUKAAAAAA== ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/colorschememapping.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image001.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAABBoAAAFEAQAAAAChG2DSAAAACXBIWXMAABcSAAAXEgFnn9JSAAAN aElEQVR4nO3dS4zkRhkAYM9uRBJA2T0SCTASh3DLIQeyyrJeiQO5ccw1KEIcUchhWTGKJ+xhbowE B4QU8JEr4oQExAMbaRRp2T5yQZoddZQRIDEzadhp024XbZer6q9yPf7qLq87xCXtdo9dbX9dVS7b 9XBHZAtCNDSgDiOChRHBwohgYUSwMCJYGBEsfCIRJ8foqFVviP0JPm7qhzhDbzjGR/VFXOK33B/i FBt9SdDZUaZ+iGtoRPl9NGKWeCGqUzRifopGnN7yQizP0IgCj/jobS9E0QvisPJCLCZ9IB76Io7Q iEmGjfqTXS/ELEN/PQ/Ew11sTIqI0Vsu8gQb9UHhhSgO0Igl/uA/WXghCEnQ8fGnRjLzRKTo+CUe gT/LNAiPr+cRjv0Qy14Q+PCJvLzrJYwIFkYECyOChRHBwhYjMuSnsfHWQsTITx947CnxRVwLj6i8 EU/3gIh9EV9HbhmLXQvxEnLL2Hg14tu+iLd6QHzLjaiiOuTkH7fr17urJYvys+lvP9es/I/p0zc8 EJZbTRnBQnEu/QmSS8RLfxxFN/4bRTt0heY6tUyal5z+MVvefu/v7UYS+b6TI9L6/9lLj+80nzi5 K+0TbFjC7SrYVNr2XFo3e2T6YgIhfbz6nvyVwBr6kszar8dXzFa1kXIfLu4D9w6yLxWr+5DqmPmS EsTdDFGJElwjlJso+Wa0kO+6dQi4bBWwiDsAkbeIpgTW5UFGlDoETTsD4gUcAtRqTUokHLGIN0e8 iET82oSoa3QZodRWdJtWhHxS0CAu6Ou+ETHpIOSzIt29jFAKthMx80YQb4SSf0aEqHRUxHEHEQdA pBLiwoXIOojMFyGHGlFqESI0h2iDmDZ/5x2EHNZCVGgETYnUhQC7XRfRaZDaSgRZB2H7gB+iKRPL s2HKRAIR82vHayBsH8ClBEO04QiTHTT0UCbaMMWkxGYIyyHahrk/QjmBdRDHaARr0q4SJ4JBsCmR tbdxDNFpPedlgmdUbG2jrXfIvjkSUSUKwlwweTVx34lgSYVFpO2Vu/sQPWZLCmd2sG+CRPCTuRuR 8U/ddSFYoiERfJ9tvFiDiBsEaAJ43oog4oIBieBFwJkSoBL6kwuR+SF4aXMeouAq7MSFSPwQ/JrT gsiarYIVcweC7xOJyBGIvEGAURDzxI7giYZE8M05EaAFoIjtCH4I4xBirRMBbhYKW8fzapO8tOMQ ou5zInKA6ESC20xFouEQou5jiE5tyBAJQNhK5grB7ytwiGkHYUoJeDYubG2Xqx1mfgjRz+pCwJNW YWvnrECi4RDihtpVT8BsKsh9G0LsEneNGYu3LUJ/Kk/JFCwqiKVklqAu41dWVkSKRsCb2MJ2vVaC RAuNyCSEpWSCkyIOAQ41FwLutbC1wJfgjj4wQirfBZGKiIoQQBTiHI2QNlMQS8ksQc6hEO+jEVJF WvCWZR0ClBcU4l00QlpcizIzIvVDfBGLSKSm/BphHDxVgj1iENVN8N6OkPZZI4wlswTFBYUwt2Oq iExFGE+k4KSoIA6jCHRrzaPoarPO3ISoIhIVYayuSpBzCuKKgmhWX6AR8hDM5lA5KOW+jb0oipsd gpyTERPpQrVoF1/iEDkhN6VFDeL+vINomnbBSdGJqL/aKa5M5GqfWIO4KOTrhKwdBQZrkA4CfEWW EgcaRN3v9FTTjbRzVv3guPr4jTo75N7BBlHe0CPMjSRdRL041yDk/q2oLtC52k1Cq8/n9Qh4CeZK ifrjiQZByE+/+3O65PD2aw/aZXJDPkW8o0fAYxeRHWWqRXRCojbkU8SJHgFOipijoyQ4RK4upoi5 HvGhH6JAI5SaiSJWh4EO8cCG6GbHFIlI1BN3mxLXtAhwZsYUzFN0SmgRqztSHQLWawjEBI0oUmlB i7jQISo4ltlWTyzo4hiNmMqLW8Q81SDgSVG5A9MiEjTiTIuodClRYBE0O1ZrsAVzokVoD9GZFkFa ROcQLbVdkmQBNrxKtEW9LMYjTj1SYrW40CI6546rq+xI8YiJX3YstAg+euN2+3LPD3HshyC2vnIR Oj0/doT2LMrLxJNChEgJd/fTMIgsEOJMc3QQqX0C3xvIEMs1UkKuJ+g+0Re6QRBH5GN438HO+hCR GhFZIETnDiwyIYyNqQjExI541N6Z0FCyMWQ4RKZH8K3QwG9+jAhD2Cg7+kAQX4R7m59yhPbc8X+C yFWEtZt6IwSNh6on+kMQPKL3grkxIkR2YApm39kRY6rtIQrmE0dsnhIhTmDDHqLbhNCMLsqeXHbQ l4GPjlCIAAUz3wbEENkhVhqzY9F7SgBEakD0f3nXQWQDpIR4u00IVJno76KGxuseotuK6PvcsXmZ 2Kie+JQjxNt+D9Grtg+kAkH3k3euJxYBLmrIng0hNl7FzQuq4WyeWrYJk5IjzjUROWJHvD80InJ1 EmtpS10o5AjbiEHySLw9tyEOU2nZO5ZNVuCLcYT1oT0n6lsDQhmLah5bJG+TF0zrBOp99a0JkUrL rFOMwbg81ISCtjSCtwaE/NXh6IRuyLoIW7lEDnvLpRRzbRN25DKEZdCipkgYECDF6mAtEm2HfQ4R 1iIBCu2BDaEUCevU9ynYb4uwDWSVsi+xIeTD3L5NKqwmADGPLfFBhcmOQT1CLhLWCpPl3ClAlJEh ch3OAaKtBPU3xLH8MRuCjeGACFgndj/Qrdy0COWQnNtqbXbknEGE9VQOhOwQ1bVjVsq8clutzb7Y ARrRvSHOtWVCqfGsF7rtsX60AWLzJsR2pVQmhkLMRkS78nITBKbNCoGgux04JWjFue4hqkmJdRA0 DJwdayJoPFTbdu+IYVOCvnRTwrd9opfuJ81t4PanxFYgeulqGKD1bvOUKMF2+x+6YAhzIi40B+uS rLfJNjJomWC3aIP2d7A7uz67GpwFk90nDpod8YaIEAWT36yiEGD2Ysh6gudywK6G3BfB5xQE65Jc IyX4+iE7XTxnU3cQQcoEbwBas5U/yCHKm5OCdUmugYi3ACHatPpEOMqE2OWACFHccTVmLwixesAy 0Z1N3UdKOBBimuSAKSGmScqI5fs7us6XfhCZAXHYTlNt4/Eh070gRGQbYs7GGXfLRLY5AmwUNaGg FwQ4K6ImFPSCAFsYDgF25J54pEV07zu8EZrZ1GgECYXQzKb2zI4AiMyEeJLZAeKuiQhQMMU2AyLO PBHgvQ2x9EJM/RC62dT6lCg9EPO+ENUtPKLuC/RAwO5HR5l4Do+or+BzPEI3m9qA+LMHYt8rJd7F I849EPdURH0ULskfyb++U3/wyu7nX/3q6s1Hr0b13KMvaBB8IjMYb1Cw/m5Ni26nkWRBfqMiOhNb XQ/9NiBovYZD/CE1XvJPyCv0TcyBunrCgKhiPOK92OO+Qzub2vD8ieppPCLf90DoZ1MbEG/iEdnU A6GdTW1KiR+qiJQidG1Wcw+Edja1CfF2rEfohi6USSgEfIxgvc8DPIIc4BHasyhFHH7tm2CUWHPJ P9UjtOMnjmSE96m8RXQmrabnHggw+KYO/imhi/gj8rumusJmB7xkWwuRmmLH2B7iXP9MEhEev/jX 5vXl+tzhh9jHI5Rxa97nDnP7xAl26ELWeWzQXrTTDNKoouifSf1zo8ujt9h+/FJi7tFD/LKMMG3S hDCnxCqj0aMGbiY9IciBR9t21hfiSPesAQNCamwKibjwSAmp+giJKFNMKz/tA5PKd0hEleARUnUV EkH2MWWi7Q2E40KDIqawN9CBkB9XGhBx7jGIA5bMoIjyFkDQeNprzBoBT6RBEfCpkBZE3tz8xH0h wEM6nc8agA94DooAt/GWixqKAKPdwyLmYqWjnpAaP8IiQGlzFUx4dRV4dJG4YnKmBLi6CpwSb7gR vAlRVFeBU+JNFdH9cQA+dEGsCYwQP7jtRogTTejpu4mKsLToxn0hxI8DuBE8buixd3w2DgLBS2bY o6NK50SOZ0PwVWFTokp5deU+REUIXE+kJDmX4tlSgk+lCp0ShHyY4hFFX4hqGxDtDnwQoY8OgSAI RBt6SIkUxrMjZgiE9w9Q+ZaJ9sQSPjsqKd5QZUJ6m1kRJQYBdtjLmJoBETlHLPtCXOYuRMYRv5cs BgR4r0cov5Rbr3yU4BH3giCUIUbGggmwzsoq80UoM4qNCNAQ4EQok3m3AuGuMT9AIsCPbTkR8txe REpgEX/xQCjT7d2Iv7kQOUWADu+iRuQWhPJj2trsSGCMX/kjFl2EfBi/gkDwLoDrq39f3r2+Qx9Y fG0vkh6yucJe/vu142df/1n910Oxwnmhe0NG6LKDSH0Rt3ZXlEN93wQMz+3KfRgyQv4x7bvGX/4m EdGGb+gXw/CVZ/eupzcf3yk/83oUPRNdud1BkD26u2eaf/Uvej+o/3zq6jI9xyBu6Bd3wk1kPCKP c1OCAfEL5JZ/iUeAH9MeDqH88jcC8YF+8drx6vCCcY0BYf3xwzXi1cH8hBIDwvoQDRCsP5KohH3j mm1GmA8nOVgfsaME85NwDAhsuHRH4cH4C0ybInzCmXHNE0SYw4hgYUSwMCJYGBEsjAgWRgQLI4KF EcHCiGBhRLCwFYj/Ab+OyYpGd2WMAAAAAElFTkSuQmCC ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image002.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIf IiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/wAALCADPAqABAREA/8QAHwAAAQUBAQEB AQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1Fh ByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZ WmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXG x8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/9oACAEBAAA/APZqKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKyNT8Qw6 dM0SwSXBjaJZvLZR5fmNtQfMRkk9h/UZc2rOvi2PRvLXY9g10XzyCJFXH/j36Vq0UUUUUUUUUUUU UUUUUUUUUUUVR1nVItF0a81SZGeO0haVlXq2BnFc1Lqc9vZ+I7qa+1A31jYfaDbt5ax24dGZVTaC Cw2kEnPb1rrLKR5rG3lkOXeJWY4xyRzU9FFFFFFFFFFFFFFFFFFFFFFFFc7Z+L4dR8QHS7K0eZI5 pIpJwcBdgG5gMYKhiEznO7tgE1d0LUf7ROpESM6W9/LAu4YI24yPpuzj2xWrRRRRRRRRRRRRRRRR RRRRRRRRRRWPc+GLC6vjdyPcBzdR3ZUSnYZEXaDtPGMAceoyMGpNN0j7NqV5qt0wkvbzapPUQxL9 2NT6dSfUk1qUUUUUUUUUUUUUUUUUUUUUUUUVW1HT7bVdOuNPvE8y3uYzHIoJGQevIrPn8M2lxCbd 2LwT3Hn3gkGWuSPuhmGOBhRjHRQK2aKKKKKKKKKKKKKKKKKKKKKKKKKwofC1nYTvdacWinzJ5PmH clv5jbpCi+pPP4AdK0dK0u20fTorK1XCJyzH70jHlmY9yTkk1coooooooooooooooooooooooooo ooooooooooorC1PxTBpXiOx0ia1lKXcZd7ofch+YIob6swGfUj1rdooooooooooooooooooooooo orD8M+KLbxKl6YY/Ka0uXiCls+YgJCyr/stg4PqCO1blFFFFFFFFFFFFFFFFFFFFFFFFFFY+heJr HX7nUbe1EiS6dctbyJIMFtpxuH+ySGGf9k1sUUUUUUUUUUUUUUUUUUUUyVnSF2jTe6qSq5xuPpXD eEfC2i654WsdTvLa8+03CFpc6jP97cQejgdvStn/AIQDw5/z7XX/AIMLj/45R/wgHhz/AJ9rr/wY XH/xyp4vCOmWyKlpNqNsobJEeoTfN14OWPHOacPC9oYJIZL/AFWVZECnfqEuRgYyMN1PX61UPgHQ 3fdMdQm+Zmw+oz4Ge3D9BTv+EA8Of8+11/4MLj/45R/wgHhz/n2uv/Bhcf8Axyp4/BuhQ2F5ZR2j iK9QJMXnkkfA6YZmJGDyMd+aw/DcOpa7ql+dX1G/U6Z5dmYop2hDyqCXkITGQwKEc9yK6SLw/bRK QbzUpMsWy+oTZGTnH3ugpRoNmHLia/3EAE/b5ug/4H7mqh8F6GXlcxXm6bPmH+0Lj5s9f46szeHL C4j8uaS+dcEYN/P3GD/H6E1VPgvSVEhtpNRtZZDkyw6jPu/ViP071F/whcX/AEMHiH/wZvR/whcX /QweIf8AwZvR/wAIXF/0MHiH/wAGb1Qj0ptC8daPHDqup3KXlvciVLu7aVTsCFcA9PvGuzopAwOc EHBwcdqWiisXxFaPfyabaC+vLRJblg7WkxiZgInbGRz1UVV/4QuL/oYPEP8A4M3o/wCELi/6GDxD /wCDN6P+ELi/6GDxD/4M3rG1Tw9JaeI9DsIvEOveTfPOs2dRcnCRlhg9uRSaloL2firRdNTxDr/k X8dwZP8AiYuTlAhXnt1NdDa+FxZszR67rTlhg+deGQfgGBxTZfCazPI7a9rgMnUJfFQPoAOPwqL/ AIQuL/oYPEP/AIM3qlqun23gq0stb09JBaaXA1vdxgl3lgY5z7srndz2L07SvC76ho9leXfiPXXn nt45JGjvmjUkqDwo4HWrf/CFxf8AQweIf/Bm9XotBeGJY11rVCFGAXmVj+JK5NO/saX/AKDOpf8A fxP/AImj+xpf+gzqX/fxP/iaP7Gl/wCgzqX/AH8T/wCJrGFvet43fSzrWo/Zo9NW4UB0B3tIynPy 88KKkt4bqXxZe6Wda1HybezhmUbo87naQHnb6IK1f7Gl/wCgzqX/AH8T/wCJqtoN3KdV1nS5rie5 +wzxlJZiudrxK235QOhz19a3aKzNe1ZtGs4J1hEpmu4LfBbGPMkVM/huzWnRRWPBq96PEh0i8so1 WS3NxDNDLvAAYKVcEDaeRg8g8+lbFc34ye4aPR7OG8uLRb3U0gme2k2OU8uRsBuo5UVoDRZFAA1n UuPWRD/7LR/Y0v8A0GdS/wC/if8AxNH9jS/9BnUv+/if/E0j6HI67TrOpgZB4lUH9Fpf7Gl/6DOp f9/E/wDiajn0K5khKw+INTgc9HVomI/AoRUdv4fvYmzN4m1WcbcYbyV5z1+WMduKeNBuwIQfEeqE p/rDmL95x3+Tj8MVj6rpUXhO1steshLMdM3rfO2GluLd23SFiMbmVjv/AAb1p+i6Tc+IfD1jqWoa vq9vcXkKTSR29yYlUkZwABwOa1Y/DzRxqg1vViFOQWuAT+JK5NJB4dkgJC6/q7KSTteZH/Urn9am /saX/oM6l/38T/4mj+xpf+gzqX/fxP8A4mj+xpf+gzqX/fxP/iaZNoDzwtE2taqqsMEpOqN+BC5F Nn8OvPCIv7d1ZMYKsk6qQR05C8/Q8HvS2+hXUUW2bxDqdw+fvsYlP5KgFUtEn1KHxhrOlXd69xaQ wW81qJdpcBgwYkgDjcp4PpXS0UVmaPqzapNqcbQiL7Betaghs7wERt3t9/p7Vp0UUUUUhO1SeTgZ 4Ga57wAYm8EaYYQyoUbhuud7Z/XNdFRRRRRRRSBVUkhQCxySB1paKKKKKKK5vV/+R98Of9cL3+UV dDJJHDE8srrHGilmdjgKB1JPYVHZXtvqFpHd2snmQSjKOAQGHqM9vfvXPeCHjxr0KEbotZuQyD+H JBH6V1FFFZ2pf8hHSf8Ar6f/ANEyVo0UVzevf8jn4W/663X/AKJNRa/Hu8eeFXMXmKgu8HGdh2Lg 9eOMjPPX3rqaKKRlV1KsoZTwQRkGgAAAAYA6AUtFFFFc2n/JTp/+wLH/AOjnq3DJu8aXce6M7LCE 4X7wy8n3vbjj8a2a5vQf+Rz8U/8AXW1/9EiukorC1izh8W6QbexvI1EF5G3mNEXQtFIGK4yNwyMc H1rdoorMs7G+i1Sa7uJbR1lBBMcTByAfkGSxAABPQck54qu2vvp92YNbtfscbylYLtGLwOP4dzY/ dt7Nx6E9Kr+JwbmXw5NBiWJdWikLocjaY5ADn0yR+ddHRRRRRRRSEAggjIPUGgAKAAAAOABS0UUU UUUVg2co/wCE61WHauRY2z7tvOC0oxn046f41vVXvr6202zkvLyZYoIhlmP6ADqSTwAOSalhlWeF Jk3bZFDLuUqcEZ5B5H41Q0fSDpU2pSGbzft9611jbjZlEXb15+51960qKKKKKK5r4ef8iLpv+7J/ 6MauloooooooooooooooormdbkSHxx4elkdURLa9ZmY4CgLHkmnyW7eLZFaVnTQ0YMsYypviMg7/ APpl0+Uj5uvTGeiACqFUAADAA7UgRVZmCgFvvEDk06iiszVED6jpGc8XbHgkf8sZK06KK5nxAobx n4VBzxNcng4/5YmqnipSfiB4LfjAmux155h9PwrsaKKKKKKKKK5tP+SnT/8AYFj/APRz1ZitETxx cXakhpdOjRxk4OJHx7dz+f57dc1oP/I6eKf+utr/AOiRXS1z0s8viiZrWzkaPSI223FyjEG6IwfL jIIIXqGbv0Hc1vQwx28KQwoEjjUKiqMBQOABT6KKKQgEYIyD2rhfFmiHTLzQp9EbyWbVUC2UjkWx fy5DuwAShwCPl45yQcV0lh4ghnufsN9C+nX4A/cTniQn/nm/Rx9OfUCteiiiiiiiiiiiiiiiisKw nhfxrq8IgcTR2ttmVkwGUmTAB785/WtW+vrbTbOS8vJRFDEMsx/QAdyTwAOSaybGxudWvI9X1eIx LEd1lYt/yw/6aP6yEfgo4HOTW9RRRRRRRVe/do9PuZEYqyxMVI7HBrM8GAf8IVohAAL2ELtgYyxQ En8SSfxrbopryJHje6rn1OKZ9og/57R/99CnLLG5wkisfQHNPoooooprMqDLMFHqTim/aIP+e0f/ AH0KVZY3OEkVj6A5p9FNkkSKNpJGCIgLMxOAAOprz+9ePxd408PyXdi66V5V21uswKvOQFBZl7IQ QQD16njivQqKKKKKwNaS4Pirw20Yk8hZrjzSD8ufJbbn9cVv0UVzevf8jn4W/wCut1/6JNN1oRnx 94Z8wKSIrzZu/vbY+nvjP6101FFFFFFFFFc2n/JTp/8AsCx/+jnpbQlviNqe452aZbbM/wAOZJs4 9M4H5CujrG0qa2Ou69Gm0Tx3ERlO3BwYU25Pfoaq+bL4rmxBI8OiRt80qMVa+I7KRyIh3I+9245O /DDFbwRwQxrHFEoREUYCqBgAVJRRRRRXOeLv+Pvw3/2GY/8A0VLWzqOmWOrWjWmoWsVzCxzskXOD 6j0PuKyUt9b0H5bV21iwVSfKmkAuo+4CueHHbDYPTk1p6bq1lqsPmWk4Yr9+NhtkjPoynlT9au0U UUUUUUUUUUUUVyVrq1tpfiXxTdajdeVbxSWqruJPJiGFUdSST0HUmrel6de6tdx61rsXlMhLWVge lsD0Z+cNLjv0XOB3NdFRRRRRRRRVbUv+QXd/9cX/APQTWb4KDDwPoW4gn+z4OQMcbBituiuR17St P1jx7pFtqVlBeQjTrpxHMgZQweHnB78n860f+EH8KeX5f/CO6btBzj7MnX8qz20TSdA8X6IdIsLH TzdC4jm8qEK0qhAwUYHqAfoDXW0UUUUVy3j23gvLLSLa5iSaCbWLZJI3GVdSxyCO4q1/wgnhL/oW 9N/8Bl/wrC8VeHdF0KPSbzSdPs9MuDqttGbiGMRkKW5BIxwfSu8prMqIXdgqqMkk4AFc3AW8YyCe RGTQUIMKsMG/P95gRkR+g/ixnpjLtWAHjzw2AMAW97gD6RV0lFFFFFZ2pf8AIR0n/r6f/wBEyVo0 UVzevf8AI5+Fv+ut1/6JNWNe0C51W+0+/sNUbTruw8wI/kLKrK4AYFTj+6KozaN40G37P4utj/e8 zS1/TDU0aN45xz4tss7f+gWPvc/7XTp+tT/2P4tZVLeLYVbABCaWmM+vLUf2L4s/6HCP/wAFaf8A xVH9i+LP+hwj/wDBWn/xVH9i+LP+hwj/APBWn/xVSG08YxtEItY0qZFXEhmsXDMc9flkxnH4daYb LxrJK5bWdJhQoVQR2Dkg5+9zJ1x26VZS08UJKQdX06SLK8tYsGAwd3STGc4x+NSS2WvuGCa3axk7 cEWGduDz1k79KZpmhXVtrMmrX+pC8uXtUtRsgEShVYtnGTkkmkgQjxvettUBtPhwwHJw8nU456+p 6np3264HS7dfFHizxJ5VznRzcQpcBAQblkjCmPP/ADzyDnH3unTOe8RFjRURQqqMKqjAA9KdRRRR RRXOeLv+Pvw3/wBhmP8A9FS10dFZmq6BZas6Tyebb3cX+qu7ZzHKntkdR7HI9q4rXxcw+JdOtPFc kmoaaILh0ewEyP8AeTEkscfQKMjcMj5ugretPBXhK+tkubSKWeGQZSRNQnII/wC+6rNotj4c8ZaA ulLNAt6biOdWuZJA6iPcBh2OOQDxXZ0UUUUVzfj/ACfCFwgd1D3FsjFHKnaZ4wRkcjIJFH/Cv/DX /Pncf+B9x/8AF1U1Twfouk6fJf2MFxDcwFXjf7bMdp3DsXIP4119FV7+/ttMspLy8lEUMQyzH9AB 1JJ4AHJNch4ctYtY8Z6zql/Yy21xbvAY7aSXcqkxfLIydBJtOO+M4Hc129FFFFFFFFFIyhlKsAQR gg9DXPeAdn/CEaYI8bRGwG0EAYdvWuiornb1T/wsPSX42/2ddL1774f8K6EnAya53WWD+MvDQRRJ te5LEc7B5XXjp6c+tdHRRRRRXO+MJpIV0Vo3KE6xbKSO4JII/EGuirk/iJE82h2YjtzOyanasVGf lHmAZIHJ9PxrrKzdX0ZNa8iC7lJsUbfNbBeLgggqGP8AdBGSO/GeMg6IAAAAwB0Arm9ZZV8feGsn G6G9A477Y/8ACulooooorN1IgajpGT/y9N/6JkrSoorm9e/5HPwt/wBdbr/0SaTxLqmrQa3o2kaT cWls+omdpJrmMybRGoOFUMMk7vXtSDS/GgcsfFGnkH+E6UcD/wAi5/8A10/+zvGX/Qx6Z/4Km/8A j1H9neMv+hj0z/wVN/8AHqP7O8Zf9DHpn/gqb/49R/Z3jL/oY9M/8FTf/HqV9O8Ybzs8RacFzxu0 ticf9/aT+zvGX/Qx6Z/4Km/+PUf2d4y/6GPTP/BU3/x6j+zvGX/Qx6Z/4Km/+PU3+y/GXlOv/CT2 G8tlWGlfdHpjzPpS6XfazD4tuNG1K8truIWKXUbxWxiIJcrg/Mc/dqxC5Hjm6jJYg6dEV5yB+8fP GOOo7nPtjm9qunHVbUWjXMkMDt+/WPAMqYOUz2BOM45xkd6xvDkaQeLfE0EKLHFG9qqRoMKg8gcA dBXT0UUUUUUVzni7/j78N/8AYZj/APRUtdHRRXP3kUn/AAsDSp9h8safdIW7bi8JA/IGte10+zsW ma0tYoDO/mS+WgXe3qcd6xNe/wCRz8Lf9dbr/wBEmukooooornPHv/Ipy/8AX1af+lEddHWX4k/5 AF19F/8AQhWpRWbLo63WspqF3MZktwDa25XCRP3c/wB5uwJ6DOOpNZ2hbP8AhMfFGC27zbbII4/1 Ixiujoooooooooormvh5/wAiLpv+6/8A6MaulorL1jw3pGvvBJqdmJpLfPlOJGRkz1wVIPOKzm+H vhh1KtYTMrDBBvZyCP8AvurOi+DfD3h67e70rTI7a4kTY0gdmJXIOPmJ9B+VblFFFFFUtV0jT9cs TZalbLcQFg2xiRgg5BBGCD9KyP8AhX/hn/nyn/8AA2f/AOLpYPAHhi3vIryPTnE8Tq6SG6lYhlOV PLdv610dFFc3q/8AyPvhz/r3vf5RV0lFFFFFY2vQwzX2hidWITUN6bTjDCGXH4Vs0UVzWvf8jn4W /wCut1/6JNQeKFmPjXwewZfJF1cBwSNxbyG2474xu/T2rrKKKKKKKKKK5tP+SnT/APYFj/8ARz1O YpD4/WYSKI00oqUzySZQQQPQYP5it2ub0H/kc/FP/XW1/wDRIrpKKKKKKKK5/wAVR+ZcaA28L5er xtgg/N+7kGB+eefSugoorM1jQ7fWfIMtzeWzwFtklpcNC3PUEr1HArP/AOELt/8AoOeIP/BrL/jU ll4PsbPVLfUWvtTu57Xd5P2u9eVU3LtJAY+hrfoooooqjrGk2uuaZLp955ghlKkmJyjAqwYEEcg5 ArK/4Qu3/wCg54g/8Gsv+NIfA9lIVE+q63cIrq5jm1KR0YggjIJweQK6SiisPR7VI/EniG5DsWmn hUqVwF2wpjB79a3KKKKKKKKKKK5r4ef8iLpv+6//AKMauloooooooooooooooormdalji8feGQ7h TJFeIuf4m2xnH5A/lXTUUUUUVg+JVDXvh/Mjx41RTlRnP7qXg8jg/wCRW9RRXK+KSieK/Ccjlcfb JVCkkZJiOCMA/rVjxGE/4SHwuWUk/b5ApHY/Z5f0roqKKKKKKKKK51EYfEqaQj5To6AH3Ez5/mKH ZB8SYkMQLnR3IkycqPOXIx05yPyroq5vQf8Akc/FP/XW1/8ARIrpKKKKKKKKytedVXTwWALX8IAJ 6nJP9K1aKKKKKKKKKKKKKKKKKxNHn3+IvEEGf9XPCcbs9YU7Z46Vt0UUUUUUUUUVxPgrW7fS7bT/ AAnqMF1Z6qEkKxywMEkAZmJVxwRg9c121FFFFFFFFFFFFFFFFcj4qvYtN8ZeGby5AW2UXaSzMhKx ZVMEkA45GMnAxmulsdQstUtFu7C6hurdyQssLh1OODyKs0UUUVzfjLfGNEuxBNLDaarHNOYYy5jj EcgLkDnAJGTWzp+qWGrW7XGnXkN3ErlC8LhgGHUZHfkVbornvEmx9Y8OQhY5JjqBkVHYgbVhk3MM cZGRjPrSeIAJfE/hmFWHmJdTTlT3RYXUn8DIv510VFFFFFFFFFY5nibxktuHBlTTi7L6KZAAf/HT +VVzDI/xFW4Ufu4tJKMTxy0oIx6/cb6cetdBXJaZqNlYeOvEcN5dw20lw1u8KzOEMiiEAlc9QDxx XWdaWiiiiiisLxXPBZ2ljeXLypFb38Ts0aswA5HzBQeOfpnFaOm6vpusQtNpl9b3kaNtZ4JA4U+h xVyiiiiiiiiiiiiiiiiua0vUNJt/EviAvdRQXLzxBxNKFLBYlAIU9s7hnoce1dJS0UUUUUUUVyfi bUfE8d8Lew0y5j0wL+9vbQRzTsT2SNmGPckH6Vf8KWejLpMOo6Uskn2uNS9xcMXmkxx87HJyDkEd Aa3aKKKKKKKKKKKKKKKq6leSafp8t1FZT3rxjKwW4Bdz7ZIrkbW8PijUl07XZ73T2lDyJpAheEOg wCHl/wCWnBBKqQOcHNdjZ2Vrp9qlrZW8VvBGMJHEgVR+AqeiiiobuWWC0llgt2uZUUlIVYKXPoCe B+NcdZ6hfeIb9LHxDa6ppKzPII7SOMpHJjJAM6MSx2gnA2g++K6+xsLPTLRLSxtoraCMYWOJQqj8 qsUVzmuox8Y+F3Ckqstzk44GYTim62wi8ceGXJzvW7iCgZOSiNn6Dbgn1I9a6WiiiiiiiiiubT/k p0//AGBY/wD0c9aC/wDI1S/9eKf+htUfiHxB/YMUBXT7u9kuJAirBEzKnqzsAdqj/IrGsNMt/GaN ca3qVvqkNvKUNhbxlLeKQDkNuG92Ge+B7V16IsaKiKFVRhVAwAPSnUUUUUU12KRswUuQCQq9T7DN cMuu3HiDUIdP1k6j4dSeUxxWiwur3PGQGuANq5Ab5VIPXmuu0vSLDRbT7Lp1skEW4s2OS7HqzE8s T6nmrtFFFFFFFFFFFFFFFY/iDXm0VIFi0+4u5rglUKI3lIR3kcA7R+B+lZWnWGm+MoVv9TvLXWEg kKC3ijxbwyAAkYPzMRnq3HPQZrrKWisP+17uLxjHpErWzwXFq8yKuVkj2lRkknDA5PQZGPxrcooo ooormvh5/wAiLpv+6/8A6Mauloooooooooooooooorm9X/5H3w5/1wvf5RV0lFFFFFZerSNHqGj7 Y2k3XhUhcfKDDJyc9hWpRRXOa7s/4THwvndu825246f6k5zUuvCI6/4c804IvJCn+95En9M1vUUU UUUUUUVz6wSr8RpLgoRE+kIit6sJmJH/AI8PzqXzmXx2IArbX0zeW4wCJcAeufmP5Gtuua0H/kdP FP8A11tf/RIrpaKKKKKKK5vxd/x9+G/+wzH/AOipa6Siiiiiiiiiiiiiiiiiud8KKUu/Eecc6w5G CD/yyiroqKKzP7IM2ppe31wLn7PKZbNRHsMGVKkZB+YYJ6j+Qxp0UUUUUVzXw8/5EXTf91//AEY1 dLRRRRRRRRRRRRRRRRXN6wr/APCd+G3VAyiK8DHcBjKx9u/Sukooooorn/FBYXnh7bI6f8TZM7QT keVLwcdjXQUUVzPiF0j8X+FmY4Yz3CrkgDmE9/X0Hek8TBv+Ep8Jne4X7dNlQvyk/Z5MEnsRzgd8 n0rp6KKKKKKKKKxj5n/CbAlm8v8As07VxwD5nJzj6d+1VXRj8S4X2naNGkBbHAJmTj9D+VdHXN6D /wAjn4p/662v/okV0lFFFFFFFYfiXyvM0XzGw39qReWN2Mttf254z6VuUUUUUUUUUUUUUUUUUVze gFx4w8URmRmUTW7KCeFzCM4FdJXLX+pX3iLU5dF0Kd7a1tn2ahqSdUYdYYj0L+p6L9a6gcDFLRRR RRRRXNfDz/kRdN/3X/8ARjV0tFNZ1QZdgozjJOKqyavpkJIl1G1QhipDTKOR1HXqKmjvLWZ0SK5i dnTzFVXBLL/eHqPepqKKKKKSjI9RRketLRRXJeJXeLx54QZJQu+S7iZO7KYgfyyo/SutooooornP FjMt34c2sRnWIwcHGR5UtdHRRXH+MHMfizweQFOb6VcMM9Yzz9ferviX/kYfC3/YQk/9J5a6Oiii iiiiiistv+Rqi/68X/8AQ1rPf/kp0H/YFk/9HJXSVzeg/wDI5+Kf+utr/wCiRXSUUUUUUUVieJIj I+jsIUk8vU4mLM2DH8rDcPU84x6MfStuiiiiiiiiiiiiiiiiiub0H/kc/FP/AF1tf/RIp2q3N3rt 0+i6PdSW0cTgahfRdYh3ijP/AD0PGT/CPcitqxsbbTbOO0s4hFDEMKo/Uk9yTySeSasUUUUUUUUV zXw8/wCRF03/AHX/APRjV0tFcp4g0rS9a8ZaTZanZQ3aCyuZAsoJAw0Q9cd/TNWP+Fe+D/8AoXbH /v1WXP4b0XQfG/ht9J02CzaZ7lZDEuNwEJIB/Gu3ooooormfHVsL3T9MtZIzLbzarbJPHzh0Lchv bpT/APhX3hH/AKF+y/74rE8U+EvDmlaEup6VplvbXMN3bGKeDKkZnRTyD6Eiu+oorm/EqKfEnhVy o3C/lAbHIBt5cj9B+VdJRRRRRXO+K9n2zw5vLD/icJjaO/lS4/CuioorA8TRWr6h4ee5YoU1MeWy rklvKkwvsD3+lR+Jf+Rh8Lf9hCT/ANJ5a6OiiiiiiiiismZ1j8To7nCrYOSfQb1rLgu7a++IttcW k8c8L6LJteNgwP75K6qua0H/AJHTxT/11tf/AESK6WiiiiiiisvXPuWH/X9D/OtSiiiiiiiiiiii iiiiiuGt/wC0L3xr4lsdNk8iOWW3+03qkExKIQCiD/nofU8KOeTgV2NjY22m2cdnZxCKCIYVR+pJ 7knkk8k1YooooooooqK5kaK1lkUqGRGYbumQO9c78N2L/D/SXOMtEzHHTl2NdPRXOXpA+I2k5P8A zDLv/wBGQ10WR61zGu+a3j3wuFKGJftTMBncD5WAf93nH1IrqKKKKKK5rxp/q9D/AOw1a/8AoRrp a4Dx54dGnaJNqGizPbbruB57Hd+4uWMyY4P3Du2ncuOnOa6ex8R2892thfxPpuoE4W3uP+WpxnMb dHHXpz6gVsUVzmuHzvGfhq2b7im5uQR13LGFA+mJW/SujooooorD8RpbPfaALqQoBqYMeO8nky7R +NblFFc34kPn+JfDFm3EbXks5I67o4X2/h8xzUHiieRfGfhC3Gzy3urh2yfmysDAY9vmOfwrq6KK KKKKKKKyTLGfGCQh1Mi6ezMmeQDIAD+OD+VYeoeH3/4TSS+0KVdO1D7FvZxEDDcEuciUdTnA5GDx 34rUtfEohmWz162/sq7P3Wd90E3uknT0+VsHnoetRaGxbxl4nBxhZLYDgD/liD+NdHRRRRRRRXOe MpLoRaPb2c4t5LrVIo/OMYfy8K7ZAPB5UDn1rQ+ya1/0Frf/AMAv/s6Psmtf9Ba3/wDAL/7OmrZ6 2CxOsQEE5ANl04/36QWOuhgTrcJAJ4NiOc9P4+1EljrrjCa3DHwRlbEHt7v2qAab4ljMjp4iglYq AqTaeNikYyflYHnnvVh7TXdjbNWtd+Pl3WRxn3+ekjtNfx+91e0zgfcsSOcc9ZPWqv8AY/iTzmf/ AISr5GORH/Z8eF5zgc59utSSaX4he7Ey+JESMDmEWCbT+JbP61H/AGP4l+T/AIqv7pBP/Euj+b2P P8qlgsPEkTKkmu2s0YU5d7DEhbPs4XGParH2TWv+gtb/APgF/wDZ1FPp+vS48vXoocAj5bEHORgH lj06/wA6qyaL4mcgr4uMY9F06I9/c/hTP7C8Uf8AQ5P/AOC2GnxaL4mjlV38XGVVOSjadEA3twQa rX3/AAkl9qb6NZapHCgi3Xd4LIqYQwO0RkthnOD7KPfAqDwTpw0nX/EliHVxFLbfMqbM5hHUZOT6 knJPNdlRRRRRRRRRUVxF59tLDnHmIVz9Riue+HQ2+AdJQ4+SIpwMdGYf0rpqKzdW8O6NrrRNqum2 94YQRGZUztzjOPyFUm8DeF2+9olqfl28r/D6fT2q3p/hrRdLvWvbHTYILlk8szKvzFeOM+nA/IVq UUUUUVU1HTLLVrYW99brNGGDqCSCrDowI5BHqKqL4Y0dSSLVufWaQ/8As3FRTeD9BuHieayL+VKs yBp5Codehxuwfp0zWlf6fZ6paPaX1ulxA/3kcZHsfY+9YkdhrXh4k2Fw+racuT9kuGzcRDsI5Cfn Hs/P+1Wrpms2WrK4tpCJosedbyDbLCSM4dTyP5HtmsfW5Ui8feGA5wZIrxF9ztjP8ga6eiiiiisD xOImvfD3mkgDVVK4YD5vKlx1/l1rfoorm9e/5HPwt/11uv8A0SaPEahfFHhadciT7ZNDkHqjQOxH 5op/CukooooooooorAWFR8Qnn8xSz6SqFMjIAlJzj33fpTzdbfHotNv+s0syZ9NsoH/s9a9xbQXl u9vcwxzQyDDxyKGVh7g1xOiWN5pHifxJFoaRyxx3FuWtrmRvmDRAnbJyVx2BBGOOO3Uadr1pfz/Y 5A9pfhNz2dwNsgHcjs491yK06KKKKKK5nxoJmfQI4JzA76vGocLux+6lPIPXpT/7J8Xf9DVZ/wDg p/8AttSQaX4nWUG48TW8kfdY9NCH8y5/lVldP1gL8+uknPUWiCnf2fq3/Qcb/wABUo/s/Vv+g43/ AICpUFzpviFlX7J4ijibPzGWwWQH6YZcVAuleLA4L+KbQrnkDSgCR9fMqyNN17zAT4hXZuOV+wrn HYZz198flTjp2tbGA1/5s/KfsaYA9xnmnNp2rMMDXnXnqLWP+oqKLSNYjjZT4luJSc4Z7WHK/TCg fn6Ug0vX1KAeIwyhvm32KFmXHTIIAOe+Pwpy6br28FvEClcDIFioOec85+n0weueJf7P1b/oON/4 CpTH0zV2ZGHiCVdpyQttHhuMYOR+PGOlU/8AhHNc/wCh01L/AMBrb/43TovD+txyq58YahIFOdj2 1vtb2OIwf1q7/Z+rf9Bxv/AVKyfDEc0XizxOk85nkEttmQoFz+5HYV1VFFFFFFFFFFc18PP+RF03 /df/ANGNXS0UUUUUUUUUUUUUUVmat4fsNY2STK8NzEQYru3bZNGR6N3Hscg9xXI6rfX2ieMfDsWu qmowj7T9nu4ISZs7BktGBxgZyVzkdhXdWV7a6jaR3dlcR3EEoykkbBlb8RU9FFFFYPiW4Nve+HyP +WmqLGeAesUvr/8ArreoormtfZV8Z+FSxABluQMnv5JqLxO0o8Y+EEDqITd3BZOMlhA2CPYAt+Yr qqKKKKKKKKKwwhHj0v5CgHSwPO5y2JT8vpgZz/wI+1Qsv/FyIm8tjjR3G/sP3y8fU/0NdFXN6D/y Ofin/rra/wDokVraro9hrVqbe/txKvO1gdrxn1Vhyp9xWWZNd0AOZFk1ywBG0oALqFcYOQBiXkZ4 weT1rX07VLLVYWlsrhZRGxSQcho2HVWU8qfY1boooorn/FULy3GgOgyIdWjd/YeXIv8ANhXQUUUU UUUUUUUUUUUUUVzeg/8AI5+Kf+utr/6JFdJRRRRRRRRRRXNfDz/kRdN/3X/9GNXS0UUUUUUUUUUU UUUUVy/iWBT4u8J3JQFku54gSTxugcnA/wCAVevfD3+kyX+j3baZeuPnKKGhlOc5kj6E9RkYPPWt ENeppwZkhlvREMqrFI2kxzgnJAz9aqaHqs+ppdx3dqtvc2dw0EqxvvRiACCrYGQQw9wcg9K1KKK5 3xWjPeeHAuONYQnJA48qWuioorjvGW3/AISvwfuBI+3yYwcc+WcVd8Sop8SeFXKjcL+UBscgG3ly M/gPyrpKKKKKKKKKKy2/5GqL/rxf/wBDWqDuw+JcKBm2nRpCVzwSJkwcfifzro65vQf+Rz8U/wDX W1/9EiukorL1HQbW/uEvI2ks76MEJdW52v8ARh0cezAitEhxEQpDSBeC3AJ96oaHqc2q2Us08EcT RzyQgxSiRJArY3KR2PoeRg1pUUVj+ISQdLw5UHUYsgDO773B9PX8K2KKKKKKKKKKKKKKKKKK5zQ0 ZfGXidmUgNJbFSe48kD+ldHRRRRRRRRRRXNfDz/kRdN/3ZP/AEY1dLRRRRRRXP8AizxLJ4ahsZks muknuNk+0nMUQUs74HXAWt5HWRFdGDKwyrA5BHrTqKKKKKKK5zxJ/wAjB4W/7CEn/pPLXR1FcCc2 8gtmRZip2NIpZQe2QCMj8ar6bb3VvHKLr7IC7lwLaIoMnkk5JyScnNXaKK5zxd/x9+G/+wzH/wCi pa6OiiuX8XWssus+F7iPLLDqmGQJk8xPznsBt/WpfEgP/CQ+Fv8AsISf+k8tdHRRWJp/ie31DxJq GirC6NZnakxPyzMFUuo46rvXP+8DW3RRRRRWU7KPFkKlgCbF8DPJ+daouR/wsuFdoydGkO7nI/fJ x/n0ro65zQ0ZfGXicsrANJbFSR1HkgcfiDXR0UVFcidrdxbPGk2PkaRSyg+4BH86paLpI0tLp2Ke deTtPMIgVjDEAfKvbgDPqcnvWlRRWL4jto520iRyQ1vqUUiYPUkMvP4Ma2qKKKKKKKw7DxTa33in UNAWMpLZBSsucrNwC4HHBXcuR7ityiiiiiiiiua0S2KeOfE1wXf959lAXJ24EXXGOvv7Culooooo ooooormx8P8Aw0rOY7O4hDsXKQ308a5JycKrgDn0FL/wgPh7/nje/wDgyuf/AI5R/wAID4e/543v /gyuf/jlH/CA+Hv+eN7/AODK5/8AjlH/AAgPh7/nje/+DK5/+OUf8ID4e/543v8A4Mrn/wCOUr+B NAkbc8d6TgDP9pXHbj+/Sf8ACA+Hv+eN7/4Mrn/45VnTvCOi6VeC8tbaUzhGRXmuZZtqnGQN7HGc DpXM6fpl1N4kg8L38Vy2naRDJNDOszxiVGZfJGVILFRvUg/3Qe9b58D6EZ/O8u9D7t2RqNwOc56b 6dD4K0KDzdkV3+9Qo26/nbg9cZfg+45qP/hAfD3/ADxvf/Blc/8Axyj/AIQHw9/zxvf/AAZXP/xy j/hAfD3/ADxvf/Blc/8Axyp5vB+kXFvHby/bnii+4p1G4G3/AMfqD/hAfD3/ADxvf/Blc/8Axyj/ AIQHw9/zxvf/AAZXP/xyp7HwboenX0V9b20xnhyY2mu5ZdhIIJAdiAcEjPvW5RRRRRVPUtKstXhi ivYi4hlWaIq7IyOvRgykEHk/nUP9h23/AD86h/4Hzf8AxVN/4R+zy58+/wDn+9/p83Pb+9UMPhTT LZ98L36NknI1Cc8nr1ekm8JaVcCETG+fyG3RZv5/kPqPn96il8EaHM0DSxXjtbZ8ktfzkx5GDj5/ TinP4Qs/L8u21HV7ReciHUZeScc/MT6Y/E02PwjHGjKdc118gjc2oPkZ7j6UxfBqBWH/AAkGvncM ZOotxz2qDVPDSaXpK3ujRyyahYXH20NJIXkuW2hZFYnqXQY9MhT2qLw1AvijQf7YkvtXg+3zTSRp 9reMxIXZVUAHHAAI/rW2mgW6Zzeak2cfev5eOMf3vxqovhKJZJGOt64wcEBTqD4TnPH8qZL4Ojkl dxr+vxhmJ2JqLYX2Ge1M/wCELT/oY/EP/gxb/CnP4NjdsjxBr68AYXUWxSJ4Jtkl8461rjy7Sgdt QfIU9QPxwfwFQ/8ACA2huxeHXNe+0CMxiX+0G3BCclc46ZAP4VL/AMIWn/Qx+If/AAYt/hWjo2gw aI1w8d3e3UlyVMkl3OZW+UYABPQVqUUUUUUUVT1HS7XVYY4rpGPlSCWJ0co0bgEBlI5BwT+dY3/C Fp/0MfiH/wAGLf4Uf8IWn/Qx+If/AAYt/hR/whaf9DH4h/8ABi3+FH/CFp/0MfiH/wAGLf4U5fBs ahv+Kg19twxzqLce4pv/AAhaf9DH4h/8GLf4Uf8ACFp/0MfiH/wYt/hTm8GxsF/4qDX12jHGotz7 moL7w0ukaMtxpTXU97Y3LX4aSTfJcttw6sT13J8vtgelUPDenN4u0dfEEmt67bC/mlkjgivSixJ5 jBVAA9APzrXi8HxxSbjr2vSDBG19RfHIxnj060S+D45ZNw17XoxgDamovjgYzz69aZ/whaf9DH4h /wDBi3+FH/CFp/0MfiH/AMGLf4U4+DYyir/wkGvjGfmGotk/WrreHYGhWMX+qKRj5xfy7j9eaWbw /bywvGL3UoywxvS/l3L7jLVn/wDCFp/0MfiH/wAGLf4Vo6NoMGiNcPHd3t1JclTJJdzmVvlGAAT0 FalFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFIAAAAMAdAKWiiiiiiiiiiiiiiiii iiiiiiiiimRRRwRLFDGscajCqgwB9BT6KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK//2a== ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image003.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAABCQAAAIKAQAAAADTm6PYAAAACXBIWXMAABcSAAAXEgFnn9JSAAAg AElEQVR4nO2d3assy3XYe9/teCQiuW+IHyx0uS0IWHkKMiKgCyenBHbwS8DkzQ924iCIXwJWMNgS Odo9N1tkJDAegx+sgNDY+B/IoyDBe7YmZPJgNI/Jk/eMJmhexD09HuPT49O3K7VWfa366u7ZZ19J hi7u3Wemu6vqV1VrrVr1MdUZ/2kI2U8aAMNIYcNIYcNIYcNIYcNIYcNIYcNIYcNIYcNIYcNIYcNI YcNIYcNIYcPfO4rDXe8jHz4BRU8utw8/ForuXNqin6J5AopNN0XPffnMR03B73opPnxzijbvzqUp eimqN6eo59251C97KT548cYUrzfduZwPvRR/+ebSeeqhOPZTfPPNKQ6L7lxOm3lfYu8/BUV3LqfN oi+xd+o3p2DduZwe+inOHz3FggWRJ+73/3p6Y4p9EeTihJqX3pXGp1i9CqP9zW8HWYb5EB35Cz8X L7T+/Yp7FPwQxlr6z7RZ0UHR2xUF91etn0NEy7KZn8yLToq+bvm1fyFvgtoOQlv4FOe6k+LS0LLj fsBD196V03nxlBRVueqnqF/8rnflsH9Sij3P+ymOta+98/WTUswb1k9xOPoUi8VTUrSTLe+nmO09 ivZ5xDo+nqLJrgdQZLlHUWf8aSkmQyiKj5iiXA+gYAuP4tw8LQX/+0RRuX3eT4wio5n85FokI1b8 JygX0/yngaKxtTGc4m+y8mkphJXQtTGcYjuI4iJ70eiMhlMsI67hG1KIkl1KMW8HUkT8zBSFdkCH UyyagRSX2M5WVvBgipbVQyguteAVYgynKF8PpLikRQCjVBRTT/BiFA0/DaG4UC5EmGaSYpp546kY xZmvh1A8ok/NsitBATXh2oIYxYlvBlC0A6XTeWaZXTUc5gbanF6OURx4ODB+JEXrUfD2fSWd7/dR rDkbQDGoReqkl1MXPRTztnwqiirta131UBQNH0IxpEUOfotYii2RjBgFqwdRDKmLebouWqEwHRRt eXqyuii6vN/M2K4IRVO+eqq6EAKWbBFIootCGLaBFH22s/btBVIY/890VxGK+muzp6oL0bSL7ZVz SVAY832866AQRRxCIeRim2Wun++FNVC4989Na5zQfQfFeSAF76eYC4r5tnQp6lLXzuxpKLBFlslH hMvGFsztGs/NuX1PfS6ekOIP0hQlZ98p54VLsW9e6Ns6mzenaJ8lH6mFBfxWWyxcivVRzZw2T0hR p+dJhcFif9yUzizouSn2iuJosnkDCmU7d2mKg5CMGdA6FGyjkt+/AcVUSbiui0maYi4sYL5zbVuV 8UJZz5kZcFxOoTVTUbQsTcHEyJCtudOTLCeiPWQbFWZm/WKKhm3lh1ZS1GWSQnQTR6gQZ+pa1I+i aNnjKbbaPqi62KVn8WswnqL+nRWkAsjW8vbjKVb8HYdilqY4qZLTFSTxda/WDo7w5ZEUefPMoSjS FAdVEVQudP1wUJFHU9Rsq3KtkKIu0xRYETvuaOoREKRuzG3MSylE3iruVqS+hkySFAwYBcKCXFuB UyFjFI+nWIkmkZ++LjKYQyYpClERVQZzOAW5uMzEqAzFtWGPpxC+oozbvCNqhcEQK0VRw9SJoDCt D2Ga/SyTnWDN34DiSsUV3cdB2IoyTbFH+Vy7isrgPxSUXTdFp6/FTiruUVDshJikKdaokXsQSBNA Lhc4UAXCx1O8VnGhl5oIMUlT5CiXJ0dFwE4ttIo8vkU0RSsGcP+rgJxSFLLYwnzT5Xt4diMjsCeg gO5jWeKAIkEBIsMgNZoWPHs469tm7TRBAU5t2UWxFZ32FYpFiqKS9d84M3UAsNcqYk17BwULb1mK GQ6eVh0Ue7llqf0KvQjG/LTWn/ooGHfVPKDIxWg3l02eoFD2rP2P9CJsBzjPFWQnxXEAhazmtuig yGH2++qT/9ZZWz7ARYw776HYSYq6i0LaAPlInAJUBBZoMmcCa2kEruihuJcUf806KFaKN00BVYkU hUdx/QFClj0U35QUP+iikAVcdVAco1dNQLPeRfEpSfH9Mk2htK/ooOiZVDj2UbwnKf6QpSkqmT3r oOjZ3HXooRAKjhTvdlDIppAsCYqim2LeQ9Eoe/G8g4KKRYRimfubeJa59wjroaglRXuTplBNkaco prlvbTKPQqZgJDikOEqKOr5ehBRVaVOKULQs91Skfe5RSM9nlabYS//i3EHhiEVI0Qg/cB1ccTPB v6bPDynWkuLUQeGIRUhRN7/jOBWwL8ZTGanHizTFXLSIkK1DmsIVi5DiVL30VGR/9CgQ0uYQUiwE hUh4k6aQjWr8hoBis3/pqch85VFgXCvBIQU7oze0CDbMGQrZFMa1Dijm65feFsuFt4NV5m/HrwFF UwoKGMel68IVi4CizYrD0b/iUkhIO2cbUoCXI+6zNIW8kdsYXgoZe7n2r7jSKvO3ZAHFGSjWwva1 mW9qNAV+kB5OlKItX7qZNv+hdC9ISJNCSHEEio1IuodCWq4ExQeFf8Wl8FQkpNgDxUL8ERIU2Qhs KGyjRih+VPpXHLmQ+RNnLqA4AIUwWrbTilPYDZMRim1wxaXA/Ct7IaCYC4oflgjjm11KYcUiRrHr pvBVJKSAxvh/ID+iNn4nTUEMQoTiEFxxKGT+ZPtpQCH6MTHwElVy4M3LNAUpbUxHgiuOiEkVWaQp WpiS24EWbfg54jtqilt7yd8m0U/hq0hAgRODYLQE6ildF0QsnIXRQRQyf+oHBRQctzW1QLGP1MXd mYzNZFit3EeaknXLhVJUcsWnOMs1RAHK+DpNQbSsza0Bk3ne9FDI/Kke+RQnOauAs8ObOAWMxEnx m7IpLqOQXR3tanwKpcRoOhdpCiIKlaNzQyg8dy9CsdYPwmpTskUcsRDyWV5EEahIQLGQ/6Dp9I2P pSBiAT2j2yS9FPi0M1TwKVR6G+xIkhRULJj44+z16aOQvYjjjXkUup7mOFsaUrTs7HVzWC3Okmqf pga9SEhRyn/BdB4jFDVSeGLhmc8+CrlQ4XhjHoXuE9B0Rii2gqJyxCInf1UaPS0S9CIBhfJahegU 0Y0NMyEXK35PMmD4D91x1EcRqohPoZZ10GiJbvW77q4F0X0IijwQC+r/9VNg/m5H7FGo6GiaFjAL 5d6uy7tzw2hXpmcPGHmom0KKnvtrLC8bnIPLRHcGRov/50nl3t4KTa2c2T+lo7Qutt0UERXxKaaa 4gjMBfccyJmgWNEUdB1smb32P7spZKO7o6QYBSw2ovfLPArRFHfnnHYb2vb8YWmv/UE3hbxXdFDo Fj8oE87/0rktmmJRF9ReK21p3iUU79yw7ad9CvuDLyyDN/BzKXQGBzRaoja+7dze4RZNanuVttQ3 lqJ9UTJvR5CgmJqJaMzC81XjFHvwtECO3R0eohjTazpZpIu0IwP8ur1ht1OfonjfieLNyboUx4Wm KHAs0L6gd9X4hIiFVo0Zodi1N8+Lpf2OFDfsGxqylBl0UJwUBUzkbGAJ2qk5paGFvaK8trYg/fS6 uXlWUmkFihelWp1XteCNPV2Kg6YATwu6VYdCTb4ze2Wu8YhdmTc3X+DuLyub9quNlpy9X5KQQv8Q do9GawPLlSTIMYjn4Ug863CIern5pYY52TTtl2rrM3glCSnmmgKN1oK/ohRKjYlY6HaYkZ5FOMPl Z2v3nICmnew0Mf7j/6bXpSgUxWEvxwIHSqGciLAra+nsUy16s/zo2samzfeqK5di7C9bOBQt0xQH 2a2uKYW0o4GH44nFjtdZsXedmBpmlDYKkkSMUzSlothvOHp2C0ohE6bFyHXGK/pUlYnGd3YEbbOy UBRRFXEpauOCg6dVexTe1J61WSua6lxuUHEoYN+W6j+iKuJSnA0FGC0hoYxQKLtK3G1ts3LicIjs 5tBqjv8wV9txeNTR8ilOmuIHpTRaJaGoZadPElAGsKFigUJde/KHV2QlIq+vIi7FXh8HspVGq+Eh BXlc6WxFB75nKOjRNdFkX1K0F/Eo1oYCoOdSQm36IvybXyeJF/JfRyx2Kk86dCX7kmqVTxfFQlPs pNE60bqTLU0rR/2bU+XFrSdzV/5wgooaimAG06EotFxoo0WF7Oxkza1YMOqHzmEpt3DlbwlXJH7M 0fIoRFTld07AaDHubASUFOTn5jGxENqCeTrL43iF1EL4qyWHQvmd/3KZS09rQ8dFZ/JXZYjBEYsG dwpuXPlbcHSaIGCcQEUcCmqi0PstqBz5LaKLO6fDkzPmuXG9mAUcgoMpeUuHUQpqaQ7wLKPF9ClU O7higXZTRHZmdxgIbWFjByriUFCrC8XBEUmSYq0v75xokKexfhhAOw7UUIST/JSCjiIWMPfL6c4e j0K3g9t9LjBPdxUUvJCTdEUSKuJQ0OSgDyTbQHmgI3rKYkLn7EXuIFxnZ7oIrpw6VcShWDjJLfjJ kVePwogFzbGReTaO/EHEc6eKOBQFSQ6M1t6RV09Tlfw5Hg60OzzQfom7F7lc1Y07Wi4FbUzpaTkR XArdDvdOO+4hj+XHf96ZbauyP1X7YlIqQinqd9TocjqVOxcXnJ5z4lJYx7cgz8xje3G2xiE46Yc6 KKrMBpzAWDha41KoWhJ+PyPPFJDK9bfeotf4D8y+pLij5VJsNcLPyQkMHJGkKNT6iCsW8SVYG6SK lJ0U1OoeYJBaOsbHpYg5vom9MTYU8CeiImkK32i5FLodZs4cY8/uqKSKUApaqoM0WkkKPR5yPJy+ HzvFZrQCCrrh7iAa4+g2oUMRGw9FpZ8GWQv+yTUexefJZfhph2s6XYpcp+uMsopuCm8DSpSipUfK 7NHTCgyxrlXdDitnNWCQikQfshSNQ9GU/jCP1oVuh7kjFjHpDyCjemQpaio2+8Y3Wg7FSqfrZNyj IpL4HLtlKZyDbfZotNwfBJG/qh3q8p4+8WgVIRTOwTb7wGhRCt0Oe1crelRkl37IUqwdisBoUQrd DjPq+PaqSLIXoRQbRy7WvtGiFKod2sIZdvQdjpBWEULh/JB0HxgtSqFnfN19Fj0qku5FKAVzWoTJ JdUohR4m71zxfXQvQijaktbFD0BBXKWyFGbG121kf7LKC/EZLY+icXRoW+KSapxCPeh5OH0qElsX CShqlyIwWoRC9UfuqMzTqDCQuZw0xZHv9F76bzDQbc9oWQqtnlu3et9ARSzFwXp86Hf6RstSGGvh 7qRqMjdcZdnn6HdkT+gRoaDeL+4DKeIUWsxz12b5FH4o4aGEHhkKX7Z8o2UpVEPVzN2D4h/n95+W 8Ivxh1cfy/4RMEhFTexVNxQL78ZrfzO1oSjkd8/D6TtUUKaW0CNDwbwbJ98T0BTWw3F9t0EUfi4e RSC8a78NNYX2cDyxGEQRG4tQinDzLvcPa1B/lVj41mIQRaqr0RRBGr7RMhRKPZ2pvaEUqa5GUwT3 faOlKVJiMYgi5Y1pCv9+G+wxlZznlFgMokh1NZrCV+Qm0F3p2pzNVgdPLAZRFD0UvUZLnelSm60O nlgMoUipiKFYeNd9T4s370kKxbaieyuHUiS9MU1R1KL7+fQDfp5mb2d7X3crKTm6HQKxGEKR9MYU Rev3PRN/+LKSTaG8vaYIjuAaQJH0xjTF14zevcRDvg++0foZlateYA7KNYAi6Y1l9hknvPK0ptU/ 0ZRCuQ9n6gZQFJdTuNnUenZDtsQk3KXdT5H2xtIUbvVtC/0Jsvcd32EU6QFLiuLkUSxNrmC96jJM sWdqTS4tXkzB6NfWjp4q5k/tDaVIj+mTFO6Vxs7ZgETMIj8h6KeIzWj1ULimsyrs5ynYLPYIisXl FG7DT8n9SnRk3ubrQRQd0166vQMK13Q6k/x5TCz6KToeSNaFYzobRwxWgYcziCI6o9VD4Rgt0Avy LSYW/RQd015JCmdw7f1wq/Q2XA6jiA/XuykWzjePwvdwBlEUj6Bw4vgUMc3vo3jOLqf4a+eCR3ET S7CP4gt+FgMo3Jb3KF7EEuyjeK/j5qMo/l0spT6KfzKA4p/j9MNv3MGXZfbpK1ethI6sfv/OJBj5 BVg/RTSSRxH6nTRU7s0iSiHvvT1Zyomcj8958zH4OM3+9f95WMYjuRRcxLtOU9SRaZkERTKwARQf ZWjv+JfvOp/4cVD0h5HChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHC hpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHC hpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChpHChj6Khv6sa0sP DgxeA9oZ6Jutvn53KUVFKaaUwvtJWhBqmvSSPNyGP4Dro1iR30m3OX2f2PMeiiXlp8j1s4sp8u/Z tOqbf2xvVE0PxYy80alh5OF9vbiQomXkXQ07enzhvv7t7pj0XRNV81mCt7uUomrJm0VmO/IL0cl9 4mQmFeobEnNV2d94tsXsUor7ivxyNZ+9Np+bIu+m2NXkt7T5mrw+8Ua/tWAwxfLaUjRZYeuizopu ihXhb/LCUgitu5hiQikYpYi98Uuf+A4JuzEJxVV44IGleO3fgvCwIWm1hOIcfeMXfzBPF3Makxyz 9+rURRE9AODh5YUUTH9ic3tqhPOexm6K6O+ONxdSbO4MxcahsKcoHy6nuLQu9GtUBMWD0yL24U6K 5ikomryforNF6hf+rUdQnPXLXIIWGUjRRikulIvTpnhDirh0Xqaprx5SFFY6Oyk+jJ6pc6G9OCyY oZg/Rkf2cXuBFLKPfiOKgTqyTlO08mXDEQrf6zssTM5A0QYU0yybdFHM4xYcpLN6K7uKU2TeK+kO zykFnCvwDygFHlQgKKZvpSg23nla6irUxT30QDGKhtUuxd8aEf++oPhnk9ei7HdC5iRFg3UqWuQb /qucTSqraEeNLTLjzcc1RXtNKCq/T35tDpbKlFzgu6NVXUwxa5CL2js5wqTyKnqEC1A0Ba++qikq 9WJvpLjl7Sfc53Wz1hNBoXIQAfrUZSZPsZPS+YFTHbYsDymKrXCczppipdxpoGiLwOJqhdxxQwEc IhFzmIXWkSpKEQ0gnSvhZBqKCd8airr0Xvplw4xS4Nuor++4S7EjB3j1U9yIdi00RcN4ZSh2nN/G KdpceDmOvbBejqagPnA/xVdExqWmgNY5aIoZnAQdjSZqqY/CvLlrGMWX4Rw9TSFaZ6YpfggvwYkf 0QQH9S6cFgko6vJuOMWmncC5VopCSFRbaAph13dxPxGOnGIP3RT3xFMeQFHAeYSaQhjSUlPseHBW tApw5FThSmfQj+T0YLd+CshYUxyhso1cwDF/UbsPhzl6LeL7F6JwF1LcciMX0DqWomZxCjgsL0kh 66Lil1AIewGn/hiKhhGKXWIUk0uKsoNizS+RC0EBxxAaiooTilWcAs8t7KmL/FKKLScUK0IBlRTr iSFCj5cDoIuLKGaUIicUIISxusAj27pbBA4ru9SCWwoog6GAMsco8n6K1aUUL8x5TIKiytShT1eC QrgweYRCnq3ZKRfQlvRI1l6KmlKstvqzoJiDExmxWvJoOI/CHqwnKPBNS7QH6rUX6tCxB2wR6E7/ HL+fm7b4q/PzGMVaUdjjygSFrf6DaNYd735XvReKjT1urmlfMPPl3EDFN78aUqiaZnN7iqKIWRCK Co82pC+97aZoiu/b6E37OXvn3EBZzuuwZ1dn8bIFjfmVklCsAbShp8F1U9QP5EXKTUumfs8NlGe/ Dr2crfyHfZvGJOfFHU45zOSiKzuMYrUmr/lu3iKeYv12If7ONk1wOpr6xqYkZkseOVT41pIVbctu igmdv27o0Wk1zC+3xQZ8ejo7bhQwc2IW9sv2iqOeVtf2fT2dFG3xf+kr1OjEdgMRazYH6XAo9BHN 1NH3FhbA9DXFNmNmEruTQrTfUhuIZamPy/sElr6++q1PT/lClKZ1WkS/I+bvOpKF/4tZc70dRHEv xzT6+Dt71t2VfPdWzr9TCB5nQrxnjh4CGJSZiLm80ha1k2JiDjH9vewzwud69qNsihXxvnyHes6/ VXJ+pGPL4KjsSIA0c4g5iAKGhr+mv4h6+R6zeC0YnQ3gKKdchcixs5FkRc8OSy3zIRRC0FZm9DoX Qx1NIcSr/iUOZh3EwpkQ73kVCoQj/p/T4027KESKuV7vgjEp0xSiwDtIawGeSu1MiA9YTFvh/wXE HEIhxIJpCpHx1virojZvDcU9XZnrewkJl4dXSg98xwdQQL2bHO5xBKy+wNjIUMwoRezYWT/ZEgwN TJdNhlBUQKtzmMH8iaIQvWldagoxAiIUA8QCQLfwIpC26KAwRlsUf3qlchByXWdXigKGzChjcLSz aColF23GEkeFVtS6gln7L0BR8Q6Kt1QUkWKTaYoK5vPeVxQz+A8oCulBKoo6I286cBeA6RcQi3eB YtVB0bBr/YHX1/fqORFjWqjeTNRkWxiK3LwdYlczKxbOAjBdhwX5rVugmHRQVC9UfFHv2/z9jamX t28+xXQ6ohkUBZggNSaZbZlxzFo3Y4IEoPdAAThJir1edBTFz24+tTEZ/3J9lhRHvKfkAhI9qSpa Py90KnXpLACTV+qB/OZAATGTFPO9ohDqeNV8daPrZTfbKYoVdlmyLjaQ6F6RFs9KncqRLgCvKjKC y+FJ0R4wXZakaP5hrl7lAMU/nuVzonp/Vnj9SAGtUxgKUCipVNuaWYd2tqULwLdk7ZFBowiK53RI ElDoRUdR/FV2Kykg4+eZeqkDtA7XFDBPr+zl8sqa7zYn72xrs9x+Aa9oDRTfLq1HFKFQkz9Q71ku 374KZuqmZJKikm0rrdaWG3sp7ExhUykoBZm5Bt8iB4opJ0OSgEJNQYni10wUf6PqRYi1oriVxxhL ClAK5V1tDnZexFkAbsvSfGlRLDhOaxNLm6KowbaxhaSYoFhLCpjnYpoCGzaPULQloeD2SyVrQOgI PFv0UeyAVFFgxoLizCQejjiA4gH9WHYBxU7WQFuCSNgOOEUxg8pjC5ROmNkTXaGsi516+QdSAI8a BXVR2OaZqGOp8bT1rXkkQQHmm2mKFWTcqLqYK/0Cig36sRdQYN2BE4lW1o7jExSy3hVFDv8pCmid 0lAU3HpXQyhgVHuEJMHKkg44QXGP9S4poFdnmgKcPa4p/jcjOr951U8B6nQLFJ8rScwkRY71LiiW uDSGYs3UaHBmKCBRo/ND6gLtJVBcc2cCI04BYlEChcr41lDkuiIrNUA13WiaotQUoJ4NkyMZ56Wy cYqtJBUUDF76Af0GaKrsXUp8cCpXvvQbGnFw0UchrYU6stzGTFHIbhMosPlQuZFiqysSGgynIUqd V97fIqhS4PdCGl3zWpJCigXIBcaA9pcUt7oia5WWWXGof62fAsUCcl9x9/1dUQpd70hxK+sFW0T1 6iIsubxsBsf3/dIJVg9f/IpFpMPqKMVWdTRAofsNrAvVOlw5K9QI5/0UUq0msiKd8VOUYqbqHSiw W9MUOyoWkJZxd8WYs5cC0sT3AUMazvgpRmHqHSjuVdeNFBNdkdBgODul49X99kL26hATcJxXgsUo aqZIgWKmbDTIhW4dKVo5J4PjXT+FrLu1bAx3niOgaMr9TpdRUJiMoS6qUlfkRE9D6Hiz/p5dqlQe EYtoXdxq+ygoKuVOIMW9rkggwNmpUkcr+ikgaq7Fwn2PSqwuTL0Lip02EEAx0U0ABI7O1/39CE74 MiiSZ77jdbE19S4otFgIbxu8HIW3UmmZOfZdP4UUi5Uy3UUvha73WljwQr/pblmy2uDl0gTZrmDS T4EqBU1dcadXj1KIFtECvMV+RPll72gLzqVooViYWKyfAlQ8h9yhIr3X60StllprumV3ZyMWz5QF 59yKhbEWOObspkCxwLmXUCzidSGL3+ZowZVYvEALLvO5Ve6asRb3/RQ4hYMxmdurJyl0t6ksOIRV qyw4V0awdDqRbgr4AqD43m4UCy/XGIUq/o5Di6gWzJFCS63XFSBOT13MsVcvzZCkl0LZohlSTFTG QKEqEhrslpOuAFuwmwKi1gwqBKV0AIUSiwIoTMbKgks8ToeGSta6KaSzF/gDHRRmNUJQ4M6qf7XO wGodl7+p8NyuQLZgNwVYWRQLEIlgVjRCMTMU5d3Ovp2nZLdLXJMAgntOBnhSgDcHW0RfOldSLAIN T1HUzU1hvrCFafqjaBEo8vtSvKBxjc5LAd4crOQ7W2AEhayFUht+m0OCoqKLjmxhxagpnzFJcSv1 vXXFQlDQBdTSxmz5Dfo2UizKiFgEFMvmt+wX9j/s8035GUjxU+EYQAnw5mD9WWcBuBXjQVQOyJ2O 8pMU7Sfoz0LYd+3npoSRWPNVlAJoKNurS5yNs/T6ZZImv5LKAWIBMT3zHVLUz+iiI6NTpziq251Q CuCjoVV2bf1F8nD7y5QC35OHYgEVGVnU8ii2Tep3OC3OP9+e0JNnXq8OgU52N7/irIAWcsJXOXuR RS2PwnOBmPd0U5wCT17L2uFPyHO0LO3HcWh4HQznUhQtbtqBRcrp9BfvOP+O+JD9U3Wv/e93dXnS nrxeN40uzLRT93shwD4PD0LMyOqFS1Ex8iqzibuaWuM66mHlm+9b3htwwveV1nDWR7EjZRQxzCsh z1M5Mt3zQ+DJF/0U4Nusf1jEe/WQQlTYJ00BhJe50F9W8skDB3WMikVXALEoYLIaRCL2LkWHAmaw /oX+AlOKmgJmgt+RFFwqhWmHAet1aL5xF8yMx6yFRyFSPJpdzLCMqylEgbcNFuogG9bq/ID1Oqkc 0aFhjAImNjUFDg01BUwlQHtugEIuReo4ylq0PB2gFg6wFhIZA0QoJqL4mgKHhpriFpx4pFjLRE1X ELw8MBKkd/Ug6+2eRwKlwJk9TYFjUkUBUwn4ElasC6dx2/J7b2cfAx1+/d2PySJrwQkAAAXcSURB VEzf/VOPouCgbQ+yFyY71uIUuIyrKXAiXFHgDJOmcLuC4KWSkSAerjdqC6E/Bggp7qFNFAWoS6kp tuBXaLkA42nFYgiFeHi1cJd00hQtzuwpCqwXXX0TVFVF4Uz4hi/kjVK0xUJuk0ioFKGQE76KYo9t v5B4hVz5lxSuzg+rC9C2B3fyJ0WxxTZRFFh8VRdyJkVR4BROcQmFsC+gbRv0B1gfhZyqkBRqInyB X+QUjqLwuoIhFLBIJiiCmb0YhRQLRSHFQlHIepE6crrnjs4PokBt20THAD4F7jjXP4pUE75IIddH VF0cvQHeIArUNuhTUy9RtRT3klTWRS5bECkqO3u+wTcv08YdRLHDpdeS64mRDgo1o4oUSiwkxUr2 oIqCu407iGIGcg4lSb2h3VCoepctslVtjxRqJhgoDu5YnXf3YvoR2GI6d/2BFEWtbBHWxUq1PVDU ql6QIvDkE7+lcShgtLdx/YEUxVbtkESKay7HVkBRlbJekAJ1vqQU9EuCAre5QfRor+5QLNWPnoCi zdSv2RYSb2Iogq6ghScb2olvaV8K61r426qNZ/gTFNpeg1y0pVJYuHJ/Py2w1OL/PfCs3QQy+vLf a273YkKpkAJ2+L5Mm29KMVcUH/oUG3UD6mJbhGm12sbACuXJbMSWSRa6YD9iHWIRUmC5dMJTWSJ7 owwbt9EPi0r497d6l8u7zFIgP+/a70gp7uDfLaFoM0KxlRUeNG5Lka8VhY5ZaH6ImXaUA4oZSVjO ICoKPdXqe/KGQuT4gaaoKcVWSmrHfkefAg2UlgvUUEWhR9yBy6YpsKX2ikLHhGLgkg6jDlonBdNp 6YRzQiHnhCI6rx/GltIUMxUTkIHgyDv0lP4+VeklJlyiREmZPsgbeso2SEs8jAYUW/0kd/XJClNJ 6mXcjvGTTzEhFLIKFcVKiUWwx1lRSGRFoeYebcFiE74xCqmpshCKQhZ7LdMq1PxckaCQGSuKe1ow NeGbNN8hRaUTBooZoYB6iXvyikIiK4oJoQiWdPop7gmFKrakAIJrHhvgNZJiQij03KMpGIhE12yL pmikccoJhYKXFGoiJtK4FVIo6ywpVExJoSZ8O7erawrYfr7Qvpyk2BMKPdUa8eSXSKHcckmxohQD xMJQ3G/0tjxNoT1VpAB305mBt+HnkGJHKHRMTFIv6XRYC0PR5hu9LU9T6GIjBRBA2mHjNs+RYkYo dLExya4pHJ+ihs3yC10IpNAyvVZ47gy8CRXqiG51pNAxkSI94RtSbDGK7nqxH9HFBgog2PJoV3CL FDomUpjdbKpgiQnfkGKCmqrbDil0sYFCT5iGetoWSKFvAIWZ0NQFS83s+RSivoBCW2doEVNsoNDm O2zcukQKHRMojDZsVMFwD8oACqEC4rFvF4TCaIOg+E7O5aCsCOLv0HaaG0Bhd7PJgnmj/DTFPcL+ kb4IFKbYguJbZWQvjQwz6NkbcwMoTLEFBfzoLDmz51PgEA5/GGMoDLygmMp/In0z7JMXFOaGoPih ibmRMaP+QISiIW47mXvP3lJDjOmHUtsiesqQwnT3J318iaLQbmLgDwyjsAOdXA4xyqieVpk7Krqm oyKVJOufLJcUz7/4xQV+3f5Zln2xwI/N25k6sQIpeNR8V9OOsZmi4P2T5ZKi7HlK9laRvjl6jIkb YJgVnfB9BEUTN8IDKSIxH0VxjmvbAIrzgDWUCyhi1TqMoncNZSjF67gPPYDiOGBpTVL0p3WKG+EB FKfkzN5jKKJ98yCKjqHhxRTRah1E0WO+L6KIVusgik5n7zKKeLUOoeh29i6iOMer9VX0qhOOA9Y6 B1PER9wDKBL8EQrR5zw3ndCV6LzeusKP2Mv+AjxSx7WN7gFKhLqnV3co+gKLRq/6IyZihhT8y+rY qc99BqIVf/tB9t/ksqRdLo1HH0LRD9Hz2/43CV95D0s2QHI+SopLwkhhw0hhw0hhw0hhw0hhw0hh w0hhw0hhw0hhw0hhw/8HR/S6xfz7uz0AAAAASUVORK5CYIJ= ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image004.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIf IiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/wAALCAE5AnwBAREA/8QAHwAAAQUBAQEB AQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1Fh ByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZ WmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXG x8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/9oACAEBAAA/APZqKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKo6rq kelwRsY2mnuJRDbwKQGlc5OATwOAST2AJrDn8VXEvhtNVht1tpBqUdoEZw6yjzxExUjqMFiCPSuq ooooooooooooooooqG8uobGynvLhtkNvG0kjY6KoyT+QrjrHWLq4TU7+/ury2kGmm8jgZ18q2hYE puwoxJ8p6k8A/QdTot1PfaFp95cpsnuLaOSRcYwzKCRj6mr1FFFFFFFFFFFFFFFFFZuu67Z6BYrc 3bHMsixRIoJLu3QcfmT2ANZX/CSPd6doF8oa2bUb5Y1jVg4dSr5z0OMDPQEHGQOa6eiiiiiiiiii iiiiiiiiiiiiiiiiiiiiiiiiiiiqd/pltqT2r3AffZzi4hZHKlXAI7dQQxBHoapQ+GLGD+zoUMn2 PTBm2tWbcqv2ck8kqCQOwz9MbNFFFFFFFFFFFFFFFFR3EEV1byW88ayQyoUkRhkMpGCD+FZs/hyx ltBZopitmKeeg+Yzqn3UZmySvGCO44rVAwMDpS0UUUUUVma/4g07w1pjahqcxjhDBFCqWZ2PRQB1 JxXFt45t9eMSvqz2UVwMRadpqtJezNycM20bOAPu9Mn5qoeJfCk0Hh2+1xY7nRRZQmaG2jv5JZZS P+erFioHsuevWvULSc3NlBOVCmWNXIHbIzU1FFFFFFVb/TbPU440vIRIIpBJGwJVo3HRlYYIPuDV e30Kxtby3uIo9q2kJhtoQBshB+8VGM7jgAnPb3OdKiiiiiiiikJwMmvO9R8eWuvXYtNJ1s2NmjlG kgjLXd62OEgVlwBnjcevbpmrXhmLXtM8T2kGqX93NBqNjNJHaXU3myWxRo/vMAAzHf2GFxgZFd3R RRRRRRWT4j8S6b4Y043moSkbsiKJBl5Wxnao/qeB3rj91/4yLSaZrd4Lh2Cyy2Vy0drp69doAwZp MHvx9BgHp/A89zceErR7y6kuplaWNppTln2SuoJ98KK36KKKKKKKKKKKKKKKKKKKKZJIkMTyyuqR opZmY4CgdSTXKSeK/EN2Dc6J4TN5p5J8u6uL9LfzVH8QUgnaecE9Rg960PB/ib/hKtGe+a0+ySxT vBJEJN4BXByGwMggg5xW9RRRRRRRRRRRRRRRRRRRXMeNJPKk8Ov5TS/8TuAbVGTyrjP4Zz+FV/Fn /I6eDv8Ar7n/APRJq38Q+fh/rY9bVq29NUppdoh6rCgP/fIqzRRRRRRRRRRRRRRRRRTZP9W30NcB af8AIieB/wDr7sv/AEE1q+ItNh1XxroltPLcxKLO7bdbXDwtkND/ABKQcc9KvQ+ELKCVZY7/AFgO vTdqc7D8ixBpo8NX8CsbXxXq6yNxmfyZgB9Cn60htvGNuhEWp6Teknjz7R4do/4C5yfwFNOo+LrT aJ9Asr8ZwXs73YT77JFAx2+9Tp/F8dlK632h61bImczfZPNQ468xluO+SBUsXjTw1KiudatIg7bV E7+UWPsHwT1Fa1vd212GNtcRTBfvGNw2Pyqaud13/kbfC/8A13uP/RD0vh7/AJGLxP8A9f8AF/6T RUngP/kUrf8A673P/o+StmbUbG2kMU97bxOOqvKqkfgTTre9tLskW11DMV6+XIGx+VT0UUUUUUUU UUUUUUUUUVxepaxDrniK40p3m/snSyv20RW0kv2mU8iIlQQEXgsO5wOmc3BcJ4xuZbO3YpotpJ5d 1w0ck8ow3lbSAVQAjP8Ae6dM5l8JAC48QgDAGryAAdh5UVdHRRRRRRRRRRRRRRRRRRRXM+ND/wAg BNqHfrVuMscFcBjkHseMe+SO9VvFn/I6eDv+vuf/ANEmrfxD/wCSf61jr9lbFWrDxHoq6fbCXW7A yCJQ5N2hOcDPOasf8JJoP/Qb0/8A8Ck/xoHiPQicDWtPJ9rpP8avQzRXESzQSpLG4yrowYH6EVJR RRRRRRRRRRRRSMyopZmCqoySTgAVz9zql/rYe30B1http36q6b0BGRiJTjzDx977o9+lc9af8iJ4 H/6+7L/0E1f17WdN0r4j6XJqF/HbRrptwCZXwoLPHj2ydp/Kun0zV9N1m3a40y+gvIlbazwyBwD6 HHfmrlFFFRT21vdRmO4gjmRgQVkQMCD1GDWPP4I8LXDh30CwDAY/dwhP/QcU2TwVoskjORfqWOcJ qVwoH0AfArLutFj0rxl4baK+v5kaWdFiublpUQCB+m7nPvmtDQZEi17xTJI6oi30ZZmOAB9mi5Jr ifD+vfDx9FSy1q9ge4a6mZ0m80pkyuVOfugYIOenNd9beD/C8MWIdB01kb5tzW6Pn8SDQ/gzw006 zrotpDMqlVkt4/KYD2KYPeozoWr2EYGka/MQvIh1FPtCnrxu4cdu56U6O78VQQyG40rTrp1A2fZr xkMnrw6YX6ZP1rO1LxhrWj263GoeF/LjZ1jVU1CN5JGJwFRAMsx9BXSaZfpqem298kUkKzxhxHKM OmezDsRVqiiiiiiiiiiiiiiuc8H/APMd/wCwzcf+y07wz/yFfEv/AGFf/aENJ4T/AOPnxF/2GJP/ AEXFXRUUUUUUUUUUUUUVT1HVtP0iETahdxW6scLvblz6KOrH2Fc7feKtWFut7b2NnpliR8smtTND JKcZwsagkcA9eT6UvhnxTrOp64+natpMVoj2pubadGYeaoYKTscBl+8OoB9q62iiuZ8XSwm+8O25 uI0nbVo3SM8s4CPnA9Oevbiq3iz/AJHTwd/19z/+iTVr4ikD4fa3kgf6I3Wrem6BozaXaM+kWJYw oSTbJnO0e1Z97L4cjnNnpmgWmq3veG1t4ysf/XSTG1PoTn0BqODwTBqLLLr1ppvl4VhYWdsqRBhz 8z43Pz9B7Va+HyqngjTlUBVUSAAdAPMaukooooooooooooqrqGo2ml2pubyURoOAOrOeyqByxPYD mshbG+8RnfrVubPTwwMen7wWlxggzEHGMj7g49SegfqetGF20bQraO71FY8CMcQ2oxwZWH3RjovU 449a5w+H/ElpoGlWF/f6LYWWjvFJ9tDOzDywQCVYBe/c/nV3T7CfWY5E0w3FjpVwwebUpDi71DOc 4yMovQBuDj7oAwam1DTrHwpe6be6PEkDfLaSWEIy13ESMFVzy6E7tx7FsnmutpaKKKKjnnitoXnn lSKKMbnd2wFHqTXI3cmteJNT07V9Cs7aOzsGeSCa/d0+1b0K5VQpKqAc5PXjAxzVG50/ydTuf7Xu F1O71GdJxolgP3ZkVFQNKx58sbASWwoPYnAroLXw0l3JFe6+sN5cIv7q22D7PagjBVF7nHBZsn0w OKj8LTiG7v8ARrVjc6dYMBbXA5WPJObfPcx4AGOxAPI56SisbVNfMN0dM0q3+36oVz5QbEcHoZXG dg9B1PYVRnsF0LTr7xLrEyahqdvbO/nMm1IgASEiXkoOxPU9TWl4XtprTwtpcFwzPMlrH5jOMEtt BOffNatFFFFFFFFFFFFFISACScAdSa5fwJPFeQ63d29ws9vPq87RMmCpHyjIPcGrHhj/AJCniX/s K/8AtCGsjR9S1az1PxBHYaBLqER1VyZUuoowD5cfGGIP/wCutb+3fEf/AEJ1x/4Hwf8AxVQ2XjGe XxPBoF/ostjczxNKpN1FIAB6hTkZrqKKKKKKKKKKKK4XTfDGn+INe1rVNQkvWu7XUXt4JYryWMxR hIztXawwMk9K1/DWg2FsZLt1lu7uG4mijubuZppEQOwADMTjjjilk/5KTb/9geX/ANHR10VVb/U7 LS4RLfXMcCsdq7jy59FHVj7DmsaK+8Qa6+bO0OjWByPPu03XL+hWLog68sSePu1m674aGkwadqOk 6bPql9aXscs8jyh7mZAjqfnc+rA4GB7VS1C88Ta/r2iTW3hGWzNhPJKZr6ZQgBjK4ypJxznGOcDp Vy6W3gv4l1u9l8RayNpi0y1QCGM9mMWcLg875CenHTFav9k6xrTK+tXn2O1BDCwsHI3e0kvBb6Lt H1rZsbG0020jtLG3jt4IhhI41wAKsVzngD/kSrD/ALaf+jGro6KKKKKKKKKKKxNW8Qm3u/7K0m2/ tDVSATCGxHbgg4eVv4V46dT2FLpWgNbXI1LVLo6hqhBHnMu1IQeqxL/CPflj3NV/GXiq08M6aglv YbW6vGMVs8wJVD3cgDkLnOO/A71yNtP8I0UK9/bTTvjzZ5JJQ8zd2Y9ySSfxp9zH8LL20KWmrWVp OxzDOLlt0Tg5VsMccEDqMGtvTvHEmtWSWmi26X+qqWindWzbQFcjzGkHBVsZUDkg9ucbulaFHp9x JfXM73uozDEl1KOQOPkQfwJkZ2j8STzWrRRRRRXDa7rPh7W9dk0rV9ZsIdLsCVubWa5VDcz8YBGc 7U69vmx/dqH7L8KxwL7SR/3Ef/s6qHX/AAh4Z1iC/wBAuLcwS4tr6K3R2V0B4mDAEMyc555Un+6K 6f8A0/xUrjdc6ZpBOFZDsuLsdcg9Y0P4Mefu9920tLextY7W0gSCCIYSONcKo9hUjMqIXdgqqMkk 4AFc8dQvPEzNDpEj2ml4+fUgMPN6iEEdP9s/gD1rW0vSbHRrQWthbrDHnLHJLO395mPLH3PNZvjl l/4QzUYmzi4RbfI/hMjBAfw3Z/Ct5RhQOuBS0UUUUUUUUUUUUVy19LL4tvpNItQP7Fhbbf3Qbi5P XyYyO399v+A9c4XwTGIf7eijiEcKavMsargKAAvAA6AVL4dkSHUPFEsrqkaamWZmOAoFvDkk+lO8 Hq0lvqeoKD9m1HUHurVzx5kRRArY7A7SR7YPeresavJayxabpqRz6rcjdFC5wsaAgNI+OQoz+JwB 7ctc6Kui+NPCEUcr3M8sl5Jd3UuN87eUMsfxwAB0HA4rv6KKKKKKKKKKK53wn/x8+Iv+wxJ/6Lir R0T/AI9rn/r8n/8ARjVi6nqVlpfxCtp7+6jt4zpMiK0jY3MZo8Aep9hVlr/xBrQxpVoNKtSR/pd+ mZWHfZD2+rkf7tXNO8N2Gn3H2x/Mvb8j5ry7bzJPoOyj2UAVrVm6nr1hpbCKV3mun+5a26GSZ/8A gI6DjqcD3qh9n8Q63zdTf2HZt/yxt2D3LD/ak+6n0XJ/2q1NN0iw0iExWNskIbl36vIfVmPLH3JJ q7RRXOeAP+RKsP8Atp/6MaujoooooooqvfX9pplnJeX1xHb28Qy8kjYAFcZf+L73UkEmh30KCRsW kEES3U91xncy7gIl929s46Vu+GL/AFJtGmbxFcWn220lZLh4TtjQABu/TAIqMX+o+I2K6UxstMyv /EwIBe4XPIiXsO28+uQD1rY0/TbTS7YW9nAsSDrjlmPqx6sfc81apjxRyY3xq2Om4Zpv2a3/AOeE f/fAo+y2/wDzwj/74FPSNIxhEVB6KMU6szXPEGneHrRZ7+dUMrbIY9wDSv2UZIH4kgDuRXH6j4h8 UXhkbRb+xMyxmV4IrfzoLWMAn97PuwXIB4UHkenNdpoV5LqHh/Tr6fHm3NrFK+BgbmQE8fU1fooq JraBmLNDGSepKik+y23/AD7xf98CpFRFUKqgKOgA4p1UtT1az0mFJLuXDStsiiQbpJX7KqjkmsqP Sr/X9s/iFEitDhk0pDuUHsZW/jP+yPlHv1roQAAABgDoBS1yurTS+LSdI0oIbFJUe61BgSmUkVgk XZ2O0gnOF+vFdVRRRRRRRRRRRRRXP6zd3OpX/wDwj2lzNDIyb767j620Z6KD2kbt6AE+lbFjY22m 2MFjZxCK3t0CRoOwH8/rXJ6RrlroF7rVpfwXwlfU5Zl8mxmmUowUqdyKR07Z4qpo1lceJtX1uO5t JotAmvluSJ4nie8by4wEKsAQgKZP944HTOep1/Wo9B01Xjg+0XUrCGztE4aaQ9FHoO5PYAmk0jTT pdvLqGqTxSahMm+8ujwigc7Vz91F5wPqTyTWSujW3ja4g1nVYZBYwqw06AO0bFWPMzFSD8wAwM/d 5PJ4y9a8KaRdagugaJFPBesgkubo3M7i0iOQDy+C7H7oPoSenPVeFLlbvwppcyuzg2sa7nOSxAAJ J9citeiiiiiiiiisLw1by211rwlXaZNVeRec5UxR4NT+H7iKeC+WNtxhv54346NvJx+RFU57ff8A Ee0meHcqaVLsdlyFbzY+h7HB/I10VZ+q65p+iwh724Cu3+rhQbpZT6Ig5Y/SstT4g8QowdZNAsXU bcENduD1z1WLj/eP0rV0zRNO0cSmxtljknbfNKSWklb1Zjkn8TV+iiisvVvENhpDCKZpJ7p13R2l shkmkGQOFHbkcnA9657wtrSeHNBtNM8RWs+kSru2y3ABhfc5IHmKSoPPIYiuzR0kRXjZXRhkMpyC KdRRRRRRXL+ODbj/AIR8Xaq8LazCjK67gSySAAj6kU3Q7eysfH+vW9vBBCz2lrIqRIF4/eA5wOOc VFY6LBrWu6rJf3T3NraX+E0/btiWTZG29/8AnoehGeB6V11LRRRRRRXLahY2eofEW1ivbSG5jXSJ WVJow4B86PnB71R0m0gj+H3iC2gso3j8/UVFumEDjzJAFz24AHtXQ+Ff+RQ0bnP+gQf+i1rWoooo orD1XX5Ir4aRo8C3uqMAzKzYitlPRpWHKgjOB1P61NpegxWN3JqNzM17qUwKvdSDG1M5CIvRFGeg 69yTWtVbUNRs9Ks3vL+4S3t48bpHOBycAe5J4xXPi01DxeVmvzcado2cpZY8ua6HGDKeqqcH5Bgk Hk9q6aOOOGJYokWONAFVFGAoHQAU+iiiiiiiiiiiiuX8ZeMLfw7FDZxuTfXeQmyJpTAneVlUEkDI wO5/EjJ0Xxr4T0SxFtAdTkdiXnuJdPlMk7nq7nbyT+nAHAq//wALO8N/9RH/AMF83/xNWLb4gaPe Bja2urzhfveXpk7Y/wDHaW68eaZZ20lzcWGsxRRruZ5NMmVQPclcCptB066ubtvEOrqovbiNVgtw dy2cXXYDjljnLH6AcDmCQf8ACZ3LRZz4fgcpKCpH26RWHHI/1akHJH3jx0Bzf1rU7i18rTNIijl1 O4X92jHCW6dDK+P4R2H8R4HfDYY7LwhoEs93cSTFP3lzcMuZbmU8ZwOrE4AA9gOlYXhjU9Y0jw3p 2lN4T1SS4igwWLQpHnJ4LF+OPatHQPGY1nxDeaFcaXNY3dpH5j7pUkQ8gEBlOMjcK6aiiiiiio57 iG1gee4mSGJBlpJGCqo9yawT4jvNVcReHNPNxGQf+JhdAx2w/wB3+KT8AB/tVN4aivLdtUh1G/S+ uheZeVIhEMGKMgbQTjA4684rE0PxFYaXca1ZsZLm+k1a4aOztk8yZx8vOOw92IHvVwXUllrI8QeI 7i10xfsrW0FispkkIZ1bJx1b5QMKD16mpzceI9clKWsP9h2AYgzzqHuZRzyidE7ctk89BWjpfh/T tJkaeGJpbqT/AFl3Oxkmk+rnnHsMD2rTooorO1TXtP0golzMWuJTiK2hUyTSnBOFQcnoeelZqr4i 15d0jHQbJv8Almu17tx7nlY/w3H3Faum6Np+koRZ26o7D95MxLSye7OfmY/U1cZVdCjqGVhggjII rnrnwlYWsz3+k3s+hShfna2ZRCQP70TApx64FUND8ZXc/iCDQr2KG985XMWp2IYQSFPvD5hjI4zt Zhk44rsqKKKKK4Hx/rNncajoelQM0txb65ZvOUXKRZY4Vm6Bj1A645rRsGU/FXVwECldMt8nJ+b5 35/pU/hy7todb8RwS3ESSvqmVjZwGI8iHoOtdKCGAIIIPIIpaKKKKKK52T/kpNv/ANgeX/0dHVTQ v+RR1v8A6/NR/wDRslXvCGo2MnhbRoI7y3eb7BAPLWVS2RGMjGa36KKKa7rGjO7BVUZZmOAB61gi /vfEbAaRN9l0w8Pf4y83J4hB4xx98jvxnrWrpul2WkWotrGARJnLHJLOe5Zjyx9zVusvUtcispxY 20ZvdSdd0dpEeQOm5z/Ame5/DJ4qC00B5b9NU1mcXt7HnyEAxDbA9kXuf9s8/QcVt0UUUUUUUUUU UUVka/rT6XHDb2Vt9r1K8Ypa2+cAkdWc9kXqT9B1IrC0zR10nx5ZSSv59/daXcPe3RzmZ/Mh/JR0 UdgBXaUUVznxB/5ELWf+vY/zFV7mS58TSjRdPuTFpsCBdRvImO6Q4/1Mbc/8CbJx065xqatqcWg6 fDbWVqJ7uQeVY2MZC+YRgYH91VHJPYCo9M0+28PWV3qmp3KG7nHnX95I2F4H3Rnoi9FH9Sar6ZDL 4hv4dfvBJHZRrnTrORcYz/y3cH+Ij7o/hB9ScSazqE99eHw/o9wYrtl3XdzGAxs4yOvP8bZG0emW 7c1bayt9O8e2VnaRCKCLRpQqj/rtHk+5J5J6k11NFFFFISACScAd6428+IVldXMtl4fudOuJY8CS 7vLtYreMnPT+KQ8dF46c0tvF4cmnju9d8T2WsXUbFo/NuY0giPbbEG25x3OT71vjxJoGONb07A/6 eo/8axdUh+H1/cS6jqL6PcTsB5khlRnYAYHQ5PGBSaVHPJAIvC2kW2jabIGP2y4gKyMc9Vh4J+rk fQ1s6X4es9Nk+0s0l5fsgSS9uTvlYZzjPRRk9FAFatFFFVNR1Sx0mBZ7+6jgRm2JuPLt2VR1Y+w5 rIW41rxEg+zxS6Np7jJnlx9plU9lT/lnkd2+Yeg7aOk6Dp2jK5tYSZpTumuJWLyyt6s55P8AIdq0 aToMmsG58T+fdGx0GzbVLjHzSq222i5x88uCM8fdUE1iXPlajeC31KeTxLd5OdPsQEs4CCP9Yc4O Cf4yT6LW3puhXp1K21TVZ4FktInjtrOzTbDAr43cnlzhR6D2rfoooqOeeG1t5Li4lSKKNSzu5wFA 6kmuca51XxTIYtPM2l6RxuvSNs9zyD+6H8CEfxnk54HesnxNHGsOm6L4Z02W9bT9ThurtLcK3lqj bmDSOceY2QeTuPOeDzHcR61Lr2qa5Mr+HbCeyjglvL2WMyQBGJJRVZhzuABJ4OeDxTIvBeneKGVz pS2uklkla5uUJvr5hnku3zRp/wCPEdMCt7RivhrVI/DLuzWk6vJpjO+4qq8vCckk7QQVJ7ZH8PPT UUUUUUhIAJJwB1Jri5dWuJ/GK6vpejX2p2MVi9r59v5aq7l0fKl2XcuB1HGayljv7fR7iHxFBJZa ddX80kGm27hry/aSVnEbbTgLzggHnuQM50bf4eW+o79Q1W0tNOvthFpHpiCMWROCG3KAXcEA5PHY Dud/wzrMmqWtxbXjwnUtOmNveCH7pYdGHswwcduR2raoqlqmrWej2wmvJdu9tkUajc8z9kRerMfQ Vkf2Rd+Jts+vK0Fgfmj0pWxuHUeeQfmPAO0fKOh3V0SqqKFRQqgYAAwBSkhQWYgAckntXNzaxqHi C4ez8OMIbVCUn1Z1DKDjpCp4c5/iPyj3rY0zSbTSYGjtlctI2+WaVy8krf3mY8k/y6DAq7RRRRRR RRRRRRRWdrWs2+i2iyyq800reXb20XMk79lUf16AcmoNG0VrWeXVNQYT6pdD95JnKwp2ij4GEH6n k0avo1/e38N5p2svp0kcTRPiBJQ4JB6N0xj9aqf2J4m/6HB//BdDR/Ynib/ocH/8F0NSRaN4gUjz fFcr85OLGEZHp0qtqnhXVtYt7ixvPE8z2FzlZIRZxBih6ruA6++Kvzz6R4M0CKOOHybaHEVvbQrl 5XPRFHVmJ/qT3NM0XSZ4LibWtXkEmpXK4xn5LSLOREnt0LH+IjPYYqLG3jC/SeaMf2FaSb4FbkX0 g6OR/wA81OcD+IgHoBm/resSWskWmaaEm1a6GYYm5WNMgNK+OijP4nAHsWsFj4U0R5bu6Lbf3l1d yj555DwWOOpJwAB7Adqg0GxvLm9k8Q6vB9nvZ4/Jgtg2fs0GdwU9i5PLH2A7c79FFFFQXn/HjP8A 9c2/lXP+ENG0qfwZokkumWcjtYQFma3QknYOela/9gaN/wBAix/8Bk/wpr+HNCkKl9F09ihypNqn B/KsHWdB0+y8QeHW07SLGItqDvI0SJE/ETnPGCccnFdhRRRVTUtVsNItjc6jdxWsWcBpGxk+gHc+ wrJ/tLW9b+XSbU6ZbHg3l/EfMPvHD9McsR9DireneHLCwnF26teX/O69ujvlJPXB6KOAMKAOK1qT oMmsSbxRayXklhpET6peRsqSLB/qoSf78n3V4HQZPtWJqji5umttXuZ9Zuj8y6LpgKxKMgfvWyMg ZH3yAf7tadvoF/fwRx6rOtjaIQY9N0xzHGF5+V3ABcc9AFH1rdtLO1sYBBaW8VvEvRIkCj8hU9FF FUNT1i00sIkhaW5mz5FrEN0sxA52r6epPA7kVnLoNzrF1Fe+IZA6RNvh02M5hibsXOP3jD34B6Dv T9bvru5vodC0mbybqUCW5uBgm2gzgkZBG9jwoPue1Ztp4Pg0S3FpbeLNWtYyxfaZoMszHJYkx5JJ zyar6ppQ0ue11a81a61yys23z2148b+WMjEyKiqCUPPOeM45rYvvET3Uraf4cEV/ekfPNuzBagjI Z2HUnghRyfYc1Y0fw9Bpksl7PM99qU4/fXswG49PlUDhE44Ufqea16KKKKK4nWYrfx1eXelPqk1n pFkxhne3nVGup+Mr3+RBwcjlj/s1e/sAwgR/8Jpq0e0YC+bbjA+nlVS04WXh7xc7ahqf29tRg22+ oXcyF4tgy0PAAUHJYYxnBz0FaJvdR8TP5eltJYaV/HfsuJbgc5WJTyo/6aH/AICD1rcsbC1021W1 s4EhhXJCqO56knuT3J5NWKxtT1ySO4bTdIgW91MrnyySIoR/elcA7fYfePYdwul6CLacahqU4v8A VWXa1yybVQf3Y0yQi/Tk9ya2Kp6nqtlo9m13fTCKMcDALMx7BVHLH2FYiafqHinZPrKS2GmbgyaX kB5sHgzsOx4Pljj1J6V0scaRRrHGioiAKqqMBQOgAp1FFFFFFFFFFFFFUdY1iz0PT3vb1yEBCoiD c8rn7qIvVmJ6CuG0nw4nijxZq194ljmW/tDAbdILuVPsivHkopUjJ9SOCc10EHw90G2JNu2pREks dmp3C5J6nh6m/wCEK0z/AJ/NY/8ABtc//F0f8IVpn/P5rH/g2uf/AIuj/hCtM/5/NY/8G1z/APF1 HJ8P9AuJFe6W+uioIX7RqE8m3Ppl+KrN8L/CzsWa3vGYnJJv58k/991m6Z4c0bw98T7a1sraX59L kmjMs7y7HEgUkbicEg44962bxh4vvJ9Ji8waPbOFvJ0bAunHWFSP4R/Gf+A+tams6suj2kSQWzXN 3O3lWlrHgGR8f+OqOpbsPyqLRtMOk2s99qc8UmoXH729uh8qcDoM9EUDA+mTyTVPThP4lv11a5Qp pUBzp8DghpW6GZx6ddo9PmPJGOkoooooqC8/48Z/+ubfyrL8F/8AIkaH/wBg+D/0WK26K5zXyR4t 8LkKW/0i4HH/AFwfmujoqvfX9pptq11fXMVvCvV5GCj6fWsVda1XXF/4kNmLe1bgahfoVBHqkXDN 9W2j61Z03w1a2UouruabU74D/j6vCHZf9wYwg9lA7ZzWzRWTqXiG2sZvsdvG9/qDD5LO3wW+rE8I PdiPbPSub1Kee6nFrr9491PKoxoGkZzyCcSyZBK4HU7FODwa0bLQ9UvbRILox6Fp68LpumkK230e UdPogH1NdBYafZ6XaJaWNulvAnREGPxPqfc1ZoooorBvNduLy9fTNAiS4uEOLi6f/UWuQep/jb/Y B+pFW9J0O30t5blne6v7nBuLuXl5D6D+6o7KOBWnWLqPhDw/q1899faZHNcuAGk3MpYDgZwRVZfh 94SVmY6DaSM6lCZVLnB9NxOPqKG+HvhB5zMfD9nvbrhMA/h0ra0/TrLSbJLPT7WO2t4x8sca4Aqz RRRRRRXNSfDrwfK25/D9oW7nByec88803/hW3g09fD9qfru/xp0Xw68HwzJLH4fsw6MGUlSeR7E1 0lNlljgiaWaRY40GWdzgKPUmueTU73xQmNGd7PTGJV9QZNsko/6YA9v9sjHoD1rZ03TLTSbNbSzi 8uMEsSSSzsTksxPJJPJJq3WXqetx2cn2Ozi+26k65jtI2AI4yC5/gX3P4Aniq+k6BLHef2trM6X2 qncEcLiO2U/wRKegwBljye/pW5RRRRRRRRRRRRRRVe+vrbTbGa9vJlht4ELyO3YD+f0HWsfSrG51 a9TXdZthE6Z+wWjcm2Qjlm/6aHv6Dgd85MT6/ofizX7pPDlzqNvfvE8EsFxEB8se3BDsCOf/ANVa cfiXVjGpk8G6srkDcqy27AH2PmDP5U7/AISTU/8AoT9X/wC+7b/47R/wkmp/9Cfq/wD33bf/AB2j /hJNT/6E/V/++7b/AOO1DceJ9eUj7N4J1KQYOfMubdOe3RzUkfiXVzGpl8G6sjkfMqy27AH2PmDP 5VhXmm+I/EfjO2v4LK50O0Sxa2uJ7ho2lKs4YiPY7YY4xuPTJPXFdbcT2HhjRQIrcpBAAkNtAuWd icKiDuST+tVdD0ieO6l1zVmL6ldJt2bsraRZyIl7ccbm/iI9MVTdf+E0vTGQ40GzmIbkqL+VT094 lI/4ER6DnqaKKKKKKgvP+PGf/rm38qy/Bf8AyJGh/wDYPg/9Fituiud13/kbfC//AF3uP/RD1vTz w20LzTypFEgyzyMFVR6knpWG+tahrMbL4cgj8ll+XUroEQ/9s16yY654X3NSWHha1t7oX2oXNxqt 8G3LPdkERHkfu0ACp1PQZ963KKytU8RWGlzC1PmXV86F47K2TzJnA9h90e7ED3rA1PUL6WWBNev/ AOx4Lpf3Gl2DGS8uGwMguoyB/uD6tU2m6TqN3ZxwWtoPDWmOS0sMZzeSnsWcEhCeM/eb3FdDpuka fo8Bh0+1SBWOXI5Zz6sx5Y+5JNXaKKKKK4nX9Q1vU9WudMg0rUjpNuQks2nyxLJcNhWKZZ1KLg4J HJ55FXrLV7nTbOOzsvA+qW9vEMJFG1sqqPp5tT/8JJqf/Qn6v/33bf8Ax2j/AISTU/8AoT9X/wC+ 7b/47R/wkmp/9Cfq/wD33bf/AB2j/hJNT/6E/V/++7b/AOO0f8JJqf8A0J+r/wDfdt/8do/4STU/ +hP1f/vu2/8AjtH/AAkmp/8AQn6v/wB923/x2kHifUfMCt4Q1lRkZbMBAycdpKqS+ObuKVo28F+I yVOCUtkYH6EPg1Nb+Mbu6X914P18OM7llhjjwOMcs4B/D0qb/hJNT/6E/V/++7b/AOO03/hKNS2M /wDwh2tYXORm3zx7ebzVeXxteQsyt4L8REocHZBGw/Ah+R7imp46u5DhfBXiMdPvWyDvju9NPj26 Bx/whPiX/wABE/8Ai6WPx1dySKi+CvEgLHALWyKPxJfAqzceLL+1tpbifwlq6RRIXdt9ucKBkn/W 0lnY3XimGK/1tUTT5Asttp0bZVlPKtMf4zjB2/dHfPWukVVRAiKFVRgADAApSQASTgDqTXPz6nf6 6xtdAPk2uQJNVYArjuIVP32/2j8o/wBojFaWk6NZ6NbtFaoxeQ7pp5DuknfGNzt3P+RV+iiiiiii iiiiiiiiuKOo3OtazPe3Gl3t1pOnTyRWsEKRuJpY8q8jgtnhgwUfQ9cY1P8AhItYkG+HwfqTRnlS 89ujEe6mTI/GlGva3sJ/4Q+/3ZGF+1W3I/7+VPBrWpyITP4Zv4WGcL50DZ49RJVgapckDOi34Ppm L/4uj+1Lj/oDX/8A5C/+LpP7Wn3lP7F1DgZziLH576rXOualG+218MahcY+8TLBGB9Myc1Gmva2W w/hC/Uev2q2P/tSlh13WXmVZvCV/FGT8z/abdsfgJKh0CCfW5l8RatAI5Mstjann7KmcEn/po2OT 2HA75ZqUkviu6n0Wxn2aZCxj1K6jb5nbjMCH1wfmPYHHXOOkiijghSGGNY441CoiDAUDoAOwp9FF FFFV72+tNNtXur65itoIxlpJXCqPxNcLN4/uvFAmsfB9hLOGDJ9slgJXoeQCVUD3Zh9DXY+H9Pl0 rw7punTsrS2lrHC7J0JVQDj24rRorl/GVvrSz6TqmiWSXk2nzSNJEzfwNGVJAyNxGegOTUGgwaVr swuNS1VtX1CMtm2uIzAsHUcWzdP95sk+tdd0pay9V8Q6do7pBPKZbuX/AFVnAPMmk69EHOODycD3 rC1PU9SeNJNav4/DtpKSEs4HEl7cdgAwyATxwgJ56ijS9L1SRGi0ywTw3YSHMk0mJb6f3OdwU8nl ixHoK39L0HTtIZ5LaEtcSf625mYyTSf7znk/TpWlRRRRRRRWbpP/AB86p/1+H/0WlaVFFFFFFFFF FFFFFFFZviL/AJFrVP8Arzm/9ANHh3/kWtL/AOvOH/0AVLqurWOi2LXl/OIo14A6s7dlUdWY9gKx v7Ov/FSs2txPZaWWzHpob55lGCDMR0B/55j8SeldIiLGioihVUYCgYAFOoooooooooooooooorn/ AAbt/su92ggf2pedTn/lu+f1roKKKKKKKKK4LQtQvLzSH0HSJTHePd3huLsDcLJPtL9excg/Kv4n gc9lpmm2mkWEdlZRCOKMfix7sT3JPJPc1booooorA8RavqtteWmk6JawS397FLIs1zIVihVNoLEA EscuMAVmj4ewapdrfeKtRuNbmABFu58u2ibGDsjX+ufeust7eC0t0t7aFIYYxtSONQqqPQAdKloo oqhqmh6ZrKKuoWccxTlJOVdD/ssMEfgazF0TXNKUHSdcku40+7aamBICPTzQN4PoTu+hrPfXdR1O 3kubm7ttB0uOWS2lkV/MuJZVdkKxkjA5HHBY+go0jT71ogdDsTpETti4v9SjMl5cAfxAE9/Vz/wG t7S/D9lpjif95dXu3a95ct5kzevzH7oz2XA9q1KKKKKKKKKK57w8SfEPicZOBfx4Hp/o8VdDRRRR RRRRRRRRRRRRWfr/APyLupf9ekv/AKAa5zwvr0Vj4P8AD2nxRvealPp8LR20fULt++7dEXg8nrjA yeK2LDQD/aC6xq8wvNSUER4z5VqCBlYlP05Y8n2HFbdFFFFFFFFFFFFFFFFFFc0/gaw+1zXFvqes WfnTPM0dtfOkYdzliF6DJ5qKb4fadcP5kura40h+8/8AaUmW/XFN/wCFc6T5ZT+0da3Zzv8A7Tlz j064x+FNHw40xSGXVtdBHQjU5OP1qwvgeBJGkXXtfDN94/2k/P8AnFP/AOEOT/oYNf8A/Bg1H/CH J/0MGv8A/gwaop/AdpdBRca3r0gXoDqTjH5VEnw602Jw8er66rKcgjU5OP1qRfANkk/nrrWvCX+/ /aUmemK2tG0ax0KwWysItiAlmZjl5GPVmbqzH1NX6KKKKKKydZ8OWmt3Frcyz3dtcWgcRTWk5iYB sbhkdQdo/KqX/CHJ/wBDBr//AIMGqIeA7RS5XXNfBkJL41OTkn/9dSDwZGpJHiDX8scn/iYtS/8A CHJ/0MGv/wDgwaj/AIQ5P+hg1/8A8GDUf8Icn/Qwa/8A+DBqP+EOT/oYNf8A/Bg1H/CHJ/0MGv8A /gwarOjeE9J0MtJbwvNcPI0jXFzIZZNxJJIJ6ZJPTGc1tUUUUUUUUUUUVgXXhC1udSur+PUtVs5L tleVbW7aNGYKFBwO+FH5VH/whyf9DBr/AP4MGo/4Q5P+hg1//wAGDUf8Icn/AEMGv/8AgwanHwip Kn+39d+UYGL8/rxzUlz4X+1S+Y+u60hxjEV55Y/JQBUP/CHJ/wBDBr//AIMGo/4Q5P8AoYNf/wDB g1Obwgrtk+INeHAHF+w/pSx+Elibcuv66T/tXxYfkRVqHQnhQqutaowLFsvMrHn3K9Pam3Ph9rqL y31vVkGc5iuBGfzVQarP4QV23HxBrwPtfsB/Km/8Icn/AEMGv/8Agwanx+EliYka/rpypX5r4t1G O46+9MPg1CCB4i8QA+o1BuP0qePwy0aMDr2suWABZrkZ49Pl4/Cll8PXTvuTxJq0YOdyhojkdsZT jHtVWXwTBNE8Uuva88bqVZTqDYYHqK09D0DTfDunpZabbiKNQAWJ3O+Om5jyf6dq0qKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKrrf2bP5a3cBfONokGc+lWKKKKKKj mnht03zSpEucZdgBn8aIriG4BMM0cgHUowOPyqSiiiiioZbu2gfZNcRRsRna7gHFSqwZQykEEZBH elooooooooooooooooooooooooopAQQCDkHoRS0UUUUVElzBIxRJo2YEjCsCcjrUtFFFFFFFFFFF FFFUtR1a00ywub2eTdDaYM/l/MYxxkkewOT3xVwEEZHQ0tFFFFFFFFFFeea3J4s1Jr24khsptHiu Hghtku5bdnxJ5eZSFy6552qwB9+lM1nwRpulGx1d4bc3q6lZpELe3WGKEGdAdqjkk+rEn6V6NRRR RWF4s1XUdMsLaPSIreS+vrlbWE3DERoxVm3HAycbelcbZaNqGu+JZ9H8QrayXtrbLNPdu32osHyA IUZVSLoT90npW/4N0fT9A8Qa/pumQGGCL7McFs7mKEk/jXYUUUUVx/iW98UX2uSaF4dazgSO1Se4 nmkZZMOzrhCFYA/ITkg1h6H4JsvF+kQ32rWtvBaSyblhhJluJNpKnzbh/nOSM4XbXVfD/jwHo47C 3AH0BNdFRRRRRRRRRVXUdQg0yxlu7iREWNSRvcLuIBOAT34qG01qzvbi3hhZs3VoLuFiMCSM4zj3 G5c/7wrQooorO8QauNC0O51MwNceQoIiVgpckgAZPTk1xmo2PiXU762sdaghmuLtZDEkc7iwgC4P 7xFw8h5GNxxn0p+l+GLbwt8QNLW0uLhmvrW5NwvKwkrsxtXoOvTk+9eg0UUUVzHiPU9eOs2+h6Al qk0tu1zLcXDHKRh1UhBggt83GePasGw8H23i2Oa51EyosV1JA0jXDS3MxjcqcycBFyDhUUcd+a3/ AIdC4XwJpiXO3eiMq7WyNgdgnPf5cV01FFFFeb6tqXibUzb30kVo2i3t0lta28d3JEzl22K02E3E Z5Kgj0OaW+8GWOg32h6kqxfbTqVvCPs8QhiiU53BVHJyRyWLE+tej0UUUUUUUUUUUUVFcmcWsptQ hnCHyhJnaWxxnHbNcg+g3t54eNlc2jRanrhVdVuYwiqiKfm6cHK5Ve/zZOMHHZgYAA7UtFFFFFFF FFFchfxSR+FLnyVkBfV9zeW5Ylftg3E56DGcgds1e8af8guy/wCwrZf+j0q5qfiXS9KmW2mnM12/ 3LS3QyzN/wAAXJA9zge9Z8k3jDUkla1hsNFhBIja7BuJmH94qpCr9MtWHH4o8TxXa6fpcmm+Kpt5 WWW2jaBbcf7b5ZPwGDx0NdP4Y1i81iyuW1C1itrm1untpEhkLrlccgkD1rarnfFn/Hz4d/7DEf8A 6Llqnpv/ACVfWv8AsG23/oTVb0YhfGniYkgAfZck/wDXM1LL4ts3uHttJtbrWJowS4s1BjXBAIMj EJnnpnNQ3fjex0iBJtesb/SI2H+snh8xAc8LujLDJxnFX/D/AIk0zxPZy3mlTPLDFMYWZoynzAA9 DzjBB/GtWiuetf8Akouo/wDYKtv/AEbNTfAH/IlWH/bT/wBGNVXwjqthpHw80i41C6jt4zCApc8s cnhR1J9hzV06rruqY/sfTVs4SM/atTUjP+7EpDf99FfxrI1LxJ4k0mUWkbaPrWoyNhLG0SSKQDjJ PLgDkHLbR9a2PC2ualrC38WrafFY3dlOsTxRTeYOY1cc+vzYrfoooooornPEOgXur3rvHLB5T2El tH5yBvIkcgGQA9Tt4x7ehNSaVogj1w6m0RhjtbNdPs48kYjByzFe2SFA9lHrW/RRWfquuaZokSya hdpCXOI0+88h9FUcsfoK5PxjreoXnhfUEfw/d2lnthYXVzLGnHmKTlAxYY46+/Sr+sTufiV4ZhD5 iNtduAOhO1Rn8jUGuJft8TdIbT/sxlj06ckXLlRtLoDjAyTW0jeKmmcSR6PHED8rK8rswz3GBjj3 NJO/ixdv2eDRpOTnzJpUx6dFP+fWomvvF1ug8zQ9Ou2Yn/j31Bk2/XfHTR4h1xCVn8HX+8HrBdW7 ofoS6n9Kkn8UNalFl8P60WZQxEVqJAvsSrEZrN03VE1b4gpKLK/s2j0qRQl5bmMsDKnIyee351f8 F/8AIKvf+wre/wDo96xvBHjDSv8AhGNOtWW6FwAYykOnzMgbcQQpVSuM+9bLeL4xIVTQtdkUHAdd PYK3uM4OKfc67rPneVY+Fbub/ppPcRQpjH+8ze3SnRS+K5ZsyWek28LDOPtEkjr7EbAD+BqNoPGZ YldQ0QLngGylJA+vm0nkeNP+gjof/gDN/wDHawIZ5bnwF4VuJ33yy6laPI2MbmM2SfzrZ8ceeLfR vswjM39r2+wSEhc/N1xzT3vfGtuys2i6TdqTgrBfujD3+aPFSRax4k8wC48KhY8HLQ6hG7Dj0IX6 daq6h41utKtHu7/wvqUEKDJZp7bn2A83JPsOat+GfFsPiaS7iXTb+wmtPLMkd5EEOHG5cYJ7dvcV v0UUUUUUUUUUUUUUUUUUUUUUVzF/EZPCs481otuos2VOM4u87focY/Gk8etby6VY2Mtx5cl1qVqq KkmyRgJkLFCOcgc5HTrWdqXifw94O1CXS9M09RqEuWmlaNljDFcgyy4JYnjpuPNUG1jQdZRT4n8V fak6tY2cUsNsfZuNz/ice1dDb+OPB9rCsNtqEEMS/dSOB1UfQBax/DPjTw7YnVhc6ksRuNTnmiDR Pl0O3DD5elbn/CwPC3/QWT/v1J/8TWVrHinRda1Pw/a6dfLPMuqo5UIw+URyZPIHqKs6b/yVfWv+ wbbf+hNVGOy0TWfFXia/1C4+06fbrbrIizk27FUyd6qcMQQODnHpTG+IumyMLLRnttOtYTt+0Xdv IBj0jiUAn6kqPrTtP1fwUt/DNqXiP+1NQZsRSX2QqMT/AAJtCr9QM+9O0Hxl4etNQ12SfUVRbnUP NhJif508mJcj5fVSPwrZ/wCFgeFv+gsn/fqT/wCJo/4WB4W/6Cyf9+pP/iaqaDq9hrXjvU7nTrkX ES6bbIWCkYbzJjjkD1FT+CbmCz8BWdxdTxwQxiUvJIwVVHmNySelc1o2oeHfBPhLS9V1S2nk1O4t i0SmNpZdvUhM8RryPQcip28a2OsTPHqfiS20y0cgpaWXmG4deeHk2/LnjhB2PzV0vhfU/CtxHLY+ G57U+R80scIwwz3bPJOepPNTeGYreOHUXhVVkl1G4aYBt3z78c+nyheK2qKKKKKKKKKzdS17TtKl WC4mZ7l1LR20KGSVx6hFyce/SqKnxJrK7v3ehWzqMAgTXJz/AOOJ6fxfhV7TdA07S5WuIYTJdyAC S6mYyTSYHdjz+AwPas34ggN4I1FT0IjB/wC/i0t2D/wsPSUC5VNNuTngY+eIfj16VFcSD/haNkiK JD/ZMwcjBMf7xCCfTPSuooooornZP+Sk2/8A2B5f/R0dJ4PkSLRr+SR1RE1O9ZmY4CgTvkk034eR JD4D0kRptDQl8epZixP4k5/Guloooorz20Ib4feEyFCg6jZ4UdB++re8XurT6BArAzNq8LrGD8xV QxY49AOTWvqOr2GlRq97crFvYKics7k9AqjJJ+grNivtc1oI9laf2TZupJmvVzcH0xF0Xn+8fwqa y8PabpUn9oXEst3dxqc319LvdQSScE4CDn+EDiq3hm9S71HW2h86e3e6WWG8ZAIplMajajfxBSpG fccmuiooooooooooooooooooooorG1PxRYafM1pAsuo34/5crICSUe7DOEHuxAqi1prurI0+uXia NpwQ+ZZ2suZGH+3Pxt47Jj/eri9bTUm0f+zvC11cXWj/AGtGVxaKkUGZgQEmJywDEHcFbGM5xxXT 6bpPiHSpHng0LSpbmQ5kubnVZZZXOMfeaLgcdBge1af2vxl/0BtH/wDBjJ/8Zo+1+Mv+gNo//gxk /wDjNI154zUZGiaQ3I4GpSf/ABqqF/4h8YachmufDelrCo5mbVwir7ZZBU/hjxPrniC/czeHRZ6W AfLvDchvMI6bV2gkdeRx6ZpfHTWTWFokuuf2TeQ3ST2rpCJ5GcBlwIurcMa4iz0/xLfeKdQW9tp9 TeSxikMV3ONP+0xhmC744w2ecjDFeOo5rsVu/GGmxJb2Pg/SvJXhUttRCKoHsYx/kUra147XGPB9 k2RnjVRx7fcpjax45cgt4KsmKnIzqinB/wC+auQan4zniBbw3p9tID8wm1MkH0xtjP61nar4v1/S D5U2m6RNdtxHZ2+oSSTyE9AFEXHUcnA5610uhXmpX+lx3GraZ/Zt0xO6384S4HY5H8q4rxdqbw61 d6r4b1y4a8trMR3dtaWSXKBULsC8jELGRuY4zk46djk+EdM8QHRdOuL7wpFrULRCaB7jU02Kr/MC sJXaD83fJ967CLWvGhc+f4Mt9mMDZqiE9fdfSo9PfX/FsS3cs0OjWQkkjdLRhLcSbGK8TdFHB5Az 155rPsF/svxzrMejaGZ54YLe1hCHy4UTb5jNJIc5Ys/YFjtz3rUsvCmswS3dyPEstlLezGeaCzto zCrkAHb5iseccnPJ5xVS8murW6+xReNNTvr3n/RbSztpHH+9iPCc92IpfDEni2HxXJZa9qQntnsj cJD5SFoiX2gM6KoLYB6DH5ZrtqKKKKKyr/xHp9hdCyDSXV8RkWlqnmSfUgcKPdiBWelv4l11Ve+m Gg2pzm3tXElw4/2pCMJ9FBP+1Wtpei6fo0BisbcR7iS7sxd3JOcs7Es3Xuav0Vm+IdI/t3Q7nTBc fZzOFxLs3bSGDA4yM9Kwv+ES1291mLUNT8Sj9xFJCn2KzWFyj4z8zFtpyq8gZ9+a6LTdH0/SYyll bLGzffkOWkk92c/Mx9yTV2iiiisLVtB1C61uDVtM1aOxmjtmt2Elr5wZSwb+8uDlRVHTvAlvGhXW r+XV1NxJciB0EduHdixPlj73LH7xPWuqVVRQqqFVRgADAApaKKKK86vNEl0iy07RbrxchitJ45La 1t9PDXLlW3KB8x79yuPWtPTdB1C7Y3EcT6KsjMJJ5yLjUJV6f6wkrGDjoM47Y7bVppGjeHkkvnZV lI/fX15Lukb6u3QewwPaq0uvahqZaLw/Y74irf8AExu8pAjD0X70nPpge9crpcGpeMNKhv5rM39z MJVFzfsVsohllDRwfx5XB5H/AAKuh0/RPFOiadbWdnren3kVrEkMcVzYtH8igAZZXJzgelVf+Et8 QXs4sNI0WxvbpeJ7mG+321ucngttUsenyitTwlqGq38GojVpbaaS2vngSW2jKIwULnAJJ4Ysv4V0 FFFFFFFFFFFFFcz4q8V3ei3UWnaZo91qV9PEZV8pNyxICFLMAcnBI4GM+orAsbDX/FkD3EOt6nZD zHiluZW8llZWwUjt0OBgggs7E9eO43fhvf3mpeBbC6v7mS5uC0qtLIcs22VlGfwArqKKxL/xVZW0 5tLGKbVb0OEa2sVDlD/tsSFQf7xFU5bDWNSje58Qamml2CqWazspNvy8f62Y4Pb+HaOeprMm8U6b oHh+eXwror3NlbRhzchTHbtyB98/NI3PYHPrXHW82teOrtYNem1b7RIzSx6LBbm1gRVIG55W6rkj OAx546ithjqnh6+1DR9Q1yfUJZo7GeOOVmdYle78t1UnrgFRk4PtXqdFVNR1Sw0m38/ULyG1jJwD K4G4+g9T7CsRdc1vXGZND0w2dsDj7fqaFAw77IeGPsW2j61WvbTQNKuIp9eupdb1VMyQxSr5smTj /VQLwvQYOPx6msnxVr3jaYW1no+mixlv1ZreIOjXO1ApcuWOxMbgMDcT6isvwt4UvLufUJbebUrf UvMa2vNWvrnM0bABisccbEH7y8s2PQcYrQ8AyXA8ea7Y3OoXV+9hF9nE10wZ9okYgZ79a9JorK1P xJpumSNbtI1zeBdy2dspkmb0+UdMkjk4HvVFrfXdcAe9mfQrEcmCCQNcSL/tyDiPtwuT15qnY6hp Gn+da+D9J/tK5LETSxNiPcOP3lw2dx9gWPtV0aDqOroreItQ3RkfNYWJMcOc9Gb77jGO4HtU+v2l tY+CtWt7SCOCFNPnCxxqFUfu27CjwV/yI+hf9g6D/wBFrWy2dpx1xxXNfDkTDwJpq3AYTr5qy7sZ 3iVw2ce+ee9UrbWUsvGWtxWNtNqr3jQsDZgMkLqmxklfohG0H6N04rSj0vXNYdZtavvsNvz/AMS6 wcjPpvm4ZuM5ChR9auPLoXhSwAJt7CAkBVUfNK3TgD5nY/iTVHTZdR1XxJHrEVrcWemNZtEyXRCt MdwZGEfVcZf72DyOK6Sio55ktreSeTISJC7Y9AMmvPZfGer65c20UOmappdhelVtXSBRNdkqWwJG OyMbQTnk4HGKabLxF4d13Rb6bUNSu1vbpoDpK3ZmABicgtI5AJBGTwAAOPfqTpms6uVbVb82FuH3 C009yGZeyyS9T7hNv1Namm6VYaRbfZ9PtY7eMnLBByx9WPVj7nmrdFFc94m8YW3huSG2+xXd9eXC l0htoi+1QQNzEDhckdifaudhvPE3igPNpOs3EfzeWZILZYbW3YEhgfOUySsOM4CjPcdB0vgu6vbv w3G+oXbXdzHcXELzsgUvsmdAcDgcKK3qKKKK5PxJ4u1DT9RbTNI0S7vJUVWnulgMkUAbOPlUgucD pkdua5vUbDxNqWgXOtxaxq2nJDavc+bNcBHnCoWAWCP5Y1PHJJavRtMkeXSrSV2LO8CMxPUkqKtU UUVl6l4i07THaGSVp7pQD9ktlMsxyQB8g5HUcnAqmyeI9ZOHZdCtCOQjLLdP7Z5RPw3H6VPb2ehe E7eSYyR2xuHBluLiUtLO+O7MSWPHA/IVCuq6xq5X+yLEWlqW5vNQRlLD1SHhjnsWK/Q1jeJ/DtvF Z2F7qE8upXv9pWa+bcH5VzOgISMfKoPI6Zx3NdZq8K3OjXtu0yQLLbuhlc4VMqRk+wzXOaF4iubj QbC00fSLi6nit1ieWceTboyBVzvIO4HqNgbI9KvDw1PqTGTxHqDXysuDYxDy7Ucg8r95yMdWJHsK s32s6X4fSKxiiLzkAQ2FlFucjOB8o4Vf9o4HvTfC+n3VhY3RvIxFJd3s90ItwYoruWAJHGcdcZFb VFFFFFFFFFFFFc7J/wAlJt/+wPL/AOjo6XwX/wAgq9/7Ct7/AOj3rP8AhWQvw7sWYgASXBJPb989 aM3i2C4ke20C1k1m5RthMJ226HvumI2jHoMn2qG70+5ltmvPFWtrb2sZ3ta2khggAAOQ7n5nGOoy Bx0pllqk91bpbeEdFjhsSuUvbiPyIByRlYwAz9PQA561Yi8IW890l7rl3PrFwvKrcYEEZ/2Yh8vp ycnjrTfHwC+Cb8AYA8rAHb94tOuf+Siad/2Crn/0bDWJr2lajrXjm7srGW1t0On2cstxMhdkMdxI 6BVBGQSvOSOKuane69o6qb7xTpEbucJEulyPJIfRUEpZj9BUOmN8QtUkZp7nT9Osi21HksytyV/v eXvZVOemSfUjtUynw9oWoeWq3Ova4uWPS5uUyepPCxDt/COB1q6LPxJra51C5XRbV1Ia2sn3znPr MRhf+Aj/AIFWppei6do8bLY2yxtIcySklpJT6s55Y/U1ians/wCFm6Fgtv8AsF1kbuMZTHHr71Y8 J/8AHz4i/wCwxJ/6LirndA0LWJPEfiDWNL1S0tTJfy27Rz2ZlyFbdnIdf71WL3XPEcUz2unazY6v erjNvZaWzBM9N7mban4nPtWjZ6d4nvbDf4o1qCxUj54dLXysDj70rEkeny469aSz1W0iD2Xg3R0u zvxLdf6q2Bx95pcEyn/d3Hrkiri+GpdSAfxLeDUiGLLaxoY7ZOnBTJ3/AFcn6Ct2GGK3hWGCJIo0 GFRFCqo9ABTZ7iC1haa4mjhiQZZ5GCqPqTXM32tS+KNMn0/QbCW4t763kiOoTgwwKCCuVyNznnsM H1pmlWHjTR9Hs9OiOgvFZwJCru0wLBVAyePaqD+KvFkt49npdto2rXETqky2rTeXFkE5aQjb26Ak +1aOl+FNUlt5k8Qau0sM87ztY2eUjUsxYoXPzsuT0G0cd61Z7/Q/DMUVkohtjIf3VpbRZdz3KxoM n3OKqxz+JdZYNHDHodpnO6XE1y4z/c+4mfctwegPS5pnhvTdLmNzHE092xJa7uXMsxz1+Y8gcdBg e1atFJXM6z4mhudOv7bR7SfU5FieN5IhtgjO053SHjjuFyfaqERA0PwEMA5kgwT2/wBEkrV8Q/8A IxeGP+v6X/0nlroaKKKK52T/AJKTb/8AYHl/9HR0vgs50q9z/wBBW9/9KHo8Ef8AIut/1/Xn/pRJ XQ0UUUVkWfmf21rIOzy/3W3Gd2dnOe2On61hWLFvgqGZixOhPyTnP7k11Gkf8gax/wCveP8A9BFX KKyL3xLYWty1nb+ZqF8uc2tmvmOv+92T/gRFV5LDW9aXF9eNpNq6YNtZMDMf96XHy+nyD1+ap1Tw /wCE7b5Ut7ESsq/KMyTN0Hqzn8zWVqnia9azMqGPQLWQ7YrzUV3TSH/pnbjknpjcc/7NZkeh6nqO rWuuaZbsZbV3Pn67vV7jcMDbGo/dqvbgH27nXu73xfYWzXN5N4bt4UGWkllmVR+JFY01z4z8WWps ra202GylCuNSxNHsZWDDYjgM3QYOMe9dInheO7kjn128l1aRORFIAlurZ6iIcH/gW4+9TXfiTTLK f7DbeZe3aL/x6WSeY6geuOE/4ERUH2LxBqzq1/eLpVtwTbWTb5W9mlI4/wCAj8a0NL0XTtGh8uwt UiJADydXkwMZZjyx9yav0UUUUUUUUUUUUVzsn/JSbf8A7A8v/o6OoPh1Ks/hh5kztkv7thuPODM/ WuU8G2WlD4f2d/4m1bZpiTTeVavJ5UORM5+fBzKSQeDxjjHeuutdQ1C+ijt/D2mR6Xp6gqLm8h8s Y4x5cIIJHPVto471ZsvDFjDOt5qM8mrXoJInvGDCPPJCJ91B9Bn3rb3r/eH51T1LWdO0iATX93HC rHCAnLOfRVHLH2ArjvGWqa3qXhu7ZNKSx0weWXkvXxPKPMX7sa/c/wCBHPt6dFPCz+PLKcA7Y9Nn UnHGWkix/wCgmsy9s9QvfHuoQWWofYFfSrcSzLFulx5s33CThT15IPbii0uvD+kXksWiW0mt6w3E 0sbiWUn/AKazMcIPbIx2HaraaXrWsskut6kLK32nNhp0hXOR0ebhjjP8O0cd62tP07T9Ltxb6faw 20Q/hiUDPufU+5q1ketYVz4stDMbXR4JdZu1O1ksyCkR/wCmkhO1fpkn2rCjj1n/AIWTo1xq81tm axudltAOLc/JlSxOX7fNgVs+E/8Aj58Rf9hiT/0XFWBp+m2ty+vXes61LbaXFq0+bZZvIjJ4yZHB BYHj5cgcd81r2eqyPAlj4O0FBZpwLqdTb2yg55QY3SdOwA96tQ+FUuZ/tWv3cmrT7tyxSDbbRH/Z i6fi2TW8qqihUUKoGAAMAVDe39npts1zfXMVtCvV5WCj9axE8QanrWV0DTHjhyR9v1FDFGR6pH99 /wAQo96ki8L2gmW/1u7l1S5hPmB7psQxEd1iHyLjnBIJ96G8TpeGSDw7aNqssfBkQ7LdD05kPB7/ AHA3Q0weGrrVl3eJr/7WpHNja5ith9Rnc/8AwI49qt3msaN4dSGyZkikZf3FlbR7pHA4+WNRn26Y qsP+Ei1oEMq6HZv9JLph+B2RnH+8RV/SdB07RRIbOA+bKcyzyuZJZD/tO2SfpnArRopkkkcMbSyu saIMszHAA9SawZfFP2zMXhyxfV5Mf65W8u2XPrKeD9FDUv8AwjlzqbmTxDqDXaMoH2K23Q249cjO 5+f7xxjtWjqMEVt4fu4IIkiijtXVERQqqApwAB0FcvF/yBPAH/XWD/0kkrW8Q/8AIxeGP+v+X/0m lroaKKKK52T/AJKTb/8AYHl/9HR0vgv/AJBV7/2Fb3/0e9Hgj/kXW/6/rz/0okroaKKKKyrT/kK6 x9Y//RYrDt3aT4Nl2KMx0N8mMAL/AKk9MV0ukf8AIFsf+veP/wBBFULzxTZxXRstPil1W9BIaCzw wjIxne5IVOo6nPsarjSNc1hT/buoLaQEn/Q9Mdl3D/bmOGPHZQtWJrzw94Pso7ZVhtFxiK2gjLSy /RFyzH3/ADNZeqeIr87Y5Jk0FJACiSKLi9mH+xEuQOeMnd9Kj0/R9SuJnnsbZtKMkaq2p6gBcX0v 0UnagwO/r90YrXi0zRfDiPqN9chpnIV76/lDOx7AE8D/AHVwPaoV1jVtcGNCtRaWpODf38TLn3ji 4LexJA+tWLPwxZxXaX+oSy6nfopVbm6IO0f7KABV69hmibxPbSTSW2kwyatdRnDpbEbIzg/ekOFH TpknnpUQ0jVdXw2uXoggwQbCwcqjA9nkOGbg4wNo+ta1hp1lpdolpYWsVtAgwqRqABVmiiiiiiii iiiiio57iG1haa4mjhiQZZ5GCqB7k1zzeKLvViIvDOmvdhs/6ddhobVcehI3P/wEY96x9Tg1nw/r cfiC61rTLmeS1Ns0N0XhRcuGAhRAzN0xzkn8KpeGdNuv7ES0v9QvhYNK8wg0yxmjWZXYvgyFd+35 sYG0/Wt3UofDf9l21nL4Uur22tmIht00xiI89SAwA/8A11lfZPCP/RO9Q/8ABV/9elSy8Is2D8Pb 9eDydK/+vQbLwjsDf8K9v+SRj+yuR+tNRPh9/aUOnS+FTDezDckD6YxcDj5iADgZ4z7GtLX/AAFo /wDYtw2iaLYQaim14JNgTaysD97HHANY03izU7/xWtvbQwWtylnKjtbSNfbfmUnCooUuMAYY4G78 Do6Rf2WkGeUaB4nu7q6AFxdXVq0kkoGcDrgAZPAAHNV2svCCYA+Ht8QQD8uk9P1pUsPCDo7H4f3q 7RwG0rlvpWjHofg+Jg8Xhdo29V02QH17L6im3Vp4MtIWe60KSKIxkMW06bbsGWIPy9OpwafoOm+C 9d05pdDsAloJAd0MUtsrt6j7u7pz1Has/wAQ6RaeGPENp4m06XR7ApC8MyXsrRmYsRggqCWIxjGK oaKbzUrS8vri+vTp2qXLXBt9IspgZMgKf3zKCF+XooB966FrDwxcWcWnzeGbiS2gZnjWXTpGAYnl skEknrk8nvVPGm3V5LYeHfDXnT2wCTTXG62htyeQpz8xOCDhVPBHIzVD7LaeGPGthcalrRika3mu LiMSskAGBGkccZPzcsxzyxK5710w1XXNY3LpOnfYLc423uoghmHOSkI+b0++V69DSxaDpmlynV9Y vWvLlB/x938i7Yv9xeFj/AfiaT/hIL/VlZfDun+bGVO2/vMxQZ7FRjdIPoAPekTwkt7Ot14hv5tV kHS3b93aoc9oh1/4GWq1e+IdN0yRbC3Vru8AwljZJvcD3A4Qe7ECqqWviPWhuv7gaLaOv/HvZuHu Dkj70hGF4yPk9fvVpaXoem6MhFlbKsjACSZjulkwMZZzy3Tua0KKjnuIbWB57iaOGJBl5JGCqo9S T0rDTxFd6sB/wj+mtcROuRe3ZMMHtt43Pz6DHvRD4W+1lJvEV6+rzKQREy7LZD7RDg/VtxreREij WONFREACqowAB0AFOqC+ga6sLi3UgNLEyAnoCQRXFnRvF76d4bs4bbS7d9JMbPPJO8oysbR/cCrn IbP3uororDw6kN5HqGpXs2p38WfLmmAVYcjB2IuAvU88nBxnFbNFFFFcvrqazY+KLfWdN0dtUjWx e2eJLhImVjIjZ+bqMKaq6BpPidrJ4riWPRYJrqe5ZIis1z+8lZwu4/IuARyN34V0+m6bbaTYpZ2i ssSlm+ZizMzMWZiT1JJJ/GrdFFFFc/c/21aavevZ6VBdW10qHzXvPKKkLtIxtP1zXNWtrdXNjFou o3ba15EYgew0qMw2gwCB5s30GSoI5/hORXSHQdS1EldU1NrezHypYacTGmzsHk++eMfd2irMmo6P 4fhTTraMeYiFo7Gzj3yEeoRf5nAz3rmrjxZqF/qtxp8sp0dbcbTa2oW6vp2K7sADKx4DLkkEZPWr ek6BqUqebFCNBScZmlZ/tOoTc/xyNkJkYPG7HbGK1TF4f8IwC5mKxSynYJ5S0txOx52gnLuT1wPy pjXviDWGZNNtRpNt0+1XybpW/wByIHj6sR9Ks2fh6ztJVvLuSS/vUHN1dtuK9TlV+6nX+EDiom8R m+laDQLX+02Vtr3HmbLaM98yYO4jjhQetMXw/eakA3iDUjcoSSbK2HlW/wBG/icD3OD6VtW9tBaQ JBbQxwxIMLHGoVVHsBUtFFFFFFFFFFFFFVdQ1Ow0q3+0aheQ2sWcBpXCgn0Gep9qx/7c1bV8LoOm GOBiQb7UVaJB05SL77g5PXaOOtUbu00XRpY73xNqD6vqYX93DIu/JJA/c265A5wM4J55NXi/iTWX 2wouh2JUYeQLJdN9FyUTjHXcevFXdN8O6bpUr3SI8924+e7upDLKQM/xN0HJ4GBz0p/h1g3h3T2B yDboQfXitKisi+8S6dZXf2FHe9vu9paL5kq+7AcKOerECqMlr4g1eMTajfDQbNSzPb2jhpmXtvmP C9CTtHf73FQWeqafZxNZ+EdKbVJM/PPG+IcnnLzt988543GrDeF7rVzu8S6k15E2CdPtx5VsD7/x P/wI4Pp6MeCOy8faRbWlvHFAul3KhIwFWNfMh6Ae+Pzrp6Khuru2sbd7m7njt4UGWklcKqj3JrAX xNe6ydnhvTHniyQb69DQwD3UY3Sc+gA96o3+n6Zp2LzxlrbapKzborRlKw5HTy7dc7yPU7jVxLvx JrSBdMtI9CsSgCT3se+4P+7CDhf+BH8Kt2PhjTdJEt75RvNRZMyXty26ZyB/e/hHsuAKqfDhi3gD SWPVomJ5z/G3fv8AWunrnPBigQaw4HzPrN2WPc4fAz+AA/Cqmp3Gn6Z8Q4b7VJ4beF9KYQyXDALv WQFgue+GHT1q0PEGqa0F/wCEc07/AEcsQ1/qCtFHgY5RPvvnPX5Rx1qzbeGYWnjvNYuH1a8jJKPO oEcRIwdkY4Xjucn3pbnxRZLcNZ6dHLqt4p2tDZgMIzgn53JCp07nPI4qs2ka1ref7av/ALDaMP8A jx05yrH/AH5uGP0UL9TWxp2l2GkWq2un2kVtCoxtjXGfqepPuat0UUVx9xo1p4i8bahHqE1zImmx Wz28QlKxxs3mZbaDhj8o5I7Vpt4ZlZyw8Ra0oLEhROmAPT7mcfrUX/CJ3H/Q169/3+i/+N05vCs7 NkeKddUegmix+sdN/wCETuP+hr17/v8ARf8AxurkWgCKJUOq6pIQOXe6JLH1PFMk8PM6Mq63q0ZP RluBlec8ZUj2qufCs5CgeKddGOpE0XP/AJDpP+ETuP8Aoa9e/wC/0X/xuj/hE7j/AKGvXv8Av9F/ 8bo/4RO4/wChr17/AL/Rf/G6mi8NSRxFG8QazKSch3nTI9uEA/Soj4UuCSf+Eq14ewmi/wDjdJ/w idx/0Nevf9/ov/jdH/CJ3H/Q169/3+i/+N0f8Incf9DXr3/f6L/43R/widx/0Nevf9/ov/jdH/CJ 3H/Q169/3+i/+N0f8Incf9DXr3/f6L/43R/widx/0Nevf9/ov/jdH/CJ3H/Q169/3+i/+N1k22hv feLrzSr7VtT1LTLO0ikkguplCvK7NjOwLuXavQ8Z61vXmu6RoRj06FDJcKB5dhYw75AO3yrwo9zg Vla9deJH8NalqMjJoy2kEsyRQuss0gVSV3PjaueMgAn3rb8P6PZaPpVvFawoHMS+bNtAeVscsx6k k81iaNq+jaNb6i1y0a6kb+cXCRREz3D7yVKoMsw2smPbHarnm+JNcLeQg0GzO0rLKqy3Ugxk/Jys fpzuPsKu2Wh6VoqveP8APMoLy3t5Jvk6cku33RjsMD2qq/iWXUHMHh2xbUGzg3chMdqnvvxl/ogP 1FH/AAjMmosZPEN++og7T9kQGK2XH+wDl/8AgRPToK3Yoo4IliijWONBhUQYAHsKfRRRRRRRRRRR RRRWfr99Ppnh7Ub+1jEk9taySxoQSGZVJAwPcVyGi+DLrUobLxJc+I7uTUrq3SbzWt4HEW5QdsYZ DsH0/rVzWNK1y3ewtx4xvtt5drDIGjgjJTDM21ljBDYXiui0zQdM0cl7O0RZnULJcP8APLJ0+85+ Y9O5rRrF1DxRp1tctp9v5moX+3/j1s18xx2+Y/dTn+8RWZpd94o07SrWybwlvMESxlhqMeDgYzzV r+2/E/8A0KB/8GMVZupP4g8RX1vot2Ljw3BPFLI0ltcpJLPtKfKrAfIBuyfWtaw8NTaVai20/Uvs yZBYx2se5z6scck9yazdH05fEs+qNr11JqK2d9JapbMdkAVdpBaNeGJzn5s+2K6+ONIo1jiRURAF VVGAoHQAVBf6hZ6XZyXl/cxW1vGMvJKwVRXLXV/qd54ptdX0bQrm+tYbGSHzJXW2DmRo2BXfyQAh zwOtX/7b8T/9Cgf/AAYxVHca94oit5ZB4POUQsP+JhGeg9ByayNH8L6nrNrY+ILvxCt3cXKJcBLm zWWK3DDdtiXdhSM43HJ4FW9dXxRp7WKnxJGYr2+jtj5VgqSIrE8hizDPH92t7SvDel6O/nW8Blui MPd3DGWd/q7ZP4Dj2rVrD1fxNp1o82nRCbUL/btNnZJ5kq5HG7sg56sRWF4WbxT4e8NWOkv4V85r WPbvGoRDPJP9as6n401bRokkv/DQh8xtkSf2jEXlbsqKBlj7CqmgReMp59Rli0+10S0v7r7Qpu2M s0WUUMBGuFySu7kjknINb9h4UsLWcXt9JLqt8rFlur4h2jzjIQYCoOB90Cmv4qt7i5e00S2l1a4j bbIYPlhi/wB6U/L+AyfakOhXurSCTX73dENwFjZs0cJBx99uGc9euBz0rZtLO2sLZLa0t47eFOFj iUKo/AVNRRRRRXP3WgaqusXWoaVriWn2wJ5sc1mJsFRgbTuUgY7HPJJ70unnW7LXYrPVNWtr2G4t 5HTZaiFgysg/vHPDGt+uTtJvEmt32ptbaza2EVpevbJA1h5rbVAwxJcdc56Va/srxZ/0NNp/4Kh/ 8cpG03xUiF38V2aqoySdLAA/8iVzz6t4yvZo/wDhHNUt9atxuE1wlgsMakcAK7SYc5znHAx1p/nf E/8A594P++Yf/i6WS5+I0VuZGiLuq52RW0DZOcYB80duc10PgnWbvX/ClrqN+gS5kaRHATbysjLy OcH5efepvFmo3mleH5bqwaJLgyxRK8ylkj3yKhYgEcAMT+FVv7K8Wf8AQ02n/gqH/wAco/srxZ/0 NNp/4Kh/8cqhqk+s6LGr6h40sYS5ARP7K3O5Jx8qiQk/gKxl1f4iMJmFndOvmfuGGnQp5kfHzMGm BU9flx6dO1n+0vHH/PLUf/BTb/8AyTUNx4h8aadLaTzwXDWzXcMU5udPhiUI7hM7knY5ywxxXo9c vq+oa3ceMoNB0y7hsIv7Pa7eeW384u3mBdoG5eg5J56ipv7K8Wf9DTaf+Cof/HKP7K8Wf9DTaf8A gqH/AMcrkNZs9VF5qR0/xJdarqk4hiuLPTLMQqVUk4eXJ8s7S38SnkV0mm6kNItzBYeB9Xt0Y7m2 iDLn1ZjLlj7nmoNY8YwSxPot94Y1lpL+F4/syLBJIyEYJ2rISBz1PFWtJ03xNNpFpY3Nwmj29vbp BiEia5k2qBuLkbVzjsGPPUdtKKw0Hwtaz35SCzXAM93O+XfHA3SMcn8TVZtd1PVVI8P6YTGygre6 gGihIODlU++/GewHTmpY/DEVxMLnWbubVJgQVSU7YIyMH5Yhx1HVsn3rbAAAAGAOgpaKKKKKKKKK KKKKKKyNT8UaVpdwlpJM1xeyHCWdqhlmY4z90dOO5wPesPXpfEepeHtQnuxDoGnpbSmZMie5dAjZ 5X5U49Nxrd8K/wDIo6Nxj/QIP/Ra1S8Y4A0MnoNYt/8A2apJ/FttLcNaaLbS6xdLkMLbHkxn0eU/ Kv4ZPHSmNour61GP7c1E20DKN1jpzlB7hpfvN3HG0fWtfTtLsNJtvs2nWcNpDnOyFAoJ9eO9W6K5 3Vv+R78O/wDXC8/lFXRVw/hnUrDRrnxTd6jfQW0T61IAZHwc7E4x69+K1o9W1vWyP7J082FoynN5 qCFX9ikPU+vzbfxqe38LWIuEu9ReXVbtR8st4Q4Q/wCygAVfwGfetuiqupsy6VdspIYQOQQcEHaa xfh3/wAk/wBE/wCvRaXxh/zAv+wzb/8As1WbvxTYxztaaekuq3qg5gswH2kZ++/3U5GOTVQab4j1 oBtW1AaTbnn7Lpjkynno0xHp2UD6099S8N+EgunWyqLpyALS1UzXEp6gsBliec7mP402RfFOtSbV ZPD9mGHzDbPdSD9Uj7f3j9Kt2eiaPoAl1CRt02MzX99NvkwBjl26ADjAwKqyeKLjUCYvDWmSaiQ5 RrqYmG2QgkH5iMv0/gB+tKfC8mqssviS+a/AORZxAx2q+xTq/wBWJ+gregghtoVht4kiiQYVI1Cq o9gOlSUUUUUUUhIUEkgAckntWE/imK5keHQ7OXV5U4LwkLApz0Mp+X/vncfasr7PrK+PdDuNWu4J TJbXey3toiI4OI84Y8sTxycdOgrs65rRbiG11vxVcXM0cMSX0ReSRgqqPs0XUnpTk8UzauWj8N6f JeqDt+23AMNsPcMRuf8A4CPxqSLwul3Ktzr15JqswO4QuNttG3+zEODjsWLH3reVVVQqgADoAOlL RXPeCP8AkXW/6/rz/wBKZKTx/wD8iJq//Xuf5itHUtd0/S3SGeUvcycR20KmSVz7KOfxOB71QYeJ NXeRMx6JabsKw2zXLr6/3Iz/AN9Va0rw1pekStcQQvNdvnfd3Mhlmb23tkgc9BgVrUVz3jj/AJF1 f+v+z/8ASiOuhrnrtgvxC09mOFXSroknoB5sNOm8WQXDy2+g2sus3MeAfI+WBScY3TH5ehzxk8dK b/YWpavhvEGoYhIGbCxLRxZxyHf7z/8Ajo9qlbVtE0MrpWnQpJcg4WwsIwXBwPvAcJxjliB05pn2 XxBrEX+mXC6LAzcw2jCScr6GQjCn/dB+tTR2vh/wlaPct9msUbiS4nf55T15dvmY8dMmq/8Aa2s6 z8ujaebKA9b7UEIyPVIh8zeuWKj69KntPDFpHdC91CabVL0KAJbsgquDn5IxhV57gZ962qKKKKKK KKKKKKKKKKKxPGlxNa+C9YuLaV4Zo7ORkkRirKdpwQR0NYemfDSwttOiMeo6zY3c0Ye7kttQdTLK QNzMeQTnP51NN8N7O4haC48ReI5onQpJHJqTFZAc5yMc9fpXVWdpFYWMFnACIbeNYowTkhVGBz9B VTXtA07xJp32DU4mlg3h9qyFDkdOQc96zYPAmlWtvHb215q8MMY2pHHqk6qo9AA3FNuPA1pMgWPW /EFuQc7otVlJPt8xIqB/h9A5bb4m8TJkgjbqj8fTNIvw8hVgT4p8TsAfunVGwfyFSW3gG2gkLSeI fEdwCMbZdVkAHv8ALg1fsPCmnafqMeoLNfz3ESMkbXV7LMEDY3YDMQM4H5Vt1zNx8P8Aw/PrM2sL FdW97OxZ5be7kiOTjJG08ZwOlNn8CWs0ismveIYQAcrHqspDfXcSfyqv/wAK7i/6GvxR/wCDQ/4U 8fD6PchbxT4nYJ/CdTIBGehwKuf8IXYf9BLW/wDwbXH/AMXSP4J06RGR9Q1plYYIOq3BBH/fdbOn afa6Vp0Gn2UXlW9ugSNMk4A9zVTxD4fsvE2lNp18ZVjLq6vC+10YHgg9u4/Gsix8BRaZZQ2Vj4i1 y2toM+XFHPGFXr/0z56nrVLxLol9p2lA2vizWlurmeK2gMs0ZXfI4XnEeehJ6jpXQhNC8J2TzyPb 2SSNmSaV/nmf3Y/M7fmaqJrer6yHXRNMa2hyAL3UkZFI5yUi4Zvx2jmn2vhK388XWsXdxrN0G3K1 2R5UZ7bIh8q/XBPvW9S0UUUUUUUVx3i/SI/EXiTSdFu7u7isprW6lljt5igkZTEF3DoQNx4NXU8I SxIscfijXERRhVWWIAD0A8urumeHzp16buTV9Sv38sxqLuRGVASCcbVHPyiteuU1X4eaZq2tS6rJ qGpwzSSLKY4pl8oOqhQwRlIzhRyas/8ACJ3H/Q169/3/AIv/AI3R/wAIncf9DXr3/f8Ai/8AjdH/ AAidx/0Nevf9/wCL/wCN0f8ACJ3H/Q169/3/AIv/AI3R/wAIncf9DXr3/f8Ai/8Ajdamj6VBoump Y27yyIrO5eZtzuzMWYk+pLE0ur6XBrWk3OmXTSLDcoUcxnDAex9awLLwBDpvm/Y/EOuRNM2+V/Pj ZpD6sxjJP4mrX/CJ3H/Q169/3/i/+N0f8Incf9DXr3/f+L/43R/widx/0Nevf9/4v/jdH/CJ3H/Q 169/3/i/+N0yTwYLgxrd+IdauoklSXyZZo9jFGDLnCA4yo710tc74m8Fab4quLWe+uLuF7VWVPs8 gUMGIJDAggj5Rx0pF8IyogRPFGuoqjAVZogAPYeXWZf6LKniDS9IfXdduorwSyzh7tUURxqOMoqt yzoOD0zW+8+g+ErBIv8AR7CEnEcUa/NK3so+Z2/M1Vj1HXNcA/s+xfSbRut1fJ++I/2Ie31cj6Gr Fh4YsbWaK7u2l1K/j5F3eNvYHuVH3U/4CBWzRRRRRRRRRRRRRRRRRRRVLWdMj1nRrvTJpHjju4Wi Z0xlQRjIzWE/hrxR8wj8dXSjYAu7T7c4buT8oyOvH6mol8M+MgwP/CfyHB6HSocGr39heIJfmn8X 3KP6W1lCifkysc/jR/wj2tf9DjqX/gNbf/G6bJ4d14xkReNNQV+xa0tmH5eWP51Vbwz4tJfZ49uA C3yZ0yA4HoeOT054pn/CMeMv+igS/wDgqgo/4Rjxl/0UCX/wVQVZg8P+KAoS68azSKMndFp8KOT7 khhj8B9ac3h3xBuO3xrfhewNpbkjp/sfX8x6cwjw34rEzn/hO5zEScKdNg3KM8fNjGfw/ChvDfi0 khfHcyqM7P8AiWQZ68ZPf8AKi/4Rjxl/0UCX/wAFUFH/AAjHjL/ooEv/AIKoKd/wjXjHaF/4T6Tg 5z/ZUOTU1z4b8SuF+y+OLyIj73m2NvJn6YVcVX/4Rjxl/wBFAl/8FUFPTw34xUOD49dtwwC2lQ/L z1GD1+uetW/7K8Wf9DTa/wDgqH/xyj+yvFn/AENNr/4Kh/8AHKqan4X8R6vZ/ZbnxVCq70kV4tMC ujKwZSp8w4ORWppvhixsbk307SahqDEFry7IdwRn7oxhByeFA61s0UUUUUUUUUUVjaxo+oXuoWt9 puqR2E1vHJEfMtRMGVyp7kY+7261W/srxZ/0NNr/AOCof/HKP7K8Wf8AQ02v/gqH/wAco/srxZ/0 NNr/AOCof/HKP7K8Wf8AQ02v/gqH/wAco/srxZ/0NNr/AOCof/HKRtI8WHGPFdsuDnjSl59v9ZS/ 2V4s/wChptf/AAVD/wCOUf2V4s/6Gm1/8FQ/+OUf2V4s/wChptf/AAVD/wCOUf2V4s/6Gm1/8FQ/ +OUf2V4s/wChptf/AAVD/wCOUf2V4s/6Gm1/8FQ/+OUf2V4s/wChptf/AAVD/wCOUf2V4s/6Gm1/ 8FQ/+OUf2V4s/wChptf/AAVD/wCOVHLpfjMKxh8T2LNgbQ+mYBPfOJKik0zx2FUx+I9LZsDcG04g A98fP06UQ6b48MoE/iPS0j7mPTyW/IuKs/2V4s/6Gm1/8FQ/+OUjaV4u2nZ4ptN2OM6UMZ/7+VVn 8J69e6nZX914pCyWZcI1tp6xuVYAMuWZhg4HUHkA1s6X4e0/SmM0Ubz3TZ3Xdy5lmbPX5zyB7DA9 q1KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKK//2a== ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image005.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAA08AAAG2AQAAAACPR4BPAAAACXBIWXMAABcSAAAXEgFnn9JSAAAJ 0ElEQVR4nO3dvZPbRBQAcN0kTOiOkoJBVKSjIDSZyUQFfwoFZZhJSQaZoUjHQckERn9HKh+kuApM T+EDz8RpMvHh4uQ5nYVXsk7vvf3yale6M3k7k4vttfSzVrur1X7YUTlYiJhiiimmmGKKKaaYYoop ptTUhfnt6w8NkaugVPHQEHnpRlnefrZODZ/DjbK8vRyOujRQi7UTdWyh/vlGT7184kT9ZKEmD/XU H4U+TkHd96B+djpX6/t5d+pbN+prSzE8MlDPLR+TUI8t1PeGU//AqbYoHi8tlCGRnjtR688t1O+G 3T2zbEuoe3Pz22eGOvLk3IXaZDHz20vT7izbUmpqod4Y4izbul4aLbsLSXkEpphiiqlrpBajWwNR r6IoUlh9UMdpWY7SIajiUPy5MwR1moq/8mH1QB1Vf4t4ACqp//uuf+rF9v9F/9Th9v8i6Ztax9Ts jWqbv3/3Tc2uHtEbk+DU06tH9CYyOBUrH/ZBwUM56ZeCJ2iGo0JTcPckX4SmqhufdVTV6yRfhKaq unZzaUyEmPRKib0vDsrT6Mrti6o63l4LTpg4CwamRE6o0m0takCcBQNTZ5t/i1Q8Ot4+640SHQT1 BStPaI9fYErk9e3FI6b9lIGpbHMo4/qhuOAnVur8yNRnYApJe4IWtayl1hEKSekWRIo1OVzUFdPd qdiREvmgKbfiyo8KFqXw00yzx0gTsYK10cZEHVydqFGkyU0XMIPPA1DFQTmSm+QinMNie0aGLrpQ oil0rIyZw661nJThLpS4dxKVgRwmMCdssiAqwx2oPC631akUjuAmIoPAD9SBqhvjL1RRY7TzDO+g A/UCgCQkKMkm3lSddFLrv6wqC5gRZriP1Z1qymgsRxV4qG1ZX1S6U3la/38iRxW40K58qaaMzuQo sm8iu1PNzhSd+yt8cjanDl7y3amm5laMVi3xFpuzCj+POxW3O6LhnGSWGGVIZ6otOLEUt0nbFD7P /Kg23eRxiQlpuExQKjtT7e2FnNsnpDk2R7Qz1WZfObdnJFueoyrRmWqBMymOUks/qk02eWgxxld4 AYM9OFNtZpDHAhOSqLkf1b4kj7GnJR7UK/yoRPmwsXEBWKMS4UrBQxlbqRSWCB+Kxhb0pU3dBVLU lYJ5gVYXElV6UTCH0+oil05fBkdcXSlYRukY8kpBgYLmSsEqQqZo/j/yoeAQNB1Iv5CoCUyFkNSS bu5HwUSjrYulVFed+FAwg9P6Vqbm8BUfiu74XDrOmQ8FX5GPwZikPhTNbwNSJ+Y86Uol8M0JjptI FCrUPhSthvaWwqdHomitmAejSPT0OqkCZp2QVBaUwhXE9Bop2gQoYNYxU2MzRdoxmdSwWe9OZb5U OtxR7U5lbweF5zXvQsX7T+EBq5tDpS4UqRzi4ag+j+r6EtAxB1qoPa0t0reSQvESRS/4PtmCdi2i ILeYfI7q5lJFMGpqpUzNGBuVGKIn0mx3HwrfEVwnRW96CtPtgRM1tlHG+ysbhV5JcNyAlHyHH4yy dyZ4UfA6a6cuTP0WNooMhVkoYxeJjYLXeNrxI3dneVFkLNFCzWDvmisF6wM5uWjXI0pSVwqWHDrU I3eoelFw98YCW4UJfL8rBRNNQSWUMvRI2yjYiWrvZ5/6UDCPKS6EMX7F2KVvo8gkB0qRDWLTmIiV SvSx0qCSefjFRsGzMbZRm89lGL+yUuClhMal5N4E285Uu6081pjIY43gSuBB0QpPULio4XziTLXD sfKEi8xpXNhKLRWP2re7jHZbqba6kMfw6XQBT6q97fGdmWCl2nfQ23m662pMyYdqq7lYipqTsoaP 0p26mkCZSFFL4meo88Gdak6RYnn1BUlV84wfO9WsyZBndijmMflRzdEoZu0VpEWVogLhTjVT6OQM KCiHOWd2aruSpl1Qg7aGKUbS053aLjrJU0VUgnL3DB+6mVIkUpMv6IqdLQV3cII/aweqPp6nqqgx KsNHuJh1oOpld/YZqhsHFfMO56oclfWCQjmckKu0cd7tLtTisCxUyzGrvN1m7xxPIu1EXWqnny9d 5kjvQpV5pDxT1a7bA5mRyqsTpQ05rPAnlknmeJa+5sNrg7gSxs2TmLTq6Rx4vwUB4pDg2gPU2A28 eCNpWze2FRW+IWsrx19Lck0Ov/qlqfIPaSbrYU1Pvc5VXNZwUy0wJQrSafVI/MVz3gNTojVQ18Ri yQVuagemqiam2OciLunNcmCqqiv+jMZ5td9e18rVJWm0XXgU90rV9UNdo/W82BCt1kx7peAVirR/ Q1PwLof01oSm4PkhjaDQFNg/bf8Gp8DM8LRnqq33TklMcKrNF/SuKDjVLu6ISUR4qvlaBmndWXiq XlhbX/B7ppqjkdYIhqfKg+rvaTwAtbjbgj1Thdjnqdww7oESV8YoSgehymOV1A+l6hTqi1IGpphi iimmmGKKKaaYYooppphiiimmmGKqKxUHpeQpoCDMp7oY7Vaqn7JojspEnWupsS5C9Rs8O1HaH5/Q UvLs1ZZKDNRSS2Xql+cmKjFRtxTfnlaFQw314pcneiozUMUXGmr9pYa6ePagIzXXJGAx11Crex2P aqWlJrFmi7uqjvaaWqddqDzTUBd39eUqNxXhMy2l+4ArA7U0UatJponQFZFPv1T9uI0XpdvqYwO1 UOWYJuRxoon4QEN98pXqN3hq6tL4w0G6D7/Wf0DVl9huM7vx19C0v9al32qqp4w/HKT9qTTLLxup qSECU0wxFSDkURSBqRD9UgflQJSow/WryphiiimmmGLKEESrWP91rUHD6n9JcQJeJ3Xs9HMm+0KJ vpKBqClTfkXYjfp/JiCfK6ZuIrV+8lm90vWdcvqmXlMXhlrMr/onG2q3Za6Uat5fLQGACxuK5oVF u0A3uoraRCxu1Vu+60rVAUTkDfWvRJGe4OmuVLNuYvnoFRqJEwMV7189m6CjwpRuwIpeGuFjtOAA j4l0oaYBKJKAA1LTHimSgH1SOx7VnmWLPaNoEd6NmnahBsyB3Y6qzwQMUYQHPFc3LwH37KhufGbv RMHdq74uef+PiqmbTV1TbYEnVUjU6PbBj9m4epqFo/66oFS3OxFEoXPV3B4cy7cHHakFWO8Mj6rQ UzgkqhdVVPW5ErDnq7D67YfqBf03WFoCpYpH9TdaiPSaSu9ehaREENRKeidTTPVBZQNQoBYZgLqz 2et0ACpRPmSKKaaYejuo8XBUonzI1FtOZe3DWPExVItd6rFG/XfpB6VWfVDK71/qhxrwqJhiisbF usyev3yvw8zv0Ufbe5GD2xJFBk8Bhb9IeVfK3H2iWlcjhd2pw8vXowOneUzdqBCBKaaYYooppphi ak+p/wC4MShTmn7sMwAAAABJRU5ErkJggk== ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image006.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIf IiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/wAALCAEYAh4BAREA/8QAHwAAAQUBAQEB AQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1Fh ByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZ WmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXG x8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/9oACAEBAAA/APZqKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKQnAyelZ1jr+marcSW1hdrPLHH 5hwjbdpJAYHGCCQcEHnBpdB1Ua1o8V8E2MzPG69tyOUbHtlTj2rRooooooooooooooooorP1jVF0 u0VlCPczN5dvCzEea+CcDAJ6Anp2rLg8RXEdjos08lpeHUr02zSWisiL8sh4DEnIKYOfeukooooo oooooooooorO1bXbDRlX7XI+5lZxHGhdtijLNgdFA6n6DqRUT6yU8R2em/uzDeWjzxk5DhkK5GD2 If04wa1qKKKKKKKKKKKKKKKKKKKKKKKKKKoa5pzavoV9pqXBt2u7d4RKBnZuBGcfjWRaeH9U0q2v 3tLu2lu7iGG3tsw+WlqiLtwBzkDLMB3PHetjRdKt9D0e10y1/wBVbRhAT1Y92PuTkn61eooooooo oooooooooorG1rQpNT1LStRgvDBNpskjorLuR96FDkZHIByD9fWq9t4aijudPiUPHYaS7SwxswYz zsDmVj7b3+pY9ABnoaKKKKKKKKKKKKKKK53XfCUWuaktzNKgjaNI3BjzIgR94Mbfw5PB4ORj0q3a 6TI/iKbW7xgJRCbW2iViVji3bix/2mIUn0Cgc1r0UUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUU UUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUVHPPDbRNNcSpFGvV5GCgfiaxR4y0iacQ2JudRyQPMsr Z5oxkZHzqNv60x/FVyv3fCuuv8xHEUXT15k70qeK2EUktz4d1u2RMfetRIWz6CNmP6VNZeL9Av5P JTUoobgdbe5zDKCOuUfB4rZ60tFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF FFFFFFFFFRXFxBaQPcXMyQxIMs8jBVX6k1hpqWq6/uXSYn0+xZTt1GdP3jn1jiYdPd8ewPWrtvoF osNsL0vqU1spCz3ZDtk4ycdAePTitJEWNAiKFUdABgChpEU4Z1B9zSqysMqwI9jVe70+y1CMx3tn BcowwVmiVwR6YIrJXwy+myrJoOozWKKMG0lzNbt/wEnKf8BI+lPsfELxzQ6fr1uunahLwhDFoJzn /lnJ6/7Jw3setblFFFFFFFFFFFFFFFFFZur+IdK0Hyf7TuvI8/Pljy2ctjGfug+o/Osz/hYXhb/o Jn/wGl/+Jo/4WF4W/wCgmf8AwGl/+Jo/4WF4W/6CZ/8AAaX/AOJqP/hZHhbei/bpiHJG77JNhcev y8Z7U8fETwsWYf2k4x3NrLg/T5aX/hYXhb/oJn/wGl/+Jo/4WF4W/wCgmf8AwGl/+Jo/4WF4W/6C Z/8AAaX/AOJqxY+NfDupXsVla6krTzHEaNE6bjjOAWAGcA8Vu0UUUUUUUUUUUUUyWWOGMySyLGi9 Wc4A/Goor+znbbDdwSNnGEkBNWKKKKKKKKKKKKKKq6jqNrpVk93dybI0wOBlmJ4CqBySTwAOtZdp pl3q8q3+vRoEWRZbTTyMi2Zc4ZyDh35B9FI49a2bi4gtIHuLmZIYYxl5JGCqo9yaxf7a1PVoo30C xQQO3/H5fhkQr6rGPmbPbO0VNL4dGoWqRaxf3V4wGH8mV7dH5yPlRh047npVdfAPhTH7zRLa4b+/ c5mf/vpyT+tJD4C8NW1z9os9OazkyG/0W4lhXI6HarAZ/CkTQ9d0oOdJ157pG6QasDMAeOkikMO/ Xd1qW08UKt1Bp+t2cmk30wGwSsGhlbjKxyDgnnocH2rVv9Ps9Us3tL62juIHxujkXIOOQfr71i2s 114Ynjs9TvHu9Mmcrb3s7fPA3JEcpPUY6P68HsT0dFFFFFFFFFFFFFFFFZ03/IyWn/XpP/6HFWjR RRRRRRXOeLf+P3w3/wBhlP8A0TLXR0UUUUUUUUUUVR1TV7PR7dZbpnJdtkUUSF5JW/uqo5J/l1PF ZCw+J9d/ezXI0CydRtgiVZbojvuc5VDg9ACQe9SnwP4fmeOW+sf7RnjABmvXaVnxzlgTg884xj2p 9x4I8K3MYjfw/p6qGDfurdYzke64PeopfB0ECodF1K/0iSMAIIZjJFgHODG+VP4YNA1zU9FITxHa xm26DUrMExD/AK6IctH9clR3IroFZXUMjBlYZBByCKdRRRRRRRRRSVz2kyP4j1Aa2ZD/AGZAXSxh IGJWBwZz+RC+xz3rY1HUbbSrJ7u7k2RpgYAyzE8BVA5JJ4AHWsy20q41S6XUNdRT5bFrWx4aOAdm b+9Jx16LnA9Tu0UUUVBeWdtf2slrdwJNDIMMjjIIrBgmuvCckNnqFzLeaTK+yG+mbL2xJ+VJSfvK TgB/U4PY1v3dpb39pLaXcKzQTIUkjcZDKeorF0i8n07VpPDuoTtKwTzrCeQ5aeEcFWPd0PX1Uqeu a6Ciiiiiiiiiiiiiiis6b/kZLP8A69J//Q4q0aKKKKKKK5zxb/x++G/+wyn/AKJlro6KKKKKKKKK Kz9a1aPR7AzmMzzyN5VtbqcNPKQdqD0zjr2AJPAqnoWhzW8zatq7pc6xcLiRxyluv/PKL0UfmTya 3KKKKRlDKVYAgjBB71yot5vBuoK1sAfDly+JIef+Je5/iX/pmx6j+EnI4zjq6KKKKKKKKK5/xXPc TQ2eiWUvl3GqTCN2DbWjgHzSsOOu35R7sK3YYY7eFIYUWOONQqKowFA4AFc7pR/4SbVn1meMHT7O RotMVgMOwyrz/iQVX2BP8VdLRRRRRRUN5aW9/aS2l3Ck0EylJI3GQwPasXQLiTT76bw1dMWNpGsl lK8gLTW54Ge+UI2knr8p707xdYTXGlLqFkGN/pUn2y2C/wDLQqDujPsyll/EHtWrp1/b6pp1vf2k iyQXEYdGU5BBqzRRRRRRRRRRRRRRWdN/yMln/wBek/8A6HFWjRRRRRRRXOeLf+P3w3/2GU/9Ey10 dFFFFFFFFFFc5YLFr/ie41Vg5h0h3s7UFvlMv/LWTGOo4QH2b1ro6KKKKKiubeG8tpba4jWSGZCk iMOGUjBFYXhCeWC2udAumLXOjuIQ7NkywkZic/VeD7qa6Kiiiiiiiiuc0zytS8barqIKuNPij0+J lckBj+8lGOmeYxkf3cdqm8XXksOjrZWrul3qcq2cDR/eQv8Aecf7qhm/D8a1rO0g0+ygs7WMRwW8 axxoOiqBgCp6KKKKKKK5jxur2FrZ+I4FJk0e4Esu3G57dvllX34O7Hqo74rpgQQCOhrnvCvmWdzq +isuI7C73W524HlSgSKo+hLD8AO1dFRRRRRRRRRRRRRRWdN/yMln/wBek/8A6HFWjRRRRRRRXP8A iiJpb7w6Fx8mrK5yewhlroKKKKKKKKKKq6neDT9Ku70oXFtA8pUHBO1ScfpWd4NtPsfhDTIywd3t 1mkcfxO/zsfxLE1t0UUUUUVzt0kNj4/sLoMFfUrOW2ZQudxjIkU57YBf68eldFRRRRRRRRXPeCTH NoUt6kflteX11NIu7cA3nOvH/fIqPUmN38QNFtApK2drcXj54AJ2xqR6n5nGP9qulooooooooqtq NmmoabdWUhIS5heJivUBgRx+dZngud5/BulmWQSSx24hlYf30+Rh+BUj8KqQGaD4oXcZ2GK70iJw edwMcrD8v3n6V09FFFFFFFFFFFFFFYt9cyxeMNIhSNWSe1ug7E8rgxEY/Gtqiiiiiiiub8W/8fvh r/sMp/6JlrpKKKKKKKKKKzvEBVfDepl/uizlJz6bDVnT5IZdOtpLbAgeFGjwuBtIGOO3FWKKKKKK K5fxEZF8Z+FPKUMTNchs9l8rk11FFFFFFFFIenFc38Pt3/CHW24gt59znHTP2iTpUSif/ha7GRgY jon7oDqP3w3Z/Suqooooooooorm/AH/In2//AF8XP/pRJVa6SZvizp7R58tNIlMuDjgyADPrzXW0 UUUUUUUUUUUUUVzer/8AI++HP+ve9/lFXSUUUUUUUVzni3/j98N/9hlP/RMtdHRRRRRRRRRUc8KX FvJBKivHIhRlYZBBGCDWB4Dkf/hErWzmObjTmeymGSfmiYr+oAP410dFFFFFFc9eql9480yJTk6b ay3DlT90yYjUEe43n/gNdDRRRRRRRRWD4TnRrXULNYEt/sWpXEQjXjCly6nHbIcH6HNM1sRWvizQ L+RmQO01nkD5SXUMu4/WPAHq1dDRRRRRRRRUF9dR2NhcXkpIjt4mlcgZICgk8d+lZHgi0ks/BumR zHMskPnydPvSEyNjHbLHFQIgufiZLKAP9C0lUbPrJKSMfhG2fwrpaKKKKKKKKKKKKKK5zV/+R98O f9e97/KKujooooooornPFv8Ax++G/wDsMp/6Jlro6KKKKKKKKKK5clPDXjE5QR6fr7DMhfCpeAYA x28xR+LJ711FFFFFFRXNzBZWst1cyrFDCpd3Y4CgdTWJ4Ttblre51vUIjFfatIJWjK7TFEvESEHo QvJ92augoooooooornbUrpnjq8tjuWPV7dLmLJ+Uyx/JIAPXb5Z+g9jVjxZYTX2gTNaQ+be2jLdW ig4JljO5R+OCPxq9pWpQaxpdtqFtnyrhA4B6qe6n0IOQR6irlFFFFFFFc54xkN3bWvh23uDDc6xL 5RKkhlgX5pmHH935e3LiuiACqAAAAPyrmvBga9/tXXnYN/ad65hIOR5Mf7uMjjuFJ/Gumooooooo ooooooornNX/AOR98Of9e97/ACiro6KKKKKKK5zxb/x++G/+wyn/AKJlro6KKKKKKKKKKqanpttq 2nTWN0pMUy4ypwyHsynswOCD2IFY+m61cabfpofiGVBcvn7He42peKP0WQd179RXR0UUVFc3MFnb SXN1NHBBEpZ5JGCqo9ST0rnbZrnxZqHnzQSQaDbsGgSQFHvpAQRIR18odQD944J4AFdPRRRRRRRR RWL4otLuXT4r7TkL32myi5hjHWUAEPH/AMCQsPrj0rTsryHULKG8tn3wzoHRvUEZrnoHj8J679ic eXpWrT7rZsHbBcsfmj9g5+Zf9osPSuoooooooqG7u7extZbq6mSGCJSzyOcBQKxdAtJr2+uPEWoQ NHcXI8q0idcNBbA5XI6hmPzN/wABB+7S+LrmdtOj0exOL3V3NtGwYAxIVJkk6j7q5PHcitexsrfT bCCxtYxHBbxrHGo7KBgVYoooooooooooooormtZdE8eeHC7Ko+z3vJOO0VdB9pt/+e8f/fYo+02/ /PeP/vsUfabf/nvH/wB9ij7Tb/8APeP/AL7FH2m3/wCe8f8A32KPtNv/AM94/wDvsUfabf8A57x/ 99ij7Tb/APPeP/vsVzXjGbzLnw2LaeHzP7ai+8cjHlyZ6d8ZA9yK6qiiiiiiiiiiiqupaZZavYS2 OoW6XFvKMMjj9R6H0I5FYa6f4j0EhNLuI9XsFHFtfylZ09llwdw/3xn3p8fjDyUJ1TQdY08r1JtT Ouc8AGLdn8qdH430iWRY0h1Qu5AUf2XcDJ+pSmf8JFrV+7R6X4Xukxx5+pSLboD/ALo3M34D8RTr fwxLfSxXnia7GpTxtvS2VdtrCf8AZT+IjJ5fPtiuiooooooooooormElHhPWmglAj0fU5i0MhcBb a4bkoRjgOcsDnG4kcZFdBe2VtqNnLaXcKzQSrtdG7/4H37Viw6lN4dcWWtzs9nkC21OTpjoEmPRW HTceG9jxXQA5GRS0UUVW1DULXS7N7u8mEUKdSeST2AHUk9AByawbezvvFF5Ff6tbta6VCwktdOlU b5X7STdcYzwnY8nkDG9qF/baXYT395KIre3QvI5GcAfzrG8OaddXF5ceI9WjCXl4AttCRk2luPup /vEks3ucdq6KiiiiiiiiiiiiiiiqWpaNpmsxJFqen216kZ3Is8QcKfUZ6Vnf8IL4S/6FvTP/AAFT /Cj/AIQXwl/0Lemf+Aqf4Uf8IL4S/wChb0z/AMBU/wAKP+EF8Jf9C3pn/gKn+FH/AAgvhL/oW9M/ 8BU/wo/4QXwl/wBC3pn/AICp/hR/wgvhL/oW9M/8BU/wo/4QXwl/0Lemf+Aqf4VLa+D/AA1ZXMdz a6Dp8M0R3JIlsgZT6g44rZoooooooooooooooooooooooooooooqvfWNrqdjNZXsCT286lZI3GQw rDtr+78N3Eem6sTLpmAlrqbH7pzgRzeh6AP0bvgnnoZI4riFo5USWNxhlYAqw+nesA+HtQ0oD/hG 9SFvCvSxvFMsH/ATkOn4Ej2pI/EesWzMmqeFr1AmczWUiXKNgdQAQ/J6DaTTT4+0SF/LvU1GxcjI W506ZSR6j5T/AJFSx+M9Nuin2C11O+Vzt8yCwl2KfQswAH401dS8TaplbLRk0qPH+v1GRXcH2jjJ z+LCp9O8MwWt6NRv7u41S/24E1yRtj7/ALuMfKn4DPuec6Gp6pZaPYSX2oXCW8EYyWY9fYDufYcm sezs73xDeRanqsRt7CFxJZWLZDMecSTA/wAXQhf4ep56dHRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR RRRRRRRRRRRRRRRRRRRRRRRRRRRTZI0ljaORFdGGGVhkEe4rAGkanoIZtBmFxZjn+zbpzhB3EUh5 XPQK2VHbaKfb+MdKNzJaaiZdJuYgS0d+vlKQMZKv9xhyOhPWtuOWOVQ0ciuCMgqc8U+iql9q2naY FN/f21ru+750qpu+mTzWKvim51hdvhnTZLpTkC+ulMNsp9ecM44/hGOnPpY0zw9Is6X+uXn9qagv 3GaMLDb5/wCeSfw9huOScde1btFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF FFFFFFFFFFRzwQ3MLQ3ESSxOMMkihlYe4NYMXgHw1bXLXNnpxsp2BAe0nkh25BHAVgB1PbvUc3ge GSJkj8Q+IoWI4ddUkJX8CSP0qWHwbZxt+91TW7lMFWjm1OZlcEY5G4VPpvg/w9pM5uLPSoFnznzp MyyDp0ZySOg71tUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUU UUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUU UUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUU UUUVR1fU49I06W6fa7qp8qIvtMz9kX3J4FZ6arPJ4q0+2CSxxXemvPJBJwYWVkxkdj87Dr/D7VvU UUUUUUUUUUUUUUUVxepeJJbjWbNtLtpGjGqppzXBudqSEBmkAj5BAAI3HB3DA4rY8Oand6hd63Dc gGOy1FoIXB5K7FbBHtu61uUUUUUUUUUUUUUVz0Xi6K68RvpFlaNciGcwTyo4/dME3MSv90ZVckj5 mwAcGp/CerPrWhi8dt6/aJo45Mf6xEkZVb8QBW1RRRRRRRRRRRRTXLiNjGoZwDtDHAJ7c1ydr47V tQh0q5scX7M0LrE5KeaJCgCkgEqQkjZ7BehJFXP7WvH8WaVZmJ4ftFjNNd2zEN5OGQIcjjOSw610 VFFFFFFFFFFFFFFUL/RrTUb2zvZvNWeyZjC8chQgNjcDjqDgflSWukxQardapI5lurhRGGPAjiXl UUemSSfUk+wGhRRRRRRRRRRRRRRRRWMnhfTbe7kvbSMxXReWWN2dnSOWQYZwhOATV3StLt9IsFtL fcwDM7yOcvI7HLOx7kkkmrlFFFFFFFFFFFFFYZ8MQwHUG0+8urRtRctMFlYqhY/OyDPyuezc4PQd q1LCxt9MsILG0j8uC3jEca9cADH4n3qxRRRRRRRRRRRRVbUNPttTtDa3aF4i6PgOVOVYMpyDnqBW aPB+hod0VmYXDRurxysrKyBgrAg8HDtk99xzmr1rpcFrf3V+C0lzchVaRzkhF+6g9AMk+5JNXaKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK5nxmJZm0O zS7uraO71NYpWtpmidl8qQ43Lz1UflT/APhCbP8A6DGvf+Daf/4qrknhqxktjD9o1FCQB5iahMH+ ud3Wq3gS5nu/BWmT3U8k8zRHdJKxZmwxHJPWugoooooooooooooooooooooooooooooooooooooo ooooooooooooooooooooooooornvFKq174dJbBXVkKjjk+VKK6GisPwbafYPCtnZ7/M8gyR78Y3Y kYZxW5RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRVXVCV0m8ZSQRA5BHb5TXOaf8AD/wzJp1s8mny O7QoWZrqXLHAyT81WP8AhXvhb/oGt/4FTf8AxVVvDul2ejeN9XsdPjaK3+w2snlmRnG4vMCfmJ9B +VddRRRRRRRRRRRRRRRRRRRRRRRRRXPeKVBvfDpPVdWQjkD/AJZS/n+FdDRWZ4d/5Ayf9dZv/RrV p0UUUUUUUUVyGoXXiG+8c3Gkabq0On28OnxzfPaLPuZnYE/eBB47/lUkWg+M4xGD42ik2E536Snz 9euHHr2x0FWP7B8RS/NP4xuEf0tbGFE/Jw5z+NJ/wjmu/wDQ6al/4C23/wAbqnF4Y8YiQGbx/M0f cJpcCk/ic/ypo8L+NQf+Sguf+4TD/jV1dI8YKoB8WWjkd20kZP5SUn9j+MNir/wl1rkYy39kjJ+v 7zHNP/srxf8A9DTZf+Cn/wC21Wt7fxJpPiWxF94gfVbS9aRGtxZxxCHCFt24c4yMY/2h1rrKKKKK KKKKKKKKKqar/wAgi8/693/9BNGksX0eyYgAm3jOA2QPlHfvVuucsf8Akousf9g20/8AQ5q6Oiii iiiuA0Wf4ga9pUGp2+raPDDcZKI9o5ZQGI559q3P7K8X/wDQ02X/AIKf/ttH9leL/wDoabL/AMFP /wBto/srxf8A9DTZf+Cn/wC20f2V4v8A+hpsv/BT/wDbaVtL8XMQV8T2SjAGP7Kzzjr/AK2oV0zx wT8/iXTQMn7umE8ZP/TTrjH5n05Dpnjf7QFHiXTTD3f+zDuH4eZj9azvE954s8K6DNrUuvWd5HbP HvgGm7C4Z1U/N5hx1ruAcjNLRRRRRXJ69qutP4y0/wAP6VeW9ks9nJcPNLbecSVYAADctWf7K8X/ APQ02X/gp/8AttRyaX41DJ5XibT2Bb59+lkED1GJDk+3FMh8O+Ir280251zXbSZbG4+0eRbWWwFg rKPnL5xhj2rqqK5VfDfia2Z0sPFyw25neVIpNNR9gZi2zO4Ejnvzx1HSpf7I8Yb93/CWWmMY2/2S MfX/AFmad/ZXi/8A6Gmy/wDBT/8Abam8Jajf6hYXg1KaOae0vprUyRx+WHCNgHbk4/Ot2iiiiiiu P08g/FrWMMxxpcGQe3zN0rsKKKKKKKKxNaVW1/QNwPFzKVxnr5L/AP1626KKKKKKKKKKKKKqar/y CLz/AK93/wDQTS6WAuk2aqAAIEAAGAPlFWq5yx/5KLrH/YNtP/Q5q6Oiiiiiiub+Hn/Ii6X/ALjf +htXSUUUUUUVy3xHjim8F3EU5Ahe4tlkJ7KZ48/pXUDpS0UUUUVx1/8A8le0n/sFT/8AoYrsaKKK KKKK5vwV/qNZ/wCw1d/+h10lFFFFFFcLPeNoXxL1LULuxv3tbmwhjiltrOSZSyk5HyA4/Gtf/hON M/58dZ/8FNx/8RVe6+INlblfK0PxDdbs5MWlSjb9dwH6VD/wse22bv8AhGfE2c42/wBltn69cVIv xDsz5edA8RLvxuzpcnyckc/Trxnr68VMnj3T2jRm0rXULHBVtKmyvucLj8s9ak/4TjTP+fHWf/BT cf8AxFH/AAnGmf8APjrP/gpuP/iKZL490eCMyTW2rxovVn0q4AH47KSDXoNa8RadHaWWpIsIleSS 4sZYUUbcAZcDkk/pXT0UUUUUUUUUUUUVU1X/AJBF5/17v/6CaXTf+QXaf9cE/wDQRVqucsf+Si6x /wBg20/9Dmro6KKKKKK4zwRrukaf4N022vdTtLadUfMU0yo4wzE8E56Vf/4WH4T/AOgzH/37f/4m j/hYfhP/AKDMf/ft/wD4mtbSda03XbVrnS7yO6iRyjMh+6w7EHkHmr1Vb7UrDS4RNqF7b2cTHaHu JVjUn0yTVD/hMPC//Qx6T/4Gx/405PFvhqQ7U8QaY5xnC3kZP86wfH+pafqnhC4srLUYpLiae3VB Awkcfvk5Cjrgc/hXaDpS0UUUUVxmvzPpvxB03Vri3vZLKLT5Yw1tayTjzGdeMIDjgZyfSrB+JPh5 SgI1EeZnZnTp/nx1x8vOO9RP8UvC0Zw816pIzhrCYf8AstT6d8RvDWq6lBp9rc3BuLhtkYe1kQE4 JxkrjoDXU0yaVIIXmkOEjUsx9ABk1zS/EDSpIY5rex1m4jkUMjxaXOVIPIIO3kH2p/8AwnWm79v9 n63jGd39k3GPp93NO/4TjTP+fHWf/BTcf/EU3wP5j6dqNw9vPAtzqlzNGs8TRsUZ8g7WAIzXS0UU UUUUUUUUUUUUUUUUUUUUUUUVz974pmg1m50uy0K/1GW1SN5XgaJVXeCVHzuD2NM/4SXV/wDoTNW/ 7+23/wAdqW217VriQofCmoQYGd000AH04c81a/tHVP8AoBS/+BEf+NVtRvdYm064hh8PyvJLEyKD dRAZIIGTnpWtYxtDYW8TjDJEqsPQgCp65yx/5KLrH/YNtP8A0OaujoooooopjwxSsrSRI7LnaWUE jPBxT6K43wB/x/8Aiz/sOzf+grXZVy/iKGKfxl4XjmjSRC91lXUEf6r0Nbv9l6d/z4W3/flf8KfH p9lE26OzgRsYysSg4/KrFFFFFFFFFFFc54s/5CHhn/sML/6Jmro6qat/yB73/r3k/wDQTVLwh/yJ eh/9g63/APRa1sUUUUUUUUUUUUUUUUUUUUUUUUUUUUUVzukrjx34ibcp3QWfAPI4k6+ldFRRRRRX OWP/ACUXWP8AsG2n/oc1dHRRRRRRRRRXG+AP+P8A8Wf9h2b/ANBWuyrmtd/5Hbwt/v3X/omulooo ooooooooornPFn/IQ8M/9hhf/RMtdHVTVv8AkD3v/XvJ/wCgmqXhD/kS9D/7B1v/AOi1rYoooooo ooooooooooooooooooooooormoCIPiVfIhCLPpUMkg/vMJZFB/Liuj3KOrD86N6/3h+dG9f7w/Oj ev8AeH50b1/vD86Ny/3h+dclbTSD4v30CufKfRYnZexIlYA/kx/OuvooooooooorlvC32a213xVC jRx/8TMSFN3OWgjJOPc5/Wul8+L/AJ6p/wB9Cub8USRrrnheaKaMS/2kYxggsUaGTcPpwM/hXUUU UUUUUUUUUUVzfi6VIb3w2ZCiq2rou5+MHypcYPr2/Gtd9Z0uI4k1K0Qnd96dR93hu/bBz6Yqjqfi HQ30u7RdZ08loHAAuk5+U+9Vvh3NJP8AD/RHlYs32VVyfQcD9AK6Siiiiiiiiiiiiiiiiiiiiiii iiiiiisHXfBPh3xLdx3er6eLmaOPy1fzXTC5Jx8pHcms1vhT4Kdtz6OWPTJupj/7PU1t8MvBlozN HoMDlhg+c7yD8NxOKlb4d+D2JJ8PWfOOiY6f5/Gq0vwr8EyyF20NASAMJPKo4GOgbFIfhT4JKKv9 iLhc8i4lz+e7mkHwp8FKGA0YgMMEC6m5Hv8APWrofg/QfDlzLc6VYeRPMgR5GleRio6DLE4HA/IV t0UUUUUUUUVTm0fS7iZp59NtJZX+87wKzN9SRTP7C0f/AKBNl/4Dp/hSw6JpNvci5h0y0jmXpIkC hh16HHHU1eooooooooooooqG6s7W9jEd3bRXCBtwWVA4B9cHvVM+HdDPXRtPP/bqn+FJ/wAI1oP/ AEBNO/8AAVP8K0Y40ijWONFREACqowAPQCnUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUU UUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUV//Z ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image007.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAsUAAAGmAQAAAAC8OMTcAAAACXBIWXMAABcSAAAXEgFnn9JSAAAP xUlEQVR4nO2dTYwcRxXHa3YcJlKcTKIcEgtIO8oBcYrFBaIQty0ffAwSFzglKAcuSLG4gISgG4ww IodF4cAl0hxAQkhIGAkpkUDadjj4EmlzCwfEzu6a7AXknp2Ae7K9XdRXd1dV18er3h6EoqlDdsae /u3f/3rv1avq3g3C6xpoQ96QN+QNeUPekDfkTzb5NIwM/jjG+feCyBWcfAhVEUy+vzYy2DlGvhdA XpUh5PeqBEx+K4j81trIfw5w48tB5Jegn6bk1f8H+YUA8gthZOinyXhxGUL+LPTTZPzpQQgZQz9N x/0g8tHayOsYG/KGvCFvyBvyhrwhb8gb8oa8fnI1KvF8dFqgEZ6j0Y8fTwYjl0gd8XDky0+NcTW+ jquXyLvor3g4cqy8PR2QHClvV8ORi6nydjkgebIucq6SjzRyQeNF/Qh0zEeZHHRTE3nUi5yhk++w A6MqogdHkU6mfzPvSVbexhqZRWEe9yGnKjkxkZdRP3IivatPjjTydh9yJioFH/VZiUbe70Oeo0h6 V5+VaOReUzhHchLWZyU6OelBLhRyfaLRkEtOjs5M3rWQ1eICG6Xi88xC7pPfFXpkbWSpKlSxhTzu QcbpVvu6TCzkXtUu3Uqa10X9YhCynISLQcm5FBzNoeLg5OboTyPnPcltGtSJEkK2Hy6W0jI3s5Ed UWc/4qxQe1lsIbt8BpHbOwYBbjiOZdskbM/IVfKin2ZpJWzv4wxDzthKeIKlRNHJ/WaQrCoXRRvT Xj9IbJCAPifI7b85QLPjyL5NlfbbD0Nu16s2nXSyY7VyuFECyI7YcGiuGn+bsjEQGTfkmYXszEEn uZ4fK9mVKa4bKWlNjocmZ15yv/pMNxQ+cl/Nc8GRbrsOpDn3kl193dnIrhx0kQuxoZBujg7kcyF6 GTu5r8+lIEu3XXXN1+1Xu25PVqKXsZN7rrAAcs91kHD41J9YyX0118VOugk9GHm8LrIododWcm+f RbGTPjNQPK+RLMpouwyGdDLrIzt9FsVuz0bu29c15JmV7NppOh+YyHkZtZNDu6+0PUxj5NhGdvr8 vyXfql9UvEBbycFuNOHPy6j8xNTZyFW7p2Jl1EV+LoyMWqN95DDN8gn/9O3fjeXnmlTyisRzOrJE rpHciOTirWTaP6fyBslDLtqDjQxduZraybQ+x1WywKZh1NySx1hpN0xkkqpGsqFuSOR0AiLH2DCM 5Ei84jsVB5n4vEO+zIBk3Oypqvw1r+Yd22GxkVwnYZl/E6T5JpSc1uRVfggiZ1Bysz9ZFvSvC+mv ujlIyamJbFoHm/3J0cpDngtyYkIbRt3r47uLQ49m4QaUXPf6eMY0231ezB1kkxtN4dgprrvJQrPR DdMMiqUEV3Huzm6nZjM54l8T1l3JzxnrUXc9THOdhCU+dpOpGzMb2Vi1Wao8ILuIfGCfcVYfeQ3t MydfJOXDRw7WLJLwCBcwMlxz0ZDd9XmRP2XXbJxBQb7vJ/PYMGo2kksO2PX7PA6Muoqn9y6/geyu SGGaMZg8DiXzf95sHeRYkOk66MruUJ8FOeZk+any7olroOYsEuTfeMjBbvAzrYRH3frIfp8DyLno yAtffQ4nTwT5cx7yF0PJdY1b+XrR5+y1zk32VqTAHolcJ2Li+BZ2xobokcD9Rktm66Ar6kLXFFzS An1CyB7Nod0XLaOYHXmxGPFnSkDdaMhAzSaG7sYN1g9s0QL9AOCzo8vVNUvHD+SbLnZBZEg800eE 6KBllJLPEBsauX6OLL2AJrugGQSTz0m7eVGZhomNosUWZJe38JDn8FpXiG0VXVRgbnDywa1O+Ork kUreBmpOu0cRus+CnM442R91M+bzT8rOc2s6WVx6SWiGzWBGIqTzaFInU9gHqhtTEPmjuvsi5NhH Zh8oC0GG1rodfKzfaNLJaUT/u6rJvthoNR/rh9w6mfcwizyCuLHKn4STeadxWJMH1MxP7ncLIHkM J/Mk3K19dmfKqiHP8NJHLsd3//1HFOWgqJPJXs0VfyQZNoMLMYMpccOrmV+bQMmPwH3GtN+pkoKT j0HZvQD5zLYoDdmumf0Yb5DPOIvpZTXZug5ycuGIjc6glaVsyNZ47qFZJVsrUofs95lGxaohv2wj azkI0czJ+Syk8qekln7oJ09pF0r5e/51UKobfjKtGEumeU+4IR+2n4VcTukfLiLmxsE2mOz3uZrQ jq7WPAWTD/zkMSNHIPK8N3kfpjkFkfGYHZlwMlu75J8T1+vzawGa8Q/hZFmzfwZpGd1TfPaTYTmI sysogs5go3kGcSNDwWSj5u7Ivr83a8jQHPSSyV75lCwqDfnYrdlZn1W5YsM2U9yQHjnpkK815I7P ymA3Grd08hBuIKPm4cm73njWfLb/JEzF/kaewdxdRQX5pCYrPx6iDEa+CCKLFXYkk+MitpFZf/Rt kM+mtTsuIhuZ7kWrY0aOPfHMyAuumeytBNn6UBztNU5z3Q1wv+EgU6WrA0nz0popgWR6BrGUNS9A 5GYGV3YyfSJ5rpO9bjTk0kqmDf90rscGuGN0uMHWwHwt5Jv9yUunz5Q8y+vYcPf8CVZ9dscGviOT 91z7FDm7VzDyTq6vKbD+2UOey+RdkSngvk4lq2s3Iccs6hYxvVGDD2l2w+rzgT6DKjknMzOvfZ4B ui816lzkhJF3WP9MrjmIbORKdcMQzxo5LvE9Ss45ed9I3sVv/Pw8J6PdWduZu+K5aMguN9L6UaJV TvspQj4f4wOE4oIUh//8FE2LFE0/vIKmH2+hZy6T12+Km9Hk0kdfpZovPjzmM/iz5/+eSOSsQ0Yx PibkFXKPhIqKmLTxjFrEziU0n9Woe5yQx4Q8eiNDY1xceeJuip790fvo6Ue/hkbPEwAuopIe6W0v KCl7Otln5HNJ89yFbQZ3fHWjik7xQe3zXkBseGeQkufSDHrIqzAyy+6Ca55Dyd76LMiNG4dwcqci qZmikxczGDmGkbFUN8I0+2YQQyqS3+eu5iDyxO5zV7PsBi15g8bGLDieQZrlyn8wM5Gb52qbivRM hJfjlNa6l8tfoOnR+5emeP9vL+/9E03L0/e2cXnlsah8nFakKe1K3/vtu0ho3lPIUhUdvcPI5HNL UrX03/ggj6gUtQ6zYrlFycZap7pxmZC3duNiUubo2k5B6935Q9KtkK/oocX8cYw/qmOD3sPYFfGc P5LdMNc6pZMZU59LpYfgY0n/1SLqILUu8ZGbeF7SPlmJ5z1o3ajPckmXayKf1JpzmTzD0J6fx7OJ jCU3GrI56nQ3Fm5yo5nF8zEnm7sCnSxlipks+yzIjlqna7bPIG7IUpcbQgZolrI795H1/rnExbfS 6T/efvN5vJzv4H+lU1zdNGm21zq532jcoFFXdPJ6bMoUezx3+mfJDfpoVP6KlCmUHK9YDw2sot2e 35HdK7wvkT3roE5euclzONmZgxq5duM4gZGvATJF8xlIhtSNJX2pkx3ZbSNbo652g/sc0H35yFrU +TTPJbKn8geS63OkgNgYIOq02IDHc4LVddCnmZN3oJqLiaK5NJJPFPIxTHMxtpP11Uolw+LZs3Zr biQwn0fKCiuR7/efQYzVqGs15508EVEHrKIJ7nYF5TYlL26jh7e+QqCXEPol+d6CfAqtSDq51Xyk +Lw6Szxr5AdGsp7dMYS8quuGQsYt+aRxYwcfhGheNTk4MZNbzZB9t4ls0yyTgTnId20rtYqCfA6o SEvdZyN5Vq+wPjcK7fx5YidHK2UPC+tym74ugOx148mGfDLBkZkselFGjmqyY4XVNZ+Ma81Lh+a4 B5nMoEXzUtIMjo3imky2+CzvJsCrVX7NPoNLM9mfKRJZW7vVWnfCfS7rTDlIGJk9ufbAQTZ1BQ9M 5CYH58HkpUXzStM8OFnXHHz25a9INTnuodmV3Q15P5Dsrhv7IW5MlHUQovnDcLKl8uvxfM9LTlqy eR1U60YZg91IWp8XPrLcI8lk8wwq5Ng/gw05dmjewx+kj3EyeiYSZLbC2sl6DprJmXbGuKpPAp1R V9y+StaUvYyTUyM5Px/HOSePcqbZTy5j+ltsMZdEDykpOa8l2nxegdwo0Dcw/tSNLUb+buYjjwzk /JX9i2j6ByrrnSxyxQZgHSTkvFmt1M58pJHlyg84R4pFDjIyPr504cUc3STf4gWcL3tqVt3gmvVh 1BzgBlu7bznPN/ZD6oZGntjJZCozbw5K5E+r/QbRfNoCmxfirOBOCPkJQyfjJkM7xu4MOjQH7Qdb 8kInn7QvxAxmEhnaP9fkbYmsnbg2sRG3azfwxJWSIxN5EDdiOzlS49m8T7n7qytafeZ1I6JkS2zg 8T6NDTR15qCx8i8c93/qYazPse4Glt14iOw/0HXyLskfYhf8eo7Q65dGCN9++Ot4Pv34dPVxIjKF k3l9zn6ZOyt/vQ6qo/vs5R36o5+UHPPH2f3dV712+0ajGUJGUau5eOoLyH6DMJg8mmF+75iQEZLJ Rjca8p3IRKYz+oOEkUf0/tMqGzGfjz/vUiyRI1vPf2+RGNZu/9OzzQySa2iSQ7qvpEPe45e9RKTt RTp5B+N3feS2bmg/u5QqKRLj4jPplOYgfXQI30a81nnJPDZihXxELpMvJNkzaXwm1xwwzXUy2jXH /EREGV2f5a6A71MyCLnzi3C65IUUG469lUJO0u7zrUv9D0gZrCA7TZX8fve303c1lyhtos6Sg2Q6 LgvymJHjDsVErmgddZNJibzM/nn51VEAmV+bsHi2+PygdePQSu76rJAjIxnrPn9JLUY+8gweG+Fk RxXl5OdEPBsQHTL18NXaDS/5WRi5rSIJ0OfCQVbH/ALG91/H3I23ENcM6b685PZbcDKfwbSdnQCy JzYi+pF08vvByd69VTi5vutBLwHEswkxCPmOCXFi+kPMfrk9nPyXAHKVQDvzbfJlN4BM25gIdCZD ybMQMm9svZoZ2fxDDTZyylpor8/sd+4ViQXiGBCy7X+jYllTxGA90pGTrPzm+kCyO+qsw01maevR PCi57Qrq/9vFB0kfsrErEJ35RLytR3RGMlbdOCIxvX+ffIdnz6wZDzSDPclS6lad3WzMZzBvf49+ X/KF+dY5lKJzXyUd8+hVdD6pY2NuIzuizlL5xfDGs2NnaatIQHJkv9at2Vs34rWRHde6yXMP2fyb Rflw+8xWC0c8H2L7cJNLN/n0bm9y5SHPepOxm2z/eUE/OXKTk/5k2qzLe8iWzM/w+5Pn2tYGta/O SKYjMZK9A0CWx4b8iSBn7og7HYis94vZOdHQqOQd/sVetDtuqAt+Qr9tdpWdVnNy1j3fTmBklS3/ +QOZzLb0VxA6n9Ufqu/1dboC/3CvVoQ8It9plPUgB44NeUPekDfkDXlD3pDXMf4LZQMVih2l5aQA AAAASUVORK5CYIJ= ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image008.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIf IiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/wAALCAEOAcYBAREA/8QAHwAAAQUBAQEB AQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1Fh ByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZ WmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXG x8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/9oACAEBAAA/APZqKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKazqm3cwXccDJxk+lOoooooooooooooooo ooooooooooqrbanYXiyNbXtvMsT7HMcgYK3TBx3q1RRRRRRRRRRRRRRRRRRRRRRRRRRWH4g1Ke2v dL0+B5IBfTMJJ40DFERC5UZ7tgKD7nHOKymvr+bwvoME8rXGp6jcQyBhDhkQSCRmZOMBUwD05Irs aKKKKKKKKKKKKKKKKKKKKKKKKKyPE95eWWis9hGGnkmihBMe8IHkVWYr3ABJ/CuevGvIfCut2UFt sEt61npMccSqQp2qCFA6K/mHn+Fc+9dsgYIoY5YDk+pp1FFFFFFFFFFFFFFFFFFFFFFFFFFR+RCb gXBiTzghQSY+YKTkjPpkD8qkoooooooooooooooooooooooooopjRxu6OyKzIcoSOVOMcenFPooo oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo ooooooooooooooooooooooooooooooooooooooooooooorkfEHjltJ8V2nhuz0+K7vLqHzQ0t4sC g5IC5IPzHHT3FXf7d18xFh4Rud6HDqbyHkd9h3fN7Z259qk/tjXpbTzYPC8iy5wIrm8iTj1yu6of 7b8TxfNceEdyelrqMcj5+jBBj8acdc19ogY/CVx5jn5VkvYVCj/bIJx+Abt+DP7X8Xf9Cna/+DYf /G6sW+sa46MJ/DE0UiEA7LyJlbPdTkEgd8gfjUUuq+KVlYQ+Frd4wflZ9TVSR7gIcfnTRrHipctL 4TiKKCSItTVnPHQAoB+ZFQXPiTxJZWDXt14VhihjhaSUtqiDy8AnB+XHYDOep/GtzRb271HSYLy9 sDYTTLuNu0gcoD0yQBzjt2q9RRRRRRRXO+JrNr7U9Htv7XvdPjlllRltJ/KMp2FgCfbaT+dM/wCE Lj/6GLxD/wCDFqP+ELj/AOhi8Q/+DFqx9d0TUdDudJk0vxRq4mu9RS3IvJvtEYUoxwUOM8r655Pt V/RvH9hca3J4b1d4rLWbchHAb9zM3H+rY85ORwefriuuooooooooooooooooooooooooooooooop DnaduM44zXyr40i16w8ZXja5Ix1AS+YJQThhn5WT0Xjj0r2T4c64njrQgLy61OPUNOVYriSO6dFm zna3ykDPBz3rtF0G2UYN3qLck5N/N3PT71DaDbMVP2vUV2nPF/Nz7H5qd/Ydt/z86h/4Hzf/ABVH 9h23/PzqH/gfN/8AFVBH4bgjuZZjqOquJMYjbUJdqfTnP61P/Ydt/wA/Oof+B83/AMVTJNCtin/H 3qKAEEkX83bn+9WJaaXB4i1NbhJb2TRLfICzXbvHfyZGG2sTmNccHoxPcDnr6KKKKKKKK5zxL/yH /C3/AGEX/wDSeWujorm/F/8Ax8+HP+wzF/6Llrwf4pQm3+JOqHzAxeRHBXPy5VePrX0vbY+yw4Lk bF5fO7p3z3qWiiiiiiiiiiiiiiiqun6lbanFLJauWWGeSB8qRh0Yqw/MVaoooooooooooooorkfi F4FtfGejkKoTUbZWa1lHGTg/Ix/uk4+lfP2l61rngfXJVgZoLq2kKSQuSV3A4ORnB4BGfQ8djX0t 4V8S2fizQYNUszgONssZ6xuOqn/PTFbNFFFFczfef4su/sFncSwaPbyFby4iO03TDgwo3XaD95h/ ujvjooIYraCOCCNY4olCIijAVQMAAemKkoooooooornPEv8AyH/C3/YRf/0nlro6K5Lx/DJOnh2O JFdjrtscMcDADk/kATXi/wAWvsx+Jl/5fC/uvM2DndsGevevo6xieCwt4ZJmmeOJVaV+rkADJ9z1 qeiiiiiiiiiiiiiiisXwzbC2tr/YPkl1G4kU5znc5J/8ezW1RRRRRRRRRRRRRRRXm/xZ+Hw8R2B1 nTIgNTtEJdETm5QduP4h2/L0rx/wNrs+i+IreCS+vLWwuplju1t5TGSM4ByOmCe3OMjvX0H/AMIX H/0MXiH/AMGTUf8ACFx/9DF4h/8ABi1J/wAIRFvL/wDCQ+IdxGCf7SfpS/8ACFx/9DF4h/8ABi1Z PiDw4LOG2s7fX/EL3eozi3hX+0WIHBZ2OewQMfwrtbS1gsbSK1toxHDCoREHYCpqKKKKKKKKK5zx L/yH/C3/AGEX/wDSeWujorm/F3/H14c/7DMf/ouWvD/iniH4nag8qBsGJ1RhlX+VeDz0NfSUfMan GOBTqKKKKKKKKKKKKKKKxfCt4LvTrsBNv2fULqHrndtmbn9a2qKKKKKKKKKKKKKKKK+cvjB4TXw9 4o+3WwxaanumVQuBHJn5l+nOR9favTvhJ4yj8ReHI9NuJB/aOnIEdcY3xDhW/LAPuPeu/oornLfb q3jq5n8xXi0WAQRqvaaXDSZ9wqoB/vGujoooooooooornPEv/If8Lf8AYRf/ANJ5a6OiuV8dTNAf DsitGp/tyBcyZxyrjt35498V4r8YEYfEm/wig+XG3yDtsHJr6G0SeS50HT7iZt8ktrE7tjqSoJNX qKKKKKKKKKKKKKKKyPDqNFBfQsVYJfz4Kpt4Zt3PqfmxnviteiiiiiiiiiisXxX4ms/CWgy6reDe EYKkQYBpWJ6DPfGT+BrGtfHGqXllBeQeG1aC4QPGx1W3GQfx6+1S/wDCY6v/ANC1H/4N7f8Axo/4 THV/+haj/wDBvb/40f8ACY6v/wBC1H/4N7f/ABo/4THV/wDoWo//AAb2/wDjXP8AjafU/GHhuXSn 8PQRSllkhmfVbciNwevB9CR+NeW/DnxL/wAIn4ygnnlEdpMTBdE8gIe/HocGvp5HWRFkRgyMAVYH II9adVbUb6LTNNub+c4itomlf6KCT/Ks7wnYyWegxS3MYS8vWN3dDv5knzEfgML9FFbVFFFFFFFF FFc54l/5D/hb/sIv/wCk8tdHRXLeOPJb/hH0uGCwtrdvuJ45CuV57fMF/lXiHxY8xPiTqReUNnZj B6KUHFfQk4C+FZBpcywAWJ+yyKNyp8nyEDuBxWRYeDbC40+2mk1DWi8kSsx/ta46kA/3604PDqwQ rH/a2qybejPdknHYfh09fXNcXaeOJvCWX166e70u51O8toZCC09sI5CACc/Ov4ZHHWvRrS7gvrSG 7tZVlgnQPG69GUjINTUUUUUUUUUUUVi+GftTW+oSXcLRO+o3GwFSu5A5VW59QAc962qKKKKKKKKK K88+MHhLUPEugQ3OnF5ZdPLSG2XnzQcZwPUAH69K8y+Fmr6FZ62+leI9Nsri3vCBFPdxKwt3GePm HAbgH3A9692/4Q3wt/0Lek/+AUf+FH/CG+Fv+hb0n/wCj/wo/wCEN8Lf9C3pP/gFH/hR/wAIb4W/ 6FvSf/AKP/CqWraJ4M0az+0XPh3SyXcRwxJZRF5pDwqKMckn/OK8p8T/AA1vrzxvY20aWdiNVhae SK1ixHZhANwxnntzwCTxXe+DPCen6t4M0m+u7rVHuJYFdpBqcwIPoNrAAe3ateb4c+HLhWWeO9lB 6b7+Y7DxkjLcE4GTWJ4y8LaXofhSSW3utSBWSGOKKS/mkjOZFG0oWKkYz1GK9D6DApaKKKKKKKKK K5zxL/yH/C3/AGEX/wDSeWujorjviMQLbw8WXcP7ftOM47tXj3xYh2/EvUE8sFpFjK7n6EovPb8j X0NdkNos5Ugg2zYI7/LTdDcS6Dp8iyJKGtoyHT7rfKOR7VerwP4kF/8AhEIQHAjPiDUCy+p81sH8 Ofzr1n4ff8iBof8A15p/KujooooooooooorE8Lvctbagty0pZNSuQglfcQnmEqAfTBGB2BArbooo oooooooorxT4w/Dt45pfFGkQZiYbr6JABsPA3qB69W/P1xb+GXj7xLrVkdFittPvLiyjBWW6umhd 4+gGAjbiO5+ld79s8a/9AXRv/BjJ/wDGqDdeNmRwNJ0VG2/KTfysM/TyhSG98agZOjaKAO/9pSf/ ABqm+GEudcEPifUwqzSxFLW2R90UEefvKf4mfAO7j5cD1z5/8cb260/WtIngu5I828iqsE5SRDkb jx2IwPfaa9B+HTM/w90QsoU/ZVGA+7gcA59+uO3TtXS1zvj2RIvB928kaSqJIP3bkgN++Tjjmuio oooooooooornPEv/ACH/AAt/2EX/APSeWujorjviMjPb+HlUZP8Ab9ofyLGvIviwgu/iheJGUbbH GWDSBBhYwSMngcCveLNt3g+BvXT1P393/LP17/WmeD4pIPBmiwyoUkSwgVlYYIIQZFbNeEfEYL/w ggO8Bv8AhJL3C8cjzJefX0/P6V6t4AVk8A6IrKVIs04IweldDRRRRRRRRRRRWXoYP/EwbHDX0hB7 HoP5g1qUUUUUUUUUUUUjKrqVYBlIwQRkEV8765a3Hws+KEV7aKTZu3nRbl4aJuHXjuOR+VfQdpdR XtnDd27boZ41kjbGMqwyD+RqasPxbdtDo32KCWSO71KRbSAxffBf7zD/AHV3NntitaztILCzhs7a MRwQII40HRVAwBXkXxogEPiXRdRe3t7yKOBw9vKTjAYctjnb83b0PpXoXgHzP+EB0Pzdm77FHjYT jbjjr3xjPvXQ1z3jaG3m0KL7WyeQl9bM6shbePNXKgDnJ9q6Giiiiiiiiiiiuc8S/wDIf8Lf9hF/ /SeWujorjfiT/wAevh7/ALD9p/Nq8c+MDRt8SL/y8cJEGwMc7BmvoCCTz/CMcowfMsAwwuBzH6dq k8PTR3PhzTJ4XaSOS0iZXccsCowTWjXgfxID/wDCHxMI2KDxBfgv2U+Y+B9Tz+Rr1nwLNFH8PtGm dlhjWyQks3CjHcmr8fifw/LJFHHrmnO82fLVbpCXx6c81egvLW6Li3uYpjHjeI3Dbc9M46VNRRRR RRRRRWVoIKpfx8bUvptoChcZO7t7k1q0UUUUUUVDeXUdlZT3cu4xwRtI+0ZOFGTgd+leSaL8UdZ8 U3EtvZvLbXSu7RWtrYJcM8WeCWeVBkdDge/rjb/tXxt/1F//AASW/wD8kUf2r42/6i//AIJLf/5I o/tXxt/1F/8AwSW//wAkVyHxItNc1XQVvtVttRZ7BsrNNp8MCqrEAgsszHrjHHWtr4SeMdYuvDj6 SukXOpSaeRslEyIBE2cAlyOhUgY7emOe3/t7xMOW8GzbR126hCTj2Geag03UJdf8aEz2FxYrpNmr pDc7d7PMSN2FJHCxkdc/Ma6uvG/jE6R+LLJ3gnmxpc2Fgfa3UjPTkAEkj0Fel+EIPs3g7R4f7llE Op/uj1A/lWzXOeNv+PDS/wDsMWX/AKOWujooooooooooornPEv8AyH/C3/YRf/0nlro6K5D4iorW OhszhSmu2ZUFsbjvxgevBJx7Z7V5D8XU874m3MCw7spFxGAGYlB+de8Wzxy+EopIoxFG1gCkYGAg MfA/CovBhDeCdDYKFB0+DCjOB8g9a2q8I+Ixj/4QQZx5n/CSXuOOQN8mf6V3umskvwe003EPnxm1 tw8QjDbxvXI29Dkdq6v+w9I+ztb/ANlWXkuu1o/s6bSMYwRjpgYrxvx2ZPBHiq91Twzt01o2tg8U I2xMHSTIMf3SPkH48969sspmuLG3nfG6SJXbHTJGanoooooooorL0PrqP/X9J/IVqUUUUUUUUhAI wRkGvEfiH4CvvCeqHxf4VZ4YY382WOEYNs3cgD+D1Hb6dO98L/EWz8RaNbXaWN89wW8u5jtrZ5Vg f1JA6HqMZPNbb+IoFk2DTtUYYB3Cwkx1x6fjVG48aw2wkaTQdd8uMbmk+wEKABknJPSobe2n8QRy 69qsWLMQsdPsHj37FIP711B+Z2U8L/CDjqSa8/8AgIrNqmtviXakcajDYQZZjgr1z1x6fN617XXO ad/yUPXP+vCz/wDQpq6OvD/jsWXxHpzqdoWxcFtpOMsR26Z6V674bjmi8MaWlw++VbSIO2c5O0d+ K065zxt/x4aZ/wBhiy/9HLXR0UUUUUUUUUUVg+IZzHq/h2HYjCbUGBYjlcQSHj8sVvUVyXxDnMNh osYRG8/XLNCWHK/PuyPf5cfQmvGvjLKJPiPeBSp2RRL8oHXYOvvzXvGmf8iRaf8AYNT/ANFik8Ff 8iNoX/YOg/8ARYrbrwj4i/L4DIXYA3iW8ZuzEh5QD78f0ru7K0S/+DOn2ayMiz2kEe8jJXLqM4rv K8H+MN1HJqOqRhh5q3drEyDnCrC7Bs+pLsMdgoPevbtL/wCQTZ/9cE/9BFWqKKKKKKKKzNGcudQy FGL2QcADsK06KKKKKKKKZNDFcQvBNGskUilXRxkMDwQR3FeJeGUf4afFuTRrqRV0/UxtiYEkbWJ8 r8cjafqTXuFYHit/tVva6EkrRSavN5JZeoiALS/mgK/VhWteS/YtNnmhRf3ELMi4wOBkD6cV5T8C BGZNakSQO0qQPJj+Fi0vH5Yr1+sLT7fHjPWbrJ+e2tY8cY+XzD/7NW7XiXxplhPiyz8xwPI05yRg scsWC8Dpzjk4/GvW/DsC23hrTIULFUtIgC7ZP3R1NaVct47uPKh0KDy2Y3Ot2iAj+HD7yT+Cmupo oooooooooornPEv/ACH/AAv/ANhF/wD0nlro6K5P4hRs+n6Oys4Eet2bMFXII8zHPoMkc+uPWvHv i/K8XxI1EpM0Ra2jU7c/OCi5X8a9z0wg+CLTBz/xLU/9Fik8Ff8AIjaF/wBg6D/0WK268J+JNuV8 DrI6srr4jvAARjhnkOf0H512cU0tt8C7SeFzHLHYwsjDqpDLg16HXgXxlQJr1+du3fLat2+b93IM 8fTvzx6Yr3Cwljg0O2mlcJHHbKzMTwAFBJrK/wCFg+EP+hisf+/orasr601K1S6sbmK5gkGVkicM p/EVYooooooqva2cdp53llj50plbcc8nrj24qxRRRRRRXnmufFhdO8WSeHNM0C41S6jOw7JdhZ8Z IUbTnA7/AFpU+IXizYPM+HGolu+2Y4/9Apf+FheKf+ican/3+/8AsK8/+J/iTVdeGnx6l4Ym0WS3 lLxzyMWcIcDsBgZGfwGO9ek+H9B1HWfDOmalL4t1uKa5s45HCSx7dxUcjKZ9e/Oan0zT5dO+IYtZ tTvdRVdKaWNr1ldoy0qhtpCjAIUZ+ldLrH/IFvv+vaT/ANBNeSfs+fe176Qf+1K9nrKsWH/CR6qu DkJAc446N3rVrw746W8b+JrBltzJIbFmOzAJCsxJJ9AK9j0X/kBaf/16x/8AoIq9XJ+OnMc/hllm aJ/7cgAK45yrgg5I4IJH411lFFFFFFFFFFFZOtyIk+k7jjdfqAMZJOx61qK5rx0FOkWOWwRq1ltG 7GT56fn3/wAivEvjL/yUi9/65Q/+gCvddFES+ArIQkFP7NTGDn/lnTvBX/IjaF/2DoP/AEWK268Q +J+B4HZcvlfEdxuDsGYZ8w9R2wRgdhiuqkYv8BoGIAzp8XQAD7y16LXh/wAYxL9s1UpEjR77He7f eT5Z8Y+vOfoK9VvP+RGn/wCwY3/oqjQ1X/hB9OyOP7Nizgf9MhXmvwFmYXet20crm3VIXWMvkBju yfTPA/LHOK9loooooooooooooori/iB4Ch8TWv8AaWn/AOja5aLutrhCVLEHIUkfoe2azfBXirxh 4u0mS4hm0SCW2k8maKaCUuCAOThwBnn8q2tRuvG2mabc30txoLpbxNIVS1nLNgZwBv6msHx9a6hY fDK61O5lX+05Zbee7O3GCHXES4/hQkY59T1NdZ4G/wCRE0L/AK8If/QBUH/NT/8AuC/+1q2dY/5A t9/17Sf+gmvKf2ft/wBl1sEx7N8WACN2cNnI9OmPxr2Ksmxcf8JJq0fOQkDe2CG/wrWrxb44PImr RMtoJ0OnbXcjPk5l4b+Y/GvW9F/5AWn/APXtH/6CKvVzfjQQi20iSWGOVk1i08sP/CxkC5HuATXS UUUUUUUUVR1casbL/iTNaLdB1P8ApYYoVzyPl5B96x2bx4VIWPw8rEcEyTnB+m2oCnxGMSqJvDYc dX2z88enaqhtfFv9taJLr76PNBFfEq9mJVdSYZFxhuCOa7iiuU+IIJ07SCI2bGtWZJCAhf3g5JPQ dsjnkDoTXjHxl/5KRe/9cof/AEAV6ppY8dL4Wtju0CS1/s9doPnK+3ZwTgYztwMeozXR+Cv+RH0L H/QOg/8ARYrbrwv4i/8AJPj/ANjNef8Aoc1b2lS+JJvhrpVpcWFjFpUiQK92l2VlSHevzbSMBu/X FerV4J8ZIRHreosCq75bViBnLHy5Bk9s8e3b3ruL288eL4WlQ6TozWpsDudbp9wUx88EdQK6jRcf 8INYY6f2ZHj/AL9CvI/hW2uwaxqa+H7fTbnda2xma4kKKv7vIA2g5Ocg+9empeePkRJZdI0SQbvm gjvJFfH+8VIp02qeNyD5HhjTkOODJqZbB/CMUsc3jyVA5stBgJ/5ZvcTMR+IXFTLeeMIFCzaPpd0 xyd8F88arxwMNGSST3qn9u+IMjALomiwjdjMl67cE+y9h19acbr4gKrP/ZehSbX2+Wt1IC6/3gSu B+NPm1TxuT+48Macowfv6mW54weIxx1/SqcT+PrX7Q0Gk6KwknL7WvZCTnvnbwOBx71div8AxxCD 9p0LSbot0+z37x7fXO5Dn8KjOoePZJiY9B0iGIAnEl+zM3sCE6n6U1Lv4hOu46ToUfzY2NdyE49c hcVYl1LxolzMsfhzTpYRxEw1Ig59TmPofTiqovviI7HGi6HGueA95IePwWrYuvG1v88ul6NeA8eX b3kkTD3yyEY9veq39peP/LYf8I7pO8gbW/tBsA8ZyNvPfvU0Uvj6SJXktPD8THqhnmJH4hcVwdhF 4q8MfFaa0t49LWXxBG05iDv5GVBYtnbuByH/AO+q6jXYfGt9LptlPFoZjkuw7Ik022TYrOA3y/dy oOB1wB0zWJ8Ul8USeEQ2sW+ktZJcxmT7LLNkZyoLZA+XJH44ruvBOz/hB9D2AhfsEONxyfuCqGqj WB4136LbadJN/ZyiSW8d12r5jcLtBzk9foKZqd142GmXULaNpM+YHUyRXrqDlTyAyduOp59q5T4C +e+matLIw2CWKJVHYqp/oR37V6zXFl/EFj4q8QNo+lW199peB/MnujD5eIguMbTuHBPBxz65q7Fc eO3uZFfT9DjiAyrG5lJJI4HC9j1/SvL/AIgf2k3iPU/7cmSCc6XEEXTt7xvmU7Q+7BC569unevcr aH7PawwYUeWip8gwvAxwOwqWuU8cvcxzeHZLS2S6uF1ZTHC8nlhz5Mv8WDj16VaF94vnCKmh6bak nLNNqDSAD0wsY5NOe68X26s50rSrvLYVIb14yB6ktGQf/r1JpF54lub3bqukWdlbCLl4rwys0mR0 G0YGM1t0UUUUVQ1a71Czt0k07SzqMhbDRidYio9ctwayf7d8Uf8AQmSf+DKGj+3fFH/QmSf+DKGq 1zq+tz6jpUeoeHTYQm9Uec17G4ztYAYXnvXXUVznjj/kD2f/AGFLL/0oSvEPjL/yUi9/65Q/+gCv YbXU9cTwbbGHw4skZskCqt+oIUx9eR2+ua1vBX/Ij6F/2DoP/RYrbrw34kxtF4CMbgBh4luiRkHG WlYfoQfxrXGoXq/BG2t/7CuEheCOMz+bGVCbgfMIzuwT2x3r1uvE/jArGXWmD4VZNP3Lj72VuMfl /Wuvn8Raxc+DgLbwrdtbzaUWM8tzEgUeXzxkk8HPYn0ro9DGfBGnKD102IZx/wBMxXjvwav9TstS 1ddP0ZtSZo4g+yZIAgUsBndjJP8AQ5r1CDxhq8l9dWcnhK686zWN5kiu4XYK+7BHIyflPGabc+Ob qG8trKPwlrBurreYo5fJTcFGTzvPTI/OrI8ReIZI4ng8G3fzhiwmvIYyuGwAeT1GDTm8S6xbw5uv B+peac7UtpoZV9stvGPyqE+K9Zfy0t/BWrGVsbhNJDGinv8ANvPH4VZfWvEQkQL4RmZCF3sb+EFT 3GM84/WnQ+JLyYsB4W1lNpA/eCEZyccfvPxPtUOm6vqDyXgj8MXUardMrMbmD5j3bG76f40r+JNY t1BuvCGoksPlFtNDLz6H5xjt+Z9KfN4j1GKKBl8KarI8wBKq0P7v2Y+ZxUX9u+KP+hMk/wDBlDSz +KtQiV1XwhrUkq5AC+TsJ/3vM6e+KeviTU5oXeLwpqalELYuJIY8kY4++fU8+1VrXxjqF1awX0fh LVJLK5QvDJE8LORn5SULjbkc9farVl4pmv7ue1i8PaoktuFMol8lQpYAgZ8zk4NNk1vxIuPL8ISv 1znUIR347+lclc3t1e/Gfw015pk+nyrZTgxyujg/LJ91lJyPyrsvElxd2t1pUtjYG+nFw4EAlWPI 8p8nc3HFcN8WtX1qbwVcW954dmsrZ7iMfaPtsbjg5G5VySDj6ZxXofhoTDwxpYuIo4pfskW9I/uq do4HtWFq15qln8QVfTdNbUd2lYeEXKRbf3pw3zde4/Greo6tq7+HL57jw1cxS/Z5P3a3MLj7p77v 6VyPwFiVPC9+4mRy93yi53JhR1yO/XjNep1ycU+pad4r1z7Lpk2orcPbygpMiCIeXtK/MRzlM8f3 vzvtrGuiPK+Fpy3mAbftkI+XHLZ3dc9v1ryH4lS6jqPia5nu9Lu7GSCxiVliuRIFRpCNz7eApOBj /wCtXvESeVEke5m2KBuY5Jx3J7mn1yvjeeS1m8PXMdpPdmLVQ3k26gu37mUcZIHfuRV4eIrw2rXH /CMauAuP3ZEO8844HmVEfE98sYlPhPWSjcAAQlwe+V8zgdOat6XrdxqVy0UmhanYKq7vNu1jCn2G 1yc/hWtRRRRRRRRWF4mhnnm0WOF/LA1ON5HDYIVVZsY77sbfxrdorl/Hsrx6XpipC0iyaxZq7D/l mPOU7j+IA/4FXi3xkRn+JF8VUtthiJwOg2DmvdtK3f8ACDWe8qW/s1M7Rx/qxR4K/wCRG0L/ALB0 H/osVt14N8QImj8C3TZBSXxVdMg7gfODn/gQY/Qiu0AVvgPbBm2KbCHLYzj5l7V6LXiPxiWI3GsM 4HmLJYeX/wB8z5/pXqM4ceAZRKdz/wBlncc5yfK+g/lT9C48D6dkkf8AEti5HX/VCvL/AIBrt1LX fm3ZihOcg5yWPPvXo+lf8j/4g/69LL/2tVbxMb0eNPDJsEgebbdZWdmVdu1M8gE59OKuzv4yJ/cW +hgf9NJ5j2Honrn8MUsFx4uX93cadpMjMGImiu5FROOAVKEnn0NTRSeJht8200o/3tlzIPXp+7+n 61AZPGI5FrorYySouJQTx0B2fSp7W88RzITPo1jbH+6dQZ8/lHVOzj8S28WofZ7fSTJLdNJGWupC FyFyGwnXg+nar1vL4jEQ+02mltJ3Md1IB+sZp0kviDb+6s9NB/2rqQj/ANF1SmfxsZW8iDQRHn5Q 80xOPfC1fWXXdo3WWn7sc4u3xn/v3Ve+n8TJbs9paaUHUEnzbmRh+iCpPC122oeFdLvXUK1xaxys oJIBZQcZPPeq+iSRv4m8RhIfLKTwK7Z/1jeSp3fkQPwrergtZheX42eHnUEiHT5nbC5wPmXn05YV 0eq3aR+JdBtCrF5nncMOgCxEH/0IVynxwJ/4QFQGwDexg8+zV2nh6B7bw5psEkwmeO1jUyKMB/lH IzWbbqtx8R7yVSQ1npcUTKR97zJHYEH22frWtrH/ACBL7/r2k/8AQTXnnwLSf/hHtSmmiCCS6UKV UBTiNRxj8K9QrD0i5E/ibX4xn/R5IIzkY/5ZBuPX71bleF/GG6jg8bOiXFzBNLYRIUjOUmBkPDeg AB9cnHTmvdKK5zxUSNS8NAEgHVhn3/cS10dFFFFFFFFFFFY/iCUwyaSwAOdRjXn3Vh/Wtiiuc8cf 8gez/wCwpZf+lCV4j8Zo1j+I12VmMheGIsCMbDtHy+/AB/GvdNHeOTwJaNFMZkOnLtkKbSw8v07U 7wV/yI2hf9g6D/0WK268J+IkscngKVYt/wC68T3atuGOcyE49RzXXt/yQSD/ALB8X/oS16PXhHxo jZtXvZARtRrTPPqk2P5V63crt8BzLuZsaYwy3U/uu9SeHozN4L0yIHBfTolz6ZjFeYfAi3a01jxB A3JjWJd2MbsM4yK9E0r/AJH/AMQf9ell/wC1qp+K9NtdW8X+G7O8R3hZLtiElaM5Cpj5lIP61Lee DvCOnWzXV751tAmA0s2qXCqMnA5MnrWbJY/DaFtsurwRk9n1uVT6d5KaLX4ZkEjWrY4GTjXJeP8A yLQbT4abC41eF1HXZrUzfykpPs3wx/6Dlr/4PZf/AI7Vayt/hkTcf8TiBf3zff1mRc9OR+95HvVs 2fw0CBzrNuFYkBjrkuDjrg+bTfs3wx/6Dlr/AOD2X/47U0elfDyXPlagkmOuzWJ2x+UlNi074cT3 CW8OrQSTO21Y11uUsW9APN61qT+AfDgt5D5F0uEPP9oXBxx6b6t+Cgq+CdFVH3qLGIK2MbhtGDio tBkZvFHidDwqXUAAGf8An3jOa6GuE1Z5F+NOhBIfMV9NmDtg/uxljn8wBz61r60pPjjwywBwBd5O OB+7Wue+OIJ8BIByTex/yau50hWTRrJWBDLbxgg9jtFZtjHEvjrVpEm3yPY2vmJj7mGlx+eT+VaO sf8AIEvv+vaT/wBBNee/AwN/wjuon7R50Zul2nBGP3a54/T8K9PrnNA/5G3xV/182/8A6TpXR14L 8Y7qWDx88KSKqXGnwpIpGdwEpbA9DlQfwr3qiuc8V/8AIT8M/wDYXH/oiaujooooooooooormvGv +q0TP/Qatf8A0OulornPHH/IHs/+wpZf+lCV4n8ZI93xJugrDLQxE5+UD5B3Ne76eVPgu1Kbgv8A ZyY3dceWOtM8Ff8AIjaF/wBg6D/0WK268L+JsEFv4Y1JLfgN4od3XbgKxtwT9c5zn39q61v+SCQf 9g+L/wBCWvR68S+M1rcC41G4DgQl7LcoIO75ZwM9xjB/OvTFfzvhzv8AMSXfpJO9GLK37rqCeSKs +FXE3g7SGibrYQgHHfYBXlnwTuGXxjr9pI7vI0e7PG35ZMH3/i4/H2r0jSv+R/8AEH/XpZf+1qTW f+R78M/9c7z/ANASrniNYWtrIzIrKt/BjcucEuB/WtKS1tpW3SW8Tn1ZAaQWNoAQLWEZGD+7HNKl pbR/ct4l+iAU37BZf8+kH/fsVQ0u2sZjeY062j2XTodsY+bGOT71oGztSgQ20JVeQPLGBSfYLL/n 0g/79ipUjjjzsRVz12jFcx4/tLZPCF1ItvEr+dbncEAP+vTvXS3QzaTD1jb+VY/ghSvgfQ1OMiwh HByPuCmaGjr4o8SlkVQ1xAVIH3h5CDJ/EEfhXQVw2qTxw/GjREkjLNNpkyIf7rZLZ/JSPxrW1p2H jXw0gA2sLsk49Ix/jXO/HL/kQV/6/Y/5NXcaN/yBLD/r2j/9BFZdrMo+IOoQRwA506B5plBG0h5A qnscgsRj0Naetrv0K/Xcy5tpBlTgj5T3rz34FSRy+H9TMQZR9qX5CMAfu16c9zmvUK5zQP8AkbfF X/Xzb/8ApOldHXhPxeic+OpbhDGpt7G3fLbST+9IwATzyR0B4B7V7tRXOeK/+Qn4Z/7C4/8ARE1d HRRRRRRRRRRRWRrzRLLpRmKBTqCAb8Y3bX29e+cY9616K5zxx/yB7P8A7Cll/wClCV4t8YLqeL4j agkchAktoomB5+Uqpxz05Ga92tIHtvCMFvJjzIrBUbacjIjwcHvUPgr/AJEbQv8AsHQf+ixW5XhH xElWXwRdZ3ecnii5WYsOScPt+vybAPYAdq7Bv+SCwf8AYPi/9CWvR68Q+MXl/adX3SlX8yw2oGxv +WfPHfHH0zXqU+z/AIQGXy12p/ZbbRt24Hlenan6ExTwPpzKdpGmxEEdj5Yryr4DPDJr+su3zzvb owkcjd975/fBOPyGa9M0r/kf/EH/AF6WX/tak1n/AJHvwz/1zvP/AEBKueIY3dNNZZCgTUYWYY++ M4x+ZB/CtiiiisnQkVX1NgMFr+QsfXhR/Staiiuf8cMy+FZ2RI3YT2+FlAKn9+nXPFbdyxW1mZSQ QjEEduKyPBTtJ4I0SR2LO9jEzMepJUEmo9DaZvFHiUSsxVbiAR7ugXyEPHtkt+Oa6CuCvyjfHDSw I2nZdKkz6W/J+bn1+7x/erb1mWRfGnhuIOwjf7UzLngkRjB/DJ/Ouc+OClvAaKOpvoh+jV3elxtD pVnEwIZIEU5BHIUdjWRp8sj+PtajZyUjsbTYpPC5abOPyqbxnLJD4J1uWJ2SRLGYqynBB2GuY+DE Pl+ErpnMLzG+dHlhwVfaqAYI4IxXoVc5oH/I2+Kv+vm3/wDSdK6Ovn34wQRL8TY2uLiby5LeBuFD bBuwQo47An6k+tfQVFYfiB401PQPMj37tQIX5N21vJlwevH1rcooooooooqtf2Qv7Rrc3FxbluRL bybHU+oP9DkVjr4TlETofE+vMWxhzcplcemExz706bwha3HlrJqms+XGDiNdRlUEnuSDuOPrjmsL xD4cg0mbRJ7bUNSdDrFsGguLx5o2Jbr8+SCPYiu8ornPHH/IHs/+wpZf+lCV4n8YIpJ/ibdxQxtJ I8cIVEUksdg6AV6jpXhFJvAdq/8Aa2t2cktiryrHfsd3yZxzuCj2XFdH4LOfA+hH/qHwf+ixW3Xh HxIgS28MarHGML/wlUjfi1urH9Sav6Xok/8AwpRNRk1bVEAiLCzMiiAjzjj5SucEc9e9e0V4b8ZF mN/qjIiGFWsvMY53A7Z8Y9uufwrrbLw9cXHw5hv38S63ufShKYvtCbP9Vnbymcduv411vh9DN4M0 yMcF9OiA/GMV5F8D7WSz8b6lDJ1Fg2D6jzUH9K9S0r/kf/EH/XpZf+1qNZVj458NMFO0JeAnHA+R K0ddtL6809RpxtxdRTRyx/aCwjO1gcHbz0qn9r8WxhY20nTJWOMypfOqrnOTtMeTjA785qit78QH jOdH0SN1xy15IQ3POMLx2P4GpY5vHpAaSz0ADaGKCebPuuduM+/SmvqXjl5AIvDmmRKTyZNSZsDH sg781R0SbxtIL7y4PD6OLt/NRp5WKOQCRwPQitX7Z4ytkHm6PpV67E82988QUe+5DnvQNQ8YSrLj w/p0DLExTzNRL7n4wOIxgdaWR/GpkBig0EJgZDTTE5xzzt9c1U1u08SeINEk0+XS7G08y4iy320y EIsisWx5Y/u9M1013/x5zf8AXNv5VkeBv+RE0L/sHw/+gCotARl8VeKCykBrqAgkYyPs8YyPyP5V 0VcPeR7PjVp8jTP+80iQInbIfp/X8BU/jCzub/xV4bt7PUJdPmP2oi4iRWZcIuRhgRzXIfFLSLvS vDEb6j4mvdRae/jKQzKiKMBtxAUZ7/hXrsW3yk2ZKbRtz6fjXIfYb28+I2sNZ6vNYCPT7YMsUSOJ CTNtJ3A42kduuTUHjTRNZTwjq7/8JTePAllKzwtbQ5kwpJG4KCAenHQVT+Cn2VPCV3DbvGzR3rB9 pz/Avfv3r0WuIttO1S98ZeJm0/XZdNVbi3DIltHJvP2dOcuDitmDRNcSOUTeLLqVmXEbC0gXYfXG zn6V4d8WLO5svH8Ud1fzXztbxMJZQoPU5ACgADIJx719H0VyvjeK4nm8PQ2l49nM+qgLOiByn7mX seD+NTf2D4k/6HS5/wDAC3/+Jo/sHxJ/0Olz/wCAFv8A/E1f0nTdVsp3fUNel1JGXCxvbRR7Tnrl ACa1aKKKKKq6g99HaM2nQQT3AIwk8pjUjPPIB7e1UGu/EnnHZpFh5WDjdftuz2/5Z4x1qqbvxtnj R9Fx/wBhGX/41WXrI8UX11o0Wo6dpsEC6pBIXtrt5X+UluhjXjAPOa7eiuc8cf8AIHs/+wpZf+lC V4l8YneL4l3jxuyMIocMpwR8gr0Pwxrusv4PttPsF8OXAhsghRNVYyKNvdAhw3XjPrXZeCv+RH0L H/QPg/8ARYrbrwj4kzpc+F9UljyUPiqRQSMZK24U/qpH4VpaXqGqSfBAQf2QfsYiK/azdqcjzuSE PPB4x+Vey14R8ZnkXXNQXywYnS0BbfjawEuPlzzxnnHH412unarqUHw8srS9020sLSTTVt1vbrUo 1j5jCqeAeueBT9O8YXWk6RZWIstMu0trdIhcw61AI5NiDJG7B6DPIrnvBQ03whc32pXN/oM2pXRK lV1lF8uMkNsIIxuz1OccDHv2VkdYXVNQ8Q2dhZ30OoW8CwpBfg7vL38hiu0g7/XtUn2jxLf6rY3E vhiK1S0Z2LS36MTuQrgbQfx/Ctf7XrX/AECbf/wN/wDsKqXWreI4JQsPhcXKkZ3x6ggAPp8wBqEa 54oJAPg1wPX+0oeKnGq+Iv3n/FMqNqkr/wATBPnIxgDjvk9fSq/9u+Kf+hMf/wAGUNVdDuvEUVzq LyeFY4PtN0ZS5v4/m4VedoPIA/IetaE+r+JIv9X4WE3zEfJqEY4GMHkDg/nxUZ1vxOEDDwexJJyv 9oxZFXRfa75Sv/YkIYgZT7cMjP8AwDHFU/7a8TbnH/CInC5wf7Ri+b6f/XqcX+vzqY28PwxBoycv fKQD0wQFP19Ko6e/iPQtCsNPTw/DevbwrE5t71UUFQBkBlGB6CpdPbX0ury/k0SKJrvYfIe/BZNo x1Ckc9eDV1b/AF0ojHQoVLHBU3wyvufl/lXP6hp/iqbxhB4gstLsVNravatDPeHEysQ2VKpwQePm H+NW7i28R6h4g0rVn0m0t4rBZgYXvcyMXG3qEIAwAeveuU+M15fN4e0+C802KHzL5SkiXRcggHjG 0dfWvVIwREgIwQoyN279e9cfK+tRePtXbRrWwuS1naiUXVy0RXBlxjajZzk+nSpvEGpeIrbwfqs9 3pdlHJHaSsWgvWYAbTyMxgn6Vh/BC3gXwpe3cAdVuL5vkbHygKuB+tek1w9jqOrQ+J/EdxpWhNqd vLeJGZBdJDteOFFZcNyee9af9u+Kf+hMf/wZQ1478Sbu51T4kJBLpywXaxW8LRvKropJDctgYHzg E5HfnFfQ9Fc14vjvGudBksbUXU0Gpeb5RkEe4CGUH5j6ZzUw1fxJ5rp/wivyq2A/9oR4Yeo4z+dS Xep+IbdVMPhxLot1Ed+o2/8AfSipNK1LWry5aPUNAOnRBciU3iS5Ppha16KKKKKqajpdhq0HkX9r HcRg5AcdD7elc5rGn+CtFa0hvtLXdh2hWG0llOONxOwH1HWof7b8D/8AQKl/8Ek//wAbqTWbm0vt J0CXS43jtxrNuFRoWhIAc5+VgCO/bmuwornPHH/IHs/+wpZf+lCV4l8Y0Z/iPflRnbDET9Ni16X4 Y1nw7L4e0ayuIIV1k6b+4b7CV/5Z5bZJt29OuDXVeCv+RG0L/sHQf+ixW3XhXxLVk8M6ojOXx4pc gnsDbKcfrXTeHNEi1L4MQx6db2f9oXVsyB1HllyJckFj3+Xntn2rqz4l1kMR/wAIhfHB6i8tcH/y JXKan4MuvHPiWS71q0fStOPlExtcRtNIUVhgbCwAO/rnPHTnNekRWVrDZxWccCC3hQIke0EKAMAY qs+gaLJMZpNIsXlJyXa2QseAOuPQD8qmj0ywhjWKKxtkRAAqrEoCj0AxVhVVFCooVRwABgCnUUUV V1G1nvLN4ba9lspTgrNEqsVI56MCCPUVXGmXmOdcvif9yH/43WbotpeTyakp1u9Hk3rpx5J7KeRs 469P8a0f7LvfMB/t6+245Xy4Ovrny6d/Zl3/ANBy+/74h/8AjdVZPD1xJD5R8Sauo3FtyvEG5OcZ 8vp2+lWv7Mu/+g5ff98Q/wDxumvpN067TruoD3VYQf8A0XTF0W6W4eb+39TJcAFT5JUY9B5fFWbe xuIZlkk1S6nUdY5FiCn/AL5QH9au1jz6ZrUmovcw+Initz921NpGyrxj733j69aqNoXiRjkeMrhe AMCwg/8Aiay/iF4N1DxN4XtYIbsT32nyCYblCfaCBgjjhSe3bPpWovjENuz4c19cDPNgefbrVbSI 9R1jXtT1QR3+j2sscMUQlhjWWVl3biQwYhRuAHvuq54zRo/AGtI0jSMunTAu2Mt8h5OAB+Qrmfgb /wAiC/8A1+yf+grXo1cvpVlcy6/4hEcj2Ef21Cr26ofOJhjyTuU8j2A6nrXQWltLbhhLez3W7oZQ g2/TaorxD4kzQp8V1t5bI4uPsn7yQqAxDj5gSMbcZU54yDnpXu9FZupf8hXSP+vh/wD0S9UJLHxg ZXMWvaWI9x2htNckDtk+b1pv2Dxn/wBB/Sv/AAWP/wDHqs6faeJor2N9Q1fT7i2Gd8cNg0bHjjDG Q45x2raoooooooormvGn+q0T/sNWv/oVdLRXOeOP+QPZ/wDYUsv/AEoSvFfjBOsXxKvW8iN/9GRC HyQSY8bvYjIx7gV7T4a8g/DmwNuxeL+zV2kqFP3OeBVjwSQfA2hEEH/iXwDg/wCwK3K8P+JME1zo epwwRPLK/ikhURSxY/ZV4AFd14P8E2o8DaTp/ibR7ae6tFkwkyrJ5e9y2AfpjNa3/CBeEf8AoXNO /wDAdaVfAnhNGDL4d04MDkEW68Vv0UUUUUUUUVi6CiJqGuhbRrdjqG5maTd5uYo8OP7oxgY9vetq iiiiioLu2N1D5a3E1uc53wkBvpyDVL+xpP8AoM6l/wB/E/8AiaqDw5qImZj4s1Yod21NsHy56c+X nj+nNWl0WUKAda1JiByS6c/+OU0aFKoVV1vVAAcnMqNn2yVpU0OdR82u6m/uXjH8kqCfwuLgkvru tLlg37u8KcgY7Ace3TvU/iXT59S8J6np1sd89xZyRR7z95ipAzXK/Bm0uNP8H3NjeQtBc29/IssT jDIdq9a9ArkrRb691zxPb6bfQ2M0d7AfP+ziUkfZ0yCMjP8AStzSLTVbRJRqmqpqDMRsK2oh2Dv0 JzXifxQieP4xWLoQHkNqylpMDO7HXHyjj39a99orH1ppF1TQ/LZFzesG3HGV8mTIHHWqpi8b7zi7 0DbnjNrNnH/fytWzj1RJ5PttxazQ4Hl+TA0bA985ZhV2iiiiiiiszVtSvrAxiy0S61LfncYJIkCf Xew/Ss//AISPXP8AoS9S/wDAm2/+OVV8S3FxdadoM1zZSWUra1a5gkdWZfnPUqSPyNdbRXOeOP8A kD2f/YUsv/ShK8R+MYB+Jd2GbaDHDk4zj5BXvXhxYrnwhp0azRyxvZInmQ5CsNoGRmsux8AxaZZx 2Vj4k123tohiOJLiPCjOePkqf/hH/ES/LH4zuwg4UNZW7HHudvJ96y9CtItIv2v59L1zUdRvZXY3 U0CKqnABIQMFjyFAzgE4610jaxchSV0PUWIHA/dDP/j9QS+Iri3CGXw7q/zkKPLjjkwT67XOAPXp U66zMxYDRNSG045WMZ+nz80v9rz/APQF1H8ov/i6pP4saOaSI+HNdJjzkraAqceh3YP4Vbi1uaWJ ZBoepqGAIDJGpH1BfIrTRi8asVZCwB2t1HsadRRRRRWXo0omm1NiUMi3rIxXGeFXGffGPwxWpRRR RRVW91TT9N2fb7+2tPMzs8+ZU3Y64yeeoquviTQn+5rentzji6Q8/nTT4m8Pg7Trmmg9Mfa4/wDG j/hJtAGf+J5p3HB/0uPj9aP+En8P4z/bum49ftcf+NH/AAlHh7/oO6b/AOBcf+NOHiPQicDWtPJz ji6T/GmnxNoCsVbXNNBHUG7j4/WsXUrb4e6vete39zo81y4AaT7YqlgOBnDDPFVhoPw0Klg2kkDq RfDj/wAfrW0vUPB2iWn2TTNS0m1h3FiqXUfJPUk5yT9a1bTVtNv5TFZ6ha3MgXcUhmVyB64B6V4f 4/ufO+NcME8ayeXcWUcTHjYuVYjHfJY9a98orF1cM3iDQVLx7BPKxRj8xIibBA9sn8xV+fVtNtZT DcahawyL1SSZVI/AmoH8R6FHjzNa09M9N10g/rVy1u7a9gW4tLiK4hbO2SJw6nHB5HFTUUUUUUUU VzPjh0it9GeR1RF1m1JZjgAbq2/7W03/AKCFr/3+X/Gj+1tN/wCgha/9/l/xrnvG2p6Y2hwyHUrU LDf2srYk3EhZkJwFyScCsL/hX1v4x8ZXHirWYZYrBvLFrZvw0wVQN0g6qpx93r646V6LBBDa28dv bxJFDGoVI0XCqB0AFSUUUUUUUUUUUUUUUVjaHbfZtU135w3m3yy8KBjMMfHHXp1rZoooooqtdafZ X237ZZwXOzO3zolfbnrjIpsOk6bb48jT7WLDbhshVcHBGeB1wT+dRtoWjtIZG0qyLk7ixt0yT65x QdD0ghgdKsjvOWzbpyfU8e5o/sHR9gT+ybHaDkD7OmM/lTf+Ef0X/oD2H/gMn+FTJpenRsGSwtlI YMCIVGCOh6dajk0PSJZGkk0qyd2OWZrdCSfUnFN/4R/Rf+gPYf8AgMn+FSJo2lRxvGmmWao/DKIF Ab6jHNR/8I/ov/QHsP8AwGT/AAq1BZWls++C1hibaEzHGFO0dBx2HpXmfxB8EyR+JIfGUDiaNbq2 a7jKEtAiMo3pjqMDkEcda7f/AITfwp/0Mulf+Bkf+NH/AAm/hT/oZdK/8DI/8az5dU0TXPFehzab rNneTWrT7oreZZDtaI/McHgAgD8a6oxoxyUUn1Iqvc6Zp94VN1Y205X7plhVsfTIqW3toLSEQ20M cMS9EjUKo/AVLRRRRRVXUbq4s7Jp7WwlvpVIxBE6Kzc+rEDj61jf8JHrv/Ql6l/4FW3/AMco/wCE j13/AKEvUv8AwKtv/jlQ3er6nf27W154CvLmB/vRTTWrq31BkxUumeG9CvbTzrvwXp+nybiPJmtY GbHrlMj9auf8Ih4Y/wChc0r/AMAo/wD4mnw+FvDttOk8Gg6ZFLGwZJEtI1ZSOhBA4NatQ3dwLS1l uDFLN5alvLhTc7ewHc1gf8Jn/wBSz4h/8AP/ALKnv460SN2RxqKspwR/Zdzwf++KT/hPNC/6iP8A 4K7n/wCN0f8ACeaF/wBRH/wV3P8A8bo/4TzQv+oj/wCCu5/+N0f8J5oX/UR/8Fdz/wDG6P8AhPNC /wCoj/4K7n/43R/wnmhf9RH/AMFdz/8AG62tPv4NTs0u7cSiKTO3zYmjb/vlgCPyqzWLqXiT+zb1 rb+xNXu9oB821td6HPoc1BL4taO285PDmuydgi2gDZxnGC2fbPSkPi4jd/xTevfKAeLMc59Pm561 e0jWzq7yr/ZWpWQjAObyDyw2fTk5rUorL0tlfU9XZCGH2lVyPURJkVqUVHPMlvbyTybtkSF22qWO AMnAHJ+grA/4TzQv+oj/AOCu5/8AjdH/AAnmhf8AUR/8Fdz/APG6P+E80L/qI/8Agruf/jdH/Cea F/1Ef/BXc/8AxuiTx1osS5KakSV3KBplxkj/AL4pB490IgHGpD2Ol3P/AMRS/wDCeaF/1Ef/AAV3 P/xul/4TnRChfGo7QcE/2Xc9f++Pak/4TzQv+oj/AOCu5/8AjdH/AAnWkP8A6mDVJscvs0y4Gxe7 HKDj6ZPtTpfHGiwytFINRV0OGH9mXBwfwSiPxzoksqxoNRLOQqj+zLkZJ+qV0NFFFcvJ4v8ABEMr xSappiujFWU4yCOo6UqeLvBMisyalpzBBliqg7R78UkPjbwPbyNJDrGmxO/3mTALfUgVL/wsHwj/ ANDBZf8AfypJfHXhaEIZdbtYxIodN7EblPQjI5HvWrp2pWWrWSXmn3MdzbuSFkjOQcHB/UVaoooo oooooooooooooooooooooooooopKWiiiiiiiiiiiiiiiiiikwPQUYHpRgegowPQUYHpRS0UUUUUU UUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUV//2V== ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image009.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAA/MAAAEsAQAAAACncN7dAAAACXBIWXMAABcSAAAXEgFnn9JSAAAQ 4UlEQVR4nO2db4gcSdnAq3fW7IrrzQoHrrpmFk44PwgG7kuOW9N7IOQFQcGvIgZUIryvXM4oScx6 3Xcnl4CaVXnBU+P2+ekE8Q8oqHCmJ+5xe4Jm9IP6wT89yZ6O+K9nt0NmJzPTZVd3V01VV3V1Vffs xsMp2N1OP9316+epp6uep7q7AuC9LWDKn/Kn/Cl/yp/y/0P5XV8ud6XSngJffsyWXFypqPCdAr4n lQ4U+IEcUCCW8/sHzm8dMP9HcrEj5e8q8M9KAWGB2Jfyh9X5F6XiUasqP+xJAcNAKu57Un6/mD8s 4u9IAeaGTLy1W8z3pTf4MOjIxIHjyMSO3HkRf7+A35P2v4FXld/3pQqGHWkDB44p5UvrTuz/oFTB 0PNk4r5rycRb8sEraX8poGCAGz4h5Rf0jkn/58j5csBQfrK87ldD/DHlT/lT/pQ/5U/5U/6UP+VX K3Q6VY5fl4u35OInq/LDOblcnnLCUVV+wXwR3C/BZ9KUsCGvgcvp2CSLywhauWLCZ2oYckkLS+T0 1+IL9Wdr4JJGLf4oK37V8bmkNZCL2bO5KUeWT9dF+KxKB8qnUeX054p8kkGSg+fwC/y/Gt8T8Xu5 h+jzb8j5djGfKww/rMn5dlbM8oX9vw6fL9IZQqX2Z/hhwf2vy98u5jM1DLkB7nD154v8KUb58t8Y f/3H8w/weZsSv+B54yR9sYz9D4JvyQ8rEDNF6/JSfsjsNLNHsWK+eSw5xC3kMxFTyB3FBVRsKbo8 SRG1P08rMCl7gpcVh1Yhn7njeBozHPHmKRgcZNYT6c/f/oxJ+eoKLm8gEad8L5fGi/lSIGb0yVy9 SH++OlcOcORipijwJ108+h+Zxk34fJsdVon534OvgPqdNVDv312pBwDUb38aUFMMxh+aoFGBYdL/ yIRCMR+ICzkGlddQgoW3gvl6z8NyukmH6GGlQxP++Tdh5XWGb5FKdqPbZS/6G4Cule5aBCf8dm4N eVffSMVNsZjmzwCMoorRxDsNJEYuMogsGQyTG7q9OeafAeDICjDmugDMAvDARhd8FjRxCMu2Xepp N+8y+s/T/PT2BySLAKKb5OY+5j/UFIi7EPN/2Wzw4vZxRv/v03wv+WMQo4Av0qemvVm7jfnH1kT8 VcK3TRG/QfHnbtN8J5WM+Yz+qXnaTWJ/Lt1C/B9i/vVZAb97iubfd8TiD1kk1CMzAvFt4n9zogfQ e+8m/J82ePGdt9P2X1gS1DDmg0Upv/Etwdl3ZwlfZP878x+i+OCoAACW8E4guj1eIfyleYF4D2D+ ttD+zP1nPCWowT6Odxo1gbhdw9Uu38dL4d4a5m81XQG/5tB8W8Qn7zUAIX8O8w3RbGz30UvpVnNN xJ9h9CempspTHyF8kf3bRxqYz81GIMDD4/7HFIjPMXxiaqrY5KYA+yI+6VaMoyL+iOi/0BCIzzD9 n+gGA4RvNwXiLngM8x8V8Yn/Nc8L+DdPtcb8EDD9H+bPkq1FAaAN0hrC2s9E/JXTmL9uCs5+boPm R2UexINHXO6fp8ffkB7NSNn6gpOK6+8SXd7H8UD/dCji4woJv2j8zx1gw8YxER+bB9rSs2OIRZ0Y 8lvo/TN+FMeNknf1uHsa840ocqmdmv1U/3p9m4wyWb7gSoI4Zoxf84pfhQvX0a/P4MOsYfhHLmnp kCjegW6/FZ6FHRNehcMe3LT6fiT0tPkWy8cnhZYoeu2QpCTL/5MyH+9O3v/L17+Y7xN+oMHHG9X5 HYpfwv5C/vqrhm9i/mZqf+ScdP9XwE/ev4xfM0z4yPThiBwmin96lP+bUfsH0I/5kf/BrP5q/Gvo qN6Y3yeHifgdkui4Eb8V6d0y4Qtw2IkuYtAqz/e1+Q7H7yO+U4of6Ouf8HtwO/Y/wveSvFCJ3xHx 5e3P831Wfy95yKvCD6rzE/9j+aNWJf017P8TP27/u8tw2LY2L36zBTeQ/fX4m5r88f0HjDaIAm4A VgFog6Pon3XE96FO/5PlF9mfuv93/mrAZiOK4gwT3nSj4HyuRfMPpv0pPi/2dewv5qvbP4/vVeKT 8a/Y/3hxS59PxR9KfMr/HmmDfVBvghPA6FL+51bi6/n/GYH/Qz2+qac/Pf6i/ifpf3fQ+N8qM/5n 778hOazQ/2I+F3/GbxFNIv7Q4XdQ/JHoP6zfK36p+MvN4yu2f+X414JM++vxJx9/F9lfrH+PtL83 Kb6W/mM+rMjXu/95+1uHxqfzL5L//Qkq8B0Vfn77uzxfz//q1fjxFJAn5v++mG/BkxK+gv93svpb Wvpb6cOqLB+q8oOE71zoDLtm5/UvLlu3u9aVxXj8o/K/cnyF/Dvl2+P4kxn/i/lQyFfOf1O+u3P3 +Sj+/IGFXGovFjP5Vz6/VY3fS/m82IcNFf72gfFDb8zPj386Ffh++qhGzB8p8VP/y84/xHyN/C8+ HcZ2Hpmw/yD8QH3gaPCz479m/gFqTeL/cfzZBPWePt8qy3/j9eZixH+ttTrzcKd51Oo3zZbS/EPo U/xs/FHMT15Tx/MfUf79LjjqpPGvR/Fz+/905ro0/yTN7yD+EPNdT4GfFo6v5H/M+J/wV5n4V5Ov m38L4q/Vsf6V4t8S+cfZSfKV7I8/Kp+U/tn+r0h/Qfz3QpX2z+pfgl/J/7Tjb7cqH+8W89X932Xs f2VCfIX4M8ufqP56/AC1x0TbX53vRPzH3Y5rrcL9HWvzzU+++JuWAp9UWxR/FvHteP5nLp7/6abj 76HEnyn/shHPf30RnABzo6b5Fre9GPO3C/h4Q8K/lM/fJnyXF8ftv1WSD5X4zxO+k8OHBXy8u6j/ KXz+NkF+PKho8r/swub+O71/AHNws/uAC4xXEv9ryPnk/ROJ/U0V/7Nrsf/b2fnPS1J+mGt/il9X 4TvXb3728ebc5+GyNdzxbiTPH73ko418/kil/TtKfJx/x/3/DZJ/D6T8fP+j9O/l8n0q/074bjL/ W40/9r+4/wty+W4n/SqG5feq8QfKfCjWH/FHFfUPVexP5//9TngR8TfL8rvARHwX7kYm7dmrj82C E0uPRzvl/B9g/ePn71cXl8O/rpg31o+dDKP01Iunp9T4N9n3Xxain1NgzfDQI9SILzi/x9j/RQBs sAQWz7z8dHPeuvDMe0+j9LhRwMcbQScyVnPzhNVsBPFaSOt9ZH9kPjNPf5Yf278Bn4XDLfgLYn+o zHchyb88hEZmH/n4sNz8z0j4LhP/x/NvKvEHxUcHuGQzXPcV+JH+1zP8YcnnD39Bv90Akv7PS38V 8PH8D+an+Uf2/YdC/p/jes7hzUz+UTj/aGbsr81P+jETb4brFuJbhfys/qtVnv/o5X89avz5Wn97 vwtbdXv1/461rc2l2s7+ROPPHP0HmG8baP4pHv+NLmiAmuL8K94I4lBy08SbCf9CEZ/k3y4v1ou/ Lo35aDM8j349XsT3J8Y/jX4/a+LN8JPo10eL+HBi/Liqr5tQr/0nzNf2Pwvz7XMh2J+t2+DEmtFd OcT5f8zH+d8yin/vM56ccP6nnP9fTePPivl/9vmPcvx7tfr8gyD/OXS+bvtz/Arvv6rq3+P57uHy x/n/veAL7M/lHxPjC87vwNP5/Ir5v5L/haz+F4n9D0B/wcm9Ecd3JmD/gTJ/INY/5ncyfFOdr9r/ 9XqY72X0b/F8S1BBVf19mt+JQpaOc2sZ7gfWldqXOt77tPjj7w+yfD+X7435aPw7j+K/5WT+UzX+ U+A70vwz5W9s367dBfUnB9ceeAz+LDo4NPXsn893VfgOL2bevyzkBwV8wcmBAt9R5ef730N5+qvw zQI+qSuf/3D++IM/tI78zwoH+5ZvP2f9w2gfD4FxK/G/Evxs/PWwSvyVPH+fy77/GT5YwMe7y/C3 6eef32wNdy4/30ifP6KH4PH7l2dL8qn5t1z7Z58/d8bPPwn/4oT0F/FPZ54/9gj/GuFf0OG3qfmv +PO4FQBM+BM1/b1hr6r+WxsmfPkhNP80DNc34Ojz6vPPyP47iL9M+Nv2hzT5JrJ/D20OkelHOt// dJ9ZPHUKff/2MTR5eOb8Syvb7uU6fESDH1qI76PNPkIHGt9fmV9tre7snG64y/1hx0f6+3H/8xUN /jD2Py+IZ3XW0QtM6vq7/RsRN4o/0PyXR9o/Lqr8fsx3Yn6ozU/bH/FdpxR/EPMttNlCaE+L7w0D 2HPx9y9l+D3ED+Oh2NH//i19/oz5PX1+C/GHMd9FaEsn/7/wot21tqP4ZwW0378JjGBGO/93EL+P +NHu9ehKdPg1Mv8WjT8NNAmnzbcQv4c2Y3Rfy/68WNf+IST8ERp/BofMhzHfR/FHjO7dE36p+Zf8 +EuZP45/d9Xz3zH/cxZ0u1ZrdMr6sdF9j6nvf9T3z/p8xv+j0Gu5yvyfOP8SnM/Ev3H/00P538iP 4o9y+Z+nxd/h+EGcf/pRJ1im/9XlZ/U/m+gf9b8l+DtV+DDlBw75/lQ3/x8//+mX13/M5/Qv4o/9 T8CH2vy+DzvM+/dF/Pz8V5Hvs/r77Pff1fj69u+X4sf+NxH7V9C/BL9V2f6J0R13Mvyy/Z9e+9Pz L8n3H6j/X4m2TgD17084fqnnP7Vayl9fmfu7/cRDUS6pN/9Wke/w4ok+fzvs+OfVxnfSrUG0u23B wYeh5vxrJb43yfinnP678fcHDlxFt75g/D1QPhV//RShr3Hrfxy4/8X9/44DvxF/f5KMvxX4+s+/ WuG5hB/1v1fvAZ/u/6/C7PovlfmC87P6S/nmYfDj+Hef+H85fonxj+K/UI6/W+L5Z4+7/wKi/6iC /cvkf3T+k8Y/evFvCX42/zpbhV8i/82xfy5/xfrNEloF1bZGv0bL/d2xNOJvwcWzfJ/Pf2g+mBGu oIb5AyGfKK2kf8x/Ibn/R52M/gCsWHbtHLTBoydtsGDY4M2WPeYj/zc5/hNjvkB/Ov5v9FvdRdhe AMtvAACtZncdsOu/GpcFGsy+De9EC8e9BW40gDVqA+uD4eV1GHz/Ccwvyn+a3AJ4hg349W+5MkMW RQSL4G35C9yFjX9ZHvxL1EBRLc8Bq78GBr9bAWN+s/E9mP0fKtor1PqDOfxnCP/ZaMs2LWi/9pGo jYzv2OBI9Ldg/d05zL9j8pXfiiLwAn7ta4S/JhB3n0lrgPVrvBR2z5zE/GUBv128/iggyxoK198d rz/5mv8XifeI/ZddAf8TDP+KiH+0gF+XiXe7pzH/3Q1efOsEs/7ssoi/gHfWRMtzdt+H+Yawec4/ iPm2y4vbcwxftMDt2CmMpwXivdcR/YWXdw7733Uhv+ZQfOECvzYxq9A9u8YGFh/hpbBbv5RubQnX X51n/F/Ug1Drby6J+OP2F/LJ+rPbQj7r//tS/hGR/nvgnenW/XVeSvFbovWHWT44JaiBXn9UBBiv PzwjELdnsbh5XMBn7/+ZYxZ/yDtu4Z3C9ifrL4cLoqvfW5DzjzUoPuouYXMejEb7L1nDaPtK9DNL rX8t4LdfxvzZtoDf/h/S/3VF/OPs+CMs+GBD6P9LmG+Imqf9LL7/fn5ZwL/5B5pfUJD+XB17VzF/ ZU3EP475LwO0PnIXwhFAXmP+Fr0ExY6/hXwA7o/+NhENJh+m7u5iDcKaiB+Q/8KoKTKtocOv/1jY PJgPwP9GjO8uAjCMfiDyn18BYGP+vnsHgEUTgJqH2tGBzH/noMKPCzrvqajTesp0IXpx49sWqWJe dnkFRZkvK89F13IjGu9Optf5Jkt6+MT5FcqUP+VP+VP+lD/lT/lT/pQ/5R9m+Td4I0tTlaektAAA AABJRU5ErkJggk== ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image010.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIf IiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/wAALCADAAocBAREA/8QAHwAAAQUBAQEB AQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1Fh ByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZ WmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXG x8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/9oACAEBAAA/APZqKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKy9S16206aa Aq088Nq1y0MZG7aDhRyRyzcD3FQ3moXkXijRrSNGW3u7e4adSudpXyyvI6Hkj8a2qKKKKKKKKKKK KKKKKK5PW9Wtbq9lgkN6Lewu7e1lEFwYVlllZMD5fmO0MpPIB3Y57X9PvpX8Zarpyvvtre1t3xkn ZI2/Iz/uhDj3z3rdooooooooooooooooprukUbSSMERQSzMcAAdzWPpXiO21tpvJjYWq26zeczbS FbOAw4KkqN30PY07wnqc+seFtP1C5QLLPFk4zgjJAP4gA/jWxRRRRRRRRRRRRRRRRWZrmtRaNZGX CzXLA+RbbiHnI6qoAJz+HcZxVQatO3jCy04L5az6a9xcQty0TB0CZIOB95x749q3qKKKKKKKKKKK KKKKKKKKyLvwzp17qUuoSeek80cccnlSlAwRtyk47g96uJYIuqSag8jSSNGIowcYiXqQPqQCc+gq 3RRRRRRRRRRRRRRRRRVNtJsHujctbKZTKJieeXC7QxHTIHFOsbGKxSXYWeSaQyyyMeXcgDP5ADHY AVaooooooooooooooooqOeCK5t5LeeNZIpVKOjDIZSMEH8KyF8LWcWmT2EE9zGtwiQySl9zmFeBG CegwSPXknOea2Ioo4IUhhRY441CoijAUDgADsKfRRRRRRRRRRRRRRRRVO70u0vbq2upo28+1LeTI jsjKGxuGQRkHAyOhwKbaaXFa393fF2muLphudwMog+6i4/hHJ+pJq9RRRRRRRRRRRRRRRRRRRRRR RRRRRRRRRRRRRRRRRRRRRRRRRRRRRSAgjIOaWiiiiiiiiiiiiiiiiikJwMnpQCGGQQQe4paKKKKK KKKKKKKKKKKKjnnhtoWmnlSKNBlnkYKoHuTTkdZEV0YMjDKspyCPWnUUUUUUUUUUVk295dt4tvbF 3zaJZwyxLsxhy0gbnHPAXjt+Na1FFFFFFNkVmjZUfYxBAYDO0+tZGhtfLfala3F493b27xpFLLGF fcUBcEgAEZIxgcZIrZooooooooorG0rU7m78R65YylDDYvAsIC4IDRhjk9+TWzRRRRRRUN3Fbz2k sV2Ea3dCsgc4Uqeufaszw1YW2nWt1DZeUlqblmhghcMkS4AwMdM4LY/2q2aKKKKKKKKKw/BmoXWq eE7G9vZfNuJVYu+AM4dgOBx0ArcooooooqK4kgitpJLl40gVSZGkIChcc5zxjFY/he1tLZNQayuo pLee7aWOGGUOkKkDhccANgvj/ardoooooooorD8Z6hdaX4Uvb2yl8q4i2bHwDjLqDweOhNblFFFF FFFZuv3el2elSTat9kMGQFW7ZQjv/CMtwM+ppnhmOKHw7ZpBcRXEQQ7ZIXDJjJ4UjggdB9K1aKKK KKKKKKj86IzmASKZQu4pnkD1qEWEY1VtR8yXzGhEJTd8mASc49eetWqKKKKKZLNFBGZJpEjRerOw AH4mmqWuLY70khLgjG4Bl/EdDVfT9Lj04yFLm7nMgUH7RcNLgLnGMnjrz696u0UUUUUUUVHHPFK8 iRyKzRna4B+6cZwar22l21pqN7fxBhNfFDNlsglF2jA7cVcoooooprOqKXdgqgZJJwBTEKXVsrPE Qki5Mcq4OD2IpYbeG3UrBDHEpOSEUKCfwqSiiiiiiiimq6uMowYAkZBzyODVPSNHstC09bCwjaOB WZgrOWwWJJ5PuavUUUUUU2SRYo2dztVRkmh0SRCjqGVhgqwyDTYYIbdSsEKRKTkhFCgn8Kkooooo oooqlqWnWeuaZLY3Y822nADhHIzgg9R7irgAVQB0HFLRRRRRRTJYYp02SxpIvXa6gilRFjQIihVU YAAwBTqKKKKKKKw/E/i/SfCFvbz6s8qJcSFEMcZfkDJzWIvxc8JSzLbwXdw8zyLGE+yyA7icY6df atJfEkttkL4X16Z25eQQRZY5PXMg/D0B/CrNv4mM3+t0HWbY5wBLag5/FGYD8cUybxRLH9zw3rcv T7lug/m4/wAmo/8AhLbj/oUvEH/fiL/45VyTxBsUFdI1SQlgMLbcjJ68kcCop/ErxNhNA1mcYJ3R 26gdOnzMKjh8WF5Vjn8Pa5bFzhDJaBgT9UZsfjgUtz4qe3VmHhzW5grEfu7dOQMc8uOucAdeOnTN GTxDPcXazz+FfEEiRjMURt4Qqt3Y/veT6elaMfihJYDImi6wWXgxtZlWB7jJIB+oJHvSSeJ5EhSR fDutSMwyY1t03L7HLgfkTUcXi12lVJvDeu26scB3tVYZ99jsR9cY96oWfxS8K6h5xtLq4lFunmSt 9ndRGuQMkkADkgVu6B4h03xNpo1HSpzNb7ym5kKEMOowR7itOiiiuV8UfELRvCWpQ2Gow3jyzRCV TBGrAKWK92BzkdADWYfip4e1iQ6Xpb6lLdzBlVbe0PmcdcZIwSM4J4GMnFaVr4pNrEttB4Q8RKq5 HNtHyepJJk5Jz1781Y/4TWzU7Z9J1yGT+JG0yV9v4oCp/Amlbxvpgcqlnq8oU4LR6XcMM9xnZSf8 Jxp3/QO1v/wU3H/xFRy+P9IgXdNaaxEMZy+lzj/2X3H51J/wnGnf9A7W/wDwU3H/AMRR/wAJxp3/ AEDtb/8ABTcf/EVF/wALB0Y25uRbat5AGTL/AGXPtA9c7cUreMtNaZZTY69gKV2f2VcbTnuRs5NS jxvpm1i1nq6EfdV9LnBc+ijZye/0BqSXxhp0USSfZdVfeAdqaZOWX6jZwajHjbTthb7BrXBAx/ZN xk/+Oe1JbePfDd4ube+kkYHa0a20pZCOoYbeCBknPTFaGi+I9I8RJO+k3qXS27hJCoIAJGe4rToo orBv/G3hvTNQksLzVI4rqM4aLYxIOAccD0INZ0/jbw1rUUkFl4gZY4QJLlraGQt5fPAYD5ecZPpx xnInh8e+D7eFYYdTjjjQYVVgkAH/AI7U0Pj3wxcSrFDqfmSOcKqwSEk/980jfEDwsgUtqoG4ZGYZ OR/3zSJ8QfCzuqJqoZmOABDJkn/vmrNt4v0O8ieW2u5JkQ4ZktpSAff5aq/8LD8Kf9Bdf+/Mn/xN KvxB8KswVdWUknAAhk5/8dqNPiP4VcHdqTxkdVktpVI9sFevFC+OPCd26y/2l5mzayq1vJ8h6Zxt 4PzYq9/wlukETeVJczPBxJHFZzMwPpgL1qs/xA8LRuyPqoVlOCDDJkH/AL5pX8e+GIgTJqe0Bipz BIMEdR92k/4WB4WMCTjVkMMhIWQRSFWI64O3tkVr6Xq+n63ZC80y8iu7ckr5kTZAI7H0PtVyiiiu e1Hx34a0rUJ7C+1MQ3Fv/rF8pzt+UN1Ax0IrIPxI8N63cvp9jNqF0ioHlNnZyuWXP3flBIHqeOoA PWtOPxppkUaxx6ZraogAUDSbjgf98U7/AITjTv8AoHa3/wCCm4/+Io/4TjTv+gdrf/gpuP8A4ij/ AITjTv8AoHa3/wCCm4/+Io/4TjTv+gdrf/gpuP8A4ij/AITjTv8AoHa3/wCCm4/+Io/4TjTv+gdr f/gpuP8A4iopvHunRISuma5JIQdka6VOGc+gyoFJbeNLSOM+faa3K7MWyNHuAFB6KPk6Ad+9Tf8A Ccad/wBA7W//AAU3H/xFH/Ccad/0Dtb/APBTcf8AxFQ3XxD0Wxt2uby31a2gTG6WbTJ0VcnAySuB zUE/xQ8M2tsl1cNfwwSfclewlVG+hK47j866myvIdQsLe9tmLQXMSyxsRjKsMg4+hqeiiiivJ/jt eRWtroRKQzSR3TS+RKMrIoAyCO69AfrXHprsNy1pJdTWlykl7bvHvCwGBv3bSFVUbdgPyg5DY9s1 7t/wkmg/9BvT/wDwKT/Gl/4SHRNm/wDtmw25xu+0pjPp1pP+Ek0H/oN6f/4FJ/jR/wAJJoP/AEG9 P/8AApP8aV/EOiRsVfWbBWHUG5QEfrSf8JJoP/Qb0/8A8Ck/xo/4STQv+g1p/wD4FJ/jUM+teG7l 4Xm1fTnMD+ZHm7ThsEZxnnqam/4STQf+g3p//gUn+NPbXdHRyjarZK4G4qbhAcdc9aZ/wkmg/wDQ b0//AMCk/wAaRvEeglSP7b0/kf8AP0n+NfMFs2j/ANrNDe3c66XG7K5tY/3lyqlip5OATwMnpnpx Xvfwns10/wALXNpE6TW8V/KsE6HImTC/NkEg85Xj+7Xb0UUV4T8dJki8ZaZJiKTbZYaNsNj526r+ PGf6VS+HkkOjeO7I3WqwFnVv30U6tF5ZDlg7tjB3FcBepFe4/wDCSaD/ANBvT/8AwKT/ABq7DdW9 xEs0E8csbjKujhgR7EU/en99fzo3p/fX86N6f31/Ojen99fzo3p/fX86ZIsMpUuQdhyPm4z9KfvT ++v50b0/vr+dG9P76/nR5if31/OvmXVbu8udXv7WKZ7HS7zUClwlkGkWfDuS6gcNhTyN3p+Hq/wc 0u30zRdRELXG6S63GOdVDKmMxk4JwShBIPI+hGfRaKKK8O1u9mn+JOvwafp/9oTxSrNDLI7tBask IDllBADEqF3E8YxzXV/CqxSN72+8pbS5nhjS6tEgKorgsQ4Y8nO45HPsTXo1FFFFFFFFFFMmcJC7 swVVUkknAH4183aVc3lxoUqWOp/2dZXEq289qkUsm7IUFwVXkglmwT3HWvU/gvZXGn+D7u1uYXil j1GVWV12nhUHT8K9BooorwvxFdXl18RvE2j2Fpd373qpHEkMw8qN/LjJLqcLyYwpJI4yOa3PhNbP p3inXrO9tfs17DHEkqRRhYRgnGCOpOfyHfrXq29P76/nRvT++v50b0/vr+dG9P76/nRvT++v50eY n99fzoMiDq6/nSGWMdXUfjS+Yn99fzpvnRf89U/76FL5sf8AfXj3rm/iHd2cHgTVpLjyZVWHiOQb lZtw2ggc/exXhEyrcaPa2l9qNmytHLc2ljbOAIXLH5ZGJ2qCMnqWwAM9K+jPDsjTeGtLldWRns4m KuMEEoOD71pUUUUVz+qx2F54t0uyu7SK4b7LcSjzYlcAAxjv3yRV/wD4R7ROf+JNYc/9Oyf4Un/C N6D/ANATT/8AwFT/AAo/4RzQsY/sXT8f9eqf4Uf8I3oP/QE0/wD8BU/wo/4RvQf+gJp//gKn+FB8 OaETk6Lp5/7dU/wo/wCEb0H/AKAmn/8AgKn+FNbwzoDrtbQ9OIyDg2qdufSnf8I3oP8A0BNP/wDA VP8ACj/hG9B/6Amn/wDgKn+FB8O6GTk6Np+f+vVP8KP+Eb0H/oCaf/4Cp/hR/wAI3oP/AEBNP/8A AVP8KX/hH9F/6A9h/wCAyf4VB4bgjtre+hhVI4lvpQkaIFVBnoAPfJ/Gtiiiiua8ZaRb6lbWGbW3 kn/tC2G+WME7BKGZc46EA8e9R6X4d0x/EGuNLpWmNCJYUiQW6ZGIlJJGO5b9K1/+Eb0H/oCaf/4C p/hVGTwH4SlkaR/DunlmJJPkKOa4/W/CHh+wi8WXX9k2SRRWsUdmBH/qpijDIA6ZZ05Hp7V1cHw+ 8KLBGJfDunGQKN5EIxnHNP8A+EA8If8AQu6f/wB+RWL4t8DeGrfQS9nolhBMbm2USbAmAZkDDPbI JH403TPBPhqXxhrlvJoVk1vDFa+VGYwQhIctgds8fXFbn/CAeEP+hd0//vyKP+EA8If9C7p//fkV xh8GaLdWGux2+k2azx69FbwOUx5ce6DKg9gQW49zXZ/8IB4Q/wChd0//AL8ij/hAPCH/AELmn/8A fkVgah4Q8PadrOrXn9jWK2FrowcxCHOJC0hLBR32rjI54FdhoFrFaaFZpFZ29oWgRnitx8gYqM49 fqea0aKKK5HQfCumzjWLjULGCd73Urksefnj3lQrevQ8e9JaeH9AHjO/todOVHWxgklwWAYl5AD1 64Uj8q118KaKhBFo3BzzPIe2O7VJ/wAI3o//AD5D/vtv8ab/AMIxo2/f9j5xj/WPj8s4p3/CN6P/ AM+Q/wC+2/xo/wCEb0f/AJ8h/wB9t/jR/wAI3o//AD5D/vtv8aP+Eb0f/nyH/fbf40f8I3o//PkP ++2/xo/4RvR/+fIf99t/jR/wjej/APPkP++2/wAaP+Eb0f8A58h/323+NZ+v+HdJTw5qbLbLGVtJ SHLMQvyHnrVTQfA/haXQdNnfQbFpXtYnaTyRksVBzn1zVzwYipZ6mISotBqlwtsijGxQQrA/9tBI fxro6KKK4fw/4T0DVpNau9S0qzu521a5BkdAzYD8A/4UQeEPCc3i680//hHbEJb2UMmDEMEu8gzj /gFc/wCLPC3hux1XV400q2gji0WOaEImAsxmdVPHTJ2gn0rZ8XeC/DVn4PvJItEsLa8eNYopY4sb JXYIuD1A3MOafoXgjw3Pq2vrceH7NoYr5Ut90PyqvkxkhfbcW/EmsHxn4V8P2l1rP2LS7SAWehtL sWPaRI0nyuvqQFYZ7ZHrXcL4A8IlQf8AhHNP6f8APEVxsXhLQ38Qx/aNOsys3iCeJYvLzviFsTsO OAAwLYNb/ifwd4b0zwlrV3ZaJZQXEenzlJEhAZT5bcj0qHw34d0F9b1K3i0ewNtDa2quhgBIlZGZ jyOhV1/HNZ/iHwn4fgvtYtLDSbGGUaC8kYWIjY7Myq/oOnUc8fSuzh8NaPBa7m0mxM/lBXYW6ncQ PpXG+EtD0LUBolvd6XZ3Uy6EksrtGD95toPTknD89R+NdJrHhnQYdNtYI9GsVjS8twqiBeB5qj09 zVnWNA0JNFvmbR7EKLeQnFqufun0Ga09LLtpNm0g2uYELDOcHaO/epLm7trNFe6uIoFdxGrSOFDM TgAZ7n0qaiiisC8jf/hPdKk8r5Bp90vmc9d8J2+nYn8K36KKKKKKKKKKKKKy9C+5f/8AX9N/OtSi iiuf8ZStDptg6Yz/AGpZryMjmZQf0NR6D/yOfin/AK62v/okV0lFcF4nKXMHjG185ozFBazNv5QA ZPAHOTsI/wC+feu7Rg6K6nIYZBp1c549/wCRUk/6+7T/ANKI6TSP+R98Sf8AXCy/lJXSUVxNg6xp rruwVR4ljyWOAOYK7aiuZ1mR31DXLRUJ36KrBkchs5mGBjB79citrSJY59FsZoXV45LeNkZTwwKj BFXKKKKzNBdHtLgK6ttvbkNg5wfNbg1n2X/JRdX/AOwbaf8Aoc1dHRRRRRRRRRRWZ4l/5FbVv+vG b/0A0vhz/kWdK/68of8A0AVB4aRYre/jSIRhdRuDtGcZLlsgnrnOfrkdq2aKKK5vwX/qtb/7DV1/ 6FWPqsl3H8QdQ+y6fqd4Tp1tu+wXEcW355vvb2GfbHvUEraLa/2y+rwa0LhtMjaSK9lSVliLsFWN gSM+Z3JPJHIFQ3EOoKFl1Sz8XyWaSo8kct5ZlDhgRkKdxGccA1e1KQy6zqsGjWHiBpVnT7XPYXUK J5vlocBZW/ubc8VUhn02C21y18SQ68GfTxLMNRmjkZ7cMQfLMRwMFue/IqaBNbi3iXTfGFyrjGJN QtFx9CjKaill0uTR7SC2stcj1JNUljjijuka6juPLZnJd2KEGMnuRg+tMvDeW2lXbaxpfiy4sBbv 9q8+9tceXg7yQjAn5c9KsXqWjeIrptH0jX5rlYYTNPY3qxR8x4T5XcKxC46g0y3ks7ZdafWtP10X EekM0z31xGzy24LkhDGcBsk+napGa/urbJ8P+K2ikQHI1WJcjHtLnoagU6fPaaM/h7T9bSV9LUoL C4iR0t8/IrmQ4OCWxjPfNOaPVTPpa3On+IwseoQM1xfX0BTG8feWNvm64Ax1we1dzqv/ACCLz/r3 f/0E0um/8gu0/wCuCf8AoIrL8YzaVFoM8eqT2MH2iN4InvCAoZlwffpzx6Vr2Xl/YYPKk82Py12v /eGOD+NT0UVl3n/IxaZ/1yn/APZK1KKKKKKKKKKKKKKx/D1xHMdVjQktBqMqPx0Pyt/JhU+sarJp McMq6dc3kTPiZoAD5Kd3IJyQPQZPX0rRoornPG//ACCrH/sLWX/o9KTQf+Rz8U/9dbX/ANEiukor g9ckYSePlzlV0mJgCMjPlS5/kK7TTznTbY4AzCnQYHQVYrnPHv8AyKkn/X3af+lEdJpH/I++JP8A rhZfykrpKK891KOW20LxIZEALeIrd1DAMCpe2wcV6FRXI6h/yPOpnv8A8I8P/RslbfhmOKHwtpMU DO0SWUKoZBhioQYyOxrTooorC8KzxzW+piNGUxapdI+cfMfMJyMfUdeajs43X4haq5Rgr6bahWI4 OHmzj8x+ddDRRRRRRRRRRWZ4l/5FbVv+vGb/ANANL4c/5FnSv+vKH/0AVn+EmZrnxEGYkLrEgUE9 B5cZ4/M1vzO8cLvHEZXVSVjBALH0yePzqlo+rxaxbzOkUkEttM0E8MuN0ci4yDgkHgggg9CK0KK5 zwaAsetAMG/4nN0cjP8AeHFNlubDSfHF3cXl7HCbvToQqyfKPkeTOD3++K5zxDPY+INX1xrK9SaG PQomeSH59hWZ5NpA6EgdOvNbPivxNpN34VvodM1W0ub2aLFtDDMGd3JG0AA564+ntUWmeIdI0bxT 4jttT1CGykmvkkTzzsUr9niGdx+XqCOvasXxjqFnrFxrNzpd3DfQReHZo5JbZxIqMZVIUlcgHAJx 7V16+N/DBhR11q2YMQoCsSckdxjI989O9cda6hbDVLTWCziwm8TTuk5jYKVa12BuR03cZ9jXS+Lt f0i58Iaxa2+o28081lNFHFE4dmdkIAAHOTUFlqunaN4unt7+RbSW5061KvICocr5gIJ6ZAA689BV fxNqthq9prSaZdx3uNBuebc+YuT0GRxk+mc1fh8d+GIdOghk1VA/kKMeVIcfL/u1i+G9WsfDum+H rjVrp7aOXRUiVXiYgMGBPQZzgjr6fWti78ZeH9Wa0srHUVluJLyDYnlOM4kUnkjHSui1YgaPekkA C3kySenymodIM01jaS52QC3TYuMFvl6n26YHB9a0Cqt1AP1FLRRRWLeRz/8ACYaXJ5g8j7JcKY/9 vMZB/IEfjW1RRRRRRRRRRRRRWR4fhji/tN0QK0uoSu5H8R4GfyAH4Uuv2E+rWv8AZ6QkJIA4uVmK GCRSCpwOTyM8emD1rWoornPG/wDyCrH/ALC1l/6PSjQmB8YeKFCAES22W5yf3K10dFcVrKwj/hNj LC6I9hEkk/JBXynGMDptyST6N7V2FsqJaxLEwaMIoUjuMcVLXOePf+RUk/6+7T/0ojpNI/5H3xJ/ 1wsv5SV0lFcCIYbjTvEUM+4RP4li3bSAfvW56njriu+ornr62iOtavd7T5y6SkYOeNpaY9PqK0dA igg8O6bDbf6iO0iWPnPyhBjr7VoUUUVkeHLWK2tb1olIM+oXMj5Oct5rD+QFV7W4kk8e6lAxzHDp 1sUGOhZ5c/8AoIrfoooooooooorM8S/8itq3/XjN/wCgGl8Of8izpX/XlD/6AKq+HBDCmrttZD/a UzSyONoc8c56YC4Gf9mtW8luIrR5LO3W5mAGyNpNgbn+9g4/Kq+jRSxWTNcWKWc8srySRpN5uST9 7dgZyMduOlX6K5vwX/qtb/7DV1/6FULtqlz4/vrezvobeGDT7dmElv5hO55eh3DH3e+aztY8Q654 en1mB3sLiaKyiuoJltmj+9KY8ONx3YAzkEVb1L/hKdEsG1KS90i4EEkfmJHp7Rnyy4DkN5hwQDn8 KV5vEmt6zq1rZ32mW9np9ysIiuLFpjJmJHyTvA6v2HaqV/reseGINWtrk6bcTxaY19AbezMMYKtt IcbznOR0x0NdBa6f4hXLTavYcjP7nTyvJxnrIe+f0rFg8Qa5c2VjbxXlpFe3Op3Vn581qXVhEZMf IGGCQnXNXdTfxNo2jX2qT6pp032S3adkjsGXftBJGTIewwPemR32ua5rOp2+nalDYRWBgMSvaiXz N8Sv8/zDuccYqrPrOvaB/bNvdzabcNZaQ1/B9ntWiAYFgAwLnI+XsRWr9h8QXVulyniQQB4g2yOx QgHB/vEnuPyHvWJpviDxN4ibT4LG70+xefR4r6aSS1aX53ZlIUbxgfL3zWpqdhrkQsJJ9eWaFL23 82EWap5o8xR1ySOefzq34lsrjUdE1KMlEVLaURI+GSRtnys4x0B/h56ZrU0450y1P/TFP/QRVmii iisu8/5GLTP+uU//ALJWpRRRRRRRRRRRRRWH4ZeRjrHmSbsanMAmQfLGF449fvc8/N6YNblFFFc5 43/5BVj/ANhay/8AR6Umg/8AI5+Kf+utr/6JFdJRXBa67FvH6E/KNIjIHoTFLn+QrtNO/wCQZa/9 cU/9BFWa5zx7/wAipJ/192n/AKUR0aQpHjzxGSCAYLPBI68SV0dFeearF5WgeJQcnd4ht25GOr21 eh0Vy1/cSjxdqlsD+7OhLJj/AGhJKP61reGnt5PC+lPaIyW7WUJiVuoXYMA/hWnVa/vY9PspLqWK eVI8ZSCFpXOTjhVBJ61NFIJoUlUMA6hgGUqRn1B6Gn1h+FprmW31IXCFVj1S5SL5cZTzCc+/JPNJ a2zx+PNQuGK7JtOt1XB5+V5c5/76FbtFFFFFFFFFFZniX/kVtW/68Zv/AEA0vhz/AJFnSv8Aryh/ 9AFZPg8rcTeIJMOF/tqUgNlSf3UY5Hp9a6iiiiub8F/6rW/+w1df+hVBqd7daX4yklsNLW9kudPT zf8ASViPyyMFA3cH77Vk6no/iDxNLq13JpI08zabFbwI91HJ5rpMZMZU4GRxk1Z8Q3/iHWdGudHk 8MG0a+jMQkk1KAbc8Z4JP5A1KJ9d0PxNq4tdEj1GDULhLiN0vo4nAESIQVbnqn61V1HSNc8TXWpz 3mjnT1fR5LOOM3cbtI7OGGCuQB8vf1rSm8Ua7bSiN/C6gbep1WAE/gSOKzbfTtcGn6XqcWmJPcW2 q3V49ol2mdkglVQHyVJG8Z59as63qHiPWNDvdLPhpLL7dBJbC4uNRi2IWUrk7ck49AKkih1Xw7re oTwWtpfJfRwOqfbBDIpjjCFcMMHOMg5A65x3iu7TW/E0GrPNpy6cJ9IktIEe7jlEjvnDHZnAGBzn 8Kkg17xAumwQjSdKSURqjeZq64BwQeiH0H51l2VjrvhSXSri2sLTU0TR4bOYrfJEFZJCSwLfeBDc e9X5/EWs309na3Oh21vE17blpk1OKXaPMU/dHJOcD8zXV6r/AMgi8/693/8AQTS6b/yC7T/rgn/o IqS7uVs7SS4ZGk2KSI0I3OeyjJAyeg5otLg3VrFOYJYDIoYxTKA6exAJ5/GpqKKy7z/kYtM/65T/ APslalFFFFFFFFFFFFRPbxyXEc7bi8QIQbjgZ6nHr71ieFYJIrjX3ddqzatI6HP3h5ca5/NSPwro KKKK5zxv/wAgqx/7C1l/6PSq+mXUVn4s8Uyy5OZrVVVRlnYwjCgdzWnDquqzRLIfDtxET/BJcRbh 9cMR+tLca9LawtJLoepts+8IYkkOfYBsn8q4q/1C4vz40eDRNVze6bFDGjW2HDeXKOVzn+IdM8V1 9nrU0UFvatomqb0gXJ8pNowAMZ3Yz7daZceLDbTNFJ4d10kdDHZ+YpH1ViKzPG2rPN4Wk3aPqK/6 RbMu5Y1yRPGQPvcZOB+Pakt9fitPFWuXB0rVCVtbYzLtRipHmYCqGycjsM5INdANZlZQRoupcjPK Rj/2eop9dvI43aLw5qczAjaoMK7vxMnH41xuq6vc33hzxA8uk3du8erWp8uSWN8sHtxsyrEBunHQ Z611f/CUXMkjpa+G9VuGjfZIR5Sqv0YvhvcDJHekXxFq7ShB4P1MKWxvaa3AA9T+8zWLqt9eJ4x1 K4j0W+lj/sXyWZfLAU75CDy3Q/5FW9D124stB0zT7bw5qU7wafDuRXhynygAMWcckc9B0re0zUb2 +/4+tGudPGDjzpI2P/jjHFM8QRW9xZxQXFnd3IkmUIbUkNE/OHLAgqB69qtaVHeQ6TaR6hKst4kK ieRRgM+OT+dW657whFNHDq5mR1D6vdNHu7rvxke2QatRzI3jGeFTl0sI2fH8OZHxn684+hrXoooo oooooorO8Qp5vhvU496Jvs5V3OcKMoeSewqPw8jjQNLbzfkFjCNgAwTsHOapeEkZbnxEWGA2sSEe 48uMf0NbtzcR2tu88rbUQZJrB8H+IDr/APa7fbYrpLbUGjgaNQAItilRx15LDPfFdHRXN+C/9Vrf /Yauv/Qqiv8ASLTVPiBEb6xjuoYtKbAmiDorGUY69DgHH41g63b2PhzU/EUVjB5FrLoQla3icqry tJIowM4BPA4qPxX4c0X/AIRm8ltvCNxFex2pS3m2gmNs5GDvznJ64zVq20nR9Z1rxFcal4cmvZWu 4gC8aeZGBCmFBD8c88EfeFZWoppvhzWNTNlo9/YQSaDMZVVvmzvUB/vnp09ea3DoujW7KI/hw10D bx/vGjt2GdudmJHyCM4Jx1HesXToUe90vTrrRLmys5dfuGhs2jAjVBATtOGxw+5gBkHB9K2fF+ma Wvg/WXj8KKjR28/lyGGIbCEJ80c5GCevXrWfpVrp+teJNWlvfCs97LFDapMbkRN5ZEf/ACzJPIIw eDzn3pnidYtP/tBtO0O50+3/AOEfvEkSKFEBJKBCQrYwuWPsM4710cfhbQFtrRV8IabOklvueYW8 I2HbkZyMnJ7+/NYXhuzstRt9Ft7/AEA3tvbaP+5aYRSqwLoBgZxkgA/h1rW1LSdD00WdzZ+Fre1u BdW5ikitokYMZlBUEcg4yfTHfPFdPqv/ACCLz/r3f/0E0zSZJH0jT2MDIXt0LKxGY/lHBx19OKbr iJLpUscmknVUchWtRs+YZ6/OQOOv4Uuh2cmn6Pb2so2mMEBN5bYuSVXJ64BA/Cr9FFZd5/yMWmf9 cp//AGStSiiiiiiiiiiiiisLwxctPLrcbDi31WWNfptRv5sa3aKKK5zxv/yCrD/sLWX/AKPSqvhq F5PGnia4vI4/tCywBNhJCKYRjr3xjJrraK898RXmo2tx42fTgTImnwNuMpTyR5UpZx/tcDGO+PSu 20uGOOwidEVWnVZZGAwXcgZY+pq5XOePf+RVk/6+7T/0ojqtoUcsnj/xHLdLGJEitBGI2JCqRJ1z 1bjriusorzbVVl/sDxKgTCP4kh3tuKso3W2CvvnFejoixqFRQqjoAMCnVx+tXN6nibVbeyjt3kbQ 0cGbIAPmSAkkc4AJOO/tWx4SitovCWk/ZPMMLWUJVpfvsNgwW98YrYooornfB8rSQ6wG/g1i6Ucn pvz3+tLZoy/ELVXI+VtNtQD64ebP866Giiiiiiiiiis3xG23wxqrbQ2LKY4bofkPWjw7/wAizpf/ AF5w/wDoArI8MtKJ/EiQACV9Yl2sykqp8qLk4rp0DLGodtzAAFsYyfWorazt7MzG3iEfnyGWTBPz Mep/Sp6K5vwX/qtb/wCw1df+hVR8R3v9n+KdyXepW7zWKg/YbE3JYB25I2ttxn9TVS7tdE1g6o+o 69eLO2nxpMZbbyGihEhdWClBk7sjv0xRqmt25jaDUdY1pbSN1aaYaOyRlQQfmfy8BfUjFSXF7Z6X 4n1X7Fqmr+bcTI11Fb6YbiKKTy1A+YIcHaFJGe9Vp5dB1V9Yk1jVNRDjSnilFzYtbFLfdlnQFBu+ bHr2p0mtzSwRxDWfFMewf6xNBO5/rmEj8gKbFJoo0jTZ01zVTc2uqTFJHsy1w1wyOXRotnTY5PQY GKh1LVYLvT7yDUtb8TJZXEJS4L6IUVI8Yb5vK+UEZyfr0q7cT6bp3ie5fTdX1eOWSOE3UNrYG5hy I8IWPlkg7MHGR2o/tHSNSTVRq2oaqVOlSrKlzp7W22Af6xkygyeR69uKrDUJZbFTFr3ipYIY1TKa KPmHODzDk8dxx0qZ9S0W2fSLrTNS1PzjpihPs1g1y8tvn5GkGwkchsdOc0x9UlvdTss6p4gZWvIP 9HuNIMEB/eL1cxgj1+91rttV/wCQRef9e7/+gml03/kF2n/XBP8A0EVaoooorKvWC+JNLBB+aOcD Az2Tr6Vq0UUUUUUUUUUUUVznhH/j78Sf9hmT/wBFRV0dFFFc543/AOQVY/8AYWsv/R6UaErL4y8U FlIDSWxUkdR5IHFdHRXA65/rfiB/2B4v/RU1drp3/IMtf+uKf+girNYHjW3kuvDEyRYys9vIcnHC zIx/QGrluVPie/AUgi0t8nbjPzS9+9adFcR4nUromuZGM6vZn7xb+K29en0rt6K5G/8A+R51P/sX x/6NkrU8G/8AIk6F/wBg63/9FrW1TXdY0LuwVVGSzHAApeoyKWua8F/6rW/+w1df+hCtBd3/AAls mCu37AmR3z5jY/r+latFFFFFFFFFFVNVha40i9gVY2aW3dAJQdhJUjnHOPWqGmXbW3h3SreGMS3U lpEI4wcDhBlieyj1/DrVTwcGWfxGGbc39sy5P/bOKulooorn/CVvLbLrKTJtZtXuHAz/AAsQwP5E VVvLu1sviXBJdXMUCto7qGlcKCfOXjmszV7+zuvEeuT213DNFF4eAeSKQMqkSSE5I6cc1c8ca7o9 14H1iG21WymlktHCJHcIzMcdAAcmrGm6jpekeI9ehvdUtYJrm4iuVjmlVCFMKL3PPKdayNeutN1b xFqPlXFvewL4buPM8qQOB+8U4ODx0rpofFvh86bDeS61YpG6ISWuU4LAcHn3rirLUbJ9dt9QW8h+ yN4ouSLgyAIR9jx948deK6Xxjr2jy+CtaSPVrJ3ksJkRUuFJYlCAAAeSTxUej3mm6Prmom9vre1e 7htJQJpgu7ERXIzj+579PfFZ/izVbfUZtStNOu7e6jbw7emVopAwQ/LsyQcDOW6+lbVj4x8NPo8T LrtjhI1jb9+BhtvSsbwje6fpNj4d+3utpPNoYHmTFUUqrJwSe/z8D3Nbmq69pF1DYw2+qWk0k95b mNI5lYv+8U8AH0rW1X/kEXn/AF7v/wCgml03/kF2n/XBP/QRVqiiiisu8/5GLTP+uU//ALJWpRRR RRRRRRRRRRXPeFDGbnxAEQqw1eQOS2dx8uPn24wMe3vXQ0UUVznjf/kFWP8A2FrL/wBHpTtGmkm8 ZeJFkdmWE20ca54VfK3dPqx5roap6jqlppcIkupGy2dkUaF5JCOSFQZLH6CvPtY1dJZPHBFlfj7R pEWN1sw2DypeWz93r39D6V2Nhrarp1sv9m6icRKMi2PoKJvFdtbyeXJpusbsgfLp0rjnpyoIrK8T eKI5fDU0lrY3zK08UJaS2ZV5mVGwfXrjsTin2fiXd4q1gSabfbILa2ChLZmfB8wnIH14ra/t1f8A oGal/wCApqFvFNot6lkbPUBcvGZVi+ytkoCAT9MkD8a5HWta+3aFr5NrdDZrNqv+oIwFe34PP3uP 1FdhD4jiuIllj03VNrdN1k6H8jg0k3ia3tyglsNRVpCQi/ZWJYgEnAHJ4Brmp9ZjuvF2pXMdlfhT oCgLJasj8yPztODjn9D6Vq+FtWW38JaPB9g1F/LsYV3C1OGwg5res9QF47KLW6h2jOZ4igP0rP8A FEF5cWlkLaPzIkv4JLpcA5hVstweuMA4HPFS+GZdRm0GB9VDi6LyA71CsUEjBCQO5TafxrWrmvBf +q1v/sNXX/oQq2kBPjea4fb8mnIkeByAZGLZ/wC+Vx+NbVFFFFFFFFFFZ+u3c1jod9dQRLJJDbyS AP8Ad4Unnvjjt61H4ZTZ4X0obnf/AEOL5nbLH5B1NUvChjN14h8tSp/teQNk5yfLj5H6V0NFFFYX ha7e8/tiR1VSmqzxAL6JhQfyFY+pWGoar8Q5jYX8FjJYabGA8loJ9wlkcngsMY8sfmapXfie78PP qtlMuiSzJaxXKzQxmJJGeTy28wZOTxnINTapcWvh8Pfx3Xh2S6t7qJZESxCSASMFxkOSp2sSCRzj njNR3N42r6vqk0194aEWnXLQvBfWvmGONduZGkJBzkgYxgdM1n3HildATUooW8OOx0p51NjBsRpV YKEb5ju4Y8e1aNmot7JoIvF/h6MzjcfK0yMKeBnAEnzD3NRWXin+0ILDSZZNJnvZdWuLSdpLfKqY xIVk8vdwx2r3/ipNWupdG0+8vbDxPoO+whd0tItNQZZVJ2ZEmQSSfpuNSL4hk1vWtQik1/SLbTrZ YR5FxarKswaMM+WLjgEkU+213+y/7XsbbUdIm8nTvtkc9tbCIKxYoAyhipCgL3B5FaAs9ee7NqPG WntcBd3l/wBlLux1zjzOlZ82s3usLpdg2p6ckdxps1xdTzWiyoxSREB2lgACWPc9KW4ku7Y20tx4 r0+9t4r+3jkhg09UOTIMDcrnbyD27EV0es63YRWV/bPLIJEhdXIhcqp255YDHcd6l0nVdPltbO0j vYGnMCYjDgsflB6fSqXjK4uYrTTreGc20V3qEUNzMMjZGdxIyCMbiqpnI+961p6Le3F/pcdxdRok 250fy/usVYruXvg4yM+tX6KKy7z/AJGLTP8ArlP/AOyVqUUUUUUUUUUUUUVznhH/AI+/En/YZk/9 FRV0dFFFc543/wCQVY/9hay/9HpS6JFJH4w8TO6FVke2ZCf4h5IGR+II/Ct+VnWJ2jTzHAJVc43H 0z2qhYaW0d02o37Rz6g6eX5iKQsaZyEQEnA9T1JHsAOT1z/XfEH/ALA8X/oqau107/kGWv8A1xT/ ANBFVtRt7y/njs0bybIjdcyA/NIOR5a4OVz3b04HXIy/HMcUHg50UrFFDPa464VVnj44+lW9PiVP GOsSCEoZLa1JcsT5mPNGcdsdK076S5is5HsoFnuMYjR22qWPTJ7Duah0zTTYo8k0xubuc7pp2GCf RQOyjoB/M5NcfrsLwaF4hDs5L67auN56AvbYx7V3UzvHA7xxmV1UlUBwWPpVSwtJcpe6gkJv2jCu YslYx12rn69eM4rAv/8AkedT/wCxfH/o2StXwcS3grQyxJJ06Akk5J/drWzRRRXNeC/9Vrf/AGGr r/0IVfWWMeMJIS6iRtPVlTPJAkYE/qPzrWoooooooooorM8S8+FtWA/58pv/AEA0vhz/AJFnSv8A rzh/9AFZvhH/AI+vEf8A2GZP/RUVdJRRRXPeEInhTWVcAE6xcsMEHgsCOnsaoeINQmsfFscdtrOm 6XLPZDm+gLiUBzwCHXGN3c96q3Oixa3bahfPrulZlsorffAgMMYWUyb2BbuT0yKLuO41cmxl8TeH RFJPFLNHBARI5WQOvzeb1+UDoelKptdN8R6xYw6/onlXc/2qXTryM7onKpk5345I3Yx1ap/skOt6 pfvPrWkyt/ZT2xitRzGrtnzGO/plenH1qrLrmoWaEy+NfC6CFQCfsh+UHAHSb6UC0DaVpusJ4n0j zItQku1uvJ2wSl1ZCgG/OcMec5qjqesPf2l7os/jnwzGLtHglWO0YN84KnB83rzVu+8jQ/EN9G3i fRYBeRwvNZ30RLfu4woORIODtzgirNokWoX2p6jc+JtKml/sxbZ2tUASFdzMJGDOw6k8e1Uf+Ezm /wCh+8L/APgG/wD8eq1dS2Oj2WiamPEulwTraSwx3FwpMdwr7WLIoccBlU9Txxmq0fiY391YWY8W aDe7r2HMFpbsskn7xT8v7w4x1PFdxqv/ACCLz/r3f/0E0um/8gu0/wCuCf8AoIqw6JIhR1DKeoYZ BpQAoAAAA4AFLRRWFq0txH4s0BIVzHL9pWY7c7V8sEHPb5gtbtFFFFFFFFFFFFFc54R/4+/En/YZ k/8ARUVdHRRRXO+NUL6VZYx8uqWROTjjz0p2kWyxeMfEE6XXmecLYvEMYjYIR9ckAH8RXQUVxGvu 8/8Awm8AMR2aPGqgDaeY5j8xPX+grrtO/wCQZa/9cU/9BFWaxfGErQ+E9QlQkOkW5dq7juBGML3O eg71PbsD4jvOQSLS3yPT5pa06K4rxUQdF1rBBxq1kOP962rtaK5G/wD+R51P/sXx/wCjZK1PBv8A yJOhf9g63/8ARa1tUUUVg+FoY4P7YWJw4OqzuTuDYJ2kjj0JPHaoXB/4WbEcHH9jPzj/AKbJXSUU UUUUUUUUVFchGtZVkxsKENk4GMc1i+BI5IvAuiJKjI4so8qwwR8tReEf+PrxH/2GZP8A0VFXSUUU VlaLOkt1q0aIFMV8VYhSAx2Ic57nnnFYuo6hp1h8S7dtQu7e3V9IdF86RV3N5y8DPU4BrA8SXGna 5qWuvpd3bXcEeiQmSS3lRkUrcM5yQcDgZ+lbHi/xL4eufCepQaZrWmzXrwEW8dvcxtI0n8IUA5Jz jGKdpmt6HpniTxNDqmp2FrI1/GypczohI+zxDIDHpnNUvEur6bql8qaNfWl5Gmkaj9o+yyLIEBRN u7bnGSK1dB8U+FYPD+mxya7pMciWkSsrXUYKkIMgjPBrnba7sxrdpfvPCLKfxPcNFOWHlyKbQqCr dCC3HHet7xR4l8PXfhTV7Sw1nTpruSymSGGC5RpGcocBQDknPpUWja1Zadr2uxavqEFqqm1ZVupQ mMwICfm9wPxqvqt9Zaxda9JZXdvdaUmjoZZbeVWRZVkkbBZT1A5I9OtdMPEnh6RW8vV9PfA/hmQ9 RkdDXLaPe6Tps3h671XULeyxpEqRGd1jR9zxk43Y9Bgcda2dS8RaFqEVtb6brOm3Fy17b7UinSQn 96ueAc9M1uap/wAgm8/64P8A+gmofD00tz4b0yedAkslnE7qvRWKAkCtGiiiisq9dV8R6WCwBaKc KCepwh4/KtWiiiiiiiiiiiiiuc8I/wDH34k/7DMn/oqKujooornPG/8AyCrD/sLWX/o9KTQf+Rz8 U/8AXW1/9ECukorgdd/1vxA/7A8X/oqau107/kGWv/XFP/QRVmuc8ejPhWTj/l7tP/SiOk0gf8V7 4k/64WX/AKDJXSUV59rFrLaaD4jWUKDLr9tKuDn5We2xXoNFcjf/API86n/2L4/9GyVqeDf+RJ0L /sHW/wD6LWtqiiiua8F/6rW/+w1df+hCr6yxjxhJCXAkbT1YJnkgSMCfwyPzrWoooooooooorM8T c+FtW/68Zv8A0A0vhz/kWdK/684f/QBWb4R/4+vEf/YZk/8ARUVdJRRRXO+D/KMeteUGC/2xc5z/ AHtwz+uar38E0/xChS2mt4ZRpZfdJbCRuJQODkY6+v8AKs/V9Z1Lw/Jq1ii6fKYrCK6jf7P5Qy0p jKsN2G4GR09Kva5DeeH9GudY82wlFkvnMn9nhSyggkA7uDjOD64qWBLvWdZ1dBLYRJZXKwoGsxI5 BiR8sSRzlj+GKq397f8Ah6+mgMNtcRy6Zc3CSR2YjCvEAdrEMeCD6fjVrT9LvtS0i1uzdWEL3MCS HbpynaWUHjLe9U4dXu7mW30ppLOKaPVJrIytZ5VtkZkXYu75TgjJJ7H1FTa9baloej3GsQX9gjWK mdgbBVEigcrnORkdMc5xTLd9V1zxPq8cOqJBY2hgC2z2aSCQPEHyxPPU+tR6jq95oU2qWDPbyrDp yXSeVY4G5pGTDKG5HA/DPpWvJpWtIkhh12KDK4/d2CcYGB1Pb39KyNK1W98Q22gpPNZxz3umG7kM lp5hZgUB28gKPm5+oqfU9Jv7CC0nN3FOI7y33RQ2UcbTfvUH3s8Y68YrotV/5BF5/wBcH/8AQTTd FnjutDsLiFt8cttG6NjGQVBBq7RRRRXn3xR8RN4Uu/D+tLai6a3nmURF9md0e3rg+tYdt8cLm5vI rRdAhMs5jWP/AElwAXxjOY+gzyfpjNd20vjaaR1S10O1RR8rPNLNuOeuAq44z3PUU1rnxvGpQaZo k7gcSi8ljDH12eWSPpuNLG/jh48vFoMTFfu75m2tnrnAyMduOvUY5T/iuYvnb+wLkD/lkomiLf8A AiWx+RpftvjX/oCaP/4MpP8A41Tbmfx0yy/ZbDQo2XHlmW6lcNzznCDHGKcJ/G8I2Np+iXZ6+Yl1 LCPptKN+eaYbnx1I+1dM0OBTjDteSybfU4CDPbuKhim+IrXGZLPw6kI5IE0xY+2ccZ9ccehqz9t8 a/8AQE0f/wAGUn/xqp4rjxWyoZNO0mMs2HAvJG2j1/1Yz9OKimn8ZQMSljo10hAP/HzLCVOOeqNn 9Me/WuEs/jRqt/bPPa+F45VjkEbKl2zMGP3flCZOTwMd+uK634dXc+oWOsXtzAkEtxqjyGOOTeoz FF0bv/kV19FFFeefFPxjpOjJaaTew3Us7TQXgESjayJKCQSTwTtPaoNG+IWkP4n1B7TS9TmuNUEb xQRrG8jmNSrEgPhOADyeRyOtdSPFN00TOvhTXMqDhWjhBPH/AF0py+KxHaLPeaJq9sxUbkFo0pVj 1HyZzj1rlr27uNT/AOEvmtdH1Zo9T05ILdnsnQtIscgIw2D1decY610sXiKaz060T/hHdZmcRKrp HbplCAODucD8s0f8JraJ8txo+uQSD70Z0yVyPxQMp/Ams7xHrw1bRJ7S10bXnl8yKRQliyFgro/V sDHYjr14qaPxLPFq9xez+GNdht5IIo9/2ZHKlWcklUcsR8w6A1O3jyxVyo0fX2AGQw0mbB9uVqQ+ NLdlLW+i67PtI3BdNkQjJ/29ufw9K5vxBrL3el6jB/YetxTXN/bTxxtp7tlI2h3HK5A/1bcZz09R XRN44sApKaVrsjY4RdJnBY+gJUD8yBU8vikxqGXw/rcq5IYpaj5QOpwWBPfoCeOO2eMufH/h1/Gt 5LLNdxRy6ath81nJvWbzHJXbjOcMK6zwHrGm6l4Zs7XTpJ3FhbQwuZoTGThAAcHrnB6ZFdLRRRXF +H/EGkaTqev6VcXMqXUWoy3LxtAxIR8MCNoPHv6Y6UsWu6Zc+OU1CJrl4xpZjDrayEcygj+HPO3I PcZrfHiPTizD/ShjubKbB+ny02TxLp0e3i8fcwX5LGY49z8vA96cviLTmUNm6GRnBs5gR/47Tf8A hJdO87y8Xn3d277DNt+mdvX2qtb+MdOuJhH9k1aLP8cumTqv5lKuf8JDp3965/8AAOb/AOJqg/jX Tkcr9g1lsd10q4IP/jlW7fxPp1xCJNl9Fn+CWwmRh+BWoZ/F2nQbv9G1STacfu9NnbPGcj5ORTYP GWnTzLF9j1eLd/HLpc6qPqSlWD4m04FRtvfmJGfsM3GO5+TgVQvfF+nSWssH2PWx5sZXfHpdxlcj HB2cGs7wz8QfDf8AwiNhPcag8CxRpbuZ4n4kC8ruC4JwM8Ve8D3MN4fEFzbvvik1iUqxUjP7uMdD yK6miiiuCi8d6J4f8T6t4fnjnF2blrgY2BHLRq20MzD5j2HrxTdL8Ry618Q57m00PUVFjpv2eZJh HG6u8gcAgvjoPXPtTfEOm6zr17qNxBoV0kdxp8VqiyzQo29JjISfmPy4I+vt1rZ8Tza3qGg3FlYe HZ5Jp12AzXEKqvfJ+Y5+lV9In1vTL/Wb288NXfl306TosE8MjD90iFcbh3UnPpVfxXB4i1S8gk0/ QZ2jWyuraQSXcKZMqqFOAxyBtz+NXrHUfEenaXY2SeEppjBbRxu326BRuCgHHPTjrWNHp/iVL6DU T4fmaRNXlvmgN5DhUeAxhQ27rk56etaPiWbxBrfh+/0pfCMh+1wSRBpL2DCMc7WxnscH8Kj8OL4i sNZ1K5vPDUyRXohIMd5C5UxxhORuHXGag12DxLc65fXlj4beWO60xbJfNvIUKnezFiATxhv0rY/t 3xMf+ZLm/wDBjB/jWbZW+vaZd6XMnhkTLb6fJC4S6iBiZnDBVyRxhQD+GOnNbxj4l1208OS3V54Y uLOC3ngledL+ElQsqHAxk89Onese6+Nlnc20lt/YNyhnjdFdp0C9x16da7/weMeC9DHpp8H/AKLW tmiiiivOPjDperajaaNJpGmPqEtrdmVoxD5q8AY3L3B9K5GPTdVht7ZU8OeIvOluYnvmaPdGscbK UEYxuKgDCoW4x34Neof8Jon/AELniH/wXN/jWgPENubcS/YdTBKbvLNhLu6dPu4z+NUU8ZRtnPh/ X1wCedObn2qS18WRXM3ltout24xnfLp7hf0zVr/hILfYW+w6nw2Nv2CXPXGfu9O9Qz+J4YHdV0rW JtqBgY9Pkw3OMDIHPf6VNF4gt5N+bHU49rFfnsJfmx3GF6VWu/FcVrKI10bW7gEZ3w6e5H05xTIP F8c0yxtoWuxBjjfJp77V+uM1bk8RQRzRRiw1RxJnLrYS7UwO/Hf2zVH/AITRP+hd8Q/+C5v8atW3 iSG7t2dtM1a3OSNk1hICffgHivn2HwJ4qt50v7bTNRtp1ZpI1jtZN0bDBUA++SM57c17b8MbbU7X wljV7e6hvZLmSSX7SMFixzkL/CO2OOQT3rr6KKK8M+N0ixeOtJkYFtlmrYAU8+Y+OGBGM+oxWD8M tXgtPH1mZzBZJK8rTy5VUPyvhQeAi89ASCQPbHvx8S6AqknW9OAHJP2pP8antdW02+VGtL+2nEie Yvlyqcr69enIqx58P/PVP++hUVxqFjaRebc3lvDHnG+SVVGfqTUkV1bzxLLFPHJG4yro4IYexpfP hHBlT/voUhuYAyqZ48scKNwyT14pxmiHWRB9WFJ58P8Az1T/AL6FNju7aZS0VxFIASCVcHBBwR+B p3nw/wDPVP8AvoUx76zjljie6hWSXIjQyAF8dcDvXzv4g03U7/xtq13pdtHKVvpyRPErBmUOxHzA g4UHjPORgV3/AMEL3+0NP1m58pIS90rGKMYjTIJwg/hXnp2r1CiiivnTxikeqfETXJrW5ltr1bpY YFZMo4RVSQkjOMYz05Hvwez+C4037VqcNssxvLNRFcz+YfLuMu21lQgYwFwMjjPua9XLKOrAfU0m 9P76/nSkgdTSb1/vD86UMp6MD9DSblH8Q496N6f31/Ol68igso6sB9TSB1JwGBP1pSQBknAqvfXS W1hcT/f8qJn2ryTgE4GK+e9ButVtPCbtf2X27w9auLmSG4RsMWKqFjIwUPL/ADAkdTj19Q+D1y15 4SurqS5e5ml1CQyO5JOQqADcfvfKF59672iiivBfGa6d/wAJ/wCIY7wJbTXTRxx6hNKNtsgji3lY 8FmYg4GPfHc1e+EOt6bpms6zBqerwcskdrcXBCNOMtk5J9FTjPHFetf8JJoP/Qb0/wD8Ck/xo/4S PQsZ/trT/wDwKT/Gol8V+HWuJLca5p/mxgFlNygxnp3qX/hJNB/6Den/APgUn+NVrnxp4XtGCz6/ p6E9P9IU/wAj71PH4m0CZVaPW9PYOAVxcpzn8aLnxNoNnAZ7jWbGONcZY3C/41Ui8d+E5pVij8Q6 eXc4UeeoyatzeJtBt8+brNiuFLc3C9ByT1qj/wAJ/wCEP+hi0/8A7/Cpn8a+F47aO5fX7ARSkhG8 9ecVynxE8ZeF9R8CanaWuq2t7PKiiOGGb5i29cEY9Ov4V5CbzV9K8PvBJqNrdwXbFJtPlkMjxZww baeFyecryCOcV9IeFsHwno+CCPsMOCq7R9wdB2+latFFFFFFFFFFFFFFFFFFFFFFFFQvaW0lyty9 vE06DaspQFlHoD1xUNxpGmXW37Tp1pNtzjzIFbGTk9R61D/wjehf9AXT/wDwFT/Ckk8NaDKVL6LY EowZf9GTgjp2qT+wtH/6BVl/4Dp/hSNoGiuMNpFiw9DbIf6VVbwb4Zedp20HTzI+Mt9nXnGMdvYV Zj8PaLDEkUekWKoihVH2dOAPwps/hvQrmFoZtHsXRhgg26/4VHbeFPD1mSbfRLCMsoU4t16Dp296 mTw/osaBE0ixCjoPs6f4UxvDGgOctoth/rBJ/wAe6feHQ9Kl/sLR/wDoFWX/AIDp/hTX8PaJIMPp FiwwRzbJ3/CmReGdBg/1Wi2Cdelun+HtV21sbOxVls7WG3VjlhFGEBPvip6KKKxbzwb4a1C7ku7v Q7Ga4lOXkeEFmPqTUEvgLwrKhQaLbwgqFJt8wkgdiUIJ6Uf8IF4VZVEui29wyjAe4zK+PdmJJ/Ok /wCEA8If9C7p/wD35FK/gPwxINr6TGV8wS7fMfaGA2ggZwOO349aavw+8IIgX/hHrJsDG549zH6k 8k+5pw8BeFkyYdGgtmIwXti0LY9NyEGlbwJ4Vbdv0GzfcdzFo8lj6nPU8nk+tN/4QDwh/wBC7p// AH5FWYPCOg2wKwaesaHGEWRwi4/urnC/hio5/BHhi6k8250O0nkxjfKm44+pqI+APCg5j0O2gftJ ADE4+jKQR+BqV/Bfh2YMJ9MS4VzkrO7yAc54DEgfhUf/AAgHhH/oXdP/AO/IpW8CeFGVVbw/YlV+ 6piBA+grV07S7DSLQWmnWcNpACW8uFAoyep4q3RRRUMtnazypNLbQySJ913QEr9D2pZLaCZdssMc i+jKCOmP5E1S/wCEb0H/AKAmn/8AgKn+FL/wjuhhCn9jWG0nJH2ZME/l7mpp9K066iSK4sLWaOP7 iSQqwX6AjioP+Eb0H/oCaf8A+Aqf4VZg0+xtY1jtrO3hRSWVY4lUAnuABUQ0TSBcfaRpdkJ92/zf s6bt3rnGc1bEMQOREgPsopsttBPH5c0EciEg7XQEZByOPrThDEOkSf8AfIpdif3F/KmrBCrs6xIG f7zBRk/WnbE/uL+VBRSclQfwpelLRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRX/9l= ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image011.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAA+sAAAEnAQAAAAD5zu8CAAAACXBIWXMAABcSAAAXEgFnn9JSAAAM /UlEQVR4nO3dz6/bSB0AcKcRzYplFa047KFSLbSHHqHaQ3l67Zu3f0GP9LYrceiBA5R3KCu6nVQ9 PA4rcuCwQn3Ux5U4wQmQ0CbVkwhQthbqYQ9U9auCiPi1ycNSba8dDzPjX2M7GY/HnjxWZPTqxvHE n9iescfjrx0NnWnStvyW3/Jbfstv+S2/5bf8llfIz8XzB7uCGUdK+MV7ghkNcX4mzs+WghktJTwK BPOZwvzNGvyfBXldmA8nNfgPxPjwujAfzGrwD8X4wBTmvXn7vFeDN2vwV12hbAvxbW/X4j0xHgzF ebFvWoe3DUOYN2rwO7YgD0T5hW6I87ut865Vgz8UKyfuHhTlERLLGiXBDRWKZSN8WIe3xLIJHplq NzeAWDZfEd9u2vJb/ovFR/WKOaqBjfLRnr+Xjoc6GdZpsjbnw2k6vqT74slGecQc/f4X+I/OjLfI 4OZmeSd7wzgDninppA6Gmy35bNODlLqgu1neyt4gCx50NsszaZYONsfD7I355vkw29ZLa6M83d2G 2T4/AGRYo5OmGd9W2vJtpfqbvglfqvs1TpSb8bSGTZk3zI3yk3QQJ9rq0zfFD9NBnAD+F4J09IVa 3iADPRun58jMifIjpTxdTmZhUUBkps/LUMpTjQ7iRPubTrPxkVqeDNgOPsozFfFQKe+lgzjROsgc 7+4r5e10ECdaB5lqf4oEkxRfatpYZGBk42J9j7J86ZRGJwOQjYtec4j5UItSdw8Pzn0CUOcSfX/w /CJpyxdbMcW9Tqkiil5xiflAW59wi+o49wlOggw/0LRvDNiJX3klfZn2+yX8+c7P6YRfrOJP6vJe Zb54XcV8uno9skk9phCH38ZVXGf4y6TGm3gQHuCZkMm43p3SyvenhCdt0J10E+zM6aiVIh/gf31B /l3ydUH2xntk2Sw8iPgDRMqGTQvIk4QfUi9JOyg3itDRD75zep/l0yazW+K/h3H29OUyWU4Tgxk/ IbzJ8HmvzL/76kLTGD5tMrv9ZJDwXUpmqUOqnIkXFk/B/JuI1HibVvt05ZP0ep5nl+ADnM8Fq/hg Jc989bBDltPEDbuIJ5NHhB8hNM74EeN1ivwA//N1hkfrE5k/YMbpaysi8CE+2mzRHvgk4w301dwc coeBMfmEIcbba3lmVxPxTIPD5HW1hekn6vNQiJ9V8HNJPiLMKt7m8vD+TJYHQrzH5zXFfMDn927K bvscD5lMOT6EPB6Bj9RuewR4PIQTxTzvOiJeNdLbPsdDJlOeN7n8yGlU9IaV/IzHo4a7neqVb3N5 qJp3ufywnZ0uzGVlRwMuP23Gr5ktM41t+JZ5V5bnzlaYD3XFS8/r68AlX3a3I8z31+Wi/Kkjx/Mu 9uem9dblonxwW47PtXbS5JT5t7g8klz6aOUbKO+V632uZV3mp5824a1q/ptcfqya58SuYN74lhwf CvPMh8q89aFCfpn/zCpecuVHhMHnZ1V8AFWWfLOKd0Gj1k5Fc8Oo4u1+o71eRWNLr+IPZjV4v8Rb fB5U8a864ry7W+INPl88Ky6kAGk1ePtBXX6ninffqMH/s3Ue9cR5n221CvFX+Tw5wW5U8iv4a5W8 7AG3JT58Q5QPe7X5n/J5wvWE+YPqQ06htUM6gTUNaJqOhwPyp9O/fvzi3NsDrSPIf/a+VFsv4clf zsbfBk9eQEH+5K4EP0IgiM7zRr+8AQr5CLcAovyeBK9XbfvoPEBk25+X4I32Kt5Ygp/w+ft1jnhr S36aSu38KZ/vCPMkMHHEjNPZJj3uiVe3X2/vtmhrh8dL9+uBX6nl+f16EAh3LcnxFf16I+GONUle 5/JI9dLz+/WgcL33Uf7oJchz+/WgXosf1eenXP64VteSBH/K5ReqeW63IgxgK/3563l+tyLqK+Yr +v9sxTx/p4tc1bzO5em1X5U8r18PBsLn95K7HXSJxy96iite7qp3iR93VG97breiETTiLZT3VnSq XuXwEIaN+HWzZUb43YrSVzNEeU57A/OObKeqMG/w+Bey3YrCPCcfQs+VLz2Xt55K8pSwGvN1ln5U nG31NVxFnSutHPGQq7q50WKX8rx13jZzKz+N2aLxS4HOZCXxeuys9JTvFnkmbIjLj9Gus5p3CV8M mnrBzqqT8FnQVMIzQVNxrFL2ir1nZ4C6eT6NNnfJhQivwC9k+DRIK1wRszW+zePZgLn9Urxewh/g jR03miKeFzDHHv6P8DZezQcl/taPNMCsubAVHh3mSj5/26N7zHhh5bN8Ll4v80o8CZbklPyKeD1U b9uvjtfj1Hu24tEie605z5b8MVo2i15ous9fNutQPzNe+BLy/wEPmEx1+EFct9S187l8Ej/dsKnJ ehss+Wtm+8XhG11APzNeOGqJy0uf462+nHA2/Obb+UJXMav5caPAmea88DVcJfwZr/xmRa+Ct86W v1fFL0CrK3+aH60MH7CHLM97MpKHxLsVk9GqkDHoz/wW+NQorPxKvuu0wa9beq+KH/gq+WI3dIl3 L6jgITPK5VHvbHml274qWhEmDww6M/6HCvl5FW+EjZbeWs1DUX5yKs673RKfJMiOZHxVqChcdFme t8/n8oXZZtMMPh/o4vyKld+UR6EKHqYv+XE7mN9leN629/GS1Of5cTsw6WwRuYzYW1vymUwFProd 8CX69xydvAZPtP7Jl+Fftd5C6y0/75/sf8lnee7Shx2JsCEXaVp/HP/1or+T7K8zZu/D5Va8+Z3a x3u8PiFYopcWebmk/XT2U8tOJpJ8uftwObz/4m77YUPi9+F6i4uwPl8Vt4N8I+P5Jf+czCXkYRWP Mp5f8k/aDxuqwy/bj9tJXikLG+LG7aBjR3zp24/bQQPVPDduR3m0YsWlZtXRihWHJvCpal7n8eLR ijLtfJJ4twOqj1bkx+2Idy/Ihg1x43ZAs9CRhnE7UPw24FNJnhu3I38bMPua15/Pi9uB8uED6+cq HrcDkS4bMibMG7x8tW4DluI5+XCJahQw15CH9aIV2+fbqfeQyaSOH63jAZOp1rZXvtfj87L9+aLP XqhY+b4sD1rgUcM70DfHFw+4bfBQPGar2Nxohc/352+aR7bsTVHt7Hbq3AasoOR3pHnYBu9eyfH5 p4wFbCO5W7jJBaQ8lOfDfIS6gni9LGppRbweerkmYG6ygm8hXi8sxGyFV1bzpYC54vP1Lqd8+oA7 fsBceDkZJIlErOXuw814cnLiXWf4fU27yPBhfZ68Cm8xk440Ld+vFz/z8E2kaef2Rm5/sE+fW2lF Kz/3hNivpTyeY57//Uq+/Hi/Jyh/H26orU9koy2Yz/Ie2QgE88EkKC/mz3fR4+EAT7ixkl+2zJPp /YxnuohHZMDOhimGNNGnQJrz/9DOGTCmJTp4fYyHzg3I5Av+qGl99I8x1nAxO/7dgDwiE31f673N kPX5Oftm4kUdRR6qm0o8qMUnGbd8Qz46YNB+BzrX+ACyqW0fSPCgRR6J89YGeLSaD9BnwLRJUzmc QlxR8T7J8JEVTpvxy5ifVfL/0j/B/NQJH0FHd1wn6PnICB+1ywdr+fnwsY1GMzv4DZzpjue7U8wH v27Ge4K8h0zzeIZ5fxlAEzje0rMxvwza4c2Y99byljnB/NzzAmgR3m+DPxXmjZj3A2hAxw9szAO/ IW8L8nizm5P5omsG/hIad7W3Aofw9rId/hmM+FNrHQ+MiLc9+BA6duDMCO815I2IPwIRbx+u4+Fo YuJVgJc64mdzP8T/N+OnMT+M+dPZat5BEBLeCGYOPELOLJhbmMcnjY14J+atmPfna/iP76LJEzQ6 ujOfwyPT+dsdE/nhrXnTAy7lL5FvABi4xM8eBtcnD+HowY5pwaNDZ3rVAn7ompY8/5TlYXwOEK38 xyX+yO1NfgyRvmMN4DMbTa593PWDpTmQ549Tvk/vjmf44q9AzGc/c/vHz/HBZte6R/jZ+5gPPasB P2H4ZZ4/LnxiTh5ldEyOxgcGguTGth2AD7ie0WDbs7wL4otg313DP8BbhPQKOyMEZ7jEfUj4YNSA N1fxevbNivwfaFsEIOgQHhIeYB5K8gN68vHKeIf+f6U/0DoGnvFYe+1Ckf87+ZqEJwfom6TOGBB9 DsnxkXfZmM930W/3yXfYL50QFS8HviA82fYE66NDuswuJOvPhZK8noznfgbBHqH8L7NEPE7H8W+G EJ6sBZeW05Z49vdISjztCkjKY/I5lxnW58OUD0q8jvKJ8pPCRI8Ztspnk+J0EhWJnzzTtAuE17oT 0lTBBeeIc+GSywfvJOO08LIVKCwWvfH603bpn2iz0jcI77N88ZCT7SKYjryob0j4p1L4fO4U00L5 NGT4dCtNmWG7fHHpKa+3yxcSZF5bhWmkLCTlMeWPW+V56euEfyd6nZbRx8xQLU+Pg0X+LxvjcyfY Ce8zwy2vjm81bfktv+W3/IbTfwF9nBaI2sRwiAAAAABJRU5ErkJggk== ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image012.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIf IiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/wAALCAC7AnwBAREA/8QAHwAAAQUBAQEB AQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1Fh ByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZ WmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXG x8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/9oACAEBAAA/APZqKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKhu7u3sYPPuZ Vii3KhdugLMFH6kVNRRRRRRRRRRRRRRRRRRRRRRRRRRWUviXS3F2yyymKzTfNMLeTywM4OHxhsYO cE9DWoCGAIIIPIIpaKKKKKKKKKKKKKKKKKKKKKKiubiK0tZbmYlYoULuQpOABk8Dk0+ORJY1kjYO jgMrA5BB6GnUUUUUUUUUUUUUUUUUUUUUUUVz/iue/jTTorW3upbaa7AvDaJvkEYBIXHYMwVSewJr Dmsry48IWmjTQuupavei5liZixtk84SszZJICqAvXG4gA813lFFFFFFFFFFFFFFFFFFFFFFFFFY/ iz7f/wAIrqK6Wkj3bwFIxH98Z4JX/aAJI9wK5y6iurPRdXs7SCQDVdtnpkEpcyOTHteV1PKj7zE8 cLkjJ57OwtRY6fbWauXFvEsQYjBO0AZ/SrFFFFFFFFFFFFFFFFFFFFFFUNdmv7fQb6bS4hNfRwO1 vGRnc+OBjvzXG6PHqmjaFrUt0Lm+vLpkt7VSjxi6kKffCOdyks53HgYTIAArstD099J0DT9NkkEj 2lrHCzqMBiqgZH5VfoooooooooooooooooooooooopMDduwM4xmloooooooooooooooooooooooo oopnkxecJvLTzQu0PtG7HXGfSn0UVQvNWhstU07T3R2l1BpFjI6LsQsc/lV+ikY7VJwTgZwOtZOl a8dR1G8064sJ7G6tQsgSUq3mRMSFcFSRyVYY6jFa9FFFFMlk8qJpNjPtGdqDJPsKo6Jq41i0llNt LazQTNBPDJglHXqMjhhyORWjRWdHrlnL4gk0RPMN1Hb/AGhjt+QLu24z689K0aKKKKKaURnVyill ztYjkZ64p1FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFYuqabdXfi bQ72JE+z2LTtMxbBG6PaoA78mtqimsx2MUAYgHAzjJ9KxPDsGpCe9u9V02O0ubhlJZbzz9wAwFHy jao7Dnkk1u0UUUVFcPLHbyPBEJpVUlIy23cfTPaszw/pUumC9dmeOO7uDOlqX3i33AbgD7tlvQFu K2Ka8iRrud1QZAyxxyTgfrXLaX4PudL8Yf2qurXlxa/ZHjKXEisxd5NxHCj5e/XOfauroooooooo oooooooooooooooooooooooooqOaaK3jMk0qRIOrOwAH4mq/9saYP+Ylaf8Af9f8aP7Y0sddStP+ /wCv+NH9saZ/0EbT/v8Ar/jR/a+mf9BG0/7/AK/405NT0+QkJfWzkAsQsqnAHJPWnT39nbFRcXcE JcZUSSBcj2zUf9r6Z/0EbT/v+v8AjSrqumswVdQtSTwAJl5/WpvtVvkDz48ltoG8deOPryPzqQkK CSQAOpNVl1PT3BK31swHUiVTj9atUUVBPeWtqVFzcwwlunmOFz+dOe5t49u+eNN7bF3OBub0HvTx IhOA65zjGe/pTqKbHIkqB43V1PRlORTqKKKKKKKK5i9efxZdvp1lcNDo8DlLy6hcq87g8wxsOijo zD6DnOOmAwMDtS1zut6je6hqH/CPaHcLFclQ97djk2cZ6YHTzG5wO2MntnW0rS7TRtNh0+yjKQQg 4yxYkk5JJPUkkkn1NXKKKKKq6jqVppNjJe3syxQxjkk9T2A9STwB3rL0iz1C/vzreriS3blbOx34 +zocjL7ThnYYz1C9B3Nb1RzTRW0DzzyLFFGpZ3c4CgdSTXO2lvP4ovotVvd0ekwOJLC15UzkYKzS D2Iyg+hPPA6aiiiimybxGxjAL4O0Hpmub8IXuoyve2utPdrqURR5YJ/LMaKwODEyAZQkEckkbcGu mooooooooooooooooooooooooooorjfiVZSalpukWMK27PPqsaKtypaI/u5D8wHJHFJ4c+GegaZp VrFqelafe30WTJP5OQxySOD1wCBz6VoxfD/whCWK+HbA7hg7oQ3fPf6Uj/D3wfI25vDtgD/sxAD8 hTf+Fc+Dv+hdsv8Avij/AIV14O7eHrMf8Apl18OvC0un3Vvb6LZQyzwtGkxhDmMkEAjPTGc8Vh+H PhRp9pcXE+vWOmXW6KOOKK3jYIpUHc53fxNxntW//wAK58Hf9C7Zf98Uf8K68H8f8U/Z8dPlP+Nc 9o3wsht9U3atbabc2KJMqInmb5C8gZC+Tj5VBUY7Guh/4Vz4O/6F2y/74pf+Fe+Ev+gFbfr/AI0f 8K98Jf8AQCtv1/xo/wCFe+Ev+gFbfr/jSH4d+D2+94ftG+qk/wBaP+FdeD/+hftP++T/AI1S1n4a eHrnRryHTNItLa+khYQTfMNjkcHIrF8FeHtbim1u1j1c6I0F8A9pZRxzRKTEjfK0ilujdO1dT/wj 2v8AfxnfEdx9jtv/AIiuam8L32j+KE0vwvr13pv2ixmu/LkCSQeYrouPL24UHec4HXFehWsMkFuk cs7zuBzJJjJ/IAfpU1FFFFIx2qSewzzXlvg3wLDrU0evarb6dcWNxDKEiieR2kYykrIxJxnaCOMd cY7Df1P4ZaHeT20dtp9raWgYtctGHEz4IKqrZwoPO49ccDHWtAfDzwgBgaDagegBH9ayY/A/hc+M Z7Q6ZaeSunxyC3O/O4yOC45xjAA9elXNS+G/h24sJYLHS7S2nkG0TFWJjB6soz94DOO2cVPB8OPC MEKRjRIHKqAXcks+O5OeTWBqfwujl17zNPtNNi0yQwF0kMnmR7Hy4QA4+dTg59K6L/hXvhL/AKAV t+v+Ncz4d8H+HLvxh4ptJ9Nhkhs5rdYIW3YiDRZOOe5z+VSeLPhnDP5LeHNJ09MwzRSpLM8eGYLs kBGeVIPH+1W7afDvwwlnAlxots8yxqJG+Y5bHJ6+tS/8K98Jf9AK2/X/ABqjbfDHw8up3N3d6dbS xPhLe2UMI4lH8RyeXOeT6AAd80fFngnw1Z2enm20mGEzanawuULAlGkAYZz3BxW5/wAK98Jf9AK2 /X/GqUnwy8OTavHcPptulnDGQtsgYea56l+eQABgepJParv/AAr3wiBgaFagfQ/41yHirwXDompx anpmmWkdibmxUOs7rJbuJ8MVXo28OoOTwF6V6nRRRTJU82J4yzLvUjcpwRnuD2NUtK0eHSUk2T3N zNLjzJ7qUySPjoCegAyeABSLq6prTaXdQm3kcbrWRjlblQMsAezDnK9ccjPOOK8e6Je+JfFUOl2i W8jHS3ZTcyOqwEyqDIoXqwFdF/wr3wl/0Arb/wAe/wAafH4C8LQxtGmkRBGYOV3vgkZwevbJx6U1 vh/4TZizaHbkk5JO7n9aT/hXvhL/AKAVt+v+NH/CvfCX/QCtv1/xrN8Q/DfRZ9Enj0bR7SK+yhiZ nZBw6lgSM4yoI6d6j0D4baSlpNJrejWn2iW5eVIopXdYYzwqbuMgcnp3rW/4V74S/wCgFbfr/jUd z8OvC0lrKkOjW0crIQj/ADfKccHrWB4T+GaQGdvE2l6bJiGGKFYJJHyVDb5Gzj5myM/7tdKngHwq iyIujxBJcb0DNtbGccZx3pi/DzwmqgHRonx0Mjuxx6ZJ6DoB2FL/AMK98Jf9AK2/X/Gj/hXvhL/o BW36/wCNH/CvfCX/AEArb9f8aP8AhXvhL/oBW36/41keI/hvpkttaSaHo1l50F0kssMkrxrPGAQU LDOOSD07UeGbO7sPA1oX8RjT49OeYXTLGkijbI2ULODwMYyME4rVh1ywvtE2WvigPLPMkCXkcSFk djhRs24GSCBkd6xEsfEei66+iaFrhnAthdmC/iDRqpk27I2B3LgBuDkdBXdWkVxDCVubn7Q+c7/L CcemBU9FFFFc54u/4+fDn/YZi/8ARctdHRRRRRRRRRRRRRRRRXOeG/8AkYvFP/YQj/8ASeKujrnL j/kpVj/2CLj/ANGw10dFFFFFNcZRhnGR1FYngmBLbwdpsKElUiI3GPYW+Y5JHqepPfOe9btFY0el XK+M59XZ4zbPp8dsi/xbhIzH8ORWzRRRWFoekXVh4g8QX06oItQuIpISrkkhYlU5HQcg/X8q3aKK KyfEGlTatb2UcEiIbe/t7lt+eVjcMQMd8Ditaiiuc8d/8i2v/X/Z/wDpRHXR0UUUUVU1LTbbVrNr W6UlSQyOh2vGw6Mp7MD0Nclp1xe2/wATY7LWJIjOuktHb3AIX7YPNByF7MADkDPqMCu4oooooooo oooooooormrDSI7/AMHXNg2ZFuprhiJGwMmZjjODgZ9j+NM1CfTL2a1PiGym0y5triKWKdj+6Lq2 5R5o+UjI6Njr0BxUkYLfEqSVQTH/AGMg3gcf65u9dJRRRRRXOeLv+Pnw5/2GYv8A0XLXR0UUUUUU UUUUUUUUUVznhv8A5GLxT/2EI/8A0nirfmuILdQ080cSk4BdgoJ/GuelkST4lWexw23SrhWwc4Pm w8fWulooooopsh2xseOATzWL4KZZPBmlSqqKJbZZMICFBbk4z25rcorGtLpm8YalaskwCWlu6sWJ jOWkzjsp6cd8ZrZooorC8P3dxcaz4iimmeRLe/VIlY5CL5ETYHtkk/jW7RRRWB4vuJre00xoJXiZ tWtEYo2Mq0oBB9iCRW/RRXOeO/8AkW1/6/7P/wBKI66Oiiiorq5hs7Sa6uHEcMCNJI5/hUDJP5Cq eiar/bWnpfpEIoZhujUuGfHbcB90kYOOozg1o1x2saVa6x8QI7W6DAf2OzRyIdrxOJlwyN/Cw9RX U2MVzBYwxXlyLq4RQJJhH5fmH125OKsUUUUUUUUUUUUUUUViaRe2tj4a+2XVxHFbxySs8rN8qjzW 5J9KxbrXovE15HbW817b6Qtx5TX1oyMlw/3QhxkqpYjBI2sK1dFtJ9P8QX1tLL50f2eFomVAgRNz gJgd+CeABz2roKKKKKK5zxd/x8+HP+wzF/6Llro6KKKKKKKKKKKKKKKK5TS7trHVPFt0trPdGO/i Pk26hnb/AEeEcDjPrWbZeILTX9Wh/trT7ZJo5ZbeOyuY3S4jR3CKxRvlcMAM46ds4NaMNjb6d8RL OC2DKjaXcyYZi3Jlh9e3AAHbFdZRRRRRTJv9RJ/un+VYXgP/AJELQ/8Arxi/9BFdBRWXZ6S1r4j1 PVDMrLfRQIEAwUMe8HPrncPyrUooorK0nSpdP1HWLmSRGXULpZ0C5yoESJg++UNatFFFZevaU+rw 2cSTLF9nvoLklhncI3DYHucYrUoornPHf/Itr/1/2f8A6UR10dFFFVdUsV1TSbzT2kMa3cDwl1GS oZSMj86yvDegzaRLcT3AtkeWKGIra7treWpG8g/xHP5AcmtG01ezvL+6sY3K3No2JIpF2tggEMAe qnPUcda5vV7jU7f4i276XYQ3sp0hwyS3HkhV85ec7Wzz2xWjb6p4qa+t4rjwzax28j4lnj1MP5S9 ztMYJ9gP0qfV9Q8Q2l2qaXoEGoQMBmRr8QlTznKlDx079+lQ2Op+KbiaD7X4atbWFyPMb+0t7xg9 flEeCR6Z/Gpb+/8AEkN7JHY6DaXVuMbJZNR8tm45yvlnHOe9Lp+oeIpr5ItR0C3tbdgd00V+JSpx xlSi9faq1/rHiqC+kisvCcV1bhiEnbUkjLAdypU4z+P4VPo2qeILy+lg1bw4unQouUuFvkmEh9AA AR9TTLjUfFSXMqW/hyylhVyI5G1PaWXPBI8s4+mauaTd61cySDVdJt7FFA2NFeeduPcEbFxVBtT8 XBiF8M2JGeD/AGrjP/kKr2nXmtzwznUNIgtJEXMKx3nmiQ+hOwbe3Y9aof2p4w/6Fix/8G3/ANqq /bXetyabPNc6TbQ3i58m3S8Lq/Hd9g2/kaof2p4w/wChYsf/AAbf/aq0Dd6z/Y32gaVb/wBo5/49 Ptfyfex/rNnpz932rP8A7U8Yf9CxY/8Ag2/+1VpXlzq8WmxS2mm29xeMR5kDXXlonHOH2HODgdBW H4Se/i8I232jTrCztkVy0TzsBEN5ypBXAAGe/akGn6Tevb61b2OhNci4CpcW96VR242gsq/O2f4S D0FVF1DxhpOvSfbNJtNVE0cSNNYylPs6b32l0ILN1PKjoDXaWxuGhBukjSXusTll/MgfyqWiiiiu c8Xf8fPhz/sMxf8AouWujoooooooooooooooorG0iaGbXddEQ5iniSTjHzeUp/Hgjmtism5dP+Eu sI/3fmfYrhuvz43RDp6Vr0UUUUUnWud8A/8AIn2w7Ca4A9gJ5AB9MV0dFc5Gzf8ACy513Hb/AGPE cZ4z5z10dFFFcn4Zuribxx4vglnkkigmthEjMSseYsnA7ZrrKKKK53xmxWz0oqSD/bFmMg4/5arX RUUVznjv/kW1/wCv+z/9KI66OiiiiisvWdFXU1jngl+yahAQ1veKmWj9VI/iU8gqeOfXBrm9D1ab VPiJsvLRrS/tNJeK6hIO0N5ykMrfxKw5B/Pmu4oooooooooooooooorjtK0xtX8Danp0sfmi5vLx AjSFMqbh8fNg449qkRtInmW2uNPbQbuOaJyssSKkuxww2sPkbkYz94Z7ZxV1Cn/CxpR5km/+yEIT +Ajzn5+v/wBeugooooornPF3/Hz4c/7DMX/ouWujoooooooooooooooornfDrA+IfE+FAxfxjjv/ AKPFzXRVztwV/wCFj2I2/N/ZNwd2e3mw8YroqKKKKKQ8DNc54AOfB1q2CA01wRkEcGeQjrXSUVlr pRHiqXWfPGGsUthFjkYdm3Z/HH4VqUUUViaPoEmmeIdd1V51carLEyRhceWETbye+TmtuiiiszXN JbV4bONZhF9nvYLkkjORG4bH44xWnRRXOeO/+RbX/r/s/wD0ojro6KKKKKK4vXbC7v8A4gwiwvWs 7yHSGkhkGShYTL8rr/Eh7j8RzXVabdT3lkstzZyWc+SskLkHaw4OCOo9D3HpVqiiiiiiiiiiiiii isDwzazW3h6YWzJ50t3cyoZMlQWmc84x0z0/WsvVNF1G1k+0XXijUbp7o+WLNbOKWF+5HlFegAJP OcA85qXQooz4ycw+UiWekRWrxqCvzby3yqeduD35HSuuooooorj/AIi3ElpZaNcRTLC8erRlZGga YL+7k52L8zfQVo+CtW1LW/DcN9q0AhumkkUqIWiGAxCna3IyADW/RRRUF9LNBYXEttGJZ44maNDn DMAcDjnk1yXgbxLreu3UseqImxbSKUlLGW38qViwaMlyd2AByOOa7SiuE8JeNdT1zxbd6VdLa+VE kzNHFDIklsyShFV2b5W3Kd3HpXd0UUUUVmeJL+50rw3qOoWcayXFtbvJGrKWBYDIyBya4b4feJdW v11q/wD7L/tSS4v13zWLrHFxEijAlYNwFGfrXU/8JHrJ4/4QzVB7+fbf/HK5WXX/ABJoPie3uvEO lNe+VY3AT+ziGYx+ZGfMdM/LgDBIJ616PaTSXFskssJhZhnYWDY9ORxU1FFFFIzBVLHoBmvNvhl4 ubULwaFFLbXNssM90siCQSxZlBCPuGCf3h+6SOK9KornIyf+FmTjJx/Y0Rxnj/XPXR0V5/4n8c6n pPji10S2exSGR7ZTHNFI0swkk2sUI+UbRz83616BXJ+F5JG8aeL1a4Z1S5twsJJ/d/uRkjtz7f3f pTPHXjG68KvaLbx2RE8M8pa7kZQTGFwi7Qcs244z6V1FjcNd2Fvcsuxpolcr6EgHFT0VzvjN2Sz0 sozLnWLMHacZHmrxXRUUV5t8QPEN4PEFvoAnsYbXzrGUxyBzPOzXGf3eOAF2AnPrXpNFFFFFFede OPEknhXxpb6jGLZz/ZbIYp3ZWlHnL8se0H5vrxjNeiDpS0UUVjeLNZn8P+HLnVLaGKV4Sg2zMVUB nCkkgE8Zz+FReEPEMniTSZbuVLcPDcvAXtnLxS7cYZSQDg5reqC9na1sbi4VdzRRM4X1IGcVy3gP xpdeLWvlubW3jFskLrLbOzI3mKWKcgfMvQ+9dhRRRRRXNeOdfvvD2kW1xYtaRPPdpA894rmKFSGO 5tvOMgDPvSeEri+1HwFZ3MEkEV7cRvIHaMtGHLsfu5Bx+NZ1jB4ntNcea6t3upZ7lPMltr8SW8MZ IypikwUwpOCvJPXjruxGBfG1ym5hM2nRNtDfKR5kgJI9enNbVFFFFFc54u/4+vDn/YZj/wDRctdH RRRRRRRRSYFLRRRRRRXOeG+PEPinH/QQj/8ASeKujrnLj/kpVj/2CLj/ANGw10dFFFFFNkOI2OAe Dwe9YXgcf8UXpbmKGHfAGEcI+VASSAPXAI57nmt+iqSWdsNcmvgyG5a2jiK4G5UDOR+BJP8A3zV2 ikwM5wKWsrSdMFjqmsXK3SzC+uVlMYAzERGikE++0GtQgHqAaWiis3WtNg1OG0Se48hYLyG4UjHz MjBlXn1IFaVFFc547A/4RxTjn7fZ/wDpTHXR0UUUUUVzbgH4nRZGf+JM/wD6OWukoooopOvWgADo MUtFIAB0GKWiiiiikIz1rL0BWbQgqPsYyTAMBnafMbmoNL0zUrbVr6afUJXieZWAMMYEo8tRnIGR gjH4VOl3CPFs9l5EnnGwjlM2flKiRxt9jkk+/wCFatFFFFFYXie1a4k0WRWAFvqkUjA9xtdcD8WH 5Vu0UUUUUUUUUUUUUUUVzmg/ufFvia2PLNNb3OR0w8QQD65iJ/EV0dYdxaMPHVhe7hsOnXEO3vnz Imz+lblFFFFFNkXfGyjuCKwPATA+CNLjxzbxG3J9TGxjJHsSpP410NFc5Yk2/wAQ9XhYlvtVhbTo R0UK0iEH8Tmujooorl/DNwh8V+LLQDLR3kMpYdPmgQAfUbD+YrqKKKK5rxtu+yaRgKR/bNnnPb96 On410tFFcz8QpfI8KNNsZ/LvLRtqjJOLiM4FdNRRRTJfMET+UFMm07A5wCe2fasvRb6+uLq9tL2S 2mez8tHlt42RfMK7mXBJ5AKn/gVa9c23/JTov+wK/wD6OWukoooooooooooooooorA8O6gD4cmnj t5pTbXNyhjjALuUmcHaMjrjiucutet9euFsPEGlwiIXR8uxu4pYZ9uQFdTyshwxyqn6c8V0em6Xb aN4je3sV8m2nsw3kryNyucsSec4cD8D7Vv0UUUUVjeIpJU/spY4wyvqMKyEk/KvJz+YA/Gtmiiii iiiiiiiiiiiiue02PyfGXiC6keNY3jtEGXGcgP1Hb7wx61De+Jxfag2laLqNta30U3ls19aSNFKQ OVRgVBYH3PQ8Vatk1GPV9OXVJ7ea58i4y9vE0aY3RY4LE/rW7RRRRRRXOeAP+RQt/wDrvc/+j5K6 OisxINO/4SmW4E2dSNkiNFu6Q72IOP8AeyM+1adFFFY2laTY2PiDWr63uzLc37wtcQlgfK2ptXgc jI55rZooorL1630+4t7QajcNAkd9BJEVON0ocFF6HOWwK1KKK5b4jwm48HSwKATJdWqAFivWeMdR yPqK6miiiiqOlaZHpdtLGrB3mnknlk243u7Fif1A+gFVX102Wv8A9m6lALeK5I+w3W75JjgZjJPS TOcDuBxzkVl319bWHxJhluphEjaO6gkHk+cta58TaKGCnUIwx5Awcn9KsX+r6fpixtfXcdusmdhc 4zgZP6VWh8UaLPMIor5XYnaMI2CeOM4x3/n6Gp77WtP02dIbu4MbuNyjy2IxnHUDFMtvEGlXciRw XYZ3O1VKMCT+IqDVPFmjaNeLaX1zKkzDcFS2lkz+KqRnjpTbHxj4d1G/Gn2mrQSXZ6Qcq+cZxgjO cdfTvRf+L9E028e0uridZo/vBLOaQD8VQj9afpnirR9Xu/stlPM0u0tiS0ljGB7uoFVbnx74as7u e1uNRZJbd/Ll/wBGlKo3oWC4H51o6Zr+l6yzJYXYmZRuK7GUgZxnBA49D3rPk8d+HIppIjeTM8Ts jiOzmfawOCCVQ85FXtJ8Q6brZlFhLK/kgF/MtpIsZzj76jPQ9KoN488OoxU3N1kHBxYXBH57K0dO 17TtVtJrq0lkMMBIkaSCSLGBno6gnj0qvJ4t0OKEyteEqCRhYZGbj2C57VYj17TpdHbVklkNomdz eRJuHOPubd36Vx/hfxdodtoVxBPd3UbTXt46tFZzMVVp5CDkIcHBzg8juKurqV/PZfaE8Tw/2aHC CeXSn+07h8wGDhScd9lV9K8b6NLrkAvJJ9OeO1eDF/kea/mL9xz9/OM8eortbS9tr+EzWsolQHbu APWp6KKKK53xaxW48PAY+bWIgcjP/LOQ/wBK6KiiiiiiiiiiiiiiiisOCzs77V9dtbqGKdJhCssb jIZdnGR+dRL4K0qG4ie1ku7aBJVla0juGMDspBB2HIGCAflx0q/c/wDIx6f/ANe9x/OKtKiiiiii uc8Af8ihb/8AXe5/9HyV0dFc3H/yU2f/ALA0f/o566SiiiuN8Kf8j/40/wCu9r/6JrsqKKK5zxr/ AMeWlf8AYYsv/Ry10dFFc547/wCRbX/r/s//AEojro6KKKKKq6jp1rq1jJZXsQkhkHIzggjkEEcg g8gjkGuN0o3ulfEiHT9YvIpv+JW0NjcM2JLhfMU4cf3wAckfe6+orvKSlooopuxd27aM+uOadRSY HPA560UYA6UtFFFFcpoN5LZeD9Qu7CzmvZ4by9ZbcEbpH898ge2fxq4uo67YRRrqltaSvLNFGs1m H2Dc4UhlOSuAcg5Iz1x3S9Fjqfi3+yLyySdF07zyZOVOZRgY9QUzn6V0FFFFFFc54u/4+fDn/YZi /wDRctdHRRRRRRRRRRRRRRRRXO+HWd/EfigtI7Bb6JFUtkKPs8Z4HbkmuirDuIo/+E5sJvNbzP7O uE8vtt8yI7vrnityiiiiiisDwP5X/CKW3kq6r5s+Q/Xd5z7j9M5x7YrforMUaX/wlMhBP9q/YlDD 5seRvbHt97d71p0UUViaPFoq+Idck0+UtqDyxf2ghJ+RgnyYB7FfStuiiiszXBphgtP7VJCfbYDB jd/rt48vp/tY68etadFFc547/wCRbX/r/s//AEojro6KKKKKK5HVdNtNX8ffYL6ISwTaI4Zc4I/f Lgg9iDyCOldJpsF1a2SQXl39rkQkCYptZ17bgON2OpGAfQVaooooooooooooooorm/CtjFP4bura 5iLxT315uRxjcrTv+nvUtzBc6DGktvrUQttwXyNUl+XHosv3gceu6qWmXaal4/a8hMbx/wBjqjtD IJEV/ObK7hxmusooooorlfHVytkug3LRTSiLV42McEZd2/dycKo5Jrb0XWrLX9Mj1HT3doJCyjeh RgVJBBB6YINX6KKKiubiK0tZbmd9kUKGR2x91QMk/lWToHi3S/EjyR2P2lXSJJts8DR7o3ztdcjk HB5FbdFYGk+M9G1rWZdJsnnaeIOxZoGVGCMFbaxGDgnFb9FFFFFVtQv7bS9PuL+8fy7e2jMkjYJw oGTwK5Xwn4o0XUdQ129jnitElvEAW5fyncrCgLFWOR6f8BrpP7c0j/oK2X/gQn+NctaeLNA1bx5b yWt5EGt7C5imeWTYUIli+XB9cZBHXFdpDPDcxCWCVJY26OjBgfxFSUUUUUVyfgfxJpV9Zx6PDcIL +3ErSQBHGFEpUtkjB5I6HqTXWUVzcf8AyU2f/sDR/wDo566Sisa98WaJp2sppF3eGO8fy9qeU5GX JVRuAwCSO5rZrj/Cm3/hPPGeN277Ra59MeTx/X9K29a8TaP4d8oareC3MwZkHlu+QuNx+UHAGRyf WtKKVJ4UmibdHIoZWHcHkGn0VznjX/jy0r/sMWX/AKOWujoorjfHuuacltFopuD9ve7s5BEI2Py/ aE5LAYH3T1PauyoooooorjNa1zTtA+IcF1qlx9ngbSHQPsZhnzlPO0HH1PFdlS0UUVT1XVrDRLFr 7Urlbe3UhS7AnknAAA5J+lJpWsafrlkLzTblbiDcULAEEMOoIIBB+tXaiurmCytZbq5lWKCFC8kj HAVQMkms/RfEuj+IhN/ZN8tyYNvmKFZSu4ZU4YA4I6GtWiiiiis/WNd03QLWO51S6FvFLIIkOxmL OQSFAUE54NZfhqeWTwl9p02SC4eeSea281iiMGlYrkgZAwfQms6GTxOmoY1OC4kL3K58kRzWZhZl BXoHVlGecdsnrgaei3mmXuv3U+lTRyW7WkRYwY8vf5kmdwHR/rz1roQQehzS0UUUVkeKNJt9Y0G4 guHmj8oedHJA+x0dRkFW7en0JrndL+Gujrptm0OoazApiV3ji1B1V2PzEkD1z2xWpJ4C0Z42VZ9V jJGA66rcZX3GXIqnf+D/AA9o9lLqV9qOsJa20RaXdqc5B9+GzntgflSL8OdNmQSrrfiJVcbgp1Fx gHtg8/nUsPw9tbd1eLxD4iQqSR/xMWOM8HqKkn8A2V5G0d9rOuXaFSuyXUGAwRg8LjP45rmvDHw6 0a5jvpIL7WLT7NezWaCG+K/JG5A6D1yce9bN14Q07RIFuJfE3iOFHdIARfs3LuFUdD/Ew596vp4K EaBE8TeIQo6Zvs/zWub0XwNaReMdZt4NX1iD7HFCY5I7vDfvdzOCcd2UGtofDexG7Gv+IvmGD/xM n5qaLwFDAwaLxH4hUquwH+0CcLnOOR61N/whp/6GfxD/AOBo/wDiaq6d4et9VsIr6z8VeInglBKM 13tJwSOhXPUVYPgvLBv+Em8Q5AIH+nf/AGNO/wCENP8A0M/iH/wNH/xNRXPgSG8tpLa68Q69NBKp SSN70EMp6g/LWR8PvBmhDQ5r25skv5rm6nDteosxGyV0BBYZGQBn1Irqv+EU8Of9C/pf/gHH/hUe s+EPD+v2n2bUNKt5FChUdUCOgHTaw5HXp0rSsbG202yis7OFIYIlwqIoA+vHc9asUUUUUnWuC0z4 fWEXiDUZrXVtXtTb7YYRBchfLjbEjIOPu7mzithfB4bO3xT4gODg4vhwf++aT/hEV3Bf+Eq1/cxI A+3DJx1/hrGTwnIfHc0H9va7tGmRv5/2sb8mVxtJ29OM4+ta/wDwhsjxOsfi7xB5gJG/7Yp2n6bc U5fBcg27vFfiFsDn/TFG4+v3arT/AA40+7aV5tb1yVp/L8xje8v5ZymTt/hOSPQ1abweF+94p8QD 63w/+JrF0rwmkninW0j1/Wl2pbMZo7wbpco2Nx284xwanvvhrJfTF7jxfrbgxyQqHkQkRvjcudvI IUZ+laNv4IMFvHCPE/iAiNAvF4AOBjpt4p//AAhxJI/4SjxBkf8AT6P/AImkbweEUs3ijxAqjkk3 wAH/AI7WTrvgec26yv4s12SNLq3Mcbzq2xvNQbs7eoySPfFaK+CrlJ2eTxj4gaH+GP7Sox/wLbzU x8HbRk+KPEAHqb4f/E03/hD/ADFcR+K/EG4ZUkXqnaf++a5vXvA6J4h0eJvEGtSnUbwLM0lyCdsM byoOgzhhwTnGTXpdFFFFFFc94k8GWPiaVpZ7y+tZGtmtmNtKFDxk5wwIORnFU38D3xH7vxp4gQ8d Z0Pbn+H15qP/AIQbVP8Aoede/wC/if8AxNWYfBcyRgTeLPEEr92F2q/oFofwVKzqU8WeIUUdV+1q c/8AjtVj4G1PPHjnXsf9dE/+JqC8+HN1fweRd+Mtbmi3K+12QjKkEH7vUECn2Xw7nspJDH4w1wJN KZpVSVF3uepJ29TWj/whp/6GfxD/AOBo/wDiar3PgRrpfKk8U681s6sk0L3KsJFIxg5XgVVh+G32 SSWaz8Va5bzShUaRZkJZEGEU/LztBOD15qX/AIQbVP8Aoede/wC/if8AxNWIPBU6R4n8W+IJnz94 XSr+gWpf+ENP/Qz+If8AwNH/AMTUUngqds+X4t8Qx9P+XpT9eq96r/8ACDap/wBDzr3/AH8T/wCJ qZvBF2ZUZfGPiARjG5DcId347eKW48BQXXl/aPEGvS+VIJY914DscdGHy8GtHTvCeiadYx2q2ENw EyTLcRq8jEkkknHvVwaNpQhMI0208ssGKeQuCRxnGOvJrH1bwB4d1UrKtiljcocpcWaiNgfcY2t/ wIGt61s7eyh8m2gjhTOSI0Cgn1wO9T0UUUVV1P8A5Bd3/wBcH/8AQTTNGmim0e0aKRJAIVUlGBAI ABHHcGrtYfimC/vLewsrKJmjnvohdOFBCQqd7Zz6lQPxq7ourQ65pUWowRvHHKWAWTG4bWKnp7ir 9Fct4KurctrNmJkNwuq3cjRZ+YKZWAOPTIP5VY8R215earpCQ2jzwW0kt24yFRpEQiJGbquWbOcE fLWjoOq/23oltqRtntjOpJic5KkEg89xxwe4xWRpM8KfELxDC8qLLJBaFELAMwCyZwO+K6eiszxH LqEPh2/fSoWmvvIYQKhGd5GARn06474qvoF2IpZNA+zuh0u3gUSNKG8xSuAeuc/Kev59cbdFFc14 BdG8MBA6lku7rcoPK5uJMZ9K6WiiiiiiiismzlSHU9allcJGkkbMx6ACJcmsfwzqNlpfh17m8niF 7dwvq9wiNnKyEkEHuANqj6CsrW49LhsNNtdUv7Kz16e4W9+0TyhHtsyKz7e+MDywOM/gav3jqPi/ b+ZIVhTQ2mYbsKSspwT64DE/rU3hW9jk0SV9OkiOqap5upJFckruV32qWK54ChF49BTLbWPEGkad rep69HYLbWYlkXypZGYuAuFG4AbT/Oq089npHgKXSoLj7LqelWCXezLH96DuyGP3wZAVPXrir89z Z6jc3F/rKpFp2m2wilWZsRmZwDICO+AVXnuzDFR/D6CO3ttSSF4jC115kcUMqyJbqygiIMvB257f yrDsNWs5X0G51qSWOWMTardu5fCuW8pBt5IUZPoFCDPeusuf7Zk161ktpbJoDBMY2KORtLR4yQcE 46fjWPomoWGoLr10JALjUpZpYQCfmjgAiDA44IZc4z/ED3qJLuz1qwsNS8TiP7JZ2EXmJcHy4pbq ZAWUhjhiowMHoXPccaOm2rWXgSwt2u47orcQkSRy+YoBuFIUN/EFBC5/2as+Kt95caRpEef9KvVm mYdVih/eH82CL0/ix3pt3qlr4hk0/T7FxLBdO01zuDRssUTAEYOCCZNqkEdN1QeG4NLfxNqd/pFx aLbSQxxmK2uFcTOCS0zBTweduTydpz2qx4i/5Gjwr/1+zf8ApPJXR0UUUUUUUUUUUUUUUUUUUUUU UUUUUUUUUUVh+MdRu9L8LXs9hZy3d20ZjhjjQt8zcbj6Ack59Kx/DnhfXdK0SxtLHxLBFZpGpWMa YuSDyfm39Tk84rfbTtVK/Jr0gORybaM8d+1VZdJ8SlyYvFCIm7IDacjHb6Z3Dnrz+lUtL8LeIdGt IrKz8UxfZYmZlSTTVY4LFiCd47k1ck0rxSyIE8UW6FQQxGlg7jk8/wCs444/CnXdh4j8qWRPEUMW 0bgI9N3YAHPBck5wfzri/h9o3iC8tNT1qDXBp9zf30n2qGbTgzB1YjoWG08nI7V0994b8U6hYzWc vjFUjmUozQ6aqOAeuDv4p+m+H/E+nQwQf8JalzFDxifTgzMPQtvzWL4a0/VdS8Zaxr73drFPEq2M fmWRzLGMHzQN4KhiDgd8VvnSPFhJI8WW4Hp/ZS8f+P06HSvFSSBpPFFvKuD8p0sDt7P+NXBa68I0 U6tZllxuf7C3z468eZxmq9pomo2d3PdpqNtJcXGA8stqzNtBJCD9590FmwPekmsfFdwiBdcsLQjO 4w6eX3c8fek9P1qIaR4sBBPiy3I9P7KX/wCLp96Ne022ub+bWIZoYl3+RFphZiBn5VAkySePyrO+ GGnJa+Ff7QeMJeancS3N0ACNrlyNnPI24xj1zXY0UUUUUUUVwh8Sy2fjvWLdrW6u9KWNFk+yWMlw TPtXKllBAwvb/aptzfaPda2moSaXrvlJax262y6POFGyQSKfu9MgDHTitGfxHod1Os9x4b1WaVcB ZJNElZhjpglK5m+11L74o2Wp2+m6sILGzC3BGmymVCTJtXbtyAwbrj+Hg1uQ6vaDxONZSx1WKCOw Notv/ZE6tnfvyPlxjjGPU1t3niXTo4WD2WpXKlgpSPTZnzxnONvT+tYh1ywuL+e4vtJ1a4V2Qxga HcKyBG3KpbnIDc4wOTWjp+oaKdNa0ey1BopXaSRLzTpiXZnLEsCnXPP5Vk6PrccXjPUbaxi8nRYU Td5NhJkz7QNnC/LgckYzyKt6klmdPng0gNDJcylpjc2FxIpjY5kQYAIDHnGcfMeOa0JfF1hauYE0 zWHWPABh0qcpjHb5ayZ7jTtQure6lt9Tt7aNniW1g0qeJmSTG8S/Lym4Z4x/jqWzaBb2DWLW1xcQ NK8xWewlcbmYseCnbOB6Cszxb4hsdM8MfZ9JhaK6eeKOxgNlKiNL5gYDG0ehOB6GtS512O30oSKt xcX8UQVZBpc7ZcgAnaFBwTyQD0rG0TUtH0Np3h0zxFI87E/PpU5WJSzNsQbOFBY8Vp6brmhQTE2m g39i0hCs40aWPI56kJ0/xrH8Q6u+u674atdHkuLG+W+kf/TLN42EQiYOwV154OAfUiu/oooooooo ooooooooooooooooooooooooopGVXUqwDKRggjIIoVVRQqqFVRgADAApaKKKKjighgDCGJIw7l2C KBuY8knHUn1qSioY7S3iuZrmOFFmn2+bIB8z7RgZPtk/nU1FFFFFFRW1tBZwCC3iWKNSSFUYGScn 9STUtFFFFFFFFZGhaBDoL3y2xPl3dx553MWZnIG5mJ6kkVr0VlaboUGmazqWoQEk6jseXexZt67u 56LggAdsGtWiiisjQ9Bj0OXUDDIzpeXBuCXOWLkfMSfr+gFa9FFFZOt6DBrMljPIT5thcJPCCx2B gyksQOp2ggem41rUUVkTaEj+KLfXVkbzY4GgZWPAQ5PyjtknJ+grXooooooooooooooooooooooo oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo ooooooooooor/9k= ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image013.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAABCkAAAIRAQAAAABPdNowAAAACXBIWXMAABcSAAAXEgFnn9JSAAAg AElEQVR4nOy9UYwjx3nv2xSVbS8ymnauHo4WGk/L10D0lqy8QDwLjboU5OL45SCL+3YucG68wQKZ t6OZDBDNZHu6e8JAtBBZlKCH7MLj6QPk4b5KMXAhA3uHzUsfU4LXU8fwQyRks2yawnYC6Ird28Gy 2ixW3e+rbpI9O73rUWIjuReiIGlm2Gz+WFXfv77vq6+Kmvx38dD+rQHyxxcY5ccXGOXHFxjlxxcY 5ccXGOXHFxjlxxcY5ccXGOXHFxjlxxcY5ccXGOXHFxjlxxcY5ccXGOXHvwSD/8opyhijs74mHJ/9 /me8tIRx5pt307NjnPHSfwlG+9eKcfabT86OkX1ejPqZMc5+pRx+Xgxx7aw3F5eTM2Pc/NwYwzNj 7J4d46zEcwwenR3j7J3ywufFmEbDXz2G0D8vRjaKznrvyVmBpdj4vAab0TNjpGe9UortMxKXMOhZ 771xZtkX22cknmOws2O8ctYrgfiMly6GqPTPevP2ma+UxufFkJKc+eZnv/Ksn62E4Z753me/UrY/ N8aZH+Jf8Jpf8vjVOIHtf+0NfjUY5HO/YvDrwDA/9ys6/z4w+r8ODPK5X9H+94HR/HVgtD/3Kx6a 8n41GP7nfsVDfsi/FQb794HxUAD6Bca/B4z/69eB0f7cr2j8OjA+/6N38tf/D2d7fg2P/19gNH/5 JQ8/+r8GjK8V//8c6Z9q8n8dRvLQ/8/wqP8aMGZJFPbYq048qhvuV4PB3X9TjFkuTpAzvyTPNz4c Yf/rMOYfzTzzS3KAh0T0X4kxT6W2zvyS3Pt72F7+dRjztn340z36kTeg/ivF6M9+OHMaKh/V4vlf D8bZhUNh8I1fKUZt9sPZhUMZF3s4P/8rwji7cLyK/0ke7sRf0Qx7duEw8D9FRnqhHr+qid4864Vt /E8vb42Fff0SjDOvZ51dOPDh562xUI9fghGSM964d/aEGAxnM8f4P86IITTjjPcexme9UnpEkBxj YbaPx2ArZ/WvEq/akXjoMVYfjbufDyPgg8c+v3iwc398lsvANuIlneWSLs5oKaLOY/dsGPzra2e5 Ehq3E+4nOQZfNOBjMRjhZxUEseac5UpfiqfYTpSLP5+r3+MxOmCwZxx5Yt15eNasehDJ1pmt5xji bLrBdcDonhFj1T7DMBKu9ITNC4wzqmjoAkb8uNuSxRv84d4ZhhGX3HDXJ3rhxJ4No46vY4+7ubnA +BP3AXnkdbNHJmOT3HpQKzAWy0OPwWA6Ygjz0VeUMayN0S8X9ETWfP/Ovf98arH6MRjQJwl/fIC4 GL/CeqXfeMyV+SPi+oh+2r/1eTCgTzqA8bgxuvDlxB+R9i93wWj86iiM2+ufA4ObYNiA8ZgxKr66 +PG/EvLYYaQeb9Ymk4A5tsIoX/1oDLC/eJc/1rESu4sf/8wRzPxlGM98Zcq+xG2OGOJsGNgnGfob j765sBc//vken/yyMSo0YF3jU4YYJ1yZR2Iw6BMdMMRjxqiw3fmPfPcX5JcJGH/CcWpsfRLLCw9V djwSIwASFzEec3PhkvmP4tUHeug+8lL1YKR9y8hujT5BX/pETP0oDKGjm4QY5qOdf+H68x+dV6TO ySMvVY+g7d9x2Z3RbcQ4EU0/CiM2sdkQ4zE3F+58chKOcfxV8fh5kOu094Fkn/oH8iIY71kw9uUM 49qjJ1nuRjN5ExY52vklk2xsjMaxZDFZl+vkZGb5ERjYJwXGzqMFDJ05kb+1WHUt56XHj9F9XaaA gbqxZpxckXoEBnjk0wLDJuEjMUDb4gLjDx3brT92kmU6mWQMMDiTa70TsvEojBqqZyYZzMyu+cjB Ac/KTj7UxJ/s/YL0HjvJhq9eTwRg8CyWS4OTA78agxtosQoDrcF8JIZwawXGn+8+IHT0qCvxUUun IXQxs6FnltjJWaUaIwDt0hYYjxp58KymFRg7258R6j9mko3rGddcmNUOotvS5CfjiUoMoZkytmcY rZLr+jCGrGl5sAG6cezS9qOuxI/2kojX2jdkcoceSLJ5Box4qYlzfIb+BmDEj7Jq6N/aM88XGOaR S90P3EdRiJolapn/sUw+8NelpZ0Bw7MHXAf/T+4rjP0fmo/CEE+sFpbiEMs9zm7Pruw8fG2wQmwj o6Gsx2Cw68uzN54+EgMQWOwCBrII9w2j9wgBy6S4NMdwHPcnaW82D57SGk+Q991sHLOn0WC15RWS /z1+JEZMOAwHwAgJYnik9wgBA4zLXxkWGHvc7Y7nV/YfulQsS3JDZikLd3Gir98zzeLN3EdhaICA IQrDH7hbk72FgJ3IPGYtuX4hFwBh7d53eyMaFE897HrExDU7MstYjfM0ZgYjM/Mjj8BgBrx7DzHw B75jyN7Cves9dKX1dC5uwtoG3ej7t0j+1MNOikfaZgLdzCzBo0+DKCbXimce1Rog5AxcQBWicJdf dWVvESWcwIgNaepcPSf+s/4ZGGzLKa58KMcm9HbfgPlESNfdGd2pZ/edwscVj8Ko5VGSctICE0Wj txCwExieIQ0jUx9caDrohrVczHQPu96hSenXQMhd0iaa8ZbB3d2ihfN6pdMYzMyjJIVRN9Dx6C0G fhmD11vikpHm0bkxOHKP+U+mg0qM/dFo/CJgEL9/aLRqVFrXCwz+iNYI8ijJQAxmdAP13vMooYwR 1ql4UR+rsR6T2HJ/Mv1xFldhCGP0YPsl8ObafRqQHxmRPHz1n4vWIJUYAjoBw5MuV0hhXb03I8XT JddNaPCp1nQa43P7kltuJ+2ln5IKjFCX4e46OA50FHVkaGTy3u9+mmM8wlLi5yT/LUDAFoEgQb1H T87du1JrsOWXqbBMf2TkbpLm9sZ01DcqMLwx0xyyKwfR+L4h9yMYe+adx2IEMQm3AIHtqMCtU7z3 zADLGM7mFUHMdr8nFe1fuHREaTufLE7UgPNz1/myS9ZkbTwBbTRSSQS59VgMfWw0MErCzglcbhTv PXPvShgJ2zQEWXV9QPUkGjr1Wz65qp48MXMFf7YXOoTcYPUJ82S4wSUVrp370yO3CoO5466vgrUm 3iuPPHrSnwnYCYw/BYwV6d7JaTmhbcNZrohk6/8s6tBuHwRyClfWM0mGwskTSf1coB/GCNzxIMfo SmYWH6onWzNHsDREE3GtJcyvCHlE1AgSJnWMvb+cj+bFR6tzYQjTjGtTAX2ic9fPBNgNGmErrcLg uhwzUw3PWHouMwqMxixKKLeG+IOhMG5y4Rqe+kPzNr+deafjiWDCHSI29HhFQFfHG4L0hPNiLG+T eYD8EAZ8rLHIMbhVl8Hsvb2KKCEWeiy+8dcTPg7yd+78JKPjG68+fKWoT4Xjiu1LmXR3TNnMpD+R R69+KsGoZvnOhzA8zCcbCkNqsz4BjAP3dAgSO8/HLqjoNPHym8U/TrujQ+Nhjyd+liOG++JUkv8G w4hLMNjjV+7Ivj7PWpzEwE6IZFdh9Dw3NkSBcWieDkESa+Mz87IZTcIiQcz0qAej1CYnr9OAYtUV 9rqQhzVUMphqSWzekn5tvjh2EgPXLSKZpPhsZwB9kg97sJRmPpGewDh8td9cN+k4tvLnhEGp73dh ki2LF6/BIL7rCsdyXfD4wU7AWikjtnuXzZcKT2KgYx1JtoUYwQ6M17nBdk+PvOTYbXdRRdPl4rmm 3yJmCIpaThrEL0n38L9CpxDSDiT2yVCSSFjc/QkjM3/gBAb2iR8Bv8JYhcGhzTCS02M0uee6bxGT 0LTTnTXmsmPilWVvQxOydvynLuiGfwcGvcFNJltM7HDZiI3ZTU9gwOQqQGnBIYd3j16rgQepMCLp Z6dTcRlzXGgM10/iQrKY9Z+4n0wG5aQB6JVVe/DnRJjGKDRFPYUBR1JBXmRuN9Rn9l/GQP1miDFQ GDC5MmuBcSrbknEbJONQkkFWSJawPpz6adope6Iw3G5ciG0Yk/oYxpo+7TTxbu1LsdsL9dmFZQxc pwpwGYxhTisKNkEaHtcafJfL+veE28kKmZPnu6mfhufLQa9GfC0D+fKipyH4D3pcvyF73O09f8+l 3n+cXVjGQC00cFFQrCNGk5GkhOE9jMHEdibim1y+k6VFH3d6kZ8GH5cWYZjRPjYz4Vp6+hWIN/Qh J4duIv0HMNEfG/9xdmEJA30Gbqq1ySV4909MkNMFBi+uXMzgzHk15dDK8j0WFeIW05Gf/vSfSqnU gNBPXSbctUvZCgi5OYDQHPxLys1bYL7zj1bCQK8zyOcaGKv4b2OO0crClfzei4x0ZplRBkNabDNa iBszfD/9fil3IWokAofcIdAxzxggzKHj+j01Rm036M+imjIGikYzx8C7gpAPShha8RHxLfwc4xBs VRpjnjKfmfm7GsSMt5MFakx80MLsCOIIoQFlLzoAy5J9Drrh1KO5CCwwOLr2rRwDDBBHXbzAYEaB wd2ZR5gdEz9yByOICMl4JmCOGafZQjY80gevITu88g0hwHshaXTb9WFSEdZLbOfFdD5fLzDUAnSB AcrtwbvySzlGQ7YCUmDA8AsLjHsuoWZspilzRzMBm/pJmi28gbofccA43k7kRVPWCItityVIIr/9 bKxlWQWGmk1zjKlsCfVrTWHA6HyzPp8MTVnM69l9123XmRlBsxdOlGQTP02yuXoxc4RphOzB9Sn0 OTOpeJ67DQntEeif/BafzqOwxb42Y4HBZJeZqMgNhRE/43rmHAMIc9EBNZCknhkjwGgX+RX+qp8O Mn9206AfBZhnur8rBE5QkWxy9wYu6Ne7oSXEaYx80BYYJH7ZxfYYKIx9gZY1wwAByj9tJnaF+1Vw XYfgXB6aeZfpfvrzHTJv4VGsuQeot3LTFJoLTcdd1A3PiGuWu3oao6fCyRwDZh9drRnDrKH05A1j gTHkz84wrnO5/kpMOiBPpJDlHoj5+8WV8MpxvO7ehitdF+3Ej80hV7rRQV07Wj6N0VQZtaI1mqDr AcopzimgJwGBT1TcPOW1GcZGJi0jJO9l4I8WOcCBmU5uyDnGJOBuiI26rssBpfv+zwED/A3oIaMf GKeH6L7qlwKjo+mygSaDM6ynJKUzW4YBPZ1hYNxj3jW3MjDKzfzZGAx27gWKGofAIIaRTjwC9LHR itZd0GkYavXRKOidxvAgJp1hZLFRm8sp9AlqSG2GwXkxkTFhRoL47de2snEmZgG6maRzt1V8mRPo YLYizH0ZWxSsBHVjCp+ZXRo/ON+LTmEcELbqAgZO9FnoXswxwPuCSRyXp8/PMWxeYDhkxIlPgiSL Uj7LxBhpCWPdcsUVHjiOo8NbN4V7M/rE9QX8Fkwm8W9+eBrDNwMHWoNhoQmry3XiF3LqKT8k3OXz exetkd0ifkYOJWD0o6zIxAya6XDRKc6yKza45jpXYXJFDP95BqNII6I2zQb0dgVGtweWQgMsNIFo hagZHzQT+8QEkmy+RHdQaHAWmGRMvifvbGdtOpZ/oP7YHaQ/+3CO4UIUfJ2b7SMQcjR1F1xr9yYm CvYE7/WPv3kaYwADWB7rqFowKEkzr0ZqARLcgV9YYLwR5R8381ruCDBASV1/JHK3qM/S97IFRujy Pe7370LkOoVRDrMr6IYNZiiE880+PW2wvpq8wDI1pRhkkGN0vXzZ7fICI6DoB+CsHkifvCPcOpOE ZnmU6/OnNxcY24Bhyz7F1IAgP7RdH/xLX3P5susSzW81T2NAtOti4ciSi5McYXlRVKj6RLJSa8T+ unrH0I3dI9IU8qvg1rRTmA4Jyo+XzheJIR4hoPijUUOGVPp0xW2FgJEnb/w3zCunDdaXiNGToWPi OhsYWl5/Q5QPxF6fyxc4I44ao/vwJKjnVGxmQpLxpIm8XdlJfzDHMH1oYjIGMayPeUTvuKgbNwy5 32779NiowGjJbj6BSJXcJ8py8U7QRVPJggUGKPwfqD6RYkmgW8Mvg1rTKARRAudskC6GqEkMzCJg aoAF2zQE3XjD9cC16R8bEfW6Va0RIgY0rep5Ap9K/b0JWo7LhQsMvjfFaR0v2weM8YTX0qn0R/GT Jua8+LWFbhCnFZI+2CoMDs2mzL0RfYKiMR4FekrjD6sw1DwG7l8dmwbsI8fo7qPlMAgG5hgvTgon EQIaYo7SaQdkg/ghZoinUtTnPqBweKvmj6Czzrnxigstc7jBNsEKJpH3VxllT1VhiFX8fBitMFye ZJfykaCj28PEhQWGHt02lcDLeIf4fi+NaQpzrOcqDNlYWMpu9oFBxx7MNH7CXdAM/5tws/iZaax/ zClfrtANKV9zlfcn0csjsywaCHm8plZ45hhN6jfzruP/AeaUfsTBjZDuMi6VT8vnKojrKTg+8EE8 CXLv9pRugKx/7ATuHXGFkdMG21K9HaNqyjpFjO7sgg4WOgzmBsub/Xaj0O5zmAkccXOUCWERX4Ux 6QLj1ag5SmNweGQCGChfQ2YK/eN2XR66RlCNAT1ekyEoN/gBgKHcS7YC8pVjzFvDsFY3i4LIvyAr MEoz8LkyzNSqJixhfJM24h24JyFsm5MfwiQfaiBFSd+QLfKm7lcZLPQIzJ37OMAVhpq6PY6+GHRK Z4Hh2G+y4nUx+R5qRtcdTbh1xVcLZ8kCwwShX4MoCUL8BjdAvnzoby9NRi3p+54xqsSQRuhinxQY GInyOq48I0Z9gcGn+3GRFWPku1PhRqHbH3Nrw1cA8QKDOOeZ5ooldyi7fKN3G1TUZctZNga/hnZG URVGJrs1Fa0UGNj9oVlgxOYCI0v3h0VcIowmqDzc/IDeX942lanGW3MMx34j24cxRxi4sFsgX02Y ak07mwBG1E0XCYgSBnND1SdzjK4S7BxDW5QacbB6ul/80myNM9mW5rvmvd/e9ZX/kM6ek8LOjnc7 MF5g8k65bTDXM2Sj7+xkLdlMJ5NZPuIkBmGqT+YYMUjRDKNewhiP3jAPit+GfjSBi1/TyPGmbapG TuZL02I3Pa4Fdh2iTxMspcVdD96BtnftFqjLdBpXYpjcVBHkDINh5o7nIPkMl2NQ3zPXzfyX2GxF KF3L7uGOY6pGjhcY26M3a4eaDTNNL+Xo9sDkqkfd944MeXMKwfVp+YKx0ZSGGnmC0Hx5wazJAgM0 Wptj+ERbtguPBVwrCoPUs1zLck31qs5CzJ/ve2ukLlzhom50+Y6JaxmNn4LBHghpm1W6kTWwUqHU GrikV2BA0yzNMYhbD/ZmtQmG24d5HkIwB6Iw1ZalOcXwPeZ2IewlDDACflXy2oTVB7QlVyGCqsRg tWKJeIHhYj1LjhHMa7zANW8N0lmi5i+kOczYU4c2qKgaMGG9pBukyfYC8GJ68mnuHq+DnVzkwaUk ajFouXq/ymDZustOYmAUW2CIkm5kGU2jN0j+WyjdURq+dLwLKnpTvWhY1o0Wm6CXnYJuEOqZov63 dj1JJtQj7TvV8gWuHDvRKWAeGCWpCtqybkxSmtIidgb3QPaj3vSz66Cib6uO+OkCw5m2svGxiZPB EFTUw3znmhknk2O93w9IpXwxQYql3QJD24aOQgwtX7efYYwjmvp+oaPiKfCH/X+6rzNrA8dLaL5b mujTVkZ9XRAOunHth+DwRMN35f1NDkJOazKdJ0JKEz24Lnm6qMDApTmMkjBY5EYJ4wptpWR15mPt S9f3B0y/v3od7VVvby1c4hejVobAPurGLrhgtckwkMN3HU2OQ3M6PY3RUhhxCSOGAK6OQzRGB6CE Yfp+6q7M1tQGMLeBU3Pts9/ZVdOjU3KJ9VErI6tbIF8UVBRM4KUsDd3h2+7yFIbMdFo9p5h5sJFj QMiYMgMxasW6/QwD033Tm8zMf43BH25mYvP46zb8JXCy9OYCg7aY818y5Shj6YPn8CQ2hx3/cI/V hFy9cgqjqTBUQJxjQD8UGMorLGFojp9kf50WSsxf5PLpTNirWHcPsemklFiot1ts+nGGxpbyqy7X j9yttDcc9PvtTSKEcXpqaygMteyLS3IENSTNuojhoic4WWCEe36aNocz7alPxbNMOKs2tAarTcal iP6ia2TZ38XoM1yCQCN+xSfbaXeQjEa+5kDUcBoDjAkxBjkGTDpY0pnFKljj5TQLDNldPx21ejMB a6T8gFvuaw5gePxVOlyoqG21srQHE1ULF09AyKnxzqU4TNLxbZ0Qj54eot8mCgMHHmAEXeyHFOMC qSJ8UVvoxi/MVtr3/dkWjEGU+XtHbui4JrxI7/9sYbC20coi+pEJY3QIn/MrMKd2v8+vbU1k+C3/ 8HwFxpumwsAlNQh66wkE1YABcYHMK2lrJd0A17Ptmzgi8cGupP7eXZc5BCfoZvuFUkTfRd24geMO /LXAgcBg2BX1ixmrRTT4zYqkU6upxoZUTmBgMpytU6ZyTVh+H2wtMGijlVqr63w2yRqR/717LnfM VVzXd05E9KAb5loHPI2QCM1xtG46lPW3bXZhHHWanQrdGICZZKpuTJB9VV7kpnlcgH1STxYY/XeN +/bBbjZLvBugog9cYb3yjImrs8nlOcbGBwZzVhm0BME4jKwbP05TbgzbmjVJe/QnFRhx3hohppV0 FbO40Br47tgnZQxiG3F2Y5LOyrC6qKKuWH0VXRL+Ukm+rtw1mH3AYIjfhpgJ3CX3J0kaGkNRP4JP QSvGRotfUBjgZ4nnCKaINcRAg4XGj7eTcoBgJOl+FM12m4WkBc+K5R01zdTT1+cYpqWz7GYMLlNA OAyHjjzeTGpRGhi+sxeYrSon8DyIOTYx6if2wznsFMDAd4svlVpjmjXTUZP27pqz5mmBkorf21S/ d0u6QfYaWfqzUB6aHRm+lEYdSbc3zUkaUOpbt80K3WjBHKUwmiibHq5mFmMDHe243CmTtJvSVr95 pM8+tA5OgljTVOsM0lJEP93Pot5H8nAZbmlnaeDS778LM1d9FPlk2bhShRHmGB1MRqBtgFPPQC7Q TmSyX8JIozD1W0Rzfr/4y2sXmOOKnXMKg22XJ3rvMqU35KFHmO5AuGDSRsPn8eU0NvxWlXxhnIJj A3ycuuqHGmIwg4OADGQyKGFE9OBSe9V92WaFuxYcQNOBcqtOESUn8Hr05gXUuYPYDa70j2za6g2j vlVzpiFMvnEFhg9dDK0hXL6mhFxqiAENU0eXImFl3fCP6mKF377MSD5K48PsyIVxqDDkfimip619 crhj3mQuDNCmc6XXHY7prfrR3v6PI8r0qtaQBmKoZQ8cwRctNwE3EH4GKUv4by0sxbQsjV/IPqun y3nUwM3Lxy5fJjlGsMB4xW+Fzgoz3nmwdD69p/tG+GE6iYKn+zvGP6SU1ysxuoih4+DAPzir0BoE f453cdNRyWAdEWbvgLGMAhUSQEDzgwduaH0rx4gX3pfpgm58nA31kWdlod5v8eVkOmkMqeceTynb q8SIEeMauFMq7HJfQ90QT+I2FcAozbBimrGtZkS7/RmG/3HsaqtXcox0oaLome/9XRIa/c6R3emN qDA2BdOHUVdSmwa8ylJAuQBjUzJl/zCxYBY/xjSLcp9KAcKkEddblMb+e3fzP4KK7iz90UaBsfC+ 7GmL1XuDwPQb/TW9kwLG152rbgq+MCXHS6JKviTOKWLHxcbAsYq+KBY1I11STrOkUXOk+36Lka3P ZhhCs//seoGx8L52J62s2We6726PAveTCY2Nhji3l4IvDMpO3MrWwCIksUlwku1I5dTjthDcpiKT crgUjRr9hk8M7mw9yP8IKlpjm7t5D5VU9Pq4lXV9Rg7F9rgr7+3SYNx937ATTmVvBBFTFUYmu5na D9xSKygEDFbCVIA7ImRSDpdo/y1TW3WucJ4U7nkThPGBXTggJRXdAM/8XXNNHkzTtCej9R9qECBQ fwt6oxf1+v3KNAumizD91pLxb8EQRQzMbyiMcrjUJwfEXplSPpnNd99l2sZnjnMK40q/NeCrTN6c DLJIRr5mTVM9on/rGvLDdDz6rDrNwnehLyL4MdjF1iCpipKy3HdatIbrrq7YX8koTwfF9o6bbPmV u04hX6VMoNlueXCl/Gu4EjD6nuvE9XT0fdKS/5CNx2F1mkVcgJGJGPUEeEI3DYjCYLgIOq+G4A6/ 8aVxA+Qn6hQYh6FlHjnkFAZxlp7J9hPZjAJnQ0YRbbdf3psMu35L9m058SrHRhNUW2EwzKWBv3Rf 7QHN1D+zwjyc6KfeIGqMKO+/NcOoHRLokxyjU86Ze7tpZyBb/e8TXQ7Tkew/IabwCagEh4M9VRk8 DmEOUxixC2+7bqhinxyjfCVM9I105IEkmi84OcbB+WNHWLl8iVrJM582sij4UPr+drspB5OI3q47 vJZGVJptK9yrbI0Qk26IkeAbP0cwzZLMMOKlOcYYA+QDEw32kKg/eRfu2dx6VWGETyzEXEX0b1yQ h+sp7ckfZZPI67af2wT5ik16pDlVYwNXX8gCo6bMtpOPDZUunmGMqJ+Rw+UrfJoc5q2h/9P96+xP rium/e5CzLdHGNEDRpZGkew5YNfp3Xq6NWl5o9FHZqV8sWUCo3SOoc/SLKihSsdmGP2+n7mrGhrs scJgxoBdevBnu4gh9J+9PceAiT4jZk0eTIbjntTJXnwhDc304vSN2ngcmJXyxYiZNRcYEAmmMlYY tTxdPMMgxGT2SogGe09hBHrC9c92lHyF5qWFmJs+RvShvDkcJL1Y98FBSMDhf8fRyITVRrRaRf1s oDDy0cB1UFGszEE3sFaSL+KY2fRmeAUMVuXsuPZsJup315VuaM72wlJMYrDpzVg2aTCNvIjeWRZb sUy77Zo1jZ8dj6qzPX4WlzBiN0+zZJhj0UsYFvezyV9/YnD6thLz+Ms3mdg6shCDL9slFTUdFdGT Vv+rzj0wkMB0/xRmzGG/1baDvUnvURgQmc8w5mkWjCODcrbnqczPoiY1wGCVbmjJAXN2LAf3gwbg fy8M9skMIvrmB4ZvbVsvr2Rprd9++iIEOb0+vXXOZrVKlxhLfwx3LKnaNgvTD9mu2b4AACAASURB VDiBGVduek0udvPyDpjhqNVvcLKTL3YM+7blrqplHW06SeZ6K57LKIOu6PrOVt8zHVYf97tvd+Mk HeEA3Vk6HUo3c4wumWFAVyRswABD9UkJYwC6QVt+jTsMD1aIn+/1bx26r1mGL9nKi+MSxmZK2Yje ig95MupRcZWMR8POIN6cjKXX73sVpQL7eDIxhmgKI1TlLQmLdzhuVIE+SRYYoQFqsOrsODuZBRja qOW/cewG1oYP8bw+ChcYF3XK/NY6W8mScRTd1ZwMYjq2dXEX2nkkahWlAh6ODXS1IsSoqQKshPGX cGLFiHZ/gXHX9DNnmfNV0A0imfYt3//0nhtb131wqHv9ny5U9HnAIKtcnE+TNIUY2tqpJ4l44W1r L3wxDXV6Omf+BlGdIgxsDYgKMAKB5l3Cd8d18NoCwzdM5ryR8SfT5DNw3W2TmOF9l6/u+jARD9o/ WET0RhN1g8lGFGeTDCKmd2sJOPndtq3tTcJWBQZme1rQ/jq2hqqfUBhq+RXmlvjCAsPSDJbtp2nQ G/ycgEEtOXrMIKK3fQ2H1O6i0sm8aDD+MdyFBo7K8Hg/AteqNgT/eD3r0opsD22qTpEDbA0VJUkT MNCxwT4JsgUGj00wwyGowMcxYaYMpk3OIaJ3V3BGtrJFqQCxAbgXS898+8iOX0o/1XtbWwIcH4/4 To9WlAq0ujBEp/BpEMPEPuGIgRUC8KvQShhZbGRRi0YfmT/guGc3zL7LMaJ3VUj/VLaQL4sbmAmU B+QFEHKShaR36T12IRnX233r9+l3KjDiPdkCDP48DlG1O2WGgdmeZ0oYE8AYYWLB2BUWlkFvH3CI 6NddlWbplDBeAmc5oh/Jw9VtelC37FD2Gj/19rJYpyPfM9+swOAvqU6BmZXmu28aBYYqqiljjKNm 1vfbXxOvZWLNxMnnEORLWDsmPp2UdOPFcSOj/i25FCTjwOhbV2WvG+piJwDzHb1p0qq1tqdyjCZi wKAUBu7MgGANi3vZM2yBMeo1srbpXp3CgFGxtO6vHwLGcwojr9nPMb4x8uDKHX5hkIz3KW1fdbt4 ztBmfTJuRLRRYSmY7VEYWKyO2YTYhdZAO8UCVuaVMPqt/8acFR7uxnFeVtr1D44Bo+6r9/7yAsOg 315z/oiF9XjA6lHUf83spPGYvmtO4/MpHVRihGqIusylqk88tBRmCFvHddiQLzAIsdemB9k9PdYg xpNYdHT7AQxRQ2HI/VJE77ee2fsH1mh+ol2VaRr1mj9M+GS03xfabYjoq9Kz+ZwiTVz+DNQzfsID F6NJ3PxuLzAch1/I/moCkWwtT3cx89P7mGbJMToL+SKO4WV/z4wW1XDOS6Puj7bE5J/rVNTpHuX1 KgxOEMOQBlXprmdwsaaGpSxwEePrJd3Y5bVhM4q6fS1Pd3ET5evcdo5RiugtuxWkvZj4vmZYXMui uHfRscOvguRQ6wo/X1mxoPc5rjZ28/Iy0wAMiJJMyZegpb5U0o3JZDBq0V7cvrpM8hfjcuG53Rwj KZUmZi2YYf9R+u0/pv7Oub2IG+8QoeE2Beob4XolRg8xXpCDvA7Ab/qYdsOiGhswggVGGo3DFugG s3bvFRgwckLLLjAWugEBAjPoHXloJ1Ff27AiYfysfWc5mfQkpa2uVWWwcoCdsuay/JAvM8TYDS2y g8mFcIExHDW52TI3uJ3dzzGa3LG19SKULmG8GFFm+DfkQZamn9Sjww2pD/uBucmppNAx/umJHrM9 6H2vE3xnMBlThZCqqAYx4gUGRQFddSKxO9sR8lfc2ly3ilC6VM3yDdpiurkDEX2ShWbUb/IL6Wd1 +q5zRfZSGB+VaRa1B3bNwMXoGDA4YgQ21tqcbA3D37deXp1GYjspdt19jx/VfjHDyBYYBgQIV/8I J/oBD2VEm/FLSVgfvU0M2cu6UVSZdFJ7YLVcRTFOAQxeB+9L7WWvLzBMV7PDZ7JIbAyKLSCH9u36 PVXpJE8U1WCAEP/vDAMEMZTRsKdZW4EbdXxDfjj9MTg+FRhc7YHVh4CBZcUmbliKiVqjd1lolnSD H74YP51G4lsfFBi+HWx8plxi7JTfn2OAbgzYs6Fs+W+71+RwEur+pjZNhxDR3xbTSTWGi5ZhpoAR rxUYHm7axn+9kku8Oz18OtZHPWHeKM4aa93SvnXXulJgLMpIQDdqqf6PskVeaDfkIAtf7b+7LDKM 6O+6NtMqVZSwdSkJYmDcbMIQxar3HEMvYUySN+pRs98UZM0qWuMjzbSWN4pOOT/HWMuCWtSAid7Z 9rsy5IO051nO1WRMZZ9YmxXLwdAahvhKjqHiZjN0M3R+cgxSru0Ze/V+o70hnN2jHAO6nji/V6io t5CvF9OAURD3A57QobznQixV949qWxMqfVBWt2qI8p78jRwDbQO3Amb7ssCQs1MIpEpI7idtz9oQ dna36JSacMTXrysMUVvoxqWoyfwba/JmlkQwRIm1F9fpjdrFjAqjT/XqiB53FyoMhpHiQZHtcfNq Frmo7elTENAvrYNuJIWKes+Il/hanpAMSxi4Rk9WnpENCBAAwwdPcDvytt6yKZhtaPhVwSPHbM8C w8u9v1lr8HNzDNI2wN94FnWjOIzF48K8b+UqqnVKBusbTMD82IzCKWBQerS8FesJGKw2GXtVET1g eLgjZ46xn5e5zzBCa47hOgabfreBuvELhcFrXOj3cvni+tsLtwdXEKZ/H8gWBAhDELGRZ27GJBn4 S+eyuDYZV2IsY2miGhv55oy4BgKCEDC9lcMlYbeyrNWBeer1XMzDr3Cn/pmlEpKhWVqVtvDKHmD4 l6xrvJamWv/rmzDpUM9cD1ezimoW1A2fNxetgSvRMKUghoc7ABcY06yVjVv/45vCXCvOBDDto83D XL6egMh2gTFtwXt95Ppk238+XJ8wffTORTdJoh491IQzqBqiHLyvQQkDwhoZ2oCBpWbghs0xrqct iFMOdEF2lHzxc+AS71jWt3yccPjiLBxxYUKzqP8+OXRS2tCsaUii7ltmnKS96I7hWk9WYWBEH7sL jNBMRZ3j0Re4OF6SLz1qZS3f0oW9q+Qr2AWX2F5dRfkK7Ky0OF6HiZ4e2voBS6MAwghtLx129ORi lo4Dk3iV67CIAe7ubGzgQh/XeV5UA0HCAqMu/ay9LOow0au8aG3i3xbu8jLIF0R3aWlxvDZqsfZq 1r05GaQhNItpZWnSTd+zswncJBg9qlNgTpxhQJSUwASbL4575TRLt9/KnDf4QFzHxIJk9XHrE+YG vw3yxdYvjdOP5xiaygSywTvjwWQ4hsj1yE7g8dOjPQiTaa0Co8j2NHIMlmd7eMxzIa+X0yybxGTO 61nsXBugfHkbvWYM5nQRq1mkTrsL+VoxDbb304zpPc9Oswf1PjW2ErY18J2Xd9PQiE5bSmOW7VEY QZ7t4XiKnVQ7ADsLDNvyWdZMP7OudMAJFNor/e+CS8zXXTT4pv92KZReohDRJ9Lof/9oOo3/w+gT 42IiaunoSBdZp1eB4eWtwXKMutoOknCxojBqsw1/CoM/5WdpMxotmzdBN+J1o60iepAvwB2Wq1ms P6ZgsP8kW+3tti2CSRQa39+StST6yDza6/aGFRgEx4bEjRiUw4gMTXUGh5YfSiJZCSPbR4PFNbvL HPMxhruiMIiP4b21VVpBCPHKj6TnbNMjG4Zvrdd9DzAmwbd8q7J+401TYeBGDIq2gUECYIT5oSQy KI2NyUBlAsmmsyuIwK03h7YDGOYNE2OTkkt8PTQgon9fentp1PdMm5nd4U/5UgwDtO+/TI8rLKWZ YwwRQ+0hEwQwYsTAFH4JYxyamW8SZ8dmAg+bCKe+fYQYGHTL8yWM7ZEBV+7IG+5gLPf9o6tY3RFa m+zZsey/ZtAKf6ObY8SI4eYbAQCD86JPShj0wMysVRu8zNgh2A+uf4CJhT/Mw/vS4vhGC1wC8Mxv 6ANwPGm/Jv97Etf8F1DGop5epRtxnvvil9AzV+muGUaI6+4ljD7Bip2skzYGR+vokuj+Tz5zxepV E5+Ok1JET/bZ3p1MNpuBDDZAOCRN4vroXcNltbQXRv5pDLarMoEAQPPzBfQZBtb2XC5hEBcrdtLO uPvh4UUiMc2ClU6/oykMtl3aNOR6LPv7mBvd9xyYX6MfEroZT0aecbTz1KQXR/3TGOJLeZqlUWR7 uIEYAVc+WFwrlRjZ9tUsbUTBRnDhWHnhjVZ83xUXcwxRW6io5Xz7ctoNQ/Pd7fdXsiy9Z9C//fNp uh/52vJerzp176nWUNke7JPQRYw6VwXmSaeEkU3j3ahJf2i+fzlU75w0wUkTF4sYtlGK6KdvXoia H9X8nUtgJ/+cRc1et+1Ah0AEaff4U9W1PZgldmOMU0yULDPhzOCAlICnUsKYpPEFLDEynQt5NQt7 GnVjVs1SKk28Pml1Rq0b5iHX9L51zo6G3SHYywuT0KTWN9lSFUbsttRZToSqv8JdE67BNG+qoprS 3qVhFNV8nxivca2oZrnAHRec1RyjtJ6yHVH4cLZ7MPH00YFubbDfH9K72lYWStrSw8qVR5XtEYYw qNriuUKgU9TGJY5FNaW9S3RE98mqcyWchKv5H1cAI5zFsCXdeAUmerLKJMyw4GE87+viSXA8jIui J3uj1+qVOzKkgRg6xL2qqU0coiZO8+zyyaKaPm295axwGqezMP8Q5EuzisXxEobRbzELDTYaZJP9 qN+U57bS4Mq77hXZA5zKOEU2EOOP5YCq4W82SCLUUooqqiltoTJNY2f9ZtZj0Syi91+6u3OuWJU+ uVvHYEsfZ+CZvwXDLIp63Nhk9Wif6CCngVFZOCFDXx2gyV5+KNuTF9UsdMN1zrHzzbTH6UczjH+4 p1lWUVRzYreOAfN5ApHiReeqG6W92Pz6zlfSgd+SH0674+pOiU3EIFwjuABs5tmeJfj0D9X2cBgv tSZ8NPMHRUTv/z8PNHt1u8BYqKgDAcKg90/SJ1vka3I4ibx+4zkrSzCxAAZXnWbB0FW8rIrP9mfZ Hm8dpoyHimqy7IYctCjlZBZKt8L4PPud3aJTFi6xnbUGoQERvZ36DRkymFdC3bIhQJDHjp1V1m9M JJ5OWMdsD8ZrKtsjakXhxMk9CIfmB6bf4s4slG6y4PqDrxdFNcli09BuSmvH5vuYgut35T1x9cVx aPTXttKRpMSyg8oyEtmdwuCOAINdKDBwr64qqgncUmIhOjQPcXPnNDvOMRrs3KufrRUqWt6tE71x wTd25XcnaQ8TCy9PJ+FGX7s4AQzfX6+MU5gbTlVRDVX1dHgYCcwtRTVLOU7pjW7o1jnnCp/MIvqb seUerxfyFS4wNqi3Y2losMMhhNLmsg1CHtbetUfgOlNv9RFbqNZV/QbFgjNpxrl8KQysqZ1j9H2v u+dNKR8P4hzjjuaYR7NM4H5pcdxvsOn/QIPtYGKhT482L07Dyz+1XsEFhUalwWaY7VEYDCs2TU8m 4ay2h8lStoeQejz1JpTTQZGQPHjqiDgFBq+fzARm8ZZs9d9ViYXRofandicb+K+El9MH9eqKhS7u mVcYuCq9Wle9PCsjKe3kcmwjS7065f7bhW54Lx07jpXX9gQlDMuBUPpHNTDYi85QDocQQX5/Xc+G 9DUN7ORSZdSWDWCSXWB8maCnMcm3GsryTi4+9bPoTZh6yOUCQ//evT2eq6iolzawOxKr7vclhNJH 1+T+ZBIa79xwswSFnIOjXokRFLU9OUZNpe0HM4zSTq5p5oNn3gSD3ckxmPmTB8+yXEWZUYpT9tRu HcCYpv7fiHNZti+7H7gsGQdX+vYyzyotRYNJXmGowok6qodQm4awoNxz5hhp6me4gZPbLE9IeuaA 1e/lKho4mw/v1rkob0xS2giVnQxDk13MVEDrTh9RVMPNRWu0sSQPz3fHAyJkOVm9MfLBfd65AnKq VJRrPgTdny1jhaTQeHJitw5zVxl5Z5yOu/t96+V1cJn07N3dyWRcb8tzZhUGeF/NBYbK9uDepamq dy8lqw3qZ84qKFuaKBUNX2plYuvub6OK4ragEgZM9M4dZjbpIA3ro7t1a5qwbvb2+jSL9f5dvQoD A4RBCYPVwctQe5eI2sk1x9BXTca/w3QeqYheammDiZ1V5Yt619PSPnoNa3s+jhutfgCGMQ4M39pi cdY5tLm2PVoccPUwBnMWGCBfWFSjaqu5XsKo2WaWNcZd0A1MSDJ9fBOPe0MV5UskGixc4jWrlU3+ bjDw29+3BlMZSNrcZGw3oW1Hm4yD6FEYwlpgoAdqFEU1YTnbs7nnJ2lz1OH+x5iQDH53hIvjbyJG SE7kN+yvtLJx72NmupeObI51ZI1LO+JyMvLXVvfi33gkhlzOMRIcAhL7keMxC2AzpcVxdhl0o9V/ 3yaXUeQ16uPieICFmjXZ9N8pRfR1rAK6yVfFtm85Vy/D+Gy8L7UkxYxkXB/6pzDUFiou/+8cY1/l yBPoR3VEHwRxpVriiY660bZXBOpGrJltcAJdMF4TExKkpBvXIfbv+7vyO9OU+kSzp8Fw+JH0Nief 6NQf9CoSkvs5RqgwVBUNepVFXAAOacklTpuoG46zxDEhGXDTNV/6zOUg5hDsMau0W8cNW1l7NZP7 WTru3wKHpzYcfiDrF2Woj+jf0HunZ1jPVRh5bQ8MBVwSTjJ+odjJxUoYo30/Jat8GrDYIqIulrj/ Bu7WuQLTkBQr5Yj+ALPrgJEO0sgz/IsGGC7T33I0Cb/TH53GeNNUGMJEjJqc1faonVPgrAWlcKl/ 0WTOVyaTeJIcYn6jM/X/MYaIfkMFsfWSfJlHaLDgtjwfTNP6mHry5wkLos6t38gmw8BoVgxRQ2Hk tT2q4Ey4CcuL7aGttdLBF6Ztsulfpd34+cEx6UDUO1Gbhpa31c26yWJx3HT1LPu7gTw0PDuuj6NA DreYNh54q9MsuWdU6UY3xxgghppcQ8TA0BWoWBnDso0ka0bdY/31e+u4Wrqhduv89o5awSufYuTY MCp6HwpT/5ql7WZpSKLNndUsqfnWk9PoiY3qNAtisA112CB4F56rqllUhpStlTCyaQPm6H7Hb16+ /xxB027ibp3fexn7RLJLJd2YemDaN9iqNjzU9ngWGdHPiAsNMzrS7SjoVmCwXYXB9SLbI87NMDxV zVIy2GSQRDDFEm8rP2vBeCffNKQwylu2r6dvXKb+WrAap4HpCDsCp7RNrKvXIw/j6j+uwBAXFEZR 22NItooYg1xFmVbCgMl6G2WAXNxSJRayexM3Da0ZCqN8DMh21Kr5qzv1g3jbu9L+A2sjHA5B7MDh 8XotnT9pnsLozYpqukW2JxQkY5iVhclV8rBURrIRHV/wl92N1Z0ivxHftY+IuFhE9Ivz+cTzIxq0 /wszX0+1+nhU87/GtpIoCmsWbg7pCf20wfbyNItUaRaUrxpiMEO4HoQOvFzNcoX6taNlHnlMy6tZ wHbuujCd5hhxqban34rtj5nbiLwLk09rtCGeSNI0/C1/kwzTKDRPd0oP1FsV1TBC1dl3mkMyHhCx U8doha+U1uhRl1/PokHq5WUkwly/57JzxeI4HqxcYOCS30tdVcRrZ8FWNJR1mGFrA/pVOcyioCJA 6M2KaoRJ1RaqNQswQD1exnQSz2sUcwxirca7jTSKR2FRZ96688ANVosSo+z9OQZxevzZHq7Rv3e0 U8dF0Ma7TvyVJOrKwfRevcIz7+VpFnBB9RHOyHJ9FTDUlj+2AhheqVTAbrFLGNH3O0XwSD/9hast f6PAWJQmWnuUN+gHuEbvr4HYDIX+tqXZyXgIQy98tmKi7+VpFvmC7FDcCyvJawR3cIMtBDZglOo3 7Gyf6y3a4+bNInikId9csq4XGAvvaz2jrNs/gABhi74lYz4M9cGh7uxMhvLn7nO7FQFCL89vyDU3 /qYKQkmoNv2Bjum4FluqZgFzGzdaeHTXblFUQ2OhybXLZo5RKqoZ0zgw1+QbHPshFtdq6SAw2xjC Dcn/6VQcA9KbF9VwTe3dJ7ixC6MkYfCTrZFGB694BtG5s1sU1fQ4r4/Wi8RCNj8QVVwCg71l7sjX M+yHxL36G5MkoP5bjlopJ1crMVRRzXMGrsbjYj1HjHjZ5QQwhLbAiPqH5tqyjSVGRQzb5aF+XCyO y2wxpzxP/1Kzl5hspGGWSqwvyOJ6NOqQa7hSfqhVYUD8j0O0h5vY4c9E7cSEkanKasrLwVf8Q8M2 eMSvZ0Xw+BOuuYezTCCb31OYbW9tus9kKwrtVKb93pETr0/CpP81OYzAUa8aG8zFohoDi2rYUoHB 9QKjvBxski+dy/YnEd+OZY5xzJdNa17bs7bAcDU26cQQ0XesbZnSqH+kOZMgoQ05wBJnvwqD4BoO GcoR1jfh3qVMYkmPwiinWSxHG6T7acSj0M0xqLZqOTMMbyFflt1jUfC/SN9/wb8kkyiN7tSsHQ3H 65NZVqs0WAjD8qKakajPhig6PwqjHCDY02YWeaMe/9bHZIbxmYXHB6mnawv5Wp9SNjpewUwgfUcm EDIGNf/d9TgdMtPmZqXBZk2xAnMKri5h5RXxJB70m2OIUppF7GJE/4aJCUk/x/jgqXuEr+ZFNXFt IV+XJ5T1/WfkIU96P5NxNp3sD+k+38yGMO/HVkVED2I+UCfzpXiwDWBYdZnh2Y0KQ0o5/6Yrvo0R /ZsG6gbNMbxP7z99/1wuX7WffjDHuBSBJ+dr8oAlw6H0bMHqw3s6v2iHNXmkEbsKYxpiBgHGRr44 DpMniHo2x1ikWSKI6Mmbus5Flqso18Hd/uzre4jBjJsL3fjGiDLnj2BOmSRZynWImHbTmPAXjq6+ OP7A8Cu2XsLY8HDP8QJDFQh0Zhh8ed4plPrMXQ43+DTLi2rCeizqn61ZplRlJAsMTN1zzmQzDffS EHfr2Akj/O3+VXcSGLRi5REwzuE3LAFGT2HU8yM9EQOLnIJFUY3p+4y/EX8TvMFcRbXfZGJThdL4 lWylkmZM3WcQwjZ7HSvWxvQtw9qCgdeh7zisRscVnjkarI9FNbPWUJEru4AYgTxRVENcM5u+znSe 5plAtnzMxY6l5Iut8lKBt+H0WNoLjVb/vaPNGkRIV/yLvAsTDD3aOT+OqzFkC9xO1I2ixCq8LEMc GzYe/1pS0VUbi/9TnUcfKhUNXzq2hbOqdCPYy0oYT+xRFvX+sQu60bq4no3rEX3PCnmSjnxtT1bl N3oq2zNYtAY8B7qBGLhb2CMLDI3jpqGowfs3EEPUUgoR/Tms7REaRO2l3ToJZZQehIfWVq9hQWCQ Dju3mJ1l4+P6eqZVhNK9PM3izseGxOSGgRURmqpgWWD8fooRPdi/qWp7GHzGW0dugLt1YkuPBgsV XcNtMv4B9tSY+hgxdQcHYmWHT0DId6pVNJN9DvPFvDVCM2M6tob+UFHN1cjP+i1/zXZ2MBMYbFB6 564bLz+fl5F0Fir6e3qLEXNNrGRJCuPh3B6vJcdyaU3sBhH9b/WKiD5vDakvMGqgogOMCtE/lpMS huFnbcOyV2ys7eHalb5/G1zi3972wVXr+G8vYlij3gLd2JE16CkYoKbDtCSUwQ1iw3jd71Us6+DY 6OMWKoURqmxPxuI9gUIOty8tcv2h4TOxbHOYnUBFQ8tot+IHrvj6ro9l2GRroaKmZzB+B4t4QydL 9/ttLd6KZafje+vZsNOr6JQutEYLi2oURp4izhh/Sb07REUlgzUNE3Qjy4IUFzI8abgGg4gevK+8 jCRcYOwYuEYvPdqxbFYfHdbTTbj5oO9ZPAt7vdMYQbGFykSMON/KBlHbeXx3PIq8rBuaybLXwV+I BvfxaNtAdHG3juV8GRpZLCULFYXYH3QjkN8234EBejkNjPQtm51PAr1v2aHeqMAgau+SQLcHfClV swAYagMXZhkulwIEtWkIgkDjQ0awH6Y/zmt71LSzX9KN9azJ1DYZc5vexUUDN+2sg6CHr1Lf2dCv ncb4UVFUgyXNmAkN0fsq6roxy1DKBO4xM8tPI/kBJ5jIvn4bd+tYRJWRDEoYl9MGo6Auq+fS6APD 4rjf8aBmbdYmUbO90a2I6Ht6jjFADFMJOWJgXABUrFbCuH7fwNqexqF+Waxhuku/q3br5ImFuDSn XIoC0I21eCVIoUOOrD810uFtw794fhrXW3pcZbBdZSmSXVNf1YLnZZv4PYTw7rht/HIJYzhqZO0W 0axgV6hYutnHUNqqKQz+W6WInv7lmrvK9m/G2zBA+/52M0nGo5G3zsP6qMk3KjDCfH8Kf15hwORa n2EE8iQGpfsZWXZetuOd/HAKCMw+Awzdz29Zmtr85Wec/8KMd+KvxmY06n8/jUHHRrUjR1OJhYpO Yet5fqOOGNAPIKgZx40YmGU40SmmubbmLPEfXWBf3lGfJ27hbh3txRyjU4rorSsa/zgmzZ4GA3NA 9+PtzSyNa/11PQTPvnJqW5qlWXpqgOKJMVzWhdpClXVKGMThz0y/M4ka42K3Djc++QVgFPtTBgsx h1A6yCCi9/sa5mbHQ37pXWfiJSPP/fk0CitOqsFsD44NGSOGJ9X5ObxIs8hsUMJwYGqYNtOoN/LO KQyhx6AbT+ypsSGThUuMoXTa+0D67U0TpjI8z+mdIxsChI4c2lFnXIUxkEWapadSxJpL8IsZBXgb 6KOXdMNOJh3Qjd6AQiSr/tRg3A1ny8FJMMe4nFL2PB6YYyd9qu1AANno+trqLvAMrau1ygCBuUWa ZaQWO1cIYOhSXCVCncRbKsaLmuGo1e8xsjvOMT4E+dLm+1MWKvriCLfJrMnDLBl9oscQQNbTUc1d y3Bt2LMq1tpoke3RZXOkxr9lqPwGCgiexFsS8/Go+YHRajchoi8SCyBf9tIco7S9DrfJrO7I702S cUySo23+dBrr/vs2tMbIqwoQaJHt+arsjFRBg9kwMSmKaRZ19mwplG7tad3khgAAIABJREFUHxqY WOCz3TogX9r6vKimbLCtWMMZdjjA07L6LwSXk/B5mOeuQSjd66+f1g2Km/UwzSLjVzz8gxmaszQL YpSq4L5FPPLEm6LHJ7PEQn8dd+uYpzBM1wjY/6a2yWSZTGjwBI+9dDSAiH4wGUdeZX4j9lWaheVf T2CqlXpMv5nqQOCyZ75Ewu/wiKdJkVjo3wmefjCr7ckWEz1xrmjsaYzo33UAIwoMJz43iRLalOE0 TSvO35hley6a+PVTiapmKdIsLmCI0jqs4yyvxL8J8tMLCgx6W3OPV4vaHrYonFjPgmdSHaI2culo F0LpkPrPmXaI1SxDO4vrVWNjKjCCrjXxHLaOKiMp0iy4PH6i6n76Zu2BnvbAMy9qe2j4xLcO1XKw xK/UmGPsZgEbFdtkLkMonY77Nf9IY2CwXWKHlyotRWV7dDyTVNYKDJVmQQyvlGaZZF49UiVGl4vd Oq1wzbTOFbU9wSLNsj3uMuqBbvCU3pQxn44/qdM7GsuGoo6OerXB4hoOel+qYsLE04RUmkWqk3hL M2zqJXTfxxTcmzlGU+OW81yeghO1j+YYz0NE7z+D22Tw5LPEsrOgHgXrF+0hzLAHeqXBwlC084g+ L6qZp1kQoxwg0FGTtT1lsEV6NlgRDi/O+wpriyFqqKMsn5HvjPG7IhIf5pU0rvPL1jVvEgXmYZWl cF1lewBDnRxmeurIiwKjvGnoW7gHZ8n6Js+KxIIMbJhn1nIMr7NQUbPdYjaEW80ozBI5oP7ahYQZ /KZ/FdcyaL8SoyuXcgyI11Q1SxaQAkOqtY0CAxPy9tKXemCwuYpCOGldvp/LF9PfXmAQCyN6tU3G hqaNqGclnEBE71lipz6szJnzWKVDQe7V4nieZlEYahH0yTmGCzeffmc/4tEgV9HYtA9nu/wCs+QE rto4w8JE7793tMuewpPHNrkJEX3nyNUuT+aHcp7EcPNsT29WzQIe+XTWGqVNQ5i6zxqD3rzEyDPX j+vH+TYZzdpcYCzhwRc93CZzyd8NrCx8vn/R1iGij3AthFUECDBENfyKunlr1PNdVIgRopouhuhK 1mLDZqBz89tKN5hGD+5dXbVwkSteBtdwjgGxPkb0BugGvVG3bG0cNW51YEyl9C3d2qmoJQYMw8Bv dpi1RlttTNEQo3Yyv1FPW2zUuqvzYpdfcJl+en/Hsr4JGN7eJFl4X8+hwfp273vTFIs3bj01GQ/v ML4DAhK84j/3P1d2CqFFtqeoZgkvSL4EGPyhTUP1qMUgQNC5m5cmwmcOmbO6eg2sWnsxLXlfzxl4 8AUbfHeSpCGFgTlNB7f5+pqzF8N41a6d3nqJ39JLeWfRGrjzRobrgIFFaLWSbrzcajH/TavG7V3U jbgeUXACz53bMmW4Wo8GC+9r2VDbZGIdU/ejezXfqiWhWLpBrKsvTkKteohi8FrCQLOtgVulYriy fP1nE26+zGOeqZpAb0SbcFnw9R0TfKRuv6wbT+C+NsaNUeBMxrFObz0Bvpk38A+1vWl8rQKDKgxO FhiBC04gz9MsnixhrJugG9/J4vUUi2q4NvIbcFm8ZuOhr2H7+wtLIVevqIMvjH7D2suCdOR9DSL6 IKG3z9k8GVZ8J1feGsKYWwpWsPA6YswEZIbhnFPHgPx8KergF+9oJjmPBd7rjunBpaSkGzYzlGfe 8C/5FsP9KcMv21JLRoFhOReHw9MYXYUhGzlGjGIJGHF+pgGo6bQUSod4Gg9IIr3JMfGxCrETxrDq W6XEasn72oWOHVHcJpNS/6plx2bavcVWASfqk3e/NjiNEeQYYY6xr/ZhZLNVYJSy8jEgardO3/Mv CwK0fynetHFjCPmyKU8mFi6Nm2qbzA3cJlOHgekOhwehucPOj6nfrQcVGERhxAoDpzRMsxSrwLgZ oiRfaWygwZoXrR0H8xudzF//EW6TUTcblORrY9Rg8nBHrtRxEaftP+em6e16//2X17MhHe5//bTB HpsKQ5g4RPEbrk3EyJdfsWTnfGmtbWQwv0X+o7PCLNwmE7/qH2BRzX9SEybbWrg9eMi8c5exZxvD LHiF0r8wB0lsjD7SHbsepWy7wlKaCgPTLD11ipMri1A6359RitpwW2572Q54LTtay7fJ3L7vitW8 foO/sJAvs720s/cPLNS7Q14bj0bd1s+34vE4NMl6LU35dsVJNZ0cY38MnWKo1ApixHl+Q5aPiDH9 Gkz0WZh1kzfz00j6IXPFb+f5DVlbZAKJs/yl7GdhrRVo8cpknA67w00+meCZvM9lqag4+KIX2wqD pagbKqTHcAktBfNKXyqdRuI6bCd7PQ23w8G9fLsSBVpx8UKOUZIvZ4964x6EeOv/k2btDbNhPLzk TPEAn/rPMZKswADXi+Z7l4o0i1dg5EfElDAcm62ljeie/tH5WL3zQBXVPGcT9Xwpht3LaAgG6x5a mu7btWnErqVHdngZzyYm27ziS20wv0HnaRY0FaPoFAwlWbk1dtCRatKefljLvycXv6PYFU/OTpwo HYE7hGmSrskDcCLoW5q4Jupd8MjXstAd+t8PrSqMIMdQaRZ1SLOZD1GMfphXOptlMh53wGCbPaI9 qTDEBXiWrc5C6QXGJYjoTTDYG9mAjrzYvSYb6egj433okOGoUW9XzbChwnAHRZzSwTPnIVizoWHk iSNi0qgZ9FtED52rRZyC55kHFftTfpe2uLHC5DvpMLpfT9p/AxjgeNy0tiGUBgekampjLlVpFreX 6xViQJwCoWTsnjgiBmbUj8xl55sxj4uo7a59aGuzULq0McQA51n7GELpqJOCkPtdtpTEddrxL8lB Gn6j4ryvHpgXzdMsPXVSzTPExO8fFcoZZOWimr7fPFpe4hDRFyXNENEfb67Mt8ksVJQ4Bgt/BqE0 9SBASOgwJJvx0xEujoe7SVZx4gRWsyj5gvBRHQq0apqY7WHoUskTRTUmecLRvpNhgFBsDKEHn2l8 FkqXnEDHpp1Y/0fwzJ+zASMa1vub4W6Ki+NDW06rMTpUpVm6kdqtptIs6hxJtiIfKqrR7EFj2ONR pwge6e24fv9csU2mtDHEzo61B8ZH0reuWVsywQPP3nrCBo8Yc18QR1VZioxpnmaJ1H3yNIs456oS tHIZyd704MVYx9qeRVFN+I17T8y2yZSOwE2DCyMDU3DD9iUYNCGEjMbRDoTSMoVIcrUSgxl5mkXL 0ywxYuD3DNYfLqqZHOqfGljb84PijIVmrL2CX2qjfjmxPyXY6euYgkv770FEDx5p0OprOxwMlraf qzgwh0r1nc/yYm4bszSL5+DXc7snjohJhzd0CtbGrd1iY0gjXjbxS21yjEUZyfO0wSxtV95M84ge 9LcWHWuXwWAbEa1VHJgzq2ap4Vchqr1L8/wG/lPOBEYjr+s3VERf5L5uBo5pzc6eDU6k4Jj90a58 JxqMsR/co82vjsOly/4lXks/0UdVnjnLj4jBNIuYpVliUmCUwyVK91OpORjRF0mnNzSwzaKMpHza Ki6OTz+6IJu0kyYy7RNf20oC+3/tvxOvgLlWfH8KhktxfkRMDwMlhQGmWmBopeVgEzxzx7N7ixSc t+LYvJCvsISBupH2arLle7uJHEStD/RNcLMHva4G5paOKzFM/CJnkspIle763GTqZBj8B5eDyQyD YEn/t89HfDuc9cOtw5f4ar6QUfvHUlHNHrCqgy9eONqV+xOQgneOTL4Jltu+tVz1xSWA0cQvckYM VVTjxwSdwQLDlHyGIRwHIvpuI+IbH+TTiNDvHNfvL9cRgxvZwglcB42LKGCQLX+Xn5uMPdk9NGGK jvW+Z0lWiTFArUKM/IgYTaUWc4x882Nxc1sd19npiSuv+3k/GJ/eq987dwkxAvNyyQnEHYmtA/Km ndCb4SrYyWRwbEAonWD1qPVEZQwb49qrwsDEyhvqa1O4IMLNF0HnGNfVwZ4BRPSXqcLQjPj+Fn1u BzE0d3fhBNZHPe631o03siT6qNY/umpPk3/+A77j2LiR/E69MoYNVTXLDMPLd7HPMNjyHAP34PRb d3Th7Eb4R7ZEGdtZxaMe4DKnlCWu95ucXLGbr2NEb9BDzXGSOORrrrMXXB8HlyoxnjAxvzHD2Ffn r3lqZLioYzMMjt+Y0zbwGJAsxT8Gu10OdqKKajyYMRZOoGbq3P5DBhNQmMUjEHIXQktmP9P217Vp qlV45mgpqoxkhuHL+ILkTyJGDEGCPrcUUQdRspZ5tzjvS9TSH0PfGf9ve1/TI7eVnc1yKeIYEJr5 2EhIuyjMIPEu04IApxUzpIMsvAminxANlKSX6oYWqoLYJHt64LYRpSljNjLQaS7yB8aYzTuAoGa9 lZhupKeZ2U0AxcUKDTEJFBcpBlOXqVu8OeeyqshSsduaAOPZ6GqlRhXr4cd97nkennMuhj1UGKcV 1aa23qeTSUwkHxX9uDs82l2jbPVW33/YyrGUvg6Gie+B5zDgzDJGFISBN0cqYTSwnH8/G0z7fZHm CF8H/3+EESt/GFVSmtULEJREX1Kp/6k6wRbA/d2PVfZgCyJCzdi8dqai36zAIM2MCRjrYlKNUPJG vo79Nz5KY6Po9yVs+Ke6qsVowQm56HcrL8e7MGG9EyYdXXPU7fjGKGj2DpnbDmHCamtpchYMXSth wBOb85B7TcMk+JK+9LccLOf/cvXmMUN/4w5MhlONqpIDU8tzflLCuB94ZOgfsN18y3cgShm7d8On LGiPA3PY/+ezYRhyCaOBPc8QRqPYyWV+NTpN3hDY/4H8CGAEhnRkH3yl4etguHsDrV2B8aUIUlNh Fk2i/mNJ1cU0fc522/AIjYZuM1he6CMOw9ybw8A+E3ST8tfBiKSEcbeLuT2OI2jrmgZoLxrSyQst X7l+yHfEbpdk/jZwFXAX+7CTYDKLsybHSRyLj9orkzQaNHvL9FXYLOaggBFP/Q0KAXnO6zOy8qZs QFwGAsHcNDpHGpUgFPG/JFr++x1Lhp9+q5LgLWPC8Z8R9kEzwU5f/kPzxRZ5787PBdPI0qR7bZk3 CpvFJAUMi0sVQvMiIMeLXcK4+VTKjvYhhFGyfpG/4eHr4Hfa/B1dMytfZMhag+bHJBebySQW/cjV 0i2INIKm9kTIkriGNwqbxcTeLBFtF81nCTV5JEyLWoAZDFmFhf4SHZA3s0gVsBSkhxr2j4r9/boV FlWN9/SsF8dSb5ALdyNg0vSHyioQef+poCf0+jKMz7jNYmJvlii/Nd2ql5q8ZyNmTlwpnw3sv0E/ ygaj3WyE/gYTj3kaSbGpTVxhUYV+dnnsPe/aD7u4GUQW7qU9J9+24Pm8q22xRs1M2Stg9BBGg6sk B86RR8IWEnYJw8hDku2mg6ibjLm/sQf0BTOlyWGQTiWbJfO+NfKfSrbym7G8nU7SQRr6TBfGkZBC qF4HY1DACPCm8P5rRMbWZ5jNIvJOvHMY25O4k+5FgeR+j5cJsADpK1eKDOW8UbHgUs+ChV7eNwRB Vhv53fhuGPWty1kspf4PyaXlCesRncOgd+FqmHyz2gIG36uMXq7AuD/+xZXI9v9BPpz6G0RSDrV8 bVqRsVPJZom8uC8p7EEuiMMvBPM6vZ6kw8a6HrM06sVyTbxBFA4jx60yeTupHQdhGNztIeuVCXtv FL2J1r2kTetTcungVMuFab52ZU2RsHndn+vsIxpII7eh/ThvJEks/pxLuEGvpvesl1/iMBiHgR65 hDBcQ8N5Qr5VgXEH97e31Q3LFJrFH6WTZxq5OGtXWMlmAUW/ekLYbhZHqbXl7DIrJsHbrnMNn+Rm VBdvuAWMAcLg/I0wQJ5gYRCxKjDkvvPwyYoeBfnmLMH7S2IG08xqllUUvfo+ffOfYraXJiNYKfsh a941GuPE/yF7oced2sg8KGDEAANJw4KZQtsSuj0Ut7euROZHh23lQRbFE3I0hRFTTfiD+1MYJYtq uk+7WCYTDVIiZ1FIxLuPWxMCEi5VYzqulUsmwpCpFjG0tCy8GiBP2iIAJHE5YbH/Bm18lEa0k00T vD2Sr628o09hVJJqOh4JvKfob+iEZaPUlX6IrZ3SAUsP1ZzU2iwypy8mR9zfeCA7Ga5qgsm3ty7p ixq6le3sRaBTkqj4Y4/mgj5r9ZD9+xxGJ/WCp6DoQaeoIAHHcSPqif0n7QwknH9kXj3LZjGZiD3Q 8Xj2HtAXT4fDpBr2ZiXeyKzxAKt1NgbTpJp/okaDzHJ7Kix6P/KsQ5iwjrYFcgmeyisglIYH6zrA GDqaUAujhzAaoPH4m1+7iyyKj0msMMxRnMO4n364gf4ZvXmcFn88oVd/54VqOi/DeNv/B0G7qLN9 umXfgONs4hmk7hU+Yf2fi3XPBtosJltn5C85SDt2kACsaSfeygp7b3gofYFJNZiayP/k68LbX80q MrLyXZvkWLrhUvZ3WeL9C0tA0ZPGhAjH/WvMzUbunVqbBY0MXjTEj23TqdtTdOJNqrxxKD1ZMTao 2Z6lkSgXv3s6g1Etk4GFfuIS9tE4HXVZ0j86Ir+Vk0uJ/3EubKe92pCYYZESW+O9WWIsgpTRO2+Z RSfeyk2RHesNQ6ARLVKaEYb113Jr1nu2UiajguzP3KuYYpQMWDLs+8JaLtAtIHLNaDfHdTAmDEIl JvA0kgBLyfGm7HBjgXfincPQtAb234jySTbjDeGFZqhvFzAqawpK6dS7gClG2xkD4RqIP1Yl2hkP mkdHt7brFT3MO5M1Q2RRYQqDSkWqAKk0NwBFv5tl1t2IjrNpfYorENVocSnNaGWFxfqUoW8xu/+x ksHiHQUbvcdaoej7gkHPsFl0E20WYNFvIQy4Ka42hVHVKTr2yfxABN4YeMUfrZgqZKVgUbcCA5tF +7bAbPnaYScXSNpIwxONwgq7MQyko5rWUige6cxmcdtYpysT3sGS9yWWqgIhdUDR73n0znHBG6gj fvfFO7w+JW8eV+pTgFyclbaJVX43iKSS1SwFzXBF7YxH7rBfm6gJi/vUZmFNOCHbNQlPtucwzIpc uhuhQNjZo3/xScEbMcBoPitYlMifVOtT9qjx50TeB53yiSsfwX1I/7tH/8UxJuPGqC8u35QIs1nm NgvA2G9gftM0jWRSTarZ8J3MkdbQ35jWp7wJLDptmGPBH+cwxCNQ9MdExCo/tzn84g2GHSfooO+o 8VvjuAZG1WbhuTwfyrNsFrMQ1jMYQEoOKnrMdOKXiKycUHX9i2I3GdGoxKKCeZNCZN7bTZMxBj7S kbMJ2gfrUwRzHGzUw5jZLEUnXh6R0+KmwCHfmD8bEqy9+gMCJ1qs/oFyqh8qRX1KoNKshLHOk2q+ TLATb8zGru/s/r2ewwMyBFrUhZqX4x5ms0xtlmknXh6QzmAErTkMEIv4jn6Xtgkvr2tkvnKqrhS7 yfxxVom+1q+gBXdCJN9SMwh8otNm7zH7QXscurK23qx5Oe7xbJaKzdIvuu0jDNQsFbl0i/KOmgMI tDH6Is2Rf/DM/ABhkJXfTQcli2pNDybsAdzGT5/oWfDHoNfCA+auT0jTd9xePQztJZslWC+yWfBD tHR76GaHK/pA3xggi7r34IRfQBAIIbFr7kaVlGazyy04tqdtOaou6JkbpicseGRgac3Ae/YqNgvQ TZHNwreplSswfod31ER/w8dEl6FvPydmvHLbgeCk63dLJ/C7rkjVFZ1Z+pbvEFHVxSQN8saxKmjp MKivT3nZZokl3MUFk2pMHvzMYdwT7cyxtf4F+ZOI528c2SCl6Tv3cTeZWP601LAyFYl+Qrm/4UNU uaa9+F4cNwd9QRunwfs1hSHLNsvM7aGNYlubOYw7e3Z2tGJim1NgUYvKGt8Rda3jWEhfnUpSzROR To4J+/DdJI0aR75lhreI20k+lzR4VMSa7Z8KGKa45PZoPKmmyqLyDip6pl41OpmWi+yCDooexKOx ytNIKryhGSJNeoRZzRBWMydyzfDbujDJIHb7/e1IrGn6OoXRLWAQXjRUuD2Uq9hK2KOty2TyUa4T LFIGcnUnx2gmq8VuMjsV3jCyHg29OBd3u9S9N0wDOew9hogc5pZobLi3lx/RbgEjLmAEvGiIzLJZ ePHjHIbJ+/bQ/yJXgL6Q5caFotf4260BKWFspy4dgpaSug9zIY24sXComptX0mei9jb5qxqbxazY LEU4Xro9AjwglcicSMAb2SBtBkzhvYW4olfXi7qIzZK+3o1cpW+fuNJvrl1d6aQ07IZwIzScuSKE 1BeXFX3VZsEd6Kduzw+42yOy+HIJo5P2YKFPB6Puvxf3QfT1Q5NNy2TotZI3/nDofetIOmju69d2 HH2Q347DMPIPGk/0Zjj0crFGIEgFjF2EIZgLbg8Ia5dUBMIoAN6IgjvuZZV/v+c/LneTYZXq4O86 e5ZxU5EOdQFUksBu0+8M0qHb6CtSGHlEqhEIuxWbpVkUqAAM7vYISGUljNvDz284oAflR1ce8vMJ /AfPzPzyFEa3FAiyJgX6qW4eZJY4dAVzN28MsrSRwMzFiPD9GhhBAYNeBxga40Q0c3tgyV+lFSew f3hFlRxRUt8s8jeo9CXuJjN7HVzJnjVukg7Q19+kwSi1Eg0imn8DIs9GEXu2He3UCYSp21PYLNzu msHAOXO5AkM+UgVDMjc+MIQG/2Mu4W4ywvYSDJX69N1jzFgARd9MnJB9cFt9r5OlEYv04K2sBka+ WhgLu9ztgQnQnLo9aBEToZK/AUG4O9mnUZAFU5sF61NiYSalKxM2g9WyaAPSIXLih0T6zpM3tgnu S/rkllorEKwCRpe7PRqqIix+MUxc2YhbuRoG/duY/W0WxeMkK/6I5XXurDCEVDrVjHza856Doi9q EELX3/1cNmId9yX9Ns8aWoLhljYLr3lEmwXt2UCjPJtlDmM724nv/c0YSyGmGvanRZmMU1yNyjv6 oR/v+E+xDQjWIKRhY9hz+0db6gaLQNE/qVthYza3WUq3R8RdtwJGiFJV9DvPRPQ3bs6oFVj06m/P NWxzDuO7IFLWpQO2b2w5N1iWBW+NQiDyT50NFo58x5JrYGDYA/SFPTWRNNDtwe4b6zLDoqFLlYU+ euTv8m4kj2ZSWleFZ3MNOz94Lh89uJRLbWwDwmsQAoMFV8bRz3zcl5T580SPZbdHhMeauz2H8GwU bg+9ZMIiWVX0B/KO3fdgjZu1enh8KH41axHjljA07T0lv4iKPomOWWKYR9suHQ8GQ489m7AymWVB 0e/NbBbMMMINj0jOs/ICtFkqGx7JzqG8zruRtKdOYP+pJR2+M231MH9Tioq+y40F3KoDaxA0R2nk tAHBB/tAZ2Wz1QUYg6nNssFfSDgDGTuwxRoq7IWdhjTz0kq+YmI3kqmU7j8XZHW6cUmgzw+e65lH EMbeEGsQkj4EPm+w9pUEHm8IfHbnl23Z7VE0eoFfLIjoCrcnn7aImd8U0xDeyy/SihPoB7+tGesF i1oVGJ3UI2P3Kih6rEFIhv3I/XvTIglMdsl53NL6dTC427POi4YIvj9AGOQi2iwmrT4b+mQnoVYG ij6bOoGe1TaoypNqSLl9Cm8WTaLTC7jFD0xYWNXipvdYJJt0A8silJrdZDD6QhhXce9zDHscxt0e Y5pGIlZze+xsbKUR3RhMLbieQDu0oK/gdljCwGbRDP0Nc6t/gwnjKLgX/tzMfmTeems8FDKm1cEw 0WZp9KY2i8OcbNrqgWLKO5nDGKd2lrpvA2/8x7SuzV3N3/2fIhmvEUYljJuOTRzbQt7wP6EXAfw4 DFj2M81SxtUW6Yu8EUzDHt4ixkG3ByunimwWZs0+yftveKcidjGasqhAjWbBG0Qso/4iqUZb2TSx fdCxKytkRQ9jLes6vSe6ezsktTAkos9sFnjMHLTgXHMKQ6JzbqS+z9uc7s27rYK4V5un2NwAIiRH nl9qtmd4xDglGs9YAL34nql+L5YwXbKvi15UPkUL2Sz56hRGgxYzpXB7+L/S38ZqHZBLO1gKUcAI pMdffO+Qt4gRNFktYXx/4hF6DFFWGoBAGPYF8+hW5mVJFPk/kmw/rIUxYBemNovEs1lMbFuIO7FT c8LKwsBcVmWirmyKEBvzhywXpIOv2iq+yIhXDUU3y6OnPsl68e5eFOjk3siVtP73OwOSpGkkyLLs 1cKIMTWBw0BjZR/CYovNWsRQUZ5/Z2XiEH2fiLRTGAvxqv/8F3prBcIeV6ekMmHX3/fJyPtyYPd3 1M547N50/N5PSHtznMWSqmp2LQwXtU+ZzcKbbJEpjHhub6Cf4YBcGot0nHBf1O14EASuvKPLuZCR ctc43A4HDckTIjvXHHVCgSzE8BN640cTGqj6LF3tZRgXZZh/JQwe/PCeTvBEC8r8UoPwcbJkN+0B bxxqaISmPQgCv79myKCSk7A3PzghTTQkD4C5r/uOju8PmuExa3xs5EK7DRKrFoZmz5Jq8KbYPPgR it4sVJhrIEbbd3g3Ehd4Y6jxMpljgnv5mbIFMqQyYVna5bvlsv085e2cMusfw4TtdB39clbZS2Ap m2XB7SHYfw1hQOBzY57aBucooS/qP9LlTzBD0oLLjvUpqtlqer5nl5eaRa5ETPQ3Julo+FQElfTZ IGGNpH8VIrE0Z7UwIPr6k6rb496ARw5gtCV45MvJRWBZwm4k6qp244WGdVzOPtxoqmqWaNu2XIHh HQIX/RkEK9g+yJUdQf7sVkLeTL5qpGG55eUyjAW3p5kV/sYtII1e5UvhrpMd2apxgXc/c9uyJitY nyLj7ggV1oBJrxb+hnVvQMcNH1YX79sddzvBrES7cvPOcHu4E0rkadEQBD6S5zvlOe44RNs38oAn au7gXtoHT3hFhqap8yo8HC3lT9EXZR+IQY6tw13m7a018sT1fVt2Kh982e2RShiYT90oapcEWZLK a22vykR/gDtlEG7CWNQ/OcWNS1qqrrcrB8+VTkxD74RI2GD1RpoqpQ1FAAAJ/0lEQVQGph8+lM1N 0QHKr9y8EsYAHlEvN3tywsIi4QxULG3rhpabRNLkykrhKBKZ/HQckndjU+a7yfgxPKsrgqoTQqsw 9CRWIu9pLO18etRUs+yZHKWD/pEFR1PN6t2bw4gLGEkBI+DKlVJ9FSd3oKqqUn6rpYtA0Wk4agaa jHbXfZ/8j8beWdFJ2ZyPw8jCZ6tD/2nDX+88lY50CtM8TYd9S1bVCuVXYRBYO3w48QKGwBNpKDUv IQxBh4s9/1qutAck9aJBtPv50WXeBsSj8JCsKVlSmVA4Us8TgDfEU/2aK/prxkY3TJLoPy/CzSML HyyvBtos2KQnBRgwRVEkoCQEGLlASGWloO0k6Ax935W7B32eRrLbQ0ZsgEKOooWjhz4skH+gmyek 0UyHTe3tOIzpOFAIidN6GOEevxpMxKvxnsaFG+5zCsePt5IkKU+TJmFwA2KOD+RHyrCwuxBG3kwi zxsuHH3kqG3jOTWPx25zHDSdPfp7qUGENk94r4XhdQsYXbwaRRGqjNwIMHbCsFIJB4i9/YZjaxuS slpIDXIJuCtuhr7tsMWh6u23BsTshUGHBtd9j128i53x0vClyzaHYX+ocxjkLsDg2XcEYcBpUtGD 4Zff8ezDhraSR59RoVBo+Yre0nY8T6oyKB9Klu5Esen5rpE34J4x6W5fSMKFwy3A6K+u4rOBbg9e rwC3wypgBEjRVcobyuqmcTKJgswtXDdmK6eq6PitBQrFARe/Fz03/f7PnugSiLVc+vFpM/L8heNV YeTKJeahCGhyGPD3HdwDlxiaBcvEwmnmik62u+MwTmcvWfwHv4BoqgUry0sw4HHZ8Z+a/tE1Z43F WRRIvQCC5kUKrcKgbZffFFApIbcgc5lvxWusQ5ykLpwmaMKk6aUh3QimVOg/fyEYqtJmS8OzV6XH pg8C4Wcs3o6EUdiVbXnpqpW8kQUFjAHCCDC/yQcYzVxAil48TbjUTW8Y5Tefz2D8N7mkG+0F7iqG LSuSbp7y/qKJemtlHDZlWVXMlz42hwGzUMObIhMzKnY+RxibUi4obbLINfBZuNR9L5cP+gUMj7jr hCaLk5CPQ1X/DWp+nuGMT52raidoqYq+dNlK3vBOZYQhYdUjOiUPZIAhQOCjV8NLPlLffyQ5e7m2 PSxg9KiQJVk4WoYBqh9EWC8NeALLrqNYiq6XRVZLMODpFRFGk9khd3tw94lcZC7dwsaLiwMvtYkb s45mMCCOST22PEiWBsT0QCBgAovff3xJWTqrKgxfbjXw2WiwbsgVmt3z8fVEA0B4L59mS1m/SHFj 1rSAceLe9rzwpUnIxyQN3TXgjY+fYAILRByw8AyWb145YVvK5k2AsWoC7+PBbV5DFDfTJa5h7HE7 6U6i/D4hUxjNCNRkvwYGi/zDC6bvXPOvsXg8+oWQ4U5t58BQdJ7EvarR73DVbPMaIteroWgGmigY h/ndOC9guJLvyHUXA2dsSzB9bcv/mMWdcYwLjz9c+lSFN5IYPYzLMDewro/Z2COFNu29ZYpmsFq7 18N8I5jBkPdb2tKn+PBV5ZZ5qm9FXbardEDGey8z6AIMlkD8ADCEPV56gMVMNraGk53F8LIYoX8o Rbn8OeO/nQsmhDFaLYxcb8fmCUQiAyo6KOOrir8GBjyJ2PitESJ9WQgDng1L1VqLcVIxPIi5kTeK 3yYgoGsYlA+MTuTjcTLBorb/J/t2q+asKjAgZL9sTG0WfC2OMKig1/+A3VIawBtK4QRabVrHoAUM 4DoJFnqdCGlkaXJriUEXYTCnpbSmSTWBgjAkGq/T+h/4Ah5o5A3uBFIhJXUMWowwskHM7ajtRhZf gJhWr/tQBQasHSsm7vlU2Cw+xBtWBgo9rfkaXmosDIlk+E98PUzCOu7iI7Kdht//1FnbnsSKYehL DPoSjMdt4vKrEfI+Qr5rIjcmdRTN4Ow9Me8knL6syAu9+ukKY3iotiVny3+IMp7Un1UVBpBsUNwU zFJgfpPF3+lF9ac5CSNfzO/+RyYXrptn98+CAYEgkYwk8o8g+oOFp/YzFRgZqqoSBsR3OxEq9Nrv gZhs5Hd+CmIGm6bKRQ1T7cDoZH+SjaK+tRWmaVT7oQoMmCuncnFTOAxQjZ4sn3Gavg0xd/EiQ7Bb WsULWhpwA3fGEIuzZuiFtQvPIgw4Q6m8Gh7EPi8pzeqAmFvVkLOoBExQxwWzkYa+lSYUE5vsqiI/ C4bttJp8pnAYfWaBPq8YQwsjB8mzYuhHEKVpSllHXTdGvn1wJ8gnrmg79tIquQyjD4vsDAYcl1wA 6jLP+IG8naTudgbPhAWTl5zxqenptRTJ1ZSmDddW/noYub4NEn2u6APgRlL/LYaBYOTeB97IGzAH a7lgPmRF3/uJ8xBCa2MpFq6BQUkWy/ObwqyE1k9yPkae/+heMtLi29kZT/98PNGzXqdvgYqnZ13c BRgQHu3NrwZthFVzcWnY0qo4GINYS8vk+foBgaDbCS6Cujnz4lZhYNO8HY1fDYKbs3ipdyZFw6VW FfFfKdzx6Iynfz6yMDq9FujtLD1r/VuEAdPpcgEDFvodD37gTIrmMzacYP2Db2vnw4BAsCUIcE3C M+/xAgwQpwqnL70Jug240XHOPjaubnresBf8qPph77cECK1rYtBaGHCGIHgBxi2TBVJLc847PkwQ d12XW0ZtALEw+qq+iTLeeTUYEBZnvYQXDbGGrJrnUTTecf+yoCpGbQCxMIDrAIVf9Y/Pg8GAkwKE ITGystrOz6NojLllAZQl7Zz3IT4oXgtbOuesFmHAp59fh5uCbxz1qrVeNyCqvAqneT51FTDguQAZ f85ZLcJIPf+08DcatNIevX58AXOFZOGZk7Ay4I4cqnWhdT0Mtme3GggjbmaJ9zXnSdchUAq9s4m2 HJEt1cj4s2E4srKFMFzgxjMWwxIGSRbfnpwzZHWdnHdWL8F4ouoxwmj64TnTazoQxTlhV2XkcNhz b95LMFBCyhGLJcdzvvYHUAeeO6dLGO32kjlxHgx45CLMZpE15+t/AEJ/+fw5PR/46vWXgDFJI283 Yk1Fq1dXiwMd+FdCwSr1yK8CAzSyLUQEwjrF+NpjA+meExctwjgjFD4LBmhkZcPSM/oKx8/b9FVI g49pvsmrwoBFVn9DAOp6lR/AqP8Vx1e/HAx0gIVrSXhO+FeONPya8K9yXPOXg9HJskEKuuaVDh7V 6dv/y3gZBsNsAtSMr/TtryPa/zsM7A8OfPBqP+D8ymCMfAj9Xo0bsfnnrwoGSEjtvMjgVzOWYcjq 2X7aNwgj1/Vz1+RvCAY9yxj6ZmFgSPVqrPErhcHCs129bxJGZXeVXyeMmjcGvw4YzDn6plHUwvg1 jNcwquM1jOp4DaM6XsOojtcwquM1jOp4DaM6XsOojtcwquM1jOr4X1ZUDZorgGiLAAAAAElFTkSu QmCC ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image014.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIf IiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/wAALCAFTAqoBAREA/8QAHwAAAQUBAQEB AQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1Fh ByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZ WmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXG x8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/9oACAEBAAA/APZqKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKr3t/a6dAJ7uURoWCDgksxOAAByT9Kzn8T6c2lWeq2ky3VldXKQLLHnqz+WCOP7+B+dbN FFFFFFFFFFFFFFFFFFFFFFFFZut6xDo9ors0Znmby7eJ2I818ZxwCe2TgHgVnW3iaRLHSLi9axk/ tW7+zo9rMdiZDFQCwBY5XaeBz2HSujoooooooooooooooooooooooooqk2r6euoLp5u4/tLsVEee d23dt9M7ecdcc1FpOrrqc2oQGLypbC6a3cbtwPAZWBHqrA47HitKiiiiiiiiiiiiiiiiiiiiiiii iiiisfWdKvr/AFLT7q0vI4FtFnyrpu+d02o4Hqpz+DGs7/hGpfL0LRVjRNM0oRzzSIdvnyoDsULn pu+c59B746miiiiiiiiiiiiiiiiiiiiiiiisnWNLuL290+8tZIUlsmlKmVC2C8ZQMMEcjPTuMjjO RmWXhzF9p1qYnTTtEJliZyAbm5YHL7ccAbnPuW44FdTRRRRRRRRRUcVxDO0iwypIYn2SBWB2NgHB 9Dgj86koooooooooooooorjtM8I3Wl67Pq8vlXJR7qdEVizzPI2VOG+WNlQBMg8jgkAVreFdEk0b TpXuipv7+dru8KH5fNfqF9gMAfTNbdFFFFFFFFFFFFFQvd20VxHbSXESTy5McTOAz464HU1NRRRR RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRXO+HLYWmv+JY0tikb3ySiUg5kLQo W57gH0roqKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK47Vmht/G9lc2E1te3rSpDdWUiI0sMRH+tQ43I FBJP8J3HvXY0UUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUVgWFxqsfiu5sJr2O+t BbCZj5QRrZy5Cpx1BXPXkbfet+iiisfxBqOpaSkF/a2gvLKIn7bCikzBOMPH2O3klepHTpzo2V7b ajZRXlnOk9vMoeORDkMKnooooooooooooooooooooooooqpqgvTpsw0+4it7jb8sssRkVPU7QRni qvhjU59Z8N2Oo3Pk+dcRbn8gkpnJHGeR9D0PHatWiszXfEOmeG7FbzU7gRI7iNFAyzsegUd60PKj 83zfLXzNu3fjnHpn0p9FFFFFFFFFFFFFFFFFFFFFFFFFFZ2q+INI0NA2p6jBbFhlUdvnYeyjk/gK 57UPH13Db29zYeFtSuLee4SBJLgpb7yxwu1WO457ZA7ZxW5oviTTtdDx20jRXUORNZzrsmhIODuX 69xke9a1FFFFFFFFFFFFFFFFFY+leHItJv7i8j1HUZzcFi8Vxcb4wSRyBjg8AfStiiiiiuTvbK58 I3sur6RA8+lzMXv9PjGTGT1miHr/AHl79RzUFz8UdDSSFLG2v9SWd1SOS2gwjktt+UuV3cgjjIzx mui0bXtP123aWylO6M4lhlUpLEfR0PKng9a0aKKKKKKKKKKKKKKKKKKKKKqXuqWOnS20V3cJHJdy iKCM8tIxIHA68ZGT0HenX0FzcW2y0uzaS7gRJ5YfgHkYPqOKzZb/AELwjZrDcXkVv5kjPtJzJLIx 3MQo5JJOeB3rn5Pi1o1vqi2d1puq20ZBzNNbYK4I5KZ3BeRzjv0rpNR8TabYaRHqUcv2xLghbWO1 Ika5c8BUA6nP5d65rXPD9zN4W1rXdbZJdVbT5GiiwGjsVC7vLQdzkcv1P04rtLCVrjTraZ2DNJCj Fh3JANWKK5LxB4yTTvEumaTbXtiu+7jivVllHmKHVioC546DJP8AeX1rraKKKKKKKKKKKKKKKKKK KKqajqunaRB5+o31vaR9mmkCA/nWQPE91qaH/hHtInvBkD7RdBraHnuCw3Ng9QF7fTNC90/VRAb7 xV4tSwsk/wBZBYf6NGM4AHmk7+voRn9Kr2d9YWhvZPCXhaa7lQFnvrjMUbt3HmSfO2MnoCPfmpdW 1JtY8L+FtTeMRteajYTFFOQpZgcfrXQ6x4f0/W1RrlHjuIgfJuoGKTQk91ccj6dPUVjWesarpEe+ +kTW9IUYXU7MBpYwOvmxr97HPKc+q9a6Sxv7PU7VbqxuYrmB/uyROGB/KrFFFFFFFFFFFFFFFNdx HGznooJOK4zwf4l1FrSwj18HbqoaawvCy4ZWOVifH3Xwwx2OMdRz2tFFFFFeR6bYTad4d8L+bbyG 5l1WGaBJPuKGL7tpIypIwWGcHGR1NdLe6Xpl7JNqVwZI2tyHudVtGZJZZVXb5cWCW2j05BPHJyad pviu8sk3XDf25pCxh11WxUM0S5PEyA8kDBJUepKiur0/U7HVrUXWnXkN3ATgSQuGGfTIq1RRRRRR RRRRRRRRRRRRWR4l8S6d4V0l9Q1GTAHyxRL9+Z+yqO5/lXI6L4ivb28u7230S81PWGtw6tKv2aC3 Q/8ALGMv8zAMDlgvzHGcDGDVLjVrqwiutc8Y2+kWd3Hi3fTl8lPM5O13cl+gxxt6HODgHNudTsNH hv8AVdN8L3N7YTIYdRaZCvmMX2B45ny0gYnGBnseD11nSUeNdFa2aK5X+yrkW+pyuHZE3R/M+cEl QSM55L845rHudIi8MatL4qtruW2nmvUgsracDFyruqzPs6qG5YHI7HAyBXoniK80yDSp7XU7m3hS 8ikhRJpAglypyoyfSofBfHgfQs/9A6D/ANFrWrdXVvY2st1dTJDBEpZ5HOAoFNsLv7dZRXQgmgEo 3BJl2uB2yO2RzjrzzVPUPDmk6neW13c2cRntpxOsgQBmYKVAY4yRg9PYelalFFFFFFFFFFFFFFFF FVNR1XT9Itjc6lewWkQz880gUHvgZ6n2Fc3dfECN4ZZdF0PUtUjiRpGuBF5EG0AkkO+M/d7A1kaT ruteJ5Eg1nVx4b+1KJbe0t4cSTxYB3LO+QeDyFGRweKs203hHSrjzNF0+bxDq0ZMRmiBuZd2Od8z fKv5juAO1atnrniBvF9vpupafaWdndWks0SpMZZQyFAdxwAPv9Bn60ePDCun6U1xt8ldYtC+8ZGN /er3iDxJouj2ksd/qMEUrxsEhDbpGOD0Qcn8q5eKO8h+H/g6G/tzb3Ed9YI0RBBUBwBkHocAEjsa 9BOcHHXtmvMtGspNF+HT+JtJuGtb6GO4nuExuhutsj8OhPBwMbhg9OSOKv6lqHh1Xi1PSNWm0/V7 qNbhrbTo/PknygIEkAyCcEcnB4+8OtSaB8SklM9r4lsJ9IuLRxHNO8f7gMeVBIJ2Egg4PHXmu5Vl dA6MGVhkEHIIp1FFFFFFFFFFFFZHiu9/s7wlq12JGiaKzlKOvVW2kLj8cU3SdGtf+EPsdHurffAL OOJ4pevCjr6EHv1BFcmfHFz4T1eTwvcWt1rbWzRRxXceAVV1GxJTj7/B5/iGD1zXM6l4+8SanpUm oX0s+g2F1bSTaZJYhXEsiZ+SR+WGSMcBetey2rmS0hctuLRqc568VNRRXkcEFxH4G8MC7eW70641 GFvLXPmxHc/yLt5ZT27j3B46m6kug11HkQz21o+yCJwYtPh2ttZjxukYDGOQMenJx4NLGhfDS08S 6bjTtSg06OeUW5zFdfIMeah4YkEEnrnvV2XRIrXU/wC0dJ1N7C+ncJLepzFfzkHEfk/dwMAkjBHP OckW9B+IdvdxeXrtq2lTRyGB53Ia3aVWKsokGQhyOjYOCMZ612QIIyDkGlooqK5uYbO1luriQRww oXkc9FUDJP5VHYaha6pZpeWUomgkzscAgHnHerNFFFFFFFFU9U1fT9Fszd6leRWsAIG+RsZJ7D1r ldX+JlraadNf6VpGoapawqS90sRigUgkffYc8jGQDioZm8X6pBcC/wBYtdEMsZltILXH7xQuSGnY ZBxnO1QR1HAIrG8NwaYLj7fo2jan4jlu2KyS3o/dwIM4CSy8HuMgnPtwK19LvrnVnn0/WbRdOn06 +Nvp9/bSGURMAjBGZuckFQd3D8jriq0qrcfE7QBeQLbXwjunurXduidggCzJng7h+OF56c2viHre lax4eufDmn6hDcajdzQQqkDb/LYyryxHC4wfeqOpNFN4/shLY30l1HY3DNpsbERSyeagVt3ClHxu OePlGRngx+I2uZdPubh3iuLn7bbQ3t4wIjGJ1/0a3HX5WALHvg554XX+IK2z6v4bS9NiLV7mZZjf kCIIYju68bsZ2574rlNK8Ynwhpirp2oXev2dh8l9C0BVIU3ELJFIcYU/KAuCOD0rq/DutQeN9QW5 1DNqluVls9JmG124BEzg/f5ztxwOD1xjuKKKKqrqdi+pPpq3kLXscfmPbhwXVfUjrjkfnVqiiiii iiiiiio554baFpriVIo1+88jBVH1Jrn5fGUVyQnh7TrnXWJx51thbdTxkGVvl7jgZNc3ceIfEF1f XMPiG6PhvSo5DALqxjEgduBgzNny+cclRnPWrMdl4f0y/kg0rQrvxLqsTKz3Ny3miNmUEEzSfKuQ wb5fUcemkms3mueFvEyX9mtjNZNcWuyKXfkCIMG3YHUNV3S9J0/WvA+lWepWcV1A9hDlJFyB+7HI 9D7iqkFhrPhCOOLTU/tXRYlCrabQtzAuf4GGBIAOx+b3NQ2OsWniTxzZ3WmedJFp1ncRXZeJo/Jk do9qMGAO75G49q2fFGmaNq2jPba7KsVkrrIztN5QBHI+bIrm9MvfD9kwPgnww2pXDZBuo4jFH153 XEgy3XtuzVbWZby9njh8R+KbHTpo5EltrDS4TcSxyqcqzEgs2DjI2gfzq/Yap471TS3t/wCxLO2m 5Rb68laNZF6bvJALKT1wSMUaX8N1h0e10vV9dvr+0t12/ZI2EEEgJ3EOF+Z+c9WrqNM0XS9Fg8nT NPt7RMYIhjC5+p7/AI1zPhSKOfxd41imjWSN7uFXRxkMDFyCO4p8mizeH9RMfhLUIIpGUzvodzJ+ 5kXoWj6tHz6ZXPYVqaV4qtr27XTr+CTStVIz9iuSMuB3jYcOvXkenIFbtFFFch4edz8SPFyGSRlC 2RVWztXMbZ2+3HX1+ldfRRRRRWDr/iV9Iv7LTLLTZNR1C+3NFAsixgKuNzMx6AZ96838ZeIvGGpR 6jp06WUVhatbxX1vZFjM/mtgIrOvzNlSMqMc98V1vwskik0/Wfs99e3sI1Jtkt8T53MUZIfPcEkH 6VVuI5tS8c+LLeFYJxDaWiSWU2ES5TazHLckMM8N0GQCOhqh8MvMs/BdoBBFe6lqKstujOSEtlcg l8jCqrMxwPvZ7k8bNrpWr6Axg8MXovfJ+a9hv2K227klYSAfLbP8IO1RjIrf0TxRZax5cLJLZXro XFrcrtdlBxuTs6+49ulXNV1vS9DtxPql/BZxnO0yuAWx2A6k+wrFk8UapqTeV4d0C4mBGReagDbQ AE8EAje4xzwKzNL+HF3Botpp994mvMWc5uIFs40jWN8k5+ZWJ5JPJ7ms/U4da8OaW9jq2nSarpyr JKLuwj3GWUg/PcqxJGOuVyM49AKt3U0Fx8Cd9vKJUGkIpIJPzBQGHPuCK1z9piO0Nb2dzFCN2MG3 0uDnkEgBnIHT8fujnB8LmzuvCCpOg1a0nvbhbW2KBjenzmxJLxggcEkjAxk5OAGadd3GgTXMOi6x b3htSGutImkOwuxGEtSfmUZO0ZypJA4Oa67RPFmn6zeTadtmstTtxmaxul2yoPUdmHPUE9R61uUV R1m3srvSp7bUYZJrWYbZEiV2YjPonP5VV8KrfJoaJfmYussqwmfPmeSHYR7s852bc559a2KKKKKK ZNNFbxNLNIkUajLO7AAfUmubfx7pVzJNb6FHca5dQ/fjsY8qp7bpDhQDg857HvWLH4g8Ta+Zbsyw aFo9q5iunhInnQ7AzEsy7QBnBwCVIOehrLhh0t70TaFZ6n4n1WBy8OrtJ5kSN02O8h2dOCVHuORx dvNYv9W8LeKJ47eC2kt47q2v9P8AO3+WRGcSK2BljnkdCB6jmzqEVrD4HFjfMb/TZ7AvYXbEMYWE XyqXA44+6/fJBPTNjw5400Ow8K6LaSaiL2/ezjC21rGZJnIXpsXOMAHrjpVTQ4L24OuajqGm3B0n Vb4+dp11GFlhTYg87Gc9uR1wAR05d4lXQLcW1v4ivYJrqFWk0m6l3tuXjCOqcv0APHzj3zUFn9vu rKWLS/DNvpOkzwYvYdVjEFvG/wDfjC/Mw9chRwpBBzWfd3Vzf2jzaT4gv/EWtW1q9t5thZr9mRW2 sylh0YhR8wYtxwM8Gxc6fqviJbZryS1svD8O0JHpZFzLZyRkH5iRwSepAJGMEAFib9r4e0e2ha71 5X1yCYiSLWZZWm2qWJX5R/q8Db8yjB74qt490x38Km8vNut2tu8ZtZhOIm2O8YxJtwrjrhu2eR1N a+uaVDqVrKbsKl/DCZIJY22jSkABBVxj5sqD74x90VoeDtVu7rwHp2q6zKfOa182aVlxlRkhsD/Z wa1dK1jTtcsVvdMvIrq3fo8Z6exHUH2NXaiNzbi6FqZ4xcMhkEW4bioOCcdcZPWuavp4Lzxtpn2A QXMtpLIl7GExJBmM7ZC3p/CB33+1dVRRRRRRRRTJJEhjMkrqiLyWY4A/Gubn8e6XI7xaNb3muzJk FdPhLop56yHCDp6nrUezxvrWC0ln4bg3fdQC6uSAfU/IuR7Niqd3pPhDR7uCbXbqTWNTf93GLx2u ZZCTj5YRkDn0XitPw74nl1jWNQ01tDuNMSySNwbgqrOHLY+QdPu+p/Cn+GHNzHrdpdBZjDqk8bll G11ba6jHsrqv1BqsPC1z4fupLzwk8Fuk8hkutOuCfIlOOqEAmNu3GV9uK5zSbmfTdB8UaVqkcela zqE13eQwzvvSRXX+B+jYwRgc8ZxXZ+DblLzwZo06KVVrKIAN14UD+lbVeReIbq9XxDrU93f2e6yu RFaC1YwagVZEYLEVB8zG8AqwIJHUdaqRwajp6nU9W8JzagTKE/tjXXaQxLjOWt13FVAJGR35yO3Z HTJNU0GTVdb8VTXGnpEbhodJxBAqKN2AVy7DA7t+VY6X+p6foMeteHNB03Q9I8yDY8qh7m7heRVB wOFB3Z+Yk/SvTqKK5PwxbtbeNfFwZg3mT28gx2Bi6fpVbV9FsNc+Iwt76NiY9G3QyI5SSJvNI3Iw 5BqSKzfUNQ1Dwt4jlj1OG3to7q3vGQRyxq7OoBI6OuzO8Y69Ky08Xx+FNXtdH/t6HxBazTx2yrvB ubTcdo3uvyuAcA5w31r0Wiiokt4I55J0hjWWXAkkVQGfHTJ74p0Uscyb4pFkXJG5GBGQcEfnT6KK KK4XxlZq/jvw1O2oGwZ47iGGZWwVlwpXIPDAnjaeucVnz2tveeNNQvvEFq/2zSYrCSBbbLieTdJ/ q0PUMSF55BHXvWjqmnzXGqW9xZvLa+KbhFYi3kzFbQ8/64fddRkjkbmPQgDjGkley8S6rqGrulnK 0VvENcsELwx3Ee4ESA8qCGUMpyPlGSDjFzwKHuPB1nZ6XdRi9kMgvdQUbzHGJX+6TxuPUDoNxYj1 6C1itdShazS3EegWf3pZTj7XIpyTz1QEZLH7x9RnPGSWt34rvtevkubmey0y7E0Nndkwhl8oMDG6 /vIj1I7HK5HBp3hxU0KOyv20pPEM2qRrdxlB519axn+8zEhlXIUEbST29PSNI1zTdetTc6bdLOit tcYIaNu6sp5U+xq/RXHeIvh7b6lDeto19JpE98hW4SNQ0E+Tkl4zxuP94YNZNxqEmn3P2LxNp62V tFIrW0Mbs8GqXLHIaSUqAMNg7Wxzychah8NNP/Zd5Jcu1pbw3901/doC2798x8i24ztJ5JHrgcn5 bmm6DZeIvEOuw6rpUVq8CWjWhhO2W1Xa+zaw+6wxnA4B45xVB3toNG1abxXM9/a6JfPBaTQhku5X AVtxdTkEA4yCBjJPQY0/DPifVE8SQaJeyS6jZXkRltL64t/s8w+XcFZD94bR9/Aya3tU1yeTVk0H RQkl+QHuZmXdHZx9cv6s3RV/E8DnfooooprusaF3YKo6ljgCubufiBoK3RstOml1m9wSLfTU844G OSw+UDkck1mf2z4q160nli8jw7DasTcRlDdXqqMkfu8bV3Acfez1FY7WOjT6jdWt8dW8V3Swi4iu Y/3wg3bSqeXxGrfxDI5Gc8cHUsNS1u51q0sbzS7bRtVWyaaAfag6XCh1VkkRVA5GWGCSvX1BpSjU LzTfG5srKSJ5nkinsZCoYFrZPnXGQTk+uGHPXrvW3jTw/pfh3S3kmCPNZRzR2VunmyhdgP3EzgD1 OBwa5W4ZT4U8QT6hZy6ZJqBvLnTLqTYWlSRCxjOMhSwXoTyDleRxcsvEGjWWgQz3ZtrGyu7VWvdF uCpaQOoAkhA+8GHUAYPPQ5zJFK0+lnTvDXhd3tOHh1GUDTxFxgNll3M44+YLyOvfNSS7FzdyWuse L577UnTypNP8Nw7WfH95gCc9iSVAzjijR5LpNSn0Dw9oOk+Gr62iR0fUX864ljYZyu3OcEc5Y444 oubee8vnto11jXNetGCTQXuw2ETMMhnXCptK5xtyfxrX0zVbbULSK8MZ8NX00klvHLGQ9tM0bFMH gKfuEAEK2BgGrc5NleNNfKNFvJcD+0LQbrW5c5A8wEcHJ/iwecBqeHl0+UCTZo9wxTE0K77G5Zjy CONrHkZOD05asLx5Ey+E9SE5bRnj2zMkYEtrdhXUjGVwGJxxwSRzkc1sTSrPpNw8lnJNaSq32S2b BlvmI5lkB4C9CM8Acn+ECLQJpbr4NQsGHmLpTxg4x91Svv6de9chdaql5b2WqeH1b/hLJbZAljpE gaGKMDrNgbW4x8p5GQO2a6LRviZd3mlXVvd6SF8QwSCCKwhbcZpCuQSOqKP4ieB654rpvDegvpkT 3+pSLc6zeANd3PUZ7Inoi9APxrcwASccnrS0UUUUUUVweo+M72fxDe6RHOuiWVtOsA1Wa2MqPJtD FM5CIeR97qD64q5d+F/Dlgi6n4o1GTUHjUZm1O5/dkjniPhPwx+vNWdJ8YaTfX9pYaVY3QtLnf5V 19laGBiBuwpIG4nnp6GunrifhVbQL4Ua6EMYnlvLjzJdo3v+8PU9T0H5UujTw3nxW1m4tZUnhXTo YzLEdyhgxJXI4zgg4rS8J/8AH/4l/wCww3/omKujrzXX/FcD3+s6b4k062vdBiuVtQUZRcRsUU5E ZOWGW+8vIJ4HpVXxRq/hSwT+wNGv9U0EFYoBewmCSEsQqIhPzSKSRjK55xk1s6Muo+Mw93deKZbe FcLJpumobd4G4JWRm/eZ7ZG3Pbiq2kssEV4/gnwxbRLbSSxzajqchHmumQdpG535znO0fnXZeHdR l1fw3pupTqiy3drHM4QYUFlBOPbmsXW/AsdzBfPoF4dHub+No7kIm6GcFSp3R9AcH7wwfrXP67rC aX4Nh8L6pZyWF9G1rBb4BeG5CSx/MkgGOik7WwRXplZGreKdG0X5Lu9Qzk7Utof3kzt6BFySfwrL fV/FWsfJpOjrpNswObzVSN491hU56f3iPf35uXUW8M6vPdab4mPiPV7zDXOnR2wfz1UYXaYgfKwD 3yDWlJpvizXPFcfiC0tYNCEVk1qgvsTyMGbO7YhwpGO7Gq2saV4Ysb4XHinW7zXNSkxH9kjJy4BJ C+REPujeT82evvil8SwabqXwqR9A06Kxh1Ca18qERrFy064DbeOpr0WiiiuT1Cxm8J302uaWudMm bzNTsQOF/vTxgdGA5ZR94D160/GviTXgul2Xg+KK7k1SKWX7QmHZI12fOmWCk/P3NYvw/wBS+3eO GP8AbWpXtydNkW/t74geRMkqLwF+UA5bGM4555r1KiiuQ8Wiyk8VeG4NRVGtpxdROrjKtujAAP8A jWZZBtL+I2oWFqsmo6h/Z1ultPPz5EQZy3muP+Adtx49zWzb2zi5m0rSXcl5N+qao5+csf4EP9/H HHCDHfArGh/tB/FWoaf4Xvrc6bpNtAsumyIGinZjJvXefusdoBbnknPOap2+nteaYmq6BczaLDey eVDoYAaG4ZGIkDKDhN2CCVIwBk8mrsviK3kv4tM8W2g0YWiLJb6aj+Yl8w4XaQMMAQAI/UgkcCp9 EvJ5Ljxzb3MCxTRz+aQj7hhrdQBnA5wnPueKTwjCmieENKsdFhFzqt/aRTSSStxGrKDuc9dq5wqj r2xkkNudFstS1R77R5/7MawLtd68pAaZwDuT+64B+8W4GMDnOL9j4vuNOt4P+Emh8m3mx5GrRptt 5VwNrSDrEW9Dxz17V1kciTRrJE6ujjKspyCPUGnVDdWltfWz213BHcQSDDxyoGVh7g1x2oeFbjw3 F9u8OfZ3trRHlh029ciKKU/xxuT8hwW4PHPbJNQ+AtStb7xX4iaNLiCWVLVzFeEec5CtufAJBXJH K8dMcYrH1G1tjonxAugvk3Junja5lVimzanyLz9489O5XOau63fX8/jzQ9LgS2XXYI5s3LD5GgeP Hmcc5BDfIe49Dmu30PRLTQbAWtrudmYyTTyHdJPIfvO57k//AFq0aKKK4zx54s1vQ7uw0zw/pYvr y+SR9xQv5apjJ2jGevr+eawLm38P6np76xruq6h4jtm2xSxozIbWViFC/Z0I25OBzyGHfPF+307x fqFpmDTrDRJLORmtbuZA1w4z0McZ2jcoAbk5x06Ys+GryfxVoFnrEF1HD4ktY9sxaMosoyfkde8b Y4YdDkjkEVB4e8TaPolz4kuNYaLRC+pAm1mZd4byY9xCrncCcnI65zT0ubXxR4vtL6S0vrWwudPa Kyu5UMRkl3rIDGeq/KpIzjIB6iqtqkdvrPiae61CC21CG7iD3UwMUFzEII90bc45GTxypORwcUnh 7VIotsvgjwncvDOgEyTBbeCNgowVkPLHgZxkHg9etS5igIn0jXddjmtrhyw8PaDB5xXJyRuALhcj d0XknHYUsrjwv5EWj+GrPRkubmG0ivtVPmTszcBwATwADwWBGelWda0RY7X/AIrV9W1l5JRFA9pJ sgd3OFURKQEOSFy+QT37ByTyWNzpum694fttPt51kNvdWY23MPlBSHZYhhPvDO0kDkHip7G3gPin xAmoo2tW621qGulRTIg/ejonJI5yVweOmas+AJI5fEHit4rh7iM3kWyR33EjyxjmofCK350F/sz2 +qWxvLkXOmzbQ0YM8nKn367X684Iq5Jd2ej20z2Go2i2i/8AHxpOpShPK7sFLH5OD905XpjA5qna 67cXsLy+EdK1C+t7hgrW9/H5NrGCOSjNyB/sqCPYVj6vYWjm40bWvFSxW15jGhaOhnfzASSFLBmA 3DoAo46Cn/afGV1YahbNGtvEsn2e41e7xHPFCMHJiU4AweqkdS3FQy6Rp3hbSrbTNd8QT3i2BaaK wLkQ3UBzjCRjdkc/eJXPXg1JZavbR+RarotxpGh3s7y2dzKyQvazKu8soTP7r3JI5I6DFavw6sL6 HxF4mm1tbWXVDPCXuIFG0q0eRtOM4xivQKKKKKKKKKK5Xwr5U+o+KrWXy5F/tVi8TLnhoo+ueCDg /kapah4Fl0/ULLU/DpSRLB2dNJu5G+z5YEMUPJRueOo9hUd34lt9R8T+G7JkudO1GG8cT2U4KnaY JOQR8rruAwQTXcu6xoXdgqqMlmOABXnC2vhRr+5tIbvUfEz3NzJOthayF7aIyMWIJUiMDOT85PSr l1NeWFh5d3qGleCrN8sLW1CSXDjuQeFDdPuq3Xr0rP05tXguFuvA1tqd1b3LF7p9ZG2C4Y/8tgzE Pu4wcLggDitrVLDWDbtfeKPFsemaai4mg05PJGTwP3zEsc56ADmqWg6l4X0rVbOLSfDt7EmqTmNd VuoiBK2C4+eQ72zg4rd8c/8AIEtf+wnZf+lCVa1jwzY6tcJfK0lnqUS7Yb+2O2VB6Hsy8n5WBFc9 Zyax4N0e403VrF77T0E0g1S0G5iXZnPmQjleWPK5HStrwHPDP4F0QwypIEsYUYowbawQAg46EHqK 6CoLu0tr62e2vII54HGGjkUMp/A15p4o26HLBa2fie/1GzjOZtGhuybor1+WRAXwBj5WI4ydwrU0 NL1rKKXwb4XstMtLiMSLf6k+ZJ1I4O1CXJ5zlm/nSarDp1lMyeL/ABLcaxcygbNJtV2K/XAECEs3 /AiR6+1rRfELW/iax8Pw+FP7FsrqCWWFnKI52H/nmmdv4nPNWfia10PA13HZvIks8sMI8ptrMHlV SufcEj8ax9O0ab4c6nNqM0Md1ov2QQvc28IWaEI7MHlUH5+HILLz8o4qpcTy2/wO0q4t9plja0eP d0LCdCM16fRRRRXlHjWC08I+LdNullvF0u9iuVuLS2f549zIXMWTkFmK5C44DEY6jXv9H0+/mRmk k0+6toA1vNayeQmkw4XAkIIBY9drDnpwBmpdN8Z6jp1vBLrUH23TLhS1tqVqn710B+9JApJAxyWX gZGQCcV083iXQoLFL2XWLJbeRSySGdcOB/d55+grIPi+/wBVjQ+GNAub5JBlby7P2a3A6ZG75m57 Be1MuPB+pa9ewXniLWOIVdVtNNQwxhWGHBckuwYYz0/rU7fD7QIbcDSoJNJukBEd5ZyFZVyMck53 Djo2fz5rFe61nwrawaVrsSjRY/v6vp0bBm+YYEiLzGWOdzDIOexJIn8G6nDqXjLxFc2qxrZpa2a2 wR1IMeJCD8vTOScHkZ5x0qHwLcQWnhu0uIWe71HUWnNtAWBEcfnNnHTCAkEnqc9+BWhfWi6oLrRU eK6uZl/4mV9IodLVSGwqAnhgR8o/h+8eeuTZaXq+lWmsy+Gtuo6Tdqx26lcFZZJNu0vHKc7kwFwW 64OCByU8H39nqfh228P2Nw9nBaWaNqk0shjnzgZVc87eMF+gUgKc8joIntnslvrlBp2gWA/0e3Kb fO242yEDnb12pjng9cAJNPcXYS81Kzd3nytjoxZcuuRmSUHjIzk9QgPdq5q8k1DwpfvZ+FS97fRx effaYoAsbdCCcrkgxnjgAnPORzUtz4m8X3Oj6T4hs7vSRptxdQLPFbqXdEd1XazN3BbaQAD3r0ck DqcVieLrK01DRGtbvU004NIrpJJsKMy8gMr8OvHK+1R22j2uv6Fpk+p2kcV5FEjxy2uYmhbH/LMj kL7dMdRXEeJvD+s+GfC+uiZn121vN0v2l2WN7ZmwrOyY+c7QPmBz7DJNdDdWElh4/wDDgHlSW7rc COY8zHERG12/jAHQk5659a7aiiiiuM8S3P2Tx1pUz3kdrANNuhOzcM6FovlQ5GHJ24+lZHibRLbV LyS8uYQusLD51s2diabEmWWScg4dt2Tg59AMAmrFj481DWPCNvc2+kNM08Pl3N9NKttaxyEYY7iS 2Acjp1x60miSW+jeHbDTbjVbKxvtPiJstQaYG1vUycgNkbhk4ZeoOGHakbXNJ1K/OqeGfD9zea3I GV5ltcQuRtBSSVsKV+VcEE9PfBr3t1eRRXFrq3iKx0hbmbcum6YrXl1GTyNh6qcgHhMckjGeDTLc X17Ne+H/AA0kmoqm59Q8RSnzywAA/d8sMhQN3yj681ZubWDULC+h8Ua9ey3lpCZnsIwLRFUDPyoC RICARksw5PQ9KGo6x4j0nwVb6kuk6PpWnHycLbyusuyRxyNuAhwRnJbnJrR8cGWHR9Lj1N11HTG1 S3JuYziTy93Rgv3j/tLjPoKq+LMfZPDrafq66hph1+1A3yeZJG2Thd+eQPRskcc1veJkvX8a+Gzp 8kSTpFeNiZSUcbY8qccjqOR6d6wrS6t7Hxxrk8t/b+HL17e2c21zInkTuQxcnkb+w3Ag8nioPC/i K8g8ReJDYaFc6pNeXisj2hAtiVQBj5zYHX6nmqtxFDoVmsWt+KrPSbiCWSTytIUyXnzuzlXbqVHm HjbjgHNWJbqLR7q1v9P8JNLc30kSR6jrFwJLiVpDj5VyTwFJwCvBGBg1Z12VrG0+3eI9dudShmdV tbG0QwQXi9DFsTLF884Y4OAOmQJo/wC2Lawmh0Hwrb6bpUSGeCfVJPJe3fJZjsUsxHccjuOnFXLG /vdYitLvEMOumySRoNx+zalARkgE+hbr1UnnKnnnLXT9KubjxLJBrlx4cRPJgDTygeSvlHdAyucF QScAH0wcYqSx1jXfEfiqwSK0t510wSvBPtaK1u4THtyobksd2OMgcdR12/hzHbw694sitYJLeFL6 NVhkBBjwnK9TwDnGOMYxxiu8ooooooooorjvBqn/AISvxg2Dg6hGAccH92K0PH13cWPgfVLq1nlg mjiBSSI4dfmHT3rAsri51LT7XSfHekBob2Qw2N7LsEjscld4U/upCAMFT19DjNDxLoF14fB1DVPt PivTA6RW9lcXTrJG7MAg2jKy8kDkZ571r6TBqPifSgkGu2uk2qMVltdGh2SxHH3Gd+VPfhF/rW/p nhPRdKuftcFmJb0/eu7hjLMx/wB9sn8q2a434rf8iJcf9fNv/wCjVpfH237f4T35x/bsP3fXa+P1 q945/wCQJa/9hOy/9KEro6K4XXZPD2lajPdaX4gXStTR99xb2imdZTjH7y3XqenzYBHrTdH8W+Lv E0UkNh4ftdLuLaRY7qTUZWIQkBsCMAMcqwIyQPel1nSLKBxeeOfFsk0D522Eb/ZrdjjoEUl3x25J +tX/AAvfeHrvR9Th8Oad9it7QmJ/9H8kyHYCGwfmPB6tzV/wR/yIuhf9g+D/ANAFU9CFtD4p8V3c wiQpdwgzOACq/Z4uN3pVGXUtL1n4kaJc6VeJem3t7mOd4DvjjBAxlhxnIPGa2vGeiReIfDFzp018 tjG7I7XDAEIFcNnkgdq5AHw9dSrHcahrPjec7W8iIGS2BGBuwu2Idf4ifeoPGq+KbrwXJFNpOnaX polt44rGJjLcH96gUDbhF7cDPTFep0UUUVx3iiWeHxtoLWz2sUn2S7BmuWwkK5h3NjucZAGR15OM 1DGsMP2dPssrJcStJZ2Df628kz81xcc/dBwwz0477VHEeGPDniLTPC1/rUd7btYo0ou7GKVt1xHF K3mBZP4M4YfL1GM+2lDoEEV0+t6Ta2mmarbQC5CxIr2tjBsyEk4G6Vgc56jg5AwT1OiePwbKyPii zGjzXlus8c5YNbup6fP/AAH2b1HJrslYMoZSCCMgjvS0VzNx4Ois9Qk1Xw1Kmk38hzMoQtb3PXiS MEdznIwevrXN6HdXPhjTl0TVlOi6hPJIX1SbElsQzlsRMThTluFbGDk4PfovslvqFs9rkReHbVS8 szS5+2MCS2WzzGOd2fvH2zlup3Ed1Cl1qUMkOkQyBbazTmTUH/gGwfw91Tv1bAFY3iSGPVnmLaDN qHiO3jPlNYnYLLPzRLJIWCsw4Yjnr0xzWbZzeKdTlt5de8Q20VlYs0FxdaWEYwysgIZ2PyjhipYA 7Tj1yNPwZqkuo+HreLT9RbUNcnjxd3k7ib7EoOBuGeDgfKv8RBJ7msuCztJ/FviiDStUmS4t9PiJ u/M8wylVZZBIp4kz3PYgYxjFQ3CWr+A9L1S0new+zNpw1W3mG1ZFVowsmP8Avkhx1Xg8gY7O0juv Ft9DqV0stto1tIJLO2YFHunB4lkHBVQRlV79T2FdRisvVfE2jaMsv22/iWWJC5gQ75cDH8A57j86 4vxx4p1HUfBF4bPw/OlndwMDNdyrG/ld5FiGWIwQecU3StJudP8AF/hWca4NR06aC4FrEkeyOHEQ +7kk4x6nI6V6XRRRRXEeKmu08e6IbK3tZJ/sN1ia5YBbUZjzLj+IgcYGM5PIGTUF5HavodxBdSSX FsIpbiGGWTc2pkLlppQORGCRgZA4HbaK5rTdF8QD4bXOopfWumadJoh32sEfnG52xt87ZwEZlwCV yeB3FPh8L2ltYy+IlFra6jZQG4k094lmsbTCKdjKTxIwAOVIwT09b+n3l9r15BY+JddvvD+qsivb 6VGot7eVTkAZBLSA4wV3KRyB61uWul6JpyQWF7pEOg3qcW17aDCM7DblJcdTgfK/Xj71XdViaGGP /hIITNHGQkerWYMckBI5ZgDlBnHIJXpkAVS8RreS+EdUj1CK317TGtWaG5gA8wHBwzKPlO04O5Dn j7tUPGbKvwi09pUMihbEsq9WG5MgVF4rTTE02yv9DukgEesQeZa3EjR28cm4k+YhGY+Tk4x64NZ+ v6jZ+I9Q06bQ9GvLjULXU4Li7Nj89vNGhJLCQERsecAnB6jir/iY3N/f2Oqa/rtn4TGmu5hjhnE1 y24DOe3IXoA3XvUNpDZT3klzpfhm71jUUCNLf+In8soh/iVWGdoGT8qgDt6VRm12fV9Ej1zxPqz2 unxESf2TaKYoryPJVfLkDbnORnaSOnOAQa0rO31HTrWd/DXhgWVvC7zQ3mq7YCinO9XUZeROON2D 930Bqhc6pBJ4e8LTQyx2tndarbSTK+UNhIVLER7ukZOSM8YPGQeLPjSSS2udMlvryCxaHV7aa6tZ HASQK+BcRHjGQfmHOPwyeg1Pxlbazp2oaf4e0+91mVoHj8y3jCw/MCM+Y5AIz/dz7VT03TvsOgaZ pmq3wNosSfYdS3hZbO4C8xk8DruAJ6gFWB4zS1HUPDzaudR07TYtd8QxsILmK0tmmScYUE78FEIG DnqMFT1zVmSPxJJDBBctaaFprSAW7j/S7mxlPRSx+RVILAHnaGAq18Ora8stQ8T2t7IbqSLUgDeu PnnJRTyenAxwOmcV3FFFFFFFFFFebaPBr48Z+K7vRLu3by71BJY3QIjm/djkOOUbtnBHrVnxd4pt NT8Happ00Uum6r5QIsrtdrnDr8ykcOvup7GrvxGNwugaWoDNOdUtQWi4w27qO9aHjj/kDWn/AGFL L/0oSrWq+GLPUbxdRglm0/Uoxhby1IVyPRweHHA4YGsz/hJNX8PzLB4n0/zbY8LqmnozRAesqdY+ OSeRXTWt1b31tHc2k8c8EgykkbBlYexFcl8WGVfAVwWYKBcW/JOP+Wq1meK9dj8S3mijwxa3GtSa dqaXUpgQrDhQRjzWwucsOhNO8QXmqXbRxeIdZ0nQ4VljmgsrfN3cSyI25M9CRuA4VcnGM81e0/xP 4x1W1CWfhiNJQ7Kb28kaCFwG4ZYyPM5HODjHrTNVso7aK3vPHXisovKpa2btawsxH+yd7njuce1a /g248P3VhcN4f037DDBOYZA1t5LMwAbJB5IIYHnnmoNIJXWvGJBIIuYyCO3+ix1znhDwvc/8I7pv inSmT+2bi2Rp0vi0qXOD13uC8ZI7rx04IrZ8M3NxeXfi6a6tDaTm5VXhMgfaRboOGHUHGR7EdK1v BJC+A9DJIAGnQkk9vkFcvrB8F3Or393El14jvrlozJp1lK00RYKFBKr8nQDlieRxzW1ax+K7xokt bWw8OacqgeUUE8+Mei4RMf8AAv6VR1nR/DvhzTG1fxfqN7q4WQYN45dC+SVVYVwnr29ecVWi8Xa1 q9ndp4V0m00200+ASNJfddhUsmyNOMFR696kv9VutW+Fukapdun2me4sZJHCfLu89OcD+QrvqKKK K4Lx7pdnrHinQbO8tJ7om3umgSCQxsJQYtrbh93HJyePrwKz421PwvNfTXs8+sWck0UM2oxnN2Dx +4RTjeueMpgguT1Bxa8MXiXnwRuNgVWh0+6hZOAVKhxgjscYPPrTUljPhG3hSyuhG1qfIsgcNcjy iGmnzyE64DHnA6kgDO0m5hvfC1pZWrzfY57SGLUtSKjzbltmFtYMjDMOVz0UZ5ySavWkGs+GdQa1 8Pywylibq60aeTEFhCQcAS5Oxj6cg8nAA56jw94y03xAVt9stjqGze9jdoUlAzjIz94e4roKKiuL aC7t5La5iSaGVSrxuuVYHqCK5G+8JahpTW8nh64M+n20vmnQ7iTETnB4SQ5K4JyFOVzjpVWy8Rrd 34mu7Jz4ndnhs9LmVkFqmTltx4IwMtIuc42j0LdAsryLxX4i2an9o1a3lgeQOdqTq0KkqVHAGQQp 5IxyTzmfQZ/9P8QXtlaym0a923unSQAOsnlpvdR1bjtzu6jnrW8M+FLLXPAWkzxzXGn3ptTGt5Zv 5cmzLfK395eeh/DFZsNtAniLxJpestHHfjT4Raz2StEgjRGxg5OxicfLnBwRyKyde1LT5PDPg8XM qRX9utoslkgEv2m3O05IAywG3O317HANegDxD4i1ZT/Yfh428W8AXOrOYQy+ojGXP44/pRN4V1XV 4UGt+JrwHZhodMxbR7s568sfxP4CsZ9K1HwXmO20VNU0cLvlltFxdyv287vIo5J28njjrmDX76PU /BGuXOnXMV+rWjfbNQGQDIMYhRD90Y6+me5JxYDwS/EfRJNk9net9oN3YO+5Efyf9YvY5xt3Dg46 A5r0GiiiivPPH2m6dqni/R7fULe6uT9iuTbRWrlJGm3RhcHoMAscngY59DS1W91nR9P1j7WG1qKS 3NrLqcEaxzRNhv3XlnhwuckrjGSSDg40dOuYLr4EubeZJPL0SSNypztcREEH0INZupTJF4SEaaZI 1v8AYDLaaUFzLIdoLXNxnoAeQDkk+pIAj8ZSQp4K1S4guY5MFPO1ORQWvLlGXCRA5AQYPKnAIIHc 1s3/AIw1Xw7o4/4SbQZNShlVRHd2CBo59xACuh5Q8+4J6elW9D1CJoXbw5dtLHCuZdFvz5c1v06F vmQYPAbK+hArH1bWNHu7C/tfDC3/APak6ywz2VnbNIgc7gwkH+rX5s/MCCcZBI61taj1SbwzY6V4 n1HSPDenxJCGQzefdP5e3BXovUDoGx71SmfSZLmfUhoF/wCIbyNoxPqWufuIIgx+RvLI4Qc8hOBn mtwHXL20eHUr2S2ksH8y40jSlEG+2PAaOTO51xz8pXkFeDg1maGbS9lnm8DaML8KTFLf3hCxXAYA lZi/7wsOuVHcZ4rS0GTV3muNN1qaBdQ0ycW9jqMe5wGeNH8l84LDDAZP3seoBOAi2c3gPQBqBtZN Oi1SNb1bgEeQTK+5gW6owOOwGO/IF3WNUnj02+sfCK3+uaXe28sUkTQOYbVWUjdFNjlQT9wbuhwR io7/AES6hXwVbXEVpeywywol4sgEUsSRMzRPxg4wdhwcgnoc5vah4l8PiZLBopNXS1mRrD7LH58t nNnb5bk8feIAOTnOOwNNW78S3Ju4vs9voEMUySz25f7VPZhgSZ4gABtJY5zkAhz6ij/hHYGu2n1O WfxBdHdNdWU8mY7qL5cT26LhSQCoxg9SM5wTBqPjKfQBe6Pp506KCwUTWd7Puhjbcm5YdkahS4BI 5IzjJGQanVdYtPEWiT39499qOrpM1zpIdYYlg8onBXoWB/iPXGM8ZroPASwed4ja1fzYP7XdUkZi W4jjypJ5wp4H0rrqKKKKKKKKK4/wa3/FVeMF2jjUIznHJ/ditbxVYaBe6JM/iKGFrOFdzSuvMWeN ykcg89RXMazp2uwWOmm1uP7f0a0u4LoSRnN4qI3QFeJeO4w31rR8R6vY634as7vT7hZo/wC1bIMB wyN58eVYHlSM9DzXYV5rF421mz17UoFhuNchi1GWGWxt7NjLaxD7rhwNrDr8p56c1qw6BDdWE2qe BNWOlNcAqYRHm3LgkHMTDKMDkcY9wa5/SrS4v9Xu7KTQ5NW17T9n2y51m9DW0Tn5kMaqDww5GEBH Ge9dFd6Tdx2Bm8V+LBYWakKIdPYWcAXGApY5c/gwpnhTUvBn9tLp/hzTWEssLzC9NuwEoUgHEj/M /L47967G5keK1lkiiMrohZYwcFyBwM+9eeaF4Pufslh4u0e/ll1ae2RpYtVbzklzgsA2N0ZPqPyr Z8BXd3dXXiNr2x+xz/2pl4vOEhVvKjBGR24BB759qn0OJpfEXi9N+BJdRKBjgH7NHz+v6VydnYaV YabH4d1DxXqetSWEfOm6OjAFckhWMYLEjPQuO3HFbdlZ61b6XNBoXh+x8O2ThjI123m3D8EbtiHB bpyzn8ah8JeCtO1PwrpF3q93f6kkljCY7a4uCIYRsXhUXAI7c5z3q9Deandi70jwhplnpVrY3Btn vJwNquuN2yJevUckgUumWuo6Z4/S2u9dvdRW60ySZ0mKrErrJGMoigBeCfU+9RfE9ol0rRWmKCIa 3aly+NuMnOc8YrntWfRI7i8Pw9uXl1G6j2XFlp1v51rMDwC5GFjPzH5gw9xWhq1pfaF8HdOt54jH e2b2eUXDFXE6HHoTXo1FFFFcX4wx/wAJXpBa7uLaMWF75htV3TSLmH5E7hj6jnjjHUPtLOV7uMCN be6toAkEOVaLSI9o5PZpWGefTjpktxkB07X0SO3e/wDD97qEDwW8aHc2qhxhpJWK7GHXnqMn0Ap1 xreoWGnXWl6pGliqwm3vdfslaRJ9qYjhRtuFbkA56Ybuc1u+HkuoNI0xIZIf7R/s6JhJtxbaVblB 85B4aRsE89Tnoo5rWPhjS/Eev61NYteWN5aG2eG/ZiWnfDN5joflZWIBwRyBxgGlgsBqdzqtp4nt ovtVjMn2zWA43NkAxJAMZQlW6DkEnGS2Q6G/8YHXh4Z07VVjX7B9vjkvohJdJHu2CJ26buc5IyOh zWx4Fa7Gr+IbeXVb+/t7e4iSP7eSZY2MYZx0AAy2AAMcdxXZ0VnaxoOna9brDqEG8xndFKjFJIm/ vKw5BrivDmiWdl4i17SPt04vorqKa0vpB+8ZjCGOW4Eh5O5T1HOO4rWerWmma74k1C5vLTTNeN6q i1lnMgnjEUeAVUEkZyQyrlcnryKPBPi7U38OWWj6ToErz2tvvmu71/ItkQscMGwSwPzdgeKypNP1 TWtU8UXOvSzTWy2sImt9NQxiYbS0b7TlioIbuCeOMcU6a1h0rwz4WQada2lzcXljPBfW0O3zAVG4 OwHD8/Rhz6gexUUVw3xH8M6e/hbVtUt/NsrtYC8r2r+WLgD+GRRw4+ozx1pryalF488NafqqedPA tyyX6KFW4Tyscj+Fweo6dCPQd3RRRRXF+KLhLbxvpZkufIjk065jcKpaSXdJCAkeP4icevGfqGX9 nIuj3sjQhLqLTpFW337odOiKHjj70jDqf5DrzraHodl8IodVFx/ZN5No5BeGURi7Zo+UZTw5bgZx u9CKiudXm0vw3dWuts1i17AfM1aHMw1E7CFijYDEYGQMHsGx1JrU8ZWHkeDtWkl8uS5S2jhaCHIi sbcsuY4uMFjgdcE8dAAKqaoPGEXhR4HjRdKFzaC3l1SQNeKPNjxuEY2n5sdSDjPJPTT1Dw5oer2M z3gkmVmeN9RT5Lu9nOQUj4wU6gD7vyjsM1n6VFr999v0KTWUtLbQ3jElro8axzyxspbG4fdYDAwo 5IIz3qKDS7bTdZ02DR9FXVrueF3FzO4aO6tMgN5jScrKrFfujvyADgXNc0zxdpemxavc6rZ+db3M cJiij3PNbyTBRHJKwy2N4H3R3PWrNyLUaU0ey4sEsvNWOUjL6VJtyY2PRoWHQn5cYH93GTpmreG3 8OaPPoxvpNesbGESjRbUySfcwVlGNrLnP3jnPQ5q54ft9cks9Q1PW7Vbi51YpM2nwuPLuIljRdyZ +7KNucZGfbgjL0TUtDTwnpVvqMVvdarbhpNMtY0aaaQbmxHIgHXOev1HIrUj1PWzbzwadbjQrO3u x5hu5N8lg7Dcf3cfBhYtgZJAyT0AxQ1Tw5p9lquknWL+8vLN9RkW+sroBYI2McjCVI0+VEJBbPOB 16NWprEjeHIbe0gSzSe/ljtLaQW5a1vIncKPMVcDzEXnryM464XXHw+gvRDJ4i1W71eS3hMSKW8i MLjkbUwTnAzknpWL4eni/wCEO0i5eSS3itYVDXJOZdOk46hgSYnGM54C4PTlUEt1Za/4isj4RfVB f+RM4CoLZ/3e15PmJJBbPQE/jTdM8KyaTqP9qT61FZJ5huNMSJ91mrGPDIzON2MZ4BHGSMHgbfw3 1Aarba9fBYQJtZl/1D74zhIxlWwMg4znHeuyooooooooorjvBxjHizxePOiMjX6fug3zgCMckehz wfY1b+Iv/Ig6twDiIHkZH3l6+1Ycem6v4NtDr0WoWrW81zF5+lW0JS1CSOEzHnJVsvuzwD6Vb+Im g2h05NZtgLK+ivLZnvEHAUSr80i9HC9efQVoxeJbvR3+z+KrVbVVwF1OHJtZT/td4j7Nx6Gl8Flc a5hlO7V55BtYHKsFZTx2III9ql8HRSQ2GopKhR/7VvGweuGmYg/iCD+NZ/hqKSL4i+MWdCokNk6E /wAS+Uwz+YI/CqvhfRbDUvEHiC41lU1O/s9UdITcEyCCFlVkCq3C9SMgdq072OFPiTo7Kqq7aZdI cHkgPEQMfif1rpXRXRkYBlYYII4IrzBNNtdB0+z0TxR4ruLlUXyYdK0pGXcvYOIwZGzjvgdRXQaa NaSy+zeHPDNpoVqxO2W/f5/94xJkk46bmB49Kw9E8Kwap4i8RxeJ9YuNUms54WlijJt4ZAYkZXaN Dzwu3r/DVnTvG+nSX8Oj+DdFtYUulLRXN0PskMpHGUXbulxjnGK1fDeoazOPEWn67e211d2MoUfZ 02KqPEHAA645PJ9DWh4Dljm8BaG0Th1FjEpI9QoBH4EEfhXPaX4pttC1HxBpRsr681Q6pJMlnbW7 MzI4XaxbG1QRzyRxWrpdnrmoeKIvEGsWFtpcNvZyW8duJxPISzhixYAKvC9s9aPEXibwnLKNGv0X WLneHWwt4DctvXkZAGFP+8RxntUNq/iu9sxDpOi6f4YtQRta5xLJtPOREmFU9eCfyrP8VeGRb6XD rOo6zf6nNbXdtIzzSBII0Ey7n8pAF4XOSc+teg0UUUVw3jbUW0rxdoN6LcyLHa3nmTCMv9lT91um 2gEnaP509tQsb2C3ltZPt9jJIRZ2cThn1KYHmSQkcIpBPPHGT0UVQ8EeFtAv/Alvfz2q3d1NA4ea R2ZoiGOVjJ/1e0jjbjpUGhiVPBMCottPfyaP5kUOCkFpbsgJZgByzMufUnOCACaytK07UrTw7pc3 h8hrS9SEDR73Mi38u0+bIc8xoACe4OwcDjO78Pta+0eKNdg1SYQ6rN5Ikt5GX76Bg6x7SQUUkAck +vNKHVviBr8MULzXaz20q+cSLe1TyEzM3YvwQvfI7DJrKtrX/i4yyWUk2mPeaW4sL67YM97MJgS7 DuCONp/hwQBwB1Hg+6nuPFHij7bD9lvPOtzJa+YHCjyVAYEdQ2Dj2HIBzXYVQ1bXNL0O1a51O+ht o1/vtyT6AdSfYVymo/EsDT7q90bRLq8trb5TdXLC2jMn9xQ3zs2cDAXqce9YGnWWt6xqOq3Pir7V pdvdzQSSxaewQ27CIFHdiCwXCgHB4PXirPhjRrKx1vVdJhnitNctroXFjdbCRPE0ScMSSXDbSWXP UlhjqIPCmo3Ok+FbCTVtL8nRkje48+1O9J5N+B5/GUHIPccZJAGKvwzXsviHxVLa30F3LJYQT4Vg IZE8txtUjnuMPz79eM3yY5fAvhiTTbiO70yO7sjdR+ad1vNkBsE52gs3KnocY6161WRqvinRNFkW K91CMXDkBbePMkzZ9I1yx/Kubk8fapqts8vhjQluEM32eOW7uAjGTOD+6XLADkndt4GawvGGma5e +HdUbUtevLhbCIyXDwhYLVm6+SqAZfGeWJ44HJzjamN1beN/C3n3cV1p8guPsV0WPmMGiG1G7Hjo 3Ujrz176iiiiuD8aap/ZHjXR7kxHadPu1a5ERk+xjMZMxUA5C4wenBPNVbi4ttU8OPBAZNQt7mOQ abArbpr6QKxaaUnGBnkA4HA7lQIdO8P6TB8HpdUWzV72TQnJuJCZHXMR4UtnaPYYFJexvN4XuGjW C5vG0neDGm610+2KAhUGMF2AznGTjPAAFYuv6LLp/hRpNGMzaY0f22LTJpGd9g2s1yW428D7jZHJ I5wB1Hi3xJpuueDriz8uRLxpLVn025XypnUzx8AHqD03Dj3qe8a4hmuL24nSBLEZlljAMdhEMYih Ur80zKcFu2QB1ArF0gBvF3iFV0/+yrlHgktLvhmgLRYXzRzw/O7ORk+uDUlzq9poXxFjv59Pu0uH 02f7RZ2kMspaXzUG9RjGGC/e4zjnnFS6vqXiLxvohhttFWy09zFc4a43zXcSuGKxleEcbeQW3ZwO Oam1DxLp2m3S3N5fQGYRMLOUkt9shLANBKgBbzFIwOOv/AhVa01DXZ7eGHQdJm0uySUC1v8AU8Re SMAeS8QBZ0J+UEkc4/u8um0K/ntZW13Vrq+tXmZtRsrNfINm5UYdAuWZR1xnnO7nkHBtdVi8NfDy 0fTrC3e9vv3awyR8XYLsqyKwwd4+XIznofQ10On2MPiOxu01jxFfXWowWvl3VgE+xEDBIDquGcZ5 zuI5PYkVjabqJbTvBV1FfWksCTJEL64PzQyfZ3D28nQ4JOFPYYzngnV12G8Glw2+h2aPb2eqwT3N ndv5ZsNrB8KSOIz13DIAJxxwNC4Hi3UPOGsapFpVooy9vpsQYzQlRkrcOeGGTwADxkdRVOPxbpsi xafoS3Gr3toEt7c2se6K6jKn93K7fKvC8k88ZHcVDAPFTafb+VPbeFtPincDeDdS2nHCOWwqxnJx nIAK+1Z1rN4PbVfIuPtuvmeSaK4a4V7pbZwrM7xMF2kEcnaM9D2xXVfDnyYl8QW8V3Fc7dWeVXjx gxvGhQ/KAOnHAxwa7SiiiiiiiiivONL8OWeu+LfFk26Szvra+j+z3tsxWWI+Vzz3B7qeDVjxRfaz Y+Gr/TvEVvJcWskBC6rpqEYI5/ex9Y+gGRkdelanjiSO58BSPaTiVHltfLlD5z+/jwc1a8dKjeDL 9ZQzIRGGCsFJHmL0J4H1Nb8kaTRtHKiujDDKwyCPQiuMg0C10zVr0+CtSgtLuFw17pLnMDkgEZXr GSBwy+vQ9Ks+FdXW3ln0vV7dtL1O5upp0tpWysgZs/u5Oj9R05GelWdK/wCR/wDEP/XrZf8AtWue 1TTrbRNY1jUL3xm2nWuo3Cu9pZKouGYJtCg8tk+ijPvS6HbvDeR3PhvwfcF5c79X1qbbIVJ5IBJk I9vlz+ta58Kaxqpc+IfEtzJE2f8ARdNH2WMDnqwJduD0J/Osux8UeG7CcaN4I02C8v5FJXH7qNwD hi0rcvz6biT+davh3VfEE/i7VtL1v7KFt7eCaFbZCFAfdnDNy2CuM8cg8DpVPQVL+PvHSjqy2gHG f+WJrE0LU/CUfw10nSPEDw3M5jZEtI0MlwGLsMqq/Mp468YxXQeC7G8jj1q5uINQCXMiratqeBO8 SxgDfj0Ytgt82MZqh4M8VaLoPgLSbe+vohdESKtrBmWRmEjcKi5P07dK1o9Y8RapPIuj+HP7NjkG 5r3VcIWPQHyl+YnAH3itZq6NpGrarHpPiLxXPrl7IrSCxSTyYcDOfkj/APZmPT61reJryDwL4Rub /RtLtEaIxxpEqCNCWYKM4643ZrjdNfVvEvjYaJ4zurqGN7Npxp65tojKJMbFKnMq7Oc5Pf0q+rH/ AIUTLC0bRyW1u1vIjYyGjlKMPzU16VRRRRXG+Klgk8a6BFOs0ge1u9sMJIMzAwkIcfwnHOcDjmud vtClTV7mbQNVGm6kxK6rqMCKLaEY+W3VO7/c6fNxk8titHwfrcfh3Q7Xwn4iT+zdTWJ/I85hsuFy SCGHAPbBwciqGlRWy/DqwSRZRBPp3/HmygzahMIye5z5a4JA4GMdhg2PDFrEng62EOr3CE2EX2zV MbvKiwSIITjG4E4OMkcdytVtaeCbUV0rVdDlh0W1sFuLRYFYmwJd1WaULhwcLkgZ298nJEEMGo2a LqcN3e+J/D13IimI4+13OwDaV7yIDnK8fxEj1enifwtqPjaGXUNRQpLpUtvciRTHFasZEKxgkDaR hvm9cdOBTfCutXcPi3xLJolvd+JWmS0WK5cpCuAjAeYTjt3CnO33rsP7G8T6zIr6vrI0y22j/RNJ JVs5/imYZ/75C9fzUfDnwr9kaF9LWWRjk3UkjNcbuxEpO4EYHQ1hahpHiLw1cLeCNvEum2MbPZRS MBLaSZP7xlA/fEAkZ+914yc0zwtdTXN/4h1fSL065A8sPmxNhVuMwpvKAj5WHICk4wMcdah05NJT XdaiEc39jyC0kW7MxD6fJtYpjPKBckf7PQjBNdT8PkD+ANKRwHBgIYEZDfMetcTfx6R4b8c+Jktr qDSDJpsZhhAPlzOwO4eWvLdvu9OvrVa6u76/8JaQ2maRcWYgj0+G6urtgiS4eMIfKzucbguH44yA a70+FdS1IyHXfEd3PHIB/otiPssS+oypLsO3LVraX4f0jRU2abp8Fv1y6rl2z1yx5P4mqOs+ELPU rr+0LK4m0rVFRkW9s8KzA8kOOjjPPP4EVynim8u9I8N6hZ+I9NWW2S0aKyltELW8jlT8zjkq2emc jg85NOtIvL13wcbeSSWP94JLVgFa1kFuu7g/dGPmK+pyOtekUUUUV5942hhuPiJ4XhntpbpHhuh5 EZIEhwuA3+znrnjHWquraNYWEGsappl+2kagsbfab+3CrC7H/l3QHgkFRyOQfckCpZ+Jo7b4Rf2Z q1pJp0k2jyR2c8hBhuv3R2hWHRiCPlODnOM1NNBbL4Kt7O0gb+z208y2tiPllvGCfNPPnGI14bHf j2Wp/FkMtt8PdXmhvwztbBbrUNgxcHhfKiGcKnbjgZOATmqfjXXNI1zwWBZ6bcXq2zQI2pxQbUtv nQHZIRlj1HyA8mkiXVPDi2iz2surRBpLixs5uJ7YZ/4+LhUX94eevUZ7seM3SfE2j/8ACVa/enxG ly80EC5ukKQ3yhSJUCAcHnC9SP8Aaya211LWNQa1/wCEdsGeCGYf2fqOoMIRbA/K0EgOXdSMAcAn K9cAmhJY3Yiu7/xRq5tbeS5ZtR0my/0fyWAAEyEnc4/iJX72c8kEVqWGgaTp00aWNjaO0yZeEHzf t8CnKzxSEZ81d2SAef8Avk1j6fc3WvRRTeMNQudP0vUIltoJbeMKl2gbG2eXkq2QeDt+8cHkip9D t7bQvHniK20kmG4DWsdnLcSO8MpMQYxO5JIL9QTnkcf3TUjt7qT4VWtxYRjUvst99qurbcDJalJW Z9h9MDH4k85rb1qz1fxQY7nVpLfQksP9JH2A+ddvCQRlZRgBcE5AB6ZPUVgXjeHLGTQtJsI4dcv7 C8WHyLdhKl7AVf5nydoddzYBPB9jW9HH4h1iwN/p7afosFrvgiku5BNLJHjb5Uo+6MEY5JIx9ScW DT/Cl7eHR5rnWPEpSJkiCs8jWUgwNmwARAdcNnHBByMGuh0m9TVNEWZbCSOG7gD3NiqqjSJwBcwb SAGAwWA5BwOoG7H1DQtW8Wa5rUnmWOtJaW0UEEU0jxo2+MsJF2naHyT1B57ipv7V02DVfCulW1yu jzaZLJDcQXESJKknk4VnUErsfPUHncMEGtr4exLD4j8XotqLXGoITEDkAlMkj2JyR7HtXd0UUUUU UUUVx3g3/kbfGP8A1/x/+ixXRa7qS6NoN9qbxectrA8pj3Bd+BnGT0zXEQ6ZZeILa4/4Rm7fQdSk 8uW+0qdMI2NrDcnVQePnTggnual8VeJkv/Dl9oWpWj6Vq8yoscFw48uY7x/q5fusMc9iM9Oteg15 rL4b1HXvGuvSWN1b6Z9mvoWXUEQtdKfs8eUXkDYQe+eT0rotLjHinStR0rxLb2169heNbPIiFVlw qurgZyhww6HqODWFpnhF5PG2uWkniHVzbRW9tlFnw0iN5mEZ8biFAIHQ/Mec1oQ3Hhvwpeto/h3w /Lfaiu3zUs4dxQ8Y8yZzgHHPJ/nT4tX8Wx+K9Gh1SDT7Sw1HzlNtCxllRljLjc5wO38PFdiehrzP w3L4ci+F9ja+LXt0JmuB5UpxKHE0mdgX5gwOfu1p+BbO9bX9U1V5NVmsZ4IobaTVE2SjazkqAeSo 3AhiBnJqCy1rTvD3j/xfPqV3HEJzZeSiHfJIfLYYVFyScjpjuPUVZ065vigHhPwXFp0UjbmutSUW +7PJOxcux5PJxVq68L6hqMN02veI7m7j8pgbOyH2WHGOM7SXP4tz9OKPhjbWKeANIntrOKF5IcyM qAM75IZiepJx/npUb2F34q8Sa1ZahqlzHpVhLFCtlbHyvN3RK5LuPmI+bGARTNQsLDQPGXhO20vT obeKRrpCkCBQP3a/McDn7oGTV/4iaXdax4KvbSyiaWfdHIsajLPtkViB74FZupW/iPxlbNbS+H7L TLJgfLn1CQyXMZOMOix/cYZP8WeOazNfGjeEPhlceFjrUVzehCiozjzXd33HKjJA579u9el0UUUV w/jUXjeLNEWz1BNOBs7wT3RTc0cf7rOwf3ycAfXoas21utounR29gBIEzZaez/6lcjdcSsTknkep ycdSTXBaF4h1O603deWV34osZvNfUwtgd8RCkLGJCcOvAPy4Ix7kVaez1Oy0WbUfCmr2dzaTWbLc tduGhsIzykMLkkggPjBz0GcZAq94L1a01XStNtLd4lu7G3H2LS5iyrGyrzcSkj5gScrjpnjnJG74 Zkhn8eahPCXlWbS4Ga5fpcnzJAXUZ4XjAHHC8cYJpyWMOmeNPEC2TppVo9nBPdXqtj7PuZ9+xTwG faOQOCucEkVQe3s28a6d9r8NW76c+mSqLeSNWmggDxqJ5Q3J9MfeUEk85A1PA9tHZ+PfFcEN09zC sVl5UrsGJQxsVG7uACAD1IA6131FFed/2hZaH458U3R1K1s51Fq3kzyhY5o/KGRt67s5wR6jjB5o Wet6rdeLNa1XwnoU2o284gSeGdktlJ8sksQ+G3cjBxgjPsaZ4Mh1u98L6fLPq1zDYp+6tbGwVYpZ pNx3b3yfkHPPHAJwMDNWw07S9A8XeJEn/eMNPjzdbzJ9nmkDA4diXXJOMk555IqxctFP4L0H7dCL LUrb+zlgdXwt7AZI8KP72OGK9VK56HJ9YopCQASTgDvXDfEXxh4dt/Cuqaa+qW8t3cQPEkEL723Y Iw23O3n1xWTo19d3njXwn9t0V7GRLGXZcvICbpPKxnaM7ccHk55r1CiiiiuA8bXS2nj7w7LJfCyh +yXnmybQWKbVJVfRjjAxzn1qK7jEdrLDFZxJcx2sn2KynIEOm25UgzTEZ+dhn1PJA/iNZkOvXs3w eFpZeGr25ji0po5bmcpFEg2EF13HLgDJ4HYetZyWV/pvhG6l8PaxJe6WdPjW+nvDtLnH+rt3OcfK 2CpBA4AOScX/ABRrtnqPg7ULO3j+zXtramI6ZP8AuzYxAquSpyGY5XB6ANwR36nxx5lv8OGNuYkl jNoYy5wgYTR4JPpnr7VSSaNrWS5uLie4sZZAr3C5E+qzZyI4QD8sIwQAOCM9ss2Rp6rF4q8UjW9N tTbPHaG6htEJe1UqSHBHJCcZZecjcAMVY1eyvrnxZo2gf2nPHbapazfab+2ZA99EgBQMccMFONw6 7sj0Frxb4Q0jRPC09/Z2LXupJNbbLi7lMsznzowBvfO3PTjA5NWN8CW891bM9nYrKz3CbcS6Pc45 fbnBQ5yQBghieVY1j6Tc+K7Tw43h4WNhAbKIGRpAbqW4id8maOJcKwAJ+XceePQGno1zoPhCxn0h r1NSklmDzw26iZb9GOFaJVzskQAfLntn0Ir+Gr3xQdLsodJsrHTnmhmEF9eOGN8gZise0cB1JJ+Y +vbNP1JfDtxDGur6/fa9eSJI8Com/wCxSrkspgj42sRgg8YUdAc02+1TT9QtfDN3Z3Ueg2c2oRyy wQxKr2sjI4EidjG2CDkYGPqK2vElsbyCKG9e3juG1C0XUrVEzFfxtMipMoPQkDB69Cpzwa7TUNX0 Hw1Zlbq7s7CNE+WEFVJA4AVByewwBXJeGbYz+GtE0+W5VwkKtp+rWg5tpsZMbjtwcYPDDg84zmaj Hp+kaxqF9ea3eaQk0qpf2Fg6wurYwJ1HJkVjz8oyNx7qaZp4ubkwJ4d8L28Fw0UitLeIIINStCT/ AAElyeUOe2SOhxW18J7e7ig12S9QCc34jdiX3ArGvyENzhQQAec+p4NegUUUUUUUUUV5x4e8S6Vp Hj/xTYajcfZXub2MxSyjEbHYBt3dAfr1rrfGLqngzWS6symylDBeuCpBP61zGu+F9F0fwvDq2nWz R38c9q6XpmZpjuljU5fOSCpIx056VtfEeKOXwJqQkjV9qqRuGcHeBkeh5NR/YvEXhq5D6fLJrekk kvaXEmbqEY/5ZyMcOP8AZY+wNQeBtYtNY1nxLcW/mRtJeRMYJ02SoPIjU7lPI5Uj8Kv+E/8Aj/8A Ev8A2GG/9ExUaV/yP/iH/r1sv/atZ2k32n6H4u8WPqGoW9tG81vJumdYxzEPXr9ae+qR+IvGOiya XbXU1rp0s7XF2YGSEZiKgKzY3HJ7Zro9T1rS9GjV9T1C3tA/CebIFLH0A6k/SuP06S0ae4u/BPhF TcTuxbU79DBGWJOSC2ZGGewAFakvhbWdZA/t7xJOIiPmtNLX7NH0wQXyXYfiKzvA2l6dpHjbxdY6 fZiFIHtdrbyxw0WSMtk/eyc55z7Vmy6v4q1qyj1bUJZLHw67vuOikm6QK+0FywJ28HOzn2q94SXR 11vxO2h3AuLZ7S2Z5fOaVmkxLu3FiTu6ZB6elb3gCPy/AOhr5apmyjbCgDqM5/HOfxrIbSvGNr4w 1240kWENlqTQMlxdOz+XsjCsVjXqxOOpA+UUy4t9B0DWINV8T+KZ9R1S3LNBC74EZIwfLgj56H3r RfxH4h1PjQvDM0aE4Fzqr/Z1HXnyxlyOPQVha3LbWhlk8WeM7q4cAk6XpGYht6EFUJcjjqzAVJql noH/AAqi91PQ9Ljs4ry0EgYoPNILD7zZJJ47k16HRRRRXD+MotTl8a+HTo8VpJex2948f2yMtGMC Pk4IKnsCPX0NULPxDp+rD+ztUe5sLm4cfao2P/IUfOzy4JM4Me4Y+XGR7FjWr8Nokg+GlmsbqwKT N8pyFJdyR+HSsDRMN4F021e3QFtMMlvpyoMMdnzXMxGflJyQD1JHVukOm2dhrXgbRrjVbSVIUt0j gMf/AB+Xs21kCowwQoA47EcnCjJt6NPrvhvW7rVtbnOtWyWsVrc3FthpLIh2IRgAPMI3/MV55HFK b6x13x/e3Wkt/akq2dsYI1Ym2jcNITJMOOUyMA85bgZ5DbRbmXx1Dc6JLJc3MenTs97c/wCr1IiW MMinnagzhSOAcYyM5ueApLeXx14se2t5baPbaZgmBDRNsbcpz6HOMcY6cYrtNS1fTdGgWbUr6C0j c7VaaQLuPXAz1PsK5rUfiCyWE95ovhzVdUhi/wCXgQmKI+pG75yB3IX19Kx7S/8AEfi3TmuH1pIB I7x21pojBWcK2PMkkk+ZF46AKce5xVbw9oWlad4h1i2MgNzDcQx2eszFZWjnaEZTLZ7kgAnnpnIr Z0I6tN4z1+4kCwXtvHbrNaqwMd1+7fBUnlQTggnkZIINZfhbwneN4MsdU8N6nJpeoXMTNcxsS8Ny dx+8Dnae25apadLqtp4p8Qqnh+O0SHSYopbGOdXZV2thkbgNz1BwTn14M80cg+Hfh8OBqNr5unta 3KkM9rJ5iB1c5+7yVGOmcHsa7nUfGGhaZN9nkvRPdZA+zWqGeXJOANqAkfjiq39q+J9UEZ0vRY9O hdN3n6q3zg56eUhz+bDr+FcfqtvqMly1p44vLtbV2ZpbhJjFp5iGDtQJhvMPTEhxwSM9KTxBZaXp /hm+xpMUZaxeSz0yKMAWsW3HnzkHl+SASTjoMnca2Y4pY9f8G200huoY452t7kptLoIBt3Ds304r vKKKKK878ewaxP498NNocVpJeQwXMga8BMUa4UFmxyMZ4Pris9fEVlcadJp2tW7Wj3iSYjll2jU5 vmDP52QBECDjOONuOMCtm1/5IXycf8SF/wD0Uao3Fzdp4eUzGO3vbXSM/ZVJW301NmC7FesjDhB2 5x3Jp+L9L0+98HXGoXuntCyQq2neY3+k87czzMMnPPQ9O/JGLPjKTXNO8E3dprkUWraWv2Yi+tyE kZBKhYSIT3AwGX24GeNG0u11ENqsN9aSSLGyNdwOsttpUOP9WmCN0hGMke3QYBxNLt1i8Ta7erat o8kclube/kkDlC0QO2fnlX4Jyep6g4NXNS0zVIvEWn6zZ3MdjHbGaK6juYzOLB5cAyRgEEoxGRk7 RkkgcgZ+qLp6Xzf8JX4om1h4ZN/2COUCK4iJba0ccRDB1xznPT6EXLbVNfurmyl0nTYYppkeGHUN Yl2f2hCoyEaNCSXHUFiD8rdMkVn3NppVtcWlxrniS4v7YK8cNhbq0D2b55BhRt5jBXaRnjAxxyNH Q57G5s7m3s9Ok0e2tZY2urQRCOewnAG24QHloyPvbwOATyCRXM3NhHefDewiFxLCt3fRJcQ4BWfM xAnj/ukjg4yDxkdz2U+qN8PNLaw1uK1awmUxWt5YwLGzNtOFkiB64A+ZePXFczaW0yeG/ATn7OCm ookU0yhWhYb98bY6gsBjp0wea29VsNLbT1sNQvU0m0tpRLatLIFm0q4ByFU/xRN2I+gPTbQ02LT7 h7jUdA8LzSymAi8up5DFErg5E0Mr5l6jPA6Y6EYNqPR9T1CSVNe1aTdc26ztY6QMLqaIoxIkjEHf 03AbcgL2xVJJdJ0bUL7T9E0zztas4vt9tqCsodotoJWVpDknbwwXqOflOcXrVdbu7TRbvVdVFlDq 14ssNlpkJ3x5jZ/M3SZYDOCygbcH0JrpfAomEniTz51nf+2pT5ikYK+XHt6ei4H4V1dFFFFFFFFF cR4XtLe+8ReNbW7hSeCW9RXjkXKsDEOCKj8QeEdes/Dt9p3hfUBNaXKMn9n3hz5anqsUmcgdtrZG O4qv4i8S2Wq+B7jT4G+x6rA9qr2Ey+XJE4mj6Keq57jIxW98Qs/8IHqeevlp/wChrXS1wd1q+i+I dYubHUra50i5tLt7ay1WN9m+QEAqkgHDHj5GyCPWpNMfVfBFzerrMc2p2N9dfaDqlvGC0RKqn72N egAQHcoI65xS2PibQrbxdruoT6xZR2s1pZtFK067XA83O3nnqOlMN/pmtaw2o6J4NbVrp1UjUruE QRfKBjDyDd07qp7fUXTofinWVCa14iTT42yTbaQmxsHsZWyfyArU0rwnoejN51pYRtcdWuZsyzMe 5Ltk81xEni7xH4g0u31V45dE8PXBcPd2Ci4uItpK/PkZVcqeVU446VreAjp8fiPxBBpN59ssSLaR JmuzMzExnOSST+vtVjwx/wAlI8af71l/6JNUvCt/4ntPD6aTZeGJEmtpJVNxfzCGI5kY5AALN19B 9elWIBZeE/7Sv/Eet6ZDqOqxoskcCCFMqHwQuSzE7jlj1wKpeDfFOrXXg/SrXRfDF3cNBZxxG5up Fgg3KNpIPJYfL2HftVjVJr22KL4r8UpEZMlNK0aNkkn64UNkyN26bam8Jz2Fr4ifTLXwi+jCe2e6 S5uGXzptrqh3DJYfeB5Prx3p/wAT3ujoOn2trez2RvdUt7aSW3cq4RiQcEfh+VYKaI/w+uNTmubU S6Xe2K232+ztj+4I35edASf4hllGOOgpbuaWH4AWphUNvtYI24z8pkUE/lXqFFFFFcT4ylij8XaH 5zTlXtLtRBb/AH7kkw4jB7Z6k5HAPIGar6jYQahHPZ6uLSSbyvMuppF/0fSIlAIVM8b+eoIJwSeA BWT4d1vUtO0lV0GMa74eZ5YLW3DAX0aL1c8Bdu7OAcHDL64rP0C90q68DmFbphDFaLFdxK5a7vrg R/LFt+8Il6AcZwegBLbHh4NL4ftLqTUwGg0+NZ9UVQIbGHaMxQ5/5akD5m5wev8ACtV7S01nVPF9 5NpMq2i6VBBJZ6TqBZkmVsne4z8rk/NuOWBPPPRn2a2vftTWcl9pOsi58m7jkTMmoTt8/lvGrbWi AOd390nkDOaaza6fGtvbXWnzSa3DYyxwvZTIttAQyFfLDYG1VBDqck7vpjW8Pabr+reLvE5vtVi0 i8c2q3UWngO+0R/KVdx8oIJ7ZyPbnsdL8H6LpciTrbG7u0AH2u8czzHHfc2cfhityuX1fwTDcXsu q6HeSaLqkg/eTW4+SfuPMToee/X3rn9FudQh1fxAda0eAWbzwQ3sFqTJ5BEKbZFwOUPBwBuXg84O LemWLW3ijU0lumzutxYao65LfIP3LNn58jHXru9cUnhPxh4f0PwPpUV/qkCT+WV+zxkySlt5GNi5 bPI7Vz0mpazrPjPxBd6JZtZGTTYvM/tPMZWLa2W8sAk57cjHXvist9CT/hD9Emi8QXMtrJe2aXek uojjBfacbVx1+9k9eT1r2fTNI03Rrf7PpljBaRd1hjC7j6nHU+5q5Uc0MVzC8M8SSxSDa6OoZWHo Qetee+NPCjaH4U1y50O9+zWk9vm5spk8xCoGP3bfeQ47cj2FW4YY4vEXg77FcCbTXiuHt9xLOuYc 4zk5X9R06dO7oooorg/GQjk8c6HBKJpVnsrqP7LEDi7yY8RuR91P4iTxhadqlvBBo2sSX720m63c Xl7KMxRcELBGpPbIHHf3OBhWGm65p/wjkuLTUBfWFzo7M9nd8Nbgxnc0cg7DrsI/EULdaZd+EJLe yLM62ZYaTdA/aJrjZkyzljkqqqCp6f8AjoFrxT9ovPAeqv8A2hHMzxos96IzsupMrtihB48vnG4H rnqdxqXxbaeJh4P+06zqdta28T23mWWn224/66Mf6xskkdQFA545FPk0VrXUopvD7No2pykzpZyE vC8ePmluVBwpJ4B65A6845rQdQ1uTxZri6dY2Nzf3kUUk0VxfFobuPYcsilRuBJyOQACByK1L1PO hi1DXPGEhjcGO0t4t1nGrrnfBNGpLnsM5JH4jNeGR9N055tK8Jz2GmPNHLHd3KrBNYzyN5Z2Zy0q gvxkDgkdOK6W/F1IZ4NQtRLKi77yzhO03CLjF3bHOVcZGVznIxnIBOP4MsJ9B8K2niSw1K2jt7pT LewaiQok+Yjcsx5VsAcHK59Kb4X8QDUtf1rXbfTGtYNQuIorfUZgCBII1XynweULL94Hqw9RWfp1 vYX3gC1ttYvnj05LkvLcxMFk02fedo5GfKYnhh0JHbosVzoyTzXuj+G9R1eVY2M18ztIEMedssMs hJIyOQM8AdcYOd4kGpXWoaW2tSw28d5fwSm30hDJ9p+Rs3Mb85bHykAf3T6V0V3Z6X4agt9XWJNY mklRNMvLg+c94shx5TuchSM5DADgYx1B2B4Z8WaoY5L/AFuLR44Gc28WnKXljQ/8s2kOAwGB/D2H NZfhu5N54QsryW7urqFwDeSNKzXFjc5AEq9whByQONpzjBIrNW/06Lxl4ih8TaK1411b2reRY2zT rNtBzKuOincp5OfmxzVzQdH8VXMtrLDeR2mmxO1xpcV6fPnRfLKCJnUYVORlc7se4NdD8NpFks9d VbKGy8vWrhTFE24A/LnnvznpgYxXZUUUUUUUUUVx3g3/AJG3xj/1/wAf/osVpeOr2407wZqV5aXD W88MYZJU6p8w5rjjqmk+JFW18VadKwj2JZeIoLSSJJWOApViuUbcenKkirvio+INC8MXNrqYj13S z5YN1/q54kDAnzV6OOMZXB9q7nT9SstWskvLC5jubeQZV4zkfT2Psa4rw/4S0fW9R12+1WB73GrX CJbzSEwpjHITpu5PJ5ra8CL5Wh3NsHdorbUbqCEO5YpGszBVyecADFZ+leHdE/4WFrr/ANkWW6GC 1eM+QvyM3m7iOOCcDP0qZNQ1/wARa/qunWV9BpVjps6wySxxCW4lJTdxuO1Oo6qelVrLw7Z6B8Qt MME11cT3On3RnuLqdpXkIeHGc8DqeAB1rtz0Nea+ANR1+z8HWmj6f4buTdwNIZJ7/NvAu6RyMEgs /HoK0tIsLDwPc6hr3iPU9MsbrVAvmQ2yeVCpXJOwE7nJyST39KyNC17ULnx94pn8O6Q2ox3ZtCJp 5fs6RAR4BYMNxB5IwOgrY1hNSj095vFvi6HSbaTGYNLTy27DAkbLt1OdoH4dKTwpZeDriz1G90Gx d7i1LRSXd4jNMx2A5DP82MY9PpW34GXb4E0IFmb/AECE5b/cFUvCdnDb6r4ku7mzEV0NSkzdSKMt EVVlAf8AugHp2qp/bNtqXxVsU0q5ju44NPnhvGh+dYssrKCw4BytbXi3QJ/EOkxW1pdJa3NvdRXM Mrxh1DI2Rkf5/LNc/qun+HNNu0m8Y+KJ7+d8bbSebbGSePlgj6g+h3e+ay/GOtyap4IurTTPCt9B pUSxlbqcLbIiq6kFYz8zL07CvUKKKKK43xXdG18Z6GwvbexDWd4rXE7AeWP3RJUHgtgdDx1PbFRG BHt7aAWHm2wl3WGnsSGu2z81xPxwuTu5HGQTyQBgeEPCerXPhyw1631a30u5itSLdbS24lUNnE5J zJ06cYqaeyi8Tab/AG9cQtb3c1it0+oQt5S2SlOIo2/jdsncTnAOP7orN0e+13SdD0R9a0eC60+K 2Wa0jsyVS36nzrhFUk4GDkcDk8t06nwFeWmpeJPEd9Z37ajHIbbF067dx2tkKMDCg8Ae3frUEbxW 3jvxVevHHapF5AuNTf70UZhTEcY7sT/TqSBUEkhk8bWUeowPptlcaVKlnGgJntmM0eJJCM7GJ2kE 9Dwec1d8HR3UXxE8XR3s6XE6x2QaVI9gceW2DtycHHXtmu6orG1XxboGiy+TfapCk56QITJIev8A AuT2PauF03UtY1vxNrmueDrfDMYdy6jKY450EQAHlY3AnqrZHGecHFR6RoYvpNTvrq7u7mwa7jF/ p9orWqwOqqx+XJYhCeVB56jJApvw8fQp9LtY7CCyGtxRu0lw9uUMEW4ZlywPmNjHI447YOWwJplx 4z8R26S3FpLPpUb21w37uadgpLOPXcOoI5GeMCotTktbrwr4VeW0e01G3m06MHdgXEJwVYEcOBjo eVOfXJ9gpGZUUsxCqoySTgAVzeqeP9A02QQR3D6jdM4jW3sE85i5ONuR8oPsSK5Lxt4i8S6p4e1G wj0i10+IWjS3izz+bNFF7hRtVm/hBJPB4HWn6Dodvpfirwzc2er315BcLcA290oQQP5IJwgA2E9x jnrnufT6KKKK4XxferZeONGEmqQ6ZFcWF1DJcSHDAFojiM9N+QMZ9++Kiu7FYbC6R7YI1pZTS2Fk VLR264IM0zEHdK2WOD799xrKt/D0l18Ift9/q15cpHorPBZxt5MKYjJXIXlyMDliR7UzVdMsNU8O z6lezSTJFZqZtYiwskrBRiC2A48vOc9iSepyRV8Sz63pvhm40zVLOG/jSGJDPaEKmmxllyrqoxux jle3YDr2XjW7t734fPc6XeQPE01r5NwGDxjE8YBJ7gHr9KiijtL6SRolkks7iUMxyfN1WQBSDnjE S9P7p9h97ESG5fxJ4i+3+SgSS1c3lmu6XT5RENrAEcxqMgk44zkYJxJdXNrB8U/D1xeCK3uxa3P2 m5OEjuFCAJID93kZ9x0PQVa8X+KtM8R6I2kaJBNrUlxdwxEwREwArKrFXkPyjIUjv19KmaS1jgij uLuSCxScpZ3znbNpswP+qkyMbSRgE8EYBzkE8VA3hvTYB9jsZ/Ed7DEwnSLdOISuCbmFtpQKWPPH XA7HPSW6eLb6L/SY9PslltkkuLW0jW4bUEGAZEz8inbgAZPbPGK5bS7DTvC/hCDxLdWMt5IAXtJ3 zImQzJ9nlQ5CDkkMAO/Q8N1mg6ff+KhDdWGv22mabYy7rW009A9xa5XBjdmUbep+UqRwPQVy3nJF 4f8ADZOsTQAax51xLOu5reTMu10UjBjbBJxwCDjvXV6jJNDpd8senLdSwyRXN7plr8wYmRWW5g/2 WCMSvrk9QS1658SeL9W2Q6Ro9rpInUtBNqkwZpl5+4iZG7Azhj09skZUdxZeE7GyjfWrRb63j8i1 LIwa8jXrBPGoJVlJwrDOM/UFLafWdQgaPQtDvdOs1mX7PNfyCJtNl53gIuWaLp8pGOey4xXn0MLM tr4k1SWS5a7knk0y0nSESEghbi3RcMeOWUnrvOCeu58JrSKy0PVobZzJarrFwLebqJYxtUMD3zjr Xd0UUUUUUUUV5to93rth4y8W3WnWMOoWaXiCe2V9k5OwfMhPynAz8pxn1rT8V69p2u+AdYNlPukh CLPBIpSWFt6/K6Hkd6s/Ei4eDw1BGm3bPqNrG2R281W4/FRVn4h/8iLqf+4n/oa1NqPhaKW6bUdI uDpOp9TPCoKTe0sfRx79R2NYmhandeEft8Piy3Fol3fPcLqMOWtWL44J6x8/3uPetTwLIkukX0sT rJG+q3jI6nIYGd8EEdRTtK/5H/xD/wBetl/7VrBsJfEOj+MPEf2PwzcXq391HJFO8ywwhQgUksck 89gDWnFbX9hrK+I/FutaZbpbQSQwwQKUjQOVYku5yx+QcYHSn/8ACcrqSgeGdGvtZLYxNsNvb4zz +8kAz07A1U1O41aG2N74r8R2vh+yxxbac2ZX748xhkn2Rean8H6b4Pu4ZrvRdLDG3nMTT3cLGXdt DEgyfMOHHpVbQ2I8eeO2UkELaYIPT9waxPCfhi4m8PaT4s0aRLvVpog1yuq/vRMQSDsc5aNuwI4x jIroPC13Pe3Xiy5vLGSyma5QSW0jqxQi3jH3l4IOMg+hFaXgFVXwHou3cFNmhAYkkZGcc/8A6vTi szxFo/hHTdRutb8QajKqXDI72ct03kyMoVQRCv3zwvBBotvEOoSQi38I+DXFpyI7i522cPswTG4j 8B+tQataapaadcap4z8VyWunIRutdJiMark4CmTBkYHI9OprB8O6nDc6iNL8D+GrTT5ntvta6jqp LtJFv25GMscnGMtxg8cVe8Q6vcar8EY9Ru5I7i4uVgErgADcZlBIA4BH9K9LoooorhPHGn2ep+Lv D9te6U+po0F1sgX7ofMQDOcjCjJyfpxmsB7K70iB5IZG1rRrhobeUSybbq7bjKQOeWizgbScnDYP euj8FanaN8ORZrOEutOs3S6gYmOS3YBuGGMr9cVi6cm7wXpkdzAr403dp2mggbyI/muZsZA9s5Ay OrEYv+FltrPwPpcf2e5khuLdQIHH7+/fGSgBPEYGfbb6DOcqebSdF8USWunataaFr8cRlvDHGPsU iAZEIjyNzYI5GG4Y98Uq6u+neIrm78R6e1nqGoTJJpsU74s2kWNI/NZuqkYzhuVDdM81JbXd0/ji 2urG3j1aY6RIb+d12fb08xARCp42g42k/KwyM96b4b8S+HdB8YeJrifVVjtJI7NbcS5MhCxtlAoG 7K/dxjIwAea63/hIda1ZpI9B0KSNABtvNU3QRnPQqmC7D67e1ZeteC/FOt6aRc+L3W5IBNtBF5Ns eeVO07yMZGSc1kaG2m+Hdmg6xpg0i4PyyypFuOrMzEbEk2/dJK8E7ucHgEm5Y2xv/FfiCISwab4h je3ltChJCgQJ8hPG9ecMvvkAcGrmi3V5N4i8R6jaWTpfQPBHc6d56ETERjkdMHB+VifmxggYyHeG fDml+JPhvpNvqloJP3DbJBxJEST91hyP5cd6wLiGK18YeKNO1p5NRt5tOiC3kqKvk/K2wORgA9QH x1x61i6n4tsrnwn4d0qXyLzU7G4spIRaDeXQAZTP8Eg4UqTzwR6D0Y3fjbV3BtLCy0K2I+/et9on PH9xCFHbq3b8KmXwTa3UqT65qN9rMikN5dzLtg3DuIkwv4HNVLrwdeaOs9z4Nu4rF23OLC4Tfa7y ANyDqjcYzyOTxzXIa9fx/wDCL6po960mjXUVs0stpcSZn1GcgHf5v3XT2U5OMEAAA76M58eeGhf2 P2TVhDOLgx7jFMohGGUnrgtjnkcjkYJ9AoooorifFVpDeeOdIin0yDUEGn3RxcbfLg+aL942ewBI 4BPP4jmrvSZ9D8PXY0K9ln0u480jTr0kvd4TDSq20FFXGQDlTgEkZFX9J17Tb74NXOnxXGy8ttDd ZIJVKPgRH5lB+8p7EZFWtWu5YfDFxbwG2hvbfTMuetvpsZQDGQOZGGcDH5DrneLGtY/CE1vJBMqu iTQ27HMhTcm65ucgEMcEAH16E/dT4gweFoLdo9IvLeHWLyWFBYW7jybk+ahHnRgEAdTnjr3zVv8A 4TCaz1B7DWYE0zUmcQz6j9+2hjxu8uFsff24+Uj73JzgCs7R54oPEetyNYT6MqXECRXt3twWEWNl x32yA5JPduu7FVdV1nw1fh7dLKfUmtS5ijt7cTLpkoPQNjy2hcqMAnAGex+XY8vxdfm6+zWdp4cw iC8sxid5Oh86IY8vdgFepPygHkCq8WgWk99b3t1Kut3crZs7q/bdBfoM5gdSMRyrzjI6j/eAjsPE Gqa9e2sFqLDw1EZHGlXF5bbpSnRli2gRnkY2k5xjqRmr1lpU9l4s1fTzeXk1lBHb3X2kuM2lwxdt 6IBtVDhtwAxg1hJa3mp/CabTNIiea5kTfc2xRt0/7/Imi7EHacgcY9COdfVbrUteurTVvDuknRry ZCLXVrudE+14BxCYxuzu5I3+lYOsE6Fp3hlHu7OcWWpL/pk8flyQMu4ywyIBu27myCOx+hOxLr08 kMf/AAjOiXdotrMoF1qBW3jsN/JjYEFmiPOQeBlcYwMRajaxR2U9t4v8SR21ks4M2mafGsRtXIBD Ju3O6HI4QdWJ7GptEsNIGmi50Gwiu2ePZJHs2f2pApw00e/lZUbOR6j3UiDXr7X9R1e4fSZru506 HS433aZcKLi4371R5FK8kFSGUYI/SqFmdAsLbw3BpoEN9HfwtqGqXEYV4ZijfumD4bBP0AABzk5r tvhk0xsNeFwkSzDXLoP5JJQtlc7c9s9P8a7WiiiiiiiiiuN0H5fij4qReF8izbaOmShyfrV7xloH h3U9Knu9b/0VYk+a+iOySMZH8Q6jOODkVzfiO41+PwrHBcxQa5pxlglTV7Q/MkaSq250Gdx2r95O OTwK3PGt9aal8Ob+7sriO4gliRkkjbII3rXWV51c+JNZtvGes2FtDNrMKzxodLEBISIwoS6y/dXL Mflbr2xVzTNO8yN9V8CXy2aLM6XWk3aEQeaOGUqOYXHfbweODVPTfEmsR+L9Yz4P1Br6W2tkeNJY zErKZMHzDgbSG6jJ4PHFaN2PF1xbm61jXtN8M2i8lbdRK4HXDSSYUHr0HbvWZosfgS58SQwwQXmt XlzI6x398rzxAqpchXf5ex+7n8q9FwFTCgAAYAHavMvDvhG+vrDSfGFpqRutVktg00Wpjz0mOc4D HmPpwV6ce+djwHLezeI/FT39o1lO91C7WzSiTZmPGcjg5wD9MVo6ZEjePfEaFBiS0s92Bjd/rhz+ Fc+nhUaBo6WfiHxo9lpUG5YLa2kW2BQknDOfmY/N0B7Crml61YWdi1v4I8K3d9FKcmfZ5EEp5G4y Scv05IB+tUfBGi6/qfhuyabX20/TP3gW0sYwsn+sbIMpyRg5wVx+FPtbC2s/Fd5pXhjRYbnU7QK9 7rOqyGUxM67lHPzMSAOhApbq117SfGnhUah4kur9r2ecTQqqxQDEZIAVeuM/xE9K3/iKqt4B1YOq sBCD8wz/ABCuW16Tw1b66b3wjO6eI4AVMWl2hnjmx/yzlVflAJwCcgjHtU0tle2nwVvotVsVtLtv OmeDAxGWnLjHXjkYr0iiiiiuA8fiz/4S/wAOG/vZra3EN3vWAt5lxkRjylxzls9Bz6YOKkEdzc3w fbbWt5ZxYRTtMOiQEdf7rTFR9AMfw/e4qx1XR77TdOh154oLiaGR4dR026/fFmbaftJxlc5BJJKn B+lXJxq3h/S5dPvoptT0+QG1GoWIAuLtUj+SIKTny153MvXB9ydPwXI03hDTprXUEkuEtPLutTkZ CNNhHJiUf3yMdfqeAFq3o2k6frXjDU7e/wBD8uzk0yAwLdLieVTJJmVz95XLZ5JDcAnmq0FlbLrX ibRdXuJbvTrdrZWnunMlzOsi7kt1b0DenPI+tZ0fhEL4yi02HXLvR5LrTJntrOK7Je0G5NsRO4lg fmJUED5Tg8ZrY+Hujxad418SRyaQti8SWrIjMZcEq4d0dskqxBOevr0r0iioLyytdQtXtb23iuIJ Bho5UDKfwNcPZaZp+neJ9X0OV7r7CYba5huJJNxtJCXUASHlRhBtznoRnoKzYNdtdP8AF+t/brpT qsn2Y2o0yJp2uQqtnKqO4A3L27HgGofCXibW4vBEMdjp1tYWlshT7fdyGQySlj8scKcsxJxtJHJ7 9KpzeG76/wDFGvf2xqM2rSJpUdxLaBfsqyMclUbacfLjI6j1qxAs2nfDPQLaO3+22d5PZyfakVQb aTzkJDDAyONobrng9q9boorn/HMGm3Hg/Ul1JLdkW2kaLziBiQKSpUnocgdK4XTNZTUtf8G28d7c XVtEztHdvE4y3k4aIu2A53A8joOD6161RRRRXnvjpYH8e+HI7mCa5je2ugbWFiDcEBSIz2IJAyDx 61oysRHe3F7cRr+7aO8uohxEg3f6PB1JYcbvftnAXjoNa0LVvhTBZSaLda3cafp3zuLYotsVU5Pm nAG3H8OScdDzTIW1zTvB0KT2f9r6fPYm5SNCBcqzRg+bMvR0Ug7Sefu9wMWPEF7ZX3w91SXTNVFx bSRA3d/KB9ov5+MIFP3VXvjoBgdCa2/GWkado/wmuo9Nso7QGO2JNugDsfNQ5z1Lc8Z71KbAIlvD JpYlZSzafpU5DhSchrq6bnk5PXOM4GWPHG6bomjz+NdW09HXUHt/s5ghupHFtdSBT5ickgE4+TJI GO4BrolW8jvdJ0jw7dQWkE9zKiXMkA863VEYvbSxnG7qCCT2Gc8MZfFvge3g8Eajd6tqV5q13Z2s rwPM/lxxMfmysa4HX1z+QGLllp++xjUwLJcCCE6vphcsZPlGJ4yOfMGM5H3tuPvAGsHwvqGot4Pt tEXwsNQiuJZ2WTUp0jhceY2FGdzFuemAeD6VLoOknwzdyapqmuwxJdQrDZTzsyQ221iTbOsh3Djo CeMHuBWF4Y1m7bwy0VlaXF+9jJNMJoSIhpjFmwVkPDxsucrg9D6jG7PbakiXd14g1q20y3yrXmn6 cqLHNDg4njdyTk/7IDfLx82CcW/0nRLWTRNR0axbVjPqyiG8EhYXaZfMTmQ5DjGMgAHj8Oh8U3cG meCr26tNSm+eGSG1uWwWPOGt5iQcsvzBS3PXnPXqvD/hTw9pFlb30Wnwi48lGe6nPmSfdHO9skdO 2AK47wu9sNGvY9Qkhm0o6ncFZ7Y7ZdKfzDsYn+FTjIYcDvkE4s6jBr2m69qN5ps9jYzSwRi4YQBp bmJHbdPEMhS2JBkHnIx3GcSzu/D8erxXGmpc+K9a8/EdxOrOLiIg5Qs+1VdVHUA/qQOv+FYk/sjW d9o1kp1m52WzEfuR8vyDHHByOOOK7iiiiiiiiiiuN0L/AJKn4q/697P/ANAar3xDfZ4C1ciJJSYM BXGQSSAP51zltoniDwXZza5Dd2pWSWMzaNbRFbYb2VCVYtkNyDkcHBGKsfELwvZW3hrVdV05pbC5 kVHnjgfEVyQwx5idD16jBrYtPGAspIrHxVbDR718BJC262mP+xJ0B/2Wwfr1qXw67N4h8TqT8q30 W3j1t4jVL4fzyXDeJpJCC39vXK8DHChFH6AVc053b4g60pnd0WytcRndtTmT8Oaz7XRNN1n4ga7c 6naJeSWJtlthPl1iBjycKeOpz0q9roRPF/hRF2qBNc4UcYHkPXSHkV59ZeFbvRNDhtvFHjMxaXbI FSC2ItV45wZfvsPYYqbQ9c0myt2sfA/hm8v48bmuFXyIpD0BaWXBfnPIBPBqrYab4h1TxhrZ1PWV 0gra2jTx6WAdy/vCo8xxkEYbJA5z7VT03UfDb6xFbeF9DXU9Rnzt1PV5SAwGQXVpMvJzwQgrrfCd /q819rOn6xcQzzWE8SK1vAY4wGiVsLnJOCT1P5dKPh7/AMiTY/703/o165uDxHa+HviV4rjnt7u4 ur0WhtLW2gZ3n2xHOOwxnqSO/pWsLDX/ABJ4o0jV73TY9JsdKaSRIpZhJPKXTbyF+VR07k1seItd 8N2FlNba7e2gilXa9vIQ7OD22DJP5VjQeINQe3S38JeDnhtunn3qrZwR8nnZ95h16DvWZ4w0jXbn wfqOpav4i81FiEkdnp6CO3+8vDMctIPxFej0UUUV558SdTm0vxF4euLeBpJUju38xFDNAgRd8iqc BiqFiATj2NN0jWdJ1SxgXSUe7gEheDTRIPtN5MCC007Z+VQc8PwTg85UVr+A7O2i+HVk6W0KNNas 0pVAN55yT6/jWBoEbweDraUMJ7ptFUyXkygQ2Vv5fyxqM/eOMn1xlsDaKx9A0Rh4Y0fUrF2stUuL eNLKzgwy3jozFpLhPulcEfN1Uc5zgVpeFNam07xrql/4nuEiW9VbWHUAT9kmkRmysbEAKADjBzyr c5rSgeFPHniWe3gSS+R7dvtMrEQ2sPkLmQn7ufvY7nHYc1Tu5tMuPGNh/aEL2+nXdhKtresT5ryG SJhOzAfu+cbSfXsCBWv4Te//AOFgeKINQnWeS2gsokkVdu5NrkE+53Entk8cV2pIAyeBXPa1498M 6Cjfa9VheVTjyLc+bITnGML0/HFYsnjbXNUt5LnSNIFhYpcfZxdX6s8sr5xtjhT7xzkcsB6kYNY1 p4e1W78T6tJ4jvpNZ8m1tjc2sH7hGVi/ykKcMUXLbTndv+hq14a0zSLTXNY0iO422bm1lsLu2VIv LJUlFDjqx7Zzuwc55zU8L6f4m0jwjY6rpBj1i3dWl/s+dQGt2Lkl4ugY8twSOvHXFUbC5sNS8X+I JbHVbq0u30+NA10rK0swVt6SRtgE4XGB0x8pqzBcwXfw/wBKntWNtdLJpsN9byxkNIiyoI3A7ZwC H6EZHUDHqt1d21jCZ7u5it4hwXlcIo/E1gHxzp93KYNCtbvW5hnP2OPEQxjrK2E7+prlpPFPijXd QfRWuoPC98JSDbvD5kph7uJWIQgDpsySfQAmsrxVo2lTeHL3W7tpbqOOBktbu9kd5r+baQGVc4SI ckYAzjP3R82m0Nu+u+CZrOSQEzEXVueRHILdecfwnbg8cHIPvXqFFFFFebfEW5u7Xxt4cks1LObe 6VlSQRyMhChhGScb8E7fen6Z4l0i7uG0+xjNjdWEcnl2V2hRLBUzmaQHG5zn+Ek89eSatWIb/hRX KqD/AGHJwP8ArmaybC5iHw7icSSQ6aunJHc3MhPnX0vl4EEZxkIpJGQO2B/Eaq+M9MifSNQuxEll rK6dumjtZBHFaW2B+5dgCHZjkDhSecEAc3fFWu6rF4O/svVbAWVzLJbCzv4cvaMRIjDcTyhAByGG Dg4Nal5cW1xFNIsjtZyyKlzd25Jl1KYdIIMNnZnPfA5A43GsFIbmXxf4nhvrGKeH7PZPcadanbLH GqEqYmDD5ozt5HXtjgVZ1K41Ma5pF5o1lDqWoQpNJFdPMqx6jCIyoORjMoyQVxx16dI7+bXvEFm4 1rxBaWtheRHyIbUeVBKwzvgmkf50fHGMDoe4xUMfiSD7IsegLqN69jtSxkWIsbSUkL9mmkPyPESR hsnA78KasXcniq8s76+vzbaFZJMrXlnbqJLiDbljOjN8pPKElc5CnHzAg0NFh8Oan4hmjjlt9d1S IE3DXDeamoQkDLxbvuSqAOBxwRnHIZot9Fa/DyOaJjpF/aw3Q067VQPOUSNuhcHgt0O05Pccg1ua Xp1j4Ru45PE2jpc52rHrzEzoPQMrZMA5PT5eeormrmO0uIkmOqq2nxeKWluIQxBgDSyKskTD+Agg 8cZBIPUV1GuaXPqVrqWnl0iuL+DLyxjMF/CCMTKBwJlGARkbsjtgrhXUvh5DFY6jf33iq9AjexhE 7tHdI3Gzy04RlG4/Ng9CTjgXW1PxBeiE6XaWGh2Ts9nbSXah3GBj7NKgyqkt93dzxjqcNnXtp4et LdNN8TaxqWq3EMIa2tY4yz2BQDcGiX5COmCRjA9Ouhb+JdV16y0yafw4kGi6jdLbl/MImkcBiksS ggRkbc5B6jr0rd+FbK+m6863JulbXLgi4IAMvC/Mccc9a7miiiiiiiiivN20i71P4neJZdO1WfTb 63t7Qwyp80bZQ5WRDww4/CpPFuv36eDdQ0vxLpf2S8nt2WG4gYvazSDlcOAShJAwrgZ6Zrb8Xo1x 4AZJWYNJ9mDmNlHWWPOD0/L8M1J8QhjwJqY/2E/9DWt67s7bULWS0vII7iCUbXjkUMrD3BrjbPQJ PDeo6gfB+ow3b7la60a7uNwT5Rt2vyyHaON2QRjpgUnw+vYbW81vTL4tZandarPeLY3GFk8t8EEc 4cYHVa0NNmdPibrdv5R2S2FrJ5nYFS4x/wCPfpUOs+Gmj1i+1mTxbcaPY3gj+0RxbIslFwD5rcjg HpiszTbzwvpuqNJ4Z0e/8Qaow2NeqWlHOes8h2qDzyvWtkQeNdYhP2m7svD8bEEJbJ9pnAHYu2EG eeimuXtLzwy2sR2ujwSeKdbOQl3qtz+74wGKs/Bx6RqTgH0rq/DGqa9da5rFhrQsc2QgKC0DAKXQ sV+bk9uePoKLKMy+N/Esa4y9jaKM+4mrlfD9/wCEG+HOnaPr09tdXFuskZt4gZZ433tyoUFlPTB4 7Vu/D631mO41e4v11D7DcSRNYtqYAuSoUghwCcY4xnk8nvR4R1zStE8B2Muqahb2i7psebIAW/ev 0HUng8Cpm8W3mqK58K6BPeM52/bbxfs1vwcZy3zuB6AfjWbBv8Q6wNP1Px4jXLBj/Z2hv5SrtBDb nyXPXoSOnSrmsaVp3gPQJtR8N6NZf2g88UaPcksWaSQJ8zsdw+8e+K5zTILnxF4sn0zxzqF6mIE8 vTpG+ywTSncGEYRv3qgDg5ycnIrQ6fARB6aeo/8AHhXo9FFFFcD46t1ufG/hZDYm/cLdNFbnAR3A TBc9kHU8HoBg5qnq2k2mo3011Fey6bqUp+zz6pZSFGupMDFvFHkblHGWP9zr1IdoPiOfwjoFvofi Gz2wW9uFGpWWZ4Iwc4ExA+Rs4HcHNV9HhWX4b6alxakwrYlrTTlkBNzIEJaV+cbdxJAPAwCecAR+ EreJvBOnXEkkkVk9oqXl4CTPcDcwFtEByoB4JHJzxkksC+fxFP4nvLP+w9Mu7Ww09Gt9NyJPsiOS MhPuvJhT8uRxgKcEk0tL0lI4vO8MTLdWElyirol9Lhrt0HLNjmMDHCPxhQSOQKSHxnYp4zS516zv WnksZ7TUIWhLxxkyLhI1BIZBtIJHXOT6C14Zk8QR+MNeTw9YHyJorQxy63IwMMIDbcKuWZT82OQR gZOc11q+DbvVDIfFOtz6nFIuPsUGba3X1BCnc/tuP8627XQNHstOfTrXTLWG0kBDwpEArg9cjv8A jXO3PhXUtAb7V4RkjZEQqmmXrs0UeTkmE5+RjzweDntWRod5bXfjHVf7NN5pusrDAXtdQXb9r27t +4Z+YkHAYdBgjIyKn0aRLvxL4nn/ALP8u0dLYX1k8e2RX2tuYEdSMZ468EHPXb8ASxQfD3SZJJFj iWD77tgAbjjk1xWp+JdKbxp4jlhtJtbtLrTYk8ywRZ44yA3zM2cLjPXtWfeWuvXfhPw+dYNnZrH9 iWxubWNzLJGzoAjOTt3AYfaQR8ue1ej2ngPRY5UuNRFxrNymMTalMZyDx0U/KOnYV0gAUAKAAOgF Z2t+H9K8R2X2PVrKO6izldw5Q+qkcg/SuA8Y6Frnh/w9rE6T/wBtWEtk0Ae5kK3FnH6A/ddemTwx wOuKSeawm8T+B2WNYdSjIjuFzhmQQAqf9peeD7keor1KiiiivP8AxqLg/EPwwbWKB51t7tke4OEi O1f3h9dvXHfHUdao6holj4gs4ori0a+WUO1k0oCXN/LtOZ3fH7uIZyo6HjjG1TUs7rxFp/wnEFxZ rqemXOjSBLi2wstrmNsB1J+ZQMfMOeOhqSyuhP4NtpoZ4NQvotH2JtfNvpkIi2szEf8ALVsEeueB gAkx+OJYH8E3QVLmKGW2EltbZPnXAymbmc5yAOgDdz64A0PE6eItQ8EqdTgsrXTy9qrWURMs06ma MAGTIVc5HQHp154qSaRqvh+Y32i3NpHLAHElndSb7XTlcDCRuSWEp+XgAgk9AMA5VlqUFv4j1lR4 Y1q01SR7eW3mhVZZbeRkx+8dmxtdichjgg9B20b4a7dRahFqb2nh1ITHdzwwfv5g+cm5hLMoUZPO 0k8HuecxE8M20k02o/2h4nmg3tdtGDdQXCHAEysp2o6qBnJ45GehrrrVvtdnaRR3SzLcwD7ISQE1 O32DdDJg7RKBkA5Hr0DCue0Twvc6tIfFE9tLraW91NAmnaq5aWONJSBsYtt3AZyrg5K+4NaP9r6V r3i+4uIraWKCz0pYbg7Clxp0izMMgAHle+D09RxWZ4b0w33gafTlE7fbElM8EqiTzQXI+1QA9GHd BjOOMHBLbq70283Q6x4vufEDhka1tIPmivFI+40UPzK4OR83seeRVPUTe3cuixaNpf8AZ9jaaukd nPfoomsnbJMLxg5CbiGG7nGOvFaUmjWFnZXLeKby91TTLc7bm3iLImmT84IhU8xkMNrcgemDxc07 S/Et/aJHomgWGiafcpudrg7V8wH5J4o0+aOTGDyew9OZPDdxd6zaXB1K3gubwyyW12rR7U1OKJtp dRnHmr64GcgdsjPW28P3Pii+bXNciiT+zIV069S5aG5MTNKCr5OWkA+UggkgDIyar6f9t1F9GtLT 7WdG0m+hS11Zx5GwBWyrxE8sSyLuIwR2GTnr/hmJhbeIxcFDMNfuvMMYIUt8ucA8gV2tFFFFFFFF FcroTr/wsLxTH5vz7bRvL29vLxuz+mPatnxBcpZeHdSu5LeO5SC1lkaGUZWQKpO0+xxivPhZ/wBu aY9h4cuptJnHlTSeHtTUhflcOpjJ5VTt6rlfYGtLxd4nt77wjqmm31vLpmphFH2W5wPNw65MbdJB 9OfUCvQK82Hh3UtY8fa7dWF1BphtryLN+ilrg/uIj5YGQpToTuz9K2NIEHjvQ7u1161je70y+ls2 ngyhEkfHmxnqp5zVCy0vxAPFGp6Jb+KJkt4bOArcXECyXW0mTAVuAcHOWIJ5HSq9zZ+ENM1AWj2G o+LNZhYI6yh7plJyfmLfu04JOOPpW3puteIj4vt9M1HS7PT9PuLOWWCKOXzJQUKD5iMKPv8AQA/W usPQ15V4WvvCc/wx0uz8RzQXEqvKsUK5kuEPmtjYEy6nGORjitn4e6ZqMOtaxqkv9pHTrxIVtG1M gTsFBHK5zwCACeTVz+2tL0Txx4gn1TULezjNpZ4M0gUt/reg6nqOlQ6brcEatbeDPCM8qsWY3MsX 2SAk8klnG5uo7VcOheKdZjH9r+Iv7Ojf71tpMYUgc8ea+WJwRyAKpfDfw3o8Hhuz1MafC98/mK1z Iu+Q4kYdT06dsVOum/8ACT+J9bg1a8upbDT5o4YbGOQxxMGiRyX24LnLHgnFQXOnWum/E7w5DY2c VtbrYXKqsUYVf4eOK0PiNZXOoeDbiC0sZL6Tz4G+zx5zIqyqSOPYGs7U9L8T+MrY22paZpWkWJyR 9o/0q4Q/3l2kKjD1yetZ/inVfDmhfD6bwra6vHc3MVssCIp8x8hh97aMLz64r0miiiiuF8bvAnjH w9573WDb3YWC1JD3LHysR5HQHqTkdOoq1JJ9mv5ZN8MepLADIWf9xpNtgZx/DuOM443Y7KK8/wDB GgeIbrQLTUNKht/sMcs0s8N7ds0F+6sQp8oD5CPrglVJHFXbW0trvw7L4k0a5fQ4Lq1dbsLC3lXU p58pIckhR843IRkn64m8H+KY7Lw9pVrfRiyvo7XFpd3jgWkcZz82QeXIH3Tg8dhW54LeGXx/rc0F rcRJJZQMJ7k/PeDc+Jsdgw6AAcDoKSZvs3inxRM7ra2z3NskskK7rm5JgTEEYx39c5+Y4x1ESzav YeNbH7PBavLa6PKzaPBjMEHmRhUV84MhwDzhTtIGM5qbwC1g/jfxU2ln/Q2SzaNcn5Mo5ZcH7uGJ G3t0wK9Bopks0VvE0s0iRxqMs7sAAPcmvM77xZpF74o1KNbGbVbaVLb7JeabhikyluDLkCMgtxk4 xnPDYqlZR+LrzxvqaDU7DSNY+yRfKU803ACnA/uA9zgEjtxmq/hHRdP1Pw5ZLJIup6lIX2WNzetN bWqq3zSyRDAXH93vuA75D47yaw8X+IbnQrEajZNpsS3HkqFeQFSBLEPulQeCB26dOZr2G8i8BeFh FMb7TnurCQSl8tbtlQU6cpknGeR09K9borN1XxFouhgHVNUtrQnkLLIAx69B17GuG8aePYr7wjex WPh/Ubu1u4HQXMqeTGUwf3ig/Myjg5xjkZIzVGE6yniTwQmtzRTZJNsttDtiVPJ4Jc5Yv6jgdMV6 zRRRRXn/AI38v/hP/DYNrJdTNb3It4Fk2I8h2YEhz9zGSevToelT3UsK214096PLcGHU9QgHzTuA QLaAZJGCT0zjkfeJIwbfSdcvfhB595rfkWMOlPJDa2UewyIIyVErnJPuFwDz1rNXw/bt4Rs30+3b T7y509HjtonG27ARS81yrfKIx82M/wB7I5IAi8Ta5dReFtYs9ShKT3fD6xErTQ6gwKlI4224RQpP sNpxkkmu88dhX+Gjq0rxKwtAZIwSyDzY+VA5JHUYpoSTzrWFLbN5t8zT9OndsQDjNxckE5bPTPOT gc5I57S5Iz4z8RpZ3smpXkqQJLDPlYr5PL+cKx4Vs7tmDjHTjkWdSKatP4csrm1Go6Y2qAQzzrl4 gsb7reZW53AgfXbzyOdrx9q2j2fhHUtGjurdLy4tXit7KEgyMxHACLz39KzLA50y1t5bB5HW1gmu LBT/AKxFUYuLb/bU4yOvHrjdhC107R/MivfFmpX0VxK1/b28dxsTUEcncoCfP5mT0OAT25OLWl3V 3G0B8I+HFthHK8VteXrC3SVcjfDKgJZn3dC2CSMjoQcvSdJM/gu31LWdWvr/AEW1ec3ljZsENlLu PzDuyjJOM8bgeRmtbSLK+1fSH/4RDQbawsLxdrXN0/loXXiOeJVJZWGMkHuB7mqWsX1zrdrYLqti k2rw6yLV0i/d2+pKjuhHJwSCvfBGc8A1Z8XyRSeEr+7eaRohCYoLojbIy7xus7hTzuB+6evHUHO7 ol+IkRsrcaPod9eR/uojcSKYLeN224DO4yB8w5weo9axtK87wvp91b+JJ44PMvZbuSAS/NBuKsss B43BSx3Dk8dOoNKbV9OvfEAutN8OReINScsk0kcCrDeIgBE0crD5JF4BC55yOwNObTvEusWMUmoa /FEt5EbeJbZyn2objutpnfpIF3Kp25yWz056D4TCOPStcgjWZBHrM4Edw2ZUGFAD8n5uOfcGu8oo ooooooorz+LxDZaD8SfER1IzQ2s6Wo+0+STDGwj6O4Hy5zxniul8WyK/gfWpI2V1OnTlWByCPLau V1rwjoul/D241O2t5P7RtbHz4b15naeNwuRh85AH90ce1a/xHsra88BXklzAkrwqjxOy5aNiwG5T 2OCeae8PiTwuN1o0niHTEU5glYC8iHX5X6S/Q4PA5NQ+CNXtdV1vxLND5kTyXkb/AGe4Ty5kAgjU 7kPI5BH4U34cfc8Tf9jDd/8AstWLUbfirqGZEk36TCQB96PEjDH49azNB1nTdF8TeM7nU76C0iW9 iOZXAz+7HQdT+FXbPVY/EXjfT9Q0y1u5bC1s7iKS7eBo4iztHjaWwW/1Z6A9q6fUNSsdLtmudQu4 bWFRkvK4UfrXHaXfaVaOV8B+FRdGdcveeWbaDbngmVhl+SeFB6Gr0ei+KNXDjWPEq2Azza6OgUoO CAZXBboD0A61S8NeFtG07xzrMaWazvb21o8c10TNIGbzMtubJBO1enoKzLnX/FusWsOozGTTvD9y 7xmTSIzNdRAMV3PuHyrwSSoJFafgNdJj8Q63Hol+17ZC3tGErXLTkufN3Ekk4PTI4+lavw9/5Emx /wB6b/0a9VJNC8Up4l1WfT9QsbHTtQmjlabyzJcDbGqEKD8o+7kE5/pWbbXnhDw5qz3X9q33iLXV QoNjtdzgc5VVT5U6e3StV9S8bawoGmaPa6NCx5m1KXzJcZPIjTgHj+I96y9WsNBtrxB4y8V3Gp3D DatgH8tDnJ4gi+Yg9Pmz0qTV20Wf4Sahd6DYLZWU8JZEEHlE/PjJHvjr6V3tFFFFeffEHSn1fxb4 ciW9ksEgiu55bqKTY8KqI/mB+pA/GsmOXVNIjt5dUs31fTJHaa0it4ik87j7s90mNxH3fm5A4JGc Ct/4WuH+GNsQysd1xnac/wDLR65vwmj/APCF2QgkivLqHT3fzGB8jT4m3kk9CZWyVxnoOw+9L4at 47jwPodjcadFOs0W+20sFSt1JzmeY4+VBkH646nAqHTY5vCmvX19oV/b6iVRI7y1uJSrTuT8kdso BYKCcAnIPTPBNT6frMU3jTWr1rY6bq8/lmNNUwi2MSRKsk2M4Yk5Ax1AHQZp1vb2x8cabJM0uni6 s5TYXsrsLi6n8yP95KvAwf4UbjBxgZAGt4Rkkg8feMJNRWC2kRbLzWVgIyfLb5/bd1weRmtmTxzp lxObXQ4p9cuehWxUNGnHBaU4QD8T9KzdTm+JN2gksbHS7CHq0IuPMuSO4DFfLDY6dRnvXLWthpGt SyWWqXt5PqBzLevrchDWUfICRxHCs+DjeFIHUdgdLRZlsdc16FfD4i8N20FvaTQbMuE2s3msnO7I cFs/NgqeoIqWzh0+PxRrNjeXF1cWdx9je11IMG+zOVbysOo464VjkHoSc8roHgfS/EPgLTJiGstQ aAg3luNrP8x4cdHBxyG/SqFvbeIIfGPiVJL2xN5b6VENkURSG4jAI5HJQ4/unAJ6EViXktlpvhPw 9LpurxJYz3Vm17p0jHzI5k2l3ReuD1YYwcqw616S3iXXNTaSLQfDk4AX5bvVCbaLd/uYLkfgP60h 8OeIdYgA13xHJbqxy1tpCeSo9VMhy7D/AL57/hhXfw8m0WY3Ol2ltr1s7mS4tNRC+fJ6BZiDkDg7 W9Ovaqmv6jBqHhbxDFC7xaqlkzXovYAk0cfGIo04+Qf3hkc5ySc0gjtV1jwO+m3zSWP2l1+ysoH2 eQQgMB3X12nucjg16nRRRRXm3xHsrC/8YaBHqNw8MKW9w4ESbpZWDR7Uj7hyehHNUnsfEXhuA3Wn vDqP2C3YraXjKW0lCN33wQruV9effGc6GkarY6h8Erm3tLhZJrXRZEmi6OhETDkdcHBwehqvb2Yt vAJW2uHaKXTAbm/R90t2Vi+WGHj7gAIPAIGeMkmn+LWmtfA+pqLWFbqGwEUscePJ0+Ngg8pOMMT6 9eAeBtFU/GdmmiaDFFo+vRWst01sy6NOysruHjKtHk5jAKgn+HAPStWz8Q2F7c/2dcWtxYXd437+ GcDz9SYcbVcDaYuvzAjgYAAzmlp1pqZ1rxG9zBa3dtDLbpPY2MfzQBYgUaFupeMYGMDOOMHAqDXJ /D91dWr6zqkkjxMs8S2dwwOqJtIViiDKyrkjoM5xnn5WWFtLaLbp4c8NiwZbp1sNWv5BC0hzhkmX BY7vugHBOP4SKSXRdQvEf+3NUuYre0lZrqzsIRD/AGc7ghZUPLPCcsTgj1I4YCDw7qFpqF39g8K6 FYJK0Z8ya6fyEmkjbCTQNhpG+6SR2yMnOSdWBdaTxZqWk6xcWGqySWEUzWsUYgEzB2wVJ6SDqDxn jpgEc9CWt/hVcb7gWPmQXCpKFVkuk3EeTKcDbMDwOSeuM8ity/v7fzzf+AbO7huVZVubiK3Edg+4 jJlVsE467lGQO/aqOs2l/omhQHWtTSzeTXFu7kw/MLYPIzCW3JGSOeQc9/xvz+II7y5iGn6fJrN9 eMYLtLeDbZalEvV9z8B1XHIz6crgjOlbxFfWhvLzVdM0aynjaAsyhjLhv+Pe5eQYV1XcASvXPrzc 03SvC16I73fLf2c8qLa6jezmc2dwuP3UgbKgEgcjg5wT93LNaj1WHWYNHgtbq0gRDqF1FYRLM1uy uB5lqWwcMT8yjJGW45OebtNKsjoFpql4moah4gXWYJNSiZT5luplKhSDjaXAX3Jx2Fd/8NnB1fxZ HFdTXEA1EOhlUqwLLzkEA5GADn+7Xe0UUUUUUUUVx2jKs3xI8WW8uZIngtA0TDKMDGQcjvkcdOlN 1fwLNFpd9a+Fr0acl7E8U1lNl7ZgykEqvWNueq8ccis/xH4mtP8AhBNS0PUY5NM1UaY4Frc8eZhc Zjf7rjPoc+1bnj7/AJEDUf8Arkn/AKGtdPXA6rqGhXvia/tdZ01tOa0niht9dgOxhIUVgrSAZQ/O Mbsqe/pViym1TwV9sl1KOXWdNu7hrpr+0Qb4AVUfPEOowudyZ7kjmqtl4h0cfEjUNTfWLL7DJpER imNwu3h2yOvB9utP/tLQb6+fVPDfhF9cvbh8m9NuIo89CfNkHHH90HNan9m+LtUnP9o61baVavnF tpse+UjA6yuOCOfurVjTfA+gaa/ntZm+ushjdX7m4l3AdQWzg/TFcnF4i8ReI9Mg1WWCex8N3AdW /shg11CFcrlyRnbxnMYyBUvw4bR18YeIY/D9w1xpzwW0qO0ruSxDZzuOc59eRXS6V/yP/iD/AK9L L/2tWF4XvPFdnokOkWfhdo3geQNd6hOIo+ZC2QoBZhhvan6Tc6b4Q1i+bVdWtrvWdV8smx0yzOQV DEAImTk7j8zYzxVXwbeeLrnwhBb6PpdjaRo8vlXl/OW8weYxP7pBkHkjk9jVvVtK021W3l8a+K7m +lHAskYQxTE9AIYxufnpyelSaV4kFnr2naPaeEG0Wxv2kCSzhICxQEnES5Pp1x1PpWh8SJLyLwLq EljcyW0q7CZI32ME3ruwfXGRXLWHha4+G/iL+2/IfVdKFq0Ek0MQ+0QAvvMkg/jAAILDnGOOKdbN C3wKvPs0zzW6/aFgdySTGLhgnX/ZxXp9FFFFcV4sSJ/HvhjfaSXcixXbQwqBtL4jwXzwFHJz6gYy cU0Zkaaaa5mngYhLrUYl/eXT5AFvbheRGCDnHvznJHJaRqtvfrFPbY8IatqG77OQmyymt1AyzI3y u3LYxg5x2HLEuf8AhH/D0ej67o80Nrb20iWY3AW13KSwM8pbDKDkbVcdzgE4xf8ACkVvH4HsLi4N xHYTQRx3MoDNcXz5IW2iGMiMd8dcnn7xq1ZaK/iHx7qcepxrp11YWNsbFrFtr2IJYhQ3Rjg4PGOw 4qG20uK5ubzQddSDUb2wmAiS2ys11LIqt9pd/vJtDAEjgc9flFZE2na5B4u8hNYk1dJNPaK9uZ7Q ymKNZUEgiB4k2ttPAOOe9a3hDwvo+o+NteXUZG15LaCya3uLs7t6tGSCV6NwBjIr1GGCK3iWKCJI o14VEUKB+AqSsrXfDek+JLX7Pqdosu3mOUfLJEeuVYcg1ythb6ppfizV1tdam1a8t4oJHs59i+dA QwAyMfvRjO48HIB6gjJsNf8ADmjeIdfkxZx6LdGAXVvMcSROVbcBEeThuGQDIJ9jVjwd4tvk8JWF hpGgT3LW9szS3d3ILa2jXLYbeclhx2Fc1Ldf2p4t1i48S37WCzWcZtZ7BXjikO1vLzIw3LkE4ztD fTAMstnpdnoPheT+zItP1UXNk2U5W9icht+T94g4yOqn2Iz7bRRXJfEvS7C98E6pdXNpFLPbWrtD KV+ZDjseuPbpXMWWpaNq3jDwlBbBJNRtI2N0sD5XiAbXLDhsdPUdMV6pRRRRXF+JvtK+PNHltntI vK067eW4uulumYwZF/2hn24zkgVUkcT20UEdvJfR3CNJa6fcYU3rc77i5yPlj5BAPtxnAHMyal4S 1D4b2dtJHNfavaaRtLWEbmW3AjOd7rwFGDkMcc9Kkk1bWdC8IKmpafZzwR6YkMeqWbM62SOm1VaM 4+djjLKR94E9MGbxMLab4d3PQp9iE2n2SyB2jiyAZ5WHDO278M4GTk1r+I/C2iaV8PXNhpFuZpmt Fcv9+XM0Q2tIcnB6U3WNOt7tLuHVpkuChUXl8Y8rZ5A229ov/PQ5AyOemckgVyPh/wALSvrusWTv q+mhJUit2e5wjEruEdwY8N8y4GRwDxknGehmtLHTp7Ww0PRYbS71SY29xaXLlfss8a71lVwCx9QV OCMHg5qz4k8M67b+EdY1TVvFFy90lt5vk2CLBCWQZBPBLHI6jb0Faul3rXsWktd3W68kgR9P1QgB bsFQXikA4Ddfl7j5l5BxyXh/WdKm8Cf2ZPok+o3FpdSl2hHkpZsZGKs05x5fHO4dq0dGsLrTtW1P U/Ed0JHgjiV42bfNaQp80c+/aBLjnJA7HOeRWN4d8TWMnhlNJsdLn1W8leaCfTlXCXSZJM4fbgMA QM9fboa1Lm88XzJFO+qWuiM9qUt3kYSG6wTmKWVgESZQP7vUt7isy80XSnsdJ1nS79tQtZ7+3iS8 1GbzpLBgxyhT7pTO0Y4/EEGtnX5rmx0PU2itnhnskNxJZxP81lNztubdj1iY53L2y3Q7gek0jwNo ZVdT1CGTVb26jV5Zr9/Nydo/hxtHGB07CuQ8KweRHqMSWUSzXOoXcKRyuBb36h8mFxjCvtJ2H69R kVoynW4datdY0m8sYdPaE6fGdSjk8yyYyKTHIB1IKbQSQOQMngnGuJdMk8TG8u3vfE2sWYxcx2Sg eXtAaOePYAhC5xhiSCR6V0PwuvLvUNS8TXl9Gsc813E5VWVvlMfy8qSM7cdK9CooooooooorjtCZ v+FpeKlydv2ezOM8Z2GtjxgD/wAIbrLKzq6WUroyOVKsqkggjkcgVxEGrtqGkiPxXo0+reHvJDf2 vPaeVJHu5yUHzbRgfvFA7HHerPjuy13RfBeoR2d1HqOkC3Ubbtz9ogwRyHxiQcdG59667w34l03x Jp6zWV2ssqKBNGVKOjYGcqeQPQ9KwdO8N6RrHjHxNdanZJePHdxxokxLRqDbx5Ow8ZOeuM1o+Col tE1nToNy2tjqbw20ZYt5UflxttBPOMsfpnFZq+GtEPxTuJH0u1cyaWk5DwqQJPMZSwGMZIHJq1eT a/rfiC+0bStSg0ez00w+ZMkAlmk3Juwu75VHboTxVX/hHrPw9430G4tpbq5ub1rmGee8naZ2Xyy4 xnheV7Y4JHeu3rz/AMJTeINJ0WPQtM8MzYtrm4Aur+YQxeX5rlSMAuxIP90eueaXT7nS/B+s6jqu ua5ZTapqhRTZ6dCcgAnG1FJZicnJPpVex1jxFqPj3VZdC0cQRTWduJG1YGIx4Z9jbFyxyC3BweOc VZ1XT7a1tvO8b+M57iMyf8edsfs8ZY87Asf7xxwQMnpWr4PvdEnvL6x0jw++lLZpGd0tsIWlVy+D t+9jKHrT/h0zN4KtAybQJJgpzncPNfn2qHSrCzi+JHiO8aJDJ9ms5PNkAJjJWRTgn7owozVXXtU0 jUfHHhm1tLxLm/tLuRpEhbeI42hfO4jgHIXGea6PxLo3/CQeHb3SvNELXEe1ZCm7YwOQcfUVxepx +H7UxQ+KfGF9rs+RmygbCv16wwjOOf4uv6VB4rvtZ/4QTU7TTfCcekaRBAcNdTKj7QwJ2xJn9SK9 H0+Z7jTraeTG+WFHbAwMkAmrFFFFcD8R7q007V/D95fXF5BaO89rcG1XJeN1BK5HIyyL05xnFO0y 6i1G5ivNPntZVWEeQEKiDSLcr1xjmVtvTtgjgZznfD7wpoepfD4XmoadHd3FykqPLOSx2rI+3bk/ J0H3cUmlalDd+AI9RubxbgT2gi1C8eI+dctsbFvHgclScE89++SMXwvpOrad4Z07VdG1iKS8Fu0z Q6gd1rYwsDlgx+4x2jp1GeMVs+Ab2GPxtem6sbjSri/0+B0W9m3SXjBm3SA4Gc5HA9Og6C3qUbQe LfEwnuEtbOdLOWedFJuGRlZDDHjklzEB7ZOOTxGg14eOrRrX7FazQ6VK0Ok7QRHAJIgI2Yfddv7w yBtAAPJNrwcbST4ga/NpUAtbaS0tzd2zx7HiuMuNuOg4BzjgkggnNd9VDU9d0nRoHm1LUbe1ROvm SAH246muZf4ipfwXEvh7Sbi+htiVmu7g/Z4EIxwCQWZv9kKT09a5ey03UNZ8cXlz4gvJvD11cw28 0a2D4IZw8aq0rDKsVTG0YDH3FXdB0P8AsbxfrX9nWFq15ZC3kNvK4lkuUKtvdHf5lYkg8nGeD1yK HhqS+03wRbXV1pB1HQmMs8kNlEfOaUPwJ1Y/MnHVePlGQR1fJfarJ4h1q8tWstftbzS4ZLy1t3BV fvKPLJ6lCMkNgkE8DgVAjajH4D8OrfSrq1lPcWRsrtIgr2biUZjfPJXblQwwcjB4Ir2IkAZPArC1 DxpoOn3YsjeG6vGGRbWUbXEuMZztQHH41zb+PNf16GQeFtHt1JfyUN9cDz1bOHJhXJULnPzEfqAc /wAQ2C6j4Z1K51jxLe3cFrFIJJllFvbNOB8sUaKv7wbiVJJPpknOI7a0k0vXvBEL6ZZqsjFo7qGB U3q0P3XA5Dqe/QjnrkV6tRRRRXm/xCZk8eeF3TR31crFct9kRwpfAU554OOuD6UJrml6rHqUH25/ PmYx6hsi8u8uM7lSCFeThT8pbkdfUkXPBMMeo/BqGGaNFWexnik8pQmQC6Z474A59aydOtZrnwPZ IdORv+JUBYacqqQZDH811Iei5JOM+uep4zNb0O3sfC8mpWF+2npcWKSXjIBImpXAG8KsY+UAYJLr wBnsDWp468WXLeArqz1ayl0rU5vJe2ZCXinKyI26OQDgjrg4IxWzHBPHfWhi0/y5I026bp8gJW1T OHuZiMgOcnAyT2zksRzOkun/AAmfiSwt9Ql1F7uO3wl6Ssd+SjeYobGFJH3COMDjIHGprP2xLvQd VtrCfUpbK8EaSyMkc0SFGV4Z2PAIbaQ3fn2Jsa9L4o8QaPcw3yWmkaUX8q/ihPn3UcXO5iThAMYJ xngkgnpVGTX9Le4/smzVtTubh1MkWmkbLjaARPE4+VJVCglcjJX6ZdI/izWraKWP7LoshgYRX16y O17GwPySKo2BhwSCDznAHzCqOn6V4WuraMXWozXuoacAkjX8nmrpzbtoUxr+7MW7gkEjGDkDkR6B O9t8Oi9nEZ5LA3Ev2e2bbPBJvYLNEf8Ann1yMHjPJ5FXtO0Cx027MnjzTnvJppQ/9qSS+ZZO78DM YwIzyFyy44zkZrnnkit7W9extn+0ReLWEMUSjyLwb+EP8OVBOOgwR17djqmkW17o72tveE6c8b21 pdpzLpzsNjQyYHMR6HP3cc9iOeuryIn7D4s8V3cyw5hk03T02eWdo2yAx5MkZHrjG71yKt2dtq13 bNpmh+F7fSreWBZJbe/mIWYA/LLDGpysg4JO4YO3Jzg1U1Gz0yMLN4k1y61ua7VWt0i3JHfoh2+W 0cQ3CRWY8nPQcjBAtafrcq6XD/YHh9rDS7K8jt7e9vpfLljkkcRspRR86qW5DNzgZORW78O4pIPE Hi6KW1gtnW/TdHAfkzs6j69cds13lFFFFFFFFFedhtdX4oeIptEFlIYba0EttcAr54KkjDj7rDnq CDn2rQ1nxXp2r+FfEOnnzLPUoNOuBLZXICyD923K9nHB5UkVZ8V/8ks1D/sFn/0Cj4jf8k11f/r1 H8xVyXw3p+s2On3Uokt72CBfJvLZ9k0eVHfuPYgj2rGs5NW8GX+pXeuRnUbG9lSaTUrWMAw7UWP9 5EOQMKDlcjqSBV7wPeW2oP4hvLOdJ7ebVnaOWM5Vh5MXQ1Mv/JTpP+wKn/o5qz7h/EGleMNZfSdC e/XUIrd0nkkWKGNlVlIJJJPQHgZ57darXl42m67Y6v4x8S6XbGx8xoNPtIyTl1KZJJLtweyjmtP/ AISfXNUKroXhm48tzxd6mwt4wODnZy5GD6CqWp6c8Ns95438VlLZk2/ZLNmtYs+gwfMkPXjPOelW vB194dluZtO0TQZdNW2iWcNNaeSZA5Zdwz8x+4eTTLBsfFzVkx10qA5yf77fh3rD8G+FrLVdI/t2 1la01uO8uANRGXMuJT99W4IIGMcEdiK0/Beo3V74x14ajNp73f2a1GbCbzI3VTINwzyDk8jtkVpf Dp1fwVZhTnZJMp+vmvWV4ttPBKazLf67qUr3M0SQtp8Nwx84KcqpiTlsluh45q5bT6+yrb+G/C1n o1pt4mv9sf0xDHk++GI69qg1XRY9P0e51Lxp4nvr60jAaWGLFvC3QBdifMcnjBbBzzWb4f8AEcd3 qEWi+C/D1lpkctr9qF3c7QGi3bN2yM5ZsgcMwPHOOtWtX1G61f4IXOoXrh7i40/fIwUKCc+g6V2e kf8AIGsf+veP/wBBFXKKKK4nxsJz4r8Li1vra1m33WGmQMUXyTukH+6M8HjJXPSqFz4RthJ9p0i4 n0y/kwbUI2571gc+bco3DLuyckDGc9SBUnhzxDF4b8OxaHrzrH9nkeyi1GLLWszgZA3/AMLc4OcD KtzxxQ0R5D4R0zFvFcalHo42jcfJsbcof3jf9NHHpyenABJh8IQrH4O0UTWKskqh7PTImG6/nHJm lPZF4PPAwCedqiLXdVspdWlttUtRq1qkCzapqVpE0jW5DOBHFk/IgIwXXn72cE5FbTbTUdP1saxo ZTxHc30O9IJbjzpdOQDCMX3bXIBIwSGPIB+8alsvEXhiTxfazW+ty2jwWMrT3123lvNctJGSsgON wwpG3oAML040tE8W3mq+J9UvNC0Oa/nuLK1RnYiCBWVpQWLNyUOcqQCSB2rojovinWWX+2dbj062 IO610gFXJx0Mzc469APrVgfD/wAK/ZJLeTR4JjLnfcTAyTsT1PmNls++ayLrw/rvh+UXOnD+37KC RpbexunxLbSNkmQOf9ack/e5wTg5rG0u+tbvxH4guVt7jU7CS2t01eG5idbiN8yglUPQIAPlHOME Ekc2NLW0/wCEt1SzudQlmW4jtTp+rrjcjbG2KX5BYqTyeGxg89dz4WCMeALHy9/35t5fHLeY24jH bPSuV1XUtK0r4g+I5kv1tmeyiAgt03/aX2sGUqoyT0OeMY54zWNYrfy+B7f+wYU0/T99lFeJcyb3 +0mWMidI+cAnbwSAykHHFekjwQt+N3iPWb/WCesLP5Fv/wB+48Z/Emt+w0vT9LhEOn2NvaRgYCwx BB+lZut+E9P1kvOpksb8xtGt7atsk2nqrY+8uexrj9afUvD2h6jD4h08XdpDYvb2F3YQjyIwUx88 OfkbOPm5GOBju145YtR+HwjukubMudjFy7q3k4K7u4HPuOlenUUUUV5/44ultfHnh7zJp0jmtbqN 0t1zJODsIjXuCxAGRj6gZqDVdJgvWcXqwwanFCpM8UhSLQ7ccgB1IJkPPf5ueijnN8Maprek/Cy3 km0aPUNIeyuDm3+SWAAv99SfnVuu5egJ4Peey1Gzi+GSi2uS0b6aLee4GJJp5vJyIY8dkywOR8oB 9zTbuNv+EIvs3EcuoJoeJJtn7ixhMYxCmf43HXuepwAopfHdx4gv/hpdyT2Ftp2npHCPLmbzbiT5 0APynag5z1JwO2eEuLO9stMmm0zUZrvwxAUWS1uZMG+I4aOB8FthOAFzhiSBwecm08WacvizxKmt 6BqEEV3BbrHaRwEPCIgQpPTYeVIYcD1rYlj8X3kt1G9ra6VI9s0a/bdkk2qKo43BTsEijnOep6Yz jB1O+8PW7Lf3GqXPii/tVEyuVMkckIzmGZBwuCSQxzyQTkcV2Yt9KfTDe6UzJoofzXihjMc2lzYz 5sa4yowcsuMYORkEg87pWhaxqLT+IdTWHxVaLezK2nK5VUKSMvmRJny3zgnDDp3JrSsb/S9W8ZEe G5ILZo9ICrYPGIldlkcNDJHjjgj6cHkVQ0xYrv4c2trcXX2S1uFmszfxn5rCVpD+6kHeI/KM5649 QQ/xFdw2ssln4n8YXF9E6NDdadYoIGT5cq4RcllxyckdfTisLxPd3UWiWthp+lf2FZebbvI8qhWm cNhJooQS2cAFuSeg6jJ6G40wZuL7X9buNVzbm68m3ItrXUbdVy2AhG6RQCSGJyMDpyNDShq7WkUX g3w9Hp2nOyTWt9euqYRjlgYlJZ1x03EHkegNV9KvdQEWrJqepQiKw1B41uLOIh9OYEYYoSf3Lc5B OAMjp92tqltpl/8AES1fWJv7Jlj0+Z5Z0uWhWRsgLLA4OPmBJPOeCDnHOM63d9bW/hzTPtms6G9z 5tpcz4t1ldJWeRN54mLYbGcc84OM12Pw2eJ9b8VmB7loxfRgfas+YuEwVbPOQRjn06nrXfUUUUUU UUUVxuhf8lU8Vf8AXvZ/+gNW14n0rQ9T0Wc6/axz2dujSuzKd0YAJLAjkHGelcjrkeuR+BL210yY eKNLurRo4J4mX7RECMDO3iUD2w31q/4y1jTta+FusT6ddx3CLbAOEPzIcjhl6qfY811um/8AILtP +uCf+givP7jxD4hs/iBq1vpq3erILiGL+zfJPlRxmJGLiYnbGcluD1/Ktmz0+21k3OseG5ptC1VZ mivIniyjSgciWPOGPzAhlOeQcnpWTHqPi1/HkiDQbNNRGlLGzPef6Pt8xiJBgbiCeNuAffvWtd6D qM6teeKfFzwWiqd1vYn7HCOpIZySzDHuOlVvDer+BrPX4NF8PWQee7EjC9jiLq5UFmBmY7mPAPGR yK7qvLfC3hOPXRf69FfT22tW2qXMcN2zGVQquMKyMcFcZHGOtbnha71C68d6suqLafa4NPt4ne0k 3xyASSkNjqpIP3TyPoRU+nlf+FtauDjd/ZcGOOcb27/lWLc+HfB+gi7tdb8SXE1tJNJMmlrdsqIG ZjgRIdzdSMnrWxp17fJBHbeFPBy6faNwZ77bbKvHDeWuXbt1wfpWR4K8K3ereGrWbUvEF81k0kpW wtT5EY/eNkFl+dhkZ6jrWhZRHTtUvND8GeHLG1+xMiXOoXR+UFlD4wPnkOCOpApF07U9K8eaI9/4 hu9Ra8juQ8TARQqVVSNsY6de5J4qb4sMF+H14xIAE0BJPb96lYOryeHrXWm1LwPLM2vOMuul2/2i CcEglZMHYoJxlgQRWhqdhdab8DJrK8i8m4i07bJGSDtOema7bSlK6RZqeot0Bwc/wirdFFFcN4zg d/HnhCc2BvY0e6UJxjzDGCpOemNpbPbaasec91c3YXUJQgkCXeoRqAdwI/0W37+uWGSCT/Efl4Tw efEL6VBPY6dc6vYW8UkbxX8SLFbEsMtBlv3uACMHHPcbjVu50CKHQ7e+8Oz3CWVzD5lvpF4xZL4h CTK4DYQBQGHbIHAyBUfg7WNLn0Cys55LjTVFosdzczgrLeqGIEFsf7ueu3nnAGTkdh4dS7Tx5fR3 dtb2iLpVutvawYIgiEkgCsRwW6njjkDnGTl22nrZeLvFNrBdQ6do5ltGmgtTiVmaPlEA+6XJGT1P bHJDNSW0Hjm1k1O1jaKLTJN1vbKm/Sl8yLa5IOdw3ZyOgOQMAk7fhdro+M9YW6mjuNmn2IjuYzxc J+9IkwOhJJ46cZ712NFFec6n4itdJ+IWqXNvfCW5FhbLHYxAyfayDISgCgkOMrg9t3IwaxtP1bUJ 9Z8R3fhvQoo9Lk8hb631KFg8Tch2ESkkgAsSo/DniqvgrTbu68LW1xf6rf3NhJI8FjpFnP5Qnk8x icsCCEGM8ngewANjRdL0yx8W+JNOt7m2t5zpqmE2QAETgNvRTzux0O7k8k+10yQah4A0afyZ7G+t l01ZY8YFxD5yKhJx8y5+Yd1J9+fVKKa7pGhd2CqOpY4ArivGPj7wxb+HtQtF1SO6muLaSFFtQZRu ZSACy/KOfU1zcK6mviLwQ1xYR2Fo8hZI/tIld38nBfaBhAQBwD1OSAc59boooorhfFss8XxD8PG2 MCSG0u/30+cQLhCzgDqQoIAPHNR2sImaFBazToxM9rYzv+8nfH/H1dE9BkDaCOOOM4C43hq18UXP wph36vbaRp8VnI6yRwmaeSPLHkkgKMdMAnHvVKHQrT/hD4r62ultNSi0sS3V5bqqwwRGAAQuhOGd 1I5+9nnONoqnqmuCDwQNL8RaZLbM2mKNPtYWWSMsV4nkbJIbI4B6c4yTx3PxC2N8KbjeDJGY7bcE 5LDzI+B9adNLNdX1u3lpDfQxb47aUqYNJi6eY4BAMhQ8DtyBgZJ5PS5YT4u11rC7uJHnS1ji/tAO Yb8NGwIkYnjzOSmcDpjg4rW1WNNXGhabcQG80mTWQGE7jzLZgkmbeRcknHY/3QAeME7XjG80Xw54 M1PTbKaxsLiS0dLe1j2q7krtGEHJzwOlUvD0txDZaQ6Xts11JaRpExjKrexhFzE/OElU9D6duoGD fwabo+nzRv4yvrXSruSdorKyjWKWzdmJIZB+8ZVJII4wQOxyIreKS0luIfC/h6W3NzbJNdyX7NE8 bbvluYss0rKPmJXqPl4ySCzw7ZqfCUd9rWsXKQx2szLZofJgvrdWcnJX5mblj1BGRxjrraFFqE1l bzeB9BtbSwIEkF1fyKjrlstGwUu0iEHjOCPwFY099e3ekyxahqVqqWXiQQvJGm06cRIcMmSSYj2z gjkdBxteI7c/2HrNsLKOQm2kuJ9PRuEYhtt3bn+6Tyyj1PfO7S8N+M4v+Ec0zT9MsL7Vr6LT0J2R mKOTYqqxEkmA3J7Z5qlp9peaeLvVtUfTdPe5uZbi1vVuS0J8z71vPuC/KSPwI7Hg0F1jSZp4Y7DT p9QltDusrhIPMXTXzgRNK3yGI4JDZ4U/Qi1c6f4hvRdT3l7DoQkkSe60zT0DzkAn96kjZy+FB+Qc 7SPvVc+F1qLa/wDE/l38uowtfLsvZDuMx2ZOT3IyAf6V6DRRRRRRRRRXHaGxb4p+KASPltbMDgDj ax/HrWx4wOPBeuE5/wCQfP0/65tXEwaFrfhLw9N4otdRsrZ4rUTTaba2xW1nVVzyC2Q5z94Y6Dj1 0fif4d0248I6nrSxPb3yWw3SwSFPNXcPlcDhx9at6d4ovtAsLKLxZaxQQSooi1G03NbgYGBJnmM+ 54PqKu+FpY59e8TzQyLLE99EyOjBlYfZouQR1p/hP/j/APEv/YYb/wBExUi/8lOk/wCwKn/o5qoW GjWWreONfbV4V1E2UkBtRcjesAaPJCqeBz3xmrOuwW6eOfCTqFWRGukRQcYQwknA+oFdVXndz4X0 Xw2ly/iHxTcDTri4lnSwEvkK7s24ghDuk44x+lWdG1C4isDB4M8EtaWxY4nvyLVGPHO3l278kduv asi18P3+s/ErUbXxBqsnmf2bC8i6YzW6OpYjYeSxXr3Gc/hVq18S+HdGv10XwXoUdxeTu6LcyHyY XdfvAyv8znPYZzXReG7/AF2XxBq2n63PaSNbQ28saWsZVI9/mZGSct90cnH0FHw7ZW8FWQBzteYH 2PmvWPF4mtdC8X+JoTbX97eTXVuY7W0gaQkeQgzn7q8g9T2q5DYeJtd8T6Xq+p6fZaZaaa0jJCZv OmfemOcDapGOoNaHiLXvCqwS6brE9teEgM1iq+fI5ByP3a5PUenas8a74hurMJ4d8LrptsucXGqs IERf7wiX5sd+cVkeNNE1C48Galq+oeJri+CW3mR29pthtSfcDJcc9ya7/THMmlWjkKC0CEhRgD5R 0HarVFFFed/ErdP4i8NWcV4+nzTfa/LvIwS6nywAgHfcWA9fSqNprVzpeqx2Ws6fa6ZqMMaJaOzh rCwhYcng8SHawwTk8AEDOej+Hkxn+GlgxDfLDIg3LjIDMAR7ccGuW0KL/igY5lvZ1tTpiC7v2YmS TCHbawgcqqnIJAznIHJJB4X006/4R0nS5lg1C4+yLgvHmHTYiTh/9qZhjAzxjPAzuXTbafwVruoa 3pMs2u6VPstZmuZ83Mkqk/LCSMS7RxjvggfdNP0TVxrPjrxLfaPDJbvLFbb7y9j2CwVY2EjFWx83 GAD6Ek4629ON5H4u0+XRbVTbJptxIHus+dqI82LzJMkjazHBUt17gAjGn4PWwXxlrp03esDWloTA zf8AHu2ZQ0eP4cEfd7Emug1jxPpGhgreXYM+MrbQgyTP9EXJ/HpXOat408SrZG40rwbfLBk7ri8w Ci5xu8lSXPrjisiwebxS2658Ry6xdTsTHptq7WtvBF0JuFXLDHPylsnp6kQeG9F0W18WXthos/2G 8js7eSwvDGQLl/3hkYDoyNkAr3C5H3c1r6Y+r3PjDXtQtEMV9apax3Fi7furj5G3KrHv3V/wIwTj O8HeDIb3wVa6nompyabqtwswmuU+YPuYhkdc44wBkYIK1RtDNba/4js9Y0KKCCLR4YpY7RzKiAK2 11UDdtPJ9V7+tWJ7iUfDrQ4deijSa3ksJbK7Q4jkQyJ8pPZlTOQeDjcOnHZ3PjvRVma205p9YulO DDpsRmweerD5V6dzUXn+NdXcrFa2WgWx/wCWk7fapyOeirhAcepP41ymu6Df6bK7eK1v/EulSybm uoZHzbrg8G3Uheo++OgY+1SajONQ8J3moaZb200gsJHsrCFgIrGAphnfHHnbD06joONxKStc/wBv eAory3VmRiYbuNMLJGYeFPJIYcZHQ9R6D1GiiiivPvG+mQ6v8QPDVpOl0ymC5YNakhkYbMMSCMAH n8h3qlqU+teH7eZbuQ65pUsnl3N3bAJfTjBHlAZ+YKSMlMEDd0wTWl4EmMvwbgNuEjlSznUCIZww L84J6nqfc1gQgnwNZ28lrG8o0kzWemI4IA8o7rqY98nO0dsjv92S9WKb4YXbpM8Glpp4Mt3Mcy38 +z5EBPIjVsD3xgYAJJ450FdA+HdzLpmpG1s7iKDfp8rF1371OYSWyhzyQMjAPA61LpviPTtXt4rO S3uI1BVl0q4f/SdVmP8AG7thXjGPXBxzgAKU06O/uPGXiqaQwaxCsdrHfWkUS4lG07lTn7ydh35H BxTPEn9j3lxa3d9q/wBjkjdbm1u4blovt8K5XY4X5lmUFlBxk8gdwsOnyxGZo/DXg+NfNm2Wms6k xilSbHIYtuckYwOQD0x627jStWvLi7g168naXeJbvS9M/cx3EQ48+I8s5GF3LwcjHpuoeEdThmvm 03wdY2c91bMY7q7u/wB0l7CQQGYHMhcHrgY69MgDQs/7Q0nxFcaZrepxyrZQLdW1xbQELpzyMRt+ Y5MWBjBJGMZxgYx4rt5fhBMscD30ItpGmRwVltpCx2zID1iIJzjpz/tCtrUNXsG1Tf4FtL1tYlQu XtIAlndYxnzN5VXHbcvI3cE9KyZotVtNF06+v7C1jurjWRcrIrlEhdpWZoJ89gScE5A/U6Fz4r0m KOK30RL69Kyj7N9kjB/s5wQDEXOFMTY5BbGPbaRLZ3HiLUrXUE1WWx8LW9iwlnWPdLcQMACJI8kq sbDI44+/6mo9N0XT7iRL69J8QyQrK11DNKbhJ0LFTcW4+7uyNpQDIxjqAWZ4n8Q6pZavHZ6XIDpk Vg0sl9a2PnhYnLiOJ05G0FNucZxnpzWXY2UR0jwxrh1lrvXrvUId93cyealqGDkRbc/ICSBj1zjG K7nwOkra34ruZUEBk1IKbcsCUKxrk8cYbOQe/euxooooooooorzoaDba78S/FCSSzW1xDb2Zt7u3 cpLCdpyVPvgZB4NTeJr/AMR6P4T1Wx1izbV4Z7OaKK/sIsMpKEDzo8/L1+8uRweBWh4juILr4TX8 1tPHPE2lth42DKcJg8j3qT4jf8k11f8A69R/MV0FgiSaRbI6hlaBAVYZBG0VykWiWFnruoR+DdWg 0/U49j3emsu63ckAgsnVcg9UI6jNN8Jay2napqdh4jhXSdT1G+NxDE75jmBRE/dydGOUPHXkVqL/ AMlOk/7Aqf8Ao5qzdf0uDTdZv9XuvGkmi2t+kYlgjEaOxVdo2u2WzgHhQD+VUtH/ALOtblbnwp4W v9Vuiu3+1NRdo1KnjIklyxH+6uOuK110PxVrEbf23r62ETk5tdJTadvHBmbLdj0A69awLfVPCWk6 4LDwzpseo66WMX2m8mK/MMKwM0mSx/2UyeDgV0XhzUPER8R32meIJrKRktIrmNbSNgse9nUrk8nG zrVaw/5K/qv/AGCYf/QzWF4Y1bwyng7+yfE1xbPLHfXCrZyDfMhEjEYQfMp9CK1fANtdR63q1yLf V/sE0MKW9xqoCynYZBtwfmI+bgtz69qXwh4m0TRvBFl/aOqW9uRNNHsd/m3ea/AUcnqO1W38Wa1q EkiaD4XuDGOPtupn7LEP9raRvI6dh36VkobLxHq9vpWqeOJr27bczWmlHyYMqMkb1yTj0LZ9hWj4 jisvh94QvNR8OaVZW9yDHGGaPqWdVyx6nGc8muUtY7ufxqtp8RZJxA9uwjE8xSylm8wbRGFwpG0d HySetaLR+R8DNTthK0qWwuoEdjk7EnZV/QCvQtKwNIstrbl+zpg4xn5RVuiiiuD8am7Hj/wl9hkh in2XuJJ8lIx5a7mI74GSBxk9xUl1bWZ06KyubSTUEuJS1vayP+81OTqZZfSMZzzwAAf7orltA128 tNKM2jXm2OOBpbnR79SkZLuQi2hwW25yB1H3RwScXNDumbw+mlXc8EXiCw09orfTrqNlFqqIVaT1 Z2Uk5B6HjgEm54W8pfhnpMCF7KzljUTeQu2a+kbOY06EFsYLemcYHIYNF1e98cyfZdUi0y607TIX tLWCJWgtwzSARSDncdv8Qx97jjrQn0+01zUbjS76z+wa3YqFaGwkDT3kr4cytIRgxc5ww789ADTE fimTxzbwQapY32sW9tKY7/znhimIdA0TKF2uVAIKrjrkkFa0fD+h6r4i8X62niDVru0u4YbdbuDT T9njkz5m0FhksMAENnPzEdsV6FpHhnRNBLNpemwW0jrteVVzI492PJ/E1qVz+veDNL10vN+9sb1s Zu7NvLkbB6N2cezA1zNrDdr4u1ax8RG3lBt7QRX1qhQQlWmMUhU52tnPI+UYHY07T7W+k8da2G1C 3j1y3it2t2XIS5iCtkOnoeM4ztOCPSjwR4w8P6X4NsbFZzNfxxs0lnaRNLKX3MWGFHXqecevSudX XfEniDxTrmoeH7G2sRLpce9NR4dogWw67euRnrxyPaoR4YhfwRoupRajJrNjJLZxvDcXBK2ZMqh1 VAQp5YoQwJHavZ7e2gtIVgtoI4Il+6kaBVH0AqWiuH8beFdPg0HWNT0+7bRriW2kM5hkCRXHBJDq eMnpuGG561zfh+aLxBr3hcaA9xNp+mbpLpXgIitX8pVKrJjByTnbzyc9K9coooorh/FZRfiBoLSX UsKiyu8xw58y4+5+7XHc9fw7danmjlR554ZYYbyCLD3DoDHpUBGSiADDSYGT9QTxgHjtOtPDGn+B tPW01i40zW7jTzI62DGSWcsMkSRqDuHPGQCB0PFRWusTR+AobHVorjTLN9ObOoBW2XzCMCKIPgFB g4I6HaQCQTnW1MTP4CkutRSOWdNGP2S13/urWMxbTIzYwZGz8o99o/iam+MfCWk6X8OrnVpkn1O/ VLdvtF9M0jgeYmVXn5ARkfLjrV/U9NstZe6k1CRXSCRZL7UuT9kZQP8AR7UjkEEckdyerHA4uz8O 3H/CWata3GqX+mW8NtbxRXQKRvEHXESTEAEZ6Njv1Oea6i703SNPkiTTtBszq91cR2N3bXUj7kfa 7rMspBbkrneB83HQg07X/C/iNPCetalquvRxXD23my22nwqkUjoMgszc7uAMrtOFHXjGvpk73una Tb6zc75pUjm0zV1wCZSuSjY4D9QR0cZ75Fcp4fu9Im8FppN7o19q+qW09xNssoGSS3JkYh/M42Z4 6Enpwa0tL0zxPa3Wra3qMi6jE1mLdbeUq0k9rtLbhIMIXBOCMYbB9QTi+H9ds7LwjpMe97y9gtSb drSMM0RZyGguP4PLYlepz34IBO7eQ+JbmPfcfY/D1naSCdmDG5n07CsN6gYURttxjkAZ7ZAyPEGg 2kH9kXOqXN7rWq3OpxCaBp1aC8Ug/Mi8KAVAAx0PB9a2NYvF03RJNQsmVY/s4jtLgxL5V1Hu2m3n iIA3oS2OM4B/2hW/ZfDjRYnEmpS3esSCIQr9umLIsYOQoQYGBx1z0rB8KWYTRS8F6I4rO9uUjMcY 36c3nN8vvEygbh2znPonmeINE13VdZ0/w7EgnghS9aSRvKikDNuljVRmSMhg5xg/ezzms++0nR9I 1pdc1LxJaXWp3Mont41iCW10qrjBSMH5sOcMSTyDzyK6L4a2NxDPr1+1nfW1rfXatarfqVm2BcYI JJwOgz2Fd1RRRRRRRRRXG6F/yVTxV/17Wf8A6A1dFr99Jpnh3UtQhCGW1tJZkDjKkqpIyPTivONu meIFu9Gjuh4Y1++ttk9irq9rd71zuCjIyfUYcc8GrnjjxNKngjVdI1/T202/kg2QsuZLe4xg/JJj r1+VsH616Dpv/ILtP+uCf+givPp/C194h8aa7LaXltpotr+FvtqQlrsEQRnarZACeoOc+ldLoXma 9puo6V4ijttQawvDatJ5O0TYRGDlTna3z9vTIxXPL4Smj8dyaZbeItWt7X+ylYFZVaVU8xh5ayMC QoPPc+9WZIfD3h7Vns9H8M3Wva3Dh5ZmXzHjZgSC88nCk89Pyq7HqfiuLxRo0Wq/YLW0v3mQ2dvm RhtiZwWkIHII6KMe5rsa870jWPCqeEjp2uz205fULuMWu0yy7jPIwwigsDjBBHTI5qz4E026t/EO qXhi1oWL20MEEmsYEuVLkqB12jcMEjuaZca/pXh/4navcarex2sTaZbhS/O47m4AA3E+wqe11Lfe TXHhPwWXkuGZpdRu0ForsSTnLDzHGcnpVuLRta1mSePWfFGzaQXstIxEIwR91nOXIIz/AHfaq3w0 0PSLfwtaXsOm263ZaVWuDEPMbErAfMRk9B+VQx2f/CVePtesNYuJ59P0hrZreyD7YWLxliXA5fns Tjk8U/X7O10zxl4LtrC3itIBcXIEcKBF/wBV6Ctfx3ps2q+DNQs7a2NzcMimGJepcMCP1Fct4k1j UbxW07xHqGiaHZ3ShfsQQ392x7fKBt545AOMVQ0pp9X0W6+H/h7Rry1s7YFLi/1RwrRBmLn5FHLH OQOPfFerRJ5cSR7i21QNx6n3p9FFFcF8Q5LLTtf8P61qdq09naeeichY/PfYIw5P3V4Y56Db+FXP tIDSTPc+c0q4utUhX7wJwttbEcls+mef9o8YHgzwRZaj4O03Vr+81GS6hhd7ImbZ9j+ckeXj6D72 c+gHFQ2sth4j8F202owH7I0CSXmpGMm5ubsjlIuM8YwWHGPlHAJGZ4cu/EGjeHLO+tpI9ViSxGGS M+bpMJYlm2/dc7ecZ3fKONtdJ4E1XS9W8day+lRTrFBZQxSy3C7ZJ5N7lnYEA5+bHPp2HFRFZ/8A hYHjBmufsOn7LP7ZdrnzVQRf6uPA6tnkjkdhkgh81nY3PjLSrHUraLToDpsy2FvHxLakSR7H3D7r nBI6Y+7kkmtbwx/aKeOdfh1No5JobSzRJ4xjz0zKQ5H8LckEDjI44rsaTOOtYF7448P2d29kl4b2 8QEm2so2ncAdc7QQMZ7kVxmmeJPEPiXxLqt1pFpHp9jJp0bNHqEReWRcvtljjX73GRtzg8c81Q0/ wvpuo69qa61qt1qMEUFusOpLL5SwO6kDKg8dNoJ6dDTPDV/beHfCltHq2jNZ6Tco0z3cDb/t8ocb Ecj/AFQ9mO09MgZB0j5Vx438RRalKIZrjSoJYBA5AjKqSFWQYz+m7njFU2KjwZofmg6Tdu+n7rZS vlalGHj2uvHLgbSccjGDkYNeuSSxwxtLK6xogyzMcAD1JrnJfH+hyXr6fpTy6xfJnMFgm8D3LnCA Z4zmueXxb4l1nTv7VkEXh3S/N8qEKgubu8foEiB+U5OQDjn6ZNZdjpr28t1JfX32vVc+dd3uoyCe LRYSQyqwYbGmxkAL0OTwOvoHhGKxh8PwrpthNZ2uT5fnoFkmHTzW7kt1yeTW3RRRRXB+Ob2XTfE+ k3lnE15dC3mh+z20fmXMSOULTIuMcBSvPdh15FQaTeaRqqxx6HdRXbRI81naM5Pz9GuLrvu3ZwDz znGejNAsrXTvglLd2doLO5l0iaV5QAJHYox3FhzzgEegx6UyKS4k+HVok9sk90NG/cQK26K3j8ni WQ44YgcD14H8RrldX0aax+Hhn0e+uLPT7u3RpLC5y7XrBAWdBjcigAt1wQoPA69D4x8T2eq/DO+0 uSKax1RYbcGyuU2u/wC8TlD0kHuv6V0UZkgFvDHYQxzoudN04/6u0QA4nm7qev54HOTXI6Nd283j vxF9lvnv5rqK3SJrsn7NekqS0ZONoDDIT2HGRnNnU53tJtEvrXTrnUYLHUQiIADeWfyOGtpMnkZK lWJ6DqcgnU1q58V+KdKuLNrG10awdvIv45H+0XUcZ6uFGFxj3JxkjpVGTxDo2mS/2JLJFqDBVint LRGmN8oQbJo9oIWQbeQSOmc8A1JFqviDxQdMjhjj0eYAzWWq3ZDSXCY5URoSu4gDcjN7gZXij/wj Wn31jc3Wo3dxqTWokjv7aC7/AHdjKQSZY4oxgq3B2+5yCQQK+kardWHwogGiwW8N3JGkc1rdoCko eQR+coOQ2SwBzx6gY53tK0zRLzVIbLxU1++sIu2K21OcGKRRgnytgCSL14OT1BFcp5sy+G/CKW95 DHFFrOBNKoJtJNz4XbgZjI569uvTHW+ILHUdV8Pax9lgNvqLhFvrBwXjZlIImiwMnIHGOuMEbhWd rerSizWTxB4sUwyqLmGOyY2sF1BgB0VlzIXB5AJ54Hc4Zaai1vqdlo/hvRbx3ijJtrq6UwQy2pJL iYMMsoZshsZJPrndDaTaxeq9zqPiJ7Lw1bTeXbrpSMhuJTlRDA2N7oM4BxyfugYyL+maNZeFrmC9 TQ7Y+Jb5SthplufltY89Xfrxn5pDn+6vFd7o1tf2unIuqXv2y7b55XChUUnqqAAfKO2eav0UUUUU UUUV5/datb+FPiXqV1eh5rfVLSF3e2UyGzWMEFpVAyFOeG6dfSui8TXVve+A9ZuLS4jnhfTpykkT BlP7tuhFc9qmlaTF8HZp7TTILfGmrcx4UF0kCAhtw6sD/FmtfxzatqXw31VZI1jk+wmYq+G2FV3k ZHfjGaq6Vo2uaBY2smhXn26waFWOm30hzHwOIpcEjvw2R9Kh8G+ILe88XeI7OeGWxu55obhba6AS QjyURgB3wU6jg5FaHhGbdrPimDYRs1XfvyMHdFHx+G39aa1wsXxYSAqSZ9EyD6bZj/jVUarp/h3x 5r82q31tawXNrazo8r7TkB02gHqfkJ455pja0PE3inQbrR9Ovriysp5jLePD5UOGjZPlLYLYJ7Cu uvtRsdMt2uL+7htYkGWeVwoA/GuOsdX0nzXl8EeGRqFzNMxkvPK+zwjccsTMwyR7KD+HFXl0TxFr LOut+IvsaHk2Wkfu9oI/ilbLn8Mf4U/D3h7TfD/xAv7O2tVkE+nxXKTTMZZUYM6N8zZPzZBOD2rF z4y8SW8+oXzyz6ZHczW02k6bILeYBGZTlj9/pgruGfwq94Au9AHjDWLTw9bCC2eytnaPYVaJ0Lqy uDzv+YZ+lbXw2uBP4MgUKR5M88Zz3Ilbn9azNS0jWNI8T6zrEev6ZpGn6obcyXE4zKgjXaQob5QT nqc9RxWJYapp6eJ4o9B0nVNf1tofMXUdXkeOOKNsAuAw+VTjqFGegNDX2r6x9u1DxB4jk/sKFhBb x6Qhh+3zHI8uM/fcA8Z6E+wJqvZ6THoU7tbWen2GuOiyTSABo9DteeWdsh5SCRk8k89Bz3Pghv8A QJls9Mey0lWU2bzgie6yMvK+f7xPGeT19AOnoooorj/G1vbveWLR2323VJFeKzhuF320I48yd1PH yqepPPAHWuM0yF/D08WoaBdvfWfnCCwsLld39pTkjzZoQMCJQOjgEcN2PPS+CPEmmwaBH4YvZltN VsYnhkhkYbXIzko4+VvwORVPwis954W0eG4t4ZdRksBFCBkLY2pUqJWyT8z7c5HXOBgA1X8MxpH4 H0eKS1H2Zk/0fTowA+p3IJ+Z8f8ALMYB5+rcAAmszaLZ+JzFeapcWerQqtzd67ADtiycC3wAVAwB gMCOO7Gqf2i+8P8AiG613XbU3d1qKK9lNGCIYvLHliaeEHKYVgdwyBkgYJq8t7Zx+NNPmW2k1iyu 7W4trrU32bJ2Do7Mo7om3AA4AzjO3l+na7YeEvH2sw6pqsl8L61tntZUjMkjKpZRHhASzc5z3610 M2t+KdYka30PQzpseAft2rfL/wB8xLkn8SMVV1P4e3et6ckeq+KL+7ukZX+ZVW2Yg5AaFcAj8c+9 YsdivhS0/s/XtHFnpCky3F1pqGSO+fP3ZQFDRp/sn5SOCcdZdOWPU/Gl8tzqdvHqs1lb3GnXNmMp AoMg8oHo68jION2TgDAxa0VLmPxt4ihktLXc8Vu13YIAVuAVO6VMj142nrnnnk6fw5a31L4d2EUs CvEFkheOVQQ212ByD246Vx1ynh/wh4z1bSohDNZ6nYxJDaqxmaOYswVFTnPzc4zxkYqGSLxPqmla P4YvYbGwbTljuXvLh1aeziiC4dlHyryCBk5YDkDBNXptLS+1Bb3VJL7Xp7ohdI068kCrOADmeSIA KifNxx0GSMtirlrpllb6bf2cAabSLZzLrF3bxjfqE+OYI0UcIDtBxxj5f7xrUi8O63eWMd+Ut7C/ IEFnb5zHpdsSASi4KtMAOvA7A4HOvH4K0WO3sLcxSPBYyNN5Uj7luJWGDJKD99u+T3Nb/Sloooor mfFdrKwaXaLbT/JZtRubdSbmVF+7Cm0Z5JOT6DHeuLk0VJdQkumSPRdQjTzbu/smMUelW+PlhAUg SSsPvZHG7/dqa21+TRvC0nhfXdNujZtpsyw3METGVYBuRWmiGTESOc8j6YOFsLZb34dRxwbksJdN VZniJae/uvL2iMYGdi4A9wMcAHKTxzTeB9QZbmObUF0Urd3ON0dpH5QIt4+2WH3uc85P8Ipni+/v /E3gCRrXw00NlBZRzLqF86pIuNrfulG4nIA5yvWpYbrU9DFw5mbXtFadI57vH+m3bY2mOPnEqK3p jjcATgms+w8V6TF4h15dXltG0y7itVexjhcSxMF27VXaDlAozwMcEYIxWimq+JtQuvLsNMiiFzGy wajqYwupR7WMaOirjcAwwSRnB45xWNfnTIszeIfFjX9+kZVIWzGm2I/NbzxR/MDuZsMSc/hg9NDD ZW1i8un2z6bYq4M8UUSpc6NPgfPgD5oyMbs5GDnlScc5o+kyXOnRa54tgvNb0q8ka4H2FiI4HyQX kgTGc4zuXPU5Hc7eh6fpk3ivX00LULe1a5S2ltHt41MJj8tkaMgYzkgkjgg4PUGsO2sryX4cWKWL pdLZTxM/nht9ltkJd+BloTszgdMHk442dfjGoI8PjjxJapbQuJTp1uqW6yJztkjdiXkGOwwcgjnj ODqt7YfZNIfwzpZ1Oy0W9Qx3sh8tZlyxFtlhl2y/GAev1rZFl4jvbmztZNbfTJIFMl1DaAD+zrZ/ m2SStne2BhRxjBbtTbbTtF32moWmjeY7yMdHt50LTahLwDdTN1CAtkZxgEt1IA09N0R9du7izN29 xbNITrOpIoQ30owPs8bDkRKBg49MZ5NdFpnh1xqcl/qiwOLeQx6bbRf6q1hGApC4A3nGc9gcA9c6 0OmWVvqNxqEVui3dyFWWbqzBeg9h7CrdFFFFFFFFFFcD4xVbW5uzPZNaaXcPH9oNtzcaxMRhIV28 qnGGPU8gcZJ5y+0l4f7TitNSXTbiWKRtaeAZsbSNo9qwCP8Ajk6cj5up7gVPqHjSCD4e3HhrXbN9 I1VtIxBE6AJOu0qpXH3Sdv3WxjpXc+ITI/w41NpdvmHSJS2194z5Rzhu/wBe9aukOsmjWTocq1vG QfUbRXD+IPE2kXmvatpHiTSFGmabJAo1JHw0LyJuXOMODknBXPfPFX9Kt9T8Lm5vbSV/Emk6hP8A aGliYNcx5ULuGOJRhVHGD7Gs6PxPoV58TLXVU1KFLZdEkVnlkCeWwlBKuDyGHp161pTeJ9L1O/Nz oPhybXr1AIlu0txHFtBzjz3GMA56Z56VZex8X6vHEuoava6HHIeYdPTzJj3x5j8DjPRe3U1Z0zwL oOm3Au3tnv70DBu7+QzyHjGctwPwA6mubk1jxV4jjkn023VNItr2W1uLaylEd2VjOMrI3HPoAp4w DzkHgwaDD46dfDss4jn0tmvYbhnMqyrKu0yB/mDYdh6Y6V0K/wDJT3/7Aq/+jmrJ09/FGkDUbdbL TtPtX1G5lW/1C64ZZJCylUX2PQsM47Vi2nifSdD1a41qO6vfE2rX5W0LWFqI7bdklUU9zx1yxwc1 UtV8V6DbJoUGu6dYEO93fCOMSNZQO2WZ5GON4JwFAyeuaWHSbQana62lpdahqF0o/sazv53kml4G 65mySETHIHQDHc4G1pmiy6x9rsIJ5JrASH+1tR3jzdVnA+aJGH3Yh904x/dHc1s6R4avJz/auqeX aXyQtFp1tCA8WmIRgbR0Z+mT+A466umeGdN07SW09oRdrM/m3MlyBI1zJkEu+epyAfbAx0rXoooo oqG7tLe+tJbS6iWaCZSkkbDIZT1BrntS8KMLh7zS52huJzHFJMW+e2tVHMVuAMISR+pPYVyl1p8W oxx6fLo1rHcLbMtpZXEQeDR7YkbpZjnmVgNwHXIA/vMc7SpL3SobeLRY5dW0bUJAltptwgjuL2NY wGlaTHEYYAANgEcYxjOl4Cv9Pfw4ttBqXlXtrAyahNNIA9lGpbCRKcj/AIEOO5ycCtnSVjuviDcw 3Fp9lgfRYhDZS4Jkj858tIp757ZPDc8njP8A7LttJ8Q6tpAu5IdEWC2Z7csXmkMhdVtomPIjYryu fYYBJGTeeDtMuvHFjZxT/wBk3l1byXEumW0m2JYwFHknYflLjduI4IBx76Xgmz0iw+JuqW+k6cbB BpkbS28ikPDJv5HPYjaeMg8GvTKKQgEEEZB7V5dq954Y8L+N9Ws9St7a003ULW2eQxEq6zBpMOqr z7lhyCB61nXl7rK6m+s6RpElxPqDW8OmX16whnbCsCNnVwQcseFIGfQhljor2OmmzvfFF0+i2ErH UBatshlkb5hbw7fndizcnPoMZ6bNnZRaZfWjDSIIdXukI0nSUiBWxjJGbiZscsOCWzn+EZJNX7Hw jc6hc3EV9CTZQyl5GuwPM1W5C4EsuOkS/wAKDr/Pe0vwusFreS6ncvd6nqMZS7u0JQhSPuR45RBn jHPc81sWNjbabYw2VnCsNvAgSONeigVYoooooooorLvtBs7orLHEkc0crXCDH7t5yuA8ijG8jAIz 6D2rjtR0m505RBqzyT2kkyea6EC41u6flYzj7kQxjaey+gOci8sH0+7vtUstVTTr9C51C/SESW8T PhVtoY+N8g4G4DOV55OBWvfEdlY+Cb7w7r2ltpt5Z2XkQWKYkid2j+WRnHAbOSFY54yMnGOs1Dj4 Hc/9AOP/ANFCleeUFU2WdpfW0AEswUGHR4CB8ozwZTgYHsCeAA3MaYLeHxl4gvkjl01Y4bOSLUJQ GkiZxw0q9SshPzjtxnHUXdRk+06zo+gXxe2gvb1hqGlRyEKXA3q8b9TCxUHAxznocit3xdo+h+Hv AGsxWFpaWTTWkiggBXlYg8bjyx/E1V06cgWVzBqUdxdPH5Nle3GYzdgfetrkcYkBztPXqccMGydO XWtI8P2Kap4ji0fSoZXgnjtFRZ7eQv8AKru+QcFudoHGDyOap+HtTsoYzpHhzSp9VuJwbi6mDMgW bolyssgBAPJIxwemecx6VFrcmkWcJvYo47fzLOwOnP8AvdXcsS43t92Ic5bbxgsD0zJZ6JpukaTc WUMqSJZRlNY1wrvbP/Ptbbs/Mchcjpx/EeNyLTdSjutPkt9I+z3cgdNNtnj/ANH0iEcGZwPlaU5H Gc84B6514vBG6WCzu7kTaRARO8JyZL65JyXmPdQcYXp0zwAK6GHSrSDVLjU0RjdXCJG7s5ICL0VR 0Uck8dTVtESNdqKFXJOFGBzTqKKKKKKKKKKKKQqGxkA46e1ctqXgyBbKCLTYIHhsg0ttYXBPlPck 5Esj8sxHPBznNc3NY2wiv01eWe6sIrhDqM7RkTatdjpDGpxiJTtAA9MZwCazrmLXtL0XVdHsb61d DZTNf6fMxNvpiSD5I45eu/BPynj2HGfQPC3iPTdYsIbaCV4ryGBfNtLhfLmQYAyUPODwcjjkVzui aJpmp/FHxZd31jDczWklp5DSru8vMXJA6Z4HNa3gpYLa/wDElhbFI47fVCUtkGFiVo0PA7Ancceu ain06yufiurT2NtMV0hZA0kSsVYTHDDPf3/lU+pPq+qeKZtDsNW/sq1t7KKeR4YFeWQu0i4DNwuN g7E89qy7jw7p+geNvDV2lxdT3M81xHJcXl00jPmFyBycDk8YArva4XS5fE9hdaza6foKbJ9UmmS+ vZxHCqHHO0fO3TsMH1qh/wAJLo3hzVpdc1zxAmsambbyPK0u1BjhQspK5BPO4dXYew5qHV77xXc6 1FqmnQW+k3+oWYtbKynImuJVBLlyAQsYGeSxOMdMnFZlxpWlag6XWtX15qun6fPie8mumJ1G5AIE FvFnYVz3HJ5GcZNdPLb6lb6jbyx2Eb+ILqEpZxhSbXSbfoWz0LdM45Y4A+UVYsPBlwL/AOz3spbT IJluX3Puk1K54Jll9FUgYTpwOwFbuk+H4NMuLu8kka7vr1yZriUc7M/LGB2VRxgfWtOGGK3iWGGN Io0GFRFACj0AFPoooooooooqhq2j2etWTWd4haF3VpEViok2nIVsdV9R3rjNS0O/06K6l1K8cWc8 YfU763GJJEBKpaQRjJRORk9Tu9ScZGp6RBq1159/NFYX9gqSSyxSbI9FtQSUQbThpmHrke3Ay/QN W1HQPEbavrqXl9Bq0AS3kWItcQ28bnbJNGB8gIYcr+Wc1pw3trq3jrVtU0Wa0uJE0y3WLUSweG1U tIX3YPLYAwPY5I7wNZ2kXiHT3uftNpbyWt08N6Ti58w+Xm6lbqikEqAwwOMgcAaXhuTUG+IuqLfm 0aRdMtwZoiM3A3vtkUdVBBO4euOoxXX3+o2Ol25uNQvILWEfxzSBB+Zrkb/4j77GW90HSJb+zhJD 31zILa3Pb5GblznjCjntmsC6v/FetrHBe6u+l3ksXnTWdpiGPToef3s8py2SMkJke/ANOstF0KxS PV7uwC6ZDPnTopQHvNUn3fLKzHBIJ+6vTB3HjFa50PxJfasHuWa3vb2D/Sb+NvksICf+Pe3HeQ4y zke/oK2dN8HW1lqUNxKyyWunqE0y0VcR2wxy5yTukJz8x6Dp3roPIhE5uBEnnFQhk2jcVBzjPXGS eKkoooooooooooopsiLIhRhwQRwcH8+1cveeEPIa2k0gxg2MaxafBPkw2jEnfNjrI+Dxk/iMk1zN xpltGI9Ol0+a7jeVjZadcNibU5/47m4OchFOcZxx2+6Kx71dX0/wtf6Xompf2rpUq/YkW5HzS3BY KyWgHzFVB75HBx0Jrp9KvdJ1KaKyslk8y1mZRpdwf33nggtPcc84OPXk+uAM3TkQ/EHX4bPxAlzf SQ2+EujiK6YB1khYYwRjpt+7nvhhUmt6ebr7EU1caPa2tw3l3VwEFzpzkEeQzFhiNuqsM/w9Rg1i 3U/hOK6WW1stT8TXl+/kR3DyO/kzjn91OwC9WzwOMZ6cVZuz4ivdVuzPqVlYWdrDjW7mwQybmXGx AWGGnxjlACCQOoUVZstG/snVP7Yls2vPEeq7Rp1hfSGZ7eMYBmmbsQBk4xj7o5Naa2JuoLq2sZLv UbWFg+qX9uyifU5gBiFGBACAEA44AG0c7q17PwjdSWUtxd3S2mpXUK25NqPlsrfjMMHTb0+96844 FbttoWlWlrZ2sFjCsNic2ybciM4IyPfk89eTWhRRRRRRRRRRRRRRRRRRVHUNLhvyk2TFdwpItvcq MtAXGCwB4z9RXJ3OhXuiRiGy083trDLGbKBXJa5uWyWuLp/RWGfr77cc/dQ6bfOdUlmnljguws+p wjbd6hdcKIbZuCsQPpxxx3NW9K1C+8Fanq17q2zVRMsMmpXELDzrMgBI436LIdpB+XB6nByK2fAN 1b6jrXinULVt0U9+hXcCr4ES9UIBXv168+lWpHVfi5ChIDPoh2ggknE3PPbrRqVr4kg8YXN/o2n2 k0dzYwwefd3BRI2RpGOVUFm+8OmKz76ax0vW7W/8WeLYbi508NNFYW8AQRllILbV3OwAz16dTT7j xzq19pDapo2jLbWBH7q81J9pmJJCiOFMsxY428jOfxrndRttX1mza18UauyXTRGS+jR/LtNNgJGN wU/vJmyNoYnHU9OdXT9Mt7DS4NXm0e5j0+1cDSdESEiR5TwJZh3kJ6Z4Uc9emnJ4Y1XUHja/ZVn1 NT/alzFMQ0EQwVtofRSeGPGfmPUjGvbeFbK31qLUNzNFaQrDY2YGIbUDqyr3Y+vXHFblFFFFFFFF FFFFFFFYureG7TUGjmESFrd3nS2Y7YJpyPleUAZbBH65weK4vVbW601Z4tXNyYrl0XULmHPn6rK2 WW2gGfkiUEgnjgEccmqE2l+Rqd7qNvfQ6ZdW86XWqTqf9CtgoPl25jUjzZOhJ9TkckCpYfEWvP4r 025Xwr5+py2L/bd9xsX7OzDYcMT5QyuSrDPJHNVLG41p7vUdahuX0q3vPLs9NsbQRzzXQjyNsLuO IwWJ3AEAHPRRVvR/DS6vJLbahPLqfkknV9VklaQAjn7NAT7cOygccdTgdFBZaprFnDqEOn28NvBK o0ixnXZHBHgATyL1LgZ2pxj6nI0V8F272kFtd3s1yhma4vywCm/kIwPMK4+Vey9MADtXRmNGZGKK SnKkj7vGOPTinUUUUUUUUUUUUUUUUUVTvtLtdQjkWZGR5I/KM0TFJQmc7Q45AyOxrl9T0K/0+ZZb Erna8cN0IwI9Itgoz5UfJaRgMZ7kdgMHlpbJdTaFYLGS31CS3kGmWzsY5NOgfG+7uJFOdxOTg8nO OSSaqPZa7OLq4tfEEl3HeiGw0sraxrLdtECQ6f3EQl28wc9/TLpdE0m6sBcai7ajbWgEV9q8rtLN qU4PFvbbj03fLuHPYH7xroLWDU5tZ+zQxJHrhiCTNHzb6LanoidmlcAH3PJwowdrRfDkj3Mct5a/ Y7DT5W+wWG8MWcH/AI+JGH3nJ3EcnAOTya2tO0K0029vL5DJPd3shaWeZtz7f4UB7IvQD+Zq9Bbw WsKwW8McMS/dSNQqjvwBUlFFFFFFFFFFFFFFFFFFFFFFYmqeHUuZRfWDRwajBbmGzklUvFbZPLLH nG7HGfoOlcxJpN3plzb2o09pvJkaPS4HkLpPMF3Pd3RHuBjPI57kYzpdMiWca1a6vdQmKVhJqduo M2q3RJAijX7rRryoyCOw4BNSW+o+LrfxDNqeoaXpT3NrpPk3N19r2wWx3l8yYUkHHVVz2OQDTby6 8Sa3ZmPU7uRbm9Y/2ZpmmM1uZUB/18zH51j6HHBwfXpLoWg2DW1xHYLJJolurSahqEQ3y6tIOWjT qxiGCpAPzH5eeSdY6Vr2tQJrDQQWl0CF02yuRmOwjOP3zKB80wGcDOB09c6sHgvTorewgkmuZktJ jcyB3/4+5s5EkpxliDyBnA44wBXQ0UUUUUUUUUUUUUUUUUUUmAcZHTpXJX3goRBH0vySlr+8s7Kc Ewi4ZvmnlOS0rDOQD0x78VIfDz6rJdWCmc2AnZtTunOyTVZh1jHdYlOQcccbRxk1oWnhW5udNlm1 G5Ftql1b+QHtVAWxiPWKEHIHHBbqSAewA6GwsLXTLGGxsYEgtoFCxxoOFFWKKKKKKKKKKKKKKKKK KKKKKKx9S8M6fqSyoyeSt1Okt4IhtN2FXARz1K9OPbHQnOJf+Db+91OaQ3qrFfKbeaSM7WtbVfux QrggFzjcxPbgdMdCnh7SI5rGWOwiQ6crLaqowkO7qQvTPvjPJ9TWjgAkgdetLRRRRRRRRRRRRRRR RRRRRRRRRRRTJYo54nilQPHIpVlYZDA9QawNS8NTDbNos8VrPHEtvaiRAYrGM/feJAPvkcc+gHAy DnP4TvBGbCKNG0uwQywW00u46lckbt87Yzt3Hpzk89ABV228HK2nXS6jfTTajqOPt15EQrOoP+qT IOyPtgc4zzmuiggitoEggjWKKNQqIgwFA6ACpKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK/9m= ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image015.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAATsAAAIjAQAAAABUyoEBAAAACXBIWXMAABcSAAAXEgFnn9JSAAAJ l0lEQVR4nO3cT4/kRhUA8FnlMDdGSEgcItHHHFdoJVZRwtZH4CMgtBI5wm2DlKQ6J04wB46I+Jgj R0CJUjPsYQ6B+MABIUg8S4tYCLSexmHcju161Kuy3WW7qvx2t3dnJrSl7Wl3/7pe/XdVb3cfAPE4 2MM93MNrCIvKOlmnfrgurJMyI8JNsgP4hQ1r8MM6JcJ/Z0T4+HtU+H3r5Evuh/HCOpEBmNjwcQgy 6+QT5oeRsE7eC0HHY7vsj6UXFsPTFRWeUeEREcoFEV4wIjzhNCg7MAfrl4jw5JAKj4jwfEGFjBqa uyGLR/DH4IHHQ1ivfXAx6RQTqMflYgQzB9RYw5L3Dxy7YKL+fcQULNggigvKCGE2A1V+ag2Pb3cP la7CgKqJ5j2OhWEwPSzYtPASXlVpS9SRE6L9uYJfwOsK1pg95oYcSkwxx+cNdIcGASU+nQITsMF7 jQfGUNWXAN8EFikImLYb4sUg56bUl2/pV7ohNvJ/oNFtffmmurntgaWOVhr4k2FZJj08V009C6WG cYHF/VxVeuWDWIgCuIJSPH4tFDpRsNZlYo/z0Vw+gKr/JJWG2Vmuc+KBSNL2Fn7Z+CHm/lhD9S/O /dAUCFtGvSRO/VDqqy5CdS8WgRQ5dhgNOWxHjgMKzJyqSnzJDyEAE7yq6N4jIA9BzP/J3YMj7GFZ COYq5PIO3HVMQKPBVUPETnFwjdplUo85vAsPgX0IMjS41PEG3JIPgP12kuAYRnCwUaU+B7gfhgu4 lSqoZu4oXJgMbiWFYEuuXhKC6wxewpZZ8joM0woOsQrP+bgsIxg38DUcMxd8OLImUIBUsIINy+oQ VJ3r3hEUDagcWrPyFKpwf3tZw2+xYB5V7v5wB29xxZEEoOqM9QPdcY5gfAxgpCCnQJWxjenhEYzr x4ZYI01/+Wj8UB8cfs8ZvkT6YWzCL/nt9iU+KMzTB3A77U+dEJOQP4IlsARPMx/Uo0TehxP4DgtC PULrRsFv6/PKB3XGmgZO4Y4+d8yPGwxqGreU/HQyDHqYRnjLTDxxCi9vCzeEMULZZewUxleEHh7j YsQsC3LIHskWJhMYIcxamK6663k2gQsbFqv0u77QbLsOUpW5Em3FNFMY9Z0lBbnq9llu2PTwfi/4 BLJ+76By+gNHDi2Y9XDV99lkDO9tY2Q4FiezaAd/BW2XGEHVTF9GNkwr1l0GMqzKDv5TncQ2jNVL /9tlSxY9/KNK48yGSwUveQvV7vpe+6SqprPUhtghCtHCLO+gfNu6GG9hFzrqU6xUisdTWLSQFakN B3nEo33PIanNslDfVzCKhzDrYYnQyGgKsxTnWQ0LyOsWcoTRMMULSE3lJXGfYo3V0++MW7jhqelU am/dwQJhzIawXhRmUvqMK7hgpgIU/HszhPKoMB3tL9jWok1GoXT0roI8TE3/eYjwLkKJMHr04age b71hJiW9Q3oN4Qbh4uLeCC5fMSMl0nM4lgt3BGpSkiOoNor6Ia774wJ0z2wupu9TnB9qpOJBu8RU ldCoZwsHFO1S3GxtuLVxteDFK/pPBvZ6/uJwCjcP9J+FgYXhB0cOqJd5uoPlevj9GZ9kU1hu158m tMomLB0Qi1EboxfsulaW3AFxJPDYpCiA6yY+8EEBPcT2rB+BA6odD/YxaLdSOstrF9yuLBFmmHhW OqHo5sgexm6YdKniCgDbXA8ud+hP+xQxLemBSr7eQyxa497uFVjhfakTjn/dELMVtVBygfsQN2xU H2tbhjV6D+QN3V4YFFzj9Yb7oDSF7Waz0rN3LXDx0Viw8MK0HXJqakaZeSE2oIGyveeBPwPT0XI9 Z+CW3AlTPcUnYI9CN9TtYoYr8pU3dKV3pGB2PwB/8sIMod5iNwj/6oW6+WSXR+nNo+rhWFiVWI7j pZY+eGnaReCVV+BcwT1wbcIlZri2Sz9naBMXL+zYGfUk7YRn0C1fMEXV6P8KwETPY7nZDftCm/kR n1uZva4HNu2GXiX1CwP9Pdwsf5kptb7ngilCXT91B4UTMg1VsTO1ShG6LLE/tK7Ioksxc8HSwARv FMz7KhjDpocbpuD75sX+0DjjcwV17DoAcyxQDh+Zh/zzI3ZwhO1MK/ywNrCbz/1QVSTC9sj8EBY2 DKSoWsOCVQCmNmwCsLChDMBmkMe3/dBUj2jvf0qFgdBD6L4WPgskh67JkO869I2AdUWE1lVsBr4b hvDk8IAMOQ3K7eJ1JsXlggjPF7BeUeDmqFsmz0B52P3n8HRFyioLwinUyQ6g2MJzqBkJbroNzRyU vKbBdo1PgECGm6uD8MyQ7xw+SR6BBDkVklP8SkF+wgQNLncOTzgRnj8P+JARIFN5jEjwXHVcCuQK tvPNfIobSmHYBYiSBNehVfMItu+XBFcpGsbUFI+JsHvnfDZ0977i7FCQ36DCr5Pg9sndw5lSd+8k zXaznUMrNDmPNwGSS32F8Aqqpzt213GfX4pXCHc/rq+wh9+E4XoTxvUVDtc9fEFQ7CEFXucx88R5 3F1h4JrCnAqvSR4FFUYvFhbXA4oQfKrCBFPcfR6fL+zyuLsJoDtu7HAlp/hUUOwEkrvZFU4AVzil 3IQ8Pt+ZAkJw9z38Csf1NYHRHu7hU0MIwZtw0bxp4zrawxcK++fnYEmFKRX2X2nY2VDgxNDbD8/P wJIKKypMqRC+ajC+itAlFaYaNn7YtbD9JUDpgl2KCwPFLOwXj9cXCiKUnAjLPjQLwxU1j8c9zHyw 6gLOpaghfkSnhUUwNE4StDz+P8Lx9+a8MKFA8zFgGqypeSyHUHjhaggTL0ypoWEIKypsXlQTVt1K Yh4yYuju0Vm4pkKgwpgKIyLsr/tzcP0s8DNnHh3w8pny2B8WdL6tKB0wp8LCBV2hrbthyIhw8J3J ECzth7ewmsDUDacp2j/9YMHue21byLxwOJEGfi7hp8MUfTCD9wcw90H87j4pxWoEhQ+Wk6uCL3Qz gA0NTr5sb8NXtxB/qcEPP9jCmlu/qTKBHw8g80OwQ4/K4oMlz4lw2Bn9EPgxDRYcQrDooXxnLD0p Ph47L3yHCLO3iDAhQxGGvIPwQRB+HnVQ/C4Msx6GU/xHByX8JggfdSvSagbq9QzCwswFAcgNjGZg X48cfj0Do64e52CiYbl9T8MNz3AwmxTDMGnzGDtmoNEc3nRkDta48bF2DF4ICMsxckFMa/yjIV6Y UGCqYESB+El3Tg3tPMZQ9p8DnofjCc8bOnYwBxRC0GCMv49FgdVkRHtg447sKExEhJIKqS3jPfZw D58e/g9AK8H65VBQ8wAAAABJRU5ErkJggk== ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image016.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIf IiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/wAALCAFeAMoBAREA/8QAHwAAAQUBAQEB AQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1Fh ByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZ WmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXG x8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/9oACAEBAAA/APZqKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKhe7tormK1knjSeYMY42YBnA64HfGRTopo5gxicOEYqxBzgjqKkooooo qK5uIbS2kubiRYoYlLu7dFA6k0yC/tLmRUguEkZolmUKc5RujfQ4NWKKKKKKKKKKKKKKKK43xMlz f6lPfafbGa98OmKW3Cg75GcEyxj2aPaOO/4iuk0W0mstJghuHL3BBkmY45kclmxjtuY1eoooooqn qU0aW627273H2pvJCLGWX5gclvRcZyT/AD4rH8B27Wvha3tprWSC4tc2shkjKGQRkqrc9QVAI+uK 6Siiiiiiiiiiiiiis7xBJJDoF7JE7I6xEqynBB+taNFFFFFFFee6z8XNPi1FdH8PWFxrGpyMY1jC mNVfJBU7hnIxzxj3roPD+jap9oOseI7oT6i+RFbwk+RaIf4VH8TerHnt069FRRRRRRRRRVG9vm05 /OuFLWhHLpGSYiO7YySD7Djv1q9VTVLr7Fpk84DFlTCBQSSx4UfmRXEW2ratqPh7wpp8OpMLq8uj HezoSJHjg3eZzyQSVUE5/i969CrM8SDPh2+x/wA8TVPWvEzabp93qFtafabWyi82SXfhZO21CM5I PXsK2Le8gumkSKRTJEQJI8jdGSMgMO3HNT1CLy1InIuIsWxxN84/dHAPzenBB57Glt7iG7t0uLaV JoZBuSRGDKw9QR1qWoprmC2MYnmSMyuEjDsAXY9h6n2rPt31HU/MNxA+n2uf3YD/AL58HqccKCO3 X6VBpPg7Q9E1i81axswl3eHMkhOdueoX0yeT61uUUUUUUUUUUUVk+VLo08kyNNPYSEEwhdxtj3K9 9ncjkjtxxVy5tbTVrWNZQJoN6TJtY4JVgynI6jIBrO1LRbK3iN/aWwiu7SCZLQRDCo8nUhRxuJxz jvT9Pu5tO0q0TV7lp9SmjVniRQXL7RuCqOwOeegz2FU/ENtdXuhahJfDyYVjPl28chyw7+YQcMDx x275zWrqmj2mraLcaRMGitp4/LYQ4UqPbjAqeW1Q3C3ShxLGpG1H2iTI6MOh9s9Kht9Wt7iKdisk UlupaWCRcSIOcHb6HacHvjiuBNtq76Hr8K2ku3Xo7cxySAsDNOAko9RhSvbau2vQdOSzt7KGys5I 2itoxEqowO0L8uPwxj8KUXiTO0VtmRlOGcL8qnODz0JHpnNR2WnvA7TXV1JeTsch3AAT2VRwvB+p 7k1eoooooooooooooorOmju7K4WW0RJbV2HnQs20xDH3k4+mV47kc8GKLV/7XR10Zt0e3AvmTdCD /s8jf6ccAg5ORisM+KvDGg+KZdEdpZNamChpXTc0zPyqbz0/hwDgDIqtrXiLW207ULa60mzfbbsz w2N4Zpo+w3Aoqjnr82epAOKu+NbrWY/B+p3Iit4Yhb7sec6yqOMjKjAPbg1sXevQaPaNPrZSyjjQ s027MTEdlPXPoCMntnFOZY9ZsbXVdMn8uSRElhlxjzEPIRx12nPI6j60+TWILVGS7IS6QD9whyZG IyBHnG7PQe/FUbDQNpupPtEsVvfTLdSQBAjlygDhz6EgZUe/PNbdvbw2tvHb28SRRRqFREGAoHQA VJRRRRRRRRRRRRRRVPUdUttLhEk5dnc7Y4Yl3SSt0wq9+o9h3wKqtp0+qvBPqLPDDHiRbKN8Ddj/ AJaEfewew4+vFTPaS2H7zTIUKu4MluW2qQTyy+jc59Dj8a880Pw/feIfG2p+LpLZYVmne3sJ9oJg EY2iba3DZ2hRx3J4xXea/DFb+Gb5Io0iTymOFAAyak1lLNbCR742q6eSWvftA+Urjrn6hevaqfjD wlp/jDRnsr1SsiAtbzBiDE+Ovv7+1ZHw3fWLfwn/AGTeWCw3Ol3DWu59yJJGOd6nB3de3B45FdHJ okH2uTUoMR6o8Hki7YF8Dg42k4xkAkDH171bt52JWC4aMXITcyrwGHQsB6Z/LirFFFFFFFFFFFZ+ r6zbaNBC84eSS5mWCCGMZaWRugH6kk8AA1DpevR6hqd7pUsJgvrEI00e7cu1xlSG4z+QrWpCcDJr Na+ub9xHpigRfx3cg+TH+wP4jyDn7vuelWbGyWyg2eY80jHdJNJ952wMk9h06DirVMmljgheaVgs calmY9gBkmub0aDUpNNXXLe5WWbUX+1vbNgRujKoRA2MgqijB7knPtg/F1I9X+HdxdWryO1lcrvW OTARg21g4BwcZ/qKdf2sejfBOSzkcif+zRLIrDDl3IJJHX7zYJP4102lWl7cB1vrhkht5iqWsalR t4Kh2JJfAOD0Bx0rbREijWONVRFACqowAB0AFOqvd2kd2g3EpImTHKv3o2xjI/w6HvSQTusgtrkr 52CVKjAdQeo/MZFWaKKKKKKKKK53xRBNFfaPrENtLd/2fcPut4YyzuJEKZGOm3OTnsPXFRWQi0nU JtSuFM2oa9NtjXZ5W0RxkpF82D0VjkgZJPaumHSsa7vDD4jWOd7k26wI6JEMqrFmUlgBux074HcD rWyoAUBQAAOAOlLRWX4kQy+H7u3DMpuFEAKsVOXIQcjp97r2rRRY4IVRQEjjXAHQACuN8cQx694W 1P7BNJ5f2fEjncIJE3qxK8YZ/kwCOOTk10dxLpuj6VJeX7oIoYAZ5nQFioAGSAOeg6CktFjj8Q6i qIAXigkdsklid69M4HCDpWnRRVa/NqLR/tjhIhgklscjkY9+KrafqMs19LYy28ieXGJEldhmRSzL nAJx90Hnrnt0rRJCqWYgAckntXNf8JlG2kJrUVi76W92tus28B2Uv5YlC45XeQMZzjn2rpqKKKKK KKie3jkmSVwHMfKBgDtPIyPQ4JFcRrvijVfAWsRvqiS6j4dunwt0F/e2jEk7Wx94c8dDgY5I50PD /iTTPEviq6uNJvVureOwjB2pjYxkfIOec8Dggduua2GWTR2eSKN5rKRy7onLQZyWYeq57DkZ444G lHIksayRurowyrKcgj1p1Y3iW8SGwWJEee5M8DJbQ4MjgSqTgemAeTgDHWlTT7vVgH1kLHBkMtjE 2QMYP7xh985zwPl+vWo/GEe3wRrEcO2LFjKqYO0J8pxz2A/SqnjLTWvvBF8kSSPdG02gwJ5jyd9v qQT6U4383/Ce2Vq8nkrJp0/mQlgBI4kTaQP4uN5HoM9K6WiqD6oj6h/Z9tHJLNsLNL5Z8mP2Z+mf Yc06HTgty11czNczHhd3CRjOQFXoOe/J96qS3NvaeJZprmeOGMWKZeRgo++56ml03WbHxPZ3JsPO ezZdiXezEc2chthPJ2kYPGM+tc7pOmXTwadoeq6dJDaaJL+6fYPKuvLGIpGbdx2Yrj73sK6vRtRO raTBetEIXkBEkW8N5bgkMuR1wQRV6iiiiiiis/XdHttf0S70q7UGK5jKZKg7D2YA9wcEfSud8P8A h7TPBervbWUax2w0+PzZMfOzB3y7nPPXsOPp07EEEZHIqlcedYqsttHGbZMmWIAKVHUsvvySQevb 3SO8l1ARyWGw2r8mdj99SAQUA+vU46dDS6bpNtpkeIy80zf6y5mIaWU8cs2B6DpgcVerD8ajd4I1 tcFs2MwwvU/IeB71Z1HVIdD8Ny6nOjtHa2+8oPvHA6VburZbmMHhJk5ikABMZ9j+h9RUH9rQQYiv WWG5/wCeS5Yv/u8fNxgnGcZ5qJYb/UX33TGztgwZIEIMkg44kPIHfgdjya0YYYreFIYY1jjQYVFG AB6AVVu71Az2luTLdlCRGjYI6dWwQp+YHn9a8m0v4fa1rnj+aLxpftqFtYRJKqmVis6tuC7cAYAK nPT9a9jhhit4VhgjSKNBhURQAo9ABTmVWXawBB7EUAAdAB34paKKKKKKKKyVkRvF8kYdS62Cllzy AZGxke+D+VQXWq2+hzPaxtc39xM5dbdFDC3XHViB8qZ7nJ54zVq2tX1K2guNU8mRsiRYoJGaJTgd +N/IyCR3pJrGawlmvdMDMz5aSzLAJKxIJYEjh8Z7gEnn1q9aXUd7bJPFna3VWGCp7gjsQeCKmrC8 cf8AIi67/wBg+b/0A03xLp1zq3ga8sLNA9xcWgWNWYKCcDuelaUlzPcPLbWatGwjyt28YaIMT0xu BY45449+1M/seBlieWSSW6i+5dMR5invjsAe4HB71It2tqIre9m3T+WCZREUSQ9DjqM/7Oc1DOt9 qPyQTGztGUHz1H75s4PygjC+hyCevA61btLK3soykEe3cdzsSSzn1ZjyT7mqSf8AI1S/9eKf+htW pRRRRRRRRRRTXdY1LOQAOpNc4zXWoeK5o7ffZxfYkBuGQbpV3n7nPy45GWHfIretbSGzhEUK4HGW JyznGMsepPuarTRSaewmtI1MBZmuIhx1H319xjp3zVyCeK5hSaGQSRuMqyngiqs9gy3P2yyYRznA kUk7JR7j19G6/UcVNaXsF4rGJvmQ4kjbh4z6MO1Yvj65ig8DaysjENLZTIoAJJJRvT6dak1BJ49D uL2VvPigs98VqFG3coJDE8E9uM4471uJgIuAAMDgdKgnumSdIIoHlckbscBFOfmJPB6dBzyKqnRY 7tVk1RlvJ1kEsZKDbAwwR5Y7YKg5OTnP0qRL5rWRINRaKIySCKCUyD9+23PTAweDx7VfrLT/AJGq X/rxT/0N61KKKKKKKKKKKqHT4pLpricmc5BjWQAiLp93j1UHnPNVh/yNbf8AXiP/AEM1qUVj6jBd abLJqel24nLtuu7UHDTgADcnYOABgdD064IvafqNpqlt9os5fMQMUYEFWRh1VlPKkehrH8aT3Gle Hr3WtOkSC+tYsiRo94ZcjKkZ/Xt+dR+LbC3svB/iG8ijH2qawlMsx5ZyEOPoPYcc1sT2zX+gyWoc K1xamMMRwCy4z+tMkh1C7Yp55sYUYAGPa7ygEc8ghQcEdzg9jV9EWNFRBhVGAPQU6obu0gvrZ7a5 jEkUgwynj8iOQfcVXt5Lm0YxX88ciu58mYLsyCeFYdMjIAI6+gqFP+Rql/68U/8AQ3rUoooooooo ooorLH/I1t/14j/0M1qUUVEltDHO86Rqskn32Xjd2yfU4AGfasD4hf8AIhax/wBe5/mKn8cf8iJr v/YPm/8AQDVu9lkt/DFxNE5SSOyZkYdQQmQa0EOUUn0p1FFRzQx3ELwzIHjcYZT0IrGgEsHjKSHa 8kDaehV858siR+GJOTnPHHG05rdooooooooooorLH/I1t/14j/0M1qUUUVzfxC/5ELWP+vc/zFT+ OP8AkRNd/wCwfN/6Aa0TbLe6KbR2KpPb+WxXqAVxx+dWwMAD0paKKKy0/wCRql/68U/9DevPPGXj DxZ4S8WQTNp1x/wjkEvUHf54IO7c/OOSSqnHQfh6ZpmpWusaZb6jZSiS3uYxIjD0PY+hHQjsadPq NpbX1tZTTBLi73eQhB+faMtjtwOaLC/tdTtFu7OXzYHJCuAQDg4PX3FWaKKKKKKKyx/yNbf9eI/9 DNalFFFZHiwA+D9ZBGf9An/9FtUa/N4GG/5s6Zzu5z+6qe6mkg8KTTROUkjsWZGHUEJkGtJDlFJ9 KdRRRWWn/I1S/wDXin/ob1pOiyIUdQynqCMg1haD4Ss/DWo3c2lyyRWd580lmx3IkmfvIf4RgnI5 7dMVB4xsrnUZ9DtbaC4I/tFZJbiHrBGFYNz23Z2/ie+K6OONIYkijUKiKFVR2A6Cn0UUUUUUVlj/ AJGtv+vEf+hmtSiiisvxOWHhTVygJYWM2AOudhqtqF/DZ+C2n1K4S1L2W0m4k2/OU+7lupz+NWNP vNL1Xw6Gju7e5s/I8uZ45QUA2/MCQeODWoMYGOnalooorLT/AJGqX/rxT/0N61KKKKKKKKKKKKyx /wAjW3/XiP8A0M1qUUUVmeJZPK8L6tJx8llM3Pshrm/iLajW/hbdXAt4pZEt0uk3D7mACzLnoQpb 8Kh8F6WdK+DgidAsk1jNO3y7Sd4YjPrwQM+gFdPrl/Lpmmrei5SGKLmRfJ8ySY4+WOMZHzE4A61Y 0eXUZ9OSbVIUguJGZvKT/lmhY7Fb/aC4BxxnOKvUUVlKyjxbKm4bjYIQM8keY3+IrVoooooooooo orLH/I1t/wBeI/8AQzWpRRRWV4pUv4S1hVGS1hOAP+2bU1dKXUfByaRdbo1uLAW8m08rlNpqwttZ 6V4fFpKC9naWnlsGG7Mapg5HfgVn6t4eudT1qy1OHUlhWyiYQQSW/mIsjceZ94cgcD0yfWtyJXSF Fkk8x1UBnxjce5x2p9FFZC4/4TJ+Dn+z153cf6w9s8/XH8616KKKKKKKKKKKyx/yNbf9eI/9DNal FFFZPiv/AJE/Wv8AsHz/APotqn0P/kAad/16xf8AoIpdcVn0DUURSzNaygKBkk7TVxPuL9BTqKKK wSkB+IKuwk88aUQhA+TaZRuyfXIXH41vUUUUUUUUUUUVlj/ka2/68R/6Ga1KKKKyfFf/ACKGtf8A YPn/APRbVY0P/kAad/16xf8AoIqxd3KWdnPdShikEbSMFHOAMnH5VKDkAjvS0UUVz5J/4WKg3Nj+ yGyMjB/fD8f8/SugooooooooooorLH/I1t/14j/0M1qUUUVk+K/+RQ1r/sHz/wDotqsaH/yANO/6 9Yv/AEEU7V4JLnRr63hXdJLbyIi5xklSAKtIMIoPYU6iiiufZoh8RkQxEzHSGKybuFXzlyMe5I59 veugooooooooooorLH/I1t/14j/0M1qUUUVk+K/+RQ1r/sHz/wDotqsaH/yANO/69Yv/AEEVNqF0 bLTbq7CbzBC8gUnGdoJx+lTqdyg+opaKKK5t/wDkp0P/AGBZP/RyV0lFFFFFFFFFFFZQZR4tKlhu NgCBnkgSHP8AMVq0UUVk+K/+RQ1r/sHz/wDotqsaH/yANO/69Yv/AEEVJqVs17pd3aIwV54HjUt0 BKkc/nVlRhQPQUtFFFc+0ij4ipGQ+5tIZgQ3y4Ew6jueRz9fWugooooooooooorFIk/4TlCJlEf9 mNuixyx80YbPtyP+BCtqiiisnxX/AMihrX/YPn/9FtVjQ/8AkAad/wBesX/oIpNeuJ7Pw9qV1bNt nhtJZImwDhghIPPvU2myzT6Zay3GPOkhRpMdNxUE/rVmiiiubf8A5KdD/wBgWT/0cldJRRRRRRRR RRRWR5qjxh5RPztp+4D2EnP8xWvRRRWT4r/5FDWv+wfP/wCi2qxof/IA07/r1i/9BFS6jafb9Mur IOE+0QvFuK527lIzjv1qaGPyoI48g7FC8DA4Hp2p9FFFc6xj/wCFkRgo3mf2O21t3AHnLkY9en5H 1roqKKKKKKKKKKK56TH/AAse3+5n+yJev3v9dH09vX8K6GiiisnxX/yKGtf9g+f/ANFtVjQ/+QBp 3/XrF/6CKi8SyvD4W1aWJykiWUzKwOCCEODU+kTSXGi2M8zb5JbeN3b1JUEmrlFFFc2//JTof+wL J/6OSukooooooooooorDacL48jg3DL6W742ZJ2yqPvdvvdO+fatyiiisnxX/AMihrX/YPn/9FtVj Q/8AkAad/wBesX/oIqxd20N7Zz2tyu6CeNo5FzjKkYI/I06CGO3gjhhUJFGoVFHQADAFSUUUVzb/ APJTof8AsCyf+jkrpKKKKKKKKKKKK5yX/kplr/2Bpv8A0dFXR0UUVk+K/wDkUNa/7B8//otqsaH/ AMgDTv8Ar1i/9BFV/FX/ACKOs/8AXhP/AOi2qfQf+Re03/r0i/8AQBV+iiiubf8A5KdD/wBgWT/0 cldJRRRRRRRRRRRWC7xD4gwoUzK2lSFWx0USpkZ98r+Vb1FFFZPiv/kUNa/7B8//AKLarGh/8gDT v+vWL/0EVYvHtksp3vDGLZY2M3mAFdmPmzntjOaW2aFraJrbZ5BQGPZ93bjjHtipaKKK5t/+SnQ/ 9gWT/wBHJXSUUUUUUUUUUUVzkoP/AAsq1bBwNHmBOOP9dHXR0UUVk+K/+RQ1r/sHz/8AotqsaH/y ANO/69Yv/QRVbXhPqNhcaTaQM5vYJIXuCQI4AysuT3JBx8o/SrmmQ/ZdNt7Qtva2iSJm2kAlVAyM 1booorm3/wCSnQ/9gWT/ANHJXSUUUUUUUUUUUVzkpP8Awsu1GTg6PNxn/ptHXR0UUVkeLCB4Q1nJ AzYTgZ/65tUmmQG58MWUImkh32kY3xkBgNo6Ejir1tbQ2dulvAgSNBgDr+Z7n3PWpajSUPJIgVwY yASVIByM8Hv+FSUUVzb/APJTof8AsCyf+jkrpKKKKKKKKKKKK52Vz/wsm1TjH9jzHoM/66LvXRUU VQj1mzuL82dqzXUiHErQjckPX7zdAeOnX2qDU9Fs7o3V5dq9yTbsixTNujjGOdq9AT3PWrOi/wDI DsP+vaP/ANBFXaKjlhWXBJKsv3WU8igzxi48gkiQruAKnBHPQ9M8HjrUlFZcsMQ8V2s/lr5psZkL 45274jj6cmtSiiiiiiiiiiisCZp/+Fg2iHd9n/sqcjj5d/mxd/XFb9QXV5b2UXm3EqxrnAz1Y9gB 1J9hSTQx6hZ+W/mpHKASAWjbHXB6Eehp1ra29jbR21rCkMMShUjRcBRSXv8Ax43H/XJv5VDov/ID sP8Ar2j/APQRV2iimPEkhUuMlG3L7Gn0VnTf8jJaf9ec/wD6HFWjRRRRRRRRRRRWBMD/AMLCtD54 I/sqceTk5H72L5sdPb1rSg1OK6vWtreOSVEB8ydQPLRgcbM55b6A4xzikXSbUau+qOHluSgRDI5Z Yl77B0XOBnHXFXqKgvf+PG4/65N/KodF/wCQHYf9e0f/AKCKu0UUVHNCk6bJASMg8MQcg5HIohWR IwssnmNk/NtxkZ44+lUpv+RktP8Arzn/APQ4q0aKKKKKKKKKKKw9T0Y3XiG2v5G3WzWktnNCkfzO HKnluoX5e3fFbUcaRRrHGoVEAVVHQAdBTqKKgvf+PG4/65N/KodF/wCQHYf9e0f/AKCKu0UUUUjM qKWZgqqMkk4AFZNm0l9qyXqnfaxQMsc4GFlEnluCvJyAF68dfrWvRRRRRRRRRRRRVGVprCSe5kle a1O3EKRFnjPO4jGS2SV4xwBUeu6jPp2mzS2kcct0sbOiSNhcKMsxxzgcdO5HrUui3smpaHYX8qqs l1bRzMq9AWUEge3NXagvf+PG4/65N/KodF/5Adh/17R/+girtFISFGSQOcc0tRSTxpIIs7pCMhB1 xnGcenPWqJ0tr6dLjUpGZVAK2it+6Q8df75yOM8e1aVLRRRRRRRRRRRRRWHqGi2FnpmozwR+W5tJ kUsxKxqwLMAOwJ5OKn8LDHhHRhkH/QIOR/1zWtWoL3/jxuP+uTfyqHRf+QHYf9e0f/oIq7RXK+KG iudW0lHll2WeoQFo4lJJkc/JuPQKAGJ4OSV6VrTXV1e3zWmmzQxrbSKt3K2HZcru2qvQNgjlugPQ 1asdOt9OR1gDkyOXd5JGdmY9ySSatUUUUUUUUUUUUUUUVQ15lXw/qJdgqi1lyT2+U1h+D7XVR4X0 m8a5G97OIG1JzGI9qhcHqG2jPoSfSuks7uG+txPCxK5KkEYKsDggj1BFF7/x43H/AFyb+VQ6L/yA 7D/r2j/9BFXapy3rtMYLSHznU4dywCRng4bvnBzgA/hWbryJp3hu+uZpQSHWeWTAXoy/lgAAZ9Bz VzQYp10xJ7uNo7q6JnmRsEozc7cjrtGFGewrSoooooooooooooooopksUc8TRTRrJG4wyOMgj3FO ACgAAADgAdqq3FmxuFvIHkE0aMBF5pWKQkcbhg/njNJJcC40y4baVZY3V1IPysAcj3+veq9jeW9h 4bsri6lWKNbaPk9ztHAHUn2HJpwjvNRdZJJXtbUMHjSPh5Vx0fIyvPYc9j3FX4oo4IliiRUjQYVV GAB6AUy7tIb22e2uE3xPjcueuDn+lTUUUUUUUUUUUUUUUUUUUUVSvNNjuS8seIrhk2eaO49Gx1HN Q6bokNpDZNdEXN5awLEJyCACF2kquSFz7Vp0UUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUV/ /9l= ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image017.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAf8AAAGHAQAAAACW+2a/AAAACXBIWXMAABcSAAAXEgFnn9JSAAAN AklEQVR4nO3cXawcVR0A8Lm3lRZC2L6JibhEE+ENNQZsRIc3fVH0xfhkIUbui4TUmlyb3t6zDU3K i16ND/iAHRMfeCQREyBo55bGbCDImpgoSYEpXO3GWJi7LLm70505x/M953NmdraAbfYkvbOze+a3 /3PmzJkzZ2YboAVTsASWwBJYAtcRMAoXBPrRgsBgsCAQMSDP2wJdDmy0BrYYcLItEHLgay0BGEZ0 WXy1NdCly6wtgMKQLmYvtgW+DhjwZFvgKbQg8DJbTPptgQE7mtoDveN0MWwN7HIgbQugjC/vWxR4 ri1Q8GXcFpgtClzmy6gtAME1AtypyXlhYYAH0hogRZh5P/0oirBwJV4TIP7YI/h4gWvREieuN/Os OeDsD/OjDQHoyZNPGgLvfzeKFwJSMATOyB5rCJxzbo6BIz6gd2j/zW/uIJSw1Ri4x1cw9AB5UKYV +qe3uv+lwx8cuHXj0yunDwZBHZCpK8VeBo8OD9z00uHd1eDLK3RDXiS2dABv66szBNJYC70OuGi+ ARJjnS1yH5CZbwBRnQaA6oH+CDmOxjmAIdmZGNCPBQEAD6B04X3aGjwA8kWgAhfYBq2BJ58mf9eN DHMAz/XJGW3d3aF4ASU9S4ZmuBJ1oC4CFRjgAQ5u83MBsQ6Q/sAJDH2A6n9xgGvkHR1IeI6+ByjU lWMRGqNLRgS8ZQ6aAOsR3jY4oOfgQNcDqEMJuH52OEG9jZC37llIFxRg3Unt0Qh/eN+wh/pcnUQl MG0GoBOPxQGYcaCflMAu8ACJPh468WO0iuAJtsKvgumm28gDxDpwfAZvA2IlUoCeDwB6EQ7388/I o1EFVhwA+QDqdZC9sDXdBGjE1vhFLMk33WcDWYzo1vqYMJ6WXRq/iCXru6JxKADfSTpwORyXjVsB ph0bSAcO4D2gdKr4KrjgQO4AxFSF3q0DZZh3LpQRFF0b2HJFcFUdJ/LzNP0b20DkAnIGJHTlNNsM qBkUgE9V6EmUmaZ0VkbgAMIKgHUI/awaiIzewIpge6MaiP0R8JRXAnHoAE5qJ1dYCZzVPigjIAAv 2mVQBbzLl9puBP7TuwWkGWseGjCbAyB1TD7TmvJYB9IqYHeDVZIWgQBCtppwIHEBeHNaV1oERhHC SuAq+3IVwGclBsRsHVQVAbfXiQlsrykRgJp2gHgdOYGEnouKOgBZwHA+ILYApAGiKF4AWIAYn+mA MmqrKcL5QRlB7geiiL6GhQ3grFMBdL1F2IoZYE8z7KT8FNAMwP/SkQXs1gPDEiCjYzOCkAHyZOQA UBWQ1wNrCjD0A7IIah4KHOMAqARksiMQACnNM9puHKbK/heKdg1FgZ+x16TT/v2DFmA1YRAbAJyy 11MbQE5ALYMKkCL8YVAL6J0sBYoS+GKkAytah6IvJZBz4C1Eh9de4DhfnjABhPbo33M4swnsaxIB 7bxZEeB6VwceV17XAZAAIBzWAkc8QEH7XPj+cXW0qwKha8mAkSgCqYVpsG832Ag6vX2XgiIIf3ng UpAHYdC5tDI9uBmEPTozsUr+dCXwKvkzgecpoHUr+8qXct5AvPF6GQFNaR6SLMe0C6QzymuAHEkd aO6RqePssPb5PAD6Bflj3IxR7ypwQL+IVABwjreHGkCkwgTgJn3vNS3fAA1EN5vyDxI+rJ4ZAAxZ 9eoT0AOljyrlfnkLUQG60DF73XcDiQO4GtxGl3o9DNAZWQ0lcCFB4tqXAL3gULCftCx6etYrOUVn tnSA1NPfXRG8FuxHyLhMpoAsL53BpHX369gBoBWIcgtA6C5xGZF35WYvOIEOrkQH8IgoQg7EWNYD nL0CXMCPyjoQl7vo+fJjCUB0OujYdYCv3yPxckNm/hNwRRDiw/kAreRO+SaCO12ZN4D337tx8ghC 97sACOAUnKFDU3XmCQ4V4LOdz995dwDQpgXkCEwBROEZ0gwKtS3lEwZACB4KQv7mJrKAzXvoUXCG nIoyfZRSxPwF+JssLZLtUgBkbg+Spp/gxuwDpvK9mTxsODDNwUX83rhPGvOOfvErr+SUmc2S4sDV DYYOSWRDPQI+qzxRO5RyprkEjmEADukgQz8gZWZlgGkDP4VjOvNX+IA4lfsApyvS4sDeo/mEAPS2 6FAfJ/E6yFfDMoL3zAj2jhdDWbFu4GX9tG4Cn5pRIKaA/tAEL9AWAkccM5sceO/wLCUAzTyOHN+E BzrqrJ7sPTmQHp1Q4BRZmWqjKLEF0ADZOEQERycJAejqVAxdlZRmgLYDUY3yDMyBwfifiYxgtxva EeSkHZQnbrmn5eHcLwHkAlIdkIWRwIAC51nxbAAUFLDPPCWABIBcAJmJAPa7KhAR4AL/PjNbQd4y JvoM4BsUIJcbUzsXotUO7DkaBUgUwHVbaKbFVUoOwBEn3gezujrAwG6X7t5dR7Zkpxoo6gC0va63 AwOY0YHLbjijAOB3ZzRgrRLA7SoJyQXijEdgXP0JgNVdagMpAwD96BIBzIdGttMS2FGrozy1ESCh eYEXYDvoefUDBsQcYHlDpAyMeDqvAMqpVQCAAuzOE525eVrv1VJ0QQG0WTu1CBwgFXmXDiANiGoA ki67AXY08/kKG1AO9ofN6dG+AmiPuqkAT6QID6tfQjYdKMDQB/AISEHLgRFJePerwFgMuyWQahFg AK7pEYhxLQO0DoMCiQnkayHSU5KUAFQ/DOS2KlCgk2YIiXgB9RlHCgAGKHVgd0oMzCBQdrYEkBmB DeTs+i/L9QLowMwHxEgMw0e4AiNt/FEC8tTpjACy0etoF5UXURKY8AiqADL8xc1hhDceap27qw7I BbeaqeAATh/8B7cjrRod04FT8iykdQXJgH/j8DJPBDK9TCaO1MHMpASujMzSqUDMFi+KW4mOCK6M EdIbgiMCazAW64CeMJD/6vt7yZ7sDIrszaGZa5QDDpg3sQkwDdS0sh385lLwpTu/cwteeSAIbt1e xV3ZFEdAvuINYicGYJxuJubJFY/PcPthEfzcCk4BRD9jDgIIMMLjTJbPfMTPjsA6vRMgk8/FRcan CgBKoKvlAejdURNAZM/K2VMRwbtjXHPJHIB2/YmBK8/KtcQL8AXERYBmBGX7geYZx4qgcAGv2rMz NpCKQBzAG9budwBJCSAT+G0TQKYFgaELQOiPUVOADilt4Cl2amoEZPoUHAPe8gTgqoPeqYWAJO9t alNwDNBn2KqBDHa1SicAfK02AtFE4YEMXdTGorVPBzIg4m+cwwcTsoGZ53HlEoj5GxlpymELQKSJ 1aGwIrjuajuBI64uDTkv5JwAtB+CYADga2ZRTCAHHsCXTCBjw7z2wMzZrc8BTBgQtgb+63y0rhrI 1ExpS0DW2kV2Ba/trEYRiITL85eFAJzuQMbk8lzABOV3IPsZhMYAnKApATS0CZDw1WKCtskvXvAg Y0sWY54I8Ia9kxxwzOrXA7j6e2SIg3frlmNWvx7AHc+2ANRZff9vmmzgPB9kdYzbAs0AXHFjAuDr iwfnAWSFTxI0IQAe5Hw7ahMBStiTHDiCb7UC0qQQwKOtAFLbDID8hvy8QDyRQGgD7qmwTMmSxinN BTt5qgC+05IAyk54ECcuoLoIahKPNsMOvnwWs891QKYc/WnMc+NRUi5+AVMP2BEQAO61AAYqINpn qwi2rgVwzARcv4UxgWf4iwiVzym7IygkoKVIWYrm4wTgV9xAzJcJKntaN3BYAlq3HjryOgFxAi8n ILS3GwD3lYB6qMSNgY4EtGO0OdAtI1gUmDsC9mhMCZhTRlYK2UJ+Ub7aJfe5S+CVIDgYHLrl7ptC Nl36xMorIf1eqAH0DsE/BoP1KXn2QVyB0r2w9sATnzsUBMHNB4Pb2S1sJf2O/pRj5aD+LsqcD30X lXUgZrBwBCEal4B2YqkCxME4/ST+s1M+t94YEEmr9TaAlq4xEFX8fOxDjKDlwVQCWmoDiCJE4Wyx ItBH/BaJYCv2nMWbAh1fxqbAY76MYUNgbdOTp2kEjzhGQI0Asd1PHDfC5okAvu/L0xQw78/NDbhu VM4DFK0B8XyBbyc0P5wve/J8dIDvh1cLA2ENIGu/bQQWYM7ANgZYmslfAYgUNgUG/PvfaAskHHiq LcDSCJ2dEzCa8Nj6KYWxWhfBEiANad69YAFmQ5ozghH664LAyDwq5wRaTgdWpfD6B8D/P1CZoQHg foBJSWEdsH3we6/ftQMS0QKfOPX4bZ9ImgPZv27/wTv3lNdKD30zeCkITj28f/9q0AtO//kLtUBN CWqnxj/+3ViblkB9Q/rwI1gCNen6KMISWAI3CFCZro8iLIElsASuEVCZGgB5p+rTBsB0CaC8eyMA b/uNZsAgWhCoGPE3A5y3YucBjIfd5wTw13v+T93mQMWlZTPA/5xrQ8D/lGlDwP8sT0PA92xhY6C7 KHATWBC4d6EIboRL33BRoDItgSVwgwD/AwksCVdkzowNAAAAAElFTkSuQmCC ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image018.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIf IiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/wAALCAD6AUcBAREA/8QAHwAAAQUBAQEB AQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1Fh ByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZ WmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXG x8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/9oACAEBAAA/APZqKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK5ybxYTFrF1Z2az2ekFkmnecJvkQAuij B+6DjJwM8e9btndR31lBdw58ueNZE3DBwwyM/nU1FFZkPiLSbizW8huxJC1z9l3KjE+bu2bSMZHP 4d+ladFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFeftol/CZfCb6deHQrq9aRrqEqzPE7b2Rzvyo 3kgnBJX3Oa6rQ9WbU/tSLY/ZYrO4kteXHLIccADpjBFa1FVdSnmttNuZ7a3kuZo4mMcMeNztjgDP vXLadoU3h3XT+6H9ipbi9muP4vtSp5bZGSTlfm+vvXXW9zDdRmSFw6g4yB3qWiiiiiiiiiiiiiii iiiiiiiiiiiiiiiiiikrC0doIfEmr6fbvNst4rdjG77kUsH5GRnJwMkk54reqNpDv2JgsMFgSRgH PPT2qSoriLz7d4eCJBtYHPIPXp7ZpLS2jsrOG1h3eXBGsab2LHAGBknkn3NTUUUUUUUUUUUUUUUU UUUUUUUVHPcQ2sDz3EqQxRjLySMFVR6kmsJ/G2mKw8qz1a4jIDLLBpk7o4IyCGC8jml/4TOw84x/ 2frPBxv/ALKn2/ntp8Hi6wnBP2PVYsAnEmmTrnGOPu988fQ1K/ifT0KDydQbc+z5dPnOPc/LwPep f+Eg0/8A6ev/AADm/wDiaT/hItP37cXfTOfsU2Pz20v/AAkGn/8AT1/4Bzf/ABNOTXbFyQv2ngE8 2ko6f8BqI+JtKUsDJcDaQG/0Sbgnp/D71FL4u0mMIEa5lklUvFElpLukAxkgbeQMj865yXxHPDrl 9Lbvp1lK0duJpZrK5cvkuFBI24wM4JAzn2rWvfGllYS3FrezrA8U3lPOkUrLHnpu+TAYgjAyQfXF Xo/FWirMlob6RpvJEoDQSbmTGd33fTmpofEukXF/9giu91z5rw7PLcfOgywzjHAFJdeJtHstOg1C 5vBHbXK7on8tjuH0Az3qBfGXh5oreUamgS5YrESjDJHXORx174p8ni3QotLj1N79RaysVRxG5JPP 8OMjp6VKniTSpc+TPJMAcFobeSRc4zjKqR3FTS6xZwM6v5+UbYdttI3P4Lz9RxTH12wjdkb7TlTg 4tJSPzC0Qa7p1xeR2azuk8wYxpLC8ZfbycbgM4HPFaNFFFc/4r1O70htIuYJJPJfUEgnhjQM0wdW AAz0+bB/CtTS4LyCzxf3RuLh3LsdoATP8C4A4HTnmrlFFFFFFFFFFFMlljhiaWVwiIMszHAAqnrF kuq6JdWqokjTQOI944DFSAfbrVizt/sljBbBmbyY1Tc5yTgYyT3NT0UUUVzXjvULqw0Amyu/ss5L SGUH5ljjRpHwO5ITb/wKoodSv9V8fww21yU0m101bplQjEzSkhN30CsfT866eWVIImllYKiDLMeg FMg3lTNKSC+GVGAzGMDK5HXkE/jWHpuow3via/l0+Y3kT29qd4kBiVcy5KEZz9PXNbF3APsNwsO2 F2VmDhej44b35A/Kn2Vyt5YW90oIWaJZAD1wQD/Wp6KKKKKbuUOE3DcQSBnkj/JFUNRVDqWklmAY XD7cjJP7mTj2/wDrVo0UVXu761sVja7uI4BNKsMZdsb3Y4VR6k+lQajo9tqdzYXE7OGsJ/PiC4wW 2leQQc8E+4PNX6KKKKKKKKr3d7DZKnmli8rbY40GWc9cAd8AE/QUzT9Rt9Sike3Y5hlaGVGGGjde qkfkfcEHoat0lUoVfUcTXdr5caOHgjf74Iz8zDp34Hb69F1maW20O/ngcpLFbSOjDHDBSQeeOtS6 e0j6dbNKxaQwoXJIJJwM8rwfw4qxRRRRVS80yzv2zdQiX908OCxxsfG4Y6c4FUNS0xreG7n0a2ZL 66aN3kSQICYwNoOegIXbwO/PrWAZbu9vm0iJ5r6KWYzRJO2V8jejF5CwzgSKyKo5I9sGrHjSDXbv TP7E0pZbm91JAr3J/dQWiqcl8jkE5wBknj25yvh/4Js/DWp6tpUjG5mhjgk+1BtjZdXBAAOVxjjv zXbxWM9pu8i7lmjOT5Nw2/seA55HOOu6l0eKS30yGCYyiVASyysC4yTjOCRj0wegq9RRXHXmsSza f4l1S7vJrWx0/wA21t44m8t96Abnz3Ytwo9P96ul0mS7m0eylv1Vbt7dGnVegcqNwH45q0XUOqFg GYEgeuOtL3zWXqkMbavo0rRqZEuJArEcqDDJnH5D8q1aK53xp4vh8G6QL+axubrzCUQQr8obGRvb +EH15rE8CWmueIZh4t8TuuZVzptmv+rt0P8AHt/vEdCTnBPrx3tFFFFFFFFFcrr8tpo3im18QarM BaR2b28G7pDKTuJ9BuUBc+wH8VS+FzbacgjnvBJe65LLqKgMXRgdvyo2ACFXYPU9a6KWWOCJpZXV EQZZmOABTYnMoWZWPlugIVkIP155/Cparai9vHpt1JdrvtlhczLjOUwdwx9M1LA0T28bw48pkBTA wNuOKkoooooqOZ3SJmjj8xh0XOM1maQLefVtWvIJEkDTrAxUk7WRQGUjtgk9K16wdNlhfxrrsccA jkjt7QSSA/6wnzSD+A4reqvLCkc32tUxKFCuwIG5Bngk9hkn/wDXUyOksayRsrowBVlOQR6g06is C48LpPrj6gbkNDI8cjWksW9PMTo454bpz7D0qewa9g1Of+0ZVEdwwazjZwXTI+dOOoBUMD2DYrYo rN1L/kJaR/18v/6JkrSpryJHt3uq7jtGTjJ9KSWKOeNo5o1kRgQyuMgj3FOACgKoAA4AHalooooo rP1jWbbQ7eG4u0mMMs6QtJGmVi3cBnPZc4BPuKsQXQnubmERSL9ncIXYDDkqG4/76H41YopOtUp/ scWq2rSQlrmbcsT9QmFJP04z060vkG+kWW5jKxRtujibgkjPzMM4PYgduvXpLf39ppdnJeX1xHb2 8eN8shwq5OBk/UimXGqWNrfWtjNcqlzebvIi5LSbRliMdgO9M1q2lvdC1C1gAaWe2kjQE4yxUgc/ U0ujW0tnodhazgCWG2jjkAOcMFAPP1FXaKKKKK8y8V6dq2p/GLQ7WK9mhsPswndEnKqRGxLcA9/l H/6q7jw1ubQoZZHkeSZnkcyOHbJYnG7AyB0HHQCtWuI8OeI9NvviL4gtLeK+FywiifzICEHlBwTk dAc8bsZ4xXb0lZ+hSvLpKM5yVklQcYwqyMoH4AAVo1w2peLza/F3TfD5uiltJZsJIwy7TK3KZ7g4 Xj/eHrXc1WjsYY76W9I3zyAIGYDKIP4R7ZyfqfpVmis3Uv8AkJaR/wBfL/8AomStKolVpF/0iOPK uSoHzAAE7TyOuMfSpaKKKKKKKx9X0g6zcvbXKA2LWckRO7ku5A6ewXIPrTNNvZtLt9J0jWLr7Vqt zCx3omBIU27j+AYfXBrbopkkiQxNLIwREBZmPQAd6xbwSXPiDRp2LxxK8+2IgfMdhw+R7Z49+eRx u1yvj23l1bSToMVvJJ9uhmdmWPcB5ablGegYuUxnHQ+lQeH11CfxLPf62Nj2NlDAGdNqLLIA0gRu AfuoDjPJ49K2dV1e3fQtVewvYzc21tP9xxvjdFOePY4/Sn6DqUV1oNhLLeRyTNbRGVi4zuKAnPvz Wi1xAkJmeaNYh1csAo/GhbiB2CrNGxPQBgaGuIEYq00akdQWFL50WzzPMTZ/e3DFItxC7BUmjYno AwJpGuYFYq00YI6gsKx9atrWyll8VpA13eWNjIkMQlCqy/eODjg8dazvhr4i/wCEi8Kxzm2W28uR o1Xzg5YA5JIwMcnH4V1TTwocNKin3YCua0zRGsfHut6822O1vreBEcuCJXAO49eMAKK6VJ4ZG2pK jH0DA0jXMCsVaaMEdQWFNiW2s4AsZjiiJLDnAJJJP5kk1Ik0UhIjkR8ddrA1h3i6XH4nt5zbWDXb W0ziRkjErOhjAAc8jhiK2EkREEsriMyAEqzggHHQVIskbkhHViOuDnFNFzAxAE8ZJ4ADCnPNFGQJ JEQnpuYCsjV762i1LR3e6t1j+1spLOMljFIFA5q3Gbdrr7ZNcRmTbhELKREMcgH1J6n2FWvtVv8A 8/EX/fYoFzbnOJ4+Ovzij7Vb/wDPxF/32KZJf2cKb5buBFyBlpABknAH5mpVlic4SRGOM4DA0+ii krO/t+w9Lv8A8Apv/iKrzXWiXE0d9NaSyTRsPLkaxlLIRyMfLkdTVlNcsZHCKLrLHAzZzAfmVpj+ ItOjjaRzdKqglibKbAA/4BXI6t8T/D9n4hjtL8X8EMUQngl8l1SZjkDKEBiO44xxU2navYeKdT0+ OS8ubmTzJi8b28luirs+6BgbhyBySTXUyWq6VCZ7SZYIYwN8Urfu9oJJxkjaTnrnHt3qxpuq6frN p9r028hu4M7fMhcMAeuDjoeRxUesaTDrdg1jcySLA/31THzcHHUHocH6gVn6TpO2TUo5ocw3kha6 3lh5ku1VJUYHyFVGTnk5wMVoDQ9IHTSrIf8Abun+FT/YLP7KbT7JB9nPWHyxs656dOtMi0nTYJVl h0+1jkXlXSFQR9CBRLpOmzytLNp9rJIxyzvCpJ+pIpw0+xFsbUWdv5BOTF5S7M+uMYpsOladbyrL BYWsUi9HSFVI/ECkk0jTJpGkl060d2OWZoFJJ9zikvdKsb3SZtNltYzayRtGYlUAAEEcenWuf+G2 hQ6N4L05XskhvTGxmdo1EmSxJBI69h+ApsXiDRb/AFvxDbXWlQNDoirJJcGESGTKkvxjOQVI4znF bGjbNZ8PWc99pltFHMiyx2u0OsakZUcjGcHtV2DTLC1k822sbaF8Y3RxKpx9QKbJpGmTSNJLp1o7 scszQKST7nFSS2NnPCkM1pBJFHjYjxgqvbgHpSW9lY2T5trW3t2k4/dxqhbvjjrWFeWehw+JoJb6 101ZWtJ2kLImSN8ZBOeTxnn61uNbWF/Age3t7iJPuBkVgvHb04xUkNna2zM0FtDEXADFEClgOmcV Cmj6XHIskem2iOpyrLAoIPqDilvrbT5VEt9awTbSFUyRByMnAA4Peq6eH9L8wyS6ZYswJ2Ytk+Uf l34qQ6JpAGTpdkAP+ndP8K5fSNV03WLIPD4dsUuRqC2zRNGuDGfmEinbyDH8w47HnvXVLo2lqCF0 20G4YOIF5H5Un9iaR/0C7L/wHT/Cq7aLpc87wnR7IQqMSb7RfnyBjafTrmrNjo2l6bLJLY6da20k pLO0USqWJ65IHsKu0UUUUVz8PihT4i1bTpo0jh0+BJUcnDSk53e3BwB3yal0bWZdT0Gy1W/gWzN2 FkggSbLOGyUU9Mkrg4/wqnBo9p4i1dvEE9ysyRLJa2nkoYzGA7LJlskscjg8AY46mo9T8OQnVtMR dS1VHZpQsgvXLIfLPIySO3cGtGSzmj0u6s9buv7Ts51ZGdoVRkjIO7fggEAdwAfbvXP/AAm0qXRN A1PTZeTb6pKqsDkOuxCrA9wQQfxrrI7ma9ugbZtlpExDyYz5zDjav+yO5/AetXqxNQ1K4n8QRaBY s0Eht/tVxdAKfLj3bQqg5BZiD1GAAe+KPC2rXWrWV412gzaX01qkw6TojYD9Bz1BxxlTjituiiii ikbO07cbscZ6Vxd/8PWu7G6jj1Z4ri6sEtHcx7l3B2d5MZ5Lb3HXjca6HSr6Ka4udOtrdY4tNcW7 YboQiMoAx02t69q1KKazqpUMwBY4GT1PpVW7uPs8LNJNBE6hnEko+RFB6sc8cHrmuY1byNe8Q2j+ G/ENhaaiLSYG5hjhuWZQ0eFIPOOWIwfX3rCTwD43svFFlqw8V/2gkb5l81WX5QpH+rDYbqR1HWu7 t7XUZp47o6yzWzxEeSLZFGTkhgeSCMj1HHSlTTtUREU65I5RwxZraPLqN2VOAOuV5GPuj1NNTTtY WO4D68ztKQY2+yIPJ9gO/wCOalsbPU7eRTdasLtBnINsqE/iD/SrV7HNNYXEVs6xzPEyxuw4ViDg n8axbfw7Bpmqw6wsxDx2KWrwbhtldeEbJx8wBZQeM7q09G1W31vSbfUrVZFinUlVkXDDBIII+oNW UlaSTKBGh25EgfOTnpj+ualoooooopK5C/8AA9xe208y6iIdQnsHtGdVby9zyM7PjPJG9sehOaR9 VjjvNWMnlLD4ds1WCaX7pkaPJfpxjG3j1b1rptKsYtM0q1sYAfLgiVF3HJOB1J7mq2of8hvSf9+X /wBFmtJ13Iy8cjHIyK4D4bap4kvda1+x1lovI02VLeJYoAihhkcd8bQp5z1FegU2WVIYnlkYIiKW ZmOAAOpJrmdX03UNVntdd8N3lqkktr5UrNIcTxE7lVXUMFIJYhgD1q1YJcafqlvomn28UOm21mrO wG/ZJv8AuZyDlgScn0zg5rfoooooooqG2tYbRHWFCu9y7EsWLMepJPJ/+sKmpkkgjjL7S2OgUZJN QyTyRBQyFnckr8pCoAM/MeQPr3rG0nQo72FtR1pl1K4uW3qJVzFGmTsVUyVwAc55PPU1Y/s2wt/E NrHBZW8SmzuARHEq9WiB6CtaOJYi20t8xydzE4+melVNKdhBPAdxNvO8Y3HnGdw7DswxjjFXI/MI 3PwGAIXHK8cgnPNPooprIrja6hhkHBGenIqrJHcPPbfZJIo7QFnlK/ec8FQvbBJJJ6/nVvpS0UUU UUVV2XE92HZnhhiJAQYzKcdSfTrx+NWq5fxhCLTw1qrOEnj1C5gSSNwQAjtFCwyDnOMnPvXTgYAA 7V5/4u0i/uvid4Ymju76OxlDiZYJWCK0YLcgcDdkAnuK7yRZ2nTayrEBliPvE9h6Y61UsdHt9P1T Ub+EsH1FkeVeNoZV25H1GM1oVz3jqHVbnwdqNro1r9pu7iIxBBJsIU8MQe5x2p/gi11Kx8H6dZ6t btBd28QidGkVzgcA5XjpjitwIqszBQGbqQOTXDDxneWt54te5liC2NutxpttLtUsoR8njkgso/76 A711egi+/sKzbU7jz7x4VeZwoUbiMkAADgZwPpWhRRRRRRTXfYhbBY44UdT7CmmGNplnKfvFUqCe wPX+QrybQZfE15q3jDUH1q6SwguZrWBGbcFcvtBUEYG1f1xXrMMMdvBHBEoWONQiKOwAwBVKb/kZ LT/rzn/9DirRrK0a8uLi71WC5R4zb3ZESyHJaIqpDD2LbwPpWrRWZr+qPpNgk67VEkyQmZxlIN5w HYd1DEZ5HXqKj0jWZrq7uNM1K3S11G2AZkR9yTRnpIhIBK54I7Hj3Oqd+9cFdmDuBHPtSgBQAoAA 6AUtFFFFFFVZoZbqaMrcSwRROfMRRjzehHzdQM+nXpVqisLxnaTXvhx4II3kc3Ns2EUscCeMk4HP ABNbtV8ySX20w7Y4gCJG53E54HPGO+fWrFFFZXieRI/DGqbnCFrSVVycZOw4A96qeHtd086Dpccl 3tdrWJfMlVlR22DIDkbWPXgHPB9DW7MhlheNZGjLqQHTGVyOoz3rnz4F0QxOjJM5lihgld5NzyRx tuCljzgnlsYzirWgX17qcl7czuv2VLl47TYo2zRYUh89+dw9OK2aKKKKKZJKkKF3bA/Mn6DvTRGs jJLLEvmJnbznH0/Spa4DxrqV14OttNstJ061mtNT1DEpnlOTI8m8gjB4Y557enSu9TfsXzMb8Ddt 6Z9qRo4/NExQGRVKhscgHBI/HA/KlRt6K20rkZwRyKwfFWoN4a0a/wBZsrcXF9IqJHE7cOwJxx7A sTjsDRN4imk8Vabo1lbq0VzbNdz3D8ARjAAUcEkll57A9+cbV2tw9pMlpKkVwyERSOm5VbHBIyMi syx1M30dxpWqWsa6jFEfNtjzHcIeN6Z6o3Q56Hg+8Ph2ytJtPSaO3uLdl3QNDcnzGhA4aJXPJTIG CDg4GK3gMDApaKKKKKKytfE0kVnbQ3c1r9oulR5ICA4XazYBIPdR26ZqCLw1NE24eJNZbpw8sZHA x/cqSPQJ44o4x4h1ZhGMAs8RJ5B5Pl89Kk/se58pY/7d1LC45/c5OPfy6QaNcBUX+3tS+Q8HMOT9 f3fNMWwvpZlMWuXnkDO9isWWPIwPk4wR15zmpV0idF2prN8oyTgLCP8A2nTv7Luf+g3f/lD/APG6 P7Luf+g3f/lD/wDG6ZLE+mqLmfVr6dVOBCViPmE9FACAkn2NZmv6I40fUry41e+nMdrMyKVhwg2n hfk4PbPWp9J0xdS8Pac9/czXaSwRSyRTrG6P+7AwRt6Z+b61if8ACRQWPjC38INf6+tzKCY5ZI4S hHJBBKZK8HntiuvFlNtQf2ldErjJxHluSefk98cY6Cmrp06wmP8Ata8yTw+2LI9h8mP0oOn3BiCf 2tegg53gRZPt9zH6Uz+y7n/oN3/5Q/8AxulGm3AVgdZvjkYBIh457fu6T+y7n/oN3/5Q/wDxunxa fcRyh21a9lA/gcRYP5IDSSadcSMCur3seFAwoi5wOvKHk9az9JnnfxTq1hcXbXUdlDbmLzEUMpfe WyQADnaO3Fa2oXcen6dc3kv3IImkbnHQZrhBqWtP4W03SU1iRtUk1g2F3eIvIAeRnClu4RQM4PYd 81ueNvDM/iKDSEtnw1jqUNw5Y/wA4Y89Tg11FRReYzGRyVDAbYyB8v198574qWs3WdH/ALZiSF7l ooQsgdVUEtuRkzk9MBjWXcaaPC9tNqljFJf3ENnDawQyY3CKMksAwGSSCzfUAD0ro4izRKWILEAk gYBqOW0gmnjuGjTz4siObYC6A4yASOAcc1PRRRRRRRRWZrH/AB8aX/1/D/0W9adFFVYbqC/a6gEc hWF/KkLxlVc45AJ6jnGRxVhVVECIoVVGAAMACnUUVj6neQ2d+l1cmZo4E2wwRx72llbOSqgbiQuR xxhj6VneJ7/WLjw5qJsdKjWH7I5ke9mMbbdrhgFUE5GARnAOevFP0O61uLw5pk4062lh+yxfuIJj 5m3aMYL4B+hP41meIdON58QPDmrWLRC+tGZLi0lIEnkMCDIAOwyw9Mkfj3NFFFFFFFc3o/8AyPvi T/rhZf8AoMlbl7ZW+oWxtruPzIiysVyRkqwYdPcCoG0jT0niu0slM9tJLLEVOCHkzvPXGTk9axIZ dRtbqJ9V1SSGG33rPl0Ac+YPJPC8l0ByAeM+tdQAd5bcSCAAuOnv/n0p1FFFFFFFFFFFFFFYviS7 SzfSJHVmD6nFEAvq4ZQf1raoqPe/nlPKOwLnzMjGc9MdakoooqtqE81vZSyW6I8qqSodgqj3J9B1 NV9FsEstPjYtLLPKoeWWc5kZjyc+nPYcDtWb4v1uyttOn0dWNxqWoQSRW9nDhpWJQ/NjPCjqT7Gt Lw8pTw3panqtnED/AN8Crk9tHcoVcEZGNynaw+hHIqC0uv3zWU8ga5iXcTt271PRhzz6H39OKuUU UUUUViWFn9n8Yaxc+Zu+1W1q23GNu3zV/HpW3RUM9nbXMsMs8CSPAxeIuudjYxke+CamooopGUMp U9CMGhVCqFHQDApaKKKKKKKKK5rxp/q9D/7DVr/6Ea6WmB97YXaychiG6H0x+dKiLGiogwqjAHoK dRRRXPSzRamLuaJ1YTTDT4/lwwAbEuQ3B5DcdwtbFxNHGFtwGMkgwqRsAwXoWHPAGetcd4T+HMPh e91LVby8bUrybcsE0wy0UePU/wAR7n0A966vQv8AkX9O/wCvWL/0AVfrhviV4rk8G/2XqsWmJduX ki3mQptBUZXoeDgH6qK6ey1YTeGbfWbpVthJaLcyKx4jygYgn2rgraTW7bwvdaIt08Wo3ereQ8+/ mMSlHKrk9RGzHg8BTzmvTI41iiSNc7UUKMnJwKfRRRWdB/yMl7/16Qf+hS1oMwVSzEBQMkk8CmFH MyyCUhApBTAwx4wc9eP61JRRRTVdWZlUglDhh6HGf606iiiiiiiiiiisfxFbXNyumi2kRDHqMMkm 8ZygJyBwefy+orVDxzK6pIDglW2typ9PY0RRRwRhI1Cr14HU9z9afRRRRXK3CNpM9hbSBZJ7rWJJ oY0wNylXJ9hgHJ9cGumSFEleUDLv1Y8nHp9Pb3NPIBGCMg0iIsaKiKFVRhVUYAHoKdXLfEjw9J4l 8GXVjbwmW5VllgUYzuB9/YtW+bCGfTFsLyJLiIxCORHGVfA7j0p8llayvG8lvEzRS+ahKj5XwV3f XBIzWGNL1JtQSB5pvs4nncyLcN/qXwyj/eD8AdlB5GcV0dFFFZ0H/IyXv/XpB/6FLWgQCCCMg9Qa KWiimvv42BTzzk44p1FFFFFFZOoeIbbT9ROnvBcSXBtHuolRRiUKQpRSTy5LLge4rSgkaa3jlaJ4 mdQxjfG5CR0OOMipKKKKyfEV6tna2iGaWF7q9ggjkjjV8MXB5BPQ4IJ6jOaWe21wRkWd7p8TbnPz 2jEHLcdHHOM59TVeW38W+ePJ1LSPJ/27KTd+kuKRoPF5b5dQ0ZV2r/y5yk7uN3/LTp1x+FE0Hi/A EGoaNkM3MlnLyv8ADwJOvrQ0fi87tt1ooyuFzbynB9fv8/SiGLxgoXzrvRXw4LFLaVcr3A+c4Pv+ lW5ZdX8xooW05pQoYI7uDjdjJx2xn8azr0a59t0j7Y+nmMXo3+Urgt+7fpk8frWh/wAVB/1Df/Il K39vbV2/2dnHzZ39c9vwxVSaLxgzMYLvRY1JG0PbSuQMdCd4zzSxx+LxGokutFZwxJYW8oBXHTG8 4Oe+fwqWFfEyxKJ5NKkk7siSID+GTj86ef8AhIccf2b/AORKF/4SIKAx0wtjkgSAE/Sl/wCKh/6h v/kSm48R7850zbjpiTOfrTv+Kh/6hv8A5Eo/4qH/AKhv/kSny/23lfK+wY2/Nv39fb2rLij8R/8A CSXUgfTwhtIVKlHwTvkwQ358e4rR/wCKh/6hv/kSnN/buF2f2fnHzZ39falT+2+PM+wfeGdu/wC7 3/HpTD/wkGeP7Nx/20qKQeJ13vF/ZT/L8sbmRQT/ALwBx+Rp0TeJHiVpI9Njcj5k3O2D6Z70uPEe /OdM246Ykzn61G6+KTv2TaQufuZilO3jv83POPT+tOK+Jt6ESaUFAO8FJMk9iDnjv60qDxIP9Y2l t0+6sg+vc1w9hB8YZbu6d7nTYIpJX2Lc7WCDJxt2gnHTGfbNdFpqfEZJok1GXw68Kj53jWbzG/kB XUwed5CfaPL83HzeXnbn2zXK32katqHifS9ee0jU2F08CW5kVsW7qQ0pP9/O3Cg8AHqTXXUUUUVh eKpnhh0vZFHJv1S2Vt4B2gv1Ge/05rdooormNb1260rxJZs86R6RGBFefLuPmSbvLOf4cFAOvPmD jvWpplzctYW0dwZJLqaEyl2QbUzyoYjA4yBx1xnir8cYQAsd74wXIGT+VR3Vmt09s7Oy/Z5hKMdz tIwf++qsUUUUUUUUUUUVmws//CTXi7fk+xwHO7od8vGK0qKKKKKKKKKKKKKKKKKKwvFUlqkGli5i MjPqtssJH8D7+v5Z/Ot2iiis270DT7+3vbe7iaaK+dXlVmPVQAMHtjaD9abZzXdxrF7i7R7OF1VV VBw207kJznIOD+OK1KKKgt7y2u3nS3mWRraTypQpzsfAO0++GH51Xl1qwh1GOxecCWR/LH90SFdw QnsxUEgeg+mb9FFFFFFFFZENyg8Y3druXebCCTGecCSUdMdOfWteiiiiiiiiiiiiiiiiiiuc8ZOy RaKFON2s2oPHUbq6OiiiikAA6UtFFc7osX9k3PiO4mtrkI98bkP5GTIpjQfIBktgqf8ACs59Fvrv ULt4EdIr7VLXUEnI27IkRNwIPIYmPbj/AG/Y12dFFFFFFFFZMJT/AIS+7GIvM+wQYOfnxvl/8d/r WtRRRRRRRRRRRRRRRRRRXNeN47iS10j7Km+VdXtiMqSF+Y8nHYVb/tHxAL4Q/wDCPxG33kfaPt6/ dHRtu3PPpVixvdWntw95pC2khIBj+1LJgbsE5A7Dn9Kjjv8AWnvRE+holucfvjeKSOQD8oHpkj1x 2zwk2pawl48cXh+SW3X7s32qMFueflJ6Y56+3FSSajqSyKE0OZ0K5ZvtEQwcDjG7nv8AlTRqWqb2 B0CcKMYP2iLJ9eN1O/tLUf8AoBXH/f8Ai/8AiqP7S1H/AKAVx/3/AIv/AIqj+0tR/wCgFcf9/wCL /wCKp6X98ySM2jzoVGVUzRnec9BhuPXn0qrNqmvISYfDnmLkYzeopxg9RjHXA6nrn2psWqeIXgie Tw2scjTbJE+3odif3wcc9+OKY+r+IxE5TwtukEmFU6hGAyf3s44Ptj8atQajqzrEZ9BkjLZ3hbmN tnTHcZ7/AJe9Ty3t6jOE0qaQLjBEsY3ZHPVu3Smm+vg7gaPOQv3T50fzf+Pfzpp1DUNgb+xJySSC vnRce/3v84pX1DUFxt0WdsgE4mi4Pp96lS+vmA3aPOmWwczRnA9fvVP9ouPJR/sUm9iAyb1yo9c5 x/8AqrJsJLifxpfvLpnkLHYwos7upZ/3khAXBPyn3xyOlb9FFFFFFFFFFFFFFFFFFFFFFFFFFFFF FFFFFFFFFFZ0MZ/4SS7k8zg2kC7AR/fl5I6/5NaNFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF FFFZ8KMPEN45U7TawAH1IaXP8xWhRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRWdB/yMl7/ ANekH/octaNFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFeYaLrHiG5+N2p6TcairWNtG0hh CKAY9o8tc4zkGQHr616XPPDawPPcSpFFGpZ3c4CgdSTUFrqthezeTbXcUsojEmxW+bYSQGx6ZBH4 VbooooooooooooooooooooooooooooooooooooorhdK0+2j+M2uXSxYmbToW3ZPO44P/AKAv5V0n iXW49A0d7xrWS7kZhFDBGuTI7dB7D1NQeGbG3gW7vDdfbNQunV7y4wwXO0MqID0RVYYHvzzmt2ii iiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiq62cK6g98N3nPEsTc8bVJI4+rGrFFFFFFFFFFFFFF FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFf/Z ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image019.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAgEAAAGeAQAAAAAlRe/HAAAACXBIWXMAABcSAAAXEgFnn9JSAAAQ 2klEQVR4nO2b7Y8jR1rAe9Z78SLCeqOTyJ4Q26vjAx9AhJMQ2SjJ9B5Idx/hD0AsEhJBCCkJKzQb 7YzLUQATlJORTnxAhDT/wUlIsESbbM/KSJbggsUXOInctIeGOFJyaRuH7XbcXcXzVHW3q+168YyT sImmPrTb/fLzU1XPW73YYdsW54xwRjgjnBHOCGeEM0KthCzektBje1sSfHpza8JsS0LvoSAs/t9l 2L4lP4Xe3Fqjen5rSwIb6m99caz7C0oIPnPCeGuC5DY1hJ/6t39xLjlYvu5curADn1fPXeo4javO j10/N7v+Ry0rwbPIIOnoKQn2Wnz2hO374vPozc9ehoeBsH07nOnDp0X4ctTiy0FIvhAE/yGQ4Yzw 8BD8LQjDT0mGbQjjrQnC8p3bkId9a2/+Z82n3rnzHZ/hsHf9d/QyXLjsWEqDMaIhZI1fuPsTjFoJ 413XJAOjXk53k5uz+FbzK8eXfunqY797/ivdcw7mlT//63C41FyGVnVfZJ7y8rL0lo29RuDVS22E hoFwmxOC1cv1QpsGAh8eT2wEkwy8HFsI2a/qCTk/RhZC2rf1Rd9GiPQEMUswsBAmBoIoXd9MOLbW wrUQor6+JeONCP3IQqA2QtfQDiEneDaCrR0yYiG0DIQAD6nFV1PX1pupWQKoZbQwEyZWQn+uI2T8 eGwhZKTPZkYZIhsBnmgaCQMLYc6izNUQxNRXz0KYsij1jDLYCBGDvghMBNdK6LPERKCuRaO6TN8X ISd4FkKPWXRyK0KAh4xYCC4zeBgsqSULgqhq8DCbEfS1oPw4tRAyA0GUyEJIiZ6Qb0ZgiZYg4k3f QpjyR0yEgYUwMxBE6VkIkYEg4k3LQuizwEwAwzKXroHAC/XWr9VKz0awJnIt0Q7joYJA8AAKA55Q X6ibc0KkIvCC8WbK3n2UOjfSy+TPd7IfD0cO2/kqu3bj/h+y4BXqkmn/uX9oRaGOYIs3WEuQIZwF OsJxqd06AuGEabGkoSBEFgKYBRJmekLf9LpEmCsIlVksfANhGvaQ0FcRRMF4YyJEvo+E7vT0hJ6f g5wtVTsUiRycmAjDIQEZqJLACzcLE6HHCZkbmQihieA/h62dKgkBHlBhjDL4e0jI3FhH4GmYgUC9 m6h1lRdZEprF58RGaM9qedKSMC3ijY2QtRdqAk2XEctMIHMNoU3ESd9CSJmGwIgnPgcWwjxnNetb Enx/tiQYyhQ7SynDsDDNroUALz/4q2g5m+BId8S0hD0VZLMwWs5xLAkpEdMSroUwEISqrNnFBvGG LYBAtiMMNTIEeMgIMxcXTNdYC/v4Bscg0dKbLwlzmeDrCSRlIVHKsJAMy0DIyBR0QaWTXvEZ8ZxQ T0gZ6kK0nLCuCOU7kUWGFH6fKLV6sPxcmAgTUHs1oYgfaBZGwjHFtc1+uE7Iik+x9qknRBm6Q6WH catEzkgYZM25xj94ciKnJ/SylkaGohRKHWgJbtbSeNoTELQy8LdSQfB1AGoi8FIYVqgjZGBYQw2B 8l8vEjmtDDxa6Aj8eGwhpAaCKMWtQSt5jDmNzCH/eZU5zYnjHe5QpzW5fqu/Q89d8ZoqQjW+MZYU DIdkLSkkrBIG5YmmHGM7Zi0pLK3Wwh4tgJC60mNLQlwSkqWZqQjwxESe8VoluHy+WZ8VD7CbJlc8 FYEXjBb6TWVcRnhiZCGEtYn9VQIlCRvtKgkBHjLPoNFYXFTd0TXCyoRlVQZbvAGzQMItxnbXZeDM wiy0YmQe/sahkiClYSYZwCx8NvptRq9oCIVZBDpCyue8kPDGGkGUvoUw5b8xgZT2r80EbZmyMXYG pNXVfpaKIBI5exrG3xyyvFrJWZGhZ9Imhj8+jPljWoJrkWHALjagQ1osr7zUylyQa9xUhkqN60AX nNai2oJXJ6BS+yZCKxNrSU0FIeAEYllOcwXht5qzqrnWCcbiZbTJM+sF+49VAi+o9J4BQMEsmmzG 7a9srzrBbhZT6I4Zt7/SEa0RzBMHoHgxmx3rCZtMHIBScF0oVUpJIDqCcB8iqy47oyRU8cZYRDuF L8vX6jIIw6JaQh9vfuJ+R0/oWQgQLXKIN6/qCSKRM8SbuDdnE/I1PcHVviuKH4MejdpPaQnF+EYf vL1xCJ5691kVIcSD3SyQ0HnmJRUhwENqIVAP58E6t3AVlRJSJ/AyYWbjzrzvcgIqE91dIfCvU2bQ RySQN5HwoiAwBcG2ApSSN+HYuckJZcip1cK2AjRhT8EvdSIVoTIL09Qm1HIfCYMEnqfhaQjHgjBM MD69UycIU21xlEiPVaXP9uHYac7IyFv1clUalpgMq0vbrNhV4FYhZ5VgTOS6KJ7w9835CoGLVCRy +qbAWv5OKrYvVCFH7k2bWWDeMh+/n5LJz43cVUIgEbSb0qlHIGYfppAPTshMJUORyGnDf+a9zb4/ 7qD9zZZBS0HQ5rQYl19POreI+I2hTKglcqGWQCL2J0lnWkhZm10UhPsWwuQ2RpmXIxVBqIA1DcPU J2xEvoIw34zANb458MXXsUQo9Lhr6EksUZjDk61eva1lgj2Rw1/3eqGCIATybYQkfAnq4Q7XCUVx RT9oLeuVBbvLaNtTEQiXxLMmcuA90n1PUQuRO1lTwV0KbTgC69ERJrYNSR7qQGNCxuuEQ9u7opC7 7AZtgFKvE6Ldazuj9i0rYcYCJKhqQfAAVju6NnIajjMvFOvNzrU3s2b7pUXv6Nqv7Ly+B34kaxyz mYIQcEJ1Ue3n6AGOpxuRlRCoxoyoI/TZGAl9ZS2YRCAsTFdUM6Qo1b4LGWna6LLcQoAXHtQIY0ZR hDbfoZI2emxuJuRIqD0SBweLMdvN6R5W8FxrI8LztTow4RM/IvjQI66tFpxA5EcCsFj49eSoDbD0 oseogRCKH41dVivwxiKJMxzupxcPVgKrisBWCfDOLA6z3YMxSy8ceHVfrOyL+oJYEgfcHDMP6kIv s++xG3oCEYRhjVAOJLKn/RsseQFgekJRwbA+5MR2iwO6oC9Cgw7vQ1vrCcUkUsjyH8nPIDjI2YeY w4Uw7K/vfVprhwAJmdxfuzm0xD705m1wciGYxVBPwHwsGAMBenxZk3wW+9kiGd47QBkxW9MT0C2Q cYgEuvzHzSIJaQ5K1b5CMVpgJkJ0BEzDSDIM2Se/jz7pjW+O/7KFMSRAywoySEAYceFUQTjE3ZnO iCdIqRt2lp5tB/shnQ38dp7tvc0ozg5kb60T5kk+9y9Pe1/77qWfmaDKZSWhgU25GMf3DhYU/GSe AWFSm/iTYjfvi5zxpSoqE4joUIqLTUjo18YhDqte5ocFi6ElGTvf/Kf7jnP96rcZuzdHDxGN3wWz WEC8od7HilpIBMYJmAocz3m6nc/CNnRm+FY7Zkl6A9KID00EEHTICTGuiS8ENCDgnoOUfA8IISQJ NkJlvH3hcZMh93Jt3OAaT0JohI6JEEuExoQT4mDBmxiT6ngaglK+xQwEtiTQxsfi/45kEQf4fQ98 S3QEkjyjI+R1Qtp4wAn3boMo+SKhe4T5/SPojH1TLSRC1nzwRHElYIuYHcHwJOj+Mwizr5MhqRNo M36iei4O2RsHDJfs+TdJCDOBGyhabDJk9BkPVOG1X8NLY28zwhMxn4/AZowZoftPsxFr8pvVZrmK kJftsJDbwRM+O24vxuE9mkNvHlKP35z5ahlIkdMWhLRwZ6FQB9SHw1tEQ8hLQiIRJoWny3nQYzl9 Hgbt4uYPQzXBK3KL4jYm4ngKXo7AA/m9JUEuK+2AhHnxEIzjKQbxpIgjkLE6UyuBSTJExfA3DnLe wJlHtYRFpZO+RBisDKAzQp3ISggYq1LjbkG4hyod4BfqDHS1eJsTStd40flT53rpKM9Vx38EwlBD SH9aJjjOW+9ef+EXJcI555d/7+r53yAU0jAVgZLJH3MCKRpdBE2MDLXUFGrRcNUET4w00/rgZHX5 nkBLNjUEd8U/iLK24QwI3/LUhN5YRSjDSjFzRVGoTEMYqwlFZYqZqxxkwHijJMySuk6uEMoLEDdT DSFNVDKMiveK5ZbbmBiMFKNyJOzvqQjFBBl9fSkDTtwpCe0nVYRipqZcboEMn8THagIjj5cEX7pT jOPzd0pCxpf7lQQ2KAmBdKdXJ2AWiFsW15Y3OGFc9oWK8IH4/F9sh4FOhqo3iXSnSObKmasnoRak qyOUPkpO+8s9WIuCsActjlQzQS6lYZWEBGthIWS1aebyDzXlcgsQDugTNhlqBFIQWEnICE6amWVQ l/BnK8LzNoJ6Nmzo4fHfcRFnfDoZYk/IQMl0E0IxJCpXCFGtIPpDA3wMMhgIwtvz74TDdsTdDJPi ccBS3FlOvcgiAyeIVJEWg4ZJA8yABGzUAoWm3qAk0GeUBD7B6XgyId0RSzaHO9gOXrciPKskoAZQ x+Uwp70cYED7dBz2AFqyNy5t8+lVwnRJ4AaVOrvSEAUIj5DncDasaofHVwmHYqYG496jzuM4uLgq E6jT9J4En7sk+KuED7/uOOedAyRcdh75m0dTh8iEK07TvwMEryIo9z+w9KBqyQm/PHkh3cF50/e9 w+bwDsv2Pb0MgnCzIhwJAsmwN8FLHX41uoPptI2AeXiHE36TXx75WQNeuOABYXqHfXKLWGqRIeE+ wZYjXKsj/p+496F3Ji+lIMOLrOxNOlQTnmf1hf8Gl/YVxocnT7KPvsHKeJFrCKQ8E15lzgUZiatA OPoGK6PeQkPAJuAPiPs9rCyOL7nO3mFHDVa2w0y9H4Z7Rh/PPP6VN1eDFQT+R8GSIM94yQTC5Ina ++jvX/VKQoIEbcSRCFXJ0d+nbvkFZWiBq8DBKIxaNyFMCBAmXkVIWNsFP9FFQkt+UCbY5kjdYNRI v53Ag+SUhPa97iw77Fy47HinJBAWL7Al0x1NLeh5TIA7jnOJ/m3jh3cnO+9lc/9fX/3JzsHfveY5 Ox30jQv0RZmuHVbKDJOYoPqaYBwQsaC+5qQn4D8LZQJmF2OuSvXQtELIqqWI1OsuCXlJaK0vLqzL MON5H6iPiuBvQhjzNO5l4UUkQoCEtafXCJDUwcD6BjedlkIGxU6VFQLPQSJu0zwNWiNYZeCMiP0F WyM82JCQsA/Yf5FDPM2UMgR2QgyPeZzATlWLhHmQ7BA8/UGdMNuQEGcAEZ7tUCWDIlNaJcyoW+zy ePl0tYjjWTG2WSWMNySEweXHitNOnRAvLctIOPrgYnlayoC+UnjvzQjfrLLSRkEYCwLdsBadpftp FgT8n3XOo9BGBCmqu3WCqEVoJfjVmRhfBGKnT0lQFa2XqwiRRJDnwqwEodqBSAWqWpxEhmodYH5a AisJmUR4b1sCPZ0M++wktVjbwBGIKdXNCWvmD4SnJIJqw4yVwFczN5dhbWETCOxHp6yF75eEE8kg EzwFQbWoXyd8uDztVQRpi4yd8H2JQNYIm9TiteXpkBPuMmldeBOCNIx8rpKBnUQGaUpfEPwlZSMP Iy0K0D/gH4XXyzYmZJ9Up//DPzrSoHMzL/dRucpMhXp64tv8BITyKUEop3NO4GnfK5/K+M/mgXxz I0K10p3VJnnDzQl/7xUn+eqDmxKkp9a96kYEyc399+kIUu3XNXgjglS+HIT1clJC+BDIoCKoGCci pI2tZVBtRDsZ4RT5g1xgyK/6P8DJCP6WBFe5e/pEBOW/Q09GINsRMlf5b50TEKin/FPBiQjKnY0n qYVX32p3Ghneaykun4RAlJc/b/+wLUFdzghnhDPCGeGMcEb4fAj/B1T8FJTVzWabAAAAAElFTkSu QmCC ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image020.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIf IiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/wAALCAEJAUgBAREA/8QAHwAAAQUBAQEB AQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1Fh ByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZ WmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXG x8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/9oACAEBAAA/APZqKKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK KKKKKKKKKKKK5/xtq15onhqS9sN3nieBAEQMzBpVUgA8ZIJArR1u7lsNFu7qAossURKM4yoPqfaq 2j6hc3Or6zYzujpZTxrEw+9holcg/iTj2xWxRRRRRRRRRRRRRRRRRRRRRRRRRRRRVS11OzvIGmhu IyiO6k7hxsYq34ZFSm8tR1uYh8pb746AAk/QAg/iKrprWkyMETU7NmPAAnUk/rSf27o//QVsv/Ah P8aP7d0f/oK2X/gQn+NH9u6P/wBBWy/8CE/xpyaxpcmdmpWjYxnbOp6nA7+tJ/bek7tv9qWe7OMf aEzn86X+2NL3Mv8AaVplM7h56/L9earXt34f1SzaC7vrKaBXRyPtCgBgwKnIPByAfwps97oFzNJJ Nqtq6ywmGSJrsGNlPqucZ689eadYXegWUTRWd9Zqv3mxcqzHA6kkknAA69hVhda0p87dTs22jJxO vA9etObV9MQEvqNooBAOZ1GCeR3pn9u6P/0FbL/wIT/GpDq2mrEsrahaiNhkMZlwRnHXPqCPwqP+ 3NI/6Ctl/wCBCf40+TVtNiAMmoWqAkgFplGSOvenw6jY3Ks0F7byqgJYpKrBQOucGkfU9PjdEe+t laTGxTKoLZ6Y55qGXXtJiWMnUbdjKypGscgdnJbaAAMk8+laFFFFFFFFFFFFFFFFFFFFYvhS2trX QhBa/NAlzchCTnI85+9bGxP7o9OlNEEQOREgP+6KPIh/55J/3yKPIh/55J/3yKPIh/55J/3yKBDE OkSD/gIo8iHOfKT/AL5FHkxc/uk56/KKPIixjyk/75FHkQ/88k/75FAgiHSJP++RR5EQ6RJ/3yKU wxHrGn/fIpPIh/55J/3yKXyYiMeWmPTaKTyIf+eSf98ilMMR6xofqooWONQQqKM9cCgxRkgmNSR0 46Vh+LkWLQhLEkSSx3dsY3bauw+enOWGB1P51v0UUUUUUUUUUUUUUUUUUVm6C6tYS7WDbby5Bwc4 PnPxWlRRRRRRRRRRRRRRRRRRWX4jVTpBZyQkc8Mjkddqyqxx+ArUoooooooooooooooqsb2IakLA 5ErQmZemCoOD+WR+dWabJIkSGSR1RF6sxwBUQvrQlgLqElRuYeYOB61g6B4k0Qxy2h1fThOby42x C6Qsw81yDjOelaUviXQbfPna3p8eACd90g4Jx6+oNQ/8Jh4Y/wChi0v/AMDI/wDGpU8T+H5ELprm nMoUsSLpCAB1PXpzVn+1tN2s39oWuEzuPnLhcdc81XbxNoCBi2t6eAoVmJuk4BGQevcU5fEOiNF5 q6xYlChk3C5TGwcFs56D1p/9t6TuZP7Us9ykBh565BwD6+hH50ja5pCsitqtkGdSyg3CfMB1I56V JHqunTIXiv7Z1BKkrMpGQcEdexFO/tCx/wCfy3/7+r/jSNqenpjdfWy5IAzKoyfTrS/2jY/8/lv/ AN/V/wAaX+0LL/n8g/7+r/jR/aFl/wA/kH/f1f8AGj+0LL/n8g/7+D/Gj+0LL/n8g/7+r/jSf2hZ f8/lv/39X/Gl/tCy/wCfyD/v4P8AGj+0LL/n8g/7+D/GsvxLqNj/AMI/df6Zb8hQP3q9SwA71uUm RnGRn0paKKKKKKKKKKKKQnAJPasW38PWBu11D7DbrLIHV90IDCNxynHuASSCeorU+xWvH+jx8KVH yjoeo/U0wabYhpG+yQ5lbc/yD5j6n16mua8a3o0+0h0vRrSA6xqzfZ4SI1JiQ8NIwx91Rjrx0qLw l4M8MR6Alo+ladfS2k81vLPLbI7syyMPmJHXp+la/wDwg/hTy3T/AIRzTMPnP+ipnn0OMj8KavgX wmsaxjw5puEUoM2yk49zjJPueaX/AIQXwnvV/wDhHNNyhyP9GXHTHIxzx/j1oHgXwmC+PDmm/OwY /wCjJ1GOnHA46Dj86jn+H/hC5QJJ4dsAAxb5IQhyfdcce1MPw78HFYh/wjtliL7v7vr9f7345p0v w98HzSb38O2IO0L8kW0YHsOM+9NX4deDlEgHh2y/efeymcfT069sU3/hW/g3er/8I9aZXGODjj1G efxpx+HXg4wCE+HbLaO4jw3/AH11/Wm/8K28GYUf8I9afL04P688/jUh+H3hAs7f8I7YZdNh/dDG Pb0PuOfeoj8NfBhVVPh61wvTG7P555oX4a+DFzjw9a8jBzuP9aT/AIVl4L/6F+2/Nv8AGlT4a+DE YMPD1qSPXcR+RNPk+HXg6QNu8O2Q3tuO2Pbz7Y6D2FR/8Ky8F/8AQv235t/jR/wrLwX/ANC/bfm3 +NeYeO9M0RJ7y78PaXY29poE8SXLmMkXUxODEM8HaOo7k17g1pbXK75reNy8YRtyg5Xrj6ZrKmS2 Pjy1b7KftH9mzE3GOCvmRgLn1GSfxrdooooooooooooqlOq387Wjx5gjKtITkbm4IXpyOhyD2xV2 ioL29t9OsZ727lEVvboZJHPRVAyTXL+ELG71TULjxfq9uIri8QJYRFsm3teoBHTc33j36fSug0rS YdIjukhkdxc3Ut02/HDO24gY7VfooooooooooooooooornvF+q3Fpp6aZpkqrrGpkw2Snsf43Psq 5JP09a5Xxz4dt/DPwcutMsixWNo3mkaTDSuZF3MePmJPb/Cuy1nW/wCw4bSU2890smVMFrbvLM/H G0Dge5bAqhbTXl146tLie1mto20qcCN3DAETR9SON2MZA6V1FFFFFFFFFFFFQXVyLaNTsZ3dgiKA eSfXHQepqSGMQxLGGZsdWY5JPrT6K4vxEV8W+JovCKgtYWqrd6m4GQcH93DnsSfmPsK7MAKAAMAd AK53wY7PbavuctjWbsDJzgeYeK6Oiiiiiiiiiiiiiiiiorq6gsrWW6uZFihhQvI7dFUDJNcp4Os7 nVr+68Yapa+TNfAJYRMQTDa9Vz6M3U+2Kq/Fx4z8O9SM525kiWBWQEl946HnqM88dPeu3i/1Sf7o rngkFv8AEK3t4LdYs6XPKShwCWmjJ+XpknJz1Oa6SiiiiiiiiiiioEjjllW5PzEAiMsuCgOMj15w KnorB8Ya/J4e0NprWE3GoXLi3soB1klbgfgOSfpS+EPDa+G9HEMsgnvrhjNe3PeWU8k5x0HQVsXE pgt5JVjMjKpKoOrHsKpWEkdzeSzWF1B9kjaSKeCOHB+0BvmJbPUYIIxyTnNXZlnKnyJI0bacF0LA HseCOOvFMt0vF2/aZ4JODu8uIpk54xljjjP/ANaoZYtVMzGK7s1izwr2zMwH18wfyq2BJ5WCy+Zj 723jP0z/AFqqkeqBFEl1aM28FitswBXuAN/X3/SprlbpgPsssMZwc+bEX57dGFR20epLLm7ubWSP H3YrdkOfqXP8qXZf/ai32i3+z9k8ht//AH1ux69qmIl8twHTec7CVOB6ZGefzH4VTWLWQw3XtiVz yBaOCR/38qxdLeOi/Y5oYmz8xliLgj8GWkhS+EgM9xbuncJCynp6lj39v8aklWct+6kjUbGGGQt8 3Y9Rx1yO/qKSFboQETSxPLjhkjKrn6Fj/Oo4kvxCRLcW7SZ4ZIGVfy3n+dWG3EfIQDkdRnjvUUi3 ZuY2imhWAffRoiWP0bcAPyNcR4vnj8S+Irbw213HBpVpJHJqkjHiWRmHlW4P949SPSur+12st7Jo kbAvHGGkjijwsURGFVj23YbGPT2rjPi/E8XgCW3DRtGlzAsMaKdyr0APJz+ld9Gtzt/1sW3y/lHl nIPYnnkYxxXL+I7p9B8TWmtvcw3E08ZsbfTkiIlmDupyrbjypAJOMYz3xVq7u9UPi+60eLUFijvN M821/dqzW8ivtZvfhgRu4JGOxrpEUrGqsxcgAFj1PvTqKKKKKKoazqD6bp5uUUYDANIy5SJe7tgg 7R3I6delQaRq9xdTNaX9oILgL5kcsLGSC4j6b0fHHbKnkZHUc1ZuZfPuRYROm4APOCQSIyT/AAnq Gww9quUtISFBZiABySe1cV4YeTxfr83iq4VW0623QaQhPPUiSQr/AHiRgH0B+tdtUbxLJJG7ZzGS VGeM4xWJ4StLi0t9UFzA8Rl1a6lQOMbkaQlWHsRW/RRRRRRRRRRRRRRRWN4p1ttD0dpbdFmv52EF lAx/1szcKPoOp9gayE8MwHSk8ONdEztC91dO6ktJMzZVy2MfK+T1z8qjpmt3Sm8nTobnUIY7O+uY 1e6VmUEyBQD0JGPoa5r4qG1n+H15eIVmMEkEyFDlWO9cbiP4cN6jqOa7VXCwh2IVQuSSeBXOjwba yeOU8Wm+nmkWExxwSYZEyMZQ9uD29T61rx6Raxa3PrAMjXU0KwEs5KqikkADtySavUUUUUUUVnW+ tWlxfy6dJvt7pGIEM67TKo/iTsy4546d8Uum6dFp0U4t7K3tt8jFY4GO0jJ2nGMAnOSAO/erFvax wvJPsHnz4Mr45bHAH4DirFFch4tv59W1CDwdpU224ux5moSo+DbWoIDcjo7ZwPxrqLO0t7CzitLS JYYIUCRxoMBQKdJcJHNHDgmSTJAHoMZP4ZFS1maHq51iK9cwiL7LezWoAbO7y227vbPpWnRRRRRR RRRRRRRRTXdI42kkYKiglmY4AHrXGaHPb+JtWn8YXkoTTbAvBpqy/KiqPvzknjJOQD2UVp+HvEze JtSvJdPiQ6NbfuUujndcTA8lO2wDjPcmr01quoaoJ3tvm08/6NJIMZkZGDY45Xay8+o9q5f4k2ia V8Jb6xjcyJGkUYaQgMR5i+g56dPSuywtyn2c4KBV8weoI6dfp14IOKs9KWiiiiiiiiqmoaZY6rbr Bf2yXEauHUOOjDoR6f8A6xTYi13eGRolEFuxELZO5n5VjjAwByO+evpV2isvxHrkHhzQ7nU51Mgi ACRL96VycKo9ySKzPBGgXGl6a+oaqqPrWpN515Ljnk5VOeyg4xXSu6xozucKoJJ9BS9aOlYOjLca Vb6ksmmS838syeTtYzLIxYN97rzz0rcLkBfkY7j27cZ5qG1u2uSQ1pcQYUHMoUfhwTzUVzqUlvO0 S6ZezgY+eJUKn82FTWly11EXa1ntyDjbMACffgniqyarK8qodJv1BbG5lTA9/vdKuTzGCMOIZJju A2xgE89+SOKghv3lnSI6fdxBgTvdV2rjPXDZ7fqKLu/e1lCLp93cAjO6FVIHtyw5p9pdtdRs7Wlx blTjbMFBP0wTVX+2Jf8AoDaj/wB8R/8AxdXJrlorTzxbTSHAPlIBv5+pxx9ar2+pyTzrE2l3sIb+ ORUCj64Y0+8vntZFVbC6ucjO6FVIHscsKfZ3bXasWtLi22nGJgoJ+mCagfVJE340q+ba235VT5vc fN0rlvF1/da/qNp4W09ZVSVPtOq7OZI4QAREcHAL5x16fjU3i6ZL/R4/CFlptxFPqkAWFRGoSCIM odjg4GwEcd+AKs6FoaeBPD0OkadFcXzPKzmVYR1JBO7BHbgHPYVcvvEOmeGNDkur+Geys7QJGu9A S5PACgE5PrXPfEbVbTW/h3GljHLP/bMkUVk/lEDeXBGc8jIDdq71AVjUHqABTqKKKKKKKKKq3czF 0tYNjSyEFwWGVj7tg9fT8anijSGJIo1CIihVUdAB0FPorhrGU+OvFrX27Oh6DOUt0x8t3cYwXOeC qfw47813NVbyzh1GNIpXJiSVXZFPDlTkA+2cH8KtVVuk+0sLN4i0EqN5pIG0jgbT9cn8M1YVVRAi KFVRgADAAp1FFFFFFFFFFFFFZHibXE8P6JNebfNuD+7tYQMmaZuEUAcnnrjtmqWgaafDej3ur65O jahc7rrUbjOVTAyEU9dijgD6+tJ4et55ZLnxNq8PlXN2n+jwshMlrbAZCY67j95gO5xzgVv2xkeL zJVKM/OzdkL9OB9fxrzf4v8AhjX/ABNcaLBpdq9xaI7ibY4GxiVAYg9sZ5+ta/hSzOtaqus7pBpe lBrLSo3OfMCgI05J+9nBAPXrW94p1O+0vRml0u3FzfyOEt4SCfMbliP++VapdI1GTVna+hcNp8sM ZtyAOWOS/Pt8o+oNalFFFFFFFNd1jRnc4VRkmmxJIgbzJfMyxK/KBtHYfhUlFcr421GeSO18NaZO Y9S1h/LEiNhreEcyS/gBgdMk9eK3tK0y10bS7fTbKPy7e2QIi9fxPuTzTtQkmS2KW6OZZT5asoz5 ZIOGPsKfZWiWNnFbIzsI1ALOxZmPcknkk+tSSypCoLtjcwUe5PSn0UUUUUUUUUUUUUUjMqKWZgqq Mkk4AFcbpfl+MPF767udtM0dmt7EHOyabGJJhxggZ2g89Can8V+GLrxhqEOnXc81rokEZkla3mAe 5lPAXGDhVAzz13e1c1J8Jbh/FsF9F4n1KWxUMJXa7P2qJwo24fHPbsMCreu+ErXSNPldPF/ieS8I C29uNUy8sjHCgLgE8kZ9s1gXnhmXT7zRfDMPiPV2vtSZZNVRr8+TGmPnGAMguSQvPOOa7Ww+HFlp c0LWOv6/bwQPujtVv/3KjOdu0j7vtXTTWXnahbXZmYC3D4iwNrMwA3fUDI/4EazksH0C1t7bR4Sb eW8ZplK7jGJCxLKMjADEcdhmtuiiiiiiiqi3DXF5sgYGGEsszDB+cY+X265/SrdFU9V1O10bS7jU byQJBbxl2Pc4GcD3rnvBml3l1JJ4s12JV1bUUAjiHS1t+qxj3P3ifU+1dYSFBJOAOtVrC9TULZbu Fke2mAeCRCTvQgEHkDFWqgaKC6eKYlZBExKdCA3TP1HI/E1PRRRRRRRRRRRRRRXI+M9WuJ7uz8J6 Ud1/qZBuGB/1FsD+8Y+mR8o+pxzijxFcS6Haww6NbeTb6NEt7LHH8qmIEqY/TlPMPsUFa3hq2to9 OlvbQgx6lO94CN20hzlSAemVwSPUmtO3toLSMx28SxoWZyF7sxyT+JJr5/8AC+vTT/E3UfEus3G8 WEcrt8q5b/lmkagjqSygY5/WvSdK0C4W70+9111/tbULo6hO4/5YiNPkgGf4VDn8j9a7a7u7extZ bq7mSCCFS0kjnCqB3Jp8U0U6CSGRZEPRlORWNca5dWfilNOuLVVsJ7cmG5zgmYBmKHPBGxSePQ1p 6fJdTafby3saRXDxhpETOEJHTn0qzRRRRRVS6vUiSJYyXe4k8qMxruAbnJPbAAJP0x1qSytIrCzj tYd3lxjALtuJ7kknqc1PRXDXVzH428aLpEaM+laDJ516WX5ZrjpGgPovJP5Gu5qtcxW2owXFjI+5 SNkyRyFWAIzgkHIyP0qwAFAVQABwAO1VNTF3JaGGz+WWY7PN/wCeQIOW6gnHbHciprS1hsbWO1t0 CRRLtUD/AD1qaiiiiiiiiiiiiiqGtavbaFpFxqd2SIoFycDJJ6AAdzmuW8FaRfW1tNrGpAxa9q0p lunIDrEg5SI4+6NpH6fSui0v7PfW8+q3Gnm0mu4wk8VxjeqKDhXGSAcMTj0as9W1y9cz2/lWunmO WOAwSeZlCo8mVVC5z1yvTBHXFcZ411jxTJf6Z4J0p2nvLuzjbUJEJDZ4DfP0VflJJH941n2vw98M aj4wlkgtpRoNsVs5D5sj+fdknOxhk7VyASSBnNdLqXwn8N3F9aW0Z1KIFZGZ47wsVAAHO/OAcnpU mofB7QLnSri2guL5J5F/dzTXLyBG7ZXIBFa/gvwHZeC7d0tb+8uGkyXEkmIyfUIOAeOvWrV74WTU bC4t7m7cyyX63iTqDujKspCjJOPlXbx2J4rRtb2efU721kiVEtiuxhnLhlBB6Y67hxnoKvUUUUVW v3vY7N20+GGa5GNkc8hjVvXLAHH5VzmnReJ7Zr5xp+mPLHcMtuhmeJfLba2MhCDyWOcZ7Vdnu/F6 TMsOkaTLGOjnUJEJ/Dyjj86ke48VLcIiadpTxEDdJ9skBX1+Xy+fzFZXi3W/FGh+GtR1KO30yP7N EGSTzXcnJwflKgZGR1JFZPhux+IukaLDBb2fh9/NJnkkmmlMkjudzM5AwWye1Xbm/wDijbqpj0bQ Lkk8iKdxt+u4iqenn4o6dbMh0rRLmZk82WeSZg8z9NpwQNwAA9MAc06TXfipDE0snhnR1RASzG56 D/vupDq3xUMCuPDmjEuSNguCGUep+fHOfXPFNtdX+KMswt/7A0SPZhXZ7ots4yN2HJ/TvUdr4n+I N694kNj4dL2V0LaRWmlUljjBGTgjn6nB4zWn5/xN/wCfLw1/3+m/wo8/4m/8+Xhr/v8ATf4Uef8A E3/ny8Nf9/pv8KQ3HxNAJ+w+Gj7Cab/Cq8upfFONSV0LQpSMcJcMCcjnqw6dD9eM0i6l8U2jVzoG hqWYgobhsqPU4bGPoc1MLv4nnzM6Z4dGw4GZpfn46j+XOOlRQal8Upgxk0LQrfBA/eXDHOe/ysen +c07+0PicVZo9K8PSqNpRkuJMSA9xz298e2aJdR+JiBjFpnhycjgLHcSZJzggZI6d6ZPq/xGgjZz Z+GXAYRjZcS/NITgIM/xZ9ePeiTU/ioh+XQNDk+QN8tw3X+7yw5H5e9RnWviert5mhaFHGpIMz3R CA9v4888Dp3qmZtW1/xba6P4wS2gNlANQhs9NlbMsgYY3HOcoAxwOueM12Rh/tO7SKUF4REfPPQS qwwI3QrjkEk9CMDsafNaC7vzbKVe2VcXJEpDDuse0EY6g564GO9c98TfHsvgnT7UWUMM17duwVZS dqKBy2AcnkjH41h2+p37aBpqWV88viLxcySTz7ButoduGZAMbVUDjPfPeu4bw9bWHhEaPZxtsto1 aMLkGSRCHBO0gklhk8jOTzTrW5S912zukGBLpztjIJGXTI4JHHTrW1RRRRRRRRRRRRXKfE7/AJJx rP8A1xH/AKGtdJY/8eFv/wBcl/kKgsbp792ukJW15WLlWEw4xICOx5x+dXqqsLa/kMe5ma1mUnaS MOBkDPfg9KfBfWtzH5kFxHIhkaIMrDBdSQV+oIIx7VSs2xqWsGKLdIsicF8Bz5S47celZNpod3p9 xZ6rOwMUVluvrUZkPnrlg0fHXLyDtn5fTjetNTt71mEBZlUKS5XC/MoYdfUMKcdTsBfiw+2wfayp YQeYN+BjJx17j86sb1/vD86XIPQijI9aMj1oqC+CNZyJIsjK+FKx5ycnGOOQPU9hWfBf29rYQSyx 28Lx4t3it1LAPjiOM4GcHjp2PSnxzW0G64aRWMDiJsRkiIEAbEwOuduRzz+FNddOsbk30oAW2Uxq 6ghItzAbQo4LE+gz09aSOU3Mkzzz7J41EsYNvk2YK8qW5BfBOee/THUE1oLw+biJYkM0kBC4hOSf MYj+I8Y5zya5We6uLL4gTTx2zXcP9hK8NpJxPMRITgbjycgk55FdDZSz2FikDyxXE107NFOuE+1Z HG5lGBIB9chfy3YFlSBFmkEkgGGcLtBP0rzT4leGYPFlmddmvPsVppAdS52v9ojHLFMHrnCjJ5Oa 1/A3huRLSbxBPax6df36ItvEqZ+yWyhQke09CQuW9zXUR3N5aokd/CZmI5mtoyV7DlclgTntkD1r E8P3emR6tf2tu0EVrpcEYicPhUjlZm2noBgqAB1AA9a6uiiiiiiiiiuU8VWcU/iHw4G3D7RePHNh 2AdBDI20gHpkA1rf8I1pHk+V9lOzLN/rXyCevOc/4VFL4S0WUANbSjClfkuZV4P0brx16iub+I/h zSrXwPq17DbusyW4Vf37lR8687d23PvjNb7+HNH1RY5LuOZ5pbZA2y5lQbQB2VgAenPUj2qT/hDt CDZW0kQDaAiXMqqAvQBQ2APXjnvVS/8AB+mxafKbCxlnuVGYo5NQnQM2MAFtxwO//wBerGh+DdJ0 AxS2qTm4TcXka5lYSMw+ZipYgk+/SkTwtb22pDUYz9punuvOke7YsEGCMRqPlQjIwQM9cnvVmziS fU9aikXcjyRqwz1BiWh/C+iyKUexV1PVWdiD+tY2v/DLw5rlhHaLA9gYmBSS1baQMYxg5GMY7dhX OD4EaMmqwzjU7x7MKRNC5G9jjjDjGOeelWW+BvhorIFvdSUtnafOX5OeP4eeOOa4a38N6PqXj238 K6DrOs/ZNjrfys2BlATgDA43ZHI6tx76H/CB6faaxrGlPqusohiElk4mUC6kQgOCAPmIZlwOvJ9K 6s/BjTZgpufEGszMTmUtOD5hxjuPTj6V2Hhnw7b+F9Gj0y2uLi4RCT5lw+5j7egAGAAPStK5OIGO 4jp91cnr0xWDHDdi6aOIPaNsjRyqkxW8e7hEHAZzk5cfd49KkNvItyTLH5LBNsjxFgAjZxFHyMuT yWxnn6YcNLnjntI7WJIFhypfc37mIjlV6h3JHLN0yT1pssBtsRW15FAbb5EcszCBDgDIJ/eOduOe Rnv3ltrecYkdVhQZeONiSWPAMsjdzg/d/Xjjno8j4l3N1dRwTQNo0RhuYRuZl8wfOQB/eJ6HGBW/ o1r9oujqa3RktimyGONCkbNubfMB33ZGDyMDI61c1G4dp4NOgyJbnJdsHCRD7xyOh5AHOcnPY1wf iqSHXtYWxsmCaL4ZXz70xsUjacH5IuOPlxk+mTXctq8k00sOn2E10YiA0rfu4jkA8Ofvdf4QcHg4 pHs9VvUK3N8tmjAgpZr8/wD3239FFcH4rsydGu7HQ7Rvs6X0EN3eTMXkuZvNTO/ILSKNxz78DgYr 04Mp6MDnPQ06iiiiiik6U2WRYYXlbO1FLHHoK56+1DTtV1HQ5rSdLlob7kwsHERMEnDEfdyDXSUV ynxP/wCScaz/ANcR/wChrUWj+MvClrYQNdeI9Le9aCNLiVJQvmFRgHGeOp4q/wD8J/4R/wChj07/ AL/iqWm+PvDUnnXVx4mswJ2BigeVV8lAMAEdcnqc+vtV3/hP/CH/AEMenf8Af8UjeP8AwnsPl+Id NZ8fKGuAAT2ye1VtM8VaENS1iSTVrNSk8auBMD83lqDj+8MgjI9DWsPE+hkOf7Sg/d535ONuF3HP p8vP0qCHxp4ZuZ1t4Ncs5JmGVjWUFiMZ4HfjmmDx14VKNINfsSiEBm80YUnoCe3Q/lWfrXxN8Mab o9zd2usWl5cRxnyYIpNzSP8AwjA7Z6msbwjqfg3SIzqupa/pU+v3m57y6Ey53MclV9FGAOPSrZ1X wLcRad9u8UWNzNp1495FL5yIS7MzYIHbLDgf3RV3SfiV4evIXlvdX060xI6KhuPmIV2UNz2YBWH1 rRj8d+E5ZFjj8Q6ezuQqqJxkk9BUV1488JLDLG3iOyRsFTsmG5T0496y7Pxf4ZhgSCPxLp1tswrB LjcqpknauTyxzy/1qzP468OHIXxJYrDtIllWYnavOAuP4z6+3TpVqHxV4auglzFrVrI9uhyfP3qg xliccZ2g80yLxJ4RtGjI1m3iVFZhE7bBuJ3M7KQDuzySenPTJpl54h8Ka9bLpi67YXKSyjfE824S ZPCnBHG7H5YrOtWtdR+Jxk0+OJo/7FRXmDHbsMuMKoPcAgHtjvWv4+8RP4V8HXeo28ZM2BFDjojt wGPsOtea/DzXPEEPhC9jt7ua41PVb0Raakw3EMBmWXLZBUDr7j1Neg3nhTS9H8JXcKw/aJWBknmm JdppGwHc57t3xXWgADAGAKWisSDw1Hb3sV2l5KGiunuAoUAZkXEiD0QnD4/vDOa26KKKKKKyvFFp Jf8AhnULWK3a5eWEr5KttMg7qD2JHFc9q9xqnhvSJ7Cd57jTmgIt9RZRLJAeMRTKQQwP3d+O/Pqb ur6XZWfiHw3NZ6fHAReOjPBGEAXyJMBsDkZAx711NFcp8T/+Scaz/wBcR/6GtdBYQxJp1sqxIqiF AAFAAGBSObK6updPeFZGRFkcGPK4JOAT0z8p4qz5Uf8AcX8qPKj/ALi/lR5Uf9xfypFghSTzFiRX xjcFGcfX8TT8Dnjr1pNig5CjPrijYmCNq4PXiuE02I+M/HLay0aNomi7orHn5Z7jOGkAx0XBXn0B Fd15Uf8AcX8qRoYnUq0SMpGCCowRQlvDHGsccMaIoAVVUAADsBTLh7e0tpbmYKscKF3bHQAZNcn4 f1XWrx7bS9S8pdQhuS11JHGuHt9m9CBjoSyrkf3Tzmuw8qP+4v5UvlpjGxcfSgIoBAUAHtiqOs6l HpFhLfSxmWOJGZkjXdI2B/CO/qfYVLYRRfY0dWWXzRvZ8D5iefTpXPxRgfFe4dWfJ0ZNy9v9acVo a1p9jrcMsWrJDLo9uheVJARmRTnO4EcKAcjHOfauZ+Gmmfa/M8SvaLaWrx/ZdJtVJIgtwTk885du cnn866zxOwTw3fM3RY8njPcVqA5GaWiiiiiiiiiikIDAggEHgg96y9WYtd6Yu0jbfAc9/wB05yK1 aK5z4hLE3w/1sTKxX7I5AUZ+b+H9cVsafKJ9HtZbd0cSW6NG/VTlRg/Spba2W2i2gl2Y5eRgNzn1 OBz2/KsfxZ4w0zwbpyXupeYwlbZHHEAXc4zwCRx71N4a8U6V4s09r3Spy6I5R1cbXU+47VsUVHPM tvbyTv8AdjQu3ToBnvXIeGfin4e8U6y2lWn2iGc5MRnQKJQPTBPOOcGtvXpdLvLG40q71pNPaZdr mO4SOVVPYbs4yOOnQ1HpN14a0TS7fTbDUrCO3t0CIPtKZPueeSepNXP7f0b/AKC9j/4Ep/jTJvEm hwQvM+r2W2NSzbZ1Y4HPAByfwrm9H+LnhXWdTmskuJLURxmRZ7oCNJABk4Oc5Hv1rUl1/wAMeJtG khi1+2FvPhWZJ1R8cEqQ3TI4II6E1oXGm28N3cavZwJ/ac1sLdJSGYEAkqCAemTyePrUNneapd6o iusMNqttG8qBdzpNzvjJBwOChH4+orQ1DULTSrCa+v7hLe2gXdJI54Uf57Vyug/Fbwtr99JZx3bW kqybIvtQCCYZwCpz39Dg1seLnjg8OXl01s08kcLqpSLe6BhtJHpweT6Vq2szXFssrxmJjnKFgxXB xjI4rmGZ4/iz5fLLcaL1VceXtl9ffPeq2sqnibVk8H2Jxptntk1d04yOqwZ9WPJI6Ae9bng67F/4 P0q5ECW4e1TEUZJVQBjAzz2qXxMwXw5esxAAjySTgAZFanXkUtFUrjV7C01GHT7i4EdzPG8sasCA yr945xjjI71YtriO6to7iLd5cqhl3KVOD7HkfjUtFFFFFFFZOq+F9H1u5judQtWkniGI5FmdGTr0 KkYznnHXvVSTwNoMmMxXgxn7uo3C9T7PTf8AhAtA/wCed/8A+DO5/wDjlYXjvwZoVt4K1W6VrqB4 bYsjPezuu4Y2gqXIOSAOR1Oa3PBQuZvD2lXTystsNNgjhhKledg3M2evIAHtk96fL4G0KaZ5XS+3 OxZsalcAZPsHwK5bx58MNL1DR4hp0s9vfLMqQNcTzToxY42ncW2g8fNjsM1c8GfC608P6HcWepTG 5uLuRXkktpJISABwm5WBIB3HtnI9K37bwVolpcJPCt6HQ5G7Ubhh+IL4NT6xpOm3Fqft8t80WfuR XUwLHrwEbJrJk8Fafq1rLBJbTWllcRBWR5pGnOOOpYhRgD3OTnmuZ8I/BdNC8QJqeo6hHeR27kwQ rERnrtYnPBHBxzzXV6h8NvB+pXJurzR0eVgAz+dIucdM4asZvAPw4+2SWcWjm4uYgDJFDLM5QE45 w2Bz261zOo/D3Q9e8VxaDoelf2ZDZr52oXYnMxXIwsWNxAbIORnpg+1dbF8HfBieY82ns7OoBAnk VEOOSo3ZH4k1xmjfCnRNM1a+uNe1uxvbC2VgkMMjb8kZDOFORgZOBnOM9K6HTvhr4LgtUhGhalqs uATPJviDHHOMsgH0/nXZTTeI5IzHp+n2NoqgeW95Mzn6FEHp/tGpxY6pKrifVFiDMGH2SAKw9QSx bP1wDWf4g8F2niDwudEuLu5cqCYriaVnYP8A3m5G76HiuL8D/Cd9GuRqc2o214TLJbywNCfLeH5k kHPcn2xx710GsaHq9uq2Kp/aOmJHMYJXb97bDyXHluSf3iklcHqNozng124+VeB+ArzTxN4kfQvH MV2baRtQvtH8qwtjniYy/KjY4yfU8DH4113hPQE8MeHxbzTmW4kZri7uHwDJI3LE/TgfhVP4bTTS eBdLWa2aAJCFjLOreavZxg8Dnoea1PErB/Dl+IyjMqYwTwDxwf0rVHTmlpkcscw3RSK49VOa5bxJ BdanqGmXMGmySppmpoH3JgyIylZGHT5AGB9yuMYFdZRRRRRRRRRRRWdr2jW/iHRLrSbp5Ehuk2s0 ZAYcg8Z+lcbF8LL6C3jhh8d69GsYCqqzEKqgYAAzxil/4Vjqv/Q/6/8A9/m/+KqFfh5qTXr2ifED Xi8cYdyLg/LkkAEbs84P5VPP8Nb6MF18feIURRzuuC39RVSw8A6jqMbyw+OvEqxK5VXldk34OCQC 2cehxzU58AyWs4S7+IevsyKZHiS7Idk6AgZJ698GnL4FFwHlj8ZeK7aEIGD3N2U7/NwwB6A9QMZB 5plv4ELW8058f+IrxFUbTaXTNg5x0Xdu6dBVe4+HyanG8Mmr+L72EEOqXFyERsHph8HOD1I7ZrI8 TeGNd0DTJbmPxVrkbSskWm6et800sjkchj8owP8AZzgetdFp/wAKpLe3SRvFmvQXc6h7wwXeBLLg ZPTPqOcnpVqf4YLcLLFJ4u8SvBJGUMb324EnOc8cjHas7QPhfbWQv7W18S69aRwThFW1u/KUny0J YgDkkt+WBV0/DO9K/wDI9+I92Tybo9McDr2Pfv7Uv/Cs7vy2H/CdeJN5Pyt9rOAPcd+1LB8M7pY3 Fx448SSOfuMl4UC/Uc5of4Z3BVvL8b+JVJHylrwnHP8AhxUOm/DsT200kfjDxMsZmlWJRe7dhDsC TjO7JBOeM1U1T4capa6Vd3B8ea7IIoHfY0zYbAJwfmqaX4Y6jcS7E8ea99nCBZFklZiz8cg5Ax14 5x61paN4LsNG8YR3U9/qOq3QtWa3l1CfzTBghW2n33/hz611RsV+zPCLi5G8li4lO4Z9D2rg/C3h rS7nStDv9P0SeznmhWY30V437nDAlTlstuxjG3BBPSujuPDenapqF6FWS2iZGSf7KTF5srjlmIPz MBjBI4yCD6Xv7BTyooxqWpARfdP2tsn6nv8AjUsekiOSJ/t983l/wtOSG5zz61w3hn4Qpot1Lcza /qKb5G2w2Vw0KlNx2hmGC3HXpzXpCjaoGScDGT1paKKKKKKKKKKKKKK4208YwPZzXNlHd38l5PIY zBayyRoFIjUZAx2BxkD7xyKnEmutcefFpMlxcIFaK4vJFjUBl52xqflK5IIY5xnBPSrRsNf1NHXU ZLW2VHUosMjusgBDZIGwqQQP4iCM5zUi+GQZ1ka+kjRF2BbeNY227g2zzMF9uc8bu9X4dG02BSqW cRBz98b+vXrn0FXFRUXaihR6AYod1jRncgKoJJPYV5p4DutZ8ZeJ5vEes2pOn2ayJpbtHsUbnzuU HknaAN3pkda9NorN0r/j81b/AK/B/wCiY60qxLnxVZQandafFb3N1LZGEXRgQEQeacJnJBPHJwDg Vt0Vm6D/AMg1v+vm4/8ARz0uuRyXWlXFhAVE95E8UZbO0ZBySQDjAyffGKuQKqwhVUgAkfMMEnPJ /E8/jVGT/kaYP+vKX/0NK0j0rl/BbTReANFgRWSd7ZVAOAyerYPXHXFdNFGIowgOe5PqTyTT6KKK KKKKKKKKKKKKKKzdf1mPQNHm1KWF5liKjYnUlmCjnsMnrWgiJGgRFCqOgUYAp1FFFFZuqwadq8U2 h3dwQ08O+SKKYxyGPOCcgg7SeD65xU+ltYNpluNLMRslQJB5P3No4GPbirdFZulf8fmrf9fg/wDR MdaVcsLXUTr+n6zJpyWEoglGptHIHWSMA+WmerMGwwOBgZGecV0drcx3luk8W7Y6hl3KRkEZ/rU1 Zug/8g1v+vm4/wDRz1pUVmSf8jRAf+nKT/0NK0XDnG1guDzxnI9K57wH58vg7S7i7MjXDW+GMpy/ U5yevOM810dFFFFFFFFFFFFFFFFFFczr/hWfXItQZ70CedUitQd3lwRBkdhtzgsxTk/QfWceKN2u waYLNh9pMyxSM+AxjCNxxghlkyMehrfoooorhddW/mvbjxBpts9xdafdfYIoPJKmaF1VXGe4Ejbt 3QbD712NhBBZWUFjAy7beNYlAwMBQB0HTjH51ZormdPTxE2p6ndLa28NrNchreK5kZZMeWiljtyC DjgHkc1pb/EH/PDTf+/0n/xNMlHiCWJo/K05QwwT5rnjv/DTbS31iws4bO1tNMiggQRxos0mFUDA H3akebXo13NBp2B6SyH/ANlqbRY7yLTgL+CCCcyyMY4G3KoLsRz3yDnOB16VforNd2/4SaBNx2my kO3PGd6c1pVV0zT4dJ06Cwt2kaKBdqmRtzH3J7mrVFFFFFFFFFFFFFFFFFFFQ/ZoftX2rZmbbsDE k4HsOg/DrU1FFFFFZel6LFp9/qN7kPNf3BmJwPkGxUwD6EID9TWpRRRRRRRRRWXIR/wlMHI/48pP /Q0q1e38dgiNJDcy7zgCCB5SPc7QcDmjTdStNWsUvbGUy28hIV9pXOCQeCAeoNWqKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKK84m8LF/jnDqzCV4DZG5O9RsDqBGADn6N9a6LxQmoajN/ZixXMWl GMPeT24JlmBbHkpjkZAO4+hAHXjftQgtIRHAYE8tdsRUKYxjhcDgY6VNRRRRRRRRRRRRRRRRRRRR RRRRRRRRRRRRRRRRRSbRu3YGcYzS0UUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUU UUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUV//9l= ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image021.wmz Content-Transfer-Encoding: base64 Content-Type: image/x-wmz H4sIAAAAAAAEC5VUPWsUURQ972aT7L6NZhlNkCA4WoiCK2ERRW2sDbEwKSwsjDDix0x2ICu70yRb Bws7cQuZQtKLRSwkaGPhBzaChY2gPyASrUTXe9+8mWQHJphZZvae9+4779zzPj5/eNODedzJLqEi 4bPLSoKhFQIIh03vMH8rjAGJSCkbKer3+6bttDpk26pZ3hh1yZ10uP34yDimwLl9oMb4FUfr/H6d AM5xftXmjGF2oXV7Pgo9IDRz/6aNP9+4F3gokxL/anNRcLPpA67Wd8NNBy+ebrVf8+tO/2qfLd+a KXFinbPL/N/QT9QZyNATkdSyG9+jin5czKcgvJs7eMNR4T1pedd203mvmBeWV1m9PfXO8KZ6i3lZ b6+YN6+3p46M79Tb/cvi+TG+osS+zt8JvCX3itd2rzaDhcVCXxMfUr2xWp4Q3otR4nes3h4UPG19 cXnN5dnrPHn9P9F0hLdh5wHVteBTGX5ACU7WeaC+/L4JLv0o3jf5+uIDwvs8q2/D+FjP8Jeq9G/j C6UEJzq265fW//c5Xz/omiNHq5PVu7JfGKNIjm1Dg0I9xNF9v+UlKwFar5gMP8WfRgR3/HTER8qP mDIedvy8h3vTnt/TsfpeE4ZZqyRWat8gPl8exDeGB/EaEqyZRW4TbW4TaYO9J2oYNeilmPReER2b i5ZaXoAZuRPAI45i1QyQz/Utx5y7Ot9l6bkWL4B/khG3DRQFAAA= ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image022.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlh7AAbAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMAAADl ABgAgwAAAAAAAAkICAoICQsKCgwKCwkHCAcGBwgHBwsJCgcGBgUEBAMDAwYFBQECAwECAwT/EMhJ q704682t6WAohsJonueArmymVgPRzjRAvHUuxnofFjgA0EcEDQrFJKVQUjopx8nnSZUqA4HktPrc HrhVRDILIPu+YKcYkGimlYKE06wbuN/EgUpwx/vac0QGQWV0E1iGY4mFixIJHwpyFFgXiFyUFpYY CQommBWaEo0jnxKRmYalVKqqFgSdC5KTqaOKoLUSCyesqWUYuIeiFAyyh7RpvBwMZUi3zsjHG8CV 0aKhqLV0ZolZ2tM63bMd4aC+xm/k1uOe5uoorcLB8ZPt6VXp9hn5vtvtl/X+9LHr900fN3rdmgUj wxCZuYYcuhXjF69gDnIQpQ2s2KKVtgnE/+g9DMgCkcmDI78ta1AM4r4VJ6/Ja/hNl7WYmThaRPVL JIBTM0eCoTlPQ4FOQHUWvScso4ZXpJouBSGznDwAg0R+2lkIpjuSFx4B4KO1HymuZa9qACSCodm2 666yrecULtdtdV2omIt3KlWwEc8BthAHrju0IeqiMfkwFKVeNOEZfHzTm781ABZbcluK8sKmkidj vOZZAuZxmyuLSz0r5qKtWbYkPujyiiE3shP7w+gXnL8+4IjWyDLEcLnaY2AoBEBo3Ufkyc0kWN6D 4PAJPP5CBn3FH6EEMto+5z6HTvOLjYuc7+mWUbf30bFfAK6x8mP43eXHH+ynd3+YvaCDWA1HA/5n YFQH8pefDxEAADs= ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image023.wmz Content-Transfer-Encoding: base64 Content-Type: image/x-wmz H4sIAAAAAAAEC5VSvUvDUBC/u37EpkVDQRBxiA66WJGuLv0H6mC76dAKKSqJLbTSZssonZydrbuI 4uBQFyedncT8CUpxKhjvXtKKFYdeeC+/d3fvd+8+Xp4fz0FJX6sQpARe7aKAWA0BCJaUNcF7igQK ImSTQkhBECi0gQuRLj32y1CF+lqW9avJOVgE9g0ADD73GV3y8jSAJPunI58MFKutg7LbsAAaKvaQ vC82spxJUIgTGOVDx2qa21bb3Kk71WO4uxi0H3iZm5/tV63Wi7Nfjr1n+J/XPZzV5OqWK7kMyeQ3 iEzLhyC872NeH9dIeNf/8Ip2mneGvBi918duUhg6rrQjr/t4RDFGJ3bLCjPy8UZ1oGOHGf1UaLrI kxl5OJ8QhqI9qlwBwvNkHHYi/oyS6+zXbYBTXb8tfGT/7cTvDD18iwnvta3zLrOhq9kQHURdN4BH g+VepukJiVZKbrNlOdCTDgPfWIauuiDb3iCrupPjuoy6JDUD+AbOxHFr4gIAAA== ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image024.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhUwAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMABQBM ABAAgAAAAAAAAAKEhBOmh+sPo2wPJbmo0riD6zEO55FkGFmhCZZf1qJlPL4bjSWgLvcf/trZJhnb BeiDnA5GJurIRCZhxKa0EnVOlctiULsSgZ+460Y8dInNqbRsByU3jipRjBfkWPZ6Fb0/1JVCgxe3 tXLXU9bkdlh19uZW+OMYxtZG9zOnc7mFVzkGKloAADs= ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image025.wmz Content-Transfer-Encoding: base64 Content-Type: image/x-wmz H4sIAAAAAAAEC5VSvUvDUBC/u37EpgVDJxGH2EEcrEhxc+k/UAfbTYdWSFFIbKGVkC2jODk7OUgH N3GxIFIXJ52dhPwBDkpxKhjvXtKKFYdeeC+/d3fvd+8+Xp4fz0HJQKsTZARe76KARBMBCJaUNcV7 hgQKImSTQkhhGCq0jguxLjvxy1GdBlqe9SvpeVgE9g0BDD4PGPV4+RpAmv2zsU8OKo3uQc1rWwBt FXtE/hcbWc4kKCQJjNqhY3XMbcs1d1pO4whuL4fuAy9z49M90Zv9JPsV2XuO/yXdx1VNrm55ksuI TH6DyKx8CML7PuENcJOEd+0Pr2hneWfEi/F7A7xIC4PnSTtKeoAuJRgd210ryijAe9UBz44y+qnQ bJGnM/KxkBKGij2uXBmi83QcdiL+jKrn7LdsgFdNvyp/5P/txO8MfXxLCO+NrfMus6Gr2RAdxF03 gEeD5U6m6QmJClWv07Uc6EuHgW8sw6m6INveMK+6U+S6jLskNQP4Bu05GQHiAgAA ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image026.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhUwAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMABQBN ABEAgAAAAAAAAAKHhBOmh+sPowTtoTRV1Th7+nHO9pFUF05XiZ5pgpppJi+w3dLgsc9vzuvcVLYd BuiT1EBHXqjJTD6RxuCsCZVGVsRor8TQJJfUUdgJPpeJa6XoS1sdueFYlc646HGNOan/9vI1lKUF Znc1WAVnyCbm83fX1hioJaQHk0mZZtkyuQmxJAgKSlUAADs= ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image027.wmz Content-Transfer-Encoding: base64 Content-Type: image/x-wmz H4sIAAAAAAAEC5VSPUsDQRB9s/m+BAypRCxOCysjktYmhW0sTEqLRLigkDOBRM6zujpYWFuLZRot LCy0sVIstRHuF0gkWAU8Z/YuERWL7LLL25m3b3Zm9vnx/gx6eOm6oozAYY3AINYkQGFRexO8Z5RA QYrYpRGpIAg0WqP5yJad8nKqrrx0ge0ryTksgLkBkOfzLaMLXuU0kGR+NuLkUGn09mpuxwI6OvZY eZ/s5HEqQRFXyNf2batrblmOud22Gwe4Ph85d7zM9Q/nNdUcxJlXZDaLo2R49JKSqxuu5DJWJr9B xqx6BNEdTnV9OlGiu/pHV6yzvDPUpei9Pr1JSXDkSjtKhk9PKsbosNWzwox8uqKQEWb0XaHZIv/O yKPjhChU3EnlygjPv+MwSfHMV117t90C+obhlN8L/3biZ4YebcZF99I1eJe/Yei/ITZEXc8jpU83 kugDKbVcdbs9y8ZAOgy+sYS+viDbzqigu1PknznpktQM+AIrOsH24gIAAA== ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image028.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhWwAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMABQBU ABEAgAAAAAAAAAKShBOmh+sPo3TtoTQtVjV7+nEbE1Ij0JXftZ5pmIyvCp+gbK8ot9M+mtttYrAF sRf8TWYHZJOGifaUNYlU+JNeqUumsblVRYdcbxIE5EFFz/J0TXrXGuMOnX4Dvy78FB/JQsIydKYB lufE5VFx1KZz+HVVqDjVOBkZx6N16TZGdUQIdJdGaZWouFeKyrmo6uroUAAAOw== ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image029.wmz Content-Transfer-Encoding: base64 Content-Type: image/x-wmz H4sIAAAAAAAEC5VTO0sDQRCendvEuzNgjIIiFqeFjQ80f8CUKWJQk9ImgfMBFxWMxOuuthJLCwu1 SG9jIaiNadRKsLG0soqKCBGMM5u7JCqCLuzuN7Pz+ubm7q4v90Atz/QkGAy7ZwUDrSLogEH1GqLT QIaMUNCTQgLr9bpCE6Lf13U27SLoSc+MkX4k3AUDQLZ1gCjJ54TOaCdMgGkJ0OnbRGAmV1zOuus2 KYROR42iRenmRYYwTqm5hl60MKFQD6GkFuhuJCPWPXRw7e/ofdBFa4eLBokQza4U7A0rbZes+bVC bhVOjl5KF7StydfSm7GYauQRwPnjpoePBruOuYGcVvKU24hvESde/42Pik+VetmIq8v1cHseXd6q Po/5eb7wQCAeGbeQX3PoexjmQeIp9isP5lMV2OST1DnPYZPPgcby6A8+rP17v1p8eIzipi6Pwxqh TadoBwxrIY7pOg25IvYVY9cJPPrwu0de9WDL93gWYeQIW873b/u/WoXf+6AnZe1ecoQ5P8+S8FSl gVzW0tD+viuefZkGWE23qaabbUD9M+8YhQ4lnfL/cCUQhzPuRtEuQIpnDMCEIdhWDmyw8BLz57vV R+4FwCeDtfVQpAMAAA== ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image030.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhcAAwAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMABABq ACkAgAAAAAAAAAL/hI+py+0aYni02ovzmVv7K3HfKHbjCSElaq2Gy3ouHDMwXbcLnptpL9sBHbeh hsYDFo2YJfOnejaF0kRkk6xGrVqIxAvIDq8v8ZgY7nrJqomZxI6nc2Yemyn6tk8lPcUvd9TzBgaF VtY3NxVzB9K4xacIUkNY9qdGhbn3UMkS8qmJdYj1WWp6GmKzg8ra+kiaGSopa/hCa3urc9tJeWpF 9porHBvmJ5uau5J4DDk8E/rsTFzllDwtVU2LhLktnE19DR2ON85dy8nbjNuSji6a4Qb3PtXegLyX yOEWXHEvmm/LGCMiyuboi2RPUjyDY+LkSXFwFjyHHQAyHASrYpSDG/z6ZZyXhmO9IPpAXemIIo/J fd6gFRwGc52sAgA7 ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image031.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAAa4AAAI4AQAAAAAaWTD0AAAACXBIWXMAABcSAAAXEgFnn9JSAAAS jElEQVR4nO3dz6sr130A8JFVLBdemZQU8lKHN+kPagqF3OBFnuvnO5QusvQ/UGiDF6Yr27zFe4lv 7pERVJuSS+giKXY9gSy8LWTjYGPpVilaNER0VUJJJfmWqqXGGr2huaPo3Dn5fs8vzY8zM+dMyVuE N373ShrN554zc36fOZI91mnznrAn7Al7wn592agbe6sbu9+NXXdjxe1XzSbdGOnEsrBbaG93Y1fd WHGzZMtubAw/qTvzAsZ2ziz1YOs7szX8ZIEz+2f4oRNnhqXmhjizymbPqDubuIQWXeRfFWqFJraI 1DMCPxtbNp/IJ/y0FrZsrNgBfy2tWZhnk/xbTez7iuFpZcSWPa+OxNO6KbxlxZaVt5rY64qF8JPY suyhekYq7zUxVQtk1feamMq8BzemLh5noS2j7FPx5Lr6XmPB+TnhD1tWOb9G9kg8LB1Dk2k1YZXL 0shEhcpzY+n8LELjp7UovmPBeDosHdic/zYkWzM7xqycvywqPEw2WtpnwSL42buziWGfBSOsmi3b GU/t48WJrNjUE9uzaseyjfFghpLpJnjWxmiYZ3qzYh7+ghZ/OJB7ExuWDVjK04wq9n82jPYZ/SZe f82ubVj6gKVvYv5KnVgsGDxxYqtr9osXMY2ncxd2ec0Oz2O2vHRiI2BfwWzZd2KDhCWfg2ohc2KZ nyyvL6C0Ud+F0SCZbLB3QgMXlvrX4WYBGSoOXVg8eES2WNZiYsHmO8lWox2bYxW0YjbsSrLL2Q56 F3+4hEGfDZtLNrrEo95hrG/DxooNVlsasI+w/NiwsWCZH/vA3p1Q34a991XBaJCG8ORdAtaGvSxY GvKi+hNINhv2RwvBYsI7/xlbERt2shRsxW58ePJtSDbNGqqgNyLB1tmz45itP8Cxento2X3JRrQ/ itk0hGSzYQ8CwQa0P0vZENLPhlHCWewBu4qBZb4NAwixXHleL+2vL6FiTgNLNoF3YDvpxXNkoTVL vVsnEF7sw0gxJpYMGran/+LkTLBwyiwZYcOA9jKvHwfALm0ZyzxsNuIB5MYpGVmyG5b2sZBRH1iS DSzZgUHkMLX6wA74xIrBFcG6EdrgVcAOaWDN3hKV+fCpgO0hRFsGp4NHv+MjI7YMT0ezFWNW5U2Q lWJv5VljaBgvKGfsu31ob0bWDOM1RPZnY7YfWDPMTh6c33QKHRO/7dz0kBDqV4psFvd5+lkyaArp CbBR3GO8im2I5Gx+A7mQP4XfKbIBMKgkG0PbLG/Yng/mcTIshqKW+Y88fnkaWXTDEtG0QQBryM00 AHbZwpIwZVecpcAu0wBOK/HkPOislj0iKdkIBj9jYEMCrN/GIBTR/sZ4VYB5UeKdt7EYQhFsjZk5 DbIesLPfbDm3HYS22Mg/DU1iQDG0hy+0hJZAaILBn05DyV7/eoFVk5sz3iKOsQykQepFjzzv6y2R TDCSfP4nwjKQBvEgik96+5ZIbiC0TYTPArwqabDyo/huv8iqkdzAtcQizdkMzm4aRPG9wb4lksBI ki3ELN8AMuY0jNKzQVsksQpZffqyyMmQj8MhO7Km8gbszl/ynAwBZmEP2MMSM1UKUGFhSMCwx3va BxZbRZIzKADwLzsdsCi2ZYQXAMjM2b2ALdfT0cGG8QeRme/Cq/VIHt/CsBba8aOyuxDw5aDETJdE JDYGBbky+xo8HQ7W7aFJJvZnf47Mt2GBfJLB4DLDzqgXujDqeb977nO2s2RqyPt0iKGS1JLpMTPB UJkF4/MbSuGfSHtq8qKV4TaK+YAbuyfMgY3j2wQfYzfmx+Jx+lkXpifxp/qOVivLwgs+neDMAmxx +DbUb7Wz0zBWkT3eqHBh1IHRe+GlfK0nICzYzSlRx+isbcP+VA97hw5sf4+o+SnMzbbscEtNK9Jn jm+1sy/ol7ePc94OLH7DgSWara5c2PvqZX/uwBj7rx+IVwPfiSXi/mMcBm7sO/xheh66sYi/8KD8 uLD9En+ng5Q5sb/nbBis3RifpYUq78qN8XlQj0+tOLAZzllTb8DyN9LaGdQE0zvYBPhOTDQBfvFm dXsVpGZ2sX9uz+htUL1t8SZwO0u/+WPPwyprl7/L1MpiQkXjts5cGLbxvMqa5U+uleEBvMmJqEtW 1ms7AlMJONQxVYFnOOFhHZpuErPwP3NMrRyoC02zlHziEFoargnDUWPMpobQ6lgMwy/47UNCvOPE sMFY+RCtDx3YJb91sBpAl/LM4dxGgvXZRWZidVdyrEILs7NvvGbLMl8wH/smm+dsI0kDPgcRD7Bv sgn5UdCrbGUhmwbYtcNCei3ZXdIWSciHcF5QcWFnNwn57pu0NZIrKNUjvI/8Crz+O8HkwKCJYQUO vZnsDAvCgoj9V60MQkpwgHM+YMfKfd6aAHB0kuIICetWNX9y0crg6AQHb+eD3P6gjeEMTpLlboDx swvbiinO4CQsx+A1b4FaGEM2LDKs+JojueJsWowk3ktrZmv1VPYNeTLFV22RVH+ULyDSbNDGxuqp n2O4NVcKqgFVTWKJxYGRHetWYmSrgZHp4YYaQOh7+IJFiZHp4YYaCZTYZG+8JOpozUqRrGFrdejH xMguEiObqUP/xsymAxPLxurQbxHjua18IxtIlt0hud191pJLfMnoaZ55vWaWPv0Hw9+AbP/iM+cF 5v2JYsYrGVfubutBuGTxfVNo+rBViY0kO5hC+0Qd1SssOsJ76k3n9mMiL8muyPrNl+TDCuNHYbI0 lbezCuNHLZsZpYrFlfLWUAXd6C6dLgmlPDnsGdhBM70M0YYlrWxpSretYBNgaolHqQQYL8lCsDAX mg2LBINfOzXyrjBDJAlnOFSpD63KMsH45N/EnlFWTTcLthfsmtUnt4klguFN+Pyq0za2YdXktmBb wSaOLBIMf9asvNWzsFskSSdGWSe2L7Iod1QTOxRZYMmuBVviezu1zKydLQTDyCU71VVoZ0vBMJ7b HbuxZaG4f4BsuWN7W0Y44x3WaMcOlozPP4RiPjjcqTn+VobBQGifh4c1sJUlO3DGZySHkG4LS3Z9 ZB6wpSXbCtbnI6EdiyzZkrNYsY9OEys2QRZqJie7WBsjgg2QYVY+LGwYX+oozo3x0PZW7EayHpN3 Km6s2EGwDHf8YwDsk20b2yxkvx8y1wnB2TurSgHvDMoVROI2dd+OTeQsCbIAHnuxDbuCiPXEuYlx w8qqxfmYp5VkGNv4DRu24zdsRCT5VFD6ZUuW9hTDSf34tykEej1vZbG6JPmu6KCZrdXMvxv7H3Xn ja99tGY/ZThbJBmT0W6/JO/z1SvO7J5MbTdG7xE5A+cWGlNDUVcmVnU4MzlKdGasyCz7XLIfUu2q 6c3IrlRoV7QYyWY2VyzZu7ClDm3nwiaarV0Y00zOHTiymWZigahNzxzYT4/syoW9p9nGhb3Kn+zU ulI3FqsFopbs/W0n9sOFYmKBqCV7UbPfXziw8OJNyX6P38XZ2zHG/jgU7GuRE/vhRLBXHBnJM8tz Y+yuODe5rtSavSMYvIjyb7Wwm58pVvwsR1toh25soxlxYez/yQ5h/i1rVtweC7NO7qkvmLiNaZsn qdcnnPlObMhnrl1Z5oWxFxyZ5bmlHvzr8SrIifHbI6EzIwznPDWzLt0MJ0U7Md5X7sCmsTpOMzU5 0cRWJxVmE1r6GXWcdZ5Uu68K71hFEruXXdiqMkFjxeKOjHRjoVyTqze7SiEoM7vQfMnc0g3G0WK9 sVMuYfGsG1t3Y3E3lsp5FkdGiWCOVxJYUAjNLt2ysBsLSswuksB8q9CSAmOB6Jy3smmR+ZYMby/l 2DixYtmpkemtjp2HBTazY7Qjy4psbVfhUez05NjOjqUdGS2yeGPJWJGJ4UdbutF9kaV2LEu6sUEn xsJtp9B6VwVGX7Zj/U2OpepzIe2VQtLIaiuFEgssQ/ugG2MFlpWYVc2VqrsPjvVkJTTF3mwOre7c PjCx86CN/a+J3etdSJbWsPK9xZXn9eQqQRem15QUGB2SlZ/99ZHt6pifZ596odeHPje+e8t7xvNw aVmeqenMwUWeRepttXDnk1JoPEr3PD97mTPRvB2/okCtIPkPYmCn4rN5wD4WjKi3Avk4MYUG7Ucq QvsnfpxeHU8VIyYGcdqJcxsVmVpBIofHVZaMORtzdlNmN3VsJJjPme6WqG7ioY4NOMsCzvQ3G8wK x9WzO5zpOxAj+bipYdQX7Ash7tD3O1RqL2pYHHCGs7+5TS/8mdSwVSjYmZmxGjYlnKVFJj6od5zV qGV6hRDfyqP+CvP42aexmankLzPa4wts0l1hQS9TnzNQyV8Z0vYF23Cmk02t19rWMV+wMa9EdLIV vnCogYkOXiT3Z35R1TLRnQz1/hYGdYFgWLHp2SDNSA1bhYLx9Za6kMbycD2HVZkgFiucUt4w6dJW WRFQZmPxgZOYlxDdN2xjpz50GZj6agLd7RqVlKnCQzYtplT5+leq11Awr3ikerGsYXcFy7xCAutK clLDThg/kfR2YSG8Km3HOrrEvsh4tl09LOSLSrKVWV+waaoDwK00lq6ygWBvpXxprtp9ycqbkWV9 znRpU3XrdR0LOEsHKdYCkdqtKsnj7V5Dv2QOdWWK5WYi95ZrOzMbQx5JL3PFply3Vpj83Lgn74fm /xhuod5VZHyIPsevf/EMbVtuxtjEUsF0aStXkhWGq7DZfBhAbyO3dyofD8ddBZbdQvajHisyVdpy 3/5jYFPIYav8JRmzyqYY/8Y2igt/M+9zuCozd0ylkB7ZRcTZnVfZmVg7kItDIJ9MDAz3pdAtzDyx LuJ4SKVuLbM4lTeQaf6UVWkzsfeQzegJhAd1Vny7Odk0ey7kLIRcBWz60FBJHgzsFYzJmPbF96J4 +UaxWkiP7D4yn34ZCtkchoCpoUk0sdcZXmlZ3miQD82QbIplyKDllgynl5fyiEqTmGf451OiGI5x JvKISttWZrGqFPjQSB1V7GkUGcVEWeWZrhJMqV1gM2hxKFGhqa26SI7lCs7P8UrT0zNWZjODOrIE q0N6+pKZbeoZXGl6r8p4av9rHTtglUxfeqHMRLJ9WMf22IrRl54tM9EkfhTWfI/hz/BK0xfeVt/a SRQL8XcUFFI7XwVBuaJvvl0OTaR2tCzejcuxS2T/ItmxA8R/Lxa1X38Ih9P7c8lKg8tNcUlSnsE5 0QfzciRFaiebWuYj25SZKKTleagj47NqD7aSLdVeUdqKNwzzDPsG9FX2UYkFUk/qGPxByP/vvjZn uUImko2w2kvCZ0MJW5DCuXEP8f+0js2MTIzOg9K3VpZZyC74p31L7KL5a/SAvUZ03HATkzKbX7Qx kWV1aHOJ63OJYOIk/luFdpGLajv7rmKB2F/+wr8i051P3RUROwofszSGJraH8jh5fHZuxfSnSYqj uLZI7hVT1+LAipuJbdkhPRM71Fxa8/cYikgu2XUqvn1EV8mlZKuJ5DZ9IJ6UR4lNjMCleE3sCOwZ Vm3ykhQGES0M80kqglHJXPlWVAPDiy1HD6U5mUaWO77y0aE2Jh6MLWkN2x6ZsSWtMpknt4qZOkD1 bKmY6slMLCKJR4lLovutxIoRyUz91nqWqUuiUrv8ZaMt6aZKW7mWNLMDy0Q4tclmYPwLh0Uk60qb iUUYnoikSrbSd8Qa2QQerwWrDO4bGIKtYIHcTdoZLkLaLTlTyVZugU3stxiO/jhTpa2abBUG4/wD G0om91YKqZExxYrT5I0s7UMqeYJdVQ+vZT243J5YZqK+sqOabCYWMU9874lKtsgqkgRC43kykHsn NgyKjcc/PaSLA2lntH+jrmRt3WpgLDioTw/VNYlGFjEscBiaKqSGr442s4QzlWzloUMDw0jODYdb hKaaxKUbq61bG1ltk2hk/8DkuVV6Po3sbcWakq2B1fVkzOw7iqlCakrthktSX7ea2EKF1pRsVbZU oTUlW30k65tEIwsUC+Uuk6rPyg11ayOTu4zJVs+aCmkDU4XUmGz1TBXSpQtLiUrtiRWLVGiB3BVa sVCyc3m4OdnK7FSdm7pFZWjbDOyuYg/lHnOyldnzir1hPLqO6QR4Re4xJ1uZBbLg0K/KPUvL0PC4 g1rcwA4TJ5YGYsee2DDq/c5Tn+lNvaGae7Ubv9Hqh89tGPuid+u5H/yV96WnvufEZL/w+JJ0Y1E3 ZpXcTH4A1Hzsr4gZunRtLOoW2uNly8caGrIOV3LZPbTHmEuyweNk8F+nS9KJLaFF6xQa6ZTcWbcE gO5WpwQIu12S97qx7WOuuR4f+/du7N+QEWe26BbakplmY1rZ337lJ95nTUc2s2/1f1T435pZsiXr fG4fPLbQ7LYn7Al7wn5d2S8BbiSsN1X7oeEAAAAASUVORK5CYIJ= ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image032.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/wAALCAFrARMBAREA/8QAHwAAAQUBAQEB AQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1Fh ByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZ WmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXG x8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/9oACAEBAAA/APf6KKKKKKKKKKKKKKKK KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKoatrWmaFZi71W+gs7csEEkz7RuPQfpVu3 uIbu2iuLeVJYZVDxyI2VZSMgg9xUlFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFZ1xr+j2mqLplxqdp DfNH5ogkmVXKeuCfaq2sLdXcds9nZ2eo2LB1uYnYbpEZSMIT8vJ65IyO9atuNttEPJEOEH7oYwnH 3eOOOlMgv7O5uri1guoZZ7YgTxo4LREjIDAdMj1qxRRRRRRRRRRRRRRRRRRRRRRRWDceLdMtPFEm gXDmO6WxN8GJG0xgkNk9iMZ57fStHSb9tU0i0v2tntvtEQlEUjKzKDyMlSR0x0NXaKKKzdRnhunb R1efzp4/3hgZkaJDkbt4+6eDjuSPYkZ1v4B8KwWyQvoNhdFRzLd26zSOc5yzsCSeauJ4U8PRoEj0 TT0QcBVtkAH0AFYWr+GdA1q5bQ4NLSLaEmubi3jCKi7h+73jB3EZOB0A56jPUaZpOn6NaC102zht YRyViXG44xknqTwOTzVyiiiiiiiiiiiiiiiiiiiiiiiuB1jwLda8Jr1p/smovqZl8xsNm12eQ0Y6 gbocn/ebJwenUafrlld6ncaVaRSiSyzHNhMJERt2qT6lWDAemfQitaiiqF5qBSdLO0CS3rkEpniJ M8u/oMdB3PHqQaTpMGk27rGzSzzN5lxcPjfM+ACzY+gGBwAABV+qc05mnNnAckgiaRHAaDK8Hofm ORgH61LaWkFlAIbeNUUcnAA3Huxx1J7mp6KKKKKKKKKKKKKKKKKKKKKKKKqWWqWGpNcrY3kFw1tK YZxE4by5B1U46GoNI0S10ZbowNLLNdzGe4nmbdJI2ABk4HAUBQMdAPc1dubiG0tZbm4kWOCFDJI7 dFUDJJ/CuFHxq+H56a6Sfa0mP/slVtR+Nfg+OzJ0/U2luGZUBeyn2Rgnl2+UHAHYcmnWvxa+HtmZ XXWG86dt80psp90jY6n5OmOAOw4qc/Gr4fg4OukH3tJh/wCyVn6p8afBtxGLSx8RNbPJy139ilYR qCMgAgHcRwDggdT0wdbSfiL8PbWxSGz8RWMcf3z5rlWYtyS24ZLE5JzzXSp4l0F0V11rTirDIP2p On50v/CR6H/0GdO/8Ck/xo/4SPQ/+gzp3/gUn+NH/CR6H/0GdO/8Ck/xqtqHi/QNOsJruTVbSRIh uZYZ0ZsdyBnnHX8K0dO1Ox1eyS8067hurZ/uywuGU/iKt0UUUUUUUUUUUUUUUUUUV5Z8Hf8AkI+O f+w9N/M16hLLHBE8srrHGilndzgKB1JPYV5HJrMnxi8Rz6Jpd2sHhLTnVr91fEt+c8IB1EZx1/rg DqfA8Xh/S430rTrGO2uo7q8iRNmX8pJmG7dydn3QCTyaoePbq5TWbfUNPluQfDca395FCOJYpHCs p5GcRpK2PYZ611vhqNjosdzKqiS8d7shWJAEjFlHPopUfhUWr21tql+LBbC2luFRXkuJ4FcQxlsE DvvIDY7cZPTBoeJpvCngvQJdX1DTbFI4ABGogTzJX/hVcjljj9Ce1eKeLPDmpeIPDV7491ixj0iO J4F0vT4IVTMTzKC8vckhs9vXgcV9KeTH/wA80/75FHkxf880/wC+RR5MX/PNP++RR5MX/PNP++RS NFGFJEaggelZnhWCG38KaUkMSRqbSJyEGBkqCT+JrXoooooooooooooorD8X3zWPhq6ET7bm622d tgqCZZSEXG7gnLZ/CvNNIgvtTg8I+EZ5migsrmU3sc2f9NW3ZtxHPzR79gBOMkk4O2vZ6KK8o+Ed xBb3vjuSaaOONdcnYs7gAAE5OfSm3lxf/F3V5dM0+WS08E2ku27vIzhtRcH7iH+57/j6CsTVp9Bf WYta+F+oW413Srd7ebTo4DsuLeMfNwQMkcYIPzHHOa7zw1q/hq18BXXiexuGitrkvc314bcmXzic OzooPIPYZAx6c1o6JbWGnaLc6/f6pHfLe26Tz6jPAkPmQBcpuVQBgBj1GecVyn/CQ6f4xv5n8NXk t5bR2Elt9nsZJYWiLFVikIJUKQS46fd5zxiuv1fxBaeCfCX9pa9cqWjQBygP76YjO1Rz1IP864jw t4Y1Xx3raeMvGaSJZBvM0rRZGykS/wALuOAT9Rk9TxgVufGf/kl+o/8AXa2/9HpXfUUUUj/cb6Vl +GGL+FNIYoyH7HF8rYz9welatFFFFFFFFFFFFFFRzW8Nxs86GOTy3DpvUHaw6EZ6H3rP17Tjf6Pf paxIL+a0kt4ZuFZCykDDdQATnj0rPW503wD4OSfWL8LFboDPcOWJllPXaCSSSegrkJNV+I3jnZL4 et4vDOjOTsu75Q1xMuRhgmDtyM49QevSrCfCCxMXn634o1+/mBL3Er3pjSRcDgjnAAHrnk8+nlPh T4aWXjbxRrdtYmCPw7Z6i5GoQMxkdOdsMeSQV6HcQeg5OcV6lL8IJNMgki8I+K9V0SGSFke3LmaN 2IPzckbTz1HPcYNeX+BtKX4Z/Eu6uPFF3c28NhiBrq1iaS2d5U3Ksj4yPlIYDHUe3Or4TsW1z4lz 6Zf/AGyPwlqVzcarp1k8RWC82k7Tg9E2tux0OFyOle0eMvCw8U+DLzw9Bc/YFmRFR0TIQKwIG0Ec fLjHpXlvw80ax+FGi674m1jWknjErWDQW8Zx5scjLjnkk4GOOATmt7w54b1Lx9rcPjHxhbmKxjO7 SdHfoi5JWSQdzzxn+WBXq1cD8Z/+SX6j/wBdrb/0eld9RRRTX+430rM8Msr+FdIZGDL9jh5ByPuC tWiiiiiiiiiuUuvGMtrr9/oh04PfRmH7DEkpJulkDfOfl+RV2NknP3fcZv8AijxBF4Z8Pf2neyxw KssKSMVLqu6RVboM9Ceauaxrdjoeh3OsX0uyzt4vNZgMkjsAO5PAA9TWNa+LLlfEOlaNqumC0uNV tpJ7cJN5hj2AFkk+UYOD2yMg11NFUNa1my8P6NdarqMvl2tshd26k+wHck8AVxPh3wnJ4l1mPxt4 pQyXEmH0zT2OY7OHqm5ccyckk9ify9EJCgkkADkk15Xrl/qvxOuL3RvDdzJbeHLdHjvNRjGDeSAf 6qFuhXONx7/TryX7N0uorfa/Zl0FhCqNJHgbvOJIBz1xhG7+le3a34j0bw3bJcazqNvZRSMVQytj cQM4A6mvLNG0dPit4j1PV7yF7bwq08Uq2TSYlvJkQIsrgcqmzHy9+D6mvMvEOp+IfAmv2D2V/JLp umajdRaYJ23uqRuI3iZuDsIC/L054wa+k5/GWk2PgqDxTfTrBZS2yTgbgxJZchBjq2eMD0rzb4fe FD44vj4z12IrpbXk9zpmlO29Ed3y8jnA3fNnA9vTivaqK4D40sF+Fmpsegltyf8Av+ld3BMlxbxz xEmORQ6kjGQRkcGpKKKQjIIrnPh/dNeeANDnbOWtVHIA6cdgB2rpKKKKKKKKKKwLLQHj8a6p4guV t2aa3htbQqMukS5Zs5HBLsehxhVrj/jzqH2D4eRgx71n1CBG55ABL8ev3MfjXQeIom8VfDPz9Ptp JZLi2gvbW3ZVJdlKSojDIGCVAPPTNY6apd2IuvG/ijTLm3lsrVII7MRri2V5FEhVtxLseDngYUDq TXe6bcz3umwXNzaNaTSLuaBnDFPQEj2q1XneoiLxv8Sk0h0SfR/DqrcXSlvlku35jUjowVQcj1bm vRK8y8RX198RtWn8K+H7mS30W2fbq+qxNw/rbx8cn1IOB39D3+j6PYaBpVvpmmWyW9pAu1EX9ST3 J6k968j+Ftha+AZPHl7qd+pgsbpI5pFTAwoLZA65O/GPaubsvDOv/G/xWfEOrhrDw7C3lQKRtZog SdsY7k55Y8c8ZxgereBdKg0PX/FGmWiyC2tpbSOHzWLMVFsmOT17j8Mdq8l1vQbHW9d8bza9qgXQ tGkneyngAwLqdxIVH98jG0r/ACp3wY0s+N73y/Ed3Nc2vh1IjYae+BGCxJ3MuPmxtHX1617J4Bj8 ux1tdhRf7cvtoxgY804x7V1lFeffG3/klOq5OB5lvz6fvkrt9N2nS7TY4kXyEw4zhhtHPNWqKKD0 Ncz8PGVvh7oZXZj7Kv3CCP0A/lXTUUUUUUUUUUV5R8e9C1TWfB9q9lJGLWzuBLco743ZwiEcckFj +dd74Rsb/S/COk6fqfk/bLW2SCTyTlflG0YP0ArXlhjmCiRQwDBgD6isXxLqmvaZFbtoXh4ay7sR Kn2xLfywMYOWHOa57/hK/iD/ANE2H/g7h/wrM0a78XeH0ul034X+X9ruGuZ2fXonaSRurEsM/hXO 6v428f8Aj/TNS0Xwx4ZNi9vKbe9ukv0fHYoj/KufUqTx6Zrl/A/xE8e6DoD6fp/hVdQsLM7VaOzd fLOcEEpwxJIJ6nnJr1LTfFnxLvEs5JfAFskUqguz6ksZGeh2nLLjjIIJ4NMsfhxcatrWo3niTyl0 y5vmvBpcTbhM5VQpmbjIXBwo45yfSvSo40ijSONFSNAFVVGAoHQAelef/Ff4gW/gzw9LBayq2t3q GK3jRhviyD+8I6gDt6n8a81+DXw8uteC6z4gllfTLO7aW2sXc/Pcgrud1P8AugYPJ+g59WfwreWP xZt/EunRqbK9sXttRAYIEZNvltjqxOMY7bc57V2wAHQYoorzz44f8kl1j/eg/wDRyV2ehf8AIvab /wBesX/oArQooorlfhtI0vw40F3OWNqOcAdz6V1VFFFFFFFFFFcl8Tv+Seap9Yf/AEcldbRVXU76 PTNKu7+XGy2heUgkDO0E45rxqxu9UuPCcnhlb24S8ufEzadd3CuRtViZJEVs5xsVuh9B3yPQ/Gek 63qOi2mg+HplsYLlxBdXeTut7cLzs5zuOAv49utbmiaLY+HtHttL06BYbW3QKqgdfUn1JPJNaFFF cF4w+JcOh3U+l6LZjVdVgjMtyBIEgs0GctNJ0Xp93g8j1GeX8AeAtS8R6pB478cy/ar6VVks7R02 iFQdyMRxjHUL75PNeq6RNpc0d2dKEOxbuVLjyk2/vw37zPHLbup71oUUUV558cP+SS6x/vQf+jkr s9C/5F7Tf+vWL/0AVoUUUVyfwy/5JroP/XqP5musoooooooooorkvid/yTzVPrD/AOjkrraKjuLe C7t3t7mGOaGQbXjkUMrD0IPBrkZ/Gfgo67c6Yt/pQ1ezLzf6SBGiSj5T+8IwG6A4JOPpWHY3Omrq yQXXjC1NjbyTSbl1NQs0burxRkl8loypGRgbSBzk46af4keDLe5NvL4l00SAgECcEc+44qO/+Jng vTmkSfxFYtJGMlIX81jxwAFzk+wrmv8AhccupHb4b8F67qmfuyPF5UZx1+b5ulR3Wi+MvEGnXN14 48QweH9EjXzJLXTG2sU6kSSnpgcYGc/zm8JeE7PW2j1BtLTTfDUEzSafpmwq10wIAuLjPLH5QVVs 46nPFen1z3hHTLvS7fVkvIhG1xq13cx4YHdG8hKnjpkdq6GiiivPPjh/ySXWP96D/wBHJXZ6F/yL 2m/9esX/AKAK0KKKK5P4Zf8AJNdB/wCvUfzNdZRRRRRRRRRRXJfE7/knmqfWH/0cldbRXnvizxLq utau/g7wdIq6hjGo6lglNPQgkDIH32wQPT9RUj0v4U6TPa+EbkaXc36S4EdwvmzPK/HzuB985HBO RxxwKs33wQ8CX1yZzpckGVVdkEzIowAOg78cnueawL39nXwu0wntdSv7dVkDtHKyyJs7r0BH1JNd Z4Z1L4dTapFovhz+ynvLNWaNLeDJQDqRJjB69c812F7e22nWU15eTxwW0CF5JZDhVUdSTXCafHL8 Rr1dY1COe38MWkqTabbP8v24rkmWZGGdgO3aOOhJzxUei+ML/Xfi0bFPMi0VdIkntoypHnnzlUTH IGQQDtxkYOepIHo1YfhnWbjWoNSe4SNDa6lc2ieWCMpG5VScnrjrW5RRRXB/Ga1ku/hRraRjlFjk P0WRWP6Cus0L/kXtN/69Yv8A0AVoUUUVy3w3Ea/DvRBC5eIW+EYjBI3HBrqaKKKKKKKKKK5L4nf8 k81T6w/+jkrra898WeK9S1TWm8G+DiG1Ygfbr8jMenxnBycjDMQTgA//AFul8J+E9N8H6Mmn6ehZ id89xJzJO/dmP9O1eMeN/hPe3XxUFxoV5E019HNqvlXJK7XjdMqCOzM649OfSvWvDHje21t59P1K 3Ok67af8fWnzvkqOMOrdGQ5GCK37mWyurWa3kuYtkqFGxIM4Iwa+ePD/AIBvPBvjbV9Y0q5sdUj0 CQFbaeYwvOjxh/lYfKGCt34JHSvQdK1W2+LF0L6aZYfCdoyr/Z1xs33lwBktJ1xGu4YXPJGfavQL 6LTNR02bT7iaP7NNH5brHNsO30BUgj8KwfE2nxtNJrOhrGdfa1+wxXC3KqIot2/kMduNwAJALAHI zjFS+FZLoi9vNR1KQwy3DmygmlHywHBUsCNwbO7r2x+Gh4c0uLSYtQjjvEuftV/PeEqANnmuW29T 06Z71tUVzvi/VJ9G02O+XUorG3jfEn+jGeWdjwsUS5HzE9Ov07iXwk3iGTRFm8Sm3W+lcusMKbfJ jONqtyQW9ccc47Zrmvjfn/hUusbc9Yen/XVK7LQv+Re03/r1i/8AQBWhRRRXO+BElj8FaYk6COZU YOg2/K29sj5cDr6cV0VFFFFFFFFFFcj8Tv8AknmqfWH/ANHJVTxX4mv73Uz4R8JsG1qRQbq86x6d Gf429XP8K/jW74U8Kab4P0SLTdOjzj5prhgPMnfu7nuf5Ditys+TT7F/EFvqLkf2hFbSQxjf/wAs 2ZC3y9+VXn/GsjxX8P8Aw540aCTWrEyTQZCSxuUfaf4SR1Hsa5pvgP4CVSzWV0ABkk3b8frXGeHf hZ4P8Y6/NeaTDLF4csHMLFp3Ml7IVzuGTlEXIwf4ue1dn/wobwH/AM+N3/4Fv/jR/wAKG8B/8+N3 /wCBb/40f8KG8B/8+N3/AOBb/wCNH/ChvAf/AD43f/gW/wDjT/hd4H0Xw5c61fWMZ+0rfXFkricu ohWT5Vx03DAB75BHrXpNFcvrfha/1XxHaatFrZgWziYW1q9sJI45WBBl+8Mtg4Gcgc+tb9hbS2lj DBNdS3cqLh55QAznuSAAB9BXL/FaIS/C/wAQAs64tS2UYqTgg4+nqO9dDoX/ACL2m/8AXrF/6AK0 KKxtb1ybTpoLOwsPt+o3CNJFbmdYQyqVDHc3cbhwAT/OodH8RT3mpNpWqaY+m6mIPtIhEyzI0e7b kOvQ5xwQOvGcHB4Kkmm8I2EtzD5E7h2kiznYxdsrnvg8Vv0UUUUUUUUUV558VNZuf+ED1tdIaJvs 0f8ApNwyB0Qh1BjXn/Wc5zg7dvOCRXL+E/DfxS8M6OYdNTw5I11K9zPc3MsjyzM4GCxxyRW9OfjN I4MSeFolCgFd0jZPc8imMPjSQoB8LAgYJ/ecnPXp/nFYM8fxa/4TiwZz4e/tIafOImAfyxF5kW8H j72dmPbNdHbP8ZImYzxeFpwRwC8i4OfaufvT448S+L7fwX4nvdHtYJLZtRaC1DlLtA21YWOQ2Mgk gEcA1r+HLbxrbeJvEsVlH4ciZJbZJFMc6xgC3QKIwOwXA+ua6fHxE/v+F/8Avm4/xox8RP7/AIX/ AO+bj/GjHxE/v+F/++bj/GjHxE/v+F/++bj/ABrO0mXxhMl4dLfwltW7lS48uK4UeeDiTPqc9T61 o4+In9/wv/3zcf40Y+In9/wv/wB83H+NeQaTH8d3a5e1e7C+YVIvTD2J+6JO3uK7vSR8Zo7SKO9/ 4R2R227pZi3mIMgnITCk4yOPzrV+IEmop8JvEP8AbH2JJ/srKGtmbY2SMcMMg57ZNdZoX/Ivab/1 6xf+gCtCisrXdH0PWreK31y0tLmJG3xrcAfKemQfxrO0bQrXRdU2eHhpVppTpuuLeGEmWSTPDbw3 AA4wQepqz4Nl87wpZS8/P5jcoU6u38J5H0PIrdooooooooorA1LUbrUNSk0PSGeKVFzeXwUEWoIy qrnhpDxgdFByewOF8ULOCw+D+t2tsmyGO3AUFiT99epPJPua7PT/APkGWv8A1xT+QqzUNzcpbICQ zuxwqIMsxz2H48nsKi06C7ht2+23PnzySM5wAFjB6IvAyAOMnk9at15xqBm/4X3bLbxhpm8NuqyM ARCfP++RnJ9MDrnHAyR6JEhjiRC7OVUAs3U+5p9FFFY3h6wNgNUH2ZoEm1GadAf4t2CW6nq24/jW zRRRXI/FH/kmHiL/AK82/pW9oX/Ivab/ANesX/oArQorL1fw3omvvA+r6VaXxt93lfaIg4TdjOAf XA/Ko9L8KeH9EvWvNK0axsbho/KaS3hWMlcg449wPyqPwgjReF7SNpXlZTIpkfG5yJG5OOMmtyii iiiiiisbUry7u7ptJ0tmin2Bp7wKCtsD0wCMM5AOB2yCeMA39O0610qySzs4/LhTJxnJYk5LEnkk nJJNcp8XP+SVeIP+uC/+hrXV6Y6yaTZujBkaBCrA5BG0c1DqmsWulW++VvMldxFFBGQXlkIJCKPU gE/QE9qswK0kUE9zBHHdeX8wU79hONyhsDIyPbOKnrKvNbhivINPszHdahOC6QCTG2NSA7sQDgDI +pwPpyjoq/tAxFVALeGmLEDqftAHNdX4h1+y8N6Q+oX0qIgZY4w7hN7scKuTwPc9gCe1QeDtSu9Z 8H6Vql+0TXN5brO/lJtUbuQACT0BAz3xmtyiis7Sr2a8fUBLtxBdtCm0Y+UKp59+TWjRRRXI/FH/ AJJh4i/682/pW9oX/Ivab/16xf8AoArQooorG8Lf8i7b/wC/L/6MatmiiiiqmpalZ6Rp8t/fziC1 ixvkIJAyQB056kU6G/tri+ubOKTdPbbfOUKcJuGQM4xnHOM5wR6irNYP/CRWuq6neaLot5FLfWhC 3jryLUH9GbggDsQc9MHXtLSGytxDCDtySWY5ZmPVie5PrU9cV8XP+SVeIP8Argv/AKGtb2mvPf8A g+0e1uovtE9ghiuFjOzc0Yw4U84yc4NfPPgyw1z4ZeO49W8Y213b6XJKbOS7JEkbSFcqxJySoH8Q 54I9RX03FLHNEksTrJG6hldTkMD0IPcVzHxE0rWta8D6hYaBcNDqEgXZtfYXXI3Lu7ZGa8m+E16f htr+oeHvGCy6dPfOv2SWZR5LkEqdr+jEjnpx2NehTMq/tAWwZgC3hpgoJ6n7RnA/AH8q6y/0Gz1K +W7ulMskcDwxLIquke4glwrAjdwBk9hjuc4H2TXvD2mppPh+3+0WtjaRR2huNoL7GCurnPUocqQA MhgR0rsIlZIkR5GkZVALsACx9Tjj8qfRVazsYrJrkxsxNxMZn3HoxAHHtxVmiiiuR+KP/JMPEX/X m39K3tC/5F7Tf+vWL/0AVoUUUVjeFv8AkXbf/fl/9GNWzRRRRXMeNYxq+jXHhmKB5LrVIHjV2hZo ohgnezDgEEfKCfvYqbwMzt4K0kzwTw3Qt0W5W4QrIZgMOWzycsCc981g/FDxneeHtMt9J0FHn8R6 o3lWcUce8qP4n9MjPGfXPQGsf4Y/CU+GrmLxHrd5cTa9KGd41lOyMuDkN/fbnknjPrjNer0VxXxc /wCSVeIP+uA/9DWtzwjNJceC9CmmcvLJp9uzu3ViY1JNad1awXtrLbXMSSwSqUdHGQwIwR+VeeWH gzxp4YWXTvDPiKwGih91rBqMDyyQAjlQwPTOauf2d8Uf+g/4d/8AAKT/ABrJ8R+C/iB4p0WfStT1 rw89vNjJWxfcuDnKkk4PvXLaV4a8b6N8S7DSk17TLnUrXQWMF1dW7SBYPOxs9dwJ4P8Ad4rtRofx WF0Jj4t0YoCT5P2H5DkdOmePrVr+zvij/wBB/wAO/wDgFJ/jTTpnxSLqR4i8PgDOVFi+D9ea6fw1 aa5Z6QIvEOow39/5jMZoYvLXaTwoGB0rYrH0Eky6vz/zEJP/AEFK2KKKK5H4o/8AJMPEX/Xm39K3 tC/5F7Tf+vWL/wBAFaFFFFY3hb/kXbf/AH5f/RjVs0UUUUU2TeI2MYUyYO0McAntmuf8OeEoNFuL rUrqb7frV4265vpEAY4GAiD+FAOAPzzXRUUVxXxc/wCSVeIP+uA/9DWiPUb6w+EGnXWlxBtRbS7Z LSNFGPOdFVBg8YyR1qtb+Mb/AFbUfCGn6XJFKNRtvtuoXQX7kaIhKhcfKWZ1GT0z7g131FFecX0i J+0PpassxL+H3VTGcAHzWOX9VwD+O2vR6wIvGOjS2Gt3xneO20WeSC8eRCNrxgFsevUYx1rXsbtb +xgu1iliWZA4SZdrqD6jsfarFFUtOezd737Im0rcsJ+MZkwMn8sVdooorkfij/yTDxF/15t/St7Q v+Re03/r1i/9AFaFFFFY3hb/AJF23/35f/RjVs0UUUUUUUUUVxXxc/5JV4g/64D/ANDWrfhrThf+ C/CTtcSIltZW8pjUDEp8jaA2R2LbhjuBUcfhaDwvayXGieZ5lvp5tLC1KCRVbls84JZ2C5JYD5R0 xUnh7W9b1XW7uK4tYU06JIpFm2MrEvGCY+vDqwbcCMgFfWuqory/WCR+0d4e566NJn85a9MuGkW2 laFC8oQlFGMk44HPH5149H8NNdXTdS0mdUm0zUL+ymaPcgYHCfaZm6AnKnAGeTnFer6dqVtfGaK1 SQLbOYmLRlQGUlSoz6Y/Ij1q9RWTotneWlzq7XWzyp70y24XqEKIOffcG/DFa1FFFcj8Uf8AkmHi L/rzb+lb2hf8i9pv/XrF/wCgCtCiiisbwt/yLtv/AL8v/oxq2aKKKKKKKKKK4r4uf8kq8Qf9cB/6 GtbHgwhfAfh9j0GmW5P/AH6WuQl+MdvezSxeGfDOt67s6TQQFImAODhiCf0q0ut/EWzha4bwZpbQ LmV4La//AHrDqQo24Ldfqajn+K01lGsl94F8UwRs+zd9kDDvj+L0Ga6TQPHfhjxPL5Okaxbz3HP7 g5STjr8jAH9K5DWP+TjvD3/YGl/nLXqDEhSQMkDgetcr8P8AxhJ4z0O4vbi0S0ure7ktprdXLeWV xwTjk4I6cV0Fjpdlpr3DWcAiNzJ5sxBJ3vtC7jnvgDJ745q3RWVo+o3N/d6vHOsIS0vDBCY2yxXY jfMOxyx/DBrVooorkfij/wAkw8Rf9ebf0re0L/kXtN/69Yv/AEAVoUUUVjeFv+Rdt/8Afl/9GNWz RRRRRRRRRRXFfFz/AJJV4g/64D/0Na2fBf8AyInh/wD7Btv/AOi1rbACjAAA9BS0Vy3ivwBoni3y 5rqOS11CHmG/tG8uePGcYbuOTwa8znuLvwr8d9AXxTrcN1EunvDb3zx+WzK5cKJccBtxI3DgjBPe vda8x8CXtpp/xT8b+G7dBDH5sN5DAnCDMaiQgepLLn8K9OoorO0zSbbTbrU7iB3eS/uftE24ggNs VMD0GEFaNFFFcj8Uf+SYeIv+vNv6Vp+DZZZ/BOhyzpslexhLLuLYOwdyTmtuiiisbwt/yLtv/vy/ +jGrZooooooopskiRRtJI6oijLMxwAPUmq2narp+r25uNOvYLuEMULwyBwGBwRxVuuK+Ln/JKvEH /XAf+hrWz4L/AORF8Pf9g23/APRa1uUUUV5F4t0mw1z4+aJp+p2sV1aTaJKHjkXI6y8j0I7Ecit3 wLeyaDr+p+AryaaY2Ci506eXrJatjCk9yrEjP+FcPqFvqOlftKtqOl6fdXsLpD9u8tC3lJIgQtx2 GAfwNe8UUVy3hIqdb8XAbsjVxnJ4/wCPeHpXU0UUVyPxR/5Jh4i/682/pWt4TuxfeD9GugABLZQv gNkDKDvgZrYooorG8Lf8i7b/AO/L/wCjGrZooooooorifHyia/8ADVvfqg0Br8vqMssgWMFUYwo4 PVWkx7ZAHepPC9tJdeMNe8Qxq8OnXiQW1orfKLjyw26ULjOMnCnuAT0INdlXFfFz/klXiD/rgP8A 0Na2fBf/ACIvh7/sG2//AKLWtyiiivLtY/5OO8Pf9gaT+ctT/Fu3Gj22leOLVXF7ol0m9kYDfbyM FdDnrnIA/wB41q+DJHv/ABX4t1UsPKmmtIYkK4ZUW3WQZ/7/AH6V2tFFZml6jY317q0NpCY5bO6E NyxQLvk8tGzkdflZRk+ladFFFcj8Uf8AkmHiL/rzb+lWfh5/yTjw3/2DYP8A0AV0tFFFY3hb/kXb f/fl/wDRjVs0UUUUUUVn6zoum6/p5stWtUubXcHMbkgZHQ8EdK5ma08HGxsLK11rTrS3sLpLuBY7 tCVkVsnJZjkEFlIPZvYV0P8Awk2gf9BzTf8AwLj/AMa5H4ra3pNx8Mdbhh1SyklltwY0S4Qs/wA6 9ADz0NSaJ498KaB4V8N2Opa/YxXD2ECbVk8wKVjUHcVyF57nFdHB4z8L3L7IfEOlu2xZMC6T7p6H rWpaX1pqERlsrqC5jB2l4ZA4B9MirFFefa8ij43eEX8pQxsLwGXjLAAcevGSf+BfWtj4kPYJ8Otd /tKcwWrWrK0iqGIJ4XAPUliAKy/g1Eq/C/Srgl3mufMlmd2LM7b2XJJ9lA/Cu9oork/CTBde8Y7i B/xNx1P/AE7QV1gORkdKaHVjgMCfY07NGc9K5H4of8kw8Rf9ebf0q74DZX+H/h5kXap06AgYAwNg 9K6GiioriZoEDrC8o3AME6geuO+PQc1keD54rnwtZzwOJIpTI6OvRlMjEGtyiiiiiiimTQxXMEkE yLJFIpR0YZDKRgg1xD/Bv4fu7OfDsQLHJ2zygfgA/FN/4Ux8P/8AoXU/8CZv/i65f4jfC3wZofw+ 1jUtO0RILy3hDRSCeVtp3AdCxHeo9M+B/hXX9B8N6ntuLPfYRS3ccEhP2l2RTklidvO7oO/bFX7/ AOE/wy8Jabc6nq9vI1tHGWxc3bZOOcIAVyx6AVyERs9Jl8M+JdE0t9H0a91mK2trRNyzXEWSfNlY sS2TuAXkY5r6Iorgdf8A+SzeDv8Arzvv/QVrE+IWqf8ACV63eeC0uYrPR7G2F5rl5JxsUYZEX8dp P5diD0Xwhhlg+FWgpNG8b+U7bXXBwZHIP4gg/jXb0Via1LdX0y6PptwYZn2tdzLkNBAcjKHs5Iwv XGCewpt94L8N6oyNqGi2l2yIEDTpvbA6ZJ5P1NXYtC0yDSF0mGyijsFGBboNqgZzxj3rOsfAvhXT LyO8sdBsba5jOUliiCsp+orR1PQ9M1kwnUbKK5MO7yzIM7NwwcfUcUlhpeleH7SUWVvDZWwBeTad qKBkknPA7mvMP7Ntfih4h3adbSW/hW1mLXN3vdG1GTPMajdzEQQc4r0WPwhoEMaxRabFHGgwqIWV VHoADwKng8OaTazpPDZqkiHKtvbj9aj/AOEV0T/nwX/vtv8AGnSeGdHlcu9kpY997f41lNoukX11 PYabCiLGfKvJ0kfKZAOxTn7x7n+H61q6F4c0zw3DcQaVCbe3ml83yAxKRnAB2A/dBxnHqT61rUUU UUUUUUUVxXxc/wCSVeIP+uA/9DWrvh/U7PRvhjo+o39xHb2sGlW7vJIcADyl/wD1YryLw5oPiD4x eKRrfjGKa00mw2+RbLAY45cndtXdzjoS3ORgZHGNf9oDUZtL/wCEQW1EaxxXjXCxlRjdHs2fh8x4 r24dBRXlPxG1m50L4l+Eryy02XUrs211FDbRHBZn2KCTg4UZyTio/EXheXQ/h/caR9sebXfFOpQx Xd0McySMC4AOPkVFcAe/avVLS2SysoLWIsY4I1jUscnCjAz+VTVkXusyJq1vpen2xubpmD3DE4jt os8szf3iPur1PXgAmteiiimySJDE8srqkaKWZmOAoHUk+leaT3N38VdRlsLGWe08H2r7bi7QFW1J wSDGhzgwkZye5r0aysrbTrKGys4EgtoECRRIMBVHQCp6KKqXDPcGS1t5jFIAN7+WTtBB6Hpnj3x6 VZjjSKNY0GFXoKdRRRRRRRRRRRXFfFv/AJJV4g/64D/0Na5TwX4d1PxtaeH9T8RwG20LSrWKOw0x +ftTCNAJ5OxU4yo9vTOfYK8V+PXhiLVLnw1fedMkkt6mnsVAKojkndj1z717HaQCysYLfzHdYY1T fIcswAxkn14rgfEfxQC340TwbYnXtZaTy38sN5FuehLuOOD6HHqRWBZ+H9Q0L4xeHNQ1zW5NS1K9 srp7mRgEhhCIMLGOyjcfr145rc8ItdeN/GF34vupT/Y+nyyWejQA5ViMrJPyvJboCDwCw7V6RVOP U7ebUpLGEtLLEuZmQfLFnoCfU+gyfXHFS21lbWZmNtBHEZ5TNKUXBdz1Y+p4H5Cp6KKa7rHG0jsF RQSzE4AA715bd3WpfFfVH0/TpJbPwVA3+kX6Eq+osDykZ/uZBBPt9BXptnZWunWcVnZW8dvbQrtj iiUKqj0AFT0UVSupJbgva2kpilABebZkICecHpu9u3U+9wDCgZJwOp70tFFFFFFFFYOu+KIdB1fR rGaHeupTGEyiQDyegUkdwWZV+pFXNJ1OTVGvmMCRw2909vE6y7zJs4ZiMfL82RjJ6VpVXvb2102y mvb2dILaFS8kshwqgdzXzt8StU8WeL9KvtXfSLpfB0S77CSORYi2SoWaRTlnUgnAwMbh6HPe6T8W obXw7piXPhvxDPcrYxmVoLDKM+xcbSDjDZyMdBWn/wALp8FSxf6He3V5dlcpZwWcplc/3QCuM/jX G/Ejxzea/p+lxaT4W1QQpqdvJHd38JgUzBvljweecjnIrqX8E+MvFIeDxl4mji0yRPmsNGTystxg F2BJXIJxzXSww+Ffht4dCBrTS7CMcu5AaU+56u35mvCPGd1rvxe8a6Lb6Zp02nWE0Mi2Mt4NnmoM GWQkdRjbwM9vWvcPhz4Pm8D+EotHnv8A7bIJWlLBSFQtjKqD2yCfckniunS5gkuZbZJUaaJVaSMH lQ2cZHbOD+VJbW0VpCIogcZySxyWPcknkmpqKKQkKCSQAOSTXmN7e33xT1KXS9FvZ7PwlBui1C/j Xa94/GYoiRkKO7dOe/f0bT7C10rT4LGxgSC1gQJHGgwFAqzRRVSaU3Pm2ttNskHyySpgmIkZHB74 p9lY22n2/k20QRCxZvVmPVmPUk9yeTViiiiiiiiiiuU8R+FZvEp1mG5kSKGexS3snRzujkDFy5GO MMI8YJ4U9Ku6TOmj/wBmeHJvNmvfsfmvcbcLMykCR8k8sWYMR1+fNbF3d29haTXd3MkNvCheSSRs KqjqSa8ysjcfFzUxeXCSQeCrOb9zbuCranIv8b/9Mwei9+/oN34sosfwn15EUKi26hVUYAG9eBVT wlquh6BZ+E9MSzWC91vTInaaKMKrMkII3n1ID4P+ya6Pw3Hp9/CfEEOj21lc32SZUVTJLGCdrFgO 45x71gfFn/kA6L/2HLP/ANDrva5i58B6JqHiuTxFqUT390UWOGK6IeG3AA+4hGASQTk55JrF1+JR 8Y/BaJmNUs73ATAGAq8fSu+m8zyZPJ2ebtOzfnbu7Zx2qGwtpLa1VZ5BLcN800gGAznrgdh2HsBV miikJCgkkADkk15lqmp3XxK1y48OaHdGLw3aFRqmpQN/x9E4JgiYcdD8x/Dp19D0zTLPR9Og0+wt 0gtoECIiKAAAP5+9W6y9S8QadpM6RXszRg43yeWxjhBOFMjAYQEggE4HFaasrorowZWGQwOQRTH/ AHiukcu1xwSMEqfpUlFFFFFFFFFFFFVboWVpHLqFxHGot1aVpdmWUBfmIwM/dGOPSvPCJvi1cpvh ntvBcDk/OCjaqwY4xyCsalQemSf09Jt7eG0tore3iSKCJQkcaDCqo4AA7CuO+Ln/ACSrxB/1wX/0 Narz+EJNc0G5ktZ4bO6c2j6XdIFdYEhRShUAdCWl454atuTxHp2jy3mkpBMz6XaRTGNMNmAnbkHP VdpyDg8cZyKwvipEbnRNDKwOZBrtptG3LD5zkjHtXf0V554olki+L/hBoYvNl+xXwRNwUE7V6nsP zrurOyFoZ286aZ5pC7PKQSAeijAGFHYVZooorzzXdS1Xxtq914W8PSNa6VA5g1fV1PKsPv28XH38 EZbtk/j2mjaNp/h/SbfTNMtkt7SBdqIv6knuT1J71frO1jXLDQorebUZGhgnmWATbCURm6F26KCe MnjJFZXiTTJEuV1nT57SO9aL7JLb3p/c30Z3bYW5+VtzcMAerDBBp3hSO40+wOny2zwhZ5WityvF tDuO1QwyGGc7cY+Ujjit21tIbONkhTG5i7sTlmY9SSeSanooooooooooooooork/idb/AGr4ZeIo 8ZxZO/Qn7vzdvpV/wV/yIfh7/sGW3/opa0rrTbW8QrLENrNlwvHmDuG9Qe49qt1Bb3SXLyeUC0aH AlBBVzyCBz2Iwai1O6uLSxd7O2+03TfLDESVVmPTc2DtXuT/AFrzHxYk1l8XvALT3LPLIbppmydo +QZCg9FGK9QsL37fbtOLaeBN5VPOUKXUdHAzkA9s4PsKtUUVxms6zfeIdWl8NeG5nhWM7dT1aMZF qMZ8qM9DMR/3xnJ5wK6XSNIsdC0uHTtOgENtCMKo5JPcknkknkk8k1eoqK5t4bu1ltriJZYJkMck bjIZSMEEehFYenaJJo1kNKR3vrQzM1r9pQMLKIAbUyTlwDwuecHGeM1uwQrBEEXJ7lj1Y9yfepKK KKKKKKKKKKKKKKK5r4heb/wrnxH5Ozd/Z0+d+cbdh3dO+M498VY8Ff8AIh+Hv+wZbf8Aopa3aimQ XMBQONj8NjnK9x+WRmobiZbC1SK2t974Cw28eFz0H4KMjJ7VPGzrbq1wyBwuZCvCg45xntXmvjW1 sr/4teBPtdsLq2ZLlozu+TeArKc9+mcd69OoorhvEWuanr2pv4W8JzBJl41LVVIZbFTnKL6ynBwO 3X3HT6BoVj4a0W30rTkZbeEHl23M7E5ZmPckkk1pUUVTmvwmoQ2MUbSTON7fKwVEBwSWwRnkYXOT 9AamtrWK0iMcQIBYsxYklmPJJJ61NRRRRRRRRRRRRRRRRRXPePf+SeeJP+wZcf8Aotqf4MYJ4A8P seg0u3P/AJCWvJ/Cfxg1Txz44fQGtxaabesRC0KFpY0VSWBP+0Byf4e1ex+baaPFZ6VYW4Vivl28 ESfLGoH3mx91Rjqep45JqDxZr6+F/Cmo628Hnm0hLiMHG5iQAM9hkjNeafCv4hah8R7/AFLTdeWM LCVuIo7eFgjoSQUkbkYB24BwW5zkDFa/jhJk+L/w/lRXWLdcxlhkDOwcf/Wr06iuK8R65qGsaq/h TwvMI70Af2lqG0lbCMgEAdjIwPygHjGTiuh8PeHtO8MaRFpmmQ+XCnLMxy8jHq7nux9a1KKKytU1 GZZhpenY/tKaJnR3QtHAvTe+OOp4XI3YPTkizpunRabbGNCXlkbzJ5m+9NJgAue2TgcDgdquUUUU UUUUUUUUUUUUUUVz3j3/AJJ54k/7Blx/6LapPBX/ACIfh7/sGW3/AKKWua0Gw0fTPil4jEGmW8c7 i0EJhgUFGaOQu2f4QQBn147mu9S3hjmlmSNRJKRvfu2BgUs8EN1A8FxFHNDIpV45FDKwPYg8EVyP w4sbK30jUbi2sra3lm1S7SRoIVTcsc7og4HQKAAPr6msnxzFJ/wtH4fy/L5QuLhfvc58vPT+tekV x3iDxDfX+qSeFvC0sX9rCMPeXj8x6fGehPrIf4V/E8dd/QtCsfDulpYWCMEBLySSNukmkPLO7dWY nkmtKiiq09x8z21vJF9s8veqOTgDOMnHb+eKWztEs4VQO8sm0B5pMb5CBjLEAZNWKKKKKKKKKKKK KKKKKKKK57x7/wAk88Sf9gy4/wDRbU3wjeW1r4F8MLcTxxNPYW0UQdgC7mIHaPU4B/Kq2iM8nxI8 VeYwfyreyWM7QCqlZCRkDnnnmusorlPh7/yL15/2Fr//ANKZKxfHMKf8LM+H82+TeLq4TZj5ceXn Ocdfxra8Ua9eNcjw54cKSa7cJlpWGY7GI9ZZMd8Z2r1J9ga0fDHhmy8LaQtjaF5ZGJkuLmY7pbiQ nLO57kkn6VtUUVn3+omG4jsbQLJfzKWRG+6iA4Lv7DPTqTwO5EmnWAsbfDyGa5kw085GDK+OTjsP QdAOKuUUUUUUUUUUUUUUUUUUUUVheNLW7vvBGt2djbNc3VzZSwxRKwUszKV6njvn8K4Pw3rWpaHZ 6ct54B8Rz31tZRWrTrsdVVUUYRd+FBwM4wT3qXS/GV0vizxFe2/grX2naC1FxCTFvUjzAh27uhB7 Z6GuhfxnrwjMq+AdaaMZ6zW4bjr8u/P09e1F/wCN9Ws5lRPAuvTgrndH5RAOSCOHPcfj1rC8I+J9 WtLG5s7TwPrspN/cykytDGF3ys5BZmAyCxH4VleLNS8ZeItb0K70rwZqNlJpU8kjTXexgC67Mqob 58cnrzgetdB4e1mDw7YtDD4U8WT3Mz+bdXc1ipluZD1djv8AyHQDgVsf8J0//Qo+KP8AwBX/AOLo /wCE6f8A6FHxR/4Ar/8AF0f8J0//AEKPij/wBX/4us7VviHqNrHHLaeDte8kFvtEtxaBfKXHDgBj uwcZHHGeRXY6XHD9jS5jJd7lFkklYANIcDk44/AcCrtFFFFFFFFFFFFFFFFFFFFFFFc7pbyt468Q q+3YttZ7MIAcfvc5IOTz610VFYfhj/j0v/8AWf8AIRuf9Z1/1h/T09sVuUUUUUU1EWNAiKFUdAow BTqKKKKKKKKKKKKKKKKKKKKKKKx7NZB4u1YvJuRrS12Lj7o3TZ/XmsjxFpNnqHivTLjUtCkuLe1A eK9iBciXdhUZQchQSGzgjIGSMc9fWL4b3fZtQ3lS39o3H3RgffOP0raooooooooooooooooooooo ooooooooorl7u217/hKNSvLCG2KLZ262wnmdI5X3Sbt+1T0BOOvUcc8aqza4bSNjZWC3HngPH9pc r5Pchtn3vbGPesae78fIZGj0rw8yAkqv26bcR2/5ZYzV7wtb6hFa3kmpRrDcSXkzeTGSUVS5IIJA LZ65wPpxW9RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR RRRRRRRRRRRRRRRRRRRRRRRRX//Z ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image033.wmz Content-Transfer-Encoding: base64 Content-Type: image/x-wmz H4sIAAAAAAAEC5VUQWsTQRT+5qVNmk3axpiDFA9RqLTQSAmCgvSoeDGg7cFLD1W2tbBpC40kezJH 8SCeDcgi/QUKrYcKEcWTgqBYvLZ/oCX2JG363uxkkyxsaWfZ3ffNvPnme2/mzc6Pb2+gWzNXJyTF fHBPiRF7TgDhsh4d5G+SMSAWKWUsRe12W/ddV5dMXyrwS1Odmrks91+Lj2IM7NsGMoybbG3xW88B N9k/ZXzSuL9QeTrnrtnAml77P3062uNR4LUsSvxkZt3y41UHeGVZf37uZ/Fxo1X9zG9++rC6mVic H2DHAnsP8b9ovVU3IFMnXInlNL5Ny/oSzacgvPs9vLtx4Z00vBun6dyJ5oXhVUZvQ80kevVG87Le r9G8Yb0NFRvp1Vs/ZvHcdF4xwHmdWy7b6/mSXc0/XC0vrETm1c9DR6+nxnLCe9v18+2ppYuCp01e 8rzn0s67Tlj/P6QuCG/RrAN6lBQ8FeA75GN/n/viC5+bv95B9LkJxzeTFd4PQXzvdB4LAY6nZLyL WzEf+zq68Uvv2fMcjh90mJHSqgXxPhkWRteVsi1aoEYyxtYzp2L7OwHaHdIeTgff1Se25nRmvKDw jF+6tmtOOIfn0x4+0576PSoMJaPEU7fS/XhLn/nu+Phg//h7XcMlx2IWuU0sfZuID8w9kUFCo21J 0ndFdHXWXa/YZczLnQCecQUv9QT5bLeyuu4KHG+nriUXwAkCXEZ/FAUAAA== ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image034.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlh3QAbAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMAAADW ABgAgwAAAAAAAAkICAoICQsKCgwKCwkHCAcGBwgHBwsJCgcGBgUEBAMDAwYFBQECAwECAwT/EMhJ q704680N/2D4CWJpnsOprlZaDQQrs4Q73yWM719hAz6ekDMoDI+VAgnJlBQnnqYUEBUGAszq9Fg9 bJuIIRYwHnq/xzAgsUQPBQlkmTdou3eDlMB+x7HlXD9Xc4NzTIMUhRcJHgpxE4iQkVKTZJUUCQom lYpkN1cVjhaGhlOkGQSaC4+JFaWUrhsLKqcSWK+eH2NzDKySrW6gkBoMZEauhHfCthu4HMu5nReX scPMsclot8AY29jcW97XGc4a4rki0OBlpeLlR+7N6MPsyujv8yHxtO2tt8fWdtmLJi+AL4L5TF3D h2/awhXq5pXpxU3gjELSKo7DUKyBr3oJ609gpHZvI4ZZtka+AtlwFK5sAERZ89RyR713BTTJHHcu HD0OqTb9TBdxHRRBQ/XVdMjsHSMAezQutcTiJoc/Jazq08UNa76iBUUi25BnTRtSU2mKTYQPTtax YkyekUaop7dbYMlNqjtPDYC5e8cmE0jSXGC2fbMeTmnJrsqV7LBoadbPYlpdhtpMDjvUYtw5fD4R tgnkhzmHluG9AAjA9OnBD1WXScAah9aLE3Rw7kz1MwXTCWJg9tf0MghornHvMk7kWTS8oKIzJ4cu eehukhRJB5Rbtsk+1cDLUDd9U3nF4tMfUh+yyXkMEQAAOw== ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image035.wmz Content-Transfer-Encoding: base64 Content-Type: image/x-wmz H4sIAAAAAAAEC5VSMUvDUBC+u7apTQuGTCIOqYOTFenqX9AitptLK6QoJLbQShtwSMHJyUnEyUHc nFwcOujipLNOkp+gFEEoGO9e0ooVh77wLt9777vv3t2956eHc1DDSlcJMwI3txEYJOoIQLCgTlNs MyRQECEfKYQUhqFCKzgX72XHvBxVyUqbvL+kzcI8MDcEMHh9x+iKZ6ABaMzPxpwcbNTauxWvaQM0 Vewh+V98yONEgkKSwKjsuXbLKtkda6vh1vbh9nLQuedprX50rvV6L8m8ArNn+F/UfTzUxHXNk1yG ZPEdZEyrhyC6b2PdAF9VHZb/6Eq0ae4Z6WJ83wA/U6LQ9aQdRT3APCUYHThtO8ooQEdF7jpRRj8V mi7yZEY+viRFoeSMKrcO0XoyDpOIP6PsuTsNB+BI188u3s1/O/E7Qx9PE6J74+hs5W3o6m3IHsRd NyCtVn15TY9ItFj2Wm3bhZ50GNgjD8fKQUx/YKruFLguoy5JzQC+AZfIyojiAgAA ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image036.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhTAAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMABQBF ABAAgAAAAAAAAAJ5BIJmmOoPo3SM1nlewFztTmlgs4DddX4lt6mZObpRG7LvDccTvULuB8zBSL6V bObpCXfH2qspKkGXB6JExbNJhValNjNNWpZZriZcJf3KYCmRAbfCxQted3a0e6nX3wgZhMN35YTB pnc3GIJWBNRSkZCo2KbIOAlTAAA7 ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image037.wmz Content-Transfer-Encoding: base64 Content-Type: image/x-wmz H4sIAAAAAAAEC5VSO08CQRCeGd4HiRcqYyxOCyvxQUvDD1AKoaMBkyOa3AkJKNnE4morS2NFQfwD NhYU2lhpbXuVlYWGWJF4zuwdGDEWDGHv291vv3m+PD9eg7ZyqkGQEbhbRwGxFgIQrOrbBK8ZEiiI kK80QgqCQKMtXI7OsjNejhpUTuX5fCO5BCvA3ADA5P09oxvZpQCSzM9GnBzsN3tHNdWxATra94S8 L75kuxSnECcwa8eu3bUqdt86aLvNE7gbjvsP/Ld2PvvldKseZ16B2Wn+Fg0Pr5LytKQklwlZHIPY onoIovs+0/XxTddh84+ueFskzlAXo3h9NHW8Skk7ioaP2xRjdOr07DAjH8+0Z+WEGf1UaDHP8xl5 +BoXhYozrdwehPt5P0wi/plV5R62HYDzhFEafOT/7cTvDD0cxkT31jF4ldkw9GzIGURdN2U02EYy TU9ItF5V3Z7tQl06DPxiDS70A1lG47zuToHrMu2S1AzgGyGaXMniAgAA ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image038.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhTQAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMABQBG ABEAgAAAAAAAAAJ6BIJmmOoPo3SM1rlewJx2D3ZN9okjdm7iEZYmyioqt82zW56ePd3qj8PpZKRb jxgL0owh4CrDVFqizSSNSO1RsxrsxzhccWEW0whc20F1jHbqYk3Yxt66U3r15eKxO/7Ik6MHFPan QSfxU1MhhyjleNhi6FL4NGmYVQAAOw== ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image039.wmz Content-Transfer-Encoding: base64 Content-Type: image/x-wmz H4sIAAAAAAAEC5VSPU8CQRCdGT5ODhIvVMZYnBZWYgytiZWFhVIInYkBkyOacEICBrfyOg0Fobai MP4BGwsKbay0tr2foCFWGM+ZvQMjxoK57N7b2bdvdnbm9eXpGrT5RpkwJbB3gMAgVkUAgiW9m+A5 RQIFEfKWRkhBEGi0jguRLz3hZahMvpFl/2pyHhaBuQGAxesHRrc8+gZAkvnpiJOBvUrruKQaDkBD xx6R98WbbD0JCnECq3TiOk274LTt/bpbOYX7m2H7kYe98dHumtVOnHk5Zs/xP296uGPI0U0luYzI 5juIzaqHILpvE10ft0l01/7oineWe4a6GN3Xx0N5EjhXUo686eMlxRid1VpOmJGPNQwZYUY/LzRb 5OmMPNxKiEJBjV9uF8L1dBwmEX9WUblH9RrARcK86r9n/63E7ww9/IyJ7p0yeZbeMHVviA+iqlvA rcE2kESfkWilqJotx4WOVBj4xDJ09AGZBsOsrk6OO3NcJXkzgG82c4uY4gIAAA== ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/image040.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhVAAZAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMABQBO ABEAgAAAAAAAAAKKBIJmmOoPo5TMsTAjtrlTz4Wg0izjeZSZup1Ye6CyCr3iaJvyTpOx3oFthjse LEREtZJFUM+nO3qWv+bqKcopfVJXtxrkzh5YHHhr+VIqwFRKayKySZdLuiR8JZbqdJz8w2S19gcV VigWOLiSePYxdJSjtzgh2fcItFehSamhaEVz2VkpejhKqVYAADs= ------=_NextPart_01C973CF.F24FA460 Content-Location: file:///C:/F3697F39/file7337.files/filelist.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C973CF.F24FA460--