2 TRILUX LIS - Leuchten-Informationssystem 07 #8&6yDMeRj%7q2VV 8172162 TRILUX ArimoFit G2 Act M57 D-WW 42-8 ETDD8 (ActDSU) ETDD8 4 ArimoFit ArimoFit ArimoFit ArimoFit ArimoFit ArimoFit ArimoFit 510 mit elektronischem Transformator, digital dimmbar, Dali with digitally dimmable electronic transformer, Dali z transformatorem elektronicznym z cyfrowa funkcja przyciemniania, Dali avec transformateur électronique, dimmable numériquement (DALI). con trasformatore elettronico, dimmerabile digitale, Dali Met elektronische transformator, digitaal dimbaar, DALI con transformador digital electrónico regulable (DALI) 40.00 1.0 ArimoFit G2 Act M57 D-WW 42-8 ETDD8 (TOC 8172162): Rechteckige LED-Einbauleuchte mit transluzenter Abdeckscheibe D-WW. Ausführung M57 (312,5 mm x 1250 mm). Leuchte mit Active-Ausstattung zur Steuerung der Lichtfarbe mittels separatem Steuergerät. Optional kann die Leuchte mit einem Notlichtsystem für den Deckeneinbau mit einer Notlichtbetriebsdauer von 3 Stunden ausgestattet werden. In der Betriebsart Notlicht beträgt der Leuchtenlichtstrom 500 lm. Erzeugung einer tieferen Raumwirkung. Geeignet zur Anwendung in HACCP, IFS und/oder BRC Global Standard Food zertifizierten Unternehmen (DIN 10500). Für Systemdecken mit sichtbaren Tragschienen. Der Leuchtenkörper schließt mit dem Deckensystem raumseitung bündig ab. In Kombination mit separat zu bestellenden Zubehören für gesägte Deckenöffnungen sowie zur deckenbündigen Anbaumontage geeignet. Das optische System besteht aus einer transluzenten, vergilbungsfreien PMMA-Abdeckung mit hohem Transmissionsgrad. Die Oberfläche der Abdeckung ist glatt und frei von sichtbaren, microprismatischen Strukturen. Wallwasher mit asymmetrischer Lichtstärkeverteilung. Harmonische Lichtwirkung durch gleichmäßig ausgeleuchteten Lichtaustritt. Individuelle Gestaltung der Lichtaustrittsfläche (z.B. durch Druck) und weitere Sonderlösungen auf Anfrage möglich. LED-Paneele bestückt mit LED der Lichtfarbe warmweiß und tageslichtweiß. Nachfolgende Angaben zum Leuchtenlichtstrom und der Systemanschlussleistung beziehen sich auf den Betrieb dieser Leuchte mit dynamisch einstellbarer Lichtfarbe (HCL) im Betriebsmodus Lichtfarbe warmweiß (2700 K). Bemessungslichtstrom 4200 lm, Bemessungsleistung 40,00 W, maximale Leuchten-Lichtausbeute 114 lm/W. Lichtfarbe variabel (warmweiß - tageslichtweiß), ähnlichste Farbtemperatur (CCT) variabel (2700 K - 6000 K), allgemeiner Farbwiedergabeindex (CRI) Ra > 80. Mittlere Bemessungslebensdauer L80(tq 25 °C) = 100.000 h, mittlere Bemessungslebensdauer L90(tq 25 °C) = 50.000 h. Die Lichtquelle ist entsprechend der Ökodesign-Anforderungen (VO (EU) 2019/2020) austauschbar. Leuchtenkörper aus Aluminium-Strangpressprofil. Rahmen weiß pulverbeschichtet (RAL 9016). Leuchtenmaße (L x B x H): 1245 mm, 308 mm, 22 mm. Der umlaufende Rand des Rahmenprofils erleichtert die Montage. Zur Erzeugung eines Tiefeneffektes in der Decke ist der Leuchtenrahmen 3-dimensional profiliert. Leuchte mit Dämmmaterial bei ta 25°C abdeckbar, ta35 °C ohne Dämmmaterial ebenfalls nutzbar. Schutzklasse (EN 61140): I, Schutzart (DIN EN 60529): IP20, Schutzart raumseitig: IP40, Stoßfestigkeitsgrad nach IEC 62262: IK03, Prüftemperatur Glühdrahttest gemäß IEC 60695-2-11: 650 °C. Gewicht: 3,9 kg. Verpolungssicher Schnellanschluss mit Netzweiterleitung bis Ø 2,5 mm². Anschluss des Vorschaltgerätes an Leuchte mittels Steckverbindung (Plug and Play). Das Verpackungskonzept der Leuchte ermöglicht die separate Entnahme des Betriebsgeräts zur Vormontage, die weiteren Bestandteile der Leuchte bleiben bis zur Endmontage geschützt. Mit externem, elektronischen Betriebsgerät zum schalten, dimmen und steuern der Lichtfarbe mittels DALI Device Type 8 fähigem Steuergerät. Betriebsgerät gemäß DALI-2-Standard (EN 62386). Das Betriebsgerät ist entsprechend der Ökodesign-Anforderungen (VO (EU) 2019/2020) austauschbar. Betriebsgerät leerlauffest und vor Fehlanschluss, Kurzschluss, Überlastung und Übertemperatur geschützt. Output Ripple des Betriebsgerätes < 4 % zur effektiven Ansteuerung des LED-Systems und flickerfreiem Licht. Das Produkt erfüllt die grundlegenden Anforderungen der anwendbaren EU-Richtlinien und des Produktsicherheitsgesetzes und trägt die CE-Kennzeichnung. Die Leuchte ist Bestandteil eines Sortiments von Einbau-, Anbau- und Hängeleuchten, die im Erscheinungsbild aufeinander abgestimmt sind. Die Anwendungsvielfalt der Produktreihe wird durch Varianten im Bereich der Lichtstrompakete, Lichtverteilungskurven und Schutzarten zusätzlich unterstrichen. Auf Anfrage kann das Basis-Sortiment um projektspezifische Leuchten- ArimoFit G2 Act M57 D-WW 42-8 ETDD8 (TOC 8172162): Rectangular recessed LED luminaire with translucent cover D-WW. Version M57 (312.5 mm x 1250 mm). Luminaire with Active equipment for controlling light colour via separate control unit. Optionally, the luminaire can be equipped with an emergency light system for ceiling recessing with an emergency light operation time of 3 hours. In emergency light operation, the luminaire luminous flux is 500 lm. Generation of an enhanced depth effect in the room. Suitable for use in HACCP, IFS and/or BRC Global Standard Food certified companies (DIN 10500). For system ceilings with exposed grids. .. In combination with accessories to be ordered separately, suitable for plasterboard ceiling openings and for flush ceiling surface mounting. The optical system consists of a translucent, non-yellowing PMMA cover with high transmission factor. The cover surface is smooth and free of visible microprism structures. Wallwasher with asymmetric light distribution. Harmonious light effect due to homogeneously illuminated light emission. Individual design of the light emission surface (e.g. with printing) and other special solutions are possible on request. LED panels configured with warm white and daylight white light colour LEDs. The following information on luminaire luminous flux and power consumption of the system refer to operation of this luminaire with dynamic, settable light colour (HCL) in warm white light colour (2700 K) operating mode. Luminaire luminous flux 4200 lm, connected load 40,00 W, luminous efficiency of luminaire 105 lm/W. Light colour variable (warm white - daylight white), correlated colour temperature (CCT) variable (2700 K - 6000 K), general colour rendering index (CRI) Ra > 80. Mean rated service life L80(tq 25 °C) = 100,000 h, mean rated service life L90(tq 25 °C) = 50,000 h. The light source is replaceable according to the ecodesign requirements (VO (EU) 2019/2020). Luminaire body of extruded aluminium profile. White powder-coated frame (RAL 9016). Luminaire dimensions (L x W x H): 1245 mm, 308 mm, 22 mm. The all-round edge of the frame profile assists mounting. The luminaire frame is profiled in a 3-dimensional way to generate a depth effect on the ceiling. Luminaire can be covered with insulatin material at ta 25°C, ta35 °C without insulation materila can be also be used. Safety class (EN 61140): I, protection rating (DIN EN 60529): IP20, Protection rating on room side: IP40, impact resistance level in accordance with IEC 62262: IK03, testing temperature of wire glow test in accordance with IEC 60695-2-11: 650 °C. Weight: 3,9 kg. Polarity-protected rapid connection with mains through-wiring up to Ø 2.5 mm². Connection of the ballast unit to the luminaire (Plug ‘N Play). The luminaire’s packaging concept facilitates separate removal of the control gear unit for pre-assembly, leaving the remaining luminaire components protected until final assembly. With external electronic control gear unit to switch, dim and control light colour via DALI device type 8-capable controller. Control gear unit according to DALI-2 standard (EN 62386). The control gear unit is replaceable in accordance with the ecodesign requirements (VO (EU) 2019/2020). Control gear unit is open-circuit proof and protected against faulty connection, short circuit, overload and overtemperature. Output ripple of the control gear unit < 4 % for effective control of the LED system and for flicker-free light. The luminaire complies with the fundamental requirements of applicable EU regulations and product safety legislation and bears the CE symbol. The luminaire is part of a range of recessed, surface-mounted and suspended luminaires with a harmonised appearance. The application variety of the product series is underlined by variants regarding luminous flux packages, light distribution curves and protection ratings. On request, the basic range can be expanded with project-specific luminaire features. ArimoFit G2 Act M57 D-WW 42-8 ETDD8 (TOC 8172162): Prostokatna oprawa diodowa do wbudowania z pólprzezroczystym kloszem D-WW. Wersja M57 (312,5 mm x 1250 mm). Oprawa z wyposazeniem Active do sterowania barwa swiatla za pomoca osobnego sterownika. Opcjonalnie oprawe mozna wyposazyc w system oswietlenia awaryjnego do montazu podtynkowego z czasem pracy oswietlenia awaryjnego do 3 godzin. W trybie pracy swiatla awaryjnego strumien swietlny oprawy wynosi 500 lm. Tworzenie efektu wiekszej glebi w pomieszczeniu. Odpowiednia do stosowania w przedsiebiorstwach posiadajacych certyfikat HACCP, IFS i/lub BRC Global Standard Food (DIN 10500). Do sufitów systemowych z widocznymi szynami nosnymi. .. W polaczeniu z zamawianymi oddzielnie akcesoriami nadaje sie do montazu w wycieciach sufitowych oraz do montazu zlicowanego w suficie podwieszanym. Uklad optyczny obejmuje pólprzezroczysty, odporny na zólkniecie klosz z PMMA o wysokim wspólczynniku przepuszczania. Powierzchnia klosza jest gladka i wolna od widocznych struktur mikropryzmatycznych. Wallwasher z asymetrycznym rozsylem swiatla. W pelni harmonijny efekt oswietleniowy dzieki równomiernie rozswietlonym wylotom swiatla. Indywidualny projekt powierzchni wylotu swiatla (np. poprzez nadruk) i inne rozwiazania specjalne dostepne po uzgodnieniu. Panele diodowe z diodami o barwie swiatla bialej cieplej i bialej dziennej. Ponizsze informacje dotyczace strumienia swietlnego oprawy i poboru mocy zestawu odnosza sie do pracy tej oprawy z regulowana dynamicznie barwa swiatla (HCL) w trybie pracy cieplej bieli (2700 K). Strumien swietlny oprawy 4200 lm, pobór mocy 40,00 W, skutecznosc swietlna oprawy 105 lm/W. Barwa swiatla zmienne (biala ciepla – biale swiatlo dzienne), temperatura barwowa zmienna (2700 K – 6000 K), ogólny wskaznik oddawania barw (CRI) Ra > 80. Sredni okres trwalosci znamionowej L80(tq 25 °C) = 100.000 h, Sredni okres trwalosci znamionowej L90(tq 25 °C) = 50.000 h. Zródlo swiatla jest wymiennE zgodnie z wymogami ekoprojektu (rozporzadzenie (UE) 2019/2020). Korpus oprawy oswietleniowej z wytlaczanego profilu aluminiowego. Rama lakierowana proszkowo na kolor bialy (RAL 9016). Wymiary oprawy (dl. x szer. wys.): 1245 mm, 308 mm, 22 mm. Okalajaca krawedz profilu ramowego ulatwia montaz. Aby stworzyc efekt glebi w suficie, rama oprawy jest wyprofilowana trójwymiarowo. Oprawa moze byc pokryta materialem izolacyjnym w temperaturze ta 25°C, ta35 °C bez materialu izolacyjnego nadaje sie równiez do uzytku. Klasa ochronnosci (EN 61140): I, stopien ochrony (DIN EN 60529): IP20, Stopien ochrony od strony pomieszczenia: IP40, stopien odpornosci na uderzenia wedlug IEC 62262: IK03, temperatura badania rozzarzonym drutem zgodnie z IEC 60695-2-11: 650 °C. Masa: 3,9 kg. Szybkozlacze zabezpieczone przed zamiana biegunów z wyprowadzeniem zasilania do Ø 2,5 mm<H> 2<H>. Podlaczenie statecznika do oprawy za pomoca polaczenia wtykowego (Plug and Play). Koncepcja opakowania oprawy pozwala na oddzielne wyjmowanie zasilacza do montazu wstepnego; pozostale elementy oprawy pozostaja chronione do chwili montazu koncowego. Z zewnetrznym zasilaczem elektronicznym do przelaczania, sciemniania i regulacji barwy swiatla za pomoca sterownika obslugujacego urzadzenia DALI typu 8. Urzadzenie sterujace zgodne ze standardem DALI-2 (EN 62386). Zasilacz jest wymienny zgodnie z wymogami ekoprojektu (rozporzadzenie (UE) 2019/2020). Zasilacz jest odporny na otwarcie obwodu i zabezpieczony przed wadliwym podlaczeniem, zwarciem, przeciazeniem i przegrzaniem. Sfalowanie napiecia wyjsciowego zasilacza < 4% zapewnia efektywne wysterowanie systemu diod LED i oswietlenie bez migotania. Produkt spelnia podstawowe wymogi odnosnych dyrektyw UE i niemieckiej ustawy o bezpieczenstwie produktów i posiada oznaczenie CE. Oprawa wchodzi w sklad serii opraw do wbudowania, do nabudowania i wiszacych o skoordynowanym wygladzie. Róznorodnosc zastosowan tej rodziny produktów jest dodatkowo podkreslana przez rózne poziomy strumienia swietlnego, chara ArimoFit G2 Act M57 D-WW 42-8 ETDD8 (TOC 8172162): Luminaire encastré LED rectangulaire, à diffuseur translucide D-WW. Version M57 (312,5 mm x 1 250 mm). Luminaire avec équipement Active pour la commande de la température de couleur au moyen d’un dispositif de commande séparé. Le luminaire peut être équipé en option d’un système d’éclairage de secours à encastrer au plafond, fonctionnant trois heures. Flux lumineux du luminaire en mode de fonctionnement d’éclairage de secours 500 lm. Création d’un effet d’espace profond. Convient pour une utilisation dans les entreprises certifiées HACCP, IFS et/ou BRC Global Standard Food (DIN 10500). Pour faux plafonds à ossature apparente. .. En combinaison avec des accessoires à commander séparément, convient pour des ouvertures de plafond sciées ainsi que pour un montage en saillie à ras du plafond. Le système optique se compose d’une vasque en PMMA translucide, anti-jaunissement au degré de transmission élevé. La surface du recouvrement lisse ne présente aucune structure visible, microprismatique. Réflecteur à répartition asymétrique des intensités lumineuses. Effet lumineux harmonieux grâce à une sortie de lumière uniformément éclairée. Personnalisation de la surface de sortie de lumière (notamment par impression) et autres solutions spéciales, possibles sur demande. Panneaux LED équipés de LED à température de couleur blanc chaud et blanc lumière du jour. Les indications suivantes relatives au flux lumineux du luminaire et à la puissance raccordée du système valent pour un fonctionnement de ce luminaire à une température de couleur au réglage dynamique (HCL) et fonctionnant à une température de couleur blanc chaud (2 700 K). Flux lumineux du luminaire 4200 lm, puissance raccordée 40,00 W, rendement lumineux du luminaire 105 lm/W. Teinte de lumière variable (blanc chaud - blanc lumière du jour), température de couleur (CCT) variable (2 700 K - 6 000 K), indice général de rendu des couleurs (IRC) Ra > 80. Durée de vie assignée moyenne L80(tq 25 °C) = 100.000 h, Durée de vie assignée moyenne L90(tq 25 °C) = 50.000 h. La source lumineuse est remplaçable conformément aux exigences d'écoconception (Règlement (UE) 2019/2020). Corps de luminaire en profilé d’aluminium extrudé. Cadre, laquage par poudre, blanc (RAL 9016). Dimensions (L x l x H) : 1245 mm, 308 mm, 22 mm. Le bord périphérique du profilé de cadre facilite le montage. Pour créer un effet de profondeur au plafond, le cadre du luminaire dispose d’un profilé tridimensionnel. Le luminaire pêut etre recouvert d'un matériau isolant à ta 25°C, ta35 °C sana matériau isolant également utilisable. Classe électrique (EN 61140) : I, indice de protection (norme EN 60529) : IP20, Indice de protection par le dessous : IP40, degré de résistance aux chocs selon la norme CEI 62262 : IK03, température d’essai au fil incandescent selon la norme CEI 60695-2-11 : 650 °C. Poids: 3,9 kg. Raccordement rapide à protection contre l’inversion de polarité, à repiquage secteur jusqu’à Ø 2,5 mm². Raccordement du ballast au luminaire au moyen d’un connecteur (Plug-and-Play). Le concept d’emballage du luminaire permet de retirer séparément l’appareillage pour son prémontage, les autres composants du luminaire restant protégés jusqu’à leur montage final. À driver externe pour la commutation, la gradation et la commande de la température de couleur au moyen d’un dispositif de commande DALI de type 8. Appareillage conf. au standard DALI 2 (EN 62386). L'appareillage est remplaçable conformément aux exigences d'écoconception (Règlement (UE) 2019/2020). Appareillage protégé contre le mode à vide, les raccordements incorrects, les courts-circuits, surcharges et surtempératures. Ondulation de sortie de l’appareillage < 4 % pour une commande efficace du système LED et une lumière sans scintillement. Le produit répond aux exigences essentielles des directives européennes applicables et de la loi sur la sécurité des produits et porte le marquage CE. Ce luminaire fait part ArimoFit G2 Act M57 D-WW 42-8 ETDD8 (TOC 8172162): Apparecchio rettangolare a LED da incasso con diffusore di copertura traslucido D-WW. Versione M57 (312,5 x 1250 mm). Apparecchio con equipaggiamento Active per la gestione del colore della luce mediante unità di controllo separata. In via opzionale, l'apparecchio può essere dotato di un sistema di illuminazione d'emergenza da incasso a soffitto con una durata operativa di 3 ore. In modalità di illuminazione di emergenza, il flusso luminoso apparecchio è pari a 500 lm. Realizzazione di un effetto spaziale di maggiore profondità. Adatto per l'uso in aziende certificate HACCP, IFS e/o BRC Global Standard Food (DIN 10500). Per soffitti modulari con binari portanti a vista. .. In combinazione con accessori da ordinare separatamente, adatto per l'incasso a soffitto in fori appositi e per il montaggio a plafone a filo con il soffitto. Il sistema ottico è costituito da una copertura traslucida resistente all'ingiallimento in PMMA ad alto coefficiente di trasmissione. La superficie della copertura è liscia e non presenta strutture microprismatiche visibili. Wall washer con diffusione asimmetrica della luce. Effetto luminoso armonico grazie ad una superficie di diffusione luce di una luminosità uniforme. Realizzazione individuale della superficie di distribuzione luce (ad es. con una stampa) e altre soluzioni specifiche al cliente possibili su richiesta. Pannelli LED dotati di LED con luce color bianco caldo e bianco luce diurna. I seguenti dati relativi al flusso luminoso apparecchio e alla potenza allacciata del sistema si riferiscono all'esercizio di questo apparecchio con colore della luce a regolazione dinamica (HCL) in modalità colore della luce bianco caldo (2700 K). Flusso luminoso apparecchio 4200 lm, potenza assorbita 40,00 W, luminosità dell'apparecchio 105 lm/W. Colore della luce variabile (bianco caldo - bianco luce diurna), temperatura del colore (CCT) variabile (2700 - 6000 K), indice di resa cromatica generale (CRI) Ra > 80. Durata utile di riferimento media L80(tq 25 °C) = 100.000 h, Durata utile di riferimento media L90(tq 25 °C) = 50.000 h. La sorgente luminosa è intercambiabile conformemente ai requisiti previsti dal regolamento europeo Ecodesign (2019/2020). Corpo apparecchio in profilato di alluminio estruso. Cornice bianca verniciata a polvere (RAL 9016). Dimensioni apparecchio (L x P x H): 1245 mm, 308 mm, 22 mm. Il bordo perimetrale del profilo del telaio facilita il montaggio. Per creare un effetto profondità sul soffitto, il telaio dell'apparecchio è dotato di un profilo tridimensionale. L'apparecchio puo essere rivestito con materiale isolante a ta 25°C, ta35 °C senza materiale isolante utilizzabile anche. Classe di isolamento (EN 61140): I, grado di protezione (DIN EN 60529): IP20, Grado di protezione verso il locale: IP40, grado di resistenza agli urti a norma IEC 62262: IK03, temperatura della prova al filo incandescente a norma IEC 60695-2-11 di 650 °C. Peso: 3,9 kg. Allacciamento rapido a prova di inversione di polarità con instradamento di rete fino a Ø 2,5 mm². Collegamento del driver all'apparecchio mediante connettore ad innesto (plug and play). Il concetto di imballaggio dell'apparecchio permette di prelevare separatamente l'alimentatore per montarlo prima mentre gli altri componenti dell'apparecchio possono restare protetti fino al montaggio finale. Con alimentatore elettronico esterno per la commutazione, il dimmeraggio e il controllo del colore della luce tramite unità di controllo compatibile con DALI Device Type 8. Alimentatore conforme allo standard DALI-2 (EN 62386). L'alimentatore è intercambiabile conformemente ai requisiti previsti dal regolamento europeo Ecodesign (2019/2020). Alimentatore a prova di funzionamento a vuoto e protetto da collegamento errato, cortocircuito, sovraccarico e temperatura eccessiva. Output Ripple dell'alimentatore < 4 % per un comando efficace del sistema a LED e una luce senza flicker. L'apparecchio soddisfa ArimoFit G2 Act M57 D-WW 42-8 ETDD8 (TOC 8172162): Rechthoekige LED-inbouwarmatuur met translucide afscherming D-WW. Uitvoering M57 (312,5 mm x 1250 mm). Armatuur met Active-uitrusting voor de regeling van de lichtkleur door middel van afzonderlijk stuurapparaat. Optioneel kan de armatuur uitgerust worden met een noodverlichtingssysteem voor plafondinbouw met 3 uur autonomie. In noodverlichtingsmodus bedraagt de armatuurlichtstroom 500 lm. Een dieper ruimte-effect. Geschikt voor gebruik in ondernemingen die gecertificeerd zijn conform HACCP, IFS en/of BRC Global Standard Food (DIN 10500). Voor systeemplafonds met zichtbare draagprofielen. .. In combinatie met afzonderlijk te bestellen accessoires geschikt voor gezaagde plafondopeningen en voor vlakke plafondmontage. Het optisch systeem bestaat uit een translucide niet-vergelende afscherming van PMMA met een hoge lichtdoorlating. Het oppervlak van de afscherming is glad en vrij van zichtbare microprismatische structuren. Wallwasher met asymmetrische lichtverdeling. Harmonieus lichteffect door gelijkmatig verlichte lichtuitstraling. Individuele vormgeving van het lichtuitstralingsvlak (bijvoorbeeld door bedrukking) en andere oplossingen op maat zijn op aanvraag mogelijk. Ledpanels uitgerust met leds in de lichtkleuren warmwit en daglichtwit. De hierna genoemde gegevens met betrekking tot de armatuurlichtstroom en het opgenomen systeemvermogen gelden bij gebruik van de armatuur met dynamisch instelbare lichtkleur (HCL) met de lichtkleur warmwit (2700 K). Armatuurlichtstroom 4200 lm, aansluitvermogen 40,00 W, lichtrendement van de armatuur 105 lm/W. Lichtkleur variabel (warm wit - daglichtwit), kleurtemperatuur (CCT) variabel (2700 K - 6000 K), algemene kleurweergave-index (CRI) Ra > 80. Gemiddelde opgegeven levensduur L80(tq 25 °C) = 100.000 h, gemiddelde opgegeven levensduur L90(tq 25 °C) = 50.000 h. De lichtbron kan vervangen worden overeenkomstig de eisen inzake ecologisch ontwerp (EU-Verordening 2019/2020). Armatuurbehuizing van profiel uit geëxtrudeerd aluminium. wit gepoederlakt frame (RAL 9016). Armatuurafmetingen (L x B x H): 1245 mm, 308 mm, 22 mm. De rondomlopende rand van het frameprofiel vergemakkelijkt de montage. Om een diepte-effect te creëren in het plafond is het armatuurframe driedimensionaal geprofileerd. Armatuur kan worden bekleed met isolatiemateriall bij ta 25°C, ta35 °C zonder isolatiemateriaal ook bruikbaar. Beschermcategorie (EN 61140): I, beschermklasse (DIN EN 60529): IP20, Beschermklasse aan de zijde van de ruimte: IP40, slagvastheid overeenkomstig IEC 62262: IK03, testtemperatuur gloeidraadtest conform IEC 60695-2-11: 650 °C. Gewicht: 3,9 kg. Tegen verkeerde polariteit beveiligde snelaansluiting met doorlusvoorziening voor bedrading tot Ø 2,5 mm². Aansluiting van het voorschakelapparaat op de armatuur door middel van stekerverbinding (plug-and-play). Het verpakkingsconcept maakt het mogelijk het hulpapparaat afzonderlijk uit de verpakking te nemen en vooraf te monteren, terwijl de overige bestanddelen van de armatuur beschermd in de verpakking blijven tot ook zij gemonteerd worden. Met een extern, elektronisch hulpapparaat voor schakelen, dimmen en regelen van de lichtkleur via een DALI-Device Type 8-compatibel stuurapparaat. Hulpapparaat volgens DALI-2-standaard (EN 62386). Het hulpapparaat kan vervangen worden overeenkomstig de eisen inzake ecologisch ontwerp (EU-Verordening 2019/2020). Hulpapparaat nullastbestendig en beveiligd tegen verkeerde aansluiting, kortsluiting, overbelasting en oververhitting. uitgangsrimpel van het hulpapparaat < 4 % voor de effectieve aansturing van het LED-systeem en flikkervrij licht. De armatuur voldoet aan de fundamentele eisen van de van toepassing zijnde EU-richtlijnen en de productveiligheidswet. Ze is voorzien van een CE-markering. De armatuur maakt deel uit van een assortiment van inbouw-, opbouw- en pendelarmaturen die qua uiterlijk op elkaar afgestemd zijn. Uitvoeringen met verschillende lumenpakketten, li ArimoFit G2 Act M57 D-WW 42-8 ETDD8 (TOC 8172162): Luminaria LED empotrable de forma rectangular con un recubrimiento traslúcido D-WW. Versión M57 (312,5 mm x 1250 mm). Luminaria con equipamiento Active para el control del color de luz a través de un dispositivo de mando separado. Opcionalmente, la luminaria puede equiparse con un sistema de alumbrado de emergencia para un montaje empotrado en techo con un tiempo de funcionamiento de 3 horas. En el modo de funcionamiento de alumbrado de emergencia el flujo luminoso de luminaria es de 500 lm. Creación de un mayor efecto de profundidad. Apto para su uso en empresas con certificación HACCP, IFS y/o BRC Global Standard Food (DIN 10500). Para techos del sistema con perfiles vistos. .. En combinación con los accesorios a pedir por separado, apto para techos lisos y para un montaje adosado al ras del techo. El sistema óptico está compuesto por un recubrimiento traslúcido anti-amarilleo de PMMA con un alto grado de transmisión. La superficie del recubrimiento es lisa y está libre de estructuras microprismáticas visibles. Bañador de pared con una distribución asimétrica de las intensidades luminosas. Un efecto armonioso de la luz gracias a la salida de luz totalmente uniforme. A petición son posibles el diseño individual de la superficie de salida de la luz (por ejemplo, por estampa) y otras soluciones especiales. Panel de LED con lámparas LED de color de luz blanco cálido y blanco de luz diurna. Los siguientes datos sobre el flujo luminoso de las luminarias y de la potencia conectada del sistema se refieren a la operación de esta luminaria con un color de luz de ajuste dinámico (HCL) en el modo de servicio con un color de luz blanco cálido (2700 K). Flujo luminoso de las luminarias 4200 lm, potencia conectada 40,00 W, rendimiento luminoso de la luminaria 105 lm/W. Color de luz variable (color blanco cálido - color blanco luz diurna), temperatura del color (CCT) variable ( 2.700 K - 6000 K), indice de reproducción cromática general (CRI) Ra > 80. Vida útil nominal media L80(tq 25 °C) = 100.000 h, Vida útil nominal media L90(tq 25 °C) = 50.000 h. La fuente de luz puede ser sustituida acorde con los requisitos del diseño ecológico (VO (UE) 2019/2020). Cuerpo de luminaria fabricado de un perfil extruido de aluminio. Marco lacado en polvo de color blanco (RAL 9016). Medidas de la luminaria (L x A x A): 1245 mm, 308 mm, 22 mm. El borde circundante del perfil del marco facilita el montaje. Para crear un efecto de profundidad en el techo, el marco de luminaria está perfilado. La luminaria puede cubrirse con material aislante a ta 25°C, ta35 °C sin meterial aislante también utilizable. Clase de protección (EN 61140): I, grado de protección (DIN EN 60529): IP20, Grado de protección hacia el local: IP40, grado de la resistencia al impacto según IEC 62262: IK03, temperatura de prueba para el ensayo de hilo incandescente según IEC 60695-2-11: 650 °C. Peso de: 3,9 kg. Conexión rápida protegida contra la polarización inversa con cableado suplementario de hasta Ø 2,5 mm². Conexión del balasto electrónico en la luminaria a través de una conexión de enchufe (Plug and Play). El concepto de embalaje de la luminaria permite sacar el equipamiento eléctrico por separado para el montaje previo y los demás componentes de la luminaria quedan protegidos hasta el montaje final. Con equipamiento electrónico externo para conmutar, regular y controlar el color de luz a través de un dispositivo de mando apto para DALI Device Type 8. Equipamiento eléctrico según el estándar DALI-2 (EN 62386). El equipamiento eléctrico puede sustituirse según los requisitos del diseño ecológico (VO (EU) 2019/2020). El equipamiento eléctrico a prueba de circuito abierto está protegido de conexión incorrecta, cortocircuito, sobrecarga y sobrecalentamiento. Ondulación de salida del equipamiento eléctrico < 4 % para el control eficiente del sistema LED y para una luz sin centelleo. El producto cumple con los requisitos básicos de las d 1 40.00 4200.00 4000K 80 1245 308 20 1176 238 0 0 0 0 EULUM TX376396.LDT ![CDATA[TRILUX 2 2 144 2.5 73 2.5 220158B ArimoFit G2 Act M57 D-WW 42-8 ETDD8 (ActDSU) TX376396 04.08.2020-K?stens 1245 308 20 1176 238 0 0 0 0 99.96368 99.9703903198242 1 0 1 1 1 x LED ETDD8 4200 4000K 80 40 .407574940865594 .502528197372197 .571859273685093 .658355042777949 .70833619314415 .769073771092898 .816408860491494 .855482496584927 .880639704663486 .905982285586492 0 2.5 5 7.5 10 12.5 15 17.5 20 22.5 25 27.5 30 32.5 35 37.5 40 42.5 45 47.5 50 52.5 55 57.5 60 62.5 65 67.5 70 72.5 75 77.5 80 82.5 85 87.5 90 92.5 95 97.5 100 102.5 105 107.5 110 112.5 115 117.5 120 122.5 125 127.5 130 132.5 135 137.5 140 142.5 145 147.5 150 152.5 155 157.5 160 162.5 165 167.5 170 172.5 175 177.5 180 182.5 185 187.5 190 192.5 195 197.5 200 202.5 205 207.5 210 212.5 215 217.5 220 222.5 225 227.5 230 232.5 235 237.5 240 242.5 245 247.5 250 252.5 255 257.5 260 262.5 265 267.5 270 272.5 275 277.5 280 282.5 285 287.5 290 292.5 295 297.5 300 302.5 305 307.5 310 312.5 315 317.5 320 322.5 325 327.5 330 332.5 335 337.5 340 342.5 345 347.5 350 352.5 355 357.5 0 2.5 5 7.5 10 12.5 15 17.5 20 22.5 25 27.5 30 32.5 35 37.5 40 42.5 45 47.5 50 52.5 55 57.5 60 62.5 65 67.5 70 72.5 75 77.5 80 82.5 85 87.5 90 92.5 95 97.5 100 102.5 105 107.5 110 112.5 115 117.5 120 122.5 125 127.5 130 132.5 135 137.5 140 142.5 145 147.5 150 152.5 155 157.5 160 162.5 165 167.5 170 172.5 175 177.5 180 555.69 570.68 581.11 590.84 601.47 609.64 615.92 619.1 618.49 613.4 602.8 587.03 564.39 536.15 502.14 464.5 422.42 379.05 336.62 295.96 258.82 226.19 197.04 171.84 150.15 131.29 114.52 99.81 86.1 73.54 61.48 50.28 39.3 29.36 20.46 12.74 6.69 2.51 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 570.63 581.22 590.59 601.3 609.86 615.93 619.19 618.34 612.91 602.34 586.01 564.24 535.51 501.58 463.68 421.68 378.27 336.03 295.42 258.45 225.87 196.81 171.59 150.01 131.16 114.51 99.71 86.04 73.48 61.67 50.21 39.36 29.3 20.44 12.72 6.67 2.49 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 570.56 581.31 590.48 601.1 609.73 615.54 618.28 616.75 611.11 600.88 584.17 562.5 533.19 499.37 461.23 419.15 376.17 334.38 293.7 257.24 224.85 196.09 171.02 149.52 130.81 114.19 99.52 85.87 73.32 61.56 50.16 39.27 29.26 20.38 12.66 6.65 2.48 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 570.46 580.85 590.21 600.79 607.53 613.43 616.24 615.09 609.45 598.56 582.41 559.09 530.47 496.06 458.32 415.94 373.58 331.71 291.78 255.08 223.09 194.87 170.11 148.72 130.29 113.78 99.21 85.61 73.14 61.38 49.99 39.13 29.14 20.28 12.61 6.6 2.44 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 570.35 580.87 589.56 599.47 607.76 613.17 615.47 613.81 607.82 595.84 578.99 555.4 526.2 491.34 453.53 411.81 369.49 328.07 288.66 252.65 221.15 193.27 168.87 147.89 129.59 113.01 98.73 85.24 72.75 61.1 49.77 38.95 28.99 20.16 12.51 6.53 2.39 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 570.23 580.79 589.64 599.17 607.09 611.84 613.73 611.51 604.43 591.89 574.48 550.84 521.03 485.84 447.99 406.75 364.27 323.71 284.95 249.77 218.58 191.34 167.33 146.68 128.72 112.59 98.2 84.7 72.48 60.79 49.48 38.7 28.78 19.98 12.37 6.44 2.33 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 570.11 580.44 589.2 598.59 605.58 610.16 610.76 608.3 600.74 587.6 569.35 544.83 514.61 479.63 441.81 400.44 358.44 318.63 280.58 246.04 215.84 189.07 165.56 145.51 127.71 111.81 97.57 84.28 72 60.38 49.14 38.41 28.53 19.75 12.19 6.31 2.26 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 569.95 579.2 588.82 597.61 604.07 607.78 608.04 604.84 596.23 582.52 563.3 538.21 507.3 472.38 434.37 393.44 352.09 312.66 275.62 242.16 212.92 186.62 163.78 143.97 126.59 110.92 96.81 83.69 71.52 59.9 48.7 38.07 28.24 19.5 12.01 6.18 2.17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 569.74 578.52 587.74 595.81 602.12 605.33 605 600.65 591.46 576.23 556.72 531.08 499.67 463.94 426.1 385.8 345.22 306.49 270.59 238.13 209.67 184.13 161.81 142.43 125.42 109.95 96.03 83.07 71.01 59.49 48.3 37.7 27.92 19.22 11.8 6.03 2.08 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 569.43 578.43 586.79 594.77 600.2 602.44 601.6 596.05 585.43 569.9 549.54 523.04 491.15 455.05 417.37 377.79 338.24 300.61 265.55 233.74 206.31 181.52 159.86 141.02 124.2 108.98 95.34 82.42 70.41 58.96 47.86 37.28 27.55 18.92 11.56 5.86 1.98 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 569.05 578.15 585.63 593.12 598.21 599.56 597.42 590.65 579.57 563.61 541.92 514.24 481.69 446.1 408.83 369.49 330.84 294.36 260.26 229.79 202.88 178.94 157.86 139.4 123.02 108.1 94.51 81.71 69.81 58.39 47.35 36.83 27.16 18.59 11.31 5.69 1.87 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 568.59 577.78 584.88 590.82 595.38 596.38 593.4 585.7 573.81 556.27 533.57 505.47 472.6 436.86 399.59 361.1 323.45 288.04 254.98 225.77 199.71 176.45 155.91 137.82 121.83 107.11 93.67 81.01 69.17 57.85 46.82 36.34 26.74 18.25 11.02 5.51 1.76 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 568.14 577.25 583.52 589.13 592.4 592.91 589.07 580.65 567.2 548.82 524.85 495.67 463.24 427.59 390.46 352.76 316.05 281.69 250.09 221.74 196.8 174.08 154.05 136.42 120.7 106.2 92.86 80.28 68.49 57.22 46.24 35.82 26.31 17.89 10.75 5.3 1.64 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 567.72 576.45 582.01 587.15 589.85 589.03 584.08 574.74 560.27 540.76 516.23 486.44 453.48 417.69 381.77 344.65 308.99 275.72 245.57 218.14 193.85 171.83 152.28 135.16 119.61 105.29 92.06 79.57 67.81 56.57 45.64 35.25 25.86 17.49 10.44 5.09 1.52 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 567.3 575.65 580.96 584.67 586.37 584.82 578.45 567.83 552.9 531.97 506.99 477.27 443.67 408.76 372.9 336.77 302.4 270.45 241.18 214.8 191.12 169.84 150.79 133.96 118.56 104.39 91.27 78.85 67.17 55.94 45.02 34.7 25.38 17.1 10.14 4.88 1.4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 566.87 574.48 579.57 582.54 583.12 580.61 573.63 561.69 545.63 523.82 497.76 467.94 434.45 399.5 364.19 329.13 296.02 265.34 237.09 211.7 188.81 168.03 149.38 132.73 117.5 103.55 90.49 78.14 66.49 55.28 44.44 34.2 24.88 16.68 9.81 4.65 1.28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 566.45 573.52 578.49 580.3 579.88 576.2 568.28 555.5 538.01 515.85 489.04 458.24 424.44 390.03 355.83 321.83 289.95 260.45 233.33 208.86 186.67 166.26 147.97 131.57 116.48 102.72 89.72 77.41 65.79 54.6 43.8 33.62 24.37 16.25 9.49 4.42 1.15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 566.1 572.49 577.07 577.81 576.41 571.5 562.48 548.5 529.78 506.77 479.88 448.77 415.36 381.29 347.52 314.98 284.26 255.81 229.75 206.25 184.62 164.7 146.72 130.46 115.56 101.88 88.94 76.64 65.05 53.92 43.15 33.01 23.84 15.81 9.15 4.19 1.03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 565.77 571.48 575.12 575.09 572.88 566.97 556.68 541.59 522.04 498.32 470.69 439.41 406.05 372.99 340.24 308.49 279.03 251.74 226.61 203.86 182.72 163.22 145.54 129.45 114.72 101.05 88.16 75.91 64.35 53.23 42.48 32.39 23.31 15.37 8.81 3.94 .91 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 565.44 570.4 573.28 572.81 569.01 562.42 550.88 534.93 514.58 490.19 461.66 430.11 397.25 364.79 332.81 302.17 273.98 247.87 223.86 201.67 180.94 161.79 144.43 128.5 113.81 100.15 87.34 75.18 63.63 52.49 41.8 31.79 22.77 14.9 8.46 3.7 .8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 565.02 569.4 571.75 570.43 565.66 557.55 545.06 527.76 506.62 481.58 452.74 421.17 388.89 357.13 326.03 296.6 269.49 244.36 221.14 199.57 179.25 160.37 143.28 127.5 112.83 99.21 86.43 74.36 62.87 51.76 41.08 31.15 22.23 14.44 8.1 3.44 .69 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 564.41 568.07 570.02 567.97 562.08 552.66 539.3 521.24 499.13 473.43 444.21 412.73 380.65 349.46 319.36 290.86 265.02 241.06 218.53 197.53 177.6 159.04 142.12 126.46 111.86 98.27 85.49 73.51 62.13 51.03 40.35 30.47 21.65 13.96 7.75 3.21 .58 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 563.7 566.9 567.93 565.45 558.45 548 533.78 514.81 491.7 465.19 435.85 404.53 372.88 342.4 313.18 285.71 260.83 237.55 215.73 195.48 175.97 157.61 140.89 125.34 110.82 97.31 84.58 72.66 61.28 50.19 39.6 29.8 21.06 13.47 7.38 2.96 .48 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 562.95 565.64 565.89 562.81 554.96 543.3 528.01 508.28 484.1 456.91 427.3 396.18 365.47 335.79 307.39 280.96 256.95 234.43 213.34 193.54 174.28 156.09 139.52 124.13 109.72 96.28 83.63 71.79 60.45 49.39 38.84 29.14 20.48 12.99 7.03 2.71 .39 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 562.2 564.26 563.85 560.06 551.38 538.83 522.5 501.58 476.89 449.2 419.13 387.81 357.89 329.36 301.95 276.69 253.36 231.43 211.01 191.54 172.6 154.69 138.2 122.83 108.49 95.15 82.62 70.87 59.61 48.62 38.11 28.45 19.87 12.5 6.67 2.46 .3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 561.59 562.81 561.49 557.16 547.99 534.35 516.75 494.99 469.97 442.36 412.2 380.76 350.88 323.17 296.69 272.23 249.82 228.65 208.61 189.43 170.84 153.21 136.84 121.51 107.2 93.99 81.6 69.88 58.66 47.77 37.35 27.76 19.26 12 6.31 2.22 .23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 561.02 561.42 559.31 554.18 544.35 530.03 511.29 488.8 463.38 435.26 404.91 374.12 344.76 317.28 291.57 267.93 246.24 225.67 206.13 187.14 168.7 151.38 135.27 120.16 106.05 92.89 80.49 68.82 57.69 46.88 36.55 27.06 18.65 11.5 5.95 1.98 .16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 560.46 560.36 557.47 551.1 540.51 525.27 505.94 482.85 456.94 428.03 397.47 367.36 338.87 311.55 286.34 263.56 242.5 222.66 203.56 184.91 166.66 149.43 133.55 118.71 104.79 91.73 79.35 67.76 56.72 45.98 35.73 26.35 18.05 11.01 5.59 1.75 .1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 559.87 559.33 555.1 547.98 536.72 520.86 500.94 477.23 450.57 421.43 391.24 361.18 332.97 306.36 281.66 259.74 239.14 219.53 200.93 182.52 164.58 147.68 131.94 117.18 103.35 90.4 78.21 66.72 55.69 44.99 34.87 25.63 17.42 10.5 5.23 1.51 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 559.24 558.18 552.71 544.97 533.05 516.38 495.98 471.56 444.34 415.28 385.13 355.2 327.17 301.5 277.68 256.07 235.77 216.54 198.25 180.18 162.54 145.89 130.28 115.61 101.9 89.03 76.99 65.64 54.65 44.01 34 24.9 16.8 10.01 4.89 1.29 .01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 558.6 556.81 551.17 542.12 528.86 512.04 490.9 466.02 438.61 409.43 379.18 349.48 321.55 296.46 273.21 252.08 232.62 213.5 195.43 177.49 160.23 143.93 128.52 113.96 100.46 87.75 75.8 64.51 53.62 43.07 33.14 24.15 16.18 9.53 4.55 1.08 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 557.99 555.25 548.94 539.33 524.71 507.7 485.84 460.6 433.05 403.65 373.63 343.97 316.6 291.86 269.09 248.29 229.17 210.75 192.84 175.1 157.9 141.85 126.65 112.29 99.01 86.47 74.61 63.36 52.54 42.05 32.23 23.39 15.57 9.04 4.21 .88 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 557.38 553.92 546.92 536.65 521.68 503.39 480.96 455.35 427.23 397.95 368.09 338.7 311.92 287.55 265.27 244.93 225.99 207.76 189.96 172.69 155.74 139.84 124.81 110.63 97.55 85.14 73.33 62.19 51.48 41.06 31.34 22.61 14.93 8.58 3.9 .68 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 556.78 552.99 545.35 533.94 518.62 498.81 476.14 450.29 422.12 392.45 362.54 333.24 307.12 283.14 261.29 241.01 222.65 204.73 187.32 170.19 153.53 137.81 123.03 109.01 96.07 83.79 72.09 61.08 50.41 40.09 30.46 21.84 14.28 8.09 3.58 .49 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 556.17 551.93 543.19 531.28 515.22 494.94 471.42 445.44 417.27 387.24 357.22 327.87 302.74 278.68 257.38 237.59 219.39 201.66 184.55 167.57 151.18 135.69 121.18 107.36 94.54 82.4 70.92 60.01 49.32 39.08 29.57 21.07 13.63 7.61 3.27 .32 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 555.48 550.67 540.79 528.76 511.96 491.51 467.81 440.67 412.06 382.2 352.34 323.6 298.5 274.63 253.55 234.32 215.99 198.54 181.42 164.77 148.78 133.52 119.2 105.69 93.06 81.06 69.71 58.86 48.26 38.11 28.71 20.31 12.99 7.14 2.96 .15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 554.75 549.39 538.89 526.26 508.82 487.94 463.54 436.02 407.07 377.7 347.74 319.27 294.23 270.8 249.71 230.44 212.42 195.12 178.71 162.18 146.37 131.42 117.31 104.03 91.61 79.75 68.5 57.74 47.24 37.16 27.83 19.57 12.39 6.69 2.67 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 554.07 548.2 537.29 523.86 506.04 484.67 459.66 432.06 402.59 372.99 343.13 315.14 290.2 266.96 246.05 226.79 209.44 192.36 175.87 159.59 144.01 129.38 115.44 102.3 90.1 78.42 67.33 56.63 46.19 36.2 27.02 18.9 11.82 6.28 2.36 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 553.46 547.02 535.59 521.42 503.23 481.53 456.23 428.17 398.72 368.39 339.03 311.42 286.34 263.14 242.62 223.9 206.19 189.3 173 156.98 141.64 127.22 113.61 100.72 88.68 77.13 66.14 55.53 45.2 35.28 26.27 18.22 11.28 5.88 2.07 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 552.9 545.79 534.01 518.98 500.27 478.32 452.81 424.43 394.95 364.97 335.23 307.63 282.46 259.32 238.99 220.47 202.99 186.31 170.17 154.42 139.36 125.22 111.89 99.23 87.31 75.86 64.98 54.48 44.24 34.43 25.5 17.55 10.75 5.47 1.8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 552.38 544.53 532.62 516.85 497.8 475.12 449.78 421.3 391.59 361.42 331.94 304.15 278.96 256.11 235.66 217.2 199.8 183.19 167.39 151.8 137.12 123.19 110.09 97.69 85.92 74.61 63.85 53.42 43.27 33.59 24.75 16.89 10.21 5.07 1.55 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 551.86 543.33 531.03 514.9 495.58 472.19 446.74 418.22 388.81 358.58 328.77 301.1 276.03 253.15 232.74 214.31 196.96 180.57 164.78 149.46 134.99 121.26 108.34 96.14 84.55 73.41 62.73 52.36 42.31 32.75 24.01 16.23 9.67 4.67 1.31 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 551.33 542.26 529.37 513.05 493.26 469.84 443.64 415.33 385.41 355.58 325.83 298.22 273.17 250.11 229.71 211.37 194.06 177.73 162.13 147.07 132.83 119.5 106.73 94.66 83.2 72.23 61.65 51.38 41.41 31.92 23.25 15.57 9.15 4.3 1.11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 550.78 541.32 528.02 510.97 490.97 467.58 441.28 412.86 382.41 352 322.96 295.61 270.36 247.45 227.06 208.51 191.26 174.99 159.5 144.75 130.81 117.73 105.17 93.28 81.95 71.07 60.61 50.46 40.52 31.07 22.49 14.92 8.65 3.93 .92 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 550.24 540.31 526.83 508.94 489.09 465.29 439.12 410.52 380.07 349.38 320.31 293.04 267.67 244.75 224.33 205.75 188.56 172.51 157.19 142.61 128.89 115.92 103.61 91.92 80.71 69.95 59.62 49.51 39.6 30.24 21.76 14.3 8.17 3.59 .76 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 549.73 539.17 525.39 507.58 487.26 463.56 436.95 408.37 377.9 347.07 317.89 290.49 265.2 242.24 221.64 203.06 185.97 170.05 154.86 140.34 126.87 114.18 102.05 90.55 79.47 68.83 58.6 48.53 38.69 29.42 21.04 13.69 7.7 3.26 .62 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 549.24 538.13 524.04 506.37 485.49 462 434.93 406.33 376.46 345.65 315.99 288.3 262.94 239.94 219.05 200.22 183.18 167.46 152.53 138.25 125 112.53 100.57 89.22 78.29 67.75 57.58 47.57 37.79 28.62 20.34 13.1 7.26 2.96 .5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 548.81 537.28 522.83 505.01 483.93 460.24 433.15 404.33 374.7 344.25 314.45 286.41 260.73 237.75 217.02 198.17 181.02 165.24 150.37 136.3 123.19 110.89 99.14 87.93 77.16 66.75 56.63 46.65 36.92 27.85 19.68 12.55 6.85 2.68 .39 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 548.35 536.35 521.67 503.67 482.29 458.47 431.66 402.73 373.13 342.76 313.05 284.91 258.84 235.71 214.94 195.93 178.71 163.08 148.32 134.39 121.47 109.34 97.78 86.72 76.06 65.74 55.66 45.73 36.09 27.1 19.02 12.01 6.45 2.41 .3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 547.8 535.45 520.54 502.44 480.86 456.76 430.47 401.5 371.65 341.47 311.76 283.69 257.5 233.98 212.85 193.7 176.65 160.98 146.26 132.6 119.91 107.9 96.49 85.56 74.97 64.73 54.72 44.85 35.29 26.41 18.4 11.49 6.07 2.16 .23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 547.22 534.65 519.46 501.06 479.87 455.35 429.3 400.78 370.71 340.46 310.58 282.41 256.37 232.45 211.04 191.97 174.84 159.11 144.38 130.84 118.37 106.54 95.27 84.47 73.96 63.78 53.83 44 34.52 25.71 17.8 11 5.72 1.93 .16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 546.74 533.96 518.52 499.74 478.87 454.65 428.24 400.14 370.02 339.52 309.78 281.45 255.19 231.2 209.68 190.36 173.01 157.22 142.63 129.25 116.9 105.22 94.13 83.42 73 62.86 52.95 43.19 33.77 25.06 17.24 10.54 5.39 1.72 .11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 546.32 533.34 517.42 498.79 477.62 453.81 427.45 399.29 369.23 338.68 309.24 280.95 254.3 229.7 208.02 188.82 171.33 155.48 141.09 127.88 115.57 103.97 93.02 82.39 72.03 61.99 52.14 42.43 33.05 24.42 16.69 10.11 5.08 1.52 .06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 546.04 532.7 516.48 497.94 476.6 452.87 426.46 398.37 368.67 338.33 308.63 280.29 253.52 228.8 206.87 187.52 170 154.16 139.76 126.57 114.36 102.81 91.95 81.43 71.15 61.21 51.39 41.72 32.41 23.83 16.18 9.7 4.8 1.34 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 545.76 531.97 515.62 497.08 475.71 452.1 425.65 397.72 368.45 338.35 308.27 279.69 252.73 228.17 206.18 186.41 168.86 153 138.53 125.36 113.22 101.8 91 80.55 70.36 60.46 50.66 41.01 31.79 23.28 15.69 9.32 4.53 1.18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 545.38 531.23 514.57 496.11 475.03 451.4 425.48 397.65 368.39 338.03 308.25 279.38 252.46 227.92 205.62 185.52 167.82 151.91 137.42 124.31 112.25 100.92 90.15 79.71 69.58 59.74 50.02 40.4 31.2 22.76 15.25 8.96 4.28 1.03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 544.96 530.54 513.52 495.08 474.12 450.76 425.35 397.72 368.52 337.92 308.54 279.98 252.7 227.4 204.74 184.73 166.98 150.97 136.47 123.34 111.37 100.08 89.34 78.95 68.86 59.06 49.38 39.81 30.65 22.27 14.82 8.63 4.06 .89 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 544.59 529.97 512.75 494.47 473.3 450.27 425.06 397.69 368.67 338.33 309.11 280.07 252.73 227.46 204.52 184.12 166.3 150.23 135.66 122.49 110.54 99.29 88.62 78.24 68.18 58.43 48.79 39.24 30.14 21.8 14.42 8.33 3.85 .77 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 544.26 529.51 512.1 493.61 472.99 449.97 425.05 397.84 368.92 338.24 309.38 280.71 253.11 227.6 204.63 183.87 165.83 149.66 135.03 121.86 109.88 98.61 87.93 77.59 67.6 57.91 48.28 38.74 29.66 21.38 14.06 8.04 3.66 .65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 544 529.08 511.59 493.06 472.76 449.69 424.99 398.12 369.31 339.52 310.3 281.41 253.65 227.92 204.62 183.86 165.61 149.26 134.54 121.41 109.37 97.97 87.34 77.03 67.13 57.42 47.76 38.26 29.23 21.02 13.73 7.79 3.49 .55 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 543.79 528.67 511.52 492.86 472.52 449.54 424.59 398.31 369.4 340.24 310.89 282.02 254.27 228.55 204.71 183.87 165.46 148.92 134.16 120.92 108.89 97.48 86.91 76.53 66.65 56.93 47.25 37.81 28.84 20.67 13.44 7.56 3.33 .46 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 543.57 528.37 511.34 492.53 472.09 449.43 424.61 398.29 370.26 340.89 311.78 282.83 254.99 229.07 205 184 165.39 148.66 133.89 120.43 108.44 97.14 86.5 76.16 66.26 56.57 46.86 37.41 28.48 20.35 13.16 7.35 3.19 .38 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 543.36 527.87 510.8 492.03 471.65 449.39 425.29 397.86 370.3 341.73 312.66 283.72 255.58 229.44 205.51 184.35 165.47 148.67 133.75 120.23 108.08 96.76 86.13 75.86 65.91 56.2 46.59 37.06 28.14 20.05 12.91 7.15 3.05 .31 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 543.13 527.16 509.95 491.83 471.52 449.31 425.31 398.99 371.12 342.15 313.5 284.65 256.28 230.15 206.19 184.73 165.51 148.77 133.68 120.26 107.89 96.5 85.84 75.51 65.56 55.87 46.25 36.79 27.85 19.79 12.69 6.98 2.94 .25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 542.89 526.47 509.18 491.48 471.18 449.03 424.88 399.65 372.06 342.76 314.56 285.62 257.22 230.99 206.77 184.98 165.84 148.75 133.65 120.12 107.73 96.32 85.62 75.24 65.2 55.54 45.96 36.5 27.55 19.56 12.49 6.83 2.84 .19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 542.64 526.14 508.98 491.19 470.55 448.86 425.37 399.97 372.68 343.83 315.6 286.46 258.03 231.51 207.39 185.47 166.41 148.96 133.58 120.06 107.56 96.16 85.44 75.05 65.01 55.26 45.68 36.25 27.38 19.37 12.31 6.7 2.76 .15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 542.42 526.17 508.94 491.06 470.72 449.11 426.05 400.35 372.92 344.73 316.35 287.11 258.92 232.31 208.16 186.13 166.57 149.31 133.58 120.06 107.52 96.02 85.26 74.81 64.88 55.14 45.41 36.02 27.18 19.2 12.17 6.6 2.69 .11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 542.28 526.24 508.94 490.86 470.92 449.3 426.09 400.73 373.18 345.19 316.87 287.94 259.88 233.47 208.71 186.38 166.83 149.5 133.77 120.07 107.39 95.89 85.12 74.6 64.71 54.96 45.28 35.85 27.01 19.05 12.04 6.51 2.62 .07 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 542.19 526.28 508.98 490.82 470.85 449.37 425.9 401.06 373.97 345.56 317.59 288.84 260.52 234.02 209.22 186.68 167.34 149.64 134 120.1 107.52 95.82 85.04 74.57 64.58 54.78 45.13 35.7 26.84 18.92 11.95 6.43 2.58 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 542.19 526.24 508.93 490.67 470.66 449.5 426.1 401.4 374.81 346.17 318.43 289.37 261.11 234.36 209.65 187.3 167.52 149.62 134.05 120.07 107.51 95.76 84.95 74.46 64.46 54.68 45.04 35.58 26.76 18.8 11.86 6.37 2.55 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 542.22 526.15 508.87 490.18 470.66 449.58 426.61 401.59 375.07 346.72 318.8 289.8 261.41 234.45 210.02 187.55 167.56 149.7 133.96 120.02 107.47 95.63 84.84 74.4 64.4 54.53 44.97 35.5 26.68 18.75 11.8 6.33 2.52 .01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 542.33 526.08 508.94 489.52 470.74 449.45 426.82 401.65 375 346.4 319.06 290.03 261.37 234.76 210.19 187.69 167.9 149.8 134.19 120.17 107.29 95.71 84.89 74.37 64.35 54.54 44.84 35.44 26.63 18.7 11.76 6.29 2.51 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 555.69 542.38 526.05 509.07 489.24 470.68 449.41 426.77 401.61 373.84 346.9 319.13 290.11 261.83 235.17 210.23 187.73 167.93 150.02 134.18 120.17 107.47 95.72 84.85 74.35 64.36 54.55 44.88 35.43 26.54 18.63 11.75 6.29 2.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ]] JPEG ArimoFit_G2_M59_DB_WEB.jpg /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8S EhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEU Hh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAAR CAQABAADASIAAhEBAxEB/8QAGwABAQEBAQEBAQAAAAAAAAAAAQACBAUDBgf/xAA9EAACAQMD AwIEAwgCAgIBBQEAAREhMUECA1EEYXEFgRKRobEiUtEGEyMyQmLB4TNy8PEUgkQVQ2Nzg5L/ xAAVAQEBAAAAAAAAAAAAAAAAAAAAAf/EABYRAQEBAAAAAAAAAAAAAAAAAAARAf/aAAwDAQAC EQMRAD8A/uSJDArJQQ0MEahkApqKUikS4KAYKFIoCRQNYgVMtAA4JK4pASJJ2GBQASHBKJAk iXYYpQUqAC4GKCl2KPcAXY0kk2KQpThgGnMsqxA1zm5qKWsBlL5YFJz8QwoqaSvEgZSTJWsb SpwKWAMpKIqMS54FKGxgAQ8ilVkrASUIiGABK5GvckqdwMpUFCggBA1FCVwAhRARRCFdwAoh FHFhRIAUMkawCsBRQigUsgBIUSQBFCVh5LFwASzFCirAoBGooCCKC7kkKCghSBICRFAgCIhv kDMFF6GgSpUARCQAUCQGS5NRUKZAFYeSuWADuVRRAZKKGoKLgZIfJcgZiZKyNNUD6gEFgeaF gAQJRIl2AzD8kaQcgZ+HAWNhCdAMtZMtNy0j6QEAYjARCNw6hEJgYaCO8n0ahGYpEgYSryEQ zeqVBlqQMpfh5CKNm8XCLsDBQ4NJUm4Ne4GYuBtoy1SQDIRCZpZIDOLhg0ABFIBQIAEAzaMw BloGbCKAZV+QNQEAGDJuAoBldzPJsIAzAGqklyBiGwaN4ADEUMn0h+QgD7wKsUfMUBIhSYgS sy9qCSUASTrYoiWhFIASoSgUUZAkNl5FZkkmAIVYUSAlwKQpKJICSTYpKIkUo7Fa1gCK8Gmn Nrkkp5NJUdQCE0OlNCl2NJMDKWUhS7CsCsgCVfAxNbClgYAIqSQq0klwBKKsVQohCrAFYKDS BxIEQqxAUFBLuIAiSqKVSAOcD7ksjyALkhhFEoC9iVEUDpQAQpEggRDCLkAY1qKIA7EkxS5I AwUCUKAASQpeArJQmMcCECBGkgwBElHceSAzBdzUIAJooGKVIDJQKIAvQo7CqYGAMwUDkgCo JXNRBBWSg0l8g5yAdiQgBMEhvJYAEUTkSdgClQg0u4QAZJISQA7ZCLiQAXZjBAZKKsYIDJK4 8l4AzGAhGoIDEexNGwgDEVrJmHVzPY+nJNID5uZsYWk+rowaTQHztdhELhm8xTuDV3Fu4GGq BHg3FJCI5AxSShRc01QyAclAwEUdQCKBgY+RWAyHJouzAzAc0NAlfIGYa4I15CKPkDIQawEA ZgHEGrSAGYLlwaADNYCKmgAzF2EcGrphFQPuhXYVYtNwISQoCJLuKKMoCQr5khgAgUqsUiQA lNxUJCsiqrwAYFVoxSmfqK0y/AAlT/Iw1cfhY6dNe4Al2yKVZp7il2pwK00csCVMDCag1pXy GKy4AFJKjiLmlklYAVBVij3FKoAKyJLIAhQooAIFIlQfAQEoHFRQVnFhGKFyARBZYpZGABEK VSSwAcjgkqQMMIEmSQ4LwACigewBBJCUcARKLkrkBANeSQVJEplyKtABEl3LHcYuQAUVFJTB YAoBCQErSRFgC7BFBKGBAKJAEUGKdywIAgxQUQBgsCu5PkArJDEABRcl3LAoDJKw+5NACLAp FgASBQaiA7gBR3HmpJQAEUewtZIMwQkVWUUGgAFYEaJdwM5JZH2LkASCBhlWoBhhBqKEwMRQ jUBYDKVyNRAR8gMQT+ZuEC01A+ftRXD4X4PpHcGuQPmk1SUD7H0iljL0sDEOxmK3+hv4XDkI kDNa0kzHJtpS4sAGYhg+xqypYIAyUGmCAzBRRsY7hVUAMh2HBOwGYpcIg1BUAxBQaiQAy0gR pJKoYAzAVmDRMDEEai9wihB94JIVJRW9ihRLuUDFAJLuKLsSnAEhRJErASSqxUZFS6ml2QAl Ul4o8GlpoPwwoAIo6QSSi5pLlDp0qqYEl2mgr3HSvsKXIAlIwx09hQAl3GMjFSSeQJKStYjS AKwSV6lHyNAEckkKVygA7iskpEASEu5BEi7GkqhCAkQqxACFFBASSIeSigAkKJKnYe8gBRwU FyBIURcgQc3GaWJASVCKJFBQQpErABIV5TLIAWB5JWAKjApFRABEiSAlahDFCxMAEEiFLJAI ooNIoRQJUIexRUDIwMYLABAcmgSAEQrJYYAiXAlyEFCwIKwEigi8gCpJXEsABWqK7BABAlkU BnsXjAkkBlIhgQMwCFZEKy1QoFooAzWSEoAyoI1HAWAAqaRIDIGoLFgMtfMlPI3BgZjwTXY1 GSgDDMteTcFFwPmDUG54yDVaoD5rMwDXeT6QZ5YGO6CLm8WyZurVAzGMh2NvlcmWn8wMwEdq GooQGQGEXYDOCuhBgAQaQKwGYA3SAwBmKMIGKA0BmPkUGooFwPul7CiQoAjkcDBLNgCOxqP/ AGOn7kr5gA+FpClTuN1Jq3EgCX+xWlQ7ilR1NaVT2ANMx7Ck5pYUuwpZAqwKVCSNe4AlzUYJ IY4AEh9hgkgJEiQruBKpRQUiQESFeCAMCQgCzQoHTkgJIlwKKGESTgldksiALIokMfQAgsiV wKOxFkgLBQSGgUClQVmSQBkiGADFCxkYyQF5KhQKAFkiwViC7klRyXkYkAFJklRlRZACQ+xf MCsRclFAIiEASREnA8gH0DEDyMSgC5XKCAFaSRrAAEXLAlAAQlABBQ7jBYsARAChhAAZiBLu AJFAlBRmyJVNRQLAFA7mooQBGAHyVJCBdyGOxYAANAwBcgaKzAyvYhrDACgPaTQQAR+EIY5J AHIGgwFEByaIDPYP8GoJoDOLAlQ0sgBmKBHc1BJXAw1RwEKKo+isZaqB82rwZc2R9GqQkDXY D5tUoHz+RtpoIAwlKoEUNtMy1cDEULBpTUImZAyQ8lEoDMUCKGmggDNCxYSAz7hU0s9wgDLQ RQ005AD7pSMVJKOxYgCj6GkqBpzg0kogAhmkrOhRWhtKjpYDOlTY0rNQWmfhjg0tOZAFphRy aSiRSLSouBJClQkjSAIqSGBQBAokuBSAB5JLLG4Ahig2dyQBcYyJO0AEfIUQ8sIIoKKBgASh kPckBIVYENAIku5CsgCRISCjAxwMFAB5JdxICLBRS5XoQUUIewKkgWRWaEiAuQSFWKAKKEiF JASVGgQjF6AZGLsuRgAJFFBVJAO5LyMIgAuRVoKABWbgsjHYlQAISVgDDKkDFyiADBQPJKGn UAViyK8lC7gBJCSAIA0UUAySNJRLuABFyQx2KwAyHLCPmAK7kYJIkAYJZFSRRkhRRcgMQQ4D sUQGgAIA1yEdwgKLiXkC7BAkwCAaHBAZIfkUACrQIwagMgZKKGoAAaA1fsCQUZA1yHYAIoID MSgaNArADRlqptq4QB84lBFz6RxcIA+URpinzCySdDTS7lCis1AxYHWxtxM8BCmkAYhc1CKc GmvqFlyBloDV1ckuAMYA1QsWAzFAg1VhFwMwZokbaCEB90r8ilW4pORSAkpRrSqqpQ8DGEAR g0kUQjSUIAiEaVi0o0kAJYmwpEqiBJDAQaAIoKJEvkBQK5IUAXElRCkBFBJClRhAkKVBRAGC gcxkQASRICKqVyRZkKhSJQKAEQlAFBFyoHsQGCwKySsBIiX0KoFBcjyUMAghGABKjKLoUigA UDDZKtSyAJDFGUCo5AoBq4wUAH3FRUkmKqARchaJWYByTGiRIAX1JQKkksgFCSNRIYAs2C6g UrlGQBRXkVcoyULAAvcUv9lYUqAARViUcACRRcXckmUZSRK8mo7FCiCAwCFZKOwBBIYIDMYL keeCQBXKJVHuQByAqOCwAQXkSwALsEUEkAFAxksACgIZpWhh2AMFFBsSKCAwxIAXAC6kEBMV XBAACWIYGYISwBmyZYNRAAEUA1AAZyQkFZjuQ1goAzgINQHMgZwD0mwX1Aw9KMwfSDMAYaMv tc+kGfCAxFAaXBr2gIoBjnANUhG2kZdWBl+AfzNNeQsAPwBrANAZZLgYCAOjQqOjNKY9iXc1 pQElkUqUFIUgBaaGklGSVpsKAoHFCSGEAIUK8AkApEkQgRRUSgCJIYGK3oAISXkl7BESFDgA Ql7kBFBfYfAUcjySFZAIIaFFAJEiQpEErFAogDJEMACVBSJFCAlyRpZbBIAQilRwUABI17hF GBQlySFWoSj3AC5EYr5AEUVYoogCichHc1HgrAZViQpORiZAMMopApFH3AmqKCaFUJKZAyIx FkNLwBlUqUChxcDKiQyai4pWYGfJI1zIXcACJ2GLpFFLFGfhoKVBVyh4IMqrcj/TQUXw1qUZ ihDyUKIIM0lLkowMP6kAQrElfsMUIDJGkqFGQMlAkqACD/JpIMgZgVYaVRQoAyskMXkvqAYA a1LAAQuIBgQISACFBBQLJQIQBAl2HyQBZAaCAAkqCAQFyJAZwEGmiwFZ5KowUUICewQhgqRJ RmET8ocgABk06ABmCSSFII7gZgGjUBFKID5xNYQRVn0apEGWq8JAfNqvcnppyb5rJkDEGY4N uiv4JUU9gMf4DwaB5oBmLh7mggDqSbpg0k2WTSQBpsaSoUFWAKIYpCigCSgl8xHkAXApEuxK wDTBIkKCJIkWRSAiLsK4AslBD7gSJcklSCVgqGLki8gSKBQ+wAKKMIvAF2KKSS7iskAlSRRF dWAlREhVE0yyAWsKFLkoAkqMkhSrggAlcUnFxjkAnGBx2LlOhQBKIYJGknElFACOxJU7ilBp KvkDOlcFBuE/YF2KM0juKRqEgVQKM0KHYkqQ/mOACHe5WsaiVZyWlAZ0pQ6DCqaWkIUOsgZj sVbSaGEBmkFHyGOBiFQAdiSqKuUXoBmCvc07MoywBKJoCUWybjIKACHwEXNKFe3coAzARU3F CilLgZhAl3ZpK4v5gYgEqm1WSiUBmL+SSrSxrBlLigBFCjlil/4ycYAzHzDF4Nx+LkOaAZRe Kmq8BDgA+oGqlfkgzYEvc0u5NVowMxwQr6kBlyV0JRQAA1AZoAQFYsa+ZQvcDPsQgBKxXL7F UAgo4FZlFSwGXwWBWSAAwL4RFARYZIIANYBIAwGDTQZAAuJBWSVjQRUAwEGjIA4JrgQrAGYu MUsIQgMwjLSh1NxQPIHza/8AOTLXyPo0mDXyA+b0vAOlrM20qg6qiA+bA3aZRmseAMxRyBqK XCMMDsVJkVckrmsACQ4JIUAJCiiggQoiQF3FLgl5JBEhRKqFACFZoSFK9QDI0gkqklgCSFXJ dyVwKBJeCSCqyJKgxBRcgoInYrAUCRJQBLI2IQBK44JFeQIVakEk6klSQJJkrCrFFACOR8Cp koSZQdrkvmaXyF2AIvW5IWsZFKkMDKSTuMYYpSpkYcTM1AEsuCjibDpVBVcAZS+oqqYqzJfz NgUQUSJKjAIrUklU17MlawA6VYUNLwSWABXZaUk2KRJX4AEqUsMX7kIBFHwTFIoQB3koQ5Jo AtJQPKuSSgAjTUkoshjnI0AzX2JKgx8yAylgoUGvFQhACXJQahhFQBKjuS0xeovhFAGflBQa o0EIDPwuSSvCN0qChVdwMxHIRg3zUIr3Aw1SxQzSUSkLVJA+cOKfMqRGUbSeQ5kDLSiU4BR4 NQ7Y4D4aVAIqGfJqKdyac0uBlJhHk0qJ5KOCDKjkMM1GGUAZYexrAMCQUEIdgCOCFeChAZRC CVALAP3NAlgAA1FS7FGQNZYYIAsDFCKjNIK6sJAZgoH3DAF3A1AUkDOOwGgyFEAawAGYVyih rFjIABrwGAMhHc1AAZikQZh2sbYakgPm0mpkzHJ9GnNKLJmE1NEwMNQzLvNDbWUwSQHXAqiK ORgCQghSAuSgVkeQBKRRIY4CJZ4JIUWQDsK82KBAi7ENUBAhwKSChCuwI0gAS+ZR5IJcXFEi ScAQ3RL6Cq2AFApEhQB8iS5FW7lioEKV3MEl8hisAQJUHHIpPgoFORSXIpTRD8IB97lprTJq kcwVIsvIB2SGGrF3FLuBm67ioVBirEAXYUubCkUXAyrUFLwMYFWAIKydBKPkAKsqCj2FWZIC sosXhjZEgDuSVRoSAIKDXNgXcCgIoagIAmiQpFGQBZIYLABglCGAwBYrQINFFwDDJJY9xgre 4AUcCGQCHMDHzGvIIAGOCSxBKgBBJCkEVYBBJVtawokAKzA1FLlHIGWqEsiUR4AKw8gqs1zw AGSGKwXgDNu5NOTUS7mYz82BnsySvyaiyYReADAOxqIkPIBGAi5qlWmEUwQZKB5qCXyALlEX GOwQAZIYUk7XAyi5FRBAZISAyrQP1KLliQAMDcPYomoQCrFCkAL2KC8hAUElQsAFUBoHYDK4 I17GayBQZjuNIuTCiAjsJQARSA54EABozzBvkPYDDszLufRow00gM8mdUM25pwZiMgdRYFCg CGKqC7GkuQAV5EoCLIqCRdgIlYSQAPkUrl8wJeBhcgKCouwkQSsSIUACSQoCRQKVCSAi8jBY cAX1KBsNABIUklYku4pQAL5ilwKtaBiZ4KMw60NJOJFew0VQDTpuUSaSpKsWkAjglmgxcUAR hirkr8iARQkpqNSVgKCVRXYorIB7yOCQq4BFSLkVcAQqigkiAIuXkYqKUgCRIYRKuQDwPcif LAFcldjHBcgHIpUFXDFQKKwVRgkAQqkihilXgAVZIbFlgHghXYmvIGSuK4uKvAGSaNQEACvY h7EAZbWAU15NdyYGUJJEgCA5NZKgGYKL9x7FZXACEmvqBmKFcc4RIDPYqmsBS3IGaXgmkMfc ogDLS+KljLX4qm4ce4RSssDLysgrVRt5BoDEKSVu5qMQEdwMpVJK+e5rUg7EGWRqDNkBKwQ/ Y1QIAy1wwNR8wkACxr6gAK1CGKSGGAF7FWCVgDyXgcBBQXA0GAgA0wAANAAc0CJNWMgTAVkm FZgmMABkK4NRcoAwlyDV6GwAxErky1/o2ESmB91UhRK4ChJIsBErMVYlYUAUHFiXAuiAKVG5 JU5JASGHBFHcipZoMBFBSAsMQVKioaAkh0qhIlwBCsklKkllAKJIkqCuYAEqRJpKgpdiUKZm QBWH4YuKi5JS5KJKlBhSMD8NABKg6USzCQoAikmkkS0vJRkAzAxK7ElDHAAlCbFSxjLLkASK FE5FLKKwEv8AxlAqGmSsBKhIlLuhQEC4NEgMpDHyEoQAi5FUdC5AEhXgVaxJXAFYkKUErwgA ldjzQUAIFEcChgAtVBAruWAJd6hc1DkKASmAihrBABCQB7lAxyEyAdy4Fw2WAAaSSSqUMAJD yWJAyphsmaXcMgD8C0q3HuwiUAQBqoJQBOYCPcWWIAI+QeTSVAYAWKEx1UQGWmkXhGqggCmA j/YwVPcASvUGqOpruEVAIoZaUG6A1SQMtR5YZsbcpOAhAZigWSNQyUt2A+bWUUfU3FJgIyBi KwFINxxJlqKkBFANPlIIiQMkPIYAOxXHFwgAURJCWAMkJfcDOSVmMUKAM0IYAoMFDkSkIzzQ oGO5QBkErmsAshR4ASihBnFi5GMhBQKwDBQBmAZr2BAfZSOIBZFXuESFEhigF4JZJIkBYoSH AoKEK+5e4ogFS4qhQQFjsQ8kBXGKErMYAEjS7krEBRg0qUBK8wKUvAErkv7ihOxpJRBQK1Lm kqFpVx0qgElclKFKlhrcCSiUUUY6VklQC0w7QWaiqMgJUm5K8DmGSvcCgmu1CVUPZAHdDBJD FABWGKl4JTAAr0H5isrkEBKo/UkuRh1AFRFAxOCQB7ClNyJKgFyyH5EkAFHyEVRwABYSQFSS SEofIAl3KPc0l4BAXsGBJIAKkC0QAozQkhjguwA6yJQUIAgo8GiSAIoX2KCACrIlDrABFeCH HJRQASREUAFkHY1HyKzAyiihr7hABghjggMlAkAchE5NNSCQBehMSjgAV3yCyKoQAWBa+oQA Y7leYHDCIVAMrwNbDUnYDCUckjUAlM4Ay+9QjvbBuJuZiJcgZiK2BqnJplYDGlwHJpqkkrEG FBJfM01kAMxcOxqAwABFBRRcAhoBiSSAOQHBAGLAOCjwBksjBAARUSKgVgjI3oSAzBQMYAAA 1yZ9wqwZi5qgQBnsEGskB9VYVYkUSEPPJEhAFUVYhChI1AIYqQRQXYUgJFkkKuBCqErErsCS uKRQMcgCkSUmlVgC8moXDBL/AEaViiSvCFQSXAtYAo7jEErCpAEl7jpQxeCxUCSgsXJK4xOQ C45JIVkANYqRYAiglbIpXkAwSFUUE+AJFBLwIAlA+SVij5AS7FXIlGQBWqIhFewElwK4KC0g USyS5HJACJCoqSsAeBheCEDNfkMSMElQAhol4LAqqAF3JIY7kARJJDHDKoArXJDFLEAJFAxU kAQSTuKVySxcAQexrBKwASG1CSVQMwV5GCikgHOSSoKoij2AKE/Yi5AsMFxIpcFF6gZgc2FB kCCLyMRXJdgMqzKaGgSrUAwGLiirlADqiQ80ACDAhAFARCNO4RS4GYnsVINQEVqAYKB7Akrs DLWO5GomoWnkDOAjOTSs0TzAGWp4MxF4NszEgZiM3M+5v4YVwoBjkmkbM3IDHcyagoAziAdL GmgAMEu4sACCgskBn3Ko+SAyXsOAUFRET+pAZqWB9yAz3K7dKiwUAEXCKjBBWWr1Ir3KKgfZ FWIJD8ggSElYeZIqqSuWKCgJVJWGCVgFWBIUUdwJISSluoq3IAuOBhMleppLgAhRQdK5FUlk lDgC8j9hScVJXhlEoFKIKDSUsClxag3RRQV5AFMiqKLlMzI4ArFBJX7lDgBVqFHcqCuwANKk liSWkC5HMEiVeQK5RwMP2KPcCSHkoYrPYDKsxXJeBVrgCsQwskr2AvqTEkAaZqNywSzAFBQT FAUEWnIwBnkbqpPJVsAcih7NFEsCSDJoMMAL3GCVMAAjHgFkCSLuOLkAEiGEBkexL3LNgKLk ogQWWAQxKCSACgexKzAPco5EkAQWIKHkUgCCgQpV3gAS8lGR5YIC+4XNf05CLgEEoH3LIGUT QtUIA+QYNIFFgABViS7AEQUUFZkGAVIccBChgBR7CFKgWQNQAGYdiElzgDP+B7yMdgAzHARc 3QEryB84zwDSNqbA7uLgZdjLPorWMx48gYtKglRVNOqcGb0IAMGnTS4BcoDNcBXg1HsDAFYE aj2AAigYEu4A5A1kEijJK4+QAlksEuC5YQUyZSoaKLgZ7glRmgQBAYZr7mQr6obYFRBEEPcF AoANJUYKtOBAsDHsSFZAkrkrEk+RSAlcVWhLIoCgUlFyjI6VJQabWk0nSEUVYpAWlNjCU0Ge CSp2AUlyXuKvYs8gSuSuKJAX1HAJSP3AUiUkqEqgXLkoRVgUgJdyzI0LIEkK9iRLuBIiVhXN AJWCtRJSBQMKSggCMil2FQi7AHtJLsS4FKoEiSvS41JWkASoMULuTAsUJWLkUAeSIYACFQSA n2JFFyVmBFUh9wCIVCwJXAIKFUiAlYsCCAsQWBJIAJRUiAqlHAkrMASLsRK3ABA0KCAsBiJG CwAQX0FEgMrMlSBjIQBFFBIDMUKJNIMAZijyioawABkoh0GPdEARX7gJKqAO4Kw4ZAEUJXwM FyBmKupewkgMxyHY1gGsgDtBKailDKwAgiV4GnBKwGbBiYNYIDMTgLGohUDsBiJpgH86m2mg xAGI+YO7Nu/gzYDERyWbGrBV1kgPINcjFAcMAaozMI0TAyRclAAHuagEARAC7kAe4DgIuUEc FfIkEZLyIQAA7jDBphX1SoKRWJckCl4FcAuw4AuS8krGkAKRS4KFECrASSyKzUWqeSSgAyaj GCSWR0PMgSTcsUuEKhSKo6WKJWeJHT2sSXzJRWgCqfoVLsYZQrARJZGKEgEkuSVxQErFklIp ACFXbJRIxSoAhjuKgkuQJJRQkS7D7gHJIcipqACskqogJWY4JDF0AUgoViRSBRCJRksCBKxe R5COwESVxJIAU3FKUySICxckUFiALmhCl3ICViLwQEkRErgRLwUXFACuQ92AEiGkEgBJskKs TQBglYYKAKMAuBcIoAFkhqXuAYIvcqoCLzYiAkEjCgqACVSgSACLGB5YBgMDBZACsPYnYAjI DgowAWC5ooAzFGXYSAyuCsxSuUAARU1FDLs2AMoEooAQCsxKMgFZBCVgM+Ci5peQAyhfJdiS pABbAUgVDQfUCwZiMGnGAfAA4mxmK3NYYJdwMO97BMs2k+3YzWW4Ay8wFa0NRMyBBmQi9TSr kOQMomkaMgFQwaCOAAINdjKoBAKC8gVwH2IqMsmrj9ioBkr0HAUA+vkkSqKIqiO5IUSkBJEi VAFWFIFYVdVoA4HGCxQdKuwJKlbDps6ErURpUKJIVBaZzgYAfBJFApARKiZYFWAEKvwKRQBJ UJD9iQCVUS7lABgZ4FEgJJwyQosAUFBGoAyq4NF4JVABURgkuJFASJEk5ICSySsVYKKdgKK3 HJEBUJCSQEp9iihKxQBJE4JClyAEJIAjkcF2wWABDcigCRIlA8gBFyIAQ+UUAAlhlDgCSqE3 HEFgAwQpUmSAkAq9CQBgcBcfqAIhguQAiTICCwkAXKnI2ClUBFjsKQQBAJAQZGKglUArUeS5 qSAFYhLIAu4McyCyBQQoGARBQPkOwACyhEDKIWoIDJIYp3IDOCGMhAAHJrkEAR3uGTVJQQAR ICTVLgBmFFxSKAMpMMNm/wDJmqoBhpzcNVDUVhlEoDFAqadgfkgylmZCJRp1DAGfcFJq0oFY A9wQuxUYBBQRAZyQldAZ5IYDBUCgiROzA+iEkKkipWFRBRAgXcUiXaoryBJCuICHg0pKJLsa uXaqFJfqBQa0/MIp5HT8wFWDsPZQSQFAwQqzAkhisfUl4L3AiXclyIDglwKsV2BIkUcIQBUU DZEIESvYhXAEgQirASJEhXgALFBBTUCwJIVQCBUGhIAEhS8gWbhgclgCguS+o1AESLAqADBJ DHJcgRf+SSRJYAPuPkkhVEARTgknA3ySsAFBLIpcgWAoJASRIiqBBApXLtIECQiBlKhRkUv9 EpACFF7gWLgOGCQEUDUkARW5WLsWALyD8SJQwJWCKjFwAuYBeDQJ0ACEPIEHcVLuOACkAILw AZJC0QASHmQAMXKthZd0ALgBaIDKHl2HAQAJXCkcjdkl9ACKWB3GkkwM0qUDSCilwCPmCcjj uFAAFmamigDOKhEo0DkAjgy1Nfkaa9wswM+Qg24YO8UAw4+Khm8zU1F6SGUBjItdxgIVakGY zIGs8BAGUBoI7gEUKCsQGS8CEUAFYmK8FDAyQoCo+iQoUSsRUq4NdlyCGwDQtKpWBSrQvACk rmohBZQK+VChigol3FUqBIUuwJfM0lRgRPsSsIEhWQQwBabVEo4G4BSBViQoAXAol4FW7gSZ KtS9hVwJIsXLA+4Eu4pVIlYCQx2BCl2AF5FEkKhYAFcuRVygCjBUJXGACEXJCuAJQVSJZAoy PKIrMCRK5KxARJELtDAF3EkVAK1iV6lEiAErisksgDElckgBIo7iQEslBdiAkSsRWsBclyQo AKOCSqygCIoIC9iKmJL2AIIfBICigQJABexRcuQCKDgoK1ADtBCUUAEmUVLEEACCc2afgcAB FfBcgGCkbkBkhRAHYsTBO9BwAL6kiwyAAxU0GACvJF2KKATgC7FEIAhA13NZsFGAAlRmg5YA GGaUxNDMUAF3KOBQcgFy+5Q/oQBd0CKMeSoBn7Bixq1AYGYhWCnBrDqEUqwMxDMQfSMOhlJ+ 4GaKUgZqAyQZtIU5NV4MgGPAC1UgDkzg0WAM82KIuNWWAM5BQaBZKPqkKVCQr+WhBcyOlcol EGlRFBHeprTRUBafma0qlwFLj3LSSvRGomQKKlEpilSeCS7gSQrJJdxAl4gVEXqCyKXsBCRI BxQiGABKtBRLgUBYqKVANKzAFmskhsSj9QIaEigAQ2H2JKQBVFIkIEiRYYoAL3FKrKwFjkux K0jFABMUSWCjgAVhsRICJZyUDABbwKsWCQEuxLwKKAKwQKUooQEQ9iQEHI8k1wBESRIA5Hkk S8gRUFoooALsRDkALEFFBuAKzoSIkqgRexErASVCgrFcCjJYqUULAAXLFMowAQUDBRIB4K5d ywAQSszOvd0ba/Fqrwcu51OpytH4V9QOrXr0aF+LUvGTm3d346aZWnzc+D1pV16jn1dbtadf w17wpfyRKO1LKpHB9NO7q0qH+KMu5zbPVbGtRp3ND/8AtD+p9Xq03qvYD7re05TRpbmh21I5 qOzTBoUdl1QqHEnq021NeGK3t3T/AFJ+UKOxZA5tPVR/No+TPpp6na1KuqPKLR9VQsFo1adX 8upNdmUQwJgMFAB4LkiAFxYrsVcIAPBVgSAzFAg1yUAZi6kP8GocAABIlHAB7APZkgAIwLqS yBn3AWiQBAREoSSALYMxWmDQAZSTQP3HVehUiQMOI7ozSDdUzNPIGW8YDBrDCM2IMwyh5uMK AjEgZj5kxyQGSsLsCAOQ9haoWAPssioDuaVqgCzwaVpJVXApFDprahqIRJd6kkkgHSmMQSqQ Eqj4glMSMdgLT5JKZqQqwEksjFC02ICx3FUm5KwpRUAFFyPzAorUkKrRErgUR3FWZKpKwEhX BKwoCViK6ZeAIiyKQEi5JQSsBJXkVwy9yQCvmBJj7gWIkqkkSAueBUclgvsBLJJEhWUALJCk SQAMDFLkgJSyUQUlHYCTKSRAVygbMoUAArIKrEAG1iS4KGgAV3IVZoAKKULsLQGcCiyIAQ0L moAiHLgrMAyVmMBDAOaj2LsTsBYLFCJACIcF9gCtiR893e29GZfCObc6jXqovwrsKOnc3dG3 /M68I5t3qdeqmn8K+pzbm5o0TLrwcm51TcrR9P1JR169enTXVqr9Tl3OqutCl9jl3dxJTu64 nHP6nyWvd3KbWj4dP5tX6AfXd3NTT1bm58K8/wCT4rd1avw7G3Tl0RrR0+ifi3G9zVyzp2tn c3H8O3ob7JAcbXUL+Z6NzyrDt9Rubf8ARuaP+mpnsbPpjand1w+NNTGv0vcX8mvTq80A4dr1 J/1bif8A30f5R1bXXLV/RTnRrn7ny3fT95OdWy33Sk5NfR6E66XpYHraer2nfV8Ldlq0wfTR r0603pa1L+1yeGtje0/yb+peahPVaY+LRo1x2iAPd1RFaeTDR5Gjr93bpq072jN/i+59tv1P Tq/m1bbbdfiT0uCDvjgdO9vaP5dzV71OfR1e3qTfw6lxDWpG/wB7tOY3NKwvioB0aeu3dP8A Np06vofbR6htOmvRr0/U4npdYUxxU+epXFHraep2Nf8ALu6fDofXTDUqp4LRnTq16K6NerT4 ZaP0GSPE0df1Wj+tav8AspPto9Wan95sT/11Cj1EPNTi2/U+k1X16tH/AG0nTtb2zuL+Hu6N XjVJRtk0ToQB2Qe4liwGXW5CpKKAZipRcoGLgZz2A1WOQyBloLDWCgAVSKxYAAhNC/uEAZbv IKEzRJID52ko9zSiqbYAY5BqhqkRUOwGHYqDDtIckABrkzAElQzTk1VgAcgMEB9kpNJUYKth 01mxQpRQdKXuS01yaSp2AtNhRPhD9AJ2wObgsSKzUBRLklCJAKnkVYIFdgJU4FeCVyQFBoIg UqASsx+oCgJIVVkiQCrsiqSAlkVZrACAq1IL7grCBJFnsSHAFyXJIuwF4EooSVAIUUFUCWSX Yoqx5AgRIUBJEogkP+QCgrJdiVgDyKyKICihIPJcgWBRJIYAMOpRgkNYuAQJQXuBErkrFGAJ XJcuCgUqoASoQ3bbIAUEKSVSAMDDSJT8ytIBCIaVK6xABkkMUJWYAijmol3QBARB8t3qNGlu PxPscu5va9cp6oXCFHVu7+3opPxPhHNu9Rua5U/CuEcu5v7ehXk5N3qNeuioiDr3N7RoTlyc u51WrVK0URya97QtUKdzXwsf4QfDvbn82r93p403+YGt3c06XGvV8Wr8q/QzO9uWS29PLqz6 be1o21+HSvJ1dP0e/vV06Y0/mdEBx7ezt6G218Wrl1OjZ6fd3n/D0trnB6nT+n7O3XX/ABNX ex1pJKEoXAHB0/p2jTXe1fE+FY7dGjTo0/Do0rSuEaBABDAwBkHp06lGrStS7o3BQBza+j6f X/8Atpd1Q+Gv03bafwbmpeVJ6EBAHkbnp28p+H4Na8nJvdBqVNzp2l2VD9FBYA/J6uh20/wv Voa4Zn9z1Oj+Tf8AiXGpSfq9e1t61Gvb06vKOfX0HT6v6Xp8MD80tzqtv+bYT76HBvT6lqVN f73T/wBtPxI9rX6Z+Td//wCkc276bvqfw6da7MDk2+u2tya7Wp9tXws+v7zbc/z6fafsc+/6 elP7zY1LvBz/APwo/wCPd17fZMDv/Bqn4deh+8GdejUr6WcT2+t0Km5o3EvzIyuo6ja/n6fU uXo1EHTq03Plq0xVXM6fUNrVTXra/wD7NH6H007u1uKdPwau+jX+oFt9Z1e1/wAfUbi7Nz9z p2/XOr0U3NG3uLxH2OTVo0P+rVp/7af0Pm9rVqrpenX41BXs7X7QdO1G7s7m34/Ejs2PU+g3 qaep0J8avwv6n5Pc0PTdNeUfLUpRaP3ml6dSnTqWpcpyiyfgdG5u7T+La3Neh/26mjq2vW/U 9n/8j94uNzSn/sUj9myi5+Z2P2p3NNOo6TTq76NUfRnWv2n9Oeht6d/Tq/L8P+RUe1AYODoP WvT+s3NO1tbr07jtp1qGz0EUZw4A1F5KAM/IoFxIADtYya5IDOZJlgoAIMxXujWLg1/7AzFb Ga+DVewNXAxYPBqAggy1QqwxakI7gZsQ8hFADICqSAHQlFTSSc0mhJUZaVfkoVMGlQNM5Y3A dKJQShMUBQuRSJCBJKXLH2Mo0kBLyKUghAorRDgUiAMGk4AVl4Ah7Eu5LNQLAkrFiAEkX2EA JFyKAsESGlgKCgkOALE0JcErUKIArioLJJJgXJaRRAUErVJSKomBZDuJQBIkRQBIVYvcuQBQ K8krDAFSaguw3wSQApyOIJIUAQ4vQoFZgnbABHIklJASkmRVjsBK/IqChFFwDsVRisQNqAZx 7jUv8CsgZ+xOppEAReQyaSrcNTSTbolmQJVky6JzY+G71enSmttPU+cHJu72vXL16qcYFHXu 9Vo0ytH439Dl3N/XrT+LVTjBybnUadNFVnLu72rVpb1alp0+SDr3Oo0aMyzl3d/XrTrCOb98 9T/haHqf5nRf7JbD113tb1f2qwE99PVG3pe7q5x8w/dbm5/y64X5dNEffb27adGlt8JHd0/p u5rru6vgXGQPP2tvToS06NKO3p+g392upfu9POq/yPU6fptnZX8PQp/M7n1A5un6LY2q/D8e rnUdAkAFAwQBBQMCBkoEYAzBGgAANgBmCg0ABAQaADJQaADJ8texs6/5trQ/Y+0FAHDuen7G qfh+LQ+zOfX6Zrr8G6n2ag9WAgDwd/03er8Wzp1q0qH/ALODf9O2vifxbWrQ+1D9ZAPSmoal cMD8d/8AD3tH/D1WtdnUxqXXaY+LRtbsZyj9dudJsa5+La0zylBz6/TNnV/K9Wn6gfll1T0Q t3Y3tvw5T+Zad/ptyF+80Txq0wz9BuelbsP4NenV2dDi6j0jXH4+lWpLhT9gPMeytS/Cm630 6kz4a9lr+qJcfiTR1bnpujQ/w/vNp9nB8v3PV7f/AB9R8XbWgOTXta6/hnxU+GrTh0O7Vq31 /wAvS6NcO+gw97YdNf73bf8AcpX1Irh+H7n9M25+BZoj+fra2tz/AI9za1V/6s97Z9f6vbSW /wBHp1pUnQy4P0fKgLo8jp/2i6Dd1LTuLd2dTaX4tNJPXhVKicQZwzTqABHAMfcopIGck7l7 lWLgZVVckhzgsAZSRl0boaaXsVIYGNaTfBmL8DioQ+4BgyaUQGCDPKDBoHYDJVgYpkAOlX/Q UlZFEKbmtKSKJVVR7AlgVMSA5JIVYlyBIcEhQEr1IvehAKsxjII0gBDBLwKAoEEK+oEK5JWa LAFSooIcjAFySEl2AsEkOCQFklYqsQKlSLBdgJWqKyyq6EoAoFIlJJAUcErCVAFB4IlAElcV yDJKnYB7lAqCQAogsDDJASzJIVSpAVSQgrAAkKswCOxJGow+KklQAhiuCzJcgCdIFVuCGALu EM0kULkA0lzkUKhOOQMw2ngrmoM69enQp16lpXcCDVq06U9WppLucu71tGtpe7/Q5N3der8W 5rnyKOzc6xKVtqXy7HHu7urXOrc1Scu71SVNtSzj39/O5ribJEHZu9Vp0001Zy72+2vi3Na0 o+Ce7r/k0/AuXc1o2NOnV8TnVq5YGf3mvXK2tEL82r9B07Cb+Lcb16u9jr6fpt3ecbeinNke h0/pujTXe1fG+FYDzNnZ17j+Hb0PV4R6HT+m539f/wBdP6noaNGnRp+HRpSSwkagDGztbe1p jb0LSuxoSAEJEBEQwAFAkAEJEAQlCKIBgI7gRFXkKgIFUgIBCAIBSKAMkJAZKDQQAQEGoKAr MEkfLq+s6XpFPUb2nQ+Jr8jxet/aZKdPR7M/37n6EH6GFp0vVqaSV23CR5nXeu+n9NOnTre/ rWNu3zPy3U9b1vX6/wCJu7m72Vl7WDa6HW67mpaeyqwOr1H9oOs6latG2tGxtukaVLfuzj2H 1mqvxQv70de30+3o/k0y+bs+2jY1N1p2yVHPLisN5cB8D1f0z5PW6b0rd11ej4Fzr/Q9DY9L 6fRXcndfeiA/L6PTF1GprR0/xt/lUfU9fpfRNbh9RuLQvy6as97Rp06NPw6dK0rhKCgDk6bo Ol6f+TZ0vVjVqqzpo73NVwDnkoy7FasCyUQ2BlyBp1pYyBkqGsgAYBTVUFeCgDMBQ1Hcy7ur Ay+4PzJrkKAYUQHw0NNSqBiskGaQC7i7wGagEBQZkPAHVUUkXkVyUSsKBfQYAcySrglwKpYC SGKQS+pIBRLklNmMUAkKJUFSkBL6EsklQVUCUNEoRIaAWKD4LwQEuZJKpJ0FL5AVIHT9CJUY EStJL3FWoAeBKt7igCBgq1wSsBKiuKkkijuArwSjJVsQAMSQ5AOxDQlkCsiWSFWAohkLuUTU AWR0pXKmSVgLnghUCuwAtJC5BZAZvJQ4cMEjSVHD8gZdWK08yKVGNZ7AZSUispVktVCXAEkr F9iXkeQDuM07CqWZ893d0bddepJ8ZA0G5uaNvS3r1JccnFu9ZqcrbXwrl3OPd3dOmdWvXXuK O7e61uVtaYXLOLd3f6tzXL7s49zq9TpoUd2ce5vJ6nV7mrhEHdudXjbU9zj3t+dUa9T1avyo wtO7r/m1fAuF+p9Nva06aaNNQPmv3u5//Hp7VZrb2tGiqUt3bueh0/p+9uV1/wAPT3v8j0On 6PY2arT8WrnUB5nTdHv71Vp+HT+bVQ9Dp/T9jbrr/iau9vkdZIBUJQlCIBAiFEQAwRASIiAi IiiISAiIgIiDAEQgBEREFACQAQwUFAGDUBAAUDEHN1nXdJ0ib397TofF38gOiDOp6dOl6tTS Su24R+d639pXXT0mz/8Afc/Q8fe6jruv1Tua9zd7YX+CK/Tdb690PTzp29T39axot8zw+t9f 67qJ07epbGh40XfufDZ9Pd93XC40nXs7G3t/8ehTzdgebo6bqN5vVqlT/VrdWdG10O1prrb3 H3oj0NG1r16oSbfCUs7en9M3NVdcba71ZUeZp24UadKS8Qffp+i3d5/g0PV9Ee3sdB0+0pen 49XOo6lCVgPK6f0pJTu6/bR+p3bOxtbP/HoWnvk+tYkrruUBewgwKLwZg0EgHvQBL3AL3CEh p7hVgDn5gawzLWAC3Yi8kBl3KkGmgrUDDUt4KhqAwAZB+wmXdgEtTMGYcmmruQcxPYDEXpJD FHYzggOQx5FLkOAOpIUSXzGKFFhiuQSfcVPYBUCCFLIEhVmSqSgBXJEvkKqBcigoKAUiXZEr iqgUVJKkEqXJVAckmSLICuCglahAKVCRCBESqStADBZJcoUAWYkqF9gJCs0AQLBJCikCRLvc kriBWwRRjJQBIkNnVXKlQJWKCS7ipgCVipAqwVsApKS7ksjDrXyAQSSqKtA4wAWQq/ANcirg SmLqSq5HTNZgryAQyhNFL9kfLd6na2lD1fE+EB9qVPnvb21tfzaq8K5wbvV7uumn8GnscW71 G3ovql8IlHfu9buaqaF8C+pxbu9o0S9eqWcW91evUnDWjScv716m/wB3pep/mdgOzd6vVqn4 fwrk5NW98T/CnuaucEtp6q7j+Ltg++xsbm4/h2tD1eAPh+716/8Ak1U/KrH22duvwbeht8JH o9P6YlXf1/8A10/qehtbW3tafh29C0rsB5vT+m69Vd7V8C4VWehsdPs7K/h6Eny7n1RICIoF AAkQEJEQREIAQkUAkQEREBERASIiAiIgIiICIiABFIgAjl631DpOkT/fb2nTq/Kq6vkeH1v7 S69U6ek2fh/v11fyIP0mvXo0aXq16lp0q7bhHldb6/0WxOnab39a/Lb5n5rd3Ou6/X8W5r3N xd3Glf4Pts+mq+9uT20/qBrrPXOu6pvRo1fudL/p27v3ucu30XUbr+LX+Gc6nU9TZ2NvaUbW 2l3PvtbOvc1Rp0vU+yKPP2eh2NFdSe5q72+R1adFISSSPT2PTdbrualp7KrO3Z6TY2q6dCep Z1VYHj9P0W9u1Whxy6I79j0zb0/8ut6uyojvVHBFHz2tvRtaY0aNOnwaY5qVAABCALkioirV ACDlGsAwCIJEURYAwDVTTCzgDMQici7AwCyCo/UIlgWAdR5oGGAArGmZswApuIRKAy4uH3NY YYmgGWEPLNRSsGWoVwMzR1Mxk04MvgApHCDwav7XBEHTfwaSYaRKJK4oslgCNJSCQryBIVQv mSzAD8xjgzdGoaAkMeCJWAUmSzQhVgJcFp+hIkAkXNSWQJWF2IsgMUJIk5JcgSdRwRK1QJeR AQJXFQApAWCVEy5KAKgpEh5AoIiAdOZECXAFA6VRkom4z2AIUDSKVLwSmABJwaVF2JKtbCoi bgFL3FX7kiikoAyUXoax7grAK7laag20quF3Ofd63b25Wn8ertYDpUzCZ8N7qtvaotXxvhHn 73Vbm4n8Wr4dPCocW71ejTK0fifYlHfvdXubian4dPCOLd6nb0UT+J8I4d/qdWr+fXC/Kj4p 7mr+VfAuXcDp3uq1tfi1LRp4Of49Wqfg0x/dqHRtaU5c6nyzs6bot7dr8PwaedQHHp2lM6m9 T7nT03S7u9/x6HHLoj1On6DY2q6l+81d7fI67KEgOHp/TtvRXd1fG+FRHdo06dGn4dKSXCRI UBIQFAREhAiIgJCREEREUQgIEREBERAREiQEiEgAhICIhSACGDk6z1LoukTW9vafi/Kqv5Ad aRnc17e3oevXr06dKu24R+a639pdzVOnpNpaF+bXV/I8rW+u67X8e7q17nfU6Afo+t/aHo9m dOzO/q/tpp+Z4fV+teodW3o0a3t6X/TtqvzuWz6boVd3W9T4VEdmzt6NtRt6FpXZEHmbXQb+ 4/i3H8CfNWdmz0XT7Vfh+N86jv2en3d1/g0t/Y7un9MV93XHbT+pR5enS3CSOvY6De3KvT8K 51UPW2un2tn+TQl3uz6Fg4tn0/Z0Kdc7j4sjr0aVp0xpSS7CUAEIBKKgQDBNAZKKtCuQwBIu SIACogBMIuJAAWqaM3AnACygAfAQ8jgpAxFyHAAAe415KAMvyVBoAAoLuUSoKAM0uUKWLCJQ B4MuTcVkzCAy068mWoVTce5h0kDP2BqtLGqmb+xB1QKgkiVihUVKfJQKgBL3JXEC5FWgIwKU AQrJR9xAl3KSQryBEhkl5kCUiu5K8ogKgqoYFAS8iVCX2AriAgSn2NAlQpAu4ghAkQpEBYgU AqwBgUSFWkAWWLJWZKoEhmopQSvABAw7EvFRapcCSpyLSxcLlpn9AFOsErNSSXsNIhgWmlSw GrXp06Z1NJLLocW/6hp002l8b5dgO1uFLhLMnLvddt6JW3/EfODzeo6nVr/FvblOMHHu9Zjb XuyUehv9Tr3K7muFxZHFudXpVNtfE+cHBub716qt7j4Rladev+bV8K40gfTe6h6nGrU9T/Kj C/ea/wCxdrn02dlt/BtaG3wkeh03pmvVXe1fAuFcDzdvaScaU237tnf03p29uQ9f8PT3v8j1 Njp9nYUbehJ83Z9QOfp+j2dmq0/Fq/NqOgkKACEgJEJAAokSAUSsRICQoBRBESICEBKIiICI hACQkBEQpABCkMACKDj631Xoeklbm8nrX9On8TPD639pd/XOnpdpbS/Nqrq/QD9Nu7m1s6Hr 3denRpWdThHkdb+0XSbM6en06t/VyqafmfnXt9d1uv493Vr1f3a3Q6dn07a013dT1vhUQGOq 9X9R61vRp1vTpf8ARtqP9ny2fTt7X+Ld1fAn7s9Ta29OjT8OjQtK7I6tjot/eqtDWnl0QHnb PR7G1XTo+LVzqqdOjb163CTbwkj19j0zRoSe7r+J8Kh2bW3t7Sjb0rTPCEHkbHpm9qh640Lv f5Hds9DsbdXp+N86v0OyoOrqUZULCjhFnyKzJQgBVZNVdSdwAkRFyAOCEIWLgURIDgMABKoo M0ACQgwAhJgGXwUUJwwQEECGAIBDLAHQMGgAzEIvmJQBl2gL2wKUgBBA+4cwAchhmrKxlqPc Asi9pGKApYGWsyFWafBf4A+fKgHwzbszNcMDOTMSoNPl3Cs0IOkUqgsyOGUP2JIlawgUCrEr kgFWYghVgHEyS4IaJgWklyS+gqQJRUlBIQL3FB7ikBdiViioxUCRIvcu4CSQogJCgUwIFgou rghVgEknkhXAErMiVu5RQBRSWmwoCS7jAWu6DcCsuwNV7Gkq3Lm4DF5ZLglYsQARwKVz57m9 t7Ol6t3WtKxN2cHUeptzp2NEf3av0A9LXr0bel6tzUtKWWzh3/Ukp07Omf7tX6Hk7/VKXq3d x6tXmWcu71Wtp/DGjTyQd/UdS2/i3tyXx/o493q25WhQuWcf7x63+DS9T/M7Etr4q7j+LtgB 1br1tw3r1c4JberV/Pq9lY6um6Te3v8Aj0fh5dEel03pu1orvP8AePiyA8vp+n3Nx/Ds7bfh UPR6b0tKu/rn+3T+p6OhadOn4dKWlcJCBna29va0/Dt6VpXY0RIBIkIEiRCgJESECIkIAMER BQUEQEQkAERFCRIgJCRICIkIFBQKXJwdb6x0HSStW6tetf06KsDvSMb29s7Gj497c0aNPOpw fl+t/aTqt2dPS6Fs6eX+LUcC6frer1/vN7Vqc/1bj/wB73W/tJ021Onptt72r8zpp/U8XqPU /Uuvb0LXqWl/0bahH22PTtnRXXO4+9js29EL4dOlJYSQHl7Pput13tfw9lVndsdLsbX8mhN8 urPS6f07f3KvT8C51U+h6Gx6bs6P529x/JAeNtbO5u6o0adWp9lJ3dP6Xr1V3dS0drs9fRoW jTGlLSuEPJRzbPR7GzXToTazqqz7uw5cV7g1WwEubhfkcTwWMAZt2C41ViX0AIwArJYAzHcr IQfgC7BkhdwBTyFRJO+QBWKIRKpAGC9yqWQB2KKDzBe4GYoTLBIAyXcrMuZACJFFACA5EgAK MXIARnn6GkGAD3DmTV0GQMxMl3GKmWBe4YEJTAuwQIAZalFUYuGHyBl25M+XButQfgDCTB5N zeZMpTSwHQrjkEqVFWAVFSVoJWkZAl/7HFCRJdgFEkKV2WbAS8ElIkrMBRK0yAgK8kgWRAkW kUS8gKIi7ASsPJKxe4CqEkRKwDgEIoCRYqStYkBJDgqlICkUUJJVL6gSVZFErCBckkSyKAkq N19hh1j3Ofqer2On0v8Aebn4saVVnmdV6rvbkraX7vTzn/QHrb/UbOwv4u5HbJ5vU+qbmqdO xp+BfmdX/o8fd6rTLq9epnNvdRqf8+v4V+VEHdvdSvierXrevW+8nLu9TrarqWjSc2l7mqml fAuXc+m3sr4qJ69T5qwMrVr1N/Bpj+7Ub07Sddbet9z0Om9M3tz8W5G1p73+R6fTdHsbCnTo +LV+bVVgeV03Q7+7D+H4NPOo9Lpug2Nr8WpfvNXOq3yOogFWhERARIhQEKIUAISQpASIhABR IgEiIgiIihIBAiFEBFBDABBDBQkm20kssAFI87rPW+g6adK3P32tf07dfqeJ1f7Q9bvt6On0 rZTt8NdXzA/UdR1Gx02j4t/d0ba/uZ4vW/tLs6J09JtPcf5tVF+p4mno+q6jX+839bTd3rcs 7NjoNjbq9L3NXOr9AOff671P1FvS9et6Py6fw6S2PS3fe3PbT+p6u3tatTWnRpnhJHd0/pe9 rruRtrvVgeVsdPtbS/h7aT5z8zr2Ol3t9/w9Gp98fM9rY6DptqG9L1vnV+h1JafhxAHl9P6U lXe3PbT+p3bHT7Oyn+721pfOfmfZWJlApiS5JJZ9iw6AEULFBVAdADFiawNmEYAISZQpGAdU 2BT2MwjX9JYlWAwlchcopxgDOXBJxIxR0DsBQAhFALAWHkIuBLPAYH2LAGUQlgAwUFakgBBY aWBqQIuUSB2AEQwQBRIOaGsGQCsOpR3EMAHMBg0FgBfQKwJYAMXC2SKrYBfgzk1UIowC6AcB 2AEqA3USAHYz2NZDnIGGpkEr0NUuZmZA6FUeyqSJeQFWFKhRCJIBRfclkQJWFZDDFIB+ZabO bEi8gKEFVNkuAFEiEANJB2RT9QEUCRANxVAVmIEvmJK8FgCgcgl3Gs2AkJK4AKFeahF6jWoE hVP8ArCgH2Cpx9V6n0uwnp06nu6+NP6nkdX6l1G8nOtbW3xpcfUD2up6/puno9fxa1/Tpqzy +r9V391NaGtnR2v8zyNfUq22pfLsc2veerVDb1vhWRB2a+p01+Gdb5Obd33qcatUv8uk+a06 9X8z+FcI6Ok6Tc3X8OxtN8vC9wPiluav7F9T7dP071a/h29vVr1PhSz1+l9I0qNXUa/if5dN vmeltbe3tafg2tGnQuyA8rpfSdb/ABb+v4F+XTVnpdP0+zsKNrQl3uz6kFKIBAiRCgigoFEg KCgUKQGYYoSQAKEgIiQgCEoJEESUCUAAkMFAiQpCkAIQ1PTo0PVr1LTpV23CPL639oOh6edO 031Gtfkt8wPVSPj1XWdL0mmeo39GjtNX7H5bqvXPUerb0bH8LS8bar8zm2+g3tzV8e/uQ3es tgev1v7TaVOnpNmf79z9Dyd7f9S9Rc7m5renj+XSdex0eztfy6PifOqp27HTbu8429GrV4QH l7HpulV3db1dtNEd2zs6NtRt6Fp8Hr9N6Rqvvbi09tNWehsdJsbFdG2p/NqqwPF6foOo3qrQ 9OnnVRHodP6VtaK7ut63wqI9Ev8ABRnb2tvb0/Dt6NOldka5HEgAYuMXKkSETyBKakUVkldw wJ2sFBVixyAae4fqLtaSQBCgFW9xV4oVgAs/4Jpe5UjPkA+xYqPd2M5YDF8mXSTQOYYAm3Pk knDZWdidVQDK7lAxQEAENYBABfYZkAD2IQAGQgAEkIUhgFAgSiAM/UYqXJYAE71LuSIAJVEO QAORoFOQIBiAi4B3YMcRkqMDMBg0jOQCCGoZAIBj5RUAyEGgUVAw0HeDdrGLS2B0YsKDkVS4 D/gVagIVcBsSuSgcXAhQJRkV2AVbkvcq1JWAlIoBV2ArwWCVyWQFIrYJULICiRQUdwIUQ4Al YcAKAovJLkkKAEJR3DVq0aNL169S06Vdt0A0qE2km9TSSu2eV1nreztzo6fS93V+Z00/7PF6 zr97frv7rjGhUXyFHv8AVesdPszp2v42vtRfM8frPUd/fT/e7vw6Py6aL/Z5mvfcOPwrlnx+ N6nOhPU/zOxB1auop+BR3Z8NW69bpO4/ojK2/i/5NT1dsHpdF6X1G8k/gW1o51foB537vVqU 7mqnCsdvRdB1G+v4W18Oj8zoj2+k9M6bYq9P73Xzqt8jtA87pPSdjbrvN7uri2k9DTp06dPw 6dK0pWSVBJASISAiGCgAIYKAJEhggJCSIBQoESARgkRBCSEoCgSAIKBJICSJIUjO9u7Wxoev f3NG3p51OANJCtJ4vW/tL0m0np6bb1b+rl/h0/qeN1PqnqnXzp06tWjQ/wCnb/Cvdgfqet9R 6Ho5W91Gn4l/Rprq+R4XW/tNuap0dHsrQvza6v5HnbPpzbne3PbT+p27HTbW1/JtpPnIHDuL 1DrtXx7+5ra51uF7I+2x6ftaa7je4/kj1+m6Dqd6unbcfm1UR6XTej7emu/ret8aaIDxNnZ/ o29EcLSj0Om9K39yu4ltr+6/yPb2dna2dMbW3p0+EbQHF03pvTbddSe5q/ut8jt0pJfDpUJY SJZIouSihEqqALDBwNCYAiVhinYFYCmg0gCVgLIWVRRWYAiVhV/AWyBVBpTUY4K9LACUTEEr snlkrADD+k1h1kIvIBWCo6ZyVbFTjsBmqmLFTMmmgnlQARcyjdKxNTLWAILDzUPIBStSalir A7WAIdZQQK4LsAAxYgZQRwPcgBFQQQAgfcSYAg8CQB/gBQUALFAhgAWZKBBgHMhPBpxBl3AL kx7gAYuDkUqAAKxSXIAF5IQacAAU4FAAUDkaQDdAPsjWKmVk0q0Al2EEKAeWxQLLFZAUS7Ex XzAkSJEgEk/clYV5AhSBX+wwgLkkoJEAqpKzJK4oCX2FAoqPgCQ+CPl1PU7HTaPi39zTtrvd +wH1SoY3t3b2dD17u5p0aVnUzxOs9ebnR0m3H9+u/wAjxuo6nXu7j1725q3Nfdij3ur9d0aZ 0dLt/E/z6rfI8bq+s3d/V8XUburW8aePY4tze+Ffi1LSuFdmE9zX/Jp+Bc6rsg+25uuG21o0 /U+S1atX/Hpv/VqPp0/TPc3I0aNW7ueJZ7HR+ibmr8XU61oX5dNWB423svVqUzuasKP8Hq9H 6Pv7qnea2dPDq37Ht9N02x02mNnbWnl3b9z6gc3SdB0vTV0bfxa/zaqs6gICEBAoKBJARYFE gJEiFAQqxQUARDBJAAjBQBIkUDBBIUQooEJIUgJCjn6vrOl6TTPUb+jb7N1ftc8Xrf2n0aZ0 9HsPU/z7lvkB+ijPFzz+t9a9P6WU9797rX9O3X62PzG/1HqfqP8Ay7uv4OP5dPyHZ9O0Ku5q ep8KiA6+r/aTrN9vb6TaWysNL4tRwPp+r6rX+86nd1S863LPS2NhafwbW2lOEqs9HpvSeo3K 60tvTzqv8gPF2Oh2dFfhe4+dR3dP027uv4drber/AKo97pvS+m2q6093V/db5Hdp06dOmNOl JLCUIDxum9G1uu9rWhcaas9Hp+i6bZ/k203+bVVnSqEUCVx5IgCCVMiVADBDALIF7kWCYEWS RYAsEIUAFewkuwMBAcQAEDceBXBRyAF5Il3AFVFyjWHSQVnAB2J18gldsgLgEaUVawZj6gNH 7GYuxS5dCfEAZUxJPmalBTXAGWP3FozWJQE/oGBhK1wWaUAMOhYHAK4EAlyAYCscjyERUC7A IcgD8F7F7kAclgqkAQTJXmpAFwQqxAGCgnYs3APcBB2AJrIOIGOAQEgtQZjAO4A+ANYMvwAB lyPsWAD2DDoKuwjhgZBqTURIMD7JUEkSsAjQEWmG2gFDBLNBwBLiR8oEoKoCrsk6CSAlkQFI CVERIUBLwKqC7DpAhUSRydb6l0nRqN3dT1/k01f+gOw+HVdZ03S6J393TpeNKq37H53rvXup 3p07CWxo5vq+eDyXvPXqbrrbu2xR7vW+vb2udPS6P3Wn82qur/R427vatzW9evXq3Nbu25Ob XupP4W3r1fl0ktG9r/mf7vTxpv8AMg3uby001aq406bmUt3Xxtafmzs6D07e3v8Ag2aZ1ui+ Z7XR+i7G3+LqNT3dXCpp/wBgeF0fRbm7qjZ2tWvVnV/s9ro/RNK/F1W5P9mj9T1tGnTo0rTo 0rTpWEoQgZ2dra2dHwbOjToXZG5AgEgFBUJEgEoIUEEDBIgISICQoBAhREgEUCFEERCBEhS4 Rxdb6p0HSSt3f0vWv6NH4mUdqDXq0beh69zVp0aVd6nCPzHV/tNv7jejothbc21avxavlY87 c0dd1uv4+q3tT/7ufoB+j639oug6edOz8XUa1+Wmn5ni9T636n1rejZ/haHjbX3ZjY6HZ01a e4+9jv6bpd3dfw7W09X/AFQHlbfQbmvU9e/uVd4q/mdmx0m1t/ybanl3Pd6X0TW/xb+4tC40 1Z6fT9D0uxXRtJv82qrA8DpvT+p366dtpc6qI9PpvRtvTXe3HqfGmiPVqWCj57Gxs7OmNrb0 6F2VT6FyQEREkBImRASKCJAViIgIiLAAS4ErAQEuCAkRQQEqEvJYJAFsF5EEBIiRARIsF9gD lEnckVAJ+QQugVkCVXSwWkU5ngoxcDK5akn9SlVJK/xewA4gEpGbwSswBLgFR1ya7djNpyBK wNRmRVWDVwCoO9DSvYIfsAYAfBLIBzBcsispACoyIA7A6MS8gZtksXGZACAmV7gFyFpgAEyL uABdQJZAyqdwgSAzYhjuVsgGGZcD5CydAClSiR7AwCPJE5gGAOwKsmm7h2A+0MrErxJAIpUB WNICVxQIVmgCrTJSVC0wBIe2AEBRZsRKQGkErMG1p0ttpJVbPJ6r1/odrS/3L1b+pUjSoXzY Hro4Ou9X6PpJ06tf7zcX9Gir93g/NeoetdX1Sa17i2tt/wBGin+2ecnqalL4Vzq/QlHseoeu dX1Ca0al0+3xodX5Z5a16tU/CvLZ8Vr0t/w9L3tX5nZH007Ovcf8XX8U/wBGmi/2APc0vVCn d1cKyNLa3Nf/ACavh0/l0/qep0PpG/uaV8WlbO33Vfkez0fp/S9NVaPj1/m1VA8P0/0rqN1L 93trb2/zaqf+z2uj9J6XYrrX77Ws6rfI7pKQNKihUS4KQTIgUQCiiEBAhQCgEkAoKRQCgiEE IERIUBEKICQokNNOl6m0tKu24QEhPL63170/pp06dx7+tY27fOx4vU/tB6h1TejpNC2NL/Ip 1fNgfquo39jptHx9RvaNpf3O/seL1v7TdPtzp6Ta1b2r82r8On9WeEuj3t7X+86ndb1O8uX8 zr2Ok2tuunQp51VA+XUdd6r6hK1bmrRtv+nT+HT/ALM7Pp+lV3Nb1PhUR7PS+m9Tv107bS/N qoj1Ol9F2tKne3HrfGmiA8Dp+mj8O1tw3hKrPT6X0fqNyHrS2l/df5Hv7GztbKja29OhdlU+ kAcHTek9LtV1J7rX5rfI7tOnTp0/DpSSWFRCrEURQyRASIiQEskWSQEuCIgJEiICIiAiIgJK hEQEiwVyAkVCIAIQsBYIiwBESLwAR9SxA2DkCLuVCACdUMoOQKuAeVgUUOOQCnzLTcveAjKY FdsLaTWJCHyAK1idrlJUiOQM25H3LT3uiigGckTzUkBmsFSKi6qoAU0gExwDAHJEQASH7h3A FcoYyFJAzkhRYAMXD7ioLDAEoLkrgBAyLAASqNwwAVqgG4WAF2BmgpPAGcEkIAEYoEGq1M1A LYDAxgoAy2uAzCNeAd4A+yXcUsIFkYpAEr9zU3BRIoCFApQqwEKJCBLNCREgFWJFg4vVtj1D f29Ojouq09Pf421+J8Q8AfH9pOr6fZ9M6jZ3N7Tp3dzRGnRP4m54Pxn42vibW3p5dz2N39n/ AFHS9T21tbmvVfW9ct+ZqzmfofXaNT1b3T7u7qWYlLxgg8/bcv8Agbb1v8+ux9dvptW7rS1v Vu6nbSlT5H23tjqdGh/DstP+5NJHy6Tq/V+jlbWvb1JuWnoTX1qB63R+j7utJ7zW1o4VX/o9 jpOj6bpl/C218X5nVn5zb/aD1PRP73otnc7rS9P2Z9tv9qNCUb3Q7mn/AK7lPqiK/SyUnibP 7Sem66anv7fnbT+zOva9Y9M3HGnrdpP+9PT90Kj0USPjtdRsbqna39nc/wCu4mfZJxK06o5g oRRhalNzSYGhRlCAoQQgSEkQEKJEgFCgFAJIkKAhMbu7t7O29e9uaNvTzqcI8frf2k6PZnT0 +nV1Grn+XT+oHuI5es9Q6Po0/wD5G/o06vyqur5I/LdR6p6t1yenRqeztvGj8K+dz47Xp6bn e1vU+NIHqdZ+07bejounrjVuVfyR5m9q9S6/VPVb2r4eNThfJHb03SJP4drbh8JSz1ek9F6j cruRtL+6/wAgPB2Og2tP8ye4+9j0Ol6Pd3fw7O09S/tVEfo+l9J6Xah6k93V/db5Hdp0rTp+ HSlpSwlQDw+l9D1339a09tNWep03Q9LsV0bSer82qrOm5QUSFEVQIki7F2AsMiJWAoLJF4Ak RIuwEUCiWQJERABIvcUAWKBJACRISACwMBAEREBYIuxAWCLBICgIEAJUkiKtgLwSqSuWQLwB ckgJRYiWSwwCYKvJMqRIFSpk1jyEeAJRIOsii5WQM9qFHyLsqkqIAhVJOJLsq+SapyAV5D5m km6g/PyAMVqZ1GrZDPKYBNLBHc14BqoBiAtkbh3YFKYZkuSpwBAKsGQKoIaXBQAAaMqwE7ER PkAhg69xDIF3CgsEBBAxyAADWBdy+gGQYpFUDOCEyBchighzAF7GRwAH2VhQJORSoAqI7inU NNuw0AUSoC4FAKRdkSsSsAqwruSsCuA0EFkVaAJSSVSVx7ATU0bnsz57nTbG4vh17G3qXfSj 6ku4HHuelen66vptC/6yjn1+gdDrmP3mnhJyj1VUlYD8/vfsvsalOnd0vj4tCOTd/ZPVE6Ht avGp6T9WsipwIPw+9+y3U6XTb1N/2tM536T6n0//AB7nU6I7akvof0ElR3oSD8Aup9d2aLrN euMa3P3Ppo9a9Z23/E2dnd//AM0vtB+61aNvUvxaNOpd1J8dfQdFuL8XTbXso+wg/I7f7Tb+ lfx/TvfTra+6Z07X7UdE/wCfZ6jQ/bUj3dz0b0/U/wDj1af+uo5939m+k3J+HXqX/bSmIOXZ 9f8AS9f/AOV8P/fQ0dmz6h0W7/x9X0+vxuJfc4N39k9Dn4Ne0/Zo4939kt7+nSn/ANdf6iD9 Jt6lqU6fxLnTX7GpXjyfj9X7O9fstvb/AH+lrhfoC2/XOnpo63fUY1N/5IP2Sh5RpI/H6PU/ Xtq+rb3Y/Np0/wCjo2v2j9R2/wDm9O0a++n4kFfqVpKHHg/Nbn7WN7fw7PQPTuvOvVKXsef1 G/6r6g/4+9q07f5f5dPyQR+l631n0/pJWreW5rX9G3V/Ox43VftH1m+3o6LZW0uY+LV+iOPY 9O29NdU7j72PS6Tod3d/Ds7Ta/tVCjyn03VdVufver39WrU/zOWdPT9FtbdVol86qn6LpPQ3 ff3Fp7aav5nq9L0PS9P/AMe1pn82qrA/O9J6X1W/VbbWn82qiPU6X0Xa0V3tb1vjTRHrEqqM lGNjZ2tnT8O1t6dC7I+kFipAXNal9y7lgCQoEKAqFQiAEJErAAkyAsCrAQCQIQIiICIsEBER AWCsRASIBAiIgAiJ2AqEiXBICREQFQiwSAOSHJACIiwBRUId5EgDsiwRKQLAJUHAVAronVMk qslaAMpxQUpdLlbJYAIUAN8hPYAnPcpSoKivcLJsCw6g/JYJpgFLfQgiKjNQMzV0JjQFcAxB NU7DFwgAASpwABFaj9Q9gCtiSSHFQAgzcQAIgOwwywwIIJcE/IA2GLiWAM1KqEKwAYuWRdjP IFlgS+ZOKoAbgORxULgEUAQyAVgEn4NBkD7ErQCNYuArsSBKoqwCiRSsCgJCvqCFAQxcJFZA VwSZKJgkBKw5DA+wF9TSqEUHSBErkuZFACFF2FVAokVKmAitRVpAlwIJmqKwFNBwGBSAe4qE ZmaGtP0AdPNwcOkSu48pErsD5a+m6fcpr2drV/8AVHw1+l9Brlvp0v8Aq2jsVBVXUDy9foXS am3p1bunisny/wD0DSnTqfno/wBnspQhA4el9K6TZq9L3dSzqt8jtS+GNKSSVooM5JZbASpB EgASWRSgCXACXIErVJFgcASIBAiRYJAUkskCAUSJCBBhiCYDgBIAEIIBIBAkXuRAAoiAiViJ AREQEiAUAENOQAiJcFcCLkpICCaiAErF9CrBYAuxUkvBAHuUcEQFcGr1EnGQBVqSyRADnsTd O5chPt2AVSkGXRmvuDhgZUua0J2uNnyWm1QBO9EUcA0pFLEgDBk4kMuQKyByOpUDu0BYD3KC AF3ksF7l9QBh2GLl8gC4NdhtcmAVVAmjGCAA5FhigFTAVRZJdwKeQmhEABZDyDAMQXaggANA xtcgMtBWo9g5qwC1gQrILgCMwpNeQoB9kVvkVhQFXkV5JFmgCrigVqXJUA0sklkkSo2Be44I sgJLyS7olUBRJEXIChQULwA9mSIQJWLFCQgKpcqsPcVNUBKBkl3FcIBTm5VwGm/Y0rMCSqT7 Eu1xiagCdKqDSeUDioqbwA3RRwiThOUVgFUuWSwSsBElQrCrAVCIkwJXGLkiQFhh7jNCswJD 4BDUCIgQCiJEBZJcisgAoiACgcAhAvYBJAQEOAIiQAJESAiwRASIiAiLBARF4JASyQCAZZYL BARF5ICzUiACLkvcl2AsESuXIAiuWCAuSwRAHsSfsIdpAvJn+pwzWICO4ApJ0KbwyrABjiSx QZj2CKyAOZKYG4OLyAZqF3QcNoLPsAMsscGY4qBBk0ZAIK2RxIcgSSBliCgAJ3uIAEQgd6Dz IATtQEMeSgA9wFgu4EZ5EqQAQoKKPglYgDkHMCDAMAPIYAsGTVQ5AJuEdxQTUA7hRSOQ5gD7 KO4oNORAcTQfcPsUgKsKsGmOBQEs0EiAkOSwSAexIOR03AlkUHc1gCQ1XAIQLSRL6CgJR3Ek iqA6SkkSu5wAruRIcAKLMq5JCqgEJuprTREr/oVnUBidLiCUhWIkXbsA4gk8oFmLiqeQFFyS kohQAwSXsC+wgS5ZWJKkYJeQFQSBCBYuWCRAVBQUgagREQEu5IpKgEICBIBICIFYQIskCASJ ArASECAQEgASICJFyQEiAUBFgiAiC4oCAVkgAiICyRUICBUQ9goBEskQFb2CtR7FbIASyTvA qvsBkUuSrXgPLAshmg9ytQABirk1RgZu6olRC7BewE65M9pF9ycx2ALSgVxSU2YOJsBRS4P6 EWQDANDhwy8gZJNlHBRFwChDyAA6uhDgMABMslgAoHIg0AOSHAAWaAStgoAjKsagMAF+QeRr YHagAwUjLC4A0TuJmALkMCFgB/UORUEwPqqShQYFAP2IsNDcCQoFZyOIsBUwKqHkZAUSJZFW AvBArCArIrkEKQEhXYBAVkgQrgBViBIVR0Af8kU0L7gOLlfwWmYHFGAqtKF9CwWQFK4q1/oG mXLFeQJX+xpWrALL+RPkCTm9xQLP0NabAIYL3KwEpSFFpJQwEFyUVL3ASKCQESJFACRYLsAK wpBHuQCSLuIEBEBEhSIAEgAUWAQgRESyBIiICwAkBESICIlRMsASsREAF3IcARckQEREAEWC AkRYIC8gIeAIkRAWSIssAsREsgQRkYoWKAGAc4GyJ4mwB2LFC5ZU8ADvUFZ8k5WSVrfICqqh 9xYRGAAMi0viqHIF9Q7CEcTIBjuEGuxnsBWCogqATD6iGLgVAKC7AHyLuWOSwAWBi7ABVBDk PYCywHuAECfuRIACRyEABYIlbAAExQVDTAACuR9weZgCMjgGB9sDpQKzFZAUIKq7j3Aldj2B DlgOBwZXkUAkmXJQA+4r2DkVnIFI+AQqiAkNYBXgQJErjpV0XIErUK5UgQHBCuQXIGoJOUyQ RTwBrT9iXYEqGlRxIDpEzTkVPsBI0rXMmn5AlYU7phgkA+HUkhBIBRV+RL5lkCJErkgISuQE iwSJWASIEAqC+5FgAwJIkBCiJAXJICAuSQgBLgiQgSKxEgIlyAgSIiyBEgECRFggIBVyAB9i IAEi5AkRdiAHJEWAIiICViJZLAAiIgLki7ck6AFrEmRcgXIDh0BASLFGS5LkAVgFL2ksdgDV axImoM1AW0HbItQpuCywLF6mf8GrSzPsBUkzk0oUg+PsABkbEAUD3HNgkC9wYyCqAeSIu4AA 4kFkCkBRAGIAZBZkAqS9hDAEH1IuQB81DESIYAIJUxAxQzcAWSjsTVStcACsC7gAcwAuQoB9 k7iiVV3JZcgKGhlGsAK9iRL5FIErjYiVgFciogyvYeQElYlZku0gKEB9wJCCuK7vIEvmIKoq LAOKkpJEAkiViqArKHNAVnAoBsiXcklSRdwLT39zVHmDKfYVmEgHSkmTBWiooBxQdKoSuGQE rFhl70AUyyS7FeQJkvsSVC9wIe5F5AlaCKskAoiJAREQESoiJARYEEBCBANyAQIiugAuw8kQ EREBERAFRIAJCiwQEREBAJICIkQERUACJZIl9gIiJAVkygiAMEOAAiIAKOxQVkSAnIZkQ7gV f/ZZuirUmgBUKO5exZqAPMgl+HyPakEqyAKtwcQ+RxHcyr2AaGc0/wDZpWZmlHUC73M8tGlM AqOoByEC4BAU1YdhWah7gQDeQxYA5LBABfIitUmAdgaY+wYAkGBQJgTCkSN6BgARLLL3IAkr pl4QAFGViuSngAfgzW6NYmQfABkHNRCwAiIMAfZeRV7hpf8AoQFVFdwyKAveoruCyK+YCoJB m4q1AFESJAKkcBkkAiuTKuK7gKFMPArkCqOKhWCA1iCLS6MgGyuS4wRIB0+S7Eki9gNabVHL BfUVMAStcZTQWGKMCVJNKxmOGKswFK5K4e46QFf+yo6E+CASL5Er2AkSdHRlZErSAqheQ5EC UkRLICRLyQAJIgLBLJEA4uGCHwBAJdgLAFYlkBQZFWICVCLBACyJEACWCQEi8EQESuRATkiJ AREQESyRKzAlkiLAARYoS7gUEVCyBEQZAkVIZKSQF3ByPIdgKpVhovckBIBYASsTdSKKAZtN RpIVs7DYAaTVWFiZaXRgTpUJjI4B9gBLgBwFGwD3qDvyIO4FSAfzHDACB2uLDAEkkAgAFmCe UUgHJF7F7gACWWAAIfUCtUKiHuABY0AA/Ici4qGQBWJdhaoZfKYA/qQmc1AmGKjjIVgA+QTc eQA+ymRSBSNuAFDyZRpKgEhVpBCvmBCmFBTAUSIkAkg8igFdhDwScSAqBBEAoiRIBV3yIKg1 yAouwIQJGpoGlKKXFVkB0/cW6NNqTKXg0rASiJb9hVmH1FTYCVBlewYlkmqgN3wOCUtF5wA4 sRV7EspMBVyYKzSECSIlkoAlZiSK4EidskSsAogV7jigEXNSQAKJdggQIvsSIBQCADgkRIAI hAiIJASWSICBWEsgRVIgJEAgSIiABIgIkRABEQEiIsASIidgIEIARIiArB4EFcC+pXoSoS5A KlBBgDQdslgIAif/AJ2D6k6SAIlGbMUqA7PuBWDlyUualHNgJQ1CMtjj6Aq5AnxgLk6Jh7gV eQ7sfDAC5BfIbABOgCwT7ADIcXAAB+R+YOwEgkaQCyBANHIQBU5qBXuQAUEUsAgO4mcNAUl5 KlycWAOTK5NK0GfkBchySzYnwBOxmEJAfRUlmlUPsKAV9RBEpAUKsAgKIMCvIF2FBHIgKJQC FUAaQSKkFewDyK5BCBKghdCo5AkKBCBJVHBJ8XL7gKFuV3MircgKqoZqMSYVzat7gCmDSkOx LxADe9xSjPkoBZgDSL+qMAne4vICvqRIkBC/IcivAEuSViKOQJK4grFIDpaqisSK7AlZlBKz JANCViIC5AV5IAEoJXAiEgJEQARIQQDgiIAwJEBEQIBKhEBERICASAiIuQIkQAREiAkRLuQE REAEWC5sAqPYBDAEGC5LICBK5ADqijuS4RY7gUhHuODLdJ7gKzgGPfAPKkAXcnMFHyCXIEqq C+GUVS+YA6sKZL3JWqAZDI1CwE4gIYsPAECIgK6YJEUgBYoQQAmaugoGAeSikjYFYCAQAIIi AAEPAEGRZmQKge44qyAyGBtOQwBMyaAACoxyAH28CrgrNkgNYIFVCgFD2YWJU7gKohAgEV5A QJCnQEPkCvcQuKzICiViRKwCKqCklICKqZpA0AcjyAqoC4kV/LQyu4ptSBUuzaqjHg1p+YCv LLSnkldkuQNZCs0KZVCUT2AVXAqIuyVqFi0gWkVapmWhSb8AJeMEoqUgMUgrIi7AUis0BRUl kBREQErEnyRAOCqCczUVYC7AJICRWyRAWRAkwFBZCQBgSRACEEKAiRAAkSoiAiRTcgIlJIgI iIA5ECwBERARKxEBERKwEAgBIoRFWAJQWCQUkCV7ElBKCVbAWQdx5B2Ak1BU7FWCkAdigpwW QD3ZcyWKAnUCV7Bqi5pWgGALsU0dS05lA1wgCXIKawNlOSVgMtksjYPIAWCIAVZoRZLHcAZd ywDAvmWW7kmE1YBWHQnI+AAoAZpASBBglm5SBQZSvUSVgDJUZMMgUzkyLKlQCsGcZNZDABgK RI4YAHkMjYAKag7tciw7AfVXFVsCHsAq9BQLkvOANIiUEvICixUsEgFCgn6F4ARWQQqwCoJU uCeB5AlECCHyA3RaeCsQCSs5DuKAVzA6asFwS8gIrsHYtNwHA1gknBLyA2mpFdWqUUvYDSt/ kknWoaXE9x0gOmVTkYnIW7yPgCVyT+pc9yhgKKLgm3dEBpfYs0BkoQCXJZsCpkBEENQJZIsE sgVpELIgEna5IgJFyXuQFgiKQJEVYICIkQEIfYgHBYDA9wLBEiAiBCBIiDACQckBc8kRRQCI ioBKxIpLAEiIMASLJYLuBYIiQFgLoQyBLwSRFgCUxWwKxF7gSXNAar4G6CcAWWHzFdidQBpR E1CKDQIlXAq1B1io4uF1cAQNymaU3CyvUA7zIdx5M+AGH7A7FMUJtZAAGoVsBYC9CVqlNwIJ wPgALmICRQdmBewXKsFSwFFahguWQBJMuwUvkCwWICwgGA5EACQ+whUAkmVUWnIE+xkXV0Zl gWAY8hW4BySoRKgH1QrwEjgBRFpVCXcBUinVguwqwCuSJZECFXuCyWAFMQRLyApLgkHIqoCh mgCrAKIF5IBHsC8kBrwQIVFwFNwyTBVEB01TKxabCuAFOsiZ7Di4CnSpJd0gVxUYAbodLiQV HdlNLVyAok+CTRUmwGkSyA9gJ3JMgmPAGkWOSVZICVymhIMXA0RJl5AQqX+SApYgpyQEhJdi AiXzIgIiIA5FZIFyAokyRYAZwQEgEgIBAkQESyRAVSwRARIiWQIsEkQEWCwSsBBgikCIiXcC ViRBNAG4EuCQFGQFdmHfgCumWKkuSsBPsCWZqTKlWAVRK1WKr/gNV+wBMk7EoihYALvuFR5m pKquAOFQKLI3CnkCurh7kTAOQ+4viAQEgb9xsHsBWDliAEwRFkCmlgRWLAAAgwLFiIFkCZFg ACstEIe4EgxcsQSsAeQsIUkAmjAcBhgWAmhKYD5AQPgeTLtYCYe4vyE9wPqrDWHaQT7Dp7gI gmMAKFAiA1FwUkmP0Asiqh2FAKJZLmSSyA0RIF5ECQrJLgV2uBCkBLgBUlglYqQA/cUHcfIE rigQq0AUipkFcV9GBJxMZGoLI6cga02tJK4TC7jfwA0zcnYFMUHNVQB05FdouZV5f1FXAvdi o92XgIrPADFCapCKbDilwKyuX+SWeSVgEk5ZfYoAhrIZqS7gNwtIp4JAXuSKbwQFMIrkWO4F 4EFQgKRIgIkgQoCIBAiRZoSQCrBCL3ICIiAiXJYK4EREBYZXRFgCKxYACwREBK5EQEim5fYA FBySTLEMCVSJFgAtI4CheQJWoUjYy3mwBFaj9w+4oAmKZB1XgqkrNoCUTcnNitSDLnkBSnwD hOiJOCAFqcwS9gLyBc1DBclgAzcimpYfAACzLKwgFkVCSJAHJFhoIAmGBQYAuSyQAXJUKQAP csCwAE6ENsgBUiiMjkLJgFkCGskrgEyAsAJmaiwkAwEiigDNpqUrkoygzUD7KwruCqKsApZF WBYIDUEskuLklRgKIiQChBWFAV0Ki4XFASEPuKsBKwqQRfcDRINORAVahJhJXA0S7kgUAaRI iT5ASREr3AVEWJfMlUVSQFC3CMq0oUu4DSIUoaMF5JQBrPYk/mCdytQDSmC7PIT/AOIk5qAt 8CmFVYrAMFyWCVZAVVNF5Be6JcAJFBAS/wDRF3ICVuRVCXBcgVCoRAXJIiXACiAkAkAoCRQy ICJEskgIkRICWSLsiAqQWCKQIikALkqkQEWS8EApAKACuRTfJKiAgv8AoIASzckWCdFcCXYO SIC9yUxeCxEkAN1uGBhe5SgKjBtz2JOjoTdOwBd+Cs6lQnSkyAL5gqZFWAB72Mt3RS4xAZqA xlhT3KjUzYOQLFiGi9jMK4E6kWAXcA9yHAOncCsRVYAXIMQwAVLHcqko9wL2DwWSAAk0ZvQC wA2TACcAIAWZAsdguBUgMDgGABI81QUyAFQYuGACsBilC+Yf4AmWSdgsgPsSDDNLgCVrirVC VAoBVGKMo0AxJdgSFOgFbI4AUgFZRIldkBYkU6ditYkAzUUzIqwCKBEgGwoLuBAkRCwJWFVA lDVAFCGBQFpuKqAp1hAPctIdxVANWdCxUvDKHFwFOZs0GWS7olEgKaXY0mokyrOGOK3AcoPa GRAKiCUz2JKE1ySc0AUobqSoirJWVQJcUFGRV+QGJQKRJOjAkmRVijLEgPyLIIfcCJUJRUkg LkvuUEAgiLkCqRIYuBFgKlgBIFYqASsVyKoEyRYKEBYKogBVLuSkgLJZIpAuxYglYHwBZkiG ABESIClBQYDAEXkl3JgCiaFZsP8AI2ArJspyVYAAUXsTizKrJxMQBTX7BM8lFJBzEgWBdLhz wE0Amu5L7FTOAbAnMVAl3J0lMAyVC7FyBBWSwQF7GZErAVsgNAdgIKETQBgEPhlgAwRSAFe4 CGGAOSIsAQZKxe4FgziStknAEnkHEEwhgVw5H3MgOIM0qOKABYM+BwDv2AnHBnPAsykpmQPu hVJqZQrkDQvsCFZAhT4DSKAVYQURQlmoDhskSZAKkVkBSrcCVBQZZYAUILkkBpVJMkSswHBK QwOQErES7gNnUky7EgEr9gFAJLlAnI4A0rB2JUkv6QFZFQshFIGswgK09xWUGXI1rSAHMQU3 BTFqipuwFNwS7BMvsKAsVHNAUxyVu4DNK1G8mVQ0BKxTEwypEE7XoBIUwmncpmoD4K6BXGOA LkiTmjLlAS7jWwYZYAaFgBAlci+5TQCIkQEiwSICIsF4AkqEvoXYgLAoL3LwA2QEmUgSICSV WBFyy0lyA8gWCAlyTIPegDIEixYCJWktMyydAJWDBPgnWagXb5klKYJQmUuZArewSp4G/wAg 7wBJx5KSqkZrIDX5BLHITSFyBOcsJUdipcnmACJkCICYDhhiEwJXJk12CQJAIAUYYYFABKS7 EGQIBfkOWBRyXsF3UgJ5CSJ9gLLAlZkmBYCSD2ApuHYuckBQnkz2HDIDL4LBTUKVAqAM/MsA ZdyKfmGWBE7WD3LABMXMuroLTkGr9gPsjQJ0JAK7igTIBQokSrgBXccAhQErCS8l2bAVkkCk cAPuSJFYBoKcoyPkBFMFJLgBXYiQpgSGaBewqwEiQCgFCsgQCrDpqGCVAKINK7M4FKLAIqUC mGKiQNTwyUTUzYUqTICiTltYCRV6AKyicvwXMQWIYCrXoSpYFlIk6gNpGkQFJZL6AKHAdyTQ CqFSYoCHFACU8is5QL2FAM+5X4CvBKwF4EBAip3J0KQKe5EQEslNBBXAkXccMJAQmLEpwSUT AFgvoXaRAkRXACK7Y+SQErAIcgWCvSxYJfMCmhTCLyQE+wK8fMiQEXuTsDsAzUE6EkX9IEEU lC2gnkCbwyTd4oiVwVaoCsU8FgE/0AqxWhKxZB2pYBbgy2ndFcOQGEEupczYMgWKEoJWD7AS oWSJ8AGCLJABKxdyqBBI8h2AAGCAKkRABULyAFyyViXsSAFkPIsAKgMnRVLL5AFZlPgpwEgV S7QDUZLkCB3J9gUATZlOZGaB8gLuA1AAkGIAZ5BC7Opi9mB0LngUAgPuKsF27CrAKFArv6iu AEroFKsKAV4FZAfADgpDBAa5L2DAoCEF5FASfI2YFjlgaXYgQ+4CvJTwE8iuYAUVw+Q8gKyS JBWoCnEpijOBT4gBX/s1KMryOl5AhQZJU9gNO9iVGStlFFwFWdSlSCd6ClADMPuK71M3q2KS m4DPMlEqhO9CQDgtMNAvqSyBpN2oVgTUOEN1agA1whTkK37iA92SyCZSA/5D2K7FNe4Fclbs XhlppIFNBTU0BlQBXkoBNxwU8gJUuSABtJIl2BdwNViCLIAWCwSSgqASLFAJMBaJQVYC4DKl gSsyyA+QxCKslNQJDggmrAZ9zKahky+wES5LDJARckDrcCbCLl/glLvcCgk6PgnJn7gM4wCr gWChS2Bd2DuTdSdwJTyA4ZmQGZBFaSVLADBCSt4AsVQW8E5KKXAk6ML8EQFYJUiC5AvoGbiH 3AshgixVgSsAgwCKkoGAAgdGxwAFkB9jMUuAsOSVSfYABZRfMpqBVjkzcQAAhXFZBNxUCDFy km6AQf8AlSB1swLsZcCEXywDU6NQZbd4H+p1M5dQOhd2K4BPgsgKEqQSAe5pXdTKuK8gKtAo z3HtIDgUGnuKAbokStCLwAokCEBRZkFRDgBZIkQErCgVhUgKJF7EgFRIoE05JRyAskCeR+wC Syws2kSAUPcE6cCBIY7gSYCmKqg+RAORUpXoCKvEoDSipYdgQoCbanlipgMuBb+fACrlMAnl 3FX+oFhyIErgaUeOAULJLISA3XcYySiCVqWAlaBtVhSb0KVACWIM6ZrIsB7QFRmkFRICwSqi uVALtJKxFGQJUqSoS8ErSAqwKioNkQAiUQIJuGAyouBKIJVAlxBKLCGAL3JcomHiwGqLJlFc cAU/UFku5L3AsQioXJS7QAYlMilexKtMgElkkpsPsBLyD8hhhMoBbq06la9QdBpIBN0CqUut A57gPi5YCYL69wKUBdrkqVArB9irLJWcgWOwV9hT4ZkBAdPAcgU9iBZkgIiUBgCmoD9QuBVC pJxgn2AkFPIryAEAhdgUlHuVJD3AaQZFVCgB4IpoEgT8hgrliAB5yRMGBe4E2wcgTsHsIMAJ xaS8BkCwzLlIXe0mXkAbuGKi71M0gg6BVowCyPcodNy05klcpAVY0rGUKAUIK/YpoA0gUwVh AUNZAtNQGeSTriCJZAZFXuGCUQA2QyFiXYBhjigKCA0gREA5EEQCrORWQJMBJWhgrfYUAolb uHYbAKIFYQKRBD9gG12XMB2sWQNaaYklKsCZfOoGlaEMyouYqhTuAxSaCm7wSc5LloC01FXa BZJTIGlzQPBTJK1QFQlck4BfMuQFP8VRgym44bHS/qA/0guxFauAFUmPcFe4qwcoBqSDHcQF ZKe4cha9wNfYpvQsdwXZgM/MppS4KiKs2AVmQkp9y7YAZKXEAreScgVa1L2KL1JASj4bAndI fJcgVMlStiTUWBOssB/pKaBW8kAPnBJ1rYVZqwXYErQVJdSunyCsBW8i3WQw5C0tgJKlQViY E3RoFwEUYrMAFV4H/BUMu4FJeCViYFzIYLJAA3RGQEvATyQFksFygyBeCLkgK0hTNCvcgAib kgCpIkQEHMF5CsgKngMlJJ3APsREwBST4RTgMATCVUvIAU8AOA7yAexSQVnsBXDI1C2QBAxc A7AT9wnwXYAJxB83FWbdTFHYBmVCqYT+ZWD5EHSpwOLAqVHLqUNkKsCyK4uBdjXfJlQK8gOm 45bMoUAiF0KYGk6Egi5APIqgSNqgXkVYLigHJAKqwL6iiySowLkUCsyxcDS9iBEgNcEuQuiX CA1OA7SSTJXAVRlUiARAqgM0JWBUQgSY/cLWsSdWA4kVbsCKLgOGVGGmlRTdQFZZJ5KtUS/l gDV7EZVpGZfkBUpknQFCmo4wBTSYGqC9oLHgBpBcgneVUU25dALBTULEkpQGk0m+STWA5JOF NwNJ5JTxUzapd6pgaRYM8ipAcVKnAKXMpQCeG6gaSp3IpjMhWQFEruLAnKCaAa5lleQ7slHI CWKBaSbAnYpoGS+QDgKXqS/9FMASySh+xJ17cBdAN5BPuGBoBSCoJOMICU2km8QE3kLr3AX8 zPfBVJ4AqxDJu8SSctyE3Ae1wWSspKwEZc8CQEE0YrsAEXJRQMPgCZeSLAASeCsTkCmoFyQF gMZLBATYTwRAQF9yyBLuCr7DywswKALFyAibK0mcARQNDNLAQclWxUAGHYewKzAoBVUFWQAm BOK0L3ApUgxdA7gD7A5Kksy1RgE0fJmUM3p4MqUwKlagTdS5IOhZFeTNzSZQoVQyaAZwXkJY rlgIrKBFYDSFGU2KmoChVAySVwNWGZRlWFMBViKhIBViREgFEpAUAoohghAsciuAEBJIBThA QwrgvAqYAlYaGRXcBRJlgl2AS+wLgQLAgQCnCFeQySASywUQOAFOhSZV2KeANNcArkqIQLTI zEoJhEAqqL2gMim1MgU3m44uCs6EkAyuRURE0MlgBWSrwCsMASsxyCisIpfYBSuXYJrIzXsB WKbgnegprAFdirsFZzPBKOQJTHgsBhimBJQg7mk0HuBd8iYnyM0AXxNwfBKxJ5yBE/BU7oK1 AUu9y+3IDIEl3KcGXOC0ty5AU4c8hJcl/wCVAlkmqWBeUV6gM0MzWpJl5AqwyKboFlARSUFi 4ErgRAVeSKQWQKkQRPsEgRIisgBZIsFyBAIVAlYmBICsgGlSugChTcgAfqZxMimDgCRfYPJA FSrI2qgAHUiDFwJu5OxeUEgAYFsMAUoMFEBUCdidiCaADuTsVIeTOpcUAue4O3kn3Btp9gCa 9gcckZl1ILwHYebgB00JcMymhVWyjSTjuPKkE/8AZV8gaRIFcVACaRnklYDStUqguRXsA1EE IEjSMKYsaQClcUC7EgHJIiQChUAS8gOCqrMJNZAiViToSAUSInEAKuJlOlyuAlF6kKYFIgqU aCwGkREuwD4JAWAHSJlf+MpcAa+ZIByBYox9wUigLyRLNiAVUVEmRXkBmCWZCVIyvh7gGmZG YKyDIGk1DglEV+Zm1RTuA2XZ2FNwZToWMwAzglWloCrGbx7gVGpyaSpJnHYQLSuSf0B0JVtF QKykSSp2JXoBYIiVrgTkqtYKUmF/IDnkFGCm4LsBpcyVaszPBRIGpwHYLkgJ18IVUMlRASdC ZmRTyBeCu7h4kgLsSEFkC5JPkyOQIIvwRLtcBWQkrlgCDEEQElNC7FgHyAzAKoXcjSJgAuTL IAJBcpwBe5di7ABU9yyHJASKxdwmZ5AVNTNpL/A5AHEMvmWQ8ATsHIyEuAKtkDsIAHzLBPig ICbKeSVjLcgIORoDALBYgsBUqGBl1sCs8ADmAmbjZwjGrsAPVTgvsTtEByBLLMti7XDEkFiT I8mQOhcClXyZVnyaTbVCjS5kVRGVUUBpCmZVKMVYBFdwFAOnIpmRmgDNRVZMqkjRIDSuJlDP kBJAKhAKiRWQVqFKAeRQJkqOQHuKjkPsWAH3EypFAKJErkrgKJMLJkrAa5LkO5ZA1NCQEvIC OAmhLMAQoEOAGSvIKxAKJWD/AAIFSBVAICqKuCFAKJBJJ+4CUgiAUzS/lpczgvoAp05JgrTY Z9wKllYlV1ZTV1oFEBpFcJoIF5RIpKnNQKLknRgsigLBWkle5ASLklDokTAlMAmxTLDXIFcV aA9wkBUVjBRwEsANRlBNCT7kgJE3QuwAXkkU+4TUDTuDKoASLksMH2AaQwwSZLIEyLsACGAQ 8gUcF9gTKsARF2DEgOGgwSDID7g7kVgKbkw5L3Aikp7AmAguxWmSTwBAyIA5Iqyy5AjPP6Dg AIIuPuVMgCKQqFmwKZksZKYCaAUIEUl4kCwCyQQBIKTJU7kAMHVYFsy3X7gGQlVJxVrJmeAG laoyu5TQKyQTUSF0NKmQIJIGB98ijKzJrT5KNKleTSpVmU+WaWQFCZlqRAR0h9iVgFGgIBxI yFWQCpNKxlXyKAcEvuHgVwAp9xrwZQgIruZwa5oAlZAKASQIoqA2qVpJdyAS/wAAMAPuSsCm IKoCK8AuyL2YCKgyqsQHBWCxLsApigRKgCs1L6EuQwBogkcQBYLBexAKBZL3Be4GsEV0VZAk 3MDUyuwoBpBKHQKEAqzaZQCsxnkC9yqRKoF2RJl7knwAyUuQsXNAECVhSAOSwRKAHsgL6EgL mpcsp4ICsXISQCiQIvICEkmUXAl2KCyQETBVLkCRULAcgNgREBLKLBWyADIXJEBKagSICECY B7lgkiywIC5LAEHIoPAFciIAxcvYvYAJUXghCALATepQSd0BAUUqXIArlBWQAVgxcZi5lgNA qQAWAF0M1AfcJo0y9gAvAD7VMvugBqVNgzKGaGU/IFQzMDzSwS4AHKM5HAOSAJ1DBAU0DImU mB//2Q== JPEG MS_ARIMO_FIT_G2_M57_ACTIVE.jpg /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8S EhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEU Hh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAAR CAQABAADASIAAhEBAxEB/8QAHQABAAIDAQEBAQAAAAAAAAAAAAYHAQUIBAMCCf/EAFsQAAEC BQEDBQsEDA0DAwMFAQABAgMEBQYRBxIhMQgTQVGRFBUWFxgiVmFxkpMjMlVyMzU2N0JSU3OB lKKxJCU0Q0RUYmN0grLB0SYnRUZkgyg4oUdXZXWjhP/EABcBAQEBAQAAAAAAAAAAAAAAAAAB AgP/xAAdEQEBAQEBAQEBAQEAAAAAAAAAARESITECYUFR/9oADAMBAAIRAxEAPwDssAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAA/EeNCgQnRYsRrGN+c5V3IfKfnIElKxJmZiNhwobdp7lXGEK Qr1w17U+uRLetVYktRoL9mbn2blx/uEtXTSavTKtDdEps9Am2McrXOhOyiL1HuI9Ylq021KQ 2n0+EidMSJ0vd0qpv3RGMa5z3I1reKquEQKPexjHPe5GtamVVehDw0qt0mqRo0GnVCXmokH7 I2G7Kt9pT9/XxVryrrrNsVrntzszc43dsJwciFh6Z2PTbMpXc8svPzkRP4RMuTzoq+sqbqWj JhyoiZUrvU3UWXt/FKpbEna3MeZAgN3pteteghbiazVcpErUWU6YqMvCnHplsFz8OVPYbBFR eClS6a6fTjqp4V3dEfN1WL50OFE38yi/gp7C2URGpuTGEBGVVE4qa+oVuk0+ahSs7UJeXjRn bMNj34Vy9SEV1R1Ap9pSXNIqTFRjebAl278qvDgRawbCqlbqrLwvZz3TTnI+XknLlsHqchTV xoqKmUXKKDDERrEREwiJwNbcFap9FpsaoVKYbBl4TVc5elceoivVUp+Spsm6cn5mHLS7PnRI i4agp1QkqjKpMyMzDmIK7kexcopRcZ1f1jraMRItPtOA/i3hMpncqoXbQKPIUSlwqfT4DYUC GiIiJ0r1hJdbA+UzMQJaXfMTEVsKDDTL3uXCIh56vUZSmyMWbnIzYUGGmXOVSkqnWK/qvVnU uhLFkrdhPxGmm7li44tx1AtXdSqpTqpL90U6cgzUH8eG7KHsNJZtuU+2qJCplPgtZChtxlPw jcq5E3Jjd1hX6NbJV6jTlQfT5WpS0abZnahMflyY9RWequoc7HqDrMspqzVXirzcaKxfsHsX gb/SXT2VtOUWcnXrN1qY8+PMP+c1V4tKm+p+m/gMpnB+VVGp0FbanakMo0TvFb8JKhXphNlk JF3MRd21lOohqcur1HbVVpa1GXSeTjA2/P7DZIpVukunUSmzUS5LljOnq5M+c50XjD6sFpIi ICB4KtWqVSUYtSn4Eoj1w3nHYyaXUe9aVZtGdOT0VFjuRUgQU3q93VgrazrSrOoFWZdl5o+D T0dtSkgq5a9vQ5eoFq8Ib2RIbYjHI5rkyip0ofo/EGHDgwWQoaI1jGo1qdSIam7Ljpls0aNV qrMJBgQ03J0uXoTAV7atVKdSpdJipTkGVhKuEfEdhMn2kpqXnJVkzKxmRoMRMse1co5Ch6LT Lg1euBtZrbYkjbcu/MCXRfNjYXpT1l7UyTlafIwpOSgtgy8JuyxjeCIEl16D8xIkOGxz3vRr W8VXoPlOzUGUl4kePEbDhw27TnKuMIUpcl0VzUOtRbatDnINOhu2JufZuVvs6wWrjpNZpVVa 91Nn4E0kNytcsN2cKnQe9N/AjGnloU60aQklJMRz3edFi9L3dKqSRz2MY5yqjUam9VXCIFfp zmtarnOREamVVeg8FMrdJqUzGlpCoS8zGgfZWQ3ZVntKkv2+qpdNbdZtjNdGiKuJqaauObbw dv8AUTnTKxZCzaerITlmZ+Mn8JmnfOiL6ypqZDKGHKiJvIDqbqJJ2tCbKSjUnKvH82Xlk35d 68cCLal09XaRIz8OQnKjLwJqKmWQnvw5yepDYIqKm5clQ6c2DP1GsJeN5xHzVQiedAgRN6QW r0J7C3kRrU3JhETASVlVROJ4KlWqVTY0KDPz8CWiRnbMNsR2FcvUhGdS7+ployHyr0izsXdB gN3q5V4cCF2PZVYumsQ7tvbba7a25WRcuWw+pUKauhjmvajmqitXgqGT8wmthw0Y1qNaiYRO o8VaqkjSqdGqFQmGwZaC1XPcq78J6iK+1Rn5OnSjpuemYcvLs+dEeuEQxS6jI1OVSap81CmY CrhHw3ZQomdj17WSvLKyqxZC05d+HRG/0hM7lVC77cotPoFJg02mwGwYENqJhvSvWEl1sT5z EeDAgPjxojYcKGiue9y4RETpPhUp+WkZWJMTMVsKFDTLnKuCk6/X69qjVnUK2FiytBhv2Zid buWJ0ObjqBauqk1emVWAsemzsGahpxdDdlD2mhsi16Za1DhU2nwmo1rcOf0uU3uUTdwwFZya 2Ur1Gmqk6my1Slos4xFV0Fr8uTHqK11U1GmFqXgfZ0Puysxl5t7mfzP6Td6T6eS1rQlqVQiL OVuZTbjR3/OZni1PUVN9WCMpnBhzse0rjVbUaFbiJRqMxJ+vzSYhQW/gou7aynUQtTaJX6ND qnet9SlmzqrjmFf5/YbIqnSXTmLJTj7puqK6drcz53ym/murBa2ETIIHhq1YpdJhtiVKegSj HLhFiOwiqae/7xpdpUd87PxU28LzUJN6vXqwVja9r1zUerNuW7kfL0lrtqUkVXLYrehy9RS1 eMCLDjwmxYT0exyZRycFQ/Z8ZSDClZVkGExGQ2NRrUToRDX3VcNMtuixqpVI6QoENP0qvQiI RXqqlUp9Llu6ajOQZWDnG3EdhD7SM3LT0rDmpSMyPAiJlkRi5Ryeooak0+v6w11KpVUi0+2J eJmDCRd0dUXgqesvWkyMpTafBkZGC2DLQW7MNjeCIEl16jDnNa1XOVERu9V6j5TcxCloD4sa I1jGJlzlXGEKYu28KxfFXiWtZXOMl2u2JufZuWH7OsFq3aVWqTVHRG06oS80sNytekN2dlU6 DYJv4ES05sqn2jSUlpZNuO9dqNGXi5y8SVvc2HDVyqjWomVVV3AjLnNaiqqomEyp4JCt0mfm 40pJVCXjzEH7LDY/Kt9pVN+X7ULgrTrQseGszMu82YmG7uabwXC+ol+mFhSdoSr4joizdRjp mZmX/OevrKam6Ki8BlDC4aikH1M1BkLRlEhw0Sbq0fzZWVTftu6lxwIqUVCu0enzkOTnajLy 8xFTLIb34c72GwaqOTKLlFTJTem9h1Kt1rwyvhzo02/zpaViLlsJq70RPYXIiNY3cmERMBIy q4PDVKxS6W6C2oz0CVdGdsw0iOxtL1IR3Ua+aXaNNWNNREfMv82DBbvVyrwIDZ1oVy9a3Duu 9NuFBY7blJBVy1nUv6QauyG9kRiPhuRzVTKKnSfrgmT5y8JkGEkOG3ZY1MI3qNDfN2Uu1aPE n6jGRqIi7DE3q9erAVtarVqbSpfuipTsGVhKuNuI7CHplo8GZgtjQIjYkNyZa5q5RUKNoFBr 2qFUZXrkbEk6Ax21KymfNjt6FVOgu2nysGSlGS8uxIcKG1GtanQiFSV6Ty1KoyNNllmZ+ahS 0FOL4jsIea5a5TqBR41TqcwkGXhplVXivsQpSQg1/WOuLMzCRafa0u/zNn+fVF4KnrIWr3p8 5K1CUZNyUeHMQIiZZEYuUcnqPueKiU2UpFNhU6QgNgS0BuzDY3giHomY8OBDc97mta1MuVVx hAr65Tfv4cTX0yt0mpRokGQqEvMxITla9sN+VaqdClT3te9WumqxLSsdHq7OxNzzNywfWnWT XTKxpG0aYrIa89Oxl248wvznOXiVNTNN/AKqJnK8DDlRjFXKIidKruKf1D1AnanVltCyYazd RibosVu7mm8FXPqIW4tGTrdJnJ+LIStQl401B+yQmuy5vtQ2BA9L7Al7VgPmpiM6dqsyn8Im X/OX1E7Vdlu9QRk11TrlIpszClp+oy8tGi/Y2RH4V3sI5qTf1Ns6nK6IqTFRjebKyzd+2/qX HAhOnlj1W56629L4V7ojl2pWSeuWw2r/AMFNXS1zXIitVFRUyi+oyq4Py1rWMRGoiI1MInqI vf8AelKtKlum5+MixF3Q4Sb1cvRuIre1Wr0ylNhOqM7BlUiu2IaxHY2l6kPXCiQ4sNsSG9HN cmUVOkpG2bZr+oVdh3Nd6PlqfDej5SQVcsTHB36S7JeDDgwWQ4bEYxiYaidASV9D4zs3LSUs +Zm47IMFnznvXCIfOoz8rT5KNOzkVsKXgtVz3qvQhRVXqdd1hr76RRXRZK2YL8R5tu5YqewF q86TVKfVpZZmmzkGbgouztw3ZTJ7DUWlb9MtujQqZS4DYUKGibWPw3dLl9psZmPDgQnxIsRs NjUy5zlxgK/cWLDhQnxYj0axiKrnLwREPFSK3Sau17qZUJebRnzlhOzgpy9LtrGoNWdadkLE ZT2u2ZyfZlF6nN9hZmnVmUuzqHDkJFiOiKnysbG+IvrKmpOBwQqvVPUd0hOJbFsw+7q7Mrzb WN4Q19pC3FhtrlIdVEpbajLrOqmeY2/Px7DYlaaW6drRI/f+uxnT1dmE2nPicYOeLU9RZTnY T1gjJrZqvUeVqLKdMVKXhTcRcMgufhyr7CI6s6iytqSjZCTYk5WplMQJdu/juyuDRaW6ezkS f8MLze6aq0bzoUCIuUg9SoU1boyhjOG5XcV3qjqNLW4jaXTmpOVmYXYgwG78OXhvTgRdTWar lIlqhDp8xUJeFNxfmQnPw53sQ2CKiplOBUum+n07Eqjbsu6I+YqsRduHAeuUl8/goWymGoic OhAkZ4GvqNbpNOmIcvPVCXl4sVUaxj34VyrwwRnVG/6bZtO+UckaoRkxLy7d6uX1kO09saq3 DVWXjfDnrGcu1LST1y2GnFrvaU1c6AJuTBrLgrMhRqdFnqhHbCgQ2qqqq71x6iK9dQnZSnyb 5ydmIcvLw0y+I9cNQxTqhJVGWSZkZmFMQV4PY7KFGTMS4NX6vzMFYshakJ297f6U31oXVbdG kaHSYNOkILYUGE1E3dOOkJLrZHymZiBLQHR48VsOExMuc5cIh8KrUZSmyMWbnIzYUGGmXOVe BSVVq1warVh9KoDoslb8J+zHnGbleqfg46lBau2k1SnVWX7ops5BmoWcbcN2UPYaKy7bp9s0 aFTadDRkOGm9U/CXpN6FAAAAAA8tUn5WmycScnZiHAl4aZc964Q/FdgTMzR5qXko7oExEhq2 HETi1esou5NJL/uWnOp9UvecdLKuXMVNzt4S19KpULh1gr60ylMjSFsy7/lYrkVqxcLhcL05 Llta3qdblIg0qlwEhQYTcK7HnP8AWq9JT1H0xv6jyLJGl3bNSsuxMIxrU3+s9vgNqfj7t53s KkXLOzMGTlnxpiI2FCYmXPcuERClbvuau6iVV9p2gyJApiO2JydVNz0/sOQ81b0u1FrdPfIT l8zqQXph6bPzk6j5W7pNfFuyDZCj3ZMy8Jv4reILatnT6zqZaNIZJyMJFiKmYsZyZe53TvJK 1ERMFJ+Aup/pxO9hh1ianuarUvmdblMZ2eAw1udVdRY0nMpbVqw3T1ZmPMV0JNpsJF3b8dR7 NLdNmUFHVmuuSer0zvjRHLtMYvRs54Fe0PRG7aHVI1UkrsmVn4yq58fZ37+KG/8AAXU/H3cT vYEXW1uE9ZANU9QoNsyne+mtWercxlkGDCTaWG7oVydRE/AXU/Cp4bzu9McCOy2h13S9fiXB Eu2ZmKjFx8q5u9uBi21MtK9OZru9bwvFe66vH8+FCdvZCRejZXpLaY3HH9CdRSvgNqeu/wAO J33THgLqf6cTvYCeLOva6KZa9KfO1CM1MJ5kPPnPXowVRRaHcOqVXbW7hZGkqDCftS8quWPc qdadKKaq49E7yuSZgzNavCameY+ZDcm43sKwtS4UNkKFek3DhsajWtRqbkQHq4qVTpWnSkOW lIDIMKGmGtamD43JW6fQKTGqNSjshQYbVXznYVy9SesqTwF1P9OJ3sNPdGjl8XRBhwKzec3G l4TttISpuVRhr0ycC4NYq46LNJHp9qS78I1csfGTowvSXXQqPI0eQhyMhLsgwYbUamymFXHS pTdN041DpsjCkZC8JuXloSYhw2tTCIenwF1P9OJ3sBF0R4rIMJ0SI5GMamVcvBCnb6vesXJU 3WlYzHPe9dmZncZho3gqIqcFPDUdONSqjJxJOPfM62HETCrg19saO3lbMvEl6RdczA5xyve9 G73KoLas3THT+n2hIfNWPPxEzGmInnOVfUpNnKjWq5yoiImVVegpTwF1P9OJ3sPlM6f6mzEC JAffM6jIjVa7d0KDf42mol/z87UltSy4bpqoxV2Iky1NqHC9a9Ru9MdOJa2oaz9QXuyrx124 0WIu0iOXijc8EK5tnRa8LZjTEal3ZMtmJn7NGRu9xu/AXU/04newIuxqI1uE3kR1FvunWjS3 RImZqef5sGVhb4iqvBcdRAm2NqdnK3vO9hHprQ67puvMr0/ds1NTsNMQ1c35qDF2pDYFiVa6 a8l6X3l73Kj5WU4NZjhlpdLIbIbWtY1GtamGtamEQpVLE1ORqI295xETciI1Nw8BdT/Tid7A TxY99XfTLVpr5qdftxcfJS7V8969SIVnb9sV3Umsw7lu5sWDSobsycnvaqt6NpOlTTVvRK8K 3VYFVql3zUzFgOR0Njm/NVOk3sOw9TIbUZDvScYxNyNRqbgermkJWFJyzJaXhMhQWNRGtamE FRnZWnycSbnIzIMCGmXPeuEQppbF1P8ATid7DXXFpRqDcVOdT6je84ss757FT5ww1msVO4dW 7gWj0NsWRtuXf8vHcipzqIuFRHFyWpbdMtqkwqZS4CQ4UNuFeqee/wBar0lO0PS6/KJINkKT dkzKyzfwWtTevWe/wF1P3/8AXE72BIuaZjQpaC6LGiNhQmJlz3LhEQpW+7qrt+1p9n2W18OS R2xOz2PNcn9lyHnrGmWo9Xp75GavmdSC9MP83inUea2tI73tuRSSpF1zMvDTirW/OC21bGnN lUuzqM2Uk4e1HdvjRn73ud07+olDUREwUn4C6n+nE72BbF1PVFTw4nUzuzgYb/G81T1GfTZh LetuE6frMx5ic0m0kPO7Kp6j96Z6arS4zq9cr0nq5MedEVV2mM6sIvAgNF0Qu2i1qLWZW7Jl 1QjZ2o6t3pnoN/4C6n+nE72BF1tbsN3J+hCBaq6hS1qyaSckxZ2sx/MgQIXnK13QqoRJLG1P 9N53sI83Q+7W3A+4I12TMzUX4VIrm72KnSMW2pfpdp3Nx6h4ZXmvdVUjefAgO3shNXoVq9Jb kNiNTgidSJwQpVLF1Pxvvidz9Ux4C6n+nE72Ani0ruuOnW5S4k7UYzWNanmsVcK5fUVFIUy5 NWKu2o1dkeQtyBE2oMuqKx71Tr60U19zaLXpcr4USs3jNzDIWFbCcm5VQ3EvYGpMvBZBl7zm 4cJjUa1qNTciAXFRKXJ0qQhyclAZBgw0w1Gtxn2n4uGryNEpcWoVCOyFBhtVV2lxtepCo/AX U/04new1NzaP33c0qyVq96zkWXhu2ubVNyjDXoTwj1grLmsbGp9rQH4crssfHToVq9Jc9uUO QodOhyNPl2woUNqJlEwrvWpT1M031DplPhU+n3fNS8rBTZhsa1NyHp8BdT0/9cTvYCLpivbD hq5yo1qJlVXghUOod91OsT62jYrFjzUXzZicRNqGxq7lRFTgprZ3TvUuelIkpFvqdayImFds mrtnRi8bZZEZSLrmYT4j1e+Ijd7lXiC2rM0r08kLPkudiJ3TU42+PHiLtLn1KTpyo1quVUTC cSlPAbU/03new+cawdTY0F8F18TqNe1Wru6Aa3OomoU26c8GrRhOm6rHXYWMxNpkFet3Ue/T DTiFQHOqtYVZ2sR124kSIu0jVXiiZ4FfW7oreFvzcxN0+7JlJqZ+yxtne43ngLqf6cTvugXY 1MJgieot8U+z6REjzGY847zYEtD3vcq8Fx1EASxtT0/9bzvYR+paIXfUq5CrlSu6am5qEmIa Ob80YbW+0/sms3hW23pfW0qbW3KSfBG44bTS6oMJsNiMYxrGNTDWtTCInsKVZYmpzWI1L3nE REwiI1OBnwF1P9OJ3sBPFm3rdNMtemvnahFRVamYcFq+fEXqRCqKJb1e1Sr7LhuhkWWokF38 ElMK1zm9G0nSauv6J3lXqhAn6teE1MugOR8OG5NzV6zeQbA1KgwkhQb0nIcNqYa1GpuQF1dF PlJeSlIcrLQWQoUNERrWphDFRnJaQkok1NRmQYMNMue9cIhTS2Lqf6cTvYa+4NKtQrgpz6bU b4nVln/Pbs8Rhr91qsXBqtX30K3kiydvwXfwmZcipziZwqNchbln2tS7XpMKnUyAjWMTCxHb 3v8AavSVDQNK76oFPSn0e7ZmVlmrnZa3ivWbDwF1Px93E72BIueYiMgQHRIj2w4bUy5zlwiJ 1lK37d1avetPsuyWvbL7WxNz2Msx/Zch8KpprqTVJCJIzF9TrYUVqtfu4ovQeG19H70tmUWU o11zMBq/Pejd7wttq2dNrIpdmUdspKQ1iTL/ADo8d+9znLx38cEqaiImClPAbU/03newwti6 nqiol8TqZ9QNSLVDUVKPESi0GE+oViP5rWwU2ubzuyqeo8+m2nEeWnHXJdj0na1MecqKuYcP qwi8CDUjRG7qTXIlcl7smYlQi5zGVu9EXoN+ljan+m877oF1MakNuGp+hOgguq2oMnakkktK tdOVeN5sCXhec5HdGUIgljanov3cTvYR52h92vuJbhmrsmZmo5RWRHN3sVOkYW1LdNtPp6o1 BLxvdVmKhF8+Xll+ZDavQ5q9JbsKG2GxEa1EREwiJwQpbwF1PXK+HE77qBLG1Pznw3newE8W JqDelNs+jRJycdzswqYgyzF896rwwhWti2hW79rbbwvdHslWu2pOS3txhdyub1GlrGiN4Vis QavVrumpyPATEJrm/NN+yw9TWQ2sZe041rUwiI1NyBPV0QILIUNsOHDbDhtTDWNTCInsNTdt zU22aXFn6lFa1rWqrIWcOiL1J6yrvAbU/wBN53sNDcWi163FNQZmsXjNzDYDkfDhuTcip0jF 2thTKNX9W6+ys15kaStyA/MtLLljnt9adJeNLkZanSMOTlILIMGG1GtaxuCmJbT7UiWgtgy9 6TcKE1MNYjU3H78BdT/Tid7ARc87MwJOViTMzGZBhQ0y571wiFH3DX7g1Or77ctVHytHhO/h U45FRr0Tc5Gu6z5VzS3UWu06JTZ6+Z3uaJ89uOJ+Ld0ovm3qf3BR7rmZWAi5VGt+cvWC7Vt2 RaNKtSlQ5CnQvmp58Z+9719a9JIIj2wmK9zkYxqZc5eCIUt4Dan+m872Hnn9OtS5+SiScW+p 1sOK1WvXZ4oow16dRb0rN2Vl1l2M1zkcuxNzyJmGiepycCdaaWJTrMpCQIDOenYvnzEw/wA5 yu6cLxwVXa+jl5WxLugUe65mCr/nxEbveblLG1P9N53sCerrRNlN28rvU3USDQE72UmG6fq8 bzYcKCm0rc7sqnqIx4C6n9F8TvYR+Q0Qu2Qr76+y7JmLUX5+VVu9uegYttTLTzTmbiVDwpvF /ddXjYc2Hxhw06PNXgpbEJiMYjUREROCJwQpTwF1P9N533TPgLqf0XxO9gJf4muqN/SVoyHN sRZqpRvNgS8Pe/a6MoRLT6wqnXqky8b4VYsy/wA+VlF+bDavQ5q9JFpjQ67pm4W3BPXbMzU+ 1UVjnN+YqdJIVsbU9cr4cTqerZQJ6uiBCZCYjGNRrUTCNRNyHguGsyFFp8SdqEdkGCxM+cuM +wqXwF1P9OJ3sNPc+jl83NBbBq96TcWCz+bVNzhi69Ubwk1frXNoyPTrWl4mdlyKx8VUXfv6 UUue2qHT6DS4VPp0BsGDCbhMJhV9pT9P051EkJZkrJXjNQIENqNaxrU6D0JYup/pxO9gIuCr 1GUpcjEm52MyDBhtyrnLhFKTqtQuTVasRKTR2xZK3ITsR46orVjJ/Ycee5NJtQLjku4ale04 6XzlWKnzvUeii6Y39RabCptLu6alpWCmGMa1AXVs2bbFOtqlw5GnwGsa1ERz1TznL1qpvXrs t6k6+opXwF1Pz93E72HzmLA1OjwXwHXzOtR6Y2scAa2uqGoM4+b8E7KYs5VZjzYkdibTITV3 Ki44KbjSfTiWtSXfUJ9e661MJmNGiLtYX+zngVxbmid3W5MRpmmXVMtmo7lfEjbO9VXib3wF 1Px93E72BF2KuG5UrXUrUbvTE7yW7CWfrcwuwzm02mwV63J1EddYmpz2OY6953Dkwu40FI0Q u6kVWPVZe7Jl8/H+fHVu8YttTnTDTeJIzjrlud3dlamF21212mQ88URF4FpNaiJjqKTSxdT8 b74nfdDrE1Pc1zfDidTKYzjgCeN5qxqO6lxW29bMN09W5hNlOaTbSF0LtH00o037ybVeuFyT 1dmd73PXabDRd6YReCkAo+iF2UirxqxLXXMvqMd206Ord6KpIPAXU/H3cTufYE9XUibKZxlS C6nahStryfckmxZ6sR/MgQISbSscvBXJ1EOSxdT96LfE7v3cCPwdD7uhXA+vxbtmZioPTHOO bvQYu1LNMdO52cqvhley901SMvOQoLt7Ief7KlwMbhuMIiJwROgpTwF1P9OJ33THgLqfn7uJ 3sBPFo3nc1MtikRJ+oxmta1PNh5w56+oqKh0W4dV6wlZuBsaRt6DEzAllyx8RU4KvWh4Lm0W vO5o0GNWrwmplsuuWQnJuU3EvYGpUCBDl4F5zcKFDajWNRqbkQF1clKp8rTpRkrKQGQYLEw1 rUwfiuVaRo1MjT9RjsgQYbVXLnYz6k9ZUPgLqf6cTvYam59H77uaVZK1a9ZyJLscj+bVNyqg w2v2iXDrHcWzsx6facs/ftZa+M31L0l30GjyNFpsKn06XbBgQmo1MJhXY6V6ym6XptqFTJKH I0+75qWloaYZDa1MIejwF1Pz93E72Ai7QUmyxtTkeire87jPDBcFEgzMvSZaBNxljTDIaJEi LxcvWRZXsAAUAAAKmUwAAxuwETCYAAwqZ6Qqb85MgDGN+cqFTfxMgAETCYAAxjfnI2eO9d5k AE3Jgwib85MgDGN+cmV4YAAImEwYRMJjKmQARMJgwqZ6TIAKmUwYamymMqpkAFTKYGN2AACJ hMGETGd6mQBhEwqrkImM7+JkAYVM9IxvzlTIAwqZ6TIAGMb85CJjO9d5kAYamE4mVTKYAAw1 NlMZVQqb85MgAETCYAAwrcrnKmQAMY35yETCqueJkAFTKYMKnDepkAYVMpjIamExnJkAYxvz kY35yZAGMb85UKmekyACplMGFTdjKmQAMY35yZAGETCquV3hExnepkAYVM9KjG/OTIAKmUwY xuxlTIAY3YMY83GVMgAYRMZ3rvMgDCpnpUImFXfxMgDCpnpMqmUwAATchhEwqrld5kAYxvzk ImFVcqZAANTCYAAwiYzv4hE35yZAGETGd/EKmekyAMY35yFTPSpkAYxvzlTPQAARMJgwiYRU ypkAETCYMKmU4mQBhU3pvUY35yZABUymAiYTAABqYTGcmMb85UyAMIm/OVCplMZMgDDUwmM5 MqmUwABhUzjepk/PON6z9IuUygGETCKmVGPNxlQrkRcKu8yATchhEwqrld4VyIuFUyBjG/OT KplMAAETdgNTCYAAwiYzv4hE3quTIAwiYzv4hUz0mQBjG/OTPQABjHm4ypkADCJhV38QiY6T IAwqb85CplOJkADCJjO9d5kAY2eG9dxkAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKqIamQuGnztUfToETMdiKqp7DaP4Lu6F3 lPaeojNV6g5z0TzX8V9YFxgidfv+0bez32rkvL7PFFU2tr3JR7kp6z9HnIczL5xttUGtuDG2 z8ZvaNtn4ze0DIMbbPxm9o22fjN7QMgxts/Gb2jbZ+M3tAyDG2z8ZvaNpv4ydoGT4RpyWhTD IESZhMiP+axzkRXexD9TUxCloESYjREZChN2nuXoQ59smaqWoOuc7VoU251HokZWwkT5r0UJ a6Gc5GsVyqiIiZVV6DWQ7gor4/czKvIuj5xsJGTOfZkr/lI3JU7dsSEtLjLCjTsx3Ntp+Cil VVnS6LR9Km3pLVSIlcgsSK6NlfOVVLiWup1e1sNYjnIjUTKu6MGtg1+jRphJaDV5GJHVcc22 Miu7Cgbl1AuKZ0Gp03LTD4E7MzbJGJF6VRdyqa+79KYlqaa+GVNq70rMlDSM+NlflFVRhrqJ N6ZBDtIbhj3DYdPn5pq8/wAyxIjl/CXHEmG01OLk7SNMgxtN/GTtG038ZO0DIMbTfxk7RtN/ GTtAyDG038ZO0bTfxk7QMgxtN/GTtNDdt5W7asKFFr1ShScOK7YY5y8VA35qolfkGV7vK5/8 K2Efs+o/FCuah1pnOU2pQZhrt6YcV5PJnlAuXP8AQm9IFtg0FwXfblAR3farQJbCfhO4H4s6 9bcuyC+LQalCnIbFVquavSgNSIGNtn4ze0I5qouHIv6QMquEyYV2PwV7Cv8AXG85mybOi1eV hrFiMblGp0lSxr/1bbSJW7EosylMWGkV0HoczjkuJa6acuOhV9hlOBzRA1N1NvmntrdpUGZl 5KH+C1c86qcULQ0V1FiXpRZtk7JOlKnTn8zHgudlVcibxhKsVXYXGyq/oMtXKLuVCi73rurU /cMxAoFHmJKSg72RNpPlDY6Oan1K4os/blalHS1alEcxqOXKxHInEYmrkRcpwVAi5zuUomga 0x6PP12j3nKukp2nQ3RYSRF+ypnciEu0Oui4LukZ6sVaTiSknFiZkmu/CZ1oMXVkGtuGqQqT SZioxUVWwWqqohsiMalQXxrLqLISbTlYq4T2EKp2W16rlRhzExTKDMx5eHFdDRzYCrlUUtfT a7Juv0B9Rqso+SVjdpyRG7H7yg9K77vC37EmmU6yI03Kyk5EiRpjdhWou8vLT+7aPqXZz4kB jYDnNxMQEXfDXqUtSVALh15jxKtHh2zR5qckpRytjxkgq5MtXfhULC061Jo930GNUoKul1lm 5mWRfNVnt6j5LIWxprY9R2IcGDKLtxVR34b1TgUfZMnPP08vy7ElXyshV9l0onBMIvQDbEwr mv0V9WjLb9Hm5qmyj1ZMRkgq5N3HClrac3pSL1obKpS3qiOTz4bvnM9qFccnWUlmaN1NqQWq kRYivymc5aafkpMbBuS7IEJFbCa5NludybwS10OD8tVEamVRDO238ZO0jTJq7pno1Nt+dnoK IsSDDVzUXrI7M6qWNL1aJSZivy0KdY5WrDVd+T13TUZKo2RU40jNw47VgKuWuQJr8aY3FN3B R401ONaj2PwmyS4rnQhf+m5jdv5zeWMFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAMOzsrjjjcBGb2vmgWnCatUmU23rhIbFRX9h9bOvOg3RL7dMm2K9P 5pzk2+wpVkpb1V19rMtfDk82GzuFkRyoiv8AUb+9dKYlKmW3Np1HdTahCTacxFV3Op04T1gW 1Xa5I0aXZHnonNseuymes9sjMwpyUhzUBcw4jdpq+o5kvrUuFXbfp9GuWC+lVyFG2XQIi+dE Xhn9J0HYCK2zqUnD5BNyhG+AAUAAAAAAAAAAAAAAAAAAAAAAAAAAH5fnC9WDnlbTddeotRk2 1ObkF2H4fLv2VydDuTKL14K4s62alI6gzdUjsckvEa5GqqdYRztqByXb1m1ixZCuRp1ucokx Hyqk/wBItCazIWistVbgqMjNo9MQ5eMqMwdHtZs8F9p+mpjJdTlTqaLzKIqeF9a+Ophui8yn /q+tfHUuQDV5im/EtM+l9b/WFMrovMbv+r638dS4lRF4jCZz0jTIpzxLzS8bvrXx1MpovMYx 4X1v46lxmEREzjpGmRTniWmfS+t/HU9tE0kmKfVIM466avGbD/AfGVUUtcKiKmFGmRU/KMux 9sWMyny8aEk1U17jar3b0ymMlZMrkXTO17bp9KnKfEnJ5mag9sVFXOelS4tWtLaTfzYSz7tm JCcjmKqruVCkNTeTtOLOU1lFiRZhqL8s5FVdneIzdTnlMzjJ7TK3ppkWHF5ydhKrmOymcJk3 t7bXk7zOePc6fvPzdOlbqhpLLW7KTCsmZNEjw3LvzEROBXE2uq9Ys2HYEe3ZuAxU5uLUFTzX JniBqKjv0Do2/wD83C/eXVrCipoBVMp/RG/vQ1FyaRzEbR2Vt2nzKQ56Ue2aR2M7URqcO0g1 Vi6tXVasCxZygTcnDf8AJzM+5PNe1F4lPi2OTqqeLWUzw2W/uPvc+m8Ss1iLPtuGpyyRP5uH FVGoSLT23oNt2nJUlmHPhQmtiO63InEkJlqfFVeKKLj7qqxn88o8UUXH3VVjP55S1QFVUmkU XG+6qxn88pjxRRvSqsfGUtYAVUukUXouqsfGUeKKJj7qqxn88paoAqrxRRcfdVWM/nlKu5QG gNyXDIyMvb9Zmpx7YyK/umKuGp1odTDAHKWnHJouSlxoMWq3VUJfYwqsl5hcErrlpLH1WWiQ 6rONVJFqc+j/AD+06B2U2s9JXc3b1RiaxLW2wndx9ytZtY3ZQJijNReTNdlTmosWmXJNzTXb 0SZmFPXoVyf7ipEjMQa5WZunv23bKSsVURTqxGpnPSYRu7fgupyp1ui8zhc3fWvjqSbTzT6N a1SfORK7UJ9FardiPEVyE+VEVMKE3JgauRS/Kx2fF85F4KnT7SQO+8LLJux3pT/QSm9rTpd2 UzuCqQuchdR6e8Mj4NNoSs/gjIHMo3+zjATFe8lPZ8UcnsIjUSLE+b7VIboNHWVvS+JiHhVh TkaJs9aplS77Jtqm2rQodJpcPm5djlciZ61PDbFjUSg1CozsnARsWfiOiRl61XiDFC21Vbk1 IuKfnZy4mUaBBcqQ4KTHNruVU3oa7k7wmymt1Ugvne7FhRIm1GV+1nHTkta5tCbZqlbWqSiO k3xHZita9U2uw3tl6S2vakeLM0qW5uPGY5sR6uVVXKYUuplc/wDKMjpel+xfBqWhx0oqJHno rEzzrE/BynH2HQei1yUmt2HIxKerISSkFGx4abthfZ0HrsvTe2ralZyHJybXPnFdz73LnaRV 4H0tCwKLbC1RlLhc1BqLldFZnrIslSKk1Sn1KG50hNwZhrVVFVj0XCnmumpQKVQpmfjwHR4U NPOY1uVVPYazT+yaTZ8rHg0xrkSNEdEcquVd6qSaNBhxoDoMRqOY9Fa5F6UIqtaHfllVrTyq T1PiyklLtbEZFl3Oaxyqib/NIPyTXQkfddRaxYFOixkfBc5MN2U6iQVvk+2jOVt05LMdLS0V +1GgI9cPVeJYlOs+iU22Ft6nyqQJLY2NlF349pUyqCuq5ZfVvUVtvytUlpO3adER0Z0SKjFe 9q709aFp6iStNiaP1Ok22+WmIUGCjWQ5ZyOx+hCNxOTjZ6R48SC10JYr1e7D1RcqTjTLTul2 RLTUCQc58OZTD0c5XZ7QZVdcn+4KNL6Q1aFMz8vLxYCxGxIcWIjXZROpTy8k7amqvc1Rhw3p KzCpzT1Tc7f0EmuPQK0alW3VCDCdLQ4r9uPCa9UR6qu8sq1LepNs0mHSqPKNl5WEmGtQaSVp NQrNiXTLsZDq87IK3G+A/ZyQ6HovMc4m1d9b2en5dS4VRF4mSauOHa/yZb7qd7zUzJz38F51 VbHiRcPVM8clm27obU7XtWoTVUuepRIjIOUhJHVWKdKK1FTgeaoyMCekI0nGbmFGbsuT1F1O UB0G821ozM52YiJnpUshOBq7boUjQpR0tIw9hjlyqG0I0AAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAfl21hVavRuAqXWyJp/I1GSqNfe+HPwYm01ZVm1F X29JLdPb1ty56c1lJnHZhIjebjebEX9BUkvDoETlBVjw1iNhudDYkikVyo17+pEJLfOk7VmU uaw5nvbVoabTVyqtiJ0oiesI3erdqWPPxJCrXBLMgx4MbaZGYxNpyp0KpO7fWUWjyiySqsvz ac2q9RzTe2okxUqDT7fu2ViU2tQo6tRIu5YnQip7ToewEVtnUtqrv5hArfAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAD5zEWHAgPixYiQ2NTLnLwQqTUrlAWNZ8N7WT8GpTbNywYT9+eoC 31XHWDj6ocpO+7lV3gdaNQRF+aqNyanwu5UFWdmBT5uTZ0bUEI7XGd+N5xX4UcqKSa7akpuY TH4ME9NN1t1qoiKtxWrUIzWfOXm8Adlg5htblbUSPMNka/RJmmxUXDnxXYQuK1dW7CuFjW0+ 4ZN0Vf5vb3oFTxURQiYPnAjQ48JsWC9sRi8FRT6ZTOAGN24xjdjK+0yAHRgxhd29TIAIiJwA AAAAAAAAAAAAAAAAAAAAAAARMcAAAwgAAImOAAAImOAAAKiKAAGE6gm7gAAVEUAAAAAAAAAA CO3nd1NteFJxKgr0bNxeaZspneSI505Vl90OkztHpM1FaseVmUjRG537KliW46EkZqHNysKY hZ2IjctPuRXTC4afcVpSc7TnosLm03J0EqIoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAACMXVZFAuCelp6dk4fdcB+0yMjfOySGVl2y8tDgNVcQ0win2NDfdzy tp0F1XnIbokJsRsPDVwuVXAHhvTT+27pm5adqcjBdNSz0eyNsZduJLIS0KUk4UvCTzIbdlvs PlRp+HU6dCnYSKjIrUciKewAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAaO9bppFp0SNVavMs gwYbVXCrvVT73ZXJC3aFM1epRmQpaXYrnq5cHF09PXTyjtSHU+SfFgWxKxVa6KmdhyIvDPsA 9l0an6ia2XJGt6xYEWUpTHbPdLVVm2ntLP0s5MNvUXm6pdEZ9VqD8OisjptN2ukuDTixqDZF Dg0yiSbITIbU2nqmXKvTvJWEaakWvb9IY1tMpEpLInDm2YNyiIiYRMIAFDxztMkJxFbNScGM 1eO03J7ABALo0hsOvy7mzNvyUKIv84yGmSnLp5J1MhxX1C1K3OyMyu9GQ/NTJ1EFRFTAHErq Jr/pfMPmYceLV5CHva2JGV2U9hMbF5VsKHFZKX5SotMiNXZc5sJcZ/SdTRYTIjdl7GPTqcmS D35pPZV5QnwqxSYaq5PnQkRq/wD4A2Nq39a9x0p0/SqpBiQ0Zt4c9Edj2Hlot/06dh1WZjKr JWnqiOiIm5cnMmpXJ8rdiui1yza86BKP+TWXc9V3E1uGopafJ0koc1DdFn52FmMjfnRFRQOj qRUZaqSTZuVcqwnplFVMZPYcy6f8qKy20uUpU5T41OfAhthuWK7GVROJalD1r04qSJs3NIQn u/BdE3gWMDRyV2W7P4WTrUpGReGy/JuIEaFGbtQojXp1ooH0A354GMru81QMgAAAqonExlOs DIMZTrMqqJxAGM78YU/E1EWFKxYqb1YxXdiKca1DlJ35M3bUKPQqRMTjpWK9uxDZlcIuMgdm 54bl7BndwXsON/HvrH6I1D4I8e+sfojUPggdkou/G8xtbs4XsON/HvrH6I1D4I8e+sfojUPg gdkZ4bl7Bn1L2HG/j31j9Eaj8EePfWP0RqHwQOyc+0wjkVcYXsON/HvrH6I1D4I8fGsXojUP ggdkZ9S9hlFznjuONvHvrH6I1D4I8e+sfojUPggdkZ9S9g2ty7l3eo438e+sfojUfgjx76x+ iNQ+CB2Rtbs4XsGeO5d3qON/HvrH6I1D4I8e+sfojUPggdkquOsxtJnGF7Djfx76x+iNQ+CP HvrH6I1D4IHZCuwuML2DPHcu71HG/j31j9Eah8EePfWP0RqHwQOyM78bxnjuXccb+PfWP0Rq HwR499Y/RGofBA7Iz6lCORc7l3eo438e+sfojUPgjx76x+iNQ+CB2Rn1KM7s7zjfx8ax+iNQ +CeOscorVSkyazVRtyclYKfzj4WEQDtVN6DO/BWOmF7Ve69M211kJXzj2IrWonHKGpS59Rsr /Fkfc5f5voAuJVyi8UwpyDy8bLWPO0uuQISuizcdIKqib9xbrro1F4JS4/t5sgOs9buabkqP 38pUVUbNZhIrMecWM34uTQajwaLpZRJdIOxEdLNWJu4qT1OBT1mV69nJT5d1Niw5NWIirsbk Qt+ErlhNV3zlRMkWP0AAoAAAAAAAAAAAAAAAAAflXLn5qgfoH52nfiKNp34igfoH52l/EUbS /iKB+gfnaX8RRtL+IoH6B+dpfxFG0v4igfoH52l/EUbS/iKB+gYVV3eaoyucbK+0DINDfdzy lpW1MVyehvfAgfORq71NbpTf1M1Ct1K1S4USFBV6sw9crlAJgAAAAAAAAAMpnAAAAAAAKw5S 6KumMXKZ/hUL95Z6rhMqcu8uG9Lht+Uk6ZIbPe6OiRYqq3PnIu7eWJfjoHT1FS0pHCfzbf3E hKb5KFy3DdGnMvUayrdjeyHhuOBciZxv4kIAAKAAAAAAAAAAAAAAAAAAAAAAAAAAAYe7ZTKq mE4qpkgeuV4S9mae1Cqxn7D3w3Qoaqv4SouAOd+VNe89fl/SmlduRX74vNzSw13ORes6J0V0 9plgWZLUuSgthxlY10dyJvV2N5RPIssuYqk3P6h3BD5+YnHbUvEcnDCnWDUTGesIyiIiYQDK ZwAoAAAAAAAADzVOchyNPmJyLvZAYr3InUhBNLtWaNf1YqdNpkrGhvp79iI56phV9QH51ql6 jPy1Kp9Phq5rpxixlT8TO8jtcp8rXdRqPQokkkWn0tdmKxzfNdlC5Xta7e6GjlRd2UPPDk5a HNPmWSyJFeu92N4RALj0R07rG06JbslLvXdtMhlbV7kj2fPPfEkanMSMTinNt4HSWd/AwnnI uWqgVyTO8mG6aU3FAvKpKiJ5qbeDRx9KeUTSHq+l3DOTLW8GumMZO0k37sKiJ0mcrnGyvtCO LpaPyk6L/KpR0zs/jRsno8cGt9KbiZtVkXZ4rtKuTsZ8Nr0XMNi/WTJ8XScq/wCdJQF68w0A 4+h8p7U2SXE5Y7HInHDXKemFyuLjbjumzXs68Q3nWi0qmu+fTJNc/wBy3/g87reocRF26NJL /wDA0DlyHyupxXoj7Xio3p+Scevyt2dNvxkX8y46QW1LcVcrQ5PP5hp54tkWvFer3USVz6oL QrndOVuxc4t+NlOHyLjxu5Xc/lUZa0Ver5Jx0pBsi14T9ptElc+uC09TLUt1i7SUSSz1cw0I 5VnOVrc8aFEhy1lueisVFVYb0xuNDyHJlK3rDXKjOyzUiR4T3rDcnzVVTsqZoNEhyEyrKNJN XmnfzDepfUcd8k6pUuj69XM+oTsCRhZio1Ii7KfO4Adpd7JDOEk4WPqmO9kjj+RwuPUajw5t La+6On+znEMpfNpKm646fx/KIFbZ1MkeiThL/lMpTJHP8jhe6alb4tLP3QyHxDC3xaWPujp/ xEA260yQyn8Ehe6Fpkhn+RwvdNQl82jw8Iqfu4/KIPDi0sfdFIfEA27aZIY3ycJP8phKZI5V Fk4OPYapL4tLK/8AUUh8Q/KXzaKouLjp/wAQDb97JHf/AAOF6vNCU2RxvkoWfYalL4tJVylx 0/H5weHFpb/+opD4gG3WmyP9Uhe6FpkhjdJwlX6pqPDi0t//AFFT/iDw5tHdm4qf8RANslMk cZWThZ+qFpsj0SULPsNSt8WlnKXFT8fnDKXxaW/NxSHxANslMkM/yOF7oSmSGVzKQvV5pp0v m0cfdHT/AIiGUvi0lXPhFT8fnANstMkUXdJwsewz3skEXdJwsfVNR4cWl6RSHxEHhxaW/wD6 ikPiIBtkpsjvRZOFj2DvZI7P8jhZ+qalL5tHax4RU/2c4PDi0tr7oqfjq5wDbpTJDH8khe6Y bTJFeMnCT/KalL5tHC5uKn/EMeHNo4TFx0/4iAbdabI4X+Bws+wpTljSstB0nmlhS0Nq7C70 TgWqt8Wls48IpDP5wpnldXLb9R0smYEjWpSYi7C4ax+VUCTckjPikkccebb+4uLC9ZTvJKRU 0jkctVfk2/uLiVVRNyKoSGF6yn+Uoru4Ld37+70LfRyr+CqFQ8pTaWSt3dv7vQsT9fFm2vtL QJJVXfzSGzNXbOUoEllq55tDaEagAAAAAAAAAAAAAAAAAABSt827qdOXHMTFGqcxBk3OyxjX 4RELqNbN1iky8V0KPUoEKInFrn4VAlijEtLWLH26m/iHkqVE1Upko+bqNxTECAxMqqxUz2Fm 6i6p2xatLWKtSgzU27dDhQoiK5F61TqOcrgu24NSa4yA+pIyHtYhNhuVEYn9o1GLkeSb1E1F hzsRkvVpqLKsXZbER3nOd1YJ7Y8rrZcNP74TUxMSsvETMH5Te5PYSjS7Ti1aNCh1Cv1eUmqk i5RGxE2ET1p1lj3JfVq27RokzHqcoqQm+ZAhPRFd6kQasn/VWR7e1ZgQnRI9ajw4bd7nOiom 4ri57+v+mT8SSp9WjzaQlxGer/m+zrPZf2qFdvqY7106M6HJOf5kGHui+1cdBMNLtIZV2xUr tqMN+MOhQmvw5PrdYT78ROyqnrndkJ01IsjtkmLs846JhVX2EmdRNdN6rMRmp64vAvValQKF SP5ZKScpBTGco1Fx/uUTqvri6d5yj2tGSGxctiRnLnnE/sqRbMRK8rq1TtWO2VmKg+NOvTLY aRUVMdeT4WffGsdcn0kKbBjTMXPyjnPwjU9Smy0900qd1u751qpLAknOy9kd68476qr0HR9r 0y27ZozJGnRZeHDhJ50RyptL7VKklVIsjrYrG/JvRcb/AJU0t0VzVC15JZyrzCw/xGJFRVcv UqE41Y1opFAgup9Dm4c1POT7M120xi9S+spei0i6dSa26bjTzm7S5fFiOXmVT1esQv8AEc1N 1SvOs2RNyNVllSDF3tRrsoqesufkGLnR5jlTGZh6r2nw1W09oNoaGVN0niYnXYWLEc7aTa6c dSGeRJPSdN0UbM1CYhysFZmInORFw3iStTxcGoGolq2MyFEuOoLKpFTLPNzlCHLyktJk/wDP u+EpR3LrrNGrU7QG02qS83DRNmJzL8oiK4kFqaK6GzttyUzP1uC2aiQWuiJ3SiYVU3g2rQ8p PSb6fd8JR5Sek30+74S/8kD8RmgGPt5B/WkHiM0B+nIH60g8NqeeUnpN9Pu+Ev8AyPKT0m+n 3fCUgfiM0B3/AMewN/8A7lAmhmgKf+dgfrSDw2p55Sek30+74SjyktJc57/uz+aX/kgaaGaA p/52B+soPEZoD9OwP1lB4bU88pPSb6fd8Jf+R5Sek30+74SkD8RmgOc9/YP60g8RmgP07A/W UHhtTzyk9Jvp93wlHlJ6TfT7vhKQPxGaA/TsD9ZQeIzQH6dgfrKDw2p4vKS0mVMLX3Kn5pSo eVHqdpjfdh9zUirOj1FkZmw3m8ebneSJNDNAUTHf2B+soE0M0CRcpXYP6yg8PXo0W1r0rtHT +RoketuhRYSZe3m+lSaeUnpN9Pu+EpA10M0BVc9/YP60g8RmgOc9/YH60g8PU88pPSb6fd8J R5Sek30+74SkD8RmgP07A/WkHiM0B+nYH6yg8NqeeUnpN9Pu+Eo8pPSb6fd8JSB+IzQH6dgf rSDxGaA4x39gfrKDw2p55Sek30+74Sjyk9Jvp93wlIH4jNAfp2B+tIPEZoD9OwP1lB4bU88p PSb6fd8JR5Sek30+74SkD8RmgP07A/WUHiM0B+nYH6yg8NqeeUnpN9Pu+Eo8pPSb6fd8JSB+ IzQH6dgfrSDxGaA/TsD9ZQeG1PPKT0m+n3fCUeUnpN9Pu+EpA/EZoD9OwP1lB4jNAfp2B+so PDannlJ6TfT7vhKPKT0m+n3fCX/kgfiM0B+nYH6yg8RegP07B/WkHhtTzyk9Jvp93wlHlJ6T fT7vhKQPxGaA/TsD9ZQJoZoD9OwP1lB4bU88pPSb6fd8JR5Sek30+74SkD8RmgP07A/WUC6G aAr/AOdgfrSDw2p55Sek30+74S/8jyk9Jvp93wlIH4jNAfp2B+soPEZoD9OwP1pB4bU88pPS b6fd8JR5Sek30+74SkD8RmgP07A/WUHiM0B+nYH6yg8NqeeUnpN9Pu+Epz3ystYLevqLTaLQ p90xSueY+Yfs4xv37iyPEboD9OwP1lDKaG6BImErsD9ZQeG1uNNtbtH7TsyQocvXXMbLsRFT munpJH5Sek30+74SkD8RmgP07B/WkHiM0Bxjv7A/WkHhtTxOUlpLnPf93wl/5HlJ6TfT7vhK QPxGaA4x39gfrKDxGaA/TsD9aQeG1PPKT0m+n3fCUeUnpN9Pu+EpA00M0BT/AM7A/WkHiM0B z9vYH60g8NqeeUnpN9Pu+Eo8pPSb6fd8Jf8AkgfiM0B+nYH6yg8RmgP07B/WkHhtTzyk9Jvp 93wlP1C5SGlEWK2Gyvu2nKiJ8kvEgK6GaBY3V2B+soU1yl7C06tGHS4lmT7Jh71RYuzFR3SP Da7duGflapYdRnZN6RIEWUc5jutFQ445N6Xel43U21ZZIy90fKefjB0Tp9XaJG0YfIS9Xlo8 0kgu1CSJlyeb1FTciZHJft3orlavdKbiKsPmtaMr/Av/APU+M1F1flILo01AZChNTKudHRCx 9R9RLesynxI09OsiTP4MBj/O9uDmuvXXfOsVcSnUmJFlac12GvZlqNT+0qGmaxVddb7k6stM k5RZyIjtnKOz53UWHb09rXWaayeiUvmWxEy1vOkn0f0foFowmz1SiQpyqKnnPe7ab2KWlNz9 Np8m6NMTkGWgMTe5XbLWoTSS/wCqW5vWhE/kWP8A5SJ3ff8AqNa8SHCm2NiTT1w2GkXKZ9am 81N1zc58alWpEa129jo797XJwXZXrIfp7ptX7xne76pMxYEg9dqL3Q5dpyf2VKl/jNvanasV +qJS6RSljzD/ADnZfhG9e8n0OFrVsJtSW/p+VLRs227dtCmcxT1hMa1MvivVFd2kA1Q1rptD 52n0GYZMzuMJHRdqG1fWRcz6id13RqZbMi6bqqNh4XCNbGRVVfYRCS1j1Nm5yHKy1MWLMx3b ENjX5Q+FvUG7tRq++cjzb2NiOzEjRVXmcdODojTWwbbs6X24USFHm3J58SIqOwvqzwKk2oFI +O2NLNixqdzb3plW87wPs5ms7UysmiJ0qsbBcNauCi0iVfNVCpwJeE1ufOiYz6kOcNTNZqjc MeNSbbiOgSjlVitX7JE+qpIt8eW59T9QqHUO9zITZiZT56c7ub+k+1oagat3VPOk6NSViwmJ mJFc/GOs+2mOkc1WosKoXROOhyLvO5p71SKv6Toq3qfRKHJtk6dzEKG1MIqY2l9qlpJaqCLA 1neyJD7j3Oarc871lC1nk3XvCqM7XpmbWTV6uixXJERFwu9Tr6/NR7ctSTiRJqdZMTDU82Xh P89V9hzbcd23RqRW0lZeYiugOfiGyAqpsJ0bWOgn0vii5mzrjhzkbmqvMxJaGuNtF85f0Exs rQTU64ZB08yZmYUuq+YqvwqodM6W6QU2kRmVO5JuDNTrcKxrHeZ+lCza/c1u2vTnxpyelpeH DblsJrkarvUiBZv+uNX8mnUpjdp9TjMROKui4RCvbgsK5KfVHSEvWpiM6F9lVX8MccF96has Vi852JTKM+LCkXu2WwWLiKvYSLTHRxJqNCqN2TqLAwj2QkfiJno2i4m2/HPFj6N6h3ZNRnUy bmlk2Y+Vc5UVSX+TLqZlf4xmMfXO16VApNNlWy0m6BBhNTCIzCL+kgmpWrlBtaHEl5WZbOzy phGwnbWwvrQi/HKNc0BvehyMWdqtbjQYMNMr8pv7Cvm2ddCq9IdTmn7b9mEjVVVdnhkvLnru 1NuXbWbc5Xu3RGKvMsT1oXrpbpdQbViJUJ+YgzdSx5yq7MNF9SKVJbXLdA5OWqM/TGTUabmI Kv3o3b6D3+TNqb9IzHxDt6PUKdLSz40adgwYTEy5yuw1qFIao65wJTnqXa8djpje1Zly7TP0 EW+OaL10gu21pZq1CuRufiLssY2JnK+sjlJ0+vmr1CDTqbNzUebifgoq7KfpL2sax7ivqpOn Z+ciQJV67UV0w5cOTp2To+wrStuz6esGnvhOeqZfFiKjnfoUtxJtchQeTPqc6C1z5+Ya5U3p znA1lx6EXpb1OiTtXrcaDDZ0JEyvYdUamay0S3IcaSpkwydn1TDXsdtNhr1qUbTpS79TLiWK +ceixHZdGVV5hE9hJC1RkCzLviubChT80+JFfswmtVVz1ZLHo3Jv1Rm6fDmI05MQnPTOzzh1 bpfpxbtoQ+6osaFNVBzcPe9201F9SKTio1ik02WWYnalAloLUyqufhAs3/XEq8mbUxEytRjo nWsQhV46Y3Tb80yRdW40ScduViRMon6TorU/W6ZqUePSLWi8zBXMNz3b1iJ/ZU0+mullSuSZ ZP16ciQKc9dp7Iz1SKqepS4lv/FDWxpbf1zVfuCiTc1He1mYjnOVETr3kkj8nPWVsdzYfOuY 3g7nTuK2KRb1r07uenvgQoTG+dEcqbX6VK31Q1uptH56mW/MQ5id4JMZ2obV9ZF+fXIN3aT6 j2tKpGrM2+FtOw1GxdpcmgkLOvueqEvTpSPMxZmM7DWtcqon6ToC2LduvUWtvmpibdDY9yrE jRlXmlTpwdFabWLbVnyirAdBjTb08+JEVHYX1dQ+JLa5LkuTVqhGlGRYs9MMe5EVW85wPFcn J0vOQpkaYrVWiNlYTdpyOiIq49h1rqPqzb9pwYkKFMtnZ5Uw2HCdnYX1oc+RZy7tTbl/lb1V 7sNfDVUgsT+0gkLcaew9Qr2tCiMo9OlFjS0NUZBc1293VuLeoE9rbVpBk7EpXMJETLW870Et 0t0sodrvSfqkxAnKinFdrMNF9hZczUqZIyyxo89Ly8Fqb3K7DUQaSf8AVLLD1oRP5F//AKlX a53DecjK0yBXXNbNQZjahMbFRyK7qLC1T1xakxGpFqTDWvyrFmHrlrvYpy7q/PT8CYlX1KLM 7bou29IrlzhelCxKvKy9TtTqtOyFGpNKWYiuxzmX4RqdO86vpfdHe+B3WmI6w05xOp2N5XHJ 8lqBA01pE/T3QOejy7XRXuVFei+0s9qo5qKi5TrJWvzGQARoAAAAAAAAAAAAAAAAKpvDSLwg r0epJcEeX51yrzbU3IWsMJ1BLNc6TnJgp87OOm5q5piLGVMbSt4H1pvJrlqa575C6piBEf8A Oc1nE6GwnUMJ1IXanMUInJ8mMKvhpOb+K7J5Jvk0S87HhxZ265qYVnzUc06GwnUMINpzHP1J 5N8tTZ1ZySuiYhzKJhIiM3ohuHaMVl7let+Tyr0rsl04TqGE6hq8xRFa0EnqvI9xzt8TsWAq 5Vqt3KaiFyXacxYSsuaOiQVyxNjgp0dhOoYTqGpzFIJolWthsNl/zyMYmGtRnBD8xtD61Egv hu1An9l6YXzeJeOE6hhOoauRzf5LcgsOJtXRMOdEdtRHKzipsJrRGtUO2pmHQLynG8zDV0KA 1mEVToDCdRhWoqYVEwo1OY/nvcFL15m4M9RpmFNTki9+MOduVDWy1ua0SthstKXo0eHJsiui bncVXif0USVl1VVWXhb/AOyhjuSBj+Twc/VIriqzuSpWq7bUtP1mszEtNRGI5YKpnZU37OSL UEYjUu6baidGDrxjEaiIiI1E6E4GVbl2cqXTHIfkjVD0vm+weSNUPS+b7DrxU35yphG4zvXe NMjkTyRqh6XzfYPJGqHpfN9h15s+bjKjZ9ajTI5D8kaoel832DyRqh6XzfYdebPm4yoVuW4y o0yOQ/JGqHpfN9g8kaoel832HXmz5uzlTCNwmMqNMjkTyRqh6XzfYPJGqHpfN9h145uelQib 85UaZHIfkjVD0vm+w0d8cmmLatuRqzOXhNbENyNwqdZ2uqIiKqqpz5y37lhUzS6NSIb1SYmX Ne3f0INSyKtsnkzxrotyDWJO8JpWRHKmEQ3XkjVD0vm+wnXIhuSHU9LINKiPc6Yl3Oe7K78K dAtRFRFRVGkjkTyRqh6XzfYPJGqHpfN9h15jeq5XeGt2c71Grkch+SNUPS+b7B5I1Q9L5vsO vNndjKjZTazlRpkch+SNUPS+b7B5I1Q9L5vsOvFblc5UImFVesaZHIfkjVD0vm+weSNUPS+b 7DrtG4VVyu8zs+bjKjTI5D8kaoel832DyRqh6XzfYdeNbhMZUwjERFTK7xpkcieSNUPS+b7B 5I1Q9L5vsOvFbluMqEbhE3ruGmRyH5I1Q9L5vsHkjVD0vm+w68c3K5yoc3KcVGmRyH5I1Q9L 5vsHkjVD0vm+w68Ru9N67grcuzlRpkch+SNUPS+b7B5I1Q9L5vsOvETGd67w1uyqrlRpkch+ SNUPS+b7B5I1Q9L5vsOvNnzs5UImEVMqNMjkPyRqh6XzfYPJGqHpfN9h12jERFTK7zKplMZU aZHIfkjVD0vm+weSNUPS+b7DrxEwqrniETCLvXeNMjkPyRqh6XzfYPJGqHpfN9h141uz0qoR uFVcqNMch+SNUPS+b7B5I1Q9L5vsOvMebjKmEbhMZUaZHInkjVD0vm+weSNUPS+b7DrxUz0h ExnfxGmRyH5I1Q9L5vsHkjVD0vm+w68Ru7io2eO9d40yOQvJGqGPuum+w+cbkgTUdPl7pmYi NRVTaadgqmcb1CN87OVGmP52zOmeqlkXTMwKDLTE3LqzY29rGUPNbNta427Vp2o0anzErFm3 bUTYdxU/orEloTn7SwITvWrd47ll87peF7qEMcf6W6LXVqBLRqrqDU5mWn9pWojt64LatzQu Zt6UWDR7vmpVHfPVjE84uqDCZDRUbDY36qH7wXTmKkTSiv5+7ueyv9k8Fd0Uq1Yp8SRnb5nn wHph7FbxLqGEGnMc8w+TJTocWE5txR0bDRFRuxxVOklcPSevQ5dsCFfU62CxMNajEwhbeBga cxT81pFXZqVfAdfk/sPTDvN6CKpyYaekJGrcswuXZiKrPnnRWBhOoanMU1J6MVOn01JCnXrO SssmPMazcY8Ttfxjw/n/AHS5hhBq8xQtw8n+crsNsKq3xOzEFPwHN3HikeTNKys82dhXPMc5 Dxza7HzVTpOh8J1AanMU2/SC4H42tQJ/DdyeZwMN0er6b01An/V5pcuE6hhOoavMc9VDk2Nq NRdPT13zcxMrwe5m9D127ye4tAV8SlXhNS8Z6rtRGs3r6i+sJ1DCdQ1OYpldHa+qqq6gT+en zTT17k8R65HY+rXpOTSMwrWubwL+wgwnUNXmOfaTybYNMn1n5S6pmHMpva9Gb2m+fo/cL3Zf qBPqv1C5MIMDTmKZXR2vq1US/wCfTP8AZIzF5MMvFjxZiLdk0+ZiqquiKzeueJ0ZhOoDTmKM oOg05Q5TuakXpNyrHfORjPnHt8Ttf34v+fx9UubCdQwnUNOYpGpaJVifkoklM37PvhRUw9qt 4oR9vJdpyNbDS5ZjZbvVNjivWdHYTqGE6hqcxTEDRmtS8oyUlr7nYUuz5rGs3IH6N150NzPD +fwqYXzS58IMJ1DV5jnJeS/JqkR7rpmViRVXnHqze7JvqNoZUKPIpJUu9ZyVgqm9rWcS78J1 DCDU5imU0dr+PvgT+PqmvrugtRrUukrUb6no8Dphq3cpe2E6hhBq8xztL8mKQgzTI7LlmPk8 bCbHBU6SSLo9cCsbDS/5/ZZuaiM4Fy4TqA05ilZnRiuR5aJBiX/Pqx6K13m8UI0nJbkNhG+E 8wu0uXrsfPOj8J1DCdQ1OYpSQ0SqtPk2yUhfE7LyzU+xtZuPr4na/jzb/n0z/ZLmGE6hq8xz rG5MkvHmIszHuyaiTURVV0VWb9/E21A0FmqDKrApF5Tcq1/ztlnzi9MJ1DCdQ1OYpnxOV/P3 fz+fqnjrGhtWqki6TnL9nokB25zVbuVC8hhOoavMc5QuS5T2PhKlyzCth70TY4r1kL140PgS veman7hjTqzMwkDL2fNRDsFUTBTvKUT+AW7j+voJUskjVWHopPUmkyaSF6TjJXZRyQUbux1F 4SEB0tJwoDoixFY1Gq5enB47WRe8Elw+xobMiyAACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAHjrU73vpU1O7O0sCGr8dZ7DTXnjwWqnX3OoEYl9RUi2hN11ZNE7mejdjPHJKrUrLa3Ro VQSHzaP6Ck6ciLpDWEX8sz95amk7U8DZZFCJcAAoAAAAAAAAAACplMFR8pq2qLWLBjTdRk2R o8KI1sN68UTqLcIrqhbk1c9pR6TKvYyK97XIrlwm4RL8RXk42xRKFY0CZpsiyDGjKrYj06UL URMJhCNadUCYt61pelzL2uiQ3Kqq1dxJQQANLeNySFsUOPVJ9yqyE3Ow35zvYgVugVnotqnL 6hpNOgS0WAkF7kRsRuFwins1V1Jk7PWXp8GDFm6pOJ8hCht2l3daAWAiovAFOWrrDG8IIVFu enR5ONMInNRFh7LFVeCZ6yVap6hyNlScBkSDFmZ6bT+DwoTcq5fYBOUVF4ApSg6yTkrW5eSu qlx5SFN4SDF5rZairwRVXpLPuy56bblEfVZ1yuhtZtNYze5/sA3aKi8DJWuiuqMvqLDno0vL RYDJeOsNrYjcLhCyWrlMgZACb+AAKuEyCqdQdV+9txutm3pKLPVOFhYqsZtNai+wC1kXKZQd BWWmOqMC5KvEodSlY0nVISqmxEbso/HFUPxqVqoyg1tLdo8nGnaruVzYbNpGIvSoFntcjuBk qzTTVRK5XHW9WpOLJVTOGI9myj8dXWWHcVUgUWhzdUmXIkKWhLEd+gDYAiGmF3uvGmRKkyXf DllX5Fzm42kJeAAAAAAAAAAAAAAAAAXgu/BAdQ7pnaJctJkZdquhTSLtrn1k9VU2V3oVJrHl 1828zrav7wNvHuyoM1OZQkavczpZkTOelSxU4FNTeE1yhplc9xQy5Gpjf1hGQAFAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABeBWGu9BqlalKGymyyxlgTiPiY6E 6yyo0eFC+yRGw16NpcZP0q7WMIipxyEvrxUCDFgUiUgxG7LmQ0RyGwCcNwCgAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAaa9FXwUqm7hLuNyaa88eC1U4/ydwFLSGH6P1jPm4jMz2kmt DUmyLctKXg1auwYD2cUcRqmMe/SKssZDfEV0ZiYamV4nmkuT7ad423CmqhM1CDGf+DnGFKz6 kdK5Q9lVS7oVElJuE+HEVU7oReBPVv8AtNqqjq1COf7V5KctRb3hT/db1prFXOH+fgtddFLW Vf5VO9o8PUo8YFpq3dWYW7iPD+09nPfqFgiyaKWsn9Kne0z4lLW4d1TvaPD1KPGBaSpurULc Fv600TK1qERbxKWt/WpztM+JS1v61O9o8PUoS/7TVFVK1C3BNQLS2ft1C9pFk0UtZP6VO9o8 Slrf1qc7R4epUl/2m7KpWoRhL/tNVwlahEXTRS1k4TU72jxKWt/Wp3tHh6lC3/aaJnv1CwPG BaSpurUJCL+JS1v61O9pjxKWt/WpztHh6lLr+tRqZWtQjPjAtNVRErMLK/8A5It4lLX6ZqdX 9ITRS1sovdU7uXPEeHqy5Cclp+VSYlYiRYTuDk6TXXPQaXWJN7ajLpHayE7DVX1Kemg0mXo9 MhyMs97obOCu4nqnf5JH/NO/cpGlA8mJrYd0VmFDYjGMiRGtanQiKXDOWlRJm45e4ZmVY+fl srCev4PWU/yZVRbsrmPy0T/US3XrUWFa1JhUaQmYLa1UE2ZfnHYa1OC5CIlqzOQ761LpVs0C CkeLTo7JqPHYnBGrvQuKsWrR6nWqfWJ6WbFm5BPkHL+CQvRKj23bFHar6zT5qsTzudjRFjNc /Lt6tReOD2666jy1jW/sQokNKrNt2ZRr181V4KqhUM5QNQhXXX6TY9El0mJ6DNQ5qK5n4DEX eW7OWzTahTZaXqcukwktDw3PXgrjQ2jUOiSa1uqV2Qma3UXc6rnTDVcxHb9lOn9BcSqiwFVr tpNncoFA8l+HDg3DcsCEiJDh1CK1qJ0JngdANRUTeuSgeTEv/U11Ju+2UX95fyYa3rAqzU6+ axZF3SUzMyj41vRWoyNG6GPVTx0jUapXRqV3ntuXdFpMqjXxplq+a5F6D88pavyEO11tqHCS aqk8qJBhY2lbndtYI1yXJtbRizNhXBDhQqzBRInPLu51HLlG56QjoZU2muaqbl3EbkLat+36 tPXDDgQ4UzHZiYjL+KhJM7t67yhtcb5h1S4oenVIqMCWiRXI2oRXxEbsw16l6wr4WfEiXrr5 4S0uVVtNpCPl4kVu5HqvSa+67glNNde52t1KH3TAqkFkBq8dhest7TiStugW/CodDqMjMR4c LER0OK1XxHInFccSo7ciU1/KArUG9mwXYl29zpN45lFzu2c9IHzty4JTUzXen1elsSVg0ZHQ n4THOZ6STcoeuxqjPUyx6VEcsxNR2tnGt4pCdu3mguR1Jha80JtlNhNVYERZlJTHNK7o2sGk lq3dNG1gqVy1ahxJtXQeahbMFXIiou5UCL604iUOm0tlp0maZGiUpqQozWp81fWS05V5P19V aZ1duSHEpsZEqEyjoqrDX5P/AIOqIfzM9e8K+VQm5eSlHzMzFSFCYmXOXoI54wbTXLe/EJFT ibyu02BVqXGkJlXJCiphyt4ldeJO13Oc7uqcyq5XeEupQl/2mqKqVqFuHjAtLZ+3UL2kW8Sl rJ/Sp3tHiUtb+tTnaXxPUqS/7Tcm6swtxjw/tP6bhEXTRS1k4TU72jxKWt/Wp3tHh6k66gWk n/m4Rlb/ALTTGa1CIt4k7W/rU72mfEpa39ane0eHqULqDaW19uYXsMrf9p8e/UJEUiviUtb+ sznaZ8Slr/1qd7R4epOuoFpp/wCbhHxntSLSlJGLNurEJ7YbVXHWR3xKWt/WZztPNVdDLbmq ZHloM1N7b2qiZXdkeHrx2vyjdPqs6LCnqlBkHMerURVznC8TyX7c9BuK8bej0WoMm0Rq42en eQG0+SFS2zUaPcE7FaixFc3mXdGdxM4+kEtaly0V9vOmI8GE3D1i78bwTW6mvv6w8/1KGXI1 F6ynp5r265sRyJlJOGi+0uJOBFAAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAANdcdVh0aiTtTis2mSsNYip1mxPJVqfL1KmzMjMoqwY7Nh6eoDm+2afqBq1O1Wswb ri0eRgRlbKy6NzlOg1lF1E1MsS8563KzLR7jhykJHudnGyzrJHBsrU+wajUmWZM019NnYquY ybiYc32ISXSHT2o29UahdF9TsvGqc/D5uIj4m1DRvVvKxiTacarW1eLoUnLzTYFTcnnyiouW r1FgEJkrDtSJcsvclLhwIEzBRd8qiI12evBNk3IRqAACgAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAGmvPPgtVOrudxuTTXombVqiZX+TqBCdC4UKPb85DjI17FemUUsyDChwoaMhtRrU4I hW2gqNSgzaf20LMTgEjGymc9JkAKAAAAAAAAAAAAAAPy56Na5XKjURMqq8CMVy/LapFUl6fN VCE6PH+ajHoqJ7QalJh7UexzHb0cmFPzAekSE2InByIqexT9gR217OoVvTcebpcqkKLHcqvV F4qvE0t96UWjeNTg1KsyPPTMHPNv2lTBPERE4ACsaRonZtNqkGoy0q9I0FyOavOLuVDdag6Z 2vfEeVj16T7oiSv2FdpU2SZtxjcmDKruzx9gFWSWhllyk3BmoUo9IkJ6OZ8o7cqFnwILYMBs FvzWphD9534wplVwmQI/a9n0S3ZqbmaZLJCiTUVYsVUXi5eKkgRERMIE4ACNzllUKcuuFcs3 KpFqEFmxDeq7kT2H5qtjW/ULhlq9GlESoS7kcyKi44EmAH5ViORUdvymFK1r+iVj1ivR63NU 9VnY6YfE213lmGM/pAgNlaU2vatZSqUuA9kdvSr1U9t96b2xeETnqrI7Uw3e2K12Fz+gmSJg LwAhti6bWzaKrGpcmjZl290Vy5VV/SS50Ji79hmetWn0TemTCrjoVQNJQbXpNFqlQqMjLQ4c xPv25hyJ85TeGM78YUyAAAAAAAAAAAAAAAABhrURcoFRvFUQyYXGN4FQVba8fi/i9ysLfaiJ vKiqy416X/CsLdanTniEjIACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAGtuWqto1Bnqm9m22VhLEVvWbI8lWp8Cp02ZkJjKwphmw/2Ac129TNQ9VZmp3BDul1LlJW KvckurM5bxQ19BpWqeodem7Ur1ci0+Up7dpIzmboqcMbix9LrFvCyb6nIUGJCjW1NRFeu0/L 2dSIhbE3LNl4UxNSUtCSZ2PNXHzl6lLrEjn+0lufS3VClWrU62tSpdTa57d3zEQ6OhrtMR2c ou9CkbUsK7qzqn4X3kkFsGTcqSUJjspsr1oXexMJjCIicBVjIAI0AAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAae88+CtT37u53G4NNef3K1Tf/AEdQIXoGmKJOed+GhZjXIvBcnPNl6qW1 Y9BnEqrJxz9rPycJXIQ6v8rxkOqwpejUxj4LoiNcsVqo5ELjOuuAVFRNeLUmaNLR5xk8yPEZ l6MgKqZ9SnsXXGy1TH8Y/q6jF6i0QVd48bL3fbHd/wC3UJrlZa78VH9XUYbFoqqImVHRkq7x 52V83FRX/wD51HjxsvOcVH9XUYbFooqKmUBV3jzstN2Kj+rKbG3NWrWrtWZT5FJ3n3Ju24Co hMNiwAYa5HcOrJC9RtTLVsaVdHrU+1HI3dDYqOdn2BU0RyLnC5UiF66hW5bMJzZ2fhLNfgy6 L5zlKAp+u9c1OuaLa1sw4UpLvXZSPtbMTC9KFuWhpPRaNioV+adV5v5z3Tu9GL6lUrO78R2P W9RdQpp8tR5aPb9MiJsrFityj2+o0WptgWbaFnLMVepItwPc18KM6IuXuRehCUal6vSlGmW2 tZUt3dVn+YjYbMwmZ4b0PHYWkU9WKpDufUGcjTk2vnMknu24TM9ARPNEKxVK1YErN1VjocZq 7DdpOLE4KbPUO6m2tRIs9Dk3zswjFWHBZxcSCRlYEpLNl5eCyDCYmGsam5EPjVpKVmZWK6PL w4qthOwrkzjcpGlT8nfUeuXs6eZWpWJLRIb3Kxj+KNzuN/rJfU9a8rK0+kyMWbqk+nyCM6CB 8mbPhZW0XoixET2ZL0mpCQmZiDOTMpCiTEBF5uI5u9nsCqMj3xqBZU9Tpy62xJ2nVCIyHhG7 PNK7r9hMtWNQZyiy9Mp1uSUSdn6sn8HfD37JENYKnG1Au6n2NQGpGZJzDJmYjJ81ERd6Z6y5 pKhUuUgySxJeHEiyTfkYr03s3b8KBTXhzftk1eQiXiyJN06ee2Ej9nZSG9y8FJBrPedx02t0 CkWyrkiVR2OcRMom4jmqFTj6nXvI2VQmJFk5COyajzHQjmLvTJsNb7du6Zum041py0OKsm75 Rz1xs7gj3UBNVkrUJtRnldKoqbfmFwQ1dsojuOEypz9Huy/NPrmlPCdjI9LnYjWK/b2la9y8 E9R0DBekSCyInBzUXtCv0YRVyqYKg1sq1zWfXZO7ZJzo1GhIkOZhbWcZXeuDV2RdVd1F1EdU aPFiwralEa9j0VU5xfwkUC83OaiLleCZUpa8b6uqsXzMWjZkCJAWURHxZzGWqil04Ryb0yio aWoLQbclpyuRoMCURjNqNFaiI5yJ+8CuNMtQa828nWVd0tE74Py6BHduSI1OKohjUK/rhnL2 fZdmwH92wGo+PMNTKMavWhptM4E/furMS/YsJYVPpyugyaqmOcY7pNHqBXZuxNc5mqW5Ld8Z qoQ2QpmFjaSG3r3BEysK/wC5KfejLNvKXiOm5lFdLTKphHonSiGrq93ah1fUudt+g85Ky0vC 20erMo40Fi16evrXCVqNyS/e6Ypm1DlIeNlIjV4rvOg6otNosnO1vuaEx8GCr4kREwqonrAp K179vmBqtT7Uq0R0zCjqqRXI3CMx1nQbeHHJRWgck+v3ncV5zqOfDizCOklXgjfUXqmOgKA8 NeqctR6VGqE3t8zCTLthMqV548rLVVbio+auF/g6hNxaIKuXXOy13YqP6uo8eVl54VH9XUYb Fogq7x52W1MYqP6uo8eNl4/8j+rqXDYtEFXePKy0yuKj+rqE1ystd+Kj+rqMNi0QVcmuNl4/ 8ju/9uo8edlruxUf1dRhsWiCrvHjZec/xj+rqPHlZec/xj+rqTDYtExtJv38CitRuUPQ6Lbj p2iS8zGmUzhI8FWtIbYfK3pdQWGy4ZB0Fztzkl4auLh1Fk1Z2delRE3dys3lvNVOGeBQdu3b Srv1m7vpLY6QllmfZWbKl+NxvxxIMgAKAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAMIiJn1mT8RosKDDV8WIxjU/CcuEMQYkONDSJDiNe3oVi5RQP35u0m9MmSu6 pbU/F1Np9dS4YsKWhNcjpLncI/P9ksROAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAN Pef3K1Tf/R3G4NbcklEnqFPSkD7LGhK1vtAq/SW3KNXbbnYFSkWRmOeiLlEyp+a9ydNOqjHh zcGlrAjsftK7a3KS/Sm3p+3qXMS88iI9zkVN5NejeExFaVY1uyVMgSTafDcyA3Zauym89K2f byJnvdDX/KhIUTCYQAxHks+3t38XQ9/9lAtn28i473Q/dQkIBiPrZ1vZx3uh7/7KBbOt5E+1 0P3UJAAYj3gfb2/+Loe7+yh95C2aLJTKR5aRZDiIm5yIhugDH5XKKiJwOCOUBRnSXKAlIFyO jR5CeipsM21RMK474dnZXHE5U5dtpT81LyN00+XiRI0pstRYbcuRc+osT9KwvanyOk3KIpk7 TZd8GkfJP2UX52Uypdlbuq9tXahCpFqSkxRaK5Pl5qM3KP8AYpRGm2m2pGqFfp9XrkOLFkJd 7Ve6YcqLsp6lO8LUokrQqJLU+UhMhNhMRrkanFRUk1F9LdMaFZUq50CCkefiJ8rHiedlfVkn rGo1DKIicARvA+M7/JI6Y/m3fuU+wVEVFRUyi7lA5+5NLYjburm3Dc1OdiYVfrEm5R2pESyL cZKSbXNn55uIcXoYmcKWbTqPS6dFfFkZKDLveuXOY3Cqeev21Qq8rO/FLlp7m/mc6zOAKX0a uHT61qZBY6sS0eqVB6RIsRXZdtu4p2m45R+pfgtbsrTaY9WzlVbiDMJvSGnTknkLTmx4UVkW HbNOa9i7TXJD3opsKxaluVhIKVSjyk3zKYh84zOz7AipdG7l09tWlwJKDV5aLUZ9yRJiJtZV YjuKdpJdSdQZi0LgpKRpGJHpE275WZRPNgt61Uk0HTqyIMZsaFbVOZEY7aa5Ie9F6zdVWi0q qSXcdRkYEzL4xzcRuUwFUJrVdlOv2do1vWpipREmYUw+NC3oxEXeinQcmiw5ODDVFy2G1F7D UUCzbYoMdY9Jo0pKRV/DhswpvgKY5Q9wzE3Bh2HRZZ0apVDCq5EyjGLuVcEf0ImJ7TO4HacV pEiQFw6VmUbhHvdvVMl7rRaW6qtqjpKC6damy2MrfOROrInaJSZydhTszIwYszCXahxXN85q 9aAe56ojV34wmTmbWu/5Kv6hwrGmJxJGlSj0fOxXLhIzF4tRTprZRUwu/dgjlQsOz5+bfNzl vSEePE+dEfDyqhGi09u6yY8vAte2J6A5IMLm4TWLvwn7ysabUYFi671WauqCrZScgtZCnYqf JouejJeFFsu1aNNpN0uhyUpHTg+GzCoem4LaoVfhJDrFMl51qcOdbnAVRNbqUvfmuNBj2tB2 5SnscyNOQUxDz68E25RdamqZZ0rR5RHRI1VidyO2eOFTGSwLetqhUCG6HR6ZLyaO+dzbcZPT UaTTai+E+ek4Uw6C7bhq9udletANBpLQfBuwqXSnQ8RYUJEiLjeqksCbkwgA+U3LQZqXdAjs R8N3FF6TR+B1vbS/xdD37/moSEAR7wPt7d/F0P3UDbOt7C/xdD91CQgJiPNs+3lz/F0NP8qB LOt5cr3uh+6hIQDEeSz7ewn8XQ9/9lB4H29hf4uh+6hIQDEedZ9vIm6nQ1/yoPA63tnPe6H7 qEhAMR/wOt5P/HQ/dQx4HW87KLTofuoSEAxBL10vtm5aKtKmJFjIXHKJg0Vr6Bad0GFC5mkc 5Fbxeq5ypbARMJhAYpZafJ0zXLuaSl2woaSrMI1MF0NXjuK+n7VqcbVZbgY1O4+YazOelCwk AAAKAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAANFfFFbXbcmaasZY CRE2uczjZVOk5cl9Vri0sqFRtruzwpl4bVWDElkzzKqvSvqOpb0pEet2/MU2XnYsm+LuWLDX ConSQyxNNbHtanxJSYjSFTmYjlWNHmXt23Z6F3ljNiB6HSNSve55e+Kxc8GcfCRVZIw1VHQc /guQ6KTGNxUlA0xo9G1FZcVuVxkGA9VdFkIMVuw5fYhbbUwgqwABFAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPlNSsvNQ+bmYEOMz8V7UVD6gD4y0rAl02YEGHBYn BIbUb+4+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQfWy4Zy2dPp2p09dmPtJDRVTONr dk5lrFiR1tqgV2arcxEnKtPqyK5kdyN2V6MHXF5W9K3Lb8xSJ1cQou/OOClcVLTGlJp3Ctjw hZ3RKxnRpaMsRqOa5eCFlZsVvQrRiab6122sSpTE1Lz8Jz0hrGVx1PDfttRyIuFTJQ2mGls/ L3fK1267nWqR5BFZKQnxUdlql9oiImE4Cn5AARoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAANLeN00a06PFqtbm2y8tCTLl4r2AboGks66KTddHS q0ePz0s5cI7GDSXzqbbVpRmSlRml7rfubCY3aX9OAJsCJWHqDbt4sclJmlfFZufDc3ZVF/SS qPGhwILosVyNYxMuVegD9g0VpXVSrmSbdSo3OtlIqwoi4xhyEdu/Vi1rbrj6NOzD+7GY2mNY q4An4IPZeplBumrd7qc6KsXCr50NU4E4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAITrPcU/ben89U6cmZhFSG3dnGd 2SntL9HYF324lw16tT0abmYjlVYMy5GonVguPWOrSFI0/qE3UJNk1BxsJDdwVy8FOetKbL1U nLfiTtLuCckJGNGe6DLw3ea1FXdgs+MX6uiyNGaLa9wwaxLT9RjRYSea2LMOc3sUtEpbTa0d SqbdMCbr9xzk3ItRduE9dyl0itQABFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB85mJzUt Fi/iMV3YikO0+vWHcMnMx5hWwEgxHNy7dwUltRVe4Jndu5l37lObLWsCuXfSaj3sumYpOY0R ObhpnO8JV51a/rTpcNVm69Io/KIjOdTJvZKpSU3KMmYExDdCeiK1yKcLXtyb9SWVNsaBHmaq xIiKsRzsdPEv619ILrhW/KwYl8zkqrWNzCRudlccC4m1eCTMDfmMz1bwszA6IzO0qFdI7p3Z 1CnsJ/YM+KS6F3eMKd9wLtW6szAwuIzO0d0wMfZmdpUK6R3SqKiahTvuGU0kuhE++FO+4Dat 1szAxvjMz7Q2Zgb8xmL+kqLxSXQn/wCoU77hhNI7oRV/7hTufqA2reSZgZXMZmPaO6YGfszM e0qLxSXRjPjCncfUMLpHdGcrqFO4+oDat5ZmBlMRmdoWZgY3RmdpUXikuhV++FO+4YXSO6VR cahTvuA2re7pgY3RmdoSZgY+zMz7Sok0kujGPGFO+4PFJdHDxhTufqA2rdbMwMb4zFX2hJmB vzGZ2lQt0juhM/8AcKdz9Qz4pLox98Kdx9QG1bvdMDP2ZmPaFmYGfszMe0qHxR3RnK6hTvuG fFJdCr98Kd9wG1bqzMDojM7QkzBc5EbGYv6SofFHdKpu1CnfcPtJaUXPLzkOO+/517GLlWqz coNq3k38CrNfbMptftmZqNUix3JKNzDhsfhq+1Oks6ThugysKE+IsRzGI1XL+F6yMatY8AKp j8nvIqF8lVGw9PZiGxMMZNq1idSG/o+mtLl77qlz1FqTsWcVFayL5zYeOpF4Gh5LCbNhTed/ 8McejW++ZqnQ4drWyrYlcqK83DVrsLDUCJUaFKzHKZbEtVrYcjClHNmebT5JIiLvTCdJMOUV ckWmWp3ikHr30q6c1Lo1d+TaaR2VK2fQXRY7mRKlMfLzcTOXba/OQpmsXpRp/X6PHuiYiy8j R3o+SVYaqirjeEXZo1RpG37PlJJsRiz8ZjYk03Pnc505KprNxUW3uUBcEWq0aLVHxYLEhMZD R6ovqRTwaQam0af1kqEutUiRIUaI/mWqxcYVdxdcrBsifvaacyDLRK/Aaj4rnJhyIvAK1umd 8WlclRjS9PpTaVUYaqnMxYbWRF61RELFauU4YKCu6Xk6fynKC+ksZDjxpN7oyQ+DlzxUv1uV hpncqoBh72MTL3I1PWfNZqXx9mZn2mhv23p64KQsnI1iLTIiqnyrEypX/ijujG/UKd9wJbVv JMwMb4zO0JMwcLmMzPtKi8Ul0Y++FO4+oYXSO6f/ANwp73Cm1bzZmBjfGZ2hJmBtfZmY9pUX ikuhE++FO4+oE0kujO7UKdz9QJtW73TAz9mZjp3jumBn7MzHtKi8Ul0b/wDuFO+4YbpHdKLj xhTqr9QG1byzMDG6MzPtHdMDH2ZnaVEukl0Lx1CnfcHikujH3wp33AbVu90wdn7MzPtCTMDH 2ZnaVCukd08fGFPJ/kM+KS6ET74U7j6gNq3UmYGV+WZj2jumBn7MzHtKiTSS6M7tQp33Amkl 0LnGoU77gXat1ZmBndGZ2me6pf8ALM7SoG6SXSm7xhTqr9QLpJdC/wD6hTvuA2reWZgY3Rmd o7pgbP2dmfaVEukl0dOoU77g8UV05++FPe4Dat5JmAqonPMyvrI5Gvy1YVWi0yYrUpLzUJ2y rYkREXJBWaS3Qj0XxhT2U3/MOeL55PepNT1FmpiXizEzLrFz3btYVfXgYltdm1O4ZGFb07Up OcgzPc8F0RObci5wh+NP66647Xlas5uysducYKBt7Ra7rbsyozM9ek3sslnK6XVu5UxwLj0L ymmVKbxckPevXvIsToBOACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAACHaw0mLWbEnZGDC52I7CsaiZ3pwOf7JuDWe16StJZTWxJeHEcsP5BVVEydYn42F607C6z YpPTG8tTKpdkCUuCmpBkHZ23czs//ku8/LWqi5ynYfoiyAACgAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAA89RT+L5lf7l37lKv5PaosjPcU/hET95aFRX+L5lP7l37lKu5Pi7UlPKm75eJ+ 8ItdrVavFVT1n6wnUG5RMKuQFAAAGE6gAAAAYAAAAAMJ1AABhBgAAAAAAAGquukMrdBmqY9y tbHbhVybUKiKmFAiWmFnQbMoMWmwHq9IkVYmVXO9Ss7t0NnanqBOXZK1SK2YjORzEdFXEP2d RfKbjGymc43gVXp1p9cVBuFZ+o1Z81BVqorHRVci/oJ/HtqgR46x49HkYkVeLnQUVVNsiInA AVvaGk1BoF5TNwwJOBzsVznNTYTDc9R4dStKFrVe8JKFPRpOqqqbeImyxyJwyWsYVEXiBWGm GlUO36w64qxNRZ2sLnD3P2mtReKIWgAAAADCAABhAAAAADCdQwAAAAAAABhOoAAAABhUymMq nsMgDRX8mLJrG/8Aoj/3Gj0L+9vTPqf7qb2//uJrH+Ef+40Whf3tqYv93/uoE5AAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAHwqEaJLyMaPChLGfDYrmsT8JU6CpYuqt4NfEamnk25rVVM85xQJbi4QUdSNbrgq vPpT7EmYyy7+bio2J813Ue7xrXjlcadTfxC4bFxgp1NVryVF/wC3c38QndgXFU7gp/dFTokS lRPyb3ZUhqSxobYsJ8N3B7VavsU0tqWzTrdhRYcgrsRHq52etVNvNx0l5aLHcnmw2K9f0Icz VrlcUWnVmZp8OhOjcy9WbaP4qi4Bbjp7KdYynWcq+WFS/RmL7yheWFS877Yi5+spcOo6qCKi 8FOVfLDpefuZi+8o8sKlpwtiL7yjDqOqsp1jKHKvlhUv0Zi+8o8sKl+jMX3lGJ1HVSKi8FGU 6zlVOWFS04WzFT/Mo8sKl8PBiL7yjF6jqrKYyMp1nKvlh0vGPBmLj6yjyw6X6MxfeUYdR1Vl OsZQ5V8sGl4+5iLj6yjyw6XjHgzF95Rh1HVWUzjIOVfLCpec+DEXP1lHlh0vj4MxfeUYdR1V lOsZTOMnKvlhUv0Zi+8o8sKl5z4Mxc/WUYdR1VlAiovBTlXyw6Z6MxfeUJywqWnC2Yqf5lGH UdVZTrGU6zlXywqX6MxfeUeWFS/RmL7yjE6jqrKDKdZyr5YVL9GYvvKPLCpfozF95Ri9R1Vl OsZTOMnKvlhUvH3MxcfWUeWFS858GYufrKMOo6qCKi8FOVfLCpefuZi5+soTlhUtOFsxU/zK MOo6qynWMpjJyr5YVL9GIvvKPLDpeMeDMXH1lGHUdVZTrByr5YVL9GYvvKPLDpnozF95Rh1H VWUzjIVUTpOVU5YVLznwYi5+soXlhUtV32xF95Rh1HVQynWcqpyw6Z6MxffUeWFS/RmL7yjD qOqsp1jKdZyr5YVL9GYvvKPLDpfozF95Rh1HVWU6wiovScq+WFS/RmL7yhOWFS03pbMX3lGH UdVZTrCKi8FOVfLCpe//AKZi+8oTlhUtEwlsxU/zKMOo6qynWDlXywqX6MxfeUeWHS8fczF9 5Rh1HVWUzjIOVfLCpec+DMXP1lHlh0v0Zi+8oxOo6qRUXgoymcZOVU5YVLThbMVP8yjywqXn PgzFz9ZRi9R1VlBlOs5V8sOl+jMX3lHlh0v0Zi+8ow6jqrKdYynWcq+WFS/RmL7yjywqX6Mx feUYdR1DVJODUadMSEdV5qPDVj8ccKea2aLKUGjwaZJK5YEFMN2uJzM7liUlqbT7biNT1vL8 0rvqRvu14NakoaQke1FdDznZIal4CLlMgKAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAdGCPX5UYNDtGp1RzGNSXgq 7KoSEjWpluuumy6jQ0mUl2zUJWq9U4Arm/kc3r30vevUuK5r0mpqJHair0HWDIMJW5WE1P0H KnJO0jWjXfVLhgVRqrT5h0rsInz/AFnV7UVOKlrP5fjmIP5NvYfqGxGpuaiew/QI08Ve30Of /wAPE/0qfzUoFNgRrjr1TdBZFiycWJFZDemWuVHLuU/pVXFzRJ/Kf0eJ/pU/nDayqlSuZU4o +L/qU1GP0s3TKQuC+pJIkpblvS0ZNzWR2IxX+tE6SceKO/em3rY7ENVqLIOomils3ZQoqylZ gyibMRvTld+4g1Bu/XWs01k7IOmpmEu7nGt3KEWcmkd/Iv3PWv2IZ8Ud+Z+5+2MexCv+/PKE 48xO+4O/PKDxjmJ33QJ+mkd9pn/p+1+xB4o786betfsQr/vzygvyE77plazyg/yE77oPE/TS O/Mfc9a/YhnxR33j7n7Y7EK/Ss8oPC4l533B355Qf5Cd90CwPFHfmPuetfPsQwmkd+p/6etf sQr9Kzyg0/mJ33TPfrlB5+wTvugT/wAUl++j9r9iDxR376PWv2IV/wB+eUF+QnfdM9+uUHjH MTvug1P/ABR356PWv2IZ8Ud98Ut+2OxCvu/PKD/ITvumUrPKDT+YnfdB4sDxR356PWvj2IYT SO/N6eD1r49iEA788oPGOYnfdCVnlB53S877gE/TSO+8b7ftjsQymkd98Ft+1+xCv+/PKDxj mJ33THfnlBfkJ33QJ/4o79Tf4PWx2IZTSO+1TKW9bHYhAO/XKD/ITvuDvzyg855id9wGp+uk d+dFvWv2IZTSS/cfc9a+fYhX3fnlB/kJ33TPfrlB5zzE77oE/wDFHfuPuftjPsQJpHfud9vW x2IQBKzyg87oE77g79coPf8AITvuAT/xSX7n7nrX7ECaR39n7nrX7EK/788oL8hO+6Z79coP 8hO+4DVgeKO/M/c/a/YgTSO+0Xdb9sdiFfd+eUH+QnfdMpWeUGn8xO+6DxP/ABR35nfb1r9i BNI78xjwetfsQgHfnlB/kJ33QlZ5Qe/EvO+4BP8AxRX3jfb9sdiGfFHfmPuftfPsQr/vzyg/ yE77pjvzyg/yE77oE/8AFJfib1t62OxD9eKO++i37Y7EK/79coP8hO+4O/PKD/ITvug1P10j v3O63rX7EM+KS/cfc9a+fYhXyVnlBp/MTvumUrPKDT+YnfdAn/ijv3G637Y7EMeKO/sfc/a/ YhAUrPKDThAnfcHfnlB4xzE77oE/8Ud+Y+5+18+xB4o78x9z1r9iFf8AfnlBfkJ33TPfnlB/ kJ33QJ+mkd+Iv3PWvj2IPFHfno9a/YhAO/PKDVP5PO+4O/XKD/ITvugWAukd94+5+2OxDDdI 77X/ANPWxu9SEAWs8oP8hO+6O/XKD/ITnuAT/wAUd+b/APp+2OxAmkd+Yx4PWvn2IV/355Qf 5Cd90z355Qab+5533ALATSO/Ez/09a/YgbpJfuF/6etfPsQr/vzyg8Y5id90JWuUGnCBO+6B P/FJfvo9a/YhqrqsO6bapUSpVOh2w1jEyjG42nexOkiUeu8oCDLxZiLBnGw4Tdp7lbwQ2Ggt Sr2pd+Nl73nXzcvJo5GQF3dAFc3FJuuqlT9QqlJlqZFloTlZDgQ9lFxwU6l5FqJ4rISomMsQ pfVZjGVSvQYbUZDhSz2NRE4ImcF08ixM6VwU/sJ+8VfyvhnzUMmGLlvDBky2AAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAHnn1zJxk6mqeg+M8irKRUamV2VAqjk2fYLp//tX/AO5bpVHJ1lZqVg3P3TAdCV9Uc5u1 0pv3lrlqT4AAivFXt1Dn/wDDxP8ASp/OC1/thdH1ov8AqU/o9XcpQ5/K7u54n+lT+cNrp/GN z/Wi/wCpTUY/a/tVU/8Aprtzr7lb+8szkmwYb9JJdXwmOXnXb1QrPVb/AO2q3d/9Fb+8tDkk feilfzrhfhPq1+5oG75CH2BsrAxvgM7D7gy2+CSsDK5gM9W4NlZfpgM7D7gD4pKwMr8gzHsM dywMfYIfYfcAfFZWXxugsz7B3LL4+wMz7D7AD4tlZfG+AzPsMJKwN+YEPsPuAPgkrAyvyDMe wdywM/YIePYfcAfBJWBlfkIePYZ7lgZ3QGY9h9gB8O5YGV+Qh9hlJWXxvgMz7D7AD4NlYGN8 CH2DuWBn7AzHsPuAPh3LAz9gZj2BJWBlcwGY6Nx9wB8e5YGfsLMewx3LA3/IQ/VuPuAPj3LL 4+wMz7A2Vl8b4DM+w+wA+DZWBvzAZ2BJWBlfkGY9h9wB8ElYG/MBnYZSVgZX5BmPYfYAfDuW Bv8AkIfq3Ge5ZfH2BmfYfYAfFJWXxvgs7DHcsDP2BmPYfcAfBJWBvzAZ6twbKwMb4DOw+4A+ KSsDf8gzHsMdywMfYIfYfcAfBZWBn7AzHsM9yy/5FnYfYAfDuWBv+Qh+rcZSVl8b4LOw+wA+ CSsDK5gMx7AkrA35gQ+w+4A+KysvjdBZ2GO5oGUzAZ2H3AHxWVl8boLOwJKy+N8FnYfYAR6+ YMFtnVhGwmN/gruCHJ3JPx406omP5x+DrS+/uPrH+Fccl8lD76lU3/zj/wDcs+MX68GrSfx1 cf5iJ/uXPyLVVNLIC4RU2E/eUxq1vrVx5/IRP9y5+Rd96qD9RP3lqflfTeAMM+ahky6AAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAYc9rcI5yJnhlTJVutFcqNMu C2IElMc0yYn2sip+M0Jbi0gAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAABVROKjcqY4oV/rtXKp Q7IWao8VIM2+M2GxypnCqVpb19ap21IwJy4KbMXBLP3qsrDxsoB0LKS0CX2+Ygshbbsu2U4r 1n2K0tLWW1Kv8lUI7aPMquOZmXYdksSQm5adlmx5WOyPCdwe1dygfcAAeGv/AGin/wDDv/0q fzhtf7YXR9aL/qU/o/XvtHP4/q8T/Sp/OC1vtjc/1ov+pTUY/a/tVt/Jqtzo/gjf3lockj70 Ur+dcVfqvu5NVu5/qrf3lockj70Ur+dcL8J9W8ADLYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAANDff3H1j/CuOS+ShjxqVT67/APc60vv7j6x/hXHJfJQ+ +pVN/wCG/wD3LGL9eDVr7dXHu/mIn+5dHIsTOlcFP7CfvKY1Y31q4/zET/cs3kb3Vbstp3Bp 0xV5aDN7KJzbnYXiWp+XSbdyYB8pWYgzEJHwIrYrccWqfVOG9MGXQARUXgAAAAAAAAAAAAAA AAMpnHSABjKb9/AbSYzkDIGU4GEcmcZAyBlMZzuMbSdYGQMp1mNpOsDIMZTrCuanSBkDKdZj aTOM7wMgZTrMZTrAyDGU6xlOvgBkGMp1jKdYGQY2kxnJnKYzncABjaTrM5TrAAxtJ1jKdfAD ICbwBhXIm7pwclcqLV7vPqHS6LEkWK6mTDZhH43u9R1m7Kpw6TkrldWFGqepdBqUKArknppk FyohYz+nTGnlwPue0ZCuOhJCSbhI9Gp0EgNJZVKWjWvTaYjdlJeCjMIbsjUAAAAAAAAAAAAA AAAAAAAAAAAAAAAAFfa+Uaq1qxnQKNASPNwozYrGKuEXB8NEZ+7Z22llLvo0vIOhN2WNY7O1 7Tf6m3VDtO14tSdCWJEcvNQWp+OvAqug0nWy4qe2rrcFOkocfKw4DoWHNToyBYd0aYWfXoUR 0SlysvNP4R2N85F6xpfYUxZb5mGtdm6jLxExDhxuDPYQiPZ+tjILokK66Yr2ptI3m1346CQa K3tWqzOz1tXOzFapzUdGejdlHIq7sIBaIAA8Ve+0c/j+rxP9Kn84LXTNQuf60X/Up/R+vfaO e/w8T/Sp/OC1/tjdGPxov+pTUY/a/tVs+TVbn+Eb+8tDkkfeilfzrir9Vs+TVbn+Eb+8tDkk feilfzriX4T6t4AEbAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAABob7+4+sf4VxyXyUMeNSqfXf+5TrS+/uPrH+Fccl8lD76lU+u/wD3LGL9eHVj7d3EvVAi f7mu0S0Ei3hYzLgpdwzkjPo3abDhbkVcmw1ax36uPP5CJ/uXPyLvvVQfqJ+8tT8qlj6ecoa0 I6x6VVpqoSrPwXx+g+0HX/ViznJAuC1EmGM3Pf5zlOzURHMw5EVMdJ45mlU6aa5kzISsVq/j QkUy6OdbY5Wdsxmt8IJSPIOXiiQnbizba1t09uJGpIVlEVeh/mnoufRyw7gRzJ+jw02uPNoj Ssri5J1mxNt1AjTUk9f79dwHQEjWKXOQUiS1QlYiLwxFb/ye2G9r25a9rvqrk42muTXqVb0d 0zbt25houUY+I5ynkdWuUhZr+bgwX1GDD47EBXKqBHW9y3VTqHNQJWaevOxlRGtRM8VPfArM hFqLqeyNmYY1HOZ1IpzJotd1zah6gpPXdIRJZtPl3I+G9mz5zd5ig652pR9Za7Eq7ntWIxsN j1fhqYA6sBX1E1l08qbW7FySEJ7uDXRUySeSuq3p3fKVqTjZ4bL8hW6B84EaFGZmHEa/1op+ 1VU6MgZBhFzndgyB8Z2OktKRY7uENiu7EOXqnytZOVrE3IQaUsZ0vFdDXYYqruXHQdM1xUWj TmFz8i79ynFvI8o9MrGslzw6jJwphrXxlRHtRU+cETNvK4hKu+gxsfmXGPK4hZx3gjY/MuOh UsK1N38TSu/+6QeAVqYz3mlfhIFc+eVxB2vtDGx+acfnyuIeVxQI3wXHQyWDaiqqd5pXd/dI EsK1MfaaUT/4kA558riH9ARvhOMu5W8LooEZf/hcX460bHbNJKukJBI67kZsJn9x6PAK1Poa V+EgHPXlcQ/oCN8Jw8riH9ARvhOOhlsK1Nyd5pX4SHkbadjunu4Up8j3QqZSHzbc4AoVOVxC zvoMb4TgnK3g530GNj8y46E8ArU+h5Vf/iQJYVqb/wCJpVMf3SAc9eVxD+gI3wnBOVxDz9oI 3wXF+vtGx2TXcr5CQbG/EVjc/uPSlg2ouf4mld390gHPTuVxCzuoMZf/AIXGPK4h/QEb4Tjo XwCtTH2mlfhIfKds2y5OFzs3TpGCzhtOhoifuA5/8riH9ARvhOHlcQ/oCN8Jx0K2xLSdDa5l IlHNcmUVISbz9eANqfQ8p8JP+AOePK4h/QEb4Th5XEP6AjfCcdCpYdqY+00r8JDzwrQsiLMx JaFT5F8aFuexIaZb7QKDXlbweCUGNj8y4LyuIXBKDGx+ZcdCJYVqZx3mlfhIZSwrU3p3mlfh IBzz5XEP6AjfBcZXlcQsZ7wxs/mnF9T9o2NJK1s3T5GFtqiN2obUyp6ksO01TKUaVxjP2JAO evK4h/QEb4TgnK4hZ30GNjp+ScdDJYNqY+00r8JD4zVh2m2TjP7zSvzV/mkArzQ7XyU1GuJ1 HhyjYEREVeC53FwXClQdR5hKa1FmtlebTON5x3yWYMGX5SNxQIDEZCZMxUY1E4IdqYTCoBUD YGqqIuZWGq53fKkK1Mmb7lKlQYdVp8GI+LNo2XVX52XnSbmIqJlV3esp7X1V8KLPTK475NCV urShagtrkLvxAY2Tx5zkiZLJTgMb1AUAAAAAAAAAAAAAAAAAAAAAAAAAAAAARXVG1Uu61otN SK6FFYvOwlT8dOBVdAr+sdtU1tGi2pBn0gKqNmHxd706C3NQbolrTtuNVZhrn482G1vFXdCF LwNQNVIVKS7Z2Uhd42qrny3M/K7KAbt976xxIL2Q7Jlkc9qtavO8F6zd6JWXXKXPz903Q9yV mpN2YsNVzsIi7t5CqRe2qt/QItUs5JWnU+BnahzULz3KnUT3RW/p+5VmqJXoCwa3IJmYTZ2U VM7sIEWYm5AAFeGu5Whz6Kn9Hif6VP5w2t9sbn+tF/1Kf0fr26hz/wDh4n+lT+cFr76hdH1o v+pTUY/a/tV9/Jrt3P8AVW/vLQ5JH3opX864q/VZF8mq3E/9o395aHJI+9FK/nXEvwn1bwAI 2AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADQ339x9Y/wrjk vkoZ8alU6ucf/udaX39x9Y/wrjkrkoffVqn13/7ljF+vDq0id+rj/MRP9y5+Rd96qD9RP3lM as7q1cf5iJ/uXPyLvvVQfqJ+8tT8r5Z81DJhnzUMmXQCIiLkADCIiZxuPjOx2yslFjv85GNV V3H3MOa1zVa5EVF4ooFEW3HSkUK5bhmZZWRY82+DB83eqOP3Z+iNl12z4UzW6JLuqMd7nPju b5y5XcXLVKNT6hJ9yR5dnNbaP2WtRN6HsloMOXgthQmo1jUwiIEc213kj2nOxHPp9VjSETO7 m28CMzPJjvCkIveK86i7Hzd+DrzCBUz0qBxXN6Z8o2juV1KuCfmWN4IsXGT9y9V5SdCbtT9O iTKJ+NGzk7RRMdKnziQob9zobHJ/aTIVx0zXjV+i7p6zkj7PHLlU+8ryubigeZVLLWE5OKo1 x1s+mU+Iq85IyrvbCRTyzNtW/MMVsajSDkXrl2/8BHNsHlZUiZp8eFO0iJAc+G5uObd0oQ/k ITTZ/VW4Z9m5kdIkRqepVydPXDp1ZselzbolFlU2YTly2EidCnM3IbhQ5fWC5peC3Zhw1ita nUiOCu00XKZQGNpvWgynWBk/LlxjdneZymcZCqirhFQCn6pEjeOmA1Hrsc6mULhRMZ35Kynr eqUTVKHVmt/gqREVVwWW3CZXKLlQj9FRSjonj5gN212O537i3HYyiqpXktbFRZqvCr6ub3Ik FzVTG/KgWIiInAw7hwzvDdlu7IXC7shVPXJEiN1nhNSK5GqrPN6C4kTeu8rWtW1UZjU1lYh4 7lbs53dRZKLxVVTARkrblBuiMsh7ob1YvOs3p9YshHIvBUITrDRJ2vWs6TkFRYivau9M8FCp RbuVoUg5VzmWh/6UPeeOjQ1l6PKQYiptQ4LGu9qIevaTrAyVLYsWIusNzMWIqtSK3CdRbKuR OlCubSoE/J6l16qxm4lpmIiw1wBY5hUymM4GUxxCr0IqZAqXXyJEZFpWy9W/wqHw9pa8r/Jo X1E/cQLVe2ahcESRWRcxOZjse/KdCKT2Xw2CxiqmUaiBH0PNUUxJR1z+Ap6MpwyfCoKiyMbC /gKFca8mL/7mbk/xUU7STPScW8mJf/qZuT/FRTtJM9IApzXzHhRZ+fpJpcSplMFO6+Z8KLPT /wDkmliVcYAIoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAhOstsTFz2c+Tk1VI8CIkeG1PwnN3oh qdIKhV67bUah3ZRmysSA3YexVyj0yWYfNkOHDc56MYzPFUTeoEYrLpOyrYmZmjU9nm52YLU3 Od0EF0FpNdnbkrN+V2R7hj1RqQ0gZ4I1dyltwY0lPw4jWRIEy1jsORMORF6lPvBY2HDRjGNY 1OCNTCAftOG8AAeGu7qHPqq/0eJ/pU/nBbGe+Fz4/Gi/6lP6QV5M0OfT/wBvE/0qfzgtb7Y3 P9aL/qU1GP2v7VfPk1W719yt/eWhySPvQyv513+xV+q+fJqt3r7lb+8tDkkfeilfzriX4T6t 4AEbAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABob7+4+sf4 VxyXyUPvqVTd/OP/ANzrS+/uPrH+Fccl8lBP+6lUX+8f/uWMX68GrWe/Vx/mIn+5c3IuVE0r gp0qxP3lM6tL/HVx7v5iJ/uXPyLVRNLYCKn4CfvLU/K+W/NQyG8NwMugAAAAAAAAAAAAAAAD w1xV7zTmU/mXfuU4A0M1KktNNVLinajLRHwosaK1FVi8do/oXFhtiQ3Q3plrkwqEImNKrLjT L5iLR5dz4jsuVYaLlVAp7ys7a/qDvccPK0tv+ou9xxbvimsfKp3llt/90hlNJrHTLe8st8JA iovK0tvOe4XZ+o4x5Wlt/wBRd7ji3W6TWO5PtLLbv7pAmktju395Zbdu+xJ/wBUfla23jHcL vccY8rS28Y7hd7ji3fFNY/DvLLbv7pDPimsfh3lluv7En/AFRLytbbXjIu9xw8rW28Y7hd7j i3G6TWOqriiy3wkMrpPY+z9pZbd/dJ/wBUPlaW3nPcLs/UcZ8rS2857hd7ji3PFNY6qi95Zb f/dIZbpNY+/+JZb4Sf8AAFReVrbeMdwu9xxjytLaxjuF3uOLdTSax3bu8stu/ukMppLY67u8 stu/uk/4AqFOVpbScJB3uOMpytLbThIuT/I4txdJrH2sd5Zb4Sf8GU0lsdXKveWW3f3Sf8AV D5Wlt4x3C73HDytLa/qDvccW6mk1jI3PeWW4/kkHimsf53eWW+En/AFRLytLaXjIOX/I4z5W tt4x3C7H1HFuppLY6ZXvLLfCT/gw3Saxtlf4llvhIBUXlaW3w7hd7jh5Wlt5z3C7P1HFurpL Y6NT+JZb4SDxT2PtKneWW3/3Sf8AAFR+Vrbf9Rf7jjCcrS2k4SDvccW6mktjq1U7yy3wk/4H insdERe8st8JAKj8rS2/6i73HH5icrK2XQIje4Hb2qmNh28t5NJrHz9pZbf/AHSGW6T2Ps57 yy3wkA5b5INSbWdfKxV4cF8OHORYkRiK1UTCnb6uRGquU3dZGbXse3Lfm1m6VT4UvF4ZaxEN rccjHqFIjykvE5qJEaqI5FxgK93PQ8fZIefrIVBr2qLctnvR7Fb3ybvRyH1TTS4k/wDMxPiq V1q3akWkVe34VTrLnxY84jISc9813WVK6gbEY52EexerCn7K3suyavS61CqEeqOmIGM7KxFV FLIIoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHwn1VJOKqcdlT7nwqH8ijfUUCreTlHjR4Nz89E V+zVHImehN5bJUXJsxzN0/8A9q//AHLdLUnwABFeG4PtFP8A+Hf/AKVP5w2umajc/wBaL/qU /o/XvtHP/wCHif6VP5wWv9sLo+tF/wBSmox+1/6rbuTXbmf6q395Z/JITGkUrn8q4q/Vb/7a rc/wrf3ln8kjdpFLZXdzrhfhPq3wY2k6wi+dxTBltkGNpOsw13WqAfoGFdu3LvCKmN6gZB+V dvTCpgztJ1gZBhF3rvTA2k6wMg/LXbt6pkyq7typkDIMZTrMbW/imAP0DG0nWYReOVTAH6Bj KY3LvCLu3rvAyDG0nWYRd65VMdAH6BjaTrMZ37lTHSB+gY2k6wq7ty7wMgwipjeu8bSdYGQY ReOVT1DaTrAyD8538UwZ2k6wMgwq7typkbSdYGQY2k6zDV/GVAP0DG0nWNpOsDIMbSdZhXbt yoB+gY2k6zGfO4pgD9AxtJ1mEdxyqAfoGFcmNy7wipjeu8DIPyrupUM7SdYGivv7j6x/hXHJ fJQT/urVF/vHnWl9oq2fWFRcp3K79xyXyUPvqVT84/8A3LGL9eHVrfWrj6PkIn+5c3Iu+9VB +on7yl9Wvt1cf5iJ/uXTyLfvVQfqJ+8tT8r4Z81DJhvzUMmXQAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAfh7U2Vx17zh3ll3ZEg6vSMrAc9WSERkZMIuMncpQPK JtOgTV4WxNR5Rjo81PthxVVqec3qLGf0tPSiprWdP6LUlVVdGl0c7PHJKzyUinStLkIUjJw0 hwITdljUTciHrI0AAAAAAAAAAAAAAAAAAAAAAAAAAAAABFdULrZZ9ozdajSndEODDVzmZJUR PVukd+9PazTthHrHgKjUxkJVE8kjVSTrt01ahQJDYfPzD5pHovzU6jqFFXKpjccmciCx306s VqrxoOy+UmXy7VVOg6zYio3C8S0/LIAIrxV9M0KfT/28T/Sp/OC1srUrnROKui495T+j1fX+ Ip/H9Xif6VP5sW5PQodw3BTucYyYm4kSHCc5cIiq5eJqMftfWp1QSo6EWzbNJYs3WI0omxBZ x3KQS1Wa9W5SWU2lys5LyyecjETgptNMqpdVkSjWc/QqhMJ9jfMREcsNOpF6CeLrJf8A+LbX voEQRK5yi14JO9hhtc5Re/dO9hPE1jv7f5lte+g8cd/Z+ZbXvoBBO/nKLxwnewd/OUX1TvYT tNY7+35ZbXvoY8cd/wD4lte+gEF798ozqnewd/OUXnhO9hO/HJf2NzLaz9dAmsd/Z+ZbXvoB BErnKL6p3sHfzlF54TvYTvxx390Mtr30M+OO/fxLb99AIElc5Rm/dO9hnv5yi8cJ3sJ2msd/ ZXzLa99Amsd/b/Mtr30AgnfzlF8MTvYY798ozqnewnnjjv8A/Etr30C6x39jc22vfQCCd/OU Xld072Dv5yi+OJ3sJ2msd/Z+ZbWProPHHf34ltY+ugEE7+coveuJ3sMJXOUZhd072E8TWO/s b2W176BNZL+3+ZbXvoBBO/nKL6p3sHfzlFrvxO9hO01jv7G9lte+g8cd/fiW1j66AQPv5yi8 8J3sM9/OUXjGJ3PsJ2usd/dDLa99Ausd/dDLaz9dAIH385RfVO9hlK5yi0zunewnfjjv7G5l te+g8cd+/iW176AQPv3yi+qd7Alc5RfVO9hPE1jv7pZbXvoE1jv7K+ZbWProBBO/nKL44nce wwlb5RfVO9hPPHHf2fmW1j66BNY7+z8y2sfXQCCd/OUXwxO59hjv5yi+OJ3HsJ4usd/dDLa9 9B447+x8y2vfQCCJXOUWnRO9hjv5yi+GJ3PsJ4msd/Y3str30Cax39jey2s/XQCCJXOUWnRO 7vUO/nKL6p3sJ2msd/Y3str30Hjjv7PzLax9dAIGlc5RfDE7n2Ge/nKLXonewnfjjv7PzLa9 9Ausd/dDLa99AIH385RfHE7j2Ge/nKLTik72E78cd/fiW176Dxx37+JbXvoBA0rfKM44ncew z385ReeE72E78cl/7PzLaz9dB447+x8y2s/XQCCd/OUX1TvYErnKMTfid7CdprHf2fmW176D xx39+JbWProBBErnKLxwnewd/OUWnRO9hO01jv7G9lte+g8cd/8A4lte+gEDWt8otE4TvYZ7 +covqnewna6x39j5lte+g8cl/wCPmW176AQTv5yi88J3sHfzlF8cTuPYTvxx39+JbXvoE1jv 7fllte+gFfzVV5Q0zKx5aM2dWFHZsPTHFD08nSDV7F1CV16ycSQSd2nQ4sRNy7ib+OO/s/Mt rH10NJeN+XbdVJiU+oMtxiuTDIzHJts9i9AEf1Z31a4IjcK2JLPc1U6UXJdHIt3aVwVT8RP3 nLlan5q36PUJK4J+DNzMeC5sN8KJt7l4Jk6h5Fy/9rYKJj5iZ7RT8r6bvahkw35qGTLoAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAfKbjwpaViR4z0bDhty5c8EA+ uUzjpIretny1x1ClzkeMjFp8wkZqY4qhWc9qnedcrs5KWRTIMaVk4iw4kSYZ85fUp+m3ZrUu U700zPR5oRebXI7gpkqHTXVCqzlz+C94SSSdUiKvMqxmyxyJx3lvBQAAAAAAAAAAAAAAAAAA AAAAAAAAAAB4a5LTc3TYsCRme5o7mqjImM4UquLYWqMRsRjr/arHqu7muguIBMUVbmk2oFvw pqHS74ZBbNRedi4hcXdZtPAXVT/9wU+EXCC6Yp7wF1Uwv/cBPhE7sGk3FSqcsC4K0lUjdETZ wSYEMfCbl0mJKPLuX7LDcxV9qYOUq1yPnztamqhL3QyAkaI56N5td2VydaAGOQ/I9qPpr+w4 N5HtRTjeuf8AI468BdpzHInke1H00/YcPI9qPpp+w467A2nMch+R7UfTT9hxlOR7UfTT9hx1 2BpzHIacj2o+mv7DgnI9qPpr+w468A2nMcieR7UfTT9hxjyPajn7tf2HHXgG05jkTyPaj6af sOMeR7Uc/dr+w468A05jkTyPajn7tP2HDyPaj6afsOOuwNpzHIfke1H01/YcE5HtR9Nc/wCR x14BtOY5E8j2o+mn7Dh5HtR9NP2HHXYG05jkPyPaj6afsOM+R7UfTT9hx12BpzHInke1H00/ YcY8j2o+mv7DjrwDacxyGnI9qPprn/I4z5HtR9NP2HHXYG05jkTyPaj6afsOHke1H00/Ycdd gbTmOQ/I9qPpr+w4z5HtR9NP2HHXYG05jkTyPaj6afsOHke1H00/YcddgbTmORPI9qPpp+w4 wnI9qXprn/I468A2nMcieR7UfTT9hw8j2o+mn7DjrsDacxyJ5HtR9NP2HGPI9qPpp+w468A2 nMchpyPaj6a/sOM+R7UfTT9hx12BtOY5E8j2o+mn7DjCcj2opxvX9hx14BpzHIacj2o+mv7D jPke1H00/YcddgbTmOQ15HtS9Nf2HDyPaj6a/sOOvANpzHInke1H00/YcPI9qPpp+w467A2n Mch+R7UfTT9hxleR7UfTX9hx12BpzHIfke1H01/YcPI9qPpr+w468A2nMcgRuRtNR27Ma8Gv 9sNTonR2woFgWlAokOOkw5jUa+IiY2ibAaZBAARQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAADX3FTkqtEnKft7HdENWbXUbA+U5MQ5WViTETOxDbl2OIHOloXTXtMq hUqHUrXjzMu+NmBMpuRzUJKmt8bP3KR8e0sOQrtrXK6K1HykeNAXCw4qptp+gqy7LvrU/eke 2NPrapk1Fl2I6LEmYeG49ShHnoL69qRqxS7kjUKNSZClNdD2nfzmek6Camy1E6imdNdQq7LX fDs286VK06fj5WX7mbhjkTjvLnCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAH4jQWRYb4b0y16YVD9gCo7v0Zk 41Ri1i05xaTVYiKroiuVzVVfUVtZL9RNLrpnYtZoszcMvHTZSPBbs438TqXCcek/EWDDiw9i K1IjepyBMUDbkG5tRNV6fdNSokejU+mI5jGRU3xUXpRToBqI1qInBD8wmMhNSHDYjWpwRE3H 7CgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAYV2FxxNTd6VVaFHWjMR86iZhtVcIpUlE1xg0R0em6iwWUuqQ MrsQfORW9AE3q1UuuFqVTZCVlYjqLEY5ZiKjdzV6N5OynLFvG8b4vKFPyElChWrDVUSOj8Oe nQuC404AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAGnu6LVINBjvpO+c4Q92cFN0vQ6JdseZrGpUZs9Px0VG cx5mynRkt6+bhh21bczVY6JiHuanWq8DnepXlqvHhSVVSUSXgVGaWDBY2JuxncoRP9PbWvWw 7vgUeHNQpq14mebYxnnQkTgir1lznPdlV7Ual6pUyh3a3mpKdY5zHc5nKIdCJwCgAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAACL6m27Eue0ZmlMejXuVHtVetOBXVVtK6o+mNP5xWOqVJmHRmMa357U4IiFoX zcUC2bbmatHwrYSYanW5eCFH0ab1dvGG+tSyRKfLPeqQobH7lROCgfezpe8b71DpFarlOmKd LUliw4iRWK1Yir0odCtRGtRqcETBUen1H1IlrlgRq9OxokiiLttcqYLdAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAIpqnI0uesmeg1WIjJdE285x5ycChdLNUbvlaJEkZa35yPKwIzmwojYKqioi7t5d2tk i2f09noKuVEaqPXCccdBVOketls0u1W02elnScWBEc1WJDXfheIRNLA1AuitXHBkahQ5qVgP ztRHwsIn6S2SurO1btm5a5DpUhEcseJ83MNULFCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD8RoMKNDWHFh texeLXJlFNZ4MW7lV7yU/K8f4O3/AINsANdKUKjSkdI8rS5OBFTg+HBa1U/SiGxAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD/9k=