2 TRILUX LIS - Leuchten-Informationssystem 07 #8&6yDMeRj%7q2VV 8176440 TRILUX ArimoFit G2 M84 PW16 30-830 ET 4 ArimoFit ArimoFit ArimoFit ArimoFit ArimoFit ArimoFit ArimoFit 510 mit elektronischem Transformator with electronic transformer z transformatorem elektronicznym avec transformateur électronique con trasformatore elettronico Met elektronische transformator con transformador electrónico 22.00 1.0 ArimoFit G2 M84 PW16 30-830 ET (TOC 8176440): Quadratische LED-Einbauleuchte mit mikroprismatischer Abdeckung PW. Ausführung M84 (625 mm x 625 mm). 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 575 lm. Erzeugung einer tieferen Raumwirkung. 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. Der als Zubehör optional verfügbare Sky-Rahmen bewirkt einen raumatmosphärischen Tiefeneffekt in der klassischen, flachen Moduldecke, die 3-dimensionale Kontur eines Oberlichts wird nachgebildet. Das optische System besteht aus einer hocheffizienten PMMA-Abdeckung mit Mikroprismatik. PW (prismatic wide). Die mikrostrukturierte PMMA-Prismen-Oberfläche des optischen Systems wirkt entblendend, ist vergilbungsfrei und trübt nicht ein. Mit tief-breit strahlender Lichtstärkeverteilung. Blendungsbewertung nach UGR-Einstufung (EN 12464-1) < 19. Bildschirmgerecht gemäß EN 12464-1 durch begrenzte Leuchtdichten L < 3000 cd/m² für Ausstrahlungswinkel oberhalb 65° rundum. Harmonische Lichtwirkung durch gleichmäßig ausgeleuchteten Lichtaustritt. Individuelle Gestaltung der Lichtaustrittsfläche (z.B. durch Druck) und weitere Sonderlösungen auf Anfrage möglich. Bemessungslichtstrom 2900 lm, Bemessungsleistung 22,00 W, Leuchten-Lichtausbeute 132 lm/W. Lichtfarbe warmweiß, ähnlichste Farbtemperatur (CCT) 3000 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): 620 mm, 620 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): II, Schutzart (DIN EN 60529): IP20, Schutzart raumseitig: IP40, Stoßfestigkeitsgrad nach IEC 62262: IK03, Prüftemperatur Glühdrahttest gemäß IEC 60695-2-11: 650 °C. Gewicht: 3,5 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 Betriebsgerät, schaltbar. 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-Merkmale erweitert werden. ArimoFit G2 M84 PW16 30-830 ET (TOC 8176440): Square recessed LED luminaire with microprismatic cover PW. Version M84 (625 mm x 625 mm). 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 575 lm. Generation of an enhanced depth effect in the room. 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 Sky frame, optionally available as an accessory, creates a room-atmospheric depth effect in the classic, flat modular ceiling; the 3-dimensional contour of a skylight is reproduced. The optical system consists of a highly efficient PMMA cover with microprisms. PW (prismatic wide). The microstructured PMMA prism surface of the optical system has a glare-reducing effect, is non-yellowing and does not cloud. With narrow-wide light distribution. Glare evaluation according to UGR rating (EN 12464-1) < 19. Suitable for VDU workstations according to EN 12464-1 via limited luminance L < 3000 cd/² for beam angle above 65° all-round. 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. Luminaire luminous flux 2900 lm, connected load 22,00 W, luminous efficiency of luminaire 131 lm/W. Light colour warm white, correlated colour temperature (CCT) 3000 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): 620 mm, 620 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): II, 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: 3,5 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 operating device, switchable. 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 M84 PW16 30-830 ET (TOC 8176440): Kwadratowa diodowa oprawa do wbudowania z kloszem mikropryzmatycznym PW. Wersja M84 (625 mm x 625 mm). 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 575 lm. Tworzenie efektu wiekszej glebi w pomieszczeniu. 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. Dostepna opcjonalnie ramka Sky tworzy przestrzenny efekt glebi w klasycznym, plaskim suficie modulowym, imitujac trójwymiarowy kontur swietlika. Uklad optyczny obejmuje wysokowydajny mikropryzmatyczny klosz z PMMA. PW (prismatic wide). Mikrostrukturowana pryzmatyczna powierzchnia ukladu optycznego z PMMA redukuje olsnienia, nie zólknie i nie metnieje. Ze skupiono-szerokim rozsylem swiatla. Wskaznik olsnienia zgodnie z klasyfikacja UGR (EN 12464-1) < 19. Przystosowany do monitorów wg EN 12464-1 dzieki zmniejszonej luminancji L < 3000 cd/² dla kata emisji powyzej 65° w kazdym kierunku. 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. Strumien swietlny oprawy 2900 lm, pobór mocy 22,00 W, skutecznosc swietlna oprawy 131 lm/W. Barwa swiatla biala ciepla, temperatura barwowa 3000 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.): 620 mm, 620 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): II, 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: 3,5 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 urzadzeniem zasilajacym, z mozliwoscia wlaczania. 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, charakterystyki rozsylu swiatla i stopnie ochrony. Na zamówienie asortyment podstawowy mozna rozszerzyc o cechy opraw oswietleniowych specjalnie dostosowane do danego projektu. ArimoFit G2 M84 PW16 30-830 ET (TOC 8176440): Luminaire encastré LED carré, à recouvrement microprismatique PW. Version M84 (625 mm x 625 mm). 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 575 lm. Création d’un effet d’espace profond. 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 cadre Sky, disponible en option, donne de l’atmosphère à la pièce et crée un effet de profondeur dans l'atmosphère de la pièce dans le plafond modulaire plat classique, le contour tridimensionnel d'un lanterneau est reproduit.. Le système optique se compose d’une vasque en PMMA très efficace à microprismatique. PW (prismatic wide). La surface prismatique en PMMA, microstructurée du système optique a un effet anti-éblouissement, elle est anti-jaunissement et anti-opacité. Pour une répartition intensive des intensités lumineuses. Taux d'éblouissement selon classification UGR (EN 12464-1) < 19. Compatible avec les écrans informatiques selon la norme EN 12464-1 grâce à des luminosités réduites L < 3 000 cd/² pour des angles d’éclairage supérieurs à 65 °, de manière omnidirectionnelle. 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. Flux lumineux du luminaire 2900 lm, puissance raccordée 22,00 W, rendement lumineux du luminaire 131 lm/W. Teinte de lumière blanc chaud, température de couleur (CCT) 3000 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) : 620 mm, 620 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) : II, 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: 3,5 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. Avec driver externe. 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 partie d’une gamme de luminaires encastrés, de plafonniers et de luminaires suspendus, dont l’aspect est harmonisé. La diversité des applications de cette série de produits est de plus renforcée par diverses versions de flux lumineux, de courbes photométriques et d’indices de protection. Sur demande, la g ArimoFit G2 M84 PW16 30-830 ET (TOC 8176440): Apparecchio quadrato a LED da incasso con copertura microprismatica PW. Versione M84 (625 x 625 mm). 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 575 lm. Realizzazione di un effetto spaziale di maggiore profondità. 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. Lo sky frame disponibile come accessorio opzionale produce un effetto di profondità sul classico soffitto modulare piano che crea una particolare atmosfera all'interno del locale riproducendo il contorno tridimensionale di un lucernario. Il sistema ottico è costituito da una copertura ad alta efficienza in PMMA con struttura microprismatica. PW (prismatic wide). La superficie in PMMA a struttura microprismatica del sistema ottico ha un effetto anabbagliante, è resistente all'ingiallimento e non si offusca. Con distribuzione della luce a fascio largo concentrante. Valutazione abbagliamento secondo classificazione UGR < 19 (EN 12464-1) Per ambienti con uso di videoterminali a norma EN 12464-1 grazie a luminanze limitate L < 3000 cd/² per angolo di emissione superiore a 65° su tutti i piani. 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. Flusso luminoso apparecchio 2900 lm, potenza assorbita 22,00 W, luminosità dell'apparecchio 131 lm/W. Colore della luce bianco caldo, temperatura del colore (CCT) 3000 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): 620 mm, 620 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): II, 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: 3,5 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 esterno, con interruttore. 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 i requisiti di base delle direttive Ue applicabili e della legge (tedesca) sulla sicurezza dei prodotti e reca il marchio CE. L'apparecchio fa parte di una gamma di soluzioni da incasso, a plafone e a sospensione di aspetto armonizzato. La versa ArimoFit G2 M84 PW16 30-830 ET (TOC 8176440): Vierkante LED-inbouwarmatuur met microprismatische afscherming PW. Uitvoering M84 (625 mm x 625 mm). Optioneel kan de armatuur uitgerust worden met een noodverlichtingssysteem voor plafondinbouw met 3 uur autonomie. In noodverlichtingsmodus bedraagt de armatuurlichtstroom 575 lm. Een dieper ruimte-effect. Voor systeemplafonds met zichtbare draagprofielen. .. In combinatie met afzonderlijk te bestellen accessoires geschikt voor gezaagde plafondopeningen en voor vlakke plafondmontage. Het Sky frame, optioneel verkrijgbaar als toebehoren, creëert in het klassieke, vlakke modulaire plafond een ruimtelijke dieptewerking, de 3-dimensionale contour van een bovenlicht wordt nagebootst. Het optische systeem bestaat uit een hoogefficiënte afscherming van PMMA met microprisma's. PW (prismatic wide). Het oppervlak met microprisma's van het optische systeem van PMMA beperkt verblinding, vergeelt niet en wordt niet troebel. Met diep-brede lichtverdeling. Verblindingswaarde (EN 12464-1) UGR < 19. Geschikt voor beeldschermwerk conform EN 12464-1 door beperkte luminantie L < 3000 cd/m² voor uitstralingshoek boven 65° rondom. Harmonieus lichteffect door gelijkmatig verlichte lichtuitstraling. Individuele vormgeving van het lichtuitstralingsvlak (bijvoorbeeld door bedrukking) en andere oplossingen op maat zijn op aanvraag mogelijk. Armatuurlichtstroom 2900 lm, aansluitvermogen 22,00 W, lichtrendement van de armatuur 131 lm/W. Lichtkleur warm wit, kleurtemperatuur (CCT) 3000 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): 620 mm, 620 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): II, 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: 3,5 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 externe hulpapparaat, schakelbaar. 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, lichtverdelingscurven en beschermklassen vergroten de ruime gebruiksmogelijkheden van de productserie. Op aanvraag kan het basisassortiment uitgebreid worden met projectspecifieke armatuurkenmerken. ArimoFit G2 M84 PW16 30-830 ET (TOC 8176440): Luminaria LED empotrable de forma cuadrada con recubrimiento microprismático PW. Versión M84 (625 mm x 625 mm). 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 575 lm. Creación de un mayor efecto de profundidad. 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 marco Sky disponible como accesorio opcional proporciona un efecto atmosférico de profundidad en el techo modular plano clásico; se recrea el contorno tridimensional de un tragaluz. El sistema óptico está compuesto por un recubrimiento altamente eficiente de PMMA con microprismática. PW (prismatic wide). La superficie con prismas microestructurados de PMMA del sistema óptico reduce el deslumbramiento y no amarillea ni se pone opaca. Con una distribución extensiva e intensiva de las intensidades luminosas. Índice de deslumbramiento unificado según la clasificación UGR (EN 12464-1) < 19. Apto para el trabajo ante pantallas informáticas según EN 12464-1 merced a la limitación de la luminancia a L < 3000 cd/² para un ángulo de irradiación superior a 65° de manera omnidireccional. 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. Flujo luminoso de las luminarias 2900 lm, potencia conectada 22,00 W, rendimiento luminoso de la luminaria 131 lm/W. Color de luz color blanco cálido, temperatura del color (CCT) 3000 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): 620 mm, 620 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): II, 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: 3,5 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 eléctrico externo, conmutable. 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 directrices europeas aplicables y de la ley para la seguridad de aparatos y productos y lleva el marcado CE. La luminaria forma parte de un surtido de luminarias empotrables, adosables y suspendidas de apariencia similar. La variedad de aplicaciones de la serie de productos se 1 22.00 2900.00 3000K 80 620 620 20 550 550 0 0 0 0 EULUM TX376366.LDT ![CDATA[TRILUX 2 4 144 2.5 73 2.5 R219274B ArimoFit G2 M84 PW16 30-830 ET TX376366 06.11.2019-K?stens 620 620 20 550 550 0 0 0 0 99.99292 99.9729385375977 1 0 1 1 1 x LED ET 2900 3000K 80 22 .395111599761257 .495689654705831 .568005738119809 .654851039055022 .706743073578254 .766465904804966 .814812984638458 .854248490012678 .879301301653021 .904823768331343 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 97.5 100 102.5 105 107.5 110 112.5 115 117.5 120 122.5 125 127.5 130 132.5 135 137.5 140 142.5 145 147.5 150 152.5 155 157.5 160 162.5 165 167.5 170 172.5 175 177.5 180 497.53 498.38 499.53 499.45 499.46 497.98 497.4 492.25 485.52 478.1 461.76 444.05 423.19 395.96 368.77 341.68 313.13 279.48 238.03 195.29 155.66 121.96 96.43 79.25 68.69 60.81 53.48 48.31 42.4 36.05 32.68 29.66 25.3 18.64 11.83 5.82 1.45 .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 0 497.53 498.38 499.54 499.4 499.5 497.74 497.25 493.09 486.32 476.45 463.23 445.09 422.43 396.78 369.27 342.35 313.83 278.86 237.68 195.15 157.24 122.83 97.61 80.27 69.07 60.33 53.6 48.04 41.82 36.09 32.54 29.23 25.07 18.76 12.07 5.9 1.45 .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 0 497.53 498.37 499.53 499.28 499.52 498.22 496.13 492.5 486.79 475.28 462.32 443.96 422.4 396.49 369.48 341.37 313.56 278.64 238.82 195.12 158.07 126.76 100.46 83.02 69.81 60.18 53.31 47.01 41.16 36.16 32.29 28.66 24.37 19.1 12.58 6.22 1.54 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 497.53 498.36 499.5 498.85 499.35 498.35 496.06 492.32 486.26 475.85 463.6 444.74 422.79 396.59 368.75 341.03 312.1 277.36 236.92 195.48 160.44 130.9 106.11 86.45 71.9 61.01 52.73 45.89 40.73 36.15 31.75 27.86 23.99 19.32 13.01 6.47 1.49 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 0 497.53 498.34 499.42 499.2 498.97 498.85 495.72 492.5 486.08 475.99 463.07 445.4 422.04 395.52 368.51 340.68 311.81 275.97 236.12 195.63 161.7 134.49 111.38 91.19 75.31 62.93 52.71 45.54 40.38 36 31.15 27.5 23.93 19.35 13.17 6.48 1.49 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 0 497.53 498.31 499.29 498.96 497.87 498.23 495.28 491.97 485.98 475.88 462.29 444 422.61 395.65 367.92 338.71 310.21 275.45 234.43 195.41 164.35 138.01 115.64 95.37 78.51 64.99 54.52 46.16 40.62 35.57 30.69 27.21 23.92 19.35 13.17 6.38 1.49 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 0 497.53 498.26 499.08 498.88 497.89 497.91 494.84 491.5 485.91 475.62 462.11 443.09 421.63 395.4 367.41 338.88 309.43 274.3 232.75 194.18 164.6 139.54 117.62 98.38 81.74 67.54 56.71 48.05 41.25 35.4 30.72 27.23 23.49 18.96 12.96 6.4 1.49 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 0 497.53 498.2 498.83 498.73 497.78 497.52 495.22 491.88 485 475.43 461.31 443 420.39 394.25 366.7 336.59 308.09 272.68 231.73 191.63 162.67 139.48 117.62 99.23 83.65 69.62 58.75 50.1 42.3 35.98 31.25 27.43 23.01 18.29 12.77 6.39 1.44 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 0 497.53 498.14 498.24 498.65 498.17 497.3 495.11 491.47 483.77 474.56 461.42 442.33 419.02 393.31 364.93 336.71 307.16 271.1 231.05 191.65 160.49 137.24 116.48 98.3 82.84 69.5 59.86 51.78 44.08 37.54 32.37 27.79 22.54 17.53 12.28 6.23 1.36 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 0 497.53 497.7 498.39 497.56 498.38 496.88 494.34 490.39 482.92 473.97 460.06 441.64 418.58 391.46 363.6 335.32 306.58 270.45 229.62 190.39 159.29 135.32 113.81 95.37 80.19 68.06 59.27 52.2 45.77 39.61 33.92 28.1 22.42 17.07 11.55 5.82 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 0 497.53 497.66 498.28 497.46 498.28 496.35 493.6 489.51 482.03 473.4 458.86 440.17 417.9 390.13 362.68 335.16 303.89 270.95 229.33 189.76 158.45 133.58 111.67 92.34 76.87 65.97 58.11 52.24 46.78 41.91 35.73 28.8 22.62 16.61 10.73 5.18 1.13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 497.53 497.93 498.22 497.9 498.03 495.88 493.39 489.11 481.31 471.56 458.06 438.97 415.61 389.71 362.36 333.26 305.01 270.04 228.91 189.16 158.18 133.27 109.73 89.67 74.7 64.65 57.61 51.71 47.09 43.18 37.06 29.81 23.12 16.28 10.03 4.53 .93 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 497.53 497.59 498.17 497.81 497.44 495.84 492.45 488.4 480.22 471.4 456.86 437.92 415.3 388.47 361.06 333.05 303.68 269.74 228.95 188.44 158.1 132.89 108.97 88.72 72.84 64.02 57.26 51.28 47.13 43.72 37.79 30.29 23.33 16.29 9.77 4.2 .84 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 497.53 497.82 498.1 497.69 497.03 495 491.65 487.7 479.3 470.7 455.6 436.9 414.07 386.59 361.1 331.99 302.44 268.99 228.16 188.33 158.28 133.84 110.19 88.6 73.56 63.97 57.52 51.17 46.81 43.45 37.72 30.16 23.23 16.63 10.03 4.41 .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 0 497.53 497.79 497.71 497.55 496.75 493.87 490.91 486.83 479.12 469.31 454.57 435.67 413.83 387.13 360.24 330.87 303.16 269 228.29 189.06 158.38 134.47 112.18 90.93 75.43 65.03 57.85 51.24 46.5 42.35 36.57 29.51 23.04 16.91 10.66 4.98 1.04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 497.53 497.77 497.86 497.42 496.45 494.03 490.68 485.74 477.77 467.35 454.43 435.31 412.54 386.01 358.56 330.89 301.72 269.13 228.75 189.02 159.04 135.07 114.29 94.7 78.18 66.53 58.13 51.53 45.91 40.88 35.02 28.8 23.07 17.18 11.46 5.6 1.13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 497.53 497.77 497.77 497.27 496.21 493.57 490.41 485.07 476.87 466.02 452.98 433.33 410.71 386.65 358.51 330.81 302.19 269.29 229.15 189.67 159.38 136.39 115.97 97.05 81.23 68.06 58.45 51.16 44.8 39.49 33.56 28.35 22.89 17.51 12.2 5.93 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 0 497.53 497.78 497.5 497.08 495.98 492.99 489.34 484.08 475.74 465.14 450.71 432.25 410.92 385.6 358.54 329.72 302.34 269.32 230.58 190.86 161.32 137.41 117.49 99.32 83.16 69.04 58.36 50.38 43.53 37.89 32.95 28.24 22.79 17.83 12.66 6.12 1.13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 497.53 497.8 497.47 496.55 495.6 492.16 488.35 482.5 474.65 463.67 449.98 431.9 409.53 385.06 357.95 331.02 303.1 269.98 230.84 193.23 162.53 139.17 118.37 100.1 83.7 68.57 56.94 48.84 42.21 36.94 32.8 27.92 23.02 18.1 12.71 6.25 1.12 .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 0 497.53 497.83 497.88 496.45 494.79 491.72 487.89 481.64 472.92 463.31 448.4 430.76 408.33 383.9 357.56 330.43 302.27 271.68 232.94 193.88 163.91 139.46 117.79 98.77 82.51 67.51 55.57 47.25 41.45 37.05 32.59 27.57 23.32 18.36 12.88 6.29 1.07 .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 0 497.53 497.87 497.93 496.25 494.3 491.37 487.82 480.54 472.89 461.28 446.94 429.7 407.2 382.98 357.56 330.11 302.83 272.36 234.27 195.22 163.38 137.86 115.37 95.55 79.83 66.33 54.71 46.49 41.33 37.43 32.32 27.28 23.18 18.94 13.23 6.24 1.05 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 0 497.53 497.89 497.58 496.27 493.89 490.65 487.16 480.34 471.66 460.96 444.9 428.36 405.63 381 356.76 330.48 302.97 273.78 235.41 195.46 162.18 135.08 111.36 91.2 76.34 65.6 55.59 46.56 41.67 37.37 32.52 27.31 23.06 19.17 13.5 6.15 .99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 497.53 497.92 497.83 495.81 493.78 490.66 485.98 478.9 470.35 458.56 444.07 426.07 404.92 381.78 355.24 329.11 303.95 273.9 236.83 195.72 160.76 131.78 107.04 86.87 72.82 65.14 56.75 48.06 41.76 36.97 32.24 27.93 23.68 19.09 13.25 6.12 .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 0 497.53 497.65 497.71 495.39 493.47 489.65 484.59 477.74 469.28 457.91 442.51 425.06 403.25 380.17 354.63 329.17 303.49 274.39 236.85 195.6 160.39 129.01 103.77 84.81 71.82 64.57 57.85 49.77 42.09 36.18 32.13 28.97 24.78 18.77 12.6 5.95 .78 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 497.53 497.62 497.6 495.13 493.36 488.68 484.37 477.6 468.33 457.52 441.61 423.91 402.51 378.98 353.97 328.31 303.41 275.34 236.52 195.87 158.73 127.16 101.36 84.27 72.34 64.33 57.9 50.47 42.5 35.8 32.18 29.6 25.5 18.54 12.13 5.78 .75 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 497.53 497.93 497.56 494.76 493.33 487.45 484.08 477.33 467.71 455.7 441.05 423.09 401.84 377.8 352.94 327.59 302.5 273.86 236.7 195.76 159.27 126.3 102.02 84.94 73.42 64.54 56.78 49.89 42.81 36.57 32.53 29.35 25.26 18.49 12.22 5.8 .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 0 497.53 497.91 497.56 494.92 493.05 487.59 483.28 476.2 466.75 453.87 439.79 421.99 400.61 376.09 352.75 327.06 300.33 272.9 235.62 197.34 160.64 128.74 104.57 87.67 75.49 64.52 54.94 48.27 42.7 37.78 33.2 28.58 24.23 18.79 12.73 6 .73 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 497.53 497.53 497.57 494.82 492.49 488.12 482.6 475.32 465.83 453.4 439.61 421.26 400.73 377.21 352.14 326.21 298.64 270.33 234.89 196.56 163.55 132.78 108.56 90.78 77.23 65.03 54 46.85 42.41 38.58 33.8 27.92 23.22 19.01 13.24 6.08 .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 0 497.53 497.54 497.54 494.53 492.01 487.94 482.04 474.71 464.95 452.73 439.3 420.73 399.91 376.39 350.53 324.23 298.04 268.67 233.46 196.21 165.55 137.49 112.79 94.52 79.79 65.53 53.83 46.17 42.05 38.41 33.68 27.6 23.01 18.99 13.31 6.06 .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 0 497.53 497.79 497.45 494.59 491.87 486.87 482.09 474.23 464.9 454.06 437.5 419.82 399 374.72 349.55 323.46 296.1 267.54 231.64 194.64 165.81 139.4 116.36 97.93 82.3 67.11 54.76 46.66 42.08 37.82 32.48 27.57 23.39 18.64 13.03 6.1 .6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 497.53 497.74 496.67 494.82 491.76 487.15 482.47 473.46 464.01 452.39 438.87 421.07 397.63 374.95 347.64 322.77 295.47 265.97 230.99 193.8 165.26 140.2 118.95 100.69 83.69 69.13 56.63 48.2 42.08 37.01 31.98 27.52 23.49 18.21 12.72 6.17 .59 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 497.53 497.7 496.8 495.12 491.29 487.1 481.89 473.08 464.22 452.05 437.11 419.52 398.48 372.62 347.63 319.96 294.23 265.13 228.21 191.45 163.47 139.65 119.81 102.06 84.54 70.63 59.43 50.87 42.75 36.94 32.16 27.59 23.01 17.81 12.56 6.06 .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 0 497.53 497.67 496.53 495.49 490.69 487.55 480.85 473.3 463.79 451.95 436.62 418.5 396.46 372.17 346.27 320.65 292.86 263.46 225.88 190.4 161.1 137.59 118.6 100.28 83.63 70.88 61.66 53.16 44.38 38.04 33.17 27.83 22.45 17.35 12.31 5.86 .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 0 497.53 497.64 496.03 495.41 490.46 486.94 480.19 473.04 462.8 452.18 436.38 418.11 396.6 371.05 344.83 319.14 291.96 262.85 226.45 189.35 159.57 136.51 115.48 96.68 81.14 70.51 62.59 54.78 46.33 40.02 34.72 28.3 22.45 16.74 11.64 5.6 .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 0 497.53 497.3 496.5 495.23 490.64 486.26 480.28 472.82 463.32 451.17 437.19 419.16 396.06 370.71 344.8 318.39 290.82 262.32 225.83 188.45 159.09 134.45 111.92 93.51 79.19 69.37 62.44 55.33 47.67 42.66 36.41 28.99 22.74 16.23 10.69 5.15 .43 .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 0 497.53 497.33 496.42 495.08 490.96 486.42 480.67 472.98 463 451.28 436.47 417.22 394.19 370.7 345.82 317.86 292.08 261.32 224.98 188.6 158.55 132.97 110.5 91.03 77.54 68.69 62.16 54.76 48.31 44.66 37.88 29.76 22.95 15.9 9.86 4.53 .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 0 497.53 497.61 496.4 495.03 491.11 486.71 480.51 473.16 462.97 452.06 435.74 417.32 394.94 370.92 343.78 318.36 290.35 261.4 225.54 188.69 158.9 132.94 109.49 90.29 76.37 68.33 62.33 54.41 48.52 45.41 38.73 30.08 22.99 15.85 9.51 4.23 .35 0 0 0 0 0 0 0 0 0 0 0 0 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_M84_WEB_DB.jpg /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8S EhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEU Hh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAAR CAQABAADASIAAhEBAxEB/8QAGwABAQEAAwEBAAAAAAAAAAAAAAECAwQFBgf/xABGEAACAQMD AwIEAQgJBAIABgMAAREhMUECA1EEYXEFgRKRobHBBhMiMkJS0fAUIzM0Q2Jy4fEkU2OSFYIW JTVEVMKistL/xAAVAQEBAAAAAAAAAAAAAAAAAAAAAf/EABYRAQEBAAAAAAAAAAAAAAAAAAAR Af/aAAwDAQACEQMRAD8A/co+oSiQaVyiVRYKWKARTUulYLpXYaePcAuLFSdxCkqAlO5YLDgq mYpAExNSqi7iLlSuAURUaU7FrBQIslXkQVRP+wESnJV2ZUqOAlKAIJfoljsXvcCeCpIsUhBA NN2mwpsXzYsAZSxgqTmSxSGVZuBFDCiDWlexUsIDKSiJZYn2KlUqVAIrlWQr8FQEVi9iqiAE h2wLSaCXzAzgqRVUQAYgqVJCUugEKWHUfMCZxBUoTCUt1gWARCdWSKUNBcARJdgoVC1Vgve4 BKkjBbhWkCUvAXKKuyCWQJFwqLFS8oRS4EBqPBOZAJV45IpqahxwRAIwKew03qVV7gRVuxBU pfYL3QGYoX2EXqVAZRfcQoKl3AzEIGorYKtwMpXFYLcATAqaggGayVXfYvdIkKAIldl5iQxy BMSSppD7AZ5kJUpc1GIJHf2AzUZNJUiAuwGMuAqI1Cigj3AzASvUvNGMARMiUSa9iYzIGYcc kjBtL6EgDME+ZvwiRK58AZiZJ4NtYJAGFYW8muSYYGYzUdpNYJFwMxXkkOWadkoIBEr5Mxc3 h1JAGcESdTaV3RkcgZi5O1DUEaoBHexIyaipIAzXknLNRSmRAGVa5KQaihlQpAkZIzSzUkXk DLt3I+TcEgDH80DLAaAzhkxQ1BHEWXzAxkmaG6STAGbqZJ8zTIlkDNXahlo2TIGIcEwbc/7E aIOxBVaoi7yaVGURIsMJXZa8AFZl8KgUFSgAlewtWCrJUgIlKmSpSioRkAslsvJUn7MJMCQV WC7lAIqVQkokvKAiVSpU7lSigAkcSVlj/gsOtagSFBV5Kl4Kk8gZS7FSKrcFXkCJSVKf9xFD UYAzBUiqYkRWgBJVY0rgvwwnUql2AlYLFalVs+RHcCIeTSqMYAjVB9iqty4pQCESNRUJJATm AlS9SrP8C5AiSuxGSwoESoAkIqVypUgaVVgSg+pUrvATAiuDUSIcgSKBTVwVSLTAErYJOlCp cwXvWAM4DRYLFMgR0wPJVe4S8MDMTgsSWIs6BARBL/YsYEXAn4DSmu5pKCRgCJO4SLCY+YEi kiCxSoAgh/wKu+QBmrTSEUojSpgQBmIrI7ms8E8oCdhFSpR5LAGIywlSTSWLgDMRn3CmaqpV keAISHBpIjhJgSFMCHgsQhFAI0iRcqEUoBMkSNCPqBlwkErtFa5YYGYVYERQ1yRqsXgDIhP5 FjIxAGRk1ZkVAMw1NyRihp6RHYDEXEGkIpegGCQ6s3yhCAxmDKVTbRIAz2kkUbNfINVdAMNd xD8GsSyR9QMvlk+GTUUI7ATsSDUSRKrqBmKSiYNRxYRCAxFCZk27Nk7AZVpqR5NMkeXyBmHG AWOQ1Mt+wGK8EhcGqVEcAZi5HEPk0lBkDLQdcGognuBjBDcZIBmLsy7UfubWUzMIDsx5KprB UgrgCr7hdyqnkBkJTkGu6sBElJUVchIBHy+5VpqEgkAVaMqhIqyFVAICrShVYsV+4E+EsFSC QBeAl/LNJLuIoBEVKkGlbsIAKQrlSvQqmAIk1gqVAlguZAhYqyhZeACsxzSCpFgCQEvkVIoE CX1Ku4SQEure4iDSVIEXgCJULkJZksARLsIrBUqlSwBOYGCxQQwIk+AlX+BpBRgCdgipdpLi FUDMOgg0kRri4FJCLSRTgBaxMRYtRRzkAlyFdpwFZqGIrIBWkRRuahKZLgCYsIwVKBFOQJHA LQt2BlO5Y8CP9xyBAkUNMAueCfYqCAkU5L+zV1EXgAPxJzHJcCLgTArUqqKRyBPALbwTyAiS Luy4clQGVAVixmRAERK2KlyWkOssDKVKEoaFHWwGRHJrmtQkBldgWLwhFJAzAXDZQoqBm+BF zUUFYAyk7EUNe5pWCVAMxWxFmTT8DkDKySqk00/Yc2YE5MxfJqKB/qgYjAjJtkSgDEXYNRkQ BxxUQb+EkVgDHNLXJD8G472JHyAwlA8GopkkAZhxSpnJuHDkkAZivJIm5uMEhVAzEEfY1ZUI wJQy70N/IzGQJD4REqmorBE4AzYni5Y4+YdgMxShIaNRWwoBiCRQ3EmXwBlozByRkju4AxAr JprwR9qgYiCVqaSuIfkDsUCSqWcFu4ARwEnksS5VaFSoBIyVFSigXZAFeKgq5Cs8gIVSrz8y qeLFXYCJBZpQqUFgBFwkouVWqVJZAiKlLKr+xUq1AiRYLpUKhUBLcFjNyxDFQCU/zcRFCrKK gIpScCLqSxcueQIkVeCqIbEfUCYKgpwVKgESp+JadxGcFigEUwx2saSqIVQILIpYoBFZjBfc ewESq6ssVKMATJQlSJoW3sBICWREl55AiKBSoEC8lTKpgDKVCxUsTyErASPmhXgqUBK4Er7F X3CUcAAr0CdCpXgVdAMqealjJUi4AyVU8hVCQEXzkR5LEhWcgSOAs9i4KlkDKpYJUKojkReg EWSwXwSoEaEULGBiAJEiCx7BKrAgpJVkLOQM1kLsVdixcCNEhRwWAoAi4CWR9ixzYDKyqhRU sQIhdwIGqSVIiTQExL+QguSq/IGLCOHPJq4S+QGUpC4LAAzEWER5L4EUQGYfwiJK7sRQDPe4 clr8gBlZBpqMEaoBHmpMWNKrYVG6AYVf5sMXNR5Il2AzARQwMtTLuRq9DUZQh4Aw1QjyagRL YGCOhqVipHUDPNKEjEmo8MZAzCMxMyapDoLyBiBGHY1yRzVgZarJI7UNQ1UAZcwZ5k18PckK wE9iXXc1Wzgy/IEZGuUaQXkDD8kdDaSh0ZIpFAMR2kkGooZakCNVI69jXw3Je1EB2FelCoJV KgEMtBBVmiAi4qzUDSMgIcFihe80CAJfMqSCsy6U+agNMwWO3caUWKyAwElDqVGveEBEqSVI JVLHFWASEcoqVAlABKkIqYVqlSqwIpeCqwSuVfMCKiLQqQAJX4GArUsaSoBlLt8yoaclh1Ak FUWRVRiKARJxYK7kqyVfUCLJUgixFJAkcAtAAgKlBaw/mACEUKkKR2AhYo/uXSsMLKAkD3Ld MJUogIrUCiJLCiS4f0AiEJuCpNoJARZgKVwXAVAJQqUyO2CxgCQI7F0p1tQRCvUCRcKIY/mQ 7ALKahlgRR8gKiKwI+gwASJFYyVUlleQIr0IrYKipAZiSwwk6iFgCLMBFVrACfYe5UIAgoi/ UR7gRLkROAUDNlYNFVblj2YGbkfBUXugMpYQaK57D3AkUIaSoLAZz3JBqKQIoBK4QFbDIEXe w7Fjt2ESgJSKES7lx/NQ8gRVI7Gv4kahgTsTuzVYckVgJFIVye0msSSKARKhIftBppE7ATkk GskxQCQRZNe8hqloAwk/ArU1FcEapUDKoRK8Glce4GIlEjlmkglV2Aw1EkilTaVHJGkBkzVG 4pZskUswMWXJMVuaiBAGITkRehqH7kiJyBiKMUg0rkvOAMwHBYreQtNwMx+iRLsaaMxSwGae BTyX7gDLnkk/zBUlLEMDD9yRQ207mYvUDs3kRWhVTMBVQCKQpKlQLMFSwAsVCCrNLAEpksUa GmlOCxmQCSj7FSgschLkCJGkFFTS7ARKpUUK4AJFjgL7AEVLuEmW9AIqeCxktsoIBehYIiuw CLhFikFWWBEqFVgWAIlDCUMoALzJUuCLvJpAQJRX5F/lBZAiRUF2HgAgWAlfIEKrOwKBCxRi KOoVoARRhfMKFQK8uwAvIEeAFCJU4RpWkkeewCHAQzcKPPYBFGgi+CpYgDPcsF5CX1AiUKYE UsIoVcgSrrIVuCwv9gBI+pDSsIoBFmZCLkK/cCQuw70LeiQ02AlFIUWZYvkRFQIlQiWDXLCh yBFZhSypYHefkBIESLFAykFEmn9hHyAyhyiqKvAgCJXUyTBrAtVgRrsTsjWakiK5AmaiKwWO 4USBMNBZCXYvIGc9gVJQyRcBFIIaRAIw0UfIDMENRUYoBGoZLzBfYL6ARcMjUM08hrkDLXeo a4ZcBeJAzS31IaiFaQBOyJF0aS8SRzPgDKtJEoTNQSOwEihDVyRAEyTsaZMOoGaWEKCpDD4s BlqUZawbjwZi4Ea+ZHc01TuyR/wBgkG4p3JFKgYiE6e5MVNNKtSUjIE5yZNtcEhYqBmF7khw 6Pyaa4RMcgZxJMGsMfD3+YGMMluxppE9gMw4ZINXdiOjeQM5MuEjbRI8+QOwipchTJY+QESN Jd/YJXgqWAJGClVEVKgCKFXhhJmklIESdi5EJlVgCXJYYj3KAiUyqgVSrmzAkf8AJUOxUBEW KXFkVd1/sAzYJYKk73KsgRBKhVYuOwESnuErlV8SXAEL7x3CCtYAlQVSKlVDM4AL3CQ0xcvg AlW48e4xYuH/ADIEjA/mC9mAGOQXIQETC7UL9h4ARQFQS8ARriAUsARK8MRgsYEMCKIzQrTY Sl+OS5AylE8li5e8hdwCsIhv8BHzEUjAC3kKsygk6l5Air3CsWEuQrOoESuCwAC/4CqVThEj ICiqQ1HglKgEuUSKNGo9yQ2qAS5VVl70EKwEV7hItgkBIDVWWCR3AkPIi7K5CuBICuVrsSFE AFYkFSrDwEgJcZuWBHAGY5oIcPsaitqEVVQCLuLo0TuBmKiOxqk2Ik1OQJHuMFjEXCsBm38B F/uXkZgCL5kg1GSYAiV5DTUmkqNNQTsBnHcRQ1giuBCRzQthyBNI9y3J3yBIuPFyqOB5AyrD BezFlDAzFAXsMAZU/wDJMGklkXAykRo1DiUStUwMkubjkmIAzHzJBruSKASKGYwbawSLyBgR wagiqBhrBINtUMwBlqEyRwjcSZ9qgZi5IUdzRFZgZ8EiE4NfMjgDPkjk081ZLeGBl2tghszD qBHZu5nsahEaQHY0rzJVVBZNJAFywlQqRUBEqGklWrCtwVIAXFAlThlSQE0qmC6SpYgJVYBF SC5L2QARUqGYAIqQiS+9ACsWyjISjI0oCKIKix2KrARFVqZC7MRQBgNeYLi4ilEAtItwxb8S pXARd0EFhExNQC7UkquF7lSYEVpLARfMgTNqlJBYQBK/0giVMFXYtK1Aigd6mkEgILKPuVUk K33AndfULNTQijQEhRBVMFVp4IorUBZk+RpLA/lARWiggqVRagCKCO9ixdi1kBlSKmlPAiZm wEUw5LGAkIAjVBHYqLRgZdi4uWIViwqsDMXYKhh1AivAyVIJATyEWkug8ARfQYZbUCQGfhyE r1qaXArgDKqy4ZfoSKgRJwMGuSRSoGaRQr4FYeQAjBEr8GooRKsAQkGkvmIpIGYCRQgIkrE5 NQK+QMFViwqwxFAIqNki/YsVAEwSysarMEwBMErBqFFyOwDgnYsUAEgha+wilQIr2EB5AEi8 BQIpUO4EiJkYL9RFYAlIsSLl+wpHAGScmkgBnmpFbJqCK1wJFCeDUe5IoBl+JDSkoigGGlUf I0/JIoBmsUgj7Qbagz5AzDYSSLFxDqBiGSGaqSOEBi+B7GnaxGvoBiBFDXMkzcDMQZdDbp4I uQM4gy7Ug3ixAMJE9zfZkgDsJTRWKqjNzSAmmzKlksQIcdwCRqJC8FgCJXZVBfoirOAIlBUv dhIICwpKiJdipAEnXgL3L5KrAKZAwWMAMyIhD+ZLm9ACCrUJUgqVG8gLhKjCTLFZmAJiOBFD SoKcASYRV3EUpcviADVQpuFNZqVVkCJZCKFVWAJQguCpRKYogJ3Ku7KkMUAaVKbCXcqVbCIA BeCpSpEUrcCc8FxCHKcdgkA0xWWEipOJoEgJFyxR2CUVKlXyBNKuDUSrkoBFASwahIASKSWA lErkuOfcDMZFsmkqZCXz5AyknJUpLFRFHkCJJhSUsKOAM4L2VgWKMCYCQi5e1QMwW5cCl74A ykkEjUfIKAJ/Mk7Gl5oQCJDJqKEXOQJCCqVB2AkESNKsiJTAzFxFTRF2AkUZINJCgGYXuMRZ lzNxl0QGbyHHmTWCAT6kg1iGAMxliLlVhFQJHdEoVTabCOQM1ESW6HMATsTFDUexGq0AkEaw kaVArdwMuIEVLyMAS8hQy818ma8uAEXI0zWaoUSgDOGRUojSpgkRQCTkYmfYr8kpZgQYKRJ8 wBHNiO3g05iygiU/xAiM0hm4gj5AkGYoa+rHcDMPyyLKNO0RkjXyAnMEjuWCZqBlxHIapS7N fckUx5AxCrksUoi1JHcDMEi8s3BmFAGP5kjWDbUmcUAzBLVNNLkmIVQM9yYNexEnAGYxYl7G sTJIi4HZ5kqCsWIQCCq1OwSoVXAJFshFCoCJYKixgL2AKW7FjKCqmyqgEVrFSgoVwCLzQLwV eQJnIURxJUmIigCOC6b2CLmAIqotAuCxPkCKimSqwSKleAC+Q/EYC5wBYoMBFgAruwQwUCXL AXyGQBVYJTNKhWAKcBWKrVGOAEXkFrYQBFaB2oaVxQB+IXAiyKlSLASIyMVKlKLFJoBErCCp e4XgCJL5lVi8hXAkQuSx9B5Co2BIEXRoK1gJHsCqAk6oAkRKrNJUuSHIES8FSHJfYCVqHYoi gEVfYYsyxXC4DQE5EZK85mwSpQCQhRFXgqVPAGfsFkv3FbARImLs14UhgT5wSDUOBAEVmSOS 2HcDPhFgqiAlQDMOQuIsa+oS5AyuSdjWcBAZH2LFRFAM1SGIdzSnJOeQJFKMzmpuHEEijWAJ BMmopcfcDMVHzKlEzVkjgCYuLSXt9hEMDMUHsXA+wESJCgvOCRNIAmLkRpUCSmbAZBfqSLgL qhLF/mAlcCYoQrSm9BSwEIzTuStQJmSWuaSlEigGcD2KlQRhAZ7cCG24L70J+AExcl7GsVRK VAy7EhG5IBmpINYc/QmAMwiRR0NYagkt4AykShuOMESf+wGMEieDUObk/mwGYpYzFLG3kj9w MQnJIyzTVaEhAZaI+YNNcEi4HZihdNh5LFZAKxQipXAc5Kl4YVJL7AEpQS7BWk1DAi+mSpcB cIsARRYq+wisMoDywrDBagOzqwr3L7jSkA7ljBEVLgAy+A65EeQC71rYvzGXUKYAowFXwVZA iXJUq5CKgJHgJFx4Cs8AIKld2GMFjADwSKO5UF4AK9Ql3NJceBAEoVZ5LBKQA7CGlhl7lXkC XQULJYCQBRWAl8slQaAkcVKk5chKkIqsBIUCL0LipVbsBm9AleKFWYABWgRSU6FwAJzURUtI H4ASKiLmubEiuAHckUdTUckgBDCUuCpSIpMARXYRUvqEqSBKQ/oFHJUnHsMARd6Ej2NIRWwE 5CWUWBFagTkR8yxAyBlp2D+palXgDPt7lgZqhpowJh/cR3LFGGqgSKkjsUcygCJgsdxF5Azj h8liZqV8EjtTuBMOwVS5ZOQJAuuSw+5IAlA6s1kkXmoGXaoSvcoiri4GcDEosVdQBmJp8gka peSc0AlG2SC+fkAM3WRDyWBE+wGRFWWKhoCESNKO8kjAGVREfBrsTEgRWuPLLFRgCUqZ5qjT 7EcSBGqEVTWGIwBmEkIVoksEAj7oRkvJMXAlV4JCNEdoAyiUqawTMASGZilzXNSPiAJDMtXN kgDKXzJ7GvwJzUDMNWMxNjZPIGK1kyzka8mYuBky7G6wZjuB2kr1CsXm7KrASMwVVmAuxUoA FXdhFjICKugSQRQFMFwRWwVQAGa/MqVHwE6ZALuix3BUvmAgWoWKjkCK1ioVgqAZGLlXAAJf 7CCq0hKoBWKICyABbFhARIqhKoSvUsARd6lSCtRFitwJyVKkoqLRARIJVZVaVYLjAEgcmqph ATFWVXEVrUvkCIJSWvkqmqAiXAVZKuQlkCdqexcBKjwVK1QJE1qBkqSzkCYLRUEU7gCRMljk oSkCJCFUsIK0pgTuiigdewBCKiOAgJ3RVJVcVyBIpAd4LV5CAkXH8osMKj9gJdsKxbCkgRLs CrshHkDPYtbBW7YC4YEwVqn4Fi9CRUBEuIIaIgJCmmCKW39jUZGAMqxeSoi+wEgNVguRCrgD ItNS9hirAkeRFS1uGrsDMOB2qzXsic8ATsTBrBPdgSjRIRrlCwGXcjVamozBIlATyRWNEi9Q JBLIsADOQlV5NNXJRIDMdgagyqIAlR0RIg1C5oTAGWu9CeUbaUmZ9gIS1TRMfgBF2C+SLEjk DPLJTElUxQKoE9qEKlRkgBVkfBUoJgBQkfIrJgCNIhqPcnsBmkskdzXiSZuBCQVXkPwgMu5G vBqPqRgZ8WI6ZNJd6ESuBiORdmoVpJeQMRT+BGjXfJLgdhQ/IKioAi5gJTguGBFNexpWC8Fs mwJTyWFA7ZLgBHcJd6hIAO1jQz3EAElwwlgJUuVJyAwVBUqKVrIBIulUEdyrPcCFWYCVHwFx QCoqWURWKs0sAXkum1LBLyVRW8gRFjLCguQIlShYRUEqAFYIcmkBIpJUhDsIqAV4ESqWKkLq QIlUql2LA5gCJFaUNuQldoqWcgRCMFWQlRrABUswr1oFXBQHyIrlgq7ASL1EYsCxQCK0l57h UYywIk4KkiqwSuBFVCPYqX/A7AS2R+13RruEBFFVBFZljuWJsBFykT7GlkcgRdxcsNOfkKV5 dwIqqGIoVWgAQOhewAnuIuXswBnwMFcDAE8lpMBJSIoBOQkXLCmAIssOxU2pkZjAGX4K15LD JgCR3J3NVQS+QErFCYtJX8hSqAkYdhTJUqD3AzXIVmXkW0gRylJDViAShOZLFBQCJPsIoyru SM2AkUkjVDX0EU7AZiET2NWRFUCRQmDUO5F4Ay1dod2ai/YQBiKxzgFi8B8sDKUkihp2kkR/ ACYI+9y57BATEZIVSErgZWajwUlK8AQFH8oDLmQlM0LgkcASkEjPyNQT7AZq06islHYDPsIL eakibASOGZSZuLkAyS5rJP5oBnwmRZNNUyQDKRH2NRSMEaeGBmtiO0mieZA5y4C4KkAVqMqC gsXAhVUJBZAqXA8jElQBD8SpABRXKlF6iOSz3AmC4YuFYCpCCqwizAJcMq4GBZSAxFSpRQqQ SrEAEnI7sUbKlTuAxS5UqVYSqVKgBKcBU8BJQXuAWRyVIKlrAFGIBc2oACUZY7FzDkK9wAgJ yu5VwBFahUuwSksfIBSCRyi4CtyAV+Qu5VT3Fu4Eo6ItfIibwVJzQCJQhXgvwyshAT6lVfAd gk47AIBcWEeOwC00gR/uwVUAmOwL4AEhSIKEnUAl3RMGkn7kVgC7IRevsW5EgAhBrIigEUCv JYL2AnNBYsXJCtgA17EhcKTQSqBIlOB9hHgIBCsSs0L9ypOYQGbgqGAIkIvNS4J7gRUQtYsY DAyhFDXPIiH5AzCgYVC4oInIE8DzkpLgRKJI04NNEiLATtkWUSVxYRFAJl19iRWYKqP8RTgC cjyWKSSAIlyguyLh8kiLARfcWpFyyIoBlLMkWTT8kiW4oBH3J2saiaEirAkZJFGXkLkDKHJW qSEBmhI7eDUXJkCEqajJnkCE5cmubku2BEoJc1VkSAiyTuXA9gJ3Mo1JIlATPBDUEAkQSHYr 7+wAyiNd4NUdB7WAxS4iLM1DsZAlfkS5rlyZ5skA7GWqtzQ0SKutAMmWmbcNwSKXA50qFSp3 CgVAoXDCUFsgCrNAlgIsANKLCv8AQJciKgXIWRWxUvkAUjNQlBUAoVWwEElIFV5CsF2L5AVw VIKf9wvABexUvMAqswCKoC7FjACKBIIoESVS6bFzQYrcAl3GLhFh2kB7jI0q5V3AFUQxEAB8 oCTQ0xgqXMgSKMqzkKlBiAIkWL/QKC+QJFCouORHyAioxXJUImsAFnA9i4oK2Ad5CUUCWAoY DIS5ZfccgRAtJC+wD3CS8CkFVgM2o7FiZ7lgJXAmQoKEBFmmSqYEACJSI+5e4AiQXcsXKBmC x4EdgmBIYipUuxdKdgMoexcdwqqoEoF3LCCVagSByBHyyBI+wSpJUqCAJCDXZFgK4ERFw2WF gcgSBVWRUTIBZJHyLGQpqBFlWCdKFiSJNgTAsgi4sBITwRFoidgHkRQE5AQRL5GmIfNgM3J5 NCAJSCFtSSJSwI+AWBAGaEj5o0siAMxODMR3NUJFIAkRwZg3DgkIDDu+S4NfYywJBEVp4DXA GeUHT2NQTsBnD7ERp+KkAjUMQodQ4mrDvLYGeakc14NXFpAwKcG7T3MoCMcoDHIGajkroqQH wBmOyJd2K+MEAkXUEipWgwMtXJBXWhGuAOxS4CKBEnMlXJVTNPsFWaAK5KgrUKrgFWwVnyWP AVV3AqVAkyIvafYAl2sVeKhVdy45AWoVpWCCWEBUqXCRUhAAUwipUHagBFEUdDSVQJNC4CLp AlZLa4mZwFEZAtgkNP0CVAKrUEcBQrMvdRIE5KkIxISnsAQSwVFo27gTLK7UEcIvLuBEn7lV 2EnwXTwBFlhRcKMQVWdQIrFpkRNGPYBYrHgLMARTVQW+CqxEqvkAVLuHIQBILwFSali2QMot 1UZCARdF9wuIgQmwECslJZMBZ0sSnsaSREop8gFAVrxQac5AgRZccjFwIC1sIAlh2yVXoxmi AgSUSUiv27APFgPqPqBO4NLgLgCVySLzY0+8EwBIgKiqWuQkBEsCH7l5Ed5gDMViaiJqi8sZ Ai7kNRTMhK4GX2QpUrTH2AnPAapBWqWIgJ2Jya+REsARVDKrCOwGYiw5+xeZGAISDWODKV6y A9yRz8zUUJzIEiCP8TUUJgCNMi4yVoK/YCCE1gsKtCJATwyR8jUUJFWBiMhmqkd5AzhomDSU qqYjwBnP4ENPME7AZuicxBrDIuYmbgTwjPlVNw4I5SAyrBSXsie4EihIpFCsMCO1FUhWSOJA hI8l9oFm8SBEr1sFVFXBO7ugJ3ZlIuORHsBmMhGu2TIEiSUhmorW5l+QOYsRyVQlIVQFC9wo 9yoCY8GlVEWUXHYArVKl7BIqVQCCFVYqVQCLyErlUASDSSEcjSpVEAVuSr5jmCwAU1U+xaJs TQsSu2QCQXkqiZuM1AK/3FJ4KshdgFC4IlKLHzAKuCqQheUAV5QSRaxQJUALwVvgQhkBBUvq FmAszcApqixGAlRhcoBghaeOxVIEgsKQXAEj6BLkqSVxUBdWC7QFeJEVAJFi65HsMXsASpH0 ESi4bDAlIkKWXNwuwErmwSUD5+5Y5ryAUqtx9ypRH3EVAkcXQ7DLoVW8AT3BRi4BJpSiRTgt IkX4AiLCFSc1AqsSy/EuLUAEEGoqRL5AQqiGLSvqPuBKr2EcF5CtcCJcyOS0sFAEjD8inkRc AO5CwIpYCfUqpag8i64Aiu5kKILHBAJixawBilgJCgkGkoYSAysw55Iog0qJjAGchqHcoVwJ fyTLNc/cizQCYIouarUitQCRTIXDSLHuPIGWv0rj2LywkBmt2OxcEhwBIhBcRQuewVJaAivQ irPYsK1QuwGeXcFdrEAlyexqI/AlgMxhEfmTcUZMSBmCODTX0JFfsBmIzclJNWJdxQCYI1T8 S+4hOgGYo6kaUXZrBHSgGf5QktpknuBGSO5qCRyBmKXkWRpz4MxXwBPcFcQZw+4EihYbUIdh QDP8ySOUa7EjkDLyRwaqZacMDnS7ligsK4AsRQIKxccAKVLjsRWNICLmCqjEYmSqwBJQ6sqz UYkqXIEzY12QSzYun6ARSyrsVZKqAFyEObFUcAEKTUqmBFIYDEhLNSqwUVyAwVLkFgArDIUl U4uBPcquElJUqAT7FjuVQxEyASUYC/EKMFrAErWSrkuQrsCQ5cFQ01X3LIEVmi4bqPBYwBJU SxFyrIm9ACUCmRiRFLIAlQe5beWIqAnuF2LyRL2AK/AWSpD2AkUKlQQPuAzYV7lSCAisMB2v JWAgd8CqYVHUAFmVcQ5YAZHeCkjNgFK1C7lpHBEkAV4+wVCqwdqMCYCtM1LEhICRcJQWIJAB ZDpyLjFQGISJGC+6gWAnsPJR5AiHYsUuRpATJUi8yT3AkXwFcvIVwIrSTwWKD5ATFvcLMl7C kASMkxJVbuIwBMUipDXISisUAzFOwRQBP5klipLAiAJ4YjgsIkOvAEecEikWRrySKASCKuTW CRUCMi+ZpTJFzIGSqZuVJ+4gDBXaVgr7kSwBGqslIKLdwJi5n2NUSI6AShGq3RVZ8hLwBl8Y Jc1Dn7Eu3QDLz9ic0NK7+pLLuBnAjuagjSqBmK8kaXg0TyBO0KhOSkrFKsDPkNdqGswZswJE BXLl0I5mAJd1ZPma+5O1wMviKCDUTT6ko/AGVF0TsagzS84A5wgqyPqAijqXPAVyq9UBRpUI IvIBIsBWY4UgXBcDASVQKlzYKzoFY0lAEWSjTW+CwBQFb+BQFfcKzEyiqwD+YCvwVL5iKAFY FqvBVyA9wpWAq0sKgIhYBVwF2oASvJUFQQoAMRzJcIsAROaxJVkKMBVAXwWFGGFZ1bCgBagS 4ZayFmgCKsiyVWEUzACHyIQVOGX+UAigUiMBJ8AFPAi9SqzgMCJFcJBZOnv9do0/Fo6fT+f1 8/srywO54sKnl7e/6hpc6tza3Jumo+RzafUNWn+26XWu+mqFHe5Csdbb9Q6XX+j+d+FvGpQd nRr0a1OjVp1eGAVi3I7Gku4ES9wrcBRmAsgEoQincqyKeEBPxBc2EAQrsFSgwBEsSVXgYgUg CY7lvkQEA+TIvBVegVwJgYFGVAQfcsBAQmPsVWGKASwGC/YCVaEdy1RFCcASOC0CQXAChF8h eecB1wAJDNR8iR9wJX+AVLli45AyrWBRcCK5Hc1nJFkCRTuF3Kg1QDMU8jBfNOwAyP5RbIUA yv8AkQWIkLuBn6j2NRxcn2AhO5YrQUAz3FKljuRVAkRWhKT3NPCZI7ARkawaqiNZAn4E+HuF MXLAGUn8gXJKqQMuZuRmorUl00BmFUnJp2hEdq/YDMZJdM07UJgDNYowu5bTJFkCckiTTREk 6fMCEj/cvgewGWC5eSQopQDPI+RY9wBlQ5qTBpZioaA5FcqhCxUvcAl3LSBESXwARVWQkVWu qARLEGlwStoNViWBINYC+QUAEjStIVU8jSBV7yFZoVskEr9gLfgRgWZVn7gEo7liowOagMdw ocz7CktmkApASwEqFyAQXAjhSygRURVRUH4FqwFArxA5KuACVGFm4KvYAgCqwDugl8wvdBSA urhfQqKgJzAWSpJkS7AFAogrFVv5oAQml4LCk4Oq6vY6b9HW3q3Hbb0qdTA54ml/B1Op67Z2 tT29Ce9ux+pox5eDqb291XUJrW/zG3+5of6T8szt7a0afh0aVpV6fiSib2re6j+8a0tONvRT T7vInTo0PU/h06NKq240o6z6z87r1bXQ7a6nWqatcxt6fOrPhGtHQfnNS3Ot1/0nUqrREben xpz5YGdPWbnUU6La+PR/3tyVo/8Aqr6vsb073WaP7To/i77O6n9HB3NOh40s5drptW5+zIHn auv6V/o9R8e1239pr62N7WnptxfFsal52tyT0dXTvTpjVopxdHU3fTOh3H8WrptC1fvaf0X8 0BNGrqdt/wBX1T8bmk5tHW9Zp/X2dG6udGo679O3NH9363qdtfu6mtzT9TL2vU9v9npeoXvt 6vxQHd0+p7Cpvbe7tP8AzKh2dnqun3f1d7Q35PH1dXvbSf8ASeg6vbWXoS3dP0r9DG31PpfU avhW7sfHxq/q9XycCj6HTW1V2qIPG07GrQvi2d/e2/D+JHJp3+v0W3dreXGpQxR6tlCkUPOX qW7oX9f0mtf5tDlHLtep9HuOHufBq41KC0d2EIdTOjc29a/q9enV4ZtprAE9yRUqQXEgF9SR 3Lj8SgRK5IoVKsBUAkDGSrgLyArEkLCZEgEdgpuUK1cgT7Esi8jEgOzIykrgArE8mogkXyAg mbGiLIEkRPEgOOAI/AyVOaOxVRUAzCrWoqWkeCd48AR5wOSsnIEQpkvMjEAQlYsadiATsH3D WR8wIr1F2WEQCK7ipFmS/YWlfUCYtQkYNE+oEhO5Ei0hoJUmQJEkL9xHsBmw5T+hRFwMxSJo TBqKEfYDMUgRJcXJZwBPuQ04diOgGYUwTLmKFiryAMZpYrTvksXJzWAJHclS+ESAIuDOINEi QJgQ5LYgEsSOC4JAEmUyOILbAqBOSVZbgDkSNKbhefIS7AVVoWcLBEW3zAqhKlAlyW1hgAle DUQpIrMqv7AWKSNIXDKuQCKqYIl8zSVHkALZkKxfYAVK/HBCsBp70KIKBIoVFQQBcSFkKJKr dwKvmS5aFVGBEpCmHDLgYALuioe4wA5LFKkSKlM3Ai7QWoXJVCYEV6MoV+5UqVvkCRgsLJEW LgIVwpqMk3Nzb2dt7m7r06NCu9TAumK8nH1HUbXT6Pi3txaJssvwjp7nW729TpNH5vR/3dxV fhHDo2tOnW9berc3HfXqcv8A2FHJudV1XUT+bT6bbeWv09X8DGztaNttaNM6ndtzqflnF1HW bGxufmZ1bu+7bO0vi1vzx5ZjT0vV9Wn/AEzc/o+y/wDA2dVWv82v8EQXd63Rp3XsdPo1dV1C vt7dtP8Aq1WRldDu9R+l1+58Wm/5jalbfu76vsd7Y2drY2ltbG3p29tW06VCObRo1anGlNsD h29paNC0behaNKskoS9jl2tnVrcaVLO1tdNFdxz2R2ElpUaUkuEQcG102nTXX+k+MHNGMFAA j0p3SfsaAHFq2Nt4a8Mw+n41fNHYAHUezuKynwzg3+n293T8PUbOjcXGvQn9z0iMDwn6R0Kb ezo3Om1c7G69H0sZfQ9bo/sPUnrX7vUbS1fVQz3Ho0O+lGHsaHZtFHht+p7X6/Q7W+uen3of y1fxOPX1/TL9HrNnf2Hn8/sOPmpR7r6fVhpmXt7mlNQ47EHjbOjot+vTbu23/wCLd/A59Onq 9r+y6vWu2tScvUen9Dvud/o9jVq5eiNXzVTh/wDitGj+7dZ1vT9tO78en5apKOXT13qG3+vs 7e8udLhnJo9Y2U439jd2vKodR9P6rtfqdR0nVLjd23t6vmpRn+k9Xtp/0j0vqEv3tnUt3T8r /QD1trruk3Y+DqND7NwdnTDU6X8S7OT5p9V6Tu6vh3de1t6+N3Q9rV9YOfb6XTHx9N1G7oXO jX8SFHvD6ni6d31Pa/V6jb3lxrUM5dPqvU6P7x0WprnRUtHq5EHQ2vV+h1uNW5q2nxr0nb2t 7Z3V/V7ujX41Abj5AsdnAXzAJUIjXuQCeR7VEBICRNS4yMCy5YEfzHcuWhigEEDkICfzAwGW sAShIoVwFV8gSlQuShXAy5jsxykyqEwBnEMe1iu4X6oEWXSQqlpVzBMAT5DHBr3MxQCV7CZ/ AvYQBCfYoSQGYXb3I5jsacBwwM2QWS/QAZjsyJUNKvBIYE8kjg0lcluQM4/EU7lzQgDwZSq1 JV3EQrgT7GaQ6GrEdrASKWJQ18oRF3YGYyTk00ZSfIEomTsai9CAZiGTwzUE+4EinJmyNNVm SQkBESpWHEAZ9iRGTRIuBO6M08miZYHOglQIqtQAu5UqVChoqVABdNAkVWAJFQV6IsYAQXns FzkKQCXJVnKC+RQCiyKrXCmroEuAHgvuEuQgLFHHzLklsyX6gSKyjS4wRcFALLZUvsLlSuBF OYkLgqoWAEYEL3CtIiAHbJVyh7MqrQCKZKkFNgAV+5R9QgAuVKpIiaAFaA9S06Xq1NaUrtuh 0971Db06nt9No/pG4rx+rp8s62rb17+r4ur3PzkW0KmjT7ZFHPueoPXOjottbjVPzuqmhfxO DTs/Fr/O9Rre/uYeqy8IvUb2z021+c39zTtaLKc9ksnBp1db1f8AY6H0ey/8Xc0zual/l048 sg5eq6nY6aPz2uNer9XRpXxa9XhKpwrb67q/1nq6HYf7Olp7upd3bT9ztdH0Wx0vxatvS9W5 q/W3db+LXq8s7GlcAcHSdJsdLtvRsbOnQn+s1V6u7d2c2nS2/h0ptnZ2um1Ouv8ARXGTsbej ToUaVHL5A6+z0udxx2R2dOnToUaUkuxQAABIAAEAAAAAUAABkGiEEBQFqNJ3Sfkw9rbf7MeD kgBHA+nWNTXlGHsa1aH4Z2kIA6O7tvVpend2/j08a9Mo6Gv0n07VqerT0y2dX72zqe2/oe6R 6dOr9bTpflAeA/T+q0f3b1TfSxp39C3V86Mkeq7X63T9L1K52t17b+Wqn1PcfT7bmJXhmH0z xrT8oo8Lc6zb0qOs6Lqtlc69n49Pz0yY2V6X1L/qN/Z+LjRufC/ke5+Z3dNl/wCrOt1PSdPv qOp6Xa3P9e2n9QOpp2er2a7PWbulYWtScujrvUtumva2t9dnDOL/AOI6bTL6bd6rpX/4d5/D 8nKD6X1Lb/s+t2N9cb+z8L+en+AHa0esben+36be2nzEo7Oz6j0W9+p1GjxqoeV+d6/bn896 bq1rOrp91a/o4Zw6+r9N1avh6nS9nVxv7L0P5gfS6WtSnS1qXKciKcHz+z02xrXx9J1OtLD2 9xakc2jX6ltU0dVo3VxuKGKPatYfgeVo9S6zb/t+h+JZ1bbk5dv1notTjce5svjXpLR3wsmN nqdjdX9Xv7erstRyR8gIrMQsFVoySKSBA7lxQWwgJFBdUDEVuBMCCr6DkCK/8SQUdmBlUkYZ V9A0BHYmKGoIl7AO5PLoVU5DqgJ/NSObfMquIq+4GY4FalQogJFCW8mueCRStQJGKE7Jljgl LgTkFRPuBKOowWtiATDJHJQmBn7kc3NNPkkASCR8zX0J2AlEvJH5KyATEyRlf1HcDLt3Rmhr JOZAkuIIXmhAJWpIc1Xg1FL1J7gZazkhS0AxyO5WrqIJ7AShPuXkmAOdXdBpomO5pKgEVZ+5 cSVWgJUAumroWKdgl3KlQAqliPIXYWQBSazQiyxAF0/VhKtwqlXkAkWKDTapewEinDLzUKYL 3AYKh9wAitSqk8hdioCJclVmFUqQCsDMBIqpcAoguERVTwXCAmCpRcdglUCoUrDCgaVSoBK8 lSdoODqur2OmX9brnW7aNKnU/Y6O5u9V1MrVqfT7T/Y0v9J+XgDudT12zs6vzemd7exo0XXl 4Onufn+pX/Ua/g2/+1tunu8l29vb2tDWhadGlV1P+LOsus19Q3o9P2lvRR72um1p976vYg7L e1sbL1ano2trTdtwkdbT1HU9Uv8AodpaNt//ALjeTSf+nTd+8I5NroND3FvdXuPq91WetRo0 /wCnTZe9Tud2B1em6HZ2t38/revf6j/vbrlrwrafY7a+Zy7HTbm5WPh08s7m1sbe1VKdXLIO ttdNr1V1forvc7O3t6NtfoqvLubAEABQAAACAgALAglEBRAogKBRAAUAAAABIBCgQQFAEBQB AUATAKAON7W276EYfT6MatS+pzkA6z6bWratOr6GNe1ufC1q0Nri6O4UDw970v07d1vVq6Tb 06/3ttPRq+agx/8AG7mj+7eo9Vt8adyN3T9a/U95pO6T8ow9nbf7MeGUeH+b9W2rLouqXZ6t rV+KJr6vc06Wus9N6rRpy1oW7p+h7T6dfs637ow9jc02h+GB4OjX6N1Gv4dve2tG5wtT29Xy Z2dHS9RtKem63e0rC1fpI73UdPt72l6eo6fRuL/yaEzpP0noU29hb3TaudjdelfKwG9PU+q7 V9Ox1C7OGza9YWj+9dFvbXLSlHB/Q+v2/wCx9SW4v3eo2Vq+umGT856ptL+s6Db31z0+9V// AF1Ad/Y9U6Depp6nTpfGqh29L0a9M6NWnWudLk+d3es9O1P4et6bc6fV/wCfYelf+yoa2el6 Le/S6Pqmnztbyf0FH0NnUHirT6psf2XXLWlbTu6Ta9S9R2q7/Qad1c7WotHrVgeDzNv13o24 3tO7sav8+k7ux1nSby/qeo2tXb4qgc1rkg1ELLXYni4B0p9SdixSpIpcCWH2LawgCOxEURcC ckp4L92Iv9gJ5CU5ERKHNQJNBFOzLipPmBMQrkNPsTFgI+HQkUqyywlwBnK5CUSWPcLIGckp U1a5PYCfYzCqa7ZJH/AEo8iotSvkcgRql6kiSvnJI7AQiST7F7COQMvOSRfJpZI0gM8okUNd pIBjA7yWth2AhlmuyJUCJUZm2TXZWJFwJFZJa5eQBzXKshVKuwBKEXSvmEq8lSo8QA02NIll CL4oAsixYi75LAFCCpQqAVKrYIl8yq0XAJRwVeArlrL4AkUNL6BUQVVUBdUgvzIkjSAhVVhF Wa1AKJZUkiFSkCIqmqFy2AKlhjugrMtZqBEslz2Mbu7t7G29zd3NO3oWdTPO3ev3+onT0Oj8 3o/7+6v/APVAd/qup6fpdHx9RuLbWFl+EdDX1nVdSmtnS+m2n+1qX6b8LBxbPTaNO493U9W9 vO+5rq/bgxv9btbe69jb06+o6j/tbVWv9Ttp9yDm2NnRttvSm9TvqbnU/c4dfWrVr1bPRbb6 vdVNXwuNGj/Vqt7Izp6TqOqr6hupbf8A/H2W1p/+2q+r7He29Gjb21t7ejTo0abadKhL2A6m joNW81r9Q3f6Q1VbWlfDtafb9r3O6kkklCSslZHJs7O5uv8AQ0yst2R3NnpdvRXX+nq72QHV 2djc3a6VGn952O5s9Pt7df19XL/gcoIqrJSIoRCGjIAAAAAAAAgAAAAVAQFgQBGQrQAgKIFE AgQUAIEAAAAAgQAAEAABAAAATS1qUqxQAAAAAAAZ1aNGq+nS/Y0AOJ9Ptu06fDON9M/2dafl HZAHT1bW8lHwtrs5Oj1Hp3Qbzb3+i2fi/e+D4dXzUHtDswPnl6Ytv+69d1mx2/OfnNPy1SZe 36ttfq7vR9UuNeh7er5qUe/q2drVfQvahx6ul0P9XVqXmoHhaur6jSmur9L6haf3tuN3T9K/ Q6z3PRN/V8L17O1r41TtavrB9E+l3V+rq0v6HBv9Pq16Xp3thbmnjVpWpAeXt9FuaF8fR9fv 6F21fHpN6ep9a2La+n6pd18LGv0j096nq0bD6fXzs63tv6GNXQ9Zt/3f1TdfGnqNvTuL50YH Np9d3NunWem7+hZeh/EjtdP656XvUXVLb1cbml6TzVr9W2p/OdJ03ULnY3Xofy1fxOHe6zpG o67oeo2O+70/xL/20yB9Nt7m3u6Z2tzRuLnTqTNNRdVZ8ns9N6R1DnpOp0adX/h3oa9mdnTt erdMv+m9U3Hp/d3tMotH0cMmfueDo9U9a2f7bodjqdOXtaofyOXb/KTo0/h6vp+q6V5evRK+ aFHsq2CLsdTpfU/Tuqps9dsa27J6vhfyZ3dK/RlVTyrAZmvMhCJbEYAnkntQ1gl0BMUFa4EV HzAkUJksR2HIGWEu5U6CkZAzgYoXFiATwT3LFRCQEgkUK1zgQBlqljJustSRKAMu/wDsGXDJ 2AkUkkPJbIPkDGXSCdjVSOQJYzQ1HckXlgRqk0Ik60LBHYDNhhlsTmoEZH8ypRcewHMlBUkV WCzyBVYqoRTFSgVLgKIkKmSqF5AR8ypXFKlSXIBLvgtsU4Il3Kr0AVqVLEkTNfzAEs4guCr3 AAqph3CCy8AChdwrgMQUqqvAxABSELF9wEdwOfqdLqPUdvTre102h9Tuq/wuNOnywO7q1adO h69TWnSrt0SPP3fUnuN6Og2/zrVHu6qaF/E6+va3Oo1fH1m7+c429NNC/iXqep2Ol0J72taJ po0pS9XZaVVkoi6f4tz871O4+o3cPV+rp8InVdZs9PqW3r1ate9q/V2ttfFr1e2Pc4v+u6rn odl+Hval9tP1Zz9J0ux0uh6djb+H4v1tTc6tXlurA4PzPWdX/eNb6TZf+Ftap16v9WrHhHa6 bZ2en2vzWxt6dvRxpX35OXb0a9zV8O3pep9ju7HQpV3tXxP91W+YHV2dvXuuNvS9XLwju7HR 6NFd1/G+FY7OlLTp+HSktKwgAsoVEACKAACopEUIEgoAyCgCFCEAAEUCQIKAAAAAACMhWQAA AAAKAAAAAgAAAAAALBAAAAQSCgCQIKAICgogKAICiAICwSAAECAAAAmrTp1fraU/KOHV0uxq /Y+H/S4OcAdPV0K/Y3P/AGRw6uk39Mwlq/0s9IAfP9X6d0+9/eui29b517f4nUXpOzo/unU9 V0vbb3m9Py1Sj6s49ezta/19vS+8AfM/mPVdr9Tq+m6lcb209D+en+BH1PW6FHUel7mpc7G5 p3F8nDPodXRbL/VevR4cnFq6HWv1dzTq8qAPmd3c9C329PVbWjY1/wDm2ntP52N7Hpe3H5z0 31HqNnj81u/HpPd3Ol3vha17Xx6f/ZHm9R6R6fr1/Fr6TTta/wB7bnb1fNQBx6Nz8ounpo6z pes0r9ne0fC/mci9e67Z/vvom8kr6+n1/EvkY/8Aj+o21/03qfU6VjTupbq+tfqSfV9q+30f Ur/Jq1bWr6ygO1sflN6Nuavh3Op19Pq439t6fqen0/UdP1Omem6jZ3l/k1pnz291mh6Wuv8A S+p0LLe0t3T89MnSXRfk51ev+p3Nra3f/HuPb1fJgfZOdM0a8kZ8xt+n+qdKv+g9c6nTpxo3 9K3NJy6PUvyk6em90fQ9dpWdvU9vUUfRchngaPyo2dunX+m9f0bzq+D49P0O/wBH676P1dNn 1Hp3qf7OvV8D+oHfX2JmprSvi0/Fpc6f3tNV9DPf6gSAWyJAEpVC9Cu3DJF0BIoZ5/E12CAz FKEdvJoNSpkDHFAy1qpJWMUAzyEsF9hgDN58kdOTTXyIBnUqcEhzBeZsRASKGTSHsBjkmIg2 SwGakwy4IB2Fcq4kRCm5dKhgFW5bK47BWAvsIKshWtKAK0GsEXyLQAr8DA96DwBUrlSyEVWA T9yxcnJQCRe1RcKqAoXKgKz+RYpUBRygsCK3Ov1nW9P0lN3XO47bemurV7AdlVbk6fV+o7Gx r/NaE+o38beivzeDqbu71nVprc1PpNl/4eh/p6l3eDOlbPTbOr4NOjZ21XVqb+7JQ16uq6qf 6XuLRoxs7The7yXc3Njpdj4terRs7S9l/udXT1O91NOi218H/f3U1p/+qvq+xy7HR7Wjc/Pb urV1G+v8TcrH+lW0gY073WdUv+m0f0bZf+Nu6Z1v/Tox5Zz9L0mx0+p7mlate9q/W3tx/Frf vjwjn0y9UJNt+7Z3On6DXq/S3n8C/dV/9gOpoWrXqWnTperU8I73T9A3+lv6o/y6XX5nc2dv b2dPw7ehaV9WbIM7ejRt6Pg0aVp08IpQFZABUAAAABFEaMlVgigAoAAgAAAACgAAAAAAACBI oIICgCCCgCAoAiBQAIUAAAAAAAAACFAEBQBAUAQFAEIaIBAWBBRAWCAAAQSAUFEBYJAACAAA AEDUqGk13qUEHBq6bY1X20vFDh19Dof6u5qXlSdwAedq6HdX6r0avDg6nV9Bo3dMdV0mjcX+ fQtX1PcgVKPlP/iOk0Oen1b/AEr/APDvPSvk5QfTeo7X9l6hp3UsdRsr76YPqNejRr/X0adX lHFq6PY1W0vT4YHzf9I9S21G70GjeWXsbyf01QdPqtz0becdf0X5nV/5th6f/wDJUPqdfp6/ Z3P/AGRxa+j39KaWn4l2c/QD5np/Sehf6fpfX9R0zv8A1HUSvkdnT/8AiTpabXqmx1elfs9T s1+aO51PpXR7jb3ui21q/eWj4X81Bwf/ABj0L/put6vZ7PX+c0/LUBj/AOe9Z6f+++gfndKv r6Ten6M5dj8r/RtT+DqdfU9Fr/d6jYa+qoY/N+qbVtzpeoX+fS9vV9JRx7vUb3wvT1npe89O XpS3dP0r9APd6Prej6zStXSdX0/UJ2/N7ibftc5npa/WUPwfG7nRfk31Wv8AS2tnZ3eU3tal 9jsbPpvWdPpn0313rtrSradepbuj6lo+pwFaanzmnrfyn6b9fR6d6jpXCe1rf4HJp/Kf8y49 R9G6/pudehLd0/xFHvOUMHm9J+UHonVRp2vUtjTrf7G6/wA3q+p6Oj9PR8WiNennS/iT+QEJ Tk1/LJdsCYdCLiC/MR7AZipKGmvJHkDJPc1yTkDNCRQ1ihLJ1gCJf8me7qafuZpcA1czSrK6 kpeAOwaSJ5KssArFjAQilwKqsL3CWCqagIi5UqBXsVAEipZJM0ZUsgVWCsFPYqmoDt9SpXIl 7l0gFVXLpiSKODHVdR0/S9O9/qt7Rs7S/a1uPlywORUTOLq+p6fpNta+o3dOhOyd34R5G56x 1XWzp9M2Xs7Nv6Tv6Yb/ANOn+Jnp+n0aNx7urVq39933dyr9uBR2d3rOr6r+xT6TYf7epf1m pdlgxs7ezsLVq21+k66tzU51PyzrbnW6dW5q2um0auq3Vf4HGnT/AKtVl9zH9G1bz+Lrt388 8bOim3p//wCvcg5H1mreb0dDtrf1Kj3NTjb0++fYaOk0ata3Or3H1W6qr4lGjT40/izm06NU JONOlWSokd7pOh3dxS1+b0fvarvwgOupdzu9P0O7ufpbn9Xo7/rP2O903TbWx+ppnV+87/7H KQY2Nna2NMbeiHnU6t+5ySQBQpAEUEKAIVDAEABQAAAqIVAUAAAAAAAAAAAAAAAAAAAAAAAA FAEBQgIBAAAFAgKCCAqAEBQBAUAQFAEBQUQFBBAWBBRAWCQAAgEEEFBRIBQBkFAEBYBBCQUA SAUQUQCBAAAAQQUAZBoEGcQcerY2tf623p8pQcsCAOpr6HZf6r1afeTh19BrVdGvS/ND0YEA eN1HQ7urS1u7C3NPfStSPO3PSujWqdGxq2NXO1reh/wPqN7c29jae7v7mjZ21+1ualpX1PC9 Q/Kv0vZT0bGnc67V/lXw6Pm7+yA6L6TqtH9j6huNfu72ha181DJ8fqW1+v02zvLna3PhfyZ5 nVflF129vfHo2um2NC/Y0bc/NurOXovWep338L6B7zy9pwl86FHL1Wvod7S11/p2rTz+d2JX zR1dn0v0jXr+LoOo3ul189P1D0/Q9rRut6U3o1aG76W04+Rxb2x02/8A2vTbevu9Kn5gdTTt flB03929aW/pVtHV7S1fU3p9a9c6f++eibXUac6ul3ofyZNXR7GhtdPv9Ts6v3drcepfJycn S6eo0vUt7e/PW+BfBD94A1t/lX6TPw9Wur6HVxv7Dj5qT0+j9Q9O61f9H1/TdQ7xo3U9Xyud bT0W9vKN3b0rS/3/AOA6X0H0vY67b67T0m3/AErac6Nxafh+FxFl2ZR6LrQJFXepEqWAhHGY KSgEm9DNeDTXDJXAGYvR+wKskwBmKsncq5Jj3A7CRQu9yqYALJVNWRGlNgCgpFmhUsgVeAqp hVRVeJAK8oBZVSpACqwjuVdsVbAJOxNzXo29rVubmvTt6NNdWrU4S9zx+s/KDYW7q6f0zZfq G+qN6XG1offVn2PO3Om3ut3Fver9T/StSrp2NC+HZ0eFn3FHe6n17X1Gp7Xo3TrqIo+p3U9O 1p8K+o6e30S19R/Sev39fXdTjVufq6f9OmyNdR1Wz0/w7Tl63+ptbanU/CONaOq6j+21/wBG 2n/h7eqdb86sexBz7/W6NG7+Z0LVv7//AGturXl20ryYezvdR/fNz4dH/Y2dTh/6tV37UObp tna2dr83sbenb0cLPnk7nSdHu79dvSvh/fdF/uBwbWhadtaNGnTt7em2nSoSO50nRbu6p06f h0fvavw5PQ6XoNnZjVq/rdfOpUXhHbA6/S9Js7FUvj1/vavwOzJAAVShAgAIqAgLBAoACoqK QqIJBDRBggBUUAggiCgAAACgAAAAAAAAAAABUBCgEAAAAAAAAAAAAAAABQAAAFIAAKBACgQA AAAAAAAAAAAAEAASBBQQQFEFEAAEEFAEIaAGQWBAEIUEEBRBRAVL4nCTb7HQ9R9Y9M6BvT1X Wba3F/h7f6ev5K3uB3hH6L1OFpV9TcJe58h1/wCWW450+n9Hp0f+TffxP/1VPmz57r/UOv8A Udf/AFnVbu+5pon9FeNKoB9z1/5R+kdHOn+kPqdxfsdOvi+eqx8/6h+V/X706ei2tro9L/a/ X3Pm6L5Hk9N6X1m6k3trZ0c66fQ9Hp/Rum0V3tWvefH6un5ArxtzX1HW7/xbuve6rdedTet/ 7Hc6f0fqtyu69Ozp711fJHu7enb2dHwbenTt6eNKg3p0bjVNELnVQI6HTeldJs11aXvauddv kd1PTpXwKEsadK/BHY2uj161P6Wpdv0UdvZ6LToVdS0rjQvxA82Nb/ZWn/V/A5dvot7crqWp r/N+ivkept7W3t/qaEu+TTVRFdPa6Db06f09Tf8Al00R2NG3o29MbejTpXZG8kpUomCV5NMz MMBi5LMrsTuBKRknfgqiGid4Aj9yV9ixySy7ATkzc0zLiAHMGTV6QRL/AGA7HPBVJEWcAFll pAzMCABpdmRcclVAC5ViqiqgvmF2AvuVJ0hS3Y8/1T1bovTl8O/uvVvv9Xp9tfFuavbHlnid T1fqnqSenf1v0/pX/g7OqdzWv82rHhAev6n650fR7j6bbWrrOrxs7LmP9Wq2n7nkdT/TvUl/ +Z7629i66XYcaf8A7O+oztael6Dp2tGnb2NrLtP8WRbvUdR/YafzG1/3dzT+k/8ATp/FkHNq 3On6LY06f0Nnbtp0aVV+EqtnGn1nUWnpNp+Huv8ADT9WcnT9NtbOp618Wvdd9zW51v3x4R2+ m2d3f1/Bs6Hrfay8sDg6Xp9nY0tbWj4Xq/W1Nzq1eW6s7nS9Lu9Rqja0fFy7Je56XSelbWiN XUavzmr91U0/7no6UtOladKS0qySogOn0vpuztJat1/ndXH7K9snexGEQoAAAQqBUNAAEUKQ oRQQoGQaMgVFIAKR2KgFZKAVApCkAAAAAUAAAABAABQAAApCogAAAAAAAKAAAAAACgAAAAAw QAUAQFAEgFAEgFAEgQUAQFAEBQBAUkAQFBRAUAQFIABQBBBSEEgFAEBTO9ubeztPd3teja21 fXr1LSvmwKDwPUPyt9L6edPTfnOt3P8AJ+jo/wDZ/gfOeoflT6t1Senb3NHR7bxsqvvqdfsB 931vV9J0W38fWdTtdOv8+qr8K7PnfUPyy6bROnoOk3N9/v7r+DT8rv6HyOzsdT1e49ejRub2 t316q/Vno9N6LqanqN5af8uir+YK4vUfXvVeuT073Watvbf+Hs/oafpVnW6XoOq367ey1pf7 Wr9Ff7nv9N0XS9PXa2dMr9rVV/Nna0ade5+pp1au+PmVK8jp/RdtV6jeev8Ay6KL53PQ2NjY 6bT/AFO1o2+6v8zu7XSatV9U9tCn6nb2ehWly9K0vl1YHnaNvc1106HHLojm2uk1ar6nq7aF C+Z6mjY29N18T/zHJR0shFdLZ6LToq3p0eKv5nY0bO1orp0pvnVU5GI4KI7RJK2ZpckkDOR2 KZAeKEqWuIIBGvBKO5XCwPkBlRyKYsixS8EhwBKVqSFJXkRK7gZiKE9jUexGu4GYMxSpruRz LAzYjXBoy64A7CXcqyEggKr/AO4nuILQC/QvvBFVxg4uu0dTudJu6Oj39Oxv6lGjc1afiWmt aeAMepdf0fp20tzrd/TtJ/qab69fjSqs8LqvVPU+unT0q1em9K/29UPf1r7afub2fQt/Z3dW 9qX9I6jV+tv69z49er529hv9J1mjb1PTtfpxRap+F+WiDqdP0/TdHo17mhLTnXu69U6n3epm V1G9vqOj218P/e3E1p9lfV9i6Oi1fGtzqvi39xW+LTGjT40/izsqcuvcDh2el0aNf53c1at7 e/f3MeFZHPKUPVr06U3E6tUL5szurd/NtbD21rw9abS9keN1Xp3qO9revc16N9/64jwnYD7X 070nRu6Vua9/a3/8mzuJr3aPW0bb2dC0adl6NCslphH5Tq6LrNlz/Rt3S+dC/gc2x6v6r0lN v1HrNqP2XrbXyZB+o/EiprDPz/pvyv8AW9v9fe2OpXG5tL7qD0Nj8t3bqfStvV32t1r6MD7I HzvT/lh6NuL+t2+s6d99C1L6M9DpvXPReocbXq3Tp8bjeh/UD0gZ2mt3T8WzubW8udGtM09O vT+to1L2LQRTMoqa5IKAAqghQgikKAIygDJUAiioERSCMhokFAqIiogAAoAFAgKQAAAAAABA qAiKAQAAAABQAAApABQQAUAAEUiKQAAAABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAKrhVZAB0P UfWPTPT5XVdZt6da/wAPT+nrfsj5v1H8tdTnR6d0fw8bnUOX7aV+LA+yw3hXeEeR6j+UnpHR N6H1P5/cX7HTr437uyPgeu9R9R9S1/D1XVb3UN221TT/AOqocnTekdXupPVp07Gn/Pf5ID1/ UPyx6/db09Ds7XSaMan+nr+tEeDu7nWeob/xbuvf6vd51N6o/BHs9N6P0u1Xc+Lf1f5qL5I7 +1pSX5va0JL93Qv4FSvD6f0bqNcPf16dnTwv0tX8D0em9M6PYr+a/Oal+1uV+lj0tvpd3V+t GjzV/I7ez6eol6Hq766L5Aefo06tf6OjS9UY0qhzbfS7mpxra09lVnr7fSaEo16pXCojl06d OhRo0rSuyA8/Z6BKG9tLvrq/kdrT0+2v1m9Uc2+RzrwRrBVTSlpppSS7BKl6FIgHbBP5oUl1 doCUgC6F2BCYL9SdkBIhENEigEw5JiCw6kAn8ySO5Y7oVxUDPgk0yaolBLVkDOB3iS4JLAzU GswSMAYJ2N8sy/mBkkXNNck7oDnXyKrk5mDSswGOwSGlU7FAsXCsMzYKl5A0ohhNk0zWprDo BNWnTq/W06dVMo4n0nT677Wn2ocyKqe4HR1+l9Nqt8WnwcOv0hx+hv8AzPV+wSpFwPD1emdV pn4fh1eGcO70vUJNbmy2u6k+iX1NJvwIPj93oOk1/wBp0eie2mH9Dra/R+h1T8Ord23/AKp+ 59vq0aNdNWnTq7tHFq6HptSc7S9nBIPhtfoTidrq0/8AVo/gdfc9G61fqra3V21/xPutfpPT N/ovVpfzOHX6Pq/w96fIg+DfQ9bsP4v6NvaGv2tC/gc/T+tesdI42vUuq0R+zr1Nr5aj7DV6 Z1ej9X4dXhnW3um30mt7p/iXdT9xB5XTfln61t/2r6XqF/n2ofzR6HT/AJcK3U+laX32t78G jr7vp/Ra/wBfotKfOlR9jra/Ruh1T8Gvd2/GqfuQfQdP+WHou5/aLq+nf+bb+JfQ9DpvW/Ru o/sfVeml416vgf1PiNfoOr/C6tPtr0fwOtuei9dpmNO1u+NcfcD9Q2v6zT8W1r291c6NS1fY rWpX0tex+Tf0PrulfxLp+o2mv2tEr6o7PT+vetdK0tHqfUqP2dzV8S+WoD9QTRU1yfn/AE/5 Z+saFG7p6TqV/m2/hf0Z6HT/AJcbbp1PpTXfa3vwYH2IPnun/K70Tc/tNfVdO/8APtSvmpPS 6T1f0nqXHT+qdLrfD1/C/kwO8whpWrVpnTGtc6XJHKumvIGgZWpFTAoAKAIUgAAoFREVEAhQ wIACgAUAEECAAAAAKAAAAFAhQgACAIBQAAAKAAAAAAAAAAAAAAAAAAAAAAAAAAAAzu69G1tP d3dejb21fXr1fCl7s8D1D8r/AErp509N+c63Wv8Atr4dH/s/wA+hODres6TodHx9Z1O106x8 eqG/Cuz4L1D8rPVupT07Ovb6LbeNpfpf+z/A8nZ6brOt3NW6tG5vanfd3Hf3YH2HqH5adJtz p6DptzqdWNe4/g0fK7PnPUvyh9W69PRu9U9rbf8AhbC+BfxfzOTpvRM9Tv8A/wBdtfiz0um6 TpemU7Wzo0v9511fNgr5/pfTOr3q6Nn83pf7Wv8ARn8Wel03omzpr1G7q3Xxp/RX8T2NG1u7 lVocc6qI7Ox0Orc/e1/6aL5hHQ2NrZ2NPwbO3p2+2lVf4nY0dPu6lLS0LnV/A9bY6Bbaq9Oj laFX5nZ2tnZ0OmlN8urBHlbHp/xXWrX3f6Ok7210enTprqSX7uhQjt3IWKzt7ejQo0aVp+5f ctSATAwXlKourgZiexH5NczUiVJyBKUJHguR8gIyUkvIilAJFCN3LiKkAnLYaRZx8ifcCdic /ct7oUAyvqTJq6JkCQmoIlksEauBPDFQJURNQIngkQXklcAZfuKosVInOfqBMcma+DSnMEAz zAc2KRVA51UufciVHJpW8APcKigLJZQBFrAQS8gVFS7hZABVVglJZuFkCjDwPcq7WAJMqJQv yAIaWqjSVf8AICsSUDsARU7rAUpchKoEe3t6l+lt6dXnSji1dF0ut12kvBzlVmB5+v0jpdX6 r16WcGr0fV/h789mevgqqB4Wr0zrNFdKWrwdbe6XeSa3unWpf5tM/dH0ys6FUqzYg+L3fTui 1z+c6LTpf+VR9jq6/Reh1fqa97bf+qfufePb0ak/i29D86UcWvoul1qHspeGSD4Dc9B1L+y6 tP8A1aP4HW3fRetUxo2t1dtSn5M/QNz0jpdX6r1afY4Nz0Z/4e9PkQfAaen6/pdXxaNvqtlr OhtfY7XT/lD6101NHqfUQsbkavuj67V6V1eifh/S8f7HW3ui36re6dal30z90B5XT/ln6to/ ttno+oXfbel/NM9Dp/y22HC6n0vc0vL2t5P6M6+76Z0mv9fotKfOlR9jqbno3Rav1de9tv8A 1T9wPo+m/Kz0Pdpq3+o6d/8Al2nHzUnpdN6n6d1H939S6Tcbx+cSfyZ8Hr9C1X2uq0vtq0R9 UdXd9F63TP8AV7W5/p1L8SD9SS1tStPxLnTUnxRdNex+U6dn1HpHOjR1exGdD1L7Hb6f8pPX OncL1Le1f5d1LV91IH6YtS5KfBdP+WnqehRv9P0e+ufheh/RnodN+WvS6v7z6bvbffa3Fq+j gD60qPB6f8qfQ92j6vd2Hxu7TX1R6XS+o9B1P939Q6Td7LdSfyYHcBI3In4G1yqk+NK6aAoJ 8SeUUoqCIgQUCoAAAoAAAUACFAAIoBAABQAAAAAAAAAAAAAAAAAAABFAgKAICrtVnR9S9W9O 9OT/AKX1m1t6v3E/i1v/AOqqQd5ImG8K7PjfUfy2f6Wj03o/G51D/wD6r8WfOdd6p6p6pr+D qOq3t+f8LRTT/wCq/ED7/wBS/KT0joG9OvqVv7q/w9j9N+7sj5r1H8tOu3Z09D0+10un97X+ nr/gvqeR0vo3VbiX5z4en0d6v5I9PpvSOj2a69L3tSzrdPkUeLvbnX+p73xbuvqOs186m9SX 4I7nTeib2qvUbunbX7un9J/wPd29Len4dvR+isaVCX4HNtdPr1uE23+7oUsI87pvTuj6f9LT tLVqX7W4/if8DuaNOvX+rpbXNken0/pe5+tr06dvvqfxavkd7Z6Hp9FdSe7q51v8APF2Ok17 jhfFqfGhfieh03pnw/pavh2/H6Wo9PSklCULhAsVwbfS7Oivw/E+dVTldioKiAmCQr5L2JWw BX4Qgdhh1oBFwyYKFnIEwQvuHnlgSpLKSqMtSHwBARTkriHgDOQyxShLASEiU+ZqliASuYJX 3LaRF4AkcMzFzU9iZYERHMGiW8gSvJAHxHyAmexk1m1SRf7gSjTJQ0l9CfMCJUZGUjAhMFsy cyBlk+Zrvkk1uBzKYVC1iBpvwEsgVWKlRkxc1yAX1Li5FkoBWuVXIipAVDTZzYIqkAsl/ljT kUYFXgIKC/YCc4NIlrVE1ApURIqYD2KqEVmVWAFCuFYBUqv3CV6j2Aq4ArMsUgBQq+oScuoS fkApKiKxVwBQm8BWCQGXt7etfpaNGrzpOLX0XS61XaS8M7CCu6gedu+kdLqrpb0vwcG56K1/ Z7y92/xPYUFA+e1ek9Zol6P0vB1d/oeohrd6fTq/1af4o+rKvcQfDbvpfS65+PotK76U19jq bvovRv8AU1720/M/Rn6Dq29vVTVo0PzpOLV0XTa1XajwxB+d6/Q9xf2XVaNXbVoa+x1t30br VP8AVbW7/p1qfqfou56R02pUleyOvueiUnb3acTH3JB8Bt6fVOic7f8ATenj9zVqS+lDt9P+ U3rmx+ivUdetLG9oWr7n1uv0jq9E/A58f7HU3/T9+I3djTrX+bT/ABQg83pvy06/T/eOi6Tf XOmdD/E9Hp/y09P1NLqOh6rZ5ejUta/A6W96T02qfj6FaXzoTX2Opu+i9I5+Hc39t8Np/cg+ o6f8pvQ91f8A6g9l8b23q0/U9Hp+s6XqP7v1vS70/ubqk/Pdfoe4q7XVaH/q0tfVHW3PRus0 ttbW3ud9GtSB+pxrSro1R2Itayflu3r9W6Jzt7nXbCX7urVB3On/ACq9c2KautW8uN/bT/gw P0dak8lPh+n/AC26pR/SfTum3OXt63of4nodP+WXpuv+26TrNh/5Y1oD6gHj9P8AlH6LvU0+ p6ND43dD0Ho9P1OzvqdjqOn31/491Mo5ymW9S/W0al7Ba9LyBouJMpp9yogoAAAAoAAAAAAA AAAAAUCFQBACBjd3NG1tvc3denb21fVr1JJe7A2D5/1D8rvSemnTsatzrdxY2lGn/wBn+B83 6l+V3qvUp6dh7fRbb/7Vdb/+z/AD77rOs6Xo9v8AOdX1G10+nnc1RPhXZ856j+WnQ7U6Oh6f d6rVjXq/Q0fxZ8ftdH13W63vfBua9Tvu7ur8Weh03oehV6nfep/u7dF8wOL1H8o/V+unb19V q2tGr/C2F8CfyqzrdL6V1m9+l+a/NaX+1uOG/a7Poem6bY2P0en2dOh/5VOp/idrTsbjrqjR P7137FR4/S+i9Nt139erf1cfq6T0djb0ben83sbWnSv3dGk9Lp/Tdzcr+b1Nc7j+FfI9DZ9M 29K/rdx6l+7oXwr+IHh6NjXqcONL4u/kd7p/S93VXVt/Cv3t1/gezs7W1taY2tGnb8KptZr7 lV0tr07Z0x+cerd7OiXsdvRp06NPw6NOnTpWNKg0TLAQSCwOQIndBZ7AYAysplgRQIDNQXDI vmAIWSWAc3aIVE7AR/IUxQoAhFYo+oGaEvc1jkkOoErkRwIo6ACTdSO6CIBPcUZc2JFfAEec DsL1kJQqfMCew5EMAZ5DC+oilAM15qOeCkdwIyfcvZqSOjAnmSNUNEauBnyQ1h5J4gDJPCNW +ZMzgDmVslXZDmQqKoF/AqtQiVSq4FsFMhQVTDAqQWQqZC+YFURVj3ERgJUsBUFFSLyXMgVY LFPsE6+QrsAlBYq5RC/iBVTIUVCVAlM8AWte4uFwXwAxQOPhCtBUBYvgKfkRdyrsAQsWICXc AkWkkm7KgCyVWHMESdeZAtTUEUoAOQrMdywAsExkIArFQX2ABBLhhCKQAwUBOgEKm+4C+gGX t7epP49vS/KOLV0XTalXRHhnYqQDz9z0npdVVR/6f4HX3PRNP7G59f4nskA+f1+kdTp/UbZ1 d/07ehrd2NOv/Vpn7o+qoWXyIPhd30fpdU/F0Xw99Er7HT3PROl/Z3N7bfDaf3P0R7e3q/W2 9DfdHFr6Tp9cztx7kg/Odz0Ldr+b6nb1dtWlo6uv0frdDnTs6NffRrUn6Rr9J6XXMKH4Otue iaXPwbn1/iB8Hs9R630H9nv9fsLtq1NfijudP+VvrW2419Rs76WN3aU/NQfU6/R+o0p/Bqb8 L+B09/0vcaa3dnb1/wCrSvxQHR6f8tN1L/qPTNnXy9rden6OT0On/LH0vX/a7XWbD/0rWvoz zt70XpnXV0fw99Er7HU3PQ+nb/Q3d7bfeGB9b0/5Q+j70LR6nsJvG6nof1PR2N7RvaZ2de1v Lnb3Fq+x+cbnoW8k/wA31G3qXGrS0dd+k9ftP4tvaTfO1uQ/wIP1N6o/W06tPlBa9Ls0fmG1 6j670X6vV9ftJY1N6tP1k7nT/lf6xt03NfTdQv8AybST+kAfooPiun/LVr+8elrzs7zX0aPR 6f8ALD0ncj85/S+nf+bb+JfNMo+kB5vS+ueldTTZ9T6XU+NWr4H9T0NGp61OhLWudGpP7AaC J8SV015RU08gUQEO12QAdL1L1b0705f9Z1e3t6saE/i1v/6qp816h+W0zp9O6LxudQ//AOq/ FgfYqsxWLnk+o/lH6R0LejX1S3txf4ewvjfu7L5nwfWep+q+q63o3up399P/AAtumhey/E30 vovUakvz2rRsaeFV/wACj1vUPy06zc+LT0PTbfTaf39z9PX8rL6ng7mr1H1Xee5u6t/q9X72 tzpX4I9rp/S+i2P0nt/ndS/a3HP0sehtbO7r0/oaI0rL/RSCV4PTeia3D6neWhfu7dX87Hpd L0PR9M529nT8f72r9LUet0/p+vcf7WvtoUL5no9P6WtH6z07f+mrfuB4unZ3ddXp+Fc63B2+ m9O17lVp161z+rpPb2el2Np/o7aer97VVnNLrUsV53T+mLQo161pX7u2o+p3Nrp9jZ/s9tJ8 ur+Zy2HYCQMgARjDLZVCAitAv5HYUuBLTQFaoT6ATP4k/E3QyAfknuWtSACRwVRUmO4CvDJA VrjsAI6FaAGYqMlgk5Ai9hSssuYgiu0BOzJqXNC4DgCInguKktUCNPAKR5AlguSkrUCK7knc vYO1AM3nBKRMyzV0SyAlyUL3ViXAmLjFmEAMrMgpmwBOtrEwXwRp3QEJCKn8idgJSIknJVFS YA55qVd4IsqSq0AVUXJckXZhfMC3mbFQV2FcCoLsGqFXkAqlXYiLQChP5BWCoBU4yIQXBY+g CAkEK5AtcFWaEXLKsygCXJVZjSPABZL4A7IAkWBge4FXI/mAlQQ5n5AUKoSFIAoVX+IWYKAW RgSEBRcLiQA+wXcJFyARBm0FVgGAo+RQAUkZZoFcAgC8gQsBEoBUEArAEFYFQEx2AAAQBUAJ xgLyXAGHt7eqfi29L9jj19J0+pOduPDOccgefr9J6XVVKPb+B19z0XS5+HX9f4nsIciDwNfp HUaZ+Ft+38DpdR6Xrcrc6fb3POlT9T6xclxyhB8Hvei9K5no3p76JX2Opu+idPX4N7e2+zh/ c/RHt7er9bRpfscevpOn1Kuj6kg/Nt30Pej9Df29a/z6Wv4nAvTfUdjV8W1o16XztbsP6M/S NfpXTaphQ/H8Dr7nouh/q638/wCIg+G2/V/yg6On9M63QljcXxL6pnc6f8s/Vdum9p6TqP8A Vt/C/oz6XX6Pv6U/g1z5X8Dp7/pO5qn87021ueUvxQHV0/lx/U6vi9LX52KfDv8A6M96SeN1 /wCUfrHXt7b6l7OjV/hdOvh+t2enveh9M3OroXp/0Sl9Dm6XpdO3/V9N03w8rRor7sD57pfS Or3X8WrQtlO+rcu/a56XT+j9Jt13Xq3mv3qafkj3Nn0/e1v9NrT20/pM9HpvStOmr0Jd9xy/ kEeJ0+w3p+Dp9mNKxpUI7ex6fr1v9LU2+NtT9T3tvpNnSv0k9b/zW+RzpJKEklwiweX03pa0 VenTofL/AEtR3dvpdjQ5el62s6qnPECwUShQrAIAQWLBMAEPcLgAMSS1CoICKgCrLYAmAWhE gF5I0VACId5A4AnfIwKACWoSpbZGbATmUTElwFeiAnsRW/A1ySK3AiySaclV2TmoDyTBReYA y/cUnkteSARXFRlif9wMwI5Lm4fZMCY4IozQtKhrIE+pA1CbDvcCe9iQXmUR2YBvuZ9zUcEV 2gIvmSIoatgy61Ajpe5DWLGX4AirQCgoBKYRPKLkjpLTyBHbyZawaauQDmSo0i9wuxV9AKFE ckXa5dKq0AXBYC9yxQApsy0yRKMlm4FVwnSBT3KsgFkvlk9ix/yAS9xdAqAItHxchdPzAqyF cc0KvoARUpIXgBZ1KqJkVi6bMAByVAIoFkclVLgVWcB+KEfYtPIBFV2ByAKrEVSgEVEgLIFx 3GJC8SQClCC7gFcDwEAyVEQApMVwFmCx9QIi+1hWoAe4wXkgDwIuAA5FyhZAhQgAQEsAAB7g UgCVACA7AAAEAAHkAMAY7gZ1aNDvp0v2MfmNr9z6s5UEBNC06VGnSkuwReQqAQpAAQQoUCcg Bd1QAQIoE+4LyRfQBRBRIAECKyZAeCWkq7DAE82DsKVC7gR+QkXMBZAiXciuVWglr1AckrzJ U8Bq4GZYfYqjgewGcSORzFRzIEiLDuwKXAlYgXAinYCIjo+S4yIpUCZuTmpVBOMAMkDFWBMQ Cw65IBMEpZIpK3VAHgnuUjVQIqZkjt2Kwon+agZiuRURRuRaXyBOSN9y3ngnNKARxyR2LiII +4EgdxWCYsAw6Gb0NckwBzfUWoFcsAVX7hBWKgKvuERFT+gFVqlIoLpSAe47IeCgEWK5ChOw TyBaQ+4umRWwVIAiqWwr/YuGAsy47BRHcIBfwUkSyqwFXIQQAq+YC8lVAC9pKogiKkAuF8wo KgAXawTCAqsBdDwARZCHkAEr8BFAIZbBALVCyYRVQCIBXAFUhZkIAMDA7gBkIIVAFC7CIAAK wAACQAAAFIACAQApAACAACgQFqgF3AQwAGHI8BeQAA+QDwBgeQJgoJgAgPIwAJFDSIAyTwXz ckAPYYgpAJguYCoKvuBEhkdglkBkmKlIAUVDsJwKVAnuM4C4YwBAGF3AlYCqg6phcgSkUuPk OURqgByQvuQCBRXuXHfgnjAEDTllknvcCZZO2TSJigEXlD7hJWHIEi4sE5sTNwI4DsOwAyEW laEWQJzAihXYlgM+8hyW0ySFyBPmRGvBKVh2AzGCReTWSfzAEZIoy4qyRcCUgy4NLMEfgDmS fJVmpFFSpNKLMCrzUtpoSJZVAFXAX1CoEqAVlXa5EUAslVAgrdwCKMdgr+AL7wWCLnJaq9AL 7UCJnkvYAioLkAVO/YfyggkBVmuRXswrBICx2LMogVQLpswPqVeAGkqERIhRcAVEXzKsvAAK z4BVVAH/AMAYgc1AIvKCDAIEKl3AonuRBWAskCKgCzkcgRQAAACKvkAACH4hcAFYAIAMgAEM XKgBAVDkAEgAACCAWAABK5EXBAAVgUCIC0oAAXkiAAewAQBYAFkgKAwQAAEMk7gVQQqz3F5A gUjDABEsXuQAsBj8ByBBAsAIEWF5JiwD5EqWJqhHsBMVMu1jRHfkAnBmDVuCNATDVyWNfgTm oElMmS5J9QHJOSqxGqgPBK1yW+SICERrkys2AYdR9xgO3gCQ4Iy4qTNKQBMcEpUr8kUwAx2I 0WsgDJCvAuBkYqOS2AyrEqW/sTnAEoTlyXBPABeCXVhggHOshWJWYNIArNmlcyqItAKiqhE4 7yVVAK7ZbUQVu4WQKohwwipUIu9gKoqUzF8mkqAEvkBkqfIFQ7D2KgCGLhVKrAMfiVLuRSVS Av5LzUncq9gCKqTSRS5UAt5CuRFAqsAvAWQKhaiZFYuO4BWgpFQruA5ARdIDA+oGACqIcAqA iVLCtS8kVgKIoFYAAAgCKiIoAcgAEPI5CrIAALICaFQwEAAyEAHcBAEEAACCtAwAwF5AwAAi gABBAARIpAACCygGLgDlAByMAByAAIAMAKiHPYBgLAncK4DFx7l5J4AYFwrscgRUH3A/mQEE KSUA/AlixVkWQE3qPcKw+UgSMChIKBE1MB2kEAmGGvoWLzgisBEBHzFAISC8iQJVMiXJpWbZ MAQmalyTkCRnkc1DnkICeSR5kuGH7AR2JhwW5FwBCVTLSwm4GcMF/ZRldgLkzIsKKQDoZpJV aJ8EiQIk4JY06Iy7ASqki8GrXRAOYqsyVsWMyBUqBW+wyE1AGlewAVu4BXKkgnHcK4FLWpJp BUryBewUBQRAVWdblzUYkAXBV3wSFxBUA+hckU1KgCKqSSklgBeSr5kVyq0gFYq4JSpoBTsV EVuxVkChEnBUAQCzAAvYIhVcAVWIigEMiRyAFIkpEACo7jkqAdgB2AKxcD2CswCAmAAAAFIh 7hWAXLBEUB2CyPoAGAAABOS/cAAEAFqAYAdwAACAQAAXACBgIByAgBMiAqAB2HIHYAAAIEMd y9wIAuQAHgIgAeCgCILIAE9gBIBWIUe4EV4QdriwVbgRXjsFYMRQBYn2KyUkCYFbB9iVvcBg e9xzDIBE6jnJfLJyAmhJLmSR7gR2uRqlDVmT5gRSlYJ3EC2AI2QrsTFAI0vIeZATl1Ak/Ikr yi/xEKagZoTya57kYEw61Ji0l+kEAkEfc0prJAJWCFnFSe4EtNSfUK5K1tIDkjVS+SOItIHM psXNSWVTSAKeCryReGM0yBrTdjyRWkqlAVZKrzFCKSqmPAD5FxQlKstACgqvcitUqyBUF5A5 AvzZVYi8l9wCVIsWCJFSoBV2FlyRFAq7gR3kLIFUISMFQBFqRFXYAlUAtwInehpcolAgKuRg LM3Fs0ALhloMMIBjsELVCsBQEEAQ5YXgAABZgMFArABWkDAVwHYSBkAEslWQAQBALgK0AYAU 9gEEAEYAwAAABABVAAAAgAAAVgAACAIUgcgCZGGIHbACAi19iYAUL2GSYAAe5PuAQwUnPIBA YuQCgcgCCcAACO5bKCQBO0FYXkYAnIxyB4AjuEUjAeSFWWTIBsnkvyJzkCYJY0T7gSCKiKSF UBHexGi9lckPkCOwZYrBO6Aiom7kfJc9iRcA3QitJY70IAI7Ff1IrARk5LdupKRIEXIS4KrM lQJyhWLBkfkCXQKZxcBghZ4VyO4EnsTm0lXgjdQIRxcpOeQObtLKvsNOUOQLeSon2KBV9Rgm mJKgKs3KRUKqAEXNiFWagXAWWTkq8gXkqyZ8GooASqVUUQEKgEUipQsAFHJcXC+4Auksk+xV eGAXsW1QqyMAF5L4Ii5ARJUF9wA5KiVLgArBBeQrSBeQFIsoAQAigF3FiIq5AIIABFHYfKQu ABVcLJFZlwAAoAAXYIcgVZCsQoAID6gATBQABEBQEEAXYETCtUC4CsAAWQAACAAXAAAAAAhc AFkhUAI7QAEAyEAAIqJlxAgCDkeCgSxOS/UAOw5J2L7gT7BeRmwAOrIyhcfICYlgZAEyFQUS Hv5AE5HmgwAVCSUjAYIxI+wDDI7lJV/xAmBkEjkB5IXLoTFgI78sFJNH2AjDE9h/KAlMMmbl oRoCOiHuyqxEwI4mgtNB8hAEJaklxdeCKFYCUAVogMCMilOqEh+QI6IjxUvYjuBKEwXFWR5A j8Eu7FVcoAcyKlBPIVAL/MlWSYaKqgVOLFVyKzCtAFpFGykqyzXsAX1KgshWAqopGSKEi2Au WVe5EUAslVvJOxpAOQRUKrwwKrAKchU7gWmB5CtJe4FVrgis/qVTFAL2HgKwAIpFUuACKu5F zeCvkAmEMjTYCgciwBZKiIt5hgPsATsBcMXCHkC/cgFQKBgdgCCvIwMAPYICgFIUASSoDIDA BOQKhhhAAFYdggGQAAAADsBkAQqCuwgCAQoAIUAAAAwAMARDuAgCyEPsEAGRgAQIYAFJcpMg PIIMgBBSYAIjKrVAEHI+owBGFyKhWmIAd2S5cE5oAJkrVakAEKoJFZmoAzyaVogjoBA55Q7E QDkYFakrDAOLVIUkgTwqgV9wrWYE5YfaaDBHYCckqafb5EAjvgUiR3JMXAWJPIjASyBJuydi hoCcikAijgCVsiWwXDkntYCErNjX0MuWAXsZLhkA5k6FRFZwjWnIFSkfzQis/sX7ICq4jAU3 AFSoVWZF5KBe4TjAViJAa7IqiJgiiHwW1wEotmRXKqIAi1IuLIuAKqYCuEsMICp0oMUJCgoF w7FvULkgGlRBVkESAqKRVqasAQC8hAEXBCgFaoWUFbgICiAkIAIpEAKiIqHIBcSBdDwBUTAQ 5AoCsAC8hAAMFTIOQCKAvoAC+Y7DAEKrD3AABAAgguAAAABDAGQAAAAD5gEAAAwEAAAi4ABW GGBOQBgB9gAAQp7hDyBCkKAIUlgIWRgAQDDCQBAKuQBFkDwMfcCOwQj5CvgAQsUqAJgAgDvY malUE5AEnkJDAAkANgSvJC+5FUAskx2FpAB/zBKilXYc3gCE8lEXgCRgleSyiVmAJWtAi0JZ ASlaEwVeSZbAj+wxBeTOGAgiibFihAIsk+ZWnwAMwkHaofYn2AEQYA5VkubhQ0NNZcgVfItC Xuy4qBVOUFUezCfIFzwLLyEVAEaoZVogv2AqsFKTCyF2YFRSWKqcAC4Irl5qgKikvQIDV1VI ikJYFgLUtCLNWHYDSBFyEBrAXcLuHewDSVcJinAUVoAipSLKkqADTYIAUlu5cAAik8FQD8CI KwyBQMFqBFVFRABQMUC9wA8BAAMD2CAoQIrAUDAAXCQAABWACgHcAEB5AAAAOQAAQCABAe4A IIYAAIBgEgMACBZAAABAFkAdgIXBOR2ApAAJFy58BEwAx3BSAKjIIwCAGQFzKs7lADsSLlwy ZAYJlwVeCAPsRxVlVmyZAi5GKsripmbgJHYqI55AhJ9i4gmLAPJFYs8EqBBgeyDAmSOS9iTO QH82IrULlkXdAOSY7B2j6kinYB2RM2L8iWYBwyRSgoqonsAuS0uC4wRcQAceTOJLfMEfkCe9 SMosBlWFEXwjOHIHOshKsDTe9rACqtCq1SZWCr7gWqyNPciyXyBaVCsFcqsAXguSIq7IAmXF OQqBSBVR89yr6InzCtwgKvHsWSW9yoAuYKKwMAVWgDTZj6gWqQVwLgVTyXEES4L9wKqoZqEF MWAqzUKqJbNigF3KrEqVAEmEBpAooAA7Aexc1AIiahiyKgHcAdgCACyBQEMAQoQAcgAC8jBM FAAisWAGCAqAeCFQwAgDAALIQADAHIAIAIAEAAACsAAHuACAQBAACBDAQCMhDAAAVIwLkcyQ AO4KQCKY7F/EiKgIrBlIA5DYCQE5Q9w+B7gIldiBhZAdye5eSYAEKpggDEkf8wLB3AYI4SLz YyA7DBeaGcdgCSgmSqxAIMl5qRfYBBO1UH4uAJ3J5NPgjAisS7L8iQBK3IXA7SgIRURcUIs/ QA/qQCagREK7MngCPJC96kd7ARkxBezJNOwEJyWPcnHAHMrlU3JJUBUXkyog0lCAqCCyy1AY 7lTwSO4QGlgEQVQNe4TJ5LpwBc0KRKFQqf8ALALsWxFeS4YBDkq4AFVwnBFdl8gVdhgIIC+S kSVy8gNPJrDWTKVCrkArVdCrJCoAi0JgKALewVhiwwAwUl6x4L4AAWTqEAVZHNwhywKshDkA EPcIICoYC4kKwABAAAAKrCxMlAIAAMAdggJyCjwA5AshOAAWQAHIWQACFQAAFwsgPqLAAAOQ ACAAVAJ2AKxSAB7AIWQD3JkoAgRQBEAEBEXBLFVrAT7AVJgCgKxACD5FeQBP5gKggYAWRMiW AGCMpPkA/ElC8kAVqjMc08GqozyA8SRdiwT7ALEK6/iRMASKWguHMEAi8k94LfJHYAoJOSpU mSRcBUlSuLSSAJ9xiA649yfgA7Ilyx5EgZAySbrkByQXFIuBOYMo0idgJyFYXZHaJ+QDky0i i8gcqpJfBMWoVAVP5lIiqfkAVSohUBVZheSKswaXtAD+UVUlUJli1AKlwWj9yLs5ZVACmWVB RAQGlSQvoiYKrgFHJp9jLt2KuZAJlRC5AquPIHewFXYs/Mi+oVqgVfUsRciuVWAKxSe5UAxw EoEBUkCjPYACrIIuSqgBUA7gAiqwuT3AqkYGAgKnclgvkAHNSkWQgLQYAAIe4GGBEXAFOQKF kCQCAABAEAqApUAMAC4DAEEQFAQQABWCAEKEAQAALsFkACDACAIBAAKjkAQYKAIUIewEGAAA GSVAUGAs9xgB+BC4JhgPoOVyA8oCL5DAEgRcCKQPaB7gRgeB5AhHcvcASkCoaoTwwFK5Iv8A guKki4C8oisXGSTyAyTDL3JHHzAGZuVVpkj7OoCOSRSUXzJFVMCdoBaXM5qBKikQXEE/iA+5 OSvJOyAncjuV9yTjIEpUe6A8gTvQyaszK5AYmCUrBe/JOyAnkk3K++SRiQOa1iomGwr1A0rX HsFaCruASL5Ja8wXyBVao8BBcAXvkVHgqswCyVWgi73Fa4AqKqWJcqAqKvYiWB5AqRVVBPsR TwBa2KrkSoyqAKFkmCqswBfmVWcVIu4TAebGlbwTx7hAUKcgAUeAggKh7hZgAF2Lglm6BTYC 8kKrj2AKxbInkAXwFAXkLIBcDwPYAB5A5AqsAshAFwAEAUAIYAFJQK1wKiWqX7gCYKAgCCAQ AAAMAAAEMAAPIQAIKEAA5AHuAJHcvJOwAcgIBcAYAYIUgFRO8gqsAIF3AEyWCK5VW1wBGUgB RUEVrDAD6ADIE9wXDIAD+wVgBC4ZEOQI7jNEMSwgJJEXyiAK8gfyicyBFDcBVQlz3EUAj7D7 BWDAjiInId61SLky3UBh0fkj8FJ3AlbkxWTSpKJPgA0TmBm9BMAQkOXUuL2IgI5mJEYKTPEA J8MzWCkAlSVuUYYEwS93YVqT6gObJGYqXIAjuR0LBMAcyvQLsRVLZvkCq9Coin/cq+wFQ8Ck XKvNQC7lwTBfcCq3AV6k57FXzAtWyq7yRZgaQNKI4CuShebsCq1wRF9gLgLsLAC4cyVQQLz7 AVFXYidGVAUK5FBV5AUjgtYAU80AvLkdgqpiKAVCtiIqyA0lhksXmKgMlTvUgAqCRF4AFLkg UAVWJgfMICqwIVAFUFVglgCWbZUT3AFwAgACyAAwEAmAKiYAFBCrIBUAAAYAUcgEAggACABA ABFQQe4FoRdmUAQAAFYciYQ5ALuEAADuQAUe5CoCYAAEUQVE9igRZHuMDACCMuGgBMheQPoA xepMD7jABEKiYYAjdyrPBACnkfygQAORNA/oBleQPBMRACyYcQMVIvqAdqiYFMEzewD2J25K qMnKAeSeExUKIAR+lWnBMeRzwgBKK4HYlJmQGHUit3FgBFMCoIsgJJT2KzIB3I7FUol3WwBk DXDgj8gLIzgvzJXuBPLIizAkDlWSqJlkmnkvcCr25LUiU2pJfIBeDSuReQrAW9f5RWRfQoBV wVXJhlVrgVBWIq4KrAVJTkqsSaO409qgVf7Fx2yTsVUQFXgERe4F7WFiVKBUArhVrwBpO5FT gXXYYAunJSabXKgCuWpMQXFwC+whkRYAv3LppJFcY7gUSFGBkCj6kKqWAhSCwGlUmKhAAVBE wBfACHcC0J8grABJSIAUBAB4AADBSfcAKSFYYYQBFIh7AWboECAoIvmAKMEAFwQFQEGAPYBg KgwEACsAAHIACgwCc8AMgvJEBUyBjAAEX1AFIPe4YAYCD+gB5IkL9guwBUkdgg6ATACiKACT IwM1HuAdmiLmRHzQoAqQYD7ICQMD2IgCDYJTgATM4LWxAFuURZrUs92OAJRKpKu4sAI6DlBd /YjAUsMchWgiblq4AhaxYk0gCO8IhXXuyVmoBcCyGImpE5lATzQWkP3IwE3Mya5M0qBVHBmk ciQ/AEwR8Iq8GXFa1AMnMstldEA5VUqTh0In5NKtWAmhr3MplioGl2BEXEAWLiXkiZV2ANml UmAoXkDSgaSXkqAZvJVXkinwigUvZGVwiqwFKiIK1ZAqsVWxBFMeREqoFwVck7lQFVyqplFX FwLPktbGbGvACYkKxMFQFXcZCsP5YFGGRWC+gFRVfkiqVAPcIKgitACLgklwAVEO5FWSqwAt CFgBAqAgACAAqJTAwBVkEAFBFktAEgAAghkdgAwPAAIJAAWxAAA8AAB3HIAXAKBArBZABSkA PIC4wOSYAAZuEAVaFoQABmAhWKgQFVLEwAtMBAY4AQPIwS8gAO7kAJgjsAvmAV7oMisHMgOw dBYjAJ1CvZDkmAHIxkEwAc9hUl6D3AVxUi7sOlggFlcmLj7BKlQEXsSMjsSHYA+CFX1I6/Oo DnkMRcgDsSC2I+wEbh3CsGAInQkp9y2/4JiwCkPJLMZIsgF4MrwVv5BRNADZnmxqDPPIB2gn sWcGezAXRJKRqjAy2JUTIhYIBzJUNKpmSq0gVclRF2HLA1HmSrM8EVKTcJXAq+Ze5MFTyBVU LyNNoKuaALoqjmCeAvmgKssuSd8lWQKu8BSlBNLL5AoVyaSrsBVQLuExdUAvJU5Igl3kCqwX 4l7sifIFXITAzhAWncDkqoBULEVqWLfuAxRlIEBYCY5CoBUCeKFvUBMFREAKORggFwE+SIqA FRIoLWAKCySMjkCoKwVKBABQBAUisB2AqtAIUBAJgoBcDACADkIKIAcgFQEAkUAQoCsMDDAA SSQLQlS4ZO4FFh4JkCpEKsjwBLlBFYAPsB8gFeQLEwA8AAAqqPkBgAPDIIXuACtwGSlWXsBM /cAOl7ATyOYKieQBJwMRFCO4FySlalilyZ7ATEhfYqsZi7kCu2CTCgKikAQWktkzNkBbIn4i ZFYAVhkeATHIC/Yn7PdFZKe4E7wQ05knyAmSdiwiOzUAKJEXbJUqEnMgHBJ7jDcD5AT5kv4L ZOCeEApFSYbGKkdqgSR9Q1yMARkoV54JjuBLd+CY7lxE3M0fICsBh2kmAOafBV2oTDuVcAFa aFVhSArAaVCoyigWLofcIJgWpcEwEBrTmGERXaKA7mk6diWQS7XAuS09zP4FWeEBaF5Igu4G lQJIkzQuGAXzCGalwBU/YXVSL5FUQ4v9gKsj7hBd2AVykL2AqsEAgLYYAqBVFh3JpAFRVBIo wrAW1h9yfYoFVifYKzCtAFV5uLAIAuASSruBSFIsgCjFCAVCoHNgAQEAUmC+SAW5FNSkQFqQ qGAA5A8gFYAmLgXAm/IsRAAXA9wEELQgAt2SpQIUAATDCyAAC7iACCyQWuBSPMjAQAeQicgX JMgAOWEMMdgJyAKACSMNoctWAYYwwRAGmEL0bDv2AmHQmS1qSquAHKAuBIJktLk/m4CaEpUp IALmSFihMAMEt47F8My1HIDBC9x5AguE6Eu+wC7JPcpOQI2/ci9yzwOewEVfPglZgKwAWTJe YdhzLIATcyTDgWRLAHaxPJcUJPgBZE9xPFSXuAwZ+pcMjkBQl7FZnIHMjSMK1yoDWJL/AMET LpyBfAXkmmqL3QFVpKrEVFeUVTIFm7CqoUkTuUCoq8kXAUyBUVEzAxIFRVZkValQFVUE7qQh ZMChMYFQKrQWhPxFwL5oVEuoyFj7AWyLexFkIC9uQu2AuwwBpWqCK5VZgFRsqJ5AF79guBSo AobuRS1JVIBWKiAC+RQKY5JZdwNeSXHkAFYqpZjFw1SKAEEMACkC9yxwBAgrsvYAh2JhyFYC juQoF7SSwyJp9gEAAC4FAiAMAqsQAC1IBQSgAvJBPIAqIAAAQWQCyBgAFyMD3JUCkAwACyEA CsTAwOQAVchZJIF7EpJeCfYAqCRZEAfUWGRhgHwyYYyOQBMQhPyHIAg5Iu1wCvIwIhACIdi5 4JhwBFIxHAXJOQCtUdsjsSoC5K1L7wTyBEnktiTli0gHkkrDHMB2hAR/OSMtyTKqAVhPYP6y QBKkmB2glwEViSdi2kmKgS1LiaAnIEpSSUNU9yICO8ojsJQmtAJ8h7E7KoquWBJWSO9A5HKA 5vBVwROgA0u4RF4LgAsmiLLCh+4Gl3CpYioVXAqKRL/cLhgaUhOj4JZFAoX1CuPIFgqcme5c ObAWcFTIneAgKrlwRe5VHyAaSkpgqdAKvkEQIDS7hXIkVMArFRFaQqUAtVepUTAUKQNBERUB R5IVWkAhI+w8AVZQmgCdAKgqdyLKCcAWw9xm8hfQAikC8gVUFCIoERUyJF5gAArBcgMFoTA9 wKFHJHYs3AeB7kLjwAWRNxki7AUe4WQrABRZIUAgEMAAPAAe5MlWQAXAA5AckjCLgATBcEAD FB+ICyAwBhkwBckm4QVgAi7AAET+hc+SeAC5CYEgE20RC4sswAJRyL8jkAJghMwgGGF3CsAJ 9S5Jj8BjvgAnKdSDyLgPwInRsFxZATsiFkgD7GYKlUASXAVgHYCZGIYzUjvcA/1nWxJuyk7A MuCcyi+CYAiizFbD9kl2wIslnsRcEdgKmyXuKqpMzIAjgr9zK8yAsRNTElpFSdwJXklJLLgn YBThGYjwW2IJ7oCE9y8mcYA5l59irNRgfICrk0qzFTN8FVrAUqcEmpVaAL3Kq+xlZyXNAKmX OSd0VUAqdAml8iYKgLmcD5hS06jSBfYvyIrFQFTo0Fcn4FVquvAFXzC4ImX3AqoVU7kXDC8U AqFwJ4AqyF8wu45yBU4owTFSqeABoyvYqAsjAIBoKZCtcRcC8vAyReBF6gW3Hcvkl6hXuBea jHI8MIBgqjBEFlAX2FqhR5F0AxkKwQQFHJEwgKTBSACqhEVcAJCgdggCEUE0AFxcEQASEUgF UgCwDuCIAUYoQAWMj3BFUBI8AAB2AAIXQFmATCySR7AAOwQD7gYI7AWSYH3FWACoKkkC9iID MgCBsAFJMdykQBtEVaCwVO4BkV2UnnABeCBtjABNC+CCgCIVQ6wpDJFQLNzOaspPIDNyAKYc gFwSRbkOQJV2qFElq+5mwDkWYxyRxDYAP2LJnvIB1IW7glgJkk4diz4JNQHYgwyYqAJCuF3C dHQCYkX4CyRugDFKEE0I33AVXkjH3JlgGZ9i1mhMuoHMp5NLgyrUD/WsBVk0QLgC9zSuyLyE BVbuVdiZCrKA15KjOnuVAW6Kv+TKojU08gFnBUTBVQC/zAmskUqZKrAV9wrEnkrpkCqgRF2L LiwFRU6ECAtKoqIoqX3AclT7kVy19gEQVZcGVSVcq5AqkLsE/YYASahmUVPz2AqE0JFABc1K ieC+QL7jmTKNAJaCsMiaAUJhPIAclwQAVeQqEV2ADsXwEMAFZoLlgYuBe4ViLIATgexZoxTk AggAHuAgAXIQwACsEIo4YgAuzC4CCyAwArBAKWAgAPcLm4FQAJcAWSUFwvIBWAQkBWHBEX7E ASB4uPIAOgVmSaMCt8k8hqg7AESfLE9ggEDAlInkB2Jkv80IgFu4yLsiyAr/ALivEoJwrkww ACFAFCWwBOEAJ9OwUDDkA/JIFlUMCPNETs7lULBHyBVyZdnyWvNCRcAySXyiN1Ak3wLlpNyO QFK1qT3uFaA6AR0syMsqX2ZAIx3FxbwBDODWLkwArgkkkYATQzSYdykccgQNXY9yOAGCVgO/ JAEmcVKyc1A5vuVWIollVQLpuXS7kV6FVv5qAXk0rGVa5UBpVngEVyqALSK0KmZViryBU83L LfuS5VUC0yE60J2dwBpNBTIwFENgMGqGZhFTiwFrEYK3QitEhAaXkiBaAM0L2ImWYQBJF9yL 6BMDSiXEBVTRF3wIuBZ4KuSeQpUgVAILNAKmXuZL2+oF8hOMk7DIGleoU/MIk5AqtBcdyILI C9cFTCqObgVDsRdgpkCqooBgBi4TjIHIFVwRW7hSBcVCGRYB9wB2AAYAFE9yIfygKKVJi4zK AqsFYlgBQSR2AUGGEAFajAADA+oAD3EXCiCK8gXAwQAGJ+QXAyAWRkYZJAvI7kC+gAK4ViAU k0gYH1AVmMCkAjuAkizAVrFdoAgxgEAPgUGSdgCFkJUDkCClR2ABkz4HMDFwHPciicovtBHY A6KCWyJpGSU8gPYK4y0H7AT5DwFmSZsAT7EZSZoAIgh/MgEyTHkTgMA+9DNJ4LXKJzACn/BJ oMEAPwTtcryZmoC5HxJckdK5AKZsR9g/JMAPdk74Qx3JQC4uYd3UvYlPIDBn7lVJxBH4A5kX EVIiq7AqhFTpZEWS4sA5NdzK8yVXAqNZMq4XkDU5KSrQVgNaY4wFKJzBcPuBeSqVkzJbVmwF TiZKqolwuAKVdskX1CqwKuMFVSK/JU1MyAWZCCd2hi6A0hJEEBYsWtZsMEThQBq0IYZOwV4A qv8ActeCLsyy0gBfqSjC8AWQiaclwBaCyJbuWsgIgqt+JFeBGGBee4hRCCfLCd2BVdhMLIVg L4BFa5ZAK4FplgBS5SeB2AuByRdypyABCx3AIqieSIICoE7jwBVNQTkVAuB7hO9CAVDuJi4y wAyROgwwKKRFyFQD7jHJFQYAYAAABQLAEFUShyAy/qM0JWB7gLBAAFNUKDknIB0XYnvQfYvY CK1VUTBc1JIBjI7koqgEScXAXkAhN4C/5I7UAYHMCAvIEdqjzgISAoiTUWVQ6qikBkAisAnA TpclWmHYBNGRuB2FmAJ3wBmoBX7EuK3JMcyBSUgCWBGCqhlVAZJ3LhEpaQIxIJQBDuSlhQmA CRFMNFdiZoBCd2VwSAFCNqLl5dyATDI2XLqR+QJyZpcsogDJnBfJLvgDmU1Kv5ZJ9i4AqKqM nguQLZFRmSqoFKuCJqfsVeQNIi4giZqoFTrMhR3JJVNeAKoNYpEmEyr2AqfJeSU7lWQCsyoi sXAFVRWSFXZgVUliIZE8FAK1yrwQvcCiJdGQqfIFXkR3IrlVgC7lpgiKuGgLITmpEAKVUIsh AWkNDmBgWQFVgqkzQJAWiGQs1F1AFQkmSruBWRX5gqyIAItiJilwKKEKnVyAkKwQQFkK0GS4 tAFJ7DBQHIIoqxIFAkLAAewFAH0CCyF5AKRgK1wgCsRFUAArSWxmSzQB+IJdABIYCmoBUHKC E0AQxQjbVgnUBmQOQAQxMhTFKDNwGCTWGTFfkPIAKigEQFJM9xF+ORgCq5KXJ4ACtQG06SJq BOUMQMUCayA8kWYY5HuA+wrUnI5uA9yUmxSVyBUSyIFaoC1yeC+5FYBT5klALMACTNUwg4Ai QtPAj5D+VIEb4FsDurcACOskLJMOoDklIdBiquRu4Eu7Cbhsl04AUVMAQRgR2GKAipZAJ/4J jIj5ojt+iA/lExJfsZn5ALsjsMOpG69gJzUYYWakA5/HIRF5KrvwBUnwVN1InQeUBpfMqkyr 0Kl8wLT5Gk+TNyp8sCplRlF0ga+wkLyMAVeSq5lOhdIFU1TKmRUqVAE+xUyc4gAaTVQo5IVS BcdxUIAWQnRoitGCgL+Cr5kLj+AFV4KmZThC9LyBSua1MyaXyAY/EqUTBFwxMAX7ldSYCjyB bTFwgTEoDSh3E37EV4q2JaAuLlVCSy+wBKEKwRPx2KuWAGLhZyPYC3KZKgLI8ok9yqIAJsJ5 CoTIGlHIXcncLsBfqFRETo5E8AWcEvQJ/MSBY7lRFbsPsAQ9gFDsAAilAAWQArNyAeRfAoqA AIBEBUFexPcAWSAIB/MhAYuAmg8EkTmALJM8DmHUKwAIYIqNgMsSSoAZkRcKQAQmSCFDAfiE PcUAnv7jsMBgJh2klxd9govUA+COw9wA9yewxAoAFbE8jEgTvLTLmbkyxQByJ8ATMgStWTkT QP5gKVqTFw7gBT4WT8RPYjeYoBZ4qZwXuydrgSe4oime0gXBE3GAncjdGAwRzwWkE7ASWTgY DzwA9yYgVrQidGAJNCvyZeQI89iB2Cp2gCKtg4Y7yQB3JNLMuTAHOrWKr0Mqz7Gk21yBVOCq hEFRgaWOSqDKoXTZsDVJCnJDSAabMqaM3lmlaqATDLN4MqayaVJAqKZXks/MCrguOCLIVLgV XuaM4kvIFC74JNyq9QHdFrySe0yUC1wVGVJV9QKshETqXPAAq8IiyFUDSFK8cE7oAaToLsmA uJApVahJoyrgAEELAWeBzT2IrBTUCoKwwMAVWcixK5sOwFYngL5hAXkq/wCTJVyAQC8gCyVO jrJlFQBOjDdmFaahsC0sgqsk+ICjkC9h4IVRgBjIQFAEBMhVkBiokKbIAJ7jkUsGAWSFkAQq sxgifuBVFYqI7kTGQLAuTSxgBIoMDyBF3tyFyH39hegFyRsT3JUCzcckQdAHIwQK7kB5AABX EupMiAGKBhOpJpYBPLoAiTQCruRBdiPNLAVckYGQE3DikkFewDsJxkmQuYAITXktrmUBSPkO Se4EL7h3JyBTM1cQPceQHsQXtAoBF5E4GYJkA6tkxcCb1AjQV6iSeGAx+BJUgmbgPcj+ZbUl kmnIBkxCwLEpgAyZDu6mWBfczn8SmZAVJFDU9zPcCEkS/JH2A5ioiyVeZA0uaQzSeXRGU+S5 fAFU+S47GSgXJdME/mQrXA17lRABe5cECqBpSVV5Mp1vQqAqtW5bES4CuBV9irwZ7mpeQKFU mCoC1KrOhlWKuWwLyEFmBnIFtkWn6EvctAKqoE5KgKuzQWSYGQKrQWhFzkJruBV2KoRFVjAF VgiJj6gakT3Iu4UoCqZoFwFyHZ1AqBJKrAXFCTCFMgCoLJJdRkCrAshgZATWKFm5FTuwrQBV YLPIpUlANRklBpivATAVQkISBbCa2IJAoki+oXuBVIx9yXRUpASQpFAF/mB9AqWACK3HkEAv kn3EgAguAvcnuBSUkewi4DuPxGR7gWaEfIkdgCJQuDNQLZBWIALmCRKHcVryAJeyHKC4ALwJ gInuAwUgmAFskvVkXJWAJ5GRgBghbkcYAXFApihPqAWX8iKIL+BAHNbEn+JaEryAvyJJW2Ao qgKZcdxddhhgLO5ORCiZCfIErUc4E1I8pACT7gVAmLolXYroSb2AXsTmgJ5AYvIChEdgJe1y MJ0JKAQS3BWRNAT7EzcqmLmXb+ID2I7UDtUmLgE1YPhBUuZrDA//2Q== JPEG MS_ARIMO_FIT_G2_M84_ET_ETDD.jpg /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8S EhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEU Hh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAAR CAQABAADASIAAhEBAxEB/8QAHQABAAICAwEBAAAAAAAAAAAAAAcIAwYBBAUCCf/EAFoQAAED AwIBAwwNCQQJBAEFAQABAgMEBQYHERIIITETFBciQVFTVnFykrEVFhgyN1RVYXSRk5TRIzQ1 OFJigaOyMzZ1oiRCY2Rlc4KDoScoRMEmCSVDRVdG/8QAFgEBAQEAAAAAAAAAAAAAAAAAAAEC /8QAGREBAQEBAQEAAAAAAAAAAAAAAAERMQIh/9oADAMBAAIRAxEAPwC5YAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAB5uSXu3Y/aZrlc50hgiTdV7q+RAOxcrhQ22n64r6qKmi3245HbIfdDV 01dSsqqOdk8D03a9i7opB1DTZBq7fkrK5JbfjNO/eNjV5ptl7qfOTdabfSWu3xUNDC2GniTZ jG9CAdoBeZN1Ir1P1DqGV/tTxKPry8TLwPVvRF/ECRKa92mpuDrfBcKeSraiq6Jr93J/A9A0 HSrT+PGoXXO4yurLzU9vLM/pZv0tQ34AY6qeGlp31FRI2KKNN3vcuyIh8VlXBR00lTUyNjhj arnOcu3MhCl9vt51UvTrHjbpabH4nbVFY3dFlTupsBM9rudvukKzW+riqY2rsro3boh2zx8Q x2341Z4rdQRI1GtRHv7r176nsKqIAPPqb3aaa4NoJ7hTx1TtuGJztnLv8xqeqeoVLitO2ho2 pV3mpTanp28/zbrt0Hi6X4FWyXF2XZe91Tc5+eOGTnSJOlFQCVgD4kkaxquc5GonSqrtsB9q qIiqvQh0LZerVcpZIqCvgqXxqqPbG7dWqhFef5zdMiucmHYMj3zKvBV1rF2WD5k75ummOEUW IWhImL1aslXjnnd75XL0gbeAq7Jua1nmZWrErQ6sr5UWV3awRJzq9/cTmA9e6Xi12x8TLhXQ UzpV2jSR23F5DuRPZJG2SNyOY5N0VO6hC2G4ves8v8eXZgj4aRjuOkoVXdrUJphjZDE2KJqN Y1NmoncQD6Bw5yInORjqVqK+iq0xvGIkr73Om3C3ojavMrt++gG/tvdpdc32xtwp1rY/fwcX bJ/A9AjnSvT72Ekkvd7ndXXqpTeSWTpb8xIwA6t0uNDbKRau4VUVNAioiySO2Tdeg6eT3+24 /aprlc6hIoIm8S99f4EPwU9+1du7amubJQYvC/eKNF5qhN+ZyoBOFHVU9ZA2elmZNE7oe1d0 UzHWtdBTW2hio6SNI4o2o1EQ7KrsgA6FbebVRV0NDVV8ENTNzxxPds53kQ1TUzUCixamSnh2 qbrULwU1O3n4n9zfboNf06wW43G7ty/M3uluD144KZ67pTovcQCWkVFTdF3RQGojURETZEOt ca2noaWSpqZWxxMTdzlXYDLUTw08D555GxxRpxPe5dkRO+YLXcqC506VFvq4qmFeh8bt0IXv F9vuqN3fZsc6pSY/E/hqK1vMsip75m3eJbw/HqDG7JDbLfGjY427bp3QPYANaz3MLXiVqfV1 8qce35ONOdXL5APYut3tlqYx9yroKVr3I1qyO23VehDtxvbIxHscjmqm6KndIUxjF73qDeY8 my3jp7YxyOpaBV3Y9Olr/KTVDGyGJsUaI1rURERAPs4c5rUVVVEROlT5mlZFE6SRyNa1N1VV 22Qh3Ns1uuVXh+I4S1z134aysbzdRavdTvgSvbbxa7jLLFQV0FQ+F3DI2N26tXvKd41PTfDK LErWsUburVcq8VROvTI7uqptgA61xr6O30zqmuqY6eFvS967Ih1skvdvsNqluFxnbFDGm/P0 qpDdFFftXrutTMstvxeF/abf/I26WqneAnChq6aupI6ujnZPBIm7JGLujk+YzHTslupLTa4L fQxpHTwNRrGp0Ih3FXZFXdAB0Ibzaprm62xV8D6xjeJ0KO7ZE7+xHWpeossFemL4pF1/ep+1 4W9DO/znp6VYD7XnPvF2qHVl6qU3llf75iL/AKvkQCQQDDW1UFHSyVVTI2OKNquc5V6EQD6q J4aeF008jY42Ju5zl2RDr2m6266wvmttZDVRsdwudG7dEXvEMX2/3vVG/vx/GVkprHG/hqq5 vMqp5CWMKxm3YrZWW23Ro1vTI/uyO7rlA9sA0XVHUCjxelSjpkSqus/awwN5+deZF5gNrqr1 aqWvioaivgiqpV2jic7Zzl+ZDvkTaa4DcKi5ty7M5HzXOReOGmeu6U/eVFJZAHDlRrVcq7Ii bqoVzURVVURE6VUh7UHO7jf7w7DcIa6aocvBVVLV26l30RQJStt7tNxqZKahuFPUTRe/ZG/d W+U9A07THBKHD7bzL1xcJueepd752/PsbiAOjdbxa7XweyNdBS8fveqO23PKz7MLZiNndW10 qdVdukMSc6vd3EI2w7GLzqDemZXlzXw29juKkolXdr299e8BNUb2SRtkjcjmOTdFTuofR8wx shiZFG1GsYiNaidxEOXLsByeel7tK3Jbalwp+vEXZYePtt/IaNqlqGtqlTHcdjSuvtQm3U2r zRNX/W375zpTp8+zyPv+QTOrb1U7Pc6TpiX5gJIAPOyC9W6xWqa53KobDTwt4nKvT/BAOxcr hRW2mWpr6mKmhRduOR2ybn1Q1dNXUzamjnZPC73r2LuikIRQ3/V6+JNUJLb8Zp5N2I1eabZe bdPnJstNvpLXQRUNDC2GCNNmtb0AdoBV2Q0zUjPqDEqJGJtU3OftaWmbz8bu8u3QBsdferTQ VkVHWXCngqJU3jje7Zzk+Y9BqoqIqLui9BEGnmEXK93pMxzRz5ap/bU9K9d0havcQl5qI1qN RNkRNkA5MdTPDTQPnnkbHFGnE97l2RE758VdXBSU8lRUSNjijaquc5dtiFsgyG8ao3d1gxd0 lPYo3bVFa3dFkToVu3eAmS1XS3XSJZbdWQ1UadLo3bodw8TC8Zt+L2WG20EaIjGoj391699T 2wB07rdbdaomS3GshpWSO4GOkdsjnd5Dyc5y21YpZ5LhcpkajU7Vic6uXucxF+PWHINS73Hk OUtfR2iJ6PpaLfdrtuh3lUCb4ZY5omyRPR7HJujk6FPsx00EVPA2GFiMjYmyIncOZZGxsVzn I1ETdVVdtgPvc6FuvNquE8kNDXwVEkTla9rHbq1U7ikWZ9ndyv11kw7BkfJUqvBV1jOZYPnR e6bjphhFJiVrVFd1eumXjnnd75zl6QNxAVdk3NdznLrXidmkr7jKiO97FGnOr3dxNgPVul2t ts6n7IVsNN1VeFnVHbcS/MduGRksTZInI9jk3a5OhUISxLHr7qLf4sqyxr6W3xP46Si33aTZ BFHBCyGFiMjYmzWp3EA+zhzka1XOXZETdVOHyNYiq5yNanSqrsiEOZ7nFzyi8Ow7B0c9VXgr KxnN1JU6UTvgStbLzarnI+O318FS+P36Ru32O+appthVBiFobBF+Wq39tNO73zlU2sAda5V9 HbqR1XXVMdPTt99JIuyIdXIb1b7JbJbhcZ2xQRNVyrvzr/Ah5WX3V27I+TqtBi0Lu1ROipTf mVUAm6iq6atp2z0kzJondD2LuimY6dmt1LardFQ0caRxRtRqInzHbc5GpzqgHJ0Ir1aZblJb Y6+B9ZGuz4Ud2zV+dCP9TNRJKOp9rOLx9fXudOFUavNE1ebi376Hc0owD2ASW8XiZ1ZeqvZ0 0snSigSGAdevrKeipZKiplbHExN3OVdtgMs0scML5pXtZGxN3OVeZEOtarrbrrB1a3VkNVH0 cUbt0IZv2Q33U27vsOLOlprJE/hqq5vMrlTpZt3lJWwnGbfi9kit1BGjWtTtnftKB7gCrsho mpmoFHi1O2lpkSru9R2lNTpz8Tvn26ANtq7za6S4R0FTXQRVUqcTInO2c5O+iHeRd03ToIm0 1we5Vt3TL8wlfPcZOeCB/OkDV/1UJZREREROhABwqoiKqrsidJxLI2Nive5GtRN1VV2IfzvO LlkN2kxDCWulqHdrVVTebqLV/wBZF7oEp2+82q4VM1PRV8FRNA7hlYx26sXvKd803THB6TEb c7eRam4T7Oqah3vpHd9TcgB0rrd7Za0jW410FKkruBnVHbcS95Dxc9zK1Ynan1dfMnHt+TjT nVy9zmI5xXF75n96jyfL2vp6Fj0dSUCruzm96/ygTXG9kjEexyOavQqH0fMMbIomxxtRrWps iIfQA6Ed6tT7p7GMr4HVvDxdQR3b7d/Yj/U/USSgrG43jESV97qF4Gsb0MXynZ0r0/dY5nX2 91Dqy91CcT3v6YkXpYnzIBIwB5eTXygsFrlr7jO2KJib/Oq94Dt3K4UVupXVVfUxU8DU3c+R 2yIZKSogq6aOpppWywyN4mPau6OTvoQdSQX7Vy7JVVPVKDF4X7sanRVJvzoqE22mip7bbYKC lYjIIGIxjU7iIB2QAAAAAAi/LM/yy2XeooqHE+u4WKqMl49uIDcczym14va311xma3ZPycW+ zpF7yfORbY7NfdUL4y+5GklLY4Xb0lJztcrf3k7pojavUC+5Y69ZZiK1NJEu9NRPf2rXIvM4 kan1KzGGFsceCoxrU2RqSbbAS/b6OmoaSOlpImRRRtRGtamxlke1jFc5URE6VXoQh/sn5r4k /wAxTVtRc51RvVtS3WXFH0XVeaSdsnO0DbtQs+uF2uS4jhCdWq5O1nq0TijY1eZU3ToU2bTD AaHFKLqsv+k3KVN5p5O2Xf5lUi/BL5kGJUCQUeCMfUSJxTz8fO9/dU2Xsn5r4k/zFAmI8++3 ahs9vlrbhUMghjTdVeu25FvZPzXxJ/mKR1l931Jy7KIXXTFXx2OB+603H2syd5QNyqZb9q3d 1poOrUGMQSduq7tfMqLzKi91CYcasdvsVtjobfAyKNibbomyr5SKLZqBlVto2UVFgLIKeJEb Gxr+ZEQ7PZPzXxJ/mKBMKrsiqRvqTqI21yewePN69vdQvAxI+2SFV6FcneNOzDUnUqpsktPZ 8LVlTJ2qPSTnRO+a9pxW5VjDXXCuwtK+9Tr+Wqnu7ZU7ifwAk3TLTt1BUOyHJH9e3moXqjle vE1ir3ERegk5OZNiHeyfmviT/MUdk/NfEn+YoEuVtVBR0z6iplbFExN3PcuyIQrkuVXvUO9v xnEOKG2tXarrVTtHN6FRrk7pqmpWVao5U+C3UuKvorcv9u5sm/EbHi2W5BjNrjtlo0+ZBC1N 3K1/vnd1QJSwPD7XilrZSUUfFJt+UmfzvcvlNm6EId7J+a+JP8xTrXTU/Plt8zaPCP8ASFYq R/lF5lA3XUrPrfilErG71dxkTaGmi53qvkNSwHBrnf7qmXZu9Zql/PT03+oxnSm7V7pHWEz5 pS3qfJMmw/2SubncUCSP/sPISM3U/NET+5G3/cUCX4Y2RRoxjUa1E2RETZEPpzmtarnKiNRN 1Ve4Q92T818Sf5imsaiZ9qld7R7G2TEH0rpXIkkzZOdG90DbNQ89rrndFxLCmrPXSrwS1LU4 o4vnVU6DY9M9PaLFaZaideu7rOvHUTyLxbOXp4V7iEX6f3rI8PoOpU2DNmrJfziq414pF+c2 jsn5r4k/zFAmJE2Q1/N8rtmLWt9XXzNR235OLftnr3NiPJNUc3Riq3B+JUTmTqikaRVWoF7z B99yzEVq6WJ69b0b39rt3FA3zHMevupl5ZkeUJLS2aJ/FSUa7tcqp+0ndQmq30dPRUzKemiZ FExNmtamybERxamZmyNrG4MjWtTZqJJ0IfXZPzXxJ/mKBMRHGqOo0VkVLLZGLXXmftWxxdt1 Puc6Go5NqXqRNZ6iC04UrKqRitZIknOxe+arpxU5XjtRJebphyXC9TrxPne/tmKvSgEo6aad vo6hcjyh6Vt7qO22VeJkaLzpsi9CkmtbshD3ZPzXxJ/mKOyhmu39yf5igSnfrvQWW2y19xqG Qwsaq7uXbf5kIZ3v2rt6fE3qtBi0D9nqu7XzJ3OFe6abmF31JzHJo3XTFXw2OHZyU/Hu16p3 De7VqBlVtoY6ChwFsFNC3hjY2TmRAJax6zUFlt0dDboGRQxtROZNldt3VPSId7J+a+JP8xTF XaoZ2lFKtNg/FNt2jeqLzgbxqTnVuxC2qsjur18nawUzF3eqr0Lt3jSdP8KumUXdmZZuqvfx cdJSdDWec0jnGZ84ffpMkyzEVuVd1ReoxyP/ALNu/Nt5CSU1PzRE2TCNkT/aKBMEcbI2oxjU a1qbI1E2RD5qqiGlp31FRKyKKNN3vcuyIhEPZPzXxJ/mKaRqNlWqWVyU9tpsWfQ2zi/0pWyb 9Ub3lA2rKskveo97djOJcUFtY7aqrFTtXInSiOQk3B8StWJ2hlvtsXOiflJn873r3d1IoxPL cixm1Mt1swJkbG7cbmv9+vfPX7J+a+JP8xQJiRNkPFy7JrZjFpluNznaxrWqrI99nSL3m99S Nn6oZtwO4cI3dtzflF6SNKir1DyPL33fKcTdLQQqjqWic/tWuTugb1Z7Ne9V72l5vyS0mPwu 3p6bnY56dKb98m230dNQUkdJSQshhjaiNa1uyEQUmpGYU1MyCDBEiiYmzWpJzIhk7J+a+JP8 xQJhc5GoqrzIibqveIi1Kz+tuNyXEMKTrmtl7SepYnFHGi8y86dCoarqFn+qd2tLrdY8SfRv l2R07ZOdqd1DHp/d8gw+kVlNgrZauRN5qjj7Zyr0gSppdp/RYlQrPUbVV2qNnVE7+27b91V6 DeETYh3sn5r4k/zFOU1PzXu4T/MUCVbvc6O1UUlbX1EdPBGm7nvXZCFLjX37V29Lb7a2Wgxm CT8o9yK10qp07L3UU1LM71qVl+Qwx3HFnw2OJ35Sn4+1mT5zdbLnmUWigZQ0GAshgiTZrWv2 AlrFrBbcctMVutsDY4o024tu2d86r3T1FXbykPdk/NfEn+Yp5eU6lajz2eWC04UramRFaj0k 52/OBuGqOo0dhalmsbevr5UdpGyJOJIXd96HU0r08kpKhcmyd/Xl4qO32cvE2PfuIi9BGOnd XlePSOutzw1Lhe513mqHu7b5jfeyfmviT/MUCYjFVVEVNA+aaRscbE3c5y8yIRF2T818Sf5i mk6l5Zqnk/Ubbb8XkoaF2yzSNf0p3W/xA27MMtu+c3R+KYZxMo9+Gsrdu1cxelGOTukg6eYZ bMStTaelj46hUTqsz+dzl8pFmIZTkGLWtltteAMijam7nNf75e6p7XZPzXxJ/mKBMRp+omd2 zEre58qrU1z02hpY13kcq93bvGjXHVDPesJ+tMI3n4fyadUXpI+xSbNkvs2SZTiHshX8e9My R/8AYtXuIBIuDYVdMqvKZhm7lfI5UWnpU5mNTubtJjijZFG2ONjWMamyNamyIQ83U7NGoiJg 6IiJsiJIpz2T818Sf5igTA9yMYrnKiInSq9wifUXUOtnuHtWwtvXN0mXgfUNTijh7/F3jVM/ 1A1PulmWgs2Hup5JV4ZJWyc7Wr3Tr6e3fI8St7UiwZk9wlTeqqlf20ju+oEnaYae0uNwLXVq rV3Wft5ppF4tlXpRFXoQ39OZCHeyfmviT/MU4fqhm3Au2EbrtzflFAkbMMntmNWuStuM7WcK dpHvs5695CKbNaL7qpeY73f0lpLDC/ipaRd2ucn7yd00Za3UC/5a67ZViKz0US7wUb39qiov M4kam1KzGGFsUeCtYxqbI1H7bAS7bKKmt9FHSUkTIoY0RGtam3MdnuEO9k/NfEn+Yp5uTama jy2aohtWEq2re3Zj0k52qBuGp2ocNiRLVaWOrrxP2scUPbKzfm3VO8h52m+nU8de7J8tkSsv FRs7hVd44+9si9Cka6d1mXY9US3m64b7JXqZVXrh7+2jRelqG+pqfmviR/MUCYWNRrdkRETv J3Do3y7UNnt8tbcJ2QQxpuquXbcizsoZr4k/zFI6zO8alZhksPsjiz4bHC5HOp+Pdsyd1FA3 Ctnv2rl4WjpFmoMYgftK9d2umVOhWr3UJhxewW6wWyOht0DYo2JsqomyuX5yKLVn2UWuijoL fgDKelhThjY1/MiHb7J+a+JP8xQJiNR1Gzi2YlbldK5Jq1/NDTsXd7l7nMaNV6o502mkWDB+ KTZeFOqL0kdY3PnE2RyZNluILcKtH7wQyP5otl5lQCRsIw265ddmZfmqu6mq8dFRLzcDV7j2 98mKnhjhibHExrGNTZrWpsiIRA3U/Ndk3wjb/uKc9k/NfEn+YoEu1dRDS07555WxRsTdznLs iELZNll61Avb8Xw5HRULV2qq1U7RW9DkRyd01TUrLNUspWC20eLPobev5w9sm/Eh72IZXkOL 2llttWn7IY0TeRzX+/d3XKBKmBYba8UtbKSij4pdvykz+d7l+dTZ+hCHeyfmviT/ADFMNfqh nnWcqU2EbzKxUZ+UXpA3bUbPLbidA5Xr1zXPTaGmjXd7l8hpmC4XdcouqZdmzle93PS0vQ1j F504m98jvEZ81bf5slynDvZC4K7ip2SP/sF+YkZup2aIif8A4Rt/3FAl+CKOGJI42NY1qbI1 qbIh8V1VBR0z6iplbFExN3OcuyIRJ2T818Sf5imi6kZTqjlcsNvp8WfRW3dFmc2Tfi76fxA2 7JMpvOod4kxnEuOG2NXhq6z/AFXt7qMcndJJwTELZitrZSUcSLLsnVJnc73L39yLcYy6/wCN 21lttGn0dPAxOfhf75e6p6vZPzXxJ/mKBMR4WaZPbMXtT664ztbsnaR77OevzEcu1QzZGqqY RuqdCdUUjWas1ByHMHXjKcRdUUEL94KJ7+1VO4BvVksl91SvLb5kSS0dghfxUtLzse5yd1yd 1FJpttDTUFIympYWRRMTZrWpshElPqXmUULYo8FRjGJwtaknMiIffZPzXxJ/mKBMEj2xsV7l RrUTdVXoQiPUDPLjdrmuJYQnVq6VeCWqROKOLv7r3DU9Q891SvNrS3WbEX0vVXbSzNk50afe BXzIsQtqQUmDNlrJU3qqnj7aV3fUCTdM9PaDFaXq829Vc5u3nmkXiXiXp2Ve4b0ibEO9k/Nf En+Yo7J+a+JP8xQJVvd0obPbpa64VDIIY2qqq5dt/mIWnqL7q9en0lJ1Wgxind+Veu7XTt/d Xumn51eNS8yyKGOvxZ9NY4kRzoOqbtkchvNnz3J7RbYrfbsBZBTRN2YxsnMgEs43Y7fYrZFb 7dA2KKNqN3RNnO27qr3VPUId7J+a+JP8xTysq1M1JmstRT2jClZVyN2ZIknO1QNt1Q1Gis70 stiY6vvE/aNZD23U9+bdU+Y+NM9PJKCd2Q5RI2uvdT2zt+2ZH3tkXoUi/TqryrGpZLtX4Wlf ep14n1D39szfpQ3tNT818Sf5igTC1qNTY+KiaKngfPPI2OJibue5dkRCIk1PzXxJ/mKaXqTl 2qWTdRtdDiz6O3udtVPbJv1RneUDZ8wyu95/fHYphirHRNdw1Vaqdou3Ts5PmJIwLDrViNpZ RUEaulXtpZ3873OXp5+8RTh+UZBitrbb7XgTGIn9o9H88i989rsn5r4k/wAxQJiRNkNO1Kzu 34lb1bv1xcZE4YaZi7vVe4uxpFdqjnjaSTrfB+KVU2anVF6SPcSmzdMglyTK8R9kbgrl6k2R /wDZpvzASNp/g1xyK6szTNnOklcvHSUi+9Yi9xzVJhhjZGxGsajWomyNROZEIg7J+aeJH8xR 2T818Sf5igTCqoibr0ET6lahVFRcPanhqdd3GbtZahicTIkXmVN06FQ1LP8AULVK52h1vsWI PpZZk2dO2TnYdbT26ZDiFMqw4M2aulTinqVf2znL0gSppbp7S4tTura1eu7xUdtPM9eLZf3d +g3pE23Ie7J+a+JP8xTiTVDN0jcrMI3cicydUXnUCR8yyi14tZ5Lhcpmt4U3ZFxbOkXvIhE+ P2O+aqXtL5knVaWwwv3p6ZN2Oftzoq99DRpavUHJMvkvGV4m6ahhcjqWje/tWk3abZVe7tUJ Q12NpaqeJmzNnboiJ0IBvFFSU9HTsp6aFkMLERGsYmyGcAAAAAAAGN0ELl3dExV76oZABjWn gXpiYv8AA462p/Ax+iZQBi62p/Ax+iEp4E6ImJ/AygDF1tT+Bj9EdbU/gY/RMoAxdbU/gY/R Oet4NtupM28hkAGLran8DH6I62p/Ax+iZQBiSngTohYn/SOtqfwMfomUAYutqfwMfojran8D H6JlAGPreDbbqTNvIcdbU/gY/RMoAxdbU/gY/RCU1OnRDH6JlAGJaeBV3WFir5o62p/Ax+iZ QBi62p/Ax+icpTwJ0RMT+BkAGLran8DH6I62p/Ax+iZQBi62p/Ax+iFp4F6YWL/AygDF1tT+ Bj9EdbU/gY/RMoAxJTwJ0QsT/pC01Oq7rDH6JlAGLran8DH6I62p/Ax+iZQBj63g226kzbyH HW1P4GP0TKAMXW1P4GP0QlNTp0Qx+iZQBiWngXphYv8A0jran8DH6JlAGLran8DH6Jz1vBtt 1Jm3kMgAxdbU/gY/RHW1P4GP0TKAMXW1P4GP0TlaeBemJi/wMgAxdbU/gY/RHW1P4GP0TKAM aU8CdETE/gcdbU/gY/RMoAxdbU/gY/RHW1P4GP0TKAMfW8G23UmbeQ462p/Ax+iZQBi62p/A x+iEp4E6IWJ/0mUAYutqfffqMe/mjran8DH6JlAGLran8DH6JylPAibJEzbyGQAYutqfwMfo jran8DH6JlAGJKanTohj9ELTwL0wsX/pMoAxdbU/gY/RHW1P4GP0TKAMaU8CdETE/gcdbU/g Y/RMoAxdbU/gY/RHW1P4GP0TKAMS08C9MLF/gOtqfwMfomUAYutqfwMfohKeBOiFif8ASZQB i62g3/sWeiOtqfwMfomUAYutqfwMfonPW8G23UmbeQyADF1tT+Bj9EdbU/gY/RMoAxdbU/gY /RC08CrzwsX/AKTKAMXW1P4GP0R1tT+Bj9EygDGlPAibJEzbyHHW1P4GP0TKAMXW1P4GP0Ql NTp0Qx+iZQBiWngVd1hYv/SOtqfwMfomUAYutqfwMfonPW8G23UmbeQyADF1tT+Bj9EdbU/g Y/RMoAxdbU/gY/ROVp4F6YmL/AyADF1tT+Bj9EdbU/gY/RMoAxpTwJ0RMT+Bx1tT+Bj9EygD F1tT+Bj9EdbU/gY/RMoAx9bwbbdSZt5Djran8DH6JlAGLran8DH6ISngTohYn/SZQBi62p9/ 7GP0R1tT+Bj9EygDF1tT+Bj9E5SngRNkiZt5DIAMXW1P4GP0R1tT+Bj9EygDF1tT+Bj9ELTw L0wsX/pMoAxdbU/gY/RHW1P4GP0TKAMSU8CdELE/gOtqfwMfomUAYutqfwMfojran8DH6JlA GNaeBemJi/wOWQxMXdkbWr8yH2AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAcI5FXZFRT5lVUa7b9lSKdKchu1yza50dbVLLBG5 6Mavc2UCWQccSKm6Bq7gcgAAAAAAAAAAAAANP1azOnwvFpLhInFPLvHTs353P25kOxphdrje cKobtdo3QVNRHxujd0tA2hV2ToVQnOhB2fapX64Zc/EcEt0lXURN45amNfe99DJp7qffaXLI sRza3yUlXUO4aaaRf7Xv7ATaEXnI61n1Kgwe3RQ0tP17c6p6Rw07V2XdehSOXajakYk+G8ZV ZKhbTIqLM5y7JA1ejcCxYOhj10p71ZaW6UrkdDUxJI3bvKd8AAAAAAAbocKqJ0gfL5YmPRj5 GtcvQirzqfZEuqlxuFNqhjdNTVLo4JY3LIxP9bnJWp3fkY9151agGQHG/PtzfWcoAAAAAAAA AAAAAAAF6DjdNtwPieeCBG9WlZHxLsnEu26mRqoqbou6EVcoWrqKenx5aaZY+O4Ijtu6hJNl crrXTq5d1ViAdwAAAAABHuYat4tjGROsNxq2MrupdUZGvS48bHNd8Vrrg+jusrbY/faPqir2 4Etgh246+4zSXPqaN46FH8DqpN9kUlCzX213eyx3i31bJ6J7eJsrejYD0gRDfddLHSXWajt1 OtelO5WzPbunAqdJuun2d2HNKFZ7TVskkYn5SNOlgG0g06l1Cssma+1OaVsNwcirGxV53Ind F71Dslty2nxnqzZLhK5GujTpai9CgbiAO4B0L7d6Cy26SvuNRHBBGm6ue7Yju366YhV3NtEr KuFr38DZ5G7RqvlO9rNgVZndLT29K9YKJFRZo0/19lPE1WwfDLVpLWwz0cUb6WjXrd++y9UR vMqASulfRrQJXJUxLTK3iSXiThVPKRtW654hTXVaFG1UzWv4HTxt3jRfnUjd1xvFPyRYnyTP jkcxjYpF6VartjfMO05xZmkvUesGOdVUnVZHqvOr3N51AlGy3Whu9vjrqCojmgkTdHNduajn eqmNYlVpSVb5Kqo23WKn2c5P4Ed8l2apo0yqzdWc+kty7U7FXfhTnOhyeMctuTX6+5BfIkrK 1lZLCxz16GIvMgEy4JndhzCmWS2T8MjffQyKiPb5UNpK211qp8S5Rlohse9NBcp1SojReZ2x ZIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOEXv7HIAAA AAAAAAAAAAAAAAAAfEyfk3r+6pVyhz52EZdd5mW6prHq6TZIYlf3fmLSS/2T/NUhLRuOOXPr xHLFHI1XyczmovdAgzOeVVmzopaWlsyUjF5kfJGrXIbvojr1dJMSkfd7bW1tSsvM+KJXtRO9 uTjk2lGDZGrlulkjkc7pVOY9TA8IsOG2h9ss9HHFTufx8Kt3KzlRp2d18X7n92cOzwvi/c/u zibOtqfwEXoIOtqf4vF6CDVyoT7PC+L9z+7OHZ4Xxfuf3ZxNnW1P8Xi9BB1tT/F4vQQbDKhP s8L4v3P7s4dnhfF+5/dnE2dbU/xeL0EHW1P8Xi9BBsMqE+zuvi/dPuzh2d18X7n92cTZ1tT+ Ah9BB1tT+Ai9BBplQkuvCom/tfun3ZxKmF5AmQWOO5LTy0/E3iVsjeFU/gez1tTfF4vQQ1/U m6z2DC6+4UFIs80cao2NibKu6KCIU1EqXakayQY5TTI612ThrZXb9qqtXnQnGwXq0XSjqILT IxzKVitcjehvMVY0ozmjxvEb5Pc8en9mat8vHK5V34FVeY9/kn5xTVd7vNrjoZWLWOVUcrt+ HZFIrYuTixjtQb7MrUWTqsqcfd23U7OvbGN1pwJ6NRH9Uf23dOpyd5ooNTL7b5Xo2q6pK/qa 9PDv0mbXKqpqvXHBqSmmbLURyOR7G86tA62s8TJtZbJ1VqPRGRqiL0b79JIXKNjZJopfEexH p1BvMvlQj3XCVtDq9Y56tepQqkbEevRxb9BvfKTrqWm0XvDZpmNdLA1I2787udOgDnTW8Nsm kFrrXQyzNZAxEYxu69HeOGauUipz2i5b/R1PY0Rid2NLR1WPZHUzFRHJ08xufUIPAx+igEaO 1cpdua0XLf6Op8pq5T789ouP3dSTeoQeBj9FB1CDwMfooBGvZcpPki5fd1Pl2rlL/q2i5fd1 JM6hB4GP0UHUIPAx+igFSOUZr9f7BdbdJj1HLCxWbvbUMVu67mPAuVXkNesMV3xuofxbIrqe nVxYrPdMMSzaupqnILcyoWnbsxE5j0sawjGMfibHa7VDC1qbJu1FAhjUHL4rll+L3yOiqY9q dzlifGqO+o8XUDlLXmySLBaccqncDduKanVEJA1aa1urGLo1jUTqTubb5ySLtjdkvVEyK426 GZqsTfZiIEqlWNcpPNbvqFSS11Nw06OXighRd1/gWATXftG7Y/dF5uf/AEZxtFu0TwG3ZHT3 63WdkFXEqqi77p9RIbaWnaiIlPDsn7iFTKhWPXbdyIuP3T7s47ia3RKn6Cun3ZSX+tqf4vF6 CDren8BF6CBcqIezdF8h3T7so7N0XyHdPuykvdb0/gIvQQdb0/gIvQQGVEPZui+Q7p92U5br bBt21jun3ZSXet6fwEXoIOt6fwEXoIQyoj7NtP8AId1+7KOzbT/Id1+7KS51vT+Ai9BB1vT+ Ai9BAfUR9m2n+Q7r92U+ZNcKZjFctiuqoneplJe63p/ARegg62p/AReggPqv+ca+o3E7gtBZ bpDU9RXgkkp3Na1e/uQrhHKrzajVKSqtsVZHvzuRqucXayKw2+9WWqtVVTRLDUxqx6cCdCmj 41odp5YVbJS2RizJzq9V35yplQpnmszcssljnqLNX081PWJK7igVEd5CRrdrvQxW+BnsDd1V Goi7Urtjva/0NFQ27GYKamihjbcWoiIxCU7JT07rVTqtPD7xP9RAuVFrNb6Zzd0sd1+7Kcrr bT7c1jum/wBGUl3renT/APgi9BDzbzdrDZ3RtuM1NTrL7xHNTnB9Rkut0SIq+wV0+7Kbzp7l 7cro5p20dRTdT7k0atVTZIY6SWJskcUTmvRHNXgTnQysjYxqoxjW795NiH1XCusFtvnK5a64 08c7Y7bujHt3TdFM3KyxCxOslvmp6KGila7+0gYjV6TZ6HF70zlJOyJ1JIlt6wWPq23Nxd47 nKMx275BZqSG00r6hzHdsjfKFd+gxLG3aRRsfZqJ6ralcr3RJxK7g99v3zSuS1XMo8Er6aun VaCl417deZqbqSxRUNUzTdlvWJUqUtqxcHd4uDbYinSrAL4mnN9sVyhkopq1jmsc5PnUDE3U HDn3Csjx7EeuY2yK2eVaTdHu8vdPF5PtySq1zyaSmonW6B8LNqZGcDW/wMmAXvNdPKSqxuTA 6u5r1Veo1bUTZU6EU9HQ6w5s/V2/ZTk1rlpIa2NqRI5uyJsB3eVXYaO3WT29W6VtLe6LZkbm rwq5Dz+SfbIspp5tRr4+KovNW3qKxPXiWJGrzORO4ehnWNZLqJqnT2+6W+elxamaqSo73srk XmUw2vEMh091fbLjFBNLjVejIXxM97Bt0uUCfkXvnJHc9+zBmq1HaI7NUPsMjHLJWJ7xq9xC RAMVXPFTU0k88jY42NVznKuyIiFc79WV+tOojLRbFmixi2SJI+ZOZJXouzmr3FQ2zlSvzifE vY3DbbUVck+3VFi7ib86Gj4BlWd4Zi0Votul9xRU7eR+/O569KgbzylKCltWiktvo40ip4XR tY1E2RE3N0xFFTS6l5v/AIDf6TwcitN11L0kmoLnQSWmvnaj0jk51aqc+xG9ry3VGx4rNhs2 G11bU8KwQV7eZrW9CLsB63Jw/Tud+f8A/Sna5KH9hkH+JTetTZNA8CrsXx6qqrzN1S5XRvFU 7psqKaBS0ObaRZlcJLRZKnILNWvdN1OFNuF7l36QO9qBzco/Fd/DuLBlf9N8XynMNSlzvKaO W1xUsiPo6SVOdvf5ywCb8+4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAA1HV3KpMPwatvULGyTRIiMa7o3XmNuNS1axRcxwitssciRSyIisevcVOcCELRp/qj kNt9tEuQVVNWzr1anpWTqkStXnTc23TnVavtl39p+ocHWNzYqRxzon5N/lcp6mhF3zKPqmM5 TaaiNlG1WwVbk2a5reZEQ2rU/T6x5zaHUlygRJkT8lM1eFzV8qAaRrlkVzoL9ZUtVW5sE9RE jlY7tXIqkywOVY27/sopU264dqbQZ3a7DcElu1jppWPhqGM7WNqLzNVS2MCKjGoqdDUQDIAA AAAAAAAAAAAAADhycTFb302NNwzBafHr7V3SKeSR1Q5yqju5ubmAAAAAAAAAAAAAAAY6iCGo hWKeNskbulrk3RTIANeuWHY9WUVRTus9G1ZmK3iSNN+c8DS/TGzYTU1tRSQsfJUu3Ryt52+Q kAARJqXo7Dfb97Y7Fc6q0XNWoxy0zuBHJ8596ZaPUuPXn2wXe41N0uirxNdOvF1NfmUlgAaf qhgNrzqzJR1qugmjcj4p407drk6OcjW1aD1lVcoFyPJblXUVM7dkMsnE16d5UJ6AHXttHBb6 CGipmIyGFiMY1E6EQ7AAAAAAAAAAGo5VhVPfcrtt8lnex9C1WtanQu5tsbeCNrE7ibHIAAAA AAAAAAAAAAAAAAADxcqxqgyJtI2uRVSll6qzZO6evTxNhhbEz3rU2Q+wBwvvVIJ5UCuSvsXC 5W8/c8pO69ClXeVLn+PRZJbra6qjWoo38Mzd+dq7ljPriyOOfoO3/RmepD0TWNM8gt2R4lRV 1smbLC2Jsaq1e6iGzkaAAAAAHy5jHKiuaiqnQp9AAAAAAAAAADjhbxcWyb985AA4c1HJsqIq HIAImybIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB5uTXu hx6yz3a5SdTpoE3cp6RHXKLtddddLbjT0Eb5pU4XdTZ0uRF5wI7frpllXJLcrTjbZrJFIqOm c1UerU7qISrpnqLY84tvVaGbqdS1E6pBL2rkXyLznh6F5bjWSYxBaaWnp4K2jjSOemexOLdq bKqoeFqnpNUwXRcwwGf2OvMa9UeznVki/M3oA23UvP3YndaCiSnZKlVMyPde5upv0TuNjV76 IpUTLNQp8oyuyWG8WqegvdNURdVWVNuqbLzuRO8W4pv7NvmIBlAAAAAAAAAAAAAAAAAAAAAA AqonSABxxN75yiovQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAiovQoAAL5AAPl72sarnuRqJ 3VU8+rv1opOepuNPEn7zgPSBrNRn2Hwf22Q0LPLIdfsmYH40W77UDbgarHqHhUipwZLb3cXR tIerQ5FZKxE61udPNv8AsuA9UHxHLHK3ije16fMp9gAE5+gAADx8uv0OP2iS4TwulYzpa3pA 9delNlKIcuHD/Y/UGguUcfPc5eJVTu85Zxustqcm62up+sijXvJbBmFZaKqro5IWUa8yvXp5 yxKm/QnGmYzpvbqJiI3qsTZVRO+qbm+ESY/qzaYqG3ULLbPzRsia7fm6NtyVaGoSqpWTtarU em+ykVmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAOHsa9iseiOaqbKi905AHg2jEscslymulstdPSVMqL1SSNuyu36TuWu82+ 51VTS0kyPlpl2kT9k7ld+ZzeYpEmhf8AfvMe2cv5VvSoEgXPCsZuF5jvNVaaaS4R7cNQre2T Y2BqIibIcgAAAAAAAAAAAAAAAAAAAB8SSsjYr5HtY1OlXLsh4ub5XaMRsc11u9THDFG1VRHO 2V3kKb5rrNqFq1e5rDgVJUR23jViyNZv/HdALWZhqvhOKq/2Vu8bVb0oxUcRfeOVlp/E9zLd LNUqn+yU0jB+SfW3CNldm14kq3S9s6NJF3Qlyx8mzTK1sZ1O2SPeibKrn77gR/7rmxfJ8n2a noUHK2w1duvWSw9/aJSSuwfp98kN/wDH4HRuPJ701rmq2a0rt+67b/6A6Ng5SumF2ajWXZ8c i9xzNiQMczrF74ze33anfv8AtSIi+shy/wDJNwCo4n2yOemkXoXqi8xHeQck/KqBXVWNZM6F W87WrK4C5EVRBL/ZzRPT916KZVXZCij6LlC4F2lA6a4Rx91sau3PXtHKS1KsjUbleOVi8PSq Q7AXUCqiJuqlXse5YmKVCpBcrTWU8vQquVENpuXKOwmsx2okoaxjKl/aMjV6bqq8wE6xSxSt V0cjXoi7KrV3PtOfoILtl+uWIaQtrqipVlTcKlzoZJF3RqO50JFwHJKSoxSgfcbvSy1jo95H Nd0qBt4OtFcKKX+zqYneRxnbIxybo9F/iB9AAAAAAAAAKqJ0qiHy6Rjel7U/iB9A60lwoo9+ Oqibt07uOrLfrPHzvudM1PncB0swzGw4rE196rEp2vTdPnNDuHKL0voUd1a8u3b07MIP5ft2 oa91mbbrk2V3BwqkMnfU1fSvS7AKi1Uzs5tdxp3zIipVySq2NdwJuuPKz05Y5Uoqmabb/Zqa 5cuV1bWqvsbaZKjvfk3c57VFpDoBaads/XlNIm27VWdF3PLyO46d4zTOTF8KqrzUr2sSwMR6 IvcUDULxyw8jbG/rPFY0andejkU1xOUhqflNQlJabK6F7+hzeJET+J7tLiWb5nWtrLljfWNO 5d2RLTI1Wp85K+M6WZhTUTI6SotdLD3UfAnF9YEIVFs5RWQO6ot1Wkgd0p12ibIE0uz+ZnFk OZ1jd+lGTI4spRaOQ1L0kvVfPI5ffdRlVqKe1SaQYlTO4mtrXr+/OqgVO7D9ml3S5Zrd9+7s 3cws0Ww16qrcwvS7L4FS51Np/jdOiIykVdv2l3O/DiljibwtoYtvNQCkDtIcdimaymzG87ov NvGqbGbsZ5bDumOZpcFVPe8cnCXVqMOsEyqr6JiKveREPFrtK8VrFcr4alir+xKrQKlU9n5Q uKqlWy7rX0yc6ItUiqv8D27Byoc2x6q9jsnxpzkauzpUa5xPNx0djpZFlx+vmid3EqJFehrW RYbmdtp1fcYLbdqXuxwUycap5QO9p5yl8EySZtFU1bqSsXbtHN2Tf+JM9vuNFXwMmo6qGZj0 3RWPRSmmU6Z4NfHPe2z1+MXN3TPUP4Gb981qkturel7lrcUuy5BQMXdVh3kREAv2i7nXr6Kl roFgq4GTRL0tcm6EF8nDXtmoNXJYLnRTQXanbvK5ybIv8CfAPEXE8dROaz0q/wDSRBynbHZq TGIVprdBE5XN52p85PS9CkK8qn+69P5zf6ixPXG/YnjNhdjlqmW00yvSmjXi4effhQ2qNjI2 IxjUa1OhEPNxD+6tr+iR/wBKHqEUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAADBXTLT0c0yIqrGxXAZ0XcEBaZa4VeT6v12Gy06tZBK5iO4e8T6AAAAAAAAAAAA AAAAAAAAAAAAB5eU3ehstlnrbjL1KBrF4nbED6B6iYlUai5DTU9x4pbhM3rdOH32xM2qNqiv GCXejkRVVaV/Dt39lKT8jzC5ZNZ6mebqirap14kVe/3wL/Iu6boDhq77+U5AAAAAAAAAAAAA AAAAHXuNVFRUM1ZO5GxQsV71XvIdghnle5g7E9KqiSGThlqlWHZF59lQCuWql/yPXXVz2pWS aVLLBNwOexeZULcaP6bWLT/H4KK20kTalI0SWZG9sq90iHkK4LFasOkymeJXVFzTja96bqnO WZQDhE7/ADqc78+w7hAOpeulRi+q1BiTKZz2VOyKqN767AT8DHBIr4I5OFe2ajvrPvdf2VA5 BxxL+ypxxL+yoHPDuio7nRe5seLdsTx26bpcLTTVG/TxtPa3X9lRuv7KgRhf9B9N7o5z/a7R wPVOdzGELap6DYbZb5bKe2NRtVO9HsjRvTspbhFX9lSPsgxG43XUu15BM5q0lAxyIzbp3Ai7 lFWm4ZVbLFp9ZZH089OyJ71Z0om2xHlRyetV6FqMtmR1rmMTtE49if8AE7VdLhrJcMguNHJF TNp+pRcTdk3ReYlVFX9lQKPu0h5RFMi9a32u5uj8qdf2kcp+jR3DdK6RF78xeniX9lTjff8A 1VAov7EcqOmbwrUVbk7/AFYzU8PKgiaqL1y/yzF4VRq9Me/8DjhZ4JPqAo0+u5SzHK1zardP 9qceyHKV71V9qXkWGFV56dnooOow/F2eigFIYJuU1O1VjbU7f80xSUnKhe9XdUq037nVi8jY 42+9hankQ54W+CT6gKNSWDlRVDWu66q2/wDeDsE5T1U5rnXeuZv3pi83Mn+oc7r+yoFH49IO URUKvXN9rURen8qdmn0F1lqWf6bkNc35uqF2N1/ZU43X9lQPzZ170yyPBqm1SX66z1rpntVq SLvtzl18NsVpvukFHHdqOKpa2lRWq9Perw9JCP8A+oS/gmsLnIvCnOq/MjjesB1qwWh04p7f PcYmyspkarVkTffYDnQ3BMduF2yCO5UkddDTTo2BkiczE+Ymu1YvYLW5FoLXTwKnQrWledG9 YcKtNxyCWpr442Tzo6Pd6c6EkdnvT5ef2Vg+1QCVvIvMcqiL0kUJr3p8nRdYPtUOF190+VeF bpD9ogEsJ0cwIpTXzT5OZLrB9qg7Pmn/AMqwfaoBKwIoXXzT7p9lYOb/AGiDs+afIm/srD9o gErgins+afbbeysH2qHHZ609+VYPtUAlcL5SKez7p/8AKsH2iHHZ70++VYPtUAkC/Y3Zb4zg uluhqkXm7dCL8v0uudspKytxO7zwxJG5fY9vNG5NlPRTXzT5E2S6wfaoYK3XjT99DUsbdYOJ 0TkT8qnTsoFa+R+2obr3e21USRzI1Uc1O/xF8SivJJqorhyg77V0ruqRSNVzVTvcRelVXf3q gckLcqr+7MHnp/UTPxL+ypDPKoa5cWgdwrtxN39Is6nriVMQ/ura/okf9KHqHlYiqpi1r5lX /RI/6UPU3X9lSK5Bxuv7KjiX9lQOQfPEv7KnKLv3NgOQcKqp3FU44l/ZUD6Bwiqq9CocgAAA AAAAAAAAAAAAAAAAAAAAAdS9U09Xaamlpah1NPLGrWSt6WL3yJmaZ5+1XL2Rriu6/skyHHEn fAh7sa5//wD6NcPRHY1z/wD/ANGuHokwSSMjY58jkYxqbq5ehEIm1H1bp7a+S2Y/tPWLzJUe +iZ5VA07PbNl2K251VU6l1zpV5ookRF4ndxCL2ZNqyjXdUyau68mXalp286P8veNjsloyvM7 698DJ5KmRfyk0yKsCN7vD85PenOmtrxiBJ52ddV703e6TtmtX93foAiXE8J1suFsSsumX3Cj lk50iRd9kPXdp9qu1vE7Pa9qd1VVEJryK/W2w0D6q4VDImsbujOLZXfMhXrUHUy9ZS+Wjtcc 8FtcuyxNRUnen7oGt5ZdtRbNXex9ozOsuc7V/LcS7IxO7zn1j131hyO5R2+xXSsqII1/0ipV duFDbdO9K7pkDY6q9LNS21F3RrlVs7l+dSZaipxvAsfdv1KFsbO1YmySS/N84EbJiOp8VOj5 8tq2Ijd3K5UTYjvKsm1Aobitss2TVVcsa/6RIq7dTTvp3z2M/wBRb7lvFS0Uc8Nt4tuoRoqT uXuLzdw9bT3Sa5XtsVdfnSU9vReKKNFVsy+d3wNJxa6a05PdOs7Tcax9FHzS1Srts7vG9JiO su3Pkdbv5SeLNaqG0UEdJQwMhjY1E3RNlX5175puompdqxmJ1NTq6sr3dq1sS8SRr33J3gIs vNn1Ss9C+tueW1cELOleJN1XyGhuzvUl1PUyVtzqW0DWqkciLusq95UPZuNblWa3xskjampn cu0XUd1hYneenfJVw/SiK02uou1+clRcliXeJq7xNTudr3wK1ckWrqK3lCVNVUK5ZJZXK/fp 3L2Xivp7Xa6m41TuCCnjWSR3eRClHJyajeVPd0axrGpUv7VqbIhbLVatpHacZDGlTFxdZSJt xd3YCM6jlTadQ1UsK16LwLtujVPj3VWnPx7/ACqV55Ium2JZ3W332zrz0820eyom5Yr3N2kf ed9ogGP3VWnPx7/Ko91Vpz8e/wAqn37m7SPvO+0Qe5u0j7zvtEA+PdVac/Hv8qj3VWnPx7/K p9+5u0j7zvtEHubtI+877RAPj3VWnPx7/Ko91Vpz8e/yqffubtI+877RB7m7SPvO+0QD491V pz8e/wAqj3VWnPx7/Kp9+5u0j7zvtEHubtI+877RAPj3VWnPx7/Ko91Vpz8e/wAqn37m7SPv O+0Qe5u0j7zvtEA+PdVac/Hv8qj3VWnPx7/Kp9+5u0j7zvtEHubtI+877RAPj3VWnPx7/Ko9 1Vpz8e/yqffubtI+877RB7m7SPvO+0QD491Vpz8e/wAqj3VWnPx7/Kp9+5u0j7zvtEHubtI+ 877RAMM/Kk02np5In1vM9qovaLzkdaVay6Z4lmGSXhKpGpcpEczaNe4SX7m7SPvO+0Q59zfp H3nfaIBjTlVacp/87/Ko91Vpz8e/yqffubtI+877RB7m7SPvO+0QD491Vpz8e/yqPdVac/Hv 8qn37m7SPvO+0Qe5u0j7zvtEA+PdVac/Hv8AKo91Vpz8e/yqffubtI+877RB7m7SPvO+0QD4 91Vpz8e/yqPdVac/Hv8AKp9+5u0j7zvtEHubtI+877RAPj3VWnPx7/Ko91Vpz8e/yqffubtI +877RB7m7SPvO+0QD491Vpz8e/yqPdVac/Hv8qn37m7SPvO+0Qe5u0j7zvtEA+PdVac/Hv8A Ko91Vpz8e/yqffubtI+877RB7m7SPvO+0QD491Vpz8e/yKQTyrtYsZ1ApaCis9Qs0Ec7HyJw r0J0k8+5u0j7zvtEOU5N+kidHEn/AHUA1bS/lFadYxgdssrqvgfTx8Lm8C8xtVDyo9O6qvgp GVycUz0Y3tV6VU49zdpH3nfaIV25TGneK4NnljgxzmikmiV+7kXbnAv3b6ynr6KOqpn8cUjd 2r3yinKjZVycou0soXK2dUbwqnf4i5mnk9KmKW6FlTG53Uk5uLnXmKf8otHe6dsaIi77t/qA neltGqnW8SpW1HD1NuycXzH06z6rKvNXVCf9RMtO5sdvikkfwNbE1VVV2ROYinVTWS3WCN9v syrV3BU2SRnbMaveX5wNXyiuz3Gbc+uut7ljRE3Y3jReJe8RpbNXNV7zdOsLNRTVUqv2YnFz K3vno2DEs51Uvrq26SVFPScW8nGqoxW/ulktO8BsmHW5Keip0fMqIr5Xpuu/zKBHNstmrstK yWpqaiORyIqs4ugzLZtV1VV6/qE/6iap5oqeF8s8iRxtTdz3LsiIQ1qRq4+CSa14vss6dqtV Im8X8FA1bM79nuK0iPqbtLLVvXaKBHIvE7vKajHqLqvJ1OngimlulQvaUqO3RP4no4niuTZj cpHwJUNV671E1VurNu7wKvQpP+n2A2nE6TaKN1RVO2V8svbKi/MvcA0Cw2rVeotkc9fWTwTv TdY0VOY7jrNqQxFdJdpmNRN1VzkQkbLcptWM0Tqi4TpuibtiR3bu+ZEK953qBe8wqXwUsdVF bldsyng3bOqfwA62SZ/nVJdXUFprpayKJfy8yu24NunbvnZw/JdWMquyQ2ttQ+2xrtJVK7Zf qNg060muF3dHX5O58NG3Z0UbFVsi97i75OtotlHa6NtLRQMhjam3at2VfKBFbrJqVvzXOo+s +XWXUlvO+7TNb3Vc5EJKyjI7Xj1C+quFSxiNbukfF2zvmQr1qBqRe8smdTW+Opgtjl26hGit qHJ82wHXyrPM4t9xW22WvluEka/l3OdtwInTt3z6xfKdVclvLaOzNqJ6GNU6tUq7bhQ9rTnS m53x0dXkCy01uTtmM3Vszl7nEvdJ5sVnobPRNpKGBkUbU23RNlXygRe6yalc21zqPrPlbJqW iKq3WdETuq5EJVvF0obVRPqq+pZBGxFXd7tt/mQgHUTVe6XxZrbYo5aaiXtZOJNpJE/cXvge fmuZZvYp0oLXcpbjcV99ErtkRO6u55tpzbVa9V0NtskU9VLxJ1y7i26mnf8AnPS0901vWUKk 9Ys9Ja+Ld6zqqTuX5l7xYPFcctmOW1lHb4EThTZZFTt3eVQI0hsepqwMV9zqEeqdsm/QpguF HnttpZaq4XyaCCJvE5Vcm+3kN01B1EtGKQPY5XVdZts2GFd3IvzoQDfL3lOa3hnV0qZ3vftA yl34Gd7jTvAaJq/Be9R62NbzWyxWqjRWMqelz+9zHjae8ly/ZSySrmnloqLnSKTbdX97mUtP p3pG2nliuuTqk1W3nZDGv5P+LSXaeCKnhbDDG2NjehrE2RAKUe4yrPl2X0EMNXyPVooJKmuy V8MMTeJzlam+xbPPM+s+KU71nctTUonawQru/fyFe8oyPJc2uDeqtqpWOf8AkIqTdOHvcaJ3 O+BAdVoxTpc5et7tI+1Qrs+q4edf4Gxae8mG+ZY+WpWeWlt6KqRzKnO/vLspaHTjSBd4rrlS 8U7dnRwRLsxfOTukzUdNDSU7YKeJkUbU2RrE2QClPuMq35dl9BD4m5G9RDGss2QvZG3ncrmo myFwsuyi1Y3bn1dwnajmpu2FHdu/yIV4zjUG/ZhM6lp2VEVuV3aQQoqTqvcXm7gFfMj0OgpL x1jabu+tiiXaolVNuBPm752sQ5Ol5yi8dRtc0z7czmkqVbts7vbFmNPdI7hdWQXDInuho07a GJq8Mq+f3yd7VbqK10LaajgZBFG3pRqJvt3VApj7jKs+XZfQQ8nJeStR45bJK67ZQ+JreZrU Yiqq9xC0Wo+qtFY0loLSi1de7tWyM7aONe+4haCmyrNr9u1lTNWyLv1Rd1pkTu/xAgBmjczW yST1UjFfzUkbU36qvz94kDDOSPf7za+vblVy0Cv2WNiN33QtfpzpbbcfRtdcGrVXFyJxI5eK NvkTuEjtRGMRqIjWonc6EApL7jKt+XZvQQ8++8k6msVsluF2yh8EMfeYiqq+QtLqPqjbccik pKLesr3JwsWPtmxr33fMQc9+WZrfkc9Kipq5F7RzN1p2p+8nQBFul2N3fT2+1N9tlXLtI3qd OjU55lReZF7xO9qqNcLrYJbqykmilfssEPVPfISFpvpTR2bhud6RKm5uTnZvvE3yJ3ySKqpp LdRunqZY6aCNOdzl2agFaOqcojb9FSp/3UI11nyTU5lLBbMggVJpFThZ1RFRdlJv1H1erapZ rXizepN52yTyJzPTuoxe+Vq1ruVfRU1Es7Kxi1LkV76lV3Xn/wBVVCVveN6j6yVVfRY/bLZL M5IWJuj+Zre/uTZb7NqlJRRyVNwqI5nJu5nF0GwaA0Vj7H9vrbXD1SR8TUklem7+Lbn5zYc2 zaz4rSPlrJVnmana08a7yO/gFaDPa9RKaJ81VeZooo28TnK5E2QjO7ajZ026Ogt1bNPboF2m qVdsqJ5O6ZMzy7Is0r0jVlW6lc/8jBSbo9ve4kTud83vTvSCaodFc8peqcGzoYYl4d/PTuga 3gd61byuuc+Fk8VrZuiVPFsrl8huzrJqVvzXOo+sligo6ehpW09LCyKNvMjWJseNmeX2nF6F 9TXzcT2pu2Bi9u7yIBHktp1GhY6Se7zRxtTdznORNkI4yDULOaa7JR2qtlq6ON3+kVCu2Vid 9E7pkzbOMgzKp6jGyqS3ud+Tp6bdJvm327htenWktdcupXHJ3uip29tDFGvC9fP74HR0nyPU 3JctY50MzrDFu2Spc7bde5zFimboxEXp25zq2qgpbbSMpKOBkUTU2RGt238p2wAAAAAAAAAA AAAAAAAAAAAAAAOlfaepq7NV01HULT1EkStjlTpYvfITfplqir1VNRKzbf8AYJ5AED3LTXU+ vtUlufn1Y1krVa53B0opqnuccmbRJSR5hO1P/wCV3B/aqWjAEF2jTbUC00LKO2ZbUU0LEROF rE5175mmwjVTm4M4q/RJuAFacl0S1ByOsZU3fN6qdke3DErebdO6YbVoNmVuuyXRuVzyTNXe JOD+zLOACDG4Pqu3fbN6tE7iIxDWr/odn1+ukdxu+bVVT1Jd44nN5kUswAKz2PQvMrTdlubc qnmqOfqblZ7xO8bSzCtVWpt7dKvbuJwITeAIMqMH1WlgfEmb1beNNt+HoNKXk85oslRM/Mal 9XUc0k6t51QtQAK641pRn+NUMlPbMqnh7XikkRibvVO6QbnGtupmJZbU2KsrauuZD7/dq9sh fxU3TZeg1244TjFwq3VVZZqOaZ3S98SKqgfmtjWpV6sWXXLJaKinjrax6vR6NXdu56+FXfVj Um81lloLrXSLK1XSxqmycKr0H6E9jvDvkC3/AGDTv2TEsfs1UtTbLXS0szk2V8UaNVU/gBR3 GtBNZ8ckmfZX1NG6Vd3qxffKe32MOUP8rVv1l4wBRzsYcof5WrfrHYw5Q/ytW/WXjAFHOxhy h/lat+sdjDlD/K1b9ZeMAUc7GHKH+Vq36x2MOUP8rVv1l4wBRzsYcof5WrfrHYw5Q/ytW/WX jAFHOxhyh/lat+sdjDlD/K1b9ZeMAUc7GHKH+Vq36x2MOUP8rVv1l4wBRzsYcof5WrfrHYw5 Q/ytW/WXjAFHOxhyh/lat+sdjDlD/K1b9ZeMAUak0z5QscbpHXatRGpuvOdC0YTrxdJZoqO+ Vkj4V2eiO6C7Wc1qW/ELrWLJwLFSvci77c6IpWvkVZzLfMqymCtqXPWWVOoort+6BpXYw5Q/ ytW/WOxhyh/lat+svGgAo52MOUP8rVv1jsYcof5WrfrLxgCjnYw5Q/ytW/WOxhyh/lat+svG AKOdjDlD/K1b9Y7GHKH+Vq36y8YAo52MOUP8rVv1jsYcof5WrfrLxgCjnYw5Q/ytW/WOxhyh /lat+svGAKOdjDlD/K1b9Y7GHKH+Vq36y8YAo52MOUP8rVv1jsYcof5WrfrLxgCjnYw5Q/yt W/WeHkGgus9/rIqm7vqaqWJU4HuX3uxf8AfnLkN61a0kyO2rd7jWyRRv7WHbmcidw1fVDU+5 5dnVvyqO2TU1RSRoiojV7ZUXpP0qvuL2K9yNfdLbTVbm+9WWNHbfWeZ2O8O+QLf9g0CkFPrt qPmlVR4vBNV0KVipD1REXoJQtvJ/y7qtPcH3iaVFRHyMVPfu75ZWjwTFKSpjqKeyUUcsa7sc 2FEVFNka1GtRqJsidAEGUeM6m0ULKeiuM8EDE2RjUQzusuq6pzXepQm0AV4yzBdV8ioUon5L VUsK/wBoiJ79O8ayzQnM2vgYl2m60i/tINv7Ve+WtAEFUeM6mUMDKehuE8EDEREY1EM62XVd ei71KcxNwAq9edHtRr3dpLnd8iqatyt2ijcn9mvcU7OKaSZzj9a+4eyUtVWuXdkqtTdhZgAQ k2y6rpvvd6j6kC2XVffmu9ShNoAq7kOkGpWQ3Ra+8ZHVVDWp+ThcnMxe4plxjR/OrJclucl0 mrKtF3jerf7Ms6AISSzarpvvd6j6kO3TY/qa+Lilv9Sx3e2JiAFeMs0lz/Kalj7nltS6lZ/8 dU5lXvnTtOhuT0V1bcZ79LVJGqLDErf7Ne+WTAEQNxrUdicMeQTtb3Go1E2PiqxjU2WlfHFk 9TFI5Nkeie9+cmIAVgn0EzOeWeqqMtqJbhM7i65VvO3vobLiemGX4xSrFbrxL1d3v5+FN3E9 ACIPa7qV4w1H1HzPjepjqd7Y8lqWPVNkXboJhAFYanQnN6qtnuFZllTPXTru2ZW88Z7+HaU5 fi0busr3K+qeu75+FN13J/AEQrjupKLzZFUfUcLjupW3NkVR9RL4ArfedFs3vd3W53jKqmqV q7wxubzRmfFtGsqsFc+vW+S1dW7fgkVvvE7xYkARCzG9SUTZcjqObo5kOlecP1PuNBJSRZZV UqyJsr0b3CawBV1nJ+yxkCQtyifjcu88qt55U7xutiwTNrHQMorZd5YI2ps5UanbL3ybQBEP td1J2/vFUfUdS74nqfWUD6aDKqqne9NuNE6EJpAFXk5P+XdTc12U1C1Eiqs06t55EXuG34zp 5mePUSUVsvEsLf8AXcjU7de+TkAIidjmpCJzZHUL/A17MNM9RcpgbS1eXVUVIn9pFw8zyfgB WWl0FyWK5Q1D79K6khVFbTK3m4k/1iLuU1p3nE9VT1VzmkmoKZeGDdE2ahetehSFuVQ5yYtA iKu3E3+osZ9cajojg2pdnwaKkbdqijjlakkSJz7IqcynxX6F5tX3Se63DLampq5F3ie5v9kW GxD+61rXf/4kf9KHqEWK/YfpPl2MLJPTXqWatk33qFam+y9w2OPG9SdtnZHUfUS8AqIZMc1K 6m5G5JUo7bmXY0S66I51drjLc7rltTVTu54kc3+yUsyAK34poxmeO1jq6HJJpqx3vZVYm7U7 xs64nqii82V1O3moTSAIoxjGtQ6W8xT3HJaiopk99G5OZSVmIqMRFXdduc5AAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAVdkVTWaLMbfVZTWWBip1xSw9Vfz9w2V/vHeQhT GtuztkKcKfo7pAkvEsrochq6+mpFRXUT0ZJt3zYSINAERMjy3ZET/SkJfAAAAAAAAAAAAAAA AAAAAAANE1xsl1v+BVlttMzo5pGORyt7rVQrDyTNMcksGp9RULUPSnopf9IZt74ujc+a31Cp zL1NSJtBefLsrRXOVeqt33AmFEAQAAAAAAAAAAAAAAAAAAAANebldC7NPawip111FZf4Gw9w iCBG+6Wauyb+xrgN8oMuoKvK6zHo1Trmk24/4mxkMYrt2fsj5k6Wc5M4AAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7hGWvmK3PJ7DFTWyN0kjXIqonlPY1O1Ise CUbZLj1WeeReGOCFOJ6r3OY0/DtfLFdrqy23Sgr7XJMu0clTEsbP4qoErY5TyUlgoKWVNpIq djHJ86Jsd8wRVUMtJ1zFI2WLh4kc1d0VDWcLzehya/3i00rHpJbHo2RXJtvuBtoAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOHe8d5CFMa+HfIf8OJrd7x3kIU xr4d8h/w4DvaA/3jy36UhLxEOgP948t+lIS8AAAAAAAAAAAAAAAAAAAAA+ZHsjarnva1qd1V 2ASsbJG6Nybtcmynk2HG7ZZaurqqCBI5Kpd5V753/ZCh+OQfaIZ4pI5WI+N7XtXutXdAPoHX mq6aKVI5KmFj16GueiKdhFRU3Rd0AAKqIiqq7Ih8xvZI3iY5HJ30XcD6AAAAAAAAAAAAAAAA 7hD8P6zTf8NcTB3CH4f1mm/4a4Dr4p8P2SeVhNBC+KfD9knlYTQAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAVy1OqLVaeUHT3PKk4bU6GNtO9/vUkJYzLDcX1Bx 5qTwRSxvZvBOztdu8vMdzULFcayO2JHkDKdjGru2aTZFavzKp2cMbY7bZoLRa7pT1cdO3hRU la5dv4KBBtNesy0buL7dkSTXbGX9rFV7bNhRehP4IevyYrrQXvNs0ulsqGz0k8rFje3oUlDJ 7thdziksd5r7bM2VFa6OSRq7KvN9Zh00wPHcOiqZMe4eo1aoq8G3D/DYDcQAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAcO947yEKY18O+Q/wCHE1u947yEKY18 O+Q/4cB3tAf7x5b9KQl7dN9ituEak2DBrxl013ZVuTrlFTqMSuNYzjlhUlIkjcetyyu2Xh6v GrecC3IIH0r5QlmvWIUtffIKuOukbvI2GFXMRfmU2vs34d+xcfuygSaCMuzfh37Fx+7KOzfh 37Fx+7KBJoIy7N+HfsXH7so7N+HfsXH7soEmgjLs34d+xcfuyjs34d+xcfuygSaCMuzfh37F x+7KcLrfhyJvwXH7soEnGlal6g0WFpC2endUTTJuyNq7Kp6eF5hasrpFqbYlQjE8LGrVI31x ZFJqDj7JYWStVi8zk+cDudmefZFXFaznTdO2Ph+uENPPE2vsFTSxSKidUe7mTckyks9rfSQq tvgX8m3/AFfmI05RlBb6fEGuioYWv6ozZUb0dsBLdFO2qo4alnvZWI9PIqbkYcpq6XS26dVL 7TVdbVLlajZO9upImNf3et30aP8ApQ0TlF43eMm09qqCxRtkrnK3qaOXZOkDTLHpJlNdY6Ks fljeOenZI7tV6VTc3u9VlTpppRVV1ZU9ezUUfv05t1XmIursC1Is+GxX72dqm1lup0e+kSb8 mrWpvsbXYq+fWPQmegqESK4VEW0rU6EcigafjuF5/m1iqMsqcmSGd+8tJGrV5m9LUN45OeZX u8OueM5G9ZrlaNmyzKm3HupHVn1PyTTnE6zH7/aVSWla6OlkaxVRyImyc5tnJQt9xqaC657d WJE+9JxcK9zhUDZ+UPmtRjONQ0dqnT2UrZ2wsYnvka7m3Nt0vt1ytmGUVLd6jrit4eKR/f35 0Kz5JfsoznXGa5Y7aoa+jtTHQqyZO042r0+UmfSDVV2S3arxy+0raG9UaIkkTU2ave274Erg x1MzYKeSd+/DG1XLt07IRzUa1YhBUPgey48bF2XamXYCSgRl2b8O/YuP3ZR2b8O/YuP3ZQJN BGXZvw79i4/dlHZvw79i4/dlAk0EZdm/Dv2Lj92Udm/Dv2Lj92UCTQRl2b8O/YuP3ZR2b8O/ YuP3ZQJNBGXZvw79i4/dlIt1v5S6YxLTyY3RvmRzm8aVMat5gLP7pzkPw/rNN/w1xoWCcrbH rkrI73RVET3cy9bwq42TCsktmUcoRlytXV+oOtq/2rOFfqA9HFPh+yTysJoIXxT4fsk8rCaA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACvusiXrNdVYcBp7gtJb 4Y2VEydHGi9KbnjakaVX3A7R7L6c1c7alNkli4ler9+Zek3/AFn05u93vFNlGJ1DobzC5qPb xcLXsTuKpIuLR3KXG6Rt/hibX8CdXY1d27gQvZ+T5YK/E/ZC9Pnkv1TD1ZZuquRI5HJv0fMp 6fJmu12ZWX7DblVrVNsb2xxyd9FU3rVv21rijqbDqeGWunXqS8btuBq91PnPJ0K0/qMNtE1X dJnTXiv2dWOVd+ffvgSQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAADh3vHeQhTGvh3yH/Dia3e8d5CGcTh6rr1fWb7K+3ogHX0asttu16y+C4Usc7HVKIqOain ey3k66cZBTyK+09Smd0OR22ym16bYfLjNzvNVJIr0r5kem/cN2A0fT7TTHsUxuCzwUkUjIm7 Iqt3Pf8AaxZPiEPooeyAPG9rFk+IQ+ig9rFk+IQ+ih7IA8b2sWT4hD6KD2sWT4hD6KHsgDxv axZPiEPooPaxZPiEPooeyAPG9rFk+IQ+ig9rFk+IQ+ih7IA6lvt1HQRrHSQMiavcamxDPKBr YLZmlir6tOGljYqPf3E5ycTzb3YbPeo0ju1ugrGp0JK3cDUYNVsMjp4WpdoF2jb/AK3zGga5 57jt9x+KhtlXHVVEkjNmMXn6SWU0/wAMRNkxy3/Zn1FgWHRTNljx6ga9vQ5I+dAPVxtFTH7e ipsvW0fN/wBKGq6xZdW4Xjjr1T0MlXDEqdUaxOhFU3iNjY2NYxqNa1NkRO4h17lQUdyopKKu p2VFPImz43puigRZk2rWE1um9ZPFfKV9VVUKtbTI7tuqK33vlOpyUbZW0mBpcKuF0CVacTI3 JzpznuwaKYPFduvktUCt4uJIuDtUXvkiUdJT0dKylpYWQwsTZrGpsiIBA3KCur8jym3YBZoY n1SysnqHIxFXqe/OhLtPYIrbhfsJbG9RayHZm3f25zNTYrZ4cidf0pI1uCs4OrK3ttu8e4BW /k85dj2IzZBY8lqIbXWuuEkrXT8yvbv0+Q6+OPgzDlFVV3xtEkt9I9rpKmL3kqEw5hpfieS1 fXlZbYEqe7KjO2VO8e1h+JWLFaLrWzUENMips9zG7K7yge3wo5Htcm6LzbHlPxqyucrnUMKq vSvCh64A8b2sWT4hD6KD2sWT4hD6KHsgDxvaxZPiEPooPaxZPiEPooeyAPG9rFk+IQ+ig9rF k+IQ+ih7IA8b2sWT4hD6KD2sWT4hD6KHsgDxvavY/iEPooaJqloli+dVED6+nYxkapujU23R CVBsBGmLaIafY6jFobO3janvnLueFaaKmoeUi2GkhbFGltdzImxNBpkeHObqimW9VdslKsPB 3ANKxT4fsk8rCaCF8U+H7JPKwmgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAADrXPrj2PqOtGo6fqa9TRV6Xdw0rSlc6WsuntwpIoIeJOtFY/i4kA34AAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHDveO8hD2FfrA3n6EnrJhd7 x3kIewr9YG8/Qk9YExAAAAAAAAAAAAAAOtcK6koKd89XPHExibrxORCLcg1wsFDdoqajbJUQ caRyyrGqI1yrsBLYMNFUR1VJFUxORzJGI5FRe+hmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AhfFPh+yPysJoIXxT4fsj8rCaAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAQ7qLqJlOFZfCs9kqrhYpHdvLCzmiT51JiIP1oyDML3dHYRjdjZU01SvBUVLl2Vif MB72Ua14rRY82rtNSy63CVvaUVO/eRrlToVDu6KX3L8gpKu5ZNRyUUUqotNTyM4XsT5yGavk 3VmJU0OT45WTV95hckz6aTmaqpzqm5NOi+aXjKbfUQX61pbrjR7Nljbvtv8AMoEhAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA4d7x3kIewr9YG8/Qk9ZMLveL 5CuN4y6XENab1XR0S1SpQp2qb/8A0BY/fm3TnBSfPeVrkqLJR0GNOpVTdEk7ZDbNANeL/dMY llu9HJWTdWds5267J3gLWAhvszT/ACM76lHZnn+RnfUoEyBOfoIcTWWoVeayu38im5acZlJl UMkj6JabgcqbbLzgbiDFV1MFJTvnqZWxxsTdznLshAmrvKdxPEmy01mey518e6LHzoiL5QJ4 rq2loYHT1k7IImpur3rsiEZ5Xq3TsqFtuMUM92qXczZqdOJjV+c0XTFb9rdZGZHcrtNbbdIu /Wca7tcm/QpNWN4vjmJUXFQ0lPS8DN5JehXd9ecCOLbp9lWZVCV+dXPeldzx09O5WOb8ymTU +r07w/Dn2KSniqqhdkip41RZld3F7/SdLOtX6u7XKXFtPqV1fXPXqck6bt6l86Kelp7ozS01 ZFfswqnXm7PTjVJ036kveQDYdAVurtPKd14ilimdI5WMkTZyM7n/AIO7l2o9ixy5R26qer6l 6boxq85uUbGMY1jGojWpsiJ3EIJqrXbrpr3TMuFIyoRGv24u4BtnZkx/4vN9Z3LHqvjt0vMF raroqif+zR7k5z20wfFHK5VsdN094i3U+wWa06pYu+32+KnerHc7PKBOzVRzUVOhTHWVEVLS yVEz2sYxquVyrzIKP81i8xCGuVnnLcawZ9qp3uSvr9kiRnO7ZF5wPS0fz2+Ztk9ymbGjbHTP fCx3Dzq9q989jWrUFmD2FHwwvnuFQm1NG3nVV8hHuhOpGJWS20WMVDVt9VUo2Rd41RHyO+c7 HKWRkma4aq7ORXuVPrA82qy3WOxWqnym7Ppqm1Sqj308UP5RjF5+f+BMFjzu1XPT5mYt3jol jV6o5edNjBnjU7FNenCip7Hu5v8ApIkxJETkgTtToSJ/9QGW25vqpnDq+54k6ChtlJI5rWzx bukRO8vzm86H6j1GWrWWS8074L1bk/0lFTZF3XuIOTW1rdOY0RETnT1Gp6UojeUbmyomyqxm 4E+DdDFVy9QpZZkTfgYrtu/sRLVawzQ1MkSWdzkaqpvsvOBL4Ib7M8/yM76lHZnn+RnfUoEy bpt0hFRehSG+zNPtt7Cr9ShNZp06LKv1KBMgIb7M8/yM76lHZnn+RnfUoEyIqL0KCG01mnTo srvqUdmef5Gd9SgTIccSd9CHOzNP8jO+pTlmskqvRFsq7KveUCYwUo1h5ReV2TM2pbaeRtM1 39jzojvmNo0y5U15v9XFQ1uKrGqqiLIiO5wJHxT4fsj8rCaCBNLLt7M60X+rdD1JzuBVbsT2 AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACIdXNU48YvUNksVpfc btPvzwsRysVO+S8V+pqaotHKJetbSK9txkctNIqbo1NgPAp9dc3qZqinhxysdLTsV8jUh59k 6STOT9ntRnFFXVFXbOsJ4lTjY6Phdv8AOaNTZXbsB1Tu8GV8UEMsD3sckfEjkVeg9nkz1El0 yjK75TMey1VkjXUm7dkVPIBOgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAOH+8d5CGMRp4KjX+8sqKZkrOsU/tGoqdPzk0dzY8+mstsp7rJdIaVjKyRvC+VOlU 7wHhZLp3iV+p1irbPSJumyrHEiL6hgunmM4fbn0NpoI+over16o1HLuptoA6fsXbfiFN9kg9 i7b8QpvskO4AOn7F2/f8wpdv+Uhmp6Wmp0VKeCKJF/YaiGYAQ9yt6O5z6RXSe2zyxOhiVXLG 5UUq5oPpxjecaPXy5VSTS3+lc9U43bqqIherN7Q2+YrcLW9OJtRErdlPzhsmdXzS3NMhtNBS vkjkllg6mm6cy8wEvcjbUugxS1Xq13uVzWUaL1GHftnLv0IhI9RNnWsl263gbPaMZa7tuNFZ I9PmXvEU8kHTG4X3K63IcmsauoJVR8Syc3PuXjoaWCjpmU1NE2KGNOFjWpzIgGt4Fglhw63s pbXStV6J200ibvcvlNqAAEEVVyoLXr5TSXGripWK1+zpXbITuarlOn2LZJWsrbrbIp6mNNmy L0oB2PbviKIv/wCQUH2qEWaoXyzXXVDF2W24U9W/gdzRPR23Obp2HcH+R4vrU7ll0uw21XSK 5UtoibVQ/wBm/utA3Ck361i81CumoyUk3KNx1uSKxtG1zuo9W94qfxLIIiIiInQho2qmm9pz umiWpVIK6nT/AEepRO2j8gEb8quDHY8asy0TaSK4JXsWDrdEa9e90dw8PWGesp6bAbndkcxI UXriR3MjO9ubtjWhcVNe4Ljkt+lvyU2ywRzN2Rip0KSJnWHWjLsfls9zp2Pic3haqp70DXdQ b9Z49Iqid9wgSOehVsS8adsqt5kQj3DaapfyR5YmQvWV8L1azbnXtj0qXk/PdUQwXXKaivtM D0dHRPZ2rUToQmais1to7O20U9KyOiazgSJE5tgIw5NV6tj9Pnx9eQtfTu2marudionPua7o 1URXDlA5pWUT0npVazhlYu7XfxPSu+gieylTUY5kc9lpapyunp4m7o9V6SQdM8Cs+D2nrW3x NdO9Py0+3bSeUDbVRFRUVEVF6UOotstyrutDTKq/7JDtgDp+xdt+IU32SHHsXbt/zCl2/wCU h3QB0/Yu2/EKb7JB7F234hTfZIdwAdNbXbtuagpfskCWu3bc9BS/ZIdwAdP2LtvxCm+yQexd t+IU32SHcAHS9i7dv+YUu3/KQ+ktdtT/AOBTfZIdsAR9kuj+GX+/svNfQI6oY7iRGoiN+o2a 0Ypj1rhbFR2eiZw9Duot39R7YAhbEI0j16yJscKRsRWbcKbITSefBZbZDdJblHSMbVzf2kid Lj0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeDlV4xmwtZcL7U 0VK9qbxvmVEd/BVPeK0ZXa4s217js+WPV9rppVbBTSLs2VAN1yvMdKMk4XXSqopnMXdH8Td1 Ty943jTe7YxcLUsGMLTrTwIiKkW3/wBHiJo5pijeH2tUKInN75fxNnxDFMdxiCSLH7fDRsk9 +ka77ge8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAHc2I4qtF8JqstXJZ6BJKtV3VrmorVXv7EjgDBQ0VJQwpDR00UEaJsjY2o1DOAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAACrevEd1zzVm24/iTkoq2ic5s8/vefyoWkK0apVeT4hq7Bf8Zxd9zikerqlG rtxKB6LNK9TUgax2QRq5rdlXqy85JekWM5DjlHUR3+ubVvk24FR/FsR92bcz4OJdOZUXbdU6 opI2lWYXbLKOea6WF1pdHtwtV2/EBuwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAa1n+RT45a+u4KOaqd+zGziU2U4c1rk2c1F8qAQv2Y7k2NXvx+vREbxKvW68yHWtuuctx Y51HZa2RG9O0CqShqBcaSzYdc62VsbUbTPRqqidPCuxXnkP5nJkNZfLdWSMc+BzlaionRxAb /wBmO5eL1w+7qcprDc1RdseuHN/u6kypFF4NnooOpReDZ6KAa5p7kk+SWySqno5qVzXInDIz hU2Y4a1rU2a1E8iHIHRvt2obLbZLhcZ2QU8fvnuXZDQH64YCxytW6xcy7f2iGucteR7NDrnw Pc3dzedF27pTvTDAbVNYosky6rWls9Q/qTKh6rwo4C9Ca4YCqp/+7Q8/+0Q+X634A1dlu0S/ 9xCriae6MOaj48uifG73rk4ucLp3o2nTlcf1OAtMzW/AVbzXaH7RD5frjgCLst2iXySIVb7H mjXjZH9Th2PNGvGyP6nAWibrhgCrt7KxfaIfTtccBau3stD9ohVvseaNeNkf1OHY80a8bI/q cBaRmuGAv/8A7aFNv9ohw/W/AGrz3aL+EiFXOx5o142R/U4djzRrxsj+pwFo264YAqKvstFz f7RDlNccA4eL2Vi5v9ohVxNOtG+Hf21x7eRxx2PNGvGyP6nAWj7OeA/KsX2iH2mtuAqn6Wh5 /wDaIVZ7HmjXjZH9Th2PNGvGyP6nAWj7N+AI7b2Wi+0Q5frhgLV57tCv/cQq32PNGvGyP6nD seaNeNkf1OAtF2c8A339lYvtEPpuuOAuXb2Vi+0Qq32PNGvGyP6nDseaNeNkf1OAtI/W7AGp ut2h+0QR634Cu+12hTyyIVb7HmjXjZH9Th2PNGvGyP6nAWkfrdgDU3W7Q/aIcM1xwDfZLrF/ GRCriaeaNLze2yP6nBdO9GkXZcrj+pwFpl1twHpW7Q/aIfDdcMA2X/8AdovtEKudjzRrxsj+ pw7HmjXjZH9TgLSdm7AERF9lovtEOezjgPFw+y0P2iFWux5o142R/U4djzRrxsj+pwFona44 Bvz3WL7RDmPW/AHLzXaL+MiFXOx5o142R/U4djzRrxsj+pwFpezjgOyr7LQ83+0Q4XXHAOHi 9lYuf/aIVb7HmjXjZH9Th2PNGvGyP6nAWiTXHT/5Vi+0QyprdgW36Xg+0Qqx2PNGvGyP6nDs eaNeNkf1OAtG/W/AGrz3aJf+4h9M1vwFzf0tD9ohVrseaNeNkf1OHY80a8bI/qcBaN+t+AN/ /tovtEOY9ccAXmS7RfxkQq2mnejSrsmVx/U4djzRpP8A/rI/qcBaV2tuAoiqt2h+0Q+U1wwB WfpaLb/mIVc7HmjXjZH9Th2PNGvGyP6nAWkdrfgDOf2WiX/uIGa5YC5dvZaFP+4hVvseaNeN kf1OCaeaNLzJlke/kcBaV2tuAoir7LQ/aIexiGpuJZLcOsLXcoXzqm6N403UpnedPtLVp3UV lyOOtusybU9O1XI5VPE5PNkrsc17pqCpdIx/Aq8KqvMm/QB+jYPiHfqbe9wofYAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADDLS08juJ8Ebl76oZgB1vY+i+Kw+ihl gghgRUhiZGi/spsZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABHXKHx2 95NprW2ywOjbVL26q9dk4URdyt/I204zGx5pV3RywNoldtNs/nVEUuRe1X2Irfo7/UpFvJzc 5aau3X/Xd/UBLyJsqnIAAAAQby2vgOufnN9ZBGHW6mu/Jmxe2VjUdBU3lY3rtzoik78tr4Dr n5zfWQnpon/t6w7/AB0CRbPabBpXVU9BkmPUFVY6pN4Kp8KOVjf3l7hu6ZHo05jXttdoe1yb oqQsU6/KYpYKrQmphlYiosbdl7qfxK56O6K3DL6JyUd3dTRNbuiKqrzgWU9sOjfyRafsGD2w 6N/JFp+wYROvJdvuyf8A5B/4U+mcl29q7nyDZPIoEre2HRv5ItP2DB7YdG/ki0/YMIrdyXL1 wrtkPP5FMfuXb7w7e2Bd/IoEse2HRv5ItP2DB7YdG/ki0/YMIqj5Lt722dkHP5FOJOS5fN+1 yHm8igSv7Y9HNtvYm07f8hpx7YdG/ki0/YMIoj5Lt837bIP/AAp9u5Lt6RObIN/4KBKnth0b +SLT9gwe2HRv5ItP2DCKYuS5fN14sh/8Kcycl297bNyD/wAKBKvth0b+SLT9gwe2HRv5ItP2 DCKE5Lt85kXIPLzKZPcuXnxh/wDCgSn7YdG/ki0/YMHth0b+SLT9gwihOS7fU33yDfvcynMf Jdvm/bZB/wCFAlb2w6N/JFp+wYPbDo38kWn7BhFbuS5eubbIf/CnD+S7e9lRL/8Ax2UCVfbD o38k2n7Bg9sWjfyTafsGEUx8ly+b9tkPN5FPp3JdvSdGQb/wUCVPbDo38kWn7Bg9sOjfyRaf sGEVLyXr3t+nv/CmP3Ll+8YV+pQJZ9sOjfyRafsGD2w6N/JFp+wYRTHyXb30OyD+Oyn0/ku3 pE7XIN18igSp7YdG/ki0/YMHth0b+SLT9gwiqLkuXvZeLIefyKcScl2+dDcg/wDCgSt7YdG/ ki0/YMHth0b+SLT9gwilvJdvfEm+Qc3kU+3cly9cK7ZDz+RQJT9sOjfyRafsGD2w6N/JFp+w YROnJdvvCqe2Dn8in3HyXb3ts7IP/CgSr7YdG/ki0/YMHth0b+SLT9gwiteS5euJNsh5vIp8 v5Lt8VOa/wC38FAlZMi0bTotNp+waPbDo38k2n7BhFUXJcvfPxZD/wCFOV5L16Rea/7/AMFA lT2w6N/JFp+wYPbDo38kWn7BhFLuS9e1Tmv+y+RT5TkuX3bf2w/w2UCWPbDo38kWn7Bh5OUZ dpVSUKxWjHrZWXGbtIImU7V2cvQqoncI+l5MN7jhfIl/52pv0KaVoXjaWnWJ3XMq1EsD1iXi XdOZenYD2MkwGWwanYVklyo6elr7nUuV8EKbMYiJzbIeXjyqvKsZ5rvWTPyk9uyXp7t8Yd6i GMd/Wtb5HesC88H9m3zUPsxwe8b5qGQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADo3v9E1v0 d/qUizk5/mlf57vWSne/0TW/R3+pSLeTj+a13nu9YEvt96hyAAAAEG8tr4Drn5zfWQnpp+r1 hv8AjpNnLa+A65+c31kJaafq+4d/jgE+coz4Ep/Maa7yQVX2Lenc4DYuUZ8CU/mNNc5IP6Mf 5gFhk5kBw1d03OQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAw12/Wc2y7dovqK c6cfDbXfSnf1Fxq78zl8xfUU405+G2u+lO/qAkrlJ7dkvT36Q71EMY7+ta3yO9ZM3KUX/wBT NPvpDvUQzjv61jPNd6wkXngT8kxf3UPsxwe8b5qGQKAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AA6N7/RNb9Hf6lIt5OP5rXee71kpXv8ARNb9Hf6lIt5OP5rXee71gTAAAAAAg3ltfAdc/Ob6 yE9NF/8Ab5hyf8dJs5bXwHXPzm+shPTT9XvDl/46BPfKM+BKfzGmuckH9GP8w2PlGfAlP5jT XOSD+jH+YBYYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABhrvzOXzF9RTfTpN 9ba76W7+ouPX/mc3mL6inGnXw2Vv0p39QEl8pNP/AFL09+kO9RDGO/rWt8jvWTPyk/hL08+k O9RDGO/rWt8jvWEi80HvG+ahkMcHvG+ahkCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOje/0 TW/R3+pSLeTj+a13nu9ZKV7/AETW/R3+pSLOTn+aV/nu9YEwg4b71DkAAAIN5bXwHXPzm+sh PTT9XzDk/wCOk2ctr4Drn5zfWQnpp+r3h3+OgT3yjPgSn8xprnJB/Rj/ADDY+UZ8CU/mNNc5 IP6Mf5gFhgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGCv/M5vMX1FOtOPhtr vpTv6i41d+Zy+YvqKcacrtrbXfSnf1ASVylVRNStPfpDvUQxjvPyrGL+671kx8pZN9TdPU/3 h3qIcxxNuVYxP3XesC88C/k2p+6h9mOD3jfNQyAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAd G9/omt+jv9SkW8nH81rvPd6yUr3+ia36O/1KRbycfzWu893rAmAAAAABBvLa+A65+c31kJaa fq+Ycv8Axwm3ltfAdc/Ob6yE9NP1esN/x0Ce+UZ8CU/mNNc5IP6Mf5hsfKM+BKfzGmuckH9G P8wCwwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADDXfmcvmL6inGnCb62130p 39Rceu/M5fMX1FONOk31trvpTv6gJK5SiJ2S9PV/3h3qIYx39axvmu9ZM/KV+EnT36Q71EMY 7+tYzzXesJF5oPeN81DIfECJ1Jnf4UPsKAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA6N7/RNb 9Hf6lIt5OXNSVy/vu9ZKV7/RNb9Hf6lIt5Oe3W1eiKi9u7o8oEwIu6bgImybAAAAIN5bXwHX Pzm+shLTT9XzDl/44Tby2vgOufnN9ZCemi/+3zDk/wCOgT3yjPgSn8xprnJB/Rj/ADDY+UZ8 CU/mNNc5IP6Mf5gFhgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGGu/M5fMX1 FONOl21trvpTv6i49d+Zy+YvqKcacpvrbXfSnf1ASVyk/hL09+kO9RDGO/rWt8jvWTNylUXs lae7fGHeohnHP1rGea71hIvNB7xvmoZD4gT8m1f3UPsKAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAxVULaimlgd0SMVi+RUNfwnEaPGGTNpXb9VVVXm+c2UAAAAAAEG8tr4Drn5zfWQnpp+r3 hy/8dJs5bXwHXPzm+shPTT9XrDf8dAnvlGfAlP5jTXOSD+jH+YbHyjPgSn8xprnJB/Rj/MAs MAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAw135nL5i+opxpz8Ntd9Kd/UXHr vzObzF9RTfTrbs212/xp39QEl8pT4S9PfpDvUQxjv61jfI71kz8pT4SdPfpDvUQxjv61jPNd 6wkXmgXtGp+6hkMcHvG+ahkCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAYa2VYKSWVrVcrWqqI gHlZJlNix9Grd7jHS8XRxKeL2UMH+XoSG9PcQp9U8rvt3yW61CPoax8ENKyTm4d+lUJDdoTi Krv1SpT+KAbfYs8xW81iUluvEM8y9Dd9jZ0503Qrrq9pFZccxlb9ZbpVUNZSyNVq9U4Udz9B K2i9+rMiwCiuNa3hm54137qJzbgboAAIN5bXwHXPzm+shLTT9X3Dv8cJt5bXwHXPzm+shPTT 9XrDf8dAnvlGfAlP5jTXOSD+jH+YbHyjPgSn8xprnJB/Rj/MAsMAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAw135nL5i+opxpyn/AK2130p39Rceu/M5fMX1FN9O/htrvpbv 6gJL5SnPqVp6n+8O9RDGO/rWN813rJn5Sip2StPfpDvUQxjv61jfNd6wkXngX8m1P3UPsxwe 8b5qGQKAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAXo2BjqZmQQPmfvwsTdQIOy/SXIbblM2RYJk jbMtQ5XTw8O/G5elTr+1fWzfb26Kqd9I0U8S22TJ9Ysqu1ZLfq202q3VLqZiUkqtVyp0KqHZ bUZ1oxc2yXGaoveMyO4XzSOWSZqd1dgO1W6Xaj5VJFR5dmPVrUyRr3wqzbiVF75OuPWuhtFo gt9vY1kELUREb3++R/meZ2/INLprvj1eu7tl2a7Z7PmVO4ejoNWVVbp1ST1c75pVlciucu6r zgb+AAIN5bXwHXPzm+shLTT9XzDk/wCOE28tr4Drn5zfWQnpon/t7w5f+OgT3yjPgSn8xprn JB/Rj/MNj5RnwJT+Y01zkg/ox/mAWGARd03AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAYa78zl8xfUU405+G2u+lO/qLj135nN5i+opxpyv8A62130p39QElcpVP/AFK09+kO 9RDGOfrWM813rJn5Sfwl6er/ALw71EMY7+ta3yO9YSLzwbdSZ3+FD7McHvG+ahkCgAAAAAAA AAAAAAAAAAAAAAAAAAAA4Vdu4pxxfMoH0D54vmU+u4AB88XzKOL5lA+gcNXfuKFXbuKByD54 vmU+gAHcPni+ZQPoHzxfMpy1d+4oHIOFdsvQoau/cA5AAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAD4mjZLE6N6btcmyofZw9yMYrl6EAgK3YvnOn+oc62JX11huU 6zzRRt965V7qk51lFT3G2rS1sDZIpWbPY5NzBbb5arhNJFTV0D5Y3cLo+NOJF8hoetOqKYX1 rbrbTdeXesdwQRK3dOL5wI21a0dySxUs9bpvVuhp6mZHVNCiK5Xqq86p3iYdFrPXWTAKKguE bo6lqq6Rqpz7qRT2YNSscfBX5rjlJT2mZ7WrJBu5zd15uYn2wXWkvNqguNFIj4ZWoqKB3wAB BvLa+A65+c31kJ6aL/7e8OT/AI6TZy2vgOufnN9ZCWmif+3zDl/46BPnKM+BKfzGmuckH9GP 8w2PlGfAlP5jTXOSD+jH+YBYYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABhr vzOXzF9RTnTf4ba76U7+ouNXfmcvmL6inOnHw2130p39QEj8pZ+2pmnyf7w71EDOyG147ymE ud2nZDSt4kc9y8yc5PPKWZvqZp6vfqHeortfsPoMy5Q8lhuEr44JUcquanOnOBd3H9ScJvMc fsbkVHUKrU5muNtpqiGojSSGRr2r3UXcqBe+SddLTu/DchrW8yK3ik4ec1eTCOUPhMqyR3Ge sp286NWdVAvWN032KPUPKF1axSRILzjLqhicyvWNzjeMd5Xdq2b7Y7bNRuXp4YlAtSCIMe5R Om18a1Ka5vY5e49NiQrNl+OXSFJKS70bkXoRZmovrA90GCCrppk/J1MMnmvRTOAAPKym/wBv xy0SXO4vVsEaoi7c684Hqg872at6UNLWPnayOqRqxcS7Ku/QeinOgAAAAAAAAAAADX89y6z4 bYZrteKlkMbGqrEcu3GqdxDYCmnLauNbd88s+IuqHx0cs7EVGr3wOxd+VxX11ymjx/G6qWCJ 23G1d0cdX3VGWb/3XrfqLAaT6X4fYsNoKdtmpJ5XRIr5XxoquU272lYn8gUH2SAVR91Tlnit WnC8qjLe5i9b9Ra72lYn4v0H2SD2lYn4v0H2SAVSTlU5Zt/detHuqcs8Vq0tb7SsT8X6D7JB 7SsT8X6D7JAKo+6oy3f+69bt5Dn3VOWeK1aWt9pWJ+L9B9kg9pWJ+L9B9kgFUU5VGW+K9b9R z7qnLPFatLW+0rE/F+g+yQe0rE/F+g+yQCqK8qjLd/7r1v1HHuqMt8WK36i1/tKxPxfoPskH tKxPxfoPskAqknKpyzbnxet+oe6pyzxWrS1vtKxPxfoPskHtKxPxfoPskAql7qjLF5kxat38 h62IcrfgvUVvyexVFI2ZyIksi7I0swmFYmnRYKD7JCMeUVpRid7wCtngtVNR1cDeJksTEReb nAlzHL1br/aYbna6mOoppWoqOYu6eQ7NxqXUlFJUNiWVWJujU6VKwcgu/wBbNZ67Hp53yxUb 38KuXfoXYtM5qORUcm6KBEkusFyZLIxMNr3cD1bvxdO3dMa6y3FEVVwyvRE/eJW9jaDdV60i 3X900XXOspsb0yut3hp4WSQtRWrtsB4nZluCt4mYbXOb30cSRiV4lvdmir5aKSjdIm/U39KE acl69wZhpytzqYIpJOuFau6bkwRRxxMRkbEa1OhECS6+gAFAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAOHIjmq1ehU2OQBCmbaM1bL5JkWDXZ1ruLnLJJ1Vyua5eleYiC5XzN8 d1Oorvm9hqa6mjlTer4No0RO6XK2OldrVb7rS9bXKjiq4V6WyN3QCAtX9WseyLEm2ewUiXSt qntRIo03Vm/dJU0TsdbYNPqKgrlXq26yKi9KIvPsejbMBw621aVVBj1BTzp0PZHsqGyoiImy dCAAABBvLa+A65+c31kJ6afq9Yb/AI6TZy2vgOufnN9ZCWmn6vuHf44BPnKM+BKfzGmuckH9 GP8AMNj5RnwJT+Y01zkg/ox/mAWGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AYa78zl8xfUU503+G2u+lO/qLjV35nL5i+opxpx8Ntd9Kd/UBJPKSVeybp8nc64d6iGcd/Wt b5HesmblKfCZp99Id6iGcd/WsZ5rvWEi80Cdq3zUPqRjHps5jXeVNziBPybV/dQ+wroV9mtd dCsVVQU0jV78aGjZHolp5f8Ai9kLK1V/dXhJIAFbch5JmGz8a2dz6Jy9CrIvMR/duSdmFrlW psOWuRE50ZxOLpKiL0gCi0uM8oXEN0tdTUVjWdCpGq7nZt2t2ulicjMgsVZKxnSvUtty76Iv dXc6Fws1rrkVKuggnReniaBVS08sOGjkSC/Y3WMd0K5eY9mv1ftWrt5tONWSF7GVK7zMVd9t l3JtvGlWAXRq9d4zb1Xp4uppuRDpZgVgtms93rLHSxQxWyReLhbsjebuAe3n1TSS6kWfFau4 spIaCGKZN3bIqt7hNtDX0VU1OtqqOVNk96pUXLdNsn1dze4ZTarjPSNp3up2LG/bdWqa/WaM 8oKzP6par/VyMb0J1wBeVd9uZNwnRzlFm1PKMx9d6tJqlG9+VV3M8WvmsViXhrMYdOjelVRy gXiCKi9ClM7dyvckYqMuOJujVOZy9ScbRauVzY3KnsnQS0/f2iUC0gICtnKu0yqHI2etniX5 4zaLbygNNa9USC8Lz/tN2/8AsCVQadbtS8Or1RYLxBz/ALT0T/7Pco8jsdWm8N1o3f8Aeb+I HqlKeVz8PNh+kRlzW19C73lbTO8krfxKY8rZzH67WF7HtcnXEfQu4FwMR/u5b/8AlIeueRiP 93Lf/wApD1wAAAAAAAAAAAAAAAABqOrm3Y/um3g19Sm3Go6uJtp/dP8Alr6gK28gf9N33z5P 6i4BT/kD/pu++fJ/UXAAL0KVx5ct7uFHg0dqpYJJI6xi9Uc3oTZSxxH+vFvoKvTy4TVdJFO+ JE4Fem+wiXiAeQDd7iyOpsM8EjKdrXSI9ejct63fh5yI+THbbdDg61dPRQwzrMrVe1OfYl0t PPAAEUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA+J5Y4InSyuRrGpuqr3D7PCz 5ytxC4uRytVIl50A8ifU/DYp5IVvVKr43cLk4+hT5XVLDUTdbxTbeeaHoZhOLXWx3GpuVnpq qZ1UqrI9N1JFdpthHA5Fx2iVNv2QPWxnJLPkVO+e0V0VUxi7OVjt9lPXIW5OdJT0F5yqkpI0 igZcHIxidCITSAAAEG8tr4Drn5zfWQnpp+r1hv8AjpNnLa+A65+c31kJaafq+4d/jgE+coz4 Ep/Maa5yQf0Y/wAw2PlGfAlP5jTXOSD+jH+YBYYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAABhrvzOXzF9RTjTpdtba76U7+ouPXfmcvmL6im+nXNrbXfS3f1ASVyk+fUvT36 Q71EM47+tYzzXesmflJ7dkvT36Q71EMY7+ta3yO9YSLzQe8b5qGQxwe8b5qGQKAAAAAAAA+Z WJJE6NehybGr02GUdup7o61KsNTcV3kkcu/ObUANW01xT2p2WagWRsjpZ3TOcnfU2kADG+CB /v4Y3eVqKYH2y3SNVJKCldv34W/gdsAa5c8Ixi4IvXFopV3/AGYkT/6NZuOien1wRyT2ZvP0 7bJ/9EkgCDrpyW9LK1qr7GzRvXoVshrNbyR8P2XrKWeFe5vKpZcKiL0gVFuHJCqVc7rDInwp 3N5XGv1fJP1BoFV9vzJVTuJ1RxdoAUdTRbWqz7dbZE6bh6PfKRll1Bmtv1ZslPmMzpahKlmz lTY/S5UXvlKuVz8PNh+kRgW+xBF9rdv/AOSh7B5GI/3ct/8AykPXAAAAAAAAAAAAAAAAAGo6 uLvp/dP+WvqNuNR1cTbT+6f8tfUBW3kD/pu++fJ/UXAKf8gf9N33z5P6i4AA0jW74Nbr5EN3 NI1u+DW6+RAl48Pk0fB2v0hSUyLOTR8Ha/SFJTLScAARQAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAADws/RFxC4ovR1JT3TBX0sVZSSUszUdHImzkUCItAb9ZaPH7jFU3aljelV 0OftsSSuVY5wuRb3RdHhE5jRn6LY+2onkp5VgSZ6vc1qd04XRmzLv/pr+fp5gPO5PVRT1N/y ualnZPGtxds5i7oTMatp7hFpw2kngtkaN6u/jkcie+U2kAAAIN5bXwHXPzm+shPTRP8A294c v/HSbOW18B1z85vrIT00X/2+Ycn/AB0Ce+UZ8CU/mNNc5IP6Mf5hsfKM+BKfzGmuckH9GP8A MAsMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwV/5lN5i+opzpym+ttd9Kd/ UXHrvzOXzF9RTnTf4ba76U7+oCSuUp8JWnv0h3qIXx39a1vkd6yZOUu5U1L0+T/eHeohrHP1 q2ea71hF6INupM7/AAofZjg943zUMgUAAAAAAAAAAAAAAAAAAAAAAAAKU8rj4ebD9IjLrKUy 5btBWWbPLNlskLnUcc7OdE3TmAttiP8Ady3/APKQ9cjbSfUvFb7hNBVQ3OFj2wokrFcicKm2 e3DHflSn9NPxA90Hhe2/HflSn9NPxHtvx35Up/TT8QPdB4Xtvx35Up/TT8R7b8d+VKf00/ED 3QeF7b8d+VKf00/Ee2/HflSn9NPxA90Hhe2/HflSn9NPxHtvx35Up/TT8QPdB4Xtvx35Up/T T8R7b8d+VKf00/ED3QeF7b8d+VKf00/Ee2/HflSn9NPxA901HV34P7n/AMpfUp6Ptvx35Up/ TT8SMeUVqni9i0/roW18U9XUN2iiau++4EVcgf8ATd98+T+ouAVX5BViq47NXZFLE5kVXI/h 3TbpXctQnRzgDQ9c6mmg05uTJ52ROeicPEvSb4vQpXHlyUF4kwiK40FVLFBTMXqzW9DufuiJ eN15MtXSyYEsEVTHJIk6qrUXn2JZKhcgSkvM6VN1qqqWSiVrmNYvRxd8t43fbnLSccgAigAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABsneGyd4w1s6U9JNOqb9TjV+3kQ1fT zMm5WydzadIepKqcy778+wG3AAAAAIN5bXwHXPzm+shPTRP/AG+Ycv8Ax0mzltfAdc/Ob6yE 9NP1e8OT/joE98oz4Ep/Maa5yQf0Y/zDY+UZ8CU/mNNc5IP6Mf5gFhgETboAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAYa78zl8xfUU406TfW2u+lO/qLj135nL5i+opxpyu2 ttd9Kd/UBJHKUb/6maeL/vDvUQ1jv61rfI71kz8pX4SdPfpDvUQxjv61jPNd6wi80HvG+ahk McCfk2r+6hkCgAAAAAAAAAAAAAAAAAAAAAAABreomF2bN8fms95gSSJ7VRF252qvdQ2QAU4v PJFvkFa9uOZE+kolXtWLOqLsdL3JeeeNzvvDi6gApX7kvPPG533hw9yXnnjc77w4uoAKV+5L zzxud94cPcl5543O+8OLqAClfuS888bnfeHD3JeeeNzvvDi6gApX7kvPPG533hw9yXnnjc77 w4uoAKV+5Lzzxud94cPcl5543O+8OLqAClfuS888bnfeHD3JeeeNzvvDi6gApX7kvPPG533h x7OI8kerddYpcwvT6+mY5FRrZlVebyluwB5eLWG3Y5Z4bVa4Ww08TURERNj0aiaOCF0sr0Yx qbqqn2YqqnhqoHwTsR8b02ci90DW3agYk1zmuvVGitXZfyqdJo2vGQYtk2lV3tkF5onyyNRG t6om68/cNrfpRgb3ve6wwK57lc5d151PldJMBXpsEC/xUFRtyVbjjWIaYrR1l2oopVqXLwq9 EdsT1ba6muNGyro5mywvTdr2ruimndiXAdtkx+nRPmVTbrPbKK0W+Ogt8KQ08SbMYncCSY7Y ACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADo3v9E1v0d/qUi3k4/mtd57v6 iUr3+ia36O/1KRbycfzWu893rAmAAAAABBvLa+A65+c31kJaafq+4d/jhNvLa+A65+c31kJ6 afq9Yb/joE98oz4Ep/Maa5yQf0Y/zDY+UZ8CU/mNNc5IP6Mf5gFhgAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAGGu/M5fMX1FONOfhtrvpTv6i49d+Zy+YvqKb6dJvrbXbfG3 f1ASXylOfUvT1P8AeHeohjHf1rG+a71kzcpRdtStPfpDvUQzjv61jPNd6wkXngX8m1P3UPsx we8b5qGQKAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAqoiKqrsidKnW 6/ovjUXpELa0ZHlN4zaHAMUq326dWtknqmdKMU68WiOYtYiP1IqHO7q9TAnJldRvcjW1MSuX oRHHYK/3DRjOaekkqaHUapWoiar2N6n75U6ENo5PmY3i9xXLHcg4pLpZ1Rk8zl53qvdAlgAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHRvf6Jrfo7/AFKRbycfzWu893rJ Svf6Jrfo7/UpFnJyVeta/wA93rAmEBu+3OAAAAg3ltfAdc/Ob6yEtNP1fcO/xwm3ltfAdc/O b6yE9NP1e8NX/joE98oz4Ep/Maa5yQf0Y/zDY+UZ8CU/mNNc5IP6Mf5gFhgAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGGu/M5fMX1FONOPhtrvpTv6i49d+ZzeYvqKcac/Db XfSnf1ASVylU31K09+kO9RDGO/rWM813rJn5Sfwl6e9/rh3qIYx39a1vkd6wkXngX8kxP3UP sxwJ2jV/dQyBQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQjrfhmUxZ RDnOGLG64Ro1s7HrzOYneQ8WHVXU3gRsuPbPTp2p12Nn1u1KudkucOMYvQOrbzPtxIzpjav+ saBdsx1ewGk9nb/a5brbm7LM3gREYigerW6k6qV1LJR0VkjjnmarGvdCqI1V7pvOgOC3TGKS uvF/e114uqo+q4V3RFTvGDTrW3EMop4Y6maG3V8m20D05+f5yV4XskjRzHtc1U5lRQPoAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHRvf6Jrfo7/UpFvJx/Na7z3eslK9/ omt+jv8AUpFvJx/Na7z3esCYAAAAAEG8tr4Drn5zfWQnpp+r1hv+Ok2ctr4Drn5zfWQlpp+r 5hyf8cAnzlGfAlP5jTXOSD+jH+YbHyjPgSn8xprnJB/Rj/MAsMDhq7pucgAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAABhrvzOXzF9RTnTj4ba76U7+ouNXfmcvmL6inGnKb6213 0p39QEj8pZypqZp6iJ/8h3qIbxz9atnmu9ZM3KUb/wCpmni/7w71EM47+ta3yO9YF54F/JtT 91D7McHvG+ahkAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACv2skF3w 7VKHUGC3rXUMjGQTNYxXvaidKoh5GqGr0GoGOOxPFLNcnVVarUc6op1axuy91Sys8MU8axzR tkYqbKjk3OlQWS10MjpKaihjc7pVGIBGcOjdhueCUVvq6ZtBcUia51TTNRHo7bvnv6Q4fdsP p6uhrrnPX0+6JA+aTidt85voAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA A6N7/RNb9Hf6lIt5OXNS13nu9ZKV7/RNb9Hf6lIt5OXPSVyfvu9YEwJzpuAibJsAAAAg3ltf Adc/Ob6yE9NP1esN/wAdJs5bXwHXPzm+shLTT9XzDk/44BPnKM+BKfzGmuckH9GP8w2PlGfA lP5jTXOSD+jH+YBYYBOfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAYa78zl8 xfUU504+G2u+lO/qLjV35nL5i+opxpx8Ntd9Kd/UBJPKS37Jun3e64d6iGcd/Wtb5HesmblK fCXp99Id6iGcd/WsZ5rvWEi80HvG+ahkMcHvG+ahkCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAGq1GfY3S5J7X624w01e93DHG9ed/kA2Ouqo6Ojmqpd+CFivdsm 67Ia1gOf2TM6iugtDalHUTkbL1WPh+o967VlDTWyWouE0cVJwKr3uXm4TU9L71iN2rLmmKJE +ONydUmj6Hgb0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADpXv9E1v0d/q Uizk5fm1dzL793rNk12yybD9Pa2709M+pdssfAzp50XnK98knVmtvmUVFlbQSrG5273InvUV e6BcABO93gAAAEG8tr4Drn5zfWQnppt7nvDu/wCzpNnLa+A65+c31kJaa83J8w1e/fQJ85Rn wJT+Y01vkhua21vVz2p2ndU9PlPXWCl0eW2s/K3KpjatPTN9/J5Ct+A12ptmoeqUduqqRz02 4XM7gH6AMliRu3VY/SQ56tD4VnpIUjTLNXETbqdR6Cj226ueDqPQUC7nVofCs9JB1aHwrPSQ pH7bdXPB1HoKPbbq54Oo9BQLudWh8Kz0kHVofCs9JCkftt1c8HUego9turng6j0FAu51aHwr PSQdWh8Kz0kKR+23VzwdR6Cj226ueDqPQUC7nVofCs9JB1aHwrPSQpH7bdXPB1HoKPbbq54O o9BQLudWh8Kz0kHVofCs9JCkftt1c8HUego9turng6j0FAu51aHwrPSQdWh8Kz0kKR+23Vzw dR6Cj226ueDqPQUC7nVofCs9JB1aHwrPSQpH7bdXPB1HoKPbbq54Oo9BQLudWh8Kz0kHVofC s9JCkftt1c8HUego9turng6j0FAu51aHwrPSQdWh8Kz0kKR+23VzwdR6Cj226ueDqPQUC7nV ofCs9JB1aHwrPSQpH7bdXPB1HoKPbbq54Oo9BQLudWh8Kz0kHVofCs9JCkftt1c8HUego9tu rng6j0FAu51aHwrPSQdWh8Kz0kKR+23VzwdR6Cj226ueDqPQUC7nVofCs9JB1aHwrPSQpH7b dXPB1HoKPbbq54Oo9BQLudWh8Kz0kHVofCs9JCkftt1c8HUego9turng6j0FAu51aHwrPSQd Wh8Kz0kKR+23VzwdR6Cj226ueDqPQUC7nVofCs9JB1aHwrPSQpH7bdXPB1HoKPbbq54Oo9BQ LrVkkbqSVElj34F/1k7xTvTnfs2122y/6U7nTzjzH5Xq2+NzHR1HC5Nl7RTpaQT3m0aoxVOS 0E9HRzO3WolTZqvVegCaeUnz6l6e/SHeohnHf1rG+a71ky8o2Vk2o2ncsTkdG6odwuToXmIa x39a1vkd6wkXngX8m1P3UPs+IE/JtX91D7CgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAECcp2PBYYIqitlkpr9/wDGlpGcUu/8CezQr7hmGU2Spll9cxKmN3Ex0z+0 T+CgVarKzUhaGkTOJq6nxhz2o2WHd0j2fvJ5C1WjNPh0WKQPw9kKU72JxuaiI9y/vIdq45Fg 1fbpKKrudtkppWKxWrttsveOlpTi+J4/JXy4rVpNBUqivaknEjfIBvYAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAaxqHWX2jtKyWFnHUd7h3A41Ps0V7wa6UUjeL/R3vam3 dRqla+QbiE1tu1+ulZTq1XuVrN07ziSpMg1RnpnxSUa7SMVrvyPfPHxTsi49FLHR0CMbIqrz QgWK35gQf7ZNVfiv8k+m5Jqnsu9J5PyIE3A1bTmtv9bbJH5BHwTo5OFOHbmNpAg3ltfAdcvO b6yvlgvUdo5MOPVUDFqK2kuqysgYm6rt0bohZTle2W43vRm5Ulsp5KmoVWqkbE3VSk+nNRqP h9Vxx4zXVEbPeRyQ8TEXyKBPenuoeNV9S3Jc7iuM1cnPTUjqZzmQp3kJKXXDTZ23FbKvmTZP 9Dd+BAa6y6tKu64RH9wT8B2ZNWvEiP7gn4AT52btNPkyr+5u/Adm7TT5Mq/ubvwID7MmrXiR H9wT8B2ZNWvEiP7gn4AT52btNPkyr+5u/Adm7TT5Mq/ubvwID7MmrXiRH9wT8B2ZNWvEiP7g n4AT52btNPkyr+5u/Adm7TT5Mq/ubvwID7MmrXiRH9wT8B2ZNWvEiP7gn4AT52btNPkyr+5u /Adm7TT5Mq/ubvwID7MmrXiRH9wT8B2ZNWvEiP7gn4AT52btNPkyr+5u/Adm7TT5Mq/ubvwI D7MmrXiRH9wT8B2ZNWvEiP7gn4AT52btNPkyr+5u/Adm7TT5Mq/ubvwID7MmrXiRH9wT8B2Z NWvEiP7gn4AT52btNPkyr+5u/Adm7TT5Mq/ubvwID7MmrXiRH9wT8B2ZNWvEiP7gn4AT52bt NPkyr+5u/Adm7TT5Mq/ubvwID7MmrXiRH9wT8B2ZNWvEiP7gn4AT52btNPkyr+5u/Adm7TT5 Mq/ubvwID7MmrXiRH9wT8B2ZNWvEiP7gn4AT52btNPkyr+5u/Adm7TT5Mq/ubvwID7MmrXiR H9wT8B2ZNWvEiP7gn4AT52btNPkyr+5u/Adm7TT5Mq/ubvwID7MmrXiRH9wT8B2ZNWvEiP7g n4AT52btNPkyr+5u/Adm7TT5Mq/ubvwID7MmrXiRH9wT8B2ZNWvEiP7gn4AT52btNPkyr+5u /Adm7TT5Mq/ubvwID7MmrXiRH9wT8B2ZNWvEiP7gn4AT52btNPkyr+5u/Adm7TT5Mq/ubvwI D7MmrXiRH9wT8B2ZNWvEiP7gn4AT52btNPkyr+5u/Adm7TT5Mq/ubvwID7MmrXiRH9wT8B2Z NWvEiP7gn4AT52btNPkyr+5u/Adm7TT5Mq/ubvwID7MmrXiRH9wT8B2ZNWvEiP7gn4AT52bt NPkyr+5u/Adm7TT5Mq/ubvwID7MmrXiRH9wT8B2ZNWvEiP7gn4AT52btNPkyr+6O/A6N+1Z0 svdvkoay2VaNVq9Tf1m7dju4qcxCPZk1a8SI/uCfgOzJq14kR/cE/ABVZlWXHVLFbUrK2ps9 BUOWGsniVF2Xv94yYy9knKpjfG9Hsc1yoqL855t+1Q1Tu9rloZ8MdGj27I+OjRrk8i7HR5M+ N5nVaz09yutnromIxd5JWLsnOB+hEHvG+ahkPiFqoxu/7KIfYAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAACtuc0ly1F1gfj811nobdb3OY+ON3NLzd1CyWxG9dps7s oUmXUFS2JiKq1Marzv3AhPDdKaS75Rd7O6+VW0cT0j36WqnQpvnJZpFsl1yTGX10lY+3va1Z Hruq85l1F09zigzGfI9P7jT0vXcXUZY5G8Spv0qbRobp/X4fT11wvNSyou1yVHVT2dCqgElg AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7gAHGy7bbnKdHOu4AA42d+1/wCD kAE6AAB8yRskYrJGo5q9KKdH2FtfP/oUPP8AunoADz/YW1/EYfRHsLa/iMPonoADz/YW1/EY fRHsLa/iMPonoADz/YW1/EYfRHsLa/iMPonoADz/AGFtfxGH0R7C2v4jD6J6AA8/2FtfxGH0 R7C2v4jD6J6AA8/2FtfxGH0R7C2v4jD6J6AA8/2FtfxGH0R7C2v4jD6J6AA8/wBhbX8Rh9Ee wtr+Iw+iegAPP9hbX8Rh9Eewtr+Iw+iegAPP9hbX8Rh9Eewtr+Iw+iegAPP9hbX8Rh9Eewtr +Iw+iegAPP8AYW1/EYfRHsLa/iMPonoADz/YW1/EYfRHsLa/iMPonoADz/YW1/EYfRHsLa/i MPonoADz/YW1/EYfRHsLa/iMPonoADz/AGFtfxGH0R7C2v4jD6J6AA8/2FtfxGH0R7C2v4jD 6J6AA8/2FtfxGH0R7C2v4jD6J6AA8/2FtfxGH0R7C2v4jD6J6AA8/wBhbX8Rh9EzUluoqR/H T00cbu+1p2gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAdXMzy y+ZxDhGGK6B/ErKmpY7Z0a/MT8Vl1pvTNO9WrferNC+5VNa5XT0sCcUir8yAesmmeqixbLnV zRypz9sSXpJjuSWChniyK9VN0kftwumXnQ0Ds8XTqbXLg173Vu6p1FSRNLc1qMwpJ5qizVlt WLbZtQzhVQN0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACsuSXGwYryhY6/KZkVKmVVpXPbv1NPmLNEeZ3pB imY3VlyvDJ3TsXtVa7bYD0Uz3CnsR6V8Coqb78KHuY5e7PeYnvtM7JWt98rU2I59z/hfDw9X uO3/ADjdNP8ABrRhdNNBan1Dmy7cXVX8QG0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA 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 AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//9k=