2 TRILUX LIS - Leuchten-Informationssystem 07 #8&6yDMeRj%7q2VV 6918351 TRILUX SFlow H3-L MRWD LED6400-840 ETDD LLWS 03 ETDD 9 SFlow SFlow SFlow SFlow SFlow SFlow SFlow 510 mit elektronischem Transformator, digital dimmbar, Dali with digitally dimmable electronic transformer, Dali z transformatorem elektronicznym z cyfrowa funkcja przyciemniania, Dali avec transformateur électronique, dimmable numériquement (DALI). con trasformatore elettronico, dimmerabile digitale, Dali Met elektronische transformator, digitaal dimbaar, DALI con transformador digital electrónico regulable (DALI) 50.00 1.0 SFlow H3-L MRWD LED6400-840 ETDD LLWS 03 (TOC 6918351): LED-Hängeleuchte für Einzel- oder Lichtbandanwendungen. Mit integriertem LiveLink Sensor zum Anschluss an ein LiveLink Steuergerät zur tageslichtabhängigen Regelung und Anwesenheitserfassung. LiveLink Sensor IR Micro zur tageslichtabhängigen Regelung und Anwesenheitserfassung. Konstantlichtregelung mit Abschaltfunktion bei ausreichendem Tageslicht. Passiv-Infrarot-Anwesenheitssensor, mit hochsensiblem multisegment Pyrosensoren, mit einstellbarer Ausschaltverzögerungszeit, wahlweise im Automatik Betrieb (automatisch Ein, automatisch Aus) oder Halbautomatik Betrieb (automatisch Aus, manuell Ein). Spezieller IQ-Modus zur automatischen Anpassung der Nachlaufzeit an die Raumnutzung. Elektrische Versorgung über die DALI Schnittstelle des Steuergerätes. Belegt 2 DALI Teilnehmer. Quadratische Erfassung, Erfassungsquadrate Präsenz max. 4 m x 4 m (16 m²) / Radial max. 4 m x 4 m (16 m²) / Tangential max. 6 m x 6 m (36 m²) bei einer empfohlenen Montagehöhe von 2,8 m, zulässige Montagehöhe 2,5 m bis 4 m. Für abgehängte Montage. Als Einzelleuchte oder in Lichtbandanwendung. Optisches System in Micro-Reflektor-Technology (MRWD) mit hocheffizienten, weiß-polierten Reflektorkammern aus Kunststoff mit Diffusorscheibe für ein gleichmäßig ausgeleuchtetet Lichtbild mit höchstem Sehkomfort. Mit zusätzlicher, im optischen System integrierten, klaren Abdeckscheibe für raumseitig flächenbündigen Abschluß und Schutz der LED. Dezente seitliche Lichtauskopplung über die gesamte Leuchtenlänge. Mit lambertscher Lichtstärkeverteilung. Blendungsbewertung nach UGR-Einstufung (EN 12464-1) < 22. Mit innovativem, lichttechnisch wirksamen PMMA-Lichtkuppeln für die Lichtauskopplung des Indirektanteils. Leuchtenlichtstrom und Lichtfarbe fest eingestellt. LED-System und Leuchtenoptik als Baugruppe werkzeuglos in Leuchtenkörper einzurasten. Baugruppe mit Stahlseil vor Absturz bei Montage gesichert. Bemessungslichtstrom 6400 lm, Bemessungsleistung 50 W, maximale Leuchten-Lichtausbeute 128 lm/W. Lichtfarbe neutralweiß, ähnlichste Farbtemperatur (CCT) 4000 K, allgemeiner Farbwiedergabeindex (CRI) Ra > 80. Farborttoleranz (initial MacAdam) < 3 SDCM. Mittlere Bemessungslebensdauer L80(tq 25 °C) = 50.000 h. Die Lichtquelle ist entsprechend der Ökodesign-Anforderungen (VO (EU) 2019/2020) austauschbar. Leuchtenkörper aus Stahlblech. Oberfläche silbergrau beschichtet (RAL 9006). Maße (L x B): 1473 mm x 84 mm, Leuchtenhöhe 45 mm. Zulässige Umgebungstemperatur (ta): -20 °C - +25 °C. Schutzklasse (EN 61140): I, Schutzart (DIN EN 60529): IP20, Stoßfestigkeitsgrad nach IEC 62262: IK03, Prüftemperatur Glühdrahttest gemäß IEC 60695-2-11: 650 °C. Gewicht: 4,4 kg. Netzseitiger Anschluss erfolgt mittels Steckklemmen. Elektrische Verbindung der Baugruppen erfolgt selbständig. Mit elektronischem Betriebsgerät, digital dimmbar (DALI). Betriebsgerät gemäß DALI-2-Standard (EN 62386). Leuchte mittels Tastfunktion über DALI-Steuerklemmen schalt- und dimmbar (Touch DIM). Das Betriebsgerät ist entsprechend der Ökodesign-Anforderungen (VO (EU) 2019/2020) austauschbar. Die Leuchte kann auf Anfrage mit der Funktionalität Monitoring ready (MOR) ausgestattet werden. Das Produkt erfüllt die grundlegenden Anforderungen der anwendbaren EU-Richtlinien und des Produktsicherheitsgesetzes und trägt die CE-Kennzeichnung. Zusätzlich ist die Leuchte durch eine unabhängige Prüfstelle ENEC-zertifiziert. Leuchte 10 Jahre, Ersatzteile (LED-Modul, Betriebsgerät, optisches System) 15 Jahre nach Rechnungsdatum unter Vorbehalt vertretbarer Änderungen, die dem Fortschritt dienen, verfügbar. SFlow H3-L MRWD LED6400-840 ETDD LLWS 03 (TOC 6918351): Suspended LED luminaire for single use or continuous line applications. With integrated LiveLink sensor for connecting to a LiveLink control unit, for daylight-dependent control and presence detection. LiveLink sensor IR Micro for daylight-dependent control and presence detection. Constant light control with switch-off function with sufficient daylight. Passive infrared presence sensor, with high-sensitivity multi-segment pyro-sensors, settable switch-off delay time, optionally in automatic mode (automatic on, automatic off) or semi-automatic mode (automatic off, manual on). Special IQ mode for automatic adaptation of delay time to room use. Electrical supply via the DALI interface of the control unit. Occupies 2 DALI devices. Square detection zone, detection squares for presence max. 4 m x 4 m (16 m2) / radial max. 4 m x 4 m (16 m²) / tangential max. 6 m x 6 m (36 m²) at recommended mounting height of 2,8 m, permissible mounting height 2.5 m to 4 m. For suspended mounting. As single luminaire or for continuous line use. Optical system with micro-reflector technology (MRWD) and highly efficient, white-polished plastic reflector chambers with diffuser cover for uniform illumination and maximum visual comfort. With additional clear cover integrated in the optical system, flush fits on the room side and protects the LEDs. Discreet lateral light emission over the complete luminaire length. With Lambertian light distribution. Glare evaluation according to UGR rating (EN 12464-1) < 22. With innovative, photometrically effective PMMA light domes for light emission of the indirect component. Luminaire luminous flux and light color fixed. LED system and luminaire optic are clicked without tools into the luminaire body as a single assembly. Assembly is protected from falling down during mounting with a steel cord. Luminaire luminous flux 6300 lm, connected load 50,00 W, luminous efficiency of luminaire 126 lm/W. Light colour neutral white, correlated colour temperature (CCT) 4000 K, general colour rendering index (CRI) Ra > 80. Colour locus tolerance (initial MacAdam) < 3 SDCM. Mean rated service life L80(tq 25 °C) = 50,000 h. The light source is replaceable according to the ecodesign requirements (VO (EU) 2019/2020). Luminaire body sheet steel. Surface coated silver-grey (RAL 9006). Dimensions (L x W): 1473 mm x 84 mm, luminaire height 45 mm. Permissible ambient temperature (ta): -20 °C - +25 °C. Safety class (EN 61140): I, protection rating (DIN EN 60529): IP20, 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: 4,4 kg. Connection on mains side is via plug-in terminals. Independent electrical connection of assemblies. With electronic control gear unit, digitally dimmable (DALI). Control gear unit according to DALI-2 standard (EN 62386). Luminaire is switchable and dimmable by means of touch functionality via DALI control terminals (Touch DIM). The control gear unit is replaceable in accordance with the ecodesign requirements (VO (EU) 2019/2020). The luminaire can be equipped with the Monitoring Ready (MOR) functionality on request. The luminaire complies with the fundamental requirements of applicable EU regulations and product safety legislation and bears the CE symbol. The luminaire is also ENEC-certified by an independent testing authority. Luminaire available for 10 years, spare parts (LED module, control gear unit, optical system) for 15 years from date of invoice, subject to reasonable modifications in the interests of progress. SFlow H3-L MRWD LED6400-840 ETDD LLWS 03 (TOC 6918351): Diodowa oprawa wiszaca do zastosowania pojedynczego lub w ciagu swietlnym. Wbudowany czujnik LiveLink do podlaczania do sterownika LiveLink, do regulacji zaleznie od swiatla dziennego i do detekcji ruchu. Czujnik LiveLink IR Micro do regulacji zaleznie od swiatla dziennego i do detekcji obecnosci. Stala regulacja swiatla z funkcja wylaczania przy dostatecznym swietle dziennym. Bierny czujnik obecnosci na podczerwien z wielosegmentowymi czujnikami piroelektrycznymi o wysokiej czulosci, ustawiany czas opóznienia wylaczenia, do wyboru tryb automatyczny (automatyczne wl./wyl.) lub pólautomatyczny (automatyczne wyl., reczne wl.). Specjalny tryb IQ do automatycznego dostosowania czasu opóznienia do eksploatacji pomieszczenia. Zasilanie elektryczne przez zlacze DALI sterownika. Zajmuje 2 urzadzenia DALI. Rejestracja w kwadracie, zasieg rejestracji w kwadracie maks. 4 m x 4 m (16 m²) / promieniscie maks. 4 m x 4 m (16 m²) / przekatnie maks. 6 m x 6 m (36 m²) przy zalecanej wysokosci montazowej 2,8 m, dopuszczalna wysokosc montazowa od 2,5 do 4 m. Do montazu zawieszanego. Jako oprawa pojedyncza lub do zastosowan w ciagach swietlnych. System optyczny w technologii mikroodblysników (MRWD) z wysokowydajnymi komorami odblysnikowymi z tworzywa sztucznego polerowanego na bialo i szybka rozpraszajaca z tworzywa sztucznego zapewniajacy równomierne oswietlenie i najwyzszy komfort widzenia. Z dodatkowa zintegrowana z systemem optycznym przezroczysta szybka chroniaca diody i zamykajaca oprawe na równi z powierzchnia montazu. Dyskretny boczny wylot swiatla na calej dlugosci oprawy. Z lambertowskim rozsylem swiatla. Wskaznik olsnienia zgodnie z klasyfikacja UGR (EN 12464-1) < 22. Z innowacyjnymi, skutecznie dzialajacymi kopulami swietlików z PMMA zapewniajacymi posredni rozsyl swiatla. Strumien swietlny oprawy i barwa swiatla sa stale. System diodowy i uklad optyczny oprawy montowany w korpusie bez narzedzi jako podzespól. Podzespól z linka stalowa zabezpieczony przed upadkiem podczas montazu. Strumien swietlny oprawy 6300 lm, pobór mocy 50,00 W, skutecznosc swietlna oprawy 126 lm/W. Barwa swiatla biala neutralna, temperatura barwowa 4000 K, ogólny wskaznik oddawania barw (CRI) Ra > 80. Tolerancja barwowa (initial MacAdam) < 3 SDCM. Sredni okres trwalosci znamionowej L80(tq 25 °C) = 50.000 h. Zródlo swiatla jest wymiennE zgodnie z wymogami ekoprojektu (rozporzadzenie (UE) 2019/2020). Korpus oprawy z blachy stalowej. Powierzchnia powlekana w kolorze srebrnoszarym (RAL 9006). Wymiary (dl. x szer.): 1473 mm x 84 mm, wysokosc oprawy 45 mm. Dopuszczalna temperatura otoczenia (ta): -20 °C - +25 °C. Klasa ochronnosci (EN 61140): I, stopien ochrony (DIN EN 60529): IP20, stopien odpornosci na uderzenia wedlug IEC 62262: IK03, temperatura badania rozzarzonym drutem zgodnie z IEC 60695-2-11: 650 °C. Masa: 4,4 kg. Podlaczenie do sieci za pomoca zacisków stykowych. Polaczenie elektryczne podzespolów nastepuje samoczynnie. Z elektronicznym urzadzeniem sterujacym, sciemnialnym cyfrowo (DALI). Urzadzenie sterujace zgodne ze standardem DALI-2 (EN 62386). Oprawa z funkcja przelaczania i sciemniania za pomoca zacisków sterowniczych DALI (Touch DIM). Zasilacz jest wymienny zgodnie z wymogami ekoprojektu (rozporzadzenie (UE) 2019/2020). Na zapytanie oprawa moze byc wyposazona w funkcje Monitoring ready (MOR). Produkt spelnia podstawowe wymogi odnosnych dyrektyw UE i niemieckiej ustawy o bezpieczenstwie produktów i posiada oznaczenie CE. Dodatkowo oprawa posiada certyfikat ENEC wystawiony przez niezalezna jednostke certyfikujaca. Oprawa dostepna przez 10 lat, czesci zamienne (modul LED, zasilacz, uklad optyczny) przez 15 lat od daty sprzedazy, z zastrzezeniem uzasadnionych zmian wynikajacych z rozwoju produktu. SFlow H3-L MRWD LED6400-840 ETDD LLWS 03 (TOC 6918351): Luminaire suspendu LED pour applications individuelles ou applications en ligne continue. Avec capteur LiveLink intégré pour le raccordement à un dispositif de commande LiveLink pour la régulation en fonction de la lumière du jour et la détection de présence. Capteur LiveLink IR Micro pour un réglage en fonction de la lumière du jour et pour la détection de présence. Réglage de lumière constante avec fonction de coupure si la lumière du jour est suffisante. Capteur infrarouge passif doté de capteurs pyroélectriques multisegments, à durée de temporisation de coupure réglable, au choix en mode automatique (automatique Allumé, automatique Éteint) ou en mode semi-automatique (automatique Éteint, manuel Allumé). Mode spécial IQ permettant d’adapter automatiquement la temporisation d’extinction à l’utilisation de l’espace. Alimentation électrique via l’interface DALI du dispositif de commande. Affectation de 2 participants DALI. Détection quadratique, carrés de détection de présence 4 m x 4 m maximum (16 m²)/plan radial 4 m x 4 m maximum (16 m²)/plan tangentiel 6 m x 6 m maximum (36 m²) pour une hauteur de montage recommandée de 2,8 m, hauteur de montage admissible entre 2,5 m et 4 m. Pour montage suspendu. En luminaire individuel ou d’application en ligne continue. Système optique en Micro Reflector Technology (MRW) avec compartiments du réflecteur, très efficaces en plastique pour un confort lumineux et une efficacité élevés pour un éclairage uniforme et un confort visuel maximum. Avec plaque de recouvrement supplémentaire, intégrée au système optique assurant une fermeture en affleurement par le dessous et la protection des LED. Découplage discret de la lumière, latéral sur toute la longueur du luminaire. Avec une répartition lambertienne des intensités lumineuses. Taux d'éblouissement selon classification UGR (EN 12464-1) < 22. Avec lanterneau innovant en PMMA, à effet photométrique pour le découplage de la lumière de la composante indirecte. Flux lumineux du luminaire et couleur de la lumière fixes. Système LED et optique du luminaire sous forme de module à engager sans outil dans le corps du luminaire. Module avec câble en acier l’empêchant de tomber lors du montage. Flux lumineux du luminaire 6300 lm, puissance raccordée 50,00 W, rendement lumineux du luminaire 126 lm/W. Teinte de lumière blanc neutre, température de couleur (CCT) 4000 K, indice général de rendu des couleurs (IRC) Ra > 80. Tolérance de localisation chromatique (initialement MacAdam) < 3 SDCM. Durée de vie assignée moyenne L80(tq 25 °C) = 50.000 h. La source lumineuse est remplaçable conformément aux exigences d'écoconception (Règlement (UE) 2019/2020). Corps de luminaire en tôle d’acier. Surface revêtue de gris argenté (RAL 9006). Dimensions (L x l): 1473 mm x 84 mm, hauteur du luminaire 45 mm. Température ambiante admissible (ta): -20 °C - +25 °C. Classe électrique (EN 61140) : I, indice de protection (norme EN 60529) : IP20, 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: 4,4 kg. Le raccordement côté réseau s’effectue au moyen de bornes à fiche. Le raccordement électrique des modules se fait automatiquement. Avec appareillage électronique, à gradation numérique (DALI). Appareillage conf. au standard DALI 2 (EN 62386). Possibilité de commutation et de gradation du luminaire au moyen de la fonction bouton-poussoir via les bornes de commande DALI (TouchDim). L'appareillage est remplaçable conformément aux exigences d'écoconception (Règlement (UE) 2019/2020). Sur demande, le luminaire peut être doté de la fonctionnalité Monitoring Ready (MOR). Le produit répond aux exigences essentielles des directives européennes applicables et de la loi sur la sécurité des produits et porte le marquage CE. Le luminaire est en outre certifié ENEC par un organisme de contrôle indépendant. Le luminaire est dispo SFlow H3-L MRWD LED6400-840 ETDD LLWS 03 (TOC 6918351): Apparecchio LED a sospensione per applicazioni singole o in fila continua. Con sensore LiveLink integrato da collegare a un'unità di controllo LiveLink per la regolazione in funzione della luce diurna e la rilevazione di presenza. Sensore LiveLink IR Micro per la regolazione in funzione della luce diurna e la rilevazione di presenza. Regolazione di luce costante con funzione di spegnimento alla presenza di sufficiente luce diurna. Rilevatore di presenza passivo a infrarossi, con pirosensori multisegmento ad alta sensibilità, con ritardo disinserzione regolabile, a scelta in modo Automatico (inserimento e disinserimento automatici) o Semiautomatico (disinserimento automatico, inserimento manuale). Lo specifico modus IQ consente l'adeguamento automatico del programma di prolungamento esercizio in modo di utilizzare al meglio lo spazio. Alimentazione elettrica mediante l'interfaccia DALI dell'unità di comando. Occupa 2 utenze DALI. Campo di rilevazione quadrato, quadrato di rilevazione presenza di max. 4 m x 4 m (16 m²) / radiale max. 4 m x 4 m (16 m²) / tangenziale max. 6 m x 6 m (36 m²) ad un'altezza di montaggio consigliata di 2,8 m, altezza di montaggio ammissibile 2,5 - 4 m. Per montaggio sospeso. Come apparecchio singolo o in applicazione per file continue. Sistema ottico con Micro Reflector Technology (MRWD) con celle del riflettore in materiale sintetico lucidato in bianco e altamente efficienti con diffusore per un'illuminazione uniforme con il massimo comfort visivo. Con diffusore di copertura trasparente integrato in aggiunta nel sistema ottico per chiusura a filo verso il locale e protezione per i LED. Leggero disaccoppiamento laterale della luce per tutta la lunghezza dell'apparecchio. Con distribuzione della luce lambertiana. Valutazione abbagliamento secondo classificazione UGR < 22 (EN 12464-1) Con cupolette luminose in PMMA innovative e ad effetto illuminotecnico per il disaccoppiamento della luce indiretta. Il flusso luminoso e il colore della luce dell'apparecchio sono fissi. Sistema a LED e ottica apparecchio come gruppo da inserire ad innesto nel corpo apparecchio senza bisogno di usare attrezzi. Gruppo con fune di acciaio, al montaggio assicurato contro la caduta. Flusso luminoso apparecchio 6300 lm, potenza assorbita 50,00 W, luminosità dell'apparecchio 126 lm/W. Colore della luce bianco neutro, temperatura del colore (CCT) 4000 K, indice di resa cromatica generale (CRI) Ra > 80. Tolleranza cromatica (iniziale MacAdam) < 3 SDCM. Durata utile di riferimento media L80(tq 25 °C) = 50.000 h. La sorgente luminosa è intercambiabile conformemente ai requisiti previsti dal regolamento europeo Ecodesign (2019/2020). Corpo apparecchio in lamiera di acciaio. Superficie rivestita in grigio argento (RAL 9006). Dimensioni (L x P): 1473 mm x 84 mm, altezza apparecchio 45 mm. Temperatura ambiente ammessa (ta): -20 °C - +25 °C. Classe di isolamento (EN 61140): I, grado di protezione (DIN EN 60529): IP20, 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: 4,4 kg. L'allacciamento alla rete ha luogo mediante morsetti ad innesto. Il collegamento elettrico dei gruppi ha luogo autonomamente. Con alimentatore elettronico, dimmerabile digitale (DALI). Alimentatore conforme allo standard DALI-2 (EN 62386). Apparecchio commutabile e dimmerabile (Touch DIM) mediante funzione tasto tramite morsetti di comando DALI. L'alimentatore è intercambiabile conformemente ai requisiti previsti dal regolamento europeo Ecodesign (2019/2020). Su richiesta, l'apparecchio può essere dotato della funzionalità di Monitoring ready (MOR). 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 è anche certificato da un organismo indipendente ENEC. Apparecchio disponibile per 10 anni, ricambi (mo SFlow H3-L MRWD LED6400-840 ETDD LLWS 03 (TOC 6918351): Led-pendelarmatuur voor individuele of lichtlijntoepassingen. Met geïntegreerde LiveLink-sensor voor aansluiting op een LiveLink-stuurapparaat voor daglichtafhankelijke regeling en aanwezigheidsdetectie. LiveLink-sensor IR Micro voor daglichtafhankelijke regeling en aanwezigheidsdetectie. Constantlichtregeling met uitschakeling bij voldoende daglicht. Passieve infrarood aanwezigheidssensor, met hooggevoelige gesegmenteerde pyrosensoren, met instelbare uitschakelvertraging, naar keuze in automatische modus (automatisch aan, automatisch uit) of halfautomatische modus (automatisch uit, handmatig aan). Speciale IQ-modus voor de automatische aanpassing van de uitschakelvertraging aan het gebruik van de ruimte. Elektrische voeding via de DALI-aansluiting van het stuurapparaat. Goed voor 2 DALI-deelnemers. Vierkant detectiebereik, aanwezigheidsdetectiebereik max. 4 m x 4 m (16 m²)/radiaal max. 4 m x 4 m (16 m²)/tangentieel max. 6 m x 6 m (36 m²) bij een aanbevolen montagehoogte van 2,8 m, toelaatbare montagehoogte 2,5 m tot 4 m. Voor gependelde montage. Als individuele of lichtlijnarmatuur. Optisch systeem in Micro-Reflector-Technology (MRWD) met uiterst efficiënte wit-gepolijste reflectorkamers van kunststof met diffusorschijf voor een gelijkmatig lichtbeeld met optimaal zichtcomfort. Met extra in het optische systeem geïntegreerde, transparante afdekschijf voor een vlakke afsluiting naar de ruimte en de bescherming van de led. Decente zijdelingse lichtuitkoppeling over de hele armatuurlengte. Met Lambertiaanse lichtverdeling. Verblindingswaarde (EN 12464-1) UGR < 22. Met innovatief, lichttechnisch werkzame PMMA-lichtkoepels voor de lichtuitkoppeling van het indirecte aandeel. De lichtstroom en lichtkleur van het armatuur liggen vast. Ledsysteem en armatuuroptiek als module gereedschapsloos in de armatuurbehuizing te vergrendelen. Bouwgroep met staaldraad beveiligd tegen neerstorten tijdens de montage. Armatuurlichtstroom 6300 lm, aansluitvermogen 50,00 W, lichtrendement van de armatuur 126 lm/W. Lichtkleur neutraal wit, kleurtemperatuur (CCT) 4000 K, algemene kleurweergave-index (CRI) Ra > 80. Kleurplaatstolerantie (initial MacAdam) < 3 SDCM. Gemiddelde opgegeven levensduur L80(tq 25 °C) = 50.000 h. De lichtbron kan vervangen worden overeenkomstig de eisen inzake ecologisch ontwerp (EU-Verordening 2019/2020). Armatuurbehuizing uit plaatstaal. Oppervlak zilvergrijs gecoat (RAL 9006). Afmetingen (L x B): 1473 mm x 84 mm, armatuurhoogte 45 mm. Toelaatbare omgevingstemperatuur (ta): -20 °C - +25 °C. Beschermcategorie (EN 61140): I, beschermklasse (DIN EN 60529): IP20, slagvastheid overeenkomstig IEC 62262: IK03, testtemperatuur gloeidraadtest conform IEC 60695-2-11: 650 °C. Gewicht: 4,4 kg. Aansluiting op het stroomnet door middel van steekklemmen. Elektrische verbinding van de bouwgroepen geschiedt zelfstandig. Met elektronische transformator, digitaal dimbaar (DALI). Hulpapparaat volgens DALI-2-standaard (EN 62386). Armatuur schakel- en dimbaar door toetsfunctie via DALI-stuurklemmen (Touch DIM). Het hulpapparaat kan vervangen worden overeenkomstig de eisen inzake ecologisch ontwerp (EU-Verordening 2019/2020). De armatuur kan optioneel uitgerust worden met de functionaliteit Monitoring Ready (MOR). De armatuur voldoet aan de fundamentele eisen van de van toepassing zijnde EU-richtlijnen en de productveiligheidswet. Ze is voorzien van een CE-markering. Bovendien heeft een onafhankelijk controlebureau het ENEC-certificaat toegekend aan de armatuur. Armatuur nog verkrijgbaar 10 jaar, reserveonderdelen (LED-module, hulpapparaat, optisch systeem) 15 jaar na factuurdatum, onder voorbehoud van verdedigbare wijzigingen ten behoeve van de vooruitgang. SFlow H3-L MRWD LED6400-840 ETDD LLWS 03 (TOC 6918351): "Luminaria LED suspendida para aplicaciones individuales o en línea continua. Con sensor LiveLink integrado para la conexión a un dispositivo de mando LiveLink para la regulación dependiente de la luz diurna y para la detección de presencia. Sensor LiveLink IR Micro para una regulación de la iluminación dependiente de la luz diurna y para la detección de presencia. Iluminación constante por regulación con función de desconexión en caso de suficiente luz diurna. Sensor de presencia infrarrojo pasivo, con sensores piroeléctricos multisegmentados y altamente sensibles, con tiempo de retardo de desconexión ajustable, para la operación opcional en el modo automático (encendido y apagado automáticos) o en el modo semiautomático (apagado automático, encendido manual). Modo IQ especial para un ajuste automático del tiempo de funcionamiento por inercia al uso del local. Alimentación eléctrica a través de la interface DALI del dispositivo de mando. Cubre 2 participantes DALI. Área de detección cuadrada, cuadrados de detección de presencia máx. 4 m x 4 m (16 m²) / radial máx. 4 m x 4 m (16 m²) / tangencial máx. 6 m x 6 m (36 m²) a una altura de montaje recomendada de 2,8 m, altura de montaje admisible de entre 2,5 m y 4 m. Para el montaje suspendido. Como luminaria individual o para una aplicación en línea continua. Sistema óptico con Micro Reflektor Technology (MRWD) con cámaras de reflector altamente eficientes, pulidas de color blanco de material sintético con disco difusor para un aspecto homogéneamente iluminado y el mayor confort visual. Con un recubrimiento claro adicional, integrado en el sistema óptico para una instalación al ras de la superficie en el lado del local y para la protección del LED. Desacoplamiento lateral y discreto de la luz a través de toda la longitud de la luminaria. Con una distribución de las intensidades luminosas tipo Lambert. Índice de deslumbramiento unificado según la clasificación UGR (EN 12464-1) < 22. Con cúpulas de luz innovadoras fotométricamente eficientes de PMMA para el desacoplamiento del componente indirecto de la luz. El flujo luminoso y el color de la luz son fijos. El sistema LED y la óptica de la luminaria pueden encajarse sin necesidad de herramientas en el cuerpo de luminaria como un conjunto. Durante el montaje, el módulo está protegido contra la caída. Flujo luminoso de las luminarias 6300 lm, potencia conectada 50,00 W, rendimiento luminoso de la luminaria 126 lm/W. Color de luz color blanco neutro, temperatura del color (CCT) 4000 K, indice de reproducción cromática general (CRI) Ra > 80. Tolerancia de color (inicialmente MacAdam) < 3 SDCM. Vida útil nominal media L80(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 de chapa de acero. Superficie con revestimiento gris plateado (RAL 9006). Dimensiones (L x A): 1473 mm x 84 mm, altura de la luminaria 45 mm. Temperatura ambiental admisible de entre (ta): -20 °C - +25 °C. Clase de protección (EN 61140): I, grado de protección (DIN EN 60529): IP20, 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: 4,4 kg. La conexión a la red se realiza a través de unos bornes enchufables. La conexión eléctrica de los módulos se realiza de forma automática. Con equipamiento eléctrico, con regulación digital (DALI). Equipamiento eléctrico según el estándar DALI-2 (EN 62386). A través de la función de pulsador, la luminaria es conmutable y regulable mediante los bornes de control DALI (Touch DIM). El equipamiento eléctrico puede sustituirse según los requisitos del diseño ecológico (VO (EU) 2019/2020). Bajo solicitud, la luminaria puede ser equipada con la función de ""Monitoring ready"" (MOR). El producto cumple con los requisitos básicos de las directrices europeas aplicables y de la ley 1 50.00 6400.00 4000K 80 1473 84 45 1413 84 8 8 8 8 EULUM TX721301.LDT ![CDATA[TRILUX 2 4 24 15 73 2.5 216079H SFlow H3-L MRWD LED6400-840 ETDD LLWS 03 TX721301 26.02.2016-K?stens 1473 84 45 1413 84 8 8 8 8 67.9637 99.978385925293 1 0 1 1 1 x LED ETDD 6400 4000K 80 50 .251205786861717 .314473328389462 .363306155586308 .422852330164474 .45884682197065 .503443005422614 .538603667487122 .5672601395801 .587647519340778 .60666251446932 0 15 30 45 60 75 90 105 120 135 150 165 180 195 210 225 240 255 270 285 300 315 330 345 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 97.5 100 102.5 105 107.5 110 112.5 115 117.5 120 122.5 125 127.5 130 132.5 135 137.5 140 142.5 145 147.5 150 152.5 155 157.5 160 162.5 165 167.5 170 172.5 175 177.5 180 323.47 323.62 322.37 319.7 315.56 310.52 303.93 296.12 287.66 277.7 266.57 254.52 241.59 227.85 213.59 198.8 184.11 169.36 154.97 141.13 127.54 114.65 102.41 90.88 79.85 69.71 60.24 51.47 43.47 35.86 28.82 22.24 16.3 10.32 5.72 2.91 1.67 .96 1.66 4.59 10.06 15.94 21.06 25.81 30.76 35.49 40.26 45.36 49.85 54.74 59.24 63.46 67.31 71.27 75.08 78.85 82.74 86.26 89.58 92.68 95.6 97.97 100.4 102.43 104.32 105.92 107.43 108.61 108.04 108.6 109.37 109.75 109.94 323.47 323.31 322.15 319.49 315.46 310.51 304.14 296.5 288.01 278.24 267.16 255.13 242.25 228.59 214.37 199.61 185.1 170.23 155.93 142.03 128.46 115.53 103.28 91.7 80.64 70.49 60.97 52.11 44.05 36.38 29.23 22.57 16.57 10.6 5.8 2.9 1.64 .95 1.66 4.55 10.03 15.85 20.83 25.69 30.65 35.5 40.4 45.26 49.94 54.89 59.55 63.74 67.77 71.73 75.48 79.3 83.12 86.64 89.91 93.05 95.91 98.26 100.67 102.78 104.6 106.25 107.79 109.01 108.01 108.63 109.38 109.76 109.94 323.47 323.84 322.51 320.16 316.07 311.05 304.73 297.15 288.8 279.16 268.3 256.36 243.56 229.9 215.63 200.89 186.31 171.39 157 143.08 129.37 116.42 104.05 92.46 81.45 71.3 61.82 52.94 44.83 37.09 29.85 23.07 16.97 11.17 6.06 2.84 1.54 .95 1.65 4.6 10.19 15.94 21.02 25.85 30.72 35.68 40.66 45.64 50.43 55.33 59.87 64.09 68.1 71.98 75.75 79.56 83.17 86.56 89.93 93.05 95.76 98.38 100.77 102.85 104.85 106.55 108.11 109.36 107.98 108.66 109.39 109.77 109.94 323.47 323.39 322.19 319.89 315.81 311.03 305 297.48 289.3 279.68 268.71 256.61 243.64 229.85 215.37 200.45 185.64 170.5 155.94 141.95 128.15 115.26 102.92 91.32 80.43 70.37 61.01 52.28 44.35 36.72 29.6 22.91 16.88 11.3 6.42 2.73 1.35 .97 1.65 4.64 10.07 15.97 21.14 25.99 30.81 35.76 40.93 46.04 50.86 55.89 60.54 64.82 68.81 72.68 76.36 80.05 83.67 87.1 90.12 93.08 95.79 98.22 100.86 103.04 105.05 106.8 108.39 109.68 107.95 108.69 109.39 109.78 109.94 323.47 323.18 322.03 319.67 315.93 311.22 305.25 297.73 289.32 279.6 268.53 255.97 242.47 228.12 212.96 197.65 182.51 167.04 152.32 138.2 124.54 111.69 99.6 88.4 77.88 68.19 59.17 50.78 43.08 35.72 28.81 22.32 16.47 11.07 6.47 2.77 1.11 1.03 1.7 4.52 9.81 15.6 20.93 26.22 31.32 36.19 41.18 46.29 51.14 56.02 60.45 64.62 68.59 72.54 76.26 79.87 83.39 86.77 89.79 92.62 95.82 98.47 101 103.24 105.29 107.09 108.7 110.03 107.92 108.71 109.4 109.79 109.94 323.47 324.27 322.99 320.74 316.93 312.25 306.23 298.67 290.08 280.16 268.5 255.47 241.59 226.72 210.98 195.18 179.56 163.82 148.92 134.82 121.21 108.63 96.8 85.91 75.68 66.27 57.5 49.38 41.91 34.78 28.07 21.78 16.08 10.81 6.35 2.75 .86 .92 1.45 3.73 9.19 15.8 21.34 26.47 31.64 36.72 41.86 47.05 51.99 56.84 61.34 65.59 69.6 73.46 77.24 80.96 84.4 87.67 87.56 90.73 93.7 96.41 98.96 101.26 103.35 105.2 106.83 108.21 107.89 108.74 109.41 109.8 109.94 323.47 320.51 319.49 316.92 313.17 308.64 302.79 295.15 286.63 276.84 265.2 252.2 238.49 223.47 207.96 192.13 176.54 160.92 146.22 132.34 118.86 106.48 94.86 84.19 74.23 65.01 56.5 48.52 41.21 34.19 27.67 21.47 15.84 10.63 6.21 2.68 .69 2.46 5.47 8.88 12.57 16.47 20.52 24.7 28.96 33.28 37.65 42.02 46.39 50.72 55.02 59.25 63.39 67.45 71.39 75.2 78.87 82.39 85.74 88.91 91.89 94.68 97.25 99.61 101.74 103.63 105.29 106.71 107.86 108.77 109.42 109.81 109.94 ]] JPEG SOLVANFLOW_H_MRWD_03_LLW_DB.jpg /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8S EhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEU Hh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAAR CAQABAADASIAAhEBAxEB/8QAGwABAQEBAQEBAQAAAAAAAAAAAQACAwQFBgf/xABGEAACAQMD AwMCBAQEAwYFAwUAARECITEDQVEEYXEFEoEGkSIyobETQsHRI1Jy8DRicxQkM7Lh8RVDU4KS FjXSJTZEY8L/xAAXAQEBAQEAAAAAAAAAAAAAAAAAAQID/8QAGREBAQEBAQEAAAAAAAAAAAAA AAERMQIy/9oADAMBAAIRAxEAPwD+6liS2ZqIag0Jyk7klDV/sWMmknHgATfkVdYxyNKlflx3 GjLANmpNXmwe00sSAYWWMPdjsW4BlS2O0klDYq4FTvNyo4SY3h2FIAvvYhG0rFgBKRvtA+21 iVO8AScAlaTcBF5Ar7O5LMXFWQpf+4BTM5G8ZJKc2GACm+7FJz4EadwMtTuxFU90hpWYAKbW lld4EfbaWAXnJpKJJfmVhpwwBTBKd2xVlCQpQAJOIwi3EfbawTWX3uKySxJdwqasQrEklLs5 CAR8kgixnBKydySkgLZ3ZCySgARRCFLMErLIAlaRnkRSlAZ7lhiiSmWAZkkokYd7YFXWV8kU S+S3/cYS2kGobKiWdwVmzXtcClCAzDL5Gm9iVKmHBFSU7hsajuFO94kqArD7e5YsRQQ+0vb3 KjKshsacQFKTQARbFuRR3TEfb3BFQTLuCWTXwEICjLJYZDGbgZK9zSVv7hiwGf0ZJGo5BKZv bgAc3koir4FJFyBm+0klCGLTcoC6IJzBcotpkGCbFTMM01AZTUg1m95DKtsbWIKArCU7ng+o L/T3qMJt/wABtdrq/wD6b4PoX4PB9SUe/wCnfUaV7Z/gTNTsrr/fmCUenQvoabn+Sm/waeG8 loUz0+nP+Sn9jTWwgztb9AmHvJrYMK5QNN7g5W/2NbAlCaALu4Q0bbiyMxwBlKVj7BFpNOyR AY2I1bz4CpXAHMBMvCFpg0BPIbNilElFnLAxdbka2sgiwBdLIWyaatAJQoQGVuXyzSsERbeQ MuZ2ZnfuzpEd5BpfAGKW5ac/AOVO6GJZRmAMz+G0oLtbs3ESzDjwARcFPNhViAy04yHyzST4 3BrLAy5cuQ2NYVvkMyAJMzk08QDUoD0NDSsyUZNU2ta4Aklgb7fqSU3NX2QElBWZI0gCJ2FK LlbgUpAlfcLGlZBF5ARwiSc+RWQMq6uzW0ClI2swCIUZL28/YvaPgCWYRIUosSt8gUCTtfkU oeQKFEFSmpEUrywCw4+RGm0xAGYkaVNySk0l7bXYA1D5FKBSlyTV8SBKJkUoJKE9iAmy3coY KAmgV3sKui2YQQKVySnIxwAEsjHIqygDKtMDA8l2sAJXnYouJJNqAFqA9sYH29yo4ACag1ET wIGEpRJGoXdC5v2IrL2HlwNKm4FRKWoiCWZFRF2pKLyRVbcGryMIcoqADS+CiXgKz8NjcoiU RBJXBciSSgqIr7it0U2gDKmZYkQE1CtuRRChkgIiSdySkKHLUF4wLV5aJIIz7e4xLFKQAQi8 yJRIGWt2SSiWajYHmAMtZUkaRNTcDLUEkKmpg1ABl+BjiELUYBqFcAeSi2RXBAZ5BU8o0SAG kl+wJD5wTbm9uwGbXgu3BpA84kKDw/UM0/T/AKhUlS6qdCU6trq/njvB7/bZvk8Xr7a+n/UI 9qS0Hera6x3/ALkpHfp79PpN/wCSnK7G47Gel/4bTt/8unOcHRKJEVhqLSTSwa9r7lHa5Rza koybWHNgjl2AyHc0idNwMTDiDPJtqAakgy3sUQpk0lD5BvLgow1YkoTNFCUgYtLkonLRqPgy 44ArXCBSmWQGfbAMYcw8DFgMYQJQ2zcBAGaVYIS7mrsMKMgV+DNWTQVIDD4ZQvJqLZMxaZAz HbBQosahmW7w7gZL4NQ4vkHawGWnwZa9psgMKmbyZe50nZszClgemlJ/BU78itxi6AFO5pIK RAlwy3I1u4AFcViLkKXYASnCNU0yUEBZGjAq8krKAHcE5eBp3JU3sBQ+CgUmxSh5YGdhpl+E aJKzAhd0K/oPtvkAJWZryhpcIDKUTKNJSpgoKL5AoUwO7Ilz9wIUl4JLOwhkQNKzexJQoFNr v8AH+7krvyLvlElAAsSUGqV+GzK8YAFZQKGlbyUcAEcoYg0CAIjccrYSSb2AFMQSFIlGwE0t wSUTg1nYlhpABIsFfgCKBV2UTgAVhUxYpayXO4FBRGRX5WoBKUApA0olMkmxq2AzAxsPtJqQ L28GZ+xpVdhy2BlOLEaSjuQGWoJKVI0qPJPIXDG5jaLm1jEEBmIQxZObj4RA4uxnwVLiw+3j YASlMINJyPgIwiQtNO5SBbskk5cwBqgis7MjXtvknZgZJYgaeAtGSokZhTLNItwIzEmkUACT Xcmp7CrkyKz7fkDasC352KjKXYI+5r2lVkDKncFBrZkAb4PB9QVe30Hr6vd7f8JqYl5wuW8f J73k8H1InV9PeoU0qp1VaLSVKl/CJVj1dL/wul/06f2N4UGOln/s2i3Efw6ceDovFxCjKMwa ansT2KM+1EagGDWVTmcklaDUE1IVz3LZj7b5L2sDHhWD2t8GoKLQwBKDLUG47mWnkDMNoEav yFoAOVcPaMLuTSiOQCycSEXd/uMxYHcCi8yjOW2jUcoksrkDIQMZLZgZxKLKZbFCiLsDLQXV jSUOSaQGaVKM1KNrG4vJNgc6ksmYhxk6L/3B8gYjLkJwb7WBpc34Ay92HeFAklIHogUkti7c FvAEsCkyjgVgC2FEkkoFARLcaVNw5Afb3Y04yKVrLBbsAUTYlvGDSphZFUtACunYV+VilCKm nZgWwpSypmRS/FewERpKBSWwGUu9jXt+SSUyxAFuMENO9pCKmYbRQ+xJOWahBAlGfuSUDBLw BMlxIpNYIAVkJJfY1EpAZH23jBpyEKbgSUFs2xS4CObgUWIUnzJQBJXZRckQErPuKuyU4ksO eALaC9vcleRi2XYApUj7gmTW7IrLBYk1PY0pi5TGErSKUE1O5qADayKO2BjuVKcA4MeCWDSU EBlWclsGExV0TTF5JfuSWxRYaqjsaSSxkynIx3CVJWtDJLlh4QpKIdyCgEosSUEgqwMWG3BW vYoKcQELBeMlf+w0QtQw2ui/lGpijtJFsSQ1UUXNbGUrO0hMCTUlixpKcFGdiqy1uMbyTUZC m+5BNSTVpkol8DsVGUpJK0mqqbg1K8AHhFtO7FKJuFLsyAJEKcLBUBEPkDMTMkt0O0Cv0ADP ttk1eYKIcgYhni+on7Pp71FpNr+A00nE3Vp2XPaT3rc+b9Sab1Pp31CmmW3oVWX6/ETPaSVY 9fSW6XR/6dP7HR5OfRz/ANk0Vb/w6f2R2i8CFYW7kvhGo2J2ZUZ2iQbNJbklC5AyrrINGozy SSSwBku5pqQCsRvkHdM3kPa4YVlqHwZg0qWUZuBjuWzFWxfuTyBhX2Jo0l2LZgYi1gvDsble 2IMoDPt+5JSnPwM7oHM5AyldsmlOBajuWzAy04gLq0M0qZBq4GbcFG5oPmQMvJCEAZqie4WN +1E0sAc4Ut5M1U7o6e3uZqUq4GWpuZR0VKRl7pfIHdL4RpZIktlYBaG0YL4K3CAsj7e40q0i BlJwKx3FDjIFBUrI07igCnArgkMMB2JKNxSlDebOEBJRfgdySFLi7AoK3BbCluEGcGkFOIeR QRK+wrAReLsUgJWUFF+RK3AEW0ElJtY7gZpm9h3JORaa2AEoJWRboQC7wMXuWCCpWklYc4Qx 3wQ4ylaBbkWMAZahjN8Cp7lsVAnKkmpuaSkzhO5FxNwLRUIVa3AMEERJJbDVFPbAqGpk0ozi S2/YDKwSiYZpT2BLggM4FWyApWAbSZSmRTSyTXFgCTSuFOCiE73ALcFsUFjcDbUKxmR57F/K Blb9xh4khAIKBVrkAK1gNFf22AIvgUm5nAKYaHwALDBGrWsjTVgMYngBTH4AyTsh5KObgCwU SWwyAtWmDMX8ElIxkAi5bskXcAV3gnmBJ7y5AEoTHYkrQSsi6BrcKVZi1KgVTCyVMSl7A1O4 qZhoucgZSzIGkrk1vewQbWJXeRUMsWQGT531RTP036iva6m+nbST4c37cn0vg8H1E4+nvUPw Kv8AwHZpNLvDzzG8Eqx6Oj/4XRt/8un9kdeTHRr/ALnozn+HSv0Rt2QhU1ayMqN02b7k1YqM NEk1kWiSs+wBbIC3JbAZ2JXWBZRcDMP4Da1zXKsTW4Gdgi0mk8ywCsQ4MnWASswrnFihG1TZ mWuAM5UGWosb9tsMIAw+AsjbVwah4AzCd7lFoiBjuQGGoKzyhiZJKaXcDEXJqN5FcEkBlrng klDNODLwABYfgvIA+wP9R9qK/YDDuroIdzbT+DPt3mAPQ7so4RXFO2AKHEJuwqIuSUMV3uAK ZuNL3LY1S5mwElMxuXtysjsKUt3gCSlXJIbik24YBsaVipUSayARcotA3gVYA8jSNNiWMYCK OBgqU8klcIEavsRJTuBCqXFxShNCBmLsVmRDkBuSxJTaxICJXFSsAA/uVKlAbXZgH5c7h7TW zkKdyLhixb8FzFigqpXsTXCKINEGWyTlFsWGQRW9uBySuAIv3N4lZQK16sFwGUWLFTuUSQSR JPYSXf4AocBEo3yZpUFoIs0apai4eBSkgzAtGm4D29wBGmp5D29xWZAzySwMXyLthZAySNJI koArGRcySswJKzcAsmmlFrElYDPNiUcmkvIKwACUI2pjMEBklMmkoUFYDKyWxNQNMw4AAVjT L2xlgBDSt9tgahsAgpElZ3+wBCkIu4NcgreQJIn+xqO5lJJYANiGmRTiwGdzVhpVrByUW0GN 7GkgILfJNwyjcWlJdGYDLvY3F2BUrGDwfUsP6c9RbcJaDct2X+/3g+i3B876mSq+nPUPcqba Dab2e0d+O8EpHs6Nf900ZytOn9kbpV5MdJfpdFr/AOnT+yOrU3EKzsSXcU4TBKSouwbGkuwQ BRNjMW7I2lGA3fIGPAJQba3MwyKI/wDUINNyG8lQfJOcMXlhswB2C2TUAsBWWpQQaCArNXO5 lrJtpYQRl/YDMWDbc3HFzIGGoUEl/ti1eSgDOAV8GmrvgykpwBNSDUY+TQNwBhq09yaNfmQN XAyERdm2lJlREQBmMhDN9ksBEAYeCazJqLQZjtPyB6Cpp5JZZrHcAhkKNbAEbD5IUoQElA7Q KNJAZpTwmhU8IUlsOwEleJRXkjXjIQRZjySFXXAQLsKQl4Aty2JODShgUXukUKIRX8ilkCIf FgkCpupKCVy2AkNl3Kjc15Az7WKTpnA+S8BcSx+wxfBU8yi3MooMpxj5EngNIjaUpmAIVgkI BIQawyAIRR3EgCCiTewe3uAUqzuQpC1IBSv0KpXsFKk3uAJRIRZuRqVypS3AsoolsUldhfAF 23FKcikyUXAFdW2CDXtScosJ3AIRb4FWRIAifJJc4FTMIovIBBMWiSjyBJQDxAxJAFKySV2P dJFEgCuSQ8lHCAovJlTLk0DmbXAlPBJZeCcpyPwAbgp91haUklxkACP0NLebQSQGbu47k1cY gDKpsG0miTtYDCuaSTNGWtwDeQhM1h+Qac3AY8htBfBAGJurglK4NAnMgH6kOHKNO6Ayt7tG Urs0oiME8gVStKufN+pE19P9fXaVozfz+/HeD6cWufM+p3Uvp31BUtpvQatm9oW0vF+QPb0l uk0VEf4dOfCNtWbOXRr29JoqI/w6f2R2StzcApuoKoXdyRUYQzOLDThlCVLuUDwiAchADwME 1Zoi6zThg3JuFOAxNyKPbZ3Mwl3NudjN8GmQw2g0AGWBp4klZAZgINQ9gC6DPt+xuDKWQrDW YCHBupWkysAZiwNXsbjIAYCyNYsDVgCM9w9sLJoLRYDPZlsaa8mXYAS5QPHc0ENyBlYAYkoA 7pZs2STavY0SWQLbApWKFwIFSrMadxSXECryBRAkpSFwssgKVzuNO8ikuJRJQ2pccFRJQKV8 gluK7O4RJCRpqQMmkoccjfcIvHICkUQoSKMOSQEoSZKzkkpGlwmBKkUoW5NwTUrwBRCbJ/I7 ZHCgLgFKJWSgkstBWY3NxLtwZNdyQZvsKSAUiASFLuJdgCYeJEDUcAZSgkhK2wG0kYNXm5bA EORWI/ckoL/bAr7IStBJThgTSiJZJWFWlySsANQBoYAyrDBbluBbdhSkkiwrIAJJ7ivBZQFF iatBYF+ACIRQhLIAygSsBJRO4RcS2AKbsrptZQqxAFuCsthteSAKcOw7F4RcygD22nJLDEgB KZB2RpBF7gGxGvgIALYReWxXe5NbcgEEpQklM9gMzLgh8l3AANEgMpIGjcIN7rAGG7sacGva rg8AZTykUWmTSUSWNgMkUyxypYGYKORaSjuEAR8r6scfTPqCVVVLei1Z57eOe0n1cKO58z6q Vb+mvUP4aqdS0G4pqh/f9+0ge3o1HSaKh/8Ah0/sjqc+jn/smjP/ANOn9kdbcAZS7Elzc3sZ t8gMLYKV3YpE8mgXUhNhi8E1fOAjNuAi0m4nODNWcACJ3GlSmG8BA8fIPKNQ1csqWwM1LcEa a+Q9trgDd8BCmRLYDNlyEd0agPb3ADLU3g27PAZQViJySUTBooswrHtYGmZjhWAytwauaaCJ cgZauUWNpXMPIAWxbSVO7AzhNBt33NmXkDEdwjJvb5CAO/bk0sFljTuBUbipykMXkldASpgf CFDm4QKwpcl2iwxfEBFF/JRy5HwQC1BUqQXZGr7ASTSaVxBTNxwBESVmMWhAVJNQpGLFSr2u AUbjnwKplNbilaQuMtSzSUqLGaZvuajN4IYEtuBjuIW4ChOESxubat4JLuBYwUMypWbjyoIm BKdxLaCWLJBQlCgexpLPuJKABqDXlhTkWvuBJTTJK5pLsCSQBN2gS7QbSlSEWAuUW0ClyUAS QIlOVcYAmrYkNsGkoLcApsTNRwwAKdxgYAC2IUpsyiE8MAjLuRr+XcEr/wBQKlJ5KMmlTDbk IST3Az8Fc0PtsBlK3gmuFYWu0sUrWSAO5JfKGFKjkoibSBmC+YF3tCJKcoAVpFKPA+172JKV kDLuig0lLiS9vcDBXmGaawKVpAzG5JFH3EDJLI0vOwxIGSNWjBnwBbQEdzUFjcDP7llZgSi4 GVyLjz4EI4AogDUN5MtZQEsE1uS4KHNgBJZsyGmeZIDMw4gPbdmmEKIAHawNQbdPcIl+QMwf L+rE39NeownVGi3Gz88rdrdH1eVDPl/VtNT+muvVCl/wuYS7/GUuUgPd0b/7poNR/wCHT+yO py6Rz0Wi7X0qJfwjoBUmvbYPkr8gCViwUX3JsDNStBKyjPk0u6ACVpLYn22Jv7ooPaZa2N8w ClplSMK7gRaixJO5DRhBsKxI0poqMxa9zLUG39ySAxGQpwb9qZmM3AIBq0GlZWgM5iQMk1cY XFwc/AGVSsj3gdmCsgusxfIReDb8mbbhXOIktjo1axhWTgDPttkEoUmtgwoVwMg8GoCAMpST WxNNg09wPUrNot42GE8iBJFt3FLcqQmqlXHZlGe5rYIyhStkSAW52JU2mTS8hTK2AkrTEiHY VZgCNWuCNUqJCsyaSTT2FK7D23iQgdrDSmna4+WaCjIEstG0pyZUbXZnaSGMgUWJ8jFoJcgU QW1iLcBTuySkS/YDKUpmlMXFJd0TyAIaVKsUJpiuQC6wKJWReALkvA3ZR3AEKdxWSAiSu0TR JWAi8oUnCJLuBJSSXDFK3PwSicbACSjyVOBWMDEVZAFTHcUr2SKzyxSiVgB9r+DKSv2G/kkl wBXvJlLMwjcILxAElDzIe1G4tAJAFKjDTJqRThOw5AL8kOQYEQwp7BEYQFBE1MzklDpyBWJE lP8AcbQAErqwxeSu1ITjKUJjtHBX4KEn5ChZvYmryJAEQgS5G8Qi5AyvHgfahhNElAGXSCw1 wbv5JctAZ5B5N8mUsuwB8gaSi1idLyBm5WNdgW4AZ+TWwNJgSQI0UXAyEZ/saUQyiMACX6hG RjYXxIGT5X1X+L6b6+Ev/CeU2l8b9lzB9bY+R9YzT9Mde17baTn3Ky2+/HeAPodFfotG/wD8 qj/yo20tnJjo/wDhNH/pUf8AlR1akDLUAbULcFSlLTAA3EEBOQtBrsC3AO5IYli1AGYLBbtF eOwEpyW0MYsDxiDTLME1FjXYH22AyiV57EQEZd5uaUOzKysRWGoI2Zay0UZhvDBrKRr7A0EZ hE1bA/yhnYAKBb2KHAGETRqA2DTnySVhagtmgMvBhYZt4tbuEJtgZd+wPDNe3uAHpSaGnGJJ XsO7gIE5Tk1BJWJK7YQ3JKw0bjl3QGUpNJRuSwKUgSTIqV9xqUACjdimMbE3GxFMJxeC2BuB vsVDjuCvuMZuCUIjSWCSyiWBS+CAOlOMmHORiVuAU7yP7Fuy2AhVyTcWNK+ABJLOApXFzVKT yIBElSrC1YlzOQIkobbFKV2KALAfy/IrESIAruOBViGN/sAClM87FA24AzH8o3WIHnkUvsBn KGmy/wDQYhilGACnDgkptsNmrkl2gCxgkndMl+w5UgUIBwhamQBJMIGlK4gScootJLFyAkss IvkdmiAIvAwRAUMku4xywyBprmxnLgUm1ySSywBPJLCFLLJflbALZFR9ijl7ABIhStZk1dgG 0xgtrJilDL+ZyAbSUDZBuwBkKnckBLNyakt4gabPABhMI7jeLElEgZvPYbErSU9mAW3JoUrE rppoAavP3KJ5XkbNNO0FEPsAPGwL8QrLgIkDLXwMT4H29wU7AG5PIrIKl3ANrkha5Dm2ABr4 KO4kBmE13PlfV3/9tde/d7X/AArPeZi3fb5Pr7Hyvq2f/wBNdfTTVVS6tJqaVLc2jtPO2QPd 0f8Awehl/wCHT/5UdYOXSf8AB6O/+FR+yOu8ADuENZNReSvkDPYGovIrLsLTV8gZpww52NRa xmIyAYLIhABZboZTkouyVkAbQS8jcnE+SxKN+SIt4GqEoQReFJqIJxcqYy5eUDX3FK0k8WCM 9slZCUWkAUOUZag3Z4Rl5fYDJQIN2gAgmrSKsWUBmFEhc00ZQURZ3MbwdACsNQwZtqbmHe4B 3MvBq4NAepq7yCQrLWwoMiHZilJX2GlY7gWc2gVMXaEotcC9v4vOLkRARpKE9wWMSNLnKAqW O9yUNQhp3CxUqbMSSsLULkmmsGochHhFVgiqncQV0Nt3cCLYkmxpi8gVI0orxKQpAH8rgkML csrwApQVtmWwpePsAJN4yapiLglm5QBU7j4JdkKVwAacDtv9xcJ3YBSsublEtmkrWgv2AGow BpIQMxbIr8xbtxI5A1BlXUlTKWOwpQosAJEldjyUbgXYiStgUARchSmYJLsAIYUROS9vwyYB yS4aNbyUTuARYlEShSSkr7AD7bj8WLkqlLAl+pfzNE1clwBObtENOYBICXDLfAw3eRAykmmS 5dxhklEgHjApCD8gAPujaVgYBEg774G+/wADSr3AAa+3BppZDcAUN4HyslvBbAERdbEk7wMZ LbeQM/1yS3s/kVh3KlXAmg3NRdqAtgAZRsO8cD/LkDEQURI3BgUfhgLObC12JAF9imNhYKNg JrcGhyhA5xDdwi5uO0InTaQMcnyfrB+36Z62qX/4e0X7XxO74k+xa9j431nTP0x1su38O94t 3fG77ID6XRpf9k0fbj+FRH/4o6GOkX/dNH8N/wCHTv2R0QArsFaVkYmeBAyUfYYBdwCIVoB4 NQoKJsBhLvYmoNJJSExaQMglCNtbtmW07gVKFrecAk4kHEMB2MldIV+UDLXJK1kOw7AGTNWT SsiKjLUWyHYasgBYwTwRAxmyeCeTStgCoy1BbGolg+wGWoYbDAMDJRuKV8hhhWYzIW8mwjKW ArHJlqDftUBcDvZueBIaQyUokd4LwiiwEWxIaVZ3wAG0lFtwalxwOFAWK3L+CV85NJNcMLrN yEEWaWC+CWb3FLkitJTMmYXIK6d2KWQJbiFNpY2AaVkqVmUSVsit4YE1JUblSoTew4+QKnf9 xJYLwBDTixJO4qN5AInZF7ct42HYlnlAX8opXHYlTadwJTFySbLdo2rIDCVm+DSpTVyvwK8g G8DCjBJX7lKakCS34KmeFA/sXKQAkkNobLYYtIAijYUkySyAK2GK3wSvYQJckKRQgMxtIxsS FqUAL7kt+4pQUKeQBThjGB8ElIEEEk0KyARfIrPcZJRF0AbfAKPA25JKZgCRElJNQgLyDUr9 hUpjCve+4AsYLY1TdeCV00Bku7KIZqJ3AyWwpclkA8Fcm9lZDEMDIqMMUlMBEbAEdxShPcmo ktpAFhvgm7iSuwCyJw5clFpJqUAA+6NYJLkAa4BrtI8la6APOCcMUtg3AES/KTvJ8r1/17pv StN6bX8bqYlaSeO9T2/cDv6p6r0PptPu6vqFQ1TPsSmpqeDx9P8AVHoWu7ddRpvjUpdP7o/n Wt1Wr1uh1PV69U6utFdT7upWPHTuS0f2Lp+s6PqP+H6rQ1OPbqJnohrY/jFL7KT19N1/W9PH 8Dq+o01sqdRpFH9b57jFnDP5x031J6zpr/jHqL/noVR9Lpfq/rUv8bpun1FvE0sD9nFpZ8f6 zpp//TPWupuFRMKycXu9lu/B5On+runq/wDG6LVo/wBFaq/eDn9QetdF13oPV9P071f42ppx p01URfa/bP6AfoOjX/c9B2/8Kj/yo6vJ5PTus6SvpNGmjqtGqpadKaVSs0j2JSpX3AItMgPt ZJNgZ7lG7Q7YFIDCzDLuLyTW1gMxaQfJtglCgDPcmiwy2kAqDwaeGZStIFYJ2QhmYAC3GCf6 wBPJJJrgNrlE4+S6Ky3BooXugeZAyrl7S3xAtx3KyPIQiFXAzFrA085g0QGHyUbC8k5AxCmw b3NhAGIzBGmgjuBlpmWm1k3cGg07tw2Surot42H5DKeLMhW40qAo9vcvzfApR3Kl5Ab8GViM wa2bRLEGVKVgVi/uSArb5GlKb3KB3Ai+ZLYaXYCpUoWlFiFoCKmdxSSTyym3cCiwxFiSlXJK XAEszIzmQfApJLkC2sSusikNKtIEqUyUTixJSjSxeEBJQmRebigBQ8ZJZlmlbARdgWCm8DaY ckrNgQRKh7ZNZXcaVsBnaEKW5qAShRsBWgl4+xbEgKlQy8uwwr9yxbIFnDCObiruGN7wAJQO EXtleCVpgAuKVr4JqCQEQpWe4pR3ZcGU7QkUX7Gn5K25BRJmOxqdkWbFAkpJLuKtYvxX7jAe 1mi2jLgFgCvsih8k79hVMb2GAyihMYUt8lEQigauUTlk0hS24IDkqVFxiUyhQUEfBQntfcbP KKlZ2AkrOLA02+YFoF+wFbgHOxq5XTcGRlKeCaTQ2iYJKJuUZgoixoRgzgEaalZCYwMGY7kz Su+4RdkBBJIQgCYalVFFFVddSpppUttwkjy+q+pdJ6b0/wDG6rU9s/lopU1V+EfgvXPXOr9U rdFT/hdOnK0qXZ93ywPseu/VM+7pvS3bFWu1f/7V/U/J6jqq9zqqdVTltty2yyxdkyW4PD0n /wC21/8ATp/8yOKzB6Olt6dX/wBJf+ZHn5ZLdHSk6Uux56GdqarEswd6KmjrTUoyeahvJ3oa VgOtD3R2orOC5NU3aL0erTqTzf4PToa+ppX0tXUo/wBNTR5aMXOlL4ZZdH1dH1T1Chfh6uup cVRV+569H1/qqV+OjSr+Gv2PiadTOic3RR+j0fXaKo/idO1/pqn9z06fq3SV/mddHmn+x+Wo qud6KgP1Wn1XTV/k16PvB1TmmzT8H5ahyjpp11Ur8NTT7OAP0ysHc+Ho9VrrGtX8uTvR6hrr Lpq8oD6lox4CDxafqF/xaX2Z1o63RefdT3aA9EOQya2lPN1BlWAIhi8EnYEpuApRS5MRLN1K xkBiEZwXYgDbBS5jYWEPsAWkmllEkawVKzHcIh5NNmW4ZTBGSF5gmuAjMJuZLsMAryiKy1sR p8zgy2yojNSk0EAYhE1Pc00sARddoRJKCtsLZUSbRrsZo3N3SlhWU5TNUqJkkshkipKwxEMP 2N/m+CDDNbEQErso5IVe4F7eDVlglN5KLyBKZlIVN5ZJZJSBX2FKcEpSshAIFQi3YpAEGlG4 JCkBqLX2D295GlQIGUs8j8eRjgqcdwKlfoLX4QpHdqQJ+S3YpXcbCkrgZUGrRdBg1lYAPGCU zcUvixJTyAbMk87mtoMu9gFKSy3wsEo5FJQwBIVG4tQEcgMbIk2rFTYYuBJymC/LiBi0Ir4g uCUzklaUW4pJlBZ1IUs8DjCJAZy+SNLJLAA/JJKOBTsVuACXN9ihtPYUoIAahyVOJYl5Ale8 GgSkNgD2okocyJASUEvIxBP9QAoFZAAczBJQ5EVMXAFuDjgdu5AFnsKsSUClm5BmO5O6a4Fz wSQ6M3SbJLFp8mkWxRmFOC5fIxcsyAJRKRXiGXhHPqdfR6XQq1uo1KdKihS6qsIg01Hc/P8A r/1NodA6un6NU6/UqzczRpvvy+x8b6g+p9brPd0/Qe/Q6fDrmK9Rf0X6n5tEHfrOp6jq9erX 6nVq1dSrLqf6LhHBC/IJwZgiqwMhfg0PL0v/AO36i/8A9X//AEjzHfpb9Bq/9J/+ZHnXBJMF SdqWclk0s3Fg7pxg6UObScKW4GmTI9dDcQaoctHGl2ub08lg9dDSsdqalGTx0O53oasXB6NP Nrnel2PNTUrnSlyUdqeUzvQ1EHmp5dzdNSA9VLZ1pqR5aKpeTunIHamrPk60vY89DudaKpQH dOLCu7OVNXyakg+1oW6eif8AKjbiDPTr/u+m3/lRvJRmF8gsGoKAAzVmTUAgMu94K4vIAD8E ogUW0gZfBS5IrJgW0ElCJO8opvEFicZeRmGx2YR7rlA8cwCdnYWklkIsQHZl+o4DbkqMvOAN tGSKGgUXF5gGuCo707lVgokUFFKi6uU9hSd7yW8QZVXJSs7lbZkluAwap35AkrdwNU2Qe3uX t7i1O9wCHNjRblhcgWGLSK0SMPCAosVORVpLYCuXgUpWCSvDAEuTXwTUKTScgVLtEEoK0sVv yBXBTF0hTTb7CoiwESyS/RilIEp2KOGKth+Sdr7gZmdjaQJRYkBCltZQJcgETPAtQUcIcbAF Kcx9xxKQNQjVCyAUxcklDYqI5HaSgmErFHNxSLfGCggXYleqRWAC94RUzuhJb3kAXHA0pInM ckBIiFgCll2guSAt2OCl4agtwFKwLceQe4EkSRQKUWAlYvJRJKyaAIJjfkgJ7ghIAgf3JW3L kCVkCwO0grtgHgZuTQoAywRogMlvDFqQuAgKRQAeS7Y7i2qU22kkpbex+R+ovqynT93Tel1K qvFWv/Kv9PPnBB9n131vo/SqP8Wr+Jrtfh0aXd93wj8D6x6p1nqmv/E6nU/CvyadP5aPj+p4 tSuvV1KtTUrqrrqc1VVOW33MxG5BJwakzkiWaIVYzYSjSQmacFsyWaPJ07jodb/pP/zI8fuz g9Wh/wADr/8ASr/c+cTFx2pbxJ0pbRwodzrTUpgtpXam1rG1g4J7Hal2M2Yjem7yeim6Z5qc LsdqKuGWjtRk70nmofe5002sDo9FLsdaKjgqotJ0pdoY0eihpG0724PPQ+Hg60VPJod6G5R1 oqTeTihpcOwHqobk60u2Tz01T3saoYHqoq2k6J2g89NSg1p1SoeQP0PSf8JpR/lR03sY6FT0 ei/+RHWO4GGob3KRakosBlzPJTCNVO0xuH9QAy12ubjuZcwBmMkjSVsQZWQCLsEsmkaeGBz8 QnI3m5QPNrlgzIRPk2lAPkJWfamy7CtyicinGWoUyZvLNNQ2QNZaJqc5JFyUHtYW4NbGWs3I O25NQpuMJXkEFVhSuBtX7QQZSlO4q+4JTKHa1oAaXHEcklPJJLk1uBLEAmV+fsKuAouRUXJY AlTDdxViGlSuQBYJWFqGKsBUy5/YaVfwLcEqbPgCUIQWUa8gCEl2ZICUFsKU5KPuBJSsD+yJ f7Qq4ApltOCSQw4sSVgKnhlJZyMO9vAFDeBpUuGScFTu3lgKWVMlG8YJK3JXuXBOYgnKwNKv 4K7bvgAvwMKRWLk1JQRDkL8mklvcYuAbEsSS4FqABFa4yACr2KLTsT7WJgT5KexK7FYAoJKA kV3uBYZfuSggIiw3JLAERLJfIFeJIZ3LMgBJEW0ARcosPsSAkoIYh3KHPYAFREsNoICLd5KC SkAS7iXIpIARFsQEeX1P1DpfTulev1eqqKf5Vl1PhLdny/qL6l6b0z3aGh7eo6vDoT/DR/qf 9M+D8D1/WdT1/UvqOq1XqajspxSuEtkTR9L1/wCour9Vqq0qJ0Olm2mner/U9/GD4zIrrMkE SRe4gKBgO5pgZg0ZW5IlgVcXgk5BCXR49L/guo/6Wp+58xVTg+ppf8J1P/S1P6nx04JJo6pw bTtY401I1SyyYrvpuHMnamrvc89Lk6UVcE6j0UM6UO556ap2udKGQemiDrS7WPPQ+50oqvks uD0UZk6pzMM4Uu1sHRNEt0dtNnROxwpfB1pq2m5sdqK7ZOtLPNS/udaG8yB3Th2O1L7nlpql ZOtFTkmD1UVeGboqyeempcmqHwUfqfTpfQ6P+hHWOHJy9Lf/APTdBvHsR6IAwlKI00psZiHl AZiLSVng0CumAXJpDFrhaLACVgixpKEDsgMB2NxuZSm4FsZSnc08BEO4E1aZDCbNOYL5Aw7P I7lySyWAaCNkzWxWSKmM4swjxAu7BpSQFzLcm3Oxlp5gqO0BEYIcGWklAgrKBWANfYosFKtH ApQBJQSUOwtWgdgBUrds0rh/KMWlgSQkhp34ALwNPZYEcYwBU42Gn4gmpyVkAkknkWmUcgWV JJWIgK2BgFk0/wBQKm0laYJZFKwAhTuSi4gQx3BKZNRO4BCgUowELZjeJ+xeilrJLlm8mVPg AvsaRJyQBlcCQwUSWSgkU2AogkiG4AlIpQSX3ICIt2S7ASJblsQElYVjwEDEWYEr8g0KXJZQ EseQ3gbRYn+vIElyPLeGEuclTKbnAEn2JKbMlN4EAV5UPxyG8migCUYmVIK42iE4LkASZYfk 0knuZiUAv8oU/l7ilO8F+wAllf0JKMi0ktmCAlebEkiiSictAUbIo7ilaNmfO9c9Z6P0jR93 U1OrUa/BpU/mq/su4Hs19XT0NGrW1q6dPToU1VVOEkfifqH6r1OoVfTemOrS0sVa2K6124X6 +D4/rnrXW+ra3u16vZo0uaNGl/hp/u+/7HzjFoCaIiiLJJiS3APJrm5R9ymxLdErJmZJCkWT AJmk9gYKygnRRc1IU4PreieidV6hUqnS9PSy6nwaH57SX/deo/6er/U+Mj9T690mn0HqHX9J oz/D06K6VP8ApuflLyFbmEwoq7mY+4UcTBJMHoVUM3p1HFYbkaau5PJHr04ydqdTT99VP8XS 91LipfxFKPHp1m+sp/7XpaVNdaaVdL1Ka1PvpUyv1WS2D30U1R7va/a1ZxY1RhwePX0FXXo1 6D0qG2lW5ahKl2cNNXSuu2w9Iuqr6rqtOvU6imihUrT9/wCJyk26k3MpyvsyYj6Ok3hnRHg6 HV1tbS6iXpuvS16tOaqGk0nwnZ3ya6LrK9X0/S6tdO61XT7qqaK1bOJzgQfSTj7GqXc8mj12 hqfwLatH8dJ6bq07VTT7olN3iTp/23pFKq6jT03Tlaj9jX/5QIPbQ01Dsbpq23OFJulyaHel 27nSlnmpdzrRVLVgO9LydNOrY40VHSh5IP1/pF/S+nf/ACf3PRi2Tzei39K6bn2f1Z6qmygc TBlI28MIvcDLdwWWaUmd5AEu4LuaLkDIRKuzUE+4GQtwhwmABtGQGrJJAZZRbKNtwYdqrABb SO43AxEuORdsqEECWJWWrklyaRlw3bbJUCsFtzVpwDgDostNElA7s1+5lpiLSaSnsCXKNUt8 AXfgUlEMihy5YCkRK244gASleDX8pKxUpXAUvsVPYRSSzYASlmkkvIJS4ZpICLdkmKAkmiIU rRhgG7GmztYaVmS2hgVNNpQx8vcrrwIEDsP6FsAK0iKUrgksXAVLmSpdoIUlBRlr4FLkY/Ca sUZTlu0iRK4F8C1bkogVcAiCjuKyQFkMoVYkvsAQKIrxYCeCv8iCVwJc7DFuxJEBQVUQVO40 pQwBBuaagkkARJfyv9DVOGg27vcAVihcF2NRwBJWxIJSv6kknkUpkAS+5RG99xTzuWe0AG/Y luLUvFiS8oAS7C4Vkh2a4B8AXtYJu6HCjcVCpuAJuLFndIc+CSSyAU4eGCNL8xKGtgM/yltJ w67rOl6Hpquo6rWp0tOnd5b4S3Z+C+o/qfqfUvd0/Tqrp+kx7Z/FX/qfHb9yD7X1H9W6XTOv pvTHTq6+KtXNFHj/ADP9PJ+H19bV6jWr1tfUq1NStzVVU5bMITNoEIXAWCElEEUEClIPFrjS AhkbXIkgI7jsKyNri3BiDpoaWpq6q09Kh11N2SPd6P6R1fqWqqdKh06e9bwfufRvRuk9N00q KVXqb11K8lHyPQPpemlU6/qF3lUH6RvT0aFRQlTSsJItTVhwrvfscak6m3VLfJOD8z6l6HX1 PqvU9a1RqU6rtQ3s1EPk+Z1H0x0rT9/ptVD506ql/Vo/b06Z1VEbAfzLV+l+jf5dbqtFzipK r+x5tX6W1VP8HrdKtcV0On9pP6rVpU1L8VFNXlSebU9P6Ov83T0fCgo/k+t9O+qUT7NPS1f9 Gqp+zg8er6Z6jof+L0PUUrn+G2v0P61qekdK2/a9Sj5k4/8AwiqmqdPXjzTH7AfyL8VFXtqm l8NQdqa5Vj+o9V6dqU0Vfxf4WrSlf3L3fuj4+p6X6bqz7ui6Zvmmn2/tBOj8Vp1ODrp1w004 fY/S6v096fU37dPW0v8ARqz+6Z5a/pyi70us1Ke1emn+qZV187R1q6U4qzmbyPTrR0lqezQ0 l/FfurVNMJuIm3Y9VXoXV0z7Nbp9T/7nS/1Rl+leo6f/APjVVr/kaq/ZmcRwWjoR06opdC6d zp0qptfldMX2hj12hV1ehC16VqUV016Tr05pmlzFXKf9t0VWnraT/wAXS1KP9VDQ0VdxLg9t FfNnFzqqjx0aneTpRqWLLo9Kqubpfc4U1S+x2pczco60VM6U1RUcKW4N01WuB+39C/F6R03+ iP1Z7In4PF9POfRemvb2v92e52pyAQggrxyPHYAUtWQe3gb3gF7kBlzyUQNS3YQAWMmgVqQA GpZpYsD3Azs0SUJi7OQSacgZZI01JlAWwNb7jzBXAyVGe4vNkG2AF5MwUR3HyVGZlk0KS5D2 2KOizIpxMIGvkaZMqUvtwK7kKAiLwhStHAErbCtwvwKmLgQxaSTHYCpRpYl3KMiBU7kiu9iS /QBIRTz4AIauhSjzySxOxW3sBPAqNySyIFbYvgkpNAZajc003MskomES5LglankkowvuaB3A QUz5H4JcFCg+SNJWAlHkMShSJYwBEl8l9yumBbFyQrcAFK2QV0KSewAKcB2GlW/9AEHhXsxt JWiMAPt7mX4G0X2GmbgCcYK0bEpjMPcYQAsSPtv5L2/BQtmAx3hEt7hTvaRSa8AShblvOxKm RiIAHEWZJN5NZ3BK1mAJRuXtnJRmwpPcChKxQvJNQ9ygCSKMxcZvCQJuLoCgFTDYxwSXLAlG wRJqP0M6ldGnp1ampVTRTSpdTskuWA7TMHw/qL6g6P0ml6VLWv1UW0qX+XvU9v3PhfUf1dVV 7ul9IqapxV1MXf8ApW3n7H5Cp1VVOpt1VNy23dmR6vVPUer9S6h6/V6rrf8AKlamlcJHmDaA 5/sSzRojIkwSBZYlc0DcUSkZJaGLGUSYoSYNBBHs9N9P6nr9VaehQ7uPc8Dg8lFNVdSoopdV TwkfqPQPpavVVPUdfNNGVRyfb9B9B6X06j+JWlq67zU9v9/7k+pq6ip/5nxwUWlRo9NorT0q aaKFskc69SqtNKUjNTdTmpikBmmlRZI1TTOxqmnsbgApoQwhCe4GXYpyW5yr1Uvw0/iq/YJR XFN6mkjGm9TWq9tCap3Z10enq1PxakvhG+sp0+n6X+JXWqaaL1L3Kmn5CutHSaWn07evUlS1 F1dnzPUvSuh6dfx6uh92ll1UVOV5R5//AIlRq6tOpRrfxX/K05SPZrepV6mj/Dorp9zX4rxY D5FVHpNT/wAN69Hzj7mf+wLUv03W0v8A5dVf1R3rfT11VOqlUKlw3S4lh1FOho9P77e+JU7E 0eP/ALF1Sft9mjW5wq4/c1T0dfudOtpPSe1j09CqmlqVJVtx7ZVlG57lpOpuvUbbYo+ZR0Gs 1/h69u8oxq+k61abr6fp9b/7aWfb09NRLsuDvTQ47Cj8frejaavX0FVPeh1L+55KvS+nvFev R5ir+x+8gzVp01fmpVXlFH4F+mtfk6mh/wCuhr9pBdD1P8q061/y6i/qfttToulrbdWjR8KD y6npnSVYprp8VT+4H5OvR6nTX49HUS59rMUVJKG7n6h+kU//ACteunyv7Fpei9XqVJVdRR/C m7dMv7NAfS+nL+idM5/lf/mZ77b4MdLoafTdPRoaSiilQjrGQMwTUjEKQAyORgGowBiHMfYf a9zVnsDcAYqUOEGB3BrIBuW0iCtYA+Sa3uL7BDAyrZBvKNMzEywDwUbGlZGW5vIAoUh2Fskg BRME4wtiIBTgy02s4KJk0y6Hwze4LdTgUQSfYdo3BSk5Q7f1AUKTWSIC8Gkmk2SVnyS2Afam rilCCniR/wB4Asi7Elm6FL5AiaWzYq/wU9gDbubX6GciwKnFxgkrZEAVhRJTua9vcDKVomDY KJe/cl+pcCn8olNWxeB3KClZFvgiAjW4JJIZtAGTQJbCBKWST5JXJAS/MyJCk0BK9it4QLY0 AR3Kmb3KYgVCTgCUcX3JNrBXljlgZ3mf0NK8pXkoixKU2t2AdzV5/qCVpf6GosBl/qMXtwDY +QJTDtbYU4X9AvENmklAApScZLLuyqGJzcAxjBRF5bRRHwKcoCRZsiSu7kgJU2zgH7pEWAJu 4RO0DDh2K/tAkouKwCwUQ4lgW18FyN3aLn5j6l+rOn6D39L0Pt6jqlZ1Zo0/7vsQfX9a9W6P 0np/4vV6kOpfg06b1Vvsv64P51696/1nq9bprqel0yc06NLt5b3Z83rOp6jrOpq6jqtarW1a 81VP/cLsYRm0IEt2JOALeBDeSy6Iid0ajItGV5RSRFAKIZANzd5i7bOnRdJ1HWay0un03XU/ sj9x9P8A0zodEqdfqo1dbMbIlg+F9P8A0z1HWNa3VJ6Wjw8s/bdL0vTdDoLS0KFTThs61atN ChJKMJHF6tfumf0ANTVbtRjkwjdPuqzTS/0OlNFL2a+SjlTSzrSlB1p0pVmP8CvifAHIGzdW nWk/wv7HKqQB1cGaq1Sm6nC5GqpK25zadTvFS4kg4+/V1qvbppqnd7nu6Po1Qvc/u9/BjQrp 06lNDVPbY9H8bTrxqKlcOxRuupU0umhKe5+L+ovRPqT1TqHVq9R0lfTJ/g0KKnSvmVdn7JJN WqT8Moq4A/nT9J9c6Ne1dDq1Jb6bVR9b0v031XX0f42pp06EflWt+FvvC/qfq9Wumi9T8Lc8 Ov1NddXtpW+NvkD5z6PV06X/ABtTSluW02/tYxp9ItXV99alJ4asfRp0HVU663PY70aNsW4I OOlpKlfhSxk6UUJXydqaItBpUxsUc47GqUaMtga2ObKTLbYGa3dEqXU4VMs6aOi67uy5PTRR TQop+4HHR6dJTXHg7LfsMS3/AGB5YBiQUQaBoDOLDFnYWZc3QB+4RfNxXcl3AI3QQowL5J3A z7eUEZsaUzBLe4GIA01ARlrYAVkZiGzbUGWAEMA1IGY/UPbkWlYngDIRf9jVThQCfa4AyiGa blGewE4eGFrwV9gcSi6OyFWBZY2iUQQ+20MqeBAhpsSRpKUALFhpxKRU5waQFCWCW5U7yMMA aew8klA0gNuCQJuW2KQEaMpcigJKzagUiNXvuARGDW4JzaC2goRYJwK3KJLvJEvDGAJIYBXu TUAWXCHwXxJLgCIkXlyBCueRSte5f7sBA7u4pXwXNgJYIthSlcAFvkaYT4L29waaVgFK0lKX ZisdyXyBNSyzM3JJt8Mfa5YGUozg0phpFTO4pQgCJwSXKaFcrconcC8EUSSSQFuSUYYxCgk4 YAQzmxOHeALMSWCduB2AEpKLNkr9hVvABtJOBatiwNWkC3OPWdV0/R9PV1HVatOlpU5qqdv/ AH7HzfqD6g6L0jTdNb/jdS1+DRpd/L4R/OfWfVuu9W6n+N1epKX5NOlRRQuy/rkmj7X1L9Wd T16r6boPf0/Su1VWK9Tzwux+WXY0SUJmNGTSMo2KEAixFkwJItoEWiBYZpYdzJIJYgkSWWde n0dXqNRaejQ66nsi2jmfb9B+nuq9RqWpWnpaHL3PtfT30pRoqnqPUIqqyqNkfp3Vp6NKoopV KWEhg8/pvp/Sem6Ko6eilOL1bs3q6u1P3MV11VtyVNEgEGqKGzpRRCOtGnKwUYooO2np4hHT To5R106JWQMU0JbHWilI2qY3CqqmmyuyaGyUtwYVNNdV0o8HTRppd6/xM9S09OLUoQcF0fTV 03015MVemdK/5Wj1qhLFiqmLVIo+ZqekUw/ZqNeTzanp2vRMaiq4ufUr1K1aThXqOWm2B8qv peoozpp+EYdOrQnbUp+T6dVbdkNNLebgfHdPv/M6p5Z00tClL8K+Wj6tVGnH4qKW+6OVS04/ KB5KaElYoR1rdOLmKnQstr4AyzLaQ+6l4qXzYy6W/wArT8MA91jFVVrMnRXeU18G9HQqqu1C 5A5001VO12z06OhSlNST7bHXTopoUUqJyIGf/YnCNbQCw+xQb5DDyKXCJ2XcAd8oCcrciCMv fc0ZxgChqUZ2yau0yS23Aygi7ZqHuIGNsAv3NeTK3AIVw2NNfhgFfcDMK9w7i83DkC2MrJoy l2AovcGvsKiblEgZa5MtQbiMhtKAzbgitwG8AW4LiBjuCjeQOyUVMVZE35GnF0AKW42HYtoF KwEoeDcdkUdwSjyAq5qAUbClEgFM3k1HFw2fgt4AaftJJTUy2FKAJbilYqcQIA0PklKF/wDu AJTubVkG7IsClgqbNlTvApQgD28jFn3FXJLuUF4iRWGKJWuBWi5EQEWMsti3iwEsjCvclEW+ SpW7XgCS5FLbcUu/6BZzZyBKBjuCcZRqltqZYElCgHO2BjklfwBfsJPEBfZATu5LaDXctsXA kv1JKC3JdoAk0y7oVdNyKAzD4LKGXyT5eAKl7BKuO8bFAErlGwqJiCQApWVAq6wG5pLloDLz cfBfZlD7gVvkrbkrnk9V9S6P0zpXr9ZrKil/lWaq3wluB6m1TS3VUlTSpc2SR+L+pfrCmhVd J6O1VVirqIlL/Tz5PifUf1J1nq7eip0Okm2kn+bvU9/GD4nyYtBqV16mpVqatdVddTmqqpy2 +WX6Gk7MxEWROg2GlGzEvgsujcElCcEV4cmQJmkpMJQhpwzVmivBElYFuyhVkWTWnRVqVqii l1VPCSuz9b9PfSjr9vU+o2pyqOQPi+iei9X6lqL+HS6dLeto/d+j+j9H6XpJaVKr1N62j20L R6bRWnp0U0Uq0JHHU1HXbCA3q614pdzkrt5clTS2ddOgAooOlFHBrT0zvp0coDGnpuMHamjg 1TSdUuCDFFMK5uyUtwL3SUvgxTTVPurpqfxgdCpcqGqTtoKiyhfY3pNREfodYT2RQKml/wAq FJJWsDhUs89dSScVfcDrXaYrPNqV13/FJiqtpnJ1NuwGqtRmF7qmapobdzcKlAFNKV3AVVxM Ga6zjXqO9wN16mThXXfJiquzOTqkDVVTmwN5uDqUHNKWydC2OnQ6nCUnXS0Kqobmmnk9NFNN KhIoxoaaoWZ/Y6fJYIoGSVpEZTXYoziUF8YECCbaUSZUYuM3wX7gZq27C1IxEhebAZI1i6Mu 6IB/BWWVYrq3JRaGAbRNgSuUJWSkVyBl8BHLGbAlIBhl+HI7sPgDLaYZRuybJpQBzImlsQGV uTJpklAAiYvgy1cAad3AKL5NZQREgZ3LeR2BK6A7tEXjJbgKUKBpS3yVKvY1SmsgVLtfIlNm U9gK8OUKJbkBbCr34FREblywIk4RbCrICSyaXiQ3yiU+QFocLJUqEKUq/wAFElJNKOSpvkfi CgSEJ5NU7gVMS0xSS2BjEgUEDQgXhFckaAI/9S3zYk4X9R5tsBL7DdNrJQsyCsoAlOxppEk4 t8lEq7wBYWExUw7Si9tmrEpVkBZkKUMKWIEoLbcl3twCurPAFAuEsgr3HbuBIU7MYt5CnDAJ n4GBUbE7ZAtsEsgpeUx3yATwKBKw4cgXPYY2Dkk37QJrgvJJsQKbxAK7sY6jX0un0K9fXrp0 tOi9VdThI/BfU31hrdT7+l9KdWjoO1Wtiutdv8q/XwQfe+pvqnpfS/f0/Te3qesVnSn+DT/1 P+i/Q/nnqHXdV6h1VXUdXrVaupVu8JcJbI82TX2M2jVlNzmSlG3bJODNO9jSuS8jyLdGXnJr Z8mKbZW5qO5bNGVY2tzCt3NolGJfBpT9hwVM1VQpbeBoj3elel9X6jrezQ037d69kfX+nvpf W6v29R1n+Hpf5Xln7Xp9Hp+i0VpaGnTRSuFkuD5/oXoPSemaaqdK1NfepqYPoautDapuznqa rrbSsiVMgYbqqcu7N00bm9Oix1o029ijNFFzrp6b2R006OUdaKYwBmig6009jVKjcp2V3wTR OEpbgI1K/wAlP4eRp6fUqvNLO9GnXTtbyBnSprp/kaO9LtexKqFdMKtShLJRqaeUYqq045ON epQ9kcK6k5uB21KleGzzVVQ3cw6m7I1RS3dgCTqbN0UJKWNqV3OdWpYDbqSVjjVqZMVamTjX XIG66s3ONVbmEZqqc5MuqzSINOrvcxPuwCTPRodO6r1fhX7jBx09KqtwlJ6tLp1Rep+6r9js qaaFFKhF3NYKnPAbiVsx2KBhuLTnAL9QIo3RdhW6iwBZdgaGJBoAs5uVThYkY3C+5AbhFzQT s0BmJJKJG7WCAzyDVpNQ9wfZEGYsVhf5WiWAMw9g/c01fJJXAy0+HYmpRrkxfCAtjMPf4NYs G3NwM1JzgzBt5MvyAIGJReQM/wArcoKdzTB4uAOTLYxyTS5Ay3Ni8IYDukB3aKnkIuzVKzyA 0q0XsaVlAUy1eBAkiV0KwWLgXaIGLklMsUklG4EqR8IPmRgCV5FKQk1hdmAGsr9yV8oi4K7p FWUEmSUuShaHyBbsCGBTsWwFsREtwLktiHAE3aV+2CpcWgqU4NKHYA9quSSeC+zGLAUQpshX HIU2TsN1dgEPc0kmvARF5kacALcbMKf1FEtwKHfaSVyUxyVNpngCWbSMuXwSViYEnEkv1A01 +gBI7BHceYwBIoncqUoY23AoW7RYxklDKHuwAZtH9CSakUuLgEFHeBGpxwBmD5fr3rnRej6E 9RV7tapTRo0fmq/su7PifUv1hpdN7ul9JdOtrJxVr5oofb/M/wBPJ+F19bV6jXr1tfVq1dWt zVXW5bZi0e3171vrvWNf3dTX7dKl/wCHo0T7af7vuz57dpCTKJ0Rovm5mGOjVzKIUpLJgkp/ 9jRmODUi0OzMJ2iDRKxJcAlaBglO1z730/8ATXVeo1LU1k9LQ3byx0fJ6Doup6/XWj0+m6m7 NrY/dfT/ANM9N0FK1upjW1++EfW6Douk9N0Fp9Pp00pKHVuy1dZ1SqfuWQddTVppUUwcKqnV Lbkyk3J1o04KMadE7HamnZI3TQdtPThAY09Nt4O9FBqing7JcEGKKTdgqqVNt+Co0lX+ar4Q 6KlPUTiy5ZvT6eqlWqOtOhGKmdKE0omSgoVS3k1PZhVU0vyycqteFEAberSjlq6tLmIOVeqm mcG5mCdGnUpBJuQppbd7m1FOxQUU+25OpJWMV6iUo41algN16mXJwrrM11yc3VZyyBqqmbnK pvncPdEoEm2Uau20a0tKqptUqXydtHpm0qq5S43PXTRTRTFKhActDQpou71fsdaYUyV90MXc XRQJS4eDL4RpxgFSr3KCJpsTwaysGUlHACsMzi2WOxKABwmAxOwARQW5KcgWQaFYJZAykw3N RfIfsANBbY1swSfYAvhoJiUN4uZhIlEA7QRBnKKIpFooyBiHGMC0TzF7h8oAeckN8yGeAMzd oGoWDVrlaAMfysBeWEMC5MmgkDLyGxoli4GIlTILMGozkMP+4Hfe4+0mtxSQFtAu6Kye5U7x gBt8F4QrBUzsArgtixn9CAaVL8iHhl8gNKyN2nGxUbiBJynyha4JW7scmgJfc1EB8GlhgGBs CdmKAMyoFcFclMgXkiGyWAJKzbYJZFWTNKLp5AFe8RIpwsMNoNK0yAQsbj9kUTeBwBeQTzuV xpwApR/7AlcdySjAEVKs8i8krASjAqwY3JAUKWOXKIFhgTcKcjD+OSWBTAKUrzko2JJ4kXnC AqU7lEbj9h9qnIGVO4jALEQAbmmgatHY+D9RfU3R+kU1aFMdR1kW0qXajvU9vGSaPrepdd0n p3S1dR1mtTpadPOanwluz+cfU31R1Xqjq6fp1V0/R/5U/wAVf+p8dv3Pl+qeo9Z6n1T6jrNd 6lX8qxTQuEtkeQzaMkjRkS6NkG5cmRFJGVksg2YRr5J4aQlF8gnGwI0OAyd+k6fW6rWWloUO up7I+j6D6D1fqmonTT/D0Vmtn730n0rovStD26FCdazW8l6PjfT30ppdN7eo6/8AxNXKo2R+ jr1adOn2U0pRilHPV125VL+TENqQGrUqrcsKKJya06Dtp0dijFFMbHbT05OmnprdHaii1kBi ihJYOtNDGmmHc1VUqe72RAqEjKqVUw4XIaS9zmv7Hrop03T+VfYYOOlpabymd6dKmnDf3NLT oWFBRGGUMNKzMV1VJOyZjUqqpxUmeV6tV5A6Va1WG4OVVc5MOt1SVNDebgMe41RQkpJRSjnq VgbrrVODjXqJTcxXqTNzhXqRIG69SZONVcsxVVOWZb4A3U83OV2xib7Hr6bpXVD1F7VxuwOG hpV1v8K89j3aGhTRd3q5O1NKpp9tKSXYoLgkpUBsKLOxQE+SxgtoAFicBCbjYXZQG8KwFeJ+ wNXykaV13RlpgC5JrYbJW+Su2BnZ8lT+UWtgTs5mAKFcGNINJeQIu0kneCAIi2zJId5AB5kx PJqQIMqfINc4NN2hFDi7HRhxsSlGsIqYbcpEGdjK7m2+xnEgZeQNA8gC4KXOxNRNigAavYlE uxQQGWs2ZnazNdgajIGfgElJq3gACA2YuA2AnuZcTc1M2MgejdilNgvhjFwKncSRXjIClyKv IU8SaU37gFNMZNLBFtIEUPMEtkzVKzkCWLfAwCzlCk13NCUKYEkrYmTSAFglAGgDCGCNAZ2L eCbtCsNIDtG5XiOAV9rCsgQpSgpzdmkoAFKurC0mEPe5qFuAW3F0oVgk5WLgSUKwJuMXGOSU gVLe6Kl28jJQoAoJKWMg/AEputhvFsbDKdoKneADCuKXOSnsVOIlADSTF8Ygm9iiwErEhT7F SkBc/qSGErSKUEF7TGrqUaOlXqaldNFFKmqqpwku54/W/WOh9I6b+L1ep+J/k0qb11+F/XB/ NPqH1/rfWNRrVq/hdPS5o0aXZd3yxo+79UfWlWqquk9HqdFDtV1MRU/9K285PxTbbbbbbctv dkav/YzbglZMoVyyilGbdGUa8QZA1ZooNmQW4s0KNmDZKICbvY+h6N6R1fqesqdCj8G9bwiD w6NGprVqjTodVTcJI/YfTv0j+XqfUV3Wmfc9D9B6L0nTVSpWprReupfse7W17xTnk1Jg3/hd PpLT06VTQsUo4amo68u3Bhy3Lbcm6NMoxRQ2d6KYNadPY9GnpLcDnp6dzvRQkjWnQosjpTTb ABTR3OlknczVUl52QU6WrW5hRxJAJ11KNOlvuddFOnNFU8nTTprp/lxwdlWoumh0Gm6Wtp8C oWyD30f5kc9SrThwB0rdMfng82pU1MVNnKuripnKpvZyUbdbzJm9TJUTk2opXcApphSyqqST gxqV9zjXqTN4A1XqZONepN5OddeUcqqt2Buqudzm3dmZySTYFlnTR0a9RtU0zy9kd+n6Op/i 1E6Vxuz200000+2lKlLYDj0/T06cN/ir5ax4O4tEkUEcg8mmBQQ4ZJDaPJbQBlbk/ArDBcAS +SaRZRX5ALKbfJNWZOmzLMNgEJxJNcC/2DmAMw1dslmDV4almb3wBXuFovZinyymXfABD3Dd i02207AswBAlCeRLYAiwNGi7gZSjDDORd5CnGQDZyULgbT2Bq0EBswKHME1YgHgORfAbADdu wKMI3C9vAYlAYZYGMlzYAbB4GyCzQGZc7QDH2z2CP0APKRQSzgJyAJA8z8CEZuB3QolF2N8A QrLD5NXkCQslKFcgWxbElJLMAaTlk3BWmLl8SaF+6NKY4BwSlK1wH8UjjYk7mrOZIMwh2BJT kdyiWSRfsW+AGFuwFRsIAlC3Ymku4YtkCVsXHL7Epm8fBRaIfwBZXcXG5Up7PApXYEX8skle SafwBIU42iSROdoYFlfuVK3lsUoJtbgX6ku7KlKbsl4A0lGVIO2Cz5LeQLIqxW3WRSmQAUpV p+QV9y9ziYIHNxcbuCWODh13WdN0PTVdT1WtRpaVOaqn+nd9ijvEn5X6n+r+n6H39L6c6eo6 lWqrzRpv+r7YPz31N9W9T6h7+l6H39P0js3ivUXfhdj81SoRi0deq6nX6rXr6nqdavW1a3+K qpz/ALRylGEhJgoNEZQ6NmN8Gy5JKBE0RX3ASMp2Y0twBk3SnVUqaV7m8JHp9O9P6r1DXWl0 +m6m8uLI/d/T3030nptK1dZLW1+XhF6PhfTn0nq9RHUdev4ellUbs/a6Gn0/R6C0tDTVFFOy 3LV1/bZZOHudbl3ZRvU1atSVLSM0UNjp6fJ2opcQMGKKEjtp6co3paVl3O9NCSsijGnRGx2p osNNLjA1VKlXIFQllAm621T9zFFL1LVNpcI9GnoLKqqQwYo6er83vT+D0adFVO8mqKWt0xlr b9SiThXRmrVpUmK9eJseevVlbAbr1aXNkcKql4M1OcFTRLAEm3Y3RTF2acUo516loA1VUlg4 6mqr3uc9TU7nGqsDdddsnGquZuZrqcs5+6cALqkLt5KmltwlM7Hu6booSq1bL/KgPNodPqat X4Vbl4PodP0+no0zHur5f9DqkqfwpQtoN2ajIAlIYF/miQag0CJJ257i3PYli6AFGdgatH2N PAJ2AFZFbcY5DZuQBh2RpYkHm33AldW2DZoXO0k1aZAFxexNbkpiZFKwGVZz+gxuTbWwcsAV pLZ7C5BbyBkHKNOHjANXAJeAsp5NU7gAKZIV3stgQBBLAqIJWQBANSrGtjPkgEl8Ap+DWzCl Sr3KC6btcJ8E+U34KJXBKJK1zO0Gvba4btEBf2wwiXeWLexlzMyBR/6gOzDZgFnPKA0rNh4A y3YNrGtmHtswMA1Y1tAACfgFuMqYK07Ad7X4FTFkZRqXAEpu2KxBNNjEY3AFOwpCi+QK2xqn wVKXklCwywW4tfcKXKFppWKFDACnBADjuLQSUO8MluiL9wIVCHlNqwJzN2BIbe0l4ZdsgNKb oFU5YJy4whzgAT/E5lCpSh/LHOxU48gOSvjYlkgJZg12ixkUmBOXTZSKUEUIATFTH9SpWRVp QE7F8SWRAqbtzaCtwLhbh2mQKZGmYZe1TkVxwBn2pM1hRczXXRRQ66mlSlLqbhJdz8V9TfWi Tr6T0dpvFXUtW/8AsX9WTg+59R/UfRej6borf8bqmpp0KXfzU9kfzb1j1brfVup/jdZq+6Py UU2poXCX9cnk1KqtSurU1K6q66nNVVTlt8s5ozLo20O8hyXzBkJbAIEQY3RnYsmjVnkvkykb JZgwaaJvY69L0uv1estLp9Oqut7ItujkuFeT9D9O/S/Ude1rdSno6HLy/B9z6d+ldDpFT1HX JamtlUbI/Q6mrTQvarRZUouDl0PSdJ6d0/8AB6fTpopSzF2GprOqysjNVVVTuzVFE3GjKUzB 00qIN6dB30tK9yjGnpt2SO9FCSujVFMbHWmnkDNNPB0siqqVKl2OCfuqhyqeOSdHSrU2phvk 309FFX5l7nu2Ono6NWaPseinQoWJRQrR04so8M0qFThsy6HSrVfc4116iw0/kDtU60p9yPNq atan+5zq1KrpnOqtuyA1VqN5BXbCmls2opAKaY7FVWk4RmvUhHCrUs7garr7nGvUzcw67s5V VZuBqqtt2Zh1WZlvgKaXU0kpknRXfc7dN09erdKFzwerpuiiKtX/APFf1PclCilJJbFHDp+n o0V+FTV/meTv8FEkt8/JQXUyVL2ZrZmf1GCtDsSUD5L5AzF4Bbmo5JKEUZuCVjSfOSeQMucA 49sGmgf5gDxYjTxP9DPIF5YRm4hFoWQJhsKVrglsBbg8moB8ACwDxyMFTEt7cAFKScNIoewW mIJW3AnaUYSeyNVZL5QBLhh3GqIlSW0QAbES4IATtdB9zWEK/KwMbZCHtgS+QDAGrmVuBPiM mWmtzSbatYGn5MjMQshTmHc1bgsgYtLKJFd8AltIBZzBQPYEtgDcy2zTSJpAc4WSas5NPgy8 gZtlE+w3gKuAPRDKncqb7kr/AAA7/wBC+7JqRUbMBFLkFk01M3AnMlBbQKxBoCx8mll9g9qE C2G25IqZuAoouRXAhi0yTzJYAqfgVmAm2H2JWA01eCw7E0uRXbYCS2W4pWzYP5ZFIBV1LFLc Nmi8YAmkxheQQx3sAUruaBJD4SAuUSwXYlhcgMXmJZRbh7ilF5uKUgFKyyhinZ2kU5YGYZeD ZnGLk0VP6nj9Y9V6L0rpf+0dZrKin+WlXqrfCR8b6o+rel9M9/TdKqep6xWifwab/wCZ7vsj +deodd1fX9VV1PWa9Wtq1b1bdktl2IPqfUf1J1vrNb0r6HSJ/h0aX+bvU9/GD44NwTS5MW6M SSsS8EmbHQwaMmYNERkSCJEjZbRWMyddHS1NbUWnpUOup4SP2H079JU6ft6n1JS8rT/uSTR8 T0H6f6v1StVNPS0N62fu/S/Tej9L0PZ09C9381bV2emqvT0dNadFKppWKacHnrrqrct24NDp q6zbapxyc0nU8GtOicnaiiMXIM6dFjpp6b4Omnp8neimNijnpacHehbIdOm1zfuppUsgUkpM e9uVRT7n+hKjU1F+GKV33N6WlqUrCjsAadFaq91VDnlnp03S1dR8DQ2l+KlmnXSUCVGyQVex fzQYr1NNp2R5tSpOYbRB11asxXKPO66msmW+5qmllGb1DTSkpZuKaVmTlqVgbdSSONepk56m p3ONdeQNVV5ucqq22ZdTh3M1ObSQadeTnkqKXU1Sk23iFk+j0vQqmKtZX/yr+pR5em6bU1rp RT/mZ9LQ0NPRX4FfdvJ2UJQlHglfJQbQRCVVAbkUpBQrOWKwVmUhMHwKDliuwRFsCwVOAJoK XA35kni+AMu+XgKsYk1CWxJJpgZbl2JjNrQZ+AKEnGSIgBuCTEIIJ5DxkUBRbxBJZTKmXcmo Ay08LBQu3waQVK0IDNUQH7DTKTjYnjswDaxWjJOFaSAIAYsWQAiRAGQNR3B8AZVMOSmZEIgA 2vAU4gezMxDIJ2CJYtyHZEDViDKkVYKkBnMjDiUSmGmFwBqVcvkZCP1Ay8mXubxlGb7MDJC8 3ADvHcVMlzMDTgCZKFsVOMMQJb3g0rIE72UDF8SA04wODNKzDNJuGUSJXyyQlEtxLcgIlDZE BpTygQl8gS2RbOJlEpk1EvkCpezkE73HZwyxfdALJXfckpUjbgCSyi/Yhf2AHh8DHyVKFARJ SvAPg35AKd5YDZq6hklNLAX+pZJKRpcSBNRhlE7lVk+T6/6/0Po2i3r1fxNepf4ejQ/xVd+y 7smj6fVdRo9L09fUdRq0aWlQpqqqcJH89+p/rHW6v39L6W69Dp3arVxXWu3+Vfr4Ph+uetdd 6vr+/qtSNKl/4ejT+Wj+77s+eZtFN5MkaHyvGUpNpNq2wCnE2JbqKl2MwK3hIaUJcAjZnIXH RswOBopq1K1TRS3U7JISgzOx9L0T0brPU9b26NDWn/NW8I+19O/Sleqqeo9QmjTd1p7s/Yaa 0el0VpaNFOnQsUpCQeP0X0Xo/SdL/DoVetF9Ro9etrzKp+5z1NWqu2FxIUUzkujKTbcuTpp6 ZvT0+x309KcooxRpyejS04ydKKElg6U0AYoptY6Qlk02qVJy9/vcTFJNG6q0n7Vd/sWnoe9z VW2zppaGi1+VnenRpp/K2ijFGjVTiqfg7L3JYkkqkvzfc56lddK2+4GqtX25pZw1NZPb7o51 61UtHGpyBqupOTF2appbNJU0rkApoUTU4F1qlWOdepCiThqaubgdK9TJwrrvk51amTlVVIG6 68nN1PkG00VFNVdSppTbeyAMnfpemr1nKUUb1M9fTdBSvxa34ntSj20pLGAOWho6elT+FX3b yzqMIUBkkOGAEQ25MqShIi2AoBtSSRRcqpLvBJ5KUrEkACUEt+wRQzLVxUwV90BQknuHtsM3 7E+AMklDHFgjYCMtC1C5LFNwDezZfqT/AC9wpiYhgStYYLkuQBOwMvuitAF4CmYc3H93kE85 7ACW0R4DChcmt4ClZn4Ay8F9xq/ULq7AgZP8xQARaYsS7jhQAFAOClomBbQZccGgAzhFdOGa U32GLEHPCaBKwtPINQQHyUT/ADCGLAG4NDkJsAOOGClLFhJO4BeOTDk0pbgkwMNXsUOYNPNz P8wHdRIwEQa2AiStEFBpuAJWRbP9itsVKvb4KGnhiRbgKWSVxQLcoS2Iu6AkM3AcrwBJSSv4 KncVjKAacWFhjCyKzG4ElCLNXwOFySV54AUoUIovgi/lAUHiRtyKl5AitF8FsUSAxbZk8MEn E4H+oDApd4MpQ5FuXADCmSpavLsrs8nqXqHSendJV1PW61OlpqynNT4S3Z/OPqb6p6v1b36G iqum6OfyJ/ir/wBTX7Y8k0ff+qfrPT0XX0npLp1dVWq6hqaKf9PL748n4TX1tXX1q9bX1K9T Urc1V1OW33MEc7dEZ2NEWXBESwRBk0nBTJFt0QZGLGmu5JRkW7Ak24V2+D9F9O/S+v1vt1+r T0dDN1erwWTR8r0z03qvUtZafT6bfNWyP3noX070fpdC1NRU63URepqy8H0ek6fpug6f+F0+ nTp0Ltd+Q1NWqu2EWTBvV17tUqXycfxVVS2NNLbwdqNMDFFEo6aenJ009J5aseijThAY09OM o7UU7G6KbXg02qVLaSGhpSgw9SLU/ifCMN16ttOFTyzrpaOrT/JTHYYMUU1e/wB1dLb74R6d L2P81K+xuh1K1VDXwb99O7KL26eyRNpL8zRiuvShqx5q6qbw39wO2pW1is8zrqvcw3fMjQnU ATU8GqaYuxUUo516kTcDpVWqbJHDU1cwzlqakpyzz16lrMDrqanc4VVy2YbbdzMsDTYJ3HTo r1KvbTT7m9kfR6ToaaPx60VVf5Vhf3J0ebpekr1vxP8ADR/mf9D6Ojo6ehTFFN93ud1wksBg oE7ObEiRcgKKe0g1Yl2ZRArD8E1yKtEK5ozTGyNMiAV5MrMGvAEZYgWLAsikUXEHAXcv1LJR OGFuRSu+SpWdiIIuS3IpsUTQUrcVLBq5AZYNKRah8lyygWGEL2tj3Bp4kA+BWbFEEgB5AdyS u+AAtysSxOeAJ+TPIuz3LNwMq6JtpXZe3h/cY5QGGkM2JRHAYVmmBWuBrbEmf0Ar7MsrNiL7 ACS2YKbyKZMDNO4udiIgyrZcE8Egc4WAC8A8i0yhkAjLcbGoBu24AlyF4GFfcPgA+Q5Fl5Ay 83gykaquZmee4HdJwKTiJHf9yXIEjSsm0ZvBqJ8bFgk55YpZJXYlEipUTf7khSkAGkkWQEiU l5l8ANLySUXQKMM14AhpUvAXvDQpgMvyW0ku6sOQJu2wgsO0DsAp/JJJeCpt3sNnuAJXf7lN 7EqbRLFS3yBLgtpWUUNOZkmrAOHCRJQu5Lczq6uno6Verq6lGnp0KaqqnCSA2vJ+f+pvqfo/ SFVoacdT1kW007Uf6n/TJ8D6m+s9TW9/SekN6enirqHaqr/Twu+fB+Pbbct33ncxaPT6r6j1 nqfVPqet1nq1vCxTSuEtkeUBUdjIiJEBGdjVpIsuCMmiEuCuReWRBJtYO/Q9H1HW660en06q 6m4ssH1fQPpzq/Uq1qVr+FoLNVW/g/dendB0fpnT/wAPQ01TzW8suD5P0/8ATHT9CqdbrEtX Xz7dqT72rrKn8NKxstjjq6zqlU4MUUtso1U3U5bk1RTOTVGmdtPTbAzRRB209JbnTSohYOlN LnFgCmmMHalRJm2mnc416jqtS3HMAddTVppsr1cGKNL+Kvx134N6NGjUr0yz1aehpr8sr5KO en0rputSfg9FCrp3TH2+1Wr+5xrrrpxUmB1r1HTmhnn1NdOU1HwZq1qnM/ucKq/dlMDVVSeL BlwhppbJRRkCppi7KutUnPU1e5569TLbsB0r1OGcK683OVepmMmG3yQNdbbMyEjpUV6lXtoT qfCAMnq6Po9TWXuqimjl7+D1dH0NOmvfrRVXxsv7nr+BgxoaWno0e2iny92b7CvA4TKM/JFt BfoXV1FbMkRESLuiXBQXV08gmRQRDLKDMQNgJWFSlAUp+Si4ENtgwKtJRkkuSWTRVAXSwSFd gcDzZhF4TsaiUCBVixFbuTCMp/iNLMAPbcgx/MMziIFqTMQ4KCLuIJNQMEAS4iAHFgxyBLIP gQ3wAX2LYVC3KewB9yTmVEEkysmAMzNsDPhEpzYDPcoTpkYu8fAdryAReExBq0k0AbESF5Ay wNBHcAWRyUdwWCAj7BtZFhzMkuAMx8kM7JA3JABsMA1aEAJSmiYvuUAZgi2wEdwB4fBmDWUw qvUgO0isWLzclacAanZAscF7bjvBQp/cWnLvAJruMWzDKIVMsvkV2Ai8EWwEaMiryBbodsLy Sz5L5AUl5KOVIYsa3AqXFipbl2FKxZU4AVLmfuRCsOABOF/UW1AI18XAr7kp+xeZFYAKXZ2G PLJ9j8p9T/V+h0Xv6X02qjqOpVqtTNFH/wDJ/p+xNH3PXvWeh9H6f+L1WpNb/wDD0qb11+Fx 3P5n9Qev9d6xrf41X8PQTmjRpf4V3fLPB1fUa/VdRX1HU6terq1uaqqnLZyM2i+SIjIyaIi2 6MmiJOBboisXYiCIyfV9D9E6v1TV/wAOn26W9dWEXB8/ptHV6jVWno0VV1NwkkftPpz6U09G ldR6jFVeVpbLyfZ9H9I6L0rRjRpVWr/NqNXPVqazcqn7l4N1V0aVCoopSSsqVsca66q3dmUp Z1ooAzRRfB209MdOjsejT04GDGnpnehL5NU0zZG4poQElOQr1KaXCUt4SyZdbrft02o3qZ00 ulrn3U6i+UQcVp61VSdVDqXB7NGUvxUP7G9KjUozDNut0q9LL0S/hcL7E/4S3g5V9RQk5X3O FerRVsBvUqV/bUzzt1ubyZs92NNNT3KBJ3i51ooUS2X4aVszlXqqHDA6V1qnB569R3hnKvUb m5yr1G7Ig1qamThVW2HuMt3GjTfcyr7m9LSr1qvbp0up9j6XR9BRpfj1Uq6+NkB5Ok6LU1oq rXso5eX4PqaOjp6VHt06VTzyzoRQLcpNQjNICiAQIMirByBFKFKwYQAjQowBpgsAIBtJbyRQ AyQmQF5KLE13Mq3cBjdci8kZKqJCCQCC7jm5ZKC8yUyIO10EFglpvc1IRYCtuTRR3JzGQCEg 2NKLpBCjkA2CLSISBQZjcWo3IAtE7kxakHKACsWcF4AIzG4VL8PBqxWSYGItaETvgk7C1uBn Zr7glbIrzcgBxkBhRYAIGssS2AylyilDcHwQEy2SSi6gWpRlRhyUS3kIbuKyH8xMAp9zsG7g 3s+DEWIC7kuzLYmp+QM33KESIAm0A0MKWDYHYpbVyTvDGngBx52JLkd0FuJKFJvIkhSKKngU +CeAVgHYiIBpJPgkobHHwBJxdCqbAleNjXkCp7ElGSS4sWwC5eCW/JU73kYYEvAqEu/CDe9x i9nADBfJeWVtgLaTj1/V9L0PTVdR1etTo6VOaqt+y5Z8r6i+o+i9G03pv/G6qPw6NLuu9T2X 6n829Z9V631bqv4/Warqj8lCtTQuEv65Jo+z9S/VvU+pOvpuj9/TdJh3ivU8vZdl9z82gJWO dujRIynBIDRk1Yt5LLgiLZkiCIvBAQ6dFepWqKKXVU8JHs9J9K6r1LXWn09Djep4R++9C9B6 P0rTVbS1dfet7eAPh/Tv0m6lT1PqX4acrT3Z+spWl0+ktLSoVFFKtTSi1tbKpbb5ON6m2aDV W673jgaaWxo05R6NPTIOdGnJ209M3pUfY7U02sjQzTTbB0opsalI4OuuuVpUtxuQdtTVp01f PBwoqWpV/iO2yR20KKqW/dp1Oct3PXpLSa/FRSn3Qg5aPTaLUptPsz00aftxW/kfZpJQoXyc q3SsajnyUdaqq6U70s89fUaiUR9jlqV1y4rUHBur+Zgbr1HU3KMWqcUqTVFFVeTolTQgM0ae 7Gur2qEYr1bM81eo+XAG69TN2efU1Y3M6mrwzz+5dyDrXW2nLObfcJZvQ0tTWr9unTL/AGIM S9oPZ0fQ16sVan4KO6uz29H0GnpfirjU1F2sj2Fwc9HR09Gj2adPtX7moFCUYgSNAZi7KDRA ZgeRBuwBAJItmSwBoHYEjQAFiQqwETcqBte5hq4EhILQWLERbWLkUqXctpIgLMgsiVhhhAou WwRIuwLI8jQEUFHBVSi+xEkDwEUTl+CtuIATexlSpwatwDyQZlsVvuSVp2IoF3CbmuwQAZYN u9xWbfJRcAStcFvY0ZAn+UJ4VxQR9wB5wXzcc3ifkI2Ay1FmWxO+S7AClKCHM7g42YBbYi2l laNwCXuBrfAMAtEA8iDyQCck04nkU42XYmm1cownYjUQjPkyBWUQwNTCZlgDjIJXeGLalKQe 4EDxAgwOqXI02DnyaXICrsk5wVOLJJkrODQSL4GFAElaGIQV4Ae5W7ltdCtwJWvElHI/YqV4 Al+ot2ugXP8AQ0o3AUxTmeDPNxT/ANsBVgshxIpwgLaYkqXzBPF2eH1j1To/Sum/j9bq+yfy UK9Vb4SIPXXXTpqquupU00qanU4SXLPxX1N9Z/n6T0artV1LX/kX9ftyfA+ovqPrfWKnp1N6 PSJzTo0vPep7v9D4zcGbRquqqut11VVVVVOW25bfIECjyZCREANwJeCAiIgFOAkk9j0+n9D1 PXa60en03XU+NgPPQnU4pUtn6f6d+ltbq0uo67/B0cpb1H2/p/6Z6b0+la3VKnW6jMNWp/uf Z1tdL8NKuawHT6XT9FoLR0NNadC2W4ampVXaWkYbbctybookDNNLbO2npnTT0zvpacbActPT sdtOj2rubVNoSk6QkpeQMKlvwNVdOmmt/wBTlqa2aab/ALHTR09OtzW26uZAxRpV6yvUqU8I 9Gn02tQ5mlo66XT0K9NdS+TvTTVSvzfdFBQ9SlQ6Z8MqtamlfiTT7nPU1dSnCpfg81fVVVOG mB01eo0mmoR5a2qn+FtfJVtN3Q0UOraAM3f5Tpp6e7uaSpoVznXq2fAHV1qlODz6lfc5amo7 3PPXqN4wB11NWJ5OFdc5Zl15RzmW7kGmwV8XN6Gjq69fs06ZfOyPq9F0OnoJVVfj1OYsvAHk 6T0+vUivVToof3Z9PS0qNKhU6dKpS4R1IsgBMmgIBIDKRoiAiIEBAaIDIKxsgMhOxsAMwKui HYDJXFZFR8ADMm3BkANGd8GtmBnYlixEBSam5lJEwF7uSkLQCARAi6ApZCitDyCxaRklMOQy gi8lhCATeCi0iQGCd1G4uZJ7EGVdRNwkYluFcoh3KD9y/UoLbkA8wCuN3eIKLABPkWGFkAzT P7As5HErYHjsBVOFCMzuxabX7BtmwF+gQaa7oylE2ANhm0INijNnYCBiDgAJ8EVOO4GXjBLy PLku+5BmG8tgacmW7ykQZzcrfA3gFG4FEg8wUTe4AVwgdgbsB29t2KK8xLZO2AJZXJpKASs2 JoQpSRpObcABF+xWArdy2gt7Dd24AqRWcF/uAT3wBuV7bgsO5UYzcoUgaStclfsKf4r/AAQA 3dwJy6vqdDpOmr6jqdWjS0qFNVVThI/n31L9Ya/WqvpfTXX0/TOz1HavU/8A4r9SWj7/ANTf VnTem+/puj9vU9WrP/Jpvu932+5/Puv63quu6qrqer1atXVqzVVt2XC7HncbfsZX3M6Omxil bC42ksYuZE3IpKMgnBNQBotmYVsGm4ADRKDJejQUy9jp0vT63Vay0tHTqrrbhJI/c/Tv0tpd Mlr+oRXq5WnsvIwfB+n/AKa6r1F06utOj0+9T38H7roei6T03p/4XTaSpSy4uzrVq00U+ymm ErJJWRyqbrbbclGtTWqrspSMUps1RTO0no0tIgxRpHbS0oOmnpnammFZSaGKKElc600y+Eap pSmTlXrS/bTnkg6V100UnGNXUdqX7Wap6Wuuqfem/B6dLQ1tN5pfyUWhT7VFWlCXY7KnRd/Z Svg0qq0vxU/ZnLU6iilNOn7gdWtJbpeGcNZ5jVaOFetRVKShnCc3c+SYN1fxHmqTKTbhXY0U VV5lI7P26alwBijT3qGrUpWDnqaqc3fg89epmSjrXqXOOrqpYZy1NXMYOFVeYZBvUrl3Zz90 rJn3SdOm6fV6ir26dOMt4RBhOT29H6dXXFesnTT/AJd3/Y9vRdFp6H4mvfqf5mseD1mhjS06 NOj2UUqmlbI6EACQCBERARAiAhMiAgOxmOwCJlGgIgECASAxhwIhHkCDGBJbgSIlYgBXJWkc BnaAAtrl+pAS52NeDNim/KAnPAJOLmrcjNi6usE0O0MV+oAEiBEW5IdyVnY0sFiK3unYgghO 4wURhsI7sgdjNKnLGODKVs7gMw3BmYyzaVoTM4yUDTad7MFuRfYAV7lS5kf5Sa5AGZhtZN88 GQMw1vJYRruSxwBmLxMheMyMWKnMoASmW3KBqN0xm7RmpQwAf5QtDIA7cluJAEAsC0GACA8G jNouiBd9jCwas0Dv8EB3MuzZr5BoA7hadkPMhEPcA5B+BB4A7RfMGqYchZtkrKGWC3zJrkHS nYdyhRU+SRU4AmKx3JKCAUgTgU1ItW3QEo8jSucBeLYFfifgBt4FJR3Bdsk37U3W4tLfCAZ5 R8j6g9f6H0bR/wAZvU6hqaNCl/ifd8LufD+p/rKjS9/Sej1LU1MVdQ1NNP8ApW7748n4XW1N TW1a9bW1K9TUrc1VVuW33Zi0e71z1rrfV+o/idVXFFL/AMPSp/JR45fdnzRICWCIfBkBtGJk mA0binkyLcrwWzBJwRJwOlp16tao06XVU8JCDKfB9j0D0Hq/VNSaafZorNdVkfb+nPpKPb1P qflaX9z9ZOnoaS09OhU0q1NNKLg8vpXpnR+l6Ht6ehOuPxalWWemvVbTVNlyc66qq3dmqKJe AM0ptnXToOmnpnbS01xIGNHT7HooohS0apoSx9zrSllgZppb2hDVVTp03YV6szTpr3VHLS09 X3+7U06qn4APe9Sr2+720/qzto9Hp1XWo0d9OnTbirSX2OtNOisQoKM6fT16ahaiZN61Kwn8 mqnSl+HUa+Tyatdd4rT8gar6rUplOho41atdal2RlupfmcmUnVbYCTbtSvk3p6aV6vuappVF N8nOvU2A29RUqKTjXqu5z1K8yzhXqOMkGq9VqeTjXW2smaq7O5zbA1VVO5lS7I69L02r1FTW nTZZqeEfX6TotPp0ml7tTepr9uAPF0nplVUV68007U7v+x9fToo06FRp0qmlbIRKAL8EaAjO 5ogIiICIiAiIm5AiIgIuSICDYSAzBoiAi7EQERBuAhsIABWZX4JAQM0wkAdtgNMz2AkyXiCV iWQBzNhRElcsWEWsmSfgYYlgdgAHT8grkyKKESJIgimby4BsYJq24AnyVSlXKzB5sQCJqWKu LW7KMJQDW+4t7BMgW0OWXwE3hE+AIBXlE8ATsZZpYvJlxPABzuCtsjTancN45AzyW3YX3KPw sDKXcnJJBVxsBFsTBXTAQKIEDDLGzF4B5QByEfJqInuDxYlGQvIldbkAw2kaUT3gDMygW5cg B3Sz+grAXmFgVvJQq6JZjcKZjNjThIokKUW3BWECItiAVHgli47QCib4AbS8il3uC3fB+f8A qX6o6P0lVdPo+3qet/8App/ho/1P+mfBNH1/VPUOk9L6R9R1mstKhYWaqnwluz+c/U31T1fq 7q0NP3dN0kx/DTvX/qf9MeT4/qnX9Z6l1T6nrdarV1HibKlcJbI8qM6Np8inBiLs00uSUJTI fIJWckGip3IgKQSayZTg08F4EGwoVTq9tNLbeyR+q+nPpPU1/b1PqE6ellUReoSD4/o3o/V+ qa3s0dN+3etqyP33oXofR+laaqppWpr76jWPB9DRo0Oj6daOhprToWEtzm66q3wuCjpq6zbi j7nNJtyNNLbg76WkiDnp6cnfS0zejp9jvTSlhGhmjThS0dKU5hKEaoplfiM16ypTpp/E+FsQ dHVTp0S2jzp1a1TVNXtp/UNP21VzqpvjhHs0dDp2vytPsyjlodLqfyV0/Y9mmtWhXVLCnRpp xU0aqdVM+3UTAXqulfipZw1ep0ryjjqa+q5VnHBxqqn8yuA11U1NxKXJibQpZJOq2xuKKKb3 fAFRRMurAOtUp+2xnU1nzZHnr1JmQOtWrlHCvWuYqrzLONVViaOldcpts5e6VkKm+Tp0nTav UVRQoSzU8Ig5XqcJX4Po9H6Y21X1Fl/k3+eD29H0mloUyl7q96n/AEO5cBRTRRSqdNJUrCSw bCCRQgJkDRJSRAREQEnBEWwFsREBEScJkBERNyBERAScERAREQEREBAQIDREQBsCniDRAGwQ LJYYGGrWI0GwARfsXgCRESedgJWNLgxuIEyJokoKCBWIIFwVdMAmMSAFuE+RV2yuRBIg1LkQ BuC2ZReQd3YQZi8lCiB9t+xXvKKMqFsROCURgAtsFxaKXgA+QvN7jS2pkuQJr7GcIU5sEObA D5QIWtwwBK3wGZcCsti3FpAxsCVmKLcASsUF4KQCHDkKfyjeGgStO4FM7YCbwW2ck7bEwDfg CRdtiASXIKBgNnyBnDmTN8mlM5krAdkWzRbxsacco0KLQRErKwGiCRWAIlyWExpmbWAdjGtq 6eho162tqUaelQpqrqcJI+f67630Xo/T+/qtR1ajX4NGi9df9l3P5p9Qevdd6zrN69X8PQTm jRof4V3fL7sg+99TfWWpr+/pPSHVpaWKuoxXV/p/yrvnwfjpltv/ANyuVzPRunEEn/tk2RkS ZkkjTcAZNglANxvJaH5KTIS3ZZGBPX6X6d1XqGutLptKqpveLI+t9O/THU9e1r9Qno9POWr1 eD970XSdL6f060un06aKd+agPl+g/TfSem0rV1ktfqOXik+vqaquqb9zFddVbi6RU0W2AIbu 22b06Pdwb0tOcnfT0uEUc9PTPTp6aWxuihJXydKKW3O3BRn22sT9tKmpmdTVpolb8HOj261X +JU74SA6VV6mt+HTilcvLN6HTa9DmmmlryddHpdPNNdSZ6qKK6VCrn4JwZ0/dSoq035NVV6S ykvKDU1K6FPtpfyePU6mpynSUddTV0b+1w94Z5a6pmK6o7g6k23UlJn2+5wANvFLNU0TLqdh 9tNC/FEnPV1Xs7AdKtSmmlpWPPqaruc6q3e5xrqZB0rrycqq8nN1t4M+7JBqqtmVNThS3sjt 0nS6vUv8H5Fmp4X9z6/R9Jo9Opppmvep5/8AQo8fR+mO1fUTH+RZ+T6dFFNFKppSVKwkrI6E URECAlcQVkIEQJD3Ak4TIiAN2JElYCIi8gREQEWxEBEsFsTUAREQEREBJwREBERAAkQEREBA QAMmcCIADQq4tgYGNgICgl3FMNiqoKCglMWRETGTPkmiqiRIiqo7sigouwgVhTJ45JLLCJkD wVndMgTNU7MXwCTa8FAnYpUA7+SpXcAc8FabyLaDkC+DO0waT3/oUAZsWUIRZgZhrDSklbOR SU2ZXSAzVygn7mnMdjP78gVo7g1YeewXAEyJ7lsBBGSKbMAUTJdhVwaIBp9mgZbltKAPbaQG XwBAbBYo7E8uLAWDLhk1Ym1sB3VpkFm6JJpdjWxoSwIJRYU4AqdyHCPP6h1nTen9LV1PWa1G lpU7t5fCW7A9Hg/I/VH1lo9I6+l9KdGv1CtVq5o032/zP9D8/wDVH1Z1Xqjr6bpPd0vR4j+f U/1PZdj82YtHXqdfX6nXr6jqNWvW1a3NVdblswu4JisE1dMrkTmbT5FmIU4TRql2g52NCzBJ wmibkiINODEsT7P0/wDT3V+qVqpzpaCd62WD5fRdLr9ZrrR6fTddbcQkfuvp36V0OjS1+vS1 dZXVH8tPk+x6X6b0fpXT+zp6Eqt62rs66mrVW2lZFHavVS/DQlaySwjldttuQ00ztp6c3ggz RRJ209I6aWlGEdqKYVzQzp6TWYOtC2SKlNvsGpqUaaiXPCIOzVNK91TRyqrr1ZWirczkxQnq 1/4lbXZHp0Oj/mp1n4gDnoaOtRd6TfLPZQqP59JJ8tG6Ka6FCaqMamrXQnOmMGn/AAOyOOrX pw/bqOfJxr6hVyvZ+h5/wy3GSjdbrbvW4MXwhu8Gvb7b1AFFFpZVV00qEzGpqWicHnr1HfcD erqHGrUszNepmTi6m5uQbrrcODi6mDZ36LpNXqnNC9tG9bx8ckHCn3VVKmlNt4S3Po9H6Ziv qXfahP8Af+x7uk6XR6amKFNUXqeWd1DRoFFKpUJJJKEkjoYk0mAlYjIGi2IgM3NEQETUEQEl JEiAiIgIiICIiAiSsRARNEQEREBbEQAJEQERNyQEREBERAWxEiAAXcdjLA1YylklKKewAQoC iLwRLyMXCrp9gNXixlDUUSW5XTi4jV0AhggiuQISgi2SVkRQoyBPAJRgV2BTmxBBIz3Jooxu I03u2FTh4kgmucmbXFXyTKMwm5HbASrwSwAbOCvEYHCAASiXAdh3QfzObAWVBnmTaSjhhF7g Z+S7EwWcyBMBeQUQ8gSvsUEWwAw2InggKVyL/KwVlAKzYBM2CIyN2nsBBA9yuDwBPBn7E8SS yB2WLyzWQpy+B+xoRbSZ1K6NPTq1NSqmiilTVVU4SXLZ+E+qPrh1Kvo/RW0sVdTF3/oT/f7E H6L6m+pui9HoejbqOrj8OjS8d6nsv1P5n6v6p13qvVPqOt1nW1+SlWpoXCWx46qqqqqq66nV U3Lqblt8lSyDackjmkzomZwAkoRJ8jormrGSFuhNSZl8mZLZquk9zehp6uvqLT0qHXW8JHs9 D9F631XV9ujpunT/AJq3hH9F9D9E6L0jRT01TXqx+LUav8cExHw/pz6Sp0/b1HqSl5Wl/c/U OvT0qFp6dCpVNlTSoSM6us6pVNlyc6aZKFurUbbZqijFjenR2R6NPTSsskGNLS5PRp6YadF5 Z3oaiEaDTTCuhsrvCM16tGnTLc1cHOhPWf4q/auEA1V11r26Kb7mun0q6XNWk3OW1J30ejqV 6dVfKPVpU6tFn7WBjS09CPxaaT8Go0krVOnwzVes6M0P4PJqdRRXK9keScHXVqSUU6r+Ty11 6v8AmUcnOF/tlTLdiiTbZqilu9hSSUvPBjU1Y3A3VVTSjhqarvdnKvVbONepZyyDpqamYOFe pcxVU/uc66mQb95mlVV1qmlOpvCR36Po9bqWmkqdPet/0PsdL0uj09MadN2r1PLKPH0XpiX4 +pSb/wAk2+T6aXtXtppSSwiyiuUBpbmUK8ASsJoAITKNARAIERIgIkRAREQEREBERARJwQAL ckWxASAdiAiIgIIEi4IiIgiIgKZJqCICIiAiIgIyIABIQAn2KZKSiwAP7EHJVQpbhkvIpS3s TBJs13IjPJDNwAgWBBQVYpkiJzsUqB4hksE82QQKmbjZpwXPYJ7IgkrBsNnmzM8yUU5QPsxc bBfcCeO4TwN9nYFdXAsgMKGC/MBNSZqW8wNy7gErFwccMdrq5VK0gZhsqbW3Jcgm7gaqwYHl thsBBFx8lYATIocl2IDYzFUFe74JXVyi2mEZwjWMKTLckoG+EU2HYzj7EE/yvgyp5FXLcDsr N8Hg9b9X6D0fpf4/Wavtb/Jp03rrfZf1wfD+qfrHpvTvf0vQe3qesVm80ab78vsfznrus6jr upr6nq9erW1a81VP9Oy7C0fV+pfqTrvWtR0Vv+D0ic0aFDt5qf8AM/0PiApQ8hTcSFqNycRq l5uKqTRhPwKcE0anwEzEgrI1S5HBq05I5tcXPoelemdX6nrrS6bSdU5eyRZMHkpTrqVFCdVT 2R+t+mvpGvWVPU+pTp6eVpx+Jn3vp/6a6L0qhauolrdTl1NWp8f3Pr62tMqn7gNFOh0mhTo6 FC06KVCppRxrrqrqcvwCTqZ1ool2ggxRQ3lHejTteDpp6ajaTpTQUZpoTskdaaErsaKYWLi6 qaU3U/gorIw6q6vw6VLb5GmmrWbpdXtXCPT0/SVqHTqLxAHHQ061VOppVOcto9ulp9M1L01T 8HSinVoV1TUGprulP3abA0lpUr8NTXyctbUdP5NX9Dhra9FU/gOMp4A09TUbadX2MNsqVeE5 NQkpqzwBUUzfYHXTSo35Maur5R5tTUYHXU1eGcdTU7nOvUu7nF1zKIOlWpk5V1d7mHU5PT0f Q63UxU/waf8Ame/gg4aar1K1RRS6qnhI+n0PplNMV9T7aqtqVheeT3dL0+l09Ht0qY5bu2dF waEoShbCg2gmWLChCkVFyIrICzgogDQmKTeAMpCriXNgMiJAREQEREBERAWzIiAiItgIVfLA gIiIC2Ii2AiIgIk4IgIgECUbkRNQBJwREBESfBAQISAgEgMxYzjJqQwAhIrARAARrYzBVKEy lDNWuRGUM2gFc0pjYDCECRpSFh5uCBEpwWBDKkIMXJ8oobWxLtgBRl5GYYNKO5BRJmDUsKlC j9Sg2aW4PiRahTMBYC2JFctgB9wt2JJQSsBbZMxblClCySsoYBCu+Aqx25HkohAZS3Bp8jmm HcrxiwGXZZJd05NNWwZAtgEoAA3shZbSBmbkohk1aLBj5IJw1aEGFFmNt0ZX2FB2Jq+bEUfY gOYMvc0twjIH8LpauCiDJJwFdF5k1nDMKVsScKDOGOifLE5p8pmk4HEIqwUuRKFYuapeyu3h Hb0/o+p67XWh0ulVqVtxCR/QPpv6S6X09U9R1qp1+oyqf5af7lHwPpj6S6nr/b1HWTodPlJ/ mq8H73pen6T07pv4HTaS06Vxl+Tpq68fho2POpqbcyQa1NR12m3BUUSOnpyz0aVEEGdPTOtN CStBqmlwdaKUlexoZooUXNwoKqqmlTUznQqtZtOr20vaLgadbbdOjT7nyb0NKtVTXpVVN8qT todHUr0an3R7NOjVoVnSyDnpaWgl+LTSfiDoqdFYqa+R1NWqhOaJ8Hi1temqzoS+Bg9GtXCi jVPHXXqNw6pMP2u6sWVBQTtVdmlRLlqwqlUqXk516ihpSBt1KlQsnn1NRubs56mo7nLUryQb r1M3ONeoYqrnLOTqblEG6qlmQ0qNTVr9lFLqqeEj0dF0Gt1DVVX4NPl5fg+10+hpaFPt0qY5 e7KPF0XplOlFevFdW1Oy/ue+FwdNjO7KIjSjYGAblDZI1bkqskPgkRCalHM0AwJAA8kBJAJE QEREBERLkC2ItiAiREBbkRAREQERFsBbERJdwIiWHdkBEswRlAaIiLREREEREBEQAQmTQEGw /IbAZEkQC2ZfJNWyDxIFsSZeS5KqKbks4BbkRvYCeRAziwDAUrgqolg0o8GblEWPAJfI9gKL u+QFAt5JUTLN+B3MtwICZYX/APQVnglhucFAnOVJQosSurhN+IAuTMIW7OCX6AC+S2amwtAB KyhZB9xTmZQOXtABP7GZvLNNE/2Ay1HyWzVxTvgzuAOZkvkWAFNysQATBWFyBAWaJc8FCBZs 0gKXNweSatlArEFYE2PYIAFMBuL4MxyB/CVJEnCyC3JKracbg3wBCTB0lMTmjv02hq9Tq06W hRVXXVZKkliMqo/Q/Tf0x1nqtS1K09Dp5vXUs+D7/wBL/Renoe3qvVV7tTNOjsvP9j9dqatG lR/D0qUklCSVkMHm9L9O6H0jpv4XS6apt+Kv+ao3q6zqsrIxVVVW5bk1p6c5AzTS6m8nfS04 Omnpo6UU2sUWnSl3N00+DVK3aFumlNuyKJRt9wqrl+3TXuq/Q5zVqv2pqmnudtHpNT+SqkDO loavu91Wm6me7R09JKa9GPg1pUa+msJxwyq6quhP3abXwTo6L+BT+V+35Oerq0pfg1n4Z56+ pprs6V8o4v2y4hDBurU1G3+JNGPc91IK7hDSlSpeeChpTqu4gqqqaFYzXqKIWx5q9RuQOmpq Pk46lavcxXqWZxrqzcg3XWcnXuYrr2k9XRen6uvFep/h6XLy/BB5tOivWr9mnS66uEfV6L02 jTivXjUr4/lX9z16Gjp9PT7dKhUrflnZOxqQCxBpJAWwGjKViXc00VWE38iWxCERLnYkSyRD HcIJP7GkoAPJQiiSS5ATQLBABoyaAiIMIBIiAiIgIiLcCIiSsACRARNEQEREBE0RARfuRbAR EiAiLYgIiLYCIuxAAQaIC2AgQCrERc3AMEiJKEASTKEUMARCEAQqYuQFxcKumH8sbmlYzG4h EhWDKHYVEE3mJIkIH4M2nuaCOxRLBNLBB8ED2MvI3KOQMkNWTOCiyVxTCFkA2BOZWwpopu0A JBzYssljIEChTdj2krMDLZNNpk7OIVzLs72Ai2LOAmL7AQLDFtxKeQAuYKCwG4FOUAgt0QZS s05GFeClkUW2DD/U12kG90SgjkHOwsOSDK3e5PI5mIMrLA/gxoysGsbktVIR0qa9TUVFFLqq eEj939KfRNVSp6r1aaKM06O788DTX536d+neu9Y1v8Kh0aSf4tSrCP6V6F6J0HonTxo6aq1o /Fq1K78cH0E9DpdFaOhp06dNKimmlYPLXXVW222EdtbXdcqmy5ONNLqZqiiWejT0yDnp6Z20 6EkbVNrHSmiHc0Cig2qVEIrUpt4Of8T31RS/bTuwNVVx+Gml1VFRp6lVU16dVXwdtDpFUvw6 kfB7dLQroVtSmqPgg4aOnoL8+n7fJ2pp6en8tTXyarr1aKWnSmeTU1VVKqoj4KOupXCfs1m/ KPPVXqXmpMw2sxAKXKQC6nuk34FUupyyS9ilmK9RKYA6e+mmd2jz6mpJzrrOVepm5B0rruca 9STnVXLcnJ1zKkg1VXZlpaeprV+zTpdVT/Q9PRen6urFeq3p0Zvln2NHRo0aPZpUqmnfuXB4 +h9O09JqvWjU1F2sj6IReC7GhSIEVcSGxBHYmo0rq5T8mZEYuIiWCCJFuMQyV5RA03yhn7Ga SwWia4J5JP4HJAiYNgZHAJCAkRAREQEREBERAREQERFsBERAREQEREBERATxJEQEREBFsRAR EQEREBERAAGtjLwBFuEF+4F8FLFA7ASw7kCziDWwGUmUbsiRVKfJN2iQ7FBEUIhaIujJYsJl ZwAryMgUlXQnOBKnFyZEEoG7C1uGcook0kwFL5Mt+QKWWZ7D2TM9gKwPIrF0EgBXHcFCTQFv ALtECZmFCAWZcxc0rIzNoWAAJ4FyUSAZTuUtoohl4kAC4luAZXDAWBAXVTCTUbyzNoKJyrMy LcWyG2TInjALwWCnO0AZeQ3NGebgfwel2Po+iejdd6t1K0ul0m1vU8Uruz7/ANL/AER1XVuj qfU1V0+hZqj+ao/ofTaHSem9LT0/S6VOlpralXfnkzg+V9NfTHQei6S1Kktfqd9Spfl8H1df qbNUP5OWrq1aju7BRQ2yjN6mdtPTnJvT00dqVGFIGdPTSWDpTTJqimLmm0k2yihIzVqKlwvx My66qrUJpbs7dPo6LcNueQMUaOtqVe50qpcSezp9Oqlfj0P0Oul09CvTrNeTdT1KE41KWTRT 09KvQqTjqaulf21VL5Mauvq3TSODq90+5QUarrreK2zDqc3csPzSlZGlSqVLAFTN9hqqppUL JivUhNI81eo3IHXU1JONeoZr1FDSOFdeSDepqZONVah3MuqW1J6ui9N1NVqvWmih7bv+wHn0 dLV6jU9unS6n+iPrdB6dpaMV1xqV+LLwejR0tPSoVGnQqaeF/U77QUEXNNgW5oW4wF9ycwFU EriADt2FPZZMo0tyVGUssRTKwgBBKN5NKdxq6yRLzfciqiW5X3K8NIlSmIHACrsiCmbmwGVc AEyaALCZRoCIzbk0BERAREWwE0REBbERARbEQEREBERARELQAREBFtBEBERAREQEWxEBEQbA QQS7kBBuJAM2M5La4ARoyat8AZRWZAt9iqUiGncPJEJMCv2AzeXwJLBIqkEJntJUNrgNiAvm AmxTYM3wQEQ8g8O4rfIOd7lErhe42i4c3Ar9gs02O0QC32AlMWB4z+gzsHxIAlZl+wz2ZOYw BnAT2gqbTKvkMgV2WxWCAJzF5CYGdg3AJ4JIScxkAiLAIYfkAbBQS4KUAPJmM9jStIGQbALJ 2TWQDCbM7C8RCJQ0Bz1+pu6aH8nm/FXU225ZU0Ns76WmkZHPS0z06emoGjTUHSiiS4Mqm1jp SlTwUpKxh1V6jjSpb5ZRqutUrEt4QaelXrNN10+Dt0+hD/xNJvlwerT0uns3Q6X8gGh0+tQl Hsa4k7p1U0/i0V9pKqrSpUU6rXyeXV1q4ft1Z+AOmrr6STnTh+DyV10tv21VL5M16tbbmqfk 5y3smB0917Ns1SnU5eDNFKpU1Ga9VpQrAdHVTRKOGpqtyZr1G8s4V12ZNHSvUscK9SzMVVOT m6p3INVVrMjo6Or1Fft01PL2R36P0+uuK9aaaf8ALu/7H1tLTo09NU6dKSXBrB5+l6HT0Yqq Xv1OXt4PZvISP6lCkryKcmTVMZ3KDAk0mXYCV2SFOxJWgBIPgkQOC2BmmKDu8GjKi9zSWSDN jRhimBLNrkQlxcNoAEKYhEabM5kmRFliZUjIG5IyaAyMEIGErXNgkIERFfkCIgAdiIgIiICI iAi8EQERFFwIiICIi2AiL5ICIiAiIAIfkyjQEGwgBncSJdwBMSQ7AZAi2ArwRduCRQl5Jd3c mQEAr7ihAnEGYEighFJLBFUW7jCRXKIXIRQQckvuQTwFWSYDAqIaM5GLdwgon4+QTU/2HFpD vADN97GYz+gkAOzCUxymweNgJ2QTklYmBm1O9uCzO3AtStjM3kCmwOL8jtgz3AiIgIGISAFA 5MyyCdmDxuXku8gGW5AWgILtv3M5n9RgJAIgJ+wvEhYDOnpqIOtNCwjVFNsI1ZICppSVzNWo qU2/sZdbqftoieXsd9HpNSfcvbU33A4UL+K41KoWyR7en6WmE6dWPg76WlXSvxaCf2ZquvSp X4tF0/AGqaNShWrpqOepr6lKc0p+Dz6utpuUnXT4Z5qq5m7YHXV1lVP4IOHuWxlttnSmmLv7 AYopbb45OjaoVlczXWohHOuu1yB1NSZg5V6iyc69SJUnGquWwOlWpk41VysmZdThXex7el6C qpqvWUL/AC7/ADwB5un0NXqKoopssvZH1Oj6TT0PxNe6tfzR+x6KKFTR7KEqaVsjVuS4L5FO 0IsXcEnwjQs4NLALeSTA0lZ2l8lTmSxuCbXAGolsk5cRBTZpigIEt9hJ5Adg8EEAMQxISUYW bo2pC/YpnyMECVjWFAPsOr1KxoySAiXkhIiuOwIo4Al+hKwxISBpCZkQASADRAIAJk0BBAk0 AfIpxsZNNAREQEREBERASwREBNyXciABIotIEScIgASIgIiICIiAyh5ILgCtg04M4wScoCSN WSyZSSJgBReSICIYCEWLEnKwXcVugQQPIkKwBkkkhByFJbMNi2KJFNwWcCCLMhOyIlYIy25u XcYzeQvyQTckUS8kijKz/u5Lgod7lYAb4Dc0ssmpAzNmr3JqxLGcE2ATVvEBdrYUgcR/6AFK mwQ7ykOF2YeLAWwXxGSZd1KAkrdwi5EBQDz2EGBWVkZVpuJWbIMpfaQd57GnyBBlOCtdQPtj czEgTe5lmmtg2AGDhLuSUq5WA611KlXb7LkytPV1H+Sr28I69No6dVU1av4j6Gj07pvRrL5R NHm6fR0kor06l8Hrop0KV+Guqn5OlVWrRTmir5PJrdS3KroRB11NVUL8GuvlHj1dfUcr3yca 66XP4YMNt4ZeBrre9yopdV9iooSvWyqqhNJFGppoVrs5V15M6lebnGrUs4ZNG6q83ONepkxV XLZzSddUJOSBdd8nTpun1eoq/Crbt4R6Ol6DFWuv/tn9z6VCpppSpSS4RrBw6PptPQUpe6v/ ADNfselNvYmvBX2UFCiTab4Kncp8MoVE3LulAIleQNZdlgXxAKUNgJYgUuQXYp5A01JfIUu0 AqZblko0iRfsKTuUVLRJSC44HwBU2kUBEXCwWcMWSA0CJTsSQiJsNoDAwMXErPP2NGUVgJZa sNPYNhpfYaa1KRllBMiDsaQQsopZeqRMq5siMpCSEAJBc0Bm5oi2AiIAEuxEBERASS5LuRAR SyICIkTcyBE3JEAAjRAREACiIgIBAAgQYK4CEISQA0HJpggIDRlFixb2ZR2KBbIggipUYL7F VAQgSdi5Ak4AUDXckk9wRUJAoVhAFgSBrcgub3Mx2JsZKC0BFnDJ3ssBDWALuRJbO/AXSgB2 MsVf4CIsBTdA5QlsATbky72NOzyGJAIiJwLdgd6omyBASdybiVOQ7hbcCtuRZICVpB5HYyAg /wArIGtiA3wXmxQ0rsNwJ/liQGqMGWQSdmBApuAElYiYH2qKYX4tBP4RnV1dFSnQ6TlrazVq dZv4PJXq1uZqkDerq0/y1Vfc4Op3vIN+5jTQlet/AFTS6jS9tKs7hXWohHCuqZyBuqt3ycq9 TNzFepDOOpXm5BuvUZxdc2RU+6t+2m7fB7Ol6FL8Wtf/AJQPP0/T6ms7L2rds+n03TaekrKa uXk2klTFKhQan9DWDSXaZIE2l2BWZRtrgk5KYpnckt8gNhu8gXICm4HbwZ7foaAs3NKxkae7 AYaFq8oMW2gUrXAFk19jKyaW6yBWiJGJ3MqlLc1SkpIBCG4ruURFA07hoK7kYRETGSpwStjI SKcCgGbGaVm5pdh0CcluFKaRogFLnsQvsCgBm1iBQhyAqwOXgsisZAEaRmOBkBIylGBA0REB AhIAARAiIgIgECIi+QJuSIgAEaICIgASIgAFk0QEBGbgaKe4AA2YQSxIoAVignO5JgHZiAgO zBBsQGpRmAUxAxuA4QDtcgMxcIcmkTYECJeCiMGlWxLHci3CLa4WSY5L4IC0ZIrNhU4sQVgt DklZQEOTQNnYmxkNsAS7g0tx2YeQLGEGJY5+AhQBLewK7b/QcSwUw7gVThSZmwwTSiQM7SlP cgKYdmBNsIbwMu/DACwVXkl4IAKEU2DeAIML+pMHGCC8mdzZl3ZAKyzJbktweADl37A3aB3u Fp3YB8hyJXA3VXf8sBSnV4OlOnb3VP4M1VwmkQaTWmu5yrryZ1K8nGuuzUjRuqvNzjXXk51V zNzNKqrcU3b4IKqs6dN02prXVqd2z0dN0Sp/Fq3fB7aYShKEawc+n0KNKn8K/Fu3lnWlw0iL /aKNFZ8hL2FRhFGrO24Xf9Ah9oNJQBRdKZRpYM0qLwypUMBNU5h2BFh3wBLk18hTFxUK4Euc olwSlrsSQDPaRDHcVmZAWlsVKsFoNLEMCuip7k3wMPYgFOR8ZIk+CiksEstFfcLqQg74FNcp kqASRFUJWlktxLBCJEtyGMgBEtxUMYYl4BpGvJm+xENJMlKAqqBpwU2NSRAKZj7jSBpsdjEC BogLsAXETIGiIEALJoNhAiIgIiICIiABIgIgICKVyBQAX4EQAgsTUlAF2GYC6wAGpTAofBIA XAwC3NfIGYFECKqK5R2BSRGsgRFFsCREgpQeMErSGUVCiYY3LN4IBzsKxcm2UijLfAyE7kBf yl8g54GzKM/uCSzMwLV/BLMAUJSFtkNo7BES9gJ/cz8j4kIsBMIfgYabYTIFPAPgXC7GWwIG kLQMA2sRWggLeC2IgCYsAh5IKN2ZUxlFd77l4KCp7XBfJp4MmRbBcTOFuwIMSTaxcncDLcY3 JuNmLXYIswN16kycaq83MV15uca9TJkbr1MnF1y3cKaa66/bTc9vTdHRRfUUvjZFHDpumr1b v8NPLPfo6NGlTFCut9zdMbWNLBcFCncYZWJX8GhLJeHJLJW4AVK8EnKxYpKP9oBbU8IYtILw NEvsgFZyN8oN2Kq+wFT+Vof1ZmN9jTAabE1ADID2TwF8bFSUJrlgaRK/glEBf4AVgiTmRVlI DTuL8mXBpqb7EEKW4K5LBQp+GiSgo4KWAwoYFkiKRgyK4AuwwBN2uyIrDkERatK3DcEap3AE QrF8gIRoyWxLAwxEitkabDgVhyVkVwVyIpYkgwAkGBQCRljsBoCAChmiKV2AgREAkBLACQFK 5AQIAIo5IgFQlYtjKIBKCRSAJCEhOQGQfGxItgNMyWC2Av3IFe5RuBJiVOBKqbUgAyxhiAQQ FNuSRErFVbgKsWUGU5ZBPcHfuAtThlZIlZwFuSaBE4TyNkwd78FFZzd3B2UEgzeAJQS7FvaA bswHa7LKC+8ArJgKsgf5SXwE3YFlXYLLnA5V2E9pAHaXngOzJtTljKShfoAA8iD7AGxIVKVw QC8QZTFTcAJmbj8lcAThXBbvAxGAeHcgy+difaS2IgJsSaSdis3YLpO1gDfILBFswJYzIMcp mdgPC67tSdem6avUc1WR16fpaKPxVpOo9n2JgxpaNGkopUdzayym0spXc0NKCD4EocF4JFjA CSBORAaYkmwXIwuQEaYuFty27bSAp/hYqqM3MvEDCspA1NiTkp24KlXYGkCUppirIUAbilEv sZveMmk7MCU8uCThvuXPcU42kBiLDM5M0rIrIFAzCCR8AKUOCVrFSy/UBwoIBW4XR9xC++DU AiJOzBDuRACxLQjtAq0IYIEDrUZbDYqZaFXTIgWBQGtslVlfci+xAS8ErbESkiNpgZKVGQHJ PvkBUMqmCFRe5lkQpCyTyZlgWBIgECKAJEGLRYQKGLJ/AKdwCIJI0DuBERASDIrBAUWJWIJA UGCTuUXYBtBFECla4ByaIyVUU3IuxEaVitBmlRYt8fIDgHMkRREiIQQCBViEITySVgUJkv1J Fv3IgSlDTF4ZWzDKVEoCeTL7Cm2AESJOFBeCgcRkL8lvdWLaALCuDgflGYh9gJFArySwwBbk /gu4e1Q9wDnuCVh2fIJ2by/IBGShoZa8g22ANcg42ujWxkCXyV1sXJcgS8gywym4ADe2wyEr hkApxPgpUMptKBbgE2sHgQuQCm5eS2gLgTdzLyam8mc2AU4TWQLBlrkDtYTNMM0gFO7kk7RF gFXVwGm0lZXdy3f7mlCNCV3cUBAaSuCeSm5fACrsvJJWK4DAhNncpgBFX2Mp3h4NJWAdwcyk KuO4CrFnDCWmSvymArfuaUJbyCxAoCV1KLkqbbAlkDSZKdw2RTIGkoFWcIJeMknAGlCczImN jVLkCiclK7ly+SeAK0QNPIJWuKkCEzD5GlZAUSIERSCEoncqFWCSBGRvBiJ8mzKgsWJS9jWE CeSyrkQIpsxbBREwBWglBeRUNABEW+SqcYJXBCrLDIiQmdp/QZctbAWUT8kihAJFZIGBpOzD yCK3gBB9sirEASyzkRccgBQGAdwN25MyBARO6jYlkgJfsJJhBYsamxbB8ARERKYJSwLsii9y uSKphBbkXLM4Ihktw+BKIsB2HKgKvADdcGV3aKhJuFa5BiQH9jMtMbSDu7fcg0ZsrLcpyiVK W4oE2rFsUywmGUW4k1+GDK/UCjMF+5NzuVsAZ+LCpwXMgBJEyB8WgBW8mWu9hatkEBRCkKmp sD7zGxLsBTLCc2sTbF4gDNiJFyBK1gTzeB2B+AKeQ23LcgKxlqNxhIE4mQDGJJSpGNy9yMjF oy5kp7DNu5Kd4AzYHJTfEqSYAi2sShzcLbMCbcSZdxiLlN47AdUiVgTgUAi3OAJALQqUShDJ oKUYFRuzM8DsBGkCJRyAkUSyQEo3YxDlQwFYAcKbCm5s7GUKloDSibFKTvkKfkbeQFX2uK8A rcFICK7FMqAAWWLcktyStcBLKs0XyXYBm5TeCpiQ+4GvBUtpXgrF9mBqUlBK+clE5KbMgkJK 6Bdyhl8Fgk4DkC3Eli7KmUBJErFPZEGmslkKdy/QyykSBCaUwhRlwtxTMoHgypg3lAwLYoe5 Cv1KoJYIpQF3NGVgrpALAiIjUrsZ+5EBCBJw2VSrE8YAkRCnBL7Bi+5AKwBEBLBbERYsQgI0 0FsQoCiANGUoIjRleLmtjNLA0EiCiALBm72EVgolgqYeWGwCCUoSDcCJFsyTsVUuZJLLkiWb JBFFoZlzwaBEEryGMCnYKnJQZZLLJJXuQBZhMi1MknFgKbguSL/bAm+wK95HYItmEBMORyEb PcCYOEySgKokC/QlMXgeQeGgB5CV8lsDcuyAqobViacuA3yQEiRLBcgQMkrAplcARS4GUZb4 AlfcNrxLKO4RG+CCbacWAm7YCYZAmfca2ZkCalMyuyFS5uAFcIXI/KAAqkyagw/kDslyMIi/ cBUNTcaXBlWRrLA03a1yXO5lOxq2S6FcCnlcGdp3NKd4AtyIl2KNFyQSBrITOyIuQFTcVgKd x77ASlGp/DIZQUu/IGrZ4GDMu5pOVcCU8Emvkk3yOW4YF2m4rcEMvADdESLxsBY3QzawRzcr 8wAxyPkF3yU9mBqWVO4NyThbga2ZdgpfOB3mQGlc7EXglGACbTckSWFsIBuJKGCA0i3DGxBc IQKySJiAQJBStyZfJDTVsOMFMp2BIAJYgvIpAS5FND9gjuRARBL4AUi2giRcXCEZGbQxIjJE WAFXD4JZICKwrHAMC+SJeSXAE3wiIbQAJcGrXgzcHiEXFwpQSncQYCZce68mgIhkCIohBZJk ECwStgl5Kq+AXBrYz3KacIORV0DwES4FBNheAC33JQrSVncHkgm9jLNQluBQNBF+RKnDIKHs F7lsxWLsoE0SbbcknlsJsApRN5MvBqVBlQwFOJBwluNsGd8yAN3GLPdkCs227MAm4NZWyG33 KEln9QB77BZJwXyTXyBK6J4RIrzgAizLaB2CwFtAeCtJOyIBqzM72EHt5KJZd/IS2ohE9w54 JRBCECALZzJbhNgBOxETwwC3kHgUESAS4wZ7GnMcmGB28NmlYynGcDtZgavAoFi7JAKwKUqA 7MYTYD/NPwKlPmQV0W25Rr5kkClDPBQ08CoM7Ck4dgHciWWQF5HYN5kVZzzyBJuMjMNkuxbA atcMyt0WSpVrOwCuSUq2CUxDY5dwHYoUYBuMigGbdiU5iwCnKiYAVDtNykI+5UpywH/dhU7g lxgU1LVwBSbUNBsFL3ARl9g2mxAa2ZRbwCb4FzsSissktx+AUxsUWzFLMsItBKUvADfsWzBZ 7GkFgQg7kRDkMFJFaSIkRESsaW4FJEDNJgiAnMjLLckwBdy5C5rYvVQCsXaCCIhV57AgRVKy Mq95AEiIVM4GANYAzsyV1gbS2ScgChYLDKIItWovgUHYIvJAaW5BTadimUZi8fJoCUQAQICG 8kBRIQK+7KqRIkleS3fcInYNhi2WSwAK5LcUCtIFZqLlsCdmNLtcAThA7KTVuTO3YggROXgl mSiSV1uSmGkTyH3Alcuf7lLzLKVwBW9sAlMw7lHBPsAcl/vBckrN3ApsTjIRmGTugMynMMoa UtkpTxJN7AVKu+SdpAvABJSyaebABb9jSjLuZIDUow4FA8gAPIg8gMXyZW62Hdh9yCeDIuGC IIAbftJz7bgHNw+CwibnYCaKyTKwNWAPJPDuieJ3M/IBLBbi8AB3jsSlKSb7lmzAf1G8q+DM 2eTSe1/sA22GnPYyo3H9gNcKfkvGTM2g1tACmmSa2JeIKE95NB7irhTZEsgMjaLAOwFYp5ZI gJfuapcSZ+BlgMP3DTwCl5TkkA0LdsVlxcKcNin2+wGndBTvcJeyNJ27gReESm+UUuLLIGrA numuwU3yLwAlTDwwlRkIe1iDatMtk1ayuHIpvgoE3EQapmLoFeRW4DgVCUSYuNtgFN+RpncK XFmKbcgSFWnuCIBBf7kp+RXwBJucERbBUhBkBEiQgMmYYl8hEREQODKErCLCoAhYiMwRrFgY UK1xksCsAHklZ2BCOBzlk45AEMQ7BdiLIDyAlsXQzHBnfFyVhGiHcN4ZSQMK5JmUyLgd4B8b DYMlDyZsIKZZAqxZVyUlL4KtREnLZIINpKXwREFfOEUosZCrsBPMg7/BQKsmmyg8lN3cHi1y eYWWAFMWGF9jNUt2QD3IJf2LMsCJPuVJbgCFKUQLkC7hviRVrlFnAE+yM7EpwWZtIBjAbbi7 u+dwcK0gTwE/ckHwApvAdiICQ7AQBJNgTwQWwT2YJMSibti5mXIsz3JRNyEjMmY4IK4PgW9w aUZc7ABOLwW2EQArgl3LkroC28mKlc04aMtxK4AJtANw4EKgOsdjS+AmMXH5AjVLZnJq0zIF 8mjKzDgU7JAJpR8GJUbiBqHt9yThFTvsRoI4l3kKXKEBRK/kIFIB7gpd8EsNCBCsMCQG3VCv AL9OQStECsyBqEHNoBYxgrpvIG072CpvYFZOL/A7wBpOST2nGQpxcqYU2gB2fJLmSvlFgC2Y qYcWYWasyfkDXeWSCnHYb5wgFNTZz3JTHcwpyzU5IGdvuO3YEuMsk+8lD+5JxJFsBqzKYMlM gaw7IctoLTMlDmQFskZu3ccWIG8WBWKzhir4KLcUZ/crwF0yQLMxYby0rIIiKCSmQuqYRFBJ SBIdi8wTAiBKCRMMPyCEECJCBLApVBIQRQ7EiLBEQCUhYIIQKIiuQFYkr3JDYAKdg+RCLYFZ yPkMLADLyExS3BQVuQKz3LsUeCa3IJbvYp4uU8XCUsFEm+4TOf2NTmbGU4TArO4PdolgptDQ AnCLeeCXguQJXm5Ikos2UrwBc3BTHgsO25fYCnsDbLYlMcMCnyRW3LE/oBcmVF2iy2UWaAsq FBlOKSfBAUg0O7MxHIFeSmZ8luUMCJEXaQLsDsWCYAsFYsBL4IJu0ozL5kbwGHGRBOL3fyBN pkQEIue5OIbnAW5uAKEmpQK03FgkgLCJ9rkWwGShxsUk3wBmbuWjIy1PAICeAbsTcBEgdyXY iTSVkwFEsBMbCsANODSXeDCNLyAqNhQPgdgNUlnDMrsNEyXQw4FYsgSzkqVZS4A0mxkJui+f sUawSMp9jS3AiWSIC+RfCYErAa5mLXIL5G0ANPcU3DM34GnMAasObbGbr+4p8XAkkkPbsF3g VuuwBTTGPsbTtjBnYvmwCuxJy4JQwgBHYFbDHYBnsSnFoAad5cAShLJJhKi4q2wC3KksqESv jgqbSBLk1mbmRaSAQY2ZSiC7FjP6FsVIEmm54GYxcEhABKdyv4KGQWWXjAQ1uAvyKsZQxKAW BLwLdgq8kCqVyTAiJkDVFoJFl3XySyBLMtiFipCHyGRs5CY2YXUUz2JhbkGnAxabgT4BpkCe AyAwV9iVkErkIvAzBPFjN5A0V9yDHJKEzSstk85GcgVkuA9zCb3IoZBZ7lbkzCnN/wBgNN55 BN3jJOHuSwBSycBvASA7SWFJTZpyW+QC12SmPI2cgpVoAli4WFXTYbARWuCdsMntdAG0opbX gcJxcIlyn8ASf+2DcE2pCIvswFJRM3MtWEFcCUpYUgL3QAScSW+SLbAFyDzJWfIWAncr/MFs Dbjh+AF4MxbZjNwTluSC37F/tAp2uD90bkA25ZMliYIC+DNpkbGXAFMl8kDAFh+S8tDZfIbN OPIAwVky2mQd8ADJRBAwJhMMuWikDtK8jhGLPAztyBpXFc3gJhyO+QJPMjbcFO8TsNtwFPgU Zwt2K3A0ScJhS5YgNOGpG5LuoLfdFgU3ElT+obldoo3ZA5bL9Ruk8ARLcsFHEgJErEApslvI Kwy4Ae0kszJLbshs+wBmb27mqV+xlfoNLiQFNK0yLzBlXu7QScyBtFTLBSl/6FTloBSu+SRb NolMN8ALtdEsXCnF8iojumAlyDZK7APj9DczyZpThzlj8kDSneVPyS3Clv2safyxJQrkUlyZ ECIimMANIyjKcEgNZwVtmGJ3Kh3yAtJuS+RM1XsBpIplgFOGBp8IgX5iW5Ay1kCLaNihXEYJ XUBHcQK8skTiJkF2QDkluUdyQAsyapmLkwW9wJWsSzBbdyTzAEryVuxB4YD2IFlrclbMgKeQ W4lcgJJKCeILYgsySUB7slTVKko0EWuzLlipVmUULkETSW5EDUC7A/FypiGiifgIUXyNokAL GVcpvciWQJJ7FablYk9wLkIjcpySj2uAKbOwS2rkrrBICcvCtuUWgKo4krwBYVlYNrE8Q7hj wA7BKTJvjBJSmwD4KVEKS8g8AMzMlsE9inZ4AHL4Ity2Ak1wAxuEsCT7QCEynkBaMq3JpA+Z AE8ygbh2GVANcECnOQ2dwBsgV5CLZJWKZ7AYd8lsN23JkBKSACUmZu1aBf5bGQDbIEQBvwTm 5BPIEu/IMZuEu4HVcyK/Fgzi6uSeQOixcgXmSS4A0nypJYMw0pNKWAo0o3cGLX7CnyBpWfYb GWxW4G21DuE2gPsWwGonJpGU05JOFJQqxJ8hI25KKFBqbcAQGiWSkKQHJU9yWLFu+QFRdEoy pAaeQFWuUBtclMXeANUwxm2YDGAXkDS7N+SLKt9yh9wFbtlM7fcKW0oglnPkDQpKMphKBRhA PIoHcWwJXsx2h4MvPCFgKzsV/dLDDjkVjcCWcyM9jMTuLlKQJPuXYv3JTMAKtCFYtYG4JQBp XyThGU7vAgUyNLlyCTJNogb5gabyCbfAJ8FDSnGCbjBSHIGpUuB+Dmv92OhBA1LLBSBbeRvu EEURbCFOHJNF8iErsRQ7yE8CErmTItskoXkG72gs3diwM3wTi8hL4yDcoo1TEwDcOAW6FQ5k gM+DTlTYFhl7oRQCuWE7/cAGZGpggjuBJ2uy4JQDtyAzcFuSLFwJB+whjf7AS7Fu7l8ySjIA hv7YsDYrAB4Ir8yW/YCUeA3lbA75wOABDU1hgsMGBJuSqbgne8/qEp7AWAmLXJzBTzcB5QT2 LwEgLupYYREBIi2BKQKbBuLzYAIKim5YtkgO6Cp9xZmL8gPulAnsXwRBbXCFuXnJWalgDhN2 YTBc7gp4ArNk4KQmzAZsZnyJlu39QJmZXIyvsD7AShgWzDa4FF7QHJSQAlyEtMo7sIvAHXYp GHOCAVexqmXJn5FRFmwNDsCUpyWbAMqC3BT4GmYugNIiSJeQNECvmxQ1gBNTeJRkaklyA2zI qHL/AHQbXJT7UUabglLRlfcae5QirBDgUvIFPb7DsSm8kkBEnBLsUPgByiUOWsoFIz2AU3uX kFL2NJON7AVMRDUl4kLp/BJwBqc3sL8mafFi/FwgHbBpOTCb4NbygGmE9yXdBLuySnIDPgpW CgmpvhgLKHs7dypJb8gSiB2aCne0EnE3Ado2JOCBzLeQGneSsnuSKLXAUpl3uWMEtwhwBS9l 5GdilLuCm9gNJxMEmgURdWFb2AVDJ4tczhyOAL9yplTA94BAUim+weQVwNKoW4MpWkncCTaF NvgJGlIAQy+CcyAFHb4GG8v9BaClsB9qVzL7mm4M5UgUJYItyWL2AllwRbbSH2AdtwbsyVTe CgCmdrFEIsKEia/5QJTAzYzllDgCRPckUXuBEsMMKCSYESwGwqcoARLdFbEkltcCXMyXJbML 8ASdr2KWC7IpikCbcw8ksOQUzLF3WUAYVmWH2C8YGJTAkpn9DLfAor7IAmSwiSsTQArMk4KG skBbgnI/DJ0ypj7AVryZW6QxGEGNrgTwCfGBuyxsQEq1yf6EoDnIEzKmdxTZOXcgpUMzcgys gSnGe5XLYLsA8/sOEEMI4YFKmxbSxVgcsA2yZ7FDzDBt5aAgdla45YKQCJuEjDvIRYAeZKbb EwSsATeCbUR3JrgIc7gf/9k= JPEG MS_SOLVANFLOW_H2_DB.jpg /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8S EhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/wAALCAQABAABAREA/8QAHAAB AQACAwEBAAAAAAAAAAAAAAEFBgIEBwMI/8QAUhABAAEDAgIEBwoIDAcAAwADAAECAwQFEQYH EiExkwgTFRhBkZIUFhcyUVNVYXGxIiMzNFRyc4EkNTY3Q0ZSVldiY5QlJidCREV0R4OhZLLR /9oACAEBAAA/AP2WAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA+cX7M3arUXKenTG8079cONrLxrtybdu9RVXHbE T1lzKx7d2LVd6imueymZ632jr7AAAAAAAAAAErqpopmqqYimOuZl8py8aLXjZv0RR/a36nO3 etXLfjKLlNVHyxPU4WcrHvVTTavUVzHbET2PsAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJXEzRV TE7TMbb/ACPM9Qwc+riz3FpmrXL1+qY909fxKJXhvBvWuPZrx9RuX7FiKqb8VdUdJ8tZnVsH jiNQzYivTq5imiel2T9j0zEvW7+Nbu2p3orjeH1AAAAAAAAABjOJbNF3Sb0XcyrFtRTM11x8 jzXBwr93Sc7LytXu06fZq6NiY6/GRPZLZeEMTUbXAOXYqyKrmTcivxNVU7TtPYx/LfKy8DNj TNXpinLuT+DMTv0npEdYAAAAAAAAAAAAAAAAAAAAAAAAAAAAA62oZOLi41dzLv02LW3Rmuud ojdqWj8O6Pg5uRxHhZ9V+muN7lcXN42drL0zAsaLk5mDe8V7tuRcquVVOpn8NaRRVj6lqmoV WqaJiqPGXNqZbhgV49zEt14ldNyxNP4FVM7xMPtv1dkrv1diTP1Su/1Jv9S79vUTPV2G/Vvs ejsN/qN/qE36+xh8biHCv8RX9Foir3RapiqqfQ+1jWcS9kZNm3M1Tj7+MmPRs6GNxdpl7Rbm p0dLxVNdVEU79czHyO5w1r2JrmPXdxaaqehO1VNXbDKxP1Su/wBSb/Uqb/Upv9SRP1Svo7E3 6+w3+pd/qP3MBxZRo+oYlWk6hqFGPVe/BijxnRqndi8bh3R9P021w/fuXKrN3aq3+F1zs7Oq 6dRf1O1h2sjxdumiKehTVtOz56Lo2gaNr9UeUKa865Vvbt3Lm9f7obdHqAAAAAAAAAAAAAAA AAAAAAAAAAAAAASqJmmYidp+V5Dz54Y4r1TgTOsaRqF69kV3Ym1Zjq6nl3Kfl3zc0bQMm9xD r2ZaxIpmZwp64mHu2r2blfLDGtU0z0+hREfLE7vAOdPLbnJqtui/pGvZmbg7RPubfaKIezcs eGuLMPl/pGLm6res5NqxEXLfyS2KND4j+m73qPIfEfo1u96ljQuItv47vepJ0PiPf+O73qWd C4i3/ju96knQ+I9+rW73qPIfEf01e9ROh8R/TV71HkPiP6bvepY0LiPad9bveo8h8R/TV71J 5D4j+m73qd3RtK1rHzIuZeqXb1uO2iY7WHv4N+zxxqWZiYv42qxEUVx/3SwHBN3iHG4tzsHP 0uaLGX0qrlyZ9Ozhf0zJt8HV2aMWbNMZVdVVcf0cb/GZTk/g5drTtSoi9XMXK46GRMbTV9bN zonEXSq21q9tM9XUkaHxHv163e9SeQ+I/pu96iND4j369bveo8h8R/Td71EaHxHv163e9Sxo fEcTP/Gr3qTyHxH9N3vUsaFxH6dbvR+48h8R7beWr3qJ0PiP6avepPIfEf03e9S+Q+I4mP8A jd6evr6ngnhE8vuZ2s8ZYdzhbMybsU10zVepnbofW3vl/wAOcX6Hq2kW+KNYyNTveL65uR8T 6mwczNL1nVNXrsaHm3cDKm3HRvUR1w8K4c5ac4sLnVgahrOqZeZhU1VfwqqfR9j9X8P4WfiW ppzcyvJqn01MtHYAAAAAAAAAAAAAAAAAAAAAAAAAA+WVXNvGuXKe2mmZhrfLbW8vXNKysjM6 PTt5NduNvkiW0gAJMRMbTESVUU1UzTVEVUz1TE9jW+YWo3NH4XrysW3bmaLlNMU1R1dcsrw/ k1ZukWb9yI3rpjeIZCIiI2jqgI6oAAIjYAcYt0RV0ujHS+XbrTxVvp9PoU9L5dutKrFmbc25 tUTTPbTt1SY9m1Yo6Fq1Rbp+SmNofQAIjrAAEmI6526/ladxRrWRh8a6Tp1u3bqt5FEzVVVH XDbqbduqYuTRT05jt263PoxvvPXMfKoAAAAAAAAAAAAAAAAAAAAAAAAAA+GofmV79SfuaXyW /k/nf/bc+9vYAANN5wbe8u9+2o+9nOEtvION0ezoR9zLAAAAAAAAAAE9jzzjj+cnQf2dX3vQ rfxKfsUAAAAAAAAAAAAAAAAAAAAAAAAAAHw1D8yvfqT9zS+SsbaBnf8A23Pvb2AADTecH8i7 37aj72c4SjfQMbf+xHZ9jLAAAAAAAAAAE9kvO+OI/wCpGgx/p1fe9Dt/k6fsUAAAAAAAAAAA AAAAAAAAAAAAAAAHw1D8yvfqT9zS+S38n87/AO2597ewjtkABpvN7r4Lvbz/AE1H3s5wj/EG N1bfgR9zLAAAAHpNwAmdoI6wAAAeeccfzk6D+zq+96Fb+JT9igAAAAAAAAAAAAAAAAAAAAAA AAAA+GofmV79SfuaXyW/iDO/+2597e3Guumiia66oppjrmZ9DSdH4x0u/wAZ5umeVsSuYqiL dEXYmZbxExMbxO4ANN5wfyLu/tqPvZzhOI8g43X/ANkfcywAAA1ThPVczNnWfHbTGPdqpt7f U6WkaxqeZw/qV2mIm/bpnxe3y7tTucxdQta1hUx4ucO1Zm3mVTPxbvohwv8AHGu6frODevxR OBkXujXO/wAWn5Xa4f491LUdX1mbsURh2L/i8eY7aon0tj4Gz9S98ORpmZXNdNNvxsTM9e0u 7o+rZuRxJqOHXtNu1VMUbfY0fWuO9ZwabWFaiirLtZk1ZET/ANtnftfbO4o1vU67uTiRVVpl cxM12t5qiPqeg8DZNnI0ambeTVenfr6VW9UfazwAABPZLzvjjf4StA27PF1fe9Dt/Ep+xQAA AAAAAAAAAAAAAAAAAAAAAAAAmYjtnZ18+YnCvbVR8SfT9TTOS/Vw/ndcfntz0/W3qO2evd19 StWr+Dex71fQou0TRM/a/HnAnLScXwnc/Nrybnk7CvxXbmap2r3fsq3FMUR0I/BiOpyjsDeO zc+oabzdiKuC70RVT+Wo9P1s3wl0adAxo6dPxI69/qZaJjb40ETER11QdKn5Y9ZMx/ag6VPy x60iqI7ao9azMbfGg6VP9qPWbxPZVBvHywbxPZVDSMbhPWsLVMy9ha1RbxMqua67XR+Vx0vh LWtO1GquxrNHuO5P4dno9vyujXyuwa9L1PEnIpmrOy4yJr/s7T2Mve4F07Ipt2cmqmvHppim aPl2Y+9y8s2dRs1adfosYdE7zb+V3dS4X1WeJfLGlavRi72qbddHR33iHXr4S1y1qnu/C1qi 1XXO96Oj8ZKuXuNd1vUNUv5FFdzNw/c9UfJPyvvpfB+Vo3DVnStH1C3Yqop6NVc079Jk+COG 6OH8S5RVfi9euVzVXXv6ZbFvG/xo9Z0qflj1m8fLBEx6aoOlT8sesmY2+NBFVP8Aaj1m8b/G j1nSp+WPWRMRvvVBvTt2x63nvG+3wk6D+FTEeLq9P1vQbe3RjaqJ6nIjrN4323jcAAAAAAAA AAAAAAAAAAAAAAAAAHkPhUavqelcuZu6VlXMbIuXJoiuiraY6nk/AnKHjviTgzTtZq451imr Lt9Kun3RO0Mrp/g88Y4NFVrE431e1RXV0qojI26/lcPBwvcUaPzf4j4U1vW8zUbeFdpoom/c mp+mtQxKc3GqsV11URv209rXLXAumWsn3TReuxenrmv01Nc1fijVbd6rQrOPdi54zo03ejO3 R+XdsHAWVqcZ2ZpudVF23YpiaLu+81btpzKppxr1VM7TFuZj1PAuRXE2sZvOrjPC1POu3cPG s01WqKqt4p6+vaGU13wjuEdA40nQNWqu0dc0xVTRv1t61firE1flrqet6LeudGMaardUxtMS /MHLfl/xlzRw9Zy8ri7U7Vq3k7UW6b89FvFnkFxxZtRbt8c6xTREbREZEucch+PI/r3rP+5k nkPx5/fvWf8AcyfAPx5tt7+9Z/3MpHIfj3br471n/cysch+PI/r3rP8AuZJ5D8eT/XvWf9zJ 8BHHn9+9Z/3MnwD8ef371n/cyRyH48j+ves/7mSeRHHu3Vx3rP8AuZI5EceR/XvWf9zJPIjj 30cd6z/uZPgI48/v3rP+5lKeQ/Hkb/8APes/7mV+Ajj3f+Xes7f/AEyfARx5/fvWf9zJHIfj yP696z/uZPgH48/v3rP+5k+Afjz+/es/7mSOQ/Hkf171n/cyRyH48j+ves/7mT4B+PP796z/ ALmT4B+PP796z/uZI5Ece7/y71n/AHMnwEcef371n/cyRyH48229/es/7mUjkPx7178d6z/u ZWOQ/Hkf171n/cyRyH48j+ves/7mT4B+PP796z/uZSeQ/Hu/8u9Z2/8AplfgI48/v3rP+5l1 r/g88X38mnLyONdWru2aZ6FU5HXC+DHf4m0vnLrfCut61l6jax8Tp0eOuTVt1vbuZHMrhzgL GjI12u/TRMbx4ujdqnKDnhonMPUruPgU1026apiiZp2mftapxBxJrdnwntD0ejOvU4F67VFV qKvwZjb5H6KAAAAAAAAAAAAAAAAAAAAAAAAAHknhR6Jqmtcu/EaTiXMrJt3Jqi3RHXPU8p4H 5pczOG+D9P0OOW2r3KsSjoTXEdrN087+ZkTH/THWJ/c6Xg5YPF2p83uIuLNf4ey9Kt512mum m9D9M5+VTh41d6qmaoieyGuWuOtNu5M41FG96mdqqN+uHQ4stcSU2LmTgdC/au256Num3HSi Z+ty5Q6frGLpFd7WKp8bd/7ZjrjrbnmUTVjXqaY3mbcxDwfkbwhrOm85eMNQ1TAu2sLKs002 blUdVfX17M7rHg+8F63xhOvavi+6J3mYoirad24a7wxh6by51PRdExaqKKseqm3b33mZfmfl ZxVzH5cW9X0y3y/1XOpvZHSt3aI6tm6fDfzM/wAMdZ9Tj8N/M2d9uWOsx+5Z538zf8MtY9S/ DfzM/wAMdZ9STzw5mf4Y6z6ied/M3tjljrPqI54czJjr5YazH7iOd/Mzef8ApjrPqPhv5mb/ AM2Os+onnhzM/wAMdZ9RPO/mZt1cstY9S/DfzM/wx1n1JPPDmZ/hjrPqX4b+Zn+GOs+pPhw5 mb/zY6z6j4b+Zm/82WsbfYvw38zP8MdZ9SfDhzM3/mx1n1L8N/Mz/DHWfU4/DhzM2/mw1n1L PO/mZt1csdY9RHO/mbv/ADZaxt9hHO/mZvO/LLWPUvw38zP8MdZ9SfDfzNnePgx1mP3E87+Z u382Wsepfhv5mf4Y6z6knnhzM/wx1n1E88OZkf8A4w1mf3Ec7+Zm382Os+ojnfzM2/mx1n1E 87+Zm382Os+onnhzM/wx1n1E87uZcxVE8sdZmJpmOx1/BlweLM/nHrXFfEHD+XpNrJxOhRF6 PTu96424G4d4wxvc+u4Xumjbbt22azyx5O8NcBajdydGsdCiuZmKd99mi8QcK6/f8JjRNct6 feq06xdqmu9Efg0xs/QoAAAAAAAAAAAAAAAAAAAAAAAAA41TRt+FtHybvnXVZtztcm1Rv2dK Yhyqi1TTEz0I37N/StPQpnaOjEz6Hw1K7as4N+/et9Oi1RNcxMduz8e8C8xr9/wnM7Euabf8 m5t+KaIm1O1Gz9k2+jNuIo6qZjq+xyiIiOqNiZiO1Ka7czPRqpmfTtKxtPWVTERPSmIj07uM U2+2KYmJ9MQdCjr/AAKTxdO3xKdzxdG/xKfUeLp6/wAClehT/YpPF0f2KTxdH9iPUnQp2+JS vQp/sUni6NviU+pIop2+JTuvi6P7Meo8XRv8Sn1J4ujb4lO6+Lo2+JHqfOmqxNybfStTXHbT ExvBVVj07zVVaiI7d5jqfKjLwK6aqqb9iYp7fwofazVj3qOnam3XT8tM7uXQp/sUrNujb4lP qTxdG/xKV8XR/Yj1JFun00Uni6dviU7/AGHi6f7FKxbo266I9SdCn+xSvi6P7FPqPF0f2I9S dCn+xSvi6PRRT6jxdG/xKU6FHXvRHqKPF01TFPRpn/8Armdjj0rfS26VPS+TfrWJiVAAAAAA AAAAAAAAAAAAAAAAAAHyyrtVnGuXabc3KqKd4pjtl+evCR5tcWcIVadd0PAv2JuU710VU7zV 1u7wPzR4i4u0/SfKXDudpdVV+npXrsbU1/Yz/NzUcujV7FqxNy90Zjqtzt0PtfTM4xxrmo6Z gX86ii1EUde+34XyMjzI4lzuH9Rws/Awb+p0zEzFix21dTxXQee/HGt81/IeTo2Tg6fPbjXb f4U9b9C6DwjpMatc16rT7VrIvbVRE0R0qZbdEREbQ0/jziXP0jTM+cXTL9yq1b3ou0x1bvz1 yy8IDjnUde1DTdQ4czdTsUXKqKLlmjaKI+t6B7+NY0fHu6nZ0vL1K5Mb+5bXxo+povL3nxxz r/N+jRs3RMvGwJoqn3LXRtXGz9E6nq2RlcJZ2VOJdw7lNqZppr7XgPNTnnxlwzomJjaXwzn2 p6MRObVRvRV9b0nlDzC1zW+BMXUtQ0jJyMm5VMVVUxtDcPfXn/3fzPUnvsz+lt73sz7dieLM /fb3vZnqKeLM+Y/k9mR+4jizPmZj3vZnV9RPFmfH9Xsyf3L768/+7+Z6kjizPmJ/5ezOr6in izPmN/e9mR+4jizPnf8A5ezer6inizPmN/e9mR+4jizPnf8A5ezOr6inizPmN/e9mR+52tI4 hzM7OjHu6Nk49E/99cdTX6NsDmRqmdN2qqinHpmbfSYjhvXNP1vWtV0zNv1TXfrmu1RFW00x HocOGNJ029Tm5l27etYdXStURVcnrqhmOVeRcsW9YtUeMvWse7EWqN952Zn315+9X/L+Z1Tt 2dqTxZn77e97M9RPFmfH9Xsyf3L768/+7+Z6kp4sz5/q9mR+4jizPmZj3vZnV9RTxZnzv/y9 mR+4jizPmZj3vZnV9RPFmfEb+97Mn9xPFefEb+97M9RPFmf0d/e9meonivPiN/e9meojivPm N/e9meoo4sz5mN+Hs3rn5Hg3OTnjxrwvzD0/T9L0rIuYl3fp40Ub11fY9J4A421birWLV7O0 bL0eZop3tZEbTP1vReINVyNNiPE4F3K3omZ6Ho2fmCrn/wAd4PNC9pEaHlajhRVtFi1b/Cp6 3o08aavfyp1adNyrVyI6XuKfj/Y8x4q8IXjz38afpePw7m6Vi15FFuui9R11xvt1P1Dw/rmT qFVNu9pWRjfgxPSr7J6mdAAAAAAAAAAAAAAAAAAAAAAAAGK13hzRdcuWq9W0+xlza+J4ynfZ M3QcLIx8WxRbpsW8a5FdFNEdXU6fEXCeHq+TRkTdqsV0/G6EfG+18c3gbh7Jox4rwbUV2a4r ivo9czDKXtFx7mfjZW/RnH+LTt1Phc4V4fr1XyrOlY0Z0f08U/hM3ERHYPll2LWTjV2L9EV2 642qifTDE6bw1oGjWr9zT9Mx8TxkTNyuinaZ+WWC4Wt8O1ardnAyK712Z/Ciaepn7HC+g2dZ 8r2tLx7edG8Rfpp/C62R1LEt52DdxLs7UXKdpY/K4c0jM0qzpuoYNnMsWqejEXKd3c0fTMLS cKnD0/HosWKZ3iiiNoh3A/eentAgD09p+8B0K9Jw6867mVWqarl2no17x2w6dnhXQ7Gf7vsa fZtZG0x06Y6+tyvcPafXpVWBRRFu30pqiYjsqn0vpw7omLo2PVbx+uqvrrrmOuqWVACD09oA QDDZ3C+gZ+pUajmaXjZGXb+Jdrp3qp+x9bui41zU6c7sqppiIiI6o2ZSYiYmJ9LCYnCnD+Lq NWo2dKxozKp673R/CYrO0/Q7fEkZN3ImMmqrqoiGUz+FuH9TybOZm6VjX79uYqt3KqfwomOx m6Y6NMRHZCgAAAAAAAAAAAAAAAAAAAAAAAAAAD5ZlEV4d6irsqomJ9TyvhWLmj8S28TTKqb1 q7d2vU7bzRG/pesxvvIAAAAAAAAAAAAJMdjynivHr0zifI1ijUbNUxcifc0zvVV9j0/Tbs3t PsXZjaa7cVTHybw7AAAAAAAAAAAAAAAAAAAAAAAAAAAAJVETTMTG8T2ulh6Tp2Lk15OPiW7d 6v41UR1y7wAAAAAAAAAAAADFZvDuk5mdTmX8O3XepnfpTHaylFFNFMU0xEREbRCgAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAACVVRETMz1RG7CxxTokZVzF92x42311RMJpvFmh6hqXk7FzIryf7G2z7XuI9Jtal5OqyY9 0/2NmVpmKo3jsUAAAAAAAAAAAAAAAAAAAAB88i9bx7Fd+7V0aKI3qn5IYOOM+HpsV3ozo6FH xvwZ6na0jiPSdVs13cHKi7RRG9U7dkLp3EOlZ+XOLi5MXLtM7TEQyoAAAAAAAAAAAAAAAAAD hemIs1zPZFM7/Y8wx4wOIeMfcOPa8RaxKunNcxtNz6vrdzRMTHq4uytXrtUYtnAqmz0pjo9L djNft2sLi23q+B+Ov3qopqpq642+p6jp925ew7V25T0aqqd5jbsdgAAAACSQAAAAAAAAAACC QAAAHT1i7YsabkX8mmqqzaomqumPTDzbhmNK1C5n67cxv4PanaxYin40T8sMtwdhYum8O5l3 NiMevKuVxRT2TtPZEMRwpRGj8YWMTAom5ayqp8dNUb1Uf/8AHqwAAAAAAAAAAAAAAAAADV+N uNdF4Y0W/qWfk0eJtVdGuJ9DUOGOYnLfWsK7qmh5mPdzKImehT27tr1nJwbnB1OoX8WKrd+a a66d9vT2tQ4r5l8r+F6bN7Pz8enKpiOhRPbEt54d4v0bWdFxdVsZdHisijp0x9TIRrul/pdB 5c0zeY910nlzS/0uk8u6X+l0ka7pc/8AlUEa5pe/53SeXNL3/O6Ty5pn6XT1FOuaZ+l0nlzT O33XSRrml9f8LpI1zS9p/hdE7MdxdxBd07h+dR02z7sq8ZTT0Yn0S62ocU3MfC02qmx0r2Zc iiad/iuxqev14us4mlUWoqu37c11Tv2bMHonFt/UeKa8Gu5NimiduhPpdjjziq/pGt4Wn297 dF+PwrnyNot6ni2cK1eyb8RFUR1z6XGNc0vf87pI1zS+v+F0yRrml7/ndJ5c0zt910ka5pe3 53TJ5c0yP/LpI1zTJif4XSRrml7b+66CnXNL2/O6JKdc0v8AS6ZI1zS9/wA7pPLml7/ndJGt 6ZVO0ZdO7S+J+cnBfDfEePo+sanax670TtXUyNHMXh65f6drPt14cUxV46OxhsbnhwHm8YY3 DeBq9nJyr0zE9H/tmG+eXNLjty6SNc0vf87pPLml7/ndJ5c0z9Lp6iNd0v8AS6Ty5pm2/uuk 8u6X+l0ka5pe353SeXNM/S6Ty5pc9Xuuk8uaZv8AndJ5d0v9LoTy5pfV/C6WL414gytJxcK/ g405NF+7FNcxPxaflYrXuK9S0+5jZc4tXuWY6+vqqY3M5jXrOreLjHn8K3Exa3//AKyPBHFW RrWsXrV+5Nro1dVqTiXizIw+MbWjxVNm3MRPT9E/U3C7n42Nj0V5N+KelHVPyvl5c0vb86oP Lmmb7e66Ty5pnb7rpI1zS9vzukp1zS/0umSNc0vf87oPLmmdvuukjXNL7PddMnlvTOuPddJ5 c0vf87pPLul/pdLXOYXMDhrhrQ4zNUyLdWLdq6FW/ZswXDvMDl7naFVm8OZFjJqqmN7VE9e+ 7Z+LcjT6dI0/NzMaKrc101RG+3R+tp3EvNrljwnmTeuajj06hemI6HpmXpOh67p2r4ePkYl+ muL1uLlMR8ksmAAAAAAAAAAAAAABMxEbzO0OFq7bu0zVauU1xE7TNM7uYAHoed80+WmHxfw1 laXF25TVkV9Krr6mj8DeDjw/wdpF+7hZeXXnVUztTNX4O707VdKv18BWNNqroouU0001TVO0 PKuY3gz8M8X2qM2nOy4y4iJ26X4O70fgnl1gaHwnp+j13bk1YtqKJmJZeeD9Nifyl5y96GnV RP4y64+9DTYjbxl5fefpvzl3rSODtNifyt71kcIabv0vGXl952nbflLvrT3oadMflb3URwfp s9cXb3rPehpu+/jLx7ztN3/K3vWRwdpsRMeNvet9NW4fmvQKtPwa53mqKomqfkajxNwJrWb7 myMLK6F+1VE9Ga9qY+x19V4C4jv3sPLsZ38Jt0/jKpufc7uo6Hr1zOsV1Y2Naowtrs3LUfh3 Jj0T8rta/Z13XMCK7GBizPV+Fcp/Cj7GbwOGqa9Cs4WfdrmumelMxPp+Rfefp3X+MvJTwfps dfjb3Ws8Hadt+UvdX1pPCGmzG/jbx70NN338ZePefpsT+UvdZHB2m9ceNvesjg/TejMeNvbf aRwfpsbx4296yOD9N7fG3vWvvP03ffxl095+nTE/jLvX9ZTwhpsVdKLl7qeTczPBy0fjfjDD 1TOy79vHsxPS6FW1XazlnlBomFHkW3m3vcc24p3qq/Datofgv6DoPMjE4l07Nya7VFU1XKbl XXvPyPZvehpu+/jLvyJPB+m7zPjb3rWeD9OmPyl31p70NNnq8beX3n6bv+Uu9hHCGnT/AEl7 qT3nabM/lbyzwfp0Tv4y96yOD9Nmd/G3vWnvQ02I/KXlng/Tdp/GXev6yjg/To64uXZ/eRwf pu/5S727ufEuh3czTcfExauq3XvO8+hr/EWicRZ+PY0mKMf3NEbdP0wwtzgXWPKNqiKbNUW9 p8ZM9c/UyNOka5j6zb1O5jWLVGD1RFqOu5v8vyuxr2Hr2t027trBxaaZqiJuVU7VxDZKOHbd /SMbDzLtdVVmnbpRPXL4+9DTY/pLyU8H6d17XbxHB+nbbeNvesng/Td5/G3iOD9Npn8re9ZH B2mxO/jb3V9a+87Tp6/G3vWk8H6bFW/jLyzwjpsxP4y6e8/TYj8pdPefps9XjLvW03m5ygwe NOG7ej037lNNNfSqmZ26mu8K8gNB4H4fmdLzcirLmaZnxtf4G+70zirR8jUeG8HBp2nozTFy Y+Tb0PH+YfgucOcS5NGqY+dlxlxVFU01VbU9r2fg3hPE4e07Ex7Vy5VXYsU253nq6obKAAAA AAAAAAAAAAD4Z/5le/Un7mncm7t29oObVermuYzbkRM/Ju3gAAmNyI2jZqHNi9cs8H3a7NfQ q8dRG/72a4VmbmhY9VdXSmaI6/3MrHUAAAACbRvuu0fIRER2RAAAAAJVt2y8717Iv08yrdqL kxb6NP4L0SI699lAAAAANo+QiIjsiAAAABqXNm7dscFZNyzX0K4ro2n97YNCma9Fw6qp6UzY omZ/c7u3VsAAAAAAAAAAAAAAAPhqH5je/Un7paXyV38gZ2/6bc+9vYAANN5wdfBd79tR97Oc JR/wDG32j8COz7GWAAAAAAAAAACY3jZ5rxB/Ofa/VoelRAAAAAAAAAAA07nFv7xsr9ej72yc P/xHhbfMUfc7oAAAAAAAAAAAAAAA+GofmN79SfuaXyW/iDO/+2597ewAAabzf2ngu9+2o+9m +Edp0DG2j/sj7mXAAAAAAAAAAEq7Hm3EH859r9Sh6TTPXMKAAAAAAAAAA0/nD/IbK/Xo+9se gfxHhfsKPud0AAAAAAAAAAAAAAAfDUPzK9+pP3NK5K9XD+d/9tz72+D5UX7VV6q1Tcia6e2N +x9QAabzg/kXe2+eo+9nOEd/IONvG34EfcywAAA4010Vb9Gqmdu3aewi7bmmaouU7R2zv2J4 230op8ZRvVG8Rv1ykX7M1dGLtuZ+SKo3Kb1qZmPGUbx2xv1wljIs34mbV2ivbqnaXOmumapi K6ZmPRE9jjN61ERPjaNpnbfpelK8ixRM9O9bp27d6o6nO3ct3Kelbrprp+Wmd3IAAASrsebc Qfzn2v1KHpMelQAAAAAAAAAGn84f5DZX69H3ti4fnfQ8Kf8AQo+53gAAAAAAAAAAAAAAB8NQ /Mr36k/c0vkrG2gZ3/23Pvb2+OdkRi4d7JqjeLVE1zEenZ4Fwrzx0DM5sZGg04N73Xk3OhRH T7J+x+grdXSoiqY23jsUAabzf3ngu9+2o+9nOEp/4Djbzv8AgR9zLAAADRuCc7xlzXrd3Kiq qm9XFNMz1xDpcN37uboeqYsZW92qmqKevrjraBe4p1OnUqNWoyZ9x6R/A78fLXPVDsZ2drWm 5+n6vZvV3LfjYuX7Uds0Prwvr2qXNW1fUMu9VTTk3/4LZntpoluXBU+TeM8nT7uTtFVmLkUV T6ZdrQc6Z4u1Szcyo26cxRTM/U894h1bWYz69DxcmqL2m3pzr0/Lb37GRw41HiTDr16jKqrx rn4U49M/hXI+p6Hy41PT83SZtYNm5Z8XV0a6K6t53jtbUAAAE7bdbzXiCP8Aqhan/JQ9JiOu Z+VQAAAAAAAAAGn84Y/5GyZ/z0fe2PQP4jwv2FH3O6AAAAAAAAAAAAAAAxnEeuadoGnVZ2p3 4s2Ke2qWh5POzl9VjXKZ1SuYqpmN4paryt5vcDadouZavajcpmrLrqjentiZem8G8f8ADPFV 6u1o2dN+u38aJjsbFqeTj42HXcyqZqtbbVREb7w/NfCnBOgYPPjUuM5xr0Y927FWNHip2pn0 v0vRlY848ZHjaYtzG+8zs5Y2RZyKOnZuU1x9U7vpVVFNM1T2RG8sNovE+j6tq2VpmDkxcycW Im7R/ZZrd8czJtYuLdyL9XRt26elVPyQ8Z5o82eB7/DuTgUalVXdovUxVFMb7bSyPD3Obl/j aNYteU7n4NMb70+l3/hv5f8A0pX7J8N/L/6Ur9k+G/l/9KV+yRzv5fx/7Sv2T4b+X/0pX7K/ DdwBtv5Ur9lPhv5f/SlfsrPO7gCP/aV+ynw38v8A6Ur9k+G/l/8ASlfsnw3cv99/KlfstVuc dcs41S7n2dfybE3apmuimnqncxuOuWmLqnu2xxBk24n41uKeqXY9/fKP3Bl4fun8Vl3ovXY8 X8aqPS7s8zuVlVVM1Zc1U00xT0Zo6todHL495U39QtZdOoV2vF9lFNHU46zzA5aahqtGpU65 kY1+mmKZmintiHXyeOOWdeZRlUcQZVq9T8aqmnrq+1kLXMTlTTmZOZVm1V38mx4i7XNHXVS+ dfMPljb0q3p+Dq97Dt2o2pm3Rs73D3NTlno2LNnG1Kuaqp3qrmjrqlk/hv5f/Slfsnw3cv8A 6Ur9knndwBE/xpX7J8N3L/6Ur9knndwBE7eVK/ZI53cAT/7Sv2T4b+X/ANKV+yvw3cAbb+VK /ZT4b+X/ANKV+ys87uAI/wDaV+ynw38v/pSv2Unnby/nq8qV+y0zWOa3At3j+jN8p1dCKKfQ 3Sed3AEVT/xSv2T4b+X/ANKV+yRzu4Amf40r9k+G7l/9KV+ys87uANt/Klfsp8N/L/6Ur9k+ G/l/9KV+yRzv5fx/7Sv2SOd3AEz/ABpX7J8N3AH0pX7JHO7gCZ28qV+yTzu5f7/xpX7J8N/L /wClK/ZPhv5f/Slfsnw38v8A6Ur9k+G/l/8ASlfsrHO7gCf/AGlfsp8N/L/6Ur9lY53cAT/7 Sv2U+G/l/wDSlfsr8N3AG2/lSv2U+G/l/wDSlfsrPO7gCP8A2lfspHO7gCZ28qV+yfDdwB9K V+yfDfy/+lK/ZPhv5f8A0pX7J8N/L/6Ur9knndwBH/tK/ZPhv5f/AEpX7JHO7gDbfypX7JHO /l/9KV+y1rmZzi4E1DhLIxrGo3KrlVVMxEU/W2fg7m1wTqFnA0vF1KZyardFEUVRt17bPSt+ rc3jfbfrYbWOJtI0rVMTTc3Ji3k5c7Waf7TMUVdKnpeiexQAAAAAAAAAAAAAeJ+F9E18tLdv pVU013piroztO2zD8ouRvAWr8uNHz83Dybl+9Z6VdXjp653bXHg9ct4n+LsiI+SL2zzDkNou Hw54Q3Fui6ZF2jDx79NNuiurfaH6m2iuJiqmKo+SYcPc2Pt1Y9r2IeXa9pur3NRu41WbHk7x njLkU9W0emN2c5a2cWjUs+vTs6L+BNMRbo6W80z6W550/wADv/s6vufmvwfLtePz346uxTeu zFimYo339PoYLjXnjzE0Xmp5L07SMnKwZqn+DUW96563tuRxDqHEHJ7VdQz9LydMyJxat7d2 NqoeLeDTyq4S4v0rWs/XMXIv3vdW283ep615vXLj0afk/Z46TzeuXH0fk99J5vXLj6Pye+k8 3rlx9H5Pfyeb1y4j/wBfk9/J5vXLj6Pye/k83rlx9H5Pfyeb1y4+j8nv5PN65cfoGT38nm9c uPo/J7+TzeuXH0fk99J5vXLj6Pye/k83rlx9H5Pfyeb1y4+j8nv5PN65cfR+T38nm9cuPo/J 7+TzeuXH0fk9/J5vXLj6Pye+k83rlx9H5PfSeb1y4+j8nv5PN65cfR+T38nm9cuPo/J7+Tze uXH0fk9/J5vXLj6Pye/k83rlx+gZPfyeb1y4+j8rv5PN65cfR+T38nm9cuP0DJ76TzeuXH0f k9/J5vXLj6Pye/kjweuXH0fk9/J5vXLj9Aye/k83rlx9H5Pfyeb1y4+j8nv5eC8dcreFMHwh MXQcfHyacGui3M0+N+V73Pg98uZq69Pye+lPN65cfR+T38nm9cuPo/J7+TzeuXH0fk99JHg9 cuPo/J7+TzeuXH0fk9/J5vXLj9Aye+k83rlx9H5Pfyeb1y4+j8nv5PN65cfR+T38nm9cuP0D J7+SPB65cfR+T38nm9cuPo/K7+TzeuXH0fk9/JHg9cuPo/J76SPB65cfR+T38nm9cuPo/K7+ TzeuXH0fk9/J5vXLj6Pye/k83rlx9H5Pfyeb1y4+j8nvpPN65cfR+T38nm9cuPo/J7+TzeuX H6Bk9/J5vXLj6Pye+k83rlx9H5PfSeb1y4+j8rvzzeuXH0fk9/J5vXLj6Pye/k83rlx9H5Pf yeb1y4+j8rv5PN65cfR+T38nm9cuPTp2TP1TeeJc4OX/AA9wXza4bq0Gzk2Jry7MTvcmY23f onnBxZrnCvDvurQ9FytUv9DeKbFO8w8V5Cc3uYXE3MjIw+I9LyKceLc9Gx4vaqn7WR5/3q7v O7l7c2u2unfq3o322+1+ksT83t/qw+oAAAAAAAAAAAAANC538E3uOOD6tIx71Vq50pqpqjt3 eKaRyc5taXptnTsLjLUrOPZjaiim51RDtfBZzl33jjjVI/8A2Nm5Eco9e4S4r1HiDX9TvZ2X mVRVXcuTvMvbdTnKoxapw6Iru+iJnZ5vp3HesZnFeTw7bxrM5mLVEXaOn2bth4l4UytWxqrt nPu4t2u3tXao7Jl9uWvC8cN6P4iuNrtW/S+vrbRkW/GWLlETt0qZpeYcruWV7hTmPxBxPcy6 7tOp0U0xRV2U7S3z3s6FOrRqk6Zjzmx2Xpp/Cc+LNMnV+G8/TKaujORZm3Ex6H5m0vkbzJ0H IzaNB4qz8PHyLnT6NuvaHd+CvnL/AH41TvFnlZzl2/lxqneLTys5ybdfHGqd4nwWc5N9/fvq neE8rOcsz/LjVO8I5Wc5Yn+XGqd4fBXzl3/lxqneLPKznJt/LjVO8I5Wc5Ijb376p3ifBXzl /vxqneHwWc5dtvfxqneFPKznJ6eONU7wnlZzk/vxqneLPKznJP8AXfVO8T4K+cv9+NU7wnlZ zl/vxqneLTys5ybdfG+qdX+oRys5yx/XjVO8SeVnOXf+XGqd4U8rOckf141TvF+CznL1/wDO +qd4fBZzk/vvqneEcrOcv999U7w+CznJ/ffVO8Pgr5yTvPv41TvCOVnOTf8AlvqneJPKznLv /LjVO8KeVnOSJ/lxqneLPKznJ2RxxqneHwWc5NtvfvqneJ8FfOX+/Gqd4scrOcm38uNU3/aJ HKznJH9eNU7w+CznLv8Ay41TvGB1DwfeZGdxDRruRxTn159G212a+vqZ6eVnOWZ39/Gqd4vw Wc5P776p3hHKznL/AH31TvE+CvnJ2+/jVO8WOVnOTef+d9U7xPgr5y/341TvCnlZzk7J441T vCeVnOTf+XGqd4s8rOck/wBd9U7xPgr5y/341TvF+CznJt/LjVO8KeVnOSI/lvqneJHKznLG /wDzxqneLHKznJ/ffVO8T4K+cu/8uNU7xfgs5y9f/O+qd4k8rOcs/wBeNU7xY5V85I/rxqne EcrOcm38t9U7xPgr5y/341TvFp5Wc5Ntp441TvE+CznJvv799U7wnlZzln+vGqd4Ryr5yxP8 uNU7xZ5Wc5NurjjVO8I5Wc5NtvfvqneJHKznLtt7+NU7xfgs5ydf/O+qd4fBZzk/vvqneJ8F nOX+++qd4vwWc5ev/njVO8Pgr5yRvtxxqk//ALE+CznL/fjVO8fHSuRXHGbxtp+t8S8RZmdR iXaLkU3Kt+yX6kimOh0ZjeNtmNwdA0fC1GvUMXT7FnKrjaq7TT1zDz/mby1v8U8w+HOI6Mmu 3RpVya5pjsnd6hYo8XZpo+SNnMAAAAAAAAAAAAAdTM1HDxK6aMrKtWKq/ixXO265mdj4tNqb 1yKYu1RTRO/bMsZxBxJp+j3bdm/VNdVfyT2O1f1nCs27FU3d5vTEUxv19bs3M3Ht5dvGquR4 y58WN3W1fUbGPbv2LeXapzfFTNu3M9cz6Op+SuBuHOY1rwjsjiK9F33LevxOTHRnbo+h+xrU zNEVTG0z1yXblNu3NddUU0x2zPofDDz8TLt3K8bJt36aJ2qmid9nXwdXwsrIqsY92K7lPbET 2PvGfh+7vcU5Vr3RMbxa3/CfXKv28bHrvXqopoojeZl8vdmLGDGZXfpt2JjeK6p6nPDyLGVZ 8bj3ovW57KqZ3iX226vT6zb7fWnr9a7fb6zbt7fWbfb6zb7fWkR9vrXbq36/Wbfb6zb7fWbd Xp9Zt9vrNvrn1sVj67g39dvaPRc3yLVMVVRv6HDK4hwbFGRVFU3Jx6ujcimeyWLwuONNyqL8 xau03LdO80TPXLMcO6ziazizdxpmmaeqqiZ66ftZTb7fWbdvb602+31rt9c+siOv0+s269uv 1m32+s2+ufWbfb60269uv1rt1+n1pEfb6zbr9PrWI+ufW6tzPwreZTiV5dum/X8W3NXXLlXl 2aMqMaa/xk+jdxqzsKjNpw68u3GRX8W3NX4Uu1t9vrIjf5Y/ekR9vrXb7fWRH2+s2+31kR1+ n1m32+siN49MfvSI+31rt9vrNur0+s2+31pEb/L62Is8Q6fd1mrSqbn8Iidpjd9qtZwoy7+P FzpVWLfTrmJ7IdOxxTp1/TcjOsTNyix8aKZ7XZ4c1vD1nFm9jVTTMTtNEz1srt1b9frNvt9Z Eb/LH7026vT6126vT6026vT612+31m3V6fWbfb6yI3+WP3pEfb6126vT6026vT63Xzs3DwqI qy8qixE9k11bJlZuPjWLd65djoVzEU1b9U7uzbrprtxXT1xL4Rn4c5vuP3Tb90bb+K3/AAtn XzdWwcTKpsX7sUXJn8GJntdjLz8PEs0XcrJt2KK5iKZrnbfd97ddNymKqJiqmeyY9LkAAAAA AAAAAAAD4Z9F2vCvUWappuTTMUzHol+a/Cb4T5lanTpdPC+TkXsmKfwppq2263d5e8NcxtJ0 /R5421TKzKoyKdqLk79FtnN3Cu5GtWaq6rmNTEx0Zojfp/a6eoZvEWNqOmZNzR4rx+lRbjr9 H9pnOaOFrWqZen06NfuYmZXTO1dHbE7PCeGOB+dOFzepyuIM/LysLf8ABvV179W/VD9daThU 41HjKtqr9dMeMr266neaVzA03XcrS9SnAyrlHSt/iqKfTL808ruBOd9niXUMrI1TMxNKm7VP i4r6q4elTpPE2XjXsXQ8q/i6jFO1V2nqmZefcs+B+dOn86beXxJnZd3E6FfRu1V79XofpfUs XOs8G6hbzbtd67NqdpntfnHm7wZzmz9ExL3DGq5leBNMTOPFe0bbvVuTOgcYYvLvEsajmXrW ZFc9OmZbfGk8S/SF71r5I4kir+Mb0x9qeSOJYq/jG9MfaTpHEkT1ajen95VpPEkRvGo3p+rd adI4kmJ31G9H7yNI4kmn+Mb0T9pTpHEkxMTqN6P3pTpHEm+06je9Z5J4lidvKF6Y+XdZ0jiT qnyje+zdKtI4k36tRvetY0jiSd99RvR+93NF03W7OZTXl5ty5bjtpliL+HXj8dalm4uJHjps R0Kv7U/I17g7K1SjifPwdU0mIs5c1XK6569pjsd/RsbFxdNydZ1DF8XVdrqtRtG800xPVLuc rLFybes3Mea4t3bkTarmNpmGRuaTxJNdXR1C9Eb9XWRpPEkR/GN6f3kaRxJMTvqN6P3kaTxJ Efxjen96RpPEsT/GF71r5J4kmJ/4jeiftI0niSY2nUb0fvTyVxNtt5QvfbuvkniSI2jUb0/v I0jiSYnfUb0T9p5J4kiOrUb0/vSnSeJY/wDYXvWvkniSYmfKN6J+0p0jiTpUzOo3tt+vrfnv nlwZzd1TmPp1fCmXlUUU79K9RXtt1twxOG+YdrE9xZOsZVWq+Kj8dM9cS8+4O4F52YXOzBzN ez8y/gxVVNN2qvfqfparSuJPRqF6f3uNOk8Sx/7C9P71nSeJNt/KN7f5NzyTxJMT/wARvR+9 PJPEs9XlC9EfLus6TxJHVGo3p+vc8kcSTH8Y3on7SdJ4kjqjUb0/XulOlcSx/wCwvT+9Z0ji Tt8o3vs3J0jiSYmfKN6J+1I0niWeqdRvR+9fJXEkdUahen97uaLp2uWs7p5ebcrtfJLD52B4 vjy3l42HEXJpq3qj/unZgOCr+sWuLNTwNU0yOjcpq/GTPbTM9jNaBRh6Rja3Xk4nRw4nqpiN 3DlXZueIzqsemqaLlVU27sxtMb9kMpOk8SVVzPlG9TEz8pOk8S9kahe9Z5I4knb/AIlej95O k8S7bRqF71kaVxLEfxhe9ZOkcSRO8ajen95OkcSdvlG99m6U6TxLNXXqF6I+1Z0riX6Qves8 kcR7/wAZXvWk6TxL9IXvWsaVxLtt5Qu+snR+JOvbUr3Z8rynwlOGeP8AUeGLNnh7Jv3suYjq irbad2M5bcK8z9G0PT6uNNVy8mPG07Wq6t+jD9AZmNm5Ol2acK/XZnodcw/LfM3gjnPn84Le RwznZdrFi3HTvU17dW/W33yTxNhWrGNrWXfytQmNou1dcxLzbmtwLzvyNb0/Kw9TzMrSovUT 4vp9VMbv0vwHpmv4unYXlDKuVTTTHTpmfqbqAAAAAAAAAAAAA41UU1VRM0xMx6ZhxvWLV3o+ MpirozvG/olL2Nj3pib1m3cmOzpUxOy12LNUUxVatzFPZvT2JXj2qrlNyaI6VPZO3Y51UUVT vVTEz8sw5RGwTETG0xvD4ZE02MW7d6MRFFM1bR6doahwZxNb1rUb1Nm3ZtU0ztt0dqu1uk0R 04q6MbxHb6S5bpuW5t1xFVNXVMSlFqii3FummIpiNoj0OVFMU07REUx9Sx1EwBEBsAEBt1uP i7fT6fQp6U+nbrcYsWunNfirfS+Xo9ZVj2Krfi6rNuaP7M0xstmzZs09Gzaotx8lMbOcwbAb dZsTAbdYTBsRGw4zRT0ul0Y3+XbrcarFubsXJpjpx6fS5zRTNUVTTEzHZO3YsRsRBEbGwbBs RGxEbG3WEDj4ujp9PoU9L5dutx8Ta8ZNzxVHSntq26yrHsVU1U1Wbc01fGiaY2ks2LNmno2b VFuPkpjZ9CI2DbrNurYNusIjYNiOomHGqimrtpir7YS7Zt3aYpuUU1RHXETDlTEUxtEbQnRp ivpRTETPp262rcR8TaRpur2cHIxfHZNyramdt5bLYmm9jUVdDqqiJimqOx9oiIjaAAAAAAAA AAAAAAAABwyKelj3Kej0t6Zjo/K830nSNRnim3VjaTGm2bNzpXK6Z38bH1vS4AAAAAAAAAAA AAAAAAAAAAAAANnnPM3EojIov2sb+GzP4m7HbEt04Zpyo0fH92TM3ehG8yyQAAAAAAAAAAAA AAAAJ0Y339KgAAAAAAAAAAAAAAAAAAAAAAAD53bFq7MTctUV7dk1Rvs+kRERtEbQAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAb+gidz6gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA3SJiZ2hQ AAAAAAHG5VNNFVXyRu0bK4w1HE1Kq1kY1Pibs9CxER+FNX1mh8Va1f4staTn41qm1dpmqmqm OuIj5X11bi7MscZeQ7Fq3FFMRNVdzqjr+tulmZqtU1TMTMx2x2OQAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAA+WXcrtY125RHSmmmZiPlaLY4y1Wcq9iXcWjx1U/weIj/AP2ffhTivVM7VsnC 1DHt0xZtzX0rcdXV6F4b4tzdW4gvYXi7Nuxbq2jpdVU/Y3cAAAAAAHC7v4uvoxvMUzMfa8+0 bG1fI40vZeraXcrxo28RM9UUz8ru42Jm6XmajrWRiVZV3x21iiOqYpljuKsHM1bOsXrWj3Yu 3Jje9E/Eb5o2PdxdMx8e9X066KNqqvldwAAAHGu5TTG9UxEfLuk3aI23qjaeyd0u37VvaK7k U79jlXcooo6ddURT8spauUXaelbqiqPqcwAAADc3AAAAAJmI7ZJ6nz8fa8Z4vxlPS+TdyouU V1VU01RM09sOQAAAAETubxvtuAAAADjXcop26VURv9aTdoidpqiJnsjdPH2ouRbmuIr+Tdbt 23aje5XFMfW5U1RVTvTO8KAAAOvqNV6jAv1Y9PSvRRM0R8stC4JxNY9352bq2nVxkXJ/F11R 2O3pONmcPaVfvXcKrLycrJmnq7aaZl0LWkZuRxbi3rOmXMSmzVvcvb9Vb0ijeKdp7YUAAAAA AeX86OZtfB/CeXqGBi3LmXYuRTEVUT0Z/e885ceEdVxbpV/FzdJysbPmnamu3Znxcfvexatq eTZ5e2NQirpXehTVVMz2vE+aPhM3eGpp0/SdGybmTTERVXdsTFH7percAcyres8HabqmbiZF N/IsxXXFNudt/qZuOOMHfb3Ll7/spI44wZ6X8Fy+r/SlPfxgz8XFyu6laeOMCZ29zZfV2/ip PfvhfouV3Ukcb4W/Xi5XdSRxvg7zvjZW37KSOOMGZ29zZfV2/ipPfxgzP4OLl7fspJ44wInb 3Nl/V+Kkq44wojqxcrupfTK1inXOGs+MTx+NX4qdq5p6Mx9jA6JiXdQ4Rv2crVL1u5Z7LnT6 52aHka7qs4MUe7b34q5MbxV17Qzdd3WPF6frN7M3waKYi7E1/hTM/U2/jmc3VOG8O5o2RFE9 KJqmqrbeNn34H1i3Gi5FF2qu5ew9qb23X1/U+nv5wYmYnFyuqdvyUnv3w/0XK7qVjjjB329y 5e/7KSeN8LfqxcrupPfvhfouV3Ur798Hpfm2Vt+ylPfxg77e5svf9lJHHGBMzEY2X1f6Up79 8P8ARcrupWOOMGZ29zZW/p/FSRxxgTM7Y2XtH+lKUccYVXX7lytv2UvnlceYNGPfroxcvpUW 6qo3tT2xDwbgzwo8zJ4pv6Pq+i3ptRemi3XYszVPb6W38R88rfDOnZ+bdwM7IuVz0rFNNmao pj6/kcOQfPPN44oysjWNPqsRRv0KbVE9kPUaeOcGZjfFy+v/AEpX374f6Lld1JHG+Fv14uV3 Unv3wdvzbK3/AGUp7+MGOqcXK39H4qV9/GB0uj7my+z5qUp44wZ3j3Llbx/pSe/fD/RcrupW OOMGZ29y5e8dv4qSeN8Lf81yu6lJ44wYiP4Llb/spWeN8L0YuV3Up7+MKOucXK2/ZStPG+FV VERi5XXO0fipdLmPVfu06NkYuXex4qyad6aZ26UfJLH8S8VWLPFWn4leVctWaKZpv7TtvLp6 lpnT4ttYuDq+XVVMU3a96uqKJdjF8bpnMTExbGo3cmzkTM1xNe8dTaM/i/DxM2vGrx8mqqn0 025mHX9/GDPVGLlbx2/ipcvfxp++3ubL3/ZS408c4HX0sXL6v9KSeOcGKd/cuX3UrHG+FtO+ LlfV+KlKeOcGaZ/guVvH+lKxxxgTEzGNl/V+KlI44wZ7MXL+v8VLl798Hef4NlfV+Klxp44w Zif4Llbx/pSs8b4W/Vi5XdSnv3w/0XK7uVq44wo64xcrb9lLzvnrzoyeDNAtajo+BXeuTG9V N2iYjtYnhLn3RxZoONd8n5uLmU1RVd/EzTRMfVLX+Y/hQZOi59GmaPouRVciqKbld+zMR2+i XtuhcwcXM0TCyr2JkxevWKa64i3O28w7nv3w/wBFyu6lffvhfouV3UkccYM1zHuXL2j/AEpP fvhfouV3Up798P8ARcrupPfxgx8bFytv2Ur7+MCI68bL3n/SlJ44wYmIjFyu6lZ44wop39y5 W/7KT384G0T7my9v2Unv4wejv7myu6lPfzhdsYuVt+yl1+N8i7qXDVnLwsi/izTc6U7fgzP1 MTxPavV8FYurRqV63kWaPiRX8dplzXdSuajiXPdt7ozNMTtV1Nm06/qOm8UU5WqZfTxcmYm1 FNe8x+5keYlGq3dTsZmFlRRhUW4rrjp7TMR9TYtP4ixLXC+PqMU3rtuunq2p3l1443w9on3L ldf+nJ7+cGOqcXK39H4qVnjfC9GLld1Ke/jB7Ixcrf8AZSVcc4FMRHuXL3/ZSs8cYET+bZf1 fipJ44wY65xsvb9lJHG+F174uV9X4qUq44wYjf3Lld1KzxvhejFyu6lPfzgz2YuVvHb+KlrH NDmlOgcHX9V0zDvV5NuJmKbluYjqec8t/COvcWaFXj6hpWVjahMxEV2rM+L7fle2Z+o36ODb edM9KvoxVPy9jw7mZ4S1/hfTqcXS9Iyr+ZTPRqrvWZijt+V7Bys49jifh7DycnHu28q/bprq joT0Y3j5W/x2AAADjdri3bqrnspjd0dB1bE1fGuX8SuKqKLk0VbfLDIAAMTxRw5pPEmlV6Zq 2LTexq5iaqezrY7TeB+H9J0K9pOlafZx7VdO280xM+s4ixMHB4Pt4eZcppsWZpp6U9na+Gq8 GcLcVaRZo1LTbORaiI6M00xE+tn9G0jA0nS7Gm4OPRbxrFPRt07b7Q7nibPzVv2YTxNrr/FW /Zg8Ta+at+zC+Js/NUezB4m181R7MJFm16bVv2YPE2vmrfsweJtfNW/Zg8Ta+at+zBFm16bV v2YPE2vmrfsw4ZGLavY1yxNFMU1xtO0bMHm8KYl3Ta8SzM25qnffdjLnL7TZsUU24im5v+Mq n/uh2cvgjAvW7FmiZps26dpp37Zc7PClfuS5i38np2ej+KiOroyyfDOg4ui4lVq1EVV3Ou5V /allPE2fmrfswnibW35K3v8AqwvibPzVv2YPE2fmqPZhIs2/Tat+zB4m181b9mF8TZ+at+zC eJtdf4q37MHibXzVv2YXxNn5q37MJFm181b9mF8Ta+at+zDjcxrFy1Xbrs25prpmmr8GOuJa toHLzhHh7Kv5unaVat3rkzVXVVEVdcuOg6foOpzq2L4jHyKKrm12noxOzt8IcC8N8LVXatFw KbHjZmavT2ti8TZ+at+zCeJtfNW/Zg8Ta+at+zB4m1v+St+zB4m181b9mF8TZ+at+zCRZtb/ AJK37MHibW/5K37ML4mz81b9mEmza9Fq37ML4m181b9mDxNr5q37MJ4m181b9mF8TZ+ao9mH S1fScXUqbEZFO/ia+nR9UsTq/A/D+rX4v5uLVVdpneKoq2d6xw7gWsy5lRRPjK7MWd9/+1j9 I4Pw8LWPKFVU1125/FdfxWyzatzVvNuifrmlPE2vRat+zC+Js/NW/ZhPE2vmrfswRZtem1b9 mDxNr5q37ML4mz81b9mE8Ta+at+zB4m16LVv2YXxNn5qj2YSLNr5q37MHibXzVv2YXxNn5qj 2YPE2vmrfswwPGHBmgcV4lOLrWFRftU/9sdTG65o/DuiaLg4dGPj4uPReppt/gxEzPybvtr3 AfCnE+LYnU9Ms34piJpqppiGyYWDi4mJaxbNmim1aoiiiOjHVEdj7eJs/NUezCRZt79dq37M HibXzVv2YXxNr5q37MJ4m181b9mCLNr02rfswvibXzVv2YPE2vmrfswnibXzVv2YXxNn5q37 MJFm16bVv2YPE2vmrfsw6+p6dj52N4i9THQ+SGE1jhDFzbWPZprmii1G3R36pdL4PtLjIt1W qOjapmJmmZ65l9svgjEvZk34rmOj+TiZ+KuXwjXm6fFjLyundiv40dUdD5Gw6VpuNp2nW8Gx bjxVuNoiet2Is2vmrfswRZtem1b9mDxNrf8AJW/ZhfE2vmrfswnibPptW/ZhfE2vmrfsweJt em1b9mE8Ta+at+zBNm181b9mF8Ta+at+zCRZtfNW/Zhj+IeH9K13Ta9P1LFou49cbVUxG27A VcK8L8LcI3sTCwbGLiUxG9VVMTMdfysljYGLqfDtqxYribW0TE+h1tb4D4c13Rbel6zp1nIt 0x2xTET62a0LR8HRtPtYOBYpt2LVMU0Rt2RDIAAAD4ah+ZXv1J+5pXJWIp4fzto/82597fAA AaZzgiJ4KvRMf01H3s7wjTFOgY0R/Yj7mWAAAAAAAAAAfHM/Nbv6rQ+U0RGp8Q9W38Jh6FHY AAAAABsAAAAA0PnHTE6TpsVRE/wylt+iR/wux+rDugAAAAAAAAANW5qbVcD58THV1fe7PL+P +WcaNv8Asj7mwAAAAPhqH5je/Un7ml8lf4gzt/02597ewAAabzg6+C723z1H3s3wj16BjbdX 4Efcy4AAAAAAAAAD5Zf5td/VaHyn/jPiHed/4TD0GOwAAAAAAAAAABofOLeNJ03q/wDMpbfo u3kyx+rDugAAAAAAAAANW5o/yIz/AN33uzy/297WNt/Yj7mwAAAAPhqH5je/Un7ml8lv5P53 /wBtz729gAA03nBv7y7vo/HUfeznCETGgY0T/Yj7mWAAAAAAAAAAfLM/Nbv6stC5TfxnxDO3 /kw9CjsAAAAAAAAAAAaHzj38lab/APZS3DRf4rsfqw7gAAAAAAAAADV+aX8iM7b6vvdjl9t7 2sbb+xH3NgAAAAfDUPzK9+pP3NL5LfxBnf8A23Pvb2Mfjapbv6nfwaLdXSs/Gq9DIAA03nBv 7y737aj72c4TifION0p/7I+5lgAAAAAAAAAHyzPzW5+rLQ+U+3lPiHb9JegwAAADH67q2PpG JGRkRM0zVFPV9b56rrWPp9OJVdpmYyqopo2+t89Q4hw8LULWHf3pqu25uRVM9W0MJPMXRve9 VrNG9dmm7VbmmJ6429L75HHmi2eEo4iruR7nmaY6PS6+udn11fi7GwYx5ptV3Iu26bn4Popn 0sjka7i2dAjWJiZsTET63DUuIMTCw8XKvUz4vImmKZ37N2NnjvRt9TiLm86dt4zr7d00DjWx rV6mMLAyK7M9t2Piw2yOwAAAGh84urSdN/8Aspbhon8V2P1YdwAAAAAAAAABq/NGf+Sc/wDd 97scv424axv1I+5sAAAADr5874V7b+xP3NL5Kz/wDO3j/wA2597fI63W1Ou9Rp+RVj09K9Tb mbcfLPofkrgrmfx7k+EDe4XuadNNuq/0cmelP4Meh+vLW/i4ir40R1uQb9ewNN5v7+8u9+2o +9nOEtvIGNvO/wCBH3MtPUegjrIncid0iYld+rdN423XdImJnY3jfZYlN423Xfq3TeFmdgjs Incid0iYld423TeNt13JnZN4JmIXfrIndN432WJ3fHLmJxbv6stE5T7xqfEPVt/CXoETvG5v G26zO0bm8G5HWkTC79W6bwszEG5u1Dmrbu18NTcsWpuzRdpmafq3a9xRrPlPS9KycSxXV7kr iq7E0z1bQ6XH9zO4j0jG1DQ8aqvJtdG3VExttEz1sXg8FZ+PrmfpU4u+ke4ou0/JN2Y64dPL 5fa1Xovi6qKqtPmYr8Rv1RtLbdPxL+o4eZl148x4nC8TbomPTTD4WdVqzuXU6PTj1xl2oiKq OjO3VLnrOZc4h4Mo0/CxqozcWmJinaY64hrOBwfrNvN0S5cxOlTqG86nEz8nZuz9qnLwNbtY nDc3KKKbsRdx4jano79cvWaN+jG/bMQszELv1pvC79W6bxtuoR1kTum8b7LPVDQ+cU/8I07f 9MpbfofVpVj9WHd3TeN9liU3jZd423N4SZiF3603jfZd+rcjsSJiV36t03jZd+smdjeEmYhd yJ3TeN9liUiYlSOsidzfr2N+vY3IndImJavzR2ngjP8A3fe7PL7f3tY+/wDYj7mwAAAA07mx xvjcC8M1a1k2bl6mJmIpo7Zl4va8JPVczToyMXgXXL1q9TPi7lNiZiWJ4J54cQaFp2Ri3eAt drru36rsTTYnaImXpXJbnZZ4+17N0e5pWVgZWLVFNdF+naYl61qdeTRi1VYkR4yPlh5Po/BO pYXH+ZxZRYtRk5lUTXPQ7Nm+5fGGnYWDNy9M3L1NXQqt0z1zV9TtcL8S4uu1XbdqzcsXbUb1 27nxoZm9ci3arrmN+hTNTz7l7zNw+LOOda4ZsY121d0uiKq6qo6qt59Dd6dV06rN9x05tmcj 5rpfhepw4h1KjSNDzNSuUzNGNbmuYj07PzFxZ4QOZxPpmbpmj8I6tlxYvxE3bdrenqlkdK8I XXMPTrWNVy/16aqIiJmLE7OzPhHa3PZy+1/uJWrwjdbjq+D/AF+Z/YSnnHa3MbRy+1/f9hK0 eEbrc778v9f7iUp8I7WvTy/1/uJWfCO1r/D7X+4k847Wf8Ptf7iTzjta3/m+1/b9hJ5x2tf4 fa/3EpHhHa16eX+v9xKz4R2tbfzfa/3EkeEdrW3832v9xJPhHa1/h9r/AHEnnHaz/h9r/cSn nG63M9XL/X9v2ElXhG63E7fB/r/cST4R2tzHVy+1/uJWPCN1uaZn4P8AXt/2EpHhHa1t18v9 f3/YSseEdrW3Xy+1/uJJ8I7Wv8Ptf7iTzjtZ/wAPtf7iTzjta3/m/wBf2/YSecdrW/8AN/r/ AHElPhG63tM/B/r/ANniJI8I7Wt5/wCn2v8AcSecdrP+H2v9xJHhHa1t18vtf7iU847W/wDD /X+4lZ8I3W4jr5f6/P1+Ikp8I3Wpnb4P9f7iXC/4R2sxYuzVwBr8UxT1z4idoany78IfMtZm s14nCGr5td2/vVTatb+Ln5JbfHhHa1/h9r/cST4R2tb/AM32v9xJ5x2s/wCH2v8AcSR4R2tb zvy/1/uJXzjdamOrl/r8f/olxp8I7W/Ty/1/uJWfCO1r0cvtf7iSPCO1r/D7X+4k847Wt/5v tf7iTzjtZ/w+1/uJI8I7WvTy+1/uJJ8I7Wtv5vtf7iXGrwitYuR0K+Xuu1R6Yqx5mHzp8ITU 4pmmnlvrUU+mIxXKnwhtVt07UcutbpifRTjbOXnGaxvM/B7r28xt+byseEXrUx0Pg+16I+Sc ednGjwitWopmmnl3rsRPbEY/a4U+ELqdO8xy21qJn0xira8IXVKZmaOXOtUT6ZjG23c48IzW Or/p7r3V/wD48uNvwh9UpuTXTy41uKv7UY3W+keEdrW878v9f7iTzjtZ/wAPtf7iSPCO1rbr 5fa/3Ek+EdrW3832v9xJ5x2s/wCH2v8AcSk+Ebrc9nL7X+4lavCN1uOr4P8AX5n9hKecdrcx tHL7X9/2ErR4Rutzvvy/1/uJSnwjta9PL/X+4lavCN1vbeOX+v8A2eIk843W4p/m/wBfmZ/0 JapzL8IfNvabgxncHavgxRkxVTVetbRVPyR9bZNN8I/Vp06zVb4B16umaequmxO0/Y+8eEdr Xp5fa/3Ek+EdrW3832v9xJHhHa1/h9r/AHEk+EdrW/8AN9r/AHEnnHaz/h9r/cSR4R2tbz/0 +1/uJPOO1rb+b7X+4kjwjta26+X2v9xJPhHa1t1cvtf7iTzjta2/m+1/uJI8I3W5nb4P9f7i SfCO1r/D7X+4k847Wf8AD7X+4k847Wt/5v8AX9v2EnnHa1v/ADf6/wBxJHhHa1P/AOPtf7iS PCO1red+X+v9xJ5x2s/4fa/3EkeEdrW3Xy+1/uJTzjtb/wAP9f7iVnwjdbiNvg/1/wC3xEke EdrW3832v9xJPhHa1/h/r/cSecdrUx1cvtf7iTzjdbineeX+v9xKU+EdrW3Xy/1/uJI8I3XO ltPL/X+4knwjtbir+b/X5j9hK+cdrW3832v9xJHhHa1t18vtf7iSfCO1r0cvtf7iWM4q59a5 rHD+Tp9vgHXqa7m3RmbErw94Rt/RatL0fWeEtVwZyLtFim5dtdGneep+n8S9F/Gt3oiYiumK tp+t8NR1TT9Pmj3dm2cfpzEU+Mq23li+PeJLPDHBufxDcoqu2sW34zantmHT5XcZY/GvDVOs Y9mu1RVMR0au1tgAB6Hifhf1RRy0t11b9Cm9M1dXo2cOTPMTgXF5XaJj5eoWablFjaYqo64n dt1PM7l1FW0anj7/ALOHjXI/UNO1Twj+MM7Sq/GYl3Ipm3VEbQ/UkTEdKZmI606dE/8AfR63 mHEOHw5i67dyr+fVTetxN2LPR/BmY6+1mOWGpYes38zVrFiLd27ERXMR2xDcs780v/sqvufm zwe6a7/Pjjq1au1W6vEUx09uzravxzy65w6hzanK0DPy8bCiqd8mir0b/I91u6XrulcmdVxO INRu5+ZGLV0rtfbLyjwV+NeEtE0PXMfVs23auzlRvFdD2OOZ3LqZ28pY/sQvwncuoj+Msfb9 SD4TeXX0lj+wU8zuXW87alj9X+SCOZ3LqezUsf2ISOZ3LqZmPKWP1f5Fq5ncuvTqVju4PhN5 dfSWP7CRzO5dTEz5Sx+r/JCxzP5ddGZjUsfb9SE+E7l1tv5Sx/YJ5ncuo/8AZY/sQvwm8u/p LH9gnmdy6369Sx+v/JB8JvLr6Sx/YhPhP5dbfxlj7fs4X4TeXX0lj+wRzP5dbTMalj7fqQnw ncutt/KWPt+ovwm8uvpLH9hPhO5dRO3lLH9hfhO5dTO3lLH3/UhI5ncupmY8pY/V/kI5ncup 7NSx/YX4TeXX0lj+wU8zuXXXMalj+xCfCdy66O/lLH2/Ug+E7l1tv5Sx/YX4TeXX0lj+wk8z uXURvOpY/sLPM/l1ERE6lj+xCfCdy6328pY/sOprnMrl9XoebRb1KxvVamOqiHingqcZcIaR rXGtzUs23RTkZ0VWJro7afqe7xzO5ddLbylj7/qQfCdy6mZ/4lj+xCRzO5dTG/lLH9hY5m8u pjeNSx/YPhN5d7fxlj7fqQRzN5dTG8alj+xCfCdy6328pY/sQsczuXW/VqWPvH+SCOZ3Lqd5 8pY/sJ8J3Lrbfylj7fqQsczeXUxv5Sx/YJ5ncu9v4yx9v1COZvLqY38pY/sHwn8uo3jylj+x BHM3l1Mb+Usf2COZ3LrfaNSx9/1II5ncupmf+JY/sQkczuXUx1alj+ws8zuXUR16lj7fqQRz N5dfSWP7CRzO5dTMx5Sx+r/ItPM/l1tMxqWP7EJ8J3Lro7+Usfb9Qnmdy6iN/KWP7EL8JvLr 6Sx/YKuZ3LqI69Sx/Yg+E3l19JY/sQnwn8utp/4lj7fs4X4TeXX0lj+xBTzO5dde2pWOr/JB HM7l1MbxqWP7EJHM7l1O+2pY/V/kWeZ3Lr06lj+wTzN5dRG86lj+xDxXwueNuD9Z4T0K1peZ bvV29Sorrimjspen8D8yeAMbhDTrGRqVmKqLURMTRDNTzO5dRG/lLH9gnmdy6328pY/sL8Jv Lv6Sx/YJ5ncut+vUrG8/5D4TeXX0lj+wnwncutt/KWPt+pC/Cfy6in+Msfb9nCTzO5dRt/xL H9g+E7l1vt5Sx/YhfhN5dfSWP7CfCdy6328pY+/6kL8J3LqZ28pY+/6kJHM7l1O//Esfq/yQ RzO5dT2alj+wvwm8uvpLH9gjmdy62mY1LH9iE+E7l1tv5Sx9v1IJ5ncuojfylj+wvwm8uvpL H9hJ5ncuo7dSx/YWeZ3Lrqjylj+xCfCdy6328pY+/wCpBHM7l1vt5Sx+r/IsczeXcdflLH9g jmby6mN41LH9hPhO5db7eUsf2F+E7l1M7eUsff8AUhPhO5db7eUsf2Fnmdy7iP4yx9v1II5m 8upjeNSx/YT4TuXW+3lLH3/Ugjmdy6mdo1LH6v8AJDxLwpuLOFdfucMWdFzKL+TTqtmZpoo9 G79N0Wb2Tw5Raxr02btVmIprjtidn5O5s8qucuVxXjZmPrubquDGXTX0aqtoop3excztP1LT eQGvU6nmXMi57kj8GqPi9i+CfO/LC3Mb/Gp+57FHYAAMFxrwrpfFmjVaVq1FVePVvvEPMqPB r5f00Rbt16hTTT2Uxd2iF82zgKJ38ZqPfNq5c8puFeBc2/l6LbveOvTE11XKt5lump4lGXi1 Wa7lVumeuqqJ22h4Hw9xdpmfzo1LgfyjfmjFuRTamLvx93t+pcOaZqOH7mybETtT0enEfhTH 2vpw3oWBoOn04eDR0bceme2WSrppuW6qJ64qjaWtcM8D6Hw/xDn65p9qqnLzqYpvVT6Yhs3R pjs6pn5HX1LBs5+n38LIiarV6no1x9TyLJ8HDl/ey72REZtqq9V0q4oubRMuHm28A9Hbxmo9 8nm2cA/O6l3x5tvAPzupd85T4NvAXZ4zUe+cfNt4B+d1Lvl823gLb8pqPV/rFXg3cAz1zc1L vjzbOAtt/G6l3yebZwDt+V1LvjzbOAfndS75fNt4B6PR8ZqPfJ5tnAO+3jdS75Z8G7gKZ28b qXfJPg2cAx23dS75fNs4C2/K6l3yebZwD85qXfHm28A/O6l3y+bbwD0dvGajt+2PNt4BmNvG aj1f6yebbwDt+V1LviPBs4Bn+l1Lvlp8G7gGJna5qPfJHg2cA/O6l3y+bdwDv+U1HvirwbuA Znru6l3yebZwDEfldS75fNt4B6MR4zUe+I8G3gGP6TUe+KfBu4C2na7qXfJ5tnAM9XjdS748 2zgHfbxupd8vm3cAxEx4zUe+PNs4B267mozHyeOcKPBo5eUbzajOt79vRu7buUeDZwD2+N1L viPBt4B+d1Lvl823gGf6TUe+TzbOAd9vG6l3y+bdwFtt43Uu+SPBs4B9F3Uu+PNs4B3/ACup d8ebZwD87qXfLT4NvAMb/jNR75PNt4B7PG6l3zlHg28BdHo+M1Hvk827gGadvG6l1f6yR4Nn AM9l3Uu+PNs4B6/xupd8ebZwD87qXfL5tvAPR/Kaj3yebbwDH9LqXfL5tvAUU7eM1LvknwbO AfndS75Y8GzgLb8rqXfJHg28A9vjdS7482zgH53Uu+WPBt4BiNvGaj1/6yebbwD2eN1Lvlnw beAttvG6l1f6xPg3cAzH5TUu+PNs4C238bqXfJ5tnAO35TUu+PNt4B328bqXfLPg28BdnjNR 75I8G3gHsi7qXfLPg28AzH5TUer/AFknwbOAfndS75fNs4CmPyupd841+DRy9uRtd933Ijsi q7vsvm2cAbbRXqMR6Ii8s+DbwDt0fGaj3x5tnAXzupd8ebdwFM/lNS6v9Yq8G3gGZ3m5qXfH m2cBbfldS75I8G3gHs8bqXfHm2cAx/Sal3yz4NvAUzv4zUu+PNu4BiNvGaj3x5t3AXR28bqW 37ZI8GzgGf6XUu+WnwbuAY32ual3xHg2cA/O6l3xPg28Az1+M1HvjzbOAvndS75PNs4Bjq8b qXfHm2cA/O6l3y+bbwD0dvGalt+2KfBu4CiJ2u6l3yR4NnAM/wBLqXfLHg28AxV+U1Lf9sT4 NvAMzM+M1LvifBu4B228ZqPfE+DbwFPV4zUu+TzbOAYj8rqXfLHg28BRT+U1Hvk823gH53Uu +WfBt4Cnb8ZqPfHm2cBbfldS75I8GzgGey7qXfL5tnAO/wCV1Lvk82zgH53Uu+djTfB24Bws +xm005l25YuRXR4y5vETD1+xbps2abVHxaY2hZp/f9rocS6Nha9omTpGfTNWNkU9G5EfI63C HDWm8MaVGm6XRNFiNp2lmgASuqmiia6p2iOuZaXx5zM4X4Lu40a7n0WLeRG9NUvtY5g6DnYu HkaRlUZtGVciiJiezd1eOeNa9Az7OPRj9PpztM7sllcUxRVh2bNqmu9f6M1U7/FifS++tcT4 uk6lYxcvai3d7a5nsapk82+CdT1y7wnhazbrz71E0fg/9sz1PM+EPB9ytN5x3OLZ1+5VVaux cpno/H3fpaiJiiIqnpTEdc/K6Or6th6bh5GTk3aaabFPSr39DS+F+cHA/EF/JxdP1e1Vk2Kp pqt9nXDIYPH2Bdv3Yyopx7NH9JM9rpaVze4I1Ti6jhvT9XtX82aZmYj0bNw1LVLWLpV/Pt7X abVPSmIlqXEHNng3h/SLOdrWqWsWblMTFE9fWzvCfFukcRaJb1fByaKsa5O1M/KynlPC+fp9 axqeF8/T60jU8L9IpPKeFt+XpI1LC2/L0k6lhfpFJ5Twvn6TynhfP0+tfKeFtv4+n1pGp4X6 RT618p4Xz9KRqeFP9PT6zylhTO3j6WF434kydBw7OTjYXum3crppmrfbbeXPUuJYx9QwcKza i5dv9Gbkb/EiXXyeKMy1xha0Pyf+Bdomqm7v27OrpXFefVxLc0rPwfEVR8XefR8rbL2fi2q5 ouXaaao9DhGp4Xz9PrPKeF8/SRqeFP8AT0+s8p4Xz9J5Twvn6fWvlLC+fp9aeU8L5+n1r5Sw tt/H0+tPKeF8/SRqeFP9PT6zynhfP0nlPC+fp9aXNUwqLVy5N+naimap6/RDR+HOc3Ams6jd 02xrFqnLt1zTVb+ydmVvcw+HsS1m5Go5tvGx8arbpzPxofLgHmZwtxpN+rQ8+jIotbxVVH1N pp1PCmN4yKZPKeF8/SRqeF8/T61nUsLb8vT60jU8Lb8vT6zynhbfl6SNTwp/p6fWeU8Lf84p PKeF8/SRqWF+kUz+8nUsLb8vT6yNTwtvy9J5Twtvy9KxqWFMxEX6ethONOI8rQ69P9z4Xumj KvRbqq3+LHyvvqfEPuXVcLTrdqLlzKomqOvsa7qPFvEGFrNGNc0eehXXFNMdLt+t3dL4szp4 pjSNQwPEeOn8XO7ar2di2q5orvRTVHocfKeF8/SsanhfP0+tI1PC3/OKTynhbfl6SNSwtvy9 PrJ1LC+fp9Z5Twvn6fWeU8L5+n1r5Swtt/H0+tI1PC/SKTynhfP0+sjU8Kf6en1k6nhbb+6K Y2a5x5zE4c4NwKM3Wc2izYr7KpfDE5l8NahpljUNJz7eXavVRHVPZu6PFfOXgThzo29Q1i1T kVzEU2/rblp2t6fm4FjMtZFM271uK6Z39EvtVqWF+kUx+9Y1LC+fpSdTwt/zik8p4Xz9JGp4 Xz9J5Twvn6fWs6nhfP0+tPKeF8/SvlPC2/L0+tPKeF8/SRqeFP8AT0+s8p4Xz9Llb1DEuVxR TepmZYLVOJMrD4wwNF9w72crfe9v8XZ2MfiGMniO9pePbprotW+l4yJ7avkYzTOK9SzsrWMS jS9r+FMRbp6X5R9eCuJ8jVsi9i5mN4m7bmd437NmxValh0zMTfpiYTynhbfl6TynhfP0+snU 8KP6en1nlPC+fpXylhbfl6fWkanhT/T0+s8p4W/5xSeU8L5+kjUsLr/hFJOpYW35en1kanhd nj6Tynhb/nFPrYTjfjfQeE9CuavquXRbxre29Usdo/NHhTW9LoztF1K3mRXEbUx1Nt0vMjM0 +3lTT0IrjfZgeO+POH+D9JjU9XzKLWPNyLc1T6JdLA5m8K6ro1zUtE1K3m0007xTHVuUcydA x9FualrGVbwaLfbEy58BcyuGOM7d+9omdRftWY66objbrpuURXRO9MxvEuQD5ZdmnIxrliuZ imunozMdrxPnZyJx+PPcdqjLuRasxtX06+vt9D78L8ltM4GxdMo0XLzciu3epquxer6UR8uz PcxOF9Q1PVbV+1EVUT2fUx2bwLxRGZg5uHlWunbrp6cVVf8AZDOcd8He+fKwcTOuXbdmImLt dqdpjq+V5jongxaboXMSNf07PyK8f40zdub177v0PgYtGJj0WaZmqKY26U9suw1bjDhHH13D zLfj71F3Io6O0VbUvF+BvBd0fSNWzNYz9RzKcqu5VXbpsXNqZ+1ttrllTrFu7pWq3sizibbU 12qtqtvtaxwV4M2m8L8zKOIcPPyLmJTRVE9O5vXvL2nUNDpx+GMzBw67lybluYjpzvLxrj7w a9G4w0nGy68/Np1GimJ8XVc/F7/Y3zlvyuxuHOE7Gj5OVfmq1Vv+BX1NijgrTZn85yvbPeXp 3Z7pyvbWeC9Oj/ycr20jgvTuvbJyvbWOCtO7PdOV1/5095enRP5zle2e8rTo6/dOV7ZPBWnd vunK9s95enbfnOV7axwVp09funK9s95WnT/5OV7aRwXpsT+c5XtuVHBmnU101xk5XVP9t9uM NHvZ/D1OBiTE1UV0zE1fJEtQ4j4L4kv8SYeqadkWqaaejF2KqvRDZs7RtQr4h03UaPFzONZm mvf0ywumaVredxjXqebRRRNExHVG0dGGy6nwthZ2VVk3b+RTVPbFNXU6scFabP8A5OV7ZHBe nbT/AAnK9sjgrTdvznK9s95Wnb/nOVv+ue8rTe33Tle2e8rTv0nK9s95WnTP5zle2e8rTtvz nK9tfeVp223unK9tI4K03r2ycr21jgrTv0nK9tI4K03r/hOV7bhkcEafXjXrdOTlb3Lc0x+H 8sPFeEvBX0bF4lv61q2oZdNc3JuW4sXdt+v0tn1jkXo3FGFn6fqObqFqzTV0bM0XNulH1pyU 5FY3ANvJs1Zd2q1cmej0K+vaflejxwVpu3Vk5XV/nPeXp0Tt7pyvbPeVp36Tle2vvK06I390 5XtnvK07bf3Tle2nvL07bf3Tle2tPBWnde2Tle2nvL07b85yvbX3l6dvv7pyvbSOC9OifznK 9tfeVp0f+Tle2nvK07r/AITle2e8vTZ/8nK9tyo4M06iuK4ycremf7bnxdo+Rn2dOt4sxMY9 6Kqul8kNU4p4L4lzNat6jp2XapmiqJjpVdkfUz1vQtTr4jq1LJrprijFppt0zO8eMj0sbpul 61n8aWNSzqKKYxZmKpiO3f5GyanwthZuXVk3b+RTVPopq6nVngvTe33Tle2scFadt1ZOVt+u e8vTv0nK9s95WnR1+6cr2yOCtOiPznK9tI4L039JyvbX3ladH/k5XV/nSeCtO23905XtkcF6 dMbe6cr21jgrTp/8nK9tI4K06er3Tle2U8F6bv1ZOV7a+8rTuuPdOV7bQudHJezxxolvT8fK uRTTtE+Mr+tjeGuQWj8H6HjY2nZudeuTVEXYrub0x8uzBcw/Ba0TXsu3qmnahmTlTVFVVN+5 +DH2PYNF4BwMPRsPDuZOT0rFmm3O1fVvEO57ytOiPznK9s95WnRH5zle2kcF6b2e6cr21jgr Tv0nK9tI4K06J/Ocr2z3labv+c5XtnvK03b85yvbX3lad+k5XtpHBWm9f8Jyur/Oe8vTtvzn K9s95WnfpOV7ZHBendvunK9t9sPhLAxcqm/RkZM1UzvETV1OHEujZedxDp2bjzTFGPTVFUz2 9bV9G4N4k03jGvPoybVWFXV0qt6vwu1nLelarp+q6zqOJFua78xNqJdXgLRNRt5+Tn50U0xd 6UVRHVO8std4N0+5druVZOVvV27VuHvK06P/ACcr2z3labvt7pyvbPeVpvb7pyvbPeVp09fu nK9tfeVp0/8Ak5XtkcFadHZk5XX/AJ095emxvHunK9tfeXp3b7pyvbPeVp07/wAJyvbSeC9O 7fdOV7Z7y9Oid/dOV7Z7ytN/Scr22o83OUePxfwdk6NjZV6LlyIiPGV9TWOBPB30bgvSrV7F z865m07dKjxm9G/2PbNAxrlrRLOPe6qop2l5tzr5P4/HPDM6XYybtNdV+LlXTr6tmB4P8H/R eCNBuV6dmZ17Pqp+JVc3o3+x9tY5Habxtw7dsa7lZuPfn4tNmvo07/W+/JTkfj8CYmVi3Mq5 Nu7G1PQr6+30vZ8SxTjY1uxRMzTRT0Yme19QAmNzY2g2jfcNuvcB8czp0Yl6u1G9yKJmn7du p57wTreq16xXZ1zKmzXXX0bdqY+N1vR4iN5mFNo22AAAAANusSI2+RQAAABIiI7FIjYAAAAA iNhIjaZUAAAAJjc2SYiVAAAAAiNjaCI27AAAAAmNyIiI2BgeOs3NwOHcm/p9MzkU0/gbOhy4 1e7qWm75eb47J/7qNtpp+ptkREdigAAAA43aZqtV0xPXMTDTNP4RyJ1+nOzbkTRZr6draeuZ +tusRtuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADoa5j3snT7tGNFNV7b8GK+yftYLgjh zJ0y7ey8/oU5FdU7U25/B2bZEbAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA 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 AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//2Q==