2 TRILUX LIS - Leuchten-Informationssystem 07 #8&6yDMeRj%7q2VV 8124851 TRILUX LnPlus 40-AM19L/8200-727 8G1 ETDD (CLO end value) ETDD 0 LnPlus LnPlus LnPlus LnPlus LnPlus LnPlus LnPlus 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) 69.00 1.0 LnPlus 40-AM19L/8200-727 8G1 ETDD (TOC 8124851): LED-Flutlichtstrahler für Flächenbeleuchtung. Die Leuchte erfüllt die Anforderungen der EN 60598 und ist ausgelegt für Einwirkungen durch Wind nach EN 1991(Eurocode) mit einer Basiswindgeschwindigkeit von bis zu 30m/s (entspricht Windzone 4 in Deutschland) in der Geländekategorie 1. Montagebügel aus Aluminiumdruckguss. Der stabile Montagebügel mit 3 Bohrungen ermöglicht neben einer 2-Punkt-Befestigung auch eine zentrale 1-Punkt-Befestigung. Scheinwerferkopf durch Einpunktmontage am Montagebügel schwenkbar. Sicherung der Schwenkposition durch verzahnte Arretierungen. Scheinwerferkopf und Montagebügel sind bei Auslieferung fertig montiert. Mastmontage für Einzel- und Mehrfachanwendung mittels Zubehör möglich. In MLT-Ausführung (Multi-Lens-Technologie), bestehend aus hocheffizienten, UV- und temperaturbeständigen Linsensystemen in Vierfachanordnung. Mit asymmetrisch tief und asymmetrisch breit strahlender Lichtstärkeverteilung. Zur flexiblen Anpassung an kundenspezifische Beleuchtungsaufgaben stehen weitere Abstrahlcharakteristiken zur Verfügung. LED-System bestehend aus 8 MLT-LED-Modulen mit jeweils 4 LED. Bemessungslichtstrom 8200 lm, Bemessungsleistung 66,00 W, maximale Leuchten-Lichtausbeute 124 lm/W. Lichtfarbe warmweiß, ähnlichste Farbtemperatur (CCT) 2700 K, allgemeiner Farbwiedergabeindex (CRI) Ra > 70. Farborttoleranz (initial MacAdam) < 5 SDCM. Mittlere Bemessungslebensdauer L80(tq 25 °C) = 100.000 h. Die Lichtquelle ist entsprechend der Ökodesign-Anforderungen (VO (EU) 2019/2020) austauschbar. Leuchtenkörper und Abschlussscheibenträger aus Aluminiumdruckguss. Abschlussscheibe aus planem Einscheibensicherheitsglas im Trägerrahmen befestigt. Farbe Leuchtenkörper / Montagebügel: anthrazit / silbergrau, (DB 703 / RAL 9006). Leuchtengehäuse hochwetterfest pulverbeschichtet. Weitere Farbvarianten nach RAL oder DB Farbcode möglich. Maße (L x B): 501 mm x 390 mm, Höhe 241 mm. Ballwurfsicher gemäß DIN 18032-3. Schutzklasse (EN 61140): I, Schutzart (DIN EN 60529): IP66, Stoßfestigkeitsgrad nach IEC 62262: IK09. Windangriffsfläche fw . Gewicht: 8,0 kg. Mit Betriebsgerät, digital dimmbar (DALI). Betriebsgerät gemäß DALI-2-Standard (EN 62386). Parametrierbares Betriebsgerät mit Lichtstromkonstanthaltung (CLO). Das Betriebsgerät ist entsprechend der Ökodesign-Anforderungen (VO (EU) 2019/2020) austauschbar. Stoßspannungsfestigkeit Differential Mode / Common Mode: 6 kV / 10 kV. 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. LnPlus 40-AM19L/8200-727 8G1 ETDD (TOC 8124851): LED floodlight for wide-area illumination. The luminaire is compliant to the requirements of EN 60598 and is designed for the effects of wind compliant to EN 1991 (Eurocode) with basic wind velocity of up to 30m/s (corresponding to wind zone 4 in Germany) in terrain category 1. Die-cast aluminium mounting bracket. The sturdy mounting bracket with 3 holes enables 2-point mounting as well as central 1-point mounting. Projector head can be swivelled on the mounting bracket by single-point mounting. Securing of swivel position by toothed locks. Projector head and mounting bracket are fully assembled on delivery. Post mounting for single and multiple arrangements is possible by means of accessories. As MLT version (Multi-Lens Technology), consisting of highly efficient UV and temperature-resistant lens systems in 4-fold configurations. With asymmetric narrow and asymmetric wide light distribution. Further beam characteristics are available for flexible adaptation to customer-specific lighting tasks. LED system consisting of 8 MLT LED modules with 4 LEDs each. Luminaire luminous flux 8200 lm, connected load 66,00 W, Light colour warm white, correlated colour temperature (CCT) 2700 K, general colour rendering index (CRI) Ra > 70. Colour locus tolerance (initial MacAdam) < 5 SDCM. Mean rated service life L80(tq 25 °C) = 100,000 h. The light source is replaceable according to the ecodesign requirements (VO (EU) 2019/2020). Luminaire body and cover support of die-cast aluminium. Cover of flat non-laminated safety glass fixed in frame. Colour of luminaire body / mounting bracket: anthracite / silver-grey, (DB 703 / RAL 9006). Luminaire housing highly weather resistant, powder-coated. Further colour variants possible from RAL or DB colour codes. Dimensions (L x W): 501 mm x 390 mm, height 241 mm. Ball-impact-resistance according to DIN 18032-3. Safety class (EN 61140): I, protection rating (DIN EN 60529): IP66, impact resistance level in accordance with IEC 62262: IK09. Windage area fw . Weight: 8,0 kg. With electronic transformer, digitally dimmable (DALI). Control gear unit according to DALI-2 standard (EN 62386). The control gear unit is replaceable in accordance with the ecodesign requirements (VO (EU) 2019/2020). 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. LnPlus 40-AM19L/8200-727 8G1 ETDD (TOC 8124851): Diodowy projektor iluminacyjny do oswietlania powierzchni. Oprawa spelnia wymogi normy EN 60598 i jest przeznaczona do ekspozycji na wiatr zgodnie z norma EN 1991 (Eurokod) przy podstawowej predkosci wiatru do 30 m/s (odpowiada strefie wiatru 4 w Niemczech) w terenie kategorii 1. Wspornik montazowy z cisnieniowo formowanego aluminium. Wytrzymaly wspornik montazowy z 3 otworami umozliwia montaz 2-punktowy, jak równiez centralny 1-punktowy. Glowice reflektora mozna obracac poprzez montaz jednopunktowy we wsporniku montazowym. Zabezpieczenie pozycji za pomoca zabkowanych mocowan. Glowica reflektora i wspornik montazowy sa w pelni zmontowane fabrycznie. Mozliwosc montazu na maszcie pojedynczo lub po kilka sztuk za pomoca akcesoriów. W wersji MLT (Multi Lens Technologie), obejmuje wysokowydajne systemy UV i odporne na temperatury systemy soczewkowe w konfiguracji poczwórnej. Z asymetrycznym, skupiono-szerokim rozsylem swiatla. Do elastycznego dostosowania do wymogów klienta oferowane sa inne charakterystyki rozsylu swiatla. System diodowy zlozony z 8 wielosoczewkowych modulów diodowych z 4 diodami na kazdy. Strumien swietlny oprawy 8200 lm, pobór mocy 66,00 W, Barwa swiatla biala ciepla, temperatura barwowa 2700 K, ogólny wskaznik oddawania barw (CRI) Ra > 70. Tolerancja barwowa (initial MacAdam) < 5 SDCM. Sredni okres trwalosci znamionowej L80(tq 25 °C) = 100.000 h. Zródlo swiatla jest wymiennE zgodnie z wymogami ekoprojektu (rozporzadzenie (UE) 2019/2020). Korpus oprawy i wspornik szyby z aluminium formowanego cisnieniowo. Szyba z plaskiego, pojedynczego szkla hartowanego zamocowana w ramie nosnej. Kolor korpusu oprawy / palaka montazowego: antracytowy / srebrnoszary, (DB 703 / RAL 9006). Obudowa oprawy odporna na warunki atmosferyczne, lakierowana proszkowo. Mozliwe sa równiez inne warianty kolorystyczne wg RAL lub DB. Wymiary (dl. x szer.): 501 mm x 390 mm, wysokosc 241 mm. Odporne na uderzenia pilka zgodnie z DIN 18032-3. Klasa ochronnosci (EN 61140): I, stopien ochrony (DIN EN 60529): IP66, stopien odpornosci na uderzenia wedlug IEC 62262: IK09. Powierzchnia ekspozycji na wiatr fw . Masa: 8,0 kg. Z transformatorem elektronicznym, sciemnialna cyfrowo (DALI). Urzadzenie sterujace zgodne ze standardem DALI-2 (EN 62386). Zasilacz jest wymienny zgodnie z wymogami ekoprojektu (rozporzadzenie (UE) 2019/2020). 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. LnPlus 40-AM19L/8200-727 8G1 ETDD (TOC 8124851): Projecteur LED pour illumination de surfaces. Le luminaire satisfait aux exigences de la norme EN 60598, il a été conçu pour des actions du vent selon la norme EN 1991 (Eurocode), la valeur de base maximale de la vitesse de référence du vent étant de 30 m/s (correspondant à la zone de vent 4 en Allemagne) dans la catégorie de terrain I. Étrier de montage en fonte d'aluminium. L'étrier de montage stable avec 3 trous permet non seulement une fixation en 2 points mais aussi une fixation centrale en 1 point. Tête de projecteur pivotant sur l'étrier de montage grâce au montage à 1 point. Blocage de la position de pivotement par des arrêts dentés. La tête du projecteur et l'étrier de montage sont entièrement montés à la livraison. Montage sur mât possible pour une application unique ou multiple au moyen d'accessoires. En version MLT (Technologie Multi Lens), composé de systèmes de lentilles hautement efficaces, résistants aux UV et aux températures extrêmes, en montage quadruple. À répartition asymétrique intensive et extensive des intensités lumineuses. D’autres faisceaux sont disponibles pour une adaptation flexible à des tâches d’éclairage personnalisées client. Système LED composé de 8 modules MLT LED, équipés chacun de 4 LED. Flux lumineux du luminaire 8200 lm, puissance raccordée 66,00 W, Teinte de lumière blanc chaud, température de couleur (CCT) 2700 K, indice général de rendu des couleurs (IRC) Ra > 70. Tolérance de localisation chromatique (initialement MacAdam) < 5 SDCM. Durée de vie assignée moyenne L80(tq 25 °C) = 100.000 h. La source lumineuse est remplaçable conformément aux exigences d'écoconception (Règlement (UE) 2019/2020). Corps du luminaire et support de la vitre de fermeture en aluminium moulé sous pression. Verre de fermeture en verre de sécurité simple plan, maintenu dans un cadre support. Couleur du corps du luminaire / de l'étrier de montage: anthracite / gris argent, (DB 703 / RAL 9006). Boîtier de luminaire très résistant aux intempéries, revêtement poudré. Possibilité d’autres variantes de couleur selon RAL ou code couleur DB. Dimensions (L x l): 501 mm x 390 mm, hauteur 241 mm. Résistant aux chocs des balles selon DIN 18032-3. Classe électrique (EN 61140) : I, indice de protection (norme EN 60529) : IP66, degré de résistance aux chocs selon la norme CEI 62262 : IK09. Surface exposée au vent Fw . Poids: 8,0 kg. Avec transformateur électronique, dimmable numériquement (DALI). Appareillage conf. au standard DALI 2 (EN 62386). L'appareillage est remplaçable conformément aux exigences d'écoconception (Règlement (UE) 2019/2020). 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. LnPlus 40-AM19L/8200-727 8G1 ETDD (TOC 8124851): Proiettori a LED per l'illuminazione di superfici. L'apparecchio soddisfa i requisiti della EN 60598 ed è concepito per poter resistere all'azione del vento secondo EN 1991(Eurocode) con una velocità di base di fino a 30m/s (corrispondente alla zona di vento 4 in Germania) nella categoria di terreno 1. Staffa di montaggio in alluminio pressofuso. La robusta staffa di montaggio con 3 fori permette, oltre che un fissaggio su 2 punti, anche un fissaggio centrale su un unico punto. Testata proiettore orientabile grazie a montaggio su un solo punto della staffa di montaggio. Fissaggio della posizione di orientamento con dispositivi dentellati. La testata del proiettore e la staffa di montaggio sono già montate a finire alla consegna. Possibilità di montaggio su palo, mediante accessori appositi, per applicazione singola e multipla. In versione MLT (Multi Lens Technology), comprendente sistemi a lenti ad alta efficienza in disposizione quadrupla termoresistenti a resistenti agli UV. Con distribuzione della luce a fascio asimmetrico concentrante e asimmetrico largo. Per permettere un adattamento flessibile ad esigenze di illuminazione specifiche al cliente sono disponibili altre caratteristiche di emissione. Sistema LED composto da 8 moduli MLT-LED con rispettivamente 4 LED. Flusso luminoso apparecchio 8200 lm, potenza assorbita 66,00 W, Colore della luce bianco caldo, temperatura del colore (CCT) 2700 K, indice di resa cromatica generale (CRI) Ra > 70. Tolleranza cromatica (iniziale MacAdam) < 5 SDCM. Durata utile di riferimento media L80(tq 25 °C) = 100.000 h. La sorgente luminosa è intercambiabile conformemente ai requisiti previsti dal regolamento europeo Ecodesign (2019/2020). Corpo apparecchio e supporto per lastra terminale in pressofusione di alluminio.. Lastra terminale in vetro di sicurezza monolastra piatto fissata in cornice portante. Colore corpo apparecchio / staffa di montaggio: antracite / grigio argento, (DB 703 / RAL 9006). Cassa verniciata a polvere, resistente alle intemperie. Possibilità di altre varianti di colore conformi a codici RAL o DB. Dimensioni (L x P): 501 mm x 390 mm, altezza 241 mm. Resistente ai colpi di pallone a norma DIN 18032-3. Classe di isolamento (EN 61140): I, grado di protezione (DIN EN 60529): IP66, grado di resistenza agli urti a norma IEC 62262: IK09. Superficie esposta al vento fw . Peso: 8,0 kg. Con trasformatore elettronico digitale dimmerabile (DALI). Alimentatore conforme allo standard DALI-2 (EN 62386). L'alimentatore è intercambiabile conformemente ai requisiti previsti dal regolamento europeo Ecodesign (2019/2020). 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. LnPlus 40-AM19L/8200-727 8G1 ETDD (TOC 8124851): LED-schijnwerper voor terreinverlichting. De armatuur voldoet aan de eisen van EN 60598 en is ontworpen om bestand te zijn tegen windbelasting conform EN 1991 (Eurocode) bij een basiswindsnelheid van max. 30 m/s (stemt overeen met windzone 4 in Duitsland) in terreincategorie 1. Montagebeugel uit spuitgietaluminium. De stabiele montagebeugel met 3 boorgaten maakt naast tweepunts montage ook centrale éénpunts montage mogelijk. Schijnwerperkop aan de montagebeugel zwenkbaar door éénpunts montage. Fixering van de zwenkpositie door getande vergrendelinrichting. Schijnwerperkop en montagebeugel zijn gemonteerd bij levering. Mastmontage voor enkel- en meervoudige toepassing mogelijk door middel van toebehoren. In MLT-uitvoering (Multi-Lens-Technology), bestaande uit hoogefficiënte UV- en temperatuurbestendige lenzensystemen in viervoudige opstelling. Met asymmetrische diepe en asymmetrische brede lichtverdeling. Extra stralingskarakteristieken beschikbaar voor een flexibele aanpassing aan klantspecifieke verlichtingstaken. LED-systeem bestaande uit 8 MLT-LED-modules met 4 LED's. Armatuurlichtstroom 8200 lm, aansluitvermogen 66,00 W, Lichtkleur warm wit, kleurtemperatuur (CCT) 2700 K, algemene kleurweergave-index (CRI) Ra > 70. Kleurplaatstolerantie (initial MacAdam) < 5 SDCM. Gemiddelde opgegeven levensduur L80(tq 25 °C) = 100.000 h. De lichtbron kan vervangen worden overeenkomstig de eisen inzake ecologisch ontwerp (EU-Verordening 2019/2020). Armatuurbehuizing en afdekglasdrager uit spuitgietaluminium. Afdekglas uit vlak enkelvoudig veiligheidsglas in het dragerframe bevestigd. Kleur armatuurbehuizing/montagebeugel: antraciet / zilvergrijs, (DB 703 / RAL 9006). Armatuurbehuizing uiterst weerbestendig gepoederlakt. Andere kleuren conform RAL of kleurcode van Deutsche Bahn mogelijk. Afmetingen (L x B): 501 mm x 390 mm, hoogte 241 mm. Balvast conform DIN 18032-3. Beschermcategorie (EN 61140): I, beschermklasse (DIN EN 60529): IP66, slagvastheid overeenkomstig IEC 62262: IK09. Windweerstandsoppervlak fw . Gewicht: 8,0 kg. Met elektronische transformator, digitaal dimbaar (DALI). Hulpapparaat volgens DALI-2-standaard (EN 62386). Het hulpapparaat kan vervangen worden overeenkomstig de eisen inzake ecologisch ontwerp (EU-Verordening 2019/2020). 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. LnPlus 40-AM19L/8200-727 8G1 ETDD (TOC 8124851): Proyector LED para la iluminación bidimensional. La luminaria cumple con los requisitos de la EN 60598 y ha sido diseñada para los efectos del viento según la EN 1991(Eurocódigo) con una velocidad básica de hasta 30m/s (corresponde a una zona de viento 4 en Alemania) para la categoría de terreno 1. Estribos de montaje de aluminio colado a presión. El estribo de montaje estable con 3 perforaciones permite tanto una fijación en 2 puntos como también una fijación central en 1 punto. La cabeza de proyector puede inclinarse gracias al montaje en un punto en el estribo de montaje. Bloqueo de la posición de inclinación a través de cierres dentados. En el estado de suministro, la cabeza de proyector y el estribo de montaje están ya premontados. Los accesorios permiten un montaje en mástil para aplicaciones múltiples e individuales. En versión MLT (Multi Lens Technology), compuesta por unos sistemas de lentes altamente eficientes y resistentes a la radiación ultravioleta y a las altas temperaturas en disposición cuádruple. Con una distribución asimétrica extensiva e intensiva de las intensidades luminosas. Para una adaptación flexible a las tareas de iluminación están a su disposición otras características de iluminación. Sistema LED compuesto de 8 módulos MLT-LED con 4 LED cada uno. Flujo luminoso de las luminarias 8200 lm, potencia conectada 66,00 W, Color de luz color blanco cálido, temperatura del color (CCT) 2700 K, indice de reproducción cromática general (CRI) Ra > 70. Tolerancia de color (inicialmente MacAdam) < 5 SDCM. Vida útil nominal media L80(tq 25 °C) = 100.000 h. La fuente de luz puede ser sustituida acorde con los requisitos del diseño ecológico (VO (UE) 2019/2020). Cuerpo de luminaria y soporte del disco terminal fabricados en aluminio colado a presión. Disco terminal de cristal plano de seguridad fijado en el marco de soporte. Color del cuerpo de luminaria/estribo de montaje: antracit / gris plata, (DB 703 / RAL 9006). Cuerpo de luminaria altamente resistente a la intemperie, lacado en polvo. Son posibles otras variantes de color según RAL o código de color DB. Dimensiones (L x A): 501 mm x 390 mm, altura 241 mm. A prueba de golpes de pelota según DIN 18032-3. Clase de protección (EN 61140): I, grado de protección (DIN EN 60529): IP66, grado de la resistencia al impacto según IEC 62262: IK09. Superficie atacada por el viento fw . Peso de: 8,0 kg. Con transformador digital electrónico regulable (DALI). Equipamiento eléctrico según el estándar DALI-2 (EN 62386). El equipamiento eléctrico puede sustituirse según los requisitos del diseño ecológico (VO (EU) 2019/2020). El producto cumple con los requisitos básicos de las directrices europeas aplicables y de la ley para la seguridad de aparatos y productos y lleva el marcado CE. Además, la luminaria dispone de la certificación ENEC otorgada por un organismo de auditoría independiente. 1 69.00 8200.00 2700K 70 444 315 65 190 275 0 0 0 0 EULUM TX377729.LDT ![CDATA[TRILUX 3 0 144 2.5 73 2.5 c223028 LnPlus 40-AM19L/8200-727 8G1 ETDD (CLO end value) TX377729 29.06.2023 - Lux 444 315 65 190 275 0 0 0 0 100 99.9933013916016 1 0 1 1 1 x LED ETDD 8200 2700K 70 69 .156005372771864 .25971382248785 .349671687681947 .45226563384248 .531265616337603 .625109836884516 .701063120427897 .75822639647873 .808461539719439 .847173160825689 0 2.5 5 7.5 10 12.5 15 17.5 20 22.5 25 27.5 30 32.5 35 37.5 40 42.5 45 47.5 50 52.5 55 57.5 60 62.5 65 67.5 70 72.5 75 77.5 80 82.5 85 87.5 90 92.5 95 97.5 100 102.5 105 107.5 110 112.5 115 117.5 120 122.5 125 127.5 130 132.5 135 137.5 140 142.5 145 147.5 150 152.5 155 157.5 160 162.5 165 167.5 170 172.5 175 177.5 180 182.5 185 187.5 190 192.5 195 197.5 200 202.5 205 207.5 210 212.5 215 217.5 220 222.5 225 227.5 230 232.5 235 237.5 240 242.5 245 247.5 250 252.5 255 257.5 260 262.5 265 267.5 270 272.5 275 277.5 280 282.5 285 287.5 290 292.5 295 297.5 300 302.5 305 307.5 310 312.5 315 317.5 320 322.5 325 327.5 330 332.5 335 337.5 340 342.5 345 347.5 350 352.5 355 357.5 0 2.5 5 7.5 10 12.5 15 17.5 20 22.5 25 27.5 30 32.5 35 37.5 40 42.5 45 47.5 50 52.5 55 57.5 60 62.5 65 67.5 70 72.5 75 77.5 80 82.5 85 87.5 90 92.5 95 97.5 100 102.5 105 107.5 110 112.5 115 117.5 120 122.5 125 127.5 130 132.5 135 137.5 140 142.5 145 147.5 150 152.5 155 157.5 160 162.5 165 167.5 170 172.5 175 177.5 180 137.3 138.72 134.4 132.16 126.56 121.41 116.08 110.09 111.72 106.79 108.74 113.44 127.64 153.42 187.48 204.25 211.78 216.15 225.84 233.47 251.1 275.95 303.89 324.28 308.94 252.76 168.91 101.48 55.52 33.57 21.15 10.38 3.26 .39 .13 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 138.95 135.5 132.18 128.53 124.26 118.34 111.88 114.55 109.47 112.34 117.19 132.52 159.62 193.2 216.19 227.64 230.08 242.16 258.39 270.78 299.87 327.45 349.68 339.68 273.73 182.99 105.79 60.38 36.62 21.95 11.28 3.73 .39 .13 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 139.5 136.55 134.18 129.48 124.65 122.32 115.55 113.72 112.91 116.7 121.82 133.96 164.79 201.09 228.01 233.17 246.15 258.63 270.11 294.82 320.45 347.01 369.56 358.34 294.58 191.8 112.31 63.07 39.48 23.06 12.27 4.01 .36 .15 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 138.81 137.77 135.41 130.63 128.27 124.65 121.59 117.53 116.42 119.24 124.13 139.89 167.81 207.57 232.67 245.53 252.72 267.47 282.02 299.94 329.82 356.3 385.32 371.74 302.25 200.64 116.86 65.7 40.37 24.16 13.25 4.24 .44 .13 .06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 139.49 137.71 138.58 134.46 130.86 125.48 124.03 121.56 118.76 121.3 128.1 141.37 170.17 209.34 235.76 247.02 257.29 266.97 284.23 307.11 332.29 363.26 388.01 376.04 309.3 205.08 118.21 67.49 40.59 24.95 13.61 4.54 .54 .13 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 140.03 138.85 139.63 135.32 133.94 126.98 124.94 122.86 120.21 122.53 128.02 139.97 168.72 207.33 238.39 253.28 260.56 273.63 286.34 308.19 335.35 362.18 389.54 381.03 311.14 205.81 122.45 68.93 41.23 25.52 13.8 4.94 .53 .13 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 140.45 139.79 142.01 136.29 135.14 132.29 125.83 122.97 121.97 122.28 130.01 142.12 170.14 207.58 239.03 259.01 264.7 280.79 294.67 315.91 343.26 362.8 391.72 380.74 316.9 211.09 125.21 71.43 43.09 26.92 14.55 5.03 .55 .14 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 141.19 141.83 143.48 139.81 133.98 134.35 127.65 125.62 122.6 125.23 128.87 142.32 169.69 206.74 241.39 261.25 272.55 282.66 302.16 321.51 345.95 371.23 398.16 397.27 323.75 217.28 127.97 73.93 44.68 27.52 14.97 5.42 .67 .12 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 141.29 142.42 144.29 140.14 135.78 133.79 129.12 123.68 123.14 126.32 133.24 144.76 170.97 208.89 243.9 271.07 283.34 292.79 309.87 328.18 352.01 383 402.98 402.96 336.49 224.61 132.31 78.74 47.37 29.27 16.41 6.36 .7 .11 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 141.86 142.13 145.31 143.63 138.1 133.63 128.63 124.9 125.26 129.39 133.62 147.15 172.49 210.58 247.27 278.26 288.42 304.94 321.5 338.51 361.67 386.78 411.64 415.44 348.81 230.2 137.16 79.83 48.36 30.77 17.04 6.57 .89 .12 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 142.94 143.8 146.05 145.55 141.68 132.73 127.98 126.02 125.46 129.42 135.46 149.56 172.86 212.4 249.21 282.24 298.09 314.42 330.45 353.82 372.6 393.55 427.82 432.01 355.19 240.48 141.11 82.53 50.89 30.5 18.55 7.63 1.21 .11 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 143.11 144.98 148.38 145.21 142.35 133.56 130.64 128.14 126.65 129.58 138.63 151.69 177.08 212.47 252.71 287.93 308.7 324.8 344.08 360.21 384.39 410.8 438.68 447.84 371.64 245.96 146.1 86.39 52.34 33.85 19.26 8.47 1.3 .13 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 143.24 146.25 148.51 145.42 140.97 134.04 131.61 129.43 130.83 134.05 141.95 156.11 177.99 213.24 256.16 294.98 321.93 344.12 361.65 377.54 405.12 427.03 459.76 465.08 382.53 251.14 150.42 86.98 56.55 34.35 20.78 8.98 1.63 .13 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 143.04 150.19 149.73 144.55 140.22 133.22 132.87 129.52 131 134.72 145.79 158.78 182.41 217.43 263.29 305.05 338.33 359.56 381.88 400.36 429.79 459.52 489.21 489.11 400.47 260.22 153.03 92.31 56.32 36.1 22.7 10.04 1.93 .12 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 144.06 150.66 150.7 148.13 141.63 136.4 132.35 130.91 132.2 140.43 148.04 163.91 188.46 226.06 269.09 324.59 358.37 392.08 411.32 433.25 463.88 490.04 530.03 516.46 419.79 271.98 163.72 95.11 59.52 38.24 23.57 11.32 2.46 .15 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 145.08 150.72 150.81 148.72 141.47 137.1 132.22 134.93 133.59 141.99 152.25 171.4 196.4 233.45 281.28 339.34 387.29 424.77 454.39 477.37 505.69 539.06 563.97 555.26 446.01 292.25 174.52 101.81 63.53 40.36 25.85 13.32 2.82 .15 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 145.73 153.74 150.59 147.58 141.82 138.22 134.42 137.06 133.84 146.61 157.62 177.25 205.9 247.15 300.48 363.94 419.79 461.27 498.61 521.96 552.32 586.34 611.4 595.96 475.27 314.67 189.23 114.33 69.9 43.74 27.57 13.76 3.24 .16 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 145.07 153.66 151.5 146.66 142.1 138 135.54 134.88 140.36 147.54 161.54 184.07 216.72 259.43 318.82 383.62 450.48 501.68 536.44 565.55 597.94 626.33 652.8 633.05 506.77 341.09 209.88 125.52 76.12 46.23 30.09 15.37 3.62 .17 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 146.43 154.99 150.19 148.87 142.5 141.25 137.8 135.57 140.92 151.23 168.67 190.24 226.66 271.93 337.43 406.06 481.19 542.13 584.38 605.44 640.78 668.07 694.65 675.33 541.02 367.97 231.86 140.84 83.99 52.62 32 17.29 4.47 .18 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 147.35 153.14 150.15 147.17 142.09 140.1 134.48 136.34 143.31 154.87 173.09 202.13 240.25 290.01 357.79 434.25 510.2 572.88 621.16 650.23 673.09 698.31 719.06 699.83 570.35 396.41 253.61 156.18 93.85 58.16 36.8 19.02 5.07 .19 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 147.51 153.84 150.47 146.63 141.43 139.82 137.54 138.04 146.63 159.53 181.68 210.72 255.28 308.28 377.35 455.81 531.71 607.22 650.6 688.39 702.36 729.67 739.54 721.33 595.29 414.76 270.28 170.38 102.78 64.01 41.5 21.34 5.66 .19 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 147.26 155 150.66 144.35 141.85 139.26 136.7 138.33 147.96 162.65 189.02 220.91 266.13 327.78 401.25 473.58 551.27 623.83 677.33 712.16 731.92 748.27 762.68 738.33 604.53 433.92 284.07 176.53 109.85 70.2 45.79 23.99 6.8 .2 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 146.87 155.01 149.72 143.2 141.28 139.34 137.9 140.32 150.17 167.91 193.14 229.2 279.22 348.15 418.96 495.29 571.35 627.64 694.41 726.8 750.4 768.66 771.83 746.37 613.56 428.9 284.77 178.62 111.33 76.55 49.7 25.24 7.14 .22 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 147.37 156.43 149.78 145.49 139.97 137.24 138.92 143.11 151.53 173 197.8 235.01 292.6 364.69 435.81 511.87 583.09 646.42 699.01 738.55 764.32 780.37 794.53 757.67 613.36 430.58 277.18 172.77 110.84 75.57 48.52 25.93 6.45 .19 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 146.85 154.2 149.66 145.74 140.27 137.04 138.96 143.71 154.7 173.96 201.75 247.59 304.84 381.8 459.97 528.04 595.35 655.19 703.36 741.34 771.89 788.96 798.35 757.42 619.4 423.83 267.98 164.58 104.63 72.21 46.26 23.42 5.88 .19 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 148.12 152.98 150.86 146.64 141.09 137.57 139.14 143.61 157.68 177.55 205.74 251.49 317.78 392.49 471.82 543.75 607.64 664.71 707.04 742.08 769.4 786.8 796.04 755.62 607.79 414.83 259.04 152.93 99.17 66.64 42.9 21.13 4.75 .17 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 148.05 153.12 149.62 145.55 141.28 136.57 138.83 144.44 157.31 179.73 213.22 260.42 327.81 405.87 484.43 558.64 623.59 670.99 710.42 742.42 767.41 781.48 788.77 753.11 595.37 406.13 243.96 144.68 95.08 63.89 39.58 18.36 4.2 .15 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 147.75 154.29 148.71 146.61 142.75 136.62 139.5 146.64 158.52 183.6 215.96 267.35 336.28 415.18 499.16 567.58 629.02 674.96 720.75 738.91 759.72 776.79 776.69 732.27 576.09 380.41 229.18 135.97 88.87 58.92 35.82 16.13 3.2 .14 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 148.37 153.54 148.49 147.46 141.21 139.01 138.36 144.85 162.64 185.04 218.63 271.93 344.83 427.05 507.61 576.86 638.2 687.03 721 740.94 756.84 766.35 769.49 713.72 554.51 360.03 213.6 125.59 81.23 54.74 31.2 13.48 2.32 .16 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 148.94 154.85 148.16 147.03 142.49 140.27 140.33 148.35 164.35 186.29 223.1 275.89 349.41 430.33 512.98 588.3 642.65 687.47 722.42 745.16 753.63 759.45 750.16 697.65 538.65 341.37 197.95 116.7 76.18 48.92 28.56 11.84 1.61 .13 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 149.34 151.64 148.37 144.92 141.22 142.1 141.48 146 164.21 185.69 225.15 286.1 355.06 436.69 516.94 591.21 644.52 687.31 721.71 744.92 747.12 758.9 740.55 683.17 520.91 322.62 186.93 110.16 70.6 46.83 25.7 9.87 1.3 .11 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 149.39 152.13 151.11 147.71 141.54 139.26 140.73 148.54 165.12 187.16 226.89 287.23 359.98 446.6 518.19 589.06 646.98 695.05 723.21 739.91 746.38 745.62 734.64 668.38 505.74 308.32 175.4 103.1 66.27 42.33 23.74 8.69 .97 .13 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 150.6 151.04 151.1 147.09 140.29 138.97 141.04 150.08 165.74 189.82 230.47 288.52 363.41 448.88 522.88 594.99 649.83 694.06 724.8 739.92 738.63 745.4 723.97 661.23 492.15 293.95 166.19 97.13 62.16 39.58 22.68 8.2 .96 .12 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 150.14 151.32 151.68 144.44 141.32 138.8 141.24 152.49 165.74 190.86 231.82 290.33 367.1 448.28 522.61 594.95 648.89 695.05 720.68 735.95 738.54 736.45 721.4 646.59 478.89 289.88 160.23 94.14 59.91 39.77 21.21 7.53 .79 .12 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 150.49 150.46 151.26 146.22 141.86 138.98 141.75 149.77 165.7 191.49 232.48 294.72 369 448.67 526.72 592.02 651.84 689.16 720.7 727.55 741.75 737.73 710.57 644.1 472.89 281.7 157.04 92.56 59.59 37.27 20 7.31 .73 .12 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 149.76 151.23 152.27 148.76 142.51 135.67 140.94 148.51 165.89 191.94 230.83 298.82 372.47 448.31 529.2 595.19 651.53 696.17 722.69 728.24 733.25 733.24 714.74 640.5 470.29 277.81 154.93 91.63 57.35 37.54 19.46 6.74 .67 .12 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 149.77 151.91 150.69 149.87 140.57 133.6 141.13 152.61 166.17 192.51 231.34 297.54 369.69 458.2 523.49 597.26 648.09 698.37 723.41 728.37 736.04 736.13 707.42 639.83 467.25 275.13 153.27 91.07 57.99 36.5 19.67 6.52 .76 .12 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 149.76 151.23 152.27 148.76 142.51 135.67 140.94 148.51 165.89 191.94 230.83 298.82 372.47 448.31 529.2 595.19 651.53 696.17 722.69 728.24 733.25 733.24 714.74 640.5 470.29 277.81 154.93 91.63 57.35 37.54 19.46 6.74 .67 .12 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 150.49 150.46 151.26 146.22 141.86 138.98 141.75 149.77 165.7 191.49 232.48 294.72 369 448.67 526.72 592.02 651.84 689.16 720.7 727.55 741.75 737.73 710.57 644.1 472.89 281.7 157.04 92.56 59.59 37.27 20 7.31 .73 .12 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 150.14 151.32 151.68 144.44 141.32 138.8 141.24 152.49 165.74 190.86 231.82 290.33 367.1 448.28 522.61 594.95 648.89 695.05 720.68 735.95 738.54 736.45 721.4 646.59 478.89 289.88 160.23 94.14 59.91 39.77 21.21 7.53 .79 .12 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 150.6 151.04 151.1 147.09 140.29 138.97 141.04 150.08 165.74 189.82 230.47 288.52 363.41 448.88 522.88 594.99 649.83 694.06 724.8 739.92 738.63 745.4 723.97 661.23 492.15 293.95 166.19 97.13 62.16 39.58 22.68 8.2 .96 .12 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 149.39 152.13 151.11 147.71 141.54 139.26 140.73 148.54 165.12 187.16 226.89 287.23 359.98 446.6 518.19 589.06 646.98 695.05 723.21 739.91 746.38 745.62 734.64 668.38 505.74 308.32 175.4 103.1 66.27 42.33 23.74 8.69 .97 .13 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 149.34 151.64 148.37 144.92 141.22 142.1 141.48 146 164.21 185.69 225.15 286.1 355.06 436.69 516.94 591.21 644.52 687.31 721.71 744.92 747.12 758.9 740.55 683.17 520.91 322.62 186.93 110.16 70.6 46.83 25.7 9.87 1.3 .11 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 148.94 154.85 148.16 147.03 142.49 140.27 140.33 148.35 164.35 186.29 223.1 275.89 349.41 430.33 512.98 588.3 642.65 687.47 722.42 745.16 753.63 759.45 750.16 697.65 538.65 341.37 197.95 116.7 76.18 48.92 28.56 11.84 1.61 .13 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 148.37 153.54 148.49 147.46 141.21 139.01 138.36 144.85 162.64 185.04 218.63 271.93 344.83 427.05 507.61 576.86 638.2 687.03 721 740.94 756.84 766.35 769.49 713.72 554.51 360.03 213.6 125.59 81.23 54.74 31.2 13.48 2.32 .16 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 147.75 154.29 148.71 146.61 142.75 136.62 139.5 146.64 158.52 183.6 215.96 267.35 336.28 415.18 499.16 567.58 629.02 674.96 720.75 738.91 759.72 776.79 776.69 732.27 576.09 380.41 229.18 135.97 88.87 58.92 35.82 16.13 3.2 .14 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 148.05 153.12 149.62 145.55 141.28 136.57 138.83 144.44 157.31 179.73 213.22 260.42 327.81 405.87 484.43 558.64 623.59 670.99 710.42 742.42 767.41 781.48 788.77 753.11 595.37 406.13 243.96 144.68 95.08 63.89 39.58 18.36 4.2 .15 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 148.12 152.98 150.86 146.64 141.09 137.57 139.14 143.61 157.68 177.55 205.74 251.49 317.78 392.49 471.82 543.75 607.64 664.71 707.04 742.08 769.4 786.8 796.04 755.62 607.79 414.83 259.04 152.93 99.17 66.64 42.9 21.13 4.75 .17 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 146.85 154.2 149.66 145.74 140.27 137.04 138.96 143.71 154.7 173.96 201.75 247.59 304.84 381.8 459.97 528.04 595.35 655.19 703.36 741.34 771.89 788.96 798.35 757.42 619.4 423.83 267.98 164.58 104.63 72.21 46.26 23.42 5.88 .19 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 147.37 156.43 149.78 145.49 139.97 137.24 138.92 143.11 151.53 173 197.8 235.01 292.6 364.69 435.81 511.87 583.09 646.42 699.01 738.55 764.32 780.37 794.53 757.67 613.36 430.58 277.18 172.77 110.84 75.57 48.52 25.93 6.45 .19 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 146.87 155.01 149.72 143.2 141.28 139.34 137.9 140.32 150.17 167.91 193.14 229.2 279.22 348.15 418.96 495.29 571.35 627.64 694.41 726.8 750.4 768.66 771.83 746.37 613.56 428.9 284.77 178.62 111.33 76.55 49.7 25.24 7.14 .22 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 147.26 155 150.66 144.35 141.85 139.26 136.7 138.33 147.96 162.65 189.02 220.91 266.13 327.78 401.25 473.58 551.27 623.83 677.33 712.16 731.92 748.27 762.68 738.33 604.53 433.92 284.07 176.53 109.85 70.2 45.79 23.99 6.8 .2 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 147.51 153.84 150.47 146.63 141.43 139.82 137.54 138.04 146.63 159.53 181.68 210.72 255.28 308.28 377.35 455.81 531.71 607.22 650.6 688.39 702.36 729.67 739.54 721.33 595.29 414.76 270.28 170.38 102.78 64.01 41.5 21.34 5.66 .19 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 147.35 153.14 150.15 147.17 142.09 140.1 134.48 136.34 143.31 154.87 173.09 202.13 240.25 290.01 357.79 434.25 510.2 572.88 621.16 650.23 673.09 698.31 719.06 699.83 570.35 396.41 253.61 156.18 93.85 58.16 36.8 19.02 5.07 .19 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 146.43 154.99 150.19 148.87 142.5 141.25 137.8 135.57 140.92 151.23 168.67 190.24 226.66 271.93 337.43 406.06 481.19 542.13 584.38 605.44 640.78 668.07 694.65 675.33 541.02 367.97 231.86 140.84 83.99 52.62 32 17.29 4.47 .18 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 145.07 153.66 151.5 146.66 142.1 138 135.54 134.88 140.36 147.54 161.54 184.07 216.72 259.43 318.82 383.62 450.48 501.68 536.44 565.55 597.94 626.33 652.8 633.05 506.77 341.09 209.88 125.52 76.12 46.23 30.09 15.37 3.62 .17 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 145.73 153.74 150.59 147.58 141.82 138.22 134.42 137.06 133.84 146.61 157.62 177.25 205.9 247.15 300.48 363.94 419.79 461.27 498.61 521.96 552.32 586.34 611.4 595.96 475.27 314.67 189.23 114.33 69.9 43.74 27.57 13.76 3.24 .16 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 145.08 150.72 150.81 148.72 141.47 137.1 132.22 134.93 133.59 141.99 152.25 171.4 196.4 233.45 281.28 339.34 387.29 424.77 454.39 477.37 505.69 539.06 563.97 555.26 446.01 292.25 174.52 101.81 63.53 40.36 25.85 13.32 2.82 .15 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 144.06 150.66 150.7 148.13 141.63 136.4 132.35 130.91 132.2 140.43 148.04 163.91 188.46 226.06 269.09 324.59 358.37 392.08 411.32 433.25 463.88 490.04 530.03 516.46 419.79 271.98 163.72 95.11 59.52 38.24 23.57 11.32 2.46 .15 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 143.04 150.19 149.73 144.55 140.22 133.22 132.87 129.52 131 134.72 145.79 158.78 182.41 217.43 263.29 305.05 338.33 359.56 381.88 400.36 429.79 459.52 489.21 489.11 400.47 260.22 153.03 92.31 56.32 36.1 22.7 10.04 1.93 .12 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 143.24 146.25 148.51 145.42 140.97 134.04 131.61 129.43 130.83 134.05 141.95 156.11 177.99 213.24 256.16 294.98 321.93 344.12 361.65 377.54 405.12 427.03 459.76 465.08 382.53 251.14 150.42 86.98 56.55 34.35 20.78 8.98 1.63 .13 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 143.11 144.98 148.38 145.21 142.35 133.56 130.64 128.14 126.65 129.58 138.63 151.69 177.08 212.47 252.71 287.93 308.7 324.8 344.08 360.21 384.39 410.8 438.68 447.84 371.64 245.96 146.1 86.39 52.34 33.85 19.26 8.47 1.3 .13 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 142.94 143.8 146.05 145.55 141.68 132.73 127.98 126.02 125.46 129.42 135.46 149.56 172.86 212.4 249.21 282.24 298.09 314.42 330.45 353.82 372.6 393.55 427.82 432.01 355.19 240.48 141.11 82.53 50.89 30.5 18.55 7.63 1.21 .11 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 141.86 142.13 145.31 143.63 138.1 133.63 128.63 124.9 125.26 129.39 133.62 147.15 172.49 210.58 247.27 278.26 288.42 304.94 321.5 338.51 361.67 386.78 411.64 415.44 348.81 230.2 137.16 79.83 48.36 30.77 17.04 6.57 .89 .12 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 141.29 142.42 144.29 140.14 135.78 133.79 129.12 123.68 123.14 126.32 133.24 144.76 170.97 208.89 243.9 271.07 283.34 292.79 309.87 328.18 352.01 383 402.98 402.96 336.49 224.61 132.31 78.74 47.37 29.27 16.41 6.36 .7 .11 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 141.19 141.83 143.48 139.81 133.98 134.35 127.65 125.62 122.6 125.23 128.87 142.32 169.69 206.74 241.39 261.25 272.55 282.66 302.16 321.51 345.95 371.23 398.16 397.27 323.75 217.28 127.97 73.93 44.68 27.52 14.97 5.42 .67 .12 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 140.45 139.79 142.01 136.29 135.14 132.29 125.83 122.97 121.97 122.28 130.01 142.12 170.14 207.58 239.03 259.01 264.7 280.79 294.67 315.91 343.26 362.8 391.72 380.74 316.9 211.09 125.21 71.43 43.09 26.92 14.55 5.03 .55 .14 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 140.03 138.85 139.63 135.32 133.94 126.98 124.94 122.86 120.21 122.53 128.02 139.97 168.72 207.33 238.39 253.28 260.56 273.63 286.34 308.19 335.35 362.18 389.54 381.03 311.14 205.81 122.45 68.93 41.23 25.52 13.8 4.94 .53 .13 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 139.49 137.71 138.58 134.46 130.86 125.48 124.03 121.56 118.76 121.3 128.1 141.37 170.17 209.34 235.76 247.02 257.29 266.97 284.23 307.11 332.29 363.26 388.01 376.04 309.3 205.08 118.21 67.49 40.59 24.95 13.61 4.54 .54 .13 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 138.81 137.77 135.41 130.63 128.27 124.65 121.59 117.53 116.42 119.24 124.13 139.89 167.81 207.57 232.67 245.53 252.72 267.47 282.02 299.94 329.82 356.3 385.32 371.74 302.25 200.64 116.86 65.7 40.37 24.16 13.25 4.24 .44 .13 .06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 139.5 136.55 134.18 129.48 124.65 122.32 115.55 113.72 112.91 116.7 121.82 133.96 164.79 201.09 228.01 233.17 246.15 258.63 270.11 294.82 320.45 347.01 369.56 358.34 294.58 191.8 112.31 63.07 39.48 23.06 12.27 4.01 .36 .15 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 138.95 135.5 132.18 128.53 124.26 118.34 111.88 114.55 109.47 112.34 117.19 132.52 159.62 193.2 216.19 227.64 230.08 242.16 258.39 270.78 299.87 327.45 349.68 339.68 273.73 182.99 105.79 60.38 36.62 21.95 11.28 3.73 .39 .13 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 138.72 134.4 132.16 126.56 121.41 116.08 110.09 111.72 106.79 108.74 113.44 127.64 153.42 187.48 204.25 211.78 216.15 225.84 233.47 251.1 275.95 303.89 324.28 308.94 252.76 168.91 101.48 55.52 33.57 21.15 10.38 3.26 .39 .13 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 137.48 134.5 129.97 126.75 120.5 113.85 110.06 106.68 105.16 103.02 108.31 122.95 145.38 174.14 194.05 198.1 197.69 206.18 214.47 232.6 251.44 274.31 290.21 283.08 228.5 158.3 92.01 53.12 31.99 19.68 9.88 3.01 .35 .11 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 136.72 132.93 127.82 123.77 118.18 112.07 105.17 102.54 101.07 101.46 103.99 116.22 137.54 163.98 181.31 183.67 184.97 187.33 197.43 207.5 227.7 242.94 255.89 244.09 200.57 136.62 83.64 50.47 30.18 18.12 9.29 2.89 .29 .12 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 135.17 134.1 126.55 122.18 116.98 109.62 102.69 103.59 95.92 97.23 101.58 108 130.36 154.93 168.86 171.04 168.86 172.46 179.22 186.98 196.87 208.92 216.52 207.44 171.45 122.16 75.9 45.89 27.9 17.77 9.04 2.63 .29 .11 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.7 133.62 126.06 120.76 115.13 107.71 102.99 98.81 96.43 96.37 95.17 103.44 123.65 144.8 155.7 155.75 156.38 155.41 158.47 165.31 170.78 172.81 173.48 163.92 133.97 96.28 63.26 40.34 25.37 15.77 8.35 2.49 .28 .11 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.78 135.58 125.3 120.19 113.16 105.74 100.82 94.25 92.98 91.31 91.25 101.19 115.47 131.3 143.65 142.89 141.69 138.24 137.17 135.45 128.35 125.28 119.79 111.69 92.1 71.21 47.47 30.75 21.59 14.17 7.11 2.26 .27 .1 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.59 134.55 124.18 120.55 110.95 105.42 99.06 93.17 90.31 86.43 87.76 92.67 107.2 126.25 132.08 127.8 121.85 116.5 107.54 96.66 90.39 80.05 75.07 64.3 56.25 44.22 32.24 23.21 16.95 12.03 6.4 2.46 .23 .1 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 135.13 132.73 124.42 119.33 107.61 103.06 95.43 92.14 88.04 86.3 85.09 88.57 100.43 113.45 117.39 111.59 103.77 94.53 82.54 73.86 67.08 57.15 50.44 44.7 37.43 31.99 24.95 19.47 15.31 11.37 6.26 2.23 .31 .08 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 135 132.51 124.31 115.78 105.89 101.74 94.23 89.62 86.01 81.68 80.49 85.64 94.76 103.56 104.72 95.23 88.2 80.22 73.99 71.22 65.63 58.53 47.22 39.44 33.56 26.87 23.51 18.16 14.35 11.35 7.28 2.84 .36 .09 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 134.28 131.17 123.79 112.06 105.92 98.19 91.63 88.34 82.35 80.81 78.69 80.71 87.14 93.35 94.08 90.11 88.47 90.55 85.37 83.3 69.88 60.77 50.1 40.59 33.03 27.53 23.1 19.11 15.3 12.19 7.41 2.93 .42 .07 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.48 130.28 124.69 110.61 104.57 96.95 88.7 85.81 80.03 81.41 76.04 76.66 83.2 91.99 96.48 100.5 110.26 108.25 96.72 85.43 73.12 61.26 51.18 41.12 33.06 27.74 23.83 20.52 16.35 12.6 7.97 3.39 .61 .06 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.99 129.29 122.96 110.46 105.46 98.82 90.79 82.77 79.47 75.85 73.19 75.93 86.96 99.73 112.55 123.71 121.8 114.59 99.3 83.38 71.97 62.24 50.03 42.06 36.58 29.55 25.58 20.73 17.76 13.14 8.32 3.94 .73 .08 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 134.11 128.7 122.27 113.73 104.07 96.51 89.17 82.06 78.82 72.04 71.05 74.92 91.81 114.98 125.55 130.48 125.65 112.82 97.36 82.28 70.02 59.85 51.47 44.21 38.42 30.87 27.45 22.8 18.25 14.5 9.74 4.55 .97 .08 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.56 127.28 121.34 112.09 103.81 96.5 86.69 81.01 75.67 69.43 66.9 77.84 102.12 125.36 129.59 128.16 121.5 105.47 93.3 79.47 70.12 62.1 54.34 48.47 41.62 35.92 29.61 24.29 18.97 15.2 10.43 4.77 1.09 .09 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.99 127.41 121.22 112.59 103.4 94.77 86.44 81.09 72.16 66 66.24 81.32 109.98 126.52 129.36 119.82 111.42 96.12 89.93 80.46 70.05 63.9 57.93 50.84 44.51 37.43 31.19 25.13 19.57 15.91 10.88 5.11 1.35 .09 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.27 125.37 117.97 110.53 101.8 93.28 86.7 77.05 68.87 63.14 65.12 87.4 115.3 126.18 121.68 110.6 100.31 94.74 88.8 79.92 75 67.01 60.27 55.47 46.92 40.19 33.11 27.54 22.48 16.5 11.6 5.34 1.49 .09 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 132.39 125.31 117 109.69 101.97 91.05 83.68 76.26 65.75 61.51 70.79 94.3 116.45 118.1 110.13 101.43 94.04 91.51 85.98 81.73 77.11 71.64 64.13 59.54 49.84 41.97 34.89 28.65 22.93 18.55 12.06 5.45 1.68 .09 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 132.02 124.82 116.55 110.38 102 90.7 83.21 72.54 61.86 60.09 79.33 101.06 113.18 108.54 101.81 96.06 91.53 88.43 87.47 83.68 79.16 72.45 68.16 60.36 51.19 44.96 37.65 30.43 23.65 17.84 12.9 6.46 1.81 .11 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 132.86 126.3 115.97 110.5 99.22 92.09 83.57 70.99 59.61 66.95 85.64 107.59 106.87 99.36 96.03 93.52 90.04 85.04 85.95 85.65 81.81 78.53 69.91 62.35 55.68 47.77 39.7 32.26 25.8 18.73 12.35 6.75 1.71 .11 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 132.63 124.14 114.53 108.68 98.63 89.75 82.03 65.55 61.85 74.34 92.22 103.53 101.01 95.57 92.14 89.99 90.18 87.83 87.58 85.79 84.27 79.65 74 66.59 58.19 49.42 42.02 34.3 26.57 20.4 13.75 7.09 1.7 .13 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 132.54 124.83 114.88 108.72 98.98 91.03 78.37 63.63 62.2 81.79 100.9 100.43 94.33 90.71 91.31 88.58 89.26 87.13 88.87 87.31 85.88 83.19 76.55 68.62 60.99 51.84 43.24 35.83 29.4 20.46 13.75 6.99 1.71 .13 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 131.79 125.02 114.41 108.72 99.65 89.59 75.6 65.29 66.4 89.14 104.22 96.05 94.09 91.19 89.69 89.28 89.67 89.29 86.97 89.78 86.43 85.72 76.71 72.47 61.85 53.78 43.82 37.65 28.4 22.3 13.41 7.28 1.79 .13 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 130.17 125.99 114.74 107.83 98.73 89.33 74.69 64.12 71.59 96.01 102.25 93.81 91.35 87.91 89.66 90.06 89.95 91.43 90.25 88.97 90.91 85.11 80.72 73.84 64.38 55.11 47.16 37.75 29.87 22.02 13.27 7.49 1.64 .13 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 129.4 125.53 114.95 107.23 97.43 87.91 71.17 64.2 77.62 100.21 100.73 93.15 91 88.9 90.53 92.22 90.49 92.1 90.78 92.13 90.69 88.94 82.56 73.68 64.98 55.5 48.11 40.24 31.8 21.95 14.06 6.62 1.55 .14 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 129.36 125.01 116.97 105.11 97.82 86.92 69.72 62.84 84.46 103.88 98.34 92.84 88.98 89.78 89.25 92.41 90.85 91.05 92.41 90.71 92.72 92.47 82.09 75.31 67.12 58.49 49.64 42.27 33.29 22.44 13.84 6.37 1.43 .14 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 129.74 123.76 116.2 107.5 98.66 84.65 68.34 66.05 90.89 105.4 98.08 92.18 90.48 90.47 93.26 91.78 91.09 90.83 93.78 93.04 94.61 91.72 84.75 77.47 67.7 59.33 51.85 41.83 32.74 23.48 13.11 6.72 1.19 .12 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 129.2 124.44 116.34 108.32 97.75 84.17 68.93 68.5 96.03 104.91 97.45 91.15 92.86 92.08 94.66 93.16 92.29 92.09 95.13 97.89 96.49 92.1 85.92 77.02 70.74 61.57 51.9 44.11 33.57 22.92 12.97 6.3 1.09 .13 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 129.61 124.25 116.52 107.06 97.54 84.1 65.71 70.6 101.74 103.02 97.64 92.39 93.38 94.09 95.53 95.18 92.95 92.9 96.98 97.94 97.98 93.75 88.14 79.17 71.12 61.08 53.16 42.98 33.17 22.74 13.58 5.74 .99 .13 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 129.57 122.38 115.63 105.85 96.59 84.13 64.38 72.53 104.48 103.07 97.99 98.07 93.9 94.75 95.13 93.98 93.86 96.38 96.77 100.87 98.15 94.92 88.07 80.46 72.18 62.26 54.68 45.08 33.13 21.82 13.01 6.28 .89 .12 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 131.1 123.21 115.29 106.09 96.91 79.75 66.26 78.09 104.65 101.39 97.17 95.03 95.82 96.46 98.72 95.67 95.37 95.72 100.36 101.42 100.87 97.08 90.29 82.96 74.38 65.04 54.99 44.75 33.52 20.51 12.84 5.68 .75 .13 .06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 131.28 123.61 114.37 106.53 96.52 77.4 66.15 80.78 107.79 101.57 97.85 97.29 97.29 100.99 99.46 97.03 95.32 100.17 101.18 101.85 99.34 97.91 91.27 83.84 73.64 65.22 55.22 44.08 33.53 20.5 11.86 5.94 .62 .14 .06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 131.63 123.61 114.09 106.44 94.71 75.33 64.45 83.99 107.26 103.89 97.97 99.1 99.27 99.61 99.07 96.4 98.59 101.09 103.01 102.56 103.18 98.97 91.12 84.86 75.2 67.11 55.24 43.41 32.15 21.41 12.18 5.67 .65 .14 .06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.55 125.04 114.88 105.59 94.42 76.04 64.57 88.94 106.79 101.56 96.59 97.55 98.07 102.27 99.76 97.02 99.31 102.1 103.92 104.61 101.05 97.8 93.45 84.9 75.4 66.55 56.45 44.91 32.26 20.02 11.65 5.36 .56 .14 .06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.23 123.62 113.15 106.03 97.06 74.6 66.58 90.49 108.61 102.06 97.37 99.49 100.11 101.46 99.41 99.24 99.9 101.75 106.55 105.44 104.32 96.59 92.06 84.86 75.96 66.03 56.5 44.22 32.85 20.83 12.05 4.92 .51 .14 .06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 132.76 122.15 112.4 102.49 95.11 73.66 67.4 92.15 107.74 102.5 98.83 98.47 100.74 102.58 98.28 99.7 103.19 103.48 105.71 106.88 101.87 99.02 93.3 85.53 75.35 65.06 56.51 43.59 31.51 18.24 11.72 5.07 .41 .14 .07 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 131.86 121.41 112.69 102.02 94.33 73.93 66.78 94.69 108.33 102.22 98.27 100.5 100.95 102.89 101.37 100.4 100.87 105.43 106.27 105.54 102.79 94.91 92.7 85.69 75.83 66.62 55.14 44.69 31.67 20.74 12.66 4.75 .5 .14 .06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 132.02 120.91 112.64 100.82 92.91 77.47 66.3 94.93 108.52 100.98 99.24 103.1 101.61 99.91 99.79 104.09 102.06 104.84 106.8 104.35 101.25 95.94 89.19 85.48 76.62 64.68 54.26 43.69 32.24 21.74 13.5 4.76 .38 .15 .06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 131.86 121.41 112.69 102.02 94.33 73.93 66.78 94.69 108.33 102.22 98.27 100.5 100.95 102.89 101.37 100.4 100.87 105.43 106.27 105.54 102.79 94.91 92.7 85.69 75.83 66.62 55.14 44.69 31.67 20.74 12.66 4.75 .5 .14 .06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 132.76 122.15 112.4 102.49 95.11 73.66 67.4 92.15 107.74 102.5 98.83 98.47 100.74 102.58 98.28 99.7 103.19 103.48 105.71 106.88 101.87 99.02 93.3 85.53 75.35 65.06 56.51 43.59 31.51 18.24 11.72 5.07 .41 .14 .07 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.23 123.62 113.15 106.03 97.06 74.6 66.58 90.49 108.61 102.06 97.37 99.49 100.11 101.46 99.41 99.24 99.9 101.75 106.55 105.44 104.32 96.59 92.06 84.86 75.96 66.03 56.5 44.22 32.85 20.83 12.05 4.92 .51 .14 .06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.55 125.04 114.88 105.59 94.42 76.04 64.57 88.94 106.79 101.56 96.59 97.55 98.07 102.27 99.76 97.02 99.31 102.1 103.92 104.61 101.05 97.8 93.45 84.9 75.4 66.55 56.45 44.91 32.26 20.02 11.65 5.36 .56 .14 .06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 131.63 123.61 114.09 106.44 94.71 75.33 64.45 83.99 107.26 103.89 97.97 99.1 99.27 99.61 99.07 96.4 98.59 101.09 103.01 102.56 103.18 98.97 91.12 84.86 75.2 67.11 55.24 43.41 32.15 21.41 12.18 5.67 .65 .14 .06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 131.28 123.61 114.37 106.53 96.52 77.4 66.15 80.78 107.79 101.57 97.85 97.29 97.29 100.99 99.46 97.03 95.32 100.17 101.18 101.85 99.34 97.91 91.27 83.84 73.64 65.22 55.22 44.08 33.53 20.5 11.86 5.94 .62 .14 .06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 131.1 123.21 115.29 106.09 96.91 79.75 66.26 78.09 104.65 101.39 97.17 95.03 95.82 96.46 98.72 95.67 95.37 95.72 100.36 101.42 100.87 97.08 90.29 82.96 74.38 65.04 54.99 44.75 33.52 20.51 12.84 5.68 .75 .13 .06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 129.57 122.38 115.63 105.85 96.59 84.13 64.38 72.53 104.48 103.07 97.99 98.07 93.9 94.75 95.13 93.98 93.86 96.38 96.77 100.87 98.15 94.92 88.07 80.46 72.18 62.26 54.68 45.08 33.13 21.82 13.01 6.28 .89 .12 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 129.61 124.25 116.52 107.06 97.54 84.1 65.71 70.6 101.74 103.02 97.64 92.39 93.38 94.09 95.53 95.18 92.95 92.9 96.98 97.94 97.98 93.75 88.14 79.17 71.12 61.08 53.16 42.98 33.17 22.74 13.58 5.74 .99 .13 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 129.2 124.44 116.34 108.32 97.75 84.17 68.93 68.5 96.03 104.91 97.45 91.15 92.86 92.08 94.66 93.16 92.29 92.09 95.13 97.89 96.49 92.1 85.92 77.02 70.74 61.57 51.9 44.11 33.57 22.92 12.97 6.3 1.09 .13 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 129.74 123.76 116.2 107.5 98.66 84.65 68.34 66.05 90.89 105.4 98.08 92.18 90.48 90.47 93.26 91.78 91.09 90.83 93.78 93.04 94.61 91.72 84.75 77.47 67.7 59.33 51.85 41.83 32.74 23.48 13.11 6.72 1.19 .12 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 129.36 125.01 116.97 105.11 97.82 86.92 69.72 62.84 84.46 103.88 98.34 92.84 88.98 89.78 89.25 92.41 90.85 91.05 92.41 90.71 92.72 92.47 82.09 75.31 67.12 58.49 49.64 42.27 33.29 22.44 13.84 6.37 1.43 .14 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 129.4 125.53 114.95 107.23 97.43 87.91 71.17 64.2 77.62 100.21 100.73 93.15 91 88.9 90.53 92.22 90.49 92.1 90.78 92.13 90.69 88.94 82.56 73.68 64.98 55.5 48.11 40.24 31.8 21.95 14.06 6.62 1.55 .14 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 130.17 125.99 114.74 107.83 98.73 89.33 74.69 64.12 71.59 96.01 102.25 93.81 91.35 87.91 89.66 90.06 89.95 91.43 90.25 88.97 90.91 85.11 80.72 73.84 64.38 55.11 47.16 37.75 29.87 22.02 13.27 7.49 1.64 .13 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 131.79 125.02 114.41 108.72 99.65 89.59 75.6 65.29 66.4 89.14 104.22 96.05 94.09 91.19 89.69 89.28 89.67 89.29 86.97 89.78 86.43 85.72 76.71 72.47 61.85 53.78 43.82 37.65 28.4 22.3 13.41 7.28 1.79 .13 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 132.54 124.83 114.88 108.72 98.98 91.03 78.37 63.63 62.2 81.79 100.9 100.43 94.33 90.71 91.31 88.58 89.26 87.13 88.87 87.31 85.88 83.19 76.55 68.62 60.99 51.84 43.24 35.83 29.4 20.46 13.75 6.99 1.71 .13 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 132.63 124.14 114.53 108.68 98.63 89.75 82.03 65.55 61.85 74.34 92.22 103.53 101.01 95.57 92.14 89.99 90.18 87.83 87.58 85.79 84.27 79.65 74 66.59 58.19 49.42 42.02 34.3 26.57 20.4 13.75 7.09 1.7 .13 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 132.86 126.3 115.97 110.5 99.22 92.09 83.57 70.99 59.61 66.95 85.64 107.59 106.87 99.36 96.03 93.52 90.04 85.04 85.95 85.65 81.81 78.53 69.91 62.35 55.68 47.77 39.7 32.26 25.8 18.73 12.35 6.75 1.71 .11 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 132.02 124.82 116.55 110.38 102 90.7 83.21 72.54 61.86 60.09 79.33 101.06 113.18 108.54 101.81 96.06 91.53 88.43 87.47 83.68 79.16 72.45 68.16 60.36 51.19 44.96 37.65 30.43 23.65 17.84 12.9 6.46 1.81 .11 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 132.39 125.31 117 109.69 101.97 91.05 83.68 76.26 65.75 61.51 70.79 94.3 116.45 118.1 110.13 101.43 94.04 91.51 85.98 81.73 77.11 71.64 64.13 59.54 49.84 41.97 34.89 28.65 22.93 18.55 12.06 5.45 1.68 .09 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.27 125.37 117.97 110.53 101.8 93.28 86.7 77.05 68.87 63.14 65.12 87.4 115.3 126.18 121.68 110.6 100.31 94.74 88.8 79.92 75 67.01 60.27 55.47 46.92 40.19 33.11 27.54 22.48 16.5 11.6 5.34 1.49 .09 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.99 127.41 121.22 112.59 103.4 94.77 86.44 81.09 72.16 66 66.24 81.32 109.98 126.52 129.36 119.82 111.42 96.12 89.93 80.46 70.05 63.9 57.93 50.84 44.51 37.43 31.19 25.13 19.57 15.91 10.88 5.11 1.35 .09 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.56 127.28 121.34 112.09 103.81 96.5 86.69 81.01 75.67 69.43 66.9 77.84 102.12 125.36 129.59 128.16 121.5 105.47 93.3 79.47 70.12 62.1 54.34 48.47 41.62 35.92 29.61 24.29 18.97 15.2 10.43 4.77 1.09 .09 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 134.11 128.7 122.27 113.73 104.07 96.51 89.17 82.06 78.82 72.04 71.05 74.92 91.81 114.98 125.55 130.48 125.65 112.82 97.36 82.28 70.02 59.85 51.47 44.21 38.42 30.87 27.45 22.8 18.25 14.5 9.74 4.55 .97 .08 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.99 129.29 122.96 110.46 105.46 98.82 90.79 82.77 79.47 75.85 73.19 75.93 86.96 99.73 112.55 123.71 121.8 114.59 99.3 83.38 71.97 62.24 50.03 42.06 36.58 29.55 25.58 20.73 17.76 13.14 8.32 3.94 .73 .08 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.48 130.28 124.69 110.61 104.57 96.95 88.7 85.81 80.03 81.41 76.04 76.66 83.2 91.99 96.48 100.5 110.26 108.25 96.72 85.43 73.12 61.26 51.18 41.12 33.06 27.74 23.83 20.52 16.35 12.6 7.97 3.39 .61 .06 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 134.28 131.17 123.79 112.06 105.92 98.19 91.63 88.34 82.35 80.81 78.69 80.71 87.14 93.35 94.08 90.11 88.47 90.55 85.37 83.3 69.88 60.77 50.1 40.59 33.03 27.53 23.1 19.11 15.3 12.19 7.41 2.93 .42 .07 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 135 132.51 124.31 115.78 105.89 101.74 94.23 89.62 86.01 81.68 80.49 85.64 94.76 103.56 104.72 95.23 88.2 80.22 73.99 71.22 65.63 58.53 47.22 39.44 33.56 26.87 23.51 18.16 14.35 11.35 7.28 2.84 .36 .09 .03 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 135.13 132.73 124.42 119.33 107.61 103.06 95.43 92.14 88.04 86.3 85.09 88.57 100.43 113.45 117.39 111.59 103.77 94.53 82.54 73.86 67.08 57.15 50.44 44.7 37.43 31.99 24.95 19.47 15.31 11.37 6.26 2.23 .31 .08 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.59 134.55 124.18 120.55 110.95 105.42 99.06 93.17 90.31 86.43 87.76 92.67 107.2 126.25 132.08 127.8 121.85 116.5 107.54 96.66 90.39 80.05 75.07 64.3 56.25 44.22 32.24 23.21 16.95 12.03 6.4 2.46 .23 .1 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.78 135.58 125.3 120.19 113.16 105.74 100.82 94.25 92.98 91.31 91.25 101.19 115.47 131.3 143.65 142.89 141.69 138.24 137.17 135.45 128.35 125.28 119.79 111.69 92.1 71.21 47.47 30.75 21.59 14.17 7.11 2.26 .27 .1 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 133.7 133.62 126.06 120.76 115.13 107.71 102.99 98.81 96.43 96.37 95.17 103.44 123.65 144.8 155.7 155.75 156.38 155.41 158.47 165.31 170.78 172.81 173.48 163.92 133.97 96.28 63.26 40.34 25.37 15.77 8.35 2.49 .28 .11 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 135.17 134.1 126.55 122.18 116.98 109.62 102.69 103.59 95.92 97.23 101.58 108 130.36 154.93 168.86 171.04 168.86 172.46 179.22 186.98 196.87 208.92 216.52 207.44 171.45 122.16 75.9 45.89 27.9 17.77 9.04 2.63 .29 .11 .04 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 136.72 132.93 127.82 123.77 118.18 112.07 105.17 102.54 101.07 101.46 103.99 116.22 137.54 163.98 181.31 183.67 184.97 187.33 197.43 207.5 227.7 242.94 255.89 244.09 200.57 136.62 83.64 50.47 30.18 18.12 9.29 2.89 .29 .12 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 137.3 137.48 134.5 129.97 126.75 120.5 113.85 110.06 106.68 105.16 103.02 108.31 122.95 145.38 174.14 194.05 198.1 197.69 206.18 214.47 232.6 251.44 274.31 290.21 283.08 228.5 158.3 92.01 53.12 31.99 19.68 9.88 3.01 .35 .11 .05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ]] JPEG MS_LNPLUS_40_AM19L_10000_722_8G1_ETDD.jpg /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8S EhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEU Hh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAAR CAQABAADASIAAhEBAxEB/8QAHQABAAICAwEBAAAAAAAAAAAAAAcIAQYCBAUDCf/EAF8QAAEC BQEDAwoNDwoGAgMBAQABAgMEBQYRBwgSIRMxQRQVFyI3UWFxc7EWGCMyNnJ0gZGTssHRCSQl MzQ1OENSU1RiY3WSJidCRFVWg5Sh4ShFRmRlgqPCR1eEovH/xAAXAQEBAQEAAAAAAAAAAAAA AAAAAQID/8QAHxEBAQEAAwEBAQEBAQAAAAAAAAERITFBAhJCUWFx/9oADAMBAAIRAxEAPwC5 YAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHRZWK W+qOpbJ6As81u8sBHduid/B3XZ73DBBNCwm1fUMp/wAtTpCWp3AQBQAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABh64T3 yIqnqLWpbWt1osbC6hRGYXd48fCS5E5k8aFca8i+mif3sQyxmrHtVcrnoMnFqrvOQ5EaAAB8 J2alpOWfMTUdkGC31z3rhEK+UW47eTagnp1a5I9TLT0a2KsRN1Xd7PfJp1BovX20KhTEcqLF hqqL4kPzRo9FnI2rUOi78Te647i8VzjewWM1+pUrMQJmAyPLxWRYT0y17Vyin1PItClJR7ck acjs8hDRD1yNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABoF+au2PZ02snWavChTScOTXnA3 /Kd8xvJ30IBn9qKxoDV5GLCjce+eNObWdrwUVYMiyLjm7YuJqy6Ki8yoZRUXmUqnG2w6PDT1 KhNf/wC6ky6Iar0bUymxY9Pa2DMwURY0FFzujDUixHshtVz3I1O+p8EnpTd+6oOfbHl3tRp2 uUGLT5GpOkIz1ykZqZVCI26JXlhcakTKoq/myFTes9K9E1B8PbGVnpTomoX8RCHYSvFOPZHm U/wx2E7xROOpEwn+GU2pu6ulcL9dQfB2xlZ6U/SoP8RCHYTvHHdImMeTMdhO8M8dSJj4sG1N /V0rx+uoP8RlZ6UxwmoX8RB6aKXh/wDsmY+LHYUvDGOyTMfFg2pv6uld77qg49sZSelMLmah Z9sQf2E7xT/8kTHxY7Cl48/ZImPiwbU3rPSuOE1B/iMrPSmPuqF/EQh2E7xxjskTHxZjsJXk icdSJn4sG1N/V0rvfdUHHtjPV0pn7qhY9sQh2EryTiuo8z8WE0SvLHDUeZ+LBtTc2elf6U1B XxOHV0rj7qg/xEI9hO8f/wBkTHD9mY7Cd4pz6kTHxYNqb+rpTj9dQfB2wbPSmOM1Bz7YhDsK Xh/+yZj4sdhS8P8A9kzHxYTam/q6VxwmoOfbGerpTH3VCz7Yg9NE7xXm1ImF/wAMz2E7yz3R 5n4sLtTd1dK5+6oOPbGerpTPCahY9sQh2E7y/wD2PMfFmE0UvBP/AMkTHxYNqb0npXjmag+D tjPV0pu/dUHPtiDuwrd+O6TH/gHYWu/GOyVH/gBtTgs9K5+6oOPbGVnpTP3VC/iIN7C13Z7p cb+Aw7Rq628XanREx32g2pz6vlM/dUHHth1dKbv3VBz7Ygd+kNyM9fqk5M+BDpzGmdZln7kb VhzVXmTCBNqwaz0rnhNwf4jKz8plMTUH+IrXHs2LAcrIur6tVP1TpRqDLwWLymsypjp3Bhq0 CT0rnjNQce2HV0px+uoPg7YgWkaS3JVpJk3T9T40xAcnB7WZO52Ery511HmfiwbU39XSmfuq F/EY6vlOP11B8HbEI9hK8ufsjzPxZjsJXjjPZHmMeTC7UwXLPzEC3pucpz4cWPBhq9uOKcEy fn7UtabrjarxK86BBSoJG5NGIzhhq4TgXe06sqr23SZ2SqtxRKw6Ya5Gq9uMIqYKY1qxXSm1 NLUNzMwVmmvfw4YVciM1eqx63Gqdm0uq1N0KBNTUBsR7eZMnsLPSnRNQv4jQNQ9O6rXpWRlq JcsSiwpSFyeGNzvGnpoleeO6PM/FBram5J6V3vuqDj2wWelc8JqDj2xCK6JXnjhqPM/FjsJX l/8AseZ+KBtTZFnJN7XN6qhYVqp64qfRNOIDNqKYesaCkvDhpMo7PDOckiJojeSf/keZ+LOo zQC5WVF1RbqBHSac3dWJyXHAS7U8Q5uW38JNQlyiJjeO2ioqZTihBsjoveMCehTD9RJmI1i5 VvJ85NkhBfLyUGBEicq+GxGuf+UqdJFj7AAKAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA4q7Gc4TvZU5IuUyABh7 msYr3KiNRMqqmuU697Yn64+jSlYgRZ5qqiwUXimANkANH1a1JoOntI6rqsZnKu4w4KrhXIBv CceYGkaSakUTUGi9XUuIxr0Vd6Ei5VEN0jROThPiYyjWq74AOSuwuMKviQwjsrjdcnvFPdUd qWqSN1TVLolPiIyA5YeWrnKouDR5jaP1RnHfWUKaZn9UuM/pfWbe5kvGcnDdYqop+Z2vkd1S 1qq0OcjOfD5fCZXKNN0i6va71KE6FAize5ETCpudBos1pvqbcdRjVKNQZqPMR1y+JjnUJbrc pTS3TxklCmJ6tNVXwEiK1kZMo7vGrWNQtPY17TkhcMzHbSmORIT4aplUPvKaBaozGPsBOoi/ rHrSWzTqJHVEjU+Yg575UctUaforIW5EhWjFqEWpo/gsXCtwdvY7viQs27J1alH5GXmMJz4T B6FN2UrvjuRJiPEgp4UybNTtjypPRHzVyNgJ05bjAVOdQ2htO5OI5Hzj34X+iqKeXMbU2m8D Kb807HeRCAbm0R08tZ0RtW1Bl4kyzOYO6qqqkbVmj0KDCiOplOdMwWf1jKoip3+Iw2rcR9rb TpjFVsGecvtDz5za9sbkcy8rOK/9ZhSum02brVSWRo9PiTEZVw1rUJFpWzxqTPyqR3UaYgb3 FEVBhtT+u19bW4uJSY3vaHmrtfyO+7Em7HR6mRXK7MF9xGtWJAiw1Xny3mPTltlK7XxkbEmX savO5WkNqQE2wJHpk3fFj04Eh+hu/gNWkdkGtxnOSNXWQUTmVWoerK7HEysP1a5oSO9qgOXs QNsCmLETlZR2504Yeiza/tVHsR8tH3c9thh4sHY4gYbylzwuHP2hydsoW1LZWZumWwnPlBwc tsbte6eZT1Cc/hO/L7WOm8VURUnG8M8WoR7E2cNP5ZiumLrlUTv4OpH0D0xRN1bxlGr4hhtS o7ap01ROL5tf/VDqR9rbTiG1d1k6qp+qRczQ7SeDGRIt7Si450wduFpVofLuVY92STsc4w2t yndr+xkhZlZebV6/lMPGndsGi8onUsq9W447zOk6MrZGzrLQ16puKRiZ5l4neWk7L0mxrVmJ GZd30coXXnTG2Cm85JeRynRmGebG2v64uUgUuG5ej1I92LVNmeViK2HTJSJu8zt5eJ0Il77P Ms5ywbelnKnD1y8QnLxou11ebm/W9GguXyJ14u1bqVFw6BQ4W7zcIKnsxNU9EJSH9bWlBiZ6 EcfJdddLJZEbLWMx6eAo8GLtL6vR3ubBoSYcnRBU8+LrdrPONfDZRZrLuPawXG5wto6zIMbM rp3v45lT/wD4ehK7T8qxVWQ01c1/Q7H+wEYP1F1um4eW0mptTPRCefCLcWuE05HdR1Vi+Bjy WvTG3bNw0ZT7DiNXPQ1PoPLurXfUynU7rhMWvEkJZFTL3NQIjGdj62MgRpmZjVOBChs3nK5X IiIfO3qVrTckgs3IztUWXf616vfh3iJTuvWatXRpbBlOpORn1ib02iNTLoJpdn6l6mTkqlMt KfWTpkj2rWoxF4AfBulWuE21rnVSoNz34jjus0G1pj7jotbjJvcyvjOPTmL31nhNVX3duY4r 6m3geZUdRtT0lHxZq/cbicG8mnEGx3PSyarvVHR7klk3k53TKkU6qWbXrDqTKbUq02bjvdhU gxt7CnoRtYNRI8OIyNc0RWtcuFxznd0Stmq6o6pS8WqPfNwWRUWZiO5sAW52NKTWqRpVitxI r3x4yRIO+qqu4qcDZ7+1bpdo1haZNUeqTT0XG/Agq5pvlGkYdNpkvIQERsKXhpDYiJ0Ic5mQ k5h29Hl4cRe+rUUy3nCHnbQ1DRcehuu49zKZbtC0H+7lex7mUlvrRTsfccH+BDyKtP2pSpyX k6i6Vl48y7chMc1MuXvFTlHPph6Ei+xuu8/6MvMRnP3tbk3q669H25W93Dd362XOULTPp1JZ AWO6WgNhtbvK5WphEI2rermk9MmXS0WpyT4zFw5qMzgFjos2hKC+Lueh2u4c5EReplJYoNUh 1alwp+HBiwmREyjXphUNKsy/tNrrnGydGn5KPNLzQ9xEUkOC1rWI1rUaicyIRY5AGjatakUf T+ipO1DdiRnruwoGeL17wVvIK0rtM1uFLNn5mwJqFIO48sr1xjvknadax2ZeEvCbK1ODBnXr hZdV4ooxNiSAcUcioq5THfRTkFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAcXuRrVVV5kypDGsG0JbFgTSSSMbU5tF7eFDfhWhLcTSDR dHNR6dqNbr6vT4CwUYqI+Gq5VFU2m4aj1roc7UNxXdTQliY74Neiq4TIKLQtpS93aqvlVmnd almNxsvjmRVxzl36ZMrM0uWmV4OiwWv+FMjCXXOam5aVhOizUeHAht53RHI1PhU+dPqMjPor pGcl5lidMJ6O8xXHbqrlUp1pysrIzToMKOxViI1cKvE0rYArdTma9O02ZnHxZdsBXo1yqvEu JvK5yqiJlegiy89eLFta54dv1KZirNRFRuYaZair31JMiL6iuV47i+Y/MHWyMkXVWefvuXdm Xcc83FRC1+nNHqMrU6dBnpOJykCMmWORc5Nb1avKFZFnzFde1XqzLWNxlFd0HmbOr0fo7Qnq 7e9R51U1TbNjLB0diuh9MdEHq7w1LQHaSnb6u9aFWJODBWK/dgLCbz+Msyru938H5ubJERGa z0pq8d+Y4H6QqmF589sKkqmO2VqbdFGvbrNSZ6JKwpdyKiw3qir4yctlO8qpeOnSTVUVHR5d yQ97PF3DnUqfttLnWWfTP5JYjYUipE0wnMcN2YRP9B4k7S5q7MRpTTWvTMvEdDislHK1yLhU U/ObTiv1eDqrAnG1CYWLEmERy768cqfolrdEazSe4nrxRJNx+aljRdy/5KK3pmW/KEPp+qdO e59Pl3KqqroDFXx4Kg/VDXO6vojVVd1YDsp75bykuRKXJL0rLs+ShTz6oe6J19obf6HIO86i LenZ+p8RH9V1CFn1NIOUT3y388qdbphU5uSd5lKR7DFz0a36pU3VqoQZOD1PwdEXCEo6sbUN s0WBM0632JUor2qxsWG7gmeApLwr1pzT5WrbRUzBmILI0FJ1VVj0yi9sX4hWdazM8nb1OaqI nNBQpFspW5Wbo1XmLj6miQpVYixliKnBVznBftic6550FPl5UG3aLCxydHkmeKGh3oMjKQOE GWhMTwNwdk4ue1rd5VRGpzqqkaZRERMJwQ685MQJZixZmZZAhpzue7dT4VIt1M10tS02OlZS YZValvbqSsJe2yRT1v1e1jnnpOxJi3qBFXtIcRvO3xlxLUlak6+W1bcWJTqUsaqVPHaNgN5R ufeI0SDrXq4rZhXJQ6ZnjuPWG/d8RMGmmiVoWekOYbKJNVFqdtMPXeyviUk6FCbDbuta1re8 1MBMtQfaezzadFVtVrs3NVWZhM5SN1Su+3hxXnIK1fq0PUvUqV0+sekSsnTZeKjHR5eHuqvQ u8qFqde7jW19NKlUIbt1XMWFnxopCWwxa7OpKldczC5SNNq5WPcmVzkFniXtH9H7asCiQ4TJ SFMz6tR0WNFaiq1enC942Gv39atDe2DOVaXR6ru7sOKnAjPa01Vm7FttKVSlWFU5xm82Ki8z ekpFKSl13ZNTM5KwZufiN7eK5jl7UJbnT9QqLWqXV4MOLTqlAmGvbndZERVQ5XG2eSgzyU9c zawV5HK/0j83NJtRK9p/eMB6RozWNiJDjwXOVedcdJ+j9rVmWrtClKpKxEiw4sNqqqdC44iz Fl1+fl66j6lSF4VKlz1RmoPJR91/JxF4eI+63bcE1AZEl61cUXmy6G5ypkk7autun0TUiQnm QWrBqEJ8SPw/pcTdtjuVolSsKLJTUhDiR4cw96PciL2ueCFZznFeeul5xoiOh1G6lavPjfPn Elb4mXKkKPcbkX8trz9C5OlU2AxORkoDe92iH36lg9EGAn+GhNX8vzvhWZqTOtRjFqKtd+Xv HqS2jWqNRho9HuYnN2zlQv8ANgQ0T7VCz7RDlybUTg1qe8NPyohK7NWpk69rnTbGqvOqxMHf l9lG/FVeqJ6Auf2xeNEROZEMOairxGr+VMJLZGq8RGpPTjETp3YhsFP2O6GrczlQmd79Vxa5 GIiKnfM7qDT8q2SOyHZLN1Y87OO7/E9eX2VtOpfhvzT/ABohPqIiJhANXIhqnbOensq5FbKr Ex+UxDY6fo/YUp2jaHKRPC6ChIQIY1WV06sqX9ZblO9+Ah3G2da8P7Xb9OTxQUQ94BceRCt6 hQOLKRIw0TnVIaJgp3tOXXL3XqDDtamtSDT6eqsmVh8Gq5OYsjtD31AsjT6bmXcJqcY6DL4X jv44FLbepdVqsCLEhtfNVCp5jxlROLFTjxNRj6qd9nOzaTPUyfq9xRpSDDmoCybYUV6IqN5t 5EU1msbOUKXrs1EoN4wJWnxX5RGziNXBDdDqM7XqhMQKzdzKN1LmGjHoqZ3eB6qyFGfBekfU iCq97LuIRJkts7Q4jlSdv6GqeCeQ+qbNFvRHo2avWCsPpzONIbm5OgwpGNGberY0VqLuNR7u JoaVSeVz4i1CYe1q8PVFBrdtdrHt6z7pl6BbVRfUHxWJlyPRyby+It9sh6cwbSsSFU5mCrZ+ fYixN5OLSrmyxYMxfuokKbnVespKKkXlH5ciq1eY/ROVhMgwGQoaIjGNRERExzErUj6oACNM PRVTh3yu20c56anWajXO4zycE6SxK56FIV2h9PLjumo0mq23O9TTchG5Rrt3PEsSvvtQVOpU 3SJqU+JGgRI0WHDfEZlFRq8FPL0f0UsxLUlqhOQm1GYmE3nxIrUdxXwmm3TY2ttzUV1IrFfW NKuVF3eS6U5iXdn617jtO0WUmvzqzSw1VWZTGAz3UT7RGmdGsWnwL1tmYdTpyBMMZyUJUYj0 V3HgnOWJsaoxKpa1PnYzXI98Bm9lOdcc5Bd4adX3qFqO9ten3QLdlo+YUJzeDkRcoWHpkpDk ZCBKQsJDgw2sTHgQVY+787vAqttDMYuvNEWvI5aMsWEjN9PU97pzngWrNQ1QsSg3zQokjWoD V5NFdCi5wrHd/Ii2a4ViPYsGhx0mHUR0m2EuGI5ipzFV9F9KZC+p6u1CRmpunIyYirKxZdd1 quReCZ7xttN2dJWbqXUS3vDmpVruMsj1zjvc5PNFkrO0xtmFTIUeBTZVOdXu9c7pUM99oToV U1e0sqsrSq1LtrFKmXYSMirFiNRF6Sy9LjrMSECO5qtWLDR6oqc2TpUKr0evQOXps5LzsJvS iIuD1kRETCJgNSAAIoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAABwivSGxXuc1rWplXOXCIYjxGwobokRyMhsTec5eZEQqZtSbQrYXLWlZ0xyj3 ZZGmIa5R2ehAlr2NpnaClqFAjW7bEVI8+/LHvavMvgVCuMppXed02lUL8qMOLEhIx0TMTO+v vEmbN+gNQumeZdt6NiNlFcj2QYucxelHJ4C5sCiUyHRHUdkqxJJYe4sJE50KzmqRbKutdv6b 0CoUuvJEY6NFRyIjeKYJVuralsKpWxU5CC+Py0eA5kPtOCqp7ty7MNj1WqRZ2DAbA5V285uT zW7KFmI9OLcdKZC8qTtqCpdC1nk3pB5dIm9jhjOS6lF2rLDlqNJy8V0blIUFjHYZ0omDdImz zp4ts9aEpaIrmpmLvc6mn+lRs3Kq1W4z3wmWIU2qdYaBqRAp8vQFiu5Fio9qtxxNf2WtSKXp ndUzO1xsRkGLA3MbvEs/a+zBYlMqbJuYl2zCN5mo47V47NlhV2bSZl5NJZyJu43gZXjxNrHT 5zHt34+FaqJ2ngKU31U2V675+rycJ7oEWO57VRvQql0PSoWanS34VNxt3Z809pdEiyS0xIzo iKiv3u+DLUS6L7Sdm2zp1TaFUXRUmZRm6/DcoeNtF7QFp3zp+6h0ZYrpl0VHYc3HAkWY2UrK fMRHwkaxirwbvLwPvSdlix5Wehx5iG2KxjkXd3gvKnmi1ywbK1Cp1eqUKIyBAi77st6PAXCT az0+z6+P3/WGy3ns92BX5SFCbTmwHQk7V2TUPSn2djnb8ITmKqa/3fK6gajT1dpUOLEgRMYw 3mwSxswa5W1p5aE3SK7yjYz4yPajW5J+sfZ3sK32ReUkGzL4qYcuTw69st2NPVKLMy8JsFsR yqrVcNMrVNUNpyyq7YNVo0gsVZibgLDblmEypUGjRZqm1aBWOpYvIwoqP31Yu7wXPOXdl9lK ymxGrERrmIvFM85JCaMWC62mW/GpDXyu6mcLxXHhBlqvb9r2agU6BBp9KhRokOG1iorV6EwR Jf8AdV5623XJtjUmKxUXch7sNd1EVS5lM2edLpHDodEy7PBVebvblnW7b/Cl0uFCxzKrUUau VTSY2Ur7hrCWlTMJsCLDasTMXC8edCTNMdk+h01rJ65ZiJFm2qirDTDmqWgxutw1PePOrNap NEllj1OegykPnV0Rw0yPnb1u0agSrJakyEvKQ2tRPU24VT1IkRkKG573NY1vO5y4RCGr52g7 So0dJaiqldmV4IyXd0kLan6i6u1uVWJ1NMUKjTTkRGxWc7VXvjDZFiNSNZLQsvfgzU2s3OKz 1OFLYiZd0JwIcmKvq7rJFSHS5brHRoa8YrXLDiOapvek+hVr0+Rka7WGuqVUisbG5Rz1VEVU zzKTZAl4MFm5ChQ4bMYRGNwDLUTaa6EWra0ds/Po6s1BzcviTbUdh3gUlqXgw4MFkKExsNjE wjWpwQ+iJgEXBEROYABUO7XUhMT2jU9Bl27z0iI9cd5Mmt7DtSlo2mjZJjsxoCu3073Em67q RBrVuz1NjQuUSNBcjU/WVFwUz0LuSa0f1inrQr6Ogys5F3Ec/gjEVc5KzeK9vb3ok6lYp9bh tixZVsDdc5UyjVUjzZy1boun0pOy1Xp8KMsWHhjlZneXvKXnvK26FfFrRKZUocOakZlu9Dei /AqKVNvDZKq8vPcrSanCiy8R67rGs9YgSxAd2VKHdOoEzUJGVbDSbmkVkOG3myveP0W0LoE5 b2m1Pp825Vi7qROK9CoRTopsySFr1KFV7imYVQmG9tDYiY3CxUV0OSlHP5mQWcyd5BVkVa23 IiRbnoEmxyco6XevDo4qe7sRyEdltzM6qO5JXuYiqnDOSu+0Bf8AO13VieRu+1klFdChOVMo 1FPQsbU+8LOoLaTQ7kl4Usr1iqnJZ4rzl8Z3nX6Do7CY3V+Ab/6rvgKMrtBagwYKudcUGI7w QjpemY1CauFqKLhfzZMa/cXz3/1XfAN/9V3wFFF2nb4RiL1VlU5/UzEvtS3o2JmK9z295GDD 9L2b/wCq74DOePMpSGJtVXU1EVJaK7/1PtI7WVfh56ppseIvgaMP0uwjubgplFzkpa7a5qze HWaZX3j0JXbCeyHuxrbm3v76DD9LgouVVO8FXCFQ27YrV4ehic+E7MHbElnJuras453eyMX9 RbNVwZKpwdr6X3u3tGdx4ztpteUxf+k53Pthh+otCfKYishQXxHuw1jVcq+BCtEHa5o78o+1 p5v/ALHg6ibUMOs2rM0qgUOblZ+YwxsRVzhF4KMT9Rpuvl5RL/1MjwJaM59IpWIjGuXtXPbz ob5obXLHs+Vj1G5JiD1RUu3gsTC8m3mVPARNYtm1OuS07S5Fjn1GExZuK9EzvI7jg0qmRqHR K/Pyt7UqbmYsOJhjEerd0rO86ny5LY0Crdci1WJV48B8R286HDRN3J1/Qfs+KuOusdf/AFQh 19x6X8zbYns5/PKcJy69NEknwYFpT6R1TDYnLLhFAmJLW2ekfu9dJnh+ohCmrsrake5pej2I sWPDV+6qq3ivE0Z8SGixorVisRzlViK5eCE67GenES5LyS4p2Gqykg9Hdumd/IFp9mjT+DY+ nstCdBZ1XMtSM56p2yZTmJVTgcIMJsNjWMTDWphqJ0IczLcAAFDw67dFGo89LSdRnGyz5h+7 DV7kair4z3DRdW9NaNqBSEl5/fhzMLKwIrXqm47v8Albf1bAdJxJqHMQ4sGGxXK+G5HcETPQ VtuXVW/b8umct/TiQguk5X10xEVWqq8y8Tzapb+sGlkpHkaRORa/R40JyLDhMyrEVMc6nR2W NSaBbUefot1MbRppXOesSY4byqvMVnXuUnU3UjTi4JKlajSEF1Om1REmYaq9Wqq4TiWakI8O ZkoMzCdvMisR7V8CpkrLtLah29eNPkrNtR0Ksz0zGhv5aBx5NEdxLD2TT4tOtanykw9XxGQG by95ccwqx7SrhMldNpm8K5N3PT9P7fmHyseYiN5WKx267dd4SxS5xwUr5tKWRXWXDIX7bUB8 1NysRqxoLG5crGiL9NbuvRGvWha7rko12VSPVpZu/EhxIq7irznkaVWTcOt8KJcN4VialKfL qsu2FAieue3nXB61zax3helvutek2VUZaox27kSM5Mo1fEePp1dd3aEwYlFuSiTVRpswqx+U htwjXu50Kzw+12UKp6D3xR6nR6xOTlHmX+rQYz+GObmLXUWd640qUnkbhsxBbE8WUyVSq9Yr 2vd70iVkqDNU6iSbvV40RMtVOdC19Ik0p9MlZFrkVsvCbDRe/hMEqx2wARoAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC5wuAYd61ekCsG29qVW7b lYFs0iI6XWcho90Zi4djvFcNLbfrknUoNzzVFh1SEr99jYzVVHr4SeNueyrlr9ap9RotMjzs KDBRruTbnC5IgoNV1yotKhUyQoMdstC9YjpfKmoxe06S2uV/y0uyXlrOk4UGG3dYxqKiNTvI fRNetRf7pyv+pCq3Vr90UKL/AJUeirXzP3ii59yoODlNSa86ir/0lK/6js86i4z6E5X/AFIV 9FevufvFEz7lQJdWvycOsUX/ACo4OU1dnrUXm9Ccr/qOzzqKn/SUr/qQr6Ktfc56xRP8qPRV r4i/eKL/AJUcHKauzxqMmP5JyvHxjs86i59icr/qQr6Ktfv7Di/5UeirX7+w4v8AlRwcpq7P Oov905X/AFHZ61FROFpyv+pCvoq19Rc9Yov+VHor19XmoUT/ACqDg5TUmvOovP6EpX/UdnnU X+6cr/qQql1a/JzUKL/lR6KtfU4dYoufco4OU1JrzqKq49Ccr/qE141FVcehOU/1IV9FWv39 hRf8qPRVr9z9Y4ufco4OU1JrzqLxxacr/qOzzqLz+hOV/wBSFUurX3+wov8AlQl1a+5z1ii/ 5UcHKak141FXOLSleHjHZ51Gxn0Jyv8AqQr6K9fcr9g4mfcqBLr19/sOJ/lRwcpqXXrUZP8A pOV/1PtKax6uVF3Jydp05qu9arnqhB/oq19/sKL/AJUw66dfscKLMN8UvgHKb6zLa/XKxFfC kKZDd0wJrCnOi6EVyuM5S9b2n3Kn4lIyOapBa3PtAuTC02fx4IanBlx6/pnFNqHxakFyLN0p sO2pRjINOkZuYaueXiom8aTtYLCZbchBgPhthtVqIxq8Ocrd6JdoBU+9s/8AFqeXckXWy4IM OFVKNPxWQ/Wpyag8foLaMaE22KT6tCT6zh87k/JQ9dJmBlcx4Xg7dD89G3Jr5AlGtSmz7IMv DRPta9q1DW4ms+pEKO6A+pKkVFwrMcRi6/S5JiFlcxoXg7dDCTMLPGNB/jQ/NhurmqyoruqI 27jOd1eY+cHWTU6O5zYE8+I5vOiNXgMP0/SxJmFlcxoOPboYSZhYXMeD4O3Q/NePq/qlAh8p HmokNn5Tmrg7VA1O1drsV8KjRY069nrmwmquBh+n6P8AVEH8/C/iQhbaL0cp+oUgtSpkaDL1 2D20J7XIivXoRVKwrc2v/FOts/nyahLm1/50p0/lP2ag3W3WDq9fektQW27zlnTcnCdu8sqq /dRO8TpR9pbTSelGPdUI0KJjtm8nzKVJuGLrLX5dYFWt6YjN6V6n4/Cac/Tq/XvV6WzUWqve YpU2r7emE01xnrnGXw7hxibQOmUVrmvqUVzXJhUWHwUolBsK/wBjVb6Gqlx/VU+sLTLURWuV tuVFP/RRkNq3szfOz3NTcWbj06TiRoi5e50BMqp036gbOUNysWmSufBLFT4ek2o8ftktypIn tVO7B0O1IiqmaFPNz0qxQatF2Q9nL+zJX/LGV1E2ccfeqU/ypW+S2edQo7lR8jMQ/GxT2JLZ jvmPERj3uhovSrVAnhNRdnFy8KVKf5Y+cbUvZvgt3utMmvHm6lIzpex9c8wzemK7Ah56FavA 9+U2OIzWp1VXpd69OEUnBy96pazbPUBqJK0CTiO8Mtg6HZt0I/uzI59zns0LZItiAjeuUZsw qc+65UybIzZX0w3UzIRVXpXlAvKPJzW/Q9sLel7Wp7395Zc6Ka56O862fTPiCUl2WNL8fcEX 4wLss6Y4wshE+MBlRamuej2c+g+mY8gG66aPtXLbQpiL5AlL0rOmGN1ZCJ8YPSsaXon3BFz5 QGVGHZ50mX/pGnL/AIBjs76SovsQp3xBK0tsvaXw3K5adEd/iHY9LLpWicaZE+MCZUNTWvel TV9Rs2mu8cA6VQ1907SQjLI2VS+q1arWLyPNnpJy9LLpXz9a4mPKGF2ZNLOimREz+uODKr9p Br5QbNp8xEjSLIlQmIjt96s47irwbnvHtT+v+mdQmnzNQsymTEd65c98DKqpNK7Mmli81LiZ T9oY9LLpWqcKXE4ftBsMqEOzlpOjvYJSf8ufGb110xY1Op7BpL/HLk6t2ZdK0blaXEXw8odl mzfpY1qIlIeqJ+0HBlUrv+uSepl7yUrblvS9NZGc2FuS0PCcV5y/Wh9kQbHsSRpfIsbNJDTl 3JzuU6Np6J6f2xVW1KlUpWzLfWq52cEkJuouEXiLVkcgMpnHSMpnBGg+UWPChrh0aE1e85yI fRV44ReJE2qOn15XFXerKJckGQl855NyLkJUpLNwOiZgfxoZ6rluOZmBj26EApo9qRxzekt/ CphdHdSeZb0lv4VLibU+PmJZ7HNdMQFaqY3d9MKho146YWFczN6ap9Pgx85WKzd3lI87DmpO PZnL/wAKmp6g2tfVnRqVCnbxl3dcY/ItXim6vfBv/E22LpdYtpxlmJGVkokzntYrt3eb4iQ4 W7uJuqip0YK8SekmosaHAmWXrLOhuVH8EXihO9tSczT6PBlZ2YbHjMaiOenSKsekcYjEexWO 4tXgqd8zlO+Mp3yK6MnSKZKzLpiXkYEKKv8ATa3ipxrFFpdWhcnU5CBONRc4ityehlO+Mp3w OjRqRTaRBdCpshAk4a87YbcIp3xlM4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAABwjQ2RGbj2I9veU+KSMrlfraHjxHZAHW6hlc/c0PHiCS MplfraHjxHZAHX6hlP0eH8BxWSlscJWHnxHaAHWSSleH1tD+AdQymfuaHjxHZAHW6hlc/c0P HiHUMrnHU0PHiOyAOskjKZXMtD8HAdQyiJwl4fwHZAHVWSlscJWHnxGUkZXP3ND+A7IA6ySM rlcy0PHiHUMpn7mh48R2QB1kkZXK/W0PHiDZGU45loae8dkAdZZGUwuJaHnxGFkpZMYlYfh4 HaAHWSRlc/c0PHiCSMoucy0P4DsgDrJIyucdTQ8eIJIyvHMtD+A7IA6zZGVVOMtDT3jHUUtv Y6mh48R2gB5VZpsCPSp2WhS7EfFguanDnyh+aOpElM2pq7PrNU50RkCNlGOYu64/UM0m9dMb QuuZSZrFNSJFT+kxERV8ZZWbFM02g6b1oWQ7HFL3uR5LlNxc83OaRp/qRBta4J6qPtOWqLJp cpBisXdZ4i8UPQPTdq8KS/j+sfeHoZp5CarG0lyp4y6mVS7VHWGBedtrR5ax5KlOV6P5aAxd 7xEubANAmGR6vUZ2RVIL2N5Nz24J37B2nrXI7rSuUXKcTfbeo1NolOZI02VZAgsTCI1qIvvk 1ZGnaoXtR7Jax01T3Rleme0hK7zGiLr3biIv2Gj/AOWUnaakpSaTEzKwYyftGI7znX6y0jGO tknjyLfoC5UIdnu3sfeWPn3Mpns923/Y0f8AyzibkotIRcpTJL4hv0BKLSEz9jJLj+wb9ATK hFNfLc3sJRo/+WU+jdoKgcyUqZT/APmX6CakotIRMJS5L4hv0Ges1IznrZJZ8g36AZULptCU RiYSmTSJ4JdxyTaJo6rjrfOfEOJlbR6SrlXrXJ58g36B1lpGMdbJL4hv0DgyoaXaJo6f8vnP iHD0xNHx975z4hxMqUWkImOtcl8Q36DPWak/2ZJfEN+gcGVDKbRFHXP2Pm+H7Bxj0w1FVeNO m/8ALuJm6zUhrVxS5P4hv0BKNSN3HWuTx5Bv0DgyoZ9MPRc4SnTf+XcPTEUZEX7HzfxDiZus tIxjrXJfEN+gdZaP/Zcl8S36BwZUM+mHoyoidbpv/LuHpiKMq4WnTfD/ALdxM/WakcfsZJcf 2DfoMJRaQiY61yXxDfoBlQz6YejYytOm/wDLuCbRFGcuEp02v/8AO4mZaLSF56XJfEN+gJRa QiYSlyWPIN+gGVDXph6MmU63TfDn9QcYXaIouPvdNr//ADuJmSi0hFylLk/iW/QZ6zUjOetk lnyDfoHBlQwu0RRccafN/wCXcF2iKLj73Tfg+t3EyrRqQip9i5P4hv0HJKPSUzimSXH9g36B wZUMemIo2V+x838Q4emHoyJxp02iL/27iZ+s1I/syS+Ib9BhaLSF56XJfEt+gcGVDLdoejO4 JTpvHudw9MPRuP2Om+HP6g4mbrLSMY62SWPIN+gJRaQi5SlyXxDfoBlQyu0TRk5qfN58g4em IoqLnrfN59zuJmSi0hFVUpclx/YN+gx1mpCOTFLk/iG/QODKhr0xNG/s+cz7ncPTEUbK/Y+b +IcTOlHpKIqdbJLj+wb9BhaLSFTHWuS+Ib9A4MqGl2iKMnFafN/EOMN2h6M7/l03/l3EzLRa QvPS5L4hv0DrLSMY62SWPIN+gGVDPph6NjPW6b4f9u4emIoy5+x02v8A/O4mZKLSE5qZJfEN +gy2jUhvNTJL4hv0DgytX0yv2SveTixpWBGgpDdhUfDVvnKubb95Rod/0+kw4mEp8VsVEReb Jc6HKQJaBFSSloMBVauEYxG5X3ig+07YN3TupXXOda5zKjESDL9rzqIVZin6tU63tOLemZiD FmYkeUa524xXYX3jqrtEUZGp9j5v/LuPQ2YrUqlJsPqC6JaDHcxWpBSLDRcN98lZ1GpHP1rk +H7Bv0A5Q03aHozkXFPm/iHBNoijcc0+b+IcTKlGpC8etcn8S36DK0akKuetkl8Q36BwZUMe mIo3RT5vh+wccE2j7fWNyCSkwsXGdzkXZ+AmeLSaQxHO61yWUaq/aG/QVTol80uJtQzMF8lK LKvhJLtZySY3s45gXYlCS2gKTMzsKXSQmkV64ysB3AmeRjtmpKDMtRUSKxHIi+E6rKRSVdvJ TJRFTCoqQW/Qd9rUa1GtREROCIhFjIACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEF7ULnpWrMRHYxUUVCdCJderUq1xV a2Y1NTLZOd5SLwzwLEvST6MqrS5dXLleTTids61MguhSECG/1zGIinZIoAAPBv2sw6Fac/U3 oqpChqnBM86KfmlR69Mw9X4VbVkX75b6purnd3sn6g1SRlqjIxJSbhpEgxE7ZqpzlcKPY9qP 2mZymrT06mZIpEazdTG/nnLGbFhLWqrKxQZKow2qjY8NFTKHqnwp8pAkZSHKy7EZChphqJ0H 3I0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAABhUXvmQAAAAAAYci8+eggmiKnprJ/guetydBO548K3aZDuV9ebBRJ58P k1fjoCV7CcwACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOjWKrJUmXSYnoyQoauRqKvfU7c CLDjwmxYbkc1yZRQOYAAAAAAAAAAAAAAAAAAAAAAAARV45TB5t0VeXoVvztXmnI2FKwliOVf ARjs/wB33Bek1WatUIfJ01sxiSVF9ezvhEwAwiqrc44kMa86i1Si1+k2pbbGx6pUFyjUd61E XiFTQDq0fl1pMqs0mI6wWrET9bHE4VqpS1LpcxPzcRIcKC1Vc5QO5lc4xw75khrZ/vK5L5ql Uq83BSHSIMeJAgrn1yovBcEygAAAAAAAAAAAAAAAAAAAAAAA6dWqUpTJXqicipChZxvKoHcB 16bOS89JsmZaIkSE/wBa5Ok7AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAALnHDnAAhvaxdEb YUpuPc13V8Li1cdJJNn5Zakk+MqsxBaqq5fARhtfJEdp1AZBXEVZ2HuePPAiG6rU2gJmjw4l Jn5hsmsJFw2N0YKzuVaOqX3adKXcn6/JQn5xuufhcntUyoS9RkmTkm9I0F/rXNXgp+X92UPU GXqTW19k7GipFRMqirxyWb06pmtPoRlEpkJyS2O0zFwvwDD9LXqqp/RUIq49apXDrXrx+bX4 8wlM156Ya/HjD9LIZXj2oVVT+iqlb+tevOfta/HmetevH5C/HjD9LH5XhwMby5xuqVw61685 +1r8cFpmvOOENfjxh+lkMrx4BFVf6KoVvSl6844w1+OCUvXnphr8cMP0sejlVfWqhnK4zuqV w6168fkL8eYSl689MNfjxh+lkEVVRe1UZXvFb+tmvOfta48uFpevPRDX48YfpZDK4zuqMrjO 6viK4da9ePza/HGHUvXnC4hrnyww/SyKLlOKYBpWk8C7YFCRt2NxOe2ybRWp+HTaTMz0Zd1s GE5/wIpGkFbVlyR52LSrCo8ZVmqnMJBmmtXi1ju+SdpjIUa1LcplqQZuXScgQUa6Gi9s5UK+ 6R1+gXPq7VL6uGdRrUXk4EN/M1zV50PvAvajt2mpKe67KsiqPavHtcrzBFoK/VIFHo03U5pc QZWEsR6r3kK4aIyjLu1NrepdbjthyElMKlPfFXtdxe8e3tZXvAgW9TrckpxzOu0fkY729EN3 SeTdNVtK2dnZbcpdUak1Bhsa57cbzlzxUosjITkrOwOXlZhkaEq8HMXKEGbWFzzESnydg0d6 uqFZVETc52oi8T0dnK7qS7S+I9Z9ZiLJtdGioq8d1EIx0zr9v3XrXWbyuCpLDhU2Y+x8N/Nh ecgsBpbS6LaNtyFtsmIUKeWC2LGgqvbK5U4rg3gqtVr3osTambPNrLlp6yDWpx7XeyWgpk5B n5OHNS7kfBemWuTpA7JxRyqvrVQ1LVaDc8a3d21G5nt/m3scCHUpevPTDX48uFqx+8v5KmUV VRe1VCuHWvXj8hfjjHWzXnH2tc+XGJ+lkMrjO6viCKq57VUK4JS9ePza/HGOtevOPta/HjD9 LIKqp/RVQirhO1K39a9eMfa1+OCUzXnphr8eMP0sfvLnG6plVVF9aqlcOtevH5C/HjrXrxj7 Wvxww1Y9FXGd1Qqqn9FVK3pS9ePza/HBaZrz+bX48YfpZBVXHrVGVxndXxFb1pevOPta/Hjr Xrxj7Wvxww/Sx+878hTpVisU2jyvVVVm4UnAVcJEiuwmSvqUvXnHGGvxxHG0NJ6sQLDa+5Yc TqXluG4/eXPiQYauLRq7SKqmadUpebRebk3ZI52oViN01VWuexeqE4tXC9JSDTuJqyseGy2p mow8r2qcWoTNdUrrHC0+hreMNz5VYyLvvi5UYlvCyug7nLpdSFc5zlwvFV4m+mhaEY7F1Ix3 lN9JWp0AAKAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAADDnI3nycEjwVicnyjN/Gd3e4/AB9AEXKZQAAAAAAAAAAAAAAAAAAAAAAAAK mUwBDO1rn0BSnu+F5ySrIy61ZFF4pyTc58RGu1pwsGU93wvOSXY/G1pHC49Sb5i+M+u5NUal zbVSZp8rE45ysJFU7MtKwZeCkKA3k2JzNbwRD7AjTjufrO+Ebn6zvhOQA47n6zvhG5+s74Tk AOO5+s74RufrO+E5ADjufrO+Ebn6zvhOQA47n6zvhG5+s74TkAOO5+s74RufrO+E5ADjufrO +Ebn6zvhOQANTCYydSq06XqUhFkplFdCioqORF6DtgCHn7OenTor3tgTsNXuVzkZHVqZUieF s9yHZslISys/1hbvOc/fXOU5u2Lc4TOekAxHl36O2ddMtLwKrLx3tlkRIatiYVMc3EjXVXZ2 taHZE4+gQai+oIreTa6MrkX3ixoAg7Z40hpVtWrGjTkGabOzjFgx2veuN1fAejH2dNO4sxEj pLzsN0Rcu5OOrUUl9qKicVyZAqbUNnqmN1xZDgy0/wCh9ss1yP31VeU9sWit2ky1DpEClye/ 1PAbus31yuDv445yZCYwqZTGVMbn6zvhOQCuO5+s74RufrO+E5ADjufrO+Ebn6zvhOQA47n6 zvhG5+s74TkAOO5+s74RufrO+E5ADjufrO+Ebn6zvhOQA47n6zvhG5+s74TkAOO5+s74To1q kyFWlGy1QgNjwkdvI1yZTJ6AA6ElRqXJQ2w5WnysJrebdhIikZ7USr2M1Tm+uE5vfJbIk2o+ 5ovuhPnLEvT3dBu5bSPEpvxoOg3ctpHiU34lJ0AAKAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA1rUS7pazLfi1qclYsxAhY3kh850LF1L tK7ZSHEptVlmx3r9zuiJvp7xtFapkjV6fEkajKsmZaImHQ3pwUg2+dnaQiT8Ss2VUYlBnWJv Mhy6cHOKl16ur+ot621XWylDtuenoGeL4ULeQgCf1Y1DXWRKotIqDJtJVGdQ7i53e/ukg03U rVDS+OkhfNGiVGReuGzrnK5yInTwOhbd4Um9Np6XrNGiOiQuoGtflmN13ShWe1kNMq3Ua/aU pUarJRZKbiNy+FEbhzfeNmOLE6e+iHIy2AAAAAAAAAAAAAAAAAAAAAAAAhna1z6ApTvdXwvO SXY6ZtaR8EJvmNd1ts2ZvS2YFNloqw3w5lkVVTvIpttuyTqfRpeTe7edCYjVX3ip69AAEUAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADDlw1V7wBVwvznyWZgdEZnh4kE7Yl/1q0LNS FQ475WZi4Xl2LxRO8Vdt6v66V6nNqFLqk9MS714PRecuM2v0ZhxmPibrYrHeBFPqfm5U7+1k tCsSTq3WZyC6I9qtY5fXNyX20nuSNc9jyNWjw9yLEajXeFcc4xZW2gAigBjKZx0gZAAAiTaj 7mi+6E+cls0LWy1Z27LMWlyOUi8sj+HeLEvTGg3ctpHiU341XS6hzNv2RT6TNZ5aAi72TaiE 6AAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAADi5cLjC8ek0vWi7Z+yrGnLgkZFZ10uiZhopAtA2g9Ra7T1qFKspJiX3t3KReKL4i4lq0 s9T5KfZyU7JwZhiJj1ViO85pVuaS2fQrqi3FTZN8GciIuccG+8hD3Zr1Yx7AXfGGF1s1YRF/ kC7PlAmxaFvNzYMmr6X1qr1+0pWpVun9QTcVuXwc53TaCNAAAAAAAAAAAAAAAAAAAAAAAACp lOcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeRdVw0626LGq1TiJDl4XOqrjJCc baz05ZEfDdBnl3VVM4TievtmIqaJzu65U9WbxT3ytOy1pDRtRpWefUoqMWC3KZTPSVm2m1Lr ZSNRocCQocJ7JVre3WInHJ09HtoSasW04VurISseBBVVa5YaK7K99SevSv2ZSIMepzMVkxBl 4Tojoat4OwmcEB1Od09umtU+lUi1oFIdBm1hzD2uzyjUXBUrU9bdVJvUmsyk9MQJeA2UTENI bd3KZ6Se9D9pi07csWWo9egTCzMFeeEiYwd+q0DZxp1HhSs/Hk5ef3ER64VVyad6Dtntzlie jOWTK53eTUCXV2t9OccIE9nxIZ9Nvpx+ZnvgQiJLO2e8KqXjLO8G4vAOs3Z95/RjLIntFJht S4m1xpzlcwJ7wcEM+m304/MT3wIRD6DtnzO96MZbHtFMts7Z8wqejGWVfaKMhtS56bfTnP2i ex4kHpuNOc/aJ7HiQiJLO2fVTCXjLZTn7RQtn7PfOl4yyJ7RRkNqXvTcacfmJ/4EMLtb6c9E Ce+BCI/Qfs+OXtbxlsJ+ooSztnxUXF4y38CjDal302+nH5me+BDCbXGnPTAnvgQiP0G7Pv8A fGW/gUx6D9nvO96MZbCfqKMNqXvTb6c4XECe+BDDdrjTrHbQJ74EIjS0NnznS8ZbHtFMNs/Z 845vCWXPN2ijDal1NrfTnP2iex4kM+m404zjkJ/4EIhSztn3Cr6MZbHtFMpZ2z5jPowlv4FG Q2pcXa3056IE98CBdrfTnHCBPfAhEbbO2fd3Howll8O4oSzdn5F43hLY9oow2pcTa404zjkJ 74EC7W+nOOECez4kIibaGz5hU9GEuvh5NR6ENn3hi7oC/wCEow2pebtb6dY4wJ74EOULa005 iOwkKeTxohE8vp/oJMuSHCvGArl5kWGqG30XZp0/r8i6LSK7BjNX+k1OKA2pPtnaB0/rcVrI M51Orlx6q9EJLpNcpVVRHU6pSs0ipnEN6OUqZdWx6sGVfMUWvPfFRMthtaqZIunaNrJo/M9V QlnIEo1co9FzvIgxdr9FunAKzaA7S1OuONCo11KkjOKiNbGiL693eLKy8RsWGj2OR7FTKORc 5IsuvoeNVrqt2kzHU9Rq8nKxfyIkVEU9k0e8dLLRuqpLUKxTmx46rxcrlQLXpej6zsL/ACip 3x6BL/s5f+oqd8ehqfYH06Tj1mZ/Go7A2nf9jM/jUJy2v0f2d/eGnfHocm37Zzmqvoip3D9u hqS6EadInGjM5/y1IK1stuwrZ1Mt+gytOZChRpprZlqRF4tXvlS2rQpf9nKqIlw07KrhPV0N hk5mBNwGx5aKyLDdzOauUUi+T0Q02mYUGagUhisciPYqPUkmj02VpUhDkpKHycGGmGt7xFmu 4AAoAAAAAAAAAYVF6FA8e6bno1tSfVVXnoMsxfWo96IrvEac3WmxM73XWDx/aIV4+qAzs11Z TpdY7+RbEXDUXBpekOzrM39arq3Dr7pRUciJDVefJcZ1btNZ7ERc9dIPxiBNaLEyq9dYPxiF dU2PZ/HG6V/iHpPJ7+9K/wAQOViuzRYmMddYPxiGezTYn9qweH7VCu0LY9nMrvXT/wD6/wBz 6ek8mUT2U8/63+4OVhezTYmPvrB+NQdmqxFXPXWD8YhXtux5HVON1Y/9v9zPpO4/960/iT6Q crBJrRYiZxVYPH9ogTWexEXPXWD8YhXl+x3NI7tbr/8A9f7nzTY/m3Oc1l1q5U50Rf8AcHKx Sa0WImV66QeP7RB2aLEVMddYPxiFJNWNDLk0/mYUedfHjUiI9GOnOOGn1vDQ+p0zT+TvO36j ErFOiw9+M5i/ahibV1+zTYnP10g/GIE1psThiqQeH7RD80YMvGiOwrojUT13bLwQk6c0an4u nMveFvVCJVIasV8zCaq+ooMNXg7NNiKueukH4xDCa0WJhUSqweP7VD80YUvHfEdDzERzV7dN 5eBKEDRyZquncO6rbqkSoxmtV01KtVUWCiDDV3uzTYiJjrpB4r+cQ2ahXza9ZhsWRrUk9zuZ nKpvH5WJKzPVD5d3KNjQ1w9iuXgbzalq3f1kfctpzkeK+STlJhrXLmEidIw/T9PWOR6bzeKd C98yVX2UteZquzSWpdURVnU+1xoi4Xh0FpmORyZTxoRqXXIABQAAdWqScvPyUWUm4LI0CI1W uY9uUUjLTbSdll3ZOTkjEbEpkzl3IPXO65V6EJX6DTpjUCiSl6utmejNl5vk0e1XdOQljZ+o JTP3JAx7RA2QlMrvSkDHtENSrOq1i0effIVCuQ4cwxcObuqvmPeti6KHckqszR56HMw06U4L 8AV68NjIbEZDajWpzIiHIIqKmUAAAAAAAAAAAAADi9HYXdXoAyrsLjCmFdhcbrvgIOvin6wx LljPodXjQpDHaNRmTQb7r+sNnw5d9RuGL6v61FYiYLjP6WwV3HG6phXYXG674CuEnI65zMlA moVfjuZGho9q7icynNaVrvj7/R/4EGH6WM3uGd1fgG/+q74CuraXrt012P8AwIdqj0zW1KtL rOVuM6WR3qiKxOKDDVgk5gdentjtkoKTDt6KjE3176n3eqoxVQjT5TkzAlYCxpiPDgw053vd hEPLW6bd3vv7TsJ+3b9JW3bsvWuUeWlaFTZl8GDMMR7lb0qVHaledDSK+amW7/6y8S4zfp+p fopt3C4rtO8Hq7fpMeim3sff2m58u36T86rM05uy7IX2Gq0aNG6YSPXKf6mzN2fNV8cVnP4l GJ+l723Tb2eNdpvx7fpMpdNu8c12neD1dv0lDl2ftVs+umk8b/8AcJs/6rZ55r4z/cYu1fBL pt3HGu03Pl2/SZ9FNu54V2nY8u36Shy7P2qyp/W/Hv8A+5j0v2q/5U18Z/uMNq+K3Tb2eFdp vx7fpHopt7d+/tNz5dv0lD/S/arflTXxn+49L9qsi+um/ff/ALjDavgt027jhXab8e36TPop tzP39p3x7fpKHel/1Wx66a+M/wBwmz7qsq5zN/x/7jDavgl027hc12neD1dv0hLpt7pr1N+P b9JQ9Nn7Vb8qa+M/3Hpf9Vvypr4z/cYbV8Fum3s8K7TceXb9Jlbpt3PCu0749v0lD02fdVsc XTfvv/3M+l91U/OTPxn+4w2r3LdNvZ4V2m/Ht+kLdNvdFdpvx7fpKHrs+6r9DppfE/8A3OTd n3VVWqqvmkXwxP8AcYbV7vRTb2Pv7Tc+Xb9I9FNvY+/tNz5dv0lEU2fNVcL6rM/Gf7mE2ftV sKuZv+MYbV8PRTbuEzXadny7fpHopt3P39p2PLt+kod6X7VZema+M/3Mt2fdV16Zz+JRhtXv 9FNv/wBvU349v0hbpt3hiu0749v0lEfS+arf97/Eo9L5qv353+JRhtXuW6be6K7Tfj2/SZ9F Nu/27Tvj2/SUQTZ91W/73+JR6XzVbvzv8SjDave25qA5e1rlOVPBHb9J9G3FQ3Z3axIr3vVm /SUOh6CatwGK6H1bnvbynFNGNaoDFfCgzyuTo3lGG1fdtapcT7VU5R3iiIdmHOSz29pMwnL4 HH5+t071+p7FfClJ9ETjzmGxNoWlrncnkx4Bhr9Cmqityi58Rjf/AFXfAfn12V9eaQ3EzEnG tb32HckdpfUmRiItQhTMZE50Vow/Sx22UuNEp1VTHqzef3yEtie9betiTqTaxOw5dYjMJvOR M8TUNWNomevyx4ltztMiwHOejleueg8zQm39MqxIRUvKuwqfMqnaNflMqVPVxa3q7YU3QZ+U bVoGYku9rfVE4qqLgoTJxYNLnp6eWYgqro73Q1a7jzll6LonpDVeMhccvMIveepsdL2YrCjx lcybgTDU47qOHReUT6ZWxpNW6FEqN31h/VkZUcjeVTh8JtS2Bs8qir13ifGNN3jbKtlviKsO I1iKvBEcp8omyhaTs7sxj31JpiF77060ujXPSaXaVQfMJNpmL26KqcfATNL7JFgRpWDESYnc uhNV3bdODSri0dpOneqVuxKdH3kitVXcV75bynq1JOXVV/FN8wtJFe02RbB3VTqicz7YwuyJ YXP1ROZ8ZY1qt4qi+MZa7pzgmtZFc/Si2Dz9UTmfGE2RbA6JibX3yxyKiplDCNRFyicRpkVx 9KJYO990TmPGE2RLB/SZz+IseERE5hpkVw9KJYSLwmZz+IymyLYGfuib+EscYRETmLpkVxTZ EsFEx1RN8fCE2RLBTP1xOfCWOVEXnMjTIrgmyJYWMLMzePGZXZEsDomZz+IscqIpjCZz0k0y Kyz2yBZj35gTU01vtjU7h2P4kOIsShzbXInFEiv5y46plMGN1ELp+Yo5RbHtm06gtM1Cok2r EXDI8tByxF76qTfamielVYpcOfpTWzMGIiO7XDlb4FJir1DptbkXyNVlIczLxEVHNVCArgpl b0OuTr5RGxZq0ZiJmZlk5oOVwiZGs5jbars8WBOt3VgxYC4xmEiIpo9w7O9eokTqrT+452G5 vbJDmJhUauOjBYi2q3IV+jS9UkIrYkGMxHcOhVTmPSVEzka1kVrsLW+u2/W4dsamST5V7XJB hzTGKjFXmRVcpYGNK0m4ac10WFK1CTit7Vyoj0VF7xr+qOntCvugx6dVpVjoqtXkIqJhWP6F IU0NumuacX3F0xumNEmJN0Tk6dHeuEx4AnXbUdpfZ7fS3xbrs1r2NYu+9jOdq864RD2NkDW2 NMPZZF0RnrMMVIctEevbKvhVS10xBgzctEgxobYkKK1WuReZWqUE2nLNmdM9UoNy0aE6VlI8 begbvMnHiC8P0BY5HJlFynfMmlaMXTBuuwqfUYcRHObBayKued2OJupGjAAA+ceK2FCe93Mx quX3j85dqG7m1bWyPUJWMiw5VW7uF5lQ/RqZhNiwIkJyZR7VYviUp9rbo5bUpqRQ4MFjUSqz qQ4zfApYz9LG6HVmXremdFmocVIkRss1InHOFN4NZ0+s6nWbRkpVNZiAmP8AQ2YiwAAUAAAA AAAAMORVRML0mQqIoFKNv/C1Wnov5w0DR6Tvy6qK+Wt+5ZOkS8B26rY0zyargsNte6SVy+GS U7QWPjxob1V8NqFeJXZ81Vl2qkvT5uCi8+6uDUYqQ4WnuqrmZdqHSkX94f7hbA1LhuxMajUx Gr3qj/uaKzQHVtzcrCnWr3t5THpeNUozsRYM7jv7yhEhN061Gx2uo9NVP3j/ALmIunmpEODE idkamruNV2EqHPj3zQG7PWqjEw2FO49sp8naAatI5U6mnlT2ygaq+v6i1C6YtGkrhno0w124 nJx3Ki8ccDZUtbXFu99kKtw/aPJI2cdBrvo1+Nq9fgRJWFBVHJyiZ3lRS5awkz61mPaoNWR+ dXoY1wxjrhV/jHnymJzWLTybgVufmqjGhIu87lHOViJ4T9GlhNz6xmPaniXtbVNue3pujVKX hxYEdi8N3mJq/lEmkWolG1ssKZoNXhwVqLoLmOY9qYThjeTwmgaHzESztSq3pNW3vmafNROT l2RV3monHmIftqJU9INfGye++XgRplGIi8E5NXE2bSaydF1As++aRhFju34sVvSVEH672FEs fUiYkMN6nmHLHTHMjFXmN12brpj21ectSY7mxaHXncnycbixqIneN+2w6HDqViUi8URFjxmQ 2Od4FTJANMmIfWWJMNmUZHpO66B31VVDN4r2tpmwUsjUV0zItb1FOuWY7X1qIq8yHq6IXNHt K8KXMLEa6i1qIkKPBcvatRPASrtDU+TuXZ9otfhYiTjIUJsR6c6cOJXe3Hysza1VbMTCNiyE NHSnHjvZ6AXit02sNPZa2rpg3NQYapT55OXeqJ2uVXmPN0ouF1s16kVxHb1LqMVIVQl/6O4n fQnC8GQ7+2X5TkYe/NSUKGj3c68E4larDdKRaHcFPnYiNiNhbsqi9Ds9AWtk2hbcWxdRpC8q AroMjUnJNsWHwRrVXOOBdbRe7W3pp/IVtit3ntRjseBCsF4ug3psvOmIkPfnaKrJZH864Q2b YDuWPOUedt57lVkmzeair0qpKs7WuBhud1M85kjYAAMKuEyV42qJNlyT0nbFCYkvcER7XdUs TdcjV5uPPgsOqLjgpBGtcOPbGpFNvSJCdEk4rmS8RccGJ0qBr+jclb9GqUWyL5k2xqzCwxJu ZYipFXvo5ec9DUq0o+nNXk7wtSajJLRY7YceWV3qaMVeKoiEgahWdQ9SLcg1WlTUJk+xm9JT rF9aQpdGolT6zy2nVww1WtdVJCY9y8Xw+ZHFRaG2qtArNElqlL55OM1FQ9I17TujxKHZ8hTY jsuhM4r4zYSKAAAAAAAAAAAAAOLm5/pKhTXbwupUr9Ep0pHciy7sRURfCXLdjGV44KB7Vll3 RN6px5uPBidTTkXMrlOgsZ+lxNFLhbcWnNMm2OysOCyEqp30Q3dGqi+uVSGtku3rgtnTplMr 0J7XOfysNXJ0LzEzkqxhGqir2ymEaqL65VOQChxiesU5HGJ6xQKY/VBF/lBSvJN85JWkOmls 3xoZSIdSlGwYy73q8Jqb6++Rr9UF9kFK8k3zk/7LHcWo/icXxj1Xm/tFr40/molVtSemVkYb spyURd9U8SHdtPaYr1u0Gbp1zSbkmoEJUl3Pau853hyXHiQ2PY5rmtci86KmSqO3TaVCkbUl a1JSTIM7Giq2I9vDeQbpZnSMIN06m3xckOPBrUaThzy78JjIytREU2vUWydVbSo0tPxLpm3d Urup9dKuFNe0waiT9r8eKwW+csTtPewyieWb8lCorTB1S1PlYKWa6fV0aZblsdYq7yInhNp0 vs/VW9pOJNwrpmmI1ytVOqlTmI9nUV2qtNR3NyL/ADFndkX72TiZX7Y/zgnKALgqOqFm3BPo 6vzMdKZE3XtfHVUU603qNqZffUdSh1OJIwYkVJVEhRVaiqnDJs+u6Kl03cqLj1c03TRqdj2l O/pdeOf3wiSLm091Vodmxrji3VNrDhMR2Eml6TQ5fVfUuzUZTIs+6bWfajGPixFcrd4tbq3w 2fpzyDPOUz1OT7KUBETC78ILZlb1p7R9Vbzrc3ItuaahRIKoqokyqJxGoVI1Tsq4mU91zTUV 7YXL8ZlVRUQkbZqaqaiVLK9LPMNqVP5x0X/xq+YenmoVqGsGo92011Og1B0p1u9fEhRFRzs9 8kOg6W6qVS0+vzLvntzkFjY6rXoTJCGnkNHQrkdniiJ5y9mmHcVf7gd8hQTlT+S1M1IsCAyq RKrFn4MZ6sRI0VXYwuD0aDMan33dsCH6IpmVdUGcuxkOYVGoi9BqmqUP+Qck/n+uYnylJL0H 43tbnBfuJCo46kWLqnZvWxIl2z0SJPxeThp1Uq8fCeLC1p1Lhsj2A2Ox03DXCzCvXf4eEsHt S/dFnYXj1b8xVGmM5TXqoNX9opFvFSVplTtabpWK6mVveWFxVIswqIc6jrZqfprc7aXckOVm IUN+7FVHK7h0kpbJK5j1HjzIvnIE2tu2vue6cRHA8S/XNquWeyFFoFLjzEJGIsZ7oKqiL08T 37e2n7aiyUKJWKdUoCvTO+2AqN95SE9GZaA3Qidj8kx0Z3KIrlTK4LGWRZ9t1jRGlRqrS4cd zZFVyiYXPEcLLW4ae6i2xe8BYlEnlc5OeG9yI74DckTm7ZeB+fGz1Osomuc7BhTqyct1Q5iN c7gqb3MX1gVqlPi7jJ+C5zsYTeJYsuvSVMrneVDCtVVzvKcIUxBdwSMx3/sh9Ec1eZyL75Gm cIqYXih1YslLxFVHy0J6eFDs5Tvocd935KfCB5sxb1Fj8I1Jk4idO9DRTozNkWlHhvbFt2nK ipz8imTYN535KfCZRy4Xh/qERpU9ErCnHuc+lwYau/JhIaxVNmLT6o5+6IC9+G1EUnNV4ZwZ GmRW2o7K9IlW5oVxVaA7HNyuDWJvZ91PpsVz6Fdk27vcpNKhbhWoq5UK1ud5egup+VRpHTza Ft9yzcKqwJxG8Va+YVx8529NoKR34cSkyr9xOdqKpbxXNxxVOJ8lZDXnSGv/AKoNMUPvG/tW KtXabU6vbcRYlPbus5KC5d7xm+yG0vesvAhw520plqMajcpKu6C2XIymO2gwV/8ARD5TFPps wzdiyku5PJoNMVmltqaYZDXqy3p1jk70sp902rJPk0+wc/vZ4/W68xPkzZ1szKKkWlwHIvPh qHU9ANoImes8LHiQHKKKPtU2ZF3YdTk6hKuXgqugqiITBZ1627dFPZN0ipQIiO/FrETf+A8O saP6f1mGrJ2hMcipzouCCNQtDLk0+mYl2ab1GLuwnbzpNmVVGpxBytwi5TIIS2d9apa85frF XvrKvS2GPZEXCxV8BNqKi8xFl0AAUAAAAAAAAPJumkSlboc1S52GkWBGYuWqmeOOB6w6MAQJ s01Sfo9dqlgz6fc8R8eErufdVeCE9ouUyVY1Ku+YsnaVfGpdKiT8aYlWMWDDXCrk3eLqrqDG fEbL6b1JmPW9sWsy4m9cLwVFK/bYFtOdQZO8ZBqwpukrvcoxMKuV6VOU1ferkzEXqezJ+WRU 4Z48TRtXarq1P6cVSHW5CYgSKtTld9vRkSFqx2llchV2w6XPw3ue/qZjYir+VjiQ/tyUVlR0 9hTzm5dKNVyLjmNk2RJiNG0oYsZV3mRUbx8R9NrtGu0cqrsZxC4KPTuNP2Bas2a0zmZOI/ei MmOCL3sFkyo31PpV6yzaZ4copbeHhW8BVjkACKw9VRMpxID15ROypZi/+RaT6qonOQFr0mdV LM/eLSxmp9ABGgAAAAAAAAAAAABhyZ6VTxDHhUyAMY8KjC8eKmQAROOcmETjnKmQARMJz5AA A4v4NyiZU5AClW3vQUlLjk7ngs3HNRrd5E6UPTvhzK9sv2/WHu340pCRXO51Ttjbtv8AlIT9 LpaOrU30mUTJGtqxnzeybVoau3WwYTETPhU0xe1gKhQaHf2iVMos9VJeG/qKG6GqRUTD0bwy Vkg7M95pU4sJa5S0kXP7ZeqkyqZJEtzSyYldOJKvTt6w5KTWXa/ts4ThnBozqzbiR4kFb5gq 2GuN7eXtglWdl7Lt1dLWWfMVaWfiAjVcsZvB+MFWqhszXgypx4cjW6X1BFfwVZlM4z0nv2XL US6qqlNlL+gQIzuDEVV7YkGvaOT1BpcSo1S+4ctKQ27znvyiYB2kTS20KLaunD7ZmqrKRnx4 O7GVYyKiOVMcCsl3bNdyMuSYi27W6b1BGeqsV8yiO4qcevNtpMRYS3zBVsN26jt5e28JmXrF uOmoUul8QWsiOwsRXLhnhBqYrV05lLO0PrFBnapJzE1MosaInLI5N5E6CHdh+oOp+p9Yk0it Y2I5WImeftiUZPRuZrdtx6jT74hzsosFz0VmVReGSvugMONStfJeShRVwk2jHqn9LiFfo83G XYMmGoiOdxMmWwAADoV+kSFapkWQqMuyNBiNVMObnHhQ74Ag6e0VqMlHclv3HUYUrEX7UsZU RieBDjObP9MjUpY8SoTUzXIa8pCmYrsuR3Qme8SXe94U62I0rDnkRVmFw3ibDKRoc1Kwo7fW xGI9viUI8LTeSrtOtaWkrgiMiTkJuHPa7OTZAAoAAAAAAAAAAAAAw71qqV82qnO9EFs4XHFf OWDX1q5K+bVfsgtnHfXzlnbP10nO3VVaLIZX+rM8x6J51uJ9hJBc/wBWZw949EjQAABxiesU 5HGJ6xQKY/VBfZBSvJN85P8AstZ7C9Hxj+kQB9UE9kFK8k3zk/bLS40Xo+E/KL4zO0pFbNvj ucSPDjyzvMWTK2bfCL2OZHjx5Z3mEW9Id0vVOrrWRU48g3zliNp72GUTyzfkoVw0lmWTFRtp rW4WHBai/CWP2nvYZRPLN+ShWJ1VUZvurU3H5l/mLO7Iy/YucTH41/nKxTXDVamqi/iX+Ys7 si4Wlzi4/Gv4++KTtDuu6Zuq7eK/bzTtNO55Sv3x85uWuuUum7l/bmm6adzulfvj5wi3OrS4 2f5xef1FnnKaan8atQOjt4RcrVv8H+c8izzlNdT/AL7UDP5cIRq9p/2a95NRqmi82WY+AxtS p/OQi/8AjV8xnZr7o1TRObLMfAY2pc9kdO91tXzD1P5Vs05X1C5sd5POXp0w7ij/AN3u+QpR bTr7nuVOfgnnL1aYpjRR/wC73fIUVfntSjVHufSXuiJ8pSSNCE/lrbat/QkyRvqj3PpL3RE+ USPoOq+ja3Mc3UScCspo2pft9nLj+u/MVTo3d+n18EUtXtS/dFnJ/wB78xVSi57PtQz3opIt 7Wc2SvuipcO/5yBdrT2dT/lHE9bJP3RUvf8AOQLtacb6n+n1Rw9PHq6OY9L9Nrx54nEtLpbn sFUzp+sF+cq3o5n0v03nvxC0mlvcKpmP0BfnJVnajNjW8y5taZylxJyNKNfOO9UhLhydsWmm 9m+IzffJXxXN9MbmYpXTRPC7QUxx49WL8o/Q6F653iQtPmK2R9A7whMzK3xWFf8ArTCnViaJ 6mQYK9TXjUnOX8qZUs/hM5CNREVOPEmr+VWImkeskOGjYNzzLl77plQumeuMJmIVcc9U/Kmi 03Jt8Pwjk2+H4Rp+VW2WJr/BRNyown+2mTuy9B2hZVUVEkou734/OWZQwqLngo0/KuTY20PA cjlplMciftTvNuLaDh5V9v0hUx+cLAYTvIcVb3kT4AuK6xNQtdJdzuVtimORvBcKp0Y+surk qqpMWnKqqfksVSy/JMXOWMX/ANT5rLQl54MFfGxBqZf9Vsh66aiMZ9c2qxHdG7CccU1+vnPG 1XfEuLKdSQP0eX+LQx1HL/o0v8Wg0yq4O1/vBjN59rRMJz4gOMQ9oe5cZda8f/LuLIdRS/6N LfFoZWSlOiUl/i0GmX/VcE2jqw1rliWzNpjvSzjHplKhu8Lanc+5nFkFkJFUwsnLqnkk+g4d bKd+gSvxTfoGmX/UKW1tH25GayDX5KoSEZ6oiK6XVG/CpM9Mn5CsU5kzJR4MzKxmIuWOR2UX oU8W8LCte6ZF0lVqXCfDcmMw2o1U+AgBvoi0BvGFBixYs7Z07FRrF4qkFXL0qveBzO3Hac00 mbZqUPUyymrLxJZ/KTcOHw6ejBNehl9yV9WNK1OBEVY0JjYcdq8+/jibFEbR7rtlzGuhzlOn oXBWrlF4FXND5+b0012qNnz7nQqbOPfFgMXgiZXgDqrgA4w3IqYTmxk5EaAAAAAAAAADHHPP wArBqC1i7WctljXfW0JeJZ2H65eCcyFY7/RfTZS/uaEWdh4yvfwhazHJU8JG+0lvJozX+P4t POSQRvtJ8NGa9j82nnIt6a9sf4TSrK8fVvmPvtc57DVW6PUug+Gx/jsVceblvmPvtc47DNW4 Y9RL6k6RR9T5+8s17dS3DPW9BUf6n195pv26luGet5sCrGQARWHZxwQgPXrHZUsz94tJ8VcJ zZID16x2VbLz/aLSxPpPoAIoAAAAAAAAAAAAAAAAAAAAAAAAAAK6bfKZ0mge6U8xFFjfgp1z ybPlEr7fOE0kgKv6UnmIosfPpUq7j82z5RYxe207QkWYl9leiLLxXQkckJF3VxntTX9nPZ9t S+bIhVmqzMwyNEblUYiYPe2iVX0qtD49EL5JIexV3KJX2nzg9Vf1VsSR0z1po9Koc1GWHEis dvrwX13MTxtnTk7B0lpDUmHt5WFiIiL65MdJGu1rn0wdCXH9OH8okTbVRU0ponk08xRpOzfo Bal+WM6sVWZmIcZIiNwxOBoO0VpdRrEu+DSqRFiRIcVyNy9OKFm9iPuTv4fjmkQbaPdMlPKI PS9JL2MIsy7Su4ZaYjPipAe9jN5c4TcUr7pK1G7SUJE/Tv8A7FgNjHubXT5Z/wAhSANJl/4k 4Xu3/wCwTyP0TRUyqJzpzmTCc68DJl0AAAC8y4Bh3FMZxkCEtpVE6uoW+ze497wkvW7hKHIp jC9Ts8xR7at1LvCm6kRaU+NiVlIuJZVb0Fltli5bgurTqFUrgVeWa7k4eUx2qJwCJbAAUAAA AAAAAAAAAAYX1qqV72q1Vbgtnxr5ywqplFQr1tWJi4bZTPSvnLO2frpOlufeWQ9zM8x6J59u L9gpBv8A27PMegRoAAA4xPWKcjjE9YoFMfqgvsgpXkm+cn/ZY7i9I8TvmIA+qCeyClZ/NN85 P2yyuNFqPhO+XxmdpSK2bfHDTiRTP453mLJlbNvlMacyKJ+ed5hFvSGtLITGT9sLDaib0Fqu VPGWL2nvYZRPLN+ShXfTDKT9rYThyDfOWI2nvYZRPLN+ShWJ1VUZrjqtTU/Yv8xZ3ZE+9M4i fnX+crDN91am+Rf5iz2yMqda5xP2r/OKTtDuu6ql03dhM+rmnaadzulL/wCY+c3LXbPoqu7H 5803TTueUr98fOEW41b/AAf5zyLPOU11P++1A9vBLlat/g/znkWecprqfwq1A9vCEavaf9mz HZGqfjZ5jG1L3SE4/wDLF8xy2bMrqNVOPSzzHHalx2SE7/W1fMPU/lWzThfre5kTvJ5y9WmP cUdn+z3fIUorp2qpCuVPAnnL1aY9xR/7vd8hRV+e1KNUO5/Je6InyiR9B0/lvbap+hIRxqj3 PpL3RE+USPoMn8trcXPDqJCspn2psLMWci/pvzFVKKmNfah4opazal+32cnT1b8xVOjd32oe KKSNXtZzZJ+6Kl7/AJyBdrThfU/5RxPWyT90VL3/ADkC7WuPR1PZ/OOHqePW0c/B+m/HELSa W9wqme4F+cq3o5+D9N9PGIWk0u7hNM9wL85Ks7U00T4bQUwuOHVi/KP0Oh+ud4kPzx0TRfTB TCouPrxflH6HQ/XO8SCr8uYAI0AAAAAAAAAAAAAAAAAAAapqnbMpdFlVCmzcFsZeRc6DlM4f hcKbWcYnMiLxRVwoEB7JNcqHUFUsup4SNRV3W5XiuVNL2u6fFo+ptv3bAZybGxYUKI9OHTxP QoMz1k2rqjKQVVjJ+OibqcEXCGx7cUq1+l8tNtanKQp5i5L6x4m+3qhAqVGlZ2AuWRYbcL7x 6BH+z7MundJ6NMOdlVZzkgEagAAoAAAAAAGM8cYArDf34WUvhf6tCLOQ/XO8SFY7/X/iyl+G PraEWYixWwIEaM9URrGbyqvgQtZj7cd7wEcbSvcZr3H8WnnK/wBV1/vmJqI+YprHJb0vNLAj JuZyiLxXJNutNZlq/s91Sryv2mZgNc1PfGG66Gx+mdKsLw9W+Y7G1z3Gatjj6j0nX2QEVdKv 8b5jsbXKoujVWX9kPSdIo+p8/eab9upbhnrefJUf6n195pv26luGc3PkVYyACKw9VRMoQHrz 3VLM/eLSfVVE5yAtek/nUszj/wAxaWM/SfQARoAAAAAAAAAAAAAAAAAMPc1jd5zkRO+oGQfB ZqAvNHZ8JlZmBjhGYi+MD7A+LZmAicYzF98JNyy/jmfCB9gfBZqAqcI7PhPrDiMiJljkcngU Cu+3x3JYHulPMRPYufSp1zH5tnyiWNvjuTQPdKETWOmdlKu8ceps+UVi9to2i0/4VqGvTiF8 k9zZzvOkWLoTDq1WmYbWthKrGI7ivvDVW06pd+zHR5WkQXxo8GHDiKxqZVURpWmzrBv666rJ WxFkJ2WkocTdcrkXdamekDYKtWK7rPrTJVKnSDuRgR27j2tXG4jufPfLH7WtmVms6UyjKdCd HdT4O9FROK83QdO4a5Zmz5bMnR6VS0ma3Ght3mtwr3PXpQ1qn7SF1UmaZHu+1pxtLjrhqvh4 bgDXdkfWSRtNnoNuWE6UbFjIjXuaqKjuZEOvtlxYcfUWRjQXtiQ3varXNXKKioeLrHbk5fMx 6MrOticlYSLyiua3gvTlMEUV+47prDpSVqEpHixpV+GZauc8xRb7YtTOnFzp347/AJCkA6fu 6l2npaGjfXzyJx9sSbs/VG+7KsuegutOoR4dQzFRzWcERUIWlqxVIGvsCptpkZs82YRzZbHb KuQZw/S3KJleIVyIuOJBfZM1BVM+gypJw/NmE1L1BxhbNqX8BlpO2eOBnjggnsl6gomEs2pf wDsl6g49htS+LBqdd5OPPwMOc1F4ovwEFdkvUL+5tS+LMrqbqAicbNqX8AESbe1pPfcFDqUl BV7ph+YmE8JaDRyiw6Jp5SZSGm6r5ZkR3DpVCvWr99XDPRKc2t2hPI9F9T3meElDT2+7tnpy Rp8xa89LSfItRIr2drgomYGGqq86GSKAAAAAAAAAAAAAMO9apXvarX+UFs558r5ywq4wueYr 1tWeyK2cc2V85Z2z9dJ0txF6ySC9HUzPMeiedbir1jkE6OpmeY9EjQAABxiesU5HGJ6xQKY/ VBfZBSvJN85P+yx3FqP4nEAfVBPZBSvJN85P2yymdF6Pn9YvjM7Sl0FbNvdF7G8jlePLO8xZ PoK2bfHc4kcL+Od5hFvSHdL89XWtxynIN85Yjae9hlE8s35KFcNJJlJio223dVqw4TU49PEs ftPewyieWb8lCsTqqoTXdXpqLzci/wAxZ7ZGx1snPKv85WKcz2Vab5F/mLO7IuOtU4uOPKv8 4pO0Pa7+ym7sc/Lmm6Z57HdKz/bHzm467+yq7fLmn6adzylJ/wCY+cItvq3+D/OeRZ5ymup/ 33oHt4RcrVv8H+c8izzlNdUPvrQPbQhGr2n/AGbMdkeqYXpZ5jG1LjskJ3+ti+YbNKY1FqfB ednmG1L3R0Tp62r5h6n8q16c8Je5lzlcJ5y9WmHcUf8Au93yFKLac4SBcqdOE85erTHuKP8A 3e75Cir89qUaodz6S90RPlEj6Dovo3ttOjqJCONUe59Je6InyiSNBvZrbmV/qSFZTPtS/b7O 92/MVTo3d9qHiilq9qZVSYs7vdW/MVUo3DX2oeKKSNXtZzZJ+6Kl7/nIE2tvZzPeUcT3sk/d FS9/zkC7Wns7nlz+McPU8ero6qel+m0TpWIWm0ubjQumInH6wX5yrOjrUXZ+m8KicYhabS7H YLpmeKdQL85Ks7Uz0Uz6YGYVf01flH6HQ/XO8SH54aJIvpgZjP6avyj9D4frneJBT5cwARsA AAAAAAAAAAAAAAAAAA4v/o+M5HFyqmPGBVOp/hgSvun5jettfK6PO3U49Utx/qaNU8em/lPd PzG9bancfd7qT5zTHlbHsro9NEKHyi5duO85KBGGy13EqH7R3nJPMtToAAUAAAAAADCrxxgC sOoK/wDFnLZ5upoRY+sS6zdKm5dqqivhKifAVv1A4bWcun/bQizrE4uynBUQtZnr88oVTmKP O1KzosjEfPTdSibiKxeZzuClmrxo8zQ9lKPS5tMR4MqiOT3ySp7T21py523BHpsNZ5qJh6NT HA8PaRajdGK8iYROSTGOjiNTMa7sgIvYqwnPy3zHY2ue4zVs8PUTr7ICr2KuH575jsbXOOw1 VsfmR6s6RR9T5+8s17dS3DObmwVH+p8/eWa9upbhnrebAqxkAEVh3NzZID16TOqtl/vFpPqr hObJAWvSfzq2Zx/5i0sZ+k+gAjQAAAAAAAAAAAAAAAAazqNb07clvxKdI1SPTorlReWgr2yG zACv8zo1ckpJRpiLf9WRsJqu9caLpRbNwXvUa5KQ79qbFpsxyTd1/riwutdYg0XTWtTT4m69 0q5GcekqHsVXVFTVeNIxoyo2fe6I7K8FUrFnKduwpdXN6Pav/EZTRO50x/L2r/xE8sTCLxzl TI1r8xAi6J3RuKiX9V+P6xI2lloVG1JCPL1CtzVUdEVMOjrlWm6ImE4GSaYrnt8rjSWB0/XK eYimxvwUq7wz6mz5RLG3x3JYHFE+uU8xE9j5TZSrqp+bZ8osZva0mkExAltKKXGmojIcFsox Xq5cJjd4n3tG7LFqdVjS1EjyqTaLh2ERFVSBtdKrUKTsuUV9PjPgrEZCa9zVwuN3iVtt2RvS 15KQvynPm3y6O5TfRVVqcekYup12gokCkbSVKnrmgrFpqw2o1zky1FzwJK2k7n09fo7My6rK x5qZl92RaxEVzXe9zHk2vcunWvdqy9NuJWy9WhMRuXPRr1cnSh9ZXZqtGi8pVK9U4j5WXTfY sWOqsZ48hHt7KKx6TozEjXNERkquHN5Xm5PHMdd2omz710WGspJdUo/13U/Tnv5K36s6l3ZV J59g0CowI9ISMkKAksmF3c4TihpF7adVa0nSUGpTCpNTaplOZW54g1+mVJnafP0CHM0mJCdJ OgZhozGETHAoZdER8vtZyr4eEckyxUx4yQtmCR1PqllVNlCuKUl5SWickrY7Vcq8Oghi5JK4 oWv8GTmJ+A6rLHbux0TtUXIW8v0kp8V8STgRIjm5cxFcdhzkxwchB8haOs8SRgObdlMRu4mE 5NeY+q2frVwxdlL+LUiprRycMuRAq8PXpkhRbP1qzwu2l48mpj0Ha1/3tpefJqBNe9zds1Pf MqqYXD08BCq2frVnhdtMx5NTCWdrVuqi3bS8+TUDO0i5yT1C7ZE4rn4SXLfVVosiquT7nZ5i tup9kahx1p63FdlMWJDX1DDd3pJEsa2tU5aek49UuOnzFOZCaiQ4bMLgCXgYaipzqZCgAAAA AAAAAAAADDvWqV72q+Nw2yuOlfOWEd6xfEV62q3NSv2zlUTivnLGfrpOtuY6ySHHj1MzzHon nW4n2DkFz/VmeY9EjQAABxiesU5HGJ6xQKY/VBfZBSvJN85P2y0mdF6Px/KIB+qC+yCleSb5 yf8AZY7i9Iz3nfMXxmdpR6Ctm3zjscSOOblneYsn0FbNvdUXTiRVPzzvMIt6Q3paxjaha6tb uqsBufDxLFbT3sMonlm/JQrbpBGjRajbqRm4RkNqM4dGSyW097DKJ5ZvyUKxOqqhNcNV6b5J /mLPbIy/YycT9q/zlYptVdqvTEXogv8AMWd2Rs9a5xOjlX+cUnaHtdkzdN3cfx5pumvc8pXH /nHzm467p/Kq7efPLmnaaJ/N3Sl/8x84RbjVv8H+c8izzlNtT1xVqAv68IuTq3+D/OeRZ5ym up/32oHt4QjV7T9s1uzqNU1z0s8w2pcdkdF6etq+Y5bNvdGqa8MZZ5jjtSp/OQi9PW1fMPU/ lWvTjjAuZV7yecvXpj3FH/u93yFKK6covIXNledE5vGXp0w7ij/3e75Cir89qU6o9z6S90RP lEjaE+za3E/7JCOdUe59Je6InyiR9B1Rb3tzPP1EhWUz7U32+zfd3zFVKMudfah4opavalz1 RZ3Njq35iqlG7vtQ8UUkavazmyT90VL3/OQLtaYS+p7yjietkn7oqXv+cgXa2RUvme4/jHD1 PHq6Otauz/Noq/0ohaXS9MaF0xE/QF+cq3o7n0v03lemIWk0tTOhVLTm+sF5/fJVnamuin4Q Mwmcr1Yvyj9DYfrneJD88dE0T0wcxlcfXi/KP0Oh+ud4kFX5cwARoAAAAAAAAAAAAAAAAAAA +MxHl4WOWjw4XHhvvRPOfV6ZaqZwU726a1WZS5JKTlJ6PAlVaxz2wnq1f9AluPTqcxLem8lY nVMHc6o9dvpjm75um2ZVKdH0kiQ4E7AivbNJlrXoq9JVq0KNQK/XZOHM1Wbp0zHX7smJhURF 7+TatYNL6TQ7EfVZG82ViK2LhWMmlenwGmN4Wo2VXtiaIUNzebdd5yUSCdl69LUpui1GlJ+4 afLTLGuR8OJFRHN494l2jXTbtYjchS6zJTkXGd2FERymW49kABQAAAAAAAFYL/X/AIspfKf1 aEWdZnjnmwhWG/sLtZQMfo8Is7Dzle9hC1mOZG+0njsM1/H5tPOSQRvtKdxmveTTzkW9Nd2Q FxpTnH475j77XCY0Zq2PzJ8dj/CaVf43zH32uc9hqrZ/NF9SdIo+p9feab9upbhnrefJUf6n z95Zr26luGet6BVjIAIrDubnxxID157qlmcP+YtJ8VcJzZIC16VOyrZaZx9kWljP0n4AEaAA AAAAAAAAAAAAAAAABGO0RZs7eNjxKdIzT4LoaK527/STvFYNm3R2sxL2marKzkSEtIj8k9UX nLuXE5Osk6mcYhLxIb2U1RZ+8VR2fsgXxmzlOEqxzIENr3KrmsRF8Kn1AI0ABUymAK57fSfz TQPdSeYiqxVzsp13hjMNnyiVtvfhpLA90oRPY+PSpVzP5tnyixi9tp2is+lVoadGIXyTcNk+ i064tE4VMq0uyZlnwlbuPTKIabtGPamytQmKvFUhY/hNt2PLmt+m6YS0GoVmTloqM4siRERU 4g9V91WtJmmeutOlqDMvYyYjteiN4bqK71pPe2NW6pKaS05sGO+D1XCRsZGr65MdJD+1FVKb U9e6JMU6dgzcJHw0V8N2U9cSdtqOR2k9DVF54aeYo87Yp0xoE3QXXZUoDJuaZFRGNe3OPCa1 toIialyTUTCJERET3iS9jS5bfp2mDpeoVmTlY3KtXciREReYibbDrFLn9Q5WZkJ+BNQkiIrn Q3ZRB6eJe2I/YJcXutfkqV4v7htRwFzj65b5ywuw85r7BuB7Vy1ZpVRf/VSvWoPDail/dLfO Dx+glu4WiySqvHkkPRPOtxydZJNMc8JD0TLcAAAC8wMOxjK9AFRdu68otLq1vychGVIjXeqK i83EsppdVoVXsOkzcN+8vUsNHr4cFIdryhXVVdUo8Z0lHWTWL9aruLhU8BaHZGg1yV0vhylf l4sGYa/tEe3GWY4BEyAAKAAAAAAAAAAAAdKrVWQpUFIs/NQ5dirjee7CAd01i8rKpF0TUpMV GE17pX7XlOY2NkaG+C2MxyOhuRFRyc2O+afdWplmUCYWWnq1Kcu3g6EkVN5vjQJW3ysBkvLw 4LEw2G1Gt8SH1NHtjVWy69MpKytZlGRl4NY+KmXeI3hqo5EVFyihQAADjE9YpyOMT1igUx+q CeyCleSb5yftllFXRej8e+QD9UE9kFK8k3zk/bLK40Wo/P8A0i+MztKXQVs2+OGnEj0erO8x ZPoK2be6504kVXn5Z3mEW9Ie0wT69tbhw5BvnLD7T3sMonlm/JQrbpC+YiVG3eWTCNhNRniy WS2nvYZRPLN+ShWJ1VUJxFTVamqvTBf5iz2yIq9aZzKfjX+crFNJnVam8fxL/MWd2ReFJnE/ av8AOKTtD2uvG6buwuPVzTdNO55SuP8Azj5zctd8pdN3Yx9vNN00T+bulL/5j5wi3Grf4P8A OeRZ5ymuqH32oGfy4RcrVv8AB/nPIs85TXU/77UD28IRq9p/2a3Z1GqiJzZZ5jG1Kv8AOQne 62r5hs1rnUaqcOGWeYbUueyOne62r5h6n8q16dYdCuZWrwwnnL16Y9xR/wC73fIUorpznqe5 uHQnnL06YdxR/wC73fIUVfntSnVHufSXuiJ8okfQfHo1tzhx6iQjjVDufSXuiJ8okfQdE9G9 tqn6EhWU0bUv2+zuHDq35iqdG7vtQ8UUtZtS/b7OTP8AXfmKp0bu/VDxRSRq9rObJP3RUvf8 5Au1r7Op7yjietkn7oqXv+cgXa0yl8z6/tHD1PHq6OIvpfpvpXMQtLpbx0KpmV/qC/OVb0c/ B+m/HELSaXdwqme4F+clWdqaaJK1doKZRebqxflH6HQ/XO8SH546J8NoKYVP0xflH6HQ/XO8 SCny5gAjYAAAAAAAAAAAAAAAAAAMOxjjzFMdubC3vKov5hpc2JxYpTLbm9m8r5BpYz9dNDsW 1afdNftqjTrmwIMwrkc9Vx0HCrWDLy0WpSsCrvSVgTboaQ0XLVRF5z50C26jdU9blGpM2srN xt5GREduqnDvnq0ugz9Dtyr0SoTPLTiTb2corsqq82cmnPxJti7PFo1eypWox6yyBEisVXYc nD/Uiqy5OfsutTlWolUir1LVkk0ai8Hs3sZNstDZ81Dq9rS87KXS+BCioqthrMOTCeI1a25C Yo1sTlKn4yRZiWrzIcR+c7yo4jVX3osy6bpUvMPbuufDaqp4cHbOhbuFokphOHJN8x3lXCZM ujIAAAAAAAKwX8uNrKX4f1aEWdZnK55sIVhv78LKX9zQizzE4rx6ELWY5Eb7SnDRmvdHqaec kgjfaTx2Ga95NPORb017Y/x2Kv8AG+Y+21xlNGatn8yfHZARF0qwvNy3zH32uO4zVsfmekvq TpFH1Pr7zTft1LcM5ubBUf6n195pv26luIaYbz5FWMgHWqU/J06VfNT0zDl4DEy58R2EQiuy a1ctmUuu1mn1SbhtWPIxUiw1VOk8ST1dsOYqyyLa9JtfvbqPWMm6qm9ysxAmoDY8tFZFhOTL XtXKKE7fUHl3NXKdQKd1dU4zYMDeRu85cJleY78rHhzEvDjwnIrIjUc1e+ihX1AAAAAAAAAA AAAAAAAPEui6rft2FvVmqSsmq8WtiREaq+ID1pmBDjwIkGIiK16YceFZtpUu2Ys++nQ2sWci 8pFwnSeEmr1hZVev8l8chlmrthb+Ov8AJJvLz8sgThvwOjSavTatKNmqZOQZuC7mfCcjkO8F AABXXb47k0D3ShE9jfgp1zhn1NnyiWNvjuTQPdKeYiex8psp13HPybPlFYvacksCV1E0BplF moiw3tlmPhuRM9tu8EK+Q9l2/wCBHiwpeYjw4KL2qo7nQsEuoEvpzs/UyuTDVfEWWYyE1Pyt 3gQHL7T+qs4+JMSVMZHgqvaqyAqpgFxsGlWy9W4V3QKjdUxEZAl3o9u9x3lReBYnWbTWRvqy usiuSE+FD3YDkTmUrvpttR3St3S1MvKSbDgTD0Y1Gw8ORVXCFhta9TJSwrGdWkbykePC3pbh lM46QszFUYWy7f8ALxosKXmI7YTXYYqO9cnfMJss31MTsJs1Fiuhvdh71XO6h95Taf1VnN+N JUxsaA53aubBVUQ4xdqfUyTm2NqElCgI1e2a+DhVQqcLX6PafyundlvpEvE5R8SHvxXYxl2C leoKr6aKX6frlvnLpaM6hSeo1kuq0GG5keFD3I6LwTex0FLtQcemklkT9Jb5yLX6B2795JPh +KQ9E863k+w0mufxSHokagAAAXmUBU4YAhHaV+76EnBO2Xo8JL1ur9hZFMJ9zs4+8RhtA0ap 1Ofoq0+XfGbCVd9WtzjiSjQoT4dIk2vTDmwGtVPDgI7x8puYhy0tFjxFw2ExXu8SH1POuZF9 D1R73Uz/AJKhXRtG7KVcrYy02NynJcHcOY98hTZjykvU8NwiLw4eEmtvNxAAAAAAAAAwq4RV IS2tFd6C4StcrfVWcUX9Ym4jPaCsis3raLpChxIMObRUVixVwnBchK71yVGcpmir5ySz1Qyl orXIvFq7nORXoPo7a10WzDu67YDKzUKgnKOWIq5YuT6xbb2gotuOocSPQXSzpfqdc8+7jBtG zbY182RKT0nc81KxpeI5FgNhOzuoUa/rVonZ9LtWNcNsycOjVCnosdsSG5cu3UzgkbZ9rs5c ek9Gqs/Ec+ZiQ15RV51wuDTtcrY1Eve4YFv0qPLy9u5R0w7O69ydKZJTsO3Ja1LVkaDJ/aZZ m6mSD3QAFDjE9YpyOMT1igUx+qC+yCleSb5yf9ljuL0jxO+YgD6oL7IKVn803zk/bLKomi1H x+sXxmdpS6Ctm3uudOJFf2zvMWT6Ctm3v3OJHyzvMIt6Q9pcq9W2si/mG4+EsPtPewyieWb8 lCt2kLY6VG3eW5lhN3PFksjtPewyieWb8lCsTqqozmOytTPIv8xZ3ZFVOtU4mPxr/OVhm+6t TvJP8xZ7ZGx1rnO/yr/OKTtDuu3squ3HPy5p2mnc8pS5/wCcfObjrtlbou/HPy5p2mnc6pX7 4+cItxq3+D9OeRZ5ymup/GrUD20IuVq3+D/OeRZ5ym2p6/ZWgJ+vCEavaftmvujVPxs4e8Y2 pVTskIn/AI1fMZ2a0VNRqp3ssx8Bjal7pCJ09bV8w9T+Va9O88hcqJxTCecvVph3FH/u93yF KLacoqS9zcUzup5y9OmHcUf+73fIUVfntSnVHufSXuiJ8okfQdcXrbi4/qSEcao9z6S90RPl KSPoTj0bW2iov3EhWUz7UyfXFmr/AN78xVSjJ/P7UPFFLV7U32+zfdvzFVKP3fqh4onmUk6a vazmyT90VL3/ADkC7Wvs6nvKOJ62Sfuipe/5yBdrVM31PeUcPU8eto6v/D9N5THGIWk0t7hV M9wL85VrR1FTZ+m/HELS6WpnQqmJ/wBgvzkqztTTRFV9MHM8P64vyj9DofrneJD88dFET0wE xlePVq83tj9DofrneJBV+XMA+E/Ny0jKRJubjMgwYaZe964REI0+yuRFwqhVRE5yrOre1ZTq NPRqfa0JI8eG5Wq+I3LVVO8RbK7WmoMOddGjS8m6DniiM6C4z+l+GqjkyhkgLQzaPoN7Rm0q quSUqTuZXYaxfAT3DdvJnn4ZyRZXIABQAAAAAAAAAAYcuGqpS/btfyV5SkRycFgtRPCpdB2c cCme3VFZAvikzERm/DhLDe9uM5RCxn6RlY77oqlZokG1ZeNBqEFVRkRrV51Nk1E08v8Ata1Z m57hqEaHEfMKqw1/pOXpJe05130xlKfT5VaMspNoxEWMkFG8e/k4bTN929eOisaJR5xsRWTS IrFciu4FZyY0jTSFrtVbJk56hT822QiIqQt1Uxg9bSnQm9Ju4okzeExFgyj5nql7HJlHvRc5 Nl0B1itG3tI6VTKjMvZMS6Kj2o5O+TrZt3UK6ZZJikT8KMiplYaPRXJ7wWSV9roqsK17Sm6p yfKQ5GBvbnNnBVye20IcvNxoLbVa9IblRHcqvEsdrJAizGmdfgwYbokR8sqNa1Mqp+X9Wtm4 uuc1ihzy9uv4lRMxb2/STQrVeW1Ktxaq6VhSDk4rDWJzfCSRBmIEb7VGhv8AauRSkezFoxUL ktpZufqFWpKKi+pw4iw/9Da9DpWrWztCRLbi1icnJNEiYbGjK7mH5/w1bYGGLlF8Zky0GFVc 4xwMgCsGoGfTZS+U/q0Is7DRMrx44QrFf6r6bKX9zQizkP1zvEhazHMjfaT7jNe6fU085I+e OMKRxtKdxmveTTzkW9Ne2QEzpV/jfMffa4XOjNWXH4o6+x+irpVhOflvmOxtc9xqrZ/Ml9Sd Io+p9feab9upbeGiI3guSpH1Pr7zTft1Lbw0w3AqxyVUTnK/7UU3OVWv21Z8KafKSlRmuSmX IvB7VLAEZa86dx74pMtGpcVIFXpzliykTOE3/CpCvGmdnTTp9uMkYFMhQp1rExNoq5V35Ro1 LuC9tDay2mXMkesWvFfuwp5/NCTxeAljQ99+Q6NEp98tlnTEs5IcJ8JPXNTpVTdbhotOr1Jj U6qysKYgRGqio9qLjwoBC+0tXqVc+hzKrSJlkxKxZuA5HNdhfXJ0ExWWiLalM8EtD+ShV7VX Qe7adHbAs6efFoceZZFjS8Z6ru4dzNToQtRbMtElLfkZaKmHw4DGu8aIUj0QARQAAAAAAAAA AAABwmInJQHxMZ3Uzgq7Z9qwdX9Tq7PXbHWZkaTNOl4Uo9eCoWkVFXhhFTpK53zp5flm3rMX hpzGgPhzT1fNS8Zcorl8ASt7XZ/0tz7GoP8AEpwj7Pul0SC+G23ILVc1URd5eC980NL315cm UpdN8PqJwfeevsRroUOmU5HPTCKsFeGQcOOjkKc091zqmn8vOPm6S2WSNBZnhDVyllkVF94h XQbTKuUWuTd5XlMMmK9Os3Hbrsta3owTS3m484IyYXKJwTJkBVdNvfuTQPdKeYiix1/4U66u fxbPlEr7fCZ0mge6UIosfhsp13ybPlFjF7bNtFtauyvQ3KmeELj/AOpuGx3b9EqGl0rFmqdC ixdzi9yc/E1DaLyuypQ+9iF8k27ZUr9NtnRCHVKrHbBgQoSu4rhXcegHqGdqOnU6Q18ocCQl WS8Pfh5Y3mVd7nJM202tTSiho1MJyfzEKal3W/VHXOnTdClYkVkCO1iK1ueCO5yfdsag1Wb0 npqQYDozpWFmNuNzjgUc9jSgUWoaXPjTtOhRoiRmplyEUbYtMp0lqHKQJSVZCYsRMo1Oc3DY p1Qt6TobrOqsVZWffFRYavXdbw6PGa1to90qTcnMr0VPDwHp4k7Yfa1lg3C1qYak0uE/9VK8 6gJ/xRy+OfqlvnLD7EXsEuL3WvyVK8agcNqOXX/uW+cenj9BLdRes0l4ISHpHnW795ZJc/ik PRMtwAAAAAFRF50QAACKtpq8arZWnkxU6bJrNLF9Rc1FxhFTnJVVcJk0nWqgQ7g05qko9Edu QHxGovfRFBVUdljV+uTd8QbfgU1XQpyLuxYmfWcS8bEVGoirlSkmwTacSJd1cqE3CRvUj8sV U8OC7bEXiqrzqEjIACgAAAAAYVURMqqInhMkZ7RlDuOtadTsK2ZuJLVBqIrFhvVq4TnAklYs FOeIxP8A2QJFhdERn8SFLNKNN7ovakvixLurUvPwYiw4sJ8yrebgq4N29Lxd399av/m1KmrO 8pCz69nwoc0VFTKKioVf9LxeCORUvWr8F/S1LB2DR5mg2nJUqcmYk1HgM3XRXu3nO8akHugA KHGJ6xTkcYnrFApj9UF9kFK8k3zk/wCyx3FqR4nEAfVBOFwUryTfOT9sspnRej9Hri+MztKR Wzb47nEju83LO8xZMrVt+NVdO6erV4JHdn4BFvSH9L0ck9ayuT8Q3HwliNp3jZlDT9s35KFY dGqdPy1z25NzMdXyz4SK1m9nCZLLbWEGJM2BSYMF6siPiIjVRcY7UrE6qrU2xeyxTEwmeRf0 +As7sj8KXOJn8a/zlP41EqyX1JSKza9UvhuVr9/mTxlttjKXjS1vTMKYfvxEiPRVznpFJ2ij XVFW6LuVFThHNN0zaq6dUt2Ex157/hPc2jafOzV+XHMy0dWQoUb1Ru9jeNH06pNUiUGlVNsz iT66I3k97pzz4CLp6t/g/wA55FnnKb6oNVKtb+ccXwekuRq2mdn2dROdZdqFGL4pFSlKjTGT My6I6M9nJLvZ3c8wi3tZ3ZsRyaj1Te4cWeYbUjVXUZMf2avmPK2SafOSF91OFPR1ixMt472e gbYsjNz2oMGHJxlhPbIbzlzjKD0/lX/TlqrL3PlMJhOnwl6dMOGij/3e75Cn5/2jTZ+aSs9T zG4kHHKdtje4l/8AS5FboirXcVSnuz/Aoq/PaleqTXJp5IrhMLMxOn9ZSR9CUcl7233uok4E Qah0yoQKAyoRZhXykaO9IcPe9b2y9BI+zjTp2V1EokeajufDiS28xN7OEKysBtSNzMWdhMu6 t+YqnRkVdfqg3dTe9V6Sze2JJTc9J2rLSUXko0Sa3WOzjC4KiU6jVWJqnNUtk0qTzEfvRd7n xz8STpb2t3slIqTFSRfD5yBNrXPo5ns/nHE4bGcvHlYM/BmYixIjUXLs56SCNriBF7Ic5ER6 7u+7hkenjYNG4cRdnubdhMZidJaPS3CaF0zKf1BfnKU6dWxcM/pdFq0nUHQpBjnb0LlMZxz8 C62lfDQul54/Y9fMoqztTLRRMbQMx7tX5R+h8P1zvEh+dmisN67QUwm9zTyr/wD6P0Thc6+J CVflyVeHPzlVduHUuapdMg2pSZpUdNIrJlGrx8Bal/O3xn5zbYPVPZmqPKb/ACfLep73N7wh 9N30S0ct2FpzUb2vqNCcjoD0l4MReO9jg4i7SCds2W1FiSt0SkOapEeKrWq5cI1Mma3beokt p/CrLqnHm6G5UbyUCKrkb40NGoFJnq5VJemU6A981EdhuG5wpWUk692RLWBdctWrWqKRqfMY mYDoa4SHlco0uRst3869NOZR07M8tUoDMR1Xnx0FIdXLAvOyJKVh3VUUjNjQkfChLEVVanRw LDfU+4cZtMrD3tcjHQ27qqnDnIs7W0TimUBiH6xDJGwAAAAAAAAAAcYiqjFVCmu3I1HXnLo7 m6naXLciKmFKY7crHrfMs9F4JLt4FjP10i2UZKyyW5EdQlq2d7el0XHKHnRabNTdNnqjLS75 GWbNqiyCrnHHmN008rdKoVwWlUqyjepIauV+9zcx952s0qekKpUpRESUdU3PTCcN3Jph51Ln pCHa7N/SyJHVrVzMpEXj4TGjNTrFu1VLipM1ElIUWfbAdJ5zuo5eYn2z9Y9LafZcvLTsOA57 GKj27jVypBdCmpaemZupSSIySj11r4Le81XcCLV+YLUmJJnLIjmxIbVci+FDzHWzQ1c5y0yC qqvHtU4nqSH3DA8m3zH2MujqSMjKyDGwpSC2EzvNTBWOxvws4/8AilplTtkXvFWrJRE2s42O lIpv59Z+vFpW44475kw1ERFwZMNAymcAYArBf+PTZS+P0aEWaV6Q2RHrzNbn4EKy6gY9NnLp /wBtCLGV6BGmaNOQJd+5FdCXdXPgLWYrdWdpSchakdQytMc6kQ4/U8WLvcGqi4VSUdeqjK1b QWr1CTipEgRoDXMcnjKOTcpGZWqjJRIitmXVKIjYar2zl3u8W6uSUmZLZIiS02xzIzJRN5HJ hecuJL29PZAz2KuH575j77XOOw1Vsc3JHX2QFVNKf8b5j77XPDRirY/Mk9WdIp+p9feab9up bhnrebBUb6nz95Zr26luWet4ZFWMnyiTMCHFSE+K1rl5kVcZPqRxrXYNQvCnwIlHqkxIz8q5 XwuTibrXL4SKkRXshtc9zkRqJvKveQgzUHXyJIXFGt+zaE64ZyD9s5J2N01R2o2pGnknM0a+ aU6clOQfDhR5SGr3cyoiqpnZDrlnzMvPxJp8tAqz3uc502qNeqKvBOIRs1ka+TEa4ZehXvbr 7ejR/tb4rs7xPEJ7IkJsSGqKxyIrVTpRSuW1zUbWmbalJOmulZi4HzMJYDpdUc9rd7jzE72S yZh2rTWTi+rJLQ8/woCPYAAUAAAAAAAAAAAAACGtUtb5e2a+237epC16qORd6Ax2FaqEwzCP dAe2GqI9UXdz3ytGhsxQKfqvdUG51gw6o+eestEmsJ2v6qr0BK2C3NoaThRJmXvmi+huPCh7 0NsRc76948SPrPqJWpmPULWsWNN0iXd2sZqpiK3vnnbZ07Z8zIUNkJJWamWTeYyyuHORv62O gmvSao25D04paSE1Iw4CSyco1Hoip40KOlorqnI6gSkSFEluoKtAykeUVeLcdJJJWixHyk/t UVmZtbcSnpJtSK6F9rVc8ebpLLkIAAKrpt9dyaBx/rKeYiixkzsp1xP2bPlEr7fHcmge6U8x FNjr/wAKldVPzbPlFYvbdNcqNP1nZaozabCdGdCZCc9jU6EbxUrVa83et2y8jYdNdMLLI7k+ TRqoicT9BNIYErH0ppUOchwYkBZRm+kRO1xuno27RbGlKm6NRZekJNqucwd3fRfBgauIUt+h 2Bs+2nAqNbbAmLhiMR2HJ2yZ6DhSNp617inEo1xUPqKnTS8m+LEyqKhp2vSS0/tKUqUup72U xGNVrXesVc8M5JL2k7e07dpJPTUGHSpaagy6OlVgbqOcvvBFfNoOxX025Je6bDpbutmUjtjw V4ZzlFI8vbUmqXbEkY1XhRIs5KuRFeqcXY4YLj7JzFqOjkVtywIay6KjIbphOG5jn4n07G+i y11I61GQ5Xfzuco3dyDEZ7M133Ratm1GHDtCPOQp2JyzIiOxhMEK3jW52Z15hVeJTHQphsZr up88V4n6L02m0iWo/IU2WlllmwlRjobUVFTHgKF3pCYu1XLwnQk3VmGdqicOcLVmaTq9dECl yzEsSO5EhojXb/Odrsy3T/cKY+MUlikyMolNlmrKQ8JDTnbzHaSRk+P1pCx7Uioc7Mt0/wBw pj4xR2Zbp/uFMfGKTGkjJ4VVlIXg7UJISmPuSD/CDlDvZkunGfQFMfGHFdZrpTmsKYX/ABFJ j6gk1d9ywsJ+qZ6hksfckP8AgAhxdZbpRMrYUx8YZ7Mt0/3CmPjCYuoZPOFlIWOjtQ2RlFRc ykJF9qBDvZlun+4Ux8Yp1apq/cszS5uBEsOOjHQXI9VicyKnEmvqGUymZSF4e1OhcMnKpQaj uSkNPrZ/Hd8CgVk0av8Am6C2oxaHZb5nlV9U3HYxxLN2fWJqtUWHPTUg6SiuRFWEq5wRVs0S 0F0rU0fKw1wq8d3n4k2wmNYxGsajU7yIByAAUAAAAADjEaitVFajspjCnJVwmSM9om9Zu0LC jx6UiOqMZWsgovNxXAG206j27SKxEmJSHBgTkZMOw7Gc+A9iNFgS8B8WM9sOG3ncq8CtNB0K uutUNteqt5VWDVpliRocKHMLuJvJlENYosrqRfl3RdOazPzUhIUV/Ix5uC9UfF8OekItjSq1 Sqm90KSnYUw5nOjXcUPTRUVVROgqzf2jVU07pTLqs+56rMx5J3KTEKPFXccxvFSeNHrniXfp 7TK/Ga1sWZh5eje+nADbgAFDjE9YpyOMT1igUx+qCeyCleSb5yf9ljPYXpGe875iAPqgvsgp Xkm+cn7ZZT+Zej5Xvl8ZnaUugrZt8Y7HEjjm5Z3mLJ9BWzb37nEj5Z3N4hFvSHNLsLPWsqOz iA3Pwlidp72GUTyzfkoVv0kl3S9SttVerkiQmrx6OJZDae9hlE8s35KFYnVVPm+6vTfJP8xZ /ZGT7Fzi5/Gv85WGb4arU3wwX+Ys/sjfeqc5vtr/ADik7Q3rxj0V3bnn5c0/TTueUrj/AM4+ c3LXfHopu5f25p2mnc7pX74+cItvq3+D/OeRZ5ymup64q9A9vCLlat/g/wA55FnnKa6n/fag e3hCNXtP+zamNR6mmeZWeYxtTIi6jp+7V8xnZsz2RqnlE52eYxtS90hP3avmHqfyrZp0jeQu ZMYwiecvTpj3FH/u93yFKK6d55C5s8+E85erTDuKO/d7vkKKvz2pTqkqt0+kVTj9cxPe7ZSS dCmol6W3l3PJIpG2qPc+k/dET5SkjaE4W9bb51XqJCspo2pk9Xs5V5urfmKqUbHZ7qCIvDEU tZtSriNZ3u35iqdG3V18n/FFJFvazmyT90VL3/OQLtbezme8o4nrZJ+6Kl7/AJyBdrX2dT/l HD08ero8mdn6bz34haXSxP5iqX7gX5yrejmU2fpvPfiFpNLe4VTPcC/OSrO1NNFPwgpjhler F+UfodD9c7xIfnjomqemCmE4/di/KP0Oh+ud4kFX5clTwcxVjbf02mKvTINz0mVV75VFdM7q cVLUHxnJWWnJZ8tNQWRoMRMPY9MopFsfmfpdqtUbRp01QKlLun6RGa5FlXJ6169OVOelmoFK su/Y9yJS0jwkfvwYGfWlstTtmO0rnjxJ+nuiSUy5eMOGiNaRpJ7H0briqTE85JXPBUfxwa1n EHX1ddz6yX818RIsZ8WJuQYSJ9rYq8E94vrs+WJDsXT6SpkSGnVis9WfjCrk6uk+iNp2BCbE k5dJua51ixmoqovgUlJEROZCLIImEwgAI0AAAAAAAAAADD0y1eOCme3Q9IV4yz16YDUTxlzH JlMKV82otFa3qJUZap0KLD6ohI1u5FfhuELGfqbFXrdnKfUp+hSM1Q31lktlI0qx26rs83E7 FwWtc1MoU3VUo0akW8s2v1s9c8O9k5UmyL5ouqiWpKw5VlYe/cRyOwmfGbTrRY2rNvWYszcs 7BfS+WRHQ4cfe4+I0w+VstsqbtOBEh6VTc5Ecip1S2MuHr3zZNCtH7mrNbdHqUpFpFCbMpMQ peImcYXKcSedmWm06PotRIjpGA9ytXKub4SVoMGHBajYTUY1ExupzGdbkZgQ+ShMhovBrUan vHMAjTi717SrVjoqbWcfP7UtMuN5O+VZsfPps4+f2pv46rP14tLD5l8ZyMN6c98yYaBlM4Aw mQKv6gJ/xZy6KuV6mhFnGta7KKnRhSsl/wCF2spf3NCLOw14qmOhC1mIzqGiNizl5MuWLTGL NMckREz/AEs5yfTaORG6K11rERqNhIiInRxJKwmckb7SncZr3k085FvTXtj9caVZ/bfMffa5 ymjVW6V5I+GyAqdir/G+Y++1wi9hmrIq/iS+pOkUfU+vvNN+3UtvDVVblSpH1Pr7zTft1Lbw 1y3IqxyMKic69BkhTaYu6uSMOlWpbL0ZP1mMsBYmcKzwopFSzOw6VU0iSE0svHRyYdDXCqQ3 qDoLZD5haxIxmUOZVcui7/BfeNafoRdVLoKVuBeNWiVmAzlokJ0wu4qpxVDW9P6TeWt9TmEu uoT1HkZJdxqS71bv7q44lRJelmjFpStVbXo1Qh1ychL2kTeyjfeJyYxrGo1qYREwieAqjfVk VvQ+clLut2v1CoUlIjYczBmouUy5ccxaG3p9lTo0pUGLwjQWvXxqmSDvgAKAAAAAAAAAAAAA GEzkinVXRe3r0nW1NipJVNiYSO1VTzEquXdarl6EyQDc201bNHumcoHW+fjzMrEVjmw4CuVc d4JXr2Ts/wBrUl0xGrWKrMx2bjnuVeY1yq7OdQh1CZ9Dl1rTKdHfl0vuquE7w9NFREVfsBWf 8o4JtR0XpoNY8P1o4pqUNI9M6Hp/S1gyDEiTcTPLTHS/JvaJhMIRNpJrRT79rkalylMn5V0J m+ro8BWIvvqSyRYBURUwoAFdNvfuSwPdKET2PhNlKuZ/Ns+USzt8dyaB7pQiex+GylXOGfU2 fKKxe2/6t3VVrT2Y6RMUeI6DEjQocN0RO8reYrRZl23vZlRkbtSJMvlIz95XKqqj0yWA2iV/ 4U6H4oXyTYNmuzqLe2hDKPWJWG9kSErWxd3L2cedCnb71Sl2dtEW1KTspUYEpcEKG3L89s1U PClNmOsxpiC66bv6qpcou9yTsoioQzX6FW9G9aZKlUyfisgR5hqsRr+diu6Sxu1zd1YpOlUj EkYzoESdhYiOY7CpwIIX141DqNCiQrCs+stiSCIkLdgpzLzYIfuO0biobZOLUZ2YhTE27KMc 5cp05J82RNHqfdED0Z3DGfMxIcVN1r+KOXnyp09sqFDgaiyMCCxGQ2PajWpzJwKPe2d5jVG4 rOm4dNuR8GWkV5LCszzIQpcMtcTdf4MvMT+9V+WajY27057xaDYh9gdw+61+SpAlzwnxtrKV Y1e2WZZx98hvCx8pQtZepYKw7oduq1OHJ8x9Eoes6Jxuh6/4ZNtPhvhycBjlyrWIinYVM9OC NIK6xa0cf5Uu8HqYdQ9aOGLof8WTq5M9KoETjnKhUFrQtZ8+yl2PJmEoetCJxuh6/wCGTqiY zxUImExlQILSiazr/wBTvT/DCULWdEXN0uz5MnNGqiKm8plUymMqgRBSULWjh/Kl3xZ8ahb+ sUWQmWR7qckF0JyPzD6ME945uK8DXtR6nCpNlVacixNzErERvHp3VArxpna+o8lBnIVEutFX PbbsPwljbIgVmBRIcOuTKzM2iJvPVMZKzbDd7RazW7gkp6O5zt71LeXwltU8eQQAAUAAAAAF TKYIx2irMnLrsWMylZ64QFa+FhM5wucEnACJNAb8q1wSiUCuUSYp85T4aMV8T+mjeGSSZOjU 2VqMxUIEs1kxGXeiPxxcp2JanycCYdMwpWFDjO4Oe1OKnaAr9tEX/VI027T23qNMTU1Ot3Is ZnFGMdwVSTtFLZi2lpvS6HMLmNAh9uvhVcmydZqX1y64db4HVWMctu9tg74AAADjE9YpyOMT 1igUx+qCeyCleSb5yftlnhotR8cecgH6oL7IKV5JvnJ/2WMdhakY7zi+MztKPQVs29+GnEjw x6s7zFk+grZt79ziR8s7zCLekN6WPY+etfdei7sFqL4OJYrae9hlE8s35KFcNJJVsvUbbXeV 3KQmr4uJY/ae9hlE8s35KFYnVVQm+6tTfIv8xZ/ZGx1qnO/yr/OVgm+6vTfIv8xZ/ZG+9U55 V/nFJ2h3XZqLdV255uXNN01x2PKX++PnNy129lV3eXNN00x2O6V3+vHzhFuNW/wf5zyLPOU1 1Q4Vage3hFytW/wf5zyLPOU21PTNWoHt4QjV7T9s1uV2o1TVebLPMY2pV/nITh/y1fMZ2a0R NRqmiL0s8xjalz2SE73W1fMPU/lWzTpfULmwnQnnL06YdxR37vd8hSi2nSZg3KvNwTzl6tMe 4o/93u+Qoq/PalGqHc/kvdET5RI+g/C97cTP9SQjjVHufSXuiJ8pSR9B+F724n/ZIVlM+1Lw mLOX/vfmKqUfu/T/AIopaval+6bNX/vfmKqUbjr7UP8AFJOmr2s5sk/dFS9/zkC7Wi/y6nuP 4xxPWyT90VL3/OQJtbezqeX9o4ep49fRz8H6b8cQtJpd3CqZ7gX5yreji52fptfDELSaXdwq l+4F+clWdqaaJ59MFMKn6Yvyj9DofrneJD88dFE/4gZhc4+vF+UfodD9c7xIKfLmACNsKiKN 1N7PSZAAAAAAAAAAAAAAAAAA4xOdvjORxfzt8YFVKl+F/K+6fmN620+Gj7/dSfOaJUvwv5X3 T8xve2muNH3+6k+c0x5WybLXDRKh4/Id5yTyMNlnuJUP2jvOSeZanQAQ1tCa20zTiV63SmJu sx25hQk4onwdIW1K9UqUjTYPVE/NQ5aG3nV6lUbPue3YW1BFqUSry6Sq8oiRFXhx5jVLes3W HV+NFrE9UZun06MuWwuUVuE8Sm6zWyTSpShOqLrknIVTa3LnOeiNz4zUuMXlaal1KSqMBI8j Mw5mGq8HMU7iKi8ylDo1K1Y0pSDclLqE1VKKyLhIaxFci458onQWW0B1opepNPWFERJaqw8J FgYxx6cExqVLYMIqLzGSKq/f/wCFlL8c/W0Is9DVVVU7yIViv3CbWUD3NCLOsXiqY6ELWY5E b7SncZr3D8WnnJII32k+4zXun1NPORb017Y/ROxV23FOW+Y++1z3Gat0eonw2QE/mq/xvmPv tcLnRmrKqfii+pOkUfU+vvNN+3Utwz1vNgqP9T6+8037dS3DPW8+RVjJCW0ra9bmnUe7Ldgv jTdHjLHdBamVieBCbTD2te1WuRFavBUUitD0cvWZvi23x6lSI1OmoPqUaHF51XHE2yl0enUr leopZsFHZV2E5zsSMlKSe/1NLQ4O+uXbiY3lOyqcMAVf1quiuamV5dOKHRZhkrBmWrMTWMty 1clj7cpzKZQpKRRMcjBY1fGicTlJ0emSc3EmpWQgQY0VcviNbhXL4TvhAABQAAAAAAAAAAAA AIT1E0ie6/JW8rYSDLzLVxMQ1ZvcpleKk2BUynPgDxZOgUp0pCdGpkukXcTf9TTn6T6pbtFX j1tlvi0PVAHSkqTTpKIsSVlIMJ68FVrEQ7oAAAwuccOcCu23x3JoHulPMRPY3DZTrnHHqbPl Er7e/clge6U8xFFjfgp13ybPlFYvbZ9otUTZUoaKvHEL5JIOxU5iaVSyco1VRnFM83E61x2D MaibONLo0sqJMQ4EOIzjjKo3mK5UrT3W63OUptLmZmVhQ1xuwoio3AOmybWL2P2g6HuREeiP h5VOjtiRdtNyLpRRFTinJp5iMdOtENRbovmUql0PiPhS0Rr1ixH5dwXOOJZzaB0xffWnzaTI vVJuUhYgNzhHLjpKNY2I3M7FD+3anqzedSIdtNzG6lyiq9ExETPgNMpGnettuw4tMpUzNSsG G/i2FEVEVU6TrT+kmrtyVaH11SJNTEVyI2JFeq498IsTsSvT0AXI5rs/XLlRf/VSA+WfH2rp OJEXLurGp/qW20B06i6daezVOm3q6bmGLEjccojt1SpUhC5bauk25wnVjc48YW9P0Kg/am+J DkYY1GtRqdCYMmWwAAAAAAAAhva3dWV0ujy1CkY01He7t0h9DcLlSZDy7pZDfb1RR7Ed9bP5 08CgUI2QKddlJ1NgRmUiZWSixvriIicGp4T9Cm4xlOkhLZjhQ+Sqa8kxHIvBceEm5vMEgAAo AAAAAAAAq4RVNK1E1DkLNnJCWnJZ8V0761WrjBujky1UK9bVjf5Q2yip0r5yxLciwEjMNmpO DMtTCRWI9E8CofY8+3MdYpBOnqdnmPQIoAABxiesU5HGJ6xQKY/VBPZBSs/mm+cn7ZZX+Zaj 4TvkA/VBPZBSvJN85P8AstLjRej5/WL4zO0olbNvlP5uJHPPyzvMWT6Ctm3vlNOJHP553mEW 9Ia0piw4k/bCQ3Iu7BajvhLF7T3sMonlm/JQrjpNLMgVC2nMXPKQmqvwljtp72GUTyzfkoVi dVVCb7q1N8EF/mLPbI33snOP41/nKwzfdWpvkX+Ys/sjfeqc8q/zik7Q7rsuLqu3vcuabpr3 PaVw/wCcfObjrs5PRTdyLn7eadpov83dKT/zHzhFuNW/wf5zyLPOU21Pz11oCfrwi5Orf4P8 55FnnKa6no7rrQM/lwhGr2sBs2JjUSpJ4WeY47UvdGT92r5jOzYipqNU0Vc8WeYxtSr/ADkI nT1tXzD1P5Vs04+0XN4k85erTHuKP/d7vkKUV06T1C5k8CecvTph3FH/ALvd8hRV+e1KdUUT sfySr+kxPlKSPoOqeji205/rJOJHGqPc+kvdET5RJGg/C9rcTH9SQrKZtqbHL2cmf678xVSj d32oeKKWs2pU9Xs7h/XfmKp0bu+1DxRSRq9rObJP3RUvf85Am1r7Op7yjie9kn7oqXv+cgXa 0x6Op/yjh6nj1dHXf8P813lWIilptLkTsF0xEXCdQL85VnR7d9L9N5XCZiFpdLVRNCqYqcU6 gX5yVZ2ppop+EDMLzr1avyj9DofrneJD88dE0VNoGYz+mr8o/Q6H653iQU+XMAEbAAAAAAAA AAAAAAAAAAAOLscM985HF/O3xgVTqX4X8r7p+Y3zbT7kD/dSfOaHUvwv5X3T8xve2pnsPvx+ lJ85pjytk2Wu4nQ+GO0d5yTyMNlrPYSoefyHeck9eZTLU6a9qLX22zZtTrjk4ykFXonfKi7P dpTWrups7e9xNfMU2Xju3GO6FzlCcdr6amIGkk82FEc1Hw1R2Ok6GxZJS0lpRvSz0VYz2vfj v4L4l5qcIECDLwGwoMJkGGxuERqYREQrdrhf85dl8yem1pzCxFe9HTboS53d1eKG6bUGodUt O1HSFBk40xPzrVh77GKqw/CmCmGnl/XBpveUS5Z2l9U1KOqrmYRUVVUQt8foxSLdp0ta8Gix JZr5bkUSI1/HKqnEp1rBb1Q0R1jkrqt+KrZKdibytanatRVxhSwGzle9435TItbuClw5GQiJ 6jheKr4jWNuWTlYmmyzjsJHhObya9POC9JytGrQq3QJOqQnIqRoLVdjvqnE9ciDZLmpib0ap 8Wae5z0iKmV7xLyqmcEWKw3/APhZS/HP1tCLOszxzzYQrFf6p6bKXx+jQizrM5XPNhC1I5Eb 7SfcZr3H8WnnJII32lO4zXs/m085FvTXdj9M6VYTh6t8x2NrnuM1bK59RPhsgZ7FX+N8x99r nC6NVbHNyRfUnSKPqfP3lmvbqW4Z63nyVH+p9feaa9upbhnNzYFWMgAiiqic5pl56gSNtXFS qNMSz4sWpR0gsc1eDVXpNzVE6SAtesdlSzM/2i0RKn0ABQAAAAAAAAAAAAAAAAAAfCemWysp FmHJlIbd5UNX06vuSvKNVIcpLvgrTo/IvVy53lPeuL7xzvD8UpDeyn93XlhMfZD6SpvKdQAR QAAVz2+kVdJYGP0lPMRTYuPSpV3KZ9TZ8olfb5VU0lgY/Sk8xFFjp/wp13dX8Wz5RYxe1gqD edOsXQqmVyqNzCbLMa1ucZXd5iHV2wZNZiKrbcjOZnDeCH32i1X0q9C7ZeaFw/8AU93ZFsKz 61ptBnKpRJScmHs7Z8RmVCuOmm1RR67ckKkz9LfJpGcjWRHYRMqvBCctSb8o9kWu+u1FyOYk Pfhw0XCv8CFLdpG3aPbuvFEk6NKw5WA6JDcrYaYTO8SztqoqaT0RN9V9TTj3+Aw14i7YEksx FVtuxXsV3aYROYzA2wJLquEr7dithtd2/BEXB7ux/YVo1zTN03VqJKTcdIzU5SIzK4Iu2ubY oVG1Al5Wk0+DJQYj0RzITcIE5XCse9qVfNlx6zSXpuLAdvszlWO3V4KUdtB7om1JJOe7K9XJ 5yf9ihjYWmlywmr2rIzkT+BSBdPobI+09Luz6ydRU/iKP0PanbO4mTCc68DJlsAAAAAAAAOh cLHxKHPshpvOdLvRrU6Vwp3wqIqYXmAiDZ0pdRp8KpdXykSX317XeTn4kvomEwcYcKHD9YxG 57xyAAAAAAAAAAADDuDVUr3tV8bhtlV58r5ywqplFQr1tWJi4rZTwr5yztn66TpbifYSQXo6 mZ5j0Tz7cX7ByDf+3Z5j0CNAAAHGJ6xTkcYnrFApj9UE9kFK8k3zk/7LPcXo+V6HEAfVBfZB SvJN85P2ywidhaj9PBxfGZ2lLoK2bfHc4kej1Z3mLJlbNvlMacSPH8c7zCLekMaSzLI9Qtpr OHJwmovwljdp72GUTyzfkoV00rhQmVC2Nxu7vwWq5ffLF7T3sMonlm/JKxOqqhN47K1N8i/z Fntkb71znlX+crDN47K1N8i/zFn9kbPWmcTo5V/nFJ2hzXdcXTd2EyvLmnaadzylfvj5zctd fZVdvf5c03TRf5vKX++fnCLc6tY9L/OZ/MM85TPU1MVSgNz/AE4RcvVv8H+c8izzlNdT/vtQ PbwhGr2n7Zqz2Rqoi9Cs4+8NqXujonT1tXzHLZtX+ceqJ3lZ5jjtS47I6L/41fMPU/lWvTlP ULmz3k85erTDuKP/AHe75ClFdOuMC5sceCecvVph3FHfu93yFFX57Up1R7n0l7oifKUkjQbh e1uZXH1khG2qmU09kd3j9cxM/wASklaFNRbzttc5XqJCspm2pUTl7OXP9d+YqnRU/n8qC5T8 aWr2p1xGs7KZTq35iqdF46+z646IvmUkavazuyT90VL3/OQLtari+Z7yjietkn7oqXv+cgXa 2x6OZ7j+McPU8eto5u+l/mspwzELS6Xoi6F0xG8frBfnKs6OoibP03x6YhabSzuF0vo+sF5v fJVnammim76YKYTm+vF+UfobD9c7xIfnjomiJtBzCu4/Xi4/iP0Oh+ud4kFX5cwARoAAAAAA AAAAAAAAAAAAA4v52+M5HF2OGV6QKqVL8L+V90/Mb1tqdx9696aT5zRqmudr6UTHNM/Mbxtr 9xuL7oT5zTHlbJssOR+iNDciovaO85KBFOyXlNCqFn8l3nJWMtTpoOvdupcmmFZkGS7o0x1O vItbzqpBGxBeUClLUbBq+9Cn2R1ViPXGEToLaOajkwvN0oVI2jdI7hoV2pf1hw3NiNXlI6Q1 wqrnKliX/Vq59lO5J8zOwpdYcNN5zorEXCd/iU8j2rNa1a6xoiyjGUGkxlh8pDh7rFwvDmPU traMk61asxa14MiUqdiw+RfGRq7ydGST9PL70ss21GwpOrsaj0R0eKjU3oju+oN1LVDpcpSa ZBpslCbCgwmo1GtTHN0lTts+7m164qdY9GVZmMr0bMMYuVRUd0nu6ubT0o+FEo2n0B9Qm5hO TSMjVRWKvShw2ZNGa1GuB2oN+MWJOx15SCyJx3kXpUH/AInrR+3IVtWFTqZDbu4hNe5O8qob gcYbGsaiNTCImE8CHIjSsF/r/wAWUvlP6tCLOQ/XO8SFY7/4bWUv0/W0Is2jkYj3rzNblfgL WY+iqic5G+0pjsM17H5tPOaXWNpGhSeobLbhQUiSyxUhOj4Xg/OFQ2/aHmYM5ofWpmXcjocS C1zXJ08QtuvC2QM9inhx9W+Y++1z3Gat0eonx2P1xpVw/PfMffa5T+ZqrdPqI9SdIo+p8/eW a9upbhnrebBUf6n195pv26luGet58irGQARWHYxxID16T+dWzOP/ADFpPjkymCA9el/nUszh /wAxaWM/SfQARoAAAAAAAAAAAAAAAAAMKqInECJtpm+6hYlnMn6fBdF5dysdhM4Tvld9lrVi tR9QJmjy8BXpV43LRMN5lQs9tBW/Arul1XhxG70SXl3Ph8OkrBsJWpGiXrNVmJDX6wiLDVVT myXxi9rwQnOVjd5O23UVTmcUdw4p0md5OPgI2yDCqiGQK6bfKqmk0DH6SnmIosXjsp1zybPl Er7fXcmgcf6ynmIosb8FOucfxbPlFjF7bRtFZTZVoeObEL5JvWx1Ny1P0dhT07GZLy8KHl8R 64REyaPtBy81MbLVDSXguisRsLeVqZVO1K/Um/LrqNpyVgURsaFDiZhvSHn1TK9IG4693TTr z18pkehtWPDl47Iaqxc7yo7nQmfbOlZqLpLSHtl34hQsxOHreHSdXSjS6zNJ6BAu6/Jhj5t7 Ue1kRMq1VN4j6z6RX1Cfbc9Nb7JhOTYkWFhPhUDUNh+9KE+yn0GLOwoE9yqK2G93F2DQ9tFU 7Jkn0+qJ5jxdcdKp/S2tS16WdNxX0tz2xN+H/Ryud3h0Gj6p6lsveap1RmIaMm4Cpyqd/CYK X/Fm9jDubXT5Z/yFIA0oXO0nC92//Yn7Ys33aW3JHdDcxsWI9zcpjKbikA6T/hJwvdv/ANgn kfommd52eboMmEXLlTvGTLoAAAAAAAAZTOAQxeWuMtaF/wASh1+nvgU5r91s0xiu4d83mUvC QuW1Zio2lOQZuKrVSEx70aquxw4BNbLPTsCSlIk1NxWwIENMviPXg1DhSqnI1SX5enzUOahf lw1yhVTU2p64rY9cZV6DBg07cXlYqRsq1uedBso1DU2JTmNgU5kaicoiRI7onbIvewXE1bcH GGrt1N5OOEz4zkRoAAAAAAABhfWqV72rMeiG2cZ5185YRfWqV72q0/lBbOF4ZXzlnbP10nS3 E+wcguf6szzHonnW5jrHILnj1MzzHokaAAAOMT1inI4xPWKBTH6oJ7IKVn803zk/bLPcWo+P CQD9UF9kFK8k3zk/7LHcWpHid8xfGZ2lErZt8pjTiRRPzzvMWT6Ctm3x3N5Hjn1Z3mEW9Ie0 vys7a3kG+csPtPewyieWb8lCu+l+OrrW4/iG+csRtPewyieWb8lCsTqqoTafzrU3yL/MWe2R lTrXOJ08q/zlYZvurU3yT/MWe2Rk+xc55V/nFJ2h7XbPoqu7y5pummex5Sk6OvHzm5a7p/Km 7l/bmm6a9zulL/5j5wi3Grf4P855FnnKa6oKvXWge3hFytW/wf5zyLPOU21NReutATn7eEI1 e0+7NTt7UWp9/LPMNqXujp+7V8xnZsROyNU1ROGWeYxtSJvakon/AIxfMPU/lWvTlVWBcy+B POXq0w7ijv3e75ClFtOcdS3K1vHCJ5y9OmHcUd+73fIUVfntSnVHufSfuiJ8pSRtCEzeluL0 pJIRzqh3P5L3TE+UpI+g/s3tvC/1JCspo2pft9mp/wB78xVOjr/P7UE8EXzFq9qX7os1enq3 5iqlG7v1Q8UUk6avazmyT90VL3/OQLta+zqf8o4nrZJ+6Kl7/nIE2tcpfM/x/GOHqePX0b/B +m93vxOctJpb3CqZ7gX5yrejn4P030cYhaTS3uFUz3AvzkqztTTRFf8AiDmeH9cX5R+h0P1z vEh+eOiefTBTGOfqxflH6HQ/XO8SCny5gAjYAAAAAAAAAAAAAAAAAABxdjhnvnI+UzFhwoT4 sR262Gm85fAgFV6giu2v5ZW8d2Z446OBvG2zldHnNyiKs01E/wBTWtNJNbp2kbir0riJKyMZ qo/oQ9DbiqMN1kU+jQ3+rxp6H2vfRVKx5W9bK8J8HRChw3+uRjvOSgaTopT4lK01pElERWuY zinjN2I1Og4RobIsNWRGNe1edHJlFOYCoo1B0FsK8JyPPTlPdBnHpwdBXdRF8SEaN2SqL1T2 1QjrA3vWcsvMWiMbrc5wNTEXWDoVYVnzSTdNpyvmERMujLvJklCG1rGIxrWtaiYRGphEOQC4 GMJnJkAVgv8ATG1lLon6NCLHVxYyUacWXRViciuP4SuGoGfTZy6831tCLOI1HI9q8ytwvwFr M9fnrSlpHW2tJUHw+uXXKLySL6/eyuCx1c6q9KHE6s3+X6lTe3uf1x96vs1W5UL+ZdDKhEgw 0ipFdKtZ2rnZypte0NLwJTQ+ty0tCbDhQ4KNa1OZOI1MeHsgKiaU/wCN8x99rjhozVuOfUT4 7H+OxVx4py3zH32ueGjVW4Y9RHqzpFH1Pn7yzXt1LcM5udCo/wBT5+8s17dS3DObmwKsZABF YdnHBSA9elVNVbL/AHi0n1URecgLXpf51LM4f8xaWJ9J9ABFAAAAAAAAAAAAAAAADWdSLgnr ct6JUJCmzFQjNVESFBblymzACu9W1buqpUmakYti1ndjw1Z9pNO0guO5bBhVdINj1Zzp+Pyq KkHmLcgus4gHs0Xcn/QtZ+JHZou3C/yFrPxJPwC4gF2tF3IxV9AtZVcfmSUNM7nqFy0dZuo0 mZp0RET1OM3Cm3Ahium3wqdiWAq/pSeYimxvwU67j82zH8RK230mdJoHulCKLG/BTrnHHqbP lFZvazml9IkK1pDTKdUpdseBElGI5qpnnafK0NFbCtit9dKXTlWaa7e7dd5EUjq+b7nrB2bK TUaaq9VxoMOG1UXG7lvOV3sDXe/6Dc0rVazU5udp0SJmIyIq7qpkLsShtCMdeG0FTLYq84sr TOTau5vbrXceY2vXzRKxKJpjM1ano6RnZCCj4D+UwrnH31Osam61UaSvizakkGsQWNwyGqI5 ruc0t2kutt3RIFIvGrzTKVDXD3uiZRWhEl7ODW6g6Kvpt0Q+qZeCqQmqvPuonOeZ6XLSFatu 9Wtyr8rD5bj4jxtab+pOkun0CyLQmGpVHMaxz4S8XLzKpWKcrGoklGg1Saqk3CfMPzCcqqiq oH6RUe3aTbNnzFMo0FIUrDlXo3vrhq8SiOk6/wDEnC92/wD2LQbL95VW79LKo+sPdEmJJjoK vcuVd2ilYNKfwlIS/wDe/wD2BX6JpnKgwmd52eboMkbAAAAAAAAeJdVrUO5KdGk6rIQYzIqY c7cTe95SCLp0AqtAnVq2m1YiSLoacpyMeKrkVU44RCxsSOxjsOiQm+NyIcFmIXPy0DPt0CWR UW9NW71k9Pq5bWoFAm3zExC5KBNQ4W7DVc85Kux8j26XucrVajoqKiL4iULho1BuGVSVrcrJ zsFOZsRyHYoFNo9GlEkaTAlpaXTmhw3JgupnL1UABGgAAAAAAAGHetXxFe9qrPogtnxr5ywq 8yle9qv2QW108V85Z2z9dJztxPsHIL/2zPMeiedbi/YSQTH9WZx949EjQAABxiesU5HGJ6xQ KY/VBPZBSvJN85P2yznsLUf3yAfqgnsgpXkm+cn/AGWVxovR8/rF8ZnaUegrZt74TTiRROHq zvMWTK2bfKfzcSKc/qzvMIt6QtpLMtmKjbbUaqLChNb4+JY/ae9hlE8s35KFddLGMhz9r7rE aroDVVe/xLFbT3sMonlm/JQrE6qqE33Vqb5F/mLPbI33rnPKv85WGbX+dWm+Sf5iz2yN965z j+Nf5xSdod113vRVd2FT7eadppnsd0r98fObjruirdN3ccJy5p2mnc7pX74+cItxq3+D/OeR Z5ymup/33oHt4RcrVv8AB/nPIs85TXU/77UD28IRb2n/AGbXIuo9UROhWeYxtSrjUhP3avmM 7Na51GqaYxhWeYxtS90hP3avH3h6fyrZp0qcjcy4xwTzl6dMO4o/93u+QpRbTrHIXNnjwTzl 6dMO4o793u+Qoq/PalOqPc+kvdET5Skj6DqqXvbif9khHGqKJ2P5L3TE+USPoNn0b25w/qSc Sspn2peExZq/978xVSjd32oeKKWs2peMezk/735iqdG7vtQ8UQkavazmyT90VL3/ADkC7Wq4 vqe8o4nrZJTExUuOefzkC7WuPR1PeUcPU8eto5n0v03nvxC0mlvcKpnuBfnKtaOoibP02mem IWl0t7hVM9wL85Ks7U00Tym0HMYXH14vyj9DofrneJD88tFEztAzGUz9eL8o/Qxq7u8uU5kx xFX5fQHy5Xws/iM8szC5fDRejtiNPoD5JHh/0okJP/dB1RBx9uhZ9ugH1B8WzMDHGPCT/wB0 MOm5ZiKr5mCiJ076AfcHlz1epEoxHR5+CxF6d9DoxbztuGiq+qwkT2yBNbEDUnah2ixFR1Yh nzTUmzUVU69Q8g2NxBocxq3Ycsjki11iY5+B0F1000wv8oG8O8xQbElgjFdedMm8Fr6fFKcV 160xanGvr8UoNiUARamv2l6Jjr+vxLh2f9L+b0Qf/C4GxKWUIv2hr8lbQs6NLsiJEqVQRZaD BYvb5cioi4NXuzaOoEBUl7Tln1ubfwY3cVvE8vTHTS4rtulL81K39/e3pWRicUhpnLVQqW/4 23ZksuLbNktqE/DiMqdSTfmEfz8+UIh2hZh16bQFEt6mP5eFK8nFio3iiK13EsnqVdUpZtmz 1cmVZuy8LtGKuMletkG3py5Lyq2pFQhuVkWNEZB305kVcpgF/wAWnp8JsCVhQGNRrWQ2oiIn gOwYamExnJkjQAAAAAAAAYxxyZMZTOAKw6gIi7Wcuuf6tCLOw8ZXHPhCsV/p/wAWUvwx9bQi zsNeKpjoQtZjkRvtJqvYZr/k085JBG+0p3Ga9xz6mnnIt6a9sgInYq/xvmPvtcKvYZqyr+aO vsfpnSrHN6t8x2NrnjozVuOfUS+pOkUfU+vvNN+3Utwz1vDJUf6nz95Zr26luGet58irGQAR WHc3TzkB6891SzOb74tJ8VMpz4IC177qtl/vFpYz9J+ABGgAAAAAAAAAAAAAAAAAAAAAAAAA AV02+cdiWAq/pSeYimxuGypXc9ENnyiVdvruSwEz/Wk8xFNjrjZSrvk2fKLGL22faL/BWoa4 TmhfJOeiumFG1H0HgSc3BYybhwl5CKiYXPhU47RWPSp0NfBC+SSDsU9ymV72584PVZ7enLw0 R1ZlqIs3EdAixkYkNVVWqxVxzFntqDUSpWvpnBnKUqw4tQhY3lTi3gQTtbOV20JQkV39KH8o kLbVXGlNE8mnmKI52bNHZ7UyoJelzzqxpODHRVY9yq5XZynvHa2xJaBJX9T5OVgshQYTmta1 iYTghMmxJx0nfn880iDbRT+cyUT9og9PEk7GHc2unyz/AJCkAaT/AIScL3b/APYsBsY9za6f LP8AkKV/0nx6ZOF7t/8AsE8j9E051MmE514mTLoAAAAAAAAqBtOLqDTdR4T5aorLUeciYhxE cqNhp+sp2aZo5q9UZCDPSl4yj4MZiPYqRl5lLO3XbFFuanrI1mShzMHoRycx2qBSpajU6HIS bUZAhoiManQidBdZ/PKsHYP1m/vdLfGqbDp1pJqpRLrg1Gr3NLzMmxO2hpEVVUsaBp+Y4w0c jURy8yIhyAI0AAAAAAAAw71q+Ir3tVJ/KC2fGvnLBxt9ITlYmXY4IUZ2ndXZ2NqG2kx6WsJ1 HibiOz6/iWM/XS69uJ9g5Bf+2Z5j0SNtni9Ji+NP5erzMksmsLEFGKuc4TnJJIsAAFDjE9Yp yOMT1igUx+qC+yCleSb5yf8AZYT+Zaj548HEAfVBfZBSvJN85P2yyqJovR+P5RfGZ2lLoK2b e/HTeR3eblneYnq57lo9uyD5yrz0OVhN6VUprtaauyN8UllDostykvLPVyzDeO8IfVedpei9 XWsvBfUG+csPtPewyieWb8lCumlERsep20yC5qrDgojkzzcSxe0721mUTdVq4jNz2yfkoVmd VVCb46rU3wQX+Ys/sjZ61Tne5V/nKu1BzeynTVa5OEJ+Vz4C0WyM1zaPNvc5u6sV+OPhFJ2h zXfPopu7HNy5p2mnc8pXe68fOblrsi+ie7nbzUTl+fPOaRphGa+x6XLMwr0q+efwhFvdW/wf 5zyLPOU11P8AvtQPbwi5erSfzBTjN5u9yDOG8nfKYanxmrWaDDymUdCzxEW9rB7NifzjVPjl Ms8xjalX+cdE/wDGr5jOzO1Hag1N7VbupuZXeTvGNqTjqQio5u71tXp8A9PFbNOU+t7mxz4T zl6dMO4o/wDd7vkKUS0+i7qXFDynbIiJ8Je7TNqs0Wc16sRVp7sdsn5Cir89qUaodz6S90xP lKSPoQn8uLbXP9SQjHVSIrLIkoauTjMxOCL+spKGgjHPvi3dzdXEknSVlM21Ljl7O7/VvzFU 6L3fah4opavalwsxaGFbhJ3iu9zcCpkjHbB13n3q9MZiJnJI1e1pNkn7oqXv+cgXa0TN9T/l HE87JSbsaovc9qIqLjtk75AW1tGhejydY16OcsR3Bq5HqePY0bXGz/OIvfic5abS3HYKpmV/ qC/OU40zvOjUjSSat+qRFgTbkerGq1e2zzEyWztAW9Q9MKZQ5STdUJpkqsJ8NEVMLxCyq82c lx9mKddbCQ1n0m3bu+mU9cWWWU2g55z2xJimw1XHMioRzsw2LdFQ1Rm7pmJCJJSESIsVrnJw XK5wXdYnTlFTHeJaSKzQrI19nWKj6xToXjeqHxmNKdcZrCxrjkmqn5EZULQNTCcVDmovOg1f yq1E0U1djYWLdENF6d2YU5poJqHFitWYuqMjendmVLRK1q9BhWtVeKDT8xWiDs73I6LmYuyo bvTuzbjvN2dZ12Wxbpqqp7rcWK3Wr0GMM3lXpQafmK+w9m6UiQ1bN3FVn9766U9Cn7NVsMgu bNVisRFXvTCk4osN3ap0mUVqdqijVyIVTZuslrd1Z+rr/jqG7OFjIuerKsv+MpNauwvRjxnD lW5wrmJ/7INMiHGbOliJ66JUH+2iZPvKbPdgSqbrYEw7p7ZckrTVRkZZqujzUJiImeL0NXn9 SrLkXPSar0Bit5+PMOUyPFltFbGl3tekhvKnNvNRTvO0nspqZWlQPi0OpG1x0zl2Kr7mgLjw HjTm0dplCVUbWocTH6qjk4bH2J7I/sqX+LQymk1kc/WmX+LQ0Gd2n7DhxMQIzYyL07qnWdtS WhhVSFlUThwXiOThL9Csa1qQirJ0eSR68znQW5T/AEPUrdXp1DpcWfqUxClZaCxVy9UTmTmQ rdVtrOSRFh0m3nzcZ3BuM85qyW/q9rXOtWtumqRbz376MXmwMN/wvev1vX/UWXt2isjQrblY uIkRqKiPTPSvSWwsu3pK2rdlKPIwWQocCG1rt1Mbyp0nlaUafUWwLdhU2lwWcpuokWMicYim 4irIAAigAAAAAAAABhzkaiqvQmQKqar1aRpW1RAmqhESFBSWhJvKuEyT5Kaj2dFiqxK3JtVc cVioQ7GodA1E2kJ+HUZNs7JS0mnOvBHISPN6IaeR0XkqLDhO76OUrM1tzbwtZ3rbgpq/47fp NB2hrhoc5o9XYMtWJKNEdDTDWRUVV4nXmNn+03PVYLeSXxqR1rto9RrY02qdUgVJUe1EVsPK 9txBdb9sgcdKedPt52Nrlc6NVbyR9dlWmxKdpTLse1U5RyREz3lQ6u1/MwoekFShvVEdEhdq PSdIt+p9feab9upbiGqq3iVM+p9S8X0OzcxuryfKKmS2bUVE4rkVYyACKw9FVMJ3yA9eVRNV LMz/AGi0nxVVE4JkgPXnHZUszP8AaLSxn6T6ACNAAAAAAAAAAAAAAAAAAAAAAAAAAArpt857 E0DH6SnmIpsbC7Kldz+bZ8olPb8isbpPLsV2HLNJ5iLLPasvsoVl0RMI+ExU8PbFjF7bLtE5 dss0NGtc5ESFxT2p89mLWezrR0+gUyqRXtmWNw7Cpg9mi6m2BWNKJK2a9Ktiw2yzWYc1e1dj GSIYlhaXrMxHtr+6xy5a1ITuBTXX1zvSj3xrbRajQke+C2JDaqLxXO8TPtpsiLpRRF5J/CGm 9w5uHSaHprR9J7Rr7axNzTao6Hxhw3Q3Jur0KSvfWrGnV30GJR6rAa+E5u61VYvaAaLsuaz2 fZ9grS6vEe2MsRHcFQjrac1BoF23tL1GlPc6DDeiuVVPq+wNL3RYsRtwbrXuy1qQndqneOUC w9MGTUGI+vI+G12XsWE7tk7wTU27Fiufpdcsfcc1kWI9zc9KbikA6T/hJwvd3/2LE2tqxp1a 9rRaHR4LYEJIDmq5rF7ZcYyVv0Xm4dQ2h5abgJ6m+cRU+ED9Gk51MmExlcc/SZMugAAAAAAA Dybrr0nb1JiVGfR3U8P1yp0HxZdlv9aIVUfVZSHKxGI5HOiInP0Hzv8AWkttKoOrkJseQSH6 qx3MveKe0Kk1SRrMatXHBizdkPmtyDAVV3WZXgvvIEW+o972vU46wZasSixVXCM5VMr4jY2q jmo5q5ReZSGZ/Siy7ityFVbIWHT5lzd6BNQnKqoviO9oJd1SqUCdt2uvc6fp8ZYLYjueI1v9 ICWQAFAAAAAAA4uVURVRM4TIGVzwwUO22LRdI6kyU/CYuanF3lXHPxLI3hq5cVEr0WnS1jzM 5DYmUjNfwUiDV64riv6pUmdjWFMQ+oMrhXZzxyWM/VWK0Ut2HbundNkmIicpBZFVE76ohuxX 6m603RJyEvKt07m1bBhNZlH95MHY7OV1KnDTubyv7QYSxPIIG7Od04z2O5z4w9C3dZLlqdal pCPYU1LQ4zsLFV/Boxf1E0nGJ6xTEu9YkFj3N3VcmVTvHJyZaqEVTD6oLj0QUrj+KRf9TlaW 0BKWhpFTKHQ4e/U4eUiLETtUySttXaQzeoVIZPUt6rPy7Ua1iJxchVZuz5qoxqsSiTKtRcIh qMXdbLTqZe+rdXfMztdgystEfvOZFj7rMeDJPViaL6dUa35iUqNUk5mamoW5FcsVqo3woVyl 9G9bYEukvAkpyHCTmanA5Jo9riiY6nnvhCRvVb2fahJXC+btW7KdDlUdmGj5pEVqH0rukWoN Yk2S03etMiMZ61HTucGg9h7XDGOpp74R2HtcP0ae+FQYkaV2b6WtCWPM3bLdfETtHpNJup3+ J1Ld0dv6hQnQqfetMhMVyrhJ3Boi6O64fo098ITR7XD9GnvhA3VugNfqtadHuC8Kc6WjOzG3 JtFVx2Lo2c2yszA9B12SLIDMOVsWaRO26VNC7D2uH6NPfCE0e1wx9zT3wgSHPaUaiTtKfTZi 96Y+A5MK1Z3KC29m+nx5GK+6bqk3zzUXkFhzSKiL0Eedh7XH9HnvhC6Pa4fo098IG7UjRC9K JPR41KvSmQ2vXg7qzCqnhFY0QvOt1GHM1W86bERMNe7qzK7vShpKaO64J/Vp/wCEz2HtcP0a ex4wYkG49mylwqVB9DV0ybJ533RykyiNU5SWlWo0pTeoIV8U1IW5ubvVvDBHaaPa4J/Vp74R 2HtcP0ae+EDfrT2coUxHey8rpkIksi5hthTSLhT4RNBLgpdwumrdvCnQ5ZiqkFXTaI5G9CGk dh7XDplp74R2HdcP0ae+EDe6/o7qBWmwEnb1pkTkXZZvTud3xHsQdnC2Vtx8aNdMBLgfhViJ NJu56eJFi6Pa4fo098ITR3XD9GnvhAkW39CavTnORt+QJdq/mZ7GUNhoGz5aDq3DqVx3Uyde xd5d6aR28vvkM9h3XD9Gn/hCaO64fo098IFuK7p9pXVlhLFWlw+SajU3HMTOO+erQ7c00pMs kGVg0J+P6T0YqlM+w9rj+jT3wjsP64InCWnvhIur3ydVtyTh8nKz9LgM/JhxGoh91uKhsTL6 zII1P2zfpKEJo9rh0y098JiLozrZHZyUWVnlYvPxUYur6ei22f7dp/x7T4vvW1WOVHV6n5T9 uhRqHs76pKxqq+caq86ZXgd6Bsy6gxsLHnppqu5+K8BhtXDqOp1lyTVfErco/HDDYyKaxUNf dPpJrlfPq/H5LkUrvTdkm5Jl311W40LK8c5Nkk9jPhmZulXeDdUcG1Is/tUacSjVRrpp6+BD VK5tf2wxHJTJaO53RvsOVO2Q7fgOTqmqMj458tU3ChbMmn0m9HTchDmm97iODlDVY2v6+6G7 rXToPNwc+HwMW3tN6n1KTSHT7dSdiZ9fDl1c34TddqfSuybW0gmZ636LClJlsZrUiNXK445K 96M6g3zbVOiylryD5liJ2ytYi4KnKbFvHaDuVGth0uXlGxE4epubg4rpJr3V3rOTNwQpdIn9 Bswrce8ao7WTWxjFe6mTDWomc7icx5T9o/U2BCdFiOjbiLhebgESfKbOV8zbEdWLtnVevOjJ pcHcpGylLRKm99brk/FllThuxsqqkb07XDWeflUm5OSm40uvM5EPs7WbXDj9jJxMceYLw9PV bQi1rYvahU2nx5x8vOtVYvKOyvBSaaLs8aey0pBeso6I58NFXeai9BXSmX7fF0aqUBt1ysaX RiYZyic6ZL105VWTl/yeSb5iUklR5LaKWDBhbraTBVE6VhJk9Bmk9jIxE6xyne+0ob4CNY1a k2BZ9PRUgUCnq78p0BuTZJaXhQIKQYMNkKG3maxMIfUBROAAAAwiqqqmDIAGEXtc9PeGeGek DIMKoVeHDiBkGFXxfCcViImVcrUaic+QOaqiJlTTtWrylLNs+aqUeJD5dW7kGFntn54cE6Tx r91hta2GvgQ5tlQqKLhkozncveNBs2z7g1Ouxt5X4yJLUuA7ekqdE5t1Ss2/42PZntSJIUWY uWpsiJUqhFc7tuiG5coTI1ERMHzlYcGDBZBgNRrIbUa1qdCIcokRsNque5rWomVVVxgizhly t5l6Ssm05XXXfeFI06oMRYkWLE3ZvC8G4XPE2fWXXKn0dkW37T+y1cmMwWNhLxhuXhk+uzxp XNUflLzvByzNw1DERyRE4wVKl54S1aNMSj2xT6Y1rGrLy7IbsJzqiYK57elyQpK15Gjw4rVi TGWvai8ULFXfcNNtmhzFVqcZkKDCark3l9cqdBQC5qhVNcda2QZVsTqF8fDG86MRFEKszsO0 Z9J0pe6NDVr40dHplOdFQn88Sx6JAt62ZGkwIaM5CC1j1TpVEPbIsAAFYdzdPOQHr0v86tmf vFpPMzFbAl4kZ/rYbVc7xIVJ1q1ZtKe1Ht2ZlZ6G5lOnkfMO/JRCxn6W6B49o3FT7mpMOp0y KkSXiIitcnSewRoAAAAAAAAAAAAAF4Icd/8AVd8BBe05rRMabw5WXkJV0WPGcrVVF5iCE2tL nx9xRl8XEuJavZvccYUI7jjClE/TaXP+gR/gU5t2trkauX0+PjxKMT9L073DO6vwBHcM7q/A UVXa1uZXqqU+OjehMKcV2tbmzhZGOnvDD9L2NXKZwqGSq2g20lPXVdjaLVZJ6cqqNY5XcyqW oReK56CLLrJh6qjVVA1cpx4Hn3BVpKi0mZqdRmGS8tBYque5eAVUjb+uF0WZlLYY7KqrYiIn fU5XHAgULZVo8iqbseoQk30Xp7Yi2sz1Q1h1+hLDR0eXgzKNynFFho7nJp2lpOTiVqzLEpL0 e6H2j4beg0wk6TZZtm6OU2t1miU92JJioqwGqrnbpX2FtH0jr5iJZtJ62o/CuSUTexkkHa6q 8tTdK6ParlxMw2wnObnjhEwVwp1OkusUyx0qkSLPbqSvgXPHAkS1eeSnrBj2G27HUKmslVgc oqLAanHGcFaKxtH0dlcisp9nUl1OY/GXSib2Mkg64xZW1tmykUuE/k5qNDhOfDzx4pxK32xJ UxtrVuNOy6OixIadR5/KzxwJFtXi09n7EuyyUuSDb1OZChwd+Miy7UwqJlSu977Q9BlLjmJW 3rQpUWShO3d6JKJlcLhTfpj+bzZghzKReTiT8NiqnMvbIVisiQko9LuCoz0NHcjDWJBz0qqi QtW8s67rNvDSWpXHLW5TYMeXhLDjb0u1ER6p0FfNj+kMrOsFQnkhpuy8VXtRE4J2xt0zCbY2 yzOxnv5GZq8RkeFD6VaqHp/U/wChRILKnXosJd2ZZhrlTpyDtbpuN52DJhq5bkyZbAAAAAAA Aanq1So9b0/qtNlkXlYsPhjwcTSNEJ6iXNYk1bFUhwEiy71l3y8VE31wmN5EXzkxqiKiovMp FF7aRdV1x1ftOpdY6mqdtEaiqjveA0yP130OuNYrozpm0Jp6+vXedBT5ju7PcRLmvGp3dIfe 90V7WeHPMdiLpRelysSTvG7VnqYnCJLuh4308Z39L7FrunN3LSqW90e2ozVerWpwY7oQImVu ccecyE5gFAAAAAAAAdaLIysSJvvlYT1XnVW8Tj1ukkXhKQce1O2AOmlOk+OZOBj2plKdJcPr OD/CdsAdPrdJY+44HP8AknNshJsejmSsJFTpRvMdkAAAAVM9KoAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAOO4uc77gjVRfXKpyAGEbhc7yqZAAxup3kMpw5gAIT2yu4nO4/PN+cizYFkZO bkqqs1Jwo+GcN9uekl/a1pdQqujs9K0+XfHjcqjla3nwmcqUu0l1PunTZk1L0yTjI6J2rsN8 JZ0xe36F3RS6bCtepRWUqX32y0TCJDT8lT837YhxajcU3TXo93LTT2sR3MnbKShD2qLvbEdB qUCLEgRGKx8NUxlF5zRqxqNbaTknO0O3XyMxBj8rFdvZ38liXlJVs3xf2nMpGpDLOh1CWV3q b+plfwQ9Xs8agOYqt06g5XvyS/QedD2s48OjQ5SDQUSLDbuo9zUU8Vm0/eUbL4Mg1zc9EBOH +gHSvq+9QrnrchVEsp8nGkkwzkZVyZ49Ju8vtD6ywYMOElnKrYbEYn1s7jg1f0zV8YylM/8A gT6Am01fK/8ALP8A4E+gDa02jNZE4rZrse5XBNozWXcytmr/AJZxqi7TV8ometnDyCfQPTNX z/Zn/wACfQMXW1+mL1m3c+g1f8s4emM1l5vQav8AlnGqJtNXz/ZvP+wT6Am01fOM9bf/AIE+ gYa2v0xmsjlREs1c9P1s4emL1lV2PQav+Wcaom01e6J97P8A4E+gemavjGUpuf8AAT6Aa2v0 xms2V/kav+WcdWe191omXoqWpEhoif0ZdyGvN2mr5wv2M/8AgT6Au01fCf8ALeHkE+gGvXXX PWjn9DMf4hwXXTWnPsZj48g48j0zV8oi5pnv8gn0D0zV886Uzh5BPoCPXTXPWhc/yZj/ABDj Ka560rzWzHwn7Bx46bTV8KnCm5/wE+gJtN3zx+xn/wACfQB6MfW7Wp0RVS25hMp0QHGsV6/t Zay9VjSFWlmLzpBhvQ9b0zV8Yz1t4eQT6Am01fKp97eHf5BPoA42DeFetqMs1N2ZM1WadzxJ qTc9UXvopKEttG3bCgNYtmzjEamEa2UdhCMV2mr4z97P/gT6Am01fGV+xifEJ9AJwlCPtCah TSth0q0Y3KL+dlXIhwj0DXLUyIyPUI8OjSDl7ZIERYbsL4CMV2mr647tO3VT9gn0B+01qTEh 4loEZi+CGFWk010atSxGtn4zknp5U3nzE5hVR3ThVPT1H1as+yZF0xUKjDjRN1cMgvRy5KcT momut7s6ll2zcWE/giNZg9ix9mu+bsnkmrrnI8i1VRXJGyuSYb/jwtTtS7x1quZtIosGM2Rc 9GQ2wkXdxngqlptmfRqS05oTZqfhsi1mZaixXKmUhr4DZ9JtJ7X0/lGtpklDWa3cPjYzkkFG oi5QasjIBq1yahWfbs6slWa5LScwn9B+ckabSDQ+zFpx/emS+FQusWnCf9UyXwqE2N1nYPLy 0aCvNEhuZ8KYPzW1zs51J1sj0GFC+6IibqInOqqX0XV/Thf+qZPn76ldNXKhYta10olzQK9L RZdkwxY7kRcI1CxKszo/S4dG05okgkJIb2SrUfhMZU240GX1Z02YsKXg3NJJzMY1FX3je5eN DmIDI0FyPhvajmuTpRSLHMABQAAAAAAAAw5FXGF6TJxeiqiY74FKNvxzVrMg1F4pE4kYaSVe ZtimxYkxaaVeFFdvNiOlliY8GSSdvuWjMr8nHc1UhvicFxznl6K7Q1Csaz1olRt3rg7eRUfh OjxmmK+0vqNBbFTldNWbmeOJBfoPvP37R56GkJ2nUSGmedlPXPmNt9N5aecegpMeJv0GWbXt qZXFloi+Jv0Aa9K33TIcNkPsbq5G9K09c+Y5VK6rbqEN3KWBHgv3FRNyQVOPwGwt2wrZ5ks1 yd/m+genAtfPsOX4E+gCt1Kn7htW93VymUOaa9kTfhsfBVERM8CU12ltVHPc7rE7j+ycbXPb UVhz0dY8zYu9EXgq8EOv6ZbTvj/IJfhQI1hdpXVVG5WhuREXivJOPAvPVPU7VSFAoPUExBhr 2jkgsdh3jJFibSmnL4bobrCVWqmF4oc7f2m9P6HFdFpliOgvdzuyihUibO+k0lpPaUxdtzOh 9c+RWI7ecmEbjPwmo6QS0XUfXGqahxncnSKZFV8J0ZcNx4CMda9ouo39EhyEjBi0+kIqcrAz 69OnidKta2ysrptCtC0abEpiOh7s1FRc8oB2do++vRrqhFfA3VlZbMtw5uC4yetoPbsS579p cBWItLoj9+PEX1qovhK/w6hFSK56vXef69ypzkuU/WaRt3TX0NWxS3ydRjw9ybnM55QJ697a wviWui+4VGo8RVkpNvIORPWoqLjJ1NI7fddN30O32Q1fJU+LvTsVqZRWrx4qQglRjOmoszFi OfGiqqvcqc6qS9aus9Ns/Tt9Gtukvl63MsVkzP5zvd4Hrc9r++pGfqknZdAjufIybEgvai8E cnA0vT6iLXarSLYgI/k0iotRjN9Y2GvfUiWLVY8xUY1QmojoszGcrnvXpVek3S1r/qdMoMai 2xKxG1GoN5KZjI3KxG9CJ3gN52mbmgXFc1HsS3Yj40pTGtk3o3ijlRcZLi6BWh6DdNqfSnw2 Njbu+9UTiuSAtlLQed6uS8bygOSKq70KDFTi7PHJbuFDbDYjW8zUwniJWpHIAEaAAAAAAAAA ABhE4rxzkyAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAB85iBBmILoMeG2JDcmFa5MoprzrFs5d57rapquXivqKcTZQqZTCgU125bMt2kyUtVKXIw ZKMjETcgs3Wr4zy9nO0NLJuxINUuaeh9coqqj4T1TDU98slr/pZA1MtZ1OZHbLTbVRWRXJlE ROgrIuyTdTcsZXVa1F4buUQrFjSdpm2rMody05LPnEjwJlMxkRUw1c83AtZs32FaKaXyMaYo spNxYi9tEjQkVxClH2Rrii1WXWerjXQGORzt9FXmUuJZ9vyluW9LUiUbiHBaieNcc4qyOmlh WYiYS2qb8Qg9AVmf3apvxCGyAjWNaSwbMT/pqm/EoZWw7Mx7Gqb8QhsgBjWm2HZiplLapvxC GfQFZn92qb8ShsgBjWvQDZn92qb8ShlLCsxOa2qZ8QhsgBjWksGzE/6apvxKGfQDZnN6GqZ8 QhsgBjWlsOzN1c21TceQQylh2YqcLapvxCGyAGNbSwrMTmtqmfEIcUsSy95WpbVN+IQ2YAxr foCszGPQ1TPiEHoCszGPQ1TceRQ2QAxrSWDZiJj0NU34lB6A7M3sehqm58ghsoBjW/QFZn92 qZ8QgSxbPZ6y2qb8ShsgBjy6dQKPIORZOlSsvjmVjEQ9PHPlc5MgAAABqV0afWzcM/1ZVKfB jxlX1zmIptoAjxNHrHXP2Ilvi0MLpBY2MrSJf4pCRANTIjzsP2PjPWmX+LQdh+xuOaPLcP2S EhgaYj6FpFZDIrIjaRLbzVRyLyac6G+y0FkvAZBhphjGo1qd5EPoAuAAAAAAAAAAAAADT9St PLfvuQZLVmAi8nxa9GoqoR8zZosDdRu7EXCc+4hOIGpiDk2aLATtt2J/Ag9LVp/nO5E/gQnE F0yIPbs02BxVGxP4EMJs02BhV3In8CE4gaZEHN2aLAVFwyJ/AgTZosDGdyJw/UQnEDTIg5Nm mwFzhkT+BB6WiwE4q2Jx/UQnEDTIg70tFgYzuxMe0QelosBEzuxET2iE4gaZEHJs02CvMkX+ BDKbNNgbvBsTh+ohOAGmRB3pabBxnEXHtECbNFgYyjYnD9RCcQNMiDvS02CiplIn8CG12ho7 Y9tREfLUmXjxU9a6JDTKEjAmmRxgw2QoTYbGoxrUwjU5kQ5ABQAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADR9VL6hWPLSE aKzlEm43JplOY3joIK2t1xSLfROGZzpLEvSZ6DPtqVIlp9vNMMR6J3jvHgaf8LNpKZ/q6Hvk WAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeVddbl6BQJurTOeSlm7zj1TR9b+5dXfIhK9PT67pG 76K6pyOeTa/dXKY4mykP7K/c7i8MeroTAnMKS7AABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAgra5T7E2+nP9eE6rzEE7W6/Ye38fphZ2z9dJX0/wCFm0lM f1dD3zX7AVUsyk4TP1u3J7z3tYiq9Ua1OlVIscgcWvY5qORyKi8ynLKd8KAwjmrzKMp3wMgx vN76DeTvgZOrUp6Wp0rEm5yMyDAhtVXOcuDtEQbRltXPd8lI0Ojx3QZJ0wx0yrcoqszxTKAe k3XTT5Z/qNKjG397d3uSXdz4yRJGflZ2QZOysZkWA9m+jmrngRlO6LWOyzIlIWVfDY2Dxiq7 ts458mjbJ9Wnkot1UN8WJMSshNxYUu9VVd1qcETITUmVvWSxqRVY1Mm6hE6pg+vayHvYOFM1 mseo1CFJy07MOjRODUWEqIQ5pJQraqepd3TNyOajWsRd6K7CJxJktmytPY8y2eovIzL4S8HQ 3ouAN8nZ+Uk5J05MxmwoLWb6ucuOBHi646frU1p3XKLyqP3N7ku1z4zS9ryfm4cvbVAgzDpa Tqc1yEw9Fx2vjNglNGbJXTxskstEiIkor+qEf2yuRMouQJZkJyWnpVkzKRmRoT0yjmrlD7ld dj2rVBsGqW5FmXTUlJRHrBiqu9/S5sliWLlqKoVkGFcic6jeTGcgZBjebjOUwMp3wMgxvN76 BXtTnciAZNH1v7l9d8ibuqrngir4TSNb+5fXfIhK1fZXz2O4vH8eTAnMQ/srpjTuL5cmBOYt PnoABFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOggbbBe6Db 1EjtYjnQ5pVRvfJ5IJ2uXIlJt9XOb92dPMpZ2z9dI1rW0VdlvW1J06TtXLWwUa2K1HcxDFf1 41Eq1Rhq6pTslD38rDRVRF8BfizqNSZ6y6W2ZpsnFR8umVWEiqavcWgmn1dm0mpinPhxWu3k 5Nd1MjUyo7s/X6oy1q06DGor5qK2EiOiq1cu8J63php3+7rv4XE00S1qNSaRLU2Xp0o6FLsR jVfCRVO4tHpnRTJL4lv0DYuVBSbQs4iKvoddno7VxhNoadxxt138Lidlo9Mxwpkl8S36B1np m797JLPkW/QNhl/1BKbQs4q8bdd/C49G2tdZqrVyXp76C6GkV6N3t13DKkypR6Zhc0ySz5Fv 0HKDSqdDiI9tOk2OTmVsFEUbDK7rHbyJ4sh3Nz4Mkd66aiSOn9nxpyPFZ1XGzCgNzxRy8y+I jTU9onUOPASHYVrJ1RXKqvI7zF4wfCbXoxp9CsmyXyDnK+oTrOVm3KnFYipx/wBSLNnuBa8K JGvq7rnpkWuT6726+MnqWF4YReYsBJXDSarT5iYotRlp9YbFX1F6O4onMEQTTNB6vN39WarU K1MyVPmUTdhM4pE8Cms3xSKzonfFMqtJrEzNUiZe2HFl38Go5y4JS0/1lp9UuurW5cUaHSZu QwreqFRiRMr0Ef7UNyU+667RLVt6YhVKadMQozlgLvbqNdxzgo3Lanm6FF06k3VHHXSYYjqY mMryqpngRJJye0G3TZjYUCK2W5JFR/K9tyXTw8RuG09LzNKr9iV+bgRI9MkY8N0w1Ey1iI1M 5Jg7JFjx7TdUmV6nslnSyqkJYqZTh63AGl7JE3bcSyVlqejUqjIjlm8tw7OeP+pNrnI1q46E yVs2T4UWpXvcF0SkrEl6TNNWHBRUw1VR3FULKpxTOCCFL41qmrfuWNSodDWYbDTKP3V4niN2 hZ3OFtxyJ7VxPUamSEaLykWQlYjl53OhIqnDrPS+P2MkvB6i36C8JlQT6YWcwqeh138LjCbQ 07j2OOz0dq4nbrPTN372SWfIt+gLR6ZhMUyS+Jb9A2GVBPphZzdz6HHb3tXGu6la+1aaseoQ pKlxJGZc3tI7UVFYWZWj0vHCmSWfIt+g8a9LKo1y2xOUSYkJWHDmW7quZDRFT3xsMqidm7Sd +0WOnVUWPVGovM9VUlOf2iajeNiVSnTtuLKrEho3f3XEu2rs66eUBzYkORixoucqr1ymT2dW qDRaXpTWYcnTJSEkODwckJEX4QmV5Oyqu9pw9/5UZFJhTmIe2VlRdO4265FTl+gmFOYVr56A ARQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA1m+7Opd2wJSDU mNc2Wib7EVM8TZgB1aXJQafT4ElBREhwWbrfEdoAAAAAAAAAAaNqdprQ77YxtYY16Mxu5TPM byAINXZutJXLh+PAiG+6YaeUmxZSLL01282I7eVTdQBGmo+jVq3hPLU4kuyVqKrl0yxO2U56 caO2tZ831xgyzJmopwSZcnbIhJAA8u5aDS7hpcSm1aThzUtETdcx6cMESps52elQWJlOoUdn qXC7pNwwgHm21QqVbtKh0yjycOVlYfrWMTgekAAAAAAAAAAPOuSkStboszTJtEWDMN3X5PRA HgWXa1Ptakup9OajITnby4TpPfAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAP/Z