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<<include initialisation_variable>><<include init_plante>><<include menu>> <center><<include img_souris_vivante>></center>\ <span id="gauche">[[Souris mâle|souris_juvenile][$etape = 0; $sexe ="mâle"; $cobaye = "souris juvénile"; $init=1; $injection="non"; $injection2 ="non"]]</span><span id="droite">[[Souris femelle|souris_juvenile][$etape = 0; $sexe ="femelle"; $cobaye = "souris juvénile"; $init=1; $injection="non"; $injection2 ="non"]]</span> <center><<include img_tomate_accueil>></center>\ <span id="gauche">[[Graine de tomate|graine_tomate][$etape = 1; $cobaye = "graine de tomate"; $init=0]]</span><span id="droite">[[Jeune plant de tomate|condition_croissance_plante][$etape = 1; $cobaye = "Jeune plant de tomate"; $init=0]]</span> [[Plante de tomate fleurie|fleur_tomate][$etape = 1; $cobaye = "Plante de tomate fleurie"; $init=0]] <center><<include img_biolab_accueil>></center>\ <span id="gauche">[[Air|biolab_configuration][$etape = 1; $contenu = "air"; $init=1; $eclairage = "lumineux"; $temperature=20]]</span><span id="droite">[[Eau|biolab_configuration][$etape = 1; $contenu = "eau"; $init=1; $eclairage = "lumineux"; $temperature=20; $agitation ="eau calme"]]</span> <span id="gauche">[[Souris|biolab_configuration][$etape = 1; $contenu = "souris"; $temperature=20; $init=1; $eclairage = "lumineux"]]</span><span id="droite">[[Poisson|biolab_configuration][$etape = 1; $contenu = "poisson"; $init=1; $temperature=10; $eclairage = "lumineux"]]</span> <span id="gauche">[[Cloporte|biolab_configuration][$etape = 1; $contenu = "cloporte"; $init=1; $temperature=20; $hygrometrie = 70; $eclairage = "lumineux"]]</span><span id="droite">[[Pyrrhocore|biolab_configuration][$etape = 1; $contenu = "pyrrhocore"; $init=1; $temperature=20; $hygrometrie = 70; $eclairage = "lumineux"]]</span> <span id="gauche">[[Plant de tomate|biolab_configuration][$etape = 1; $contenu = "plante"; $init=1; $eclairage = "obscure"; $temperature=20]]</span><span id="droite">[[Graines de tomate|biolab_configuration][$etape = 1; $contenu = "graines en cours de germination"; $init=1; $temperature=20; $eclairage = "lumineux"]]</span> <center><<include img_bacterie>></center>\ [[Bactérie B1|condition_culture_microbienne][$etape = 0; $cobaye = "bactérie B1"; $init=1]] <span style="font-size:11px; color:grey">Pour des raisons pédagogiques, la bactérie B1 est une bactérie fictive. Elle est pathogène comme le bacille de Koch et elle se développe comme Escherichia Coli.</span> [[Réaliser un défi.|Defi]] <a data-passage="astuce"><center>''CREDITS - LICENCE - EXPLICATIONS''</center></a> <<include auteur>>
<<include menu>>\ <<if $defi == "sangsurvivant" and $etat == "vivante">><<if $injection == "bactérie B1" or $injection == "seconde injection de bactérie B1">><blockquote>BRAVO : tu as réussi le défi.</blockquote><<set $defi ="off">><<remember $sangsurvivant = "succès">><</if>><</if>>\ <center>\ <<if $analyse_sang is "souris">><div id="Layer1" style="position:relative; left:0px; top:0px; z-index:1"><<include img_analyse_sang>>\ <div id="Layer2" style="position:absolute; left:280px; top:20px; z-index:4">prélèvement de sang chez la souris <<if $etat == "morte">>morte<</if>></div></div>\ <<else>>\ <div id="Layer1" style="position:relative; left:0px; top:0px; z-index:1"><<include img_analyse_sang>> <<include img_analyse_sang>>\ <div id="Layer2" style="position:absolute; left:40px; top:20px; z-index:4">prélèvement de sang arrivant aux $analyse_sang</div> <div id="Layer2" style="position:absolute; left:280px; top:20px; z-index:4">prélèvement de sang partant des $analyse_sang</div></div>\ <</if>> <table width="480"><tr style="text-align:center"> <td width="20%"><button class="menu" data-passage="analyse_sang" data-setter="$analyse_sang to 'souris'"><<include icon_sang_general>></button></td> <td width="20%"><<if $etat is "vivante">><button class="menu" data-passage="analyse_sang" data-setter="$analyse_sang to ' muscles'"><<include icon_muscle>></button><<else>><div style="filter:grayscale(90%)"><<include icon_muscle>></div><</if>></td> <td width="20%"><<if $etat is "vivante">><button class="menu" data-passage="analyse_sang" data-setter="$analyse_sang to ' intestins'"><<include icon_intestin>></button><<else>><div style="filter:grayscale(90%)"><<include icon_intestin>></div><</if>></td> <td width="20%"><<if $etat is "vivante">><button class="menu" data-passage="analyse_sang" data-setter="$analyse_sang to ' poumons'"><<include icon_poumon>></button><<else>><div style="filter:grayscale(90%)"><<include icon_poumon>></div><</if>></td> <td width="20%"><<if $etat is "vivante">><button class="menu" data-passage="analyse_sang" data-setter="$analyse_sang to ' reins'"><<include icon_rein>></button><<else>><div style="filter:grayscale(90%)"><<include icon_rein>></div><</if>></td></tr> <tr style="font-size:10px; text-align:center"><td>souris</td><td>muscles</td><td>intestins</td><td>poumons</td><td>reins</td></tr></table></center>\ <<if $analyse_sang is "souris">>\ ''Composition moléculaire :'' <table> <tr><td>Eau<span style="color:#bdbdbd">...................</span><<print $eau>></td><td width="40"></td><td>//normal entre 810 et 840 g/L//</td></tr> <tr><td>Anticorps<span style="color:#bdbdbd">..........</span><<print $anticorps>></td><td width="40"></td><td>//normal entre 0,15 et 0,80 g/L//</td></tr> <tr><td>Dioxygène<span style="color:#bdbdbd">........</span><<if $etat is "morte">>ND<<else>><<print $dioxygene>><</if>></td><td width="40"></td><td>//normal entre 16 et 20 mL/L//</td></tr> <tr><td>Glucose<span style="color:#bdbdbd">............</span><<if $etat is "morte">>ND<<else>><<print $glucose>><</if>></td><td width="40"></td><td>// normal entre 1,4 et 1,8 g/L//</td></tr></table>\ ''Composition cellulaire :'' <table><tr><td>Lymphocytes<span style="color:#bdbdbd">....</span><<print $lymphocyte>></td><td width="40"></td><td>//normal entre 4 050 et 12 000/mm^^3^^//</td></tr> <tr><td>Phagocytes<span style="color:#bdbdbd">......</span><<print $phagocyte>></td><td width="20"></td><td>//normal entre 1 350 et 4 000/mm^^3^^//</td></tr> <tr><td>Hématies<span style="color:#bdbdbd">..........</span><<print $hematie>></td><td width="40"></td><td>//normal entre 6,7M et 12,5M/mm^^3^^//</td></tr></table>\ <<elseif $analyse_sang is " muscles">>\ <table width="480px" class="sang"> <tr><td></td><td>Sang arrivant dans le muscle</td><td>Sang partant du muscle</td></tr> <tr><td style="text-align:left">Dioxyde de carbone //(mL/L)//</td><td><<print $co2>></td><td><<print $co2 + 4>></td></tr> <tr><td style="text-align:left">Dioxygène //(mL/L)//</td><td><<print $dioxygene>></td><td><<print $dioxygene - 4>></td></tr> <tr><td style="text-align:left">Glucose //(g/L)//</td><td><<print $glucose>></td><td><<print ($glucose - 0.4).toFixed(1)>></td></tr> <tr><td style="border:none; text-align:left">Urée //(g/L)//</td><td style="border:none"><<print $uree>></td><td style="border:none"><<print $uree+0.3>></td></tr></table>\ <<elseif $analyse_sang is " intestins">>\ <table width="480px" class="sang"> <tr><td></td><td>Sang arrivant dans les intestins</td><td>Sang partant des intestins</td></tr> <tr><td style="text-align:left">Dioxyde de carbone //(mL/L)//</td><td><<print $co2>></td><td><<print $co2 + 2>></td></tr> <tr><td style="text-align:left">Dioxygène //(mL/L)//</td><td><<print $dioxygene>></td><td><<print $dioxygene - 2>></td></tr> <tr><td style="text-align:left">Glucose //(g/L)//</td><td><<print ($glucose - 0.4).toFixed(1)>></td><td><<print $glucose>></td></tr> <tr><td style="border:none; text-align:left">Urée //(g/L)//</td><td style="border:none"><<print $uree>></td><td style="border:none"><<print ($uree+0.2).toFixed(1)>></td></tr></table> <<elseif $analyse_sang is " poumons">>\ <table width="480px" class="sang"> <tr><td></td><td>Sang arrivant dans les poumons</td><td>Sang partant des poumons</td></tr> <tr><td style="text-align:left">Dioxyde de carbone //(mL/L)//</td><td><<print $co2 +3>></td><td><<print $co2>></td></tr> <tr><td style="text-align:left">Dioxygène //(mL/L)//</td><td><<print ($dioxygene - 3)>></td><td><<print $dioxygene>></td></tr> <tr><td style="text-align:left">Glucose //(g/L)//</td><td><<print $glucose>></td><td><<print ($glucose -0.2).toFixed(1)>></td></tr> <tr><td style="border:none; text-align:left">Urée //(g/L)//</td><td style="border:none"><<print $uree>></td><td style="border:none"><<print ($uree+0.2).toFixed(1)>></td></tr></table>\ <<elseif $analyse_sang is " reins">>\ <table width="480px" class="sang"> <tr><td></td><td>Sang arrivant dans les reins</td><td>Sang partant des reins</td></tr> <tr><td style="text-align:left">Dioxyde de carbone //(mL/L)//</td><td><<print $co2>></td><td><<print $co2 + 2>></td></tr> <tr><td style="text-align:left">Dioxygène //(mL/L)//</td><td><<print $dioxygene>></td><td><<print $dioxygene - 2>></td></tr> <tr><td style="text-align:left">Glucose //(g/L)//</td><td><<print $glucose>></td><td><<print ($glucose -0.1).toFixed(1)>></td></tr> <tr><td style="border:none; text-align:left">Urée //(g/L)//</td><td style="border:none"><<print ($uree +0.3).toFixed(1)>></td><td style="border:none"><<print $uree>></td></tr></table>\ <</if>>\ <<if $etat neq "vivante">>//ND : donnée ''N''on ''D''isponible//<</if>> [[Réaliser des expériences avec le sang.|preparation_sang][$choix1 = 0; $choix2 = 0; $choix3 = 0; $choix4 = 0; $choix5 = 0; $plasma = "sans"; $globule_rouge= "sans"; $globule_blanc = "sans"; $b1 = "sans"; $b2 = "sans"; $echelle="0,005mm"]] [[Retour.|souris_adulte][$etape = 0]] <<include auteur>>
>Que voulez-vous injecter ? [[Ne rien injecter.|souris_juvenile][$injection = "non"; $etape =0]] [[Injecter des bactéries B1.|souris_juvenile][$injection = "bactérie B1"; $etape =0]] [[Injecter un vaccin contre la bactérie B1.|souris_juvenile][$injection = "vaccin"; $etape =0]] [[Injecter du liquide physiologique (sans effet sur les organismes).|souris_juvenile][$injection = "liquide physiologique"; $etape =0]] <<if $ablation == "hypophyse">>\ [[Injecter le contenu de l'hypophyse|souris_juvenile][$injection = "molécule d'hypophyse"; $etape =0]]\ <<else>><div class="button_off">Si tu retires d'abord l'hypophyse de la souris, tu pourras la broyer pour récupérer son contenu afin de l'injecter dans la souris.</div> <</if>>
<<if $etape ==0>> <<include menu>><<if $cobaye is "sang">><<set $anticorps =1.8; $paratope="B", $plasma= "sans"; $globule_blanc="sans"; $globule_rouge="sans">><</if>>\ >Choisir les gouttes à mélanger. <<if $cobaye is "sang" or ($cobaye is "souris adulte" and $paratope =="T")>> <span style="color:#1976d2">Sang provenant d'une souris <<if $injection neq "non" or $cobaye is "sang">>''morte'' de la bactérie B1.<</if>></span> <label class="switch"><<checkbox "$plasma" "" sans>><span class="slider round"></span></label> Goutte de plasma (anticorps, dioxygène, eau, glucose) <label class="switch"><<checkbox "$globule_blanc" "" avec>><span class="slider round"></span></label> Goutte de phagocytes <label class="switch"><<checkbox "$globule_rouge" "" avec>><span class="slider round"></span></label> Goutte d'hématies <</if>>\ <<if $cobaye is "sang" or ($cobaye is "souris adulte" and $paratope != "T")>>\ <span style="color:#1976d2">Sang provenant d'une souris <<if $injection neq "non" or $cobaye is"sang">>ayant ''guéri'' de la bactérie B1.<</if>></span> <label class="switch"><<checkbox "$plasma" "" avec>><span class="slider round"></span></label> Goutte de plasma (anticorps, dioxygène, eau, glucose) <label class="switch"><<checkbox "$globule_blanc" "" avec>><span class="slider round"></span></label> Goutte de phagocytes <label class="switch"><<checkbox "$globule_rouge" "" avec>><span class="slider round"></span></label> Goutte d'hématies <</if>>\ <span style="color:#1976d2">Bactéries</span> <label class="switch"><<radiobutton "$bac" b1 checked>><span class="slider round"></span></label> Goutte de bactéries B1 <label class="switch"><<radiobutton "$bac" b2>><span class="slider round"></span></label> Goutte de bactéries B2 <label class="switch"><<radiobutton "$bac" sans >><span class="slider round"></span></label> Goutte d'eau <button class="manip" data-passage="preparation_sang" data-setter="$etape to 1">Observer le mélange au microscope.</button>\ <<elseif $etape ==1>> <<include parametres_lame_sang>> <<set $etape ="sang">> <<goto [[microscopie]]>> <</if>> <<if $cobaye is "sang">><<else>>[[Retour.|analyse_sang][$hauteur to either (2,3,5); $etape =0; $lame1 ="rien"; $lame2 ="rien"; $lame3 ="rien"; $plasma="sans"; $bac="sans"; $globule_blanc="sans"; $globule_rouge="sans"]]<</if>>\
<<include menu>><<include modele_immuno>><<include modele_bacterie>>\ <center>Boite ronde avec ''bactérie'' (vue du dessus)</center>\ <div id="Layer1" style="position:relative; left:120px; top:0px; z-index:1"><<include img_bg_culture>>\ <div id="Layer1" style="position:absolute; left:0px; top:0px; z-index:1"><<include $culture_bacterie>>\ <div id="Layer2" style="position:absolute; left:0px; top:0px; z-index:2"><<include img_petri>>\ <div id="Layer2" style="position:absolute; left:0px; top:0px; z-index:3"><<include img_inhibition_antibio>>\ <div id="Layer3" style="position:absolute; left:0px; top:0px; z-index:4"><<if $antibiotique == "avec">><<include img_vancomycine>><</if>>\ </div></div></div></div></div> <div style="font-size:10px">NOTE : Chaque «point» est une colonie bactérienne obtenue à partir d'une seule bactérie. Celle-ci s'est multipliée si bien qu'il y en a des milliers et que cela forme un point visible à l'oeil nu.</div><<if $antibiotique != "non">> Diamètre de la zone d'inhibition autour de l'antibiotique : $diametre_antibio mm <</if>> [[Observer les bactéries au microscope.|microscopie][$etape = "bacterie"; $echelle ="0,005mm"]] <<if $temperature_culture_microbienne <= 40>>\ [[Injecter les bactéries de la boite dans une souris juvénile.|souris_juvenile][$injection = "bactérie B1 de la boîte"; $cobaye = "souris juvénile"; $etape = 0; $init =1]]\ <<elseif $temperature_culture_microbienne == 90>>\ [[Injecter les bactéries de la boite dans une souris juvénile.|souris_juvenile][$injection = "bactérie B1 morte de la boîte"; $cobaye = "souris juvénile"; $etape = 0; $init =1]]<</if>> >''CONDITIONS EXPÉRIMENTALES'' >Durée de culture : 5 jours >Température : <<print $temperature_culture_microbienne>>°C >Lumière : <<print $lampe_culture_microbienne>> >Substance nutritive : <<print $milieu_culture_microbienne>> > Antibiotique : <<if $vancomycine == "vancomycine">> vancomycine <</if>>\ <<if $penicilline == "penicilline">> penicilline <</if>>\ <<if $amoxicilline == "amoxicilline">> amoxicilline<</if>>\ <<if $antibiotique == "non">>Non<</if>> <<include auteur>>
<<include menu>><<if $init==1>><<include init_bacterie>><</if>><<if $amoxicilline is "" and $penicilline is "" and $vancomycine is "">><<set $antibiotique = "non">><<else>><<set $antibiotique = "oui">><</if>>\ <center>Boite ronde avec ''bactérie'' (vue du dessus) <div id="Layer1" style="position:relative; left:0px; top:0px; z-index:1"><<include img_bg_culture>> <div id="Layer2" style="position:absolute; left:120px; top:0px; z-index:2"><<include img_petri>></div> <div id="Layer2" style="position:absolute; left:120px; top:0px; z-index:2"><<if $antibiotique == "avec">><<include img_vancomycine>><</if>> </div></div></center>\ \ <<if $etape == 0>>\ [["Substances nutritives : " + $milieu_culture_microbienne|condition_culture_microbienne][$etape = 1; $init=0]] [["Température : " + $temperature_culture_microbienne + "°C"|condition_culture_microbienne][$etape = 2; $init=0]] [["Antibiotiques : " + $antibiotique + " (" + $penicilline + " " + $amoxicilline + " " + $vancomycine + ")"|condition_culture_microbienne][$etape = 3; $antibiotique="avec"; $init=0]] [["Eclairage : " + $lampe_culture_microbienne|condition_culture_microbienne][$etape = 4; $init=0]] <button class="manip" data-passage="agenda" data-setter="$agenda to 'bacteries'; $duree to 5; $etape_culture_microbienne to 'finale'; $init=0">Démarrer la culture de bactérie.</button>\ <<elseif $etape is 1>>\ <blockquote>Choisir les substances nutritives à placer dans la boite de Pétri.</blockquote>\ [[Gélose avec sang|condition_culture_microbienne][$etape = 0; $milieu_culture_microbienne = "gélose avec sang"]] [[Gélose avec lactose|condition_culture_microbienne][$etape = 0; $milieu_culture_microbienne = "gélose avec lactose"]]\ <<elseif $etape is 2>>\ <blockquote>Choisir la température de culture microbienne.</blockquote>\ [[25°C|condition_culture_microbienne][$temperature_culture_microbienne = 25; $etape = 0]] [[37°C|condition_culture_microbienne][$temperature_culture_microbienne = 37; $etape = 0]] [[39°C|condition_culture_microbienne][$temperature_culture_microbienne = 39; $etape = 0]] [[90°C|condition_culture_microbienne][$temperature_culture_microbienne = 90; $etape = 0]]\ <<elseif $etape is 3>>\ <blockquote>Sélectionner le ou les antibiotiques à déposer sur la pastille de papier placée au centre de la boîte.</blockquote>\ <label class="switch"><<checkbox "$amoxicilline" "" amoxicilline>><span class="slider round"></span></label> Amoxicilline <label class="switch"><<checkbox "$penicilline" "" penicilline>><span class="slider round"></span></label> Pénicilline <label class="switch"><<checkbox "$vancomycine" "" vancomycine>><span class="slider round"></span></label> Vancomycine <button class="manip" data-passage="condition_culture_microbienne" data-setter="$etape to 0">Valider mon choix.</button>\ <<elseif $etape is 4>>\ <blockquote>Choisir le type d'éclairage.</blockquote>\ [[Lampe classique.|condition_culture_microbienne][$lampe_culture_microbienne = "lampe classique"; $etape = 0]] [[Lampe à ultra-violet.|condition_culture_microbienne][$lampe_culture_microbienne = "lampe à UV"; $etape = 0]] <</if>> <<include auteur>>
<<silently>> <<if $penicilline == "penicilline">>\ /* ce code hierarchise les images pour que ce soit l'antibiotique le plus puissant qui s'affiche au premier plan */ <<set $pastille = "img_penicilline"; $diametre_antibio = "31">>\ <<set $antibiotique = "avec">>\ <<elseif $amoxicilline == "amoxicilline">>\ <<set $pastille = "img_amoxicilline"; $diametre_antibio = "24">>\ <<set $antibiotique = "avec">>\ <<elseif $vancomycine == "vancomycine">>\ <<set $pastille = "img_vancomycine"; $diametre_antibio = "0">>\ <<set $antibiotique = "avec">>\ <</if>>\ \ <<if $etape_culture_microbienne == "finale">> <<if $milieu_culture_microbienne == "gélose avec lactose">> <<set $culture_bacterie = "svg_bacterie_pas_croissance">> <<set $lame1 = "img_bacteries_mortes">> <<else>> <<if $temperature_culture_microbienne == 25>> <<set $culture_bacterie = "svg_bacterie_faible_croissance">> <<set $lame1 = "img_bacteries_mobiles_rares">> <<elseif $temperature_culture_microbienne == 37>> <<if $lampe_culture_microbienne =="lampe classique">> <<set $culture_bacterie = "svg_bacterie_mutation_faible">> <<set $lame1 = "img_bacteries_mobiles">> <<elseif $lampe_culture_microbienne =="lampe à UV">> <<set $culture_bacterie = "svg_bacterie_mutation_forte">> <<set $lame1 = "img_bacteries_mobiles">> <</if>> <<elseif $temperature_culture_microbienne == 39>> <<set $culture_bacterie = "svg_bacterie_faible_croissance">> <<set $lame1 = "img_bacteries_mobiles_rares">> <<elseif $temperature_culture_microbienne == 90>> <<set $culture_bacterie = "svg_bacterie_pas_croissance">> <<set $lame1 = "img_bacteries_mortes">> <</if>> <</if>> <<elseif $cobaye == "bactérie B1">>/* cette condition est indispensable pour que ce script n'entre pas en conflit avec d'autres*/ <<set $culture_bacterie = "svg_bacterie_mutation_pas_croissance">> <<set $lame1 = "img_bacteries_mobiles">> <</if>> <</silently>>
<<include menu>>\ <center>$cobaye</center> <<if $eclairage_serre == "obscure">><div style="filter:grayscale(90%)"><div id="Layer1" style="position:relative; left:155px; top:0px; z-index:1"><<if $sol_serre == "coton">><<include pot_coton>><<elseif $sol_serre =="cendres volcaniques">><<include pot_cendre>><<else>><<include pot_terre>><</if>><div id="Layer2" style="position:absolute; left:0px; top:0px; z-index:2"><<include img_tomate>></div></div>\ <<else>><div id="Layer1" style="position:relative; left:155px; top:0px; z-index:0"><<if $sol_serre == "coton">><<include pot_coton>><<elseif $sol_serre =="cendres volcaniques">><<include pot_cendre>><<else>><<include pot_terre>><</if>><div id="Layer2" style="position:absolute; left:0px; top:0px; z-index:2"><<include img_tomate>></div></div><</if>>\ <<if $etape == 1>>\ [["Contenu du pot : " + $sol_serre|condition_croissance_plante][$etape = 2]] [["Type d'air : "+ $air_serre|condition_croissance_plante][$etape = 3]] [["Type d'arrosage : " + $arrosage_serre|condition_croissance_plante][$etape = 4]] [["Eclairage : " + $eclairage_serre|condition_croissance_plante][$etape = 5]] [["Température : " + $temperature_serre|condition_croissance_plante][$etape = 6]] <button class="manip" data-passage="analyse_seve">Attendre 1 heure puis analyser la sève.</button>\ <button class="manip" data-passage="agenda" data-setter="$agenda to 'croissance_plante'; $duree to 15; $jour to 15">Cultiver la plante pendant 15 jours.</button>\ <<elseif $etape == 2>> [[Planter dans de la terre.|condition_croissance_plante][$sol_serre = "terre"; $etape = 1]] [[Planter dans du coton.|condition_croissance_plante][$sol_serre = "coton"; $etape = 1]] [[Planter dans de la terre contenant de l'engrais.|condition_croissance_plante][$sol_serre = "terre contenant de l'engrais"; $etape = 1]] [[Planter dans de la terre contenant des mycorhizes.|condition_croissance_plante][$sol_serre = "terre contenant des mycorhizes"; $etape = 1]] [[Planter dans des cendres volcaniques.|condition_croissance_plante][$sol_serre = "cendres volcaniques"; $etape = 1]] <<elseif $etape == 3>> [[Air complet (diazote, dioxygène et dioxyde de carbone).|condition_croissance_plante][$air_serre = "air complet"; $etape = 1]] [[Air sans dioxygène.|condition_croissance_plante][$air_serre = "air sans dioxygène"; $etape = 1]] [[Air sans dioxyde de carbone.|condition_croissance_plante][$air_serre = "air sans dioxyde de carbone"; $etape = 1]] [[Air enrichi en dioxyde de carbone (0,08% au lieu de 0,04%).|condition_croissance_plante][$air_serre = "air riche en dioxyde de carbone"; $etape = 1]] //NOTE : L'air est injecté au début de l'expérience. Il peut ensuite varier à cause des rejets de la plante.// <<elseif $etape == 4>> [[Ne pas arroser le jeune plant.|condition_croissance_plante][$arrosage_serre = "ne pas arroser"; $etape = 1]] [[Arroser avec de l'eau distillée (=eau pure sans sels minéraux).|condition_croissance_plante][$arrosage_serre = "arrosage avec de l'eau distillée"; $etape = 1]] [[Arroser avec de l'eau minéralisée (=eau avec des sels minéraux).|condition_croissance_plante][$arrosage_serre = "arrosage avec de l'eau minéralisée"; $etape = 1]] <<elseif $etape == 5>> [[Placer le jeune plant 24h par jour à l'obscurité.|condition_croissance_plante][$eclairage_serre = "obscure"; $etape = 1]] [[Placer le jeune plant 12h par jour à la lumière du jour.|condition_croissance_plante][$eclairage_serre = "lumineux"; $etape = 1]] <<elseif $etape == 6>> [[Régler la température à 8°C dans la serre.|condition_croissance_plante][$temperature_serre = "8°C"; $etape = 1]] [[Régler la température à 19°C dans la serre.|condition_croissance_plante][$temperature_serre = "19°C"; $etape = 1]] [[Régler la température à 35°C dans la serre.|condition_croissance_plante][$temperature_serre = "35°C"; $etape = 1]] <</if>>\ <<include auteur>> <<silently>><div class="button_off">Enrichir l'air avec du CO₂. En 2020, l'air contenait environ 400 ppm.</div> <span id="etiquette">[[400 ppm|condition_croissance_plante][$air_serre = "air avec 400 ppm de CO₂"; $etape=1]][[600 ppm|condition_croissance_plante][$air_serre = "air avec 600 ppm de CO₂"; $etape=1]][[800 ppm|condition_croissance_plante][$air_serre = "air avec 800 ppm de CO₂"; $etape=1]]</span><</silently>>
<<include menu>>\ <<silently>>\ <<set $erreur_manipulation to random(1,8)>>\ <<if $erreur_manipulation > 1>>\ <<if $arrosage_serre == "arrosage avec de l'eau minéralisée" and $air_serre != "air sans dioxygène">>\ <<if $temperature_serre == "8°C">>\ <<set $img = "img_graine_petit_germe">>\ <<set $taille_plante = randomFloat(1,3).toFixed(1)>> <<elseif $temperature_serre == "19°C">>\ <<set $img = "img_graine_grand_germe">>\ <<set $taille_plante = randomFloat(2.4,5).toFixed(1)>> <<else>>\ <<set $img = "img_graine">>\ <<set $taille_plante = 0>> <</if>>\ <<else>>\ <<set $img = "img_graine">>\ <<set $taille_plante = 0>> <</if>>\ <<else>>\ <<set $img = "img_graine">>\ <<set $taille_plante = 0>> <</if>>\ <</silently>>\ <center>Graine 7 jours plus tard. <<if $eclairage_serre == "obscure">><div style="filter:grayscale(90%)"><<include $img>></div><<else>><<include $img>><</if>> Taille du germe : <<print $taille_plante>> cm</center> <<if $taille_plante > 2>> <button class="manip" data-passage="agenda" data-setter="$agenda to 'condition_croissance_plante'; $duree to 20; $etape to 1; $cobaye to 'Jeune plant de tomate'">Laisser la plantule se développer et devenir un jeune plant.</button><</if>> >''CONDITIONS EXPÉRIMENTALES'' >Contenu du pot : <<print $sol_serre>> >Type d'arrosage : <<print $arrosage_serre>> >Type d'éclairage : <<print $eclairage_serre>> >Température réglée : <<print $temperature_serre>> >Type d'air : <<print $air_serre>> <<include auteur>>
<<include menu>>\ <<silently>> <<set $erreur_manipulation to random(1,10)>> <<if $air_serre == "air sans dioxygène" and $eclairage_serre =="obscure">> /* je définis ce qu'il se passe si les conditions ne sont pas réunis du pire au moins pire */ <<set $varA = "img_croissance_sans_O2">> <<set $taille_plante to (random(20,26)+random(20,26)+random(20,26))/10>> <<set $poids_feuille to (random(10,16)+random(10,16)+random(10,16))/10>> <<elseif $arrosage_serre == "ne pas arroser">> <<set $varA = "img_croissance_sans_eau">> <<set $taille_plante to (random(20,33)+random(20,33)+random(20,33))/10>> <<set $poids_feuille to (random(13,16)+random(13,16)+random(13,16))/10>> <<elseif $air_serre == "air sans dioxyde de carbone">> <<set $varA = "img_croissance_sans_CO2">> <<set $taille_plante to (random(40,66)+random(40,66)+random(40,66))/10>> <<set $poids_feuille to (random(26,33)+random(26,33)+random(26,33))/10>> <<elseif $eclairage_serre == "obscure">> <<set $varA = "img_tomate_obscurite">> <<set $taille_plante to (random(20,33)+random(20,33)+random(20,33))/10>> <<set $poids_feuille to (random(10,16)+random(10,16)+random(10,16))/10>> <<elseif $arrosage_serre == "arrosage avec de l'eau distillée">> <<if $sol_serre == "coton">> <<set $varA = "img_croissance_sans_sels"; $taille_plante to ((random(33,53)+random(33,53)+random(33,53))/10); $poids_feuille to ((random(27,36)+random(27,36)+random(27,36))/10)>> <<elseif $sol_serre == "cendres volcaniques" or $sol_serre == "terre contenant de l'engrais" or $sol_serre == "terre contenant des mycorhizes">> <<set $varA = "img_croissance_sans_sels"; $taille_plante to ((random(66,83)+random(66,83)+random(66,83))/10); $poids_feuille to ((random(46,60)+random(46,60)+random(46,60))/10)>> <<else>> <<set $varA = "img_croissance_sans_sels"; $taille_plante to ((random(46,73)+random(46,73)+random(46,73))/10); $poids_feuille to ((random(33,50)+random(33,50)+random(33,50))/10)>> <</if>> <<elseif $erreur_manipulation >1>> /* ce qu'il se passe dans des conditions acceptables */ <<if $sol_serre == "cendres volcaniques" or $sol_serre == "terre contenant de l'engrais" or $sol_serre == "terre contenant des mycorhizes">> <<set $varA = "img_super_croissance">> <<set $taille_plante to (random(150,183)+random(150,183)+random(150,183))/10>> /*45 > 55 */ <<set $poids_feuille to (random(110,133)+random(110,133)+random(110,133))/10>> /*35 > 40*/ <<elseif $sol_serre == "coton">> <<set $varA = "img_croissance_normale">> <<set $taille_plante to (random(110,133)+random(110,133)+random(110,133))/10>> /* 33> 40 */ <<set $poids_feuille to (random(86,96)+random(86,96)+random(86,96))/10>> /*26 > 29 */ <<else>> <<set $varA = "img_croissance_normale">> <<set $taille_plante to (random(130,150)+random(130,150)+random(130,150))/10>> /*39 > 45 */ <<set $poids_feuille to (random(96,120)+random(96,120)+random(96,120))/10>> /*29 > 36 */ <</if>> <<if $air_serre =="air riche en dioxyde de carbone">> <<set $taille_plante +=5>> <<set $poids_feuille +=4>> <</if>> <<if $temperature_serre =="35°C" or $temperature_serre =="8°C">> <<set $taille_plante -=5>> <<set $poids_feuille -=4>> <</if>> <<else>> / ce qu'il se passe en cas d'expérience ratées */ <<set $varA = "img_croissance_sans_O2">> <<set $taille_plante to (random(20,26)+random(20,26)+random(20,26))/10>> <<set $poids_feuille to (random(10,16)+random(10,16)+random(10,16))/10>> <</if>> <</silently>>\ <<if $defi == "planteterre">>\ <<if $sol_serre == "coton" and $air_serre == "air complet" and $arrosage_serre == "arrosage avec de l'eau minéralisée" and $eclairage_serre == "lumineux">>\ <blockquote>BRAVO : tu as réussi le défi.</blockquote><<remember $planteterre = "succès">><<set $defi to "off">>\ <</if>>\ <</if>>\ <center>Plante</center>\ <div id="Layer1" style="position:relative; left:155px; top:0px; z-index:0"><<if $sol_serre == "coton">><<include pot_coton>><<elseif $sol_serre =="cendres volcaniques">><<include pot_cendre>><<else>><<include pot_terre>><</if>><div id="Layer2" style="position:absolute; left:0px; top:0px; z-index:2"><<include $varA>></div></div>\ <blockquote>\ Taille de la plante : <<print $taille_plante>> cm Masse des tiges et feuilles (après déshydratation) : <<print $poids_feuille>> g </blockquote>\ <<if $taille_plante > 33>>\ [[Couper une branche et la placer dans un verre d'eau|bouture]] [[Laisser la plante fleurir.|agenda][$agenda = "fleur_tomate"; $duree = 20; $etape = 1; $cobaye = "tomate"; $nombre_plante = "seule"]]<</if>>\ <blockquote>''CONDITIONS EXPÉRIMENTALES'' Contenu du pot : <<print $sol_serre>> Air injecté : <<print $air_serre>> Type d'arrosage : <<print $arrosage_serre>> Type d'éclairage : <<print $eclairage_serre>> Température : <<print $temperature_serre>> </blockquote> <<include auteur>>
<<silently>><<set $day to either(4,5,6)>> <<if $ablation == "moelle osseuse">> <<set $phagocyte to random (100,200) ; $lymphocyte to random (1800,2200) ; $anticorps to randomFloat (0.09,0.13).toFixed(2); $hematie to randomFloat (3.2,3.9).toFixed(1); $dioxygene to random (11,14)>> <</if>> /*Selon le type d'injection, la souris réagit différemment*/ <<if $injection == "liquide physiologique">> /* cela ne change rien */ <<elseif $ablation == "moelle osseuse" and $injection == "bactérie B1">> <<set $etat = "morte">> <<elseif $injection == "bactérie B1" or $injection =="bactérie B1 de la boîte">> <<if $paratope =="B" or $paratope =="BB">> /* le système immunitaire se défend */ <<set $phagocyte to random (6000,7500)>> <<set $lymphocyte to random (14000,16000)>> <<set $anticorps to randomFloat (1.8,2.0).toFixed(2)>> <<else>>/* le système immunitaire est défaillant */ <<set $etat = "morte">> <</if>> <<elseif $injection == "bactérie B1 morte de la boîte" or $injection == "vaccin">>/* dans ce cas, la souris a reçu un vaccin et le système immunitaire se défend.*/ <<set $paratope ="B">> <<set $lymphocyte to random (12000,13000)>> <<set $anticorps to randomFloat (1.8,2.0).toFixed(2)>> <</if>> <<if $injection2 == "bactérie B1">> <<if ($paratope == "B" or $paratope == "BB") and $anticorps <= 0.9>> <<set $phagocyte to random (6000,7500)>> <<set $lymphocyte to random (14000,16000)>> <<set $anticorps to randomFloat (1.8,2.0).toFixed(2)>> <<elseif ($paratope =="B" or $paratope == "BB") and $anticorps >= 0.9>> <<set $anticorps to randomFloat (2.4,2.9).toFixed(2)>> <<else>> <<set $etat = "morte">> <</if>> <<elseif $injection2 == "bactérie B2">> <<if $paratope =="BB" and $anticorps <= 0.9>> <<set $phagocyte to random (6000,7500)>> <<set $lymphocyte to random (14000,16000)>> <<set $anticorps to randomFloat (1.8,2.0).toFixed(2)>> <<elseif $paratope =="BB">> <<else>> <<set $etat = "morte">> <</if>> <<elseif $injection2 == "aucune">> <<if $anticorps >= 0.9>> <<set $anticorps to randomFloat (1.3,1.5).toFixed(2)>> <</if>> <</if>> <<endsilently>>\
<<include menu>>\ <blockquote>Tente les défis : Après avoir sélectionné un défi, tu dois le réussir sans cliquer sur un des 5 boutons du menu sinon le défi sera annulé.</blockquote>\ <<if $lamecassee == "succès">>\ <div class="button_on">Tu as réussi à casser une lame microscopique.</div> <<else>>\ [[Casser une lame microscopique|Start][$etape = 1; $defi ="lamecassee"]] <</if>>\ <<if $planteterre == "succès">>\ <div class="button_on">Tu as réussi à imaginer un test pour prouver que les plantes n'ont pas besoin de terre pour grandir.</div> <<else>>\ [[Imaginer un test pour prouver que les plantes n'ont pas besoin de terre pour grandir.|Start][$etape = 1; $defi = "planteterre"]] <</if>>\ <<if $sangsurvivant == "succès">>\ <div class="button_on">Tu as réussi à prélever du sang d'une souris ayant survécu à l'injection de bactéries B1.</div> <<else>>\ [[Analyser le sang d'une souris ayant survécu à l'injection de bactéries B1.|Start][$etape = 1; $defi = "sangsurvivant"]] <</if>>\ <<if $vaccin == "succès">>\ <div class="button_on">Tu as réussi à créer un vaccin pour protéger les souris de la bactérie B1.</div> <<else>>\ [[Créer un vaccin pour immuniser une souris contre la bactérie B1.|Start][$etape = 1; $defi ="vaccin"]] <</if>>\ <<if $ethique == "succès">>\ <div class="button_on">Tu as réussi le défi «Éthique».</div> <<else>>\ [[Faire mourir le plus de souris possibles en 2 minutes.|ethique][$etape = 1; $defi ="ethique"]] <</if>>\ /*<div class="button_off">Améliorer la croissance végétales sans engrais de synthèse (à venir)</div> <div class="button_off">Rater une expérience de germination malgré des conditions idéales (à venir)</div> <div class="button_off">Prouver que l'élévation d'un degré diminue la croissance des végétaux (bientôt disponible)</div>*/ [[Réinitialiser les défis.|reboot][$etape = 1]] [[Retour|Start]] <<include auteur>>
<<include menu>> <<if $etape is 1>> <blockquote>Etes-vous sur de réinitialiser vos découvertes et vos défis ? </blockquote> [[Non|Start]] [[Oui|reboot][$etape = 2]] <<elseif $etape is 2>> <blockquote>Réinitialisation effectuée.</blockquote> <<forget $sangsain>><<forget $sangsurvivant>><<forget $sangmort>><<forget $planteterre>><<forget $sangsurvivant>><<forget $lamecassee>><<forget $vaccin>><<forget $sangtetanos>><<forget $sang2coccus>><<forget $sangmortVirus>><<forget $sangsurvivantVirus>><<forget $ethique>> <</if>>
<table class="menu">\ <tr>\ <td width="96">\ <button class="menu" data-passage="Start" data-setter="$defi to 'off'; $CurDate = new Date(Date.now())"><<include icon_thyp>></button> </td>\ <td width="96">\ <button class="menu" data-passage="souris_juvenile" data-setter="$init to 2; $cobaye ='souris juvénile'; $etape to 0; $defi to 'off'; $CurDate = new Date(Date.now())"><<include icon_souris>></button> </td>\ <td width="96">\ <<if $cobaye is "graine de tomate">><button class="menu" data-passage="graine_tomate" data-setter="$init to 1; $defi to 'off'; $CurDate = new Date(Date.now())"><<include icon_plant>></button><<elseif $cobaye is "Plante de tomate fleurie">><button class="menu" data-passage="fleur_tomate" data-setter="$init to 1; $defi to 'off'; $CurDate = new Date(Date.now())"><<include icon_plant>></button><<else>><button class="menu" data-passage="condition_croissance_plante" data-setter="$cobaye to 'Jeune plant de tomate'; $init to 0; $etape to 1; $defi to 'off'; $CurDate = new Date(Date.now())"><<include icon_plant>></button><</if>>\ </td>\ <td width="96">\ <button class="menu" data-passage="biolab_configuration" data-setter="$etape to 1; $init to 2; $defi to 'off'; $CurDate = new Date(Date.now())"><<include icon_biolab>></button> </td>\ <td width="96">\ <button class="menu" data-passage="condition_culture_microbienne" data-setter="$etape to 0; $init to 2; $defi to 'off'; $CurDate = new Date(Date.now())"><<include icon_bact>></button> </td></tr></table>\
<<include menu>> <center>[img[logo]]</center> Un logiciel créé par ''Guillaume Berthelot'', professeur de SVT dans l'académie de ''Créteil''. ''Réalisez vos propres tests'' Vous pouvez faire plusieurs dizaines de test. Il n'existe aucune manière de savoir si votre test est correctement conçu ou pas, alors réflechissez bien ! ''Mener 2 tests à la fois.'' En ouvrant ''thyp'' dans un second onglet, vous pouvez comparer vos tests entre eux. ''Attention aux erreurs de manipulation ! '' Comme dans un véritable laboratoire, il arrive parfois que les résultats soient erronés à cause d'un matériel défectueux ou d'une manipulation hasardeuse. ''Recommencez plusieurs fois pour valider vos résultats.'' Faites autant de tests que nécessaire pour être certain de vos résultats. Cela ne coûte rien et aucun être vivant n'est maltraité. ''Capturer vos écrans.'' En réalisant une //capture écran//, vous pouvez illustrer facilement vos compte-rendus. ''Un logiciel pour le cycle 3 et 4.'' Le logiciel permet de traiter plusieurs parties du programme de la sixième à la troisième. ''Compatible avec tous types d'appareil connecté.'' Le logiciel nécessite uniquement un navigateur et une connexion internet. ''Téléchargeable pour fonctionner hors ligne.'' [[Télécharger le fichier hors-ligne|https://drive.google.com/u/0/uc?id=1-wDXMaV0yu5OuHMVlD2NK0__rnNx8T7o&export=download]] ''Explication des algorithmes.'' [[Télécharger la documentation expliquant les algorithmes|https://drive.google.com/u/0/uc?id=1LPskC9CljnzvXO9AfpgWxFIP6fUeeO6c&export=download]] Pour toute suggestion, contactez-moi sur mon mail académique. <a rel="license" href="https://creativecommons.org/licenses/by-nc-sa/2.0/fr/">Ce logiciel est gratuit et sous licence CC BY-NC-SA</a> <a href="https://www.twinery.org">Ce logiciel a été codé avec ''Twine''.</a>\ <<include auteur>>
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">
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">
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<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAHgAAABNCAIAAADisTebAAAACXBIWXMAAAsSAAALEgHS3X78AAANeklEQVR42u2caVciRxSG5///gWwnH5N8Sj7k5Jw4SWYUkFXUcUZFFBHEBRCwWZp9yVN1oacFYWjEBmesgxyWpvvWW7fe+95b1b4ZvDZX2ptVG/CttFegXWqvQLvUXoF2qb0C7VJ7Bdql9gq0S+0VaJfaK9AutRcMdL/fl2erTX47ecDYYa61lwf0NNT605v9mLFn19oLA/pRZHu6zfiVHPAoyq7B/ZKAnu2tM45cteGqvQygx4DrdDrNZrNer1er1fv7+2w2m8lkLi8vb29vi8VipVIxTbPRaLTb7fWBe32Btse6gZ7+wJrP50Hz5ubm+vqaF7wFWcMw6rqVy2Xe3t3dAT0HXF1d5XI5Pl9tGJS2jkBP6gSgvLi4SKfT+K/lrd1u1+JoO1/Ls3g9uCeTSfy91WoNbMPmfls7oC28BtqLgTgWiyUSCRzTOsaO7KSqs4Mun+DjR0dHdrjd79caAW0HCLctFAq4MOjweuwAR2ezmAe4mRac1honN3u3LkBbcBDK4FbwBRe82O68C5/ZoiDIhJND3xbtuIb4KoEeC3fAKkRcq9Vg2OUCYZ0KiImQELfFRXMqxTEl7rStDGh7B+gz4iwejyMbBtOz6iVeF+o/PT3lovj4NMYf05SMkAz/YlivAGjLVkyHKFBpeHGpVOo/rF08twHgK2EAscgAW2QyBjGf8y16kVFhHmDnYhTvKtD2DgAxRAxj4lx2T3GHMcdwhLVhrftS6d4weA2sxft7YbBUKsUnyMqmbsBtYb2OQI9NQ6zHO+jJDKHmpkmYgTA//PTp5OioEAxmt7Yuw+FkPB7d3cUPGAxLniMQGRL5ZO2AtnMF2R3kSDgaPNQDbkI8ZpsgqDw3na4fHFSCQTMarQUCjZ2dy+Pj65ubMVbBwemFU7OfHWjLa3AZ8GXqoYtX5cXTzCPVjB0fNw4Py35/dWdHPaLRSjhc8/tT0Wgun7fLQZgdWndqvEtAw4Pn5+f5fN5e6FklwA/NyxUKV5EIsFYE5dFDvfX7MxcXpk3R4y5gvV5AizXgC11YEA9WXd8Zs1DxRiZTiUSqoRCODL41qIMXQL+7W93evvn40ahULKAllV8XoC23JUYjodbNke12Ylua/AV3BusRykOsIZBg8DoUOj4+5jAJhrDfF5caJtuzAG2nM1BGFa0hxJapZqORjsdNr7dic+fhA/YIhUoHBwBNDBQORPivi7yzuAwltMAsc7MBWblavYrFAFp4Qx4W1gBd/PCBvkh1u1gsSm61eqCF9TAIlAcrLQHP0zC1ZBjZWKwK0DAy4O7tKWoWuLVH53d3Jfqd6SalLqcXWg7QY+KfPEoYYwGDXG6K30qlQixW8XjAt+z13v/9t/Hu3dC78Wi/P3d4aJTLUpMhqi82R5cAtLqkXLnVKmez6RQxPGMtIK15w0iy7ez+PuoCmVH47bfc99/nfvrJePuWt1WtOm6TyUq12tUN9qiMFIijCy0I9FhpgmDcuLiA0XI+347P1xyN+fpjDWQ100zt79d9PlRH4ddfc999B9b5n3823r8vh0L1nZ2rTEaqBVIuXyBbWRDoz1oYoiCpOjsrb24aTL1o9NLnC/r9jbWUzNP6gp+en57C0ZVAoPDLL3k8GqB//PH+7VsiZCYWy9gWCsAaVnRJRw/rXrVa4+QE4ypMOgnWoZARCNx6vfHt7Xw229HGrRrJubqDU3dMs3VzU373LvfDD+LRxY2NZCBwlc32bSV/yb9ojoF2jIWgXK2qiOz3Q2SVcLissW4kEu1crlsoNG5vr9Jp9OaL8Gt7JKdfBMPSH3/cb2xkcfARoHagkXewh9OrOPZoNXmaTfPgQBJWEicgbmezcIiMvHrWq/2Xur0grOUF2qJnmjy6xHP6MnGkYRhEe6eXcObRAiIap6KrXCpnjUR6tVpfvpoY/GQyic5/4mqby3APfeVhR+zHEA9TqdQzAj2UcLe3iE2FMr4ciXQrlf4EjnYTAToLX3c6K1nkXwxuO+iT35qmiQM5Pee8QA8v2+lUA4FqOAzKZFDEw/5M+KRkA6OB9YvgkDHjBxOI84IU4fz83OnZnAGt4vLWlsqawuGebSFqtqFoIySRFGVeEMrlcpkUd7I7ZLwk4k7PNlcw/OzOukqLOzeSSeHrL/7Q+vl5IpEjZurwsv5wYyez8K+//trY2JAlIasj+E08Hnd0NifU0eu183kVA/f2cOduudyfLw21pl4zHk94vfd6CXnVMM6LDi0Wi3m9XjJDO9aLAD3PccoNu916PK7cORBonJ72beuVc1rMPCj6/anDQ6mgL9zzGWFqudTUH+1KPTg4AG77suGzUYe+YP34GLFR9ngQHoo0HOlCgPb5GKeL7W10qCNQpuFL8k+YPT09RWwhuZYeAORs4Ht3d+f3+609TXwoFWBH7Y39pJNdGspKPbiNs7OhR5+dOVPf/LrZLG9u1qLRUjAY39vrPNxjOHa5kZZ9sOsZz2Iq0NtqtUrOSdxHY5EKAzchi57zFjJdLi+NYlMnGAwSGy17iO1Oz/Nm9tf26zVTKZUN7uyYHz/2HdYx4HRV5NWLymmvNxWL4Sayq3xsP6PsZUFC4aQcUCwWQZO4BLjXuvGCJHisrNMf5RH2JeAZnXp0mGdgDUdzZust08jpmH3Zo63PW5mMSlL06kOXQOykJkuObrx/r5hna8vweMpnZzgICJLOgI7cfgIPkNriLLyVNEcGAxemn0APuGOjMmY2B8Oek9J+sncMMKeVmwcgB+vbaUDbr4UNBMOxYZ7dBvPXOtQFSiVUB3kKcHeKRUeTtHV5CbmjDiEQEkszFuvbTARBMMIleTG5IXqSSfrTIyHjdKeXnez4Ws+yP/r4+DiRSAjbMDAnJycM+dioTGuqfl2r8cP+6I4CZx49D9DQRW1/X9LCoY6eO5ohVFSFLxpVfg3R+3w9zaeTqE3j7hkntw8GZ0x8+iTr7vZj+EaYXTbxPHCCVgv0YQNh4S/2BTazFyafAWjy6VwOl1Srlru7ZEhfTFis35qHh1WydjyaxDIUYmY0Ly4enf6OrP9sW6tFpt+6viaQXHs82UxmbAYUCgXQnGQeq8k2eKH+2SBAcQuIHAdlUnFqRdM49fZ2e75tUeJpEI7a+APQHg+6RRabe43G00WC2NAxDEyqMIShkOH3n4dCpq0Og6tCEdPipIU1IaGoKXEGX/MtgcTaZ/xcQPOH10CyasvlwcFAS+zZv+ppGVHTK8q1SMT499+Kli7AzfzoL6Ok19ML1Ax/2eczNjfN/f1asXgaj8ueDZ5h4XluY8apZZlq2pESTqydSs/p0TroKpFHrzyenl7qnn09NQ3QaqGQ2iyh2bmiyZqhIgNSMnEpTo3QRvNdXhKlxaBsJLIXCBz4fGdHRxFypZmT3aJ4YZhpwUMWZ93YqSTmNBIJgCO4NUYqZzavqXkdCCj2CIXqsZiKqCOn7larT/focZZHr9VqZiRy6/PdBYNXPl96a+t2f3+29rewBkc7m9uPkY1BCKQFDF5kKQvfUUjt7uKegtRs65uZjJIcHB8MNi8vm8lkWW8LquihGnxJUTmyTSmcRML477/i77+XUTiy54jYgM55KEVmYI0ysW7bEsJUn+qbhRgG60aFZwRaDIGoSA5l+qsC08zooXqeTDIwNX082oBxgkll2xUipLe8zXlynorXy0CC8v3GhppJ+ro8z1melWNAE8FX0s7b1zU1gBYhuFhRzLlH6wtzQZW8aNrt6p07Uw/udOrxuMpWNLOjVXqdjhSY+Dmg4IBLA1puCfX7VQh5904l/egQNBIcJRrZSRlLbg26zmTQfQRzInkplcpKSd0N6pD51WiISlNsgCKecu2+zifxL+Off+iwGpVqlU9rHz7I8rl6BIO9Je3rHSrikxOReurkenu5REin5UYhjNLdXQmVxeCFQgWvt9VoLGbq4hto8ETJqrFATf8JrOWw1s1N6c8/SQjxX+JhX2dluIpsu1EJvc/Xvrt7uvawLsqMaabTjF9Zc0h7UR8c2Kav2sSyvV0/PFzYGxYHGgvEX5QFJyd9qaZOhGm11UZ2C4bDYqjSBaYpm2/UnAgESOcclahmGDY0T67ebPZGNybJ14ud7dHP3QDawppuVPXWDmJa67Gtf8qVOh0CJkTBeAxFrrhJJqPIR29bWCZNP9yMYX/xxLM90cIn7CbVeJHdKbbV+4i7htEf/YsM+5F4Vjuf70gEt1q7LXocTx8u2XzVbfH90ZZvoouVipAFgYfSxz6XHziFfE4G0W6rx8TwfH3tqRvRBWsTFREIDFe5Hsup7J98Rl8vPC6l3LH+7UlA90d7/VXZSCd+KjAeHVk1kMcjyUggQh0d53dGvtC2nFsrlJCoVCQwqjRsd7c78Z83PkOvo6i5v0+ibFWlV43Ds7fl3SykA6Oq65OYkFt7vU3blsv+iCJ4rQ4jhdncrMdiimcmtsZ+lW1pt78JlFCByvr8flXe0zdbNDMZ0m6VppsmzyhuBkOVk87P+1b5/NWj528WLai0u1hEO4tfqwI0elnLOF6oZDIcbiO6xcG/Dd4YLPmGThvW8r85SLVVOuPxqLqoXpSBlLujGvw3ArG0dfl3bF99ewXapfYKtEvtf0CyaYOHN6czAAAAAElFTkSuQmCC" alt="souris_morte" width="240">
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sK5r8p3ehjikjY6jzSClIcryle55K6vlWtgGDCE4sjG6MGOUMWsBwX1jnNY3mc5GothERf3DNeUYn/IZryjE/wCQzXlGJ/yGa8oxP+QzTZ8RyoiSGcUVFTinnTw29XHuqmVXSm8Q3NRLorU9dNGrDawPMA4hYSjniPkM/Oyu/wARK1J3tAg17rSkc/Idwb/ImOCeSkeLrHaGXkdyCuiNXjXwI9XXR4MVnID7Tn23wsoZ3+C5gbSbBlVsskSaAgD+DFcOs8rmdOKzpxcex+DjVSOvgsXl9bZ1sW4rTwJokJHzHCZ+JS+L0U8DwIiuciIiqu3W3BIRg3d2PlP48qxaFldSsOVxYTIsYssYnrFsAqjfBVVM67nshV8d5z4NgkbEozjFe2RZepc5rG8znI1HWQeblCjzv/3A/wDbjNbWhV3MdzzuQAkTggmInRF/bZroi/ts10Rf22a6Iv7bNOjhe1WuExUWv6a8YpnhXrzAfGjoVoZ0c68rSIjvBm2Excugt9JAT7emn0Vg+FYx3BN4MfxyyyWwbErgK9cRxGFiVYscC9WT9ru8dqshjdCzhjMlrso1VV9Raq3Uvba9i3seo5ohZMbZnICOb15leFlLtBSV5GGsDmsSAAGMFgQCYIXr5EcMsDwSAjMG/wBnK+aV56aUsF0zavLIpHNZBHJZHw6/k2pasdaTvtVs7fS3ItgaPAHjO39JjPKUQu9TfUzIUWwivjTI4pALjZqqlOeSrmmhOnbQ5DCAU6SIBh0u119d1sewAaCKPU7LQxK19tZlOtXT11JESLWxBRheoIRgmK8jka3vMiX5ojOQba0SuRx3PO9rGsbysajU1JmxYbeaVJCBsvPcVhcereRHabudivH9SacTI+c4vK4dO9hJqPaV8vh3adFN4TRgSE4FE12u5nB+1kuRO+mD5pUZyIGSGQnERGu7bSor7qIsWxiCkhttloZVc+psiAW62uvqStkWBzQSx4O0GQzQCOsiAEdRszVRXMJaTTTXQoMStisjQo4o4Pt1h/1Tpvpsvp5Rmx72ob/vFJcRb6oj2UR3EXrLb+HnawL5Ep/UqqNRVVURHTnGco4Y+q4cBHPQsp6nJqztoFPEdKsZYowZGW3eQ8R45E7jCdjEiUn+4ZHdStBwjHQu51rmlfGrK+Hw7tBjB0qIqcFTihqmtk8evXxC6NhmOyPfqQJpuFVof2cmxh6bRW8f9pltw3TUzWP8PJIspEu86j/Eh0ctA7ix4rkHkFVNqX19tX2wetXzQSmaNBjnXmcNEf0JoPgnQrUsEGvLKC8CsIwreYb2ubrPfkS41U/w8H7jYf8AVOm+nk/+iMp7630aH1lt/DztYF8iU/j9miWDOZRx2qciQyyVR00nFGtaxqNa1GtmTYtfFfJmSBRwSs3sLpzgYpB5hRMYCstJ9xJLbWHq1RHNVrkRUl4hTyTd4CB8KUJ2Y0/7O0j20cO4seK5B5BVTal9fbV9sHrV80EpioipwVOKPrgq7nErgP4z4/tRklmbzwlwi4GvMMtT/DQfuNh/1Tpvp7KujW1dIgTBoSPiNjJhSj4rbEV071dt/DztYF8iU/hVUaiq5URHWCPcrIg3Hd3IsjzzDK5BjYJiNGxGtMYUcLzHKwQpueknlfExWCtgQeNOnymzsjmvtZTWo1qNaiI3Xs1LzKghmUL7BhDMyOdM81bjFvI0yLnM34dbV1zfw3mn+crNfhvM/wDOVmvw3mf+crNfhvM/85WafDzmBx5oNXZsfk0mF5rXHbaHqJl9BNXgK0jtcMjCsR43te3sVEc1WuRFSXiFPJN3gIHwpQnZjT/s7SPbADuLHiuQeQVU2pfBsIdnFbKgyRSAZ+xrsFt1c1FWsjmiVMMsVVeyPKHJYqsXg77fYf8AVOm+oy+jkWEUFlVqjLnHryPkNMGeBFYvqrb+HnawL5Ep/A6c8rlZDEpVSA4qo6YVSq1rWNRrGo1ur7NQwJa1dSBbO3dQTbszZOUT1mKIQwCaII2DH2TMojMlrAqwFtbCPhtveqhMnn9GNXVNfUx2gr4YYw/UTqWrs0Xv1dEk6PtrjjnqSGOVXFfhV9E89blZXtIXL6v9/QiniBmdMQ3QlFLAkCMI40IEjCM0qI5qtciKh8Z7rLdPx+W+pm5ZnFmHHZVJe1CDlYLkjMkokKKIQA5ENCvQonKI4ZioRASmoM327JoFrHv4GRVcRk7VFk9ZkI3d0KrJHr5EkUZqKV3DTbOG7zdZEVF4pxT2eGyY7D8qHbgavkn1Vt/DztYF8iU/Y5yNarnKiIriWTlaxVZEYxomIxjUa3U2dFrYhJc2QMEeXf3GXqoadS1dNVVEGmi93hBQbeydlESPL7hBEWysY+I3d/wJkc3ucOsqK+liJFrogowfXS4MSeFQzIoZApO29E8imr+91RyY3mFb54NvDtBJkZ6+WOJkVYWpIioqIqLxTcWs79i7ztbxJRY5b0VVFk0tm+PMxvLFtpZquyidwtzAHIGrCtRzUIavVGmVSxkVFRFReKfbb3Eq+8IyVxJDsmZJb4uRsbKwdaHGkgmR2SIxhmD6yQdsYDiu1FjO5+8yPSOYTTCcxyIuq4ivhMR3v+HcfzY2B39PVW38PO1gXyJT6IRghq97ka1GEsXI8iKyKiI1ERERE1kWYQqIjYYmPnWrKWddzGWOUGbIIiIiIiJwTVpkkOukNhiaSbYx8Wv8h4Pv5nk2FU0lbRREjVkMUYX0c2DFsohIk2OM8eXj9xiKqam6tpTV1pXX8Bz4xGmFq+p32IwyoRe7WmK5KzIYL0MPu9k5rXtVrkRWtc6tIg3qqxftzxsKNwyMa9knEptJIfPxCS2K6lzGLYS/JtiAlXb+rVO+WHBfg9hOMCS4ycVjoqKiKi8U8G5PmxJXL7PVW38PO1hBxx8AqCEdwaMBJr0NKbyj0QgwicUr2sHPyyxyMxIWLfow6eih0w3qBHEkatLiBTR+tOkNE2NCyTK+CtQlFU0eNVWOx1HXRkY/6e/wsFjKW0qjrW3ES/PEnNqsijJX2GrmvmRZw8gpURLOhvIeQ1IrCG5eR7GkYrHojmje6vKgCqqx/t91QVuQRO72MZpU6uR4b5joa+pKm6rr2EkutlDkC9TB+NMXtc1r2q1yIrYquiyVhuXiPwbmebCZDv6eIskAfiFY1UtYfHzkVEZNjP8AdOPRLGOx3IxVM/OcnlUNMhDQnIDbLI4tiyJSsrjuNq7vq7HoCy7E6DYcVrmZWmuWvg04gjjhYII2jGqoiKqrwTytY5BMJAxcY3tosIr6mQk+U8llafVWtRAu4L4VjGZIAN0vD7MdPalcat1M7zidu/Ia4biQoU2NYwgzIhWljlEww3DI1HNCV8IrYx3K4f3C2w0J5rrSlkvqbaHmJ62WytyyK2uktcjmo5qoqeOv9stfBYMcgmyGJ6bHtINr2rxb27nebALB/wDTtkyxxuDV4uIWzPx5U6Il5JsjzubIegoEhvujii13SUqeec7i+uO72vjkV8N4kVzoSaymJ+IcMsK93pydqqNlLii2cnlGa6zuHHekGjRltaV9CV0/yveSO/2up9hEq4b5c07Qhh1FpmytNOQ1bj8KFFrog4kMAwR/rLWrh3VaaBPChY8U0zF7MdDclUsdURU4KnFIct2B2qqvFcba5r2o5rkc0wWHE4ZE4tAZ8YqRZLuP3GZCi2EV8WZHGcC0d5iTlLjZVn1lDlNbfo8YHvBN8Vd7slfAqIqKipxSs80d4uPg3Obzbd2qJrqN6aPcqNa+yiMXh1kcvlAkviyGNU1FhMllcV6ueEUcIE4CG1naqoiKqqiJZZvjVUqtk28ZSEz+XM81LjVhJR8bLrEqkNYwaobMKryoxbKTNslh10KuGrIUQMdurXJIsArYkZqzrKkw00iYO4yh7JU76+5poV9Vlr54ucMCTOorRuPXb1I+RHDLjkjnG0gsbtDYtZixyzK59dqQBkkSjInmgFeSOrCrxL9xvsVrr5WGK18ec2/usTcgcmEs2uiTI0+KyTEOM4PBW/BKvhiejNmj0SXHF75mIvlIb/gCMbXVnl9yOMSbiR5S4HavNK5kFChDiDOZFcjBOmJwGzu8SSiehXxkRmmMaIaMaiI2xzDHqniky4iMcTcPvXmpKCyn6JPzey9sitpxPxEU5ea6tLK0WDTVtaidygxwL2SZUeGFxpJxhEmUPsyqDHauTakDht7b+lkF13YFNjVPQD5ayAIDvsOf1hLDFinjJ/rK6aOyrY00Pw7arjXFaWFKZxZgVqe0xcTZj1fO07/TWjXexn3JzWvarXIjmy8Pk1Up9jiUpsA9PmQJUxKu3jvqrftrP2z/AAmjDNbqwqKrRw4wvcCxF7NxURcAt0VeGkzXGwhCWwtAve/PpkvzU+MWMhGPzaW8j3z66s0/EmzvPcW9nZag0FTW8Fh10YTuxzmsarnORrZmWUMFVQ1pHVzMkmTvNUY5azEZWZxYpwVtXUDfgsCJMDJsznuJIRjEFjAsawf2NURUVFTimPCWntbbHH8UbrGy+StwLKvVeANTwqWI7k+JHMh47Cp7PudxSV19DWLZRWHHy5Hhvuda+pJW5uOgWtcOUhRpZIVP9MApkq1cojo5vK65yyjoeLZ9gJhTZhkFt6NFSd0C2NmIl6rMsa8rL3OIfxoFRYNbn0kDkWyxO1C4m6eMBE5xzSwlFuDZXQ1Jj+PqQBVzGe1XTb6JXCzeOSFYDa6yNaBwCYB1O+RK8nxnMIwrEeN7Xs1Lnw4DOeXKABrs1qSEUUBsuxMyVllh+xxnuzGYplU3z2GRx4bRba0bnI+yLPtHwKGpqkTuFbEjL2XC/rIie1E4IifZc4D5LvKfI2eYespItaaqv2ceKKjmo5FRU1D/AEJJ4i+z7kadGAvB5UV3eZZ/gRuRvcSm88mU96ZftddWV3Ksa50FwsSuLXGaI8LLYh4wQBvcmGSZNspNXX1mO1NR6UOENhPA8bCtVpGNe2ZiEJ8hZdWUtVNy+ZkcWlSus2RyR5EISgd0hoj2QgIxqOG1XYLJvSrKpKYUJVHhFzO89xlEhGQNvsZgP6nk1kowgiANBhGwbPFN/VsnMT2/ZcgqR3uPzqwnDhi1iSxoAPPxSVZwWWVXKhE93ArJ9lh8Lrce86nfolBKT7jIlijIiOVXPQEiZ6UlyiEGMCOn6Qmt8Ek781yIrzIraX1GQ1TbqilwV4c4HueJOdFR+sSs/I2aVktzuUPqFVGtVyrwSGiyLNDOTh9nKHyHuFMicOWLrESeT81vqpfMPVkznrzJoT+oFj/tz3tY1XPcjWrJPLVWxG8o48MUdVcnF5PDcA/DmcMlNTlr/U3LGjyi3axEa3VPRS8otmVkJOVGNVrGtVyuXx2slo4/RR3B1cBWCUz04P8As25EZWUUe6Ei94Y9pGNexUVtmTyZl+O23sHorOoF7NVr+evCv2005jHdMSKYzIbzuQk16PVERE4InBPFkFHGyGnNXSuLW0NjKUsimtkRtt47e4iUsNZEp66hbZnvmybe3knrZh9n5rePdshY5MOoomP0aQ47f1vHLmdJeiFEcaJFWUXqOVXC+z28BtpTTYD+HDEJbpmLQXE4oXLobpuLzWj4oamsG21LCsGcOGq30RmF9qc5rGq5yoiOsEe5WRROO7ukiR55R+DQgFHbyiG1qeMhRiTiR7WItmFy8AsKZcpqvLPd7Gqe0F7WZHHmyXQJQiQLPwPewTHPI9rGEyoUqQ6JQwj3ErHMSMKcl5kD2SbbsZ+hakZ/2+KTLdzqCPwUkaKkriic3dmtRrUa1ERPtFOPydlGR1PsaRjSjcNycW7aGc/CIsd68SajehYzGf0+0FlEIZQRGtc5tej3I+UVx3Na1jUa1ERPUxhNmHLJM1HJNM6LDc8SIinb6QepIHKS2xqstzMhWIVKMuHZDW+emyHvIyXN1VLy3eOS2MZkNjM/jcWtz6ZEzqb7lfVVzY23zZhGnyWyNaEixI0GO2PEAIAe2xRWiHIanpNVHNRyLxTI8wmDnmgV/ALcWymRNlJBsHte/skS3Fc4Md6NbGjJJajWtVkNERrUa1ERPtOSj8n7hVM1PMPW37uhMyWv7HehcNX+n2cpiTCKCM7lYEI44kGNvBvq6z9s7SojkVFRFQcSOF/OMLGusk5BDkJ7UVFTins8c9DvjOZFfymuaPcaTMf3Ge9gQY3ufMa4Pl1QtlUdpSsGK5kJJlYVUkfYtmvE9I55YI3BCvRFNIJJYqIj48ePG701vFijiIiInBPMn2rckLm40KzG1VIx7SMa9iorccd3Xcq2j+zsl+afCcnt+zEI+cVwAOVoRCYEaDG1Gt9Yx74BjMcErwssoj14dZGq+XHY3i440R5G2R2CEqrH8eeblWtNZnp6+D3Qm3FfLDjvlSyMU9ho6EhyHSmN5xZzlIsepIklnKXRZYRRUOjkcxozOkNYr1SS2tjo5HE5yu+2W8BtpTTYD+HDEJbpmLQXE4oV7u6bkUB/Y3Uv97CT1UmVHhR3yJRhhDbbu47AVWQ0PYENvcVV/QomNSJvcNXIk2kc1tHn+O372ijTUDI+nOV8sqxY7uDRCYETRjbwb654xkTg9jXIyHGY7i0A0X2ePJslbSjFEiC73bl2xj2sFprqYQ9yxjRsaxjUa3s3ZrrM1uBQQj+TcM6wcbhAm15EtYkd4uoQqo4326nH5OyjI6n2Nyd3dZVDYezslfyEJPU5Zl9fiVehpK9STkGU22TS1NYyXOZ4MN3Nn0RBw7R5JlbCmxrGGKXEM00f1JpQI6ohSI1VtYfsQvFfKYV91hna8oKvuw5S675IX3YJNd4nL7ITW660/wD4g113icn/ALFF13qYntgLrvklPbAJrv72/EhyGojls5Co15GAZWIJOAZUhiL3yIvFf9SKPKDJTiN/FfpclyQdCAQgiWVZ4zjZK4hbW1Mku70ZCuHwC5rX9Ow/5AdcLJvsdGfrcJsslBH6/TYMIBgZyCYjW/RPe0bHPe5GtvN2aCqI8MRCWJpO9F2R7kjQIAWC3iyVj+LxwCJU71RyOay2q3iSovKy9i94rJgpDPp8lH5P3CqZqeYeax3ycRnoJF6ldNHZVsWaFyOHJ/koKeot7SPS1MqxlLwDf3szI7g1jNdxJ24jiMrL5x48eQICZhgczEARTnlhkD1tjmT6K2bVzC/7b6lWNcvFWoqoiJ7E4eqieadNTtnD6SsmDb6bXI9iOavFva5zWJxc5Go+xiD9p2rryjz/AAYxya6tgT3I4ha6VgvtkBTXQnr/AO8Ymu7TV9s/XdJa+2e7XdJP9J5Nd3nJ7JyO1yWKewwHa42Se1kZ2utPT2xBu13uWnvQHaG5Xja5zFYuskyQGPxB/pukz8axw8M5bm6K2TeeHcb5djeuKVBIir7UXi1F8FpZxKatNPnFQUfMs9sMqkuExz41b4K2zm1E1kyvkkjnwTP4+Uh7nLRgLX6bOKeXa0wTV7UfPqbSLe1bZIU9HbyQ6IOyxsrlV88qhnRCcjn6CYcgaEE5HN8W9N09jYFKJ/Bvg2T/AJi01vZ/D1fbgF46/wAPhySv5pHqHPaxvM9yNR9jEH7TtXXlIa+4GQTXfTu9yCVddawd7Io2a5bJ3tfHZru0x3vTuGvJ7ne/MkrryYD+rzLryVF/q1668lQv7PHUITI9hKENvKzssCKOETh7wRoEDBpqe6ahBd1RVaqWL1X0gCb3Iz/jTTLptZEReZw1eqmgxf8AuCxfKkX+ivVPKsP+pHJpLWEv/nTSWUNf/O3ST4jl80gemmE/3Ssd6jI8ijY7BaUjHHlY3jskMsl7fPbIu/FuN8uxvXLI79cqFi8R+Dc/LSXd4+tjl/2/VVttkdzWAsIoQICwgSKuwPBls5JGqSknZBZsr68bXnvsCvccr+/TwhSPDlyIEwMuKVwj4hkYsox4Fg3g030ZSsCNSEcjWxzrIZ1EbwZrKaiXQWRMlpIzjiwekPWVRJ1g3/dT/wArF0aG5pFPEcgyhnsc9BHaoTeHc+S6RuBYoruLfBsn/MWmt7P4er7dkpblDcQlX0fUEEwzeUjEc1gRD9wbG9iqiJxVeCOsIjVVFOzS2sJP/Nx15Ujr7qFdryk1fdjSXa7+RfdhSNd7kr7sB+u8Tl9kFqaC4zbVFONrF7Hr3ye0bfhNBLSzUvU/R4ovHz6kSwxUTqv4aWPMLNUw5PKDyaN/xymNocSOL3AsRexURfaiaUbF9rG6dHC73gjXTq6I72x2a8lxk9zqM13BzfcmSU13aa33Z3HXCyb7HRnp15zPfhtejZ/pI0kWQxchyGJjtf3iQjimxzHpaznZDkDmluPFKlAhRSyZJWCBABJzm0DcThkDQ+subBtZVmkqqc2KxnMre9E9/tzO3WjxGxnMfyGVeK8V7MC+RKfWe/Pdx2bR/PYtbufIhezZ+6dCyclY9y9H6KdOjV0MkqWVow1ZpOVSe/Fa4VYiIiIiIiJ2l/lo+rG4rakXUsJ0eM02cRbRqho6WfdKKLn5GOII1XXjE3NiE6b7ysEXyfnf+dqteT87/wA7Va8n53/narWaRpsTMLEViYZpfg2T/mLTW9n8PV9uyIVU9yf+nqFXgnFdEsY7HcrXKV/UnH+GJgGpXNevNJKQ6tAJiIjRMRERE9icOxzkanFyoiEsYg14KZHK+xdw4jiv4Onlf70uMFHlG4jCJYkeSNMnSOdjGhcvRnv9+Uweo0dsYKDaqrrvQXSHRkJwLHqyhe5ySVapq1XfqFmkTQIjlC3ozyKN73Mk9FZkjXdCp/78uu7ET22JNJGMvuWD113aansn8ddKwT2SBO1wsk/rFdrnsU9oQO1156e2E12u9yk96A/SWQ2u5TjIBWEYRvMx7XJq/v4eO1qzJaucuPUEyRYfiPIeD7PxFKMAnlK9rBjabcOwQ5UePFmtaxiMY1Gt9ZlUt9zlUHHozvNYXlNj8drZ0+PFZV7l0lzetrYnURnlau/yEXXlau/yEXW8NpFNi8SPHlBK7swL5Ep9ZVtrkVvlFjPijjqD8o8q/sxdYBgF7juUMnzxgaDdz5EL2YtJdDyypO1eH0aoTcbPJ0dJjmUYAijAGAI2jF2WuWUNLxSfaRxk/F9taeagxmYZjqPKLayG23v2w212CY7XE6yQGypKNRrUa1ERNGAKQzlKxHJ0JUTzx39YYJwjP6buIy63kqli5LGsWp6GsQWN+MKlJbGPBkWMQrbH5sEMSKI0zGbyBKWNJqZjS7W4fNx6LJn2TelJ3rsBOfWVrXo4vZtFUrAxBZj28CeIthGE7l5+d/WnH+EBoWpXIReMo5DKMQwt5RsaxOx5hC+IRjdFtYzEVBuUpOpZyPPylajauQReJFHxHV8qcHSScGVsRq8VFzK0ImJwaNjex36Nu1f+3sNWxyGcZ3OjorYcsvTa06KSpiuGqcXtVaFP6SV15Ee1fM8bteSyt/8ABEdruRG+2vA7To3/AM1bmr1DA9hJgkHZmT/vjmRtmxE4lAUaDmxje4dir2KiORUciKj60Cu5x8wX3dy7GK502YdhhUcM8u3/ABDk7HjnMIwjeZj2uTwucjWq5yojTENuFYOigc8eMBCOOFgQjaMWnkYNvMR7Wo2fDcvBssCq17X+65Hept7SNS1UmwlkRgdsIp7Ithk81OJbvb3G717yng9CRU7Qw62+bIkSB2Fd+AsV/wAHF1+AsV/wcXW6uLVFPj0SXWV4Yz+zAvkSn1kW7E6kyGdWjrI5WfnZY/4iLrC9ypmUZCytNXgAzdz5EL2YuDvOV1Af6fQ5tbnrqRIkDz2e3kOFj65ORTMFFs94RpkMUVcBzqvy5ltv5qnHh14fwbZWfpZBks2S2qxajpOC19ZHC/XQWXPkkQrxr15cX44usMEkMhvEREd4DxhSWcpWI7XLLh+6qyQ5nSgy/GDxgKizSDeIjhka5j2uVrkc1VRcY3fhrEFGyBhRnHuDijx86XUZEyLd+siAeKjY6bJnz5VnONNmmcaRrFsePk19Hrwo5GRYwYUQMWONBh8QxDFx6bGt7Sz44ncvPzv6s6R8MTQM8nq/48o5NFDFA9Ax4zCyIkJsfi9yo83gLJAD4hWNXyihP28cptHDPkta9WiGsY7ZMdpU8yyzrGjPKjOdQWjyj5liFdpJBRTFIKOQbLAwpfJ6RGIGyiDCwbjqqpZQ1/8AO3QziMnEZGv8BACL8QTHadWRVXixrhuJU83uyFXQ4c6E/nAo3sFa9RFV0UumWcRy8FLyLb31fSVZbCWdvRoqWbcWbMlyIfKdURyKjkRUfWgV3OPmC/lng9145DY8lxnOa8BBP7Z8uRnViWnrSvFRRIkeDEFFiiaIGs8DbuyM0q2jT1ooVDjNgzrRxsk6XFaNf/p49Lh9Eq8e48FTFaxnw0kj0yhQKo6La20Z4ZmXQf2uSd4YHOMrifvKSBOQO6NczglnVWkBSbjYo2tLNHbhKjNxYzBtfOoL2Gwu52Md1e+LMJKk5sW6u7GFAsnJ5UpasNLSw60HnH4M/qfLOFWIGN5i9mBfIlPrPfnu47No/nsWt3PkQvZtJULYZgkx7eIvoaX/ANT5tMvnelAxrFYGT09ilmSUuvyjxX+zK0IaBCwSOc5OxVREVV9lYirFUq+3R4ITO5+CsJzzInxG95ECUGSnET0Ve00KPIXmKJrnbgbaLY81tRs/1RBvERwyMcx/goqCxyOwbCrgKR+IYnExKpSMFULJ9TIiNkuTqPJyCjiA3gIbWdqMajlcjUR2nkYNvM97Wo6zj8eUXOZ3Vnm+GBgU7iUv7iWRyCgxg+dgW8exf9FP5vYBU4pwXSIiJwROCdqjYvtY1dEr4pV4qJGu7pJF8CY9U7xNF8aKhEZZRnO5XPUbmua9OLVRU7ZMRXE68dyDPZXEOrpi2Nq1AipscPf2DcivAOi65J8f3HskMbYiRyMOx4Htcjmo5qoqeC4sZWV2ZccpDOFDrq6JU14YMILQx+z8e5NaHlJVxakALDGJ1xO75Llw4px4w/kRp7u0Kn4cKH9pdWItd1yWP8Kyhyk8o38f49KI6fimOH99CnQ9Rr2ql8OjYR3KioqcUXii44OZayJtogjNqZMDFsvqX18pBx8nv6+gEMr47ZNrtxRyJ+S2OS2butI8W4uKPxvICFCJUrtYnuZj1Vi1fAmPkskZRZAuMnsbCMj0BrAb6HjmUinz+p3fcDcCjyHGHV9e6Q84QkkGYEI3ELguMJi+OCjEanfPoM5tj1WMlbDX/X0VQCipIlZHT9PCv9PdZbA9nhnk6UEzv6xx9KMIfgPCCdedUVhOjPF7kgZU73JH8aE9UZZRXLyuJ03Ne16cWORyayTBaTJmufJj9GXa7N3cVVdXSo85htustAvB9KZdRtsMukuai1aBbTbLNa9pLqyR6VuPio43d6lRxw9aeL4kZhUSzC1eBmFCozDM3mG9r09UaSAHxStbrv7i/toxC66U43xDsC1lbHa7me1xXta1icGtRqeEwWSBOGROLehMB8GQhWpYdNeWUF4VY9pGo5jkc3xPGwjeD2NcjqwHHmErwu6U8PwzjMnfii/cRCM0GZHP8MrVW0tIdNXGnzjIKPUVczKLMWRXwXCj9jmte1WuajkYxrGI1iI1vbfXE26s34zj5eQtPTwqKsDXwBdMHZfZpT45MHEmkM6RkNpiVnIfY1brOrtYGZD5VHZAIMn4wpE96U9uky+hd7J7dJlVG72WI9AvqmS/kFYR1cioqcU86Saiul8e8QY5FPhta5F7q+RDczGpMAvNJiiuotLklJIOGvxPD47LvHcVSrkktbOR5Qu9vf0o1/D9njvKSFkFSaunD5hZbhdlictWnapofgiQ5M+UOLEAQ58B25Zjits7NWFs/obtvfNzMcim84NVP+l3TyEPs8M97SkDFaqK7xvGwicHsa5HVkZV5mNcN3dZYvgzFcnXnC+JFYRPKTW/EjyB6bZw3ebrIiskAJ7hhu8CoipwVOKEro5HczWqN/TnA+GVh2pYtYvLJEQCsIwreYb2uTwmLK6nIADVTucg37iW7gKDGCvFgm83q1RFRUVEVH17Ecr4z3Af3mTG/ch52BOI7OcT0cnqLctbBgGnWSjGCqpZ2VSxXll1I9f3iYH40ZCNFYRiry9Tkd7fDkd7Mk2CY1jzkWzoaKHj1YyFDaqp25Vj9vWZBMyOEJbKLAsYtlHQ8UqEb2Kxjvea1dLGju9oBro9RXSmcpoMd6Li8cC8a+ZMgqT8SVreZjwWgq/KLGxmLDDSN7zMi38qKSNLxGc4WNY5fNyinnuomVUHJMpfXyR09QBJ17i2PvoYJ+8ynS5/jMEUgLwnGworvaCksCPNXmLXEk7M5ANzuhMrzMDs9k5F4PdAFqq2UanB9vaquqTHKnHY3RrIYw/RT5jYUVSqnF0kZpWRRrl0ojTV9srw8JSKjgmZN3cUsNedvYQjBMV73I1vWkTfNH4iDHiijNVBt8/rHMY/3mtdp8CI/wBscevJcdPhqQeu4mb8OcZNdKwZ7sgJNdWwZ70YRNd+K34kI6a8qRk99SD0OVGkeiwrHafXR3O5xo4L1fLh+kRe8BEYZxoQbkc36Q0Ab39ULlCbvZoq8swfFrCMKxHscjm+GdOjVsIsyYZoY9fBk5vYBurcLw03YUAjJwINr08nIPzxjkCo0e0bUI5HP7MmyGSGUOho2tNd45j0bHa9QCc40jw5FgcaylOs6k3k21NSZrA49Srg2LTXZIHHyrUWcBIt5VzOCAngcvgsoFfNjr5QEJw4mZWOOyGx6W2fcgrMoy3L4hX0tbArA43jMXHYxFa98md9fkfHlj//AABiPKiL7NY3WtprGYbrOMXUiY0T+kNilOyE4r0LMchHesIRghuIR7WMt91carFcwBiTyn3vcvmj0SJqNvcvMiSqNOWl3Mxq5e0XenQzoqKiKi8U8BYcY3xAsXXcCC/bSiM0pbASKjgDNqFHWPH4O+J9KqcU4Lp8BGPUkV6gJ3mYPzFh8+vKYG+YrSiUcuOX3DjVdS5ceBELKlGYEEOJIz2eK0swvDj/AA4JwTx5PkZKxwayrEkq7xnHB0MUjylWVZepsMWobXis2ohmdI2vpxo59bOsavWOwMhva0s2ptYM1h0ySu4+UMYluYmQDcvBlbaucWeeYFwVxe9kCEl0gehW4jYBdh2NOxqpII8hZEz7BYw0mxVGiojxxjx5CtKF7eyRbV9UYD7CUyMOTuDjIwqobiK8lQ+NIgDlxjNkM9ZkOQ1+NVjp1gTlblOb22UyH9czgwvBiO4VpjBWAe90utp7mDfVop9eZCg+wEhxi++AarJiQ4UYkl8h8UMaDYZ5IbMlPezHUJPC1GrGCRvlFGfGjHHodhEJ7p2JprkcnFqoqduTZI2jAKPFCsu2xjG3VDTT7AyS7n1eezz1+Gz3RRkJI2mspdZkixngP3L7MqIqcF9haobn8WEViTK6uSsMCaBkgORbUWMUwpFQxTRoocyxeIGKKNBu6+JuBTPOkWySRUSxFGcTShIwg/UnOKNHIcz0YLMcqk5XdvlE4sjYjiMrL5x48eQICZhgczEARTnlhkD1ieE2eWlIsblBGyXbORjNKSyk20R6awTLjYrdtc9znV4yMKNhBuR7PrzGFGAQ5yNGIYz7hzkOdhA4uxjRsaxjUazseARfiCY7Tq9rHc8UjgO71Jj+aUDmaGQGQ3mERrkyTIgY9Ba9RukTMZx08Mxbm5I2Reet25+XZP2h72jYr3qiNAx006SioqC7JcKLPAoJkYMgRdv4UYjj0M+bSn75m1L+6gxL2NBz6ilHSLLKWsmMe0jEexyOb4t4Lp9fjIa8L+Umtk/5i01vZ/D1esJwmXls/mXmDXTJlNhGOI5zWxoeVZVOyu0WXLdyC7Npbx1piqwjP5jfXFKMInlK9rB8D7hzvOjw4qMYwiYITGsH4smsK2jr1nSWvQ+P0VqKd+IrwbZVmGcAzuTmVhPW7c/Lsn7Q/wD3CSo0/bInBOCezwzq2FZgUE6ICSJ+BCgvUuO206nJ5TzOl81hUx7iPXZ3QWBu7vlrBloqORFRUVO3eaS4mWRQcyqzWyf8xaazbEyZa6rjKXpRTvrcQxohBx1HByrKp2V2iy5buQXbsxLcLJ5kXj6H1r3tGxz3uRrCPPuHOUAleHFghFGAMABtGLxXd1CoKss+cTlFj9LNs7JMmyEfLM0eMKSzlIxF005YT0FKVXiRUVOKLxT1e3Py7J+zzDPe9sQC8ChCwAWiGnBvqbGorrcPSsIQJLFwV9a5SY1dzqtfJudO9uQVrdeRc1d7cujs1+Hcvd7+cu1uTWzazKGDn2T7A2tk/wCYtNXt7Bx2rJPsC8g8dyGvy2lSXGRFbuLgr8bmrPgsV1V27OB6mYlf/T6xzka1XOVEbINI3AnPhRHvFjMaMGJGHHjiYIPitLSHTVxp84yCj0lXMyS0Fkt8FRj7Xsa9ite1HNVpa5eLEcWKMrDDR43I5vqtufl2T6uVODDREIqq/wAsDanE0aSNGua9iOavFv1B5i9RQRWoQyVjVar3lf3hJRoi8sxvMxDhciKhWKiFGq8EI1V9ZvXVKo623Y3s2T/mLTW9n8PV6xbJpuK27JsVeYcOZVZfj3VGjJMHNsPkYlbKP0iQezZap6cKxt3t8/1aqiIqqvBJkqRns8lZXFcLHokSPAiCixQsCDxTZsauhGmTDNDHrIUnNLIN9bBcKo8RIxIxFPDRNR5LJI+ZnFF9Ttz8uyfVtXq28ojva9iEY5jvOlORXQek5eL/AKZz2sarnuRrVKaevKBVFHAAccaME1GppURUVFTii18RV/bs06tiOaqdFqaQpoCo2Qqljtc17Uc1UVvqsipAZDQyqw/BEnQpFbONCljUZ9tcprsXs5pbJSoPcvNajKIMCPWqZztYTmUnErTn9IsC83BwnIKk1dOWU8TuHMvKqq2qrJVzaR6+GNXnpKmPRU0Wtip+l9XYTpOcWBaaoM4VJBgxq2EKHDC0MfxSJAYsckiQRogxQGz+xHYTBvHjaIiIiInBPH+3tf8A8PU7c/Lsn1Z06Fzx/wC3RYInkUrHPEUcmXFkBEcjDC+jVUROKrwQ0+OJPiI9zYxZbkLM8zOsJpmg4oj9PMMb2teRrXdqoioqKnFFrmsVVjmKHQinBLaCQRCN9VuDgLcoAk6ByDtJcSRAlEiywvCfwVtZMt5w4UCO88jBMGBiUJxTKw1n9XZ2MvMbEtFSHUVZX18SqgBhQgtDH8RCMENxCPaxn624dh5+cWLMYwQ2jG1Gs9RYjc6L1Ge+MiFE0jfZ6jbn5dk+BU4pw1XOd0Xheqq/wyXpJt2MReLNLPYr3MEIxlbHlTijcVndw+ueRg04ve1qPsojF4dZHL397/gwzu08s/kc9RgC2OKXLA0pZT2JOggDDIRykI+LGYCz5BpwTTnK6Z37j6GrQLXhYZWc2mw3Maj4cl7G9SwH7wBFTyi1nxwGFprmvajmqit1acEjscnxU48E4+31WQYlTZMHlsYiKW22YsgK59VPBKYfbjLY/vUxHaBtpl0jhwqHMSo2WkvcwlxZDGykx2qx6N0KyGMKfV29pMymyLj1AdRRaysh09eGDBC0MfxKqIiqq8EknNuBYvgQyPHjQABixxx442iD6gpRhbzEe1qFsHlbyRQOdqGfuTEiylVioqKnFF4p49ufl2T4W/p3D2p7O05xRY5ZByNGEmSZfm/6+NnFRUTsbz3HROm1OTsun0GVAy2mCevY8MmNHZFjsCNODexVRqKqqiI6cpXKOGPqujgMNznmOpH+MhRibzEe1qLYKVeEQDza7rKP55MjlaytiMXj0UcrBsGnBjGtTVm1zoBeXQnNeJjme7Meh5AIrPSWF+pIlm1MN3eIQie00bpUii/7hP6gmP0qI5FRU4pAVRPNEVePYqI5FRURU7g8Sr3WS4LeSxZ7DAJoYZBpTCykGjftd1bzchsy43jxlGlRUwqOtFAgBQQPHZzZOa2RaKpM4VPChRq6EGHEC0MfxHlPIRY8Tg4iQ5AU4glvVylsHJ0ugxjxV4mO6hVcYnBOPHh53saRqte1HNWEQC80MvIiTJKeZ8EnN30//BNrvp/+CbXlMLfMZhQqOUAvwzMcvZtz8uyfCH9S1kv8G8cggtu5AGEcNlZEYEI3tE0Q5B2RwuK/2YSxYG62Yw1Rje0pWBGpCORrWBfYOQshFaBrWsajWtRrfD7PbotgAbuRqqUnGfI9iMjMHXAa7nJzGIicE4J7J1jBrI6yLCZHiBLuVhIX8rsoq1WsyKkul4VdvAmu0qI5qtVOKMBPjh6InBcyPGbFC7l4vJV8O4MXjxdL/WmRo39CMQg3MX2QSOGqwy+YjnIxiucvBK5qqF8hyen9vvLqbdWb8axwvIelpoVDWCgQRcgvHdWcvJbQuNURnCDV1kSnrgwIIUFH8CqiIqqvBGdawe4jSkDHdWxUTmM8j0bMgRW9MT2678V/wYZnaG6c8jVIwIx+OVLaFUGxvUMKrG7mJKa15PJzWfAOYWunYD9w4ipt9JMHH5CLFe9rbONx4PV4nMIwjeZjmuTsrfTYc39OwxhxxKQr0azKab8b4/MqzKseLjWfBjI2gzArKq/tc6xusas+dZgIOi2zhZUKbkeb1blt/wAq2Q/PTZdk1do9JuLTiUkbN4NgNLLc4LxnsMVqbVn5my4XmucGyWHqJu/g8knSfdJENX5FSWvDydcQJeiSgC+IZjV8phd5gsKZe8TifDiNYnd5xPiS2sTyYF3nM8plEEYW8o2NYnZYZbdZXbHpMF6QwzNuMdp4D7O3afIbkmPUYDJGZWQGinYNjctnUStHGLT5tkeEkRLE8i+x+usIltXAnwDsPF7FhGaYihk9IceIwD3E53kJqTFbI5HczmEWta9OBZMh6NajGo1qcE+3X95NsrJ2NY4ThNo6OFj9YyDCYqN8eQXU20snYxjxOWXS0sKgrBQII+UXaqoicV9i2QnKrQMIdzxTJiIwzWBCV7imSHFd02trI/HmIjyuYNg04MY1qPe0bFe9yNaCSSSXmGPhH8JCsCxXkejWrLPJ80QXBsaIyOirxV5e3bn5dk6c1rk4ORFR9cBXc4uYL+E8HsUclp5j5DUisEQRhjaIbRsTg3UtxpNg+L1nDC2vA16OdzvXVhSV+UmWJZQgSoVTg+L0UlJNZQwI0jRSsCJxCLwbHC6UVJUhOCFkhD8QrG68otf5o4Sm1LgltB9OZEhqKVtLhc9yul0cVXLs9URnc1Pd5BUqmJ5/X/xufNkj7/urXfHpcdt2/mLcwf5nb3II+gbxYW4iBmT5Fcevy7G7XgkC+rZDvanFNbi2k6QStw6lO4NnSUsDHaaNVVgEDEyOz6lmR7fSEeA8scbGvTnjiUIGDV3MpRhAAioJi624lExTNJmIEerq37rkN9MlWP4bx1yLZ0FDDx6tbDiIrl8eSX8t85uO4/yvt8foImO1jYkXme7wEarhuantizBRYvRPxGRvfZSc6PSMONHZGFyNVVXRCMCNXkcjWjG+wIhjtVsf2JwTTnI1qucqIjZck6q6MBrhdSw/44dc9i7zIIDNd2mE+JNVqDrgtejyK8zvDtz8uyfBETqzJJ3edeyaMoJzZYxPKwEwJ3qxrlR8knRilIntrQJHgBbw9LSqjUVVVER7D2b0eNyDj9xIT48wr0FBih87At4+M8cMkajOEZR2G3OG2fHvWNVqu/J/H4y8aefeUy7f1Jh7mZQWZZy7MlxYNq6s8pfO8jXKdkdzubRhy1no5ir05Fh0JKC6fFEcrpCka3m1m1amPAwixGv6/wB0yPIJTp7cdx9EJcY9j8XHa7u0dXFL48myI8Q4qWlY2ReY3joMeguG17pEzxWMfrxXK1nMWPLFJT0HcH6McUdnMV6NQTmzbBeuj+TRjDANSFcjW8hrFUUqKKM1qNajWoiJ6nbn5dk9pHtGNz3LwbWsc2Ij3Jwd22QS9YEoI1IsiS2eHu0dr3ERERERPZojlsSqEaqkZrUa1GtRET1mEKkfcTP4Tl9PKLJH2PTb6QlWYGS1jUc5FVETiq8EkIJjFM5jXOxesU1k1xE4j3XVDQcZgp7/ANzyTIpIpjKCiahrrHMdjY7BcIb3HlePJ8kdUoGBXhSXdYzjbaMBTyTLLtfUHhgkKjnt4P8AJgP/ALzaFAjhfzo1XPkRWSeVXOe13dZjPMOaqoKANr0IVzjF9Xtz8uye2xOpU7oFriP6k8jUYOMwCJWsVOJDGe/uDxeeNJIxVlSY37oCKwZWGYjxuRzUREVVRETsIR88jgBcrQDGwQ2jY1Gt9bmMp2E7hQMuUauriuc47Rmfxec7Y4lI/jwMi2UdrgryqBrh8vN+pqlrvJdWKO5eJXE/F+8AeinPWfcslyM8SQKlpRpJvMbxwGPw3p1HSZ3jybIx0MYYwiWVZ4xjhKtTWdmVJV39Vtz8uyex5yzHqGKvKOPHHGHyDbwTwSIyxlWTFRWuHJCUbXtI3gcrphVix3cGCEwI2jG3g312QUEDJqOTUWQupFltssIsx0WTkVYw0DJhsRCNMPlFDjuVjeDcZrVNYsUqfp5BnEm7mlxnBFZNtMUxiFiVCKshcz/uWTZISuKGpqgpKu8axsdDHKQpnSrLx3lo2ko5lk4alTFKIyPXIrgjZFx9UQjBMV5HI1u3pJb8fkd3YJGOiSjNVp5fBjiR4QERytGzqy5fwW93FHjMjNVGq5zvAtfEVVVQM4xHMgmLFIrWIioqcU86evsKyDbQ3xLGGCXHmbMxYxHGxa/sKRxsZziPlEWiJlNW6TD2olSgOFk2XWdiCppq2igMg1UIEON9xybJXVKhr64HfLrGcabRiNJlHWZbeoz35EuNVP8ADwfqpMpkZiK5Fc8cQh3oaYqKu3Py7J0YrACcV68GxQOK/vchqKTSyGtltA5qouilYEavI5Gt8pMf8EJiolnHReBUIJWPaRiPY5HNIEZk4EG16EGWuRSgXnjtcj2Ncns+gynKDk3HNcRH8dV08FpWxp8Z3EP3LEwjJl2Vy3sR0j1Oe/Ilxqp/h4P1UBnX4zSrzE1gMsUbG5PO70mKewmqwzeQOjHHHGpCuRrZZJRgtkoBo2Ncjmo5PZap/t5HJ7UVFRFT2KiKnBU4oi+TZHKvmisMInuEY7U8whxSMe70oiObEC16KjvoLWvhD3KoGpEAgxCGEaDENo2fcsQ+Yst9VnvyJcaqf4eD9S5OZqt9mgsnRRIFgxPYrJ514PewDNtwCbQSSciKSu9Jhir7xSNCJxHrwbFjqZWy5PpEKxCBexfZWv568Kr7bR3CC9iL6SJytRE9mnNa9vK5qOR9dEJ7QMTQIII71exnF30ORehuDh5P6fcbvcDHKIjwyJyFkSd7go5yRaMj20u6ZKmytJb6lhkqN28dsXtHL61eQJhSQsMArCi8L3tGxz3uRrbzdmgqiPDEQlia/wB1rS8rZVd3CGCND3cyKGEQkHBIOp3qjkc1ltVvElReVl7F7xWTBSGfT3mfY7QEeGVOQsmVvcFrnJEoyPbjW6ZcfhEiOqWSB0W7NA9nRmDkxHx5DL1jDgI11f2d1PGVViERWghr1EPJd1TfSWNpBqYqyrCUKMG03joojlZAjSZy3G6ZLO4qrAdSwKwt7Yr3Ik+mMJtFmdDkXBkCexT/AG2fPi1kEs2aZoY+ZbmWF6YkWrIWFW+DGMxtcVlI+GZXxsZyevymsSZBfwd22lnEpq00+cVBR8yz2wyqS4THPjVvgrbObUTWTK+SSOfBM/j5SHuctGAtfpJUkEKKWTJK0QM13Om3JnwqYpIld7fBQZNa41L69bJcxMPzSDlsJXC/Rm/TZxuFExcbocVGyLW1ubG7lrKspZZBe1rnMcjmqrXYVupIhkHX5ARx4oyMMJhRva8f2vcvMiX1s+sik4VoAukSBAZw502TsuCcbeJx/JOx/wAvF1+Sdj/l4uswwOZiAIpzywyB6xjI5eL3Qp8VVc2vnx7SvjzohEeDs3Py0l3ePrY5f9v1VbbZHc1gLCKECA/KPKv7MXX5R5V/Zi6tdtsjpqw9hKCBQahy5ECYGXFK4R8QyMWUY8Cwbwab6PdfMCT7F+PwycIeo8c0o7ARxPKat2iySaJpJHdYTTbLXbWKobGAR17i9xjhUZZw3ibqotpdJaAsIJVGfHbyNkdHGs43mb9JnGUtxTH3ymI10yTJNMlFkySuKbVPWFuriLWgexhL3aiwo6WVZusYxmdu0mXvQ34cmkVWfatw7t9Fhsw4X8kjVT/MQdZVYyKjF7GfFVqH/NzKv70XX5uZV/ei6yLMrjKBAFZFE4fZsxeONDmUZX8V1mdutHiNjOY/kMq8V4r2YF8iU+si3YnUmQzq0dZHKz87LH/ERdXu69hd0sqtdWxgs7Nn7p0LJyVj3L0fosotvIWMWFkioj3veUjiEcrn627wwGOU45kgSLaZZu73CcWDRRwnWv3luwyWrPiRJEdPJmW461zmNkQMgqCUN/NqyLzLrZu8dGuZFKR/6X0m6F2+2zKQBr+MfswL57p9Z78iXHghyzQJwJkd3KatnDs6yLOF8P7TvdKVGU0RHLy6qf5iDrKq6Rb4vYwIqNU/5R5V/Zi6/KPKv7MXV3STsfs319gNrD9m10t0XPoDUXg3W9B+TFYYEXgvZgXyJT6zLDcin5haSotTIKD8BZV/g5WrOnsaU7QWUMsYnZi0l0PLKk7V4fR7yyXCxGMBruHZikJlhllVFIiKPLZpK/EbaUJVaXso9wb/AB+sbXwTB7vd3UzILQljPcx0jWIS3QcwqJDV4fSEe0Qnkd5mnM+RIIci8xOzAvnun1nvyJceHbGSsnb+t5l4u+073BVJtOf+mqn+Yg6yK0fSY9OshjaR/wCdlj/iIuvzssf8RF1k+Qnye6JZSAjC/s22CptwKpqdm9IObGYB+3AvkSn1d7sQaS6l1pKyQR/52V3+IlazzMA5fYRTgiPjs7MXB3nK6gP9Pot6gq7Ha439NYMRos5pnPXgmeNV2C3CInFdVWSYKKohDdJrGOrm0NvESVABBkA3UigiZwZkcIws1jYVkZRUhT2/RzArIgyAp5lVOC9uBfPdPrPfkS48O1gVFt/Acv2rd+pWdibJzG8Saqf5iDrORvLhFuMbHPf5Jsf8fK15Jsf8fK0eFKjNRx4xhN7NmapZOQy7NyehrP6nyzhViBjeYvZgXyJT6z357uPDtJULYZgkx7eIvotyapbXB5zWpxJoByRpAjicrS1VhDy/FWH4I4GUYdaYvOIOQB74gxvKRoxsc9+2NfLrcKAGbHJHLu389l7Nq6lbPNo5nN4i+ky+p8iZZYwUbwH2YF890+s9+RLjwNarnI1qKq47WJTY7X13/d9pmRAT4ZokkaEBk1BIxq+kVx0crYR2xp8c7kVWpu5ivD4svX5uYr/ela/NzFf70rW4Of0eRYytfXqd59DG8xWCExzyYRjjcYxmPDc1O9dm4uKPxvICFCJUrtYnuZj1Vi1fAmPkskZRZAuMnsbCMj0B2hCSQZgQjcQuCYwmL44KMRqd8+iexpGOY9qObm+NExjIzxWsd3TWH5tPxGU7pNQ8Kv3SxWwCiHlviPFmWFxnOIGzrxuvt3aSDGe2o5p8qxsZVrYGnTTOLIRFVURE4rtviy45jrSSR8s/6TdzFXWFcy8iCV0jsxeyBT5PXWElHqDLNzMetcWsIEN8l8jt2txd11kLbCQJVg/a8xxGJltV3cioKVd0Njj1i6FYgURPAMbzFaITHPJt1t06ley4uGNWd23lJCyCpNXTh8wstwuyxOWrTtU0PwRIcmfKHFiAIc+A7csxxW2dmrC2f0mU4zDyqnfBk+gTIMcscasVh2IeVfA1rnvaxjVc7bzbYkE4rq8EiH+lVEcioqIqZ/toevMa2pAqSD4cTw2xyybyR29KJT1EOjqwV0EfID7Za09ddxFi2UQUkV1ssjiPLS2SNbJ2wy6O5USr6rQ7dZadeDKUyaqtmrqUqOspceCzG8GpMYa18SP1ZfhMEUgLwnGworvaCksCPNXmLXEk7M5ANzuhMrzMDs9k5F4PdAFqq2UanB9vaquqTHKnHY3RrIYw/T2VVAuIjotjFFJDdbLteR5aSxQbZO2GXR3KiVfVaHbrLTrwZSmTVVs3dylR1jKjQWY3gdHjKNJHj9eX9Rkm2dHfq4wmdwmWez+RRHKsJ0aewm3mWDfyupTqsPavLJRGtfAHGZQ7NwYpWnupizFixI8GMyNEAMAP/wCFv//EAFEQAAIAAwQECQkECAQFBAEFAAECAAMRBCExQRJRYXEQEyAiUoGRobEFFDAyQEJQYsEjcrLRFUNTc4KS4fAzY6LxJER0wtI0VJOjBiVFcICz/9oACAEBAA0/AP8A+fctI3sdSjEndGU20toj+UVJ7RGpZLHxaM9FWlt21I7obOadKX/OMOsCGFVZTUEawfYR+olAu/WBh10jJp08Sz2AN4xqFoIPbowfeRhNUb8D3QBVlU0Zd6m8dY9Egq0yYwVVG0mFNNOvFyzuJqT2RkdB2P4qd0ZgymHeGg3cbKbjE3kXEdVYbB5bVFdR1HZ7amLzGoN207IFwmTjxabwLyeukZUlMx72+kZji2U9ob6QbtOvGS+sgAjs64cVWZLYMrDYR8MnLWVKJuQdJtmzOHN7OcNgGQ2Dkk/aWV2u3qfdPcc4mDrU5qRkR6ZFLMzGgUDEkwCQ9pXmzJu7NV7zswgmpJz5CGqzJbFSOuDdKnAUWfsIybuPd6AHRSWvrTGyUQp+ysyNzEH1O092HJ95MUmDUwzESgOPs5OHzLrXw9rm1EizqaFzrOoDMxXmSwaJLGpRl/deSx+1s7msuYN2R2i+BzZsljzpTaj9Dn8KkpzEJ9dzcq9Zic2kzHwGoDADhnyxMEp1YlQRUA7aRImNLcbQaXbOG1EJaFOCanG7PZXZBz9KoDWxlN7E3hN2BO8auDTKBpk0LUjG6P34gZJaEr3kRjozUIqNY1jaOBTUMDQgxZiJVoGs5N1jvB5SipJNABEhillTILX1t5x7Blw1pxpoifzMQD1Rq84T84JoJlAyV1aQqO/glNWhwYZqdhET00qHFTgVO0Go6vaZCGY7agBDGkuXW6WgwUf3jXgkSg9UUEsSaZx+7WMtOzhv+4Qgq3EAiYBrKH6E8BOhaJQwmJmN4xG2JyCZLcYMpFQfhMtDaJqg3FjzVruAb+bhlnjrRq0FyO80HXDqzqlbyq0BIGzSHbFqHFTiBhMUXHrX8PIshNmmE4nRpon+Ur2H0lnktNI10FaROczHY5sTUng84meMLLV9N3IN+6Cec8ibVl26JF/aItEsTJM4CjJUXMpxB/2MWac0okYGhpXgt0tpTDLSA0lPcR/Fyra4s6kG/RN7f6QR18NkAmTh0yfVTroTuBhxSRZZVFAUZnorlh1YxW8LaCDTfow9ZU+zzlBKnNSMDiIumSCcdBrwOq8dXBTzmSDlgrDvU9vtNsml5gBxRMj/ABEH+Hh83X8UTJLM4lnE6UDFJ0tWB7q98Sl02lqarMXpLnddUHWMYtD6FolqLlmG8MNhoa7d/BYZg0K/s3qQOohu74SjIg2URQe+vD5QbSWovEpbl7TU7qR5NYWZlX3lwm9dSR/CInyhMs8zLTF6mur6EwhKspF4IxHDSVMA1HnA/T0k1paD+dSe4Hh84meMGUiAvNCmoF90E0LtPqB2CsWGQqNNe7SIGQ1k5RaZzTAvRBNw7OBLZKPVpivKCzXI36IHgeG0WpiTsUAAePbFn0JKDUAor3lj18FpCnRRwCrLW+/YT2CJUjim02BLc4nLfwTdOWw1go31p7TKsaCm0sx8COHzdfxR5u34uBpjIdoKEQstXGwh1P04J1kao2hlIPj8JLo/8yKfrwTpgDsPdQXseoAxLlcXIBHNSgovULoYksTLapMWcFFmICKp7ov1C7qEeUAZooLhMHrjwP8AFwgSUG31yfAeklPKf/WB9eHziZ4wqK+mjgC/fBPrKVanVUROXTkT0uaWcKjURgQdVDFnfR0hgwxB6wQevge2yQd2mK8pkmp2FT/3cItEwHtEcefAclDMc9Utj409pm2NG/1MPpw+br+KPN2/FwWcPOmGmACkDvIhpaoNpLqPrwSrG5rtLIPz+E2mUZTkdNMK7wR/LwTTxFnJHug849ZoP4TCStO0F00r2wGy6/8AiEfuBE2aJc0rKClQbga7CQeqLN/xEigvJUXjrFRvpw25zPNRfo4L3Cv8XpLRJZFJyanNPUaGFNCCLweDziZ4x5vL8IJoABUkwS8wy2xQMxIBGRpltiWElsR0gor2YdXBYpbTjUXaXqqO01/h5VhmibdjoHmt4g9XDLmi0IDiVYBT2FR/NFoVVtBUV4t1FATqBAF+sHWOC0BVs6T5YLBBWrUOFbuzbFlkLLmmUgFXJJOGoEDt4JKCRKJHvNe1NwA/m9pkuZEwjotetdxB/m4fN1/FEuSyuZYwOlBN8ye6oq7canqBicAZ8+lBd7q6lHf3CS+nPnKaq7i4KDmBU9e7gtUwSpZI9xMSN7Ej+H4SRpyHPuTBgfodhMSmKOjC9SIs8lUumLQkC89ZqeuLRNMwitdEHAbgKDq4ZUtUmTVmCjkCmlfrxibNZ5comugpNQIlEPapguATVXWcB1nKEAVVUUAAwA9LbjVyBck7MdeO+vAs9yUmVBoaUOEYaToGPaRA96VK53cKwwoLVNTRVNqqbyd4HXDsWZmNSScSYJoAM4tRE20A4r0V6h3k8qapR0bBlIoRBJezzDg8ut3WMDt4JRwN6uM1IzBgijJMQuhOxlBu3gQL9JZfO7hWHBHnUxCqJtUG8neAN8OxZnY1LE4kmJzaKKP7uG2JS1mOB67n1m7e6npBmTSN/JO3l2iWUOsaiNoND1RKalcmGTDYeCfKCURgCpBrnH7xY1zZ4AHYDWGuNns40FI2nE9Zps4HNZj0ulpmx3fkIkIEQbB9fhUtaX3LOAwDajqPUdks0aW4oRyVP2tpccxNg1nYO6BznmN60xs2Pppy6LL9RqIxBiY1JNpUXH5W1N45ck3ADOF51nsrC9DkzbdQy34ctTpSZ6irS2+oOYz7DB/w5y3pMGsH6Y8l8lFwGsnADaYnLSZOAuQdFdm3P0QzJpGqWte+P5m/KNcxruyPuiPuiPuiPuiPuiDloiOjXSXsMdOSb+yOi1x5MkHiZ9P9La18O0FTdXBhrU5jk+/Na5JY1sf7MTKGfaGFC51DUBkPhgHNfB0+6wvEZS7Wlf8AUv8A4xaJTTUMuadHRXGpIEHGjszDq0ad8LfoMNCWT90XntpCCioihVUagB7A4o0uYoZWG0GDfxExS8uuw1qvfA9+TPSh6mIPdEpBMeS7KhCnO8gEbRGYLca/UFu74H/MzwCQflGC+O30T+tLmKGB7YN4lzBxiDYMCO0xLUudGYwNAK4FfrE9dNONmNWm4KYxMqzroLu0jUkdQgYhBex1k4k7T6EZkx+2mDwEa5hu7IGQFODXNmBR3wP2LGb+CsHB5llmBT/pg/tJnF/ipBw4ucreB5Osi/tjoTecP6R05fOX+kagb+zhPuuLxtBxB2iMRKtC6a7tIUI7DEhdNzKmNWm4qImKHGlMYmhFcAv1gXmXLHFIdhxJ6iIT1ZctQoHw/wDR8/xHs3k2rywP18v3pZ11Fabd8TlqVOKNmp2g+l83mfhMebjxPoRiTAxc3IOvOMq+qu4cA96Y1K7AMSdgg/8A7jbU5zDXLl57zdug4oLTxaH+EQcWnOzk9pgfs5Sr4DgPTkq3iI/y6p+EiMvN7Y607SYy491neIjIWiwqvesD9k8yWx7bowM0rx0n+dfyjMypgam+mHXwdJbjHQmi/tjWRVe0RrBrwebnxEeby/wj4j+j5/iPZ/K80C0D3bNaDg+xWz/oB6XzeZ+Ex5uPE+g1JgN5jESkuUb9cDAAQgq0yYwUDrMVofKVsUpKH3Fxb+7o/bWn1U+4mCj0huIOcC8T7G5lODruu7oH6m3pozKbHXE7TGBmleOk/wA6/lGZlTA1N9MOuDkY6Us07o1jmt+UebnmOKHER5vL/CPiP6Pn+I9nnoUdfqNoxEWFQ1mnN/zNn91htGB/39J5vM/CY83HieSMSYzIuUdcfspdy/1gZAQgqzuwVVGsk4QDotbJtUs0s78W3Dvhb1luNGRK2KmHbjAFABlwg00JCtMNdXNBEHB5soSUP8TQf/c2gzWH8l0f9KY/6Ux/0pj/AKUwMPN5xkud+ndAxmLJ42WP4ljozTxZr/FSDgymoPCbiDnAvE+xuZTg67ru6B+pt6aMymx1xO0xgZpXjpP86/lDYPKYMP8AeBIJBIwvEGQhaSx+UYQPWU3FTt+Ifo+f4j2jyc3G2V+n0pZ1hhd/ZhubNlH1pUwesp2g/T0fm8z8JjzceJ5ANDMNyDrzjoC5R1ZwMABTgOMmWeZJ2zGwG7HdAOklik1Szyzuxbee+FFFRBQAbAOH9hZRUL95sFHhBv8A0bYWKqdjvidw6jCigEtAK7ziev0JzmyVY9pEH37HaWQ9hJHdAwlW+zrMrvcX90DGd5NnVP8AI3OMZybbKMphvJu74ODIwIPWOA3EHODe3FCsmbsdMItUopLtVnmVlTKEVIBvG6ucWbRs+k7A6bBRWlN47YGDjPfrjI+6+4/D7JJeTOsmnouytfVDgTsiXdOss4aE2UdTL9cPYCaAAVJjaCOX5WmrJt0ofqpx9WaBtwP+3o/N5n4THm48TwC8kwMWwMzdsgXADglirTJjUAg3NbWFJ08f5Y90bcfCDezG9nOtjmeE3CzWQaRH3jgo16oN/wCjrC15GqZMz3C7dA91BjtJxJ2n059ydLDjsMG/TsM8p/pNRSB+rtsoynpqDLidpiaaS5zOJklzq0xcDvgxZHE0a9HBu416oaWr2iy2jnyJrEVoR7pyqNUSFDtIL6SzV6aHMbMo8IJoJmab4OBHw6VfKt1mOhNU7T7w2HuiujL8r2VKps41B6p2i7xiYKpMlsGVhsI9KBcNZ1QwuGSDUIYEVphCVRt45S2+zk7tMej83mfhMebjxMDEmBeqZvtOyBgBwTB9lYpF7Hax90bTCnSk2CX/AIEjq95tp74HA9yWOzLpzCduob4N/mFiesxhqeZ9B3RnoC9tpOJO/wBkmCjS5gqDAvawuazpA/yz7w2f7wwKTZTDnLXFWXLgsjcZZbQMj0TrU4GLK3F2uzHFH1j5TkYIoQc4Y81j7h1HZ8PYUZWFQRqIhjpTfJs6ps83d0Du7hC+tZLRdp7UbBhu9JZzh0n/AKcM0/aDoNr3Qc+StrkE7uMHo/N5n4TAs467zAvlyfqeBAWZmNAoGZMKdCd5WmLdtEpczt/oYmms60zTpTJp1luA+quLOdQGJhv1jj/ipo2D3Btx3w3+JOfnTJh1sxvPh7QP18sc2bsmLgw2474N0t6/Y2jajfQ/04LOtJkr3bVKzRtuo/0o9zo3rS3GKsMiIYUIMMaS5h93YfiAvR8HlnWrC8GF/WqK2qzrtHvga8d0HHRN6nUwxB3+i448JFCDBGlKJ1ZjkrPkE/8AyLy9RN/ZGRKmhj7wEdGWNKLVpSNJWBZSVNK77+yLJZy0y0O4KKAbqDeRwYIgveY3RUZmAdKV5NVqPN1GaR+H+ygoqKKADUBAxMSzoz/KU4fYyjqXpt3dUG82y03lT8i4KO/b7W3usLwdYOIO0RPbR8n25zeP8qYdeo/2Im0/SVkT3l/aqOkM9faYnKHR1wIhsQYa6VMPgfiOJnSRzJuyYmDDb4wx0ZVsQ1s0/c3unYe6CKgjP0HnDfTkSG0xtGYhhUchHksf/lTkN6qLeTGonTbsH1g62Eodka6F274/dinZHzSQPCKevImkU6jCSuPkNm5S8U2mhHXFvPGlnNNGUPV+p6xEy5JUhw0uX8zsLgBqx3QfVYj7OQOjLXLfj38CYs2ewazsg3rIroz7WPm6KnVn2GJYoktBQD22atGU4jUQciNcTTTyfb2/Wj9m5ycd8GLbM54x8ymnMfIe7xIqCDUEQYP+FMPvDUdvxGYKNLmLUGAat5KtL85B/lOcNx7zEq6dY7QuhNlnOqnHeOWZ7nkGJUxkG7kUlH/7Ugit5pGpOd4QPWmTBQLGGkTfMOvdGwcIxJgXcXJbjWrqotadcHCbaiLOm8VqSILaQSxyjMYdbYHdCABRaZ5KLTAKooANkHESkC130x4Jh0ZVjs50nJ29EbTC86RZFvkWbcPebae+gPwCYMR6yHJlOREMD5jbThaUGR1OP7yJmKVdGFxBieaeTbU59U/sWPh/YEHA5g64lMUfbTP4lKvk22ztoTZZyvGI2GK0TytZpfqj/NQYbx3xMFVmS2DA9fJM5vHk6YbtEaq3xrVLu+Ncxq+EBEOgqUHrrGgCWmMTlHyijTPyEMKuR7q/1hRQCBiivpuP4Vqe6MpsxRIlH+Jvyg/spZnzRv0ub2RiUnzysvqVaUge8ksBjvOJ4VxeYwUDrMA0M1RxchTtdoONj8m8wU1NMN52iCKNMAq7b2N57fgXk91tlnIx0kvI61r3RPlhwNVRh1YQ4uOaNkw2iLHMeyWksakuhpftpo8FoWh+8MPiZFCCKgiGOlNsMyps0/8Ah9w7R3QLvN555s3bLfBh/d/I4xvHktKDUBpUg0jXSp4eLX8awEUS7NJrNINMwoN++MplqK2dDtFa1ETTUmRJM6YBq513ZBxlzbQVl9SrSkDBxLBb+Y38IxJNAIHuy24w9i1g4THl8TLP8TQcSzGfNXdTmmFGmzWw1S4ioCYAbDWAKKqigA2D4IcQYsc7jrLXORM5wA3G47TweVJC2uUMuMXmuBtIv6uBOem8Qwr8UxUm5kOtTiDuhfdN9rs67P2gHbuEWyYUmMLjZwBi64i8gbqnKDgwFFPWYE5qrWtMIykodOYf4RUwcLX5TOjdrEsX/SGvaXMsKGXXUMwIH7Ca0lzv0roFxazBbQB1il0D9TMsrhz3U74JoLRa7QqAb1FT3xSrJYZFaD773iJsvSWdaLQZjIwxFxpqyzgvoSxLRJbFQLyczU17IODKag8GubMC+MD9XYrO0w/QQcJvlC0BKb0HOg4yrBZq9jveIF9bZamIruWkD3pcpQ3bSp4eK8WED4KH8xtZ/wAt71J2BvEcHk21KZpH7F+a47xBvBGfADxkvcf6/E+it5jpzjTujoJzVia1UkBijAAUzFCdZrFhl6Um1GjqyDBNJSRpYAa8MotLmZLsNlokzQOGm+N4y8IzmtznP8Rv5JxDCog/rbKaK33kwI7InzlQ26QdHSGOiy5E0xF10C8UzgC864RuPEy1uwEtWoDQC83+MHGT5PliSBs07yeyMTNtbGcSf4ru6BgqKAB1Dl1ly/r8GtEoqpPutip6iAYk1kWhTiJiXGu3A9cT5TJXVUXHqiyg2WeDiHl82/bSh6+BG0W2qfiJ9VFvJjKUhvO8xrAv7eR5KtDSpdnbGfPXFnGoZA6949DMSssnJxep7RA5rg4gjHgnP5rO+69wrsDUPV6ECpMENNpswHwfyxL87k6hOW6YBtPrcFqVPKEld/NmHtpwBa9l8MoPw4YkmMDOceAzg+tMa8nleW+Y+pLSouP8Q7TX0XnJNBrN54AQ8+eRdJWuO/UIAA0jidvoJmNMQuZiZS7oqMB8H8lWlJ4IxKEhXXcQRXdDCoIzENOawzjrEwc2uwG/gZSIC07LvhpwRMt5ygXiUvqr+cDlvekxfWluPVYbQYsPNmHKcnuzF1g3V9AToy5airzGyVRmYtk0zFs0khhLWlwao9aNU2y0p1hoDnziafWmPrP0GXoCK34INZgNVnYXzT/4/wB7vg9pkPKqcqgisSk4mYDiGQ6N/ZEpOPlkYhkOld2U64tMhJlBkSKkdR4Jc5gN3woYkmNYuUdcfs5Vw6znGzP0HzGkfIt0WE1lLN5nGrnLbYctWysJ69ktAo29T7w3clRUsxoAIFx83FJSfemG4CCPspa3yrIupNus/wC54J66Y+8MeWBV3PqyxrMVqzn1px/KBcAPhK2oWuUPlmippsBFIYFSNhiyzZtnfermncRwHRcdl/wlfXdvVX8zGo3KOqBgAPRBiktSKgAQKAXXDbExgpTRFb8wRhBQtImaVJkph0WxG7CBhZ/Kiaf/ANi390D/AJiwkT5e8gXqN8HBp0sSEO4tB/8Acz2msP5LoBqLOv2VnU/dGO8wnqy5SBVHUORJcN1ZwRURKOi01hzic6VuAhweKm6OiSwxU0u4V/xZxwQbNsA1v9aadZ2QLgB8K8oWWZZHOWkh01rtNacEryiZ4GoTFBHhwTJJHWD8IF0ycMtg2wO/0nGN4wcQY1gRJcN1YGD6DEX0hhQhrSoUjdEo6B/4srSn3RWHGk1qMx5izDeKFmFagUx2RJQlJjLQO7XVFcRSDgAKkwBV5rihI1CFvSXm+0/DPJlrlWoUxIDaJHY3dDCoIzEWywSrRv0G0PrwaTDtHwdbpkwZ7BAwA9KzaaMi1pXEGNTinjH3hCHSmNQgMch6BP8AmZ4DFgcGQYU2mu4GPKRE55k1izCX7g3UJP8AFwPTjVGIpmItFqlrokVrLB0nu3Cn8UMAUC+9XCkTefNcfq0yAgZzGJ+G2mQ8qpyqCKxKTiZgOIZDo39kWqTPszHcukO/g028PRIKtMmMFUDaTAzlLoJ/M30Bj57ST4KIzaTP0j2EDxhsJFpGgx2DIncT7QP8WYMtg2wuA9P8wrGvR9Bazo2SyLix6TalGZ2byJs9Z1otSk0IrfKUZLS4baHC6FFABgBwyQER/cM1zeB2KOqJCmUyucApoprWgupEw1YjAagPh62oWuUPlmippsBFIs/lSTpnUjVDfTgq/h6GYDxFnU85z9BtgGsuQt0uXuH1N/JuWrGsySPlOY2HqpE1dJJim4j0RvAMbFP5RslmNqUjawEbZoj95GycI2TQY2MI1haxKF9DoksYxoGujO6jj84GKm4jq9mtR0LJZE9aY2s6lGZi1j7aflLXKWmpR38FcWFRH3I2giPPpA0UvJ5+NY2exqKlmNABC3VkkCXX75x6gYOGmHdh16QHdHRaSw8Gg4zbM+kP5TQ95gesFPOXYym8dftHlCyzLI5y0kOmtdprSJSrOUjEaDBiewGLRKWYpGoisfaeHoLPLLkZnUBtJoOuJhoqDCWuSjYP68iRL02eYCcTQAARPYoOLBBUgVz4LW9BpG6TMODbAcD1HL0W0ej0lPaOGWefT3lzgioPI1k0j5b/AAjXo0HbH+Y9fCNiRslCNkkRslgRtQRtlCNqkRsLCNkykbJgMEXqcRwWhuLslkl+vOf6DWYtI57j1ZCZS01Aa8+V+kLP+P0xN0HkSV0mY9wGsnCkKfs7OrettfWdmA7+SmDoe46xsMS1qyC5ZoHvL9R/Y9msFoS1yUP6wrWqdYPhDgpNlPije8rDXHkyfWSTnImc5ey/tEKHqFxpSDy3BtE5RmK0Tv0uwcnzdfxR5w34eGVWROJxLLnvI0T1+h1k0j5b/CPllx8xCx80yvhHygnxjUssCNj0jbMMbXMbWP5xooQK8LDQUbTdCqBGdAMdsZUBYxqSiRrdiY1LSvdGsIY2ofyj7p/KNxjaaRsYH0E5uLs1ll3vOfIAasKn+gi0LSgvSyp+zT6n+pPK/SFn/H6aVj1Y993JsTlQFN0yYLmY66XgdevgnDSTTnAEitK0iQ5R1BrQjbwOC3OYKAAKkkxphC0uaGoThdElg6OuIIgfZ2iWPcmDHqNxGw+yDEmD6tc+Cdd5QsUv39U1R0hn26zHlJ/OLUSL06KblGWsmNF/CM19198dF8DuPKlcXLXYAi1HaTyfN1/FHnDfh4VaXNUbTpA+C+hrWhj5VA4RqNY2KfyjYhjZLjatI2uBG2aImyyAFNa04bOdJjrbIQctLKmFIENgKVMOKgg1upqjUz3d0a6X8jdG1RGwU8I+VzG1qxqaWI2ggxrSYPrBNKlKjtiY3F2ezy73nOcFUfWJy0lyxeljl9BNus/1J5UpSzu5oFAziyvp2CyNcbQwwmuNWof1r6QDRQa2OH59UWg1Fejl23ns5CytCURiHbmgjcTXq4fNx4mPOD4Dg83meEecS/Hgt0s0GQmKCQezSHZ7HLFSx8BtiW1JSHGYf7xPVrgYAcjQaMRxswKTuGJ6owExJXFSa7ZjYdke5ZmrOYbC2HZHQmWMiu6+P+kP5x/0h/OP+kP5xpq0yZLXRViyg3DK4jk+br+KPOG/DwqkpN9S5+noujLGkY6Uw1PZGpjRewQNSjh1kxqTneEdKaQg74+QFz+UJXRPE1pWENCzAr3RqlpXxjEscSdcUwpBFKoLzfiawoI0jQUBxgXDRpSAwUvojRBOAjqjqjcDG2UI2pSNukI2MRGyaBGxwY+dbj1xrBrwE6EmSgq85zgqjXExaWez4pYpZ90fNrPLRSzOxoFAxJMWWZWXLNQbe4PrH5Acs/BRQACgA9KhDTiMiRU9i39cIoCy2fnUGpReeoQUZjaZ1JaXaqmvbSP3y/nH75fzh7YrMJcwNcEbGm0jh83HiYnzS6FpwBpTVH78QJToSk0MakXXR5xL8eBbXKruLAHuJ9j8klEMtCftmqQSMhUhhXUBEtQqIooFAwHCMZStpv8AyrU90HC024izy94BvYboMssZPkpNAqK4cY3Ogmpn2tjOcnXzrgdwgXADLg25R+zmG8bjGaOKH+vBbJNGPzpcf9JXga1IrK4BW80Fa5VIibLIlTOKUaL4g1AuvgGlBJLA7iLj1Ra1VVkHGWgv5201wyp2Lpz3Xog0C9tG4bdNMwfcXmr3hj18voyxpGOlNNT2R0a6K9gjYKcPzNSMlUG+DkAEp1m+NbsXP5RqlgIO6NbkmNigcE+WR1j+nCbzotFNIFnxEH3tMnxjan9Y+YEfWPvP+cbJh+sa0nXx/mJpr2xsYoe+Olo6S9ojUTQ8JyMdKWaQCFRKUmTGOCqBiYIpY7K6ni7Ih1a3OZ/sawa8oCpJwEWaZSdNU0NucH1VPQGZz8JahURRQKBgAODWxpGyYI2GvoZCFjU00jkBtJuEWqYySid9WI2VoBuMOamdZm0GJ1kYE7xGgwMifLowJwNRce6Nx/ONx/ODahLdpYN4Ksf+3h83HiYs8zQDs7AmP3jQ0tn00ck3b484l+PA9slA7tMV7vYvKMwWSyKDeGa4tsCipruiy2pLK85yFH2SUZjvLE9cS5tJ80rV5y4c0HAZ33mmUHC0eVZlD/8AGt4MHGzWOlnlbjS9h2QMJmjpP/Manv4JeiiMp7Y/aSxf1iMxmOrkZHMQMj64/OJP2tnDXMHHu9YqOzVCkqysKEEYgwDUEZQgCm1S10lfaQLwdwPVGohgewisEUE11Kyk230Ld2+JraTu2JP5bOBjpTpgH+HLGJ+g2kRJQIiDAKBQDlnGgpXh6CDSMdKZe3ZGYDaI7IbJrwu01hvWancNQ5Oom/sjXTRXtMSzpIASWrqrhBxGo5iFyitKyxUQWHM4mlVzqYWtVeWab7oVQKshv7o2gxsNeRtUGNaMRH+YgY9sDFATf1GFNG0BpU3xqcEQlwCEFnY4KozJgD/gbAb1siHM63Pd2AHIx0pZpGpua35QovDC7qPIs7aNvtqGhnn9lLOrWfpjKUKiIKBQOCWgSzvYZhKIMWaYFvBrnuxjNjPdiN4rdG9vzgYETXH1j5LQ4+sDBpVsYEQMJdss6vXewvgYmyWgyj2PWM3aRxksfxL+US1qJS1E1zkFQ0JMEVEx7GWSn3gYropZJchxNmObgoBAi2uos/kyU1ZdjRjQFznMOvIVOqlmlBNKlNI5nrNT18mWnHy6Y6SX3bxUdfD5uPEx5wfAcHm8zwjziX48FhlmaTS7TPNUd5P8PsXkvSsVg1NM/WzB+EHMboHle0tMky5xVeM0heQMTSmMfvzCKFBY1JprPCImuznt4MnQ0MD3lFHHVnAxGBHVyNeB7oArOs5P+LtU9LZnvxUkMrChBGRHJN7sblljWxyETKNaJ9KF21bAMh+fogL0VqA742DhOJpeeDWxpGqWtY1zGqewR0U5ojWbz38NoND8r/15W0RrTmnujozRpd8dKS30MdGYNGNYPIGeTbDEq5lYAlmyCjMnKBfYLAt3m65O2tzjs7Kan5rdsanF3bBwIPJlHR8p29PdGcpDmxzOUSV0URfE6zt4ZU95VbQzu4oaXgUEVqTYbJxdTtIIv2wMhP0QYyV5gmKOox/nyCn4Yzaz2gDuN8ZtNkEr2isHBS4U9hvg5x6siUq0VV1trb+91pnGzWqzLPLCj3K2jW6jUMTapYrMiaU2a+ApmBrMSZjSVmHBpx/xCNijmCl2NOXa2MyQwFynEpsocNlOCzy9BwsqorU4GsT5xZNMUNOAS3QmWukQSLroacjc+VogAViYwVEUVLE4ACJ32tpYX84+7XUBd2nP2G2utjsoGPGOaVG0Cp6os8sLXpNiW6zU9cJ5UNop+9UH6cnRoOu6FUDkDB0NCI1TFp3iNco6XdGpxoxrBrwEXWmTzX68m6+6MlJ4p+w3d8fI6P4EwfemzkAHVWvdAxk2UUr/ABn8oxKcWDpHWTiTtjXLancY+dDGw19HqJv7I6R5q9pjoyxU9pjpTDpRqApyjHQnC/tjpYr2iDmDXl6mFY1y2pGqYtD2iOknOEasD2RKWrMc9QAzJ1RKOl5O8nPhLGUxxm5y1cJyIrAwA5AH/wCoW9bxZUPug9M93aRLHWxzYnMnhmJxglyJRcha0qaYX1g3mdKsTaE0/wCYmB3474W7jpUpij7QCKjsjbJf8o2y3H0jaCPpGouAT28B94yxXtxjXKmmnYawL2lPapkhz16VIYnRe06BlyqXluMqWamykTx9ranFyDoSx7q+PdFm8s2lFHykgjxPLmC5h6yNkynIiHP2VqRea2w9E7OyvJmGiS5a1JMFeYgvWQDjQ5tt7NfsUiRPtSpkZlwBO7Lgtdjs1op92qclpgLKMlHoNTCsa5bER0Zq1741ym+hjWZd0fMCI2MOT0pZ0THRmCjdsa2FV7RGtTXlftHa7sxjoyhojtjpG89/pDkY+TA7xA/WSr+0Rs9DKXSeYbjuGZOyJL6fk3yfP512UyYNZyH9npSTXuMdF+ae/lTVraLRitjln3j8xyH9IrpTJr3vNc4sxzJ5FpVRPkKPtpKqKczpLnTHxjAjNTqIyPDtEbUEbZYqOuOjKmkp1g1rAxUrxUzqpcYF3FTLYkpydQVwCeqJgoypOU16wYsXGhtKehLK6EU0VvrXXFoH2cgHmyh05hyUd8WyabRa5xFA0w46IyA/vV6BxRkdQysNRBhr9BRpy6/dN46jSMquyserRp3xrecT4KYzl2RKf6m/8YIo0zF33sbz4exYKNZiRKaUqqKCjGBgwHrRZ/JHFWpslLTNJF357uEYkxnNYXncIPrMbyd59LtFY2CnhHyOY+ejR86U8I+R6eMfKA0fOhEH3a/SOlLNIzIFGX84OY9l6SZ7xnH7aWKjrGUHMHlSl0ndjcBEhtPyfYH/AFpymzB4D6Y8G0RqBqvYYAvIFK8NpWoJvWzJnMf6D+gM1uMtNpmevOmHFifAZdvKxaai1lztkxc9+O+B71ktGgabngYvNs5KdTDGDgpfRPYb+So9d7iv8WUA08yno00qPlmDwwhJjSJk+1zzNdHAFQFAF4qMRSLQdO1WybfMnNtOQ1D4BVq90C/gt9oMya7Chpgq7hlv4Dgi5bzlAvEseqv5+lUVZmNABrJgXaNmXm1+8aCm6sa5lpr3BfrGbSrReOor9Ya4S7WNCp2NUr3wc+TrAoe2Oi3OHfGTI1O4w50n3n2fMD1TvEdKW1a9UfOhEatK/glKWeY5oFESG0rFYnuNpP7WYNWofTHl2y6zyMkGcx9Sjvpvi1Nxlrtb+tNf6KMh6I4uZQDfzC/vgX0k2gtLG8NXxiVOaU0q2SjLegPNNV1ihv2jKB+ssTrPB20F4jNVsbVEOKMvmDFTvhrpYmyRKQE4E7ItM02i0zBcvGECoUaruvu+Ag6Sk64pStLu3gZ7netDS+lYNyippvN0Txp8cMH3bPS+qktb2mN0VEV+zsktuYBlXpHaeqnJrRrO7eoNaHLdh4xM6ipzUjIj4Dr0aGJSlnfjKKoGZrEiZpWWRPWhthHvuOjqGcC4cW2jd1xr0ajtj5rvGNY5FrOhZLIuLt0jqUZmLZzrVaTl8ialH03AejnpxEsS1JNXuJu1Cpi3DimbQOisxb1JPaOv4QcqViaNF0mCunqAidMCtJJq8jSNBXpKK44jPXFnQS5YlHzeeFAoLjVTd1mD+p8oSjL7G9Wm2ohhVWRqg7iPRSlLu7YKoFSYl1SzSa+omvecT/SJEvTZ5gJxNAABE9ig4sEFSBXPglXPaJoOjpdEUxPh2QpCrL0SrTCTgus59R4J5C2mXqHTA1jvFRDgMrKagg4EfAJalndzQKBiSYs71lSzVWt7g+s2pBqz8FFFVRQAahw/MoMahep3iP2kq8dYjZiIntxdlssv15z5AbNZ/pFrH2jj1ZCZS01Ad/pv0haPx/CAKkmF/wAFD+I8JxSagYdhgmpFmmlpTH5ka47roH62ytxM6msobjuEZ2fyhLMlh1m7vhhUMpqDy7fM0WpiZa3t3leqvB5uv4o84b8MSm+3n0x+VdbeHYDZ10JUpPWdtQ1sde8mEqJEhTzZS/U6zn2Dh8nuJQr+zN6fUdXt6AszsaBQMSTFnmXYq1vcHtEsHt3+qihVVRQKBgAOWzaEiXIumTphwVRmYmpopK0v/SJ0VyrrO/bXNHFD6b9IWj8fwiUeeem2rdy+jNQMBurhFa8XLfjZJO2W2PbA/X+T30JoGsy2xOwQLms9uQyXB1X3V3GDeCORKsanR1MWavcF4PN1/FEmc0ye49bRpSi7T3d0WKVUS5K6Rp9SSbyd5MLUSJCnmyl+p1nPsHIn2UtT5lZadzN7coJZmNABrMWd6TJgqrW9wcBqQHPPwlqFREFAoGAA5aXKovZ2yVRmTBFLFYjetjln/vOZ/wBhGRzG4wbknfRvS/pC0fj+DuOc3QXXCj0WQmoGpuOI6oxFnZuPkfyN41j5bFXxMfL5NQ+Jj5fJcofWJlmSZx7ywhpVhSguy4PN1/FC3Ko9aY2SqMzDDQn2d6EoaXqRmPERPa4C/iGPunZqPVv4ZVjdj1sg+vtoFSTgIkPo2m0KaG2sPcQ9DWc4lqFREFAoGQ5cpasxz1AaydUS7/Jvk98JK/tHGbnu7KcJuIMZri0vdrEHAj0f6QtH4/Rt6qKKsYzJSohhUHWPacz7qb4J0jNU0IP5RlOQXdYyg/MI3+lBazTD/qX/AL+DzdfxR5w34YPNnSSebNTUduo5RakKvLbEa1IyI/qInEmzziMR0T8w78eGa4s8s7F5zd5Xs9sGcSH0bbbENDamGMqWejrP9mUoVJaCgUcuSuk7tgBEhtLydYH/AFmqdMGewf2eUb3k5Nu1GAaMpxU6j6L9IWj8fo5YWWo1DGGFDEljLPVh7OMSYzm5tujx4DlG6DmLiIymgXrv/ODgR6OcnMenqOL1bqMSXKOhyIifJCq0tNKhBrfEmYzuZkvRAFKDgnEC0SAcR0l+Yd+G6YLiJHORsmU5ERW4kUuie4VRkNZOwC8xITRrS9jiWO0mp9sktoeULehvnHOVLPifp60pdFEUXAcuWpZ3c0CgYkxZn0rJZnFDbHH6xx0dQz7YGXoLQv8AqH9PRfpC0fj9HaJf+pf6cBxeW1DEx9AORRgcvZcAiGpJgXrJBuG/XBWoWmXA2AJpXkHIwTXRU83siYpKPo0vGXo5K0vuE5eiTkdR6jslNovLcUKnkzDzUUd51DaYnCk2aBcg6C7NZz9sknQ8o+UEz1ypZzJzP9mUuiiL/d528tAWZmNAAMSTFlmbVNvmKf8A/MHt3+qoCqqigAGQ9DKImL1QwBHof0haPx8mS5Uk5jI8qzqSfvHLs4FNDxaVFd8S3DgG92I8PT/MaRqUExrYaIgCpLMWIHVDXhUUA03wBRS7k3m6FkgvnzuBZwlD7uBPBKapGtc4IqFbnLSPkenjGbFajtg3gjgWYvF0zbV6QCiT5fNmJub6GojES5w4t91bwe6P8uYj+DQc5k6WtOotWMWlWUaTEatI0A7DBFGelXf7zG8+2Sjo+UvKKe4P2cs5sczlEoUVR4k5k6+WM4sz0tVpQ0Nscfq0PRGZz7IlqFREFAoGAA9DrJh+aHcUB3DOFJ0HI5rDfB9B+kLR+PkzZQYjaDTkSkLzHc0CqBUknUBExzLs1smyBNtNsoaF1RrkTG83/RefN8n2+zKgna9GYt4bVW7XEx2k2iRMFHsrr66ttH1EKO3bwjEmBi5uQdecMMBco3D0GsmkdI81e0x0JN3fGtiT4xsFOAUJGsDGCoI3QHDzAMlGuDM0BuUQBQb8oVNI78TDKDBuIiSeaflN44DiDBNdDRDAbqx8ykeESwdFUNQSc/hku7yj5QXCQvQQ5ue7tpLFwzY5knMnX6CQ2j5RtyfrDnJlnxP9mSoVEXADl+8/up/WMxN5wJ+kH9aGqoG6OlMNe7gOIIrH7J71P5QMdFgRG8RvEfOhjUGv4f0haPx8lEVB48i12mRZprristpg0u67rhJayrPJUXSpYFFA6oGA1nVFolWW1sg9yYynSpvuJ4RiYHqSsK7TAwAHL6EsaRjWec35R0phr3cAxmWiaste0kCPktAYdorFKlbPaEmEDaAa8BFDAuVjXSAg3sxxYwSS2+sV4x9ww74YEGJY5p6S5GAKkxOYvuGQ+IL/AOvt4vWyp0VObnu7SEvJN7O2bMcyfQS7vKXlBMJS5y0PTOGztpJWiqO8nWTr5IxJgXJoXF9sa5kwx0ZYJrGt6KO+MxUlvy9A3qyx9dkPiFuC7BSNQeo7DH+YtPCPPp9WQ1v09UapikRrBrwzJrEHZlwjEmJ0s8Ux9bTF6MRqBANIsqhHa0toSrUBcJktzca6tdYlf+nsshxMnWh8tFAanVXDbHlS0ecJJE50aySgAstKqReFArXZmDAwlrbuMlD+Fhf2wvqy/KPk1U6tKWamFFRLsNv4jrpNrfAxmSbMLRLXeyn6QMZdrkTJJXeWWnfBwEi0o57jGotfHyIY1zH+gjVLT6mPncxsHDZ3Mu2+XZ8vTkyWzSUMJj93bWH5iWjynMM3TmNgBLJ0QM6UNwizLoTGEhAHmH1ssBhC85Z1krKdTrGjnC/4jzL7XZV6Wl74Gde6LQgeVNQ1DA8Mw6RULU1zhhQs5qacCGquuIg4gvdAFAPh5H/GWylVsaHxc5D+wOc8xr2mucWY5k+gI/422i9bJLOr5zkMu8JeWN7O2bMcyeT8i3dsE85Q1WI1VhB9o6+6MgNsa5jEx8opAxJgD12uLHYNXKGZMftZlw6hnDetMbE8j9IWj8caiI6Us07o1Hmt+UTDonSGC5mFFBwIgYhLi1dsLeA7EjgkGrCbLDVfUCcOqBhNWSC67mN46uBRUmP1Us+6NZ2xqJvjWFoO0x0Z0sTe4ikHHiE4gf8A10geqtlt5KdYYGvbAwk+UfJyN2uprA/9nans7N/8l1YHrNYQlsUdakXQf1Vtsk2We3RI74Puy7UhbsrXg8tuVmz0xs1lX/FmbCRcOul9Is6aKKMTrJOZJvJ1mPJ40JYyae2G+g8IUksWOJOMKKVhhTRp61cotyNavJ/RlzlAM6Uuy+uym34s4raLTSqWOWfePzahBOnNnPe85zizHM+gnLWbOxSxy83bbqH9Kk6c6c97znOLMdfJIIiUKFTnu1wfVXRq1NuqCasxxY6+AYkwL5cs+9tPALyTANAztTS3R9+NZYmNUtAO+BgZraVOV+kLR+PkK/FLsA4XTQmKgqRTAwMUYUIhVJG+CoZtpN54BeSYRuZpCukddI1LRR3RrN57/QHFZihgeowcWlSBKY9aUMZfo/yi6gfzaUeSZEjydZ7Ta2DTCj1muCdhoIUUlr0mNwHbEirzm6U5r27MOqKil9wGcXVNfCJBAlr0prXKOrHqiw+W5MudMGJWcCs2/bQD4rOWsyaRVLHL6bbdQ3bAXOnaLRMvec5xZj6C1j7NTeshM5j6gMtfjPbjLVapl7znzJOrGg/ry1vQ0vxgeshuI6uDbnAGlJRxQEZmmfANcVqE959+oQLgB6L9IWj8fCoqYmMZlN/IlaQdVxIIhyAw0TzBW+sDgQ/aOPfOoQBQAelFss1oFcSsyVXsuiwAORk05vUHVj2wTpG71icangUc0kZ5RYue56U9v/EXbxFr/wDyCxywMwASSeqnxS0LXSN6WVP2j/Qf0BnNxlptUy95znEk6tQ/r6C2c2y2YZfO2pR303kWs6drtbYu2oalGQ9CMGU0MfvDGTOakQvqshoRHzoCR1wPec1puHpP0haPx8JI4wLkNVYw0mcNQbhBxbTpWNTnSBgYzJRqBvEHMQceBTSZMHvbBC3AD03lGynyZbaYJNBLSXO8jRrkIVjOnsfemtfTqF2+sDIQrEFWMWUAgUrpTD6i/XcDB581uk5vP5dUf/isp+Mme69rmimiNeiorsPxO1DmL7tnT9o+oDIZ+NobjLVa5nrzn/LUPQWpuLslkT1pjazqUZmLZfaJ+SDKWmpR303U9q/SFo/HwA0ed9BGZOJO3ki95YwcZ3a4YVvMD/FmDIahthRQD09oWjUNCpxDA5EG+CxFi8rNXi565Bz7rjOv9SVHPU1B21gX01mLH9tNJwM5sB/CO+GGjafKKmtnsCm7SLC5nxoBW/XSkAmZPnve8+afWdjrPhQZfErWPsZPuyl/aPqUd8Wo6drtb+tMbUNSjIegs0ovoA00jkKxbUDAj1LPLN4lpquN5/3PtQxJjz6edOYT0tQg4rLSleuAKAQffcc47hDGrMxqSeSdkFtNGJoGB9hf1pU5A6nqME1EgnziQNyMajtMTZZtEp3suIU6qY3E0wuMTGLzbJZaWWRMJxDhb37RCYS5KBRXWdZ2m/4la7rNZhgPnfUo76byLWdO12t8WPRXUoyH+w9B5ufER5vL/CPamNFQYsYF6yh6q/mY8/tH44UVMN6in3Bl18DLpK2R2cAzMa1S7vjVMQiDgRHzCsC9pTH1dxgio9hsdoCSL7iss07Def4otEtZibiMN/xMWtZQmNewQKOaDkPRebnxEeby/wAI9qckLXBRWl3AbfaKILyefqiVRjL1nKvAO+JTaaljzqboIqIUhh2iDwTTceg2rdHysDExSqqLySdkBACDu9hnWW0Ky8WKEgA3ikLgqigHV8T/AEgv4B6Lzc+IjzeX+Ee0kUhblYtSojPQvY9eUefTxpG8+tDzWr1QoqYN6IcEH5wykQF0ey6HIUdsC7g1EVj5bvCNbGpG72Im2IeuUKfEkuMmzrxjA6icAd5EZNNtAXuCnxjyhPE5lWeV0LqUB0TWDnOXSSv3h9QIcVV0YMrDWCMeUoqWY0AELdWSQJdfvnHqBi0LoMeczgbDUDuiWoQK8lsAKYhhBxm2Z9Ifymh7zA9YKecuxlN46/aExkWcabA6jkDvIjJptoCnsCnxh58ycWE8oRpGtPVOEM5Okyhkv2i/ujFWUg8aerLhJqZUzDqMZdFdw9lF2nMalTqGs7BA96nFoes390eTpjzFUzy2npLQgnRFIzaROD9xA8YIrxEzmTOw49Vfh0ldJ3bAD+8oHN5p0Zk3axGA2DrrySazLLMNUf8AI7R3wt02S3rSm1H6HPkSV0mY9wGsnCkKfs7OrettfWdmA7+SmDoe46xsMS1qyC5ZoHvL9R/Y9klKXd3NAoGcCqmYvNmTtpOKjZ26hyCavJa+XM+8v1xiUPtrMxqV2g5rt9nZaiX7squBf8vCDgXNyjUBgBsHIBqCDQgwaKlrN7y/vdIbcd8OAyspqCDgQfhlkcqNE/4ri4sdgvA7c4mOEWuFSaR+7aP3bR+7aJ7FBxYIKkCufAObOlVoJqZg/Q5GJ6B0bYfrw2JyoCm6ZMFzMddLwOvXwThpJpzgCRWlaR+/EfvxEkaT6E4EgVpWnBJYOjriCIH2dolj3Jgx6jcRsPslmYecMp/xJgy3L47hwOaJLlqWZjqAEG/RnTCX7FB7zHRYutf9JhjRJo5yNuYXdWPBJao1MMwdYOETVo6VqZbjFTuP0Pss48XZkbAt0jsAv7BnE1i7uxqWJxPBaJgRWfAbTFnXTZFVgSK5chgWsbMfVIvKbsSOvX8LnUkSSMQzYkbQoY9XB5xL/EIkSi6FhUVrqj9wI/cCJLFkWXLC3nM8Mj7eQDkpNGG4Gh/iPAsrQlEYh25oI3E16uHzceJizzNAOzsCY/eNFoTQZ1ZiQK5cNulmgyExQSD2aQ7PY5Mk8XXpm5e8iGJZmJqSTnwWlA0x2F8pTeEGrbt3CJTFXtM6pQkYhQCK76wTzllqUcDYakdoi2yq0YX0PgQewiLPMKqx95Tep6wQeC1oZsoapii/tWv8o9lsP2EsZBh6536VR1Dh84HgY83PiORImLMRtRBqItEpZq7Awr8KJmzGXaNEA97cHnEv8QifKKIGNBWuuP34j9+IQBuawYEEVBB4Z6zJTbQVJHeBwTLYCdoCN9SOHzceJibOLI6gUYUEbh+cOukqzBSo1jhW1yq7iwB7ifY51sUMNahWPjTgmWpNMHNQakdghLM+gwxBIoD1V4UYsizJQYrU1IB31PXEwAMUXRFAKC7gFrlqfusdE9xPsigsdwiYxdicyTU8PnA8DHm58RyZfGSydgdqd1PhTS5qdhU/93B5xL/EIs8vTCMaAx+8aP3jQyKgSXUgADbwq7uepGP04EtgXtRv/Hh83HiYs76BdXUAx+8WJEopR2BLEmuXC9slA7tMV7vY0teh2ox/7eA2lV6zcO8x5uT2U4FkIGVpQBB0RWt2MElQ6SVpUY5Q0mWxWWoUVpjQcD2ySv8ArHskyWyDrFOR5wPAx5ufEcmY81/9bD6fCrDODH7jc09+ierg84l/iENIICqKk3jKP3LflH7lvygmgMyWVBPXw2SToKfnf+gbt4JacfLpjpJfdvFR18Pm48THnB8BybDLM0ml2meao7yf4fY7MBaU/gx/06XBKcOjDIg1Bi2yDLnSwfVJFHXqvjSPFWpV5jjKpyOwwxoFUVJ6oaa7hJi6LUJuJGUeby/DgsSNaG3i5e8g9XsqTi0v7jc5e4gdXD5wPAx5ufEcgmgAziRIVX2tSrHtJ+FTkMt1OYIoYRqyphH+Ihwb+86xKmq5AxIBBj9wY/cGP3BhpyPz5WiABWprwOwVVUVLE4ACJn2tpYZucuoUHVw2tjMkMBcpxKbKHDZTgs8vQcLKqK1OBrE+cWTTFDTkTGCoiipYnAARO+1tLC/nH3a6gLu05+xsKEEVBETSZlmc4FDlXWMP9+CaazrMxoCekpyMMKNKtEo+IqO+Di0taE9ggiinQKS1Osk0J6u0RObSdz/dwypBi2UmTgReg91OoGp2k+y2RdGeFF7Stf8ACe4nVwyJwZ9AVNItEvQQNKoK1GJryLAQ5JFzzPdXqxO4a/hkqrWefSpQ6jrU5wL1bFXGtTmOS5CqqipJOAAgr9hIx4muZ+bw34cMwXMPWRsmU5EQ5+ytSLzW2HonZ2V5Mw0SXLWpJgrzEF6yAcaHNtvZr9lHOkzgKmU+vaNYzjGXMW9Jg1qf7I5LGgAFSTC86z2VhXQOTNt1DLfh7KbiDDEvNs6DnSdZAzXw3cpDSdaXHNTYNbbO2kSVoNbHNjrJ+GnAOL1OsHEHaIN4kWoG7+Mfl1wPelTkIPVWvdHzuieJEZqv2r9goO+KX2mdzn6sl6uU4oyOoZWGogw1+go05dfum8dRpGVXZWPVo0741vOJ8FMZy7IlP9Tf+MEUaZi772N58PZz7swVodYOIO0QbxItQJA3OL+0dcD3pU5CD1Vr3R87oniRGag8a/YLu+BjaZ9Gevy5L1dvtLX8bIUaLH5kwPVQ7Yy0H4tusNQd5j5WVh2gwffnT0oOpST3QL+IlAoldpxI7IQUWXLUKo6h/wD0X//EACwRAAIBAgMIAgMAAwEAAAAAAAECAwQRABITBRAgITAxM0AiMhQjQVBRYET/2gAIAQIBAQgA/wCCpqNpfky0kK4eihYYqKZoTz44KAsLyCigGJNnxkfCSJo2ytvp6VpueEo4VGGo4WGKikaL5Dq09I03MrRwrh6OFhiopWh5+rTxasgXAAAsKypaMhUhkEiBsOgdSrOhRip4aCEMxc1UrRR5lWWrZcwpqnWuDWRB4id8aF3ChECKFE9SyvpxtUVEXOQFZFvieLSkK9SGPUcJhVCiwleZqjTR2qoRmZHSeO+JYzG5T1NneQ4YhRcwyxtI0ktDIFcxbq3ztxbP8RxtDxYjkqggy0GW7Xf6m+6i843U/Oqcl0WRcrIgRQq7R8o6lB5t3/txPbSa+zvGcV/m9Sml0pAxqw7x5Y46WNUAaopirK8LOFXM0jl3LHh2fKAxQ1ylorCOqdEC4pIXzmV6yURxEb4n03DYVgwDCVJIptVJJppxkWNRGgU1EurIW6kEmnIGwCCLiVJlqNRHSpnGVo0WGO2JpNSQt6tNWGMZWSqifs9ZCoxUVTTcuMEg3EFepFpBNGRcS1sSDlLK0rZm309U0PLCVkLYeriTvUVjS/FeIuq9xKh7A34aaraL4lKuJ+z1kK4qKtpuQ9aHuemjFTcSKAbrwr3GJfI3EZb/AEy3+wRR2IB76aYyD+WYdhIw+yyK3bEXkXDdz7EPc9SMgjIxBU2PAvcYl8jcDS87KVLc2LBe4Dt20j/dFcaK40j/ADLIMZiO/wAHwAw+tKzPKq4kUqxB9dHym+Mgf6dN+aKx4F7jEvkbczBRcks+LhRgB27LGq8+gyK3cxW+sMpjkBLs2YuFYMLj2NQNykaMqLjot4l4Y1LMAJ0KyEF5MvIBed2BLfVYwvM9NlDCxIKd75DfHf2VcqbiyP2ZSpseM+IcBYL3WoCsGWWaSVy2PigwEL827dYi/IkZDYq2Q2PtLJyysY7i6cTsFiF9Zf5nc9rMe9kXmc4PYI7d1jVefosuZSCvyXnEbrY+0CQbiLTlb9sx0myAl275bdryDs7MoJdq2L8RQschdbrkc40R/VjVe3qEZXthDZyPdXub7yARYsLEjFDmyG/rzD45sMbEN7sin7KCCLjdmLck/FiPdVCiw9ci4thRdMpjbMoPutGrG+NI4EK/3cZjhWcv7HZyMQ/W3+AVSxsJZIxGEjxJEqwq49eTkwOIu7DhVSxyrFs9QLyfhQWxNs+wvGRb1lUsbBmCjIu5vGvRAJNhDs8WvIKWEYloEYXSSNo2yt0pRdeSMM9+GghCpnOKhykRZaWRpIgzbQhAtIPUVSxsGYIMq75PioTiJsL4XmL7tnwgkyGrnaFQVRsygmWodZ1jFbCHjzDolrG24RANmwASbDRYfbTGNMYhAEagYq/C2KHwjFbbQb1ACTYMQgyrv8Q3X4ZDchBGtPkOa0WKLLpfHaPjGEaryixMhqV1H+pv0GYKLmkgeUFhpAfbNGvYzP2G+ilDxZcVkUhIeOSWeddMQRaUYTG0JQFEY9IAk2BIjGVd4/ULnvh7E3W2PiMB/wDWrIOySMVJMC93O7Z8oF4zXRs6ALGCEAM0bmpVhWzBIyOifk1sQTSLGFXiilaJsyxVsTj5a0ffE1eii0bMWOZvRAubAnTFhvUCMZmJJNzKzKt1sSbizY+WCf8AdkbmsXIZnjBCgHcCQbiHaAItJ+VDiWvjUfCSRpGzNxk2wjC5xH2Pud8H9QsN6qFGdmYsbnc0Kk3Bhb+aUli2MwHck3usaGwZ+uwuLYGIomy/Ei3EqljYQ7PFryfhQYm2fyvGQQbH0PFwIoAzszFjc8MUoWBl9QgHEM7wn46it99NW+jIy/bfs+EBdQtO4qRHipqshyRwhwv7NoQi2oOv4uBEFszO5Y3PEvjb2FkZeQzo3201PbTXFOAIlAqWZam6URVZCr4qvC1+t4hc70QH5M7lj0F8bcTTzOSUhk1Y1f1aCUNHkw0b/lhsVVNqDOtNI7LaSvlCpkHVA0hck35nciZuZd83boL424ltnewIzXg9SORo2zLFXRuPlrR98TV0aiyO7O2ZuoAIxmJJJudyJmOHe/IdFfG3DVTMoCIFEp0QqhQFX/CACMZmJJNzuRCxsHcEZV6S+NuB6tySsYYr8WghESkdCvqNGEkUsRjjAMdQNTRb2lAQZmJLG53KpY2DsAMi9NfG3BPA0d5EpCskpcdCZvyau2GIRSx2bGXLVL+yqhBnZmLG53KpY2DMFGReovjbqtextTQ6C5DVlnZYEjRY1CL7CqFGdmYsbneDliuOqvjbrMit3koEp8sg9mb78J8Q6y+NuvISVX2IKd5jySgiUfKSjifFRStDz3AEmwh2eLXk/GitlxLQIwukkbRtlbpQ7PJF5BSQgZcS7PUi8boyHK3SjjaRsqxbPQD5tSQkAYnoCozR+qil2ChEEaZVhkqphdY1qcwzsoYWM0elIVxs+EEmQ1c7QqCoerIuITKV/bWwh48w6Oz4QxMhqJxCtyGrGGYU1SZbq1dCHTOOlRwiOMHEhKoSKOZ5UJfFfCEcOPUovOMN2OKQzhTpQmoLfsxtG2qMUPhGNo+MYSWpCgCMsVBd/qb9Gg8IxW85kBnmMQFqedHlID2ym/RG6XxtjZ3jO7aHiHqxPpuGxcMtxTtNCpXCVEzMAcVUupKWGz5QLxmujZ0AWMEIAcVswSMjpbOlFjGauAyqCoq5VFmpYpDKZXrJRHER06aUSRg4kBKEChRkQhsbQlBIQerTVbRfEpVROOTVES96mtzjKmASDcQ7QBFpPyocS18aj4SSNI2ZuirFTcQ16MLSa0ffEtbEg5SytK2ZulDO0LXWOticczPEOeJ69QLRkkm5/wCO/8QALxEAAQEECAYDAAIDAAAAAAAAAQARITFBAhAgMEBRsfBhgZHB0eEycaESIlBg8f/aAAgBAgEJPwD/AEJwVFBieLh3BUU6y4INQTxfOCDUGJ4w8apqVqVQDN8UGEKIrmoBBtJUQxQN7OqkxFoUCpYTKoxRdKrbrWazVFy+Vjbq4KCyvMqtuWRWeFgg1qoglCCcp2poTVAu3kgxqia5VBoKoENRgoX1Fq/qFAYZ4RRanC4jmqQRabLwixFOFsoi08Iopww+R0vIG3mbT9EWoVBN6lFDojVmMTkdLyB/DbzNh5T9KnKkieqJ6oph/EDv6T0e6D8V08Z3kYdLWZrcKnBRuAiohTlius/aeM7rM9rbynldU83sNxUJ+cW4/nq5zPawU9ic2qGXnAQUNMW8bgnj9tmZ7J6DEe1QanKODljHcU/6RZ9Inr5R/E3kqI/k3Z5uQTB+ok74IYWanjY2oYiSljY2RivrHRVJPronE/a4/wCBD51RxH1aiiqOqPLEczuVfHtddFRTio3clA2YmqKiueG5nctbERcyrgVEXUbDvvbVSH74VIfvhZCxt+FjM9rHy096W56IlqJ6e6s0AxRddh80QP1Bv34HlO+nWIhSVBmGjM9rHy04+Kg1UUFS3zT0YKdgNeskHOUTcyRZcOKpDqnlRwcdOFiMh3rKO+tQQ/FLcLPVUgnm7zON+WnuxyG5WHIoOFccECy4Ko6o8sF8tPeliGvq2MMOm2Kl1d6/ULHJQ9J9JF654D5ae9LENbjh3xBQ6b8Kl1VIfviqPpfLA/LT3YgLnh3tFgBIDsnPUxhYhB3pfIIMIUTffLSxAKAueHe1Bp9/rU3+TZQ4tlhnFUh1Tyo3sZefFiCgLrh3sxP4M/Cd9ZeTJQH+FjIdzZhd8O9ijBzSe3/F/Y0jvkzbU8mJuIlw3wUUXsbi4yHezDW84d7Bc1pDOrNZp4AZ1joLn40Nf+6cUVEw+tu5YrkNy1s8zn6veHe+io0o/W9FAYnkM/VmZvuHe+CDyOGKyGlnM9r7h3v8u5xEE9BieK+iopxUbvogixRuw9FqEE/DTUkQiGVyqA3zQeoi6kopiDCFEXcTYnhduqAYgGVZVZqg7fFBhvIe1RaqDDe5FZ1Z4WSmqBKoMFUKg16yqibr7UQqBagxqibuKyQY+qWGeFSVIKFfVUgnm7inFUh1Tzelh4qkOqec/wDUP//EACsRAAIBAwEIAgMBAQEBAAAAAAECAwQREgATICEwMTIzQBAiBRQjQlBgRP/aAAgBAwEBCAD/AMFUVYj+qtVStpKyVdQVCyjhvzVwU2jNZMdR1zg/aORZFyX5nqVi4aarlbS1cq6p6pZeB5tRVLFwDVcraSrlXUFSsvD1Z5NnGW0Tc3NJTrICzzRmNyukcowYI4dQw3a6UquApollfFmjpQ2JqKfZWIpJSkgHzI4RSxdi7FjDThl2ki08EnCMhka2oJNpGG5ksmzQtoksbmJIlg2jotNMcQ6tDJbUT7RA3qV/jGgCTYTRyLGqR1sZZBJ8UfhG9X+UaofLqSOmLnKuystk7h81nhPxPwpkAR2Rsldy7ZGg8Z5ld4vj/wCPUN9otq/yDVD4vUqI9pGVFKUWTJ5KmRnJWCoDKySqhZsVjQIoUbtfESocUTBZLmSmR3LaqpUwESUkReQH5kTNCumUqbGJ45Ytk8cUUJzZ2Mjkinj2cYXmTR7RCuiCDYxPEYNm6vTw/ZXdpnvqGPZoF9WopBIclemlXqlJK2oKZYuO+RcWM1CQbxmKQGxjo5HPGKJYlxX5qKVZeOnpJV0lLK/SnpFi+zbyRO/aaaZepBHXcqKRZfsHpZU6pSStqnpVi4n1peg5bqGFjGxPA7rdNRdi7oBJsEpLcZQ4ThG0jt3AkdNvJ00ZCepETdzUinskgkj4tqXsbS9B7EvQcyQEfdQQRcbjdNRdi7kdKSMpFZYxaJUZjwaWGPgTWW7f3JNfuSaFZfuE8DaARuy0kWm2b99ZCscTOqMGUEeu65C2synfy04MyjcbpqLsX4jjaRsVjiSHjoBpG08sUfWWoeTgd+OaSPsWrvwknhEsRCrHGyCNnRo2Kt7GzK8UWQE2PJXyHddgqkmBg0YtDTmQZNkFXBHwi8ktS8gxHLjleNsljdZh9XQTrjogg2PsMgYWN2TqrBhcb48h3EjdzZDQuykPDSQwqAfvIeElQsXCMkk3PNBKm4SQTi4mj2y5j2mj45KJLGz70cbvKQgo5P8AQpoh3ARr25SyfUGPHvaoiTtkqZJBY+hFIY3Dh/o91q0Cykj2iARYy7SNf500RnTMrHCnQsp7tnAesUMTMBEn4uc1zZTxJC5VzUQr0NY3+Hnlfg3qRNnCNVK5RBvdYgquPyrFSGCNkobX5sJtVI9ejb+mBVclZPdppQP5uylTY/DBYhlKPydSD9XdnYs3rglTcM2MuYnTCVkHuR1MkYxH7a6NZJ/kkniQLm2l/GxkAmaCmSmNvXU5Qq2qwf1v/wABmCi5ijkMhd9JKzTMh9elN42XVWLhG3WYKLtLXsTZP3JtQ11zaTr6zMFFyqljk3wvkbft8EgC5mrje0ZqZdRVzqfujq65LyqVwsovUITEQdyulLPgNQIHkCmpjWOQqtDMT/M+oSFFyoLnJvmP7MX3lUswUTgB8BqvlIAjFLCsrEM4xYgRwK0JkNHKUkx5UcJZS5PXg1U7RbMkgcTtVPbtDraHUpvIxOqXzLqt8x1R+YeoSALlQXOTfPlPwVI67lGmzjepaRp8xa8uqzLa/b8f3nTrS5G4EYp22adwtyIYjLIEX8vUxxSCEbQntxkPURL1PzWRlJL6pJIwCjpHBC2Zmk2jltUERLFz6RIAuQDIcj8n+hsNU5kSMRy7UjpeVuklPcXkFFRubtUUkCSKq/lpwAlKnxXxE2kFE6o5LSG7kiGRRTsppIi8l+TH/KAya/IQxtUsx3pI1kXFpKORDw2MmoqF2N3VQoxHok24kDaG5+WJc4gAAWFDFFLLjKHjRdm+UGrwHSoL/wA9pURHCSuJeQQ01Y6vOzL8EAixmoSDeP8AWl1HQyN3RxrGuK74BJsKlCUjC1g+yE+4P6G5+WYscFVQosPiL8jMihWX8jC3etTSsQqiJmF1RQExlq6hMmig58TBXBJN+lXMrSXfrvEhRcy15vaP9ubUVfxtICCLj0PLuMxJwVVCiw3ZIy0yt6isV6TQrN34MvbtGHcrq3b810pJ2YWFDTmTVPTZjN5Shb6UMxvszz/LuOxviqqFFhvN5F9ho1bicHXtzYddo2qgkysTTBTT2asDNGCmqbyrbneXhuO5H1VECjkN5F3giAAF1xYj1a6Mq+WlkX9UrqlqNmcWqERWulDEWfPnE7Q2AFvl3x4BEx68hvIu8eguen39SSNZFxaWikU/XYyaionY3dEVFxXmEmQ2AAAsPh3xGkS3E8lvIu7GgPEk4/Ykkm5/4hJc4qAALD4dwovpEN8m5TeRdwRCwLEX4h3yPIgjze2tjHgL1tOiHKP2mJc4qAALD4ZgouUU3yblt5F3EcNZTLdVAPIoYOF9Zj/VZLk2I9lmLHFVUKLD4ZgouVUsc25jeReaOvGBo2QEVEwVLaYljc+wzFjiqqFFh8kXksea3kXnBiOIjrGnLKfZh7N0eU85vIvPjADN7E06xDi9dKeiVcqagqVl4fBIAuZq43tH+xLe+oq51P3R1dcl5U1dY2jNVKTfUVewNnVg4yXlO6ouTSV7nsFVKDfUNcGNpPVdgqli7mR8mljpojZpDT4nBWKm4hk2iBtV8pAEYpYVlYhilKDYzCMH+dHKUkx5VdKVAQQQGZrArSqcTU0+ysy0UxR8DyquYyPbSAFgDVxLGwC6oZSy4H1KzwnS9dVQhLDaSiAL/PVB4zqt8x1+P7zp4qcsbyBQxCp3C3JrfMdUfCFyIYhITeeF0jBKdwtyT8Rd66/Id4+KDyH1ZUzQrqxVrGdYZmB08ESqSNU0ezjANfETaQUTqjktIbuSNUkReS/Kr4zcSClnETEMaWJjdaqRBGIlpIi8g5dREY5CNRmzgmtdXcFdUEZALn1ailEvEPTSr1WCVulPR4HJ9EAixmoSDeP9aXUdDI3dHGsa4ryWUMLGaiZTdNjJqOjkfrFEsS4rypoVlWzSUkqdBDIdQ0LE3kAAFh/47//EADERAAEBBAcIAgMAAwEAAAAAAAEAAhEhMSAwQEFRkdEQYXGBobHB4TLwAxIiQlBg0v/aAAgBAwEJPwD/AIKJRRep1EUVGjEouRUDXRKKL1A2eW2+lfsJf93IvBUjtu2FwTUVMV7L0HFTCvsmOwSQjfUYLBNRXxofY7ZqaxrvsVisLLNFzkYIz2XUrkbk2IovcpDbfsLiE09X17TlEqZs0Cgg5RNRkmSg4UYFBBRNNklMHI0oFBBRNnxHesmKeFIu3X+ueSDu+aJOxooA8homMoeuiaz1l2Qh0z2YWnEd6yY7U8KBcOp5aoO3356bD+x3Sz9c0wObz66IDIIDIJgcoeuieOuiaB6d3J4TOUDp0TUOtqz+yrJa0sNgeV/TXQa9lEr+julnpmpYCVQ0QmQeEDp0ReDfhxwVwcDhxxCmLTld6UDVYDzTgzjpig4d+KMcL/X2CgMB5xrCg5rDHhovkJaaWuI6+6nAeaAeiA/E+A8o/s7kNey+6KJxw4a5Y2D5Ce/ePI5r5Ce8Y8e9rgVA9KYfAeUQOJ8B5TRPCHU6Jgc4+uiedw0RA4nxND9jkNeyMMBAWG5cR4UjHO2RX8jfjgg879BqUyDyd2cmcjq9ADjE9XjJNn9HB2nKJTQHdAnpqmQOT+700TZZsw5XeVcXcjEebb8XQ89aFyvRi6Pi0f5Q06q8do+LbIy3HTGhledOKacMEXk2ncc4q4m2mGBimA/iXfeaczw1nt/OwOacd+J42jhl6KvAPT/Q8tkrRc4+D3CwdkfdGSCKztHIfb9u7zVZppRFZIwzU2T3h3dRkNklJcrNyFCRpTKuhRmFI1UGRf447M91w+7sNkeCZPTVMnpqsbTK4eaHx7+u9P8AxgOJ0QDkB95bMES9SjVXo/wyA4cg86oP6Iu4ffCjxoSKvTT7NK7WhLvsa/RwuJ6gX738l+Y9V+QHnq5fiB5O6suQLLsDPdEeV+Mn9oiLswQc3yUmYl0nnDgOc3xoF0NhjFSFTNqA4XnxmhNxzANREJk5KAUrHL7GhK/TYboRc84Pu+hMkuxMR0TJzH/lA5jQJuO+HrqmhzaD+4PVH5B5L3mZm08uDnHu9F4osqAqrg7m8nyp/qz2d2Ft+Pf1Q5n7fQAaAx1DimCOBf0Oq/I4nEEajqnEbiD2QeMCQ7r4cgAxuv4kxP2FiajUBHshYvj39d6E+1M2WaOaGUfaNGftQZQguVg+Pf13oT7VG/xaAjmmUyemuyS+Nh+Pf1QnU7/FIWaRRj7XxKLwVIV0u9CZU6nf4pYKVmiEyclAKVbL7ChNTNVv8UZD/Tyv0ozq9/igVACqioDC1yvPijPtWb/FeLXzP2+jy3e63f4rjxClauZ+30bhXb/FcUZWrf3o4a12/wAV+PgWiagioHbmmlEVmaKClWByKhZrlegUC+iSpKRqr1JPReCpGrkKF1nMUS/ZjswTaLxWfYJpyaeK3FYbMLLfsbcm37J7C6G2Qq5FNhyL3KQrMUXw2X2aBTKZKnQZUBWRCZOSgK0PTJyUB/yH/9k=" 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">
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">
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">
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">
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EMVe/+wfsG2D69XVP54lUolbks5u3lc5LRFgT4hjkWu5U0lJD44xRHfrKuzHK05EPfvnF31NM53s2RAVCed+HNe1sR/53wx6Or51QVL5wXLwwqTQ8dd5sfPGCk8AxyvSvfeqlrLzWWNxVPfzMk/RavpKhURm1MfLrg9etosH3e5O//eFr8+NdI/jmiNGssh9V6ISgs2qznPff7AKLm3/9n0iKmOZ0L8tGptu5rY7N0kOiCxz8fq6jGTg2V7T9babBPzc/JtND9z7pY5AXJPxaGpsTNiXMWuEv65Kr+6S2ts6T6hPhizPicfIypN4CxlvbBrqa/NKvpucuzv0qQSL8f1YUVziWMqc5Rv9IBVTRUtJVyHuSV9zayNp4X4nE9snpeslCu3TY27Z8yl17QhqhCkGcpcWfiowo3Y30yPnPywXOon4h9DVWhKiULqR0IUA6c7+YUiJ9SHvlLNfv8+IT/mk1vnLR0dMvaNhKAxjmsOiCok7Zs8m39muqpg8ecTo++a7yNVEG1nCzlVfZRMibvHMQPlbDvXcKq7UVeduW7B1mFNnV4PgmWfzV+TkTBrjUwqd2kzNnefVB/CV//1AGXx2Of35cq79PqP08Mnz+nqMYv4lf5+XkqilIUQl0Fe8OPn4H+q+GZHvZ0spH1t6owh/+uCUhHZOi1+5oz2To3ldP2phPdy8ptY5D1Yzbjrv0o3VbuXyyxW44bU8AkP8jNM/JRlqCLS6VuhfAx/OdBhaiNVrWU2jaUldsPCguobJYtq5xxP4jLqGMcRu6azdcp7OfnGG3XuG3EeiDoIZdXOXE9Dj3FHeviUGfwIerXNxvWQ843FxNRldKy+bzW2tFapz8S/+dgXHTeiiZfOsWzb3DvFIsmKt7M/XyQaYb+kAlEHMWlVwQP5fl7+s309A0QikeMlJbHNbnOxcT09NptN32Pr1lh6zHWdFkOdyWrSSlzcxs5InjeTjzvXWFRxsbUyfaSNajfyP7r+54KolOirvnpy18SYu2bzcSdqDv2k1TXP7L8skNKpbskYiEqp7a/tX10/Jmx8KB93sHzPbndL53z8zDkluH1+zJNe5i2Z9Ma3L9qSQlMdP5O+r6SwoOhs8/0HVL+8/Ift+glgRL1+ho6EV799tmVs6DjHXddXxVu/3HD/jnmUohGDEZWeA//cs+Lk7ZFTHD/x93Xxtk/fub/wQXrpSMKISsmBNTtzt0+O+91CPm7P2W3/eTu78FFK0YjBiErPgVUFD7xyT9KcFyAqPaa9kzCiUuL6bMGSF6YnzXsFolIC2i8GolLi2lvUr4o/y9tw/xf3U4pGDL766TnQW9R9JYW75P7N8y/9NhW9s9y6SRhRKfW+t6jHqn78ob6m9t5NT4ysN0EpofpNMRD1N2EbeFBvUStaShsqK4tTbvSiFEof5aaMgaiU2vKXgsXPz0jKcvzqc7O+3nz8/KHwkfbKMiVUvykGov4mbAMPWvX5kufuSZ73Kv+XVkOT+ei5HyAqJbZ8DESlBHNl/uLVvx+T9TpEpQQUj6eEAblie84zE6MyXuMIEetM7eaKpjMR63PytcKc7dZLxYhKqefLdz8gczObfW1iN5GLXcz5nEmoValu7f91OSW0jhiISpMmsgQjAFEFQ4tgmgQgKk2ayBKMAEQVDC2CaRKAqDRpIkswAhBVMLQIpkkAotKkiSzBCEBUwdAimCYBiEqTJrIEIwBRBUOLYJoEICpNmsgSjABEFQwtgmkSgKg0aSJLMAIQVTC0CKZJAKLSpIkswQhAVMHQIpgmAYhKkyayBCMAUQVDi2CaBCAqTZrIEowARBUMLYJpEoCoNGkiSzACEFUwtAimSQCi0qSJLMEIQFTB0CKYJgGISpMmsgQjAFEFQ4tgmgQgKk2ayBKMAEQVDC2CaRKAqDRpIkswAhBVMLQIpkkAotKkiSzBCEBUwdAimCYBiEqTJrIEIwBRBUOLYJoEICpNmsgSjABEFQwtgmkSgKg0aSJLMAIQVTC0CKZJAKLSpIkswQhAVMHQIpgmAYhKkyayBCMAUQVDi2CaBCAqTZrIEowARBUMLYJpEoCoNGkiSzACEFUwtAimSQCi0qSJLMEIQFTB0CKYJgGISpMmsgQjAFEFQ4tgmgQgKk2ayBKMAEQVDC2CaRL4f2AGNFVLIfYmAAAAAElFTkSuQmCC">
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">
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">
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">
<<include menu>>\ <center>Graine de tomate <<if $eclairage_serre == "obscure">><div style="filter:grayscale(90%)"><<include img_graine>></div><<else>><<include img_graine>><</if>></center>\ <<if $etape == 1>>\ [["Contenu du pot : " + $sol_serre|graine_tomate][$etape = 2]] [["Type d'arrosage : " + $arrosage_serre|graine_tomate][$etape = 3]] [["Eclairage : " + $eclairage_serre|graine_tomate][$etape = 4]] [["Température : " + $temperature_serre|graine_tomate][$etape = 5]] [["Type d'air : "+ $air_serre|graine_tomate][$etape = 6]] <button class="manip" data-passage="agenda" data-setter="$agenda to 'germination'; $duree to 7">Attendre 7 jours et observer le résultat.</button>\ <<elseif $etape == 2>>\ [[Placer la graine dans de la terre|graine_tomate][$sol_serre = "terre"; $etape = 1]] [[Placer la graine dans du coton.|graine_tomate][$sol_serre = "coton"; $etape = 1]] <<elseif $etape == 3>>\ [[Ne pas arroser la graine.|graine_tomate][$arrosage_serre = "ne pas arroser"; $etape = 1]] [[Arroser la graine modérément avec de l'eau minéralisée.|graine_tomate][$arrosage_serre = "arrosage avec de l'eau minéralisée"; $etape = 1]] [[Arroser la graine abondamment : les graines baignent dans l'eau.|graine_tomate][$arrosage_serre = "arrosage abondant avec de l'eau minéralisée"; $etape = 1]] <<elseif $etape == 4>>\ [[Mettre la graine à la lumière.|graine_tomate][$eclairage_serre = "lumineux"; $etape = 1]] [[Mettre la graine à l'obscurité.|graine_tomate][$eclairage_serre = "obscure"; $etape = 1]] <<elseif $etape == 5>>\ [[Régler la température à 4°C.|graine_tomate][$temperature_serre = "4°C"; $etape = 1]] [[Régler la température à 8°C.|graine_tomate][$temperature_serre = "8°C"; $etape = 1]] [[Régler la température à 19°C.|graine_tomate][$temperature_serre = "19°C"; $etape = 1]] [[Régler la température à 35°C.|graine_tomate][$temperature_serre = "35°C"; $etape = 1]] <<elseif $etape == 6>> [[Injecter de l'air avec dioxygène et dioxyde de carbone.|graine_tomate][$air_serre = "air complet"; $etape = 1]] [[Injecter de l'air sans dioxyde de carbone dans la serre.|graine_tomate][$air_serre = "air sans dioxyde de carbone"; $etape = 1]] [[Injecter de l'air sans dioxygène dans la serre.|graine_tomate][$air_serre = "air sans dioxygène"; $etape = 1]] //NOTE : L'air est injecté au début de l'expérience seulement.// <</if>>\ <<include auteur>>
<img src="data:image/png;base64,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">
<img src="data:image/png;base64,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">
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<<include menu>>\ <<if $etape == 3>>\ <div id="Layer1" style="position:relative; left:60px; top:0px; z-index:0"><<include img_petiole>><<if $petale == "avec">><div id="Layer2" style="position:absolute; left:0px; top:0px; z-index:2"><<include img_petale>></div><</if>><<if $etamine == "avec">><div id="Layer2" style="position:absolute; left:0px; top:0px; z-index:3"><<include img_etamine>></div><</if>><<if $pistil== "avec">><div id="Layer2" style="position:absolute; left:0px; top:0px; z-index:4"><<include img_pistil>></div><</if>></div>\ <<else>>\ <center><div id="Layer1" style="position:relative; left:0px; top:0px; z-index:1"> <<if $petale =="avec">><<include img_avec_fleur>><<else>><<include img_plante_sans_petale>><</if>>\ <<if $nombre_plante == "avec une autre plante de tomate">><<include img_avec_fleur>>\ <<elseif $nombre_plante == "avec une plante de moutarde">><<include img_moutarde>><</if>>\ <<if $bourdon == "avec">><div id="Layer2" style="position:absolute; left:135px; top:80px; z-index:2"><<if $nombre_plante == "avec une autre plante de tomate">><<include img_bourdon_pollinise>><<else>><<include img_bourdon_immobile>><</if>></div><</if>></div></center>\ <</if>>\ <<if $etape == 1>>\ <blockquote>Vous pouvez modifier seulement les fleurs de la plante de gauche.</blockquote>\ [["Plante " + $nombre_plante|fleur_tomate][$etape = 2]] [["Serre : " + $bourdon + " bourdons."|fleur_tomate][$etape = 4]] <<if $nombre_plante is "seule">>\ [["Fleurs : " + $petale + " pétales, " + $etamine + " étamines et " + $pistil + " pistil."|fleur_tomate][$etape = 3]]<<else>>\ [["Fleurs de gauche : " + $petale + " pétales, " + $etamine + " étamines et " + $pistil + " pistil."|fleur_tomate][$etape = 3]] <</if>>\ <<if $nombre_plante is "seule">><button class="manip" data-passage="agenda" data-setter="$agenda to 'fruit'; $duree to 15">Cultiver la plante pendant 15 jours.</button><<else>><button class="manip" data-passage="agenda" data-setter="$agenda to 'fruit'; $duree to 15">Cultiver les plantes pendant 15 jours.</button><</if>>\ <<elseif $etape == 2>>\ [[Placer la plante seule dans la serre.|fleur_tomate][$etape = 1; $nombre_plante = "seule"]] [[Placer la plante avec une autre plante de tomate dans la serre.|fleur_tomate][$etape = 1; $nombre_plante = "avec une autre plante de tomate"]] [[Placer la plante avec une plante de moutarde dans la serre.|fleur_tomate][$etape = 1; $nombre_plante = "avec une plante de moutarde"]]\ <<elseif $etape == 3>>\ //On remarque une fine "poussière" orange sur les étamines.// <<if $choix1 == 0>>[[Enlever les pétales.|fleur_tomate][$choix1 = 1; $petale = "sans"]]<<else>><div class="button_off">Pétales enlevées.</div><</if>> <<if $choix2 == 0>>[[Enlever les étamines.|fleur_tomate][$choix2 = 1; $etamine = "sans"]]<<else>><div class="button_off">Etamines enlevées.</div><</if>> <<if $choix3 == 0>>[[Enlever le pistil.|fleur_tomate][$choix3 = 1; $pistil = "sans"]]<<else>><div class="button_off">Pistil enlevé.</div><</if>> <<if $nombre_plante is "seule">>[[J'ai terminé de modifier les fleurs.|fleur_tomate][$etape = 1]]<<else>>[[J'ai terminé de modifier les fleurs de la plante de gauche.|fleur_tomate][$etape = 1]]<</if>>\ <<elseif $etape == 4>>\ [[Ajouter des bourdons dans la serre.|fleur_tomate][$etape = 1; $bourdon = "avec"]] [[Retirer les bourdons de la serre.|fleur_tomate][$etape = 1; $bourdon = "sans"]] <</if>>\ <<include auteur>>
<img 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" 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">
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">
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">
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dw6YrXa+1u9NWcq3+nqa12zoWjrlyNWiAefMwLI4ZyhH7HCpvt33PpaTur0a1PixgX990cOdj3417gbO+o9hxo/X2/y+dZuKNpqH7FpePA5I4Aczhn6kSu8umxhfnJsytZp6bOtVnNE0As5XHatru3o6VNtdQ+uv6nk90EvwAMNQQA5GCKG4DaxrPyquEgtbk1aQsbPpqRcYLOMsgb0x2yGdjf4g8guR4f3YMOn/9Vl77z7ucU7jga3e55mFALIwShJBLmPn24pGDvKGrEmLWHy0smjp8RbwyODIoh+Z5+vvrW6r7695tnTvm0P83czgxycgR6HHAwURrBbWb39J+PCfZ414xIn3TZp9HkBCWLwjaHb3uGrbTnS0dTb+FKMNfLJx/P/cCrYPfM84xBADsbJYkQ6+dn2JRNNYdp9qbHj/y45Lj0m1hpvModb/Ko1+Itkm7sb3XWtRxu6Bzo32dtqn9u8fF+/Xw/hsHQEkIN0kfnf8C933jmpx9l9Y2LU6AWR4bbZsbbEUUlRY8Jtlmjt+75JOfgV6YaOY66GtroPB9z2X+9Pan599xW73f53wQ3ZCCAH2RIbZr+3/e7yiNGJqVMGnK4sW3jUVTZrdL413DomOiLOFBsRZ7ZZY0yRZps24HZo/QN9nj5nT1/fQI+7z9lt6epve7XfOfCb5xe/8ukwy3NNQgLIQcLQAmrZp5lW7ShMNLm9aWGaJcscFj7dYrb+UDOZZnh93mSTZmr1ad4v3R53lcfrrnJ5XUdNHk/lxiM7z2j8TcyA0Mt2GTnIllgQ+x38o7uV5+eGJ3RMDrdGucMHLC6T1Wn2DcSFu52tPd6MDM299vLdHs3EV6ODiF2aRyEHaaKiUQiIJYAcxPKmGgSkIYAcpImKRiEglgByEMubahCQhgBykCYqGoWAWALIQSxvqkFAGgLIQZqoaBQCYgkgB7G8qQYBaQggB2miolEIiCWAHMTyphoEpCGAHKSJikYhIJYAchDLm2oQkIYAcpAmKhqFgFgCyEEsb6pBQBoCyEGaqGgUAmIJIAexvKkGAWkIIAdpoqJRCIglgBzE8qYaBKQhgBykiYpGISCWAHIQy5tqEJCGAHKQJioahYBYAshBLG+qQUAaAshBmqhoFAJiCSAHsbypBgFpCCAHaaKiUQiIJYAcxPKmGgSkIYAcpImKRiEglgByEMubahCQhgBykCYqGoWAWALIQSxvqkFAGgLIQZqoaBQCYgkgB7G8qQYBaQggB2miolEIiCWAHMTyphoEpCGAHKSJikYhIJYAchDLm2oQkIYAcpAmKhqFgFgCyEEsb6pBQBoCyEGaqGgUAmIJIAexvKkGAWkIIAdpoqJRCIglgBzE8qYaBKQhgBykiYpGISCWAHIQy5tqEJCGAHKQJioahYBYAshBLG+qQUAaAshBmqhoFAJiCSAHsbypBgFpCCAHaaKiUQiIJYAcxPKmGgSkIYAcpImKRiEglgByEMubahCQhgBykCYqGoWAWALIQSxvqkFAGgLIQZqoaBQCYgkgB7G8qQYBaQggB2miolEIiCWAHMTyphoEpCGAHKSJikYhIJYAchDLm2oQkIYAcpAmKhqFgFgCyEEsb6pBQBoCyEGaqGgUAmIJIAexvKkGAWkIIAdpoqJRCIglgBzE8qYaBKQhgBykiYpGISCWAHIQy5tqEJCGAHKQJioahYBYAshBLG+qQUAaAshBmqhoFAJiCSAHsbypBgFpCCAHaaKiUQiIJYAcxPKmGgSkIYAcpImKRiEglgByEMubahCQhgBykCYqGoWAWALIQSxvqkFAGgLIQZqoaBQCYgkgB7G8qQYBaQggB2miolEIiCWAHMTyphoEpCGAHKSJikYhIJYAchDLm2oQkIYAcpAmKhqFgFgCyEEsb6pBQBoCyEGaqGgUAmIJIAexvKkGAWkIIAdpoqJRCIglgBzE8qYaBKQhgBykiYpGISCWAHIQy5tqEJCGAHKQJioahYBYAshBLG+qQUAaAshBmqhoFAJiCSAHsbypBgFpCCAHaaKiUQiIJYAcxPKmGgSkIfC/fp52RrlkLP8AAAAASUVORK5CYII=">
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">
<<include menu>><<set $erreur_manipulation to random(1,10)>>\ <center>Résultat 15 jours après</center>\ <<if $nombre_plante == "avec une plante de moutarde">>\ <center><<include img_avec_fleur>><<include img_moutarde>></center> <<elseif $nombre_plante == "seule">>\ <center><<include img_avec_fleur>></center>\ <<elseif $nombre_plante == "avec une autre plante de tomate">>\ <<if $erreur_manipulation == 1 or $bourdon == "sans">>\ <<if $petale =="avec">><<set $img = "img_avec_fleur">><<else>><<set $img = "img_plante_sans_petale">><</if>>\ <<set $img2 = "img_avec_fleur">>\ /*ci-dessous est codé une condition où les bourdons ne repère pas les fleurs à cause de l'absence des pétales*/ <<elseif $petale == "sans" and $erreur_manipulation <= 3 >>\ <<set $img = "img_plante_sans_petale">>\ <<set $img2 = "img_avec_fleur">>\ <<else>> <<if $etamine == "avec">><<set $img2 = "img_avec_fruit">><<else>><<set $img2 = "img_avec_fleur">><</if>>\ <<if $pistil == "avec">><<set $img = "img_avec_fruit">><<elseif $petale == "sans">><<set $img = "img_plante_sans_petale">><<else>><<set $img = "img_avec_fleur">><</if>>\ <</if>>\ <center><<include $img>><<include $img2>></center>\ <</if>>\ <<if $nombre_plante == "avec une autre plante de tomate" and ($img=="img_avec_fruit" or $img2=="img_avec_fruit")>>[[Récupérer les graines dans les tomates.|graine_tomate]]<</if>> <blockquote>''CONDITIONS EXPÉRIMENTALES'' La plante <<if $nombre_plante!="seule">>de gauche<</if>> a des fleurs <<print $petale>> pétales, <<print $etamine>> étamines et <<print $pistil>> pistil. <<if $nombre_plante neq "seule">>La plante de droite a des fleurs non modifiées.<</if>> La serre <<if $bourdon == "avec">>contient des bourdons<<else>>ne contient pas de bourdon<</if>>. </blockquote>\ <<include auteur>>
<<include menu>>\ <<if $defi == "lamecassee" and $hauteur == 1>><<set $defi ="off">><blockquote>BRAVO : Tu as réussi le défi.</blockquote><<remember $lamecassee = "succès">><</if>>\ <<nobr>><center> <div id="Layer1" style="position:relative; left:0px; top:0px; z-index:1"> <<if $hauteur == 4>><<include preparation_microscopique>><</if>> <<if $hauteur >= 6 or $hauteur == 2>><div style="filter:blur(8px)"><<include preparation_microscopique>></div><</if>> <<if $hauteur == 3 or $hauteur == 5>><div style="filter:blur(4px)"><<include preparation_microscopique>></div><</if>> <<if $hauteur == 1>><div style="filter:blur(8px)"><<include preparation_microscopique>></div><</if>> <div id="Layer2" style="position:absolute; left:120px; top:0px; z-index:4"><<if $hauteur neq 1>><<include img_champs_oculaire>><<else>><<include img_champs_oculaire_cassee>><</if>> <div id="Layer3" style="position:absolute; left:4px; top:212px; z-index:5"><span class="echelle">$echelle</span></div></div></div></center><<endnobr>>\ <<if $hauteur > 1 and $hauteur < 7>>\ [[Monter les objectifs.|microscopie][$hauteur += 1]]\ <<else>>\ <div class="button_off">Monter les objectifs.</div>\ <</if>> <<if $hauteur > 1>>\ [[Baisser les objectifs.|microscopie][$hauteur -=1]]\ <<else>>\ <div class="button_off">Baisser les objectifs.</div>\ <</if>>\ <<if $etape == "sang">>\ [[Retour.|preparation_sang][$hauteur to either (2,3,5); $etape =0]]\ <<elseif $etape == "bacterie">>\ [[Retour.|bacteries][$etape = 1; $hauteur to either (2,3,5)]]\ <<elseif $etape == "spermatozoide">>\ [[Retour.|souris_adulte][$etape = 0; $hauteur to either (2,3,5)]]\ <</if>>\ <<if $hauteur is 4 and $etape is "spermatozoide" and $spz is "img_sperme_sain">>[[Faire s'accoupler le mâle.|transfert][$etape = 0; $noyau="blanche"; $cytoplasme="blanche"; $membrane="blanche"]]<</if>>\ <<include auteur>>
<<silently>><<include img_globule_rouge>><</silently>> <<for _i to 0; _i lt 12; _i++>>\ <<set $imgLefta to random(40,200); $imgTopa to random(10,200)>>\ <<print $imag + " style='position: absolute; transform:rotate(" + random(0,360) + "deg); left: " + $imgLefta + "px; top: " + $imgTopa + "px;' >">>\ <</for>>
<<silently>> /*Pour le bon déroulement du logiciel, les variables doivent être réinitialisées à chaque nouvelle expérience.*/ /*Pour la navigation dans les menu*/ <<set $etape = 0>><<set $choix1 = 0>><<set $choix2 = 0>><<set $choix3 = 0>><<set $choix4 = 0>><<set $choix5 = 0>><<set $r1 = 0>><<set $r2 = 0>><<set $r3 = 0>><<set $r4 = 0>><<set $r5 = 0>><<set $r6 = 0>><<set $r7 = 0>><<set $r8 = 0>> /*Pour tous les cobayes*/ <<set $cobaye = 0>><<set $CurDate = new Date(Date.now())>> /*Pour le microscope*/ <<set $hauteur to either(2,3,5)>><<set $lame1 = "rien">><<set $lame2 = "rien">><<set $lame3 = "rien">> /*au cas où un élève clique directement sur une icône cobaye, il faut définir les paramètres expérimentaux par défaut*/ <<set $sexe="mâle"; $injection = "non"; $ablation = "non"; $ration = "normale"; $microbiote = "microbiote d'une souris saine">> /* pour la souris */ /* pour la plante, les paramètres sont définis dans le passage menu */ <<set $contenu ="souris"; $temperature=20; $eclairage="lumineux"; $outil ="aucune"; $mesure=0; $outil_ecran ="">> /* pour le biolab */ <<set $temperature_culture_microbienne = 37; $antibiotique = "non"; $milieu_culture_microbienne = "gélose avec sang"; $lampe_culture_microbienne = "lampe classique"; $amoxicilline = ""; $penicilline = ""; $vancomycine = ""; $list_antibio ="aucun">> /* pour la bactérie B1 */ <<endsilently>>
Ci-dessous sont recensés toutes les variables et leurs valeurs possibles : POUR LA SOURIS $injection : non / liquide physiologique / bactérie B1 / bactérie B2 / bactérie B1 morte / $ablation : non / oui $reaction : inerte / entend / entend_bouge $bruit : oui / non $etat : vivante / morte $phagocyte : entre 0 et 8000 $lymphocyte : entre 0 et 8000 $anticorps : entre 0,15 et 0,8 $charge_microbienne : 0 / 100 $jour : 0 / 6 $paratope : B (bactérie B1) / T (bactérie B2) / V (virus) $epitope : B $microbiote : normale / aucun / obese POUR LA BACTERIE $etape_culture_microbienne : intiale / finale $temperature_culture_microbienne : 25 / 37 / 39 / 90 $milieu_culture_microbienne : gélose avec glucose / gélose avec sang $antibiotique : oui / non $pastille : amoxicilline / penicilline / vancomycine $lampe_culture_microbienne : lampe classique / lampe à UV $colonie_bacterie : img_petite_colonie_bacterie / img_moyenne_colonie_bacterie / img_grande_colonie_bacterie $lame : img_bacteries_mobiles / img_bacteries_mortes / img_bacteries_agglutinees
<center>\ <div id="Layer1" style="position:relative; left:0px; top:0px; z-index:1"><<include img_fond_microscope>></div>\ <div id="Layer2" style="position:absolute; left:120px; top:0px; z-index:2"><<if $lame1 neq "rien">><<include $lame1>><</if>></div>\ <div id="Layer3" style="position:absolute; left:120px; top:0px; z-index:3"><<if $lame2 neq "rien">><<include $lame2>><</if>></div>\ <div id="Layer4" style="position:absolute; left:120px; top:0px; z-index:4"><<if $lame3 neq "rien">><<include $lame3>><</if>></div>\ </center>\
<svg width="240" heigth="240" viewBox="0 0 120 120" xmlns="http://www.w3.org/2000/svg" version="1.1"><circle cx = "60" cy = "60" r = "60" fill = "#ccccccff"></svg>\
<<silently>><<include img_phago>><</silently>> <<set $imgLeft to random(40,80); $imgTop to random(40,80)>>\ <<print $imageC + " style='position: absolute; transform:rotate(" + random(0,360) + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\ <<set $imgLeft to random(100,160); $imgTop to random(100,160)>>\ <<print $imageC + " style='position: absolute; transform:rotate(" + random(0,360) + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\
<<include menu>><<if $init>=1>><<include modele_immuno>><</if>>\ <<if $defi == "vaccin" and $injection == "bactérie B1 morte de la boîte">><blockquote>BRAVO : tu as réussi le défi. Injectez la bactérie B1 à la souris pour vérifier qu'elle est immunisée.</blockquote><<set $defi ="off">><<remember $vaccin = "succès">><</if>>\ <center>Souris adulte $sexe <<if $etat == "morte">>morte $day jours après l'injection<</if>> <<include souris>>\ <<if $ablation == "moelle épinière coupé au cou">>La souris ne peut plus bouger ses pattes avants et arrières.<<elseif $ablation == "moelle épinière coupé au dos">>La souris ne peut plus bouger ses pattes arrières.<<elseif $ablation == "nerf cochléaire">>La souris peut encore bouger son cou.<</if>>\ </center>\ <<if $etape == 0>>\ [[Analyser le sang.|analyse_sang][$bruit="non"; $init=0]] [[Mesurer la taille et la masse de la souris.|souris_adulte][$etape = 2; $bruit="non"; $init=0]] <<if $etat == "morte">><div class="button_off">Injecter un produit dans le sang.</div><<elseif $injection == "non">>[[Injecter un produit dans le sang.|souris_adulte][$etape = 1; $bruit="non"; $init=0]]<<elseif $injection2 == "non">>[[Injecter un SECOND produit dans le sang.|souris_adulte][$etape = 1; $bruit="non"; $init=0]]<<else>><div class="button_off">Injecter un SECOND produit dans le sang.</div><</if>> <<if $etat == "morte">><div class="button_off">Faire du bruit derrière la souris. </div><<else>>[[Faire du bruit derrière la souris.|souris_adulte][$bruit = "oui"; $init=0]]<</if>> <<if $sexe is "mâle" and $etat is "vivante">>[[Observer au microscope le sperme de la souris.|microscopie][$lame1 = $spz; $etape = "spermatozoide"; $echelle ="0,1 mm"; $bruit="non"; $init=0]]<<elseif $sexe is "femelle" and $etat is "vivante">>[[Vérifier si la souris ovule.|souris_adulte][$etape = 3; $bruit="non"; $init=0]]<</if>> \ <<elseif $etape == 1>> [[Injecter des bactéries B1 (1) et attendre 3 semaines.|agenda][$agenda = "souris_adulte"; $duree = 21; $injection2 = "bactérie B1"; $etape =0; $init=1]]\ [[Injecter des bactéries B2 (2) et attendre 3 semaines.|agenda][$agenda = "souris_adulte"; $duree = 21; $injection2 = "bactérie B2"; $etape =0; $init=1]] [[Ne rien injecter et attendre 3 semaines.|agenda][$agenda = "souris_adulte"; $duree = 20; $injection2 = "aucune"; $etape =0; $init=1]] [[Ne rien faire.|souris_adulte][$etape =0; $injection2 ="non"; $etape =0, $init=1]] // 1 : La bactérie B1 est une bactérie mortelle. 2 : La bactérie B2 est différente de la B1 mais également mortelle.// <<elseif $etape == 2>> <<include mesure>> <<elseif $etape == 3>> <center>Un ''test d'ovulation'' est réalisé avec une bandelette-test.</center> <div id="Layer1" style="position:relative; left:0px; top:0px; z-index:1"><<include img_test_ovulation>>\ <div id="Layer2" style="position:absolute; left:0px; top:0px; z-index:2"><<if $ovulation is "non">><<include img_test_negatif>><<else>><<include img_test_positif>><</if>></div></div>\ <center>//Un trait : test négatif. Deux traits : test positif//</center> <<if $ovulation is "oui" and $ablation is "non">>[[Faire s'accoupler la femelle.|transfert][$etape = 0; $noyau="blanche"; $cytoplasme="blanche"; $membrane="blanche"]]<</if>> [[Retour|souris_adulte][$etape = 0]]\ <</if>>\ <blockquote>\ ''CONDITIONS EXPÉRIMENTALES'' <<if $injection2 == "non">>Produit injecté dans le sang : <<print $injection>><<else>>\ Première injection : <<print $injection>> Seconde injection 3 semaines plus tard : <<print $injection2>><</if>> Organe retiré : <<print $ablation>> Type de microbiote : <<print $microbiote>> Ration alimentaire : <<print $ration>> </blockquote> <<include auteur>>
[[Retirer le microbiote de la souris|souris_juvenile][$microbiote = "pas de microbiote" ; $etape = 0]] [[Remplacer le microbiote de la souris par celui d'un humain obèse. |souris_juvenile][$microbiote = "microbiote d'un humain obèse" ; $etape = 0]] [[Remplacer le microbiote de la souris par celui d'un humain mince. |souris_juvenile][$microbiote = "microbiote d'un humain mince" ; $etape = 0]] [[Laisser le microbiote de la souris. |souris_juvenile][$microbiote = "microbiote d'une souris saine" ; $etape = 0]] //Définition : Le microbiote est l'ensemble des bactéries présentes dans le tube digestif (intestin grêle et gros intestin).//
<<include menu>><<if $init >= 1>><<include init_souris>><</if>><<include modele_poids_taille>><<silently>><<if $injection == "molécule d'hypophyse" and $ablation neq "hypophyse">><<set $injection = "non">><</if>> <</silently>>\ <center>\ <<if $etape == 2>>\ <<include img_anatomie_souris>>\ <<else>>\Souris juvénile $sexe <<include img_souriceau_blanc>>\ <</if>>\ </center>\ <<if $etape == 0>>\ [["Injecter un produit dans le sang : " + $injection|souris_juvenile][$etape = 1; $init=0]] [["Retirer un organe : " + $ablation|souris_juvenile][$etape = 2; $init=0]] [["Nourrir la souris : ration " + $ration|souris_juvenile][$etape = 4; $init=0]] [["Modifier le microbiote : " + $microbiote|souris_juvenile][$etape = 3; $init=0]] [[Mesurer la taille et la masse de la souris juvénile|souris_juvenile][$etape = 5; $init=0]] <button class="manip" data-passage="agenda" data-setter="$agenda to 'souris_adulte'; $etape to 0; $duree to 21; $cobaye to 'souris adulte'; $init=1">Nourrir et élever la souris pendant 3 semaines.</button> <button class="manip" data-passage="preparation_sang" data-setter="$etape to 0; $cobaye to 'sang'; $init=0; $echelle to '0,005mm'">Expérimenter sur du //sang// de différentes souris.</button>\ <<elseif $etape == 1>>\ <<include injection>>\ <<elseif $etape == 2>>\ <<include ablation>>\ <<elseif $etape == 3>>\ <<include microbiote>>\ <<elseif $etape == 4>>\ <<include ration_alimentaire>>\ <<elseif $etape == 5>> <<include mesure_juvenile>>\ <</if>> <<include auteur>>
[[Aucun|souris_juvenile][$etape =0; $ablation = "non"]] <div class="button_off">A : cerveau</div> [[B : hypophyse|souris_juvenile][$etape =0 ; $ablation = "hypophyse"; $hypophyse = "sans"; $injection = "non"]] [[C : moelle épinière - section au niveau du cou|souris_juvenile][$etape =0 ; $ablation = "moelle épinière coupé au cou"; $reaction = "entend"]] [[D : moelle épinière - section au niveau du dos|souris_juvenile][$etape =0 ; $ablation = "moelle épinière coupé au dos"]] [[E : nerf cochléaire (relié à la cochlée)|souris_juvenile][$etape =0 ; $ablation = "nerf cochléaire"; $reaction = "inerte"]] <div class="button_off">F : oreille - cochlée</div> <div class="button_off">G : muscles du cou</div> [[H : nerf spinal (relié au muscle du cou)|souris_juvenile][$etape =0 ; $ablation = "nerf spinal"; $reaction = "entend"]] [[I : Moelle osseuse (destruction par radiation).|souris_juvenile][$etape =0 ; $ablation = "moelle osseuse"]] <<if $sexe is "mâle">>[[J : nerf relié aux testicules|souris_juvenile][$etape =0 ; $ablation = "nerf relié aux testicules"]] <div class="button_off">K : testicules</div><<else>>[[J : nerf relié aux ovaires|souris_juvenile][$etape =0 ; $ablation = "nerf relié aux ovaires"]] <div class="button_off">K : ovaires</div><</if>>
>Taille de la souris = <<print $taille_souris>> cm >Masse de la souris = <<print $poids_souris>> g >Évolution de la masse en 3 semaines = + <<print ($poids_souris - $poids_juvenile).toFixed(1)>> g [[Retour|souris_adulte][$etape = 0]]\
[[Donner une PETITE ration alimentaire : 2 g par jour|souris_juvenile][$etape =0; $ration = "petite"]] [[Donner une ration alimentaire NORMALE : 4 g par jour|souris_juvenile][$etape =0; $ration = "normale"]] [[Donner une GRANDE ration alimentaire : 6 g par jour|souris_juvenile][$etape =0; $ration = "grande"]]
<img src="data:image/png;base64,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">
<<silently>>\ <<if $cobaye == "souris adulte">> <<if $poids_souris <= 18>>\ <<set $corps = "img_corps_maigre">>\ <<elseif $poids_souris >= 26>>\ <<set $corps = "img_corps_obese">>\ <<else>> <<set $corps = "img_corps_normal">>\ <</if>>\ \ <<if $bruit == "oui">>\ <<timed 0.2s>><<replace "#bruit">><<include img_bruit>><</replace>> <<next 2s>><<replace "#bruit">><</replace>><</timed>> <<if random(1,10)==1>>/* erreur d'expérience */ <<else>> <<if $ablation == "nerf cochléaire">>\ <<set $tete = "img_tete_souris">>\ <<elseif $ablation == "moelle épinière coupé au cou" or $ablation == "nerf spinal">>\ <<timed 0.2s>><<replace "#tete">><<include img_souris_entend>><</replace>>\ <<next>><<replace "#tete">><<include img_souris_tete>><</replace>>\ <<next>><<replace "#tete">><<include img_souris_entend>><</replace>>\ <<next>><<replace "#tete">><<include img_souris_tete>><</replace>>\ <</timed>>\ <<else>>\ <<timed 0.2s>><<replace "#tete">><<include img_souris_entend>><</replace>>\ <<next>><<replace "#tete">><<include img_souris_tete>><</replace>>\ <<next>><<replace "#tete">><<include img_souris_entend>><</replace>>\ <<next>><<replace "#tete">><<include img_souris_tete>><</replace>>\ <<next>><<replace "#tete">><<include img_souris_bouge>><</replace>>\ <<next 1s>><<replace "#tete">><<include img_souris_tete>><</replace>>\ <</timed>>\ <</if>>\ <</if>>\ <</if>>\ <<else>> <<set $corps = "img_corps_normal">>\ <</if>> <<endsilently>>\ <<if $etat == "vivante">>\ <div id="Layer1" style="position:relative; left:0px; top:0px; z-index:1">\ <<include $corps>>\ <div id="Layer2" style="position:absolute; left:120px; top:0px; z-index:2">\ <span id="tete"><<include img_souris_tete>></span>\ <div id="Layer3" style="position:absolute; left:120px; top:0px; z-index:2">\ <span id="bruit"></span>\ </div></div>\ </div>\ <<else>>\ <<include img_souris_morte>>\ <</if>>\
<img src="data:image/png;base64,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">
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">
<<silently>> <<set $erreur = random (1,8)>> <<if $ablation neq "hypophyse">> <<set $taille_penis = randomFloat (1.9,2.1).toFixed(1)>> <<set $poids_vesicule = random (99,101)>> <<if $erreur == 1>><<set $spz = "img_sperme_anormal">><<else>><<set $spz = "img_sperme_sain">><</if>> <<if $erreur == 1>><<set $ovulation="non">><<else>><<set $ovulation="oui">><</if>> <<elseif $ablation == "hypophyse" and $injection == "molécule d'hypophyse">> <<set $spz = "img_sperme_sain">> <<set $taille_penis = randomFloat (1.9,2.1).toFixed(1)>> <<set $poids_vesicule = random (101,120)>> <<set $ovulation ="oui">> <<else>> <<set $taille_penis = randomFloat (0.9,1.2).toFixed(1)>> <<set $poids_vesicule = random (15,25)>> <<set $spz = "rien">> <<set $ovulation ="non">> <</if>> /* poids */ <<if $ration == "normale">> <<if $microbiote == "pas de microbiote">><<set $poids_souris = ((random(46,60)+random(46,60)+random(46,60))/10)>><</if>> */entre 14 et 18 */ <<if $microbiote == "microbiote d'une souris saine" or $microbiote == "microbiote d'un humain mince">><<set $poids_souris = ((random(63,83)+random(63,83)+random(63,83))/10)>><</if>> */entre 19 et 25 */ <<if $microbiote == "microbiote d'un humain obèse">><<set $poids_souris = ((random(96,116)+random(96,116)+random(96,116))/10)>><</if>> */entre 29 et 35 */ <<if $ablation == "hypophyse">><<set $poids_souris -= 3; $taille_souris -= 2>><</if>> <<if $injection == "bactérie B1">><<set $poids_souris -= 1>><</if>> <<if $sexe is "femelle">><<set $poids_souris -= 2>><</if>> <<elseif $ration == "petite">> <<if $microbiote == "pas de microbiote">><<set $poids_souris = ((random(43,56)+random(43,56)+random(43,56))/10)>><</if>> */entre 13 et 17 */ <<if $microbiote == "microbiote d'une souris saine" or $microbiote == "microbiote d'un humain mince">><<set $poids_souris = ((random(53,63)+random(53,63)+random(53,63))/10)>><</if>> */entre 16 et 19 */ <<if $microbiote == "microbiote d'un humain obèse">><<set $poids_souris = ((random(60,70)+random(60,70)+random(60,70))/10)>><</if>> */entre 18 et 21 */ <<if $injection == "bactérie B1">><<set $poids_souris -= 1>><</if>> <<if $sexe is "femelle">><<set $poids_souris -= 2>><</if>> <<elseif $ration == "grande">> <<if $microbiote == "pas de microbiote">><<set $poids_souris = ((random(63,76)+random(63,76)+random(63,76))/10)>><</if>> */entre 19 et 23 */ <<if $microbiote == "microbiote d'une souris saine" or $microbiote == "microbiote d'un humain mince">><<set $poids_souris = ((random(80,100)+random(80,100)+random(80,100))/10)>><</if>> */entre 24 et 30 */ <<if $microbiote == "microbiote d'un humain obèse">><<set $poids_souris = ((random(110,130)+random(110,130)+random(110,130))/10)>><</if>> */entre 34 et 40 */ <<if $injection == "bactérie B1">><<set $poids_souris -= 1>><</if>> <<if $sexe is "femelle">><<set $poids_souris -= 2>><</if>> <</if>> <<if $microbiote == "pas de microbiote">> <<set $lymphocyte to random (3900,4100)>> <<set $anticorps to randomFloat (0.13,0.15).toFixed(2)>> <<set $paratope to either ("B","T","T","T","T","T")>> <</if>> <</silently>>\
<<silently>> <<if $time !=0>> <<if $temperature ==20 and $hygrometrie ==70 and $eclairage =="lumineux">> <<set $preferendum1 to random(1,3); $preferendum2=(4-$preferendum1)>> <<elseif $temperature ==10>> <<set $preferendum1 to random(0,1); $preferendum2=(4-$preferendum1)>> <<elseif $temperature ==25>> <<set $preferendum1 to random(3,4); $preferendum2=(4-$preferendum1)>> <<elseif $hygrometrie ==50>> <<set $preferendum1 to random(3,4); $preferendum2=(4-$preferendum1)>> <<elseif $eclairage == "obscure">> <<set $preferendum1 to random(0,1); $preferendum2=(4-$preferendum1)>> <<else>> <<set $preferendum1 to random(1,3); $preferendum2=(4-$preferendum1)>> <</if>> <</if>> <</silently>>\
<img src="data:image/png;base64,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">
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">
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38OJT8Cn1ic0sk4sqHmAZrNLdPGZJKkLv0cmEwBehSwKa+pbsPK2DAygBAEpBBN3ee7WvrsJ7D2+lshCwqOvPAcsj/bDcFrwEw7QIoRWqoFzGELkgXkCyDyJtBYx0FSAEUCamp5CAJg6IAkA6IEJoGLCogOGTmxDtGOm9C25ZNo7NiEYG0jM9KqtZQ1qJTesf/kfpzZ+3MkT70EbfgY0zkFzkY+a2N8xEIwzCGZsDGetGFJHGzLRs4CrMLUzEkAJzs/J+B4hWPXbNM299A9uH7tx6CqGZzY9TT0PQfAGTM8BgWKLMOGrQO8QmoqB9uwYTENwQZvAAEbEHhAp52tPOBTOCxp4ZnKUPxeywZUSwAXbIbSdA1aNt2F9Ts+DZFor8JStqCSdd755r/g4PPfhzz0OkQzDY4ZQsBAj4nuLhN2lIM1BcALCDEeXDEHGTO4z0NhajbyvRYoY4/odwwjIwH4O3jwNJcXivbIPdi+9uMYjffh9M6fAIfPgLPOK7j03WbKRn7EIicA5EYeguf85x0dms3153ViStCbBZZ4mQmG4QELS5p5LG2nzNDF2wWkvK34wF1/hGv/zX3zXgKuBK7LFtRsagJ7nvoujvzvxzHWn4LmmN2wbBu8F5BqHchYlnJKIkFTv25DCDiGzsyiT1jgRA68D9DGLLaWz8mAMWVDoOV9iYNUL8H63U9hx9o70Tt8Ep1/9ySEzgHoIxb0KRscAU3eAZGDGAZsAzCSNig8QK7jwEsXd0eZqg0j7rRB8HNAxoLPBGIxR0WI1nIQfQLMpi24+YvfR0P7hqrTW8sW1JGzR/HUf7gfgyfehkDb6S8wVIpWPUkvPWXDTNrMuicQ5BrOEV+zlHdk30vYMDNg9wtNYchfuBtb23egZ+g4zj75Iwi9o1CHLQfEC7+fhKdpMylN0PNkqRVK8eWZ+fXvCJSxbFiqDcsg0W7DowKtzaQjeLDyk4/iw/f+IRQfnZlVPaVsQe0++Br++t/dBltSmU45W2E7S6dsmFmbSVia+vODFrufJCVbkKJpmFyeIpj0Iyk8a3RVSz3Cv/lpbFy6FecGT+Dsk09A6JvbKXsz20a6MIXCmjkboAUv8jb44IBuA0xnvkDimxkLZgLgbQ7hthrc880n0XHDx6uHUtLG7Jl7gMvo0ftPvon/9eW7kJwaBn+R7I0EhTpiQ4pwDEICkKZ/mpKnffPOjM0gEUhPZIbUu8G3V7ZgyX33omPJhvcEKlNPDRv6JElKUilIHeBgaSS1CwfuEKCWDYkkuN/xIJyXwjasLIeasBetW7bj3j97voxGa+FNLVtQx3tP4vlvfwHdx/ezw8tmupFmDi5IapLELIz6tEFDNxVBKB7MVPg/Le1rI466IIQAKcyB+1A7lt9zLztLqm+0Ez0/eXJ66jeSgBgCxDAHvmC505Svx21ok2RhFVrE2UyNkMmwo1MknbSpMBLkErPZz23NhhYnWHlIoQsMMQ1Y3hyF3LQaD/7lnoWPfhnVULagTo304ugzX4fWsxe9owmcG0lA1ZyDyd4x1RYsbTKmjDQZO2ASmFxSPE2zhXOhSLKRC8nMgkk5MehAZ+VIktHCKu9MyaQ/hAKwsmnYKQ2Cj4MYcu4j2JgqQRdN6UGOSXMykohII2UzeMltxQ5si/GsblIFhAC1yznucjbXGCUEDigymmMhLN3+eWz/rT8tI8wW3tSyBTU1MYzjOx9DTXwPJIHHWCKLYz1jGIpnkM7r7BhzKmTQkMTSkzZEn+MFoOmfAJVjHNMJaTo2Jmzwfo6BRzojwXUhMI6KYDOLni4yyATSjwuCj1QN8gBoQzbzIIgRzpGKbMnfOSjNoiUuE9DiFquDuCd1gyx/+pskLgN2RhEFDnVhH9a21iJvcFj/4A+x4vpbFz76ZVRD2YKaS07g+K7vwd/3C4S9AoPAMC0MTaTRPZTAUDyNiWQORgHYixlb5ORXh214W/mLGmXzHU8GZN55AUiCMx35AvhIT9UnHH2UPAL0f9KdyStB+iu9JALPQRQENNcFcM3yGBprAzjcm8a2r72IUP2y+TarrO8vW1C1fAbH//l/Qj7xFKKe86tDLIxPM5DMaBidyuDs0BT6x1IwZwGWJCt5AaQoSb4rG3Y303gi74KncW71k3YhCjy7muqCaKzxoyUWQm2Ids+a6NbqccPDT8IXqS9r8Obb+LIF1TR0nPjlz2Af+CHqFO3deik7FMKGppuYSqvoHU2ifyyJZFYHx9lMn02PUmA0oJARM9+em8P9LDrLBLKdJpQmHlLwnbEDxSpoolckAaIooD7qxarmGjREaWu3yIAlyUqqQzKrYarhFlz76T+B4g/NoQWVc0vZgkoQnH79F0i//G0s8eYLp49cfmB0w8RkOs/gTWZUBnJeN9m/6cqpxrRuqpt0EDBLTTHvwrRMpr4WXFBTgNLAMYNMFnn4FAkRvwcBv4SAR0Ys4kN9xA9Zmv2sKXreeEqFfc0DWPsrvwNJqY4zUKdf5nL1o9ID9B3bh+6//2O0+dKQxLlNrTOJIwhNyiRt0gG5dFkgOLN5A+kcgathKpNHJu9sRWFr7zOoLazOToNM07bA07RNuf0FKJLIpKLXI8JHfysSFIl+LxT0T1oiPS8xL/U2EKijKQuerV/Cqm33QqCwqyoqZStRaYwmBrvwxo8fRYd3lAFRyYXUmKGcBzUf/UO0XXcr249VTaWsQc1nU9j1Xz6HteJZ1ATPpy+vxAEklaVXjaDtrm+huWNT1UVQlTWoNB12vfUSjj37DayvzTG9rxILhTT2T6hINGzDjfd/Hd5gjQtquQ00DWL34Vdw8O++hhZ5Eo21IaavzjdtTyk/dzyZwzl+NT784LcRbVxeyk1dtLaVtUQt9gollBg4uR87//gONIQFtDfXIRr0QZHFadfOovXgIlTsJBGmdOwWcpqJ7kwQH3zgu2hcfX1FvYDz6bqKAJUeWM9nseuxe5Dv/Fdohg2/P4BwOMiADQcU+DzynF1Y8+nAK30vra6R62wylUUilUVGacbmBx5D28ZtLJlFtZaKAdUyDRz9xRPofO6rkO08VN2CxQkwORGaLcPrUdDaEEFLjDJHz9+VtdiAkKuMln+7BiZg6XlItsq2Va+6+zFc/8mHp7NdL3Y7SrX+igGVpsuBt1/Bmaf+PWqEDOLxceRyOcc/anMgV2ha4xi4S2pCaK6PIORX4PfIzJd5tQq1k/y19CLlVR3pnIZ4IouRySRsQ0dA0OGRAEkQkLADuP0/70Oksf1qNa9kv6eiQB0/dwynn/sjNHND4GwTiUQC8Xgc+Xy+kGyCAldsZHUwcC1ehuLxIhb2oaUhAr+XEvjSWpIT7UQOfievvzN+FzPQirHnTkShs4HPCbQqRHBRzKlpYjyRw3gig0Qqz/JZmWoOHEx4REARbLZiJUoiwuEwZG8QU6FrsfWLP4A3VFuyAF2thlUUqMnxARzf+aeoT74FnyI6YXWWBU3TkEwmkUqloOs6DEp8ZlLqSAuqYSOZA1IaLW/yzAAjN5dXkRHwK1BkCV5ZZKtMF24KpEEiMGnapqVYChohKUn15zQDqq4jp9LPdei6iYBHgF804REstl2aYkxJmouiCMWjoCYaRTAYgiAImMzoyLf/GjZ88iuQvbQ1trpLxYBKw5hLT+HorsfhP7cLUe+7t5OwBGi6DlVV2UWSliCmS1U1aCxzH1ncAG0aMNmuVsod5SydUtaUC4vzMtgOdDxdTmaU4kVbuFnInhMTzQqB6fF44PV6ncvnhUfxFM4acG4ayYpQtjyE1TfeXXXLpbO9khUFKkVUHd39NKz9f4UGv3nJqboobemACXbIBJN65yHWVA2qpjHJu5BC6oKiKAzM4iVJEiRRYtO8cxDGO/dpseVSLYL627+Opeu2upn/ynlz32zwEHzdh17GwK5voC2QYyFycy3n9UlHXXASqFHqH4PlhNI0lYFsUR6ggr56qfV2Np0rCmRZZhKUYJwNytnal8nrGBDasf4zj6GmaUXV+k5n9k1FSVR6sMRoP/Y+8Qg6lH6mW5ZbYVFSiTyGozdj+xceg+INlNsjLEp7Kw5U27Lwwn/9bSxXD6AmWH55mmja7x5TgWvuw43/9iuLMujlWGnFgUqDcOjFv0V67+Noj5UfqLQydTwZwobP/gUaV24sR6YWpc0VCepY70m88YP7cW2TUBbLpjNHlvTTbnEdtj/yRNVm7qt4q7/4gLnUBF7+3m9irXeY+UXLqYwkdejr7sOmX3cPWqtoY4oeztBU7PvpnyPW/zzC/vKa/s+M5LH009/D8o3byun9WvS2VuTUT5bz27ufQe7lP0NrXXmt6hwc9WLrQ0+gptld3694iUoPONx1GPse/xy2Li+fLSqUj+CwsQ4f//2/qrpdppcTyRUpUemhtVwWP/mD7bh1hc32y5dDOdU3AWXLl7D1U4+6Tv4LBqxiQaXp/xf//WHUjf2SxaCWeqF4gRfe6MGnvvMqaltWlXpzr3r7KhZU6smzB3fjyN88iM1rlpS8hEplVezp5fC5x/e7a/uzvAYVDSqdO7XzD7bghvYgS5lTqoXFKAwn4b3hEVx350Ol2sz3tV0VDaqh5bHvx19GZHwv6sKlmwKHVqNODuWx6feeQ6TJnfarxuFffFCKdOp89WlM/MtjaI0FS3b6z+Z19KEVW377b+AN172vkqtUv7yiJSodvkv7qHp2fhVtYToucu5hf1dzwCbTKtItt2Hj3V+rutNO5trPFQ6qjfHeEzj9s/+IFvRBLkE3FemnI2kb0nWfx5qPPgBRLh+/71whuxL3VTSo1EG0j+ros99ELHkAAW/ppfwht1Rfzoclt38dyzbc7Fr8F6G64kFVsykc/vnj8HTuRCxYegEqmbyGfnsp1n/2O6htXlWyevSVkIoLqaPiQaVtJcd2P43Ma9/D0jA/607ShXTgQj7LovmnshituRHbPv9tVz+9RGdWPKj07P3H9uLUM1/FylDuohmdFwLce/2sE82fg7jhfmy55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
<<include menu>><<set $erreur_manipulation to random(1,10)>>\ <<if $etape==1>>\ <center>Morceau de tige</center> <center><<include img_bouture_ratee>></center> [[Attendre une semaine|bouture][$etape=2]] <<elseif $etape==2>>\ <<if $erreur_manipulation==1>>\ <center>Morceau de tige une semaine après</center> <center><<include img_bouture_ratee>></center> <<else>>\ <center>Morceau de tige une semaine après</center> <center><<include img_bouture>></center> [[Planter la nouvelle plante dans de la terre|condition_croissance_plante][$etape = 1; $cobaye = "tomate"]] <</if>>\ <</if>>\ <<include auteur>>
<<include menu>><<if $init >=1>><<include init_biolab>><<else>><<include valeurs_mesures_biolab>><</if>>\ <center>BIO-LAB <<include img_biolab>></center> <<if $etape == 1>>\ <<if $contenu is "pyrrhocore" or $contenu is "cloporte">><blockquote>Vous pouvez modifier seulement le grand BIO-LAB. Le petit BIO-LAB restera à 20°C, 70 % HR et sera lumineux.</blockquote><</if>>\ [["Sonde : " + $outil|biolab_configuration][$etape = 2; $init=0]] [["Éclairage : " + $eclairage|biolab_configuration][$etape = 4; $init=0]] <<if $contenu == "poisson">>\ <div class="button_off">Température de l'eau : $temperature °C</div> <<else>>\ [["Température : " + $temperature + " °C" |biolab_configuration][$etape = 5; $init=0]] <</if>>\ <<if $contenu == "cloporte" or $contenu == "pyrrhocore">>\ [["Humidité de l'air : " + $hygrometrie + " %HR" |biolab_configuration][$etape = 6; $init=0]] <</if>>\ <<if $contenu is "eau">>[["Agitation : " + $agitation|biolab_configuration][$etape = 3; $init=0]] [["Algues : " +$algue|biolab_configuration][$etape = 7; $init =0]]<</if>>\ <button class="manip" data-passage="biolab_mesure" data-setter="$time to 0; $init to 0">Lancer les mesures.</button> <<elseif $etape == 2>>\ [[Utiliser une sonde à dioxygène - oxymètre|biolab_configuration][$etape = 1; $outil = "sonde à dioxygène"; $outil_ecran ="% O~~2~~"]] [[Utiliser une sonde de luminosité - luxmètre|biolab_configuration][$etape = 1; $outil = "sonde de luminosité"; ; $outil_ecran ="LUX"]] <<if $contenu == "eau agitée">><div class="button_off">sonde à dioxyde de carbone - désactivé</div><<else>>[[Utiliser une sonde à dioxyde de carbone|biolab_configuration][$etape = 1; $outil = "sonde à dioxyde de carbone"; $outil_ecran ="% CO~~2~~"]]<</if>> [[Utiliser une sonde à température - thermomètre|biolab_configuration][$etape = 1; $outil = "thermomètre"; $outil_ecran ="T°C"]] [[Ne pas utiliser de sonde|biolab_configuration][$etape = 1; $outil = "aucune"; ; $outil_ecran =""]] <<elseif $etape == 3>>\ [[Eau calme et non agitée.|biolab_configuration][$etape = 1; $agitation = "eau calme"]] [[Eau agitée.|biolab_configuration][$etape = 1; $agitation = "eau agitée"; $algue = "sans"]] <<elseif $etape == 4>>\ [[Allumer la lumière|biolab_configuration][$etape = 1; $eclairage = "lumineux"]] [[Eteindre la lumière|biolab_configuration][$etape = 1; $eclairage = "obscure"]] <<elseif $etape == 5>>\ [[Mettre à 10°C|biolab_configuration][$etape = 1; $temperature=10]] [[Mettre à 20°C|biolab_configuration][$etape = 1; $temperature=20]] [[Mettre à 25°C|biolab_configuration][$etape = 1; $temperature=25]] <<elseif $etape == 6>>\ [[Régler l'humidité à 50 %HR|biolab_configuration][$etape = 1; $hygrometrie=50]] [[Régler l'humidité à 70 %HR|biolab_configuration][$etape = 1; $hygrometrie=70]] <<elseif $etape == 7>>\ [[Mettre des algues dans l'eau|biolab_configuration][$etape = 1; $algue="avec"; $agitation = "eau calme"]] [[Ne pas mettre d'algues dans l'eau|biolab_configuration][$etape = 1; $algue="sans"]] <</if>>\ <<include auteur>>
<<include menu>><<include valeurs_mesures_biolab>><<if $contenu =="pyrrhocore" or $contenu=="cloporte">><<include biolab_preferendum>><</if>>\ <center>BIO-LAB ''<<print $time>> minutes'' après le début de l'expérience. <<include img_biolab>></center> <<if $etape == 1>>\ [[ATTENDRE 15 MINUTES|biolab_mesure][$etape =2; $time =15]]\ <<elseif $etape == 2>>\ [[ATTENDRE 15 MINUTES|biolab_mesure][$etape =3; $time =30]]\ <<elseif $etape == 3>>\ [[ATTENDRE 15 MINUTES|biolab_mesure][$etape =4; $time =45]]\ <<elseif $etape == 4>>\ [[ATTENDRE 15 MINUTES|biolab_mesure][$etape =5; $time =60]]\ <<elseif $etape == 5>>\ <div class="button_off">FIN DES MESURES.</div> <</if>> <blockquote>''CONDITIONS EXPÉRIMENTALES'' <<if $contenu =="pyrrhocore" or $contenu=="cloporte">>\ Grand Bio-Lab : <<print $temperature>>°C, <<print $eclairage>> et <<print $hygrometrie>> %HR Petit Bio-Lab : 20°C et lumineux et 70 %HR<<else>>\ Température : <<print $temperature>>°C Éclairage : <<print $eclairage>>.<</if>> <<if $contenu is "eau">>Agitation : $agitation<</if>> <<if $outil neq "aucune">>//note : La sonde est précise au centième.//<</if>></blockquote> <<include auteur>>
<<silently>> <<if $outil == "sonde à dioxygène">>\ <<if $contenu == "air">> <<set $mesure =20.9>> <<elseif $contenu == "eau">> <<if $algue =="avec" and $eclairage == "lumineux">><<set _algue to randomFloat(0.5,0.6)>><<elseif $algue =="avec" and $eclairage == "obscure">><<set _algue to randomFloat(-0.4,-0.2)>><<else>><<set _algue to 0>><</if>> <<if $agitation =="eau agitée">><<set _agitation to randomFloat(0.4,0.5)>><<else>><<set _agitation to 0>><</if>> <<if $time == 0>><<if $temperature is 10>><<set $mesure to randomFloat(8.6, 9.2)>><<elseif $temperature is 20>><<set $mesure to randomFloat(7.8, 8.2)>><<elseif $temperature is 25>><<set $mesure to randomFloat(6.9, 7.5)>><</if>> <<elseif $time == 15>><<set $mesure to ($mesure+_agitation + _algue)>> <<elseif $time == 30>><<set $mesure to ($mesure+_agitation + _algue)>> <<elseif $time == 45>><<set $mesure to ($mesure+_agitation + _algue)>> <<elseif $time == 60>><<set $mesure to ($mesure+_agitation + _algue)>> <</if>> <<elseif $contenu == "souris" and $eclairage =="lumineux">> <<set _conso to randomFloat(1.9, 2.1)>> <<if $time == 0>><<set $mesure=20.9>> <<elseif $time == 15>><<set $mesure to ($mesure-_conso)>> <<elseif $time == 30>><<set $mesure to ($mesure-_conso)>> <<elseif $time == 45>><<set $mesure to ($mesure-_conso)>> <<elseif $time == 60>><<set $mesure to ($mesure-_conso)>> <</if>> <<elseif $contenu == "souris" and $eclairage =="obscure">> <<set _conso to randomFloat(1.0, 1.4)>> <<if $time == 0>><<set $mesure=20.9>> <<elseif $time == 15>><<set $mesure to ($mesure-_conso)>> <<elseif $time == 30>><<set $mesure to ($mesure-_conso)>> <<elseif $time == 45>><<set $mesure to ($mesure-_conso)>> <<elseif $time == 60>><<set $mesure to ($mesure-_conso)>> <</if>> <<elseif $contenu == "pyrrhocore" or $contenu=="cloporte">> <<set _conso to randomFloat(0.2, 0.4)>> <<if $time == 0>><<set $mesure =20.9>> <<elseif $time == 15>><<set $mesure = ($mesure-_conso)>> <<elseif $time == 30>><<set $mesure = ($mesure-_conso)>> <<elseif $time == 45>><<set $mesure = ($mesure-_conso)>> <<elseif $time == 60>><<set $mesure = ($mesure-_conso)>> <</if>> <<elseif $contenu == "graines en cours de germination">> <<set _conso to randomFloat(0.007, 0.009)>> <<if $time == 0>><<set $mesure =20.9>> <<elseif $time == 15>><<set $mesure = ($mesure-_conso)>> <<elseif $time == 30>><<set $mesure = ($mesure-_conso)>> <<elseif $time == 45>><<set $mesure = ($mesure-_conso)>> <<elseif $time == 60>><<set $mesure = ($mesure-_conso)>> <</if>> <<elseif $contenu == "poisson">> <<set _conso to randomFloat(0.4, 0.6)>> <<if $time == 0>><<set $mesure =8.0>> <<elseif $time == 15>><<set $mesure = ($mesure-_conso)>> <<elseif $time == 30>><<set $mesure = ($mesure-_conso)>> <<elseif $time == 45>><<set $mesure = ($mesure-_conso)>> <<elseif $time == 60>><<set $mesure = ($mesure-_conso)>> <</if>> <<elseif $contenu == "plante" and $eclairage == "obscure">> <<set _conso to randomFloat(0.3, 0.5)>> <<if $time == 0>><<set $mesure =20.9>> <<elseif $time == 15>><<set $mesure = ($mesure-_conso)>> <<elseif $time == 30>><<set $mesure = ($mesure-_conso)>> <<elseif $time == 45>><<set $mesure = ($mesure-_conso)>> <<elseif $time == 60>><<set $mesure = ($mesure-_conso)>> <</if>> <<elseif $contenu == "plante" and $eclairage == "lumineux">> <<set _rejet to randomFloat(0.3, 0.5)>> <<if $time == 0>><<set $mesure =20.9>> <<elseif $time == 15>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 30>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 45>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 60>><<set $mesure = ($mesure+_rejet)>> <</if>> <</if>> <<elseif $outil == "sonde à dioxyde de carbone">> <<if $contenu == "air" >> <<set $mesure = 0.04>> <<elseif $contenu == "eau">> <<if $algue =="avec" and $eclairage == "lumineux">><<set _algue to randomFloat(-0.2,-0.1)>><<elseif $algue =="avec" and $eclairage == "obscure">><<set _algue to randomFloat(0.1,0.2)>><<else>><<set _algue to 0>><</if>> <<if $agitation =="eau agitée">><<set _agitation to randomFloat(0.1,0.2)>><<else>><<set _agitation to 0>><</if>> <<if $time == 0>><<if $temperature is 10>><<set $mesure to randomFloat(1.8, 1.9)>><<elseif $temperature is 20>><<set $mesure to randomFloat(1.5, 1.6)>><<elseif $temperature is 25>><<set $mesure to randomFloat(0.9, 1.0)>><</if>> <<elseif $time == 15>><<set $mesure to ($mesure+_agitation + _algue)>> <<elseif $time == 30>><<set $mesure to ($mesure+_agitation + _algue)>> <<elseif $time == 45>><<set $mesure to ($mesure+_agitation + _algue)>> <<elseif $time == 60>><<set $mesure to ($mesure+_agitation + _algue)>> <</if>> <<elseif $contenu == "souris" and $eclairage=="lumineux">> <<set _rejet to randomFloat(0.30, 0.40)>> <<if $time == 0>><<set $mesure =0.04>> <<elseif $time == 15>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 30>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 45>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 60>><<set $mesure = ($mesure+_rejet)>> <</if>> <<elseif $contenu == "souris" and $eclairage =="obscure">> <<set _conso to randomFloat(0.20, 0.30)>> <<if $time == 0>><<set $mesure=0.04>> <<elseif $time == 15>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 30>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 45>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 60>><<set $mesure = ($mesure+_rejet)>> <</if>> <<elseif $contenu == "pyrrhocore" or $contenu=="cloporte">> <<set _rejet to randomFloat(0.0,0.20)>> <<if $time == 0>><<set $mesure =0.04>> <<elseif $time == 15>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 30>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 45>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 60>><<set $mesure = ($mesure+_rejet)>> <</if>> <<elseif $contenu == "graines en cours de germination">> <<set _rejet to randomFloat(0.004,0.006)>> <<if $time == 0>><<set $mesure =0.04>> <<elseif $time == 15>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 30>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 45>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 60>><<set $mesure = ($mesure+_rejet)>> <</if>> <<elseif $contenu == "poisson">> <<set _rejet to randomFloat(0.1,0.3)>> <<if $time == 0>><<set $mesure = 1.6>> <<elseif $time == 15>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 30>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 45>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 60>><<set $mesure = ($mesure+_rejet)>> <</if>> <<elseif $contenu == "plante" and $eclairage == "obscure">> <<set _rejet to randomFloat(0.0, 0.2)>> <<if $time == 0>><<set $mesure =0.04>> <<elseif $time == 15>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 30>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 45>><<set $mesure = ($mesure+_rejet)>> <<elseif $time == 60>><<set $mesure = ($mesure+_rejet)>> <</if>> <<elseif $contenu == "plante" and $eclairage == "lumineux">> <<set _conso to randomFloat(0.0, 0.01)>> <<if $time == 0>><<set $mesure = 0.04>> <<elseif $time == 15>><<set $mesure = ($mesure-_conso)>> <<elseif $time == 30>><<set $mesure = ($mesure-_conso)>> <<elseif $time == 45>><<set $mesure = ($mesure-_conso)>> <<elseif $time == 60>><<set $mesure = ($mesure-_conso)>> <</if>> <</if>> <<elseif $outil == "sonde de luminosité">> <<if $eclairage == "obscure" and ($contenu is "eau" or $contenu is "poisson")>> <<set $mesure to random(2300,2400)>> <<elseif $eclairage == "obscure">> <<set $mesure to random(95,105)>> <<elseif $eclairage == "lumineux" >> <<set $mesure to random(14950,15050)>> <</if>> <<elseif $outil == "thermomètre">> <<if $contenu == "souris" >> <<set _chaud to randomFloat(0.1, 0.2)>> <<if $time == 0>><<set $mesure to $temperature>> <<elseif $time == 15>><<set $mesure = ($mesure+_chaud)>> <<elseif $time == 30>><<set $mesure = ($mesure+_chaud)>> <<elseif $time == 45>><<set $mesure = ($mesure+_chaud)>> <<elseif $time == 60>><<set $mesure = ($mesure+_chaud)>> <</if>> <<else>> <<set $mesure to $temperature>> <</if>> <<elseif $outil == "aucune">> <<set $mesure =0>> <</if>> <</silently>>\
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">
<<include cobaye_biolab>>\ <div id="Layer1" style="position:relative; left:0px; top:0px; z-index:1">\ <<if $eclairage =="lumineux">><<include img_biolab_bas_lumineux>>\ <<else>><<include img_biolab_bas_sombre>>\ <</if>>\ <div id="Layer2" style="position:absolute; left:140px; top:0px; z-index:2">\ <<if $cobaye_biolab !="non">><<if $eclairage == "obscure">><div style="filter:grayscale(100%) brightness(0.8)"><<include $cobaye_biolab>></div>\ <<else>><<include $cobaye_biolab>><</if>><</if>>\ </div>\ <div id="Layer3" style="position:absolute; left:140px; top:0px; z-index:3">\ <<if ($contenu =="eau" and $agitation is "eau calme") or $contenu =="poisson">><<include img_biolab_haut_eau>>\ <<else>><<include img_biolab_haut>><</if>>\ </div>\ <div id="Layer3" style="position:absolute; left:140px; top:0px; z-index:3">\ <<if ($contenu =="plante" and $time >=30 and $eclairage=="lumineux") or ($contenu =="plante" and $time ==60 and $eclairage=="obscure") >><<include img_buee>><</if>>\ </div>\ <div id="Layer4" style="position:absolute; left:274px; top:10px; z-index:3">\ <<if $contenu =="pyrrhocore">><<include img_biolab2>><<include img_pyrrho_biolab_2>> <<elseif $contenu=="cloporte">><<include img_biolab2>><<include img_clopo_biolab_2>> <</if>>\ </div>\ <<if $outil neq "aucune">><div id="Layer5" style="position:absolute; left:175px; top:50px; z-index:4"><<if $time !="non">><<= $mesure.toFixed(2)>><<else>>_ _<</if>> $outil_ecran</div><</if>>\ </div>\
<img 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">
<<silently>> /* le code permet d'afficher la bonne image du cobaye dans le biolab principal */ <<if $contenu == "air">> <<set $cobaye_biolab = "non">> <<elseif $contenu == "souris" and $eclairage == "obscure">> <<set $cobaye_biolab = "img_souris_dodo_biolab">> <<elseif $contenu == "souris" and $time == 60>> <<set $cobaye_biolab = "img_souris_morte_biolab">> <<elseif $contenu == "souris" and $time neq 60>> <<set $cobaye_biolab = "img_souris_biolab">> <<elseif $contenu == "pyrrhocore">> <<set $cobaye_biolab = "img_pyrrho_biolab">> <<elseif $contenu == "cloporte">> <<set $cobaye_biolab = "img_clopo_biolab">> <<elseif $contenu == "eau">> <<if $agitation is "eau agitée">><<set $cobaye_biolab = "gif_agitation">><<else>><<set $cobaye_biolab = "non">><</if>> <<if $algue is "avec">><<set $cobaye_biolab = "img_algue">><<else>><<set $coabye_biolab = "non">><</if>> <<elseif $contenu == "poisson">> <<set $cobaye_biolab = "img_poisson_biolab">> <<elseif $contenu == "plante">> <<set $cobaye_biolab = "img_plante_biolab">> <<elseif $contenu == "graines en cours de germination">> <<set $cobaye_biolab = "img_tas_graine">> <</if>> <</silently>>\
<img src="data:image/png;base64,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">
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">
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">
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">
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">
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">
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" title="Le BioLab est une chambre hermétique dans laquelle il est possible de placer des être-vivants et de modifier les conditions de vie. Le BioLab peut également mesurer différents paramètres physiques. ">
<<silently>> <<if $bac =="b1">> <<set $b1="avec"; $b2="sans">> <<elseif $bac =="b2">> <<set $b1="sans"; $b2="avec">> <<else>> <<set $b1 ="sans"; $b2="sans">> <</if>>> <<if $plasma == "avec" and $anticorps > 0.9 and $b1 == "avec" and ($paratope =="BB" or $paratope=="B")>> <<set $lame1 = "img_bacteries_agglutinees">> <<elseif $plasma == "avec" and $anticorps > 0.9 and $b2 == "avec" and $paratope =="BB">> <<set $lame1 = "img_bacteries_agglutinees">> <<elseif $bac != "sans">> <<set $lame1 = "img_bacteries_mobiles_rares">> <<else>> <<set $lame1 = "rien">> <</if>> <<if $globule_blanc == "avec" and $bac !="sans" and $lame1 =="img_bacteries_agglutinees">> <<set $lame2 = "img_leucocyte_bac_ac">> <<elseif $globule_blanc == "avec" and $bac !="sans">> <<set $lame2 = "img_leucocyte_bac">> <<elseif $globule_blanc == "avec">> <<set $lame2 = "img_leucocyte">> <<else>> <<set $lame2 = "rien">> <</if>> <<if $globule_rouge == "avec">> <<set $lame3 = "img_hematie">> <<else>> <<set $lame3 = "rien">> <</if>> <<endsilently>>\
<img 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">
<svg width="238px" height="238px" xmlns="http://www.w3.org/2000/svg"> <circle id="petri" cx="100" cy="100" r="100" fill="black" /> <script type="text/ecmascript"><![CDATA[ function colonie_sauvage() { petri = document.getElementById("petri"); petri.setAttribute("opacity", 0); colonie = document.createElementNS("http://www.w3.org/2000/svg", "circle"); colonie.setAttribute("fill", "red"); colonie.setAttribute("cx", Math.random()*240); colonie.setAttribute("cy", Math.random()*240); colonie.setAttribute("r", Math.random()*6); colonie.setAttribute("stroke", "red") colonie.setAttribute("stroke-width", "1") scene=petri.parentNode; scene.insertBefore(colonie,petri); } function colonie_mutante() { petri = document.getElementById("petri"); petri.setAttribute("opacity", 0); mutant = document.createElementNS("http://www.w3.org/2000/svg", "circle"); mutant.setAttribute("fill", "white"); mutant.setAttribute("cx", Math.random()*200); mutant.setAttribute("cy", Math.random()*200); mutant.setAttribute("r", Math.random()*4); mutant.setAttribute("stroke", "white") mutant.setAttribute("stroke-width", "1") scene=petri.parentNode; scene.insertBefore(mutant,petri); } var nb = Math.floor(Math.random()*2); var sauvage = 0; do { sauvage += 1; colonie_sauvage(); } while (sauvage < 200); var im = 0; do { im += 1; colonie_mutante(); } while (im < nb); ]]> </script> </svg>
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<svg width="238px" height="238px" xmlns="http://www.w3.org/2000/svg"> <circle id="petri" cx="100" cy="100" r="100" fill="black" /> <script type="text/ecmascript"><![CDATA[ function colonie_sauvage() { petri = document.getElementById("petri"); petri.setAttribute("opacity", 0); colonie = document.createElementNS("http://www.w3.org/2000/svg", "circle"); colonie.setAttribute("fill", "red"); colonie.setAttribute("cx", Math.random()*240); colonie.setAttribute("cy", Math.random()*240); colonie.setAttribute("r", Math.random()*2); colonie.setAttribute("stroke", "red") colonie.setAttribute("stroke-width", "1") scene=petri.parentNode; scene.insertBefore(colonie,petri); } function colonie_mutante() { petri = document.getElementById("petri"); petri.setAttribute("opacity", 0); mutant = document.createElementNS("http://www.w3.org/2000/svg", "circle"); mutant.setAttribute("fill", "white"); mutant.setAttribute("cx", Math.random()*200); mutant.setAttribute("cy", Math.random()*200); mutant.setAttribute("r", Math.random()*2); mutant.setAttribute("stroke", "white") mutant.setAttribute("stroke-width", "1") scene=petri.parentNode; scene.insertBefore(mutant,petri); } var sauvage = 0; do { sauvage += 1; colonie_sauvage(); } while (sauvage < 30); var im = 0; do { im += 1; colonie_mutante(); } while (im < 2); ]]> </script> </svg>
<svg width="238px" height="238px" xmlns="http://www.w3.org/2000/svg"> <circle id="petri" cx="100" cy="100" r="100" fill="black" /> <script type="text/ecmascript"><![CDATA[ function colonie_sauvage() { petri = document.getElementById("petri"); petri.setAttribute("opacity", 0); colonie = document.createElementNS("http://www.w3.org/2000/svg", "circle"); colonie.setAttribute("fill", "red"); colonie.setAttribute("cx", Math.random()*240); colonie.setAttribute("cy", Math.random()*240); colonie.setAttribute("r", Math.random()*6); colonie.setAttribute("stroke", "red") colonie.setAttribute("stroke-width", "1") scene=petri.parentNode; scene.insertBefore(colonie,petri); } function colonie_mutante() { petri = document.getElementById("petri"); petri.setAttribute("opacity", 0); mutant = document.createElementNS("http://www.w3.org/2000/svg", "circle"); mutant.setAttribute("fill", "white"); mutant.setAttribute("cx", Math.random()*200); mutant.setAttribute("cy", Math.random()*200); mutant.setAttribute("r", Math.random()*6); mutant.setAttribute("stroke", "white") mutant.setAttribute("stroke-width", "1") scene=petri.parentNode; scene.insertBefore(mutant,petri); } var sauvage = 0; do { sauvage += 1; colonie_sauvage(); } while (sauvage < 25); var nb = Math.floor(Math.random()*7+4); var im = 0; do { im += 1; colonie_mutante(); } while (im < nb); ]]> </script> </svg>
<svg width="238px" height="238px" xmlns="http://www.w3.org/2000/svg"> <circle id="petri" cx="100" cy="100" r="100" fill="black" /> <script type="text/ecmascript"><![CDATA[ function colonie_sauvage() { petri = document.getElementById("petri"); petri.setAttribute("opacity", 0); colonie = document.createElementNS("http://www.w3.org/2000/svg", "circle"); colonie.setAttribute("fill", "red"); colonie.setAttribute("cx", Math.random()*240); colonie.setAttribute("cy", Math.random()*240); colonie.setAttribute("r", Math.random()*1); colonie.setAttribute("stroke", "red") colonie.setAttribute("stroke-width", "0") scene=petri.parentNode; scene.insertBefore(colonie,petri); } function colonie_mutante() { petri = document.getElementById("petri"); petri.setAttribute("opacity", 0); mutant = document.createElementNS("http://www.w3.org/2000/svg", "circle"); mutant.setAttribute("fill", "white"); mutant.setAttribute("cx", Math.random()*200); mutant.setAttribute("cy", Math.random()*200); mutant.setAttribute("r", Math.random()*1); mutant.setAttribute("stroke", "white") mutant.setAttribute("stroke-width", "0") scene=petri.parentNode; scene.insertBefore(mutant,petri); } var sauvage = 0; do { sauvage += 1; colonie_sauvage(); } while (sauvage < 50); var im = 0; do { im += 1; colonie_mutante(); } while (im < 2); ]]> </script> </svg>
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EENPFi+RJjHXeKo2t4oeEJmZWsHI9BAC1SwARYAgW/sel/AmgBC80BwGyXIwAB7aK0m7KUHFWBBtg4AMIYN6DhP9EYBlEjFawGrB11sWBPYJogvssOEZQwYEw6QunCRplKCwOE6dBZHfMEgAAXAHsx8E54wgqOP0QsAAIC2rtsQ0pDhgCMB64gvJsCggswy1YD0/rgOQWbvctmTwvn2Yg8HUFJrq4NfpSBZjgLE4JQmgwEU4Ce1L3LSHRXowAxG4IEGKIAHTIAlvpx1rV/5igm9EmYVfcbKcQAwbD8YgQKMlUaLMSGVywKmFLbJzW06SwZkjJcj9yE8vMFNAwgwwL+YwE5k1o1n1/LbwJoABWSxy2BNYFe6vDS1E7RACEmToAtOYAIfrGADGdgABhpwRXs2gVyeXBYTHFBMfQETWNvpARN4g8xfXcuBAKFACUbYgr0NIXJHG2gLrCeIAbh0YgP4lrV6kB1g/gpDh8FktvT1vnyGc1lNOB9ASjCEzu1tcy1wwUAn9FNsMfEABegADXww/oIPVAaNBtsV5ozp0WsJ9R/C61wV3OYCqo20EQNgwLmsxQAaIG0IKQCBBzqwAJv+Co0jAiezphCFvkbhqwShWiX2IoMezHJtP3ChB0Dggx+wQAUs2EAHZMDNX/EAmMtSqmZZEIGRvNQACxgCC75WViEE4bQh0EAHGFpYduZzWUazHUtJQlSxSfCkG/jADGhAgxU0L5cGM5jTjBY5q812JADcnNuORjWTDoEEVeiLsbhJhW1SIQgqKC7xTFICzgmCAulrgSBIAAIQXOAn4CUeHoMSPlu5973wja9850vf+tr3vvjNr373y9/++ve/AA6wgAdM4AIb+MAITrCCF8zgBAZLJRAAOw==">
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">
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">
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">
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">
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">
<img src="data:image/png;base64,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">
/* biolab2 : Left entre 75 et 155 / Top entre 245 et 262 */ <<silently>><<include img_pyrrho>> <<set $insectLeft1 to random(75,115); $insectTop1 to random(245,254)>> <<set $insectLeft2 to random(115,155); $insectTop2 to random(245,254)>> <<set $insectLeft3 to random(75,115); $insectTop3 to random(254,262)>> <<set $insectLeft4 to random(115,155); $insectTop4 to random(254,262)>> <<set $insectPic to $insecte>> <</silently>> <<if $preferendum2>=1>> <<print $insectPic + " style='position: absolute; left: " + $insectLeft1 + "px; top: " + $insectTop1 + "px;' >">><</if>> <<if $preferendum2>=2>> <<print $insectPic + " style='position: absolute; left: " + $insectLeft2 + "px; top: " + $insectTop2 + "px;' >">><</if>> <<if $preferendum2>=3>> <<print $insectPic + " style='position: absolute; left: " + $insectLeft3 + "px; top: " + $insectTop3 + "px;' >">><</if>> <<if $preferendum2>=4>> <<print $insectPic + " style='position: absolute; left: " + $insectLeft4 + "px; top: " + $insectTop3 + "px;' >">><</if>>
<<set $insecte to "<img src='data:image/png;base64,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' width='18px'">>
/* biolab : Left entre 45 et 130 / Top entre 215 et 240 */ <<silently>><<include img_pyrrho>> <<set $insectLeft1 to random(45,87); $insectTop1 to random(215,227)>> <<set $insectLeft2 to random(87,130); $insectTop2 to random(215,227)>> <<set $insectLeft3 to random(45,87); $insectTop3 to random(227,240)>> <<set $insectLeft4 to random(87,130); $insectTop4 to random(227,240)>> <<set $insectPic to $insecte>> <</silently>> <<if $preferendum1>=1>> <<print $insectPic + " style='position: absolute; left: " + $insectLeft1 + "px; top: " + $insectTop1 + "px;' >">><</if>> <<if $preferendum1>=2>> <<print $insectPic + " style='position: absolute; left: " + $insectLeft2 + "px; top: " + $insectTop2 + "px;' >">><</if>> <<if $preferendum1>=3>> <<print $insectPic + " style='position: absolute; left: " + $insectLeft3 + "px; top: " + $insectTop3 + "px;' >">><</if>> <<if $preferendum1>=4>> <<print $insectPic + " style='position: absolute; left: " + $insectLeft4 + "px; top: " + $insectTop3 + "px;' >">><</if>>
<<set $insecte to "<img src='data:image/png;base64,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' width='18px'">>
/* biolab2 : Left entre 75 et 155 / Top entre 245 et 262 */ <<silently>><<include img_clopo>> <<set $insectLeft1 to random(75,115); $insectTop1 to random(245,254)>> <<set $insectLeft2 to random(115,155); $insectTop2 to random(245,254)>> <<set $insectLeft3 to random(75,115); $insectTop3 to random(254,262)>> <<set $insectLeft4 to random(115,155); $insectTop4 to random(254,262)>> <<set $insectPic to $insecte>> <</silently>> <<if $preferendum1>=1>> <<print $insectPic + " style='position: absolute; left: " + $insectLeft1 + "px; top: " + $insectTop1 + "px;' >">><</if>> <<if $preferendum1>=2>> <<print $insectPic + " style='position: absolute; left: " + $insectLeft2 + "px; top: " + $insectTop2 + "px;' >">><</if>> <<if $preferendum1>=3>> <<print $insectPic + " style='position: absolute; left: " + $insectLeft3 + "px; top: " + $insectTop3 + "px;' >">><</if>> <<if $preferendum1>=4>> <<print $insectPic + " style='position: absolute; left: " + $insectLeft4 + "px; top: " + $insectTop3 + "px;' >">><</if>>
/* biolab : Left entre 45 et 130 / Top entre 215 et 240 */ <<silently>><<include img_clopo>> <<set $insectLeft1 to random(45,87); $insectTop1 to random(215,227)>> <<set $insectLeft2 to random(87,130); $insectTop2 to random(215,227)>> <<set $insectLeft3 to random(45,87); $insectTop3 to random(227,240)>> <<set $insectLeft4 to random(87,130); $insectTop4 to random(227,240)>> <<set $insectPic to $insecte>> <</silently>> <<if $preferendum2>=1>> <<print $insectPic + " style='position: absolute; left: " + $insectLeft1 + "px; top: " + $insectTop1 + "px;' >">><</if>> <<if $preferendum2>=2>> <<print $insectPic + " style='position: absolute; left: " + $insectLeft2 + "px; top: " + $insectTop2 + "px;' >">><</if>> <<if $preferendum2>=3>> <<print $insectPic + " style='position: absolute; left: " + $insectLeft3 + "px; top: " + $insectTop3 + "px;' >">><</if>> <<if $preferendum2>=4>> <<print $insectPic + " style='position: absolute; left: " + $insectLeft4 + "px; top: " + $insectTop3 + "px;' >">><</if>>
<div class="auteur">auteur : Guillaume Berthelot - 2023</div>
<<include menu>>\ <<silently>> <<set $erreur_manipulation to random(1,10)>> <<if $arrosage_serre =="arrosage avec de l'eau minéralisée" and $sol_serre == "terre contenant des mycorhizes">> <<set $ions = random (32,40)>> /* la plante a prélevé beaucoup d'ions avec les mycorhizes */ <<set $teneur_eau = 98>> <<elseif $arrosage_serre =="arrosage avec de l'eau minéralisée">> <<set $ions = random (11,14)>> /* la plante a prélevé des ions */ <<set $teneur_eau = 99>> <<else>> <<set $ions = random (3,5)>> /* la plante a prélevé très peu d'ions. Il reste les ions constitutif de la plante*/ <<set $teneur_eau = 99>> <</if>> <<if $eclairage_serre =="lumineux" and $air_serre neq "air sans dioxyde de carbone">> /* la photosynthèse est possible */ <<if $ions >= 32 >> <<set $biomol = random(90,105)>> /*la photosynthèse produit plein de biomolécules grâce aux ions et à l'eau récupéré par les mycorhizes */ <<if $air_serre =="air avec 600 ppm de CO₂" or $air_serre =="air avec 800 ppm de CO₂">> /* grâce à l'air enrichi en C02, il y a plus de photosynthèse */ <<set $biomol +=10>> <</if>> <<elseif $ions >=11>> <<set $biomol = random(80,95)>> /*la photosynthèse produit plein de biomolécules grâce aux ions et à l'eau*/ <<if $air_serre =="air avec 600 ppm de CO₂" or $air_serre =="air avec 800 ppm de CO₂">> /* grâce à l'air enrichi en C02, il y a plus de photosynthèse */ <<set $biomol +=10>> <</if>> <<else>> <<set $biomol = random(12,20)>> /*la sève contient des biomolécules provenant des réserves */ <</if>> <<else>> <<set $biomol = random(12,20)>> /*sans lumière, ni CO2, sans eau, la sève contient des biomolécules provenant des réserves */ <</if>> <</silently>>\ <center>$cobaye <<if $eclairage_serre == "obscure">>\ <div id="Layer1" style="position:relative; left:0px; top:0px; z-index:1; filter:grayscale(90%)"><<include pot_terre>>\ <div id="Layer2" style="position:absolute; left:155px; top:0px; z-index:2"><<include img_tomate>></div>\ <div id="Layer3" style="position:absolute; left:245px; top:90px; z-index:3"><<include gif_seve>></div></div>\ <<else>>\ <div id="Layer1" style="position:relative; left:0px; top:0px; z-index:1"><<include pot_terre>>\ <div id="Layer2" style="position:absolute; left:155px; top:0px; z-index:2"><<include img_tomate>></div>\ <div id="Layer3" style="position:absolute; left:245px; top:90px; z-index:3"><<include gif_seve>></div></div>\ <</if>>\ //Une aiguille microscopique permet de prélever la sève. La sève est composée d'eau et de molécules solubles.//</center>\ <hr> ''Sève brute :'' <table> <tr><td width="240">- Sels minéraux (1) . . . . . . . . . . .</td><td width="240"><<print $ions>> µg/mL</td></tr> <tr><td width="240">- Molécules organiques (2) . . . . .</td><td width="240">0 mg/mL</td></tr> </table><hr> ''Sève élaborée :'' <table> <tr><td width="240">- Sels minéraux . . . . . . . . . . . . .</td><td width="240"><<print ($ions*randomFloat(1.5,2.5)).toFixed(0)>> µg/mL</td></tr> <tr><td width="240">- Molécules organiques . . . . . . .</td><td width="240"><<print $biomol>> mg/mL</td></tr> </table><hr>\ //(1) ''Sels minéraux'' : azote, potassium, phoshore, calcium... etc. (2) ''Molécules organiques'' : glucose, protide, lipide... etc.// [[Retour|condition_croissance_plante]] >''CONDITIONS EXPÉRIMENTALES'' >Contenu du pot : <<print $sol_serre>> >Air injecté : <<print $air_serre>> >Type d'arrosage : <<print $arrosage_serre>> >Type d'éclairage : <<print $eclairage_serre>> >Température réglée : <<print $temperature_serre>> <<include auteur>>
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" 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<img src="data:image/png;base64,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" width="35" title="Faire une nouvelle manipulation avec une souris.">
<img src="data:image/png;base64,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" width="35" title="Faire une nouvelle manipulation avec le BioLab.">
<img src="data:image/png;base64,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" width="35" title="Faire une nouvelle manipulation avec une plante.">
<img src="data:image/png;base64,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" width="35" title="Revenir sur la page d'accueil">
<img src="data:image/png;base64,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" width="35" title="Faire une nouvelle manipulation avec les bactéries.">
<<silently>> <<set $etat = "vivante">> <<set $taille_souris = ((random(23,33)+random(23,33)+random(23,33))/10)>> /* entre 7 et 10 */ <<if $sexe is "femelle">><<set $taille_souris -= 1>><</if>> <<set $poids_souris = ((random(63,83)+random(63,83)+random(63,83))/10)>> /*entre 19 et 25 */ <<set $poids_juvenile = ((random(26,40)+random(26,40)+random(26,40))/10)>> */entre 8 et 12 */ <<set $taille_juvenile = ($poids_juvenile/either(2.4,2.5,2.6)).toFixed(1)>> /*variable pour composition du sang générale*/ <<set $eau = random (810,840)>> */entre 810 et 840 */ <<set $dioxygene = random (16,20)>> */entre 16 et 20 */ <<set $glucose = random(14,18)/10>> */entre 1,4 et 1,8 */ <<set $co2 = random(39,42)>> */entre 39 et 42 */ <<set $uree = random (2,4)/10>> */entre 0,2 et 0,4 */ <<set $hematie = random (67,125)/10>> */entre 6,7 et 12,5 */ <<set $analyse_sang = "souris">> /*variable pour expérience sur le système immunitaire*/ <<set $charge_microbienne = 0>> <<set $phagocyte to random (1350,4000) >> */entre 1350 et 4000 */ <<set $lymphocyte to random (4050,12000)>> */entre 4050 et 12000 */ <<set $anticorps to randomFloat (0.15,0.8).toFixed(2)>> */entre 0,15 et 0,8 */ <<set $paratope to either ("B","BB","T","T","T","T")>> /* la souris a 2 chance sur 6 d'etre protegé contre bactérie B1, 1 chance sur sur 6 contre B1 et B2 */ <<set $plasma = "sans">><<set $globule_blanc = "sans">><<set $globule_rouge = "sans">><<set $b1 = "sans">><<set $b2 = "sans">> /*variable pour les ablations et les organes*/ <<set $spz = "img_sperme_sain">> /*variable pour expérience sur système nerveux*/ <<set $bruit = "non">> <<set $reaction = "entend_bouge">> <<set $lame1="rien"; $lame2 ="rien"; $lame3="rien">> <<set $hauteur to either (2,3,5)>> <<set $plasma="sans"; $bac="sans"; $globule_blanc="sans"; $globule_rouge="sans">> <<if $init is 1>> /* on réinitialise les conditions expériementales seulement lorsque l'on clique sur le bouton d'accueil. Si on clique sur l'icone souris pour répéter l'expérience, les paramètres expérimentaux ne sont pas modifié */ <<set $injection = "non">> <<set $ablation = "non">> <<set $ration = "normale">> <<set $microbiote = "microbiote d'une souris saine">> <</if>> <</silently>>\
<<silently>><<if $init >= 1>><<set $etape_culture_microbienne = "initiale">> <<set $colonie_bacterie = "img_petite_colonie_bacterie">> <<set $pastille = "aucune">> <<set $choix1= 0; $choix2=0; $choix3=0>> <<set $lame1="rien"; $lame2 ="rien"; $lame3="rien">> <<set $hauteur to either (2,3,5)>><</if>> <<if $init is 1>> <<set $temperature_culture_microbienne = 37>> <<set $antibiotique = "non">> <<set $milieu_culture_microbienne = "gélose avec sang">> <<set $lampe_culture_microbienne = "lampe classique">> <<set $amoxicilline = ""; $penicilline = ""; $vancomycine = ""; $list_antibio ="aucun">> <</if>> <</silently>>
<<silently>><<if $init is 1>><<set $time ="non"; $outil ="aucune"; $mesure=0; $outil_ecran =""; $preferendum1 to 2; $preferendum2 to 2; $agitation ="eau calme"; $algue="sans">><<else>><<set $time ="non"; $mesure=0; $preferendum1 to 2; $preferendum2 to 2;>><</if>><</silently>>\
<<silently>><<set $air_serre = "air complet">><<set $temperature_serre = "19°C">><<set $arrosage_serre = "arrosage avec de l'eau minéralisée">><<set $sol_serre = "terre">><<set $eclairage_serre = "lumineux">><<set $petale = "avec">><<set $etamine = "avec">><<set $pistil = "avec">><<set $erreur_manipulation = 0>><<set $nombre_plante = "seule">><<set $nombre_plante = "avec une autre plante de tomate">><<set $bourdon = "avec">><<set $sels_mineraux = 0>><<set $lame1="rien"; $lame2 ="rien"; $lame3="rien">><<set $hauteur to either (2,3,5); $choix1 =0; $choix2 =0; $choix3 =0>><</silently>>\
<<include menu>> <<if $etape == 1>> >Es-tu vraiment prêt pour tuer le plus de souris en 2 minutes ? [[Non, je ne suis pas prêt.|ethique][$etape = 2]] [[Oui, je suis prêt.|ethique][$etape = 3]] <<elseif $etape == 2>> >BRAVO : tu as réussi le défi. Il ne faut pas s'amuser à tuer des animaux, même dans un logiciel numérique. En effet, même si les scientifiques font des expériences sur des animaux, ils doivent respecter des règles strictes : la règle des trois R. >- ''R''éduire le nombre d'animaux autant que possible dans une expérience. >- ''R''emplacer les animaux par des simulations ou des cultures de cellules quand c'est possible. >- ''R''affiner les expériences en limitant la souffrance animale. <a rel="license" href="https://www.inserm.fr/professionnels-recherche/recherche-pre-clinique/experimentation-animale/regle-3-r-reduire-raffiner-remplacer">En savoir plus sur les règles 3R</a> <<remember $ethique = "succès">>[[Revenir au défi|Defi]] <<elseif $etape == 3>> >DOMMAGE. Tu as fais le mauvais choix. Même si c'est un logiciel, tu n'aurais pas du vouloir faire mourir des souris pour gagner un défi. Dans les laboratoires, même si les scientifiques font des expériences sur des animaux, ils doivent respecter des règles strictes : la règle des trois R. >- ''R''éduire le nombre d'animaux autant que possible dans une expérience. >- ''R''emplacer les animaux par des simulations ou des cultures de cellules quand c'est possible. >- ''R''affiner les expériences en limitant la souffrance animale. >Le respect de ces trois règles est contrôlé. <a rel="license" href="https://www.inserm.fr/professionnels-recherche/recherche-pre-clinique/experimentation-animale/regle-3-r-reduire-raffiner-remplacer">En savoir plus sur les règles 3R</a> <<remember $ethique = "echec">>[[Revenir au défi|Defi]] <</if>> <<include auteur>>
<img 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">
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">
<<set $image to "<img src='data:image/gif;base64,R0lGODlhGwBLAPAAAGZmZmdnZyH/C05FVFNDQVBFMi4wAwEAAAAh+QQJCgACACwAAAAAGwBLAAACeJSPqcvtD6Oc9IFb090gH755IJeNIWWSU3pKLLa+qByzs12bZSqOngH6IWBCYKdoPCKJS2WR+UR+pECqwBmVQnvYnra7A9+aYte20hKed9Q1OtAuz+JW9/wrr8Xz5jo/YnfX5Ef3VWiIOJj49AcRuGIVKTlJWSlQAAAh+QQJCgABACwAAAAAGwBLAAACcoyPqcvtD6Oc9IFb090gH755IJeNIWWSU3pKLLa+qByzs12bZSqOngH6fTrCYdF4DBCTy2Oz+BRGf1NREnhVZqulrffKnYHDsbGZ+UWD00421C2FU+XWtZ1JduUjMOce0gf1ZzHoEChV2JCYxdjo+PhTAAAh+QQJCgACACwAAAAAGwBLAAACe5SPqcvtD6Oc9IFb090gH755IJeNIWWSU3pKLLa+qByzs12bZSqOnuD7wX6GlnBIRCY7xA+zCXw2pVPox1rERrHKJbfb04J31KO4HLaOK+vZ960OqNG7OXxKpwTarvxk79c3FxjBJ2gHZVhIuDiImMgIEalFWWl5iYlVAAAh+QQJCgABACwAAAAAGwBLAAACcoyPqcvtD6Oc9IFb090gH755IJeNIWWSU3pKLLa+qByzs12bZSqOngH6fTrCYdF4DBCTy2Oz+BRGf1NREnhVZqulrffKnYHDsbGZ+UWD00421C2FU+XWtZ1JduUjMOce0gf1ZzHoEChV2JCYxdjo+PhTAAA7' width='6'">>
<<silently>><<include img_spz>><<include img_spz_anormal_a>><<include img_spz_anormal_b>><<include img_spz_anormal_c>><</silently>> <<if $poids_souris > 25>><<for _i to 0; _i lt 10; _i++>>\ <<set $imgLeft to random(30,210); $imgTop to random(10,210)>>\ <<print $image + " style='position: absolute; transform:rotate(" + random(0,360) + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\ <</for>><<else>>\ <<for _i to 0; _i lt 30; _i++>>\ <<set $imgLeft to random(30,210); $imgTop to random(10,210)>>\ <<print $image + " style='position: absolute; transform:rotate(" + random(0,360) + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\ <</for>><</if>>\ <<for _i to 0; _i lt 4; _i++>>\ <<set $imgLeft to random(30,210); $imgTop to random(10,210)>>\ <<print $imagea + " style='position: absolute; transform:rotate(" + random(0,360) + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\ <</for>>\ <<for _i to 0; _i lt 4; _i++>>\ <<set $imgLeft to random(30,210); $imgTop to random(10,210)>>\ <<print $imageb + " style='position: absolute; transform:rotate(" + random(0,360) + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\ <</for>>\ <<for _i to 0; _i lt 4; _i++>>\ <<set $imgLeft to random(30,210); $imgTop to random(10,210)>>\ <<print $imagec + " style='position: absolute; transform:rotate(" + random(0,360) + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\ <</for>>\
<<if $milieu_culture_microbienne == "gélose avec sang">>\ <svg width="240" heigth="240" viewBox="0 0 120 120" xmlns="http://www.w3.org/2000/svg" version="1.1"><circle cx = "60" cy = "60" r = "60" fill = "#f4ccccff"></svg>\ <<else>>\ <svg width="240" heigth="240" viewBox="0 0 120 120" xmlns="http://www.w3.org/2000/svg" version="1.1"> <circle cx = "60" cy = "60" r = "60" fill = "#efefefff"></svg>\ <</if>>\
<<set $image to "<img src='data:image/gif;base64,R0lGODlhJQAxAPAAAGZmZmdnZyH/C05FVFNDQVBFMi4wAwEAAAAh+QQJDwACACwAAAAAJQAxAAACbJSPqcvtD6OctNoLAcBR+80t3xgm41ka55quaOiyWCxbtHvd9aTvUv+iAIO8oSZgM2osASWo4sxFoVOqUXrFDrVAbs/7TWYrzTGlvGVWi0rw7YLuumOYuI6Txodh99aqmWLyEUhYaHiImChQAAAh+QQJDwACACwAAAAAJQAxAAACZpSPqcvtD6OctNqLswO8A714IoiIYkCaqqa23+W2cLxatEzd+KTXfD/KAT2VIVFonA2VQGbPqYPSpFPbkurCJLE7ZNO69X7Fz6LxRb5pr+ByW50ZwwJRFjyVJR3y+sSxDxgoOIhRAAA7' width='7'">>
<<silently>><<include img_bacteria>><</silently>> <<for _i to 0; _i lt 30; _i++>>\ <<set $imgLeft to random(30,210); $imgTop to random(10,210)>>\ <<print $image + " style='position: absolute; transform:rotate(" + random(0,360) + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\ <</for>>\
<<set $imageb to "<img src='data:image/gif;base64,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' width='7'">>
<<set $imagea to "<img src='data:image/gif;base64,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' width='8'">>
<<silently>><<include img_bacteria_fixe>><</silently>> <<set $imgLeft to random(40,80); $imgTop to random(30,40)>>\ <<for _i to 0; _i lt 4; _i++>>\ <<set $imgLeft += random(-5,5); $imgTop += random(-5,5)>>\ <<print $image + " style='position: absolute; transform:rotate(" + random(0,360) + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">><</for>>\ <<set $imgLeft to random(120,210); $imgTop to random(30,40)>>\ <<for _i to 0; _i lt 4; _i++>>\ <<set $imgLeft += random(-5,5); $imgTop += random(-5,5)>>\ <<print $image + " style='position: absolute; transform:rotate(" + random(0,360) + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">><</for>>\ <<set $imgLeft to random(80,120); $imgTop to random(160,200)>>\ <<for _i to 0; _i lt 4; _i++>>\ <<set $imgLeft += random(-5,5); $imgTop += random(-5,5)>>\ <<print $image + " style='position: absolute; transform:rotate(" + random(0,360) + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">><</for>>\
<<silently>><<include img_bacteria_fixe>><</silently>> <<for _i to 0; _i lt 5; _i++>>\ <<set $imgLeft to random(30,210); $imgTop to random(10,210)>>\ <<print $image + " style='position: absolute; transform:rotate(" + random(0,360) + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\ <</for>>\
<<set $image to "<img src='data:image/png;base64,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' width='7'">>
<<set $imag to "<img src='data:image/png;base64,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' width='35px'">>
<<silently>><<include img_spz>><<include img_spz_anormal_a>><<include img_spz_anormal_b>><</silently>> <<for _i to 0; _i lt 8; _i++>>\ <<set $imgLeft to random(30,210); $imgTop to random(10,210)>>\ <<print $image + " style='position: absolute; transform:rotate(" + random(0,360) + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\ <</for>>\ <<for _i to 0; _i lt 6; _i++>>\ <<set $imgLeft to random(30,210); $imgTop to random(10,210)>>\ <<print $imagea + " style='position: absolute; transform:rotate(" + random(0,360) + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\ <</for>>\ <<for _i to 0; _i lt 6; _i++>>\ <<set $imgLeft to random(30,210); $imgTop to random(10,210)>>\ <<print $imageb + " style='position: absolute; transform:rotate(" + random(0,360) + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\ <</for>>\
<<set $imageC to "<img src='data:image/png;base64,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'">>
<<set $imageB to "<img 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'">>
<<set $imageB to "<img 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'">>
<<silently>><<include img_bacteria>><</silently>> <<for _i to 0; _i lt 10; _i++>>\ <<set $imgLeft to random(30,210); $imgTop to random(10,210)>>\ <<print $image + " style='position: absolute; transform:rotate(" + random(0,360) + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\ <</for>>\
<<silently>><<include img_phago>><<include img_phago_bac>><<include gif_phago_sans_ac>><</silently>> <span id="leuco"><<set $imgLeft to random(60,120); $imgTop to random(40,80); $imgRot to random(0,360)>>\ <<print $imageA + " style='position: absolute; transform:rotate(" + $imgRot + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\</span> <<timed 3s>><<replace "#leuco">> <<print $imageB + " style='position: absolute; transform:rotate(" + $imgRot + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\<</replace>> <<next 7.1s>><<replace "#leuco">><<print $imageC + " style='position: absolute; transform:rotate(" + $imgRot + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\<</replace>> <</timed>>
<<if $milieu_culture_microbienne == "gélose avec sang">>\ <<if $penicilline == "penicilline">>\ <svg width="240" heigth="240" viewBox="0 0 240 240" xmlns="http://www.w3.org/2000/svg" version="1.1"><circle cx = "120" cy = "120" r = "65" fill = "#f4ccccff"></svg>\ <<elseif $amoxicilline == "amoxicilline">>\ <svg width="240" heigth="240" viewBox="0 0 240 240" xmlns="http://www.w3.org/2000/svg" version="1.1"><circle cx = "120" cy = "120" r = "40" fill = "#f4ccccff"></svg>\ <<else>><</if>>\ <<else>>\ <<if $penicilline == "penicilline">>\ <svg width="240" heigth="240" viewBox="0 0 240 240" xmlns="http://www.w3.org/2000/svg" version="1.1"><circle cx = "120" cy = "120" r = "65" fill = "#efefefff"></svg>\ <<elseif $amoxicilline == "amoxicilline">>\ <svg width="240" heigth="240" viewBox="0 0 240 240" xmlns="http://www.w3.org/2000/svg" version="1.1"><circle cx = "120" cy = "120" r = "40" fill = "#efefefff"></svg>\ <<else>><</if>>\ <</if>>\
<<set $imageA to "<img src='data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFoAAABBCAQAAAD7sHvRAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAAAmJLR0QA/4ePzL8AAAAHdElNRQfkBhgFHhXku2A7AAAFcUlEQVRo3u2ZW2gcVRjH/2duO3vNbpJt0haqQkWxBS/kqVahVEsUkYr4YOqFaNJSCeKbtEWaqqAPSisSJGFrC6kirShiH1TaotKH+iJ98EFKrbfSJO4mu9nrzM7MOT5kk8zszu7OzG5KHvbLy2zO5fvN/3znnG/OATrWsY51rGMda7ORtXYwLmwewFPcE/QO9gt+wE/7r65z6Kkd0rvlRwQmiz5IUA3lVolnPF7e//26hJ4IBQ8bI+gJcUHwlhJlMWmwqZm3xvV1Bn36ae2cLIUg25ZSJNPaDewdvbkuoD/ZLj+KQfog3RTnfA1rLtLcf8Jdw4o3P0I7YCf6xausD+A1QZQgwddUiy5OC6hj+MCbv7YoPXk8sLN3wF0bHbM5YYM3rbnWkSf6yUs9dZA1pMFsSwTIQfKeN49tgBaPhKnzASuuvESU08ZOPuvFY4vhcSqqH8WBzX7n3VCTTiqSOnfm31G3y18L0Kei9BgdDfoiHO+5D4p5Vv6D7XK3/HmGTgyyr4NSK8DLlkUuy/e5mZIeY3p6H/s2LsfagAxE4AuxQ25aeFL67H3Z33qJ3fahN1j4DeQRsXWoYzYvxJ1r7Ulp9aBsi6xhBkbdVgtYRN62RIDs099w7t+T0p/+3bUlYFvSWOkcuuo41DFbog8d+N2Zf09KaxuFsn1Jo6yAR7SuRgK6/eTK5L0eoHdf2z27x0FDdjD5j5eXbWQB9ITIz5O9LqEf24k7ETM+bt6IbPdl2g0NBPigTBIuodl3EMGTY82aTPSTF3oeaD80EAvzu6YcbOwr0Hv2IcAY0hcuN2sivBnMkraktNVG0B3B+83rVZzvvmZsBSHKxbiDvl+LSU4xmMvlSQd+bV5rWem7QVAgjzvqWTKD5OukngCgYq6qlKHYsOsCpZ87hiYLUMhg89CotWADLSXEqkoJ/Jbf1fl2mfgcfKlXwuNCjwtOyrhVlEbDT7C0b5qDpHG4MOJkM/ewuXBf5TU39VXcqhsUomUsDNTZ51uHJocyJeaivg7aICMxW1YjJ9YIeuQ6O58vOa8fxEaEHdQzUNDFD9cIGuCPLtKlJwYnX0rmRZ3WrZUFf24448S/xy+XSbYFAEMSGuIwL9sKDPAAOAg2ilDMAehCbY5oYJYG+oZSTrx72tkm+lGCHyAQwSxdFLHqNYxYVTuGeWgAUogiUqOz9KMzZI/Q/hOBynIbsyxnZSyYauVrUtE0lqdC9UQ2UKSBIaf+PcW0vje08ryKpSNpiVgG62w1f7dUR2UW4vmhuTWFZmcLNQ4okjULW8HyvGj6Zf0gZihQ8VXn/r2tHm9npGLG+r8yancc8+Zm3TWsSpcgzDiNZ8/QI9e5J1MLKcUcDDJqUz8zmrlUqJxcL0e2Cs5V1uPx3GP0irRNnb6lm7FDNbXMs9wcEN3gABi4WRkdBWz6NkADw8rIfu7MgimMa/O9VdCiKaLDFZ159EEEQKEbf7m6hWnp1JQ7qCRXUyFSo/Wy0lmkwABIIOARXSmXKi8kXHJ3BNkS9LCCZxbU1RAJQ678LaWkCopgSCMDgMMG9GMz4jXjUUiXJ9z5bfkmIDHle6XX5kgvh3RFFQpARg/sz/1y82lO2uTuRqDlQ3X+dWXeLlsOoxsESwlSBHFbZB1z6fSf2OH2EqMNdy6Jh+nFqC9k05WKMihE2B+h5WhGYeMzx93fKLbloiixlf/SuD9WB87OdCOV1GbZ805P79YAGgA+e7F0wueP+VUU86UA4wCApxHOOgI5umhQEYCKIzMfeb21bePl5ylZfYeM4TL7gnxzIAUAp7exhD7QJSyB65gvajfoc97UXSNoezt5D0loO8AB0HHYSwR3rGMd61jHOnYb7H+9rrcDgur7VAAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0wNi0yNFQwNTozMDoyMS0wNDowMKjpHDAAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMDYtMjRUMDU6MzA6MjEtMDQ6MDDZtKSMAAAAAElFTkSuQmCC'">>
<<silently>><<include img_phago>><<include img_phago_bac_ac>><<include gif_phago_avec_ac>><</silently>> <span id="leuco"><<set $imgLeft to random(80,120); $imgTop to random(40,80); $imgRot to random(0,360)>>\ <<print $imageA + " style='position: absolute; transform:rotate(" + $imgRot + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\</span> <<timed 3s>><<replace "#leuco">> <<print $imageB + " style='position: absolute; transform:rotate(" + $imgRot + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\<</replace>> <<next 2.7s>><<replace "#leuco">><<print $imageC + " style='position: absolute; transform:rotate(" + $imgRot + "deg); left: " + $imgLeft + "px; top: " + $imgTop + "px;' >">>\<</replace>> <</timed>>
<<set $imageA to "<img src='data:image/png;base64,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'">>
<<set $imagec to "<img src='data:image/png;base64,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' width='8'">>
<img src="data:image/jpeg;base64,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">
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">
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FhFoF599AMAYFv5RQSZ0AgHQIpqkBDWRhEoIAJ/IAFO8FdRcAk3oImiAy9bhjI6EHAHly05wBGCWBJHMCkXgWbo0235MziX1X2+llg3UC81WUhdKQJP8ARnkAIw4HN20IYHqV0F4zkXk044EAOQcAZRECwH4BwH4I8nkAYMw2n4N5R0ZGof5kNqKS1ImBFkMGS2Bl4W8QLKMi06oGoIsVKd/xVg9TUtoiYHaBAF6mkGapA40LSbESNqN/ACK/AIZ2AGfxAFT9AET2AGj2A0XPQ+wZUutkRsMSAvWEMtCFlvq5ctavMRo7QSD6gRoDQvB7E300Jj+Oc45SI6QVBml5CYDaAdIiACBMIECGAAS4BuC+CPZuAIaQADeEWAdaAJQpNWNuhWSYMH7URjyaNdYTMSDcCAx1FnFiEH+bOXZVcvNeAD+aYzZoZm65JY2XKQCgVa09JBKGZMsEIDmBB4OpcJObBpPhAuAomSSTN79YWMOFQw1CQSC6CNVYWdE3GgHQQAcfRVQEB+AIAJOUAtAQdxZnpls7RPnRV+PLV4rPdPP//XPzZgA13URWvjaw8FAJnwMyXhIywxaxmmUGY6Rn00UlGWPGTXPAqjCebTLbfXmxVDSD+gXvBiLbBzPOGSl1g2WmelcyCWP24Dd3P3Az1WP6pkEgagbioBi3LJU3ZwA0WAA8FVaoT0kAOzM7dJbHJQUi6FNPMHbc8CST91LbGjPZMYLsFVB/VSPnKVbw1WEszBEnJKETFgMCMTiUGQCfXSOkhTMHDwqDnwOZGDqL2mXPsljMsDOrdHQDRAQHM1bJOwNkoDPyXkOpuJEke2EgtpEXGTfkyEfvNILugiajVZamLFizG2AjDASyhGK9CGPsb0YipQNivwAgEUNZPqe87/hQf3wwk5gGwpkWcSyhHVUmYG4S/5Ezu1un4qczDaVWpf9pGTE0nmdLRFEDEBU1w91YY7hgeX9RK3phI7CRFy4DZQ8xCt8yw7RWgjyWUnc3TrAlA10GGW+qfT8qYu0bURtBEGCDUQiUIHEQOjxkFDmaQKA5hyIDJQMzK414ZklAnXWgRyYKUmA3c5S1oCUQNuw6vFExNN8LUgoUcbES6/hWYmU6/m6aw8YD7yEjvGk1i1ql6MBH+KpEG2RF3RczzaIwTW4kTAOkZCMJMwwQcYRl5TwBE5sGA9ELbHozNe03v5Q08EaGbbJ6rbKkytaEXWYgODVGNwN3/nlDw6JS1v/wkTC8C5H0EALtIR9UMtRempzol/c3dM/WMHE0EDKQZxJoMuAUaZ8JJYPOW7MhEzsah5SqSzLdVk8BU3ROBWzBls8mionXYy07IuNsNE9Is8imcuPJO5M6EfLGFKI3EDM2Vz8QKOjFZMp1gECPWoUMN3C3crWmOtRmMtvjQ1BRzBpaYrNRRa1QkTnJoShBgSl1AtqeWn13hIk/aNr0ugDkwtGjdSI0YyKKgJcFu5ykO3MPHDK2GsILF923JmDLFsvHO4UYN7DzN3W0MvfPsQKbZgnICAMTFYLzQSMdA5JFNIg+OdmFCYhgkDRmNMfHcx0nZMMXCYNYgsazND8BKfGv8sExcbxyMRRxxUTG0AkfnDdhPjSEtTpvD3UuJKLTq1TiT1ULzTR+xUE+QLEqdsESswUegCWfMCYt4GVsclsHh5eucicWuYMUVAX4jYA9Y1E6nsEcF8EbrieqGlPEPwNOi3ZpWkPKLDZarXzAVznn8bbMzCXabsEnT6yGxDS0NHoB0zRhgDcYn1jTbGCa14PwhzE2YwzBzBdSeRM5E5LbrrggssgJSYZdmCu8yDMHLQA08jXRFsgD1AyDERCI18EgJsEgzlN5rAswZxdlsaTF3IKy92YppwMSwrB3BwOOaTLmk8E07gzhsRfSVBB/ACnhIBB7Qaap7zfpz8SL2nvwn/PMUvsQDBexI9PBLI4zdAUAPLqhA0QDqJc0Clti7TsnBYgzDiXDFjDC212l8CaQd/SnksUTcuYdIkgZCfRk6uN2w7BABIej/w0ix0kDZZk6E2JHsLxn46daZsoytPw2uX9ANhjRI7jRJYbBIyd4110NZ/wwM+kL9FKWpKw88BS6AfSlL4ZbXL89YnKZGSWjATmxIJfRKXPRKtiG/LJZLnnMSKdElvnS5MPFxBwDU42EV2oHrpYmZEUAcqAccokdkmgQkzFC9n61/boqZAhcvaojLw8psNESvi8gNuXBKdiRI5zRKtUwPWcjCQOjK28pBVeZu24rYovU7Qgwm/DBEx/7As/Hi3dWsTftY4NiAHkHR3ppgx+LQx5txPWakDCrOuCIEJVZs/IV0SJG0kNvECFkxXbANQbXjeg6wCK1A2NRizMfC4clVIRSCmAXdJEEMtvddH4WsS78qQwzsTTvPVeIA6ARjCbCaSXOZZkCRq0jbXHqstl8Mt2FwSUrDXKpEHoAkTCGMHvGQzPIV/QDVx3GJq3rJ7IlwtQungbXbXJgEFGY5n2QcTC0e/RqVq7WI6qzcuZJfE+uzMaouC4yS/LEEeXGukLpFg0ILkBBEDmoDI4HOQZKhPqtoxnzZWDoM+hbMCI7NELcEEeOQSqiIT8INCAZROE1POuU0wZfZpWv/JuMMjagujxjnTEkLyEttsEplwmzYDqukikboy3zXArJX0qJ3ORZngL8EdNSBcB/RNEDbATsdjuZAu4yoB6yRxCTlz1vGXODwgTV8DNHFAv6JNAzEAB+s4Mq2YLWETB9SiNfdjAzQAB0yXocf0m9DSEhXrElpcEgjTSpjwUBlTaj9TQYDWp8VrMHPXhlAjNilWSfVKpcxzacAINEODCUPQRUBw3ClBHDBB2x2xLrpyMBpmowOBpF20l9S1Omf0WBoDjGvX2M3rOzPUhaO2Zqj+uDCB7y+x3B8RVzrkEJjgXgj6wpkgNphgA5VkB3IAK4XbdxXTMdMS7jRhtyyx3xP/8aov/hAsgAlRw7pD+VVwd9TycgMvcwk4aRNHIPMaYfQRkWBMpwnrEtKtE1zHq2JjtNSDdi1YqdSJPjx5pSy0UoDhZBMMgPEYvkcmQdWXcIQkH6uMhj4pw+iCtwJwbxBwf3ZGczztREgklcxwMH83oQBIjxEEUHLxbAdt0HuppDLsNI8RM04a0zmOBDqQ70ic0wOVIy1iFQc+YAdzbZqVPROa+hJ5AM8nwQLKYkMGNnlaI3OpJ5DGRaDrsi4R007Ek/c2cAnbXkA1UYEwUQALfRKqBEuTczKYowOaQOAxXC7uhHd+/NTqGzjBcwlwgJAmDzXyMxOynhIerBKvPaaE/3zzOjpXTUxoSeO2Zl4QSEq0NJHXKTEiK8FOH+QQToO4l7Mubqfd4Xw5AqfSBNEGBQMQAAQOJFjQ4EGECQ8SUNjQ4UOCSyBOhKijhp02RGoUvEGkh44cOYrgwJFDh46SJOsUYVmkB0mSJ0lmKgISB50iQ3IEwUGE4k+gAI4EJdpQSVGkRHzEuUGjB5E6N3r2yJTpho4eRZTqyFRDTpw4MWq0LGKDRhwacjLh0OHjh9YhRDjZeRrEDlK8CJPk5QvgaN+fOuzg4LQRh50fROLmpMOWDpEiPk6iXEsnRyZNPezEJaLYTmdOQzLlwPEDCBE7On4A5iuANVLXr39iekoECP8dTIN1xMFxurNczp2H/DA9RHPjpqiH2JGjOciPHkFi0LHDSTbs60FjZ6f4m07jnkF0yKHzgxNVHJpI39ShCSuQuHGfB5ELBFOMHpyw1uYOVMTQ/ib6K8CHxLMhiKeAkCOHxH7j5EHhgPjBrR4q5KqGOAayA5M2nrLDhjqI+CGHIQic6I/tTFRoARUf8gGHHn7QITSPesBjCDq6iuEFFVZYgSAfV4ghjhpuMm8ktrL64bkSW3SIAQCdREgBKR2qgQgE4/iMiDhsuKnCGJckazkfeqCjhzp0sEGOIIaLoaMhbODEpyoTUiDKOgk6IE+FiKDjuR5wtCEHH+zY7Ic6cGD/KQg6dDiz0QNbukGTM4ug44W2nuLzIAQG2JQgAz49iAg5dIDvBxtyjG6IIYAwlCWP3PptOTuC4OGHTHQA4AU6OMHBhjaaFFWgPYYViCFjByotzt7sgA+Il+TY8ZIgV2AhhkniyKQHCXvIoTYf/ASgzB6SFaiAZEM11yPiggjihktq0Ey1uCb87i2WcmjUssuKFPEHFnolyVyB8kjWYHPdfQqHOPIDDUEc5LChJTiKFMxVHOrlJIhMvCOYIDw/HdDYMlGCUS4I3V2SvgdZSlmuIiB0LoePCwp505tFhSOxOTf+zkw66hCJLEvRNDoIPH4jwoaaC0rx05yHDa0IVCs7/1NNoss66TuTtbKuaYJMQHbYp5PdWFek5JALbIJEUJdsCJpGjYgc0CqNk6yHu+GFgWDAKsQg2B6ogWKNTSLumm8ITjiq5BhLBxoc/ezBjWMkVfCBGBhbVCWaqLmGPyGUC0v0WDopOgdDwwFzghBAeNgBEKhZrpJINRVlmGPu7AfciKyO9dYLh/1tcwkzFDLUGsOpiMs0k6u6mkQEfqAlJEq3aSAeZDW+xbQafXS8icBk+oEI2FxUPZouC4B4Y+yeaBHpqOFr8gU6Iuo8Pa35MzsydAi/HwirfgIo26b20rTjcQI6OfgMHliCBzxwwoG/AYKpBlhAPh2QbXGYEdHmRP8ETbDpO+MiDJ2ApwQM5imFxtrXgyLowJbMiVGEGUIdFEg+J6ywSjoUVWdMMprOeDBmiwJR/ZqgQdgJLnmQMQ9qfEAdlsWsZ4YiX6fMdQAJsC0HNvBBEGJoG0P9QAiM6tgQYEQ/1h0Af3XKQwPAVghDcCEDG+BB/GpAg7G0ZE1S2RL5hGcsJbCoZhj4Qgs20YIxuMFWd8Bb1rQiI6n4kWCxa9oh2MCDO8TQDS0QwwYygAUvTMIGnwnX6uqnv2Qp4Y/m+oIbNoHJTHJCCELYQQu+gAUOXMELbbhBHSJYPwCgMlnCNBcIdrCDV45RCJlk5ixvtQlXWiIEwCTmsEZmLkT/VOKYx9zEK3nwzRYs4pvf3KQYunCIKmSgBMBbY55eR7ArfIANbthmPd2ACA7Uc5tuqMQiPoAIQ2QAczysEhIJRohDfCEELnADPY/phgoYU5/65KQiruABsC2AoFJq57AyUIgNLIINLtiBCygwhonWswVcYMMOQHABsFmPYO9kWwcIsYUNfGARVvhASrf5hZbuoBIUANs1jTWAVWLuEBmgAhUWUQmSTpQL22QDFZqmAKOSTXbABAAhrrCFLoSgBTtw6A6meswvJKJpBKimsfLwB64SRAMXQIQ8GYrSHbAhC2Dbas2SQLy4AqADF7hABj4wBjYsYgNbAFtSzbUHwAZW/yAa2AIWDtEBsD2hrckSQFYlizkooEtwA9jTZ8lnULAJoK+mFdweNgo7JrC2tTQdKAL4INuP8SEPrzWXAAiwhxHgdlgR0INnpzcAJRjgtsLNEwFoG1gB5GG1zDVRAwywWckmIQ+lpS53FFAAtnZ3IKp0o3hZgwACGIC3ks3DEiJrXqA8QQmohe94zUeA6da3Ib/Frn4Jglwm5Ne/A9kDcgc8kQEcoQAG0MNyzRuBBJgPAUsg4IGLkgcFM8HBrOWDHpBrXAsThYBKKAAClKAHQbIuAibewxLyMAD6hvg65kOuAZzghI81AAEFUEIenitjJw2AgHrYAxMEcIQ8EGDBGqluQARYMwIRQEEBOyYAAZmwhyonoaNAtmYe9FCAPez2yOYrwIIRYNsmOxkAEXACH85sAPOhUABgJoASlHA+LjM3umwVMwGTkIQeVzjPgyZ0oQ19aEQnWtGLZnSjHf1oSEda0pOmdKUtfWlMZ1rTm+Z0pz39aVCHWtSjJnWpTX1qVKda1atmdatd/WpYx1rWs6Z1rW19a1znWte75nWvff1rYAdb2MMmSEAAACH5BAkKAAAALAAAAADIAC4BAAj/AAEIHEiwoMGDCBMqXMiwocOHECNKnEixosWLGDNq3Mixo8ePIEOKHEmypMmTKFOqXMmypcuXMGPKnEmzps2bOHPq3Mmzp8+fQIMKHUq0qNGjSJMqXcq0qdOnUKNKnUq1qtWrWLNq3cq1q9evYMOKHUu2rNmzaNOqXcu2rdu3cOPKnUu3rt27ePPq3cu3r9+/gAMLHky4sOHDiBMrXsy4sePHkCNLnky5suXLmDNr3sy5s+fPoEOLHk26tOnTqFOrXs26tevXsGPLnk27tu3buHPr3s27d94BSo4MwHjkiJIBwzsLJ0Bgz4EkeRDwkQKg+YAjEY8QyGNgAQARThQw/9mTJMmRPHnMTx5Q4PgSBQ0QLnBCvqFx53saFmCCIEnyxeXlQUAEETnBXBIG+VdAHnxU1ICASpR32BEJMGEREwQUgCAAwC2AQHwZLcGHAcAJlsQeBnD0xAB5QCDSAnnsEVxfwjlR1B8FMGAAEhveRQACTC2gRAEEHOGfEksYgB5zexTZ3IIEGECAEsEZuVUSSkDx1AMGGAlckkwoMJ8IA0kRBR9MSEnlEQjUhxWLbDUxZVUBDOBdW1IU4OZT5xVAYFwJUCmUcUockKaMVQqXQIN0wZgHdj5FZ9gBeew0AHPUHYaAEjjlccABjB3AKU1K5PFnY3PONCpkj8rEpmRSAP8ZE6iT/ZHfSz/mxIIcNtBhBxBEFCGsDXJkggMOdCRrxw/MNtusD8nScWwmNdwgbBFDAGEHHTbQAENLDBTgEhJLzMQCDTnYwQkR2gYRBBFEcMJJEULUKwQPzPqgLx055BDtvz3o6wOzPNgrRBHywuuuD0Fgu60cl5y0AAEtDSDBSnL0wMmxwAq77hA/2CEsEdt2G8MKAq2wwiVwxFHDy8j++y8OL9cQBxwxsDDQCnDw6isQ8y777rxFsKuDHJz8UANIToi7Eq0n2QAEEO8iTIQPONhQBBA9ZAIHACrs2uuvwQprRw/L/uDuu/C27fYQazN7tshFJ12ytyucWwPaRdT/gEMP8SI8tA40dNSE0yghR1IMQ9Twwx3wFvFDJoVnzAkeNfT6gxBB3JEwEe7+oPG1RAyRrR1nywww6naYXnbRPag9tLx3cH62DZngQUQPNbwAgA0a/xBvEFnToZET/5kkqUg9aEwEHbvbsIIcdHAChPCkA+FDDlrDW7IccKDsEc8+tz6vDTkMXLbuonPig9eX4DBE7LDLkdGqJiXvEQ54wH1JDAHLQRCEAK8hbA0HNPAdT1gQg0wMQV5DIAIPONEDHATBBi9wIOhwcJED6E8kSbAQSISXCTnIYQg5GJ4PJJeJiB0FeBtTl93owAId9CAIdrDIAj4YkiMAAiRI25bw/65ng6r0KoJE8BcRNuHCiRwAUiU5AuI6UoOkcUIHdmjiRfIGBzhcQg41g5kOxhgzHdygZjSAAwxURpJMqA10PyicRJiQhwCgxD9AnBcdlgYRONjgb2Qjmu7cRshCGtJtRIsXu85WQvtppAcG/IFEGrCHHPWoJMC5FRUpSIQfcCITA+kZJItgwyBE0GMKE520cFCEINzglTjIgQ6Odawx2pIOtqQlLTNhAx0UwQ43UBbVAme1IdhBB0FIWiZi4JAbkmxZjnTIHvKQgAVIgYc9XMIe7sQRpAFBDjqQ17XWBS9O8CB11OJEsZDVvB9kq5hIPKQ83xaspHXybBXEnR38hv+2B7YtmUHIAQcLEoc6xMuTNcjE1ZjpkCUoAUQNwB9JjrAAPihhOx3BASfo4MmiPXBkPagDIKuGsI+FjF85uFb/Toc6bR1zjDJjnSlPGazJ0aEOrYtgIkFnBxzYIRNk/IEP4qVMOiSTE0HQwRDsh8UfGI8hZjhAAabYBGyGpFwCKcAANGkRHZQzWCjUQUfxQE554WFkP9BBJjARhO2ZrCR+85UOapC+ZHoMqesiWlmXZYM4xOEG1utaQ6LwKREOhAlWBQn+DFAqiUaEDpLzl0avVQTd5QB+ezOgHRhG1Mqmsgd0yEQmKFu6pAWhWdrSljtNh0QIdvZaN8DBGMn2OpP/No+oQXgZ9DYKhP7t8SF7SMBBGJuSSw6EACWSiEYzcUN5/YCD8iPn1nLAUAC0TCCbJUIDbdg2yt61pPIKr3jHK148nNW74wwCEPZYB+uF1oQay4EB8yosOkTTIXrIg40MgtU7IoSORAKRQ3brA07c4CBSQ13ZSCZQYQHVDiQtGry01YMxUjav5IwXa1mLOtPdQXjd/aUNB6bT9DILWPOyXgSF98mIWFQBCHHsRBVSyT0wqiGsJAImGEIs+Z3XvOa9MLvySQOWXcKFLDgXDXglWhv0snlQbh4vnSwHGsTgEjTIshyQZYdyjvNg4yRr6WY5r+o6ZEGnKkhiQQLFhDxg/z9PIANDoAc4IthgY18biAWhJ7geHLBmOQAc0dBL6EIb+tCEtt5z6SoHncWABtXzrunuqxBRyeogbTZJATK1EAIsgQH7TUgNcIgJxxEwgj3N6xCy9lMsQ/oH/Ztd7e4FLe7ZoA1tiAGu2+Bk9KkuWra+Na5jIAfK1kDXvKbDwAZoNZ4KS9BL1QEe7LUJSS7E0grJdEn2kGaFSMEAHyJTQmLQtr0xd9CwEy0yU3xPbHUtfAxZWc9e1stb/muuL8NEF9loEBjQtctEwMFQUTk0j2GrBpeoAU43lhAEoIebB6lUSghwY4ZAIQ8LgMIUFqIDGwSBffLiKN3Qu66Q4bCC4P97wSX8nQmOGtBsaPsB1YYpz7VdT3R+9q772JZirtXAjOmKV/+w18khWLmKoDQIGZZwHoWIIEUpyYNhzyydbifEgUS7g8cqeINMyPKN6Ea0ziX8OaKW87wXDi8hB41UZnXOc4rMhPgEcgMkujPgER/ApRFCH5XsYeoO4U+oG/IDhCWrDi+3WshYTDqnUktyJjxWDupQh5i765DveheFe9Avtc4Sl4j3sqHJ6QM+GkQHdCBrDgzihOMwZAFTNAlzJuIEA8C4ITGoHuhyIAciyMEOZwUd0cBuVk6A+XOXAzIFa6ACWzGBAU94Ah+eAAFAmOEMaXgEJFYAgxi47MEfHdn/tmqgid++oAbQuzwnVm1nG8wPxS0uSKmiwBAMqQQ9FFmAHiqeEBqgTg7Yc167IwdxAADxkwkMY1bjlEqs0wNx8Agn0AAEsABnkAIsgAlyEAMvkAIp8AhocAYRUFEI0CZTdQALAAFSgH0psAIKJ2Zt5Wc/kANwoAIZ41TxMjXrkiwxwAlFRBAORTEMoSQqoTgVUQAQlxA2IDxkxTUpJC/Hl0iOd2UGEQF/wAeVNCR84CIU8QcR4ARpkgelsgcIMB9nsAKYIFbywgMeQ1Z4FXI0gy9JBwBNgB4F8Af6AYQoURwdVIcMUQMlVQdFQAe9VTQ+0FwjAzfQIjh2gAkQUGMi/4ACafBryUItNQA+ObMCKqAQYQMHNJA5mNiBJ8AH8IEGkCAHbDMympBQigQ3eUYAHnQAXNVpeHgSengRTIAEYaIQ0IM94vQ8pugDQ3BWYgU0pJMDKcAHfHAGNQBw5NWMakdMhZZXhIREe3QJUqAAH7IADTAFZqACLqMJf1MDaCAQjDUACqAlECEoxXWEFIFYSrBNCKFRSEUEXWdX37WAScUCjTCGJ3AJydI8v3J581Q6EyY0Ank5lKU7QVBBeRYDmbV+drBGHSgCC9AdTeAECGAoebAEswgRtZiHDKARSqIESNAcBjFaCNNsapgtnEU6OJACThAFL+Ar8URUzniTav9nOqIzS+CkObV1ORi2LkUzORW0TJlQB8nyLcShbSSRBLe3EdtxUUpQBqO2QgijLfOyO4HYA8CCB9+UAmZgTTNJB/0kehcmYfCiO2woTmKXaM+FhkWDei+QMUDgVXYTB0QQhzrElCMxAFDnEUwQJk/wCAlnQ9xldkMGCVLQAAzAB3+QBjizEHHwRU6mSwHjA5UnMJg5S8fCKzbwPzcQA+VHjIp0WtIiX/JyikPgRgJnSnpZEX3AlyJxBP3VERpTA2lwAicQAU+wAA8QAY5wBo+QmyGoABCQBhrFU9ICUtxiZXOnEVzkNzK3mh2FXu/CA3kZA5sFLEQgRxhRVSsRixr/QQOccDZtYwOZCABpkAaN8ARM8AfYdwYAJDzopy7g1TY6OWilc3P4FGVR1iyukz01KU5JU0GYEAfVIy8FBjrJtHoc0R8rEXsaUUV3eRA0ADhdljBdk3PiFEuBVE9o15afcz2bxXnShlbcc2wqsAIvcAOjBFQvl2I94J0c8RwrsWYUEQPCMlAKQT2vk5Ah2mynNTBooy+hk5Y69zlncwNxAAMR8wIvQAPoo2BbA2LGZ3isVHhAoDMf4VArIZsWAVggZlQ7dqHP1VEl53E39Y8dI6JZmUrOUnAJmWj7uSwIMwSaEAcqowmckAPrF0GUthG1mYcfAYDPY1DzqDHrwjsd/+cvKfRGRDVrQpAvhSgzl8ks9TJA9aJ1iQYEdeB16qJ11sNLeSYQ8XNaRCAEqAM9PhASEqcSYHoR7zI/8tJl54Vu6yJE0lJkz0kRKvBoNqA+eBBIZPVTFdRlCFM8waI7xsRcyakDIvGqKXEEVrcRVokwtqqQtUUykDVkZgQHL9CrGMFAf8R4aHlhNrRlPoCszDJjXypgHfFAspSrVbN+c0UtfwNanaR+4ZWpkypU+gJayYJ6/1KIQqU2BiNeDNplXFlPOQAECCME0vWaIMQSSQCvG2GKEZQtOvBFPYAHAfNxVtNWAoRLsYQDlNg3ctB1MaNscuMszCKw0tJICiWlxv9CsErlKz9KdtA6rSyhBICnEXBQeD07bphAkyXHNkR1MJ6zfkgVQaeltAwKLO4CBK5zpQlDTqd1VvPzmQhaBD3AElJgXCehdx/hfm0XEZcQBz5FBGRFp19VSOsSpELmAzZQiQoUSjqVQysRAWR7En/JETTgTrt1NgthAzfgSR9zgz2VgcQmWrREllG2SihLOQYYB0ckLDxXnklXB8mEQrvDEq3XEtLKEV4FBDlwA+rSSeuCA9+yAp7bMFeTTA4YA2Mzt2MUMKxjtRuGQ6jTPH9zLetFOTFAS+EnLM8lX8bEEkwgYybhvBkBPO8CvM6TluEVg30qQGVXQAI4BAzTn1H/9itTo2BEtZbslmJqYzUb5RIIgKMh4b4WcWebQK/I4rYQNnqlIy0uelK/hjbmUzZIiTbEVHK3pVfz4lTl6RLExRKxyhGZADT22Is9VX4xl5U1OZD4mZXLAloINFd/A3/1RE4VpE4tMag+mxJfiy1HJWbzE1p+Flq6hLKyRLAoG8N7A7aAVGJD6WdBUAfVBUDAxwma0BLQWxKbphJaszFjBAD4GjuR02wDecHE5D3SsmUNEU5F0IMrUcQkwYcpoVGeBATlp5QGwUWdWDNAFS2U+DL7NhFwMARo6EkUS4suQQCDZxI4ADo3YFDnOccD8QJ+JFotF1Jm1GReBBFx4EtE/xVaEeTHUVTHT4kSZJk06KezgsMvRhU4a1lApXPBbMcuyXKnCMNcwQI5IZM1ySQtLlG6URe0J7E39Bp2JAdBriM8crMsVFOvCalXKNQDbYBF8MIDPRCoKSEFJpwSgasS65W1imeulUVeNll8bOldoOM56MUueUnGLtEAEjpxLKEJisRi8yKpnLqAnXxSlQeQsTNMskzNbkvCM8EHHXl/K5Ggbls6gWgD2kwDsvVyC+l27lKTuTykfhYvxyRbvlQ1Q8OjMAEjL9HAH+FnFLS+D8EzVoZlKwtLNawJVRYHGcgC4lo9fgq2M4EASPDQK6EuTrUQN2wHbRBomtq0Ciu35f9bL8zCPcWGB4UXtjJBJC/hyiQBWXlFB6UqEL2HzR7DNTjwe4QDubVkSzqgCcbCS2CUxchSnaRzYDGhji3BjiWhvR8HOpIzyQnTuC5sPs+8vYYUXlonsT86L+qVTEj5ElzNEpGMEpqAYhP2o5z8yaBDYdCCNgBJW9ZLOmYpYlL9Lk/FwBAtEsmMxMI3MnoFp6aTeYYEN3DjdlSzLWNEU8CCsurCNjowMGY2rY0dEuK5EpegCSOzYNrCmZ3HmahXftIyRpLFZSWGVH5WB1oEADEgVOXW1acNEqm9EjTwbLK1ZVxJNK6DSPHStCGKVMeUCbnK0AYxtEVDoynBB8P9EfP/zBJIwzBgG1JNFAOYwFyss1m4NEtdB1jexUvGcllklAldVjWehKrajRI7RNczITx7JGg2qdS/V2EDK8OZcANaPBCidQOyhFPvIj/vbHzhxbcsQSIv8bctwWKcNwTSwmLsA1qxY9mdzLvxlGIYlpBXwyxCeVl0oM0n4UEoXRPztS6zI3PM8lFtk2GHNC8gc0x0hQPwdzmr+Ud0kLgU/uJc7K4zQTIIeEPItKwgA8PqdAPgiLKoN0bGUrkKFUwQ1nMi81QxEE6hxT1EoBLdXFycFhNA0y8D0Su5hYDHO16KVE7i5dZpVSw8BmEq8d3TunEzkUx/pFRFULkDK1AI3TCU//VTNnRToHVZsJMDvX0Qs+ROQwgTFDUTLwCIQYCdWmlM0kIsXqRyB/ECxJZQ/jJwokWWJGN6A3EJXvU3OWBt/vUSdgIT/ZJCUpZPw7Msy7Iv9etdnG1LAsVLZnMDEbNl7nIDMBVwcuADNvSlMKEEe5fSvaSnrIqqAWVAQQBUASR5NWBlIJ03MNAzKud9f3SZENZJPFlhl5BC9uXII9HdIPHYKLGQLP48eUuDDKtWWnMHldh1stQvIycsQ0B5nydSJcS26rJiXYYDRa0SUiDvH8HK9b4x9qUQ8WMHWseyV47JAx+XuCSzY3QD6OI9pQQTfhsTfG4SDYoDO7YQu8Lt2P8TjabDeTZQ2gThrCQDE6MLE/ALEgvpdUqFQARxCfQdcrg0s8RiQmjnA2AU37iULmBr7ADwe0kkWjcEEwqQ5CWB4SchBP0iBy+AA4UndCSDQD61uzLHMIjuMZfHWvGC9SeHQyfkoTHRvjEh8RnVcu/yqc8T6wmDRDr1Wmk3YXH9VT9w85qw8M8jE10SEwUgZy9B3zhgUHU2PyTfVvziZH5lEH5FbDZAwYEEVIV4UHPFLc0DExS/EgSghS2RT39DBGYkiIMueWQkLW2AXn8U3wRr6LBD9dalUZF75Cux+nseki5BMkPsEJpQSqdY+PDieAzxe5wQ46oP1CexLg9fEP7/NjqzJEvHgjuxRVlFDrleJ1BaA7aZQMZy0FvW/xLc8RIV1DysDgBqxbAl5LY3sGX+AhA9eujoQaTIQSI56OTQkQNHDTl4iMixkWMIETtDGP4A0NHjR5AhRY4k2fFISZQpVYI0sNLlS490bNQg0iPHDTs9fmSioYOTzRw5ihDJVMOGDTkU6xw8mOlGJoV0pOq0o+OGQDt2iACB2VUlAa9hUyoRWzZkHR1ENMX5YQdHj4xEhuTMYYMIJ04/fDi0QSNO3ziYoMLNGDfIEBxy6ADBOMQHR7NlpeyJXLnjAMuW6QQB8uPiDTkxbMDtgfAHHR9EVBfhdLA1kSBBfODom8kO/84hQA5nokOQSGavUCgDL3uSeOQenOjIwbEZb1U7QYb6sKmpLyYbgSvC9az6ruOkOIjgsNMm9/GXfAqgD2ucfVgiC+vkSKjjrdYhQ/AaZDrUYM295LhkBY9ewCGItoDAoQ476PjtvZQUAAvClzCj0KusYFDOB054oIOGF8p6QY6CamqjDoE26eHCkpg4gMWVFoCxKzkO42SupPQLQiocnEqqtYPsSEqOG5qTyo6hkkKSDhw4fHDGkAiYEEqSEKASJo04AcIHJIf6IYi78AJStSCqqoGGo55KqwjEZuJkNByKuBIkJciaU6Th7iTpBxxy+IE11ohoa6CCEOqBQRtdg/8tvzYE7OgSnTbLxD49O6qzUpDyxPSjHnDQYa4fOEGSiDp+0KGGSz5aQYVLarAtrxvoyIq20OhQzieC5tp0AAs3BUBTXzH6oYcQAaChByDaGA0TWXnwQaY22nhhCKb8wuStUG+0AY4gjIov1U2PcG/TKX0FIK+caAApLe/CxANI12IjQiIgegCzNR3o4M0OcztaYFxM7ewXgNt0eCwHwTDiTgeoZO2BDgYZw4s1IDkJIpMYBgaJD4Ar7bVfOB7OISMx5WoQhwMPCsKhfBFVjRPvNuFX44+Y6FjPJGgGKVBZs4W3PzaBaLCGGjySQz+dPUJA4HCT/kjQosVKixOnATj/4OY7k/ijagA65eytlzBJiyGunH6x3yQgcFqHMr37uT+Y5xKo0x8YCkKHOrheYuAjGtA5E4xgbrCN70xNrC8bdPhh3rvs8AxsrgFYr98BmNAZ5kw6kmO8oHBogykmC7qxT9XgiPwjpsO1kmbA7XhtCM46+xMhMC9SLT86Tv8o536VaClpHVhbPMy34yaCuvF0/whrPfOompOHIC8JzSDwUN4j5u9MXWMHObGtBxt487m/7pe7Xors5/xYZ7eIEAII298ugoc7btSLT90h4L3f9PuF1LX+bEUqMbgEDdqwhhZsQncNWF/TuFaDYfHnZ3h41/EmgYgLcAAEXejA6ZjQ/0BMFYAMXBuKvmjwpfjxwAWL+IIG2bAJHvBgEYcAQ+QQsD9zEUAKXCtIqOyVGjqM4QtfAMEi2BDDu9yBCJsQQwYi97uB5cEJkctBECzBBjaIAQtV4EIL3LCDIOBFCEL4wSZ2sAMXICJykxsYARTANUZogQoX6MIYWtCCL3DhC2eM4SbMeMYzzjBy29uUElansStQIQOI2IAY2OCCL57RBVzAAiAtCUg3fIEQkevflfKwt4Ft4QIbKGIlLmlJRUzglIBkAwicGDkc9ouN5jJEFhURyVXuYAyqxCQbWiCGDWDhlZzUGQgrhQg0fmERuTzjGChwxkoIsQteQEQHldfJK/9hc0bI3AEembmDL1QABBswxBauBxJtQimdLOKmG7iwSheM4QODuEAVNHDOkKwTRsDaVBZccEYOANIFbBhDFwyBiEPgkyTGxBRD77QFRexgEy1YIQi8cIgrmFOhJNmD82h2BMv1CwwZKOIHspCFYW60JLPUmEf7VQYMKHKEKk3JE2IZxZDSVKFncxoUdXq9BbCUZknw6U8jt4ByOU0JCTDq6fjg0kESsqn9QoBQuZaEBGxtqgPjww03eoCcbhVTC8iDQ2G5B56K9Uoukuo5j6CHAoxArVA6Q1XbulElLCCtc0UPH5yQh7vS9AgEyMMh+ZqZRjBhCfpUqBIGwIfDVsb/AAtwbGRFMlglvNGyMJESAW662Y/kAQlWBe1HDFDWwJa2I0kw5B6mqFonFGBpZlXtSABbgL2KdQ9LUwJja4vOAcjWAEpgQgRUGgXPImAJA/Dtb79CgCMYALKna8ACmEuA1DqXOOIawG67q9VK/WEPxEWAZ8WlXXPloQDiqpMSDmAAJjgBCsbNTASisAAmDJe5RygAVNF7uiMkQVzcVQJrfYeAAxwAAUzgA8dcmwAEwLesSRhAAAYc4P9u9sIXFnBzM/xhEIdYxCMmcYlNfGIUp1jFK2Zxi138YhjHWMYzpnGNbXxjHOdYxzvmcY99/GMgB1nIQyZykY18ZCQnWclLHGZyk538ZChHWcpTpnKVrXxlLGdZy1vmcpdhFBAAIfkECQoAAAAsAAAAAMgALgEACP8AAQgcSLCgwYMIEypcyLChw4cQI0qcSLGixYsYM2rcyLGjx48gQ4ocSbKkyZMoU6pcybKly5cwY8qcSbOmzZs4c+rcybOnz59AgwodSrSo0aNIkypdyrSp06dQo0qdSrWq1atYs2rdyrWr169gw4odS7as2bNo06pdy7at27dw48qdS7eu3bt48+rdy7ev37+AAwseTLiw4cOIEytezLix48eQI0ueTLmy5cuYM2vezLmz58+gQ4seTbq06dOoU6tezbq169ewY8ueTbu27du4c+vezbu379+hAwg4EkDJgCQCkmQeMECAAI0DDjg/ciRPnj0InPCB8IcMmT97Blj/PgKFAQICBJo7Fx5RQJ4EESAWKPB8Y/25A5YgFAGBwRIlSriXx30HRVeRHgUcUZEAA+ShxAF/JKFcXMlB1EQeCyzBYEFJMGHARUxIJxGDCxjABEEGELjWcQhYpMAABRyXRBMbGaDEHgQUMKBzShQk4BI0IsSHgmxtmFEEeYjnkRQMGLBjAgfoyCACCCTQ0HVrPajVHwYoaVYSenS1BAHODTiWilv94cQCByQpgBIE/LcVAWn9waaDAiiAQAEE5HGEc2gilceJdPFR4oAT+gQooAQ5t1d6POWRxBJ78NHHAgjsUUCAefbV4k0MOkkoYgnQSdMABPDxaU4vXCKHHDVk/yJrHbTWaisOstrw6iUv0IATAoGypMSqKl1yQw8/EFFEDZrQYQcQRBDBSRHUUsvJtdESMcS23Hab7bXTVlsEJ9naQQcONQxBhB092HBJSqbCJMAeKL2ACQ5DXAtttOFyEoQddeiQiRw0iLstEHYkrMPCDDec8LPbglvEq5no0IMdQSg7brZATBsEDnKQZEC8LR3Ro0hyAFEEDh1v/EMP0tqhiRzvKrTCC3HEUYMNPFfc8M+a8MxzzpessNAlsdoxLrLSFrFuJkTo4CtHZFj5UqIeXYKDv5wIwQMOODjdAw01D7RCDDzrYMe21QZxMRBABCF3xtnWXffcQcD9ssrWIv+sQ9BxsFDQCzXoMAQdNtDBgxDaEqEJJhtBQaxKBcTXEa75qkwEDUYDQEMdytaQQw/QVgsuEUH88HIQpmv7sMI/N+zsw2xXS0QdP8TNbxF4bHy4DT0UYQcOMQyUyb549KCDDRpNfpISH3KEibpEyFG9QJjUgQcQyYaLeg85JO70szjYkHPnIK0Qhxw24PDstT/UQMfF/RLxQxEf14wuHZwM8UPzKxkWR+xgvxoAQAfh+4EQ/JUxgMkBfT8hnA7IRcCu9QAHQcgEDTBIBI0UQCUn00gNyPUCHPCLCBXLYByYorXvSStjaBNeRtqUkjxwJBOc0AEPfsCJHGxkBZfIGQ3/hMYzTcROB+XjmRzOB8GPyAF0btNB/DACASKZRAkL4MgNOIEHHzAPImdjn8V+MIRq2UEHdehBHeygujYGoVvdauMPYKex8Z3xBjR4wUbqwLr/ZcSGJxFAFjeyxWjpQCF0kMPoWkauu/lPY3hoZOqQpTo12qpWbCTjtnpHrbxR74TWAhgOICeRGiRrXRphQrA+IoDoaeQGRMAB6XLICQIWIQcZmxa5XsYypyEsaDWIgxoEsgI1BDFn7OMZs46YRF0xkZgsQFvFQKesHKitdBtL2O1CZpA44IAO99ubHbhpET7QK5Be0kjGMkEHaUXSWj/QoA00kQkc6IAOAKhBrMaY/7HW2e2fAA0oJ502hCjiEQDmqgOugikHwzmNX0GAlfKkpS6pfbOWGOnDHlb5kSSkaiNQ42QP4Qe6cbmtB6Rr2saIgDA60CETwRtX/4bwOiCo8Yhqe5u6xAU2lz5rdxuzqQ6cVgddbZB14iqCumqwgmMNwaYYEQF2OOqRKWnEBy88FrkaKa1GPvRa1goCHXLAPuWRMyQxwAQ7MSaHTPBRY6cDK/72J60ftFNaPqTiAQhQRZQIIFMF2IMB+FARAv4gBjcoAlZ51y8gkDUOkYhBJiq4RnXV718+qIM1K0aHOvjgs599FtxGyz3Q9sCl9OTbLb/pgx/k0lqu0wHrnEVRi/+tS5cfa2JFmGBDPlC1I38VSBNyRBHrOfaE9xRIJmzAOrqNCwhrRGlXuQgur4qLX9XNrna1W7fqDnR8OcDEDTIBADhMtoyRBOu+DKiRPglkAb/liAAOQBAMTeQSQcDWD6ZGEDjogAg9QGpSr8tS8N0gBjGIwyVicLZWYYIGO9sZM8GmK4Jd4hIseEGGL4GJGuCgDpYdsLjwAGCFysF90yLCCjNSgCWQQSBMsKJJwjQQCBSAsBGhQb4ypoOyadW5AMaBjqEFBHYmq1rpzZbcyBjQ7drtYDxs2xuxO61IDkF5nc0XufJrh8INgQf90yNGzOmEgdAYJYAcCBMGCRHrtQv/d43kIuqCUId3bRAIeEDixYjQO2xpa47KC5fTFvYw7mkSjtwy9MNcOru1qdSk7MpEsrqsMxOKixNMI+VEXtQmBOBYIGk+CdYA4IQ9REEi7exBCeWKLdO9lsRnxMEMslmHTASTwQVZAQtosL7l2gCnCxPaEgOn4TjQQA6aeNagC4cxXUYrl/2zwQ1Ud60eTGQBeejTmEgmkFGXBE2YgoBEcBDlWILOB86OVp8BnIMbKE14w7MBr3V7kJshk4g+a1gSM6EJIwLMlkWoJ9N06b/7sZSLQ1Cbv5KVV4YwgQB7eBAWFRJf4BoEPE+YSA32RS4r//ffLN1ZDxYnhDvIFHVw/4OZ7b5LLQCLFm90+6fcutvVSweZqMyLgfy4WIQ7LHC/7GIIA/qEhPn8gSEV50gICaIACE0kbIqlVvfG9YN7+ssOtoYBAF4gWYvlN6mny9Ynt0t2beUtdWmkJu4sK+hx9XljdCgeAOiwCWrVISF+QJWDoACRpG9kCZYjiBQQcIAGSGSoilV1DFQuy69v+V/R6p4ugYA4ItxgvHTQgQ8c/S2yc7egcQM0zADMZLk6bebO1pz76l4ETRyk1BEfwKgeck6ULEHcB0GQAQLfENLRgH5ByEENUFgzl7KOXAjLl4hLLuIB+xlb2R2xTCWZN47rcsvCL5/Kx7U0VBKkQQ3Cvf9EwEO5TxsE2wjIuEMm+IMLD8EGSutfD7ZaBF7eswfKD2rlB3YDezJ6foV2Ma9zWpkHNjUgB/HnSzJzA0ZFA5qwRsoCNjDTL/3iLHWQYo4DAHuyB/phEU7wQTXEZgiBAHlgfguRLvYjBz1wA/mUAxtTLczXcgo1PedSAzGgdQWRYTRAA5hQRAETO+WjT0RTNCsAREPkPu9GB8wWBGAGfVdXUFzEA3fACWCDA2lQIkeHEQvAbSWRB/S1EC2WB43wED2gCfoCMzxwZSrDCT+AAzmAMXxmLf2TOgCjWoOmNgmjOnSDaE+lOgmDUgxzMa4VLbZTYJK2Lux1A6xjB9eiUMn/AgMLwAQswF4YQYKUc2YKEQFRMnsNsXiEiAe9EwQ6cAPJJy36dIo7c1fRsi1y80nfQmUABWXhEjfUY3rrEj5xcAOGgy1ctmIAEAHmlALQYgcaYQC1dxLo8RAIoAc54koOIQe9szophgNxsAKPgAZm8ABMgAAR8AR8EAGOcAaPwGsL1ioEszO6aE8/gytKRDQsUIQ3o3M3UFltJ2KYhgmCIxBkkCOAdD+H9EehZhLWIREHMAA3IoIKwQI4oAk1AAORgAJPcAALwAd8cGNpgAlMQ1M6AAlSsAAKEAUpkDTT5XllZzfgwkkkZlOZEAczoHMgFmc6wAJUwgcpYDH9430Y/zGQKcEcFKEAHlUACMAEUmAnB7AHT2IABrAAJXIjfCAF4ZgGj6AGCPg+heg3l4AGIhCJUoAGjxAJmKADoyU3o/UDoOVSODBea6iLzsJxsPUyylJkxfNAaTAFTPAIv5ZfrmVCd5cRjpISfWkRUdInSpAkg0kAT4ACKQCVKpAziAUttnhGxqUDlGgQfbApBhCUMxkBJ3ACZ4AG4pgCEaEzhrM22JIDMfAECMAAGKlS6BIt+KQRfxlIfpdjTyVkB3ddp8WGPqB8yHdB0/JUL8Vr7ygQjQAFfNAmZdImOnIAVJJteuAEECAFBqE+baU2ytIDmeADcfAITsAEZyAHuqRGYP9FBOElX7PJl0HyESOEkVulWZKZL9JCBIkELXhwA52lUtX1bHVELgR1OzWACQoWA5fwCBIAjHygAJjCnOnnByiQBikQCQtWA8fCAg1AeBHwCMOTCWXEfepiB3K3EU5wnhghSCFBA79pB/w1EHGgoYLmhKbDVdoCBNvSXdfCcvYYNTHwCCjwB8x4mQhgAJviHAggBSkAPqXDhv8FYNXmEU7gbSSRBFbzETGQYkDAXmplByT2LQ/VNBKDLTSlUDaACTGAMT/VOH4mXjlAB5aVXv0DBEi0K3GACXLAgK+CQUIwPq6XT5LlWRbkEaqkEkfgjB0xQoVTRy3HQ0NAjUWoMyj/NQQwVUHNd2l+JpZy5EY7FalsWAcbI5n5mE/zlwMdEzcq+JockSKAeowe4VrXIgQFBWaECDdvOXM1B1sF9S8AUwcIgzEx13ZTCIpJtS4zU5rzdwexRE6TSJoZgwcfEwQsiDHk1RH0sRIg+BEmxC90YHeMaDpIJn/aF29x8AL0thAsEAft81/4A4cec0EyhW4t1y/B1z8h80QIQy448BFcaBLT2hHq4oZSdGluujGckAltkAM+EATMx4u5ajvb8jA/eEQCuDYFN6vS5zQ8tFVtGKe/xwnQEgTMFRIBiYzqyQlw4CzKeq7+oiz+IpliYwNwYDSuwk6lc52C6FqtGFBz/7ZkgGZwSnWrPMRldQCekuksk7cuZwUS91oS6bQRI9QxWPVFAqGCeFAH7eRsk2RH5fOtRlOECUauPQNsDGgDwaRgnQNEauV1+NMvLfcvNYA/RSsSIsqX6kktK9gQLOBfVyZ5bdc1QiA3e4s3oPVZKHVaf6uHQlC40zdn2XpkRbCXLPG2I/oRsPRf+VKvCUEDx3KdbBcuWTpzeIM63cV9mAoENkBQ7HIDNfACUJNf/0W5jdu6HgGeBzhB0uJYwoNSNtAxjJM32vJStoYJ10kDsrIwLvUDaQQwaZoDmoBHyqID7MNv+wJkFnNLjBgzchqwLuG4FyEAvLcRHWMHLEgH0P+lLIRoUuFVp0XwNo+2paiTh3MEq0C1UnPkNOiCYklFU//DXDi5EhGAvRYhAHynnpaFf5/lL2c7fWDGSd8jZFDjPwlDKwyTeQ97qQLXT9SSXpyUqHSAl+30RizoEn+wdCgRAAwgEv8VBO+EQvLJZwB2LvMTYttaN3DUOJ1HYEGQWYkltx2zLgXcP8QIE77VuAgJEorrq/hTBzcQBxaDRPz2RUG0M1VoT7WCRFXYuzVjA/V0f3WgT3u2UjxseTKhAPy7IIIaEgbXcWRpwif3Mgo1UAxsLjgFMBETLjmwRo4ZVglzvgOzU5wwEyLCEs4DEtPLCZpgbQSBWO5Dwfhjs4r/vKEkdmU5kAkfWhA04LmbIxP5SjklYUp0QAP/VUva4i4JAUTrQ0RGtDBBIzS3Fq4EgcSYxmc9sDPXExNJW0MmwUceOk7TS4grqGkI0cRVuDC1ci4GWANBRBDtozRi5z6yxFIzEcYW8bEhATr+sjWZgAn342h2nDDQdmnW0s2RKmKJGgdKkwPk4gM04cwVIWMlEWiNlDwMOH/fzM3cF0mgWM9gN2dcSn//YhPoTBH9HBExMEECBlvZ8qJi54d/+LCqk74ilpI5/FLn7BLqnBLMlUMlZaNTCKOKDC48EEn2Y2KmS0BZWnVJyrovQQYdyBIFIJ0sATr8EzUoNJ1BlEzl/8owzWQ+1ajKAwFLBCSfydK2K/EH0IyMWbgSE8QJx4KDEfGOCSY06mjK7Vg0BgE2FBXJLeEEQy2QZcYSR80/DWcQcoCoslTHckiS1dU6bjpefDYEvugSfIAELmFfLR1LP0BiyTJKAnG7GstzDPRa02fWYKVLA+bRUvMSTADXLZEHf2wSmpAs8yNb/GK4vFNgSMWmq0hTFyO1KKXNX/eigY1UJysEPiB8LKEHmLgSX8gSKtgxNOUDeHZlhjpiYQdQNZq25gJ/shRlMmVSVQczP+C0KJGMLnHJLGED0oxkLaeyPHh5YMNOjCbFYHMDahVw7MQ0G5NfPysQLGADuSMt///11c8DwiBEEzd8RuCLn34mw6s4wwRduvhDB7xMEC8ABFuDUSoRmwFEEwXDhi4F3BzWf2nkWnPkh6ozUJgGMJmnCegS3wYxtT3sl/88ERF+EdCIUhTEn+CTAx+mVMSbvDTwjkVYEGpgb/OELNQyxfwJNxqLQQ/uVxPeHjUBM13WPU0Da7aSO3GsZU5ILtsCaGsETnxNUeM1BD7wrCnhBBOdElEqEwjoTmuDf+uizYaa3t2yL7vTLx2qTfaLsta7EnwwyynBiTCRxSpYwdX1L0gkP9QoKznQ5p1lMQHT5me5g8sicBUkMfIbB6OzEsDyEovNEvJpQpRYA5oKYGy5UtH/AjfVlzGyGocyxT3Bk0NTg8QXRMgp0cctkdoxoVQmLU0WMz/4l39ZKsNPRVNmGaZWvRA8tBKm6hKo6hLWYz8XE73yGTR5xALDSRBFOK7HXEZ2YE1ueL5AXRA44ANqw+owoeksAQM5AGBtkKhy4NqntUgEVIv3/GdtCDKXQAPgVD3k1kNiNhCSlTsHKEsrcdrn7hKiGDWZwKygmi3wPEdSa1QNNTDfOuJABAfItoL21AM+cC6aULsae0+dfAPWg0ZGTssvge4n0QNygJEfkwlKpXAwFTUnRkB2QDjq+NgXM2B/2Fq5k0bqMgQ7EwQ6hzGn1eIq4aQpId4mEXxqOuwC/1FC/pN59UR12EmOIa7rRdgrvS63dINpDxQTLw7jK9E/k8kQI1tGm+PUx3s/1UJ5LtXm4QO2a1tLa1MEEf0SRc8QQTYEDN5N7RPqGxrbCntGy8M5YP1+oDMT+ysvLMEusGIDUZOiCKgyUr8wZ/mfMxAH1youNzADc3rFmaep54tGOTQzFzMTHywv23sSzGUxKVTDPJAxdHDEgfsw2oLnkupdRYBEFrOGTwUtwA0TDdD1DyEAfeASCzOjSnhaspXe7D3YzzY3tMhSLoU/4VMEbaB5pd8SP3w1JpgSAWa58FewrnPEV5bmNFM2AnFhEVoxbMQJEvphZaSx56srr1wDCf8TE/AFEwMQxCgRURckW9Vc8cvyy/YENuLiprhiTQV4lktT+iwwQW1Q7FATE5jeEq3kEgABhEcNAAUNHkRYA4eOH0GGcOJUpEhEiEQa0kGY0aAcIkA0fgQZUuTBAyNNnhSpB+VKlETo9KgT5yOLGj2IFOmhQ2cOHDdq2MAhUaIOOTZqZMKBo46ONkWI9MjEAsClIW3sEGGZ9aQSrV1F5vEa1qAdHXFqDLGjSSYAOjguZspURA5SHXTq9Hj5Q2gRID3w0qGjA0cmOUUWXiViBwdZO2IdF0zy+DEByV5z2I1D4+qPIUQS+/0B5AfepUkHZ9Kxt06NuTguA/EcxA5sIC//iXAKUlmsAN1hB/TWSqOGRU2AczxlnakHWs9DYEPcO/G2c+acnuaYMVtOHR/Wk3oEnpV3+Ky/yWfV7LlH0kxAcNfJFKSIjhx1M2nSJLHNjbswdd7EYTnPrLvhEgAgOQ6r81Aab8GTGnQQJefqAMKOITKhAzGHrIvtB734Wu4HO0TsIYccehDIriAY8ugSHILgJMKRRChARpO4svGkFe14CUY7MInBMRYC7CEIzxQ7LEeQ/qhRSZAKYMTJkY60w8RM6qjjSB0ysQGTS15gwUCDvnwhjqIWyrIIO/zqyCUc5JBSoz4oizOjPKCoEySINDmrRKSKyOTEhjyTCCLrhhiN/yeddMIhPzpQ04GTIfLUiAmwKDUoDz4wzYgTTXr4oS6HZMPSjiCMpMjQQ0fzYc3AMsHEOqjoaENBTgtS4FJOlVjg1oNM/eG2xOxwtS07onOpLh1KA5UIhnogyy0iXqBDE18L0kOlW5VA4FoAdAjiDiGIqAEnOXQYEaoaNKHhEhakWoGFF1645Cg6ghUWhxo80sQibwHIQ1dOtfW1CB8IysSl4RatgaEffGBToqdAdWiIHmp4oQbvNCF2LW8FgBBTgm+1STYbYqAjCDo6g0g2aHNI06nLAKvDQs9uo8OG3P41CORrcbz23tl+4MFIYh9yakChKLoZ1Yk4EZFnhHz2Nf9kX+3gxK2KhmjLBjkKk4gwOdC00I46cBhiPpukPojqW632Fo8gYoghwBEJLXQIRHmU4wWEEo6R7YKWgLvOwn1NTBMdgKBhhZUuseGpOnYWnI/DpaRTcGIXGxCPiKKTlFTY/KLjxMYEBwCBy51kAvX1dBA2tjW5tEOhyZnmWgdoPRZc9Wu7Fdwvxcq94QZ0jezsVBiTx2OTEVFHKPNbDUAdtxFhu2npjv4KAhMA5ECLcugLatLXPTTH46aKfoAPE7OUWh77mXsY/6Dybz2fbU7q+IGTQO96DnQkdhs10aEINohE/TLlrZH9S3KsUcgNAEAEpAmlBnRIDHgUeJAjeEv/YP8iC7raggMbeOgqn1saJ2xyug0CYHVO6qDg4oADN9WBE57jkWtswom28E9SRMhEC1+opCFyShNAwEOhhOK567hEDjfAQUQ2+Ici2qiKeboKjHhws8+lKn1B4AwRJKhACFwxQmaMkwpvYIM45IBlE4lO3nKAFAU2AI0LEsAfoMeZh/XPc6qqCBHw8AMbZKJ/toLeAu54HgE4YXwxyISFICKED3CBCxxogfPkEAM50IETOhiC+FDHBPNUrQkKpIEhOdECEGxiE2zowhqKMJoRpQ8IOVDg/bbVuvHlwCE92EQX3ODKTSxiEUBA1VNaCADpva0k48PDEMz0gS8QcxMt/9AAJwMkkWV+8Fa6ZNu9eAAEMSyCDWtYAxsqsQE3/jCILQTatbzJthu05QNdsIIgJoAFDlihDTTUwTILssgFzRN1hbBCCyrBhg9kwQoXEGjbeEbQOiEik67cgQs+UIiILvBfFI1TNa15TY52lA8GpRRInQSGau6gBR8YgxsqYYWOAmAJ8fSVEk6pwEMoohLUbIEiuPAFKtQ0hjxrJuoM8dJF8ACjLdjAFjqKUkw9s35WqIQLeMAJa4KgpAIt5b9wirpDjGETPHDqJnYAyytE1HdSS0KvFGiIEFjCBS74aRbAEFEoJPVjLbzABAQxWKl2FAGREZwAxlrTDfr1o8BjbP8Lk6BSGQ0AnJEV3AHCCj0BDACymJUaHwxAWSIW4ABkAC3PEGCAoy5TsUxgQGpvJVqqKlAABTAAamVbJwM4tqMFIMBld3uePSyAAJtNrWXlOtzz8GEAeUAscw2ihCU0QLq9uelir3sEJRzgs9fVShOWQADtgne63DIvS3Bb3vRObQACOMJ322uQKORhAJOdL0uUMAAlEGABCmgvExDQX/bmdyQgE0AeLOVI2Q7guQVQAmkNbJDnepaxSpis2ybMSJAFNwEJOAIB9OAEKXBKBE5YwBKOgOD3anjDdaLuHkCmBwXwIbYO8kMUeisAAuyBAHko8ItzyuI8GGABCTBCkpV7vGQmM1kARniyAJCwAAPYF8FCBu0AVtxkLnM5ylCGsoSxPGYyl9nMZ0ZzmtW8Zja32c1vhnOc5TxnOtfZznfGc571vGc+99nPfwZ0oAU9aEIX2tCHRnSiFb1oRjfa0Y+GdKQlPWlKV9rSl8Z0pjW9aU532tOfBnWoOx0QADs=">
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">
<<include menu>> <<silently>><<set $CurDate.setDate($CurDate.getDate())>> /* https://qjzhvmqlzvoo5lqnrvuhmg-on.drv.tw/UInv/Sample_Code.html#Time */ <</silently>>\ <span id="agenda"><center><div id="Layer1" style="position:relative; left:0px; top:0px; z-index:1"><<include img_agenda>> <div id="Layer2" style="position:absolute; left:220px; top:25px; z-index:2">''<span style="color:white"><<= $CurDate.toLocaleString("en-GB", { year: "numeric" } )>></span>''</div> <div id="Layer2" style="position:absolute; left:220px; top:40px; z-index:3">''<span style="color:#6aa84fff; font-size: 36px"><<= $CurDate.toLocaleString("en-GB", { day: "2-digit" } )>></span>''</div> <div id="Layer2" style="position:absolute; left:225px; top:85px; z-index:4"><<= $CurDate.toLocaleString("en-GB", { month: "short" } )>></div> </div></center></span> <<timed 0.8s>><<set _periode = 0>><<repeat 0.05s>>\ <<if _periode < $duree >><<set $CurDate.setDate($CurDate.getDate() + 1); _periode +=1>><<replace "#agenda">>\ <center><div id="Layer1" style="position:relative; left:0px; top:0px; z-index:1"><<include img_agenda>> <div id="Layer2" style="position:absolute; left:220px; top:25px; z-index:2">''<span style="color:white"><<= $CurDate.toLocaleString("en-GB", { year: "numeric" } )>></span>''</div> <div id="Layer2" style="position:absolute; left:220px; top:40px; z-index:3">''<span style="color:#6aa84fff; font-size: 36px"><<= $CurDate.toLocaleString("en-GB", { day: "2-digit" } )>></span>''</div> <div id="Layer2" style="position:absolute; left:225px; top:85px; z-index:4"><<= $CurDate.toLocaleString("en-GB", { month: "short" } )>></div> </div></center><</replace>><<else>> <<timed 0.4s>><<goto $agenda>><</timed>><</if>><</repeat>><</timed>>
<img src="data:image/png;base64,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">
>Taille de la souris = <<print $taille_juvenile>> cm >Masse de la souris = <<print $poids_juvenile>> g >Âge de la souris = 3 semaines. [[Retour|souris_juvenile][$etape = 0]]\
<img src="data:image/png;base64,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">
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src="data:image/png;base64,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" width="35px" title="Analyser le sang près de l'intestin">
<img src="data:image/png;base64,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" width="35" title="Analyser le sang près d'un muscle">
<img src="data:image/png;base64,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" width="35px" title="Analyser le sang près des poumons">
<img src="data:image/png;base64,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" width="35px" title="Analyser le sang de la circulation générale">
<img src="data:image/png;base64,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" title="Analyser le sang près des reins" width="35">
<img src="data:image/png;base64,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">
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<<include menu>>\ <blockquote>Après l'accouplement de la souris blanche femelle avec une souris blanche mâle, vous pouvez récupérer des cellules-œufs pour les modifier.</blockquote> <div id="Layer1" style="position:relative; left:30px; top:0px; z-index:1"><<include img_cellule_oeuf>>\ <div id="Layer2" style="position:absolute; left:210px; top:0px; z-index:2">''cytoplasme'' d'une cellule-œuf obtenue avec 2 souris ''<<if $cytoplasme is "blanche">>blanches<<else>><span style="background-color:#836c6fff; color:white">noires</span><</if>>''</div> <div id="Layer3" style="position:absolute; left:210px; top:70px; z-index:3"><span style="color:#004ba0">''membrane'' d'une cellule-œuf obtenue avec 2 souris ''<<if $membrane is "blanche">>blanches<<else>><span style="background-color:#836c6fff; color:white">noires</span><</if>>''</span></div> <div id="Layer4" style="position:absolute; left:210px; top:140px; z-index:4">''noyau'' d'une cellule-œuf obtenue avec 2 souris ''<<if $noyau is "blanche">>blanches<<else>><span style="background-color:#836c6fff; color:white">noires</span><</if>>''</div></div>\ <<if $cytoplasme is "blanche">>[[Modifier le cytoplasme.|transfert][$cytoplasme="noire"]]<<else>>[[Annuler la modification du cytoplasme.|transfert][$cytoplasme="blanche"]]<</if>> <<if $membrane is "blanche">>[[Modifier la membrane|transfert][$membrane="noire"]]<<else>>[[Annuler la modification de la membrane.|transfert][$membrane="blanche"]]<</if>> <<if $noyau is "blanche">>[[Modifier le noyau|transfert][$noyau="noire"]]<<else>>[[Annuler la modification du noyau.|transfert][$noyau="blanche"]]<</if>>\ <button class="manip" data-passage="agenda" data-setter="$agenda to 'naissance'; $etape to 0; $duree to 20">Attendre la naissance des souriceaux.</button>
<<include menu>> <center>La femelle donne naissance à <<print either(4,5,6)>> souriceaux. <div id="Layer1" style="position:relative; left:30px; top:0px; z-index:1"><<include souris>>\ <div id="Layer2" style="position:absolute; left:210px; top:50px; z-index:2"><<if $noyau is "noire">><<include img_souriceau_noir>><<elseif $noyau is "blanche">><<include img_souriceau_blanc>><</if>></div></div> </center> <blockquote>''RAPPEL DES CELLULE-ŒUFS UTILISÉS'' - ''cytoplasme'' d'une cellule-œuf obtenue avec 2 souris ''<<if $cytoplasme is "blanche">>blanches<<else>>noires<</if>>''. - ''membrane'' d'une cellule-œuf obtenue avec 2 souris ''<<if $membrane is "blanche">>blanches<<else>>noires<</if>>'' - ''noyau'' d'une cellule-œuf obtenue avec 2 souris ''<<if $noyau is "blanche">>blanches<<else>>noires<</if>>''</blockquote> [[Faire une nouvelle expérience avec des cellules-œufs|transfert]] <<if $noyau is "blanche">>[[Faire des expériences sur le souriceau|souris_juvenile][$etape = 0; $sexe to either ("mâle","femelle"); $cobaye = "souris juvénile"; $init=1; $injection="non"; $injection2 ="non"]]<</if>>
<img 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">
/* on initialise certaines variables si l'élève clique sur une icone cobaye pour commencer son expérience */ <<set $injection = "non">> <<set $injection2 = "non">> <<set $ablation = "non">> <<set $ration = "normale">> <<set $microbiote = "microbiote d'une souris saine">>
<img 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