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";
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";
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Wu5rmvEfh6W/nF3ZFfNKhXRjgNjoQfWt8PKMZ3kYYiMpQ905XTb6bTrtJrdiACN6A/Kw7givTgcgH1rza90bULCAT3UAWPOCVbdt+vpXReHvEizKtpqLhZRwkp4D+x9D/ADrfEQ51zw1MMPPkfLI6iszUtdsdOyksm+b/AJ5R8t+Pp+Nc/rfid5ma301ikfRpu7f7voPeuZ7kk5J5JPeppYW+sy6uJtpA377xZfXAZLeOOCM8cjexH8hWCjNGQY2ZCBgFSQR+NJRXZGEYK0Uccpyk7tjjJITkyyH/AIG3+NPjurmI5juZ1PtK3+NRUVVkTc17XxJqtsQDOJl9JVz+oxWsfGCPYy/6O0d1t+TB3IT657VyVFZyoU5bo1jWnHZmx4b046lqm+YFooT5khP8TZyB+fNegdq830nV7nSpiYSGiY5eNuje+exrotR8VwCwQ2HzXEg6MP8AVfX3rmxFOc5q2xvQqQhB33LfiDXk02MwwYe7YcA9EHqf8K5XS9NutbvXZnbZuzNO3P8A+s/ypdI0q51m7Z3dxHuzLM3JJ9B6n+Vd/aWsNnbpBbxhI0HAH+etEpRoLljuOMZV5c0thtlZwWNskFtGERf1PqferFFFcTd9WdiVtEFFFFABRRRQB//T9OooooAKKKKACiiigBkiJIjJIoZWGCCMgivNdXitIdSmisWLQKcc8gHuB6gV2PinUzYaf5ULYnuMqpHVR3P+fWuCrvwkGk5HDippvlCiiiuw5AooooAKKQkDqQPxpaACiiigApRjI3AkZ5AOMikooA9M0eS0l02F7BQsG3AUfw+oPvV2uD8KakbPUPs0jfubg45/hfsfx6flXdivJrU3Cdj1KNRTiLRRRWRqFFFFABRRRQB//9T06iiigBruERnY4VRkn0FcFqfiS9vJm+yzNb2+fkCcFh6k12upRPPptzFH994mVfrivMB05GD3HpXZhIRd2zkxU5KyRraf4i1CzmVpJnuIv4o5Dkkex9a76CeO4t45omykihlPqDXldX4NS1WwRY4554kUYVHT5QPbIrWth1PWOjMaNdw0lqiXxHeG81mZgcpEfKT8Ov6/yrLpSSzEnkkkn6mkrojFRSSMJNybbCiijIAyegqhEttbTXdwkFvGXkfoB/P2Fdfp3hK1iQPfsZ5O6A4Qf41Z8L6WLHT1mkX/AEicBmJ6qOy1tkgDJPFefXxDb5Y7HdRoJLmkVI9K06NNqWNuB6eWKp3fhvS7lTi3EDn+OH5f06GrMmsWKPt80t7qpIq1BcRXCb4XDr7VhzTjrdm1qUvdVjz7WNFudKcFz5kDHCygY/AjsazK9UuYIrmB4Z0DxuMMD3rzTUrN9Pv5rVyTsPyt/eU9DXdh63tNHucdejyO62K1FFFdJzgMg5U4I6H0NemaRefb9Mt7n+J0G4ejDg/rXmddn4In3WFxAf8AllLkfRhn+ea5cVG8L9jpwsrTt3Omooorzj0AoqnfanZaeoN3OsZbovUn6AVDZa7pt7KIoLkeYeiuCpP0z1quSTV7aE88U7X1NKiiipKP/9X06iiigArB1TwvaX0zTxSNbyscttAKsfXFb1FVGcoO8SZQjJWZz2neFLS1mWa4la5ZTlVZQFB+ner3iP5dAvT38o4rTrO19DJoV6oGSYW/lVqcpzTkyHCMYNRR5uetFFFeseWFS2kYmvIIj0eVVP0yKip8MvkTxTf883V/yOaT2A9VAwMDtWR4huGjgjhQ48wnd9B2rWR1kjV1OVYZBrO1qze6t1eIZkjOQPUd68iGktT1KybpvlOaq5pU7wX8e0/LIdrD1zVM/KSG4I6g8YrS0aykmuknZSIoznJ7ntiuiTVtTy6Sk5qx03auK8bxBdQtpQOXiIP4EY/nXa1w/jSdZNVhhU5MMXzfVj/9aowv8Q9HE/wznqKKK9M84K1NC1j+yJJ28gzCUKMBtuMZ/wAay63fC+k22pvcm7RmSMLt2uV5Oc9PwrOq4qD5ti6ak5rl3L//AAmg/wCgc3/f0f4Uf8JoP+gc3/f0f4Vo/wDCK6R/zxl/7/N/jR/wiukf88Zf+/zf41x82H7P+vmdnLiO/wDX3HEXdzLd3UlxMxZ5Dk+w7D6Cofz/AAq9q+mzaXdPHKp8ok+XJjhh9fWqttDLdTLFaxmWRuirz+fpXdFrlutjhad7Pc9B8O3kl9o0E0x3SDKM3qQcZrTzVLR7H+ztMhtiQWUZcjux5NXq8ibTk7bHrQvyq+5//9b06iiigAooooAKZNGJYXjbo6lT+NPpDQB5Q8bQu0Tj5oyUP4HFJW34ssja6u0qj93cjeD/ALQ4I/kaxK9mEuaKkeRKPLJoKKKKok7Hwlq6yQLp1w+JYxiIk/eX0+orqK8nBKkFSQQcgg4IrodO8WXNugjvY/tCjo6nD/j2NcVbDNvmgdlHEJLlkdm8MTtueNGPqVBp4AAwKwV8XaWVy32hT6eUT/Kql54xiCkWNs7t2aX5QPw61zqhUeljd1qa1ub2p6jBpto0859kUdXPoK82uZ5Lq5kuJjmSRtzVJe3tzfzma6lLt2HQKPQDtVeu6jR9mtdzirVvaPyCiiitzEK7fwVb+XpUk5HM0pI+g4/pXFRRvNKkUQzJIwVR7mvT7G2SzsobaP7sSBfrXJi52jy9zqwsbyv2LFFFFeed410V12uoYHsRmkjhiiGIo0Qf7KgU+igAooooA//X9OooqC6vLazj33U8cS+rtjNCV9hNpbk9FZsOv6TNII476LceACcZ/Or8kscURlkdVQDJYnAAqnFrdCUk9mPqjqWrWmmR7rmQbj92NeWb6CsDVvFn3odLGexnYf8AoI/qaxtP0rUNZmMwLbWPz3EuSD9PX8OK6IYfTmqaIwniNeWnqxdY1m41iVE8oJEG/dxqNzE/XufYVmMrIxVwVZTggjkGvRdK0Sz0xd0a+ZMRzK/3vw9BWX4n0I3G6+skzMB+8jH8Y9R7/wA62p4iClypWRjOhNrmerONooorrOUKKKKACiiigAooooAKKKVCu8bwWUEbgDgkdxntQB0/g7Sy8p1GZflXKw57nu39PzrsapaTdWl1YRvY4ESjaEAxsx2Iq7XkVpuc22erSgowSQUUUVmaBRRRQAUUUUAf/9D0TUrxLCwmunGRGucep7CvNru6nvLlri5cvI3fsPYegruPFyM+gTbf4WRj9AwzXA134SK5XLqcGKk+awdevNTo13diGyR5JVziOLdxn2qCr2hI0muWQTORKGP0AOa6pOyuc0dXY6PSPCkce2bUyJX6iJT8g+vr/KumVQihVAAHAA7U6ivJnUlN3kerCnGCtEKKKKgs57XPDUd6WuLPbFcHlgeFf6+h964y6tp7SYw3MTRSejd/p616pUF3bW91CY7qJJI+4cZrppYmUNHqjmq4dS1WjPLaKspAt7qn2ezG1JZSsQPOF7H8hmtObwpqkZPliCUeqvt/Q13upGOjdjhUJS1SMOitQ+HtXBx9iY/R1/xqre6beWAj+2Q+X5mdvzA5x9KanF6Jg4SW6KtHcDueAPWt/RPDg1K1W6ku9kZJGxF+YYOOprqtP0Ww075reAeZ/wA9H+ZvzNY1MTGDtuzWnh5z16HL6N4Ynuis1+Ggg6hOjv8A4D9a6DVfD9re2SRQIsEkIxEyjgex9RWxRXFKvOUuY7I0IRjY83tLm90LUmBUo6nEkRPDj/PQ13um6hb6jarPbtkdGU9VPoara3o8Oq2+Gwk6D93Jjp7H1FcKk17pN3NHFK0My5jk2kEVvaOIV1pIwvKg7PVHp1FeWNd3Tvve6uC3r5rf41t6J4luLedIb+QywMcb2+8n49xUTwskrp3Ljiot2asdxRSA5GaWuU6gooooA//R9LljSaJ4pFDI4KsD3FcHqvhy8spWNtG9xb/wsvLKPQj+td/RWtKrKm9DKrSVRanl0VhezPsis7hm9PLI/U8V2XhzQTp2bm62m5YYAHIQemfWt+irqYmU1bYinh4wd9wooornOgKKKKACsrxJdmz0Wd1bDyDy0+p4rUZlVSzEADqSa4vxjqMV1Nb21vKkkceXcocjd0A/LNa0Ic00ZVp8sGM8F2nmajJckfJbptX/AHj/APWH613FYnhO0+zaLG7DDzkyn6Hp+mK26defNUYqEOWCENef+KL2W61eWFj+6tzsRffHJ/WvQa5jxB4blvLpruxZPMfHmRucAn1BqsNKMZ3kTiIylD3Tm9Gv5rDUYXidtjOqyJnhgTjp+NelCuR0bwtcR3kdxqBRUjYMsatuLHtk+ldfTxMoykuUWGjKMXzBRRRXMdIjdDXlUzM88rv95nYn65NerGvP/EukyWF7JcIhNrMxYMOiE9QfSuvCSSk0zkxUW0mjGowCMHoaMGrmlabNql0IYQdmf3knZB3/AB9q721FXZxJOTsjv9EkeXRrN5M7mhUnP0q9TIkWKJI0GFQBQPYU+vGk7ts9dKysFFFFIZ//0vTqKKKACiiigAooooAKKKKAOE8WalLc6jJZqxFvBgFR0ZsZJPr1rBwMYxxW14rsZLXVpLgqfJuCGVu27GCP0rFPAyeBXr0bci5Tyqt+d3O28H6jJdWklrO257fG1j1Knp+WK6OuZ8GWEkFvNdyqV8/AQHqVHf8AM101ebXt7R2PQoX9mrhRRRWRqFFFFABRRRQAU11V1KsoZT1BGQadRQBmNoGkM+86fBk8/dwPyq/DBFBGI4I0jQdFUYFSUU3JvdkqMVsgooopFBRRRQB//9P06iiigAooooAKKKKACiiigBk0Mc8ZjmjV0bqrDINUItB0qKUSR2EIYHIOM4rSopqTWiYnFPdCYxS0UUhhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB//Z";
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";
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"},function(t,e){t.exports="data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD//gA7Q1JFQVRPUjogZ2QtanBlZyB2MS4wICh1c2luZyBJSkcgSlBFRyB2NjIpLCBxdWFsaXR5ID0gNjAK/9sAQwANCQoLCggNCwoLDg4NDxMgFRMSEhMnHB4XIC4pMTAuKS0sMzpKPjM2RjcsLUBXQUZMTlJTUjI+WmFaUGBKUVJP/9sAQwEODg4TERMmFRUmTzUtNU9PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09P/8AAEQgBLAHqAwEiAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKC//EALUQAAIBAwMCBAMFBQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNCscEVUtHwJDNicoIJChYXGBkaJSYnKCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6g4SFhoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2drh4uPk5ebn6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYHCAkKC//EALURAAIBAgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDThJfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm5+jp6vLz9PX29/j5+v/aAAwDAQACEQMRAD8A9KopaSgQUUUUAFFFFAwooopiCiiigBKKWkoAWiiigQUUlLQAUtJRQMCQOtAOelYWu6qLPAB5JwBWlpsrS26u3cUW0uK5coopKBi0UlLQAUUUUgCiijvTAKQnApaY5wKAKt03y1RzuPNT3EmG61ABg5q1saLRD+gp0Qy1MJzU8C9KUhSdkXIRgVMKYowKeKghC0UUUALXPyn7X4sRBylrFuP1NbkkixqSxAwM1heHSJ7i+vif9bKVU+w4poT3N/NJmiigYtFMZgvU4pQwPQ0CFooFFABRSUUgCkpaSmMKSiigQUlBpKAFopKKYBRRRQAUlLSUgCkpaSmBYpKKKkYUUUUDCiiigAooopgFRNKFOKdI21CaxLq72zYBrSnTc9iW7G4jhhTqp2TFkBNW6iSs7DQtJS0lIApaKKACmTNsjJ9qfVHVpxDasSe1AmcFr90134gt7ZTkBskV6BpqbLVR7V5lo4a+8VyTNyFOBXqduu2FR7VctgRLRRRUDClFJwaKAFpKKO9ABRRRQAVBO2FNTHgVm6pci2tJZCfuqTQVCLlJJGTNqaSakLROT3I9avp0rk9CVptW8w9gWJrrQcilRm5x5mduMoxozUI9hRknFXbdcVUiXJrQiXC05HDJ6kq0+milpCCg1kTa5bprqaWrZlIyR6Vr5oA848eeIbzT9T+y27YVo+aPh7f3t63kEYgi5LeprC+IZMvidkXk7QAK9A8FaSNL0SIMuJXG5vrVkpHRUUlQ3Uwht3kJ6CpGYer3txLe/Z7U42jLH0qfw/czTbxMclTiqVhlra4vpOrk4+laPh6LbamQ9XOap2sSjYopKWpKCg0U0mgBc0UlFACGiig0AJRSZpsjYUmgBrSgHFPVtwrKmnPm4q/akleaZCldliiikzikWLSUUUAFJS0lMCeilpKkYUUUUDCiiigQUUUh6UxlW9l2RnmuTeczalsHatzVptsbc9q53R0M188p9a9TCQUabkzGTuzsbBcRirlQWq4jFT15s3eRohKKKKkYtJRRQAtcv4ruttuyA8kV0sjbUJrhtec3Nyy54FVFaksr+DrQfamkI5Jr0EsI48noBXLeEoNqlsd62NdvBaWEjk4wppy1YEMWuwzakbRDl161sg5FeY+CHa91q5umydzcV6aOgpSVhoWlpKXNSMM0maWigApKWkoAbIcLXKeK7k+Slsp5kPP0rprhwAc1w+rSC41SZyfkt4/1qKnw27ndgIXq8z6a/wCRJ4XixJPIR6KDXRGsnw5Hs00O3WRiea1kGWqqS5YIWLnzVpMs269KvKOKrwLxUerXyaZpVxeyHiJCR7ntRuzhv1LysM4zzTZ5VggeVzhUUk1x3w+1W91f7bPdtkKw2+2a0PHt+bHw3MqH95ORGv407A3ocj4RmfV/HdxfMSQNxHsO1eo54rzn4VWhVr25YcghBXop4U/ShgtEebPph1b4gyMy5igIZv6V6QihECjoBisrRtPFvPdXTD555M59q16bBbCGsbxHOVtRCp+aQ7a2TXO6gftWtwwjkR/MaEKWwt8ottJjgXgtgVradH5VnGvtWVqZ82/ggHQHNbka7Y1HoKb2BbklFJRUlC5pKQnAyaYsqs2BQIkpKKKACmscLmlqC6fbGaAZGZ/mxmnTP+7rOhcvNVm4fEdMzUropqN9xWvbjCVm2q5JatWMYQUMKaHmq7y4NSyNtU1mSS/PxVwjzFN2NCN81LVW0yVyas1MlZjQUlFFIZZoooqRhSUtFACUUUUAFMlbahp9Vbx9qGqiruwmYGsSZjaodCh2qDjk0mokuQtaGlR4CivUk+SjYyWsjdiGEFPpF4Apa8pmwlFLSUAFFU7u/jtzhiBU1vOJkDCiwrkOpziG2Yk9q42Qb43lP8Vb3iOYlPKU8scVj30fk2kaDqSBWkdiXqb/AIdh8uzUkdRmsHx7ekWpgQ8vxXT6cPJ08E8YFcTrYN7eSydUj4pLV3Gyz8ObPy7ZpCOrV3tc74OhWPS0KjrXRVMtxhRRS0gCiqV5qMFrIiSN8znAFW1O5QfWgSabsLSE8UvamSNhaCihqMwjgdyeFBNcOzEaXNM337iXAJ9K3/FFwUs/LU8ytjise+j/AHun2CjBABb6msqurt2/U9fBx5IJvq/wWv5nR2UQgsoY/wC6gFW4lyahAxhR0HFWrdOa2eiPLqSvqXIhhRXE/FHUDFp9vp0bfNO29h/siu4UYryPxfcnUtd1K6zmK0RYU/3icf40RRkdf8MrbyfDhmI5mkJ/AVm+Obj7ZrsFiDmO1jM0n1xxXV+HLddP8N2kZ+XZCGb8s159eTG7g1fVev2iUW8XuM4px3CR13w9tvJ8PLKRhpnLmuq61n6HbC00e1hA+7GM/lWhUsYAADAoNBqMypv2Z5oAJn2RM3oKwNGHn3tzdtyM4H4VpazOILCQ55I4qppsf2XRtx4JGTVLYXUhtv8ASdad+ycV0FYfh9dwkmPVmJraDAnGaGC2HUUlGakZWv5hDATntVDSZ2uGLHpmqnia88uAqDy3Aq14fi2Wyk9cVVtCd2bNBopKkoKztRkwpFX2OFJrHv33NimiKjshtkOrHvUtyeAKLddqgU2T5pgKCLWVie2TAArRHAqpbr81WzwKDSK0K10+FNZY+aX8au3r8VVtV3SZrppq0bkvVmpbrhBUtNjGFFOrne5YlJQaSkBboooqSgooooASimNKqnrSq4anZgOrM1CTnFaLnCk1i3bbpDW1FXkTIzZV3zCtjTUrMVcyZrbsF2pmumvL3bERL3aiqsl0qNjNSCdSm7NcLi1qaXRLTJG2oTTI51c4BqDUphFbsc9qQXOL8S3zPqMFsjH5n5xXYaWNlmCey15vG7X3ipT1VDXpG4Qafn2q5bWEY90Tc6sq9QvNQaknmajbQjoDk1Z0lPMnlnb1qOAfaNdZuoTinsBrajMLXSyeny1yU8bR6Q0h+9Jz+dbPiafzDFZoeXYCqWqpg2doP4nGR9KIiOi8PweRpkS/7IrUqG0QR26KOwqY1m9ygpJHCRsx6AUueKy/EF19n0yQg/MwwKCZy5YtnKyXTah4kTJyqvgV3i8KB7VwXh+2ca1GGHIG413NxMsFu8rnAQZoObCv3XJiSXUSTLCW+dugptw2F4ritOvJb3xKszE4YnAPpXWXswjRnJ4A5po6MPU9rqjmNQb7b4hig6pFyaRcXPijcuSsC807RMSSXd7IPvE4J9KPDy+bNd3Z/jfArFa2fd3PbqPkUkvsq3ze5vINxrQt1wKpwLzWjGMCtWeRJ3ZW1e7Ww0m6unOPLjJH1xxXk4gc6Xp0TKTNqV55re4zxXa/EW5Y6ZbabEf3t7MFAHcCqDWqP450nT4x8thbBm+tUtiep0Hi2/8A7K8My7PvsgiT6niuRuLMwWWhaQo+eaQSyfzrZ8V51TxLpmkKcoG82Uewpdi3nxBREH7uyh/U0dBbs7GJdkSr6DFPpM0tSWRzyCKFnP8ACM1yHh3U5dU168bcTFG21RWn4xv/ALDokzKcMVIFYfw3tjHYPcP1diSaa2J3Zt6+5luLe1H8Tc1Nq7/Z9MEa8EjFVoh9s15n6rEMfjUmuHzJoYR/eFMT2ZPZYs9LDHjiodFvzeyO4+6CQKp+J7z7Ho7Kp524FP8AB0Bj06Mt1IyaA62OlpkjbUJp1Vr+TZCako5PWSbrUoohyAcmup02PZbj6VzVqnnak8p7cCust12wqKuRMSWikpagoinbCVjSfvLnHpWndvgGsyLl2amjKersWU7n0pkQzITThxF9aWIYXNMC5BgDNSu3y1UWXaMUplyKErsu5Uu2y2Kls04FV5fmlq/bLjFdMtI2JW5aHAoooNcpYhpKKKALdFFFSUFRzPsSnk1RvpcAiqhG7sJuxnXd/wCXLjNXrGYyAGuXu2aW+VR0zXTaYuEFd9elGFNGcXdl25fbGaxX+Zia0b+TAxVFV+XNY0VZXKkQqvz4rWVhFbZ9qzYF3TD61Zv5dkOB6VVRczURLRGDf37HUUiU9TzWjLd+XbE56CuaGW1F5m6DpVy5kZ7bA710YyEYQikc86lkbOi3DT/MTxmjxDc7YGUHtTdFTybYE+lZ+qyG4nZeoFeclqa078upkeG7TOptKRyTXX6zN5VkEHUjFZOgQhbgn0qzqrme/igHTOTTe5oXNPj8jTCx4OKqaFgyzzN/eNXtTcW2lEdPlqjYsLXRWlbglSaXQZXjQ6h4hMnVIePxpZB9o8TxIOREuas+HIytlJcv1clqg8OqbnWby5PID7R+FMDrVGFApe1IKKzGFc1r8hutSt7NeVB3NXSMwVCx7CuVs2+0X99fHlYwVU/ShGNbVKI/QYxJrd1IBxGNoqz4ruSlktsh+edgoFJ4Uj/0OW4PWVyfwqrcn+0fE4TOYrUZP1pmW1JR7lTTbcJ4gWNBxBEM/WrviO68vT5AGwX+UVBoR82/v7vrl9oPtUGtH7Xq1paAZAO5hmpm7Rdup6GV01dSe2r+4fhbHw6SOGMf6mpfD0PlaXGTwXJaq3iV9tlFbr1kcAAVs2cPlwxxf3FApJe/bsjqqzfsbveTbL1uvQ1dXriud1rXI9JMMWN0spHHoPWte4vEtdMkvJDhY4t5z9K1dKSiptaPY85STbOSmca38Ro0XmDS4yWPbdT/AAsft3izWNUb7qN5a/hVfwdG9toWra9P/rLrcy59Bn+tL4el/svwHd6k5xJOXk+uelINiz4cP9o+J9V1Z+VhPlRn0A61N4PT7Vqep6kf+WkpRT7Cm6On9keBpLhxiWWMyN7k1oeCrU2/h6EsPnky7fU80MEjoaKKjuJBFA7nsKko4fxrK17ci1TlIxuatjw/Gtj4eB6fLWFJmaGa5b708mF+mcVu6i32fR4bdOr4WrfYhPqT+Hoz5Ulw3V2JqJ28/WDnogrRtUFrpgHTC1kWjf6+c9ycUkPayMjxMzXl5Fbj7u7mur0WERWagDtXNpF5t75jDvxXX2ibLdR7U5bBEnrI1aXggdhWq52qTXP3zmSQj1NShsj0yHDAkcsc1vNKIwFrNsECtn0FVr68P2sRqepqnqK9kb8b7xmnE4FV7LPkgmpZmwlSMoXj8GqyDbGB3NSXB3MFpOsgX0pmT3HsPlC05uFAoxmT6UyRvm+lAyN35qRDhCarE5apicRVpTV2JDYhulzWnAOM1QtxgZNaMWNtVVZcSSkopCcVgUFJSFhimb6YGhRRQelQURyttBrGu5NxNX7yXahrIY7gTXTQj1M5MpW8W67LmujshtjzWPbphs1sRnZB+FbYmXNoEdCpePulxSEbYc+1RZMk/wCNTXXyQ4pWtZARWh+Ysah1GTdkCnxHYhNV5QXya0ivfuS9jBuv3XA6sa04ocwIDVCeMzalHGOgOTW60exFFGNneyOflu2SIwitj9KoLFuR5D3qS4k+UIO9T3CiHTs98Vwo6Y7EOiDaskh9afYJ9p1V5DyFOBUUD/Z9OJ7kVo6DBthMpHLc031ZaK3iaQlI4B/EwFVdVfZYRWqdZCFo1WTztaij7L8xpgH2zW4oxysIyfrQkI1pFFloRA4wtQeD4itgZWHMhLH8aTxZMYdL8perYUfjWpokIg06JcY+UVPQpGhRSEhRk9KoRatbTXptY3DOOuO1EYOWyBuwa3c/ZdNkfPOMCsMqbHwq5P8ArJhk/jVnxHIbi5t7FT99sn6UzxJgQ2lmvVmAxSOWo7uT+Re0vFloCO3GEzWVpBMekX+pSfflLEE+lWvEcpg0iK0j+/LhQKj1sCx8MpbLwzAL9aBS3f8AdRF4fUJpIcnmRi1UtKBu9Yubo5IT5Vq5OwstAHIUiMAfU03QIDBpqs3WQ7jUtXkl21PYw8fZYZvvZfqypqebnX7W2HIjG5q6SEAAseg5Jrm9M/0rxBd3HVU+UGtTxDdfYtCmdTh3ARfqf/rU6MHUnZdWRjJcijHsv+CcVqdzJqOuNcHJjacIn0B6V1nj27a38OpZRf627ZYgB+tYdtZbNS0azI+fHnOPc8/yFaGrE6v8QLGwHMNkvmv9a9bMZRtCMdkn/l+hwQWhN4kX+yPAcVjGcM6rCPcnrVPXYtumaJoEPHnMm8D0HJq141b7XrWi6aOQ03mMPYUWAGp+P7ibrDYRiNPQN3ryy92WvGrCDRbfT4uDO6xAD0rpNPgFvYwxDoqAVzGuf6f4v02zHKw5lb+lbWvatDo9g00hwegHrSY77s1c1i+J7kw6ayIfnkO0fjVzSrlrqwjnYY3jNY+qN9t12C2HKxfO39KFuD2KUkAWewtQOh3H8Ku3f+k6tBAPuxjJqKIiXXZX/hhTFWNFXz9QnuT0zgVQjQ1V/JsCo9MVig7LRUHVqva9LkpH6mqMQ8yUDsooWwPcktoh9pRR610qDCgVg6cu++J7LxW+OlKQ0QXj7ITWGRukya09Rk521QK4HuaEJliE7IGasSHNxqrHsprWmfZbH6VR0mH52kI5Y1SE9zpLcbYhUdy3ap1+VB9KpTtljUDk9CrnMpPpSwcuzU1vljJ9afAMR59aZktyQcAtVaSTGTU0zbIqypp8DFXCDkEnYtxnJzUsnQCqtmd9Wjy/0raMeVhHYdvCACrUcvAFY9zNiYCp4J8sOaJU7q5aZthvlzVd5eajabEfWqTz5JOa57FNluSbHGab5vvVASlmyTTvO96LCudTSOcKaWorhtqGoLZk6hLk4qvGmY6J/wB5N+NWgm2Ku2PuxSMupBEvzgVcuG2w4qtBzJTrpskClJXkigtE3SZovj8wWrNkmEJqhfSASE0RfNUB7ERPGKfsxCWNQQnzGq3efu7U/StZaNInoZOmw+bqDyEdDgVoag4iWl0aHCFiOtZ3iOfy1PPeufEyvUM5e7ESzY3N2oHQGr+snbEkQ7mq/hm3zGJG6nmk1ycLdqCeBWXU2joiG4bKxQj+IgV09qghsfwrmNMH2vUFPVUrp71xDYt7ClLsNbHIyThtTuJSfu8CtHwtCZZJbpxy7cfSuaafzGkCn5pHNd3otuLbTkXHRactECMXxI/2jVrO1HOXyR9K6mBNkKL6CuUiX7X4vZuqwp+prr+g+lTLoikZHiXUfsOnOVPztwo965HwcZDrE0k2d23JJrW1Y/2nr8dsOY4Rvb61nadKsFzqUy8bflWvXpJUsLKPVq/+RhKVnzM2NNzf+IZp25SL5VpdQ/0nxRbQn7sQ3Gr3hu2+z6YJHHzyfMTWPbXI/tq/u25ESkA+leOYv3Yxv11JpSdT8UrGOYrYZPpmk8VOJbuytuxfJqz4WgP2aa9k+/OxOfas/Uf9I8UxLnIiXJHpTLjG8Ff7TI/EJMhtrNOS7Dj2rVmYW1kx6BE4rItx9r8SSSdUgGB9at+IZvK0uQd3+UVmn8U/60PcnHWnS/rUZ4ViJtZJj1kkpmv51HxBp2kryit5kn+fp/OtXRIBbaXCG42x7m/nWT4ZP2vVdR1qX7qZVD/n2rswMeSLqfyr8Xoefip89Z+v5C2BSbxvfXBx5dlEQPbA/wD11H4CQ319qWuS9Z5SiZ7CsgXr2vh3Wb8H97eS+Uh7nJ5rtPDdiuk+GraEjDLHvf6kZNaY7Spydkl+BlDa5zN7crJ44vLtjlNPtjg+hrW8BWzJo730w/e3cjSEnrgniuHe5e6e9EZ/eajdeWP93NepJGmm6KEXhYYsfpXIxruYOj/6b4x1G6/hhAjX+tc74/vJL/WI7OIny4iN31roPCzC20K81KU/NM7SZrnzaNMkF1IP3t3OG/DP+FFri7HoGnAW2jxZ42xj+VY+jfv57y/b+IkKfYVd1mc2mi7V+8V2j61DEg0/w5zw23JpDe5mWcmyG7nJ+aRzit/RIfJsFJHJ5NcvZbppIbcdGbc1dpgQ2uPQU5BE5zV5t99jPSp7FNtu8prHnlM+qFRzzW/Kvk2Cr3NAl3JtGj5Z/U1qscKTVHTAEtxnqasXUgSEmpe5S2MyZ/Nuce9MmOD9KrW92jTuc9KdLLvdQO5qiU0wumJhCjvVrT4tu0AdKrsu6RR2FaNivzZoew0XJDtSqMnNWrluMVV71IpFe4OMKKnjXCAVVY77jFXRwufQUyI7lO9bjArGnyXArTuW3MaoFcyZruoKyuZy1L1guEzVhztQmmWy7YaZevshP0qXrI0WiMqWXdcH2qe3kwc1m78sx9TV23UkAVtVXLEhMuXF3tTrVWOclDnvSXKknHpUP3PoK88HItGULURmOetVDNual3UC5j0aqd8+ENWz0rMv2ycVNNXkdMtinEu+WrVz8sVNs48tmnX57V0N3mkT0KsLYyaM75Kj3Y4FT2ibpK1emolqaCjy7f8ACua1a42MRnkmuluzsgx7Vw2oyGfU1iHrVYGHPJthU7G7pKFlUn61Nqsg+VPWp9Oi8q3BPYVl3kvnaisY7Gknz1m+wnojZskEdrnHauP8RSGbUYoF7tzXaH93ZfhXHxRG78QM5GQlccneTZM1dpHU6VAILEHGMCuJ8U3xXUAinnNd/IPKsT9K8uu1bUfFgiHKocmlHc2sdv4TtWW2WRx8zc1e8SzeTpkh9FNXtNgENqqgdqwfHM/laTKO5GKW8gOP8KE6jqg4JVDk16i+IrQ9sLXF/DrS2htPtEiYaQ5rrdYmEGnSueymiW9htWMDwoTPqt9P28zAP0rpr6cW9pJITjCmsLwXBs04zHrKxb86PFt0/kR2UPMk7bcVrSp+0qqJMnZFXQ1JtLzU5fvS5IJ9K5/TCblzAuczzZP0zXVaog03ws0a8EJisPwPaebdmZhwg4rvqT5qFSfdpL0Rz1VdqKO3IFvYkDoiVwQmLwzRx/fupcYHpmu31qTytLnf0U1x/hS0N1qYlflIRu/GvKIxCcpxgjsYIRaWEUKjARRXIxT4v9QvmIAjBVfrXValOIraWT+6pNcGGZ7FYVH7y6lz+FKb5Y3PRo0lOtCHTc3fDcLJZvcP96Zs59qr+I2Ms9papyztnH6Ctq2iFvbRwj+BQKyHX7V4sgjAyIVyaia5YKJ2wqc1aVTtdmh4ivP7N0Fgp/eSjyl/Lk1DFD/Y/gV88SPFuP1aq2tD+1PFFlpg5jh+eQVc8dy+VoKxjgO4H4CvXowsqVLrJ3f6HkN3vI5KKE3tzoekLypf7RMP8a9D8QT/AGTQLuVONsRx7Vxnw5tmutSu9Sk5EaiKMmug8fStH4XuEQEtJhcD61x4iXNWk/NmiVonEfD2zfUdbWaQZitRu5/vGu/8ZXRtvD0+04ZxtH41T+H+lf2doSSOuJZ/nbP6VH44bzWsbTP+smBI9hzWK3HLYrX/APo/h2w0uH79xtUgenepJ4R/b2n2SD5YU3EfpSadH/aPiQynmGyQKv8Avd6s2REvia8uW6RKFFMncl1pvtWqWtmD8qnc34Uniu5WHTREp64FZSahv1S6u+oU7V/Cue1rVprq5SN+5wBWftEpqJ0rCzdF1eh1XhSEzSmZhwOBXSarMIbJyfSqfhq1+z6emRyRVTxld/Z9KlOcHFXuzDZGF4fYXeoSSk5G/ArotVmVNq54Fcb4WmeBVYjg81p3t6bi4RM9TzUxqKT0Na+HnRpqUupuW16TKkS1Z1e42Wh55xWXpqgTFz1qfUn84hBTTTOW04xvI562eRSSSfnati3kDSjJ4UVn3qCDaKjjuSkZYd6bfKrhhaUpy5UdEsi4LVcspxsJzXK/byV2irdteFUC5qedWudE6Uoz5UdJJJvOajkO2MmobRzIop12cKFFMxloQ2o3Sk1bnbbHUVknGabevziqirslaRKcnOTVcL8w9zVgjimxLmUCu6OkSbF1BhAKzdUk+QgVqP8AKlYWotuYClSV5FS2KcSZZR+NatonU1St06tWlbjEf1pYiVzPqRypyTWXfybFwOprUuWxxWDeEvKfQVxil2EtyWarmKgtY8DNWOaZKPQnOFNZNw26StK4bEZrILbpaqlpqdcmX7RMLmql+3z1oQjbD+FYuqS7NxzV0VzTE3ZECPvlwK17CPvWHpf70lveumtU2xitcU+X3RQK+pvthP0rj9PgNxqzykcA4rr9TjaSMhe9Z+laf5LEkck1WHqqnSl3Y2rstzsIbX8K53TmNxqjv1AOK1tcn8u3YD0rN8MREkyN1Y5qaGlOU2ZN3mkb+oN5dmfpWP4ftt0zzMOWbNaWrsDGE9eKsaTbiOAHHauO5oleY7Vn8uybHYVwvhSyNxrNzeOOC+BXf6hB59uyDuKp6PpiWKEAY5zQnZGpqou1APSsHxHpTamixZ+XcCa36TFSnZgVtOtFs7VIlGMDFZHjKfytKZQeX+X866GuQ8YOZryytR/HKM/QVUdWI3NDiFvpMS4xhRWLb51PxS0h5jtuB9a19RuVsNHLnjCcVW8KWhisTcSD95Odx/Guqj7lKVTvoiHrKxU8eS+XpSxj+NgKteELP7NpKORhpOazfGp+0XdnaL1dxmuqtIhDbRxqMBVAq6z5cLCPdtkqN53ItUtTeWTwA43Cq+labHpdp5a4LtyzetadQTvgYxXCjRQTlzGH4luPL0uX5uW4rndDQ3WoxE/cgXP41o+LZ/3EUWPvNmneGbfZZNMRzK3H0FTPWaj8zsorlU6npFfmzYPPWsfw+Vk1TUL5z8sY6+g/yK07t/KtJnzjahNc6s/2DwdMy8S3shRfUjpVxg6taFNdRc3JQnL0Ro+D4mvdSvtXkH+sYon0qn8SrnatvAD0UuR+ldT4esvsGi2sGMNsDN9TzXI+Irf+1/GkNl1QbQ/06mvUo1FLFSqLaKdvkrI4GrRUTofBOnnT/DdsGGJJR5jfjWzdWsV0gSZQyjnBqREEcaoowqgACn15TetzUbGixoEUYAGAK4DxbeqPEaHPFvETj3NegMcKT7V45rMz3vi+dFOVDAH6ChO2rDlcmoo6rTLk6bo/mYzPcEufxpLS4Nro11dyH95KSasw22dNe4kHRcLWHqc5kt4LGLqzDNYqb5nJ7WPTnhoezVOC1va5e0WzM9szkcHk1hRWn2zxWkYGVRsmu8tbcWWi9MHZWJ4S09pNRmvZF+83H0pRj7ybKrVV7GUVtokdrbRiK3VR2FcV46kaYx26/wAbgV3R4WuU1SxN1q8TEZCHNay2ZwUIqVRX2RnxWS2mnhsY2rWXbMXut3pXR68PKsSg4zxWRpNruRnIrF6OyO2rL2qXNsWrW5Kuc1qW0Zl+c1iuhF4kS/U108EXlWmT6VpS00OTGyUmrHJa/Ni6VBU1taF7ZSR2zVG9RrrWwo5ANdVHAI7UcdBTk76Bg17OPP1Zy86eXPtqzCpaRAKJY/MumbsDVzT4c3GSOlY2vodTfK3J7m/YRbYxmkuBuertumIqY0OWrpR5lRXYkC7Ic1QuDukrSm+SLFZ+zc9a011M5LoRFeKW2jzJmrDR/LT7ePAJrdz0C2pFc8LisO5XdNW7cjOazPK3SdKqm7K4pK5EibYwPWr0Ywv0qPZ8wFTldsRrCpK5NjPuTljWc0JbHvWhIpZiPenJD8w4rMi1yvFBhak8k1ejh46U/wAn2pFKJu3r4Q1mQfNLWjfD5DVC0X97mhOyNZbmr92D8K5PxBMVBUdSa62T/U/hXLajbme7XjgGurBWU7sckWNChIhXIrpUGFAqhpsASMcVo1jiKnPNsqKshjIGHNRyBYoyRU1UNQmwNoNYXHJ2RhatmYEetS6Eoij+lSTQ5hLGoLeVYYW5rtg/3LRhFWlcTULnzL+OIHqa6KzGIF+lcPYSm610seQvAru4OIhXGyqbu2yWkozRSNgooozQAGuNvj9q8YW8fURAtXYOcKfpXDWt1Gnii+mkP+rUAVcE29CW7amh4jkN5d2+mxHO5gWx6Cult41gtkQcBVrnPDkBvL2bU5h944TPpWvrd4LPTpHzhiMCunEtR5aK6fmRfli5M5aSYah42jA5SLpXdAcV554PQy+IZJJPvBSea9C7VeOXK4Q7RQqLvG7A8CqVw455q1IcLWdPJjJIrjijpgupy/iQma+ghU5Y9B9a37aEW9tHCvRFxXOx3C33ihSoBSPOPwrphyaiOrcjprNQjGmumr9WZ/iCXytGkAPMhCisi3hGo6zpunLzDaxh5PTPX/CrnjKbybG3UdS5Iq34H08w2L38w/e3B4J/uiurDL2anXfTRer/AMkYVWvZQj3bf6I6gkRoWbhVGa43wmF1DXr/AFM8jcQh+tanjTVBpugS7WxLP+7T8ao/D1Nulyse8n9K0oLlw1SfeyOV6zR1tLScUVwmgyfJhcDrivOofD8kGryTSnMk8nHsK9GkdUjLE8CsaxX7ZfvdN9xThKmeq5e504ZqEnUfT8yPWgtpoZUDGFrkfDVq9/qnnSAlUPFdf4oRpbAonJNR+GdPSztgzY3Hk1nKLc7dDspVYwwzm3712XtUULZCIdxiptLtUt7ZQoA4qHVnXCDPertu6iFRntWqXvHFN/ukiSRgqEms2BPOuS+Kmv7lQu0HrSWxSKAsTyadrsmL5YX7mB4nJJRB3NWNPtPKslyO1Vr6RbnVEXqFOa2ZGRLMAelRGD5m2b1ZqNKKW5jWVv52ovIR0OBW9eDy7TA9Kz9KK+YxI71d1GQMmBVxi0jlq6tI57TLLzL95mHety9ASAgelM09VjBOKj1CUs20ChRdjTnSaRnw2pILY61YtISk4GKuWq/u+R2oUESZxSULIc6nNK5rQj92KfgCqscxCChpzg1djne4XLZOKgjUbs1HJIxpYiwUmtNkJRuTOBmnrgJVcEmngnFRzByjJRkGqoQDJq2yluKikjwMVpGfQloijUNJU8yDZimwxYOasFM0pak2M9IB1NSLEN1WzFigR4qQ5SMIAOlLtqXbzTtlIqxYvAWU4qjErK9a7IHpgt1FQaaEDSMY8VRaJjJnFa3lLR5K1UZOOw9CqkjImBThctVjyFo8mMVI7oga4bHSs2dpZJc4rZ8lPSjyI/SkJ8rMa68xrfaq84rEe1vTkBeDXaeSh7UeRH/dFdEK3LHlsS4pnFafp9xaS+YUySa3hfXCqAIya1/KjHYUCJOyipc4voKMVExzqF1/zxapY7+cj5oiK0/LT+6KTamegqeaPYbsygb6bHERqtJqF9u+S2JFbWxfQUhVR2FPmj2BaGQt9dtEQ1uwJFchPoOqzalNcBMJK3Iz2r0YBT0xS4FaUsR7J80UhWT3Maxee0tUhS1YbRiqeqRX2oTxZtz5SHJGetdJlc44p2Kwbu7stuLVmjjNN07ULLWJbwW/yOMBQa3vteodrQ/nWpwKa3ArepXdRpyXkRZdEYlzdamRhbZR9WrFv49ZuQVXy41PHB5rqJ298VWx75qoVeXVJG3KrHJado2pWNyZlKMSMHNdBCb7j92ufrVwkVYtwCfepq13N3kkRKyRgazomoauYtxRFj7dc1o2trq8Kom+MRoAAoHYVuDCjJOBSRyxucIwNRKrKcFF7ImMkuhy+u+H73Wpo2uJQEi+6nofWp9I0e/0yDyY5QUznpXSMQASeBUSXULvsVwTRGtKMHBbMJNPdFPbfeopfLvf7wrROAM1XN7B5mzeM1PP5E2Rn3VneXEZQylQeuKW1sZ7aERo3ArVLqqbj0qL7TGTgGj2haTcbLYozWU0y4dqI7KaPADHFaZdQu49KrfbozJtFHOyX2Kk1hJMQWJ4qZbaRVAyeKus4VNx6VV+2qZNoo5mDeliu9izuCx6VI1qxXb2q40mEzUaTb2wKXOyrNoz10pQ+/HNWHtCybauSSBFyaSOQPT52S2UobLyugp72pfrU0s2OlLHITS5mF9SFLbYuBUbWe9skVZaQ7qfvwuaOZlOPUrrb7RgUhtqmEmTTnfFHMTchEJxSGE1Mr5ppk5ouFyL7PSeV2qffkU3dTtcOYj8rFLtp4NNLUWDmEC47UhjzTg9AfmlsDYiptowaVnpN9O5Ic0uKZvyakDUrgKFp22nL0paLjCKRjUzy7V96URKoqtKctinpJj2GvM2eKmgkJ60kMIYZNSlAikiiTWwJDJptvAqr50hfjNOPzvVtIVCjjmnpFBuELErzUF5ciKrDkRoTWNeyLIwXPU1k2KTsjUtJvNXNOuZhEnvUVhgR8VXun33G3tTQ1sRSS3UmTGDirtk8pT94Oahe6jt9qEcmrauPJLj0psZWvbsodkfLGqO3UBIr5+UnkVLbnzLh5W5CmpINSjmumgA5XrT2AvIxWHc/Yc1lSzXV7Ky2x2oP4quarL5dmQOrcVWa4XTtPWTYTxk4FCELp0V5FMy3L7l7GrGoXRgQRxDdK/Cinafdfa7ZZgMBumaqwf6Rq8jtyIhgVcEm230BkRs78FJPPJOeVrYBwgz6c0tUNavRZ2LNnDt8q/U1M6jluJ2irme17PPr0aI2LcEr9SK2pTgVz9nNC2p2cEJJ8tCWOOprV1G5W3tpJmPCAmojqKj1bMHXLuZrlIYWwqMDIR79BWqMbR9K5o3AeCEMGM084dyR+ldMDxirTuzSDvdmdqELfeSRg7sFUCtfT7IQHfvZjjHNUSPO1OGLtGDIf5CtoYjiZj/AAjNZvVmlSb5VEzbkyalqLWcTlIIBmVl7sei1atNOW1uTIjNt24wTUHh0Z09rhvvzyM7H8a1dwxmuirJxbpx2WhhHa5j38kl9qQ02Bysca752Hv0FTQ6VDDdJLGT8vbPWqujEyJqNyp/ezTsMnsBwKk0CS4mFw877gshVT9KyBE2qzuWitIDiSY8n0Hc0i6XApTByynrmoon8zX5yx/1cYC0lh5zatMGfdGo/WgOpqyoDFg9AKqWlspy59eKs3b7YT78UsC7IQKjqbKTUCpfSEssCd+tEdtCrAA5YVA8gGoNvPQcUtiGe6d85WrMie8flY1pIoYgwA+9UE8gW6+an2QZ5yxPFAupelUeXio4IgMmnzelL92L3NSa3tEp30wGADUludsPuarTQtJKOOBVgKVixQYK97kZO+TFWogNtUEDmYntV+JcR1TLQ0oC1NuG2pgVKBzUNwhbpUlTehDCxJyadO5zTkiKgUjxEvTMrOwRtxUZY7qnEeKRYutAWBDhacOeaQJgU7GBWgxrGmtwtPxSFaTGQjJNOHU04JzTguBUiIDnNDA4FTbKQrQFiNV5qRRzQFp6igCVelLTQadmgZY3ZWqErbWq8iYHNRTQBqcGkyrDYJwVwKmkOYzioYrcqashRtxSla+gIzBL5cvNXo5t9RyWoZs1JFAEqpOLQWIrtiw2is2WzY/PW00YY0GMEYrITjcr2SlY8Gs+6kMF3uYcZrZRAo4qKe2jl+8BVIaRkyst3cIVXpWsUxbbR6UkVrFEcqKnxQ2M5+2u/ssskcqnrxxU2mReZdvPs2g+1ab2sLtllBNSLGqDCgAU7isjO1yOR7XdGMlTnFZ8l+bqzWBIWLkYOR0romCsMHpUaQxKcqozQmg0I7KHybRI8YwKyRLLYahOTEzLIcggVvdKaQjHnBNVCfLe6vcGitYyzTq0sqFAeimoGtjeal5k6/uohhAe59a0sAU0kA49aiTTdxNIy3swmrxSxoFRUIJAqvqcL3c8UR/1Knc49fQVrzNgVnyuM5PFXFGkYK2pn3losrQBFA2yBjgdhV+kwMUK6bsFhRIbJLG3YXU079Xwq+wFaTLujZPUYqG2ZG4UgmpZZUhQtIwVfes1q9DOTu7sxrexvoENtFIFizw3cCtpI9kIjznAxmo7a7huCfKYNinzzRwRl5WCgdzWtScpP3kSrbmMNLuopZVt5dscjEn2zWpYWqWVqsCcgdT6morbU4LmXy4zk1blkWKMu5wBUNjutzNu9OeS7M8LlSRg4q1Y2YtUPOWY5JNV01aN5gig4J4OKvvII4y7HApO4XElj8wjPapAMDFZp1EtKAiHaT1q68hEe72oGnfQrXFissu/vVi3gWFcCq6XTO+0CrEs3lx5PWle5UouO5FPaLI+TU0MKxLxVJZ5Xl6HFWpZtkY9aepFyVsE9aGAxVCN5HkzzirUjEJQxrUeFWlKjbg1XhLE80TzbTikElykiwrnNPZlUYqKOT5M1BJIS+KYrltWBFIWGaYgO3NN53UFJXJsigYJqCR9tIkmaCG9SwSBQCMVXaT5qBJxQK5McUhIxUBk7U8H5apBcceKODTRzzSE4GKqwC5GaXIqNjimbialjJwRTSRmo8kLTAxLUhXJywAoVqgYknFPWgCcNT81CnWpqARaeQKKrPc802RiWxTkt9/JqkktytyaKTcOaJZgnAo2CNCaq8yPSUU3cBRdEvirkbblzUS2yDnHNSORHGaUmug9iC4uliYDNTQSeYmaxrtvMlUZ71q2YxDUEJ3Y+4nES+9Zkt5ck5RCRT52825254FTfaIIyIjjJqtiye0kaSPLjBqC9vCjeXEMtVl2WOAsvHFZtoQzPO/OKEAyOS/W4XevyGtZpAkW9uMDJqpaX8V3KyJyVODUesTFYViXq5xRuw9CvJNeXzN9mOxB0Y96saUt2u9bo5I6H1qO6vY9KtEyhIA5wKvWk4ntlmxgMM03tsBX1C7dCsFuMzP+lVksr1J43M5YE/MKfp/7++nuG5wdq1q1rKXs/dSElfViMQqkseAK5+zvLi61ssxxAVPlj1x3q5r92ILdYFbDzHbx2HeqVlPFJrASEYSKDb0xXPuzNu8kjVnf0rmL64muNUhCPiCOUIf9o1raxefZbN3Ay33VA7k1hRtiWwgCvnzNzsR1PetXtY3qP7J0Rqnc2geaFFZg8r8kHt3q6vJotl83ViSOIEx+JqJvoaRk4u6L1rax2+Sgxn1rPiT+1r+WWTP2W3bYi9nbua07qTyrSVx1VCRVPQwkOjw5YZK7mPuea1p+7ByW+xzt3epZtrKK2leSMY3dqzsDVNVl3n/RbQ7cdmfv+VbDv+5Zx6ZrC0bY2iyl32s7uzn8ai7erGzUgtrYT+bEF3AY4qrfE3d/HZg/u1G+T/Ck8Oxsti0jMW3uSpPp2qO2mQaneGU4JwBn0pCeq1LsaWryBUC5T0qPUGMs8dsp4PLVBo8QN1cTKSUJ4zRLKI9VLSdMcUdQ6FuNrfzBCoGVqzLgRn6Vm2EYkvHmUHBq/cE7MDvSZUdWMtYxy2Kgum3z7R0q7Eu2MCsy4LpcZAzQhzd2WIpVMmwDpTLh90mKWziJYuRUNwr+b8tMgsQSAvtFWJcdKgtIsHcRU7Dc1JlxEXCxk1nzszzAVpMvy4qAW/zFjSIlqxoOI6gicGRvarUiYXiooYfmziqQWLCH5KKeFwMUbaRd9CpPktSIpFWWiDGlEYoM7FRlJNOCkCrPlDOaPL4oCxUCHOalA4qfyxik2VSYWIh0xQRUuyjZTuOxAy5poSrJSgJUgVyny0gjwatbRTdtArFfZzTgvFTbaNtAWGqtPoxRQMiLgPzV2KRSoxVWe3JbinQRMOKuVmh2ZPcH93VOCVVk+Y1eZNyYNZ8luRJxSg1azBo0ElDdKrXjlhtWpIIiF5olQBsms2lcHsY728isG5rWts/Z/fFPMayKPapEQKuKBKNjGEyxXp8zgE0kix3F6rpzitG4sI52yRzTrezjh6Dmqui7BdIfshUdcVk2V9FFE8UvDDtW6+Ahz0qhFa208hfyxmkrCIdHhG+SYLtDHNM14OoimRSwRskD0rXRFQYUYFV72VI0AYZ3HGKL6jMe6vRqMC28EZYsRk46VuRReXbLGB0XFEMEaKCqAE+1TUN9hWRztvcTafPNE0LvubKkCtmyaZ4fMnXaW6L6Cp9ik5KjNO6VpUqKfTULIzIbUzX0t1cLkD5Ywew9ahNvs1SScKAhQKKs6hctHc21tF96Zjk+gHWidvSoiioQRl3EDXF/HJIf3UQyF9Wps9t5t3byDhYiSfejVJXRIo4jiSaQIPp3q5jHAq2W0iSJcmrFhbGHzXY5aV9x9vSmwLV1RjFZPVmbfQSaMSwtGejDFZEGlusgha4byl52D0rarP0ljO91dEkiSUqn0HFaQqSimkSy8UGzZ2xisZdHia4dVkYJnLIDxW2xwpNUdKBeKWdusrkj6VCYFuKJYo1jQYVRgCqc+mRTTeY3B71foouMihhSGMIgwBVW5hiluArDJq90qnb/ALy6eQ9qEIsRxpDH8owBTImErH0FOuW2wn3ptou2LPrQHUnxio3iRjkipKSkMYwEacVFGokbJFOuG4ApYBhM+tMQrkInFNiO45pJzzinQjCZ9aAJMUcUUjHAoGQucmnxjjOKiPJqdRhRTEOooopAFFFJQAtJRRQAUUUUAFJS0lAgpKWkpgFJRRQAlFFFABSUUUCLmKUDFFFQaATgGqJYmSrUzbYzVWEbpKaEXEHyiql02ZABVsnAqgx3z/jQhlyAYjGakpFGFAooAWkpaKAK96+y3b3plim2AH1qPUG3MkY7mrca7Y1X0FPoIfWZdfvtQii7Lya0jwM1nWQ829mmPY4FCA0RwKCaKSkMWkJoFMlcJGzE8KM0CMkH7Rr88n8NtGEH1PJqWVuaraSd1nJct964kZ/w7VK59elbJG0FZGa/7/Xo16rbRFz/ALx4FaSDLCsvSmWR7q7J/wBbKVX/AHV4rWhdM53D86mTIbsi7AvFWFqstxCo5kUfjSm+tx1lX86zRkpIXUZ/s1hNL3VTj69qNOg+z2MMXdVGfrWff3UV7NbWcLbt8gZ8dlHNbH0p9BrXUq6nIYrJyD8zDaPqakto/Jto4/7qiqGsThJrZGBK79zY9qX+1VP3Ub8qLaB1NSiso6k56RNR9unPSI0WYamhcPshY+1R2S7Ycnqxqiz3NwyoVwuea1I12oF9BQGpWvGyypVhSqoBnoKo3kMskwZe1N8q4PUmiwamgZFHcU0zIO9UvImPU0otpPWiwakjyCSTirSjCiq8NvsOTVntQBSnlw1PW4woApZYNxpv2cetMLCm4NMaZm4qQW4pRAM0BYSIEkVYpqIFFPpAFFJRQAtJRRQAUUUUAFJRRQAUUUUxBSGikNABSUtJQAUlLSUCCikooAt+avrSecnrWfslPrR5Mp9amxepYuZ1ICg061Heqy2rlstV6JNi4oAJm2xk1nQ3CCbk9K0pE3rg1RbTlLlqEMmN7EP4qadQiHemDTk7mnDTou4p2QrCHU4h3ph1WIVKNPg/uiniygH8Ao0CxSt5jeXm8A7VrVpkcSR/cUCn0mMjuCRA+0ZOKwrW7vIEZRasSW610J54NN2r6Cmmg0MY32ot921/M0nn6u3SBB9TW1lRxxS07rsK0TEP9tN2iWop7PVbiJopLhFVxhto5xW+aglbimn5FRin0KSosECQr91FAFQyKWRlz1GKlkOTUdaGzMqHRVjUIs8gUdADV6DQ4j96WU/8CqaSVIInmlIVEGSTUFl4isbm6jtreQPI5wAKzlJnPOaTsW00K1HUufq1Sro1mP4M1ogcUtLmYXZWt7G3tn3xRgNjGasig0tJsLkckKO2XUE03yYl/hFPdxGhZjwK5qbUbzUJXFguIkON571UYuQK70R0apGegFOCL6Cs7RvtBhP2n71aVS1Z2DVCbR2FLS0lICOWRYxlqia5QY5HNZ+uTmJRg4rBl1FjOihuAOa1jTclcdmzrhcqWABqcHIzWPpitKyu3StntUSVmKwlFFFSBVupvKGSaq2935xPpTdWcbcCo9JiBGTWiWlwsa8eSvNOoAxRUCCiiigAooooAKKKKACkoopgFFFFABRRSUCCkoNFACUUtJQISiikoAKKDSUAW1KMOMU/ArM0yRnQFjWnU2LQtJS0lBQU1zhSaWobwkW7EelFhGZda3DbSFHcZqXT9Zt71isbZIrm4oY7i5uHlG4g4pfDkKR6rcBQQM1fIrEpHbCigdKKgoKKSlNABSHpSiq1/I0VlK6HkKcUwZwmteI7nTvE6o0gngBG5I+CPxNd9bSiaBJQCodQcGvKLqJZNJF643Ty3XzMfrXqlh/x5Q/7gqpKxKViZqrT9OtWGPWqc5xmiKNoIrNyeTTfwpW+9SdcVoypBNbrd2skDAYYY56VzXw8t7eK91CERebNBJg3A4U9sAdfWuomYx2M8ifeWNiPyrD+Gca/2LPPj95LOSx9ayuYN6nZ9qKQ9KUUgCig0UAZviBZG0qby5RHxySO1ZFnei10KOaGLYgHIPJNa2vjOkzD/ZNcxDO//CPhOMYxW8EnH5lpaHVaPeC9s1lWMqD61oVn6NGsenRKowNoq/WMkr6EtC0lLRSEc74ngdoN4kAA5Ixya582rFVm2nHBx3rsdSiWUAOMioPs0XlgbeK3hO0bGkXZEukHNup2FeO9aNQ26KkYCjAqWsXqyGFNfO04p1IaQjHv7d5O9T2CmJQNpq4UUnkU5VAPAq76WGPoooqRBRRRQAUUlFABRRRQAUUUUCCikpaYBSUtJQAhpKWigQlFFFACUhpTSGgQhpKWkoA//9k=";
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"},function(t,e){t.exports="data:image/jpeg;base64,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mNbomT6ZyP6UUX7So5voFVezpqC6nX+GNO+waYrSLief539vQfgKNZjvmmQ23mGLb0jPf3q4uq6cVBF9b4P8A00FL/amn4z9tt/8Av4Kwbk5czRs4QcORMwfJ1X+7d/maDDqp/hu/zNb39qafjP263/7+Cj+1NPxn7db4/wCugqueX8pj9Xj/ADGD5OqH+G7/ADNauipeqJPtZfbxtDnJz3qz/amn4z9ut/8Av4KP7U0/r9tt/wDv4KmTk1axcKMYSvzEOtLdtDH9k343fOEOD7VjmLVT/Ddfma3jqmn4/wCP23/7+Cj+1NP/AOf63/7+CiLklawVKUZyvzFPRUvhLIbrzBHjgSHnPtWxVP8AtTTxz9tt/wDv4KP7U0//AJ/bf/v4KmSk3exrTUYRtcuVy3jPUdkSafG3zSfPL7L2H4n+VbU+s6dDE0jXkJAGcK4JP0FcPbxza/rv7zP7590n+wg7flgfjW2Hp688tkZYippyx3Z0fg3T/IsjfSL+8uPuZ7J2/PrXSU1EVEVFACqMADsKdWNSbnJyZtCChFRQUUUVBYUUUUAFFFFAH//R9OpCcUtZviKZ4NCvJIjhhGQCO2eKcVdpCk+VNnGeIdSOo6m7K2YIspH7+p/E/wAq6Pwhpv2ayN5KuJbgAjPZO359a4ldqsMqGUEfKehHpXQjxheqABaWwA4HLV6NWnLkUIHnUqkVPnmdvWHrfh2LU5ftEUnk3GME4yremR/WsX/hMb7/AJ9bb82o/wCExvv+fW2/Nq540K0HeJ0Sr0pqzE/4Q2+6/abXP+6aP+ENvf8An4tf++TS/wDCY33/AD6235tR/wAJjff8+tt+bVt/tBjbD+f4if8ACG33/Pxa/wDfJo/4Q29/5+LX/vk0v/CY33/Prbfm1H/CY33/AD6235tRfEhbD+f4if8ACG33/Pxa/wDfJpP+ENvev2i1/wC+TTv+Exvv+fW2/Nqjn8W380EkQhgj3qV3qTke4p/7QH+z+f4mFNEsU8kQZH2MV3KODitJNAnOknUpJIYodm/awO4jt+dVNMtVvNStrVzhJH2t9ACT/Kt/xjfAGHTIDhUAeQD/AMdH9fyrWc5cyhEzjCPK5M5iOIySJGiAu7BQAOpNdAPBt91+0Wo/4Cad4O0/z7x72RcpB8qe7nv+A/nXbVhXxEoy5Ym1HDxlG8jiF8G3uf8Aj6th6kKa6PRdFg0mNtjGSZ/vyEYz7D0FalFc0685qzZ0woQg7pBRRRWJqFFFFABRRRQAUUUUAf/S9OrJ8Uf8i7ef7g/mK1qy/EqPJoF4qKWbZnA68Grp/GiKvwM4bSbRL/VIbWRmVZCcleowM11P/CHWX/Pzc/mv+FcXHOYpBJFNscdGVsEVP/al7/0EJ/8Av8a9KpCpJ+67HnU6lOK95XOt/wCEOsf+fm5/Nf8ACj/hDrH/AJ+bn81/wrkv7Uvf+ghP/wB/jR/al7/0EJ/+/wAaj2Vb+Yv2tH+U63/hDrH/AJ+bn81/wo/4Q6x/5+bn81/wrkv7Uvf+ghP/AN/jR/al7/0EJ/8Av8aPZVv5g9rR/lOt/wCEOsf+fm5/Nf8ACj/hDrH/AJ+bn81/wrkv7Uvf+ghP/wB/jR/al7/0EJ/+/wAaPZVv5g9rR/lOt/4Q6x/5+bn81/wqpqvhi0sdMuLqOedniQsAxGD+lc7/AGpe/wDQQn/7/GmyahdSxtHLeyujDBVpSQaapVU9ZCdWlbSJNpE6Wmq29xKcJExY/wDfJqGWSa+vGkYbp53zj3J4H8hUG5f7y/nXR+DdP+0XrXzjMcHCHsXP+A/nWlRqCc2ZwTm1BHV6VYrp2nw2yc7B8x9W7n86uUUV5Lbbuz1UklZBRRRSGFFFFABRRRQAUUUUAFFFFAH/0/TqMZoooArGwsiSTaQEnr+7FH9n2X/PpB/37FWaKfM+4rIrf2fZf8+kH/fsUf2fZf8APpB/37FWaKOZ9wsit/Z9l/z6Qf8AfsUf2fZf8+kH/fsVZoo5n3CyK39n2X/PpB/37FH9n2X/AD6Qf9+xVmijmfcLIrf2fZf8+kH/AH7FH9n2X/PpB/37FWaKOZ9wsit/Z9l/z5wf9+xU8caRoEjRUUdAowBTqKG2wskFFFFIYUUUUAFFFFABRRRQAUUUUAFFFFAH/9k="},function(t,e){t.exports="data:image/jpeg;base64,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i["default"]||(o=i=i["default"]),"function"==typeof o&&(o=o.options),o.render=r.render,o.staticRenderFns=r.staticRenderFns,t.exports=i},function(t,e,n){var i,o;n(13);var r=n(79);o=i=i||{},"object"!=typeof i["default"]&&"function"!=typeof i["default"]||(o=i=i["default"]),"function"==typeof o&&(o=o.options),o.render=r.render,o.staticRenderFns=r.staticRenderFns,o._scopeId="data-v-11",t.exports=i},function(t,e,n){var i,o;n(31),i=n(10);var r=n(98);o=i=i||{},"object"!=typeof i["default"]&&"function"!=typeof i["default"]||(o=i=i["default"]),"function"==typeof o&&(o=o.options),o.render=r.render,o.staticRenderFns=r.staticRenderFns,o._scopeId="data-v-8",t.exports=i},function(t,e,n){var i,o;n(14);var r=n(81);o=i=i||{},"object"!=typeof i["default"]&&"function"!=typeof i["default"]||(o=i=i["default"]),"function"==typeof o&&(o=o.options),o.render=r.render,o.staticRenderFns=r.staticRenderFns,o._scopeId="data-v-13",t.exports=i},function(t,e,n){var i,o;n(12);var r=n(78);o=i=i||{},"object"!=typeof i["default"]&&"function"!=typeof i["default"]||(o=i=i["default"]),"function"==typeof o&&(o=o.options),o.render=r.render,o.staticRenderFns=r.staticRenderFns,o._scopeId="data-v-10",t.exports=i},function(module,exports){module.exports={render:function(){with(this)return _h("div",{attrs:{id:"app"}},[_m(0)," ",_h("banner")," ",_h("router-view")," ",_m(1)])},staticRenderFns:[function(){with(this)return _h("div",{staticClass:"horizontal-blank"})},function(){with(this)return _h("footer",["Copyright © 2016 Fudan IGEM"])}]}},function(module,exports){module.exports={render:function(){with(this)return _m(0)},staticRenderFns:[function(){with(this)return _h("div",{staticClass:"col-xs-12",attrs:{id:"fd-team"}},[_h("h2",{staticClass:"page-title"},["Team Members"])," ",_h("div",{staticClass:"col-xs-12 members"},[_h("div",{staticClass:"col-xs-6 col-sm-4"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/0/09/Team-member-xie.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6 col-sm-8"},[_h("p",{staticClass:"name"},["Yang Xie"])," ",_h("p",{staticClass:"intro hidden-xs"},["\n        I am Yang, and the student leader of this year Fudan iGEM team,\n        mainly in charge of the collateral work besides experiments.\n        It is great for a team to make concerted efforts for a common goal,\n        and we will keep carrying on not only during this competition, but also a long time after it.\n      "])])])," ",_h("div",{staticClass:"col-xs-12 members"},[_h("div",{staticClass:"col-xs-6 col-sm-4"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/f/f5/Team-member-wangz.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6 col-sm-8"},[_h("p",{staticClass:"name"},["Nate Wang"])," ",_h("p",{staticClass:"intro hidden-xs"},["\n        Hello.I'm Nate, the arranger of the experiment part of Fudan iGEM 2016. Synthetic biology makes me excited.\n      "])])])," ",_h("div",{staticClass:"col-xs-12 members"},[_h("div",{staticClass:"col-xs-6 col-sm-4"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/1/19/Team-member-sun.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6 col-sm-8"},[_h("p",{staticClass:"name"},["Sherlly Sun"])," ",_h("p",{staticClass:"intro hidden-xs"},["\n        I am Lihua Sun, an undergratuate student majored in basic medicine, Fudan University.\n        I do enjoy the iGEM project with all my mates. My curiosity has been greatly satisfied during this lab time.\n        I am now in charge of the cell experiment and invovled in human practice part. Outside the lab, I love watching American TV series and exploring the city on my bike.\n        Besides synthetic biology, I have special interest in diseases connected with development. Marx once said,'Science is never an egoistic enjoyment. Having the honor to work on scientific research, scientiests should first sacrifice their knowledge to the development of human',which is all that I want to achieve in the future.\n        Synthetic biology is still a non-familiar area among people,\n        far less well-known than GMO or other concepts.\n        Therefore we invited several professors to hold lectures about development of Synbio,\n        including the noble academician of CAS, Guoping Zhao.\n      "])])])," ",_h("div",{staticClass:"col-xs-12 members"},[_h("div",{staticClass:"col-xs-6 col-sm-4"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/0/0f/Team-member-daiy.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6 col-sm-8"},[_h("p",{staticClass:"name"},["Evan Dai"])," ",_h("p",{staticClass:"intro hidden-xs"},["\n        Evan Dai is a 3rd year student major in Life Science.\n        He involved in plasmid construction and helped cell experiments.\n        Curious about not only synthetic biology but also psychology,\n        he works in the same psychology group with Sherlly Sun. Outside wet lab,\n        he is studying python programming and statistics to qualify himself for further research.\n      "])])])," ",_h("div",{staticClass:"col-xs-12 members"},[_h("div",{staticClass:"col-xs-6 col-sm-4"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/e/ec/Team-member-liu.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6 col-sm-8"},[_h("p",{staticClass:"name"},["Micheal Liu"])," ",_h("p",{staticClass:"intro hidden-xs"},["\n        Love knowledge，keep learning\n      "])])])," ",_h("div",{staticClass:"col-xs-12 members"},[_h("div",{staticClass:"col-xs-6 col-sm-4"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/0/0f/Team-member-luo.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6 col-sm-8"},[_h("p",{staticClass:"name"},["Sunny Luo"])," ",_h("p",{staticClass:"intro hidden-xs"},["\n        Hi! I’m Sunny Luo, a junior majoring in biology in Fudan University,now in UC Berkeley as an exchange student.\n        My contribution to the team is mainly about designing our VI (visual identity).\n        Although regrettably not participating in the experiments and design of our project,\n        I am still very glad that I’m a member of the team,\n        and always feel lucky to meet so many wonderful teammates (and my boyfriend)!\n        I’m still exploring different fields of life science and I love that kind of experience!\n      "])])])," ",_h("div",{staticClass:"col-xs-12 members"},[_h("div",{staticClass:"col-xs-6 col-sm-4"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/8/88/Team-member-jiang.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6 col-sm-8"},[_h("p",{staticClass:"name"},["Faye Jiang"])," ",_h("p",{staticClass:"intro hidden-xs"},["\n        Faye Jiang, the junior student in Fudan University,\n        who’s decided to be a dedicated researcher since she’s just a little girl.\n        She’s optimistic and enthusiastic even when the life is tough and the dream is bitter.\n        She always loves life like a poet with a cat.\n        By the way, she really has a cat whose name is bean.\n      "])])])," ",_h("div",{staticClass:"col-xs-12 members"},[_h("div",{staticClass:"col-xs-6 col-sm-4"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/3/37/Team-member-zhu.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6 col-sm-8"},[_h("p",{staticClass:"name"},["Bill Zhu"])," ",_h("p",{staticClass:"intro hidden-xs"},['\n        This is Bill ZHU, you may just call me "ZHU".\n        I am a medical student at Shanghai Medical College, interested in synthetic biology and neurobiology.\n        I believe the future of cancer therapy lays in our innovations today.\n        It’s my honor to be a member of iGEM 2016, team Fudan.\n        Meet you at the Giant Jamboree.\n      '])])])," ",_h("div",{staticClass:"col-xs-12 members"},[_h("div",{staticClass:"col-xs-6 col-sm-4"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/2/2c/Team-member-yang.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6 col-sm-8"},[_h("p",{staticClass:"name"},["Zhengyuan Yang"])," ",_h("p",{staticClass:"intro hidden-xs"},["\n        Hello everyone! My name is Zhengyuan Yang, a junior student from the management science.\n        I am in the theoretical group and design a simple model to describe part of our experiment.  \n        It’s a wonderful experience while working and discuss with others.\n        However, science is not my whole life. In my spare time, I often play the classic guitar or sketch.\n        In my opinion, the joy from music and arts can be comparable with science.\n      "])])])," ",_h("div",{staticClass:"col-xs-12 members"},[_h("div",{staticClass:"col-xs-6 col-sm-4"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/4/44/Team-member-wangy.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6 col-sm-8"},[_h("p",{staticClass:"name"},["Jasmine Wang"])," ",_h("p",{staticClass:"intro hidden-xs"},["\n        I'm perfectly incomplete, still working on my masterpiece.\n      "])])])," ",_h("div",{staticClass:"col-xs-12 members"},[_h("div",{staticClass:"col-xs-6 col-sm-4"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/7/71/Team-member-bao.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6 col-sm-8"},[_h("p",{staticClass:"name"},["Yichao Bao"])," ",_h("p",{staticClass:"intro hidden-xs"},["\n        I am Yichao Bao, a junior student at Shanghai Medical College, Fudan University.\n        I am currently working for a laboratory whose research orientation is microRNA and RNA binding protein in tumors.\n        Our direction is focused on a subdivision field.\n        This time the goal for our team is to conquer tumors starting with multiple metabolizing genes and the integration of them.\n        What is conciliative to us is that we believe what we have been working on is an underlying way to “starve” cancer to death,\n        although we haven`t done much and are still at the preliminary period.\n        My job on the team is cell experiment and guidance. All the team members are passionate about our project\n      "])])])," ",_h("div",{staticClass:"col-xs-12 members"},[_h("div",{staticClass:"col-xs-6 col-sm-4"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/d/dc/Team-member-daij.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6 col-sm-8"},[_h("p",{staticClass:"name"},["Jie Dai"])," ",_h("p",{staticClass:"intro hidden-xs"},["\n        I am a senior student from school of Computer, what I want to do best now is to develop some fantastic applications.\n        Besides, I’m good at making web pages and enjoy it!\n      "])])])," ",_h("h2",{staticClass:"page-title"},["Tutors LIST"])," ",_h("div",{staticClass:"col-xs-12 members"},[_h("div",{staticClass:"col-xs-6 col-sm-4"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/d/d2/Team-tutor-ni.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6 col-sm-8"},[_h("p",{staticClass:"name"},["Ting Ni"])," ",_h("p",{staticClass:"intro hidden-xs"},["\n        Ting Ni is one of the best guides for Sudan iGEM team these years.\n        He is patient, and knows well how to communicate and give directions to students whenever we are stuck in a dilemma.\n        He also generously  provides us help both in human resource but also fund many times.\n        We believe that more students would involve in research thanks to this kind of professors.\n      "])])])," ",_h("div",{staticClass:"col-xs-12 members"},[_h("div",{staticClass:"col-xs-6 col-sm-4"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/8/87/Team-tutor-luo.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6 col-sm-8"},[_h("p",{staticClass:"name"},["Ruoyu Luo"])," ",_h("p",{staticClass:"intro hidden-xs"},["\n        He is a experienced professor in system biology.\n        We got several of our ideas from him and during the project,\n        he provided us many valuable suggestions to achieve the whole thing.\n        Sincerely thank him for standing for us all the time.\n      "])])])," ",_h("div",{staticClass:"col-xs-12 members"},[_h("div",{staticClass:"col-xs-6 col-sm-4"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/0/0e/Team-tutor-zhang.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6 col-sm-8"},[_h("p",{staticClass:"name"},["Rongmei Zhang"])," ",_h("p",{staticClass:"intro hidden-xs"},["\n        This year Rongmei Zhang offers logistics support to our team.\n        She always tries her best to meet whatever we need in both laboratory supplies and expenses.\n        We can focus more on our project because of her numerous assistances.\n        We are grateful for her help.\n      "])])])," ",_h("h2",{staticClass:"page-title"},["Advisers List"])," ",_h("div",{staticClass:"col-xs-12 advisers"},[_h("p",{staticClass:"intro"},["\n      We fortunately had a large number of advisers this year,  all of them gave us valuable suggestions when we turned to them for help.\n      Some of them are professors, others are students and even our own friends.\n      Due to the length limitations, we can only list some  but we really appreciate for all of them.\n    "])," ",_h("p",{staticClass:"intro"},["\n      Thanks to Guoping Zhao, Guodong Ren, Liang Cai, Daru Lu, Yu An, Aiwu Ke and other teachers or doctors, for their guidances during our idea brainstorming and experiments.\n    "])," ",_h("p",{staticClass:"intro"},["\n      Thanks to Honglin Chen, Xuanye Cao, Haotian Guo Huiya Yang, Xiaojia Liu, and other members of the former Fudan iGEM teams.\n      They taught us ponderable experiences.\n    "])," ",_h("p",{staticClass:"intro"},["\n      Thanks for Tianyu Yi for offering photos in our wiki.\n    "])," ",_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/5/5c/2016-team-advisers.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-12 advisers"},[_h("h2",{staticClass:"page-title"},["Acknowledgment"])," ",_h("p",{staticClass:"intro"},["\n      Thanks for all help from School of Life Science, Fudan University,\n      Shanghai Medical College of Fudan University as well as other departments of Fudan University, YunFeng Capital.\n    "])])])}]}},function(module,exports){module.exports={render:function(){with(this)return _m(0)},staticRenderFns:[function(){with(this)return _h("div",{staticClass:"col-xs-12",attrs:{id:"fd-notebook"}},[_h("h2",{staticClass:"page-title"},["Notebook"])," ",_h("div",{staticClass:"col-xs-12"},[_h("div",{staticClass:"col-xs-4"},[_h("p",{staticClass:"page-content"},["\n        We use Excel to trace our experiment progress. Researchers’ names are abbreviated, so as experiment modules’ names.\n      "])])," ",_h("div",{staticClass:"col-xs-8"},[_h("table",{staticClass:"refer table table-bordered"},[_h("tbody",[_h("tr",[_h("th",["Yang Xie\t"])," ",_h("th",["X"])," ",_h("th",["shRNA selection\t"])," ",_h("th",[" A "])])," ",_h("tr",[_h("th",["Nate Wang\t"])," ",_h("th",["W"])," ",_h("th",["tet-off construction\t"])," ",_h("th",["B "])])," ",_h("tr",[_h("th",["Sherrly Sun\t"])," ",_h("th",["S"])," ",_h("th",["htert construction\t"])," ",_h("th",["C "])])," ",_h("tr",[_h("th",["Yichao Bao\t"])," ",_h("th",["B"])," ",_h("th",["Cell biology experiment\t"])," ",_h("th",["D "])])," ",_h("tr",[_h("th",["Faye Jiang\t"])," ",_h("th",["J"])," ",_h("th",["adenovirus package\t"])," ",_h("th",["E "])])," ",_h("tr",[_h("th",["Evans Dai\t"])," ",_h("th",["D"])," ",_h("th"),_h("th")])," ",_h("tr",[_h("th",["Zhengyuan Yang\t"])," ",_h("th",["Y "])," ",_h("th"),_h("th")])," ",_h("tr",[_h("th",["Michale Liu\t"])," ",_h("th",["L"])," ",_h("th"),_h("th")])," ",_h("tr",[_h("th",["Jasmine Wang\t"])," ",_h("th",["WY"])," ",_h("th"),_h("th")])," ",_h("tr",[_h("th",["Bill Zhu\t"])," ",_h("th",["Z "]),_h("th"),_h("th")])])])])])," ",_h("div",{staticClass:"col-xs-12"},[_h("table",{staticClass:"table table-bordered"},[_h("thead",[_h("tr",{staticClass:"active"},[_h("th",["Date"])," ",_h("th",["Module"])," ",_h("th",["Technician"])," ",_h("th",["Name"])," ",_h("th",["Experiment"])," ",_h("th",["Results"])," ",_h("th",["Remarks"])])])," ",_h("tbody",[_h("tr",[_h("td",["2015/12/6"])," ",_h("td",["A"])," ",_h("td",["W, Z, S"])," ",_h("td",["Rapid Extraction of Plasmid"])," ",_h("td",["Rapid Extraction of Plasmid PLKO.1 "])," ",_h("td",["Obtain plenty of PLKO.1 vector"])," ",_h("td",["416.7, 109.1, 265.3, 283.6 ng/ul"])])," ",_h("tr",[_h("td",["2015/12/9"])," ",_h("td",["A"])," ",_h("td",["J, W, Z"])," ",_h("td",["PCR+E26E3:",_h("br"),"F22E3:",_h("br"),"F21FE3:E27"])," ",_h("td",["Amplification of  hpFK shRNA, nASCT2 shRNA, and  hHk2 shRNA "])," ",_h("td",["Obtain plenty of  hpFK shRNA, nASCT2 shRNA, and  hHk2 shRNA "])," ",_h("td",["result of  gel electrophoresis"])])," ",_h("tr",[_h("td")," ",_h("td",["A"])," ",_h("td",["J, W, Z"])," ",_h("td",["Double digestion"])," ",_h("td",["Double digestion of PLKO.1"])," ",_h("td",["tde Strips were diffusion and witd dark background"])," ",_h("td",["result of  gel electrophoresis"])])," ",_h("tr",[_h("td",["2015/12/10"])," ",_h("td",["A"])," ",_h("td",["Z"])," ",_h("td",["Double digestion"])," ",_h("td",["Double digestion of PLKO.1"])," ",_h("td",["tde Strips were diffusion but tde intended band is very bright"])," ",_h("td",["result of  gel electrophoresis"])])," ",_h("tr",[_h("td",["2015/12/11"])," ",_h("td",["A"])," ",_h("td",["W"])," ",_h("td",["Double digestion"])," ",_h("td",["Double digestion of PLKO.1"])," ",_h("td",["Obtain enough digested PLKO.1"])," ",_h("td",["result of  gel electrophoresis"])])," ",_h("tr",[_h("td")," ",_h("td",["A"])," ",_h("td",["W, Z"])," ",_h("td",["Ligating DNA fragment witd linear vector"])," ",_h("td",["Control ShRNA and linear PLKO.1 were directly ligated, tested and recovered"])," ",_h("td",["Obtain PLKO.1-control shRNA"])," ",_h("td",["result of  gel electrophoresis"])])," ",_h("tr",[_h("td",["2015/12/12"])," ",_h("td",["A"])," ",_h("td",["Z"])," ",_h("td",["transformation"])," ",_h("td",["transformation of E.coli witd PLKO.1-Ctrl shRNA"])," ",_h("td",["Obtain six  Monoclonal colonies"])," ",_h("td")])," ",_h("tr",[_h("td",["2015/12/13"])," ",_h("td",["A"])," ",_h("td",["Z"])," ",_h("td",["Rapid Extraction of Plasmid"])," ",_h("td",["Rapid Extraction of Plasmid  PLKO.1-Ctrl shRNA"])," ",_h("td",["Obtain plenty of PLKO.1-Ctrl shRNA"])," ",_h("td",["202.4, 177,7, 175.6, 216.9, 140.0, 171.3, 174,4, 100.8, 168.1, 163.9, 139.0, 131.6 ng/ul"])])," ",_h("tr",[_h("td",["2015/12/18"])," ",_h("td",["A"])," ",_h("td",["S"])," ",_h("td",["Double digestion"])," ",_h("td",["Double digestion of PLKO.1"])," 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",_h("td",["Transwell"])," ",_h("td",["Transwell of 7721"])," ",_h("td",["failed"])," ",_h("td")])," ",_h("tr",[_h("td",["2016/10/17"])," ",_h("td",["D"])," ",_h("td",["W"])," ",_h("td",["Flow cytometry"])," ",_h("td",["Flow cytometry of 7721"])," ",_h("td")," ",_h("td")])])])])]);
}]}},function(module,exports){module.exports={render:function(){with(this)return _m(0)},staticRenderFns:[function(){with(this)return _h("p",["NOT FOUND 404"])}]}},function(module,exports){module.exports={render:function(){with(this)return _m(0)},staticRenderFns:[function(){with(this)return _h("div",{staticClass:"col-xs-12",attrs:{id:"fd-results"}},[_h("h2",{staticClass:"page-title"},["Results"])," ",_h("div",{staticClass:"col-xs-12"},[_h("h3",["shRNAs selection and efficiency"])," ",_h("p",["\n      After searching ",_h("sup",["1,2"])," we selected HK II, PFK (both are rate-limiting enzyme in glycolysis),\n      and ASCT2 (mediates uptake of glutamine in tumor cell) which are stably expressed in liver cell as targets.\n      10 shRNA candidates are designed with DsiRNA Design Tool\n      ( ",_h("a",{attrs:{href:"https://sg.idtdna.com/site/order/designtool/index/DSIRNA_CUSTOM"}},["https://sg.idtdna.com/site/order/designtool/index/DSIRNA_CUSTOM "]),"),\n      with ",_h("strong",["sh1~3 target in PFK, sh4~8 in ASCT2 and sh9~10 target in HK II"]),".\n      We transfected 7721 and 293T cell line with the pKLO.1-single shRNA vector,\n      and eliminated untransformed cell under puromycin pressure lasting for 24hs (twice).\n      We used qPCR to quantify each knock-down efficiency, and chose the top 5 to construct stable transfected cell line.\n    "])," ",_h("p",["\n      We used qPCR and western-blot to evaluate knock-down efficiency in stably transfected cell line.\n      non-target shRNA was used as control and normalized standard. each shRNA target in HK II and PFK functions significantly (Fig.1A),\n      and they even reveal additional knock-down effect on other targets.\n      However, out of our expect, shRNAs target in ASCT2 do not actually decrease ASCT2 mRNA level.\n      On the contrary, ASCT2 is enhanced with these shRNAs.\n      Repeat experiment confirmed this similar result. Since we still didn't figure out its reason,\n      we decided to mainly focus on PFK and HK II, ie., the glycolysis process. Western blot results is Fig.1B~C.\n    "])," ",_h("p",["\n      Knock-down of glycolysis pathway should hamper cell development,\n      therefore we performed a series of cell experiments to test whether we successfully disturb cancer cell normal growth.\n      We took colony formation assay and cck8 to evaluate viability of 7721. Compared with control,\n      knockdown of glycolysis pathway actually influences cell living,\n      especially when targeting in HK II (Fig.2A).\n      cck8 results didn’t reflect significant distinction between Control and treated cell.\n      Therefore we drew conclusions that single shRNA may not play well due to highly stable expression level of targets.\n      We are looking forward to combine these shRNAs together to achieve an expected result.\n    "])," ",_h("p",{staticClass:"img"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/c/c2/Results-1.jpeg",alt:""}})])," ",_h("p",{staticClass:"img"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/9/9f/Results-2.jpeg",alt:""}})])," ",_h("p",{staticClass:"explain"},["\n      Figure. 1 Test of several shRNA candidates. (A). qPCR result of stably transfected shRNA.\n      Title is the transfected shRNA and its target. Ocean blue bar stands for non-target (control) shRNA; (B)(C).\n      Western blot of 3 selected shRNAs knock-down results. sh1 targets in PFK, sh9 and sh10 target in HK II.\n    "])," ",_h("div",{staticClass:"img col-xs-12"},[_h("div",{staticClass:"col-xs-6"},[_h("img",{staticClass:"left",attrs:{src:"http://2016.igem.org/wiki/images/e/e8/Results-3.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/0/0b/Results-6.jpeg",alt:""}})," ",_h("p",{staticClass:"explain"},["\n          Figure. 2 Colony formation assay of 3 selected shRNAs knock-down effect.\n          sh1 targets in PFK, sh9 and sh10 target in HK II."])])])," ",_h("p",["\n      Compared with control, knockdown of glycolysis pathway actually influences cell living, especially when targeting in HK II (Fig.2).\n    "])])," ",_h("div",{staticClass:"col-xs-12"},[_h("h3",["Basic parts’ verificationBasic"])," ",_h("p",["\n      Before we assembly all the parts into one system, we did a series of proof of principle experiments to qualify each part.\n      hTERT promoter is cloned from 293T genome DNA, and since its activity is distinguishable between somatic cell and carcinoma cell,\n      we performed dual luciferase assay to test whether it qualifies to be a cancer-specific promoter.\n      Promoter activity is reflected by the fluorescence ratio of luciferase and renilla in 7721 (hepatoma cell line) or 13D (primary fibroblast).\n      As shown in Fig.3A,  hETRT promoter activity in cancer cell is significantly higher than in primary cell,\n      which possesses a relatively very low activity (That could be caused by several subculture after getting this cell).\n    "])," ",_h("div",{staticClass:"img col-xs-12"},[_h("div",{staticClass:"col-xs-6"},[_h("img",{staticClass:"left",attrs:{src:"http://2016.igem.org/wiki/images/6/60/Results-4.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6"},[_h("p",{staticClass:"explain"},["\n          Figure. 3 Verification of hTERT promoter and the new tet-off switch.\n          (A).Dual luciferase assay result, with y axis value stands for fluorescence ratio of luciferase and renilla;\n          (B). tet-off-U6 leak test under gradient doxycycline induction.\n        "])])])," ",_h("p",{staticClass:"img"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/9/99/Results-5.jpeg",alt:""}})])," ",_h("p",["\n      We then continued to test the tet-off-U6 switch we constructed.\n      we adopted GFP as the report gene, and this system behaves extremely good in 293T cell.\n      Different dose of doxycycline is applied to cell, and after 24 hours GFP fluorescence is detected (Fig.3 B).\n      Positive control cell is transfected with CMV-GFP compared to tet-off-U6-GFP in experimental groups.\n      Since CMV performs better than U6 in expressing coding mRNA, GFP is brighter in Control than in 0 μg/ml group.\n      Trace amounts of Dox significantly suppress expression without turnover.\n      Cell density is alike among different groups.\n    "])])," ",_h("div",{staticClass:"col-xs-12"},[_h("h3",["Application in other type of cancer"])," ",_h("p",["\n      Because PFK and HK II levels are also high in other organs like pancreas,\n      we decide to test the same system in pancreatic cancer cell line to demonstrate its reliability.\n      We chose pancI (a human pancreas epithelioid carcinoma cell line) to construct stable transfected cell line and performed qPCR (Fig.4).\n      Result reveals that knock-down efficiency is low, and we assumed that it is because our puro-selection is not complete.\n    "])," ",_h("div",{staticClass:"img col-xs-12"},[_h("div",{staticClass:"col-xs-6"},[_h("img",{staticClass:"left",attrs:{src:"http://2016.igem.org/wiki/images/4/45/Results-7.jpeg",alt:""}})])," ",_h("div",{staticClass:"col-xs-6"},[_h("p",{staticClass:"explain"},["\n          Figure. 4 qPCR result of stably transfected shRNA in pancI cell line.\n          Title is the transfected shRNA and its target. Ocean blue bar stands for non-target (control) shRNA\n        "])])])," ",_h("p",["\n      Again, ASCT2 knock-down result appears aberrant. Therefore we assumed that these shRNAs are off-target,\n      or that ASCT2 expression level is adjustable and would remain steady in cell.\n      However, we recently knew that silence OGDH ( the E1 subunit of the α-ketoglutarate dehydrogenase complex)\n      with siRNA instead would hamper glutamine anaplerotic reaction heavily.\n      We planed to adopt this target in our further research.\n    "])])," ",_h("div",{staticClass:"col-xs-12 refer"},[_h("p",[_h("sup",["1"]),"Bungard C I, McGIVAN J D. Glutamine availability up-regulates expression of the amino acid transporter\n      protein ASCT2 in HepG2 cells and stimulates the ASCT2 promoter[J].\n      Biochemical Journal, 2004, 382(1): 27-32.\n    "])," ",_h("p",[_h("sup",["2"]),"Gwak G Y, Yoon J H, Kim K M, et al.\n      Hypoxia stimulates proliferation of human hepatoma cells through the induction of hexokinase II expression[J].\n      Journal of hepatology, 2005, 42(3): 358-364.\n    "])])])}]}},function(module,exports){module.exports={render:function(){with(this)return _h("div",{staticClass:"col-xs-12",attrs:{id:"myCarousel"}},[_h("div",{staticClass:"carousel slide"},[_h("ol",{staticClass:"carousel-indicators"},[_h("li",{"class":0==curNum?"active":"",on:{click:function(t){curNum=0}}})," ",_h("li",{"class":1==curNum?"active":"",on:{click:function(t){curNum=1}}})," ",_h("li",{"class":2==curNum?"active":"",on:{click:function(t){curNum=2}}})])," "," ",_m(0)," "," 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Fragments synthesized are listed as followed.\n      "])])},function(){with(this)return _h("thead",[_h("tr",{staticClass:"active"},[_h("th",["Name"])," ",_h("th",["Function"])," ",_h("th",["Length(bp)"])])])},function(){with(this)return _h("th",["tTA-Tet O-U6"])},function(){with(this)return _h("th",["747"])},function(){with(this)return _h("th",["tRNA polycistron"])},function(){with(this)return _h("th",["533"])},function(){with(this)return _h("tr",[_h("th",["GFP mirtron"])," ",_h("th",["1006"])])}]}},function(module,exports,__webpack_require__){module.exports={render:function(){with(this)return _h("div",{attrs:{id:"main-human-practice"}},[_m(0)," ",_h("router-link",{attrs:{to:"/HumanPractice"}},[_m(1)])," ",_m(2)])},staticRenderFns:[function(){with(this)return _h("h2",{staticClass:"section-title"},["Human Practice"])},function(){with(this)return _h("ul",{staticClass:"category nav"},[_h("li",{staticClass:"col-sm-6 col-md-3 item"},[_h("p",["Universal Value"])," ",_h("img",{attrs:{src:__webpack_require__(42),alt:"main-human-1.jpg"}})," ",_h("p",["We conduct interview and spread basic knowledge of cancer on Wechat"])])," ",_h("li",{staticClass:"col-sm-6 col-md-3 item"},[_h("p",["Opening Laboratory"])," ",_h("img",{attrs:{src:__webpack_require__(43),alt:"main-human-2.jpg"}})," ",_h("p",["We offer lab work experience to youths in 2016 National Youths Science Summer Camp"])])," ",_h("li",{staticClass:"col-sm-6 col-md-3 item"},[_h("p",["Lectures"])," ",_h("img",{attrs:{src:__webpack_require__(44),alt:"main-human-3.jpg"}})," ",_h("p",["We invite synbio scientists for lecture, and we also act as speaker"])])," ",_h("li",{staticClass:"col-sm-6 col-md-3 item"},[_h("p",["Intel ISEF"])," ",_h("img",{attrs:{src:__webpack_require__(45),alt:"main-human-4.jpg"}})," ",_h("p",["We help a student team prepare for the 2016 Intel ISEF"])])])},function(){with(this)return _h("div",{staticClass:"clearfix"})}]}},function(module,exports,__webpack_require__){module.exports={render:function(){with(this)return _h("div",{attrs:{id:"main-parts"}},[_m(0)," ",_h("p",{staticClass:"section-content"},["\n    Parts we added and documented this year are all about shRNA expression (BBa_K1925001~006).\n    We improve the tet-off system for small RNAs expression, and provide three backbones we mentioned in our Design. ",_m(1)," ",_h("router-link",{attrs:{to:"/Parts"}},["Read more on our Project Description page."])])," ",_h("div",{staticClass:"col-xs-12"},[_h("div",{staticClass:"col-sm-6 col-md-3 col-xs-12 main-parts-img"},[_h("router-link",{attrs:{to:"/Parts"}},[_m(2)])," ",_m(3)])," ",_h("div",{staticClass:"col-sm-6 col-md-3 col-xs-12 main-parts-img"},[_m(4)," ",_h("router-link",{attrs:{to:"/Parts"}},[_m(5)])])," ",_h("div",{staticClass:"col-sm-6 col-md-3 col-xs-12 main-parts-img"},[_m(6)," ",_h("router-link",{attrs:{to:"/Parts"}},[_m(7)])])," ",_h("div",{staticClass:"col-sm-6 col-md-3 col-xs-12 main-parts-img"},[_m(8)," ",_h("router-link",{attrs:{to:"/Parts"}},[_m(9)])])])])},staticRenderFns:[function(){with(this)return _h("h2",{staticClass:"section-title"},["Parts"])},function(){with(this)return _h("br")},function(){with(this)return _h("div",[_h("div",{staticClass:"des"},[" (Basic Part) ",_h("br")," BBa_K1925001 ",_h("br"),"hTERT promoter"])])},function(){with(this)return _h("img",{attrs:{src:__webpack_require__(46),alt:""}})},function(){with(this)return _h("img",{attrs:{src:__webpack_require__(47),alt:""}})},function(){with(this)return _h("div",[_h("div",{staticClass:"des"},["(Improved Part) ",_h("br"),"BBa_K1925003 ",_h("br"),"Tet-off U6"])])},function(){with(this)return _h("img",{attrs:{src:__webpack_require__(48),alt:""}})},function(){with(this)return _h("div",[_h("div",{staticClass:"des"},["BBa_K1925004 ",_h("br"),"U6 array backbone"])])},function(){with(this)return _h("img",{attrs:{src:__webpack_require__(49),alt:""}})},function(){with(this)return _h("div",[_h("div",{staticClass:"des"},["Click to browser ",_h("br"),"all parts of 2016 ",_h("br"),"Fudan iGEM Team"])])}]}},function(module,exports,__webpack_require__){module.exports={render:function(){with(this)return _h("div",{staticClass:"col-xs-12",attrs:{id:"main-reference"}},[_m(0)," ",_h("div",{staticClass:"col-md-3 col-xs-6 item"},[_h("router-link",{attrs:{to:"/Results"}},[_m(1)," ",_m(2)])])," ",_h("div",{staticClass:"col-md-3 col-xs-6 item"},[_h("router-link",{attrs:{to:"/Modelling"}},[_m(3)," ",_m(4)])])," ",_h("div",{staticClass:"col-md-3 col-xs-6 item"},[_h("router-link",{attrs:{to:"/Notebook"}},[_m(5)," ",_m(6)])])," ",_h("div",{staticClass:"col-md-3 col-xs-6 item"},[_h("router-link",{attrs:{to:"/Team"}},[_m(7)," ",_m(8)])])])},staticRenderFns:[function(){with(this)return _h("h2",{staticClass:"section-title"},["Read More"])},function(){with(this)return _h("img",{attrs:{src:__webpack_require__(50),alt:"refer-1"}})},function(){with(this)return _h("p",["Results"])},function(){with(this)return _h("img",{attrs:{src:__webpack_require__(51),alt:"refer-2"}})},function(){with(this)return _h("p",["Modeling"])},function(){with(this)return _h("img",{attrs:{src:__webpack_require__(52),alt:"refer-3"}})},function(){with(this)return _h("p",["Notebook"])},function(){with(this)return _h("img",{attrs:{src:__webpack_require__(53),alt:"refer-4"}})},function(){with(this)return _h("p",["Team"])}]}},function(module,exports){module.exports={render:function(){with(this)return _h("div",{staticClass:"col-xs-12",attrs:{id:"myTimeline"}},[_m(0)," ",_l(3,function(t){return _h("div",{staticClass:"line col-xs-12"},[_m(1,!0)," ",_m(2,!0)])})])},staticRenderFns:[function(){with(this)return _h("h1",["Timeline"])},function(){with(this)return _h("div",{staticClass:"col-xs-1"},[_h("div",{staticClass:"background"})," ",_h("i",{staticClass:"glyphicon glyphicon-unchecked"})])},function(){with(this)return _h("div",{staticClass:"col-xs-10"},[_h("div",{staticClass:"caption"},["2014 October "])," ",_h("div",{staticClass:"paragraph"},[_h("p",["We were debugging our previous design, and we were making our wiki pages and poster. Giant jamboree was waiting for us!"])])])}]}},function(module,exports){module.exports={render:function(){with(this)return _m(0)},staticRenderFns:[function(){with(this)return _h("div",{staticClass:"col-xs-12",attrs:{id:"fd-collaboration"}},[_h("h2",{staticClass:"page-title"},["Collaboration"])," ",_h("div",{staticClass:"col-xs-12 item"},[_h("div",{staticClass:"col-sm-3"},[_h("i",{staticClass:"glyphicon glyphicon-hand-right hidden-xs"})," ",_h("h3",["Team experiment assistance"])])," ",_h("div",{staticClass:"col-sm-9"},[_h("p",["\n        This year we help Tongji_Shanghai with their biobrick assembly.\n        We provided them with pSB1C3 they didn’t receive, chloramphenicol as well as cutting enzyme (SpeI-HF).\n      "])])])," ",_h("div",{staticClass:"col-xs-12 item"},[_h("div",{staticClass:"col-sm-3 col-xs-12 visible-xs"},[_h("h3",["Team instruction"])])," ",_h("div",{staticClass:"col-sm-9 col-xs-12"},[_h("p",["\n        In spring we gave instruction to one of the ShanghaitechChina teams before their team selection on campus.\n        It is their first time to build a iGEM team, so we helped them figure out how to participate in this competition,\n        including team management, details of competition, idea derivation and experiment process.\n        Since we did’t have contacts later we don’t know whether they successfully registered and come to giant jamboree,\n        but we hope they can realize their goal.\n      "])])," ",_h("div",{staticClass:"col-sm-3 hidden-xs"},[_h("i",{staticClass:"glyphicon glyphicon-hand-left"})," ",_h("h3",["Team instruction"])])])," ",_h("div",{staticClass:"col-xs-12 item"},[_h("div",{staticClass:"col-sm-3"},[_h("i",{staticClass:"glyphicon glyphicon-hand-right hidden-xs"})," ",_h("h3",["NCKU Conference"])])," ",_h("div",{staticClass:"col-sm-9"},[_h("p",["\n        In August, we participated in the 2016 International Genetically Engineered Machine Conference in Tainan,\n        Taiwan organized by National Cheng Kung University.\n        Seventeen teams came for idea sharing and exchange.\n        We also gave a poster and presentation there and received valuable advices from other teams.\n      "])])])," ",_h("div",{staticClass:"col-xs-12"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/c/cd/Collaboration-ncku.jpeg",alt:""}})])])}]}},function(module,exports){module.exports={render:function(){with(this)return _m(0)},staticRenderFns:[function(){with(this)return _h("div",{staticClass:"col-xs-12",attrs:{id:"fd-introduction"}},[_h("h2",{staticClass:"page-title"},["Introduction"])," ",_h("div",{staticClass:"col-xs-12 item"},[_h("div",{staticClass:"col-sm-3"},[_h("i",{staticClass:"glyphicon glyphicon-cloud hidden-xs"})," ",_h("h3",["Hepatoma in China"])])," ",_h("div",{staticClass:"col-sm-9"},[_h("p",["\n        According to WHO ",_h("span",{staticClass:"italic"},["World Cancer Report 2014"]),",\n        in 2012 newly emerged hepatoma in China accounts for about 50% of global cases that year.\n        In China, morbidity of hepatocellular carcinoma (HCC) is over 0.2%, compared to 0.005% in developed country ",_h("sup",["1"]),".\n        It is astonishing that hepatoma is such prevalent in our nation, not to mention its high mortality. Besides,\n        transplantation remains the best option for patients with HCC,\n        while radiotherapy and chemotherapy only receive minimal response ",_h("sup",["2"]),".\n        Therefore new therapy has great potential in curing hepatoma.\n      "])," ",_h("p",["This year Fudan iGEM team adopted distinctive way to fight with hepatic carcinoma along with other types of cancer:\n        blocking neoplastic energetic pathways through applying tandem shRNAs.\n      "])])])," ",_h("div",{staticClass:"col-xs-12 item"},[_h("div",{staticClass:"col-sm-3"},[_h("i",{staticClass:"glyphicon glyphicon-send hidden-xs"})," ",_h("h3",["Glycolysis in Carcinoma"])])," ",_h("div",{staticClass:"col-sm-9"},[_h("p",{staticClass:"quote"},["\n        “as law enforcement follows the money that finances the underworld operations of criminal and terrorist organizations scientific investigation needs to follow the flow of ATP because the tumor economy is inextricably linked to a precarious single-source energy pipeline. ",_h("sup",["3"]),"  ”\n      "])," ",_h("p",["\n        Warburg Effect is remarkable among various types of cancer,\n        and few kinds of somatic cells as well as stem cells.\n        Carcinoma discards oxidative phosphorylation,\n        the most effective way for energy production and in turn depends heavily on glycolysis,\n        pentose phosphate and glutamine metabolism (due to anaplerotic reaction) ",_h("sup",["4,5"])," ,\n        whether the changes are spontaneous or compulsory remains unknown yet.\n        If we could scrag these overflowing pathways we are very likely to starve cancer cell.\n      "])," ",_h("p",["\n        Former researchers used drug to cut off glycolysis and proved good results,\n        therefore we adopt shRNA as an adjustable tool to inhibit energetic pathway.\n        Short hairpin RNA (shRNA) is small, easy to construct, and efficient for targeted gene knockdown.\n        It possess higher stability and efficiency compared with common small interference RNA (siRNA) ",_h("sup",["6"]),". Moreover,\n        shRNAs is a transcriptional gene silencing (TGS) tool rather than a genome editing one,\n        which can skirt some controversial ethical issues.\n      "])])])," ",_h("div",{staticClass:"col-xs-12 col-xs-offset-0 col-md-10 col-md-offset-1 refer"},[_h("p",[_h("sup",["1"]),' Stewart, B., and Christopher P. Wild. "World cancer report 2014." World (2016).'])," ",_h("p",[_h("sup",["2"]),"Hepatocellular Carcinoma Treatment & Management, 2015. http://emedicine.medscape.com/article/197319-treatment"])," ",_h("p",[_h("sup",["3"]),'T Oronsky, Bryan, et al. "Follow the ATP: tumor energy production: a perspective." Anti-Cancer Agents in Medicinal Chemistry (Formerly Current Medicinal Chemistry-Anti-Cancer Agents) 14.9 (2014): 1187-1198.'])," ",_h("p",[_h("sup",["4"]),'Lee, Min Gyu, and Peter L. Pedersen. "Glucose Metabolism in cancer importance of transcription factor-DNA interactions within a short segment of the proximal region of the type II hexokinase promoter."Journal of Biological Chemistry 278.42 (2003): 41047-41058.'])," ",_h("p",[_h("sup",["5"]),'Dang, C. V. "Therapeutic targeting of Myc-reprogrammed cancer cell metabolism." Cold Spring Harbor symposia on quantitative biology. Vol. 76. Cold Spring Harbor Laboratory Press, 2011.'])," ",_h("p",[_h("sup",["6"]),'Rao, Donald D., et al. "siRNA vs. shRNA: similarities and differences." Advanced drug delivery reviews 61.9 (2009): 746-759.'])])])}]}},function(module,exports){module.exports={render:function(){with(this)return _m(0)},staticRenderFns:[function(){with(this)return _h("div",{staticClass:"col-xs-12",attrs:{id:"fd-human-practice"}},[_h("h2",{staticClass:"page-title"},["Human Practice"])," ",_h("div",{staticClass:"col-xs-12 item"},[_h("div",{staticClass:"col-sm-3"},[_h("i",{staticClass:"glyphicon glyphicon-globe hidden-xs"})," ",_h("h3",["Universal Value"])])," ",_h("div",{staticClass:"col-sm-9"},[_h("p",["\n        Cancer is common around us (64.4% in our interview), but many still know little about it.\n        we discovered public misunderstanding about cancer and its therapies,\n        due to the break-out of some negative news not long ago in China ",_h("sup",["1"]),".\n        We conducted an interview of public knowledge and opinion to cancer and received 1001 answers,\n        many of them (59.7%) came from our former generation.\n        Among them, 41.7% holds pessimistic view to cancer treatment,\n        and around 91.5% knows nothing about the theories of accurate medical treatment or new cancer therapy.\n      "])," ",_h("p",{staticClass:"img"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/a/a2/Human-smart-phone.jpeg",alt:""}})])," ",_h("p",["\n        In order to establish correct view instead of inexplicable fear towards carcinoma,\n        we twittered a series of popular science articles about cancer from other writers on the wechat public platform.\n        We hope that from basic reading most people like our parents would have a new knowledge about cancer itself.\n      "])," ",_h("p",{
staticClass:"refer"},[_h("sup",["1"])," Cancer and the internet: The strange, sad case of Wei Zexi. The mit press,\n        2016. ",_h("a",["https://mitpress.mit.edu/blog/cancer-and-internet-strange-sad-case-wei-zexi"])])])])," ",_h("div",{staticClass:"col-xs-12 item"},[_h("div",{staticClass:"col-sm-3"},[_h("i",{staticClass:"glyphicon glyphicon-tags hidden-xs"})," ",_h("h3",["Opening Laboratory"])])," ",_h("div",{staticClass:"col-sm-9 col-xs-12"},[_h("p",["\n        We collaborated with Fudan Student Union to hold the 2016 National Youths Science SummerShanghai Subcamp. We led the summer camp students for a lab tour to let them know how research is carried out, and we provided them opportunity to analyze their ALDH2 genotype.\n        SynBio theory is integrated in the introduction and discussions during experiment.\n      "])," ",_h("p",{staticClass:"img"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/7/73/Human-lab-1.jpeg",alt:"lab-1"}})])])])," ",_h("div",{staticClass:"col-xs-12 item"},[_h("div",{staticClass:"col-sm-3"},[_h("i",{staticClass:"glyphicon glyphicon-thumbs-up hidden-xs"})," ",_h("h3",["Lectures"])])," ",_h("div",{staticClass:"col-sm-9"},[_h("p",["\n        Synthetic biology is still a non-familiar area among people, far less well-known than GMO or other concepts.\n        Therefore we invited several professors to hold lectures about development of Synbio,\n        including the noble academician of CAS, Guoping Zhao. He is the pioneer of synbio in China,\n        and we received positive responses from audience after lecture.\n      "])," ",_h("p",{staticClass:"img"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/0/0d/Human-lecture-1.jpeg",alt:"human-lecture-1"}})])," ",_h("p",["\n        Fudan iGEM team also step out to spread knowledge on our own.\n        We are invited to give a subject talk of synthetic biology in the Creative Week of Shanghai Experimental School.\n        We introduced the recent progress and application in synthetic biology.\n        Besides, our team regularly held journal club to discuss excellent wiki of past teams with freshman major in life science.\n      "])," ",_h("p",{staticClass:"img"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/5/57/Human-lecture-2.jpeg",alt:"human-lecture-2"}})])])])," ",_h("div",{staticClass:"col-xs-12 item"},[_h("div",{staticClass:"col-sm-3"},[_h("i",{staticClass:"glyphicon glyphicon-map-marker hidden-xs"})," ",_h("h3",["Intel ISEF"])])," ",_h("div",{staticClass:"col-sm-9"},[_h("p",["\n        Another collaboration we want to mention though it did not meet the official criteria is\n        that we guided students of SJTU affiliated junior school to prepare for the 2016 Intel ISEF on May 12th.\n        We volunteered to verify project design, tutor lab skills and provides bench for their experiments.\n        The project aims to build a biological calculator which uses DNA and restriction enzyme to realize simple addition and subtraction.\n        It sounds quite exciting and has sense of synthetic biology,\n        which is the main reason why we offer them helps.\n        We hope more young students could learn about synthetic biology and brainstorm a innovative idea regardless of its usage or application.\n        This is of great significance to culture students’ interest in life science.\n      "])," ",_h("p",{staticClass:"img"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/b/b1/Human-isef.jpeg",alt:"isef"}})])])])])}]}},function(module,exports){module.exports={render:function(){with(this)return _h("div",{staticClass:"col-xs-12",attrs:{id:"fd-modelling"}},[_m(0)," ",_m(1)," ",_h("iframe",{attrs:{src:"http://2016.igem.org/wiki/images/6/60/Modelling.pdf",frameborder:"0",scrolling:"no"}},[_m(2)])])},staticRenderFns:[function(){with(this)return _h("h2",{staticClass:"page-title"},["Modelling"])},function(){with(this)return _h("p",{staticClass:"page-content"},["This year Fudan team build a simple model to compare dynamics between two shRNAs expressing methods\n    (driven by tandem U6 array or by single promoter like mirtrons and tRNA polycistron).\n    Calculation and plotting is completed on Wolfram Mathematica.\n  "])},function(){with(this)return _h("p",["It appears your web browser doesn't support iframes."])}]}},function(module,exports){module.exports={render:function(){with(this)return _h("div",{staticClass:"col-xs-12",attrs:{id:"fd-design"}},[_m(0)," ",_h("ul",{staticClass:"category col-xs-12 nav"},[_h("li",{staticClass:"col-xs-4 icon-item",on:{click:function(t){location(1)}}},[_m(1)," ",_m(2)])," ",_h("li",{staticClass:"col-xs-4 icon-item",on:{click:function(t){location(2)}}},[_m(3)," ",_m(4)])," ",_h("li",{staticClass:"col-xs-4 icon-item",on:{click:function(t){location(3)}}},[_m(5)," ",_m(6)])])," ",_m(7)," ",_m(8)])},staticRenderFns:[function(){with(this)return _h("h2",{staticClass:"page-title"},["Design"])},function(){with(this)return _h("div",{staticClass:"one"},[_h("i",{staticClass:"glyphicon glyphicon-tags"})])},function(){with(this)return _h("p",["Tandem shRNAs expression"])},function(){with(this)return _h("div",{staticClass:"two"},[_h("i",{staticClass:"glyphicon glyphicon-globe"})])},function(){with(this)return _h("p",["Mirtrons and tRNA polycistron"])},function(){with(this)return _h("div",{staticClass:"three"},[_h("i",{staticClass:"glyphicon glyphicon-map-marker"})])},function(){with(this)return _h("p",["Adenovirus package"])},function(){with(this)return _h("div",{staticClass:"col-xs-12 specific"},[_h("div",{attrs:{id:"fd-design-1"}})," ",_h("h3",{staticClass:"page-small-title"},["Tandem shRNAs expression"])," ",_h("div",[_h("p",["\n        Rate-limiting enzyme controls the overall rate of a chemical reaction. Thus we choose shRNAs targeting rate-limiting enzymes like hexokinase 2 (HK2), phosphofructokinase (PFK), etc. in the glycolysis pathways. Since single shRNA cannot guarantee sufficient elimination, we decide to test multiple candidates and select the best few of them to act together. Our original design is to put selected shRNAs in the U6 array, i.e. to construct separate U6 promoters each followed with a candidate.\n      "])," ",_h("p",["\n        Tandem shRNAs expression system provides another advantage that our targets could be altered frequently to ensure efficient silencing results. Altering targets in different treatment causes could prevent excessive mutations for carcinoma to evade suppressions under particular pressures. With certain flanking sequence of shRNA (in our design is 5’-CCGG-hairpin-TTTTTG-3’), specific restriction enzyme cutting sites can be set in advance to harbor different shRNAs. Therefore we could change our shRNAs combination by simple digestion and ligation within this backbone.\n      "])])," ",_h("div",{attrs:{id:"fd-design-2"}})," ",_h("h3",{staticClass:"page-small-title"},["Mirtrons and tRNA polycistron"])," ",_h("div",[_h("p",["\n        However, too many promoters would dilute transcriptional factors and compromise shRNA expression. Therefore we continued to seek novel solutions with higher efficiency and convenience, among which mirtron shows good potential. First discovered in Drosophila ",_h("sup",["1"]),",  mirtrons are natural pre-microRNA (pre-miRNA) hairpins produced through splicing from mRNA introns. They can be regulated with one RNA Pol II promoter, offering more designing options as well as higher expressing level. Besides, since a mRNA can harbor several introns, this design can achieve simultaneous delivery of multiple shRNAs within one mRNA. Other than their primary processing way (mirtrons are processed by cellular splicing machine and lariat debranching enzyme), they are transported and perform like normal siRNAs ",_h("sup",["2"]),", ensuring similar efficiency of silencing. We designed artificial 3′-tailed mirtrons for their less sequence constraints ",_h("sup",["3"]),". U6 promoter is replaced by a CMV promoter. Design is listed as followed.\n      "])," ",_h("p",{staticClass:"img"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/0/08/Design-1.jpeg",alt:"design-1"}})])," ",_h("p",["\n        Another improvement is to utilize the endogenous tRNA-processing system which precisely cleaves both ends of the tRNA precursor for tandem shRNAs expression. Eukaryotic pre-tRNA with 5’ leader and 3’ trailer is cleaved by RNase P and RNase Z at specific sites, leaving ‘spacer’ sequence between two tRNAs. Others had shown that gRNA can be successfully expressed within this ‘spacer’",_h("sup",["4"])," , thus we modify this backbone to fit shRNAs. Design is listed as followed.\n      "])," ",_h("p",{staticClass:"img"},[_h("img",{attrs:{src:"http://2016.igem.org/wiki/images/0/0d/Design-2.jpg",alt:"design-2"}})])])," ",_h("div",{attrs:{id:"fd-design-3"}})," ",_h("h3",{staticClass:"page-small-title"},["Adenovirus package"])," ",_h("div",[_h("p",["\n        We hope to apply tandem shRNAs for in vivo therapeutic use, therefore we chose the most commonly used, serotype 5 (Ad5) replicative-deficient adenovirus as the vehicle. Because of its large packaging capacity and non-integrated characteristic, etc., adenovirus had been widely employed in clinical trials ",_h("sup",["5"]),". Replicative-deficiency prevents viral self-proliferation inside patient, which could possibly induce long-term immune response.\n      "])," ",_h("p",["\n        We used human telomerase reverse transcriptase (TERT) promoter to specifically target cells with TERT activity as BGU_Israel did last year. We also added a Tet-off switch to manipulate shRNAs expression in vitro, for that we cultured HEK293 for adenovirus amplification, which also possesses hTERT activity. shRNAs expression should be eliminated during production (while we can add Doxycycline to control) and becomes normal again in vivo. Design is listed as followed.\n      "])])])},function(){with(this)return _h("div",{staticClass:"col-xs-12 refer"},[_h("p",[_h("sup",["1"]),"Okamura,K., Hagen,J.W., Duan,H., Tyler,D.M. and Lai,E.C. (2007) The mirtron pathway generates microRNA-class regulatory RNAs in Drosophila. Cell, 130, 89–100."])," ",_h("p",[_h("sup",["2"]),"Berezikov,E., Chung,W.J., Willis,J., Cuppen,E. and Lai,E.C. Mammalian mirtron genes. Mol. Cell, 28, 328–336"])," ",_h("p",[_h("sup",["3"]),'Kock, Kian Hong, et al. "Functional VEGFA knockdown with artificial 3′-tailed mirtrons defined by 5′ splice site and branch point." Nucleic acids research 43.13 (2015): 6568-6578.'])," ",_h("p",[_h("sup",["4"]),'Xie, Kabin, Bastian Minkenberg, and Yinong Yang. "Boosting CRISPR/Cas9 multiplex editing capability with the endogenous tRNA-processing system." Proceedings of the National Academy of Sciences 112.11 (2015): 3570-3575.'])," ",_h("p",[_h("sup",["5"]),'Rein, Daniel T., M. Breidenbach, and David T. Curiel. "Current developments in adenovirus-based cancer gene therapy." 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d=t})}}return o}}},Mi=h({tag:String,moveClass:String},Ei);delete Mi.mode;var Ii={props:Mi,render:function(t){for(var e=this.tag||this.$vnode.data.tag||"span",n=Object.create(null),i=this.prevChildren=this.children,o=this.$slots["default"]||[],r=this.children=[],a=Ie(this),A=0;A<o.length;A++){var s=o[A];if(s.tag)if(null!=s.key&&0!==String(s.key).indexOf("__vlist"))r.push(s),n[s.key]=s,(s.data||(s.data={})).transition=a;else;}if(i){for(var c=[],d=[],l=0;l<i.length;l++){var h=i[l];h.data.transition=a,h.data.pos=h.elm.getBoundingClientRect(),n[h.key]?c.push(h):d.push(h)}this.kept=t(e,null,c),this.removed=d}return t(e,null,r)},beforeUpdate:function(){this.__patch__(this._vnode,this.kept,!1,!0),this._vnode=this.kept},updated:function(){var t=this.prevChildren,e=this.moveClass||this.name+"-move";if(t.length&&this.hasMove(t[0].elm,e)){t.forEach(ze),t.forEach(Ye),t.forEach(Ze);document.body.offsetHeight;t.forEach(function(t){if(t.data.moved){var n=t.elm,i=n.style;je(n,e),i.transform=i.WebkitTransform=i.transitionDuration="",n.addEventListener(ki,n._moveCb=function o(t){t&&!/transform$/.test(t.propertyName)||(n.removeEventListener(ki,o),n._moveCb=null,Fe(n,e))})}})}},methods:{hasMove:function(t,e){if(!yi)return!1;if(null!=this._hasMove)return this._hasMove;je(t,e);var n=xe(t);return Fe(t,e),this._hasMove=n.hasTransform}}},Xi={Transition:Gi,TransitionGroup:Ii};yt.config.isUnknownElement=zt,yt.config.isReservedTag=si,yt.config.getTagNamespace=Jt,yt.config.mustUseProp=_n,h(yt.options.directives,Di),h(yt.options.components,Xi),yt.prototype.__patch__=cn._isServer?m:Ni,yt.prototype.$mount=function(t,e){return t=t&&!cn._isServer?Yt(t):void 0,this._mount(t,e)},setTimeout(function(){cn.devtools&&Un&&Un.emit("init",yt)},0),t.exports=yt}]);
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