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{
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"id": "B-17iXUF",
"title": "\"Бджола не літає у поле по взяток...\"",
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"html": "\n<h4></h4>\n\n<a href=\"/metrs.php?id=156&type=tvorch\" class=\"redhr1\">Творчість</a> |\n<a href=\"/metrs.php?id=156&type=biogr\" class=\"redhr1\">Біографія</a> |\n<a href=\"/metrs.php?id=156&type=critiques\" class=\"redhr1\">Критика</a>\n\n<h4>\"Бджола не літає у поле по взяток...\"</h4>\n<!--<div style=\"float:right;margin-left: 10px\">\n\t<script async src=\"//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js\"></script>\n\n\t<ins class=\"adsbygoogle\"\n\t\t style=\"display:inline-block;width:250px;height:400px\"\n\t\t data-ad-client=\"ca-pub-5357335372099528\"\n\t\t data-ad-slot=\"7581761695\"></ins>\n\t<script>\n\t(adsbygoogle = window.adsbygoogle || []).push({});\n\t</script>\n</div>-->\n\nБджола не літає у поле по взяток.<br>\nПтахи одспівали. Озимі зійшли.<br>\nТруди, перелиті в добро і достаток,<br>\nЛягли короваєм на щедрі столи.<br>\n<br>\nНа всьому якась особлива шляхетність.<br>\nПритишений ліс, урочиста ріка.<br>\nІ ключ журавлиний пливе в безконечність,<br>\nІ тиша над ним повисає щемка.<br>\n<br>\nНа пагорбі станеш, окинеш простори -<br>\nЯка широчінь, далина, висота!<br>\nПовітря прозоре, і небо - як море,<br>\nІ кожна билина довкола - свята.<br>\n<br>\nЦе осінь. І осинь. І перші морози.<br>\nІ листя прижухле роняють дуби.<br>\nІ все проступає неначе крізь сльози:<br>\nДивись і дивуйся, шануй і люби!\n\n\n<br><br>\n"
} |
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{"title": "Mother and daughter burnt to death in Kahawatta", "content": ["\u00a0 Two burnt female bodies were found early this morning from a house in Kotaketana in Kahawatta, Police Media spokesman SP Ajith Rohana said\u2026. "], "link": "https://www.onlanka.com/news/mother-and-daughter-burnt-to-death-in-kahawatta.html", "date_published": "July 19, 2012", "category": "Local News"} |
{"poster":"JinXv","date":"2016-03-24T12:13:43.101+0000","title":"Client Error when i press play?","subforum":"Help & Support (OCE)","embed":{"description":"The easy way to save screenshots, GIFs, and websites. Make everyone happy by sharing smarter, faster, and with your point crystal clear.","url":"https://gyazo.com/a1a4a84e0a984d7af5fa3628ac7a9d68","image":"https://i.gyazo.com/thumb/1200/_089f6cb6058e67276c910f63a10616d6-png.jpg"},"up_votes":1,"down_votes":0,"body":"i just downloaded the new patch and when i tried launching my client it showed me this error message? i have never seen this error message before and am attempting to repair my client now. any thoughts on what has caused this? was it the patch?","replies":[{"poster":"SephirothSG","date":"2016-03-24T23:46:56.579+0000","up_votes":1,"down_votes":0,"body":"Hey there,\n\nCould you try [repairing your client](https://support.riotgames.com/hc/en-us/articles/201761974-Bug-Splat-and-Game-Crashes#wq6), let me know if this helps out.","replies":[{"poster":"JinXv","date":"2016-03-28T05:07:50.389+0000","up_votes":1,"down_votes":0,"body":"hey, client works now after the repair. still would like to know what caused this exactly because it has never happened before and would like to prevent it.\n\n- Sorry for the late reply","replies":[{"poster":"SephirothSG","date":"2016-03-28T05:27:38.445+0000","up_votes":1,"down_votes":0,"body":"More than likely a corrupted file from patching, this could be caused when the patcher has issues retrieving a specific file (as in, it half downloads something and assumes it's finished, usually caused by an intermittent network connection while patching)","replies":[]}]}]}]} |
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{"code":"6105042007","province_code":"61","regency_code":"6105","district_code":"610504","name":"SUNGAI DERAS"} |
{"RECORDS":
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{"Irank": "2", "MovieName": "加勒比海盗5:死无对证", "BoxOffice": "804259000.0", "SumBoxOffice": "804259000.0", "Director": "艾斯彭·山德伯格", "Genre1": "动作", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "约翰尼·德普", "CAST2": "哈维尔·巴登", "CAST3": "杰弗里·拉什", "CAST4": "布伦顿·思韦茨", "CAST5": "卡雅·斯考达里奥"},
{"Irank": "3", "MovieName": "银河护卫队2", "BoxOffice": "684708000.0", "SumBoxOffice": "684708000.0", "Director": "詹姆斯·古恩", "Genre1": "动作", "Genre2": "科幻", "Genre3": "冒险", "CAST1": "克里斯·帕拉特", "CAST2": "佐伊·索尔达娜", "CAST3": "戴夫·巴蒂斯塔", "CAST4": "范·迪塞尔", "CAST5": "布莱德利·库珀"},
{"Irank": "4", "MovieName": "拆弹专家", "BoxOffice": "216363000.0", "SumBoxOffice": "216363000.0", "Director": "邱礼涛", "Genre1": "动作", "Genre2": "悬疑", "Genre3": "犯罪", "CAST1": "刘德华", "CAST2": "姜武", "CAST3": "宋佳", "CAST4": "吴卓羲", "CAST5": "姜皓文"},
{"Irank": "5", "MovieName": "速度与激情8", "BoxOffice": "177734000.0", "SumBoxOffice": "177734000.0", "Director": "F·加里·格雷", "Genre1": "动作", "Genre2": "犯罪", "Genre3": "-", "CAST1": "范·迪塞尔", "CAST2": "道恩·强森", "CAST3": "查理兹·塞隆", "CAST4": "杰森·斯坦森", "CAST5": "米歇尔·罗德里格兹"},
{"Irank": "6", "MovieName": "记忆大师", "BoxOffice": "135177000.0", "SumBoxOffice": "135177000.0", "Director": "陈正道", "Genre1": "剧情", "Genre2": "悬疑", "Genre3": "惊悚", "CAST1": "黄渤", "CAST2": "段奕宏", "CAST3": "徐静蕾", "CAST4": "杨子姗", "CAST5": "梁杰理"},
{"Irank": "7", "MovieName": "异星觉醒", "BoxOffice": "133144000.0", "SumBoxOffice": "133144000.0", "Director": "丹尼尔·伊斯皮诺萨", "Genre1": "科幻", "Genre2": "惊悚", "Genre3": "恐怖", "CAST1": "杰克·吉伦哈尔", "CAST2": "丽贝卡·弗格森", "CAST3": "瑞恩·雷诺兹", "CAST4": "真田广之", "CAST5": "阿利安·巴克瑞"},
{"Irank": "8", "MovieName": "喜欢你", "BoxOffice": "88278800.0", "SumBoxOffice": "88278800.0", "Director": "许宏宇", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "金城武", "CAST2": "周冬雨", "CAST3": "孙艺洲", "CAST4": "奚梦瑶", "CAST5": "杨祐宁"},
{"Irank": "9", "MovieName": "春娇救志明", "BoxOffice": "78386300.0", "SumBoxOffice": "78386300.0", "Director": "彭浩翔", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "爱情", "CAST1": "余文乐", "CAST2": "杨千嬅", "CAST3": "蒋梦婕", "CAST4": "曾国祥", "CAST5": "秦沛"},
{"Irank": "10", "MovieName": "亚瑟王:斗兽争霸", "BoxOffice": "56956000.0", "SumBoxOffice": "56956000.0", "Director": "盖·里奇", "Genre1": "动作", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "查理·汉纳姆", "CAST2": "裘德·洛", "CAST3": "阿斯特丽德·伯格斯-弗瑞斯贝", "CAST4": "米卡埃尔·佩斯布兰特", "CAST5": "杰曼·翰苏"},
{"Irank": "11", "MovieName": "荡寇风云", "BoxOffice": "50436700.0", "SumBoxOffice": "50436700.0", "Director": "陈嘉上", "Genre1": "动作", "Genre2": "传记", "Genre3": "历史", "CAST1": "赵文卓", "CAST2": "洪金宝", "CAST3": "万茜", "CAST4": "小出惠介", "CAST5": "仓田保昭"},
{"Irank": "12", "MovieName": "蓝精灵:寻找神秘村", "BoxOffice": "47204500.0", "SumBoxOffice": "47204500.0", "Director": "凯利·阿斯博瑞", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "奇幻", "CAST1": "黛米·洛瓦托", "CAST2": "雷恩·威尔森", "CAST3": "乔·曼根尼罗", "CAST4": "杰克·麦克布瑞尔", "CAST5": "丹尼·朴迪"},
{"Irank": "13", "MovieName": "哆啦A梦:大雄的南极冰冰凉大冒险", "BoxOffice": "40668100.0", "SumBoxOffice": "40668100.0", "Director": "高桥敦史", "Genre1": "动画", "Genre2": "冒险", "Genre3": "-", "CAST1": "水田山葵", "CAST2": "大原惠美", "CAST3": "嘉数由美", "CAST4": "木村昴", "CAST5": "关智一"},
{"Irank": "14", "MovieName": "毒。诫", "BoxOffice": "40201600.0", "SumBoxOffice": "40201600.0", "Director": "刘国昌", "Genre1": "剧情", "Genre2": "动作", "Genre3": "犯罪", "CAST1": "刘青云", "CAST2": "林家栋", "CAST3": "古天乐", "CAST4": "张晋", "CAST5": "江一燕"},
{"Irank": "15", "MovieName": "麻烦家族", "BoxOffice": "32265000.0", "SumBoxOffice": "32265000.0", "Director": "黄磊", "Genre1": "喜剧", "Genre2": "家庭", "Genre3": "-", "CAST1": "黄磊", "CAST2": "海清", "CAST3": "王迅", "CAST4": "李立群", "CAST5": "孙莉"},
{"Irank": "16", "MovieName": "超凡战队", "BoxOffice": "30025300.0", "SumBoxOffice": "30025300.0", "Director": "迪恩·以色列特", "Genre1": "动作", "Genre2": "科幻", "Genre3": "冒险", "CAST1": "戴克·蒙哥马利", "CAST2": "娜奥米·斯科特", "CAST3": "RJ·赛勒", "CAST4": "林路迪", "CAST5": "贝姬·戈麦斯"},
{"Irank": "17", "MovieName": "“吃吃”的爱", "BoxOffice": "24198300.0", "SumBoxOffice": "24198300.0", "Director": "蔡康永", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "奇幻", "CAST1": "徐熙娣", "CAST2": "林志玲", "CAST3": "金世佳", "CAST4": "李子峰", "CAST5": "陈汉典"},
{"Irank": "18", "MovieName": "守护者:世纪战元", "BoxOffice": "20149700.0", "SumBoxOffice": "20149700.0", "Director": "萨里·奥德赛耶", "Genre1": "动作", "Genre2": "科幻", "Genre3": "-", "CAST1": "塞巴斯蒂安·斯萨克", "CAST2": "艾琳娜·拉尼娜", "CAST3": "安东·庞布施尼", "CAST4": "瓦谢斯拉夫·拉贝戈耶夫", "CAST5": "桑扎尔·马季耶夫"},
{"Irank": "19", "MovieName": "抢红", "BoxOffice": "16210400.0", "SumBoxOffice": "16210400.0", "Director": "黎明", "Genre1": "动作", "Genre2": "犯罪", "Genre3": "-", "CAST1": "张涵予", "CAST2": "黎明", "CAST3": "王耀庆", "CAST4": "杜鹃", "CAST5": "南伏龙"},
{"Irank": "20", "MovieName": "三只小猪2", "BoxOffice": "15782300.0", "SumBoxOffice": "15782300.0", "Director": "刘炜", "Genre1": "动画", "Genre2": "-", "Genre3": "-", "CAST1": "王晓彤", "CAST2": "李晔", "CAST3": "洪海天", "CAST4": "严丽祯", "CAST5": "贾邱"},
{"Irank": "21", "MovieName": "当怪物来敲门", "BoxOffice": "14418600.0", "SumBoxOffice": "14418600.0", "Director": "胡安·安东尼奥·巴亚纳", "Genre1": "剧情", "Genre2": "儿童", "Genre3": "奇幻", "CAST1": "刘易斯·麦克杜格尔", "CAST2": "西格妮·韦弗", "CAST3": "菲丽希缇·琼斯", "CAST4": "连姆·尼森", "CAST5": "托比·凯贝尔"},
{"Irank": "22", "MovieName": "提着心吊着胆", "BoxOffice": "13628300.0", "SumBoxOffice": "13628300.0", "Director": "李雨禾", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "悬疑", "CAST1": "陈玺旭", "CAST2": "高叶", "CAST3": "任素汐", "CAST4": "董博", "CAST5": "楼云飞"},
{"Irank": "23", "MovieName": "临时演员", "BoxOffice": "11468500.0", "SumBoxOffice": "11468500.0", "Director": "钱江汉", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "郑恺", "CAST2": "热依扎", "CAST3": "郭晓东", "CAST4": "殷桃", "CAST5": "詹瑞文"},
{"Irank": "24", "MovieName": "美容针", "BoxOffice": "10020300.0", "SumBoxOffice": "10020300.0", "Director": "黄美娜", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "闫妮", "CAST2": "杜天皓", "CAST3": "宋伊人", "CAST4": "赵毅新", "CAST5": "张亦驰"},
{"Irank": "25", "MovieName": "傲娇与偏见", "BoxOffice": "9338770.0", "SumBoxOffice": "9338770.0", "Director": "李海蜀", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "迪丽热巴", "CAST2": "张云龙", "CAST3": "高伟光", "CAST4": "金晨", "CAST5": "马薇薇"},
{"Irank": "26", "MovieName": "夏天19岁的肖像", "BoxOffice": "8499270.0", "SumBoxOffice": "8499270.0", "Director": "张荣吉", "Genre1": "爱情", "Genre2": "悬疑", "Genre3": "-", "CAST1": "黄子韬", "CAST2": "杨采钰", "CAST3": "杜天皓", "CAST4": "李梦", "CAST5": "张国柱"},
{"Irank": "27", "MovieName": "我的爸爸是国王", "BoxOffice": "8261610.0", "SumBoxOffice": "8261610.0", "Director": "刘骏", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "奇幻", "CAST1": "吕豆", "CAST2": "禹祥", "CAST3": "绿绮", "CAST4": "小鹿", "CAST5": "-"},
{"Irank": "28", "MovieName": "不期而遇", "BoxOffice": "7013880.0", "SumBoxOffice": "7013880.0", "Director": "陈卓", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "张雨绮", "CAST2": "张亮", "CAST3": "王少雍", "CAST4": "冷中易", "CAST5": "-"},
{"Irank": "29", "MovieName": "灵狼传奇", "BoxOffice": "5924650.0", "SumBoxOffice": "5924650.0", "Director": "马克西姆·法捷耶夫", "Genre1": "动画", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "马克西姆·契克哈里尤夫", "CAST2": "康斯坦丁·哈宾斯基", "CAST3": "费奥多尔·邦达尔丘克", "CAST4": "米克哈尔·加拉斯蒂恩", "CAST5": "洛莉塔·米亚维斯卡亚"},
{"Irank": "30", "MovieName": "潜艇总动员5:时光宝盒", "BoxOffice": "5671180.0", "SumBoxOffice": "5671180.0", "Director": "何子力", "Genre1": "动画", "Genre2": "冒险", "Genre3": "-", "CAST1": "范楚绒", "CAST2": "洪海天", "CAST3": "谢元真", "CAST4": "王燕华", "CAST5": "谭满堂"},
{"Irank": "31", "MovieName": "我是医生", "BoxOffice": "5348580.0", "SumBoxOffice": "5348580.0", "Director": "谢鸣晓", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "赵有亮", "CAST2": "胡亚捷", "CAST3": "赵静", "CAST4": "虞嘉娜", "CAST5": "-"},
{"Irank": "32", "MovieName": "以爱为名", "BoxOffice": "4870300.0", "SumBoxOffice": "4870300.0", "Director": "王毓雅", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "-", "CAST1": "王奕瑾", "CAST2": "黄恺杰", "CAST3": "卞庆华", "CAST4": "钱柏渝", "CAST5": "蔡尚甫"},
{"Irank": "33", "MovieName": "20:16", "BoxOffice": "4582580.0", "SumBoxOffice": "4582580.0", "Director": "吕列", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "刘松仁", "CAST2": "吕星辰", "CAST3": "吴俊余", "CAST4": "王厦", "CAST5": "-"},
{"Irank": "34", "MovieName": "血狼犬", "BoxOffice": "4153260.0", "SumBoxOffice": "4153260.0", "Director": "刘建华", "Genre1": "剧情", "Genre2": "动作", "Genre3": "冒险", "CAST1": "黄宏", "CAST2": "刘向京", "CAST3": "赵婷婷", "CAST4": "孙涛", "CAST5": "王海燕"},
{"Irank": "35", "MovieName": "碟仙前传", "BoxOffice": "3064820.0", "SumBoxOffice": "3064820.0", "Director": "高育新", "Genre1": "惊悚", "Genre2": "恐怖", "Genre3": "-", "CAST1": "王右硕", "CAST2": "伊娜", "CAST3": "郭若寒", "CAST4": "王瑄", "CAST5": "明俊臣"},
{"Irank": "36", "MovieName": "小情书", "BoxOffice": "2894340.0", "SumBoxOffice": "2894340.0", "Director": "乔梁", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "赵顺然", "CAST2": "朱颜曼滋", "CAST3": "姜瑞佳", "CAST4": "高子沣", "CAST5": "杨青"},
{"Irank": "37", "MovieName": "神奇女侠", "BoxOffice": "2546390.0", "SumBoxOffice": "2546390.0", "Director": "派蒂·杰金斯", "Genre1": "动作", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "盖尔·加朵", "CAST2": "克里斯·派恩", "CAST3": "康妮·尼尔森", "CAST4": "罗宾·怀特", "CAST5": "丹尼·赫斯顿"},
{"Irank": "38", "MovieName": "银河守卫队", "BoxOffice": "1963610.0", "SumBoxOffice": "1963610.0", "Director": "杰瑞卡·克莱兰", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "科幻", "CAST1": "詹姆斯·阿诺德·泰勒", "CAST2": "大卫·卡耶", "CAST3": "保罗·吉亚玛提", "CAST4": "约翰·古德曼", "CAST5": "贝拉·索恩"},
{"Irank": "39", "MovieName": "午夜惊魂路", "BoxOffice": "1400460.0", "SumBoxOffice": "1400460.0", "Director": "王良", "Genre1": "惊悚", "Genre2": "恐怖", "Genre3": "-", "CAST1": "曾帅", "CAST2": "王良", "CAST3": "苗青", "CAST4": "卓凡", "CAST5": "武虹言"},
{"Irank": "40", "MovieName": "大话西游之大圣娶亲", "BoxOffice": "1028650.0", "SumBoxOffice": "1028650.0", "Director": "刘镇伟", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "奇幻", "CAST1": "周星驰", "CAST2": "吴孟达", "CAST3": "朱茵", "CAST4": "蔡少芬", "CAST5": "蓝洁瑛"},
{"Irank": "41", "MovieName": "诡异酒楼", "BoxOffice": "913507.0", "SumBoxOffice": "913507.0", "Director": "蒋国权", "Genre1": "惊悚", "Genre2": "-", "Genre3": "-", "CAST1": "欧阳鑫紫", "CAST2": "赵东昊", "CAST3": "李璐兵", "CAST4": "刘勇", "CAST5": "黎明"},
{"Irank": "42", "MovieName": "和田玉传奇", "BoxOffice": "836780.0", "SumBoxOffice": "836780.0", "Director": "郭松", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "唐文龙", "CAST2": "王一楠", "CAST3": "任正斌", "CAST4": "傅斌", "CAST5": "傅莹莹"},
{"Irank": "43", "MovieName": "功夫小兔侠", "BoxOffice": "795244.0", "SumBoxOffice": "795244.0", "Director": "董大可", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "-", "CAST1": "-", "CAST2": "-", "CAST3": "-", "CAST4": "-", "CAST5": "-"},
{"Irank": "46", "MovieName": "塔克拉玛干的鼓声", "BoxOffice": "506940.0", "SumBoxOffice": "506940.0", "Director": "西尔扎提·亚合甫", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "郑晓宁", "CAST2": "安柏伊", "CAST3": "阿依帕丽·乌古力", "CAST4": "伊力扎提·帕尔古扎提", "CAST5": "-"},
{"Irank": "47", "MovieName": "猪猪侠之英雄猪少年", "BoxOffice": "427531.0", "SumBoxOffice": "427531.0", "Director": "陆锦明", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "奇幻", "CAST1": "易烊千玺", "CAST2": "陈轶", "CAST3": "张子琨", "CAST4": "戎妍", "CAST5": "庄承松"},
{"Irank": "48", "MovieName": "夜闯寡妇村", "BoxOffice": "360344.0", "SumBoxOffice": "360344.0", "Director": "邢博", "Genre1": "悬疑", "Genre2": "惊悚", "Genre3": "-", "CAST1": "于朦胧", "CAST2": "王李丹妮", "CAST3": "郭艳", "CAST4": "南笙", "CAST5": "倪大红"},
{"Irank": "49", "MovieName": "放学后", "BoxOffice": "303306.0", "SumBoxOffice": "303306.0", "Director": "刘一君", "Genre1": "家庭", "Genre2": "儿童", "Genre3": "-", "CAST1": "高健", "CAST2": "李嘉诺", "CAST3": "窦学兮", "CAST4": "释小松", "CAST5": "张铭浩"},
{"Irank": "50", "MovieName": "重返·狼群", "BoxOffice": "302076.0", "SumBoxOffice": "302076.0", "Director": "亦风", "Genre1": "纪录片", "Genre2": "-", "Genre3": "-", "CAST1": "李微漪", "CAST2": "-", "CAST3": "-", "CAST4": "-", "CAST5": "-"},
{"Irank": "51", "MovieName": "金刚:骷髅岛", "BoxOffice": "301232.0", "SumBoxOffice": "301232.0", "Director": "乔丹·沃格特-罗伯茨", "Genre1": "动作", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "汤姆·希德勒斯顿", "CAST2": "布丽·拉尔森", "CAST3": "塞缪尔·杰克逊", "CAST4": "约翰·古德曼", "CAST5": "景甜"},
{"Irank": "56", "MovieName": "攻壳机动队", "BoxOffice": "214424.0", "SumBoxOffice": "214424.0", "Director": "鲁伯特·桑德斯", "Genre1": "动作", "Genre2": "科幻", "Genre3": "犯罪", "CAST1": "斯嘉丽·约翰逊", "CAST2": "皮鲁·埃斯贝克", "CAST3": "北野武", "CAST4": "朱丽叶·比诺什", "CAST5": "迈克尔·皮特"},
{"Irank": "57", "MovieName": "辣警霸王花", "BoxOffice": "201698.0", "SumBoxOffice": "201698.0", "Director": "钱国伟", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "-", "CAST1": "岑丽香", "CAST2": "郑欣宜", "CAST3": "何佩瑜", "CAST4": "邓丽欣", "CAST5": "杨思琦"},
{"Irank": "58", "MovieName": "港囧", "BoxOffice": "199314.0", "SumBoxOffice": "199314.0", "Director": "徐峥", "Genre1": "喜剧", "Genre2": "-", "Genre3": "-", "CAST1": "徐峥", "CAST2": "赵薇", "CAST3": "包贝尔", "CAST4": "杜鹃", "CAST5": "葛民辉"},
{"Irank": "60", "MovieName": "咸鱼传奇", "BoxOffice": "151937.0", "SumBoxOffice": "151937.0", "Director": "袁杰", "Genre1": "喜剧", "Genre2": "-", "Genre3": "-", "CAST1": "王宁", "CAST2": "葛天", "CAST3": "来喜", "CAST4": "黄一飞", "CAST5": "连晋"},
{"Irank": "62", "MovieName": "神秘家族", "BoxOffice": "143405.0", "SumBoxOffice": "143405.0", "Director": "朴裕焕", "Genre1": "剧情", "Genre2": "悬疑", "Genre3": "犯罪", "CAST1": "林依晨", "CAST2": "姜武", "CAST3": "陈晓", "CAST4": "惠英红", "CAST5": "蓝正龙"},
{"Irank": "63", "MovieName": "美好的意外", "BoxOffice": "132610.0", "SumBoxOffice": "132610.0", "Director": "何蔚庭", "Genre1": "喜剧", "Genre2": "奇幻", "Genre3": "-", "CAST1": "桂纶镁", "CAST2": "王景春", "CAST3": "欧阳娜娜", "CAST4": "王元也", "CAST5": "陈坤"},
{"Irank": "64", "MovieName": "宝贝,再爱我一次", "BoxOffice": "125759.0", "SumBoxOffice": "125759.0", "Director": "刘学见", "Genre1": "剧情", "Genre2": "家庭", "Genre3": "-", "CAST1": "潘时七", "CAST2": "方妤萌", "CAST3": "石峯", "CAST4": "郁飞扬", "CAST5": "苗贺程"},
{"Irank": "65", "MovieName": "龙骑侠", "BoxOffice": "122114.0", "SumBoxOffice": "122114.0", "Director": "刘可欣", "Genre1": "动画", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "唐小喜", "CAST2": "张雪凌", "CAST3": "路知行", "CAST4": "张璐", "CAST5": "李立宏"},
{"Irank": "69", "MovieName": "贫穷富爸爸", "BoxOffice": "87395.0", "SumBoxOffice": "87395.0", "Director": "张坚庭", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "爱情", "CAST1": "郑嘉颖", "CAST2": "小小彬", "CAST3": "李呈媛", "CAST4": "刘心悠", "CAST5": "-"},
{"Irank": "70", "MovieName": "指甲刀人魔", "BoxOffice": "76347.0", "SumBoxOffice": "76347.0", "Director": "关智耀", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "周冬雨", "CAST2": "张孝全", "CAST3": "纳豆", "CAST4": "林辰唏", "CAST5": "蔡洁"},
{"Irank": "71", "MovieName": "怨灵宿舍之人偶老师", "BoxOffice": "75127.5", "SumBoxOffice": "75127.5", "Director": "陆诗雷", "Genre1": "惊悚", "Genre2": "恐怖", "Genre3": "-", "CAST1": "谢容儿", "CAST2": "薇拉贝儿", "CAST3": "岳文龙", "CAST4": "姚雨鑫", "CAST5": "陈嘉敏"},
{"Irank": "73", "MovieName": "超能兔战队", "BoxOffice": "66374.1", "SumBoxOffice": "66374.1", "Director": "傅燕", "Genre1": "喜剧", "Genre2": "科幻", "Genre3": "动画", "CAST1": "刘红韵", "CAST2": "申克", "CAST3": "周岩", "CAST4": "李思娴", "CAST5": "李旭乔"},
{"Irank": "74", "MovieName": "穆桂英挂帅", "BoxOffice": "60661.0", "SumBoxOffice": "60661.0", "Director": "夏钢", "Genre1": "戏曲", "Genre2": "-", "Genre3": "-", "CAST1": "李胜素", "CAST2": "于魁智", "CAST3": "袁慧琴", "CAST4": "杨赤", "CAST5": "杜喆"},
{"Irank": "75", "MovieName": "领袖1935", "BoxOffice": "59252.0", "SumBoxOffice": "59252.0", "Director": "周琦", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "王晖", "CAST2": "刘劲", "CAST3": "吴京安", "CAST4": "王伍福", "CAST5": "脱一然"},
{"Irank": "77", "MovieName": "爱在前方", "BoxOffice": "56923.0", "SumBoxOffice": "56923.0", "Director": "石易矗", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "周安信", "CAST2": "-", "CAST3": "-", "CAST4": "-", "CAST5": "-"},
{"Irank": "78", "MovieName": "黑白照相馆", "BoxOffice": "54919.4", "SumBoxOffice": "54919.4", "Director": "李柯", "Genre1": "喜剧", "Genre2": "-", "Genre3": "-", "CAST1": "范逸臣", "CAST2": "车永莉", "CAST3": "龚格尔", "CAST4": "谢其均", "CAST5": "杜娟"},
{"Irank": "79", "MovieName": "29+1", "BoxOffice": "50416.6", "SumBoxOffice": "50416.6", "Director": "彭秀慧", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "周秀娜", "CAST2": "郑欣宜", "CAST3": "蔡瀚亿", "CAST4": "杨尚斌", "CAST5": "金燕玲"},
{"Irank": "80", "MovieName": "魔兽", "BoxOffice": "49050.0", "SumBoxOffice": "49050.0", "Director": "邓肯·琼斯", "Genre1": "动作", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "崔维斯·费米尔", "CAST2": "托比·凯贝尔", "CAST3": "宝拉·巴顿", "CAST4": "吴彦祖", "CAST5": "本·福斯特"},
{"Irank": "81", "MovieName": "点五步", "BoxOffice": "48190.0", "SumBoxOffice": "48190.0", "Director": "陈志发", "Genre1": "剧情", "Genre2": "运动", "Genre3": "-", "CAST1": "林耀声", "CAST2": "胡子彤", "CAST3": "廖启智", "CAST4": "谈善言", "CAST5": "岑珈其"},
{"Irank": "83", "MovieName": "盗墓笔记", "BoxOffice": "45790.0", "SumBoxOffice": "45790.0", "Director": "李仁港", "Genre1": "悬疑", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "井柏然", "CAST2": "鹿晗", "CAST3": "马思纯", "CAST4": "王景春", "CAST5": "张博宇"},
{"Irank": "84", "MovieName": "逆路", "BoxOffice": "43975.0", "SumBoxOffice": "43975.0", "Director": "闫学开", "Genre1": "动作", "Genre2": "犯罪", "Genre3": "-", "CAST1": "王威", "CAST2": "火婧楠", "CAST3": "李坤", "CAST4": "凯文·马汀", "CAST5": "潘嘉俊"},
{"Irank": "85", "MovieName": "一条狗的使命", "BoxOffice": "43480.9", "SumBoxOffice": "43480.9", "Director": "拉斯·霍尔斯道姆", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "家庭", "CAST1": "乔什·加德", "CAST2": "布丽特·罗伯森", "CAST3": "丹尼斯·奎德", "CAST4": "佩吉·利普顿", "CAST5": "K·J·阿帕"},
{"Irank": "86", "MovieName": "湄公河行动", "BoxOffice": "43090.0", "SumBoxOffice": "43090.0", "Director": "林超贤", "Genre1": "动作", "Genre2": "犯罪", "Genre3": "-", "CAST1": "张涵予", "CAST2": "彭于晏", "CAST3": "孙淳", "CAST4": "陈宝国", "CAST5": "冯文娟"},
{"Irank": "87", "MovieName": "绑架者", "BoxOffice": "41338.9", "SumBoxOffice": "41338.9", "Director": "徐静蕾", "Genre1": "动作", "Genre2": "犯罪", "Genre3": "-", "CAST1": "白百何", "CAST2": "黄立行", "CAST3": "明道", "CAST4": "李淳", "CAST5": "李玖哲"},
{"Irank": "88", "MovieName": "六月与弓箭", "BoxOffice": "39989.0", "SumBoxOffice": "39989.0", "Director": "林波", "Genre1": "喜剧", "Genre2": "-", "Genre3": "-", "CAST1": "王艺嘉", "CAST2": "杨梓铎", "CAST3": "杜玉明", "CAST4": "吴晓龙", "CAST5": "桑珠泽仁"},
{"Irank": "89", "MovieName": "谢瑶环", "BoxOffice": "39588.0", "SumBoxOffice": "39588.0", "Director": "马崇杰", "Genre1": "戏曲", "Genre2": "-", "Genre3": "-", "CAST1": "丁晓君", "CAST2": "金喜全", "CAST3": "王艳", "CAST4": "窦晓璇", "CAST5": "-"},
{"Irank": "93", "MovieName": "长城", "BoxOffice": "32080.0", "SumBoxOffice": "32080.0", "Director": "张艺谋", "Genre1": "动作", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "马特·达蒙", "CAST2": "景甜", "CAST3": "佩德罗·帕斯卡", "CAST4": "刘德华", "CAST5": "威廉·达福"},
{"Irank": "95", "MovieName": "中国推销员", "BoxOffice": "30780.0", "SumBoxOffice": "30780.0", "Director": "檀冰", "Genre1": "剧情", "Genre2": "动作", "Genre3": "爱情", "CAST1": "李东学", "CAST2": "迈克·泰森", "CAST3": "史蒂文·席格", "CAST4": "李艾", "CAST5": "王自健"},
{"Irank": "96", "MovieName": "X战警:天启", "BoxOffice": "30190.0", "SumBoxOffice": "30190.0", "Director": "布莱恩·辛格", "Genre1": "动作", "Genre2": "科幻", "Genre3": "奇幻", "CAST1": "詹姆斯·麦卡沃伊", "CAST2": "迈克尔·法斯宾德", "CAST3": "詹妮弗·劳伦斯", "CAST4": "尼古拉斯·霍尔特", "CAST5": "奥斯卡·伊萨克"},
{"Irank": "97", "MovieName": "花腰恋歌", "BoxOffice": "29637.0", "SumBoxOffice": "29637.0", "Director": "彭兰玉", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "李哲", "CAST2": "季晨", "CAST3": "-", "CAST4": "-", "CAST5": "-"},
{"Irank": "98", "MovieName": "绝地逃亡", "BoxOffice": "29590.0", "SumBoxOffice": "29590.0", "Director": "雷尼·哈林", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "-", "CAST1": "成龙", "CAST2": "范冰冰", "CAST3": "约翰尼·诺克斯维尔", "CAST4": "曾志伟", "CAST5": "王敏德"},
{"Irank": "99", "MovieName": "一念无明", "BoxOffice": "29226.0", "SumBoxOffice": "29226.0", "Director": "黄进", "Genre1": "剧情", "Genre2": "家庭", "Genre3": "-", "CAST1": "曾志伟", "CAST2": "余文乐", "CAST3": "方皓玟", "CAST4": "金燕玲", "CAST5": "陈学文"},
{"Irank": "100", "MovieName": "奇幻森林", "BoxOffice": "29160.0", "SumBoxOffice": "29160.0", "Director": "乔恩·费儒", "Genre1": "剧情", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "尼尔·塞西", "CAST2": "比尔·默瑞", "CAST3": "本·金斯利", "CAST4": "伊德里斯·艾尔巴", "CAST5": "露皮塔·尼永奥"},
{"Irank": "101", "MovieName": "颠覆", "BoxOffice": "28365.6", "SumBoxOffice": "28365.6", "Director": "张旭洲", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "张新岳", "CAST2": "李建龙", "CAST3": "刘振明", "CAST4": "严建中", "CAST5": "朱剑华"},
{"Irank": "103", "MovieName": "嫌疑人X的献身", "BoxOffice": "27967.3", "SumBoxOffice": "27967.3", "Director": "苏有朋", "Genre1": "剧情", "Genre2": "悬疑", "Genre3": "犯罪", "CAST1": "王凯", "CAST2": "张鲁一", "CAST3": "林心如", "CAST4": "叶祖新", "CAST5": "丁冠森"},
{"Irank": "104", "MovieName": "铁道飞虎", "BoxOffice": "25685.0", "SumBoxOffice": "25685.0", "Director": "丁晟", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "-", "CAST1": "成龙", "CAST2": "黄子韬", "CAST3": "王凯", "CAST4": "王大陆", "CAST5": "徐帆"},
{"Irank": "105", "MovieName": "叶问3", "BoxOffice": "24670.0", "SumBoxOffice": "24670.0", "Director": "叶伟信", "Genre1": "剧情", "Genre2": "动作", "Genre3": "传记", "CAST1": "甄子丹", "CAST2": "迈克·泰森", "CAST3": "张晋", "CAST4": "熊黛林", "CAST5": "谭耀文"},
{"Irank": "106", "MovieName": "惊天魔盗团2", "BoxOffice": "24600.0", "SumBoxOffice": "24600.0", "Director": "朱浩伟", "Genre1": "剧情", "Genre2": "悬疑", "Genre3": "犯罪", "CAST1": "杰西·艾森伯格", "CAST2": "马克·鲁弗洛", "CAST3": "伍迪·哈里森", "CAST4": "戴夫·弗兰科", "CAST5": "丹尼尔·雷德克里夫"},
{"Irank": "107", "MovieName": "星际迷航3:超越星辰", "BoxOffice": "22630.0", "SumBoxOffice": "22630.0", "Director": "林诣彬", "Genre1": "动作", "Genre2": "科幻", "Genre3": "冒险", "CAST1": "克里斯·派恩", "CAST2": "扎克瑞·昆图", "CAST3": "佐伊·索尔达娜", "CAST4": "西蒙·佩吉", "CAST5": "安东·叶利钦"},
{"Irank": "108", "MovieName": "机械师2:复活", "BoxOffice": "22244.0", "SumBoxOffice": "22244.0", "Director": "丹尼斯·甘塞尔", "Genre1": "动作", "Genre2": "犯罪", "Genre3": "-", "CAST1": "杰森·斯坦森", "CAST2": "杰西卡·阿尔芭", "CAST3": "汤米·李·琼斯", "CAST4": "杨紫琼", "CAST5": "山姆·哈兹尔丁"},
{"Irank": "109", "MovieName": "蝙蝠侠大战超人:正义黎明", "BoxOffice": "21430.0", "SumBoxOffice": "21430.0", "Director": "扎克·施奈德", "Genre1": "动作", "Genre2": "科幻", "Genre3": "奇幻", "CAST1": "本·阿弗莱克", "CAST2": "亨利·卡维尔", "CAST3": "艾米·亚当斯", "CAST4": "盖尔·加朵", "CAST5": "杰西·艾森伯格"},
{"Irank": "110", "MovieName": "北京遇上西雅图之不二情书", "BoxOffice": "20650.0", "SumBoxOffice": "20650.0", "Director": "薛晓路", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "汤唯", "CAST2": "吴秀波", "CAST3": "惠英红", "CAST4": "秦沛", "CAST5": "吴彦姝"},
{"Irank": "111", "MovieName": "王牌逗王牌", "BoxOffice": "20625.0", "SumBoxOffice": "20625.0", "Director": "王晶", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "冒险", "CAST1": "刘德华", "CAST2": "黄晓明", "CAST3": "王祖蓝", "CAST4": "胡然", "CAST5": "欧阳娜娜"},
{"Irank": "113", "MovieName": "闯堂兔2疯狂马戏团", "BoxOffice": "19768.9", "SumBoxOffice": "19768.9", "Director": "曾宪林", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "儿童", "CAST1": "小连杀", "CAST2": "叮当", "CAST3": "郝祥海", "CAST4": "王幸", "CAST5": "王祺"},
{"Irank": "114", "MovieName": "我的特工爷爷", "BoxOffice": "18350.0", "SumBoxOffice": "18350.0", "Director": "洪金宝", "Genre1": "剧情", "Genre2": "动作", "Genre3": "冒险", "CAST1": "洪金宝", "CAST2": "刘德华", "CAST3": "朱雨辰", "CAST4": "李勤勤", "CAST5": "冯嘉怡"},
{"Irank": "115", "MovieName": "奇异博士", "BoxOffice": "18140.0", "SumBoxOffice": "18140.0", "Director": "斯科特·德瑞克森", "Genre1": "动作", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "本尼迪克特·康伯巴奇", "CAST2": "蒂尔达·斯文顿", "CAST3": "麦斯·米科尔森", "CAST4": "切瓦特·埃加福特", "CAST5": "瑞秋·麦克亚当斯"},
{"Irank": "116", "MovieName": "我的青春永不逝", "BoxOffice": "17578.0", "SumBoxOffice": "17578.0", "Director": "陶盟喜", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "齐如意", "CAST2": "侯桐江", "CAST3": "王光辉", "CAST4": "吴海棠", "CAST5": "陶日金"},
{"Irank": "117", "MovieName": "远亲", "BoxOffice": "17300.0", "SumBoxOffice": "17300.0", "Director": "余铁", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "王伟", "CAST2": "兰婷", "CAST3": "黄静宜", "CAST4": "-", "CAST5": "-"},
{"Irank": "118", "MovieName": "忍者神龟2:破影而出", "BoxOffice": "16890.0", "SumBoxOffice": "16890.0", "Director": "戴夫·格林", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "科幻", "CAST1": "梅根·福克斯", "CAST2": "斯蒂芬·阿梅尔", "CAST3": "威尔·阿奈特", "CAST4": "皮特·普劳泽克", "CAST5": "阿兰·里奇森"},
{"Irank": "119", "MovieName": "狼图腾", "BoxOffice": "16873.0", "SumBoxOffice": "16873.0", "Director": "让-雅克·阿诺", "Genre1": "剧情", "Genre2": "冒险", "Genre3": "-", "CAST1": "冯绍峰", "CAST2": "窦骁", "CAST3": "昂哈妮玛", "CAST4": "巴森", "CAST5": "尹铸胜"},
{"Irank": "120", "MovieName": "寒战2", "BoxOffice": "16641.0", "SumBoxOffice": "16641.0", "Director": "梁乐民", "Genre1": "剧情", "Genre2": "动作", "Genre3": "犯罪", "CAST1": "郭富城", "CAST2": "梁家辉", "CAST3": "杨采妮", "CAST4": "彭于晏", "CAST5": "李治廷"},
{"Irank": "121", "MovieName": "疯狂动物城", "BoxOffice": "16450.0", "SumBoxOffice": "16450.0", "Director": "拜伦·霍华德", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "冒险", "CAST1": "金妮弗·古德温", "CAST2": "杰森·贝特曼", "CAST3": "伊德里斯·艾尔巴", "CAST4": "珍妮·斯蕾特", "CAST5": "内特·托伦斯"},
{"Irank": "123", "MovieName": "生门", "BoxOffice": "15675.7", "SumBoxOffice": "15675.7", "Director": "陈为军", "Genre1": "纪录片", "Genre2": "-", "Genre3": "-", "CAST1": "李家福", "CAST2": "夏锦菊", "CAST3": "陈小凤", "CAST4": "曾宪春", "CAST5": "-"},
{"Irank": "124", "MovieName": "阿文的承诺", "BoxOffice": "14644.0", "SumBoxOffice": "14644.0", "Director": "程锋", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "李梦男", "CAST2": "董超", "CAST3": "李彦明", "CAST4": "马晓军", "CAST5": "-"},
{"Irank": "126", "MovieName": "小茜当家", "BoxOffice": "13740.0", "SumBoxOffice": "13740.0", "Director": "田玉奎", "Genre1": "剧情", "Genre2": "儿童", "Genre3": "-", "CAST1": "郝怡霖", "CAST2": "朱佳煜", "CAST3": "陈瑾", "CAST4": "林京来", "CAST5": "钟宇然"},
{"Irank": "128", "MovieName": "麦豆的夏天", "BoxOffice": "13211.0", "SumBoxOffice": "13211.0", "Director": "马和平", "Genre1": "儿童", "Genre2": "-", "Genre3": "-", "CAST1": "刘宗健", "CAST2": "王思宁", "CAST3": "赵纪东", "CAST4": "田广硕", "CAST5": "樊明硕"},
{"Irank": "129", "MovieName": "六人晚餐", "BoxOffice": "13084.0", "SumBoxOffice": "13084.0", "Director": "李远", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "窦骁", "CAST2": "张钧甯", "CAST3": "邬君梅", "CAST4": "吴刚", "CAST5": "赵立新"},
{"Irank": "130", "MovieName": "使徒行者", "BoxOffice": "12825.0", "SumBoxOffice": "12825.0", "Director": "文伟鸿", "Genre1": "剧情", "Genre2": "动作", "Genre3": "犯罪", "CAST1": "张家辉", "CAST2": "古天乐", "CAST3": "吴镇宇", "CAST4": "佘诗曼", "CAST5": "许绍雄"},
{"Irank": "132", "MovieName": "神奇动物在哪里", "BoxOffice": "12260.0", "SumBoxOffice": "12260.0", "Director": "大卫·叶茨", "Genre1": "剧情", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "埃迪·雷德梅恩", "CAST2": "凯瑟琳·沃特斯顿", "CAST3": "丹·福勒", "CAST4": "艾莉森·萨多尔", "CAST5": "科林·法瑞尔"},
{"Irank": "133", "MovieName": "大话西游3", "BoxOffice": "11949.0", "SumBoxOffice": "11949.0", "Director": "刘镇伟", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "奇幻", "CAST1": "韩庚", "CAST2": "唐嫣", "CAST3": "吴京", "CAST4": "莫文蔚", "CAST5": "张超"},
{"Irank": "134", "MovieName": "从你的全世界路过", "BoxOffice": "10750.0", "SumBoxOffice": "10750.0", "Director": "张一白", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "邓超", "CAST2": "白百何", "CAST3": "杨洋", "CAST4": "张天爱", "CAST5": "岳云鹏"},
{"Irank": "135", "MovieName": "金刚狼3:殊死一战", "BoxOffice": "10531.6", "SumBoxOffice": "10531.6", "Director": "詹姆斯·曼高德", "Genre1": "剧情", "Genre2": "动作", "Genre3": "科幻", "CAST1": "休·杰克曼", "CAST2": "帕特里克·斯图尔特", "CAST3": "达芙妮·基恩", "CAST4": "波伊德·霍布鲁克", "CAST5": "斯戴芬·莫昌特"},
{"Irank": "137", "MovieName": "捉迷藏", "BoxOffice": "10000.0", "SumBoxOffice": "10000.0", "Director": "刘杰", "Genre1": "悬疑", "Genre2": "惊悚", "Genre3": "犯罪", "CAST1": "霍建华", "CAST2": "秦海璐", "CAST3": "万茜", "CAST4": "春夏", "CAST5": "董子健"},
{"Irank": "138", "MovieName": "赏金猎人", "BoxOffice": "9810.0", "SumBoxOffice": "9810.0", "Director": "申太罗", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "动作", "CAST1": "李敏镐", "CAST2": "钟汉良", "CAST3": "唐嫣", "CAST4": "徐正溪", "CAST5": "吴千语"},
{"Irank": "139", "MovieName": "爵迹", "BoxOffice": "9540.0", "SumBoxOffice": "9540.0", "Director": "郭敬明", "Genre1": "动画", "Genre2": "奇幻", "Genre3": "-", "CAST1": "范冰冰", "CAST2": "吴亦凡", "CAST3": "陈学冬", "CAST4": "陈伟霆", "CAST5": "郭采洁"},
{"Irank": "141", "MovieName": "谍影重重5", "BoxOffice": "9280.0", "SumBoxOffice": "9280.0", "Director": "保罗·格林格拉斯", "Genre1": "动作", "Genre2": "悬疑", "Genre3": "惊悚", "CAST1": "马特·达蒙", "CAST2": "汤米·李·琼斯", "CAST3": "艾丽西亚·维坎德", "CAST4": "文森特·卡索", "CAST5": "朱丽娅·斯蒂尔斯"},
{"Irank": "142", "MovieName": "冰川时代5:星际碰撞", "BoxOffice": "9240.0", "SumBoxOffice": "9240.0", "Director": "麦克·特米尔", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "冒险", "CAST1": "西蒙·佩吉", "CAST2": "洁茜J", "CAST3": "杰西·泰勒·弗格森", "CAST4": "克里斯·韦奇", "CAST5": "詹妮弗·洛佩兹"},
{"Irank": "143", "MovieName": "愤怒的小鸟", "BoxOffice": "9131.0", "SumBoxOffice": "9131.0", "Director": "费格尔·雷利", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "冒险", "CAST1": "杰森·苏戴奇斯", "CAST2": "乔什·加德", "CAST3": "丹尼·麦克布莱德", "CAST4": "玛娅·鲁道夫", "CAST5": "西恩·潘"},
{"Irank": "144", "MovieName": "神秘世界历险记3", "BoxOffice": "9050.0", "SumBoxOffice": "9050.0", "Director": "王云飞", "Genre1": "动画", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "刘校妤", "CAST2": "孟泉霖", "CAST3": "陆揆", "CAST4": "宝木中阳", "CAST5": "郭政建"},
{"Irank": "145", "MovieName": "反贪风暴2", "BoxOffice": "8825.0", "SumBoxOffice": "8825.0", "Director": "林德禄", "Genre1": "剧情", "Genre2": "犯罪", "Genre3": "-", "CAST1": "古天乐", "CAST2": "张智霖", "CAST3": "周渝民", "CAST4": "蔡少芬", "CAST5": "林保怡"},
{"Irank": "146", "MovieName": "封神传奇", "BoxOffice": "8580.0", "SumBoxOffice": "8580.0", "Director": "许安", "Genre1": "剧情", "Genre2": "动作", "Genre3": "奇幻", "CAST1": "李连杰", "CAST2": "范冰冰", "CAST3": "黄晓明", "CAST4": "杨颖", "CAST5": "古天乐"},
{"Irank": "148", "MovieName": "你的名字。", "BoxOffice": "8425.0", "SumBoxOffice": "8425.0", "Director": "新海诚", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "动画", "CAST1": "神木隆之介", "CAST2": "上白石萌音", "CAST3": "长泽雅美", "CAST4": "市原悦子", "CAST5": "成田凌"},
{"Irank": "149", "MovieName": "海底总动员2:多莉去哪儿", "BoxOffice": "8350.0", "SumBoxOffice": "8350.0", "Director": "安德鲁·斯坦顿", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "家庭", "CAST1": "艾伦·德杰尼勒斯", "CAST2": "艾伯特·布鲁克斯", "CAST3": "艾德·奥尼尔", "CAST4": "凯特琳·奥尔森", "CAST5": "海登·罗兰斯"},
{"Irank": "150", "MovieName": "青春逗", "BoxOffice": "8300.0", "SumBoxOffice": "8300.0", "Director": "郑仕明", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "-", "CAST1": "姜潮", "CAST2": "张嘉倪", "CAST3": "金恩圣", "CAST4": "于文文", "CAST5": "马春瑞"},
{"Irank": "151", "MovieName": "神战:权力之眼", "BoxOffice": "8280.0", "SumBoxOffice": "8280.0", "Director": "亚历克斯·普罗亚斯", "Genre1": "动作", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "尼古拉·科斯特-瓦尔道", "CAST2": "布伦顿·思韦茨", "CAST3": "杰拉德·巴特勒", "CAST4": "查德维克·博斯曼", "CAST5": "艾洛蒂·袁"},
{"Irank": "152", "MovieName": "青海湖畔", "BoxOffice": "8200.0", "SumBoxOffice": "8200.0", "Director": "沈星浩", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "秦怡", "CAST2": "江平", "CAST3": "舒畅", "CAST4": "黄宏", "CAST5": "佟瑞欣"},
{"Irank": "153", "MovieName": "伦敦陷落", "BoxOffice": "8040.0", "SumBoxOffice": "8040.0", "Director": "巴巴克·纳加非", "Genre1": "动作", "Genre2": "惊悚", "Genre3": "犯罪", "CAST1": "杰拉德·巴特勒", "CAST2": "艾伦·艾克哈特", "CAST3": "摩根·弗里曼", "CAST4": "阿隆·阿布布尔", "CAST5": "安吉拉·贝塞特"},
{"Irank": "155", "MovieName": "爱丽丝梦游仙境2:镜中奇遇记", "BoxOffice": "7720.0", "SumBoxOffice": "7720.0", "Director": "詹姆斯·博宾", "Genre1": "奇幻", "Genre2": "冒险", "Genre3": "-", "CAST1": "约翰尼·德普", "CAST2": "米娅·华希科沃斯卡", "CAST3": "海伦娜·伯翰·卡特", "CAST4": "安妮·海瑟薇", "CAST5": "萨莎·拜伦·科恩"},
{"Irank": "156", "MovieName": "哆啦A梦:新·大雄的日本诞生", "BoxOffice": "7714.0", "SumBoxOffice": "7714.0", "Director": "八锹新之介", "Genre1": "动画", "Genre2": "-", "Genre3": "-", "CAST1": "水田山葵", "CAST2": "大原惠美", "CAST3": "嘉数由美", "CAST4": "木村昴", "CAST5": "关智一"},
{"Irank": "157", "MovieName": "恋恋有声", "BoxOffice": "7228.0", "SumBoxOffice": "7228.0", "Director": "刘金燕", "Genre1": "爱情", "Genre2": "-", "Genre3": "-", "CAST1": "左立", "CAST2": "顾靖", "CAST3": "杨菲洋", "CAST4": "王博文", "CAST5": "-"},
{"Irank": "158", "MovieName": "大鱼海棠", "BoxOffice": "7062.7", "SumBoxOffice": "7062.7", "Director": "梁旋", "Genre1": "剧情", "Genre2": "动画", "Genre3": "奇幻", "CAST1": "季冠霖", "CAST2": "苏尚卿", "CAST3": "许魏洲", "CAST4": "金士杰", "CAST5": "杨婷"},
{"Irank": "159", "MovieName": "新大头儿子和小头爸爸2一日成才", "BoxOffice": "7019.0", "SumBoxOffice": "7019.0", "Director": "何澄", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "家庭", "CAST1": "刘纯燕", "CAST2": "董浩", "CAST3": "鞠萍", "CAST4": "林永健", "CAST5": "林大竣"},
{"Irank": "160", "MovieName": "猎神:冬日之战", "BoxOffice": "6840.0", "SumBoxOffice": "6840.0", "Director": "塞德里克·萨科", "Genre1": "动作", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "克里斯·海姆斯沃斯", "CAST2": "查理兹·塞隆", "CAST3": "艾米莉·布朗特", "CAST4": "杰西卡·查斯坦", "CAST5": "尼克·弗罗斯特"},
{"Irank": "161", "MovieName": "危城", "BoxOffice": "6575.0", "SumBoxOffice": "6575.0", "Director": "陈木胜", "Genre1": "剧情", "Genre2": "动作", "Genre3": "犯罪", "CAST1": "刘青云", "CAST2": "古天乐", "CAST3": "彭于晏", "CAST4": "吴京", "CAST5": "袁泉"},
{"Irank": "162", "MovieName": "战狼", "BoxOffice": "6546.35", "SumBoxOffice": "6546.35", "Director": "吴京", "Genre1": "动作", "Genre2": "战争", "Genre3": "-", "CAST1": "吴京", "CAST2": "余男", "CAST3": "斯科特·阿金斯", "CAST4": "凯文·李", "CAST5": "倪大红"},
{"Irank": "164", "MovieName": "超能龙骑侠", "BoxOffice": "5926.0", "SumBoxOffice": "5926.0", "Director": "刘可欣", "Genre1": "动画", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "山新", "CAST2": "乔诗语", "CAST3": "李珊珊", "CAST4": "胡越", "CAST5": "叮当"},
{"Irank": "166", "MovieName": "超级幼儿园", "BoxOffice": "5832.0", "SumBoxOffice": "5832.0", "Director": "蒋叶峰", "Genre1": "动画", "Genre2": "-", "Genre3": "-", "CAST1": "丁妍", "CAST2": "王雪沁", "CAST3": "王辛", "CAST4": "孙科", "CAST5": "叶方"},
{"Irank": "167", "MovieName": "小满的故事之青涩年华", "BoxOffice": "5059.4", "SumBoxOffice": "5059.4", "Director": "三刚", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "爱情", "CAST1": "陈绍文", "CAST2": "何佳颜", "CAST3": "齐天", "CAST4": "刘历", "CAST5": "-"},
{"Irank": "169", "MovieName": "镇巴女子", "BoxOffice": "4997.8", "SumBoxOffice": "4997.8", "Director": "方义华", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "贾雨萌", "CAST2": "童振军", "CAST3": "郭佳", "CAST4": "王振森", "CAST5": "朱薇薇"},
{"Irank": "170", "MovieName": "玛格丽特的春天", "BoxOffice": "4980.0", "SumBoxOffice": "4980.0", "Director": "王宁", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "艾伦", "CAST2": "王自健", "CAST3": "田亮", "CAST4": "胡杏儿", "CAST5": "赵文琪"},
{"Irank": "172", "MovieName": "有完没完", "BoxOffice": "4635.4", "SumBoxOffice": "4635.4", "Director": "王啸坤", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "-", "CAST1": "范伟", "CAST2": "贾静雯", "CAST3": "刘俊昊", "CAST4": "隋凯", "CAST5": "宋阳"},
{"Irank": "173", "MovieName": "建军大业", "BoxOffice": "4515.0", "SumBoxOffice": "4515.0", "Director": "刘伟强", "Genre1": "剧情", "Genre2": "历史", "Genre3": "-", "CAST1": "刘烨", "CAST2": "朱亚文", "CAST3": "黄志忠", "CAST4": "王景春", "CAST5": "欧豪"},
{"Irank": "174", "MovieName": "爱情冻住了", "BoxOffice": "4264.0", "SumBoxOffice": "4264.0", "Director": "傅天余", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "林依晨", "CAST2": "凤小岳", "CAST3": "程予希", "CAST4": "詹怀云", "CAST5": "金燕玲"},
{"Irank": "175", "MovieName": "喜羊羊与灰太狼之羊年喜羊羊", "BoxOffice": "4255.0", "SumBoxOffice": "4255.0", "Director": "黄伟明", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "家庭", "CAST1": "祖晴", "CAST2": "张琳", "CAST3": "杨阳洋", "CAST4": "高全胜", "CAST5": "梁颖"},
{"Irank": "178", "MovieName": "惊悚小说", "BoxOffice": "4069.0", "SumBoxOffice": "4069.0", "Director": "白丽丽", "Genre1": "恐怖", "Genre2": "-", "Genre3": "-", "CAST1": "吕聿来", "CAST2": "-", "CAST3": "-", "CAST4": "-", "CAST5": "-"},
{"Irank": "182", "MovieName": "海角有个五店市", "BoxOffice": "3591.0", "SumBoxOffice": "3591.0", "Director": "张柏瑞", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "王德顺", "CAST2": "李纯", "CAST3": "班杰", "CAST4": "胡小玲", "CAST5": "-"},
{"Irank": "186", "MovieName": "恐怖笔记", "BoxOffice": "3086.0", "SumBoxOffice": "3086.0", "Director": "闵晋涛", "Genre1": "悬疑", "Genre2": "恐怖", "Genre3": "-", "CAST1": "赵泳鑫", "CAST2": "檀健次", "CAST3": "冯家妹", "CAST4": "潘春春", "CAST5": "-"},
{"Irank": "187", "MovieName": "八月", "BoxOffice": "2951.7", "SumBoxOffice": "2951.7", "Director": "张大磊", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "孔维一", "CAST2": "张晨", "CAST3": "郭燕芸", "CAST4": "-", "CAST5": "-"},
{"Irank": "188", "MovieName": "阿里巴巴2所罗门封印", "BoxOffice": "2900.0", "SumBoxOffice": "2900.0", "Director": "郑成峰", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "冒险", "CAST1": "丁妍", "CAST2": "叶方", "CAST3": "杨进", "CAST4": "孙科", "CAST5": "张洋"},
{"Irank": "189", "MovieName": "精灵王座", "BoxOffice": "2841.0", "SumBoxOffice": "2841.0", "Director": "宋岳峰", "Genre1": "动画", "Genre2": "-", "Genre3": "-", "CAST1": "王梓", "CAST2": "陶典", "CAST3": "季冠霖", "CAST4": "黄莺", "CAST5": "-"},
{"Irank": "191", "MovieName": "杀破狼2", "BoxOffice": "2432.0", "SumBoxOffice": "2432.0", "Director": "郑保瑞", "Genre1": "剧情", "Genre2": "动作", "Genre3": "犯罪", "CAST1": "吴京", "CAST2": "托尼·贾", "CAST3": "张晋", "CAST4": "任达华", "CAST5": "卢惠光"},
{"Irank": "192", "MovieName": "小魔仙之黑魔法来袭", "BoxOffice": "2400.0", "SumBoxOffice": "2400.0", "Director": "方晓罡", "Genre1": "剧情", "Genre2": "儿童", "Genre3": "奇幻", "CAST1": "吴恙", "CAST2": "陈旭", "CAST3": "张超", "CAST4": "-", "CAST5": "-"},
{"Irank": "196", "MovieName": "玩命试爱", "BoxOffice": "2200.7", "SumBoxOffice": "2200.7", "Director": "吴品儒", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "安志杰", "CAST2": "周韦彤", "CAST3": "郑则仕", "CAST4": "苑琼丹", "CAST5": "李现"},
{"Irank": "198", "MovieName": "我的诗篇", "BoxOffice": "1960.0", "SumBoxOffice": "1960.0", "Director": "吴飞跃", "Genre1": "纪录片", "Genre2": "-", "Genre3": "-", "CAST1": "陈年喜", "CAST2": "邬霞", "CAST3": "乌鸟鸟", "CAST4": "老井", "CAST5": "吉克阿优"},
{"Irank": "199", "MovieName": "天才捕手", "BoxOffice": "1925.8", "SumBoxOffice": "1925.8", "Director": "迈克尔·格兰达吉", "Genre1": "剧情", "Genre2": "传记", "Genre3": "-", "CAST1": "科林·费尔斯", "CAST2": "裘德·洛", "CAST3": "妮可·基德曼", "CAST4": "劳拉·琳妮", "CAST5": "盖·皮尔斯"},
{"Irank": "200", "MovieName": "诡新娘", "BoxOffice": "1800.0", "SumBoxOffice": "1800.0", "Director": "王健", "Genre1": "悬疑", "Genre2": "恐怖", "Genre3": "-", "CAST1": "苏菲", "CAST2": "刘骐", "CAST3": "杨济妤", "CAST4": "陈国良", "CAST5": "温春荣"},
{"Irank": "202", "MovieName": "逗逗迪迪之美梦年年", "BoxOffice": "1624.0", "SumBoxOffice": "1624.0", "Director": "王龙波", "Genre1": "动画", "Genre2": "-", "Genre3": "-", "CAST1": "林美秀", "CAST2": "曾允凡", "CAST3": "孙国卿", "CAST4": "钱欣郁", "CAST5": "王华怡"},
{"Irank": "203", "MovieName": "冰雪大作战", "BoxOffice": "1554.0", "SumBoxOffice": "1554.0", "Director": "让-弗朗索瓦·波略特", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "家庭", "CAST1": "安吉拉·嘉鲁皮", "CAST2": "玛丽欧·沃尔夫", "CAST3": "露辛达·戴维斯", "CAST4": "尼可拉斯·萨维德·鲁比尔", "CAST5": "苏菲·卡迪欧"},
{"Irank": "206", "MovieName": "夏洛特烦恼", "BoxOffice": "1492.09", "SumBoxOffice": "1492.09", "Director": "闫非", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "沈腾", "CAST2": "马丽", "CAST3": "尹正", "CAST4": "艾伦", "CAST5": "王智"},
{"Irank": "207", "MovieName": "捉妖记", "BoxOffice": "1490.0", "SumBoxOffice": "1490.0", "Director": "许诚毅", "Genre1": "喜剧", "Genre2": "奇幻", "Genre3": "古装", "CAST1": "白百何", "CAST2": "井柏然", "CAST3": "姜武", "CAST4": "金燕玲", "CAST5": "钟汉良"},
{"Irank": "208", "MovieName": "魔镜奇缘", "BoxOffice": "1430.6", "SumBoxOffice": "1430.6", "Director": "郑成峰", "Genre1": "动画", "Genre2": "家庭", "Genre3": "奇幻", "CAST1": "琪琪", "CAST2": "王琪", "CAST3": "孙科", "CAST4": "叶方", "CAST5": "仰洋"},
{"Irank": "209", "MovieName": "毛丰美", "BoxOffice": "1350.0", "SumBoxOffice": "1350.0", "Director": "宁敬武", "Genre1": "剧情", "Genre2": "传记", "Genre3": "-", "CAST1": "宋佳伦", "CAST2": "梁林琳", "CAST3": "-", "CAST4": "-", "CAST5": "-"},
{"Irank": "211", "MovieName": "路边野餐", "BoxOffice": "1321.0", "SumBoxOffice": "1321.0", "Director": "毕赣", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "陈永忠", "CAST2": "谢理循", "CAST3": "余世学", "CAST4": "郭月", "CAST5": "赵达清"},
{"Irank": "213", "MovieName": "谁的青春不热血之深流不息", "BoxOffice": "1227.0", "SumBoxOffice": "1227.0", "Director": "何瑞博", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "罗蓝山", "CAST2": "王昊辰", "CAST3": "皮逸嘉", "CAST4": "杨强", "CAST5": "苑海朋"},
{"Irank": "215", "MovieName": "布基兰", "BoxOffice": "1148.0", "SumBoxOffice": "1148.0", "Director": "安兴伟", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "王宇", "CAST2": "刘兴盛", "CAST3": "娜仁其木格", "CAST4": "乌兰其其格", "CAST5": "丁建钧"},
{"Irank": "219", "MovieName": "唐人街探案", "BoxOffice": "1049.0", "SumBoxOffice": "1049.0", "Director": "陈思诚", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "悬疑", "CAST1": "王宝强", "CAST2": "刘昊然", "CAST3": "佟丽娅", "CAST4": "陈赫", "CAST5": "肖央"},
{"Irank": "220", "MovieName": "非凡任务", "BoxOffice": "1044.0", "SumBoxOffice": "1044.0", "Director": "麦兆辉", "Genre1": "剧情", "Genre2": "动作", "Genre3": "犯罪", "CAST1": "黄轩", "CAST2": "段奕宏", "CAST3": "郎月婷", "CAST4": "祖锋", "CAST5": "邢佳栋"},
{"Irank": "221", "MovieName": "沙漠之心", "BoxOffice": "1000.0", "SumBoxOffice": "1000.0", "Director": "李柯", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "冒险", "CAST1": "隋咏良", "CAST2": "尤靖茹", "CAST3": "薛祺", "CAST4": "李雷", "CAST5": "-"},
{"Irank": "223", "MovieName": "摩尔庄园3:魔幻列车大冒险", "BoxOffice": "991.0", "SumBoxOffice": "991.0", "Director": "李婷婷", "Genre1": "动画", "Genre2": "家庭", "Genre3": "冒险", "CAST1": "杨鸥", "CAST2": "夏磊", "CAST3": "谢添天", "CAST4": "冯骏骅", "CAST5": "醋醋"},
{"Irank": "224", "MovieName": "美人鱼之海盗来袭", "BoxOffice": "961.3", "SumBoxOffice": "961.3", "Director": "邱浩强", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "奇幻", "CAST1": "李思娴", "CAST2": "郭亚维", "CAST3": "宋磊", "CAST4": "申克", "CAST5": "-"},
{"Irank": "226", "MovieName": "哆啦A梦:伴我同行", "BoxOffice": "869.0", "SumBoxOffice": "869.0", "Director": "八木龙一", "Genre1": "剧情", "Genre2": "动画", "Genre3": "-", "CAST1": "水田山葵", "CAST2": "大原惠美", "CAST3": "嘉数由美", "CAST4": "木村昴", "CAST5": "关智一"},
{"Irank": "229", "MovieName": "爸爸的假期", "BoxOffice": "771.0", "SumBoxOffice": "771.0", "Director": "王岳伦", "Genre1": "喜剧", "Genre2": "家庭", "Genre3": "-", "CAST1": "郭涛", "CAST2": "林志颖", "CAST3": "张亮", "CAST4": "王岳伦", "CAST5": "田亮"},
{"Irank": "234", "MovieName": "恶棍天使", "BoxOffice": "666.0", "SumBoxOffice": "666.0", "Director": "俞白眉", "Genre1": "喜剧", "Genre2": "-", "Genre3": "-", "CAST1": "邓超", "CAST2": "孙俪", "CAST3": "代乐乐", "CAST4": "梁超", "CAST5": "杨新鸣"},
{"Irank": "235", "MovieName": "怨灵宿舍之白纸女生", "BoxOffice": "663.0", "SumBoxOffice": "663.0", "Director": "陆诗雷", "Genre1": "惊悚", "Genre2": "-", "Genre3": "-", "CAST1": "谢容儿", "CAST2": "薇拉贝儿", "CAST3": "姚雨鑫", "CAST4": "曲馨雅", "CAST5": "姜星丘"},
{"Irank": "239", "MovieName": "超能太阳鸭", "BoxOffice": "600.0", "SumBoxOffice": "600.0", "Director": "维克多·拉基索夫", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "动画", "CAST1": "迈克尔·格罗斯", "CAST2": "杰西·科尔蒂", "CAST3": "马克·戴卡洛", "CAST4": "恩·赖特尔", "CAST5": "罗比·戴蒙德"},
{"Irank": "244", "MovieName": "莫斯科离大同不远", "BoxOffice": "560.0", "SumBoxOffice": "560.0", "Director": "倾海", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "-", "CAST1": "高山", "CAST2": "伊莉莎", "CAST3": "杨博文", "CAST4": "祁曼霏", "CAST5": "-"},
{"Irank": "245", "MovieName": "悬战", "BoxOffice": "540.0", "SumBoxOffice": "540.0", "Director": "李凯", "Genre1": "动作", "Genre2": "悬疑", "Genre3": "犯罪", "CAST1": "焦恩俊", "CAST2": "连凯", "CAST3": "林津锋", "CAST4": "韩秋池", "CAST5": "戚云鹏"},
{"Irank": "247", "MovieName": "最萌身高差", "BoxOffice": "500.0", "SumBoxOffice": "500.0", "Director": "马侃", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "高以翔", "CAST2": "王水林", "CAST3": "秦晓飞", "CAST4": "王棠云", "CAST5": "李元元"},
{"Irank": "248", "MovieName": "天亮之前", "BoxOffice": "500.0", "SumBoxOffice": "500.0", "Director": "吴中天", "Genre1": "爱情", "Genre2": "-", "Genre3": "-", "CAST1": "郭富城", "CAST2": "杨子姗", "CAST3": "郝蕾", "CAST4": "安志杰", "CAST5": "高捷"},
{"Irank": "249", "MovieName": "过年好", "BoxOffice": "500.0", "SumBoxOffice": "500.0", "Director": "高群书", "Genre1": "喜剧", "Genre2": "-", "Genre3": "-", "CAST1": "赵本山", "CAST2": "闫妮", "CAST3": "热依扎", "CAST4": "炎亚纶", "CAST5": "潘斌龙"},
{"Irank": "251", "MovieName": "爸爸的3次婚礼", "BoxOffice": "500.0", "SumBoxOffice": "500.0", "Director": "马楚成", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "家庭", "CAST1": "董洁", "CAST2": "张亮", "CAST3": "孙茜", "CAST4": "隋凯", "CAST5": "张悦轩"},
{"Irank": "252", "MovieName": "大唐玄奘", "BoxOffice": "500.0", "SumBoxOffice": "500.0", "Director": "霍建起", "Genre1": "历史", "Genre2": "-", "Genre3": "-", "CAST1": "黄晓明", "CAST2": "徐峥", "CAST3": "蒲巴甲", "CAST4": "罗晋", "CAST5": "汤镇业"},
{"Irank": "253", "MovieName": "轩辕大帝", "BoxOffice": "500.0", "SumBoxOffice": "500.0", "Director": "李晓军", "Genre1": "剧情", "Genre2": "历史", "Genre3": "古装", "CAST1": "于波", "CAST2": "周韦彤", "CAST3": "班嘉佳", "CAST4": "王德顺", "CAST5": "苏登扎木苏"},
{"Irank": "254", "MovieName": "夺路而逃", "BoxOffice": "500.0", "SumBoxOffice": "500.0", "Director": "吴林", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "-", "CAST1": "张一山", "CAST2": "何云伟", "CAST3": "李菁", "CAST4": "朴河宣", "CAST5": "-"},
{"Irank": "255", "MovieName": "长江图", "BoxOffice": "500.0", "SumBoxOffice": "500.0", "Director": "杨超", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "秦昊", "CAST2": "辛芷蕾", "CAST3": "邬立朋", "CAST4": "江化霖", "CAST5": "谭凯"},
{"Irank": "256", "MovieName": "笔仙撞碟仙", "BoxOffice": "500.0", "SumBoxOffice": "500.0", "Director": "摩撒利", "Genre1": "惊悚", "Genre2": "恐怖", "Genre3": "-", "CAST1": "姜星丘", "CAST2": "申彩儿", "CAST3": "刘小奇", "CAST4": "闫薇儿", "CAST5": "丁一"},
{"Irank": "258", "MovieName": "爱情麻辣烫之情定终身", "BoxOffice": "500.0", "SumBoxOffice": "500.0", "Director": "肖飞", "Genre1": "爱情", "Genre2": "-", "Genre3": "-", "CAST1": "何润东", "CAST2": "秦昊", "CAST3": "周一围", "CAST4": "张梓琳", "CAST5": "田沅"},
{"Irank": "259", "MovieName": "我不是王毛", "BoxOffice": "500.0", "SumBoxOffice": "500.0", "Director": "赵小溪", "Genre1": "喜剧", "Genre2": "战争", "Genre3": "-", "CAST1": "王大治", "CAST2": "郭金杰", "CAST3": "葛晓凤", "CAST4": "苏丽", "CAST5": "罗京民"},
{"Irank": "260", "MovieName": "冒牌卧底", "BoxOffice": "500.0", "SumBoxOffice": "500.0", "Director": "唐旭", "Genre1": "喜剧", "Genre2": "犯罪", "Genre3": "冒险", "CAST1": "潘粤明", "CAST2": "高圣远", "CAST3": "常远", "CAST4": "吴樾", "CAST5": "谭凯"},
{"Irank": "261", "MovieName": "那件疯狂的小事叫爱情", "BoxOffice": "500.0", "SumBoxOffice": "500.0", "Director": "邹佡", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "陈伟霆", "CAST2": "唐艺昕", "CAST3": "郑秀妍", "CAST4": "谢霆锋", "CAST5": "钟欣潼"},
{"Irank": "262", "MovieName": "那些女人", "BoxOffice": "500.0", "SumBoxOffice": "500.0", "Director": "吴贻弓", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "何赛飞", "CAST2": "胡可", "CAST3": "殷桃", "CAST4": "白冰", "CAST5": "谢林彤"},
{"Irank": "266", "MovieName": "左耳", "BoxOffice": "368.0", "SumBoxOffice": "368.0", "Director": "苏有朋", "Genre1": "爱情", "Genre2": "-", "Genre3": "-", "CAST1": "陈都灵", "CAST2": "欧豪", "CAST3": "马思纯", "CAST4": "杨洋", "CAST5": "段博文"},
{"Irank": "270", "MovieName": "夜孔雀", "BoxOffice": "300.0", "SumBoxOffice": "300.0", "Director": "戴思杰", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "刘亦菲", "CAST2": "刘烨", "CAST3": "余少群", "CAST4": "黎明", "CAST5": "-"},
{"Irank": "271", "MovieName": "蛋计划", "BoxOffice": "300.0", "SumBoxOffice": "300.0", "Director": "李扬武", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "儿童", "CAST1": "胡婷", "CAST2": "周微", "CAST3": "孟雨田", "CAST4": "刘莉", "CAST5": "李芬"},
{"Irank": "272", "MovieName": "青蛙总动员", "BoxOffice": "267.0", "SumBoxOffice": "267.0", "Director": "杨仁贤", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "冒险", "CAST1": "吉静", "CAST2": "郭政建", "CAST3": "白涛", "CAST4": "王秋明", "CAST5": "谷峰"},
{"Irank": "273", "MovieName": "寻龙诀", "BoxOffice": "266.0", "SumBoxOffice": "266.0", "Director": "乌尔善", "Genre1": "剧情", "Genre2": "动作", "Genre3": "奇幻", "CAST1": "陈坤", "CAST2": "黄渤", "CAST3": "舒淇", "CAST4": "杨颖", "CAST5": "夏雨"},
{"Irank": "274", "MovieName": "泰迪熊之玩具大战", "BoxOffice": "265.8", "SumBoxOffice": "265.8", "Director": "胡韵", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "-", "CAST1": "邓小婷", "CAST2": "赵奔", "CAST3": "白文显", "CAST4": "孙亚军", "CAST5": "-"},
{"Irank": "276", "MovieName": "阿里巴巴大盗奇兵", "BoxOffice": "248.0", "SumBoxOffice": "248.0", "Director": "郑成峰", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "冒险", "CAST1": "叶芳", "CAST2": "丁妍", "CAST3": "张洋", "CAST4": "吴瑞", "CAST5": "仰洋"},
{"Irank": "280", "MovieName": "梦幻佳期", "BoxOffice": "199.0", "SumBoxOffice": "199.0", "Director": "王凯阳", "Genre1": "爱情", "Genre2": "-", "Genre3": "-", "CAST1": "闵春晓", "CAST2": "张亚希", "CAST3": "孙菂", "CAST4": "李易霖", "CAST5": "方从伊"},
{"Irank": "281", "MovieName": "霸王别姬(京剧)", "BoxOffice": "198.0", "SumBoxOffice": "198.0", "Director": "滕俊杰", "Genre1": "戏曲", "Genre2": "-", "Genre3": "-", "CAST1": "尚长荣", "CAST2": "史依弘", "CAST3": "杨东虎", "CAST4": "蓝天", "CAST5": "李军"},
{"Irank": "282", "MovieName": "冲上云霄", "BoxOffice": "188.0", "SumBoxOffice": "188.0", "Director": "叶伟信", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "古天乐", "CAST2": "郑秀文", "CAST3": "吴镇宇", "CAST4": "张智霖", "CAST5": "佘诗曼"},
{"Irank": "286", "MovieName": "重返20岁", "BoxOffice": "164.0", "SumBoxOffice": "164.0", "Director": "陈正道", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "奇幻", "CAST1": "杨子姗", "CAST2": "归亚蕾", "CAST3": "陈柏霖", "CAST4": "鹿晗", "CAST5": "王德顺"},
{"Irank": "287", "MovieName": "爸爸去哪儿2", "BoxOffice": "163.0", "SumBoxOffice": "163.0", "Director": "谢涤葵", "Genre1": "喜剧", "Genre2": "家庭", "Genre3": "儿童", "CAST1": "黄磊", "CAST2": "黄忆慈", "CAST3": "陆毅", "CAST4": "陆雨萱", "CAST5": "曹格"},
{"Irank": "289", "MovieName": "烈日灼心", "BoxOffice": "155.0", "SumBoxOffice": "155.0", "Director": "曹保平", "Genre1": "剧情", "Genre2": "悬疑", "Genre3": "犯罪", "CAST1": "邓超", "CAST2": "段奕宏", "CAST3": "郭涛", "CAST4": "王珞丹", "CAST5": "吕颂贤"},
{"Irank": "290", "MovieName": "最终幻想15:王者之剑", "BoxOffice": "153.0", "SumBoxOffice": "153.0", "Director": "野末武志", "Genre1": "剧情", "Genre2": "科幻", "Genre3": "动画", "CAST1": "亚伦·保尔", "CAST2": "肖恩·宾", "CAST3": "琳娜·海蒂", "CAST4": "戴维·甘特", "CAST5": "达林·德·保罗"},
{"Irank": "293", "MovieName": "故乡面·参花情", "BoxOffice": "129.0", "SumBoxOffice": "129.0", "Director": "胡平", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "爱情", "CAST1": "代晓菲", "CAST2": "孙雅", "CAST3": "方辉", "CAST4": "-", "CAST5": "-"},
{"Irank": "295", "MovieName": "逆时营救", "BoxOffice": "120.0", "SumBoxOffice": "120.0", "Director": "尹鸿承", "Genre1": "动作", "Genre2": "科幻", "Genre3": "-", "CAST1": "杨幂", "CAST2": "霍建华", "CAST3": "金士杰", "CAST4": "刘畅", "CAST5": "张艺瀚"},
{"Irank": "301", "MovieName": "功夫四侠", "BoxOffice": "100.0", "SumBoxOffice": "100.0", "Director": "刘邦邦", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "儿童", "CAST1": "徐康", "CAST2": "朱蓉蓉", "CAST3": "-", "CAST4": "-", "CAST5": "-"},
{"Irank": "302", "MovieName": "滚蛋吧!肿瘤君", "BoxOffice": "98.0", "SumBoxOffice": "98.0", "Director": "韩延", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "白百何", "CAST2": "吴彦祖", "CAST3": "李媛", "CAST4": "刘芮麟", "CAST5": "程伊"},
{"Irank": "307", "MovieName": "嘻哈英熊", "BoxOffice": "75.0", "SumBoxOffice": "75.0", "Director": "王琦", "Genre1": "动画", "Genre2": "冒险", "Genre3": "-", "CAST1": "林强", "CAST2": "刘康", "CAST3": "徐梦娟", "CAST4": "梁晓强", "CAST5": "郭政建"},
{"Irank": "311", "MovieName": "萧何月下追韩信(京剧)", "BoxOffice": "60.0", "SumBoxOffice": "60.0", "Director": "朱伟刚", "Genre1": "戏曲", "Genre2": "-", "Genre3": "-", "CAST1": "陈少云", "CAST2": "傅希如", "CAST3": "何澍", "CAST4": "严庆谷", "CAST5": "金喜全"},
{"Irank": "313", "MovieName": "黑猫警长之翡翠之星", "BoxOffice": "50.0", "SumBoxOffice": "50.0", "Director": "于胜军", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "科幻", "CAST1": "赵路", "CAST2": "吴天昊", "CAST3": "林子杰", "CAST4": "刘莹", "CAST5": "程玉珠"},
{"Irank": "315", "MovieName": "赵氏孤儿", "BoxOffice": "40.1", "SumBoxOffice": "40.1", "Director": "马崇杰", "Genre1": "戏曲", "Genre2": "-", "Genre3": "-", "CAST1": "朱强", "CAST2": "谭孝曾", "CAST3": "王蓉蓉", "CAST4": "孟广禄", "CAST5": "舒桐"},
{"Irank": "319", "MovieName": "一路惊喜", "BoxOffice": "32.0", "SumBoxOffice": "32.0", "Director": "金依萌", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "家庭", "CAST1": "郭采洁", "CAST2": "萧敬腾", "CAST3": "赵丽颖", "CAST4": "凤小岳", "CAST5": "夏雨"},
{"Irank": "324", "MovieName": "煎饼侠", "BoxOffice": "28.07", "SumBoxOffice": "28.07", "Director": "大鹏", "Genre1": "喜剧", "Genre2": "-", "Genre3": "-", "CAST1": "大鹏", "CAST2": "袁姗姗", "CAST3": "柳岩", "CAST4": "吴君如", "CAST5": "曾志伟"},
{"Irank": "325", "MovieName": "奔跑吧!兄弟", "BoxOffice": "28.03", "SumBoxOffice": "28.03", "Director": "胡笳", "Genre1": "喜剧", "Genre2": "-", "Genre3": "-", "CAST1": "杨颖", "CAST2": "王宝强", "CAST3": "李晨", "CAST4": "陈赫", "CAST5": "郑恺"},
{"Irank": "329", "MovieName": "我的少女时代", "BoxOffice": "23.0", "SumBoxOffice": "23.0", "Director": "陈玉珊", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "宋芸桦", "CAST2": "王大陆", "CAST3": "李玉玺", "CAST4": "简廷芮", "CAST5": "刘德华"},
{"Irank": "331", "MovieName": "果宝特攻之水果大逃亡", "BoxOffice": "16.41", "SumBoxOffice": "16.41", "Director": "王巍", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "冒险", "CAST1": "赖虹宇", "CAST2": "祖晴", "CAST3": "鞠月斌", "CAST4": "申克", "CAST5": "王巍"},
{"Irank": "350", "MovieName": "屠魔战士", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "斯图尔特·贝亚蒂耶", "Genre1": "动作", "Genre2": "科幻", "Genre3": "惊悚", "CAST1": "艾伦·艾克哈特", "CAST2": "伊冯娜·斯特拉霍夫斯基", "CAST3": "米兰达·奥图", "CAST4": "比尔·奈伊", "CAST5": "杰·科特尼"},
{"Irank": "351", "MovieName": "我是谁2015", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "宋胤熹", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "-", "CAST1": "王海祥", "CAST2": "姚星彤", "CAST3": "张蓝心", "CAST4": "于荣光", "CAST5": "卢惠光"},
{"Irank": "355", "MovieName": "分歧者3:忠诚世界", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "罗伯特·斯文克", "Genre1": "动作", "Genre2": "科幻", "Genre3": "冒险", "CAST1": "谢琳·伍德蕾", "CAST2": "提奥·詹姆斯", "CAST3": "杰夫·丹尼尔斯", "CAST4": "奥克塔维亚·斯宾瑟", "CAST5": "雷·史蒂文森"},
{"Irank": "356", "MovieName": "谁的青春不迷茫", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "姚婷婷", "Genre1": "爱情", "Genre2": "-", "Genre3": "-", "CAST1": "白敬亭", "CAST2": "郭姝彤", "CAST3": "李宏毅", "CAST4": "王鹤润", "CAST5": "丁冠森"},
{"Irank": "361", "MovieName": "疯狂外星人", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "蒂姆·约翰逊", "Genre1": "喜剧", "Genre2": "科幻", "Genre3": "动画", "CAST1": "吉姆·帕森斯", "CAST2": "蕾哈娜", "CAST3": "史蒂夫·马丁", "CAST4": "詹妮弗·洛佩兹", "CAST5": "马特·琼斯"},
{"Irank": "362", "MovieName": "复仇者联盟2:奥创纪元", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "乔斯·韦登", "Genre1": "动作", "Genre2": "科幻", "Genre3": "奇幻", "CAST1": "小罗伯特·唐尼", "CAST2": "克里斯·海姆斯沃斯", "CAST3": "马克·鲁弗洛", "CAST4": "克里斯·埃文斯", "CAST5": "斯嘉丽·约翰逊"},
{"Irank": "363", "MovieName": "异种", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "过华", "Genre1": "悬疑", "Genre2": "惊悚", "Genre3": "恐怖", "CAST1": "刘青", "CAST2": "周浩东", "CAST3": "吴妍妍", "CAST4": "赵千紫", "CAST5": "于子健"},
{"Irank": "364", "MovieName": "侏罗纪世界", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "科林·特雷沃罗", "Genre1": "动作", "Genre2": "科幻", "Genre3": "冒险", "CAST1": "克里斯·帕拉特", "CAST2": "布莱丝·达拉斯·霍华德", "CAST3": "文森特·多诺费奥", "CAST4": "泰·辛普金斯", "CAST5": "尼克·罗宾森"},
{"Irank": "365", "MovieName": "老炮儿", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "管虎", "Genre1": "剧情", "Genre2": "犯罪", "Genre3": "-", "CAST1": "冯小刚", "CAST2": "许晴", "CAST3": "张涵予", "CAST4": "刘桦", "CAST5": "李易峰"},
{"Irank": "366", "MovieName": "陪安东尼度过漫长岁月", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "秦小珍", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "刘畅", "CAST2": "白百何", "CAST3": "唐艺昕", "CAST4": "白举纲", "CAST5": "金世佳"},
{"Irank": "367", "MovieName": "我是证人", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "安相勋", "Genre1": "剧情", "Genre2": "悬疑", "Genre3": "犯罪", "CAST1": "杨幂", "CAST2": "鹿晗", "CAST3": "王景春", "CAST4": "朱亚文", "CAST5": "刘芮麟"},
{"Irank": "368", "MovieName": "我的青春期", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "郝杰", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "包贝尔", "CAST2": "孙怡", "CAST3": "冯四", "CAST4": "杜焕荣", "CAST5": "兰江"},
{"Irank": "369", "MovieName": "浪漫搭档", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "刘夏同", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "爱情", "CAST1": "陈国坤", "CAST2": "徐冬梅", "CAST3": "刘承俊", "CAST4": "侯桐江", "CAST5": "王海祥"},
{"Irank": "370", "MovieName": "悟空传", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "郭子健", "Genre1": "剧情", "Genre2": "动作", "Genre3": "奇幻", "CAST1": "彭于晏", "CAST2": "倪妮", "CAST3": "余文乐", "CAST4": "俞飞鸿", "CAST5": "欧豪"},
{"Irank": "371", "MovieName": "致青春·原来你还在这里", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "周拓如", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "吴亦凡", "CAST2": "刘亦菲", "CAST3": "金世佳", "CAST4": "李沁", "CAST5": "李梦"},
{"Irank": "372", "MovieName": "乘风破浪", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "韩寒", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "-", "CAST1": "邓超", "CAST2": "彭于晏", "CAST3": "赵丽颖", "CAST4": "董子健", "CAST5": "金士杰"},
{"Irank": "373", "MovieName": "碟仙诡谭2", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "雷宇扬", "Genre1": "悬疑", "Genre2": "惊悚", "Genre3": "-", "CAST1": "张韶涵", "CAST2": "方力申", "CAST3": "惠英红", "CAST4": "孙艺铭", "CAST5": "雷宇扬"},
{"Irank": "375", "MovieName": "火锅英雄", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "杨庆", "Genre1": "剧情", "Genre2": "犯罪", "Genre3": "-", "CAST1": "陈坤", "CAST2": "白百何", "CAST3": "秦昊", "CAST4": "喻恩泰", "CAST5": "王彦霖"},
{"Irank": "376", "MovieName": "三人行", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "杜琪峰", "Genre1": "剧情", "Genre2": "动作", "Genre3": "犯罪", "CAST1": "赵薇", "CAST2": "古天乐", "CAST3": "钟汉良", "CAST4": "卢海鹏", "CAST5": "林雪"},
{"Irank": "377", "MovieName": "七月与安生", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "曾国祥", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "周冬雨", "CAST2": "马思纯", "CAST3": "李程彬", "CAST4": "李萍", "CAST5": "蔡纲"},
{"Irank": "378", "MovieName": "海洋奇缘", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "罗恩·克莱蒙兹", "Genre1": "动画", "Genre2": "歌舞", "Genre3": "奇幻", "CAST1": "奥丽伊·卡瓦洛", "CAST2": "道恩·强森", "CAST3": "瑞切尔·豪斯", "CAST4": "特穆拉·莫里森", "CAST5": "杰梅奈·克莱门特"},
{"Irank": "379", "MovieName": "鸡飞狗跳", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "罗棋", "Genre1": "喜剧", "Genre2": "冒险", "Genre3": "-", "CAST1": "狄威", "CAST2": "陈观泰", "CAST3": "鲁芬", "CAST4": "张溯哲", "CAST5": "闫露娢"},
{"Irank": "381", "MovieName": "速度与激情7", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "温子仁", "Genre1": "动作", "Genre2": "惊悚", "Genre3": "犯罪", "CAST1": "范·迪塞尔", "CAST2": "保罗·沃克", "CAST3": "杰森·斯坦森", "CAST4": "米歇尔·罗德里格兹", "CAST5": "乔丹娜·布鲁斯特"},
{"Irank": "382", "MovieName": "既然青春留不住", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "田蒙", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "张翰", "CAST2": "陈乔恩", "CAST3": "王啸坤", "CAST4": "施予斐", "CAST5": "郭子千"},
{"Irank": "383", "MovieName": "比利·林恩的中场战事", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "李安", "Genre1": "剧情", "Genre2": "战争", "Genre3": "-", "CAST1": "乔·阿尔文", "CAST2": "加内特·赫德兰", "CAST3": "克里斯汀·斯图尔特", "CAST4": "范·迪塞尔", "CAST5": "李淳"},
{"Irank": "384", "MovieName": "血战钢锯岭", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "梅尔·吉布森", "Genre1": "剧情", "Genre2": "传记", "Genre3": "历史", "CAST1": "安德鲁·加菲尔德", "CAST2": "萨姆·沃辛顿", "CAST3": "文斯·沃恩", "CAST4": "雨果·维文", "CAST5": "卢克·布雷西"},
{"Irank": "385", "MovieName": "摆渡人", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "张嘉佳", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "梁朝伟", "CAST2": "金城武", "CAST3": "陈奕迅", "CAST4": "杨颖", "CAST5": "张榕容"},
{"Irank": "386", "MovieName": "大卫贝肯之倒霉特工熊", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "李清舫", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "家庭", "CAST1": "汤水雨", "CAST2": "徐佳琦", "CAST3": "杨默", "CAST4": "-", "CAST5": "-"},
{"Irank": "387", "MovieName": "雄狮", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "加斯·戴维斯", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "戴夫·帕特尔", "CAST2": "鲁妮·玛拉", "CAST3": "大卫·文翰", "CAST4": "妮可·基德曼", "CAST5": "桑尼·帕沃"},
{"Irank": "390", "MovieName": "寻找心中的你", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "刘伟恒", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "黄又南", "CAST2": "吴千语", "CAST3": "刘美君", "CAST4": "梁咏琪", "CAST5": "李克勤"},
{"Irank": "391", "MovieName": "卧虎藏龙:青冥宝剑", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "袁和平", "Genre1": "剧情", "Genre2": "动作", "Genre3": "武侠", "CAST1": "甄子丹", "CAST2": "杨紫琼", "CAST3": "岑勇康", "CAST4": "刘承羽", "CAST5": "李截"},
{"Irank": "393", "MovieName": "最后的巫师猎人", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "布瑞克·埃斯纳尔", "Genre1": "动作", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "范·迪塞尔", "CAST2": "伊莱贾·伍德", "CAST3": "露丝·莱斯利", "CAST4": "朱莉·恩格尔布雷希特", "CAST5": "迈克尔·凯恩"},
{"Irank": "398", "MovieName": "惊天破", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "吴品儒", "Genre1": "剧情", "Genre2": "动作", "Genre3": "悬疑", "CAST1": "谢霆锋", "CAST2": "刘青云", "CAST3": "佟丽娅", "CAST4": "范晓萱", "CAST5": "思漩"},
{"Irank": "399", "MovieName": "年兽大作战", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "张扬", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "奇幻", "CAST1": "雷佳音", "CAST2": "周冬雨", "CAST3": "陈赫", "CAST4": "陶虹", "CAST5": "郭涛"},
{"Irank": "400", "MovieName": "半熟少女", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "阿牛", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "黄灿灿", "CAST2": "敖犬", "CAST3": "南笙", "CAST4": "王子豪", "CAST5": "王子杰"},
{"Irank": "401", "MovieName": "灵偶契约", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "威廉·布伦特·贝尔", "Genre1": "恐怖", "Genre2": "-", "Genre3": "-", "CAST1": "劳伦·科汉", "CAST2": "鲁珀特·伊文斯", "CAST3": "吉姆·诺顿", "CAST4": "黛安娜·哈卡索", "CAST5": "本·罗伯森"},
{"Irank": "404", "MovieName": "最美的时候遇见你", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "吴娜", "Genre1": "爱情", "Genre2": "-", "Genre3": "-", "CAST1": "谭松韵", "CAST2": "罗云熙", "CAST3": "-", "CAST4": "-", "CAST5": "-"},
{"Irank": "407", "MovieName": "美人鱼", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "周星驰", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "奇幻", "CAST1": "邓超", "CAST2": "罗志祥", "CAST3": "张雨绮", "CAST4": "林允", "CAST5": "徐克"},
{"Irank": "409", "MovieName": "我的战争", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "彭顺", "Genre1": "剧情", "Genre2": "历史", "Genre3": "战争", "CAST1": "刘烨", "CAST2": "王珞丹", "CAST3": "杨祐宁", "CAST4": "叶青", "CAST5": "黄志忠"},
{"Irank": "410", "MovieName": "28岁未成年", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "张末", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "奇幻", "CAST1": "倪妮", "CAST2": "霍建华", "CAST3": "马苏", "CAST4": "王大陆", "CAST5": "潘斌龙"},
{"Irank": "412", "MovieName": "情圣", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "宋晓飞", "Genre1": "喜剧", "Genre2": "-", "Genre3": "-", "CAST1": "肖央", "CAST2": "闫妮", "CAST3": "小沈阳", "CAST4": "乔杉", "CAST5": "艾伦"},
{"Irank": "413", "MovieName": "罗曼蒂克消亡史", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "程耳", "Genre1": "剧情", "Genre2": "动作", "Genre3": "悬疑", "CAST1": "葛优", "CAST2": "章子怡", "CAST3": "浅野忠信", "CAST4": "杜淳", "CAST5": "钟欣潼"},
{"Irank": "419", "MovieName": "澳门风云3", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "王晶", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "-", "CAST1": "周润发", "CAST2": "刘德华", "CAST3": "张家辉", "CAST4": "张学友", "CAST5": "余文乐"},
{"Irank": "420", "MovieName": "冰河追凶", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "徐伟", "Genre1": "动作", "Genre2": "悬疑", "Genre3": "犯罪", "CAST1": "梁家辉", "CAST2": "佟大为", "CAST3": "周冬雨", "CAST4": "邓家佳", "CAST5": "魏晨"},
{"Irank": "422", "MovieName": "我的男友和狗", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "陈慧翎", "Genre1": "爱情", "Genre2": "-", "Genre3": "-", "CAST1": "张钧甯", "CAST2": "何润东", "CAST3": "赖佩霞", "CAST4": "丁春诚", "CAST5": "薛仕凌"},
{"Irank": "423", "MovieName": "九条命", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "巴里·索南菲尔德", "Genre1": "喜剧", "Genre2": "家庭", "Genre3": "奇幻", "CAST1": "凯文·史派西", "CAST2": "詹妮弗·加纳", "CAST3": "玛丽娜·维丝曼", "CAST4": "克里斯托弗·沃肯", "CAST5": "泰迪·西尔斯"},
{"Irank": "424", "MovieName": "蒸发太平洋", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "周文武贝", "Genre1": "剧情", "Genre2": "科幻", "Genre3": "冒险", "CAST1": "布兰登·罗斯", "CAST2": "张雨绮", "CAST3": "王盛德", "CAST4": "维森特·M.沃德", "CAST5": "戴向宇"},
{"Irank": "425", "MovieName": "阿拉丁与神灯", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "亚瑟·邦扎康", "Genre1": "喜剧", "Genre2": "-", "Genre3": "-", "CAST1": "凯文·亚当斯", "CAST2": "让-保罗·卢弗", "CAST3": "凡妮莎·吉德", "CAST4": "奥黛丽·拉米", "CAST5": "埃里克·朱多尔"},
{"Irank": "426", "MovieName": "大闹天竺", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "王宝强", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "冒险", "CAST1": "王宝强", "CAST2": "白客", "CAST3": "岳云鹏", "CAST4": "柳岩", "CAST5": "黄渤"},
{"Irank": "434", "MovieName": "我只要我们在一起", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "晏菲", "Genre1": "爱情", "Genre2": "-", "Genre3": "-", "CAST1": "杨恭如", "CAST2": "唐文龙", "CAST3": "迟帅", "CAST4": "周岭南", "CAST5": "-"},
{"Irank": "435", "MovieName": "璀璨的婚礼", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "原野", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "嘉男海林", "CAST2": "郑佩佩", "CAST3": "唐士艳", "CAST4": "李凤鸣", "CAST5": "肖宗灵"},
{"Irank": "437", "MovieName": "游戏规则", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "高希希", "Genre1": "剧情", "Genre2": "动作", "Genre3": "-", "CAST1": "何润东", "CAST2": "黄子韬", "CAST3": "古力娜扎", "CAST4": "王学圻", "CAST5": "秋瓷炫"},
{"Irank": "438", "MovieName": "爱情对赌", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "邱晓军", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "李牧芸", "CAST2": "楼云飞", "CAST3": "沈璐", "CAST4": "万梓良", "CAST5": "文熙"},
{"Irank": "439", "MovieName": "驴得水", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "周申", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "-", "CAST1": "任素汐", "CAST2": "大力", "CAST3": "刘帅良", "CAST4": "裴魁山", "CAST5": "阿如那"},
{"Irank": "440", "MovieName": "恐怖理发店", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "陆诗雷", "Genre1": "爱情", "Genre2": "悬疑", "Genre3": "惊悚", "CAST1": "殷果儿", "CAST2": "任青安", "CAST3": "姜星丘", "CAST4": "陈嘉敏", "CAST5": "刘小奇"},
{"Irank": "441", "MovieName": "洛杉矶捣蛋计划", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "郑潇", "Genre1": "喜剧", "Genre2": "家庭", "Genre3": "-", "CAST1": "夏雨", "CAST2": "宋祖儿", "CAST3": "杨紫", "CAST4": "吴大维", "CAST5": "江珊"},
{"Irank": "442", "MovieName": "夏有乔木 雅望天堂", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "赵真奎", "Genre1": "爱情", "Genre2": "-", "Genre3": "-", "CAST1": "吴亦凡", "CAST2": "韩庚", "CAST3": "卢杉", "CAST4": "包贝尔", "CAST5": "周元"},
{"Irank": "443", "MovieName": "我不是潘金莲", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "冯小刚", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "-", "CAST1": "范冰冰", "CAST2": "郭涛", "CAST3": "大鹏", "CAST4": "张嘉译", "CAST5": "于和伟"},
{"Irank": "448", "MovieName": "美女与野兽", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "比尔·康顿", "Genre1": "爱情", "Genre2": "歌舞", "Genre3": "奇幻", "CAST1": "艾玛·沃森", "CAST2": "丹·史蒂文斯", "CAST3": "卢克·伊万斯", "CAST4": "凯文·克莱恩", "CAST5": "乔什·加德"},
{"Irank": "449", "MovieName": "西游伏妖篇", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "徐克", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "奇幻", "CAST1": "吴亦凡", "CAST2": "林更新", "CAST3": "姚晨", "CAST4": "林允", "CAST5": "包贝尔"},
{"Irank": "450", "MovieName": "刺客信条", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "贾斯汀·库泽尔", "Genre1": "动作", "Genre2": "科幻", "Genre3": "历史", "CAST1": "迈克尔·法斯宾德", "CAST2": "玛丽昂·歌迪亚", "CAST3": "杰瑞米·艾恩斯", "CAST4": "布莱丹·格里森", "CAST5": "夏洛特·兰普林"},
{"Irank": "451", "MovieName": "睡在我上铺的兄弟", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "张琦", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "陈晓", "CAST2": "秦岚", "CAST3": "杜天皓", "CAST4": "刘芮麟", "CAST5": "李现"},
{"Irank": "452", "MovieName": "绝战", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "许江华", "Genre1": "剧情", "Genre2": "动作", "Genre3": "战争", "CAST1": "何育骏", "CAST2": "王岚", "CAST3": "高明升", "CAST4": "胡子健", "CAST5": "吕文军"},
{"Irank": "453", "MovieName": "熊出没之熊心归来", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "丁亮", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "冒险", "CAST1": "张伟", "CAST2": "张秉君", "CAST3": "谭笑", "CAST4": "赵肖宇", "CAST5": "万丹青"},
{"Irank": "454", "MovieName": "国酒", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "宋江波", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "黄奕", "CAST2": "范逸臣", "CAST3": "赵文瑄", "CAST4": "侯天来", "CAST5": "石兆琪"},
{"Irank": "455", "MovieName": "极限挑战之皇家宝藏", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "任静", "Genre1": "喜剧", "Genre2": "悬疑", "Genre3": "-", "CAST1": "黄渤", "CAST2": "孙红雷", "CAST3": "黄磊", "CAST4": "罗志祥", "CAST5": "王迅"},
{"Irank": "456", "MovieName": "魔弦传说", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "特拉维斯·奈特", "Genre1": "动画", "Genre2": "奇幻", "Genre3": "冒险", "CAST1": "查理兹·塞隆", "CAST2": "马修·麦康纳", "CAST3": "拉尔夫·费因斯", "CAST4": "阿特·帕金森", "CAST5": "鲁妮·玛拉"},
{"Irank": "457", "MovieName": "生化危机:终章", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "保罗·安德森", "Genre1": "动作", "Genre2": "科幻", "Genre3": "恐怖", "CAST1": "米拉·乔沃维奇", "CAST2": "伊恩·格雷", "CAST3": "艾丽·拉特", "CAST4": "鲁比·罗丝", "CAST5": "李准基"},
{"Irank": "458", "MovieName": "陆垚知马俐", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "文章", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "包贝尔", "CAST2": "宋佳", "CAST3": "朱亚文", "CAST4": "焦俊艳", "CAST5": "郭京飞"},
{"Irank": "459", "MovieName": "追击", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "保罗·名士", "Genre1": "动作", "Genre2": "犯罪", "Genre3": "-", "CAST1": "露丝·布莱德利", "CAST2": "布莱丹·格里森", "CAST3": "巴里·沃德", "CAST4": "欧文·沃尔", "CAST5": "利亚姆·坎宁安"},
{"Irank": "460", "MovieName": "西游记之大圣归来", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "田晓鹏", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "动画", "CAST1": "张磊", "CAST2": "林子杰", "CAST3": "吴文伦", "CAST4": "童自荣", "CAST5": "刘九容"},
{"Irank": "471", "MovieName": "致命怪谈", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "依平", "Genre1": "悬疑", "Genre2": "惊悚", "Genre3": "-", "CAST1": "刘青", "CAST2": "周浩东", "CAST3": "苏婷", "CAST4": "杨海超", "CAST5": "魏建云"},
{"Irank": "473", "MovieName": "猪太狼的夏天", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "宋灏霖", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "-", "CAST1": "孙博", "CAST2": "李昊泽", "CAST3": "王继贤", "CAST4": "刘雪涛", "CAST5": "徐唯"},
{"Irank": "474", "MovieName": "渠首欢歌", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "尹海峰", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "尚国伟", "CAST2": "李玲", "CAST3": "王艺禅", "CAST4": "郝光", "CAST5": "丁锐"},
{"Irank": "476", "MovieName": "爱宠大机密", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "克里斯·雷纳德", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "-", "CAST1": "路易·C·K", "CAST2": "艾瑞克·斯通斯崔特", "CAST3": "凯文·哈特", "CAST4": "艾丽·坎伯尔", "CAST5": "史蒂夫·库根"},
{"Irank": "478", "MovieName": "三少爷的剑", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "尔冬升", "Genre1": "剧情", "Genre2": "动作", "Genre3": "武侠", "CAST1": "林更新", "CAST2": "何润东", "CAST3": "江一燕", "CAST4": "蒋梦婕", "CAST5": "鲍起静"},
{"Irank": "481", "MovieName": "横冲直撞好莱坞", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "蒂姆·肯德尔", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "冒险", "CAST1": "赵薇", "CAST2": "黄晓明", "CAST3": "佟大为", "CAST4": "黎一墨", "CAST5": "姜成镐"},
{"Irank": "482", "MovieName": "澳门风云2", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "王晶", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "-", "CAST1": "周润发", "CAST2": "张家辉", "CAST3": "刘嘉玲", "CAST4": "余文乐", "CAST5": "王诗龄"},
{"Irank": "483", "MovieName": "勇士", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "宁海强", "Genre1": "动作", "Genre2": "历史", "Genre3": "战争", "CAST1": "李东学", "CAST2": "于小伟", "CAST3": "聂远", "CAST4": "宋佳伦", "CAST5": "徐洪浩"},
{"Irank": "484", "MovieName": "星球大战外传:侠盗一号", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "加里斯·爱德华斯", "Genre1": "动作", "Genre2": "科幻", "Genre3": "冒险", "CAST1": "菲丽希缇·琼斯", "CAST2": "迭戈·卢纳", "CAST3": "甄子丹", "CAST4": "本·门德尔森", "CAST5": "麦斯·米科尔森"},
{"Irank": "485", "MovieName": "太空旅客", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "莫滕·泰杜姆", "Genre1": "科幻", "Genre2": "冒险", "Genre3": "-", "CAST1": "詹妮弗·劳伦斯", "CAST2": "克里斯·帕拉特", "CAST3": "麦克·辛", "CAST4": "劳伦斯·菲什伯恩", "CAST5": "安迪·加西亚"},
{"Irank": "486", "MovieName": "微微一笑很倾城", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "赵天宇", "Genre1": "爱情", "Genre2": "-", "Genre3": "-", "CAST1": "井柏然", "CAST2": "杨颖", "CAST3": "李沁", "CAST4": "王思聪", "CAST5": "刘循子墨"},
{"Irank": "487", "MovieName": "遵义会议", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "刘星", "Genre1": "历史", "Genre2": "战争", "Genre3": "-", "CAST1": "于紫菲", "CAST2": "佟瑞欣", "CAST3": "张京生", "CAST4": "姚中华", "CAST5": "马晓伟"},
{"Irank": "488", "MovieName": "宝贝当家", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "张敏", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "-", "CAST1": "王诗龄", "CAST2": "吴镇宇", "CAST3": "杨千嬅", "CAST4": "詹瑞文", "CAST5": "元秋"},
{"Irank": "489", "MovieName": "荒野猎人", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "亚利桑德罗·冈萨雷斯·伊纳里图", "Genre1": "剧情", "Genre2": "惊悚", "Genre3": "冒险", "CAST1": "莱昂纳多·迪卡普里奥", "CAST2": "汤姆·哈迪", "CAST3": "多姆纳尔·格里森", "CAST4": "威尔·保尔特", "CAST5": "福勒斯特·古德勒克"},
{"Irank": "490", "MovieName": "梦想合伙人", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "张太维", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "-", "CAST1": "姚晨", "CAST2": "唐嫣", "CAST3": "郝蕾", "CAST4": "郭富城", "CAST5": "李晨"},
{"Irank": "497", "MovieName": "女人永远是对的", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "高志森", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "张可颐", "CAST2": "刘心悠", "CAST3": "卫诗雅", "CAST4": "杨思琦", "CAST5": "李铭顺"},
{"Irank": "498", "MovieName": "凤凰街风雨", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "刘季欢", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "卢海华", "CAST2": "刘芳毓", "CAST3": "高发", "CAST4": "李丞峰", "CAST5": "-"},
{"Irank": "499", "MovieName": "外公芳龄38", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "安兵基", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "-", "CAST1": "佟大为", "CAST2": "陈妍希", "CAST3": "吕云骢", "CAST4": "刘芮麟", "CAST5": "温心"},
{"Irank": "500", "MovieName": "走出尘埃", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "谢晓东", "Genre1": "剧情", "Genre2": "-", "Genre3": "-", "CAST1": "秦勇", "CAST2": "冯波", "CAST3": "-", "CAST4": "-", "CAST5": "-"},
{"Irank": "501", "MovieName": "追凶者也", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "曹保平", "Genre1": "剧情", "Genre2": "喜剧", "Genre3": "犯罪", "CAST1": "刘烨", "CAST2": "张译", "CAST3": "段博文", "CAST4": "王子文", "CAST5": "谭卓"},
{"Irank": "502", "MovieName": "神探驾到", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "黄百鸣", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "悬疑", "CAST1": "古天乐", "CAST2": "张翰", "CAST3": "曾志伟", "CAST4": "毛舜筠", "CAST5": "柳岩"},
{"Irank": "503", "MovieName": "魔宫魅影", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "叶伟民", "Genre1": "剧情", "Genre2": "爱情", "Genre3": "惊悚", "CAST1": "林心如", "CAST2": "杨祐宁", "CAST3": "任达华", "CAST4": "黄幻", "CAST5": "景岗山"},
{"Irank": "504", "MovieName": "女汉子真爱公式", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "郭大雷", "Genre1": "喜剧", "Genre2": "爱情", "Genre3": "-", "CAST1": "赵丽颖", "CAST2": "张翰", "CAST3": "童菲", "CAST4": "丁一宇", "CAST5": "涂世旻"},
{"Irank": "506", "MovieName": "鼠来宝4:萌在囧途", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "沃尔特·拜克", "Genre1": "喜剧", "Genre2": "动画", "Genre3": "音乐", "CAST1": "贾斯汀·朗", "CAST2": "马修·格雷·古柏勒", "CAST3": "杰西·麦卡尼", "CAST4": "杰森·李", "CAST5": "金柏莱·威廉姆斯"},
{"Irank": "511", "MovieName": "末日崩塌", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "布拉德·佩顿", "Genre1": "动作", "Genre2": "冒险", "Genre3": "灾难", "CAST1": "道恩·强森", "CAST2": "亚历珊德拉·达达里奥", "CAST3": "卡拉·古奇诺", "CAST4": "雨果·约翰斯通-伯特", "CAST5": "雅奇·潘嘉比"},
{"Irank": "512", "MovieName": "我的个神啊", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "拉吉库马尔·希拉尼", "Genre1": "喜剧", "Genre2": "奇幻", "Genre3": "-", "CAST1": "阿米尔·汗", "CAST2": "安努舒卡·莎玛", "CAST3": "桑杰·达特", "CAST4": "博曼·伊拉尼", "CAST5": "沙鲁巴·舒克拉"},
{"Irank": "515", "MovieName": "红军小学", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "丁林", "Genre1": "剧情", "Genre2": "历史", "Genre3": "-", "CAST1": "谯丹", "CAST2": "唐楚梵", "CAST3": "侯定江", "CAST4": "廖震", "CAST5": "张祎格"},
{"Irank": "516", "MovieName": "超能陆战队", "BoxOffice": "0.0", "SumBoxOffice": "0.0", "Director": "唐·霍尔", "Genre1": "喜剧", "Genre2": "动作", "Genre3": "科幻", "CAST1": "斯科特·安第斯", "CAST2": "瑞恩·波特", "CAST3": "丹尼尔·海尼", "CAST4": "T·J·米勒", "CAST5": "杰米·钟"},
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{"paper": {"title": "Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games", "authors": ["Tianrong Chen", "Ziyi Wang", "Ioannis Exarchos", "Evangelos Theodorou"], "authorids": ["~Tianrong_Chen1", "~Ziyi_Wang1", "~Ioannis_Exarchos1", "~Evangelos_Theodorou1"], "summary": "In this paper, we propose a novel and scalable deep learning framework for solving multi-agent stochastic differential game using fictitious play.", "abstract": " In this paper we present a deep learning framework for solving large-scale multi-agent non-cooperative stochastic games using fictitious play. The Hamilton-Jacobi-Bellman (HJB) PDE associated with each agent is reformulated into a set of Forward-Backward Stochastic Differential Equations (FBSDEs) and solved via forward sampling on a suitably defined neural network architecture. Decision-making in multi-agent systems suffers from the curse of dimensionality and strategy degeneration as the number of agents and time horizon increase. We propose a novel Deep FBSDE controller framework which is shown to outperform the current state-of-the-art deep fictitious play algorithm on a high dimensional inter-bank lending/borrowing problem. More importantly, our approach mitigates the curse of many agents and reduces computational and memory complexity, allowing us to scale up to 1,000 agents in simulation, a scale which, to the best of our knowledge, represents a new state of the art. Finally, we showcase the framework's applicability in robotics on a belief-space autonomous racing problem.", "keywords": ["Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games"]}, "meta": {"decision": "Reject", "comment": "This paper introduces a scalable method for FSP based on FBSDE. The method is theoretically derived then applied on two problems, one simple but with many (1000) agents, and one with only 2 agents but partial observability.\n\nThe main strength of this paper lies in the scalability and the time complexity of the proposed method. Computing Nash equilibriums for many agents is a difficult problem and this paper is interesting in this aspect.\n\nHowever, the reviewers point out several weak points to this paper. The difference with a previous work by Han, Hu and Long needs to be highlighted. Some parts of the paper are not clear, and too much of the important results are pushed into the appendix. Maybe this work is not best fitted to a conference format, and should be submitted to a journal? Another concern raised by the reviewers is that the experimental section does not show significant enough results, and that it is surprising to see a 2-agents problem as an illustration of a method that is aiming at addressing scalability with respect to the number of agents.\n\nReviewers agree on rejection for this paper, although by a small margin. I therefore recommend rejection. I think that if the authors improve this paper by following the reviewer suggestions, it can be accepted in a future venue."}, "review": {"V4rOyZuiYxb": {"type": "review", "replyto": "UoAFJMzCNM", "review": "Summary\n\nThe paper introduces improved deep learning architecture for solving stochastic differential games by fictitious play. Compared to previous best model it uses LSTM instead of MLP to capture forward dynamics of the system, importance sampling and order invariant encoding of other agents to improve sample efficiency of learning.\n\n\nStrong points\n\n* Order invariant encoding uses inherent structure of the problem that improves sample efficiency compared to previous approaches.\u00a0\n* Batching of some operations speeds up the algorithm.\n* Two different domains are used to evaluate the model.\n\n\nWeak points\n\n* Time complexity claims are problematic.\n* The paper is sometimes difficult to follow. It seems like 8 pages aren't enough to describe the whole approach in detail. Many things in appendix seem central for the presented system.\u00a0\n* Importance sampling that is claimed to be important ingredient isn't described well enough neither in the main text nor in the appendix.\n* Quantitative evaluation is presented only for domains that can be already solved analytically. In other domains only qualitative results are presented.\n\n\nRecommendation\n\nI recommend rejecting the paper due to lack of clarity and lack of evaluation against other methods suitable for solving problems that can't be solved analytically.\n\n\nQuestions\n\n*\u00a0It seems to me that \"propagate by batch\" time complexities in Table 1 assume constant time computation of batches. Is that correct? That would however be a simplification, while batched computation is much faster on GPUs it isn't in general constant time. This view is further supported by Fig 4 where empirical time complexity also isn't constant as is suggested by Table 1.\n\n* My understanding of empirical results is that the model is run in domains with analytical solution only as sanity check. The true value is in domains without analytical solution (e.g.\u00a0Superlinear Simulation section).\u00a0Current evaluation for superlinear setup and autonomous racing is only qualitative. I would like to see comparison to previous methods applicable to these domains if there are any (numerical solvers?). If there aren't any the paper should explain why this is the case. I understand that the model is an improvement over Han & Hu however does it allow us to do something we couldn't do before when we consider even non learning methods? Please reflect on this point to help me better understand main contribution of the paper. This broader context would help readers (like me) that aren't experts in stochastic differential games.\n\n\nPossible improvements\n\n* Since most of the results compare presented model against Han & Hu 2019 it would help to add a paragraph that briefly summarizes algorithmic/model differences. Is it true that current system is Han & Hu with LSTM instead of MLP\u00a0+ importance sampling\u00a0+ invariant layer?\u00a0\n\n* In table 2 unit of \"Total time\" isn't specified.\n\n* \"memory complexity of LSTM with respect to time is O(1)\" --- this is true for inference time, at train time O(T) activations still have to be stored. (If they aren't to be recomputed again for each t < T). The text can be more clear on that.\n\n* In Figs 5 and 6 captions say that it compares current system against Han & Hu however the legend shows FC and LSTM with and without invariant layers. I assume that Han & Hu = FC and current system is LSTM\u00a0+ invariant layer. However being more explicit about that would\u00a0 help. Does FC model here use importance sampling or not?\n\nTypos\n* solutions exist only few special -> only FOR few\n* stochastic optional control problem -> OPTIMAL control\n* drive fast than -> drive fastER\n* global augment -> augmentED\n* The paper would benefit from further proofreading.\u00a0", "title": "Some questions about clarity of presentation and significance of the approach", "rating": "4: Ok but not good enough - rejection", "confidence": "3: The reviewer is fairly confident that the evaluation is correct"}, "pYZir_7o_YR": {"type": "rebuttal", "replyto": "vAR77G0R1IX", "comment": "**Responses for Reviewer 1**:\n\n**1. Novelty and contribution of our work**\n\nThe main advantage of the framework introduced is its scalability wrt. time and memory. The use of importance sampling and LSTM architecture accelerate training by improving the sample efficiency and introducing time correlation in the network architecture. The addition of an invariant layer renders our framework invariant to permutations of agents. This also greatly reduces the memory complexity of our framework and improves the performance when the number of agents is large. Our framework scales to 20x the problem in Han & Hu and achieves better performance on a similar scale.\nSection 3.2 has been updated in the revised paper to provide the details for the scalability aspect.\n\n**2. Updated Figure 5**\n\nWe apologize for the confusing legend in the original figure 5. The paper has been updated with a more proper and detailed legend. In short, Han & Hu's work is FC w/o importance sampling, w/o invariant layers. Our approach is LSTM w/ importance sampling and w/ invariant layers. In the experiments, we also artificially integrate the invariant layer with Han&Hu's work to evaluate the generalization and efficiency of the invariant layer. The comparison is also demonstrated in figure 5.\n\n**3. Updated Figure 2**\n\nWe apologize for the unclear legend in the original figure 2. The paper has been updated and now the comparison between analytic solution and numerical solution by our FBSDE solver can be found in figure 3. Figure 3\u2019s legend has also been updated to provide a clear distinction between the analytic solution and the proposed framework\u2019s solution. The dot is the analytic solution and the solid line is the numerical solution by our proposed FBSDE solver.\n\n**4. Autonomous racing generalization**\n\nAs the reviewer correctly pointed out, the autonomous racing example aims to showcase the general applicability of the framework. Furthermore, in this example, the individual agent\u2019s states and controls are higher dimensional, and the dynamics are more complex than that of the interbank example. (For decoupled BSDE it provides the possibility of application to the competitive scenario. Meanwhile, we also demonstrate that our framework can be applied to partially observed scenarios as long as the forward dynamics can be written into an FSDE form.)", "title": "Author Response to Reviewer 1"}, "CsE51kOor4J": {"type": "rebuttal", "replyto": "V4rOyZuiYxb", "comment": "**Responses for Reviewer 2**:\n\n**1.Problematic complexity claim**\n\nWe would like to thank you for pointing out the problems with time and memory complexity in the paper. The time complexity of a parallel system is sophisticated to analyze because we need certain configurations of hardware such as computation efficiency, thread synchronization time, etc. We decided to remove table 2 and only show the time and memory complexity empirically in the updated Figure 4.\n\n**2. Clarification for importance sampling**\n\nReviewer4 raised questions about the importance sampling as well, and let me elaborate here for clarification. The main difference between our FBSDE representation and prior work (Han & Hu and the follow-up proof of convergence paper by Han, Hu& Long) is the importance sampling scheme, where the forward process of an agent is propagated using a controlled SDE where the controls are computed from explicit solutions of the Hamiltonian minimization. In Han & Hu, the forward process is an uncontrolled process. The use of importance sampling allows for more efficient sampling and hence faster convergence of the algorithm.\n\n Since the FC architecture comes from Han& Hu, the FC experiments do not have importance sampling implemented. We also experimented with integrating important sampling in their FC model, but it performed worse. A possible reason is listed in section 3.2 of the paper.\n\n**3. Add comparison with baseline besides qualitative results**\n\nWe added a comparison against the baseline (from Han & Hu) for superlinear dynamics using the total cost, which is defined by the original objective function in eq. 2. Please refer to Figure 12 in the revised version of the paper for the comparison. \n\n**4. A possible application for numerical solver**\n\nNumerical PDE solvers based on finite element and finite difference methods do not scale beyond very few dimensions, as they rely on grids.\n\n**5. Addressed the unclear legend in the figure (5,6,7)**\n\nWe updated figure 5,6,7 with a more clear legend to demonstrate the architectures we used for experiments.\n\n**6. Contributions of this work**\n\nThe main advantage of the framework introduced is its scalability wrt. time and memory. The use of importance sampling and LSTM architecture accelerate training by improving the sample efficiency and introducing time correlation in the network architecture. The addition of an invariant layer renders our framework invariant to permutations of agents. This also greatly reduces the memory complexity of our framework and improves the performance when the number of agents is large. Our framework scales to 20x the problem in Han & Hu and achieves better performance on a similar scale.", "title": "Author Response to Reviewer 2"}, "c1AntnfEgoe": {"type": "rebuttal", "replyto": "6Cd6XNlI996", "comment": "**Responses for Reviewer 4**:\n\n**1. Issues about BSDE representation and differences between our algorithm and Han &Hu's work**\n\nWhile there exists a rich theory behind formulating BSDEs in a very general setting, for the stochastic differential game problem considered in this paper, the optimality condition defined by the HJB equation is the most popular and well studied. To the best of our knowledge, there is no work on non-markovian FBSDE representation for stochastic optimal control. The main difference between our FBSDE representation and prior work (Han & Hu and the follow-up proof of convergence paper by Han, Hu& Long) is the importance sampling scheme, where the forward process of an agent is propagated using a controlled SDE where the controls are computed from explicit solutions of the Hamiltonian minimization. In Han & Hu, the forward process is an uncontrolled process. The use of importance sampling allows for more efficient sampling and hence faster convergence of the algorithm. \n\n**2.Quantify Nash equlibrium**\n\nTo quantify the Nash equilibrium, we have updated the results in the paper to compare the total cost of each agent (Figure 5, Figure 6). A closer proximity to the Nash equilibrium would correspond to lower cost for all agents. \n\n**3. Multiple Nash equilibrium**\n\nIn this paper, we are focusing on solving problems with unique Nash equilibrium numerically and improving the scalability with respect to time and memory. Multiple Nash equilibria are not easy to solve not only for MARL but also for stochastic differential games. We believe that this is a good future direction for a potential algorithm extension.\n\n--------------------------------------------------------------------------------------------\n**Responses for minor points raised by Reviewer 4**:\n\n**1. Number of agents for invariant approximation**\n\nWe consider **N-1** agents (-ith agents) for invariant approximation. The changes in the solution with respect to the number of agents can be seen in the RSE in figure 5. RSE measures the difference between the analytic solution of the value function and the approximation by the deep FBSDE framework.\n\n**2. The purpose for the algorithm and non-cooperative nature**\n\nNote that the game here needs to be non-cooperative by nature. Fictitious play is a strategy which is deployed to numerically obtain the Nash Equilibrium defined on a non-cooperative game[1].\n\n**3. Missing important references**\n\nWe added several more references in the paper for learning the Nash equilibrium in multi-player games and the connection between BSDE and multi-player stochastic games.\n\n[1] Osborne, Martin J.; Rubinstein, Ariel (12 Jul 1994). A Course in Game Theory. Cambridge, MA: MIT. p. 14. ISBN 9780262150415.", "title": "Author Response to Reviewer 4"}, "ZMv_laijUcg": {"type": "rebuttal", "replyto": "UoAFJMzCNM", "comment": "**Responses for All Reviewers**:\nWe thank all the reviewers for critiques and suggestions. \nWe addressed the concerns and revised the submission with the modification marked in red. The experiments section is updated (Figure 3, Figure 4, Figure 5, Figure 6) according to the reviewers\u2019 suggestions and we added additional experiments to illustrate the efficiency of our algorithm (Figure 7, Figure 12, Figure 15). We address the comments of each reviewer separately.", "title": "Author response to all reviewers"}, "vAR77G0R1IX": {"type": "review", "replyto": "UoAFJMzCNM", "review": "Clarity:\nTill page 3 the paper was easy to follow, i.e., the analytical expressions in eq(5), and the basic idea of Algorithm 1 (which is same as prior works by Han et al. , Wang et al., Periera et al.) are clear. However, after page 3 the paper is hard to follow. The specific points are as follows:\n1) It looks like both LSTM and FC have been tried in the past. So what is the novelty here? Is it making the deep FBSDE framework scalable? and if so how is this achieved? by introducing the invariant layer? or just using the symmetry property to share the networks?\n2) Comparisons with Han& Hu (2019) is presented only in Table 2. Figure 5 says comparison with Han & Hu (2019), but only FC w/wo invariant layer and LSTM w/wo invariant layer have been presented. Is it true that Han & Hu (2019) is FC and LSTM without the invariant layer and the current approach in the paper is FC and LSTM with the invariant layer?\n3) Figure 2, says comparison between analytical and deep FBDSDE solutions. Yet, 10 trajectories are displayed. Do they correspond to 10 different agents? If so, what is the difference between the 10 trajectories and the deep FBSDE solution?\n4) In the autonomous racing section, the authors mention \"The results emphasizes the generalization ability of our framework\" what is generalization here? Is it that the method also works on a different domain?\n\nQuality:\n1) The main contribution seems to be scalability. It will be a lot helpful if Section 3.2 is elaborated a bit more, where the `scalability' aspects of the current work is discussed in detail. As of now, Section 3.2 seems `rushed'.\n2) Table 2 compares the proposed method with Han&Hu (2019). This is done for 10 agents. Yet, we do not know what happens as we increase the number of agents.\n3) Figure 4 has number of agents in x-axis, yet it compares only the various implementations of the current work and prior work is not included. \n\n\nNovelty:\nIt appears that the paper puts together blocks/algorithms in prior works (say invariant layer from Zaheer et al. 2017, deep FBSDE from Wang et al., Periera et al., Han & Hu). This way novelty seems to be limited. \n\nSignificance:\nScalability is the main take away of this paper. Figure 5 and Figure 4 show that the proposed method is better than prior methods, yet the performance improvement is not significant. However, the savings could be in the time/space complexity, which the paper does not elaborate. In short, due to the fact that certain critical parts have not been explained it is hard to judge the significance.\n\n\nOverall Feedback: The critical information regarding the invariant layers, scaling, savings in the scaling is missing. Also, adding this information may not take significantly extra space. So, it will be great if the authors can provide this information.\n", "title": "Puts together prior works and exploits problem structure to achieve scaling. Yet, critical details related to scaling are missing.", "rating": "5: Marginally below acceptance threshold", "confidence": "4: The reviewer is confident but not absolutely certain that the evaluation is correct"}, "6Cd6XNlI996": {"type": "review", "replyto": "UoAFJMzCNM", "review": "\n\nSummary:\nThe paper proposes a deep learning based algorithm for computing Multi agent Nash equilibrium, relying on the Forward Backward Stochastic Differential Equation representation (BSDE) of the solution together with Fictitious play algorithm. The authors present numerical examples on linear quadratic symetric stochastic games with 1000 agents, as well as solutions to partially observed 2 agents racing problem using extended Kalman filter. \n\nStrength of the paper:\n- The derivation on a scalable Deep learning based algorithm for solving FBSDEs and related stochastic game;\n- The possibility to approximate the Nash equilibrium in a game with a large number of players (more than 1000)\n- The presentation of examples in a partially observable framework, where Kalman filtering is necessary to derive the solution of the game.\n\nWeakness of the paper:\n- The BSDE presented in the paper is obtained through the consideration of the corresponding Hamilton Jacobi Bellman Partial Differential Equation, although such representation could a priori be obtained in a more general and possibly non Markovian framework\n- The BSDE representation is claimed to be different form the one introduced in Han & Hu, but this should be detailed more precisely, as few information on this crucial point is given in the current version of the paper. Is it e.g. related to the use of Pontryagin principle of value process approach for the FBSDE? \n- In the car racing example, it does not seem clear how the proximity to a Nash equilibrium is quantified. It is also surprising to focus on a 2 agents example, while the paper seems to intend to emphasize the scalability of the approach.\n- It is a priori not clear how the presented BSDE representation differs from a related recent paper by Han, Hu and Long (Convergence of Deep Fictitious Play for Stochastic Differential Games). This should be discussed.\n- It seems that this paper only focuses on games with unique Nash equilibrium, although the use of RL algorithm for games seems to become intricate whenever several Nash equilibrium shop up into the picture. \n\n\nRecommandation; Given the strengths of the paper in terms of FBSDE representation of the solution, together with the weaknesses presented above, I recommend to reject the paper, but am looking forward to get clarifications on the points raised above.\n\nMinor points:\n1. Typos: \u00ab\u00a0drive fast than\u00a0\u00bb p8.; \u00ab\u00a0invarint layer\u00a0\u00bb in Figure 5; \n2. Figure 2: Can you clarify the number of agents considered for such approximation? By the way, how does the solution changes as the number of agents increases? It could a priori seem to be quite stable.\n3. Do the games considered here need to be non-cooperative by nature? For which purpose for the algorithm?\n4. Some important references seem to be missing: some on the use of Fictitious Play for learning the Nash equilibrium in multi player games; some connecting BSDE representation to multi-player stochastic games.\n\n", "title": "Review on Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games", "rating": "5: Marginally below acceptance threshold", "confidence": "5: The reviewer is absolutely certain that the evaluation is correct and very familiar with the relevant literature"}}} |
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"an5.104:0.1": "Aṅguttara Nikāya 5 ",
"an5.104:0.2": "11. Phāsuvihāravagga ",
"an5.104:0.3": "104. Samaṇasukhumālasutta ",
"an5.104:1.1": "“Pañcahi, bhikkhave, dhammehi samannāgato bhikkhu samaṇesu samaṇasukhumālo hoti. ",
"an5.104:2.1": "Katamehi pañcahi? ",
"an5.104:2.2": "Idha, bhikkhave, bhikkhu yācitova bahulaṃ cīvaraṃ paribhuñjati, appaṃ ayācito; yācitova bahulaṃ piṇḍapātaṃ paribhuñjati, appaṃ ayācito; yācitova bahulaṃ senāsanaṃ paribhuñjati, appaṃ ayācito; yācitova bahulaṃ gilānapaccayabhesajjaparikkhāraṃ paribhuñjati, appaṃ ayācito. ",
"an5.104:2.3": "Yehi kho pana sabrahmacārīhi saddhiṃ viharati, tyassa manāpeneva bahulaṃ kāyakammena samudācaranti, appaṃ amanāpena; manāpeneva bahulaṃ vacīkammena samudācaranti, appaṃ amanāpena; manāpeneva bahulaṃ manokammena samudācaranti, appaṃ amanāpena; ",
"an5.104:2.4": "manāpaṃyeva upahāraṃ upaharanti, appaṃ amanāpaṃ. ",
"an5.104:2.5": "Yāni kho pana tāni vedayitāni pittasamuṭṭhānāni vā semhasamuṭṭhānāni vā vātasamuṭṭhānāni vā sannipātikāni vā utupariṇāmajāni vā visamaparihārajāni vā opakkamikāni vā kammavipākajāni vā, tānissa na bahudeva uppajjanti. ",
"an5.104:2.6": "Appābādho hoti, catunnaṃ jhānānaṃ ābhicetasikānaṃ diṭṭhadhammasukhavihārānaṃ nikāmalābhī hoti akicchalābhī akasiralābhī, ",
"an5.104:2.7": "āsavānaṃ khayā anāsavaṃ cetovimuttiṃ paññāvimuttiṃ diṭṭheva dhamme sayaṃ abhiññā sacchikatvā upasampajja viharati. ",
"an5.104:2.8": "Imehi kho, bhikkhave, pañcahi dhammehi samannāgato bhikkhu samaṇesu samaṇasukhumālo hoti. ",
"an5.104:3.1": "Yañhi taṃ, bhikkhave, sammā vadamāno vadeyya: ‘samaṇesu samaṇasukhumālo’ti, mameva taṃ, bhikkhave, sammā vadamāno vadeyya: ‘samaṇesu samaṇasukhumālo’ti. ",
"an5.104:3.2": "Ahañhi, bhikkhave, yācitova bahulaṃ cīvaraṃ paribhuñjāmi, appaṃ ayācito; yācitova bahulaṃ piṇḍapātaṃ paribhuñjāmi, appaṃ ayācito; yācitova bahulaṃ senāsanaṃ paribhuñjāmi, appaṃ ayācito; yācitova bahulaṃ gilānapaccayabhesajjaparikkhāraṃ paribhuñjāmi, appaṃ ayācito. ",
"an5.104:3.3": "Yehi kho pana bhikkhūhi saddhiṃ viharāmi, te maṃ manāpeneva bahulaṃ kāyakammena samudācaranti, appaṃ amanāpena; manāpeneva bahulaṃ vacīkammena samudācaranti, appaṃ amanāpena; manāpeneva bahulaṃ manokammena samudācaranti, appaṃ amanāpena; ",
"an5.104:3.4": "manāpaṃyeva upahāraṃ upaharanti, appaṃ amanāpaṃ. ",
"an5.104:3.5": "Yāni kho pana tāni vedayitāni—pittasamuṭṭhānāni vā semhasamuṭṭhānāni vā vātasamuṭṭhānāni vā sannipātikāni vā utupariṇāmajāni vā visamaparihārajāni vā opakkamikāni vā kammavipākajāni vā—tāni me na bahudeva uppajjanti. Appābādhohamasmi. ",
"an5.104:3.6": "catunnaṃ kho panasmi jhānānaṃ ābhicetasikānaṃ diṭṭhadhammasukhavihārānaṃ nikāmalābhī akicchalābhī akasiralābhī, ",
"an5.104:3.7": "āsavānaṃ khayā …pe… sacchikatvā upasampajja viharāmi. ",
"an5.104:4.1": "Yañhi taṃ, bhikkhave, sammā vadamāno vadeyya: ‘samaṇesu samaṇasukhumālo’ti, mameva taṃ, bhikkhave, sammā vadamāno vadeyya: ‘samaṇesu samaṇasukhumālo’”ti. ",
"an5.104:4.2": "Catutthaṃ. "
} |
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{"songs": [{"album": "Kingdom People", "image": "https://images.genius.com/88613def626e58194d33cae2db4c5764.600x600x1.jpg", "year": "2006-10-06", "title": "Houston We Have a Problem", "lyrics": "[Intro]\n\n[Verse 1]\nWe done came up in the game to rep the name, that\u2019s the norm\nNot your big body Lac, fat paper stacks, or your charm\nOr your ladylike diva you use to keep you warm\nAnd not the fat happy sack of doja to keep you calm\nWhile you big daddy grilling \u2018em, Sprewell spinning \u2018em\nCadillac killing \u2018em, the LORD ain\u2019t filling \u2018em\nSee He\u2019s the King and your rocks ain\u2019t worth a thing\nYet you rock the bling (bling), but you ain\u2019t gon' mock the King\nCause the rocks would sing before He let you block His thing\nMan just watch the scene (scene) because the Rock, He is the King\nAnd He's throwed, but you busy worshipping chrome\nThick yellow bones in the zone living life on your own\nAnd the Lord\u2019s chilling watching man trust himself\nWhile we all sinning, we front like we don\u2019t need His help\nBut we all missing the fact that trusting in yourself\nWhile you called Christian, is still sin in itself\n\n[Hook]\nHouston we have a, we, we have a, we have a problem 4x\n\n[Verse 2]\nNow you know that you should leave the streets, puffing sweets\nChasing cash from week to week, but you won\u2019t because you fiend to see your dreams\nOwning a house at that place where you can see the beach\nAnd easily get them girls that you can see that leave the beach\nSo she can be your stand for one night in between the sheets\nAnd then you leave, hop inside your 'Lac so you can peep the scene\nYou keep it clean gripping on your grain as you sip the lean\nSwinging mean, feeling like a pimp, brush your shoulders off\nYou can live like a boss, you can floss like a boss\nPay the cost to rep the North, rock a cross and still be lost\nCause without the Savior, no neighbor no paper\nNo Jacob no make-up could make up the break up, but make us forsake the Creator\nThat\u2019s why we need a Savior, that\u2019s why I\u2019m hollering out Jesus\nWe drowning in our sin and we need Him to come retrieve us\nBelieve us, it\u2019s time you stopped trusting in yourself\nPlus your wealth, lay aside every weight before you crush yourself\n\n[Hook]\n\n[Verse 3]\nSo meet the thesis for my reading, the bottom line is you need Him\nAnd plus we\u2019re weak and we feeling by nature to keep on leaving\nChasing beauty that\u2019s fleeting, forsaking how we are breathing\nReplacing Jesus with bondage, like boppers, dollars, and pieces\nHe died to bring us all freedom and rose so we could all meet Him\nI know you heard this on Easter, but feast your eyes on the reason\nGod would crucify His seeding when we ain\u2019t nothing but heathens\nLove made Him cling to a tree when we deserved to be beaten\nAll that so we ain\u2019t gotta trust ourself, trust our health\nTrust our wealth, it don\u2019t even make no sense cause it\u2019s gon' rust and melt\nIs it the grain, is it the gal, is it the grill\nOr is it Christ who paid the price so you could live\nOr would you rather burn up in hell for a meal\nI doubt it, you missing that Christians only Christians in Him\nAlthough we live forever, right now we living better\nCause if you ain\u2019t living by grace you\u2019ll die by the letter (already)\n\n[Hook]\n\n[Outro]"}], "artist": "Tedashii"} |
{"poster":"FeeI my Sting","date":"2016-02-14T18:00:33.120+0000","title":"League of Legends lässt sich nicht Downloaden","subforum":"Hilfe & Support","up_votes":1,"down_votes":1,"body":"Mein LoL hat nicht mehr funktioniert also hab ich versucht es zu deninstallieren und neu aufzuspielen leider lässt mich die Seite LoL garnicht erst downloaden ich wähle Windows 7 Euw aus und es fängt an zu laden und laden bis mein Brower sagt Zeitüberschreitung ich habe schon ein anderen Brower versucht und am Internet liegts auch nicht.\r\n\r\nBitte um Hilfe {{item:3070}}","replies":[{"poster":"Katowi","date":"2016-02-14T18:07:20.895+0000","up_votes":1,"down_votes":0,"body":"Dns Server ändern. Nicht den google nehmen der geht mometan nicht.\n\nhttp://boards.euw.leagueoflegends.com/de/c/hilfe-support-de/AQgEFE7e-mein-client-startet-seit-heute-nicht-mehr?show=flat&page=3\n\nhinten anfangen ... da steht ein vermutlicher Lösungsweg für dein Problem.","replies":[]}]} |
{"songs": [{"lyrics": "[Intro: Woman]\nLesson 2 : Gently place the balls into the mouth and\nHmmmmmmmmm..\n\n[Hook]\nGet it all baby\nGet it all baby\nGet it all baby\n(What you want me to do with it?)\nDon't matter just don't bite it\n(\"She swallowed it\")\nSuck this dick for daddy\n(\"She swallowed it\")\nJuicin' at the lips\n(\"She swallowed it\")\nIt's the world's biggest dick\n(What do you want me to do with it?)\nDon't matter just don't bite it\n\n[Verse 1: MC Ren]\nSlow is the tempo - now talkin' but a nympho\nSo peep it out here goes the info\nThis is a bitch that did the whole crew\nShe get it so much we make bets on who the ho would love to go through\nAnd for the shit that she does, give her a drum roll\nBecause the dumb bitch licks out the asshole\nAnd she'll let you videotape her\nAnd if you got a gang of niggas, the bitch would let you rape her\nShe likes suckin' on dicks, and lickin' up nut\nAnd they even take the broomstick up the butt\nJust to say that she did it with a rapper\nBut the pussy was more fishy than red snapper\n\"But how many licks would it take,\" she asks\n\"To make MC Ren start gooshin' up vanilla shakes?\"\nShe took her tongue out her mouth, put it on top\nLike a cherry, started movin' it like a snake and it was very irresistable\nI couldn't pay the bitch to quit\nCuz the ho' was doin' some ol' crazy shit\nThat made me start havin' a fit'\nCuz the bitch sucked a hellified dick [suck this dick]\n\n[Hook]\n\n[Verse 2: MC Ren]\nNow one night I was at a drive-in\nAnd a car full of niggas straight drove in\nI thought they wuz commin' to start trouble but no\nFive niggas in the bucket with the neighborhood ho'\nNow what do you expect they're gonna dogg her like a doggy\nThirty minutes later and the windowz all were foggy\nAnd I'm off in my car havin' a fit cuz the bitch that I'm with\nSaid no fuckin' on the first date, shit\nAnd I'm like Damn! I wish I was in the bucket\nTo be the sixth nigga with the ho' and I can fuck it\nSo I told the bitch I was with that I'm goin' to the snack bar\nAnd got the fuck out the car\nWent to the bucket and I looked through the window\nIt was some niggas that I knew they let me in yo\nAnd my turn was like next\nI couldn't see her face, all I saw was her pussy and her chest\nI wanted to see the face, I felt I oughtta\nPeep over the seat, Oh shit! It's the preacher's daughter!\nAnd she's only 14 and a ho'\nBut the bitch sucks dick like a specialized pro\nShe looked at me, I was surprised\nBut wasn't passin' up the chance of my dick gettin' baptized\nI told the bitch to do it quick\nYou little ho' hurry up and suck my dick!\n\n[Hook]\n\n[Verse 3: MC Ren]\nNow I'm a break it down with a fact\nSince the last \"Just don't bite it\" girls don't know how to act\nSayin' that they never would suck a dick\nBut when they've tried it they couldn't quit\nCuz ninety percent of the bitches today they love that shit\nAnd those are the main ones that say they don't do it\nBut MC Ren knows the bitches are used to it\nSo fellas, next time they try to tell a lie\nThat they never suck a dick, punch a bitch in the eye\nAnd then the ho' will fall to the ground\nThen you'll open up her mouth\nPut your dick in and move the shit around\nAnd she'll catch on and start doin' it on her own\nActin' like she's tryin' to suck the meat off a chicken bone\nAnd then she won't let go\nBecause bitches suck nut out of a dick just like Drano\nGet the last drop, unclogging the pipe\nThen the stupid bitch is out doing that same shit the next night\nBecause she just can't quit\nCuz she's addicted, addicted, she's addicted, addicted\nShe's addicted to suck a good dick\n\n[Hook]", "album": "Efil4zaggin", "year": "1991-05-28", "title": "She Swallowed It", "image": "https://images.genius.com/378262f83025b434fc5375a332bd1a1f.800x800x1.png"}], "artist": "N.W.A"} |
{"poster":"LeeSinToYaHeart","date":"2017-05-08T20:07:39.409+0000","title":"Plat Jungler sucht DuoQ","subforum":"Clans & Teams","up_votes":1,"down_votes":0,"body":"hi, \r\nsuche einen DuoQ Partner, meist von Nachmittags bis spät abends / nachts\r\n\r\nbin selber main jungler, würde es bevorzugen wenn ihr mid/top seid\r\n\r\nts sollte vorhanden sein.\r\neinfach adden :)","replies":[]} |
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"description": "",
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"scripts": {
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},
"author": "",
"license": "SEE LICENSE IN LICENSE",
"bugs": {
"url": "https://github.com/vn14234/roster-bot/issues"
},
"engines": {
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}
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{"id":116809,"date":"2020-09-16 15:38:32","description":null,"for":120,"against":533,"abstention":14,"plenary":3171488,"name":"Juan Fernando López Aguilar - Am 67","ref":"A9-0138/2020","created_by":null,"updated_by":null} |
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{
"type": "message",
"text": "Lol shit thats me",
"user": "U15HY5TG8",
"ts": "1500981031.806556"
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{
"type": "message",
"text": "Luckily my floors are cement though",
"user": "U15HY5TG8",
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{
"type": "message",
"text": "lol then work from home and play gay porn",
"user": "U15HRTAHL",
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{
"type": "message",
"text": "Lol",
"user": "U15HY5TG8",
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{"title": "Commentary: China remains major stabilizer of world economy\n", "time_author": " (Xinhua)\u00a0\u00a0\u00a0\u00a010:14, April 18, 2019\n", "content": ["\tBEIJING, April 17 (Xinhua) -- It's reassuring to the world that China's economy has managed to maintain its steady growth and will continue to serve as a major stabilizer for global growth.\n", "\tThe latest sign is that the world's second-largest economy expanded by 6.4 percent in the first quarter of 2019, the same reading as the fourth quarter of 2018, echoing the upbeat projections that the International Monetary Fund (IMF) announced earlier.\n", "\tWhile the IMF downgraded 2019 global growth forecast by 0.2 percentage points last week, it revised its projection for China to 6.3 percent, up 0.1 percentage point from its previous estimation in January.\n", "\tAs Changyong Rhee, director of the IMF's Asia and Pacific Department put it, China is expected to account for more than 30 percent of global growth this year.\n", "\tThe IMF's forecast is based on China's successful efforts to foster new driving forces of the economy, which could be better understood with a closer look at the latest data.\n", "\tA relatively weak industrial output in the first two months triggered concerns about a loss of momentum. However, the manufacturing sector bucked the trend of slowdown in March. The country's industrial output in March reported a record-high since July 2014.\n", "\tAs the main driver of China's economic growth, consumption also picked up its growth momentum compared to the previous two months, contributing 65.1 percent to Q1 economic growth. Online retail sales and consumption in rural areas were robust. With tax cut measures to take effect in the following months, further consumption potential is to be unleashed.\n", "\tTax cuts will also give an extra boost to private and smaller businesses, along with other measures including cutting the social security fees paid by companies, which were announced during this year's annual session of China's top legislature.\n", "\tThough it is tempting to release \"flood-like\" stimulus and achieve eye-catching economic growth, measures like tax cuts and fee reductions will provide a healthier and more sustainable recovery momentum.\n", "\tAs the Chinese government has set a target range of 6 to 6.5 percent economic growth for the whole year, it is unrealistic to expect a sharp rebound in China's economy in the short term.\n", "\tInstead, an improved economic structure will generate steadier growth against the backdrop of a global slowdown. The world can be relieved that China is on the right track."]} |
{"poster":"ACENOX","date":"2016-05-28T22:24:49.040+0000","title":"If League did a war with dota","subforum":"Memes & Games","up_votes":27,"down_votes":4,"body":"what would happen?who would lead league's army?\n\n https://www.youtube.com/watch?time_continue=90&v=8N9kQPFCQR8","replies":[{"poster":"Ahristocats","date":"2016-05-28T22:43:57.222+0000","up_votes":28,"down_votes":0,"body":"silencer: _Silence!_\nkassadin:_ Silen_---oh wait...","replies":[{"poster":"XeroKimo","date":"2016-05-29T01:36:02.333+0000","up_votes":11,"down_votes":0,"body":"{{champion:38}} I tried to ~~silence~~ interrupt my mother once, boy did I regret that","replies":[]}]},{"poster":"archerno1","date":"2016-05-28T22:31:46.518+0000","up_votes":13,"down_votes":2,"body":"Teemo. He is captain","replies":[{"poster":"ACENOX","date":"2016-05-28T22:37:39.476+0000","up_votes":8,"down_votes":0,"body":"> [{quoted}](name=archerno1,realm=EUNE,application-id=Ir7ZrJjF,discussion-id=oXgTVyQw,comment-id=0000,timestamp=2016-05-28T22:31:46.518+0000)\n>\n> Teemo. He is captain\n\nCaptains are inferior to generals !!!","replies":[{"poster":"Skelenth","date":"2016-05-28T22:50:06.880+0000","up_votes":9,"down_votes":0,"body":"Generals are inferior to Grand-Generals!","replies":[{"poster":"D357R0Y3R","date":"2016-05-28T22:52:49.455+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Skelenth,realm=EUW,application-id=Ir7ZrJjF,discussion-id=oXgTVyQw,comment-id=000000000000,timestamp=2016-05-28T22:50:06.880+0000)\n>\n> Generals are inferior to Grand-Generals!\n\nwho is league's grand general? i assume it would be xerath since he is a god.","replies":[{"poster":"Skelenth","date":"2016-05-28T22:55:50.752+0000","up_votes":9,"down_votes":0,"body":"Swain is the Grand-General of Noxus. It's the leaders title","replies":[]},{"poster":"UltimateDiscord","date":"2016-05-28T22:56:51.720+0000","up_votes":2,"down_votes":0,"body":"> [{quoted}](name=D357R0Y3R,realm=EUW,application-id=Ir7ZrJjF,discussion-id=oXgTVyQw,comment-id=0000000000000000,timestamp=2016-05-28T22:52:49.455+0000)\n>\n> who is league's grand general? i assume it would be xerath since he is a god.\n\nSwain","replies":[]}]},{"poster":"macromite","date":"2016-05-29T00:32:31.849+0000","up_votes":1,"down_votes":0,"body":"grand generals are inferior to gods.","replies":[{"poster":"Sonicblaster33","date":"2016-05-29T05:11:02.879+0000","up_votes":4,"down_votes":0,"body":"{{champion:136}} you rang?","replies":[]},{"poster":"Kuroi86","date":"2016-05-29T05:15:31.810+0000","up_votes":3,"down_votes":0,"body":"{{champion:136}} Pardon?","replies":[]}]}]}]}]},{"poster":"Canidae","date":"2016-05-29T05:09:56.669+0000","up_votes":10,"down_votes":0,"body":"League Champions have this overpowered ability to....MAKE 180 DEGREE TURNS without the equivalent of a mini ping-spike occuring.\n\nThis mechanic is insanely broken.","replies":[{"poster":"macromite","date":"2016-05-29T07:49:02.471+0000","up_votes":5,"down_votes":0,"body":"they would win off of that, literally making circles around the enemy. holy shit kat, appearing behind enemies.","replies":[{"poster":"Crowe Stalker","date":"2016-05-29T10:32:18.384+0000","up_votes":3,"down_votes":0,"body":"{{champion:84}} just ults every time they finish turning around and pretty much anyone with a dash just runs behind them and then dashes behind when they turn around like... Hot damn.\n\n{{champion:114}} {{champion:245}} {{champion:84}} {{champion:105}} {{champion:429}} {{champion:236}} **Zero Counterplay GG No Re.**","replies":[{"poster":"Ahristocats","date":"2016-05-29T10:56:13.511+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Jhin n Tonix,realm=NA,application-id=Ir7ZrJjF,discussion-id=oXgTVyQw,comment-id=000b00000000,timestamp=2016-05-29T10:32:18.384+0000)\n> {{champion:114}} {{champion:245}} {{champion:84}} {{champion:105}} {{champion:429}} {{champion:236}} **Zero Counterplay GG No Re.**\n\nhuh, shallow grave from dazzle is a tryndamere ulti on allies","replies":[{"poster":"macromite","date":"2016-05-29T14:36:07.955+0000","up_votes":2,"down_votes":0,"body":"great, they can stay alive just to get kited more.","replies":[{"poster":"KONO RUBICK DA","date":"2016-05-29T17:15:39.676+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=macromite,realm=NA,application-id=Ir7ZrJjF,discussion-id=oXgTVyQw,comment-id=000b0000000000000000,timestamp=2016-05-29T14:36:07.955+0000)\n>\n> great, they can stay alive just to get kited more.\n\nYou're right, but the fucker named bloodseeker prevents you from moving.","replies":[{"poster":"macromite","date":"2016-05-29T17:24:33.780+0000","up_votes":2,"down_votes":0,"body":"I can think of two characters that would put him on his knees.{{champion:266}} {{champion:8}} \n\nout healing your nonsense and still kiting.","replies":[]}]}]}]},{"poster":"SkyBlade79","date":"2016-05-29T20:14:56.492+0000","up_votes":1,"down_votes":0,"body":"Don't forget Shaco","replies":[{"poster":"Crowe Stalker","date":"2016-05-30T13:33:47.815+0000","up_votes":1,"down_votes":0,"body":"Crap I totally forgot-\n{{champion:35}} Right here, Summoner!\n*An ally has been slain!*","replies":[]}]}]}]}]},{"poster":"Lord Galvatron","date":"2016-05-28T23:56:13.044+0000","up_votes":7,"down_votes":0,"body":"If that would ever occur (in game NOT lore based), Dota would completely obliterate League. I have no more love for Dota then League, but Dota is literally built around completely overpowered heroes. Take Phantom lancer or Medusa for example.","replies":[{"poster":"macromite","date":"2016-05-29T00:34:20.877+0000","up_votes":1,"down_votes":0,"body":"you could make the argument that dota heroes are weaker because it's easier to stomp over them.","replies":[{"poster":"Lord Galvatron","date":"2016-05-29T00:46:57.329+0000","up_votes":7,"down_votes":0,"body":"Other Dota champions are able to stomp them because most (if not all) have such overloaded abilities and damage that would be unheard of in League. Medusa for example is made to literally 1v5 in a fight. Or Lich King who can revive himself multiple times in quick succession. You don't have a League equivalency for that kind of thing.","replies":[{"poster":"macromite","date":"2016-05-29T01:03:01.473+0000","up_votes":2,"down_votes":1,"body":"you could easily say that they can do those things easily because their enemies are weaker.","replies":[{"poster":"Lord Galvatron","date":"2016-05-29T01:09:02.026+0000","up_votes":4,"down_votes":0,"body":"I'm not sure what you are trying to say. I said that they have abilities and kits that make them more powerful, why would they be weaker?","replies":[{"poster":"Ralimak","date":"2016-05-29T02:20:28.354+0000","up_votes":7,"down_votes":1,"body":"A german shepherd can't necessarily stomp over another german shepherd. Does that make a german shepherd weaker than the tarantula which can stomp over a cockroach?","replies":[{"poster":"Biff Manly","date":"2016-05-29T02:47:08.605+0000","up_votes":6,"down_votes":0,"body":"Are you on the drugs?","replies":[{"poster":"Ralimak","date":"2016-05-29T16:49:26.732+0000","up_votes":3,"down_votes":0,"body":"It's a metaphor. The german shepherds can represent league champions - relatively similar in strength, so most don't seem completely op where they can annihilate each other - and the tarantula and cockroach can represent dota heroes - some are obviously immensely more powerful than others and can destroy each other easily.\n\nThis may make it seem like dota heroes are stronger than league champions because of how op some heroes are compared to others, but that doesn't actually mean anything since they aren't ever fighting league champions. They could be a lot weaker than league champions.\n\nOr vice versa. You can't compare them based off of how each group does against themselves.","replies":[]}]},{"poster":"CeexSett","date":"2016-05-29T09:47:14.155+0000","up_votes":4,"down_votes":0,"body":"Duuuuuuuuuuuuuuude....","replies":[]}]}]}]},{"poster":"SunriseSkaterKid","date":"2016-05-30T03:53:20.903+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Goon Platoon,realm=NA,application-id=Ir7ZrJjF,discussion-id=oXgTVyQw,comment-id=000600000000,timestamp=2016-05-29T00:46:57.329+0000)\n>\n> Other Dota champions are able to stomp them because most (if not all) have such overloaded abilities and damage that would be unheard of in League. Medusa for example is made to literally 1v5 in a fight. Or Lich King who can revive himself multiple times in quick succession. You don't have a League equivalency for that kind of thing.\n\nWhich is hilarious because their kits are so overloaded that the game _FEELS_ balanced. Meanwhile league has like 8 OP champs that just are overloaded and poop on everyone else.","replies":[]}]}]},{"poster":"Jet Sett","date":"2016-05-29T01:10:48.657+0000","up_votes":2,"down_votes":0,"body":"Never forget Faceless Void, he can 1v1 any champ in league","replies":[]}]},{"poster":"Kuzja1","date":"2016-05-28T22:39:46.470+0000","up_votes":6,"down_votes":0,"body":"Corki vs Gyrocopter, Dog Fight!","replies":[]},{"poster":"TheTarians","date":"2016-05-29T02:32:51.737+0000","up_votes":7,"down_votes":1,"body":"Ok, so if we are speaking from a lore perspective, then League wins over Dota every day. The most powerful character in Dota, Lore Wise,(If I am correct) is Zeus. Zeus is only the god of Lightning and his domain is only Earth. While the most powerful character in League is Aurellion Sol, who is basically the god of the universe. I mean it says that he was born with the first breath of creation. And lore wise, League characters are much more than anything that Dota has. League characters are gods, they are interdimensional beings, they are the last of their kind, they are ascended, and they are much more powerful in lore. Then of course we have Teemo.\n\nIf we are talking about Gameplay wise, Dota would probably win, just due to their kits being much more overpowered and overloaded. To the point where some characters in Dota are meant to 1 v 5 the enemy team. *Cough* Wraith King, Medusa, Faceless Void, Huskar, Axe, Brewmaster, Phantom Assassin, Phantom Lancer.*Cough* (And that's all I can think of off the top of my head).","replies":[{"poster":"Crowe Stalker","date":"2016-05-29T10:33:13.226+0000","up_votes":5,"down_votes":0,"body":"You forgot {{champion:203}} **the literal incarnation of Death** as a Lore Win for League.","replies":[]},{"poster":"KONO RUBICK DA","date":"2016-05-29T19:13:17.588+0000","up_votes":4,"down_votes":0,"body":"\nBe aware that enigma can eat entier planets from what his lore says.","replies":[]},{"poster":"Bemapon","date":"2016-05-29T18:33:24.746+0000","up_votes":4,"down_votes":1,"body":"Nah Io is strongest.\n\nHis lore:\n\nIo is everywhere, and in all things. Denounced by enemies as the great unmaker, worshiped by scholars as the twinkling of a divine eye, Io occupies all planes at once, the merest fraction of its being crossing into physical existence at any one moment. \n\nLike the great twin riders Dark and Light, and yet another ancient traveler whose true history is lost to the ages, Io the Wisp is a Fundamental of the universe—a force older than time, a wanderer from realms far beyond mortal understanding. Io is nothing less than the sum of all attractive and repulsive forces within matter, a sentient manifestation of the charge that bind particles together. It is only in the controlled warping of these forces that Io’s presence can be experienced on the physical plane. A benevolent, cooperative force, Io bonds its strength to others so that the power of allies might be enhanced. Its motives inscrutable, its strength unimaginable, Io moves through the physical plane, the perfect expression of the mysteries of the universe.","replies":[]}]},{"poster":"CeexSett","date":"2016-05-29T09:49:48.295+0000","up_votes":4,"down_votes":0,"body":"The DOTA crew would lose because they would spend all the time trying to eat the trees.","replies":[]},{"poster":"Miss Luxanna","date":"2016-05-29T05:14:30.372+0000","up_votes":4,"down_votes":0,"body":"The factions would probably become separate little groups, if we're looking at it from a lore perspective. The Freljord would be 2 or 3 little groups. Demacia and Noxus of course. However, Demacia, Piltover and Bandle City might form one big tribe considering Poppy and Heimerdinger. Shurmia has Azir who can raise up sand soliders. (am i looking at this too hard?)","replies":[{"poster":"doublelift fg","date":"2016-05-29T09:06:27.524+0000","up_votes":2,"down_votes":0,"body":"> [{quoted}](name=Lux de Demacia,realm=NA,application-id=Ir7ZrJjF,discussion-id=oXgTVyQw,comment-id=000c,timestamp=2016-05-29T05:14:30.372+0000)\n>\n> The factions would probably become separate little groups, if we're looking at it from a lore perspective. The Freljord would be 2 or 3 little groups. Demacia and Noxus of course. However, Demacia, Piltover and Bandle City might form one big tribe considering Poppy and Heimerdinger. Shurmia has Azir who can raise up sand soliders. (am i looking at this too hard?)\n\nlol, azir can raise an entier army by himself","replies":[{"poster":"Crowe Stalker","date":"2016-05-29T10:24:26.408+0000","up_votes":1,"down_votes":0,"body":"If we go by Lore, {{champion:136}} would literally just crush the star of the DoTA World... Then again, that just means Outworld Devourer is pissed and Night Stalker now has an entire world to occupy and create a new species on.","replies":[{"poster":"Ahristocats","date":"2016-05-29T10:32:02.725+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Jhin n Tonix,realm=NA,application-id=Ir7ZrJjF,discussion-id=oXgTVyQw,comment-id=000c00000000,timestamp=2016-05-29T10:24:26.408+0000)\n>\n> If we go by Lore, {{champion:136}} would literally just crush the star of the DoTA World... Then again, that just means Outerworld Devourer is pissed and Night Stalker now has an entire world to occupy and create a new species on.\n\nRubick the grand magus, his lore is saying \"Inside the magic maelstrom, Rubick chuckled, subtly reading and replicating the powers of one in order to cast it against another, sowing chaos among those who had allied against him. \", rubick is able to read every move this explains why his ulti is spell steal. \"No sorcery lies beyond my grasp.\"- Rubick","replies":[{"poster":"Crowe Stalker","date":"2016-05-29T14:21:39.433+0000","up_votes":2,"down_votes":0,"body":"https://youtu.be/CAAnY_L4Pp4?t=41s \nThe Forming of a Star might be magic, but the Crushing of it certainly doesn't look like it.","replies":[]}]}]}]}]},{"poster":"Lowvyr","date":"2016-05-29T02:15:53.383+0000","up_votes":4,"down_votes":0,"body":"Correct me if I'm wrong here, but isn't the design idea behind Dota2 \"If everyone is overpowered, no one is\"?","replies":[{"poster":"Battlecast Sona","date":"2016-05-29T02:52:06.957+0000","up_votes":2,"down_votes":0,"body":"well yeah, because your ultimate doing 900 true damage to me is NBD if I can just come back to life. \n\nIt also helps that in DotA2 there are A LOT more items, so there's a lot more itemization options against different kinds of comps.","replies":[]}]},{"poster":"Sahn Uzal","date":"2016-05-29T11:24:20.585+0000","up_votes":3,"down_votes":0,"body":"Idk how strong Dota characters are lore-wise...\nBut the fact that {{champion:136}} exists makes me think it'll be a onesided fight","replies":[{"poster":"Meep Man","date":"2016-05-29T16:19:44.774+0000","up_votes":3,"down_votes":0,"body":"Dota characters are off the chain insane dude.\n\nWeaver creates entire existences and universes. He is effectively a god. He creates the beings that create the stars.\nChaos Knight is the very essence of chaos. He has an infinite number of himselves, or at least as many as there are dimensions. For every dimension, he can summon a copy of himself.\nIo is a being that connects all living things. It is the essence of magnetism and attraction, meaning it controls matter to a level.\nEnigma can eat matter and summon black holes as well as devolve beings to the simplest state possible. Last time I checked, black holes beat stars.\nDoom is the devil itself. Nuff said.\nAncient Apparition can freeze anything to absolute zero, meaning all matter does not move in any way, shape, or form. Any heat that touches it is instantly brought to absolute zero as well. Nothing can get near it without freezing. It's so cold that light particles would freeze around it.\n\nDota characters are absolutely bonkers lore-wise. If Dota and League were to fight on lore-wise power levels, Dota would rip League's heart out.","replies":[{"poster":"macromite","date":"2016-05-29T17:38:51.624+0000","up_votes":1,"down_votes":0,"body":"you would think that, until you realize just how powerful the champion are.\n\nweaver makes dimensions, aurelion did that to by making the entire universe.\nchaos knight is the very essence of chaos, fiddles is the very essence of fear\nlo connects all beings, tahm connects all lands.\nenigma can eat matter summon black holes and devolve things, but you can't eat, destroy, or devolve nocturnes nightmare\ndoom is the devil, but what is a devil to illaoi's god\nthe ancient apparition can freeze things sure, but we already know how capable league champions are when it comes to that. nunu of course being the one that can also freeze things down to absolute zero.\n\nDota heroes seem strong, until you realize just what they are dealing with.","replies":[{"poster":"Meep Man","date":"2016-05-29T18:22:45.463+0000","up_votes":3,"down_votes":0,"body":"I don't think I quite fully explained myself.\n\nWeaver could create Aurelion Sol.\nYou have a fair point with Chaos Knight, although Fiddlesticks is a little bit outdated as far as what he is right now.\nTahm doesn't connect all lands. He is just a cross roads demon that preys on the innocent.\nDoom is vague, so I'm not entirely sure how powerful he is exactly. Naga could definitely be stronger.\nThe difference between Ancient Apparition is he does it without even trying. Things just freeze around him and he can do it on an extremely long range scale if he tries. Nunu has to both focus and channel to bring things around him to absolute zero, and only temporarily.\n\nThe main one here is Weaver. Weaver isn't limited to creating one dimension nor is he limited by anything. Weaver is limitless and could destroy dimensions other weavers were not protecting them. Plus, Weaver can reverse time and space. Imagine Aurelion Sol, plus Bard, plus Ekko and increase that power a bit, and you get Weaver. Plus, Weaver is not shackled. He is not enslaved at all. He is completely free to do anything he wants as long as he doesn't meddle in the dimensions of another weaver. Aurelion Sol does not have such freedom. He was enslaved by Targon through a trick. If this happened to Weaver, he would simply reverse time and space to make it to where this never happened. If he came close to losing against Aurelion Sol, boop. Not anymore. That's why Weaver is so stupid in his lore. He creates dimenions, reverses time and space, and is completely free to do whatever he wants as long as it doesn't mess with another weaver. That is insane lore power. The only being in League that comes close to this is Bard, who can traverse dimensions and manipulate matter. However, to my knowledge, he cannot go through time and he cannot create dimensions, so Weaver outclasses him.\n\nAlso Enigma controls anti-matter and I am almost sure that he never sleeps or dreams at all. Nocturne can die. Enigma can too, but a simple shade of a nightmare like Nocturne is a little bit small compared to Enigma. Going beyond all that as well, Enigma is a super clever bastard. He has created false lore about himself so that he can steal whatever he finds from those who seek him if he fidns them to be remotely powerful. Nocturne could track Enigma, find him, but then it wouldn't go down well for Nocturne since Enigma cannot be bound nor can he be attacked physically or mentally. The only way to kill him is to completely obliterate him and destroy all anti-matter in the universe. That is something that even Weaver would have a hard time doing since anti-matter is not limited to one dimension, but all dimensions.\n\nI'm sorry but, the same goes for League. You read into the League lore and think, \"Wow, this is unstoppable,\" and then read Dota lore and things are just stupid. It's lore is so full of beings almost beyond or equal to the power of a god that, until we get a lot more Aurelion Sols in League, there isn't much chance of a win for the League army if we go by lore power.","replies":[]}]},{"poster":"Sahn Uzal","date":"2016-05-29T16:24:09.219+0000","up_votes":1,"down_votes":0,"body":"> Idk how strong Dota characters are lore-wise...\n\nMentioned that for a good reason :P","replies":[{"poster":"Meep Man","date":"2016-05-29T18:14:52.078+0000","up_votes":2,"down_votes":0,"body":"I know, I was telling how powerful they were so you would know","replies":[]}]}]}]}]} |
{"pmid":32238024,"title":"A case of imported COVID-19 diagnosed by PCR-positive lower respiratory specimen but with PCR-negative throat swabs.","text":["A case of imported COVID-19 diagnosed by PCR-positive lower respiratory specimen but with PCR-negative throat swabs.","A 35-year-old woman presented with fever and mild diarrhoea without any respiratory symptoms 9 days after travelling to Japan from Wuhan, China. Her computed tomography scan revealed pneumonia. The first polymerase chain reaction (PCR) test on throat swab for the novel corona virus upon admission was negative. Therefore, she was treated for community-acquired pneumonia, but fever persisted. On hospital day 5, PCR test on induced sputum was positive, but a second polymerase chain reaction test on throat swab remained negative. She was discharged, fully recovered, on hospital day 12. A lower respiratory tract specimen should be obtained for better diagnosis of corona virus disease 2019, even in the absence of respiratory symptoms for patients with significant travel or exposure history.","Infect Dis (Lond)","Hase, Ryota","Kurita, Takashi","Muranaka, Emiri","Sasazawa, Hiroki","Mito, Haruki","Yano, Yudai","32238024"],"abstract":["A 35-year-old woman presented with fever and mild diarrhoea without any respiratory symptoms 9 days after travelling to Japan from Wuhan, China. Her computed tomography scan revealed pneumonia. The first polymerase chain reaction (PCR) test on throat swab for the novel corona virus upon admission was negative. Therefore, she was treated for community-acquired pneumonia, but fever persisted. On hospital day 5, PCR test on induced sputum was positive, but a second polymerase chain reaction test on throat swab remained negative. She was discharged, fully recovered, on hospital day 12. A lower respiratory tract specimen should be obtained for better diagnosis of corona virus disease 2019, even in the absence of respiratory symptoms for patients with significant travel or exposure history."],"journal":"Infect Dis (Lond)","authors":["Hase, Ryota","Kurita, Takashi","Muranaka, Emiri","Sasazawa, Hiroki","Mito, Haruki","Yano, Yudai"],"date":"2020-04-03T11:00:00Z","year":2020,"_id":"32238024","week":"202014|Mar 30 - Apr 05","doi":"10.1080/23744235.2020.1744711","keywords":["Coronavirus disease 2019 (COVID-19)","real-time reverse transcription-polymerase chain reaction (RT-PCR) assay","the novel corona virus (SARS-CoV-2)"],"source":"PubMed","locations":["China","Japan","Wuhan"],"countries":["China","Japan"],"countries_codes":["CHN|China","JPN|Japan"],"topics":["Case Report"],"weight":1,"_version_":1662996001884995584,"score":7.6048946,"similar":[{"pmid":32238223,"title":"Case Report: Walking Pneumonia in Novel Coronavirus Disease (COVID-19): Mild Symptoms with Marked Abnormalities on Chest Imaging.","text":["Case Report: Walking Pneumonia in Novel Coronavirus Disease (COVID-19): Mild Symptoms with Marked Abnormalities on Chest Imaging.","This case report underlines the appearance of a \"walking pneumonia\" in a novel coronavirus disease (COVID-19) patient, with evidence of progressive lung involvement on chest imaging studies. The patient traveled from Wuhan, Hubei, China, to Thailand in January 2020. One of her family members was diagnosed with COVID-19. She presented to the hospital because of her concern, but she was without fever or any respiratory symptoms. Three days earlier, her nasopharyngeal and throat swabs revealed a negative severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test by real-time reverse transcriptase polymerase chain reaction (RT-PCR). Her initial chest radiography was abnormal, and her first sputum SARS-CoV-2 test yielded inconclusive results. A subsequent sputum test was positive for SARS-CoV-2. Diagnosis in this patient was facilitated by chest imaging and repeat viral testing. Thus, chest imaging studies might enhance capabilities for early diagnosis of COVID-19 pneumonia.","Am J Trop Med Hyg","Sivakorn, Chaisith","Luvira, Viravarn","Muangnoicharoen, Sant","Piroonamornpun, Pittaya","Ouppapong, Tharawit","Mungaomklang, Anek","Iamsirithaworn, Sopon","32238223"],"abstract":["This case report underlines the appearance of a \"walking pneumonia\" in a novel coronavirus disease (COVID-19) patient, with evidence of progressive lung involvement on chest imaging studies. The patient traveled from Wuhan, Hubei, China, to Thailand in January 2020. One of her family members was diagnosed with COVID-19. She presented to the hospital because of her concern, but she was without fever or any respiratory symptoms. Three days earlier, her nasopharyngeal and throat swabs revealed a negative severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test by real-time reverse transcriptase polymerase chain reaction (RT-PCR). Her initial chest radiography was abnormal, and her first sputum SARS-CoV-2 test yielded inconclusive results. A subsequent sputum test was positive for SARS-CoV-2. Diagnosis in this patient was facilitated by chest imaging and repeat viral testing. Thus, chest imaging studies might enhance capabilities for early diagnosis of COVID-19 pneumonia."],"journal":"Am J Trop Med Hyg","authors":["Sivakorn, Chaisith","Luvira, Viravarn","Muangnoicharoen, Sant","Piroonamornpun, Pittaya","Ouppapong, Tharawit","Mungaomklang, Anek","Iamsirithaworn, Sopon"],"date":"2020-04-03T11:00:00Z","year":2020,"_id":"32238223","week":"202014|Mar 30 - Apr 05","doi":"10.4269/ajtmh.20-0203","source":"PubMed","locations":["China","Thailand","Wuhan","Hubei"],"countries":["China","Thailand"],"countries_codes":["CHN|China","THA|Thailand"],"topics":["Case Report"],"weight":1,"_version_":1662996001639628800,"score":353.3525},{"pmid":32229322,"title":"Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?","text":["Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?","PURPOSE: To evaluate the diagnostic value of computed tomography (CT) and real-time reverse-transcriptase-polymerase chain reaction (rRT-PCR) for COVID-19 pneumonia. METHODS: This retrospective study included all patients with COVID-19 pneumonia suspicion, who were examined by both CT and rRT-PCR at initial presentation. The sensitivities of both tests were then compared. For patients with a final confirmed diagnosis, clinical and laboratory data, in addition to CT imaging findings were evaluated. RESULTS: A total of 36 patients were finally diagnosed with COVID-19 pneumonia. Thirty-five patients had abnormal CT findings at presentation, whereas one patient had a normal CT. Using rRT-PCR, 30 patients were tested positive, with 6 cases initially missed. Amongst these 6 patients, 3 became positive in the second rRT-PCR assay(after 2 days, 2 days and 3 days respectively), and the other 3 became positive only in the third round of rRT-PCR tests(after 5 days, 6 days and 8 days respectively). At presentation, CT sensitivity was therefore 97.2%, whereas the sensitivity of initial rRT-PCR was only 83.3%. CONCLUSION: rRT-PCR may produce initial false negative results. We suggest that patients with typical CT findings but negative rRT-PCR results should be isolated, and rRT-PCR should be repeated to avoid misdiagnosis.","Eur J Radiol","Long, Chunqin","Xu, Huaxiang","Shen, Qinglin","Zhang, Xianghai","Fan, Bing","Wang, Chuanhong","Zeng, Bingliang","Li, Zicong","Li, Xiaofen","Li, Honglu","32229322"],"abstract":["PURPOSE: To evaluate the diagnostic value of computed tomography (CT) and real-time reverse-transcriptase-polymerase chain reaction (rRT-PCR) for COVID-19 pneumonia. METHODS: This retrospective study included all patients with COVID-19 pneumonia suspicion, who were examined by both CT and rRT-PCR at initial presentation. The sensitivities of both tests were then compared. For patients with a final confirmed diagnosis, clinical and laboratory data, in addition to CT imaging findings were evaluated. RESULTS: A total of 36 patients were finally diagnosed with COVID-19 pneumonia. Thirty-five patients had abnormal CT findings at presentation, whereas one patient had a normal CT. Using rRT-PCR, 30 patients were tested positive, with 6 cases initially missed. Amongst these 6 patients, 3 became positive in the second rRT-PCR assay(after 2 days, 2 days and 3 days respectively), and the other 3 became positive only in the third round of rRT-PCR tests(after 5 days, 6 days and 8 days respectively). At presentation, CT sensitivity was therefore 97.2%, whereas the sensitivity of initial rRT-PCR was only 83.3%. CONCLUSION: rRT-PCR may produce initial false negative results. We suggest that patients with typical CT findings but negative rRT-PCR results should be isolated, and rRT-PCR should be repeated to avoid misdiagnosis."],"journal":"Eur J Radiol","authors":["Long, Chunqin","Xu, Huaxiang","Shen, Qinglin","Zhang, Xianghai","Fan, Bing","Wang, Chuanhong","Zeng, Bingliang","Li, Zicong","Li, Xiaofen","Li, Honglu"],"date":"2020-04-02T11:00:00Z","year":2020,"_id":"32229322","week":"202014|Mar 30 - Apr 05","doi":"10.1016/j.ejrad.2020.108961","keywords":["Coronavirus","Pneumonia","Severe Acute Respiratory Syndrome","Tomography","X-Ray Computed"],"source":"PubMed","topics":["Diagnosis"],"weight":1,"_version_":1662899337761390592,"score":287.39984},{"pmid":32049601,"title":"Chest CT for Typical 2019-nCoV Pneumonia: Relationship to Negative RT-PCR Testing.","text":["Chest CT for Typical 2019-nCoV Pneumonia: Relationship to Negative RT-PCR Testing.","Some patients with positive chest CT findings may present with negative results of real time reverse-transcription-polymerase chain- reaction (RT-PCR) for 2019 novel coronavirus (2019-nCoV). In this report, we present chest CT findings from five patients with 2019-nCoV infection who had initial negative RT-PCR results. All five patients had typical imaging findings, including ground-glass opacity (GGO) (5 patients) and/or mixed GGO and mixed consolidation (2 patients). After isolation for presumed 2019-nCoV pneumonia, all patients were eventually confirmed with 2019-nCoV infection by repeated swab tests. A combination of repeated swab tests and CT scanning may be helpful when for individuals with high clinical suspicion of nCoV infection but negative RT-PCR screening.","Radiology","Xie, Xingzhi","Zhong, Zheng","Zhao, Wei","Zheng, Chao","Wang, Fei","Liu, Jun","32049601"],"abstract":["Some patients with positive chest CT findings may present with negative results of real time reverse-transcription-polymerase chain- reaction (RT-PCR) for 2019 novel coronavirus (2019-nCoV). In this report, we present chest CT findings from five patients with 2019-nCoV infection who had initial negative RT-PCR results. All five patients had typical imaging findings, including ground-glass opacity (GGO) (5 patients) and/or mixed GGO and mixed consolidation (2 patients). After isolation for presumed 2019-nCoV pneumonia, all patients were eventually confirmed with 2019-nCoV infection by repeated swab tests. A combination of repeated swab tests and CT scanning may be helpful when for individuals with high clinical suspicion of nCoV infection but negative RT-PCR screening."],"journal":"Radiology","authors":["Xie, Xingzhi","Zhong, Zheng","Zhao, Wei","Zheng, Chao","Wang, Fei","Liu, Jun"],"date":"2020-02-13T11:00:00Z","year":2020,"_id":"32049601","week":"20207|Feb 10 - Feb 16","doi":"10.1148/radiol.2020200343","source":"PubMed","topics":["Diagnosis"],"weight":1,"_version_":1662334544516218881,"score":277.1207},{"pmid":32118639,"title":"Persistence and clearance of viral RNA in 2019 novel coronavirus disease rehabilitation patients.","text":["Persistence and clearance of viral RNA in 2019 novel coronavirus disease rehabilitation patients.","BACKGROUND: A patient's infectivity is determined by the presence of the virus in different body fluids, secretions, and excreta. The persistence and clearance of viral RNA from different specimens of patients with 2019 novel coronavirus disease (COVID-19) remain unclear. This study analyzed the clearance time and factors influencing 2019 novel coronavirus (2019-nCoV) RNA in different samples from patients with COVID-19, providing further evidence to improve the management of patients during convalescence. METHODS: The clinical data and laboratory test results of convalescent patients with COVID-19 who were admitted to from January 20, 2020 to February 10, 2020 were collected retrospectively. The reverse transcription polymerase chain reaction (RT-PCR) results for patients' oropharyngeal swab, stool, urine, and serum samples were collected and analyzed. Convalescent patients refer to recovered non-febrile patients without respiratory symptoms who had two successive (minimum 24 h sampling interval) negative RT-PCR results for viral RNA from oropharyngeal swabs. The effects of cluster of differentiation 4 (CD4)+ T lymphocytes, inflammatory indicators, and glucocorticoid treatment on viral nucleic acid clearance were analyzed. RESULTS: In the 292 confirmed cases, 66 patients recovered after treatment and were included in our study. In total, 28 (42.4%) women and 38 men (57.6%) with a median age of 44.0 (34.0-62.0) years were analyzed. After in-hospital treatment, patients' inflammatory indicators decreased with improved clinical condition. The median time from the onset of symptoms to first negative RT-PCR results for oropharyngeal swabs in convalescent patients was 9.5 (6.0-11.0) days. By February 10, 2020, 11 convalescent patients (16.7%) still tested positive for viral RNA from stool specimens and the other 55 patients' stool specimens were negative for 2019-nCoV following a median duration of 11.0 (9.0-16.0) days after symptom onset. Among these 55 patients, 43 had a longer duration until stool specimens were negative for viral RNA than for throat swabs, with a median delay of 2.0 (1.0-4.0) days. Results for only four (6.9%) urine samples were positive for viral nucleic acid out of 58 cases; viral RNA was still present in three patients' urine specimens after throat swabs were negative. Using a multiple linear regression model (F = 2.669, P = 0.044, and adjusted R = 0.122), the analysis showed that the CD4+ T lymphocyte count may help predict the duration of viral RNA detection in patients' stools (t = -2.699, P = 0.010). The duration of viral RNA detection from oropharyngeal swabs and fecal samples in the glucocorticoid treatment group was longer than that in the non-glucocorticoid treatment group (15 days vs. 8.0 days, respectively; t = 2.550, P = 0.013) and the duration of viral RNA detection in fecal samples in the glucocorticoid treatment group was longer than that in the non-glucocorticoid treatment group (20 days vs. 11 days, respectively; t = 4.631, P < 0.001). There was no statistically significant difference in inflammatory indicators between patients with positive fecal viral RNA test results and those with negative results (P > 0.05). CONCLUSIONS: In brief, as the clearance of viral RNA in patients' stools was delayed compared to that in oropharyngeal swabs, it is important to identify viral RNA in feces during convalescence. Because of the delayed clearance of viral RNA in the glucocorticoid treatment group, glucocorticoids are not recommended in the treatment of COVID-19, especially for mild disease. The duration of RNA detection may relate to host cell immunity.","Chin Med J (Engl)","Ling, Yun","Xu, Shui-Bao","Lin, Yi-Xiao","Tian, Di","Zhu, Zhao-Qin","Dai, Fa-Hui","Wu, Fan","Song, Zhi-Gang","Huang, Wei","Chen, Jun","Hu, Bi-Jie","Wang, Sheng","Mao, En-Qiang","Zhu, Lei","Zhang, Wen-Hong","Lu, Hong-Zhou","32118639"],"abstract":["BACKGROUND: A patient's infectivity is determined by the presence of the virus in different body fluids, secretions, and excreta. The persistence and clearance of viral RNA from different specimens of patients with 2019 novel coronavirus disease (COVID-19) remain unclear. This study analyzed the clearance time and factors influencing 2019 novel coronavirus (2019-nCoV) RNA in different samples from patients with COVID-19, providing further evidence to improve the management of patients during convalescence. METHODS: The clinical data and laboratory test results of convalescent patients with COVID-19 who were admitted to from January 20, 2020 to February 10, 2020 were collected retrospectively. The reverse transcription polymerase chain reaction (RT-PCR) results for patients' oropharyngeal swab, stool, urine, and serum samples were collected and analyzed. Convalescent patients refer to recovered non-febrile patients without respiratory symptoms who had two successive (minimum 24 h sampling interval) negative RT-PCR results for viral RNA from oropharyngeal swabs. The effects of cluster of differentiation 4 (CD4)+ T lymphocytes, inflammatory indicators, and glucocorticoid treatment on viral nucleic acid clearance were analyzed. RESULTS: In the 292 confirmed cases, 66 patients recovered after treatment and were included in our study. In total, 28 (42.4%) women and 38 men (57.6%) with a median age of 44.0 (34.0-62.0) years were analyzed. After in-hospital treatment, patients' inflammatory indicators decreased with improved clinical condition. The median time from the onset of symptoms to first negative RT-PCR results for oropharyngeal swabs in convalescent patients was 9.5 (6.0-11.0) days. By February 10, 2020, 11 convalescent patients (16.7%) still tested positive for viral RNA from stool specimens and the other 55 patients' stool specimens were negative for 2019-nCoV following a median duration of 11.0 (9.0-16.0) days after symptom onset. Among these 55 patients, 43 had a longer duration until stool specimens were negative for viral RNA than for throat swabs, with a median delay of 2.0 (1.0-4.0) days. Results for only four (6.9%) urine samples were positive for viral nucleic acid out of 58 cases; viral RNA was still present in three patients' urine specimens after throat swabs were negative. Using a multiple linear regression model (F = 2.669, P = 0.044, and adjusted R = 0.122), the analysis showed that the CD4+ T lymphocyte count may help predict the duration of viral RNA detection in patients' stools (t = -2.699, P = 0.010). The duration of viral RNA detection from oropharyngeal swabs and fecal samples in the glucocorticoid treatment group was longer than that in the non-glucocorticoid treatment group (15 days vs. 8.0 days, respectively; t = 2.550, P = 0.013) and the duration of viral RNA detection in fecal samples in the glucocorticoid treatment group was longer than that in the non-glucocorticoid treatment group (20 days vs. 11 days, respectively; t = 4.631, P < 0.001). There was no statistically significant difference in inflammatory indicators between patients with positive fecal viral RNA test results and those with negative results (P > 0.05). CONCLUSIONS: In brief, as the clearance of viral RNA in patients' stools was delayed compared to that in oropharyngeal swabs, it is important to identify viral RNA in feces during convalescence. Because of the delayed clearance of viral RNA in the glucocorticoid treatment group, glucocorticoids are not recommended in the treatment of COVID-19, especially for mild disease. The duration of RNA detection may relate to host cell immunity."],"journal":"Chin Med J (Engl)","authors":["Ling, Yun","Xu, Shui-Bao","Lin, Yi-Xiao","Tian, Di","Zhu, Zhao-Qin","Dai, Fa-Hui","Wu, Fan","Song, Zhi-Gang","Huang, Wei","Chen, Jun","Hu, Bi-Jie","Wang, Sheng","Mao, En-Qiang","Zhu, Lei","Zhang, Wen-Hong","Lu, Hong-Zhou"],"date":"2020-03-03T11:00:00Z","year":2020,"_id":"32118639","week":"202010|Mar 02 - Mar 08","doi":"10.1097/CM9.0000000000000774","source":"PubMed","topics":["Diagnosis","Treatment"],"weight":1,"_version_":1663095626098802688,"score":255.04533},{"pmid":32227494,"title":"Caution should be exercised for the detection of SARS-CoV-2, especially in the elderly.","text":["Caution should be exercised for the detection of SARS-CoV-2, especially in the elderly.","In December 2019, a pneumonia outbreak, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first identified in Wuhan, China and presented a major threat to public health. Nationwide, there were more than 70,000 confirmed cases, and 2500 deaths. Most patients were elderly, with severe disease. For acute respiratory infection, RT-PCR is routinely used to detect causative viruses in respiratory secretions. Coronavirus RNA can be detected from nose and throat swabs, sputum and other lower respiratory tract secretions, blood and feces. Such specimens were examined by RT-PCR. Three targets, RdRP, E and N genes were detected, indicating samples were positive for SARS-CoV-2]. After patient recovery, a chest CT examination, combined with SARS-CoV-2 RNA detection, confirmed diagnosis. However, some recovery patients with negative RNA tests turned RNA positive. The preliminary data is about 14% of discharged patients in Guangdong reported by the Guangdong Center for Disease Control (CDC). This is an important scientific issue. If samples are positive for SARS-CoV-2 RNA, patients should be managed according to infection source. Fortunately, there were no close contacts of second-generation cases. We herein report six SARS-CoV-2 cases confirmed in our hospital, for the changes of results of SARS-CoV-2 RNA should attract attention. Most patients were elderly, with a low Geriatric Nutritional Risk Index (GNRI). However, the association of the phenomenon with aging and GNRI has not yet been reported in detail. Further investigations are necessary to confirm and improve these findings. Similarly, discharged patient follow-up should be strengthened. This article is protected by copyright. All rights reserved.","J Med Virol","YajunYuan","Wang, Nan","Ou, Xueqing","32227494"],"abstract":["In December 2019, a pneumonia outbreak, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first identified in Wuhan, China and presented a major threat to public health. Nationwide, there were more than 70,000 confirmed cases, and 2500 deaths. Most patients were elderly, with severe disease. For acute respiratory infection, RT-PCR is routinely used to detect causative viruses in respiratory secretions. Coronavirus RNA can be detected from nose and throat swabs, sputum and other lower respiratory tract secretions, blood and feces. Such specimens were examined by RT-PCR. Three targets, RdRP, E and N genes were detected, indicating samples were positive for SARS-CoV-2]. After patient recovery, a chest CT examination, combined with SARS-CoV-2 RNA detection, confirmed diagnosis. However, some recovery patients with negative RNA tests turned RNA positive. The preliminary data is about 14% of discharged patients in Guangdong reported by the Guangdong Center for Disease Control (CDC). This is an important scientific issue. If samples are positive for SARS-CoV-2 RNA, patients should be managed according to infection source. Fortunately, there were no close contacts of second-generation cases. We herein report six SARS-CoV-2 cases confirmed in our hospital, for the changes of results of SARS-CoV-2 RNA should attract attention. Most patients were elderly, with a low Geriatric Nutritional Risk Index (GNRI). However, the association of the phenomenon with aging and GNRI has not yet been reported in detail. Further investigations are necessary to confirm and improve these findings. Similarly, discharged patient follow-up should be strengthened. This article is protected by copyright. All rights reserved."],"journal":"J Med Virol","authors":["YajunYuan","Wang, Nan","Ou, Xueqing"],"date":"2020-04-01T11:00:00Z","year":2020,"_id":"32227494","week":"202014|Mar 30 - Apr 05","doi":"10.1002/jmv.25796","source":"PubMed","locations":["Wuhan","China","Guangdong"],"countries":["China"],"countries_codes":["CHN|China"],"topics":["Case Report"],"weight":1,"_version_":1662819280286121986,"score":230.65063}]} |
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{"songs": [{"album": null, "image": "https://images.genius.com/45c6514437349d8f8669d418dc40d920.1000x1000x1.jpg", "year": "2017-10-20", "title": "Row the Body", "lyrics": "[Intro: French Montana]\nMontana!\nY'all already know what it is\nWhen you hear that, \"Haan!\"\nCruz it up\n(Skrr, skrr)\n\n[Hook: French Montana]\nShor-Shorty wanna boss, 'cause she bossed up (haan)\nR-R-Riding down ocean with the doors up (haan)\nAllen Ive can't cross us (haan)\nHit it no hands, the only time we lost touch\nStay down till we high five (haan)\nNow's going down, like my timeline (haan)\nSouth Bronx Slick Rick jewel (haan)\nSlim Aarons with the click moves (haan)\n\n[Verse 1: Taio Cruz]\nI wanna give, wanna give what you needin'\nYou got that body, got that body I believe in\nAnd if you bring it, if you bring it over here so\nGive me a run so I can show you what I'm meanin'\nYou make me hot, make me hotter than a sauna\nYou made me wanna vote for you like Obama\nAnd if you bring it, if you bring it over here so\nThen, baby, we can grind, grind in a corner\n\n[Pre-Chorus: Taio Cruz]\nI want to, want to\nTake my time on you, on you\nTake your time on me\nWhen you grind on me, just slide on me\nYeah, yeah\n\n[Chorus: Taio Cruz]\nMove your body to the left\nMove your body to the right\nRow da body in slow motion\nRow da body all night\nMove your body to the left\nMove your body to the right\nRow da body in slow motion\nRow da body all night\nRow da body say row, row\nRow da body say row, row\nRow da body say row, row\nRow da body say row, row\nRow da body\n\n[Verse 2: Taio Cruz]\nI wanna show you, wanna show you what you missin'\nYou got that thing I'm tryna put into position\nAnd if you bring it, if you bring it over here so\nThen I can school you like you paying me tuition\nYou make me bubble, made me bubble like a soda\nBecause your body curve, curve like Coca-Cola\nAnd if you bring it, if you bring it over here so\nThen, baby, we can grind, grind in the corner\n\n[Pre-Chorus: Taio Cruz & French Montana]\nI want to, want to\nTake my time on you, on you\nTake your time on me\nWhen you grind on me, just slide on me\nYeah, yeah\nSkrr, skrr\n\n[Chorus: Taio Cruz]\nMove your body to the left\nMove your body to the right\nRow da body in slow motion\nRow a body all night\nMove your body to the left\nMove your body to the right\nRow da body in slow motion\nRow da body all night\nRow da body say row, row\nRow da body say row, row\nRow da body say row, row\nRow da body say row, row\nRow da body\n\n[Bridge: French Montana]\nMontana!\nBaby, I'm tryna get you on a vibe\nTryna get you on a flight\nMake a movie like Spike (like Spike)\nAnd if it's only for tonight\nWe gon' turn it to the max, you gon' remember me for life\nYachts pon da river-river, French vanilla sippin'-sippin'\nBaby, I don't flip, unless the roof Lamborghini whip up\nShe got me begging like I'm homeless (homeless)\nShe mover her body like she's boneless (boneless)\n\n[Chorus: Taio Cruz]\nMove your body to the left\nMove your body to the right\nRow da body in slow motion\nRow da body all night\nMove your body to the left\nMove your body to the right\nRow da body in slow motion\nRow da body all night\nRow da body say row, row\nRow da body say row, row\nRow da body say row, row\nRow da body say row, row\n\n[Outro]\nRow da body say row, row\nRow da body say row, row\nRow da body say row, row\nRow da body say row, row\nRow da body"}], "artist": "Taio Cruz"} |
{"poster":"Project","date":"2016-02-05T21:49:52.475+0000","title":"Anyone else have all Tryn skins?","subforum":"Miscellaneous","up_votes":2,"down_votes":1,"body":"I have mained Tryndamere sinse season 2 and have always purchased all of the skins of his only to realize that now I have 8 Tryndamere skins! obviously excluding his classic default skin. Just wondering if anyone else has all of these Tryndamere skins or any other champ with a lot of skins?","replies":[{"poster":"ƒamous","date":"2016-02-05T22:12:41.655+0000","up_votes":2,"down_votes":0,"body":"I have 6 skins for Ahri","replies":[]},{"poster":"Essembie","date":"2016-02-05T22:03:08.329+0000","up_votes":2,"down_votes":0,"body":"dont have the gravelord or whatever and dont have hunter. got all others.\n\nGot all sivir too except victorious. I will never have victorious :(","replies":[]},{"poster":"Wuks","date":"2016-02-05T21:57:40.859+0000","up_votes":2,"down_votes":0,"body":"If I recall correctly, I think I have all of the Annie skins. I also have a good majority of the Ashe skins, Warwick skins, and Twisted Fate skins (thanks Mystery Gifting RNG)","replies":[{"poster":"CHEESYLEEKS","date":"2016-02-06T03:43:17.106+0000","up_votes":1,"down_votes":0,"body":"but do you have pax tf.","replies":[{"poster":"Wuks","date":"2016-02-06T05:40:24.899+0000","up_votes":1,"down_votes":0,"body":"Naw, joined Season 3 :/ I wish I did!","replies":[]}]}]},{"poster":"DragonOfTheVoid","date":"2016-02-05T23:01:42.871+0000","up_votes":1,"down_votes":0,"body":"well I don't have any but if you wona gift me that's cool","replies":[]}]} |
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{"poster":"SennaFirstPick","date":"2016-03-08T12:52:33.553+0000","title":"Etnacomics 2016","subforum":"Discussioni generali","up_votes":3,"down_votes":0,"body":"quest'anno sarà presente la riot games come l'anno scorso? che programmi avete riguardo tornei, codici promozionali, merchandise? saranno presenti?","replies":[{"poster":"Jay Kenton","date":"2016-05-22T09:52:36.054+0000","up_votes":1,"down_votes":1,"body":"Ciao Hopsin, Ti confermo che saranno presenti tutte le attività degli anni scorsi con ancora novità. Saranno presenti i Rioters, e l'area sarà gestita [dal gruppo CS Italia](https://www.facebook.com/groups/445594492196546/?fref=ts). Nel gruppo puoi trovare i regolamenti dei tornei.","replies":[{"poster":"SennaFirstPick","date":"2016-05-22T09:58:55.574+0000","up_votes":2,"down_votes":0,"body":"mi prendi in giro?","replies":[{"poster":"Nibbio Bianco","date":"2016-05-22T10:15:01.861+0000","up_votes":2,"down_votes":1,"body":"> [{quoted}](name=FF HopSin,realm=EUW,application-id=MJVj50Jw,discussion-id=EAY1sBsL,comment-id=00030000,timestamp=2016-05-22T09:58:55.574+0000)\n>\n> mi prendi in giro?\n\nPerché?","replies":[]},{"poster":"Jay Kenton","date":"2016-05-22T10:28:32.882+0000","up_votes":1,"down_votes":0,"body":"Qual'è il problema?","replies":[]}]}]},{"poster":"GoR WreckeD","date":"2016-04-11T09:38:49.811+0000","up_votes":1,"down_votes":0,"body":"Up","replies":[]},{"poster":"Yamero Senpai","date":"2016-03-09T13:29:22.960+0000","up_votes":1,"down_votes":0,"body":"bump","replies":[]},{"poster":"Yamero Senpai","date":"2016-03-08T17:46:01.303+0000","up_votes":1,"down_votes":0,"body":"anche a me interesserebbe saperlo :/","replies":[]}]} |
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{"poster":"juuancruzz","date":"2017-04-13T23:07:55.184+0000","title":"Trolls","subforum":"Comportamiento del jugador","up_votes":1,"down_votes":1,"body":"hace mas de 1 mes que ya estoy subiendo y bajando entre platino 5 y 4 porque 2 de 3 partidas me toca una vayne ap, un vel jg, un afk o doble jg, y bueno ni hablar del comportamiento toxico, siempre hago mi mejor esfuerzo pero no se puede ganar una partida 3 vs 7 porque la mayoria de mis partidas son asi y lo peor de todo es que los reportas y sigue la misma situacion, como se puede jugar en este juego asi? dan ganas de tirar todo y no jugar mas","replies":[{"poster":"Yudel","date":"2017-04-14T02:29:27.363+0000","up_votes":1,"down_votes":0,"body":"es un juego, no? es para divertirse, existe algo llamado normals, dicen que podes invitar amigos y jugar para simplemente pasarlo bien\nTambién puedes invitar a tus amigos a clasificatorias, no se, podrías intentar~~","replies":[{"poster":"juuancruzz","date":"2017-04-14T02:41:14.843+0000","up_votes":1,"down_votes":0,"body":"si tuviera amigos","replies":[]}]}]} |
{"category": "Criminal Appeal", "status": "Remittitur Issued/Case Closed", "case_url": "http://caseinfo.nvsupremecourt.us/public/caseView.do?csIID=3942", "caption": "TUCKER (LORENZO) VS. STATE", "type": "Other", "case_no": "38038", "subtype": "Post-Conviction/Proper Person", "parties": [{"Represented By": "In Proper Person", "Role": "Appellant", "Party Name": "Lorenzo Tucker"}, {"Represented By": "Attorney General/Carson City", "Role": "Respondent", "Party Name": "The State of Nevada"}], "docket": [{"Date": "06/15/2001", "Type/Subtype": "Filing Fee - Filing Fee Waived", "Description": "Filing Fee Waived."}, {"Type/Subtype": "Notice of Appeal Documents - Notice of Appeal/Proper Person Fast Track", "Description": "Filed Certified Copy of Notice of Appeal/Proper Person Fast Track. (Fast track notice mailed to trial counsel.)", "Document Number": "01-10081", "Document URL": "/document/view.do?csNameID=3942&csIID=3942&deLinkID=53423&sireDocumentNumber=01-10081", "Date": "06/15/2001", "Pending?": "NA"}, {"Type/Subtype": "Motion - Motion", "Description": "Filed Motion.", "Document Number": "01-10908", "Document URL": "/document/view.do?csNameID=3942&csIID=3942&deLinkID=300889&sireDocumentNumber=01-10908", "Date": "06/27/2001", "Pending?": "NA"}, {"Type/Subtype": "Order/Procedural - Order Granting Motion", "Description": "Filed Order Granting Motion. On June 27, 2001, the public defender filed a motion to withdraw as attorney of record in this appeal. Upon review of the public defender's motion and the district court docket entries, it has become apparent that appellant was appearing in proper person in the post-conviction proceedings below. Accordingly, this appeal is not subject to the provisions of NRAP 3C. 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Court Reporter: Joseph D'Amato.", "Document Number": "02-13042", "Document URL": "/document/view.do?csNameID=3942&csIID=3942&deLinkID=72582&sireDocumentNumber=02-13042", "Date": "07/30/2002", "Pending?": "NA"}, {"Type/Subtype": "Transcript - Transcript", "Description": "Filed Transcript. Proceedings: 2/21/01; 4/16/01 (2); and 5/1/01. Court Reporter: Joseph A. 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Any subsequent appeal shall be docketed as a new number.] NNP03-RR/WM/MG", "Document Number": "03-00778", "Document URL": "/document/view.do?csNameID=3942&csIID=3942&deLinkID=80340&sireDocumentNumber=03-00778", "Date": "01/15/2003", "Pending?": "NA"}, {"Type/Subtype": "Remittitur - Remittitur", "Description": "Issued Remittitur.", "Document Number": "03-01117", "Document URL": "/document/view.do?csNameID=3942&csIID=3942&deLinkID=81621&sireDocumentNumber=03-01117", "Date": "02/11/2003", "Pending?": "NA"}, {"Date": "02/11/2003", "Type/Subtype": "Case Status Update - Remittitur Issued/Case Closed", "Description": "Remittitur Issued/Case Closed."}, {"Type/Subtype": "Remittitur - Remittitur", "Description": "Filed Remittitur. 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"text": "Crucial BX200 240GB SSD\n5 mánaða gamall og á því rúmlega eitt og hálft ár eftir í ábyrgð, verð 10.000 kr\nhttp://tolvutaekni.is/product_info.php?products_id=3122\n----------------------------------------------------------------------\n120GB 840 Evo Series SSD\nKomin úr ábyrgð, verð 5000 kr SELDUR til muslingur.\nhttp://www.samsung.com/us/support/owner ... Z-7TE120BW",
"date": "2016-12-06 00:15:00",
"post_id": "638428",
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"text": "240 GB diskurinn enn óseldur.",
"date": "2016-12-06 17:25:00",
"post_id": "638484",
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"text": "240 GB diskurinn enn óseldur.\nUppfært 9.12.2016 Báðir seldir",
"date": "2016-12-07 18:13:00",
"post_id": "638568",
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{"Reviews": [{"Author": "Brian P.", "ReviewID": "ZAWvUEM6KaPAJeQVnbd8iw", "Overall": "4.0", "Content": "Had time to kill between flights. \u00a0 Ma\u00eetre Dee \u00a0invited me in as the NFL playoffs going on. \u00a0I have to concur , Great Guiness pour. Had the double BBQ wings. \u00a06 wings with a little twang, no heat. \u00a0Just plain good. \u00a0Selected a Bass. \u00a0The pour is what you expect from an Irish Pub. \u00a0Ordered the Shepherds Pie. \u00a0It was good and flavorful. \u00a0The challenge is it was more potato mash than lamb and veg, a bit disappointing. The staff was good and attentive, prepped tables fast. \u00a0Good place to grab a decent meal and hang \u00a0between flights.Safe travels.", "Date": "2014-01-19", "Author_Location": "Middle Island, NY"}, {"Author": "Christy D.", "ReviewID": "CzKYP3JEAbMtXEIm7XZTHQ", "Overall": "3.0", "Content": "I had the cuban sandwich. It was excellent and loaded with pork and ham. The bun was properly toasted and chewy and didn't detract from the meat. The truffle fries with parmesan and parsley were delightful. The waiter was very attentive despite the place being packed with people watching the World Cup final. Good size TVs to watch the game. The only down side was they had music playing loud enough to cause hearing loss, that on top of the patrons cheering made the experience less than it could have been. Better if they had turned the sound on for the game and bagged the music. Evidently, the owner doesn't allow the music to be turned down nor for the World Cup final to be watched with the sound on. At least that is what the manager said when I asked him. I recommend coming for the food as long as you don't mind music so loud you leave with a headache.", "Date": "2014-07-13", "Author_Location": "Roland Park, Baltimore, MD"}, {"Author": "Renee G.", "ReviewID": "QORaHDpnM--jAauiBUaB4A", "Overall": "4.0", "Content": "After out flight landed there weren't many options for food. We stopped on because we were starving! The good was great .. Especially the truffle fries. The service was fantastic. I had sweet tea to drink and it was the best tea I've ever has in a restaurant. They do add an automatic 18% gratuity but I think the wait staff deserves more. If you're flying into or out of MIA definitely stop by for a bite to eat. You won't be disappointed.", "Date": "2014-06-01", "Author_Location": "Krum, TX"}, {"Author": "J T.", "ReviewID": "LHDN_wQT6KgwWKd8wuf_Sg", "Overall": "1.0", "Content": "For my 7AM breakfast (two eggs, sausage links and toast), the only thing that wasn't undercooked was the plate decoration orange wedge. And when I say undercooked, I mean the sausage was inedible. The service was fine - very nice actually and yes I did tell the server about the sausage that was left on my plate. I'm ok with the fact that she didn't take it off the bill - whatever. But I'm not ok with an 18% \"auto-gratuity\" and then a note at the bottom of the receipt that says they'll remove it if I ask for one of the managers. So...I'm could punish the server for ill-prepared food AND the system automatically charges me a gratuity for sausage unavailable for consumption - brilliant.Total bill: $11.48 for 2 eggs, two pieces of toast and a coffee. I'm really glad I didn't get the boudin noir.Also Chris: Never ever ever send food back to the kitchen three times.", "Date": "2013-11-16", "Author_Location": "Indianapolis, IN"}, {"Author": "Keith S.", "ReviewID": "ZKU8Bs1rnBRRoWVEs9sIcg", "Overall": "4.0", "Content": "Great Guinness pour. \u00a0Would love to have a double stout on the menu.Definitely at the top of the list (with La Carreta) for food at the MIA airport. \u00a0Great sit down experience although a little tight seating. \u00a0I ordered the Shepherd's Pie and a pint, both were perfect. \u00a0The interior looks like a nicer version of your corner pub, and there are televisions all over. \u00a0Would love to see some futbol or some cricket.Where is it? \u00a0If you go into the American Airlines terminal it is right at the bottom of the Skytrain 3 exit, near the Brito store.", "Date": "2013-12-21", "Author_Location": "Westfield, IN"}, {"Author": "Mike I.", "ReviewID": "6Sw4QhOok9SZ_qyY2SB4OA", "Overall": "5.0", "Content": "A new and great place at the Miami International Airport, terminal D. \u00a0Love the atmosphere, a true Irish Pub feel, brick and dark wood. \u00a0The Clover offers a huge selection of beer, wine, whiskey and specialty drinks. \u00a0The food menu is great, I've had the Fish and Chips as well as the Shepherds Pie. \u00a0The Shepherd's Pie, which is one of my all time favs, is the best I've ever had. \u00a0If you find yourself in the Miami airport The Clover has to be a stop you make.", "Date": "2013-11-05", "Author_Location": "Parker, CO"}, {"Author": "MickeyBlue I.", "ReviewID": "F_lT6a_DKS7w2M3f7-EwaA", "Overall": "2.0", "Content": "Considering its Airport food it wasn't horrific. My Fish & Chips was very tasty and no fishy after taste. Steer clear of the pulled pork sandwich it was not good. 11.75 for Fish & Chips in the airport is very reasonable. However what isn't reasonable is the automatic 18% gratuity included in every bill. I would gladly leave up to a 20% tip providing the service is great! But don't force me to leave a 18% tip regardless of the service.", "Date": "2014-01-04", "Author_Location": "Hollywood, FL"}, {"Author": "Lee S.", "ReviewID": "aOgtC2H2l_67okpAlDNHNQ", "Overall": "4.0", "Content": "When I walked In I was greeted politely and given a healthy pour. The food looks great and the service is very friendly for 6am on a Saturday. If you're in terminal D, come thru here. Please don't go to TGI Fridays. Have some personal respect goddammit!", "Date": "2013-12-14", "Author_Location": "Palo Alto, CA"}, {"Author": "David H.", "ReviewID": "iNfeIoQ_CqJARWToJMiMXg", "Overall": "4.0", "Content": "Great stop down here at Miami intl airport. Had a Rueben and a Bass. Both were really good. Our service was excellent, Thanks Michael. Cheers!", "Date": "2013-11-22", "Author_Location": "Dallas, TX"}, {"Author": "Chris P.", "ReviewID": "z8bAQ7xjN4uxNAoN0xalrg", "Overall": "1.0", "Content": "Keep going down the halls if you're looking for a nice breakfast. \u00a0It wasn't busy and it took Jose three times to get 2 eggs over easy with toast right. \u00a0\" It's only breakfast though, right?\"", "Date": "2013-11-13", "Author_Location": "Fredericksburg, VA"}, {"Author": "Jeremy H.", "ReviewID": "LkOj3h7dwdE8mDmFgFRGNg", "Overall": "1.0", "Content": "Ordered off the dinner menu requested the Shepherds Pie. It was the size of a appetizer at most other restaurant's. Although it was spread across a larger dish and contained very little meat. I mentioned how disappointed I was in the (dinner) I just had and was promptly blown off by the blond bartender and the manager on duty. This coupled with a 18% gratuity on my bill for poor service you would be a fool to go there. So unless you have time to kill and want very little to eat with very poor service look elsewhere. They believe since you are at an airport you are a captive audience however there are good places to eat this just isn't one of them.", "Date": "2014-04-04", "Author_Location": "Tampa, FL"}], "RestaurantInfo": {"RestaurantID": "q4I_th3kYASv2ZrSgyKVNA", "Name": "The Clover Irish Pub", "Price": "$$", "RestaurantURL": "/biz/the-clover-irish-pub-miami", "Longitude": " -80.28072322091449", "Address": "2100 NW 42nd AveMiami, FL 33166", "Latitude": " 25.797100137915599", "ImgURL": "//s3-media3.fl.yelpcdn.com/bphoto/a0m0mGD7fCCDL94ErdCW6Q/90s.jpg"}} |
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"description": "Shared Prettier configuration",
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{
"directions": [
"In a tall glass with back of a spoon crush mint and basil with sugar and lime juice until sugar is dissolved and stir in rum. Add ice cubes and top off drink with club soda or seltzer water.",
"Stir drink well and garnish with mint, basil, and lime."
],
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"Chilled club soda or seltzer water"
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"source": "www.epicurious.com",
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"Alcoholic",
"Cocktail Party",
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"Cocktail",
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"Mint",
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"url": "http://www.epicurious.com/recipes/food/views/mojito-with-basil-200652"
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Fast Track Response due: June 1, 2010.", "Document Number": "10-13437", "Document URL": "/document/view.do?csNameID=5740&csIID=5740&deLinkID=262460&sireDocumentNumber=10-13437", "Date": "05/24/2010", "Pending?": "NA"}, {"Type/Subtype": "Fast Track Brief - Fast Track Response", "Description": "Filed Fast Track Response.", "Document Number": "10-13974", "Document URL": "/document/view.do?csNameID=5740&csIID=5740&deLinkID=263586&sireDocumentNumber=10-13974", "Date": "05/28/2010", "Pending?": "NA"}, {"Type/Subtype": "Order/Dispositional - Order Affirming in Part, Reversing in Part and Remanding", "Description": "Order Affirming in Part, Reversing in Part and Remanding. \"ORDER the judgment of conviction AFFIRMED IN PART AND REVERSED IN PART AND REMAND this matter to the district court for proceedings consistent with this order.\"", "Document Number": "10-29055", "Document URL": "/document/view.do?csNameID=5740&csIID=5740&deLinkID=314157&sireDocumentNumber=10-29055", "Date": "11/05/2010", "Pending?": "NA"}, {"Date": "11/24/2010", "Type/Subtype": "Motion - Proper Person Motion", "Description": "Received Proper Person Motion for Extension of Time to File a Proper Person Petition for Rehearing. FILED PER ORDER OF 12/6/10."}, {"Type/Subtype": "Order/Procedural - Order Denying Motion", "Description": "Filed Order Denying Proper Person Motion. Appellant's counsel: 15 days to file a Petition for Rehearing.", "Document Number": "10-31680", "Document URL": "/document/view.do?csNameID=5740&csIID=5740&deLinkID=316910&sireDocumentNumber=10-31680", "Date": "12/06/2010", "Pending?": "NA"}, {"Type/Subtype": "Motion - Proper Person Motion", "Description": "Filed Proper Person Motion for the Extension of Time to File a Proper Person Petition for Rehearing.", "Document Number": "10-30723", "Document URL": "/document/view.do?csNameID=5740&csIID=5740&deLinkID=316913&sireDocumentNumber=10-30723", "Date": "12/06/2010", "Pending?": "NA"}, {"Type/Subtype": "Remittitur - Remittitur", "Description": "Issued Remittitur.", "Document Number": "10-33953", "Document URL": "/document/view.do?csNameID=5740&csIID=5740&deLinkID=319357&sireDocumentNumber=10-33953", "Date": "12/29/2010", "Pending?": "NA"}, {"Date": "12/29/2010", "Type/Subtype": "Case Status Update - Remittitur Issued/Case Closed", "Description": "Remittitur Issued/Case Closed."}, {"Type/Subtype": "Remittitur - Remittitur", "Description": "Filed Remittitur. 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{"_id":"A00801","titles":["A sermon preached at Paules Crosse the second Sunday in Mychaelmas tearme last. 1590. By Geruase Babington D. of Diuinitie. Not printed before this 23. of August. 1591"],"author":["Babington, Gervase, 1550-1610."],"place":"Imprinted at London :","date":"[1591]","publisher":"By Thomas Este, dwelling in Aldersgate streete at the signe of the Black Horse, and are there to be sould,","notes":["Publication date from STC.","On John vi. 37--STC.","Running title reads: A sermon preached by D. Babington, at Paules crosse.","Reproduction of the original in the British Library."],"editionDate":"1591","language":"eng","keywords":["Sermons, English -- 16th century."]} |
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{"title": "Okamurovci podpořili Zemana na Hrad", "date": "2017-12-11 00:00:00", "article": " sobota 9. prosince 2017, 8:27 Hnutí ocenilo dosavadní práci Miloše Zemana v nejvyšší funkci, a proto by podle SPD měl pokračovat i v druhém období. „Přestože máme v některých otázkách rozdílné názory, tak z celkového pohledu považujeme výsledky práce prezidenta Miloše Zemana za potvrzení správnosti principu přímé volby prezidenta České republiky. V nadcházejících prezidentských volbách je třeba opět podpořit kandidáta podporujícího principy přímé demokracie,” uvedlo SPD v tiskové zprávě. Konferenci zahájil projev šéfa hnutí Tomia . Ten konstatoval, že nebýt údajné ignorace ze strany médií, byl by volební výsledek hnutí minimálně dvojnásobný. SPD ve volbách získala necelých 11 procent hlasů. „Nejsme extremisté, prosazujeme to, co si přeje většina,” vzkázal Okamura kritikům. Prezident Zeman k mikrofonu přistoupil jako druhý. Ocenil program SPD, ale současně poukázal na rozpory v něm. Konkrétně se prezidentovi nelíbí, že SPD nepodporuje zahraniční mise armády. [ ] Úvodní projevy byly jedinou částí sjezdu, na které hnutí novináře připustilo. Zbylá část bude neveřejná z bezpečnostních důvodů, avizovala partaj. Následovat má například vyhodnocení voleb a aktuální situace. Celostátní konference SPD 9. prosince 2017. Na snímku předseda hnutí Tomio Okamura. FOTO: Jan Handrejch, Delegáti se měli bavit i o strategii SPD při obecních a senátních volbách, které se budou konat příští rok. Dalším tématem měla být konference, na kterou v polovině prosince do Prahy přijedou zástupci spřízněných evropských politických stran z osmi zemí včetně předsedkyně francouzské Národní fronty . [ ] V Praze se 9. prosince konala celostátní konference hnutí Svoboda a přímá demokracie (SPD). FOTO: Ondřej Deml, Nejdůležitější částí sjezdu bylo ovšem rozhodování o podpoře do prezidentských voleb. Okamura prosazoval, aby podporu získal kandidát, který se staví proti islámu, neřízené migraci, je pro a na první místo klade národní zájem. Zároveň by měl mít reálnou šanci na zvolení. Těmto kritériím ze zaregistrovaných kandidátů odpovídal nejvíce právě Zeman. , ", "keywords": ["okamura", " spd", " sjezd", " okamurovci", " zeman", " projev", " delegáti", " hrad", " kandidáta", " podpoří", " Domácí"], "server": "novinky_cz"} |
{"poster":"KTM ShotProof","date":"2016-11-27T15:18:13.681+0000","title":"Jungler?","subforum":"Discussioni generali","up_votes":1,"down_votes":1,"body":"Che jungler mi consigliate?non ditemi warwick,xin o yi. Ho 4000 però posso salire fino a 6300 nel caso,mi piace shaco però provandolo si vede il nerf sopratutto a inizio game.Poi pensavo zac ma non so se mi diverta,vabe consigliatemi c,c{{summoner:11}}","replies":[{"poster":"KTM ShotProof","date":"2016-11-28T16:46:21.522+0000","up_votes":1,"down_votes":0,"body":"e nidalee che ne pensate?","replies":[{"poster":"Giorgio di villa","date":"2016-11-28T21:29:17.332+0000","up_votes":1,"down_votes":0,"body":"è un buon jungler\nbisogna avere molta mira e saperla usare bene altrimenti si diventa inutili\nma al momento non eccelle molto visto che con la nuova maestria le scelte migliori sono i jungler tank dotati di cc come i già citati {{champion:254}} {{champion:120}} {{champion:154}} \no molti altri come {{champion:111}} {{champion:32}} {{champion:33}} {{champion:79}} {{champion:72}}{{champion:57}} ","replies":[]}]},{"poster":"Térence Fill","date":"2016-11-28T17:23:05.826+0000","up_votes":1,"down_votes":0,"body":"{{champion:111}} {{champion:32}} {{champion:254}} {{champion:33}} {{champion:9}}","replies":[]},{"poster":"Nomeimpossibile","date":"2016-11-28T07:01:52.633+0000","up_votes":1,"down_votes":0,"body":"Premetto che gioco solo \"for fun\" ma al momento il mio main è {{champion:28}} relativamente debole fino al livello 6 ma dal mid fino a late game ha dei kit che nel gank fai esplodere quasi tutto. \nLa sua W è un evade e un booster a seconda delle circostanze, la sua ulti e buona per iniziare, scappare o inseguire.\nStò imparando ora a vincere la tentazione di gettarmi nelle mischie e il timing per uscire dallo stealth per ingaggiare, forse questi sono gli unici elementoiche con Eve fanno una reale differenze tra cattivo e buon jungler. Poi è una bonona allucinante.... ;-)","replies":[]},{"poster":"The Fluffy Lamb","date":"2016-11-27T15:19:17.211+0000","up_votes":1,"down_votes":0,"body":"Io mi sono preso kindred giusto ieri sera. \nNon ho dormito. Nerdato tutta la nitte","replies":[{"poster":"KTM ShotProof","date":"2016-11-27T16:40:53.182+0000","up_votes":1,"down_votes":0,"body":"Kindred lo amo esteticamente però tutti mi han detto che è stranerfato","replies":[{"poster":"The Fluffy Lamb","date":"2016-11-27T21:30:40.720+0000","up_votes":1,"down_votes":0,"body":"Basta saperlo giocare, come tutti i campioni. \nÈ debole si - dopo un bel po di nerf mi sembra ovvio - ha poca vita, poco danno agli inizi, e non è veloce nelle fughe senza il flash. \n\nMa devo dire che mi trovo molto bene. Non faccio molte kill perché lo gioco da pochi giorni. A me piace molto. Basta che ti trovi nel campione. Sarebbe troppo facile prendere un campione op momentaneo e switchare a quello op del periodo dopo. Io la penso cosi. Poi fai te ;)","replies":[]}]}]},{"poster":"NOLIMIT Vladimir","date":"2016-11-27T19:11:27.235+0000","up_votes":1,"down_votes":0,"body":"Ottimi bruiser: {{champion:24}} {{champion:23}} {{champion:240}} \nSono tutti e 3 champ con bei moveset, fanno alti danni e reggono abbastanza con la build giusta. Specialmente Kled, lo hanno leggermente nerfato alla 6.22 ma rimane fortissimo, alti danni con la passiva della W, ottima mobilitá grazie alla E e la ulti ma richiede molta bravura poichè nelle prime partite specialmente, la differenza tra skaarl e no skaarl si sente moltissimo ma poi capisci che si può perfettamente fightare anche appiedato per quanto il nerf sia pesante.","replies":[]},{"poster":"Dreggarr","date":"2016-11-27T17:25:10.558+0000","up_votes":1,"down_votes":0,"body":"Dipende dalla tua esperienza... se conosci già il ruolo del jungler prova un rengar kha zix che sono champion con cui o fai il botto o fai schifo... Se invece sei un pò più inesperto prova Hecarim o Zac (quelli che uso per la maggioranza io assieme a rengar). Hecarim era molto forte prima del nerf ora è comunque un champ buono poi con la nuova maestria ancora meglio.","replies":[]},{"poster":"Giorgio di villa","date":"2016-11-27T15:46:24.683+0000","up_votes":1,"down_votes":0,"body":"qualsiasi jungler tank con un cc va bene grazie alla nuova maestria\ni migliori al momento sono {{champion:254}} {{champion:120}} {{champion:154}} e {{champion:427}}......si non sto scherzando, proprio ivern\ndaisy è passata dall' essere completamente ritardata all'essere l'incarnazione di ultron\nivern è un champ molto complicato ma in cambio ha l'invade più veloce del gioco\ne ti avverto che verrà nerfato nella prossima patch","replies":[{"poster":"KTM ShotProof","date":"2016-11-27T16:41:33.368+0000","up_votes":1,"down_votes":0,"body":"una volta provai Vi ma feci uno schifo immenso, però mi piacerebbe impararla ci penserò grazie","replies":[]}]},{"poster":"Kim114","date":"2016-11-27T15:32:42.564+0000","up_votes":1,"down_votes":1,"body":"allora\nposso consigliarti {{champion:106}} ,{{champion:254}}, {{champion:121}} e{{champion:107}} che sono veramente BROKENH,{{champion:120}} o{{champion:154}} \nsono i migliroi secondo me da 4800 o più","replies":[]}]} |
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