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平地风云第二季
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  Mary是新墨西哥的一名联邦保护证人组成员,其工作属于高度机密,她保护的对象有职业罪犯、高明的骗子、杀人犯,也有不幸的受害者和恰巧目击罪案发生的人。然而不论身份如何、有罪与否,他们都有一个共同点:有人想置他们于死地。  对于证人来说,出庭作供意味着抛弃亲友,割断现有的一切联系,Mary的职责便在于保护他们躲过仇家追杀,改变身份搬到陌生的西南部,开始一段新的人生。  Mary把工作当生命,形形色色的证人无论好坏她都保护到底,执拗冲动火爆,幸运的是她拥有搭档Marshall,温吞吞软糯糯,偏又毒舌一针见血,两人性格如同火星撞地球,成天互相嘲讽,但关键时刻却肯挺身而出为对方死。  虽然工作极度危险且压力巨大,但却完全比不上家务事让Mary头痛:麻烦的老妈和更麻烦的妹妹Brandi上季已经给她添了不少麻烦,妹妹爱上她的男友,失踪的父亲跟她的信件联系成为母女三人反目的导火索,唯一幸运的是妹妹的那箱冰毒在最后一刻神秘失踪,洒入跑道划线粉中?还是被藏到别处?Mary的父亲到底是生是死?一家三口drama queen能否和好如初?脱线母妹是否会惹上更大麻烦?Ralph还是Marshall才会成为Mary的真命天子?
尸奶俱乐部
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剧情:
  小镇上声名狼藉的脱衣舞俱乐部即将关门大吉,营业的最后一晚却变成血腥之夜!当一群遭受致命感染的顾客现身闹场,俱乐部老板娘和她的脱衣舞嚷们必须挺身而出,情况却逐渐一发不可收拾……
你不是诺米
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  Released in 1995, Paul Verhoeven's Showgirls was met by critics and audiences with near universal derision. You Don't Nomi traces the film's redemptive journey from notorious flop to cult classic, and maybe even masterpiece.
特种部队:毁尸灭尽
剧情:
  Five Spec Ops, Alpha Squad, head a simple Recon Mission that turns into an all out war for survival against a wave of undead experiments. Alpha Squad must fight, not just for the sake of their own survival, but the fate of the world.
海洋巨兽
剧情:
  长久以来,人们一直在怀疑宇宙中是否存在其他的智慧生命形式。然后,为什么我们不首先在我们的海洋里找寻一下呢?鲸鱼和海豚,同人类一样有着巨大的大脑,善于学习新的行为,拥有自己的社交语言。我们渴望了解,它们的思想与人类真的很接近吗?在巴哈马从事相关研究的丹尼斯赫青教授相信她即将找到问题的答案,她坚信五年内她将可以与野生海豚进行无缝交流
南国医恋第二季
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  来自纽约的都市女孩Zoe Hart(Rachel Bilson扮演)正憧憬着自己的未来--她以全班第一的优异成绩从医学院毕业,将继承父亲的衣钵当一名心胸外科医生。可是当Zoe的梦想破灭之后,她不得不接受性情古怪的Harley Wilkes医生的邀请,去他开办的小诊所工作。 离开喧嚣的都市,Zoe只身一人来到这座南方的海岸小镇--阿拉巴马州的蓝铃镇。让Zoe惊讶的是,Harley已经去世了,但却将诊所的一半所有权以遗嘱的方式送给了她。Zoe为南方人的好客所感动,可事情真是这样吗?不,Zoe很快发现这飞来的财富是个烫手的山芋。 小镇上的另一位医生Brick Breeland对Zoe十分反感。特别是当他听说自己必须和这位名不见经传的外来者分享诊所的所有权,更是窝了一肚子火。Brick的女儿Lemon(Jaime King扮演)是个典型的南方美人,身上散发着一种甜美可爱的气息。可是当她与Zoe见面后,双方立刻成为水火不容的死敌。by:yakubd.cc
危险乘客
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The occupants of a van transporting a wounded excursionist have to avoid sitting next to her during the trip.
数据的乐趣
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  A witty, exhilarating and mind-expanding exploration of the word of our times - data - with mathematician Dr Hannah Fry. Following in the footsteps of BBC Four's previous gleefully nerdy, award-winning maths films The Joy of Stats, Tails you Win - The Science of Chance and The Joy of Logic, this new high-tech romp reveals exactly what data is and how it is captured, stored, shared and made sense of. Fry also tells the story of the engineers of the data age, people most of us have never heard of despite the fact they brought about a technological and philosophical revolution.  For Hannah Fry, the joy of data is all about spotting patterns. She's Lecturer in the Mathematics of Cities at UCL as well as being the presenter of the BBC series Trainspotting Live and City in the Sky, and she sees data as the essential bridge between two universes - the tangible, noisy, messy world that we see and experience, and the clean, ordered, elegant world of maths, where everything can be captured beautifully with equations.  Along the way the film reveals the connection between Scrabble scores and online movie streaming, explains why a herd of Wiltshire dairy cows are wearing pedometers, and uncovers the remarkable network map of Wikipedia. What's the mystery link between 'marmalade' and 'One Direction'?  The Joy of Data also hails the giant contribution of Claude Shannon, the American mathematician and electrical engineer who, in an attempt to solve the problem of noisy telephone lines, devised a way to digitise all information. It was Shannon, father of the 'bit', who singlehandedly launched the 'information age'. Meanwhile, the green lawns of Britain's National Physical Laboratory host a race between its young apprentices in order to demonstrate how and why data moves quickly and successfully around modern data networks. It's all thanks to the brilliant technique first invented there in the 1960s by Welshman Donald Davies - packet switching - without which there would be no internet as we know it.  But what of the future, big data and artificial intelligence? Should we be worried by the pace of change, and what our own data could and should be used for? Ultimately, Fry concludes, data has empowered all of us. We must have machines at our side if we're to find patterns in the modern-day data deluge. But, Fry believes, regardless of AI and machine learning, it will always take us to find the meaning in them.