搜索"䄀氀攀" ，找到 部影视作品
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两个年轻的学生sarah和philip，两个人在网络上结识并且倾诉自己并不满意的生活，于是两个人相约一起徒步等到山顶自杀，在这一路上他们彼此分享生活中的经历和痛苦，那么经历了这一路的陪伴，两个人是否还有新的明天呢
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一个年轻的窃贼为了躲避黑帮的追捕躲进了一栋房子，房子的屋主是一个身患重病的女孩。两人在相处中产生了感情，男孩一直鼓励女孩要勇敢活下去，没有料到的是男孩不知自己已经身患癌症，会比女孩更早离去。
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《My Mad Fat Diary》是英国E4频道在2013年最新推出的一个剧集，电视剧根据Rae Earl(Rachel Earl 出生于Stamford, England in 1971)一位英国作家，广播员的青春日记改编而成.（Rae Earl13 Decembe r 1971 age 43)国内各字幕组将其翻译成《肥瑞的疯狂日记》。故事发生在1996年的 Stamford, Lincolnshire。该剧讲述的是一个刚从精神病院回归正常生活的16岁女孩，与其5位好友之间，既有欢笑又有泪水的青春故事。这是一部给胖女孩信心的剧。 16岁的Rae Earl（莎朗·鲁妮 Sharon Rooney 饰）为人风趣，喜欢音乐。基本和普通这个年纪的女孩并没有什么不同。当然，除了，有那么一点胖。因为这一点，她常常给同学叫做“胖妹”，也因为这点，她有时很害怕和外界接触，总是独自呆在家里。有时还会因为 这个原因和独自抚养她长大的妈妈吵架。但这个胖姑娘还是和普通女孩一样，看到帅哥会犯花痴，遇到陌生人会有那么些尴尬。 最重要的问题是，Rae Earl刚从一个特殊的地方回家——精神病院。但她答应了自己和妈妈一切都会好起来，她要勇敢的对面生活的爱情。究竟这个胖妹会带来一段如何经常的生活日记呢？ 普通女孩（女屌丝逆袭的故事）女版少年维特的烦恼。正能量治愈系！ 这个故事发生在英国英格兰林肯郡lincolnshire。
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78組鏡位，52次剪接，正值顛峰的希區考克花了七天時間，完成《驚魂記》中最懾人心魄的三分鐘浴室謀殺戲，至今仍為全世界懸疑發燒友們「驚驚」樂道。 殭屍解密奇作《活人生吃全都錄》鬼才導演亞利山德奧菲利浦考究魂再起，請來奇幻名導吉勒摩戴托羅、《恐怖旅社》導演艾利羅斯、《魔戒》男主角伊萊亞伍德，以及許多好萊塢當今一線技術專才和資深影評重看《驚魂記》，拍攝一眾驚悚職人自預告、劇本、分鏡、聲音、道具，乃至歷史與社會背景等不同角度切入，將這段傳奇劇碼開腸剖肚、逐鏡還原，嘗試挖掘細節中的所有魔鬼。 從聖經繪畫到《鬼店》壁紙，從二戰遺緒到愛慾淫癖，細數大師鉅作，穿越百年影史，那些影迷們不敢問希區考克的，本片將一一解答。@台北金馬影展
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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.
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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.
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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
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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.