The reporter stations of the New York Times in all parts of China (including Hong Kong) are under the control of the chief reporter of the Shanghai Branch in China, regardless of finance, personnel and reporting services. Aban has been the chief reporter in China for 12 years since 1929. The positions of editor-in-chief and publisher of the New York Times have been changed one after another, but his position is as stable as Mount Tai, because his business is exquisite and comprehensive, and it is difficult to replace him at will. In 1940, Aban finally left China, but instead of being transferred back by the headquarters, he was unable to hold back the Japanese's repeated attempts to physically destroy him, so that US Asian Fleet Commander Hart could not see him and forced him to avoid him.
他脑海里浮现在大哥房里见过的那个黑匣子，觉得那里面肯定有宝贝。
女孩子秋月诞生在二十年代台湾小镇。就在她二十岁的花样年华时，为给顽疾缠身的父亲筹措医药费，放弃了于自己私定终身的情人家昌，毅然嫁给一个体弱多病，娶妻冲喜的八岁男童。老父一再阻拦，但秋月为救父亲甘愿牺牲自己的幸福。
NBC已续订《百味超市》第二季。
TNT宣布续订《#野兽家族#AnimalKingdom》第五季。
2008.8-20世纪少年：第一部 降临
The first stage of Franklin's deliberate practice:
男主角的名字Suriyan是印度太阳神，女主名字Thantawan是泰文向日葵。
亿万富翁范进宾（徐克 饰）的儿子和儿媳在一场车祸中双双身亡，只留下可怜的孙子小宝贝（温兆宇 饰）陪在身旁，范因此对孙子格外关爱，养成了他任性骄傲的坏毛病。新来的家庭女教师玛丽（潘迎紫 饰）与小宝贝一番大战之后，成为了亲密无间的好朋友。
初中2年级的希对教练说：“我想参加新人战的第一轮比赛！”好几次都在祈祷。
韩信点头道：是啊，以我们现在的实力，干不过其中任何一个。
Chapter 3 Mental Representation
郑老太太便将客人让到廊檐下，摆了张小桌，弄些瓜果吃食，陪着说闲话。
泰剧《第二次》
家境贫寒的雪文曦以抄书代写为生，却阴差阳错地撞见了云国刺史之子风承骏。风承骏赏识她的才华，暗中设局，令雪文曦通过考试，进入了唯有男子才可进修的云上学堂。雪文曦为隐藏女子的身份，终日如履薄冰，幸好有风承骏的帮助，才能安心修学，她聪慧善良、顽强乐观的人格魅力，使潇洒不羁的雨乐暄找回了尊严、桀骜不驯的雷泽信重燃心中的希望。四人组成“云上四杰”，在克服种种困难的过程中相互影响、共同成长。雪文曦暴露了女子的身份，与风承骏互生爱慕，并牵扯出上一辈间的恩怨是非。四人为了继承先辈的遗志，实现心中理想，陷入危机四伏之中……
在这些据说之下，这次攻城更加显得疑点重重。
雷小宝（姜文 饰）和妹妹雷小健（于莉 饰）是情同手足的兄妹，两人相依为命，感情十分要好。小宝是一名刑警，近日来，一宗犯罪金额高达两千万元的诈骗案让小宝陷入了僵局之中，他所缉拿的罪犯陈子良（万梓良 饰），竟然正是小健的男友。
Data Poisoning Attack: This involves inputting antagonistic training data into the classifier. The most common type of attack we observe is model skew. Attackers pollute training data in this way, making classifiers tilt to their preferences when classifying good data and bad data. The second attack we have observed in practice is feedback weaponization, which attempts to abuse the feedback mechanism to manipulate the system to misclassify good content as abuse (e.g. Competitor's content or part of retaliatory attacks).
