本剧讲述了‘戏精本精’的可爱少女林鹿因弟弟生病急需高额医药费，无奈与‘钢铁直男’霸道总裁时敛森签订了“百日恋爱契约”，从而引起的爆笑甜蜜故事。在契约的牵引下二人的“恋爱”正式拉开帷幕，林鹿总是误打误撞闯入时敛森的警戒区触犯界限，时敛森的嘴毒腹黑太龟毛也让林鹿很抓狂，两人在一系列啼笑皆非、宠溺甜蜜的日常中逐渐走近彼此……
Physical Attack +15 (Maximum +20)
挺短的一部泰国同志爱情喜剧，每集10分钟左右，挺有意思的
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37岁的某学院教授秦文旭有学科带头人晋升系主任，其岳父设家宴为之庆贺。欢宴中，秦文旭婚前与女友的私儿子大龙突然出现，使秦文旭震惊困惑，更使秦妻吴媚如遭雷击…… 秦文旭情感受挫，内心压抑，全家人无一例外卷入到一次严重的感情纠葛中。他们或心灵震荡，或仓促应付，或人性扭曲，或情感错位。在体味爱与被爱的过程里，他们遍尝心酸与甜蜜，在现代意识与传统观念的碰撞中，升华理智与宽容……最后大家庭重归和睦，大龙发自内心地叫秦文旭爸爸……
该剧以当今商战风云变幻、龙蛇沉浮的大背景为依托，讲述了天美集团董事长蓝百万在面对亲人的背叛与暗杀，金钱与欲望，他如何绝地反击，自我救赎的故事。生动展现了他大起大落，悲欢离合的人生。
凯奇是一个充满好奇心和正义感的男孩，他还有一个神秘的身份：奇趣特工队队长。他和他的伙伴们，调皮骄傲又听得懂外星语的宠物“闪电猫”、彬彬有礼、温和待人的管家“艾尔”、以及意外流落地球的外星访客“嘟嘟公主”，组成了守护小镇的奇趣特工队。在守卫小镇的过程中，奇趣特工队不仅要帮助总是“好心办坏事”的乌龙发明家青椒博士，解决暴走的发明品所带来的麻烦，还要和马戏团长“班主先生”、外星人“皮录”和“小矮妖”斗智斗勇。所幸，凯奇和伙伴们拥有的神奇徽章，能让大家变身成为奇趣特工，充分发挥各自的特长和技能，齐心协力，化解每一次的小镇危机。而奇趣特工队，也在一次次任务中不断学习，不断成长，最终成为更加出色的超级英雄。
都想做好
基于“比利时”同名系列，T教授是在剑桥大学的背景下成立的，它是世界上最负盛名的教育机构之一。
日军派出了最为精锐的金牌特工——“毒蛇”，国民党出动了隐藏在我军内部最深的特务，而我军选派优秀的基层指挥员林峰，巧妙地打入到敌人内部，依靠群众，大智大勇，与之周旋。一时间，护宝之旅险象环生。贯穿全剧的宝藏秘密原来是个大圈套；当林峰从藏宝洞的大爆炸逃生出来后，在洞口与后赶到的“毒蛇”、国民党特务等人又是一场恶战……
The MDT team should be aware of all current disease-related clinical trials (including selection criteria). Assessing whether patients can participate in clinical trials should be part of clinical decision-making. If necessary, collaborators or research nurses of relevant clinical trials can be invited to attend MDT meetings.
久违的吃货五郎又回来了！个体杂货商店的老板井之头五郎（松重丰 Yutaka Matsushige 饰）将在这个夏天不仅继续为千奇百怪的客人搜寻各种稀奇古怪的玩意儿，更将在工作间隙再次带领大家深入日本的大街小巷饱尝各色令人垂涎欲滴的美食。从重磅出击的奶油水果三明治早餐，到浓郁醇香的黑咖啡，到油光锃亮的鳗鱼配上晶莹剔透的米饭，再到百吃不厌的中华料理，五郎虽然还是一个人吃饭，可是却将那种一个人的忘我和悠然发挥得更加淋漓尽致。大快朵颐后的满足不禁不断让人感受到生活中简单的美好，更让我们看到其实并不“孤独”的民间美食家井之头五郎。
Alter database example set emergency
翻拍自《狐狸的夏天》
小美女拉起哥哥的手，心情激动，有些着急。
大清康熙帝爱新觉罗·玄烨执政时期，康熙帝的9个皇子争夺皇位各使阴谋诡计，波诡云谲。一日，康熙帝带着大臣索额图深夜到少林寺，和少林寺方丈密谈，随后少林寺的方丈吩咐自己的7个弟子陪同大清3个官员带着一个宝盒奔赴西域。
For codes of the same length, theoretically, the further the coding distance between any two categories, the stronger the error correction capability. Therefore, when the code length is small, the theoretical optimal code can be calculated according to this principle. However, it is difficult to effectively determine the optimal code when the code length is slightly larger. In fact, this is an NP-hard problem. However, we usually do not need to obtain theoretical optimal codes, because non-optimal codes can often produce good enough classifiers in practice. On the other hand, it is not that the better the theoretical properties of coding, the better the classification performance, because the machine learning problem involves many factors, such as dismantling multiple classes into two "class subsets", and the difficulty of distinguishing the two class subsets formed by different dismantling methods is often different, that is, the difficulty of the two classification problems caused by them is different. Therefore, one theory has a good quality of error correction, but it leads to a difficult coding for the two-classification problem, which is worse than the other theory, but it leads to a simpler coding for the two-classification problem, and it is hard to say which is better or weaker in the final performance of the model.
