Fantasy Simulation Battle 2
该剧以赖天佑父女，林通海父子，黄昆山父女和王胜天，王胜志兄弟为故事主要人物线索，表现了两代四家人在商场竞争中的社会价值，人情义理，亲情，友情，爱情和人性的真善丑恶。
正在看小说的郑武也是一阵触动，这两兄弟遭受了多少痛苦折磨，经过了多少恩怨纠缠，现在总算兄弟相认。
▪ 儿子杀人于是避逃人群的_加害者家庭
Aban was born in Portland, Oregon, USA in 1884 and died in 1955. He was unmarried and childless. Aban did not like to live in conformity with the rules. In 1905, when he was just in his third year at Stanford University, he dropped out of school to join the society and got a job as an intern reporter. Before coming to China, he had been immersed in the US press for 21 years, and the highest position was editor-in-chief. During this period, Aban did not consider getting a wife and having children. He just changed jobs frequently and wrote in the mountains. In short, he hated any fixed day. After all this trouble until I was in my early 40s, I suddenly had a whim to enter the world in the Far East and came to China.
12年之后的新系列，雾山（小田切让）将从美国FBI回到旧时的时効管理课，另一边、三日月（麻生久美子）已经升任交通课课长补佐，因为等不到雾山回来，期间和刑事课的刑警结婚、后来又离婚的设定。
Shanxi Province
楚军在战场上的优势为他争取了更多主动权，何况还有刘邦家人在手。
琵琶首席李飒飒，舞台魅力演奏之际，机缘巧合，一把凤颈琵琶将她卷入千年之前的盛朝，成为一名弃妇琵琶女。流落上京街头的她，阴差阳错栖身于右教坊，与混迹市井莺燕环绕的右教坊掌管人陆景年结缘，两人开启试探周旋，高手过招模式。。。
Swimming
儿时的兄弟,为了共同的情谊重新聚集；青春岁月里的梦想不会因为岁月的蹉跎而泯灭，在梦想光环下,青春的悸动,对爱情的懵懂，混杂着现实的残酷，情与义的五味杂陈在这个夏天瞬间发酵！
僵尸危机爆发，一对姐妹和两个年轻人上了一条船，希望借此逃生，但末日灾难下，奇葩的人也总能制造各种笑料...
于是急匆匆地奔过来，将他们喝止，厉声问道：这是为何？众顽童大眼瞪小眼：这也是约定俗成的规矩，打架后都不准对大人告状，否则下回没人睬你。
徐文长挑不出毛病，只好说道：杨府二夫人……的确是合适的人选。
姜洪武的亲人都不在了，家也没了。年幼的场景、熟悉的街道已经变成一片废墟，随着梦境渐渐远去。姜洪武被生死兄弟郭小东接到了自己的家里，而郭小东的妻子吕梅却极不欢迎他！
Take the Soviet losses in the Soviet-German War as an example: the Soviet losses totaled 29.593 million. Among them, 6.817 million were killed (76% were killed in action, 16% were killed by injuries, 8% were killed by diseases and accidents), 4.456 million were captured or missing, and 18.32 million were injured (82.9% were injured, 16.6% were reduced due to illness, and 0.5% were frostbitten).
顾涧大声道：属下遵命。
“地球就像一个很好的球，就像我玩的球。所以一切都连在一起，即使是你不知道的地方。“有一只住在银座的黑猫，每当有人遇到困难或烦恼时，这只黑猫就会出现在那个人的面前，并发出“喵”的叫声，仿佛是在邀请。而接收到邀请的人，也会好奇地跟随着黑猫。“巧合”的是，黑猫每次总能把那个人带到适合她/他的韵味的银座名店里。然后故事就这样开始了。该剧通过猫，把店与人连接在了一起。今天，你看到的是什么样的银座呢？有通过筷子让原本关系不佳的父女重归于好的故事，有在咖喱店找到童年回忆的中年人的故事……作品温情治愈慢节奏，人物感情刻画细腻、色调舒适，一集一个故事的单元剧，以黑猫介入带你探寻银座老店，同时也让观众感受到世间的美好。
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.
