5. QC and red lotus are directly released once cooling is finished;
林允儿 确定出演JTBC新剧《沉默警报》女主角。
The first step in classification is to first determine the criteria on which the classification is based, i.e. Dimensions, which can be nationality, zodiac sign, occupation, etc. The essence of dimensions is to find common aspects, for example, everyone has the above 10 dimensions.
老鼠捧茶请人客
刘学栋回到济南刘掌柜大喜，众人为他接风，这时妓女莲花撞上门告诉他：洪二要
平凡女生周一一原是购物频道主持人，经历了男友张诚军爱上自己好友庄静的打击之后，毅然调入濒临解散的999电台，与拥有很多怪癖的闷骚男马路搭档，主持一档收听率为零的栏目。而同时段的收听率都被1088电台的当红DJ微风纳入囊中。周一一将微风当作自己事业上的假想敌，尽管她面对工作积极努力，却依然难逃电台解散，濒临下岗的命运。微风本名曹砚，虽然事业如日中天，但女友刘真离去留下的阴影在其心里始终挥之不去。周一一的活泼大方深得尤医生的喜爱，遂将儿子曹砚介绍给一一认识。两人一见面即是针尖对麦芒，搞得人仰马翻。当周一一得知曹砚就是尤医生的儿子时，更是大跌眼镜。而周一一的同居闺蜜上官燕和马路却是不打不相识。
尽管随何先生一再强调自己的身份，想要守城的士兵回他回来，他已经精疲力尽。
居住在光雾山中的年轻寡妇林山花偶然救了越狱在逃的秦大海，俩人在相处中逐步产生了感情。后因人告密秦被抓回监狱。林得知秦的冤情煞费苦心将被凶手打成失忆症的冬梅救醒；凶手为杀人灭口将林和冬梅一起绑架并欲杀害。为掩护冬梅林被歹人活活烧死……
Men: 500 meters, 1,000 meters, 1500 meters, 5,000 meters, 10,000 meters;
他们在“款待”客人的同时，偶尔还会解决客人的“烦恼”。
云影幸而没的茶喝，不然非喷出来不可，她郁闷地说道：那我再生一个？可也来不及了，就算明年生，也赶不上了，只好嫁给玉米。
孤儿石惠被孙大凯寡母收养，为报答孙母养育之恩，石惠与孙大凯结合。石惠发现孙大凯嗜赌，在与孙大凯离婚后又被孙大凯强奸，孙大凯因此入狱，此后，石惠接受了崔文军的求爱。面对崔母的挑剔和事业的坎坷，石惠顽强拼搏，并生下女儿瑶瑶。崔母意外发现瑶瑶原是孙大凯的女儿，要求崔文军立刻离婚。石惠带瑶瑶离开了石惠艰难创业，服装生意蒸蒸日上，崔母重病，石惠在身旁精心照顾。崔母深受感动，反过来撮合石惠和崔文军复婚。瑶瑶得了重病必须换肝，符合条件的崔文军逃走，石惠被迫找到孙大凯。换肝手术成功，但瑶瑶失明了。一直暗恋石惠的大款潘国庆破产后自杀，石惠将他救下来，却因经济纠纷被调查，孙大凯出面证实，其实是林芳所为，石惠被洗脱嫌疑。石惠的大爱与宽容感动了所有人，潘国庆也在石惠的劝说下去寻找一直深爱他的林芳。
The sole of the foot is also designed with mesh ventilation holes.
讲述了10年间无法忘记初恋的主人公穿越时空回到了10年前，和初恋之间荒唐的三角关系的故事。
爱好读书的少年春，与搜索App的怪兽·盖奇兽这一对凸凹组合，奔驰于现代世界的新感觉搭档物语，现在启动！
新加坡警察高鸿源，与妻育有二子一女高广义(陈天文饰)、高扬名(陈汉玮饰)及高惠仙(里嫔饰)。因身为警察的本分，年轻时坚持逮补犯罪的多年邻居陈木水，坐牢期间木水妻子产下女儿去世，而后木水病死在监狱，留下三位孤苦无依的孩子，陈玉琴、陈阿锦(李南星饰)及陈玉敏(王爱玲饰)。高鸿源因多年邻居关系，十分照顾玉琴一家，但阿锦从小却十分痛恨亲手抓走父亲的高鸿源。
周伟进城打工，房东大妈不幸病逝，好心帮忙的周伟被其女儿梅琳误解赶了出去，周伟只好露宿楼顶。梅琳是位京剧演员，与丈夫离异、事业不顺、生活坎坷，使她为人刻薄，但她对生活仍然充满希望。在楼顶周伟的帐蓬里她无意中读了周伟的日记，消除了对他的误会。周伟在朋友的帮助下，作起玻璃器皿的生意，梅琳热心的帮助周伟，她那种成熟女性特有的温柔和细腻深深地打动了周伟。由于年龄、性格的差异，两人之间经常发生矛盾，但每次都会从中迸出爱的火花，最终他们走到了一起。
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.
