CH1, …
《栗子人》以哥本哈根宁静的郊外为背景，在十月份一个狂风大作的早晨，警察发现了一件恐怖的事情。一名年轻女子在操场被残忍谋杀，并且她的一只手不见了。她的身旁放了一个用栗子做成的小人。雄心勃勃的年轻侦探纳亚·图林（达妮卡·库尔西奇饰）和她的新搭档马克·赫斯（米克尔·福尔斯加德饰）奉命调查这个案子。他们很快就发现了一个关于栗子人的神秘证据，这个证据与一年前失踪并被认定已死亡的一个女孩有关：政治家罗莎·哈通（艾本·多尔纳饰）的女儿。
再后来，也不知怎么就缠上田翰林了……大苞谷认真听着，低声问道：这些事小丁子怎么打听出来的？可别把咱们给扯进去。
⻰渊王朝⾃建国以来，⻰渊帝赵禹⽂治武功，内平定叛乱，外铲除蛮夷，⻰渊王朝⼀⽚繁荣昌盛。浑天监察院司正⽩⼀童陪同⻄苑都护府孙都护，⼀同前往⻄苑调查蝗灾霍乱百姓之事。浑天监察院执掌观察天象，推算节⽓，制定历法之责，常常能从怪相中寻找到⾮同寻常的线索，因⽽破获了不少奇案，深受皇上赵禹的信任。历代司正古板⼜严肃，所到之处⼈⼈皆噤若寒蝉，俯⾸听命。⽩⼀童作为本代司正显得有些吊⼉郎当，除了折腾他的司盘和观星镜，看上去整天游⼿好闲。他的师⽗司空翀闲云野鹤不问世事，⼀⼼在监察院沉迷钻研。⽩⼀童和孙都护在调查蝗灾中查到⼀处矿洞，矿洞内⽣出⽆数蝗⾍肆意攻击洞内之⼈。⽩⼀童⻅事出诡异，与孙都护返回都城禀报.....
After being diagnosed with depression, Mary asked for sick leave from work and recuperated at home. She became easily tired, sensitive, unable to get out of bed, and more vulnerable than a child. Although efforts were made to control words and deeds in front of the children, the children still felt depressed.
Finally, I quote Leo: 70% of SOC construction and operation will be stuck.
For example, Lv Meng's basic attack power in the above picture is 7600 points.
他看着秦淼和魏铁道：就拿咱们这一火来说，除了我们三个人要壮实些，其他人都差远了。
影片改编自阿加莎·克里斯蒂的同名小说，将故事背景搬到了现代。讲述了一起发生在火车上的谋杀案。
新奥尔良是美国圣诞节最狂欢的城市！一年一度的狂欢节使这个城市又疯狂起来了，但今年的狂欢节却更加的惊心动魄…… 德沃公园突然发生恐怖的地陷灾难，一名工人不幸遇难！身为市长助理的艾丽森马上前往现场察看。白天的惊慌还未完全散去，傍晚又有一处地方发生地下沧陷，整个城市都陷入了恐慌当中！艾丽森只有请求男友——地质专家马特帮忙勘察。 马特因几年前矿场的塌陷而心存阴影，不愿再涉足勘察工作。在女友艾丽森的坚持下马特终于同意。但马特认为整个城市随时都可能发生全部地陷！今年的狂欢活动应停止举行，并马上疏散人群，做好保护工作……政府最终并没有采取马特的意见，狂欢活动照常举行。但马特仍未放弃勘察！ 最终马特能否拯救整个新奥尔良城市呢?
本剧讲述了所有人都想走考上大学这条路,即使不是大学也要寻找自己的梦想的特性化高中的孩子们的故事。
Koharu did not dare to leave, so several defenders agreed to take turns on duty to see when the second boss would come out. The next morning, another group of defenders came to "change shifts."
枝山因为种种迹象认定秋香就是
Squat down, grab bars, lift, shoulder support, bow legs, clean and jerk... on the afternoon of the 8th, when the peninsula reporter came to the weightlifting training hall of the city sports school, the afternoon training class had already begun, and more than 20 female athletes were silently repeating their exercises and lifting barbells again and again. Different from the traditional impression of reporters, weightlifters are short and stout. Some of the girls here are over 1.70 meters tall. Most of them are well-proportioned, with beautiful hips and tight arms. Only a few of them are tall and stout, while the rest can't see any trace of stout. "Because China used to do weightlifting at small levels, people saw the success of 48kg and 52kg athletes, so they took it for granted that weightlifting would make people grow short, but in fact scientific practice would not affect children's height development. Just imagine, even in daily life, how tall can a person weightlifting about 100kg be? Plus muscular will appear stout, but this does not mean that all weightlifters are stout. Five or six little girls in our team are over 1.70 meters tall, and some boys are nearly 1.90 meters tall. " Liu Eryong, coach of the women's weightlifting team, told reporters that weightlifting not only did not affect the height of the children, but also did not destroy their figure. "As you can see, because of the long-term squat practice, the children's thighs and buttocks are very beautiful. Some small fat people have lost more than 10 kg in a few months and their muscle lines look better. With the deepening of scientific training, weightlifting is no longer the sport that people think destroys their bodies. "
《寻秦记》不过是胡编乱造一通，扭曲历史罢了。
东京大田区，在羽田机场附近一处可以称之为乡下的地方，有一间叫“九十九堂”的旧书店。书店以漫画为中心搜罗了各种旧书，顾客群广泛。店主九十九樱平静地过着日子。旧书店深处有一间被唤作“休息室”的房间，那里常聚集着一群不知来自何方且无处可去的人。店主阿樱不深究这些人的来历，而是 端出亲子饭款待饥肠辘辘的他们，而且亲子饭对任何人都是免费的。无处可去的人们在填饱肚子的同时，内心也得到了温暖。他们渐渐地把自己的事说给阿樱听。阿樱静静地听着，有时也会和他一起流泪。她的口头禅就是：“想哭的时候尽管哭吧。因为落下的泪珠会开出幸福之花。”来吃亲子饭的人中，有因复杂的家庭环境而烦恼的女老师，有杀过人、从少年管教所里出来后仍寻找“爱”的少年，有在公司失去地位的自闭男性。人人都有各种的故事。而阿樱自己也有必须面对的悲伤往事 。
我说老钱，为了你小命着想，还是不要欺负人了。
1. As a math student, I have studied math for four years, and I don't agree with the bibliography you gave at random. First, there is no step type and it is unfriendly to beginners. Your title and the purpose of writing this series are probably for Xiaobai to see. So, may I ask, a Xiaobai needs to see the principle of mathematical analysis? ? Is it necessary to look at Princeton Calculus Principle to learn artificial intelligence? ? In my shallow understanding, the biggest difference between mathematical analysis and advanced mathematics is the same theorem. High numbers only require that they can be used. Mathematical analysis is rigorous and will definitely give proof. However, for the mathematics needed in most artificial intelligence, you need to prove the correctness and completeness of this theorem in your work? ? I'm afraid the project will be closed long ago when you prove it. You replied to me that this is only a bibliography, not a recommended bibliography, but most of the following comments decided to give up when they saw the book list. If you put these books out, it will be instructive to those who read your articles. I think you are misleading people. Second, I have roughly deduced from the number of references you have made that you may not have a framework for the mathematics of the whole artificial intelligence, otherwise there would not have been such irresponsible recommendations. However, out of respect for you, I did not question your ability. I only gave a brief recommendation in the comments on the suitable math bibliography for beginners.
