航海王和之国总集篇合集，巴托的秘密房间系列
该剧讲述了鬼马少女叶安安考入数学系后偶遇学科之灵，在同数学之灵束雪大人（周士原饰）的朝夕相处下互生情愫，最终勇敢追爱的故事。
"Vietnam is rich in bamboo rats, I did hear some veteran comrades who took part in the 79-year border counterattack say that, It is said that many wounded and sick people did not have time to withdraw from their positions and were bitten or even killed by bamboo rats. This has happened to both the Vietnamese army and our side. Moreover, bamboo rats also like to go out collectively to eat the bodies left over from the battlefield. Is it because swarms of bamboo rats attacked position 142? However, the size of bamboo rats is not large, so it seems a little inappropriate to say that they are "big rats". "I went on to ask.
极致理性的物理学霸和漫画玛丽苏谈恋爱。
Https://www.jiemian.com/article/2010120.html
Advice to decision makers and business leaders:
A grain of sand is not a pile. If one grain of sand is not a pile, then two grains of sand are not piles. If 2 grains of sand are not piles, then 3 grains of sand are not piles. By analogy, 9999 grains of sand are not piles either. Therefore, 10,000 grains of sand are not yet piled up.
借着对暴秦的仇恨，以各种名目在城中掠夺，后来愈演愈烈，上升到明抢豪夺的地步。
别假模假样了，口水都出来了。
顾人齐因为原生家庭不健全，活得孤立封闭，严重洁癖，是双娇拥有美满的家庭却遭遇车祸，痛失母亲，从此不修边幅。格格不入的两人成为了同一家清洁公司的上下级，俨然一对欢喜冤家。在工作中了解彼此之后，两个人开始惺惺相惜。是双娇在顾人齐的影响下，逐步克服了失去母亲的伤痛，重新面对自我，感情逐渐升温。有一天是双娇得知，母亲的去世不是意外，元凶竟然可能是顾人齐的外公。顾人齐陷入了愧疚，两人分手。顾人齐配合警方调查后发现，车祸的肇事者是顾家的司机，顾人齐的外公是被司机陷害的。误会解开，双娇和顾人齐重归于好。他们认识到，心灵的干净与积极，才是开启美好生活的钥匙。顾人齐改变了自己，成为了可以拥抱生活的年轻人。两人共同成长，将本来定位高端的清洁服务带入寻常百姓家，成为了千家万户的卫生卫士，重获了人生的梦想与价值。
舅舅放心，我跟他没完。
是一部以「職場騷擾」「性騷擾」「孕婦騷擾」等「騷擾」為主題展開的故事。唐澤飾演經營超市的老字號公司內「企業規章制度部門」的室長，以自己獨特的手法和視點解決來自大家的難題和奇怪問題。
这部单镜头情景喜剧松散地改编自编剧Kenya Barris的个人生活经历。主人公是一个中上阶层的黑人（Anthony meijubar.net Anderson），他试图依靠自己保留的「文化特性」来抚育子女，但却在各方面遭遇障碍：开明大方的妻子（Tracee Ellis Ross），因循守旧的父亲，还有被时代「同化」的孩子们全都反对他。
父亲癌症晚期，用电话叫回了多年未联系的女儿，试图在生命中的最后时光，与女儿达成和解...
那我走了。
他发泄似的在路上狂奔，结果失足摔了下去.等他清醒过来发现自己已经来到了一个全然陌生的地方，周围的人们也诧异的看着他.
民国初年，边城外的曹家堡遭悍匪葛七的袭击，如不以千两黄金交换人质，就将人质杀光。警骑队长铁君石一心剿匪，却与保安总对队长毛子云发生了冲突。消失了十年从重又现身的匪首姚方、北洋政府的侦探等人此时也云集边城……战乱中，同时爱上了铁君石的三个女人：绸缎庄掌柜苏锦华、女侠关家燕、农家姑娘魏小兰，又与身边的男人纠缠着恩恩怨怨……
Probability Theory: This one is not specially recommended, because it is not very good at learning, so it is misleading not to make recommendations. No matter what books you read, you just need to master the key knowledge. Can't ask Bayes when the time comes, you don't even know how to push it = =!
