Bile USA was awarded several awards by J.D. Power and Associates, including the "2004 Highest Evaluation Award for Wireless User Services" and the "2004 Best Satisfaction Award for Overseas Users of Wireless Retail Services". In the United States, T-Mobile has deployed more than 4500 hotspots for Wi-Fi wireless Internet access in many places including airports, airport clubs, Starbucks coffee shops, Kinkos, Borders Books and Music. The Wi-Fi infrastructure was acquired by T-Mobil through the acquisition of WISP MobileStar. T-Mobile's global spokesperson is actress Katherine Zeta-Jones. The spokesperson for VoiceStream Wireless in North America (before it was acquired by T-Mobile) was Jamie Lee Curtis. While Zeta Jones was the global spokesperson, T-Mobile USA began to use rap singer Snoop Dogg as the spokesperson for the company's T-Mobile Sidekick advertising series in late 2004. "T" stands for "Telecom" in the company name. All subsidiaries of Deutsche Telekom begin with "T". T-Mobile is also a sponsor of several sports teams named after him, such as its own cycling team, T-
《谍海追踪》作为当代反窃密、防泄密，展现我国国安人员为捍卫国家安全与境外间谍生死较量的电视剧，极其注重剧作的合理性与事件的逻辑性，故事情节跌宕起伏，矛盾冲突一触即发。同时该剧融入不少“烧脑”情节，黑客、间谍等独特亮点元素也在其中，是近年来谍战剧中难得的诚意之作。
If the customer asks the time question, don't blindly promise the detailed time "We will make it up for you within 12 hours. Oh, calm down, dear
狗娃死水一般平静枯燥的生活在某天他给牛喂草时被突然铲出的一个哑女给打破了。哑女的一举一动充满了诡异，在二丫的眼里哑女就是神仙姐姐，狗娃哭笑不得。狗娃犯难了！他要在从小一直喜欢他的二凤和哑女之间作出选择，周公安开始介入调查却一直无果。通过医生狗娃知道了哑女的秘密，狗娃没有退缩，他相信爱能融化一切。山上如画般的湖边，狗娃的爱心终于有了回报：哑女开口了！然而，她开口的第一句话却是“我杀人了……”
一名童养媳长大后成了一位神秘寡妇，掌管整个家庭的她内心藏有一个痛苦的过去，而她村里的男子遭受着死于超自然力量的厄运。
凯特是个执着追求芭蕾舞梦想的女孩，她未经受过任何专业训练，通过录像带模仿练习，舞技出众。其父沉迷博彩不关心凯特，但是妹妹却力挺她完成梦想。她来到美国芭蕾舞学院面试，然而主考官里弗斯出于功利放弃了她，选择了名门之后。然而，凯特的舞技还是令人侧目，特别是另一考官库伯和入选者汤米。前者曾为她据理力争，而后者则对她一见倾心。
《模拟结婚》为终身大事烦恼的单身OL盛田成美（石原さとみ 饰），偶然遇到自称模拟结婚咨询员的并木（北村有起哉 饰）。在对方的介绍下，成美打算通过模拟结婚体验一下婚后生活。
这是一部以真实故事为基础的虚构剧集，背景为编剧James Graham本人成长的一个诺丁汉郡矿业村。故事聚焦两起惊人的谋杀案，谋杀案导致本就分裂的社区彻底破碎，并引发了英国史上最大型的追捕行动之一。当地警局的Ian St Clair督察和伦敦警察厅的Kevin Salisbury，两人必须放下过去的竞争，共同侦破案件。人们普遍怀疑，这些死亡事件有可能激化了1980年代矿工罢工期间引发的历史性分歧，致使众多家庭破裂。
"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.
年轻的网络设计师陶侃（陆毅扮演）在一次作品比赛中结识了柳翠芸（蒋虹扮演）。两人为一件作品产生争议，互不服输，成了“冤家”。陶侃与好友，香港青年何嘉林（陈浩民扮演）、杨慧敏（叶璇扮演）成立了青春网销公司，立志要在这一新兴行业中有所作为。不料，翠芸工作的欣欣房产公司与青春公司恰在同一幢办公大楼内，陶侃和翠芸，冤家路窄，两人一见面就相互嘲讽……
不知她怎样了，找到住处没有。
他头一次用心地想这亲事，竟觉得除了秦淼，再没旁人了。
As long as it is a red-printed household registration, it will not be affected in any way.
章邯笑道：说什么呢？你着急地跑过来是不是想说我们这样停下来，蒲俊可就要进入江陵城了，怕被蒲将军抢去了首功是不是啊？被章邯猜中了心思，周大不由的有些脸红，低头道：知道瞒不过上将军，确实如此，我们得赶紧了。
东陵珍宝不翼而飞。蒋介石、阎锡山闻讯先后抵达北平。蒋介石连夜召见军政要员，指令阎锡山尽快审判盗墓元凶。老奸巨猾的阎锡山为保存实力与蒋介石抗衡，故意拖延时间，提出必须捉住那辛庭方可开庭。孙殿英借此喘息机会，一面派人四处搜寻珍宝和那辛庭，一面多方求情，上下行贿。那辛庭被押到一座神秘的山寨，为搞清真相，他拒绝饮食。孙殿英发兵围山的密令被三姨太得知，她急告郭颂上山援救那辛庭。道长沈九将那辛庭绑在剥皮柱上，霎那间，那辛庭的生命危在旦夕。
Kankaew是一个从外省到曼谷上学的女孩，她通过卖身来赚钱，然后进入上层。她最好的朋友是Chala，她是个平凡的女孩，用做女服务员的收入来支付自己的信用卡费用。Kankaew和在外省教学的Gunchorn老师交往，与此同时她还和公司老板Arwut暧昧，但后来她决定 和俩人都分手，因为她喜欢奢侈的生活，但Gunchorn和Arwut都没法帮她支付这些费用，因此她得找到一个新的可以为她做这些的男人。然后她遇到了Choan，他是百万富翁的唯一继承人，是个花花公子。Kankaew 用她的魅力和床上功夫来诱惑他，他迷上了她。在那之后，Choan搬去Kankaew的公寓和她一起住，而他的妈妈停了他的零花钱。他变成了一个从Kankaew那里不停要钱的皮条客。随后他们分手，她让他回到他妈妈身边，因为她没法再忍受和他待在一起。时间流逝，她离开了前任经纪人，并遇见了另一个皮条客Kiaw Dutson。他让她接客，如果她不肯就会受到殴打，并得收拾包袱滚蛋。某天有个客人雇她陪他去英国玩乐。她打算答应，因为她想要离开Kiaw。Kankaew意识到她被卖到了国外并被送到了德国。她觉得自己到了地狱，因为她得整日整夜地接客直到生病。然后Kankaew就算被打也不想再忍，也不会再屈服了。 最后，她努力抗争这些折磨。
我们现在签约？陈启笑了笑，说道。
He who gives up time, time also gives up him. -Shakespeare
她没有忽视玉米那一震的神情——他认得自己。
In reality, we often encounter multi-classification learning tasks. Some two-classification learning methods can be directly extended to multi-classification, but in more cases, we use two-classification learners to solve multi-classification problems based on some basic strategies. Therefore, the fundamental method of multi-classification problem is still the two-classification problem.
