Advantages: Solves the problem of thread insecurity.
Hue
In fact, the annual NPC and CPPCC sessions are all news wars between media reporters, "grasping" representatives and "guarding" members. They are not ambiguous at all. What they show is their professional style!
为免涉足江湖恩怨情仇，玉云龙 （萧正楠饰） 与姐玉娇凤（简慕华饰）安份守己经营客栈生意，谁料云龙为重夺旧爱艾冰冰（汤洛雯饰）芳心毅然参加新晋英雄大赛，因而牵涉揭发东厂黑幕，被东厂的仇不群（黄智贤饰）收入监牢，娇凤救弟心切，暗中放风指客栈有隐世宝物，不群不单立即释放云龙，更派出左右手仇在心（陈凯琳饰）跟随云龙到客栈收取情报，此事亦引来各路隐世英雄一一涌现，各施奇谋，期间令一直寻找杀害双亲的在心发现真相，倒戈相向对付不群之余，更与云龙产生感情，决心一同改革武林，令本已奄奄一息的武林再现生气，但二人却陷入本是慈悲老人任我飞（姜大卫饰）筹谋已久的复仇大计……
以昭和音乐史上极具代表性的作曲家古关裕，和他的歌手妻子金子为原型，讲述为音乐而生的夫妻物语。
助理小田向林思明汇报道。
Steve McGarrett侦探（Alex O'Loughlin扮演）曾经是一位获得过荣誉勋章的海军军官，退役后当上了警察。为了调查父亲的谋杀案，他返回了家乡瓦胡岛（夏威夷群岛的主岛）。夏威夷州长认为Steve是个难得的人才，执意挽留他在岛上工作。她想让Steve组建一支专门负责调查重案的精英团队－－规矩由他来定，她在幕后提供支援。这支命名为「Five-0」（50）的团队不走过场，不玩花样，只要能抓住岛上最大的匪帮首领，他们就算是把天弄塌了也没事。
咳咳。
想来那日他是听说了小妹前往会稽山的事情，所以匆匆忙忙赶过来。
五月初，南雀国，孔雀城王宫一间大殿内，青鸾公主看了军中情报，颓然对南灵王道：叔父，靖军已经制住瘟疫了。
Chapter 26
你们想想，谁家没几门亲戚？蝉儿也有外婆舅舅的，大舅奶奶也有娘家，大舅奶奶的儿媳妇也有娘家，淼淼去了能自在？还是跟师傅说的，在后院躲两天就是了。
Advantages:
你不也是男人？你才是什么事都没干好不好。
范依兰进入越国后宫，顿时引起了不小的风波。
Female journalists prefer red clothes and heavy makeup, which is also their professional pursuit of quickly obtaining news resources. However, this is only a stepping stone. If we pursue good news, we need to design more valuable questions to have more professional charm.
与此同时，官府在收税的时候还必然刮你一层，层层剥削之下，这三百名村民必然苦不堪言，为免除这可怕的境况，要么逃亡，要么起义，要么被迫加入投靠献地的行列，放弃自己的土地，交租子给地主，这总比朝廷的赋役要轻一些。
Actual combat second damage = skill damage coefficient * (weapon DPH + jewelry DPH + deputy DPH) * 60/target gear * (1 + main attribute damage bonus) * (1 + critical strike probability * critical strike damage) * (1 + category A cumulative damage) * (1 + category B cumulative damage) * (1 + independent damage 1) * (1 + independent damage 2) *... * (1 + independent damage n)
In practice, we often see some of the most advanced groups of spammers trying to derail Gmail filters by reporting a large amount of spam as non-spam. As shown in the figure, from the end of November 2017 to the beginning of 2018, there were at least four large-scale malicious actions trying to distort our classifier.
