CP-Kathmandu-08-05

考核要求：1、本考核采取150分制进行记分，取每一项所得分数加合即为最终得分2、得分为110分以上者可直接入组；90-110分者可发回修改（仅限一次机会），修改完毕通过（达到110分以上3、申请人请于标记为“汉语翻译”的一列上进行翻译，不得在英文原文上进行修改4、评分标准为按档评分，各档要求如下：一档：表意清晰、文笔优美、没有任何错字或病句现象，完美表达出原文大意二档：表意明确、文笔流畅，有个别次要点忽略或译错，但于原文大意无太大影响三档：基本表述出原文大意，但病句现象较多，次要点理解不到位，有一定的“翻译腔”现象四档：对原文大意理解出现偏差，有较多的病句，中文表达能力基本不过关，“翻译腔”现象严重五档：基本没有理解原文，漏译错译现象严重，表达含混不清另一：一旦发现机翻现象，则全考核按照零分处理另二：若考核中出现错别字，则每三字降一档5、考核期间允许通过灵格斯、金山词霸、维基百科等等工具查阅相关资料，但必须保证自己独立完成6、提交考核时请务必重新命名文档后再提交，文档名格式为：考生ID+领取日期+提交日期+初稿/修改，中间用7、若考核内容涉及历史知识，请务必做好考证工作。

专有名词请确认译名准确，错译专有名词者，每二处降一8、本组不提供参考译文，欢迎各位通过考核之后互相切磋9、考核截止时间为自接到考核试卷起两个工作日。

设接到考核之日为D日，则考核截止时间为D+2日的24点10、考核时间过后未能按时交卷者一律不予通过11、本考核最终解释权归蒹葭汉化组所有英文原文This solid structure can be garrisoned to defend a province and slow down invaders, even though it will not withstand a prolonged siege. No attacking general, however, would sensibly leave troops at his rear as he advances into enemy territory. A fort therefore costs time to reduce, a precious commodity in warfare. It also reminds the local peasantry of their overlord’s power, and helps that lord recruit new troops. Early Japanese fortifications were usually very practical structures, made from wood and without layered defences of walls and towers. They were intended to draw in and delay attackers rather than withstand them. Early castles were located on rivers, at ports and at other important strategic chokepoints. The builders always took full advantage of the natural landscape: mountainous positions were favoured, and nearby streams were diverted to become as moats where possible. It was common for the defenders to not lurk behind their walls when attacked: the defenders would, more often than not, sally forth to meet the enemy rather than rely on the walls. If the attackers tried to bypass the castle, the defenders would not sit idly behind their walls, but would instead raid supply lines and harass the invaders until they either retreated, or decided totake the fort.以Fame is a mayfly hovering above the unchanging water.A great temple serves as a focus for religious devotion and aplace of pilgrimage. Its monks are men of enormous faith, entirely devoted to their work. At the heart of such a temple there is often a reliquary, a focus for pilgrims. More usefully, for the temple’s noble sponsors, are the training halls and scholastic facilities that produce learned and enthusiasticmonks, eager to spread the word. The building style of the earliest Buddhist temples was not particularly Japanese, as they copied Chinese and Korean patterns. Over time these changed to become more distinctively Japanese to cope with the localclimate, and to withstand earthquakes. There was also less distinction than might be expected between Buddhist and Shinto buildings. It was not unusual to find that Buddhist temples included Shinto shrines within them, so that the local kami would not be disturbed. Likewise, larger Shinto shrines would have Buddhist temples somewhere within the shrine complex. It was only after the Meiji Restoration in 1868 that a stricter division was introduced into Japanese religious life.What is The Humanity Front?We are a group of like-minded individuals united in the belief that human life is a sacred, unique creation.We believe that our humanity is what makes us who we are - and to dilute that with steel and silicon is to dilute the very essenceof our human selves.We are the Humanity Front; a global, non-profit organization that opposes the use of human enhancement technologies.We believe in non-violent, grass roots activism, in strong and forthright exchanges of ideas, in dedicated opposition to pro-augmentation thinking, in the promotion of an viewpoint thateschews the transhumanist agenda.Attempting to improve the human condition through biological modification only diverts attention and resources from social solutions that could do the same without changing the fundamentalnature of people.We believe in something else - something better - and we wouldlike you to join us.These troops are recruited from many peoples, and have an ethosof personal, rather than collective, bravery. They are armed with curved sabres and these can cause terrible wounds in hand-to-hand combat. Although they are skilled in close combat and cavalrycharges, Deli Horsemen are primarily favoured for their speedacross ground. This makes them an obvious choice to destroyvulnerable skirmishers and artillery.Historically, Deli infantrymen and cavalry were irregular troops, and horsemen would often find employment guarding caravans and important dignitaries. By the late 18th century, the elite horsemen of the feudal Sipahis had largely disappeared, and mostof the Ottoman cavalry force was made up of the irregular Deli horse. They had no uniforms to speak of, but could be recognisedby their black felt hats. The other point of recognition, for as long as an enemy lived, was their spectacular mixture of whateverweaponry they could find or steal!2、对话翻译（4X15，3分一档，注意对话前后逻辑关系，人名可英文原文Sandman: Price - we lost the girl. Looks like the helo took herto a diamond mine in Siberia.Price: We're gonna have one shot to grab the President before he gives up the launch codes and Makarov turns Europe into glass. Price: Once we get boots on the ground it's going to get lively down there.Sandman: Hopefully you can keep up old man.Price: I know you Yanks like to take all the credit so Yuri and I will keep the neighbors in check while we roll hard to secure the hostages.Sandman: Ok. Weapons tight, guys. No one likes a dead hostage. Truck: What's the score, boss?Sandman: Everyone's hostile.Grinch: Ain't that the truth.(tip:girl=president's daughter)F-22 Pilot: This is Lightning 3-1. Guidance systems are back online. Standing by with a full payload of JDAMs. Requesting clearance.Overlord: Lightning 3-1, you are cleared to engage.F-22 Pilot: Breaking the hard deck. T.O.T. 5 seconds.F-22 Pilot: Weapons away.Overlord: Verify initial strikes on the Predator feed.Battle Captain: Sir - appears all sites have been neutralized. Overlord: Good work, Sandman. We've regained air dominance over Manhattan and pushed the front line back to the river. Sandman: What's our next target?Overlord: The Russian command vessel is an Oscar-II submarine carrying enough cruise missiles to level the Eastern seaboard. We need to strike fast before they can launch a counter attack. Sandman: Roger, what's the mission?Overlord: Infiltrate the vessel, take over the bridge, then turn their weapons against their own fleet. I need you to link up with the SEALs and get it done. Good luck.Sandman: Kit up, boys.Grinch: Where's our infil point?Sandman: Brooklyn-Battery Tunnel.Truck: I thought it collapsed.Sandman: It did.We settled Mars over a century ago. Making this dusty rock our home wasn't easy, but the promise that led us across the void was freedom¾something my family's bled for many times.For generations, we Masons have fought for the Red Faction. Many were heroes. But, heroes have enemies. And one, a self-styled "messiah" named Adam Hale, has returned with an army to conquer Mars. It's a war he's losing.----------------------Begin to Talk------------------------------Now, Hale's Cultists have captured the Terraformer, the one thing keeping our atmosphere stable, and plan to destroy it.If the Terraformer goes down, we go down with it.We're approaching the target, so listen up, people!Intel confirms that Marauder Cultists, led by Hale himself, have overrun the Terraformer. Red Faction Command speculates that Adam Hale is planning a Pyrrhic victory.Uh, uh, what, Sarge?In other words, Private, the Cultists have gone kamikaze. You see that nasty storm front ahead? Hale's already monkey-wrenched one of the atmosphere generators.Yeah, and what's a monkey wrench?It's a Pyrrhic victory.You my Specialist?Darius Mason, Third Engineers.Mason. Heh. Should've figured you'd volunteer for this one. Well, you'd better know your shit, 'cause once the hostiles are down, we need that damage reversed before the whole damn skyfalls in.Understood, Sergeant.Remember: Adam Hale is kill on sight. Now, lock and load!Our recon drone's already done a fly-over, Mason... And all itfound there was your truck.Frank!Ask your C.O. to ease up, man, I'm a veteran!Explain what you were doing at the location where the hostiles originated.I was hired by Cultists, pretending to be salvagers. Adam Halewas there, he set up the whole thing!Hale was killed at the Terraformer.Unconfirmed, we never found the body. Did we, Frank?Sir, I suppose it is possible that Hale…Sergeant! Convey Mason to base camp. Under guard.Mount up!Colonel, don't do this! he's not one of them-I can detain you as well!--------------------later, in the LAV----------------------------Approaching base camp. Entering perimeter in two klicks.This is bullshit, Frank. You should be hunting Hale and his followers.And you're sure it was him?You think I wouldn't know that voice?Then just cooperate and you'll be cleared.I've been cooperating. All it's got me is chased by a lynch mob,and rolled up by the Red Faction.Is that your girl back there?Kara? No. Well, once. Almost. I've never been known for my senseof timing.Holy shit! They're everywhere!Dismount and engage hostiles!3、说明性文本翻译（3X10，2分一档英文原文Diplomacy in King Arthur II is rather important, because thevarious diplomatic actions provide substantial bonuses and advantages. Each possible diplomatic partner has a selection of actions available. If there are no actions displayed, then diplomacy simply isn’t available with that particular power.\nDiplomatic actions may have prerequisites, chiefly a minimum reputation requirement. You can increase your reputation through your decisions in the storyline, and certain diplomaticactions like sending gifts. Once a diplomatic action becomes available, you can activate it any time. Note that activating an action does not mean you have to go through with it. You can still cancel the action, as long as you don’t make achoice.\nMost actions are permanently displayed, but some of them only appear under certain conditions, and some even disappearafter a while. Gifts are typically such actions because they are linked to certain occasions – like someone’s birthday. For this reason, it is worth to take a look at the diplomacy screenwhenever the diplomacy icon is flashing.You’ll see Artifact Forges on the Campaign Map: these are uniquelocations where you can craft your own magic items. They alsostore items and you can access these items from any other Forgelocation.\nForging itself works by dragging artifacts from yourheroes’ inventory into the forge window. There are three slotson the right side, – this is where you put your artifacts, whichwill be combined into a single new item when you press the forgebutton. The fourth slot shows you a preview of the item so youcan decide whether it’s worth commencing the forge. \nThe resultis randomly calculated, but there are rules that influenceoutcome. The “Type” slot will determine the type of your futureartifact, namely if it’s going to be a weapon, a ring, etc. The“Primary” and “Secondary” slots will influence the attributesof the new item, and all three slots have an effect on howpowerful the forged item will be: if you want a really strongitem, you have to sacrifice some of your best artifacts. Thereare no strict rules to this, so feel free to experiment.\nOnceyou’re satisfied with the preview, press the Forge button tocreate the new item. This of course, will destroy the threesource items.\n\nYou can create unique artifacts in the forge byplacing specific items in the forging slots. This usuallyinvolves component type items, which can only be used forforging. They cannot be equipped like normal items. Creatingunique artifacts is best attempted in the possession of recipeformulas, although it is also possible through experimentationand sheer luck.Hi-NRG Plasma LanceUse: High-damage, long-range weapon capable of dealing damage tomultiple targets at once provided they are very close together.Description: A next-generation weapon, the Plasma Lance isperhaps the most advanced battlefield weapon of the 2020’s, ahigh-tech firearm that projects a ‘bolt’ or ‘pulse’ ofsuperheated plasma down an ionized path toward its target. It candeliver heavy damage against medium- and heavily-armored targets- enough to actually disintegrate some of them - but only atlimited range and at a slow rate of fire. Sustained operation canalso result in temporary shutdown due to overheating.Upgrades: The weapon supports all standard upgrades, as well as aspecial Internal Coolant Enhancement (ICE) package that canprevent it from overheating during sustained firing. It is alsocompatible with laser targeting systems.Manufacturer: Connaught Technologies4、名言翻译（4X1+3X2），即前4条1分，后3条2分。

第６只粉红Ｂｒａ的桃花劫数1 秦燕南的粉红Bra 没错，那天是5月15日，星期六。

秦燕南们倾巢而动，外出进行本年度最后一次“春游”。

密谋许久的时机终于到来了。

许幼美早上10点多起床,身着嫩黄T恤，卷起碎花小睡裤，一双赤足颤巍巍踮在长凳上，此时的心跳得比见到林泽还快。

一卷维尼的卡通窗纸泻下来，半透明的一层，将室内的春光隔得隐隐绰绰。

HOHO，秦燕南，看你再秀给谁看！谁都知道，秦燕南是203的室花，兼外文系的系花。

许幼美心底她“交际花”。

她不仅将校内的帅男痞男一网打尽，还将203容貌比她差几档的MM都笼络得服服帖帖――当然，除了许幼美。

“其实呀，幼美，你比秦燕南漂亮。

”尽管这是陆小北在安慰她第N次失恋时的话，听了还是很受用。

是啊，幼美她至少算得上“凤尾”吧：粉粉团团的脸蛋，乍看多少带点无辜的可爱。

可秦燕南，你哪里知道她内心的恶毒！想到这儿，许幼美禁不住阴笑两声，脑子里一连串搞怪的QQ符号。

数天前，她在窗台上晾衣服，蓦地惊觉：大白天对面男生宿舍楼里，居然有人拿着望远镜，黑幽幽地往这边扫射。

她尖叫着喊色狼啊不行啊我们要糊窗纸，秦燕南则在旁边不屑地冷笑，说，大家举手表决。

那眼神显摆着遮不住的光芒，挑明了即便有色狼也是为了看她秦大系花。

结果是众人一边倒。

许幼美两眼望天，默念着203都是走光狂，203都是走光狂！现在，她要趁秦派党羽不在，将四面窗户糊得灿灿生辉！风和日丽，现世安稳……美好词汇又接连从许幼美脑子里冒出来。

只是，她没想到下一个词居然是――晴天霹雳，只听楼下一声惨叫……天啦，竟是秦燕南的粉红Bra被风吹落，砸到了某男头上！2 陆小北，你死定了秦燕南袅袅娜娜地倚着窗，娇声怨道：“讨厌，我晾在外面的Bra又不见了。

第5只了。

”众女跟着斥骂变态男。

许幼美看见此时的“秦厌男”，一副不以为耻反以为荣的XX样。

眼里喷火，头上冒汗，誓不两立……就连原本钟爱的粉红，因为秦某人喜欢，许幼美都义无反顾地舍弃了。

只是，只是，林泽，叫她如何舍弃？秦燕南也喜欢林泽，她的光芒能盖过许幼美所有的可爱之处。

Package‘sEparaTe’August18,2023Title Maximum Likelihood Estimation and Likelihood Ratio TestFunctions for Separable Variance-Covariance StructuresVersion0.3.2Maintainer Timothy Schwinghamer<***************************.CA>Description Maximum likelihood estimation of the parametersof matrix and3rd-order tensor normal distributions with unstructuredfactor variance covariance matrices,two procedures,and for unbiasedmodified likelihood ratio testing of simple and double separabilityfor variance-covariance structures,two procedures.References:Dutilleul P.(1999)<doi:10.1080/00949659908811970>,Manceur AM,Dutilleul P.(2013)<doi:10.1016/j.cam.2012.09.017>,and Manceur AM,DutilleulP.(2013)<doi:10.1016/j.spl.2012.10.020>.Depends R(>=4.3.0)License MIT+file LICENSEEncoding UTF-8LazyData trueRoxygenNote7.2.0NeedsCompilation noAuthor Ameur Manceur[aut],Timothy Schwinghamer[aut,cre],Pierre Dutilleul[aut,cph]Repository CRANDate/Publication2023-08-1807:50:02UTCR topics documented:data2d (2)data3d (2)lrt2d_svc (3)lrt3d_svc (5)mle2d_svc (7)12data3d mle3d_svc (8)sEparaTe (10)Index11 data2d Two dimensional data setDescriptionAn i.i.d.random sample of size7from a2x3matrix normal distribution,for a small numerical example of the use of the functions mle2d_svc and lrt2d_svc from the sEparaTe packageUsagedata2dFormatA frame(excluding the headings)with42lines of data and4variables:K an integer ranging from1to7,the size of an i.i.d.random sample from a2x3matrix normal distributionId1an integer ranging from1to2,the number of rows of the matrix normal distributionId2an integer ranging from1to3,the number of columns of the matrix normal distribution value2d the sample data for the observed variabledata3d Three dimensional data setDescriptionAn i.i.d.random sample of size13from a2x3x2tensor normal distribution,for a small numerical example of the use of the functions mle3d_svc and lrt3d_svc from the sEparaTe packageUsagedata3dFormatA frame(excluding the headings)with156lines of data and5variables:K an integer ranging from1to13,the size of an i.i.d.random sample from a2x3x2tensor matrix normal distributionId3an integer ranging from1to2,the number of rows of the3rd-order tensor normal distribution Id4an integer ranging from1to3,the number of columns of the3rd-order tensor normal distribu-tionId5an integer ranging from1to2,the number of edges of the3rd-order tensor normal distribution value3d the sample data for the observed variablelrt2d_svc Unbiased modified likelihood ratio test for simple separability of avariance-covariance matrix.DescriptionA likelihood ratio test(LRT)for simple separability of a variance-covariance matrix,modified tobe unbiased infinite samples.The modification is a penalty-based homothetic transformation of the LRT statistic.The penalty value is optimized for a given mean model,which is left unstruc-tured here.In the required function,the Id1and Id2variables correspond to the row and column subscripts,respectively;“value2d”refers to the observed variable.Usagelrt2d_svc(value2d,Id1,Id2,subject,data_2d,eps,maxiter,startmat,sign.level,n.simul)Argumentsvalue2d from the formula value2d~Id1+Id2Id1from the formula value2d~Id1+Id2Id2from the formula value2d~Id1+Id2subject the replicate,also called the subject or individual,thefirst column in the matrix (2d)datafiledata_2d the name of the matrix dataeps the threshold in the stopping criterion for the iterative mle algorithm(estimation) maxiter the maximum number of iterations for the mle algorithm(estimation)startmat the value of the second factor variance-covariance matrix used for initialization,i.e.,to start the mle algorithm(estimation)and obtain the initial estimate of thefirst factor variance-covariance matrixsign.level the significance level,or rejection rate in the testing of the null hypothesis of simple separability for a variance-covariance structure,when the unbiased mod-ified LRT is used,i.e.,the critical value in the chi-square test is derived bysimulations from the sampling distribution of the LRT statistic n.simul the number of simulations used to build the sampling distribution of the LRT statistic under the null hypothesis,using the same characteristics as the i.i.d.random sample from a matrix normal distributionOutput“Convergence”,TRUE or FALSE“chi.df”,the theoretical number of degrees of freedom of the asymptotic chi-square distribution that would apply to the unmodified LRT statistic for simple separability of a variance-covariance structure“Lambda”,the observed value of the unmodified LRT statistic“critical.value”,the critical value at the specified significance level for the chi-square distribution with“chi.df”degrees of freedom“mbda”will indicate whether or not the null hypothesis of separability was rejected, based on the theoretical LRT statistic“Simulation.critical.value”,the critical value at the specified significance level that is derived from the sampling distribution of the unbiased modified LRT statistic“mbda.simulation”,the decision(acceptance/rejection)regarding the null hypothesis of simple separability,made using the theoretical(biased unmodified)LRT“Penalty”,the optimized penalty value used in the homothetic transformation between the biased unmodified and unbiased modified LRT statistics“U1hat”,the estimated variance-covariance matrix for the rows“Standardized_U1hat”,the standardized estimated variance-covariance matrix for the rows;the standardization is performed by dividing each entry of U1hat by entry(1,1)of U1hat“U2hat”,the estimated variance-covariance matrix for the columns“Standardized_U2hat”,the standardized estimated variance-covariance matrix for the columns;the standardization is performed by multiplying each entry of U2hat by entry(1,1)of U1hat“Shat”,the sample variance-covariance matrix computed from the vectorized data matrices ReferencesManceur AM,Dutilleul P.2013.Unbiased modified likelihood ratio tests for simple and double separability of a variance-covariance structure.Statistics and Probability Letters83:631-636.Examplesoutput<-lrt2d_svc(data2d$value2d,data2d$Id1,data2d$Id2,data2d$K,data_2d=data2d,n.simul=100)outputlrt3d_svc An unbiased modified likelihood ratio test for double separability of avariance-covariance structure.DescriptionA likelihood ratio test(LRT)for double separability of a variance-covariance structure,modified tobe unbiased infinite samples.The modification is a penalty-based homothetic transformation of the LRT statistic.The penalty value is optimized for a given mean model,which is left unstructured here.In the required function,the Id3,Id4and Id5variables correspond to the row,column and edge subscripts,respectively;“value3d”refers to the observed variable.Usagelrt3d_svc(value3d,Id3,Id4,Id5,subject,data_3d,eps,maxiter,startmatU2,startmatU3,sign.level,n.simul)Argumentsvalue3d from the formula value3d~Id3+Id4+Id5Id3from the formula value3d~Id3+Id4+Id5Id4from the formula value3d~Id3+Id4+Id5Id5from the formula value3d~Id3+Id4+Id5subject the replicate,also called individualdata_3d the name of the tensor dataeps the threshold in the stopping criterion for the iterative mle algorithm(estimation) maxiter the maximum number of iterations for the mle algorithm(estimation)startmatU2the value of the second factor variance-covariance matrix used for initialization startmatU3the value of the third factor variance-covariance matrix used for initialization,i.e.,startmatU3together with startmatU2are used to start the mle algorithm(estimation)and obtain the initial estimate of thefirst factor variance-covariancematrix U1sign.level the significance level,or rejection rate in the testing of the null hypothesis of simple separability for a variance-covariance structure,when the unbiased mod-ified LRT is used,i.e.,the critical value in the chi-square test is derived bysimulations from the sampling distribution of the LRT statistic n.simul the number of simulations used to build the sampling distribution of the LRT statistic under the null hypothesis,using the same characteristics as the i.i.d.random sample from a tensor normal distributionOutput“Convergence”,TRUE or FALSE“chi.df”,the theoretical number of degrees of freedom of the asymptotic chi-square distribution that would apply to the unmodified LRT statistic for double separability of a variance-covariance structure“Lambda”,the observed value of the unmodified LRT statistic“critical.value”,the critical value at the specified significance level for the chi-square distribution with“chi.df”degrees of freedom“mbda”,the decision(acceptance/rejection)regarding the null hypothesis of double sep-arability,made using the theoretical(biased unmodified)LRT“Simulation.critical.value”,the critical value at the specified significance level that is derived from the sampling distribution of the unbiased modified LRT statistic“mbda.simulation”,the decision(acceptance/rejection)regarding the null hypothesis of double separability,made using the unbiased modified LRT“Penalty”,the optimized penalty value used in the homothetic transformation between the biased unmodified and unbiased modified LRT statistics“U1hat”,the estimated variance-covariance matrix for the rows“Standardized_U1hat”,the standardized estimated variance-covariance matrix for the rows;the standardization is performed by dividing each entry of U1hat by entry(1,1)of U1hat“U2hat”,the estimated variance-covariance matrix for the columns“Standardized_U2hat”,the standardized estimated variance-covariance matrix for the columns;the standardization is performed by multiplying each entry of U2hat by entry(1,1)of U1hat“U3hat”,the estimated variance-covariance matrix for the edges“Shat”,the sample variance-covariance matrix computed from the vectorized data tensorsReferencesManceur AM,Dutilleul P.2013.Unbiased modified likelihood ratio tests for simple and double separability of a variance-covariance structure.Statistics and Probability Letters83:631-636.Examplesoutput<-lrt3d_svc(data3d$value3d,data3d$Id3,data3d$Id4,data3d$Id5,data3d$K,data_3d=data3d,n.simul=100)outputmle2d_svc Maximum likelihood estimation of the parameters of a matrix normaldistributionDescriptionMaximum likelihood estimation for the parameters of a matrix normal distribution X,which is char-acterized by a simply separable variance-covariance structure.In the general case,which is the case considered here,two unstructured factor variance-covariance matrices determine the covariability of random matrix entries,depending on the row(one factor matrix)and the column(the other factor matrix)where two X-entries are.In the required function,the Id1and Id2variables correspond to the row and column subscripts,respectively;“value2d”indicates the observed variable.Usagemle2d_svc(value2d,Id1,Id2,subject,data_2d,eps,maxiter,startmat)Argumentsvalue2d from the formula value2d~Id1+Id2Id1from the formula value2d~Id1+Id2Id2from the formula value2d~Id1+Id2subject the replicate,also called individualdata_2d the name of the matrix dataeps the threshold in the stopping criterion for the iterative mle algorithmmaxiter the maximum number of iterations for the iterative mle algorithmstartmat the value of the second factor variance-covariance matrix used for initializa-tion,i.e.,to start the algorithm and obtain the initial estimate of thefirst factorvariance-covariance matrixOutput“Convergence”,TRUE or FALSE“Iter”,will indicate the number of iterations needed for the mle algorithm to converge“Xmeanhat”,the estimated mean matrix(i.e.,the sample mean)“First”,the row subscript,or the second column in the datafile“U1hat”,the estimated variance-covariance matrix for the rows“Standardized.U1hat”,the standardized estimated variance-covariance matrix for the rows;the stan-dardization is performed by dividing each entry of U1hat by entry(1,1)of U1hat“Second”,the column subscript,or the third column in the datafile“U2hat”,the estimated variance-covariance matrix for the columns“Standardized.U2hat”,the standardized estimated variance-covariance matrix for the columns;the standardization is performed by multiplying each entry of U2hat by entry(1,1)of U1hat“Shat”,is the sample variance-covariance matrix computed from of the vectorized data matrices ReferencesDutilleul P.1990.Apport en analyse spectrale d’un periodogramme modifie et modelisation des series chronologiques avec repetitions en vue de leur comparaison en frequence.D.Sc.Dissertation, Universite catholique de Louvain,Departement de mathematique.Dutilleul P.1999.The mle algorithm for the matrix normal distribution.Journal of Statistical Computation and Simulation64:105-123.Examplesoutput<-mle2d_svc(data2d$value2d,data2d$Id1,data2d$Id2,data2d$K,data_2d=data2d) outputmle3d_svc Maximum likelihood estimation of the parameters of a3rd-order ten-sor normal distributionDescriptionMaximum likelihood estimation for the parameters of a3rd-order tensor normal distribution X, which is characterized by a doubly separable variance-covariance structure.In the general case, which is the case considered here,three unstructured factor variance-covariance matrices determine the covariability of random tensor entries,depending on the row(one factor matrix),the column (another factor matrix)and the edge(remaining factor matrix)where two X-entries are.In the required function,the Id3,Id4and Id5variables correspond to the row,column and edge subscripts, respectively;“value3d”indicates the observed variable.Usagemle3d_svc(value3d,Id3,Id4,Id5,subject,data_3d,eps,maxiter,startmatU2,startmatU3)Argumentsvalue3d from the formula value3d~Id3+Id4+Id5Id3from the formula value3d~Id3+Id4+Id5Id4from the formula value3d~Id3+Id4+Id5Id5from the formula value3d~Id3+Id4+Id5subject the replicate,also called individualdata_3d the name of the tensor dataeps the threshold in the stopping criterion for the iterative mle algorithmmaxiter the maximum number of iterations for the iterative mle algorithmstartmatU2the value of the second factor variance covariance matrix used for initialization startmatU3the value of the third factor variance covariance matrix used for initialization,i.e.,startmatU3together with startmatU2are used to start the algorithm andobtain the initial estimate of thefirst factor variance covariance matrix U1Output“Convergence”,TRUE or FALSE“Iter”,the number of iterations needed for the mle algorithm to converge“Xmeanhat”,the estimated mean tensor(i.e.,the sample mean)“First”,the row subscript,or the second column in the datafile“U1hat”,the estimated variance-covariance matrix for the rows“Standardized.U1hat”,the standardized estimated variance-covariance matrix for the rows;the stan-dardization is performed by dividing each entry of U1hat by entry(1,1)of U1hat“Second”,the column subscript,or the third column in the datafile“U2hat”,the estimated variance-covariance matrix for the columns“Standardized.U2hat”,the standardized estimated variance-covariance matrix for the columns;the standardization is performed by multiplying each entry of U2hat by entry(1,1)of U1hat“Third”,the edge subscript,or the fourth column in the datafile“U3hat”,the estimated variance-covariance matrix for the edges“Shat”,the sample variance-covariance matrix computed from the vectorized data tensorsReferenceManceur AM,Dutilleul P.2013.Maximum likelihood estimation for the tensor normal distribution: Algorithm,minimum sample size,and empirical bias and dispersion.Journal of Computational and Applied Mathematics239:37-49.10sEparaTeExamplesoutput<-mle3d_svc(data3d$value3d,data3d$Id3,data3d$Id4,data3d$Id5,data3d$K,data_3d=data3d) outputsEparaTe MLE and LRT functions for separable variance-covariance structuresDescriptionA package for maximum likelihood estimation(MLE)of the parameters of matrix and3rd-ordertensor normal distributions with unstructured factor variance-covariance matrices(two procedures),and for unbiased modified likelihood ratio testing(LRT)of simple and double separability forvariance-covariance structures(two procedures).Functionsmle2d_svc,for maximum likelihood estimation of the parameters of a matrix normal distributionmle3d_svc,for maximum likelihood estimation of the parameters of a3rd-order tensor normaldistributionlrt2d_svc,for the unbiased modified likelihood ratio test of simple separability for a variance-covariance structurelrt3d_svc,for the unbiased modified likelihood ratio test of double separability for a variance-covariance structureDatadata2d,a two-dimensional data setdata3d,a three-dimensional data setReferencesDutilleul P.1999.The mle algorithm for the matrix normal distribution.Journal of StatisticalComputation and Simulation64:105-123.Manceur AM,Dutilleul P.2013.Maximum likelihood estimation for the tensor normal distribution:Algorithm,minimum sample size,and empirical bias and dispersion.Journal of Computational andApplied Mathematics239:37-49.Manceur AM,Dutilleul P.2013.Unbiased modified likelihood ratio tests for simple and doubleseparability of a variance covariance structure.Statistics and Probability Letters83:631-636.Index∗datasetsdata2d,2data3d,2data2d,2data3d,2lrt2d_svc,3lrt3d_svc,5mle2d_svc,7mle3d_svc,8sEparaTe,1011。

limerence原神翻译Limerence原神翻译，是近期原神玩家们热议的话题。

Limerence是一个英文词汇，原意为“热恋、热情爱慕”的意思。

在原神中，这个词被用来形容角色之间的暗恋或相互喜欢的情感状态。

Limerence原神翻译遭到了许多玩家的质疑和反对。

因为在原神中，英文名字通常被直接翻译成中文。

而limerence这个词并没有一个传统和普遍的翻译方法。

很多玩家觉得直接翻译成“热恋”不太妥当。

他们认为，limerence本身包含了一种特殊的、更加深刻的、单方面的爱慕感。

Limerence的概念被首次提出于20世纪中叶。

这个词来自于一位美国心理学家的研究成果。

他认为limerence 是人类情感的一种阶段，它会在某些人群中发生。

这种阶段的特点是，一个人对另一个人产生了单方面、疯狂的爱慕，但这种爱慕并不能得到对方的回应。

这种单恋状态经常伴随着强烈的焦虑、痛苦和欲望。

是一种强烈的情感依恋，与普通的恋爱有本质上的不同。

从这个角度上来看，limerence这个单词的翻译就显得更加具有争议性了。

因为这种单方面且失衡的情感状态，恰恰是原神游戏中一些角色之间的共性。

比如游戏中的人偶师、清流的剧情，就展示了一个角色对另一个角色的强烈爱慕，却不能得到对方的回应。

但是，反对limerence原神翻译的玩家们也有他们的立场。

他们认为，原神游戏是一个具有积极向上情感的好游戏，应该避免使用深刻和痛苦的词汇。

在这种情况下，翻译成“热恋”这个词语，是一种比较温和和友好的表达方式。

此外，还有一些玩家认为，limerence这个词在中文语境下并不是那么好理解。

目前，这个词汇并没有出现在普通的汉语词典中。

对大部分人来说，limerence是一个生僻的、难以理解的词汇，直接翻译成中文，可能不太能够传达出原意。

因此，直接翻译成“热恋”的做法，也有一些合理之处。

总的来说，limerence原神翻译这个问题，其实是一种文化交流和语言界限的问题。

游戏名称：花与乙女的祝福皇家花束英文名称：花と乙女に祝福をロイヤルブーケ游戏大小：1.5G网友评分：8.2 分，极品游戏类型：单机游戏 / 冒险解谜标签：GAL 美少女文字冒险伪娘单人单机 2D画面冒险中级水平恋爱、卡通题材开发商：ensemble语言类型：中文发行时间：2010游戏介绍：夏天！泳池！狂歡的節日!! ～都的漫長一天～連日持續炎熱，在大夏天的某日。

因為太過熱，正打算到海邊或泳池等清涼的地方去的彰和都。

但不管哪裏都是人山人海，兩人無處可去時，都好像難以開口似的提議到。

「唔——那麽，要不到我家的泳池……去？」都家裏有遊泳池的話，那一開始就叫我去不就行了。

雖然彰這樣想，但還是答應了都的提議。

就這樣，兩人打算在都家裏的私人泳池裏留下一個夏天的甜蜜回憶可是……哥哥是我的仆人？～月丘晶子的優雅一天～在立藤之會後過了一個月的某天。

妹妹晶子向月丘彰提出了在假日去約會作為害她當上了ルピナス會長的賠罪。

當然，雖然說是約會，那也是兄妹間的約定。

晶子的目的是作為賠罪要哥哥一整天聽命於自己。

對妹控的彰來說那反而是求之不得的事，馬上就答應了。

2人的意見一致，那天對月丘兄妹來說本應是快樂的一天來的但……「哥哥，那麽從今天開始就是Double晶子了喔♪」彰・男子漢化計劃～恢復性取向！～晶子「哥、哥哥……最近，你的言行是不是有點～太過像女孩子了？走路啊都腳尖朝內走的。

還有是自稱用『私』了吧？」彰「沒那回事呀。

哼呼呼。

討厭啦，晶子真是的」晶子「還、還哼呼呼地笑……」在立藤之會以學生會的勝利落下帷幕的數周後。

做晶子的替身的後遺癥，哥哥・彰女人化了。

晶子質問彰這事，但當事人是完全沒自覺到似的。

晶子「（這……這樣下去的話，哥哥會變成怪人!?）」感覺到危機感的晶子找聖佳商量，但不知為什麽學生會全員都參與了談話。

而且話題不斷向著奇怪的方向去了……心是女人。

身體是男人?! ～天法院綾音華麗軌跡～在立藤之會上，綾音雖然是答應了暗地裏對自己抱有愛意的千裏提出的求婚，但她的表情很陰沈。

双衍悖论字符
“双衍悖论”( Twin Paradox)是指一个数学或物理问题,它的答案往往需要在两个不同的情况下给出。

例如,在解决一个方程时,解的值可能会同时满足两个条件,这使得解法变得十分困难。

“双衍悖论”字符(Twin Paradox Letter)是一组由字符组成的数学问题,它的解法依赖于它们同时满足两个不同的条件。

例如,解方程E=mc2中的E和c是两个不同的物理量,但它们必须同时存在才能解决这个问题。

“双衍悖论”字符可以用数学符号表示,例如一个双引号“”,它可以表示两个物理量同时存在。

例如,如果两个“E”符号重叠在一起,表示E和c同时存在,并且它们的大小相等。

“双衍悖论”字符是数学和物理领域中的一个有趣的问题,它的存在表明在某些情况下,解法可能会同时涉及到两个不同的方面,这增加了问题的解决难度。

哈呐我的屁股好痒。

教授，你在哪儿？咕噜迪吧我们来自中国……中国……你怎么 就不懂呢？麻麻拉依叽 呱呱……妈呀，他们不会 是食人族吧！告诉食人族，我们的肉蘸芥末最好吃！你乱嚷什么。

你想被做成生鱼片呀！我可没有乱嚷。

我叫塔娜，是我的族人请你们来的。

你会说中国话！小老虎乖。

36小猫咪，叫一个。

把我们像猎物一样绑回来，这还叫请？我的族人说你们当时攻击他们，所以才……想起来了，我们被笼子罩住，后来野人来了。

不，是你的族人来了，再后来……吃点东西吧。

这是一场误会，他们不会伤害我们的。

哦。

塔西姆……诺古米哈……被打晕的是族长的儿子，你们必须用猎物来赔罪，不然你们不能离开这里。

布鲁，你干什么？我想看看他被敲晕的样子。

37族长说了，你们必须捕获三只猎物才能原谅你们。

这打猎，不会呀！我会带你们 到狩猎场。

我喜欢这 身衣服。

三只猎物，蚂蚁算吗？别胡说，最少也得抓三只野鸡什么的才能过关 吧！前面就是狩猎场，大家要小心别让猎物给溜掉 了。

不会有老虎吧？先抓几只箭蛙做毒箭。

箭头涂抹毒液，可以增加狩猎 成功率。

呜噜噜……长鼻子……哇呀呀……瞧，你们的同伴就很勇敢。

38追不到我，追不到我，哈哈哈……不好，他在往陷阱的方向跑。

这是啥怪兽？他在这儿。

布鲁。

教授，豆咪，我们这是在哪儿？布鲁，你恢复记忆了！39你们运气太好，竟然一次捕获了四只貘。

幸好貘顶了你一下，不然你也会掉到陷阱里去！族长感谢你们给大家带来这么多食物，大家多吃一点。

注意你的吃相，别让他们误会咱们是吃货。

别噎着！塔娜，你的中文说得这么好，在哪儿学的呀？有位中国人在我们这里住了很长一段时间，我帮助过他，他教会了我中文。

他叫丹迪。

这个丹迪是不是有一把大胡子，左脸上有三颗呈品字形的黑痣？他遇到了麻烦，我们就是专门来找他的。

我是他的朋友。

哦，原来你们是丹迪的朋友。

那座圣城我知道在哪儿，我带你们去。

骑玩具羊去吗？（下期精彩继续……）40。

FINAL PROGRAMTHE 2007 ACM SIGAPPSYMPOSIUM ON APPLIED COMPUTING/conferences/sac/sac2007Seoul, Korea March 11 - 15, 2007Organizing CommitteeRoger L. Wainwright Hisham M. Haddad Sung Y. ShinSascha Ossowski Ronaldo MenezesLorie M. Liebrock Mathew J. Palakal Jaeyoung Choi Tei-Wei Kuo Jiman HongSeong Tae Jhang Yookun Cho Yong Wan KooH OSTED BYSeoul National University, Seoul, Korea Suwon University, Gyeonggi-do, KoreaSPONSORED BYSAC 2007 I NTRODUCTIONSAC 2007 is a premier international conference on applied com-puting and technology. Attendees have the opportunity to hear from expert practitioners and researchers about the latest trends in research and development in their fields. SAC 2007 features 2 keynote speakers on Monday and Wednesday, from 8:30 to 10:00. The symposium consists of Tutorial and Technical programs. The Tutorial Program offers 3 half-day tutorials on Sunday March 11, 2007, starting at 9:00am. The Technical Program offers 38 tracks on a wide number of different research topics, which run from Monday March 12 through Thursday March 15, 2007. Regular sessions start at 8:30am and end at 5:00pm in 4 parallel sessions. Honorable ChairsYookun Cho, Honorable Symposium ChairSeoul National University, KoreaYong Wan Koo, Honorable Program ChairUniversity of Suwon, KoreaOrganizing CommitteeRoger L. Wainwright, Symposium ChairUniversity of Tulsa, USAHisham M. Haddad, Symposium Chair, Treasurer, Registrar Kennesaw State University, USASung Y. Shin, Symposium ChairSouth Dakota State University, USASascha Ossowski, Program ChairUniversity Rey Juan Carlos, Madrid, SpainRonaldo Menezes, Program ChairFlorida Institute of Technology, Melbourne, FloridaJaeyoung Choi, Tutorials ChairSoongsil University, KoreaTei-Wei Kuo, Tutorials ChairNational Taiwan University, ChinaMathew J. Palakal, Poster ChairIndiana University Purdue University, USALorie M. Liebrock, Publication ChairNew Mexico Institute of Mining and Technology, USAJiman Hong,Local Organization ChairKwangwoon University, KoreaSeong Tae Jhang,Local Organization ChairUniversity of Suwon, KoreaSAC 2007 Track OrganizersArtificial Intelligence, Computational Logic, and Image Analysis (AI)C.C. Hung, School of Computing and Soft. Eng., USAAgostinho Rosa, LaSEEB –ISR – IST, PortugalAdvances in Spatial and Image-based Information Systems (ASIIS)Kokou Yetongnon, Bourgogne University, FranceChristophe Claramunt, Naval Academy Research Institute, France Richard Chbeir, Bourgogne University, FranceKi-Joune Li, Prusan National University, KoreaAgents, Interactions, Mobility and Systems (AIMS)Marcin Paprzycki, SWPS and IBS PAN, PolandCostin Badica, University of Craiova, RomaniaMaria Ganzha, EUH-E and IBS PAN, PolandAlex Yung-Chuan Lee, Southern Illinois University, USAShahram Rahimi, Southern Illinois University, USAAutonomic Computing (AC)Umesh Bellur, Indian Institute of Technology, IndiaSheikh Iqbal Ahamed, Marquette University, USABioinformatics (BIO)Mathew J. Palakal, Indiana University Purdue University, USALi Liao, University of Delaware, USAComputer Applications in Health Care (CACH)Valentin Masero, University of Extremadura, SpainPierre Collet, Université du Littoral (ULCO), France Computer Ethics and Human Values (CEHV)Kenneth E. Himma, Seattle Pacific University, USAKeith W. Miller, University of Illinois at Springfield, USADavid S. Preston, University of East London, UKComputer Forensics (CF)Brajendra Panda, University of Arkansas, USAKamesh Namuduri, Wichita State University, USAComputer Networks (CN)Mario Freire, University of Beira Interior, PortugalTeresa Vazao, INESC ID/IST, PortugalEdmundo Monteiro, University of Coimbra, PortugalManuela Pereira, University of Beira Interior, PortugalComputer Security (SEC)Giampaolo Bella, Universita' di Catania, ItalyPeter Ryan, University of Newcastle upon Tyne, UKComputer-aided Law and Advanced Technologies (CLAT) Giovanni Sartor, University of Bologna, ItalyAlessandra Villecco Bettelli, University of Bologna, ItalyLavinia Egidi, University of Piemonte Orientale, ItalyConstraint Solving and Programming (CSP)Stefano Bistarelli, Università degli studi "G. D'Annunzio" di Chieti-Pescara, ItalyEric Monfroy, University of Nantes, FranceBarry O'Sullivan, University College Cork, IrelandCoordination Models, Languages and Applications (CM) Alessandro Ricci, Universita di Bologna, ItalyBernhard Angerer, Michael Ignaz Schumacher, EPFL IC IIF LIA, SwitzerlandData Mining (DM)Hasan M. Jamil, Wayne State University, USAData Streams (DS)Jesus S. Aguilar-Ruiz, Pablo de Olavide University, SpainFrancisco J. Ferrer-Troyano, University of Seville, SpainJoao Gama, University of Porto, PortugalRalf Klinkenberg, University of Dortmund, GermanyDatabase Theory, Technology, and Applications (DTTA) Ramzi A. Haraty, Lebanese American University, LebanonApostolos N. Papadopoulos, Aristotle University, GreeceJunping Sun, Nova Southeastern University, USADependable and Adaptive Distributed Systems (DADS)Karl M. Göschka, Vienna University of Technology, AustriaSvein O. Hallsteinsen, SINTEF ICT, NorwayRui Oliveira, Universidade do Minho, PortugalAlexander Romanovsky, University of Newcastle upon Tyne, UK Document Engineering (DE)Rafael Dueire Lins, Universidade Federal de Pernambuco, Brazil Electronic Commerce Technologies (ECT)Sviatoslav Braynov, University of Illinois at Springfield, USADaryl Nord, Oklahoma State University, USAFernando Rubio, Universidad Complutense de Madrid, Spain Embedded Systems: Applications, Solutions and Techniques (EMBS)Alessio Bechini, University of Pisa, ItalyCosimo Antonio Prete, University of Pisa, ItalyJihong Kim, Seoul National University, KoreaEvolutionary Computation (EC)Bryant A. Julstrom, St. Cloud State University, USA Geoinformatics and Technology (GT)Dong-Cheon Lee, Sejong University, KoreaGwangil Jeon, Korea Polytechnic University, KoreaGeometric Computing and Reasoning (GCR)Xiao-Shan Gao, Chinese Academy of Sciences, ChinaDominique Michelucci, Universite de Bourgogne, FrancePascal Schreck, Universite Louis Pasteur, FranceHandheld Computing (HHC)Qusay H. Mahmoud, University of Guelph, CanadaZakaria Maamar, Zayed University, UAEInformation Access and Retrieval (IAR)Fabio Crestani, University of Strathclyde, UKGabriella Pasi, University of Milano Bicocca, ItalyMobile Computing and Applications (MCA)Hong Va Leong, Hong Kong Polytechnic University, Hong KongAlvin Chan, Hong Kong Polytechnic University, Hong KongModel Transformation (MT)Jean Bézivin, University of Nantes, FranceAlfonso Pierantonio, Università degli Studi dell’Aquila, ItalyAntonio Vallecillo, Universidad de Malaga, SpainJeff Gray, University of Alabama at Birmingham, USAMultimedia and Visualization (MMV)Chaman L. Sabharwal, University of Missouri-Rolla, USAMingjun Zhang, Agilent Technologies, USAObject-Oriented Programming Languages and Systems (OOP) Davide Ancona, DISI - Università di Genova, ItalyMirko Viroli, Università di Bologna, ItalyOperating Systems and Adaptive Applications (OSAA)Jiman Hong, Kwangwoon University, KoreaTei-Wei Kuo, National Taiwan University, TaiwanOrganizational Engineering (OE)José Tribolet, Technical University of Lisbon, PortugalRobert Winter, University of St. Gallen, SwitzerlandArtur Caetano, Technical University of Lisbon, Portugal Programming for Separation of Concerns (PSC)Corrado Santoro, Catania University, ItalyEmiliano Tramontana, Catania University, ItalyIan Welch, Victoria University, New ZealandYvonne Coady, Victoria Univeristy, CanadaProgramming Languages (PL)Chang-Hyun Jo, California State University at Fullerton, USAMarjan Mernik, University of Maribor, SloveniaBarrett Bryant, University of Alabama at Birmingham, USAReliable Computations and their Applications (RCA)Martine Ceberio, University of Texas at El Paso, USAVladik Kreinovich, University of Texas at El Paso, USAMichael Rueher, Universite de Nice ESSI, FranceSemantic Web and Application (SWA)Hyoil Han, Drexel University, USASemantic-Based Resource Discovery, Retrieval and Composition (SDRC)Eugenio Di Sciascio, SinsInfLab Politecnico di Bari, ItalyFrancesco M. Donini, University of Tuscia, ItalyTommaso Di Noia, SinsInfLab Politecnico di Bari, ItalyMassimo Paolucci, DoCoMo Euro-Labs, GermanySoftware Engineering (SE)W. Eric Wong, University of Texas at Dallas, USAChang-Oan Sung, Indiana University Southeast, USASoftware Verification (SV)Zijiang Yang, Western Michigan University, USALunjin Lu, Oakland University, USAFausto Spoto, Universita di Verona, ItalySystem On Chip Design and Software Supports (SODSS) Seong Tae Jhang, Suwon University, KoreaSung Woo Chung, Korea University, KoreaTrust, Recommendations, Evidence and other Collaborative Know-how (TRECK)Jean-Marc Seigneur, University of Geneva, SwitzerlandJeong Hyun Yi, Samsung Advanced Institute of Technology, South Korea Ubiquitous Computing: Digital Spaces, Services and Content (UC)Achilles Kameas, Hellenic Open University, GreeceGeorge Roussos, University of London, UKWeb Technologies (WT)Fahim Akhter , Zayed University, UAEDjamal Benslimane, University of Lyon, FranceZakaria Maamar, Zayed University, UAEQusay H. Mahmoud, University of Guelph, CanadaLocal SupportLocal support for SAC 2007 is provided by the Seoul National University in Seoul, Suwon University in Gyeonggi-do, Ministry of Education and Human Resources Development, Samsung, mds technology, KETI, MIC, CVB, and ETRI. The SAC organizing committee acknowledges and thanks the local supporters for their generous contributions to SAC 2007. Their support has been essential to the success of Symposium, and is greatly appreciated. ACM SIGAPPThe ACM Special Interest Group on Applied Computing is ACM's primary applications-oriented SIG. Its mission is to further the interests of the computing professionals engaged in the development of new computing applications and applications areas and the transfer of computing technology to new problem domains. SIGAPP offers practitioners and researchers the opportunity to share mutual interests in innovative application fields, technology transfer, experimental computing, strategic research, and the management of computing. SIGAPP also promotes widespread cooperation among business, government, and academic computing activities. Its annual Symposium on Applied Computing (SAC) provides an international forum for presentation of the results of strategic research and experimentation for this inter-disciplinary environment. SIGAPP membership fees are: $30.00 for ACM Non-members, $15.00 for ACM Members, and $8.00 for Student Members. For information contact Barrett Bryant at bryant@. Also, checkout the SIGAPP website at /sigapp/M ESSAGE FROM THE S YMPOSIUM C HAIRSRoger WaiwrightUniversity of Tulsa, USAHisham M. HaddadKennesaw State University, USASung Y. ShinSouth Dakota State University, USAOn behalf of the Organization Committee, it is our pleasure to welcome you to the 22nd Annual ACM Symposium on Applied Computing (SAC 2007). This year, the conference is hosted by Seoul National University and Suwon University in Gyeonggi-do, Korea. Many thanks for your participation in this international event dedicated to computer scientists, engineers, and practitioners seeking innovative ideas in various areas of computer applications. The sponsoring SIG of this Symposium, the ACM Special Interest Group on Applied Computing, is dedicated to further the interests of computing professionals engaged in the design and development of new computing applications, interdisciplinary applications areas, and applied research. The conference provides a forum for discussion and exchange of new ideas addressing computational algorithms and complex applications. This goal is reflected in its wide spectrum of application areas and tutorials designed to provide variety of discussion topics during this event. The conference is composed of various specialized technical tracks and tutorials. As in past successful meetings, talented and dedicated Track Chairs and Co-Chairs have organized SAC 2007 tracks. Each track maintains a program committee and group of highly qualified reviewers. We thank the Track Chairs, Co-Chairs, and participating reviewers for their commitment to making SAC 2007 another high quality conference. We also thank our invited keynote speakers for sharing their knowledge with SAC attendees. Most of all, special thanks to the authors and presenters for sharing their experience with the rest of us and to all attendees for joining us in Seoul, Korea.The local organizing committee has always been a key to the success of the conference. This year, we thank our local team from Seoul National University and Suwon University. In particular, we thank Dr. Jiman Hong, from Kwangwoon University, and Dr. Seong Tae Jhang, from Suwon University, for chairing the local organization effort. We also thank Dr. Jaeyoung Choi, from Soongsil University, and Dr. Tei-Wei Kuo, from National Taiwan University, for organizing the Tutorials Program. Other committee members we also would like to thank are Lorie Liebrock for her tremendous effort putting together the conference proceedings, Mathew Palakal for coordinating another successful Posters Program, and Sascha Ossowski and Ronaldo Menezes for bringing together the Technical Program. Finally, we extend outthanks and gratitude to our honorable Symposium and Program Chairs Drs. Yookun Cho of Seoul National University and Dr. Yong Wan Koo of Suwon University. Many thanks for hosting the conference and coordinating governmental and local support. Again, we welcome you to SAC 2007 in the lively city of Seoul. We hope you enjoy your stay in Seoul and leave this event enriched with new ideas and friends. Next year, we invite you to participate in SAC 2008 to be held in the costal city of Fortaleza, Brazil. The symposium will be hosted by the University of Fortaleza (UNIFOR) and the Federal University of Ceará (UFC). We hope to see there!M ESSAGE FROM THE P ROGRAM C HAIRSSascha OssowskiUniversity Rey Juan Carlos, SpainRonaldo MenezesFlorida Institute of Technology, USAWelcome to the 22nd Symposium on Applied Computing (SAC 2007). Over the past 21 years, SAC has been an international forum for researchers and practitioners to present their findings and research results in the areas of computer applications and technology. The SAC 2007 Technical Program offers a wide range of tracks covering major areas of computer applications. Highly qualified referees with strong expertise and special interest in their respective research areas carefully reviewed the submitted papers. As part of the Technical Program, this year the Tutorial Program offers several half-day tutorials that were carefully selected from numerous proposals. Many thanks to Jaeyoung Choi from the Soongsil University and Tei-Wei Kuo from the National Taiwan University for chairing the Tutorial Program. Also, this is the fourth year for SAC to incorporate poster papers into the Technical Program. Many thanks to Mathew Palakal from Indiana University Purdue University for chairing the poster sessions. SAC 2007 would not be possible without contributions from members of the scientific community. As anyone can imagine, many people have dedicated tremendous time and effort over the period of 10 months to bring you an excellent program. The success of SAC 2007 relies on the effort and hard work of many volunteers. On behalf of the SAC 2007 Organizing Committee, we would like to take this opportunity to thank all of those who made this year's technical program a reality, including speakers, referees, track chairs, session chairs, presenters, and attendees. We also thank the local arrangement committee lead by Jiman Hong from the Kwangwoon University and Seong Tae Jhang from Suwon University. We also want to thank Hisham Haddad from Kennesaw State University for his excellent job again as the SAC Treasurer, Webmaster, and Registrar.SAC's open call for Track Proposals resulted in the submission of 47 track proposals. These proposals were carefully evaluated by the conference Executive Committee. Some proposals were rejected on the grounds of either not being appropriate for the areas that SAC covers traditionally or being of rather narrow and specialized nature. Some others tracks were merged to form a single track. Eventually, 38 tracks were established, which then went on to produce their own call for papers. In response to these calls, 786 papers were submitted, from which 256 papers were strongly recommended by the referees for acceptance and inclusion in the Conference Proceedings. This gives SAC 2007 an acceptance rate of 32.5% across all tracks. SAC is today one of the most popular and competitive conferences in the international field of applied computing.We hope you will enjoy the meeting and have the opportunity to exchange your ideas and make new friends. We also hope you will enjoy your stay in Seoul, Korea and take pleasure from the many entertainments and activities that the city and Korea has to offer. We look forward to your active participation in SAC 2008 when for the first time SAC will be hosted in South America, more specifically in Fortaleza, Brazil. We encourage you and your colleagues to submit your research findings to next year's technical program. Thank you for being part of SAC 2007, and we hope to see you in sunny Fortaleza, Brazil for SAC 2008.O THER A CTIVITIESReview Meeting: Sunday March 11, 2007, from 18:00 to 19:00 in Room 311A. Open for SAC Organizing Committee and Track Chairs and Co-Chairs.SAC 2008 Organization Meeting: Monday March 12, 2007, from 18:00 to 19:00 in Room 311A. Open for SAC Organizing Committee.SAC Reception: Monday March 12, 2007 at 19:00 to 22:00. Room 402. Open for all registered attendees.Posters Session: Tuesday March 13, 2007, from 13:30 to 17:00 in the Room 311C. Open to everyone.SIGAPP Annual Business Meeting: Tuesday March 13, 2007, from 17:15 to 18:15 in Room 311A. Open to everyone.SAC Banquet: Wednesday March 14, 2007. Rooms 331-334. Open for Banquet Ticket holders. See your tickets for full details. Track-Chairs Luncheon: Thursday April 27, 2006, from 12:00 to 13:30. Hosu (Lake) Food-mall. Open for SAC Organizing Committee, Track Chairs and Co-Chairs.SAC 2008SAC 2008 will be held in Fortaleza, Ceará, Brazil, March 16 – 20, 2008. It is co-hosted by the University of Fortaleza (UNIFOR) and the Federal University of Ceará (UFC). Please check the registration desk for handouts. You can also visit the website at /conferences/sac/sac2008/.M ONDAY K EYNOTE A DDRESSA New DBMS Architecture for DB-IRIntegrationDr. Kyu-Young WhangDirector of Advanced Information Technology Research Center, Korea Advanced Institute ofScience and Technology, Daejeon, Korea M ONDAY M ARCH 12, 2007, 9:00 – 10:00ROOM 310 A, B AND CABSTRACTNowadays, there is an increasing need to integrate the DBMS (for structured data) with Information Retrieval (IR) features (for unstructured data). DB-IR integration becomes one of major challenges in the database area. Extensible architectures provided by commercial ORDBMS vendors can be used for DB-IR integration. Here, extensions are implemented using a high-level (typically, SQL-level) interface. We call this architecture loose-coupling. The advantage of loose-coupling is that it is easy to implement. But, it is not preferable for implementing new data types and operations in large databases when high performance is required. In this talk, we present a new DBMS architectureapplicable to DB-IR integration, which we call tight-coupling. In tight-coupling, new data types and operations are integrated into the core of the DBMS engine in the extensible type layer. Thus, they are incorporated as the "first-class citizens" within the DBMS architecture and are supported in a consistent manner with high performance. This tight-coupling architecture is being used to incorporate IR features and spatial database features into the Odysseus ORDBMS that has been under development at KAIST/AITrc for over 16 years. In this talk, we introduce Odysseus and explain its tightly-coupled IR features (U.S. patented in 2002). Then, we demonstrate excellence of tight-coupling by showing benchmark results. We have built a web search engine that is capable of managing 20~100 million web pages in a non-parallel configuration using Odysseus. This engine has been successfully tested in many commercial environments. In a parallel configuration, it is capable of managing billons of web pages. This work won the Best Demonstration Award from the IEEE ICDE conference held in Tokyo, Japan in April 2005.W EDNESDAY K EYNOTE A DDRESS The Evolution of Digital Evidence asa Forensic ScienceDr. Marc RogersChair of the Cyber Forensics Program,Department of Computer and InformationTechnology, Purdue University, USAW EDNESDAY M ARCH 14, 2007, 9:00 –10:00ROOMS 310 A, B AND CABSTRACTThe field of Digital Evidence while garnering significant attention by academia, the public, and the media, has really just begun its journey as a forensic science. Digital Forensic Science (DFS) in general is an immature discipline in comparison to the other more traditional forensic sciences such as latent fingerprint analysis. Digital Evidence, which falls under the larger umbrella of DFS, truly encompasses the notion of being an applied multi-disciplinary science. The areas of Computer Science, Technology, Engineering, Mathematics, Law, Sociology, Psychology, Criminal Justice etc. all have played and will continue to play a very large role in maturing and defining this scientific field. The presentation will look at the history of Digital Forensic Science and Digital Evidence, the current state of the field, and what might be in store for the future.S EOUL R EPRESENTATIVE A DDRESSKoran IT policy - IT839Dr. Jung-hee SongAssistant MayorChief of Information OfficerInformation System Planning DivisionSeoul Metropolitan Government, KoreaW EDNESDAY M ARCH 14, 2007, 18:30 – 19:00ROOMS 331-334(DURING BANQUET)ABSTRACTKorean IT policy initiated by Ministry of Information and Communication called IT839 Strategy will be introduced. By defining government role in the u-Korea vision pursuit, it removes uncertainties for IT industry and increases its active participation. As capital of Korea, Seoul presented a grand plan to be u-Seoul. An overview of u-Seoul masterplan will be delivered with introduction of 5 specific projects.SAC 2007 S CHEDULES UNDAY M ARCH 11, 200709:00 – 17:00 L OBBYR EGISTRATION09:00 – 10:30 R OOMS 310 A AND BAM T UTORIALS IT1: Introduction to Security-enhanced Linux(SELinux)Dr. Haklin Kimm, Professor, omputer Science Department, ast Stroudsburg University of Pennsylvania, USAT2: Similarity Search - The Metric Space Approach Pavel Zezula, Masaryk University, Brno, Czech RepublicGiuseppe Amato, ISTI-CNR, Pisa, ItalyVlastislav Dohnal, Masaryk University, Brno, Czech Republic10:30 – 11:00 L OBBYC OFFEE B REAK11:00 – 12:30 R OOMS 310 A AND BAM T UTORIALS IIT1: Introduction to Security-enhanced Linux(SELinux)Dr. Haklin Kimm, Professor, omputer Science Department, ast Stroudsburg University of Pennsylvania, USAT2: Similarity Search - The Metric Space Approach Pavel Zezula, Masaryk University, Brno, Czech RepublicGiuseppe Amato, ISTI-CNR, Pisa, ItalyVlastislav Dohnal, Masaryk University, Brno, Czech Republic 12:00 – 13:30 H OSU (L AKE) F OOD-MALL,1ST F LOORL UNCH B REAK13:30 – 15:00 R OOM 310 APM T UTORIAL IT3: Introduction to OWL Ontology Developmentand OWL ReasoningYoung-Tack Park, Professor, School of Computing, SoongsilUniversity,Seoul, Korea15:00 – 15:30 L OBBYC OFFEE B REAK15:30 – 17:00 R OOM 310 APM T UTORIAL IIT3: Introduction to OWL Ontology Developmentand OWL ReasoningYoung-Tack Park, Professor, School of Computing, SoongsilUniversity,Seoul, Korea18:00 – 19:00 R OOM 311A SAC 2007 R EVIEW M EETINGM ONDAY M ARCH 12, 200708:00 – 17:00 L OBBYR EGISTRATION08:30 – 09:00 R OOM 310O PENING R EMARKS09:00 – 10:00 R OOM 310K EYNOTE A DDRESSA New DBMS Architecture for DB-IRIntegrationDr. Whang, Kyu-YoungDirector of Advanced Information TechnologyResearch CenterKorea Advanced Institute of Science andTechnologyDaejeon, Korea10:00 – 10:30 L OBBYC OFFEE B REAK10:30 – 12:00 R OOM 310A(DS) Data StreamsJoao Gama, University of Porto (UP), Portugal RFID Data Management for Effective ObjectsTrackingElioMasciari, CNR, ItalyA Priority Random Sampling Algorithm for Time-based Sliding Windows over Weighted StreamingDataZhang Longbo, Northwestern Polytechnical University, China Li Zhanhuai, Northwestern Polytechnical University, ChinaZhao Yiqiang, Shandong University of Technology, ChinaMin Yu, Northwestern Polytechnical University, China Zhang Yang, Northwest A&F University, ChinaOLINDDA: A Cluster-based Approach forDetecting Novelty and Concept Drift in DataStreamsEduardo Spinosa, University of Sao Paulo (USP), BrazilAndré Carvalho, University of Sao Paulo (USP), Brazil Joao Gama, University of Porto (UP), PortugalA Self-Organizing Neural Network for DetectingNoveltiesMarcelo Albertini, Universidade de Sao Paulo, BrazilRodrigo Mello, Universidade de São Paulo, Brazil10:30 – 12:00 R OOM 310B (AI) Artificial Intelligence, ComputationalLogic and Image AnalysisChih-Cheng Hung, Southern Polytechnic State University, USA Toward a First-Order Extension of Prolog'sUnification using CHRKhalil Djelloul, University of Ulm, GermanyThi-Bich-Hanh Dao, University d'Orléans, FranceThom Fruehwirth, University of Ulm, GermanyA Framework for Prioritized Reasoning Based onthe Choice EvaluationLuciano Caroprese, University of Calabria, ItalyIrina Trubitsyna, University of Calabria, ItalyEster Zumpano, University of Calabria, ItalyA Randomized Knot Insertion Algorithm for Outline Capture of Planar Images using CubicSplineMuhammad Sarfraz, King Fahd University of Petroleum andMinerals, Saudi ArabiaAiman Rashid, King Fahd University of Petroleum and Minerals,Saudi ArabiaEstraction of Arabic Words from Complex ColorImagesRadwa Fathalla, AAST, EgyptYasser El Sonbaty, AAST College of Computing, Egypt Mohamed Ismail, Alexandria University, Egypt10:30 – 12:00 R OOM 310C (PL) Programming LanguagesMarjan Mernik, University of Maribor, Slovenia Implementing Type-Based Constructive Negation Lunjin Lu, Oakland University, USATowards Resource-Certified Software: A Formal Cost Model for Time and its Application to anImage-Processing ExampleArmelle Bonenfant, University of St Andrews, UKZehzi Chen, Heriot-Watt University, UKKevin Hammond, Univestiy of St Andrews, UKGreg Michaelson, Heriot-Watt University, UKAndy Wallace, Heriot-Watt University, UKIain Wallace, Heriot-Watt University, UK。

恋爱之旅第二章弹题测试答案
1.下面四张卡，哪张卡含有后面括号里的字段？
A黑羽龙（黑羽）B黑暗英雄尸魔侠（英雄）C神威烈焰加农炮（烈焰加农炮）D月光香（月光）
这个很简单，选C。

黑羽龙没有黑羽字段，所以简中翻译为了“黑翼龙”来消除这个误会。

尸魔侠是早期诞生的卡，那个时候还没有“英雄”这个字段。

月光香也不含月光字段，否则月光卡组强度能往上飞好几米。

而神威烈焰加农炮确实含有烈焰加农炮这个字段，它甚至可以被火山种飞弹检索。

2.以下效果能解冥神（非ip冥神）的是：
A激流葬炸场B冰剑龙遗言炸场C访问码语者炸场D凶鸟施莱格除外
选B。

简单地说，冥神免疫的是不取对象且需要发动的效果。

有人可能会问，冰剑龙的炸场不是需要发动吗？根据尸体大大的解释，冰剑龙的炸场在处理时属于残留效果（规则书未单独规定这种效果，我们把它理解成一种简称就好），处理时不需要发动，因此可以炸冥神。

3.下面四张卡中，其实卡效果与动画中表现差别最小的是：
A封印的黄金柜B化石恐龙肿头龙C凶饿毒融合龙D装弹枪管龙
选D。

对于看过一到六部全部游戏王的伙伴来说，这题应该很简单。

黄金柜，在DM的结尾，友情之战出现，小表使用。

动画效果是从自己卡组选一张卡放入柜子，双方都不能使用这张卡，有点像OCG的禁止令，实卡效果则是从自己卡组将一张卡除外，两个回合后那张卡加入手卡，是一个延迟检索。

Package‘jskm’August10,2023Title Kaplan-Meier Plot with'ggplot2'Version0.5.2Date2023-08-04Description The function'jskm()'creates publication quality Kaplan-Meier plot with at risk tables below.'svyjskm()'provides plot for weighted Kaplan-Meier estimator.Depends R(>=3.4.0)License Apache License2.0Encoding UTF-8Imports ggplot2,ggpubr,survival,survey,scalesRoxygenNote7.2.3URL https:///jinseob2kim/jskmBugReports https:///jinseob2kim/jstable/issuesSuggests testthat,knitr,rmarkdownVignetteBuilder knitrNeedsCompilation noAuthor Jinseob Kim[aut,cre](<https:///0000-0002-9403-605X>),Zarathu[cph,fnd]Maintainer Jinseob Kim<*********************>Repository CRANDate/Publication2023-08-0922:30:02UTCR topics documented:jskm (2)svyjskm (4)Index712jskm jskm Creates a Kaplan-Meier plot for survfit object.DescriptionCreates a Kaplan-Meier plot with at risk tables below for survfit object.Usagejskm(sfit,table=FALSE,xlabs="Time-to-event",ylabs=NULL,xlims=c(0,max(sfit$time)),ylims=c(0,1),surv.scale=c("default","percent"),ystratalabs=names(sfit$strata),ystrataname="Strata",timeby=signif(max(sfit$time)/7,1),main="",pval=FALSE,pval.size=5,pval.coord=c(NULL,NULL),pval.testname=F,marks=TRUE,shape=3,legend=TRUE,legendposition=c(0.85,0.8),ci=FALSE,subs=NULL,label.nrisk="Numbers at risk",bel.nrisk=10,linecols="Set1",dashed=FALSE,cumhaz=F,cluster.option="None",cluster.var=NULL,data=NULL,ndmark=NULL,showpercent=F,status.cmprsk=NULL,linewidth=0.75,...)jskm3Argumentssfit a survfit objecttable logical:Create a table graphic below the K-M plot,indicating at-risk numbers?xlabs x-axis labelylabs y-axis labelxlims numeric:list of min and max for x-axis.Default=c(0,max(sfit$time))ylims numeric:list of min and max for y-axis.Default=c(0,1)surv.scale scale transformation of survival curves.Allowed values are"default"or"per-cent".ystratalabs character list.A list of names for each strata.Default=names(sfit$strata)ystrataname The legend name.Default="Strata"timeby numeric:control the granularity along the time-axis;defaults to7time-points.Default=signif(max(sfit$time)/7,1)main plot titlepval logical:add the pvalue to the plot?pval.size numeric value specifying the p-value text size.Default is5.pval.coord numeric vector,of length2,specifying the x and y coordinates of the p-value.Default values are NULLpval.testname logical:add’(Log-rank)’text to p-value.Default=Fmarks logical:should censoring marks be added?shape what shape should the censoring marks be,default is a vertical linelegend logical.should a legend be added to the plot?legendposition numeric.x,y position of the legend if plotted.Default=c(0.85,0.8)ci logical.Should confidence intervals be plotted.Default=FALSEsubs=NULL,label.nrisk Numbers at risk label.Default="Numbers at risk"bel.nriskFont size of label.nrisk.Default=10linecols Character.Colour brewer pallettes too colour lines.Default="Set1","black"for black with dashed line.dashed logical.Should a variety of linetypes be used to identify lines.Default=FALSE cumhaz Show cumulative incidence function,Default:Fcluster.option Cluster option for p value,Option:"None","cluster","frailty",Default:"None"cluster.var Cluster variabledata select specific data-for reactive input,Default=NULLndmark cut-off for landmark analysis,Default=NULLshowpercent Shows the percentages on the right side.status.cmprsk Status value when competing risk analysis,Default=2nd level of status variable linewidth Line witdh,Default=0.75...PARAM_DESCRIPTIONDetailsDETAILSValuePlotAuthor(s)Jinseob Kim,but heavily modified version of a script created by Michael Way.https://github.com/michaelway/ggkm/I have packaged this function,added functions to namespace and includeda range of new parameters.Exampleslibrary(survival)data(colon)fit<-survfit(Surv(time,status)~rx,data=colon)jskm(fit,timeby=500)svyjskm Creates a Weighted Kaplan-Meier plot-svykm.object in survey pack-ageDescriptionCreates a Weighted Kaplan-Meier plot-svykm.object in survey packageUsagesvyjskm(sfit,xlabs="Time-to-event",ylabs="Survival probability",xlims=NULL,ylims=c(0,1),ystratalabs=NULL,ystrataname=NULL,surv.scale=c("default","percent"),timeby=NULL,main="",pval=FALSE,pval.size=5,pval.coord=c(NULL,NULL),pval.testname=F,legend=TRUE,legendposition=c(0.85,0.8),ci=NULL,linecols="Set1",dashed=FALSE,cumhaz=F,design=NULL,subs=NULL,table=F,label.nrisk="Numbers at risk",bel.nrisk=10,ndmark=NULL,showpercent=F,linewidth=0.75,...)Argumentssfit a svykm objectxlabs x-axis label,Default:’Time-to-event’ylabs y-axis label.xlims numeric:list of min and max for x-axis.Default:NULLylims numeric:list of min and max for y-axis.Default:c(0,1)ystratalabs character list.A list of names for each strata.Default:NULLystrataname The legend name.Default:’Strata’surv.scale scale transformation of survival curves.Allowed values are"default"or"per-cent".timeby numeric:control the granularity along the time-axis;defaults to7time-points.main plot title,Default:”pval logical:add the pvalue to the plot?,Default:FALSEpval.size numeric value specifying the p-value text size.Default is5.pval.coord numeric vector,of length2,specifying the x and y coordinates of the p-value.Default values are NULLpval.testname logical:add’(Log-rank)’text to p-value.Default=Flegend logical.should a legend be added to the plot?Default:TRUElegendposition numeric.x,y position of the legend if plotted.Default:c(0.85,0.8)ci logical.Should confidence intervals be plotted.Default=NULLlinecols Character.Colour brewer pallettes too colour lines.Default:’Set1’,"black"for black with dashed line.dashed logical.Should a variety of linetypes be used to identify lines.Default:FALSE cumhaz Show cumulaive incidence function,Default:Fdesign Data design for reactive design data,Default:NULLsubs=NULL,table logical:Create a table graphic below the K-M plot,indicating at-risk numbers?label.nrisk Numbers at risk label.Default="Numbers at risk"bel.nriskFont size of label.nrisk.Default=10ndmark cut-off for landmark analysis,Default=NULLshowpercent Shows the percentages on the right side.linewidth Line witdh,Default=0.75...PARAM_DESCRIPTIONDetailsDETAILSValueplotExampleslibrary(survey)data(pbc,package="survival")pbc$randomized<-with(pbc,!is.na(trt)&trt>0)biasmodel<-glm(randomized~age*edema,data=pbc)pbc$randprob<-fitted(biasmodel)dpbc<-svydesign(id=~1,prob=~randprob,strata=~edema,data=subset(pbc,randomized)) s1<-svykm(Surv(time,status>0)~sex,design=dpbc)svyjskm(s1)Indexjskm,2svyjskm,47。

membunuh tanpa中文翻译摘要：1.介绍“membunuh tanpa”的含义2.探讨“membunuh tanpa”的背景和原因3.分析“membunuh tanpa”的影响和后果4.提出应对“membunuh tanpa”的建议和措施正文：“membunuh tanpa”是印尼语，中文翻译为“无目标杀人”。

这是一种恐怖主义行为，指的是恐怖分子在公共场所无差别地对无辜平民进行袭击，造成严重的人员伤亡和财产损失。

本文将从“membunuh tanpa”的背景和原因、影响和后果以及应对措施等方面进行分析。

首先，我们了解一下“membunuh tanpa”的背景和原因。

这种行为通常是由恐怖组织或极端主义者发起，他们往往抱有强烈的政治或宗教目的。

印尼作为一个多元文化的国家，民族和宗教矛盾一直是社会不安定的因素。

此外，国际恐怖主义势力的渗透和影响也加剧了这一问题。

这些因素共同导致了“membunuh tanpa”这种极端行为的发生。

接下来，我们分析一下“membunuh tanpa”的影响和后果。

这种行为造成了严重的人员伤亡和心理创伤，给社会带来极大的恐慌和不安。

此外，它还破坏了国家的法治和社会秩序，影响了经济发展和民众的生活。

更为严重的是，如果这种行为得不到有效遏制，可能会引发更多的恐怖袭击，形成恶性循环。

针对“membunuh tanpa”这一问题，我们需要采取一系列措施来应对。

首先，政府应加大打击恐怖主义的力度，加强情报搜集和安全防范，切断恐怖组织的资金和人员来源。

其次，社会各界应积极参与反恐工作，提高民众的防范意识，营造全民反恐的氛围。

最后，国家还需要加强对民族和宗教问题的治理，消除极端主义滋生的土壤，从根本上解决恐怖主义问题。

总之，“membunuh tanpa”这种无目标杀人行为对社会和人民造成了严重的伤害，我们必须高度重视并采取措施加以应对。

《东方萃梦想》对话翻译--帕秋莉パチュリーノーレッジStory ModeStage 1 火炉の鼠霧雨魔理沙 1st Day 14:00 図書館Stage 2 金属の猫イラズ十六夜咲夜 1st Day 21:00 図書館Stage 3 水の原型アリス2nd Day 13:00 図書館Stage 4 木霊墓地魂魄妖夢 2nd Day 21:00 墓地Stage 5 土の下で眠れ西行寺幽々子 2nd Day 26:30 白玉楼Stage 6 月の記憶八雲紫 Feast Day 17:00 博麗神社Stage 7 日の国伊吹萃香 Feast Day 19:00 幻想郷Stage 1火炉之鼠 Fire Mouse1st Day 14:00 図書館No.30 珍客 / U2帕裘莉：…………好象还有老鼠在。

记得好象……书架里面还有老鼠药的。

魔理沙：给我等一下，老鼠药对人没用。

帕裘莉：哎呀，黑老鼠居然自己走出来了，连老鼠药也不需要了。

魔理沙：哎，是误会啊，今天不是来偷东西的。

只是稍微来查一下东西。

帕裘莉：都偷偷进来了，还说不是偷东西。

魔理沙：那也稍微不同，只是来偷偷地查东西。

帕裘莉：果然还是需要猫。

No.05 魔女達の舞踏会 / U2魔理沙：猫？帕裘莉：把偷偷潜入的老鼠――、狠狠的赶走的猫。

战斗…………帕裘莉：接下来，我堂堂正正地调查。

老鼠就乖乖地回去吧。

魔理沙：唔-，我想调查这次异变的事啊。

帕裘莉：那个，我正在调查。

魔理沙：可恶，打算一个人独占吗。

帕裘莉：这次的异变，老鼠是解决不了的。

像你这样的调查也是没用的。

Stage 2金属的老鼠药 Silver Knife1st Day 21:00 図書館No.26 あゆのかぜ / NKZ咲夜：怎么了？突然叫我出来。

帕裘莉：明天，有些一定要干的事情要到外面去。

所以我想拜托你看家。

咲夜：哎呀，真少见。

好的，看家的事就请交给我吧。

帕裘莉：关于看家的事……咲夜：有什么事吗？帕裘莉：最近，老鼠又多了。