热门试题:
[单选题]足三阴经相同的主治是
A.肝病、脾胃病
B.肾病、脾胃病
C.肺病、脾病、肾病
D.妇科病、腹部病
E.前阴病、妇科病
[单选题] ( )列车将自动采取紧急制动直至停车。
A.进站
B.出站(
C.进站/出站
D.驻站
[填空题]Rose is an American school girl. She is now in Beijing with her parents. It’s Sunday morning. Rose (11) up early in the morning. After breakfast her parents (12) her to the zoo. They go to see the pandas and other (13) . The pandas live only in China. There are not (14) pandas in America. So they like the pandas best. (15) the zoo gate there is a picture. It’s a picture of a panda with "welcome".
[单选题]足太阴脾经与足阳明胃经的循行交接部位是
A.足大趾内端
B.足大趾外端
C.足二趾内端
D.足二趾外端
E.足三趾内端
[判断题]当采用一种绝热制品，保温层层度大于或等于100mm,且保冷层厚度大于或等于80mm时，绝热层施工必须分层错缝进行，各层的厚度应接近
A.正确
B.错误
[单选题]强风天气下火灾会发生（）发展、易形成大面积火灾
A.跳动式
B.跳跃式
C.弹跳式
D.移动式
[单选题]高处作业的平台、走道、斜道等应装设不低于1.2m高的护栏，并设（）mm高的挡脚板。
A.180
B.150
C.120
D.110
[单选题]在传输杆路工程登高作业中，使用吊板作业时，吊板上的挂钩已磨损掉( )时就不能再使用，坐板及架应固定牢固。
A.二分之一
B.三分之一
C.四分之一
D.五分之一
[多项选择]培训师在进行培训指导工作时，要（）。
A. 对指导对象的心里动机进行了解
B. 对指导对象的思维方式进行了解
C. 对指导对象的工作特点进行了解
D. 与指导对象进行交流
E. 对指导对象行为情况进行了解
[多选题]
智能变电站辅助系统远程巡视主要巡视内容有(____)。
A. 警卫人员值守情况
B. 查看图像监控系统视频图像显示正常,与子站设备通信正常
C. 检查火灾报警运行正常,无告警
D. 检查设备红外测温系统在线测温数据正常,无告警
[多选题] 依据《广西电网有限责任公司人身安全红线违规问责管理办法》（Q/CSG-GXPG 2092001-2021）第十三条：红线违规归属单位负责人按照以下标准进行问责：（ ）。
A. 发生第一次红线违规，三级单位分管责任人在公司视频会议上进行检讨发言
B. 发生第二次红线违规，三级单位安全生产主要责任人在公司视频会议上进行检讨发言，同时由公司分管领导对该违规业务的三级单位分管责任人给予警示谈话
C. 发生第三次及以上红线违规，对三级单位安全生产第一责任人、安全生产主要责任人、分管责任人分别给予警示谈话至警告。
D. 承包商人员发生红线违规，对归属单位负责人问责，每次违规统计为0.5次。
[填空题]违反规定取得外国国籍或者获取境外永久居留资格、长期居 留许可的，予以撤职或者（ ）。
[多选题]在始发站、中间站、折返站，车站客运（值班）员确认客运作业（ ）完毕后，通知列车长。
A.旅客乘降
B.上水、吸污
C.高铁快运
D.餐车物品装卸
[单项选择]将机件的部分结构，用大于原图形所采用的比例画出的图形，称为（）。
A. 剖视图
B. 局部放大图
C. 主视图
D. 斜视图
[单选题]钢芯铝绞线广泛应用于( )线路上。
A.低压
B.配电
C.高压
[多项选择]下列选项中（）不属于狭义的医疗法律行为。
A. 开颅戒毒手术
B. 利用基因技术治疗癌症手术
C. 对危重病人进行抢救
D. 整形美容手术
[判断题]《生产安全事故报告和调查处理条例》的规定，重大事故，是指造成10人以上30人以下死亡，
或者50人以上100人以下重伤，或者1000万元以上5000万元以下直接经济损失的事故。
A.正确
B.错误
[多选题]测量用电压互感器的等级有（ ）。
A.0.2级
B.0.5级
C.1级
D.3级
[判断题]乘客事务中涉及主体为徐州地铁工作人员的事务称为人员服务类事务，其要素包含：时间、地点、人员姓名或工号、事件概况。
A.正确
B.错误
[单选题]起重机吊臂的最大仰角不得超过制造厂铭牌规定。起吊钢柱时，应在钢柱上拴以牢固的（）控制绳。吊起的重物不得在空中长时间停留。
A.安全绳
B.牵引绳
C.控制绳
D.揽风绳
[填空题]The Difference Engine: The Answering
Machine
A It was not quite a foregone
conclusion, but all the smart money was on the machine. Since the first
rehearsal over a year ago, it had become apparent that Watson—a supercomputer
built by IBM to decode tricky questions posed in English and answer them
correctly within seconds—would trounce the smartest of human challengers. And so
it did earlier this week, following a three-day contest against the two most
successful human champions of all time on ’Jeopardy!’, a popular quiz game aired
on American television. By the end of the contest, Watson had accumulated over
$77,000 in winnings, compared with $24,000 and $21,600 for the two human
champions. IBM donated the $1m in special prize money to charity, while the two
human contestants gave half their runner-up awards away.
B IBM has a long tradition of setting ’grand challenges’ for itself—as a
way of driving internal research and innovation as well as demonstrating its
technical smarts to the outside world. A previous challenge was the chess match
staged in 1997 between IBM’s Deep Blue supercomputer and the then world
champion, Garry Kasparov. As shocking as it seemed at the time, a computer
capable of beating the best chess-player in the world proved only that the
machine had enough computational horsepower to perform the rapid logical
analysis needed to cope with the combinatorial explosion of moves and
counter-moves. In no way did it demonstrate that Deep Blue was doing something
even vaguely intelligent.
C Even so, defeating a
grandmaster at chess was child’s play compared with challenging a quiz show
famous for offering clues laden with ambiguity, irony, wit and double meaning as
well as riddles and puns—things that humans find tricky enough to fathom, let
alone answer. Getting a mere number-cruncher to do so had long been thought
impossible. The ability to parse the nested structure of language to extract
context and meaning, and then use such concepts to create other linguistic
structures, is what human intelligence is supposed to be all about.
D Four years in the making, Watson is the brainchild of David
Ferrucci, head of the DeepQA project at IBM’s research centre in Yorktown
Heights, New York. Dr. Ferrucci and his team have been using search, semantics
and natural-language processing technologies to improve the way computers handle
questions and answers in plain English. That is easier said than done. In
parsing a question, a computer has to decide what is the verb, the subject, the
object, the preposition as well as the object of the preposition. It must
disambiguate words with multiple meanings, by taking into account any context it
can recognise. When people talk among themselves, they bring so much contextual
awareness to the conversation that answers become obvious. ’The computer
struggles with that,’ says Dr. Ferrucci.
E Another
problem for the computer is copying the facility the human brain has to use
experience—based short-cuts (heuristics) to perform tasks. Computers have to do
this using lengthy step-by-step procedures (algorithms). According to Dr.
Ferrucci, it would take two hours for one of the fastest processors to answer a
simple natural-language question. To stand any chance of winning, contestants on
’Jeopardy!’ have to hit the buzzer with a correct answer within three seconds.
For that reason, Watson was endowed with no fewer than 2,880 Power 750 chips
spread over 90 servers. Flat out, the machine can perform 80 trillion
calculations a second. For comparison’s sake, a modern PC can manage around 100
billion calculations a second.
F For the contest, Watson
had to rely entirely on its own resources. That meant no searching the Internet
for answers or asking humans for help. Instead, it used more than 100 different
algorithms to parse the natural-language questions and interrogate the 15
trillion bytes of trivia stored in its memory banks—equivalent to 200m pages of
text. In most cases, Watson could dredge up answers quicker than either of its
two human rivals. When it was not sure of the answer, the computer simply shut
up rather than risk losing the bet. That way, it avoided impulsive behaviour
that cost its opponents points.
G Your correspondent
finds it rather encouraging that a machine has beaten the best in the business.
After all, getting a computer to converse with humans in their own language has
been an elusive goal of artificial intelligence for decades. Making it happen
says more about human achievement than anything spooky about machine dominance.
And should a machine manage the feat without the human participants in the
conversation realising they are not talking to another person, then the machine
would pass the famous test for artificial intelligence devised in 1950 by Alan
Turing, a British mathematician famous for cracking the Enigma and Lorenz
ciphers during the second world war.
H It is only a
matter of time before a computer passes the Turing Test. It will not be Watson,
but one of its successors doubtless will. Ray Kurzweil, a serial innovator,
engineer and prognosticator, believes it will happen by 2029. He notes that it
was only five years after the massive and hugely expensive Deep Blue beat Mr.
Kasparov in 1997 that Deep Fritz was able to achieve the same level of
performance by combining the power of just eight personal computers. In part,
that was because of the inexorable effects of Moore’s Law halving the
price/performance of computing every 18 months. It was also due to the vast
improvements in pattern-recognition software used to make the crucial
tree-pruning decisions that determine successful moves and countermoves in
chess.
I Now that the price/performance of computers has
accelerated to a halving every 12 months, Mr. Kurzweil expects a single server
to do the job of Watson’s 90 servers within seven years—and by a PC within a
decade. If cloud computing fulfils its promise, then bursts of Watson-like
performance could be available to the public at nominal cost even sooner. Mr.
Kurzweil believes that once computers master human levels of pattern recognition
and language understanding, they will leave mankind way behind. By then, they
will have combined the human skills of language and pattern recognition with
their own unique ability to master vast corpora of knowledge.
J Will that mean game over for humans—with robots keeping people around
merely as pets ’Absolutely not’, says Oren Etzioni, director of the Turing
Centre at the University of Washington in Seattle. But it does mean, he notes,
that computers will be able to achieve vastly more than they can today. For a
start, super-smart machines capable of answering questions in English (or any
other natural language) will change search engines out of all recognition. No
longer will Google and Bing bombard users with hundreds or even thousands of
dumb links to dubious sources. Instead, people will get the unique and
meaningful answers they are seeking.the reasons for the progress of computers
[单项选择]紫外一可见吸收分光光度计测量过程中数据不稳定的常见原因不包括（）。
A. 电压不稳定
B. 参比选择错误
C. 超出了可以测量的范围
D. 吸收池污染
[单选题]线路大、中修后,无垫层的碎石道床,枕下清砟厚度不得小于( )。
A.200mm
B.300mm
C.350mm
D.400mm
[单项选择]药用部位为内壳的中药材是
A. 石决明
B. 牡蛎
C. 珍珠母
D. 桑螵蛸
E. 海螵蛸
[单项选择]患者儿童时期颏部受外伤导致颞下颌关节强直，请回答下列问题。这类病例常伴有比较严重的面下部发育障碍，请指出下列体征中哪一项是错误的（）。
A. 患侧下颌体以及升支短小
B. 患侧面部扁平
C. 患侧角前切迹加深
D. 健侧下颌相对较长
E. 颏点偏向患侧
[多项选择]下列选项中，可出现舌红少苔、脉细数的证候有
A. 肺肾阴虚证
B. 肝肾阴虚证
C. 心肾不交证
D. 燥邪犯肺证
[判断题]施工高度30m及以上的建筑幕墙安装工程是超过一定规模的危险性较大的分部分项工程
A.正确
B.错误
[判断题]在带电的电流互感器二次回路上工作时，工作中禁止将回路的永久接地点断开
A.正确
B.错误
[多项选择]关于投资风险价值的相关叙述中，错误的有( )。
A. 投资风险价值是指投资者因在投资活动中冒风险而取得的超过市场利率的额外报酬
B. 标准离差率越大，风险越大，投资者要求的报酬率越高
C. 风险报酬系数是企业承担风险的度量
D. 投资的风险价值用相对数表示
E. 投资收益期望值是各个随机变量以其各自的概率进行加权平均所得的平均数
[单项选择]根据《交通银行员工合规手册》规定，对于超越权限的事项，员工应当如何处理？（）
A. 在确保操作正确的前提下自行处理
B. 不作任何处理
C. 按照规定逐级报批后办理
D. 偶尔可以越级办理后报备
[单选题] 伴随若干个基本事件的发生而发生的事件叫做()
A. 复合事件
B. 集体事件
C. 组合事件
D. 全体事件
[单选题]关于酶竞争性抑制剂的叙述，下列错误的是( )。
A.抑制剂与酶非共价结合
B.增加底物浓度也不能达到最大反应速度
C.当抑制剂存在时Km值变大
D.抑制剂与底物竞争酶的底物结合部位
[单项选择]体液的pH影响药物转运是由于它改变了药物的：
A. 水溶性
B. 脂溶性
C. pKa
D. 解离度
E. 溶解度
[不定项选择题]A.经前诊刮子宫内膜分泌不足
A.经期第5天子宫内膜为混合型
B.经前诊刮子宫内膜呈增殖期
C.经前诊刮子宫内膜为分泌期
D.子宫内膜为蜕膜
E.无排卵型功血( )
[单选题]政府采购信息应当在( )及时向社会公开发布,但涉及商业秘密除外。
A.报刊杂志上
B.电视广播中
C.政府采购监督管理部门指定的媒体上
D.省级以上媒体上
