题目内容

11. “Tommy,run!The house is on Hre!” mother shouted with clearly in her voice.

   A. anger   B. rudeness

   C. pain   D. panic

11. D

11. D解析:句意:妈妈嗓音有些惊恐地大喊 道:“汤米,快跑!房子着火了!”panic意为 “恐慌;惊慌”,符合句意。

anger意为“愤 怒;怒气”;rudeness意为“粗鲁”;pain意为 “疼痛;痛苦”。

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  The human face may have been built for certain basic functions 一 eating,breathing,seeing — but the 43 separate muscles that keep it constantly moving mean it is constantly communicating too. For example,every eyebrow lift means something. That's good news for a small growing field of business that uses facial analysis to figure out if an advertisement or a TV pilot(实验性节目) appeals to consumers.

   Affectiva,a 30-person operation in America,is the most successful of these companies. A decide ago,Rana el Kaliouby began collecting video samples (样本) of faces with the goal of helping autistic(患自闭症的) children. “Autistic kids have a hard time reading faces,” she says, “so the plan was to design a system that tells them that the person they’ re talking to is smiling,say,or looks confUsed." In 2006,the National Science Foundation sponsore her to continue her work at the. MIT Media Lab. Industry groups regularly visit the lab and el Kaliouby’s research impressed them. “They asked , ^ Have you thought of using what you are working on to test a product?’ ” she recalls. So,in 2009 she and her MIT professor established Affectiva to do just that.

   For a starting fee of $2,500,Affectiva makes its software available to marketers. Volunteers watch a video on a computer screen while the camera in the computer watches them back. Volunteers always know it is there and when they,re being recorded,which doesn’ t materially affect the results. Engagement,boredom,amusement,displeasure and more are tracked and analyzed. The database Affectiva uses to conduct those analyses is made up of more than 2. 5 million facial video samples. The software also takes factors such as sex,culture and age into account. “Women tend to smile more than men,” el Kaliouby says.

   Market testing is only the lowest-hanging fruit. El Kaliouby expects to expand the business to political polling(民意测验) and analysis,as well as helping teachers of online courses assess student engagement. She is still interested in autism and other psychological conditions. There are some potential growth areas that are more controversial: lie detection and airport security,for example. For Affectiva,they’ re no-go zones. “We believe volunteers should always have the right to decide whether to be tested,so for that reason we don't want to be in security ,” el Kaliouby says. That,of course,leaves that space open to new competitors.

28. When el Kaliouby founded Affectiva,she wanted to.

   A. look for sponsors

   B. help autistic children

   C. create a video sample database

   D. test commercials and TV pilots

29. What does the underlined word “it” in Paragraph 3 refer to?

   A. The computer. B. The camera.

   C. The screen. D. The video.

30. We can infer that “new competitors” mentioned in the last paragraph may use facial analysis to.

   A. do political polling and analysis

   B. assess online students’ engagement

   C. examine whether people are telling lies

   D. help people with psychological conditions

31. In which part of a magazine Can we read the text?

   A. Technology.   B. Education.

   C. Lifestyle. D. Society.

第二节完形填空(共20小题;每小题1. 5分,满分30分) 

One day,a little boy went into a store. He found a wooden box and 16 it over to the telephone. He climbed onto it 17 he could make a phone call. The store owner feeling a little bit 18 , looked at the boy and listened to the 19 between the boy and another person.

The boy asked ,“Madam,do you 20 a boy to cut the grass in your garden?”

“I already have 21 to do that job ,” the woman answered.

22 , the boy went on to say that he would do the job and he could accept half the 23 of the person who worked in her garden now. The woman replied that she^was very satisfied with the person who was 24 the grass in her garden. The little boy 25 offering that he would even 26 her sidewalk and stairs,and 27 that she would have the 28 garden in this town. Again the woman refused the boy's 29 politely. Then the little boy hung up the phone with a (n) 30 on his face. When the little boy was about to leave,he was 31 by the store owner.

The store owner,who was moved by all this,said, “Son,I like your 32 and would like to 33 you a job.But the little boy 34 the store owner and told him that he was just 35 whether he did the job well or not. Actually,he was the one who was working for that lady he talked with on the phone.

16. A. turned   B. sent   C. handed   D. pulled

17. A. even though   B. ever since

   C. so that   D. as if

18. A. excited   B. worried   C. strange   D. afraid

19. A. information   B. introduction

   C. discussion   D. conversation

20. A. ask   B. need   C. help   D. order

21. A. someone   B. anyone   C. everyone   D. no one

22. A. Besides   B. Instead   C. However   D. Once

23. A. time   B. price   C. energy   D. work

24. A. cutting   B. growing   C. pressing   D. adding

25. A. continued   B. remembered

   C. enjoyed   D. minded

26. A. watch   B. sweep   C. repair   D. keep

27. A. promised   B. explained

   C. wished   D. thought

28. A. largest   B. nearest   C. prettiest   D. newest

29. A. kindness   B. command

   C. answer   D. request

30. A. anger   B. tear   C. idea   D. smile

31. A. invited   B. stopped   C. praised   D. trained

32. A. action   B. shape   C. voice   D. attitude

33. A. pay   B. advise   C. offer   D. support

34. A. followed   B. believed

   C. recognised   D. refused

35. A. checking   B. showing

   C. realising   D. telling

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