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48. Children (_____)_ by their parents are allowed to enter the stadium.

A、  accompanied

B、  having accompanied

C、  accompanying

D、  to accompany

答案:A

学位英语真题题库
42. The food (_____)_ at the moment is for the dinner party.
https://www.shititong.cn/cha-kan/shiti/001c2c55-1030-5669-c0c3-3f86db6f6300.html
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1. Passage Twenty-Seven Out of all the students who enroll in a massive open online course 【MOOC】, only about 5 percent complete the course and receive a certificate of accomplishment. This statistic is often cited as evidence that MOOCs are fatally flawed (有缺陷的) and offer little educational value to most students. Yet more than 80 percent of students who fill out a post-course survey say they met their primary objective. How do we look at these two facts? We’re used to focusing on completion rates in higher education, but they’re not the only—or even the most meaningful—indicator of engagement in open online courses. With no cost to enroll, no punishment for dropping out, and little reward for actually earning a certificate, MOOCs are fundamentally different from traditional classes—and students use them in fundamentally different ways. Data from more than 1.8 million students enrolled in 36 MOOCs offered by the University of Pennsylvania show that students treat MOOCs like a buffet (自助餐), sampling the material according to their interests and career goals. Some are curious about the subject matter and just watch one or two video lectures; others use the discussion forums to connect with their intellectual peers around the world. Of all enrolled students, nearly 60 percent watch at least one video, complete at least one assignment, or post at least once in a forum. So focusing on the tiny fraction of students who complete a MOOC is misguided. The more important number is the 60 percent engagement rate. Students may not finish a MOOC with a certificate of accomplishment, but the courses nonetheless meet the educational goals of millions. What do we learn about MOOCs from Para.1?
https://www.shititong.cn/cha-kan/shiti/001c2bc0-618c-3868-c0c5-1e92eb8f1f00.html
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48. Children (_____)_ by their parents are allowed to enter the stadium.
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31. If I (_____)_ harder at school, I would be sitting in a comfortable office now.
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47. By the time the war (_____), most of the people had already left.
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3. Passage Fifteen Big data can be defined as information that is too big or complex to be contained or processed by any one machine or person. As a student at the University of Sussex, Julian Dailly had two majors——English and philosophy. When he completed his studies, Dailly wondered how he would ever earn a living in a world filled with machines and technology. Now, he is part of the big data industry that includes Google and Facebook. Dailly’s research company, Morar Consulting, started three years ago with five employees. The company’s earnings have increased by 25% each year. It now employs 90 people. “What we do here is we try to discover what’s meaningful for people and link that to their economic behavior,” Dailly said. He noted the importance of working with people with different skills. “We have people from traditional research backgrounds, in addition to some in social sciences, economics, people from tech backgrounds, and salespeople,” Dailly said. Companies like Dailly’s employ recent college graduates. The industry profits from the ideas of these young men and women. New forms of data also make it possible for some observers to predict the future. They are more valuable to companies than the traditional forms of data recording or reporting. “We have access to the core information inside people’s heads,” Dailly said, “They tell you what people are going to do as opposed to what they’ve done. That helps people take proper action in advance. This makes it much more useful for strategy.” Julian Dailly dismisses concerns that computers have finally taken control of our daily lives. “Some may worry that humans will be allowed to be replaced by machines. I think it’s a fantasy.” The company’s staff is characterized by all the following EXCEPT ( ) .
https://www.shititong.cn/cha-kan/shiti/001c2bc0-618b-ac71-c0c5-1e92eb8f1f00.html
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5. Passage Twenty-One What will man be like in the future—in 5,000 or even 50,000 years from now? We can only make guesses, of course, but we can be sure that he will be different from what he is today. For man is slowly changing all the time. Let us take an obvious example. Man, even five hundred years ago, was shorter than he is today. Now, on average, men are about three inches taller. Five hundred years is relatively short period of time, so we may assume that man will continue to grow taller. Again, in the modern world we use our brains a great deal. Even so, we still make use of only about 20% of the brain’s capacity. As time goes on, however, we shall have to use our brains more and more, and eventually we shall need larger ones. This is likely to bring about a physical change to the head, in particular the forehead will grow larger. Nowadays our eyes are in constant use. In fact, we use them so much that very often they become weaker and we have to wear glasses. But over very long period of time it is likely that man’s eyes will grow stronger. On the other hand, we tend to make less use of our arms and legs. These, as a result, are likely to grow weaker. At the same time, however, our fingers will grow more sensitive because they are used a great deal in modern life. But what about hair? It will probably disappear from the body altogether in course of time because it does not serve a useful purpose any longer. In the future, then, both sexes are likely to be bald. Perhaps all this gives the impression that future man will not be a very attractive creature to look at. This may well be true. All the same, in spite of all these changes, future man will still have a lot in common with us. He will still be a human being, with thoughts and emotions similar to our own.The reason for behaving that future man will be different is that he ( ) .
https://www.shititong.cn/cha-kan/shiti/001c2bc0-618b-f872-c0c5-1e92eb8f1f00.html
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2. Passage Fifteen Big data can be defined as information that is too big or complex to be contained or processed by any one machine or person. As a student at the University of Sussex, Julian Dailly had two majors——English and philosophy. When he completed his studies, Dailly wondered how he would ever earn a living in a world filled with machines and technology. Now, he is part of the big data industry that includes Google and Facebook. Dailly’s research company, Morar Consulting, started three years ago with five employees. The company’s earnings have increased by 25% each year. It now employs 90 people. “What we do here is we try to discover what’s meaningful for people and link that to their economic behavior,” Dailly said. He noted the importance of working with people with different skills. “We have people from traditional research backgrounds, in addition to some in social sciences, economics, people from tech backgrounds, and salespeople,” Dailly said. Companies like Dailly’s employ recent college graduates. The industry profits from the ideas of these young men and women. New forms of data also make it possible for some observers to predict the future. They are more valuable to companies than the traditional forms of data recording or reporting. “We have access to the core information inside people’s heads,” Dailly said, “They tell you what people are going to do as opposed to what they’ve done. That helps people take proper action in advance. This makes it much more useful for strategy.” Julian Dailly dismisses concerns that computers have finally taken control of our daily lives. “Some may worry that humans will be allowed to be replaced by machines. I think it’s a fantasy.” Dailly’s company focuses on businesses in ( ) .
https://www.shititong.cn/cha-kan/shiti/001c2bc0-618b-aa45-c0c5-1e92eb8f1f00.html
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47. The peasant uses wood to build a house (_____) to store grains.
https://www.shititong.cn/cha-kan/shiti/001c2c55-0fec-13e0-c0c3-3f86db6f6300.html
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3. Passage Twenty-Five Online dating has just been revealed to be one of the most common ways to start a relationship. But new research reveals that the concept is still highly flawed (有缺陷的). An analysis of 400 studies into online dating shows that while it offers access to plenty of other singles, users can be overwhelmed and put off by the volume of choice, defeating the purpose. The research, by Northwestern University and published in the journal Psychological Science in the public interest, found that the processes involved don’t lend themselves to forming strong relationships. The findings also indicated that the concept of an online profile (介绍) is not entirely useful and “can result in treating potential partners as mere objects ”. Lead author Eli. J. Finkel explained, “Online dating is a terrific addition for singles to meet. However, there are two problems. ” First, studying over seemingly endless lists of profiles of people one does not know, as on Match.com, does not reveal much about them. Second, it “overloads people and they end up shutting down,” he said. He compared it to shopping at “supermarkets of love” and said psychological research shows people presented with too many choices tend to make lazy and often poor decisions. The study’s authors also questioned the algorithms ( 算法) employed by sites such as eHarmony.com to match people based on their interests or personality—comparing it to having a real estate agent of love. While the algorithm may reduce the number of potential partners from thousands to a few, they may be as unsuitable for each other as two people meeting at random, Dr. Finkel explained, adding the chances are no better than finding a relationship by walking into any bar. “There’s no better way to figure out whether you’re a match with somebody than talking to them over a coffee or beer,” Dr. Finkel said. The phrase “lend themselves to” (Para.3) probably means ( ) .
https://www.shititong.cn/cha-kan/shiti/001c2bc0-618c-263a-c0c5-1e92eb8f1f00.html
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48. Children (_____)_ by their parents are allowed to enter the stadium.

A、  accompanied

B、  having accompanied

C、  accompanying

D、  to accompany

答案:A

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42. The food (_____)_ at the moment is for the dinner party.

A.   cooked

B.   to be cooked

C.   is being cooked

D.   being cooked

https://www.shititong.cn/cha-kan/shiti/001c2c55-1030-5669-c0c3-3f86db6f6300.html
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1. Passage Twenty-Seven Out of all the students who enroll in a massive open online course 【MOOC】, only about 5 percent complete the course and receive a certificate of accomplishment. This statistic is often cited as evidence that MOOCs are fatally flawed (有缺陷的) and offer little educational value to most students. Yet more than 80 percent of students who fill out a post-course survey say they met their primary objective. How do we look at these two facts? We’re used to focusing on completion rates in higher education, but they’re not the only—or even the most meaningful—indicator of engagement in open online courses. With no cost to enroll, no punishment for dropping out, and little reward for actually earning a certificate, MOOCs are fundamentally different from traditional classes—and students use them in fundamentally different ways. Data from more than 1.8 million students enrolled in 36 MOOCs offered by the University of Pennsylvania show that students treat MOOCs like a buffet (自助餐), sampling the material according to their interests and career goals. Some are curious about the subject matter and just watch one or two video lectures; others use the discussion forums to connect with their intellectual peers around the world. Of all enrolled students, nearly 60 percent watch at least one video, complete at least one assignment, or post at least once in a forum. So focusing on the tiny fraction of students who complete a MOOC is misguided. The more important number is the 60 percent engagement rate. Students may not finish a MOOC with a certificate of accomplishment, but the courses nonetheless meet the educational goals of millions. What do we learn about MOOCs from Para.1?

A. There seems to be conflicting statistics about MOOCs.

B. It turns out that MOOCs have failed people’s expectations.

C. Most students find it hard to judge the value of MOOCs.

D. The educational value of MOOCs is well acknowledged.

https://www.shititong.cn/cha-kan/shiti/001c2bc0-618c-3868-c0c5-1e92eb8f1f00.html
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48. Children (_____)_ by their parents are allowed to enter the stadium.

A.   accompanied

B.   having accompanied

C.   accompanying

D.   to accompany

https://www.shititong.cn/cha-kan/shiti/001c2c55-10a7-dba7-c0c3-3f86db6f6300.html
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31. If I (_____)_ harder at school, I would be sitting in a comfortable office now.

A.   worked

B.   were to work

C.   had worked

D.   were working

https://www.shititong.cn/cha-kan/shiti/001c2c55-1058-79c1-c0c3-3f86db6f6300.html
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47. By the time the war (_____), most of the people had already left.

A.   broke out

B.   broke up

C.   intervened

D.   happen

https://www.shititong.cn/cha-kan/shiti/001c2c55-0e95-7a4b-c0c3-3f86db6f6300.html
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3. Passage Fifteen Big data can be defined as information that is too big or complex to be contained or processed by any one machine or person. As a student at the University of Sussex, Julian Dailly had two majors——English and philosophy. When he completed his studies, Dailly wondered how he would ever earn a living in a world filled with machines and technology. Now, he is part of the big data industry that includes Google and Facebook. Dailly’s research company, Morar Consulting, started three years ago with five employees. The company’s earnings have increased by 25% each year. It now employs 90 people. “What we do here is we try to discover what’s meaningful for people and link that to their economic behavior,” Dailly said. He noted the importance of working with people with different skills. “We have people from traditional research backgrounds, in addition to some in social sciences, economics, people from tech backgrounds, and salespeople,” Dailly said. Companies like Dailly’s employ recent college graduates. The industry profits from the ideas of these young men and women. New forms of data also make it possible for some observers to predict the future. They are more valuable to companies than the traditional forms of data recording or reporting. “We have access to the core information inside people’s heads,” Dailly said, “They tell you what people are going to do as opposed to what they’ve done. That helps people take proper action in advance. This makes it much more useful for strategy.” Julian Dailly dismisses concerns that computers have finally taken control of our daily lives. “Some may worry that humans will be allowed to be replaced by machines. I think it’s a fantasy.” The company’s staff is characterized by all the following EXCEPT ( ) .

A. fresh ideas

B. young age

C. mixed education backgrounds

D. rich experience in the field

https://www.shititong.cn/cha-kan/shiti/001c2bc0-618b-ac71-c0c5-1e92eb8f1f00.html
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5. Passage Twenty-One What will man be like in the future—in 5,000 or even 50,000 years from now? We can only make guesses, of course, but we can be sure that he will be different from what he is today. For man is slowly changing all the time. Let us take an obvious example. Man, even five hundred years ago, was shorter than he is today. Now, on average, men are about three inches taller. Five hundred years is relatively short period of time, so we may assume that man will continue to grow taller. Again, in the modern world we use our brains a great deal. Even so, we still make use of only about 20% of the brain’s capacity. As time goes on, however, we shall have to use our brains more and more, and eventually we shall need larger ones. This is likely to bring about a physical change to the head, in particular the forehead will grow larger. Nowadays our eyes are in constant use. In fact, we use them so much that very often they become weaker and we have to wear glasses. But over very long period of time it is likely that man’s eyes will grow stronger. On the other hand, we tend to make less use of our arms and legs. These, as a result, are likely to grow weaker. At the same time, however, our fingers will grow more sensitive because they are used a great deal in modern life. But what about hair? It will probably disappear from the body altogether in course of time because it does not serve a useful purpose any longer. In the future, then, both sexes are likely to be bald. Perhaps all this gives the impression that future man will not be a very attractive creature to look at. This may well be true. All the same, in spite of all these changes, future man will still have a lot in common with us. He will still be a human being, with thoughts and emotions similar to our own.The reason for behaving that future man will be different is that he ( ) .

A. is quickly changing

B. hopes for a change

C. never stops changing

D. will live a different life

https://www.shititong.cn/cha-kan/shiti/001c2bc0-618b-f872-c0c5-1e92eb8f1f00.html
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2. Passage Fifteen Big data can be defined as information that is too big or complex to be contained or processed by any one machine or person. As a student at the University of Sussex, Julian Dailly had two majors——English and philosophy. When he completed his studies, Dailly wondered how he would ever earn a living in a world filled with machines and technology. Now, he is part of the big data industry that includes Google and Facebook. Dailly’s research company, Morar Consulting, started three years ago with five employees. The company’s earnings have increased by 25% each year. It now employs 90 people. “What we do here is we try to discover what’s meaningful for people and link that to their economic behavior,” Dailly said. He noted the importance of working with people with different skills. “We have people from traditional research backgrounds, in addition to some in social sciences, economics, people from tech backgrounds, and salespeople,” Dailly said. Companies like Dailly’s employ recent college graduates. The industry profits from the ideas of these young men and women. New forms of data also make it possible for some observers to predict the future. They are more valuable to companies than the traditional forms of data recording or reporting. “We have access to the core information inside people’s heads,” Dailly said, “They tell you what people are going to do as opposed to what they’ve done. That helps people take proper action in advance. This makes it much more useful for strategy.” Julian Dailly dismisses concerns that computers have finally taken control of our daily lives. “Some may worry that humans will be allowed to be replaced by machines. I think it’s a fantasy.” Dailly’s company focuses on businesses in ( ) .

A. marketing strategy

B. machine selling

C. staff training

D. big data research

https://www.shititong.cn/cha-kan/shiti/001c2bc0-618b-aa45-c0c5-1e92eb8f1f00.html
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47. The peasant uses wood to build a house (_____) to store grains.

A.   where

B.   in which

C.   with which

D.   which

https://www.shititong.cn/cha-kan/shiti/001c2c55-0fec-13e0-c0c3-3f86db6f6300.html
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3. Passage Twenty-Five Online dating has just been revealed to be one of the most common ways to start a relationship. But new research reveals that the concept is still highly flawed (有缺陷的). An analysis of 400 studies into online dating shows that while it offers access to plenty of other singles, users can be overwhelmed and put off by the volume of choice, defeating the purpose. The research, by Northwestern University and published in the journal Psychological Science in the public interest, found that the processes involved don’t lend themselves to forming strong relationships. The findings also indicated that the concept of an online profile (介绍) is not entirely useful and “can result in treating potential partners as mere objects ”. Lead author Eli. J. Finkel explained, “Online dating is a terrific addition for singles to meet. However, there are two problems. ” First, studying over seemingly endless lists of profiles of people one does not know, as on Match.com, does not reveal much about them. Second, it “overloads people and they end up shutting down,” he said. He compared it to shopping at “supermarkets of love” and said psychological research shows people presented with too many choices tend to make lazy and often poor decisions. The study’s authors also questioned the algorithms ( 算法) employed by sites such as eHarmony.com to match people based on their interests or personality—comparing it to having a real estate agent of love. While the algorithm may reduce the number of potential partners from thousands to a few, they may be as unsuitable for each other as two people meeting at random, Dr. Finkel explained, adding the chances are no better than finding a relationship by walking into any bar. “There’s no better way to figure out whether you’re a match with somebody than talking to them over a coffee or beer,” Dr. Finkel said. The phrase “lend themselves to” (Para.3) probably means ( ) .

A. be opposed to

B. be easily used for

C. be happy with

D. be consistent with

https://www.shititong.cn/cha-kan/shiti/001c2bc0-618c-263a-c0c5-1e92eb8f1f00.html
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