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36.My teacher was made ()his teaching because of poor health.

A、 giving up

B、 to give up

C、 given up

D、 give up

答案:B

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50.You may ()these heavy clothes till you need them again next winter since spring is here,
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3. Passage FifteenBig 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, Monar 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 sales people,” 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 ().
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1. Passage SeventeenNo one knows how man learned to make words.Perhaps he began by making sounds like those made by animals.Perhaps he grunted like a pig when he lifted something heavy.Perhaps he made sounds like those he heard all round him——water splashing, bees humming, a stone falling to the ground.Somehow, he learned to make words.As the centuries went by, he made more and more new words.This is what we mean by language.People living in different countries made different kinds of words.Today there are about fifteen hundred different languages in the world.Each contains many thousands of words.A very large English dictionary, for example, contains four or five hundred thousand words.But we do not need all these.Only a few thousand words are used in everyday life.The words you know are called your vocabulary.You should try to make your vocabulary bigger.You’re supposed to read as many books as you can.There are plenty of books written in easy English for you to read.You will enjoy them.When you meet a new word, you should find it in your dictionary.Your dictionary is your most useful book.From this passage, we know that ().
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35.This shirt is much smarter than()you were wearing yesterday.
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8.The house was very quiet, ()as it was on the side of a mountain.
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47.The Great Wall is a great tourist ()drawing millions of visitors every year.
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44.Americans eat ()vegetables per person today as they did in 1910.
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35.When I look at myself ()the mirror, sometimes I get frightened.
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45.She gave us food and clothes and asked for nothing in return, which made us very grateful.
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35.()seeing the damage he had done, the child felt ashamed.
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36.My teacher was made ()his teaching because of poor health.

A、 giving up

B、 to give up

C、 given up

D、 give up

答案:B

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50.You may ()these heavy clothes till you need them again next winter since spring is here,

A.  put off

B.  put down

C.  put over

D.  put away

https://www.shititong.cn/cha-kan/shiti/0008d303-0d91-a37c-c0a6-5204e26ea600.html
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3. Passage FifteenBig 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, Monar 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 sales people,” 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/0008d307-c2f5-7f8e-c0d6-fbc8a8b28600.html
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1. Passage SeventeenNo one knows how man learned to make words.Perhaps he began by making sounds like those made by animals.Perhaps he grunted like a pig when he lifted something heavy.Perhaps he made sounds like those he heard all round him——water splashing, bees humming, a stone falling to the ground.Somehow, he learned to make words.As the centuries went by, he made more and more new words.This is what we mean by language.People living in different countries made different kinds of words.Today there are about fifteen hundred different languages in the world.Each contains many thousands of words.A very large English dictionary, for example, contains four or five hundred thousand words.But we do not need all these.Only a few thousand words are used in everyday life.The words you know are called your vocabulary.You should try to make your vocabulary bigger.You’re supposed to read as many books as you can.There are plenty of books written in easy English for you to read.You will enjoy them.When you meet a new word, you should find it in your dictionary.Your dictionary is your most useful book.From this passage, we know that ().
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35.This shirt is much smarter than()you were wearing yesterday.

A.  one

B.  the one

C.  which

D.  that

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8.The house was very quiet, ()as it was on the side of a mountain.

A.  isolated

B.  isolating

C.  being isolated

D.  having been isolated

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47.The Great Wall is a great tourist ()drawing millions of visitors every year.

A.  attention

B.  arrangement

C.  attraction

D.  appointment

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44.Americans eat ()vegetables per person today as they did in 1910.

A.  more than twice

B.  as twice as many

C.  twice as many as

D.  more than twice as many

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35.When I look at myself ()the mirror, sometimes I get frightened.

A.  On

B.  in

C.  at

D.  within

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45.She gave us food and clothes and asked for nothing in return, which made us very grateful.
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35.()seeing the damage he had done, the child felt ashamed.

A.  By

B.  On

C.  At

D.  For

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