单项选择题
Why did people dress strangely

A.They wanted to frighten away spirits.
B.They wanted to frighten their neighbors.
C.They wanted to have fun.
D.They wanted to have a celebration.


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你可能感兴趣的试题

1.单项选择题
The Chinese satellite is supposed to return to the earth______.

A.within 16 months
B.soon
C.in 6 months’ time
D.on Thursday

2.单项选择题Text 2
For years there have been endless articles stating that scientists are on the verge of achieving artificial intelligence, that it is just around the corner. The truth is that it may be just around the corner, but they haven’t yet found the right clock.
Artificial intelligence aims to build machines that can think. One immediate problem is to define thought, which is harder than you might think. The specialists in the field of artificial intelligence complain, with some justification, that anything that their machines do is dismissed as not being thought. For example, computers can now play very, very good chess. They can’t beat the greatest players in the world, but they can beat just about anybody else. If a human being played chess at this level, he or she would certainly be considered smart. Why not a machine The answer is that the machine doesn’t do anything clever in playing chess. It uses its blinding speed to do a brute-force search of all possible moves for several moves ahead, evaluates the outcomes and picks the best. Humans don’t play chess that way. They see patterns, which computers don’t.
This wooden approach to thought characterizes machine intelligence. Computers have no judgment, no flexibility, no common sense. So-called expert systems, one of the hottest areas in artificial intelligence, aim to mimic the reasoning processes of human experts in a limited field, such as medical diagnosis or weather forecasting. There may be limited commercial applications for this sort of thing, but there is no way to make a machine think about anything under the sun, which a teenager can do. The hallmark of artificial intelligence to date is that if a problem is severely restricted, a machine can achieve limited success. But when the problem is expanded to a realistic one, computers fall flat on their display screens. For example, machines can understand a few words spoken individually by a speaker that they have been trained to hear. They cannot understand continuous speech using an unlimited vocabulary spoken by just any speaker.
We learn from the second paragraph that______.

A.the writer thinks that the specialists’ complaints have some reasons
B.anything that the computer does can be regarded as thought
C.it is not very difficult to define thought
D.computers play chess in exactly the same way as humans

4.单项选择题
How long does the training period last

A.About three weeks.
B.At least half a year.
C.Two years or more.
D.Two to four months.

6.单项选择题
Why does the woman like San Francisco

A.People there are friendlier.
B.It has the best food and music.
C.It has less traffic.
D.It is advanced.

7.单项选择题
What does the man imply

A.The woman has a natural for art.
B.Women have a better artistic taste than men.
C.He doesn’t like abstract paintings.
D.He isn’t good at abstract thinking.

8.单项选择题
What day is Halloween

A.December 31st.
B.October 31st.
C.November 4th.
D.November 1st.

9.单项选择题
Text 1
The struggle against malnutrition and hunger is as old as man himself, and never across the face of our planet has outcome been more in doubt. Malnutrition caused much suffering to an estimated 400 million to 1.5 billion of the world’s poor. Even in the wealthy US poverty means undernourishment for an estimated ten to twenty million. Hardest hit are children, whose growing bodies demand two and a half times more protein, pound for pound, than those of adults. Nutrition experts estimate that 70 percent of the children in low-income countries are affected.
Badly shaped bodies tell the tragic story of malnutrition. Medical science identifies two major types of malnutrition which usually occur in combination. The first, kwashiorkor (恶性营养不良), is typified by the bloated look. The opposite of what we associate with starvation. Accumulated fluids pushing against wasted muscles account for the plumpness of hands, feet, belly, and face. Lean shoulders reveal striking thinness. Caused by an acute lack of protein kwashiorkor can bring brain damage, anemia, diarrhea, irritability, apathy, and loss of appetite.
On the other hand, stick limbs, a bloated belly, wide eyes, and the stretched skin face of an old person mark victims of marasmus, a word taken from the Greek "to waste away". Lacking calories as well as protein, sufferers may weigh only half as much as normal. With fat gone, the skin hangs in wrinkles or draws tight over bones. With marasmus comes anemia, diarrhea, dehydration, and a very hungry appetite. Children, whose growing bodies require large amounts of protein, have to suffer in greatest numbers, but perhaps only three percent of all child victims suffer the extreme stages described.
Scientists are doing best to develop new weapons against malnutrition and starvation. But two thirds of the human population of 3.9 billion live in the poorest countries which also have the highest birth rates. Thus, of the 74 million people added to the population each year, four out of five will be born in a country unable to supply its people’s nutritional needs.
Malnutrition has caused much suffering to millions of people all over the world for a long time______.

A.but the problem is not as serious now as before
B.and the problem is as serious now as at any time before
C.but the future looks quite promising
D.but the problem is likely to become less serious

10.单项选择题Text 2
For years there have been endless articles stating that scientists are on the verge of achieving artificial intelligence, that it is just around the corner. The truth is that it may be just around the corner, but they haven’t yet found the right clock.
Artificial intelligence aims to build machines that can think. One immediate problem is to define thought, which is harder than you might think. The specialists in the field of artificial intelligence complain, with some justification, that anything that their machines do is dismissed as not being thought. For example, computers can now play very, very good chess. They can’t beat the greatest players in the world, but they can beat just about anybody else. If a human being played chess at this level, he or she would certainly be considered smart. Why not a machine The answer is that the machine doesn’t do anything clever in playing chess. It uses its blinding speed to do a brute-force search of all possible moves for several moves ahead, evaluates the outcomes and picks the best. Humans don’t play chess that way. They see patterns, which computers don’t.
This wooden approach to thought characterizes machine intelligence. Computers have no judgment, no flexibility, no common sense. So-called expert systems, one of the hottest areas in artificial intelligence, aim to mimic the reasoning processes of human experts in a limited field, such as medical diagnosis or weather forecasting. There may be limited commercial applications for this sort of thing, but there is no way to make a machine think about anything under the sun, which a teenager can do. The hallmark of artificial intelligence to date is that if a problem is severely restricted, a machine can achieve limited success. But when the problem is expanded to a realistic one, computers fall flat on their display screens. For example, machines can understand a few words spoken individually by a speaker that they have been trained to hear. They cannot understand continuous speech using an unlimited vocabulary spoken by just any speaker.
From the passage we know that the author______.

A.thinks that scientists are about to achieve artificial intelligence
B.doubts whether scientists can ever achieve artificial intelligence
C.does not think that scientists have found real artificial intelligence
D.is sure that scientists have achieved artificial intelligence