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This sort of rude behavior in public hardly（）a person in your position.

After the heavy rain, a builder was called to repair the roof, which was（）.

She was so fat that she could only just（）through the door.

The job of a student accommodation officer（）a great many visits to landladies.

The tone of the article（）the writer’s mood at the time.

A great amount of work has gone into（）the Cathedral to its previous splendor.

It is an offence to show（）against people of different races.

There are only ten apples left in the baskets,（）the spoilt ones.

Land belongs to the city; there is（）thing as private ownership of land.

It is imperative that the government（）more investment into the shipbuilding industry.

Susan is very hardworking, but her pay is not（）for her work.

I am surprised（）this city is a dull place to live in.

Loudspeakers are fixed in the hall so that everyone（）an opportunity to hear the speech.

（）dull he may be，he is certainly a very successful top executive.

If only I（）play the guitar as well as you!

The priest made the（）of the cross when he entered the church.

He asked me to lend him some money, which I agreed to do,（）that he paid me back the following week.

That was not the first time he（）us. I think it’s high time we（）strong actions against him.

Wild Bill Donovan would have loved the Internet. The American spymaster who built the Office of Strategic Services in World War II and later laid the roots for the CTA was fascinated with information. Donovan believed in using whatever tools came to hand in the “great game” of espionage—spying as a “profession”. These days the Net, which has already re-made such everyday pastimes as buying books and sending mail，is reshaping Donovan’s vocation as well.The latest revolution isn’t simply a matter of gentlemen reading other gentlemen’s e-mail. That kind of electronic spying has been going on for decades. In the past three or four years, the World Wide Web has given birth to a whole industry of point-and-click spying. The spooks call it “open source intelligence,” and as the Net grows, it is becoming increasingly influential. In 1995 the CIA held a contest to see who could compile the most data about Burundi. The winner, by a large margin，was a tiny Virginia company called Open-Source Solutions, whose clear advantage was its mastery of the electronic world.Among the firms making the biggest splash in the new world is Straitford, Inc., a private intelligence-analysis firm based in Austin, Texas. Straitford makes money by selling the results of spying (covering nations from Chile to Russia) to corporations like energy-services firm McDermott International. Many of its predictions are available online at www. Straitford.com.Straiford president George Friedman says he sees the online world as a kind of mutually reinforcing tool for both information collection and distribution，a spymaster’s dream. Last week his firm was busy vacuuming up data bits from the far corners of the world and predicting a crisis in Ukraine. “As soon as that report runs, we’ll suddenly get 500 new internet sign-ups from Ukraine，” says Friedman, a former political science professor. “And we’ll hear back from some of them.” Open-source spying does have its risks, of course, since it can be difficult to tell good information from back. That’s where Straitford earns its keep.Friedman relies on a lean staff of 20 in Austin. Several of his staff members have military-intelligence backgrounds. He sees the firm’s outsider status as the key to its success- Straitford’s briefs don’t sound like the usual Washington back-and-forthing, whereby agencies avoid dramatic declarations on the chance they might, be wrong. Straitford, says Friedman, takes pride in its independent voice.1. The emergence of the Net has（）.2. Donovan’s story is mentioned in the text to（）.3. The phrase “making the biggest splash” most probably means（）.4. It can be learned from Paragraph 4 that（）.5. Straitford is most proud of its（）.

Since the dawn of human ingenuity, people have devised ever more cunning tools to cope with work that is dangerous, boring, burdensome, or just plain nasty. That compulsion has resulted in robotics—the science of conferring various human capabilities on machines. And if scientists have yet to create the mechanical version of science fiction, they have begun to come close.As a result, the modern world is increasingly populated by intelligent gizmos whose presence we barely notice but whose universal existence has removed much human labor. Our factories hum to the rhythm of robot assembly arms. Our banking is done at automated teller terminals that thank us with mechanical politeness for the transaction. Our subway trains are controlled by tireless robot-drivers. And thanks to the continual miniaturization of electronics and micro-mechanics, there are already robot systems that can perform some kinds of brain and bone surgery with sub-millimeter accuracy—far greater precision than highly skilled physicians can achieve with their hands alone.But if robots are to reach the next stage of laborsaving utility, they will have to operate with less human supervision and be able to make at least a few decisions for themselves—goals that pose a real challenge. “While we know how to tell a robot to handle a specific error,” says Dave Lavery, manager of a robotics program at NASA，“we can’t yet give a robot enough ‘common sense’ to reliably interact with a dynamic world. ’’Indeed the quest for true artificial intelligence has produced very mixed results. Despite a spell of initial optimism in the 1960s and 1970s when it appeared that transistor circuits and microprocessors might be able to copy the action of the human brain by the year 2010, researchers lately have begun to extend that forecast by decades if not centuries.What they found, in attempting to model thought, is that the human brain’s roughly one hundred billion nerve cells are much more talented —and human perception far more complicated—than previously imagined. They have built robots that can recognize the error of a machine panel by a fraction of a millimeter in a controlled factory environment. But the human mind can glimpse a rapidly changing scene and immediately disregard the 98 percent that is irrelevant, instantaneously focusing on the monkey at the side of a winding forest road or the single suspicious face in a big crowd. The most advanced computer systems on Earth can’t approach that kind of ability, and neuroscientists still don’t know quite how we do it.1. Human ingenuity was initially demonstrated in（）.2. The word “gizmos” (Line 2，Paragraph 2) most probably means（）.3. According to the text, what is beyond man’s ability now is to design a robot that can（）.4. Besides reducing human labor, robots can also（）.5. The author uses the example of a monkey to argue that robots are（）.

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