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  When you think about math, you probably don't think about breaking the law, solving mysteries or finding criminals.But a mathematician in Maryland does, and he has come up with mathematical tools to help police find criminals.

  People who solve crimes look for patterns that might reveal(揭示)the identity of the criminal.It's long been believed, for example, that criminals will break the law closer to where they live, simply because it's easier to get around in their own neighborhood.If police see a pattern of robberies in a certain area, they may look for a suspect who lives near the crime scenes.So, the farther away from the area a crime takes place, the less likely it is that the same criminal did it.

  But Mike O'Leary, a mathematician at Towson University in Maryland, says that this kind of approach may be too simple.He says that police may get better clues to the location of a criminal's home base by combining these patterns with a city's layout(布局)and historical crime records.

  The records of past crimes contain geographical information and can reveal easy targets-that is, the kind of stores that might be less difficult to rob.Because these stores are along roads, the locations of past crimes contain information about where major streets and intersections are.O'Leary is writing a new computer program that will quickly provide this kind of information for a given city.His program also includes information about the people who live in the city, and information about how a criminal's patterns change with age.It's been shown, for example, that the younger the criminal, the closer to home the crime.

  Other computer programmers have worked on similar software, but O'Leary's uses more math.The mathematician plans to make his computer program available, free of charge, to police departments around the country.

  The program is just one way to use math to fight crime.O'Leary says that criminology-the study of crime and criminals-contains a lot of good math problems.“I feel like I'm in a gold mine and I'm the only one who knows what gold looks like,” he says.“It's a lot of fun.”

(1)

To find criminals, police usually ________.

[  ]

A.

check who are on the crime scene

B.

seek help from local people

C.

depend on new mathematical tools

D.

focus on where crimes take place

(2)

O'Leary is writing a computer program that ________.

[  ]

A.

uses math to increase the speed of calculation

B.

tells the identity of a criminal in a certain area

C.

provides the crime records of a given city

D.

shows changes in criminals' patterns

(3)

By “I'm the only one who knows what gold looks like”, O'Leary means that he ________.

[  ]

A.

is better at finding gold than others

B.

is the only one who uses math to make money

C.

knows best how to use math to help solve crimes

D.

has more knowledge of gold than other mathematicians

(4)

What is the main idea of the text?

[  ]

A.

Math could help police find criminals.

B.

Criminals live near where crimes occur.

C.

Crime records could be used to fight crime.

D.

Computer software works in preventing crimes.

答案:1.D;2.C;3.C;4.A;
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科目:高中英语 来源:设计必修一英语北师版 北师版 题型:050

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How Long Can People Live?

  She took up skating at age 85, made her first movie appearance at age 114, and held a concert in the neighborhood on her 121st birthday.

  Whe n it comes to long life, Jeanne Calment is the world’s recordholder.She lived to the ripe old age of 122.So is 122 the upper limit to the human life span(寿命)?If scientists come up with some sort of pill or diet that would slow aging, could we possibly make it to 150-or beyond?

  Researchers don’t entirely agree on the answers.“Calment lived to 122, so it wouldn’t surprise me if someone alive today reaches 130 or 135,”says Jerry Shay at the University of Texas.

  Steve Austad at the University of Texas agrees.“People can live much longer than we think,”he says.“Experts used to say that humans couldn’t live past 110.When Calment blew past that age, they raised the number to 120.So why can’t we go higher?”

  The trouble with guessing how old people can live to be is that it’s all just guessing.“Anyone can make up a number,”says Rich Miller at the University of Michigan.“Usually the scientist who picks the highest number gets his name in Time magazine.”

  Won’t new anti-aging techniques keep us alive for centuries?Any cure, says Miller, for aging would probably keep most of us kicking until about 120.Researchers are working on treatments that lengthen the life span of mice by 50 percent at most.So, if the average human life span is about 80 years, says Miller,“adding another 50 percent would get you to 120.”

  So what can we conclude from this little disagreement among the researchers?That life span is flexible(有弹性的),but there is a limit, says George Martin of the University of Washington.“We can get flies to live 50 percent longer,”he says.“But a fly’s never going to live 150 years.”

  “Of course, if you became a new species(物种),one that ages at a slower speed, that would be a different story,”he adds.

  Does Martin really believe that humans could evolve(进化)their way to longer life?“It’s pretty cool to think about it,”he says with a smile.

(1)

What does the story of Jeanne Calment prove to us?

[  ]

A.

People can live to 122.

B.

Old people are creative.

C.

Women are sporty at 85.

D.

Women live longer than men.

(2)

According to Steve Austad at the University of Texas, ________.

[  ]

A.

the average human life span could be 110

B.

scientists cannot find ways to slow aging

C.

few people can expect to live to over 150

D.

researchers are not sure how long people can live

(3)

Who would agree that a scientist will become famous if he makes the wildest guess at longevity?

[  ]

A.

Jerry Shay.

B.

Steve Austad

C.

Rich Miller

D.

George Martin

(4)

What can we infer from the last three paragraphs?

[  ]

A.

Most of us could be good at sports even at 120.

B.

The average human life span cannot be doubled.

C.

Scientists believe mice are aging at a slower speed than before.

D.

New techniques could be used to change flies into a new species.

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