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题型:阅读理解-阅读单选 难度:0.65 引用次数:89 题号:22482972

Hundreds of people die at sea every year due to ship and airplane accidents. Emergency teams have little time to rescue those in the water because the probability of finding a person alive falls dramatically after six hours. Beyond tides and challenging weather conditions, unsteady coastal currents often make search and rescue operations extremely difficult.

New insight into coastal flows gained by an international research team led by George Haller, Professor of Nonlinear Dynamics at ETH Zurich, promises to enhance the search and rescue techniques currently in use. Using tools from dynamical systems theory and ocean data, the team has developed an algorithm (算法) to predict where objects and people floating in water will go. “Our work has a clear potential to save lives,” says Mattia Serra, the first author of a study recently published in Nature Communications.

In today’s rescue operations at sea, complicated models of ocean dynamics and weather forecasting are used to predict the path of floating objects. For fast-changing coastal waters, however, such predictions are often inaccurate due to uncertain boundaries and missing data. As a result, a search may be launched in the wrong location, causing a loss of precious time.

Haller’s research team obtained mathematical results predicting that objects floating on the ocean’s surface should gather along a few special curves (曲线) which they call TRansient Attracting Profiles (TRAPs). These curves can’t be seen with our eyes but can be tracked from instant ocean surface current data using recent mathematical methods developed by the ETH team. This enables quick and precise planning of search paths that are less sensitive to uncertainties in the time and place of the accident.

In cooperation with a team from MIT, the ETH team tested their new, TRAP-based search algorithm in two separate ocean experiments near Martha’s Vineyard, which is on the northeastern coast of the United States. Working from the same real-time data available to the Coast Guard, the team successfully identified TRAPs in the region in real-time. They found that buoys and manikins (浮标和人体模型) thrown in the water indeed quickly gathered along these emerging curves. “Of several competing approaches tested in this project, this was the only algorithm that consistently found the right location”, says Haller.

“Our results are rapidly obtained, easy to interpret, and cheap to perform,” points out Serra. Haller stresses: “Our hope is that this method will become a standard part of the tool kit of coast guards everywhere.”

1. In a search and rescue operation, ________.
A.the survival rate drops to almost zero after six hours
B.the use of dynamics leads to the wrong location
C.weather conditions are a determining factor
D.changing currents present a challenge
2. The main significance of the new algorithm is ________.
A.accurately predicting weather conditions during rescue operations
B.dependence on satellite technology to locate distressed individuals at sea
C.cost-effective, efficient tracking of objects and individuals in coastal waters
D.predicting the exact time and location of ocean accidents
3. Paragraph 5 mainly talks about ________.
A.the collection of data
B.the testing of the algorithm
C.the identification of the TRAPs
D.the cooperation of two research teams
4. Which of the following is the best title for the passage?
A.How Mathematics Can Save Lives at Sea
B.How Coastal Waters Affect Saving Lives
C.Why Algorithms Are Popular in Rescue Operations
D.Why Success Rates of Rescue Operations Have Fallen
【知识点】 科学技术 新闻报道

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【推荐1】Chinese researchers have developed a robot designed to help doctors treat the new coronavirus and other highly infectious diseases.

The machine has a long robotic arm attached to a base with wheels. It can perform some of the same medical examination tasks as doctors. Cameras record the robot’s activities, which are controlled remotely so doctors can avoid coming in close contact with infected patients. Doctors and other medical workers can operate the machine from a nearby room, or from much farther away.

The robot’s main designer is Zheng Gangtie, an engineer and professor at Tsinghua University. He told a news agency that he got the idea for the device around the time of the Lunar New Year in January, when the COVID-19 virus was spreading quickly.

Zheng said a friend of his is the head of Beijing’s Tsinghua Changgung Hospital. He said his friend told him that one of the biggest problems in dealing with COVID-19 was that healthcare workers treating patients were getting infected themselves. Zheng said he wanted to do something to help this situation.

So the engineer gathered a team and went to work on the robotic device. The team was able to convert(转换) two robotic arms. The devices use the same technology that is used for space equipment. The new robot is almost completely automated and perform the most dangerous tasks. However, some doctors said that it would be better not to build such robots to be fully automatic. This is because many patients still desire a personal presence to help calm them during treatment.

The plan is to use the robot to help treat coronavirus patients, along with assistance from nurses and other hospital workers. Zheng said he would like to build more of the robots and does not plan to make any profit from the design, but hopes that a company can begin that process.

1. What is one feature of the robot?
A.It takes the place of doctors.B.It performs tasks through cameras.
C.It frees patients from diseases.D.It allows doctors to work from a distance.
2. Why did Zheng mention his friend in Paragraph 4?
A.To appreciate his timely help.
B.To introduce the caring expert.
C.To explain the reason for creating the device.
D.To show the great danger of COVID-19 virus.
3. What did some doctor say about the device in Paragraph 5?
A.It requires some improvement.B.It can’t replace doctors completely.
C.It is not useful to patients.D.It is of great convenience.
4. What can be inferred about Zheng?
A.He cares little about money.B.He gets on well with his friends.
C.He is a leading scientist in his field.D.He is a teacher at Tsinghua University.
2021-05-02更新 | 136次组卷
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【推荐2】Among the annoying challenges facing the middle class is one that will probably go unmentioned in the next presidential campaign: What happens when the robots come for their jobs?

Don't dismiss that possibility entirely. About half of U.S. jobs are at high risk of being automated, according to a University of Oxford study, with the middle class disproportionately squeezed. Lower-income jobs like gardening or day care don't appeal to robots. But many middle-class occupations-trucking, financial advice, software engineering — have aroused their interest, or soon will. The rich own the robots, so they will be fine.

This isn't to be alarmist. Optimists point out that technological upheaval has benefited workers in the past. The Industrial Revolution didn't go so well for Luddites whose jobs were displaced by mechanized looms, but it eventually raised living standards and created more jobs than it destroyed. Likewise, automation should eventually boost productivity, stimulate demand by driving down prices, and free workers from hard, boring work. But in the medium term, middle-class workers may need a lot of help adjusting.

The first step, as Erik Brynjolfsson and Andrew McAfee argue in The Second Machine Age, should be rethinking education and job training. Curriculums — from grammar school to college —   should evolve to focus less on memorizing facts and more on creativity and complex communication. Vocational schools should do a better job of fostering problem-solving skills and helping students work alongside robots. Online education can supplement the traditional kind. It could make extra training and instruction affordable. Professionals trying to acquire new skills will be able to do so without going into debt.

The challenge of coping with automation underlines the need for the U.S. to revive its fading business dynamism: Starting new companies must be made easier. In previous eras of drastic technological change, entrepreneurs smoothed the transition by dreaming up ways to combine labor and machines. The best uses of 3D printers and virtual reality haven't been invented yet. The U.S. needs the new companies that will invent them.

Finally, because automation threatens to widen the gap between capital income and labor income, taxes and the safety net will have to be rethought. Taxes on low-wage labor need to be cut, and wage subsidies such as the earned income tax credit should be expanded: This would boost incomes, encourage work, reward companies for job creation, and reduce inequality.

Technology will improve society in ways big and small over the next few years, yet this will be little comfort to those who find their lives and careers upended by automation. Destroying the machines that are coming for our jobs would be nuts. But policies to help workers adapt will be indispensable.

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4. The author suggests that tax policies be aimed at            .
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2021-08-18更新 | 114次组卷
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【推荐3】Brooke wanted a dollhouse and some sugar cookies. So the 6-year-old asked Alexa to get them. Alexa wasn’t her mom or babysitter. It was voice-activated home assistant powered by artificial intelligence (AI). Alexa comes with the Amazon Echo device. And it made Brooke’s wishes come true. A few days later, much to her parents surprise, a $170 dollhouse and four pounds of cookies showed up.

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But voice shopping has its downsides. Unwanted dollhouses aren’t the biggest problem. It’s usually very easy to cancel an order or return items. The thing that creeps some people out is that these assistants are always listening. They have to be able to respond when you want them. So they listen to for “Alexa” or “OK Google” or another command. When they hear it, they start recording the conversation. Some have worried about what happens to these recordings. Should companies be allowed to use them to learn about people’s shopping habits? Should police access them to solve a crime? What if someone hacks the device?

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