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题型:阅读理解-阅读单选 难度:0.65 引用次数:145 题号:22401520

Researchers in China have developed a robotic chemist powered by AI that might be able to obtain oxygen from water on Mars. The robot uses materials found on the red planet to produce catalysts (催化剂) that break down water, releasing oxygen.

“If you think about the challenge of going to Mars, you have to work with local material,” says Andy Cooper, a chemist at the University of Liverpool. “So I can see the logic behind it.”

The study was led by Jun Jiang at the University of Science and Technology of China Jiang and his team used a mobile machine the size of a refrigerator with a robotic arm to analyse five meteorites (陨石) that had come from Mars. The team’s goal was to investigate whether the machine could produce useful catalysts from the material.

The AI-powered system used some chemicals to dissolve (溶解) and separate the material, then analysed the resulting substances that consists of two or more elements. These then formed the basis of a search of more than 3.7 million formulae (公式) for a chemical that could break down water—known to exist as ice at Mars’ poles and under the planet’s surface-a process the team said would have taken a human researcher 2, 000 years. The result was a catalyst that could release oxygen from water, with the potential for use on a future Mars mission.

If a catalyst that can produce oxygen from water can be made on Mars, this would remove the need for missions to carry such a catalyst from Earth. Jiang says that for every square metre of Martian material, his group’s system could make nearly 60 grams of oxygen per hour, potentially removing the need for astronauts on future missions to the planet to carry oxygen from Earth to use when they get there. “The robot can work continuously for years, ” says Jiang.

Jiang points out that his group’s robotic chemist could also be used to produce other useful catalysts on Mars, for processes like fertilizing (施肥) plants. “Different chemicals can be made by this robot,” he says. And Mars isn’t the only place where it could be used. “Maybe lunar soil is another direction,” Jiang says.

1. What can we learn about the study?
A.A chemist with a robotic arm is involved.
B.Researchers aim to purify the water on Mars.
C.Oxygen is of vital importance in space travels.
D.Materials from Mars are analysed to produce catalysts.
2. What is Andy Cooper’s attitude towards the study?
A.Approving.B.Unclear.C.Dismissive.D.Doubtful.
3. What’s the major advantage of the AI-powered system in the study?
A.Precise calculation.B.Integration of materials.
C.High-speed operation.D.Flexibility of movement.
4. According to Jiang, which of the following is correct?
A.The robot can stand endless working time.
B.Martian catalysts can produce more oxygen.
C.The system can make 60 grams of oxygen per day.
D.The robotic chemist can be applied in a broader way.

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【推荐1】When Denis wants to relax at work, he steps into a quiet room, sits in a chair, slips on a virtual-reality headset, and escapes to the beach. For Denis, that moment is a tool he relies on regularly to both relieve and prevent stress.

He's not the only one at his company to use the room, where workers can also use a headset to watch a moon walk, take a virtual roller-coaster ride or access a meditation (冥 想)app.

Research shows VR can help reduce pain and anxiety. But it's not yet clear why it works. Experts believe it's related to the technology's power to distract.

“Whatever their problems are, whatever their stresses are, they can leave reality and have a different emotional mood," Denis said.

Virtual-reality headsets haven't taken off with consumers, but they're now powerful and inexpensive enough for companies to consider investing in them to help make workers and customers happier.

The headsets may help people take a virtual break from their surroundings, but there are challenges to consider. Ramon Llamas, a tech-market researcher, noted that there could be challenges in handing out headsets. Some people get sick or dizzy while using virtual reality, and the headsets may get dirty or broken. There's also the task of quickly familiarizing people with using the headsets, especially since VR adoption has been so limited and the ways they are controlled can vary.

For now, Llamas said, he's concerned about privacy and security. What if, for example, someone manages to hack into a headset and insert some content into what you' re watching?

Another potential issue is the management of the headsets and software that goes along with them. This is likely not a complication for an office like Umber Realty's, where people can simply take a headset off if they feel something wrong. But it could be more of a problem if you're stuck in a dentist's chair. “The last thing you want is that in the middle of pulling a tooth something goes wrong," Llamas said.

1. What does Denis's company use Virtual Reality for?
A.Improving the customers' experience.
B.Showing the schedule of his company.
C.Relieving pressure of the staff.
D.Saving the trouble of transportation.
2. How can the VR devices help the users by Denis?
A.Escaping from reality for the moment.B.Improving their thinking ability.
C.Designing work for the company.D.Investing in a new industry.
3. What problems is VR likely to have according to Ramon Llamas?
A.Some hackers will surely endanger users' health.
B.It is hard for users to recognize familiar people.
C.The company may have difficulty storing these devices.
D.Some users may feel uncomfortable when using it.
4. Why does the author mention “pulling a tooth" in the last paragraph?
A.To advise people to make use of VR widely.
B.To prove one of the potential problems of VR.
C.To prevent all patients from using VR.
D.To help dentists to repair teeth with VR.
2020-08-15更新 | 60次组卷
阅读理解-阅读单选(约510词) | 适中 (0.65)

【推荐2】Pretty soon not even your dreams may be private anymore. Japanese scientists have learned how to interpret what you’re dreaming about by measuring your brain activity while you sleep. This data can then be connected to an algorithm that reconstructs your dream so that it can be played back for you when you’re awake, according to the journal Science. In other words, scientists have invented a sort of dream-reading machine. Before long, you may never have to worry about forgetting what you dreamed about ever again. You’ll be able to simply play your dreams back after you wake up in the morning.

The remarkable breakthrough makes use of a fairly straightforward idea: that when we visualize certain types of objects in our minds, our brains generate consistent neural patterns that can then be correlated with what is being visualized. For instance, when you imagine a chair, your brain fires in a pattern that occurs whenever a chair is visualized. An algorithm can then be used to tie the data from a brain scan to the appropriate correlated images. In this way your dream can be reconstructed. So far the research is still fairly basic—researchers only claim to get the dream right about 60 percent of the time—but it’s still an extraordinary turn for the science of the mind.

Here’s how the study worked. Subjects were first asked to hook themselves up to an electroencephalography (EEG) machine, then to fall asleep within an fMRI machine. Scientists used the EEG readings to identify when the subjects began to enter a dreaming phase. The subjects were then promptly woken up and asked to recall what they were dreaming about. This process was repeated nearly 200 times for each subject.

Later, the scientists processed this data and discovered that certain common types of objects from the subjects’ dreams could be correlated with brain patterns as recorded by the fMRI scans. They then used an Internet search engine to look for images that roughly matched the objects from the subjects’ dreams, and entered all of this information into a learning algorithm that improved the model even further. That algorithm was then able to use the data from the dreamers, fMRI scans to assemble videos from the Internet images, basically creating a primitive movie for each dream.

Again, the research is still in a basic phase. So far these videos only represent rough approximations of the images from the subjects’ dreams, but researchers claim that the machined predictions were still better than chance. Over time, the technology will improve as the algorithm learns. The research could eventually revolutionize how dreams are interpreted and understood. Scientists may even find out valuable clues about what the mysterious function of dreaming is in the first place.

1. Which of the following statements is true about dream-reading machine?
A.It can make your dream come true.B.It can rebuild your dream while you sleep.
C.It can help you remember your dream.D.It can record your dream when you are awake.
2. What does the author mainly want to tell us in paragraph 2?
A.How our dream can be rebuilt during sleep.B.Patterns generated in our brain can be visualized.
C.Images can be visualized in our minds.D.The data from a brain scan can build images.
3. What does the underlined word “subjects” refer to in paragraph 3?
A.Main feature of a talk in the research.B.People who were tested in an experiment.
C.Topics which happened in a conversation.D.Courses that were studied in the process.
4. In the experiment, the scientists used a learning algorithm to ________.
A.analyze how our brains generate consistent neural patterns
B.discover when the subjects began to enter a dreaming phase
C.visualize the common types of objects from the subjects’ dreams
D.make the images matching the objects from dreams into videos
5. What’s the author’s attitude towards the machine’s predictions?
A.Doubtful.B.Supportive.C.Optimistic.D.Tolerant.
2022-01-12更新 | 229次组卷
阅读理解-阅读单选(约320词) | 适中 (0.65)
文章大意:本文是一篇说明文。主要介绍的是欧洲一个科学家团队正在探索的一种由木材制成的更环保的晶体管。

【推荐3】A team in Europe are working with wood, but not in the usual ways. They are not carpenters (木匠). Instead, they are scientists exploring how wood can lead to a greener electronic device, a transistor (晶体管) made from balsa wood, whose production releases less climate-warming gas into the air.

Transistors play an important role in computers and other devices. They act like tiny switches to control the flow of electricity. Engineers use them to process and store data. Today’s laptops may host billions of them. So they must be tiny — only a little wider than a strand of DNA.

The new transistor being built by physicist Isak Engquist and his team at Sweden’s Linkoping University isn’t as small as those. Big enough to see and hold, it can stand only an electric pressure that pushes electrons along. And it controls a current using charged particles (粒子) called ions.

This new technology shows a “proof of concept” that the idea can work, even if the new device is not yet ready to put into today’s electronics. “While it seems large by today’s standards, such a transistor still might prove useful for electronics that require low electric pressures,” says Engquist.

“The new transistor suggests that future electronic devices might be made in living plants,” Daniel Simon, a physicist in the team, says. “Imagine peeling away some bark from a living tree,” he says, “and stamping electronic circuits into the living wood.”

In fact, Engquist says, “There are so many ways we can use wood and the components of wood that we would never have thought of.” For instance, he can now imagine a wood-based sensor that could monitor crop health, measure pollution or survey a forest for fire risk.

1. Which can best describe the transistor?
A.Costly.B.Widely used.
C.Time-saving.D.More environmentally friendly.
2. What is the new transistor’s disadvantage compared to common transistors?
A.It is much bigger.B.It can’t stand electric pressure.
C.It can’t be seen.D.It is made from metal.
3. What is Engquist’s attitude to the new transistor’s future?
A.Uncertain.B.Doubtful.C.Positive.D.Indifferent.
4. What may be the best title for the text?
A.Wood’s surprising roles in modern electronic design
B.Wood-made transistors: a step toward greener electronics
C.Scientists are researching the history of transistors
D.Scientists are working as carpenters to invent transistors
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