1 . A robot with a sense of touch may one day feel “pain”, both its own physical pain and sympathy for the pain of its human companions. Such touchy-feely robots are still far off, but advances in robotic touch-sensing are bringing that possibility closer to reality.
Sensors set in soft, artificial skin that can detect both a gentle touch and a painful strike have been hooked up to a robot that can then signal emotions, Asada reported February 15 at the annual meeting of the American Association for the Advancement of Science. This artificial “pain nervous system,” as Asada calls it, may be a small building block for a machine that could ultimately experience pain. Such a feeling might also allow a robot to “sympathize” with a human companion’s suffering.
Asada, an engineer at Osaka University, and his colleagues have designed touch sensors that reliably pick up a range of touches. In a robot system named Affetto, a realistic looking child’s head, these touch and pain signals can be converted to emotional facial expressions.
A touch-sensitive, soft material, as opposed to a rigid metal surface, allows richer interactions between a machine and the world, says neuroscientist Kingson Man of the University of Southern California. Artificial skin “allows the possibility of engagement in truly intelligent ways”.
Such a system, Asada says, might ultimately lead to robots that can recognize the pain of others, a valuable skill for robots designed to help care for people in need, the elderly, for instance.
But there is an important distinction between a robot that responds in a predictable way to a painful strike and a robot that’s able to compute an internal feeling accurately, says Damasio, a neuroscientist also at the University of Southern California. A robot with sensors that can detect touch and pain is “along the lines of having a robot, for example, that smiles when you talk to it,” Damasio says. ‘It’s a device for communication of the machine to a human.” While that’s an interesting development, “it’s not the same thing” as a robot designed to compute some sort of internal experience, he says.
1. What do we know about the “pain nervous system”?| A．It is named Affetto by scientists. | B．It is a set of complicated sensors. |
| C．It is able to signal different emotions. | D．It combines sensors and artificial skin. |
| A．Delivered. | B．Translated. | C．Attached. | D．Adapted. |
| A．Robots can smile when talked to. |
| B．Robots can talk to human beings. |
| C．Robots can compute internal feelings |
| D．Robots can detect pains and respond accordingly. |
| A．Machines Become Emotional | B．Robots Inch to Feeling Pain |
| C．Human Feelings Can Be Felt | D．New Devices Touch Your Heart |
2 . The use of AI (artificial intelligence) is becoming more common in many branches of industry and online shopping. Traditional lines of work, such as goods transport and driving, are developing in a similar direction although mainly out of public view. Scientists at the University of Göttingen have now investigated how efficient (高效的) the use of AI can be in the commercial management of trucks.
“Digital applications—as well as machine leaning, a kind of AI—are increasingly applied to operations and courses in the transport area,” explains Professor Matthias Klumpp from the Faculty of Economics. “The question in the commercial area, however, is whether or not this contributes to achieving goals.”
To answer this question, the researchers compared the work efficiency of truck drivers with their main use of AI applications. Looking at trade delivery by truck, they studied three groups: the first drove completely following human decision-making models; the second used a combination of human and machine; and the third depended completely on fully automated decisions.
The researchers found that an intelligent combination of human work and decision-making abilities with AI applications promises the highest transport and driving efficiency. “On average, the second group achieved the most efficient transport trips, with the fewest interventions (干预) and off-course from the best path.” one researcher said, “Clearly, neither a completely human decision-making structure nor a fully automated driving system can promise to meet current goods transport requirements.” The scientists therefore summarized that despite the progress of AI in the field of transportation by truck, human experience and decision-making abilities will still be necessary in the longer term. However, the challenge is that a wide range of training and qualification (资格) needs will come along by working with Al applications, especially for simple goods transport activities.
1. What does Matthias Klumpp focus on?| A．The efficiency of AI. |
| B．The advantages of AI. |
| C．The problems caused by AI. |
| D．The wide applications of AI. |
| A．By providing examples. |
| B．By making comparisons. |
| C．By using different trucks. |
| D．By listing three experiments. |
| A．Al is better at making decisions. |
| B．A balance is needed between human and AI. |
| C．Human will soon be replaced by AI in driving. |
| D．Al applications meet the current requirements. |
| A．The future of transport. |
| B．Artificial intelligence as a co-driver. |
| C．Artificial intelligence-a better choice in driving. |
| D．The strengths of artificial intelligence in transport. |
3 . Just as a hungry brain craves (渴望) food, a lonely brain craves people. A new brain study demonstrates this. After being left alone, it shows people's brains would be activated at the sight of other people. The action was in the same brain region that speeds up when a hungry person sees food.
Livia Tomova, a neuroscientist, who studies how the brain produces mental activities, and her colleagues began this study. They recruited (招募) 40 people. On one day, the participants had to fast—not eat anything at all—for 10 hours. On another day, the same people were placed in a room for 10 hours. They couldn't see anyone. No friends, no family and no social media. They weren't even allowed to check their email. After both days, Tomova and her colleagues put the people in a MRI machine. It shows activity in the brain by tracking how much blood is flowing to each region.
At the end of each day, the participants showed high activity in a brain area called the midbrain. The scientists were interested in two, small areas within it. Both areas produce dopamine, a chemical that is important in craving and rewards. The two areas activated when hungry participants saw pictures of tasty pizza or juicy hamburgers. After the volunteers had been isolated, those brain areas became active when they saw social activities they missed. It might be playing sports or chatting with friends.
The midbrain plays an important part in people's motivation to seek food or friends. In fact, it responds to food and social signals even when people aren't hungry or lonely. But hunger and loneliness increased the reactions and made people's responses specific to the thing they were missing. And the more hunger or isolation the volunteers said they were experiencing, the stronger the activity in this part of the brain. Tomova and her colleagues published their results November 23 in Nature Neuroscience.
1. How does Tomova test out the result of the study?| A．By stimulating desire. | B．By controlling blood flow. |
| C．By monitoring brain activity. | D．By examining mental activities. |
| A．It consists of two areas. | B．It helps motivate desire for food. |
| C．It stops working when people are full. | D．It decreases responses to lost friends. |
| A．A midbrain area. | B．A social activity. | C．A volunteer. | D．A hamburger. |
| A．Dopamine—a Sure Sign of Age | B．Midbrain—a Nest for the Thoughts |
| C．Hunger Makes Mental Health Struggle | D．Loneliness Makes Our Brains Need People |
4 . The Rise of Voice Technology
Voice technology has come a long way. Just a few years ago, it would have been unusable. But now, those who follow the technology know that it has got considerably better.
Writing with your voice raises several interesting questions. How difficult is it actually? Human speech involves a lot more starting and stopping with errors and the need for repairing broken sentences than you may think. Even gifted speakers make mistakes. To turn the spoken word into reasonable writing requires lots of planning. You’ll need some kinds of notes or other organisers to make it work.
Another question turning speech into writing raises is the style. How would writing make the change that people speak their writing rather than type? Chances are that it would come up with many more short sentences and more concrete language, which is good. It would probably also rely on prepared phrases a lot more often, which is not available when you are speaking quickly.
To confirm this, a column was not written, but dictated (听写). It was composed from brief notes written down for structure only, and it was edited for length, with all of the original errors kept in. Here were the results. The first was that the literal accuracy was extremely high. There weren’t many cases where the software had heard one word incorrectly and written down another. But the other result was that the readability of this column was rather bad. Obviously, the blame is not with the technology at all, which turns out to be rather good. Speaking into writing relies on a better human brain than the one we currently possess. Writing is hard. There’s a reason it can’t be done at the speed of speech, in real time.
To clarify the matter, this time paragraph breaks were added after the whole writing. Punctuations (标点) had to be spoken aloud, and after a full stop, the first word in the new sentence was capitalized automatically. Some minor punctuation marks were added to make it clearer. To improve accuracy, people “trained” the software beforehand, reading a prewritten passage aloud. Actually it turns out to be more effective. All of these ensure the satisfactory completion of turning speech into writing.
Language is the most important tool for human interaction, and voice is one beautiful part of language. With the maturity of modern technology, it has given birth to a great change in the human-computer voice interaction.
1. According to the passage, which helps to turn speech into writing in terms of style?| A．There is careful planning in advance. |
| B．Errors and broken sentences are avoided. |
| C．People type words as fast as they say them. |
| D．The writing contains more prepared phrases. |
| A．processing errors in a column. |
| B．adding minor punctuation marks. |
| C．increasing the number of brief notes. |
| D．integrating short paragraphs in writing. |
| A．human brains are responsible for poor dictated writing. |
| B．writing with voice promises to improve the quality of writing. |
| C．writing is an unnatural act that can hardly be learned and improved. |
| D．technology has a long way to go in the human-computer voice interaction. |
| A．Why people fully intend to turn speech into writing. |
| B．What role voice technology plays in improving readability. |
| C．Where the human-computer voice interaction is at an advantage. |
| D．How voice technology enables the change from speech into writing. |
5 . With the social media freely available, I've realized how easy it is to become a jealous cow. The truth is that however much I remind myself of the many wonderful things I have in my life, there are still moments when I look at those around me and feel bitterly upset by their success.
It's a horrible thing to admit! In an ideal world, I'd never want to be jealous of another person's achievements and I'd want to celebrate the successes of my friends. But sometimes it's hard, even when we want to. But I don't want to live my life as a jealous cow, and I assume you don't either.
It's easier to celebrate other people's wins if you celebrate your own. How often do we take the time to enjoy our success rather than instantly move onto the next thing we want to achieve? Last year, I decided to write a book. It was the only professional goal I set for myself and, while it tired me out, I got there. But as soon as it was done, I started planning my next goal-making the book a success. As I saw other people publishing books, I stopped celebrating and instead began to fear that mine wouldn't compete.
When I told a friend how I was feeling, she reminded me how much easier it is to clap for someone else when we also clap for ourselves. So, I took myself out for lunch, ordered a glass of wine and wrote myself a congratulations card. When I saw all those other books being written on my social media, I felt proud of each and every one of us who had battled to the end of the word count.
The other trick for celebrating other people's success is to realize that there is no limit on success. We can make more, which means that while it might seem as if others have everything and we have nothing, the reality is that life turns quickly and our luck could change at any time. If others have achieved those things, we can too. When we celebrate others, we're acknowledging their achievements but also cheering for ourselves as well as for our hopes and dreams and our belief that we can make them happen. And hopefully, when we do, those people will cheer for us too.
1. What can we infer from Paragraph 1?| A．Social media is the source of the author's jealousy. |
| B．Frequent successes on social media encourage envy. |
| C．It is a pleasure to face others' successes on social media. |
| D．People tend to be crazy about immediate success online. |
| A．Appreciate what's been done. |
| B．Show it off on social media. |
| C．Reflect on gains and losses. |
| D．Waite for others' congratulations. |
| A．pursuing those achievable goals |
| B．devoting yourself to the next goal |
| C．admitting personal incompetence |
| D．changing your attitude to success |
| A．I'm so happy for us! |
| B．What a considerate friend! |
| C．I don't care about it! |
| D．How selfless you can be! |
6 . Lessons in the Lost Art of Listening
When was the last time you listened to someone? And when was the last time someone really listened to you? I once asked people what it meant to be a good listener. The typical response was a blank stare.
Of course, technology plays a role. People find phone calls interrupting them, preferring text or wordless emoji. Besides, schools and colleges rarely offer classes or activities that teach careful listening. You can join clubs to perfect your public speaking, but who attempts to achieve excellence in listening? The loud unpleasant mixture of sounds of modern life also stops us from listening.
Generally, listening goes beyond simply hearing what people say. It also involves paying attention to how they say it and what they do while they are saying it, in what context, and how what they say is related to you. It’s not about merely holding your peace while someone else holds forth. Quite the opposite. A lot of listening has to do with how you respond—the degree to which you facilitate the clear expression of another person’s thoughts and, in the process, have a clear mind of your own.
Good listeners ask good questions. They engage in exploring the topic, not to divert attention. There are curious questions like “Wouldn’t you agree…?” or “Don’t you think…?” These questions have strong tendencies. They will greatly influence the other person to change his or her view. And you’d better stay away from some personal questions like “What do you do for a living?” or “What part of town do you live in?” Just try to find out what excites people. Ask about the last movie they saw or for the story behind a piece of jewelry they’re wearing. Also good are expansive questions, such as, “If you could spend a month, where would you go?” Research indicates that when people who don’t know each other well ask each other this type of question, they feel more connected than if they spend time together achieving a task.
Because our brain can think a lot faster than people can talk, be careful with the tendency to take mental side trips when you are listening. Smart people’s attention is easily taken away by their own runaway thoughts. They may also assume they already know what the other person is going to say.
The reward of good listening will certainly be more interesting conversations. Researchers have found that attentive listeners receive more information from speakers, even when they don’t ask any questions. We are, each of us, the sum of what we attend to in life. The gentle voice of a mother and the criticism of a boss both ultimately form and shape us. And to listen poorly, selectively or not at all limits your understanding of the world and prevents you from becoming the best you can be.
1. One of the factors that influence listening is that ________.| A．our confidence in listening is decreasing | B．our speech creates a lot of noise around us |
| C．listening skills are seldom taught in school | D．texting causes a better effect than phone calls |
| A．Why the art of listening gets lost by itself. | B．Why effective methods are used in listening. |
| C．How people make themselves well understood. | D．How people can reclaim the lost art of listening. |
| A．Avoid being absent-minded. | B．Come up with curious questions. |
| C．Focus on the speaker’s personal information. | D．Try to find common interests with the speaker. |
| A．Listening and speaking deserve equal attention. |
| B．Good listeners maximize the benefits for themselves. |
| C．Bad listening ultimately contributes to people’s failure. |
| D．Listeners’ clear mind facilitates speakers’ expression of thoughts. |
7 . Researchers at CU Boulder have developed a wearable device that changes the human body into a biological battery. The device is stretchy(弹性的) enough that you can wear it like a ring, sport band or any other thing that touches your skin. It also taps into a person's natural heat-employing thermoelectric generators to change the body's internal temperature into electricity. "In the future, we want to be able to power your wearable electronics without having to include a battery," said Jianliang Xiao, an associate professor at CU Boulder.
The concept may sound like something out of The Matrix film series, in which a race of robots have enslaved humans to harvest their precious organic energy. Xiao and his colleagues aren't that ambitious: Their devices can generate about 1 volt (伏特) of energy for every square centimeter of skin space-less volt per area than what most existing batteries provide but still enough to power electronics like watches or fitness trackers.
Scientists have previously experimented with similar wearable devices, but Xiao's is stretchy, can heal itself when damaged and is fully recyclable-making it a cleaner alternative to traditional electronics. "Whenever you use a battery, you're depleting(消耗) that battery and will, eventually, need to replace it," Xiao said. "The nice thing about our device is that you can wear it, and it provides you with constant power."
Just pretend that you're out for a jog. As you exercise, your body heats up, and that heat will radiate out to the cool air around you. Xiao's device captures that flow of energy rather than let it go to waste. "The thermoelectric generators are in close contact with the human body, and they can use the heat that would normally be sent into the environment," Xiao said.
1. What does Xiao expect of his device at present?| A．It will be used for medical purposes. |
| B．It will be made smaller and wearable. |
| C．It will change natural power into electricity. |
| D．It will supply constant power to wearable devices. |
| A．To give an explanation. | B．To make a comparison. |
| C．To introduce a topic. | D．To analyze the cause. |
| A．The strengths of Xiao's device. |
| B．The convenience of using a battery. |
| C．The replacement of wearable devices. |
| D．The development of traditional electronics. |
| A．It operates with plenty of power. |
| B．It is designed for practical use. |
| C．It benefits people's health in a way. |
| D．It's based on traditional electronics. |
8 . Independent living at home is the ideal for every aging person. But a fall or other health-threatening incidents can change everything rapidly.
The wearable “panic buttons” introduced in the late 1980s were a great advance. But they only work if people actually wear them and can reach the button in an emergency. Today there are passive wearables that automatically detect falls, and camera-based systems to monitor elder safety.
Coming from a 40-year career in the semiconductor and wireless communication field, Rafi Zack decided to find a better alternative. “People aren’t devoted to wearing small devices 24/7, and camera-based systems are an invasion（侵犯）of privacy,” he points out, “The most challenging aspect is a fall. How fast we can detect a fall matters because the medical situation worsens quickly. Sometimes people stay on the floor for a long time. We have to find out how to solve that problem.”
Zack is a co-founder, CEO and vice president of R&D at EchoCare Technologies which has developed ECHO (Elderly Care Home Observer), a cloud-connected monitor based on radar technology and machine learning.
Because radar sees through walls, one ECHO unit fixed on the ceiling or wall can monitor one person (or two persons, in a future version) in a standard-sized apartment in a senior living facility. The device detects falls, breathing difficulties, drowning in a bathtub and other dangerous events. It gives out warnings to potential health worsening conditions by continuously monitoring and analyzing the person’s location, posture（姿势）, motion and breath. EchoCare tested the device in the United States, Japan, Australia and Israel. ECHO was certified（认证）in 2019 in Japan with the most aging population in the world.
“Bathrooms were the main testing area where about 17,000 deadly accidents happen annually.” said SMK Director and Executive Vice President Tetsuo Hara. “Bathroom makers, home security service providers and nursing homes are highly interested in EchoCare’s solution.” Zack noted, “As more and more elder people live alone as a result of social distancing, there is an increased need to monitor them without the burden of wearables or privacy-invading cameras.”
1. What’s the advantage of ECHO over “panic buttons”?| A．It has camera-based systems. | B．It has been widely accepted. |
| C．It can function without cameras. | D．Its buttons can be easily reached. |
| A．It is designed to send out warnings regularly. |
| B．It monitors dangerous health-related events. |
| C．It was certified in many developed countries. |
| D．It detects more than one person at the same time. |
| A．It’ll become more popular with the elderly. |
| B．It’ll stop 17,000 deaths happening annually. |
| C．It’ll be used in nursing homes and hospitals. |
| D．It’ll help elderly people to live an active life. |
| A．An Advanced Medical Instrument |
| B．A High-tech Monitor for the Elderly |
| C．The Invention of a Healthcare Device |
| D．The Improvement of a Medical Facility |
9 . Happiness is not a warm phone, according to a new study exploring the link between young life satisfaction and screen time. The study was led by professor of psychology Jean M. Twenge at San Diego State University (SDSU).
To research this link, Twenge, along with colleagues Gabrielle Martin at SDSU and W. Keith Campbell at the University of Georgia, dealt with data from the Monitoring the Future (MtF) study, a nationally representative survey of more than a million U. S. 8th-, 10th-, and 12th-graders. The survey asked students questions about how often they spent time on their Phones, tablets and computers, as well as questions about their face-to-face social interactions and their overall happiness.
On average found that teens who spent more time in front of screen devices — playing computer games, using social media, texting and video chatting — were less happy than those who invested more time in non-screen activities like sports, reading newspapers and magazines, and face-to-face social interactions.
"The key to digital media use and happiness is limited use," Twenge said. "Aim to spend no more than two hours a day on digital media, and try to increase the amount of time you spend seeing friends face-to-face and exercising — two activities reliably linked to greater happiness."
Looking at historical trends from the same age groups since the 1990s, it's easy to find that the increase of screen devices over time happened at the same time as a general drop-off in reported happiness in U. S. teens. Specifically, young peopled life satisfaction and happiness declined sharply after 2012. That's the year when the percentage of Americans who owned a smartphone rose above 50 percent. By far the largest change in teens' lives between 2012 and 2016 was the increase in the amount of time they spent on digital media, and the following decline in in-person social activities and sleep.
1. Which method did Twenge's team use for the study?| A．Calculating students' happiness. |
| B．Asking students certain questions. |
| C．Analyzing data from a survey. |
| D．Doing experiments on screen time. |
| A．By making a comparison. |
| B．By giving an example. |
| C．By making an argument. |
| D．By introducing a concept. |
| A．To draw a conclusion from the study. |
| B．To offer some advice to the readers. |
| C．To prove social activities' importance. |
| D．To support the researchers' finding. |
| A．Quitting Phones Equals Happiness |
| B．Screen Time Should Be Banned |
| C．Teens' Lives Have Changed Sharply |
| D．Screen-addicted Teens Are Unhappier |
10 . JeffBezos has a rule at Amazon, or perhaps more appropriate a philosophy. If a team cannot be fed by two pizzas then that team is too large. The reasoning is quite straightforward and basic. More people means more communication, more bureaucracy, more chaos, and more of pretty much everything that slows things down, hence why large organizations are oftentimes considered as being so inefficient.
In 2013 Gallup released a report called “The State of The American Workplace", in which they found that smaller companies had more engaged employees. In fact,42% of employees working at companies of 10 or fewer were engaged at work versus only 30% of employees at large companies.
Most people are not familiar with the Ringelmann Effect which is the tendency for individual members to become less productive as the size of a group increases. This concept was named after Maximilien Ringelmann, a French professor of agricultural engineering who passed away in 1931.In one of his experiments he asked volunteers to perform a very simple task, to pull on a rope. He found that when only one person is pulling on the rope they give 100% of their effort; however, as more people are added the individual effort goes down.
This experiment was recreated in the 1970's by Alan Ingham who came up with the concept of “social loafing” which helps us understand why the individual effort decreases as the team size increases. So why does this happen? Because it becomes harder to extract the individual contributions and performance of each person.
Organizations should really think about what their team structures look like and create and follow similar “two pizza rules”. It's no coincidence that smaller organizations are oftentimes more nimble while large organizations look like they are stuck in the mud.
1. What is the author's purpose of mentioning “two pizza rules” in paragraph 1?| A．To make a comment. |
| B．To introduce the topic. |
| C．To provide an example. |
| D．To analyze a phenomenon. |
| A．It repeated the Ringelmann Effect experiment. |
| B．It was based on a simple task of pulling a rope. |
| C．It aimed to explore the reason behind the phenomenon. |
| D．It revealed the link between team size and individual effort. |
| A．Balanced. |
| B．Complicated. |
| C．Simple. |
| D．Flexible. |
| A．What Makes a Team More Productive? |
| B．Why Are Smaller Teams Better Than Larger Ones? |
| C．How Can Two Pizzas Be Shared by One Team? |
| D．Which Is More Important: Individual Effort r Team Size? |
