1 . Regardless of how famous they are, and despite the star treatment they receive, many celebrities make it a point to give back to charities. Some have even set up their own private foundations. Their widely publicised visits to troubled areas of the world help to raise awareness of issues such as famine and poverty. According to Jane Cooper of Unicef UK, celebrities have a unique ability to reach huge numbers of people, many of whom might not otherwise be engaged in charitable causes. She pointed out that famous faces had played a significant role in raising funds in recent years, and their energies had produced tangible results, such as enabling millions of children in poorer countries to attend school.
But in spite of these successes there is evidence to suggest that celebrity endorsement (代言) may be overrated. In a survey of members of the public to find out if celebrity involvement would encourage people to donate, researchers found that the impact was not as great as previously thought. When shown a list of well-known organisations and famous people who represent them, over half of respondents were unable to match the celebrity with the cause. What’s more, three quarters claimed that they didn’t respond to celebrity endorsement in any way. The survey also showed that a few names did stand out as being associated with particular charities. But the presence of a celebrity in a campaign, was not a significant factor when it came to a decision to donate time or money. Instead, the majority of people contribute because of personal connections in their lives and families which make a charity important to them.
In another study aimed at young people, most participants cited a compelling (无法抗拒的) mission as their main motivation to give. The second most important incentive was if a friend or peer recommended supporting a particular cause. Only two percent of respondents said they were motivated by celebrity endorsement. This seems to contradict the general assumption that teenagers are particularly influenced by famous people. One possible explanation is that there is a general fatigue (疲倦) with celebrity culture. There is also a suspicion that the stars are the one who benefit most when they offer to do charity work. Some critics have accused that celebrities might actually take attention away from issues by attracting more attention than the causes they represent.
So taking all these issues into account, is it time for charities to rethink their campaign strategies and look for alternative ways to reach new audiences? Whichever point of view you favour, there seems to be opportunities for more research into how charity campaigns might develop relationships with celebrities to maximise their potential. This in turn will open up more engagement, and better targeted campaigns-which can only benefit those who really matter — the people and animals that are in need of assistance.
1. What does the underlined word “tangible” in paragraph I probably mean?| A．Definite. | B．Complicated. | C．Limited. | D．Temporary. |
| A．they gain benefit from the charities |
| B．they are forced to finish a necessary task |
| C．they believe in the famous people they like |
| D．they are inspired by the people around them |
| A．what celebrities achieve in doing charities |
| B．How young people react to celebrity culture |
| C．why young people are hardly influenced by celebrities |
| D．who is to blame for taking attention away from charities |
| A．Objective. | B．Positive. |
| C．Negative. | D．Unclear. |
2 . Sora observed in amazement as Weilun picked up two large metal cans. She followed Weilun with a pail (桶) of clothes, watching him carry the two cans effortlessly. They were large and were covering Weilun’s small frame.
Sora’s father had sent her to the village to learn about rural life. Sora had never once done any household chores back home. She did not understand why her father would always chant “Where is your willingness to learn?” whenever she asked him if she could stay home for the holidays. Her father had given her a checklist on the life skills that she needed to learn, one of which was to wash clothes. She recalled washing a table cloth after an art lesson in school. That was a piece of cake, she thought. So Sora refused Weilun’s offer to help. Weilun then went to fill the large cans with water at the far end of the river.
Suddenly, a big bird dived from the sky when Sora placed the last piece of clothing back in the pail. Sora released her grasp of the pail in shock. Then she was relaxed to find it was aiming for a worm near her. But the clothes were drifting in the river. Weilun immediately came to help and Sora shifted the blame to the bird.
He pointed at the detergent foam (洗涤剂泡沫) on the surface of the river. “Don’t tell me you rinsed (漂洗) the detergent from the clothes in the river. Don’t you know that it may kill the river creatures? You caused the problem, not the bird!” Sora looked down in shame. “You think that you know everything, but you actually don’t.”
Sora closed her eyes to let Weilun’s words sink in for a moment. She finally understood the meaning behind her father’s chants. She walked towards Weilun and whispered, “Could you teach me all the life skills that my father had planned for me to learn?”
1. Why was Sora amazed?| A．Weilun was too small in size for the two large cans. |
| B．Weilun was willing to help his parents do some chores. |
| C．Weilun managed to carry the two large cans easily. |
| D．Weilun was willing to accompany her to the riverside. |
| A．She thought it was an easy task. |
| B．She had learned how to do it. |
| C．She wanted her father to be proud of her. |
| D．She wanted to learn new things by herself. |
| A．The bird was diving for food. |
| B．The bird was attacking her. |
| C．Sora was rinsing the detergent in the pail. |
| D．Sora was shocked to find a worm in the pail. |
| A．She wasn’t capable of living on her own. |
| B．She really lacked the willingness to learn. |
| C．Life skills could be learned in the country. |
| D．Her father wanted her to learn from Weilun. |
3 . 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 |
4 . A young woman was walking in Santa Ana, California, when she came upon an elderly street vendor (小贩) selling tamales (玉米粉蒸肉). Seeing how tired he looked in his wheelchair, she decided to give him a few bucks and a sandwich—and she also gave him a sympathetic ear to listen to his story.
When Kenia Barragan first saw Jose Villa Ochoa, she thought of her own parents. “I felt for him,” she told KTTV News, “My parents are both older, and I would hate to see my dad out selling tamales for somebody and barely making ends meet.”
Known as “Don Joel”, he explained that although he wanted a job, no company would hire him because of his age. In order to keep himself out of debt, he started to sell tamales cooked by a local woman. At the end of each hard day, she would give him a cut of the earnings. This allowed him to buy food, but was not enough for him to afford his medical treatment or a phone.
The 28-year-old woman was happy to listen to Don Joel’s story, but she wanted to do more. She made an appeal to her followers on Instagram for some assistance. Within a week, friends and strangers flooded her with more than $84 000 in donations.
In addition to the money raised for Don Joel’s retirement, Kenia purchased him a new wheelchair and a shiny new pair of shoes. Even though he’s 94, he says he feels like he’s 40 now, because the kindness has made him feel so alive. He describes the generosity as “life-changing”.
Kenia feels exactly the same way. She says she’s always looking for a purpose that helps people and that she’s been living in line with those values in her current job, working with people who have disabilities to get them transportation. Her goal in life is to establish a homeless shelter.
1. Why did Don Joel sell tamales?| A．To buy a new wheelchair. | B．To struggle for a living. |
| C．To pay off his medical debt. | D．To help a local woman. |
| A．By establishing a homeless shelter. | B．By giving him money and sandwiches. |
| C．By collecting donations on Instagram. | D．By listening to his story attentively. |
| A．She disliked her father because of his job. |
| B．She is a wealthy woman ready to help others. |
| C．She helped Don Joel when she was 40 years old. |
| D．She is a kind woman aiming to do more charity. |
| A．Rose given, fragrant in hand. | B．The best hearts are always the bravest. |
| C．No pain, no gain. | D．Sharp tools make good work. |
5 . The first wave of a new class of anti-aging drugs have begun human testing. These drugs won't let you live longer but aim to treat specific illnesses by slowing a fundamental process of aging.
The drugs are called senolytics—they work by removing certain cells that accumulate as we age. Known as “senescent” cells, they can create low-level inflammation (炎症) that prevents normal systems of living cells repair and creates a poisonous environment for neighboring cells.
In June, San Francisco - based Unity Biotechnology reported initial results in patients with mild to severe osteoarthritis (关节炎) of the knee. Results from a larger clinical trial are expected in the second half of this year. The company is also developing similar drugs to treat age-related diseases of the eyes and lungs, among other conditions.
Senolytics are now in human tests, along with a number of other promising approaches targeting the biological processes that lie at the root of aging and various diseases.
A company called Alkahest injects patients with components found in young people's blood and says it hopes to stop conscious and functional decline in patients suffering from mild to moderate Alzheimer's disease. The company also has drugs for Parkinson's and dementia in human testing.
And in December, researchers at Drexel University College of Medicine even tried to see if a cream including the immune-suppressing drug could slow aging in human skin.
The tests reflect researchers' expanding efforts to learn if the many diseases associated with getting older- such as heart diseases, arthritis, cancer, and dementia- can be dealt with to delay their outbreak.
1. Why do the researchers develop the drugs?| A．To rid inflammation. | B．To lengthen people's life. |
| C．To treat age-related diseases. | D．To remove cancer cells. |
| A．Repairing. | B．Cycling. | C．Aging. | D．Dividing. |
| A．By listing data. | B．By providing details. |
| C．By making comparisons. | D．By analyzing causes. |
| A．A diary. | B．A guidebook. | C．A novel. | D．A magazine. |
6 . During the COVID-19 pandemic, Julia began her second year as a first grade teacher in an online classroom. One September afternoon, she received a call from and Cynthia, who was having technical difficulties with her granddaughter's tools for online learning.
Julia immediately knew something was wrong with Cynthia. The two women had spoken many times before, but Julia had never heard she sounded like this. Her words were so jumbled that Julia could barely understand her. Julia called her headmaster, Charlie, who convinced her that he would call and check on Cynthia himself.
Just like Julia, Charlie could barely understand Cynthia. He suspected she might be having a stroke (中风) — he recognized the signs from when his own father had suffered one. Charlie immediately became concerned that Cynthia's two grandchildren, ages six and eight, were probably home alone with her and scared. Charlie asked his office manager to send an ambulance to the grandmother's home.
The quick response from Julia and Charlie saved Cynthia's life. She arrived at the hospital in time to get treatment before long-term damage occurred. Thanks to an extended stay in the hospital, she has regained most of the movement throughout her body except for one hand and a region of her mouth.
“I'm proud of the people I work with, that they responded so quickly and that it did make a difference to Cynthia,” says Julia. “I am so pleased to be part of such a caring community.” But the school's crisis response is only one piece of the community's extraordinary efforts to help Cynthia and her granddaughters. Another family with young children took in the two girls.
Virtual learning has been a challenge across the country, but it's fair to say that it has helped the community grow closer. Many teachers there gave their personal phone numbers to students and families in case they needed extra help. In this case, the exchange was literally life-altering.
1. Cynthia called Julia in order to .| A．complain about the poor contents of online learning |
| B．consult about her granddaughter's academic performance |
| C．seek some help for lack of certain technical knowledge |
| D．volunteer her services as a teacher in an online classroom |
| A．brief |
| B．unclear |
| C．gentle |
| D．impolite |
| A．By recalling his own previous sufferings from the disease. |
| B．By using his professional knowledge to form the judgment. |
| C．By combining Julia's call with the granddaughters' description. |
| D．By identifying the symptoms that a stroke patient may have. |
| A．It has caused much inconvenience to parents. |
| B．It will bring about unavoidable leak of privacy. |
| C．It has provided more benefits than challenges. |
| D．It needs technical guidance to be highly effective. |
7 . After beating bone cancer, Hayley Arceneaux thinks rocketing into orbit on SpaceX’s first private flight should be no problem at all. St. Jude Children’s Research Hospital announced the 29-year-old doctor’s assistant will rocket into space later this year.
Arceneaux, a former patient at St. Jude, will become the youngest American in space, beating NASA record-holder Sally Ride by over two years. She will travel with businessman Jared Isaacman, who is using the spaceflight he bought to raise money for charity. Two other yet-to-be-chosen space flyers will join them. Arceneaux will be the first person to launch with a prosthesis an artificial device that replaces a missing or injured part of the body. When she was 10, Arceneaux had an operation at St. Jude to replace her knee and a piece of metal was put in her left leg. She still limps and has occasional leg pain.
“My battle with cancer really prepared me for space travel,” she recently told The Associated Press. “It made me tough, and then also I think it really taught me to expect the unexpected and go along for the ride.” Arceneaux wants to show her young patients and other cancer survivors that “the sky is not even the limit anymore.” “It’s going to mean so much to these kids to see a survivor in space.” she said.
Isaacman announced his space flight on February 1, promising to raise $200 million for St. Jude. As the flight’s self-appointed commander, he offered one of the four seats aboard SpaceX’s Dragon spacecraft to St. Jude. The hospital chose Arceneaux from among its many workers who had once been patients. The idea was that one of them could represent the new generation, noted Rick Shadyac, president of St. Jude’s financing organization.
Arceneaux was at home in Memphis, Tennessee, when she got a surprising call in January. She was asked if she would represent St. Jude in space. As a lifelong space fan who loves adventures, Arceneaux has traveled widely and loves roller coasters. Isaacman, who flies fighter airplanes for fun, considers her a perfect fit. The launch is planned for this fall at NASA’s Kennedy Space Center, with the spacecraft orbiting Earth for two to four days.
1. Which statement is true about Hayley Arceneaux?| A．She works where she used to be a patient. |
| B．She is an adventure hater. |
| C．She is the youngest American in space. |
| D．She is the first woman space flyer. |
a. She received a surprising call. b. She was diagnosed with a serious disease.
c. She was chosen to rocket into space. d. She was operated on at St.Jude.
| A．a c d b | B．b c d a | C．b d a c | D．c a b d |
| A．To carry out medical research. |
| B．To explore space. |
| C．To expect the unexpected. |
| D．To collect money. |
| A．Generous and strong. |
| B．Caring and optimistic. |
| C．Brave and honest. |
| D．Patient and representative. |
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9 . It’s common knowledge that the woman in Leonardo da Vinci’s most famous painting seems to look back at viewers, following them with her eyes no matter where they are in the room. But this common knowledge turns out wrong.
A new study finds that the woman in the painting is actually looking out at an angle of 15.4° off to the viewer’s right — well outside the range that people normally believe when they think someone is looking right at them. In other words, said the study author, Horstmann, “She’s not looking at you.”
This is ironic (讽刺), because the entire phenomenon of a person’s gaze (凝视) in a photograph or painting seeming to follow the viewer is called the “Mona Lisa effect”, which is absolutely real. If a person is illustrated or photographed looking straight ahead, even people viewing the portrait from an angle will feel they are being looked at. As long as the angle of the person’s gaze is no more than about 5 degrees off to either side, the Mona Lisa effect occurs.
Horstmann and his co-author were studying this effect for its application in the creation of artificial-intelligence avatars (虚拟头像) when Horstmann took a long look at the “Mona Lisa” and realized she wasn’t looking at him.
To make sure it wasn’t just him, the researchers gathered 24 people to view images of the “Mona Lisa” on a computer screen. They set a ruler between the viewer and the screen and asked the participants to note which number on the ruler intersected (相交) Mona Lisa’s gaze. To calculate the angle of Mona Lisa’s gaze as she looked at the viewer, they moved the ruler farther from or closer to the screen during the study. Consistently, the researchers found, participants judged that the woman in the “Mona Lisa” portrait was not looking straight at them, but slightly off to their right.
So why do people repeat the belief that her eyes seem to follow the viewer? Horstmann isn’t sure. It’s possible, he said, that people have the desire to be looked at, so they think the woman is looking straight at them. Or maybe the people who first coined the term “Mona Lisa effect” just thought it was a cool name.
1. It is generally believed that the woman in the painting “Mona Lisa” ________.| A．attracts the viewers to look back |
| B．seems mysterious because of her eyes |
| C．fixes her eyes on the back of the viewers |
| D．looks at observers wherever they stand |
| A．The Mona Lisa effect does not really exist. |
| B．The mystery of the woman’s smile in the painting. |
| C．The angle of the gaze in Mona Lisa effect. |
| D．Mona Lisa effect does not occur with Mona Lisa. |
| A．confirm Horstmann’s belief |
| B．create artificial-intelligence avatars |
| C．calculate the angle of Mona Lisa’s gaze |
| D．show how the Mona Lisa effect can be applied |
| A．Horstmann thinks it cool to coin the term “Mona Lisa effect”. |
| B．The Mona Lisa effect contributes to the creation of artificial intelligence. |
| C．Feeling being gazed at by Mona Lisa may be caused by the desire for attention. |
| D．The position of the ruler in the experiment will influence the viewers’ judgement. |
10 . Soft robots, which can move around the ocean without harming sea life, are ideal for underwater exploration. However, they are not so welcome in robot market because they are extremely slow and have a hard time operating through the water. But that may change soon thanks to a self-driven soft robot created by researchers at the University of California, San Diego.
The recently-developed robot, which resembles a paper lantern, was primarily built using soft materials. Its flexible ribs are attached to a circular plate at both ends. An adjustable nozzle (喷嘴) fitted on one side helps draw in and jet (射出) water each time the robot shrinks. The resulting jets of water enable it to swim forward, similar to a squid (乌贼). A plate holds a waterproof component that can house a camera to record data, which is of great value to further development of the robot. It also has its own power source, allowing it to float autonomously for long periods of time.
“Essentially, we recreated all the key features that squids use for high-speed swimming. This is the first robot that can achieve these jets of water by changing its body shape, which improves swimming efficiency,” said Professor Michael T. Though the squid robot has not been tested in open waters, it successfully swam around coral and fish in a large tank in the UC San Diego Birch Aquarium. What’s more, the robot clocked an impressive speed of 18 to 32 centimeters per second, or about half a mile per hour. Though nowhere close to real squids, it is faster than most other soft robots.
“After we were able to improve the design of the robot so that it would swim in a tank in the lab, it was especially exciting to see that the robot was able to successfully swim in a large tank among coral and fish, showing its possibility for real-world applications,” said Caleb Christianson, who led the study as part of his Ph. D paper.
1. Why were the previous soft robots seldom used?| A．Their application places are limited. |
| B．They do great damage to sea life. |
| C．They are very difficult to control. |
| D．Their advertising effect is hot good. |
| A．Their body material. | B．Their general speed. |
| C．Their power source. | D．Their swimming pattern. |
| A．It is the first robot that can transform. |
| B．It will function well in open waters. |
| C．It has every feature that a squid has. |
| D．It can defeat most other soft robots in speed. |
| A．Positive. | B．Critical. | C．Uncaring. | D．Doubtful. |
