1 . Several years ago I was teaching in Melbourne, Australia. Like most Brits down under, I wanted to
On one trip, I and three friends went as far into the Outback (内陆地区) as it was possible to go, camping and
After picking up some
At first the water only reached the top of the
We made it to the other side with no “salties”
A.run out of | B.take hold of | C.make the most of | D.catch sight of |
A.fields | B.corners | C.villages | D.surroundings |
A.exploring | B.searching | C.swimming | D.climbing |
A.mammals | B.humans | C.plants | D.creatures |
A.water | B.supplies | C.clothes | D.friends |
A.stream | B.lake | C.valley | D.cliff |
A.station | B.channel | C.spot | D.yard |
A.reach out for | B.wait up for | C.turn a deaf ear to | D.keep an eye out for |
A.wheels | B.walls | C.seats | D.legs |
A.easy-going | B.fun-loving | C.suspicious-looking | D.fast-flowing |
A.Interestingly | B.Unbelievably | C.Occasionally | D.Suddenly |
A.curious | B.certain | C.amazed | D.bored |
A.turned out | B.stood out | C.made out | D.found out |
A.cracked | B.extended | C.spilled | D.crashed |
A.lost | B.caught | C.missed | D.sighted |
2 . I dreamed of playing the piano as a kid and managed to get into the Royal Academy of Arts in my 30s, I visited Thailand where I met my wife. My wife works at a sanctuary(保护区) called Elephants World. On my 50th birthday, she persuaded the manager of Elephants World to allow us to bring a piano there to play for the rescued elephants. I wanted to make the effort to carry the heavy piano myself, knowing these animals have worked for humans all their life and that many are disabled from being treated badly. It was challenging. At last, we used a truck to transport my piano and placed it in a field.
Elephants are almost always hungry — if they get the opportunity, they’ll eat and won’t stop. But as soon as I started playing, one elephant, who was blind, stopped eating and listened. I realized that this elephant, trapped in a world of darkness, loved music. From that day, there was no more concern, and that was the beginning of the connection between me and these huge creatures.
I continue to play for these elephants that run freely, though I could be under threat of attack. But I have faith that music somehow makes them quiet and relaxed. Once, a particularly dangerous male elephant walked straight to me when I started playing, and curled (卷) his trunk. He looked like a baby and just stood by the piano, which was incredible.
I’d played pre-recorded music in the jungle, but they didn’t seem to react; the same with the electric piano. A traditional piano, the sounds of which spread across the woods, seems to communicate better with the animals. They can pick up sounds through their feet. I also think elephants understand the human expression, which shows music really is a universal language. And music has become an essential part of their life, illustrating the profound impact that music can have on these creatures.
I never would have thought I’d combine my love for the piano with an unexpected love for elephants.
1. What does the underlined word “It” in paragraph 1 refer to?A.Playing the piano for the elephants. | B.Getting the manager’s permission. |
C.Getting the piano into the sanctuary. | D.Working for human beings for long. |
A.His passion for music. | B.The response of an elephant. |
C.The support from his wife. | D.His sympathy for the elephants. |
A.The music has a calming influence. | B.Male elephants prefer music. |
C.The author is highly skilled in piano. | D.People often misunderstand elephants. |
A.They have special language. | B.They bond with him soon. |
C.They are sensitive to sounds. | D.They can feel live music. |
3 . Chaudhary weaves (编织) together lengths of rope and grass collected from the nearby riverbank in her village, skillfully shaping the materials into a gift box while instructing a group of women to follow suit.
The ropes being used were once the lifeline for mountain climbers tackling Nepal’s mountains and were then cast away. Diverse measures to remove such discarded materials have rocketed since 2019, when the government launched Clean Mountain Campaign.Around 140,000 tons of waste were collected on Mt. Everest alone, which were handled accordingly, either securely buried or recycled.
Some waste is now finding fresh life, transformed by skilled hands like Chaudhary’s into items to sell, thanks to an initiative led by Acharya, an owner of a waste processing business and an advocate for sustainable waste management. She has been working with the cleaning campaign, aiming at mountains like Mt. Everest.
“Metal waste goes through the recycling process, but we weren’t capable of recycling these ropes and cooking gas cans,” Acharya says. It didn’t occur to her that the waste which couldn’t be recycled could be reused until she met Rai at an art exhibition and a solution emerged.
Rai, a businessman dealing in craftworks, helped connect Acharya with Chaudhary and her team of craftswomen in hopes of unlocking the economic value of the mountain waste. With flexible hours, the project gives the craftswomen an opportunity to earn money even as they maintain their household responsibilities.
“While this seems insignificant compared to waste in the mountains, it’s a start. We can’t supply sufficient raw material with waste sorting and cleaning processes taking plenty of time and money,” Acharya says, desperate to expand the program to involve more women and treat more waste. But progress has been slow. “We need investment to mechanize the cleaning and processing of waste in the initial phase to provide the crafting team with enough materials to meet their demand,” she adds.
1. What were the ropes mentioned in paragraph 2 initially intended as?A.Tools for tying up weeds. | B.Villagers’ basic necessities of life. |
C.Raw materials tor unique artworks. | D.Life-saving devices for mountaineers. |
A.A journey to the rural area. | B.An encounter with a trader. |
C.Information from a product launch. | D.Attendance at an academic conference. |
A.Train more senior technicians. | B.Obtain a better reputation. |
C.Drop waste washing procedures. | D.Bring in advanced equipment. |
A.Chaudhary: An Eco-Minded Folk Artist |
B.Nepali Women Are Turning Garbage into Crafts |
C.Clean Mountain Campaign Has Already Taken Effect |
D.A Headache: Mt. Everest Is Heavily Littered with Waste |
4 . Deepfake: synthetic (合成的) media, including images, videos, and audio, is generated by Al technology to show something that does not exist or events that have never occurred.
Examples of deepfakes have been widely spread, including a video of Facebook CEO Mark Zuckerberg giving a speech about his company’s plan, and a video of Elon Musk dancing and talking about the power of dreams, etc.
It’s easy for AI to produce such deepfakes using two different deep-learning algorithms (算法): one that creates the best possible clone based on a real image or video and another that detects whether the copy is fake (伪造的) and, if it is, reports on the differences between it and the original. The first algorithm produces a synthetic image and receives feedback on it from the second algorithm and then adjusts it to make it appear more real; the loop is repeated as many times as it takes until the second algorithm does not detect any false imagery.
Deepfakers often have evil motives, including creating misinformation and generating confusion. They tend to demean, terrify, and annoy, and have targeted not only celebrities but ordinary citizens as well.
Most of the academic research surrounding deepfakes focuses on the detection of huge amount of deepfake videos emerging online. One detection approach is to use algorithms to identify inconsistencies in deepfake videos. For example, an automatic system can examine videos for errors such as irregular blinking patterns of lighting. However, these approaches have been criticized because deepfake detection is characterized by a “moving goal post” where the production of deepfakes is changing and improving while detection tools are always on the way of catching them up.
However, education and medicine are two of the fields that may benefit from deepfake technology. In the classroom, historical speeches could be deepfaked to offer immersive and engaging lessons. In health care, it can improve the accuracy with which tumors (肿瘤) are spotted, making them easier to treat. Its use also permits using synthesized data instead of that from real patients to avoid privacy concerns.
1. How does AI create a deepfake video according to the passage?A.By copying and combining the fake images. |
B.By constantly teaching itself to perfect the output. |
C.By acquiring feedback from multiple sources. |
D.By repeatedly generating realistic images from scratch. |
A.Ever-evolving deepfake techniques. | B.Insufficient academic basis on detection solutions. |
C.A massive number of false videos online. | D.Limited availability of detection tools. |
A.Supportive. | B.Critical. | C.Objective. | D.Unconcerned. |
A.Potential threats: AI’s new playground | B.Deepfake: Human’s another helping hand |
C.Artificial Intelligence: A piece of fake | D.Detecting deepfake: An ongoing battle |
5 . French schools once prized the nutritional value of wine. So commonly was it served to children that in 1956 the government banned wine in school canteens—and even then, only for the under-14s. France was the world’s biggest wine producer last year. A bottle of wine has long been to the French meal what fast driving is to the German motorway: an ordinary habit, national right and personal pleasure.
No longer. In 2022 roughly 10% of French people drank wine every day, down from half in 1980. Back in 1960 the French drank an average of 116 liters of everyday wine per person. Between 2000 and 2018 that shrank from 28 liters to just 17. A glass of wine is an increasingly rare sight at the lunch table.
What is going on? It is not simply price. A bottle of Bordeaux can still be found in a French supermarket for under €3. Some village co-operatives sell local produce straight from the vat for €l.90 a liter—less than fresh orange juice. A better explanation is that a beer-drinking trend is challenging Mediterranean habits. The French now tell polls that they prefer beer to wine. Beer accounts for more than half of all alcohol bought in French supermarkets. Even in southern France, some cafes serve imported Belgian or German beer on tap.
Most important, a health-conscious younger generation is drinking less. A quarter of French 18- to 34-year-olds say they never drink alcohol. Fully 39% of under-35s say that they do not drink wine, next to only 27% of the over-50s. Le dry January has entered the national vocabulary. No- and low-alcohol drinks are spreading. A younger generation is rejecting old Mediterranean habits. In an attempt to “speak to Generation Z by adopting its codes”, Pernod Ricard, a drinks giant, runs a marketing campaign with the slogan “Drink more…water”.
Of course, consumption of high-quality wine remains strong. But the decline of cheaper stuff has wider consequences for France. Last summer the government allowed €200m to buy surplus low-end wine that producers could not sell. In some areas, farmers are tearing off lesser vines (葡萄藤) altogether. Less alcohol may improve health, but not necessarily the mood or landscapes of rural France.
1. What can we learn from the first paragraph?A.Serving wine to French children has been banned. |
B.Drinking wine is as dangerous a habit as fast driving. |
C.Wine consumption has long been a practice in France. |
D.Nutritional value of wine is widely recognized in France. |
A.Health concern. | B.Challenge from beer. |
C.Economic decline. | D.Shortage of wine supply. |
A.A season of poor grape harvest. |
B.A period when the weather is dry. |
C.An organization advocating drinking water. |
D.A campaign calling for less wine consumption. |
A.Consumption of low-quality wine remains unchanged. |
B.Production of high-end wine is lower than that of low-end wine. |
C.Farmers who produce more wine are awarded by the government. |
D.Not all French people benefit from the decline of wine consumption. |
6 . The innovation is part of research into brain-computer interfaces (接口) to help improve the lives of people with motor disabilities. The researchers included machine learning capabilities with their brain-computer interface, making it a one-size-fits-all solution.
Typically, these devices require extensive adjustment for each user- every brain is different, both for healthy and disabled users- and that has been a major hurdle to mainstream adoption. This new solution can quickly understand the needs of an individual subject and self-adjust through repetition. That means multiple patients could use the device without needing to tune it to the individual.
In a clinical setting, the subjects wear a cap packed with electrodes (电极) that is connected to a computer. The electrodes gather data by measuring electrical signals from the brain, and the decoder translates the brain signals into commands, which are used to control devices or applications. In this case, the decoded signals are translated into actions in a car racing game and a simpler task involving balancing a digital bar. Subjects were trained simultaneously for both the simpler bar game and the more complex car racing game, thus improving their brain function.
The researchers call this work foundational, in that it sets the stage for further brain-computer interface innovation. This project used 18 subjects with no motor disabilities. As they continue down this road, they will test this on people with motor disabilities to apply it to larger groups in clinical settings. “To achieve this, we need to improve our technology to make it easier to use,’ Millan. a professor in the University of Texas says.
On the side of translating the research, Millan and his team continue to work on a wheelchair that users can drive with the brain- computer interface. At the South by Southwest Conference and Festivals this month, the researchers showed off another potential use of the technology. controlling two rehabilitation (康复) robots for the hand and arm. This was not part of the new paper but a sign of where this technology could go in the future. “We’ll continue down this path wherever it takes us in the pursuit of helping people.” Millan says.
1. Who will benefit the most from the Brain-Computer Interface innovation?A.People with physical disabilities. | B.Businessmen selling wheelchairs. |
C.Students seeking academic improvement. | D.Athletes seeking performance enhancement. |
A.Faster adjustment process. | B.Decreased need for tuning. |
C.Improved mainstream adoption. | D.Quick understanding of commands. |
A.Translating signals. | B.Measuring brain signals. |
C.Controlling devices. | D.Enhancing brain function. |
A.Exploring hand and arm rehabilitation. |
B.Showcasing technology at conferences. |
C.Translating and publishing research papers. |
D.Enhancing brain- computer interface technology. |
1. Why did Mr. Day look at the blanket for a long time but go away?
A.He didn’t like its color. |
B.The blanket was too big for him to take home. |
C.He wanted to get the blanket but could not decide on it. |
A.Mr. Day didn’t get the blanket. |
B.The seller sold the blanket at a lower price. |
C.The seller sent the blanket to Mr. Day’s home. |
A.The seller was clever, but Mr. Day was foolish. |
B.The seller wasn’t honest and Mr. Day was humorous. |
C.The seller didn’t want to sell the blanket to Mr. Day. |
A.At the supermarket. | B.On Harris Street. | C.At the traffic light. |
A.Pleased. | B.Unconfident. | C.Angry. |
A.Gifts for Jason. | B.A baseball game. | C.The woman’s promotion. |