1 . If you search the internet these days, you’ll likely run across some strange-looking, yet cheerful cartoon characters. These computer-generated people have small heads and exaggerated bodies.
In 2017 Facebook paid a design team to develop a positive illustration system.
Why did Alegria art become popular so quickly? There are many reasons. As websites depended on illustrations to fill space, Alegria-type art became increasingly useful.
For many, however, Alegria is a nice visual language that represents happiness. From children hugging to couples dancing, the images are all about positive energy.
| A．The style is flat, simple and easy to create. |
| B．For some consumers, though, that’s a problem. |
| C．One of the designers took that message to heart. |
| D．For the netizens, Alegria helps build trust on the big companies. |
| E．No wonder Alegria is now the most popular style of illustrations for books. |
| F．All in all, it seems that Alegria is the perfect name for this playful, fun art style. |
| G．They’re created in bold colors with arms and legs that resemble giant wet noodles. |
Every week I save all the change and $1 bills I have in my purse. Then every Christmas I cash it in for as many $100 bills as the saved money gets me. I then wait for a family in need. I split the money in half and give half to the family in need and the other half to my nine-year-old son, Say’ Veon, who puts it in his savings account, to teach him about delayed satisfaction. Then he helps me get gifts or give the money to the family.
I adopted Say’ Veon after his mother, a close friend of mine, passed away from cancer before his fifth birthday. Even though Say’ Veon has dealt with great loss and sadness at such a young age, his generous spirit and loving heart shine through. He has given money to someone else who needs it more, such as his friends or classmates. Say’ Veon’s acts of kindness always blow me away and I feel blessed to have him in my life.
This week I got a call from a friend, DeeDee, who is 77 years old. She was upset because she had been cheated, and the cheaters took all the money out of her checking account which she lives on, and now she didn’t have the money to pay her rent and bills.
This morning, I took the money and showed Say’ Veon how much I saved this year. I told him what happened to DeeDee, and then asked him if he would be willing to give his half along with my half and donate it to her as our person in need this year.
He said, “Yes, of course.” This year our total was $400.
We went to visit DeeDee and my son handed her a Christmas card with the money. She opened it and said, “Thank you.” She then looked again and stared at the $100 bills.
注意：1. 续写词数应为150个左右；2. 请按如下格式在答题卡的相应位置作答。
DeeDee froze there with her eyes wide open.
___________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________Suddenly, Say’ Veon said to DeeDee, “You are our family!”
___________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________3 . Students’ Journey to Empower Rural Heritage
From Aug 18 to 22 a team of 15 Tsinghua University students, representing diverse backgrounds from China, South Korea, Malaysia, and Indonesia, set foot on an overseas research exploration focusing on rural revitalization (振兴) in Indonesian villages, particularly within Nusa Tenggara Barat (NTB).
With the diverse cultural heritage, Indonesia is home to over 83,000 villages, each radiating its own charm and character.
The research mission took the students to Sukarara and Sade villages, two of NTB’s tourist destinations.
| A．In Sukarara, a local tradition requires girls master weaving skills before marriage |
| B．They decided to be a bridge between tradition and progress, united for their growth |
| C．Both were selected for revitalization efforts led by the Village Revitalization Team |
| D．While these villages possess undeniable fascination, many remain underdeveloped |
| E．It’s about preserving the cultural heritage and ensuring traditions being passed down |
| F．As the journey came to an end, all the students regarded it as a rewarding experience |
| G．This effort includes the knowledge exchange between the students and local villagers |
4 . An era in which an Alzheimer’s (阿尔兹海默) diagnosis can begin in a doctor’s office is now arriving. Advances in technologies to detect early signs of disease from a blood sample are helping doctors to identify the memory-robbing disorder more accurately and to screen participants more quickly for trials of potential treatments for the more than five million people in the U.S. afflicted with Alzheimer’s. Estimates predict that, by 2030, there will be 76 million people worldwide who will receive a diagnosis of Alzheimer’s or other dementias.
Last fall, a blood test developed by C2N Diagnostics in St Louis, Mo., became available to most of the U.S. as a routine lab test—regulated under the CMS Clinical Laboratory Improvement Amendments (CLIA) program. It has also received a CE mark as a diagnostic medical device in the European Union—indicating it has met safety, health and environmental protection standards for the region.
“The development of a blood-based test for Alzheimer’s disease is just phenomenal,” says Michelle Mielke, a neuroscientist and epidemiologist at the Mayo Clinic. “The field has been thinking about this for a very long time. It’s really been in the last couple of years that the possibility has come to fruition.”
The C2N test, called PrecivityAD, uses an analytic technique known as mass spectrometry (质谱分析技术) to detect specific types of beta-amyloid (β-淀粉样蛋白), a protein fragment that is a pathological (病态的) hallmark of disease. Beta-amyloid proteins accumulate and form plaques (斑块) visible on brain scans two decades before a patient notices memory problems. As plaques build up in the brain, levels of beta-amyloid decline in the surrounding fluid.
Such changes can be measured in spinal (脊髓的) fluid samples—and now in blood, where beta-amyloid concentrations are significantly lower. PrecivityAD is the first blood test for Alzheimer’s to be cleared for widespread use and one of a new generation of such assays that could enable early detection of the leading neurodegenerative disease—perhaps decades before the onset of the first symptoms.
1. According to the blood test developed by C2N Diagnostics, we can know that ________.| A．it can be applied in a few areas in the United States |
| B．it was carried out under the supervision of under the CMS’s program |
| C．it obtained the CE mark issued by the United States for diagnostic medical equipment |
| D．it has reached the safety, health and environmental protection standards of the world |
| A．Supportive. | B．Opposed. | C．Cautious. | D．Wait-and-see. |
| A．samples | B．experiments | C．changes | D．symptoms |
| A．by 2030, more people around the world will suffer from Alzheimer’s disease or other dementia |
| B．as plaques accumulate in the brain, the level of beta-amyloid protein in the surrounding fluid will rise |
| C．Alzheimer’s patients are expected to be diagnosed decades before the initial symptoms appear |
| D．many blood tests for Alzheimer’s disease are under development now |
5 . Nowadays, the world is slowly becoming a high-tech society and we are now surrounded by technology. Facebook and Twitter are innovative tools; text messaging is still a somewhat existing phenomenon and even e-mail is only a flashing spot on the screen when compared with our long history of snail mail. Now we adopt these tools to the point of essentialness, and only rarely consider how we are more fundamentally affected by them.
Social media, texting and e-mail all make it much easier to communicate, gather and pass information. But they also present some dangers. By removing any real human engagement, they enable us to develop our abnormal self-love without the risk of disapproval or criticism theatrical metaphor (隐喻), these new forms of communication provide a stage on which we create our own characters, hidden behind a fourth wall of tweets, status updates and texts. This unreal state of unconcern can become addictive as we separate ourselves a safe distance from the cruelty of our fleshly lives, where we are imperfect, powerless and insignificant. In essence, we have been provided not only the means to be more free, but also to become new, to create and protect a more perfect self to the world. As we become more reliant on these tools, they become more a part of our daily routine and so we become more restricted in this fantasy.
So it is that we live in a cold era, where names and faces represent two different levels of closeness, where working relationships occur only through the magic of email and where love can start or end by text message. An environment such as this reduces interpersonal relationships to mere digital exchanges.
Would a celebrity have been so daring to do something dishonorable if he had had to do it in person? Doubtful. It seems he might have been lost in a fantasy world that ultimately convinced himself into believing the digital self could obey different rules and regulations, as if he could continually push the limits of what’s acceptable without facing the consequences of “real life.”
1. The author compares e-mail with snail mail to show ________.| A．the influence of high-tech on our life | B．the history of different types of mails |
| C．the value of traditional communications | D．the rapid development of social media |
| A．Destroying our life totally. | B．Posing more dangers than good. |
| C．Helping us to hide our faults. | D．Replacing traditional letters. |
| A．Sheltering us from virtual life. | B．Removing face-to-face interaction. |
| C．Leading to false mental perception. | D．Making us rely more on hi-tech media. |
| A．Technologies have changed our relationships. |
| B．The digital world is a recipe for pushing limits. |
| C．Love can be better conveyed by text message. |
| D．The digital self need not take responsibility. |
6 . In America, the “Big Dig”, a highway project that resulted in a mess of traffic in the centre of Boston for years, came in five times over its initial budget. Even the Germans get huge projects wrong. Conception to operation of Berlin Brandenburg Airport has taken 30 years, with seven missed opening dates. The airport ended up costing $8.2 billion. However, the original estimate was about $2.7 billion.
Huge projects like Berlin Brandenburg Airport are the subject of an amusing new book called How Big Things Get Done by Bent Flyvbjerg and Dan Gardner. Mr. Flyvbjerg sets up a database of over 16, 000 projects and data analysis reveals that only 8.5% of the projects meet their initial estimates on cost and time, and 0.5% of them achieve what they set out to do on cost, time and benefits.
Over-optimistic time and cost estimates originate from both psychological and political perceptions: the reliance on intuition (直觉) rather than data, and a problem that Mr. Flyvbjerg calls “strategic misrepresentation”. This is when budgets are intentionally reduced in order to get things going. And once the projects are under way, they will not be stopped, because money spent on them will thus be wasted.
Mr. Flyvbjerg speaks highly of Pixar’s methodical approach to developing and testing films in great detail before they go into production. He also tells the story of how Frank Gehry’s well-developed architectural models helped ensure the success of the Guggenheim Museum in Bilbao. Narrowing down the producing window of a project before it is actually carried out reduces the probability of unexpected events.
Big customized projects are particularly likely to run into trouble. However, the more a project can be divided into standardized processes, the better its prospects are. Projects run into problems for specific reasons as well as general ones: Britain’s trouble is not something that China has to worry about, for instance. But the iron law is that if you plan strictly and standardize where possible, you are less likely to dig yourself into a hole.
1. How does the author introduce the topic of the passage?| A．By making a contrast. | B．By giving an explanation. |
| C．By presenting examples. | D．By showing an experience. |
| A．Projects’ success rates can be estimated. |
| B．Projects’ desired outcome can’t be achieved. |
| C．Most projects suffer overspending and delays. |
| D．Most projects lack comprehensive data analysis. |
| A．Failures in decision-making. | B．Methods of reducing massive costs. |
| C．Strategies for getting work done. | D．Reasons behind inaccurate estimates. |
| A．Planning thoroughly in advance. |
| B．Analyzing specific and general reasons. |
| C．Focusing on efficiency of projects. |
| D．Drawing lessons from former experiences. |
7 . If you look at the dynamic “Global Temperatures” map on NASA’s website, you can see the historic temperature change over time across the planet as the timeline goes from 1880 to the modern day. By 2019, the entire planet is in red, orange, and yellow colors, indicating temperatures much higher than the historical average in every country and human inhabitance.
If the timeline went to 2023, the map would look even worse. That’s because the summer of 2023 was the hottest ever, according to ocean monitors. July was the hottest month in recorded history. Next July could be worse. Unless we do something quickly, we face dealing with more and more dangerous and expensive natural disasters in the future.
Forest fires sent smoke from Canada across the North American continent, causing New York City to have the worst air quality in its recorded history. Heavy rainstorms fell on Vermont and the Northeastern United States in just a couple of days in the middle of July, which exceeded the amount that area would usually receive in two months and caused extreme damage to homes and businesses. Around the same time, flash flooding in Bucks County, Pennsylvania — north of Philadelphia — killed nearly a dozen people.
Erich Fischer, a researcher specializing in climate studies at the Swiss Federal Institute of Technology, is concerned that natural disasters could get much worse in the future—and in ways we cannot predict. He called for a “strike for climate justice,” which actually took place on Sept. 15, 2023. “The strategy needs to be twofold (双重的) . We need to decrease carbon emissions as much as realistically possible. That is already happening with people using electric cars and other green technologies. At the same time, we also need to find ways to predict the risk of natural disasters ahead of time,” said Erich Fischer.
1. Why does the writer mention the data on NASA’s website in paragraph 1?| A．To explain a concept. | B．To introduce a topic. |
| C．To provide a solution. | D．To make a prediction. |
| A．The severity of natural disasters. | B．The worst air quality in New York City. |
| C．The extreme damage by flash flooding. | D．The cause of the forests fires in Canada. |
| A．He advocated a twofold strategy. |
| B．He suggested forbidding carbon emissions. |
| C．He required people to use more electric cars. |
| D．He emphasized the awareness of climate changes. |
| A．The Hottest Month in History | B．Natural Disasters in the World |
| C．Extreme Weather Could Get Worse | D．Green Technology Would be Needed |
It is a hot sunny Saturday morning on the farm. Maya, Duksie and Doobie are helping Mama K in her vegetable garden. The children work all morning.
Mama K always gives the children a treat for helping her. Sometimes it’s cake or chocolate; sometimes it’s apples, pears or oranges. Mama K has only one rule. “Share it fair!” The children know they must share the treats equally, so they all get the same amount.
Today Mama K has baked a round strawberry cake with pink icing (糖霜) and berries from her garden. The children wait on the grass for their treat. “Here you go!” smiles Mama K. “But remember the rule. Share it fair!”
Maya has the first turn to share the cake. She uses the knife to draw lines in the icing. The others watch her. She does not cut the cake yet. The others must first agree if her way is fair. “I think I will make two cuts down like this. Now we have three slices, all the same!” Maya shows them. There is one line on the left and the other on the right.
“No way!” says Duksie. “The one in the middle is much too big!” Doobie also shakes his head. Maya laughs and tells Duksie to try.
“Pass me the knife.I’ll do it,” says Duksie First she rubs out Maya’s pattern in the icing, and then she makes one cut across and one down. “Look, I have made my three slices!” “That’s not fair!” shout Maya and Doobie together,.
“Why don’t you try, Doobie?” says Duksie. “I bet you can’t do it!”
“I wish the cake was a square, and then it would be easy!” says Doobie thoughtfully. And then! A picture comes into Doobie’s head. He sees the silver badge (标识) at the front of his father’s big red Benz truck. “I’ve got it! I’ve got it! I know how to do it,” shouts Doobie.
“How did you work it out?” Maya asks. Doobie smiles to himself. For now it’s his secret. Later, he will tell his dad.
注意:1.续写词数应为150左右；
2.请按如下格式在答题卡的相应位置作答。
First Doobie uses a knife to smooth Duksie’s lines in the icing.
___________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________With Mama K’s encouragement, Maya takes charge, expertly cutting along Doobie’s lines to make three equal slices.
___________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________9 . Phonetic (语音) information—the smallest sound elements of speech - is considered by researchers to be the basis of language. Babies are thought to learn these small sound elements and add them together to make words. But a new study suggests that phonetic information is learnt too late and slowly for this to be the case. Instead, rhythmic (有韵律的) speech helps babies learn language and is effective even in the first few months of life.
Researchers from the Trinity College Dublin investigated babies’ ability to process phonetic information during their first year. Their study, published in the journal Nature Communications. found that phonetic information wasn’t successfully encoded (编码) until seven months old, and did not occur very often at 11 months old when babies began to say their first words. From then individual speech sounds are still added in very slowly—too slowly to form the basis of language.
The researchers recorded patterns of brain activity in 50 babies at four, seven, and eleven months old as they watched a video of a primary school teacher singing 18 nursery rhymes (童谣) to a baby. They found that phonetic encoding in babies appeared inchmeal over the first year of life, beginning with labial sounds (e.g. “d” for “daddy”) and nasal sounds (e.g. “m” for “mummy”), with the “read out” progressively looking more like that of adults.
“The reason why we use nursery rhymes is because that is the best way for babies to discover and connect sounds with language, so we are teaching them how to speak,” said Giovanni Di Liberto, lead author of the study at Trinity College Dublin in Ireland. “Parents should talk and sing to their babies as much as possible or use baby-directed speech because it will make a difference to language outcome,” she added.
1. What should babies learn in the first few months of life according to the new study?| A．Small sound elements | B．Rhythmic information. |
| C．Phonetic information. | D．Individual words. |
| A．The poor phonetic encoding in babies. | B．The advantages of phonetic information. |
| C．The babies’ great ability to learn language. | D．The babies’ growing process in the first year. |
| A．Gradually. | B．Suddenly. | C．Successfully. | D．Occasionally. |
| A．When Babies Are Able to Say Their First Words |
| B．How Phonetic Information Changes Over Time |
| C．Why Phonetic Is Better Than Rhythmic for Babies |
| D．Why Babies Need Nursery Rhymes for Language Mastery |
10 . Imagine this. You need an image of a balloon for a work presentation and turn to an AI text-to- image generator, like Midjourney or DALL-E, to create a suitable image. You enter the prompt (提示词) “red balloon against a blue sky” but the generator returns an image of an egg instead.
What’s going on? The generator you’re using may have been “poisoned”. What does this mean? Text-to-image generators work by being trained on large datasets that include millions or billions of images. Some of the generators have been trained by indiscriminately scraping online images, many of which may be under copyright. This has led to many copyright infringement (侵害) cases where artists have accused big tech companies of stealing and profiting from their work.
This is also where the idea of “poison” comes in. Researchers who want to empower individual artists have recently created a tool named “Nightshade” to fight back against unauthorised image scraping. The tool works by slightly altering an image’s pixels (像素) in a way that confuses the computer vision system but leaves the image unaltered to a human’s eyes. If an organization then scrapes one of these images to train a future AI model, its data pool becomes “poisoned”. This can result in mistaken learning, which makes the generator return unintended results. As in our earlier example, a balloon might become an egg.
The higher the number of “poisoned” images in the training data, the greater the impact. Because of how generative AI works, the damage from “poisoned” images also affects related prompt keywords. For example, if a “poisoned” image of a Picasso work is used in training data, prompt results for masterpieces from other artists can also be affected.
Possibly, tools like Nightshade can be abused by some users to intentionally upload “poisoned” images in order to confuse AI generators. But the Nightshade’s developer hopes the tool will make big tech companies more respectful of copyright. It does challenge a common belief among computer scientists that data found online can be used for any purpose they see fit.
Human rights activists, for example, have been concerned for some time about the indiscriminate use of machine vision in wider society. This concern is particularly serious concerning facial recognition. There is a clear connection between facial recognition cases and data poisoning, as both relate to larger questions around technological governance. It may be better to see data poisoning as an innovative solution to the denial of some fundamental human rights.
1. The underlined word “scraping” (para. 2) is closest in meaning to ____.| A．facilitating | B．collecting | C．damaging | D．polishing |
| A．increase the accuracy of returned information |
| B．cause users to forget the prompt key words |
| C．interfere with the training of generative AI |
| D．discriminate against great masterpieces |
| A．Data poisoning is somehow justified to direct attention to human rights. |
| B．Computer scientists has learned to respect the copyright of most artists. |
| C．Nightshade is being abused by human rights activists to recognize faces. |
| D．The issue of technological governance has aroused the lawyers’ interest. |
| A．Data Poisoning: Government Empowering Citizens to Protect Themselves |
| B．Data Poisoning: Addressing Facial Recognition Issues Among Artists |
| C．Data Poisoning: Risks and Rewards of Generative AI Data Training |
| D．Data Poisoning: Restricting Innovation or Empowering Artists |
