1 . While some allergies (过敏症) disappear over time or with treatment, others last a lifetime. For decades, scientists have been searching for the source of these lifetime allergies.
Recently, researchers found that memory B cells may be involved. These cells produce a different class of antibodies known as IgG, which ward off viral infections. But no one had identified exactly which of those cells were recalling allergens or how they switched to making the IgE antibodies responsible for allergies. To uncover the mysterious cells, two research teams took a deep dive into the immune (免疫的) cells of people with allergies and some without.
Immunologist Joshua Koenig and colleagues examined more than 90, 000 memory B cells from six people with birch allergies, four people allergic to dust mites and five people with no allergies. Using a technique called RNA sequencing, the team identified specific memory B cells, which they named MBC2s that make antibodies and proteins associated with the immune response that causes allergies.
In another experiment, Koenig and colleagues used a peanut protein to go fishing for memory B cells from people with peanut allergies. The team pulled out the same type of cells found in people with birch and dust mite allergies. In people with peanut allergies, those cells increased in number and produced IgE antibodies as the people started treatment to desensitize them to peanut allergens.
Another group led by Maria Curotto de Lafaille, an immunologist at the Icahn School of Medicine at Mount Sinai in New York City, also found that similar cells were more plentiful in 58 children allergic to peanuts than in 13 kids without allergies. The team found that the cells are ready to switch from making protective IgG antibodies to allergy-causing IgE antibodies. Even before the switch, the cells were making RNA for IgE but didn’t produce the protein. Making that RNA enables the cells to switch the type of antibodies they make when they encounter allergens. The signal to switch partially depends on a protein called JAK, the group discovered. “Stopping JAK from sending the signal could help prevent the memory cells from switching to IgE production,” Lafaille says. She also predicts that allergists may be able to examine aspects of these memory cells to forecast whether a patient's allergy is likely to last or disappear with time or treatment.
“Knowing which population of cells store allergies in long-term memory may eventually help scientists identify other ways to kill the allergy cells,” says Cecilia Berin, an immunologist at Northwestern University Feinberg School of Medicine. “You could potentially get rid of not only your peanut allergy but also all of your allergies.”
1. Why did scientists investigate the immune cells of individuals with and without allergies?| A．To explore the distinctions between IgG and IgE. |
| B．To uncover new antibodies known as IgG and IgE. |
| C．To identify cells responsible for defending against allergies. |
| D．To reveal cells associated with the development of allergies. |
| A．Make. . . less destructive. | B．Make. . . less responsive. |
| C．Make. . . less protective. | D．Make. . . less effective. |
| A．MBC2s make antibodies and proteins that prevent allergies. |
| B．Memory B cells generate both RNA for IgE and the corresponding protein. |
| C．JAK plays a role in controlling antibody production when exposed to allergens. |
| D．Allergists are capable of predicting whether an allergy will last or disappear. |
| A．RNA Sequencing Is Applied in Immunology Research |
| B．Specific Cells Related to Peanut Allergies Are Identified |
| C．Unmasking Cells’ Identities Helps Diagnose and Treat Allergies |
| D．Newfound Immune Cells Are Responsible for Long-lasting Allergies |
2 . Faced with an attempt by a new chatbot to imitate (模仿) his own songs, the musician Nick Cave delivered a strong response: it was “an absolutely horrible attempt”. He understood that AI was in its babyhood, but could only conclude that the true horror might be that “it will forever be in its babyhood”. While a robot might one day be able to create a song, he wrote, it would never grow beyond “a kind of burlesque (滑稽的模仿)”, because robots-being composed of data-are unable to suffer, while songs arise out of suffering.
Fans of Cave and his band will agree that his music is inimitable, but that doesn’t mean they would necessarily be able to tell the difference. A few days before Cave’s remarks, experts were asked to distinguish between four genuine artworks and their AI imitations. Their conclusions were wrong five times out of 12, and they were only unitedly right in one of the four picture comparisons.
These are party games, but they point to an unfolding challenge that must be managed as a matter of urgency because, like it or not, AI art is upon us. The arrival of the human-impersonating ChatGPT might have increased general awareness, but artists across a wide range of disciplines are already exploring its potential, with the dancer Wayne McGregor and London’s Young Vic Theatre among those who have created AI-based works.
A strongly-worded report from Communications and Digital Committee (CDC) issued a wake-up call to the government, urging it to raise its game in educating future generations of tech-savvy professionals, and tackling key regulatory challenges. These included reviewing reforms to intellectual property law, strengthening the rights of performers and artists, and taking action to support the creative sector in adapting to the disturbances caused by swift and stormy technological change.
While developing AI is important, it should not be pursued at all costs, the CDC stressed. It deplored the failure of the Department for Digital, Culture, and Media to offer a defence against proposed changes to intellectual property law that would give copyright exemption (版权豁免) to any work, anywhere in the world, involving AI text and data mining.
The challenges of AI are both philosophical, as Cave suggested, and practical. They will unfold over the short and long term. State-of-the-art creative industries have a key role to play in shaping and exploring the philosophical ones, but they must have the practical help they require to survive and be successful. They need it now.
1. Why does the author mention the four picture comparisons in Paragraph 2?| A．To stress the similarities between AI art and human art. |
| B．To argue that human art will be replaced by AI art. |
| C．To prove AI is stretching the boundaries of art. |
| D．To imply AI art cannot be underestimated. |
| A．Clearly analyzed. | B．Bravely suffered. |
| C．Strongly criticized. | D．Accurately perceived. |
| A．Some artists see AI as a tool even though it is a threat. |
| B．Creative industries are responsible for causing the AI problem. |
| C．Tech professionals need more training to better understand AI art. |
| D．The quality of AI art dismisses concerns about intellectual property. |
| A．The Creative Thief: AI Makes Perfect Art |
| B．AI in Art: A Battle That Must Be Fought |
| C．Threat or Opportunity: The Impact of AI on Art |
| D．The Rise of AI Art: What It Means to Human Artists |
3 . Laughing together is an important way for people to connect and bond. And though the causes of laughter can vary widely across individuals and groups, the sound of a laugh is usually recognizable between people belonging to different cultures.
But what about animals? Do they “laugh”? And are the causes of animal and human laughter alike? In humans, people may laugh when they hear a joke, or when they see something that they think is funny, though it’s unknown if animals’ intelligence includes what humans would call a sense of humor.
However, many animals produce sounds during play that are unique to that pleasant social interaction. Researchers consider such vocalizations to be similar to human laughter. Recently, scientists investigated play vocalization to see how common it was among animals. The team identified 65 species that “laughed” while playing — most were mammals (哺乳动物), but a few bird species demonstrated playful laughter too. Reports of playful laughter were notably absent in studies describing fish, perhaps because there is some question as to whether or not play exists at all in that animal group. This new study could help scientists to analyze the origins of human laughter.
But how can we identify play? Unlike fighting, play is usually repetitive and happens independently of other social behaviors, said lead study author Sasha Winkler, a doctor of biological anthropology at the University of California. When it comes to identifying it, “you know it when you see it,” Winkler told Live Science. One sign is that primates — our closest relatives — have a “play face” that is similar to the expressions of humans who are playing.
When Winkler previously worked with rhesus macaques, she had noticed that the monkeys panted (喘气) quietly while playing. Many other primates are also known to vocalize during play, she said, so a hypothesis (laughter in humans is thought to have originated during play) supported by the play-related panting laughter of many primate species was put forward.
People now still laugh during play, but we also integrate laughter into language and non-play behaviors, using laughter in diverse ways to express a range of emotions that may be positive or negative. Human laughter notably differs from other animals’ laughter in another important way: its volume. People broadcast their laughter loudly, often as a way of establishing inclusion. By comparison, when most animals laugh, the sound is very quiet — just loud enough to be heard by the laugher’s partner.
“It’s really fascinating that so many animals have a similar function of vocalization during play,” Winkler told Live Science. “But we do have these unique parts of human laughter that are also an important area for future study."
1. What is the main purpose of the passage?| A．To explain causes of animal and human laughter. |
| B．To assess complexities regarding animal laughter. |
| C．To present findings on the existence of animal laughter. |
| D．To analyze differences between animal and human laughter. |
| A．Animal laughter is even noticeable in fish. |
| B．Animal laughter is hard to recognize during play. |
| C．People have learned to combine play with laughter. |
| D．People laugh loudly because they want to involve others. |
| A．Distinctive features of human laughter. |
| B．Different functions of animal laughter. |
| C．The origin and development of human laughter. |
| D．The relationship between animal laughter and intelligence. |
4 . Technology seems to discourage slow, immersive reading. Reading on a screen, particularly a phone screen, tires your eyes and makes it harder for you to keep your place. So online writing tends to be more skimmable and list-like than print. The cognitive neuroscientist Mary Walt argued recently that this “new norm” of skim reading is producing “an invisible, game-changing transformation” in how readers process words. The neuronal circuit that sustains the brain’s capacity to read now favors the rapid absorption of information, rather than skills developed by deeper reading, like critical analysis.
We shouldn’t overplay this danger. All readers skim. Skimming is the skill we acquire as children as we learn to read more skillfully. From about the age of nine, our eyes start to bounce around the page, reading only about a quarter of the words properly, and filling in the gaps by inference. Nor is there anything new in these fears about declining attention spans. So far, the anxieties have proved to be false alarms. “Quite a few critics have been worried about attention span lately and see very short stories as signs of cultural decline,” the American author Selvin Brown wrote. “No one ever said that poems were evidence of short attention spans.”
And yet the Internet has certainly changed the way we read. For a start, it means that there is more to read, because more people than ever are writing. If you time travelled just a few decades into the past, you would wonder at how little writing was happening outside a classroom. And digital writing is meant for rapid release and response. An online article starts forming a comment string underneath as soon as it is published. This mode of writing and reading can be interactive and fun. But often it treats other people’s words as something to be quickly harvested as fodder to say something else. Everyone talks over the top of everyone else, desperate to be heard.
Perhaps we should slow down. Reading is constantly promoted as a social good and source of personal achievement. But this advocacy often emphasizes “enthusiastic”, “passionate” or “eager” reading, none of which adjectives suggest slow, quiet absorption.
To a slow reader, a piece of writing can only be fully understood by immersing oneself in the words and their slow comprehension of a line of thought. The slow reader is like a swimmer who stops counting the number of pool laps he has done and just enjoys how his body feels and moves in water.
The human need for this kind of deep reading is too tenacious for any new technology to destroy. We often assume that technological change can’t be stopped and happens in one direction, so that older media like “dead-tree” books are kicked out by newer, more virtual forms. In practice, older technologies can coexist with new ones. The Kindle has not killed off the printed book any more than the car killed off the bicycle. We still want to enjoy slowly-formed ideas and carefully-chosen words. Even in a fast-moving age, there is time for slow reading.
1. What is the author’s attitude towards Selvin Brown’s opinion?| A．Favorable. | B．Critical. | C．Doubtful. | D．Objective. |
| A．advocacy of passionate reading helps promote slow reading |
| B．digital writing leads to too much speaking and not enough reflection |
| C．the public should be aware of the impact skimming has on neuronal circuits |
| D．the number of Internet readers is declining due to the advances of technology |
| A．Comprehensive. | B．Complicated. | C．Determined. | D．Apparent. |
| A．Slow Reading Is Here to Stay |
| B．Digital Technology Prevents Slow Reading |
| C．Screen vs. Print: Which Requires Deep Reading? |
| D．Reading Is Not a Race: The Wonder of Deep Reading |
5 . Imagine a simple blood test that could flag most kinds of cancers at the earliest, most curable stage. Liquid biopsies could, in theory, detect a tumor (肿瘤) well before it could be found by touch, symptoms or imaging. Blood tests could avoid the need for surgeons to cut tissue samples and make it possible to reveal cancer hiding in places needles and scalpels cannot safely reach. They could also determine what type of cancer is taking root to help doctors decide what treatment might work best to destroy it.
Liquid biopsies are not yet in hand, because it is hard to find definitive cancer signals in a tube of blood, but progress in recent years has been impressive. Last year the journal Science published the first big prospective study of a liquid biopsy for DNA and proteins from multiple types of cancers. Though far from perfect, the blood test called CancerSEEK found 26 tumors that had not been discovered with conventional screenings.
Liquid biopsies can rely on a variety of biomarkers in addition to tumor DNA and proteins, such as free-floating cancer cells themselves. But what makes the search difficult, Ana Robles, a cancer biologist of the National Cancer Institute, explains, is that “if you have an early-stage cancer or certain types of cancer, there might not be a lot of tumor DNA,” and tests might miss it. The ideal blood test will be both very specific and very sensitive so that even tiny tumors can be found. To tackle this challenge, CancerSEEK looks for cancer-specific mutations (突变) on 16 genes, and for eight proteins that are linked to cancer and for which there are highly sensitive tests.
Simple detection is not the only goal. An ideal liquid biopsy will also determine the likely location of the cancer so that it can be treated. “Mutations are often shared among different kinds of cancer, so if you find them in blood, you don’t know if that mutation is coming from a stomach cancer or lung cancer,” says Anirban Maitra, a cancer scientist at the Anderson Cancer Center. To solve that problem, some newer liquid biopsies look for changes in gene expression. Such changes, Maitra notes, are “more organ-specific”.
On the nearer horizon are liquid biopsies to help people already diagnosed with cancer. Last year the government approved the first two such tests, which scan for tumor DNA so doctors can select mutation-targeted drugs. Scientists are working on blood tests to detect the first signs of cancer recurrence (复发) in patients who have completed treatment. This work is moving fast, but does it save lives?
That is the question companies such as Thrive and Grail must answer for their broadly ambitious screening tests. “These companies have to prove that they can detect early cancer and, more important, that the early detection can have an impact on cancer survival,” Maitra observes.
1. According to the passage, liquid biopsies are expected to| A．flag cancer and determine the treatment |
| B．detect cancer signals from a sample of blood |
| C．take images of tumors and prevent potential cancers |
| D．show types of cancer by measuring the amount of proteins |
| A．Signs of cancer recurrence are not detectable. |
| B．Different kinds of cancer have different gene mutations. |
| C．Biomarkers are much more reliable than tumor DNA and proteins. |
| D．Organ-specific cancers will be identified through changes in gene expression. |
| A．liquid biopsies can discover tumors conventional screenings can’t find |
| B．liquid biopsies can improve the application of mutation-targeted drugs |
| C．liquid biopsies can help save the lives of those with cancer |
| D．liquid biopsies can be developed for cancer prevention |
6 . Music is a powerful thing. It awakens feelings and has the power to bring people together. But today, artists are not known for their music, but for how flashy their clothing is and how many times their wealthy relatives can get them out of jail(监狱). And thus, their music is lost.
Pop and rap music has developed into a shallow, image-addicted industry that lines up with what the public wants to hear and see, removing the focus on the actual music. Mainstream music is no longer composed of emotion, but instead, themes of money and fame. Photos and rumors fly while the music is ignored.
Not all musical groups or individual artists begin like this. Many of these artists are original and talented, but turn to the money side. Often their songs are written by experts who know what is appealing to a certain age group, and the musicians’ faces can be seen on countless magazine covers. Soon their supposedly new and improved songs can be heard blasting out of car windows. But these songs are totally empty, lacking creativity and the original thirst of the artist to make an impact or convey(传递) a message.
MTV is not helping. It plays only what the public wants to hear. And unfortunately, the majority seems interested in either sickly sweet, generic pop or stereotypical(刻板的), bleeped-out rap. Kids and teens everywhere are swimming in these songs, which are often degrading to women and minorities, and inappropriate.
Almost all the girls in my dorm are addicted to the same songs. This was the case the previous year, and the year before that. Whenever I try to play music I enjoy, or introduce them to some decent songs, they say that everyone except me likes their music.
Why do most teenagers only listen to pop and rap music when so many other types exist? Maybe it’s because everywhere we look, we are bombarded with the same music: on the radio, on TV, on the computer. At school, pop and rap are discussed all the time. Perhaps they have never listened to anything else. Or maybe peer pressure is part of it.
There is no solution to the “pop problem”. It’s called popular for a reason—many people enjoy it. There’s no easy way to change their views. My suggestion is not to buy music like this when you can explore something new. Expand your horizons. Dig up your parents’ old records and CDs. You never know what you might find.
1. The author probably prefers ______.| A．new pop songs meant for girls | B．original songs with deep meaning |
| C．catchy songs produced by popular singers | D．never-heard-before songs just recently discovered |
| A．Many artists trade creativity for wealth and fame. |
| B．The public is responsible for the existence of music. |
| C．MTV promotes the songs favored by women and minorities. |
| D．Musicians singing about money is an ineffective way to attract fans. |
| A．Try to respect your peers’ music tastes. |
| B．Deal with the “pop problem” patiently. |
| C．Expose yourself to various music styles. |
| D．Treasure the music from previous generations. |
7 . You’re faced with a lot of decisions in everyday work. There are multiple tasks calling for your focus, and you are burning daylight or even burn out trying to decide what comes first.
If you’re going to think smarter about how you prioritize (排序) tasks, you have to invest a little time away from your to-do list. Here’s the thing: what you work on confirms your values. You may think it’s no big thing to work overtime for a little while, but something will be sacrificed with this decision. If you’re a parent, you might spend less time with your kids. Similarly, if you choose not to work much or effectively, you’re deciding that your values lie outside your career.
Write all the tasks down and create four boxes containing all of things you care about. This could be: helps the community, helps one-to-one relationships, makes money, and things you find personally fulfilling. Then place them in the boxes and see how many of the boxes each one takes up. Anything that fills just one box has to be reconsidered. Anything that fills nothing should not be considered at all.
In order to figure out a plan for yourself, the first thing you should be doing is gathering all of your tasks, large and small.
Now that you have your priorities in order, go ahead and you will boost your productivity.
| A．You can also prioritize based on energy levels. |
| B．The good news is that some tasks can keep you motivated. |
| C．So how can you figure out what’s most important to work on first? |
| D．This activity allows you to see where you really want to invest your energy. |
| E．If you want to make a new list, you need to turn to your colleagues for help. |
| F．There are some tasks that are pretty straightforward and you need to do the thing. |
| G．Where you invest your time is not just about what you value but also what you don’t value. |
8 . Because the commercial internet has been developed with so little regard for privacy, tech companies have been able to turn personal data into considerable profits, raising billions of dollars off their ability to collect and sell information about anyone who has wandered within shouting distance of their software. This week, Google announced a step in the right direction-but not a huge step, nor one that will stop Google from continuing to collect immense amounts of personal data.
At issue is how online companies track internet users as they browse (浏览) from site to site online, typically through cookies (information that a website leaves in your computer so that the website will recognize you when you use it again). The most harmful version, “third-party” cookies, is the web alternative of a company posting security guards across the internet to monitor what you do, even when you’re on other companies’ sites.
Google declared in a blog post Wednesday that it would no longer use or support third-party cookies, nor would it create or use any other technology that tracks individual users across the web. Given that Google is a main supplier of online advertising technology, its change in approach will impact far and wide.
That’s welcome news, although with huge amounts of warning. As Lee Tien of the Electronic Frontier Foundation noted, third-party cookies were already on the retreat, with Apple and other makers of popular web browsers moving to block them. Meanwhile, Google, Facebook and other Big Tech companies continue to collect personal information in large quantities from people who use their sites and services through first-party cookies and similar techniques.
The concerns about personal data collection are the same whether it’s being collected through first-party or third-party techniques, said Michelle Richardson of the Center for Democracy and Technology. “Companies may use the information to discriminate among internet users, offering different goods, services and even prices to different users.”
Instead of helping advertisers track individuals, Google says, it is improving a technology that assigns users namelessly to large groups with common interests. That’s an improvement, even though it too may be at risk of abuse. But why do any form of tracking at all? Privacy advocates say pitches (兜售) can be targeted effectively by basing them on where the user is at the moment, not where he or she has browsed previously online.
Ultimately, lawmakers are going to have to lay down regulations giving people far more control over whether and how personal information is used online. Ideally the federal (联邦的) government will set a strong floor under online privacy protections, but until then it will be up to state lawmakers or voters to act, as this state has done with its groundbreaking online privacy laws. It’s good to see Google move the ball forward, but there’s much farther to go.
1. What does the underlined phrase “on the retreat” in Para 4 most probably mean?| A．Exposed. | B．Removed. | C．Emerging. | D．Fading. |
| A．is developing new technologies to stop data collection |
| B．refuses to work with companies tracking privacy |
| C．intends to abandon its advertising technologies |
| D．resolves to stop the use of third-party cookies |
| A．are still collecting personal information |
| B．are blocked by big companies like Apple |
| C．are mainly used by advertising companies |
| D．are less concerning than third-party cookies |
| A．It is less satisfactory than expected. |
| B．It needs to be more forceful to be effective. |
| C．It will accelerate the disappearance of cookies. |
| D．It has driven lawmakers to make new regulations. |
9 . Urban planners may soon have a new way to measure traffic jams. By putting in the different routes by which vehicles can travel between locations, researchers have developed a new computer algorithm (运算法则) that helps quantify regions of jams in urban areas and suggests ways around them.
The study, published in the Journal of Physics: Complexity, used traffic speeds from taxis in New York City to demonstrate how road infrastructure (基础设施) and driver behavior can create complex road networks that differ among cities.
The team approached the issue by designing a computer algorithm to capture the topology-or relationship between the different routes between locations-of road networks. “We found that the most significant traffic bottlenecks in Manhattan seem to arise as a result of the city’s structural layout,” said study co-author Daniel Carmody. “For example, the fact that a bridge enters Manhattan at a range where traffic is already limited due to Central Park slows traffic in the area considerably.”
The researchers performed a comparative analysis using traffic patterns in Chengdu, China, to test if the algorithm works equally well in areas with different layouts. Manhattan has a long and thin structure, while Chengdu is round. There are significant differences in the way traffic moves between these two different setups, the researchers said.
“The bottlenecks in Chengdu seem to arise due to the function of the buildings in a particular area,” Carmody said. “For example, it is hard to travel in and out of the central business district in Chengdu because of the large amount of traffic alone. Beltways, or faster streets around busy areas, have emerged in circles around this area, which is not surprising because this feature was intentionally built into the city.”
In Manhattan, the bridges and underpasses that form the entry and exit points cause traffic slowdowns. However, in lower Manhattan, where drivers seem to obey the lower posted speed limits, traffic moves more smoothly, forming a new traffic beltway with the southern end of Central Park acting as a block between lower and central Manhattan.
“It surprised us that there is an emergent beltway in such a busy area of Manhattan,” Carmody said. “This indicates that, unlike in Chengdu, beltways seem to arise from driver behavior even when they aren’t part of the structural plan of a traffic network.”
“The researchers have imagined that this technology could give urban planners a means to quantify traffic patterns, leading to better traffic,” Carmody said. “As methods of transportation develop, new problems will emerge, and we hope that our tools will give planners new ways to measure what is going on with city traffic.”
1. According to the new study, what contributes to traffic jams in Manhattan?| A．The number of bottlenecks and beltways. |
| B．The location of bridges and underpasses. |
| C．Road facilities and driver behavior. |
| D．Road signs and urban population. |
| A．compare the layouts of the two cities |
| B．find better infrastructure for one city |
| C．design traffic patterns with the algorithm |
| D．assess the effectiveness of the algorithm |
| A．Because of lower posted speed limits. |
| B．Because drivers follow the traffic rules. |
| C．Because it is planned in the traffic network. |
| D．Because a beltway has emerged around the area. |
| A．City planners. |
| B．Slower drivers. |
| C．Infrastructure developers. |
| D．Road sign designers. |
