1 . For decades, scientists thought of the brain as the most closely guarded organ. Locked safely behind a biological barrier, away from the disorder of the rest of the body, it was broadly free of destruction of germs (病菌) and the battles started by the immune system.
Then, 20-odd years ago, some researchers began to ask a question: is the brain really so separate? The answer, according to a growing body of evidence, is no — and has important effects on both science and health care.
The list of brain conditions that have been associated with changes elsewhere in the body is long and growing. Changes in the make-up of the microorganisms resident in the gut (肠道), for example, have been linked to disorders like Parkinson’s disease. Some researchers think that certain infections could provoke Alzheimer’s disease and some could lead to emotional disorder in babies.
The effect is two-way. There is a lengthening list of symptoms (症状) not typically viewed as disorders of the nervous system in which the brain and the neural processes that connect it to the body play a large part. For example, the development of a fever is influenced by a population of neurons (神经元) that control body temperature and appetite. The effect of brain on body is underlined by the finding that stimulating a particular brain region in mice can ‘remind’ the body of previous inflammation (炎症) — and reproduce them.
These findings and others mark a complete shift in our view of the interconnectedness of brain and body, and could help us both understand and treat illness. If some brain conditions start outside the brain, then perhaps cures for them could also reach in from outside. Treatments that take effect through the digestive system, heart or other organs, for instance, would be much easier and less striking to give than those that must cross the blood-brain barrier, the brain’s first line of defence.
In the opposite direction, the effects of our emotions or mood on our capacity to recover from illness could also be used. There is an opening work under way testing whether stimulating certain areas of the brain that respond to reward and produce feelings of positivity could enhance recovery from conditions such as heart attacks. Perhaps even more exciting is the possibility that making changes to our behaviour — to reduce stress, say — could have similar benefits.
For neuroscientists, it’s time to look beyond the brain. And clinicians treating the body mustn’t assume the brain is above getting involved — its activity could be influencing a wide range of conditions, from mild infections to long-time fatness.
1. The author writes paragraph 1 mainly to ______.A.evaluate an argument |
B.present an assumption |
C.summarize the structure |
D.provide the background |
A.Delay. | B.Cure. | C.Cause. | D.Disturb. |
A.Treatments that cross brain-blood barrier are less used. |
B.Previous diseases could cause the production of new ones. |
C.Emotions could affect the capacity to fight against diseases. |
D.Treatment of the brain takes priority over other treatments. |
I: Introduction P: Point Sp: Sub-point (次要点) C: Conclusion
A. | B. |
C. | D. |
Uncertainty is all around us, never more so than today. Whether it concerns your health or relationships, much of what lies ahead in life remains uncertain.
We’re all different in how much uncertainty we can tolerate in life. Some people seem to enjoy taking risks and living unpredictable lives, while others find the randomness of life deeply annoying. But all of us have a limit. If you feel controlled by uncertainty and worry, it’s important to know that you’re not alone; many of us are in the same boat.
To cope with all this uncertainty, many of us use worrying as a tool for trying to predict the future and avoid unpleasant surprises. Worrying can make it seem like you have some control over uncertain circumstances. You may also believe that it will help you find a solution to your problems or prepare you for the worst. Unfortunately, long-term worrying just robs you of enjoyment in the present and weakens your energy. But there are healthier ways to cope with uncertainty.
Identify your uncertainty trigger (诱发因素). A lot of uncertainty tends to be self-generated. However, some can be generated by external sources, such as reading media stories that focus on bad news, or simply communicating with anxious friends. By recognizing your triggers, you can take action to avoid or reduce your exposure to them.
Shift your attention. Focus on solvable worries, taking action on those aspects of a problem that you can control, or simply go back to what you were doing. When the feelings of uncertainty return, refocus your mind on the present moment and your own breathing.
1. How are people different in tolerating uncertainty in life?2. Why do many people use worrying as a tool to deal with uncertainty?
3. Please decide which part is false in the following statement, then underline it and explain why.
▶ Knowing the triggers of your uncertainty, you can learn to expose yourself to them.
4. What are you most uncertain about right now? How will you deal with it? (In about 40 words)
3 . Researchers hope brain implants will one day help people with aphasia(失语症) to get their voice back—and maybe even to sing. Now, for the first time, scientists have demonstrated that the brain’s electrical activity can be decoded and used to reconstruct music.
A new study analyzed data from 29 people monitored for epileptic seizures(癫痫发作), using electrodes(电极) on the surface of their brain. As participants listened to a selected song, electrodes captured brain activity related to musical elements, such as tone, rhythm, and lyrics. Employing machine learning, Robert Knight from UC Berkeley and his colleagues reconstructed what the participants were hearing and published their study results. The paper is the first to suggest that scientists can “listen secretly to” the brain to synthesize(合成) music.
To turn brain activity data into musical sound, researchers trained an artificial intelligence (AI)model to decode data captured from thousands of electrodes that were attached to the participants as they listened to the song while undergoing surgery. Once the brain data were fed through the model, the music returned. The model also revealed some brain parts responding to different musical features of the song.
Although the findings focused on music, the researchers expect their results to be most useful for translating brain waves into human speech. Ludovic Bellier, the study’s lead author, explains that speech, regardless of language, has small melodic differences—tempo, stress, accents, and intonation—known as prosody(韵律). These elements carry meaning that we can’t communicate with words alone. He hopes the model will improve brain-computer interfaces (BCI), assistive devices that record speech-associated brain waves and use algorithms to reconstruct intended messages. This technology, still in its infancy, could help people who have lost the ability to speak because of aphasia.
Future research should investigate whether these models can be expanded from music that participants have heard to imagined internal speech. If a brain-computer interface could recreate someone’s speech with the prosody and emotional weight found in music, it could offer a richer communication experience beyond mere words.
Several barriers remain before we can put this technology in the hands—or brains— of patients. The current model relies on surgical implants. As recording techniques improve, the hope is to gather data non-invasively, possibly using ultrasensitive electrodes. However, under current technologies, this approach might result in a lower speed of decoding into natural speech. The researchers also hope to improve the playback clarity by packing the electrodes closer together on the brain’s surface, enabling an even more detailed look at the electrical symphony the brain produces.
1. What can we learn from the study?A.Electrodes can analyze musical elements. |
B.The decoding of brain data helps recreate music. |
C.Machine learning greatly enhances brain activity. |
D.The AI model monitors music-responsive brain regions. |
A.The prosody of speech. | B.The collection of brain waves. |
C.The emotional weight of music. | D.The reconstruction of information. |
A.Unlocking the Secrets of Melodic Mind | B.Brain Symphony: Synthesized Human Speech |
C.BCI Brings Hope to People with Aphasia | D.Remarkable Journey: Decoding Brain with AI |
4 . Have we reached the peak of the culture war? Looking at my social media feeds, it seems that polarised thinking and misinformation have never been more common. How am I supposed to feel when users I once admired now draw on questionable evidence to support their beliefs?
Perhaps it is time for us all to adopt a little “existential humility”. I came across this idea in a paper by Jeffrey Greenat Virginia from Common Wealth University and his colleagues. They build on a decade of research examining the benefits of “intellectual humility” more generally — our ability to recognise the errors in our judgement and remain aware of the limits of our knowledge.
You can get a flavour of this research by rating your agreement with the following statements, ranging from 1 (not at all like me) to 5 (very like me): I question my own opinions because they could be wrong; I recognise the value in opinions that are different from my own; in the face of conflicting evidence, I am open to changing my opinions.
People who score highly on this assessment are less likely to form knee-jerk reactions on a topic, and they find it easier to consider the strengths or weaknesses of a logical argument. They are less likely to be influenced by misinformation, since they tend to read the article in full, investigate the sources of a news story and compare its reporting to other statements, before coming to a strong conclusion about its truth.
Developing “intellectual humility” would be an excellent idea in all fields, but certain situations may make it particularly difficult to achieve. Greenat points out that some beliefs are so central to our identity that any challenge can activate an existential crisis, as if our whole world view and meaning in life are under threat. As a result, we become more insistent in our opinions and seek any way to protect them. This may reduce some of our feelings of uncertainty, but it comes at the cost of more analytical thinking.
For these reasons, Greenat defines “existential humility” as the capacity to entertain the thought of another world view without becoming so defensive and closed-minded. So how could we achieve it? This will be the subject of future research, but the emotion of awe (a feeling of great respect and admiration) may offer one possibility. One study found that watching awe-inspiring videos about space and the universe led to humbler thinking, including a greater capacity to admit weaknesses.
Perhaps we could all benefit from interrupting our despair with awe-inspiring content. At the very least, we can try to question our preconceptions before offering our views on social media and be a little less ready to criticize when others disagree.
1. Regarding the culture war on social media, the author is _______.A.embarrassed | B.concerned | C.panicked | D.stressed |
A.Existential humility reduces the threat to identity. |
B.People with intellectual humility tend to jump to conclusions. |
C.Awe could promote existential humility by encouraging modest thinking. |
D.The higher you score on the assessment, the more you stick to your values. |
A.Overcome an Existential Crisis | B.Show a Little Humility |
C.The Path to Screening Information | D.The Approach to Achieving Humility |
5 . When I teach research methods, a major focus is peer review. As a process, peer review evaluates academic papers for their quality, integrity and impact on a field, largely shaping what scientists accept as “knowledge”- By instinct, any academic follows up a new idea with the question, “Was that peer reviewed?”
Although I believe in the importance of peer review and I help do peer reviews for several academic journals-I know how vulnerable the process can be.
I had my first encounter with peer review during my first year as a Ph. D student. One day, my adviser handed me an essay and told me to have my -written review back to him in a week. But at the time, I certainly was not a “peer”-I was too new in my field. Manipulated data (不实的数据) or substandard methods could easily have gone undetected. Knowledge is not self-evident. Only experts would be able to notice them, and even then, experts do not always agree on what they notice.
Let’s say in my life I only see white swans. Maybe I write an essay, concluding that all swans are white. And a “peer” says, “Wait a minute, I’ve seen black swans.” I would have to refine my knowledge.
The peer plays a key role evaluating observations with the overall goal of advancing knowledge. For example, if the above story were reversed, and peer reviewers who all believed that all swans were white came across the first study observing a black swan, the study would receive a lot of attention.
So why was a first-year graduate student getting to stand in for an expert? Why would my review count the same as an expert’s review? One answer: The process relies almost entirely on unpaid labor.
Despite the fact that peers are professionals, peer review is not a profession. As a result, the same over-worked scholars often receive masses of the peer review requests. Besides the labor inequity, a small pool of experts can lead to a narrowed process of what is publishable or what counts as knowledge, directly threatening diversity of perspectives and scholars. Without a large enough reviewer pool, the process can easily fall victim to biases, arising from a small community recognizing each other’s work and compromising conflicts of interest.
Despite these challenges, I still tell my students that peer review offers the best method for evaluating studies aird advancing knowledge. As a process, peer review theoretically works. The question is whether the issues with peer review can be addressed by professionalizing the field.
1. What can we learn about peer review in the first paragraph?A.It generates knowledge. | B.It is commonly practiced. |
C.It is a major research method. | D.It is questioned by some scientists. |
A.Complexity of peer review ensures its reliability. |
B.Contradictions between scientists may be balanced. |
C.Individuals can be limited by personal experiences. |
D.Experts should detect unscientific observation methods. |
A.Workload for scholars. | B.Toughness of the process. |
C.Diversification of publications. | D.Financial support to reviewers. |
A.what fuels peer review | B.why peer review is imperfect |
C.how new hands advance peer review | D.whether peer reviewers are underrated |
6 . 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 |
7 . In some ways, it is surprising that languages change. After all, they are passed down through the generations reliably enough for parents and children to communicate with each other.
Languages change for a variety of reasons. Large-scale shifts often occur in response to social, economic, and political pressures, as there are many examples of language change fueled by invasions, colonization, and migration.
A.Changes in sound are somewhat harder to document but just as interesting. |
B.Yet linguists find that all living languages change over time — at different rates though. |
C.As long as people are using a language, that language will undergo some change. |
D.All natural languages change, and language change affects all areas of language use. |
E.The three main areas of language that change over time are vocabulary, sentence structure, and pronunciation. |
F.Even without these kinds of influences, a language can change dramatically if enough users adopt a new way of speaking. |
G.The vocabulary and phrases people use depend on where they live, their age, education level, social status and other factors. |
8 . Every day, thousands of rangers patrol national parks and other protected areas in Africa. Their job is fraught with danger, both from hostile humans armed with automatic weapons and from the unappreciative and potentially aggressive wildlife, armed with tusks, teeth and claws, which they are helping to preserve.
That is particularly true of data on poaching (偷猎), which remains, in both senses of the word, an elephantine problem. Since 2006 African elephant populations have declined by around 30%. In 2021, according to Monitoring the Illegal Killing of Elephants (MIKE), a conservation programme, around 40% of elephant deaths were a result of poaching.
Elsewhere, there is great variation in the pressure on animals like elephants. Some parks, like Garamba in the Democratic Republic of Congo (DRC), are badly hit — with more than 90% of the bodies found by rangers being victims of poachers.
Natural variables such as habitat type, they discovered, make little difference.
One factor that was unquantifiable, and therefore untestable, according to Dr Kuiper, was local political will to preserve wildlife. But this study does nevertheless confirm observations made elsewhere, that the best form of conservation is a prosperous population.
A.Human ones predominate. |
B.The severity of elephant poaching varies from place to place. |
C.Humans are the biggest factor defining elephant ranges across Africa. |
D.There was one unexpected result, though — the impact of armed conflict. |
E.But their work is important, not least because the data they collect are crucial to conservation planning. |
F.In others, like Chobe, in Botswana, less than 10% of dead elephants discovered have been killed illegally. |
G.Current discussion of how to reduce poaching focuses on two areas: reducing demand and reducing supply. |
9 . Golf has a length problem. The farther players drive the ball, the longer holes need to be, so that skills like iron play and putting (打球入洞) remain important. But the longer courses are, the more they cost to maintain and the worse their environmental impact. They also become more daunting for recreational golfers, who keep them in business.
In 2004, golf’s regulators introduced limits on the size of clubs (球杆), hoping to slow the trend of ever-longer drives. Nonetheless, the inflation has continued quickly. On November 15th a famous record tumbled (下跌): someone completed the Masters Tournament in fewer than 270 strokes, the mark Tiger Woods set when he won his first major title in 1997. The new low of 268 belongs to Dustin Johnson, who has averaged more than 300 yards a pop throughout his career. He achieved the feat even though the Augusta National course is 8% longer than in 1997.
How have golfers continued to blast the ball farther than ever? The PGA Tour publishes ball-tracking statistics, which suggest that, although better equipment may have helped, players’ recent gains stem largely from their technique — and even bigger improvements now appear inevitable.
The data come from ShotLink, a system that tracks how fast a golfer swings (“clubhead speed”), his ball’s trajectory (“launch angle”) and its rotation speed (“spin rate”). A statistical model using these metrics was built to predict driving distances. Together, the three factors explained 70% of the differences between players’ distances, and almost all of the increase in length over time.
The model’s lessons are intuitive. To thump the ball as far as possible, one should maximise clubhead speed and launch angle while minimising spin. However, most players face a trade-off between these goals. Harder impacts usually mean flatter trajectories.
One golfer, however, has escaped this constraint. Bryson DeChambeau, a physics graduate with oddly designed club, is nicknamed the “Mad Scientist”. He gained 18kg of weight while the PGA Tour was suspended. This has allowed him to swing faster than anyone else. But he has also managed to smash the ball with a high launch angle — an unprecedented combination that might owe something to his unusually stiff wrists and robotic technique. Using both his brains and his brawn, Mr DeChambeau is now hitting 15 yards farther than his closest competitors do.
Mark Broadie, a golf statistician, reckons that other professionals will try to beef up. But golf history is full of players who lost their edge after making small changes to their swings. And time may yet show that the risks of Mr DeChambeau’s bombs-away approach offset some of the rewards. He strayed into the rough (球场长草区) often at the Masters.
Nonetheless, the Mad Scientist’s breakthrough is bad news for course designers. They will probably have to keep fiddling with their fairways on the golf courses for years to come.
1. The author mentions Tiger Woods in Paragraph 2 to show ________.A.golf drives are increasingly farther | B.the number of records is falling |
C.game time is lengthening gradually | D.golf courses are growing longer |
A.finer equipment | B.longer courses | C.larger build | D.better techniques |
A.He has invented the never-failing bombs-away approach. |
B.He is a golf statistician who spends a lot of time in the gym. |
C.He actively urges course designers to update the golf courses. |
D.He has managed to swing the ball fast without flatter trajectories. |
A.Changes to the swing shall be made with great caution. |
B.Longer courses will cause more problems than benefits. |
C.Professionals should follow Mr DeChambeau’s lead. |
D.Other golfers should be brave enough to take risks. |
10 . Superhuman artificial intelligence is already among us. Well, sort of. When it comes to playing games like chess and Go, or solving difficult scientific challenges like predicting protein structures, computers are well ahead of us. But we have one superpower they aren’t close to mastering: mind reading.
Humans have a mysterious ability to reason the goals, desires and beliefs of others, a crucial skill that means we can anticipate other people’s actions and the consequences of our own. Reading minds comes so easily to us, though, that we often don’t think to spell out what we want. If AIs are to become truly useful in everyday life—to cooperate effectively with us or to understand that a child might run into the road after a bouncing ball—we have to give them this gift that evolution has given us to read other people’s minds.
Psychologists refer to the ability to infer another’s mental state as theory of mind. In humans, this capacity starts to develop at a very young age. How to reproduce the capability in machines is far from clear, though. One of the main challenges is context. For instance, if someone asks whether you are going for a run and you reply “it’s raining”, they can quickly conclude that the answer is no. But this requires huge amounts of background knowledge about running, weather and human preferences.
Moreover, whether humans or AI, the theory of mind is supposed to emerge naturally from one’s own learning process. Building prior knowledge into AI makes it reliant on our imperfect understanding of theory of mind. In addition, AI may be capable of developing approaches we could never imagine. There can be many forms of theory of mind that we don’t know about simply because we live in a human body that has certain types of senses and a certain ability to think.
Yet we might still want AI to have a more human-like form of theory of mind. Humans can clearly explain their goals and desires to each other using common language and ideas. While letting AI form the theory of mind in their learning process is likely to lead to developing more powerful AI, plainly building in shared ways to represent knowledge may be crucial for humans to trust and communicate with AI.
It is important to remember, though, that the pursuit of machines with theory of mind is about more than just building more useful robots. It is also a stepping stone on the path towards a deeper goal for AI and robotics research: building truly self-aware machines. Whether we will ever get there remains to be seen. But along the way thinking about other people and other agents, we are on the path to learning to think about ourselves.
1. According to the passage, which of the following contexts can AI understand well?A.When you are asked to eat spicy food for dinner and you reply “a sore throat”. |
B.When a teacher asks for a boy’s homework and he answers “my dog ate it”. |
C.When a mom tells her kid some food is good for health and the kid eats it. |
D.When kids see their mom after hurting themselves and they cry louder. |
A.humans’ theory of mind is far from perfect |
B.humans limit AI’s theory of mind to an extent |
C.we should reject human-like forms of abilities for AI |
D.shared forms of theory of mind result in more powerful AI |
A.Reliability. | B.Practicability. |
C.Reasoning capability. | D.Communication ability. |
A.AI with Its Own Theory of Mind Is Expected |
B.AI with Theory of Mind Will Reshape Our Future |
C.AI’s Theory of Mind Is a Blessing or Suffering to Humans |
D.Theory of Mind Bridges the Gap Between Humans and AI |