1 . Psychological science is full of interesting topics, many of which tell a coherent picture of human nature, but some of which create seemingly contradictory stories. A case in point is the misunderstood overlap(交叠) between strengthbased science and the research on narcissism (自恋).
There is now convincing evidence to show that narcissism is on the rise, especially in our youth. Some researchers say that about 25% of young people showing symptoms of narcissism.
We are correct to be concerned about this phenomenon, but our fear that all kids are potential narcissists has caused an unhelpful reaction against approaches that seek to make our children and teens feel good about themselves.
In my own research on strengthbased parenting, it is common for people to wrongly think this approach to be the cause of narcissism. Their argument seems to be that a child who knows their strengths will automatically view themselves as better than everyone else. It is argued that the selfassurance that comes with identifying and using their positive qualities will make a child selfish and uncaring.
Why does this occur? It’s partly because more is known about narcissism than strengths. While strengths psychology has largely stayed within the limit of academic journals, research on narcissism has made its way into the mass media and our daily life.The New York Times noted that narcissism is a favored topic and that people everywhere are diagnosing others with it.
The fear that a strengthbased approach will cause narcissism also occurs because of our binary (非此即彼的) thinking. We mistakenly believe that one cannot be both confident and humble. Without confidence in their strengths, Gandhi and Mother Teresa couldn’t have achieved so much, and yet modesty and selflessness are their qualities.
When we assume that strengthfocus is the same as selffocus, we fail to make the idea clear that people who know their strengths are, actually, more likely to be prosocial and ready to help others.
It’s easy to conclude that every young person is at risk of becoming a narcissist but I’d like to stand up for the thousands of young kids I have worked with who are caring, thoughtful and humble—even when they use their strengths.
1. Which of the following opinions may the writer agree with?| A．To state all kids are potential narcissists is overstating the case. |
| B．Strengthbased parenting results in narcissism. |
| C．It’s unhelpful for us to make our children feel good about themselves. |
| D．Children knowing their strengths tend to be more selfish and uncaring. |
| A．Many people are diagnosed with narcissism by doctors. |
| B．There is a shortage of narcissism in our common sense. |
| C．Academic journals report more on narcissism. |
| D．The general public has fewer approaches to strengths psychology. |
| A．Tolerant. | B．Neutral. | C．Supportive. | D．Doubtful. |
| A．Teens’ Narcissism Diagnosis | B．Teens’ Misunderstood Confidence |
| C．Teens’ StrengthBased Approach | D．Teens’ Psychology Research |
2 . The similarities between elephant and human behaviour have been a curiosity to scientists worldwide. These huge beasts are not so different from us. Their devotion to their family is just as powerful as the friendships between humans. In order to prevent future elephant attacks, people must first understand the similarities between elephants and themselves.
Because deaths are felt so deeply in elephants, memories of people harming or killing elephants are not forgotten. Due to the UgandaTanzania War in Africa, poaching (偷猎) elephants increased during the 1970’s and continued, despite government restrictions. However, ecologists like Eve Abe did not see this as simple poaching; they saw it as a “mass destruction”. Elephants that have witnessed the murder of a matriarch, are more likely to become violent and attack humans. Many aggressive elephants do not act without reasons; they are suffering from Post Traumatic Stress Disorder (PTSD). At their young age, humans invaded their life, killed their parents, and ultimately destroyed their peaceful environment. More and more calves live neglected lives without a mother figure, and have to become a parent early for survival. Humans that have a difficult childhood or early family life also suffer from aggression and pain. Young elephants have been known to have “nightmares”, waking up suddenly and screaming. These are clearly signs of stress, as males grow up to be increasingly hostile (敌对的) to humans and target certain villages where painful experiences have occurred.
Although many see elephants as massive, violent, and simpleminded animals, their social structure is not unlike many human societies. Humans and elephants have been on parallel paths. However, if people continue practising ignorance over the cruel treatment of these creatures, then collision will become inevitable.
Cruel treatment of elephants still goes on, but by understanding the similarities between us, it can be stopped.
1. What is advised to do in order to stop the hostile behaviour of elephants?| A．Take good care of the young elephants. |
| B．Understand the similarities between elephants and humans. |
| C．Carry out the government restrictions. |
| D．Stop harming or killing the group members of elephants. |
| A．A young elephant. | B．A male elephant. |
| C．A strong elephant. | D．A mother elephant. |
| A．Young elephants will grow up to be violent easily. |
| B．Sometimes young elephants are forced to grow up. |
| C．Humans and elephants have the same social structure. |
| D．Elephants attack villages when painful experiences occur. |
| A．Because early family life counts. |
| B．Because signs of stress have to be stopped. |
| C．Because they will be aggressive when they grow up. |
| D．Because humans and elephants are on parallel paths. |
3 . 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. |
4 . 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.
| 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 |
5 . 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 |
6 . To adapt is to move ahead
That was the afternoon when I knew I would never swim. I remembered how my weak neck
Spinal muscular atrophy（脊髓性肌萎缩症）, a genetic disease, causes severe
Swimming had once
When the moment arrived, it was
Like other people with disabilities, I often feel societal pressure to
I had to find other ways to connect with the water and my loss. Swimming is now
Swimming was the first big physical
| A．gave way | B．took place | C．gained ground | D．kept control |
| A．appearance | B．voice | C．body | D．soul |
| A．pain | B．shortage | C．depression | D．weakness |
| A．aimless | B．weightless | C．restless | D．helpless |
| A．said | B．meant | C．offered | D．left |
| A．increasingly | B．barely | C．slightly | D．fortunately |
| A．appeal | B．dream | C．request | D．attempt |
| A．boring | B．encouraging | C．stressful | D．pleasant |
| A．acceptance | B．embarrassment | C．comfort | D．regret |
| A．forgive | B．entertain | C．push | D．defend |
| A．Denying | B．Recognizing | C．Ignoring | D．Forgetting |
| A．significant | B．fantastic | C．available | D．impossible |
| A．effect | B．joy | C．inspiration | D．damage |
| A．disability | B．activity | C．loss | D．advantage |
| A．change | B．miss | C．practise | D．admit |
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 |
8 . Some of our planet’s power pollinators (传粉昆虫) may have originated tens of millions of years earlier than scientists once believed. In a study published July 27 in the journal Current Biology, a team of researchers traced bee family back over 120 million years to the ancient supercontinent Gondwana (冈瓦纳大陆). While looking deeper into bee history, the team found evidence that bees originated earlier, diversified faster, and spread wider than previously suspected, putting together pieces of a puzzle on the origin of these pollinators.
In the study, an international team of scientists would be in sequence and compared genes from over 200 bee species. They then compared these bees with the traits from 185 different bee fossils and extinct fossils to develop an evolutionary history and genealogical model for how bees have historically been spread around the world. The team was able to analyze hundreds of thousands of genes at a time to make sure that the relationships they inferred were correct.
“This is the first time we have broad genome-scale data for all seven bee families,” study co-author and Washington State University entomologist Elizabeth Murray confidently said in a statement. Earlier studies established that the first bees potentially evolved from wasps (黄蜂), transitioning from predators up to collectors of pollen and nectar (花蜜). According to this study, bees arose in the dry regions of western Gondwana during the early Cretaceous period, between 145 million years ago to 100.5 million years ago.
“There’s been a long-time puzzle about the origin of bees,” study co-author and Washington State University entomologist Silas Bossert said in a statement. “For the first time, we have statistical evidence that bees originated on Gondwana. We now know that bees are originally southern hemisphere insects.” The team found evidence that as new continents formed, the bees moved northward. They continued to diversify and spread in parallel partnership with flowering plants called angiosperms. The bees later moved into India and Australia and all major bee families appear to have split off from one another before the beginning of the Tertiary period (65million years ago).
1. What’s the purpose of bee history researchers do research on?| A．To discover the origin of these pollinators. |
| B．To find out some reasonable proofs. |
| C．To know much about our planet. |
| D．To study the life of bee species. |
| A．in danger. | B．in need. | C．in order | D．in favor. |
| A．Unbelievable. | B．Reliable. | C．Positive. | D．Negative. |
| A．The earliest home of bees may be in Gondwana. |
| B．The world’s earliest bees were found in India and Australia. |
| C．The researchers are going on doing research on bee families. |
| D．The researchers get a lot evidence to prove their research. |
9 . Established earthquake warning systems provide at best just a minute or two of notice, leaving little time for preparedness. Decades of searching for a better warning sign-changes in the geochemistry of groundwater, electromagnetic effects in the upper atmosphere, and even changes in animal behavior-have failed. Many question whether such a precursor (先兆) even exists. This situation may change soon, as recent research is providing a glimmer of hope for improved earthquake prediction.
Researchers Quentin Bletery and Jean-Mathieu Nocquet from Cote d’Azur University in France collected data from over 90 earthquakes with magnitudes larger than 7 that had occurred in the past two decades.They focused on GPS station records near these quakes, which accurately captured land movement every 5 minutes with millimeter precision. They analyzed more than 3,000 time series of motion in the 48 hours leading up to the main ruptures (断裂).
They noticed that, in the first 46 hours, the records showed no significant features. However, during the 2 hours before the earthquake, they noticed signs of increasing movement along the fault zones (断层带). Essentially, there’s a slip between plates causing the land above them to move in a measurable, horizontal direction.
Could this be just a coincidence? The probability of this increase happening just before the quake and being unrelated is extremely low, and the researchers confirmed this by analyzing 100,000 random time windows in non-earthquake GPS data. The pattern occurred only 0.03% of the time in non-earthquake data.
While this precursor signal won’t be used for warnings anytime soon, officials from the United States Geological Survey (USGS) admit that this new study provides valuable insights into how to improve their warning systems-GPS data can grease the wheels of early earthquake warnings.
The researchers admit they're still a number of steps away from putting this precursor signal into use, particularly since detecting subtle signals at individual faults requires more GPS stations. But the biggest problem is that many of the world’s earthquake regions have no instrumentation. “We can’t realize the detection at the scale of one earthquake, so we cannot make predictions,” Bletery said.
1. What remains a tough problem for scientists?| A．Determining the magnitude of an earthquake. |
| B．Finding a way to detect earthquakes in early stages. |
| C．Measuring atmospheric changes during earthquakes. |
| D．Identifying animals’ possible responses to earthquakes. |
| A．The chance of main ruptures occurring in fault zones. |
| B．The accuracy of GPS in recording land movement. |
| C．The existence of a two-hour precursory phase. |
| D．The horizontal slip within the first 46 hours. |
| A．Distinguish | B．Contradict | C．Overmatch | D．Facilitate |
| A．The inaccessibility of precursor signals. |
| B．The complexity of updating GPS equipment. |
| C．The challenge of identifying earthquake regions. |
| D．The inconsistent slip patterns of different earthquakes. |
10 . P. H. Hanes, founder of HanesBrands, came up with retail price in the 1920s. That allowed him to use ads in publications across America to discourage distributors from unfairly raising the price of his knitted underwear. Even today many American shopkeepers stick to manufacturers’ recommended prices, as much as they would love to raise them to offset the inflationary (通货膨胀) pressures on their other costs. A growing number, though, resort to more complicated pricing techniques.
Getting retail price right can be tricky. Set prices too high and you risk losing customers; set them too low and you leave money on the table. Retailers have historically used rules of thumb, such as adding a fixed margin (差额) on top of costs or matching what competitors charge. As energy, labour and other inputs go through the roof, they can no longer afford to treat pricing as an afterthought. To gain an edge, shopkeepers have been turning to price-optimisation systems.
At their core are mathematical models that use deal data to estimate price flexibility—how much demand increases as the price falls and vice versa—for thousands of products. Price-sensitive items can then be discounted and price-insensitive ones marked up. Merchants can fine-tune the algorithms (算法) to prevent undesirable outcomes.
These systems are becoming cleverer thanks to advances in artificial intelligence(AI). The latest crop of AI-powered ones can spot patterns and relationships between multiple items. Makers of pricing software are incorporating new data sources into their models, from customers’ tweets to online product reviews, says Doug Fuehne of Pricefx, one such firm. In February Starbucks, a chain of coffee shops, boasted about its use of analytics and AI to model pricing “on an ongoing basis”. US Foods, a food distributor, praised its pricing system’s ability to use “over a dozen different inputs” to boost sales and profits.
What pricing systems do not do is lead unavoidably to higher prices. Matt Pavich of Revionics, another pricing-software firm, calls this misconception “one of the biggest misunderstanding” about products like his. Sysco, a big food distributor which rolled out new pricing software last year, is a case in point. The firm says the system allows it to lower prices on “key value items”—as price-sensitive bestsellers are known in the trade—and raise them on other products. It can thus increase profits by expanding sales while maintaining margins.
1. What does the expression “leave money on the table” in Paragraph 2 probably mean?| A．Do not match the competitor’s prices. | B．Do not maintain a reasonable sales and profits. |
| C．Do not address the pressure on extra expenses. | D．Do not reach an agreement in price negotiation. |
| A．Setting fixed prices for all products. | B．Adjusting prices based on demands. |
| C．Constructing discount models by AI. | D．Capitalizing on customers’ social media data. |
| A．It hits the sweet point. | B．It cuts a long story short. |
| C．It runs counter to its target. | D．It compares apples and oranges. |
| A．Fair or Unfair Price: Not a Question for AI |
| B．Price Setting AI: Maintaining Great Balance |
| C．Retail Price Evolves: From Experience to Science |
| D．Technological Business: Companies Use AI to Set Prices |
