It was a sun-kissed spring afternoon along the beautiful Maryland coast, and Jonathan Bauer, a 51-year-old former firefighter, was enjoying a rare moment with his 13-year-old daughter, Ava. The two of them were heading home across the Route 90 bridge, over the waters of Assawoman Bay.
However, the peace of their drive was suddenly disturbed by the noise of tires and a horrible crash just ahead of them. A black truck was out of control, running into a concrete barrier, and finally coming to rest over the bridge’s railing(栏杆).
In that heart-stopping moment, Bauer hit the brakes in time to avoid the vehicles in his path, narrowly avoiding a crash with the truck ahead. But his heart sank as he saw a red car sliding backward towards him. He turned left, but too late——the car ultimately crashed into the trunk of his car.
Bauer stopped the car. “Ava, are you OK?” he asked. Thankfully, Ava emerged from the chaos, but otherwise unhurt. Bauer, however, couldn’t stand by. Rushing to the red car, he checked on its driver. “Are you OK?” he asked the driver. She nodded, too shocked to speak.
Then, suddenly, a scream of “HELP” cut through the air, coming from the overturned truck. As the truck driver climbed out and pointed toward the water, Bauer raced to his side. In the shallow bay waters below, he spotted a car seat and a terrified two-year-old girl, dressed in a pink dress.
Without hesitation, Bauer instructed Ava to call the ambulance as he removed his shoes. He knew the situation was urgent, and he had to act swiftly to save the baby. He climbed onto the bridge’s railing, preparing to make a jump of faith into the water. He was not sure about his chances jumping from this height into such shallow water. And were there rocks this close to the concrete pillar(柱子) of the bridge?
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。
Bauer jumped into the water.
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As the ambulance left, Ava anxiously turned to her father.
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2 . The cotton harvest is about to get underway in the Texas High Plains, the windswept region that grows most of the crop in the nation’s top cotton-producing state. But Barry Evans, a third-generation cotton grower, has already walked away from more than 2,000 acres (英亩) of his bone-dry fields. “It just didn’t come up. We hardly had anything,” said Evans.
Extreme heat and a lack of rainfall have severely damaged much of this year’s cotton harvest in the U.S., which produces about 35% of the world’s crop. The U.S. Department of Agriculture (USDA) forecast that more than 40% of what U.S. farmers planted in the spring would be abandoned because of drought. Nowhere is this more apparent than the flat, dry stretch of Texas. The USDA says Texas cotton farmers are likely to abandon nearly 70% of their spring planting. That has been the worst harvest since 2009.
The region normally receives around 18 to 20 inches of rain per year, but saw less than three inches of rain from August through the summer, as nearly all of Texas baked under drought. Much of the cotton grown in the region needs rain. Even those with irrigated (灌溉的) fields are expecting low yields (产量) this year.
The losses in cotton could cost the Texas High Plains $1.2 billion after farmers receive federal (联邦的) crop insurance payments, estimates Darren Hudson, director of the International Center for Agricultural Competitiveness at Texas Tech University. That leaves out others who depend on the crop, such as cotton gins (轧棉机) and storehouses. “Any time you have a bad year in cotton, it has a role to play in the overall economy,” Hudson said.
Fortunately, most cotton farmers in this part of Texas plan to use cotton seed varieties that can resist drought. Varieties are continuously developed and will be adjusted to generate high yields if dry conditions continue. “Even though it’s drought resistant,” Hudson added, “we still have to have a little bit of help from Mother Nature.”
1. What are the statistics in paragraph 2 mainly about?| A．The impact of extreme weather on U.S. farmers. |
| B．The world’s cotton distribution. |
| C．USDA’s measures to address drought. |
| D．The amount of U.S. cotton harvest in 2009. |
| A．Texas is unfriendly to cotton farmers. | B．Cotton is vital to the American economy. |
| C．Farmers depend much on Mother Nature. | D．Cotton gins are unaffected by cotton losses. |
| A．Build effective irrigation systems. | B．Apply for federal crop insurance. |
| C．Switch to growing a different crop. | D．Use further improved cotton seeds. |
| A．Drought pushes cotton prices to a new high. | B．The world’s cotton supply keeps falling. |
| C．Texas cotton takes a hit during drought. | D．Drought impacts the quality of cotton. |
3 . A fully automated process, including a brand-new artificial intelligence(Al)tool, has successfully detected, identified(确认)and categorized its first supernova(超新星). Developed by an international organization led by Northwestern University, the new system automates the entire search for new supernovae across the night sky—effectively removing humans from the process. Not only does this rapidly speed up the process of analyzing and categorizing new supernova candidates(候选), but it also bypasses human errors.
The team reported to the astronomical community the launch and success of the new tool．called the Bright Transient Survey Bot(BTSbot), this week. In the past six years, humans have spent an estimated total of 2,200 hours checking and categorizing supernova candidates. With the new tool now officially online, researchers can redirect this precious time toward other responsibilities in order to speed up the discovery.
To detect and analyze supernovae, humans currently work hand in hand with robotic systems. First, robotic telescopes repeatedly image the same sections of the night sky, searching for new sources that were not present in previous images. Then, when these telescopes detect something new, humans take over. The researchers developed the BTSbot to cut out these human middlemen.
To test the BTSbot, the researchers looked to a newly discovered supernova candidate called SN2023tyk. The ZTF, a robotic observatory that images the night sky in a search for supernovae, first detected the source on Oct. 3. Examining ZTF’s data in real time, BTSbot found SN2023tyk on Oct.5. After determining that the candidate was a Type la supernova, the automated system publicly shared the discovery with the astronomical community on Oet.7.
In the first days of running BTSbot, Northwestern’s Nabeel Rehemtulla, who co-led the technology development, felt a mix of nervousness and excitement. “The beauty of it is that, once everything is turned on and working properly, we don’t actually do anything. We go to sleep at night, and, in the morning, we see that BTSbot and these other AIs firmly do their jobs,” he said.
1. What does the underlined word “bypasses” in the first paragraph mean?| A．Causes. | B．Avoids. | C．Reduces. | D．Contains. |
| A．It is simple. | B．It is automatic. |
| C．It is meaningless. | D．It is time-consuming. |
| A．Detecting the supernova. | B．Sharing the supernova. |
| C．Identifying the supernova. | D．Categorizing the supernova. |
| A．He hasn’t had a good sleep for a long time. |
| B．Running BTSbot requires a lot of manpower. |
| C．Researchers benefit greatly from the BTSbot. |
| D．He has no confidence in the success of the test. |
4 . Dementia (痴呆), a serious mental disorder caused by brain disease or injury, affects the ability to think, remember and behave normally. 160,000 people have some forms of dementia in Sweden, Alzheimer’s disease being the most common. At the same time, many new diagnostic (诊断的) methods and early-intervention treatment have been developed in recent years, which highlights the need to identify more risk factors for the disease.
Previous studies have demonstrated a possible association between depression and dementia. A present study now clearly shows that people who have been diagnosed with depression are more likely to be diagnosed with Alzheimer’s disease. Unlike the previous ones, the study was conducted using Region Stockholm’s administrative healthcare database, which contains all healthcare contacts recorded by the region. It shows that the risk of Alzheimer’s disease was more than twice as high in patients with stress and in patients with depression as it was in patients without either condition; in patients with both depression it was up to four times as high.
“The reason for it is unknown,” says the study’s last author Axel C. Carlsson. “The finding is important in that it enables us to improve preventative efforts and understand links with the other risk factors for dementia.”
The researchers focused on patients between the ages of 18 and 65 and between 2012 and 2013. They identified 44,447 people with a diagnosis of depression and followed them for eight years to see how many of them were later diagnosed with Alzheimer’s disease. A comparison with all other 1,362,548 individuals in the age group showed that more people with depression had also been diagnosed with Alzheimer’s disease.
“It’s very uncommon for people in this age group to develop dementia, so we need to identify all possible risk factors for the disease,” says Dr Carlsson. “We show here that the diagnosis is more common in people who have suffered depression, but more studies will be required if we’re to demonstrate any reason there.”
1. What do the previous studies and the present one differ in?| A．The target. | B．The method. |
| C．The purpose. | D．The theory. |
| A．It clarifies the condition of dementia. |
| B．It makes clear the risks of depression. |
| C．It confirms the previous study finding. |
| D．It helps with the dementia prevention. |
| A．Its process. | B．Its background. |
| C．Its application. | D．Its assessment. |
| A．Why dementia spreads wide in Sweden. |
| B．What links exist among mental diseases. |
| C．How depression connects with dementia. |
| D．What other risk factors lead to dementia. |
5 . Imagine taking a flying taxi to the airport, or hopping over crowded city streets at rush hour, getting where you want to go far faster than you could in a car. Believe it or not, you might be able to do these things in an electric air taxi sooner than you think.
An air taxi is a small aircraft that can carry people from place to place. Air taxis don’t need a long runway like planes do. They can go straight up and down, like a helicopter.
In June, the FAA—the government group in charge of America’s skies—agreed to allow a company called Joby Aviation to start testing their new air taxi.
Joby has been making and testing flying taxis since 2017. But this is the first time that they’re testing a taxi that’s been built in a factory. Before that, all their taxis were made by hand.
By 2025, Joby hopes to start carrying passengers for money. They’ve teamed up with Delta Air Lines to create a program to fly people from their homes to the airport. Joby also expects their air taxis to provide a ride-sharing service in the air. Just like you might use an app to order a car to pick you up, you could use an app to order an air taxi.
Compared with helicopters, Joby claims their taxis are cheaper. The company expects to charge about $3 a mile (1.6 kilometers) at first. But over time, they hope to bring the price down to less than $1 per mile.
Joby isn’t the only company to develop air taxis. Companies around the world are working on similar vehicles. France even plans to use a few air taxis in Paris during next summer’s Olympic Games.
But there’s still a lot to do before air taxis become common. For one thing, governments need to make rules about where, when, and how these taxis can fly.
Still, it seems likely that air taxis will be part of the future of travel. The FAA says, “We could see air taxis in the skies by 2024 or 2025.”
1. What do the underlined words “hopping over” in paragraph 1 mean?| A．Moving below. | B．Walking across. | C．Jumping into. | D．Flying over. |
| A．They are factory-made from the start. |
| B．They were developed several years ago. |
| C．They will offer service to passengers through the FAA. |
| D．They will be used during the next Olympic Games in Paris. |
| A．Joby’s plan about air taxis. | B．The history of Joby Aviation. |
| C．Air taxi team’s service promises. | D．Instructions for using a new app. |
| A．They are more comfortable. | B．They are more intelligent. |
| C．They are cheaper. | D．They are faster. |
1. Who is the main audience for the announcement?
| A．Soccer players. | B．Parents of soccer players. | C．The youngest soccer players. |
| A．They are too young to play. |
| B．The transportation will be arranged by the speaker. |
| C．There aren’t enough players to make teams. |
| A．Some insurance. | B．Some reservations. | C．Some paperwork. |
| A．His name is Steve. | B．His child plays soccer. | C．He is a soccer coach. |
7 . As a saying goes, you’re only as old as you feel, but what if different parts of your body aged at different speeds? It turns out they do. The study about the age of our bodies shows that different tissues inside us are effectively different ages. In 2012, Professor Steve Horvath at the University of California, Los Angeles, looked at something new—DNA methylation (甲基化), a naturally occurring process in which DNA is chemically changed over time.
Horvath analyzed the DNA in 8,000 tissue samples from different parts of the body in different people to study these markers. What he found was striking—the amount of methylation in cells from most parts of the body was a good predictor of the person’s age. But there were inconsistencies. Breast tissue, for instance, ages rapidly, whereas muscle ages slowly. The rates of ageing are also different in men and women. “There are many medical implications, from cancer to premature ageing diseases,” says Horvath. It has already been established that tissue that looks significantly older could be cancerous. Horvath’s study found that cancerous tissue has a biological age on average 36 years older than a subject’s actual age.
Could this knowledge help us live longer? “If the markers relate to a process that causes ageing, then it would be theoretically possible to slow down ageing by carefully targeting DNA methylation,” says Horvath. But before scientists got to work on dealing with methylation, they first needed to establish whether these changes were the cause of ageing or just a byproduct of another process. Now, a 2023 study from the University of Michigan has backed up Professor Horvath’s findings, which means they can safely make further studies of methylation.
“Our main aim was to see whether biological age acceleration measured from DNA methylation was predictive of health outcomes and death,” said research associate professor Jessica Faul. “It turned out that it is largely the case. You can use certain DNA methylation markers to predict age and age-related outcomes quite well.”
1. What is the purpose of the first paragraph?| A．To lead in the topic of the text. | B．To summarize the whole text. |
| C．To offer suggestions to readers. | D．To stimulate readers to imagine. |
| A．It helps people live much longer. | B．It doesn’t always predict one’s age. |
| C．It exists in some parts of one’s body. | D．It causes the different rates of ageing. |
| A．Consulted. | B．Contradicted. | C．Approved. | D．Predicted. |
| A．Avoidable. | B．Unrealistic. | C．Risky. | D．Potential. |
8 . Can you name a famous elephant? Babar, perhaps? Or Dumbo? Though these names may be memorable to humans, they sound nothing like the names elephants give each other. “If you’re an elephant, your name is something more like a low, rumbling sound (隆隆的声音),” scientists say. Researchers have found that African elephants emit sounds in response to individuals in their social group, and the receivers respond accordingly.
Researchers recorded 527 elephant calls in northern Kenya and 98 calls in southern Kenya. They then distinguished which members were separated from the herd at the time of each call, or which members were close to the herd. Researchers correctly identified the receivers of 20.3% of the 625 recorded calls. This marks a step forward in understanding how these highly intelligent animals communicate.
“There’s a contact rumble, an anti-predator rumble and a greeting rumble. If you look at a spectrogram (声谱图) with your eyes, they all look almost exactly the same,” said Caitlin O’Connell-Rodwell, an elephant biologist at Harvard Medical School. “That’s why artificial intelligence(AI)has been exciting. It allows us to really figure out what the elephants are saying.”
As it turned out, the calls were distinct to the receivers. Even calls from different callers to the same receiver were similar. The pattern was less obvious than it was between a single caller and his or her receiver. This may be because rumbles encode multiple messages at the same time, so the AI system in computer model may not have been able to pick out the “name” used in each call. “It just highlights the complexity of what’s going on. And we’re not skilled enough in these measurements to figure out what’s going on,” said Caitlin.
However, the research shows how elephants are navigating through a large landscape and can still keep in touch with specific individuals. It allows them to spread out much further and still have very close tabs on individuals, not just the group.
1. What can we infer from paragraph 1?| A．Elephants seem to have their own names. |
| B．Elephants’ sounds differ from other species. |
| C．Elephants’ names sound exactly like humans’. |
| D．Elephants’ names sound different from each other. |
| A．By grouping the elephants based on intelligence. |
| B．By observing the elephants’ reactions to the calls. |
| C．By analyzing the relationship within the elephants. |
| D．By copying the elephants’ voice to call their names. |
| A．Simplifying the process. | B．Creating a spectrogram. |
| C．Letting out various rumbles. | D．Making out each rumble. |
| A．How do elephants contact each other? | B．Why do elephants make their voice? |
| C．Do elephants name one another? | D．Do elephants like to be called? |
9 . 阅读下面短文，在空白处填入1个适当的单词或括号内单词的正确形式。
Plant lovers believe that talking to plants helps them grow. Scientists have discovered there could be real
The research
10 . 阅读下面短文，在空白处填入1个适当的单词或括号内单词的正确形式。
As artificial intelligence products steadily improve at pretending to be human, people will increasingly be put in the unsettling situation of not knowing
The study used a game in
“Sadly, we failed at this goal,” says Talal Rahwan, a senior author on the paper,
It seems that there is a long way to go before trust in robots is established.
