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I was eating bhindi roti, my favorite Indian snack, which my mom had packed for me. But feeling embarrassed for having a "smelly" lunch and wanting to fit in, I quietly shut my lunchbox. That day, I went hungry.

Most days after that, lunchtime at school felt like a battle. If I wasn't trying to hide my lunch or sneak quick bites when no one was looking, I'd insist on bringing in the same peanut-butter-and-jelly sandwich as the other kids. My mom, who didn't grow up eating American food, tried her best, but the sandwiches never looked, or tasted, as good as the food Idevoured at home.

I didn't know that I wasn't alone. Many kids with immigrant parents encounter (遭遇) what's known as "the lunchbox moment" at school: the experience of being judged for bringing in food considered culturally different and so being made to feel like an outsider.

For this article, I talked with kids who could relate. But they also surprised me: They dealt with "the lunchbox moment" differently than I did. For example, Satya Singh, 6, who takes her mom's Indian cooking to lunch most days, told me that one day a classmate said that her aloo, or potatoes, looked like poop. Another time, someone said that the dal, or lentils, looked like "throw up". The next day, Satya brought enough dal to share with her entire class — and they loved it. From then on, she says, "My teacher at school made a rule: Don't yuck someone's yum."

Looking back, I wish I'd had the wisdom of Satya and offered my friend a bite of my lunch, or just told her it was delicious — especially because now, as an adult, I see that Indian food is universally loved by my friends. Some even try to cook Indian lentils or chickpeas at home! And when I'm hungry, guess what? I miss my mom's bhindi roti and her care in making it for me. Food is an expression of culture, tradition, family and love. And that's something to celebrate, not hide.

Aaron Judge

New York Yankees, outfielder

Aaron Judge's power has made him one of the top promising young players in the majors. He still needs to cut down on his strikeouts (三击未中出局), but the Yankees think he is worth the wait.

"He obviously struggled with the strikeouts," says Brian Cashman, Yankees general manager. "Part of the process was to get him up here and get the growing pains out of the way and speed up the adjustment process."

Dansby Swanson

Atlanta Braves. shortstop

When you watch Dansby Swanson play, it's easy to forget the 22-year-old stated last season in the minor leagues. His performance was so good that he was chosen for the 2020 All-Star Futures Game, a showcase of the best minor-league players. Last August, the Braves called him up to the major. Speed and flexibility was what the team wanted. And that's exactly what Swanson provided as he finished out this season playing like a high-level player.

Alex Bregman

Houston Astros, third baseman

Imagine playing one position in the minor leagues and then finally getting called up to the majors, only to be told you'll be in a position you've rarely played. That's exactly what happened to Alex Bregman when he switched from shortstop to third base last season.

Astrons manager A. J. Hinch says Bregman's competitive spirit and unselfishness made the position switch easy for this young man.

Julio Urias

Los Angler Dodgers, pitcher (投手)

When 20-yearold Julio Urias started Came 4 of the National League Championship Series last full against the Chicago Cubs, he was the youngest pitcher to start a playoff (季后赛) game in Major League Baseball (MLB) history.

"His biggest improvement has been fastball command," says Gabe Kapler, director of player development for the Dodgers. "He in very clever and understands what he has to do to be successful."

Climate change is becoming one of the biggest threats to frogs and other amphibians, according to a major study published Wednesday in the journal Nature. Between 2004 and 2022, rising temperatures became the primary reason why more than 100 amphibian species were slipping toward extinction.

The spread of disease among frogs and the destruction of their habitats have long been recognized as reasons why many amphibians are decreasing. But this new study establishes climate change as a major risk for amphibians around the world, too. The soft-skinned animals lack the fur and feathers to help adjust their temperature in this hotter and more drought-stricken world.

Less attention is paid to frogs and other amphibians compared to more well-known groups like birds. But losing amphibians would be disastrous because they often act as a key link in the food web of ecosystems, wolfing insects down and, in turn, being eaten by larger predators (捕食者)."Without those amphibians to fill that role, we will see the breakdown of this food web," said Neam, who works for an Austin-based environmental group.

Luckily, habitat protection and other conservation measures have been taken to help recover more than five dozen amphibians from Costa Rica to Malaysia. "It's not all bad news," said Jennifer Luedtke, an amphibian group leader of the International Union for Conservation of Nature. "But we really must build on this improvement and significantly increase investment in amphibian conservation."

1. 推荐一门中国传统艺术并简述理由；2. 提出相关的学习建议；3. 你的祝愿。

注意：1. 词数80左右；2. 可适当增加细节，以使行文连贯。

Dear Tom,

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Yours,

Li Hua

Apollo was born in Burkina Faso, a country in Africa. It actually means "The Land of Honest People". He has always valued the virtue of honesty and he brought it with him when he opened a restaurant in the United Kingdom three years ago. He believes that there are honest people everywhere.

On a regular weekend, customers were pouring in by the thousands, and service was going smoothly. Midway through that busy weekend, three guys entered through the restaurant's door, evidently looking for seats and some food. It's possible that they arrived from out of town. There was a difference in their accents at the very least.

"Can we be served quickly? We have to catch the train." said one of them to a waiter.

It didn't take long for them to be served by the waiter. They enjoyed every bite. After the quick but delightful meal, the three friends were ready to pay the bill for their food. The entire cost of the food was £35. As the waiter approached their table, they gave their credit cards over. They were caught by surprise, however, when the waiter told them they could only pay in cash. After that, the waiter moved to another table to take orders.

When the waiter came back to collect their cash payment again, he found the three guys had gone missing without paying for their food. As a result, the waiter had no choice but to call Apollo, who was on holiday with his family.

When the waiter described what had happened, Apollo was extremely confused. He couldn't understand how, in today's world, a group of friends could walk into a restaurant, eat their meals, and then leave without paying. After a few days, there was still no sign that the three gentlemen would return to pay for their meal. Two weeks later, Apollo received an unexpected package. Obviously, it was sent by the three men.

注意： 1. 续写词数应为80 左右；

2. 请按如下格式作答。

After he opened the package, he believed again that there were honest people everywhere. ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

1.活动过程；

2.活动感受。

注意：

1.写作词数应为80左右；

2.请按如下格式在答题卡的相应位置作答。

Dear Jackson,

________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

Yours sincerely,

Lihua

Chinese Structural biologist Yan Ning, an outstanding female scientist, announced on November 1st, 2022 that she would resign from Princeton University in the US and join in the establishment of Shenzhen Medical Academy of Research and Translation(SMART).

"In the near future, I will return to China full-time to assist in establishingnew research and development institution in Shenzhen, is called SMART, combining several functions including scientific research, transformation, student development and    (finance) support together." Yan said at the Shenzhen Global Innovation Forum of Talents.

While (teach) at Tsinghua University in 2014, Yan Ning, with her team, spared no effort (analyze) the three-dimensional crystal structure of the human glucose transporter GLUTI the first time. When the achievement (publish) in Nature, it immediately received widespread attention and praise from the international academic community.

Yan earned her Ph.D. at Princeton in 2004 returned in 2017 as the first Shirley M. Tilghman Professor(雪莉·蒂尔曼终身讲席教授) of Molecular Biology. Yan said she wanted to support more outstanding scholars and tackle the various health (threat) facing mankind. She also said that Shenzhen offered the right opportunity, and the city could build (it) place in the global biomedicine field.

Poor Kim lost his left arm in a terrible accident and was2. To cheer him up, his father made him join a judo (柔道) club. As the boy always wanted to learn judo, his father thought this would make him3.

Everyone wondered how a single armed boy could learn judo.4, the master happily accepted him. Kim practised nothing but a single stroke (一击). He was trained for all 8 months to master the single stroke. The boy was5 and sometimes annoyed as his master taught him only one stroke.

Yet, he said nothing. The boy mastered the stroke and grew in confidence as nobody could do that particular stroke better. The boy was6 by the master to compete in a judo championship tournament. Everyone7 Kim and his master. Even the boy was not sure why his master had chosen him.

To everyone's surprise, Kim easily8 six competitors with his single stroke. He struggled a bit in the semifinals but managed to win the match. Then the final match began. The opponent (对手) was very strong and the referee (裁判)9 with Kim's master about stopping the match as he feared the opponent could harm Kim. However, his master10 and told Kim to continue the match. With a huge effort, Kim11 the match.

Kim thought it was12 and asked his master how he had become a champion. His master told him, "My dear boy, you learned the most13 stroke in judo that very few can master to perfection. If your opponent wants to beat you and14 you from using the stroke, they should hold your left arm. This was the secret behind your victory!"

If the boy turned his weakness, the loss of his left arm, into such a great15, why can't we?

The ability to predict the future is a rare talent. American author Isaac Asimov (1920—1992), one of the great science fiction writers of his age, had such a talent. Now that we're here, let's see what he got right.

Asimov thought computers would cause a revolution comparable to the induatrial revolution of the 19th century. Specifically, he said that "mobile computerized objects" would be an important part of everyday life. Here, he clearly predicted our world of smartphones, tables and other devices. He also had a great deal to say about space exploration.

How did Asimov develop his special sense of future developments? He read the newspapers and magazines sold in his parents' candy store. His scientific interest gained sharper focus at Columbia University in New York. Asimov went to study chemistry, but became bored with pure laboratory science. Instead, he thought hard about the social implications(作用) of science. He wanted to communicate his ideas to the public.

Asimov had his finger on the pulse(脉搏)of both scientific and social change. He had a clear vision of what was coming around the corner for humanity in his works like the Galactic Empire series(《银河帝国系列》). "His predictions are absolutely fascinating," Calum Chase, an English writer, told BBC News. "He was a genius."

A. As a smart boy, Asimov taught himself to read at the age of five.

B. Space exploration really can make our life more convenient and comfortable.

C. Back in 1983, he was asked to predict what the world would look like in 2019.

D. On the role that computing would play in the future, he was amazingly accurate.

E. Asimov has developed a great interest in computer programming since childhood.

F. As an author, his books would feature the theme of social change caused by technology.

G. The International Space Station proves his prediction that we would not simply visit space but seek to stay there.

While improvements in education are forecast to reduce dementia cases by 6.2 million in2050, researchers said this would be canceled out by trends in obesity. high blood sugar and smoking, which are estimated to cause an additional 6.8 million cases, the Guardian reported.

Risk factors for dementia also include stress, depression, physical inactivity, diabetes, heavy alcohol consumption, head injury, exposure to air pollution and low education, researchers said.

The rate of dementia is estimated to rise in every country, ranging from a 1,926% increase in Qatar to a 27% increase in Japan, while dementia cases in the U.S. are expected to increase by about 99.67%.

Researchers estimated that dementia cases would increase by roughly 117% by 2050 due to growth of the elderly population alone, a factor forecast to have the severest impact in East Asia. To reduce the risk of dementia, policymakers must support low-cost programs promoting exercise, a healthy diet and quitting smoking, lead author Emma Nichols，a researcher at the University of Washington's Institute for Health Metrics and Evaluation, told the Guardian.

Dementia is a syndrome(综合症),usually progressive, which harms memory and other functions of thought beyond what would usually be expected from aging. Though dementia can result from Alzheimer's disease or a stroke, it is not an unavoidable consequence of aging, the World Health Organization said. A 2020 study published by the Lancet suggested that low education might be a risk factor for dementia, because improved health education helps decrease the risk of head injury or of too much alcohol drinking. $818 billion is the annual global cost of treating dementia，the WHO estimated in 2017.Famous figures who were diagnosed with dementia include actress Rita Hayworth, actor James Stewart, former President Ronald Reagan and former UK Prime Minister Margaret Thatcher.

It raises a troubling question for all of us—when will a machine be able to do my job? Katja Grace, a research associate at the University of Oxford's Future of Humanity Institute, and her colleagues from the AI Impacts project and the Machine Intelligence Research Institute, have surveyed 352 scientists and compiled (汇集) their answers into predictions about how long it may take for machines to outperform humans on various tasks.

The good news is that many of us will probably be safe in our jobs for some time to come. The researchers predict there is a 50% chance that machines will be capable of taking over all human jobs in 120 years.

"One of the biggest surprises was the overall lateness of the predictions," says Grace. "I expected the amazing progress in machine learning in recent years, plus the fact that we were only talking to machine learning researchers, to make the estimates earlier."

"I am a bit sceptical of some of the timelines given for tasks that involve physical manipulation (操纵)," says Jeremy Wyatt, professor of robotics and artificial intelligence at the University of Birmingham. "It is one thing doing it in the lab, and quite another having a robot that can do a job reliably in the real world better than a human."

Manipulating physical objects in the real world—figuring out what to manipulate, and how, in a random, changing environment—is an incredibly complex job for a machine. Tasks that don't involve physical manipulation are easier to teach.

Perhaps the hardest jobs for machines to perform are those that take years of training for humans to excel at. These often involve intuitive (直觉的) decision making, complex physical environments or abstract thinking—all things computers struggle with.