We moved to a small seaside community in New Zealand 10 years ago, because my husband Phil worked as a biologist and he had to do research near the sea. I had seen seals (海豚) around Pilot Bay, which is near here. Sometimes you see them out on the rocks, sunning themselves or playing-but usually in their own territory. They never thought about disturbing their neighbors.
It was a dark winter morning in August this year when a seal came. At 5:50 a.m., I left the house to go fitness training. I went down to the car parked in the driveway and heard a growl (咆哮). I thought our cat, Coco, must have chased a dog under the car. I jumped into the car to avoid getting my ankles bitten, and moved slowly, but then I felt the car hit something. When I got out to have a look, I couldn’t see anything and thought it must have moved on. Then when I got back into my seat, I saw a baby seal in the headlights.I thought, Oh, my God, “but didn’t panic—the ocean is just down the driveway and I thought it would find its way back. Off I went to the training center and gave everyone there a laugh when I said, “Sorry I’m late; there was a seal under the car.” I didn’t think about it again until I got home. As I walked through the garage (车库), I noticed our baskets had been moved. I wondered if it was the seal, but then I guessed it could not be the seal because I didn’t think it could fit through the cat door, which was the only way into the garage. But I was wrong. As I opened the door to the house, I brushed something and heard this flip-flip-flip-flip sound, and thought, “My God, that is the seal.”
注意:1. 续写词数应为150左右;2. 请按如下格式在答题卡的相应位置作答。
It was so cute like a lovely soft toy.
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________We called Animal Protection Station, and a worker came over.
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________A.observed | B.observing |
C.having observed | D.not observing |
A.how often Mrs.Black visits her mother |
B.when did Mrs. Black come down with a horrible cold |
C.where Mrs. Black had gone |
D.what did Mrs. Black eat prior to going to bed |
My uncle is a successful businessman. One day, he invited me to have a dinner with one of his clients (客户) to discuss about future cooperation between them, during which he received a call. Then to everyone’s shock, he asked the waiter to check out and put an end to the trade with the client. I felt very confused. After all, it was a deal of one billion. When we got home together, he solved my doubt and told me a story about an expensive “school fee” he had paid for his dishonesty.
It was 15 years ago when he decided to return to his homeland to start a company after having got a PhD degree. Before leaving the country where he had studied for 5 years, he bought himself a Rolex watch with the savings made through years of part-time jobs and the scholarships he had got. At the airport, as was often the case, he had to accept the custom check. Of course, the watch on his wrist was on the list of things to be checked. Remembering that carrying things like this should pay some tax and worried about paying for his watch, he lied to the custom officer, “My watch is only a worthless fake (假货).”
“OK. I see.” said the custom officer and at the same time, in the presence of my uncle, he began to hit the watch heavily. “No!” Before my uncle woke up from his “smart”, the watch which cost nearly ¥100,000 had changed into pieces. “Why?” Shocked and not knowing the reason, my uncle was taken to the office for further examination.
Without finding any suspicious items, the officer let him go but warned, “Never use or carry the fake again, or you will be fined according to the law.”
My uncle continued, “Now, you see, my secretary called me saying the client used the fake to trade with X company one month ago. Such a dishonest man doesn’t have the qualification to cooperate with me.”
注意:1.续写词数应为150左右;
2.请按如下格式在答题卡的相应位置作答。
Hearing my uncle’s story, I was lost in thought.
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From the story, I know I was wrong.
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1.调查现状描述;2.简单评论;3.你的观点
Rich resources | 75% |
Learning time is not limited | 43% |
Other benefits | 27% |
The benefits of online learning
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6 . The Food and Drug Administration (FDA) has to recall hundreds of foods every year. Like cookie snack packs with pieces of blue plastic hiding inside, dressing and sauce containing salmonella (沙门氏菌) or various jams containing with lead (铅).
It can take a few months before a recall is issued. But now researchers have come up with a method that might fast-track that process, leading to early detection and, ultimately, faster recalls. The AI system relies on the fact that people increasingly buy foods and spices online. And people tend to write reviews of products they buy online, which are like bread crumbs (包屑) to food-safety officials sniffing (嗅) out dangerous products.
The researchers linked FDA food recalls from 2012 to 2014 to amazon reviews of those same products. They then trained machine-learning algorithms (算法) to distinguish between reviews for recalled items and reviews for items that had not been flagged. And the trained algorithms were able to predict FDA recalls three quarters of the time. They also identified another 20, 000 reviews for possibly unsafe foods, most of which had never been recalled. The results are published in Journal of the American Medical In formatics Association.
The World Health Organization estimates that 600 million people worldwide get sick annually from polluted food, and more than 400,000 people die from it. “Sohaving tools that enable us to detect this a lot faster and hopefully investigate and do recalls faster will be useful not just in the U. S. but in other countries around the world as well.” Study author Elaine Nsoesie of Boston University. She did add one warning even recalled products can still get five-star reviews. So stars alone don’t tell the whole sickening story. The proof unfortunately, may still be in the pudding.
1. What will help Fda recall unsafe foods faster than before?A.Efforts of food-safety officials |
B.Lots of online reviews of products |
C.New measures of food-safety officials. |
D.Online reviews of the polluted foods |
A.By describing facts. | B.By giving examples |
C.By analyzing data. | D.By making comparisons. |
A.Tolerant | B.Skeptical | C.Ambiguous. | D.approval |
A.AI Sniffs out Unsafe Foods |
B.FDA Detects Unsafe foods |
C.AI Helps FDA Judge Reviews |
D.FDA Develops System of Judging Reviews |
World leaders at the 5th meeting of the United Nations Environment Assembly (UNEA) agreed that by 2024, they would create and sign a new treaty on plastics. The new treaty would create international laws
Because plastic is useful for so many purposes, it has become a part of nearly all areas of our lives. It’s hard to look anywhere without finding dozens of
The United Nations Environment Program (UNEP) reports that
Plastic gives off dangerous gases when it’s made and also when it’s burned or buried in the ground. Scientists say plastics are responsible
Plastic doesn’t “decompose (腐烂)” like natural materials. Instead, it just breaks into smaller and smaller pieces. And as the plastics
Microplastics are so tiny that
8 . What Is the Metaverse (元宇宙) Tech Companies Aim to Build?
You may have heard the term metaverse to describe a new virtual world that major technology companies aim to develop. The word is a combination of the prefix meta—which means beyond—and verse, which relates to the universe.
The main technologies that would drive such a world would be VR, and augmented reality (AR).
A company has invested much money in VR and AR technologies to create the most realistic virtual interactions possible.
With the help of AR gasses, individuals might be able to see a large amount of information pass before their eyes while moving around in a city. This could include traffic and pollution data, information on he natural environment or local history.
A.People linked to the metaverse would be connected a all times. |
B.Such a system could one day be used with headsets in a metaverse. |
C.It has also created a new team to specially develop metaverse products. |
D.A metaverse environment might look a lot like many of the online video games. |
E.The term appeared in the 1992 science fiction book written by Neal Stephenson. |
F.Other yet-to-be invented technologies would likely also be used to improve experiences. |
G.However, most predictions for a future metaverse see the technology going much further. |
9 . Savanna Lorpu Karmue, 11, is a student, author, activist, and possibly one of our next great cardiologists (心脏病学家). Her inspiring story started with her favourite Sunday school teacher who was about to have a (n)
She
A.training | B.appointment | C.lecture | D.operation |
A.persuaded | B.visited | C.consulted | D.cured |
A.explanation | B.appreciation | C.affection | D.expectation |
A.Moved | B.Forced | C.Begged | D.Encouraged |
A.dying | B.learning | C.suffering | D.benefiting |
A.began | B.avoided | C.admitted | D.denied |
A.ways | B.dreams | C.love | D.money |
A.food | B.reports | C.education | D.statistics |
A.speaker | B.doctor | C.performer | D.hostess |
A.abstract | B.extra | C.brief | D.practical |
A.limit | B.reduce | C.apply | D.compare |
A.impressed | B.confused | C.honored | D.protected |
A.influence | B.generosity | C.knowledge | D.power |
A.commenting on | B.working on | C.showing off | D.putting off |
A.preserve | B.process | C.deliver | D.purchase |
A.graduate; graduating | B.graduation; graduating |
C.graduation; graduate . | D.graduate; graduation |