2025年高考单科综合模拟信息卷(六)英语答案-2025金太阳答案网

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At first,due to the high-altitude working environment,Pan found it extremely difficult toadapt,feeling as if her "feet were about to break".Through methods such as lying down andelevating her feet,she repeatedly adjusted herself,eventually overcoming her "fear of flying".Now,she is a cabin crew chief and also works as a medical theory instructor in the cabin departmentof West Air.Thanks to her previous medical knowledge and experience in healthcare,she has helpedpassengers in emergencies in a number of cases,and gained recognition from the individualsinvolved.Her colleagues say flying with her is"more reassuring".Pan said that no matter how her professional role changes,her awareness of serving the publicwill not change."As long as I can better serve the passengers,I'm fulfilling my dream,"Pan said.24.What planted the dream to be a flight attendant in Pan's heart?A.Her living experience under a flight path.B.The culture of her hometown city Chongqing.C.The older generation's suggestion in her family.D.A story about a flight attendant on the Internet.25.What can be known about Pan's becoming a flight attendant?A.Her age worked to her advantage.B.It took place immediately she graduated.C.It was a smooth and easy process of selection.D.Her previous medical experience contributed to it.26.How did Pan overcome her fear of high altitude?A.By learning medical theories.B.By turning to a cabin crew chief.C.By consulting medical instructors.D.By taking some adaptive exercise.27.What message is conveyed in the text?A.It's never too late to pursue your passion.B.You are unstoppable with a kind heart.C.Exercise eases most problems in life.D.It never fails you to serve the public.With the help of Artificial Intelligence (Al),scientists have discovered a new drug,which canbe used to treat the drug-resistant bacterium commonly known as MRSA.It is a superbug infamouslydifficult to treat.Finding an effective treatment is vital-currently over 35,000 people a year diefrom the infection.While many people harmlessly carry the bacterium on their skin,it becomesdangerous when patients catch it through open wounds.Using a deep-learning algorithm(算法)，AI was able to identify new compounds(化合物)andto predict how the compounds would work against MRSA.The scientists involved in the discoverywere able to observe how the AI systems learned,and to apply it to their findings.James Collins,aprofessor of Medical Engineering and Science at MIT,says,"The insight here was that we could seewhat was being learned by the models to make their predictions that certain molecules would makefor good antibiotics."Typically,most Al deep-learning systems are referred to as "Black Box",as its reasoning andlogic are not available to operators partly due to the complex way that AI systems learn byprocessing extremely large datasets and following patterns.This meant that while the AI systemcould tell the researchers what bacteria could be effective,the researchers couldn't understand howthe Al system came to this conclusion.In order to get around this issue,the researchers adapted an

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