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题型:阅读理解 题类:常考题 难易度:普通

江西省南昌市第二中学2018-2019学年高一下学期英语第二次月考试卷

阅读理解

    “Who made your T-shirt?” A Harvard University student raised that question. Piertra Rivoli, a professor of business, wanted to find the answer. A few weeks later, she bought a T-shirt and began to follow its path form Texas cotton, to Chinese factory and to charity bin (慈善捐赠箱). The result is an interesting new book, The Travels of a T-shirt in the Global Economy.

    Following a T-shirt around the world in a way to make her point more interesting, but it also frees Rivoli from the usual arguments over global trade. She goes wherever the T-shirt goes, and there are surprises around every corner. In China, Rivoli shows why a clothing factory, even with its poor conditions, means a step towards a better care for the people who work there. In the colorful used-clothing markets of Tanzania, she realizes that, “it is only in this final stage of life that the T-shirt will meet a real market,” where the price of a shirt changes by the hour and is different by its size and even color. Rivoli's book is full of memorable people and scenes, like the noise, the bad air and the “muddy sweet smell of the cotton,” she says. “Here in the factory, Shanghai smells like shallow water Texas.”

    Rivoli is at her best when making those sorts of unexpected connections. She even finds one between the free traders and those who are against globalization. The chances opened up by trade are vast, she argues, but free markets need the correcting force of politics to keep them in check. True economic progress needs them both.

(1)、What do we learn about Professor Rivoli?
A、She used to work on cotton farm. B、She wrote a book about world trade. C、She wants to give up her teaching job. D、She wears a T-shirt wherever she goes.
(2)、By saying T-shirt "meet a real market", Rivoli means in Tanzania _______.
A、cheaper T-shirts are needed B、used T-shirts are hard to sell C、prices of T-shirts rise and fall frequently D、prices of T-shirts are usually reasonable
(3)、What does the word "them" underlined in the last paragraph refer to?
A、Free markets. B、Price changes. C、Unexpected connections. D、Chances opened up by trade.
(4)、What would be the best title for the text?
A、What T-shirts Can Do to Help Cotton Farms B、How T-shirts Are Made in Shanghai C、How T-shirts Are Sold in Tanzania D、What T-shirts Can Teach Us
举一反三
阅读理解

    More than loo genes are related with increased risk of developing schizophrenia(精神分裂症),bipolar disorder (躁郁症)and alcoholism(酗酒),confirms a large study published in the recent issue of the British scientific journal Nature.

    The world's largest study into the genetic basis of mental illnesses was led by researchers from British universities,including University College London (UCL),Cardiff University and King's College London (KCL).

    Researchers believe that they are now much closer than before to understanding the complex biological causes, which make some people being at high risk of developing mental illnesses.They also believe that these findings could lead to new treatments.

    The researchers analyzed the DNA of about 37,000 patients with schizophrenia,bipolar disorder or alcoholism, and compared the smallest genetic changes to those found in about 113,000 healthy people.They then identified about 128 independent genetic variants(变体)at 108 locations on the human chromosomes(染色体)that contribute significantly to developing schizophrenia—83 of these sites have never before been linked to the illness,according to scientists.

    For example,people with the variant of the GRM3 gene,thought to be important in brain signaling,are around 2 to 3 times more likely to develop schizophrenia or alcohol dependence.The variant,which is found in approximately one in every 200 people,is also associated with a three times risk of developing bipolar disorder.

    "We could be looking at the next big drug target for treating mental illness,"Professor David Curtis from UCL, co-author of the paper,said."The work opens up new ways to prevent and treat mental illnesses by revealing the mechanisms involved in their development."

阅读理解

    My husband David was waiting at the door when our daughter Laura and I pulled in the driveway. It wasn't like him to be home so early. The disbelief on his face told me that something was up.

    "Do you still have a job?"

    "No. Redundant," he answered, looking away from me.

    "OK. We'll figure it out," I replied calmly.

    I actually had no idea how we were going to figure it out. I immediately started to think of how we'd cut costs and who we should start to get in touch with. That night, after David had fallen asleep, I cried myself to sleep, and frequently sobbed in the shower in the days that followed.

    I knew the loss of David's income would have great effect on us. He had worked for the same insurance company for twenty-one years and was our main income. I work at home caring for Laura, and my freelance(自由职业者的)income is uncertain. We have debts, and job hunting takes time.

    Still, I was more concerned about my husband's emotional state than our financial situation. David's sense of identity was tied to his job. He called his parents to tell them about losing his job, but didn't say a word to anyone else for weeks. He told me that he felt like "a failure".

It was tough for me to watch David struggle with unemployment. One night a couple of weeks after he lost his job, David woke me just before midnight, sweating, pacing the bedroom floor and saying he felt funny. We spent the night in the emergency room waiting to see if he had a heart attack. Thankfully, it was just a serious anxiety attack. It was then that I knew I needed to do more to understand what my husband was going through. Here is what I learned from my own experience—and from talking to experts—on how to support your spouse through a job loss.

阅读理解

    Can you imagine a world without music?Studies show that public schools across the country are cutting back on music classes to save money. Worse, some schools have never had music classes to begin with. But without them, students' academic growth and emotional health could suffer. In fact, music classes are necessary for all students in schools.

    Recent studies by Brown University have shown that students who received music education classes were better in math and reading skills than those without music classes. Another study by The College Board found that students taking music and art classes got higher points. Students' academic success seems to depend on their taking part in music education.

    Music programs in public schools also help to add to a student's sense of pride and self-confidence. Teens today have too many learning tasks. Besides, they have family problems, self-confidence problems, relationship troubles, and choices about drugs and alcohol. All of these can stop academic success, but music education can help. A study by The Texas Commission on Drug and Alcohol Abuse found that students who took part in school music programs were less likely to turn to drugs. Music programs encourage students to work together to produce an excellent performance.

    Music crosses language, class, cultural and political boundaries (界限). Music allows students from different countries to connect. For example, at a school talent show, a new Japanese student played a piano duet (二重奏) with an American classmate. Although they could not communicate verbally (口头上), they were able to read the music in order to play the duet. Two students from different cultures worked as a team with self-confidence and common purpose through music.

    The gift of music is priceless. We need to be sure to have necessary music classes for all students. The world is losing its music, and putting music into schools is the first step to get it back.

 阅读理解

Livestreaming (直播) through platforms such as Amazon Live and TikTok is an increasingly popular way to sell goods online. It usually lasts between 5 and 10 minutes, and someone promotes a product. Viewers can then readily buy it by just clicking on a link.

We analyzed (分析) 99, 451 sales cases on a livestream selling platform and matched them with actual sales cases. In terms of time, that is equal to over 2 million 30-second television advertisements.

To determine the emotional (情绪的) expression of the salesperson (销售员), we used two deep learning models: a face model and an emotion model. The face model discovers the presence or absence of a face in a frame of a video stream. The emotion model then determines the probability that a face is exhibiting any of the six basic human emotions: happiness, sadness, surprise, anger, fear or disgust. For example, smiling signals a high probability of happiness, while an off-putting expression usually points toward anger.

We wanted to see the effect of emotions expressed at different times in the sales cases so we counted probabilities for each emotion for all 62 million frames in our database. We then combined these probabilities with other possible aspects (方面) that might drive sales — such as price and product characteristics — to judge the effect of emotion.

We found that, perhaps unsurprisingly, when salespeople show more negative emotions — such as anger and disgust — the volume of sales went down. But we also found that a similar thing happened when the salespeople show high levels of positive emotions, such as happiness or surprise.

A likely explanation, based on our research, is that smiling can be disgusting because it lacks true feelings and can reduce trust in the seller. A seller's happiness may be taken as a sign that the seller is gaining interests at the customer's expense.

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