湖北省荆州中学2020学年高二英语5月双周考试题

Easy-On Shoes

In 2020，Mathew Walzer，a high school student with a disability，sent a note to Nike．\，\worry about someone coming to tie my shoes every day.\design team to the challenge．This year，they came out with their solution：the FlyEase．The basketball shoe can be fastened with one hand．A pair of Nike FlyEase shoes sells for $130． An Airport for Drones（无人机）

As Amazon，Google，and others get ready for drone delivery service，there is one big question：what kinds of home bases will their drones have？Rwanda，in Africa，may have the answer．There，workers will soon start work on three \．The goal is to make it easier to transport food，medical supplies，electronics，and other goods through the hilly countryside. Construction is set to be completed in 2020． 21. What's the advantage of the Oceans Vacuum？ A. It can be a money-saver C. It can tear plastic into pieces 22. What do we know about Nike？

A. It offers free shoes to the B. It is designing new shoes disabled

frequently

B. It can grow year by year D. It can be put into wide use soon

C. It provides customer-friendly D. It responded to Matthew's services

request passively

23. Why is Rwanda setting up \？ A. Because road travel there is rough many drones

C. Because they're easier to construct than roads D. Because they are receptive to new technology B

Recently, many e-commerce platforms, including Didi Taxi, Ctrip, Fliggy, JD ad Taobao, have been uncovered that they are cheating their frequent customers. Their ways are pretty clever. When there are new users or conservative old users, they will give a quite appealing price to attract them into registering and buying goods. However, their big data is not that friendly to the stable users and frequent visitors. The system always offers them higher price for the same products or service.

How does this happen? According to the data analysis, the system knows clearly that although they feel the price is high, they will finally pay the bill. By collecting and analyzing users’ profiles, buying habits and other information, big data recommends the same products to different users with different prices.

B. Because there are too

Companies also try other ways to make money, making online consumption far more worrying. For example, video websites always offer 120 seconds’ advertisements, which drives people crazy. And even if you pay for the membership to get rid of the ads, you have to “enjoy” 15-second “private” ads. By broadcasting them, companies make huge profits --- second to the membership fees. Also, owning 100Mbps network, you still put up with the slow speed when you are downloading a song. You have no choice but to become a VIP when you seek high quality services. Users seem to be lambs(羊羔) among wolves. Even though they say, “Since you have money, I’ll charge you more”, we can’t do anything about it.

It pains us that we haven’t figured out a way to deal with the problem. The only thing we can do is replacing our iPhones with Android phones if we want to buy a membership card, and applying for new accounts if we want cheaper hotels. Not finding a way to fight back, we can’t do anything but accept them passively.

24. How does big data serve companies according to the text? A. By being kind to all users.

B. By giving a discount to stable users.

C. By attracting new users by analyzing their shopping habits.

D. By recommending the same products with higher prices to regular users.

25. What do we know from the third paragraph? A. Membership can rid you of all the ads.

B. Only by being a VIP can you get a better service. C. The slow download speed is due to your poor network. D. Advertising income is the biggest income for video websites.

26. What is the author’ attitude towards the chances of finding a way to fight back?

A. Uncertain. B. Casual. C. Negative. D. Positive.

27. What is the main idea of the text?

A. The big data provides helpful information to users. B. We have to accept online consumption as it is. C. There exist many online consumption traps. D. Regular customers are richer. C

When we see well, we do not think about our eyes very often. It is only when we cannot see perfectly that we realize how important our eyes are. People who are near-sighted can only see things that are very close to their eyes. Everything else seems blurry. Many people who do a lot of work, such as writing, reading and sewing become near-sighted. People who are