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题型:语法填空-短文语填 难度:0.4 引用次数:760 题号:7811401
阅读下面短文,在空白处填入 1个适当的单词或括号内单词的正确形式。

Will cash disappear from our neighborhoods? Cash will likely become less popular, thanks to the high cost of using cash and the     1    (grow) number of alternatives. The future will be "less cash"rather than cashless.

Cash is unique among payment instruments in that anyone can transact(交易), any time, any place, with no third parties     2     (involve). With this freedom     3    (come) strong privacy protection. Currency neither knows nor cares who holds it or when and where a transaction occurred. People have     4     sense of security when they have cash with them. These entries will, of course, evolve(进化) as our societies become more     5    (digital) native. However, old habits and viewpoints take a long time     6     (turn)over. Some     7    (merchant)will resist the costs of new equipment or fees that accompany cash alternatives. Cash     8    (consider) more convenient and universal, while with digital transactions there’s always concerns about hacking and fraud(诈骗).

So, no matter where we are in the world, let us celebrate the ATM’s half-century of service. Though cash may become less popular, rest assured that there will always be someone     9     will stop you in the street asking for directions     10     the nearest ATM.

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Can you imagine a world without the Internet?It's     1    (surprise) to think about it. Now, China has more than 162 million Internet     2    (use), according to the China Internet Network Information Centre. This is the second     3    ( high) number of users in the world after the United States. Today, 66%of Chinese “netizens(网民)” are teenagers. “They spend about thirteen hours every week online, ”said Qian Hulin, an Internet expert. Doctor Song in Beijing Xuanwu Hospital said about 14% of Chinese netizens     4     are teens often lasted over ten hours to play online games.

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Li Dong, a teacher at No. 41 Middle School in Shijiazhuang, likes her students to use the Internet. “When we talk in class, students who surf     7     Net usually know more background information than the others,” she said.

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【推荐2】阅读下面短文,在空白处填入1个适当的单词或括号内单词的正确形式。

On Saturday night, a five-person team of the Chinese e-sports club, with the full name EDward Gaming,     1     (win) the 2021 League of Legends (LoL) World Championship in Iceland. The team has made very good use of the opportunity     2     (share) Chinese culture with the world. At the beginning of the championship, the members of EDG displayed Tai Chi martial arts, launching a “Chinese hurricane” there.

With the popularity of digital technology, new forms of cultural exchanges have been emerging, of which e-sports are of the     3     (hot). Unlike texts and videos, e-sports are understandable around the world, with the barriers of language     4     (break) down. Also e-sports appeal most to those in     5     (they) early 20s, as shown by the celebrations of college students on Saturday night,     6     in turn makes them a good bridge of communication between Chinese youngsters and their peers around the world. More     7    (important), the e-sports industry is sustainable in spreading Chinese culture, as the large audiences mean huge commercial potential.

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【推荐3】阅读下面短文,在空白处填入1个适当的词或括号内单词的正确形式。

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It’s tough to quantify how good a person is     1     remembering. No one really knows how many different faces someone can recall, for example, but various estimates tend to hover in the thousands.

Machines aren’t limited this way. Give the right computer a massive database of faces, and it can process what it sees — then recognize a face it     2     (tell) to find — with remarkable speed and precision. This skill is     3     supports the enormous promise of facial-recognition software in the 21st century.

The thing is, machines still have limitations when it comes to facial recognition: And scientists are only just beginning to understand what those constraints are.     4     (figure) out how computers are struggling, researchers at the University of Washington created a massive database of faces and     5     (test) a variety of facial-recognition algorithms (算法) as they scales up in complexity. The idea was to test the machines on a database that included up to 1 million different images of nearly 7, 000 different people — and not just a large database     6     (feature) a relatively small number of different faces.

As the databases grew, machine     7     (accurate) dipped across the board. Algorithms     8     were right 95% of the time when they were dealing with a 13,000-image database; for example, were accurate about 70% of the time when face with 1 million images.

Machines also had difficulty adjusting for people who look a lot alike — either doppoelgangers (长相极相似的人) , whom the machine would have trouble in identifying as two separate people,     9     the same person who appeared in different photos at different ages or in different lighting, whom the machine would     10     (correct) view as separate people.

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