1 . A simple restaurant was ________ he usually had the same meal of sausages, eggs and coffee. (用适当的词填空)

2 . Nowadays, ________ (equip) with a knowledge of computer is an essential qualification for most of the posts in the job market. (所给词的适当形式填空)

3 . The film star wears sunglasses, so he can go shopping without ________ (recognize). (所给词的适当形式填空)

4 . The good thing about cycling is that you don’t have to worry about ________(stick) in a traffic jam. (用所给词的适当形式填空)

6 . The study involved volunteers ______ (ask) to memorize the order of eight pictures given to them. (所给词的适当形式填空)

7 . ________ (tell) many times, the naughty boy still made the same mistakes. (所给词的适当形式填空)

8 . 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。

Human memory is unreliable. Even people with the sharpest facial recognition skills can only remember so much.

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.

9 . Ask colleagues to read your manuscript prior _________ submission.(用适当的词填空)

10 . There are some health problems that, when not ___________(treat) in time, can become bigger ones later on. (所给词的适当形式填空)