2021-2022学年新教材高中英语 课时作业11 Unit 4 A glimpse of the future(含解析)外研版选择性必修第三册.doc
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1、课时分层作业(十一).单句语法填空1The musician along with his band members has given(give) ten performances in the last three months.2Every doctor and every nurse was (be) given a new shirt yesterday.3Many a boy and many a girl has (have) made the same mistake.4He answered that there was (be) a lamp, two pens and s
2、ix books on the desk.5Serving the people is (be) my great happiness.6How he can speak so good English interests(interest)us all.7A teacher and writer is (be) going to give us a speech tomorrow.8When fat and salt are removed (remove) from food, the food tastes as if it is missing something.9Neither h
3、e nor I have (have) finished the experiment so far.10Each boy and each girl was given(give)a gift on Christmas Day last year.完形填空Face Shape Lets AI Spot Rare DisordersPeople with genetic syndromes (综合征) sometimes have revealing facial features, but using them to make a quick and cheap diagnosis can
4、be 1 given there are hundreds of possible conditions they may have.A new neural (神经系统) network that analyses photographs of faces can help doctors 2 the possibilities.Yaron Gurovich at biotechnology firm FDNA in Boston and his team built a neural network to look at the overall impression of faces an
5、d 3 a list of the 10 genetic syndromes a person is most likely to have.They 4 the neural network, called DeepGestalt, on 17,000 images correctly labeled to match more than 200 genetic syndromes.The team then asked AI to 5 potential genetic disorders from a further 502 photos of people with such cond
6、itions.It included the correct answer among its list of 10 responses 91 per cent of the time.Gurovich and his team also 6 the neural networks ability to distinguish between the different genetic mutations (变异) that can lead to the same syndrome.They used photographs of people with Noonan syndrome, w
7、hich can result from mutations in any one of five genes.DeepGestalt correctly identified the genetic source of the physical appearance 64 per cent of the time.Its clearly not 7 , but its still much better than humans are at trying to do this.As the system makes its assessments, the facial regions th
8、at are most helpful in the determination are 8 and made available for doctors to view.This helps them to understand the relationships between genetic makeup and physical appearance.The fact that the diagnosis is based on a simple photograph raises questions about 9 If faces can reveal details about
9、genetics, then employers and insurance providers could, in principle, 10 use such techniques to 11 against people who have a high probability of having certain disorders. 12 ,Gurovich says the tool will only be 13 for use by clinicians.This technique could bring significant 14 for those who have gen
10、etic syndromes.The real value here is that for some of these ultrarare diseases, the process of diagnosis can be many, many years.This kind of technology can help narrow down the search space and then be confirmed through checking genetic markers.For some diseases, it will cut down the time to diagn
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