陕西省重点中学2022-2023学年高二上学期期末考试英语试卷
2022-2023 学年上学期期末
高二英语
第一部分 阅读 (共两节,满分 50 分)
第一节(共 15 小题;每小题 2.5 分,满分 37.5 分)
阅读下列短文,从每题所给的 A、B、C、D 四个选项中选出最佳选项。
Discover the Canadian Rockies by rail and car. Enjoy two days aboard the scenic Rocky
Mountaineer, combined with the freedom to discover fantastic Banff National Park in your spare
time by rental car.
About the Tour
Your tour starts in Vancouver, where you can explore the scenic city on your own and visit
Vancouver Lookout for the whole views. After a relaxing evening, you'll start your second day
with travel aboard the Rocky Mountaineer, from Vancouver to Kamloops, the heart of British
Columbia.
Get your cameras ready for dramatic scenery, from the rushing waters of Hell's Gate to
mountain peaks. Continue east to Alberta, across ranchlands, lakeshores, mountain passes and
tunnels, arriving in the town of Banff. You can have your supper by tasting the local food, but the
cost falls on you.
Spend the next day enjoying Banff on your own, and then drive to Lake Louise and Yoho
National Park. Travel through Kananaskis Country and the wide-open ranches of Alberta before
arriving in Calgary, where you'll spend an evening touring the city before your trip comes to an
end.
Highlights
2 days of scenic rail travel onboard the Rocky Mountaineer
Free Hotel accommodations (住宿)for all the 5 nights
4 free meals
3-day full-size car rental with GPS and unlimited mileage
Vancouver Lookout
Calgary Tower
Additional Information
It is your duty to check and fulfill the passport, visa, and health requirements applicable(合
适的)to your journey. We do not accept any loss if you cannot travel, or receive any other loss
because you have not obeyed (遵 循)any passport, visa, or health requirements. You are to pay
back to us in relation to any fines or other losses which we get as a result of your failure to follow
any passport, visa, or health requirements.
1.Where does the tour end?
A.Banff. B.Calgary.
C.Alberta. D.Yoho National Park.
2.Which is free of charge for tourists?
A.Accommodations. B.Taking the train.
C.Driving a rental car. D.All meals during the trip.
3.What does the author intend to tell us in "Additional Information" ?
A.Rules during the travel. B.Risk of breaking travel rules.
C.Responsibility travelers need to take. D.The trouble in getting the passport.
Eyes are said to be the window to the soul — but researchers at Google see them as
indicators of a person’s health. A study suggests that Google’s computers can predict whether
someone is at risk of a heart attack by analyzing a photograph of their retina (视网膜).
The research relied on a convolutional neural network, a type of deep-learning algorithm (算
法) that is transforming how biologists analyse images. Google’s approach is part of a wave of
new deep-learning applications that are making image processing easier and could even identify
overlooked biological phenomena.
The approach took off in the tech sector around 2012, but scientists struggled to apply the
networks to biology, in part because of cultural differences between fields. “Take a group of smart
biologists and put them in a room of smart computer scientists and they will talk two different
languages to each other, and have different mindsets,” says Daphne Koller, chief computing
officer at Calico.
However, through years of study, some scientists have seen a shift that has never happened
before in how well machine learning can accomplish biological tasks that have to do with
imaging. Others are most excited by the idea that analysing images with convolutional neural
networks could unknowingly reveal unnoticeable biological phenomena, encouraging biologists to
ask questions they might not have considered before.
Such discoveries could help to advance disease research. If deep learning can reveal markers
of cancer in an individual cell, it could help to bring about new assumptions about how cancer
spreads.
Other machine-learning experts in biology have set their sights on new frontiers, now that
convolutional neural networks are taking flight for image processing. “Imaging is important, but
so is chemistry and molecular (分子) data,” says Alex Wolf, a computational biologist. Wolf hopes
to improve neural networks so that they can analyse gene expression. “I think there will be a very
big breakthrough in the next few years,” he says.
4.What do we know about a convolutional neural network?
A.It can predict diseases. B.It is a learning machine.
C.It can transform images. D.It is an image processor.
5.What can we infer from Daphne Koller’s words?
A.Barriers exist in certain fields. B.Scientists have different research aims.
C.Characters prevent scientific cooperation. D.Technical limitation is the biggest challenge.
6.With further study of convolutional neural networks, ______.
A.many biological questions get answered
B.it drives biologists to explore the field widely
C.image analysis can go on without being noticed
D.many deep-learning applications have been improved
7.What is implied in the last paragraph?
A.Neural networks are promising. B.It is convenient to process images.
C.It is necessary to work on new frontiers. D.Analyzing gene expression is imperfect.
After Bernini broke his neck and lost all movements below his shoulders when he was 18, his
brain still told his hands how to move - - but the message couldn't get through the injured part that
connects his brain to other parts of his body. Now, thanks to recent advances in electrical
stimulation (刺激) technology. Bernini can once again grasp, pour, and even play Guitar Hero. To
do so, he uses a micro-electrode array (MEA) that reads his brain's signals and sends them through
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