外研版必修2《Module 2 No Drugs》2021年同步練習(xí)卷（詞匯閱讀加強(qiáng)練）
發(fā)布：2024/4/20 14:35:0
中英互譯
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1．
n.毒品；藥品組卷：1引用：1難度：0.7 -
2．
n. 癌； 癌癥組卷：3引用：8難度：0.7 -
3．
n.香煙組卷：1引用：2難度：0.7 -
4．
vt.注射組卷：0引用：1難度：0.7 -
5．
n.（注射用的）針；針管組卷：1引用：1難度：0.7 -
6．
adj.附近的組卷：1引用：4難度：0.7 -
7．
n.罪；罪行組卷：1引用：2難度：0.8 -
8．
adj.可能的組卷：1引用：2難度：0.7 -
9．
n.成人組卷：1引用：1難度：0.7 -
10．
vt.影響；對…有壞影響組卷：1引用：1難度：0.7 -
11．bronchitis n.
組卷：0引用：1難度：0.7 -
12．tobacco n.
組卷：0引用：1難度：0.7 -
13．cannabis n.
組卷：0引用：1難度：0.7 -
14．cocaine n.
組卷：0引用：1難度：0.7 -
15．burglary n.
組卷：0引用：1難度：0.7 -
16．criminal n.
組卷：0引用：2難度：0.7
閱讀訓(xùn)練
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49．Paris uses her power to feed the homeless.Her mom，Marshall，says her（1）
to become a hands-on good actor was the main（2）of a children's book，One Boy's Magic.
Paris might not have had a magic stick，but she didn't let that（3）her.Turning（4）to more practical magic and the（5）of her parents，Paris filled and（6）more than 500 care packages containing food and（7）essentials to downtown St.Louis's homeless people，as well as（8）approximately 250 meals to on-duty workers.
But Paris wasn't satisfied to simply（9）goods.It was（10）for her to make a link with the people she was trying to help.After（11）each package herself，Paris drew a picture or wrote a personal message on each one to（12）the kind of human connection so many of the homeless（13）lack.
"It makes me really（14）because this small child who is entering first grade has such a big heart，" Marshall said."She wants to（15）.She wants to help others."
Paris has already（16）a lot by anyone's standards，but if she has her way，she's only just getting started.She's looking toward to holding a Thanksgiving hot-food（17）for the homeless and also hopes to start a Christmas toy fund for kids（18）.
"I want to（19）people to do good things，" Paris said.
Out of the mouth of the child，comes not only wisdom，but（20）as well.（1） A．case B．inspiration C．target D．relief （2） A．name B．parent C．symbol D．character （3） A．stop B．disappoint C．touch D．disturb （4） A．even B．ever C．instead D．just （5） A．confidence B．quality C．rule D．help （6） A．kept B．delivered C．lent D．sold （7） A．other B．only C．dear D．fancy （8） A．putting out B．working out C．handing out D．trying out （9） A．carry B．donate C．reserve D．produce （10） A．common B．strange C．believable D．important （11） A．filling B．decorating C．checking D．measuring （12） A．feel B．praise C．a(chǎn)ccept D．create （13） A．lightly B．secretly C．extremely D．suitably （14） A．worried B．special C．natural D．proud （15） A．smile B．give C．work D．read （16） A．wrote B．understood C．a(chǎn)ccomplished D．invented （17） A．drive B．speech C．a(chǎn)dvertisement D．hunt （18） A．in danger B．in comfort C．in silence D．in need （19） A．a(chǎn)sk B．inspire C．intend D．permit （20） A．price B．hope C．encouragement D．kindness 組卷：1引用：1難度：0.5 -
50．Scientists say they've developed a system using machine learning to predict when and where lightning will strike.The research was led by engineers from the Swiss Federal Institute of Technology in Lausanne，Switzerland.
European researchers have estimated that between 6，000 and 24，000 people are killed by lightning worldwide each year.The strikes can also cause power outages，destroy property，damage electrical equipment and start forest fires.For these reasons，climate scientists have long sought to develop methods to predict and control lightnjye.aig.In the United States and other places，ground-based sensing devices are used to identify strikes as they happen.But，no system has been created to effectively predict lightning.
The system tested in the experiments used a combination of data from weather stations and machine learning methods.The researchers developed a prediction model that was trained to recognize weather conditions that were likely to cause lightning.
The model was created with data collected over a 12-year period from 12 Swiss weather stations in cities and mountain areas.The data related to four main surface conditions：air pressure，air temperature，relative humidity and wind speed.
The atmospheric data was placed into a machine learning algorithm（算法），which compared it to records of lightning strikes.Researchers say the algorithm was then able to learn the conditions under which lightning happens.
Amirhossein Mostajabi is a PhD student at the institute who led the development of the method.He said，"current systems for gathering such data are slow and complex and require costly collection equipment like radar or satellites."
"Our method uses data that can be obtained from any weather station，" Mostajabi said. "This will improve data collection in very remote areas not covered by radar and satellites or in places where communication systems have been cut，" he added.
The researchers plan to keep developing the technology in partnership with a European effort that aims to create a lightning protection system.The effort is called the European Laser Lightning Rod project.
（1）Why have climate scientists tried to predict and control lightning？
A．To collect relative data.
B．To reduce the destruction lightning has been causing.
C．To create a scientific system.
D．To do research in relation to machine learning.
（2）The four mentioned surface conditions include all the following EXCEPT.
A．a(chǎn)ir pollution
B．wind speed
C．relative humidity
D．a(chǎn)ir temperature
（3）What does the underlined word "it" in Paragraph 5 refer to？
A．Lightning.
B．The system being tested.
C．The atmospheric data.
D．The machine learning algorithm.
（4）What can we learn about Mostajabi from the passage？
A．He developed the method and the system himself.
B．He thinks the current systems are too slow and simple.
C．He is a professor at the Swiss Federal Institute of Technology.
D．He believes their system does much better in data collection.組卷：4引用：2難度：0.5