高考英语阅读精品套装（一讲双练） 考点13--推理判断之推断文章走势（练模拟）

高考英语二轮复习策略建议

一轮复习在紧张的学习与考试中度过，如何有效地进二轮复习，如何在高考最关键时刻，梳理重点知识，如何回归课本、回归基础，是摆在我们面前很值得深思与探讨的问题给大家整理了高考英语二轮复习方法，供大家参阅!

一、在复习语言点的时候，要依据语言的横向组合和纵向聚合，按照“点—线—面”顺序，构建知识网络环境。

二、多做高考题，少扣模拟题

1、时间的把控。        2、总结一下各部分的得分情况，了解自己的强弱项。

3、留意出题点，揣摩不同内容出题人的着眼点在哪里，做到知己知彼。

三、多攻词汇表，少记课外词

词汇背诵是高考备考非常重要的一环，同学们要及早动手。在第一轮复习的时候，至少要过词意关。

四、写作。研究高考写作命题话题范围，根据测试的频度和交际场景的生活化程度进行分类。

考点13--推理判断之推断文章走势--练模拟--熟能生巧

1.【2022届山东省德州市高考三模】

Most people know social media isn’t free — it’s paid for with the collection of its users’ sometimes-sensitive information. Your GPS system keeps track of your movements, and your smart TV can watch you. Almost all the information these devices collect can be sold to companies or used by authorities to keep tabs or gather evidence. Meanwhile, we use technology so frequently because of its efficiency and convenience. Is the trade-off worth it, or are we selling our souls to the devil?

SafeHome.org Team surveyed 1,019 people aged 18 and older about their opinions on security and electronic devices and whether they felt the risk to privacy was worth the security and convenience benefits. As it turns out, some feel technology is far too convenient to give up despite its flaws, while others would trash their devices if they found out it was spying on them.

Interestingly, three major factors appear to have an impact on which aspect of privacy violation they find most shocking — age, gender and occupation.

Different generations have different relationships with technology and, as such, have different concerns about privacy. Those 65 and older appeared to be very distrustful of technology, recording higher levels of concern than younger generations in almost every field. Those aged 45-64 all found location tracking, home security, and smart device privacy issues to be the most threatening. From age 18 to 44, the data trends looked rather similar. A distrust of social media existed, but they regarded fitness trackers, and public surveillance(监视) as less of an issue than older generations.

While men and women seemed to have the same concerns about privacy in the digital age, a few interesting aspects existed. Women were more concerned overall with identity and location tracking. Men had concerns with these issues as well but perhaps didn’t feel as physically threatened by them. The place where men took more issues than women was the selling of personal data to advertisers and monitoring of conversations and activities.

12．What does the author intend to convey about social media in paragraph 1?

A．It comes at a price. B．It is of great value.

C．It has developed greatly. D．It brings convenience to life.

13．What did the survey of SafeHome.org Team focus on?

A．People’s attitudes towards privacy risks.

B．People’s opinions on technology benefits.

C．People’s responses to electric device flaws.

D．People’s thoughts on employment security.

14．What does the result of the survey imply?

A．Women worry about personal data most.

B．Men tend to sell personal data to advertisers.

C．Young people don’t see social media as a threat.

D．Older people are more doubtful about technology.

15．What will be discussed further in the coming paragraph?

A．Prevention of the privacy violation.

B．Significance of the SafeHome, org Team.

C．Privacy concerns from different occupations.

D．Methods of guaranteeing privacy in the digital age.

2.【2022届青海省海东市高考一模】

Restricting meals to early in the day did not affect weight among overweight adults with prediabetes or diabetes, according to research presented at the American Heart Association’s Scientific Sessions 2020.

“We have wondered for a long time if when one eats during the day affects the way the body uses and stores energy,” said study author Nisa M. Maruthur, associate professor of medicine in Johns Hopkins University in Baltimore. “Most previous studies have not controlled the number of calories, so it wasn’t clear if people who ate earlier just ate fewer calories. In this study, the only thing we changed was the time of day of eating.”

Maruthur and the colleagues followed 41 overweight adults in a 12-week study. Most participants (90%) were African American women with prediabetes or diabetes, and average age of 59 years. Twenty-one of the adults followed a time restricted eating pattern, limiting eating to specific hours of the day and ate 80% of their calories before 1 pm. The remaining 20 participants ate at usual times during a 12-hour window, consuming half of their daily calories after 5 pm for the entire 12 weeks. All participants consumed the same pre-prepared, healthy meals provided for the study. Weight and blood pressure were measured at the beginning of the study, then at 4 weeks, 8 weeks and 12 weeks.

The analysis found that people in both groups lost weight and had decreased blood pressure regardless of when they ate. “We thought that the time restricted group would lose more weight,” Maruthur said. “Yet that didn’t happen. We did not see any differences in weight loss for those who ate most of their calories earlier versus later in

 the day. We did not see any effects on blood pressure either.”

The researchers are now collecting more detailed information on blood pressure recorded over 24 hours, and they will be compiling this information with the results of a study on the effects of time-restricted feeding on blood sugar, insulin and other hormones and making analyses on the findings. “Together, these findings will help us to more fully understand the effects of time-restricted eating on cardiometabolie health,” Maruthur said.

8．What made the study different from earlier ones?

A．Participants’ age. B．Participants’ daily eating time.

C．The number of participants. D．The research members.

9．What is paragraph 3 mainly about?

A．The research procedure. B．The research result.

C．The research purpose. D．The research institution.

10．What can we learn from the study?

A．Blood pressure is connected with eating time.

B．Absorbing less calories earlier makes for weight loss.

C．Eating time determines the effect of losing weight.

D．Taking in calories earlier doesn’t impact weight loss.

11．What may the researchers do next according to the last paragraph?

A．Stop research. B．Announce findings.

C．Analyze data. D．Write essays.

3.【2022届河南省开封市名校联盟高三押题】

One day, my wife and I were listening to Disney songs with our two little girls when the romantic love song I See the Light came on. I walked over to my wife, who was in the kitchen, took her in my arms and started dancing with her slowly. I could tell it caught her off-guard and embarrassed her a little. Thankfully, she stayed in my arms and danced with me anyway. As the song approached the final chorus, I suddenly realized we weren’t alone. Our daughters were standing there watching us in silence.

The song approached the end and as the strings played the last notes, I decided to give the girls a Hollywood ending. I took my wife’s face in my hands and kissed her. After I pulled away, I looked over and saw my elder daughter’s face lit up with admiration, and her eyes filled with tears. Then she came over, buried her face in my wife’s legs. and cried.

“Why are you crying?” my wife asked.

My daughter was at a loss for words, so I tried a different angle.

“Can you at least give me one word to describe how you’re feeling?” I asked.

My daughter paused, looked up at us and said,“Loved.”

It reminded me of seeing my dad kiss my mom, leaving me feeling pleasantly embarrassed as a child. I wanted to watch them kiss each other and hide my face at the same time. And while there were no words to describe how I felt at the time, looking back, I know what it was: I felt loved.

Never overlook the power of your love for your spouse (配偶). Your kids are watching as you smile and give each other a kiss when you say goodbye to each other in the morning. They’re listening when you praise one another. Showing marital love in front of our children is a unique chance to be both a good parent and a good spouse.

4．What were the author’s daughters doing while he was dancing with his wife?

A．Cooking in the kitchen. B．Watching a Disney film.

C．Looking at them silently. D．Exchanging loving kisses.

5．Why did the author’s elder daughter cry?

A．She was desperate to be kissed by her mom. B．She hated it when her dad kissed her mom.

C．She felt deeply touched by her parents’ love. D．She thought her dad completely ignored her.

6．How did the author as a kid feel when seeing his dad kiss his mom?

A．Proud and calm. B．Sad and ashamed. C．Interested but annoyed. D．Embarrassed but pleased.

7．What does the author most probably suggest parents do at last?

A．Remember to praise their children in public. B．Avoid close contact in front of their children.

C．Set a good example in terms of good manners. D．Show their love for each other to their children.

4.【2022届河北衡水中学高考英语押题卷1】

Video conferencing has been around for more than 20 years. Until the COVID-19 pandemic, though, you would find that many people needing to attend a meeting remotely would be calling from a real conference room full of their teammates. Today, we’re routinely holding video conferences that are 100% virtual. And this is creating a problem that technology can’t fix.

The problem is us, specifically the fact that we haven’t evolved socially to the point where we can bear much separation. So much of our well-being and work productivity is decided on how close we are physically. The

 removal of that for any period of time can be severely damaging. One surprising victim of social distancing is laughter.

Normally people laugh about 18 times per day. And 97% of that time we’re laughing with others — we are 30 times more likely to laugh with others than to laugh alone. Think about it: how often when you and your friends laugh at something that is actually funny? Research shows that 80% of what people laugh at is really not that funny.

So why do people laugh? They laugh in order to laugh with others. Just as everyone starts yawning when just one person yawns, most people can’t help but laugh when those around them do. This is why TV comedy shows often use prerecorded laugh tracks.

Laughing in response to other people’s laughing is not just a behavioral phenomenon. When we laugh, our body produces two key chemicals: endorphin which helps relieve pain and sets off feelings of pleasure, and dopamine which can improve learning, motivation and attention. In fact, studies show that people can stand 15% more pain simply by laughing for a few minutes beforehand. Laughter is also associated with higher motivation and productivity at work.

In today’s home-alone, virtual-team world, this is exactly what you as a team leader should be doing: for your team members to stay healthy and productive, you need to get them to laugh more and stress less.

8．What is the problem mentioned in the first two paragraphs?

A．A distant relationship.  B．Unexpected social evolution.

C．Decreased laughter.  D．Removed social distance.

9．What can be inferred from the article?

A．Laughing alone is normal.  B．Laughing is for fun.

C．Laughing starts with yawning.  D．Laughing comes more in groups.

10．What is Paragraph 5 mainly about?

A．The motivation behind laughter.  B．The chemicals regarding laughter.

C．The mechanism of laughter.  D．The significance of laughter.

11．What would the author most probably discuss next?

A．How to boost laughter.  B．How to better a team.

C．How to reduce stress.  D．How to increase productivity.

5.【2022届河南省豫南省级示范高中联盟高三下学期考前模拟四】

It’s a connected world, and nearly every device, appliance, and machine with some sort of computer running

 inside it can be connected to others through the Internet of Things (IoT). What a great leap forward in this journey we call human civilization! But does this recent advancement come with a dark secret that can someday turn on us? Are smart devices spies around us?

Many smart appliances today, particularly smartphones and virtual assistants are equipped with voice command capabilities. They can, therefore, listen to and record your comments and conversations even after they’ve carried out your original command. Concerns about devices turning on voice command by themselves and listening even when you do not enable the feature have also been raised. The question then is: What actually happens when your smart device is listening? How much information gets recorded, and where does this eventually end up in?

Take a listening app called “Alphonso” as an example. You can’t download it directly from the App Store, but it comes with some games and apps that you can fix. While you are playing games on your smartphone, Alphonso comes to life and listens to what you are watching on TV. It then records this information and sends it to some server somewhere, and the data is analyzed to build a profile about your TV-viewing habits. Alphonso proves that devices can listen to what you say and do.

Alphonso proves that devices can listen to what you say and do. Now, what’s to stop devices from gathering other data? They can be made to look at chat and text messages or your calendar, for example, everything about you would be fair game. Some popular smart home platforms can control the platforms to fall silent but still remain active, capturing every word you speak that can potentially land you in some sort of phishing (网络欺诈) trouble. This seems to be the price we have to pay for the convenience that technology gives us. Privacy seems non-existent. So we should thus take steps to protect ourselves from this eventuality.

12．What can we infer about IoT mentioned in paragraph 1?

A．People rely too much on IoT. B．IoT spies are exactly among us.

C．IoT can be a double-edged sword. D．IoT merely comes with a dark secret.

13．What is the potential risk associated with smart devices?

A．Voice command capabilities B．Personal data and identity theft.

C．Original command recognition. D．Location-based tracking function.

14．Why does the author take “Alphonso” as an example?

A．To present how smart devices send ads. B．To introduce the advantage of voice commands.

C．To show the usage of downloading listening app. D．To explain how hidden app steal people’s privacy.

15．Where does the article go next?

A．Ways to prevent information leakage. B．Reasons for the loss of personal data.

C．Tricks of obtaining sensitive information. D．Methods of interactions with technologies.