考研英语阅读理解既需要打牢基础,提升英语阅读能力,在做题时也需要把握技巧,把力用在刀刃上。做阅读理解最重要的就是要理解文章的主旨要义,通常来讲,英语文章中的主旨句会出现在第一段以及每段的首句,考生在阅读文章的过程中一定要着重理解这些重点部位。
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考研英语一阅读历年真题1
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The rough guide to marketing success used to be that you got what you paid for. No longer. While traditional “paid” media – such as television commercials and print advertisements – still play a major role, companies today can exploit many alternative forms of media. Consumers passionate about a product may create “owned” media by sending e-mail alerts about products and sales to customers registered with its Web site. The way consumers now approach the broad range of factors beyond conventional paid media.
Paid and owned media are controlled by marketers promoting their own products. For earned media , such marketers act as the initiator for users‘ responses. But in some cases, one marketer’s owned media become another marketer‘s paid media – for instance, when an e-commerce retailer sells ad space on its Web site. We define such sold media as owned media whose traffic is so strong that other organizations place their content or e-commerce engines within that environment. This trend ,which we believe is still in its infancy, effectively began with retailers and travel providers such as airlines and hotels and will no doubt go further. Johnson & Johnson, for example, has created BabyCenter, a stand-alone media property that promotes complementary and even competitive products. Besides generating income, the presence of other marketers makes the site seem objective, gives companies opportunities to learn valuable information about the appeal of other companies’ marketing, and may help expand user traffic for all companies concerned.
The same dramatic technological changes that have provided marketers with more (and more diverse) communications choices have also increased the risk that passionate consumers will voice their opinions in quicker, more visible, and much more damaging ways. Such hijacked media are the opposite of earned media: an asset or campaign becomes hostage to consumers, other stakeholders, or activists who make negative allegations about a brand or product. Members of social networks, for instance, are learning that they can hijack media to apply pressure on the businesses that originally created them.
If that happens, passionate consumers would try to persuade others to boycott products, putting the reputation of the target company at risk. In such a case, the company‘s response may not be sufficiently quick or thoughtful, and the learning curve has been steep. Toyota Motor, for example, alleviated some of the damage from its recall crisis earlier this year with a relatively quick and well-orchestrated social-media response campaign, which included efforts to engage with consumers directly on sites such as Twitter and the social-news site Digg.
31.Consumers may create “earned” media when they are
[A] obscssed with online shopping at certain Web sites.
[B] inspired by product-promoting e-mails sent to them.
[C] eager to help their friends promote quality products.
[D] enthusiastic about recommending their favorite products.
32. According to Paragraph 2,sold media feature
[A] a safe business environment.
[B] random competition.
[C] strong user traffic.
[D] flexibility in organization.
33. The author indicates in Paragraph 3 that earned media
[A] invite constant conflicts with passionate consumers.
[B] can be used to produce negative effects in marketing.
[C] may be responsible for fiercer competition.
[D] deserve all the negative comments about them.
34. Toyota Motor‘s experience is cited as an example of
[A] responding effectively to hijacked media.
[B] persuading customers into boycotting products.
[C] cooperating with supportive consumers.
[D] taking advantage of hijacked media.
35. Which of the following is the text mainly about ?
[A] Alternatives to conventional paid media.
[B] Conflict between hijacked and earned media.
[C] Dominance of hijacked media.
[D] Popularity of owned media.
考研英语一阅读历年真题2
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The journal Science is adding an extra source at Peer-review process, editor-in-chief Marcia McNott announced today. The Follows similar efforts from other journals, after widespread concern that Mistakes in data analysis are contributing to the Published research findings.
"Readers must have confidence in the conclusions published in our journal,"writes McNutt in an editorial. Working with the American Statistical Association, the Journal has appointed seven experts to a statistics board of reviewing Manuscript will be flagged up for additional scrutiny by the Journal's editors, or by its existing Board of Reviewing Editors or by outside peer The SBoRE panel will then find external statisticians to review these
Asked whether any particular papers had impelled the change, McNutt said,"The creation of the'statistics board'was motivated by concerns broadly with the application of statistics and data analysis in scientific research and is part of Science's overall drive to increase reproducibility in the research we publish."
Giovanni Parmigiani,a biostatistician at the Harvard School of Public Health, a member of the SBoRE group, says he expects the board to "play primarily on advisory role." He agreed to join because he "found the foresight behind the establishment of the SBoRE to be novel, unique and likely to have a lasting impact. This impact will not only be through the publications in Science itself, but hopefully through a larger group of publishing places that may want to model their approach after Science."
John Ioannidis, a physician who studies research methodology, says that the policy is "a most welcome step forward"and "long overdue,""Most journals are weak in statistical review,and this damages the quality of what they publish. I think that, for the majority of scientific papers nowadays, statistical review is more essential than expert review,"he says. But he noted that biomedical journals such as Annals of Internal Medicine, the Journal of the American Medical Association and The Lancet pay strong attention to statistical review.
Professional scientists are expected to know how to analyze data, but statistical errors are alarmingly common in published research,according to David Vaux,a cell biologist. Researchers should improve their standards, he wrote in 2012,but journals should also take a tougher line,"engaging reviewers who are statistically literate and editors who can verify the process."Vaux says that Science's idea to pass some papers to statisticians "has some merit,but a weakness is that it relies on the board of reviewing editors to identify'the papers that need scrutiny'in the first place."
31. It can be learned from Paragraph I that
[A] Science intends to simplify its peer-review process.
[B]journals are strengthening their statistical checks.
[C]few journals are blamed for mistakes in data analysis.
[D]lack of data analysis is common in research projects.
32. The phrase "flagged up "(Para.2)is the closest in meaning to
[A]found.
[B]revised.
[C]marked
[D]stored
33. Giovanni Parmigiani believes that the establishment of the SBoRE may
[A]pose a threat to all its peers
[B]meet with strong opposition
[C]increase Science's circulation.
[D]set an example for other journals
34. David Vaux holds that what Science is doing now
A. adds to researchers' worklosd.
B. diminishes the role of reviewers.
C. has room for further improvement.
D. is to fail in the foreseeable future.
35. Which of the following is the best title of the text?
A. Science Joins Push to Screen Statistics in Papers
B. Professional Statisticians Deserve More Respect
C. Data Analysis Finds Its Way onto Editors' Desks
D. Statisticians Are Coming Back with Science
考研英语一阅读历年真题3
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Any fair-minded assessment of the dangers of the deal between Britain's National Health Service (NHS) and DeepMind must start by acknowledging that both sides mean well. DeepMind is one of the leading artificial intelligence (AI) companies in the world. The potential of this work applied to healthcare is very great, but it could also lead to further concentration of power in the tech giants. It Is against that background that the information commissioner, Elizabeth Denham, has issued her damning verdict against the Royal Free hospital trust under the NHS, which handed over to DeepMind the records of 1.6 million patients In 2015 on the basis of a vague agreement which took far too little account of the patients' rights and their expectations of privacy.
DeepMind has almost apologized. The NHS trust has mended its ways. Further arrangements- and there may be many-between the NHS and DeepMind will be carefully scrutinised to ensure that all necessary permissions have been asked of patients and all unnecessary data has been cleaned. There are lessons about informed patient consent to learn. But privacy is not the only angle in this case and not even the most important. Ms Denham chose to concentrate the blame on the NHS trust, since under existing law it “controlled” the data and DeepMind merely “processed" it. But this distinction misses the point that it is processing and aggregation, not the mere possession of bits, that gives the data value.
The great question is who should benefit from the analysis of all the data that our lives now generate. Privacy law builds on the concept of damage to an individual from identifiable knowledge about them. That misses the way the surveillance economy works. The data of an individual there gains its value only when it is compared with the data of countless millions more.
The use of privacy law to curb the tech giants in this instance feels slightly maladapted. This practice does not address the real worry. It is not enough to say that the algorithms DeepMind develops will benefit patients and save lives. What matters is that they will belong to a private monopoly which developed them using public resources. If software promises to save lives on the scale that dugs now can, big data may be expected to behave as a big pharm has done. We are still at the beginning of this revolution and small choices now may turn out to have gigantic consequences later. A long struggle will be needed to avoid a future of digital feudalism. Ms Denham's report is a welcome start.
31.Wha is true of the agreement between the NHS and DeepMind ?
[A] It caused conflicts among tech giants.
[B] It failed to pay due attention to patient’s rights.
[C] It fell short of the latter's expectations
[D] It put both sides into a dangerous situation.
32. The NHS trust responded to Denham's verdict with
[A] empty promises.
[B] tough resistance.
[C] necessary adjustments.
[D] sincere apologies.
33.The author argues in Paragraph 2 that
[A] privacy protection must be secured at all costs.
[B] leaking patients' data is worse than selling it.
[C] making profits from patients' data is illegal.
[D] the value of data comes from the processing of it
34.According to the last paragraph, the real worry arising from this deal is
[A] the vicious rivalry among big pharmas.
[B] the ineffective enforcement of privacy law.
[C] the uncontrolled use of new software.
[D] the monopoly of big data by tech giants.
35.The author's attitude toward the application of AI to healthcare is
[A] ambiguous.
[B] cautious.
[C] appreciative.
[D] contemptuous.
考研英语一阅读理解技巧
理解主旨要义
做阅读理解最重要的就是要理解文章的主旨要义,通常来讲,英语文章中的主旨句会出现在第一段以及每段的首句,考生在阅读文章的过程中一定要着重理解这些重点部位。
理解文中的具体信息
找到主旨句之后,就要在阅读过程中多加留意,找出文章中的具体信息。大家在阅读时要注意两点,首先要先看问题在阅读,带着问题看文章;其次要注意把关键词圈出来,这样能有效帮助你理解文中的有用信息。
理解文中的概念性含义
阅读理解的文章中往往隐藏这一些概念性的含义,其中不仅包括关于名词的解释,还包括人物的介绍以及大背景的介绍。一般来说,阅读理解的问题通常不会简单地询问字面上的意思,但答案往往是在这些概念性的阐述中推理出来的。
进行有关的推断、推理和引申
由于阅读理解的答案不会摆在桌面上任你采撷,必须要你通过推理获得,所以考生在阅读过程中要进行有关的推断、推理和引申。推理的依据通常包括三种,时间、地点、人物,大家可以通过文章中这三点的变幻获得有用信息。
依据上下文推测生词的词义
生词也是阅读理解中让人头疼的事情,我们可以把不熟悉的词汇分为两种,面熟的和面生的。关于面熟的词汇,那么你就把你熟悉的那一部分标记出来,如果这个词语不是超纲词汇的话,那么这个单词很可能是你所熟悉的那一部分的词的引申词汇,意义也可以由此推理一下。关于面生的词汇,就只能通过学习上下文推测和揣度了,这就必须要你多读上下文,通过理解段落的含义,推敲出词汇的大致意思。
上文小编为大家分享了考研英语一阅读历年真题以及答题技巧,欢迎大家的借鉴参考。考研英语阅读理解既需要打牢基础,提升英语阅读能力,在做题时也需要把握技巧,把力用在刀刃上。只有这样双管齐下,才能在考试中取得理想的成绩。
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