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题型:阅读理解-阅读单选 难度:0.4 引用次数:124 题号:21278611

Ada Palmer is a professor of European history at the University of Chicago. Her science-fiction series, Terra Ignota, was inspired by 18th-century philosophers such as Voltaire and Diderot. “I wanted to write a story that Voltaire might have written if Voltaire had be enable to read the last 70 years’ worth of science fiction and have all of those tools available (可获得的) for his use,” Palmer says in a radio program called Geek’s Guide to the Galaxy.

Palmer says that Voltaire could actually be considered the first sci-fic writer, thanks to a place he wrote in 1752. “Voltaire has a short story called Micromégas, in which an alien from Saturn and an alien from a star near Sirius come to Earth. They are extremely big in size. They explore Earth and have trouble finding life forms because to them a whale is the size of a flea (跳蚤)”, she says. They eventually realize that the tiny little spot of wood on the ground is a ship, and it’s full of living things, including humans, and they make contact. So it’s a first-contact story.

Mary Shelley’s 1818 novel Frankenstein is often considered the first sci-fi novel. Voltaire was writing much earlier than Shelley, so should he have the title instead? It depends on your definition (定义) of science fiction. “Micromégas doesn’t involve technology,” Palmer says, “so if you define science fiction as depending upon technology—and being about, in the Frankenstein sense. Is man’s knowledge giving us access to powers beyond what we’ve had before? What does that mean?’—it isn’t asking that. But ‘aliens and first contact’ is a very significant science fictional element.”

So there’s no obvious answer to the question of who should be considered the first sci-fi writer. Palmer says it’s more important to ask the question than to arrive at any particular answer. “I don’t want to argue, ‘Yes, definitely, everybody’s histories of science fiction should start with Voltaire,” she says. “But I do want to argue that everybody’s histories of science fiction will be richer by discussing whether Voltaire is the beginning of science fiction, or whether it’s earlier or whether it’s later. Because that gets at the question of what science fiction is.”

1. What do we know about Micromégas according to the text?
A.It is widely accepted as a science-fiction story.
B.It has a big influence on today’s science fiction.
C.Its main characters have trouble finding humans.
D.Its content is about humans’ exploration of space.
2. Why does Ada Palmer regard Voltaire as a sci-fi writer?
A.One of his stories focuses on technology.B.His story involves aliens from other planets.
C.He described human-alien contact in a story.D.Her science fiction was inspired by his writing.
3. What does Ada Palmer really want to discuss when it comes to science fiction?
A.Its true origin.B.What it can cover.
C.Its colourful expressions.D.Why it is interesting.
4. What can be a suitable title for the text?
A.Ada Palmer and science fiction.B.Was Voltaire the first sci-fi author?
C.Technology’s role in science fiction.D.What is science fiction really about?
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文章大意:这是一篇说明文。文章主要介绍了一项研究发现,以辛勤工作著称的科学家比被视为天生才华横溢的科学家更鼓舞人心。

【推荐1】Role models are important for inspiring scientists, but new research suggest that scientists who are known for their hard work are more encouraging than scientists who are viewed as naturally brilliant.

In a series of studies, researchers found that young people were more motivated by scientists whose success was connected with efforts than those whose success was because of natural intelligence, even if that scientist was Albert Einstein.

Danfei Hu, a doctoral student at the Pennsylvania State University, and Janet N. Ann, an assistant professor of Psychology at William Paterson University, said the findings—recently published in Basic and Applied Social Psychology—will help deal with the certain secret about what it takes to succeed in science.

According to the researchers, there is concern in the science community with the number of students who run after careers in science during school only to drop out of those career paths once they graduate from college. To help solve the problem, Hu and Ann wanted to research role models, who give the students specific goals, behavior or strategies they can follow.

The researchers performed studies with 176 and 162 participants in each study respectively. In the first study, all participants read the same story about common struggles a scientist met in his science career. However, half were told the story was about Einstein, while half were told it was about Thomas Edison. Although the stories were the same, participants were more likely to believe natural brilliance was the reason for Einstein’s success. In addition, the participants who believe the story was about Edison were more motivated to complete a series of maths problems.

“This proved that people generally seem to view Einstein as a genius, with his success commonly linked to extraordinary talent,” Hu said. “Edison, on the other hand, is known for failing more than 1,000 times when trying to create the light bulb, and his success is linked to his efforts.” Hu added, “Knowing that something great can be achieved through hard work and efforts, more students will step into the science career confidently.”

1. What kind of scientist is more encouraging?
A.Those who are famous around the world.
B.Those who are viewed as naturally brilliant.
C.Those who are famous for their hard work.
D.Those who are viewed as great inventors.
2. What is the concern in the science community?
A.There are fewer role models for students to follow.
B.Some scientists cannot give students specific goals.
C.The students will drop out of school soon.
D.Fewer students will work on science.
3. Why were some participants motivated to complete a series of maths problems?
A.They knew the problems were given by Edison.
B.They believed they could solve the problems by working hard.
C.They believed they were as intelligent as Einstein.
D.They knew they were to work together with Einstein and Edison.
4. What is the best title for the text?
A.Einstein Is Less Encouraging Than Edison
B.Edison’s Achievements Are Greater
C.How to Be a Great Scientist
D.Einstein’s Success Story
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【推荐2】In 2009 Daphna Joel, a neuroscientist at Tel Aviv University, decided to teach a course on the psychology of gender. She had long been interested in questions of gender, but as a scientist, her research had been mostly on the causes of certain abnormal behaviors. To prepare for the class, Joel spent a year reviewing much of the extensive and polarized literature on gender differences in the brain. The hundreds of papers covered everything from variations in the size of specific structures in rats to the possible roots of male aggression and female empathy(共情)in humans. At the beginning, Joel shared a popularly held assumption: sex differences would produce two different forms of brains - one female, the other male.

As she continued reading, Joel came across a paper against that idea. The study, published in 2001 by Tracey Shors and her colleagues at Rutgers University, concerned a detail of the rat brain: tiny protrusions(突出物)on brain cells, called dendritic spines, that regulate transmission of electrical signals. The researchers showed that when estrogen(雌激素)levels were elevated, female rats had more dendritic spines than males did. Shors also found that when male and female rats were subjected to the stressful event of having their tails shocked, their brain responded in opposite ways: males grew more spines; females ended up with fewer.

From this unexpected finding, Joel developed a hypothesis(假设)about sex differences in the brain that has stirred up debates in a field already steeped in it. Instead of thinking brain areas differ between females and males, she suggested that we should consider our brain as a "mosaic", arranged from a collection of variable, sometimes changeable, male and female features. That variability itself and the behavioral overlap between the sexes - aggressive females and empathetic males and even men and women who display both characteristics - suggest that brains cannot be divided into one of two distinct categories. That human brain in neither male nor female, Joel says. With her colleagues at Tel Aviv, the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany, and the University of Zurich, Joel tested her idea by analyzing MRI brain scans of more than 1,400 brains and demonstrated that most of them did indeed contain both male and female characteristic. "We all belong to a single, very similar population," she says.

When Joel's work was published in 2015 in the Proceedings of the National Academy of Sciences USA, like-minded scientists considered it as a breakthrough. "The result is a major challenge to the long-held misconceptions," wrote Gina Rippon, a professor at Aston University in England. "My hope is it will be a game-changer for the 21st century."

1. Which of the following did Daphna Joel most probably agree with at the beginning?
A.Female brains were different from male brains.
B.The human brain shared something with the rats'.
C.Rats shouldn't be used for the purpose of research.
D.There wasn't enough literature on gender differences.
2. What can be inferred from Tracey Shors' research findings?
A.Rats' brains responded to stress in an expected way.
B.Dendritic spines in the brain helped regulate estrogen levels.
C.Electrical signals contribute to the growth of dendritic spines.
D.Male rats didn't always grow more dendritic spines than female ones.
3. What does Joel believe concerning the human brain?
A.There are more than two distinct categories of brains.
B.One's brain doesn't always stay the same all through his life.
C.People have either more female characteristics or more male ones.
D.It is necessary to explore the difference between male and female brains.
4. Which of the following is the best title of the passage?
A.Is there a "female" brain?B.Is the brain worth studying?
C.Is the human brain complicated?D.Is that a challenge to the human brain?
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【推荐3】Up-skilling is the future - but it must work for everyone

Automation and job replacement will be one of the most significant challenges for the global economy of the coming decades. A 2017 Mckinsey report established that 375 million workers will need to switch occupational categories by 2030. The World Economic Forum suggests that by 2022, automation will replace 75 million jobs globally - but create 133 million new ones.

Research into the likelihood that a job will be impacted by digitization has largely focused on the "auto-matability" of the role and the following economic regional and political effects of this. What this research doesn't take into account is something more important for the millions of taxi drivers and retail workers across the globe: their likelihood of being able to change to another job that isn't automatable. Recent research suggests that the answer to this may be that the skills that enable workers to move up the ladder to more complex roles within their current areas might be less important than broader skills that will enable workers to change across divisions.

In July, Amazon announced that it would spend $700 million retraining around 30% of its 300,000 US workforce. While praiseworthy, it will be interesting to see the outcome. In the UK, the National Retraining Scheme has largely been led by employers, meaning that those on zero-hours contracts and part-time workers - often low-skilled --- will miss out. Governance will be a crucial element of ensuring that such schemes focus on individuals and life-long learning, rather than upskilling workers into roles that will soon also face automation.

According to the Mckinsey report, "growing awareness of the scale of the task ahead has yet to translate into action. Public spending on labour-force training and support has fallen for years in most member countries of the Organization for Economic Co-Operation and Development," which impacts more than just the low-skilled.

The global impact of automation is also put into relief by research demonstrating that, between 1988 and 2015, income inequality increased throughout the world. Billions of people do not have the essentials of life as defined by the UN Sustainable Development goals.

Alongside climate change, automation is arguably tech's biggest challenge. As with globalization, governments and employers -- and us workers -- ignore its potential consequences at risk to ourselves.

1. It can be known from Paragraph 2 that ________.
A.recent research has found ways to face automation
B.broad skills are of great significance in changing jobs
C.regional economy can affect the automatability of a job
D.it is even harder for workers to move up the social ladder
2. What is the author's attitude towards retraining programs?
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A.Less spending on trainingB.A slowdown of globalization
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