1 . It’s late in the evening, time to close the book and turn off the computer. You’re done for the day. What you may not realize, however, is that the learning process actually continues in your dreams.
It might sound like science fiction, but researchers are increasingly focusing on the relationship between the knowledge and skills our brains absorb during the day and the often strange imaginings they generate at night. Scientists have found that dreaming about a task we’ve learned improves performance in that activity (suggesting that there’s some truth to the popular idea that we’re “getting” a foreign language once we begin dreaming in it). What’s more, dreaming may be an essential part of understanding, organizing and retaining what we learn.
While we sleep, research indicates, the brain replays the patterns of activity it experienced during waking hours, allowing us to enter what one psychologist calls a neural (神经的) virtual reality. A vivid example of such replay can be seen in a video researchers made recently about sleep disorders. They taught a series of dance moves to patients suffering from sleepwalking and related conditions. They then videotaped the subjects as they slept. Lying in bed, eyes closed, one female patient on the tape performs the dance moves she learned earlier.
This shows that while our bodies are at rest, our brains are drawing what’s important from the information and events we’ve recently encountered, then integrating that material into the vast store of what we already know. In a 2010 study, researchers reported that college students who dreamed about a computer maze (迷宫) task they had learned showed a 10-fold improvement in their ability to find their way through the maze compared with participants who did not dream about the task.
That study’s chief researcher Herbert Smith suggested that studying right before bedtime or taking a nap following a study session in the afternoon might increase the probability of dreaming about the material. Think about that as you go to sleep tonight.
1. What happens when one enters a dream state?| A．The body continues to act as if the sleeper were awake. |
| B．The neural activity of the brain will become intensified. |
| C．The brain once again experiences the learning activities of the day. |
| D．The brain behaves as if it were playing a virtual reality video game. |
| A．It replaces old information with new material. |
| B．It processes and absorbs newly acquired information. |
| C．It regroups information and places it in different files. |
| D．It systematizes all the information collected during the day. |
| A．Staying up late before finally going to bed. |
| B．Having a period of sleep right after studying. |
| C．Having a dream about anything you are interested in. |
| D．Thinking about the chances of dreaming about the material. |
| A．How study affects people’s dreams. |
| B．Why people learn more after sleeping. |
| C．What time students should study and sleep. |
| D．How dreaming may lead to improved learning outcomes. |
2 . Art has always been a polarizing(分化的)subject.Some people like realism,others like abstract.But do you know why some people value art in the millions,while others see the same piece as little more than a child’s finger painting?
Many consider art to be quite random in terms of our likes and dislikes.But according to new research,there may actually be a scientific reason behind our fondness for certain works.The answer lies in how a person’s brain breaks down the visuals(视觉效果)of a painting combined with their judgment.
To prove their theory,neuroscientist(神经科学家)Kiyohito Iigaya and his team from the California Institute of Technology(Caltech)gathered more than 1,300 volunteers and asked them to rate 825 different paintings from four different art genres(类型).
After analyzing the data,scientists found that the same groups of people tended to prefer similar aspects of the same paintings.These characteristics were then grouped into“low-level”features like color and blending,and“high-level”features like the emotion behind the painting.
From this experiment,Caltech’s system was then able to predict an individual’s specific taste in art and organize different works into one group,according to the paintings’features and volunteers’preferences.
In a second test,researchers repeated the experiment on six volunteers,showing each 1,000 paintings while inside an MRI—a machine that scans a person’s brain activity.The test revealed(揭示)that the different features of a painting are sent to the part of the brain that deals with valuing items,allowing someone to form their overall opinion.
Finally,the team repeated the first test on new volunteers.Again,the algorithm(算法)was able to accurately predict individuals’art preferences.According to Iigaya,this shows that the factors that contribute to whether a person likes an image are universal,not random.
Lesley Fellows,a neurologist at McGill University who studies value judgments,stated,“We know a lot about‘how’the brain carries out actions,but‘why’is far less well understood.”
1. What did the Caltech team try to discover?| A．What kinds of artwork appeal to people. |
| B．Why only some people value art. |
| C．Whether an individual’s preference for art is predictable. |
| D．Whether one’s mood influences their opinion of artwork. |
| A．Some features of paintings were categorized（分类）. |
| B．It helped decide the types of paintings to be used. |
| C．Part of the brain to process paintings was identified. |
| D．Volunteers were grouped based on their response. |
| A．The brain reacted differently to different paintings. |
| B．MRIs influence people’s opinion of paintings. |
| C．Individuals have different valuing systems in their brain. |
| D．A certain part of the brain helps people judge paintings. |
| A．To question the Caltech team’s research. |
| B．To approve of the research on why we make value judgments. |
| C．To show there is still a lot left to learn about the brain. |
| D．To point out the focus of the future brain research. |
3 . Experienced⁃Based Education
Everyone is familiar with traditional education. You sit in a class and a teacher teaches. This is an important part of development. But at some point, every individual has to take charge of their own education. To do this, one must look at the root of learning.
Basically, unfamiliar experiences usually add more value than experiences that are familiar.
High school is a new experience. College is a new experience. However, at some point traditional education becomes repetitive. It is not that you won’t learn anything else, but that the environment is so familiar.
To solve this, an individual needs to introduce new experiences into their life. You may spend a summer in a different part of the country or learn a new language through trial and error. You can also go to a drive⁃in movie（or some other entertainment event that is new to you）.
These types of experiences often result in very little“book knowledge”. Instead, they will often provide you with a better understanding of yourself as you experience your reaction to different situations.
| A．Has education changed so much in the last decade? |
| B．They will also provide you with a better understanding of others. |
| C．Those new experiences may not lead to great personal development. |
| D．These are all things that can stretch and expand your experience in life. |
| E．This is because unfamiliar experiences require much more of our attention. |
| F．As a result, you can easily become less aware of your experience and not learn as much. |
| G．What makes some experiences add great value to our lives while other experiences do not? |
4 . A block chain is a data structure that stores time-ordered data in an ever-growing list, like an accounting ledger (分类账簿). The block chain data structure is maintained using a distributed, peer-to-peer network of computers with no central “master”. As with many new concepts, block chain technology generates much optimism and also a huge amount of interest and excitement. Just what is it good for?
In short, block chains may improve any process where people need to access, confirm, send or store information securely. This information could be a person’s identity, a product’s shipment history or digital property like money.
Typical databases, spreadsheets (电子数据表), and ledgers store information about objects, people, and the interactions between them. Much of the world’s information, from credit card transactions to medical and financial records, is stored in these types of systems.
These types of systems have considerable, well-documented weaknesses that arise from their being centralized. A centralized record is hard to understand and is exposed to unauthorized access or distribution. It is also, because it is a ‘master’ copy, exposed to permanent changing or deletion.
Block chains are also used to store information. Crucially, however, they differ in two ways.
First, information is parceled up into blocks and sealed. Bitcoin, for example, which is the most famous practical example of a production block chain, stores all transactions across the network every ten minutes or so in a single, newly formed block. Each block is then added to the previous one to form a chain.
Second, this “chain of blocks” is not stored centrally. Instead, each block is copied and distributed around an entire network of peers - be they individuals, public institutions, or businesses - using distributed ledger technology. (The terms “block chain” and “distributed ledger” are often used interchangeably; for the sake of clarity, block chain technologies tend to employ distributed ledger technology.)
Each time someone adds a new block to the chain, meanwhile it is added to everyone’s copy.
1. What is the biggest strength of a block chain?| A．It promotes people’s enthusiasm about new technology. |
| B．It strengthens the security of processing information. |
| C．It enables people to store more data in time order. |
| D．It stores a large part of world’s information. |
| A．they are difficult to operate | B．they can be accessed easily |
| C．they have a central “master” | D．they store considerable documents |
| A．making comparisons | B．giving examples |
| C．making a list | D．showing the effect and causes |
| A．To analyze the weaknesses of typical systems. |
| B．To encourage the popularity of the block chain. |
| C．To introduce the new concept of the block chain. |
| D．To compare the two different data structures. |
5 . If you wear glasses, chances are you are smarter. Research published in the famous British journal Nature Communications has found that people who displayed higher levels of intelligence were almost 30 percent more likely to wear glasses.
The scientists studied the genes of thousands of people between the ages of 16 and 102.The study showed intelligence can be connected to physical characteristics. One characteristic was eyesight. In out of 10 people who were more intelligent, there was a higher chance they needed glasses. Scientists also said being smarter has other benefits. It is connected to better health.
It is important to remember these are connections which are not proven causes. Scientists call this correlation. Just because something is connected to something else does not mean one of those things caused the other. And it’s worth noting that what constitutes intelligence is subjective and can be difficult, if not impossible, to measure.
Forget genes though. Plenty of proof shows wearing glasses makes people think you are more intelligent, even if you do not need glasses. A number of studies have found people who wear glasses are seen as smarter, hard-working and honest. Many lawyers use this idea to help win their cases. Lawyer Harvey Solves explained this. Glasses soften their appearance. He said Sometimes there has been a huge amount of proof showing that people he was defending broke the law. He had them wear glasses and they weren’t found guilty.
Glasses are also used to show someone is intelligent in movies and on TV. Ideas about people who wear glasses have begun to shift. People who do not need glasses sometimes wear them for fashion only. They want to look worldly or cool. But not everyone is impressed by this idea, though. GQ magazine said people who wear glasses for fashion are trying too hard to look smart and hip (时髦的). However, that hasn’t stopped many celebrities from happily wearing glasses even if they do not need them. Justin Bieber is just one high-profile fan of fashion glasses.
1. What does the new study show?| A．People wearing glasses are smarter. |
| B．People wearing glasses are healthier. |
| C．Wearing glasses can make people cleverer. |
| D．Wearing glasses is associated with higher IQ. |
| A．Shift. | B．Link. | C．Proof. | D．Consequence. |
| A．Because it can create a moral image. |
| B．Because it can mislead the witnesses. |
| C．Because it can highlight clients’ qualities. |
| D．Because it can prove the clients’ innocence. |
| A．Positive. | B．Negative. | C．Mixed | D．Indifferent. |
6 . A robot created by Washington State University (WSU) scientists could help elderly people with dementia (痴呆) and other limitations live independently in their own homes.
The Robot Activity Support System, or RAS, uses sensors installed in a WSU smart home to determine where its residents are, what they are doing and when they need assistance with daily activities. It navigates (定位) through rooms and around obstacles to find people on its own, provides video instructions on how to do simple tasks and can even lead its owner to objects like their medication or a snack in the kitchen.
“RAS combines the convenience of a mobile robot with the activity detection technology of a WSU smart home to provide assistance in the moment, as the need for help is detected,” said Bryan Minor, a postdoctoral researcher in the WSU School of Electrical Engineering and Computer Science.
Currently, an estimated 50 percent of adults over the age of 85 need assistance with every day activities such as preparing meals and taking medication and the annual cost for this assistance in the US is nearly $2 trillion. With the number of adults over 85 expected to triple by 2050, researchers hope that technologies like RAS and the WSU smart home will relieve some of the financial strain on the healthcare system by making it easier for older adults to live alone.
RAS is the first robot researchers have tried to incorporate into their smart home environment. They recently published a study in the journal Cognitive Systems Research that demonstrates how RAS could make life easier for older adults struggling to live independently.
“While we are still in an early stage of development, our initial results with RAS have been promising,” Minor said. “The next step in the research will be to test RAS’ performance with a group of older adults to get a better idea of what prompts, video reminders and other preferences they have regarding the robot.”
1. How does RAS serve elderly people?| A．Through sensors. | B．Through objects. |
| C．Through a mobile robot. | D．Through their daily activities. |
| A．It is the first robot used in daily life. | B．Its function remains to be tested. |
| C．It can locate people and do any task. | D．It can cook for owners on its own. |
| A．Doubtful. | B．Negative. |
| C．Optimistic. | D．Uncertain. |
| A．Elderly people leave the nursing home. |
| B．Smart Home Tests first elder-Care robot. |
| C．RAS, the first robot to make home smart. |
| D．Older adults have benefited from RAS. |
7 . Google previously announced successful tests of machine learning systems designed to assist doctors. In one case, Google reported AI had examined eye diseases with equal accuracy to doctors. Other tests showed that machine learning can be used to study large amounts of patient data to predict future medical events.
Now the company has published two new studies showing a high level of success in identifying metastatic breast cancer. Metastatic means that cancer has spread from its main area to other parts of the body. Metastatic breast cancer is one of the deadliest, causing about 90 percent of all breast cancer deaths worldwide.
In metastatic breast cancer patients, the cancer often travels to nearby lymph nodes(淋巴结). Usually doctors examine lymph node tissue under a microscope to see whether cancer is present. Google notes that previous studies have shown that up to one-fourth of metastatic lymph node classifications end up being changed after a second examination. In addition, studies show that small metastatic material can be missed up to 67 percent of the time when examinations happen under extreme time restrictions.
Google says it created a mathematical algorithm(算法). The algorithm, called Lymph Node Assistant, is trained to find characteristics of tissue affected by metastatic cancer. When the system examined tissue images(图像), it was able to differentiate between metastatic cancer and non-cancer 99 percent of the time. In addition, the Lymph Node Assistant is highly effective at finding the positions of the cancers. Some of these positions would be too small for doctors themselves to identify. The research also showed that the algorithm method can reduce the usual time needed to examine the disease by about 50 percent.
But Google makes clear the AI-based system is not meant to replace the work of medical professionals. Instead, it is designed to reduce the number of false identifications and help doctors work faster and more effectively.
1. What is the main idea of Paragraph 1?| A．Google became a pioneer in training doctors. |
| B．Machine learning is able to stop future medical events. |
| C．Google developed artificial intelligence to help doctors. |
| D．Artificial intelligence cured eye diseases with equal accuracy to doctors. |
| A．One-fourth of the metastatic breast cancer patients die in the end. |
| B．Metastatic breast cancer is very difficult to identify. |
| C．It results in 90 percent of deaths of all cancers. |
| D．It can be identified after a second examination. |
| A．It can offer effective treatment. |
| B．It can tell the exact positions of cancers |
| C．It costs 99 percent less time than before. |
| D．It improves the accuracy of identifying cancers by 50%. |
| A．False identification of cancers will be avoided. |
| B．More effective prevention of cancers will be found. |
| C．The number of medical professionals will be reduced. |
| D．Doctors can have a faster understanding of patients’ condition. |
8 . In a recent series of experiments at the University of California, researchers studied toddlers’ thinking about winners and losers, bullies (欺凌) and victims.
In the first experiment, toddlers (学步儿童) watched a scene in which two puppets (木偶) had conflicting goals: One was crossing a stage from right to left, and the other from left to right. The puppets met in the middle and stopped. Eventually one puppet bowed down and moved aside, letting the other one pass by. Then researchers asked the toddlers which puppet they liked. The result: 20 out of 23 toddlers picked the higher-status puppet — the one that did not bow or move aside. It seems that individuals can gain status for being dominant (占优势的) and toddlers like winners better than losers.
But then researchers had another question: Do toddlers like winners no matter how they win? So, researchers did another experiment very similar to the one described above. But this time, the conflict ended because one puppet knocked the other down and out of the way. Now when the toddlers were asked who they liked, the results were different: Only 4 out of 23 children liked the winner.
These data suggest that children already love a winner by the age of 21-31 months. This does not necessarily mean that the preference is inborn: 21 months is enough time to learn a lot of things. But if a preference for winners is something we learn, we appear to learn it quite early.
Even more interesting, the preference for winners is not absolute. Children in our study did not like a winner who knocked a competitor down. This suggests that already by the age of 21-31 months, children’s liking for winners is balanced with other social concerns, including perhaps a general preference for nice or helpful people over aggressive ones.
In a time when the news is full of stories of public figures who celebrate winning at all costs, these results give us much confidence. Humans understand dominance, but we also expect strong individuals to guide, protect and help others. This feels like good news.
1. One of the purposes of the experiments is to ________.| A．teach toddlers how to gain higher status |
| B．offer toddlers a chance to watch a scene |
| C．observe the process of toddlers’ solving a conflict |
| D．find out toddlers’ attitude toward winners and losers |
| A．obeying rules |
| B．gaining status |
| C．giving in to the other |
| D．showing good manners |
| A．They are excellent learners. |
| B．They are always changeable. |
| C．They show mercy to the loser. |
| D．They value kindness over winning. |
| A．Disappointing. | B．Encouraging. |
| C．Unexpected. | D．Controversial. |
9 . It is often difficult for farmers to identify diseases quickly enough to protect their crops and those on neighboring farms. Now, some farmers are using a simple device directly in the field to find viruses before they spread.
In Tanzania, several viruses are a threat to cassava crops. Farmers struggle to identify the diseases in an urgent effort to avoid severe crop damage. The disease identification process is often difficult when farmers are acting on their own. If they do not know what is attacking their crops, they cannot decide the best way to fight the disease. A device from British technology company Oxford Nanopore is changing that. The device extracts deoxyribonucleic acid, better known as DNA, from plants. DNA is the carrier of genetic information in nearly all living things. The device helps farmers identify what is harming their crops so they can change to more resistant crops.
Laura Boykin is with the University of Western Australia and also works with the Cassava Virus Action Project. She brought the device to a Tanzanian farm owned by Asha Mohamed. She said, “We are here collecting leaf punches from infected material to test, to do a DNA extraction and then start sequencing (排序) in the field.” The testing identified a number of viruses in the cassava fields near Mohamed’s farm. The process also discovered that plants considered resistant to disease had a very low viral level. Once the viruses were identified, Asha Mohamed was given two kinds of seeds that are resistant to the diseases.
In another case, DNA was collected from a pawpaw tree farm in Kenya. With that test, the technology was able to identify diseases affecting Naomi Mumo’s crops. Naomi Mumo said, “All my pawpaw were affected by a disease, and I didn’t know what kind of disease it was. But now, I have people who have identified the disease using new technology, and within a very short time. So I’m very happy.”
The speed at which farmers identify diseases can mean the difference between the success or failure on large areas of crop land. Now, the use of such simple and easily transportable DNA sequencing devices is making that possible.
1. What’s the main idea of the whole passage?| A．Farmers In Tanzania struggle to identify the diseases in their crops |
| B．How Laura Boykin helped Asha Mohamed to identify the viruses. |
| C．DNA sequencing device helps farmers to find viruses and identify the diseases in their crops quickly. |
| D．A DNA sequencing device helps farmers to identify the diseases and keep healthy. |
| A．produces | B．creates | C．refuses | D．gets |
| A．relaxed | B．satisfied | C．disappointed | D．annoyed |
| A．Farmers often have difficulty in identifying diseases in their crops quickly by themselves. |
| B．DNA carries genetic information in nearly all living things. |
| C．Both Asha Mohamed and Naomi Mumo are farmers in Tanzania. |
| D．If farmers can identify diseases in their crops quickly, they can protect their crops and succeed on large areas of crop land. |
10 . Don't get mad the next time you catch your teenager texting when he promised to be studying. He simply may not be able to resist. A University of lowa(UI) study found teenagers are far more sensitive than adults to the immediate effect or reward of their behaviors. The findings may help explain why the initial rush of texting may be more attractive for adolescents than the long-term pay off of studying.
"For the teenager, 'the rewards are attractive." says Professor Jatin Vaidya，an author of the study. "They draw adolescent. Sometimes, the rewards are a kind of motivation for them. Even when a behavior is no longer in a teenager's best interest to continue, they will, because the effect of the reward is still there and lasts much longer in adolescents than in adults ."
For parents,that means limiting distraction (分心的事情）so teenagers can make better choices. Take the homework and social media dilemma: At 9 p.m., shut off everything except a computer that has no access to Facehook or Twitter, the researchers advise. "I'm not saying they shouldn't be allowed access to technology," Vaidya says. But some help in netting their concentration is necessary for them so they can develop those impulse-control skills.”
In their study,Vaidya and co-author Shaun Vecera note researchers generally believe teenagers are impulsive（冲动的)，make bad decisions，and engage in risky behavior because the frontal lobes（额叶）of their trains are not fully developed. But the UI researchers wondered. whether something more fundamental was going on with adolescents to cause behaviors independent of higher-level reasoning.
"We wanted to try to understand the brain's reward system how it change from chillhood to adulthood," Says Vaidya, who adds the reward character in the human brain is easier than decision-making. “We've been trying to understand the reward process in adolescence and whether there is more to adolescence behavior than an under-developed frontal lobe,”he adds.For their study ,the researchers persuaded 40 adolescents, aged 13 and 16,and 40 adults, aged 20 and 35 to participate.
In the future,researchers hope to look into the psychological and neurological（神经学上的）aspects of their results.
1. What does the passage mainly tell us?| A．The initial rush of texting is less attractive for adolescents than the long-term pay off of studying. |
| B．Always, rewards are attractive to teenagers. |
| C．Resistance can be controlled well by adolescents. |
| D．Getting rewards is the greatest motivation for adolescents to study. |
| A．The influence of the reward is weak in adolescents. |
| B．Parents should help children in making decisions. |
| C．Children should have access to the Internet. |
| D．Children need help in refocusing their attention. |
| A．Doing things after some thought. |
| B．Making good decisions. |
| C．Joining in dangerous actions. |
| D．Escaping risky behavior. |
| A．By making a comparison of brain examinations. |
| B．By examining adults’ brain. |
| C．By examining teenage brain. |
| D．By building the train’s reward system. |
