1 . Running is often tiring and a lot of hard work, but nothing beats the feeling you get after finishing a long workout around the track.
But while it’s long been believed that endorphins (内啡肽) —chemicals in the body that cause happiness—are behind the so-called “runner’s high”, a study suggested that there may be more to this phenomenon than we previously knew.
According to a recent study published by a group of scientists from several German universities, a group of chemicals called endocannabinoids (内源性大麻素) may actually be responsible for this familiar great feeling.
To test this theory, the scientists turned to mice. Both mice and humans release high levels of endorphins and endocannabinoids after exercise. After exercising on running wheels, the mice seemed happy and relaxed and displayed no signs of anxiety. But after being given a drug to block their endorphins, the mice’s behavior didn’t seem to change. However, when their endocannabinoids were blocked with a different drug, their runners’ high symptoms seemed to fade.
“The long-held notion of endorphins being responsible for the runner’s high is false. Endorphins are effective pain relievers, but only when it comes to the pain in your body and muscles you feel after working out,” Patrick Lucas Austin wrote on science blog Lifchacker.
Similar studies are yet to be carried out on humans, but it’s already known that exercise is a highly effective way to get rid of stress or anxiety. The UK’s National Health Service even prescribes (开药 方) exercise to patients who are suffering from depression. “Being depressed can leave you feeling low in energy, which might put you off being more active. Regular exercise can improve your mood if you have depression, and its especially useful for people with mild to moderate (中等的) depression,” it wrote on its website.
It seems like nothing can beat that feeling we get after a good workout, even if we don’t fully understand where it comes from. At least if we’re feeling down, we know that all we have to do is to put on our running shoes.
1. What did scientists from German universities recently discover?A.Working out is a highly effective way to treat depression. |
B.The runner’s high could be caused by endocannabinoids. |
C.Endorphins may contribute to one’s high spirits after running. |
D.The level of endorphins and endocannabinoids could affect one’s mood. |
A.To find what reduces the runner’s high symptoms. |
B.To see the specific symptoms of the runner’s high. |
C.To identify what is responsible for the runner’s high. |
D.To test what influences the level of endocannabinoids released. |
A.Effect. | B.Goal. | C.Opinion. | D.Question |
A.They can help ease depression symptoms. |
B.They are the best way to treat depression. |
C.They only work for those with serious depression. |
D.They can help people completely recover from depression. |
Hi, everyone.
Traditionally,
Of course, the events of 2020 haven’t shown a lot of respect for our traditions. In a year of so much tragedy, it can be tough to give thanks when you’re doing your best to get by. And far too many of us will have to gather around a table with an empty chair, if we were able to gather together at all.
One thing, though, we can say about 2020 is that it forced us all to cherish what is most important, what’s most meaningful in our lives. To stop taking things for granted,
Throughout this challenging year, I’ve been moved, again and again, by the sacrifices so many were willing to make on behalf of others. The healthcare professionals who risked their lives to save ours. The workers who have kept our lights on and our shelves stocked, always essential to our economy, but finally
These are exactly the leaders Michelle and I started our Foundation to support. We always thought they
What we learned in 2020 is that these emerging leaders aren’t just building a brighter future, they’re safeguarding our present. In hard times, they are the ones who’ve given me solace. It’s
Merry Christmas and Happy Holidays, everybody.
—Quoted from Barack Obama’s Christmas speech in 2020
3 . You’re running late for work and you can’t find your keys: What’s really annoying is that in your search, you pick up and move them without realizing. This may be because the brain systems involved in the task are working at different speeds, with the system responsible for perception(感知)unable to keep pace.
So says Grayden Solman and his colleagues at the University of Waterloo in Ontario, Canada. To investigate how we search, Solman’s team created a simple computer-based task that involved searching through a pile of colored shapes on a computer screen. Volunteers were instructed to find a specific shapes as quickly as possible, while the computer monitored their actions.“Between 10 and 20 percent of the time, they would miss the object,”says Solman, even though they picked it up.“We thought that was remarkably often.”
To find out why, the team developed a number of further experiments. To check whether volunteers were just forgetting their target, they gave a new group a list of items to memorize before the search task, which they had to recall afterwards.
The idea was to fill each volunteer’s“memory load”,so that they were unable to hold any other information in their short-term memory. Although this was expected to have a negative effect on their performance at the search task, the extra load made no difference to the percentage of mistakes volunteers made.
To check that the volunteers were paying enough attention to the items they were moving, Solman’s team created another task involving a pile of cards marked with shapes that only became visible while the card was being moved. Again, they were surprised to see the same level of error, says Solman. Finally, the team analyzed participants’ mouse movements as they were carrying out a similar search task. They discovered that volunteers’ movements were slower after they had moved and missed their target.
Solman’s team propose that the system in the brain that deals with movement is running too quickly for the visual system to keep up. While you are searching around a messy house to find your keys, you might not be giving your visual system enough time to work out what each object is. Since time can be costly, sacrificing accuracy on occasion for speed might be beneficial overall, Solman thinks.
The slowing of mouse movements suggests that at some level the volunteers were aware that they had missed their target, a theory that is backed up by other studies that show people tend to slow down their actions after they have made a mistake, even if they don’t consciously realize the mistake.
1. What conclusion has Solman drawn from the first task?A.More volunteers are needed to confirm the findings. |
B.It happens very often that people miss what they intend to find. |
C.Computers make negative effects on how people perform at the task. |
D.Targets tend to be forgotten after people search for 10 minutes or more. |
A.Cards marked with shapes may become a source of distraction. |
B.Fewer errors will be made if people are forbidden to move cards. |
C.People may be absent-minded even when they are moving something. |
D.Volunteers prefer to use a mouse to control the objects on the computer screen. |
A.Mistakes will cause people to reduce the speed. |
B.Our visual system can’t keep up with the brain system. |
C.The faster people move, the more mistakes they will make. |
D.People’s actions are independent of the mistakes they make. |
A.Better memory, worse search |
B.Accuracy speaks louder than speed |
C.Hurry up, or you will make mistakes |
D.Slow down your search to find your keys |
Why true happiness isn't about being happy all the time
Over the past two decades, the positive psychology movement has brightened up psychological rescarch with its science of happiness and human potential. It argues that psychologists should not only investigate mental illness but also what makes life worth living.
The founding father of positive psychology, Martin Seligman, describes happiness as experiencing frequent positive emotions, such as joy, excitement and satisfaction, combined with deeper feelings of meaning and purpose. It implies a positive attitude in the present and an optimistic outlook for the future. Importantly, happiness experts have argued that happiness is not a stable ,unchangeable feature but something flexible that we can work on and eventually strive towards.
Recent research indicates that psychological flexibility is the key to greater happiness and well-being.For example,being open to emotional experiences and the ability to endure periods of discomfort can allow us to move towards a richer, more meaningful existence. Studies have also demonstrated that the way we respond to the circumstances of our lives has more influence on our happiness than the events themselves. Experiencing stress, sadness and anxiety in the short term doesn't mean we can't be happy in the long term. Putting up with sorrow can make us tougher and lead us to take action in our lives, such as changing jobs or overcoming hardship. Often when people have faced difficulty, illness or loss, they describe their lives as happier and more meaningful as a result.
Unlike feeling happy, which is a temporary state, leading a happier life is about individual growth through finding meaning. It is about accepting our humanity with all its ups and downs, enjoying the positive emotions, and making use of painful feelings in order to reach our full potential.
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5 . In “minority report”, a policeman played by Tom Cruise, gathers information from three psychics (通灵者) and arrests future criminals before they break the law. In the real world, prediction is more difficult. But it may no longer be science fiction, thanks to the growing predictive power of computers. That prospect scares some, but it could be a force for good-if it is done right.
Machine learning, a branch of artificial intelligence, can lead to remarkably accurate predictions. It works by chewing vast quantities of data in search of patterns. Take, for example, restaurant hygiene (卫生). The system learns which combinations of sometimes vague factors are most suggestive of a problem. Once trained, it can assess the risk that a restaurant is dirty. The Boston mayor’s office is testing just such an approach, using data from online reviews.This has led to a 25% rise in the number of spot inspections that uncover offences.
Governments are taking notice, A London district is developing an algorithm (运算法则) to predict who might become homeless. In India Microsoft is helping schools predict which students are at risk of dropping out. Machine-learning predictions can mean government services arrive earlier and are better targeted. Researchers behind an algorithm designed to help judges make bail (保释) decisions claim it can predict likelihood of committing crimes again so effectively that the same number of people could be bailed as are at present by judges, but with 20% less crime.To get a similar reduction in crime across America, they say, would require an extra 20,000 police officers at a cost of $2.6 billion.
But computer-based predictions are sometimes debatable. ProPublica, an investigative-journalism outfit, claims that a risk assessment in Bmoward County, Florida, wrongly labelled black people as future criminals nearly twice as often as it wrongly labelled whites. Citizens complain that decisions which affect them are taken on incomprehensible grounds.
These problems are real, but they should not spell the end for machine learning as a policy tool. Instead, the priority should be to establish some ground rules and to win public confidence.The first step is to focus machine learning on applications where people stand to gain extra help at school, say, rather than extra time in jail.
1. The example of restaurants is used in paragraph 2 in order to _________.A.illustrate how accurate the predictions are |
B.urge that the government should take action |
C.stress that vague factors can make a difference |
D.show how machine learning changes people’s lifestyle |
A.More money would be spent to uncover offences. |
B.More policemen would be required to reduce crime. |
C.Less crime has been reported since the algorithm was applied. |
D.Fewer people that are likely to commit crimes would be bailed. |
A.In which area machine learning is applied matters. |
B.Machine learning as a policy tool is coming to a dead end. |
C.Public confidence in computer-based predictions is increasing. |
D.The government should not rely on computer-based predictions. |
A.Clever computers | B.The power of learning |
C.The government that depends on AI | D.Decisions that contribute to better algorithm |
A delivered B management C overlooked D.products E.rural F. shifted G.strategies H.sufficient I. tremendous J.urbanisation K.worst |
National governments neglecting development needs of cities
National governments around the world are neglecting the needs of their major cities with non-existent or inadequate development policies, a new report has found. National governments are key to making cities more sustainable, because cities are limited distinctly in the policy measures they can take for themselves, the report points out. However, only a quarter of the world’s governments have urban development policies at all, and most of those that do exist are far from
The report looks at the key measures of energy production, transport, waste
The report, from the Stockholm Environment Institute and the Coalition for Urban Transitions and funded by Bloomberg Philanthropies, suggests national governments have
Cities around the world are facing rapid population growth, and are likely to be among the areas
Scrolling through your WeChat moments, you came across a post saying: “I just got accepted to Harvard AND Oxford! Are they sure they didn't mix my applications up with somebody else?!" This person is clearly humblebragging. The term“humblebrag'"was first coined to describe when someone makes a seemingly modest statement, but the actual purpose is to bring attention to something they are proud of.
Although those who humblebrag think it will make them more likable because they aren't loudly boasting about their triumphs,a study published in the Journal of Personality and Social
Psychology showed that humblebragging actually has the opposite effect. "Humblebragging backfires because it seems very fake. That 'woe is me' attitude combined with self-promotion does not lead to a favorable impression,"said Ovul Sezer,the lead author of the study."Even simply bragging or complaining is better, because at least those messages are seen as more sincere."
Sezer's study also found that nearly 60 percent of humblebrags were complaint-based humblebragging, with most people humblebragging about their looks, followed by their money or wealth, and finally about their performance at work.“It's such a common phenomenon. All of us know some people in our lives, whether in social media or in the workplace, who do this annoying thing,"commented Sezer, adding that we all do it to some extent.
So, if you want to share your achievements with others, what's the best way to do it then? Sezer suggests that people“own their self-promotion and reap the rewards of being sincere". She also suggested finding a wingman:"If someone brags for you,that's the best thing that can happen to you, because then you don't seem like you're bragging.
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A. boost B.capabilities C.ceaseless D.effects E.evolve F. historic G.identify H.initiative I. interconnected J.miraculously K.seriously |
Currently, many of the brainy gadgets being developed for the Internet of Things will anticipate our needs and make choices for us--without being told what to do--marking a(n)
As we turn more of our decision-making over to the devices,they will
But social scientists and others worry these computerized devices might make decisions that are
Stanford University researchers believe society may be profoundly impacted by Internet-of-Things machines blessed with humanlike
Understanding such
One of the most important New Year's resolutions
Children between the ages of 8 and 11 who spend more than two hours a day looking at screens were associated with lower cognitive function than those who engaged in less screen time, according to researchers who published a study in The Lancet in September. While researchers noted there is no causal link, they wrote,“Emerging evidence suggests that mobile device and social media uses have an unfavorable relationship with attention, memory, impulse control, and academic performance”--- perhaps
The Times also reported many elite schools are moving towards eliminating or reducing screens, while many public schools are touting technology in classrooms.
And
New Year's celebrations are the perfect time to get the whole family to look up from their screens
10 . Gyms that profit most from the January rush
Every year, like clockwork, many people go through the same routine. On December 26th and January 1st, as the fog of cheese, chocolate oranges and champagne lifts, regret creeps(悄悄出现)in. Online searches for “get fit” and “lose weight” increase.
Many gym recruits(新成员)will have their new sportswear on for high-intensity interval training. In the basement of Another Space, a club near London’s Leicester Square, music pumps and light flash as a trainer shouts instructions to a group of mostly young women. They are pushed through bursts of burpees, handclap push-ups and various kick and punches at boxing bags. The training is murderous.
They are at one end of a fitness market.
Pure Gym expects soon to reach 1 million members. Part of its appeal is that, unlike traditional gyms, members are not bound by a long contract. “We have taken a £500 decision and turned it into a £20 decision,” says Mr Cobbold.
A.There will be other ripple effects(连锁反应), too. |
B.That will be good news for some gym goers because many will soon suffer a second round of regret. |
C.However, the club’s luxurious changing rooms and bars relieve some of the pain. |
D.Health clubs of all shapes and sizes stand ready to respond. |
E.Spending on fashion items also increases around the time of joining a gym. |
F.At the other are budget gyms, which have accounted for the big part of gym growth in recent years. |