Before discussing different kinds of emotions,let us briefly talk about how researchers measure bodily processes and action or behavior,and how this relates to what we do in our daily lives when we observe emotions in others.

    Bodily processes can be directly measured by means of a polygraph.When a polygraph is skillfully used to compare how we react bodily with what we are saying,it is called a “lie detector”.Bodily processes can also be measured indirectly.This is what we do when we observe someone blushing (脸红).However,we are not always aware of what bodily processes respond to.

    Measuring action or behavior is the other way researchers assess the emotions.For example,one measure of fear of snakes is how close a person will go to the snake.Another procedure is to have a person tell how afraid he is,or how he feels.In this way,researchers have developed the so－called “fear thermometer” to assess a person's fear.In our everyday living,we do very much the same thing.Only not too systematically,we react to what a person does, what he says,how he says it,and how he looks.Is he smiling? Is his voice trembling? We put all this observations together to infer what a person is feeling.

    However, we do not always act as we feel.Sometimes we do things that we don't feel like doing.Sometimes we say we feel one way and then we act another.Actors,for example,successfully learn to “make believe” emotions,or learn to hide them.Thus we cannot always tell what a person is feeling by what he says or by what he does.

    A famous study was done in a school by a professor from a university. At the start of the school year, the teachers were given the names of five children. They were told that these five were the most excellent students in the class. But the fact was that these students were only average, and they were not the best students at all. Well, guess what? At the end of the year, all the five average students scored among the highest in the class.

    What made these average students change so much to become top students? The only difference was the change in their teachers' attitude. Because the teachers believed that these five kids were the top students, they expected (期望) more from them. And so these five average students began to believe and expect more from themselves. So they worked harder to do as well as they could.

    Do you know why? If you expect the best from people, they'll usually want to give you their best. A great leader said, “Treat (对待) a person just how he appears to be on the outside, and you'll make him even worse. But treat a person like he's already a success, and you'll help make him the best he can be.”

    Like the true story of 7-year-old Johnny, his teacher got so angry with him that one day she said, “Johnny, you're the naughtiest (最顽皮的) boy in this class. I'm sure you'll never change.” The next year Johnny had a new teacher. And on the first day of class, she met with Johnny after school and said, “Johnny, I've heard a lot about you! But do you know that I don't believe a word of it.” And every day after that, this new teacher treated Johnny as if he was one of the smartest students even when Johnny did naughty things. Later on, Johnny became a school leader. Because that's the power of our belief and attitude toward children.

    Artificial intelligence (AI) technology may soon be a useful tool for doctors. It may help them better understand and treat diseases like breast cancer in ways that were never before possible.

    Rishi Rawat teaches AI at the University of Southern California's (USC) Clinical Science Center in Los Angeles. He is part of a team of scientists who are researching how AI and machine learning can more easily recognize cancerous growths in the breast. Rawat provides information about cancer cells to a computer. He says this data helps the machine learn. “…You can put the data into them and they will learn the patterns and the pattern recognition that's important to making decisions.”

    David Agus is another USC researcher. He believes that “machines are not going to take the place of doctors.” He adds, “Computers will not treat patients, but they will help make certain decisions and look for things that the human brain can't recognize these patterns by itself.”

    Once a confirmed cancerous growth is removed, doctors still have to treat the patient to reduce the risk of cancer returning. The form of treatment depends on the kind of cancer. Currently, researchers take a thin piece of tissue, put it on a small piece of glass and add color to better see the cells. This process could take days or even longer. Scientists say artificial intelligence can do something better than just count cells. Through machine learning, it can recognize complex patterns, or structures, and learn how the cells are organized. The hope is that machines will soon be able to make a quick diagnosis（诊断）of cancer that is free of human mistakes.

    “All of a sudden, we have the computing power to really do it in real time...We couldn't have done this, we didn't have the computing power to do this several years ago, but now it's all changed.” Agus adds that the process could be done “for almost no cost in the developing world.” He says that having a large amount of information about patients is important for a machine to effectively do its job in medicine.

    A doctor faces a series of critical decisions every day. The best a doctor can do is to make those decisions as informed as possible. Some of them are still hard to make. A doctor can ask people of whom he values their opinions and that's it. Imagine discussing these with an AI system that is even more rational（理性的）than anyone else.

    The University of Southern California researchers are now only studying breast cancer. But doctors predict artificial intelligence will one day make a difference in all forms of cancer.

    Many youths want to learn how to drive cars. This year one sixth of undergraduates in Beijing have registered at driving school. The students, mostly from majors such as business management or imitational trade, will finish their driving courses within 20 days or so.

    Training costs have dropped to 4, 500 yuan for students, according to the Haidian Driving School in Beijing. The price is not really low, but students will accept it, seeing it as an investment (投资) in their future. Familiarity with the operation of computers and fluent English are the basic skills graduating students need to find a job. But a driver s permit has become another factor (因素).

    "In the job market, owning a driver's permit sometimes strengthens a graduating student's competitiveness for a good position," says Li Hua, an undergraduate at the China University of Political Science and law.

    Cars will become a necessary part of many people's lives in the coming years, and it is difficult to get a permit out of campus because of the pressures on working people's time. "Having a full-time job after graduation offers limited time to learn to drive. We senior students have plenty of spare time, plenty of oppurtunity to learn," says another undergraduate at the university.

    Wu Dong, an official at the driving school, said undergraduates were very able and serious, and could grasp in an hour what ordinary people took four hours to learn. In this driving school, middle-aged people, young women and college students are the main customers.

    From March 1, 2018, to get a driver's permit, a beginner is now required to have at least 86 hours' practice before the final road test.

    While every dog owner knows their dogs can read their moods perfectly, scientists have always been a little doubtful. Now thanks to some researchers at the University of Veterinary Medicine in Vienna, Austria, we finally have some convincing evidence.

    For their study, biologist Corson Miller and his team exposes eleven selected dogs to digital images of women that were either angry or happy. Half the dogs were rewarded for touching the screen when shown a happy face, while the other half got their treat for selecting those that appeared angry.

    Interestingly, the dogs were not provided with the entire face. Some dogs were shown only upper halves while the others observed lower halves. That's because the scientists believe humans show their emotions on their entire face.

    After some training like how to recognize small differences like the wrinkles between the eyes or the changes in their shape that accompany the happy or angry expressions, the dogs were mostly able to identify the correct expression not only on a familiar face but on a strange face. The researchers concluded the dogs were smart enough to read human emotions.

    They also found those being trained to read angry expressions took a longer time to learn. They guess it may be because dogs find angry faces disgusting, causing them to withdraw quickly. However, once the smart dogs realized they were getting rewarded, the trepidation seemed to disappear. In fact, the dogs had such a good time playing the computer "game" That scientists had a hard time keeping them away from the touch screens after the study was completed.

    The researchers also noticed only dogs with a male owner had a harder time understanding the expressions correctly. Since the touch-screen models were all females, this confirmed what has been observed in previous studies dogs are more efficient at reading facial expressions of people that are the same gender as their owner.