Do you dream?

    Have you ever visited some strange places in your dreams? In fact people have wondered about these strange places for long.{#blank#}1{#/blank#} However, they have been valued as necessary to a person's health and happiness.

    Historically, people thought dreams contained messages from God. It was only in the twentieth century that people started to study dreams scientifically, believing that they tell about a person's character.{#blank#}2{#/blank#} He believed that dreams allow a person to express fantasies or fears, which would be socially unacceptable in real life.

    The second theory to become popular was Carl Jung's compensation theory. Jung, a former student of Freud, said that the purpose of a dream is not to hide something, but rather to communicate it to the dreamer.{#blank#}3{#/blank#} Thus, people who think too highly of themselves may dream about falling; those who think too little of themselves dream of being heroes.

    Using more recent research, William Domhoff from the University of California found that dreaming is a mental skill that needs time to develop in humans.{#blank#}4{#/blank#} Until they reach the age of five, they can not express very well what their dreams are about. Once people become adults, there is little or no change in their dreams. The dreams of men and women differ. For instance, the characters that appear in the dreams of men are often other men, and often involve physical aggression.

    The meaning of dreams continues to be difficult to understand. {#blank#}5{#/blank#} If you dream that a loved one is going to die, do not panic. The dream may have meaning, but it does not mean that your loved one is going to die.

A. Dreams make up for what is lacking in waking life.

B. But anyway, people should not take their dreams as reality.

C. It gives scientists chances to better understand human mind.

D. They have been considered as meaningless nighttime journeys.

E. First, there was Sigmund Freud's theory.

F. They think their mind is trying to tell them something.

G. Children do not dream as much as adults.

    If humans were truly at home under the light of the moon and stars，we would go in darkness happily，the midnight world as visible to us as it is to the vast number of nocturnal(夜间活动的) species on this planet. Instead，we are diurnal creatures, with eyes adapted to living in the sun's light. This is a basic evolutionary fact, even though most of us don't think of ourselves as diurnal beings. Yet it's the only way to explain what we've done to the night: We've engineered it to  receive us by filling it with light.

    The benefits of this kind of engineering come with consequences 一 called light pollution 一 whose effects scientists are only now beginning to study. Light pollution is largely the result of bad  lighting design，which allows artificial light to shine outward and upward into the sky. III-designed lighting washes out the darkness of night and completely changes the light levels 一 and light  rhythms — to which many forms of life, including, ourselves, have adapted. Wherever human light spills into the natural world, some aspect or life is affected .

    In most cities the sky looks as though it has been emptied of stars, leaving behind a vacant haze(霾) that mirrors our fear of the dark. We've grown so used to this orange haze that the original glory of an unlit nigh, - dark enough for the planet Venus to throw shadow on Earth, is wholly beyond our experience, beyond memory almost.

    We^'ve lit up the night as if it were an unoccupied country, when nothing could be further form the truth. Among mammals alone, the number of nocturnal species is astonishing, Light is a powerful biological force, and on many species it acts as a magnet(磁铁). The effect is so powerful that scientists speak of songbirds and seabirds being “captured” by searchlights on land or by the light from gas flares on marine oil platforms. Migrating at night, birds tend to collide with brightly lit tall buildings.

    Frogs living near brightly lit highways suffer nocturnal light levels that are as much as a million times righter than normal, throwing nearly every aspect of their behavior out of joint including most other creatures ,we do need darkness .Darkness is as essential to our biological welfare, to our internal clockwork, as light itself.

    Living in a glare of our making,we have cut ourselves off from our evolutionary and cultural heritage—the light of the stars and the rhythms of day and night .In a very real sense light pollution causes us to lose sight of our true place in the universe, to forget the scale of our being, which is best measured against the dimensions of a deep night with the Milky Way—the edge of our galaxy arching overhead.

    Artificial intelligence（AI，人工智能）can help us make phone calls, guide us to where we want to go, or play games. {#blank#}1{#/blank#} Researchers from Microsoft recently created the first machine translation system that can translate news articles from Chinese to English, Business Standard reported.

    According to Microsoft's official website, researchers tested the system by asking it to translate hundreds of sentences taken from news stories.{#blank#}2{#/blank#}They concluded that the system's translations were as good as the human translations. {#blank#}3{#/blank#}This is partly because different words can be used to express the same meaning. It can be hard to say which word is more “correct”.

    {#blank#}4{#/blank#}“Much of our research is really inspired by how we humans do things,” lead researcher Liu Tieyan said.

    One method is called dual learning（对偶学习）. In this method, the system translates every sentence from Chinese to English, as well as translating the sentences back from English into Chinese.{#blank#}5{#/blank#}This is similar to what humans do to make sure their translations are accurate.

        Another method makes use of deliberation networks. This is when the system is made to translate the same sentence over and over. Gradually, the system improves the quality of its translation, like humans who would improve their own writing by going over it again and again.

A. Machine translation is always challenging.

B. However, experts used several methods to improve the system's translation abilities.

C. Then, language experts compared the results to two translations that were done by humans.

D. Researchers collected a lot of data to help the system learn and improve.

E. And now, AI can do even more things.

F. Researchers have worked on machine translation for decades.

G. This way, the system can improve itself and learn from its own mistakes.

    Children grow quickly, especially their feet. But many families cannot buy new shoes each time a child needs them. As a result, about 300 million children around the world go barefoot. Those children risk picking up diseases and parasites from the soil.

    Kenton Lee, an American man invented The Shoe That Grows. He explains, “It grows in three places: the front, on the side and on the back. It can last up to five years. The bottom is rubber like tire rubber. The top is just high-quality leather. ”

    Lee says he got the idea for the shoe while working as a volunteer in an orphanage in Kenya. “I just remember a little girl who wore a pair of small shoes. The shoes were so small that she had to cut open the front of her shoes to let her toes stick out. And I just remember thinking, wouldn't it be nice if there were a pair of shoes that could grow with her feet？”

    However, Lee says it was not easy to turn his idea into a reality. Finally, in 2009 Lee founded a non-profit organization called Because International. In the office of Because International, Lee keeps a pair of his own shoes to help him remember his promise.

    A pair of shoes, he says, gives more than protection. It gives a child self-worth and more chances to succeed. “Because it's a small thing that really does make a big difference to keep them healthy and happy and having more chances to succeed.”

    Kenton Lee adds that his goal is to help get The Shoe That Grows to as many children as he can around the world.

    Walk through the Amazon rainforest today and you will find it is steamy, warm, damp and thick. But if you had been around 15,000 years ago, during the last ice age, would it have been the same? For more than 30 years, scientists have been arguing about how rainforests like the Amazon might have reacted to the cold, dry climates of the ice ages, but until now, no one has reached a satisfying answer.

    Rainforests like the Amazon are important for mopping up CO₂ from the atmosphere and helping to slow global warming. Currently the trees in the Amazon take in around 500 million tons of CO₂ each year: equal to the total amount of CO₂ giving off in the UK each year. But how will the Amazon react to future climate change? If it gets drier, will it still survive and continue to draw down CO₂?

    Scientists hope that they will be able to learn in advance how the rainforest will manage in the future by understanding how rainforests reacted to climate change in the past. Unfortunately, getting into the Amazon rainforest and collecting information are very difficult. To study past climate, scientists need to look at fossilized pollen, kept in lake mud. Going back to the last ice age means drilling deep down into lake sediments （沉淀物）which requires specialized equipment and heavy machinery. There are very few roads and paths, or places to land helicopters and aeroplanes. Rivers tend to be the easiest way to enter the forest, but this still leaves vast areas between the rivers completely unsampled（未取样）.So far, only a handful of cores have been drilled that go back to the last ice age and none of them provide enough information to prove how the Amazon rainforest reacts to climate change.

    Our society is generally becoming one of giant enterprises directed by a bureaucratic management in which man becomes a small, well-oiled cog in the machinery. The oiling is done with higher wages, Nell-ventilated factories and piped music, and by psychologists and "human-relations" experts; yet all this oiling does not alter the fact that man has become powerless, that he is bored with it. In fact, the blue and the white-collar workers have become economic puppets who dance to the tune of automated machines and bureaucratic management.

    The worker and employee are anxious, not only because they might find themselves out of a job; they are anxious also because they are unable to acquire any real satisfaction of interesting life. They live and die without ever having confronted the fundamental realities of human existence as emotionally and intellectually independent and productive human beings.

    Those higher up on the social ladder are no less anxious. Their lives are no less empty than those of their subordinates. They are even more insecure in some respects. They are in a highly competitive race. To be promoted or to fall behind is not a matter of salary but even more a matter of self-respect. When they apply for their first job, they are tested for intelligence as well as for the right mixture of obedience and independence. From the moment on they are tested again and again—by the psychologists, for whom testing is a big business, and by their superiors, who judge their behavior, sociability, capacity to get along, etc. This constant need to prove that one is as good as or better than one's fellow competitor creates constant anxiety and stress, the very causes of unhappiness and illness.

    Am I suggesting that we should return to the preindustrial mode of production or to nineteenth-century "free enterprise" capitalism? Certainly not. Problems are never solved by returning to a stage which one has already outgrown. I suggest transforming our social system form a bureaucratically managed industrialism in which maximal production and consumption ends in a humanist industrialism in which man and full development of his potentialities – those of all love and of reason—are the aims of social arrangements. Production and consumption should serve only as means to this end, and should be prevented from ruling man.