Suppose we built a robot to explore the planet Mars. We provide the robot with seeing detectors to keep it away from danger. It is powered entirely by the sun. Should we program the robot to be equally active at all times No, the robot would be using up energy at a time when it was not receiving any. So we would probably program it to stop its activity at night and to wake up at dawn the next morning.
According to evolutionary theory of sleep, evolution equipped us with a regular pattern of sleeping and waking for the same reason. The theory does not deny that sleep provides some important restorative functions. It merely says that evolution has programmed us to perform those functions at a time when activity would be inefficient and possibly dangerous. However, sleep protects us only from the sort of trouble we might walk into; it does not protect us from trouble that comes looking for us. So we sleep well when we are in a familiar, safe place, but we sleep lightly, if at all, when we fear that bears will nose into the tent.
The evolutionary theory explain the differences in sleep among creatures. Why do cats, for instance, sleep so much, while horses sleep so little Surely cats do not need five times as much repair and restoration as horses do. But cats can afford to have long periods of inactivity because they spend little time eating and are unlikely to be attacked while they sleep. Horses must spend almost all their waking hours eating, because what they eat is very low in energy value. Moreover, they cannot afford to sleep too long or too deeply, because their survival depends on their ability to run away from attackers.
Which of the following is the main idea of the passage
A:Evolution has equipped all creatures with a regular pattern of sleeping and waking. B:The study of sleep is an important art of the evolutionary theory. C:Sleeping patterns must be taken into consideration in the designing of robots. D:The sleeping pattern of a living creature is determined by the food it eats.
Text 1
The subject of my study is a woman who is initiating social change in a small region in Texas. The women are Mexican Americans who are, or were, migrant agricultural workers. There is more than one kind of innovation at work in the region, of course, but I have chosen to focus on three related patterns of family behavior.
The pattern I lifestyle represents how migrant farm workers of all nationalities lived in the past and how many continue to live. I treat this pattern as a baseline with which to compare the changes represented by pattern II and III. Families in pattern I work and travel in ex tended kin units, with the eldest male occupying the position of authority. Families are large7 Eight or nine children are not unusual And all members are economic contributors in this strategy of family migration. Families in pattern II manifest some differences in behavior while still maintaining aspects of pattern I. They continue to migrate but on a reduced scale, often modifying their schedules of migration to allow children to finish the school year. Parents in this pattern often find temporary local jobs as checkers to make up for lost farming income. Pat tern Ⅱ families usually have fewer children than do pattern Ⅰ families.
The greatest amount of change from pattern I, however, is in pattern III families, who no longer migrate at all. Both parents work full time in the area and have an average of three children. Children attend school for the entire year. In pattern Ⅲ, the women in particular create new roles for themselves for which no local models exist. They not only work full time but may, in addition, return to school. They also assume a greater responsibility in family decisions than do women in the other patterns. Although these women are in the minority among residents of the region, they serve as role models for others, causing moderate changes to spread in their communities.
Now opportunities have continued to be determined by pre-existing values. When federal jobs became available in the region, most involved working under the direction of female professionals such as teachers or nurses. Such positions were unaccepted to many men in the area because they were not accustomed to being subordinate to women. Women therefore took the jobs, at first, because the income was desperately needed. But some of the women decided to stay at their jobs, at first, after the family’ s distress. was over. These women enjoyed their work, its responsibility, and the companionship of fellow women workers. The steady, relatively high income allowed their families to stop migrating. And, as the benefits to these women became increasingly apparent, they and their families became even more willing to consider changes in their lives that they would not have considered before.
A:Pattern Ⅰ families B:Pattern Ⅱ families C:Pattern Ⅲ families D:None of all
The question of where insights come from has become a hot topic in neuroscience, despite the fact that they are not easy to induce experimentally in a laboratory. Dr. Bhattacharya and Dr. Sheth have taken a creative approach. They have selected some brain-teasing but practical problems in the hope that these would get closer to mimicking real insight: To qualify, a puzzle had to be simple, not too widely known and without a methodical solution. The researchers then asked 18 young adults to try to solve these problems while their brainwaves were monitored using an electroencephalograph (EEG).
A typical brain-teaser went like this. There are three light switches on the ground-floor wall of a three-storey house. Two of the switches do nothing, but one of them controls a bulb on the second floor. When you begin, the bulb is off. You can only make one visit to the second floor. How do you work out which switch is the one that controls the light
This problem, or one equivalent to it, was presented on a computer screen to a volunteer when that volunteer pressed a button. The electrical activity of the volunteer’s brain (his brainwave pattern) was recorded by the EEG from the button’s press. Each volunteer was given 30 seconds to read the puzzle and another 60 to 90 seconds to solve it.
Some people worked it out; others did not. The significant point, though, was that the EEG predicted who would fall where. Those volunteers who went on to have an insight (in this case that on their one and only visit to the second floor they could use not just the light hut the heat produced by a bulb as evidence of an active switch) had had different brainwave activity from those who never got it. In the right frontal cortex, a part of the brain associated with shifting mental states, there was an increase in high-frequency gamma waves (those with 47-48 cycles a second). Moreover, the difference was noticeable up to eight seconds before the volunteer realised he had found the solution. Dr. Sheth thinks this may he capturing the “transformational thought” in action, before the brain’s “owner” is consciously aware of it.
This finding poses fascinating questions about how the brain really works. Conscious thought, it seems, does not solve problems. Instead, unconscious processing happens in the background and only delivers the answer to consciousness once it has been arrived at. Food for further thought, indeed.
A:The brainwave pattern B:The EEG C:The right frontal cortex D:The transformational thought
The subject of my study is a woman who is initiating social change in a small region in Texas. The women are Mexican Americans who are, or were, migrant agricultural workers. There is more than one kind of innovation at work in the region, of course, but I have chosen to focus on three related patterns of family behavior.
The pattern I lifestyle represents how migrant farm workers of all nationalities lived in the past and how many continue to live. I treat this pattern as a baseline with which to compare the changes represented by pattern II and III. Families in pattern I work and travel in ex tended kin units, with the eldest male occupying the position of authority. Families are large7 Eight or nine children are not unusual And all members are economic contributors in this strategy of family migration. Families in pattern II manifest some differences in behavior while still maintaining aspects of pattern I. They continue to migrate but on a reduced scale, often modifying their schedules of migration to allow children to finish the school year. Parents in this pattern often find temporary local jobs as checkers to make up for lost farming income. Pat tern Ⅱ families usually have fewer children than do pattern Ⅰ families.
The greatest amount of change from pattern I, however, is in pattern III families, who no longer migrate at all. Both parents work full time in the area and have an average of three children. Children attend school for the entire year. In pattern Ⅲ, the women in particular create new roles for themselves for which no local models exist. They not only work full time but may, in addition, return to school. They also assume a greater responsibility in family decisions than do women in the other patterns. Although these women are in the minority among residents of the region, they serve as role models for others, causing moderate changes to spread in their communities.
Now opportunities have continued to be determined by pre-existing values. When federal jobs became available in the region, most involved working under the direction of female professionals such as teachers or nurses. Such positions were unaccepted to many men in the area because they were not accustomed to being subordinate to women. Women therefore took the jobs, at first, because the income was desperately needed. But some of the women decided to stay at their jobs, at first, after the family’ s distress. was over. These women enjoyed their work, its responsibility, and the companionship of fellow women workers. The steady, relatively high income allowed their families to stop migrating. And, as the benefits to these women became increasingly apparent, they and their families became even more willing to consider changes in their lives that they would not have considered before.
A:Pattern Ⅰ families B:Pattern Ⅱ families C:Pattern Ⅲ families D:None of all
People born in autumn live longer than those born in spring and are less likely to fall chronically (慢性) ill when they are older, according to an Austrian scientist. Using census (人口统计) data for more than one million people in Austria, Denmark and Australia, scientists at the Max Plank Institute for Demographic(人口统计的) Research found the month of birth was related to life expectancy over the age of 50. Seasonal differences in what mothers ate during pregnancy (孕期), and infections occurring at different times of the year could both have an impact on the health of a new born baby and could influence its life expectancy in older age.
"A mother giving birth in spring spends the last stage of her pregnancy in winter, when she willeat less vitamins than in summer," said one of the scientists. "When she stops breast-feeding and starts giving her baby normal food, it’s in the hot weeks of summer when babies have tendency to infections of the digestive system. ” In Austria, adults born in autumn lived about seven months longer than those born in springs; and in Denmark adults with birthdays in autumn outlived those born in spring by about four months. In the southern hemisphere, the picture is similar. Adult’s burning the Australian autumn lived about four months longer than those born in the Australian spring. The study focused on people born at the beginning of the 20th century, using death certificates and census data. Although nutrition (营养) at all times of the year has improved since then, the seasonal pattern persists.
A:the seasonal pattern has an impact on food values B:the seasonal pattern determines a person’s life expectancy C:the seasonal pattern still influences life expectancy even if nutrition improves at all time of the year. D:the seasonal pattern will not change even if nutrition has improved much in modern age
Suppose we built a robot to explore the planet Mars. We provide the robot with seeing detectors to keep it away from danger. It is powered entirely by the sun. Should we program the robot to be equally active at all times No, the robot would be using up energy at a time when it was not receiving any. So we would probably program it to stop its activity at night and to wake up at dawn the next morning.
According to evolutionary theory of sleep, evolution equipped us with a regular pattern of sleeping and waking for the same reason. The theory does not deny that sleep provides some important restorative functions. It merely says that evolution has programmed us to perform those functions at a time when activity would be inefficient and possibly dangerous. However, sleep protects us only from the sort of trouble we might walk into; it does not protect us from trouble that comes looking for us. So we sleep well when we are in a familiar, safe place, but we sleep lightly, if at all, when we fear that bears will nose into the tent.
The evolutionary theory explain the differences in sleep among creatures. Why do cats, for instance, sleep so much, while horses sleep so little Surely cats do not need five times as much repair and restoration as horses do. But cats can afford to have long periods of inactivity because they spend little time eating and are unlikely to be attacked while they sleep. Horses must spend almost all their waking hours eating, because what they eat is very low in energy value. Moreover, they cannot afford to sleep too long or too deeply, because their survival depends on their ability to run away from attackers.
Which of the following is the main idea of the passage
A:Evolution has equipped all creatures with a regular pattern of sleeping and waking. B:The study of sleep is an important art of the evolutionary theory. C:Sleeping patterns must be taken into consideration in the designing of robots. D:The sleeping pattern of a living creature is determined by the food it eats.
Suppose we built a robot to explore the planet Mars. We provide the robot with seeing detectors to keep it away from danger. It is powered entirely by the sun. Should we program the robot to be equally active at all times No, the robot would be using up energy at a time when it was not receiving any. So we would probably program it to stop its activity at night and to wake up at dawn the next morning.
According to evolutionary theory of sleep, evolution equipped us with a regular pattern of sleeping and waking for the same reason. The theory does not deny that sleep provides some important restorative functions. It merely says that evolution has programmed us to perform those functions at a time when activity would be inefficient and possibly dangerous. However, sleep protects us only from the sort of trouble we might walk into; it does not protect us from trouble that comes looking for us. So we sleep well when we are in a familiar, safe place, but we sleep lightly, if at all, when we fear that bears will nose into the tent.
The evolutionary theory explain the differences in sleep among creatures. Why do cats, for instance, sleep so much, while horses sleep so little Surely cats do not need five times as much repair and restoration as horses do. But cats can afford to have long periods of inactivity because they spend little time eating and are unlikely to be attacked while they sleep. Horses must spend almost all their waking hours eating, because what they eat is very low in energy value. Moreover, they cannot afford to sleep too long or too deeply, because their survival depends on their ability to run away from attackers.
Which of the following is the main idea of the passage
A:Evolution has equipped all creatures with a regular pattern of sleeping and waking. B:The study of sleep is an important art of the evolutionary theory. C:Sleeping patterns must be taken into consideration in the designing of robots. D:The sleeping pattern of a living creature is determined by the food it eats.