1 . The high-tech revolution has inspired a pleasure endless stream of new and exciting electronic products that we just can’t live without. In fact, the speed of technological innovation can make last year’s must-have this year’s junk. And that’s the problem.
The average life span of a personal computer has been shortened to around 18 months and this has nothing to do with worn-mice or damaged disk drives. Simply put, electronic products can become out of date before you’ve even figured out how they work.
So what happens to all those old keyboards, monitors, organizers and CPUs? Most are stored away in a warehouse (仓库), taking up valuable space. But many end up in landfills, and that is where the trouble really begins. Computer monitors can contain up to 3.5 kg of dangerous waste once they are no longer in use.
Unfortunately, this problem is not going to disappear anytime soon. In fact, it is growing by the minute. In Japan alone, people throw away some 20 million TVs, washing machines, refrigerators and air conditioners each year. What is to be done with all this techno-trash?
One way to reduce waste is to avoid throwing away in the first place. Many companies reuse parts from old products in new models. This is not cheating-it makes both environmental and economic sense. Cannon, for example, has adopted a philosophy known as “kyosei”, meaning “living and working together for the common good?” — a goal of achieving balance between the environment and the corporate (公司的) activities. The company has even gone so far as to say that environmental assurance should come before all business activities, and that companies unable to achieve such assurance do not deserve to remain in business.
As part of that effort, the company has started a global recycling program with a goal to reduce, reuse and recycle more than 90% of its used products. In 1999, for example, Cannon collected 128, 000 copying machines and 12, 175 tons of toner cartridges (色粉盒) in Japan, Europe and the United States.
Some argue that electronic garbage can also be controlled during the design phase. This concept, called “design for the environment”. Not only does this make environmental sense, but it saves the customer money. IBM, meanwhile, recently planned programs in Canada and the US that, for a small fee, will take back not just an IBM but also any manufacturer’s computer. Depending on the age and condition, the equipment will then be either donated to charity, or broken down for reusable parts and recyclable materials.
1. With the rapid development of science and technology high-tech products can ____.A.last for many years |
B.become worn out soon |
C.become old and useless soon |
D.be used forever |
A.Too much room is needed for their probable storage. |
B.People do not know how to deal with them at all. |
C.The amount of this techno-trash is increasing everyday without stop. |
D.Harmful substances contained within may pollute the environment. |
A.Business must be achieved at the cost of environment. |
B.Environment holds great importance than business. |
C.Business and environment has little impact on each other. |
D.Recycling makes only environment sense instead of economic benefits. |
A.while designing products, we must make something to contain garbage |
B.while designing products, don’t throw away garbage away |
C.while designing, we must work out how much garbage the new product will bring about |
D.while designing, we must take environment into consideration. |
A.The problem caused by high-tech products can’t be solved in short time |
B.The techno-trash problem can easily be solved in big countries |
C.The problem can be solved to some degree if enough attention is paid |
D.It is still hard to say whether this problem can be solved or not |
1.分析产生这一现象原因;
2.该现象造成的不良影响;
3.发出积极的倡议。
注意:
1.写作词数应为80左右;
2.短文的题目和首句已为你写好(不计入总词数)。
Too much expenditure on fashion
Recently, an increasing number of students are pursuing fashion in our class.
_______________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________1. What’s the talk mainly about?
A.The development of the bicycle. |
B.The materials of making the bicycle. |
C.The process of the bicycle’s becoming popular. |
A.The bicycle couldn’t change directions. |
B.The wheels of the bicycle weren’t well fixed. |
C.The rider’s feet couldn’t leave the ground. |
A.In 1817. | B.In 1839. | C.In 1869. |
A.Bicycles first had rubber tires. |
B.The “safety bicycle” appeared. |
C.Bicycles could run faster. |
“China would always provide important opportunities for global development, and the nation would remain committed to
“The CIIE, first
The official also
5 . Atomic shapes are so simple that they can’t be broken down any further. Mathematicians are trying to turn to artificial intelligence (AI) for help to build a periodic table of these shapes, hoping it will assist in finding yet-unknown atomic shapes.
Tom Coates at Imperial College London and his colleagues are working to classify atomic shapes known as Fano varieties, which are so simple that they can’t be broken down into smaller components. Just as chemists arranged element s in the periodic table by their atomic weight and group to reveal new insights, the researchers hope that organizing these atomic shapes by their various properties will help in understanding them.
The team has given each atomic shape a sequence of numbers based on its features such as the number of holes it has or the extent to which it bends around itself. This acts as a bar code (条形码) to identify it. Coates and his colleagues have now created an AI that can predict certain properties of these shapes from their bar code numbers alone, with an accuracy of 98 percent.
The team member Alexander Kasprzyk at the University of Nottingham, UK, says that the AI has let the team organize atomic shapes in a way that begins to follow the periodic table, so that when you read from left to right, or up and down, there seem to be general patterns in the geometry (几何) of the shapes.
Graham Nib lo at the University of Southampton, UK, stresses that humans will still need to understand the results provided by AI and create proofs of these ideas. “AI has definitely got unbelievable abilities. But in the same way that telescopes (望远镜) don’t put astronomers out of work, AI doesn’t put mathematicians out of work,” he says. “It just gives us new backing that allows us to explore parts of the mathematical landscape that are out of reach.”
The team hopes to improve the model to the point where missing spaces in its periodic table could point to the existence of unknown shapes.
1. What is the purpose of building a periodic table of shapes?A.To gain deeper insights into the atomic shapes. |
B.To create an AI to predict the unknown shapes. |
C.To break down atomic shapes into smaller parts. |
D.To arrange chemical elements in the periodic table. |
A.Its holes. | B.Its bends. |
C.Its atomic weight. | D.Its properties. |
A.Design. | B.Help. | C.Duty. | D.Threat. |
A.Thanks to AI, new atomic shapes have been discovered. |
B.Mathematicians turn to AI to create more atomic shapes. |
C.AI helps build a relationship between chemistry and maths. |
D.A periodic table of shapes can be built with the help of AI. |
1.书名及作家简介;
2.书的内容概况;
3.分享的理由。
注意: 词数80左右
___________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
Men Wanted
For a dangerous journey: small wages, bitter cold, long months of complete darkness, constant danger, and safe return uncertain. Honor and reward will follow if it is successful.
Earnest Shackleton
___________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
8 . When you ask people to judge others by their speech, a trend emerges: Listeners dislike disfluency. Slow talkers producing loads of ums and pauses(停顿)are generally perceived as less charming. But science tells us there may be even more to disfluency.
Disfluencies do not occur in arbitrary positions in sentences. Ums typically occur right before more difficult or low-frequency words. Imagine you’re having dinner with a friend at a restaurant,and there’re three items on the table: a knife, a glass, and a wine decanter(醒酒器). Your friend turns to you and says, “Could you hand me the...um...” What would you assume they want? Since it’s unlikely that they will hesitate before such common words as knife, and glass, chances are you’ll pick up the decanter and ask, “You mean this?”
This is exactly what we demonstrated through controlled eye-tracking studies in our lab. Apparently, listeners hear the um and predict that an uncommon word is most likely to follow.Such predictions, though, reflect more than just simple association between disfluencies and difficult words; listeners are actively considering from the speaker’s point of view. For example, when hearing a non-native speaker say the same sentence but with a thick foreign accent, listeners don’t show a preference for looking at low-frequency objects. This is probably because listeners assume non-native speakers may have as much trouble coming up with the English word for a common object, like a knife, as for unusual ones and can’t guess their intention.
In another experiment, listeners were presented with an atypical speaker who produced disfluencies before simple words and never before difficult words. Initially, participants displayed the natural predictive strategy: looking at uncommon objects. However, as more time went by, and they gained experience with this atypical distribution of disfluencies, listeners started to demonstrate the contrary predictive behavior: They tended to look at simple objects when hearing the speaker say um.
These findings represent further evidence that the human brain is a prediction machine: We continuously try to predict what will happen next, even though not all disfluencies are created equal.
1. What does the underlined word “arbitrary”mean in paragraph 2?A.Random. | B.Strategic. | C.Obvious. | D.Consistent |
A.They can be understood easily. | B.They actively put themselves in others’ shoes |
C.Their vocabularies are limited. | D.Their disfluencies are a little less predictive. |
A.Simple things are difficult in some cases. | B.Listeners can adjust predictions accordingly. |
C.Distribution of disfluencies is changeable. | D.Disfluencies in communication can be avoided. |
A.Pauses Coexist with Prediction. | B.Brains Are Powerful Prediction Machines. |
C.Active Listeners Simplify Talks. | D.Disfluency Says More Than You Think. |
1.阐述网络带来的好处
2.阐述网络带来的弊端
3.呼吁合理负责任地谨慎使用互联网。
注意:字数100-120;开头和结尾已提供,不计入字数。
___________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
10 . Every decision we make is arrived at through hugely complex neurological processing. Although it feels as though you have a choice, the action that you ‘decide’ to take is entirely directed by automatic neural activity. Brain imaging studies show that a person’s action can be predicted by their brain activity up to 10 seconds before they themselves become aware they are going to act. Multiple neuroscientific studies show that even those important decisions that feel worked out are just as automatic as knee-jerk reactions (膝跳反应) (although more complex).
Decision-making starts with the amygdala: a set of two almond-shaped nuclei (杏仁状核) buried deep within the brain, which generate emotion. The amygdala registers the information streaming in through our senses and responds to it in less than a second, sending signals throughout the brain. These produce an urge to run, fight, freeze or grab, according to how the amygdala values various stimuli.
Before we act on the amygdala’s signals, however, the information is usually processed by other brain areas, including some that produce conscious thoughts and emotions. Areas concerned with recognition work out what’s going on, those concerned with memory compare it with previous experiences, and those concerned with reasoning, judging and planning get to work on constructing various action plans. The best plan—if we are lucky—is then selected and carried out. If any of this process goes wrong, we are likely to hesitate, or do something silly.
The various stages of decision-making are marked by different types of brain activity. Fast (gamma)waves, with frequencies of 25 to 100 Hz, produce a keen awareness of the multiple factors that need to be taken into account to arrive at a decision. If you are trying to choose a sandwich, for instance, gamma waves generated in various cells within the ‘taste’ area of the brain bring to mind and compare the taste of ham, hummus, wholemeal, sourdough, and so on. Although it may seem useful to be aware of the full range of choice, too much information makes decision-making more difficult, so irrelevant factors get dismissed quickly and unconsciously.
After this comparison stage, the brain switches to slow-wave activity (12 to 30 Hz). This extinguishes most of the gamma activity, leaving just a single ‘hotspot’ of gamma waves which marks the chosen option.
Although there is no ‘you’ outside your brain to direct what it’s doing, you can help it to make good decisions by placing yourself in a situation which is likely to make the process run more smoothly. Doing something that is physically or mentally stimulating before making a decision will help your brain produce the initial gamma waves that generate awareness of the competing options. Getting over-excited, on the other hand, will prevent the switch to the slow brainwaves, making it much harder to single out a choice.
1. Why does the writer mention “knee-jerk reactions” in the first paragraph?A.To introduce the finding of the latest brain imaging studies. |
B.To illustrate that decisions are not consciously thought out. |
C.To call attention to a kind of neural reaction that is not very complex. |
D.To show the difference between decision-making and other brain activity. |
A.It works out conscious thoughts and emotions. |
B.It selects the best action plan for a given situation. |
C.It dismisses factors that are irrelevant to the decision to be made. |
D.It processes sensory information and generates emotional responses. |
A.Slow-wave activity usually lasts longer than fast-wave activity. |
B.The brain prioritizes information before settling on a final choice. |
C.Decision-making is difficult when slow-wave activity occurs first. |
D.The brain needs as much information as possible to make a decision. |
A.By preparing the brain to single out the most reasonable choice. |
B.By helping the brain switch to slow-wave activity more quickly. |
C.By getting the brain to focus on those most relevant alternatives. |
D.By making the brain more aware of the factors and choices involved. |