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Passage 1 Traffic lights are crucial tools for regulating traffic flow. They are not, however, perfect. Drivers exchange the gridlock that would happen at unmanaged junctions for a pattern of stop-go movement that can still be frustrating, and which burns more fuel than a smooth passage would. Creating such a smooth passage means adjusting a vehicle′s speed so that it always arrives at the lights when they are green. That is theoretically possible, but practically hard. Roadside signs wired to traffic lights may help, but they have not been widely deployed. Now scientists have an idea that could make the process cheaper and more effective. Instead of a hardwired network of signs, they propose to use mobile-phone apps. For a driver to benefit, he must load a special software, dubbed SignalGuru, into his phone and then mount it on a special bracket attached to the inside of his car′s windscreen, with the camera lens pointing forwards. SignalGuru is designed to detect traffic lights and track their status as red,amber or green. It broadcasts this information to other phones in the area that are fitted with the same software, and--if there are enough of them--the phones thus each know the status of most of the lights around town. Using this information, SignalGuru is able to calculate the traffic-light schedule for the region and suggest the speed at which a driver should travel in order to avoid running into red lights. Tests in Cambridge, Massachusetts, where five drivers were asked to follow the same route for three hours, and in Singapore, where eight drivers were asked to follow one of two routes for 30 minutes, revealed that SignalGuru was capable of predicting traffic-light activity with an accuracy of 98.2% and 96.3% respectively, in the two cities. This was particularly impressive because in Cambridge the lights shifted, roughly half-way through the test, from their off-peak schedule to their afternoon-traffic schedule, while in Singapore lights are adaptive, using detectors embedded under the road to determine how much traffic is around and thus when a signal should change. Fuel consumption fell, too--by about 20%. SignalGuru thus reduces both frustration and fuel use, and makes commuting a slightly less horrible experience. Roadside signs have not been widely deployed probably because _________.
A.it takes a lot of space to put them upB.it is hard to wire them to traffic lightsC.they cost more money to installD.they are less effective in bad weather
根据题目要求完成下列任务，用中文作答。教师在语音教学中应当遵循哪些原则?简述三种训练学生各个音素的发音的方法，并举例说明。
Passage 1 Traffic lights are crucial tools for regulating traffic flow. They are not, however, perfect. Drivers exchange the gridlock that would happen at unmanaged junctions for a pattern of stop-go movement that can still be frustrating, and which burns more fuel than a smooth passage would. Creating such a smooth passage means adjusting a vehicle′s speed so that it always arrives at the lights when they are green. That is theoretically possible, but practically hard. Roadside signs wired to traffic lights may help, but they have not been widely deployed. Now scientists have an idea that could make the process cheaper and more effective. Instead of a hardwired network of signs, they propose to use mobile-phone apps. For a driver to benefit, he must load a special software, dubbed SignalGuru, into his phone and then mount it on a special bracket attached to the inside of his car′s windscreen, with the camera lens pointing forwards. SignalGuru is designed to detect traffic lights and track their status as red,amber or green. It broadcasts this information to other phones in the area that are fitted with the same software, and--if there are enough of them--the phones thus each know the status of most of the lights around town. Using this information, SignalGuru is able to calculate the traffic-light schedule for the region and suggest the speed at which a driver should travel in order to avoid running into red lights. Tests in Cambridge, Massachusetts, where five drivers were asked to follow the same route for three hours, and in Singapore, where eight drivers were asked to follow one of two routes for 30 minutes, revealed that SignalGuru was capable of predicting traffic-light activity with an accuracy of 98.2% and 96.3% respectively, in the two cities. This was particularly impressive because in Cambridge the lights shifted, roughly half-way through the test, from their off-peak schedule to their afternoon-traffic schedule, while in Singapore lights are adaptive, using detectors embedded under the road to determine how much traffic is around and thus when a signal should change. Fuel consumption fell, too--by about 20%. SignalGuru thus reduces both frustration and fuel use, and makes commuting a slightly less horrible experience. What did tests in Cambridge and Singapore reveal?
A.SignalGuru can detect the status of traffic lights with accuracy.B.Traffic lights in Cambridge work better than those in Singapore.C.Drivers in Singapore follow traffic rules better than those in Cambridge.D.Traffic lights in Cambridge are more adaptive in off-peak hour.
根据提供的信息和语言素材设计教学方案，用英文作答。 设计任务：请阅读下面学生信息和语言素材，设计20分钟的英语听力教学方案。 该方案没有固定格式，但须包含下列要点： ?teaching objectives ? teaching contents ? key and difficult points ? major steps and time allocation ? activities and justifications 教学时间：20分钟 学生概况：本班为中等城市普通学校初中一年级(七年级)学生，班级人数45人，多数学生已经达到《义务教育英语课程标准(2011年版)》二级水平。学生能够积极参与课堂活动，合作意识较强。 语言素材： A: How much is the hat? B: The hat is six dollars. A: And how much are the shorts? B: Oh, they′re eight dollars. A: And the sweater? How much is the sweater? B: Let′s see. The sweater is nine dollars.
Passage 2 Scientists have found that although we are prone to snap overreactions, if we take a moment and think about how we are likely to react, we can reduce or even eliminate the negative effects of our quick, hard-wired responses. Snap decisions can be important defense mechanisms; if we are judging whether someone is dangerous, our brains and bodies are hard-wired to react very quickly, within milliseconds. But we need more time to assess other factors. To accurately tell whether someone is sociable, studies show, we need at least a minute, preferably five. It takes a while to judge complex aspects of personality, like neuroticism or open-mindedness. But snap decisions in reaction to rapid stimuli aren′t exclusive to the interpersonal realm. Psychologists at the University of Toronto found that viewing a fast-food logo for just a few milliseconds primes us to read 20 percent faster, even though reading has little to do with eating. We unconsciously associate fast food with speed and impatience and carry those impulses into whatever else we′re doing. Subjects exposed to fast-food flashes also tend to think a musical piece lasts too long. Yet we can reverse such influences. If we know we will overreact to consumer products or housing options when we see a happy face (one reason good sales representatives and real estate agents are always smiling), we can take a moment before buying. If we know female job screeners are more likely to reject attractive female applicants, we can help screeners understand their biases--or hire outside screeners. John Gottman, the marriage expert, explains that we quickly "thin slice" information reliably only after we ground such snap reactions in"thick sliced" long-term study. When Dr. Gottman really wants to assess whether a couple will stay together, he invites them to his island retreat for a much longer evaluation: two days, not two seconds. Our ability to mute our hard-wired reactions by pausing is what differentiates us from animals:dogs can think about the future only intermittently or for a few minutes. But historically we have spent about 12 percent of our days contemplating the longer term. Although technology might change the way we react, it hasn′ t changed our nature. We still have the imaginative capacity to rise above temptation and reverse the high-speed trend. To reverse the negative influences of snap decisions, we should__________.
A.trust our first impressionB.do as people usually doC.think before we actD.ask for expert advice
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