【正文】 料，回答第7題。conversationisbarbecue.C. Shehavetowomanofficer. doesthehavemoretootoothetdon39。takeisiscostsMr. Brownat10:30 .( )3. Whatstudent B. Antheewillthemantheplace?A. At a hotel B. At a travel agencytheschool?A. He almost hit a dog. B. Hecaronwomanman?A. Somefries.B. SomeFrenchFrenchthechangingcafe. C. Atsportlikelongworkedofofofmanthesleep. B. Haveonstheandthethethemanpoliceman?A. Heindoesn39。drivingentranceittomuseum?A. Ahour.聽第10段材料，回答第17至20題。speakerprimaryschooltheeverytwodidtotaughtdoestoacanyoukeep getting B. temporary。C below zero.。 can26. —— Dinner is ready. Help yourself! —— Wow! It_______ delicious. Could you please tell me how to cook it?A. tastes B. is tasting C. tasted D. is tasted[來源:學(xué)科網(wǎng)ZXXK]27. ______ to the Internet will to some extent have a negative effect on their mental and physical health. A. Having been addicted B. Being addicted C. Addicted D. To be addicted28. Take medicine as directed by the doctor。t C. couldn39。typically 7 or 8 hours, followed by hours of private tutoring in the evenings. All this hothousing leaves Korean students so tired, they sometimes fall asleep in class next day. Worries about the effects of late night cramming (填鴨式) led the government to force cramming schools to close by 10 pm. Finnish children spend the least time in class in the developed world, often finishing just after lunch, with about one hour of homework a day. Private tuition is unmon. The British and American school day is quite long in parison, around 6 hours, and secondary school pupils do 2 or 3 hours of selfstudy a night.The Korean education system, like many in Asia, is intensely petitive, with students even peting to get into the best cramming schools, to help them get ahead. Finnish education is far less cut173。hour study 63．From Paragraph 3, we can know that ________.A．Finnish students are less stressed in studyB．There are also many cramming schools in BritainC．students in Korea are the most petitive in AsiaD．British schools are less petitive than universities64．According to the author, the key to improving education is ________.A．star pupils B．the schooling timeC．the attitude D．new teaching approachDIn 2009 a new flu virus was discovered. Combining elements of the viruses that cause bird flu and swine flu, this new virus, named H1N1, spread quickly. Within weeks, public health agencies around the world feared a terrible pandemic (流行病) was under way. Some mentators warned of an outbreak on the scale of the 1918 Spanish flu. Worse, no vaccine(疫苗) was readily available. The only hope public health authorities had was to slow its spread. But to do that, they needed to know where it already was.In the United States, the Centers for Disease Control and Prevention (CDC) required that doctors inform them of new flu cases. Yet the picture of the pandemic that showed up was always a week or two out of date. People might feel sick for days but wait before consulting a doctor. Relaying the information back to the central organizations took time, and the CDC only figured out the numbers once a week. With a rapidly spreading disease, a twoweek lag is an eternity. This delay pletely blinded public health agencies at the most urgent moments. Few weeks before the H1N1 virus made headlines, engineers at the Internet giant Google published a paper in Nature. It got experts’ attention but was overlooked. The authors explained how Google could “predict” the spread of the winter flu, not just nationally, but down to specific regions and even states. Since Google receives more than three billion search queries every day and saves them all, it had plenty of data to work with.Google took the 50 million most mon search terms that Americans type and pared the list with CDC data on the spread of seasonal flu between 2003 and 2008. The idea was to identify areas affected by the flu virus by what people searched for on the Internet. Others had tried to do this with Internet search terms, but no one else had as much dataprocessing power, as Google.While the Googlers guessed that the searches might be aimed at getting flu information—typing phrases like “medicine for cough and fever”—that wasn’t the point: they didn’t know, and they designed a system that didn’t care. All their system did was look for correlations(相關(guān)性) between the frequency of certain search queries and the spread of the flu over time and space. In total, they processed 450 million different mathematical models in order to test the search terms, paring their predictions against actual flu cases from the CDC in 2007 and 2008. And their software found a bination of 45 search terms that had a strong correlation between their prediction and the official figures nationwide. Like the CDC, they could tell where the flu had spread, but unlike the CDC they could tell it in near real time, not a week or two after the fact.Thus when the H1N1 crisis struck in 2009, Google’s system proved to be a more useful and timely indicator than government statistics with their natural reporting lags. Public health officials were armed with valuable information.Strikingly, Google’s method is built on “big data”—the