题目内容

Google already has a window into our souls through our Internet searches and it now has insight into our ailing bodies too. The Internet giant is using its vast database of individual search terms to【C1】 the emergence of flu up to two weeks 【C2】government epidemiologists. Google Flu Trends uses the【C3】of people to seek online help for their health problems. By tracking【C4】for terms such as "cough", "fever" and "aches and pains", it claims to be able to【C5】estimate where flu is【C6】. Google tested the idea in nine regions of the US and found it could accurately predict flu【C7】between 7 and 14 days earlier than the federal centres for disease control and prevention. Google hopes the idea could also be used to help【C8】other diseases. Flu Trends is limited【C9】 the US. Jeremy Ginsberg and Matt Mohebb, two software engineers 【C10】in the project, said that【C11】in Google search queries can be very 【C12】. In a blog post on the project they wrote: "It turns【C13】that traditional flu surveillance systems take 1 to 2 weeks to collect and【C14】surveillance data but Google search queries can be【C15】counted very quickly. By making our estimates【C16】each day, Flu Trends may provide an early-warning system for outbreaks of influenza." They explained that 【C17】 information health would be kept【C18】. "Flu Trends can never be used to identify individual users【C19】we rely on anonymised, aggregated counts of how often certain search queries【C20】 each week." 【C11】

A. signals
B. functions
C. formularies
D. patterns

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Google already has a window into our souls through our Internet searches and it now has insight into our ailing bodies too. The Internet giant is using its vast database of individual search terms to【C1】 the emergence of flu up to two weeks 【C2】government epidemiologists. Google Flu Trends uses the【C3】of people to seek online help for their health problems. By tracking【C4】for terms such as "cough", "fever" and "aches and pains", it claims to be able to【C5】estimate where flu is【C6】. Google tested the idea in nine regions of the US and found it could accurately predict flu【C7】between 7 and 14 days earlier than the federal centres for disease control and prevention. Google hopes the idea could also be used to help【C8】other diseases. Flu Trends is limited【C9】 the US. Jeremy Ginsberg and Matt Mohebb, two software engineers 【C10】in the project, said that【C11】in Google search queries can be very 【C12】. In a blog post on the project they wrote: "It turns【C13】that traditional flu surveillance systems take 1 to 2 weeks to collect and【C14】surveillance data but Google search queries can be【C15】counted very quickly. By making our estimates【C16】each day, Flu Trends may provide an early-warning system for outbreaks of influenza." They explained that 【C17】 information health would be kept【C18】. "Flu Trends can never be used to identify individual users【C19】we rely on anonymised, aggregated counts of how often certain search queries【C20】 each week." 【C12】

A. informative
B. knowledgeable
C. familiar
D. attractive

Google already has a window into our souls through our Internet searches and it now has insight into our ailing bodies too. The Internet giant is using its vast database of individual search terms to【C1】 the emergence of flu up to two weeks 【C2】government epidemiologists. Google Flu Trends uses the【C3】of people to seek online help for their health problems. By tracking【C4】for terms such as "cough", "fever" and "aches and pains", it claims to be able to【C5】estimate where flu is【C6】. Google tested the idea in nine regions of the US and found it could accurately predict flu【C7】between 7 and 14 days earlier than the federal centres for disease control and prevention. Google hopes the idea could also be used to help【C8】other diseases. Flu Trends is limited【C9】 the US. Jeremy Ginsberg and Matt Mohebb, two software engineers 【C10】in the project, said that【C11】in Google search queries can be very 【C12】. In a blog post on the project they wrote: "It turns【C13】that traditional flu surveillance systems take 1 to 2 weeks to collect and【C14】surveillance data but Google search queries can be【C15】counted very quickly. By making our estimates【C16】each day, Flu Trends may provide an early-warning system for outbreaks of influenza." They explained that 【C17】 information health would be kept【C18】. "Flu Trends can never be used to identify individual users【C19】we rely on anonymised, aggregated counts of how often certain search queries【C20】 each week." 【C3】

A. tendency
B. adaptability
C. adoptability
D. direction

跨国犯罪

本程序统计字母m在字符串"I am Tom, I am from China."中出现的次数。 public class exam_37{ public static void main(String[] args){ String str="I am Tom, I am from China."; char c=’m’; int i; int sum=0; for(){ ; if(c==temp) __; } System.out.println(str+"中"+c+"出现了"+sum+"次"); } }