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英語 中学生

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標準問題 1 〈場所・方法を表す前置詞> 次の英文の空所に,[ □(1) We had lunch at (2) The book Oh a restaurant the desk is mine. ]内から適語を選んで書きなさい。(1回ずつ使用) in 3) I walk for to school with my brother every day. We took the train from Kobe to Hakata. Kamakura. (5) The post office is between the hospital and the library. ☐ (6) Nancy stood among the children. (7) Our bus leaves here for (8) The sun is shining above (9) The man came into Tokyo at 10:45. the mountain. this room through the window. [in/for/into/ above /on/from/at/through among/to/between ] 2 〈時を表す前置詞> 次の英文の空所に, [ (1) Mr. Brown came to Japan (2) We enjoy skiing in (3) You must finish the work (4) He waited for his friend (5) I got up at (6) We have no school ]内から適語を選んで書きなさい。 (2回使ってもよい) the second of July winter. next Friday. five o'clock. oh at seven this morning. until (7) I have known her since ✰ ☐ (8) My sister has been sick Saturday and Sunday. ten years. [ at/by/for/in/on/since until ] this morning. 3 <その他の前置詞> 次の文の( )内から適語を選び, 記号を○で囲みなさい。 (1) I am going to make a cake (7 from 1 about for Taro. (2) They went to Sapporo (7 on (3) She cut the meat (7) with 1 (4) Wine is made (7 into 1 of by by with) plane. in) a knife. from) grapes. from) paper. of I by) butter. with in) French. at) our plan? with) two thousand yen. with) you. (5) The bag is made (7 into 1 of (6) Milk is made (7 into 1 from (7) This book is written (by (8) What do you think (about 1 for (9) I bought this cap (by) 1 for ☑☐ (10) Take some money (about 1 to (11) My mother is younger than my father (12) We were surprised (7 with 1 in X(13) The basket was filled (7 of ✗☐ (14) Don't speak (7 with 1 in in (7 for by in) two years. at the picture. from ) apples. 1 with at I on) your mouth full. 2005.

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TOEIC・英語 大学生・専門学校生・社会人

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15 語数: 398 語 出題校 法政大 5 We are already aware that our every move online is tracked and analyzed. But you 2-53 couldn't have known how much Facebook can learn about you from the smallest of social interactions - a 'like'*. (1) Researchers from the University of Cambridge designed (2) a simple machine-learning 2-54 system to predict Facebook users' personal information based solely on which pages they had liked. E "We were completely surprised by the accuracy of the predictions," says Michael 2-55 Kosinski, lead researcher of the project. Kosinski and colleagues built the system by scanning likes for a sample of 58,000 volunteers, and matching them up with other 10 profile details such as age, gender, and relationship status. They also matched up those likes with the results of personality and intelligence tests the volunteers had taken. The team then used their model to make predictions about other volunteers, based solely on their likes. The system can distinguish between the profiles of black and white Facebook users, 15 getting it right 95 percent of the time. It was also 90 percent accurate in separating males and females, Democrats and Republicans. Personality traits like openness and intelligence were also estimated based on likes, and were as accurate in some areas as a standard personality test designed for the task. Mixing what a user likes with many kinds of other data from their real-life activities could improve these predictions even more. 20 Voting records, utility bills and marriage records are already being added to Facebook's database, where they are easier to analyze. Facebook recently partnered with offline data companies, which all collect this kind of information. This move will allow even deeper insights into the behavior of the web users. 25 30 (3) - Sarah Downey, a lawyer and analyst with a privacy technology company, foresees insurers using the information gained by Facebook to help them identify risky customers, and perhaps charge them with higher fees. But there are potential benefits for users, too. Kosinski suggests that Facebook could end up as an online locker for your personal information, releasing your profiles at your command to help you with career planning. Downey says the research is the first solid example of the kinds of insights that can be made through Facebook. "This study is a great example of how the little things you do online show so much about you,” she says. "You might not remember liking things, " but Facebook remembers and (4) it all adds up.", * a 'like': フェイスブック上で個人の好みを表示する機能。 日本語版のフェイスブックでは「いいね!」 と表記される。 2-56 2-57 2-58 36

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英語 高校生

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19764975 17. It will not be long (___) she can have the transplant surgery. 1 when 2 time 3 after It will not be long before SV 4 before ④till~するまで 18. The old man watched the ship (become smaller and smaller) ☐ 19. ( 1 because guon 2 unless 3 after <兵庫医科大〉 ) it was seen no more. 〈獨協大〉 ) my son enters elementary school, he should be able to say the English alphabet. ①Before long ②By the time ③While 4 Until 11(t) 20. He had no sooner arrived at home (min) it started to rain. S had no sooner done 1 as □ 21. ( ①Fairly 2 for 3 when than 101 ... than did ・・・したらすぐに~し(札幌) ~ ) had the meeting started when an earthquake shook the building. Hardly had s done 3 Immediately Rarely 倒置形 <明治大) 2 Hardly ? 22. ( ) begun considering the solution when an 報が入ってきた came in. Hea ~したらすぐにした 2 Before the men had 4 Soon had the men 1 As soon as the men had ~~したらすぐに 3 Scarcely had the men 人間は彼らが生き残るために必要なものを生産しはじめるとすぐに 〈日本大〉 23.( human beings started to produce what they needed to survive) they set themselves ① As soon as ~するとすぐに (大) apart from animals. eogebroe 2 The reason why 4 As it is * 3 No more than 24. I knew something was wrong with the engine ( although 2 even if 3 however ) I tried to start the car. 〈関西外国語大〉 12 the moment ~するとすぐ(近畿大> ⑨the

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