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English Senior High

四角2の8なぜto catchなのですか

20 ove. to be no 大学 Step 2 実践問題 First Stage Second Stage (答別冊 p.29) 1 イラストの内容に合うように,( )内の語を参考にして、英文を完成させなさい。 1) 2) (3) e's birt is said to about it h A 1) The woman doesn't mind 2) The man offered 3) The boy regretted in line for a while. (wait) 7 the elderly woman with the baggage. his umbrella. ② 次の文章を読み、()内の動詞を適切な形にしなさい。 (help) (bring) I have been on a dance team since I was in junior high school, so I'm used to '(dance) in front of others. I love to dance, but sometimes I have difficulty 2 (learn) new moves. When that happens, I practice 3 (dance) a lot with my teammates. I had a bad time once. I had to stop 4(dance) for a while because of a knee injury. I couldn't help 5 (cry) every day, but I tried be *positive. After (recover), I practiced hard again with the others. I'm proud of (do) so. NOTES positive 「前向きな」 catch up with ~ 「〜に追いつく」 3 次の日本文を英語に直しなさい。 catch up 今夜は勉強する気がしません。 I don't feel like studying tonight. 「動名詞 2 本日はパーティーにお招きいただき、ありがとうございます。 Thank you for inviting 3) 私は子どものころに、その動物園を訪れたことを覚えています。 4) 雪のために,その飛行機は離陸できなかった。 NOTES 4) 「離陸する」 take off Pome to the party today. (the snow を主語にして) Let's write about... 健康のためにいいと思うことを、動名詞を使って書いてみよう。 例) Having breakfast is good for your health. It gives you a lot of energy and gets you ready for the day. I also enjoy eating breakfast leisurely with my family on Sundays. 32 231

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TOEIC・English Undergraduate

この長文問題の答えと解説をお願いします。

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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English Senior High

答えあっていますでしょうか😭😭12、14、 15、18の訳これで大丈夫ですか、、?🥲🥲

主に その大学は高校の成績や書き能力に基づいて生徒たちに奨学金を与える。 10. The university gives scholarships to students mainly ( ) their high school grades and writing ability. ① inclined to ② result of 全幅 be based on A Aに基づいている ③ based on ④ represented by 〈酪農学園大〉 私はジェーンにはなしかけてみたが、彼女はとても彼女の宿題に夢中だったので、私に耳を傾けなかった 11. I tried to talk to Jane, but she was so absorbed ( ) her homework that she didn't hear me. さる人 be absorbed in AAに夢中である ① on ② for ③ at そのペレノン行きの電車は1:23に到着します Lecoqo ④in 〈神戸女子大〉 qu bat me ① by ②for agehmen ③ in (訳) 12. The train bound ( Pelham arrives at 1:23. be bound for A A行きである <明治大〉 ④ with ジェーンはすごく熱心に勉強してるので、とてもその試験に受かりそうです 13. Since Jane has been studying very hard, she is very 外国 to pass the examination. ③ likely be likely table todo ~しそうである ① easy ② pretty 私たちは今、スキーに行くことになっていたが今は雪がひどくかっている 〈京都女子大 〉 14. We were ( ) to go skiing today, but it's snowing too hard right now. be supposed to d ① hoped ② supposed ③ thought □15. あなたがワーを使うとき、きっと水を大切に使う ) conserve water when you take a shower. 4 wanted ~することになっている 〈京都産業大〉 be sure to do きっと~する ① Sure to ② Be sure ③B 3 Be sure to 彼の父は中古車に250ドル払うことをきにしなかった。 ④ Be sure of 〈神奈川工科大 > ① far ② good 16. His father didn't mind paying $250 for a used bike/because it looked as ( as new. ③ long 新品 well ④ as good as ~も日本大) 17. 日本とアメリカでの間の流行の違いだけでなく似ている点もまたたくさん発見した 'found many similarities as fashion) as differences between Japanese and American BだけでなくAもまた A as well as B ① long 2 far あなたの生物学のレポートはどうですか 訳□ 18. A: How's your biology report going? ③ soon ④ well ve water se putea fi so it should be fod" ("?" a ailand ① as well ② for instance ③ in case finished in a couple of hours. yo④ so far 今までのところ 〈中村学園大 〉 To gal D of hours. <麻布大〉 B: I've written five pages 19. She has a sore throat and cannot even speak, ① let both 彼女は幸せに見える 20. She looks happier. ① worthy of ~は言う ② let aloneな③ not only 彼女はかってまり裕福である。 sing. 4 not either She is ( ) than she used to be. be well off 裕福である ② better off 3 in short ④ content with 〈明治大〉 <東邦大〉

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