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TOEIC・English Undergraduate

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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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English Senior High

英語です。 二枚目の文法を使って動詞を変形させる問題です。 一問目はわかったのですが、そのほかがわからなかったので教えてください🙏

Grammar A police officer is looking for a thief who stole a jewel from a shop last night. Miku Suspects Harry shop clerk Ms. Smith shop clerk 2 Mr. Sato shop owner security guard *suspect *. witness Witnesses to the Crime I'm not sure whether the thief was a man or a woman. The person had light-colored hair. Last night, I saw a person wearing glasses coming out of the shop. A few minutes later, the alarm went off. I saw a person running out of the shop at around 9 o'clock. I was talking with the shop owner, Ms. Smith, at that time. *thief E crime, light-colored, alarm, go off Q1. Complete the police officer's report. Use the words below in the correct form. [ commit / have / see / know ]umbs Asolarpotenz •stole only the most expensive jewel in the shop. The thief....seemed I have " had the key to the shop. ⚫turned off the security cameras beforehand. appears (2 )( "Known ) the details of the shop. My boss and I are (3 )( ) the most suspicious person tomorrow. We are sure of '5(4 ) the crime. *commit ~犯罪など) を犯す, beforehand 事前に, suspicious 疑わし Q2. Get into pairs and ask each other the questions below. (1) According to the witnesses' hints, who seems to have stolen the jewel? Choose one the suspects. Mr. Smith Sato (2) Why is he/she the most suspicious? Because s seems to have stolen the jewel. Key Points for Expressing (➡p. ① 述語動詞よりも前の時を表したいとき 同じ時 to have done / having done を用いる。 to be → seem to have done 「~だった [した]ようだ」 予定・義務可能 意図 運命を表したいとき be to do 「~することになっている 〈予定〉」 「~しなければならない 〈義務〉」 「~することができる <可能> 「~するつもりである 〈意図〉」 「~する運命にある〈運命〉」

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Political economics Senior High

このグラフの2022年度末の国債残高が約1070兆円になるのはなぜですか?1037兆円ではないのですか?

*** 1 次の国債残高の蓄積 (2022年度末見込み。復興債は除 <)を示したグラフについて、以下の空欄にあてはま (円) る数値や語句を答えよ。 1000- 900- 800- 700- 600- 500- 400- 300 赤字国債等残高 200- 100- 1,037 1兆円 745 |兆円 X292 「兆円 化 建設国債残高など 引き受け 1965 70 75 80 85 90 95 2000 05 10 1522 (年度末) 1,070, 消化 186, 1,250 ウディング= ト(押しのけ 逃避 (キャピ フライト) 国債残高は、2022年度末で約★★★ 兆円、 対 GDP 比で★★★ %に達する見込みである。これに地方債 残高を加えた長期公的債務残高は★★★兆円を突破 し、対GDP比も200%を超えている。 20年、新型 コロナウイルス感染症 (COVID-19) への緊急経済対 策として、 同年度の ★★★ 予算が3度にわたり組ま れ、そのすべてが ☆☆☆☆ の追加発行で調達されたこ とにより国債依存度は急上昇し、 国債残高は激増した。 2020年度は、訪日外国人旅行客 (インバウンド) の需要激減、 れた。 全国民に対する特別定額給付金や、 中小企業や個人事業 営業自粛なパラリンピックの延期、店舗や大型施設など 主などを対象とした持続化給付金などの緊急経済対策による多 社会は大きな停滞を余儀なくさ 額の財政出動の財源は国債発行に依存した。 なお、 「アフターコ ロナ」の中で、入国制限が緩和されたことから、インバウンド需 要が急増している。 補正, 国債 フレ M 経済 12公債~国債と地方債 275 MA た が国体が べ問評

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