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TOEIC・英語 大学生・専門学校生・社会人

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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英語 高校生

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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物理 高校生

(3)についてです。 人、ゴンドラ、体重計を1つのものとして、αで加速してるとき2Tの力が加わってる3枚目①の式。人に加わる力の慣性力N+T=Mg+Mαの3枚目②の式から求めても正解ですか?模範解答とは違います。

9 運動方程式 ゴンドラGの上の体重計Hに乗っている人 が,定滑車を通した綱を引張って, 空中でつ り合いの状態にある。 人, ゴンドラおよび体 重計の質量をそれぞれ, 60kg, 20kg 10kg とし,重力加速度を g 〔m/s2〕 とする。 綱の質 量は無視できるものとする。 (1) この人に作用する力を,矢印を用いて, 図の中に描き込め。 9 運動方程式 29 H (2)綱(鉛直部分) の張力はいくらか。 また、 体重計の読みはいくらか。 G 次に,綱に一定の力を加えながら, たぐりつつ上昇したり,綱をく り出しながら下降したりした。 ある時間のあいだ、体重計の読みが, 16.5kg であった。 (3) このときのゴンドラの加速度を求めよ。 鉛直上向きを正とする。 ( 信州大) Level (1) ★★ (2) ★ (3) ★ Point & Hint (1) 「人が綱を引張って」 という文章に引きずられないよう に。 人が受けている力を図示する。 (2)HとG,さらにはGをつるしている斜めの綱まで一体としてみるとよい。 作 用・反作用の法則に注意。 張力T LECTURE T ( (1) 人に働く力は右のようになっている。 垂直抗力 力のつり合いより N N N+T = 60g ・① 人が綱を下へ引く (下向きの力を加える) ので,人は綱から上向きの力 (張力)を受け -作用・反作用の法則である。 ただ, る mg 重力 60g 図 a 図 b

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