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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

英検準2級のEメールのライティングの問題です。作成した文が正しいかどうか見て欲しいです。

あなたは、外国人の知り合い (Alex) から, Eメールで質問を受け取りました。 この質問にわかりやすく答える返信メールをに英文で書きなさい。 がより理解を深めるために, 下線部の特徴を問う具体的な質問を2つしなさい。 あなたが書く返信メールの中で, Alex のEメール文中の下線部について、あなた ■あなたが書く返信メールの中で [ です。 ■に書く英文の語数の目安は40語~50話 ■ 解答は,解答用紙のB面にあるEメール解答欄に書きなさい。 なお、解答欄の外 に書かれたものは採点されません。 解答が Alex のEメールに対応していないと判断された場合は, 0点と採点される ことがあります。 Alex のEメールの内容をよく読んでから答えてください。 □の下の Best wishes, の後にあなたの名前を書く必要はありません。 Hi! I want to tell you something/ My dad and I went to/a new stadium/last Sunday. It opened two months ago. We watched/ a rugby game/between two university teams/there./ My dad taught me/some of the rules, too. It was my first time,/so it was very exciting. I will continue to watch rugby/ Do you think/more people will watch this sport? Your friend, Alex Hi, Alex! Thank you for your e-mail. 解答は,解答用紙のB面にあるEメール解答欄に書きなさい。 なお,解答欄の外に書かれたものは採点されません。

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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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Physics Senior High

例題15の解説で先生に ma=静止摩擦力(F)より ma=2分の1mg-動摩擦力 と教わったのですが、どうしてこうなるのか分かりません💦 どなたか教えてください。お願いします🙇

銅と鋼鉄 0.53 0.36 との間の動摩擦係数を0.20 とする。 アルミニウムと鋼鉄 0.61 0.47 例題 15 動摩擦力 25 傾きの角30°のあらい斜面上を物体がすべり下りるとき, 物体に生じる加 速度 a [m/s2] を求めよ。 重力加速度の大きさを9.8m/s?, 斜面と物体との 間の動摩擦係数を2gとし、斜面にそって下向きを正とする。 垂直抗力 N 指針 動摩擦力は物体の運動を妨げるように斜面にそって上向きにはたらく。 物体の質量をm[kg], 重力加速度の 大きさをg[m/s2], 動摩擦係数をμ' とする。斜面に平行な方向について, | 物体の運動方程式を立てると ma= mgsin30°- μ′N ma=合力 (kg)(加速度) mgsin 30° 正の 動摩擦力 F=N 130 一方,斜面に垂直な方向の力はつり あっているからN-mgcos 30°= 0 よって N=mg cos 30° 30° mg cos 30° 重力 mg これを①式に代入して整理すると ma=静摩 a=g(sin30°-μ'cos 30°) ma= (F) ma= 1 = 9.8× 1 √3 9.8 × ≒2.5m/s2 2 2√3 2 4 <勤垂直抗力 類題15傾きの角30°のあらい斜面上にある物体に初速 度を与え、斜面にそってすべり上がらせた。こ のとき、物体に生じる加速度α[m/s] を求めよ。 重力加速度の大きさを9.8m/s斜面と物体と の間の動摩擦係数を 1 130° ヒント 動摩擦力は物体の運動を妨げる向きにはたらく。 2√3 とし,斜面にそって上向きを正とする。 これは実験によって見出された近似的な関係である。 あらい 斜面 ここで学ぶ動摩擦力をすべり摩擦力という。一方, 球状物体や円筒状物体が,面上を転 がるときにはたらく摩擦力を転がり摩擦力といい, これはすべり摩擦力よりもはるかに 小さい。 車輪やベアリング (軸受け)などは,このことを利用したものである。

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