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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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Mathematics Senior High

微分の問題について質問です。 解説のマーカーを引いたところが分かりません。 一つ目のマーカーの部分の式はどうやったらこうなるんですか?二つ目のマーカーのところのt^2-2t-6はどこから出てきたんですか?またそれ以降の計算をする意味が分かりません。

例題 2234次関数のグラフの接線 思考プロセス 例題 221 f(x) = x-4x-8x°とする。 **** (1) 関数 f(x) の極大値と極小値,およびそのときのxの値を求めよ。 (2) 曲線y=f(x) に異なる2点で接する直線の方程式を求めよ。 (北海道大) ReAction 接線の方程式は、接点が分からなければ (t, f(t)) とおけ 例題 218 (2) 段階に分ける 曲線 y=f(x) 異なる x=t における y=f(x) の接線が x=t 以外の点で再びy=f(x)に接する。 の方程式とy=f(x) を連立すると (x-t) (xの2次式)=0 x=t 以外の重解 ARES 0-(-x=t (1) f'(x) =4.x-12x²-16x=4x(x+1)(x-4) f'(x) = 0 とすると x = -1,0,4 よって,f(x)の増減表は次のようになる。ゴ y=f(x) 再び接する x -1 0 ... 4 |f'(x) 共 0 +0 0 + YA y=f(x)| f(x) -30V -128 7 -10 4 したがって x=0のとき極大値 0 N x=1のとき極小値 3 -3 x=4のとき極小値-128 -128 (2) 曲線y=f(x) 上の点(t,t-4-8t2) における接線 の方程式は,f'(t) = 4t-12-16t g y-(4-4t3-8t2) = (4t³ - 12t² - 16t)(x-t) y= (4t-12-16t)x-3t+8 + 8t? ① と y=f(x) を連立すると .. 1 x-4x³-8x2 = (4t3-12t2 - 16t)x-3+4 +8t3 +8t² (x_t)^{x2+ (2t-4)x+3t2-8t-8} = 0 ①が曲線 y=f(x) と x = t 以外の点で接するのは x2+(2t-4)x +362-8t-8=0... ②がx=t 以外の この接線は1つの接線に 対して、2つの接点が 応している。 このような 接線を複接線という。 例題 218 Point 参照。 x = tで接するから, xt) を因数にもつ。 重解をもつときであるから, ② の判別式をDとする方式 D 4 D=0 141=(t-2)2-(3t-8t-8)= -2t + 4t + 12 よって, 2-2-60 より このとき②重解は t=1±√7 =24-4-t+2=1√7(複号同順) 2 398 これは, tと異なる。 はない

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