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TOEIC・英語 大学生・専門学校生・社会人

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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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数学 高校生

1枚目の線引いたとこは、いまいち何やってるのかわからなくて、2枚目の線引いたとこは、公式とかに当てはめてるの?っていう疑問です。教えてください😭

(15点) 2 漸化式: 推定と数学的帰納法 数列{a}が で定められている. 【方針】 100 を求めよ. α」=2026, an+1=lan|-n (n=1, 2, 3, ...) a の符号に注目する。 初めてα+1 <0となるnまではan+1=an-nが成り立つ. それ以降については,一般項を推定 し,それが正しいことを証明してから用いる. 【解答】 an+1=|an|-n. (n=1, 2, 3, ...) ... 1 40 のとき, ①より, an+1=an-n ② であるから, an> an+1. ... ③ αが整数であるから{a}の項はすべて整数であり, ③よりan < 0 となる正の整数 n は存在す る。 このうち最小のnをNとする. α1>0であるから, N≧2 である. a > az>as>・・・>an10>an. n = 1, 2, 3, ..., N-1 において ②が成り立つので, ここで, (30点) an a₁+(-k) 【解説】 k=1 (n-1)n (ア) 参照 =2026- (n=2,3,4,.., N) 2 63.64 2026- =10>0, 2026- 2 64-65 2 -=-54 < 0 ③ であるから, N=65であり, a64=10, a65=-54. 次に, 33 以上の整数に対して azm=22-m が成り立つことを数学的帰納法で示す. [I] =33のとき. ①とα65=-54< 0 より, a66=54-65-11(22-33) であるから, (*) は成り立つ. [II] は33以上の整数) のとき,(*) が成り立つと仮定する。 azk=22-k. このとき ① と k <0より, azk+1=-(22-k)-2k=-k-22. さらに, ① と azk+1 <0より, a2(k+1)=k+22-(2k+1)=21-k=22-(k+1) となって,m=k+1のときも(*) が成り立つ. [I],[II]より, 33以上の整数mに対して(*) が成り立つ. よって, 100=A250=22-50=-28. 29 ... (*) 【解説】 (イ) 参照

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英語 高校生

英語コミュニケーションⅡの「ムジナ」の本文から解く問題です (1) 結衣が私たちに昨日話してくれたのはこのようなものですか。 (2) 私の父が私に何をくれたかあなたに見せましょう 本文中の表現を使って英語にせよ。 (1) What did the soba-se... 続きを読む

教科書 p.73 The merchant ran up Kiinokunizaka. Surrounded by the darkness, he was scared and could not look back. After a while, at last, he saw a lantern up ahead. It looked like the faint light of a firefly. It turned out to be the lantern of a soba-selling stand. 和 The merchant threw himself down at the feet of the soba-seller and cried out, "Ah! Ah!! Ah!!!"016 見 言 和訳 商人は紀伊国坂をかけ登った。 暗闇に包まれて、怖くて振り返って見るこ とができなかった。 しばらくして、ついに, 商人は前方にちょうちんを見つ けた。 ホタルのかすかな光のように見えた。 それはそばを売り歩く屋台のち ょうちんであることがわかったのだ。 語 WI an hu no 商人はそば売りの足もとに, 身を投げ出して声をあげた。 「ああ! ああ!! ああ!!!」 語句と解説 run up~ ~をかけ登る look like ~ ~のように見える surrounded by the darkness be scared 怖い 暗闇に包まれて look back 振り返って見る after a while しばらくして at last ついに lantern ちょうちん ahead 前方に faint light かすかな光 firefly ホタル turn out to be ~ ~であることがわかる soba-selling stand そば売りの屋台 throw oneself down at ~ ~に身を投げ出す at the feet of ~ 〜の足もとに cry out 声をあげる 教科書 p.74 "What happened?" said the soba-seller. "Did anybody hurt you?” "No, nobody hurt me," said the merchant, breathing heavily. "Only scared you?" said the soba-seller calmly. “Robbers?" "Not robbers, not robbers," said the merchant. "I saw a woman by the moat. She showed me Ah! I cannot tell you what she showed me!" ・・・・

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