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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

高1 英コミI 日本語訳の解釈のお手伝い、お願いします🙏🙏 写真より、 ⑥I know … their home. の文章について疑問があります… 「but」以下の日本語訳が (しかし、森林伐採と炭焼きは、永久に彼らの故郷を変えてしまうかもしれません。) となるのです... 続きを読む

Lesson 3 We Can Make a Difference Q Listening 本文の音声を聞いて、要点を捉えてみましょう。 1. Lilanda が指摘している問題はどれですか. a. ゴミの増加 b. 森林伐採 2. Lilandaの職業は何ですか. c. 水のむだ使い a. 農家 b. 歌手 c. *i Part WAL Reading 本文を読んで、上の答えを見直してみましょう。 太字の単語や点線の熟語 Lilanda, Zambia 別冊の「語彙ノート」 p. 7 Part 3 ①When I visited the countryside of Zambia / as a child, / my family and I/ would return / with many fresh fruits and vegetables. // ②Everything was plentiful. // 3 However, / because of lack of rainfall, there's nothing to harvest in the village now. // People's lives depend on charcoal burning. // They cut down trees, / burn charcoal, and sell it to buy some food.// ⑥I know the difficulties of surviving in this land, but deforestation and charcoal burning could permanently change their home. // Deforestation 永久に definitely leads to climate change. // As a singer, / I convey messages about preventing climate change / through singing songs. // I will continue using my voice / to tell more people about the need/ for reforestation. //(113 words) 1 2 30

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化学 高校生

問1についてなのですがなぜ還元性物を加えるのかが分からないです。教えて頂きたいです。よろしくお願いいたします。

次の文を読み, 問1~5に答えよ。 a 銅鉱石の一つ黄銅鉱 (組成式 CureS2) から, 銅を取り出すには、次のような方法がある。ま ず,黄銅鉱を,粉砕して微粉末とした後, 空気中で強熱して 酸化物に変える。これに濃硫酸 を加えて加熱,溶解し,冷却後,水で希釈してろ過する。得られたろ液に過剰の試薬1を加 え,アルカリ性にすると褐色沈殿が生じるので、この沈殿をろ過で除き, 深青色の溶液を得る。 この溶液から銅を回収できる。 b ところで,銅(II)イオンの濃度を決定する方法として,次のような滴定法が知られている。 すなわち,中性または弱酸性条件下,銅(II)イオンを含む水溶液に,過剰のヨウ化カリウム水 溶液を加えると,白っぽい沈殿が生じると同時に,溶液は褐色となる。 2Cu2+ + 4I → 2 CuI + I2 これに、濃度既知のチオ硫酸ナトリウム水溶液を加えて滴定し,溶液の色が次第に薄くなり無 色になったところを終点とする。 I2 + 2S2O32 → 2I + S4O62- なお,生成したヨウ化銅(I) の白色沈殿は, チオ硫酸ナトリウムと反応せず, 滴定中もその まま沈殿として残るので, 滴定の妨害にならない。 問1 下線部aの銅の酸化物は,おもに黒色の酸化銅(II) であり,赤色の酸化銅(I)は,わず かしか含まれていない。 硫酸銅(II) 水溶液を使い, 酸化銅(I) を作るにはどうしたらよい か。 具体的に説明せよ。 問2 下線部bの試薬1の夕称31)

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