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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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化学 高校生

化学の電気分解についてです 陰極と陽極で還元されたり酸化されたりするのは 陰極ではNi Cu Ag などの金属イオンで 陽極ではハロゲン化物イオンと決まってるんですか? これは暗記ですかね

0.04 406 第3編 物質の変化 19 各極の電気分解反応 11 陰極での反応 第4章 酸化還元 陰極へは電源の負極から電子が流れ込むので,水溶液中の物質が電子を受け取る 反応がおこる。 このとき, 最も還元されやすい物質 (分子やイオン)から還元される。 たとえば,Ag+, Cu2+, Ni2+ を含む混合水溶液を電気分解したとき,イオン化傾向に Ni>Cu>Ag の順なので,まず最もイオン化傾向の小さなAg* が還元されてAgが析出 し,次に Cu2+が還元されて Cuが析出し, 最後に Ni2+が還元されて Ni が析出する。 一般に,陰極での反応をまとめると次のようになる。 Ag+ や Cu2+のようなイオン化傾向の小さな金属イオンは還元されやすく, 金 の単体(Ag や Cu) が析出する。 Ag+ + e Ag Cu2+ + 2e__ ← Cu Lit, K+, Ca2+, Nat, Mg2+, AI3+ のようなイオン化傾向の大きな金属イオンは 還元されにくく, 代わりに溶媒の水分子が還元されて H2 を発生する。 2H2O + 2e → H2 + 20H¯ ただし,酸の水溶液の場合、多量にあるH+が還元されて H2 を発生する。 2H+ + 2e H2 2 B 陽木 酸化. る。

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