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理科 中学生

1の⑷の問題でなぜ答えがオになるのか図を使って説明してほしいです

1 [光の性質] 次の実験について,あとの問いに答えなさい。 (10点×550点) 〔実験1] 図1のように, 正方形のマス目の上に鏡を垂直にたて 〔図1] 鏡と棒を真上から見た 置き, マス目上の点ア~オの5か所に, 棒をたてて置いた。 点Aの位置から鏡を見たとき,どの棒が見えるか調べた。 [実験2] とうめい (1) 図2のように、透明なガラスでできた底面が台形の四角柱 H ようす -鏡 A ウ イ オ を置き、このガラス製の四角柱の高さよりも高い円柱の棒 〔図2] ガラス製の四角柱と棒 を,X, 点Yの2か所にたてて置いた。 (ii) 点Aの位置から点Xの位置の棒を観察した。 を真上から見たようす ガラス製の X 四角柱 (Ⅲ) 点Aの位置から点Yの位置の棒を観察すると, ガラス製の 四角柱と重なっている部分は見えなかった。 (iv) 実験2の(Ⅲ)の理由を調べるために, 図3のように, 点Y の A 位置に光源装置を置き, 点Aの方向に向けて, 光をガラス 〔図3〕 (iv) の実験装置を真上 製の四角柱に入射させたときのようすを真上から観察した。 向 (1) 光が鏡などの表面にあたってはね返ることを何というか, 書きな さい。 から見たようす ガラス製の 四角柱 点Yの位置に 置いた光源装置 (2) 実験1で,鏡にうつって見える棒を,図1のア~オからすべて選 び、記号で答えなさい。 比 A (3) 光が空気からガラスなど異なる物質どうしの境界へ進むとき, 境界面で光の道筋が曲がること を何というか,書きなさい。 estate (4)実験2 (ii)で,観察された棒の見え方を表した図として最も適切なものを、次のア~オから1 つ選び, 記号で答えなさい。 ア イ ウ I オ (5) 実験 2 の(iv)で,光源装置から出た光の道筋を表した図として最も加え ら1つ選びド 古峠

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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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