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生物 大学生・専門学校生・社会人

志望校の今年の問題です。本番ではアに3 イに1と解答しました。答えわかるヒト教えてほしいです。ほか自己採点できたのですがここだけあやふやです

Ⅰ. 次の文章を読み, 問いに答えよ。 地球上には,名前がつけられているだけでも約190万種の多様な生物 が存在する。これほどまでに多様な生物が存在するのは,進化の過程で 祖先にはない形質をもつ生物が現れ、 さまざまな環境に生活の場を広げ ていったためと考えられる。 下の図 1 は, 共通の祖先をもつ動物の進化 の道すじを示した系統樹である。 しかし,その一方で,すべての生物に は共通する特徴 (A) もある。 また生物は, 20mをこえる シロナガスクジラから, 3μm ほどの大腸菌まで,大きさも 多様である。 肉眼の分解能は 約 0.1mm であるため, より 小さい生物を観察するには顕 微鏡 (B)などの実験器具を用 いる必要がある。 魚類 両生類 は虫類 鳥類 哺乳類 (ア) (イ) (共通の祖先) 図1 問1 (2026-A11) 図1 中の (ア)(イ)の位置に存在したすべての動物が持って いた特徴について, 正しいものを以下の①~⑥ からそれぞれ一つず つ選び, 1 2 にマークせよ。 ア 1 . イ 2 ① 一生を通じて四肢をもつ ③ 水中 卵生である • ⑤ 一生を通じてえら呼吸をする ② 羽毛をもつ ④ 授乳による子育てをする ⑥ 胎生である

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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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