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TOEIC・英語 大学生・専門学校生・社会人

このプリントの穴埋めをして英文和英しなさいという問題です。助けてください

英語2A レポート課題(2026年前期) 以下の英文中の( 内に入れるのに適切と思われる1語を、 下の 入れなさい。 そのうえで全文を和訳しなさい。 の中から選んで ite of national diger Most funny stories are based on comic situations. In spite of national differences, certain funny situations have a ( 1 ) appeal. No matter ( 2 ) you live, you would find (3) difficult not to laugh at, say, Charlie Chaplin's early films. However, a new type of humor, called 'sick humor', has come into fashion. The following example of 'sick humor' will enable you to judge for yourself. A man ( 4 ) had broken his right leg was taken to a hospital a few days before Christmas. From the moment he arrived there, he kept on annoying his doctor to tell him ( 5 ) he would be able to go home. He felt afraid ( 6 ) having to spend Christmas in the hospital. On Christmas Day, the man still had his right leg in plaster. He spent a miserable day in bed thinking of all the ( 7 ) he was missing. The following day, however, the doctor consoled him by telling that his chances of being able to leave the hospital ( 8 ) time for New Year Celebrations were ( 9 ). The man took heart and, sure enough, on New Year's Eve he managed to walk along to a party. To ( 10 ) for his unpleasant experiences in the hospital, the man drank a little more than was good for him. He was still grumbling about hospitals at the end of the party when he slipped on a piece of ice and broke his left leg. blame compensate money yourself where of in at by with fun good whose who it when special universal

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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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生物 大学生・専門学校生・社会人

生物の問題です。 (3)の考え方が分かりません。

問4 次の文章を読んで、 (1) から (3) の問いに答えなさい。 神経細胞は、核をもつ細胞体と、多数の短い A突起と、1本の長く伸びた Bから なり、ニューロンともいわれる。 神経には、 B の周りを取り巻く髄鞘をもつ有髄神経 と、髄鞘をもたない無髄神経があり、有髄神経では、ところどころに B が露出した部 分があり、これをC という。 静止状態の神経細胞では細胞内のカリウムイオンの濃度が細胞外に比べて高く、ナトリ ウムイオンの濃度は細胞外の方が高い。 このときの電位を静止電位といい、 細胞内が細胞 外よりもマイナスになっている。刺激を受けると、この電位が逆転する。このときの電位 を活動電位といい、 活動電位の発生が興奮である。 a 神経細胞は、一定の強さ以下の刺激 では興奮が起こらないが、それ以上の強さの刺激を受けると、刺激の大小に関わらず同じ 大きさの興奮が起こる。 1つのニューロンの Bの末端は、他のニューロンの細胞体や A突起とわずかな隙 間を隔てて接しており、この部分をD という。 Bの末端のD 小胞から放出さ れた神経伝達物質が、 隣接するニューロンに興奮を伝える。このように1つのニューロン から、別のニューロンへ興奮が伝わることをE という。 (1) 空欄AからEに当てはまる語句を、以下の①から⑩ の中から選んで、番号で 答えなさい。 ① 樹状 ② 星状 ⑤ サルコメア ③ アクチンフィラメント ⑥ ランビエ絞輪 ⑦ テロメア ④ 軸索 ⑧ シナプス ⑨ 伝達 ⑩ 伝導 (2) 下線部aの法則を何というか答えなさい。 (3)次の図1のように、上記 D の連結のある2本の神経を取り出し、 (オ) の部位 に単一刺激を発生させ、 (ア) から (エ) の部位の電位の変化をオシロスコープで測 定する実験を行った。このとき、(ア)から(エ)のオシロスコープで観察される波 形の形状を最もよく表したグラフを、選択肢 a からiの中から選んで、記号で答えな さい。 ただし、全てのオシロスコープの電極は神経の外表面に接しており、 脊髄側の 電極を基準にして神経筋接合部側の電位変化を見るものとする。 60

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