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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

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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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成人看護/呼吸器疾患患者の看護 使い方は若頭を ご覧ください。 主な症状と看護 咳嗽には、喀痰を伴う_ 呼吸困難(息切れ)を客観的に表現するのには 修正 Medical Research Council (mMRC) 息切れスケールが用いられる。 性咳嗽と、喀痰を伴わない性咳嗽がある。 の分類や。 比べ MOTOAL GOOD 修正 Medical Research Council (mMRC) 息切れスケールは,グレード に分類されている。 激しい運動をしたときだけ息切れがあるのは、グレード TOTOA (69) である。 合 位など, 呼吸しやすい 呼吸困難時や咳嗽時は にする。 位, 間奮呼吸困難のある患者には、環境を整えたり、声かけやタッチングをしたりなど 面への配慮も行う。 換気障害は、 性換気障害 (8性換気障害, 混合性換気障害に分類さ れる。 34 喀血時,出血部位が判明している場合は, を下とする側臥位を基本とし、 への血液の流入を防止する。 SREST (8mm) no 喀血による失血は (106) 代表復血潮 _低下など組織循環に影響を及ぼすため、バイタルサイン の変化に注意する。 素沈工高の増 チアノーゼは、還元ヘモグロビンの量が _g/dLを超えると生じる。 101 高度の低酸素血症では, 性チアノーゼが出現する。 AWERS (1991) 肺疾患の検査と看護 後口腔 口腔内を十分に洗浄 してから行う。 喀痰細胞診検査は,肺がんなどの検出に有用である。 スパイロメーター(スパイロメトリー)による量(VC)は、年齢・性別・身 長から求めた予測値との比で評価する。 スパイロメトリーによる%肺活量が80%未満の場合に 判断される。 性換気障害があると 人 秒率が70%未満であれば (換気障があると判断される。 Kanonbaku Kango Geluss de

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