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TOEIC・English Undergraduate

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・English Undergraduate

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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Nursing Undergraduate

お願いします

成人看護/呼吸器疾患患者の看護 パルスオキシメーターを用いることで、 簡便に測定できる。 (SpO2) を 17 呼吸機能を評価するためには,スパイロメトリーだけでなく も行う必要がある。 B 動脈血ガス分析は,高二酸化炭素血症の有無や の状態を評価するために行われる。 (mmHg) より高い場合を」 動脈血ガス分析でpHが7.35未満で, 動脈血二酸化炭素分圧 (PaCO2) が40Torr という。 動脈血ガス分析でpHが7.45より高く、動脈血二酸化炭素分圧 (PaCO2) が 40Torr (mmHg)未満の場合を 右 2 胸腔穿刺時には、肋間腔を開大させるため患側の という。 を上げてもらう。 気管支鏡検査終了後は、麻酔の影響により誤嚥をきたしやすいため、検査後2時間 は とする。 経気管支肺生検 (TBLB)の後は,合併症として_ 胸部X線撮影を行う。 生起こすおそれがあるので 効 酸素療法と看護 24 酸素療法の適応は、動脈血酸素分圧 (PaO2) が している。 Torr (mmHg) 以下を基準と 酸素療法で初めから高濃度の酸素投与を行うと急激な高二酸化炭素血症(高炭酸ガス 血症) が起こる。 これを一 といい, CO2蓄積による を認める。 261 高二酸化炭素血症の増悪時には、 工呼吸器が使用される。 療法 (NPPV) を用いた人 中毒がある。お 酸素療法の合併症として、高濃度の酸素を投与すると肺胞に浮腫やうっ血などの障 害が起こる 鼻カニューレ法は経口摂取や会話がしやすい反面、鼻腔粘膜が しやすい。 マスク法では、日常生活を送るうえで に障害がある。 人工呼吸療法と看護 非侵襲的陽圧換気療法(NPPV)は, せずにマスクを使用して行う非侵 襲的な人工呼吸である。 Cal 2021 11

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TOEIC・English Undergraduate

テストの過去問に解答がなく、答えがわからないので英語得意な方教えていただきたいです🤲明日がテストなので早めに解答をいただけるとありがたいです🙇‍♀️

Ⅱ 次の英文を読み, 問に答えよ。 2.2.2. Consumer test それぞれ異なる容量の1つのキューブ (10) Consumers were recruited among workers from the Instituto de Agroquímica y Tecnología de Alimen- tos, Valencia, Spain. Thirty persons, 22-60 years old, approximately half female, half male, who consumed apples frequently, were used for the study. Consumers received one cube from each different storage time fol-following lowing a balanced complete block experimental design. For each sample they had to score global acceptability of the product using a nine-box) scale labeled on the left with “dislike very much', in the middle with indiffer- ent" and on the right with "like very much". They also answered the question “Would you normally consume this product?" with a yes or a no (Hough et al., 2003; Gámbaro et al., 2004a,b). ロロロ B 問1. 本文中に記載されている試験方法は, 何を何するかどうかを問うものである。 "( A ) ( )する場合の試験” と答える場合に, (A) と(B)に当てはまる単語を英語で答えよ。 問2. 何人のパネルに試験しているのかを答えよ。 問3.ここで示されている食品の官能評価法をもっとパネルが評価しやすく回答しやす いようにするには, どうしたらよいか答えよ。 問4. パネルの男女比はどの程度であると述べているか答えよ。 5. この英文に書かれている内容に沿った官能評価シートを作成せよ。 以上

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Chemistry Undergraduate

高分子の組成比率を求める問題なのですが、講義のスライドに載せられていた求め方が一貫性が無さすぎてどう解けばいいか分かりません。 3つのうちの1番上のもののAの比率の出し方、3つのうちの1番下のもののAの比率の出し方を解説していただきたいです。 2つ目が課題なのですが、これも... Read More

5・2 ビニルポリマーの立体規則性の表示法 α 置換基 B-CH₂ n-ad () ベルヌーイ 確 ad (偶数) * ベルヌーイ 確 * triad isotactic, mm (I) heterotactic, mr (H) syndiotactic,rr (S) ++ (1-P)² 2P (1-P) dyad meso, (f) racemo,(s) tetrad立体規則性により周囲の環境が異なる P (1-P) pentad mmmm mmm mmmr ||||||||-2P(1-P) mmr H2P(1-P) b rmmr |||||||||-2 P³(1-P)² rmr P(1-P)² mmrm 2P(1-P) mrm P(1-P) b mmrr | 2P(1-P) rrm 2P(1-P) rmrm |||||| 2 P³(1-P) rrr ||||(1-8) rmrr ||||||||- 2P(1-P)³ mrrm rrrm |||||||-2P(1-P) 高分子合成化学 p.103 rrrr ||||||(1-P)* A B ポリ塩化 CI ポリイソブチレン CH Ħ CH3 H CH3 ビニリデン CH₂ C C C C C C I H CI H 01 CH3 H CH3 a b C (A=91 mol %) 164H 36H 54H 200 = 54 x:Aの mol %) 76H 120H ai a 3.8 3.6 63H (A=63 mol %) M 126H 130H a₁AAAA az BAAA(AAAB) 2 6(1-x) モル分率 as BAAB bi AABA(ABAA) ✗= (100-9)/100 = 0.91 bz BABA(ABAB) bs: AABB(BBAA) b: BABB(BBAB) C₁ ABA 左の共重合体の組成比を計 ABB(BBA)算せよ cs: BBB ||233H b領域の積分値の半分はA由来で、 半分はB由来 a: az as bi ba ba b C1 C2 C3 4 2 $ (ppm) 126/2 233 63+126/2 2x 2(1-x-y) 6(1-x)+2y 1.5ppmにピークを持つBのモル分率をy とすると、 b領域のBのモル分率は (1-x-y) 図5-15 塩化ビニリデン (A) - イソブチレン (B) 共重合体ならびに両単独 重合体の1H-NMR スペクトル (60 MHz S.Cl溶液 130°C) 16

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