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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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TOEIC・English Undergraduate

動詞の使い分けがわからないです😭

EXERCISE 20➤Looking at grammar. (Chart 5-6) Choose the correct completions. 1. The United States has have a population of around 325 million. an established and respected newspaper. a branch of mathematics. (2.) The New York Times: C:C/DC Caree 3. Statistics is/are 4. The statistics in that report on oil production :C:MKEKECRETKEY) incorrect.* 5. Fifty minutes is are the maximum length of time for the test. 6. Rabies (is) are an infectious and often fatal disease. The blind wants / want us to treat them the same way we treat everyone else. talking with people 8. French is are somewhat similar to Spanish, isn't it / aren't they? The French is are proud, independent people. 10. Does/Do the police have training in mental health issues? 1. Thirty dollars is an unreasonable price for that T-shirt. 12. Four hours of skiing provides / provide plenty of exercise. EXERCISE 21 ▸ Game. are (Chart 5-6) Work in teams. Choose the correct words (or numbers). Then complete the sentences with is or are. 1. The Scots /The Irish The English and Cambridge. 2. Statistics/Linguistics / Physics 3. Diabetes/Measles / Mumps 4. English / French / Afrikaans 5. People from Canada. called are famous for educational institutions like Oxford the study of the structure and nature of language. a blood-sugar illness. the official language of Namibia. Canadas/Canadians / Canadese. covered by water, but drinkable. 6. Approximately 60% / 70% / 80% of the earth only 1% / 10% / 20% of the earth's water 7. 312 x .5+ 100 227/275/256. 8. The United Arab Emirates/The Netherlands/The Philippines Hemisphere (i.e., north of the equator). in the Northern 9. Fish/Whales / Cattle not mammals. 10. Five hundred thousand + five hundred thousand ten hundred / one million / one billion. 11. Macy's/Harrods / Hudson's Bay a department store that began in London. *Statistics is singular when it refers to a field of study (e.g., Statistics is an interesting field of study.). When it refers to particular numbers, it is used as a count noun: singular one statistic (no final -s); plural = two statistics. For example, This

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A Second Foreign Language Undergraduate

空欄の解答を教えて下さい。

Friend I 定冠詞を入れよう。 Das ist mein Freund. Mein Freund ist Sänger. 1) Das ist das Haus 2) Die Hunde gefallen 訪問する singer 家 Freundes. 3) Ich besuche diesen Sommer 4格とる Freund. Freund. ※ diesen Sommer: 今夏 II 冠詞類の必要な語尾変化を入れ、文を完成させよう。 兄弟 1) A: Haben Sie Geschwister? 単数の場合 中性 B: Nein, ich habe kein Geschwister. Und Sie? 兄弟 Sister サ A: Ich habe ein Bruder und ein Schwester. 写真中性名詞 Das ist ihr Foto. 3格をとる。 自転車 ~のものである 2) A: Gehört dieses Fahrrad dein B: Ja, das Fahrrad mein 修理する格 Vater? 壊れてる Vater_ist kaputt. Mein Vater repariert sein_ help 3) Peter schreibt jeden Tag sein aber er bekommt kein Fahrrad. 3格になる。 4格女性名詞 Freundin ein E-Mail, Ich helfe mein Vater. 書く 毎日 girl friend しかし彼は 得る 「答え Antwort. 性格 携帯電話 もしかするとなくなっている。 Thr Handy ist vielleicht weg. ※ jeden Tag: 毎日 中性格 be 次のカードを使って、 文を完成させよう。 冠詞や名詞の変化語尾を入れ させよう。 中性名詞 1) アンナは彼女の子供達に一冊の辞書をプレゼントします。 プレゼントす ein Wörterbuch schenken Anna ihr Kinder 2) 私達の父の故郷はブレーメンです。 unser Vater 女性名詞 d Heimat Bremen sein

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Economics Undergraduate

国際収支から為替レートが決まることでドルの価格が決まることを示しているこの図表の横軸の取引量とは何の取引量を意味しているのですか??

Chap 2 国際収支と外国着替し 【1】 変動相場制の国際収支調整機能 国際収支黒字とは、資金の流入が流出を 上回ることを意味します。 資金の流入とは 外国から日本に資金が入ってくることです が、外国にある外貨は,外国為替市場で外国 通貨が円に交換されてから日本に入ってきま す。なぜなら、日本国内では外貨のままでは 利用できないからです。 反対に、資金の流出は,日本から外国資 金が流出することですが,日本にある円は, 外国為替市場で円を外国通貨交換して外貨で、 海外に出ていきます。 なぜなら, 外国では円 のままでは利用できないからです。 したがって,国際収支の黒字とは、自国に 資金が流入するほうが多いので、自国通貨買 い外貨売りが多く、自国通貨は超過需要,外 貨は超過供給の状態です。 したがって, 図表 27-5のドルの市場では, 右上がりの供給 曲線と右下がりの需要曲線であればドルの超 過供給となり,ドルは下落(=円が上昇) し 需要と供給が一致。すなわち国際収支が均衡 する(ゼロとなる) 為替レート水準e*に落 ち着きます。 逆に国際収支が赤字の場合はドルの超過 需要であり、ドルの価値が上昇(=円が下落) 需要と供給が一致, すなわち国際収支が する (ゼロとなる) 為替レート水準e*に 落ち着きます。 このように、 為替レートの調 調整により国際収支は均衡に向かいます。 復習 Movie 177 国際収支とは,一国における資金の流入 から流出を差し引いたものです。 Point! ですから、資金の流入とは、自国 通貨買い(=自国通貨の需要), 外貨 売り(=外貨の供給) となります。 PPoint! ですから、資金の流出とは、自国 通貨売り (=自国通貨の供給), 外貨 買い(=外貨の需要)となります。 図表27-5 外国為替市場と国際収支 I 為替レート (1$○○円) ドルの価格- 国際収支黒字 S 外貨超過供給 e1 ドルの 供給曲線 E e2 ドルの 需要曲線 外貨超過需要 国際収支赤字 D 取引量

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