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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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資格 大学生・専門学校生・社会人

【決算整理事項】 (2)受取手形および売掛金の期末残高に対して4%の貸倒引当金を差額補充法により設定する。 これの計算方法は(受取手形➕売掛金)×4%、 出た答えから貸倒引当金の2000円を引くと思います。 実際にやってみると (受取手形 76000➕売掛金11400... 続きを読む

(2)仮払金は全額備品の購入金額であることが判明した。なお、備品は01年10月1日に引き渡しを受 ◆検定対策問題 1. 会計期間を01年4月1日から02年3月31日までとする郡山商事(株)の02年3月末における、次の [決算 日に判明した事項] および [決算整理事項] にもとづいて、精算表を完成しなさい。 [決算日に判明した事項] (1) 得意先から商品の内金¥20,000を現金で受け取っていたが、これを売掛金の回収として処理して いたことが判明した。 勘定科目 「現 金 精 02年3月31日 残高試算表 借方 貸方 整理記入 借方 貸方 損益計算書 貸方 借方 借方 貸借対照表 貸方 56,000 56000 当座預金 受取手形 349,000 349,000 売掛金 けすぐに使用を始めた。 [決算整理事項] 仮払金 76,000 114,000 300,000 76,000 20,000 134,000 300,000 繰越商品 (1)期末商品棚卸高は¥38,000である。 売上原価は「売上原価」 の行で計算すること。 (2)受取手形および売掛金の期末残高に対して4%の貸倒引当金を差額補充法により設定する。 41,000 38,000 41,000 38,000 貸付金 400,000 400,000円 (3)建物および備品について定額法によって減価償却をおこなう。なお、当期中に取得した備品につ いては月割で減価償却費を計上する。 建 物 残存価額 取得原価の10% 耐用年数 30年 備品 残存価額: ゼロ 耐用年数5年 建物 1,800,000 備品 180,000 土 地 1,330,000 支払手形 1,800,000 300,000 ¥480,000 1,330,000 (4) 通信費のうち、切手の未使用高は¥1,000である。 買掛金 71,000 121,000 71,000 121,000 (5) 保険料のうち¥12,000は、01年8月1日に支払った建物に対する1年分の火災保険料である。 よ って未経過分を月割計算によって繰り延べる。 前受金 24,000 20,000 44,000 貸倒引当金 2,000 (6) 貸付金は、01年11月1日に貸付期間1年、 利率年1.2%の条件で貸し付けたもので、利息は返済時 に一括して受け取ることになっている。 なお、 利息の計算は月割による。 建物減価 486,000 償却累計額 備品 償却累計額 6,400 54,000 81400... 540,000 価 108,000 66,000 174,000 資本金 2,000,000 (1)売掛金 20,000前受金 20,000 越利益剰余金 1,400,000 2,000,000 1.400,000 (2)備 50 300,000/仮払金 300,000 (1)イユ 41,000/繰越商品 41,000 繰越商品38,000/仕入 38,000 売 上 1,286,000 1286,000 入 650,000 仕 給 料 168,000 41,000 38,000 653,000 168,000 通信費 12,000 1,000 11,000 消耗品費 保険料 6,000 6,000 16,000 4,000 12,000 5,498,000 5,498,000 (2)貸倒る金 入 6.400 引当金 6,400 (3)減価償却費 建物価却果計設 54000 売上原価 貸倒引当金繰入 6,400 6,400 120,000 備品 減価償却費 120,000 120,000 66,000 貯蔵品 1,000 11,000 (4)貯蔵品1,000(通信費1,000 一(前払) 保険料 4,000 4,000 124 chapter 5 決算(2) 精算表 (5)前払保険料 4.00/険料9,00 (6)受取利息 (未収) 利息 2,000 2,000 受取利息 2,000 2,000 2,000 2,000 当期純利益) 311,600 532,400 532,400 976,400 1,288,000 4,670,000 4358,400 精算表の作成 125 9764,00 1288,000 4358,400 311,600 4670,000

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TOEIC・英語 大学生・専門学校生・社会人

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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