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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

教えてくださいm(_ _)m

C) Usage be used to / get used to の使い方 be used to get used to にはいろいろな使い方があります。 状況を考え、日本文に合うように ( )内に適当な一語を入れなさい。 a) be used to~ hing 「~することに慣れている」 1. 私はイギリス人なので、左側運転には慣れているが、妻はアメリカ人なので、慣れてい I am British, so I ( But as my wife is American, she ( My brother has gotten a new ( ( ) used ( 2. 弟は大学を卒業して就職したが、毎朝今までよりずっと早く起きなくてはならない。 早起きに慣れてないので、大変だ。 before. He finds it ( ) up so early. ) university. He has to get up much ( because he isn't ( ) driving on the left. ) to it. ) not ( My sister is a nurse. She started working ( ( ), she ( ) not ( shift and ( ) since graduating Our new apartment is ( ) ( b) get (become) used to ~ing 「~することに慣れる」 3. 妹は看護婦で、昨年から夜勤を始めました。 最初、慣れてなかったので不安な感じが しましたが、 しばらくすると慣れて来て、 今では全く気になりません。 ) last year. At ) to being on the night ), she ) uneasy. But after a ( ) used to it. Now she doesn't mind it at ( ) to the ( ) than ) to ). 4. 私たちの新しいアパートは高速道路に近いが、そのうち騒音に慣れるだろうと思っている。 ) we will ) the freeway. I ( ). ★ [used to] 過去の習慣で「よくしたものだ」とか、過去の状態で「〜だった」という意味です。 また That castle was used as a prison. 「あの城は刑務所として使われていた」という場合、 use は受身として使用されています。 Chatterbox 日本では履歴書に必ず書かなければならないことも、英文では必要ない場合があります。 例えば、生年月日、配偶者、家族、性別、身長、体重、宗教などを問うことはアメリカで は違反とされています。 また、写真の添付も人種差別になるということで、法律的に禁止 されています。 しかし、イギリスやヨーロッパは日本と類似した履歴書を要求します。 First Day at Work 15

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