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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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TOEIC・英語 大学生・専門学校生・社会人

英語の問題です。 教えて欲しいです🙇‍♀️

(2) I had my teeth 1 check 1( )に入る最も適切な語句を ① ~ ④から選びなさい。 (1) He went on speaking as if she ( 1 can't 2 hasn't ) there. Son 3 wouldn't ) by a dentist this morning. ult niles 3 checking wahiwon (青山学院大 ) ④weren't pomibinand (岩手医科大) 24 to check 2 checked (3) You should not keep any pets ( 1 after 2 unless ) you can take good care of them. 3 when (中央大) ④which 1 as 2 in ) all be correct. ②anytime (6) If the weather ( ①must have been (4) This town will change ( ) another ten years. (5) Those may not ( 1 absolute ) fine yesterday, I would have done the laundry. 2 is (7) Studying takes up a lot of my time during the week, ( ) little time for hobbies. (芝浦工業大) since 3 of (國學院大) 3 everything ④necessarily (関西学院大 ) ③ wasn't 4 had been (皇學館大) ①1 has left (8) Have you heard the rumors ( 1 that 2 what leaves leaving 4 left ) Susan has returned to this town? ③ which (麗澤大) ④ who 1 by (9) What was found in this experiment is ( 2 for (10)( ) what to say, she remained silent. ) great importance to researchers. 3 in (立命館大) 4 of (愛知工業大) 1 Not knowing 2 Being not knowing ③No knowing ④Knowing no (11) I tried to ( 1 have 2 make ) her to tell me what happened last night. 3 get (十文字学園女子大) 4 let How gimon and (12) Do what you like, as ( 1 far 2 much B in 1 in 2 with bnat am ) as you leave me alone. 3 long (13) This tool is dangerous. Please read the instructions ( (14) If I hadn't drunk so much last night, I ( 1 feel (15) I wish you 1 attend (16) If I ( 1 were ) 2 will feel ) the party yesterday. 2 were attending ) much better than I do right now. ③ would feel ③ have attended (中京大) 4 would have felt (目白大) ④had attended ) in your situation, I would be more careful about what you post on social media. (フェリス女学院大) 4 many ) care. (聖隷クリストファー大) at ④take gwol 3 will be (南山大) ④would be

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TOEIC・英語 大学生・専門学校生・社会人

これの和訳して貰えませんか?

5 Reading Passage 10 15 20 Yuna Kim is one of the world's best figure skaters. At the 2010 Winter Olympics in Vancouver, she set three world records. In fact, one of those world records broke a record she set in 2009. program and a At the Olympics, both male and female skaters perform a short seven program. In the short program, skaters have less than three minutes to perform required jumps, spins, or other moves. While doing these seven things, the skaters also have to show judges how well they can put these elements together into a kind of dance performance on the ice. The long program is similar to the short program except that skaters perform for a longer time and have more required moves. long Before the 2010 Winter Olympics began, many people thought Yuna Kim was likely to win a gold medal. Certainly, there were other women skaters who had the skill to win gold at the Olympics. However, Ms. Kim had an advantage. She had already set a number of world records. In 2007, she set the record for the highest score in a short program with 71.95 points in Japan. The same year she also set the world record for the highest score in a long program with 133.7 points in Russia. Then, in 2009 she beat her own record in the short program by scoring 76.12 in the United States. At that competition, she also became the first woman to score over 200 points with her short and long programs - her combined score was 207.71. The next year at the Winter Olympics in Vancouver, she broke her records again. In the short program, Ms. Kim scored 78.5, a new world record. In the long program, she scored 150.06, another world record. This gave her a combined total of 228.56 points, a third world record! Needless to say, her score was enough to win gold.

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TOEIC・英語 大学生・専門学校生・社会人

let’s try の問題の解説部にthose who~who とちう二重限定なのか分裂限定なのかという部分についての質問です。私は二重限定だと思いました。なぜならthoseが両方の主語になっているのではないかと思ったからです。しかし、解答は分裂文ということでした。解説お願... 続きを読む

ed # が省略されることもあります。 It is that ~の典型的なものの識別について説明しておきます。 - It is that ~の識別 < (i) ~ (ii) を識別する>一 (i) it = that~ (that は接続詞) (ii) (iii) 分裂文 節の役割をつかもう 103 that~がーを修飾(that は関係代名詞) It is 形容詞 that ~の場合 . ➡ (i) ◎ It is 副詞(句・節) that~の場合 (iii) 副詞だと it is で SVC が成立しないので、 (i) にはならず,もちろん先行詞にはならない(先行 詞は名詞)ので, (ii) にもならない It is 名詞 that ~の場合 この場合の識別はすこしやっかいですが,まず, that ~の~部分が完全な文の形 (i) (もちろん, It is 副詞 that ~の場合, ~部分は完全な文 となりますが, その場合はもう判別済で、ここでは It is 名詞 that~についての判別を行っているのです) that ~の部分が不完全な文の形 (名詞が入る所がある) 場合 (ii)(iii) どちらの可能性もあり、例えば、け is the apple that he gave me. だと 「それは,彼が僕に くれたリンゴです (ii)」, 「彼が僕にくれたのはそのリン ゴです (iii)」 の両方の解釈が可能で, it を 「それは」 と 訳すか、訳さないかで判定するわけです。 it = 「それは」 (ii) it の前に指示内容なし→(iii)

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