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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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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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TOEIC・英語 大学生・専門学校生・社会人

下線部(1)の文構造が分かりません。特に2行目の文構造が分かりません。強調のdoであることは分かりますが、その後のthat以降が関係詞?かすらも分からないので、誰か教えて下さい!

次の英文は1991年に出版された本からのもので、 研究分野としての「人工知 能」 (Artificial Intelligence) について述べています。 下線部(1)~(3)を日本語に訳 しなさい。 What is Artificial Intelligence (AI)? Just about the only characterization of Al that would meet with universal acceptance is that it involves trying to make machines do tasks which are normally seen as requiring intelligence. There are countless refinements of this characterization: what sort of machines we want to consider; how we decide what tasks require intelligence and so on. One of the most important questions concerns the reasons why we want to make machines do such tasks. AI has always been split between people who want to make machines do tasks that require intelligence because they want more useful machines, and people who want to do it because they see it as a way of exploring how humans do such tasks. We will call the two approaches the engineering approach and the cognitive-science respectively. (2) (1) approach The techniques required for the two approaches are not always very different. For many of the tasks that engineering AI wants solutions to, the only systems we know about that can perform them are humans), so that, at least initially, the obvious way to design solutions is to try to mimic what we know about humans. For many of the tasks that cognitive-science Al wants solutions to, the evidence on how humans do them is too hard to interpret to enable us to construct computational models, so the only approach is to try to design solutions from scratch" and then see how well they fit what we know about humans. The main visible difference between the two approaches is in (3) their criteria for success; an engineer would be delighted to have create something that outperformed a person; a cognitive scientist would regard it as a failure. -1- M7 (492-61

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数学 大学生・専門学校生・社会人

数Iの2次方程式についての質問です。 マーカーで引いてある数字はどこから出てきたのでしょうか? 分かる方いたら教えて欲しいです🙇‍♀️!

右の図のように, BC=20cm, AB=AC, ∠A=90° の三角形ABC がある。 辺AB, AC 上に AD AE となるように2点D,Eをとり,D,Eから辺BCに 垂線を引き、その交点をそれぞれF,G とする。 長方形 DFGE の面積が20cm² となるとき,辺FG の長さを求めよ。 F CHART & SOLUTION 文章題の解法 基本 66 ① 等しい関係の式で表しやすいように, 変数を選ぶ ②解が問題の条件に適するかどうかを吟味 FG=x として, 長方形 DFGE の面積をxで表す。 そして、 面積の式を =20 とおいた の2次方程式を解く。 最後に, 求めたxの値が,xのとりうる値の条件を満たすかどうか 忘れずに確認する。 答 FG=x とすると, 0<FG<BC であるから A 0<x<20 ① D また, DF=BF=CG であるから 2DF=BC-FG B 20-x よって DF= 2 長方形 DFGE の面積は DF・FG=20-x.x 2 20-x ゆ x=20 2 整理すると これを解いて x2-20x+40=0 x=-(-10)±√(-10)2-1.40 =10±2√15 ここで, 02/15 <8 から 10-8<10-2/15 <20, 2<10+2/15<10+8 よって、この解はいずれも ①を満たす。 したがって FG=10±2√15 (cm) E 定義域 ←∠B=∠C=45° であるか 5, ABDF, ACEG G C 角二等辺三角形。 xの係数が偶数 → 26′型 3章 9 2次方程式 解の吟味。 0<2√15=√60<√64= =8 単位をつけ忘れないよう に。

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