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

高校生の英文解釈について質問です。 【Perhaps it is only in childhood that books have any deep influence on our lives.】 の文構造をとった時【only in childhood】はC(補語... Read More

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

lastに続くという意味はありますか？

A スクリプト W: How was the concert yesterday? M: Well, I enjoyed the performance a lot, but the concert only lasted an hour. W: Oh, that's kind of short. How much did you pay? M: About 10,000 yen. W: Wow, that's a lot! Do you think it was worth that much? M: No, not really. 女:昨日のコンサートどうだった? 男:えーと,僕は演奏はとても楽しんだけど コン サートはたった1時間しか続かなかった。 女:へえー,それは少し短いわね。 いくら払った の? 男:約10,000円。 女: わー, そんなにたくさん! あなたはそれだけ の価値があったと思う? 男: ないよ, それほど価値はなかったね。 質問 男性はコンサートについてどう考えていますか? 選択肢 ①それはもっと長く続くべきだった。 ②それは彼が予想した長さだった。 ③演奏はどちらかというと下手だった。 ④ 価格はより高くても良かった。 フグ 解説 正答率が21%で このテストでは一番難しい問題である。 ④ を選択した者が35% と一番多く、次 が③の28%である。 ①は3番目で,④が15%であった。 ダイアログ最後の not reallyの意味をとるのが 難しかったようである。 男性が, コンサートは1時間しか続かなかった, と発言していることに加えて 価格ほどの価値はなかったと言っているので,もっとコンサートが長ければ男性は満足したと考えるこ とができる。 そうすれば①が正解だと分かる。

この問題の答えが8.01kNになる解法を教えていただきたいです。

108 Chapter 3: Fluid Statics 3.54 The steel pipe and steel chamber shown in the figure together weigh 2670 N. What force will have to be exerted on the chamber by all the bolts to hold it in place? The dimensionl is equal to 0.75 m. Note: There is no bottom on the chamber-only a flange bolted to the floor. ←d = 1/4€ Steel pipe Liquid (SG 1.2) 4t Steel chamber D=l→ A Problem 3.54

<p><strong>Online Nursing Class Course Design Principles</strong></p> <p>In the rapidly evolving landscape of education, online nursing ... Read More

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

分からないので教えて欲しいです🙇‍♀️

Entrance Exam 否定表現 1. almost 2. I( 1()に入れる最も適切な語句を1~4から選びなさい。 1. I don't think David would make a good leader because he can ( difficult circumstances and tends to give up too quickly. 2. extremely 3. hardly ) go to karaoke, I go only once or twice a year. ) be expected to act honorably in 4. neither (明治大) (芝浦工業大 4. never 1. often 3. Unfortunately, ( seldom ) of the 1. a few 2. few 3. ever passengers escaped injury. 3. many (大阪学院大 推) 4. much 4. ( ) children are born with musical talent. (日本大) 1. none of 2. not all. 3. not every 4. no one 5. ( 2. No 1. as far as 2. far from ) of the workers accepted the director's proposal to cut bonuses. 1. Not 6. The future of English society looked ( 7. I didn't like the food at that restaurant. It was (. (東海大 3. Never ) promising in the 1840s. None (立命館大) 3. for far 4. too far ) delicious. (福岡大) 1. anything but 2. nothing but 3. without 4. out of 8. He was so drunk that he could ( ) walk. (大阪学院大) 9. 1. all 1. able 2. unable This train doesn't stop at ( a few 3. hard 4. hardly ) station. 大阪商業大推) 2. 3. little 4. every 2. few 12. " Can 10. The latest model of this mobile phone is ( 1. not seldom 3. all not 11. Before I watched the documentary, I knew ( 1. little à you come to the party tonight?" "( 1. Yes, I can ) easy to use. (獨協大) 2. not necessarily 4. ever not 3. seldom ) about life under the sea. 4. hardly (東京工科大) ). I have a lot of homework." (拓殖大) 2. Yes, I do 3. No, I'm afraid not 13. Japan has ( 1. a little 2. few 4. No, I hope not ) oil and therefore is almost entirely dependent on imports. (センター) 3. little 4. small

seeの用法がわかりません なぜ能動態のhas seenが使われている のでしょうか？ 鉱業部門は、この一年で生産高は 少し増加しただけだ

092 The mining sector has seen only a modest increase in output over the past year. 名 鉱業、採鉱UR mining 0 0

合っているか教えて欲しいです

Question ( )に入る適切な語を選びましょう。 at (9) The (part/weight /ratio) of salt to the soup is 1 to 100. (10) (A number / The number) of online shopping has been increasing. (11) The (number/ amount) of housework decreased compared to the past. Try it out 1 (→p.53) 1. We can get a great (number /deal) of news on the internet. 2. There were only a (fewy little) people who wanted to work with robots. 3. Almost ((members / all members) on our team agree to introduce the new machines. 4. Robots can do a lot of (work/works) that humans cannot do.