意味が通るようにするために取り除くべき一文はどれなのか教えていただきたいです。 わかる方お願いします🙏

(17) Words compete for survival in each language. Some researchers investigated what causes the rise and fall of English words in two ways. One is an experiment where thousands of participants read English- language stories and rewrote them to be read by other participants, who then rewrote them for others. The other is a linguistic analysis of English historical text data that cover the past two centuries. The researchers found that the competition among words is closely associated with how humans use language: words that are acquired earlier in life, more concrete, and more stimulating are more likely to survive. From the previous two experiments, they determined that there are at least over 7,000 languages in the world at this moment, but will these numbers increase or decrease in the future? These findings may contribute toward interpreting the patterns of language change over generations of English language speakers.

コンマの使い方について。 次のような文を考えています。 All living creatures eventually die, but unlike most species, human beings do not simply abandon their dead ... 続きを読む

問4の⑤の計算はどうすれば合うのですか。 教えてください🙇‍♀️ 3枚目が答えです。

次の英文を読んで,下の設問に答えなさい。 Last year, 4.2 million babies died. That is the most recent number reported by UNICEF of deaths before the age of one, worldwide. We often see lonely and emotionally charged numbers like this in the news or in the materials of activist groups or organizations. They produce a reaction. Who can even imagine 4.2 million dead babies? It is so terrible, and even worse when we know that almost all died from easily preventable diseases. And how can anyone argue that 4.2 million is anything other than a huge number? You might think that nobody would even try to argue (that, but you would be wrong. That is exactly why I mentioned this number. Because it is not huge: it is beautifully small. If we even start to think about how tragic each of these deaths is for the parents who had waited for their newborn to smile, and walk, and play, and instead had to bury their baby, then this number could keep us crying for a long time. But who would be helped by these tears? Instead let's think clearly about human suffering. The number 4.2 million is for 2016. The year before, the number was 4.4 million. The year before that, it was 4.5 million. Back in 1950, it was 14.4 million. That's almost 10 million more dead babies per year, compared with today. Suddenly this terrible number starts to look smaller. In fact (2)the number has never been lower. Of course, I am the first person to wish the number was even lower and falling even faster. But to know how to act, and how to prioritize resources, nothing can be more important than doing the cool-headed math and realizing what works and what doesn't. And this is clear: more and more deaths are being prevented. comparing the numbers. (3). We would never realize that without

間違っている下線部を教えていただけるとうれしいです。

[a]. Knowledge is our most important business. The success of almost all our other business depends on it, but its value is not only economic. The pursuit, production, spread, application, and preservation of knowledge are the central activities of a civilization. Knowledge is social memory, a connection to the past; and it is social hope, an investment in the [b]. future. The ability to create knowledge and put use to it is the key [c] characteristic of humans. It is how we [d] reproduce ourselves as social beings and how we change-how we keep our heads in the clouds. [e]. our feet on the ground and

なぜ、s付いているのにisなんですか？

3 (that) the number of cheetahs is decreasing because of human activities.

2つのかっこに共通する単語を答える問題です。わかる方お願いします。

the branch of science dealing with motion: Classical (m_) is a required course for physics majors. the operational details of something: Biologists study the (m_) of the human body.

There are a lot of new things we are doing this year that we think will lead to some huge changes in behavior in the future.この英文なのですが、どこが... 続きを読む

仮定法の問題です。教えてください

1.次の文の( )に入る適当な語句を①〜④から選びなさい。 (1) It is time you ( @go (2) A: I'm hungry. ) to bed. ⑦goes ③went have gone (東京家政 B: As if I ( hadn't fed ) you an hour ago! ②feed (3) ( ) you have a question, call me any time. Had fed haven't fed [大阪産業) Would Should (近畿) were not [秋田県立大) Could (4) The world would be very different if humans ( had not 2 will not ) discovered how to use fire. 3 did not (5) Use machines carefully; ( ), you could damage them. ①moreover instead 2 besides otherwise ) my driver's license. [東京電機大」 that I show [法政大」 (6) The policeman demanded ( for me to show him if I should show him me to show 3 showing him

かっこの中の並び順を教えて欲しいです🙏

The moderate global warming that has already occurred as a result of human emissions has quadrupled the frequency of certain heat extremes since the Industrial Revolution, scientists reported Monday, and they warned that a failure (control / could/to/gases / bring / under / greenhouse) eventually lead to a 62-fold increase in such heat blasts. The planetary warming has had a more moderate effect on intense

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