かっこの中の並び順を教えて欲しいです🙏

Each of us carries just over 20,000 genes that encode everything from the keratin in our hair down to the muscle fibers in our toes. It's no great (own / came / where / from / our mystery genes): our parents bequeathed them to us. And our parents, in turn, got their genes from their parents. But where along that genealogical line did each of

似た意味になるようにかっこに単語を入れる問題です。 何が入るかわかる方お願いします🙏

He is less diligent than I. He is ( ) ( ) diligent as I.

並べ替え問題 並び順を教えていただきたいです

Is there anything that contains hydrogen that is not a fuel? Yes, there is water, the weight of which is one-eighth hydrogen. (1) that (2) out of water 10 (3) energy (4) takes (5) is (6) the only trouble (7) ripping the hydrogen. Plants do it by means of photosynthesis, which makes use of sunlight as a source of energy. Scientists are searching avidly for some way of

これは2枚目の説明をもとに、 二つの文で表したら this is a scene of daily life.とthe government see a scene of daily life as the future of Japan's "super smart so... 続きを読む

This is a scene of daily life that the government sees as the future of Japan's “super smart society," where all individuals can bedeildates-lov receive the services they need regardless of age, gender, region or language. AJIG 1 ± riellades ht 4 (鳥取大学)

英検のライティング書きました！ 添削はチャッピーにお願いしようかなと思うのですが、チャッピーに採点してもらった際に推定スコアが自分が思うより高すぎたので750点中何点くらいの英作文なのかを教えていただきたいです！ TOPIC: Will artificial intelli... 続きを読む

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

中3英語です。 ピンクの部分を含めた1文は「一緒に見ませんか」というような意味だと思うのですが、ピンクの部分単体はどういう意味ですか？？

Part 2 防災について気になったエディは、理子にたずねます。 ? Does Eddy know what he should put in an emergency kit? Eddy: Riko, tell me what your family has done to prepare for a disaster. Riko: We've made an emergency kit. Eddy: That's great. Actually, my family hasn't made It's hard for us to understand the one yet. Japanese information about disasters.org tzol Riko: I can send you a link. It shows you what you should prepare in English. nepROS, rbM Eddy: Oh, thanks! herkom Riho: You're welcome. By the way, my dad 10 recommended a movie about an earthquake. Why don't we watch it together? Eddy: Sure. annabed dooyed [75 words] Jolve wted2 Abro [ 5

CODの計算なのですが解答は6.0なのですが何度試しても0.6と出てしまいます...計算のどこが間違っているのか指摘して頂きたいです。よろしくお願いいたします。

理論- 7 る。 次の文章を読み, 下記の問1~ 問5に答えよ。原子量はH=1.0,C=12.0, 0=16.0 とす ある。 この有機物の量は, 化学的酸素要求量 (Chemical Oxygen Demand: COD) を指標として 河川、湖沼,海域などの水質の汚濁源の一つに, 工業排水や家庭雑排水に含まれる有機物が 解された時に消費した酸化剤の量を,それに相当する酸素の質量〔mg]に換算したものである。 表すことが多い。 COD [mg/L] は,試料水 1L 中に含まれる有機物が,酸化剤によって酸化分 この幅が大きいほど害な物質が多いことをます。あるから飲料水を採取し、以下の場 より COD を求めた。 操作1: 試料水 100mLを三角フラスコに取り、硝酸銀水溶液を撹拌しながら加え,沈殿を生 じさせた。この操作1 を行わなかった場合の試料水の COD の測定値は,行った場合 の測定値に比べて と予想される。 化される量の有機物と同じ量の有機物を酸素によって酸化したとすると、酸素は何mg必 問3 下線部について, 5.00×10mol/Lの過マンガン酸カリウム水溶液1mLによって酸 要か。 有効数字3桁で求めよ。 問4 この試料水の COD [mg/L] を, 有効数字3桁で求めよ。 18.0 mg/L 7 12-24 0 to COD(mg/L). 32. ALL グルコースは完全に分解して, CO2とH2Oになるものとする。 操作2 操作を行った後, 6mol/Lの硫酸10mLと5.00×10mol/Lの過マンガン酸カリ (0) THA (S) ウム水溶液 10 mL を加えて振り混ぜ、沸騰水浴中で30分間加熱した。加熱後の溶液 (E) は薄い赤紫色を呈した。 操作3:この三角フラスコを水浴から取り出し, ここに 1.25×10mol/Lのシュウ酸ナトリ ウム水溶液10mLを加えて振り混ぜた。 このとき溶液は無色となった。 操作 4:溶液が温かいうちに、ビュレットを用いて, 5.00 ×10mol/Lの過マンガン酸カリウ ム水溶液で滴定したところ, 3.56mLを要した。 い 操作5:以上とは別に空試験 (ブランクテスト)として蒸留水 100mLを用いて, 操作1から4 を同様に行ったところ, 滴定に要した過マンガン酸カリウム水溶液は, 0.56mLで あった。 問1 文中の アに入る語句を,「大きくなる」, 「小さくなる」, 「変化しない」 の中から選 んで記せ。 問2 操作5では,試料水のかわりに蒸留水を用いたにもかかわらず, 0.56mLの過マンガン 酸カリウム水溶液を要した。 その理由として考えられることを述べよ。

このwhich の用法とby以下の訳し方を教えてください

like intelligence, skill, and creativity. Research has found (that people (from various cultures shape impressions of other people based on these two factors insuggesting that they are universal characteristics by which we judge other people.100% gning of que la vibasid sinusque ensom Indi id , ing そして

答えあっていますでしょうか🥲🥲

20. This is a very large theater. It has a seating ( Dcapacity 2 ability ) of 3,200. 3 possibility 21. "Can you tell me where Niiza Station is?" "I'm sorry but I'm a ( 1 local ) here." 2 beginner (3) 初めての人 probability in ③ stranger 4 regular <跡見学園女子大〉 Aを自由に操る ant 4 way 〈札幌大〉 22. Educated in the U.S., Kozue has a good () of English. have a good command of A ① tongue 23. I have no ( 1 knowledge ②command 2 command o 3 use ) what he wants for his birthday. have no idea ②idea 3 consideration ④eagerness brfis m'l (B) 24. When you have time, please drop me a ( Daine 2 ring ) at kyorin@kyorin.ac.jp. drop A a line に一筆書き林大 3 phone 4 call 25. Let's go to the movies tonight. I'll look at some websites and ( see what's playing. ⑰give 2 offer Do 3 sell ) you a ring after I & give Aaring Aに電話を 4 buy かける 〈中央大 > 2 次の英文の下線部には誤っている箇所が1箇所ある。 その番号を選び, 正しい形に直しなさい。 一不可 26. Passengers should check their luggages with the airline agent at the ticket counter. luggage 〈国士舘大〉 27. I found that I had completed only about two third of the work I should have done so far. 19 〈西南学院大〉 ④ 1 thirds 3+ ZUKI ③ ③ 次の日本文の意味になるように,( )内の語を並べかえて適切な英文を作りなさい。 pany 28. 警察が提示した証拠をもって、彼の有罪は疑いの余地がなくなったようだ。 With the evidence presented by the police, there (no / doubt /for/room / about / seemed / be/his/to) guilt. w seimong alam seemed to be no room for doubt about his nomin 29. ここへ来るのに1時間半かかりました。 It (here / come / and /to/a/ one / took / hours / half ). G 〈関西外国語大〉 aib (1) yag of wend l'o took one and a half hours to come here