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

段落ごとにどんな内容が書かれているかA〜Eから選ぶ問題です！合ってるか見て欲しいです🙏 中３英語です

コイズ 橋 香同 ik] くの ke 震災 [人名] ge 1 About 20,000 people lost their lives in the Great East Japan Earthquake on March 11, 2011. Several foreigners were also killed in the disaster. There. is a movie called Live Your Dream: The Taylor Anderson Story. The woman smiling in a kimono di dolewow 'nob ydW in the picture is Taylor. 2 Taylor started to learn Japanese as a small girl in America and became attracted to Japan. She wanted to become a bridge between Japan and America. In 2008, she came to Ishinomaki to work as an ALT. She was an energetic and kind teacher and encouraged her students all the time. Many students became interested in English and foreign cultures thanks to her bright personality. Taylor loved her students and all her new experiences in Japan. Taylor was at 10 4 After apartmen way. She family wa Shor and their Reading started because and to bring p kept o English today, many 15 6 E in Jap prepa neces ordine 3 Then, the earthquake hit. school with her students. Taylor comforted the " students and took them to a nearby safe place.

並び替えの問題なのですが、答えは合っていますでしょうか、？

Reorder the words to complete the conversation. A: I want to buy a new watch. Where do you recommend ?{recommend / you / do} B: How about the shopping mall? A: Nice idea. Which should I go to store B: The would be best place Their watches are really cool. A: Sounds nice! I will give it a try ? {should/1/to/store/go} 最高の場所だろう Time Zone. {be/best/place/would} {a/give/it/try/will}

他の解は計算すると2つ出たんですけど、どうやってひとつに絞るんですか？

76. (1) 2次方程式に x=1 を代入して, 1-(2m+1)i+m²-3=0 1222m-3=0 (m+1)(m-3)=0 したがって, m=-1,3 m=-1 のとき 2次方程式は x2+x-2=0 となる。 (x-1)(x+2)=0 x=1, -2 m=3のとき. 2次方程式は x2-7x+6=0 となる。 したがって, (x-1)(x-6) したがって, x=1.6 よって、 m=-1 のとき,他の解は-2 m=3 のとき,他の解は6

All of this happened under virginal skies, and by any measure we don't have those anymore. そしてどのような基準に照らしても、私たちはそういった空をもはや有してはいないのである。 an... 続きを読む

(2)番でwhereの場所がthe day ではなくcomeの後ろに来るのは何故ですか？ 優しい方教えてください🙏よろしくお願いします🥲︎

2 [関係副詞の種類と用法] 次の2文を関係副詞 when, where, why を用いて1文にしなさい。 (1) My grandfather clearly remembers the day. An atomic bomb was dropped over the Japanese city of Hiroshima then. SH the day when the Atomic wall (2) The day may come. My dream will come true then. day The The day (2) Thia in the The day may come when my dream will come true with my dream come true may come

1番下の文のif not undertakenは 文法的にはどうなってるんですか？

Perhaps the strongest reason to think the planet could be home to Something is that over the past 20 years, we've learned that many inhabitants of Earth live in environments as peculiar as those on Mars. Here, some organisms exist inside rocks in the chilly wastes of Antarctica, or a mile deep in the ground. Others live in ice sheets, or breed in the strongest acids. If it can happen here, it could possibly happen on Mars, too. Finding life on Mars obviously would be thrilling. It would, in a small way, ease our (@). In addition, it might illuminate that great mystery, the origin of life on Earth. But the possibility of life on Mars also suggests that we should approach the place with caution. If something is living there, then bringing Martian rocks back to Earth could be a mistake if not undertaken very carefully.

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

問3がよくわかりません 解説お願いします🙇‍♀️

足の形 チンフ えるだ ・は, 重合 形が 0 微 るた た。 ント を いた た 台 16.酵素反応と最適 PHI 験1~3で調べたところ、 図1, 2の結果を得た。 いずれの実験も脱リン酸化反応は酵 ファターゼと呼ぶ。 最適 pHが5.6のコムギ酸性フォスファターゼの反応速度を以下の実 素液と基質のpNPP (カーニトロフェニルリン酸) 溶液をすばやく混合して,各pHで正確 25℃,5分間行い, 水酸化ナトリウム溶液を加えて反応を停止し, 生成したpNP (p-ニ トロフェノールの量を反応時間で割って反応速度を求めた。 下の各問いに答えよ。 【実験1】 反応時の濃度が0.2mg/mL あるいは 6.4 さまざまな物質の脱リン酸化反応を触媒する酵素を,フォス mg/mLのpNPP と, 反応時の濃度が0.8mg/mL 酵素原液 (相対酵素濃度1) および 2, 4, 8, 16 倍希釈の酵素液を pH5.6 (最適 pH)で5分間反応さ せた。相対酵素濃度を横軸, 反応速度を縦軸に図1 のグラフを得た。 【実験2】 酵素活性のpH 依存性を検証するため,反 応時の濃度が6.4mg/mLのpNPP と,反応時の濃 度が0.2mg/mLの酵素液を異なるpH (2.0, 3.0, 4.0, 50, 56, 60, 7.0, 8.0) で5分間反応させた。 反応時のpHを横軸, 反応速度を縦軸に図2のグラ フを得た。 -反応速度 (pNP 生成量/単位時間) 【実験3】 酵素液を25℃で1時間, 異なるpH (2.0, 3.0, 4.0, 5.0, 5.6, 6.0, 7.0, 8.0) で前処理した あと, すみやかに pH5.6 に戻して,反応時の濃度が 6.4mg/mLのpNPP と, 反応時の濃度が0.2 mg/mLの前処理を行った酵素液を5分間反応させ た。 前処理のpHを横軸, 反応速度を縦軸に図2の グラフを得た。 6.4mg/mL pNPP 0.2mg/mL pNPP 1/2 1/81/4 1/16 相対酵素濃度 ←反応速度 (pNP 生成量/単位時間) 実験 3 図 1 実験 2 + 第8章 細胞分子 2.0 3.0 4.0 5.0 6.0 7.08.0 pH 図2 問1. 実験1で,反応時のNPP 濃度が6.4mg/mL のとき,調べた酵素濃度範囲においてグラフは原点を通る直線になった。一方,反応時 のかNPP 濃度が0.2mg/mL のときは 酵素濃度が低い一定範囲で原点を通る直線上に あったが,やがてゆるやかな曲線となった。 このように、原点を通る直線上から下側に 外れた理由を「基質」と「酵素」の両方の語を用いて, 30字以内で説明せよ。は買 問2.実験2のように各酵素には最適 pHがある。 ヒトのペプシンを例に、どの器官で働 き,どのような活性をもち,最適 pHがどのあたりの酵素かを40字以内で説明せよ。た だし, 「pH」は1文字とする。 (20. 神戸大改題) 問3.実験2の結果と実験3の結果とを比較し、この酵素の構造と活性の関係について「構 造変化」,「変性」,「可逆的」の語をすべて用いて, 40字以内で説明せよ。ただし,「pH」 は1文字とする。

cardsにsが付いているのは「私たちに」と複数だからですか？

(6) 電車のカードの買い方を私たちに教えていただけますか。 (to buy train cards/show/how/us/could you/?) Could you show us how to buy train cards?