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英語 高校生

どなたか3️⃣と4️⃣教えていただけませんか😭仮定法です😭😭

T246 T247 とがあれば 話し手の判断 T248 T249 T250 T251 T252 過去完了] 仮定法 ] S EXERCISE (26) 1 意味の通る英文になるように,[] の語句を並べかえて全文を書きなさい。 T254 T255 T256 (1) [ change / should / he / his plans / if J, he would tell us.. tury foods of monob off (2) [were/travel/to/ you / if] around the world, where would you go first? MIT installo shit toven i (3) [learn/if / to / my father / this / were / about J, he would be angry at me.wat (4) [ miss/ should/I/ this train / if ], I would be late for school. 次の英文を日本語にしなさい。 (1) Were I your mother, I would say the same thing to you.. (2) But for your advice, we would have lost the final match. that for hib M 18+ on D 「 (3) I went to the station by bike; otherwise I would have missed the train. dband blios 10 baum lelas of notally vud of smil aluil bed I (4) To talk with Nancy, you would realize that she is very friendly. beband shashate wet ①. se that she is 3 各組の英文がほぼ同じ意味になるように,( )に適切な語を入れなさい (1) (a) Were I you, I would apologize to Nick. (b) If ( ( ( mable ), I would apologize to Nick. Tim now. ) ( ho) that train, we would have gotten there in time. ) this river, they couldn't grow rice. (2) (a) Had we caught that train, we would have gotten there in time. Ins (b) If ( ) ( (3) (a) But for this river, they couldn't grow rice. (b) If it ( ) ( ) ( 4 日本語の意味に合うように,( )に適切な語を入れなさい。momari io lo dok (1) もう彼らは決心してもよいころだ。 ) they ( ) up their minds. d inoriw au etieiv ryanoh (2)もっと時間があれば、私たちのチームは準決勝で勝てたのに。 Tol suzunufo It's ( ) more time, our team ( (3) それが本当だったらなあ! If ( ) it ( ) true! 日本語の意味に合うように、英文を作りなさい。 )( )( ) the semifinal match. 00 regras >] stup 91 mam ar to no TRY A: (そろそろ寝る時間ですよ) B: Ican't. This game is too interesting!

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英語 高校生

(6)の模範解答が⭕️なのですが、問題文にはwhen Nightingale was young とあり、文中の黄色マーク🟡で引いた該当する文は、彼女が30歳になった時のことを言っているのから❌ではないのですか?教えてください🙏😭

次の英文を読んで、(1)~00までの文がその内容とあっていれば〇をそうでなければ×を解答 用紙に記入しなさい。 Florence Nightingale Florence Nightingale was born on May 12, 1920, into a wealthy family in England, and received the most luxurious education from an early age, learning not only foreign languages like French, Greek, and Italian, farmers she visited for charity work, she gradually began to think that she wanted to work in a job that but also mathematics, astronomy, psychology, and literature. However, after seeing the lives of poor served people. When she turned 30, she decided to become a nurse and started working at a hospital in London. Nightingale, who eventually became a director of a women's hospital, began to advocate the need for nurses with specialized training. At that time, nurses had a low status and were considered nothing more than servants who cared for the sick. A major turning point occurred in 1854. War began in Crimea*, present-day Ukraine, and Nightingale was sent there with 24 Catholic sisters and 14 nurses. Nightingale's efforts improved the hospital environment during the war. The Nightingale School of Nursing was established with the Nightingale Fund created during the war. Although Henri Dunant, a founding member of the International Committee of the Red Cross, highly praised her work, Nightingale was not involved in the International Committee of the Red Cross. This was because she believed that aid activities based on self-sacrifice by participants would not last long. Her famous quote, "Devotion without sacrifice is true service," expresses this well. It is said that this was due to the idea that "we rely on the spirit of service of our members, but without financial support, we are powerless." Nightingale only served wounded soldiers as a nurse for only two years during the Crimean War*, and became famous for her symbolic image of dedication and for her use of statistics to reform health care. The statistical methods she used at this time were highly praised, and she was considered a pioneer of statistics in England. Nightingale suffered from poor health from a young age, and is said to have spent most of her time in bed after returning from Crimea. Nightingale passed away peacefully at the age of 90 at her home in London on August 13, 1910. advocate* 主張する Crimea* クリミア半島 Crimean War* クリミア戦争 (1) Florence Nightingale was born in a wealthy family and she learned many foreign languages. (2) Nightingale wanted to be a nurse when she was small. P (3) It was when she was 30 years old that Nightingale wanted to be a nurse and started working at a hospital. (4) Nightingale's work in Crimea improved the environment of the hospital there. (5) Nightingale did great work to found the International Committee of the Red Cross. (6) When Nightingale was young, nurses were thought to be like servants. (7) Nightingale's famous words, "Devotion without sacrifice is true service," means self-sacrifice of the participants is always necessary rather than financial support. (8) Nightingale was not blessed with good health since young and spent much of her time in bed. (9) Nightingale is considered a pioneer of statistics in the world as she used statistics to reform health care. (10) Nightingale worked as a nurse all her life.

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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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