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TOEIC・English Undergraduate

テストの過去問に解答がなく、答えがわからないので英語得意な方教えていただきたいです🤲明日がテストなので早めに解答をいただけるとありがたいです🙇‍♀️

Ⅱ 次の英文を読み, 問に答えよ。 2.2.2. Consumer test それぞれ異なる容量の1つのキューブ (10) Consumers were recruited among workers from the Instituto de Agroquímica y Tecnología de Alimen- tos, Valencia, Spain. Thirty persons, 22-60 years old, approximately half female, half male, who consumed apples frequently, were used for the study. Consumers received one cube from each different storage time fol-following lowing a balanced complete block experimental design. For each sample they had to score global acceptability of the product using a nine-box) scale labeled on the left with “dislike very much', in the middle with indiffer- ent" and on the right with "like very much". They also answered the question “Would you normally consume this product?" with a yes or a no (Hough et al., 2003; Gámbaro et al., 2004a,b). ロロロ B 問1. 本文中に記載されている試験方法は, 何を何するかどうかを問うものである。 "( A ) ( )する場合の試験” と答える場合に, (A) と(B)に当てはまる単語を英語で答えよ。 問2. 何人のパネルに試験しているのかを答えよ。 問3.ここで示されている食品の官能評価法をもっとパネルが評価しやすく回答しやす いようにするには, どうしたらよいか答えよ。 問4. パネルの男女比はどの程度であると述べているか答えよ。 5. この英文に書かれている内容に沿った官能評価シートを作成せよ。 以上

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TOEIC・English Undergraduate

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

Unresolved Answers: 1
TOEIC・English Undergraduate

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

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IT Undergraduate

vsコードを使ってJava言語の勉強をしてたんですけど初心者すぎて何が原因で上手くコードの実行ができてないのかわかりません… 勉強の資料として使ってるのは京都大学のJavaによるプログラミング入門 です。

17:43 7月27日 (木) 1.7 使用するサンプルプログラム (TankCalculator.java) 1: public class Tank Calculator { 2: public static void main (String args[]){ final double FLOW_RATE = 1.0; final double TANK_AREA = 20.0; final double INITIAL_LEVEL = 10.0; double time; //s double tankLevel; //m ... ocw.kyoto-u.ac.jp 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13: time = 30; 14: tankLevel = INITIAL_LEVEL + FLOW_RATE*time/TANK_AREA; 15: System.out.println("Tank Level at time "+ time + "s = " + tankLevel + "m"); 16: 17: 18: 19: } 20:} 11 System.out.println("Flow Rate = + FLOW_RATE + "m** 3/s"); System.out.println("Tank Area=" + TANK_AREA + "m**2"); System.out.println("Initial Level = " + INITIAL_LEVEL + "m"); time = 60; tankLevel = INITIAL_LEVEL + FLOW_RATE*time/TANK_AREA; System.out.println("Tank Level at time "+ time + "s=" + tankLevel + "m"); 【補足】 // の後ろは,プログラムを後で読解しやすくするための注釈です. Flow Rate = 1.0m**3/s Tank Area = 20.0mm**2 Initial Level = 10.0m 8 Tank Level time 30.0s = 11.5m Tank Level at time 60.0s = 13.0m 1.7.1 サンプルプログラムの入力と実行 先ほどと同じように, 秀丸エディタを開き, 20行のプログラムを書き込んで, Tank Calculator.java と名付け, 保存して, コンパイル, 実行してください. 成功すれば,以下の実行結果が示されます。(失敗してもめげないで, 2.5.1 節を参 考に、原因を考え,再トライしてください) ちなみに, 実行結果をファイルに書き出すにはコマンドプロンプトの「リダイレク ト」 という機能を使います 11. java TankCalculator > result.txt これにより result.txt というファイルが出来ているはずです。 中身は数値や文字列 だけのテキストファイルですのでエディタなどで内容を確認できます。 @91% 11javaプログラムの中で明示的にフ ァイルに出力することもできるので すがここでは安直な方法を取ります

Unresolved Answers: 1
TOEIC・English Undergraduate

これの和訳して貰えませんか?

5 Reading Passage 10 15 20 Yuna Kim is one of the world's best figure skaters. At the 2010 Winter Olympics in Vancouver, she set three world records. In fact, one of those world records broke a record she set in 2009. program and a At the Olympics, both male and female skaters perform a short seven program. In the short program, skaters have less than three minutes to perform required jumps, spins, or other moves. While doing these seven things, the skaters also have to show judges how well they can put these elements together into a kind of dance performance on the ice. The long program is similar to the short program except that skaters perform for a longer time and have more required moves. long Before the 2010 Winter Olympics began, many people thought Yuna Kim was likely to win a gold medal. Certainly, there were other women skaters who had the skill to win gold at the Olympics. However, Ms. Kim had an advantage. She had already set a number of world records. In 2007, she set the record for the highest score in a short program with 71.95 points in Japan. The same year she also set the world record for the highest score in a long program with 133.7 points in Russia. Then, in 2009 she beat her own record in the short program by scoring 76.12 in the United States. At that competition, she also became the first woman to score over 200 points with her short and long programs - her combined score was 207.71. The next year at the Winter Olympics in Vancouver, she broke her records again. In the short program, Ms. Kim scored 78.5, a new world record. In the long program, she scored 150.06, another world record. This gave her a combined total of 228.56 points, a third world record! Needless to say, her score was enough to win gold.

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