不適切なものを選ぶ問題です 解答の根拠を教えていただきたいです。 答えは上から順に、1.3.3.1.3.2.2.1.4.4.です。

(1) Judge from the circumstances of the case, the robber must have visited the jewelry shop 1 in advance. 4 11 3 (2) Dreams mostly happen during the state of asleep characterized by rapid eye movement, or REM. 12 2 3 (3) The database contains hundreds of thousands of article, but that does not make it science. 4 T 13 2 3 (4) I fond of my boyfriend, but he often turns up late for a date. Other than that, I have nothing 1 to complain about. 14 2 3 (5) Climate, soil type, and availability of water are the most critical factors than choosing the best type of grass for a lawn. 1 15 2 3 (6) Mary Quant is one of the most popular British designer of the 1960s, whose daisy motif T 2 16 has attracted the attention of younger generations in Japan. 3 (7) After so long a basketball game, I am such exhausted to write my essay, which is due on Monday. 17 2 (8) The music professor strongly advised that Emily goes to the Royal Albert Hall during her stay in London, where a globally known summer concert series is held. 18 1 2 3 (9) In the tea industry, tea leaves are graded in quality according to size, color, and appear. 19 2 3 (10) Some fish use their sense of smell as a guide when return to a spawning river. 1 2 3 20

A1からA3に入る答えの書き方を教えてください🙇⋱

7-3 Q1. What does the Shaka Triad statue belong to? (釈迦三尊像の銅像は何のものですか?) A1. (クローン化されたもの) Q2. How did Miyasako's team complement, information about the Shaka Triad statue? (宮迫チームは、釈迦三尊像に関する情報をどのように A2 補完したのだろうが (保存されているデータ学術的な見識を使って保に関する Q3. What did the statue look like when it 情報を確定した was first created? (像が作られた当初は、どのような姿きしていたのですか? A3. (おそらく金色に輝いていた) BE

データベース3300のP50〜63の写真が欲しいです。 課題で必要なためよろしくお願いします🙇

Data Base 3300 DataBase 3300 基本英単語・熟語 桐原書店編集部 [編] 桐原書店

下線部(A)の内容を60字以内で説明しなさいと言う設問なのですが、大まかな意味はこれで合ってるでしょうか？💦

解答欄にマークしなさい。 問 2, 間 3, 4, 問5の解答は, 解答用紙 守谷市祗1枚目 (マークシー 2枚目 (記述式) に記入しなさい。 Technology is rapidly and fundamentally changing the way most people do their jobs, disrupting (1) the nature of work and increasing the demand for new kinds of digital skills. The impact can be felt in all kinds of jobs. Gone are the days of copywriters (2) simply writing copy, for instance. Now they also need to be familiar with search engines and social media to know what will make their work more visible online. Architects need to be able to create digital concepts as their clients now often expect to see more than a 2D drawing. Accountants have to keep up with rapid digital advances disrupting their industry such as the growth of online filing. (3) Byron Nicolaides, CEO of PeopleCert, a professional skills assessment and certification business, says: "The digital skill gap describes the effect that has resulted from a shift. towards digitalisation, with the emergence of new professions, alongside the displacement of other roles, that now require continued digital training." Demand for people with high-level digital skills is greater than the supply of suitably qualified employees, and the gap is growing. The World Economic Forum estimates that by 2022 emerging technologies will generate 133 million new jobs in place of the 75 million that will be displaced. "If the demand for digital expertise is not able to be met by the supply, the resulting deficit in a skilled workplace will not only affect the ability of businesses to shape their own future, but will hinder the economic growth and generate a new reality of [digital] illiteracy (E4)," argues Nicolaides. The UK is the fifth most digitally advanced nation in Europe (Finland comes top) according to data from the European Union. It is already home to a large number of big tech businesses and the UK has more tech "unicorns" (start-up businesses valued at $1 billion or more) than any other European country. According to Tech Nation, a UK network focused on accelerating the growth of digital businesses across the country, in 2018 the UK continued to attract tech talent, employing 5 per cent of all high-growth tech workers globally. In Europe this places the UK behind Germany but ahead of Sweden, France, Denmark and the Netherlands. Despite (A) this encouraging news, the UK is still facing a significant digital skills shortage. A report from the Open University last year highlights the extent of the problem and its impact on UK companies, with nine in 10 organisations admitting to having a shortage of digital skills. Jules Pipe, London's deputy mayor (5) for planning, regeneration and skills, says the capital needs workers with advanced digital skills. "More than half of the capital's start-ups say a lack of highly skilled workers is their main challenge, while emerging industries -

申し訳ないのですが、このページの問題が分かりません。全て教えてくれるとありがたいです🥲

つけまし EXERCISES 関係代名詞 )内の語句に、関係代名詞を加えて並べかえ, 全文を書きなさい。 (1) Do you know (standing / is / the girl) by the door? (2) (contains/the hard disk) my data suddenly crashed. (3) Ihave (goes / a sister) to elementary school. (4) We live in (built / was / a house) 50 years ago. ②2 日本語に合うように,( )に適語を入れなさい。 (1) 私たちが発明した製品は画期的だ。 The product ( ) invented is groundbreaking. (2) 彼は私が長い間知っている少年だ。 He is a boy ( :) ( ) ( ) ( (3) その先生はしばしば私が答えられない質問をしてくる｡ The teacher often asks me questions ( :) ( FJA (4) 私のおじが買った車はハイブリッドです。 The car ( )()( ) is a hybrid. ) for a long time. ) ( 3 与えられた状況に合うように( )内の語句を並べかえ, 全文を書きなさい。 (1) 状況 すてきな時計をしているね,と友人に言われて･･・。 This is (bought / my / me / the watch / father) two years ago. (2) 状況 久しぶりのクラス会。 だれだか思い出せなくて･･･｡ What is the name (the man/ in / who / of / just came)? (3) 状況 スペイン語の学習が進んできて、難しいことにも挑戦したくなりました。 I want to read (in / that / anovel/Spanish/ written/ is ). (4) 状況 衣替えで夏服を着ようと思いましたが,どこにしまってあるのかわかりません。 Where are (that / wore / the summer clothes / last year/I) ? (1) 私には~が得意な友だちがいる。 [who/good] I (2) 私が昨日会った人は･・･だった。 [who / meet ] B A B 4 [ ]内の語を参考にして,~, ….に自由に語句を入れ, オリジナルの英文をつくりなさい。 B

この問題教えてください🙏何故そうなるのかも教えてくださると助かります！！

The area known as the Outer Banks has a distinctive line of lighthouses ( coastline. 2 to illuminate illuminates (3) illuminated sou pluco in hirta edT ) its dangerous 4 having illuminated [ 4 ] ( ) the rainforests of West and Central Africa, the African golden cat is threatened by deforestation and hunters. Inhabit 2 Inhabited 3 Inhabiting 4 To inhabit [ 5 ] Deserts, ( ) already occupy approximately a fourth of the Earth's land surface, have been increasing at an alarming pace in recent decades. DessalT 1 which 2 what where 4 that [6] The growing concerns over global warming along with depleting oil and gas reserves have made ( ) necessary to seek energy from renewable resources. it Datashua 2 that them 4 those (

文法が分からないので、解説も含めて解答を教えてください！

The area known as the Outer Banks has a distinctive line of lighthouses ( coastline. 2 to illuminate illuminates (3) illuminated sou pluco in hirta edT ) its dangerous 4 having illuminated [ 4 ] ( ) the rainforests of West and Central Africa, the African golden cat is threatened by deforestation and hunters. Inhabit 2 Inhabited 3 Inhabiting 4 To inhabit [ 5 ] Deserts, ( ) already occupy approximately a fourth of the Earth's land surface, have been increasing at an alarming pace in recent decades. DessalT 1 which 2 what where 4 that [6] The growing concerns over global warming along with depleting oil and gas reserves have made ( ) necessary to seek energy from renewable resources. it Datashua 2 that them 4 those (

英文がわからないです心の優しい方、英文の解き方を教えて欲しいです🙇‍♀️

35 15 20 signatures in business. However, no one used fingerprints in crime work until the late In ancient times, people used fingerprints to identify people. They also used them as 1880s. Three men, working in three different areas of the world, made this possible. (1) The first man who collected a large number of fingerprints was William Herschel. He worked for the British government in India. He took fingerprints when people (7) official papers. For many years, he collected the same people's fingerprints several times. He made an important discovery. Fingerprints do not change over time. At about the same time, a Scottish doctor in Japan began to study fingerprints. Henry Faulds was looking at ancient Japanese pottery* one day when he noticed small It occurred to him that the lines were 2,000-year-old fingerprints. Faulds wondered, "Are fingerprints unique to each person?" He began to take fingerprints of all his friends, co-workers, and students at his medical school. Each print was (). He also wondered, "Can you change your fingerprints?” shaved the fingerprints off his fingers with a razor to find out. Would they grow back lines on the pots. (2) He the same? They did. One day, there was a theft in Faulds's medical school. Some alcohol was missing. Faulds found fingerprints on the bottle. He compared the fingerprints to the ones in his records, and he found a match. The thief was one of his medical students. By examining fingerprints, Faulds solved the crime. Both Herschel and Faulds collected fingerprints, but there was a problem. It was very difficult to use their collections to identify a specific fingerprint. Francis Galton in England made it easier. He noticed common patterns in fingerprints. He used these to help classify fingerprints. These features, called "Galton details," made it easier for police to search through fingerprint records. The system is still in use today. When 25 police find a fingerprint, they look at the Galton details. Then they search for other fingerprints with similar features. (4) Like Faulds, Galton believed that each person had a unique fingerprint. According to Galton, the chance of two people with the same fingerprint was 1 in 64 billion. Even the fingerprints of identical twins are ( ). Fingerprints were the perfect tool to 30 identify criminals. For mo than 100 years, no one found two people with the same prints. Then, in 2004, terrorists (I) a crime in Madrid, Spain. Police in Madrid found a fingerprint. They used computers to search databases of fingerprint records all over the world. Three fingerprint experts agreed that a man on the West Coast of the United States was one of the criminals. Police arrested him, but the experts were wrong. The man was innocent. Another man was (). Amazingly, the two men who were 6,000 5 10 136 Lesson 日本大学 470 words 22 (3) 23 024 25 26

添削お願いします。 According to the graph, I would like to state the three points. To begin with, from 1800 to 2012, global, average life expec... 続きを読む

Life Expectancy at Birth 90 80 70 60 50 40 30 20 Life Expectancy of the World Population in 1800, 1950, and 2012 Somalia Nigeria Mozambique Sierra Leone Somalia Bhutan India India 10 und UVO naut no 370qmi Afghanistan India Rwanda South Korea MOT 7 ST GR II 1/4 Pakistan China Nigeria Spain Russia Russia Indonesia South Korea Brazil 1/2 Brazil China China USSR Cuba Cumulative Share of the World Population Japan France 3/4 South Korea Costa Rica USA Mexico Germany Canada Japan Spain Australia Germany Norway USA Belgium Netherlands Germany USA 2012 Global average life expectancy: 70 years 1950 Global average life expectancy: 48 years 1800 Global average life expectancy: 32 years 1 [Adapted from Max Roser et al., "Life Expectancy," in Our World in Data, 2019] 24 2021 (Writing) 早稲田大-国際教養

添削お願いします🙇‍♂️ According to the graph, the lower countries of income per capita such as Cong and Liberia are less likely to mismanage pl... 続きを読む

II Write a paragraph in ENGLISH answering the question below.100 Wiring inq to viilsliv ( 15 cm × 12 ) Please look at the graph below and describe the main trends that are depicted. What sort of relationship between the amount of plastic waste that becomes an environmental pollutant and the income levels of individual countries can be identified on the basis of the graph? What possible reasons might explain this pattern? g Individual data points represent individual countries with the natural log (ln) of the amount of mismanaged plastic waste in kg per 200 person per day (kg/p/d) plotted against the natural log of the gross national income per person. For example, the point depicting the highest rate of plastic pollution represents Sri Lanka, with In (0.229 kg/p/d) = -1.2 and In ($2,420) = 7.79, while the point depicting the lowest rate of plastic pollution represents Sweden with In (0.001 bebesn kg/p/d) = -6.9 and In ($53,810) = 10.89. -