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TOEIC・英語 大学生・専門学校生・社会人

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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

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情報:IT 高校生

情報:高3 [ウ]の部分がなぜ③になるのか分かりません。 iが 1〜kazu-1 になるから jは 0〜kazu-2 までは考えられたのですが、ここから kazu-2 が kazu-1-i になるのはなぜでしょうか、、教えてください🙇🏻

次の生徒 (S) と先生 (T) の会話文を読み, 空欄 ア 解答群のうちから一つずつ選べ。 キ に入れるのに最も適当なものを、後の SAG (A) (6) T:データを昇順または降順に並べ替えるアルゴリズムのことをソートといいます。まずはじめに、バブルソー トというアルゴリズムを考えてみましょう。バブルソートは、配列の中の隣り合うデータの大小を比較し交 換を繰り返す方法です。 図1は、10個の要素を持つ配列 Data に対してバブルソートを行う場合の流れを 表しています。 グラムの4258 まず、配列の先頭とその次の要素を比較し,左の方が大きければ右と交換する。これを一つずつずらしなが ら配列の最後尾まで繰り返していき、最後尾まで繰り返したら1周目の比較が終了します。 S: つまり, 1周目の比較がすべて終了した段階で、配列の最後尾にはア | が入っているのですね。 T:その通りです。 2周目は、配列のイ を除いて1周目と同じように比較していきます。 これを繰り返 して,最後には配列が並び変わっているという具合ですね。図2はバブルソートのプログラムを表してい ます。 その通りです (SI) し 配列 Data 77 52 89 48 97 3 18 62 33 29 1周目/ 1回目の比較 が配列の中 77 52 89 48 97 3 18 62 33 29 交換する 1周目/ 2回目の比較 52 77 89 48 97 3 18 62 33 29 交換しない 4357 1周目/3回目の比較 52 77 89 48 97 交換する 3 18 62 33 29 図1 配列 Data に対するバブルソートの流れ 国の (1) (2) (3) (4) (5) (6)b Data = [77,5289,48,973 18,62,33,291 kazu= 要素数 (Data) JRS pin iを1からkazu-1まで1ずつ増やしながら繰り返す: inshid jを0から ウ まで1ずつ増やしながら繰り返す: もしData[j] > Data [j + 1] ならば: hokan エ Data[j] ① <[abia] ada rabid k == [abis) stad 0000 Data(+11 Anda > (7) (8) (7) Data[j + 1] = hokan 図2 バブルソートのプログラム (hidaes mig) S:図2のプログラムだと, もし仮に最初からデータが昇順に並んでいても, 配列 Data の場合と同じ回数だけ 比較を繰り返さないといけないですよね? T:いいところに気が付きましたね。 最初から昇順に整列された配列をバブルソートすると、交換回数は オ だけど比較回数は ので効率が悪いです。 それでは, データの整列が完了した段階で繰り返 しを抜けるように図1のプログラムを修正してみましょう。 まず, 変数 koukan を用意して初期化してお きます(図3の (3) 行目)。 次に, 交換が発生した場合, 変数 koukan に 「1」 を代入するようにしましょ (図3の (10) 行目)。 さて、ここで図4のプログラムを,図3のプログラムのどこに挿入すればいいか 分かりますか? S:繰り返しが1周終わるごとに変数 koukan の値を確認する必要がありますから、 T: 正解です! よくできました。 キ だと思います。 98 第3章 コンピュータとプログラミング もし kouk

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英語 高校生

至急!!私立大学看護学部の過去問です。答えがないため、回答を作って欲しいです!!科目は英語です。

問題番号に対応 効とする。 うち受験票お researchers at the University of Veterinary Medicine in Vienna, Austria, have found. Dogs won't give food to a human, even if that person gave them some food first, and that they would help other dogs that had helped them before. Therefore, the team Previous studies have shown that dogs can recognize cooperative and uncooperative humans, "reciprocal altruism"- that is, doing a good thing in return to a human who had given expected to find that their test subjects would put these two things together and show To start, the team trained a group of 37 dogs to press a button which would activate a them food first. *enclosure with the dispenser, while one of (2) two humans was in a separate enclosure with the button. One would press the button to food dispenser. Then, they put each dog in an would not. Each dog was paired with both humans in give food to the dog, and (4) unhelpful one. turn. After that, the researchers switched over the button and the dispenser. They expected that the dogs would press the button to give food to the helpful human but not to the though the dogs did press the button, they did it just as often when either human had the food dispenser, and even when no human was there at all. "In these kinds of studies (5) [perform / to / dogs / which/ trained / are in a particular behavior for an experiment, they will usually do the behavior a few times as they have simply learned the association between the behavior and getting a reward, and it may be enjoyable for them to do the behavior," said Jim McGetrick, a PhD student at the University of Veterinary Medicine in Vienna who led the research. 身を正しく が本冊子 1番 2 次の英文を読んで下の設問に答えなさい。 (3) giving us some food? Are they a combination of reasons. "It is (6) Why wouldn't our best pals want to help us out by secretly all bad boys and girls? McGetrick believes there is possible that the dogs did not understand enough about the task to realize that only one of the humans was providing them with food," he said. It could also be because they didn't fully understand the button and dispenser system, or because they were too focused on the food to notice whether a particular human was pressing the button or not. "Having said all that, even if they did completely understand the task and were fully attentive to the actions of the humans, there is still a good possibility that they wouldn't have given food back in return," he added. "It could be that providing food to a dog as they do not typically do that in everyday life." After all, humans are the ones who human is something very strange for (7) already have food, from a dog's perspective. why would your pet need to worry about (8) making sure you have enough? However, all the humans in the study were people the dogs didn't know. "It is quite 5

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数学 高校生

②が分かりません。教えてください🙇‍♂️

236 基本例題 146 箱ひげ図から 右の図は,ある商店の商品Aと商品Bの30日間にわ たる販売数のデータの箱ひげ図である。 この箱ひげ 図から読み取れることとして正しいものを,次の ① ③ からすべて選べ。 ① 商品Aは,商品Bと比べて, 販売数の範囲, 四分 位範囲ともに大きい。 55 ② 商品Aでは販売数が15個以上の日が15日以上 20 あった。 ③ 商品 A,Bともに販売数が10個未満の日があった。 = ③最小値に注目。 個 25 (個) NE OS 20 15 10 HART & SOLUTION 箱ひげ図からデータを読み取る問題 ① 範囲は「最大値一最小値」を, 四分位範囲は 「箱の高さ」 を比較。 (2) 「15日」 「30日の半分」であるから, 中央値 (第2四分位数) に注目。 1000 商品A 商品B OSARAH p.232 基本事項 1 -Wat At 解答 ① 範囲は,商品Aの方が商品Bより大きい。 また, 四分位 (Aの範囲) > 15 範囲も、商品Aの方が商品Bより大きい 15 Bの範囲) よって, ① は正しい。 (Aの四分位範囲)=10 ② 商品Aのデータの中央値は15個より大きいから、販売(Bの四分位範囲)<10 数が 15個以上の日が半数以上, すなわち15日以上あるこ とがわかる。よって、②は正しい。(3 12+ 1) HINA 基 ③ 商品Bのデータの最小値は10個である。 よって,商品 5 (Aのデータ) <25 B は販売数が 10 個未満の日がないから, ③ は正しくない。 10≦(Bのデータ) 25 以上から, 正しいものは ①,②

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