学年

質問の種類

TOEIC・英語 大学生・専門学校生・社会人

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

回答募集中 回答数: 0
化学 高校生

(2)②について、なぜBの気体分子の物質量はAとの比で求めたのですか?普通にBでの分圧(蒸気圧)も体積も温度も分かっているなら状態方程式で求めれば良いのではと思いました。もしかしたら気液平衡では状態方程式が成り立たないのかとも考えましたが、そもそもこの比が状態方程式を元に作... 続きを読む

61. 〈温度の異なる連結球と混合気体の圧力〉 下の設問に有効数字2桁で答えよ。 H=1.0, C=12, N = 14, O=16 気体は理想気体として扱い、気体定数 R=8.31×10° Pa・L/ (mol・K),飽和水蒸気圧 は17℃で 1.94×10° Pa, 67℃で 2.70 × 10 Pa とする。 また, コック, 連結部分およ び液体の水の体積は無視できるものとする。 Y) 右図に示した耐圧容器において, コックを閉じた状 X 態で容器Aにメタン 0.32g, 容器Bには空気 (体積比 で酸素 20%, 窒素 80%) 11.52gを入れた。 27℃に保ったままコックを開き, 十分な時間が経 過した後, 容器内のメタンを完全燃焼させ, 容器 A, 容器 \2.00[L] コック 容器 B 30.0(L) Bともに327℃にした。 このときの容器内の全圧 [Pa〕 を求めよ。 ただし, 生成した 水はすべて水蒸気として存在していたものとする。 (2) さらに(1)の後, コックを開いたままで, 容器A内を 67℃, 容器 B内を 17℃に保っ した。このとき、 ① 容器 A内に存在する水蒸気の物質量 [mol] および, ② 容器B内に存 在する液体の水の物質量 [mol] を求めよ。 1962 [14 京都府医大 改]

解決済み 回答数: 1