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TOEIC・English Undergraduate

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

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TOEIC・English Undergraduate

今からこの問題のテストがあります! 答えを教えて頂きたいです!

I. mani"X" bnt Quiz 1al insmatste pniwallolantOpel llsw art no ftel mooooysterio Fill in the blanks with the appropriate words or phrases to match the following statement. 01. インターネットのない生活なんて想像もできない。 ) hardly imagine life without the Internet. ) 1 g to brossert) asyl as all anoutalbBQ rexland bed new pail nail art Innil bonteal V 30 ns ahenda sill lent benelque asinspo dT 80 nuzelmibe jut eg lon ed of ar leum and TO asamem Viimist lie yd have 02. コックピットは安全な場所どころではない。 The cockpit ( ) ( ) ( )( )( ) place. 03. 電話を切るやいなや、 また電話が鳴った。 No sooner ( ( oyoT yd ourpoind aew | 80 beaute all tudominib otomoomin bates Wo Hood art stelgmus al emot ansay wool 1.01 ) hung up than the phone rang again. 04. 愛というものは、言わば、心のための栄養である。LIGHmment na ro Love is, so ( ) ( ), a nutrient for the heart. bongenadyeing alt 05. 彼は毎晩誰かが事務所に残っていたらよいと提案した He ( ) that someone stay in the office every night. Vew art to to slam of soigston art live to draw all Co 06. 担保付きのローンから始めた方がよいと勧めたい。 I would ( ) that you start out with a secured loan. hom yde slevou a to poles conse of categ 07. 「ご用は承っておりますか」 「ありがとう。 ただ、 ぶらりとみているだけです」 "Are you (m) (i)?" "Thanks. I'm just browsing." nort 08. 先生が見えるまで、ロビーでお掛けになってお待ちになってください」 ) in the lobby while you wait for the doctor to arrive!" “Please be ( 09. パソコンがあれば、こんな手間はすべて省けますよ。 (パソコンを使えばこの手間はすべて省ける) Als) (c) you all this (c). A personal computer ( 10. 雨が激しく降っていたにもかかわらず、彼女は仕事に行った。 ) ( ) the heavy rain, she went to work. ( )( TO

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TOEIC・English Undergraduate

英語の問題です。 教えて欲しいです🙇‍♀️

(2) I had my teeth 1 check 1( )に入る最も適切な語句を ① ~ ④から選びなさい。 (1) He went on speaking as if she ( 1 can't 2 hasn't ) there. Son 3 wouldn't ) by a dentist this morning. ult niles 3 checking wahiwon (青山学院大 ) ④weren't pomibinand (岩手医科大) 24 to check 2 checked (3) You should not keep any pets ( 1 after 2 unless ) you can take good care of them. 3 when (中央大) ④which 1 as 2 in ) all be correct. ②anytime (6) If the weather ( ①must have been (4) This town will change ( ) another ten years. (5) Those may not ( 1 absolute ) fine yesterday, I would have done the laundry. 2 is (7) Studying takes up a lot of my time during the week, ( ) little time for hobbies. (芝浦工業大) since 3 of (國學院大) 3 everything ④necessarily (関西学院大 ) ③ wasn't 4 had been (皇學館大) ①1 has left (8) Have you heard the rumors ( 1 that 2 what leaves leaving 4 left ) Susan has returned to this town? ③ which (麗澤大) ④ who 1 by (9) What was found in this experiment is ( 2 for (10)( ) what to say, she remained silent. ) great importance to researchers. 3 in (立命館大) 4 of (愛知工業大) 1 Not knowing 2 Being not knowing ③No knowing ④Knowing no (11) I tried to ( 1 have 2 make ) her to tell me what happened last night. 3 get (十文字学園女子大) 4 let How gimon and (12) Do what you like, as ( 1 far 2 much B in 1 in 2 with bnat am ) as you leave me alone. 3 long (13) This tool is dangerous. Please read the instructions ( (14) If I hadn't drunk so much last night, I ( 1 feel (15) I wish you 1 attend (16) If I ( 1 were ) 2 will feel ) the party yesterday. 2 were attending ) much better than I do right now. ③ would feel ③ have attended (中京大) 4 would have felt (目白大) ④had attended ) in your situation, I would be more careful about what you post on social media. (フェリス女学院大) 4 many ) care. (聖隷クリストファー大) at ④take gwol 3 will be (南山大) ④would be

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Physics Undergraduate

量子力学の問題です。 わかる方おられませんか

2. 外部磁場中の荷電粒子の量子力学、 Landau 準位 ベクトルポテンシャル A(t,x)、 スカラーポテ ンシャル (t,x) がある3次元空間の中を質量m、 電荷eをもつ荷電粒子の運動を考える。 その運動量 をp、 位置座標をェとすると、 荷電粒子を記述するハミルトニアンは以下で与えられる。 1 H(t, z,p) = -(p- eA(t, x))² + eo(t, x) 2m (1) (1) この荷電粒子を表す波動関数を重(t,x) としたとき、 確率密度と確率の流れの密度は、ベクトルポ テンシャルがない (演習問題No.1の) 場合に対し微分∇を 「共変微分」Dに置き換えることで 得られることが知られている。 p:=²=v*v, J:= {*D-(D)*} ここで、 2m D:= V-ie A, +∇ ・J=0が成立することを示せ。 とおいた。このとき、連続の方程式 (2) 電場E = -Vo-b と磁場 B = ∇×4が次の(ゲージ) 変換で不変であることを示せ。 at 以下電場はなく、静磁場のみがある場合を考え、磁場が向いている方向を軸とする: B = (0,0,B) Əx AA'′=A_∇入, 中→d=6+ at ここで、 入 = \(t,x) は任意のスカラー場である。 さらに荷電粒子の波動関数も同時に →=e-ie (5) と変換させた場合、 Schrodinger 方程式場=H(t,x, l∇)が変換した場に対しても同様に成 立することを示せ。 A = (0, Bx, 0) にとって、とzに依存しない波動関数 (x,y) を調べる。 (2) このとき、トの取りうる範囲を求めよ。 (3) この背景の下で縦と横の長さがLz, Ly の長方形状の十分薄い平板を0に {(x,y)|0 ≤x≤LT, 0≤y≤Ly} (7) のように置き、この平板内に束縛される荷電粒子の運動を調べる。 このとき、以下のように、ベクト ルポテンシャルを Landau ゲージ (8) (4) このことを、Schrodinger 方程式がゲージ変換のもとで共変性をもつor 共変的である、などという。 同じ量子数をもつ状態がなす部分ベクトル空間の次元のことをその状態の縮退度と呼ぶ。 (6) (3) 波動関数 (x,y)=(x)eikyのように変数分離して荷電粒子に対する時間に依存しない Schrodinger 方程式を解き、 固有関数とエネルギー固有値を全て求めよ。 ただし、演習のプリントで与えられ た特殊関数は説明なしに用いて良いものとし、 規格化も行わなくて良い。 (4) 波動関数 (x,y) は方向に周期境界条件を満たすとする。 v(x, y) = v(x,y + Ly) (5) 基底状態に対しょ軸の位置演算子の期待値 (z) をe, B,kを用いて表わせ。 また、 位置演算子の期 待値が平板内に存在する条件から、 基底状態の縮退度を求めよ。

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