この写真の問題で間違えてる所があったら教えてください！ 解き方も出来たら含めてお願いします🙇

Nom 102. 酸・塩基の電離 酸塩基は水中で次の式のように電離する。 [] に適当なイオンの化学式を れよ。化学式は,陽イオン、陰イオンの順に書き,必要があれば,係数をつけて答えよ。 (1) HCI → [H+]+°[Cl-] (2) CH3COOH⇔[ H+ []+[CH3COO~ (3) H2SO → 2H+ + [HSO4′] (4) CO2+H2OH++[HCO3^-] (5) NH3 + H2O ⇒ [NH4 ( 6 ) Ba(OH)2 OHD SH [NH4]+[OH-] [] + [BaH [H2O ]

次のテストでこの単語が含まれた長文が出るらしいです。一つは、早稲田大学法学部のものだと考えられます。残り2つを色々調べたんですが、なかなか考えられるものがありません。なにか心当たりありましたら、教えていただきたいです。

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1~4の穴埋めの答え教えて欲しいです！

Try it out! Sed ti blow beriw PUYA 1( )に入る語を選び,英文を完成させましょう。 必要であれば,適切な形に変えましょう。 minuos 1. If you don't hurry, you will ( ) your flight. montantes 20 3000 al 2. If I ( ) you, I would (ve) to study abroad soon after graduation. ) at better local 3. If Kate had learned more about the area, she could ( restaurants. 4. If Kei ( Hild English speaker. ) more interest in visiting foreign countries, he could be a better ZA? DXBBİM choose/have/ eat / miss / be

友達に教えてと言われて考えたのですが自信がないです。10番の答えは3組で合ってますか？一応図4に書き込んでみました。

ⅢI 5.0cm伸ばすのに15Nの力が必要なばねを2つ用意する。 図4のように2つのば ねを「並列」,「直列」にそれぞれつなげ、重さ30Nのおもりをつるした。｢直列」 につなげたとき, 上方のばねをばねC. 下方のばねをばねDとし, そのときの「お もり」や「ばねC」, 「ばねD」, 「天井」にはたらく力を下の表のようにまとめた。 ただし、ばねの質量は無視できるものとする。 1000000 100000 30 30N 天井 図 4 100000000000 C D おもり 表 記号 a b C d e f g 各物体が受ける力の説明 地球がおもりを引く力 おもりがばねDを引く力 天井がばねCを引く力 ばねCがばねDを引く力 ばねCが天井を引く力 ばねDがおもりを引く力 ばねDがばねCを引く力 c=g 2013 (8) 「並列」につなげたとき、 2つのばねの伸びは等しくなる。 おもりが受ける力のつ りあいより,1つのばねの伸びは何cmか。 5cm 201 (9) 「直列」につなげたとき, 「ばねC」 が受ける力のつりあいの関係式を,〔例〕の ように,表のa~gの記号を用いて答えよ。 • A Ch₂ = 9 ※〔例〕: 「おもり」 が受ける力のつりあいの関係式⇒[a = b〕 「直列」につなげたとき,表のa~gのうち, 作用反作用の関係にある力の組み合 わせは全部で何組あるか。 3組 ABEE A₁3& Alight C

2倍にして求めても答えと違う答えになります。分かるかた教えて下さい

ばねは ねは は (4) (1) (2) や 2cm (3) 9.6N AMIV 8cm ヒ, ばねは何cmのびるか。 る。 em〕 - 20cm のびる。 の大きさをæNとする。 20cm ねののびの問題をマスターしよう。 吹きさとばねの 力の大きさ [N] ばねののび [cm] 表したもので, 右下の図はばねB 次の問いに答えなさい。 ただし, 100gの物 の大きさとは 動力の大きさを1とします。 に加えた力の大きさとばねののびの関係を表すグ 右の図にかきなさい。 4818Nの力で引いたとき、ばねは何cmのびますか。 ばねののび(m) 0 2011 6.5cmのばすには,何gのおもりをつるせばよ 10.91.01.11.2131.41.5 0 ( 6 Aにおもりをつるすと、ばねAは17.5cmのびました。 おもりをばねBにつるすと, ばねBは何cmのびますか｡ 8 4 2 0 (3) 0.2 2.5 21.6 1.71.8 10gのおもりをつるすと, ばねA全体の長さは20.75cmになりまし おもりをつるしていないときのばねAの長さは何cmですか。 220g 0.4 5.0 0.6 0.8 7.5 10.0 ばねB 0.2 0.4 0.6 0.8 1.0 図にかく。 まわりの現象 40 力の大きさ(Neo (3) 52g (5) 02.01 18 (2) 22.5cm pom Ich XE 点 uture? を使ってすることwant toを使って れました。 4億以上の英文 以上の英文1文で答 めと9行めを参。レイチェ Risa: You're welcome. Man: (4) Thank ousin? pines. Rachel Curtis you. the next traffic light. You can see it on your left. Risa: Let's see.... Go down this street, and turn right at (解) Get! English 東 1年〈下〉 25 She Man: (3) Where Risa: Pardon me? Man:(1) Ex 2 対話をしよう Excuse is Wakaba Hall? nd I like this country. 3261 me に適する語を書いて、対話を完成させよう。 for いるのですが。 (2) I'm looking Go along this stree be good at ...ing _America_ I'm looking_ (6) 私は市役所をさが street. (5) 何とおっしゃ 所をさがしています。 Turn light 1973 eft at f Wakaba H PU対に 本書を複製して使用すると著作権法遣 本書の内容 編集についての責任は、 解会 お問い合わせは当社におよ

線を引いている英文ですが、itが2回連なるのは何故なのでしょうか。 文の構造の説明もして頂きたいです。

10 shape? The brain interprets the image on the *retina in the light of all sorts of other "information" it receives. Perception, in fact, is by no means a simple recording of the details of the world seen outside. It is a selection of those features with which we are familiar. What it amounts to is that we do not so much believe (3) 15 what we see as see what we believe. Seeing is an activity not only of our eyes but of the (4), which works as a sort of selecting machine. Out of all the images presented to it it chooses for recognition those that fit most closely with the world learned by past experience. (6) I want to give a few more examples to show how what the brain has learned 0 influences the process we call "seeing things." Seeing, they say, is believing. But is it? An arrangement can be made in such a way that 3 person looks 15

和訳を教えてください

3 Lesson 8 1 8 Our Future with Artificial Intelligence Part 2 2 り) 意味のまとまりに注意して、 本文全体を聞こう! 1 教科書p.116-117 We often talk about AI, / but what is it exactly? // It is a computer ③, program / which can do a lot of tasks / with accuracy. // It repeats the tasks, / (4) keeping its accuracy / over a long time. // by deep learning. // 2 Deep learning is a technology / which enables a machine / to learn / by itself, / like humans do. // This type of AI / discovers different features / in an object/ and repeats the process / until it can recognize the object. // As a result, / it can learn / to tell an object from others / with accuracy. // 7 Even human-level AI / can be realized / 9 This technology is used / for self-driving cars. // The AI recognizes stop signs and traffic lights, / so the self-driving cars stop precisely / at TREAT 10 intersections. // Traffic lane lines are recognized, / so cars keep / within their 11 own lanes. // AI contributes to safe driving. // (134 words)

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大気汚業に関して、国同士の排出量取引制度についての是非を述べる Today ve faces the problem of air pollution many countries. and regions adopt emissions trading system Emission trading system encourages them to reduce greenhouse gas thanks to clear goal. Also, it decreases the of reducing grembeuse gas because they can select However, this syster has problems. It emissions. 7 expense the way to limit it 1 e Go more compates in developed countries move to developing countries which have fewer restrictions the system becomes meaningless Futherrere, it is difficult to decide the frame of greentuose gas the country make less efforts If it is easy emissions words If it is hard, the country have difficulty developing. lle unds

問8なのですが、私はgreatを選び間違えました。 解答を見てshortが適することは知ったのですが、 greatが×な理由がわかりません。 また私は「great : 大きな」という意味で訳しました。

staying at home: they've also been detected in buildings. "Fibers could be released from carpets, and by putting on and taking off our clothes," Kelly said. The big question is what effect these plastics have on humans. The ( 7 ) answer is that we just don't know, but scientists including Kelly and Mahon.) 35 believe there is a potential health risk. * ? tan water kk *3 fertilizer * *4 sewage T 注 *1 seabird

生物の食物連鎖とかの問題だと思うんですけど誰かわかる方いますか？？？ 英語すみません💦

hhmi Biolnteractive Some Animals Are More Equal than Others: Trophic Cascades and Keystone Species Mean Leaf Area per Plant Over 18 Months without beetle with beetle Leaf Area per Plant (cm²) Control Ecology 2400 2200 2000 1800 1600 1400 1200 1000 800 Experimental 0 T 2 www.BioInteractive.org 8 10 12 14 16 Months After Start of Experiment 4 6 Refer to the figure to answer questions 12 through 17. 12. For both the plots with the beetles added and the control plots, state the mean tree leaf area per plot that the scientists recorded after running the experiment for 18 months. The mean tree leaf area per plot that the Scientist recorded after running the experiment for 18 months wit the beetles added is 1.7m², S 2.2m² 13. Compare the trends in mean tree leaf area per plot for both the plots with the beetles added and the control plots over the 18 months of the experiment. The area of the control plat for thinoceros beetles has d has increased at a nearly constant rate, the other is a gradua decrease at first, then a sudden decrease, and finally a dradua 18 Figure 2. Mean leaf area per tree. Initial measurements were taken before (0 to 2 months) and after (7 to 18 months) beetles were added to 40 of 80 plants. The light gray round markers represent measurements taken of the control plots, to which beetles were not added. The black square markers represent measurements taken of the experimental plots, to which beetles were added. Measurements were made on all leaves to calculate the mean leaf area per plant. Error bars represent standard error of the mean. 14. Draw two diagrams that show the food chains for both the experimental and control plots. Include increase. interactions among predatory beetles (if present), ants, caterpillars, and piper plants. Revised January 2018 Page 4 of 5