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英語の問が分からないので誰か解ける人解説込みでお願いします

CHAPTER 4 関連英文 "ninge som ow lit andarwood, dodal Passage 1: Australian Woman Who Died after Battling Rare Cancer Penned Inspirational Viral Letter: Each Day is a Gift' ・戦い戦闘 珍しい希少 brow adi b A 27-year-old Australian woman who lost her battle with a rare form of cancer asked her family to brovndaimuw loline how t share the last letter she wrote on her deathbed, 臨終、臨終の床 bed ada li vorf beslás ban obished alloft t Duralin 08 od nesto lana yad al Holly Butcher's last words soon went viral on Facebook after being posted on January 3, one day I rugged one dado dae Prow of an before she passed away, with more than 131,000 people sharing it on the social network. Niggad evil of bedbow Jaritannig gid sysd tabibl 在住居住者 ソーシャル・ネットワーク aid og H Holly, who resided in Grafton in New South Wales, Australia, began her lengthy note by saying that vidiberon and boa she planned to write "a bit of life advice." 実現する 変怪、奇怪な 死亡率 aude doos bad ead.. sailinil orie “It's a strange thing to realize and accept your mortality at 26 years young. It's just one of those things you ignore," she started. “The days tick by and you just expect they will keep on coming; until 20nd ablo ed ad ayawin lliw dad.blow on the unexpected happens." 予想外、予期せぬ 思いがけない 傷つきやすい静 予測不能不透明 Continuing, she wrote, “That's the thing about life. It is fragile, precious and unpredictable and each day is a gift, not a given right. I'm 27 now. I don't want to go. I love my life. I am happy. I owe that to my loved ones. But the control is out of my hands." i delo at guiwolle ads to doid W (B belustai tog Holly then encouraged her family and friends to stop whining “about ridiculous things. " 勇気づけられた 軽微な問題 あほらしい 提案された ばかばかしい 認める承認 “Be grateful for your minor issue and get over it," she suggested. “It's okay to acknowledge that something is annoying but try not to carry on about it and negatively affect other people's days." thegriot yllauen aw ob ネガティブに否定的H うるさ Holly also advised that people don't "obsess” over their bodies and what they eat.dla sV アドバイス 誓うる 助言 とりつくろう 取り憑 audul art ni sunitaoo lw asvil lieb m “I swear you will not be thinking of those things when it is your turn to go," she wrote. “It is all SO insignificant when you look at life as a whole.” 軽微、取るに足りない 微々たるもの After advising her family and friends to closed her letter by encouraging them to aged liw tedw toibong avawl se their money “on experiences” instead of presents, Holly use their merit huuore algoog art nodaum の代わりに ではなく give back. yasaesoonnu yilshom riodigandinemal 善行 ぜんこう “Oh and one last thing, if you can, do a good deed for humanity (and myself) and start regularly amaldory juoda daum col pai donating blood," she wrote. “It will make you feel good with the added bonus of saving lives.” 寄附 寄付 人命救助 命を救う

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TOEIC・英語 大学生・専門学校生・社会人

下線部(1)の文構造が分かりません。特に2行目の文構造が分かりません。強調のdoであることは分かりますが、その後のthat以降が関係詞?かすらも分からないので、誰か教えて下さい!

次の英文は1991年に出版された本からのもので、 研究分野としての「人工知 能」 (Artificial Intelligence) について述べています。 下線部(1)~(3)を日本語に訳 しなさい。 What is Artificial Intelligence (AI)? Just about the only characterization of Al that would meet with universal acceptance is that it involves trying to make machines do tasks which are normally seen as requiring intelligence. There are countless refinements of this characterization: what sort of machines we want to consider; how we decide what tasks require intelligence and so on. One of the most important questions concerns the reasons why we want to make machines do such tasks. AI has always been split between people who want to make machines do tasks that require intelligence because they want more useful machines, and people who want to do it because they see it as a way of exploring how humans do such tasks. We will call the two approaches the engineering approach and the cognitive-science respectively. (2) (1) approach The techniques required for the two approaches are not always very different. For many of the tasks that engineering AI wants solutions to, the only systems we know about that can perform them are humans), so that, at least initially, the obvious way to design solutions is to try to mimic what we know about humans. For many of the tasks that cognitive-science Al wants solutions to, the evidence on how humans do them is too hard to interpret to enable us to construct computational models, so the only approach is to try to design solutions from scratch" and then see how well they fit what we know about humans. The main visible difference between the two approaches is in (3) their criteria for success; an engineer would be delighted to have create something that outperformed a person; a cognitive scientist would regard it as a failure. -1- M7 (492-61

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