【正文】 referred to exercise in nature enriched the previous research to some degree carried out by the University of Michigan exposure to greenery helped cure mental problems（4）n which section of a newspaper may this passage appear? World amp。Science【答案】 （1）D（2）A（3）B（4）C 【解析】【分析】本文是一篇說明文，介紹了一項新的研究成果多看綠色植物和吃垃圾食品這兩者看似風(fēng)馬牛不相及，可研究結(jié)構(gòu)卻表明它們之間存在著一種奇妙的關(guān)系：多看綠色植物能幫助人們克制吃垃圾食品的欲望。 （1）考查段落大意。根據(jù)第二段中的“Researchers …surveyed 149 respondents aged 21 o 65 about the proportion of green space in their neighborhood…”研究人員調(diào)查了年齡在21~65歲之間的149名參與者小區(qū)內(nèi)的綠植比例……；以及“The study also asked questions about experiences with depression and anxiety…”研究中還問了與抑郁及焦慮有關(guān)的問題……等可知，第二段主要介紹了新研究的調(diào)查內(nèi)容，故選D。 （2）考查詞義猜測。根據(jù)常識可知，在大自然中散步對人體有各種各樣的好處，再結(jié)合句中出現(xiàn)的“relieving other mood disorders(緩解其他情緒紊亂)”不難推斷出， batting depression應(yīng)表示“減輕抑郁”。故選A。 （3）考查細節(jié)理解。根據(jù)倒數(shù)第二段中的“…adds a new dimension(方面) to the previous research”為以前的研究增加了新的方面，可知，新的研究在某種程度上豐富了之前的研究成果。故選B。 （4）考查推理判斷?？v觀全文可知，本文介紹了一項科學(xué)研究的研究成果，所以該文章最有可能出現(xiàn)在“技術(shù)與科學(xué)”版塊。故選C。 【點評】本題考點涉及細節(jié)理解，詞義猜測，推理判斷和段落大意四個題型的考查，是一篇科研類閱讀，要求考生在捕捉細節(jié)信息的基礎(chǔ)上，進一步根據(jù)上下文的邏輯關(guān)系，進行分析，推理，概括和歸納，從而選出正確答案。8．閱讀理解 Computer scientists have hoped to give robots technical skills to help them recognize, process and react to humor. But these attempts have mostly failed. AI experts say that in many cases, attempts to make robots understand humor end up producing funny results, but not in the way they were supposed to. Tristan Miller studied more than 10,000 puns in one research project. The pun is a kind of joke that uses a word with two meanings. For example, you could say, “Balloons do not like pop music. The word pop can be a way of saying popular music。 or can mean the sound a balloon makes when it explodes. But a robot might not get the joke. Tristan Miller says that is because humor is a kind of creative language that is extremely difficult for puter intelligence to understand. Allison Bishop is a puter scientist and she also performs standup edy. She explained that machines are trained to look for patterns. Comedy, on the other hand, relies on things that stay close to a pattern, but not pletely within it. To be funny, humor should also not be predictable, Bishop said. This is a great challenge for a machine to recognize and understand what is funny. Bishop says since robots have great difficulty understanding humor, she feels like it gives her better job safety as a edy performer. It even made her parents happy when her brother decided to bee a fulltime edy writer because it meant he wouldn39。t be replaced by a machine, she added. Despite the difficulties, Darmstadt University39。s Miller says there are good reasons to keep trying to teach humor to robots. It could make machines more relatable (敘述的), especially if they can learn to understand sarcasm (諷刺), he noted. Humans use sarcasm to say one thing but mean another. But Kiki Hempelmann thinks differently. Teaching AI systems humor may make them find it where it isn39。t, and they may use it where it39。s not suitable, he said. Maybe bad AI will start killing people because it thinks something is funny, he added.（1）What does the author most probably want to show in Paragraph 1? 39。 influence on the scientific development.39。 challenges of making sense of humor. scientists39。 devotion to technical skills. scientists39。 concern about AI39。s development.（2）What are examples mentioned in Paragraphs 2 and 3 intended to do? robots do poorly in funny work robots aren39。t as intelligent as humans language is plex and changeable language can39。t be taught in a set pattern（3）What can we infer about teaching AI system humor from the last paragraph? will make no difference. may be a doubleedged sword. may help improve humans39。 humor. will attract more puter scientists.（4）Where would the passage most probably e from? journal speech【答案】 （1）B（2）D（3）B（4）C 【解析】【分析】本文是一篇說明文，工程師很難讓機器創(chuàng)造幽默。對于機器人是否應(yīng)該被教授幽默，不同的科學(xué)家有不同的見解。 （1）考查推理判斷。根據(jù)第一段中的“Computer scientists have hoped to give robots technical skills to help them recognize, process and react to humor. But these attempts have mostly failed.”可知，計算機科學(xué)家希望賦予機器人技術(shù)技能，幫助它們識別、處理和應(yīng)對幽默。但這些嘗試大多以失敗告終。通過第一段作者想要展示的是讓機器人理解幽默是有挑戰(zhàn)性的。故選B。 （2）考查推理判斷。根據(jù)第二段中的“Tristan Miller says that is because humor is a kind of creative language that is extremely difficult for puter intelligence to understand.”特里斯坦米勒說，這是因為幽默是一種創(chuàng)造性的語言，對計算機智能來說是非常難以理解的；第三段中的“This is a great challenge for a machine to recognize and understand what is funny.”對于機器來說，識別和理解什么是有趣的是一個巨大的挑戰(zhàn)，可推斷，這兩個例子是用來說明語言不能用固定的模式來教授的。故選D。 （3）考查推理判斷。根據(jù)最后一段中的“‘Teaching AI systems humor may make them find it where it isn39。t, and they may use it where it39。s not suitable,39。 he said. ‘Maybe bad AI will start killing people because it thinks something is funny,39。 he added.“教人工智能系統(tǒng)幽默可能會讓它們在不適合的地方找到幽默，也可能在不適合的地方使用它”，他說。“也許壞的人工智能會開始殺人，因為它認為有些東西很有趣”他補充說道，可推斷出，教授人工智能系統(tǒng)幽默可能是一把雙刃劍。故選B。 （4）考查推理判題。根據(jù)第一段中的“Computer scientists have hoped to give robots technical skills to help them recognize, process and react to humor.”計算機科學(xué)家希望給機器人技術(shù)技能，以幫助他們識別，處理和反應(yīng)幽默，可知，本文講述了教授機器人幽默，因此推斷這篇文章很可能選自科學(xué)雜志。故選C。 【點評】本題考點涉及推理判斷題型的考查，是一篇科技類閱讀，考生需要根據(jù)上下文進行邏輯推理，從而選出正確答案。9．閱讀理解 If you live in a place where most people speak the language you are learning, you may use the language for several hours each day. So it may bee part of your inner speech. In other words, you start thinking in that language. Your mind stops trying to translate things from your native language into the second language. But most of the English learners live in places where English is not the main language. This may be true for you. You may not have many chances to practice English. You may even be selftaught. Thinking in English really helps! It is not very difficult, but it does need practice. Here we will share some mental exercises. A good first step is to think in words. Look around you. What do you see? In your head, try to name each object in your surroundings. Charles Thomas has taught English for over 10 years. He tells his students to name the things that they see around them, wherever they are. Another exercise Thomas suggest is describing in your mind objects you don39。t know the words for. An example would be if you couldn39。t think of the word garage. Thomas says, If you39。re looking at your house and you see your gara