且吃且增重
The Value of Tears
Tears can ruin make-up, bring conversation to a stop, and give you a runny nose. They can leave you embarrassed and without energy. However, crying is a fact of life, and tears are very useful. Even when you're not crying, your eyes produce tears. These create a film over the eye's surface. This film contains a substance that protects your eyes against infection.
Tears relieve stress, but we tend to fight them for all sorts of reasons. "People worry about showing their emotions. They're afraid that once they lose control, they'll never get it back."
explains psychologist Dorothy Rowe. "As children we were sometimes punished for shedding tears or expressing anger. As adults we still fear the consequences of showing emotions."
Almost any emotion--good or bad, happy or sad--can cause tears. Crying is a way that we release built-up emotions. Tears help you when you feel you are ready to explode because of very strong feelings. It may explain why people who are afraid to cry often suffer more heart attacks than people who cry more freely.
When some people become very stressed, however, they can't cry. They may be feeling shock,angel fear, or grief, but they repress (抑制) the emotion. "Everyone has the need to cry," says psychotherapist(精神治疗师)Vera Diamond. Sometimes in therapy sessions, patients participate in crying exercises. They practice crying so that they can get used to expressing emotion. Diamond says it's best to cry in safe, private places, like under the bedcovers or in the car. That's because many people get uncomfortable when others cry in front of them. In fact, they may be repressing
their own need to cry.
In certain situations, such as at work, tears are not appropriate. It's good to hold back tears during a tense business discussion. "But once you are safely behind closed doors, don't just cry,"Diamond says. She suggests that you act out the whole situation again and be as noisy and angry as you like. It will help you feel better. "And, "she adds," once our tears have released the stress, you can begin to think of logical ways to deal problem."
Tears are a sign of our ability to feel. You should never be afraid to cry.
41. The word "film" in Paragraph 1 is closest in meaning to __________.
A. door
B. point
C. coat
D. level
42. Crying is useful in that it
A. helps you not to explore
B. eases heart attacks
C. makes others comfortable
D. cleans your eyes
43. According to Vera Diamond, crying should be__________.
A. practiced
B. repressed
C. punished
D. done in public
44. What are you expected to do in a tense business discussion?
A. Hold back your tears.
B. Cry in private.
C. Release your stress with tears.
D. Find out the problems.
45. What is the main idea of this passage?
A. How to release your stress.
B. Ways to repress your emotion in public.
C. How to fight tears in a business situation.
D. Importance and necessity of crying.
答案与解析
41.C。词汇题。题干:第一段中的“film”的意思是__________。鉴于职称英语允许考生携带词典,通过查词典可知,film的意思有“电影,胶片,薄层”等意思,根据语境“These create a film over the eye’S surface”可知这里指的是在眼睛表面形成的一层东西,由此推知film在这里是“薄层”的意思,对比四个选项,coat(外套,外层)在语义上与film(薄层)最接近,所以该题答案为C(外套,外层)。
42.D。细节题。题干:哭泣是有用的,因为它__________。利用题干关键词useful可以定位到第一段的.最后几句,可知眼泪是非常有用的,因为它会在眼睛的表明形成一个薄层,并
且眼泪中含有一种物质可以防止眼睛感染,因而有消除不净之物的功能,对比四个选项可知,该题正确答案为D(清洁眼睛)。
43.A。细节题。题干:根据Vera Diamond,哭泣是__________。利用题干关键词Vera Diamond
可以定位到第三段,可知每个人都有哭的需要,在一些治疗过程中,病人都进行哭泣的练习,以便他们由此开始习惯于情感的表达,而且最好在安全的和私人的地方哭泣,避免在人前哭泣的尴尬,由此可以推断出该题的正确答案为A(练习的)。
44.A。细节题。题干:在紧张的商务商谈中,你可以__________。利用题干关键词tense business discussion可以定位到第五段的第二句,可知在紧张的商务商谈中能抑制住哭泣是好的,所以该题答案为A(忍住不流泪)。
45.D。主旨题。题干:这篇文章的大意是什么?从题目the value oftears以及文中的核心高频词汇tear和crying,可知该文谈论的是眼泪的价值;同时,结合每段的段落大意,第一段指出眼泪虽然不好但却是有用的,第二段说明t艮91可以缓解压力(relieve stress),第三段讲哭泣或眼泪可以释放累积的情感(release built—up emotions),第四段说明哭泣是可以练习的(practice),第五段说明有些场合哭泣是不合适的,最后一段提出眼泪是一种情感能力,所以该题答案为D(哭泣的重要性和必要性)。
紫草莓蛋塔
第3部分:概括大意与完成句子(第23—30题,每题1分,共8分)
下面的短文后有2项测试任务:(1)第23——26题要求从所给的6个选项中为第2——5段每段选择1个最佳标题;(2)第27——30题要求从所给的6个选项中为每个句子确定1个最佳选项。
First Image-recognition Software
1. Dartmouth researchers and their colleagues have created an artificial intelligence software that uses photos to locate documents on the Internet with far greater accuracy than ever before.
2. The new system, which was tested on photos and is now being applied to videos, shows for the first time that a machine learning algorithm (运算法则) for image recognition and retrieval is accurate and efficient enough to improve large-scale document searches online. The system uses pixel (像素) data in images and potentially video — rather than just text — to locate documents. It learns to recognize the pixels associated with a search phrase by studying the results from text-based image search engines. The knowledge gleaned (收集) from those results can then be applied to other photos without tags or captions (图片说明), making for more accurate document search results.
3. "Over the last 30 years," says Associate Professor Lorenzo Torresani, a co-author of the study, "the Web has evolved from a small collection of mostly text documents to a modern, massive, fast-growing multimedia data set, where nearly every page includes multiple pictures or videos. When a person looks at a Web page, he immediately gets the gist (主旨) of it by looking at the pictures in it. Yet, surprisingly, all existing popular search engines, such as Google or Bing, strip away the information contained in the photos and use exclusively the text of Web pages to perform the document retrieval. Our study is the first to show that modern machine vision systems are accurate and efficient enough to make effective use of the information contained in image pixels to improve document search."
4. The researchers designed and tested a machine vision system — a type of artificial intelligence that allows computers to learn without being explicitly programmed — that extracts semantic (语义的) information from the pixels of photos in Web pages. This information is used to enrich the description of the HTML page used by search engines for document retrieval. The researchers tested their approach using more than 600 search queries (查询)on a database of 50 million Web pages. They selected the text-retrieval search engine with the best performance and modified it to make use of the additional semantic information extracted by their method from the pictures of the Web pages. They found that this produced a 30 percent improvement in precision over the original search engine purely based on text.
23. Paragraph 1 ____
24. Paragraph 2 ____
25. Paragraph 3 ____
26. Paragraph 4 ____
A. Function of the new system
B. Improvement in document retrieval
C. Publication of the new discovery
D. Problems of the existing search engines
E. Popularity of the new system
F. Artificial intelligence software created
27. The new system does document retrieval by ____.
28. The new system is expected to improve precision in ____.
29. When performing document retrieval the existing search engines ignore __ __
30. The new system was found more effective in document search than the ____
A. using photos
B. description of the HTML page
C. current popular search engines
D. document search
E. information in images
F. machine vision systems
参考答案:第3部分:概括大意与完成句子(第23—30题,每题1分,共8分)
23-26. F A D B
27-30.A D E C
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