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2018下半年英语六级真题与答案解析:第三套(完整版)

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  听力部分真题答案:

  ABCDD ABCAC BCDAB ADCDA BDACB

  1。 A) It can benefit professionals and non-professionals alike。

  2。 B) Stories about some female physicists。

  3。 C) By including lots of fascinating knowledge。

  4。 D) It provides experiments they can do themselves。

  5。 D)He has not idea how to proceed with his dissertation。

  6。 A) It is too broad。

  7。 B) Nature。

  8。 C) List the parameters first。

  9。 A) The unprecedented high temperature in Greenland。

  10。 C) It typiaclly appears about once every ten years。

  11。 B) Iceless summers in the Arctic。

  12。 C) A strong determination。

  13。 D) It is most important to have confidence in one`s willpower。

  14。 A) They could keep on working longer。

  15。 B) They are subject to change。

  16。 A) About half of current jobs might be automated。

  17。 D) They could grade high-school essays just like human teachers。

  18。 C) It has to rely on huge amounts of previous data。

  19。 D) The theoretical aspects of sustainable energy。

  20。 A) Drive trains with solar energy。

  21。 B) Find a new material for storing energy。

  22。 D) The poor relation between national health and social care services。

  23。 A) It was mainly provided by voluntary services。

  24。 C) Their preference for private services。

  25。 B) They have long been discriminated against。

  conversation 1

  Hey I just read a great book about physics。 I think you‘d like it。 It’s called the physics of the world。 It‘s written by a scientist named Sylvia Mendez。

  Oh I read that book。 It was great。 The writer is a warm and competent guide to the mysteries of physics。 I think it promises enrichment for any reader from those who know little about science to the career physicist。

  And it‘s refreshing to see a strong curious clever woman adding her voice to the scientific discourse and a field that has been traditionally dominated by men。 I think she has to be commended for making an effort to include anecdotes about little known female scientists。 You know they were often victims of a generation firmly convinced that the woman’s place was in the home。

  I like how the book is clearly written with each chapter brought to life by pieces of fascinating knowledge。 For example in one chapter she exposes a myth that I‘ve heard taught by university physics professors。 I’ve often heard that medieval glass windows are thicker at the bottom because glass flows like a fluid。 This, she shows, is not true。 The distortion is actually thanks to a peculiarity of the glassmakers process。

  Yeah I like how she cultivates scientific engagement by providing a host of Do It Yourself experiments that bring the same foundational principles of classical physics that govern everything from the solar system to your kitchen table。 From using complex laws of physics to test whether a spinning egg is cooked to measuring atmospheric pressure by lifting a piece of cardboard。 Her hands-on examples make her book a truly interactive read。

  Yes I must say this a equation-free book is an ideal read for scientists of all stripes, anyone teaching science and even people who dislike physics。

  Question 1: what does the woman say about the book the man recommended?

  A) It can benefit professionals and non-professionals alike。

  Question 2: what can we find in the book the man recommended?

  B) Stories about some female physicists。

  Question 3: How does the author bring her book to life?

  C) By including lots of fascinating knowledge。

  Question 4: How does the book cultivate readers interest in physics。

  D) It provides experiments they can do themselves。

  conversation 2

  A:Hi professor。 I was hoping I could have a moment of your time if you‘re not too busy。 I’m having some problems getting started on my dissertation and I was hoping you could give me some advice on how to begin。

  B:Sure。 I have quite a few students though.So can you remind me what your topic is?

  A:the general topic I chose is aesthetics, but that‘s as far as I’ve got I don‘t really know where to go from there。

  B:Yeah,that‘s much too large a topic。 You really need to narrow it down in order to make it more accessible。 Otherwise you’ll be writing a book。

  A:Exactly。 That‘s what I wanted to ask you about。 I was hoping it would be possible for me to change topics。 I’m really more interested in nature than beauty。

  B:I‘m afraid you have to adhere to the assigned topic。 Still, If you’re interested in nature, then that certainly can be worked into your dissertation。 We‘ve talked about Hume before in class right。

  A:Oh yeah, he‘s the philosopher who wrote about where our ideas of beauty come from。

  B:Exactly。 I suggest you go to the library and get a copy of his biography。 Start from there。 But remember to stick to the parameters of the assignment。 This paper is a large part of your cumulative grade。 So make sure to follow the instructions。 If you take a look at his biography。 You can get a good idea of how his life experiences manifest themselves in his theories of beauty。 specifically the way he looked towards nature as the origin of what we find beautiful。

  A:Great。 Thanks for taking the time to answer my questions, Professor。 I‘ll let you get back to class now。

  B:If there‘s anything else you need, please come see me in my office any time。

  Question 5: What is the man‘s problem?

  D)He has not idea how to proceed with his dissertation。

  Question 6 What does the professor think of the man‘s topic?

  A) It is too broad。

  Question 7 What’s the man really more interested in?

  B) Nature。

  Question 8 what does the professor say the man has to do?

  C) List the parameters first。

  passage 1

  During the arctic winter from October to March, the average temperature in the frozen north typically hovers around minus 20 degrees Celsius。 But this year the Arctic is experiencing much higher temperatures。 On February the 20th the temperature in Greenland climbed above freezing or zero degrees Celsius and it stayed there for over 24 hours。 Then on February the 24th the temperature on Greenland‘s northern tip reached six degrees Celsius。 Climate scientists describe the phenomenon as stunning。 Weather conditions that drive this bizarre temperature surge have visited the Arctic before。 They typically appear about once in a decade。 However, the last such increase in temperature took place two years ago。 This is troubling as climbing arctic temperatures combined with rapid sea ice loss are creating a new type of climate feedback loop which could accelerate Arctic warming。 Indeed, sea ice cover in the Arctic is melting faster than expected。 Without those masses of cooling sea ice, warm air brought to the Arctic can penetrate further inland than it ever did before。 The air can stay warmer longer too。 This drives additional melting。 Overall earth is warming at a rapid pace。 2014 through 2017 rank as the hottest years on record and the Arctic is warming twice as fast as any place else on earth。 This raises unique challenges for Arctic wildlife and indigenous people who depend on Arctic ecosystems to survive。 Previously climate forecasts predicted that Arctic summer ice would disappear entirely by around 2060, but based on what scientists are seeing now the Arctic may be facing summers without ice within 20 years。

  Question 9。 What did climate scientists describe as stunning?

  A) The unprecedented high temperature in Greenland。

  Question 10。 What does the passage say about that temperature surge in the Arctic?

  C) It typiaclly appears about once every ten years。

  Question 11。 what may occur in 20 years according to scientists’ recent observations?

  B)Iceless summers in the Arctic。

  Passage2

  A good dose of willpower is often necessary to see any task through whether it‘s sticking to a spending plan or finishing a great novel。 And if you want to increase that willpower。 A new study suggests you just simply have to believe you have it。 According to this study, what matters most is what we think about our willpower。 If we believe it’s a finite resource, we act that way, we feel exhausted and need breaks between demanding mental tasks。 However, people who view their willpower as a limitless resource get energized instead。 The researchers used a psychological assessment tool to test the validity of the study。 They asked 1100 Americans and 1600 Europeans to grade different statements such as after a challenging mental activity, my energy is depleted and I must rest to get it refueled again or I can focus on a mental task for long periods without feeling tired。

  Although there was little difference between men and women overall。 Americans were more likely to admit to needing breaks after completing mentally challenging tasks European participants on the other hand claimed they were able to keep going。 Based on the findings, the researchers suggest that the key to boosting your willpower is to believe that you have an abundant supply of it。 Your feelings about your willpower affect the way you behave。 But these feelings are changeable, they said。 Changing your beliefs about the nature of your self-control can have positive effects on character development。 This leads to healthier behaviors and perceptions of other people。

  Question 12 What is often necessary for carrying through a task?

  C) A strong determination。

  Question 13 What is the finding of the new study?

  D) It is most important to have confidence in one`s willpower。

  Question 14 What do we learn about European participants as compared with their American counterparts?

  A) They could keep on working longer。

  Question 15 What do the research say concerning people‘s feelings about willpower?

  B)They are subject to change。

  lecture 1

  Here is my baby niece Sarah。 Her mum is a doctor and her dad is a lawyer。 By the time Sarah goes to college the jobs her parents do are going to look dramatically different。 In 2013,researchers at Oxford University did a study on the future of work。 They concluded that almost one in every two jobs has a high risk of being automated by machines。 Machine learning is the technology that‘s responsible for most of this disruption。 It’s the most powerful branch of artificial intelligence。 It allows machines to learn from data and copy some of the things that humans can do。 My company, Kaggle, operates on the cutting edge of machine learning。 We bring together hundreds of thousands of experts to solve important problems for industry and academia。 This gives us an unique perspective on what machines can do, what they can‘t do and what jobs they might automate or threaten。 Machine learning started making its way into industry in the early 90s。 It started with relatively simple tasks。 It started with things like assessing credit risk from loan applications, sorting the mail by reading handwritten zip codes。 Over the past few years, we have made dramatic breakthroughs。 Machine learning is now capable of far, far more complex tasks。 In 2012, Kaggle challenged its community to build a program that could grade high school essays。 The winning programs were able to match the grades given by human teachers。 Now given the right data, machines are going to outperform humans at tasks like this。 A teacher might read 10000 essays over a 40-year career。 A machine can read millions of essays within minutes。 We have no chance of competing against machines on frequent high-volume tasks, but there are things we can do that machines cannot。 Where machines have made very little progress is in tackling novel situations。 Machines can’t handle things they haven‘t seen many times before。 The fundamental limitation of machine learning is that it needs to learn from large volumes of past data。 But humans don’t。 We have the ability to connect seemingly different threads to solve problems we‘ve never seen before。

  Question 16 what did the researchers at Oxford University conclude?

  A) About half of current jobs might be automated。

  Question 17。 What do we learn about Kaggle companies winning programs?

  D) They could grade high-school essays just like human teachers。

  Question 18。 What is the fundamental limitation on machine learning?

  C) It has to rely on huge amounts of previous data。

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