1 . Journey Back in Time with Scholars
Classical Provence(13days)Journey through the beautiful countryside of Provence，France，with Prof. Ori Z. Soltes. We will visit some of the best-preserved Roman monuments in the world. Our tour also includes a chance to walk in the footsteps of Van Gogh and Gauguin. Fields of flowers, tile-roofed(瓦屋顶)villages and tasty meals enrich this wonderful experience.
Southern Spain(15days)
Spain has lovely white towns and the scent(芳香)of oranges，but it is also a treasury of ancient remains including the cities left by the Greeks，Romans and Arabs. As we travel south from Madrid with Prof. Ronald Messier to historic Toledo，Roman Merida and into Andalucia, we explore historical monuments and architecture.
China’s Sacred Landscapes(21days)
Discover the China of “past ages,” its walled cities，temples and mountain scenery with Prof. Robert Thorp. Highlights(精彩之处)include China’s most sacred peaks at Mount Tai and Hangzbou’s rolling hills，waterways and peaceful temples. We will wander in traditional small towns and end our tour with an exceptional museum in Shanghai.
Tunisia(17days)
Join Prof. Pedar Foss on our in-depth Tunisian tour. Tour highlights include the Roman city of Dougga，the underground Numidian capital at Bulla Regia, Roman Sbeitla and the remote areas around Tataouine and Matmata，uique for underground cities. Our journey takes us to picturesque Berber villages and lovely beaches.
1. What can visitors see in both Classical Provence and Southern Spain？
| A．Historical monuments. | B．Fields of flowers. |
| C．Van Gogh’s paintings. | D．Greek buildings. |
| A．France. | B．Spain. | C．China. | D．Tunisia. |
| A．White towns. | B．Underground cities. | C．Tile-roofed villages. | D．Rolling hills. |
2 . In the mid-1990s, Tom Bissell taught English as a volunteer in Uzbekistan. He left after seven months, physically broken and having lost his mind. A few years later, still attracted to the country, he returned to Uzbekistan to write an article about the disappearance of the Aral Sea.
His visit, however, ended up involving a lot more than that. Hence this book, Chasing the Sea: Lost Among the Ghosts of Empire in Central Asia, which talks about a road trip from Tashkent to Karakalpakstan, where millions of lives have been destroyed by the slow drying up of the sea. It is the story of an American travelling to a strange land, and of the people he meets on his way: Rustam, his translator, a lovely 24-year-old who picked up his colorful English in California, Oleg and Natasha, his hosts in Tashkent, and a string of foreign aid workers.
This is a quick look at life in Uzbekistan, made of friendliness and warmth, but also its darker side of society. In Samarkand, Mr Bissell admires the architectural wonders, while on his way to Bukhara he gets a taste of police methods when suspected of drug dealing. In Ferghana, he attends a mountain funeral(葬礼)followed by a strange drinking party. And in Karakalpakstan, he is saddened by the dust storms, diseases and fishing boats stuck miles from the sea.
Mr Bissell skillfully organizes historical insights and cultural references, making his tale a well-rounded picture of Uzbekistan, seen from Western eyes. His judgment and references are decidedly American, as well as his delicate stomach. As the author explains, this is neither a travel nor a history book, or even a piece of reportage. Whatever it is, the result is a fine and vivid description of the purest of Central Asian traditions.
1. What made Mr Bissell return to Uzbekistan?| A．His friends' invitation. | B．His interest in the country. |
| C．His love for teaching. | D．His desire to regain health. |
| A．Developing a serious mental disease. |
| B．Taking a guided tour in Central Asia. |
| C．Working as a volunteer in Uzbekistan. |
| D．Writing an article about the Aral Sea. |
| A．Romantic. | B．Eventful. | C．Pleasant. | D．Dangerous. |
| A．To introduce a book. | B．To explain a cultural phenomenon. |
| C．To remember a writer. | D．To recommend a travel destination. |
3 . Albert Einstein’s 1915 masterpiece “The Foundation of the General Theory of Relativity” is the first and still the best introduction to the subject, and I recommend it as such to students. But it probably wouldn’t be publishable in a scientific journal today.
Why not? After all, it would pass with flying colours the tests of correctness and significance. And while popular belief holds that the paper was incomprehensible to its first readers, in fact many papers in theoretical physics are much more difficult.
As the physicist Richard Feynman wrote, “There was a time when the newspapers said that only 12 men understood the theory of relativity. I do believe there might have been a time when only one man did, because he was the only guy who caught on, before he wrote his paper. But after people read the paper a lot understood the theory of relativity in some way or other, certainly more than 12.”
No, the problem is its style. It starts with a leisurely philosophical discussion of space and time and then continues with an exposition of known mathematics. Those two sections, which would be considered extraneous today, take up half the paper. Worse, there are zero citations of previous scientists’ work, nor are there any graphics. Those features might make a paper not even get past the first editors.
A similar process of professionalization has transformed other parts of the scientific landscape. Requests for research time at major observatories or national laboratories are more rigidly structured. And anything involving work with human subjects, or putting instruments in space, involves piles of paperwork.
We see it also in the Regeneron Science Talent Search, the Nobel Prize of high school science competitions. In the early decades of its 78-year history, the winning projects were usually the sort of clever but naive, amateurish efforts one might expect of talented beginners working on their own. Today, polished work coming out of internships(实习) at established laboratories is the norm.
These professionalizing tendencies are a natural consequence of the explosive growth of modern science. Standardization and system make it easier to manage the rapid flow of papers, applications and people. But there are serious downsides. A lot of unproductive effort goes into jumping through bureaucratic hoops(繁文缛节), and outsiders face entry barriers at every turn.
Of course, Einstein would have found his way to meeting modern standards and publishing his results. Its scientific core wouldn’t have changed, but the paper might not be the same taste to read.
1. According to Richard Feynman, Einstein’s 1915 paper ________.| A．was a classic in theoretical physics |
| B．turned out to be comprehensible |
| C．needed further improvement |
| D．attracted few professionals |
| A．Unrealistic. | B．Irrelevant. |
| C．Unattractive. | D．Imprecise. |
| A．The application of research findings. |
| B．The principle of scientific research. |
| C．The selection of young talents. |
| D．The evaluation of laboratories. |
| A．What makes Einstein great? |
| B．Will science be professionalized? |
| C．Could Einstein get published today? |
| D．How will modern science make advances? |
4 . A build-it-yourself solar still(蒸馏器) is one of the best ways to obtain drinking water in areas where the liquid is not readily available. Developed by two doctors in the U.S. Department of Agriculture, it’s an excellent water collector. Unfortunately, you must carry the necessary equipment with you, since it’s all but impossible to find natural substitutes. The only components required, though, are a 5＇×5＇ sheet of clear or slightly milky plastic, six feet of plastic tube, and a container— perhaps just a drinking cup — to catch the water. These pieces can be folded into a neat little pack and fastened on your belt.
To construct a working still, use a sharp stick or rock to dig a hole four feet across and three feet deep. Try to make the hole in a damp area to increase the water catcher’s productivity. Place your cup in the deepest part of the hole. Then lay the tube in place so that one end rests all the way in the cup and the rest of the line runs up — and out — the side of the hole.
Next, cover the hole with the plastic sheet, securing the edges of the plastic with dirt and weighting the sheet’s center down with a rock. The plastic should now form a cone(圆锥体) with 45-degree-angled sides. The low point of the sheet must be centered directly over, and no more than three inches above, the cup.
The solar still works by creating a greenhouse under the plastic. Ground water evaporates (蒸发) and collects on the sheet until small drops of water form, run down the material and fall off into the cup. When the container is full, you can suck the refreshment out through the tube, and won’t have to break down the still every time you need a drink.
1. What do we know about the solar still equipment from the first paragraph?| A．It’s delicate. | B．It’s expensive. |
| C．It’s complex. | D．It’s portable. |
| A．The tube. | B．The still. |
| C．The hole. | D．The cup. |
| A．Dig a hole of a certain size. | B．Put the cup in place. |
| C．Weight the sheet’s center down. | D．Cover the hole with the plastic sheet. |
| A．the plastic tube | B．outside the hole |
| C．the open air | D．beneath the sheet |
5 . Elizabeth Spelke, a cognitive (认知的) psychologist at Harvard, has spent her career testing the world's most complex learning system-the mind of a baby. Babies might seem like no match for artificial intelligence (AI). They are terrible at labeling images, hopeless at mining text, and awful at video games. Then again, babies can do things beyond the reach of any AI. By just a few months old, they’ve begun to grasp the foundations of language, such as grammar. They’ve started to understand how to adapt to unfamiliar situations.
Yet even experts like Spelke don’t understand precisely how babies — or adults, for that matter — learn. That gap points to a puzzle at the heart of modern artificial intelligence: We're not sure what to aim for.
Consider one of the most impressive examples of AI, Alpha Zero, a programme that plays board games with superhuman skill. After playing thousands of games against itself at a super speed, and learning from winning positions, Alpha Zero independently discovered several famous chess strategies and even invented new ones. It certainly seems like a machine eclipsing human cognitive abilities. But Alpha Zero needs to play millions more games than a person during practice to learn a game. Most importantly, it cannot take what it has learned from the game and apply it to another area.
To some AI experts, that calls for a new approach. In a November research paper, Francois Chollet, a well-known AI engineer, argued that it’s misguided to measure machine intelligence just according to its skills at specific tasks. “Humans don’t start out with skills; they start out with a broad ability to acquire new skills,” he says. “What a strong human chess player is demonstrating is not only the ability to play chess, but the potential to fulfill any task of a similar difficulty.” Chollet posed a set of problems, each of which requires an AI programme to arrange colored squares on a grid (格栅) based on just a few prior examples. It’s not hard for a person. But modern machine-learning programmes-trained on huge amounts of data — cannot learn from so few examples.
Josh Tenenbaum, a professor in MIT's Center for Brains, Minds & Machines, works closely with Spelke and uses insights from cognitive science as inspiration for his programmes. He says much of modern AI misses the bigger picture, comparing it to a cartoon about a two-dimensional world populated by simple geometrical (几何形的) people. AI programmes will need to learn in new ways — for example, by drawing causal inferences rather than simply finding patterns. “At some point — you know, if you’re intelligent — you realize maybe there's something else out there,” he says.
1. Compared to an advanced AI programme, a baby might be better at _______________.| A．labeling images | B．identifying locations |
| C．playing games | D．making adjustments |
| A．Stimulating. | B．Measuring. | C．Beating. | D．Limiting. |
| A．AI is good at finding similar patterns |
| B．AI should gain abilities with less training |
| C．AI lacks the ability of generalizing a skill |
| D．AI will match humans in cognitive ability |
| A．What is exactly intelligence? |
| B．Why is modern AI advanced? |
| C．Where is human intelligence going? |
| D．How do humans tackle the challenge of AI? |
6 . Boston wants to be smarter. The city has taken advantage of technologies to become more responsive to its residents' needs. But technology alone is not sufficient to make today's cities liveable. Boston has discovered that it also needs to reach the old-fashioned low-tech community and integrate that technology with city life.
Kris Carter rolled out Boston's smart city program in 2014. It started with an App that residents could download to report locations where sidewalks needed repair. The city sorted out those reports and ranked them in a database, which repair crews used to prioritize their work.
The system worked beautifully, except for one problem: most of the alerts(警报) came from wealthier neighborhoods, where the concentration of smartphone - equipped residents was highest. ＂The complaints from the App didn't always correlate with the greatest community need for repairs, " explains Carter.
Carter's group has moved away from the model common to many smart city initiatives of letting tech-savvy(精通技术的）residents drive the process. Instead, they run meetings to find out what problems people in different neighborhoods care about solving. When it came to sidewalks, Boston introduced a second method of collecting repair tips, hiring people to get out and walk the city's 1,700 miles of sidewalks to take notes on their condition.
Whether using low-tech or high-tech approaches, says Carter, to stay smart, a city needs to continually reassess its options to spot opportunities to improve residents' lives. Take the sidewalk repair program, walking on the streets was proved a useful, if inefficient way to prioritize repair needs. But last year the group found that walkers' mobile phones could be tracked as they moved along the streets, and that data could be analyzed to identify sidewalk routes which are most often used by neighborhoods.
“Combined with our other sidewalk information, that gave us an even better way to predict where faster repairs would do the most good," says Carter,"We're really always looking for whatever mix of approaches best solves the problem."
1. What is the first paragraph mainly about?| A．The citizens' life. | B．The city's reputation. |
| C．The city's management. | D．The benefits of technology. |
| A．They faced many technical obstacles. |
| B．They couldn't serve all residents well. |
| C．They were not supported by residents. |
| D．They were annoyed by being short-staffed. |
| A．Maximizing the benefits of technology. |
| B．Mixing approaches for solving problems. |
| C．Giving full play to the power of residents. |
| D．Letting tech companies be a leading role. |
| A．A Smart City: More Than Just Tech |
| B．A City with Intelligent Facilities |
| C．Joint-effort in City Construction |
| D．The Modernization of a City |
It’s common knowledge that the woman in Leonardo da Vinci’s most famous painting seems to look back at observers, following them with her eyes no matter where they stand in the room. But this common knowledge turns out wrong.
A new study finds that the woman in the painting is actually looking out at an angle that’s 15. 4 degrees off to the observer’s right-well outside of the range that people normally believe when they think someone is looking right at them. In other words, said the study author, Horstmann, “She’s not looking at you. “ This is somewhat ironic, because the entire phenomenon of a person’s gaze (凝视) in a photograph or painting seeming to follow the viewer is called the “Mona Lisa effect” . That effect is absolutely real, Horstmann said. If a person is illustrated or photographed looking straight ahead, even people viewing the portrait from an angle will feel they are being looked at. As long as the angle of the person’s gaze is no more than about 5 degrees off to either side, the Mona Lisa effect occurs.
This is important for human interaction with on-screen characters. If you want someone off to the right side of a room to feel that a person on-screen is looking at him or her, you don’t cut the gaze of the character to that side-surprisingly, doing so would make an observer feel like the character isn’t looking at anyone in the room at all. Instead, you keep the gaze straight ahead.
Horstmann and his co-author were studying this effect for its application in the creation of artificial-intelligence avatars(虚拟头像) when Horstmann took a long look at the “Mona Lisa” and realized she wasn’t looking at him.
To make sure it wasn’t just him, the researchers asked 24 people to view images of the “Mona Lisa” on a computer screen. They set a ruler between the viewer and the screen and asked the participants to note which number on the ruler intersected(和……相交) Mona Lisa’s gaze. To calculate the angle of Mona Lisa’s gaze as she looked at the viewer, they moved the ruler farther from or closer to the screen during the study. Consistently, the researchers found, participants judged that the woman in the “Mona Lisa” portrait was not looking straight at them, but slightly off to their right.
So why do people repeat the belief that her eyes seem to follow the viewer? Horstmann isn’t sure. It’s possible, he said, that people have the desire to be looked at, so they think the woman is looking straight at them. Or maybe the people who first coined the term “Mona Lisa effect” just thought it was a cool name.
1. It is generally believed that the woman in the painting “Mona Lisa”___________.| A．attracts the viewers to look back |
| B．seems mysterious because of her eyes |
| C．fixes her eyes on the back of the viewers |
| D．looks at the viewers wherever they stand |
A． | B． | C． | D． |
| A．confirm Horstmann’s belief |
| B．create artificial-intelligence avatars |
| C．calculate the angle of Mona Lisa’s gaze |
| D．explain how the Mona Lisa effect can be applied |
| A．Horstmann thinks it’s cool to coin the term “Mona Lisa effect”. |
| B．The Mona Lisa effect contributes to the creation of artificial intelligence. |
| C．Feeling being gazed at by Mona Lisa may be caused by the desire for attention. |
| D．The position of the ruler in the experiment will influence the viewers’ judgement. |
8 . Some termite (白蚁) species have figured out how to enjoy the shelter of the huge complex nests that the insects build without contributing to their construction. They avoid the full anger of their builder hosts by being extremely easy-going.
Animals that live in the nests of another species without affecting them are known as inquilines. Inquiline termites are unique among termites in being unable to make their own nests. Instead, they live in the hallways built by another termite, Constrictotermes cyphergaster. Until now, it has been unclear how the two parties kept peaceful in such tight quarters because termites are typically very aggressive towards outsiders.
Helder Hugo at the University of Konstanz in Germany and his colleagues collected Constrictotermes cyphergaster’s nests in the Brazilian Cerrado and brought them into the laboratory. They then placed host and tenant (房客) termites in either open or narrow areas and used video to track and record the ways in which the two species reacted to each other.
Right from the start, the inquiline’ termites moved around less than their hosts and interacted little with them, even in the much narrower area. “Many times,” says Hugo, “when two unrelated groups are put together in a limited space—such as an experimental area—the outcome is conflict with losses from both sides.” But that didn’t happen here. Despite attacks from host termites, the tenant termites were obedient. Hosts would bite or attack the inquilines with strong chemicals, but their targets never responded in the same way, choosing to flee. Some ignored the hosts completely.
“We did not expect that they would never fight back,” says Hugo, noting that the inquilines are capable of protecting their own place with mouths. “By preventing conflict going worse, inquiline termites may considerably improve their chances of living together with their host termites peacefully.”
“Passiveness does not necessarily lead to defeat, but can be a very useful strategy, saving energy and resources,” she adds. “Nature may not always be red in tooth and claw, and aggression is not any more successful a strategy than ‘cowardice’ (儒弱).”
1. What is the feature of the inquiline termites?| A．They live in another termite species’ nests. |
| B．They are aggressive towards outsiders. |
| C．They like to build their own nests. |
| D．They are communicative tenants. |
| A．The differences between the two species. |
| B．The findings of the observation. |
| C．The living habits of termites. |
| D．The process of the research. |
| A．Aggressive. | B．Unacceptable. | C．Effective. | D．Dangerous. |
| A．The Characteristics of Termites |
| B．Passiveness Doesn’t Necessarily Lead to Defeat |
| C．The Relationship Between Host and Tenant Termites |
| D．Termites Use Cowardice to Avoid Their Hosts’ Anger |
9 . Types of Social Groups
Life places us in a complex web of relationships with other people. Our humanness arises out of these relationships in the course of social interaction. Moreover, our humanness must be sustained through social interaction -- and fairly constantly so. When an association continues long enough for two people to become linked together by a relatively stable set of expectations, it is called a relationship.
People are bound within relationships by two types of bonds: expressive ties and instrumental ties. Expressive ties are social links formed when we emotionally invest ourselves in and commit ourselves to other people. Through association with people who are meaningful to us, we achieve a sense of security, love, acceptance, companionship, and personal worth. Instrumental ties are social links focused when we cooperate with other people to achieve some goal.
Occasionally, this may mean working with, instead of against, competitors. More often, we simply cooperate with others to reach some end without endowing the relationship with any larger significance.
Sociologists have built on the distinction between expressive and instrumental ties to distinguish between two types of groups: primary and secondary. A primary group involves two or more people who enjoy a direct, intimate, cohesive relationship with one another. Expressive ties predominate in primary groups: we view the people as ends in themselves and valuable in their own right. A secondary group entails two or more people who are involved in an impersonal relationship and have come together for a specific, practical purpose. Instrumental ties predominate in secondary groups ; we perceive people as means to ends rather than as ends in their own right. sometimes primary group relationships evolve out of secondary group relationships. This happens in many work settings. People on the job often develop close relationships with coworkers as they come to share gripes, jokes, gossip, and satisfactions.
A number of conditions enhance the likelihood that primary groups will arise. First, group size is important. We find it difficult to get to know people personally when they are milling about and dispersed in large groups. In small groups we have a better chance to initiate contact and establish rapport with them. Second, face - to - face contact allows us to size up others. Seeing and talking with one another in close physical proximity makes possible a subtle exchange of ideas and feelings. And third, the probability that we will develop primary group bonds increases as we have frequent and continuous contact. Our ties with people often deepen as we interact with them across time and gradually evolve interlocking habits and interests.
Primary groups are fundamental to us and to society. Sociologists view primary groups as bridges between individuals and the larger society because they transmit, mediate, and interpret a society’s cultural patterns and provide the sense of oneness so critical for social solidarity. Primary groups, then serve both as carriers of social norms and as enforcers of them.
1. According to Paragraph 1, which of the following statements is true of a relationship?| A．It is a structure of associations with many people. |
| B．It should be studied in the course of social interaction. |
| C．It places great demands on people. |
| D．It develops gradually over time. |
| A．Secondary group relationships begin by being primary group relationships. |
| B．A secondary group relationship that is highly visible quickly becomes a primary group relationship. |
| C．Sociologists believe that only primary group relationships are important to society. |
| D．Even in secondary groups, frequent communication serves to bring people into close relationships. |
| A．enlarge | B．evaluate |
| C．impress | D．accept |
| A．drawing comparisons between theory and practice |
| B．presenting two opposing theories |
| C．defining important concepts |
| D．discussing causes and their effects |
10 . In a study published in Nature Machine Intelligence, researchers at Ohio State University show how artificial intelligence（AI）can follow clinical trials to identify drugs for repurposing, a solution that can help advance innovative treatments.
Repurposing drugs is legal and not unusual. When doctors prescribe(开处方)drugs that have been approved by the Food and Drug Administration(FDA)for purposes different from what is printed on the labels, the drugs are being used “off-label” Just because a drug is FDA-approved for a specific type of disease does not prevent it from having possible benefits for other purposes.
For example, Metformin, a drug that is FDA-approved for treating type 2 diabetes, is also used to treat PCOS(a disease of women), and other diseases. Trazodone, an anti-depressant with FDA-approval to treat depression, is also prescribed by doctors to help treat patients with sleep issues.
The Ohio State University research team created an AI deep learning model for predicting treatment probability with patient data including the treatment, outcomes, and potential confounders(干扰因素).
Confounders are related to the exposure and outcome. For example, a connection is identified between music festivals and increases in skin rashes(红疹). Music festivals do not directly cause skin rashes. In this case, one possible confounding factor between the two may be outdoor heat, as music festivals tend to run outdoors when the temperature is high, and heat is a known cause for rashes. When working with real-world data, confounders could number in the thousands. AI deep learning is well-suited to find patterns in the complexity of potentially thousands of confounders.
The researcher team used confounders including population data and co-prescribed drugs. With this proof-of-concept, now clinicians have a powerful AI tool to rapidly discover new treatments by repurposing existing medications.
1. What do we know about a drug used off-label?| A．It is sold without a label. |
| B．It is available at a low price. |
| C．Its uses extend beyond the original ones. |
| D．Its clinical trials are rejected by doctors. |
| A．are used off-label |
| B．treat rare diseases |
| C．result in sleep issues |
| D．are medical breakthroughs |
| A．They are possible treatments. |
| B．They are environmental factors. |
| C．They can be easily recognized in real-world data. |
| D．They should be taken into serious consideration. |
| A．AI examines benefits of existing drugs. |
| B．AI identifies off-label uses for drugs. |
| C．AI finds new drugs for common diseases. |
| D．AI proves the power of drug research. |
