1 . Atomic shapes are so simple that they can’t be broken down any further. Mathematicians are trying to turn to artificial intelligence (AI) for help to build a periodic table of these shapes, hoping it will assist in finding yet-unknown atomic shapes.
Tom Coates at Imperial College London and his colleagues are working to classify atomic shapes known as Fano varieties, which are so simple that they can’t be broken down into smaller components. Just as chemists arranged element s in the periodic table by their atomic weight and group to reveal new insights, the researchers hope that organizing these atomic shapes by their various properties will help in understanding them.
The team has given each atomic shape a sequence of numbers based on its features such as the number of holes it has or the extent to which it bends around itself. This acts as a bar code (条形码) to identify it. Coates and his colleagues have now created an AI that can predict certain properties of these shapes from their bar code numbers alone, with an accuracy of 98 percent.
The team member Alexander Kasprzyk at the University of Nottingham, UK, says that the AI has let the team organize atomic shapes in a way that begins to follow the periodic table, so that when you read from left to right, or up and down, there seem to be general patterns in the geometry (几何) of the shapes.
Graham Nib lo at the University of Southampton, UK, stresses that humans will still need to understand the results provided by AI and create proofs of these ideas. “AI has definitely got unbelievable abilities. But in the same way that telescopes (望远镜) don’t put astronomers out of work, AI doesn’t put mathematicians out of work,” he says. “It just gives us new backing that allows us to explore parts of the mathematical landscape that are out of reach.”
The team hopes to improve the model to the point where missing spaces in its periodic table could point to the existence of unknown shapes.
1. What is the purpose of building a periodic table of shapes?| A．To gain deeper insights into the atomic shapes. |
| B．To create an AI to predict the unknown shapes. |
| C．To break down atomic shapes into smaller parts. |
| D．To arrange chemical elements in the periodic table. |
| A．Its holes. | B．Its bends. |
| C．Its atomic weight. | D．Its properties. |
| A．Design. | B．Help. | C．Duty. | D．Threat. |
| A．Thanks to AI, new atomic shapes have been discovered. |
| B．Mathematicians turn to AI to create more atomic shapes. |
| C．AI helps build a relationship between chemistry and maths. |
| D．A periodic table of shapes can be built with the help of AI. |
2 . HANDSTITCHED WORLDS: THE CARTOGRAPHY OF QUILTS
Quilts (床罩) are a narrative art; with themes that are political, spiritual, communal, or commemorative, they are infused with history and memory, mapping out intimate stories and legacies through a handcrafted language of design. Handstitched Worlds: The Cartography of Quilts is an invitation to read quilts as maps, tracing the paths of individual histories that illuminate larger historic events and cultural trends.
Spanning the nineteenth to twenty-first centuries, this insightful and engaging exhibition brings together 18 quilts from the collection of the American Folk Art Museum, New York, representing a range of materials, motifs, and techniques from traditional early-American quilts to more contemporary sculptural assemblages. The quilts in Handstitched Worlds show us how this too-often overlooked medium balances creativity with tradition, individuality with collective zeitgeist. Like a road map, these unique works offer a path to a deeper understanding of the American cultural fabric.
Number of Works:18 quilts
Organized by: American Folk Art Museum, New York
Approximate size:175-200 linear feet
Security: Moderate security
Participation Fee: Please inquire
Shipping: IA&A makes all arrangements; exhibitors pay outgoing shipping costs within the contiguous U.S.
Booking Period:12 weeks
Tour: June 2021—August2024
Contact: TravelingExhibitions@ArtsandArtists.org
Leigh Yawkey Woodson Art Museum, Wausau, WI
June 12, 2021—August 29, 2021
Washington State Historical Society, Tacoma, WA
September 17, 2021—January 23, 2022
Utah Museum of Fine Arts, Salt Lake City, UT
February 19, 2022—May 14, 2022
Fort Wayne Muesum of Art, Fort Wayne, IN
June 18, 2022—September 11, 2022
AVAILABLE
October 2022—January 2023
Dane G. Hansen Memorial Museum, Logan, KS
February 17,2023—May 14, 2023
AVAILABLE
June 2023—December 2023
Lauren Rogers Museum of Art, Laurel, MS
January 30, 2024—April 21, 2024
AVAILABLE
May 2024—August 2024
All tour dates can be customized to meet your scheduling needs. Please contact Traveling Exhibitions @ Artsand Artists.org for more information.
1. What is the purpose of the exhibition of Handstitched Worlds: The Cartography of Quilts?| A．To promote creativity and individuality thorough the engaging exhibition. |
| B．To provide an opportunity for visitors to learn to make quilts stitch by stitch. |
| C．To give visitors an insight into the history and culture of America in specific periods. |
| D．To enrich the understanding of the American culture by a tour visit to museums across America. |
| A．The exhibition is free both for the exhibitors and for the visitors. |
| B．Exhibitors that are interested can choose whatever dates they want. |
| C．The artistic and historic value of handstitched quilts used to be neglected. |
| D．Exhibitors that are interested can book the exhibition 12 weeks in advance. |
| A．exhibitors | B．visitors | C．artists | D．historians |
3 . In 1953, when visiting his daughter’s maths class, the Harvard psychologist B.F. Skinner found every pupil learning the same topic in the same way at the same speed. Later, he built his first “teaching machine”, which let children tackle questions at their own pace. Since then, education technology (edtech) has repeated the cycle of hype and flop (炒作和失败), even as computers have reshaped almost every other part of life.
Softwares to “personalize” learning can help hundreds of millions of children stuck in miserable classes—but only if edtech supporters can resist the temptation to revive harmful ideas about how children learn. Alternatives have so far failed to teach so many children as efficiently as the conventional model of schooling, where classrooms, hierarchical year-groups, standardized curriculums and fixed timetables are still the typical pattern for most of the world’s nearly 1.5 billion schoolchildren. Under this pattern, too many do not reach their potential. That condition remained almost unchanged over the past 15 years, though billions have been spent on IT in schools during that period.
What really matters then? The answer is how edtech is used. One way it can help is through tailor-made instruction. Reformers think edtech can put individual attention within reach of all pupils. The other way edtech can aid learning is by making schools more productive. In California schools, instead of textbooks, pupils have “playlists”, which they use to access online lessons and take tests. The software assesses children’s progress, lightening teachers’ marking load and allowing them to focus on other tasks. A study suggested that children in early adopters of this model score better in tests than their peers at other schools.
Such innovation is welcome. But making the best of edtech means getting several things right. First, “personalized learning” must follow the evidence on how children learn. It must not be an excuse to revive pseudoscientific ideas such as “learning styles”: the theory that each child has a particular way of taking in information. This theory gave rise to government-sponsored schemes like Brain Gym, which claimed that some pupils should stretch or bend while doing sums. A less consequential falsehood is that technology means children do not need to learn facts or learn from a teacher—instead they can just use Google. Some educationalists go further, arguing that facts get in the way of skills such as creativity. Actually, the opposite is true. According to studies, most effective ways of boosting learning nearly all relied on the craft of a teacher.
Second, edtech must narrow, rather than widen, inequalities in education. Here there are grounds for optimism. Some of the pioneering schools are private ones in Silicon Valley. But many more are run by charter-school groups teaching mostly poor pupils, where laggards (成绩落后者) make the most progress relative to their peers in normal classes. A similar pattern can be observed outside America.
Third, the potential for edtech will be realized only if teachers embrace it. They are right to ask for evidence that products work. But skepticism should not turn into irrational opposition. Given what edtech promises today, closed-mindedness has no place in the classroom.
1. According to the passage, education technology can ________.| A．decrease teachers’ working load |
| B．facilitate personalized learning |
| C．help standardize curriculums |
| D．be loved by schoolchildren |
| A．The students who are better at memorization tend to be less creative. |
| B．Schools with bans on phones have better results than high-tech ones. |
| C．Shakespeare was trained in grammar but he penned many great plays. |
| D．Lu Xun’s creativity was unlocked after he gave up studying medicine. |
| A．at the service of teaching |
| B．limited in use among pupils |
| C．aimed at narrowing the wealth gap |
| D．in line with students’ learning styles |
| A．To stress the importance of edtech. |
| B．To introduce the application of edtech. |
| C．To discuss how to get the best out of edtech. |
| D．To appeal for more open-mindedness to edtech. |
4 . A robot created by Washington State University (WSU) scientists could help elderly people with dementia (痴呆) and other limitations live independently in their own homes.
The Robot Activity Support System, or RAS, uses sensors installed in a WSU smart home to determine where its residents are, what they are doing and when they need assistance with daily activities. It navigates (定位) through rooms and around obstacles to find people on its own, provides video instructions on how to do simple tasks and can even lead its owner to objects like their medication or a snack in the kitchen.
“RAS combines the convenience of a mobile robot with the activity detection technology of a WSU smart home to provide assistance in the moment, as the need for help is detected,” said Bryan Minor, a postdoctoral researcher in the WSU School of Electrical Engineering and Computer Science.
Currently, an estimated 50 percent of adults over the age of 85 need assistance with every day activities such as preparing meals and taking medication and the annual cost for this assistance in the US is nearly $2 trillion. With the number of adults over 85 expected to triple by 2050, researchers hope that technologies like RAS and the WSU smart home will relieve some of the financial strain on the healthcare system by making it easier for older adults to live alone.
RAS is the first robot researchers have tried to incorporate into their smart home environment. They recently published a study in the journal Cognitive Systems Research that demonstrates how RAS could make life easier for older adults struggling to live independently.
“While we are still in an early stage of development, our initial results with RAS have been promising,” Minor said. “The next step in the research will be to test RAS’ performance with a group of older adults to get a better idea of what prompts, video reminders and other preferences they have regarding the robot.”
1. How does RAS serve elderly people?| A．Through sensors. | B．Through objects. |
| C．Through a mobile robot. | D．Through their daily activities. |
| A．It is the first robot used in daily life. | B．Its function remains to be tested. |
| C．It can locate people and do any task. | D．It can cook for owners on its own. |
| A．Doubtful. | B．Negative. |
| C．Optimistic. | D．Uncertain. |
| A．Elderly people leave the nursing home. |
| B．Smart Home Tests first elder-Care robot. |
| C．RAS, the first robot to make home smart. |
| D．Older adults have benefited from RAS. |
5 . In a major medical breakthrough, Tel Aviv University researchers have “printed” the world's first 3D vascularized (有血管的）engineered heart using a patient’s own cells and biological materials. Their findings were published on April IS in a study in Advanced Science.
“This is the first time anyone anywhere has successfully engineered and printed an entire heart,” says Prof. Tal Dvir of Department of Materials Science and Engineering, who led the research for the study. “This heart is made from human cells and patient-specific biological materials. In our process, these materials serve as the bioinks, something made of sugars and proteins that can be used for 3D printing of complex tissue models，” Prof, Dvir says. “People managed to 3D print the structure of a heart in the past, but not with cells or with blood vessels (血管).Our results demonstrate the potential of our approach for engineering personalized tissue and organ replacement in the future.”
According to Prof. Dvir，the use of “ native ” patient-specific materials is important to successfully engineering tissues and organs.
The researchers are now planning on culturing the printed hearts in the lab and “ teaching them to behave” like hearts, Prof. Dvir says. They then plan to transplant the 3D-printed heart in animal models.
“We need to develop the printed heart further，” he concludes. “The cells need to form a pumping ability ； they can currently contract (收缩），but we need them to work together. Our hope is that we will succeed and prove our method’s efficacy (功效)and usefulness. “Maybe, in ten years, there will be organ printers in the finest hospitals around the world，and these procedures will be conducted routinely. ”
1. What does Prof. Dvir think of an early 3D-printed heart?| A．It was highly practical. | B．It was too expensive. |
| C．It was personalized. | D．It was too simple. |
| A．It can be cultured in the lab. |
| B．It can match a patient perfectly. |
| C．It has been transplanted in animals. |
| D．It has been widely used in hospitals, |
| A．Ambiguous. | B．Positive. |
| C．Disapproving. | D．Cautious. |
| A．To explain the basic principle of 3D technology. |
| B．To introduce a breakthrough of medical research. |
| C．To doubt the medical value of a new invention. |
| D．To prove the effectiveness of the new technology. |
6 . Getting stuck in a traffic jam is one of the most boring problems for people living in big cities.The fact that you’re moving so slowly leads too stress,anger and the wish that your car could just fly over the traffic like an airplane.
Soon,however, that wish could come true .On May 8, US car-renting company Uber showed off what it described as “the transportation mode of the future: on-demand air transport,”reported ABC News .
According to Nikhill Goel, head of products for Uber Air, the company's air taxi service may launch test flights in the US cities of Dallas and Los Angeles , as well as Dubai in the United Arab Emirates, as early as 2020. If everything goes according to plan, passengers will be able to fly to work by 2023 .
When the Olympics comes to Los Angeles in 2028 . Uber “expects to have hundreds , if not thousands , of its aircraft in the skies.” Goel told Newsweek .
So what would Uber's flying vehicles be like ?
They are small , electric aircraft that take off and land vertically (垂直地) , and they give off zero emissions (排放) and are quiet enough to operate in cities .
Just like an airplane , the vehicles will have fixed wings to help them glide . But while a helicopter has just one big fixed rotor (定量) . Uber's vehicles will have multiple rotors , which will help increase fuel efficiency (效率) while reducing emissions and noise.
Because of these fixed wines and multiple rotors . Uber’s flying taxis“should be quieter and safer than a helicopter.” reported ABC News .
However , the service still has a long way to go before it's ready to accept passengers.For example , to avoid any potential accidents . Uber is working with NASA to study air traffic control problems associated with low-flying aircraft. But just as Dubai's Mayor Betty Price said in a news release . “This program is revolutionary and future -oriented (面向未来的). ”
1. Uber 's flying taxis are expected to start to take passengers in______| A．2020 | B．2023 | C．2028 | D．2030 |
| A．They have one big rotor |
| B．They need more fuel to fly. |
| C．They have fewer fixed wings |
| D．They should be quieter and safer |
| A．They can be as efficient as airplanes and helicopters |
| B．They must be in larger number a few years later. |
| C．They nearly do no harm to the environment. |
| D．They will surely help passengers avoid accidents |
| A．Ubers plan to launch flying taxis |
| B．The advantages of Ubers flying taxis |
| C．Different opinions about Uber's flying taxis. |
| D．The difficulties Uber is facing in testing flying vehicles |
7 . More than loo genes are related with increased risk of developing schizophrenia (精神分裂症), bipolar disorder (躁郁症) and alcoholism (酗酒), confirms a large study published in the recent issue of the British scientific journal Nature.
The world’s largest study into the genetic basis of mental illnesses was led by researchers from British universities, including University College London (UCL), Cardiff University and King's College London (KCL).
Researchers believe that they are now much closer than before to understanding the complex biological causes, which make some people being at high risk of developing mental illnesses. They also believe that these findings could lead to new treatments.
The researchers analyzed the DNA of about 37,000 patients with schizophrenia, bipolar disorder or alcoholism, and compared the smallest genetic changes to those found in about 113,000 healthy people. They then identified about 128 independent genetic variants (变体) at 108 locations on the human chromosomes (染色体) that contribute significantly to developing schizophrenia — 83 of these sites have never before been linked to the illness, according to scientists.
For example, people with the variant of the GRM3 gene, thought to be important in brain signaling, are around 2 to 3 times more likely to develop schizophrenia or alcohol dependence. The variant, which is found in approximately one in every 200 people, is also associated with a three times risk of developing bipolar disorder.
“We could be looking at the next big drug target for treating mental illness,” Professor David Curtis from UCL, co-author of the paper, said. “The work opens up new ways to prevent and treat mental illnesses by revealing the mechanisms involved in their development.”
1. What can we learn from Paragraph 3?| A．Researchers are disappointed at curing biological causes. |
| B．Researchers are worried about the complex biological causes. |
| C．Researchers have found the method of curing biological causes. |
| D．Researchers are confident for figuring out the complex biological causes. |
| A．there are 37,000 patients with mental illnesses in the world |
| B．most of the sites have never before been linked to mental illnesses |
| C．there is little difference between the patients and the healthy people |
| D．the cause of mental illnesses has nothing to do with the genetic changes |
| A．the variant of the GRM3 gene is important |
| B．the number of people with the variant of the GRM3 gene is large |
| C．the number of people with the variant of the GRM3 gene is small |
| D．people with the variant of the GRM3 gene aren’t likely to suffer schizophrenia |
| A．The importance of gene variants. |
| B．The research of gene variants. |
| C．The cause of mental illnesses. |
| D．Gene variants linked to mental illnesses. |
8 . Every animal sleeps, but the reason for this has remained foggy. When lab rats are not allowed to sleep, they die within a month.
One idea is that sleep helps us strengthen new memories.
Support is growing for a theory that sleep evolved so that connections between neurons(神经元) in the brain can be weakened overnight, making room for fresh memories to form the next day.
Now we have the most direct evidence yet that he is right.
If Tononi’s theory is right, it would explain why, when we miss a night’s, we find it harder the next day to concentrate and learn new information — our brains may have smaller room for new experiences.
Their research also suggests how we may build lasting memories over time even though the synapses become thinner. The team discovered that some synapses seem to be protected and stayed the same size.
| A．We should also try to sleep well the night before. |
| B．It’s as if the brain is preserving its most important memories. |
| C．Similarly, when people go for a few days without sleeping, they get sick. |
| D．The processes take place to stop our brains becoming loaded with memories. |
| E．That’s why students do better in tests if they get a chance to sleep after learning. |
| F．“Sleep is the price we pay for learning,” says Giulio Tononi, who developed the idea. |
| G．Tononi’s team measured the size of these connections, or synapses, in the brains of 12 mice. |
9 . Hollywood’s theory that machines with evil(邪恶) minds will drive armies of killer robots is just silly. The real problem relates to the possibility that artificial intelligence(AI) may become extremely good at achieving something other than what we really want. In 1960 a well-known mathematician Norbert Wiener, who founded the field of cybernetics（控制论）, put it this way: “If we use, to achieve our purposes, a mechanical agency with whose operation we cannot effectively interfere(干预), we had better be quite sure that the purpose put into the machine is the purpose which we really desire.”
A machine with a specific purpose has another quality, one that we usually associate with living things: a wish to preserve its own existence. For the machine, this quality is not in-born, nor is it something introduced by humans; it is a logical consequence of the simple fact that the machine cannot achieve its original purpose if it is dead. So if we send out a robot with the single instruction of fetching coffee, it will have a strong desire to secure success by disabling its own off switch or even killing anyone who might interfere with its task. If we are not careful, then, we could face a kind of global chess match against very determined, super intelligent machines whose objectives conflict with our own, with the real world as the chessboard.
The possibility of entering into and losing such a match should concentrate the minds of computer scientists. Some researchers argue that we can seal the machines inside a kind of firewall, using them to answer difficult questions but never allowing them to affect the real world. Unfortunately, that plan seems unlikely to work: we have yet to invent a firewall that is secure against ordinary humans, let alone super intelligent machines.
Solving the safety problem well enough to move forward in AI seems to be possible but not easy. There are probably decades in which to plan for the arrival of super intelligent machines. But the problem should not be dismissed out of hand, as it has been by some AI researchers. Some argue that humans and machines can coexist as long as they work in teams—yet that is not possible unless machines share the goals of humans. Others say we can just “switch them off” as if super intelligent machines are too stupid to think of that possibility. Still others think that super intelligent AI will never happen. On September 11, 1933, famous physicist Ernest Rutherford stated, with confidence, “Anyone who expects a source of power in the transformation of these atoms is talking moonshine.” However, on September 12, 1933, physicist Leo Szilard invented the neutron-induced(中子诱导) nuclear chain reaction.
1. Paragraph 1 mainly tells us that artificial intelligence may .| A．run out of human control |
| B．satisfy human’s real desires |
| C．command armies of killer robots |
| D．work faster than a mathematician |
| A．prevent themselves from being destroyed |
| B．achieve their original goals independently |
| C．do anything successfully with given orders |
| D．beat humans in international chess matches |
| A．help super intelligent machines work better |
| B．be secure against evil human beings |
| C．keep machines from being harmed |
| D．avoid robots’ affecting the world |
| A．It will disappear with the development of AI. |
| B．It will get worse with human interference. |
| C．It will be solved but with difficulty. |
| D．It will stay for a decade. |
10 . Facial expressions carry meaning that is determined by situations and relationships. For example, in American culture (文化) the smile is in general an expression of pleasure. Yet it also has other uses. A woman’s smile at a police officer does not carry the same meaning as the smile she gives to a young child. A smile may show love or politeness. It can also hide true feelings. It often causes confusion (困惑) across cultures. For example, many people in Russia consider smiling at strangers in public to be unusual and even improper. Yet many Americans smile freely at strangers in public places (although this is less common in big cities).Some Russians believe that Americans smile in the wrong places; some Americans believe that Russians don’t smile enough. In Southeast Asian cultures, a smile is frequently used to cover painful feelings. Vietnamese people may tell a sad story but end the story with a smile.
Our faces show emotions (情感), but we should not attempt to "read" people from another culture as we would "read" someone from our own culture. The fact that members of one culture do not express their emotions as openly as do members of another does not mean that they do not experience emotions.
Rather, there are cultural differences in the amount of facial expressions permitted. For example, in public and in formal situations many Japanese do not show their emotions as freely as Americans do. When with friends, Japanese and Americans seem to show their emotions similarly.
It is difficult to generalize about Americans and facial expressiveness because of personal and cultural differences in the United States. People from certain cultural backgrounds in the United States seem to be more facially expressive than others. The key is to try not to judge people whose ways of showing emotion are different. If we judge according to our own cultural habits, we may make the mistake of "reading" the other person incorrectly.
1. What does the smile usually mean in America?| A．Love. | B．Politeness. |
| C．Joy. | D．Thankfulness. |
| A．show friendliness to strangers |
| B．be used to hide true feelings |
| C．be used in the wrong places |
| D．show personal habits |
| A．Learn about their relations with others. |
| B．Understand their cultural backgrounds. |
| C．Find out about their past experience. |
| D．Figure out what they will do next. |
| A．Cultural Differences |
| B．Smiles and Relationship |
| C．Facial Expressiveness |
| D．Habits and Emotions |
