4 . Think back to when you were in a maths classroom, and the teacher set a difficult problem. Which of the two following responses is closer to the way you reacted?

A: Oh no, this is too hard for me. I’m not even going to seriously try and work it out.

B: Ah, this is quite tricky, but I like to push myself. Even if I don’t get the answer right, maybe I’ll learn something in the attempt.

Early in her career, the psychologist Carol Dweck of Stanford University gave a group of ten-year-olds problems that were slightly too hard for them. One group reacted positively and loved the challenge. She says they had a ‘growth mindset’ and are focused on what they can achieve in the future. But another group of children felt that their intelligence was being judged and they had failed. They had a ‘fixed mindset’ and were unable to imagine improving. Some of them looked for someone who had done worse than them to boost their self-esteem.

Professor Dweck believes that there is a problem in education at the moment. For years, children have been praised for their intelligence or talent, but this makes them vulnerable (脆弱的) to failure. They become performance-oriented, wanting to please by getting high grades, but they are not interested in learning for its own sake. The solution, according to Dweck, is to lead them to become mastery-oriented (i.e., interested in getting better at something). She claims that the ever-lasting effort over time is the key to outstanding achievement.

Psychologists have been testing these theories. Underperforming school children on a Native American reservation were exposed to growth mindset techniques for a year. The results were nothing less than incredible. They came top in regional tests, beating children from much more privileged backgrounds. These children had previously felt that making an effort was a sign of stupidity, but they came to see it as the key to learning.

5 . What is a database? A database is a collection of data or information that is organized, stored, and accessed electronically.     1     There are three main well-defined aspects of any database:

It is relevant (相关的). When searching for information in the database, you should be able to get results relevant to you. There are several ways to search through a database, for example, using keywords, subject headings, terminology (术语)，etc.     2    

    3     One of the main differences between the information you find on the internet and that in databases is that the information found in databases is often confirmed. Furthermore, the information in the database should have key identifiers such as the publication (发表）details, author’s name, and a summary that you can use to confirm the information.

It is accessible. First of all, access to the library is either free or bought by supporters so that you can access the information within it at no price.     4     Secondly, the database should provide the full-text of the articles, meaning you will not need to go to the library or the source to do so.

    5     It is an academic search engine. It doesn’t always have the articles' full texts, and you may have to go to their libraries and find or pay for them. Also, the search engine collects seemingly academic information from the internet and some of this information isn't always confirmed.

6 . If you look across the entire lifespan, what you see is an average increase in desirable personality traits（特点）.Psychologists call this the “maturity principle” and it’s comforting to know that, assuming your personality follows a typical course, then the older you get, the maturer you will become. However, it’s not such good news for young adolescents, because at this point, something known as the “disruption hypothesis” kicks in.

Consider a study of Dutch teenagers who completed personality tests each year for six or seven years from 2005. The boys showed a temporary dip in   conscientiousness—orderliness and self-discilpline in early adolescence, and the girls showed a temporary increase in neuroticism—emotional instability. This seems to back up some of the stereotypes we have of messy teen bedrooms and mood swings. Thankfully, this decline in personality is short-lived, with the Dutch data showing that the teenagers’ previous positive traits rebound（反弹）in later adolescence.

Both parents and their teenage children agree that changes occur, but surprisingly, the perceived change can depend on who is measuring, according to a 2017 study of over 2,700 German teenagers. They rated their own personalities twice, at age 11 and age 14, and their parents also rated their personalities at these times. Some differences emerged: for instance, while the teenagers rated themselves as declining in agreeability, their parents saw this decline as much shaper. Also, the teens saw themselves as increasingly extroverted（外向的）, but their parents saw them as increasingly introverted.

This mismatch can perhaps be explained by the big changes underway in the parent-child relationship brought on by teenagers’ growing desire for autonomy and privacy. The researchers point out that parents and teens might also be using different reference points—parents are measuring their teenagers’ traits against a typical adult, while the teenagers are comparing their own traits against those displayed by their peers.

This is in line with several further studies, which also reveal a pattern of a temporary reduction in advantageous traits in early adolescence. The general picture of the teenage years as a temporary personality “disruption” therefore seems accurate. In fact, we’re only just beginning to understand the complex mix of genetic and environmental factors that contribute to individual patterns of personality change.

Studies also offer some clues for how we might create more nurturing environments for teenagers to aid their personality development. This is an approach worth pushing further given that teenage personality traits are predictive of experiences in later life. For instance, one British study of over 4,000 teenagers showed that those who scores lower in conscientiousness were twice as likely to be unemployed later in life, in comparison with those who scored higher.

People focus so much on teaching teenagers facts and getting them to pass exams, but perhaps they ought to pay at least as much attention to helping nurture their personalities.

7 . 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.”

8 . Google previously announced successful tests of machine learning systems designed to assist doctors. In one case, Google reported AI had examined eye diseases with equal accuracy to doctors. Other tests showed that machine learning can be used to study large amounts of patient data to predict future medical events.

Now the company has published two new studies showing a high level of success in identifying metastatic breast cancer. Metastatic means that cancer has spread from its main area to other parts of the body. Metastatic breast cancer is one of the deadliest, causing about 90 percent of all breast cancer deaths worldwide.

In metastatic breast cancer patients, the cancer often travels to nearby lymph nodes(淋巴结). Usually doctors examine lymph node tissue under a microscope to see whether cancer is present. Google notes that previous studies have shown that up to one-fourth of metastatic lymph node classifications end up being changed after a second examination. In addition, studies show that small metastatic material can be missed up to 67 percent of the time when examinations happen under extreme time restrictions.

Google says it created a mathematical algorithm(算法). The algorithm, called Lymph Node Assistant, is trained to find characteristics of tissue affected by metastatic cancer. When the system examined tissue images(图像), it was able to differentiate between metastatic cancer and non-cancer 99 percent of the time. In addition, the Lymph Node Assistant is highly effective at finding the positions of the cancers. Some of these positions would be too small for doctors themselves to identify. The research also showed that the algorithm method can reduce the usual time needed to examine the disease by about 50 percent.

But Google makes clear the AI-based system is not meant to replace the work of medical professionals. Instead, it is designed to reduce the number of false identifications and help doctors work faster and more effectively.

9 . If you live in Washington, D. C., or Redwood, Calif., you may have glimpsed a small, boxy robot rolling along a local sidewalk, minding it’s own business, but attracting the attention of many a curious onlooker. The autonomous machines were part of a pilot program last year by Starship Technologies focused on delivering meals from local restaurants in dozens of cities around the world.

“Today, more than ever, people lead a busy and diverse life,” Lex Bayer, Starship’s CEO, said in a statement online. “The hassle of needing to rearrange your life for a delivery will become a thing of the past. You don’t have to switch your working from home day, reschedule meetings, visit a locker, drive to a post office or contact a deliveryman all because of a missed delivery.”

The package delivery service is not available to everyone just yet. The company said it’s rolling out the service in Milton Keynes, England. The wheeled robots have a top speed of 4 mph and can detect obstacles from as far as 30 feet away. “The robot can operate through just about anything,” Nick Handrick, head of operations for Starship’s D. C. office, told The Washington Post's Maura Judkis last year. “If you had something in the way—a stick—it’s able to climb the edges of a road.”

By giving customers control of when deliveries occur, Starship Technologies is offering its service as a way to battle package theft. In its announcement, the company cited statistics from a Wakefield Research Poll for Comcast last year that found that 3 in 10 Americans who live in houses or townhouses have had packages stolen.

To sign up for the service, which costs a little more than $10 per month, customers need to download the company's app. Customers then create a “Starship Delivery Address,” a unique address inside a Starship facility, instead of a residence, where they can have packages sent from places such as Amazon, com. Once a package is delivered to the Starship address, customers receive a text that allows them to schedule a home delivery via robot.

10 . One day, “supercharged plants” may help feed people around the world. Supercharged plants are ones that grow faster than normal plant life. Scientists can speed up the growth by modifying, or changing, the structure of plants' genes. The modifications make them react quickly to changes in light. This all has to do with photosynthesis(光合作用), the process in which plants turn sunlight, carbon dioxide and water into food.

Plants grow fastest in the sun. That is when they make the most food for themselves. But their rate of growth can slow when things like clouds or trees block sunlight. But when the sun returns, it can take many minutes for growth to speed up again.

This can be a problem because it means some of our most important crop plants are not as productive as they could be. Researchers say demand for food is expected to increase up to 70 percent by the middle of the century. They also note rising temperatures on Earth's surface. That is why they are looking for ways to improve photosynthesis and make plants more productive.

Steve Long is a plant biologist at the University of Illinois. He wanted to find a way to help plants get back up to speed quickly after a period of darkness. So he and his team added genes that shortened the recovery time. It also increased the speed at which the plants grew. His modified plants grew up to 20 percent more than untreated ones.

In Long's study, his group used a form of genetic engineering called transgenics (转基因). It means taking genes from one plant, then putting them into another. Now they are experimenting soybeans, rice, cowpeas and cassavas.