You walk into the classroom, look at that white piece of paper in front of you and are told you've got an hour and a half to do it. That can make anyone nervous, but here is the guide to stay calm.

    Get a good night's sleep the night before the test, and eat a healthy breakfast next day. {#blank#}1{#/blank#} If you're too tired, you won't remember what you learnt the night before.

    Get to class a little earlier. If you get there early, you'll make sure to get your favorite seat. {#blank#}2{#/blank#}

    Breathe. Before the test, breathe in through your nose deeply and slowly. {#blank#}3{#/blank#} Repeat this several times. If you experience a sudden panic during the test, perform the exercise again.

    Skip questions if necessary. {#blank#}4{#/blank#} If you come across a difficult question, skip the question and move on. You can come back to it at the end of the test if you have time, and later questions may help you get the answer(s) to the one(s) you skipped.

    {#blank#}5{#/blank#} Don't panic if you notice other students writing very quickly or handing in their tests early. Tell yourself it's just a test. Really, it is. No matter what happens, everything will be OK.

    A man had a dream in which he was told where he could find fantastic wealth in a remote place. When he awoke, he immediately set off to find it. After a long journey full of danger and hardship, he arrived at the place in his dream. A local man who had heard about the dreamer's purpose laughed loud and long, saying that he had dreamed three times about a house where great treasure was buried under a fountain. It made the dreamer realize that the place the local was describing was his very own yard. He returned home and found the treasure.

    Like the man in this tale, the Chinese movie industry has been on a long journey to find its place in the world. In 1994, “The Fugitive” became the first major Hollywood film to be shown in the country in decades. Audiences were attracted by the movie's fast pace and sound effects, and it proved to be a great success. Since then, the Chinese film industry has balanced a complex (复杂的) relationship with Hollywood.

    Although there has been a sharp slowdown in China's box-office numbers—movie-ticket revenue rose just 3.7 percent in 2017 after growing by an average of 35 percent per year from 2011 to 2016~the country still has a huge movie market, with theaters continuing to expand into more rural areas and audiences proving that they have a strong desire for Hollywood action films. So much so that recently, Hollywood has even started to make movies with China in mind, casting Chinese movie stars with great box-office power and changing the plots of films to win over Chinese moviegoers.

    Many in China's film industry, from young scriptwriters (编剧) to senior critics, know Hollywood's dramatic structure all too well and support its styles. And many American offerings introduced in the Chinese market, regardless of quality, continue to do well among Chinese audiences, especially with young people, whose tastes and viewing habits have been shaped by Hollywood movies and TV shows. Like audiences in other developing countries, those in China tend to have a worldview filtered (过滤) by and focused on the United States, even though the United States doesn't mean the whole world and Hollywood isn't the world's only movie industry.

    Like an ocean that refuses no rivers, China's movie industry will continue to influence and allow itself to be influenced by its international counterparts (对应的人或物). China needs the United States, and the United States needs China. But at the moment, a large difference exists in that very few Chinese movies are able to enter the American market and attract a significant audience. Chinese audiences provide Hollywood with huge profits, but what does China's film industry gain in return?

    Happy Shakespeare Day!

    The 23rd April is World Book Day, but did you know that it is also Shakespeare Day? Everybody has heard of Shakespeare, but do you know many plays he wrote? Have you heard of many of his poetry?

    Shakespeare's plays fit into three categories: tragedies, comedies and histories. Perhaps his most famous play is the tragedy story of Romeo and Juliet, which deals with two young lovers who are forbidden to marry by their parents. Other tragedies include Hamlet, a play about a vengeful ghost Othello, about an army general who is manipulated(操纵) into killing his wife, and Macbeth(麦克白). If you've seen Harry Potterandthe Prisoner of Azkaban written which is sung in the Great Hall after the Sorting Ceremony. These words come from the Witches in Macbeth!

    Shakespeare's comedies include Much Ado About Nothing, A Midsummer Night's Dream and Twelfth Night. Twelfth Night is a play about confusing identities. Two twins are shipwrecked and the sister, Viola, dresses up as her brother, Sebastian, who she thinks is dead. It's hilarious, because the brother reappears without Viola realizing and there's a big love triangle going on: Viola is in love with the Duke Osino, who is in love with Olivia, who falls in love with Sebastian, except she doesn't realize that Sebastian is actually Viola dressed up! Everybody falls in love with the wrong person, but it is all made right in the end.

    The history plays, such as Antony and Cleopatra, Richard III and Henry V are based on the lives of real historical people. Antony and Cleopatra is a story about a doomed romance in ancient Egypt. Cleopatra becomes Antony's mistress and Antony becomes so obsessed with her that he loses his military might. Cleopatra kills self by letting a snake bite her after Egypt's army has been defeated by Octavius and Antony kills himself too.

    Shakespeare's plays can be very heavy going sometimes. Some of the themes they deal with are heavy and complex, so they almost always contain a lighter subplot with characters who aren't closely linked to the characters in the main plot. They are often used in tragedies to lighten the mood of the play and to keep the audience interested in the main plot.

    As if 2016 hadn't been hard enough for China's workforce, a yearly survey has revealed that more than half of the country's white-collar employees got no year-end bonus ahead of the upcoming and costly lunar(农历的) New Year holiday. The survey of 11,500 workers by Chinese employment agency Zhaopin found that 50.9 per cent did not get an annual bonus at the end of 2016. Another 9.6 percent were told their bonuses had been delayed until after the New Year holiday.

    Before the slowdown that began in 2014, employers in China had been less ungenerous with cash bonuses, which can total well over a full month's pay and send employees back home for the holiday with plenty of cash for gifts to elders and other family members or to put away as savings. The impact of weak growth on year-end bonuses may have reached the highest point in 2015, however, when 66 per cent of white-collar workers received no year-end bonuses. And the 2016 level actually represents an improvement from 2014, when 61 per cent had to go without.

    But that recovery has also seen the size of bonuses drop: last year the average bonus was Rmb 12,821（$1,861）, about Rmb 2,000 more than that in 2015 but still about Rmb800 below the 2014 average. More than a quarter of those surveyed who saw their bonuses drop last year blamed the drop on poor company performance.

    Differences among the 34 cities surveyed were still greater, as the average bonus of over Rmb 15,800 in Beijing was more than three times than that in the lowest-paying city of Shenyang. Employees of state-owned firms also expressed more satisfaction with their bonuses than those at private companies — and little wonder, as the average bonus at the former was Rmb 17,318, or about Rmb 6,000 more than what private companies' employees could expect.

    But the impact of companies' stinginess(吝啬) can go beyond simply ruining employees' New Year holiday, possibly coming back to affect employers: 39 percent of respondents said they would look for work elsewhere if their year-end bonus was not returned to normal, an increase of 2.3 Percentage points from 2015.

    Chris Mazdzer won a silver medal in a men's luge (无舵雪橇) singles event at 2018 Pyeongchang Winter Olympics, South Korea — equaling the best finish ever for any member of the US Olympic luge team. In the luge, competitors lie flat, feet first, on a small sled (雪橇). They can travel around an icy track at speeds up to 140 kilometers an hour. The riders control the sled's speed by changing the position of their feet or by moving their shoulders.

    So why did the US luge team win a medal at the Pyeongchang Olympics? Most credit must go to Chris Mazdzer himself. The American said his win was a product of 16 years of preparation and intense training. But another reason for Mazdzer's success could have been the 3-D printing technology, which his team used to make its equipment.

    The term 3-D is short for three dimensional, meaning an object with length, width and height. In 3-D printing, 3-D models are first created as files, or documents, on a computer. The printer then uses a substance (物质) like plastic or metal to create physical objects. The process involves making one layer of material at a time until the objects reach full form.

    The US luge team worked with an American company called Stratasys on the designing and manufacturing process for the sleds. First, the company made a scan, or image, of the body of every member of the luge team. Then, 3-D printing technology was used to create tools for making molds (模子) in the shape of Olympians on top of a sled. The process of designing and tooling sled parts is highly complex and can take several weeks. Officials from the US luge team say 3-D printing can greatly simplify the process, speeding up the production of parts.

    Jon Owen, says the use of 3-D printing has made the team more competitive. It helps the team “continuously adjust designs and run the sleds on the track much faster than traditional processes,” he said. He added that the technology also provides a way to perfectly fit each rider to the sled, while cutting production time and costs.

    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 cncer 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 Al-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.