A 16-year survey on the arctic Norwegian island of Svalbard found the reindeer（驯鹿）there have declined in weight by an alarming 12 percent. The reduction in average body-mass is being blamed on global warming.

    In research presented lately at a meeting of the British Ecological Society in Liverpool, scientists will explain how rising temperatures are making female reindeer difficult to obtain nutrients during important periods of being pregnant.

    Snow in Svalbard typically covers the ground for eight months of the year, which, combined with low temperatures, limits grass growth to June and July. But as summer temperatures have increased by around 1.5℃, grasslands have become more productive, allowing female reindeer to gain more weight by the autumn and therefore to conceive（孕育）more calves.

    However, warmer winters have brought with them greater rainfall which freezes when is settles on the snow, therefore locking out the reindeer from the life-supporting food below. As a result, female reindeer are becoming starved, causing them to give birth to much lighter young. The average mass of an adult reindeer in 1998, when the survey began, was 55kg, but by 2016 IT had dropped to 48kg.

    Professor Steve Albon, an ecologist at the James Hatton Institute in Aberdeen , said that, because the mammals have a relatively high surface-area-to-volume ratio（表面积与体积比）, they are no particularly energy efficient.

    Reindeer can often access the inadequate food sources beneath the snow by clearing IT away with their antlers（鹿角）, but they cannot break through the hard ice. Without access to the food in winter, calves are being born far lighter than they should be. Numbers of reindeer have also increased rapidly in the past 20 years, meaning that those which are born are facing greater competition for food. “The implication（含义）are that there may well be more smaller reindeer in the Arctic in the coming decades, but possibly at the risk of catastrophic die-offs because of increased ice on the ground,”said Professor Albon Despite the gloomy findings, reindeer appear to be suffering less from the impact of climate change than some other arctic species.

    During the cold winter days, there are some interesting festivals in the world. Look at the following ones.

    Harbin Ice and Snow Festival

    Place: China

    Time: January 5 to February 5

    People build incredible things out of ice and snow, decorating them with lights.

    The Carnival of Venice

    Place: Italy

    Time: between February and March

    One of the most beautiful festivals in the world, people wear masks and elaborate costumes to hide differences among classes, and there are contests for the best costumes.

    Holi Festival

    Place: India

    Time: late February/ March, on the last full moon day

    Hindus and Sikhs, in India, Nepal, and Sri Lanka celebrate the main day of this incredibly fun 16-day festival by throwing colored powder and water at each other.

    Sundance Film Festival

    Place: Utah, the US

    Time: end of February

    The largest independent film festival in the US. Watch both feature films and shorts. You need to buy a ticket.

    Advances in artificial intelligence and the use of big data are changing the way many large companies recruit (招募) entry level and junior management positions. These days, graduates' CVs may well have to impress an algorithm (算法) rather than an (human resources) manager.

    While algorithms supposedly treat each application equally, experts are divided about whether so-called robo-recruitment promises an end to human prejudice in the selection process —or whether it may in fact add to it.

    “AI systems are not all equal,” says Loren Larsen, chief technology officer for HireVue, which has developed an automated video interview analysis system. “I think you have to look at the science team behind the work,” says Mr Larsen.

    The problem, experts say, is that to find the best candidates an algorithm has first to be told what “good” looks like in any given organization. Even if it is not given criteria that seem discriminatory, a powerful machine-learning system will quickly be able to copy the characteristics of existing workers. If an organization has favoured white male graduates from well-known universities, the algorithm will learn to select more of the same.

    The growing dependence on automation to judge suitability for everything from a loan to a job worries Yuriy Brun, an associate professor specializing in software engineering. “It takes a lot of the time for a company to put out software but it doesn't know if it is discriminatory” he says. Prof Brun explains that, considering the use of big data, algorithms will unavoidably learn to discriminate.

    Many of those working with robo-recruiters are more optimistic. Kate Glazebrook, the leader and co-founder of Applied, a hiring platform, says her task is to encourage hiring manager to move away from such indicators of quality as schools or universities and move to more evidence-based methods. When candidates complete tests online, Applied hides their names and shows the tests the candidates have completed, question by question, to human assessors. Every stage of the process has been designed to remove prejudice.

    With the same aim, Unilever decided in 2016 to switch to a more automated process for its graduate-level entry programme. Unilever worked with HireVue, Amberjack, which provides and advises on automated recruitment processes, and Pymetrics, another high volume recruitment company, which developed a game-based test in which candidates are scored on their ability to take risks and learn from mistakes, as well as on emotional intelligence. Unilever says the process has increased the ethnic diversity of its listed candidates and has been more successful at selecting candidates who will eventually be hired.

    “The things that we can do right now are impressive, but not as impressive as we're going to be able to do next year or the year after,” says Mr Larsen.

    Still, robo-recruiters must be regularly tested in case prejudice has occurred without anyone realizing it, says Frida Polli, the leader and co-founder of Pymetrics. “The majority of algorithmic tools are most likely causing prejudice to continue existing. The good ones should be examined.”

    If you get into the forest with your friends, stay with them always. If you don't, you may get lost. If you really get lost, this is what you should do. Sit down and stay where you are. Don't try to find your friends—let them find you by staying in one place.

    There is another way to help your friends or other nearby people to find you. Give them a signal (信号) by shouting or whistling (吹口哨) three times. Any signal given three times is a call for help.

    Keep up shouting or whistling always three times together. When people hear you, they will know that you are not just making noise for fun. They will let you know that they have heard your signal. They give you two shouts, two whistles, or two gun-shots (枪声). When someone gives you a signal, it is an answer to a call for help.

If you don't think that you will get help before night comes, try to make a little house—cover up to the holes with branches (树枝) with lots of leaves. Make yourself a soft bed with leaves and grass.

    What should you do if you get hungry or need drinking water? You would have to leave your little house to look for a river. Don't just walk away. Pick off small branches and drop them as you walk so that you can find your way back. The most important thing to do when you are lost is—stay in one place.

Owls and Larks

    Larks are most likely to be healthy, wealthy and wise, according to the old saying.

But those who are early to bed and early to rise do not always have the upper hand, researchers say. They have found that night owls are generally brighter and wealthier than those able to get up early in the morning.

    Experts from the University of Madrid carried out tests on around 1,000 teenagers and found that those who preferred to stay up late proved the kind of intelligence associated with honored jobs and higher incomes. “Larks” or “morning people”, however, often acquired better exam results, possibly because lessons are held at the wrong time of day for night owls. The researchers examined the habits and body clocks of the youngsters to determine whether they liked to stay up late and sleep later in the morning, or preferred to go to bed early and were at their peak in the morning. School performance and inductive(归纳的)intelligence, or problem solving, were measured and academic grades in the major subjects were also taken into account. The results showed that evening types scored higher than morning types on inductive reasoning, which has been shown to be a good estimate of general intelligence and a strong indicator of academic performance. They also had a greater capacity to think conceptually as well as analytically. Such abilities have been linked to innovative(创新的) thinking, more admired occupations and better incomes.

    Famous night owls include President Trump, Obama, Charles Darwin, Winston Churchill, Keith Richards and Elvis Presley. George W. Bush, who is regularly in bed by 10 p.m., Thomas Edison, Napoleon, Condoleezza Rice, who wakes at 4:30 a.m., and Ernest Hemingway are among those known as larks. Jim Horne, professor of psychophysiology at Loughborough University, said, “Evening types tend to be the more active and creative types, the poets, artists and inventors, while the morning types are the deducers(推断者), as are often seen with civil servants and accountants.” A previous study of US Air Force recruits found that evening types were much better at thinking to solve problems than larks.

    I grew to be a tall girl but I tried to be as ordinary as possible. At school, I always chose a seat in the back of the room, and never raised my hand in class. When I was 16, I went to my new school. And I liked the English teacher. In my last year in high school, however, we were told that a new English teacher, Oliver Bascom, was going to teach us.

    Oliver Bascom! The girls laughed as we imagined a short and bald（秃头的）man．The situation was not funny, because this man would teach us for the whole year. Surprisingly, after we opened the door, there in front of the blackboard, we saw a young and handsome man!

    What followed was chaos, seventeen-year-old girls flying to get to seats in the front of the room. And I managed to get a front and center desk.

    I really wanted to make a good impression on my new teacher, but I usually kept quiet. The day that directions were given for our first major writing assignment, I arrived late to class. A friend later gave me the guidelines and I thought I understood them. I worked the whole weekend on the essay and waited nervously for Mr. Bascom's evaluation.

After three days, he arrived in class holding the corrected papers. "I've chosen the ten best essays for class discussion." he said.

    Twenty minutes later, my heart sank when he got to the last essay, and I didn't hear my name.

"These are all great essays," Mr. Bascom continued. "However, I am now going to read you the most successful of all…" We were all surprised as I was the author of this unusual work. A different girl walked out of the classroom that day. I knew that I had a new set of standards to live up to and that anything was possible in the future. Finally, I raised my head.