Housework is a frequent source of disputes (争论) between lazy husbands and their hard-working wives, but women have been warned not to expect men to pull their weight any time soon.

    A study from Oxford University has found that men are unlikely to be doing an equal share of housework before 2050. Mothers, the researchers warned, will continue to shoulder the burden of childcare and housework for the next four decades, largely because housework such as cleaning and cooking is still regarded as “women's work”.

    The gap between the amount of time men and women spend on housework has narrowed slowly over the past 40 years. But it will take another four decades before true housework equality (平等) is achieved, the study concluded.

    The research found that in the Nordic countries, the burden of housework is shared more equally between men and women. In the UK, women spend an average of four hours and forty minutes each day on housework, compared with two hours and twenty-eight minutes for men. This is an improvement from the 1960s, when British women typically spent six hours a day on housework, while men spent just 90 minutes every day.

    But progress towards housework equality appears to be slowing in some countries. Dr Oriel Sullivan, a research reader from Oxford's Department of Sociology, said, “we've looked at what is affecting the equality in the home, and we have found that certain tasks seem to be given according to whether they are viewed as ‘men's work' or ‘women's work'.”

    Dr Sullivan said cultural attitudes taught at school may be responsible for the views of housework. “At school it is much easier for a girl to be a tomboy, but it is much more difficult for a boy to enjoy baking and dancing,” she said.

    There is always something that happens in the world that everyone fears will happen to their town, city or country: natural disasters. The scariest part of it is that no one will ever see it coming. Though technology helps us prepare, but it never actually tells the people when it's going to hit. It is always estimated but the result is never 100% accurate.

    However, that is not the point of this article. Two different natural disasters in two different parts of the world have happened in the past few weeks. One was a major flood that has hit Louisiana in the United States. The other was an earthquake that hit Amatrice, Italy. However, there is a major difference in the news coverage of the two tragedies.

    As for the flooding in Louisiana, it is reported that this disaster is the worst to hit the United States since Super-storm Sandy and it'll cost at least $30 million. In only the first couple of weeks, 13 people had died. However, like me, many people did not hear about this tragic event. I did not learn about it until about three weeks after it happened.

    In Italy, however, it covered all media instantly. The earthquake in Italy happened on Tuesday morning. That same day, I was on Twitter and that was all that was over the news feed. Every other post was about the earthquake. Some would have the opinion that Amatrice, Italy was one of the most beautiful towns in that country. I got in deep sorrow because there were more people killed in this quake than the flooding. So far, they have a total of 73 dead and over one hundred missing.

    I understand that technically the earthquake in Italy was worse than the floods in Louisiana. However, I believe that if a natural disaster happens, they all should be equally covered and taken equally seriously. We are one world united and should be there for all of the people who are in need of help. We may not be able to accurately predict disasters but, we can surely lend a hand out for the needy.

    Food is extremely important to us human beings and rice is one of the main food in the world. Australian researchers have discovered a way to genetically engineer rice which would provide significant health benefits to more than half the world's population.

    A study undertaken at the University of Tasmania, published in a respected journal of the National Academy of Sciences, discovered a method to increase the resistant starch (抗性淀粉）content in rice, making it more digestible and leading to lower rate of diabetes (糖尿病）and overweight.

    Steven Smith, the lead author of the study and a foreign expert for the Chinese government who has been appointed to work on crop improvement projects by the Chinese Academy of Sciences, said increasing the higher resistant starch content gave this “designer” rice many added health benefits. “We have discovered that we can increase the amount of resistant starch in cooked rice, which could provide health benefits for a large number of people in Asia and beyond,” Smith said in a media release on Friday. “The same approach can be adapted for use in other cereals, including wheat. Not only can it have benefits for diabetes and obesity, but also for disorders of the bowel(肠）including cancer.”

    Rice is the main food for more than half the world's population, providing much of the world with most of their calories. Smith said that as the rate of diabetes and obesity in Asian countries continued to grow, his “designer” rice could provide a way to limit health problems.

    “Not only does resistant starch reduce the possibility of a 'sugar hit' but it also reduces the appetite and promotes the growth of the healthy germs.” Smith said.

Smith divides his time between the University of Tasmania and his research lab in Beijing where he hopes to make significant advance in sustainable (可持续的）living.

    Most dog owners are convinced that their four-legged friends know exactly what they mean when they use certain words like sit, stay or treat. However, researchers have always wondered whether dogs really understand human speech or if they rely on other information to get the meaning. For example, does the word “fetch” form a picture of a stick or ball in the dog's mind, or does the dog bring back the object based on the owner's voice or gesture? A new study by scientists at Atlanta's Emory University seems to indicate that “man's best friend” does indeed know what the owner is saying.

    The researchers began by asking the owners of twelve dogs of various kinds to train their pets to identify two toys of different materials, such as a toy animal and a ball. Once the dogs had mastered the task, they took turns inside a special scanner. The owners then tested their dog's language skill by first calling out the names of the toys they had been trained to recognize and then saying meaningless words such as “bobbu” and “bodmick” while holding up random objects the dogs hadn't seen before.

    The scans suggested that the parts of the dogs' brains responsible for processing of sounds showed different brain patterns when they heard words they were familiar with, compared with the ones they had never heard before. While that was not enough to prove that the dogs were picturing their toys when they heard the word, it did indicate some sort of recognition. The researchers believe this is an important step forward in understanding how dogs process language.

    Even more interesting was that the dog's brains showed a higher level of neural(神经)activity at the sound of unknown words. This is the exact opposite of what happens in human brains, which get more active at the sound of familiar words. The researchers say the dogs may become cheerful at the sound of new words to try to understand them in the hope of delighting their masters. “Dogs want to please their owners, and perhaps also receive praise or food,” says Empty neuroscientist Gregory Burns, senior author of the study.

    However, though your pet may understand human speech, the scientists recommend using visual signals and smell for training. “When people want to teach their dog a trick, they often use spoken command because that's what humans prefer, ”Prichard says.“ From the dog's view, however, a visual command might be more effective, helping the dog learn the trick faster.”

    When a terrible earthquake hit, many people were killed and many houses fell down. After the earthquake, all the newspapers reported many stories about some of the families who were in trouble.

    One Sunday, when I was reading a newspaper, a special picture touched me. It gave the clothing sizes of each family member. I thought that this would be a good chance to teach my children to help those who were less lucky than ourselves. I said to my seven-year-old twins, Brad and Brett, and three-year-old Meghan. "We have so much, and these poor people now have nothing. We'll share what we have with them."

    I filled a box with foods and clothes. While I was doing this, I encouraged the boys to choose their toys and donate some of their less favorite things. Meghan watched quietly as the boys took out their old toys and games and put them together. Then she walked away. A few minutes later she came back with Lucy, her much-loved doll. She put the doll on top of the other toys. "Oh, dear," I said. "You don't have to give Lucy. You love her so much." Meghan said, "Lucy makes me happy, Mommy. Maybe she'll make another little girl happy, too."

    I looked at Meghan for a long moment. She taught me a lesson. It's easy to give something that we don't want any more, but harder to give what we cherish (珍爱), isn't it?