Anger itself is neither good nor bad. It's what we do when we're angry that matters. Anger is a tool that helps us to read and respond to the social situations that bother us. But how can we keep it under control?

    It's normal to think that getting angry is bad and many times we punish ourselves for doing so. But contrary to popular belief, research indicates that anger increases optimism, creativity and efficiency (效率). In addition, studies suggest that anger can lead to more successful negotiations at work, as well as in our personal lives.

    In fact, suppressing (抑制) anger can be very bad for your health. In this sense, Dr. Ernest Harburg performed a study by monitoring a group of adults and their capacity (最大容量) for anger. What he found is that the men and women who suppressed their anger as a response to an unfair attack had a higher risk of developing bronchitis (支气管炎) or suffering from heart attacks, and were more likely to die before their colleagues who let their anger surface (显现) when they felt bothered.

    When anger arises, we feel the need to either prevent or put an end to this powerful feeling for the benefit of our welfare or the welfare of those we care about. But this act of kindness, mercy, love or justice isn't beneficial in this way. However, it's certainly a good thing to be cautious when anger begins to surface. Expressing your anger can be appropriate with certain people at certain times. The question lies in how to do it without losing control. The key to expressing your anger is finding the appropriate tone for expressing what it is that upsets you. But to avoid unnecessary shouting, hitting, or other violent reactions, it's worth taking a moment to step back and think, even though we may be in the middle of an argument with someone.

    Weighing too much can damage your health, and obesity is a growing problem for both kids and adults around the world. Sleep might be one answer to the problem. A new study has found that elementary school students who slept too little were more likely to gain pounds.

    Past studies have shown a link between sleeping less and weighing more, but scientists have had a tough time determining "which came first, the chicken or the egg," says Julie C. Lumeng of the university of Michigan in Ann Arbor. In other words, it hasn't been clear whether kids who weigh too much have trouble sleeping, or whether sleeping less leads to weight gain. Both scenarios (可能出现的情况) seemed equally possible.

    To get a better idea of which causes which, Lumeng and her colleagues interviewed the parents of 785 third graders from around the United States. The parents answered questions about how well their kids slept that year. Three years later, the parents answered the same questions. By sixth grade, 18percent of kids involved in the study were obese.

    The scientists found no relationship between weight and the students' race or gender. It also didn't matter how strict their parents were, or whether they were boys or girls. Obesity struck all of these groups equally. Instead, sleep seemed to be the key factor. Over the three years of study, the children averaged a healthy 9. 5 hours of sleep a night. Some kids, however, slept a lot more or less than others.

    For the sixth graders, every hour of sleep above the 9. 5houraverage was linked to a 20 percent lower risk of being obese. Sleep appeared doubly important for the third graders. Every extra hour of sleep they got was linked to a 40 percent drop in obesity.

    Google's new camera, called Clips, is a small, smart device. It comes with a case that has a clip (夹子)，but it's not designed to be worn on your clothing. Most interestingly, it uses artificial intelligence to take photography out of your hands so it can capture moments on its own.

    This roughly 2-inch by 2-inch camera, with a three-hour battery life and Gorilla Glass for toughness, is intended for candid moments, like when a child does something cute that may happen too quickly for you to pull out your smartphone.

On board the Clips device, it uses machine learning algorithms (计算程序) to help capture scenes. Those algorithms include face recognition. “Once it learns that there's a face you see frequently, it'll try to get nice photos of those faces,” said Juston Payne, the device's product manager. And they also want it to recognize facial expressions, which involved “training it to know what happiness looks like”. The Google team also trained it to recognize what not to shoot — like when a child's hand is over the lens, or if it is tossed in a dark purse.

    The only way to see the images is by connecting the camera with your phone, as it has no screen for viewing or editing.

    Were people concerned it could seem strange? Yes, Payne admitted. But they said they addressed that by making it obvious what it is. A green light on the front signals that it is on. Besides, unlike a camera meant to monitor your home, it is not connected to the Internet.

    “This product is only possible because of the way that silicon has advanced” Payne said, noting that it was only in the past year or so that they could squeeze the technology down into a device this size. Going forward, we're likely to get more assistance from the artificial intelligence packed into our apps and gadgets.

    Your next car might drive itself. After years of trials on city streets, driverless vehicles are now on the way. Last month, a driverless bus began carrying passengers through Lyon, France. Most in the automobile industry think self-driving vehicles will be on the road by 2020 or earlier.

    Driverless cars will first be huddled with human-driven cars. But the first places where they will become dominant（统治的）are highly populated urban areas. Many advanced cities are already reducing the role of human-driven cars. Driverless cars will quicken that process and will bring us enormous benefits.

    Driverless cars will reduce accidents by around 90 percent. That's big—the annual deaths on the world's roads are about 1.2 million a year. Pollution and carbon emissions will drop, because urban driverless cars will be electric.

    On the other hand, driverless cars will cause problems. Over the next 20 years, the mostly low-skilled men who now drive trucks, taxis and buses will see their jobs reduced. Traditional carmakers are especially scared. The cars of the future might be made by tech companies such as Apple, Baidu and Google. Imagine Germany, where automobile making is the largest industry.

    Dramatic changes are coming, and driverless cars could arrive by 2020. But governments have barely begun thinking about it. Only 6 percent of the biggest US cities have taken them into their long-term planning. A decade ago anyone hardly saw the Smartphone coming. Now what about the driverless cars?

    A new study from brain researchers helps explain how the human brain evolved or changed over time, to permit people to speak and write.

    Michael Ullman, the lead researcher, a professor at Georgetown University Medical School in Washington, D.C, has been studying language learning for more than 20 years.

    Ullman says his research shows that the human brain does not have a special area or system for making language. Over time we have simply reused or co-opted (指派) parts of our brain for language. And those parts, he says, are ancient-older even than humans themselves.

    "This study examines the theoretical framework (准则) that language is learned, stored and' processed in two ancient learning and memory systems in the brain."

    Ullman, Hamrick and the rest of the team looked at data from 16 other studies on language. They found that people learn language using two memory systems: declarative and procedural. Memorizing vocabulary, for example, is a declarative memory process. But learning grammar is, mostly, a procedural memory process.

    "Declarative memory, in humans at least, is what we think of as learning memory', such as, 'Oh, remember what you said last night' or things like that. And procedural motor memory is what we often call motor memory' such as how you learn to ride a bicycle." Or, Ullman adds, "These procedural memory skills become so deeply leaned that we are no longer aware that we are doing them."

    However, Ullman explains that the two long-term memory systems can share tasks. And, he adds, the adult brain uses the systems to learn language a bit differently than a child's brain.

    "Adult language learners of a second language may use their declarative memory for using grammar patterns. They think about it purposefully. For a child, the grammar may come more naturally. They don't have to think about the grammar rules before speaking."

    In addition to language learners, Ullman's study could help people who have a brain injury that affects speaking and writing. This knowledge can also help those who have learning disabilities such as dyslexia (阅读障碍). People with dyslexia have difficulty recognizing words and symbols accurately.