Elephants on the coast of Thailand are acting strange.They stamp their feet and motion toward the hills.The sea draws back from the beaches.Fish fall heavily in the mud.Suddenly,a huge wave appears.This is no ordinary wave.It is tsunami!

    Tsunami waves are larger and faster than normal surface waves.A tsunami wave can travel as fast as a jet plane and can be as tall as a ten-story building.Imagine dropping a stone into a pond.The water on the surface ripples（起涟漪）.A tsunami is like a very powerful ripple.Tsunamis begin when the ocean rises or falls very suddenly.Large amounts of seawater are displaced.This movement caused huge waves.

    For a tsunami to occur,there must be some kind of force that causes the ocean water to become displaced.Most tsunamis are caused by underwater earthquakes.However,volcanoes ,landslides（塌方）,large icebergs,and even meteorites（陨石）are capable of causing one of these mighty waves.

    Tsunamis are extremely powerful.Ordinary waves lose power when they break.Tsunami waves can remain powerful for several days.Because tsunami waves are so strong,they can kill people,damage property,and completely ruin an ecosystem in just one hour.

    Scientists have no way of predicting when a tsunami will hit.However,if a powerful enough earthquake occurs, scientists can send out a warning or a watch.A warning means that a tsunami will very likely hit soon.A watch means that conditions are favorable for a tsunami.When people are informed of a watch or a warning,they have more time to prepare.It is best not to get caught unaware when a tsunami is on the way.

    There are many different voices on charity donations recently. Chen TianQiao, one of the Chinese billionaires, gave away $115 million to the California Institute of Technology (Caltech) to help promote brain research. Chen has been interested in the brain research, believing it can advance the industries of artificial intelligence and virtual reality. However, this huge donation has caused heated discussion among Chinese scholars and internet users.

    Many criticized him for giving money to a foreign university rather than domestic institutes for brain research, which are developing fast and are catching up with the US in just a few years. RaoYi, a biologist at Peking University, even said the donation was a typical mistake.

    Others, however, support his choice. They believe Caltech is a more reasonable choice compared with Chinese research Institutes. Caltech has a long history and has taken a leading position in biology, and therefore it produces more efficient results. What's more, the results of the research will benefit not only the Americans, but also the rest of the world.

    A similar controversial（有争议的）case started two years ago when Pan ShiYi, chairman of SOHO China, donated $15 million to Harvard University to help disadvantaged Chinese Students.

    Many believe that China is still far behind in management and use of donated money, and that as a result, Chinese donators are looking abroad. In comparison, Western countries like the US, which have a long history of donating money, have well-developed systems that use money efficiently. They can also provide full access for donors who want to track the use of the money. To get more donations, Chinese universities should be braver and more honest. They need self-reflection rather than envy.

    As early as 2005, there were a number of new stories about dog cloning(克隆) and cat cloning. Animal cloning had been old news for nearly a decade by then, with the revolutionary (革命的) cloning of Dolly the sheep in Scotland.

    However, Snuppy was the first pet, a dog, to be cloned. Since the cloning of Snuppy, there has been some very successful cloning of pets and other animals. Lou Hawthorne started BioArts while cloning his beloved mixed-breed dog Missy. Hawthorne was very pleased with the results of the cloning, producing three successful clones that were very alike to the original in character and behavior. In January, 2009, a Florida couple, Ed and Nina Otto, announced that they had paid to have their dog cloned by BioArts.

    All new technology is overpriced. For example, personal computers were not very affordable at first. Only after the producing process was improved was it possible for every family to have a computer. How much room there will be for organizations to reduce the price point on pet cloning without broad demand is of course questionable.

    There are many great dogs and cats that can be found at the local dog pound (野狗收容所) or are given away for "free to good homes" in classified ads (分类广告). However, there is no limit to the value people place on a beloved pet. The Ottos are a good example of that. If people can buy a dog or cat with predictable behavior and characteristics, there is value in that. There is a predictable market here, though it may always be limited in size.

    While pet cloning has not taken off as some hoped, it's clear that it will become a bigger market in the future and it will be increasingly possible for people to try this out. With the inevitable (不可避免的) success that cloned pet owners will have, the practice will become more widely accepted and it seems inevitable that there is a future for cloned dogs and cats.

    This morning my family and I went to a friend's home to help her get things back in order. She was one of the unfortunate people whose home was recently destroyed by a tornado(龙卷风). One side of her home fell off and the roof was gone over a large part of the house. Torrential rain fell the rest of the night and all of the next day following the tornado, creating even more damage to her belongings. The home is a total loss. Still, there is much that is valuable, and our job today was to help her sort through the remain and find anything with actual value that she may want to take with her.

    My husband helped to move furniture and other things to the storeroom while our two younger children helped clean up the yard. My oldest daughter and her boyfriend helped as well, and my another daughter with me swept up all of the areas of debris, sorting it for things that are important. We worked systematically, clearing the main living space first, then moving on to the kitchen, laundry area, then the master bedroom.

    By the time we were done today, though there was no denying the home had met with disaster, we had gone far to restore order from the loss that had been there before.

    My thought in entering the day was that our friend, who had been having trouble sleeping, was being affected by that loss negatively. I hoped that if we could restore order, she would finally start to feel some sense of peace and her mind would quiet and allow her the much-needed rest she so deserves.

    She posted on Facebook just a little while ago that for the first time she was sleeping at night. For me, what a wonderful and deeply meaningful way to begin the New Year!

    Microsoft announced this week that its facial-recognition system is now more accurate in identifying people of color, touting (吹嘘)its progress at tackling one of the technology's biggest biases (偏见).

    But critics, citing Microsoft's work with Immigration and Customs Enforcement, quickly seized on how that improved technology might be used. The agency contracts with Microsoft for cloud-computing tools that the tech giant says is largely limited to office work but can also include face recognition.

    Columbia University professor Alondra Nelson tweeted, "We must stop confusing 'inclusion' in more 'diverse' surveillance (监管)systems with justice and equality."

    Facial-recognition systems more often misidentify people of color because of a long-running data problem: The massive sets of facial images they train on skew heavily toward white men. A Massachusetts Institute of Technology study this year of the face-recognition systems designed by Microsoft, IBM and the China-based Face++ found that facial-recognition systems consistently giving the wrong gender for famous women of color including Oprah Winfrey, Serena Williams, Michelle Obama and Shirley Chisholm, the first black female member of Congress.

    The companies have responded in recent months by pouring many more photos into the mix, hoping to train the systems to better tell the differences among more than just white faces. IBM said Wednesday it used 1 million facial images, taken from the photo-sharing site Flickr, to build the "world's largest facial data-set" which it will release publicly for other companies to use.

    IBM and Microsoft say that allowed its systems to recognize gender and skin tone with much more precision. Microsoft said its improved system reduced the error rates for darker-skinned men and women by "up to 20 times," and reduced error rates for all women by nine times.

    Those improvements were heralded(宣布)by some for taking aim at the prejudices in a rapidly spreading technology, including potentially reducing the kinds of false positives that could lead police officers misidentify a criminal suspect.

    But others suggested that the technology's increasing accuracy could also make it more marketable. The system should be accurate, "but that's just the beginning, not the end, of their ethical obligation," said David Robinson, managing director of the think tank Upturn.

    At the center of that debate is Microsoft, whose multimillion-dollar contracts with ICE came under fire amid the agency's separation of migrant parents and children at the Mexican border.

    In an open letter to Microsoft chief executive Satya Nadella urging the company to cancel that contract, Microsoft workers pointed to a company blog post in January that said Azure Government would help ICE "accelerate recognition and identification." "We believe that Microsoft must take an ethical stand, and put children and families above profits," the letter said.

    A Microsoft spokesman, pointing to a statement last week from Nadella, said the company's "current cloud engagement" with ICE supports relatively anodyne(温和的)office work such as "mail, calendar, massaging and document management workloads." The company said in a statement that its facial-recognition improvements are "part of our going work to address the industry-wide and societal issues on bias."

    Criticism of face recognition will probably expand as the technology finds its way into more arenas, including airports, stores and schools. The Orlando police department said this week that it would not renew its use of Amazon. com's Rekognition system.

    Companies "have to acknowledge their moral involvement in the downstream use of their technology,"

    Robinson said. "The impulse is that they're going to put a product out there and wash their hands of the consequences. That's unacceptable."

One fine day, a bus driver went to the bus garage, started his bus, and drove off along his route. No problems for the first few stops—a few people got on, a few got off, and things went generally well.

At the next stop, however, a big hulk of a guy got on. Six feet eight, built like a wrestler, arms hanging down to the ground. He glared at the driver and said, "Big John doesn't pay!" and sat down at the back. The driver was five feet three, thin, and basically mild-mannered. Naturally, he didn't argue with Big John, but he wasn't happy about it.

The next day the same thing happened—Big John got on again, made a show of refusing to pay, and sat down. And the next day, and the one after that, and so forth.

This grated on the bus driver, who started losing sleep over the way Big John was taking advantage of him. Finally he could stand it no longer. He signed up for body building courses, karate, judo, and all that good stuff. By the end of the summer, he had become quite strong—what's more, felt really good about himself.

So on the next Monday, when Big John once again got on the bus and said. "Big John doesn't pay!" the driver stood up, glared back at the passenger, and screamed, "Oh, yeah? And why not?" With a surprised look on his face, Big John replied, "Big John has a bus pass."