My friend BJ Gallagher told me a great story recently, about her own experience with resentment (愤恨). She once worked as the training manager for a large newspaper, where she found the corporate culture extremely frustrating. The company was a hundred years old and their past success ha d blinded them to the need for change. Finally, after butting heads with several senior executives (主管) many times, she left the company. But she found that she hadn't left her resentment, frustration, and anger behind when she resigned.

    “I finally decided to write about my experiences and my feelings at the newspaper. I wanted to be rid of that company and those people, once and for all. So I wrote and I wrote. It wasn't just a story that poured out; it was a whole book! We called it A peacock in the Land of Penguins. I was the peacock and those newspaper executives were the penguins.”

    “It took me several more years to finally get over my negative emotions. Through a lot of soul-searching and reflection, I finally was able to let go of my resentment. I came to see that there was nothing personal in the way they treated me, and they were good people doing what they thought best for the company. I was the one who had made it personal. I thought they were making my life miserable on purpose.”

    “Finally, the time came when I decided to make amends (弥补) for the sharp, angry things I had said about the company. I invited my former boss to dinner and made my apology. It was a great healing process for me. I finally felt free of the resentment that had been eating me up.”

    “What was the final outcome?” I asked her.

    “Gratitude,” she replied. “Not only wasn't I resentful any more, I was grateful to the company. If I hadn't had those painful experiences, I would never have written a book. And the book became hugely successful – now published in 21 languages; it transformed my business.”

    The state of Texas has not fully recovered from last year's hurricane, Harvey, as it prepares for a new season of storms. After a teleconference with President Trump and Federal Emergency Officials, Texas governor Greg Abbott said that they were taking steps on a daily basis to make sure they would be able to address any coming challenges.

    Hurricane Harvey brought record rainfall to a wide range of Texas and more rain fell over a five day period than at any time, since records have been kept in the United States beginning in the 1850s. Last year's deadly hurricanes including Harvey, Irma and Maria caused mass destruction in large parts of Texas, Louisiana, the South Atlantic states, the Caribbean and Puerto Rico. Trump praised what he called best recovery and response efforts to the disasters. They were gathering every accessible resource to ensure maximum preparation for rapid response. That's what they had last year. Disaster reaction and recovery is best achieved when it's nationally supported, state managed and locally performed.

    Abbott also mentioned that two new satellites and modem technology will help decide the path and strength of the storms. State and local governments are also planning routes, shelters, communication lines and supply chains to ensure efficient reaction to the storms. Scientists warn that, as the earth warms, storms are taking more moisture and are able to produce more rainfall. This year storms are also expected to be driven by extremely powerful winds.

    Emergency Officials say the nation has to be prepared for ever more active storms in the future. They've got to keep building the culture of preparedness in this state and in this nation. Meteorologists（气象学家）predict up to 16 storms this summer including 5 to 9 hurricanes, the most active storms will occur in the approaching Mid-August.

    Last Thursday, Michael and Linda stood behind large food trucks distributing meals to 4,000 homeless people for their wedding reception on the border town of Kilis. The couple had decided that instead of hosting their friends and family for a traditional feast reception, they would feed the victims from an earthquake-stricken area.

    The idea came from the bridegroom's father, Ted, who volunteers for a Turkish relief organization. For the past few years, the organization has distributed daily meals to thousands of people who've suffered from natural disasters. He approached a representative of the organization and suggested that the family cover part of the costs of feeding them for the day.

    Then he told his son, who was surprised by the suggestion, but soon won over. When he told that to the bride, she was really shocked but finally accepted because in southeastern Turkey there is a real culture of sharing with people in need. They love to share their food, their table and everything they have. And afterwards she was quite amazed about it. So, they arrived at the distribution center on Thursday to spend the day serving food and taking photographs with their grateful recipients（接受者）．

    On Tuesday evening, the newly married couple were still pleased with their decision to quit a personal celebration for one with a greater good. "It's like sharing a dinner with your friends and family who have this kind of thing on a daily basis or sharing something with people who don't even have the most basic things," Michael said. "Hopefully, this will also give the start for other wedding dinners to be held here with our brothers and sisters in need."

    If you do not use your arms or your legs for some time, they become weak. When you start using them again, they slowly become strong again. Everybody knows that. Yet many people do not seem to know that memory works in the same way.

    When someone says that he has a good memory, he really means that he keeps his memory in practice by using it. When someone else says that his memory is poor, he really means that he does not give it enough chance to become strong.

    If a friend says that his arms and legs are weak, we know that it is his own fault. But if he tells us that he has a poor memory, many of us think that his parents are to be blamed(责备), and few of us know that it is just his own fault.

    Have you ever found that some people can't read or write but usually they have better memories? This is because they cannot read or write and they have to remember things; they cannot write them down in a little notebook. They have to remember days, names, songs and stories; so their memory is the whole time being exercised. So if you want to have a good memory, learn from the people: practice remembering.

    You've heard the old advice that skipping meals is a sure-fire way to ruin a weight loss plan, but a new study presented this week at the annual Obesity Society Meeting in New Orleans suggests that perhaps we've overlooked the benefits of selective fasting. According to the research, eating during a smaller window of time each day and skipping your evening meal could have a positive health effect.

    The study concluded that overweight individuals who ate during the day and fasted during the evening reported fewer hunger swings and burned more fat at night, WebMD reported. However, although this diet plan results in more fat burned in the evenings, it did not seem to increase fat burning overall. Due to this, at this moment it's still unclear as to how this eating schedule can affect general weight loss.

    "At this point, we are not sure whether or not total fat burning is increased," study lead author Courtney Peterson told Medical Daily in a recent email." We will need to do a larger study to find out for certain whether or not time-restricted feeding improves fat burning."

    Still, although the results do not indicate a clear association between nighttime fasting and weight loss, they are still important for the world of nutrition. For example, Peterson told Medical Daily that she was surprised to find that participants did not report being hungrier than average, or have above-average swings in hunger levels, despite fasting daily for 18 hours.

    "So we overturned the belief that fasting for longer period each day when the same number of total calories are eaten makes a person hungrier, "wrote Peterson.

    While the effects of fasting and time-restricted feeding have been studied and proven to work in a rodent(贴齿动物)model, research on human subjects is still in its early stages. For this reason, Peterson explained that it is far too early to say, with factual evidence as backing, that time-restricted feeding will improve weight loss in humans. Still, Peterson explained that practicing this eating behavior does have obvious benefits, such as reducing overall food intake, and suggested that practicing time restricted eating a few times a week could be both practicable and healthy.

    "It could be used for short-term goals or longer-term goals，"concluded Peterson." As far as we know，it is safe for adults，although pregnant women and children should not try it."

    News anchors(主播) must have been reluctant to read out the following news: Xin Xiaomeng began working as the world's first female artificial(人工的) intelligence news anchor at Xinhua News Agency on Sunday, three months after a male robot joined the profession.

    Unlike previous news robots though, Xin does not read news like a cold machine; she reads it almost like a human being. The muscles on her face stretch and relax — and her reactions change as she continues reading. That's why many news anchors were worried: Will AI replace us in the near future?

    To find the answer, we have to analyze the technologies that support Xin at her job. Three key technologies are used to support Xin. First, samples of human voices are collected and synthesized (合成). This is followed by the collection and synthesis of human muscle movement samples. And third the voices and movements are married in a way that when the AI news anchor reads, the micro- electric motors behind her face move to make her expressions seem more human.

    Yet we need a thorough knowledge of deep learning technology to make a robot imitate a person's voice. The developer needs to collect tens of thousands of pieces of pronunciations, input them into the machine and match them with the text for the AI to learn and read. The process for imitating facial movements is similar. The developer has to analyze the movements of the 53 muscles in the human face, make a model set from the collected data for the AI news anchor to learn, and imitate the movements of facial muscles via programs

    Both the technologies used to make Xin's performance impressive are mature. The real difficulty lies in the third — the technology to match the pronunciations with facial movements so that Xin's expressions vary according to the content of the news report. In fact, Xin's expressions don't always change according to the content. As a result, her expressions look anything but human. Actually, AI is still no match for human qualities.