Imagine that you're looking at your company-issued smartphone and you notice an e-mail from Linkedln:“These companies are looking for candidate like you!” You aren't necessarily searching for a job, but you're always open to opportunities, so out of curiosity, you click on the link. A few minutes later your boss appears at your desk. “We've noticed that you're spending more time on Linkedln lately, so I wanted to talk with you about your career and whether you're happy here,” she says Uh-oh.

    It's an awkward scene. Attrition(损耗) has always been expensive for companies, but in many industries the cost of losing good workers is rising, owing to tight labor markets. Thus companies are making greater efforts to predict which workers are at high risk of leaving so that managers can try to stop them. Methods range from electronic monitor to sophisticated analyses of employees' social media lives.

    Some of this work may be a reason to let employees to quit. In general, people leave their jobs because they don't like their boss, don't see opportunities for promotion or growth, or are offered a higher pay; these reasons have held steady for years.

    New research conducted by CEB, a Washington-based technology company, looks not just at why workers quit but also at when. “We've learned that what really affects people is their sense of how they're doing compared with other people in their peer group, or with where they thought they would be at a certain point in life, says Brian Kropp, who heads CEB's HR practice. “We've learned to focus on moments that allow people to make these comparisons.”

    Technology also provides clues about which star employees might be eyeing the exit. Companies can tell whether employees using work computers or phones are spending time on (or even just opening e-mails from) career websites, and research shows that more firms are paying attention to these things. Large companies have also begun tracking badge swipes(浏览痕迹)—employees' use of an ID to enter and exit the building or the parking garage—to identify patterns that suggest a worker may be interviewing for a job.

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    The FBI is investigating the disappearance of a visiting Chinese scholar from a central Illinois university town as a kidnapping(绑架) as her whereabouts(下落) have remained unknown since Friday.

    Zhang Yingying, 26, was last seen on June 9 near the north end of the campus of the University of Illinois at Urbana-Champaign (UIUC), wearing a charcoal-colored baseball cap, a pink and white top, jeans and white tennis shoes and carrying a black backpack. She boarded a Champaign-Urbana Mass Transit District bus and exited the West Springfield and North Mathews avenues at 1:52 pm local time (1852 GMT), police said.

    The FBI has labeled the case as a kidnapping but isn't ruling out anything, said Campus police spokesman Patrick Wade. The suspect appears to be a white male who was in a car and stopped to talk to Zhang on Friday afternoon, the FBI said. Almost one month into a year long appointment at the UIUC campus, Zhang's friends told police that she was heading to an apartment complex in Urbana to sign a lease(租约).

    Security camera footage(连续镜头) on Monday released by university police showed that Zhang talked to the driver of a black Saturn Astra, about five blocks from where she got off a bus in Urbana on Friday afternoon. She entered the car shortly thereafter. Zhang has not been seen or heard from since then and attempts to contact her by phone remain unsuccessful. Authorities have asked the public to help identify that vehicle.

    A massive search has been launched in Urbana in the US state of Illinois since Zhang's disappearance. Police are interviewing with her colleagues, checking local hospitals and coordinating with ride hailing(打车) companies as part of their investigative efforts.

    In an interview with Xinhua through Wechat on Thursday, Zhang Ronggao, father of the ,missing visiting scholar from china's Fujian Province, expressed gratitude to all the people involved in the search and asked US police to accelerate the search.

    Last year, around Labor Day, I read a “Happy Ad” in our local newspaper. There was a lady in a local nursing home for the aged, who was celebrating her 90th birthday and her family wanted everyone to know about it. It said that if you wanted to drop her a line, here was her address. So I did. I found a birthday card and dropped her a short note, wishing her a happy birthday.

    A week or so later, someone knocked at my front door. I opened the door and found a middle-aged man standing on my doorstep. He introduced himself as the son of this woman to whom I had sent the card. He explained that he just wanted to drop by in person and thank me for sending such a nice card to his mom. Apparently, like many older folks, she did not receive much mail and was quite excited to receive mine. I just didn't know what to say. I told him it was my pleasure and that I hoped his mom had enjoyed her birthday.

    That year, I did not send out any Christmas cards, except to this lovely old lady in the nursing home. I just told her that I was thinking about her and hoped that she had a nice holiday. I sent her a holiday card and also a couple of notes in between. I just thought she might like to have someone write to her, to get some mails.

    She passed away a couple of months ago. I never met this lady, but I did keep her and her family in my thoughts. I dropped them a line of sympathy. I hope that my few little notes were enough to brighten a couple of her days here on earth.

    Crossing your legs is an extremely common habit. While you may find it comfortable to sit with one knee crossed over the other, it might be causing health problems that you are not aware of.

    A study published in Blood Pressure Monitoring stated that sitting with your legs crossed can increase your blood pressure. The reason this happens is because the blood in your legs has to work against gravity to be pumped back to your heart, crossing one leg over the other increases resistance, making it even harder for the blood to circulate. You won't feel any immediate effects, but sitting for long periods of time will hurt you forever.

    Crossing your legs can also lead to neck and back pain. Ideally, it's best for our bodies to sit with our feet planted flat, hip width apart, on the floor, but it's not easy to maintain perfect posture all day at the office. When you sit with your legs crossed your hips are in a twisted position, which can cause one of your pelvic bones(骨盆) to rotate. Since your pelvic bone supports your neck and spine（脊椎）, this can cause pressure on your lower and middle back and neck.

    You also might notice that when you sit with your legs crossed for long periods of time your feet and legs get painful or have the feeling of being asleep. This is because when one leg sits on top of the other it causes pressure on the veins（静脉） and nerves in your legs and feet. It can cause numbness and/or temporary paralysis in the legs, ankles, or feet. While the feeling of discomfort may only last a minute or two, repeatedly crossing your legs until they feel numb can cause permanent nerve damage.

    So next time you sit down, try to get yourself in the habit of sitting with both of your feet on the floor. Not only will it help your posture and stability, but it will also save your health in the long run.

    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."

    Misael is three times the size of other children at his age due to a symdrome(综合症 状) which means he is unable to stop eating.

    He is so heavy that he often stops breathing while sleeping — leaving his parents fearing that one day he may not wake up. His dad Manoel Abreu, 38, said, "Everything is hard for him — he is a baby carrying an adult's weight. His heart must be working under a lot of pressure. If he doesn't get the treatment he requires, there is a very good chance that he will pass away."

    Miseal, from Sanot, Brazil, was born a healthy 6lb 6oz, but immediately he started piling on the pounds. Doctors believe he may be suffering from Prader-Willi symdrome, a rare genetic condition that leaves him with greed. He now weighs a heavy 178lb and is still gaining despite following a low-fat diet and walking for 40 minutes each day.

    Mum Josiane, 37, said, "He has been putting on a lot of weight since he was a baby—even when I was breastfeeding him. But it was only when he was one and a half years old that we began to worry. He was gaining 3kg a month and was starting to get very heavy. We know we could lose him at any time. Sometimes when he is sleeping, I watch him to see if he is breathing. I cry a lot because we want to help him. But I am also very proud of him because he doesn't surrender(投降)."

    Misael visits a doctor every three months to try to control his condition, but currently there is no cure for Prader-Willi symdrome. Paediatric neurologist(儿科神经科专家)

    Lucio said, "Every time we meet, he has put on a lot of weight — sometimes up to 5 kg. I think Misael could get help from someone outside Brazil — both medically and financially — so that he can get the laboratory and genetic testing he needs."