Imagine that you're looking at your company-issued smartphone and you notice an e-mail from Linkedln: “These companies are looking for candidates 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 well-designed 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 searching for 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.

    Getting late for a meeting, I need to run,” he said, as he put his coat over the shoulder and rushed out of the house. As he drove away, she came running down the stairs two at a time. “Wait, wait,” she shouted, but he had already left.

    “He forgot to give me a goodbye kiss,” she said in a low, sad voice that shook under the weight of the hurt. She called him and said, “You left without giving me a kiss.” “I am sorry, sweetheart,” he said, his voice shaking. “It is okay,” she said, trying to be all grown-up as she cut the call.

    She ate her breakfast quickly, put on her shoes, picked up her school bag and started to walk out of the door. Her shoulders were slumped(耷拉) and her eyes were filled with tears. As she climbed down the steps, a car came to a stop outside the house. He got out of the car. She ran to him.

    “I am sorry I forgot,” he said, as he picked her up and hugged her. She said nothing. Her jaw ached from smiling.

    Fifteen years later, no one would remember he was late for a meeting, but a little girl would never ever forget that her father drove all the way back home just to kiss her goodbye!

    What is more important, work or family? Some parents always put work before everything. But some put family first. Remember, the company will run the same without you and your colleagues(同事) may forget you soon after you leave. But you are everything to your children.

    The Poetry Foundation, recently named American poet Jack Prelutsky as the nation's first children's poet laureate (桂冠诗人). The group created the award as a way to increase children's love of poetry.

    As children's poet laureate, Jack Prelutsky will give two public readings in the next two years. He will also advise the Poetry Foundation about children's literature and take part in projects concerning children and poetry.

    Jack Prelutsky has been writing poetry for children for over forty years. He has written more than thirty five books of poems. His first book was called A Gopher in the Garden. It was published in 1967. His latest is called Behold the Bold Umbrellaphant and Other Poems.

    Jack Prelutsky is well known for creating new words by combining two words to create a new kind of creature. For example, he combined "radish" with "shark" to get "radishark". "Lion" and "broccoli" became "broccolion". He also created "umbrellaphant"， a mixture of the words "umbrella" and "elephant".

    Jack Prelutsky says that children like his poems because he writes about things they care about. Poetry researchers say that Jack Prelutsky's poems recognize children's feelings. An example of this is the poem My Sister Is a Werewolf which is about how it feels to be different.

    Jack Prelutsky also writes poems about American holidays. His poem It's Halloween is a very famous one about the holiday celebrated at the end of October.

    One evening in February 2007, a student named Paula Ceely brought her car to a stop on a remote road in Wales. She got out to open a metal gate that blocked her path. That's when she heard the whistle sounded by the driver of a train. Her Renault Clio was parked across a railway line. Seconds later, she watched the train drag her car almost a kilometre down the railway tracks.

    Ceely's near miss made the news because she blamed it on her GPS device. She had never driver the route before. It was dark and raining heavily. Ceely was relying on her GPS, but it made no mention of the crossing. "I put my complete trust in the device and it led me right into the path of a speeding train," she told the BBC.

    Who is to blame here? Rick Stevenson, who tells Ceely's story in his book When Machines Fail Us, points the finger at the limitations of technology. We put our faith in digital devices, he says, but our digital helpers are too often not up to the job. They are filled with small problems. And it's not just GPS devices: Stevenson takes us on a tour of digital disasters involving everything from mobile phones to wireless keyboards.

    The problem with his argument in the book is that it's not clear why he only focuses on digital technology, while there may be a number of other possible causes. A map-maker might have left the crossing off a paper map. Maybe we should blame Ceely for not paying attention. Perhaps the railway authorities are at fault for poor signaling system. Or maybe someone has studied the relative dangers and worked out that there really is something specific wrong with the GPS equipment. But Stevenson doesn't say.

    It's a problem that runs through the book. In a section on cars, Stevenson gives an account of the advanced techniques that criminals use to defeat computer-based locking systems for cars. He offers two independent sets of figures on car theft; both show a small rise in some parts of the country. He says that once again not all new locks have proved reliable, Perhaps, but maybe it's also due to the shortage of policemen on the streets. Or changing social circumstances. Or some combination of these factors.

    The game between humans and their smart devices is amusing and complex. It is shaped by economics and psychology and the cultures we live in. Somewhere in the mix of those forces there may be a way for a wiser use of technology.

    If there is such a way, it should involve more than just an awareness of the shortcomings of our machines. After all, we have lived with them for thousands of years. They have probably been fooling us for just a. s long.

Something Fun

    A person is on trial for murder in a court room in Oklahoma. There is strong evidence indicating that he is guilty（有罪的）. However, the body is not found.

    In the defense's (辩护方) closing speech, the lawyer, knowing that his client (委托人) is guilty and that it looks like he'll probably be seriously punished, decided to play a clever trick.

    "Ladies and gentlemen of the jury (陪审团), I have a surprise for you all," the lawyer says as he looks at his watch. "Within one minute, the person assumed dead in this case will walk into this court room," he says and he looks towards the court-room door. The jury, somewhat surprised, looks at the door eagerly. A minute passes. Nothing happens.

    Finally the lawyer says, "Actually, I made up the previous statement. But you all waited with expectation. I, therefore, put it to you that there is a reasonable doubt in this case as to whether anyone was killed and insist that you pass a judgment of not guilty."

    The jury, clearly confused, back off to discuss.

    A very few minutes later, the jury returned and one of them pronounces a verdict (裁决) of guilty.

    "But how?" asks the lawyer in surprise  "You must have had some doubt; I saw all of you stare at the door."

    Answers the jury member, "Oh, we did look. But your client didn't."

    For thousands of years, people have known that the best way to understand a concept is to explain it to someone else. "While we teach, we learn," said Roman philosopher Seneca. Now scientists are bringing this ancient wisdom up to date. They're documenting why teaching is such a fruitful w ay to learn, and designing creative ways for young people to take part in instruction.

    Researchers have found that students who sign up to tutor others work harder to understand the material, recall it more accurately and apply it more effectively. Student teachers score higher on tests than pupils who're learning only for their own sake. But how can children, still learning themselves, teach others? One answer: They can tutor younger kids. Some studies have found that first-born children are more intelligent than their later-born siblings(兄弟姐妹). This suggests their higher IQs result from the time they spend teaching their siblings. Now educators are experimenting with ways to apply this model to academic subjects. They arrange college undergraduates to teach computer science to high school students, who in turn instruct middle school students on the topic.

    But the most cutting-edge tool under development is the "teachable agent" — a computerized character who learns, tries, makes mistakes and asks questions just like a real-world pupil.

    Computer scientists have created an animated(动画的)figure called Betty's Brain, who has been "taught" about environmental science by hundreds of middle school students. Student teachers are inspired to help Betty master certain materials. While preparing to teach, they organize their know ledge and improve their own understanding. And as they explain the information to it, they identify problems in their own thinking.

    Feedback from the teachable agents further improves the tutors' learning. The agents' questions forces student tutors to think and explain the materials in different ways, and watching the agent solve problems allow s them to see their know ledge put into action.

    Above all, it's the emotions one experiences in teaching that improve learning. Student tutors feel upset when their teachable agents fail, but happy when these virtual pupils succeed as they develop pride and satisfaction from someone else's accomplishment.