Bad news sells.If it bleeds,it leads.No news is good news,and good news is no news.Those are "the classic rules for the evening broadcasts and the morning papers.But now that information is being spread amt monitored（监控）in different ways,researchers are discovering new rules.By tracking people's e-mails and online posts,scientists have found that good news can spread faster and farther than disasters and sob stories.

    "The ‘if it bleeds 'rule works for mass media,"says Jonah Berger,a scholar at the University of Pennsylvania. "They want your eyeballs and don't care how you're feeling.But when you share a story with your friends,you care a lot more how they react.You don't want them to think of you as a Debbie Downer."

    Researchers analyzing word-of-mouth communication—e-mails,Web posts and reviews,face-to-face conversations—found that it tended to be more positive than negative,but that didn't necessarily mean people preferred positive news.Was positive news shared more often simply because people experienced more good things than bad things?To test for that possibility,Dr.Berger looked at how people spread a particular set of news stories: thousands of articles on The New York Times' website.He and a Penn colleague analyzed the "most e-mailed" list for six months.One of his first findings was that articles in the science section were much more likely to make the list than non-science articles.He found that science amazed Times' readers and made them want to share this positive feeling with others.

    Readers also tended to share articles that were exciting or funny,or that inspired negative feelings like anger or anxiety,but not articles that left them merely sad.They needed to be aroused（激发）one way or the other,and they preferred good news to bad.The more positive an article,the more likely it was to be shared as Dr.Berger explains in his new book,"Contagious: Why Things Catch On."

    John is a mechanic, but he lost his job a few months ago. He has good heart, but always feared applying for a new job.

    One day, he gathered up all his strength and decided to attend a job interview. His appointment was at 10 am and it was already 8:30. While waiting for a bus to the office where he was supposed to be interviewed, he saw an elderly man wildly kicking the tyre(轮胎) of his car. Obviously there was something wrong with the car. John immediately went up to lend him a hand. When John finished working on the car, the old man asked him how much he should pay for the service. John said there was no need to pay him; he just helped someone in need, and he had to rush for an interview. Then the old man said, "Well, I could take you to the office for your interview. It's the least I could do. Please. I insist." John agreed.

    Upon arrival, John found a long line of applications waiting to be interviewed. John still had some grease(油脂) on him after the car repair, but he did not have much time to wash it off or have a change of shirt. One by one, the applicants left the interviewer's office with disappointed look on their faces. Finally his name was called. The interviewer was sitting on a large chair facing the office window. Rocking the chair back and forth, he asked, "Do you really need to be interviewed?" John's heart sank. "With the way I look now, how could I possibly pass this interview?" he thought to himself.

    Then the interviewer turned the chair and to John's surprise, it was the old man he helped earlier in the morning. It turned out he was the General Manager of the company.

    "Sorry I had to keep you waiting, but I was pretty sure I made the right decision to have you as part of our workforce before you even stepped into the office. I just know you'd be a trustworthy worker. Congratulations!" John sat down and they shared a cup of well-deserved coffee as he landed himself a new job.

    In the tenth grade, I began working for free at a vet's that was run by a friend. I wanted to get experience for what I thought would be my future job. However，on one particular Saturday morning I learnt something perhaps more important.

    The hospital was in the middle of one of the poorer sections of the city and some people could only pay for the most basic treatments. On this Saturday，a man and his young son，who was probably about 7 years old，walked in with a small cat in a cardboard box. There was something wrong with the cat's left eye. But the man could not afford to pay for the cost of the medicine. He kept quiet for a while，and then he asked where the nearest animal shelter was. Hearing this，his son cried and started to argue with him. All of a sudden，an older woman who was sitting in the waiting room stood up，walked up to the counter，and told the man that she would pay for the cost. The man thanked her and the son got to keep a healthy cat.

    I always thought it was the right thing to help out a needy person，but I only saw people do acts of kindness on TV or in movies. What the woman did made me believe that these things do happen in real life，and quite often.

    Now，when I can't decide whether to help someone who is in need，I remember this woman，and then I have the courage to step up to the plate. Sometimes other people follow.

    What makes a gift special？Is it the price you see on the gift receipt？Or is it the look on the recipient's face when they receive it that determines the true value? What gift is worth the most?

    This Christmas I was debating what to give my father. My dad is a hard person to buy for because he never wants anything. I pulled out my phone to read a text message from my mom saying that we were leaving for Christmas shopping for him when I came across a message on my phone that I had locked. The message was from my father. My eyes fell on a photo of a flower taken in Wyoming, and underneath a poem by William Blake. The flower, a lone dandelion standing against the bright blue sky, inspired me. My dad had been reciting those words to me since I was a kid. That may even be the reason why I love writing. I decided that those words would be my gift to my father.

    I called back. I told my mom to go without me and that I already created my gift. I sent the photo of the cream-colored flower to my computer and typed the poem on top of it. As I was arranging the details another poem came to mind. The poem was written by Edgar Allan Poe； my dad recited it as much as he did the other. I typed that out as well and searched online for a background to the words of it. The poem was focused around dreaming, and after searching I found the perfect picture. The image was painted with blues and greens and purples, twisting together to create the theme and wonder of a dream. As I watched both poems passing through the printer, the white paper coloring with words that shaped my childhood. I felt that this was a gift that my father would truly appreciate.

    Christmas soon arrived. The minute I saw the look on my dad's face as he unwrapped those swirling black letters carefully placed in a cheap frame, I knew I had given the perfect gift.

Tests have shown robots can diagnose heart problems in as little as four seconds, as a review of artificial intelligence (AI) finds machines are now as good at spotting illness as doctors.

Analyzing a patient's heart function on a cardiac MRI (心脏磁共振成像) scan currently takes doctors around 13 minutes. But a new trial by University College London (UCL) showed an AI program could read the scans in less time with equal accuracy. There are approximately 150,000 such scans performed in the UK each year, and researchers estimate that fully using AI to read them could save 54 clinician-days (临床天数) at each cardiac centre per year. So it can make up for the shortage of doctors.

It is hoped that AI where computer systems are able to learn from data to identify new patterns with minimal human intervention will transform medicine by helping doctors spot diseases such as heart disease and cancer faster and earlier. However, most scans are still read by specially trained doctors.

Dr Charlotte Manisty, who led the UCL research, said, "Cardiovascular MRI offers in- comparable image quality for assessing heart structure and function. However, current manual analysis remains basic and outdated. Automated machine techniques offer the potential to change this and completely improve efficiency and accuracy, and we look forward to further research that could confirm the superiority to human analysis."

She added, "Our dataset of patients with a range of heart disease who received scans enabled us to demonstrate that the greatest sources of measurement errors arise from human factors. This indicates that automated techniques are at least as good as humans, with the potential soon to be 'super-human'—transforming clinical and research measurement precision."

Professor Alastair Denniston said, "Within those handful of high-quality studies, we found that by deep learning AI could indeed detect disease ranging from cancer to eye disease as accurately as health professionals. But it's important to note that it did not absolutely exceed human professional diagnosis. "

I was standing in the checkout line behind a woman who looked to be in her 60s. When it was her turn to pay, the cashier greeted her by name and asked her how she was doing.

The woman looked down, shook her head and said: "Not so good. My husband just lost his job. The truth is, I don't know how I'm going to get through these days." Then she gave the cashier food stamps (食品券).

My heart ached. I wanted to help but didn't know how. Should I offer to pay for her groceries, or ask for her husband's resume (简历)?

Walking into the parking lot, I spotted the woman returning her shopping cart. I remembered something in my purse that I thought could help her. It wasn't a handful of cash or an offer of a job for her husband, but maybe it would make her life better.

"Excuse me," I said, my voice trembling a bit. "I couldn't help overhearing what you said to the cashier. It sounds like you're going through a really hard time right now. I'm so sorry. I'd like to give you something."

I handed her the small card from my purse. When the woman read the two words "You Matter" on the card, she began to cry. And through her tears, she said: "You have no idea how much this means to me."

I was a little startled by her reply. Having never done anything like this before, I didn't know what kind of reaction I might receive. All I could think to say was: "Would it be OK to give you a hug?"

A few days earlier, one of my workmates gave a similar card to me as encouragement for a project I was working on. When I read the card, I felt a warm glow spread inside of me. Deeply touched, I ordered my own box of "You Matter" cards and started sharing them.