The researchers say a person loses two months for every kilogram overweight they are— and seven years for smoking a packet of cigarettes a day.

    Unusually, the Edinburgh university team found their answers by analysing differences in people's genetic code or DNA. Finally they think it will show new ways of helping us to live longer.

    The group used the genetic code of more than 600, 000 people who are taking part in a natural experiment. If someone smokes, drinks, drops out of school and is overweight, it can be difficult to identify the impact of one specific unhealthy behavior.

    Instead, the researchers turned to the natural experiment. Some people carry mutations(变异) in their DNA that increase(食欲) or make them more likely to put on weight, so researchers were able to compare those programmed to eat more with those who were not. The research team also found specific mutations in human DNA that alter lifespan (寿命).

    Mutations in a gene (a set of instructions in DNA) that is involved in running the immune system could add seven months of life on average.

    People with a mutation that increased levels of bad cholesterol knocked eight months off lifespan.

    A rare mutation in a gene—APOE—linked to dementia reduced lifespan by 11 months.

    And one that made smoking more appealing cut lives by five months.

    Dr Joshi says that while genes do influence lifespan, “you've got even more influence” through the choices you make. Dr Joshi said, “We hope to discover genes affecting lifespan to give us new information about ageing and construct treatment tor ageing.”

    There are also some disease mutations that clearly affect lifespan and to destructive effect, such as the Huntington's gene. People with Huntington's often die in their 20s.

    However, in order to follow people until the end of their lives, many of the people studied were born before 1940.

    Girls who lack confidence in school have a new champion. She is only 10 years old. Alice Tapper, a fifth - grader says, that her goal is to encourage girls of all ages to “be more confident in raising their hands”. Alice cared so much about the issue (问题) that she helped create a Girl Scout badge (徽章).

    The pink badge—Alice chose her favorite color—shows three hands reaching for the sky. It says, “Be brave. Raise your hand.”

    Alice's idea came during a fourth - grade field trip to Jamestown, Virginia. She found that boys raised their hands to answer questions even though they weren't sure of the answers. The girls just listened quietly.

    “Girls are afraid to raise their hands because they get shy. They have to be 90 percent sure, while boys just raise their hands and say, 'I know it,'” Alice said during a recent interview. She added that girls should have confidence, step up, and become leaders by raising their hands for women are equal to men.

    Alice's “Raise Your Hand” badge has become wildly popular, and not just in the United States. “People in Japan and China want to use the badge,” she said. “We sold out the badge quickly, but we're making more.”

    Alice wants to be a teacher when she grows up. But first, she wants to see a revolution in confidence for girls of all ages. She knows that won't happen overnight. “ It takes time,” Alice said, “but I can speed up the process.”

    Siri, whose voice do you have?

    The question has interested millions of Apple iPhone and iPad fans, who use the devices' Siri function for help with everything from finding restaurants and directions to organize their day.

    On Friday, CNN reported it had discovered the original voice. The person had never before been identified publicly.

    The network named Susan Bennett, a voice-over actress（配音演员）from Atlanta in the US, as the voice behind Siri, which was first introduced on Apple's iPhone 4s in 2011.

    "I'm the voice actor who provided the voice of Siri," Bennett told CNN in an interview.

    Bennett told the network she worked four hours a day for the entire month of July 2005 recording in her home. She said she was paid by the hour but would not reveal the amount.

    "A colleague emailed me and said, 'Hey, we've been playing around with this new Apple phone. Isn't this you?'" Bennett told CNN.

    Her voice may also be familiar to airline passengers who have passed through a Delta Airlines terminal.

    Bennett also provided the radio and TV voice of First National Bank's "Tillie the All-Time Teller", the first ATM machine, she told CNN.

    "I began my career as a machine many years ago," Bennett told the network. "I'm sure that you hear my voice at some point every day."

    Motherhood may make women smarter and may help prevent dementia (痴呆) in old age by bathing the brain in protective hormones (荷尔蒙) , U.S. researchers reported on Thursday.

    Tests on rats show that those who raise two or more litters of pups do considerably better in tests of memory and skills than rats who have no offsprings, and their brains show changes that suggest they may be protected against diseases such as Alzheimer's (早老痴呆症). University of Richmond psychology professor Craig Kinsley believes his findings will translate into humans.

“Our research shows that the hormones of pregnancy are protecting the brain, including estrogen(雌激素), which we know has many neuroprotective (保护神经的) effects,” Kinsley said.

    “It's rat data but humans are mammals just like these animals are mammals,” he added in a telephone interview. “They go through pregnancy and hormonal changes.”

    Kinsley said he hoped public health officials and researchers will look to see if having had children protects a woman from Alzheimer's and other forms of age-related brain decline.

    “When people think about pregnancy, they think about what happens to babies and the mother from the neck down,” said Kinsley, who presented his findings to the annual meeting of the Society of Neuroscience in Orlando, Florida.

    “They do not realize that hormones are washing on the brain. If you look at female animals who have never gone through pregnancy, they act differently toward young. But if she goes through pregnancy, she will sacrifice her life for her infant—that is a great change in her behavior that showed in genetic alterations to the brain.”

    In 2009 a new flu virus was discovered. Combining elements of the viruses that cause bird flu and swine flu, this new virus, named H1N1, spread quickly. Within weeks, public health agencies around the world feared a terrible pandemic (流行病) was under way. Some commentators warned of an outbreak on the scale of the 1918 Spanish flu. Worse, no vaccine(疫苗) was readily available. The only hope public health authorities had was to slow its spread. But to do that, they needed to know where it already was.

    In the United States, the Centers for Disease Control and Prevention (CDC) required that doctors inform them of new flu cases. Yet the picture of the pandemic that showed up was always a week or two out of date. People might feel sick for days but wait before consulting a doctor. Relaying the information back to the central organizations took time, and the CDC only figured out the numbers once a week. With a rapidly spreading disease, a two-week lag is an eternity. This delay completely blinded public health agencies at the most urgent moments.

    Few weeks before the H1N1 virus made headlines, engineers at the Internet giant Google published a paper in Nature. It got experts' attention but was overlooked. The authors explained how Google could "predict" the spread of the winter flu, not just nationally, but down to specific regions and even states. Since Google receives more than three billion search queries every day and saves them all, it had plenty of data to work with.

    Google took the 50 million most common search terms that Americans type and compared the list with CDC data on the spread of seasonal flu between 2003 and 2008. The idea was to identify areas affected by the flu virus by what people searched for on the Internet. Others had tried to do this with Internet search terms, but no one else had as much data-processing power, as Google.

    While the Googles guessed that the searches might be aimed at getting flu information—typing phrases like "medicine for cough and fever"—that wasn't the point: they didn't know, and they designed a system that didn't care. All their system did was look for correlations(相关性) between the frequency of certain search queries and the spread of the flu over time and space. In total, they processed 450 million different mathematical models in order to test the search terms, comparing their predictions against actual flu cases from the CDC in 2007 and 2008. And their software found a combination of 45 search terms that had a strong correlation between their prediction and the official figures nationwide. Like the CDC, they could tell where the flu had spread, but unlike the CDC they could tell it in near real time, not a week or two after the fact.

    Thus, when the H1N1 crisis struck in 2009, Google's system proved to be a more useful and timely indicator than government statistics with their natural reporting lags. Public health officials were armed with valuable information.

    Strikingly, Google's method is built on "big data"—the ability of society to handle information in new ways to produce useful insights or goods and services of significant value. However,   ▲  . For example, in 2012 it identified a sudden rise in flu cases, but overstated the amount, perhaps because of too much media attention about the flu. Yet what is clear is that the next time a pandemic comes around, the world will have a better tool to predict and thus prevent its spread.

In 2019, after retiring from her career as a social worker, Ane Freed-Kernis decided to build a home workshop and devote all of her free time to stone carving. "I might be covered head to toe in dust but I'm happy—it was something I needed more of in my life when I hit 60," she says.

This appeal has its origins in Freed-Kernis' childhood. Growing up on her father's farm in Denmark, she used to wander through the fields with her eyes fixed on the ground, looking for stones to add to her collection. "I've always been drawn to the shapes and textures（质地）of stones," she says.

After moving to England in 1977 and training as a social worker, Freed-Kernis soon became occupied with her busy career and the demands of raising her son. Stones were the last thing on her mind, until her father died in 2005. "He took a stone carving course in his retirement, and I always thought stone seemed so fun but never had the time to look into it myself," she says. "After he died, I became determined to learn in his honour."

Signing up for a week-long stone carving course at Yorkshire Sculpture Park, Freed-Kernis began to learn how to turn a block of rock into well-designed shapes. "It was really scary at the start because you would spend hours just hammering（锤打）."

Now 65, Freed-Kernis has a thriving small business built largely through word of mouth. She creates 12 to 15 pieces a year that can take anywhere from a few days to three weeks to complete, while her prices range from £200 to £3, 000. "I'm making smaller ones," she says. "I don't have to depend on the money much, so I want to keep prices in the range that people can afford, mainly just covering costs and labour（劳动力）."