The overlooked body part you should be training ahead of your next endurance event? Your stomach. Emerging research suggests performance gains aren't just made on the field, but in the gut, too. David ...

All celestial bodies—planets, suns, even entire galaxies—produce magnetic fields, affecting such cosmic processes as the solar wind, high-energy particle transport, and galaxy formation. Small-scale ...

It began small, as some wounds begin ー something like a scratch on Colorado Springs’ northern mountainside. But over 100 years the people below watched it fester, that scratch becoming a scar that ...

Healthiest red meats to eat — and how a cardiologist says to prepare them Trump's latest 'unhinged' attack on a female journalist is 'quite alarming,' experts say US plane used in boat strike was made ...

The icon, who has cowritten a new book on obesity, tells PEOPLE that she doesn't recognize the woman she's become—but she's happier and healthier Jamie Green Oprah Winfrey used to view exercise as a ...

Zomato was not just recovering, it was rebuilding and reinventing, showing signs of maturing as a business. Chaos had been turned into momentum. A fascinating excerpt from Megha Vishwanath's book, ...

When you do not have time to exercise, you need to make time to exercise. I know that sounds easier said than done, but the No. 1 excuse to skip the gym is, “I don’t have time to go to the gym.” The ...

With all those Christmas cookies around, it might be a good idea to get your heart pumping this holiday season. The average American gains a pound or two between Thanksgiving and New Year’s — and ...

Nine to five is still alive. Sort of. A new survey of labour-force data by Amory Gethin of the World Bank and Emmanuel Saez of the University of California, Berkeley finds that the world’s employed ...

Every year at Thanksgiving, inboxes fill with Out of Office replies. Sometimes they’re for happy reasons, family gatherings, holidays or vacation travel. Sometimes they’re not. What if we were honest ...

I am in the process of looking at the GraphWaveNet model and its output information. I am trying to use Captum's integrated gradient analysis to understand each feature's attribute weight on nodes.