A new study looked at changes in children's academic performance after major bushfires in Australia. The study concluded that children in regions affected significantly by bushfires demonstrated poorer academic outcomes in some subjects than children in regions that were less severely affected by the fires.
Researchers from Higher School of Economics analyzed 62 million public posts on the most popular Russian social networking site VK and found that both men and women mention sons more often than daughters. They also found that posts featuring sons receive 1.5 times more likes. The results have been published in the Proceedings of the National Academy of Sciences of the United States of America.
A study from Gero longevity company shows that smoking cessation leads to rejuvenation that can be monitored by a mobile phone app.
A team including researchers from Osaka University looked to nature for inspiration in designing more effective wireless sensor networks. First, they recorded the vocal interplay of neighboring tree frog calls, which they found allowed tradeoff time for individual communication, though this is interspersed with more random collective silence and choruses. They mathematically modeled these patterns and effectively applied their model toward the control of a wireless sensor network.
The population of Antarctic krill, the favorite food of many whales, penguins, fish and seals, shifted southward during a recent period of warming in their key habitat, a paper published today in Nature Climate Change reports.
New research has revealed that people's behavior is predictable from the social media data of as few as eight or nine of their friends.
New research shows that on social media, like Facebook, privacy can be at risk, even if a person doesn't have an account. Scientists at the University of Vermont demonstrated that a person's identity and actions can be predicted from their friend's posts and writings online.
Scientists at EPFL and ETH Zurich have developed tiny elastic robots that can change shape depending on their surroundings. Modeled after bacteria and fully biocompatible, these robots optimize their movements so as to get to hard-to-reach areas of the human body. They stand to revolutionize targeted drug delivery.
Researchers have developed an intelligent system for 'tuning' powered prosthetic knees, allowing patients to walk comfortably with the prosthetic device in minutes, rather than the hours necessary if the device is tuned by a trained clinical practitioner. The system is the first to rely solely on reinforcement learning to tune the robotic prosthesis.
A recent study has found that a specific gene in cancerous prostate tumors indicates when patients are at high-risk for the cancer to spread, suggesting that targeting this gene can help patients live longer.