Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory and the University of Arkansas have developed a highly efficient catalyst for extracting electrical energy from ethanol, an easy-to-store liquid fuel that can be generated from renewable resources. The catalyst, described in the Journal of the American Chemical Society, steers the electro-oxidation of ethanol down an ideal chemical pathway that releases the liquid fuel's full potential of stored energy.
* This article was originally published here
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Life Technology™ Technology News Subscribe Via Feedburner Subscribe Via Google Subscribe Via RSSSunday, 9 June 2019
Insufficient sleep linked to mental health in college students and athletes
Preliminary results from a new study suggest that there is a dose-response relationship between insufficient sleep and mental health symptoms in collegiate students, including varsity athletes.
* This article was originally published here
* This article was originally published here
Agent Unicorn headset for ADHD children may make understanding easier
The quest for a better understanding among scientists of children with attention deficit hyperactivity disorder (ADHD) goes on.
* This article was originally published here
* This article was originally published here
Investigating the implications of social robots in religious contexts
Researchers at Siegen University and Würzberg University, in Germany, have recently carried out a study investigating the user experience and acceptability associated with the use of social robots in religious contexts. Their paper, published in Springer's International Journal of Social Robotics, offers interesting insight into how people perceive blessing robots compared to other robots for more conventional purposes.
* This article was originally published here
* This article was originally published here
Evolving neural networks with a linear growth in their behavior complexity
Evolutionary algorithms (EAs) are designed to replicate the behavior and evolution of biological organisms while solving computing problems. In recent years, many researchers have developed EAs and used them to tackle a variety of optimization tasks.
* This article was originally published here
* This article was originally published here
Somebody's watching you: The surveillance of self-driving cars
Picture the future, where driving is a thing of the past. You can hop in your car or one from a ride-share, buckle up and tell the car where you want to go. During your ride, you can check your email and look up a few things online through your dashboard. Meanwhile, your whereabouts and other details are being tracked remotely by companies. As self-driving cars develop further, autonomous vehicles will play a much larger role in the digital economy as car companies and others harness personalized customer information through geospatial and navigation technologies, combining it with existing financial consumer profiles, according to a study in Surveillance and Society.
* This article was originally published here
* This article was originally published here
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