The team created a new tool that reduces bias and improves cancer diagnosis across populations

An emerging technology lets EV drivers tap into energy from their vehicles' batteries to help manage power to their homes and could provide serious economic and environmental benefits.

The quality and quantity of carbohydrates in the diet play a decisive role in the development of dementias. This is according to a combined study carried out by the Nutrition and Metabolic Health (NuMeH) research group of the Universitat Rovira i Virgili (URV), the Centre for Environmental, Food and Toxicological Technology (TecnATox), and the Pere Virgili Health Research Institute (IISPV). The results of this research have been published in the scientific journal International Journal of Epidemiology.

A new class of ceramics are not only transparent, but they can control light with exceptional efficiency — better than any theories predicted. Now, an advanced theory put forth by researcher at Penn State may explain why this material is so good at light control, which could lead to large-scale manufacturing of these materials for faster, smaller and more energy efficient technologies used in high-speed communications, medical imaging and advanced sensing. 

Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can reduce fruit yields. However, physically removing weeds is not only labor-intensive, but it also can damage soil structure and tree roots. Using chemical sprays to kill weeds can lead to other problems, such as pollution, herbicide resistance and excess chemical residues on apples. Another option called precision weed management — detecting and measuring weeds with high accuracy then applying small amounts of herbicide to control them efficiently — can help farmers avoid wasting chemicals or causing injury to crops or the environment, according to a team of researchers at Penn State. To help growers achieve such precise management, the researchers are developing an automated, robotic weed-management system.