Microplastics—the tiny particles of plastic shed when litter breaks down—are everywhere, from the deep sea to Mount Everest, and many researchers worry that they could harm human health.
In a recent study, researcher Anandasankar Ray at the University of California, Riverside, and his team employed machine learning techniques combined with cheminformatics to predict novel mosquito repellents that could greatly ...
Researchers led by Prof. Li Nuo from the Xinjiang Institute of Ecology and Geography of the Chinese Academy of Sciences have developed a method to simulate the concentrations of unmeasured geochemical elements in rock and ...
How many people will travel during a given week between two specific cities? Answering this question is important for many reasons, for example, to design efficient public transport infrastructures, or, as was the case during ...
Molecular crystal polymorphism does not sound like something you want in your kitchen, but you've probably had experience with it. Like that time you left a chocolate bar lying around for months, only to find it looking weird ...
Computer analysis of geospatial data could be made more environmentally-friendly thanks to a groundbreaking new software model built by a team of scientists from a Scottish university.
Rising temperatures and intensifying drought continue to worsen with the global climate crisis. According to the World Health Organization, an estimated 55 million people worldwide are affected by drought each year—a number ...
Can artificial intelligence help us understand what animals feel? A pioneering study suggests the answer is yes. Researchers from the Department of Biology at the University of Copenhagen have successfully trained a machine-learning ...
Dairy and meat are two common sources of foodborne illness in the U.S.
Understanding where farm animals are raised is crucial for managing their environmental impacts and developing technological solutions, but gaps in data often make it challenging to get the full picture.
