Scientists at EPFL have developed a tiny pump that could play a big role in the development of autonomous soft robots, lightweight exoskeletons and smart clothing. Flexible, silent and weighing only one gram, it is poised to replace the rigid, noisy and bulky pumps currently used. The scientists' work has just been published in Nature.
Purdue University researchers have developed a new fabric innovation that allows the wearer to control electronic devices through the clothing.
Recent incidents make clear that we are in a new era in which one nation's economic interdependence on another can be wielded as a political weapon -- a phenomenon described as 'weaponized interdependence' by Henry Farrell (George Washington University) and Abraham L. Newman (Georgetown University) in a new article in International Security.
Kobe University and Alfresa Pharma Corporation develop a novel medical device with non-woven fabric style made of bioabsorbable material.
A team of researchers reports on a dynamically tuneable lens capable of achieving almost any complex optical function.
A Purdue University group has found ways of transforming structures that occur naturally in cell membranes to create other architectures, like parallel 1nm-wide line segments, more applicable to computing.
A new study published in Environmental Science and Policy shows that without adequate and focused policies, many households will rely on air conditioners to adapt to climate change, thus generating even more greenhouse gas emissions.
It's important to determine whether stroke patients also experience atrial fibrillation (Afib). Monitoring technology invented at Michigan Medicine (University of Michigan) could make the process easier and more accurate.
Researchers at Purdue University have discovered a novel set of MYC promoter G-quadruplex stabilizers that have demonstrated anticancer activity in human cancer cell cultures.
New work from Los Alamos National Laboratory, the University of North Carolina at Chapel Hill, and the University of Florida is showing that artificial neural nets can be trained to encode quantum mechanical laws to describe the motions of molecules, supercharging simulations potentially across a broad range of fields.