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A little friction goes a long way toward stronger nanotube fibers
Carbon nanotube fibers are not nearly as strong as the nanotubes they contain, but Rice University researchers are working to close the gap. A computational model by materials theorist Boris Yakobson and his team at Rice's Brown School of Engineering establishes a universal scaling relationship between nanotube length and friction between them in a bundle, parameters that can be used to fine-tune fiber properties for…
Light-induced twisting of Weyl nodes switches on giant electron current
Scientists at the U.S. Department of Energy's Ames Laboratory and collaborators at Brookhaven National Laboratory and the University of Alabama at Birmingham have discovered a new light-induced switch that twists the crystal lattice of the material, switching on a giant electron current that appears to be nearly dissipationless. The discovery was made in a category of topological materials that holds great promise for spintronics, topological…
Sorry, Mac M1 users. Apple just banned sideloading iOS apps
Apple has been working to make iOS apps available and more useful on macOS for some time now. The ability for Macs with the M1 chip to run iOS apps natively was no small feature when Apple announced its new chips and hardware. Unfortunately, Apple is tamping down on the ability of developers to run whatever iOS apps they want, as the Cupertino company has…
Managing large-scale construction projects to avoid cost overruns
Researchers from University of Stavanger, University of Melbourne, and University of Wisconsin-Madison published a new paper in the Journal of Marketing that examines how major projects undertaken by temporary organizations can be better managed so that cost overruns are minimized. The study forthcoming in the Journal of Marketing is titled "Mobilizing the Temporary Organization: The Governance Roles of Selection and Pricing" and is authored by…
Following the hops of disordered proteins could lead to future treatments of Alzheimer’s disease
Researchers from the University of Cambridge, the University of Milan and Google Research have used machine learning techniques to predict how proteins, particularly those implicated in neurological diseases, completely change their shapes in a matter of microseconds. They found that when amyloid beta, a key protein implicated in Alzheimer's disease, adopts a highly disordered shape, it actually becomes less likely to stick together and form…
HEALTH
New model found effective in predicting risk of opioid overdose
Current approaches to identifying people who are at high risk for overdosing on opioids target many who are not truly at high risk. A new study sought to develop and validate a way to predict the risk of opioid overdose among Medicare beneficiaries with at least one opioid prescription. The model the researchers developed was more effective in predicting risk of overdose than traditional statistical…
