Many quantum materials have been nearly impossible to simulate mathematically because the computing time required is too long. Now a joint research group at Freie Universität Berlin and the Helmholtz-Zentrum Berlin (HZB, Germany) has demonstrated a way to considerably reduce the computing time. This could accelerate the development of materials for energy-efficient IT technologies of the future.
A world-first study examines the scales of management of the Great Barrier Reef. The findings have the potential to help sustain other ecosystems across the world. The study provides a new approach for diagnosing social-ecological scale mismatches and responding to them.
Using state-of-the-art 3D microscopy and mathematics, Dr Hermes Gadêlha from the University of Bristol, Dr Gabriel Corkidi and Dr Alberto Darszon from the Universidad Nacional Autonoma de Mexico, have reconstructed the movement of the sperm tail in 3D with high-precision.
An international task force, including two University of Massachusetts Amherst computer scientists, concludes in new research that mobile health (mHealth) technologies are a viable option to monitor COVID-19 patients at home and predict which ones will need medical intervention.
New statistical analysis finds cancer mapping may help question regional disease links.
Patients with undiagnosed flu symptoms who actually had COVID-19 last winter were among thousands of undetected early cases of the disease at the beginning of this year. In a new paper in The Lancet's open-access journal EClinicalMedicine, epidemiological researchers from The University of Texas at Austin estimated COVID-19 to be far more widespread in Wuhan, China, and Seattle, Washington, weeks ahead of lockdown measures in each city.
In the future, a Soldier and a game controller may be all that's needed to teach robots how to outdrive humans.
Radiocarbon dating is set to become more accurate than ever after an international team of scientists improved the technique for assessing the age of historical objects.
Researchers use spectroscopy to quickly and cheaply analyze soils samples.
Cleveland Clinic researchers have developed and validated a risk prediction model (called a nomogram) that can help physicians predict which patients who have recently tested positive for SARS-CoV-2, the virus that causes COVID-19, are at greatest risk for hospitalization. This new model, published in PLOS One, is the second COVID-19-related nomogram that the research team has developed.