For The Better

Researchers are applying machine learning algorithms to help interpret massive amounts of ground deformation data collected with Interferometric Synthetic Aperture Radar (InSAR) satellites; the new algorithms will improve earthquake detection.

New study results demonstrate that unstable housing and homelessness is associated with a two-fold greater chance of being re-infected with SARS-CoV-2 compared to those who are securely housed. The research indicates that unstable housing was the only …

Researchers have developed a silicon coating that, when applied to the surface of a glass lens, can counteract the effects of dispersion.

New research shows that sea urchins, albeit having a limited and ancestral sensory system, can show a complex behaviour when escaping a predator. These marine invertebrates tend to move slowly and with unpredictable movements, but when they smell a pre…

A new study shows that there are species of marine animals such as fish, crustaceans and mollusks (for example, squid) that change their habitats and deepen an average of 55 meters across the climatic gradient of the Mediterranean (spanning a range of …

Researchers found that two groups of mothers — those who had disease-acquired immunity and those with vaccine-immunity — had high levels of antibodies in their breast milk, and these antibodies provided neutralization against SARS-CoV-2.

Researchers performed the first-ever simulation of baryons — fundamental quantum particles — on a quantum computer.

When tectonic plates sink into the Earth they look like slinky snakes! That’s according to a study published in Nature, which helps answer a long standing question about what happens to tectonic plates when they sink – or subduct – into the Earth’s int…

A new strategy seeks to avoid gene-editing errors by fine-tuning specific CRISPR-base editing parameters in advance.

New research could significantly reduce overcrowding in emergency departments — with great financial savings. Experts have developed a prediction model to identify patients most at risk of taking up hospital beds longer than needed.