Cedars-Sinai Health Sciences University investigators and colleagues created an algorithm designed to use data on sudden ...

Astronomers working with data from the European Space Agency’s Gaia space telescope have identified 87 stellar stream ...

A Navy seafloor scanning operation has reportedly helped researchers zero in on a shipwreck believed to be roughly 500 years ...

Community detection — the task of finding groups of densely connected nodes in a network — has become a popular tool in urban analysis. Applied to street networks, it promises to reveal something ...

Introduction The substantial case detection gap in the field of child tuberculosis (TB) disease is largely driven by inadequate diagnostic tools and approaches. Chest radiographs (CXRs) remain a key ...

When someone walks into an emergency room with symptoms of a stroke, every second matters. But today, diagnosing the type of stroke, the life-or-death distinction between a clot and a bleed, requires ...

Abstract: Community detection in social networks is a fundamental challenge in network science driven by the increasing complexity of online platforms. In a given network, a community is a group of ...

Abstract: Multilayer networks, as an important branch of network science, have become a powerful tool for revealing and analyzing the internal structures of complex systems. Within these networks, ...

Meta is taking a page straight out of X's playbook on fact-checking. Meta said Thursday it'll use the open-source algorithm of X for its new community notes model. Its moderation overhaul, announced ...