Requiring consistency between the physics of neutron stars and quark matter leads to the first astrophysical constraint on this exotic phase of matter.
Recent research uses neutron star measurements to place empirical limits on the strength of color superconducting pairing in quark matter, revealing new insights into the physics of the densest visible matter in the universe through astronomical observations.
Color Superconductivity
Researchers find evidence of superfluidity in low-density neutron matter by using highly flexible neural-network representations of quantum wave functions.
A groundbreaking study employing artificial neural networks has refined our understanding of neutron superfluidity in neutron stars, proposing a cost-effective model that rivals traditional computational approaches in predicting neutron behavior and emergent quantum phenomena.
Neutron Superfluidity in Neutron Stars.
Humankind accomplished new feats in space this year, including scooping up some of the moon’s farside and launching a probe to Jupiter’s moon Europa.
In a surprise discovery, researchers found a new way to generate quantum entanglement for particles of light, which could make building quantum information networks easier.
A new study finds tweaking part of the H5N1 virus infecting dairy cows in a single spot could allow it to better attach to human cell receptors, raising concerns it could transmit more easily between people.
Scientists have discovered that H5N1, the strain of highly pathogenic avian influenza virus currently spreading in U.S. dairy cows, only needs a single mutation to readily latch on to human cells found in the upper airway. The findings, published today in Science, illustrate a potential one-step path for the virus to become more effective at human transmission—and could have major implications for a new pandemic if such a mutation were to become widespread in nature.
Guest Editors: Prof. Robert Mannel, MD, University of Oklahoma HSC Prof. Judith Campisi, PhD, Buck Institute for Research on Aging Prof. Balazs Gyorffy, MD, PhD, Semmelweis University Prof. Anna Csiszar, MD, PhD, University of Oklahoma HSC Prof. Peter Bai, PhD, University of Debrecen.
The field of geroscience, focusing on the biology of aging, has revealed fascinating insights into the intricate relationship between aging and cancer. As the incidence of numerous cancer types exponentially increases with advancing age, understanding the cellular and molecular mechanisms underlying aging becomes crucial in deciphering the genesis and progression of cancer. We invite researchers to submit papers that shed light on specific mechanisms of aging that play pivotal roles in the development and progression of cancer, serve as targets for cancer treatments and contribute to the side effects of cancer therapies. Additionally, we are also interested in exploring the potential of aging-related biomarkers, including gene expression profiles associated with aging processes, as predictors of cancer survival.