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.
Finding a bubble of hot gas blown by the stellar wind from a young star gives researchers a peek at what our sun was like when it was young.
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.
Homologous defense proteins in archaea and eukaryotes point to these early prokaryotes role in the immune system of modern complex organisms.
See how elliptical galaxies in the distant universe were born, as new research gives astronomers a closer look at galactic collisions and star formation.
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.
Posted in biotech/medical, life extension | Leave a Comment on GeroScience: Exploring the Gero-Oncology Perspective: Unraveling the Intersection of Aging Research and Cancer Biology
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.
Posted in biotech/medical, chemistry | Leave a Comment on Senescence cell signature associated with poor prognosis, epithelial–mesenchymal transition, solid histology, and spread through air spaces in lung adenocarcinoma
📢New in GeroScience by Springer Nature.
Senescence cell signature associated with poor prognosis, epithelial–mesenchymalion, solid histology, and spread through air spaces in lung adenocarcinoma by Young Wha Koh, Jae-Ho Han, Seokjin Haam & Hyun Woo Lee.
Cellular senescence is involved in critical processes in tumor progression. Despite this potential relationship, the relationship between tumor cell senescence, prognostic significance, spread through air spaces (STAS), and tumor histology has not been investigated in lung adenocarcinoma (LUAD). We used the LUAD PanCancer Atlas dataset to assess senescence cell signature (SCS) based on the SenMayo gene set. We examined the relationship between SCS, prognostic significance, STAS, and tumor histology. This relationship was confirmed in independent LUAD datasets by validation using immunohistochemical senescence markers. In the LUAD PanCancer Atlas dataset, patients with high SCS expression had a higher prevalence of solid histology and STAS patterns than those with low SCS expression.
