Results 41 to 50 of about 165,146 (318)
PDIA6–SCD1 Axis Rewires Lipid Metabolism to Drive Gastric Cancer Progression
Protein disulfide isomerase A6 (PDIA6) is identified as an oncogenic driver in gastric cancer. PDIA6 directly binds and stabilizes SCD1 by limiting its ubiquitin–proteasome‐mediated degradation, thereby sustaining monounsaturated fatty acid (MUFA)‐enriched lipid homeostasis and lipid metabolic reprogramming.
Zhen Tian +13 more
wiley +1 more source
A Markov Chain state transition approach to establishing critical phases for AUV reliability [PDF]
The deployment of complex autonomous underwater platforms for marine science comprises a series of sequential steps. Each step is critical to the success of the mission. In this paper we present a state transition approach, in the form of a Markov chain,
Griffiths, Gwyn +3 more
core +1 more source
On automorphisms of Markov chains [PDF]
We prove several theorems about automorphisms of Markov chains, using the weight-per-symbol polytope.
Krieger, Wolfgang +2 more
openaire +1 more source
Exceptional Antimodes in Multi‐Drive Cavity Magnonics
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith +4 more
wiley +1 more source
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Alzheimer's Disease Co‐Pathology and Cognitive Impairment in Amyotrophic Lateral Sclerosis
Objectives Amyotrophic lateral sclerosis (ALS) and Alzheimer's disease (AD) share neuropathological features, including tau, amyloid, and TDP‐43 pathology. This study investigated whether AD‐related pathological changes are associated with cognitive impairment ALS. Methods Cerebrospinal fluid (CSF total‐tau, phosphorylated‐tau, beta‐amyloid) and plasma
Elisabeth Kasper +29 more
wiley +1 more source
tanggle: An R package for the visualization of phylogenetic networks
Abstract Premise Phylogenetic trees depict evolutionary relationships among taxa. However, they are strictly bifurcating structures that do not take into account several types of evolutionary events such as horizontal gene transfer, hybridization, or introgression. Although the development of new methods in phylogenetic networks has recently increased,
Klaus Schliep +6 more
wiley +1 more source
Markov Chain Monte Carlo Technology [PDF]
In the past fifteen years computational statistics has been enriched by a powerful, somewhat abstract method of generating variates from a target probability distribution that is based on Markov chains whose stationary distribution is the probability ...
Chib, Siddhartha
core
Markov chains conditioned never to wait too long at the origin [PDF]
Motivated by Feller's coin-tossing problem, we consider the problem of conditioning an irreducible Markov chain never to wait too long at 0. Denoting by τ the first time that the chain, X, waits for at least one unit of time at the origin, we consider ...
Jacka, Saul D.
core +1 more source

