Results 91 to 100 of about 276,499 (268)
Evaluating the effect of γ‐oryzanol on MASLD pathology using a medaka fish model
This study explores a liver disease called MASLD, which is increasing worldwide and can lead to serious damage. Researchers used medaka fish instead of rodents to test a food compound, γ‐oryzanol. Fish fed this compound had less liver fat and healthier gut bacteria.
Yukako Ito +7 more
wiley +1 more source
Heterotropic regulation and negative homotropic cooperativity
We identified a structural module common to some proteins that couple negative cooperativity with heterotropic regulation, two features that rarely coexist. These proteins are ring‐like and present an ordered asymmetry whereby noncontacting subunits are symmetric, and their tertiary structure differs from that of contacting subunits.
Veronica Morea +5 more
wiley +1 more source
Analysis of size of the largest dense subgraph of random hypergraph
Random networks are often described using Erdos-Renyi model of random graph . The concept of graph density is often used in random network analysis.
N. N. Kuzyrin, D. O. Lazarev
doaj +1 more source
ALDOA Promotes Glycolysis and NLRP3/GSDMD Pyroptosis to Accelerate ALS Progression
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is characterized by progressive motor neuron degeneration. Glycolytic dysregulation is implicated in disease progression, yet the underlying mechanisms remain unclear. This study investigates how Aldolase A (ALDOA) drives ALS progression through glycolysis‐mediated motor neuron pyroptosis.
Kaixin Yan +9 more
wiley +1 more source
Zero-One Law for Connectivity in Superposition of Random Key Graphs on Random Geometric Graphs
We study connectivity property in the superposition of random key graph on random geometric graph. For this class of random graphs, we establish a new version of a conjectured zero-one law for graph connectivity as the number of nodes becomes unboundedly
Y. Tang, Q. L. Li
doaj +1 more source
ergm.graphlets: A Package for ERG Modeling Based on Graphlet Statistics
Exponential-family random graph models are probabilistic network models that are parametrized by sufficient statistics based on structural (i.e., graph-theoretic) properties. The ergm package for the R statistical computing environment is a collection of
Ömer Nebil Yavero?lu +5 more
doaj +1 more source
Treewidth of Erdős–Rényi random graphs, random intersection graphs, and scale-free random graphs
We prove that the treewidth of an Erdös-Rényi random graph $\rg{n, m}$ is, with high probability, greater than $βn$ for some constant $β> 0$ if the edge/vertex ratio $\frac{m}{n}$ is greater than 1.073. Our lower bound $\frac{m}{n} > 1.073$ improves the only previously-known lower bound.
openaire +3 more sources
The Diameter of Random Graphs [PDF]
Extending some recent theorems of Klee and Larman, we prove rather sharp results about the diameter of a random graph. Among others we show that if d = d
openaire +1 more source
ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao +6 more
wiley +1 more source
Local Interaction on Random Graphs
We analyze dynamic local interaction in population games where the local interaction structure (modeled as a graph) can change over time: A stochastic process generates a random sequence of graphs. This contrasts with models where the initial interaction
Hans Haller, Siegfried Berninghaus
doaj +1 more source

