Results 91 to 100 of about 276,499 (268)

Evaluating the effect of γ‐oryzanol on MASLD pathology using a medaka fish model

open access: yesFEBS Open Bio, EarlyView.
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

open access: yesFEBS Open Bio, EarlyView.
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

open access: yesТруды Института системного программирования РАН, 2018
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

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
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

open access: yesDiscrete Dynamics in Nature and Society, 2015
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

open access: yesJournal of Statistical Software, 2015
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

open access: yesDiscrete Applied Mathematics, 2012
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]

open access: yesTransactions of the American Mathematical Society, 1981
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

Effectiveness of rTMS on Working Memory and Inhibitory Impairments in Patients With Post‐Stroke Executive Deficits

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
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

open access: yesGames, 2010
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

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