Results 81 to 90 of about 1,519,388 (324)
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
A Scalable Null Model for Directed Graphs Matching All Degree Distributions: In, Out, and Reciprocal [PDF]
Degree distributions are arguably the most important property of real world networks. The classic edge configuration model or Chung-Lu model can generate an undirected graph with any desired degree distribution.
Durak, Nurcan +3 more
core +1 more source
Comparison among Hamiltonian light-front formalisms at q+ = 0 and q+ <> 0: space-like elastic form factors of pseudoscalar and vector mesons [PDF]
The electromagnetic elastic form factors of pseudoscalar and vector mesons are analyzed for space-like momentum transfers in terms of relativistic quark models based on the Hamiltonian light-front formalism elaborated in different reference frames (q+ 0 ...
B.D. Keister +37 more
core +2 more sources
Representation of the suggested mode of action of lactoferrin (Lf) in nonsmall cell lung cancer (NSCLC) A549 cells. Lf induces activation of caspase‐3 by activating p53 and AChE leading to decreased ACh concentrations. In turn, ACh signaling leads to activation of VEGF and AKT and blocking of caspase‐3.
Stuti Goel +9 more
wiley +1 more source
An algebraic analysis of the graph modularity
One of the most relevant tasks in network analysis is the detection of community structures, or clustering. Most popular techniques for community detection are based on the maximization of a quality function called modularity, which in turn is based upon
Fasino, Dario, Tudisco, Francesco
core +1 more source
Configuring Random Graph Models with Fixed Degree Sequences [PDF]
Random graph null models have found widespread application in diverse research communities analyzing network datasets, including social, information, and economic networks, as well as food webs, protein-protein interactions, and neuronal networks.
B. Fosdick +3 more
semanticscholar +1 more source
Functional Connectivity Linked to Cognitive Recovery After Minor Stroke
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri +7 more
wiley +1 more source
In this work we seek to enhance the frameworks practitioners in asset management and wealth management may adopt to asses how different screening rules may influence the diversification benefits of portfolios.
Ragnar L Gudmundarson, Gareth W Peters
doaj +1 more source
Testing for high-dimensional geometry in random graphs
We study the problem of detecting the presence of an underlying high-dimensional geometric structure in a random graph. Under the null hypothesis, the observed graph is a realization of an Erd\H{o}s-R\'enyi random graph $G(n,p)$.
Bubeck, Sébastien +3 more
core +1 more source
Hydroxychloroquine Associated With Lower Glomerular Filtration Rate Decline in Lupus Nephritis
Objective Hydroxychloroquine (HCQ) protects kidney function in lupus nephritis (LN) by preventing flares, yet some cohort studies show no significant benefit in kidney function with HCQ. Clarifying these conflicting findings by showing early and long‐term benefits of HCQ on kidney function preservation is critical.
Shivani Garg +9 more
wiley +1 more source

