Results 131 to 140 of about 239,550 (307)
Large Network Generator: a simple, efficient, and flexible graph formation algorithm
This study introduces the Large Network Generator, an algorithm capable of creating undirected graphs with three main characteristics of real-world networks: long-tailed degree distribution, short distances between nodes (small-world phenomenon), and ...
João Pedro C Morais +2 more
doaj +1 more source
Clustering in an Object-Oriented Environment
This paper describes the incorporation of seven stand-alone clustering programs into S-PLUS, where they can now be used in a much more flexible way.
Mia Hubert, Peter Rousseeuw, Anja Struyf
core
Objective We developed a novel electronic health record sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk +16 more
wiley +1 more source
Objective The objective of this study was to describe the longitudinal disease course and pulmonary outcomes of North American patients with melanoma differentiation–associated protein 5 (MDA5) antibody–associated dermatomyositis (DM). Methods Thirty patients with MDA5 antibody–associated DM were identified in a single‐center longitudinal cohort of 352
Jenice X. Cheah +8 more
wiley +1 more source
Efficient local clustering coefficient estimation in massive graphs
© Springer International Publishing AG 2017. Graph is a powerful tool to model interactions in disparate applications, and how to assess the structure of a graph is an essential task across all the domains.
Qin, L +4 more
core +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Structural properties of degree and clustering coefficient.
(a) Panel A shows the bilogarithmic graph for the complementary cumulative distribution p(d) and degree di. (b) Panel B shows the relationship between the degree and the clustering coefficient.
Sheng Ma (584748) +2 more
core +1 more source
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo +3 more
wiley +1 more source
Convex Isolating Clustering Centrality to Discover the Influential Nodes in Large Scale Networks
Ranking influential nodes within complex networks offers invaluable insights into a wide array of phenomena ranging from disease management to information dissemination and optimal routing in real-time networking applications.
Buran Basha Mohammad +3 more
doaj +1 more source

