Results 91 to 100 of about 193,774 (278)
Critical comments on EEG sensor space dynamical connectivity analysis
, 2016 Many different analysis techniques have been developed and applied to EEG recordings that allow one to investigate how different brain areas interact. One particular class of methods, based on the linear parametric representation of multiple interacting ...
Faes, Luca +5 more
core +1 more source
Associations of Sleep and Shift Work with Osteoarthritis Risk
Arthritis Care &Research, Accepted Article.Objective Daily rhythms may be critical for maintaining homeostasis of joint tissues. We aimed to investigate the relationships between circadian clock disruption, sleep, and osteoarthritis (OA) risk in humans. Methods In the UK Biobank, a prospective 500,000‐person cohort, we evaluated associations between sleep duration, sleeplessness/insomnia, and ...
Elizabeth L. Yanik +5 more
wiley +1 more source
Electronic Journal of Graph Theory and Applications, 2023 Summary: Among bipartite graphs with given order and matching number/vertex cover number/edge cover number/independence number, among multipartite graphs with given order, and among graphs with given order and chromatic number, we present the graphs having the maximum degree-based index if that index satisfies certain conditions.
openaire +1 more source
Arthritis Care &Research, Accepted Article.Objective The objective of this study was to describe the longitudinal disease course and pulmonary outcomes of North American patients with melanoma differentiation‐associated gene 5 antibody (MDA5 ab) associated dermatomyositis (DM). Methods Thirty patients with MDA5 ab DM were identified in a single center longitudinal cohort of 352 patients with ...
Jenice X Cheah +8 more
wiley +1 more source
MathematicsFor a∈R, the general sum-connectivity index of a graph G is defined as χa(G)=∑uv∈E(G)[dG(u)+dG(v)]a, where E(G) is the set of edges of G and dG(u) and dG(v) are the degrees of vertices u and v, respectively.
Elize Swartz, Tomáš Vetrík
doaj +1 more source
Discovering Functional Communities in Dynamical Networks [PDF]
, 2006 Many networks are important because they are substrates for dynamical systems, and their pattern of functional connectivity can itself be dynamic -- they can functionally reorganize, even if their underlying anatomical structure remains fixed.
Camperi, Marcelo F. +2 more
core +2 more sources
Retractions in Rheumatology: Trends, Causes, and Implications for Research Integrity
Arthritis Care &Research, EarlyView.Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley +1 more source
AIMS MathematicsA general VDB topological index of $ G $ is defined as \begin{document}$ \mathcal{TI}_f(G) = \sum\limits_{v_iv_j\in E(G)} f(d_i,d_j), $\end{document} where $ f(d_i, d_j) $ is a symmetric function, and $ d_i $ represents the degree of $ v_i\in V(G ...
Zhenhua Su
doaj +1 more source
, 2012 We explore degrees of freedom (DoF) characterizations of partially connected wireless networks, especially cellular networks, with no channel state information at the transmitters.
Jafar, Syed A.
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Assessing the Complexity of a Recovered Design and its Potential Redesign Alternatives [PDF]
, 2009 Organised by: Cranfield UniversityReverse engineering techniques are applied to generate a part model where there is no existing documentation or it is no longer up to date.
ElMaraghy, W. H., Urbanic, R. J.
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