Results 151 to 160 of about 239,550 (307)

Spatial non-parametric Bayesian clustered coefficients

Scientific Reports
AbstractIn the field of population health research, understanding the similarities between geographical areas and quantifying their shared effects on health outcomes is crucial. In this paper, we synthesise a number of existing methods to create a new approach that specifically addresses this goal.
Areed, Wala Draidi, Price, Aiden, Thompson, Helen, Malseed, Reid, Mengersen, Kerrie   +4 more
openaire   +5 more sources

Karl Popper and the Mechanisms of Hydrogen Embrittlement

Advanced Engineering Materials, EarlyView.
Representation of the beginning of loss of ductility rather than embrittlement. Small concentrations of hydrogen in a diffusible form within iron are well‐established to harm the mechanical integrity of steels. There are theories that attempt to explain the pernicious role of hydrogen.
H. K. D. H. Bhadeshia
wiley   +1 more source

Generating Random Graphs with Tunable Clustering Coefficient

, 2011
Most real-world networks exhibit a high clustering coefficient— the probability that two neighbors of a node are also neighbors of each other. We propose four algorithms CONF-1, CONF-2, THROW-1, and THROW-2 which are based on the configuration model and
Parikh, Nidhi Kiranbhai
core  

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Better weighted clustering coefficient: now continuous

, 2020
Nodes in real-world networks tend to cluster into densely connected groups, a property captured by the clustering coefficient. It was however initially defined for unweighted and undirected networks, which left out crucial information about dynamics on ...
Fardet, T. ; https://orcid.org/, Levina, A. ; https://orcid.org/   +1 more
core  

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Microstructure‐Controlled Crack Propagation and Fracture Resistance in MoSiBTiC Alloy Revealed by Multiscale Extended Finite Element Method Modeling

Advanced Engineering Materials, EarlyView.
A two‐dimensional multiscale finite element analysis framework was established for the first‐generation MoSiBTiC alloy, and the mechanical and fracture‐related parameters of the constituent phases were calibrated through experiments and simulations. The framework provides a basis for analyzing crack propagation behavior in its complex microstructure ...
Junfeng Du, Takahiro Kaneko, Xinyu Yan, Takahito Ohmura, Kyosuke Yoshimi   +4 more
wiley   +1 more source

Research on relevance between k-core and clustering coefficient in complex network

Tongxin xuebao, 2015
K-core analysis is an effective way to simplify the graphic topological structure.Many researches considered that the higher value k is,the more important the core is in complex network.But the relevance analysis between k-core and clustering coefficient
Jun LIU, Jian-zhong QIAO
doaj  

The Effect of Dopaminergic Therapy in Parkinson’s Disease: A Graph Theory Analysis

Brain Sciences
Background: Dopaminergic therapy (DT) is the gold standard pharmacological treatment for Parkinson’s disease (PD). Currently, understanding the neuromodulation effect in the brain of PD after DT is important for doctors to optimize doses and identify the
Karthik Siva, Palanisamy Ponnusamy, Vishal Chavda, Nicola Montemurro   +3 more
doaj   +1 more source

Local clustering coefficient as a function of the node degree for some representative DSM networks.

, 2015
Red plots denote the local clustering coefficient of an individual node, the blue line connects the average local clustering coefficient with the same degree, and the dashed line denotes the clustering coefficient C.
Akira Utsumi (524739)
core   +1 more source