Results 61 to 70 of about 2,662,540 (333)
Unsupervised K-Means Clustering Algorithm
The k-means algorithm is generally the most known and used clustering method. There are various extensions of k-means to be proposed in the literature. Although it is an unsupervised learning to clustering in pattern recognition and machine learning, the
Kristina P. Sinaga, Miin-Shen Yang
semanticscholar +1 more source
The dual nature of TDC – bridging dendritic and T cells in immunity
TDC are hematopoietic cells combining dendritic and T cell features. They reach secondary lymphoid organs (SLOs) and peripheral organs (liver and lungs) after FLT3‐dependent development in the bone marrow and maturation in the thymus. TDC are activated and enriched in SLOs upon viral infection, suggesting that they might play unique immune roles, since
Maria Nelli, Mirela Kuka
wiley +1 more source
Some issues in robust clustering [PDF]
Some key issues in robust clustering are discussed with focus on Gaussian mixture model based clustering, namely the formal definition of outliers, ambiguity between groups of outliers and clusters, the interaction between robust clustering and the estimation of the number of clusters, the essential dependence of (not only) robust clustering on tuning ...
arxiv
When Should You Adjust Standard Errors for Clustering? [PDF]
Clustered standard errors, with clusters defined by factors such as geography, are widespread in empirical research in economics and many other disciplines. Formally, clustered standard errors adjust for the correlations induced by sampling the outcome
Alberto Abadie+3 more
semanticscholar +1 more source
Clustering of near clusters versus cluster compactness [PDF]
Les proprietes d'agencement des amas de Zwicky proches sont etudiees en utilisant la fonction de correlation angulaire a 2 points. Ces fonctions sont estimees pour les amas compacts et moyennement compacts, pour les amas ouverts et pour tous les amas de Zwicky ...
Yi-peng Jing, Yu Gao
openaire +2 more sources
In vivo IL‐10 produced by tissue‐resident tolDC is involved in maintaining/inducing tolerance. Depending on the agent used for ex vivo tolDC generation, cells acquire common features but prime T cells towards anergy, FOXP3+ Tregs, or Tr1 cells according to the levels of IL‐10 produced. Ex vivo‐induced tolDC were administered to patients to re‐establish/
Konstantina Morali+3 more
wiley +1 more source
Hierarchical clusters of lanthanide cluster plus gold cluster
In this work, we provide a facile and valid one-pot synthesis method to create unreported hierarchical cluster of lanthanide cluster plus gold cluster (Ln-Au cluster), by introducing the ligands with bifunctional groups of carboxyl and sulfhydryl. The identities of Ln-Au clusters are fully characterized to be Ln7Au20 (MPCA)21 (Ln = Ce, 1; Eu, 2; Tb, 3;
Kai Zheng+4 more
openaire +2 more sources
Metabolic dysfunction‐associated steatotic liver disease (MASLD) affects nearly one‐third of the global population and poses a significant risk of progression to cirrhosis or liver cancer. Here, we discuss the roles of hepatic dendritic cell subtypes in MASLD, highlighting their distinct contributions to disease initiation and progression, and their ...
Camilla Klaimi+3 more
wiley +1 more source
Taurine promotes glucagon‐like peptide‐1 secretion in enteroendocrine L cells
Taurine, a sulfur‐containing amino acid, is likely taken up by enteroendocrine L cells via the taurine transporter. This process increases the levels of cytosolic ATP. The increase in intracellular Ca2+ concentrations and glucagon‐like peptide‐1 secretion through membrane depolarization is caused by the closure of ATP‐sensitive potassium channels ...
Yuri Osuga+6 more
wiley +1 more source
Summary: Background: Mathematical modelling may aid in understanding the complex interactions between injury and immune response in critical illness.
Sonu Subudhi+10 more
doaj