Results 51 to 60 of about 282,422 (272)
Finding Efficient Collective Variables: The Case of Crystallization
, 2018 Several enhanced sampling methods such as umbrella sampling or metadynamics rely on the identification of an appropriate set of collective variables.
Dan Mendels +6 more
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Advanced Science, EarlyView.Aldosterone‐producing adenomas (APAs) develop via two distinct paths: directly from adrenal zona glomerulosa (zG) cells, or stepwise from zG cells through aldosterone‐producing micronodules (APMs) before progressing to APAs. Advanced single‐cell and spatial analyses identified distinct cell states linked to oxidative stress and cell–cell interactions ...
Zhuolun Sun +7 more
wiley +1 more source
The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis
, 2020 Fisher's linear discriminant analysis is a classical method for classification, yet it is limited to capturing linear features only. Kernel discriminant analysis as an extension is known to successfully alleviate the limitation through a nonlinear ...
Kim, Jiae, Lee, Yoonkyung, Liang, Zhiyu
core
Implicitly Constrained Semi-Supervised Linear Discriminant Analysis
, 2014 Semi-supervised learning is an important and active topic of research in pattern recognition. For classification using linear discriminant analysis specifically, several semi-supervised variants have been proposed.
Krijthe, Jesse H., Loog, Marco
core +1 more source
Advanced Science, EarlyView.This study established an RT‐MSCs‐based therapeutic approach for scleroderma in mice. RT‐MSCs attenuated fibrosis by regulating mitochondrial autophagy and restored gut microbiota homeostasis. Metabolomic analyses confirmed recovery of key metabolites, and RT‐MSCs demonstrated favorable lesion targeting and safety profiles.
Xue Xia +5 more
wiley +1 more source
Keystroke features recognition based on stable linear discriminant analysis
Tongxin xuebao, 2017 A novel keystroke features recognition method based on stable linear discriminant Analysis (SLDA) was put forward.First of all,it maximum the dispersion between different sequences,while minimizing the dispersion between the same sequence set,maintain ...
Wei-guo SHEN, Wei WANG
doaj +2 more sources
, 2013 This work studies the theoretical rules of feature selection in linear discriminant analysis (LDA), and a new feature selection method is proposed for sparse linear discriminant analysis.
Anderson +26 more
core +1 more source
Advanced Science, EarlyView.The severity of acute pancreatitis (AP) is linked to reduced abundance of Bifidobacterium pseudolongum (B. pseudolongum). Administration of B. pseudolongum or its key metabolite acetate alleviates pancreatic and systemic inflammation by suppressing M1 macrophage polarization.
Langyi Guan +16 more
wiley +1 more source
A Layering Linear Discriminant Analysis-Based Fault Diagnosis Method for Grid-Connected Inverter
Journal of Marine Science and Engineering, 2022 Grid-connected inverters are the core equipment for connecting marine energy power generation systems to the public electric utility. The variation of current sensor fault severity will make fault samples multimodal. However, linear discriminant analysis
Guangfeng Jin +4 more
doaj +1 more source
Comparison of Linear Discriminant Analysis with Robust Linear Discriminant Analysis
UNP Journal of Statistics and Data ScienceDiscriminant analysis is a multivariate technique related to separating distinct groups of objects and allocating new objects to predefined groups. Discriminant analysis produces a discriminant function, which is defined as a linear combination of independent variables used to classify objects into two or more groups or categories.
Fitri Hayati Fitri +3 more
openaire +1 more source