Results 101 to 110 of about 279,382 (273)

Comparison of Linear Discriminant Analysis with Robust Linear Discriminant Analysis

UNP Journal of Statistics and Data Science
Discriminant 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, null Dodi Vionanda, null Yenni Kurniawati, null Tessy Octavia Mukhti   +3 more
openaire   +1 more source

Dysregulation of Oral Microbial Eicosapentaenoic Acid Induced by Chronic Restraint Stress Exacerbates Periodontitis via M1 Macrophage Polarization

Advanced Science, EarlyView.
ABSTRACT The intricate interplay between chronic psychological stress and periodontitis, mediated by oral microbiota and macrophage polarization, remains largely enigmatic. Here, we demonstrate that chronic restraint stress (CRS) exacerbates periodontitis by inducing oral microbial dysbiosis and a consequential shift in host metabolism.
Shihong Luo, Fangzhi Lou, Peiran Yang, Yu Zhang, Li Yan, Yunmei Dong, Bing Yang, Haiyang Wang, Yiyun Liu, Juncai Pu, Richard D. Cannon, Peng Xie, Ping Ji, Xin Jin   +13 more
wiley   +1 more source

Reaction Coordinates for Conformational Transitions Using Linear Discriminant Analysis on Positions. [PDF]

J Chem Theory Comput, 2023
Sasmal S, McCullagh M, Hocky GM.
europepmc   +1 more source

Metarhizium anisopliae Mitigates the Phytotoxicity of Lead and Nanoplastics on Rice by Modifying Physiological, Transcriptomic, Metabolomic Activities, and Soil Microbiome

Advanced Science, EarlyView.
Metarhizium anisopliae alleviates the phytotoxic effects of polyethylene nanoplastics (NP) and lead (Pb) in rice by decreasing Pb uptake, restoring antioxidant and hormonal equilibrium, and promoting growth. Additionally, the fungus modifies the rhizosphere microbiota, enhancing both contaminant tolerance and plant growth, thereby effectively ...
Jing Peng, Qi Yan, Muhammad Umair Hassan, Muhammad Imran, Fasih Ullah Haider, Jianfeng Liang, Xingmin Wang, Shaukat Ali   +7 more
wiley   +1 more source

Local kernel nonparametric discriminant analysis for adaptive extraction of complex structures

Open Physics, 2017
The linear discriminant analysis (LDA) is one of popular means for linear feature extraction. It usually performs well when the global data structure is consistent with the local data structure.
Li Quanbao, Wei Fajie, Zhou Shenghan
doaj   +1 more source

Deep Brain Stimulation Induces Antidepressant Effects by Restoring High‐Fidelity Communication in the BNST‐NAc Circuit

Advanced Science, EarlyView.
This cross‐species study reveals that pathological hyperactivity of BNST neurons in depressive states disrupts inhibitory period and isolated spikes in the BNST‐NAc circuit. DBS achieves its antidepressant effects by precisely restoring network inhibitory periods and high‐fidelity signal transmission.
Xin Lv, Yu Cao, Yuhan Wang, Yunhao Wu, Yingying Zhang, Kuanghao Ye, Xian Qiu, Qingfang Sun, Liuguan Bian, Halimureti Paerhati, Valerie Voon, Shikun Zhan, Bomin Sun   +12 more
wiley   +1 more source

An Efficient Greedy Search Algorithm for High-dimensional Linear Discriminant Analysis. [PDF]

Stat Sin, 2023
Yang H, Lin DY, Li Q.
europepmc   +1 more source

Nanoparticle‐Mediated Immunometabolic‐Epigenetic Remodeling Enhances Schwann Cell‐Macrophage Interaction for Sciatic Nerve Regeneration

Advanced Science, EarlyView.
A biomimetic Prussian White nanoparticle (PW) is engineered to achieve long‐term local retention and orchestrate immunometabolic‐epigenetic remodeling for sciatic nerve regeneration. PW directly targets hexokinase 2 to suppress glycolysis, thereby elevating α‐ketoglutarate and driving Kdm4a/b‐mediated demethylation of H3K9me3.
Wenying Xu, Rongrong Wu, Zhicheng Liu, Hongyu Yan, Huan Zhang, Yuanyi Zheng, Xiaojun Cai   +6 more
wiley   +1 more source

Sparse Linear Discriminant Analysis With Constant Between-Class Distance for Feature Selection

IEEE Access
Feature selection is an important preprocessing step in machine learning to remove irrelevant and redundant features. Due to its ability to effectively maintain the discriminability of extracted features, Trace Ratio Linear Discriminant Analysis (TR-LDA)
Shuangle Guo, Yongxia Li, Jianguang Zhang, Yue Liu, Tian Tian, Mengchen Guo   +5 more
doaj   +1 more source

Application of Near-Infrared Spectroscopy and Fuzzy Improved Null Linear Discriminant Analysis for Rapid Discrimination of Milk Brands. [PDF]

Foods, 2023
Wu X, Fang Y, Wu B, Liu M.
europepmc   +1 more source