Results 131 to 140 of about 26,186,381 (274)

The Application of Principal Component Analysis (PCA) for the Optimization of the Conditions of Fabrication of Electrospun Nanofibrous Membrane for Desalination and Ion Removal. [PDF]

Membranes (Basel), 2021
Younes K, Mouhtady O, Chaouk H, Obeid E, Roufayel R, Moghrabi A, Murshid N.   +6 more
europepmc   +1 more source

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

Advanced Science, EarlyView.
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu, Pan Zhang, Shangqian Wu, Hao Sun, Minwei Li, Sophia Tsoka, Zizhang Sheng, Lei Deng   +7 more
wiley   +1 more source

PCA (principal component analysis) [PDF]

, 2008
openaire   +2 more sources

Demonstrating the Mechanics of Principal Component Analysis via Spreadsheets [PDF]

, 2019
Principal component analysis (PCA) is a popular multivariate statistical method that is used for dimensionality reduction. When teaching PCA in a marketing research or business analytics course, the mechanics of the analysis are often not communicated to
Michael Brusco
core  

Coixenolide Enhances Antitumor Immunity of Cytotoxic CD8+ T Cells by Inhibiting S100A8/A9‐CD36 Axis in Obesity‐Associated Pancreatic Adenocarcinoma

Advanced Science, EarlyView.
Pancreatic adenocarcinoma (PAAD) remains highly lethal with limited treatment options. This study demonstrates that coixenolide, a bioactive compound from Coix lacryma‐jobi L. and a key component of the clinically approved Kanglaite injection, exhibits enhanced antitumor efficacy in high‐fat diet (HFD)‐induced obese mice bearing PAAD tumors compared to
Kaidi Chen, Rong Chen, Wei Li, Bin Song, Ruiying Zhang, Lewei Dai, Yuwei Qi, Ruqian Chen, Yifan Xu, Hangbin Li, Jingyi Huang, Fangping Wu, Jianan Peng, Xinyu Wang, Yang Xiong, Chaofeng Mu, Guilin Cheng, Zhaoshen Li, Shanming Ruan, Lei Huang, Mancang Gu   +20 more
wiley   +1 more source

Low-temperature thermal hydrolysis of sludge prior to anaerobic digestion: Principal component analysis (PCA) of experimental data. [PDF]

Data Brief, 2021
Meshref MNA, Azizi SMM, Dastyar W, Maal-Bared R, Dhar BR.   +4 more
europepmc   +1 more source

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

Advanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen, Renato S. M. Almeida, Stefan Flauder, Guillaume Couégnat, Kamen Tushtev, Jürgen Horvath, Peter Wriggers, Kurosch Rezwan   +7 more
wiley   +1 more source

The Predominant Sources of Heavy Metals in Different Types of Fugitive Dust Determined by Principal Component Analysis (PCA) and Positive Matrix Factorization (PMF) Modeling in Southeast Hubei: A Typical Mining and Metallurgy Area in Central China. [PDF]

Int J Environ Res Public Health, 2022
Chen H, Wu D, Wang Q, Fang L, Wang Y, Zhan C, Zhang J, Zhang S, Cao J, Qi S, Liu S.   +10 more
europepmc   +1 more source

Phosphorylation‐Facilitated CKB Lactylation At K11 By GCN5 Enhances Creatine Kinase Activity and Mitigates Neuronal Damage After Cerebral Ischemia‐Reperfusion

Advanced Science, EarlyView.
This study uncovers hierarchical coordination between K11 lactylation and S199 phosphorylation of CKB in cerebral ischemia‐reperfusion injury. Such dual modifications potentiate CKB enzymatic function, remodel energy metabolism, alleviate oxidative stress and neuronal damage, and represent a viable therapeutic target for stroke treatment.
Chao Duan, Ruolin Zhang, Shihui Ding, Ying Feng, Tao Shen, Ziwei Wang, Wendai Bao, Ke Shui, Jun Qin, Jun Chen, Min Zhang, Zijing Ren, Dongmei Zhao, Xingrong Guo, Zhibing Ai, Xin Yang, Peiyang Zhou, Zhiqiang Dong   +17 more
wiley   +1 more source

Rock mass properties prediction method in TBM tunnel based on principal component analysis (PCA)

Civil and Environmental Engineering
Accurate prediction of the rock mass parameters is of great significance in the safety and efficiency of tunnel construction by tunnel boring machine (TBM).
Meng Qingting, Wang Hai, Bai Liang, Zhao Fei, Bai Jian   +4 more
doaj   +1 more source