Examining the Variability in Planetary Boundary Layer Height over Thailand: Correlations with ENSO and Aerosol Optical Depth by Sirapong Sooktawee, Khwanruthai Renuhom, Siriwan Kaewket, Aduldech Patpai, Pramet Kaewmesri, Thongchai Kanabkaew, Pichnaree Lalitaporn

“…EOF analysis reveals three interesting principal components (DecPC2, JanPC3, and FebPC2) that account for 11.3–23.5% of the total PBLH variance and that exhibit spatial correlation patterns resembling ENSO-induced patterns. …”
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Examining the Variability in Planetary Boundary Layer Height over Thailand: Correlations with ENSO and Aerosol Optical Depth by Sirapong Sooktawee, Khwanruthai Renuhom, Siriwan Kaewket, Aduldech Patpai, Pramet Kaewmesri, Thongchai Kanabkaew, Pichnaree Lalitaporn

“…EOF analysis reveals three interesting principal components (DecPC2, JanPC3, and FebPC2) that account for 11.3–23.5% of the total PBLH variance and that exhibit spatial correlation patterns resembling ENSO-induced patterns. …”
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Insights of cellular and molecular changes in sugarcane response to oxidative signaling by Lucas Felipe Silva, Kellya F. M. Barreto, Helaine Cristiane Silva, Iara Dantas de Souza, Carlos H. S. G. Meneses, Adriana F. Uchôa, Katia C. Scortecci

“…Bioinformatics, including Principal Component Analysis, revealed distinct proteomic profiles in roots and leaves, indicating tissue-specific metabolic reprogramming. …”
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Effects of exogenous SLs on growth and physiological characteristics of flue-cured tobacco seedlings under different degrees of drought stress by Xiao-dong Wang, Yi-nan Zhang, Xiao-guo Wang, Ye Zhuang, Shao-hua Ge

“…The primary drought tolerance traits were identified from 29 related indicators, including agronomic traits, photosynthetic efficiency, reactive oxygen metabolism, antioxidant enzyme activities, osmotic regulators, and hormone regulation, using affiliation function, principal component analysis, and cluster analysis to categorize the traits. …”
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Resilient heritage language maintenance: the interplay of family, culture, and pragmatic choices by Orsolya Bilgory-Fazakas, Sharon Armon-Lotem, Sharon Armon-Lotem

“…Self-rated language fluency was measured using the CEFR scale, and data were analysed using Principal Component Analysis (PCA) and multilinear regression to identify predictors of HL transmission and maintenance. …”
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NORDIC denoising on VASO data by Lasse Knudsen, Lasse Knudsen, Luca Vizioli, Federico De Martino, Lonike K. Faes, Daniel A. Handwerker, Steen Moeller, Peter A. Bandettini, Peter A. Bandettini, Laurentius Huber

“…NOise Reduction with DIstribution Corrected (NORDIC) PCA (principal component analysis) is a denoising technique specifically aimed at suppressing thermal noise, which has proven useful for increasing the SNR of high-resolution functional data. …”
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Transcriptome profiling of Hyacinthus orientalis L. cultivars in floral pigmentation by Kwan-Ho Wong, Hoi-Yan Wu, Cheryl Wood-Yee Shum, Jerome Ho-Lam Hui, Pang-Chui Shaw, David Tai-Wai Lau

“…The reproducibility and variability of our dataset were assessed through correlation analysis and principal component analysis, respectively. …”
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Population structure in a fungal human pathogen is potentially linked to pathogenicity by E. Anne Hatmaker, Amelia E. Barber, Milton T. Drott, Thomas J. C. Sauters, Adiyantara Gumilang, Ana Alastruey-Izquierdo, Dea Garcia-Hermoso, Justin L. Eagan, Nancy P. Keller, Dimitrios P. Kontoyiannis, Oliver Kurzai, Antonis Rokas

“…We use single nucleotide polymorphisms to build a phylogeny, analyze admixture, and perform discriminant analysis of principal components. We identify five A. flavus populations, including a new population, D, corresponding to distinct clades in the genome-wide phylogeny. …”
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Enterotype-stratified gut microbial signatures in MASLD and cirrhosis based on integrated microbiome data by Heng Yuan, Heng Yuan, Junyu Zhou, Junyu Zhou, Xuangao Wu, Shiwei Wang, Sunmin Park, Sunmin Park

“…Enterotype classification was performed using principal component analysis, with advanced bioinformatics tools, including Linear Discriminant Analysis Effect Size (LEfSe), eXtreme Gradient Boosting (XGBoost), and Deep Cross-Fusion Networks for Genome-Scale Identification of Pathogens (DCiPatho), to identify differentially abundant microbes and potential pathogens. …”
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Determination of Trace Elements in Corydalis conspersa and Corydalis linarioides by ICP-AES by Qing Du, Yanguo Cai, Zhi Chen, Dongliang Wei, Yande Cao, Ying Chen, Shulin Yu, Qianqian Zhao, Jiang Wu, Mingdi Liu

“…A 3-factor model was obtained by principal component analysis which could clarify 82.46% of the total experimental data; the factors of Al, Fe, Mg, Na, P, Ca, Cu, Si, and Zn had great influence on the efficacy of 21 kinds of medicinal materials. …”
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Is telomere length a biomarker for aging: cross-sectional evidence from the west of Scotland? by Geoff Der, G David Batty, Michaela Benzeval, Ian J Deary, Michael J Green, Liane McGlynn, Alan McIntyre, Tony Robertson, Paul G Shiels

“…In the majority of cases, telomere length adds predictive power to that of age, although it was not nearly as good a predictor overall. We used principal components analysis to form two composites from the measures of functioning, one including telomere length and the other not including it. …”
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Shapley additive explanations based feature selection reveals CXCL14 as a key immune-related gene in predicting idiopathic pulmonary fibrosis by Bin Chen, Lu Huan, Junyu Lu, Jinhe Yuan

“…Data were annotated and normalized to minimize batch effects and technical variability. Principal Component Analysis (PCA) verified preprocessing efficacy. …”
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New composite phenotypes enhance chronic kidney disease classification and genetic associations. by Kim Ngan Tran, Heidi G Sutherland, Andrew J Mallett, Lyn R Griffiths, Rodney A Lea

“…This knowledge gap may partly arise from the reliance on single biomarkers, such as estimated glomerular filtration rate (eGFR), to assess kidney function. To address this limitation, we developed and applied a novel multi-phenotype approach, combinatorial Principal Component Analysis (cPCA), to better understand the complex genetic architecture of CKD. …”
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A Statistical Optimization Method for Sound Speed Profiles Inversion in the South China Sea Based on Acoustic Stability Pre-Clustering by Zixuan Zhang, Ke Qu, Zhanglong Li

“…Disturbance mode principal component analysis is first used to extract characteristic parameters, and then a machine learning clustering algorithm is adopted to pre-classify SSP samples according to acoustic stability. …”
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Hydrochemical Characteristics and Control Factors of Strontium Enrichment of Groundwater in the Eastern Sanjiang Plain, China by Jingjie Li, Mingguo Wang, Tao Yang, Sheng Lian, Huaisheng Zhang, Chao Bian, Xuqing Wang, Shixiong Tian

“…Strontium (Sr) is one of the essential trace elements in the human body, which has important biological significance for human physiological function. In this paper, 41 groundwater samples collected from Shengli Farm in the eastern Sanjiang Plain were used to study the hydrochemical characteristics of Sr2+ enrichment and its control factors by correlation analysis, principal component analysis, and Gibbs model, which is helpful to guide the rational development and utilization of local groundwater resources and ecological environment protection.The findings indicate that the groundwater exists in a reducing environment characterized by acidity and low salinity, with predominant cations being Ca2+ and Mg2+, and predominant anions being HCO3−. …”
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Carbon Metabolic Profiling as a Response to Previous Plant Mycotrophy and Soil Disturbance in Wheat Growth by Taiana Conceição, Galdino Andrade, Isabel Brito

“…In the legume, an increase in the metabolism of amine/amides and phenolic acids was observed, whilst in the grass, an increase in the metabolism of phosphate-carbons (P carbon) and carbohydrates was more evident. Principal component analysis showed that a grouping in the distinct phases of the experiment correlated with the widening of the metabolism of amino acids, carboxylic acids, and carbohydrates. …”
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Identification of novel amides and alkaloids as putative inhibitors of dopamine transporter for schizophrenia using computer-aided virtual screening by Iqra Ahmad, Anam Tassawer, Muhammad Umer Khan, Muhammad Shehroz, Umar Nishan, Umar Nishan, Sheheryar Sheheryar, Hanna Dib, Mohamed A. O. Abdelfattah, Mohibullah Shah, Mohibullah Shah

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NC Machine Tools Fault Diagnosis Based on Kernel PCA and k-Nearest Neighbor Using Vibration Signals by Zhou Yuqing, Sun Bingtao, Li Fengping, Song Wenlei

“…This paper focuses on the fault diagnosis for NC machine tools and puts forward a fault diagnosis method based on kernel principal component analysis (KPCA) and k-nearest neighbor (kNN). …”
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Global Clustering Quality Coefficient Assessing the Efficiency of PCA Class Assignment by Mirela Praisler, Stefanut Ciochina

“…An essential factor influencing the efficiency of the predictive models built with principal component analysis (PCA) is the quality of the data clustering revealed by the score plots. …”
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AN ASSESSMENT OF THE DISPLACEMENT OF A CAM FOLLOWER USING REGULA FALSI METHOD by KOLAWOLE ADESOLA OLADEJO, DARE ADERIBIGBE ADETAN, ADEKOLA OLAYINKA OKE, RAHAMAN ABU, GANIU AYOOLA LAMID

“… Cam is a mechanical component that transforms circular motion to reciprocating motion by using mating component, called the follower. …”
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