Decoding chemical interactions among pomegranate, Aphis punicae, and associated insects in Taif fields through open-loop stripping by Nour Houda M’sakni, Taghreed Alsufyani, Noura J. Alotaibi

“…Profiling was conducted across four ecological scenarios through integrated in-situ experimentation: (G1) AIP, (G2) AIP with ants, (G3) AIP with ants and ladybirds (24h), and (G4) AIP with ants and ladybirds (48h). Principal component analysis and heatmap clustering revealed scenario-specific VOC fingerprints. …”
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Synergistic effects of bee pollen and propolis extract on protein bar properties: a multivariate chemometric analysis by Fatemeh Poureshmanan Talemi, Amir Pourfarzad, Siamak Gheibi

“…Principal component analysis (PCA) and partial least squares regression (PLSR) confirmed strong correlations between protein secondary structures and quality parameters. …”
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Non-Targeted Lipidomics Analysis of Characteristic Milk Using High-Resolution Mass Spectrometry (UHPLC-HRMS) by Tingting Wei, Tianxiao Zhou, Shenping Zhang, Zhexue Quan, Yang Liu

“…Jersey milk and Holstein milk displayed similar lipid profiles, with stable compositions suitable for versatile dairy product development. Principal component analysis (PCA), hierarchical clustering, and volcano plot analyses further confirmed species-specific lipidomic signatures and revealed several potential lipid biomarkers, such as LPC (O-16:0) in Hongyuan yak milk, suggesting applications in geographical indication (GI) traceability. …”
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Enhancing power transformer health assessment through dimensional reduction and ensemble approaches in Dissolved Gas Analysis by Abdelmoumene Hechifa, Saurabh Dutta, Abdelaziz Lakehal, Hazlee Azil Illias, Arnaud Nanfak, Chouaib Labiod

“…The method involves fusing reduced dimensional input features through Principal Component Analysis with Ensemble techniques such as Bagging, Decorate, and Boosting. …”
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Metabolomic Analysis Reveals Differences in Flavonoids and Carotenoids in the Peel of Coffea arabica L. before and after Ripeness by Zuquan WANG, Yulong TAN, Yinnan GUO, Chun XIE, Xuejun LI, Huabo DU, Siying YU, Chuanli ZHANG

“…Ultra-performance liquid chromatography coupled with tandem mass spectrometry (UPLC-MS/MS) was employed to analyze the metabolite profiles, in combination with principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA), and clustering analysis. …”
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Assessment of the effectiveness of management of innovative development institutions at the meso level by Yu. A. Abutalipova

“…To assess the effectiveness, it was planned to form a comprehensive indicator of of light industry development based on the results of factor analysis (by the method of principal components). It has concluded that the creation and development of a technological digital environment contribute to the effective interaction between various sectors of the economy and market entities, which is based on regulatory and legal regulation, ensuring information security, developing innovative infrastructure, providing highly qualified personnel in the industry.…”
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Low-Rank Representation and Data Compression of Full-Field Displacement Maps for Structural Modal Analysis and Damage Identification by Yankun Li, Yu Huang, Ziguang Li, Zhiping Yin, Shancheng Cao

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Analysis of environmental protection priority zones and their impacts on urban planning in small- and medium-sized cities of Indonesia by Rizal Imana, Andrea Emma Pravitasari, Didit Okta Pribadi

“…These indices were subsequently subjected to principal component analysis (PCA) to extract orthogonal factors, which were summed to derive the final index value. …”
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Plantar pressure classification and feature extraction based on multiple fusion algorithms by Xiaotian Bai, Xiao Hou, Yiling Song, Zhengyan Tang, Hongfeng Huo, Jingmin Liu

“…Abstract Using multiple fusion algorithms to optimize the classification and feature extraction of plantar pressure during walking stance phase in healthy people, and explore the diversity of plantar pressure distribution. 243 healthy young male individuals was studied to collect data on plantar impulse and maximum pressure indices from ten distinct regions of the foot during walking. Principal component analysis was utilized to reduce the dimensionality of the data. …”
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Volatile profile and multivariant analysis of Sanhuang chicken breast in combination with Chinese 5-spice blend and garam masala by Rani Andaleeb, Danni Zhang, Shui Jiang, Yin Zhang, Yuan Liu

“…The flavour profiles of Sanhuang chicken breast (CB) and its blends with CS and GM were obtained by electronic nose (E-nose), solid-phase microextraction gas chromatography-mass spectrometry (SPME GC-MS) and GC-ion mobility spectrometry (GC-IMS). Principal component analysis (PCA) efficiently discriminated the aroma profiles of three chicken formulations. …”
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Evaluating pain outcomes in Chinese ophthalmology patients using the APS-POQ-R-C: a Rasch analysis by Meina Huang, Meina Huang, Zheyi Chen, Zheyi Chen

“…Using a sample of 294 valid questionnaires, multiple aspects of the scale were tested, including unidimensionality, local independence of items, reliability and separation, item fit, person–item mapping, test information function, and differential item functioning (DIF) analysis.ResultsPrincipal component analysis of residuals, explained common variance (0.61) and omega hierarchical (0.72) of the APS-POQ-R-C scale demonstrates essential unidimensionality. …”
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Identification and experimental validation of ulcerative colitis-associated hub genes through integrated WGCNA and lysosomal autophagy analysis by Yuanpei Zhao, Yijun Li, Qingwen Xu, Lili Ding, Weiming Li, Qinghua Zou, Yichen Hu, Kaiwen Shi, Hongyuan Liu

“…Methods The GSE47908 dataset from the Gene Expression Omnibus (GEO) was subjected to principal component analysis (PCA), followed by stratified identification of differentially expressed genes (DEGs) across UC subtypes. …”
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SpecDis: Value Added Distance Catalog for 4 Million Stars from DESI Year-1 Data by Songting Li, Wenting Wang, Sergey E. Koposov, Ting S. Li, Youjia Wu, Monica Valluri, Joan Najita, Carlos Allende Prieto, Amanda Byström, Christopher J. Manser, Jiaxin Han, Carles G. Palau, Hao Yang, Andrew P. Cooper, Namitha Kizhuprakkat, Alexander H. Riley, Leandro Beraldo e Silva, Jessica Nicole Aguilar, Steven Ahlen, David Bianchi, David Brooks, Todd Claybaugh, Axel de la Macorra, John Della Costa, Arjun Dey, Peter Doel, Jaime E. Forero-Romero, Enrique Gaztañaga, Satya Gontcho A Gontcho, Gaston Gutierrez, Klaus Honscheid, Mustapha Ishak, Stephanie Juneau, Robert Kehoe, Theodore Kisner, Anthony Kremin, Martin Landriau, Laurent Le Guillou, Michael Levi, Marc Manera, Aaron Meisner, Ramon Miquel, John Moustakas, Nathalie Palanque-Delabrouille, Will Percival, Claire Poppett, Francisco Prada, Ignasi Pérez-Ràfols, Graziano Rossi, Eusebio Sanchez, David Schlegel, Michael Schubnell, Hee-Jong Seo, Joseph Harry Silber, David Sprayberry, Gregory Tarlé, Benjamin Alan Weaver, Rongpu Zhou, Hu Zou

“…To build up an unbiased training sample, we do not apply selections on parallax error or signal-to-noise (S/N) of the stellar spectra, and instead, we incorporate parallax error into the loss function. Moreover, we employ principal component analysis to reduce the noise and dimensionality of stellar spectra. …”
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HS-GC-IMS and ATR-FT-MIR Analysis Reveal the Differences in Volatile Compounds, Proteins, and Polyphenols of Royal Jelly by Di Chen, Wenjing Lu, Qin Ye, Cen Zhang, Xiao Ge, Chaogeng Xiao

“…The results showed that the flavor can be distinguished using HS-GC-IMS based on principal component analysis and 26 compounds, including esters, aldehydes, and ketone, were identified as the differential volatile compounds in RJ. …”
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Genome-wide selection signal analysis reveals copy number variation associated with litter size in Guizhou Black goat by Yanpin Zhao, Yong Han, Yong Han, Chao Yuan, Yang Yang, Yong Long, Wen Xiao

“…Genetic analysis: Phylogenetic tree construction and principal component analysis (PCA) were performed to assess genetic differences between the two groups. …”
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Gene expression profiling in pure neural leprosy: insights into pathogenesis and diagnostic biomarkers by Mariana Martins de Athaide, Thyago Leal-Calvo, Tatiana Pereira Da Silva, Thabatta Leal Silveira Andrezo Rosa, Helen Ferreira, Bernardo Miguel de Oliveira Pascarelli, Ana Caroline Siquara de Sousa, Marcia Rodrigues Jardim, Marcia Rodrigues Jardim, Marcia Rodrigues Jardim, Marcia Rodrigues Jardim, Marcia Rodrigues Jardim, Roberta Olmo Pinheiro, Roberta Olmo Pinheiro, Roberta Olmo Pinheiro

“…These findings may guide early diagnosis and improve patient outcome.MethodsIn the present study, we investigated the gene profiling of nerve samples from patients with PNL and revealed significant transcriptomic alterations compared to non-leprosy controls.ResultsPrincipal Component Analysis (PCA) of the 500 most differentially expressed genes separated the groups, with 1,199 genes showing differential expression (|log2FC| ≥ 1, FDR ≤ 0.1). …”
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Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning by Bin He, Yan Cheng, Juan Wang, Ya Zhan, YanQun Liu

“…Differential gene expression and clustering were performed, followed by principal component analysis (PCA) to identify significant cell types. …”
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Application of deep learning models on single-cell RNA sequencing analysis uncovers novel markers of double negative T cells by Tian Xu, Qin Xu, Ran Lu, David N. Oakland, Song Li, Liwu Li, Christopher M. Reilly, Xin M. Luo

“…Conventional machine learning approaches such as principal component analysis have been employed in single-cell RNA sequencing (scRNA-seq) analysis to characterize DNT cells. …”
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Identifying Inhibitor-SARS-CoV2-3CL^pro Binding Mechanism Through Molecular Docking, GaMD Simulations, Correlation Network Analysis and MM-GBSA Calculations by Jianzhong Chen, Jian Wang, Wanchun Yang, Lu Zhao, Xiaoyan Xu

“…Our findings indicate that a CNA-identified node in domain II of 3CL^pro acts as a conduit, transferring conformational changes from the catalytic regions in domains I and II, triggered by the binding of inhibitors (7YY, 7XB, and Y6G), to domain III, thereby modulating 3CL^pro’s activity. Normal mode analysis (NMA) and principal component analysis (PCA) revealed that inhibitor binding affects the structural flexibility and collective movements of the catalytic sites and domain III, influencing 3CL^pro’s function. …”
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Wood Species Recognition Based on Visible and Near-Infrared Spectral Analysis Using Fuzzy Reasoning and Decision-Level Fusion by Peng Zhao, Zhen-Yu Li, Cheng-Kun Wang

“…First, the wood spectral curve—with spectral bands of 376.64–779.84 nm and 950–1650 nm—was processed using the principal component analysis (PCA) dimension reduction algorithm. …”
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