Construct validity of the simplified Chinese version of the instrument ‘Picture My Participation’ by Linjun Shi, Mats Granlund, Yue Zhao, Karina Huus

“…Exploratory factor analysis (EFA) was performed using the principal component analysis (PCA) to analyse the resulting data.Results The EFA extracted five factors with eigenvalues greater than one and the cumulative contribution rate of factors accounted for 51.62% of the variance. …”
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Direct Analysis in Real Time by Mass Spectrometric Technique for Determining the Variation in Metabolite Profiles of Cinnamomum tamala Nees and Eberm Genotypes by Vineeta Singh, Atul Kumar Gupta, S. P. Singh, Anil Kumar

“…These constituents vary in the different genotypes of Cinnamomum tamala. Principal component analysis has also been employed to analyze the DART data of these Cinnamomum genotypes. …”
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1H NMR-Based Metabolic Profiling of Urine from Mice Fed Lentinula edodes-Derived Polysaccharides by Xu Xiaofei, Yang Jiguo, Ning Zhengxiang, Zhang Xuewu

“…In this study, 1H NMR spectroscopy approach was employed to investigate the metabolic profiles of the urine from adult mice after L2 intervention. Using principal component analysis (PCA) and partial least squares-discriminate analysis (PLS-DA), 22 potential biomarkers were found to be mainly involved in some metabolic pathways: amino acid metabolism, energy metabolism, lipid metabolism, tricarboxylic acid (TCA) cycle, urea cycle and gut microbiota metabolism. …”
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Deep learning-based differential gut flora for prediction of Parkinson's. by Bo Yu, Hang Zhang, Min Zhang

“…Subsequently, a preprocessing method called CRFS (combined ranking using random forest scores and principal component analysis contributions) was introduced for feature selection. …”
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Macronutrient Distribution on the North Coast of Pekalongan City, Central Jawa, Indonesia: Implications for Water Quality by Andreas Roy, Megasari Intan, Trenggono Mukti, Hendrayana Hendrayana, S Oktaviani Ade

“…Data analysis of this study used Principal Component Analysis (PCA) and CCME-Water Quality Index methods. …”
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Climate Regionalization of Asphalt Pavement Based on the K-Means Clustering Algorithm by Yanhai Yang, Baitong Qian, Qicheng Xu, Ye Yang

“…First, meteorological data from the research region were statistically analyzed and the major climate variables were identified. Then, a principal component analysis (PCA) was used to eliminate any correlation between the major climate variables. …”
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Exploring the Effects of Imidacloprid on Liver Health and the Microbiome in Rats: A Comprehensive Study by Alaa T. Qumsani

“…Subsequent beta diversity analysis, as visualized by principal component analysis, showed distinct clustering among the microbial communities, separated well between control and imidacloprid-treated groups, especially at higher dosages. …”
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Basin dependencies of tropical cyclone genesis environment and possible future changes revealed by machine learning methods by QiFeng Qian, YeFeng Chen, XiaoJing Jia, Hao Ma, Wei Dong

“…This study uses principal-component analysis (PCA), confidence ellipses, and correlation circles to analyze TC genesis environments across ocean basins. …”
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Optimized Novel Text Embedding Approach for Fake News Detection on Twitter X: Integrating Social Context, Temporal Dynamics, and Enhanced Interpretability by Mahmoud AlJamal, Rabee Alquran, Ayoub Alsarhan, Mohammad Aljaidi, Wafa’ Q. Al-Jamal, Ali Fayez Alkoradees

“…This paper introduces an optimized approach for Fake News Detection, combining BERT and GloVe embeddings with Principal Component Analysis (PCA) and attention mechanisms, enriched by social and temporal features for more effective text representation. …”
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HPLC Fingerprint Analysis of Rana chensinensis Eggs from Different Habitats and Their Antitussive Effect by Yang Xu, Fangfei Xu, Yuejie Wang, Xu Wang, Huiwei Bao

“…Cluster analysis and principal component analysis were performed. Besides, the antitussive effect of RE was explored. …”
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Functional feature extraction and validation from twelve-lead electrocardiograms to identify atrial fibrillation by Wei Yang, Rajat Deo, Wensheng Guo

“…Methods We apply functional principal component analysis to the raw ECG tracings collected in the Chronic Renal Insufficiency Cohort (CRIC) study. …”
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Assessing the Ecological Risk of Polycyclic Aromatic Hydrocarbons in Sediments at Langkawi Island, Malaysia by Essam Nasher, Lee Yook Heng, Zuriati Zakaria, Salmijah Surif

“…Diagnostic ratios and principal component analysis suggested that the PAHs were likely to originate from pyrogenic and petrogenic sources. …”
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Predicting Early Bulbar Decline in Amyotrophic Lateral Sclerosis: A Speech Subsystem Approach by Panying Rong, Yana Yunusova, Jun Wang, Jordan R. Green

“…The instrumental measures of the subsystem functions were subjected to a principal component analysis and linear mixed effects models to derive a set of comprehensive predictors of bulbar dysfunction. …”
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Testing the influence of spectral resolution for binary change detection accuracies using simulated multispectral bands resampled from hyperspectral data by Nugraha Wahyu Ananta, Damarjati Safri, Arjasakusuma Sanjiwana

“…The PRISMA datasets were resampled into the spectral resolution of RapidEye (4-bands), Landsat-8 (8bands), Sentinel-2 (13-bands), and MODIS (19-bands), apart from the original spectral resolution (237-bands) that were used for detecting change using the Principal Component Analysis and KMeans unsupervised analysis methods (PCA-Kmeans). …”
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DTI-MHAPR: optimized drug-target interaction prediction via PCA-enhanced features and heterogeneous graph attention networks by Guang Yang, Yinbo Liu, Sijian Wen, Wenxi Chen, Xiaolei Zhu, Yongmei Wang

“…Subsequently, principal component analysis is applied to distill the most informative features, with the random forest algorithm employed for the final decoding of the integrated data. …”
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Feature Extraction of Broken Glass Cracks in Road Traffic Accident Site Based on Deep Learning by Shuai Liang

“…In order to improve the discriminative power of the depth descriptor, Hellinger kernel and Principal Component Analysis (PCA) are used to perform nonlinear and linear transformations. …”
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Audio-Language Datasets of Scenes and Events: A Survey by Gijs Wijngaard, Elia Formisano, Michele Esposito, Michel Dumontier

“…The survey evaluates acoustic and linguistic variability across datasets through principal component analysis of audio and text embeddings. The survey also analyzes data leakage through CLAP embeddings, and examines sound category distributions to identify imbalances. …”
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The Influence of the Variety, Vineyard, and Vintage on the Romanian White Wines Quality by Anamaria Hosu, Veronica Floare-Avram, Dana Alina Magdas, Ioana Feher, Mihai Inceu, Claudia Cimpoiu

“…The differentiation of selected wines on the basis of tested parameters was investigated using chemometric techniques, such as analysis of variance, cluster analysis, and principal component analysis. The experimental results are in agreement with other outcomes and allow concluding that variety and vineyard have the major influence on the studied parameters, but, also, statistical interaction effect between year and vineyard and year and variety is observed in some cases. …”
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Treatment of Cancer Gene Changes in Chronic Myeloid Leukemia by Big Data Analysis Platform-Based Dasatinib by Linlin Song, Qi Li, Hui Shi, Pengxia Zhang

“…At the same time, the gene expression profile was analyzed by principal component analysis (PCA) in the analysis system. In addition, the efficacy of dasatinib in the treatment of patients with advanced CML was then retrospectively analyzed. …”
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Correlations between Texture Profile Analysis and Sensory Evaluation of Cured Largemouth Bass Meat (Micropterus salmoides) by Meijin Li, Jiajun Huang, Yanan Chen, Xiaoyan Zu, Guangquan Xiong, Hailan Li

“…Results from the principal component analysis showed that the main indicators that affected the TPA were gumminess and springiness, while those that affected sensory evaluation were chewiness and adhesiveness. …”
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