Common Cycles and Baltic-Nordic Economic Integration by Hegerty Scott William

“…Common regional cycles are also extracted via Principal Components Analysis for the three Baltic countries and for the Nordic countries of Denmark, Finland, Norway, and Sweden. …”
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Rapid diagnosis of latent and active pulmonary tuberculosis by autofluorescence spectroscopy of blood plasma combined with artificial neural network algorithm by Fengjiao Yue, Si Li, Lijuan Wu, Xuerong Chen, Jianhua Zhu

“…By optimizing the ANN structure and activation functions, the ANN three-classification model achieves average classification accuracy of 96.3 %, and the accuracy of healthy persons, latent TB infections and active TB patients are 100 %, 83.3 % and 97.5 %, respectively, which is much better than the results of traditional Principal component analysis (PCA) and Linear discriminant analysis (LDA) method. …”
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Multi-clustering algorithm based on improved tensor chain decomposition by ZHANG Hongjun, ZHANG Zeyu, ZHANG Yingjiao, YE Hao, PAN Gaojun

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Decoding pedestrian and cyclist mobility perceptions through drawings by Roberto Rodríguez-Rodríguez, Anshell Maylin, Analissa Icaza, Angelino Harris, Jorge Quijada-Alarcón

“…These drawings were then coded using 20 key elements (e.g. sidewalks, ramps, tactile guides). Correlation analysis revealed significant co-occurrences among elements, and Principal Component Analysis (PCA) identified three main dimensions underlying group-level representations: ‘Safety and Comfort in Pedestrian Infrastructure’, ‘Accessibility and Support for Universal Mobility’ and ‘Sustainability and Inclusion in Active Mobility’. …”
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Recursive Shrinking Toward Effective Cluster Isolation for Robust Electronic Noses by Shiv Nath Chaudhri

“…This work proposes recursive shrinking towards effective cluster isolation utilizing the synergy of principal component analysis and the bisection method. …”
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PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things by Mutkule Prasad Raghunath, Shyam Deshmukh, Poonam Chaudhari, Sunil L. Bangare, Kishori Kasat, Mohan Awasthy, Batyrkhan Omarov, Rajesh R. Waghulde

“…Conversely, all numerical features are translated back into symbolic form at the conclusion of the procedure. Principal component analysis is employed to achieve the objective of attribute extraction. …”
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Combined effect of cinnamon essential oil-chitosan coating and modified atmosphere packaging on the quality of chilled meat by ZHOU Qiang, LIU Mengjia, ZHANG Baoshan, LEI Changgui, MENG Yuzhu

“…The linear regression function for the first principal component was Y₁=0.128X₁+0.126X₂+0.128X₃+0.129X₄+0.129X₅－0.123X₆－0.126X₇+0.128X₈, which can provide data support and reference for the low temperature preservation of chilled meat.…”
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The abundance and sett ecological characteristics of the Asian badger (Meles leucurus) in the Northeast Tiger and Leopard National Park (NE China) by Jiawei Li, Dongrui Li, Yanwen Fu, Yiwen Ma, Jianping Ge, Limin Feng

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Exploring seed characteristics and performance through advanced physico-chemical techniques by Dhanalakshmi Vadivel, Rania Djemal, Jessica García, Andrea Pagano, Rahma Trabelsi, Maroua Gdoura-Ben Amor, Safa Charfeddine, Siwar Ghanmi, Ibtisem Khalifa, Mariem Rekik, Fatma Amor, Chantal Ebel, Radhouane Gdoura, Amine Elleuch, Alma Balestrazzi, Anca Macovei, Moez Hanin, Daniele Dondi

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Correlation analysis between key volatile compounds and core functional bacterial community during Sichuan black tea processing by Si-yu Liao, Shuang Yang, Bi-lin Li, Xue Xia, Wen-bao Jia, Yi-qiao Zhao, Ling Lin, Jin-lin Bian, Tunyaluk Bouphun, Wei Xu

“…During the processing of SBT, Methylobacterium-Methylorubrum, Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium, Pedobacter, Acidovorax, and Sphigomonas were the dominant bacterial genera. PCoA (principal components analysis)and Anoism (analysis of similarities) indicated that the bacterial community undergone subtle changes in various processes. …”
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Enhancing the socio-cultural valuation of ecosystem services in Mountain animal production: a case study from piedmont’s alpine valley (North-west Italy) by Chiara Costamagna, Valentina Maria Merlino, Danielle Borra, Lorenzo Baima, Paolo Cornale, Luca Maria Battaglini

“…The responses about the ES perception were analysed using the Principal Component Analysis. The new principal components were employed to cluster the sample in the function of individuals’ perceptions of ecosystem services. …”
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Asymptotic Distributions of Estimators of Eigenvalues and Eigenfunctions in Functional Data

“…To analyse functional data, one way, which is widely used, is to employ principal component analysis, allowing finite dimensional analysis of the problem. …”
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Response of conifers to UV-B and climate in mountain areas by S.L. Bondarenko, D.A. Savchuk

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Functional Connectome Fingerprinting Through Tucker Tensor Decomposition by Vitor Carvalho, Mintao Liu, Jaroslaw Harezlak, Ana María Estrada Gómez, Joaquín Goñi

“…Relative to FC matrices as well as to Principal Components Analysis (PCA), tensor decomposition significantly increases the functional connectome’s fingerprint. …”
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Comparative Analysis of Volatile Organic Compounds in Different Parts of Ginseng Powder Using Gas Chromatography–Ion Mobility Spectrometry by Manshu Zou, Ximing Yu, Yuhuan Liu, Lijun Zhu, Feilin Ou, Chang Lei

“…In addition, combined with fingerprint analysis, principal component analysis (PCA), Euclidean distance, partial-least squares discriminant analysis (PLS-DA), and cluster analysis (CA), it clearly showed the significant differences between VOCs in different parts of ginseng powder. …”
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Identification of High-Photosynthetic-Efficiency Wheat Varieties Based on Multi-Source Remote Sensing from UAVs by Weiyi Feng, Yubin Lan, Hongjian Zhao, Zhicheng Tang, Wenyu Peng, Hailong Che, Junke Zhu

“…Furthermore, the research conducted principal component analysis (PCA) and membership function analysis on the predicted values of the optimal models for each indicator, established a comprehensive evaluation index for high photosynthetic efficiency, and employed cluster analysis to screen the test materials. …”
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Diagnostic Stratification of Prostate Cancer Through Blood-Based Biochemical and Inflammatory Markers by Donatella Coradduzza, Leonardo Sibono, Alessandro Tedde, Sonia Marra, Maria Rosaria De Miglio, Angelo Zinellu, Serenella Medici, Arduino A. Mangoni, Massimiliano Grosso, Massimo Madonia, Ciriaco Carru

“…<b>Methods:</b> In a cohort of 514 patients with suspected PCa, we performed a univariate analysis (Kruskal–Wallis and ANOVA) with preprocessing via adaptive Box–Cox transformation and missing value imputation through probabilistic principal component analysis (PPCA). …”
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Dissecting Morphological and Functional Dynamics of Non‐Tumorigenic and Triple‐Negative Breast Cancer Cell Lines Using PCA and t‐SNE Analysis by Yazan A. Almahdi, Eva R. Schwark, Aidan J. Mclaughlin, Besa Xhabija

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Investigating dynamic brain functional redundancy as a mechanism of cognitive reserve by Julia Schwarz, Franziska Zistler, Adriana Usheva, Anika Fix, Sebastian Zinn, Juliana Zimmermann, Franziska Knolle, Franziska Knolle, Gerhard Schneider, Rachel Nuttall

“…Cognitive scores were extracted from principal component analysis performed on 13 cognitive tests across multiple cognitive domains. …”
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Tensor‐structured decomposition improves systems serology analysis by Zhixin Cyrillus Tan, Madeleine C Murphy, Hakan S Alpay, Scott D Taylor, Aaron S Meyer

“…CMTF outperforms standard methods like principal components analysis in the extent of data reduction while maintaining equivalent prediction of immune functional responses and disease status. …”
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