Mineral Element Contents in Commercially Valuable Fish Species in Spain by Ana Rivas, Luis Peña-Rivas, Eduardo Ortega, Concepción López-Martínez, Fátima Olea-Serrano, Maria Luisa Lorenzo

“…The aim of this study was to measure selected metal concentrations in Trachurus trachurus, Trachurus picturatus, and Trachurus mediterraneus, which are widely consumed in Spain. Principal component analysis suggested that the variable Cr was the main responsible variable for the identification of T. …”
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Cell Consistency Evaluation Method Based on Multiple Unsupervised Learning Algorithms by Jiang Chang, Xianglong Gu, Jieyun Wu, Debu Zhang

“…We extract battery-related features, such as the mean of maximum difference, standard deviation, and entropy of batteries and then apply principal component analysis to reduce the dimensionality and record the amount of preserved information. …”
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KARAKTER CITRA ARSITEKTURAL DAN DESKRIPSI TEMPAT WISATA BERBASIS PERSEPSI SWAFOTO by Alvin Try Dandy, Hanson Endra Kusuma, Allis Nurdini, Ofita Purwani

“…Pada tahap kuantitatif, data dikumpulkan menggunakan kuesioner daring dan dianalisis menggunakan principal component analysis (PCA) serta factor analysis (FA). …”
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How Phenolic Compounds Profile and Antioxidant Activity Depend on Botanical Origin of Honey—A Case of Polish Varietal Honeys by Katarzyna Jaśkiewicz, Teresa Szczęsna, Jacek Jachuła

“…Neither clustering method nor principal component analysis (PCA) showed clear separation of each honey variety, possibly due to high intra-variety diversities. …”
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A Novel Approach of Label Construction for Predicting Remaining Useful Life of Machinery by Hailong Lin, Zihao Lei, Guangrui Wen, Xiaojun Tian, Xin Huang, Jinsong Liu, Haoxuan Zhou, Xuefeng Chen

“…Then, a nonlinear degradation index, the RUL label with the turning point, was constructed based on principal component analysis (PCA). Finally, the recurrent neural network (RNN) is used for prediction and verification. …”
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Analysis of the state of sustainable development and key targets: A case study of China and “Belt and Road” countries by Shun Chen, Ping Jiang, Pin Zuo, Zolboo Dashnyam

“…By applying data from the Sustainable Development Solutions Network (SDSN) and Bertelsmann Stiftung, and utilizing social network analysis and principal component analysis, the study identifies key SDGs and explores their interlinkages across these countries. …”
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Dietary Patterns and Their Association with Metabolic Syndrome and Their Components in Middle-Class Adults from Damascus, Syria: A Cross-Sectional Study by Malda Atasi, Ashuin Kammar-García, Rafael Almendra-Pegueros, Addi Rhode Navarro-Cruz

“…A nutritional and food study was carried out using previously validated forms containing 62 items in which the food intake of the participants was studied. We apply principal component analysis and factor analysis to detect nutritional components and dietary patterns. …”
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Disentangling Tinnitus Distress and Tinnitus Presence by Means of EEG Power Analysis by Martin Meyer, Matthias S. Luethi, Patrick Neff, Nicolas Langer, Stefan Büchi

“…The study was meant to disentangle TI with high distress from those who suffer less from persistent tinnitus based on both neurophysiological and behavioral data. A principal component analysis of psychometric data uncovers two distinct independent dimensions characterizing the individual tinnitus experience. …”
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Analysis of Volatile Components in Tremella fuciformis by Electronic Nose Combined with GC-MS by Lijun Fu, Jing Tian, Li Liu, Yongzheng Ma, Xiumin Zhang, Changyang Ma, Wenyi Kang, Yong Sun

“…The results showed that the electronic nose combined with the principal component analysis method could distinguish the samples from four regions with good discrimination. …”
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Quantitative Ecological Study of Pilan Forest as a Baseline for Development of Gianyar Botanic Garden by Farid Kuswantoro, I Nyoman Lugrayasa, Wawan Sujarwo

“…Data analysis was performed by utilising the importance value index, Shannon-Wiener diversity index, similarity index, cluster analysis, and principal component analysis (PCA). Plant communities in Pilan Forest were dominated by Magnolia montana(Blume) Figlar and Arenga pinnata(Wurmb) Merr. at the canopy level and Daemonorops sp. in the understorey level. …”
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Study on Evaluation Theory of Bridge Damage State and Methodology on Early Warning of Danger by Guofu Jiang, Qianxue Liang, Hua Wang, Yucai Ju, Haihua Wang, Xirui Wang, Longlin Wang, Wensheng Wang

“…According to the evaluation results, combined with mathematical-statistical analysis methods and principal component analysis methods, the methodology on early warning of danger for bridge structures can be realized. …”
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Evaluation of Soil Quality for Different Types of Land Use Based on Minimum Dataset in the Typical Desert Steppe in Ningxia, China by Ying Tian, Zhe Xu, Jun Wang, Zhanjun Wang

“…Physical, chemical, and biological indicators, a total number of twenty, were measured. Principal component analysis and norm values were used to select indicators based on the MDS. …”
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Morphological variability of otolith organs in three congeneric Pagellus species by Bostanci Derya, Yedier Serdar, Türker Dilek, Işmen Ali

“…The results of principal component analysis (PCA) of the wavelet data provided a clear distinction between the groups under study. …”
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Statistical Tools for Air Pollution Assessment: Multivariate and Spatial Analysis Studies in the Madrid Region by David Núñez-Alonso, Luis Vicente Pérez-Arribas, Sadia Manzoor, Jorge O. Cáceres

“…The multivariate analysis employing correlation analysis, principal component analysis (PCA), and cluster analysis (CA) resulted in establishing a correlation between different pollutants. …”
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A Multivariate Methodological Workflow for the Analysis of FTIR Chemical Mapping Applied on Historic Paint Stratigraphies by Giorgia Sciutto, Paolo Oliveri, Silvia Prati, Emilio Catelli, Irene Bonacini, Rocco Mazzeo

“…Initially, principal component analysis (PCA) is performed and the score values are converted into chemical maps. …”
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Technological Innovation of China′s Rail Transit Equipment and Its Value Evaluation from the Perspective of Patents by XIE Aiqing, REN Shengce

“…Four patent indicators are adopted to evaluate the patent value of major applicants and technological fields based on the principal component analysis method. ［Result & Conclusion］ The technological innovation in China′s rail transit equipment presents a growing trend, but the collaboration needs to be improved. …”
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Matching Subsequence Music Retrieval in a Software Integration Environment by Zhencong Li, Qin Yao, Wanzhi Ma

“…In this paper, the main melody features, MFCC features, GFCC features, and rhythm features, are extracted from audio data and a feature fusion algorithm is proposed to achieve the fusion of GFCC features and rhythm features to form new features under the processing of principal component analysis (PCA) dimensionality reduction. …”
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A dataset of gridded precipitation intensity-duration-frequency curves in Qinghai-Tibet Plateau by Zhihui Ren, Yan-Fang Sang, Peng Cui, Fei Chen, Deliang Chen

“…The generalized extreme value distribution is chosen to fit the annual maximum precipitation samples at 203 weather stations, based on which the at-site IDF curves are estimated; then, principal component analysis is done to identify the southeast-northwest spatial pattern of at-site IDF curves, and its first principal component gives a 96% explained variance; finally, spatial interpolation is done to estimate gridded IDF curves by using the random forest model with geographical and climatic variables as predictors. …”
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Utilization of Institutional Maternal Delivery and Associated Factors among Rural Women: A Case Study of High Priority District of Himachal Pradesh by Mandeep Kaur

“…Descriptive statistics, principal component analysis, and logistic regression were applied to find out the outcomes. …”
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Liquid Chromatography-Mass Spectrometry-Based Untargeted Metabolomics Analysis of Differential Metabolites in Three Types of Boza Made from Different Raw Materials by WANG Qi, GAO Yan, XUE Juanjuan, ZENG Jun, HUO Xiangdong, ZHAO Zhongkai

“…Multivariate statistical techniques such as principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were used to screening for differential metabolites, and pathway enrichment analysis of differential metabolites was carried out. …”
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