Sources and methods of phosphorus application in maize cultivation by Idianara Fernanda Pizzatto, Alcir José Modolo, José Ricardo da Rocha Campos, Laércio Ricardo Sartor, Diego Fernando Daniel, Alessandro Bandeira Dalbianco, Rivanildo Dallacort

“…The data were submitted to analysis of variance using the F-test at a level of 5%, and to principal component analysis (PCA) with biplot graphical analysis. …”
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Effects of Predrying and Spontaneous Fermentation Treatments on Nib Acidification, Fermentation Quality, and Flavour Attributes of Ghanaian Cocoa (Theobroma cacao) Beans by Lukeman Haruna, Ernest E. Abano, Ernest Teye, Isaac Tukwarlba, Wilson Yeboah, Kesse J. Agyei, Mary Lukeman

“…In addition, a significantly higher preference was shown for cocoa liquor made from the beans predried for 4-6 hours and fermented for 6 days. Principal component analysis clustered samples according to the predrying time, fermentation duration, and quality parameters measured. …”
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Internal tides off the Amazon shelf in the western tropical Atlantic: analysis of SWOT Cal/Val mission data by M. Tchilibou, L. Carrere, F. Lyard, C. Ubelmann, G. Dibarboure, E. D. Zaron, B. K. Arbic

“…The estimation is improved by performing a principal component analysis before the harmonic analysis. The results compare very well with the high-resolution empirical tide (HRET) internal tide model, the reference product for internal tide corrections in altimetry observations. …”
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Long-term effects of institutional quality on financial inclusion in Asia–Pacific countries by Duc Hong Vo

“…This paper has developed a new index of institutional quality for countries in the Asia–Pacific region from 2004 to 2020 using the principal component analysis. We estimate the long-term effects of institutional quality on financial inclusion using long-term estimators, including the augmented mean group and the common correlated effects mean group estimators. …”
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Comprehensive Environmental Monitoring System for Industrial and Mining Enterprises Using Multimodal Deep Learning and CLIP Model by Shuqin Wang, Na Cheng, Yan Hu

“…Subsequently, feature vectors obtained from monitoring images and text are fused using a rudimentary concatenation method to generate a joint embedding representation. Principal Component Analysis (PCA) is then applied to diminish the dimensionality of the amalgamated features derived from environmental monitoring images, descriptive texts, and sensor data collected by industrial and mining enterprises. …”
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Multi-modal feature fusion with multi-head self-attention for epileptic EEG signals by Ning Huang, Zhengtao Xi, Yingying Jiao, Yudong Zhang, Zhuqing Jiao, Xiaona Li

“…First, the time domain features were extracted by kernel principal component analysis, the frequency domain features were extracted by short-time Fourier extracted transform, and the nonlinear dynamic features were extracted by calculating sample entropy. …”
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Age group classification based on optical measurement of brain pulsation using machine learning by Martti Ilvesmäki, Hany Ferdinando, Kai Noponen, Tapio Seppänen, Vesa Korhonen, Vesa Kiviniemi, Teemu Myllylä

“…ML experiments utilized support vector machines and random forest learners, along with maximum relevance minimum redundancy and principal component analysis for feature selection. Performance with increasing sample size was estimated using learning curve method. …”
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UPLC-Q-TOF/MS-based metabolomics reveals modulatory effects of Mesona chinensis Benth polysaccharide in liver injury mice induced by cyclophosphamide by Yuzhen Hong, Mingyue Shen, Qiang Yu, Yi Chen, Jianhua Xie

“…The results showed that MP could alleviate liver injury and promote the production of short chain fatty acids (SCFAs), with the best dose of 200 mg/kg·body weight (bw). The principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) scores plots of the liver and feces samples showed a clear separation among normal, model and high-dose of MP (MPH). …”
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Variation of the seed and foliar phenolic contents of five wild forms of common bean (Phaseolus vulgaris L.) by Shaila Nayeli Pérez-Salinas, Rene Torres Ricario, Nancy Nohemí Rodarte Rodríguez, Heberto Iván Salas Ayala, Liliana Wallander Compeán

“…Analysis of variance were used to determine the capacity of the phenolic contents to discriminate between samples, the data were submitted to principal component analysis (PCA) and cluster analysis. The population with the highest content of phenolic compounds in both seed and leaves was the wild population of Nuevo Ideal and those that accumulated the lowest content of these compounds were Nombre de Dios and Canatlán. …”
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Study on Effect of Producing Region on the Metabolome Composition of Rice by LIU Fu-ying, CHEN Xue-feng, WANG Xin, CHEN Guo-yan, GUO Ying, SUN Jing-han, YANG Shui-yan, NIE Xu-heng

“…In this study, the Yunhui 290 rice metabolome from 3 different producing areas was andyzed using a widely targeted metabolomics approach, and 1003 metabolites were identified. By principal component analysis (PCA) and partial least square discriminant analysis (OPLS-DA), the results showed that the numbers of differential metabolites between the comparison groups (GJYH290 vs MLYH290, MZYH290 vs GJYH290, MZYH290 vs MLYH290) were 130, 180, and 192, respectively, only 6 different metabolites were common to all three comparison groups, with the main metabolic pathways involving amino acid metabolism and flavonoid metabolism. …”
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Forward-backward translation, content validity, face validity, construct validity, criterion validity, test-retest reliability, and internal consistency of a questionnaire on patie... by Zhi Kuan Saw, Jonathan Jun Xian Yuen, Asma Ashari, Fatima Ibrahim Bahemia, Yun Xuan Low, Nik Mukhriz Nik Mustapha, May Nak Lau

“…Six revised items passed the threshold value of 0.78 for Item-Content Validity Index and Content Validity Ratio and were revised based on findings from the face validity test. Principal Component Analysis of EFA extracted information on only one component, and all items were positively correlated with the component matrix. …”
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Phthalates in the environment of China: A scoping review of distribution, anthropogenic impact, and degradation based on meta-analysis by Zhigang Cui, Ce Shi, Lanting Zha, Jiaman Liu, Yinchu Guo, Xiaohan Li, Enjiao Zhang, Zhihua Yin

“…We outline the global distribution of PAEs in different media and conducted a comparative analysis of their composition. Principal component analysis (PCA) revealed PAEs differences in environmental mediums and geographic locations. …”
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Phenomic characterization of Crotalaria germplasm for crop improvement by Joshua Kiilu Muli, Johnstone O. Neondo, Peter K. Kamau, Eddy Odari, Nancy L. M. Budambula

“…The Pearson’s correlation coefficients were used to determine the relationships between qualitative and quantitative traits while the principal component analysis was used to discriminate the accessions. …”
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An Improved Deep Learning-Based Technique for Driver Detection and Driver Assistance in Electric Vehicles with Better Performance by Gunapriya Balan, Singaravelan Arumugam, Suresh Muthusamy, Hitesh Panchal, Hossam Kotb, Mohit Bajaj, Sherif S. M. Ghoneim, null Kitmo

“…As a part of this research, a driver identification system based on a deep driver classification model (deep neural network as DNN) with feature reduction techniques (random forest as RF and principal component analysis as PCA) is implemented to help automate and aid in crucial jobs such as the brake system in an efficient manner. …”
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Use of ATR-FTIR Spectroscopy and Chemometrics for the Variation of Active Components in Different Harvesting Periods of Lonicera japonica by Yun-Chu Zhang, Jing Deng, Xiu-Lian Lin, Ya-Mei Li, Han-Xuan Sheng, Bo-Hou Xia, Li-Mei Lin

“…Additionally, principal component analysis (PCA) scatter plots showed that there was a clear clustering trend in the samples of the same harvesting period, and the samples of the different harvesting periods could be well distinguished. …”
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Analysis of the Metals in Soil-Water Interface in a Manganese Mine by Bozhi Ren, Qian Wang, Yangbo Chen, Wenjie Ding, Xie Zheng

“…In order to reveal the influence of the metals of soil-water interface in a manganese mine (Xiangtan, China), on local water environment, there are six kinds of metals (Mn, Ni, Cu, Zn, Cd, and Pb) characterized by measuring their concentration, correlation, source, and special distribution using principal component analysis, single factor, and Nemero comprehensive pollution index. …”
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Determination of Biochemical Contents of Fresh, Oven-Dried, and Sun-Dried Peels and Pulps of Five Apple Cultivars (Amasya, Braeburn, Golden Delicious, Granny Smith, and Starking) by Zeynep Ergün

“…For data interpretation, t-test, ANOVA, Duncan’s test, Kruskal–Wallis H test, and principal component analysis were performed. The peel contained significantly higher total flavonoid, total phenol, and antioxidant activity than pulp. …”
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Contamination Features and Source Apportionment of Heavy Metals in the River Sediments around a Lead-Zinc Mine: A Case Study in Danzhai, Guizhou, China by Rongguo Sun, Yue Gao, Jing Xu, Yang Yang, Yutao Zhang

“…It was found that lead-zinc mining and smelting activities, coal mining activities, and agricultural activities (livestock and poultry breeding) are the primary sources of selected HMs, based on the results of correlation analysis together with principal component analysis (PCA) and positive matrix factorization (PMF) model. …”
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Comprehensive analysis of ionomic profiling in Chlorella exposed to chlorpyrifos by Qing-Qing Yu, Yulong Zhang, Shiyuan Zhao, Min Pang, Pei Jiang, Pei Qu

“…However, little is known about the toxicological mechanism of CPF on marine microalgae, which is the main primary producer in the marine ecosystem.MethodsThis study explored the ion changes of microalgae Chlorella vulgaris under the stress of CPF through Inductively Coupled Plasma Mass Spectrometry (ICP-MS).ResultsSignificant disparities in ionomics among control and treatment group were observed through pattern recognition analysis (principal component analysis, PCA; orthogonal partial least squares discriminant analysis, OPLS-DA), indicating that CPF may impede their growth by disrupting the homeostasis of crucial elements within algal cells.DiscussionThis study elucidated the inhibitory impact of CPF on green algae growth and its potential mechanism of toxicity through ICP-MS, providing crucial insights for a comprehensive understanding of the influence of organophosphorus pesticides on aquatic ecosystems.…”
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Snowfall in the Northwest Iberian Peninsula: Synoptic Circulation Patterns and Their Influence on Snow Day Trends by Andrés Merino, Sergio Fernández, Lucía Hermida, Laura López, José Luis Sánchez, Eduardo García-Ortega, Estíbaliz Gascón

“…In this work, we develop a classification of synoptic situations that produced important snowfalls at observation stations in the major cities of Castilla y León from 1960 to 2011. We used principal component analysis (PCA) and cluster techniques to define four synoptic patterns conducive to snowfall in the region. …”
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