Effects of Microbial Fertilizer Application on Soil Ecology in Saline–Alkali Fields by Xingguo Tian, Xiu Zhang, Guoping Yang, Yu Wang, Qianru Liu, Jingjing Song

“…Among fungi, the proportion of <i>Ascomycota</i> decreased and <i>Basidiomycota</i> increased. Principal component analysis (PCA) revealed distinct separation among treatments, indicating significant differences in microbial communities. …”
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Effects of Different Cooking Methods on Nutritional Properties and Non-volatile Flavor Substances of Lyophyllum decastes by Xiaolong LI, Yan YANG, Wen LI, Yanfang LIU, Di WU, Huanling YANG, Wanchao CHEN, Jingjun LI

“…The processing effects of steaming and air frying without oil fall between boiling and oven baking, with steaming retained more nutrients in L. decastes and produced a flavor profile similar to that of oven-baked samples. Principal component analysis (PCA) of electronic tongue data revealed significant variations in the flavor profiles of L. decastes across different cooking methods. …”
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Entomological Investigations, Seasonal Fluctuations and Impact of Bioclimate Factors of Phlebotomines Sand Flies (Diptera: Psychodidae) of an Emerging Focus of Cutaneous Leishmania... by Fatima Zahra Talbi, Abdelhakim El Ouali Lalami, Mouhcine Fadil, Mohamed Najy, Hassan Ech-Chafay, Mohamed Lachhab, Said Lotfi, Nordine Nouayti, Khadija Lahouiti, Chafika Faraj, Abdellatif Janati Idrissi

“…Statistical analysis with principal component analysis has shown a strong positive correlation between temperature parameters and the seasonal distribution of sand flies. …”
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Spatial characteristics and health risks assessments of trace metal pollution from road dusts in the industrialized city of Bangladesh by Masum Howlader, Ashik Md Mamun, Mohammad Mahfuzur Rahman, Md Hasibur Rahman, Sadhon Chandra Swarnokar, Mahfuza Sultana, Md Tanvir Rahman, Tusar Kumar Das

“…The results of PCA (principal component analysis) also support the results of the dendrogram, which illustrate that the corrosion and weathering of automobile parts and other metal materials are the main contributors of Cd, Co, Cr, and Pb. …”
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Multi-omic biomarker panel in pancreatic cyst fluid and serum predicts patients at a high risk of pancreatic cancer development by Laura E. Kane, Gregory S. Mellotte, Eimear Mylod, Paul Dowling, Simone Marcone, Caitriona Scaife, Elaine M. Kenny, Michael Henry, Paula Meleady, Paul F. Ridgway, Finbar MacCarthy, Kevin C. Conlon, Barbara M. Ryan, Stephen G. Maher

“…Differential expression analysis, feature reduction, multi-omic data integration, unsupervised hierarchical clustering, principal component analysis, spearman correlations and leave-one-out cross-validation were performed using RStudio and CombiROC software. …”
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Effects of Different Vegetation Restoration Measures on the Disintegration Characteristics of Eroded Degraded Land of Pinus massoniana in Red Soil Region by XI Jie, WU Zehua, LIN Qiang, WU Jieling, ZHANG Liu, ZHOU Shiqi, ZHOU Qin, SUN Lili, ZHA Xuan

“…Correlation analysis, principal component analysis and path analysis were used to study the disintegration of surface soil in four plots. …”
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Hyperspectral imaging for precision nitrogen management: A comparative exploration of two methodological approaches to estimate optimal nitrogen rate in processing tomato by Vito Aurelio Cerasola, Francesco Orsini, Giuseppina Pennisi, Gaia Moretti, Stefano Bona, Francesco Mirone, Jochem Verrelst, Katja Berger, Giorgio Gianquinto

“…Multicollinearity of spectral bands was prevented with a principal component analysis, and models were 5-fold cross-validated. …”
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Prokaryotic diversity of the rhizosphere from Argentinean wine-producing regions by Andres Martin Toscani, Monica Oyuela Aguilar, Constanza Rey, Ramiro Eugenio Rocco Welsh, Alex Gobbi, Maria Florencia del Papa, Liliana Carmen Semorile, Lars Hestbjerg Hansen, Mariano Pistorio

“…The soil physicochemical properties of the vineyards analysed, were evaluated by principal component analysis, and clustering analysis, allowing us to identify differences among them. …”
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Genetic diversity of Plasmodium falciparum reticulocyte binding protein homologue-5, which is a potential malaria vaccine candidate: baseline data from areas of varying malaria end... by Angelina J. Kisambale, Dativa Pereus, Salehe S. Mandai, Beatus M. Lyimo, Catherine Bakari, Gervas A. Chacha, Ruth B. Mbwambo, Ramadhan Moshi, Daniel A. Petro, Daniel P. Challe, Misago D. Seth, Rashid A. Madebe, Rule Budodo, Sijenunu Aaron, Daniel Mbwambo, Abdallah Lusasi, Stella Kajange, Samwel Lazaro, Ntuli Kapologwe, Celine I. Mandara, Deus S. Ishengoma

“…Wright's fixation index (FST), Wright’s inbreeding coefficient (Fws), Principal component analysis (PCA), nucleotide diversity (π), haplotype network, haplotype diversity (Hd), Tajima's D, and Linkage disequilibrium (LD) were used to assess the diversity of the gene. …”
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Whole-genome sequencing identifies novel loci for keratoconus and facilitates risk stratification in a Han Chinese population by Yinghao Yao, Xingyong Li, Lan Wu, Jia Zhang, Yuanyuan Gui, Xiangyi Yu, Yang Zhou, Xuefei Li, Xinyu Liu, Shilai Xing, Gang An, Zhenlin Du, Hui Liu, Shasha Li, Xiaoguang Yu, Myopia Associated Genetics Intervention and Consortiums, Hua Chen, Jianzhong Su, Shihao Chen

“…Results The characterization of germline variants entailed correction for population stratification and validation of the East Asian ancestry of the included samples via principal component analysis. For rare protein-truncating variants (PTVs) with minor allele frequency (MAF) < 5%, ZC3H11B emerged as the top prioritized gene, albeit failing to reach the significance threshold. …”
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Investigating variability of craft microbreweries spent grains for classification and incorporation into precision diet formulation through multivariate analyses by Arturo Macias Franco, Aghata E.M. Silva, Tio Brody, Graham Holton, Macy Rockwell, Nelcino F. De Paula, Leilson R. Bezerra, Mozart A. Fonseca

“…Principal components analysed included crude protein (CP), ash and protein corrected neutral detergent fiber (apNDFom), non-fibrous carbohydrates (NFC), and ether extract (EE). Principal component analysis (PCA) was employed to identify the most significant nutrient variations, and hierarchical clustering of the principal components was used to group the samples into four distinct clusters. …”
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Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality by Fernando García-García, Dae-Jin Lee, Mónica Nieves-Ermecheo, Olaia Bronte, Pedro Pablo España, José María Quintana, Rosario Menéndez, Antoni Torres, Luis Alberto Ruiz Iturriaga, Isabel Urrutia, COVID-19 & Air Pollution Working Group

“…We proposed a sequence of machine learning stages: feature scaling, missing data imputation, reduction of data dimensionality via Kernel Principal Component Analysis (KPCA), and clustering with the k-means algorithm. …”
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Epidemiology of hereditary eye disease in the populations of Russian Federation by V.V. Kadyshev, E.K. Ginter, S.I. Kutsev, Zh.G. Oganezova, R.A. Zinchenko

“…When assessing patterns of nosological spectrum and prevalence of isolated hereditary eye disease in each population/ethnic group using principal component analysis, 2 clusters were isolated. The first cluster includes 6 Russian populations and the second cluster includes 5 ethnic Volga Region groups, which are more similar to Russian populations than the North Caucasus people. …”
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Assessing the role of genotype by environment interaction of winter wheat cultivars using envirotyping techniques in North China by Haiwang Yue, Yanbing Wang, Zhaoyang Chen, Jiashuai Zhu, Partha Pratim Behera, Pengcheng Liu, Haoxiang Yang, Jianwei Wei, Junzhou Bu, Xuwen Jiang, Xuwen Jiang, Wujun Ma

“…The Additive Main Effects and Multiplicative Interaction (AMMI) model indicates that the first three interaction principal component axes (IPCAs) account for over 70% of the GEI variance, thereby demonstrating the relevance of this model to the current study. Principal Component Analysis (PCA) across the five-year study period revealed positive correlations between grain yield and vapor pressure deficit (VPD), evapotranspiration potential (ETP), temperature range (TRANGE), available soil water (ASKSW), and sunshine duration. …”
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Radiomics prediction of MGMT promoter methylation in adult diffuse gliomas: a combination of structural MRI, DCE, and DTI by Yuying Liu, Yuying Liu, Zhengyang Zhu, Jianan Zhou, Han Wang, Huiquan Yang, Jinfeng Yin, Yitong Wang, Xin Li, Futao Chen, Qian Li, Zhuoru Jiang, Xi Wu, Danni Ge, Yi Zhang, Xin Zhang, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang

“…Feature section was conducted using Pearson correlation and least absolute shrinkage and selection operator. Principal component analysis was utilized for dimensionality reduction. …”
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Unravelling population structure and marker trait association using SSR markers among the identified drought tolerant rice landraces (Oryza sativa L.) by Shanmugam Manju Devi, John Amalraj Joel, Muthurajan Raveendran, Ramamoorthy Pushpam, Sengalan Muthuramu, Raman Pushpa, N. Sritharan, Periyasamy Prasanna, Ramalingam Suresh

“…Post hoc analysis confirmed notable variation among treatments. Principal component analysis revealed three components, with the first three accounting for 88.89% of total variability. …”
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Multiomics unravels the complexity of male obesity: a prospective observational study by Georgios E. Papadakis, Lucie Favre, Yassine Zouaghi, Nathalie Vionnet, Nicolas J. Niederländer, Michela Adamo, James S. Acierno, Dassine Berdous, Alexia Boizot, Jenny Meylan, Julijana Ivanisevic, Emmanuelle Paccou, Hector Gallart-Ayala, Tim Reyns, Elise Van Caeneghem, Bruno Lapauw, Jérôme Pasquier, Yasser Aleman, Styliani Mantziari, Olivier Salamin, Raul Nicoli, Tiia Kuuranne, Tom Fiers, Patric Hagmann, Federico Santoni, Andrea Messina, Nelly Pitteloud

“…Results Testosterone emerged as a key contributor to phenotypic variability via principal component analysis and was therefore used to further categorize obese patients as having or not having hypogonadotropic hypogonadism (HH). …”
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Characterization of terpenoids and norisoprenoids from base and retail Qingke Baijiu by GC × GC-TOFMS and multivariate statistical analysis by Xinlei Wang, Lin Zhu, Xuebo Song, Si Jing, Fuping Zheng, Mingquan Huang, Shengbao Feng, Luzhong La

“…According to the principal component analysis (PCA) plot, young, aged, and retail Qingke Baijiu could be differentiated clearly. …”
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Relation among zootechnical performance, biochemical indicators, water quality, and small invertebrates (zooplankton) abundance reared in biofloc-supplemented systems by Ahmed Said Al-Souti, Marwa M. Zaher, Amr M. Helal, Dina T. Meshhal, Mansour D. H., Afify D. G. Al-Afify, Mohamed M. Rafaey, Abeer El-Saharty, Ehab El-Haroun, Marian G. Nassif, Abdallah Tageldein Mansour, Abdallah Tageldein Mansour, Mohamed Ashour

“…Interestingly, compared to all groups, T3 achieved the best feed conversion ratio (FCR) value (1.68). Principal component analysis (PCA) and Pearson’s correlation coefficient confidence (PCCC) clarified a close positive relationship between T0 and T3 with the total individual, Rotifera abundance, and FCR. …”
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Indonesian foodstuffs in facing global food crisis: Economic aspects of soybean farming by Fachrur Rozi, Herman Subagio, Dian Adi Anggraeni Elisabeth, Lyli Mufidah, Moh Saeri, Supriyadi, Rusli Burhansyah, Juliana Carolina Kilmanun, Ruly Krisdiana, Zainuri Hanif, Ernany Dwi Astuty, Rumanintya Lisaria Putri

“…The study of microeconomic aspects of farming includes soybean farmers' behaviour using principal component analysis (PCA) approach. Meanwhile, the macroeconomic aspects are analyzed using structural equation modelling (SEM) with Smart PLS software. …”
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