VOCAL HANDICAP AND ASSOCIATION WITH PHYSICAL INACTIVITY AND JOB DISSATISFACTION AMONG TEACHERS by Lilian Souza Melo, Josiane Santos Brant Rocha, Viviana Maia Santos, Leonardo Rodrigues de Souza, Rosângela Ramos Veloso Silva, Desirée Sant´Ana Haikal, Adriane Mesquita Medeiros, Luiza Augusta R. Rossi-Barbosa

“…The level of job satisfaction was expressed through the simple validated question: "Are you satisfied with your job?". The multivariate statistical analysis was Poisson regression with robust variance. …”
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Different Metabolites in the Roots, Seeds, and Leaves of Acanthopanax senticosus and Their Role in Alleviating Oxidative Stress by Jie Su, Qi Wang, Zhifeng Li, Yan Feng, Yan Li, Shinlin Yang, Yulin Feng

“…We used UHPLC-QTOF-MS to analyze the chemical components in the root, seed, and leaf extracts of A. senticosus. Two multivariate statistical analysis methods—namely, principal component analysis and partial least square discriminant analysis—were used to distinguish the samples obtained from different parts of the plant. …”
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The impact of human papillomavirus (HPV) status on functional outcomes and quality of life (QOL) after surgical treatment of oropharyngeal carcinoma with free-flap reconstruction by Hani Z. Marzouki, Vincent L. Biron, Peter T. Dziegielewski, Andrew Ma, Jason Vaz, Gabriela Constantinescu, Jeffrey Harris, Daniel O’Connell, Hadi Seikaly

“…Univariate and multivariate statistical analyses were performed to identify whether p16 status is a significant predictor of functional outcome and QOL. …”
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Collagen Induced Arthritis in DBA/1J Mice Associates with Oxylipin Changes in Plasma by Min He, Eduard van Wijk, Ruud Berger, Mei Wang, Katrin Strassburg, Johannes C. Schoeman, Rob J. Vreeken, Herman van Wietmarschen, Amy C. Harms, Masaki Kobayashi, Thomas Hankemeier, Jan van der Greef

“…Both univariate and multivariate statistical analyses were applied. The results in univariate Student’s t-test revealed 10 significantly up- or downregulated oxylipins in CIA mice, which were supplemented by another 6 additional oxylipins, contributing to group clustering upon multivariate analysis. …”
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Liquid Chromatography-Mass Spectrometry-Based Metabolomic Analysis of Metabolites and Metabolic Pathways of Selenium-Enriched Auricularia auricula by YUE Shibo, CUI Hang, SHEN Qin, CAO Dongmei

“…The effect of selenization on the dynamic changes of metabolic pathways and metabolites in A. auricula was investigated using liquid chromatography-mass spectrometry (LC-MS)-based metabolomics combined with different multivariate statistical analyses such as principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and hierarchical cluster analysis. …”
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Prevalence and investigation of Cytomegalovirus (HCMV) in blood donors from the main blood establishment in Rio de Janeiro/Brazil by Agildo da Silva Oliveira, Jéssica Gonçalves Pereira, Gabrielle Tantos Nunes, Ivanildo Pedro de Sousa Junior, Dmitry José de Santana Sarmento, Josiane Iole França Lopes, Luiz Amorim Filho, Vanessa Salete de Paula

“…The data underwent univariate, bivariate, and multivariate statistical analyses using the SPSS program, version 20.0. …”
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Quantitative descriptive analysis, non-targeted metabolomics and molecular docking reveal the dynamic aging and taste formation mechanism in raw Pu-erh tea during the storage by Bingsong Ma, Cunqiang Ma, Binxing Zhou, Xuan Chen, Yuhua Wang, Yifan Li, Junfeng Yin, Xinghui Li

“…In this study, quantitative descriptive analysis (QDA) and UHPLC-Orbitrap-MS/MS-based non-targeted metabolomics were performed to illustrate dynamic changes of taste compounds across 18 RaPT samples during the storage. Multivariate statistical analyses effectively classified stored RaPT into three groups based on storage stages, confirming that storage duration, rather than environmental conditions, primarily influences the taste profile and the changes in non-volatile compounds. …”
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Land use impacts on surface water quality by statistical approaches by K. Afed Ullah, J. Jiang, P. Wang

“…Traditional multivariate statistical approaches uncover hidden information in water quality data but they are unable to expose spatial relationship. …”
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Lipid Biomarkers in Urban Soils of the Alluvial Area near Sava River, Belgrade, Serbia by Gordana Dević, Sandra Bulatović, Jelena Avdalović, Nenad Marić, Jelena Milić, Mila Ilić, Tatjana Šolević Knudsen

“…The obtained datasets were effectively made simpler by applying multivariate statistical analysis. Various geochemical indices (CPI, ACL, AI, TAR, etc.) and ratios (S/L, Paq, Pwax, etc.) were calculated and used to distinguish between biogenic and anthropogenic contributions. …”
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Radioactivity concentration of natural and anthropogenic radionuclides in the soil of Banswara region, Rajasthan and associated radiation index parameters by Rajpal Gill, Balram Meena, Shailesh Nath Tiwari, I. V. Saradhi, A. Vinod Kumar

“…The study and analysis of collected soil samples from the Banswara region of Rajasthan indicate that the soil of this area does not pose any significant radiological health hazard to the people residing in adjacent areas. Multivariate Statistical analysis of Pearson correlation and analysis of variance (ANOVA) has been carried out. …”
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Sinking Velocity Impact-Analysis for the Carrier-Based Aircraft Using the Response Surface Method-Based Improved Kriging Algorithm by Xiao-Feng Xue, Yuan-Zhuo Wang, Cheng Lu, Zhang Yun-Peng

“…Based on the deck landing measured data of the F/A-18A aircraft in the actual operating environment, the impact degree of the 15 deck landing parameters on the sinking velocity is explored, respectively, by using the partial correlation analysis of multivariate statistical theory and the IK-RSM. It can be found that the 4 parameters are strongly correlated with the sinking velocity; that is, the aircraft glide angle and deck pitch angle are highly correlated with the sinking velocity; next, the approach velocity and the engaging velocity are moderately correlated with the sinking velocity. …”
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Prognostic Significance of DNA Cytometry in Carcinoma of the Uterine Cervix FIGO Stage IB and II by Hans Jürgen Grote, Nicolaus Friedrichs, Natalia Pomjanski, Helen Friderike Guhde, Olaf Reich, Alfred Böcking

“…Results: In multivariate statistical analysis DNA stemline ploidy using 2.2c as a cut‐off value and FIGO stage showed to be statistically significant available presurgery predictors of survival, whereas the postsurgical parameters lymphonodal status, tumor size and parametrial involvement were significantly correlated with survival. …”
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An unbiased cell morphology-based screen for new, biologically active small molecules. by Masahiro Tanaka, Raynard Bateman, Daniel Rauh, Eugeni Vaisberg, Shyam Ramachandani, Chao Zhang, Kirk C Hansen, Alma L Burlingame, Jay K Trautman, Kevan M Shokat, Cynthia L Adams

“…Cellular phenotypes induced by each compound were quantified by multivariate statistical analysis of the morphology, staining intensity, and spatial attributes of the cellular nuclei, microtubules, and Golgi compartments. …”
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METHOD AND ALGORITHMS OF CALCULATION OF PARAMETERS OF RELIABILITY IN ACCORDANCE WITH MULTIVARIATE DATA by E. M. Farhadzadeh, A. Z. Muradaliyev, T. K. Rafiyeva, S. A. Abdullayeva

“…The article presents analytical methods that make it possible to consider the expediency of classification of multivariate statistical data, to identify the relevant types of signs, to rank the objects in power systems and to form clusters of homogeneous data. …”
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Identity and Distribution of <i>Triglops metopias</i> (Teleostei, Cottidae) in the Northwestern Pacific by Artem M. Prokofiev, Ilyas N. Mukhametov, Olga R. Emelianova, Svetlana Yu. Orlova, Alexei M. Orlov

“…Molecular analysis inferred from the mitochondrial cytochrome <i>b</i> sequences showed no separation of this species from <i>T. pingelii</i>, although they can be distinguished by external morphology, including the use of the multivariate statistical approach. The geographical distribution of <i>T. metopias</i> in the North Pacific is discussed. …”
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Application of multivariate analysis to identify relationships among useful agronomic characters of cowpea and differentiation of cultivars for vegetable and grain uses by M. O. Burlyaeva, M. V. Gurkina, E. V. Miroshnichenko

“…The variability and relationships of these characters were assessed in cultivars grown for grain and vegetable purposes using multivariate statistical analyses.Results and discussion. The characters that differentiate grain and vegetable cowpea accessions were identified: the type of seed coat surface, the presence of fiber in ventral and dorsal pod sutures and a sclerenchyma layer in pods valves, and pod length. …”
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Skin Metabolic Signatures of Psoriasis and Psoriasis Concurrent with Metabolic Syndrome by Yan L, Wang W, Dong M, Wang R, Li C

“…Data analyses, including multivariate statistical analysis, KEGG pathway enrichment analysis, correlation analysis, and receiver operating characteristic curve analysis, were performed.Results: Significant discrepancies were found between skin metabolites in the HC and PVNMS groups, particularly those involved in nucleotide and glycerophospholipid metabolism. …”
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Elevated Lipid Concentrations in Seminal Plasma Can Reduce Sperm Motility in Simmental Bulls by Zhuo Yang, Fang Luo, Chenglei Song, Zhiyuan Ma, Yucheng Tian, Yu Fu, Hao Zheng, Jinzhong Tao

“…Lipid profiles were determined using LC-MS/MS, and 40 differential lipids were identified by multivariate statistical analysis. Among them, 39 lipids were upregulated in the LSM group compared to the HSM group. …”
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Enrichment features, ecological risks assessment and quantitative sources appointment of sediment heavy metals: An example of the urbanized Xizhi River catchment, South China by Chao Yan, Qirui Wu, Rui Li, Zuobing Liang, Zaizhi Yang, Aiping Zhu, Lei Gao

“…By integrating a traditional geochemical model and multivariate statistical analysis into a positive matrix factorization (PMF) method, we quantitatively identified the possible sources of HM contamination in the sediments. …”
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The clinical value and most informative threshold of polygenic risk score in the Quebec City Case-Control Asthma Cohort by Martin Pariès, Stéphanie Bougeard, Aida Eslami, Zhonglin Li, Michel Laviolette, Louis-Philippe Boulet, Evelyne Vigneau, Yohan Bossé

“…This study aims to evaluate PRS and define most informative thresholds in relation to conventional clinical and physiological criteria of asthma using a multivariate statistical method. Clinical and genome-wide genotyping data were obtained from the Quebec City Case-Control Asthma Cohort (QCCCAC), which is an independent cohort from previous GWAS. …”
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