Showing 61 - 80 results of 1,956 for search 'Multivariate statistical analyzed', query time: 0.12s Refine Results
  1. 61

    Analysis and Evaluation of Quality Indicators and Volatile Compounds of Different Rice Cultivars with Geographical Indication by WANG Qin, ZHOU Changyan, ZHAO Xiaoyan, LI Xiaobei, LI Xujiao, JIANG Zhenghui, ZHANG Yanmei

    Published 2025-02-01
    “…A total of 42 differential volatile compounds were detected in GI rice from Northeast China versus other regions in the country using multivariate statistical analysis, including 25 hydrocarbons and 17 volatile aroma compounds such as alcohols, ketones, aldehydes, and esters. …”
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  2. 62

    Analysis of differential components in sauce-flavor Baijiu with different aging years based on non-targeted metabolomics by JIAO Yu, SU Wei, MU Yingchun, ZHAO Chi, WANG Aimin, ZHENG Jie

    Published 2025-05-01
    “…The substance composition of sauce-flavor (Jiangxiangxing) Baijiu samples (numbered as 5y, 10y, 20y, 35y and 60y) with different aging years (5 year, 10 year, 20 year, 35 year and 60 year) were analyzed through non-targeted metabolomics, and the different substances of sauce-flavor Baijiu with different aging years were explored by principal component analysis (PCA) combined with orthogonal partial least squares-discriminant analysis (OPLS-DA) multivariate statistical analysis. …”
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  3. 63

    Assessment of Relationship between Land Use Pattern and Spatial Distribution of Water Quality at the Watershed Scale: A Case Study of Maroon River Sub-basin by Fariba Hedayatzadeh, Alireza Ildoromi, Nasrin Hasanzadeh, Nader Bahramifar, Mahdi Banaee

    Published 2024-06-01
    “…Then, using geographic information system and multivariate statistical techniques, the effects of land use on river water quality in the Maroon sub-basin were estimated. …”
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  4. 64

    Computational Workflow for the Characterization of Size, Shape, and Composition of Particles and Their Separation Behavior During Processing by Sabrina Weber, Orkun Furat, Tom Kirstein, Thomas Leißner, Urs A. Peuker, Volker Schmidt

    Published 2024-12-01
    “…However, since the separation behavior of particles is typically influenced by multiple particle descriptors, multivariate Tromp functions are required. This study focuses on methods that allow for the computation of multivariate parametric Tromp functions by means of statistical image analysis and copula-based modeling. …”
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    Morphoagronomic Characterization of Tomato Plants and Fruit: A Multivariate Approach by Aniela Pilar Campos de Melo, Paulo Marçal Fernandes, Fábio Venturoli, Carlos de Melo Silva-Neto, Aurélio Rubio Neto

    Published 2015-01-01
    “…Given the above, the objective of this study was to morphoagronomically characterize tomato genotypes using multivariate statistics. The genotype seedlings (Ellus, Black Mauri, Green Zebra, Green Tomato, Pomodoro Marmande, Pomodoro Fiorentino, Pitanga, and Black Krim) were transplanted 30 days after sowing. …”
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  13. 73

    Comprehensive Analysis of Soil Physicochemical Properties and Optimization Strategies for “<i>Yantai Fuji 3</i>” Apple Orchards by Zhantian Zhang, Zhihan Zhang, Zhaobo Fan, Weifeng Leng, Tianjing Yang, Jie Yao, Haining Chen, Baoyou Liu

    Published 2025-07-01
    “…The study analyzed the physicochemical properties of the topsoil (0–30 cm) in 19 representative apple orchards across Yantai, including indicators like pH, organic matter (OM), major nutrient ions, and salinity indicators, using standardized measurements and multivariate statistical methods, including descriptive statistics analysis, frequency distribution analysis, canonical correlation analysis, stepwise regression equation analysis, and regression fit model analysis. …”
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    A Multivariate prediction model for amlodipine therapeutic efficacy in pediatric primary hypertension by Yao Lin, Hui Wang, Yaqi Li, Yang Liu, Yanyan Liu, Hongwei Zhang, Yanjun Deng, Lin Shi

    Published 2025-02-01
    “…The baseline data in the two groups were analyzed to identify variables associated with amlodipine treatment responsiveness; furthermore, a nomogram prediction model was established based on those potential predictors derived from multivariate regression analysis. …”
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  18. 78

    Geometric and Statistical Analysis of Emotions and Topics in Corpora by Francesco Tarasconi, Vittorio Di Tomaso

    Published 2015-12-01
    “…The benefits of examining emotions shared in social media using multivariate statistical techniques are highlighted: using additional dimensions, instead of "simple" polarity of documents, allows to detect more subtle differences in the reactions to certain shows.…”
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    Multivariate analysis of the exact effects of scalar position and insertion angle on speech discrimination by Rainer L. Beck, Antje Aschendorff, Susan Arndt, Manuel C. Ketterer

    Published 2025-06-01
    “…The aim of this study is to examine the exact impact of scalar position, dislocation and angular insertion depth on postoperative speech perception.DesignWe identified the patients (n = 531) implanted between 2003 and 2018 with a Contour Advance electrode array (CochlearTM) inserted via cochleostomy by a retrospective review of the Cochlear Implant Database and analyzed the postoperative imaging by cone beam computed tomography and the audiological protocol via a multivariate nonparametric analysis.ResultsThe multivariate nonparametric analysis of this study shows, that the dislocation of the electrode array and the insertion angle leads to no significant different postoperative speech discrimination results. …”
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