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Ecological risk assessment and source identification of heavy metals in the sediments of the Danjiang River Basin: A quantitative method combining multivariate analysis and the APC...
Published 2025-06-01“…The results of the multivariate statistical analysis indicate that Cu, Zn, Pb, and As mainly originated from natural sources, Cd and Ni primarily came from mixed sources such as agriculture and mining, while Cr was mainly associated with industrial activities. …”
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Multivariate analysis of some circular economy indicators
Published 2025-12-01Get full text
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The Sakhalin Ainu: origin and population contacts according to cranial-metric data
Published 2025-03-01Get full text
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1-Hexadecyl-3-methylimidazolium tetrachloroindate ionic liquid as corrosion inhibitor for mild steel: Insight from experimental, computational, multivariate statistics and multi-qu...
Published 2024-12-01“…Various advanced methods were employed in this research, such as potentiodynamic polarization (PDP), quantum chemical computations, molecular dynamics simulations, weight loss assessments, electrochemical impedance spectroscopy (EIS) and multivariate statistics via machine learning models. …”
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Plasma Multiplatform Metabolomics Towards Evaluation of Gender Differences in Pulmonary Arterial Hypertension—A Pilot Study
Published 2025-07-01“…The metabolic differences between male and female PAH patients and controls were identified using multivariate statistical analyses. <b>Results:</b> Our results show changes in the lipid, fatty acid, and amino acid metabolism in both sexes. …”
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Urinary Metabolomics of Plastic Manufacturing Workers: A Pilot Study
Published 2025-03-01“…The dataset so obtained was then subjected to multivariate statistical analysis to characterize each profile and highlight any differences. …”
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Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach
Published 2025-01-01“…To improve the explainability of the AI models, Shapley Additive Explanations methods were also conducted.Conclusion: Exploring HF mortality and its patterns related to clinical risk factors by machine learning models can help physicians make appropriate decisions when monitoring HF patients’ health quality in the hospital.Keywords: mortality, risk factor, cardiovascular disease, multivariate statistical analysis, machine learning, artificial intelligence…”
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Multivariate Modified Dugum Distribution and Its Applications
Published 2025-05-01“…In addition, we explore and discuss some statistical properties, including the multivariate dependence. …”
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Geostatistical analysis and multivariate assessment of groundwater quality
Published 2025-03-01“…This study examines 76 water samples collected from Tehsil Jaranwala, analyzing 12 water quality parameters (WQPs) through multivariate statistical techniques and a non-parametric geostatistical kriging approach. …”
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Multivariate quantile inactivity time with medical applications
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Unveiling the chemical composition of unique flavor profiles in raw Pu-erh tea from different Tea-Producing Mountains
Published 2024-12-01“…Furthermore, twenty-one common key odor-active compounds, potentially influencing the regional flavor, were identified by gas chromatography-olfactometry and odor activity value. Multivariate statistical analysis showed that geographical factors—longitudes, latitudes, counties, and elevations—account for 37.02 % of the aroma profile variance, implying the possible influence of other potential factors. …”
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Multivariate Asymmetric GARCH Model with Dynamic Correlation Matrix
Published 2022-04-01“…Further, we applied the proposed method to analyze the joint volatility of Rosneft stock returns and Brent oil prices. …”
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Multivariate classification of cotton cultivars tolerant to salt stress
Published 2022-01-01“…Plants were evaluated for growth, gas exchange, and photosynthesis. The data were statistically analyzed using univariate and multivariate methods. …”
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Testing for Change in Mean of Independent Multivariate Observations with Time Varying Covariance
Published 2012-01-01“…We consider a nonparametric CUSUM test for change in the mean of multivariate time series with time varying covariance. …”
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BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series
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Harbor water pollution by heavy metal concentrations in sediments
Published 2023-10-01“…Heavy metal pollution in sediments was assessed by analyzing sediment pollution index. The multivariate statistical analysis on the relationship among factors was conducted using Pearson correlation matrix method, principal component analysis, and cluster analysis.FINDINGS: The environmental quality standards used indicate average concentration of heavy metals; lead (28,869 milligram per kilogram) and copper (8,003 milligram per kilogram) are below the quality standard. …”
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Assessment of groundwater quality for drinking purposes using water quality index in volcanic rock areas of Axum, Northern Ethiopia
Published 2025-08-01“…Hydrogeochemical evolution was assessed using molar ratios, multivariate statistical analysis, and inverse modeling, while the Water Quality Index (WQI) was used to determine drinking water suitability. …”
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