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Evaluation of the Variability of Micro and Macro Spray Parameters as a Function of Sampling Time Using a Laser Doppler Analyzer
Published 2025-06-01“…In the first stage of the research, the variability of the coefficients characterizing the spray spectrum as a function of variable measurement time was analyzed. …”
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A Hierarchical Archimedean Copula (HAC) model for climatic variables: an application to Kenyan data
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Analysis of effects of meteorological variables on dengue incidence in Bangladesh using VAR and Granger causality approach
Published 2024-11-01“…BackgroundDengue fever is a serious public health issue in Bangladesh, where its incidence rises with the monsoon. Meteorological variables are believed to be responsible factors among others. …”
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Reliability Analysis in Presence of Random Variables and Fuzzy Variables
Published 2015-01-01“…Furthermore, a technique based on the probability density function evolution method is employed to improve the computational efficiency of the proposed indices. …”
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Cost Optimisation of Supply Chains in the Food Industry: Cost Function Modelling
Published 2025-05-01“…The proposed cost function allows for assessing the impact of these variables on total costs and identifying critical areas for optimisation. …”
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Heart rate variability in university students engaged in competitive sports at the beginning of a training season
Published 2020-09-01“…Objective: to study heart rate variability in university students engaged in competitive sports at the beginning of a training season. …”
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Improving Scheduling Efficiency: A Mathematical Approach to Multi-Operation Optimization in MSMEs
Published 2025-04-01“…The results show that prioritizing the objective function leads to a balanced optimization of all indicators, improving operational efficiency and reducing flow time. …”
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Optimal root pruning to promote growth and water use efficiency of rice seedlings
Published 2025-07-01“…Key indicators such as seedling vigor index, root-to-shoot ratio, photosynthetic traits, and water use efficiency were measured during the. Using the membership function method, seven variables were used to comprehensively assess the impact of different pruning treatments.…”
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Magnetic Deflection Coefficient Investigation for Low Energy Particles
Published 2011-06-01“…The results showed had been tabulated and graphically represented as functions of their variables. These results a satisfactory agreement between experimental values and theoretical data given in the literature showed.…”
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Objective Functions for the Blade Shape Optimisation of a Cross-Flow Tidal Turbine under Constraints
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Leveraging normal distribution and fuzzy S-function approaches for solar cell electrical characteristic optimization
Published 2025-05-01“…Furthermore, a fuzzy S-function model was applied to account for uncertainty and variability in real-world conditions. …”
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Speckle-Tracking Echocardiography in Dogs: Evaluating Imaging Parameters and Methodological Variability in Global Longitudinal Strain Assessment
Published 2025-05-01“…Two-dimensional speckle-tracking echocardiography (2D-STE) is an advanced imaging technique that offers quantitative insights into myocardial function by analyzing the motion of speckles created during ultrasound–tissue interactions. …”
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Singular anisotropic equations with a sign-changing perturbation
Published 2023-10-01“…We prove a multiplicity result producing two positive smooth solutions when the coefficient function in the singular term is small in the L∞-norm. …”
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Modelling Sustainable Port Operations: Balancing Inputs and Outputs with the Cobb–Douglas Function
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Hydrophobic nanostructured bioaerogel filters for efficient particulate matter removal
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Enhancing water use efficiency: Insights from hydrological variability encounter of multiple water sources and implications for terminal Lake management in arid regions
Published 2025-06-01“…Multivariate empirical mode decomposition (MEMD) was applied to identify periodic characteristics of runoff, while wavelet coherence transform assessed the consistency of runoff patterns. A Copula function was then utilized to construct a joint distribution model, quantifying variability patterns and their cascading effects on ecological water use in Taitema Lake. …”
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