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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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122
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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123
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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124
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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125
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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126
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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127
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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128
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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129
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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132
Modelling Sustainable Port Operations: Balancing Inputs and Outputs with the Cobb–Douglas Function
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133
Hydrophobic nanostructured bioaerogel filters for efficient particulate matter removal
Published 2025-05-01Get full text
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134
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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Machine Learning and Statistical Analyses of Sensor Data Reveal Variability Between Repeated Trials in Parkinson’s Disease Mobility Assessments
Published 2024-12-01“…Although the total duration remains relatively consistent between trials (intraclass correlation coefficient (ICC) = 0.62 to 0.95), greater variability is seen in subtask duration and sensor-derived measures, reflected in machine learning performance and statistical differences. …”
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138
On an Optimal Quadrature Formula for Classes of Functions Given by Modulus of Continuity
Published 2014-06-01Get full text
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139
Evaluation of the polymorphism of the GDF9 and BMP15 genes and their relationship with the reproductive functions of sheep of different breeds
Published 2023-11-01“…Polymorphism is the result of evolutionary processes and is inherited, associated with biodiversity and modified by natural selection and functions to preserve various forms of population. …”
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