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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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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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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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127
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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DBEM solutions to modified Helmholtz problems for FGMs of space–time-dependent properties
Published 2025-01-01Subjects: Get full text
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On an Optimal Quadrature Formula for Classes of Functions Given by Modulus of Continuity
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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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Reservoir water level prediction using combined CEEMDAN-FE and RUN-SVM-RBFNN machine learning algorithms
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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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Influence of preoperative variables on the 3-month functional outcomes of the Vivity extended depth-of-focus intraocular lens: a prospective case series
Published 2025-02-01“…Assuming a minimum Pearson r correlation coefficient between variables of 0.5 with a power of 80% and a P value less than 0.05, a minimum sample size of 29 (58 eyes) cases was required. …”
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A Numerical Scheme Based on the Chebyshev Functions to Find Approximate Solutions of the Coupled Nonlinear Sine-Gordon Equations with Fractional Variable Orders
Published 2021-01-01“…In this article, a numerical method based on the shifted Chebyshev functions for the numerical approximation of the coupled nonlinear variable-order fractional sine-Gordon equations is shown. …”
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