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A novel analytical treatment for the Ambartsumian delay differential equation with a variable coefficient
Published 2024-12-01“…The Ambartsumian delay differential equation with a variable coefficient is considered in this paper. An effective transformation is produced to convert the extended Ambartsumian equation to the pantograph model. …”
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Variable power functional dilution adjustment of spot urine
Published 2025-01-01“…This study introduces a novel variable power functional creatinine correction method (V-PFCRC) to normalize analytes to 1 g/L CRN by utilizing uncorrected analyte levels and two analyte-specific coefficients, c and d. …”
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Local RBF-FD-Based Mesh-free Scheme for Singularly Perturbed Convection-Diffusion-Reaction Models with Variable Coefficients
Published 2022-01-01“…This work analyze singularly perturbed convection-diffusion-reaction (CDR) models with two parameters and variable coefficients by developing a mesh-free scheme based on local radial basis function-finite difference (LRBF-FD) approximation. …”
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Variáveis climáticas e o desempenho de um pivô central, em Cristalina Goiás Climatic variables and performance of center pivot at Cristalina, Goiás, Brazil
Published 2010-03-01“…<br>This research aimed to evaluate center pivot performance as a function of wind speed (VV), relative humidity of air (UR) and mean air temperature (T) and establish a stochastic model to estimate application efficiency as a function of these independent variables. …”
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A Convergent Legendre Spectral Collocation Method for the Variable-Order Fractional-Functional Optimal Control Problems
Published 2024-01-01“…In this paper, a numerical method is applied to approximate the solution of variable-order fractional-functional optimal control problems. …”
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An Analytical Approximation of the Stress Function for Conical Flywheels
Published 2025-04-01“…Starting from a stress function, the model was simplified under the assumption of a small-thickness gradient, allowing the derivation of a closed-form solution. …”
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Genetics of Physiological Variation Within and Between Larval Wild-Type AB and Backcrossed NHGRI-1 Zebrafish (<i>Danio rerio</i>)
Published 2025-01-01“…To explore the role of genetics in physiological variation, we assessed variation of cardiac function (heart rate, stroke volume, and cardiac output), oxygen consumption, yolk conversion efficiency, and cost of development in embryonic and larval AB wild-type and NHGRI-1 zebrafish (low heterozygosity line backcrossed from AB wild-type) exposed to different temperature and oxygen regimes. …”
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Thrust-efficiency limits of a swimming tail with variable chordwise flexural rigidity
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Objective Functions for the Blade Shape Optimisation of a Cross-Flow Tidal Turbine under Constraints
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Monitoring of Energy Efficiency of District Heating System Facilities: Methodology for Determining the Energy Baseline
Published 2022-03-01“…This methodology was applied to a boiler house of a district heating system. Relevant variables were formed using a three-stage selection of fac-tors that influence the gas consumption efficiency of the boiler house. …”
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Functional Analysis of Thyme Production in Denizli Province
Published 2024-01-01“…Among the variables in the production function, the variables with marginal efficiency coefficient above 1 were determined as the production area (3.20) and the fertilizer factor (1.33). …”
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Significance of dissipative flow on a second-grade nanofluid with variable thermal properties on the stretching surface
Published 2025-05-01“…Boundary conditions are used for the analysis of heat and mass transmission. Stream functions and similarity variables are utilized to reduce the complexity of the governed PDEs (partial differential equations) and altered into ODEs (ordinary differential equations). …”
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Enhanced thermal performance of variable cross-section solar collectors: a case study in Santiniketan, India
Published 2025-06-01“…Abstract We present analytical models for variable cross-section absorber plate solar collectors, where the thermal conductivity, overall heat loss coefficient, and incident solar heat flux are power-law functions of temperature. …”
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High-Order Spectral Method of Density Estimation for Stochastic Differential Equation Driven by Multivariate Gaussian Random Variables
Published 2023-01-01“…All the presented stochastic equations are driven by bivariate Gaussian random variables. The efficiency is compared with the Monte-Carlo method based on the known random function.…”
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Orchard variable-rate spraying method integrating GNSS and wind-excited audio-conducted leaf area density
Published 2025-07-01“…As a result, few fully functional variable-rate spraying systems have been developed based on this parameter.MethodsThis study presents a variable-rate spraying method that integrates global navigation satellite system (GNSS) positioning with wind-excited audio-conducted estimation of canopy leaf area density. …”
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A Sparse Variable Step-Size Least-Mean-Square Algorithm for Impulsive Noise in a Code-Division Multiple Access System
Published 2025-01-01“…The proposed algorithm makes use of an arctan constraint in the cost function of the algorithm. This constraint enforces a zero attraction of the filter coefficients based on the relative value of each filter coefficient among all entries. …”
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Cross-subject affective analysis based on dynamic brain functional networks
Published 2025-04-01“…However, due to inter-subject variability and non-smoothness of EEG signals, the generalization performance of models across subjects remains a challenge.MethodsIn this study, we proposed a novel approach that combines time-frequency analysis and brain functional networks to construct dynamic brain functional networks using sliding time windows. …”
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Non-parametric calibration estimation of distribution function under stratified random sampling
Published 2025-02-01“…By leveraging auxiliary information under a stratified random sampling (StRS) framework, the proposed methodology employs multiple calibration constraints with a chi-square distance measure to derive calibrated weights, enhancing estimation efficiency. The estimators incorporate key descriptive measures of auxiliary variable, including the CDF and coefficient of variation, and tackle the challenge of bandwidth selection using advanced techniques such as plug-in selectors and cross-validation approaches. …”
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