Sensitivity analysis is crucial both in the modeling phase and in the interpretation of model predictions. It contributes to model development, model calibration, model validation, reliability and robustness analysis, decision-making under uncertainty, and model reduction. Sensitivity analysis is concerned with the study of the relationship between infinitesimal changes in the model parameters ...

phytoplankton and zooplankton concentrations in pishin reservoir are predicted employing a three-dimensional numerical model in this paper. modeling is performed using a numerical model based on mass transport equation. advection, diffusion and source/sink processes are considered as separate subroutines for predicting the concentrations of phytoplankton and zooplankton in the reservoir. finit...

Background Prediction equations for resting metabolic rate (RMR) are valuable in managing patients’ weight; however, no accurate equation exists Singaporeans. Objective To develop and cross-validate a predictive regression RMR Singaporeans, using indirect calorimetry as the reference method. Methods 104 healthy Singaporeans (34.3 ± 12.2 years) participated, comprising 34 men 70 women. Anthropom...

This paper discusses light propagation in N-layered turbid media. The hybrid diffusion-P3 equation is solved for an N-layered finite or infinite turbid medium in the steady-state domain for one point source using the extrapolated boundary condition. The Fourier transform formalism is applied to derive the analytical solutions of the fluence rate in Fourier space. Two inverse Fourier transform m...