the continuum based approaches don’t provide the correct physics in atomic scales. on the other hand, the molecular based approaches are limited by the length and simulated process time. as an attractive alternative, this paper proposes the fixed interfacial multiscale method (fimm) for computationally and mathematically efficient modeling of solid structures. the approach is applicable to mult...

drought is random and nonlinear phenomenon and using linear stochastic models, nonlinear artificial neural network and hybrid models is advantaged for drought forecasting. this paper presents the performances of autoregressive integrated moving average (arima), direct multi-step neural network (dmsnn), recursive multi-step neural network (rmsnn), hybrid stochastic neural network of directive ap...

Cholera, caused by the pathogenic Vibrio cholerae bacteria, remains a severe public health threat. Although lot of emphasis has been placed on population-level spread disease, infection itself starts within body. As such, we formulated multi-scale model that explicitly connects within-host and between-host dynamics disease. To dynamics, assigned each susceptible individual with pathogen load in...