Multiscale, agent-based mathematical models of biological systems are often associated
with model uncertainty and sensitivity to parameter perturbations. Here, three uncertainty …

Despite a conceptually simple mechanism of signaling, the JAK-STAT pathway exhibits
considerable behavioral complexity. Computational pathway models are tools to investigate …

The robustness of a design has a major influence on how much the product's performance
will vary and is of great concern to design, quality, and production engineers. While …

Flood resilience is a desirable state of natural and built environments in dealing with
hazards such as extreme rainfalls, storm surges, and hurricanes. Here, resilience means the …

Multimodal oncological strategies which combine chemotherapy or radiotherapy with
hyperthermia, have a potential of improving the efficacy of the non-surgical methods of …

Abstract Model-assisted probability of detection (MAPOD) and sensitivity analysis (SA) are
important for quantifying the inspection capability of nondestructive testing (NDT) systems …

Background Extensive experimentation has been conducted to increment 1, 3-propanediol
(PDO) production using Clostridium butyricum cultures in glycerol, but computational …

Many complex kinetic models in the field of biochemical reactions contain a large number of
species and reactions. These models often require a huge array of computational tools to …

Calculating analytical approximate solutions for non-linear infectious disease models is a
difficult task. Such models often require computational tools to analyse analytical …

Mathematical modeling for epidemic models are important tools in systems biology.
Studying the behavior of diseases models frequently needs some methods of model …