The model is implemented using novel, stochastic reaction-diffusion software, NeuroRD, developed for efficient stochastic modeling of large biochemical networks in relatively large volumes such as a neuronal dendrite with multiple spines.
The model is implemented in NeuroRD: novel, computationally efficient, stochastic reaction-diffusion software, and is constrained by intracellular cAMP dynamics that were determined experimentally by real-time imaging using an Epac-based FRET sensor (H30).
Diffusion-weighted images were preprocessed using FSL (http://www.fmrib.ox.ac.uk/fsl/), and then DT in every voxel and the DT-derived maps, that is, mean diffusivity (MD) and fractional anisotropy (FA), were estimated using Diffusion Toolkit software version 0.4.2 (http://www.trackvis.org/), following a process described elsewhere [ 16].
Following diffusion, the software executes potential reactions.
URDME shares its utilization of tetrahedral meshes with another reaction-diffusion simulation software, STEPS [ 22], which we will discuss later in the paper.
In order to assist the design of bcc Ti–Ta and Ta W alloys, the atomic mobilities of Ti, Ta and W are studied critically with the DICTRA software (DIffusion Controlled TRAnsformation), based on the published thermodynamic description, self-diffusion coefficients, impurity diffusion coefficients, intrinsic diffusion coefficients and interdiffusion coefficients.
Earlier work has demonstrated evidence of network effect in the diffusion of ERP software in industries.
In reviewing CRM adoption literature there appears to be little attention given to the supply chain perspective regarding the innovation diffusion of CRM software selection in ERP systems.
Computational thermodynamic and kinetic tools, Thermo-Calc and dictra (diffusion controlled transformation) software, respectively, are used to model the precipitaton of paraequilibrium cementite in several multicomponent alloys.
CT perfusion (CTp) is a form of functional imaging, the use of which has increased in the past few years, thanks to the diffusion of commercial software packages that allow the analysis of dynamic data sets [ 1– 3].
