From an application of the model in the Langtang catchment in Nepal the following conclusions are drawn: The combination of hydrological processes and glacier movement in a high resolution raster based model enables the accurate simulation of both glacier evolution and river flow in a high altitude glacierized catchment in the Himalayas.
Our use of copula-based models enables the estimation of the joint model in stages, greatly reducing the computational burden.
Physiologically based pharmacokinetic (PBPK) modeling enables the estimation of tissue and blood POP levels based on physiologic parameters, such as organ volume and blood flow, as well as compound physicochemical properties.
The Markov chain-based models enable tractable queue analysis with the well-established fluid-flow analytical framework [13].
Calculations based on existing wing-crack models enable the estimation of the grain-boundary cohesive energies.
Based on our early observations, we postulate that our model enables the prolonged maintenance of some tumor cell subpopulations that would have died out in other conditions.
This work is based on the system model enabling the dynamic adaptation of mobile devices in cognitive radio networks analysed in [1] by introducing prediction schemes for the load balancing of user requests.
Drug metabolism is described semi-mechanistically, based on the well-stirred model, enabling the interrogation of factors that may affect drug pharmacokinetics (e.g., blood flow, drug binding, and enzymatic activity).
Similarly, the niche based models used here could enable a decoupling of environmental from social factors to assess the importance of the latter on leishmaniasis transmission in particular areas.
The use, for the first time in process synthesis, of atomic balance, and Gibbs free energy minimization based equilibrium reactor models, enables a broad state-space search for process intensification opportunities, even by low dimensional, feasible, linear programming, IDEAS approximations.
