To be able to model fine-grained intracellular behaviors, a multiscale modeling approach that embeds intracellular models into the intercellular tissue level models is needed.
This model considers a multifaceted trust modeling approach that incorporates role, experience, priority, and majority-based trust.
To this end, we used a modeling approach that combines the standard, canonical, response model, and a flexible model based on a Fourier basis set.
We present a modeling approach that combines spatially explicit ecological economic modeling and choice experiments to determine the welfare-optimal spatial allocation of WT in West Saxony, Germany.
In line with this call to integrate modeling and experimentation, we present a new systems biology modeling approach that has already enabled a significant model-driven experimental finding, which we present as part of this work.
The approach exploits a recently developed body-force based modeling approach that has been used successfully in aerodynamic instability modeling of jet engine axial and centrifugal compressors as well as in acoustic descriptions of non-uniform flow in transonic fans.
In this paper we propose On-the-Fly Print: a 3D modeling approach that allows the user to design 3D models digitally while having a low-fidelity physical wireframe model printed in parallel.
Furthermore, we discuss a new modeling approach that allows the direct generation of exactly reduced model structures.
Using quantitative decision analysis, I propose a candidate modeling approach that explicitly incorporates uncertainty and flexibly allows for varying degrees of modeling detail to address many of the failings of previous modeling paradigms.
Here I present a cognitive modeling approach that can address that question.
Another aspect of the mechanistic modeling approach that is considered is the inclusion of stochasticity.
