Results 241 to 250 of about 2,250,860 (287)
Next-generation osteoarthritis models: integrating biological, computational, and engineering approaches. [PDF]
Stem Cell Res TherLabusca L.
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Hybrid modelling using simulation and machine learning in healthcare.
Comput Oper ResAhmadi A, Fakhimi M, Magnusson C.
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2013
The context of the membrane is crucial for the interaction of many membrane proteins with their ligands. However, many detailed studies cannot be carried out in living cells. Therefore, studying these interactions requires model membrane systems that are compatible with the used analytical method.
Keller, H., Worch, R., Schwille, P.
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The context of the membrane is crucial for the interaction of many membrane proteins with their ligands. However, many detailed studies cannot be carried out in living cells. Therefore, studying these interactions requires model membrane systems that are compatible with the used analytical method.
Keller, H., Worch, R., Schwille, P.
openaire +3 more sources
Braking System Components Modelling
SAE Technical Paper Series, 2003<div class="htmlview paragraph">The paper deals with a method implemented to study braking systems design, modelling components' characteristics through commercial software. It summarizes the potential improvement possible by using modelling techniques in chassis systems design. The first part consisted in producing a passive braking system model.
Fortina, A. +2 more
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Modelling Manufacturing Systems
IFAC Proceedings Volumes, 1984Abstract The traditional approach of extrapolating past experience in order to predict the performance of manufacturing facilities has been found to be quite inadequate for automated manufacturing systems. The need to identify the key factors influencing performance has led to the development of both simulation and analytical models to help in design,
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International Journal of Bifurcation and Chaos, 1995
The paper introduces some new techniques which facilitate the study of nonlinear coupled ordinary differential equations modelling ecological systems. The strength and weaknesses of these techniques are discussed in detail. It also assesses the usefulness of “deterministic chaos” as a paradigm to understanding the dynamics of interacting populations.
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The paper introduces some new techniques which facilitate the study of nonlinear coupled ordinary differential equations modelling ecological systems. The strength and weaknesses of these techniques are discussed in detail. It also assesses the usefulness of “deterministic chaos” as a paradigm to understanding the dynamics of interacting populations.
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2012
Earth system models are important research tools for improving understanding of the climate system and for simulating climate projections. This chapter is devoted to the basic construction principles and challenges of such models, whereas application examples are provided in companion chapters. Since they still do not incorporate the full complexity of
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Earth system models are important research tools for improving understanding of the climate system and for simulating climate projections. This chapter is devoted to the basic construction principles and challenges of such models, whereas application examples are provided in companion chapters. Since they still do not incorporate the full complexity of
openaire +2 more sources