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Because a key driver of conflict is the pursuit of food by wildlife, we used patch selection models, a dynamic, state-dependent modeling approach based on foraging theory, to assess how benefit reduction and cost increase resulting from conflict mitigation affect wildlife foraging decisions.
For the purpose of improving our understanding and the development of pertinent models, a dynamic test bed, based on a bolted structure, is designed and modal testing is performed.
We developed two models: a dynamic disease model capturing the spread of influenza and an economic model capturing the costs and benefits of school closure.
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In the Section 'Dynamic network model', we extend this model to a dynamic model to incorporate changes over time.
Spitzer, M.H. et al. An interactive reference framework for modeling a dynamic immune system.
Based on this static design model, a dynamic model of innovative design process is developed.
To model a dynamic neighbourhood discovering step using broadcast messages.
In particular: To model a dynamic neighbourhood discovering step using broadcast messages.
By using this information, we can model a dynamic deviation adjustment based on support vector regression (SVR) [13].
Time series models and artificial neural network (ANN) models are such 'black box' models which are capable of modeling a dynamic system.
NetGenerator V2.0 was successfully applied to model a dynamic, medium-scale (24 genes and 4 stimuli), robust GRN of moderate complexity (57 edges).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com