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For nanopeapods with linearly arranged nested fullerenes, equivalent pressure distribution is proposed to model these interactions.
Circuits that model these interactions are also presented in this paper.
Cyber-physics system (CPS) engineering methods could provide valuable insights to help model these interactions and optimize the design of such systems.
We also discuss gene environment interactions, a major challenge in complex disease genetics, and we present examples of cell-based approaches that model these interactions in vitro under controlled conditions.
Attempts to model these interactions have generally taken the form of amino acid base recognition codes or purely sequence-based profile methods, which depend on the availability of extensive sequence and structural information for specific structural families, neglect side-chain conformational variability, and lack generality beyond the structural family used to train the model.
In our model these interactions are schematized via the sequence-matching rule for the sharing of information between the cognates/cognate response elements.
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Treating combinations of components as clinically meaningful units encompasses the complex intersections, synergies and conflicts between components, though it misses the opportunity to specifically model these interaction effects.
If the items and persons fit the model, these interaction statistics would have a mean of approximately zero and a standard deviation (SD) of one.
Game theory offers a perspective of analysis and modeling these interactions.
Using the behavior-based approach to manage the interactions between the robot and its environment, we propose a method that models these interactions and adapts the selection of behaviors according to the history of behavior use.
Modelling these interactions by means of networks and studying their topological properties is, therefore, one way to understand the context of these molecular functions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com