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Due to the modularity of the approach, it is readily adaptable to quantify interactions of interest.
Much of this integration is accomplished through multiscale models of the interactions of interest.
However, to design such systems, simplified biological models are necessary so that the mechanisms and/or interactions of interest can readily be studied.
Single-molecule approaches to solving biophysical problems are powerful tools that allow static and dynamic real-time observations of specific molecular interactions of interest in the absence of ensemble-averaging effects.
Such assemblies can be found in helicopter or small aircraft engines for instance and the interactions of interest shall arise due to the always tighter operating clearances between the rotating and stationary components.
In addition to correct classification, this requires finding the subspace in the video containing interactions of interest.
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For the first set, interactions-of-interest reflect differences between phases.
For the second set, interactions-of-interest reflect differences between migraine and healthy subjects.
In the response space, we aim to extract tubes that contain the interaction of interest.
A trained model can be used to detect an interaction as a spatiotemporal tube within a video that contains one or more occurrences of the interaction of interest.
Typically, there are 20 overlapping pp interactions ("pile-up") in the same crossing of proton bunches as the interaction of interest.
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