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For the dependency modelling, we find that the path loss model (the relationship between received signal strength and distance) is generally applicable for dependency modelling in the case of distributed sensing measurements.
Using a combination of integral long-profile analysis and stream-power modelling, we find that the locations of ∼80% of knickpoints in our study region are consistent with that predicted for a fluvial origin, while the mean residual error over ∼100 km of modelled channels is just 26.3 m.
Using computer modelling, we find that CHS-828 and TP201565 most likely function as inhibitors of NAMPT by binding to the same site as APO866 and nicotinamide.
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By mathematical modelling, we found that this mechanism confers both robustness and regulation to signalling output.
"When they can incorporate things into a mental model, we find much better retention".
In the network model, we find N-1 braided paths for each intermediate node.
By comparing the experimental results with the enhanced wicking model we find good qualitative agreement.
In our high-resolution regional models, we find that another striking difference between free-slip and free surface models exists.
If we consider our best performing model, we find that it has average precision of 0.3 and recall of 0.65.
Using our developed model, we find that the degradation of oil droplets typically goes through two stages.
From the model, we find that the Value of Waiting is sensitive to managerial flexibility in the Philippine Universal Banking environment.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com