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Instead of using this approach, application of some artificial intelligence techniques for production prediction is explored in this paper.
Examples of this approach application with children enhance the discussion over its flexibility and the gains of design projects oriented by user needs and desires.
Although considerable preclinical data has demonstrated the feasibility of this approach, application to the clinical setting has met with limited success.
With this approach, application time is significantly reduced in comparison to other techniques (e.g. layer-by-layer assembly), and the structure of the polymer-clay coating is finely tuned by controlling the polymer-clay ratio.
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We call this approach application-layer coding (ALC), since it applies to the actual application data bits, before sending them to the PHY layer.
In order to illustrate this approach, an application is given.
This approach has application in other eukaryotic systems where large data sets are available.
This approach requires application of statistical concepts concerning calculation of confidence intervals for calibrated parameters, identifiability analysis and statistical tests for model discrimination and the model-data-compliance.
This approach, whose application in the context of pathways analysis is still largely unexplored, goes in a direction which can valuably complement approaches more extensively offered by the current literature.
However, this approach is application-dependent and hard to be utilized in other applications.
Peng calls this approach "geofenced applications".
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com