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The design procedures developed herein are validated by comparing the existing test results presented in literature.
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In order to determine objectively the fractal behaviour of a time series, and to facilitate potential future attempts to assess model performance by incorporating fractal behaviour, a multi-order robust detrended fluctuation analysis (r-DFAn) procedure is developed herein.
In whole, the methodology developed herein replaces an ad hoc procedure with a well-defined, systematic procedure that produces an optimal design subject to limited resources, implementation restrictions, and cost factors.
A physically-based flux model is developed herein.
A quantitative approximate theory of this synchronization is developed herein.
A simple, more precise approach is developed herein.
The ease and simplicity of the method developed herein is also worthy of note.
The methodology developed herein, however, is not limited to the constant effective-stress condition.
Indeed, for macrolides, the model developed herein was based on the French situation.
The method developed herein for conditional knockdown can be used for validation of other targets.
Finally, although the models developed herein are innovative, the rescaling algorithm is sample-dependent by design.
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