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The seismic signals are typically non-stationary and the conventional methods cannot analyze them well.
Because of the anisotropism of asphalt mixtures, traditional experimental methods cannot analyze displacement and strain fields accurately.
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However, this method cannot analyze frequency of features.
This method has realized excellent athletic performances and clarified injury mechanisms, although it cannot analyze the performances that have not been realized, for instance, a performance that surpasses the current world record.
It is worth pointing out that the presented methods cannot be applied to analyze the synchronization of two nonidentical chaotic neural networks with time-varying delays.
Moreover these methods cannot be used to analyze cis-acting regulatory elements.
As such, these methods cannot be directly used to analyze BS modification accompanying motion artifacts.
These methods cannot be used satisfactorily for analyzing expression levels of unknown transcripts.
De-identified data sets with local recoding are often more difficult to analyze because standard statistical methods cannot be applied to them.
It is well known that all the projection type methods cannot be extended and generalized to suggest and analyze iterative methods for solving the mixed variational inequalities involving the nonlinear terms.
Existing brain network-based methods to classify subjects analyze data from a cross-sectional study and these methods cannot classify subjects based on longitudinal data.
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CEO of Professional Science Editing for Scientists @ prosciediting.com