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Vocal Tract Length Normalisation (VTLN) is a standard approach used to overcome this variability.
To overcome this variability, we provide lateralization index (LI) values for CVR within the middle cerebral artery territory to detect CVR impairment.
To overcome this variability a larger sample set may be needed.
To overcome this variability, larger alterations than those observed in intrinsic contractile characteristics would have been required to allow for detectable changes for the fast voluntary isometric actions.
We attempted to overcome this variability and potential overlap through subgroup analysis, but the results should still be treated with caution.
Understanding the underlying mechanisms for this variability is important, both to optimize the delivery of BCG (or newer BCG replacement vaccines) and to facilitate the development of booster vaccines that overcome this variability.
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This result confirms that pre-analytical variability exists in our study and provides evidence that, as designed, our study largely overcomes this variability to maximize the chances of discovering true, robust biomarkers of NSCLC.
To overcome this technical variability correct experimental design is critical.
To overcome this temporal variability, we applied a classical binning technique that accounted for intersubject and intertrial variance [ 54] by resampling stimulus classes into 20 equal length time bins; because the encoding stimulus class spanned the presentation of 3 study items plus the retention interval, the encoding class was resampled into 60 time bins.
To overcome this source of variability, we performed Western blotting using the same sample against β-actin (monoclonal, Sigma, no. A5441) as a control.
To overcome this problem of variability in size and location of the PAC, we employed linear resizing and shearing as well as nonlinear warping of the brain to normalize the individual brains into a standardized stereotactic frame.
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