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To date, IRAP effects have commonly been quantified using the DIRAP scoring algorithm, which was derived from Greenwald, Nosek and Banaji's (2003) D effect size measure.
The effect of cooling rate, chemical composition, and type of heat treatment and microstructural architecture of cast Al Si 319 industrial alloy has been quantified using the cumulative Weibull distribution.
The shear thinning behavior of the bentonite drilling mud with and without polymer has been quantified using the new hyperbolic model and compared with two other constitutive models, Herschel Bulkley and Casson models.
The shear thinning behavior of the smart cement slurries have been quantified using the new hyperbolic rheological model and compared with another constitutive model with three material parameters, Herschel Bulkley model.
In other tasks, these processes have been quantified using the diffusion model (Ratcliff, 1978; Wagenmakers, 2009), one of the most prominent process models in experimental psychology and neuroscience.
The accuracy of CGM data with respect to reference BG measurements has been quantified using the mean absolute relative difference (MARD) and the Clarke error grid (CEG).
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Spike properties were quantified using the first evoked spike.
TERRA signal was quantified using the Definiens Developer XD.2 software.
Western blots were quantified using the Image Studio Lite program.
Motif enrichment was quantified using the PWMEnrich102 R package.
Protein levels were quantified using the Chemi Capt software (Peqlab).
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