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The proposed method greatly improves the classification correctness ratios of the defect models using conventional observations of phase resolved partial discharge (PRPD).
Herein, we describe magnetic cell levitation models using conventional polymeric microparticles or nanoparticles as a substrate for the three-dimensional tumor cell culture.
The intron occurrences were validated in two gene models using conventional PCR.
Early models, using conventional monolayer cell cultures, compared normal and scar-derived fibroblasts, or tried to induce a scar phenotype from healthy fibroblasts (32– 32).
To assess the stability of our approach, we constructed alternative models using conventional multivariate regression instead of the propensity score stratification, which yielded very similar results.
These 3-dimensional spatiotemporal volumes were submitted to mass univariate general linear models using conventional SPM procedures (Kilner et al. 2005).
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Most prediction models used conventional respiratory support in their developmental cohorts and therefore included solely conventional respiratory settings as predictor variables.
The first 10 models used conventional exposure metrics often employed in pharmacoepidemiology. Models 1 4 disregarded information on glucocorticoid dose and represented exposure by binary indicator variables of: (1) current use on the index date; or any use in: (2) the previous 30 days; (3) 90 days; (4) or any time in the past (indicator of ever exposed).
This paper explores these issues and discusses why biomedical data are difficult to model using conventional relational techniques.
In particular, flow through the duct where the Knudsen number is small enough is modeled using conventional CFD techniques.
The bulk reaction was successfully modelled using conventional free-radical polymerisation with termination rate coefficients calculated from diffusion theory.
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