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Although cell line models provide highly reproducible results, these findings may have a limited clinical relevance [ 3, 4].
By including location-specific covariates, our spatiotemporal models provide highly spatially and temporally resolved estimates of outdoor PM concentrations that can be used to estimate chronic exposures to PM2.5 and, for the first time, to PM10 2.5 as well.
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Using only two free parameters to describe the selectivity and the sensitivity of each species' auditory sensory filters, the model provided highly accurate predictions of frequency-range discrimination in songbirds and in a parrot species, but performance and its prediction were less accurate in pigeons: the only species tested that does not learn its vocalizations.
Such models can provide highly useful information for clinicians when having to make sensible treatment decisions.
Moreover, results also revealed that the presented model can provide highly accurate predictions with a few number of elements and grid points within each element.
Use empirical measures of accuracy such as confidence levels or other statistical quantities if the aim of models is to provide highly accurate predictions or decisions. .
Overall, the dynamic in vitro lipolysis model seems to provide highly useful initial guidelines in the development process of oral lipid based drug delivery systems for poorly water soluble drugs, and it predicts phenomena that occur in the pre-enterocyte stages of the intestinal absorption cascade.
These linear regression models provide a highly accurate (with a maximum standard error of 0.004) representation of the numerical data and can be conveniently used in engineering practice.
Principal component (PC) and factor analytic (FA) models provide a highly parsimonious structure for the VCV matrix compared to the standard multi-trait model, e.g. [ 6, 7] and they have, therefore, attracted considerable interest for their potential to ease the burden of the estimation process for multiple-trait across country evaluations (MACE) [ 8].
In the last 25 years, the CAM assay has become established as a model for angiogenesis research; this has been used to provide highly reproducible models for aggressive and malignant tumors including glioblastoma and pancreatic adenocarcinoma [ 31, 32].
Both genetic models of cancer and human xenografts provide highly valuable tools to model human disease (Richmond & Su, 2008).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com