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The DPIL model fitted five empirical datasets well, reflecting different procedural/episodic learning settings, experimental paradigms (massed/spaced repetition, study time), tests (accuracy, latency), and retention intervals.
In order to validate the method, the stability of the solutions, precision (repeatability, reproducibility and F-Snedecor test), linearity (Lack of Fit and ANOVA tests) accuracy (98 101%), detection and quantitation limits (0.06 and 0.2 mg L−1, respectively), on a selected analytical placebo, were examined.
The best global model with coherent estimates of tests' accuracy for the diagnosis of advanced fibrosis was the model using the 8.8 kPa cutoff for LSM.
As with other rapid screening tests, accuracy is higher for greater bacterial counts.
In our tests, accuracy of the model simulations obtained with PathCaseSB simulation interface is equal to other SBML simulators.
Screening for liver fibrosis is increasingly appropriate as three major recommended criteria have now been fulfilled, including the disease severity, the tests accuracy and the effectiveness of treatments [ 1].
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No confirmed cases of illness related to the shipments, part of a federally mandated program meant to ensure testing accuracy, were reported.
a σ —overall testing accuracy.
Results on test accuracy are inconclusive.
No other comparisons on final test accuracy were significant.
Thereafter, it ameliorates the overall outcomes of testing accuracy.
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CEO of Professional Science Editing for Scientists @ prosciediting.com