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Model testing consists of towing a precisely made model of the hull at a precisely controlled speed, in calm water, while measuring the force required to tow it.
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A full Bayesian model that adjusts for multiple testing consists of a tri-level hierarchical Bayesian model that allows one to estimate the posterior probability to belong to the set of the null or alternative hypotheses.
Model testing approach consist of verification, calibration, sensitivity analysis, validation and qualification stages.
In this article we introduce an in vitro model for hepato-mediated toxicity testing consisting of a Hepatocyte-Bioreactor connected to a microphysiometer system for monitoring of the extracellular acidification rate (EAR) of cells.
Testing consisted of two phases.
The first model that we tested consisted of an aggregation technique where mES cells were dissociated with trypsin and allowed to reaggregate to form embryoid bodies (EB) in the absence of leukemia inhibitory factor (LIF).
The homology model dataset, H-test, consisted of 15 antibody antigen complexes as used by Krawczyk et al. (2013) and Sircar and Gray (2010).
The test consists of performing a likelihood-ratio test on a site-wise basis, testing the null model (neutrality, ω = 1) against an alternative model ω≠1 (ie purifying selection ω<1; positive selection ω>1).
All tests (a total of 480 tests) were carried out in a dry state on a universal testing machine with a testing model consisting of three 0.022-in 0.022-in
The test consists of 200 questions.
The test consists of true or false questions.
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