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The models formed a nested hierarchy of complexity for model testing, comparing the free ratio to two ratio and both to the one ratio (for cases where the two ratio was not supported but the free ratio was), with p-values calculated from a χ distribution.
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The models form a background for creating a control system for the process.
The candidate models form a class of non-Gaussian, stationary, stochastic processes.
These workflow models form a valuable resource for workflow domain knowledge, which should be reused to support workflow model design.
Mixed-effect models form a class of model that incorporates multilevel hierarchies in data and can account for the nested structure of our dataset.
Such reduced experimental models form a natural bridge between single cells and tissue/organ level experimental systems to validate and advance theoretical concepts of cardiac propagation and arrhythmias.
The combination of phylogenetic analysis, molecular clock and demographic models forms a powerful framework to construct and test hypotheses about viral epidemics.
We observed that these residues in both models form a loop between two alpha-helices.
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Multi-state models form a flexible framework allowing for the standard survival model to be extended by adding more than one transition and more than two states.
Numerical head models form a bridge from a macroscopic load on the head toward the fine scale loads at the tissue level.
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CEO of Professional Science Editing for Scientists @ prosciediting.com