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Several analytical models exist for determination of the Young's modulus and coefficient of thermal expansion (CTE) of particulate composites.
Although analytical models exist that allow some assumptions to be relaxed, there is no substitute for a well-designed field study.
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For manufacturing processes where no satisfactory analytical model exists, or where a low-order empirical polynomial model is inappropriate, neural networks offer a good alternative predictive modeling approach.
In their analysis of the status of modeling in evo devo, Collins et al. (2007) concluded that "these models are mostly diagrammatic and functional; very few analytical and predictive models exist within EvoDevo" (p. 373).
Some analytical models already exist to predict the spread and burning behavior of liquid fuel spill fires, however, few experimental studies have been conducted to verify the model results.
In order to determine whether statistically significant differences in predictive capability between models exist, we performed paired t-test analyses of correlations (between DGV and phenotypes) for all analytical models across the 20 bootstrap replicates for each best-fit model (Table 5).
Nevertheless, some models exist.
However, problems with these models exist.
Various models exist across health care models.
Many good, insulated models exist.
Over 50 such clone models existed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com