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DSGE models have recently been more widely used for such analyses as they allow to present arguments in a rather structural way and give some numerical assessment, too.
There is, however, no general consensus on the size of the load and the shape of the load time history to be used for such analyses.
It is shown that in order to model foams considering all the heterogeneities, even with larger size and having non-uniform stress field the use of currently existed finite-element and micro-structural models are not sufficient and the proposed multi-scale modeling which leads to acceptable results can be used for such analyses.
In some instances, the phylogenetic trees used for such analyses are fully bifurcating, but in many cases the phylogenies being used contain unresolved nodes (i.e. polytomies).
Similar results were observed when GST_C domain regions were used for such analyses (Fig. 3C and D).
Major points: 1) In the Introduction, it is suggested that Data-Dependent Acquisition (DDA) used for such analyses of MHC peptidomes results in less reproducible results.
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Among the most frequently used techniques for such analyses include field methods (piezometers, lysimeters, tracers, etc).
Microsatellite DNA markers are probably the most commonly used markers for such analyses.
Reliable divergence-time estimation of molecular phylogenies depends on the quality of the fossil record, and a poor fossil record of Lepidoptera may be of minimal use for such analyses.
Often the non-parametric Kaplan-Meier curves are used for such time-to-event analyses; for this study, however, we used Weibull functions to fit the data.
The multilevel methods (HLM) we used are appropriate for such analyses and the SACMEQ II nested data design.
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used for quantitative analyses
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