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It is therefore expected that some strains will be extreme on a set of correlated measures, and as a group, may be useful as a starting point in selected breeding or as research models for examination of the biological substrates of extreme phenotypic deviation.
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The human working memory system provides an experimentally useful model for examination of neural overload effects on subsequent functioning of the overloaded system.
Taken together, these data illustrate the importance of fully characterizing and using all genomic information to select the appropriate model for examination.
The rat can thus be used as a model for examination of neural mechanisms underlying the therapeutic effects of MPH on executive functions in humans.
For evaluation of tumor xenograft formation, we transplanted the adherent-growing cultures on the chorioallantoic membrane (CAM) of fertilized chicken eggs, because this method has been recently described as a promising in vivo model for examination of GCTB.
The fly neuromuscular junction (NMJ) is an excellent model for examination of genes involved in synapse formation, function and regulation (Bellen and Budnik, 2000), but can also be used to examine the effects post-synaptic defects in larval muscle on neurophysiology.
The distributional assumptions of multilevel models are difficult to verify when we have few clusters as in our case but these models allow for examination of intervention effect and effect of other covariates simultaneously which is not possible using the method proposed by Hayes.
Despite their specific contributions and recognized relevance, however, attempts to use these models for empirical examination of the evolution and implementation of integration projects are hampered by the scarcity of any validated instruments for this purpose.
Use of source-modeling allows for examination of spatiotemporal activation patterns at the cortical region level as opposed to the traditional scalp potential maps.
Further, the study is well powered, and the multilevel modeling allowed for examination of effects at the individual and area levels.
As shown in Figure 2 and explained below, domain-based phylogenies can help biologists flag possible gene model errors for examination and revision.
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