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We illustrated the usefulness of the models by demonstrating how one can compare solvent coefficients both in general and in particular for specific solutes or sets of solutes to find solvent replacement leads.
Moreover, good leaders don't just supervise their employees; they create a vision and goals for their teams, motivate and inspire progress toward those goals, and serve as role models by demonstrating the behaviors they want others to display, learn from, and pass on.
Manual and semi-automated region of interest volumetry analysis confirms predictions from clinical and theoretical disease models, by demonstrating structural changes in the basal ganglia, limbic structures and prefrontal cortex (Peterson et al., 2001, 2003; Gerard and Peterson, 2003).
This paper contributes to easier and faster Bayesian inference for both Gaussian and several non-Gaussian animal models by demonstrating that these models fit the INLA-framework and by providing an R-package, AnimalINLA, for doing the inference.
We start by highlighting the potential dangers of arbitrarily choosing protein models by demonstrating an empirical example where a single alignment can produce two topologically different and strongly supported phylogenies using two different arbitrarily-chosen amino acid substitution models.
An important caveat of the approach is that knockdown needs to be controlled for off-target toxicity by testing for the lack of effect with mismatched morpholinos and, most importantly for disease models, by demonstrating at least partial (hypomorphic) rescue by the homologous human mRNA.
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In addition, we have showed the effectiveness of our model, by demonstrating it to be attack resistant against Bad mouthing attack, Oscillating behavior attack and conflicting behavior attack.
Our results are consistent with the STAC model by demonstrating that compensation varies with the severity of underlying neural damage and can be exhausted with the onset of cognitive symptoms and increased structural brain pathology.
The approach provided a measure of plausibility of the proposed model by demonstrating that within experimental error the four-branch model adequately represents the data.
In summary, the data presented in Table 3 provide a strong validation of the Bayesian modeling by demonstrating that the data had predictive value of many previously identified interactions of genes that had been examined in the context of their regulatory function in skeletal tissue formation.
The results of the current study support this model by demonstrating the opposing effects of the cid and lrg operons in the control of cell lysis during biofilm development and provide additional insight into factors modulating the release and metabolism of genomic DNA within a biofilm.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com