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Model analysis suggested that translation interactions were more fragile and transcription more robust in AI versus AD cells.
Model analysis suggested, and experimental results confirmed, that IGFBPs present during IGF1 treatment significantly decreased IGF1-mediated proliferation.
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Furthermore, a general linear model analysis suggests that the distribution of Chalcolithic sites is determined primarily by environmental factors rather than factors related to political organization.
The model analysis suggests that the RAPID method underestimates the mean AMOC by ∼1.5 Sv (1 Sv = 106 m3 s−1) at ∼900 m depth, however it captures the variability to high accuracy.
These findings and the model analysis suggest that the following dual mechanism underlies the cross-bridge mediated activation in sarcomeres.
As detailed below, our model analysis suggests these parameters play a significant role in shaping the AT1RGRN output over time.
The results of our structural equation model analysis suggest that a latent urinary As variable representing urinary iAs, MMA, and DMA is associated with SCC.
The linear mixed model analysis suggests that the dependencies of different metabolite classes and related metabolic phenotypes among themselves and with the specific diagnostic groups are likely complex.
Loss of immunity was not considered in this model (analysis suggests a similar transmission coefficient at each follow-up period (Liu et al., 2013), contrary to expectations if loss of immunity played an important role).
Additional analyses substantiated that this pattern of results is in principle agreement with findings from a Bayesian model analysis, suggesting that high-frequency edges are more predictive of fixation behavior than luminance or contrast.
It demonstrated that although the marginal method of analysis makes potentially unwarranted assumptions about independence of best and worst choices and the nature of the error terms in the utility model, it provides a good approximation to the paired (maxdiff) model analysis, suggesting that the resulting estimates are consistent.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com