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Differences in the results obtained may be partly due to different model systems or experimental methodology; however, these discrepancies also raise the possibility that the function of miR-9 in neurogenesis and proliferation is highly context dependent.
The former has the difficulty of accounting for drainage structure for post-development condition and the latter can run into erratic evaluation as the error can be introduced due to different model conceptualizations and parameterizations.
However, due to different model assumption and estimation process, their standard errors were not the same (details not shown), and hence the p-values were different.> -wrap-foot> **P-value < 0.01; *P-value < 0.05.
The present findings indicate that the favorable survival attributed to higher numbers of nodes removed, as suggested by Krag and Single [ 40], might be due to different model specifications.
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Results suggest a large uncertainty in the predicted storage ratio, given the uncertainties in model parameters and modeling choices: the SR varies from 5 60% (end of injection) to 18 100% (end of monitoring), although its variation among the model families due to different modeling choices is relatively minor.
Kinetic modeling of brain glucose metabolism in small rodents from positron emission tomography (PET) data using 2-deoxy-2-[18 2-deoxy-2-[18 2-deoxy-2-[18 2-deoxy-2-[18inconsistent, due to different modeling parameter settings and underestimation of the impact of methodological flaws in experimentation.
The difference between the outcomes seen in these studies and the one presented here is likely due to different models of infections and viruses used, respectively [36].
The existing simulation tools for computer networking can not be directly used for molecular communication due to different communication model and channel characteristics of the fluid environment and the carrier wave properties.
Here we observe that the improvement due to the extension to the word neighbourhood (N2*versus N2 mm, rc ) is better than the improvement due to different background model estimates (N2*versus D2*, Table 4).
In particular, such a diagnostic bias can happen to any classifiers due to different decision models, input data distributions, and/or model selection choices.
A further study should examine whether there are differences in treatment outcome due to different CBT models.
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