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Interestingly, this new method produces very different outcomes.
The qualitative and quantitative analysis of the attenuation maps revealed that the SPM8-based method produces very robust results (Figure 1).
We have shown that with even a small number of individuals our method produces very accurate estimates.
When faced with such high dimensional datasets, the results show that the natural bias of each FS method produces very divergent results.
In this extreme case, the method produces very few results: only five ORFs (1% of the total) are assigned, all of them to other Euryarchaeota.
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The method produced very strong relationships (adjusted r2 = 0.97) between the predicted and actual harvested biomass for the plots studied.
We can speculate that this method produced very small silver particles, but the solution remained in suspension in a short time.
Furthermore, we manually corrected the artifacts in four patients from GroupINNER and seven patients from GroupOUTER, and by comparing the MR-AC maps and their resulting AC-PET images, we found that our automatic correction method produced very similar results.
For both the subsample and the 2-sample strong IV scenarios, the SUR/delta method, sequential regression, Fieller's theorem, and the Bayesian method produced very similar confidence intervals, with the bootstrap method producing slightly wider confidence intervals.
In the end, the polls were right in Scotland, but not in England: the same companies, and the same methods, produced very different results.
Both methods produce very high-resolution surface 3D point clouds and allow surface measurement from the computed profile.
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CEO of Professional Science Editing for Scientists @ prosciediting.com