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Using twice as much GMM training data and retaining the same training data to train the DNN-based feature transformation model (experiment 2), the relative error rates of all methods were reduced by more than 40%.
Computation time with the Advanced Mean Value (AMV) and FORM methods were reduced by 100-fold compared to Monte Carlo, promoting the notion of utilizing probabilistic assessments within the design process.
Differences between methods were reduced on the true gene trees, but otherwise, all the trends are the same as for estimated gene trees.
It is important to note, however, that the power estimates of all outlined methods were reduced in simulation runs where variants with opposed effect directions were included.
As noted in the table, the odds of using CAM interventions compared to not using CAM methods were reduced by a factor of 0.73 for every 10 year increment of increasing age.
DOI: http://dx.doi.org/10.7554/eLife.06414.013 In the presence of low TTX, both the number and the amplitude of large-amplitude dendritic events (i.e., bAPs and large dSpikes, all with amplitudes >40 mV; see 'Materials and methods') were reduced (control: amplitude = 56.2 ± 1.8 mV, n = 39 events; low TTX: amplitude = 44.8 ± 1.7 mV, n = 17 events; p < 10−4 by Student's t-test).
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The efficiency of some of these methods is reduced due to major drawbacks including low removal efficiency and causing side effects that lead to new environmental issues.
In this way, the traditional 4D search in the MUSIC methods is reduced to three 2D searches for our estimators (27) and (14).
Along with the increasing confidence of wind power forecasting, the differences of power shortage decrement between the two methods are reduced.
The baseline-normalized fluorescence amplitude (see Methods) was reduced in both DS mouse models.
Here, the dominating power of MANOVA over the other methods is reduced as the correlation between residuals decreases.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com