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A wait-list controlled trial design was chosen in order to model our methodology after Linden et al. 23 The main outcome measure is mean awake and 24 h systolic and diastolic ambulatory blood pressure (ABP).
While, we have used the simulated metagenomic reads from the human gut microbiome to test the model, our methodology is very generic and hence can be applied for phylogenetic analysis of any metagenomic sample.
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Still, we claim, the experiments, the model and our methodology can contribute to the discussion of what exactly characterizes a prudent use of antibiotics in modern agriculture.
In order to bring more insight into the goal-based model and the behavior-based model, we illustrate our methodology by an example of the air traffic control system.
Compared to previous storage models, the storage model produced with our methodology showed database performance improvement ranging from 26%to31%1%, on the average.
In addition to their immediate motivational value for the particle-based modelling, our novel methodology and the resulting MRL models have some other interesting applications.
LUAIRTOX, the interactive spreadsheet model that applies our methodology to the California data, is available at http://www2.bren.ucsb.edu/~mwillis/LUAIRTOX.htm.ucsb.edu/~mwillis/LUAIRTOX.htm
From the same paper [ 28], we selected a second model to validate our methodology.
However, KLF4 was not pointed out as RD according to the reconstructed model and by our methodology due to it is not involved in DEPCs.
Thus, in the rest of this paper, we use the NFBLB model to demonstrate our methodology in order to better understand how individual parameters contribute to the mechanism underlying the chemotaxis of E. coli.
In contrast, the second situation involves reactions like those with the highest number of participating metabolites, which according to confidence scores in the database were included in the reconstruction on the basis of modeling reasons while our methodology predicts very low scores.
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