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To draw a picture of the future, recent megatrends were used to describe solid, likely developments, while prospective ones allowed us to estimate developments which are more uncertain.
Comparisons of our results with the published ones allowed us to produce the RHNumtS compilation.
These interviews, like the earlier ones, allowed us to evaluate construct validity.
The non-conflictual information about the rejected groups and the convergent information about the possible ones allowed us to suggest three possible groupings: (i) the proximity of the Archaea and the Cyanobacteria, (ii) the proximity of the Spirochaetes and the Actinobacteria and (iii) the proximity of the Proteobacteria and the Firmicutes, while other configurations are rejected.
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The classical critics always say: "An inferior painting offers only a view, the better ones allow us to travel in it and the best lead us to want to live in it".
The simulated electron absorption wavelengths are in good agreement with experimental ones, allowing us to assign their electron transition characters with high confidence.
Comparison of the experimental results (see Fig. 6) with the obtained ones allows us to suppose that prolate nanoclusters dominate in our samples.
"Reductions, especially programmatic ones, allow us to make unexpected discoveries and can potentially reveal hidden truths about corpora".
The improvement of the computational equipment, especially the use of GPUs, and the improvements made in the optimization of MD algorithms, including coarse-grained ones, allow us to move from the analysis of single structures, the basis of the molecular modeling as we know it, to the analysis of conformational ensembles.
Converting the native signal sequence of DsbG to an SRP-dependent one allowed us to circumvent mutations that may alter the secretion of DsbG*.
In contrast to the two previous samples, sample III, the more unbiased one, allowed us to better identify the subset of significantly robust sncRNAs.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com