Ai Feedback
Exact(9)
The method implemented here for comparison purposes is a FFT-based local Wiener filtering [12].
The traditional method implemented here features a novel fast calculation of fluid velocity off the interface.
The method implemented here is based on the use of symmetries, similar in essence to the approach discussed by Hart and Forcade [29] and consists of two stages.
The proposed method, implemented here under the assumption of axisymmetry, allows us to show numerical evidence of convergence of the phase-field solutions to the sharp interface limit as the regularization parameter approaches zero.
The incremental method implemented here also allows the fine tuning of the interval between subsequent validations, given one may wish a more immediate system response (by validating each change) or a more conservative and efficient behavior (by validating a group of changes).
The method implemented here overcomes this problem, estimating genetic diversity at the inferred time of transmission, and therefore allows accurate quantification of the transmission bottleneck.
Similar(50)
Another requirement we placed on the methods implemented here is that they needed to be capable of performing predictions on realistic sized datasets in a reasonable time frame.
Together, these data suggest that the novel methods implemented here improve on existing amylase copy number measurement (see Supplementary Material, Dataset S1).
Future longitudinal studies should explore the influence of bilateral WM on language function following stroke in more detail, while attempting to obtain converging evidence using various techniques, similarly to the methods implemented here.
Overall, the genes found to be associated to the overrepresented GO terms and KEGG pathways, as identified by the three methods implemented here, were largely unique to each lineage, although there was some overlap between species (supplementary table S8, Supplementary Material online).
However, this method was implemented here due to its simplicity and potentially small bias (Glasziou et al. 2008).
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