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Our approach is to split long time spans into relatively short segments where the quaternions are assumed constant.
Our approach is to split one single strand aptamer into two pieces and each terminally labeled with a pyrene molecule while maintaining their binding affinity to target molecules.
The second approach is to split the anisotropy in half between the two axis directions by subtracting resistivity from one direction and adding to the other such that the total conductivity split is a factor of α, centered on the background profile (type 2).
A traditional approach is to split data and perform model development (training) on a sample, and model validation (test) on the remainder.
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The first approach to consider is to split the two sets of users, namely the sets of voice and data users, and solve the association procedure for each group separately, first the voice users and then the data users.
Ottesen's approach [15] is to split the system into arterial and venous compartments, with non-pulsatile flow, and a source term that models the effect of the left ventricle.
A common approach to internal validation is to split the data set into two portions a "training set" and "validation set".
A different approach called cross validation is to split the data set in two parts, using one part for estimating model parameters, and the other for evaluating model fit.
One common approach to resolving these problems is to split the fast and slow dynamics into separate subproblems.
A natural approach to such an investigation is to split the genome into bins along the genome, e.g. one bin per chromosome, cytoband or gene, and then perform a statistical test of a null hypothesis H0 versus an alternative hypothesis H1 for each bin.
Another approach would be to split up the group of first responders into subgroups who alternatively receive prophylaxis, but the pressure on the drug sensitive virus exerted by prophylaxis mainly depends on the prophylaxis coverage and does not change much if different people receive the drug at different times.
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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