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The environmental classes for the simulated data were defined with environments <-1.5 in class 1, environments ≥-1.5 and <-0.5 in class 2, environments ≥-0.5 and <0.5 in class 3, environments ≥0.5 and <1.5 in class 4 and environments ≥1.5 in class 5.
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Since these data are defined with respect to the coordinate of workpiece, they need converting for machine control commands in machine coordinate system, through a processing procedure called post processing.
Binding regions of each TF used as training data were defined to be regions with number of tags in the top 0.5 percentile.
In this display, the data points where the genotype data were in disagreement with both flanking data were defined as "singletons".
Data were defined as haploid.
For the dairy cattle data, the environmental classes were defined with 5 kg of protein within each class in environments between -45 and 45, and with one class capturing all environments below -45 and one class capturing all environments above 45.
Positive data are defined as peptides with high inhibitory potential, and negative data are defined as other peptides and peptides with random arrays.
Distributions for the data are defined by lognormal distributions with mode equal to measured value and a coefficient of variation equal to 50%, reflecting the level of variability observed experimentally (Table 1).
In these analyses, the first evaluation with an assessment of functional independence along with actigraphy data was defined as baseline.
Sixteen core/required data elements for cutaneous melanoma pathology reports were defined (with an additional 4 core/required elements for specimens received with lymph nodes).
To begin with, the inconsistent data are defined as follows.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com