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The specific negative binomial regression model for predicting larva density per m2 using all available predictor variables was defined as follows (The abbreviations correspond to those given for model 7): g 1 μ i = β 01 + f 11 DW T i + f 21 CT H i + f 31 eas t i, nort h i (8a).
The specific Poisson regression model selected for predicting larva density per m2 using all available predictor variables was defined as follows: g λ i = β 0 + f 1 DW T i + f 2 CT H i + f 3 eas t i, nort h i (7).
Ki-67 as a continuous variables was defined as high expression (>20%) or low expression (≤ 20%) according to their median expression level before NC.
The baseline value for the predictor variables was defined as the value on the baseline date or the most recent historical value.
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The moment-generating function of a random variable is defined as I write it as m sub x.
The input operating variables of the CDU system were properties of crude oil and manipulated variables; while the system output variables were defined as oil product qualities.
Additionally, the output variables were defined as the temperatures of the freezer, the evaporator plate, and the compartment air and the compartment air relative humidity.
Three dimensionless variables are defined as width ratio of chip to channel pitch (N), the width radio of channel to pitch (I) and aspect ratio (αc).
Those variables are defined as follows.
These variables are defined as follows.
These variables were defined as "change", "forecast" and "understand" respectively.
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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