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Most of the analysis and overlay operations are easily and efficiently done in the raster model, and therefore, all maps in vector model were converted into raster structure using the Arc GIS software.
Survival coefficients in this discrete-time survival analyses model were converted to odds ratios (ORs) for ease of interpretation; significance tests of sets of coefficients in the logistic regression models were made using Wald X2 tests based on design-corrected coefficient variance-covariance matrices.
The ordinary and delayed differential equations of the mathematical model were converted to a Matlab code and run on Pentium M notebook computer, using Matlab 7.0.4 with either the ode23 or ode23s solver.
The odds ratios (ORs) from the logistic regression model were converted into points by dividing by the smallest OR for any given other OR.
The majority of CHCs with this model were converted either from former first-level hospitals or from the out-reach clinics of secondary and tertiary hospitals.
Significant continuous covariates in the first model were converted to dichotomous variables using a cutoff value determined by the Youden index created by a receiver operating characteristic (ROC) curve [ 24].
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Therefore, the neural space model was converted into a mathematical space model.
The toll gate model is converted into 3ds format to import to graphics in MATLAB.
Optimal mathematic model is converted into unconstrained mathematic model using penalty function method.
The model is converted into a two-stage model keeping the calculation logic.
The proposed model is converted into an equivalent auxiliary crisp model.
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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