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To determine whether our new model of NEC was comparable to currently used models, we compared our results with the two currently used mouse models of NEC: the hypoxia-hypothermia model (Barlow et al., 1974; Musemeche et al., 1991; Dvorak et al., 2002) and the LPS+PAF model (Maheshwari et al., 2011).
To check these models, we compared these models MSE in both previous and recent simulation studies.
As part of the evaluation of IGRF-11 candidate models, we compared candidate models and actual measurements.
To assess these models, we compared outcomes to a simple design-based estimate commonly used in forest inventories.
To further evaluate the prediction ability of our models, we compared our prediction results with the published models in recent papers.
To investigate this point in the frame of GP models, we compared the performance of various kernels (Bessel, Laplacian, NP, and PUK) with the radial and polynomial kernels.
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Coupling the shift behavior explained above with the models, we compare awareness/attention index of agents with quality of regional density information.
In order to validate the dynamic characteristics of the current models, we compare the STFs with that obtained by the kinematic slip inversion analysis.
The four models we compare are: 1.
In selecting from among the hypertabastic, log-logistic, and Weibull proportional hazard models, we compare these models using the −2 log-likelihood score and the Akaike Information Criterion (AIC) [ 28].
To investigate the validity of the model, we compared the model results with experimental data and found satisfying similarities.
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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