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According to PC Magazine, "two models were demonstrated: a $199 and $299 model".
The binding models were demonstrated in the aspects of inhibitor's conformation, subsite interaction, and hydrogen bonding.
The validity and accuracy of the FE models were demonstrated by comparing theoretical and experimental results.
PARM has certain advantages: (a) it can be used for many systems, regardless of whether the 3D structure of the receptor is known; (b) PARM models were demonstrated to be highly statistically reliable; and (c) PARM analyses are robust and reproducible.
Anti-convulsive effects in acute seizure models were demonstrated after increasing endocannabinoid signaling through systemic administration of CB1 receptor agonists [28], or endocannabinoid degradation inhibitors [5], [29], [30], while application of CB1 receptor antagonist SR141716A can block the anticonvulsant effect of cannabinoids [5], [28].
Univariate and multivariate logistic regression analyses were performed and presented with odds ratios (OR) and their 95% confidence intervals (CI) where different models were demonstrated.
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Successes of numerical simulation models are demonstrated through specific examples.
The performance of the identified fuzzy models is demonstrated.
The shortcomings of the existing models are demonstrated.
Improvements in SOC estimation using the new model compared to other existing models are demonstrated.
Need for coupling the reaction engineering model with population balance models is demonstrated.
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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