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So the models showed a significant relationship between high numbers of coyotes and high numbers of Lyme disease cases.
The two models showed a dose-dependent toxicity potential by the nanoparticle.
None of our statistical models showed a significant relationship between low SIDa and outcome.
Uncensored models showed a paradoxical increase in mortality associated with the first hour in a hospital.
The models showed a good performance, when validating using literature data and own experimental results.
Mathematical models showed a good predictivity with biases lower than 20%.
Both models showed a higher level of stress associated with the outside entries of the panels.
Resulting multivariate models showed a diet-induced decrease of lactate, cholesterols and triglycerides.
Both models showed a good fit to the data for both Aβ and tau dynamic PET scans.
In the speech recognition field, GSS-based dereverberation using clean speech models showed a significant improvement [22].
The calculated σRMSD values of the pseudo models showed a disparity in the prediction of experimental data (Table 4).
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CEO of Professional Science Editing for Scientists @ prosciediting.com