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This simple result suggests a means for confronting model predictions against field data.
Our results suggest that it is of crucial importance to keep confronting model predictions with detailed data sets.
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The subtitle is Confronting Models With Data.
As mentioned earlier, we are not confronting models with observational data.
A PhD Candidate at the University of Notre Dame where I work on inferring and forecasting pathogen transmission dynamics by confronting models with epidemiological time series data.
We consider models that marry radiative cooling with entropy injection, and confront model predictions for the global and structural properties of massive clusters with the latest X-ray data.
Flutie urged his fellow-agents to confront models they suspected of drug-use.
As authors of a nice book subtitled their book, they called it Confronting Models With Data.
It follows that a weakness of the model framework, in its current form, is the difficulty in confronting the model with quantitative data other than in regards to its qualitative predictions.
The performance of the proposed controller in time domain and its robustness are verified according to comparison with other controllers like GBMO based fuzzy controller and PI controller that used for load frequency control system in confronting with model parameters variations.
In doing so, they reported that they were less likely to be viewed as confronting the model of illness held by the patient, and more likely to be viewed as encouraging patients to be more active in addressing their own symptoms [ 31, 34].
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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