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Modern logic provides accounts of both interpretation and derivation which work together to provide abstract frameworks for modelling the sensitivity of human reasoning to task, context and content.
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For the purposes of the probabilistic model, we modelled the sensitivity and specificity on the log odds scale using normal distributions.
Therefore, our findings model the sensitivities seen in migraineurs.
Contextualists differ over how to model the context-sensitivity.
For all scenarios modelled in the sensitivity analysis, nVNS + SoC was more effective and cost saving (Table 6).
From the visual model, the sensitivity can be easily worked out: (13).
In order to verify the validity of the models, the sensitivity analysis is conducted and discussed.
With the well validated ATLAS model, the sensitivity analysis of the system heat loss on the SBO transient is performed.
With this implicit model, the sensitivity of steady states to parameters can be investigated efficiently using continuation methods.
With these variables in the predictive model the sensitivity of the derived rule for predicting failure was 77%, the specificity was 65%, and the overall accuracy was 69%.
Using this model, the sensitivity of key parameters in the model, such as sorbent to liquid feed ratio and ion exchange selectivity and reactor optimization are readily studied.
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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