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We compared results from studies of direct testing with results from studies of indirect testing by adding a covariate for the type of testing to the model.
We carried out extensive sensitivity testing by adding covariates to the final model, but the ORs for primary fuel types changed relatively little whichever the additional covariates.
Improving the face-validity of postgraduate progress testing, by adding the possibility to search the internet for a limited amount of time, positively influences test performance and face-validity.
Improving the authenticity of postgraduate knowledge progress testing, by adding the possibility to search the internet for a limited amount of time, positively influences test performance and face-validity.
We performed 2-step testing by adding MHT results to the susceptibility results for the isolates meeting the definition with the lowest number of sFNs to determine if the results of the MHT affected the the percentage of isolates classified as FP and sFN.
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We modeled the effects of expanding the list of conditions tested by adding more AD conditions.
This possible explanation could be tested by adding additional data to the analysis.
Additionally performance of MLPNN and RBFNN were tested by adding random noise to the same synthetic test data.
Besides, the adaptability of noise is also tested by adding white noises with different strengths, and the result is promising.
Additionally, the effects of various calibrated ion signal intensities are tested by adding cesium acetate (CsOAc) to the base fuel.
You increase the difficulty of this test by adding resistance to the patient's movements or move your finger to different locations.
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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