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The PCR products were compared against a 100 bp DNA marker (Fermentas, Germany).
The experimental observations were compared against a 2D axisymmetric Eulerian Lagrangian model using ANSYS-Fluent v14.5.
BFV changes with the arithmetic condition were compared against a resting and a counting condition.
Results were compared against a regionalized parameter model and a model using MODIS ETobs directly as input.
Finally, the derived results were compared against a supervised method based on classification with the Support Vector Machine.
The experimental results were compared against a Finite Element (FE) study coupled with Cohesive Zone Modelling (CZM).
The model predictions were compared against a reliable set of experimental data available in the literature, with very good agreement.
Indices obtained were compared against a threshold value of 0.3, which corresponds to a standard deviation of 30% (Gradel et al. 2017).
To evaluate the solution and its benefits, test instances were generated and the results using the proposed algorithm were compared against a simple first-fit method.
The results of this evaluation were compared against a traditional ECA-based system and we found that ESR outperformed existing systems with respect to subscription efficiency.
These two modes of learning were compared against a more traditional computer assisted vocabulary learning system: an on-line flash cards program.
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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