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The natural sensitizers are extracted using a cold extraction and the Soxhlet extraction methods.
Moreover, the interesting and useful association rules are extracted using a multi-criteria analysis approach.
The features for the Perceptron are extracted using a FeatureFactory.
The texture signatures are extracted using Segmentation-based Texture Analysis.
The classical governing equations are extracted using Hamilton's principle.
The parameters are extracted using fitting of static and dynamic measurements with simple theoretical expressions.
Given the dynamical systems, features are extracted using the Hamiltonian streamlines.
The features are extracted using a static analyzer that examines bytecode.
Secondly, the salient features of these segments are extracted using boundary energy method.
In addition, four features are extracted using the acquired signals eigenvalues.
The governing equations of motion are extracted using Hamilton's principle and sinusoidal shear deformation theory.
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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