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Using the best model we then quantified frequency-specific causal influences mediating observed spectral responses.
Following this model, we then propose a simulatable certificateless two-party AKA protocol.
To construct user-specific models from the base model, we then employed hierarchical Bayesian domain adaptation,70 which put a Gaussian prior on the distribution of model coefficients.
Based on this model, we then design a new transmission scheme, named the OFDM-based TDCS for control message transmissions.
To validate the model, we then compare the FE solution with experimental results by X-ray diffraction (XRD).
Using a thermal model, we then computed surface and sub-surface temperatures of these bodies during their dynamical history.
Having developed the general model, we then discuss the models scalability in terms of adding new protocols, categories, requirements, and performance criteria.
To further demonstrate the robust and adaptability of our model, we then transferred it to another data set and performed the experiment.
Using this model, we then discuss some of the major differences between previous proposals and show why some can be checked statically while others require run-time checks.
Based on this model, we then propose a method for Web service emergence by designing a bio-entity as an autonomous agent to represent Web service.
Using the cross-sectional averaged velocities from the 2D model, we then developed a simpler 1D representation of how dispersal distributions respond to flow variability.
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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