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We support our argument with a case study from the European auto industry.
To support our argument, we analyzed TCP traces from three different domains (Internet backbone, wireless, enterprise).
To support our argument, we simulate the competition among four stationary battery technologies across energy system applications in an investment simulation model.
Examples of the most obvious inconsistencies are therefore used to support our argument.
To support our argument, in Figure 5 we assumed that N = K = 16.
We present an empirical investigation with translated sentences and related news articles to support our argument.
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We have disclosed all the codes and reference pictures to support our arguments made in the lab report.
The results support our arguments that the best measurement of outcomes of technological innovations is through the efficiency with which they are developed.
In order to support our arguments, we develop a methodology for comparing different traffic controls for given utility functions and different workloads, both deterministic and stochastic.
We support our arguments with a set of experiments on evolutionary neural controllers for physical robots and compare them to conventional encoding.
Yet, we support our arguments for the use of hermeneutics in exploring the radical innovation of meaning with examples and cases from our preliminary analyses, mostly in the fields of robotics and healthcare.
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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