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In this paper, we provide some examples and report on a thorough evaluation to show the relevance of this new approach.
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It can gather temperature data, for example, and report on changes it finds as it travels.
We also demonstrate the use of the BALAD-2p by example and report the results by graphical means.
We discuss two representative example applications and report on the results of performance experiments that especially consider the high volatility of resources prevailing in a Desktop Grid.
We describe the architecture of our platform and how it works, including its intelligent support, show example applications, and report the results of first user studies.
Our team began going through and organizing all of the feedback, recommendations, case examples, and bug reports.
The codes are studied on several numerical examples, and the reported results validate that this method is capable of dealing with these equations.
For example, disclosure and reporting techniques can be appropriate or they might do more harm than good.
Cut resources for teachers, for example, and teachers report fewer of their suspicions.
We also show an example of timeseries and report the amplitude frequency behavior, where (lambda=p-p_{c}).
Furthermore, we compare the performances of these methods by numerical examples and designed experiments and report the results.
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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