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This example highlights the increased use of harsh rhetoric against the poor, especially poor women on welfare, in Washington recently.
This example highlights the immense efforts of the people who put it on, despite the circumstances and sorry state of cycling in Britain at the time.
This example highlights the need to have access to independent and transparent mechanisms of appeal when students and staff find themselves being accused of radicalisation.
This example highlights how elements of the nexus, whether food, water or energy security, take on different meanings at different levels of analysis, from the global to the local.
This example highlights the difficulty of extrapolating from a single month or quarter of data, which can easily be skewed by one-off events such as a national holiday or sudden desperate measures by retailers to offload stock.
This example highlights the overestimation of the asynchronous interference term.
This example highlights the aesthetics structuring Porta's physiognomonics: beautiful bodies are also morally good.
This example highlights the importance of optimizing gating parameters and is discussed more below.
This example highlights the potential significance of the EEZ carbon sink for national carbon accounts.
Nonetheless, this example highlights the main features of the BETEF_CF code applied to a real case.
This example highlights both the similarities and differences between D-MIAT and other discretization algorithms.
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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