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This could help to characterise the perpetrator.
This could help to undermine the legitimacy of the insurgents.
This could help to upscale and generalize the applicability of KSOM for varied hydrometeorological data types.
As well as addressing inequality, this could help to boost consumption.
This could help to fill in the huge white spaces of unused spectrum.
This could help to build a consensus for otherwise controversial projects and developments.
In theory, this could help to revitalise an in-bred geeky culture that has suffered from complacency and self-importance.
This could help to shift us out of a period characterised by charity and solving problems in "other" countries.
This could help to explain why physicists have failed to observe dark matter directly, in experiments stretching over decades.
As each employee and student represents a household at the municipal level, this could help to strengthen e-waste management at all level.
Interpreted in the regional context, this could help to classify the density of risk and to accordingly target resources and measures for elimination.
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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