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For example, animal population estimates may ignore spatial structure that may influence population viability.
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As meteorological factors vary across different stations in the area, even within the same timeframe, and, e.g., temperature between coastal and inland areas, and also vary across time, this approach may ignore the spatial and temporal differences of climate and may adversely influence inferences made about the association between climate and suicide.
As we ignore spatial gradients, we use an averaged proton production term across the tumour.
Consistently, common normalization practices correct for print-tip effects ([ 4]) or ignore spatial biases altogether.
Some renderers may ignore this option.
Ministers may ignore its recommendations.
But many may ignore the disclosures.
For example, a study may ignore intermediary stages of disease.
You may ignore a story on Twitter.
It may ignore these demands at its own peril.
Firstly, we may ignore the noise.
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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