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One thing you can conclude from all this data: Humans are sensitive to many things that might affect migration, but not to the Earth's magnetic field.
As a maker of climate control devices, there are only a few critical sources of data: humans, their environment (indoor and out) and energy utilities.
Yet this unstructured data humans put online is exactly the type of stuff that companies want to analyse when they kick off their own big data projects.
"In the age of big data, humans have access to unfathomable amounts of information at any given time.
Unlike the mouse data, humans and non-human primates intoxicated with MPTP have sustained microglial activation [68], [69].
Based on these data, humans appear to have a long half-life of serum elimination of PFOS, PFHS, and PFOA.
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Overall, we have to remember what lies behind all this data: human beings.
When I stumbled across the section profiling the various torchbearers on the London2012 site (in search of route information and other Olympics data), I saw something that's essential in telling stories with data: human beings.
Along with using computer algorithms to cobble together the data, human testers are needed to smooth things out.
Data: Human source images.
Yet in the face of these near-infinite data, human attention remains relatively short.
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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