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Aerial photography, for example, can reveal settlement patterns long since buried.
Attribution tools, for example, can reveal which channels most strongly influence consumers' decisions and lead to a purchase.
The discourse analysis of the oral proceedings' narrative, for example, can reveal how legal teams perceive others through representational strategies.
Functional magnetic resonance imaging (fMRI) scans, for example, can reveal changes in brain activity, as evidenced by changes in blood flow, but it is difficult to use them to study infants because the subjects must remain absolutely still.
The data collected from a phone's GPS chip or accelerometer, for example, can reveal trends that are relevant to modeling the spread of disease, determining personal health-care needs, improving time management, and even updating social-networks.
Functional magnetic resonance imaging, for example, can reveal activity that is missed by an EEG.
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By the analysis of the example this model can reveal chaotic stochastic behaviour.
By analyzing Facebook Likes of millions of users, for example, we can reveal subtle patterns that would be difficult to identify using traditional surveys.
For example, it can reveal what software modules are most likely to contain bugs, what amount of effort is likely to be required to develop new software projects, what commits are most likely to induce crashes, how the productivity of a company changes over time, how to improve productivity, etc.
For example, METAFoR can reveal the relative contributions of anaplerosis and the TCA cycle to the formation of the oxaloacetate pool.
At an off-site meeting, for example, the CEO can reveal his priorities and concerns by setting the agenda while giving his team a chance to participate and buy in.
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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