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Students might compare this data with the data they collect as a class to see how their community's flu profile compares to that of the nation as a whole.
The researchers will then compare this data with penguin fossils.
They can compare this data to the patients with TBIs who don't go on to develop epilepsy to see the difference in biomarkers.
And it gets really interesting when authorities can compare this data with historical data and gain insights on where they need to add or remove lines, or buses.
From a purely academic perspective, it would be fun to compare this data with similar data from Apple and Microsoft regarding OSX and Windows development, respectively.
We can compare this data with nearby data participants that have have been collected by other participants in a similar time frame.
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They compared this data with atmospheric CO2 measurements and satellite observations.
We have compared this data with the amount of medals won by Team GB at London 2012.
A separate microprocessor compares this data with compass headings; by figuring the distance traveled, the system can approximate the path the car has taken.
Software then compares this data to data from a reference population -- people of similar weight, age and height -- stored in the processing unit's memory and calculates body composition (usually displayed as the percentage of tissue that is fat).
Apparatus on a train compares this data with the train's own location and speed, projects a safe stopping distance ahead, and continuously calculates maximum speed for maintenance of that headway.
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Justyna Jupowicz-Kozak
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