Sentence examples for the science of measuring from inspiring English sources

Exact(17)

Hypsometry, the science of measuring the elevation and depth of features on Earth's surface with respect to sea level.

He wrote articles for horological journals and later received a honorary doctorate in horology, the science of measuring time, from the university.

The science of measuring environmental harm is complicated, and I think it is accurate to assume there is a multiplier effect, as some scientists have more recently noted.

Sensitometry is the science of measuring this sensitivity, which is determined by giving the material a series of graduated exposures in an appropriate instrument (the sensitometer).

The new device could open up new realms of mass spectroscopy, the science of measuring molecules' masses to help identify them.

The research was carried out by Mindlab International, an independent research company that specialises in neurometrics - the science of measuring patterns of brain activity through EEG, eye tracking and skin conductivity, which tracks emotions.

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Similar(43)

But the actual science of measuring cumulative impacts is still nascent, and the E.P.A. wouldn't bite.

While the Safer Dx framework could provide a useful impetus for using both retrospective and prospective methods to improve the 'basic science' of measuring diagnostic safety, 16 several challenges remain.

Being near taking such a step is another stage in the evolution of nanotechnology, the science of materials measured at billionths of a meter or one-500th of a human hair.

Biomonitoring the science of measuring environmental chemicals in human blood, urine, and other tissues made another modest advance with the 10 December 2009 release of the Fourth National Report on Human Exposure to Environmental Chemicals by the Centers for Disease Control and Prevention CDCCenters for Disease Control and Prevention CDC

In psychometrics, the science of constructing measures of latent variables, it is generally accepted that measures of latent variables are fallible and include random error components that must be taken into consideration when such inferences are being made.

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