Sentence examples for assessment of technology from inspiring English sources
For example, PATH used the Maternal and Neonatal Directed Assessment of Technology (MANDATE) model developed by Research Triangle Institute to assess the potential number of lives saved for each technology (for more information, see http://mnhtech.org).org
It was a pessimistic assessment of technology users' chances to have a computing and communications they can genuinely trust in an age when nation-states have taken over as the most dangerous – even malicious – hackers on Earth.
Mr. Kumar is not nearly as dour in his assessment of technology's future as Mr. Hickey, but he, too, says he is inclined to believe that technology sector valuations are generally too high.
Integrated approaches to the assessment of technology and policy choices are found in several assessment traditions.
This perspective implies, basically, a positive ethical assessment of technology: technology increases the possibilities and capabilities of humans, which seems in general desirable.
The early assessment of technology acceptance and user resistance is crucial to anticipate potential conflicts and to improve future implementation success.
"A kind of quantomania prevails in the assessment of technologies," Dr. Hoos wrote in 1979 in the journal Technological Forecasting and Social Change.
In the context of assessment of technologies this means that in many cases several advisory domains should be included in order to appropriately shed light on the issue.
Moreover, it was the first time that LCA and LCC were used within an IWRM project as part of a sustainability assessment of technologies.
In the case of the fresh water-related analysis, the sustainability assessment of technologies was combined with a life-cycle approach (see "Life Cycle Analysis LCAandnd LCC").
The Data Science and Engineering Journal (DSE) has been created to provide a comprehensive international forum for original results in research, design, development, and assessment of technologies that timely address relevant challenges in data management and data-intensive applications.
