Learning analytics (Siemens & Long [2011]), a discipline still in its formative stages, appears to be relished by some as a way of creating such an application but by others as a means of decentralizing control, making information more usable by teachers and students.
Despite extensive ethical and technical analysis, concerns remain as the effort to make health information accessible to and usable by a wide range of health professionals, researchers and planners often conflicts with notions of patient confidentiality and autonomy [ 6– 8].
The main purpose of WQI is to turn complex water quality data into information that is understandable and usable by the public.
Technical coefficient generators (TCGs) (Hengsdijk and van Ittersum 2003) are algorithms to process data and information into technical coefficients directly usable by a mathematical programming model (e.g., FSSIM-MP) and cropping systems models (e.g., APES).
Only a small portion of globally generated scientific information is actually used or usable by scientists, as new healthcare-related studies are published every 30 seconds.
In 1998, Congress amended Section 508 of the Rehabilitation Act of 1973 to require federal government agencies and departments to ensure that their Web sites (as well as other electronic and information technology) are accessible and usable by federal employees with disabilities.
We describe a novel algorithm to: select data on environmental exposure and hazard potential relevant to PCP ingredients after use, evaluate and interpret those data, and translate the information to a single numeric score usable by non-specialists to incorporate environmental protection goals into PCP sustainability decision making.
The main purpose of WQI is to change the complex water quality data into understandable and usable information by which common people can know the status of water sources in a particular region (Akoteyon et al. 2011; Vasanthavigar et al. 2010; Balan et al. 2012).
It is, therefore, not enough for epidemiologists to publish papers in scientific journals; they must also make the effort to make policy content and information of public interest both accessible and usable by the general public.
Among the different usable information provide by electroencephalogram (EEG), the aim of this study was to evaluate the predictive value of EEG reactivity regarding neurological outcome at discharge.
