This paper presents a knowledge-based approach to
reducing impediments to collaboration in a
distributed environment. A major impediment to
such collaboration is the issue of communications -
clearly and efficiently expressing the desires of every
stakeholder in the process, as…

Knowledge acquisition for systems based on knowledge can be called knowledge engineering, according to Feigenbaum (1980) who used the term to describe the reduction of a wide context of knowledge for a set of facts and rules. The term Knowledge…

This is an electronic version of an article published in Mental Health and Substance Use, 1(2), pp.104-117. Mental Health and Substance Use is available online at: http://www.informaworld.com/smpp/title~db=all~content=t777186830., Background: Mutuality is a feature of many ‘self-help groups’ for people with mental…

Our research project intends to build knowledge about HPC problems to be able to help local researchers. In order to advise users in choosing parallel machines to run their applications, we want to establish a general methodology, requiring as shallow…

his dissertation analyzes how local knowledge improves environmental decisions. The premise is that controlling pollution and addressing public health disparities are not problems that professionals alone can solve. Concerned lay publics, especially low-income populations and people of color that experience…

Artificial neural networks (ANN) are very efficient in solving various kinds of problems But Lack of explanation capability (Black box nature of Neural Networks) is one of the most important reasons why artificial neural networks do not get necessary interest…

Cardiopulmonary resuscitation should be known by all health workers. Advanced life support should be protocol driven and all first responders should be well trained in carrying this out. My aim in doing this audit was to assess the training and…

Data mining is one of the most important analysis techniques to automatically extract knowledge from large amount of data. Nowadays, data mining is based on low-level specifications of the employed techniques typically bounded to a specific analysis platform. Therefore, data…

This paper uses dynamic general equilibrium and computational methods, inspired by the multi-sector growth model structure in Stephen Turnovsky’s previous and more recent work, to develop a theory that unifies two of the traditional explanations of structural change: sector-biased technical…

Over the past several decades, a new paradigm of organization has been reshaping higher education in the United States. Most colleges and universities now operate like knowledge factories. Notions of faculty governance have been eroded by the decision-making power of…