The Millennium Development Goals (MDG) progress targets have not been met. Nevertheless, the United Nations (UN) has not yet undertaken in-depth review in order to discover the reasons behind this lack of progress in achieving the MDG. From a political…

This article reviews the most significant milestones
in CAD methodologies for intelligent EM-based modeling and
design optimization using artificial neural networks and space
mapping. We consider knowledge-based and automatic neural
network model generation based on advanced data sampling
algorithms. Computationally…

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…

Currently, mathematics instruction in U.S. classrooms is far from achieving equity for African American students. This qualitative study reports the results of eight successful elementary mathematics teachers’ knowledge of equity pedagogy, specifically their knowledge of culturally relevant pedagogy, cultural competence,…

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…

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…

Objective - The objective of this article is to demonstrate the efficacy of collaborative Evidence Based Information Practice (EBIP).

Methods - Application of theoretical frameworks of shared leadership, appreciative inquiry, and knowledge creation to propose an organisational effectiveness…

Objective – The objective of this study was to identify factors for effective collaboration between school library media specialists and special education personnel in support of student learning.

Methods – A review method was used to examine illustrative…