Whereas traditional explanations of differences in long-run paths of development across the Americas generally point to the significance of differences in national heritage or religion, we highlight the relevance of stark contrasts in the degree of inequality in wealth, human…

This thesis integrates hardware development, data analysis, and mathematical modeling to facilitate our understanding of brain cognition. Exploration of these brain mechanisms requires both structural and functional knowledge to (i) reconstruct the spatial distribution of the activity, (ii) to estimate…

This essay analyses Nancy Cunard's contribution to the struggle for racial justice in England and her work with the black communities in Liverpool and London (whose histories and experiences differ radically from their counterparts in the United States) in the…

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Neural network applications in microwave engineering have been reported since the 1990s. Description of artificial neural
networks and their key issues, namely architectures, paradigms, training methods, data sets formation, learning and
generalization errors, learning speed, etc., in the context of…

The goal of the work reported here is to capture the commonsense knowledge of non-expert human contributors. Achieving this goal will enable more intelligent human-computer interfaces and pave the way for computers to reason about our world. In the domain…

This research paper describes the use of computer mediated conferencing (CMC) to support the teaching of biology to undergraduates. The use of this pedagogical innovation was a first-time experience for both the instructor and his students. The objectives of this…

This thesis examines the evolution of Internet based knowledge networks (e-knowledge networks) in the domain of sustainable development. The objective of this thesis is to use an engineering systems approach to understand knowledge networks, identify the barriers to their sustainability…

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Data quality issues have taken on increasing importance in recent years. In our research, we have discovered that many “data quality” problems are actually “data misinterpretation” problems – that is, problems with data semantics. In this paper, we first illustrate…