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Studying how vaping is framed on various knowledge dissemination platforms (e.g., Quora, Reddit, Wikipedia) central to understanding the process of around vaping. Such can help us craft tools specific each platform, dispel misperceptions and reinforce evidence-based information. We analyze 1,888 articles 1,119,453 posts study across multiple (Wikipedia, Medium, Stack Exchange, wikiHow). use NLP...

This paper describes the challenges faced by frontier technology education, typical among large integrated EU projects. These include an evolving nature, the scarcity of experts and established material, and the need for relevant material. Classical approaches to learning seem to not adequately address the needs of frontier technology alone. Following this observation we develop a training mode...

This paper focuses on a participatory knowledge elicitation process (KnETs) to explore decision-making criteria regarding ‘soft’ techniques for flood risk management in the Ukrainian Tisza river basin. Communities in this region are faced with frequent floods and limited governmental budgets to cope with flood impacts. To identify the potential for soft flood protection measures as opposed to t...

Nanotechnology comprises one of the fastestgrowing research and development areas in the world (National Science and Technology Council 2006). Like many areas of scientific and technological exploration, nanotechnology exists on the borders between disciplines including physics, chemistry, materials science, biology, medicine, ICT and engineering. It has been nearly half a century since Nobel P...

The systematic and effective management of existing knowledge can significantly assist organizations develop quick mechanisms able to respond to various change-driven demands. Knowledge Management (KM) systems have been effectively deployed for more than two decades, incorporating Information Retrieval techniques as well as tacit knowledge utilization. However, traditional KM systems have limit...

Effective and efficient knowledge dissemination and reasoning in distributed, real-time, and embedded (DRE) systems remains a hard problem due to the need for tight time constraints on evaluation of rules and scalability in dissemination of knowledge events. Limitations in satisfying the tight timing properties stem from the fact that most knowledge reasoning engines continue to be developed in...