Systems of parameters and holonomicity of A-hypergeometric systems

The main result is an elementary proof of holonomicity for A-hypergeometric systems, with no requirements on the behavior of their singularities, originally due to Adolphson [Ado94] after the regular singular case by Gelfand and Gelfand [GG86]. Our method yields a direct de novo proof that A-hypergeometric systems form holonomic families over their parameter spaces, as shown by Matusevich, Miller, and Walther [MMW05]

The home as a technological learning environment: children's early encounters with digital technologies

Today's children are growing up in homes with an ever-growing array of technologies supporting families as they work, play, communicate and learn. How have recent rapid changes to the home as a technological environment influenced what and how preschool children learn? This paper, based on a series of studies of young children's experiences with digital technology at home, identifies key factors - including the structure and layout of the home, family practices, family values and family interactions - which shape the ways in which children: a) learn to use technologies; b) learn about the world via the medium of technologies; c) develop learning dispositions; and d) learn about the role of different technologies in family and community contexts

The role of cities in cohesion policy 2014-2020

Urban regions are an important factor in regional development. During the 2007-2013 programming period, the main input provided by cities and urban areas was at project level. For the 2014-2020 programming period, Cohesion policy enhances the role of urban areas. Nevertheless, in practice the role of cities still seems similar in scale. As the programming phase is almost completed, there is now limited scope for further influence on the design of the new programmes. The next opportunity to involve cities will be as part of partnerships during the programming perio

Developing Integrated Waste Management Systems: Information Needs and the Role of Locally Based Data

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