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The Agricultural Model Intercomparison and Improvement Project (AgMIP) seeks to improve the capability of ecophysiological and economic models to describe the potential impacts of climate change on agricultural systems. AgMIP protocols emphasize the use of multiple models; consequently, data harmonization is essential. This interoperability was achieved by(More)
In recent years, innovative applications exploiting Linked Open Data (LOD) and the Semantic Web have opened up, combined and cross referenced high volumes of high-quality data and created tremendous new opportunities for data users as well as data providers. However, in order to serve the broadest community of users, technologies need to be developed that(More)
Yet, we face the grim reality that a model is a focused representation of the world, and it is always a result of several compromises in terms of details and structure, leading to trade-offs in terms of complexity, flexibility and performance. This trade-off becomes an essential design property. We often wish our models to be as simple as possible,(More)
Recent developments like the movements of open access and open data and the unprecedented growth of data, which has come forward as Big Data, have shifted focus to methods to effectively handle such data for use in agro-environmental research. Big Data technologies, together with the increased use of cloud based and high performance computing, create new(More)
The World Wide Web and related technologies are playing an increasing role in the field of Integrated Environmental Modelling (IEM). Model integration software frameworks are more and more becoming web-enabled. The technologies and standards of the Web are used to access and run simulation models remotely (known as the Web of models) and are considered for(More)
The use of extrinsic PEEP (PEEPe) in patients with auto-PEEP (AP) can reduce the respiratory work during weaning from mechanical ventilation. However, the application of PEEPe can produce a certain level of hyperinflation, an undesirable effect which can limit the efficacy of the reduction of respiratory work. The objective of the present study has been to(More)
1 Business Economics, Wageningen University, the Netherlands ({irina.bezlepkina,sander.jansen,rob.knapen}@wur.nl) 2 Lunds University Centre for Sustainability Science, Sweden (johanna.alkan_olsson@lucsus.lu.se) 3 Dalle Molle Institute for Artificial Intelligence, Lugano, Switzerland ({ioannis,hongtao}@idsia.ch 4 AntOptima, Lugano, Switzerland(More)
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