Riverine input of terrestrial dissolved organic matter (DOM) is an important component of the marine carbon cycle and drives net carbon dioxide production in coastal zones. DOM exports to the Arctic Ocean are likely to increase due to melting of permafrost and the Greenland Ice Sheet, but the quantity and quality of DOM exports from deglaciated watersheds in Greenland, as well as expected changes with future melting, are unknown. We compare DOM quantity and quality in Greenland over the melt seasons of 2017-2018 between two rivers directly draining the Greenland Ice Sheet (meltwater rivers) and four streams draining deglaciated catchments that are disconnected from the ice (nonglacial streams). We couple these data with discharge records to compare dissolved organic carbon (DOC) exports. DOM sources and quality differ significantly between watershed types: fluorescence characteristics and organic molar C:N ratios suggest that DOM from deglaciated watersheds is derived from terrestrial vegetation and soil organic matter, while that in glacial watersheds contains greater proportions of algal and/or freshly produced biomass and may be more reactive. DOC specific yield is similar for nonglacial streams (0.1-1.2 Mg/km 2 /year) compared to a glacial meltwater river (0.2-1.1 Mg/km 2 /year), despite orders of magnitude differences in instantaneous discharge. Upscaling based on land cover leads to an estimate of total DOC contributions from Greenland between 0.2 and 0.5 Tg/year, much of which is derived from deglaciated watersheds. These results suggest that future warming and ice retreat may increase DOC fluxes from Greenland with consequences for the Arctic carbon cycle.

The introduction of user and device models to customize applications has been the subject of research for decades. This paper presents a modeling framework that supports dynamic adaptation of the UI of web 2.0 applications. This work builds upon previous efforts of the authors [22] leveraged with the use of the semantic framework for Composite Capability/Preference Profiles (CC/PP), which allows the matching of device capabilities and user preferences arising because of functional restrictions. The combination of these models with those of the corresponding web applications, enables an adaptive transformation process that facilitates access to users with special needs derived of their functional restrictions or because of context-related handicapping situations. We argue that this approach will enable a user-centric access to the web, including mobile and ubiquitous delivery of services and applications

This paper presents an architecture, system components, applications and interfaces of a Web of Things framework for supporting home hospitalization of users with chronic diseases. Home hospitalization intends to provide health care at same level and quality at the home of the patient same as it is provided at a hospital. After an introductory section, the document presents a global overview of the design philosophy, together with the main actors involved. Then the different layers of the system and their components are depicted. Finally, a walkthrough on the different technologies that will be used for the implementation of an instance of the described architecture is being provided. This paper builds upon known requirements for home hospitalization and serves as basis for the implementation of instances of such system.

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The accessibility of modern Web 2.0 applications for people with disabilities continues to be a problem [1,2,3]. Recent research has shown that even the Web Content Accessibility Guidelines 2.0 only cover half of the accessibility problems that users encounter when interacting with those kind of web applications [4].Those guidelines do not consider the fact that people with disabilities use special interaction patterns when interacting with web applications [5]. Analysing these interaction patterns and integrating them into the development process of web applications by providing tool support seems promising to help improving the accessibility of those web applications and also to reduce the time and costs for user trials [6,7].The purpose of this thesis is to simulate interaction patterns of people with disabilities and to analyse how those interaction patterns have effects on the time and efficiency to complete given tasks in web applications. It will also analyse how effective this simulation will be in helping to design web applications, both accessible and usable.To achieve this, a model based simulation framework will be designed that take into account different models involved in the interaction of users with web applications. A software tool will be developed that implements these models and the simulation.