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Neuronal Fe65 is a central adapter for the intracellular protein network of Alzheimer's disease related amyloid precursor protein (APP). It contains a unique tandem array of phosphotyrosine-binding (PTB) domains that recognize NPXY internalization motifs present in the intracellular domains of APP (AICD) and the low-density lipoprotein receptor-related(More)
In order to achieve interoperability among learning repositories, implementers require a common communication framework for querying. This paper proposes a set of methods referred to as Simple Query Interface (SQI) as a universal interoperability layer for educational networks. The methods proposed can be used by a source for configuring and submitting(More)
The paper presents the work of the Elena project. The contribution of this paper is twofold: The first part of the paper elaborates on the notion of learning services. Learning services are differentiated from learning objects and put in the context of web services. A model for learning services is introduced and current limitations of learning object(More)
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Many RDF repositories have already been implemented with various access languages and mechanisms. The aim of the EDUTELLA framework is to allow communication between different RDF repository implementations. Part of EDUTELLA is a Query Exchange Language (QEL) which can be used as lingua franca to retrieve information from RDF repositories. This work shows(More)
Cleavage of the amyloid precursor protein (APP) is a crucial event in Alzheimer disease pathogenesis that creates the amyloid-beta peptide (Abeta) and liberates the carboxy-terminal APP intracellular domain (AICD) into the cytosol. The interaction of the APP C terminus with the adaptor protein Fe65 mediates APP trafficking and signalling, and is thought to(More)
In order to exchange learning resources via educational mediators, resources need to be described with metadata in a coherent manner. Metadata for learning resources has become a widely discussed research topic, but the concept is still too loosely defined to provide guidelines for its use. With this paper we aim to contribute to the design of metadata(More)