User Modelling for Modular Adaptive Hypermedia

Abstract. More and more users work simultaneously with multiple applications, to perform various tasks. This situation puts high demands on the user adaptive systems (UAS), which traditionally support users ’ work in a single isolated domain, and which now shift towards personalization in multi-task and crossapplication contexts. In their attempt to meet the increasing demands, UAS grow in complexity, but they do little about their compatibility and interoperability. We propose a Component-based Architecture for UAS: (CompAS). The key feature of CompAS is modularization of knowledge models and as a consequence allowing existing UAS to share their user models by means of a centralized user model service. As a proof of concept we show how two existing applications, AHA! [1] and UserModelService [2] can achieve interaction based on the extracted user model.

Data underlying the publication "Notch signaling regulates strain-mediated phenotypic switching of vascular smooth muscle cells"

The data and resulting publication show the role of Notch signaling in regulating strain-mediated phenotypic switching of vascular smooth muscle cells. The dataset consists of custom-built scripts for strain analysis, stretch quantification data, immunofluorescence staining and real-time polymerase chain reaction data. </p

Data underlying the publication "Notch signaling regulates strain-mediated phenotypic switching of vascular smooth muscle cells"

The data and resulting publication show the role of Notch signaling in regulating strain-mediated phenotypic switching of vascular smooth muscle cells. The dataset consists of custom-built scripts for strain analysis, stretch quantification data, immunofluorescence staining and real-time polymerase chain reaction data. </p