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Utilizing Embedded Semantics for User-driven Design of Pervasive Environments KU Leuven
The Web does not only offer an almost infinitive number of services and resources but can be also seen as a technology to combine different technological devices, like mobile phones, digital media solutions, intelligent household appliances, tablet PCs, and any other kind of computers, in order to create environments satisfying the need of users. However, due to the large amount of web resources and services as well as the variety and range of ...
Multi-facade and Ubiquitous Web Navigation and Access through Embedded Semantics KU Leuven
Web content contains valuable information on the semantic structure of a site, which can be used to access and navigate the pages through ubiquitous computing environments. Semantic web approaches normally aim at modeling semantic relations and utilizing these models to provide enhanced functionality for humans or machines. In this paper we present an approach which focuses on using embedded semantics in order to achieve enhanced web access and ...
The Effect of Repetition Feedback on Success Rate and Uptake KU Leuven
In light of developing a new automatic feedback generation algorithm for Computer Assisted Language Learning (CALL), we present in this paper our analysis of the currently used algorithm. As part of the e-learning product EDUMATICTM, it has been used extensively for over six years. The purpose of this study is to analyze the efficiency and uptake of the current feedback and determine whether or not there is need for improvement. For this, we ...
Structural Similarities Between the Catalytic Domain of Threonine Deaminase and the Mammalian Serine Racemases KU Leuven
Comparison of a newly found enzyme with its structural homologues results in the prediction of probable regulatory binding sites. Since serine racemases are found to be promising targets for the treatment of disorders related to NMDAR dysfunction, the identification of the structural similarities between serine racemases and their structural homologues might provide structural insights for rational drug design. In this study, we aim to determine ...
Semantic Mash-up Personal and Pervasive Learning Environments (SMupple) KU Leuven
Personal Learning Environments have emerged as a complementary, even challenging, paradigm to Adaptive Learning Systems. We consider the mash-up era as an appropriate approach for a successful realization of digital personal learning environments. However, mash-ups are also accompanied by critical technical and usability challenges. In this paper, we try to identify some of these challenges and present our solution approach which results in ...
Comparative sequence and structural analyses of neuroserpin – the serine protease inhibitor family KU Leuven
Neuroserpin clade of serpins is a family of serine protease inhibitors (>220 residues), and is a selective inhibitor of tissue-type plasminogen activator (tPA). The crystal structure of native human neuroserpin has been reported by Sayaka et al., at 2.1 Å resolution. The native fold consists of a five stranded β-sheet A and a mobile helical reactive center loop. The structure also has an omega loop, which contributes to the inhibition of tPA. ...
A hybrid tabu search algorithm for automatically assigning patients to beds KU Leuven
Summary Objective We describe a patient admission scheduling algorithm that supports the operational decisions in a hospital. It involves efficiently assigning patients to beds in the appropriate departments, taking into account the medical needs of the patients as well as their preferences, while keeping the number of patients in the different departments balanced. Methods Due to the combinatorial complexity of the admission scheduling problem, ...
A guide to web tools to prioritize candidate genes KU Leuven
Finding the most promising genes among large lists of candidate genes has been defined as the gene prioritization problem. It is a recurrent problem in genetics in which genetic conditions are reported to be associated with chromosomal regions. In the last decade, several different computational approaches have been developed to tackle this challenging task. In this study, we review 19 computational solutions for human gene prioritization that ...
Merging model driven and ontology driven system development approaches: Pervasive computing perspective KU Leuven
In this paper we present a view point on "intelligent" application development for pervasive computing environments. We first point out that today's traditional "intelligent" computing is built on strong and hard-coded logical assumptions and computational procedures which are pre-defined by developers, that is, what we call as simulated intelligence within the course of this paper. Such assumptions and procedures are based on enumerations of ...