Search
Now showing items 21-30 of 61
A linked data visualiser for finite element biosimulations
(World Scientific Publishing, 2016)
Biosimulation models are used to understand the multiple or different causative factors that cause impairment in human organs. Finite Element Method (FEM) provide a mathematical framework to simulate dynamic biological ...
SAFE: SPARQL federation over RDF data cubes with access control
(BioMed Central, 2017-02-01)
Several query federation engines have been proposed for accessing public Linked Open Data sources. However, in many domains, resources are sensitive and access to these resources is tightly controlled by stakeholders; ...
Advancing clinical research by semantically interconnecting aggregated medical data information in a secure context
(Springer Verlag, 2017-03-22)
Electronic Health Records (EHRs) contain an increasing wealth of medical information. When combined with molecular level data, they enhance the understanding of the underlying biological mechanisms of diseases, enabling ...
Soft cardinality constraints on XML data: How exceptions prove the business rule
(Springer Verlag, 2013)
We introduce soft cardinality constraints which need to be satisfied on average only, and thus permit violations in a controlled manner. Starting from a highly expressive but intractable class, we establish a fragment that ...
Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models
(Oxford University Press (OUP), 2017-08-18)
Timely identification of adverse drug reactions (ADRs) is highly important in the domains of public health and pharmacology. Early discovery of potential ADRs can limit their effect on patient lives and also make drug ...
Improved edge detection algorithm for brain tumor segmentation
(Elsevier, 2015-08-21)
Image segmentation is used to separate objects from the background, and thus it has proved to be a powerful tool in bio-medical imaging. In this paper, an Improved Edge Detection algorithm for brain-tumor segmentation is ...
A case study of collecting dynamic social data: The pro-ana twitter community
(Australian National University, College of Engineering and Computer Science, Department of Computer Science, 2015)
The study of social processes in on-line social media content is a relatively new and rapidly growing endeavour. Many social media platforms provide a public API (Application Programming Interface) which can be used for ...
Learning from Mistakes Results in Increase of Corporate Value
(Kassel University Press GmbH, 2013)
In the paper we approach the issue of learningfrom our mistakes from different schools of thought andwith the use of different epistemological metaphors such asthe intellectual capital. We pose emphasis to the relevance ...
Integrating findings of traditional medicine with modern pharmaceutical research: the potential role of linked open data
(BioMed Central, 2010-12)
One of the biggest obstacles to progress in modern pharmaceutical research is the difficulty of integrating all available research findings into effective therapies for humans. Studies of traditionally used pharmacologically ...