This article reports on a national study of collaborative relationships between general practitioners and other health care providers in 20 Division of General Practice projects. It argues that health care organisations will need to collaborate with others in the future and that much can be learnt from the literature on collaborative networks in business and community organisations. Successful ...

Division of labour is one of the possible strategies to efficiently exploit the resources of autonomous systems. It is also a phenomenon often observed in animal systems. We show an architecture that implements division of labour in Sensor/Actuator Networks. The way the nodes take their decisions is inspired by ants’ foraging behaviour. The preliminary results show that the architecture and the...

Bioinformatics is increasingly recognised as a crucial field for research and development in the biological sciences, and forms an integral part of genomics, proteomics and modern biotechnology. Worldwide participation is important, and scientists in developing countries can contribute to this field. Regional networks for bioinformatics are highly beneficial for capacity strengthening and coope...

FACULTY OF SCIENCES SCHOOL OF COMPUTING SCIENCES Doctor of Philosophy by Konstantinos Bougioukos In biological systems, gene expression takes place when genes generate gene products and gene expression levels correspond to concentration levels of these products. Gene expression levels within a single cell are determined by a network of regulatory interactions among genes mediated by gene produc...

Bayesian Networks (BNs) have become one of the most powerful means of reconstructing signalling pathways in silico. Excessive computational loads limit the applications of BNs to learn larger sized network structures. Recent bioinformatics research found that signalling pathways are likely hierarchically organised. Genes resident in hierarchical layers constitute biological constraint, which ca...

This paper outlines the motivation for a robust transport control in dynamic and multimodal logistics networks. For the accomplishment of this overall goal our current research effort intends to contribute by the development of a decentral and heterarchical organised control approach. This approach is implemented as a multi-agent system. Thereby, a new mechanism combining indirect and direct in...

Population of simulated agents controlled by dynamical neural networks are trained by artificial evolution to access linguistic instructions and to execute them by indicating, touching or moving specific target objects. During training the agent experiences only a subset of all object/action pairs. During post-evaluation, some of the successful agents proved to be able to access and execute als...

This paper presents an analysis of the socio-spatial structures of innovation, collaboration and knowledge flow among SMEs in the Irish biotech sector. The study applies social network analysis to determine the structure of networks of company directors and inventors in the biotech sector. In addition, the article discusses the implications of the findings for the role and contours of a biotech...

Knowledge Graphs (KG) constitute a flexible representation of complex relationships between entities particularly useful for biomedical data. These KG, however, are very sparse with many missing edges (facts) and the visualisation of the mesh of interactions nontrivial. Here we apply a compositional model to embed nodes and relationships into a vectorised semantic space to perform graph complet...

Presently the concern over the security of mobile phones is driven by network operators wanting to stem the economic impact of losing subsidised terminals from their networks. Due to the vast price difference of products between subsidised and non-subsidised markets mobile terminals represent an attractive target to criminals. The result is that mobile terminals are under constant attack by hac...