Analysing spatio-temporal change by use of national historical Geographical Information Systems: Population change during and after the Great Irish Famine

Several countries have made large investments in building historical Geographical Information Systems (GIS) databases containing census and other quantitative statistics over long periods of time. Making good use of these databases requires approaches that explore spatial and temporal change.

Co-design of Distributed Systems Using Skeleton and Autonomic Management Abstractions

We discuss how common problems arising with multi/many core distributed architectures can he effectively handled through co-design of parallel/distributed programming abstractions and of autonomic management of non-functional concerns. In particular, we demonstrate how restricted patterns (or skeletons) may be efficiently managed by rule-based autonomic managers. We discuss the basic principles underlying pattern+manager co-design, current implementations inspired by this approach and some result achieved with proof-or-concept, prototype.

School Refusal, Parental Control and Wider Systems: Lessons from the management of two cases. Journal of Psychological Medicine, .

Two cases of school refusal are presented. From the experience of these two cases, and support from the literature, early assessment of parental control in cases of school refusal is advocated. When parental control, even with professional therapeutic support, is not sufficient to effect an early return to school, intervention in the wider systems organised around the problem is recommended.

Information Disclosure, Market Discipline and the Management of Bank Capital: Evidence from the Chinese Financial Sector

Is there evidence that market forces effectively discipline risk management behaviour within Chinese financial institutions? This study analyses information from a comprehensive sample of Chinese banks over the 1998-2008 period. Market discipline is captured through the impact of four sets of factors namely, market concentration, interbank deposits, information disclosure, and ownership structure. We find some evidence of a market disciplining effect in that: (i) higher (lower) levels of market concentration lead banks to operate with a lower (higher) capital buffer; (ii) joint-equity banks that disclose more information to the public maintain larger capital ratios; (iii) full state ownership reduces the sensitivity of changes in a bank's capital buffer to its level of risk;(iv) banks that release more transparent financial information hold more capital against their non-performing loans. © 2010 Springer Science+Business Media, LLC.

Towards identification of Wiener systems with the least amount of a priori information on the nonlinearity

In this paper, we investigate what constitutes the least amount of a priori information on the nonlinearity so that the FIR linear part is identifiable in the non-Gaussian input case. Three types of a priori information are considered including quadrant information, point information and locally monotonous information. In all three cases, identifiability has been established and corresponding identification algorithms are developed with their convergence proofs.

A computational intelligent approach to multi-factor analysis of violent crime information systems

Various scientific studies have explored the causes of violent behaviour from different perspectives, with psychological tests, in particular, applied to the analysis of crime factors. The relationship between bi-factors has also been extensively studied including the link between age and crime. In reality, many factors interact to contribute to criminal behaviour and as such there is a need to have a greater level of insight into its complex nature. In this article we analyse violent crime information systems containing data on psychological, environmental and genetic factors. Our approach combines elements of rough set theory with fuzzy logic and particle swarm optimisation to yield an algorithm and methodology that can effectively extract multi-knowledge from information systems. The experimental results show that our approach outperforms alternative genetic algorithm and dynamic reduct-based techniques for reduct identification and has the added advantage of identifying multiple reducts and hence multi-knowledge (rules). Identified rules are consistent with classical statistical analysis of violent crime data and also reveal new insights into the interaction between several factors. As such, the results are helpful in improving our understanding of the factors contributing to violent crime and in highlighting the existence of hidden and intangible relationships between crime factors.