Mixing the grant cocktail:towards an understanding of the outcomes of financial support to small firms

One of the key policy objectives of government at national and regional level, is to overcome the constraints preventing local industry achieving greater competitiveness in the international market-place. This paper examines the impact of grant assistance to Northern Ireland small firms delivered over the period 1994 ^ 97 by the former Local Enterprise Development Unit through its Growth Business Support Programme (GBSP). Previous work by the authors showed that there was some tentative evidence to suggest a link between employment growth and grant aid provided to very small firms (fewer than 10 employees) assisted under the GBSP. The central objective of the empirical work reported in this paper is to extend the previous analysis by understanding the extent to which the value of financial assistance influences growth (employment, turnover, and productivity measures) and if differential impacts arise depending on the nature and timing (lag structures) of the grant assistance.

A qualitative investigation into leader behavioural flexibility

Purpose – The current research aims to determine to what extent Australian managers are behaviourally flexible and to identify what factors are associated with the development of leader behavioural flexibility (LBF) and its contribution to positive organisational outcomes. Design/methodology/approach – Because of the exploratory nature of the questions to be addressed, a qualitative approach to data collection was selected. In particular, the grounded theory methodology was utilised due to its ability to aid with the theory building process. Semi-structured interviews based on the critical incident interview technique were used as the data source. Findings – The findings illustrate that the Australian managers who participated in this study exhibited significant degrees of LBF. The results also suggest that education level and group size may be antecedents to LBF. In addition, it appears that leader-member exchange may mediate the relationship between LBF and positive organisational outcomes, while social intelligence may moderate this relationship. Research limitations/implications – The current research makes several contributions in terms of theoretical development and reveals a richer insight into the underlying processes associated with the relationship between LBF and positive organisational outcomes. Practical implications – As the current research was conducted in the field with 20 practising organisational managers, the findings also highlight some important practical applications regarding LBF. Originality/value – Although previous studies have been able to establish a relationship between LBF and positive organisational outcomes, they have explained very little about the processes associated with this relationship. The present study attempted to uncover some of these processes.

Towards development of a dermal rudiment for enhanced wound healing response

Enhancement of collagen's physical characteristics has been traditionally approached using various physico-chemical methods frequently compromising cell viability. Microbial transglutaminase (mTGase), a transamidating enzyme obtained from Streptomyces mobaraensis, was used in the cross-linking of collagen-based scaffolds. The introduction of these covalent bonds has previously indicated increased proteolytic and mechanical stability and the promotion of cell colonisation. The hypothesis behind this research is that an enzymatically stabilised collagen scaffold will provide a dermal precursor with enhanced wound healing properties. Freeze-dried scaffolds, with and without the loading of a site-directed mammalian transglutaminase inhibitor to modulate matrix deposition, were applied to full thickness wounds surgically performed on rats’ dorsum and explanted at three different time points (3, 7 and 21 days). Wound healing parameters such as wound closure, epithelialisation, angiogenesis, inflammatory and fibroblastic cellular infiltration and scarring were analysed and quantified using stereological methods. The introduction of this enzymatic cross-linking agent stimulated neovascularisation and epithelialisation resisting wound contraction. Hence, these characteristics make this scaffold a potential candidate to be considered as a dermal precursor.

Nonlinearity management in fibre links with distributed amplification

An approach to nonlinearity management in optical transmission lines with periodic dispersion compensation and distributed Raman amplification was presented. The optimization of a three-step dispersion map with forward and backward pumped distributed amplification was examined. The optimization was performed using the analytical solution obtained under the assumption of undepleted pumps and without inclusion of double Rayleigh Scattering (DRS), and by means of a full numerical approach accounting for all important effects. It was found that both procedures led to the same final solution.

Bayesian neural network approach for determining the risk of re-intervention after endovascular aortic aneurysm repair

This article proposes a Bayesian neural network approach to determine the risk of re-intervention after endovascular aortic aneurysm repair surgery. The target of proposed technique is to determine which patients have high chance to re-intervention (high-risk patients) and which are not (low-risk patients) after 5 years of the surgery. Two censored datasets relating to the clinical conditions of aortic aneurysms have been collected from two different vascular centers in the United Kingdom. A Bayesian network was first employed to solve the censoring issue in the datasets. Then, a back propagation neural network model was built using the uncensored data of the first center to predict re-intervention on the second center and classify the patients into high-risk and low-risk groups. Kaplan-Meier curves were plotted for each group of patients separately to show whether there is a significant difference between the two risk groups. Finally, the logrank test was applied to determine whether the neural network model was capable of predicting and distinguishing between the two risk groups. The results show that the Bayesian network used for uncensoring the data has improved the performance of the neural networks that were built for the two centers separately. More importantly, the neural network that was trained with uncensored data of the first center was able to predict and discriminate between groups of low risk and high risk of re-intervention after 5 years of endovascular aortic aneurysm surgery at center 2 (p = 0.0037 in the logrank test).