Data envelopment analysis and performance management

4th International Symposium of DEA, 5th-6th September 2004, Birmingham (UK)

Teaching business students law by virtual means

In this article from the Spring 2008 issue of Directions Odette Hutchinson (Birmingham City University) details her experience introducing video lectures to first year business students studying the English legal system as part of a business law pathway.

R v Dr Priya Ramnath

The recent conviction at Birmingham Crown Court of Dr Priya Ramnath for the manslaughter of a patient under her care at Stafford District General Hospital, occurs no less than a decade after the original inquest into the victim’s death recorded a verdict of death by natural causes. This verdict was later overturned following a second inquest in 2004 and substituted for a verdict of unlawful killing...

The public health role of community pharmacies

This article describes the experience of developing an enhanced public health role for a community pharmacy in the Castle Vale estate in Birmingham. It shows that the neighbourhood-based regeneration context of Castle Vale has created a stimulating setting for an ambitious and innovative pharmacy company to demonstrate what might be possible on a much wider scale in the UK. A core ethos of the Castle Vale regeneration initiative has been public-private partnership and this project reveals some 'critical success factors' for on-the-ground achievement.

The new UK research governance: its impact on pharmacy undergraduate research projects

Implementation of the Department of Health Research Governance Framework (RGF) in the United Kingdom has major implications for the conduct of pharmacy practice undergraduate research projects. This paper draws upon a survey of local ethics research committees (LRECs) in the greater Birmingham area to identify the issues that arise from the RGF in relation to non-clinical practice research in community pharmacy. Although there is some evidence of minor differences between LRECs, the overwhelming finding is that projects will be subject to the full force of the RGF. The implications are discussed in relation to specific issues relating to non-clinical research, the professional aspirations for a research capable workforce, and the expertise within pharmacy to meet the current accreditation requirements for undergraduate projects.

The design and piloting of an eBusiness design studio

This paper describes the establishment and early use of an eBusiness Design Studio in Aston Business School at Aston University which is located in Birmingham in the UK. It was originally conceived as an R&D aid as much as a teaching resource. However the bulk of its use to date has been in the support of Masters level modules (courses) and this description will focus on that application in the first instance. We have less experience of its use in an R&D context but we will make some preliminary comments on this in a later section.

City branding:can goods and services branding models be used to brand cities?

A city's branding is investigated using generic product and services branding models. Two generic branding models and tourism segmentation models guide an investigation into city branding 'as it should be' and 'as it is' using Birmingham, England as a case study. The unique characteristics of city brands are identified and Keller's Brand Report Card provides a theoretical framework for building a picture of the brand-building activity taking place in the city. Four themes emerge and are discussed: 1) the impact of a network on brand models developed for organisations; 2) segmentation of brand elements; 3) corporate branding; and 4) the political dimension. A conclusion is that city branding would be more effective if the systems and structures of generic branding models were adopted.

Nonlinearity in all-night sleep EEG recorded with foramen ovale electrodes in a patient with temporal lobe epilepsy

Objective: It is investigated to which extent measures of nonlinearity derived from surrogate data analysis are capable to quantify the changes of epileptic activity related to varying vigilance levels. Methods: Surface and intracranial EEG from foramen ovale (FO-)electrodes was recorded from a patient with temporal lobe epilepsy under presurgical evaluation over one night. Different measures of nonlinearity were estimated for non-overlapping 30-s segments for selected channels from surface and intracranial EEG. Additionally spectral measures were calculated. Sleep stages were scored according to Rechtschaffen/Kales and epileptic transients were counted and classified by visual inspection. Results: In the intracranial recordings stronger nonlinearity was found ipsilateral to the epileptogenic focus, more pronounced in NREM sleep, weaker in REM sleep. The dynamics within the NREM episodes varied with the different nonlinearity measures. Some nonlinearity measures showed variations with the sleep cycle also in the intracranial recordings contralateral to the epileptic focus and in the surface EEG. It is shown that the nonlinearity is correlated with short-term fluctuations of the delta power. The higher frequency of occurrence of clinical relevant epileptic spikes in the first NREM episode was not clearly reflected in the nonlinearity measures. Conclusions: It was confirmed that epileptic activity renders the EEG nonlinear. However, it was shown that the sleep dynamics itself also effects the nonlinearity measures. Therefore, at the present stage it is not possible to establish a unique connection between the studied nonlinearity measures and specific types of epileptic activity in sleep EEG recordings.

Regularisation of mixture density networks

Mixture Density Networks are a principled method to model conditional probability density functions which are non-Gaussian. This is achieved by modelling the conditional distribution for each pattern with a Gaussian Mixture Model for which the parameters are generated by a neural network. This thesis presents a novel method to introduce regularisation in this context for the special case where the mean and variance of the spherical Gaussian Kernels in the mixtures are fixed to predetermined values. Guidelines for how these parameters can be initialised are given, and it is shown how to apply the evidence framework to mixture density networks to achieve regularisation. This also provides an objective stopping criteria that can replace the `early stopping' methods that have previously been used. If the neural network used is an RBF network with fixed centres this opens up new opportunities for improved initialisation of the network weights, which are exploited to start training relatively close to the optimum. The new method is demonstrated on two data sets. The first is a simple synthetic data set while the second is a real life data set, namely satellite scatterometer data used to infer the wind speed and wind direction near the ocean surface. For both data sets the regularisation method performs well in comparison with earlier published results. Ideas on how the constraint on the kernels may be relaxed to allow fully adaptable kernels are presented.