The Birmingham relationship continuity measure:the development and evaluation of a measure of the perceived continuity of spousal relationships in dementia

Background: Qualitative research has suggested that spousal carers of someone with dementia differ in terms of whether they perceive their relationship with that person as continuous with the premorbid relationship or as radically different, and that a perception of continuity may be associated with more person-centered care and the experience of fewer of the negative emotions associated with caring. The aim of the study was to develop and evaluate a quantitative measure of the extent to which spousal carers perceive the relationship to be continuous. Methods: An initial pool of 42 questionnaire items was generated on the basis of the qualitative research about relationship continuity. These were completed by 51 spousal carers and item analysis was used to reduce the pool to 23 items. The retained items, comprising five subscales, were then administered to a second sample of 84 spousal carers, and the questionnaire's reliability, discriminative power, and validity were evaluated. Results: The questionnaire showed good reliability: Cronbach's α for the full scale was 0.947, and test-retest reliability was 0.932. Ferguson's δ was 0.987, indicating good discriminative power. Evidence of construct validity was provided by predicted patterns of subscale correlations with the Closeness and Conflict Scale and the Marwit-Meuser Caregiver Grief Inventory. Conclusion: Initial psychometric evaluation of the measure was encouraging. The measure provides a quantitative means of investigating ideas from qualitative research about the role of relationship continuity in influencing how spousal carers provide care and how they react emotionally to their caring role. © 2012 International Psychogeriatric Association.

Plant closures and taskforce responses:an analysis of the impact of and policy response to MG Rover in Birmingham

This paper explores the socio-economic impacts and associated policy responses to the collapse of MG Rover at Longbridge in Birmingham. Critically, it attempts to move beyond a ‘standard’ taskforce narrative that emphasizes the role of the regional response. While recognizing that significant policy ‘successes’ were indeed evident at the regional level in anticipating and responding to the crisis, a wider perspective is required that situates this taskforce response in (1) a fuller understanding of labour market precariousness (that in turn mitigates some of its policy ‘successes’), and (2) more local perspectives that highlight the local impacts of closure, the role of the neighbourhood level officials and the third sector in mediating these. Taking this broader perspective suggests that longer-term, workers face a precarious situation and the need for policies to create and sustain ‘good quality’ jobs remains paramount. Adding in more local perspectives, a key lesson from the Longbridge experience for dealing with closures more generally is that the public policy responses must be: multidimensional in that they transcend narrow sector-based concerns and addresses broader spatial impacts; inclusive in that they build on a broad coalition of economic and social stakeholders; and long-term in that they acknowledge that adaptation takes many years. If anything, the Birmingham Longbridge experience demonstrates the difficulty of achieving such responses in the context of crisis where action is imperative and deliberation a luxury.

Groundwater flow patterns within the Triassic sandstone aquifers, Birmingham, United Kingdom

This paper presents the development of a modelling study for part of the Birmingham area. Restricted access and model resolutions have limited wide applications of some of the previously developed models. The study area covers approximately 221 km2, and is underlain geologically, by a multi-layer setup with varied hydraulic properties. The basal aquifer unit is the Kidderminster sandstone Formation, overlain by the Wildmoor and Bromsgrove sandstone Formations. The presence of the Birmingham fault which acts as low permeability barrier demarcates the eastern and southern boundaries. The western boundary is defined by the presence of crystallised rocks and coal measures, while a groundwater divide defines the northern boundary. The estimated recharge flux is 112 mm/yr. The ranges of calibrated values obtained for horizontal and vertical hydraulic conductivities are 5.787x10-6 - 2.315x10-5  m/s and 5.787x10-8  - 1.157x10-7  m/s, respectively. Corresponding values obtained for the specific yield and specific storage are 0.10 - 0.12, and 1x10 -4 - 5x10 -4. The calculated numerical error is generally much less than 0.1 %. Hydraulic layering within the Permo-Triassic sandstone aquifer is thought to account for the large vertical anisotropy. Although, uncertainties are associated with the use of a simplistic delay approach to characterise the effects of the unsaturated zone, the modelled values are comparable with those obtained in the literature, and the flow pattern predictions appear to be realistic. © Research India Publications.

West Midlands English:Birmingham and the Black Country

This chapter provides an overview, discussing firstly the boundaries of the West Midlands area today within which Birmingham and the Black Country are situated, taking account of how they have changed across time. It includes a section on the demographic make-up of the region across time, before moving on to consider issues relating to language, culture and identity in section 1.5 on the theoretical underpinnings of the research upon which much of this book is based, particularly in relation to Chapters 2, 3 and 4 is also included. Section 1.6 then considers issues relating to research design, and the different methodologies adopted in research design and data collection and analysis by three separate projects which inform the chapters of this book. The Geographical Limits of the west Midlands: Where does it begin and where does it end? The Local Government Boundary Commission for England (2010: http://www.lgbce.org.uk/) gives the geographical range of the west Midlands as the five counties of Herefordshire, Shropshire, Staffordshire, Warwickshire and Worcestershire. The boundaries of these five shire counties date back to at least the twelfth century, being ancient subdivisions established by the Normans for administration purposes after the 1066 conquest. The shire counties were, in most cases, based on earlier Anglo-Saxon divisions. In 1974, as a result of population density concentrated in parts of the shire counties, a sixth county, that of the West Midlands, was carved out from parts of the three shire counties of Staffordshire, Warwickshire and Worcestershire.

Inspiring young people to engage in engineering education:The Aston University Engineering Academy Birmingham

This paper initially reports concerns about the falling interest in engineering and mathematical disciplines and looks at some of the reasons for this. It then discusses the aims of the Engineering Diploma - a qualification for 14-19 year olds in the UK - and the pedagogical research that that has informed the design and development. The paper highlights the key learning theories that support the delivery of this qualification and provides an example of how this pedagogy has been applied effectively through the curriculum partnership that has been developed between a consortium of schools in the Birmingham local authority, Aston University and employers. It establishes the importance of aligning the curriculum and articulating clear engineering progression routes from the age of fourteen to enable young people to be inspired and motivated towards careers in engineering. The paper presents the view of parents, teachers and pupils involved with the Diploma, during the first year, and the way in which the partnership is informing future developments in the delivery of engineering curriculum within the region. The success of this regional partnership model has resulted in the Department of Children, Schools and Families agreeing to fund the development of the Aston University Engineering Academy Birmingham. This is a school for 14-19 year olds that will open in 2012 on the Aston Science Park adjacent to the University. The final part of the paper looks at the benefits to the young local engineers of this initiative. © 2009 Authors.

Board gender diversity in UK firms – recent trends and performance eEffects

This paper provides an overview of the position of women directors in UK firms. Based on data for all UK firms with more than three directors, this data provides a comprehensive picture of the position of women in UK business leadership and contributes to our understanding of progress towards achieving greater gender balance in the boardroom. Five key points emerge. •Female directors account for around 1:4 directors in UK firms but only around 1:10 businesses in the UK are female controlled. •Only 1:226 larger firms in this category have a majority of female directors. •The overall proportion of female directors in the UK has grown in recent years but slowly. At the rate of progress achieved over the 2003-2005 period, it will be the year 2225 before gender balance in company directorships is achieved in the UK. •There are a significant and interesting group of 12, 600 sisterhood companies in the UK – those wholly owned and led by women. Although they are predominantly services, these do firms exist in all business sectors with a focus on smaller companies. These firms represent an interesting potential focus for future research. •Our analysis of board gender diversity and business growth suggests that there is a business cost to gender balance in terms of foregone growth.

Bayesian retrieval of scatterometer wind fields

The retrieval of wind fields from scatterometer observations has traditionally been separated into two phases; local wind vector retrieval and ambiguity removal. Operationally, a forward model relating wind vector to backscatter is inverted, typically using look up tables, to retrieve up to four local wind vector solutions. A heuristic procedure, using numerical weather prediction forecast wind vectors and, often, some neighbourhood comparison is then used to select the correct solution. In this paper we develop a Bayesian method for wind field retrieval, and show how a direct local inverse model, relating backscatter to wind vector, improves the wind vector retrieval accuracy. We compare these results with the operational U.K. Meteorological Office retrievals, our own CMOD4 retrievals and a neural network based local forward model retrieval. We suggest that the neural network based inverse model, which is extremely fast to use, improves upon current forward models when used in a variational data assimilation scheme.

Mixture density networks

Minimization of a sum-of-squares or cross-entropy error function leads to network outputs which approximate the conditional averages of the target data, conditioned on the input vector. For classifications problems, with a suitably chosen target coding scheme, these averages represent the posterior probabilities of class membership, and so can be regarded as optimal. For problems involving the prediction of continuous variables, however, the conditional averages provide only a very limited description of the properties of the target variables. This is particularly true for problems in which the mapping to be learned is multi-valued, as often arises in the solution of inverse problems, since the average of several correct target values is not necessarily itself a correct value. In order to obtain a complete description of the data, for the purposes of predicting the outputs corresponding to new input vectors, we must model the conditional probability distribution of the target data, again conditioned on the input vector. In this paper we introduce a new class of network models obtained by combining a conventional neural network with a mixture density model. The complete system is called a Mixture Density Network, and can in principle represent arbitrary conditional probability distributions in the same way that a conventional neural network can represent arbitrary functions. We demonstrate the effectiveness of Mixture Density Networks using both a toy problem and a problem involving robot inverse kinematics.

How many thoughts can you think?

In ordinary computer programs, the relationship between data in a machine and the concepts it represents is defined arbitrarily by the programmer. It is argued here that the Strong AI hypothesis suggests that no such arbitrariness is possible in the relationship between brain states and mental experiences, and that this may place surprising limitations on the possible variety of mental experiences. Possible psychology experiments are sketched which aim to falsify the Strong AI hypothesis by indicating that these limits can be exceeded. It is concluded that although such experiments might be valuable, they are unlikely to succeed in this aim.

The MISLEM Project : developing meta-level quality indicators for establishing a systematic linkage between educational institutions and the labour market:education, employment and graduate employability: project manual

The MISLEM Project comprised representatives from Higher and Vocational Education in four partner countries, Austria, Romania, Slovenia and the UK. In addition to this, representatives from a major UK graduate employment agency and the Austria Quality Assurance Agency were also involved. At the inaugural meeting of the Project, partner teams discussed and agreed upon appropriate methodological processes with which to carry the Project forward.

Neural networks: a pattern recognition perspective

The majority of current applications of neural networks are concerned with problems in pattern recognition. In this article we show how neural networks can be placed on a principled, statistical foundation, and we discuss some of the practical benefits which this brings.

Bayesian invariant measurements of generalisation for discrete distributions

Neural network learning rules can be viewed as statistical estimators. They should be studied in Bayesian framework even if they are not Bayesian estimators. Generalisation should be measured by the divergence between the true distribution and the estimated distribution. Information divergences are invariant measurements of the divergence between two distributions. The posterior average information divergence is used to measure the generalisation ability of a network. The optimal estimators for multinomial distributions with Dirichlet priors are studied in detail. This confirms that the definition is compatible with intuition. The results also show that many commonly used methods can be put under this unified framework, by assume special priors and special divergences.

Bayesian invariant measurements of generalisation for continuous distributions

A family of measurements of generalisation is proposed for estimators of continuous distributions. In particular, they apply to neural network learning rules associated with continuous neural networks. The optimal estimators (learning rules) in this sense are Bayesian decision methods with information divergence as loss function. The Bayesian framework guarantees internal coherence of such measurements, while the information geometric loss function guarantees invariance. The theoretical solution for the optimal estimator is derived by a variational method. It is applied to the family of Gaussian distributions and the implications are discussed. This is one in a series of technical reports on this topic; it generalises the results of ¸iteZhu95:prob.discrete to continuous distributions and serve as a concrete example of a larger picture ¸iteZhu95:generalisation.