Improving support for older people looking after someone with advanced cancer

The briefing paper is about the findings and recommendations from a research project conducted at the University of Nottingham, with funding awarded by Macmillan Cancer Support. The project was set up to study the experiences and main support needs of older carers looking after someone with advanced cancer and to facilitate the active involvement of carers in the research process. Looking after someone with advanced cancer approaching the end of their life has a substantial and enduring impact on older carers. Various factors contribute to the diverse quality and impact of end of life care experiences for both the person with advanced cancer and their caregiver. These include factors relating to the care giver and care recipient, such as the communication style and quality of relationship between them; the availability, provision and quality of informal support, and the duration of the end of life care phase. They also include factors external to the care giver and care recipient such as the availability, provision and quality of formal health and social care services for both the care giver and the person with advanced cancer. The study participants main support needs and recommendations for improving support for older carers are provided

The History of Public Education in New Orleans Still Matters

Ten years after the flood waters from negligently constructed federal levees inundated New Orleans, public education reformers have unhitched their narrative from the pre-Katrina history of the Crescent City. They cleverly placed the blame for the condition of the schools on the backs of the teachers--and their union. The reformers contend that New Orleans was a “blank sheet of paper” upon which they put in place a successful system of charter schools. Perhaps the reference to the “blank sheet of paper” makes more sense as an effort to paper-over a long and painful history that includes the lingering effects of white supremacy

Older Carers and Involvement in Research

The briefing paper describes the views, experiences, motivations and plans of six older carers who decided to stay involved in research following their participation in a one year project and some research training at the University of Nottingham funded by Macmillan Cancer Support. The project was set up to study the experiences and main support needs of older carers looking after someone with advanced cancer and was designed to also encourage and facilitate the active involvement of carers in the research proces

Using a kernel-based approach to visualize integrated Chronic Fatigue Syndrome datasets

We describe the use of a kernel-based approach using the Laplacian matrix to visualize an integrated Chronic Fatigue Syndrome dataset comprising symptom and fatigue questionnaire and patient classification data, complete blood evaluation data and patient gene expression profiles. We present visualizations of the individual and integrated datasets with the linear and Gaussian kernel functions. An efficient approach inspired by computational linguistics for constructing a linear kernel matrix for the gene expression data is described. Visualizations of the questionnaire data show a cluster of non-fatigued individuals distinct from those suffering from Chronic Fatigue Syndrome that supports the fact that diagnosis is generally made using this kind of data. Clusters unrelated to patient classes were found in the gene expression data. Structure from the gene expression dataset dominated visualizations of integrated datasets that included gene expression data. © 2006, Australian Computer Society, Inc

Management of multi-method engineering design research: a case study

There is a need for a research management methodology that will utilise research methods on an individual basis and when combined in a multi-method approach. An agreed methodology would enable rapid progress in achieving agreement on the main issues within engineering design research. Researchers at the University of Glasgow have developed a conceptual management methodology, testing it on three engineering design research projects. This paper describes the methodology and presents results indicating its ability to enable rigorous triangulation of research results obtained via different methods and across different research projects forming the basis of an effective management tool

Cascading training down into the classroom: The need for parallel planning

Cascade models of in-service training are widely considered to be a cost effective means of introducing educational change to large numbers of teachers. Data from 511 teachers completing a cascade training programme that introduced current ideas about and procedures for teaching English to young learners, suggests that provision of training alone is no guarantee that cascade training aims will actually be applied in classrooms. The paper considers implications for cascade projects, suggesting that planning needs to be a parallel process if an adequate return on outlay, in the sense of teachers applying skills introduced in training in their classrooms, is to be achieved

Comparison of visualization methods of genome-wide SNP profiles in childhood acute lymphoblastic leukaemia

Data mining and knowledge discovery have been applied to datasets in various industries including biomedical data. Modelling, data mining and visualization in biomedical data address the problem of extracting knowledge from large and complex biomedical data. The current challenge of dealing with such data is to develop statistical-based and data mining methods that search and browse the underlying patterns within the data. In this paper, we employ several data reduction methods for visualizing genome- wide Single Nucleotide Polymorphism (SNP) datasets based on state-of-art data reduction techniques. Visualization approach has been selected based on the trustworthiness of the resultant visualizations. To deal with large amounts of genetic variation data, we have chosen to apply different data reduction methods to deal with the problem induced by high dimensionality. Based on the trustworthiness metric we found that neighbour Retrieval Visualizer (NeRV) outperformed other methods. This method optimizes the retrieval quality of Stochastic neighbour Embedding. The quality measure of the visualization (i.e. NeRV) showed excellent results, even though the dataset was reduced from 13917 to 2 dimensions. The visualization results will assist clinicians and biomedical researchers in understanding the systems biology of patients and how to compare different groups of clusters in visualizations. © 2008, Australian Computer Society, Inc