Supporting interoperability frameworks in the UK public sector

This paper describes the design and implementation of a component based software application, which alleviates the problem of software interoperability in the UK public sector. We analyze the current interoperability frameworks across the United Kingdom (UK) and European Union (EU) and propose a software solution that enhances such interoperability initiatives. Our example scenario is placed within a UK local authority, which shares data stored within the Police databases, for making efficient and more accurate operational decisions. The prototype, implemented as a J2EE application and built upon existing databases, proves our concept that it is possible to achieve data and application interoperability without integrating data sources and without using XML formats for data sharing.

Identification of meat spoilage by FTIR spectroscopy and neural networks

Freshness and safety of muscle foods are generally considered as the most important parameters for the food industry. To address the rapid determination of meat spoilage, Fourier transform infrared (FTIR) spectroscopy technique, with the help of advanced learning-based methods, was attempted in this work. FTIR spectra were obtained from the surface of beef samples during aerobic storage at various temperatures, while a microbiological analysis had identified the population of Total viable counts. A fuzzy principal component algorithm has been also developed to reduce the dimensionality of the spectral data. The results confirmed the superiority of the adopted scheme compared to the partial least squares technique, currently used in food microbiology.

Foundation degrees in biomedical science: the student experience

The first cohort of students on a University of Westminster foundation degree completed the course recently. Here, Chrystalla Ferrier, Kelly Brookwell and Paul Quinn employ some reflective practice.

The compassion gap in UK universities

Context: This critical reflection is set in the context of increasing marketisation in UK higher education, where students are seen as consumers, rather than learners with power. The paper explores the dark side of academic work and the compassion gap in universities, in order to make recommendations for practice development in higher education and the human services. Aims: The paper aims to show how reflexive dialogue can be used to enable the development of compassionate academic practice. Conclusions and Implications for Practice: Toxic environments and organisational cultures in higher education have compounded the crisis in compassionate care in the NHS. Implications for practice are: • Narrative approaches and critical appreciative inquiry are useful methods with which to reveal, and rectify, failures of compassion; • Courageous conversations are required to challenge dysfunctional organisational systems and processes; • Leadership development programmes should include the application of skills of compassion in organisational settings.

Translation and Psychometric Evaluation of a Standard Chinese Version of the Body Appreciation Scale-2

The present study examined the factorial and construct validity of a Standard Chinese translation of the Body Appreciation Scale (BAS-2; Tylka & Wood-Barcalow, 2015b). Participants were 191 women and 154 men from mainland China who were resident in Hong Kong at the time of recruitment. Results of confirmatory factor analysis indicated that the one-dimensional model of the BAS-2, in which all 10 items loaded onto the same factor, had adequate fit and was invariant across sex. Body appreciation scores had good internal consistency and were significantly correlated with self-esteem and life satisfaction, and, in women, with weight discrepancy and body mass index. There were no significant differences in body appreciation scores between women and men. The present findings suggest that the Standard Chinese translation of the BAS-2 has the same one-dimensional factor structure as its parent scale and may facilitate cross-cultural studies of positive body image.

Toxicity profile of bevacizumab in the UK Neurofibromatosis Type 2 cohort

Bevacizumab is considered an established part of the treatment strategies available for schwannomas in patients with Neurofibromatosis Type 2(NF2). In the UK, it is available through NHS National Specialized Commissioning to NF2 patients with a rapidly growing target schwannoma. Regrowth of the tumour on suspension of treatment is often observed resulting in prolonged periods of exposure to bevacizumab to control the disease. Hypertension and proteinuria are common events with bevacizumab use and there are concerns with regards to the long-term risks of prolonged treatment. Dosing, demographic and adverse event(CTCAE 4.03) data from the UK NF2 bevacizumab cohort are reviewed with particular consideration of renal and cardiovascular complications. Eighty patients (48 male:32female), median age 24.5 years (range 11-66years), were followed for a median of 32.7 months (range 12.0–60.2months). The most common adverse events were fatigue, hypertension and infection. A total of 19/80 patients (24%) had either a grade 2 or grade 3 hypertension event and 14/80 patients (17.5%) had proteinuria. Of 36 patients followed for 36 months, 78% were free from hypertension and 86% were free of proteinuria. Logistic regression modeling identified age and induction dosing regime to be predictors of development of hypertension with dose of 7.5mg/kg three weekly and age >30years having higher rates of hypertension. Proteinuria persisted in one of three patients after cessation of bevacizumab. One patient developed congestive heart failure and the details of this case are described. Further work is needed to determine optimal dosing regimes to limit toxicity without impacting on efficacy.

The LH5 model for data mining

In the age of E-Business many companies faced with massive data sets that must be analysed for gaining a competitive edge. these data sets are in many instances incomplete and quite often not of very high quality. Although statistical analysis can be used to pre-process these data sets, this technique has its own limitations. In this paper we are presenting a system - and its underlying model - that can be used to test the integrity of existing data and pre-process the data into clearer data sets to be mined. LH5 is a rule-based system, capable of self-learning and is illustrated using a medical data set.

On various low-hardware-complexity LMS algorithms for adaptive I/Q correction in quadrature receivers

In this paper, the performance and convergence time comparisons of various low-complexity LMS algorithms used for the coefficient update of adaptive I/Q corrector for quadrature receivers are presented. We choose the optimum LMS algorithm suitable for low complexity, high performance and high order QAM and PSK constellations. What is more, influence of the finite bit precision on VLSI implementation of such algorithms is explored through extensive simulations and optimum wordlengths established.

On the structure and performance of a novel blind source separation based carrier phase synchronization error compensator

In this paper we carry out a detailed performance analysis of a novel blind-source-seperation (BSS) based DSP algorithm that tackles the carrier phase synchronization error problem. The results indicate that the mismatch can be effectively compensated during the normal operation as well as in the rapidly changing environments. Since the compensation is carried out before any modulation specific processing, the proposed method works with all standard modulation formats and lends itself to efficient real-time custom integrated hardware or software implementations.