Community Health Evaluation in Normanton

The Community Health research project was based in the Normanton Neighbourhood Renewal area of Derby. It involved five key parties; the Derby City Partnership, Derby City Primary Care Trust, the Derby City Council Environmental Health and Trading Standards Department, the Centre for Community Regeneration and the International Centre for Guidance Studies (iCeGS) at the University of Derby. The research activities were led by the iCeGS. The project had two main objectives. The first was to map health-related service provision in the Normanton area, and then secondly, to ascertain the reach and impact of that provision. An important sub-component of the evaluation element was to enhance community capacity by recruiting and training a group of community evaluators in research and evaluation techniques to become competent community evaluators

Viability of Noether symmetry of F(R) theory of gravity

Canonization of F(R) theory of gravity to explore Noether symmetry is performed treating R - 6(\frac{\ddot a}{a} + \frac{\dot a^2}{a^2} + \frac{k}{a^2}) = 0 as a constraint of the theory in Robertson-Walker space-time, which implies that R is taken as an auxiliary variable. Although it yields correct field equations, Noether symmetry does not allow linear term in the action, and as such does not produce a viable cosmological model. Here, we show that this technique of exploring Noether symmetry does not allow even a non-linear form of F(R), if the configuration space is enlarged by including a scalar field in addition, or taking anisotropic models into account. Surprisingly enough, it does not reproduce the symmetry that already exists in the literature (A. K. Sanyal, B. Modak, C. Rubano and E. Piedipalumbo, Gen.Relativ.Grav.37, 407 (2005), arXiv:astro-ph/0310610) for scalar tensor theory of gravity in the presence of R^2 term. Thus, R can not be treated as an auxiliary variable and hence Noether symmetry of arbitrary form of F(R) theory of gravity remains obscure. However, there exists in general, a conserved current for F(R) theory of gravity in the presence of a non-minimally coupled scalar-tensor theory (A. K. Sanyal, Phys.Lett.B624, 81 (2005), arXiv:hep-th/0504021 and Mod.Phys.Lett.A25, 2667 (2010), arXiv:0910.2385 [astro-ph.CO]). Here, we briefly expatiate the non-Noether conserved current and cite an example to reveal its importance in finding cosmological solution for such an action, taking F(R) \propto R^{3/2}.Comment: 16 pages, 1 figure. appears in Int J Theoretical Phys (2012

The importance of inter-site coherences in the X-ray absorption spectra of mixed-valent systems

We study the importance of inter-site coherences and quantum interference effects in the X-ray absorption spectroscopy (XAS) of mixed-valent systems. We demonstrate its importance, first for a simple diatomic mixed-valent molecule to elucidate the physics involved, and finally for mixed-valent Ti oxides, using a model calculation including full spin and orbital multiplicities. Our calculations demonstrate the inefficacy of conventional approaches of describing the XAS from mixed-valent systems as incoherent combinations of XAS from the pure-valent end members, and that multiplets forbidden in the single-site approximation can be effectively reached within a multi-site description. These conclusions play an important role in the interpretation of XAS and resonant X-ray scattering (RXS) in terms of the electronic structure of strongly correlated systems

Developing black services A briefing paper for providers of alcohol services based on the experience of Alcohol Concern's Grants Programme

Vipin Chauhan, Lotus Management Consultancy and Gersh Subhra, University of DerbyAvailable from British Library Document Supply Centre-DSC:m00/35443 / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo

Scale Development for COVID-19 Vaccine Hesitancy by Integration of Socio-Demographic and Psychological Factors

Vaccination is the most cost-effective way to maintain population health. However, it can only be effective if widespread acceptance is held. The efficacy of COVID-19 vaccines depends on their favor. When countries start to vaccinate their citizens, there is a certain level of skepticism about the effectiveness of the vaccines. The hesitancy study on vaccines has gained momentum following the pandemic. However, few studies have examined the link between the psychological and sociodemographic factors influencing the fit. This paper proposes integrating the concepts of the information systems success and stimulus–organism–response into a cognitive fit theory framework to explore the integration of psychological and sociodemographic factors in the receivers’ reactions (n = 1510). This study analyses the factors that influence the hesitancy of vaccines and the public’s refusal in Asia and Europe. Receivers’ reactions were assessed to various stimuli and we explored the link between psychological and sociodemographic elements and the concept of fit. Two surveys were conducted following the scale development of Mackenzie. The first was to develop the fit scale, while the second was to validate the fit scale. The results of the second survey were analyzed using structural equation modelling. The results indicate that the scale’s fit development is valid and reliable. The quality of the vaccine information, the psychological characteristics of the vaccine system, and vaccine receivers’ satisfaction are also beneficial factors for emotional and cognitive fit. Maintaining the vaccines’ quality and efficiency can help improve the fit between sociodemographic and psychological characteristics. It can also enhance receivers’ satisfaction and encourage continued vaccine administration. This study is regarded as one of the first to examine and develop an emotional and cognitive fit scale for practitioners and researchers

Blockchain Propels Tourism Industry—An Attempt to Explore Topics and Information in Smart Tourism Management through Text Mining and Machine Learning

Blockchain and immersive technology are the pioneers in bringing digitalization to tourism, and researchers worldwide are exploring many facets of these techniques. This paper analyzes the various aspects of blockchain technology and its potential use in tourism. We explore high-frequency keywords, perform network analysis of relevant publications to analyze patterns, and introduce machine learning techniques to facilitate systematic reviews. We focused on 94 publications from Web Science that dealt with blockchain implementation in tourism from 2017 to 2022. We used Vosviewer for network analysis and artificial intelligence models with the help of machine learning tools to predict the relevance of the work. Many reviewed articles mainly deal with blockchain in tourism and related terms such as smart tourism and crypto tourism. This study is the first attempt to use text analysis to improve the topic modeling of blockchain in tourism. It comprehensively analyzes the technology’s potential use in the hospitality, accommodation, and booking industry. In this context, the paper provides significant value to researchers by giving an insight into the trends and keyword patterns. Tourism still has many unexplored areas; journal articles should also feature special studies on this topic

Developing black services A briefing paper for commissioners and other funders of alcohol services based on the experience of Alchol Concern's Grants Programme

Gersh Subhra, University of Derby and Vipin Chauhan, Lotus Management ConsultancyAvailable from British Library Document Supply Centre-DSC:m00/35444 / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo

Efficient Processing Methodology for UAV Flight Path Detection

Unmanned Areal Vehicle (UAV) based imagery is an emerging technology that has penetrated numerous verticals such as remote sensing, precision agriculture, land surveying. Various types of sensors are mounted onto UAV, and the images of the area of interest are captured. To get a complete distortionless areal view of the area, an orthomosaic is created using the captured images on which further analysis is done. But the traditional orthomosaic creation techniques are tedious, time-consuming, and also computationally complex. In this paper, a novel algorithm is proposed which speeds up the region of interest (ROI) detection significantly. In this method, the UAV flight path is divided into multiple Sub-Paths, and each path is processed parallelly. This method is universal and drastically improves the processing speed for any set of UAV images. It is observed that the algorithm reduces the computation time by around 75%