Nottingham Trent University

About: Nottingham Trent University is a education organization based out in Nottingham, United Kingdom. It is known for research contribution in the topics: Population & Addiction. The organization has 4702 authors who have published 12862 publications receiving 307430 citations. The organization is also known as: NTU & Trent Polytechnic.

Physical Layer Security in Vehicular Networks with Reconfigurable Intelligent Surfaces

Abstract: This paper studies the physical layer security (PLS) of a vehicular network employing a reconfigurable intelligent surface (RIS). RIS technologies are emerging as an important paradigm for the realisation of smart radio environments, where large numbers of small, low-cost and passive elements, reflect the incident signal with an adjustable phase shift without requiring a dedicated energy source. Inspired by the promising potential of RIS-based transmission, we investigate two vehicular network system models: One with vehicle-to-vehicle communication with the source employing a RIS-based access point, and the other model in the form of a vehicular adhoc network (VANET), with a RIS-based relay deployed on a building. Both models assume the presence of an eavesdropper to investigate the average secrecy capacity of the considered systems. Monte-Carlo simulations are provided throughout to validate the results. The results show that performance of the system in terms of the secrecy capacity is affected by the location of the RIS-relay and the number of RIS cells. The effect of other system parameters such as source power and eavesdropper distances are also studied.

A comparison of linear forecasting models and neural networks: an application to Euro inflation and Euro Divisia

Abstract: Linear models reach their limitations in applications with nonlinearities in the data. In this paper new empirical evidence is provided on the relative Euro inflation forecasting performance of linear and non-linear models. The well established and widely used univariate ARIMA and multivariate VAR models are used as linear forecasting models whereas neural networks (NN) are used as non-linear forecasting models. It is endeavoured to keep the level of subjectivity in the NN building process to a minimum in an attempt to exploit the full potentials of the NN. It is also investigated whether the historically poor performance of the theoretically superior measure of the monetary services flow, Divisia, relative to the traditional Simple Sum measure could be attributed to a certain extent to the evaluation of these indices within a linear framework. Results obtained suggest that non-linear models provide better within-sample and out-of-sample forecasts and linear models are simply a subset of them. The Divisia index also outperforms the Simple Sum index when evaluated in a non-linear framework. © 2005 Taylor & Francis Group Ltd.

Anxiety versus Fundamental Emotions as Predictors of Perceived Functionality of Pre-Competitive Emotional States, Threat, and Challenge in Individual Sports

Abstract: The objectives of this study were to examine the contribution of anxiety and fundamental emotions to perceived emotion functionality and evaluate the informational value of anxiety measures used in sport versus measures of fundamental emotions in terms of appraisal. A battery of questionnaires comprising the somatic and cognitive subscale of the Competitive State Anxiety Inventory-2 (CSAI-2), the State Anxiety Inventory, the Differential Emotions Scale-IV, a perceived functionality of emotions single item, and two items assessing challenge and threat appraisals was administered to 202 athletes competing in individual sports in the United Kingdom. They were tested on recalled pre-competitive emotions experienced before their best and worst competition ever and momentary emotions experienced one hour before an actual competition. In general, measures of fundamental emotions with clear approach or avoidance action tendencies were better predictors of emotion functionality than anxiety measures. Results also suggested that the CSAI-2 does not convey clear information about an athlete's appraisal of a competition. Measures of negative and positive fundamental emotions with clear action tendencies were better indicators of athletes' appraisal patterns. It was concluded that assessment of athletes' emotional state should not be exclusively based on anxiety measures but should encompass or be replaced with measures of emotions conveying unambiguous information about the athlete-competition relationship.

Measuring tourist satisfaction: A factor-cluster segmentation approach

Abstract: Tourist satisfaction has been considered as a tool for increasing destination competitiveness. In an attempt to gain a better understanding of tourists' satisfaction in an island mass destination this study has taken Crete as a case with the aim to identify the underlying dimensions of tourists' satisfaction, to investigate whether tourists could be grouped into distinct segments and to examine the differences between the segments and their sociodemographic and travel arrangement characteristics. A segmentation procedure based on destination dimensions produced three clusters: the `Higher-Satisfied'; the `In-Betweeners'; and the `Lower-Satisfied'. The implications and the conclusions of the study are provided in relation to the marketing of the island of Crete.

Perceptions of threat, benefits, and barriers in breast self‐examination amongst young asymptomatic women

Abstract: AIM: Young age at diagnosis of breast cancer is a negative prognostic factor, but early detection of breast pathology may improve prognosis. The present study examined the role of health perceptions (Health Belief Model; HBM) in young women's breast self-examination (BSE). It was hypothesized that cues to action, health motivation, and perceptions of threat (vulnerability, severity), benefits, and barriers, will predict BSE, but that threat perceptions will be more powerful predictors than benefits and barriers. METHOD: Questionnaire data from 178 asymptomatic women (aged 18-35 years) living in the northwestern region of England were analysed. RESULTS: Using hierarchical logistic regression controlling for demographic factors, only severity and barriers emerged as important predictors; lower perceived seriousness of breast cancer and fewer perceived obstacles to practising BSE predicted performance of BSE. For every unit increment on the severity and barrier scales, the odds of a respondent performing BSE decreased by approximately 8 and 20%, respectively. CONCLUSIONS: The results provide qualified support for the HBM. Perceived barriers was the most powerful predictor, although respondents assessed breast-cancer severity based on early detection through BSE. Implications for clinical interventions are considered.