Edinburgh Napier University

About: Edinburgh Napier University is a education organization based out in Edinburgh, United Kingdom. It is known for research contribution in the topics: Population & Health care. The organization has 2665 authors who have published 6859 publications receiving 175272 citations.

Predicting general well-being from self-esteem and affectivity: an exploratory study with Scottish adolescents.

Abstract: The present study investigated the association between the personality constructs of self-esteem/affectivity and General Well-Being (GWB) in Scottish adolescents. A total of 425 secondary school pupils completed the P.G.I. General Well-Being Scale [Verma et al. Ind J. Clin. Psychol. 10 (1983) 299], the Hare Self-esteem Scale (HSES) [Hare, The Hare General and Area-Specific (School, Peer, and Home) Self-esteem Scale. Unpublished manuscript, Department of Sociology, SUNY Stony Brook, New York, mineo, 1985] and the Positive and Negative Affect Schedule (PANAS) [Watson et al. J Personal Soc Psychol 54 (1988a) 1063]. Combined self-esteem, positive and negative affectivity, age and gender accounted for 49.7% of the total GWB variance, 24.9% of the physical well-being variance, 41.6% of the mood/affect well-being variance, 33.3% of the anxiety well-being variance and 44.3% of the self/others well-being variance. Home self-esteem was found the strongest predictor of mood/affect and self/others well-being domains as well as well-being total. It was also the second best predictor of anxiety well-being domain. School self-esteem was the strongest predictor of physical well-being, whereas negative affectivity was the strongest predictor of anxiety well-being domain. However age and gender were not significantly associated with GWB, total or domain specific. The study adds to previous evidence regarding the high association between GWB and personality factors in adult and adolescent populations. Directions for future research are discussed.

Adaptive polynomial rendering

Abstract: In this paper, we propose a new adaptive rendering method to improve the performance of Monte Carlo ray tracing, by reducing noise contained in rendered images while preserving high-frequency edges. Our method locally approximates an image with polynomial functions and the optimal order of each polynomial function is estimated so that our reconstruction error can be minimized. To robustly estimate the optimal order, we propose a multi-stage error estimation process that iteratively estimates our reconstruction error. In addition, we present an energy-preserving outlier removal technique to remove spike noise without causing noticeable energy loss in our reconstruction result. Also, we adaptively allocate additional ray samples to high error regions guided by our error estimation. We demonstrate that our approach outperforms state-of-the-art methods by controlling the tradeoff between reconstruction bias and variance through locally defining our polynomial order, even without need for filtering bandwidth optimization, the common approach of other recent methods.

The European TeleCheck-AF project on remote app-based management of atrial fibrillation during the COVID-19 pandemic: centre and patient experiences.

Abstract: AIMS: TeleCheck-AF is a multicentre international project initiated to maintain care delivery for patients with atrial fibrillation (AF) during COVID-19 through teleconsultations supported by an on-demand photoplethysmography-based heart rate and rhythm monitoring app (FibriCheck®). We describe the characteristics, inclusion rates, and experiences from participating centres according the TeleCheck-AF infrastructure as well as characteristics and experiences from recruited patients. METHODS AND RESULTS: Three surveys exploring centre characteristics (n = 25), centre experiences (n = 23), and patient experiences (n = 826) were completed. Self-reported patient characteristics were obtained from the app. Most centres were academic (64%) and specialized public cardiology/district hospitals (36%). Majority of the centres had AF outpatient clinics (64%) and only 36% had AF ablation clinics. The time required to start patient inclusion and total number of included patients in the project was comparable for centres experienced (56%) or inexperienced in mHealth use. Within 28 weeks, 1930 AF patients were recruited, mainly for remote AF control (31% of patients) and AF ablation follow-up (42%). Average inclusion rate was highest during the lockdown restrictions and reached a steady state at a lower level after easing the restrictions (188 vs. 52 weekly recruited patients). Majority (>80%) of the centres reported no problems during the implementation of the TeleCheck-AF approach. Recruited patients [median age 64 (55-71), 62% male] agreed that the FibriCheck® app was easy to use (94%). CONCLUSION: Despite different health care settings and mobile health experiences, the TeleCheck-AF approach could be set up within an extremely short time and easily used in different European centres during COVID-19.

Interspecific variations in responses of mangrove seedlings to two contrasting salinities

Abstract: The growth performance of seedlings of seven species of true mangroves (Avicennia marina, A. officinalis, Bruguiera gymnorrhiza, B. sexangula, Rhizophora apiculata, R. mucronata, and Sonneratia caseolaris) in response to two contrasting salinity regimes, low (i.e., 3–5) and medium (i.e., 25–27), was studied. Species represented all categories relevant to vivipary (i.e., true viviparous species, cryptoviviparous species and non-viviparous species), and included closely related pairs as well as species commonly used in replanting in Sri Lanka. Species could be ranked in descending order of salinity tolerance as A. marina > R. mucronata > R. apiculata >B. gymnorrhiza > A. officinalis > B. sexangula > S. caseolaris, hence taxonomically similar species and those sharing vivipary characteristics may be distant in salinity tolerance.