Showing papers by "Edinburgh Napier University published in 2016"

Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

Abstract: In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. For example, a key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process versus those that measure flux through the autophagy pathway (i.e., the complete process including the amount and rate of cargo sequestered and degraded). In particular, a block in macroautophagy that results in autophagosome accumulation must be differentiated from stimuli that increase autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. It is worth emphasizing here that lysosomal digestion is a stage of autophagy and evaluating its competence is a crucial part of the evaluation of autophagic flux, or complete autophagy. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. Along these lines, because of the potential for pleiotropic effects due to blocking autophagy through genetic manipulation, it is imperative to target by gene knockout or RNA interference more than one autophagy-related protein. In addition, some individual Atg proteins, or groups of proteins, are involved in other cellular pathways implying that not all Atg proteins can be used as a specific marker for an autophagic process. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular assays, we hope to encourage technical innovation in the field.

Review on recent trend of solar photovoltaic technology

Abstract: Solar photovoltaic technology is one of the renewable technologies, which has a potential to shape a clean, reliable, scalable and affordable electricity system for the future. This article provides a comprehensive review of solar photovoltaic technology in terms of photovoltaic materials efficiency and globally leading countries. Based on past years review and photovoltaic installations in the year 2014, the major five leading countries identified are China, Japan, USA, Germany and UK. These five countries altogether accounted for 80% of photovoltaic installations in 2014. The article also discusses the driving policies, funding and Research and Development activities: to gauge the reasons behind the success of the leading countries. Finally, this article reviews the photovoltaic cost analysis in terms of the photovoltaic module cost, balance of system cost and project cost with the help of listed 98 globally installed projects.

Human Resource Development in SMEs: A Systematic Review of the Literature

Abstract: Human Resource Development (HRD) in small and medium-sized enterprises (SMEs) is a significant area of scholarship. However, the cumulativeness of research on HRD in SMEs remains relatively low when compared to HRD generally. This paper reports a systematic literature review (SLR) to synthesise research in this area. A disciplined screening process resulted in a final sample of 117 papers published in 31 journals from 1995 to 2014. The synthesis of these empirical and theoretical studies revealed that: (a) the literature utilises a narrow range of theoretical and conceptual perspectives; (b) HRD is being investigated across a variety of SME contexts, themes and units of analysis; (c) researchers define HRD in multiple ways and use a diverse set of measures of HRD activity; (d) there is significant potential for future research across the SME and HRD disciplines, SME settings and beyond existing theoretical perspectives. We offer suggestions for further advancing the development of this area of research in terms of theory, content and methodology.

A speculative approach to spatial-temporal efficiency with multi-objective optimization in a heterogeneous cloud environment

Abstract: A heterogeneous cloud system, for example, a Hadoop 2.6.0 platform, provides distributed but cohesive services with rich features on large-scale management, reliability, and error tolerance. As big data processing is concerned, newly built cloud clusters meet the challenges of performance optimization focusing on faster task execution and more efficient usage of computing resources. Presently proposed approaches concentrate on temporal improvement, that is, shortening MapReduce time, but seldom focus on storage occupation; however, unbalanced cloud storage strategies could exhaust those nodes with heavy MapReduce cycles and further challenge the security and stability of the entire cluster. In this paper, an adaptive method is presented aiming at spatial-temporal efficiency in a heterogeneous cloud environment. A prediction model based on an optimized Kernel-based Extreme Learning Machine algorithm is proposed for faster forecast of job execution duration and space occupation, which consequently facilitates the process of task scheduling through a multi-objective algorithm called time and space optimized NSGA-II TS-NSGA-II. Experiment results have shown that compared with the original load-balancing scheme, our approach can save approximate 47-55i¾źs averagely on each task execution. Simultaneously, 1.254i¾ź of differences on hard disk occupation were made among all scheduled reducers, which achieves 26.6% improvement over the original scheme. Copyright © 2016 John Wiley & Sons, Ltd.

Employer demands from business graduates

Abstract: Purpose – The purpose of this paper is to report on research carried out with employers to determine demand for business and management skills in the Scottish workforce. Design/methodology/approach – The research used a questionnaire in which employers were interviewed (either telephone or face to face), completed themselves and returned by e-mail, or completed an online survey. In total, 71 employers took part in the study. Findings – The research found that the factors which are most important to employers when recruiting graduates were; personal attitude, employability skills, relevant work experience and degree result. The most important transferable skills to employers when recruiting graduates were; trustworthiness, reliability, motivation, communication skills and a willingness to learn. Social implications – The paper shows the importance of graduates developing excellent job searching skills, high-quality work experience and developing business courses to enhance students’ employability and bette...

Match-to-match variability in high-speed running activity in a professional soccer team

Abstract: This study investigated variability in competitive high-speed running performance in an elite soccer team. A semi-automated tracking system quantified running performance in 12 players over a season (median 17 matches per player, 207 observations). Variability [coefficient of variation (CV)] was compared for total sprint distance (TSD, >25.2 km/h), high-speed running (HSR, 19.8–25.2 km/h), total high-speed running (THSR, ≥19.8 km/h); THSR when the team was in and out of ball possession, in individual ball possession, in the peak 5 min activity period; and distance run according to individual maximal aerobic speed (MAS). Variability for % declines in THSR and distance covered at ≥80% MAS across halves, at the end of play (final 15 min vs. mean for all 15 min periods) and transiently (5 min period following peak 5 min activity period), was analysed. Collectively, variability was higher for TSD versus HSR and THSR and lowest for distance run at ≥80% MAS (CVs: 37.1%, 18.1%, 19.8% and 11.8%). THSR CVs ...

Architecting the Internet of Things: State of the Art

Abstract: Internet of things (IoT) constitutes one of the most important technological development in the last decade. It has the potential to deeply affect our life style. However, its success relies greatly on a well-defined architecture that will provide scalable, dynamic, and secure basement to its deployment. In fact, several challenges stand between the conceptual idea of IoT, and the full deployment of its applications into our daily life. IoT deployment is closely related to the establishment of a standard architecture. This architecture should support future extensions, and covers IoT characteristics such as distributivity, interoperability, and scalability. A well defined, scalable, backward compatible, and secure architecture is required to bring the IoT concept closer to reality. In the literature, several architectures have been proposed. Nevertheless, each architecture brings a share of drawbacks, and fails covering all IoT characteristics. In this chapter, we review the main proposed architectures for the Internet of Things, highlighting their adequacy with respect to IoT requirements. Firstly, we present IoT building blocks. Then, we introduce the high level architecture of IoT before diving into the details of each proposed architecture. In addition, we introduce a classification of the reviewed architectures based on their technical aspects, and their ability to match IoT characteristics. Finally, based on the main shortcomings of the proposed architectures, we conclude with some design ideas for shaping the future IoT.

Measuring relationships between self‐compassion, compassion fatigue, burnout and well‐being in student counsellors and student cognitive behavioural psychotherapists: a quantitative survey

Abstract: Background: Prolonged deficiency in self-care strategies puts counsellors and psychotherapists at risk of burnout and compassion fatigue. Aim: To measure associations between self-compassion, compassion fatigue, wellbeing and burnout in student counsellors and student cognitive behavioural psychotherapists. Method: A quantitative survey using four validated data collection instruments: (1) Professional Quality of Life Scale; (2) Self-Compassion Scale; (3) short Warwick and Edinburgh Mental Well-being Scale; (4) Compassion For Others scale, was used to measure relationships between self-compassion, compassion fatigue, well-being and burnout. Participants: A mixed sample of student counsellors and student cognitive behavioural psychotherapists (n = 54) in their final year of study. Results: This preliminary study shows that student counsellors and student cognitive behavioural psychotherapists who reported high on measures of self-compassion and well-being also reported less compassion fatigue and burnout. Implications for practice: Compassion fatigue and burnout are found in many modern-day, highly stressful healthcare professions. The practice of self-compassion could help student practitioners manage these symptoms and subsequently improve their professional quality of life.

Life-history, movement, and habitat use of Scylla serrata (Decapoda, Portunidae): current knowledge and future challenges

Abstract: The mud crab Scylla serrata is a highly exploited species, associated to mangrove ecosystems in the Indo-West-Pacific. It has a complex life cycle with a dispersing larvae phase, and benthic juveniles and adults. The former are stenohaline depending on high-salinity conditions to survive, whereas the latter are physiologically well adapted to changing temperatures and salinities, conditions that typically occur in mangrove habitats. Movement and habitat use of large juveniles and adults are well studied, and these life stages are known to utilize and move between various habitats within the mangrove ecosystem: intertidal flats as well as subtidal channels and flats. Females undertake long movements from brackish inshore waters to waters with oceanic conditions for spawning. Sensory abilities—of early stages and adult stages—have hardly been studied, and little is known about larval and early benthic stages in the wild. Summarizing, the literature revealed substantial gaps in the understanding of the spatiotemporal dynamics of the different life stages and of the clues that trigger recruitment, movement, and other behavior. This is the first comprehensive review on the life history, movement patterns, habitat use, and systemic role of S. serrata with emphasis on the respective life stages and geographic differences. We emphasize the need for further research into these processes as a basis for the sustainable management and conservation of this species.

The impact of short periods of match congestion on injury risk and patterns in an elite football club

Abstract: Background The effect of fixture congestion on injury rates and patterns has received scarce attention in elite football and existing investigations have not accounted for player rotation or examined the temporal distribution and potential cause of injuries. Aim To prospectively investigate the epidemiology of injury during short periods of fixture congestion in a professional football club. Methods Over a six-season period, exposure time and injury data were compared in the same players (n=25 (14 individuals)) when participating in two frequently occurring short congested fixture cycles in comparison to match-play outside these cycles. (1) two successive matches separated by an interval totalling ≤3 days calculated immediately from the end of play in match 1 to the beginning of play in match 2; (2) three successive matches separated by ≤4-day intervals starting the day immediately after each match. Results In two-match congestion cycles, incidence rate ratios (IRR) showed that there was a higher risk of injury in the final 15 min of play in the second match in comparison to match-play outside the cycles (IRR: 3.1 (95% CI 1.1 to 9.3), p=0.0400). A greater risk of injury overall (IRR: 2.0 (95% CI 1.1 to 3.8), p=0.0345) and in the first-half of play (2.6 (1.1 to 6,5), p=0.0386), and risk of ankle sprains (10.4 (95% CI 1.9 to 57.9), p=0.0068) and non-contact injuries due to a ‘change in direction’ (IRR: 7.8 (1.3 to 46.8), p=0.0243) were observed in the final match of three-match congestion cycles in comparison to match-play outside the cycles. Conclusions Injury rates and patterns were affected in the same elite football players when competing in short congested fixture cycles in comparison to match-play outside the cycles.

Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings

Abstract: We address the problem of denoising Monte Carlo renderings by studying existing approaches and proposing a new algorithm that yields state-of-the-art performance on a wide range of scenes. We analyze existing approaches from a theoretical and empirical point of view, relating the strengths and limitations of their corresponding components with an emphasis on production requirements. The observations of our analysis instruct the design of our new filter that offers high-quality results and stable performance. A key observation of our analysis is that using auxiliary buffers normal, albedo, etc. to compute the regression weights greatly improves the robustness of zero-order models, but can be detrimental to first-order models. Consequently, our filter performs a first-order regression leveraging a rich set of auxiliary buffers only when fitting the data, and, unlike recent works, considers the pixel color alone when computing the regression weights. We further improve the quality of our output by using a collaborative denoising scheme. Lastly, we introduce a general mean squared error estimator, which can handle the collaborative nature of our filter and its nonlinear weights, to automatically set the bandwidth of our regression kernel.

Telling Stories about Dynamic Networks with Graph Comics

Abstract: In this paper, we explore graph comics as a medium to communicate changes in dynamic networks. While previous re- search has focused on visualizing dynamic networks for data exploration, we want to see if we can take advantage of the visual expressiveness and familiarity of comics to present and explain temporal changes in networks to an audience. To understand the potential of comics as a storytelling medium, we first created a variety of comics during a 3 month structured design process, involving domain experts from public education and neuroscience. This process led to the definition of 8 design factors for creating graph comics and propose design solutions for each. Results from a qualitative study suggest that a general audience is quickly able understand complex temporal changes through graph comics, provided with minimal textual annotations and no training.

Supported Telemonitoring and Glycemic Control in People with Type 2 Diabetes: The Telescot Diabetes Pragmatic Multicenter Randomized Controlled Trial

Abstract: Background Self-monitoring of blood glucose among people with type 2 diabetes not treated with insulin does not appear to be effective in improving glycemic control. We investigated whether health professional review of telemetrically transmitted self-monitored glucose results in improved glycemic control in people with poorly controlled type 2 diabetes. Methods and Findings We performed a randomized, parallel, investigator-blind controlled trial with centralized randomization in family practices in four regions of the United Kingdom among 321 people with type 2 diabetes and glycated hemoglobin (HbA1c) >58 mmol/mol. The supported telemonitoring intervention involved self-measurement and transmission to a secure website of twice-weekly morning and evening glucose for review by family practice clinicians who were not blinded to allocation group. The control group received usual care, with at least annual review and more frequent reviews for people with poor glycemic or blood pressure control. HbA1c assessed at 9 mo was the primary outcome. Intention-to-treat analyses were performed. 160 people were randomized to the intervention group and 161 to the usual care group between June 6, 2011, and July 19, 2013. HbA1c data at follow-up were available for 146 people in the intervention group and 139 people in the control group. The mean (SD) HbA1c at follow-up was 63.0 (15.5) mmol/mol in the intervention group and 67.8 (14.7) mmol/mol in the usual care group. For primary analysis, adjusted mean HbA1c was 5.60 mmol/mol / 0.51% lower (95% CI 2.38 to 8.81 mmol/mol/ 95% CI 0.22% to 0.81%, p = 0·0007). For secondary analyses, adjusted mean ambulatory systolic blood pressure was 3.06 mmHg lower (95% CI 0.56–5.56 mmHg, p = 0.017) and mean ambulatory diastolic blood pressure was 2.17 mmHg lower (95% CI 0.62–3.72, p = 0.006) among people in the intervention group when compared with usual care after adjustment for baseline differences and minimization strata. No significant differences were identified between groups in weight, treatment pattern, adherence to medication, or quality of life in secondary analyses. There were few adverse events and these were equally distributed between the intervention and control groups. In secondary analysis, there was a greater number of telephone calls between practice nurses and patients in the intervention compared with control group (rate ratio 7.50 (95% CI 4.45–12.65, p < 0.0001) but no other significant differences between groups in use of health services were identified between groups. Key limitations include potential lack of representativeness of trial participants, inability to blind participants and health professionals, and uncertainty about the mechanism, the duration of the effect, and the optimal length of the intervention. Conclusions Supported telemonitoring resulted in clinically important improvements in control of glycaemia in patients with type 2 diabetes in family practice. Current Controlled Trials, registration number ISRCTN71674628. Trial Registration Current Controlled Trials ISRCTN 71674628

Screening for atrial fibrillation during influenza vaccinations by primary care nurses using a smartphone electrocardiograph (iECG): A feasibility study

Abstract: BackgroundPeople with unknown atrial fibrillation (AF), who are often asymptomatic, have a substantially increased risk of stroke Although recommended in European guidelines, AF screening is not r

Diversity Training Programme Outcomes: A Systematic Review

Abstract: The purpose of this paper is to analyze current scholarship on diversity training outcomes utilizing a systematic literature review (SLR) and provide insights for future research. The article advances our understanding of diversity training outcomes through the integration of three perspectives: the business case, learning and social justice perspectives. The SLR revealed: (a) a literature that is fragmented and diverse in terms of publication outlets; (b) researchers conduct diversity training outcomes research in a diverse range or organizations, sectors, cultural and training contexts; (c) studies primarily reflect the business case or learning perspectives and (d) existing studies have significant methodological limitations. We argue the need for future research to adopt multiple perspectives ensure better cross fertilization of perspectives and make use of more sophisticated methodologies.

Using social media content for screening in recruitment and selection: pros and cons:

Abstract: The article considers the arguments that have been made in defence of social media screening as well as issues that arise and may effectively erode the reliability and utility of such data for employers. First, the authors consider existing legal frameworks and guidelines that are present in the UK and the USA, as well as the subsequent ethical concerns that arise when employers access and use social networking content for employment purposes. Second, several arguments in favour of the use of social networking content are made, each of which is considered from several angles, including concerns about impression management, bias and discrimination, data protection and security. Ultimately, the current state of knowledge does not provide a definite answer as to whether information from social networks is helpful in recruitment and selection.

AmbiGaze: Direct Control of Ambient Devices by Gaze

Abstract: Eye tracking offers many opportunities for direct device control in smart environments, but issues such as the need for calibration and the Midas touch problem make it impractical. In this paper, we propose AmbiGaze, a smart environment that employs the animation of targets to provide users with direct control of devices by gaze only through smooth pursuit tracking. We propose a design space of means of exposing functionality through movement and illustrate the concept through four prototypes. We evaluated the system in a user study and found that AmbiGaze enables robust gaze-only interaction with many devices, from multiple positions in the environment, in a spontaneous and comfortable manner.

The antecedents of leadership development practices in SMEs: The influence of HRM strategy and practice

Abstract: This article explores leadership development in small- and medium-sized enterprises (SMEs). We investigate determinants of the adoption of leadership development practices in established SMEs expecting human resource management (HRM)-strategy fit, human resource (HR)/leadership expertise and the existence of gaps in leadership capability to influence both the presence and intensity of leadership development practices. We found that all three variables positively related to both measures of adoption. The attitudes of owner-managers towards development mediated the HRM-strategy fit–adoption relationship. The theory and practice implications of our findings are evaluated.

A hyper-heuristic ensemble method for static job-shop scheduling

Abstract: We describe a new hyper-heuristic method NELLI-GP for solving job-shop scheduling problems JSSP that evolves an ensemble of heuristics. The ensemble adopts a divide-and-conquer approach in which each heuristic solves a unique subset of the instance set considered. NELLI-GP extends an existing ensemble method called NELLI by introducing a novel heuristic generator that evolves heuristics composed of linear sequences of dispatching rules: each rule is represented using a tree structure and is itself evolved. Following a training period, the ensemble is shown to outperform both existing dispatching rules and a standard genetic programming algorithm on a large set of new test instances. In addition, it obtains superior results on a set of 210 benchmark problems from the literature when compared to two state-of-the-art hyper-heuristic approaches. Further analysis of the relationship between heuristics in the evolved ensemble and the instances each solves provides new insights into features that might describe similar instances.

[INVITED] Developments in optical fibre sensors for industrial applications

Abstract: It can be seen that optical fibre sensing technology has huge potential to address industrial applications. They offer various advantages over the conventional electrical systems and are increasingly becoming cost effective. Different types of fibre structure and configurations can be utilised to tailor specific applications. The paper aims to highlight the developments in optical fibre sensors for industrial applications.

STF-RNN: Space Time Features-based Recurrent Neural Network for predicting people next location

Abstract: This paper proposes a novel model called Space Time Features-based Recurrent Neural Network (STF-RNN) for predicting people next movement based on mobility patterns obtained from GPS devices logs. Two main features are involved in model operations, namely, the space which is extracted from the collected GPS data and also the time which is extracted from the associated timestamps. The internal representation of space and time features is extracted automatically in the proposed model rather than relying on handcraft representation. This enables the model to discover the useful knowledge about people behaviour in more efficient way. Due to the ability of RNN structure to represent the sequences, it is utilized in the proposed model in order to keep track of user movement history. These tracks help the model to discover more meaningful dependencies and as consequence, enhancing the model performance. The results show that STF-RNN model provides good improvements in predicting people's next location compared with the state-of-the-art models when applied on a large real life dataset from Geo-life project.

Application of Mixed Effects Limits of Agreement in the Presence of Multiple Sources of Variability: Exemplar from the Comparison of Several Devices to Measure Respiratory Rate in COPD Patients.

Abstract: Introduction The Bland-Altman limits of agreement method is widely used to assess how well the measurements produced by two raters, devices or systems agree with each other. However, mixed effects versions of the method which take into account multiple sources of variability are less well described in the literature. We address the practical challenges of applying mixed effects limits of agreement to the comparison of several devices to measure respiratory rate in patients with chronic obstructive pulmonary disease (COPD). Methods Respiratory rate was measured in 21 people with a range of severity of COPD. Participants were asked to perform eleven different activities representative of daily life during a laboratory-based standardised protocol of 57 minutes. A mixed effects limits of agreement method was used to assess the agreement of five commercially available monitors (Camera, Photoplethysmography (PPG), Impedance, Accelerometer, and Chest-band) with the current gold standard device for measuring respiratory rate. Results Results produced using mixed effects limits of agreement were compared to results from a fixed effects method based on analysis of variance (ANOVA) and were found to be similar. The Accelerometer and Chest-band devices produced the narrowest limits of agreement (-8.63 to 4.27 and -9.99 to 6.80 respectively) with mean bias -2.18 and -1.60 breaths per minute. These devices also had the lowest within-participant and overall standard deviations (3.23 and 3.29 for Accelerometer and 4.17 and 4.28 for Chest-band respectively). Conclusions The mixed effects limits of agreement analysis enabled us to answer the question of which devices showed the strongest agreement with the gold standard device with respect to measuring respiratory rates. In particular, the estimated within-participant and overall standard deviations of the differences, which are easily obtainable from the mixed effects model results, gave a clear indication that the Accelerometer and Chest-band devices performed best.

Strength grading of sawn timber in Europe: an explanation for engineers and researchers

Abstract: This paper is a concise explanation of the normative background to strength grading in Europe, addressing important aspects that are commonly misunderstood by structural engineers and timber researchers. It also highlights changes that are being made to the standards to: incorporate requirements of the construction products regulations; add improvements to the system to accommodate the latest knowledge and technology; and widen the application of the standards. Where designs need to be optimised, there is an opportunity to use the system more intelligently, in combination with the latest technology, to better fit design values to the true properties of the timber resource. This can bring a design enhancement equivalent to effort improving other aspects of the structure, such as connectors and reinforcement. Parallel to this, researchers working on other aspects of structural improvement need to understand what grades really mean in respect of the properties of the timber, in order to correctly analyse the results of testing. It is also useful to know how techniques used in grading can assist with material properties characterisation for research. The amount of destructive testing involved in establishing machine grading settings and visual grading assignments presents a barrier to greater use of local timber, and diversification of commercial species, so it is important that any researcher assessing the properties of such species should consider, from the outset, doing the research in a way that can contribute to a grading dataset at a later date. This paper provides an overview of what is required for this.