Genetic predictors of match performance in sub-elite Australian football players: A pilot study

The current study aimed to determine whether previously identified candidate polymorphisms were associated with match performance in sub-elite Australian Rules Football (ARF) players. The genotypes of thirty players were analysed along with 3x1-kilometre time trial results, ARF-specific skill assessments (handball and kicking), and match performance (direct game involvements) per minute (DGIs/min) to investigate if there was a relationship between any of the variables. Results support previous findings that aerobic time trials are a significant predictor of DGIs/min in sub-elite ARF players. Significant associations were found for genotypes ADRB2 CC (p = .001), PPARGC1A AA (p = .001), PPARGC1A AG (p \u3c .001), ACE ID (p \u3c .001), COMT AA (p = .003), BDNF AG (p = .008), ADRB1 CC (p = .018) and ADRB3 CC (p = .010) and the 3x1-kilometre time trials (p \u3c .001). In the current study, a variant in the DRD2 gene was a strong predictor of handball possessions during a match. Significance was seen for variants in the BDNF and COMTgenes when the kicking and handball skill test results were combined and used in a linear mixed model to predict DGIs/min, suggesting a potential relationship with motor learning. The confirmation of genetic predictors of player performance in a team sport, such as ARF, suggests a portion of the physiological mechanisms of skill and ARF-specific talent may be explained by the expression of a specific number of genes

E-cigarette use among women of reproductive age: Impulsivity, cigarette smoking status, and other risk factors.

INTRODUCTION: The study aim was to examine impulsivity and other risk factors for e-cigarette use among women of reproductive age comparing current daily cigarette smokers to never cigarette smokers. Women of reproductive age are of special interest because of the additional risk that tobacco and nicotine use represents should they become pregnant. METHOD: Survey data were collected anonymously online using Amazon Mechanical Turk in 2014. Participants were 800 women ages 24-44years from the US. Half (n=400) reported current, daily smoking and half (n=400) reported smokingsociodemographics, tobacco/nicotine use, and impulsivity (i.e., delay discounting & Barratt Impulsiveness Scale). Predictors of smoking and e-cigarette use were examined using logistic regression. RESULTS: Daily cigarette smoking was associated with greater impulsivity, lower education, past illegal drug use, and White race/ethnicity. E-cigarette use in the overall sample was associated with being a cigarette smoker and greater education. E-cigarette use among current smokers was associated with increased nicotine dependence and quitting smoking; among never smokers it was associated with greater impulsivity and illegal drug use. E-cigarette use was associated with hookah use, and for never smokers only with use of cigars and other nicotine products. CONCLUSIONS: E-cigarette use among women of reproductive age varies by smoking status, with use among current smokers reflecting attempts to quit smoking whereas among non-smokers use may be a marker of a more impulsive repertoire that includes greater use of alternative tobacco products and illegal drugs

Innovative librarians: Harnessing passion and involvement for library metamorphosis

During 2010 the RMIT University Library formed the 'Innovative Librarians Group' (ILG). The idea for the ILG was conceived from a debrief meeting with the University Librarian and acting Staff Development Librarian for the group's leader on her return from the Aurora leadership course. The ILG combined her interests in shifting the library staff mindset toward innovation and forward thinking, and integrating a technology focus into the library environment

Segmentation analysis of susceptibility to cybercrime: exploring individual differences in information security awareness and personality factors

The present article aimed to explore if susceptibility to cybercrime can be linked to information security awareness and personality factors. A total of 1,054 participants aged between 18 and 84 years took part in an online survey consisting of a recently developed segmentation analysis tool designed to explore an individual’s susceptibility to cybercrime. Alongside this, two other scales measuring information security awareness and the personality trait of impulsivity were also included. In total, 60% of the population surveyed presented as being in the higher risk categories for susceptibility to cybercrime. Furthermore, individuals in the higher risk categories for susceptibility to cybercrime also presented poorer information security awareness, as well as having higher levels of trait impulsivity. It was also noted that certain demographic factors also linked to susceptibility to cybercrime, including age and current employment status, with the unemployed and student populations being less well represented in lower risk categories. This work is seen as being critical while designing effective intervention strategies that are designed to target specific at risk populations, as well as presenting a key tool that could be widely used by organizations to examine risk within their own specific populations

A Critical Analysis of the Theoretical Basis of Ultrasonic Scattering Measurements

There are three elements involved in the backscattering from inhomogeneous media; the scattering properties of a single particle or scattering element, the scattering associated with a group of such particles and the relationship of the scattered wave to the measured signal. Ideally it should be possible to obtain information about the material microstructure from ultrasonic backscattering measurements. However, a number of assumptions and approximations must be made before the problem becomes tractable, and it is the purpose of the present investigation to compare the various approaches available in the literature in an attempt to quantify the errors involved with some of these approximations

Impact of prospective measurement of outflow tracts in the prediction of coarctation of the aorta

Background: Prenatal diagnosis of coarctation of the aorta (COA) is associated with reduced mortality and morbidity, however, accurate prenatal prediction remains challenging. To date, studies have measured the outflow tracts retrospectively to gauge the potential to predict COA. Our primary objective was to evaluate prospectively acquired measurements of the outflow tracts in prenatally suspected COA. A secondary aim was to report the postnatal prevalence of bicuspid aortic valve in this cohort. Methods: Measurement of the aortic valve, pulmonary valve, distal transverse aortic arch (DTAA) and arterial duct (AD) diameters were undertaken routinely in fetuses with suspected COA between 2002–2017. Using published reference ranges based on >7000 fetuses from our own unit, z scores were computed. Results: COA was confirmed after birth in 77/149 (52%) cases. DTAA z score and the z score of DTAA:AD were smaller in cases with confirmed COA compared to false positive (FP) (-2.8 vs -1.9, p=0.039; -3.13 vs -2.61, p=0.005, respectively). Multiple regression analysis demonstrated that z scores of DTAA and AD were the only significant predictors (p=0.001). Bicuspid aortic valve was identified in 30% of the FP group. Conclusion: Measurement of the DTAA and AD z scores can be used to attribute risk for postnatal COA in a selected cohort. The significance of the high incidence of bicuspid aortic valve in FP cases merits further study both with respect to aetiology and longer- term significance

Seasonal abundance of the stable fly <i>Stomoxys calcitrans</i> in south west England

The stable fly Stomoxys calcitrans (L.) is a cosmopolitan biting fly of both economic and welfare concern, primarily as a result of its painful bite, which can cause blood loss, discomfort and loss of productivity in livestock. Between June and November in 2016 and May and December in 2017, Alsynite sticky-traps were deployed at four Donkey Sanctuary sites in southwest England, which experience recurrent seasonal biting fly problems. The aim was to evaluate the seasonal dynamics of the stable fly populations and the risk factors associated with abundance. In total, 19 835 S. calcitrans were trapped during the study period. In both years, abundance increased gradually over summer months, peaking in late August/September. There were no relationships between seasonally detrended abundance and any climatic factors. Fly abundance was significantly different between sites and population size was consistent between years at three of the four sites. The median chronological age, as determined by pteridine analysis of flies caught live when blood-feeding, was 4.67 days (interquartile range 3.8–6.2 days) in males and 6.79 days (interquartile range 4.8–10.4 days) in females; there was no significant, consistent change in age or age structure over time, suggesting that adult flies emerge continuously over the summer, rather than in discrete age-related cohorts. The data suggest that flies are more abundant in the vicinity of active animal facilities, although the strong behavioural association between flies and their hosts means that they are less likely to be caught on traps where host availability is high. The implications of these results for fly management are discussed.</p

Incorporating Animal Movement Into Distance Sampling

Distance sampling is a popular statistical method to estimate the density of wild animal populations. Conventional distance sampling represents animals as fixed points in space that are detected with an unknown probability that depends on the distance between the observer and the animal. Animal movement can cause substantial bias in density estimation. Methods to correct for responsive animal movement exist, but none account for nonresponsive movement independent of the observer. Here, an explicit animal movement model is incorporated into distance sampling, combining distance sampling survey data with animal telemetry data. Detection probability depends on the entire unobserved path the animal travels. The intractable integration over all possible animal paths is approximated by a hidden Markov model. A simulation study shows themethod to be negligibly biased (\u3c5%) in scenarioswhere conventional distance sampling overestimates abundance by up to 100%. The method is applied to line transect surveys (1999– 2006) of spotted dolphins (Stenella attenuata) in the eastern tropical Pacific where abundance is shown to be positively biased by 21% on average, which can have substantial impact on the population dynamics estimated from these abundance estimates and on the choice of statistical methodology applied to future surveys. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement

'Staying safe' – A narrative review of falls prevention in people with Parkinson’s -'PDSAFE'

This is the author accepted manuscript. The final version is available from Taylor & Francis via the DOI in this record.Background: Parkinson's disease demonstrates a spectrum of motor and non-motor symptoms. Falling is common and disabling. Current medical management shows minimal impact to reduce falls, or fall related risk factors such as deficits in gait, strength and postural instability. Despite evidence supporting rehabilitation in reducing fall risk factors, the most appropriate intervention to reduce overall fall rate remains inconclusive. This paper aims to 1) synthesise current evidence and conceptual models of falls rehabilitation in Parkinson's in a narrative review; and based on this evidence 2) introduce the treatment protocol used in the falls prevention, multi-centre clinical trial 'PDSAFE'. Method: Search of four bibliographic databases using the terms ‘Parkinson*’ and ‘Fall*’ combined with each of the following; ‘Rehab*, Balanc*, Strength*, Strateg*and Exercis*' and a framework for narrative review was followed. 3557 papers were identified, 416 were selected for review. The majority report the impact of rehabilitation on isolated fall risk factors. Twelve directly measure the impact on overall fall rate. Discussion: Results were used to construct a narrative review with conceptual discussion based on the 'International Classification of Functioning’, leading to presentation of the 'PDSAFE' intervention protocol. Conclusion: Evidence suggests training single, fall risk factors may not affect overall fall rate. Combining with behavioural and strategy training in a functional, personalised multi-dimensional model, addressing all components of the ‘International Classification of Functioning’ is likely to provide a greater influence on falls reduction. 'PDSAFE' is a multi-dimensional, physiotherapist delivered, individually tailored, progressive, home-based programme. It is designed with a strong evidence based approach and illustrates a model for the clinical delivery of the conceptual theory discussed.This project was funded by the National Institute for Health Research Health Technologies Assessment programme (project number 10/57/21). VG is supported by the National Institute of Health Research Collaboration for Applied Health Research and Care South West Peninsula.

Inspection of surface strain in materials using dense displacement fields

We have developed high density image processing techniques for finding the surface strain of an unprepared sample of material from a sequence of images taken during the application of force from a test rig. Not all motion detection algorithms have suitable functional characteristics for this task, as image sequences are characterised by both short- and long-range displacements, non-rigid deformations, as well as a low signal-to-noise ratio and methodological artefacts. We show how a probability-based motion detection algorithm can be used as a high confidence estimator of the strain tensor characterising the deformation of the material. An important issue discussed is how to minimise the number of image brightness differences that need to be calculated. We give results from three studies: mild steel under axial tension, the formation of kink bands in compressed carbon-fibre composite, and non-homogeneous strain fields in a welded aluminium alloy. Because the algorithm offers increased accuracy near motion contrast boundaries, its application has resulted in new mesomechanical observations