Does the Good Schools Toolkit Reduce Physical, Sexual and Emotional Violence, and Injuries, in Girls and Boys equally? A Cluster-Randomised Controlled Trial.

We aimed to investigate whether the Good School Toolkit reduced emotional violence, severe physical violence, sexual violence and injuries from school staff to students, as well as emotional, physical and sexual violence between peers, in Ugandan primary schools. We performed a two-arm cluster randomised controlled trial with parallel assignment. Forty-two schools in one district were allocated to intervention (n = 21) or wait-list control (n = 21) arms in 2012. We did cross-sectional baseline and endline surveys in 2012 and 2014, and the Good School Toolkit intervention was implemented for 18 months between surveys. Analyses were by intention to treat and are adjusted for clustering within schools and for baseline school-level proportions of outcomes. The Toolkit was associated with an overall reduction in any form of violence from staff and/or peers in the past week towards both male (aOR = 0.34, 95%CI 0.22-0.53) and female students (aOR = 0.55, 95%CI 0.36-0.84). Injuries as a result of violence from school staff were also lower in male (aOR = 0.36, 95%CI 0.20-0.65) and female students (aOR = 0.51, 95%CI 0.29-0.90). Although the Toolkit seems to be effective at reducing violence in both sexes, there is some suggestion that the Toolkit may have stronger effects in boys than girls. The Toolkit is a promising intervention to reduce a wide range of different forms of violence from school staff and between peers in schools, and should be urgently considered for scale-up. Further research is needed to investigate how the intervention could engage more successfully with girls

Tweens' expression of self-concept through the symbolic consumption of brands

This paper looks at tweens' expression of self-concept through the symbolic consumption of brand

Student and Lecturer Partnership: Using visual research to change and address a practice problem

This paper reports upon a research study which was conducted in partnership between academics and a (then) student, as part of a University internally funded study. This partnership approach was taken to actively engage a student within additional Faculty activities, seeking to enhance student engagement with pedagogical research. The student, a current pre-registration nursing student (Elanor) had undertaken a placement with the Joanna Briggs Institute as part of her educational programme and this project enabled her to further the emerging interest in nursing research. Both academics were studying for doctorates and thus were beginning their research career and used the award of this project to enhance their research awareness and practice. This paper offers a short insight into the journey of the research, from planning, to completion and through to dissemination

Comparison of Near-infrared Spectroscopy with other options for total carotenoids content phenotyping in fresh cassava roots

This study compared the relationship of different phenotyping methods including iCheckTM CAROTENE (iCheck), Chromameter, colour chart and visible/near-infrared spectroscopy (Vis/NIRS) used in quantifying total carotenoids content (TCC) in fresh cassava roots. Using a total of 194 cassava clones harvested from the International Institute of Tropical Agriculture (IITA), Ibadan, we compared the repeatability precision, accuracy of measurement and correlations of these phenotyping methods. From the results, Vis/NIRS-analyzed TCC had high and positive correlations with Chromameter and Color chart (r = 0.91 and 0.71, respectively). On the other hand, the result revealed somewhat moderate correlation (r = 0.67) between Vis/NIRS and iCheck measurements. Vis/NIRS, iCheck and chromameter methods gave high and nearly equal heritability estimates (0.95, 0.98 and 0.98, respectively) illustrating high repeatability precision of these methods; an indication that they can be used for germplasm selection in the early stages of breeding. Conversely, with Bland-Altman plot at 95% confidence level, the accuracy of iCheck was not comparable with that of Vis/ NIRS. The information derived from this analysis directly contributes towards the genetic improvement of root quality traits in cassava and facilitates the sharing of data across cassava breeding consortium

Blood-brain barrier water exchange measurements using FEXI: Impact of modeling paradigm and relaxation time effects

PURPOSE: To evaluate potential modeling paradigms and the impact of relaxation time effects on human blood-brain barrier (BBB) water exchange measurements using FEXI (BBB-FEXI), and to quantify the accuracy, precision, and repeatability of BBB-FEXI exchange rate estimates at 3 T. METHODS: Three modeling paradigms were evaluated: (i) the apparent exchange rate (AXR) model; (ii) a two-compartment model (2CM) explicitly representing intra- and extravascular signal components, and (iii) a two-compartment model additionally accounting for finite compartmental T1 and T2 relaxation times (2CMr). Each model had three free parameters. Simulations quantified biases introduced by the assumption of infinite relaxation times in the AXR and 2CM models, as well as the accuracy and precision of all three models. The scan–rescan repeatability of all paradigms was quantified for the first time in vivo in 10 healthy volunteers (age range 23–52 years; five female) RESULTS: The assumption of infinite relaxation times yielded exchange rate errors in simulations up to 42%/14% in the AXR/2CM models, respectively. Accuracy was highest in the compartmental models; precision was best in the AXR model. Scan–rescan repeatability in vivo was good for all models, with negligible bias and repeatability coefficients in grey matter of RCAXR = 0.43 s −1, RC2CM = 0.51 s −1, and RC2CMr = 0.61 s −1. CONCLUSION: Compartmental modelling of BBB-FEXI signals can provide accurate and repeatable measurements of BBB water exchange; however, relaxation time and partial volume effects may cause model-dependent biases