What Went Wrong With the Mate-Tricks After-School Program, Which Increased Antisocial Behavior and Child/Parent Conflict?

This paper draws from an independent RCT evaluation on a behavior based afterschool intervention for called Mate-Tricks for 9-10 year old children and their families (N=592). This paper explores practical and theoretical issues that may have contributed to a range of iatrogenic effects found by the evaluation. To do this the paper focuses on key practical implementation factors such as: program exposure; engagement; and program quality. The paper also relates these results to popular theories of social development, including social interdependence theory. Finally, the paper discusses what the results suggest about the impact of cooperative/competitive goal structures in child and parent interventions of this type.

Meta-analysis of the influence of experimental design on effect size in peer tutoring outcomes in elementary, middle and high school settings.

A meta-analysis was undertaken on a form of cooperative learning, peer tutoring. The effects of experimental design on outcomes were explored, as measured by Effect Size (ES). 185 studies were included in the meta-analysis. Highest ES were reported for quasi-experimental studies. ES reduced as experimental design moved from single pre-test factor matched, to multiple-factor matched randomized controlled trials. ES reduced when designs used standardised, rather than self-designed measures, The implications for future meta-analyses and research in cooperative learning are explored.

Man-up Against Suicide

Male suicide rates are high in Western countries including the US and Canada. Underpinned by men’s resistance to health help-seeking and challenges diagnosing mental illness including male depression, suicide ends the lives of many men amid inflicting pain and grief on the family and friends who are left behind. Fuelled by the discordant relationship between men’s low rates of depression and high rates of suicide we embarked on a unique and novel photovoice study title Man-Up Against Suicide. Specifically, men who have contemplated suicide in the past, and individuals (men and women) who have lost a male partner, family member or friend to suicide were invited to take photographs representing their experiences with men’s suicide with the ultimate goal of messaging ‘at risk’ men that there are alternatives to taking one’s life. Participants subsequently completed semi-structured individual interviews narrating the photographs and providing captions to accompany their selected images. In this presentation we share the preliminary study findings along with some participant photographs and narratives as a means to discussing; 1) men’s experiences of suicidal behaviours and their management strategies; and, 2) how men’s and women’s experiences of losing a male to suicide can de-stigmatize men’s mental illness and raise public awareness about male suicide.

Legislating for political gender quotas in Ireland

In July 2012, legislation on political party funding and candidate gender quotas was enacted by the Irish Parliament. The Electoral (Amendment) (Political Funding) Act 2012 provides for a 30% gender quota for party candidates at the next general election, rising to 40% seven years thereafter. Non-compliant parties will lose half of their annual state funding. Informed by insights from feminist institutionalism, this paper will consider the question: why did Irish political parties, who have always been so reluctant to tackle the question of women’s under-representation, suddenly do a volte-face and introduce such a radical measure as legislative gender quotas? In answering this question, we argue that the political reform discourse that emerged following the recent Irish economic crisis was a significant factor in the adoption of legislative gender quotas in the Republic of Ireland. It signified, and made visible, the divergence between politicians and the public on the issue in a context where political representatives were under question, and political institutions being criticised, for ineffective political management. We contend that Ireland is an example of how apparently enduring and immutable gender norms can be overcome. We suggest that feminist institutionalism enables an unpacking of the messy complexities of institutional resistance to change and reveals the power of informal institutions to shape outcomes leading to a major formal rule change.

Biosensor based toxicity dissection of tannery and associated environmental samples

Kenyan tannery and associated environmental samples were selected for ecotoxicological assessment. A tool-kit of techniques was developed, including whole-cell biosensor and chemical assays. A luminescence based bacterial biosensor (Escherichia coli HB101 pUCD607) (via a multi-copy plasmid) was used for toxicity assessment. Samples were manipulated prior to biosensor interrogation to identify the nature of the toxic contaminants. Untreated samples (before any manipulations) showed a strong toxic effect at the discharge point in comparison to other sampling points. Sparging was used to identify toxicity associated with volatile organics. The toxicity of contaminants, removed by treatment with activated charcoal was identified for all the sampling points except for those upstream of effluent discharges. Filtration identified toxicity associated with suspended solids. Changes in availability of toxic contaminants due to pH adjustment of most samples from the tannery effluent treatment pits were also associated with the extreme pH values (4.0 and 8.0). The approach used has highlighted the complexicity of toxic pollutants in effluent from the tanning industry and the dissection of toxicity points to possible remediation strategies for effluents from the tanning industry.

PageRank in Malware Categorization

In this paper, we propose a malware categorization method that models malware behavior in terms of instructions using PageRank. PageRank computes ranks of web pages based on structural information and can also compute ranks of instructions that represent the structural information of the instructions in malware analysis methods. Our malware categorization method uses the computed ranks as features in machine learning algorithms. In the evaluation, we compare the effectiveness of different PageRank algorithms and also investigate bagging and boosting algorithms to improve the categorization accuracy.