The Protective Role of Group Identity: Sectarian Antisocial Behavior and Adolescent Emotion Problems

The protective role of strength of group identity was examined for youth in a context of protracted political conflict. Participants included 814 adolescents (M_age = 13.61, SD = 1.99 at Time 1) participating in a longitudinal study in Belfast, Northern Ireland. Utilizing hierarchical linear modeling, the results show that the effect of exposure to sectarian antisocial behaviors has a stronger effect on youth emotion problems for older adolescents. The results also show that youth with higher strength of group identity reported fewer emotion problems in the face of sectarian antisocial behavior but that this buffering effect is stronger for Protestants compared to Catholics. Implications are discussed for understanding the role of social identity in postaccord societies.

The effects of the Omagh bomb on adolescent mental health: a school-based study

Background: The main objective of this study was to assess psychiatric morbidity among adolescentsfollowing the Omagh car bombing in Northern Ireland in 1998.

Methods: Data was collected within schools from adolescents aged between 14 and 18 years via a selfcompletionbooklet comprised of established predictors of PTSD; type of exposure, initialemotional response, long-term adverse physical problems, predictors derived from Ehlers andClark’s (2000) cognitive model, a PTSD symptoms measure (PDS) and the General HealthQuestionnaire (GHQ).

Results:Those with more direct physical exposure were significantly more likely to meet caseness onthe GHQ and the PDS. The combined pre and peri trauma risk factors highlighted in previousmeta-analyses accounted for 20% of the variance in PDS scores but the amount of varianceaccounted for increased to 56% when the variables highlighted in Ehlers and Clark’scognitive model for PTSD were added.

Conclusions: High rates of chronic PTSD were observed in adolescents exposed to the bombing. Whilstincreased exposure was associated with increased psychiatric morbidity, the best predictors ofPTSD were specific aspects of the trauma (‘seeing someone you think is dying’), what youare thinking during the event (‘think you are going to die’) and the cognitive mechanismsemployed after the trauma. As these variables are in principle amenable to treatment theresults have implications for teams planning treatment interventions after future traumas.

Peer effects in UK adolescent substance use: Never mind the classmates?

This article estimates peer influences on the alcohol, tobacco and cannabis use of UK adolescents. We present evidence of large, positive and statistically significant peer effects in all three behaviours when classmates are taken as the reference group. We also find large, positive and statistically significant associations between own substance use and friends' substance use. When both reference groups are considered simultaneously, the influence of classmates either disappears or is much reduced, whereas the association between own and friends' behaviours does not change. The suggestion is that classmate behaviour is primarily relevant only inasmuch as it proxies for friends' behaviour.

Preface from the program chairs

Presents the introductory welcome message from the conference proceedings.

cudaMap: a GPU accelerated program for gene expression connectivity mapping

Background: Modern cancer research often involves large datasets and the use of sophisticated statistical techniques. Together these add a heavy computational load to the analysis, which is often coupled with issues surrounding data accessibility. Connectivity mapping is an advanced bioinformatic and computational technique dedicated to therapeutics discovery and drug re-purposing around differential gene expression analysis. On a normal desktop PC, it is common for the connectivity mapping task with a single gene signature to take >2h to complete using sscMap, a popular Java application that runs on standard CPUs (Central Processing Units). Here, we describe new software, cudaMap, which has been implemented using CUDA C/C++ to harness the computational power of NVIDIA GPUs (Graphics Processing Units) to greatly reduce processing times for connectivity mapping.

Results: cudaMap can identify candidate therapeutics from the same signature in just over thirty seconds when using an NVIDIA Tesla C2050 GPU. Results from the analysis of multiple gene signatures, which would previously have taken several days, can now be obtained in as little as 10 minutes, greatly facilitating candidate therapeutics discovery with high throughput. We are able to demonstrate dramatic speed differentials between GPU assisted performance and CPU executions as the computational load increases for high accuracy evaluation of statistical significance.

Conclusion: Emerging 'omics' technologies are constantly increasing the volume of data and information to be processed in all areas of biomedical research. Embracing the multicore functionality of GPUs represents a major avenue of local accelerated computing. cudaMap will make a strong contribution in the discovery of candidate therapeutics by enabling speedy execution of heavy duty connectivity mapping tasks, which are increasingly required in modern cancer research. cudaMap is open source and can be freely downloaded from http://purl.oclc.org/NET/cudaMap.