sMARE: a new paradigm to evaluate and understand query performance prediction methods

Information Retrieval Journal - Query performance prediction (QPP) has been studied extensively in the IR community over the last two decades. A by-product of this research is a methodology to...     

A review of interventions for adolescents with insomnia and the role of the educational and child psychologist: when sleep does not come easily

The role of an educational and child psychologist involves the promotion of mental health and wellbeing. While adolescents who have insomnia are usually referred to Primary Healthcare services, it might be argued that insomnia can be seen as a barometer of psychological wellbeing and should warrant a psychological intervention. A search of PSYCHINFO and Medline revealed that interventions carried out thus far with adolescents who have difficulty initiating and/or maintaining quality sleep include Sleep Hygiene and Sleep Education, Cognitive Behavioural and Multi Component interventions. In this review it will be posited that using multi-modal approaches which are tailored to specific needs may have the most positive outcomes in the treatment of insomnia, by helping adolescents to develop a sense of self-efficacy and emotional regulation in the context of family and peer support. Educational and child psychologists are ideally placed to offer this type of input to adolescents with insomnia.     

Lessons for co-innovation in agricultural innovation systems: a multiple case study analysis and a conceptual model

Purpose: This paper highlights important lessons for co-innovation drawn from three ex-post case study innovation projects implemented within three sub-sectors of the primary industry sector in New Zealand.

Design/methodology/approach: The characteristics that fostered co-innovation in each innovation project case study were identified from semi-structured interviews conducted with key stakeholders in each project, iterative discussions to confirm the findings and secondary document analysis. Common themes from the three cases are examined in relation to innovation system structure and function analysis and agricultural innovation system (AIS) literature. This study builds on the literature attempting to overcome methodological challenges in the applied AIS research space.

Findings: The findings have implications for co-innovation in practice; that there needs to be network-level capability and legitimacy, an understanding of priorities between actors, and adequate resources, to ensure proposed outcomes are likely to be attained.

Practical implications: Practically, project leaders need to ensure they embed an appropriate mix of actors in the research program and they also need to create and encourage room for open and honest dialogue between these actors to develop a shared vision of the future.

Theoretical implications: A conceptual model is developed to highlight and simplify lessons that can inform future projects involving co-innovation approaches to create value in the primary industries and AIS more generally. This model is unique to the applied AIS research space and provides new insights on enhancing the potential value of a co-innovation approach.

Originality/value: The paper adds to current scholarly debates and provides insight to key actions stakeholders need to take to foster co-innovation processes for successful outcomes in extension.     

Do women with smaller breasts perform better in long-distance running?

Literature has established that a range of physiological, biomechanical, and training variables influence marathon performance. The influence of anthropometric characteristics has also received attention. However, despite major marathons exceeding 40,000 participants and approximately a third of these runners being female, no data exist on the influence of the breast on running performance. This cross-sectional study aimed to explore the impact of breast mass on marathon finish time. One hundred and sixty-eight of 321 female marathon runners contacted completed an on-line survey focusing on marathon performance during the 2012 London marathon. Participants were categorised as smaller (<500?g, 54%) or larger breasted (>500?g, 46%). Regression analysis identified that 24% of marathon performance variance could be explained by body mass index (BMI), but breast mass improved the model to explain 28% of performance variation. The model determined that for women with 32/34 or 36/38 underband each increase in cup size equates to a performance decrement of 4.6?min or 8.6 min, equivalent to 34.4?min difference between a woman with 36A compared to 36DD breast size. Larger breasted runners had greater BMIs, completed less marathons and had slower marathon finish times (316?±?48?min) compared to smaller breasted runners (281?±?51?min). Twenty-five per cent less larger breasted women finished in the fastest quartile. These results suggest that differences in breast mass are an important factor for female athletes and should be considered in future research in this area.