Negotiating their right to play: Asian-specific cricket teams and leagues in the UK and Norway

The cultural significance of ‘ethnic-specific’ cricket teams and leagues has received limited scholarly attention, despite increasing evidence of their various social functions. This paper aims to contribute to this under-researched area by drawing upon two individual case studies of Pakistani Muslim cricket teams; the first is based in the UK and the second in Norway. In this paper we argue that leisure and sport are key spaces for the delineation of social identities and hierarchies. We identify how cricket represents a significant social network within both the British and Norwegian Pakistani communities. In particular, we articulate the role of cricket in establishing and maintaining friendships and relationships, bolstering a sense of belonging, initiating diasporic sentiments, as well as being significant in the development of social capital, and resisting institutionalised white privilege

Out-of-hospital Cardiac Arrest across the World: First Report from the International Liaison Committee on Resuscitation (ILCOR)

Background Since development of the Utstein style recommendations for the uniform reporting of cardiac arrest, increasing numbers of national and regional out-of-hospital cardiac arrest (OHCA) registries have been established worldwide. The International Liaison Committee on Resuscitation (ILCOR) created the Research and Registries Working Group and aimed to systematically report data collected from these registries. Methods We conducted two surveys of voluntarily participating national and regional registries. The first survey aimed to identify which core elements of the current Utstein style for OHCA were collected by each registry. The second survey collected descriptive summary data from each registry. We chose the data collected for the second survey based on the availability of core elements identified by the first survey. Results Seven national and four regional registries were included in the first survey and nine national and seven regional registries in the second survey. The estimated annual incidence of emergency medical services (EMS)-treated OHCA was 30.0 to 97.1 individuals per 100,000 population. The combined data showed the median age varied from 64 to 79 years and more than half were male in all 16 registries. The provision of bystander cardiopulmonary resuscitation (CPR) and bystander automated external defibrillator (AED) use was 19.1% to 79.0% in all registries and 2.0% to 37.4% among 11 registries, respectively. Survival to hospital discharge or 30-day survival after EMS-treated OHCA was 3.1% to 20.4% across all registries. Favourable neurological outcome at hospital discharge or 30 days after EMS-treated OHCA was 2.8% to 18.2%. Survival to hospital discharge or 30-day survival after bystander witnessed shockable OHCA ranged from 11.7% to 47.4% and favourable neurological outcome from 9.9% to 33.3%. Conclusion This report from ILCOR describes data on systems of care and outcomes following OHCA from nine national and seven regional registries across the world. We found variation in reported survival outcomes and other core elements of the current Utstein style recommendations for OHCA across nations and regions.Peer reviewe

Creating spatially continuous maps of past land cover from point estimates: A new statistical approach applied to pollen data

International audienceReliable estimates of past land cover are critical for assessing potential effects of anthropogenic land-cover changes on past earth surface-climate feedbacks and landscape complexity. Fossil pollen records from lakes and bogs have provided important information on past natural and human-induced vegetation cover. However, those records provide only point estimates of past land cover, and not the spatially continuous maps at regional and sub-continental scales needed for climate modelling. We propose a set of statistical models that create spatially continuous maps of past land cover by combining two data sets: 1) pollen-based point estimates of past land cover (from the REVEALS model) and 2) spatially continuous estimates of past land cover, obtained by combining simulated potential vegetation (from LPJ-GUESS) with an anthropogenic land-cover change scenario (KK10). The proposed models rely on statistical methodology for compositional data and use Gaussian Markov Random Fields to model spatial dependencies in the data. Land-cover reconstructions are presented for three time windows in Europe: 0.05, 0.2, and 6 ka years before present (BP). The models are evaluated through cross-validation, deviance information criteria and by comparing the reconstruction of the 0.05 ka time window to the present-day land-cover data compiled by the European Forest Institute (EFI). For 0.05 ka, the proposed models provide reconstructions that are closer to the EFI data than either the REVEALS-or LPJ-GUESS/KK10-based estimates; thus the statistical combination of the two estimates improves the reconstruction. The reconstruction by the proposed models for 0.2 ka is also good. For 6 ka, however, the large differences between the REVEALS-and LPJ-GUESS/KK10-based estimates reduce the reliability of the proposed models. Possible reasons for the increased differences between REVEALS and LPJ-GUESS/KK10 for older time periods and further improvement of the proposed models are discussed