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Although social-ecological fisheries research is growing, comparatively little attention is paid to fisheries in urban environments. We aim to address this imbalance, because as cities expand worldwide, we expect urban fisheries to become more widespread and important in providing food/nutrition security, recreation, community well-being, and other benefits to fisheries stakeholders and urban dwellers across spatiotemporal scales. This paper contains a first analysis of the economic and sociocultural provisions, trade-offs, and dilemmas associated with urban fisheries to yield insights for sustainable management and planning of urban blue space. To address these objectives, we use the metacoupling framework, a method for assessing human–nature interactions within and across adjacent and distant fisheries systems. We use examples from multiple countries and data from the United States to illustrate how urban fisheries encompass flows of people, money, and information across multiple spatiotemporal scales and provide nutritional, recreational, social, and cultural benefits to fisheries stakeholders. Throughout the world, urban fisheries are influenced by wide-ranging human needs (e.g. food provisioning, recreation, aquatic resource education) that generate social-ecological effects within and beyond cities. Our analysis yields insights for developing holistic, metacoupling-informed management approaches that address the diverse social-ecological objectives and trade-offs involved in sustainable development of urban fisheries. [ABSTRACT FROM AUTHOR]

Background: The BIG score (Admission base deficit (B), International normalized ratio (I), and Glasgow Coma Scale (G)) has been shown to predict mortality on admission in pediatric trauma patients. The objective of this study was to assess its performance in predicting mortality in an adult trauma population, and to compare it with the existing Trauma and Injury Severity Score (TRISS) and probability of survival (PS09) score.Materials and Methods: A retrospective analysis using data collected between 2005 and 2010 from seven trauma centers and registries in Europe and the United States of America was performed. We compared the BIG score with TRISS and PS09 scores in a population of blunt and penetrating trauma patients. We then assessed the discrimination ability of all scores via receiver operating characteristic (ROC) curves and compared the expected mortality rate (precision) of all scores with the observed mortality rate.Results: In total, 12,206 datasets were retrieved to validate the BIG score. The mean ISS was 15 ± 11, and the mean 30-day mortality rate was 4.8%. With an AUROC of 0.892 (95% confidence interval (CI): 0.879 to 0.906), the BIG score performed well in an adult population. TRISS had an area under ROC (AUROC) of 0.922 (0.913 to 0.932) and the PS09 score of 0.825 (0.915 to 0.934). On a penetrating-trauma population, the BIG score had an AUROC result of 0.920 (0.898 to 0.942) compared with the PS09 score (AUROC of 0.921; 0.902 to 0.939) and TRISS (0.929; 0.912 to 0.947).Conclusions: The BIG score is a good predictor of mortality in the adult trauma population. It performed well compared with TRISS and the PS09 score, although it has significantly less discriminative ability. In a penetrating-trauma population, the BIG score performed better than in a population with blunt trauma. The BIG score has the advantage of being available shortly after admission and may be used to predict clinical prognosis or as a research tool to risk stratify trauma patients into clinical trials. [ABSTRACT FROM AUTHOR]

The article offers information on nutrient management in the U.S. The goal of nutrient management is to optimize advantages of nutrients and minimize their disadvantages. Nutrient use efficiency consider the effect and link between a field's soil, crop, weather, and hydrology along with the practices used on the property including irrigation, fertilizer and manure management. Furthermore, a new nitrogen index tool has been developed to coincide with nutrients in varying scenarios.