46 research outputs found

    Stand Out in Class: restructuring theclassroom environment to reducesedentary behaviour in 9–10-year-olds—study protocol for a pilot clusterrandomised controlled trial

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    Background: Sedentary behaviour (sitting) is a highly prevalent negative health behaviour, with individuals of allages exposed to environments that promote prolonged sitting. Excessive sedentary behaviour adversely affects health inchildren and adults. As sedentary behaviour tracks from childhood into adulthood, the reduction of sedentary time inyoung people is key for the prevention of chronic diseases that result from excessive sitting in later life. The sedentaryschool classroom represents an ideal setting for environmentalchange, through the provision of sit-stand desks. Whilstthe use of sit-stand desks in classrooms demonstrates positiveeffects in some key outcomes, evidence is currently limitedby small samples and/or short intervention durations, withfewstudiesadoptingrandomisedcontrolledtrial(RCT)designs. This paper describes the protocol of a pilot cluster RCT of a sit-stand desk interventioninprimaryschoolclassrooms.Methods/Design:A two-arm pilot cluster RCT will be conducted in eight primary schools (four intervention, four control)with at least 120 year 5 children (aged 9–10 years). Sit-stand desks will replace six standard desks in the interventionclassrooms. Teachers will be encouraged to ensure all pupils are exposed to the sit-stand desks for at least 1 h/dayon average using a rotation system. Schools assigned to the control arm will continue with their usual practice, noenvironmental changes will be made to their classrooms. Measurements will be taken at baseline, beforerandomisation, and at the end of the schools’academic year. In this study, the primary outcomes of interest will beschool and participant recruitment and attrition, acceptability of the intervention, and acceptability and complianceto the proposed outcome measures (including activPAL-measured school-time and school-day sitting, accelerometer-measured physical activity, adiposity, blood pressure, cognitive function, academic progress, engagement, andbehaviour) for inclusion in a definitive trial. A full process evaluation and an exploratory economic evaluation willalso be conducted to further inform a definitive tria

    Stranded assets: environmental drivers, societal challenges, and supervisory responses

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    Environment factors, particularly those related to climate change, are stranding or could strand assets across different sectors and geographies with significant implications for economies, companies, financial institutions, communities, and workers. In this review, we focus on physical climate change, biodiversity loss, and litigation related to environmental factors as causes of stranded assets. We also review the emerging literature on the consequences of asset stranding for society before turning to some of the key supervisory responses that are emerging to ensure that stranded assets are measured and managed, particularly by financial institutions. These are among the areas of the stranded assets literature that have been growing most rapidly since 2015, and we focus on the literature produced since then

    Huygens-Fresnel wave-optics simulation of atmospheric optical turbulence and reflective speckle in CO2 differential absorption LIDAR (DIAL)

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    The measurement sensitivity of C02 differential absorption lidar (DIAL) can be affected by a number of different processes. We have previously developed a Huygens-Fresnel wave optics propagation code to simulate the effects of two of these processes: effects caused by beam propagation through atmospheric optical turbulence and effects caused by reflective speckle. Atmospheric optical turbulence affects the beam distribution of energy and phase on target. These effects include beam spreading, beam wander and scintillation which can result in increased shot-to-shot signal noise. In addition, reflective speckle alone has been shown to have a major impact on the sensitivity of C02 DIAL. However, in real DIAL systems it is a combination of these phenomena, the interaction of atmospheric optical turbulence and reflective speckle, that influences the results. In this work, we briefly review a description of our model including the limitations along with previous simulations of individual effects. The performance of our modified code with respect to experimental measurements affected by atmospheric optical turbulence and reflective speckle is examined. The results of computer simulations are directly compared with lidar measurements and show good agreement. In addition, advanced studies have been performed to demonstrate the utility of our model in assessing the effects for different lidar geometries on RMS noise and correlation "size" in the receiver plane.U.S. Department of EnergyW-7405-ENG-3
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