72 research outputs found

    Non-Binary Genders in Higher Education Survey, 2019

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    Non-Binary in Higher Education Survey Findings Report and Recommendations

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    This report contains the findings from the Non-Binary in Higher Education: Lived Experiences, Imagined Futures project survey conducted in 2019. It also makes recommendations based on the findings

    Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

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    Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

    Practices for gender-inclusive module introductions

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    Peeing and pronouns: Living non-binary gender in higher education

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    Non-binary people make up just over half the trans population of the UK and younger people are more likely to identify as non-binary than those over 35 (Government Equalities Office, 2018; ONS, 2023). Despite this increasing, but limited recognition, non-binary identities and experiences continue to be widely misunderstood. Similarly, university trans inclusion policies often focus on binary or medical transition and cannot fully accommodate the needs of non-binary students. In a context of increased focus on participation and success of marginalised social groups, the question of how non-binary students move through and thrive in higher education becomes more pressing. Non-binary inclusion has thus far received little dedicated attention and little is known about the experiences and needs of non-binary people as they navigate higher education. This article draws on data from the largest survey to date of non-binary students in the United Kingdom and begins to fill those gaps. We highlight the prominence in the survey of issues around ‘peeing’ and ‘pronouns’ in the lived experiences of non-binary students and demonstrate that the lack of recognition has detrimental impacts on students’ learning and lives at university

    Modeling Post-Fire Tree Mortality Using a Logistic Regression Method within a Forest Landscape Model

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    Fire is a multi-scale process that is an important component in determining ecosystem age structures and successional trajectories across forested landscapes. In order to address questions regarding fire effects over large spatial scales and long temporal scales researchers often employ forest landscape models which can model fire as a spatially explicit disturbance. Within forest landscape models site-level fire effects are often simplified to the species, functional type, or cohort level due to time or computational resource limitations. In this study we used a subset of publicly available U.S. Forest Service forest inventory data (FIA) to estimate short-term fire effects on tree densities across multiple stem diameter classes in two ecological sections in the central and southern United States. We found that FIA plots where low-intensity fires occurred within the preceding five years in the Ozark Highlands ecological section had significantly reduced stem densities in the two smallest diameter classes and in the Gulf Coastal Plains and Flatwoods fire reduced stem densities in the three smallest diameter classes. Using an independent subset of FIA plots we then parameterized and calibrated a forest landscape model to simulate site-level fire effects using a logistic regression based method and compare the results to previous methods of modeling fire effects. When representative landscapes from both study areas were simulated under a low-intensity fire regime using a forest landscape model the logistic regression probability method of modeling fire effects produced a similar reduction in stem densities while the previous age-cohort method overestimated density reductions across diameter classes. A more realistic representation of fire effects, particularly in low intensity fire regimes, increases the utility of forest landscape models as tools for planning and management
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