5 research outputs found

    Want to change perspectives on social justice? Academic courses and social movements matter

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    Background: Ending systemic racism and other interrelated forms of oppression depends on institutional change, as well as changing individuals’ hearts and minds. The present study examines first the impact of a course focusing on social justice and second the impact of 2020, with the COVID-19 pandemic, a critical stage of the Black Lives Matter Movement, and increasing awareness of racism and classism. Method: Participants were 139 WCU students (87% female identified, 36% BIPOC): 101 were enrolled in 2017-2019, and 38 in 2020. Measures included the White Privileges Attitudes Scale (Pinterits, Poteat, & Spanierman, 2009) in its original form as well as an adapted form to measure attitudes about middle class privilege, and the Coping with Discrimination Scale (Wei, Alvarez, Ku, Russell, & Bonett, 2010). Results and Implications: A repeated measures MANCOVA revealed significant change from pre- to post-course in student ratings for awareness of White privilege, willingness to confront White privilege, willingness to confront middle class privilege, and interest in advocating for education about discrimination. A GLM comparing pre-course scores for students in 2017-2019 versus those in 2020, revealed significant differences for awareness of White privilege, remorse about White privilege, awareness of middle-class privilege, willingness to confront middle class privilege, remorse about middle class privilege, interest in advocating for education about discrimination, interest in resisting discrimination, and detachment from discrimination. If we are interested in changing perspectives about issues of social justice, academic courses can matter, but social conditions and movements may matter more

    Modelling the Radiative Effects of Biomass Burning Aerosols on Carbon Fluxes in the Amazon Region

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    Every year, a dense smoke haze covers a large portion of South America originating from fires in the Amazon Basin and central parts of Brazil during the dry/biomass-burning season between August and October. Over a large portion of South America, the average aerosol optical depth at 550 nm exceeds 1.0 during the fire season while the background value during the rainy season is below 0.2. Biomass burning aerosol particles increase scattering and absorption of the incident solar radiation. The regional-scale aerosol layer reduces the amount of solar energy reaching the surface, cools the near surface air, and increases the diffuse radiation fraction over a large disturbed area of the Amazon rainforest. These factors affect the energy and CO2 fluxes at the surface. In this work, we applied a fully integrated atmospheric model to assess the impact of biomass burning aerosols in CO2 fluxes in the Amazon region during 2010. We address the effects of the attenuation of the global solar radiation and the enhancement of the diffuse solar radiation flux inside the vegetation canopy. Our results indicate that the biomass burning aerosols led to increases of about 27% of gross primary productivity of Amazonia, 10% of plant respiration and a decline in soil respiration of 3%. Consequently, in our model Amazonia, became a net carbon sink; net ecosystem exchange during September 2010 dropped from +101 to -104 TgC when the aerosol effects are considered, mainly due to the aerosol diffuse radiation effect. For the forest biome, our results point to a dominance of the diffuse radiation effect on CO2 fluxes, reaching a balance of 50% - 50% between the diffuse and direct aerosol effects for high aerosol loads. For C3 grasses and Savanna (cerrado), as expected, the contribution of the diffuse radiation effect is much lower, tending to zero with the increase of aerosol load. Taking all biomes together, our model shows the Amazon during the dry season, in the presence of high biomass burning aerosol loads, changing from being a source to being a sink of CO2 to the atmosphere

    Impact of hospital characteristics on implementation of a Pediatric Early Warning System in resource-limited cancer hospitals

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    BackgroundPediatric Early Warning Systems (PEWS) aid in identification of deterioration in hospitalized children with cancer but are underutilized in resource-limited settings. Proyecto EVAT is a multicenter quality improvement (QI) collaborative in Latin America to implement PEWS. This study investigates the relationship between hospital characteristics and time required for PEWS implementation.MethodsThis convergent mixed-methods study included 23 Proyecto EVAT childhood cancer centers; 5 hospitals representing quick and slow implementers were selected for qualitative analysis. Semi-structured interviews were conducted with 71 stakeholders involved in PEWS implementation. Interviews were recorded, transcribed and translated to English, then coded using a priori and novel codes. Thematic content analysis explored the impact of hospital characteristics and QI experience on time required for PEWS implementation and was supplemented by quantitative analysis exploring the relationship between hospital characteristics and implementation time.ResultsIn both quantitative and qualitative analysis, material and human resources to support PEWS significantly impacted time to implementation. Lack of resources produced various obstacles that extended time necessary for centers to achieve successful implementation. Hospital characteristics, such as funding structure and type, influenced PEWS implementation time by determining their resource-availability. Prior hospital or implementation leader experience with QI, however, helped facilitate implementation by assisting implementers predict and overcome resource-related challenges.ConclusionsHospital characteristics impact time required to implement PEWS in resource-limited childhood cancer centers; however, prior QI experience helps anticipate and adapt to resource challenges and more quickly implement PEWS. QI training should be a component of strategies to scale-up use of evidence-based interventions like PEWS in resource-limited settings
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