DEVELOPING A BAYESIAN NETWORK MODEL FOR UNDERSTANDING RIVER CATCHMENT RESILIENCE UNDER FUTURE CHANGE SCENARIOS

Developing a Bayesian network model for understanding river catchment resilience under future change scenarios

The resilience of river catchments and the vital socio-ecological services they provide are threatened by the cumulative impacts of future climatic and socio-economic change.Stakeholders who manage freshwaters require tools for increasing their understanding of catchment system resilience when making strategic decisions.However, unravelling causes,

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Drought risk assessment for citrus and its mitigation resistance under climate change and crop specialization: A case study of southern Jiangxi, China

Crop specialization has become an important way to promote agricultural efficiency and increase incomes for farmers in China.Under extreme weather conditions, this is likely to increase resistance to drought risk mitigation and lead to greater drought damage.In order to make more sophisticated mitigation policy decisions, it requires efforts to ass

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Seeing Ghosts: A Quality Improvement Intervention to Decrease Phantom Scanning Through Increased Image Archiving of POCUS by Internal Medicine Residents

Point of care ultrasound (POCUS) is used in internal medicine (IM) to augment clinical decision making and improve procedural safety.Institutionally-supported archiving software can help learners track scan numbers and receive feedback on image acquisition and interpretation.At the University of Saskatchewan, IM residents use POCUS for procedures a

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