Effectiveness of a universal film intervention in reducing violence against children and increasing positive parenting among migrant and displaced caregivers from Myanmar: a commun... by Amanda Sim, Khaing Zar Lwin, Stephanie Eagling-Peche, G.J. Melendez-Torres, Seema Vyas, Francisco Calderon, Tawanchai Jirapramukpitak, Jamie Lachman, Sureeporn Punpuing, Andrea Gonzalez, Mary Soan, Nway Nway Oo, Ivet Castello Mitjans, Greg Tyrosvoutis, Eve Puffer

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Water Quality Variations in the Lower Yangtze River Based on GA-RF Model From GF-1, Landsat-8, and Sentinel-2 Images by Wentao Hu, Shuanggen Jin, Yuanyuan Zhang

“…The results indicate that the three-satellite GA-RF joint model shows the best estimation performance from the in-situ measurements: TP with MAE 0.0108 and RMSE 0.0132, and TN with MAE 0.32 and RMSE 0.40. …”
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Geospatial digital mapping of soil organic carbon using machine learning and geostatistical methods in different land uses by Yahya Parvizi, Shahrokh Fatehi

“…The spherical variogram model with MAE = 0.41 best fits to interpolate and map SOC using ordinary kriging in different land uses. …”
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Understanding the causes of intravenous medication administration errors in hospitals: a qualitative critical incident study by Darren M Ashcroft, Richard N Keers, Jonathan Cooke, Steven D Williams

“…Objectives To investigate the underlying causes of intravenous medication administration errors (MAEs) in National Health Service (NHS) hospitals.Setting Two NHS teaching hospitals in the North West of England.Participants Twenty nurses working in a range of inpatient clinical environments were identified and recruited using purposive sampling at each study site.Primary outcome measures Semistructured interviews were conducted with nurse participants using the critical incident technique, where they were asked to discuss perceived causes of intravenous MAEs that they had been directly involved with. …”
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