8 research outputs found
Detection of Iron Oxide Layer in Quenched and Tempered Gear Steel Using Magnetic Barkhausen Noise
International audienceThis paper deals with the non-destructive evaluation of surface oxidation of gear steel using magnetic Barkhausen noise profiles analysis. Martensitic specimens are subjected to tempering at various temperatures in a muffle furnace. Tempering induced changes result in Barkhausen profile height increase and peak centers shift to lower fields. Single peak profiles are associated with specimens tempered up to 500 °C. Double peak profiles are seen with specimens tempered at 600 °C and 700 °C. Single peak profiles are observed after removing the oxide layer. The utilization of MBN method for this purpose is based on the difference in the inherent magnetic properties between the degraded surface layer and the sub-surface unaffected bulk. The observations are discussed in the light of established models of Barkhausen noise
Assessment and selection of the best treatment alternative for infectious waste by modified Sustainability Assessment of Technologies methodology
Knowledge, attitude, and practice of waste handlers about medical waste management in Debre Markos town healthcare facilities, northwest Ethiopia
Assessing the scale of adoption of sustainability practices by community pharmacies in Spain in the time of COVID-19
SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study
Background Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population.The aim of this study was to inform vaccination prioritization by modelling the impact of vaccination on elective inpatient surgery. The study found that patients aged at least 70 years needing elective surgery should be prioritized alongside other high-risk groups during early vaccination programmes. Once vaccines are rolled out to younger populations, prioritizing surgical patients is advantageous