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Researchers at Penn State University have developed an online curriculum and hands-on simulation training program to reduce complications associated with placing central line catheters. The training, which was implemented in 2022, significantly decreased the rates of mechanical issues, infections, and blood clots compared to previous years. The researchers are also applying the training framework to other procedures with high complication rates. The study, published in the Journal of Surgical Education, provides evidence that this approach can improve clinical education and practice. [Extracted from the article]

A new report from the Faculty of Engineering in Baku, Azerbaijan explores the effect of conductivity changes in ischemic heart tissue on electrocardiography (ECG) readings. The study finds that current simulation models of ischemia, which only consider unhealthy transmembrane potential, may not accurately reflect the impact of conductivity changes on ECG results. By incorporating unhealthy conductivities in numerical studies, a more accurate simulation of ischemic heart tissue can be achieved. The research suggests that this approach should be considered in future studies to improve the accuracy of ECG diagnoses for ischemia. [Extracted from the article]

A recent report from investigators at the University of Chile discusses the need for changes in engineering education due to the Covid-19 pandemic, the rise of artificial intelligence, and societal changes. The report describes a course-level learning hybrid methodology implemented in a mechanical engineering curriculum. This methodology aims to develop technical and self-awareness skills in students through collaborative problem-solving, reflection, and project work. The research concludes that this approach helped students achieve learning outcomes, increased engagement, and allowed them to exercise their self-awareness. The report has been peer-reviewed and provides promising results for improving undergraduate mechanical engineering education. [Extracted from the article]

A study conducted at Guangxi University in China focused on the temperature prediction model of bone drilling, specifically considering the effect of tool wear. The researchers found that excessive temperatures during bone drilling can destroy the biological activity of bone tissue or even cause bone necrosis. They investigated the influence of tool wear on drilling temperature and established a prediction model based on Archard wear theory and the heat source method. The study concluded that worn bits produced drilling temperatures up to 3.4°C higher than new bits, and the temperature model extended the applicability of existing models. [Extracted from the article]