This paper addresses the problems faced in programmable logic controller(PLC)teaching in vocational colleges and proposes countermeasures to overcome these challenges.The study emphasizes the need for a deeper underst...This paper addresses the problems faced in programmable logic controller(PLC)teaching in vocational colleges and proposes countermeasures to overcome these challenges.The study emphasizes the need for a deeper understanding of fundamental concepts and the integration of practical application in PLC education.It suggests involving students in teacher-led projects to enhance their programming skills and problem-solving skills.Additionally,the paper highlights the importance of interactive learning and collaborative discussions to foster student engagement.Furthermore,it emphasizes the cultivation of innovation consciousness through participation in innovation competitions and projects.The implementation of these strategies has shown positive results in improving learning outcomes and preparing students for careers in automation and control.This research contributes to the development of effective teaching approaches in PLC education in vocational colleges.展开更多
Due to trauma and disease,bone defects endanger the healthy life of human beings.At present,the gold standard for bone defect repair is still autologous bone transplantation and allogeneic bone transplantation.However...Due to trauma and disease,bone defects endanger the healthy life of human beings.At present,the gold standard for bone defect repair is still autologous bone transplantation and allogeneic bone transplantation.However,its insufficient source,potential disease transmission and immune rejection limit its clinical application.Therefore,the development of bone repair materials plays an important role in promoting bone repair.As the interface between material and tissue,the surface of the material plays an important role in the reaction after implantation,which determines the effectiveness of defect repair treatment.With the development of surface engineering and technology,bone repair materials have developed from biological inertia to biological activity by endowing various biological functions by controlling the composition,topological morphology and structure of the material surface etc.The inspired biofunctionalisation of material surface includes the capacities of inducing osteogenesis,promoting angiogenesis,antibacterial,immune regulation etc.,as well as integration of postoperative repair and treatment.The authors review the biofunctionalisation of biomaterial surface and the inspired biological effects for bone repair,mainly including physical and chemical properties of material surface to regulate osteogenesis,and functional strategy of bone repair material surface.展开更多
Fairness is an emerging consideration when assessing the segmentation per-formance of machine learning models across various demographic groups.During clinical decision-making,an unfair segmentation model exhibits ris...Fairness is an emerging consideration when assessing the segmentation per-formance of machine learning models across various demographic groups.During clinical decision-making,an unfair segmentation model exhibits risks in that it can pose inappropriate diagnoses and unsuitable treatment plans for underrepresented demographic groups,resulting in severe consequences for patients and society.In medical artificial intelligence(AI),the fairness of multi-organ segmentation is imperative to augment the integration of models into clinical practice.As the use of multi-organ segmentation in medical image analysis expands,it is crucial to systematically examine fairness to ensure equitable segmentation performance across diverse patient populations and ensure health equity.However,comprehensive studies assessing the problem of fairness in multi-organ segmentation remain lacking.This study aimed to provide an overview of the fairness problem in multi-organ segmentation.We first define fairness and discuss the factors that lead to fairness problems such as individual fairness,group fairness,counterfactual fairness,and max–min fairness in multi-organ segmentation,focusing mainly on datasets and models.We then present strategies to potentially improve fairness in multi-organ segmentation.Additionally,we highlight the challenges and limita-tions of existing approaches and discuss future directions for improving the fairness of AI models for clinically oriented multi-organ segmentation.展开更多
基金The Project of China Vocational Education Association(ZJS2022YB024)。
文摘This paper addresses the problems faced in programmable logic controller(PLC)teaching in vocational colleges and proposes countermeasures to overcome these challenges.The study emphasizes the need for a deeper understanding of fundamental concepts and the integration of practical application in PLC education.It suggests involving students in teacher-led projects to enhance their programming skills and problem-solving skills.Additionally,the paper highlights the importance of interactive learning and collaborative discussions to foster student engagement.Furthermore,it emphasizes the cultivation of innovation consciousness through participation in innovation competitions and projects.The implementation of these strategies has shown positive results in improving learning outcomes and preparing students for careers in automation and control.This research contributes to the development of effective teaching approaches in PLC education in vocational colleges.
基金National Natural Science Foundation of China,Grant/Award Number:52071277Sichuan Science and Technology Program,Grant/Award Number:2022YFSY0044。
文摘Due to trauma and disease,bone defects endanger the healthy life of human beings.At present,the gold standard for bone defect repair is still autologous bone transplantation and allogeneic bone transplantation.However,its insufficient source,potential disease transmission and immune rejection limit its clinical application.Therefore,the development of bone repair materials plays an important role in promoting bone repair.As the interface between material and tissue,the surface of the material plays an important role in the reaction after implantation,which determines the effectiveness of defect repair treatment.With the development of surface engineering and technology,bone repair materials have developed from biological inertia to biological activity by endowing various biological functions by controlling the composition,topological morphology and structure of the material surface etc.The inspired biofunctionalisation of material surface includes the capacities of inducing osteogenesis,promoting angiogenesis,antibacterial,immune regulation etc.,as well as integration of postoperative repair and treatment.The authors review the biofunctionalisation of biomaterial surface and the inspired biological effects for bone repair,mainly including physical and chemical properties of material surface to regulate osteogenesis,and functional strategy of bone repair material surface.
基金Shanghai Municipal Science and Technology Major Project,Grant/Award Number:2023SHZD2X02A05National Natural Science Foundation of China,Grant/Award Number:62331021Shanghai Sailing Program,Grant/Award Numbers:20YF1402400,22YF1409300。
文摘Fairness is an emerging consideration when assessing the segmentation per-formance of machine learning models across various demographic groups.During clinical decision-making,an unfair segmentation model exhibits risks in that it can pose inappropriate diagnoses and unsuitable treatment plans for underrepresented demographic groups,resulting in severe consequences for patients and society.In medical artificial intelligence(AI),the fairness of multi-organ segmentation is imperative to augment the integration of models into clinical practice.As the use of multi-organ segmentation in medical image analysis expands,it is crucial to systematically examine fairness to ensure equitable segmentation performance across diverse patient populations and ensure health equity.However,comprehensive studies assessing the problem of fairness in multi-organ segmentation remain lacking.This study aimed to provide an overview of the fairness problem in multi-organ segmentation.We first define fairness and discuss the factors that lead to fairness problems such as individual fairness,group fairness,counterfactual fairness,and max–min fairness in multi-organ segmentation,focusing mainly on datasets and models.We then present strategies to potentially improve fairness in multi-organ segmentation.Additionally,we highlight the challenges and limita-tions of existing approaches and discuss future directions for improving the fairness of AI models for clinically oriented multi-organ segmentation.
