China’s“common prosperity”policy is a multidimensional pursuit of social and economic progress aimed at full realization by 2050.A CHIEVING common prosperity–prosperity that is universally shared–has been a longs...China’s“common prosperity”policy is a multidimensional pursuit of social and economic progress aimed at full realization by 2050.A CHIEVING common prosperity–prosperity that is universally shared–has been a longstanding aspiration of the Chinese government.展开更多
Background:Biliary stent placement during endoscopic retrograde cholangiopancreatography(ERCP)is important for drainage in common bile duct(CBD)strictures,while the stent length is associated with many stent-related c...Background:Biliary stent placement during endoscopic retrograde cholangiopancreatography(ERCP)is important for drainage in common bile duct(CBD)strictures,while the stent length is associated with many stent-related complications.We aimed to develop an artificial intelligence(AI)model for stent length selection during ERCP.Methods:Images of the patients who underwent ERCP and were diagnosed with CBD strictures were collected.Training involved identifying and delineating the duodenoscope,CBD and guidewire,calculating the pixel distance of the target guidewire and determining the required biliary stent length based on the diameter of the duodenoscope.The performance of the model,accuracy for length calculation and the assistance for endoscopists were validated using the testing set.Results:A total of 794 images from 431 patients were included and data augmentation was conducted.The mean intersection over union(mIoU)for duodenoscope,CBD and guidewire were 90.46%,84.79%and 84.64%,respectively.The accuracy in identifying the strictures was 97.58%(121/124).The accuracy for stent length calculation achieved 85.95%(104/121)with an error margin of±1 cm.The mean absolute error(MAE)and mean relative error(MRE)of the AI model was 0.81 cm and 0.13,respectively.The AI model could reduce approximately 202 mGycm^(2)of the radiation exposure for each patient.It significantly improved both MAE and MRE for less experienced endoscopists(P=0.01 and P=0.02,respectively).Conclusions:The AI model could accurately identify duodenoscope,CBD and guidewire,enabling accurate strictures identification and stent length selection.展开更多
Villager Pan Chunlin is witnessing a boom in his homestay business.More and more visitors are coming to his village,Yucun Village in Anji County,Huzhou City,Zhejiang Province.
Taking the rural low-income population of Zhejiang Province as its subject, this paper examines how to build a sustainable income-growth mechanism and identify feasible implementation paths within the context of the c...Taking the rural low-income population of Zhejiang Province as its subject, this paper examines how to build a sustainable income-growth mechanism and identify feasible implementation paths within the context of the common prosperity strategy. The research identifies key obstacles to income expansion, including an undiversified industrial structure, insufficient human capital, and a lack of robust social protection. These call for systemic solutions featuring institutional innovation, resource consolidation, and capability enhancement. Building on Zhejiang's experience as a common prosperity demonstration zone, the article constructs an integrated framework centered on four pillars: industrial empowerment, education upgrading, social security reinforcement, and digital coordination. It further offers concrete policy proposals involving the cultivation of localized industries, vocational skill training, enhanced safety nets, and the adoption of digital tools. The study thus offers both theoretical insights and practical paradigms for tackling the challenge of raising incomes in low-income rural areas.展开更多
The Chinese government’s common prosperity policy has inspired a series of rural development initiatives aimed at reducing income disparities between urban and rural areas.Zhejiang Province was designated as the firs...The Chinese government’s common prosperity policy has inspired a series of rural development initiatives aimed at reducing income disparities between urban and rural areas.Zhejiang Province was designated as the first demonstration zone in China’s pursuit of common prosperity.To explore the demonstration effect of rural development on narrowing the income gap between urban and rural areas,this study adopts the Theil index to measure urban-rural income disparity levels and explores spatial evolution patterns of the income disparity in 52 counties of Zhejiang Province,China from 2011 to 2020.The spatial Durbin model is also used to investigate the impact of rural development on the urban-rural income disparity.The results show that:1)Urban-rural income disparities have gradually narrowed.Moreover,income disparities across the province are spatially clustered from north to south.Narrowing the gap between mountainous and non-mountainous counties is imperative for resolving these spatial imbalances in the short term.2)Rural development reduces urban-rural income disparity levels and generates economic and technological spillover effects,as evidenced by the phenomenon where development in one county leads to reduced income disparities in neighboring counties.3)The technological innovation enhances the co-development of rural industries through technological diffusion effects,further strengthening rural development.Finally,enhancing the ecological environment synergizes with rural development to reduce urban-rural income disparities.The research results provide policy implications for narrowing the urban-rural income disparity and promoting common prosperity.展开更多
堆石混凝土作为我国自主研发的新一代大体积混凝土筑坝技术,其智能化质量控制与自动化(无人或少人)施工技术的研发,是推动其高质量快速建设乃至发展为下一代筑坝技术的必然条件。基于此,引入物联网、大数据、人工智能、云计算等新一代...堆石混凝土作为我国自主研发的新一代大体积混凝土筑坝技术,其智能化质量控制与自动化(无人或少人)施工技术的研发,是推动其高质量快速建设乃至发展为下一代筑坝技术的必然条件。基于此,引入物联网、大数据、人工智能、云计算等新一代信息技术,研发了面向参建各方的堆石混凝土智能信息化施工技术与系统(Construction Information Modeling for RFC,CIM4R),重点解决堆石混凝土坝堆石入仓、高自密实性能混凝土浇筑、温控防裂以及层面处理等四条施工主线的实时监控、快速评价、报警预警和反馈控制等问题,以期实现相关工程的“提质-降本-增效”,为堆石混凝土坝智能建造技术的发展打下基础,推动我国下一代筑坝技术与新质生产力的发展。展开更多
文摘China’s“common prosperity”policy is a multidimensional pursuit of social and economic progress aimed at full realization by 2050.A CHIEVING common prosperity–prosperity that is universally shared–has been a longstanding aspiration of the Chinese government.
基金supported by grants from the Taishan Scholars Program of Shandong Province(tsqn202312333)the National Natural Science Foundation of China(82470695).
文摘Background:Biliary stent placement during endoscopic retrograde cholangiopancreatography(ERCP)is important for drainage in common bile duct(CBD)strictures,while the stent length is associated with many stent-related complications.We aimed to develop an artificial intelligence(AI)model for stent length selection during ERCP.Methods:Images of the patients who underwent ERCP and were diagnosed with CBD strictures were collected.Training involved identifying and delineating the duodenoscope,CBD and guidewire,calculating the pixel distance of the target guidewire and determining the required biliary stent length based on the diameter of the duodenoscope.The performance of the model,accuracy for length calculation and the assistance for endoscopists were validated using the testing set.Results:A total of 794 images from 431 patients were included and data augmentation was conducted.The mean intersection over union(mIoU)for duodenoscope,CBD and guidewire were 90.46%,84.79%and 84.64%,respectively.The accuracy in identifying the strictures was 97.58%(121/124).The accuracy for stent length calculation achieved 85.95%(104/121)with an error margin of±1 cm.The mean absolute error(MAE)and mean relative error(MRE)of the AI model was 0.81 cm and 0.13,respectively.The AI model could reduce approximately 202 mGycm^(2)of the radiation exposure for each patient.It significantly improved both MAE and MRE for less experienced endoscopists(P=0.01 and P=0.02,respectively).Conclusions:The AI model could accurately identify duodenoscope,CBD and guidewire,enabling accurate strictures identification and stent length selection.
文摘Villager Pan Chunlin is witnessing a boom in his homestay business.More and more visitors are coming to his village,Yucun Village in Anji County,Huzhou City,Zhejiang Province.
文摘Taking the rural low-income population of Zhejiang Province as its subject, this paper examines how to build a sustainable income-growth mechanism and identify feasible implementation paths within the context of the common prosperity strategy. The research identifies key obstacles to income expansion, including an undiversified industrial structure, insufficient human capital, and a lack of robust social protection. These call for systemic solutions featuring institutional innovation, resource consolidation, and capability enhancement. Building on Zhejiang's experience as a common prosperity demonstration zone, the article constructs an integrated framework centered on four pillars: industrial empowerment, education upgrading, social security reinforcement, and digital coordination. It further offers concrete policy proposals involving the cultivation of localized industries, vocational skill training, enhanced safety nets, and the adoption of digital tools. The study thus offers both theoretical insights and practical paradigms for tackling the challenge of raising incomes in low-income rural areas.
基金Under the auspices of Project of Humanities and Social Sciences Research of the Ministry of Education(No.23YJC790127)Major projects of the National Social Science Fund(No.18ZDA045)。
文摘The Chinese government’s common prosperity policy has inspired a series of rural development initiatives aimed at reducing income disparities between urban and rural areas.Zhejiang Province was designated as the first demonstration zone in China’s pursuit of common prosperity.To explore the demonstration effect of rural development on narrowing the income gap between urban and rural areas,this study adopts the Theil index to measure urban-rural income disparity levels and explores spatial evolution patterns of the income disparity in 52 counties of Zhejiang Province,China from 2011 to 2020.The spatial Durbin model is also used to investigate the impact of rural development on the urban-rural income disparity.The results show that:1)Urban-rural income disparities have gradually narrowed.Moreover,income disparities across the province are spatially clustered from north to south.Narrowing the gap between mountainous and non-mountainous counties is imperative for resolving these spatial imbalances in the short term.2)Rural development reduces urban-rural income disparity levels and generates economic and technological spillover effects,as evidenced by the phenomenon where development in one county leads to reduced income disparities in neighboring counties.3)The technological innovation enhances the co-development of rural industries through technological diffusion effects,further strengthening rural development.Finally,enhancing the ecological environment synergizes with rural development to reduce urban-rural income disparities.The research results provide policy implications for narrowing the urban-rural income disparity and promoting common prosperity.
文摘堆石混凝土作为我国自主研发的新一代大体积混凝土筑坝技术,其智能化质量控制与自动化(无人或少人)施工技术的研发,是推动其高质量快速建设乃至发展为下一代筑坝技术的必然条件。基于此,引入物联网、大数据、人工智能、云计算等新一代信息技术,研发了面向参建各方的堆石混凝土智能信息化施工技术与系统(Construction Information Modeling for RFC,CIM4R),重点解决堆石混凝土坝堆石入仓、高自密实性能混凝土浇筑、温控防裂以及层面处理等四条施工主线的实时监控、快速评价、报警预警和反馈控制等问题,以期实现相关工程的“提质-降本-增效”,为堆石混凝土坝智能建造技术的发展打下基础,推动我国下一代筑坝技术与新质生产力的发展。
