Nowadays, many countries and regions use the human resources development as the major approach in holding the initiative in competition. The Baotou Rare Earth High-tech Area implements the strategies for revitalizing ...Nowadays, many countries and regions use the human resources development as the major approach in holding the initiative in competition. The Baotou Rare Earth High-tech Area implements the strategies for revitalizing the area through establishing science and education learning organization and developing the entire learning in Management Committee. In accordance with the fundamental of mathematics ＂The arithmetical mean is equal to or larger than its geometric mean to any positive real number＂, it submits ＂the theoretical model of proportional development advantage of the same element in the same level＂ in order to solve ＂the problem that a few people behind in the department block the development of the High-tech Area＂, realize every member＇s common progress and each department＇s proportional development, and finally make the effect of Rare Earth High-tech maximum by strengthening team cooperation and producing a multiplier effect.展开更多
With the emergence of artificial intelligence(AI),supply chains are transitioning from traditional operating models to intelligent and data-driven systems.An AI-based intelligent supply chain is an advanced integrated...With the emergence of artificial intelligence(AI),supply chains are transitioning from traditional operating models to intelligent and data-driven systems.An AI-based intelligent supply chain is an advanced integrated technology and management system built on AI and machine learning,which achieves intelligence,networking,collaboration,integration,and automation.By combining human expertise with machine capabilities,these supply chains are evolving into autonomous systems that are capable of self-awareness,self-direction,and self-optimization,with resilience and sustainability as their objectives.AI-based intelligent supply chains increasingly depend on AI and machine learning to automate decision-making processes.By integrating advanced technologies such as AI,the Internet of Things,and big data,these systems are able to monitor and analyze each link of the supply chain in real time and promptly detect emerging issues and risks.The effectiveness of these systems hinges on development on both the supply and demand sides.On the supply side,organizational structure,process integration,and the coordination of key elements form the foundation for effective use of AI.On the demand side,users’cognitive,emotional,and functional recognition regarding AI are central determinants of its actual effectiveness.Ultimately,it is the alignment between supply and demand that shapes the performance of AI-based intelligent supply chains.The governance of these systems requires a hybrid approach that seamlessly integrates contractual,relational,and algorithmic mechanisms,with the extent of each varying by context.展开更多
Semiconductor based photocatalysis that harvests renewable solar energy to produce green hydrogen has attracted widespread attention[1],known for its environmental friendliness,low opera-tional costs,and scalability.E...Semiconductor based photocatalysis that harvests renewable solar energy to produce green hydrogen has attracted widespread attention[1],known for its environmental friendliness,low opera-tional costs,and scalability.Extensive experimental and theoretical explorations have significantly advanced the development of pho-tocatalysts for overall water splitting at laboratory scale[2],by band structure engineering[3],heterostructure construction[4],active site design[5],and even micro-/macro-texture modulation[6,7].Preliminary demonstration and verification of its large-scale application have been accomplished using SrTiO_(3) as photocatalyst[8].However,this technology yet faces the great challenges in practical application,with solar-to-hydrogen conversion efficiency still lower than 2%,suffering from the thermodynamically and kinetically constrained water splitting reactions[9].Although some well documented strategies(e.g.,light concentration,exter-nal heat,and concentrated electrolytes)could overcome these pho-tocatalytic limitations to some extent[10],the introduced harsh reaction conditions would significantly compromise the durability of photocatalysts[11].For example,to realize the practical applica-tion of photocatalytic recycling and upgrading of plastic wastes into solar hydrogen,strong alkaline solutions containing mono-meric constituents should serve as feedstocks for photo-reforming[12],with photocatalysts exposed to the harsh alkaline condition and then suffering from degradation and inactivation.展开更多
文摘Nowadays, many countries and regions use the human resources development as the major approach in holding the initiative in competition. The Baotou Rare Earth High-tech Area implements the strategies for revitalizing the area through establishing science and education learning organization and developing the entire learning in Management Committee. In accordance with the fundamental of mathematics ＂The arithmetical mean is equal to or larger than its geometric mean to any positive real number＂, it submits ＂the theoretical model of proportional development advantage of the same element in the same level＂ in order to solve ＂the problem that a few people behind in the department block the development of the High-tech Area＂, realize every member＇s common progress and each department＇s proportional development, and finally make the effect of Rare Earth High-tech maximum by strengthening team cooperation and producing a multiplier effect.
基金supported by the major project of the National Social Science Fund of China“Mechanisms and Strategies for Advancing the Modernization of Industrial and Supply Chains through the Digital Economy”(No.22&ZD096)the key project of the National Social Science Fund of China“Development Models and Policy Research on the Modernization of China’s Industrial Supply Chains”(No.21AZD015).
文摘With the emergence of artificial intelligence(AI),supply chains are transitioning from traditional operating models to intelligent and data-driven systems.An AI-based intelligent supply chain is an advanced integrated technology and management system built on AI and machine learning,which achieves intelligence,networking,collaboration,integration,and automation.By combining human expertise with machine capabilities,these supply chains are evolving into autonomous systems that are capable of self-awareness,self-direction,and self-optimization,with resilience and sustainability as their objectives.AI-based intelligent supply chains increasingly depend on AI and machine learning to automate decision-making processes.By integrating advanced technologies such as AI,the Internet of Things,and big data,these systems are able to monitor and analyze each link of the supply chain in real time and promptly detect emerging issues and risks.The effectiveness of these systems hinges on development on both the supply and demand sides.On the supply side,organizational structure,process integration,and the coordination of key elements form the foundation for effective use of AI.On the demand side,users’cognitive,emotional,and functional recognition regarding AI are central determinants of its actual effectiveness.Ultimately,it is the alignment between supply and demand that shapes the performance of AI-based intelligent supply chains.The governance of these systems requires a hybrid approach that seamlessly integrates contractual,relational,and algorithmic mechanisms,with the extent of each varying by context.
基金supported by the National Natural Science Foun-dation of China(22432003,52225606,and 523B2070).
文摘Semiconductor based photocatalysis that harvests renewable solar energy to produce green hydrogen has attracted widespread attention[1],known for its environmental friendliness,low opera-tional costs,and scalability.Extensive experimental and theoretical explorations have significantly advanced the development of pho-tocatalysts for overall water splitting at laboratory scale[2],by band structure engineering[3],heterostructure construction[4],active site design[5],and even micro-/macro-texture modulation[6,7].Preliminary demonstration and verification of its large-scale application have been accomplished using SrTiO_(3) as photocatalyst[8].However,this technology yet faces the great challenges in practical application,with solar-to-hydrogen conversion efficiency still lower than 2%,suffering from the thermodynamically and kinetically constrained water splitting reactions[9].Although some well documented strategies(e.g.,light concentration,exter-nal heat,and concentrated electrolytes)could overcome these pho-tocatalytic limitations to some extent[10],the introduced harsh reaction conditions would significantly compromise the durability of photocatalysts[11].For example,to realize the practical applica-tion of photocatalytic recycling and upgrading of plastic wastes into solar hydrogen,strong alkaline solutions containing mono-meric constituents should serve as feedstocks for photo-reforming[12],with photocatalysts exposed to the harsh alkaline condition and then suffering from degradation and inactivation.
