Synergistic reduction of carbon emissions and air pollution is the core means to address the two major strategic tasks of fundamentally improving the ecological environment and the‘Dual-carbon target’.The issue of s...Synergistic reduction of carbon emissions and air pollution is the core means to address the two major strategic tasks of fundamentally improving the ecological environment and the‘Dual-carbon target’.The issue of synergistic reduction at the provincial level needs to be addressed as a matter of urgency.Taking Henan Province,the largest economy in central China,as an example,this study uses environmentally extended input-output analysis and structural path analysis to identify the key sectors that contribute to CO_(2),SO_(2),and total particulate matter(TPM)emissions,and to sort out key emission pathways(e.g.,Final Demand→Sector…).The results indicate that S2(Mining of Fossil Energy),S10(Nonmetal Mineral Products),S11(Metal Smelting),S13(Power and Heat)and S17(Transportation)are mainly responsible for CO_(2),SO_(2),and TPM direct emissions on the production side,while S16(Construction),S12(Equipment)and S18(Services)account for more than 45%of CO_(2),SO_(2),and TPM embodied emissions on the consumption side.32 shared emission pathways are extracted from the top 100 pathways for CO_(2),SO_(2),and TPM emissions,which account for 27%-51%of total emissions in Henan Province.P9(Export→Nonmetal Mineral Products),P10(Export→Metal Smelting)and P21(Gross Capital Formation→Construction→Nonmetal Mineral Products)are the leading paths responsible for embodied emissions.The research results provide the foundation and guidance for well-designed mitigation policies,as well as a reference for better synergistic control in provinces facing similar situations.展开更多
With the growing adoption of Artifical Intelligence(AI),AI-driven autonomous techniques and automation systems have seen widespread applications,become pivotal in enhancing operational efficiency and task automation a...With the growing adoption of Artifical Intelligence(AI),AI-driven autonomous techniques and automation systems have seen widespread applications,become pivotal in enhancing operational efficiency and task automation across various aspects of human living.Over the past decade,AI-driven automation has advanced from simple rule-based systems to sophisticated multi-agent hybrid architectures.These technologies not only increase productivity but also enable more scalable and adaptable solutions,proving particularly beneficial in industries such as healthcare,finance,and customer service.However,the absence of a unified review for categorization,benchmarking,and ethical risk assessment hinders the AI-driven automation progress.To bridge this gap,in this survey,we present a comprehensive taxonomy of AI-driven automation methods and analyze recent advancements.We present a comparative analysis of performance metrics between production environments and industrial applications,along with an examination of cutting-edge developments.Specifically,we present a comparative analysis of the performance across various aspects in different industries,offering valuable insights for researchers to select the most suitable approaches for specific applications.Additionally,we also review multiple existing mainstream AI-driven automation applications in detail,highlighting their strengths and limitations.Finally,we outline open research challenges and suggest future directions to address the challenges of AI adoption while maximizing its potential in real-world AI-driven automation applications.展开更多
Nomilin is a type of limonoid primarily found in citrus fruits.It is a triterpenoid compound that has gained significant attention recently due to its diverse biological activities.This review summarizes the methods o...Nomilin is a type of limonoid primarily found in citrus fruits.It is a triterpenoid compound that has gained significant attention recently due to its diverse biological activities.This review summarizes the methods of extraction and the biological activities of nomilin.Various extraction techniques,including traditional solvent extraction,ultrasonic-assisted extraction,and supercritical fluid extraction,have been applied for its separation and purification.Among these,supercritical fluid extraction has shown great potential due to its efficiency and environmental benefits.Regarding biological activities,studies have demonstrated that nomilin shows anticancer,anti-inflammatory,antioxidant,anti-obesity,and blood glucose-regulating properties.Specific mechanisms include inhibition of cancer cell proliferation through modulation of cell signaling pathways,suppression of inflammatory responses,delay of aging through radical scavenging,and improvement of metabolic syndrome via modulation of metabolic pathways.Moreover,the potential applications of nomilin in food,medicine,and healthcare products have been extensively discussed.In conclusion,nomilin,as a natural compound,presents multiple potential health benefits,and further advancements in its extraction methods and bioactivity research will support its practical applications.展开更多
基金supported by the National Natural Science Foundation of China(No.42001246)the Energy Foundation(No.G-2209-34120).
文摘Synergistic reduction of carbon emissions and air pollution is the core means to address the two major strategic tasks of fundamentally improving the ecological environment and the‘Dual-carbon target’.The issue of synergistic reduction at the provincial level needs to be addressed as a matter of urgency.Taking Henan Province,the largest economy in central China,as an example,this study uses environmentally extended input-output analysis and structural path analysis to identify the key sectors that contribute to CO_(2),SO_(2),and total particulate matter(TPM)emissions,and to sort out key emission pathways(e.g.,Final Demand→Sector…).The results indicate that S2(Mining of Fossil Energy),S10(Nonmetal Mineral Products),S11(Metal Smelting),S13(Power and Heat)and S17(Transportation)are mainly responsible for CO_(2),SO_(2),and TPM direct emissions on the production side,while S16(Construction),S12(Equipment)and S18(Services)account for more than 45%of CO_(2),SO_(2),and TPM embodied emissions on the consumption side.32 shared emission pathways are extracted from the top 100 pathways for CO_(2),SO_(2),and TPM emissions,which account for 27%-51%of total emissions in Henan Province.P9(Export→Nonmetal Mineral Products),P10(Export→Metal Smelting)and P21(Gross Capital Formation→Construction→Nonmetal Mineral Products)are the leading paths responsible for embodied emissions.The research results provide the foundation and guidance for well-designed mitigation policies,as well as a reference for better synergistic control in provinces facing similar situations.
文摘With the growing adoption of Artifical Intelligence(AI),AI-driven autonomous techniques and automation systems have seen widespread applications,become pivotal in enhancing operational efficiency and task automation across various aspects of human living.Over the past decade,AI-driven automation has advanced from simple rule-based systems to sophisticated multi-agent hybrid architectures.These technologies not only increase productivity but also enable more scalable and adaptable solutions,proving particularly beneficial in industries such as healthcare,finance,and customer service.However,the absence of a unified review for categorization,benchmarking,and ethical risk assessment hinders the AI-driven automation progress.To bridge this gap,in this survey,we present a comprehensive taxonomy of AI-driven automation methods and analyze recent advancements.We present a comparative analysis of performance metrics between production environments and industrial applications,along with an examination of cutting-edge developments.Specifically,we present a comparative analysis of the performance across various aspects in different industries,offering valuable insights for researchers to select the most suitable approaches for specific applications.Additionally,we also review multiple existing mainstream AI-driven automation applications in detail,highlighting their strengths and limitations.Finally,we outline open research challenges and suggest future directions to address the challenges of AI adoption while maximizing its potential in real-world AI-driven automation applications.
基金supported by National Innovation and Entrepreneurship Center for College Students(CSIE)of China(2023010011520240200032)+1 种基金Hubei University of Technology Graduate Innovation ProgramHubei Provincial Science and Technology Personnel Service Enterprise Project(2024DJC019).
文摘Nomilin is a type of limonoid primarily found in citrus fruits.It is a triterpenoid compound that has gained significant attention recently due to its diverse biological activities.This review summarizes the methods of extraction and the biological activities of nomilin.Various extraction techniques,including traditional solvent extraction,ultrasonic-assisted extraction,and supercritical fluid extraction,have been applied for its separation and purification.Among these,supercritical fluid extraction has shown great potential due to its efficiency and environmental benefits.Regarding biological activities,studies have demonstrated that nomilin shows anticancer,anti-inflammatory,antioxidant,anti-obesity,and blood glucose-regulating properties.Specific mechanisms include inhibition of cancer cell proliferation through modulation of cell signaling pathways,suppression of inflammatory responses,delay of aging through radical scavenging,and improvement of metabolic syndrome via modulation of metabolic pathways.Moreover,the potential applications of nomilin in food,medicine,and healthcare products have been extensively discussed.In conclusion,nomilin,as a natural compound,presents multiple potential health benefits,and further advancements in its extraction methods and bioactivity research will support its practical applications.
