IEEE/CAA JOURNAL OF AUTOMATICA SINICA is a joint publication of the IEEE and Chinese Association of Automation.The objective of this journal is high quality and rapid publication of articles,with a strong focus on new...IEEE/CAA JOURNAL OF AUTOMATICA SINICA is a joint publication of the IEEE and Chinese Association of Automation.The objective of this journal is high quality and rapid publication of articles,with a strong focus on new trends,original theoretical and experimental research and developments,emerging technologies,and industrial standards in automation.IEEE/CAA Journal of Automatica Sinica publishes high-quality papers in English on original theoretical and experimental research and development in all areas of automation.展开更多
During the last few decades,rare isotope beam facilities have provided unique data for studying the properties of nuclides located far from the beta-stability line.Such nuclei are often accompanied by exotic structure...During the last few decades,rare isotope beam facilities have provided unique data for studying the properties of nuclides located far from the beta-stability line.Such nuclei are often accompanied by exotic structures and radioactive modes,which represent the forefront of nuclear research.Among them,two-proton(2p)radioactivity is a rare decay mode found in a few highly proton-rich isotopes.The 2p decay lifetimes and properties of emitted protons hold invaluable information regarding the nuclear structures in the presence of a low-lying proton continuum;as such,they have attracted considerable research attention.In this review,we present some of the recent experimental and theoretical progress regarding the 2p decay,including technical innovations for measuring nucleon-nucleon correlations and developments in the models that connect their structural aspects with their decay properties.This impressive progress should play a significant role in elucidating the mechanism of these exotic decays,probing the corresponding components inside nuclei,and providing deep insights into the open quantum nature of dripline systems.展开更多
This paper focuses on the energisation of high voltage DC(HVDC)and medium voltage DC(MVDC)insulation systems,referring mainly to cables for both theoretical development and validation testing.Cable system energisation...This paper focuses on the energisation of high voltage DC(HVDC)and medium voltage DC(MVDC)insulation systems,referring mainly to cables for both theoretical development and validation testing.Cable system energisation can be frequent during its lifetime,and it can possibly be affected by partial discharges(PD),because of manufacturing,laying,ageing,interfaces or structural cavities(as butt gaps).A theory-driven and measurement-based procedure is presented in this paper,having the purpose to minimise PD inception risk.This procedure is based on stepwise voltage application during cable energisation.The fundamental idea behind the proposed approach stems from considering that the jump voltage is the trigger of PD occurrence.Indeed,the jump voltage,and the consequent electric field variation,directly relates to AC PD inception voltage(PDIVAC).In addition,the electric field distribution in an insulation system is driven by insulation permittivity(capacitance)during voltage transients,and by conductivity in DC,thus the PDIVAC is generally smaller than DC PD inception voltage(PDIVDC).Hence,energising a DC cable by an initial step lower than PDIVAC,and then increasing the voltage in steps smaller than PDIVAC,would minimise the risk of PD inception during transients and the relevant degradation rate.However,this does not change,the risk of occurrence(if any)of low-repetition partial discharges at DC steady state.Effectiveness of the proposed technique is proved by the help of tests performed on cables with artificial surface and internal defects.It is shown that compared with the conventional energisation consisting of rapidly increasing voltage,the stepwise approach can reduce the risk of PD inception and related extrinsic ageing,even for the steady state voltages larger than PDIVDC.展开更多
In 2021,we published our first special issue on the xu-argument in Chinese Journal of Applied Linguistics.Five years have passed since then.Over this period,second language acquisition(SLA)has undergone substantial ch...In 2021,we published our first special issue on the xu-argument in Chinese Journal of Applied Linguistics.Five years have passed since then.Over this period,second language acquisition(SLA)has undergone substantial changes.For example,the emergence of Large Language Models(LLMs)such as ChatGPT and DeepSeek has begun to reshape language teaching and learning.During the same period,the xu-argument has advanced considerably,both theoretically and methodologically.The present special issue brings together an interview and seven empirical studies,which collectively exemplify these developments.展开更多
Focused on the theoretical development and practical enhancement of computer systems and algorithms,artificial intelligence(AI)is capable of performing tasks traditionally requiring human intelligence.The endocrine sy...Focused on the theoretical development and practical enhancement of computer systems and algorithms,artificial intelligence(AI)is capable of performing tasks traditionally requiring human intelligence.The endocrine system is a complex biological system involving hormones and metabolites.It is a complicated network of local and systemic interactions between receptors and signaling pathways[1].The endocrine system is regulated by various factors including genetic,epigenetic,and environmental influences.A deeper understanding of the complexity of the endocrine system always lies beyond the capacities of human brains.AI is particularly suitable to deal with the complexity of the endocrine system and the long-term management of endocrine disorders.With the rapid development of AI technologies,numerous opportunities will be presented to endocrinologists.The accuracy of diagnosis and treatment will be improved,the management of chronic diseases will be optimized,and the scientific research innovation will be inspired in the era of AI[2].展开更多
Dear readers,It is our pleasure to present six articles in Volume 6,Issue 4 of the Journal of Social Computing.To help readers navigate this diverse content,we have organized the papers into three thematic clusters:(1...Dear readers,It is our pleasure to present six articles in Volume 6,Issue 4 of the Journal of Social Computing.To help readers navigate this diverse content,we have organized the papers into three thematic clusters:(1)Theoretical development in information diffusion,particularly the distribution of biases across social categories and cultural contexts.(2)Methodological contributions to contemporary research,including social experiments using multiple LLM agents and computational recommendation methods.(3)Integrated approaches combining machine learning and statistical modeling,using mental health as a case study to explore and test theory.展开更多
文摘IEEE/CAA JOURNAL OF AUTOMATICA SINICA is a joint publication of the IEEE and Chinese Association of Automation.The objective of this journal is high quality and rapid publication of articles,with a strong focus on new trends,original theoretical and experimental research and developments,emerging technologies,and industrial standards in automation.IEEE/CAA Journal of Automatica Sinica publishes high-quality papers in English on original theoretical and experimental research and development in all areas of automation.
基金partially supported by the National Natural Science Foundation of China (Nos. 12147101, 11925502,11935001,11961141003, 11890714)the National Key R&D Program of China (No.2018YFA0404404)+1 种基金the Strategic Priority Research Program of Chinese Academy of Sciences (No. XDB34030000)the Shanghai Development Foundation for Science and Technology(No. 19ZR1403100)
文摘During the last few decades,rare isotope beam facilities have provided unique data for studying the properties of nuclides located far from the beta-stability line.Such nuclei are often accompanied by exotic structures and radioactive modes,which represent the forefront of nuclear research.Among them,two-proton(2p)radioactivity is a rare decay mode found in a few highly proton-rich isotopes.The 2p decay lifetimes and properties of emitted protons hold invaluable information regarding the nuclear structures in the presence of a low-lying proton continuum;as such,they have attracted considerable research attention.In this review,we present some of the recent experimental and theoretical progress regarding the 2p decay,including technical innovations for measuring nucleon-nucleon correlations and developments in the models that connect their structural aspects with their decay properties.This impressive progress should play a significant role in elucidating the mechanism of these exotic decays,probing the corresponding components inside nuclei,and providing deep insights into the open quantum nature of dripline systems.
文摘This paper focuses on the energisation of high voltage DC(HVDC)and medium voltage DC(MVDC)insulation systems,referring mainly to cables for both theoretical development and validation testing.Cable system energisation can be frequent during its lifetime,and it can possibly be affected by partial discharges(PD),because of manufacturing,laying,ageing,interfaces or structural cavities(as butt gaps).A theory-driven and measurement-based procedure is presented in this paper,having the purpose to minimise PD inception risk.This procedure is based on stepwise voltage application during cable energisation.The fundamental idea behind the proposed approach stems from considering that the jump voltage is the trigger of PD occurrence.Indeed,the jump voltage,and the consequent electric field variation,directly relates to AC PD inception voltage(PDIVAC).In addition,the electric field distribution in an insulation system is driven by insulation permittivity(capacitance)during voltage transients,and by conductivity in DC,thus the PDIVAC is generally smaller than DC PD inception voltage(PDIVDC).Hence,energising a DC cable by an initial step lower than PDIVAC,and then increasing the voltage in steps smaller than PDIVAC,would minimise the risk of PD inception during transients and the relevant degradation rate.However,this does not change,the risk of occurrence(if any)of low-repetition partial discharges at DC steady state.Effectiveness of the proposed technique is proved by the help of tests performed on cables with artificial surface and internal defects.It is shown that compared with the conventional energisation consisting of rapidly increasing voltage,the stepwise approach can reduce the risk of PD inception and related extrinsic ageing,even for the steady state voltages larger than PDIVDC.
文摘In 2021,we published our first special issue on the xu-argument in Chinese Journal of Applied Linguistics.Five years have passed since then.Over this period,second language acquisition(SLA)has undergone substantial changes.For example,the emergence of Large Language Models(LLMs)such as ChatGPT and DeepSeek has begun to reshape language teaching and learning.During the same period,the xu-argument has advanced considerably,both theoretically and methodologically.The present special issue brings together an interview and seven empirical studies,which collectively exemplify these developments.
文摘Focused on the theoretical development and practical enhancement of computer systems and algorithms,artificial intelligence(AI)is capable of performing tasks traditionally requiring human intelligence.The endocrine system is a complex biological system involving hormones and metabolites.It is a complicated network of local and systemic interactions between receptors and signaling pathways[1].The endocrine system is regulated by various factors including genetic,epigenetic,and environmental influences.A deeper understanding of the complexity of the endocrine system always lies beyond the capacities of human brains.AI is particularly suitable to deal with the complexity of the endocrine system and the long-term management of endocrine disorders.With the rapid development of AI technologies,numerous opportunities will be presented to endocrinologists.The accuracy of diagnosis and treatment will be improved,the management of chronic diseases will be optimized,and the scientific research innovation will be inspired in the era of AI[2].
文摘Dear readers,It is our pleasure to present six articles in Volume 6,Issue 4 of the Journal of Social Computing.To help readers navigate this diverse content,we have organized the papers into three thematic clusters:(1)Theoretical development in information diffusion,particularly the distribution of biases across social categories and cultural contexts.(2)Methodological contributions to contemporary research,including social experiments using multiple LLM agents and computational recommendation methods.(3)Integrated approaches combining machine learning and statistical modeling,using mental health as a case study to explore and test theory.
