The sulfation and decomposition process has proven effective in selectively extracting lithium from lepidolite.It is essential to clarify the thermochemical behavior and kinetic parameters of decomposition reactions.A...The sulfation and decomposition process has proven effective in selectively extracting lithium from lepidolite.It is essential to clarify the thermochemical behavior and kinetic parameters of decomposition reactions.Accordingly,comprehensive kinetic study by employing thermalgravimetric analysis at various heating rates was presented in this paper.Two main weight loss regions were observed during heating.The initial region corresponded to the dehydration of crystal water,whereas the subsequent region with overlapping peaks involved complex decomposition reactions.The overlapping peaks were separated into two individual reaction peaks and the activation energy of each peak was calculated using isoconversional kinetics methods.The activation energy of peak 1 exhibited a continual increase as the reaction conversion progressed,while that of peak 2 steadily decreased.The optimal kinetic models,identified as belonging to the random nucleation and subsequent growth category,provided valuable insights into the mechanism of the decomposition reactions.Furthermore,the adjustment factor was introduced to reconstruct the kinetic mechanism models,and the reconstructed models described the kinetic mechanism model more accurately for the decomposition reactions.This study enhanced the understanding of the thermochemical behavior and kinetic parameters of the lepidolite sulfation product decomposition reactions,further providing theoretical basis for promoting the selective extraction of lithium.展开更多
A relationship is established, using the least squares method, between the standard enthalpy of formation and the standard enthalpy of formation divided by the exothermic denitration decomposition peak absolute temper...A relationship is established, using the least squares method, between the standard enthalpy of formation and the standard enthalpy of formation divided by the exothermic denitration decomposition peak absolute temperature corresponding to β →0.展开更多
Standardizers are the most active element in standards development,and education is the core of standardization talent cultivation.To enrich students'experience in practical standardization work,the International ...Standardizers are the most active element in standards development,and education is the core of standardization talent cultivation.To enrich students'experience in practical standardization work,the International Standardization Youth Star Competition 2024 was held in Beijing on November 10,in which students selected from universities and colleges across China prepared proposals and drafted standards with four different themes.The competition attracted the attention of both academia and industry.展开更多
Infected necrotizing pancreatitis(INP)remains a life-threatening complication of acute pancreatitis.Despite advancements such as endoscopic ultrasound(EUS)-guided drainage,lumen-apposing metal stents,and protocolized ...Infected necrotizing pancreatitis(INP)remains a life-threatening complication of acute pancreatitis.Despite advancements such as endoscopic ultrasound(EUS)-guided drainage,lumen-apposing metal stents,and protocolized step-up strate-gies,the clinical practice remains heterogeneous,with variability in endoscopic strategies,procedural timing,device selection,and adjunctive techniques contri-buting to inconsistent outcomes.This review synthesizes current evidence to contribute to a structured framework integrating multidisciplinary team decision-making,advanced imaging(three-dimensional reconstruction,contrast-enhanced computed tomography/magnetic resonance imaging),EUS assessment,and biomarker-driven risk stratification(C-reactive protein,procalcitonin)to optimize patient selection,intervention timing,and complication management.Key stan-dardization components include endoscopic assessment and procedural strate-gies,optimal timing of intervention,personalized approaches for complex pan-creatic collections,and techniques to reduce the number of endoscopic debride-ments and mitigate complications.This work aims to enhance clinical outcomes,minimize practice heterogeneity,and establish a foundation for future research and guideline development in endoscopic management of INP.展开更多
Traditional Chinese medicine(TCM) is increasingly recognized worldwide as a valuable complementary and alternative medicine. To facilitate global research and collaboration in this field, the World Health Organization...Traditional Chinese medicine(TCM) is increasingly recognized worldwide as a valuable complementary and alternative medicine. To facilitate global research and collaboration in this field, the World Health Organization(WHO) introduced the International Standard Terminologies on Traditional Chinese Medicine in 2022. This international terminology translation standard, IST 2022, goes beyond conventional translation by embracing three innovative features: 1) It reflects TCM's foundational philosophy of unity and opposition, emphasizing the interconnectedness among TCM terms during translation. This approach transcends individual term translations to explore the interrelationships among them. 2) It preserves the integrity of TCM theory by retaining transliterations for unique TCM terms that possess distinct features. 3) It employs innovative xiang(image) cognition, a concept rooted in traditional Chinese thought by helping readers grasp visual and mental imagery associated with each term. This study presents a qualitative analysis based on interviews with 11 TCM translation experts, examining their perspectives on these features and their translational preferences across the IST 2007 and 2022 versions. These findings contribute to the standardization and global harmonization of TCM terminology, advocating for clarity, precision, and the advancement of TCM in the international healthcare arena.展开更多
Machine-learning is a robust technique for understanding pollution characteristics of surface ozone,which are at high levels in urban China.This study introduced an innovative approach combining trend decomposition wi...Machine-learning is a robust technique for understanding pollution characteristics of surface ozone,which are at high levels in urban China.This study introduced an innovative approach combining trend decomposition with Random Forest algorithm to investigate ozone dynamics and formation regimes in a coastal area of China.During the period of 2017–2022,significant inter-annual fluctuations emerged,with peaks in mid-2017 attributed to volatile organic compounds(VOCs),and in late-2019 influenced by air temperature.Multifaceted periodicities(daily,weekly,holiday,and yearly)in ozone were revealed,elucidating substantial influences of daily and yearly components on ozone periodicity.A VOC-sensitive ozone formation regime was identified,characterized by lower VOCs/NO_(x) ratios(average=0.88)and significant positive correlations between ozone and VOCs.This interplay manifested in elevated ozone duringweekends,holidays,and pandemic lockdowns.Key variables influencing ozone across diverse timescaleswere uncovered,with solar radiation and temperature driving daily and yearly ozone variations,respectively.Precursor substances,particularly VOCs,significantly shaped weekly/holiday patterns and long-term trends of ozone.Specifically,acetone,ethane,hexanal,and toluene had a notable impact on the multi-year ozone trend,emphasizing the urgency of VOC regulation.Furthermore,our observations indicated that NO_(x) primarily drived the stochastic variations in ozone,a distinguishing characteristic of regions with heavy traffic.This research provides novel insights into ozone dynamics in coastal urban areas and highlights the importance of integrating statistical and machinelearning methods in atmospheric pollution studies,with implications for targeted mitigation strategies beyond this specific region and pollutant.展开更多
Multivariate time series forecasting iswidely used in traffic planning,weather forecasting,and energy consumption.Series decomposition algorithms can help models better understand the underlying patterns of the origin...Multivariate time series forecasting iswidely used in traffic planning,weather forecasting,and energy consumption.Series decomposition algorithms can help models better understand the underlying patterns of the original series to improve the forecasting accuracy of multivariate time series.However,the decomposition kernel of previous decomposition-based models is fixed,and these models have not considered the differences in frequency fluctuations between components.These problems make it difficult to analyze the intricate temporal variations of real-world time series.In this paper,we propose a series decomposition-based Mamba model,DecMamba,to obtain the intricate temporal dependencies and the dependencies among different variables of multivariate time series.A variable-level adaptive kernel combination search module is designed to interact with information on different trends and periods between variables.Two backbone structures are proposed to emphasize the differences in frequency fluctuations of seasonal and trend components.Mamba with superior performance is used instead of a Transformer in backbone structures to capture the dependencies among different variables.A new embedding block is designed to capture the temporal features better,especially for the high-frequency seasonal component whose semantic information is difficult to acquire.A gating mechanism is introduced to the decoder in the seasonal backbone to improve the prediction accuracy.A comparison with ten state-of-the-art models on seven real-world datasets demonstrates that DecMamba can better model the temporal dependencies and the dependencies among different variables,guaranteeing better prediction performance for multivariate time series.展开更多
Fluoride-based electrolyte exhibits extraordinarily high oxidative stability in high-voltage lithium metal batteries(h-LMBs) due to the inherent low highest occupied molecular orbital(HOMO) of fiuorinated solvents. Ho...Fluoride-based electrolyte exhibits extraordinarily high oxidative stability in high-voltage lithium metal batteries(h-LMBs) due to the inherent low highest occupied molecular orbital(HOMO) of fiuorinated solvents. However, such fascinating properties do not bring long-term cyclability of h-LMBs. One of critical challenges is the interface instability in contacting with the Li metal anode, as fiuorinated solvents are highly susceptible to exceptionally reductive metallic Li attributed to its low lowest unoccupied molecular orbital(LUMO), which leads to significant consumption of the fiuorinated components upon cycling.Herein, attenuating reductive decomposition of fiuorinated electrolytes is proposed to circumvent rapid electrolyte consumption. Specifically, the vinylene carbonate(VC) is selected to tame the reduction decomposition by preferentially forming protective layer on the Li anode. This work, experimentally and computationally, demonstrates the importance of pre-passivation of Li metal anodes at high voltage to attenuate the decomposition of fiuoroethylene carbonate(FEC). It is expected to enrich the understanding of how VC attenuate the reactivity of FEC, thereby extending the cycle life of fiuorinated electrolytes in high-voltage Li-metal batteries.展开更多
The multi-objective particle swarm optimization algorithm(MOPSO)is widely used to solve multi-objective optimization problems.In the article,amulti-objective particle swarm optimization algorithmbased on decomposition...The multi-objective particle swarm optimization algorithm(MOPSO)is widely used to solve multi-objective optimization problems.In the article,amulti-objective particle swarm optimization algorithmbased on decomposition and multi-selection strategy is proposed to improve the search efficiency.First,two update strategies based on decomposition are used to update the evolving population and external archive,respectively.Second,a multiselection strategy is designed.The first strategy is for the subspace without a non-dominated solution.Among the neighbor particles,the particle with the smallest penalty-based boundary intersection value is selected as the global optimal solution and the particle far away fromthe search particle and the global optimal solution is selected as the personal optimal solution to enhance global search.The second strategy is for the subspace with a non-dominated solution.In the neighbor particles,two particles are randomly selected,one as the global optimal solution and the other as the personal optimal solution,to enhance local search.The third strategy is for Pareto optimal front(PF)discontinuity,which is identified by the cumulative number of iterations of the subspace without non-dominated solutions.In the subsequent iteration,a new probability distribution is used to select from the remaining subspaces to search.Third,an adaptive inertia weight update strategy based on the dominated degree is designed to further improve the search efficiency.Finally,the proposed algorithmis compared with fivemulti-objective particle swarm optimization algorithms and five multi-objective evolutionary algorithms on 22 test problems.The results show that the proposed algorithm has better performance.展开更多
In the independent electro-hydrogen system(IEHS)with hybrid energy storage(HESS),achieving optimal scheduling is crucial.Still,it presents a challenge due to the significant deviations in values ofmultiple optimizatio...In the independent electro-hydrogen system(IEHS)with hybrid energy storage(HESS),achieving optimal scheduling is crucial.Still,it presents a challenge due to the significant deviations in values ofmultiple optimization objective functions caused by their physical dimensions.These deviations seriously affect the scheduling process.A novel standardization fusion method has been established to address this issue by analyzing the variation process of each objective function’s values.The optimal scheduling results of IEHS with HESS indicate that the economy and overall energy loss can be improved 2–3 times under different optimization methods.The proposed method better balances all optimization objective functions and reduces the impact of their dimensionality.When the cost of BESS decreases by approximately 30%,its participation deepens by about 1 time.Moreover,if the price of the electrolyzer is less than 15¥/kWh or if the cost of the fuel cell drops below 4¥/kWh,their participation will increase substantially.This study aims to provide a more reasonable approach to solving multi-objective optimization problems.展开更多
In this paper,we prove that L(K_(x,y))(λ),theλ-fold line graph of the complete bipartite graph Ka,y,has a C_(6)-decomposition if and only if ry≥6,λxy(c+y-2)=0(mod 12)and(x+y)=0(mod 2),where x,y are nonnegative int...In this paper,we prove that L(K_(x,y))(λ),theλ-fold line graph of the complete bipartite graph Ka,y,has a C_(6)-decomposition if and only if ry≥6,λxy(c+y-2)=0(mod 12)and(x+y)=0(mod 2),where x,y are nonnegative integers and(x,y)≠(2,4)or(2,5).展开更多
State Administration for Market Regulation and National Standardization Administration of China have approved the following 416 voluntary national standards and 3 voluntary national standards with amendment.
State Administration for Market Regulation and National Standardization Administration of China have approved the following 278 voluntary national standards and 3 voluntary national standards with amendment.
State Administration for Market Regulation and National Standardization Administration of China have approved the following 26 mandatory national standards and 1 mandatory national standard with amendment.
Uzbekistan Institute of Standards(UIS),founded in 1969,is the national standardization body of Uzbekistan.There are over 32,000 national standards in Uzbekistan.Last year,UIS revised the working regulations of all tec...Uzbekistan Institute of Standards(UIS),founded in 1969,is the national standardization body of Uzbekistan.There are over 32,000 national standards in Uzbekistan.Last year,UIS revised the working regulations of all technical committees,which were established in accordance with the organizational structure of ISO.At present,UIS has standardization training courses covering 54 directions,and more than 1,700 experts have received relevant training.UIS ranks the 95th in terms of the Quality Infrastructure for Sustainable Development(QI4SD)and 80th in terms of the Global Quality Infrastructure Index(GQII).It is a member of ISO and an associate member of IEC.In the UIS,40 experts have participated in the activities of various ISO technical committees,and 251 experts have participated in the discussion of IEC projects as observer members.展开更多
The European Standardization Organizations(ESOs),CEN,CENELEC and ETSI,joined forces with ENISA,the EU Agency for Cybersecurity,to host the 9th Cybersecurity Standardization Conference on March 20 in Brussels,Belgium.
To exchange experiences and progress in standardization capacity building at home and abroad,the sub-forum on capacity building and creating leadership in standardization was held on July 9.The sub-forum was hosted by...To exchange experiences and progress in standardization capacity building at home and abroad,the sub-forum on capacity building and creating leadership in standardization was held on July 9.The sub-forum was hosted by the Qingdao Municipal People’s Government and co-organized by the International Standardization Training Base(Qingdao),Qingdao University,International Standardization Outstanding Contribution Foundation,and Shandong National Standards Center of Technical Evaluation,which was expected to inject new vitality into the industrial development and provide new ideas for improving the talent cultivation system.展开更多
We review a 3d quantum gravity model, which incorporates massive spinning fields into the Euclidean path integral in a Chern-Simons formulation. Fundamental matter as defined in our previous preon model is recapped. B...We review a 3d quantum gravity model, which incorporates massive spinning fields into the Euclidean path integral in a Chern-Simons formulation. Fundamental matter as defined in our previous preon model is recapped. Both quantum gravity and the particle model are shown to be derivable from the supersymmetric 3d Chern-Simons action. Forces-Matter unification is achieved.展开更多
If you look into the EU AI Act,you will find that the requirements are specified at a very high level.This is because the details are defined elsewhere.That is what standardization is doing.If we look at the world of ...If you look into the EU AI Act,you will find that the requirements are specified at a very high level.This is because the details are defined elsewhere.That is what standardization is doing.If we look at the world of AI standardization,there are three tiers-the international tier,the European tier and the national tier.There are also AI standardization committees at all three levels.展开更多
China Automotive Standardization Research Institute of CATARC is specialized in the standardization research and application in the automotive industry.The secretariat of SAC/TC 114 on automobiles is held by CATARC.Up...China Automotive Standardization Research Institute of CATARC is specialized in the standardization research and application in the automotive industry.The secretariat of SAC/TC 114 on automobiles is held by CATARC.Up to now,a standards system has been established,which consists of 1,586 standards(874 sectoral standards,593 voluntary national standards,and 119 mandatory national standards).展开更多
基金financially supported by the National Natural Science Foundation of China(Nos.52034002 and U2202254)the Fundamental Research Funds for the Central Universities,China(No.FRF-TT-19-001)。
文摘The sulfation and decomposition process has proven effective in selectively extracting lithium from lepidolite.It is essential to clarify the thermochemical behavior and kinetic parameters of decomposition reactions.Accordingly,comprehensive kinetic study by employing thermalgravimetric analysis at various heating rates was presented in this paper.Two main weight loss regions were observed during heating.The initial region corresponded to the dehydration of crystal water,whereas the subsequent region with overlapping peaks involved complex decomposition reactions.The overlapping peaks were separated into two individual reaction peaks and the activation energy of each peak was calculated using isoconversional kinetics methods.The activation energy of peak 1 exhibited a continual increase as the reaction conversion progressed,while that of peak 2 steadily decreased.The optimal kinetic models,identified as belonging to the random nucleation and subsequent growth category,provided valuable insights into the mechanism of the decomposition reactions.Furthermore,the adjustment factor was introduced to reconstruct the kinetic mechanism models,and the reconstructed models described the kinetic mechanism model more accurately for the decomposition reactions.This study enhanced the understanding of the thermochemical behavior and kinetic parameters of the lepidolite sulfation product decomposition reactions,further providing theoretical basis for promoting the selective extraction of lithium.
文摘A relationship is established, using the least squares method, between the standard enthalpy of formation and the standard enthalpy of formation divided by the exothermic denitration decomposition peak absolute temperature corresponding to β →0.
文摘Standardizers are the most active element in standards development,and education is the core of standardization talent cultivation.To enrich students'experience in practical standardization work,the International Standardization Youth Star Competition 2024 was held in Beijing on November 10,in which students selected from universities and colleges across China prepared proposals and drafted standards with four different themes.The competition attracted the attention of both academia and industry.
基金Supported by the Education and Teaching Reform Project of the First Clinical College of Chongqing Medical University,No.CMER202305Natural Science Foundation of Xizang Autonomous Region,No.XZ2024ZR-ZY100(Z)Program for Youth Innovation in Future Medicine,Chongqing Medical University,China,No.W0138.
文摘Infected necrotizing pancreatitis(INP)remains a life-threatening complication of acute pancreatitis.Despite advancements such as endoscopic ultrasound(EUS)-guided drainage,lumen-apposing metal stents,and protocolized step-up strate-gies,the clinical practice remains heterogeneous,with variability in endoscopic strategies,procedural timing,device selection,and adjunctive techniques contri-buting to inconsistent outcomes.This review synthesizes current evidence to contribute to a structured framework integrating multidisciplinary team decision-making,advanced imaging(three-dimensional reconstruction,contrast-enhanced computed tomography/magnetic resonance imaging),EUS assessment,and biomarker-driven risk stratification(C-reactive protein,procalcitonin)to optimize patient selection,intervention timing,and complication management.Key stan-dardization components include endoscopic assessment and procedural strate-gies,optimal timing of intervention,personalized approaches for complex pan-creatic collections,and techniques to reduce the number of endoscopic debride-ments and mitigate complications.This work aims to enhance clinical outcomes,minimize practice heterogeneity,and establish a foundation for future research and guideline development in endoscopic management of INP.
基金financed by the grants from the Research Program of Sichuan TCM Culture Coordinated Development Research Center (No. 2021XT31)National Traditional Chinese Medicine Examination Research Project (No. TC2023019)National Innovation & Entrepreneurship Training Program for College Students (No. 202210633008X)。
文摘Traditional Chinese medicine(TCM) is increasingly recognized worldwide as a valuable complementary and alternative medicine. To facilitate global research and collaboration in this field, the World Health Organization(WHO) introduced the International Standard Terminologies on Traditional Chinese Medicine in 2022. This international terminology translation standard, IST 2022, goes beyond conventional translation by embracing three innovative features: 1) It reflects TCM's foundational philosophy of unity and opposition, emphasizing the interconnectedness among TCM terms during translation. This approach transcends individual term translations to explore the interrelationships among them. 2) It preserves the integrity of TCM theory by retaining transliterations for unique TCM terms that possess distinct features. 3) It employs innovative xiang(image) cognition, a concept rooted in traditional Chinese thought by helping readers grasp visual and mental imagery associated with each term. This study presents a qualitative analysis based on interviews with 11 TCM translation experts, examining their perspectives on these features and their translational preferences across the IST 2007 and 2022 versions. These findings contribute to the standardization and global harmonization of TCM terminology, advocating for clarity, precision, and the advancement of TCM in the international healthcare arena.
基金supported by Ningbo Natural Science Foundation(No.2023J059)Ningbo Commonweal Programme Key Project(No.2023S038)Guangxi Key Research and Development Programme(No.GuikeAB21220063).
文摘Machine-learning is a robust technique for understanding pollution characteristics of surface ozone,which are at high levels in urban China.This study introduced an innovative approach combining trend decomposition with Random Forest algorithm to investigate ozone dynamics and formation regimes in a coastal area of China.During the period of 2017–2022,significant inter-annual fluctuations emerged,with peaks in mid-2017 attributed to volatile organic compounds(VOCs),and in late-2019 influenced by air temperature.Multifaceted periodicities(daily,weekly,holiday,and yearly)in ozone were revealed,elucidating substantial influences of daily and yearly components on ozone periodicity.A VOC-sensitive ozone formation regime was identified,characterized by lower VOCs/NO_(x) ratios(average=0.88)and significant positive correlations between ozone and VOCs.This interplay manifested in elevated ozone duringweekends,holidays,and pandemic lockdowns.Key variables influencing ozone across diverse timescaleswere uncovered,with solar radiation and temperature driving daily and yearly ozone variations,respectively.Precursor substances,particularly VOCs,significantly shaped weekly/holiday patterns and long-term trends of ozone.Specifically,acetone,ethane,hexanal,and toluene had a notable impact on the multi-year ozone trend,emphasizing the urgency of VOC regulation.Furthermore,our observations indicated that NO_(x) primarily drived the stochastic variations in ozone,a distinguishing characteristic of regions with heavy traffic.This research provides novel insights into ozone dynamics in coastal urban areas and highlights the importance of integrating statistical and machinelearning methods in atmospheric pollution studies,with implications for targeted mitigation strategies beyond this specific region and pollutant.
基金supported in part by the Interdisciplinary Project of Dalian University(DLUXK-2023-ZD-001).
文摘Multivariate time series forecasting iswidely used in traffic planning,weather forecasting,and energy consumption.Series decomposition algorithms can help models better understand the underlying patterns of the original series to improve the forecasting accuracy of multivariate time series.However,the decomposition kernel of previous decomposition-based models is fixed,and these models have not considered the differences in frequency fluctuations between components.These problems make it difficult to analyze the intricate temporal variations of real-world time series.In this paper,we propose a series decomposition-based Mamba model,DecMamba,to obtain the intricate temporal dependencies and the dependencies among different variables of multivariate time series.A variable-level adaptive kernel combination search module is designed to interact with information on different trends and periods between variables.Two backbone structures are proposed to emphasize the differences in frequency fluctuations of seasonal and trend components.Mamba with superior performance is used instead of a Transformer in backbone structures to capture the dependencies among different variables.A new embedding block is designed to capture the temporal features better,especially for the high-frequency seasonal component whose semantic information is difficult to acquire.A gating mechanism is introduced to the decoder in the seasonal backbone to improve the prediction accuracy.A comparison with ten state-of-the-art models on seven real-world datasets demonstrates that DecMamba can better model the temporal dependencies and the dependencies among different variables,guaranteeing better prediction performance for multivariate time series.
基金supported by the National Natural Science Foundation of China (Nos. 22379121, 62005216)Basic Public Welfare Research Program of Zhejiang (No. LQ22F050013)+1 种基金Zhejiang Province Key Laboratory of Flexible Electronics Open Fund (2023FE005)Shenzhen Foundation Research Program (No. JCYJ20220530112812028)。
文摘Fluoride-based electrolyte exhibits extraordinarily high oxidative stability in high-voltage lithium metal batteries(h-LMBs) due to the inherent low highest occupied molecular orbital(HOMO) of fiuorinated solvents. However, such fascinating properties do not bring long-term cyclability of h-LMBs. One of critical challenges is the interface instability in contacting with the Li metal anode, as fiuorinated solvents are highly susceptible to exceptionally reductive metallic Li attributed to its low lowest unoccupied molecular orbital(LUMO), which leads to significant consumption of the fiuorinated components upon cycling.Herein, attenuating reductive decomposition of fiuorinated electrolytes is proposed to circumvent rapid electrolyte consumption. Specifically, the vinylene carbonate(VC) is selected to tame the reduction decomposition by preferentially forming protective layer on the Li anode. This work, experimentally and computationally, demonstrates the importance of pre-passivation of Li metal anodes at high voltage to attenuate the decomposition of fiuoroethylene carbonate(FEC). It is expected to enrich the understanding of how VC attenuate the reactivity of FEC, thereby extending the cycle life of fiuorinated electrolytes in high-voltage Li-metal batteries.
基金supported by National Natural Science Foundations of China(nos.12271326,62102304,61806120,61502290,61672334,61673251)China Postdoctoral Science Foundation(no.2015M582606)+2 种基金Industrial Research Project of Science and Technology in Shaanxi Province(nos.2015GY016,2017JQ6063)Fundamental Research Fund for the Central Universities(no.GK202003071)Natural Science Basic Research Plan in Shaanxi Province of China(no.2022JM-354).
文摘The multi-objective particle swarm optimization algorithm(MOPSO)is widely used to solve multi-objective optimization problems.In the article,amulti-objective particle swarm optimization algorithmbased on decomposition and multi-selection strategy is proposed to improve the search efficiency.First,two update strategies based on decomposition are used to update the evolving population and external archive,respectively.Second,a multiselection strategy is designed.The first strategy is for the subspace without a non-dominated solution.Among the neighbor particles,the particle with the smallest penalty-based boundary intersection value is selected as the global optimal solution and the particle far away fromthe search particle and the global optimal solution is selected as the personal optimal solution to enhance global search.The second strategy is for the subspace with a non-dominated solution.In the neighbor particles,two particles are randomly selected,one as the global optimal solution and the other as the personal optimal solution,to enhance local search.The third strategy is for Pareto optimal front(PF)discontinuity,which is identified by the cumulative number of iterations of the subspace without non-dominated solutions.In the subsequent iteration,a new probability distribution is used to select from the remaining subspaces to search.Third,an adaptive inertia weight update strategy based on the dominated degree is designed to further improve the search efficiency.Finally,the proposed algorithmis compared with fivemulti-objective particle swarm optimization algorithms and five multi-objective evolutionary algorithms on 22 test problems.The results show that the proposed algorithm has better performance.
基金sponsored by R&D Program of Beijing Municipal Education Commission(KM202410009013).
文摘In the independent electro-hydrogen system(IEHS)with hybrid energy storage(HESS),achieving optimal scheduling is crucial.Still,it presents a challenge due to the significant deviations in values ofmultiple optimization objective functions caused by their physical dimensions.These deviations seriously affect the scheduling process.A novel standardization fusion method has been established to address this issue by analyzing the variation process of each objective function’s values.The optimal scheduling results of IEHS with HESS indicate that the economy and overall energy loss can be improved 2–3 times under different optimization methods.The proposed method better balances all optimization objective functions and reduces the impact of their dimensionality.When the cost of BESS decreases by approximately 30%,its participation deepens by about 1 time.Moreover,if the price of the electrolyzer is less than 15¥/kWh or if the cost of the fuel cell drops below 4¥/kWh,their participation will increase substantially.This study aims to provide a more reasonable approach to solving multi-objective optimization problems.
文摘In this paper,we prove that L(K_(x,y))(λ),theλ-fold line graph of the complete bipartite graph Ka,y,has a C_(6)-decomposition if and only if ry≥6,λxy(c+y-2)=0(mod 12)and(x+y)=0(mod 2),where x,y are nonnegative integers and(x,y)≠(2,4)or(2,5).
文摘State Administration for Market Regulation and National Standardization Administration of China have approved the following 416 voluntary national standards and 3 voluntary national standards with amendment.
文摘State Administration for Market Regulation and National Standardization Administration of China have approved the following 278 voluntary national standards and 3 voluntary national standards with amendment.
文摘State Administration for Market Regulation and National Standardization Administration of China have approved the following 26 mandatory national standards and 1 mandatory national standard with amendment.
文摘Uzbekistan Institute of Standards(UIS),founded in 1969,is the national standardization body of Uzbekistan.There are over 32,000 national standards in Uzbekistan.Last year,UIS revised the working regulations of all technical committees,which were established in accordance with the organizational structure of ISO.At present,UIS has standardization training courses covering 54 directions,and more than 1,700 experts have received relevant training.UIS ranks the 95th in terms of the Quality Infrastructure for Sustainable Development(QI4SD)and 80th in terms of the Global Quality Infrastructure Index(GQII).It is a member of ISO and an associate member of IEC.In the UIS,40 experts have participated in the activities of various ISO technical committees,and 251 experts have participated in the discussion of IEC projects as observer members.
文摘The European Standardization Organizations(ESOs),CEN,CENELEC and ETSI,joined forces with ENISA,the EU Agency for Cybersecurity,to host the 9th Cybersecurity Standardization Conference on March 20 in Brussels,Belgium.
文摘To exchange experiences and progress in standardization capacity building at home and abroad,the sub-forum on capacity building and creating leadership in standardization was held on July 9.The sub-forum was hosted by the Qingdao Municipal People’s Government and co-organized by the International Standardization Training Base(Qingdao),Qingdao University,International Standardization Outstanding Contribution Foundation,and Shandong National Standards Center of Technical Evaluation,which was expected to inject new vitality into the industrial development and provide new ideas for improving the talent cultivation system.
文摘We review a 3d quantum gravity model, which incorporates massive spinning fields into the Euclidean path integral in a Chern-Simons formulation. Fundamental matter as defined in our previous preon model is recapped. Both quantum gravity and the particle model are shown to be derivable from the supersymmetric 3d Chern-Simons action. Forces-Matter unification is achieved.
文摘If you look into the EU AI Act,you will find that the requirements are specified at a very high level.This is because the details are defined elsewhere.That is what standardization is doing.If we look at the world of AI standardization,there are three tiers-the international tier,the European tier and the national tier.There are also AI standardization committees at all three levels.
文摘China Automotive Standardization Research Institute of CATARC is specialized in the standardization research and application in the automotive industry.The secretariat of SAC/TC 114 on automobiles is held by CATARC.Up to now,a standards system has been established,which consists of 1,586 standards(874 sectoral standards,593 voluntary national standards,and 119 mandatory national standards).
