With the rapid development of generative artificial intelligence(GenAI),the task of story visualization,which transforms natural language narratives into coherent and consistent image sequences,has attracted growing r...With the rapid development of generative artificial intelligence(GenAI),the task of story visualization,which transforms natural language narratives into coherent and consistent image sequences,has attracted growing research attention.However,existing methods still face limitations in balancing multi-frame character consistency and generation efficiency,which restricts their feasibility for large-scale practical applications.To address this issue,this study proposes a modular cloud-based distributed system built on Stable Diffusion.By separating the character generation and story generation processes,and integratingmulti-feature control techniques,a cachingmechanism,and an asynchronous task queue architecture,the system enhances generation efficiency and scalability.The experimental design includes both automated and human evaluations of character consistency,performance testing,and multinode simulation.The results show that the proposed system outperforms the baseline model StoryGen in both CLIP-I and human evaluation metrics.In terms of performance,under the experimental environment of this study,dual-node deployment reduces average waiting time by approximately 19%,while the four-node simulation further reduces it by up to 65%.Overall,this study demonstrates the advantages of cloud-distributed GenAI in maintaining character consistency and reducing generation latency,highlighting its potential value inmulti-user collaborative story visualization applications.展开更多
Cloud-based satellite and terrestrial spectrum shared networks(CB-STSSN)combines the triple advantages of efficient and flexible net-work management of heterogeneous cloud access(H-CRAN),vast coverage of satellite net...Cloud-based satellite and terrestrial spectrum shared networks(CB-STSSN)combines the triple advantages of efficient and flexible net-work management of heterogeneous cloud access(H-CRAN),vast coverage of satellite networks,and good communication quality of terrestrial networks.Thanks to the complementary coverage characteristics,any-time and anywhere high-speed communications can be achieved to meet the various needs of users.The scarcity of spectrum resources is a common prob-lem in both satellite and terrestrial networks.In or-der to improve resource utilization,the spectrum is shared not only within each component but also be-tween satellite beams and terrestrial cells,which intro-duces inter-component interferences.To this end,this paper first proposes an analytical framework which considers the inter-component interferences induced by spectrum sharing(SS).An intelligent SS scheme based on radio map(RM)consisting of LSTM-based beam prediction(BP),transfer learning-based spec-trum prediction(SP)and joint non-preemptive prior-ity and preemptive priority(J-NPAP)-based propor-tional fair spectrum allocation is than proposed.The simulation result shows that the spectrum utilization rate of CB-STSSN is improved and user blocking rate and waiting probability are decreased by the proposed scheme.展开更多
In order to improve the efficiency of cloud-based web services,an improved plant growth simulation algorithm scheduling model.This model first used mathematical methods to describe the relationships between cloud-base...In order to improve the efficiency of cloud-based web services,an improved plant growth simulation algorithm scheduling model.This model first used mathematical methods to describe the relationships between cloud-based web services and the constraints of system resources.Then,a light-induced plant growth simulation algorithm was established.The performance of the algorithm was compared through several plant types,and the best plant model was selected as the setting for the system.Experimental results show that when the number of test cloud-based web services reaches 2048,the model being 2.14 times faster than PSO,2.8 times faster than the ant colony algorithm,2.9 times faster than the bee colony algorithm,and a remarkable 8.38 times faster than the genetic algorithm.展开更多
Precisely forecasting the performance of Deep Learning(DL)models,particularly in critical areas such as Uniform Resource Locator(URL)-based threat detection,aids in improving systems developed for difficult tasks.In c...Precisely forecasting the performance of Deep Learning(DL)models,particularly in critical areas such as Uniform Resource Locator(URL)-based threat detection,aids in improving systems developed for difficult tasks.In cybersecurity,recognizing harmful URLs is vital to lowering risks associated with phishing,malware,and other online-based attacks.Since it directly affects the model’s capacity to differentiate between benign and harmful URLs,finding the optimum mix of hyperparameters in DL models is a significant difficulty.Two commonly used architectures for sequential and spatial data processing,Long Short-Term Memory(LSTM)/Gated Recurrent Unit(GRU)and Convolutional Neural Network(CNN)/Long Short-Term Memory(LSTM)models are targeted in this study to have higher predictive capacity by modifying crucial hyperparameters such as learning rate,batch size,and dropout rate using cloud capability.Research finds the best settings for the models by testing 50 dropout rates(between 0.1 and 0.5)with different learning rates and batch sizes.Performances were measured in the form of accuracy,precision,recall,F1-score,and errors such as Mean Absolute Error(MAE),Mean Squared Error(MSE),Root Mean Squared Error(RMSE)and Mean Absolute Percent Error(MAPE).In our results,CNN/LSTM performed better often than LSTM/GRU,with up to 10%better F1-score and much lower MAPE when the learning rate was 0.001 and the dropout rate was 0.2.These results show the value of fine-tuning hyperparameters to increase model performance and reduce errors.Higher on many of the parameters,CNN/LSTM architecture became obvious as the more trustworthy one.It also discussed the importance of DL in enhancing URL attack detection mechanisms to provide increased accuracy and precision for real-world cybersecurity.展开更多
The integration of 5G technology with cloud-based control systems in industrial robots holds significant promise for the future of industrial automation.With its ultra-low latency,high data transfer speeds,and massive...The integration of 5G technology with cloud-based control systems in industrial robots holds significant promise for the future of industrial automation.With its ultra-low latency,high data transfer speeds,and massive connectivity,5G is poised to revolutionize real-time communication and coordination in manufacturing environments.This paper explores the prospects and challenges of applying 5G technology in industrial robots,focusing on cloud-based control systems that enable scalable,flexible,and efficient operations.Key advantages of 5G,including improved communication speed,enhanced real-time control,scalability,and predictive maintenance capabilities,are discussed.However,the transition to 5G also presents challenges,such as network reliability,security concerns,integration with legacy systems,and high implementation costs.The paper also examines case studies in the automotive,electronics,and aerospace industries,providing real-world examples of 5G adoption in industrial automation.The conclusion highlights key insights and outlines potential research directions for overcoming existing barriers and fully realizing the potential of 5G technology in industrial robot control.展开更多
Corporate environmental sustainability has become a critical concern,particularly in resource-intensive industries such as pharmaceuticals,where regulatory pressures and stakeholder expectations continue to rise.Despi...Corporate environmental sustainability has become a critical concern,particularly in resource-intensive industries such as pharmaceuticals,where regulatory pressures and stakeholder expectations continue to rise.Despite increasing attention to green leadership,limited research has explored how environmentally responsible leadership(ERL)influences corporate environmental performance(CEP)through employee-driven sustainability behaviors.This study addresses this gap by examining the mediating roles of green knowledge-sharing behavior(GKSB),green innovative behavior(GIB),and voluntary green behavior(VGB),as well as the moderating role of green shared vision(GSV)in the ERL-CEP relationship.The study is grounded in Resource-Based View(RBV),Knowledge-Based View(KBV),Environmental-Based View(EBV),and Triple Bottom Line(TBL)theories,which collectively explain how leadership-driven sustainability efforts create long-term competitive advantages,drive environmental responsibility,and balance economic,social,and environmental sustainability.A quantitative research design was employed,using survey data from 384 employees in Bangladesh’s pharmaceutical sector.Data were analyzed using Partial Least Squares Structural Equation Modeling(PLS-SEM)in Smart-PLS 4.0 to assess direct,indirect,and moderating effects.The results confirm that ERL has a significant positive impact on CEP,with GKSB,GIB,and VGB acting as mediators,while GSV strengthens the ERL-CEP relationship.This study provides novel empirical evidence on the mechanisms linking green leadership to corporate sustainability,extending the application of RBV,KBV,EBV,and TBL to leadership-driven environmental management.The findings emphasize the importance of leadership training programs,sustainability-focused organizational cultures,and shared environmental visions.Policymakers should consider incentives for companies adopting ERL practices,ensuring that sustainability becomes a strategic,rather than compliance-driven,priority.This study contributes to leadership and sustainability literature by offering a comprehensive framework for integrating ERL into corporate governance and environmental strategies.展开更多
At the 2024 Beijing Forum on China-Africa Cooperation(FOCAC)held in September last year,Chinese President Xi Jinping proposed that the overall characterisation of China-Africa relations be elevated to an all-weather C...At the 2024 Beijing Forum on China-Africa Cooperation(FOCAC)held in September last year,Chinese President Xi Jinping proposed that the overall characterisation of China-Africa relations be elevated to an all-weather China-Africa community with a shared future for the new era.“This declaration affirms,whether faced with pandemic or geopolitical shifts,Africa and China will still remain each other’s most trustworthy true partners,”said Inkosi Mzamo Buthelezi,South Africa’s minister of public service and administration.展开更多
On February 5, the Dialogue on Building a China-Laos Community with a Shared Future, themed “Focusing on the ‘Action Plan,’ Creating a Better Future Together,” took place in Vientiane, Laos.The opening ceremony fe...On February 5, the Dialogue on Building a China-Laos Community with a Shared Future, themed “Focusing on the ‘Action Plan,’ Creating a Better Future Together,” took place in Vientiane, Laos.The opening ceremony featured speeches by several distinguished vips including Fang Hong, Chinese ambassador to Laos, Daosavanh Kheugmixai, vice president of the Lao National Academy of Politics and Public Administration, Yu Yunquan, vice president of the China International Communications Group (CICG),Sakhon Phommalat, deputy head of the Propaganda and Training Board of the Lao People’s Revolutionary Party (LPRP) Central Committee, Sun Jisheng, vice president of China Foreign Affairs University (CFAU),and Vadthuninyom Duangmala,president of the Diplomatic Academy of Laos.展开更多
Amid the increasing demand for data sharing,the need for flexible,secure,and auditable access control mechanisms has garnered significant attention in the academic community.However,blockchain-based ciphertextpolicy a...Amid the increasing demand for data sharing,the need for flexible,secure,and auditable access control mechanisms has garnered significant attention in the academic community.However,blockchain-based ciphertextpolicy attribute-based encryption(CP-ABE)schemes still face cumbersome ciphertext re-encryption and insufficient oversight when handling dynamic attribute changes and cross-chain collaboration.To address these issues,we propose a dynamic permission attribute-encryption scheme for multi-chain collaboration.This scheme incorporates a multiauthority architecture for distributed attribute management and integrates an attribute revocation and granting mechanism that eliminates the need for ciphertext re-encryption,effectively reducing both computational and communication overhead.It leverages the InterPlanetary File System(IPFS)for off-chain data storage and constructs a cross-chain regulatory framework—comprising a Hyperledger Fabric business chain and a FISCO BCOS regulatory chain—to record changes in decryption privileges and access behaviors in an auditable manner.Security analysis shows selective indistinguishability under chosen-plaintext attack(sIND-CPA)security under the decisional q-Parallel Bilinear Diffie-Hellman Exponent Assumption(q-PBDHE).In the performance and experimental evaluations,we compared the proposed scheme with several advanced schemes.The results show that,while preserving security,the proposed scheme achieves higher encryption/decryption efficiency and lower storage overhead for ciphertexts and keys.展开更多
On the occasion of the 65th anniversary of the establishment of diplomatic relations between China and Laos,I wish to express,on behalf of the Embassy of the People's Republic of China in the Lao People's Demo...On the occasion of the 65th anniversary of the establishment of diplomatic relations between China and Laos,I wish to express,on behalf of the Embassy of the People's Republic of China in the Lao People's Democratic Republic,our sincere gratitude and highest respect to all friends and personages from various sectors in both countries who have long cared about and supported the development of our bilateral relations.展开更多
Fifty-five-year-old Shi Yizhong never imagined fireflies could become the foundation of a serious business.In 2022,Longshan Village in Huzhou’s Wuxing District collaborated with a young entrepreneurial team to create...Fifty-five-year-old Shi Yizhong never imagined fireflies could become the foundation of a serious business.In 2022,Longshan Village in Huzhou’s Wuxing District collaborated with a young entrepreneurial team to create a firefly campsite-a natural attraction where visitors can observe these glowing insects in a preserved habitat.The site quickly drew waves of tourists,who shared their experience online,recouping its initial investment in just two years.展开更多
Can the sharing economy contribute to urban sustainability?This study explores this question using the staggered entry of bike-sharing platforms across Chinese cities as a quasi-natural experiment.Drawing on 2015-2017...Can the sharing economy contribute to urban sustainability?This study explores this question using the staggered entry of bike-sharing platforms across Chinese cities as a quasi-natural experiment.Drawing on 2015-2017 city characteristics panel data and monthly CO_(2) emission records,we employ a staggered difference-in-differences(DID)model to assess the impact of bike-sharing on per capita urban CO_(2) emissions.The results show that bike-sharing platforms significantly cut emissions by replacing high-carbon transport and boosting public adoption of shared bikes.This effect is more potent in cities with less stringent environmental enforcement,more advanced digital economies,greater technological innovation,and where two platforms jointly entered.By elucidating the mechanisms underlying bike-sharing’s carbon-reduction potential,this study highlights its role in urban sustainability.It offers policy insights for leveraging shared mobility to reduce city carbon emissions.展开更多
The year 2026 marks the 65th anniversary of the establishment of diplomatic relations between China and Laos.The bilateral relations are now at a new starting point where the past has been inherited and a course for t...The year 2026 marks the 65th anniversary of the establishment of diplomatic relations between China and Laos.The bilateral relations are now at a new starting point where the past has been inherited and a course for the future has been set.Looking back,China and Laos have weathered storms together and stood by each other.展开更多
Learning from the wisdom and insights of others remains one of the most effective paths to progress.This is the driving force behind our commitment to experience sharing.The March/April issue features three renowned i...Learning from the wisdom and insights of others remains one of the most effective paths to progress.This is the driving force behind our commitment to experience sharing.The March/April issue features three renowned international standardization experts who share their journeys,the strategic"hows and whys"of global participation,and the critical role of stakeholder engagement in shaping the future of the industry.展开更多
As China and Laos mark the 65th anniversary of their diplomatic relations,the two socialist neighbors stand at a new historical starting point.From revolutionary comrades-in-arms to comprehensive strategic partners,Ch...As China and Laos mark the 65th anniversary of their diplomatic relations,the two socialist neighbors stand at a new historical starting point.From revolutionary comrades-in-arms to comprehensive strategic partners,China and Laos have steadily deepened their bond as"good neighbors,good friends,good comrades,and good partners."展开更多
As a Burundian doctoral student at Nanjing University,my personal journey is closely intertwined with China’s development in the new era and the deepening China-Africa partnership.Recently,my experiences have given m...As a Burundian doctoral student at Nanjing University,my personal journey is closely intertwined with China’s development in the new era and the deepening China-Africa partnership.Recently,my experiences have given me a deeper appreciation of the importance of people-to-people exchanges between China and Africa.展开更多
The year 2026 marks the 65th anniversary of diplomatic ties between China and Laos.During their meeting in Beijing in September 2025,Chinese President Xi Jinping and Lao President Thongloun Sisoulith stressed a need t...The year 2026 marks the 65th anniversary of diplomatic ties between China and Laos.During their meeting in Beijing in September 2025,Chinese President Xi Jinping and Lao President Thongloun Sisoulith stressed a need to advance the construction of the China Laos Economic Corridor and deliver more substantive results across all areas of cooperation.展开更多
Shared energy storage helps lower user investment costs and enhances energy efficiency,which is considered a pivotal driver in accelerating the green transition of energy sectors.In view of the increasing demand for h...Shared energy storage helps lower user investment costs and enhances energy efficiency,which is considered a pivotal driver in accelerating the green transition of energy sectors.In view of the increasing demand for hydrogen,this paper proposes a bi-level optimization of configurations and scheduling for combined cooling,heating,and power(CCHP)microgrid systems considering shared hybrid electric-hydrogen energy storage service.The upper-level model addresses the capacity allocation problem of energy storage stations,while the lower-level model optimizes the operational strategies for the multi-microgrid system(MMS).To resolve the complexity of the coupled bi-level problem,Karush-Kuhn-Tucker(KKT)conditions and the Big-M method are applied to reformulate it into a solvable mixed-integer linear programming(MILP)model,compatible with CPLEX.The economic viability and rationality of the proposed approach are verified through comparisons of three cases.Numerical results show that the proposed approach reduces user annual costs by 20.15%compared to MMS without additional energy storage equipment and achieves 100%renewable absorption.For operators,it yields 5.71 M CNY annual profit with 3.02-year payback.Compared to MMS with electricity sharing,it further cuts user costs by 3.84%,boosts operator profit by 60.71%,and shortens payback by 15.88%.展开更多
Vehicular communication systems rely on secure vehicle-to-vehicle(V2V)communications for safety-critical information exchange.However,the presence of eavesdropping vehicles poses a significant challenge.This paper inv...Vehicular communication systems rely on secure vehicle-to-vehicle(V2V)communications for safety-critical information exchange.However,the presence of eavesdropping vehicles poses a significant challenge.This paper investigates the security of V2V communications in reconfigurable intelligent surface(RIS)-assisted vehicular communication systems with spectrum sharing.It proposes a three-stage alternating optimization(TSAO)algorithm to address the complex problem of multiple eavesdropped V2V links that reuse the spectrum already occupied by vehicle-toinfrastructure(V2I)links.To solve the mixed-integer and non-convex optimization problem due to coupled variables and complex constraints,the algorithm decomposes the original problem into three easily solvable sub-problems:RIS reflection coefficient optimization,vehicle transmission power optimization,and spectrum sharing optimization.First,the RIS reflection coefficients are optimized by using the penalty convex-concave procedure(CCP)method.Second,the optimal power points are determined in the power optimization sub-problem.Finally,the spectrum sharing optimization sub-problem is constructed as a weighted bipartite graph matching problem and solved by using the optimal matching algorithm.The TSAO algorithm not only maximizes the sum V2V secrecy rate but also ensures the quality-of-service(QoS)requirements of the V2I links.Simulation results validate the superiority of the proposed algorithm and highlight the improvement in the sum V2V secrecy rate achieved by utilizing RIS technology in vehicular communication systems with spectrum sharing.展开更多
文摘With the rapid development of generative artificial intelligence(GenAI),the task of story visualization,which transforms natural language narratives into coherent and consistent image sequences,has attracted growing research attention.However,existing methods still face limitations in balancing multi-frame character consistency and generation efficiency,which restricts their feasibility for large-scale practical applications.To address this issue,this study proposes a modular cloud-based distributed system built on Stable Diffusion.By separating the character generation and story generation processes,and integratingmulti-feature control techniques,a cachingmechanism,and an asynchronous task queue architecture,the system enhances generation efficiency and scalability.The experimental design includes both automated and human evaluations of character consistency,performance testing,and multinode simulation.The results show that the proposed system outperforms the baseline model StoryGen in both CLIP-I and human evaluation metrics.In terms of performance,under the experimental environment of this study,dual-node deployment reduces average waiting time by approximately 19%,while the four-node simulation further reduces it by up to 65%.Overall,this study demonstrates the advantages of cloud-distributed GenAI in maintaining character consistency and reducing generation latency,highlighting its potential value inmulti-user collaborative story visualization applications.
基金the National Nat-ural Science Foundation of China under Grants 61771163the Natural Science Foundation for Out-standing Young Scholars of Heilongjiang Province un-der Grant YQ2020F001the Science and Technol-ogy on Communication Networks Laboratory under Grants SXX19641X072 and SXX18641X028.(Cor-respondence author:Min Jia)。
文摘Cloud-based satellite and terrestrial spectrum shared networks(CB-STSSN)combines the triple advantages of efficient and flexible net-work management of heterogeneous cloud access(H-CRAN),vast coverage of satellite networks,and good communication quality of terrestrial networks.Thanks to the complementary coverage characteristics,any-time and anywhere high-speed communications can be achieved to meet the various needs of users.The scarcity of spectrum resources is a common prob-lem in both satellite and terrestrial networks.In or-der to improve resource utilization,the spectrum is shared not only within each component but also be-tween satellite beams and terrestrial cells,which intro-duces inter-component interferences.To this end,this paper first proposes an analytical framework which considers the inter-component interferences induced by spectrum sharing(SS).An intelligent SS scheme based on radio map(RM)consisting of LSTM-based beam prediction(BP),transfer learning-based spec-trum prediction(SP)and joint non-preemptive prior-ity and preemptive priority(J-NPAP)-based propor-tional fair spectrum allocation is than proposed.The simulation result shows that the spectrum utilization rate of CB-STSSN is improved and user blocking rate and waiting probability are decreased by the proposed scheme.
基金Shanxi Province Higher Education Science and Technology Innovation Fund Project(2022-676)Shanxi Soft Science Program Research Fund Project(2016041008-6)。
文摘In order to improve the efficiency of cloud-based web services,an improved plant growth simulation algorithm scheduling model.This model first used mathematical methods to describe the relationships between cloud-based web services and the constraints of system resources.Then,a light-induced plant growth simulation algorithm was established.The performance of the algorithm was compared through several plant types,and the best plant model was selected as the setting for the system.Experimental results show that when the number of test cloud-based web services reaches 2048,the model being 2.14 times faster than PSO,2.8 times faster than the ant colony algorithm,2.9 times faster than the bee colony algorithm,and a remarkable 8.38 times faster than the genetic algorithm.
文摘Precisely forecasting the performance of Deep Learning(DL)models,particularly in critical areas such as Uniform Resource Locator(URL)-based threat detection,aids in improving systems developed for difficult tasks.In cybersecurity,recognizing harmful URLs is vital to lowering risks associated with phishing,malware,and other online-based attacks.Since it directly affects the model’s capacity to differentiate between benign and harmful URLs,finding the optimum mix of hyperparameters in DL models is a significant difficulty.Two commonly used architectures for sequential and spatial data processing,Long Short-Term Memory(LSTM)/Gated Recurrent Unit(GRU)and Convolutional Neural Network(CNN)/Long Short-Term Memory(LSTM)models are targeted in this study to have higher predictive capacity by modifying crucial hyperparameters such as learning rate,batch size,and dropout rate using cloud capability.Research finds the best settings for the models by testing 50 dropout rates(between 0.1 and 0.5)with different learning rates and batch sizes.Performances were measured in the form of accuracy,precision,recall,F1-score,and errors such as Mean Absolute Error(MAE),Mean Squared Error(MSE),Root Mean Squared Error(RMSE)and Mean Absolute Percent Error(MAPE).In our results,CNN/LSTM performed better often than LSTM/GRU,with up to 10%better F1-score and much lower MAPE when the learning rate was 0.001 and the dropout rate was 0.2.These results show the value of fine-tuning hyperparameters to increase model performance and reduce errors.Higher on many of the parameters,CNN/LSTM architecture became obvious as the more trustworthy one.It also discussed the importance of DL in enhancing URL attack detection mechanisms to provide increased accuracy and precision for real-world cybersecurity.
文摘The integration of 5G technology with cloud-based control systems in industrial robots holds significant promise for the future of industrial automation.With its ultra-low latency,high data transfer speeds,and massive connectivity,5G is poised to revolutionize real-time communication and coordination in manufacturing environments.This paper explores the prospects and challenges of applying 5G technology in industrial robots,focusing on cloud-based control systems that enable scalable,flexible,and efficient operations.Key advantages of 5G,including improved communication speed,enhanced real-time control,scalability,and predictive maintenance capabilities,are discussed.However,the transition to 5G also presents challenges,such as network reliability,security concerns,integration with legacy systems,and high implementation costs.The paper also examines case studies in the automotive,electronics,and aerospace industries,providing real-world examples of 5G adoption in industrial automation.The conclusion highlights key insights and outlines potential research directions for overcoming existing barriers and fully realizing the potential of 5G technology in industrial robot control.
文摘Corporate environmental sustainability has become a critical concern,particularly in resource-intensive industries such as pharmaceuticals,where regulatory pressures and stakeholder expectations continue to rise.Despite increasing attention to green leadership,limited research has explored how environmentally responsible leadership(ERL)influences corporate environmental performance(CEP)through employee-driven sustainability behaviors.This study addresses this gap by examining the mediating roles of green knowledge-sharing behavior(GKSB),green innovative behavior(GIB),and voluntary green behavior(VGB),as well as the moderating role of green shared vision(GSV)in the ERL-CEP relationship.The study is grounded in Resource-Based View(RBV),Knowledge-Based View(KBV),Environmental-Based View(EBV),and Triple Bottom Line(TBL)theories,which collectively explain how leadership-driven sustainability efforts create long-term competitive advantages,drive environmental responsibility,and balance economic,social,and environmental sustainability.A quantitative research design was employed,using survey data from 384 employees in Bangladesh’s pharmaceutical sector.Data were analyzed using Partial Least Squares Structural Equation Modeling(PLS-SEM)in Smart-PLS 4.0 to assess direct,indirect,and moderating effects.The results confirm that ERL has a significant positive impact on CEP,with GKSB,GIB,and VGB acting as mediators,while GSV strengthens the ERL-CEP relationship.This study provides novel empirical evidence on the mechanisms linking green leadership to corporate sustainability,extending the application of RBV,KBV,EBV,and TBL to leadership-driven environmental management.The findings emphasize the importance of leadership training programs,sustainability-focused organizational cultures,and shared environmental visions.Policymakers should consider incentives for companies adopting ERL practices,ensuring that sustainability becomes a strategic,rather than compliance-driven,priority.This study contributes to leadership and sustainability literature by offering a comprehensive framework for integrating ERL into corporate governance and environmental strategies.
文摘At the 2024 Beijing Forum on China-Africa Cooperation(FOCAC)held in September last year,Chinese President Xi Jinping proposed that the overall characterisation of China-Africa relations be elevated to an all-weather China-Africa community with a shared future for the new era.“This declaration affirms,whether faced with pandemic or geopolitical shifts,Africa and China will still remain each other’s most trustworthy true partners,”said Inkosi Mzamo Buthelezi,South Africa’s minister of public service and administration.
文摘On February 5, the Dialogue on Building a China-Laos Community with a Shared Future, themed “Focusing on the ‘Action Plan,’ Creating a Better Future Together,” took place in Vientiane, Laos.The opening ceremony featured speeches by several distinguished vips including Fang Hong, Chinese ambassador to Laos, Daosavanh Kheugmixai, vice president of the Lao National Academy of Politics and Public Administration, Yu Yunquan, vice president of the China International Communications Group (CICG),Sakhon Phommalat, deputy head of the Propaganda and Training Board of the Lao People’s Revolutionary Party (LPRP) Central Committee, Sun Jisheng, vice president of China Foreign Affairs University (CFAU),and Vadthuninyom Duangmala,president of the Diplomatic Academy of Laos.
文摘Amid the increasing demand for data sharing,the need for flexible,secure,and auditable access control mechanisms has garnered significant attention in the academic community.However,blockchain-based ciphertextpolicy attribute-based encryption(CP-ABE)schemes still face cumbersome ciphertext re-encryption and insufficient oversight when handling dynamic attribute changes and cross-chain collaboration.To address these issues,we propose a dynamic permission attribute-encryption scheme for multi-chain collaboration.This scheme incorporates a multiauthority architecture for distributed attribute management and integrates an attribute revocation and granting mechanism that eliminates the need for ciphertext re-encryption,effectively reducing both computational and communication overhead.It leverages the InterPlanetary File System(IPFS)for off-chain data storage and constructs a cross-chain regulatory framework—comprising a Hyperledger Fabric business chain and a FISCO BCOS regulatory chain—to record changes in decryption privileges and access behaviors in an auditable manner.Security analysis shows selective indistinguishability under chosen-plaintext attack(sIND-CPA)security under the decisional q-Parallel Bilinear Diffie-Hellman Exponent Assumption(q-PBDHE).In the performance and experimental evaluations,we compared the proposed scheme with several advanced schemes.The results show that,while preserving security,the proposed scheme achieves higher encryption/decryption efficiency and lower storage overhead for ciphertexts and keys.
文摘On the occasion of the 65th anniversary of the establishment of diplomatic relations between China and Laos,I wish to express,on behalf of the Embassy of the People's Republic of China in the Lao People's Democratic Republic,our sincere gratitude and highest respect to all friends and personages from various sectors in both countries who have long cared about and supported the development of our bilateral relations.
文摘Fifty-five-year-old Shi Yizhong never imagined fireflies could become the foundation of a serious business.In 2022,Longshan Village in Huzhou’s Wuxing District collaborated with a young entrepreneurial team to create a firefly campsite-a natural attraction where visitors can observe these glowing insects in a preserved habitat.The site quickly drew waves of tourists,who shared their experience online,recouping its initial investment in just two years.
基金supported by the National Natural Science Foundation of China(NSFC)(Grant No.72372048)the“Young Top-Notch Talent”Cultivation Program of Hubei Province.
文摘Can the sharing economy contribute to urban sustainability?This study explores this question using the staggered entry of bike-sharing platforms across Chinese cities as a quasi-natural experiment.Drawing on 2015-2017 city characteristics panel data and monthly CO_(2) emission records,we employ a staggered difference-in-differences(DID)model to assess the impact of bike-sharing on per capita urban CO_(2) emissions.The results show that bike-sharing platforms significantly cut emissions by replacing high-carbon transport and boosting public adoption of shared bikes.This effect is more potent in cities with less stringent environmental enforcement,more advanced digital economies,greater technological innovation,and where two platforms jointly entered.By elucidating the mechanisms underlying bike-sharing’s carbon-reduction potential,this study highlights its role in urban sustainability.It offers policy insights for leveraging shared mobility to reduce city carbon emissions.
文摘The year 2026 marks the 65th anniversary of the establishment of diplomatic relations between China and Laos.The bilateral relations are now at a new starting point where the past has been inherited and a course for the future has been set.Looking back,China and Laos have weathered storms together and stood by each other.
文摘Learning from the wisdom and insights of others remains one of the most effective paths to progress.This is the driving force behind our commitment to experience sharing.The March/April issue features three renowned international standardization experts who share their journeys,the strategic"hows and whys"of global participation,and the critical role of stakeholder engagement in shaping the future of the industry.
文摘As China and Laos mark the 65th anniversary of their diplomatic relations,the two socialist neighbors stand at a new historical starting point.From revolutionary comrades-in-arms to comprehensive strategic partners,China and Laos have steadily deepened their bond as"good neighbors,good friends,good comrades,and good partners."
文摘As a Burundian doctoral student at Nanjing University,my personal journey is closely intertwined with China’s development in the new era and the deepening China-Africa partnership.Recently,my experiences have given me a deeper appreciation of the importance of people-to-people exchanges between China and Africa.
文摘The year 2026 marks the 65th anniversary of diplomatic ties between China and Laos.During their meeting in Beijing in September 2025,Chinese President Xi Jinping and Lao President Thongloun Sisoulith stressed a need to advance the construction of the China Laos Economic Corridor and deliver more substantive results across all areas of cooperation.
文摘Shared energy storage helps lower user investment costs and enhances energy efficiency,which is considered a pivotal driver in accelerating the green transition of energy sectors.In view of the increasing demand for hydrogen,this paper proposes a bi-level optimization of configurations and scheduling for combined cooling,heating,and power(CCHP)microgrid systems considering shared hybrid electric-hydrogen energy storage service.The upper-level model addresses the capacity allocation problem of energy storage stations,while the lower-level model optimizes the operational strategies for the multi-microgrid system(MMS).To resolve the complexity of the coupled bi-level problem,Karush-Kuhn-Tucker(KKT)conditions and the Big-M method are applied to reformulate it into a solvable mixed-integer linear programming(MILP)model,compatible with CPLEX.The economic viability and rationality of the proposed approach are verified through comparisons of three cases.Numerical results show that the proposed approach reduces user annual costs by 20.15%compared to MMS without additional energy storage equipment and achieves 100%renewable absorption.For operators,it yields 5.71 M CNY annual profit with 3.02-year payback.Compared to MMS with electricity sharing,it further cuts user costs by 3.84%,boosts operator profit by 60.71%,and shortens payback by 15.88%.
基金National Natural Science Foundation of China(Nos.61772130,71171045 and 61901104)Innovation Program of Shanghai Municipal Education Commission,China(No.14YZ130)。
文摘Vehicular communication systems rely on secure vehicle-to-vehicle(V2V)communications for safety-critical information exchange.However,the presence of eavesdropping vehicles poses a significant challenge.This paper investigates the security of V2V communications in reconfigurable intelligent surface(RIS)-assisted vehicular communication systems with spectrum sharing.It proposes a three-stage alternating optimization(TSAO)algorithm to address the complex problem of multiple eavesdropped V2V links that reuse the spectrum already occupied by vehicle-toinfrastructure(V2I)links.To solve the mixed-integer and non-convex optimization problem due to coupled variables and complex constraints,the algorithm decomposes the original problem into three easily solvable sub-problems:RIS reflection coefficient optimization,vehicle transmission power optimization,and spectrum sharing optimization.First,the RIS reflection coefficients are optimized by using the penalty convex-concave procedure(CCP)method.Second,the optimal power points are determined in the power optimization sub-problem.Finally,the spectrum sharing optimization sub-problem is constructed as a weighted bipartite graph matching problem and solved by using the optimal matching algorithm.The TSAO algorithm not only maximizes the sum V2V secrecy rate but also ensures the quality-of-service(QoS)requirements of the V2I links.Simulation results validate the superiority of the proposed algorithm and highlight the improvement in the sum V2V secrecy rate achieved by utilizing RIS technology in vehicular communication systems with spectrum sharing.
