This paper studies cooperative robust parallel operation of multiple actuators over an undirected communication graph.The plant is modeled as an uncertain linear system,and the actuators are linear and identical.Based...This paper studies cooperative robust parallel operation of multiple actuators over an undirected communication graph.The plant is modeled as an uncertain linear system,and the actuators are linear and identical.Based on the internal model principle,a distributed dynamic output feedback control law is proposed to achieve both robust output regulation of the closed-loop system and plant input sharing among the actuators.A practical example of five motors cooperatively driving an uncertain shaft under an external load torque is presented to show the effectiveness of the proposed control law.展开更多
British Prime Minister Keir Starmer’s visit to China underscores economic cooperation and strategic stability amid global uncertainties.U.K.Prime Minister Keir Starmer’s visit to China in January marks a significant...British Prime Minister Keir Starmer’s visit to China underscores economic cooperation and strategic stability amid global uncertainties.U.K.Prime Minister Keir Starmer’s visit to China in January marks a significant shift of Britain toward a more pragmatic and stability-oriented approach in Sino-British relations.After years of political tensions and limited high-level engagement,this trip underscores London’s intent to rebuild ties based on mutual economic and strategic interests.展开更多
The year 2025 marks both the 25th anniversary of the Forum on China-Africa Cooperation(FOCAC)and the first year of implementation of the outcomes of the 2024 FOCAC Beijing Summit.Throughout the year,China has supporte...The year 2025 marks both the 25th anniversary of the Forum on China-Africa Cooperation(FOCAC)and the first year of implementation of the outcomes of the 2024 FOCAC Beijing Summit.Throughout the year,China has supported Africa in addressing historical injustices at diplomatic and political levels and firmly backed South Africa in hosting the G20 Leaders’Summit,further deepening China-Africa strategic mutual trust.展开更多
Metal ion homeostasis plays a pivotal role in maintaining cellular functions,and its disruption can initiate regulated cell death pathways.Despite its therapeutic potential,metal ion therapy for breast cancer has been...Metal ion homeostasis plays a pivotal role in maintaining cellular functions,and its disruption can initiate regulated cell death pathways.Despite its therapeutic potential,metal ion therapy for breast cancer has been hampered by inefficient ion delivery and the intrinsic resistance mechanisms of cancer cells.In this work,a cuproptosis amplifier of copper-telaglenastat coordinate(denoted as Cu-CB) is developed to trigger cell ferroptosis for synergistic breast cancer treatment.Telaglenastat(CB-839),a glutaminase inhibitor,is identified as an effective copper ionophore that facilitates the formation of Cu-CB.Specially,Cu-CB can promote the aggregation of lipoylated proteins to initiate cuproptosis,while also inhibiting glutathione(GSH) synthesis and downregulating glutathione peroxidase 4(GPX4) to trigger ferroptosis.The interplay between these cuproptosis and apoptosis pathways,mediated by Cu-CB,significantly amplifies reactive oxygen species(ROS) production and lipid peroxidation,culminating in the synergistic suppression of breast cancer.Both in vitro and in vivo studies validate the superior antitumor effects of Cu-CB through the induction of cuproptosis and ferroptosis,which may provide a new insight for metal ion delivery systems and metal ion-based tumor therapies.展开更多
Cooperative pursuit poses challenges across natural,social,and technical systems,particularly when decentralized,slow-speed pursuers attempt to capture a high-speed evader with limited observation.Most existing contri...Cooperative pursuit poses challenges across natural,social,and technical systems,particularly when decentralized,slow-speed pursuers attempt to capture a high-speed evader with limited observation.Most existing contributions place the focus on the greedy pursuit of the evader,overlooking potential collaborations among pursuers.To tackle this issue,a decisionmaking framework of multi-agent coordinated reciprocity formation pursuit(MACRFP)via deep reinforcement learning is introduced.This framework integrates the actor-critic algorithm with the coordinated reciprocity mechanism to enhance the capability of capturing a faster evader.Initially,a local perception model is created by utilizing a cellular network to simulate limitations caused by obstacles.Next,the formation coalition of pursuit is guided by the Cartesian Oval,enabling dispersed pursuers to create a siege against the faster evader.Furthermore,a coordinated reciprocity model based on the coordination graph and the attention-based graph neural networks is developed,addressing the global coordination problem by estimating a reciprocity coefficient to adjust agents'rewards.Numerical simulations demonstrate the emergence of cooperative behaviors in cooperative besiegement,target tracking,and intelligent interception during the pursuit,indicating that the proposed algorithm enhances the feasibility and effectiveness of capturing a fast-escaping target by integrating coordinated reciprocity and coalition formation.展开更多
The recent signing of a partnership agreement between China and Cameroon aims to promote excellence in higher education A colourful ceremony marking yet another milestone in burgeoning China-Cameroon cooperation was h...The recent signing of a partnership agreement between China and Cameroon aims to promote excellence in higher education A colourful ceremony marking yet another milestone in burgeoning China-Cameroon cooperation was held on 13 January in Yaoundé.展开更多
Experts and officials shared their insights on poverty reduction cooperation and sustainable development during the 2025 International Seminar on Global Poverty Reduction Partnerships.
CHINA Auto Output,Sales Hit New Highs China’s automobile production and sales both exceeded 34 million units in 2025,setting a new record,o!ering new cooperation opportunities and helping to establish a global win-wi...CHINA Auto Output,Sales Hit New Highs China’s automobile production and sales both exceeded 34 million units in 2025,setting a new record,o!ering new cooperation opportunities and helping to establish a global win-win ecosystem in this sector.Total auto output reached 34.531 million units in 2025,up 10.4 percent compared with the 2024 level,while sales rose 9.4 percent year on year to 34.4 million units,according to the China Association of Automobile Manufacturers(CAAM).展开更多
The final and award ceremony of the International Standardization Youth Star Competition 2025 were held in Qingdao on November 22-23.The competition attracted 236 teams nationwide who demonstrated great enthusiasm for...The final and award ceremony of the International Standardization Youth Star Competition 2025 were held in Qingdao on November 22-23.The competition attracted 236 teams nationwide who demonstrated great enthusiasm for participating in the standardization undertaking.The competition followed the mode of“the industry puts forward questions,and the academia provides solutions”.Shandong Port Group Co.,Ltd.,Contemporary Amperex Technology Co.,Ltd.(CATL),Huawei Technologies Co.,Ltd.,and Beijing Zhongbiaolvjian Engineering Design and Research Institute Co.,Ltd.set up themed tracks respectively,and competitors developed standard proposals for the corresponding themes.展开更多
As a major source of freshwater in Central Asia,Tajikistan is endowed with abundant glaciers and water resources.However,the country faces multiple challenges,including accelerated glacier retreat,complex inter-govern...As a major source of freshwater in Central Asia,Tajikistan is endowed with abundant glaciers and water resources.However,the country faces multiple challenges,including accelerated glacier retreat,complex inter-government water resource management,and inefficient water use.Existing research has predominantly focused on individual hydrological processes,such as glacier retreat,snow cover change,or transboundary water issues,but it has yet to fully capture the overall complexity of water system.Tajikistan’s water system functions as an integrated whole from mountain runoff to downstream supply,but a comprehensive study of its water resource has yet to be conducted.To address this research gap,this study systematically examined the status,challenges,and sustainable management strategies of Tajikistan’s water resources based on a literature review,remote sensing data analysis,and case studies.Despite Tajikistan’s relative abundance of water resources,global warming is accelerating glacier melting and altering the hydrological cycles,which have resulted in unstable runoff patterns and heightened risks of extreme events.In Tajikistan,outdated infrastructure and poor management are primary causes of low water-use efficiency in the agricultural sector,which accounts for 85.00%of the total water withdrawals.At the governance level,Tajikistan faces challenges in balancing the water-energy-food nexus and transboundary water resource issues.To address these issues,this study proposes core paths for Tajikistan to achieve sustainable water resource management,such as accelerating technological innovation,promoting water-saving agricultural technologies,improving water resource utilization efficiency,and establishing a community participation-based comprehensive management framework.Additionally,strengthening cross-border cooperation and improving real-time monitoring systems have been identified as critical steps to advance sustainable water resource utilization and evidence-based decision-making in Tajikistan and across Central Asia.展开更多
Educational cooperation,as the cornerstone and vanguard of people-to-people exchanges and practical cooperation between China and Africa,holds irreplaceable strategic significance for enhancing the quality of Africa&#...Educational cooperation,as the cornerstone and vanguard of people-to-people exchanges and practical cooperation between China and Africa,holds irreplaceable strategic significance for enhancing the quality of Africa's human capital and accelerating its structural transformation and modernization process.This paper employs“demand–supply–adaptation”as its core analytical framework and aims to systematically explore how the educational cooperation between China and Africa can serve Africa's goal of modernization more precisely and effectively.First,through reviewing and analyzing the domestic and international research literature,this paper clarifies the focus,paradigms,and shortcomings of existing research,identifying the knowledge contribution of this study.Second,utilizing detailed macro-level data,case studies,and comparative research methods,it comprehensively presents the multidimensional status,structural characteristics,and development trends of China–Africa educational cooperation in areas such as student exchanges,cooperative education,vocational and technical training,language and cultural exchange,and emerging digital education.This paper also deeply analyzes the pressing and specific demands placed on the education system by Africa's modernization development across key dimensions like economic diversification,industrialization,agricultural modernization,social governance upgrading,and digital transformation.Third,based on the cooperative principle of“Africa's needs and China's strengths,”this paper innovatively proposes systematic countermeasures and suggestions for constructing new,multi-level,high-quality,sustainable,and future-oriented pathways for China–Africa educational cooperation:(a)promoting the strategic focus of cooperation to extend from“hard infrastructure”support to empowering“soft infrastructure”;(b)deepening the integration of industry and education and school–enterprise collaboration to precisely align with Africa's industrial development needs;vigorously developing digital education and jointly building a smart education ecosystem to help Africa bridge the digital divide;(c)improving an evidence-based,third-party evaluation system for cooperative effectiveness and a full-process quality assurance system;and(d)promoting the collaborative participation of multiple actors including governments,schools,enterprises,think tanks,and social organizations to build a new cooperative pattern of coconstruction,co-governance,and shared benefits.展开更多
The advent of sixth-generation(6G)networks introduces unprecedented challenges in achieving seamless connectivity,ultra-low latency,and efficient resource management in highly dynamic environments.Although fifth-gener...The advent of sixth-generation(6G)networks introduces unprecedented challenges in achieving seamless connectivity,ultra-low latency,and efficient resource management in highly dynamic environments.Although fifth-generation(5G)networks transformed mobile broadband and machine-type communications at massive scales,their properties of scaling,interference management,and latency remain a limitation in dense high mobility settings.To overcome these limitations,artificial intelligence(AI)and unmanned aerial vehicles(UAVs)have emerged as potential solutions to develop versatile,dynamic,and energy-efficient communication systems.The study proposes an AI-based UAV architecture that utilizes cooperative reinforcement learning(CoRL)to manage an autonomous network.The UAVs collaborate by sharing local observations and real-time state exchanges to optimize user connectivity,movement directions,allocate power,and resource distribution.Unlike conventional centralized or autonomous methods,CoRL involves joint state sharing and conflict-sensitive reward shaping,which ensures fair coverage,less interference,and enhanced adaptability in a dynamic urban environment.Simulations conducted in smart city scenarios with 10 UAVs and 50 ground users demonstrate that the proposed CoRL-based UAV system increases user coverage by up to 10%,achieves convergence 40%faster,and reduces latency and energy consumption by 30%compared with centralized and decentralized baselines.Furthermore,the distributed nature of the algorithm ensures scalability and flexibility,making it well-suited for future large-scale 6G deployments.The results highlighted that AI-enabled UAV systems enhance connectivity,support ultra-reliable low-latency communications(URLLC),and improve 6G network efficiency.Future work will extend the framework with adaptive modulation,beamforming-aware positioning,and real-world testbed deployment.展开更多
In the lush heart of Uganda’s Busoga sub-region,Isaac Imaka is charting a new course for rural development.After seven years in national media,he left the newsroom and stepped into the soil.The former reporter with t...In the lush heart of Uganda’s Busoga sub-region,Isaac Imaka is charting a new course for rural development.After seven years in national media,he left the newsroom and stepped into the soil.The former reporter with the Daily Monitor was driven by the belief that communities like his in Jinja North deserved more than chronic poverty and hand-to-mouth survival.展开更多
Owing to their global search capabilities and gradient-free operation,metaheuristic algorithms are widely applied to a wide range of optimization problems.However,their computational demands become prohibitive when ta...Owing to their global search capabilities and gradient-free operation,metaheuristic algorithms are widely applied to a wide range of optimization problems.However,their computational demands become prohibitive when tackling high-dimensional optimization challenges.To effectively address these challenges,this study introduces cooperative metaheuristics integrating dynamic dimension reduction(DR).Building upon particle swarm optimization(PSO)and differential evolution(DE),the proposed cooperative methods C-PSO and C-DE are developed.In the proposed methods,the modified principal components analysis(PCA)is utilized to reduce the dimension of design variables,thereby decreasing computational costs.The dynamic DR strategy implements periodic execution of modified PCA after a fixed number of iterations,resulting in the important dimensions being dynamically identified.Compared with the static one,the dynamic DR strategy can achieve precise identification of important dimensions,thereby enabling accelerated convergence toward optimal solutions.Furthermore,the influence of cumulative contribution rate thresholds on optimization problems with different dimensions is investigated.Metaheuristic algorithms(PSO,DE)and cooperative metaheuristics(C-PSO,C-DE)are examined by 15 benchmark functions and two engineering design problems(speed reducer and composite pressure vessel).Comparative results demonstrate that the cooperative methods achieve significantly superior performance compared to standard methods in both solution accuracy and computational efficiency.Compared to standard metaheuristic algorithms,cooperative metaheuristics achieve a reduction in computational cost of at least 40%.The cooperative metaheuristics can be effectively used to tackle both high-dimensional unconstrained and constrained optimization problems.展开更多
On January 23,2026,the second plenary session of the China Expo Forum for International Cooperation(CEFCO) convened in Wuhan,Hubei Province.Amid significant changes in the global exhibition landscape,participants shar...On January 23,2026,the second plenary session of the China Expo Forum for International Cooperation(CEFCO) convened in Wuhan,Hubei Province.Amid significant changes in the global exhibition landscape,participants shared recent developments,key data,and future trends in major markets,offering guidance for industry practitioners to drive progress.展开更多
Embodied intelligent systems integrate perception,control,and decision-making within physical agents,and have become a cornerstone of modern aerospace,autonomous driving,and cooperative robotic applications.When opera...Embodied intelligent systems integrate perception,control,and decision-making within physical agents,and have become a cornerstone of modern aerospace,autonomous driving,and cooperative robotic applications.When operating in uncertain and dynamic environments,such systems must address challenges arising from incomplete sensing,unpredictable maneuvers,communication constraints,disturbances,and evolving network structures.展开更多
As we enter the year 2026,the international system continues to receive shocks from Donald Trump,arguably the 21st century’s most disruptive US leader.His return to the White House in 2025 coincided with the 80th ann...As we enter the year 2026,the international system continues to receive shocks from Donald Trump,arguably the 21st century’s most disruptive US leader.His return to the White House in 2025 coincided with the 80th anniversary of the defeat of fascism and the establishment of the United Nations,the multilateral platform that carried the world’s hope for peace,restraint and collective security.The coincidence was unsettling.A world order designed to limit power now confronts a moment in which power is exercised openly,transactionally and unapologetically.展开更多
CCPIT Annual Conference Sets“1+5+10”Agenda for 2026 CCPIT An nual Conference Set s“1+5+10”Agenda for 2026 The National Conference of CCPIT Working Conference&the Sixth Session of the Sixth National Committee o...CCPIT Annual Conference Sets“1+5+10”Agenda for 2026 CCPIT An nual Conference Set s“1+5+10”Agenda for 2026 The National Conference of CCPIT Working Conference&the Sixth Session of the Sixth National Committee of CCPIT was held in Beijing from January 27 to 28.The meeting outlined key priorities for the first year of China’s 15th Five-Year Plan period,focusing on enhancing synergy across the trade promotion system.CCPIT unveiled a“1+5+10”working framework,emphasizing ten core tasks including deepening industrial promotion,expanding new horizons in two-way investment cooperation,and improving foreign-related legal services.展开更多
At the World Economic Forum Annual Meeting 2026 in Davos,China emerged as a steadfast advocate for multilateral cooperation and constructive dialogue,presenting a clear alternative to divisive rhetoric.CHINA’S role a...At the World Economic Forum Annual Meeting 2026 in Davos,China emerged as a steadfast advocate for multilateral cooperation and constructive dialogue,presenting a clear alternative to divisive rhetoric.CHINA’S role as a key player in shaping global development and trends stood out at the World Economic Forum(WEF)annual meeting 2026 in Davos,Switzerland.展开更多
基金Supported by the Shenzhen Key Laboratory of Control Theory and Intelligent Systems (ZDSYS20220330161800001)the National Natural Science Foundation of China (62303207)the Guangdong Basic and Applied Basic Research Foundation (2024A1515010725)。
文摘This paper studies cooperative robust parallel operation of multiple actuators over an undirected communication graph.The plant is modeled as an uncertain linear system,and the actuators are linear and identical.Based on the internal model principle,a distributed dynamic output feedback control law is proposed to achieve both robust output regulation of the closed-loop system and plant input sharing among the actuators.A practical example of five motors cooperatively driving an uncertain shaft under an external load torque is presented to show the effectiveness of the proposed control law.
文摘British Prime Minister Keir Starmer’s visit to China underscores economic cooperation and strategic stability amid global uncertainties.U.K.Prime Minister Keir Starmer’s visit to China in January marks a significant shift of Britain toward a more pragmatic and stability-oriented approach in Sino-British relations.After years of political tensions and limited high-level engagement,this trip underscores London’s intent to rebuild ties based on mutual economic and strategic interests.
文摘The year 2025 marks both the 25th anniversary of the Forum on China-Africa Cooperation(FOCAC)and the first year of implementation of the outcomes of the 2024 FOCAC Beijing Summit.Throughout the year,China has supported Africa in addressing historical injustices at diplomatic and political levels and firmly backed South Africa in hosting the G20 Leaders’Summit,further deepening China-Africa strategic mutual trust.
基金supported by the National Natural Science Foundation of China (Nos.82302355,32371394)Guangdong Basic and Applied Basic Research Foundation (No.2023A1515012628)+1 种基金the Characteristic Innovation Projects of General Colleges and Universities in Guangdong Province (No.2024KTSCX120)the Science and Technology Program of Guangzhou (Nos.2024A04J3324,2024A03J0078)。
文摘Metal ion homeostasis plays a pivotal role in maintaining cellular functions,and its disruption can initiate regulated cell death pathways.Despite its therapeutic potential,metal ion therapy for breast cancer has been hampered by inefficient ion delivery and the intrinsic resistance mechanisms of cancer cells.In this work,a cuproptosis amplifier of copper-telaglenastat coordinate(denoted as Cu-CB) is developed to trigger cell ferroptosis for synergistic breast cancer treatment.Telaglenastat(CB-839),a glutaminase inhibitor,is identified as an effective copper ionophore that facilitates the formation of Cu-CB.Specially,Cu-CB can promote the aggregation of lipoylated proteins to initiate cuproptosis,while also inhibiting glutathione(GSH) synthesis and downregulating glutathione peroxidase 4(GPX4) to trigger ferroptosis.The interplay between these cuproptosis and apoptosis pathways,mediated by Cu-CB,significantly amplifies reactive oxygen species(ROS) production and lipid peroxidation,culminating in the synergistic suppression of breast cancer.Both in vitro and in vivo studies validate the superior antitumor effects of Cu-CB through the induction of cuproptosis and ferroptosis,which may provide a new insight for metal ion delivery systems and metal ion-based tumor therapies.
基金supported by the National Natural Science Foundation of China(72371052,71871042)。
文摘Cooperative pursuit poses challenges across natural,social,and technical systems,particularly when decentralized,slow-speed pursuers attempt to capture a high-speed evader with limited observation.Most existing contributions place the focus on the greedy pursuit of the evader,overlooking potential collaborations among pursuers.To tackle this issue,a decisionmaking framework of multi-agent coordinated reciprocity formation pursuit(MACRFP)via deep reinforcement learning is introduced.This framework integrates the actor-critic algorithm with the coordinated reciprocity mechanism to enhance the capability of capturing a faster evader.Initially,a local perception model is created by utilizing a cellular network to simulate limitations caused by obstacles.Next,the formation coalition of pursuit is guided by the Cartesian Oval,enabling dispersed pursuers to create a siege against the faster evader.Furthermore,a coordinated reciprocity model based on the coordination graph and the attention-based graph neural networks is developed,addressing the global coordination problem by estimating a reciprocity coefficient to adjust agents'rewards.Numerical simulations demonstrate the emergence of cooperative behaviors in cooperative besiegement,target tracking,and intelligent interception during the pursuit,indicating that the proposed algorithm enhances the feasibility and effectiveness of capturing a fast-escaping target by integrating coordinated reciprocity and coalition formation.
文摘The recent signing of a partnership agreement between China and Cameroon aims to promote excellence in higher education A colourful ceremony marking yet another milestone in burgeoning China-Cameroon cooperation was held on 13 January in Yaoundé.
文摘Experts and officials shared their insights on poverty reduction cooperation and sustainable development during the 2025 International Seminar on Global Poverty Reduction Partnerships.
文摘CHINA Auto Output,Sales Hit New Highs China’s automobile production and sales both exceeded 34 million units in 2025,setting a new record,o!ering new cooperation opportunities and helping to establish a global win-win ecosystem in this sector.Total auto output reached 34.531 million units in 2025,up 10.4 percent compared with the 2024 level,while sales rose 9.4 percent year on year to 34.4 million units,according to the China Association of Automobile Manufacturers(CAAM).
文摘The final and award ceremony of the International Standardization Youth Star Competition 2025 were held in Qingdao on November 22-23.The competition attracted 236 teams nationwide who demonstrated great enthusiasm for participating in the standardization undertaking.The competition followed the mode of“the industry puts forward questions,and the academia provides solutions”.Shandong Port Group Co.,Ltd.,Contemporary Amperex Technology Co.,Ltd.(CATL),Huawei Technologies Co.,Ltd.,and Beijing Zhongbiaolvjian Engineering Design and Research Institute Co.,Ltd.set up themed tracks respectively,and competitors developed standard proposals for the corresponding themes.
基金supported by the National Natural Science Foundation of China(W2412135)the Youth Innovation Promotion Association of the Chinese Academy of Sciences.
文摘As a major source of freshwater in Central Asia,Tajikistan is endowed with abundant glaciers and water resources.However,the country faces multiple challenges,including accelerated glacier retreat,complex inter-government water resource management,and inefficient water use.Existing research has predominantly focused on individual hydrological processes,such as glacier retreat,snow cover change,or transboundary water issues,but it has yet to fully capture the overall complexity of water system.Tajikistan’s water system functions as an integrated whole from mountain runoff to downstream supply,but a comprehensive study of its water resource has yet to be conducted.To address this research gap,this study systematically examined the status,challenges,and sustainable management strategies of Tajikistan’s water resources based on a literature review,remote sensing data analysis,and case studies.Despite Tajikistan’s relative abundance of water resources,global warming is accelerating glacier melting and altering the hydrological cycles,which have resulted in unstable runoff patterns and heightened risks of extreme events.In Tajikistan,outdated infrastructure and poor management are primary causes of low water-use efficiency in the agricultural sector,which accounts for 85.00%of the total water withdrawals.At the governance level,Tajikistan faces challenges in balancing the water-energy-food nexus and transboundary water resource issues.To address these issues,this study proposes core paths for Tajikistan to achieve sustainable water resource management,such as accelerating technological innovation,promoting water-saving agricultural technologies,improving water resource utilization efficiency,and establishing a community participation-based comprehensive management framework.Additionally,strengthening cross-border cooperation and improving real-time monitoring systems have been identified as critical steps to advance sustainable water resource utilization and evidence-based decision-making in Tajikistan and across Central Asia.
文摘Educational cooperation,as the cornerstone and vanguard of people-to-people exchanges and practical cooperation between China and Africa,holds irreplaceable strategic significance for enhancing the quality of Africa's human capital and accelerating its structural transformation and modernization process.This paper employs“demand–supply–adaptation”as its core analytical framework and aims to systematically explore how the educational cooperation between China and Africa can serve Africa's goal of modernization more precisely and effectively.First,through reviewing and analyzing the domestic and international research literature,this paper clarifies the focus,paradigms,and shortcomings of existing research,identifying the knowledge contribution of this study.Second,utilizing detailed macro-level data,case studies,and comparative research methods,it comprehensively presents the multidimensional status,structural characteristics,and development trends of China–Africa educational cooperation in areas such as student exchanges,cooperative education,vocational and technical training,language and cultural exchange,and emerging digital education.This paper also deeply analyzes the pressing and specific demands placed on the education system by Africa's modernization development across key dimensions like economic diversification,industrialization,agricultural modernization,social governance upgrading,and digital transformation.Third,based on the cooperative principle of“Africa's needs and China's strengths,”this paper innovatively proposes systematic countermeasures and suggestions for constructing new,multi-level,high-quality,sustainable,and future-oriented pathways for China–Africa educational cooperation:(a)promoting the strategic focus of cooperation to extend from“hard infrastructure”support to empowering“soft infrastructure”;(b)deepening the integration of industry and education and school–enterprise collaboration to precisely align with Africa's industrial development needs;vigorously developing digital education and jointly building a smart education ecosystem to help Africa bridge the digital divide;(c)improving an evidence-based,third-party evaluation system for cooperative effectiveness and a full-process quality assurance system;and(d)promoting the collaborative participation of multiple actors including governments,schools,enterprises,think tanks,and social organizations to build a new cooperative pattern of coconstruction,co-governance,and shared benefits.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(RS-2025-00559546)supported by the IITP(Institute of Information&Coummunications Technology Planning&Evaluation)-ITRC(Information Technology Research Center)grant funded by the Korea government(Ministry of Science and ICT)(IITP-2025-RS-2023-00259004).
文摘The advent of sixth-generation(6G)networks introduces unprecedented challenges in achieving seamless connectivity,ultra-low latency,and efficient resource management in highly dynamic environments.Although fifth-generation(5G)networks transformed mobile broadband and machine-type communications at massive scales,their properties of scaling,interference management,and latency remain a limitation in dense high mobility settings.To overcome these limitations,artificial intelligence(AI)and unmanned aerial vehicles(UAVs)have emerged as potential solutions to develop versatile,dynamic,and energy-efficient communication systems.The study proposes an AI-based UAV architecture that utilizes cooperative reinforcement learning(CoRL)to manage an autonomous network.The UAVs collaborate by sharing local observations and real-time state exchanges to optimize user connectivity,movement directions,allocate power,and resource distribution.Unlike conventional centralized or autonomous methods,CoRL involves joint state sharing and conflict-sensitive reward shaping,which ensures fair coverage,less interference,and enhanced adaptability in a dynamic urban environment.Simulations conducted in smart city scenarios with 10 UAVs and 50 ground users demonstrate that the proposed CoRL-based UAV system increases user coverage by up to 10%,achieves convergence 40%faster,and reduces latency and energy consumption by 30%compared with centralized and decentralized baselines.Furthermore,the distributed nature of the algorithm ensures scalability and flexibility,making it well-suited for future large-scale 6G deployments.The results highlighted that AI-enabled UAV systems enhance connectivity,support ultra-reliable low-latency communications(URLLC),and improve 6G network efficiency.Future work will extend the framework with adaptive modulation,beamforming-aware positioning,and real-world testbed deployment.
文摘In the lush heart of Uganda’s Busoga sub-region,Isaac Imaka is charting a new course for rural development.After seven years in national media,he left the newsroom and stepped into the soil.The former reporter with the Daily Monitor was driven by the belief that communities like his in Jinja North deserved more than chronic poverty and hand-to-mouth survival.
基金funded by National Natural Science Foundation of China(Nos.12402142,11832013 and 11572134)Natural Science Foundation of Hubei Province(No.2024AFB235)+1 种基金Hubei Provincial Department of Education Science and Technology Research Project(No.Q20221714)the Opening Foundation of Hubei Key Laboratory of Digital Textile Equipment(Nos.DTL2023019 and DTL2022012).
文摘Owing to their global search capabilities and gradient-free operation,metaheuristic algorithms are widely applied to a wide range of optimization problems.However,their computational demands become prohibitive when tackling high-dimensional optimization challenges.To effectively address these challenges,this study introduces cooperative metaheuristics integrating dynamic dimension reduction(DR).Building upon particle swarm optimization(PSO)and differential evolution(DE),the proposed cooperative methods C-PSO and C-DE are developed.In the proposed methods,the modified principal components analysis(PCA)is utilized to reduce the dimension of design variables,thereby decreasing computational costs.The dynamic DR strategy implements periodic execution of modified PCA after a fixed number of iterations,resulting in the important dimensions being dynamically identified.Compared with the static one,the dynamic DR strategy can achieve precise identification of important dimensions,thereby enabling accelerated convergence toward optimal solutions.Furthermore,the influence of cumulative contribution rate thresholds on optimization problems with different dimensions is investigated.Metaheuristic algorithms(PSO,DE)and cooperative metaheuristics(C-PSO,C-DE)are examined by 15 benchmark functions and two engineering design problems(speed reducer and composite pressure vessel).Comparative results demonstrate that the cooperative methods achieve significantly superior performance compared to standard methods in both solution accuracy and computational efficiency.Compared to standard metaheuristic algorithms,cooperative metaheuristics achieve a reduction in computational cost of at least 40%.The cooperative metaheuristics can be effectively used to tackle both high-dimensional unconstrained and constrained optimization problems.
文摘On January 23,2026,the second plenary session of the China Expo Forum for International Cooperation(CEFCO) convened in Wuhan,Hubei Province.Amid significant changes in the global exhibition landscape,participants shared recent developments,key data,and future trends in major markets,offering guidance for industry practitioners to drive progress.
文摘Embodied intelligent systems integrate perception,control,and decision-making within physical agents,and have become a cornerstone of modern aerospace,autonomous driving,and cooperative robotic applications.When operating in uncertain and dynamic environments,such systems must address challenges arising from incomplete sensing,unpredictable maneuvers,communication constraints,disturbances,and evolving network structures.
文摘As we enter the year 2026,the international system continues to receive shocks from Donald Trump,arguably the 21st century’s most disruptive US leader.His return to the White House in 2025 coincided with the 80th anniversary of the defeat of fascism and the establishment of the United Nations,the multilateral platform that carried the world’s hope for peace,restraint and collective security.The coincidence was unsettling.A world order designed to limit power now confronts a moment in which power is exercised openly,transactionally and unapologetically.
文摘CCPIT Annual Conference Sets“1+5+10”Agenda for 2026 CCPIT An nual Conference Set s“1+5+10”Agenda for 2026 The National Conference of CCPIT Working Conference&the Sixth Session of the Sixth National Committee of CCPIT was held in Beijing from January 27 to 28.The meeting outlined key priorities for the first year of China’s 15th Five-Year Plan period,focusing on enhancing synergy across the trade promotion system.CCPIT unveiled a“1+5+10”working framework,emphasizing ten core tasks including deepening industrial promotion,expanding new horizons in two-way investment cooperation,and improving foreign-related legal services.
文摘At the World Economic Forum Annual Meeting 2026 in Davos,China emerged as a steadfast advocate for multilateral cooperation and constructive dialogue,presenting a clear alternative to divisive rhetoric.CHINA’S role as a key player in shaping global development and trends stood out at the World Economic Forum(WEF)annual meeting 2026 in Davos,Switzerland.
