The National Independent Innovation Demonstration Zone has been assigned the unique mission of demonstrating and leading national innovation and playing a key supportive role in enhancing green innovation.Based on the...The National Independent Innovation Demonstration Zone has been assigned the unique mission of demonstrating and leading national innovation and playing a key supportive role in enhancing green innovation.Based on the sample data of A-share listed companies in China from 2007 to 2021,we apply a multi-period difference-in-differences model to analyze whether the implementation of the National Independent Innovation Demonstration Zone policies plays a leverage effect or a crowd out effect on the green innovation efficiency of enterprises and systematically test the regulatory mechanism of government grants and media attention in the process of this influence.The empirical results show that the imple-mentation of the National Independent Innovation Demonstration Zone policies has a positive impact on the green innovation efficiency of enterprises and that the green innovation induced by this reform is not the leverage effect of additional R&D investment on the basis of the existing innovation activities of enterprises but rather the result of the reallocation of resources to crowd out existing non-green innovation.It is further found that government grants and media attention positively moderate the positive driving effect of National Independent Innovation Demonstration Zone policies on the green innovation efficiency of enterprises.展开更多
Against the backdrop of the knowledge economy, global economy is goingthrough a major transformation. How to alleviate the pressure of resources and the environ-ment and to achieve the sustainable development of the e...Against the backdrop of the knowledge economy, global economy is goingthrough a major transformation. How to alleviate the pressure of resources and the environ-ment and to achieve the sustainable development of the economy has become a global agenda.China＇ s economy growth has been rapid for decades since the reform and opening up policy,but this has also been a great drain on China＇ s resources and the environment, which is an ur-gent problem to tackle. In recently years, the Chinese government has launched many environ-mental policies in the hope of encouraging technological innovation to guarantee the sustain-able development of the economy. However, research suggested that technological innovationis negatively correlated with environmental policies in most scenarios. In some cases, the num-ber of technological innovation decreases after policies take effect and increases after a whilelike a U - curve. In order to solve this problem, I decided to analyze the panel data from 80provinces in China between 2008 and 2014 and conclude that local governance can implementenvironmental regulations while having a positive impact on the technological innovation inenterprises. In the conclusion, suggestions are given to local governments on how to better en-force environmental policies.展开更多
Evolutions and readjustment permeate China’s diplomatic policy in the six decades’ history of PRC, thanks to the tremendous changes happened to both the world and PRC. Enormous opportunities and challenges to China ...Evolutions and readjustment permeate China’s diplomatic policy in the six decades’ history of PRC, thanks to the tremendous changes happened to both the world and PRC. Enormous opportunities and challenges to China coincide in the present world. China and EU are rising with bigger role to play in the world, though daunting challenges to bilateral relations beckon.展开更多
The availability of a periodic inspection system under mixed maintenance policies is studied in this paper.To accommodate the characteristic of multiple failure modes for complex systems,the system failures can be div...The availability of a periodic inspection system under mixed maintenance policies is studied in this paper.To accommodate the characteristic of multiple failure modes for complex systems,the system failures can be divided into two failure modes:hard failure and soft failure.When hard failure occurs,the corresponding corrective maintenance will be performed,taking a random time under the perfect maintenance policy;in contrast,if the soft failure is found,the corresponding preventive maintenance will be performed,taking a random time under the imperfect maintenance policy.The dynamic age setback model is adopted for imperfect maintenance,which can accurately reflect the fault characteristics of the degraded system.Then an analytical model for system steady state availability and instantaneous availability are derived.Moreover,the optimal method to maximize the system steady-state availability through adjusting the inspection interval is researched.According to the above research,the optimization of system unit time cost,preventive maintenance intervals and availability is researched.Finally,the developed approach is demonstrated by a numerical example.展开更多
In general-sum games, taking all agent＇s collective rationality into account, we define agents＇ global objective, and propose a novel multi-agent reinforcement learning（RL） algorithm based on global policy. In eac...In general-sum games, taking all agent＇s collective rationality into account, we define agents＇ global objective, and propose a novel multi-agent reinforcement learning（RL） algorithm based on global policy. In each learning step, all agents commit to select the global policy to achieve the global goal. We prove this learning algorithm converges given certain restrictions on stage games of learned Q values, and show that it has quite lower computation time complexity than already developed multi-agent learning algorithms for general-sum games. An example is analyzed to show the algorithm＇ s merits.展开更多
The livelihoods of farmers are responding to the mioroeconomic policies and result in many changes in the landuse pattern and landscape, and the farmer＇s attitude to the natural resources conservation, specifically i...The livelihoods of farmers are responding to the mioroeconomic policies and result in many changes in the landuse pattern and landscape, and the farmer＇s attitude to the natural resources conservation, specifically in the land degradation. In order to find the relationship between the farmers＇ response to the microeeonomic policies and land degradation, the authors surveyed 120 household in three villages in the black soil zone in Heilongjiang Province. Based on the feedback of the questionnaires, the authors established a model to analyze the impact. The results demonstrated that land degradation was impacted by farmers behaviors in the process of the adjustment of agricultural structures in the city of Zhaodong. And the main factors acted on the land degradation were the agricultural labour education level, the transfer of the labour from agricultural production, the price of the agricultural production materials, and the land scale management. The authors put forward some suggestions for sustainable agriculture based on the analysis on the topic.展开更多
This paper analyzes the current situation of the development of home and community based elderly care service in China,points out the existing problems,and puts forward improvement measures,aiming to deepen the unders...This paper analyzes the current situation of the development of home and community based elderly care service in China,points out the existing problems,and puts forward improvement measures,aiming to deepen the understanding of HCBS and promote the theoretical research and practice of community home-based elderly care service.展开更多
Since the 19 th National Congress of the Communist Party of China,rural vitalization has attracted more and more attention in China.Compared with China,European countries have already experienced the by-product of rur...Since the 19 th National Congress of the Communist Party of China,rural vitalization has attracted more and more attention in China.Compared with China,European countries have already experienced the by-product of rural development bottleneck brought by urbanization.Population loss,imbalance of industrial structure and destruction of rural ecological environment are the main reasons to limit the sustainable development of rural areas.This paper explores the rural vitalization policies of developed countries in Europe,summarizes the relevant rural policies of the European Union in recent years,analyzes typical rural vitalization cases in Europe,and tries to provide references and guidance for rural vitalization in China.展开更多
The use of synthetic biology technology to develop cosmetic ingredients is attracting widespread attention due to its effectiveness,safety,and environmental friendliness.This article explains the concept of synthetic ...The use of synthetic biology technology to develop cosmetic ingredients is attracting widespread attention due to its effectiveness,safety,and environmental friendliness.This article explains the concept of synthetic biology and its key technologies and current status in the production of cosmetic ingredients.It also briefly analyzes the regulatory approaches to synthetic biology-based cosmetic ingredients in different countries and regions,providing guidance for the management of this field in China.The goal is to ensure product safety,enhance consumer trust,and promote the healthy development of the industry.展开更多
This paper presents a mode-switching collaborative defense strategy for spacecraft pursuit-evasiondefense scenarios.In these scenarios,the pursuer tries to avoid the defender while capturing the evader,while the evade...This paper presents a mode-switching collaborative defense strategy for spacecraft pursuit-evasiondefense scenarios.In these scenarios,the pursuer tries to avoid the defender while capturing the evader,while the evader and defender form an alliance to prevent the pursuer from achieving its goal.First,the behavioral modes of the pursuer,including attack and avoidance modes,were established using differential game theory.These modes are then recognized by an interactive multiple model-matching algorithm(IMM),that uses several smooth variable structure filters to match the modes of the pursuer and update their probabilities in real time.Based on the linear-quadratic optimization theory,combined with the results of strategy identification,a two-way cooperative optimal strategy for the defender and evader is proposed,where the evader aids the defender to intercept the pursuer by performing luring maneuvers.Simulation results show that the interactive multi-model algorithm based on several smooth variable structure filters perform well in the strategy identification of the pursuer,and the cooperative defense strategy based on strategy identification has good interception performance when facing pursuers,who are able to flexibly adjust their game objectives.展开更多
Dynamic soaring,inspired by the wind-riding flight of birds such as albatrosses,is a biomimetic technique which leverages wind fields to enhance the endurance of unmanned aerial vehicles(UAVs).Achieving a precise soar...Dynamic soaring,inspired by the wind-riding flight of birds such as albatrosses,is a biomimetic technique which leverages wind fields to enhance the endurance of unmanned aerial vehicles(UAVs).Achieving a precise soaring trajectory is crucial for maximizing energy efficiency during flight.Existing nonlinear programming methods are heavily dependent on the choice of initial values which is hard to determine.Therefore,this paper introduces a deep reinforcement learning method based on a differentially flat model for dynamic soaring trajectory planning and optimization.Initially,the gliding trajectory is parameterized using Fourier basis functions,achieving a flexible trajectory representation with a minimal number of hyperparameters.Subsequently,the trajectory optimization problem is formulated as a dynamic interactive process of Markov decision-making.The hyperparameters of the trajectory are optimized using the Proximal Policy Optimization(PPO2)algorithm from deep reinforcement learning(DRL),reducing the strong reliance on initial value settings in the optimization process.Finally,a comparison between the proposed method and the nonlinear programming method reveals that the trajectory generated by the proposed approach is smoother while meeting the same performance requirements.Specifically,the proposed method achieves a 34%reduction in maximum thrust,a 39.4%decrease in maximum thrust difference,and a 33%reduction in maximum airspeed difference.展开更多
A notable portion of cachelines in real-world workloads exhibits inner non-uniform access behaviors.However,modern cache management rarely considers this fine-grained feature,which impacts the effective cache capacity...A notable portion of cachelines in real-world workloads exhibits inner non-uniform access behaviors.However,modern cache management rarely considers this fine-grained feature,which impacts the effective cache capacity of contemporary high-performance spacecraft processors.To harness these non-uniform access behaviors,an efficient cache replacement framework featuring an auxiliary cache specifically designed to retain evicted hot data was proposed.This framework reconstructs the cache replacement policy,facilitating data migration between the main cache and the auxiliary cache.Unlike traditional cacheline-granularity policies,the approach excels at identifying and evicting infrequently used data,thereby optimizing cache utilization.The evaluation shows impressive performance improvement,especially on workloads with irregular access patterns.Benefiting from fine granularity,the proposal achieves superior storage efficiency compared with commonly used cache management schemes,providing a potential optimization opportunity for modern resource-constrained processors,such as spacecraft processors.Furthermore,the framework complements existing modern cache replacement policies and can be seamlessly integrated with minimal modifications,enhancing their overall efficacy.展开更多
In consideration of the field-of-view(FOV)angle con-straint,this study focuses on the guidance problem with impact time control.A deep reinforcement learning guidance method is given for the missile to obtain the desi...In consideration of the field-of-view(FOV)angle con-straint,this study focuses on the guidance problem with impact time control.A deep reinforcement learning guidance method is given for the missile to obtain the desired impact time and meet the demand of FOV angle constraint.On basis of the framework of the proportional navigation guidance,an auxiliary control term is supplemented by the distributed deep deterministic policy gradient algorithm,in which the reward functions are developed to decrease the time-to-go error and improve the terminal guid-ance accuracy.The numerical simulation demonstrates that the missile governed by the presented deep reinforcement learning guidance law can hit the target successfully at appointed arrival time.展开更多
Policy被越来越多地应用于大型分布式系统的管理 .提出了一种基于逻辑的 Policy定义语言 L PDL ,定义了 L PDL的语法、运行模型和语义 ,为基于 Policy的网络管理提供了一种形式化的框架 .L PDL具有简单的语法规则和与图灵机等价的计算能...Policy被越来越多地应用于大型分布式系统的管理 .提出了一种基于逻辑的 Policy定义语言 L PDL ,定义了 L PDL的语法、运行模型和语义 ,为基于 Policy的网络管理提供了一种形式化的框架 .L PDL具有简单的语法规则和与图灵机等价的计算能力 ,管理人员可以根据实际需要 ,灵活地将系统的解释决策功能用 L PDL语言定义成Policy或封装在系统物理实现代码中 .最后给出了基于 L PDL 的网络管理模型及其原型实现和应用 ,表明 L PDL能很好满足网络管理动态发展的需要 .展开更多
The swellfish produce is the leading industry in ChangLi,but since 2006, due to the increasing green trade barrier of swellfish operated by Japan,the swellfish amount have continued to decrease. Especially after the i...The swellfish produce is the leading industry in ChangLi,but since 2006, due to the increasing green trade barrier of swellfish operated by Japan,the swellfish amount have continued to decrease. Especially after the international financial crisis, this industry suffers a shock hit, many breeders quitted.We should carefully consider how to deal with the problem?展开更多
基金supported by the National Natural Science Foundation of China(72474034)the Young Elite Scientists Sponsorship Program by SAST(20240123)+1 种基金Humanities and Social Science Fund of Ministry of Education of China(21YJC630037,21YJC630057)Social Science Foundation of Xi’an(25JX218).
文摘The National Independent Innovation Demonstration Zone has been assigned the unique mission of demonstrating and leading national innovation and playing a key supportive role in enhancing green innovation.Based on the sample data of A-share listed companies in China from 2007 to 2021,we apply a multi-period difference-in-differences model to analyze whether the implementation of the National Independent Innovation Demonstration Zone policies plays a leverage effect or a crowd out effect on the green innovation efficiency of enterprises and systematically test the regulatory mechanism of government grants and media attention in the process of this influence.The empirical results show that the imple-mentation of the National Independent Innovation Demonstration Zone policies has a positive impact on the green innovation efficiency of enterprises and that the green innovation induced by this reform is not the leverage effect of additional R&D investment on the basis of the existing innovation activities of enterprises but rather the result of the reallocation of resources to crowd out existing non-green innovation.It is further found that government grants and media attention positively moderate the positive driving effect of National Independent Innovation Demonstration Zone policies on the green innovation efficiency of enterprises.
文摘Against the backdrop of the knowledge economy, global economy is goingthrough a major transformation. How to alleviate the pressure of resources and the environ-ment and to achieve the sustainable development of the economy has become a global agenda.China＇ s economy growth has been rapid for decades since the reform and opening up policy,but this has also been a great drain on China＇ s resources and the environment, which is an ur-gent problem to tackle. In recently years, the Chinese government has launched many environ-mental policies in the hope of encouraging technological innovation to guarantee the sustain-able development of the economy. However, research suggested that technological innovationis negatively correlated with environmental policies in most scenarios. In some cases, the num-ber of technological innovation decreases after policies take effect and increases after a whilelike a U - curve. In order to solve this problem, I decided to analyze the panel data from 80provinces in China between 2008 and 2014 and conclude that local governance can implementenvironmental regulations while having a positive impact on the technological innovation inenterprises. In the conclusion, suggestions are given to local governments on how to better en-force environmental policies.
文摘Evolutions and readjustment permeate China’s diplomatic policy in the six decades’ history of PRC, thanks to the tremendous changes happened to both the world and PRC. Enormous opportunities and challenges to China coincide in the present world. China and EU are rising with bigger role to play in the world, though daunting challenges to bilateral relations beckon.
基金supported by the China Postdoctoral Science Foundation(2019M653929)the National Natural Science Foundation of Shandong Province(ZR201910310210)the Green Innovation Science and Technology Plan of Colleges and Universities in Shandong Province(2020KJA014).
文摘The availability of a periodic inspection system under mixed maintenance policies is studied in this paper.To accommodate the characteristic of multiple failure modes for complex systems,the system failures can be divided into two failure modes:hard failure and soft failure.When hard failure occurs,the corresponding corrective maintenance will be performed,taking a random time under the perfect maintenance policy;in contrast,if the soft failure is found,the corresponding preventive maintenance will be performed,taking a random time under the imperfect maintenance policy.The dynamic age setback model is adopted for imperfect maintenance,which can accurately reflect the fault characteristics of the degraded system.Then an analytical model for system steady state availability and instantaneous availability are derived.Moreover,the optimal method to maximize the system steady-state availability through adjusting the inspection interval is researched.According to the above research,the optimization of system unit time cost,preventive maintenance intervals and availability is researched.Finally,the developed approach is demonstrated by a numerical example.
文摘In general-sum games, taking all agent＇s collective rationality into account, we define agents＇ global objective, and propose a novel multi-agent reinforcement learning（RL） algorithm based on global policy. In each learning step, all agents commit to select the global policy to achieve the global goal. We prove this learning algorithm converges given certain restrictions on stage games of learned Q values, and show that it has quite lower computation time complexity than already developed multi-agent learning algorithms for general-sum games. An example is analyzed to show the algorithm＇ s merits.
文摘The livelihoods of farmers are responding to the mioroeconomic policies and result in many changes in the landuse pattern and landscape, and the farmer＇s attitude to the natural resources conservation, specifically in the land degradation. In order to find the relationship between the farmers＇ response to the microeeonomic policies and land degradation, the authors surveyed 120 household in three villages in the black soil zone in Heilongjiang Province. Based on the feedback of the questionnaires, the authors established a model to analyze the impact. The results demonstrated that land degradation was impacted by farmers behaviors in the process of the adjustment of agricultural structures in the city of Zhaodong. And the main factors acted on the land degradation were the agricultural labour education level, the transfer of the labour from agricultural production, the price of the agricultural production materials, and the land scale management. The authors put forward some suggestions for sustainable agriculture based on the analysis on the topic.
文摘This paper analyzes the current situation of the development of home and community based elderly care service in China,points out the existing problems,and puts forward improvement measures,aiming to deepen the understanding of HCBS and promote the theoretical research and practice of community home-based elderly care service.
文摘Since the 19 th National Congress of the Communist Party of China,rural vitalization has attracted more and more attention in China.Compared with China,European countries have already experienced the by-product of rural development bottleneck brought by urbanization.Population loss,imbalance of industrial structure and destruction of rural ecological environment are the main reasons to limit the sustainable development of rural areas.This paper explores the rural vitalization policies of developed countries in Europe,summarizes the relevant rural policies of the European Union in recent years,analyzes typical rural vitalization cases in Europe,and tries to provide references and guidance for rural vitalization in China.
文摘The use of synthetic biology technology to develop cosmetic ingredients is attracting widespread attention due to its effectiveness,safety,and environmental friendliness.This article explains the concept of synthetic biology and its key technologies and current status in the production of cosmetic ingredients.It also briefly analyzes the regulatory approaches to synthetic biology-based cosmetic ingredients in different countries and regions,providing guidance for the management of this field in China.The goal is to ensure product safety,enhance consumer trust,and promote the healthy development of the industry.
基金the Science and Technology Department,Heilongjiang Province under Grant Agreement No JJ2022LH0315。
文摘This paper presents a mode-switching collaborative defense strategy for spacecraft pursuit-evasiondefense scenarios.In these scenarios,the pursuer tries to avoid the defender while capturing the evader,while the evader and defender form an alliance to prevent the pursuer from achieving its goal.First,the behavioral modes of the pursuer,including attack and avoidance modes,were established using differential game theory.These modes are then recognized by an interactive multiple model-matching algorithm(IMM),that uses several smooth variable structure filters to match the modes of the pursuer and update their probabilities in real time.Based on the linear-quadratic optimization theory,combined with the results of strategy identification,a two-way cooperative optimal strategy for the defender and evader is proposed,where the evader aids the defender to intercept the pursuer by performing luring maneuvers.Simulation results show that the interactive multi-model algorithm based on several smooth variable structure filters perform well in the strategy identification of the pursuer,and the cooperative defense strategy based on strategy identification has good interception performance when facing pursuers,who are able to flexibly adjust their game objectives.
基金support received by the National Natural Science Foundation of China(Grant Nos.52372398&62003272).
文摘Dynamic soaring,inspired by the wind-riding flight of birds such as albatrosses,is a biomimetic technique which leverages wind fields to enhance the endurance of unmanned aerial vehicles(UAVs).Achieving a precise soaring trajectory is crucial for maximizing energy efficiency during flight.Existing nonlinear programming methods are heavily dependent on the choice of initial values which is hard to determine.Therefore,this paper introduces a deep reinforcement learning method based on a differentially flat model for dynamic soaring trajectory planning and optimization.Initially,the gliding trajectory is parameterized using Fourier basis functions,achieving a flexible trajectory representation with a minimal number of hyperparameters.Subsequently,the trajectory optimization problem is formulated as a dynamic interactive process of Markov decision-making.The hyperparameters of the trajectory are optimized using the Proximal Policy Optimization(PPO2)algorithm from deep reinforcement learning(DRL),reducing the strong reliance on initial value settings in the optimization process.Finally,a comparison between the proposed method and the nonlinear programming method reveals that the trajectory generated by the proposed approach is smoother while meeting the same performance requirements.Specifically,the proposed method achieves a 34%reduction in maximum thrust,a 39.4%decrease in maximum thrust difference,and a 33%reduction in maximum airspeed difference.
文摘A notable portion of cachelines in real-world workloads exhibits inner non-uniform access behaviors.However,modern cache management rarely considers this fine-grained feature,which impacts the effective cache capacity of contemporary high-performance spacecraft processors.To harness these non-uniform access behaviors,an efficient cache replacement framework featuring an auxiliary cache specifically designed to retain evicted hot data was proposed.This framework reconstructs the cache replacement policy,facilitating data migration between the main cache and the auxiliary cache.Unlike traditional cacheline-granularity policies,the approach excels at identifying and evicting infrequently used data,thereby optimizing cache utilization.The evaluation shows impressive performance improvement,especially on workloads with irregular access patterns.Benefiting from fine granularity,the proposal achieves superior storage efficiency compared with commonly used cache management schemes,providing a potential optimization opportunity for modern resource-constrained processors,such as spacecraft processors.Furthermore,the framework complements existing modern cache replacement policies and can be seamlessly integrated with minimal modifications,enhancing their overall efficacy.
基金supported by the National Natural Science Foundation of China(62003021,62373304)Industry-University-Research Innovation Fund for Chinese Universities(2021ZYA02009)+2 种基金Shaanxi Qinchuangyuan High-level Innovation and Entrepreneurship Talent Project(OCYRCXM-2022-136)Shaanxi Association for Science and Technology Youth Talent Support Program(XXJS202218)the Fundamental Research Funds for the Central Universities(D5000210830).
文摘In consideration of the field-of-view(FOV)angle con-straint,this study focuses on the guidance problem with impact time control.A deep reinforcement learning guidance method is given for the missile to obtain the desired impact time and meet the demand of FOV angle constraint.On basis of the framework of the proportional navigation guidance,an auxiliary control term is supplemented by the distributed deep deterministic policy gradient algorithm,in which the reward functions are developed to decrease the time-to-go error and improve the terminal guid-ance accuracy.The numerical simulation demonstrates that the missile governed by the presented deep reinforcement learning guidance law can hit the target successfully at appointed arrival time.
文摘Policy被越来越多地应用于大型分布式系统的管理 .提出了一种基于逻辑的 Policy定义语言 L PDL ,定义了 L PDL的语法、运行模型和语义 ,为基于 Policy的网络管理提供了一种形式化的框架 .L PDL具有简单的语法规则和与图灵机等价的计算能力 ,管理人员可以根据实际需要 ,灵活地将系统的解释决策功能用 L PDL语言定义成Policy或封装在系统物理实现代码中 .最后给出了基于 L PDL 的网络管理模型及其原型实现和应用 ,表明 L PDL能很好满足网络管理动态发展的需要 .
文摘The swellfish produce is the leading industry in ChangLi,but since 2006, due to the increasing green trade barrier of swellfish operated by Japan,the swellfish amount have continued to decrease. Especially after the international financial crisis, this industry suffers a shock hit, many breeders quitted.We should carefully consider how to deal with the problem?
