The global clustering of inventive talent shapes innovation capacity and drives economic growth.For China,this process is especially crucial in sustaining its development momentum.This paper draws on data from the EPO...The global clustering of inventive talent shapes innovation capacity and drives economic growth.For China,this process is especially crucial in sustaining its development momentum.This paper draws on data from the EPO Worldwide Patent Statistical Database(PATSTAT)to extract global inventive talent mobility information and analyzes the spatial structural evolution of the global inventive talent flow network.The study finds that this network is undergoing a multi-polar transformation,characterized by the rising importance of a few central countries-such as the United States,Germany,and China-and the increasing marginalization of many peripheral countries.In response to this typical phenomenon,the paper constructs an endogenous migration model and conducts empirical testing using the Temporal Exponential Random Graph Model(TERGM).The results reveal several endogenous mechanisms driving global inventive talent flows,including reciprocity,path dependence,convergence effects,transitivity,and cyclic structures,all of which contribute to the network’s multi-polar trend.In addition,differences in regional industrial structures significantly influence talent mobility choices and are a decisive factor in the formation of poles within the multi-polar landscape.Based on these findings,it is suggested that efforts be made to foster two-way channels for talent exchange between China and other global innovation hubs,in order to enhance international collaboration and knowledge flow.We should aim to reduce the migration costs and institutional barriers faced by R&D personnel,thereby encouraging greater mobility of high-skilled talent.Furthermore,the government is advised to strategically leverage regional strengths in high-tech industries as a lever to capture competitive advantages in emerging technologies and products,ultimately strengthening the country’s position in the global innovation landscape.展开更多
The Chinese economy is currently undergoing a digital transformation.New growth drivers are replacing old ones,creating a new development landscape.Countries with strong digital industries will be the first to reap th...The Chinese economy is currently undergoing a digital transformation.New growth drivers are replacing old ones,creating a new development landscape.Countries with strong digital industries will be the first to reap the benefits of digitalization.For China,the transformation to a digital economy is both of inevitability and heterogeneity fueled by dual circulations.Crowded out from more skill-based digitalized sectors,less-skilled labor moves to less digitalized sectors.New capital,industries and technology clusters emerge as new drivers of manufacturing and service sector development.With its large domestic market and industrial competitiveness,China has fostered a new development landscape of“dual circulations”.展开更多
Implementing the rural revitalization strategy is an important decision-making arrangement made by the party s 19th National Congress,and is the general grasp of the work of"agriculture,rural areas and farmers&qu...Implementing the rural revitalization strategy is an important decision-making arrangement made by the party s 19th National Congress,and is the general grasp of the work of"agriculture,rural areas and farmers"in the new era.In rural development,the issue of cultivated land is an important way to promote poverty alleviation in the vast rural areas and build a well-off society in an all-round way.In combination with the fact that the current quality of cultivated land resources in China is not high and the basic fertility has been continuously declining caused due to pollution,China must promote a scientific and rational system of arable land fallow to ensure the further development of agricultural modernization in China.In the process of researching the implementation of the arable land fallow system,the problems of land abandonment and"non-agriculturalization"after farmland fallow,the willingness of farmers to fallow and the subsidy for farmland fallow have been discovered.In response to the problems above,corresponding policy recommendations are put forward in order to better promote the process of arable land fallow and poverty alleviation in China.展开更多
There are few studies on the treatment orientation of psychological counseling and psychotherapy practitioners in China. Additionally,integrative therapy as the first choice is much commoner in less developed areas an...There are few studies on the treatment orientation of psychological counseling and psychotherapy practitioners in China. Additionally,integrative therapy as the first choice is much commoner in less developed areas and among unsupervised practitioners,which reflects the risk of technical confusion relating to the use of integrative therapy in China. The counseling and psychotherapy practitioners are treated as " variables",and researchers are concerned because these " variables" can have a significant impact on the course of treatment and outcomes.Therefore,we analyze the effects of socioeconomic development level on practitioners' treatment orientation. Based on the results,in addition to areas of employment,urban stratification and practitioners' system factors,gender,age,education,professional background,work hours,and other factors affect psychological counseling and psychological treatment practitioners.展开更多
After the founding of People’s Republic of China in 1949,the economic development philosophies of the Communist Party of China(CPC)evolved over time.Review of this difficult journey of ideological change can not only...After the founding of People’s Republic of China in 1949,the economic development philosophies of the Communist Party of China(CPC)evolved over time.Review of this difficult journey of ideological change can not only shed light on the origin,but also better understand the theoretical contributions of Xi Jinping thought on China’s socialist economy in the new era.This paper investigates China’s evolving economic development thoughts from six dimensions in three eras when the Chinese nation(i)independently established a basic industrial system from a blank sheet,(ii)sought prosperity through reform and opening up,and(iii)increased national strength.The six dimensions of this study include:(i)the tasks identified by the Party as essential for various stages of development;(ii)the different modes of economic development embraced based on development thoughts for various stages;(iii)the different modernization pathways to achieve the goals of socialist modernization;(iv)the adjustment of agricultural policy and development paths to close the urban-rural divide;(v)the different approaches for regulating the supply side and demand side of economic development with the emphasis changing across various stages;and(vi)the different emphasis to internal and external economic circulations across various stages.展开更多
Satellite communication systems are facing serious electromagnetic interference,and interference signal recognition is a crucial foundation for targeted anti-interference.In this paper,we propose a novel interference ...Satellite communication systems are facing serious electromagnetic interference,and interference signal recognition is a crucial foundation for targeted anti-interference.In this paper,we propose a novel interference recognition algorithm called HDCGD-CBAM,which adopts the time-frequency images(TFIs)of signals to effectively extract the temporal and spectral characteristics.In the proposed method,we improve the Convolutional Long Short-Term Memory Deep Neural Network(CLDNN)in two ways.First,the simpler Gate Recurrent Unit(GRU)is used instead of the Long Short-Term Memory(LSTM),reducing model parameters while maintaining the recognition accuracy.Second,we replace convolutional layers with hybrid dilated convolution(HDC)to expand the receptive field of feature maps,which captures the correlation of time-frequency data on a larger spatial scale.Additionally,Convolutional Block Attention Module(CBAM)is introduced before and after the HDC layers to strengthen the extraction of critical features and improve the recognition performance.The experiment results show that the HDCGD-CBAM model significantly outper-forms existing methods in terms of recognition accuracy and complexity.When Jamming-to-Signal Ratio(JSR)varies from-30dB to 10dB,it achieves an average accuracy of 78.7%and outperforms the CLDNN by 7.29%while reducing the Floating Point Operations(FLOPs)by 79.8%to 114.75M.Moreover,the proposed model has fewer parameters with 301k compared to several state-of-the-art methods.展开更多
Background:The prevalence of multimorbidity is increasing,with a notable shift towards younger age groups.Methods:Convenience sampling was employed to select 15,988 young and middle-aged adults in Chongqing as the stu...Background:The prevalence of multimorbidity is increasing,with a notable shift towards younger age groups.Methods:Convenience sampling was employed to select 15,988 young and middle-aged adults in Chongqing as the study population.The Apriori algorithm was used to identify the multimorbidity patterns within this population,while an unordered binary logistic regression model was applied to assess the association between sleep,diet and the risk of multimorbidity.Results:The study population had an average age of 39.2±10.1 years.Apriori association rules revealed that the most prevalent binary chronic disease multimorbidity pattern was dyslipidaemia+hypertension(14.78%),while the most common ternary chronic disease multimorbidity pattern was diabetes+dyslipidaemia+hypertension(9.66%).The logistic regression analysis revealed that a lower rating of sleep quality was associated with an elevated risk of multimorbidity(odds ratio(OR)=1.17,95%confidence interval(CI):1.01,1.36).Individuals who adhere to a meat-based diet(OR=1.45,95%CI:1.25,1.68)and those with elevated salt intake(OR=1.22,95%CI:1.01,1.47)were also observed to have an increased risk of multimorbidity.Additionally,a greater likelihood of multimorbidity was observed among those following a spicy diet(OR=1.3,95%CI:1.11,1.52)and consuming more oil(OR=1.16,95%CI:1.01,1.33).Conclusion:A poor sleep quality and a dietary preference for meat-based,salt,spicy and oils were found to be associated with an increased risk of multimorbidity progression among young and middle-aged populations.It is recommended that young and middle-aged adults should pay attention not only to sleep duration but also to sleep quality and improve dietary habits to reduce the likelihood of multimorbidity.展开更多
Considering the demographic polarization in China's urban system over the past three decades,this paper develops a comprehensive quantitative spatial equilibrium model to clarify the centripetal agglomeration effe...Considering the demographic polarization in China's urban system over the past three decades,this paper develops a comprehensive quantitative spatial equilibrium model to clarify the centripetal agglomeration effects,centrifugal commuting costs,locational fundamentals,and migration frictions on urban scale and the evolution of the urban system.The findings from theoretical model deduction,structural estimation,and counterfactual simulations indicate that improving commuting conditions or reducing migration frictions will lead to sustained population growth in mega and larger cities,resulting in a more concentrated urban system distribution.The equalization of agglomeration effects significantly drives population growth in small and medium cities,encouraging the urban system distribution to evolve toward a more uniform pattern.The amenity or productivity equalization of locational fundamentals will support population growth in small and medium cities,and eliminating inter-city housing price disparities will enhance the population size of mega and larger cities.Counterfactual policy evaluations show that a uniform distribution of the urban system promotes social equity but reduces overall social output,whereas a concentrated urban system distribution increases total social output but may hinder social equity.Therefore,this paper aims to balance efficiency and equity by proposing that,in the future,China's urban system should adopt a structural optimization path of stabilizing both ends while promoting the middle.This approach emphasizes the social equity of peripheral small and medium cities and the economic efficiency of super cities,focusing on the development of small and medium cities within metropolitan areas and urban agglomerations.It seeks to transition the urban system from a dumbbell-shaped structure to an olive-shaped structure,fostering a coordinated development pattern among large,medium,and small cities.展开更多
Accelerating the concentration of capital factor resources in the fields of scientific,technological,and industrial innovation is of significant importance for fostering the emergence and development of new quality pr...Accelerating the concentration of capital factor resources in the fields of scientific,technological,and industrial innovation is of significant importance for fostering the emergence and development of new quality productive forces characterized by high technology,high efficiency,and high quality.From the perspective of science and technology finance supporting the development of new quality productive forces,this paper first clarifies the conceptual connotation of patient capital and defines its characteristics and expansion of its scope.It then elucidates the operational mechanisms through which patient capital underpins and facilitates the development of new quality productive forces.Furthermore,this paper discusses the essential principles,requirements,and key points of comprehensive support for new quality productive forces through patient capital,including science and technology credit,venture capital,and stock financing.Finally,several policy recommendations are proposed to cultivate and strengthen patient capital under the current conditions.展开更多
BACKGROUND Secondary hyperparathyroidism,renal osteodystrophy,and cardiovascular adverse events can occur if long-term hyperphosphatemia is not corrected,leading to the adverse prognosis of patients with chronic renal...BACKGROUND Secondary hyperparathyroidism,renal osteodystrophy,and cardiovascular adverse events can occur if long-term hyperphosphatemia is not corrected,leading to the adverse prognosis of patients with chronic renal failure.Besides the use of phosphorus binders,clinical control measures for hyperphosphatemia in these patients should also incorporate diet control.AIM To observe doctor-led intensive diet education effects on health-related quality of life in patients with chronic renal failure and hyperphosphatemia.METHODS We assessed 120 patients with hyperphosphatemia and chronic renal failure on hemodialysis admitted to our hospital(July 2018 to March 2020).The control group(n=60)was given routine nursing guidance,and the observation group(n=60)was given doctor-led intensive diet education.The changes in EQ-5D-3L scores,disease-related knowledge,and compliance scores before intervention and 3 and 6 mo after intervention in the two groups were recorded.The levels of serum parathyroid hormone(iPTH),calcium(Ca),phosphorus(P),calciumphosphorus product(Ca×P),serum creatinine(Scr),and blood urea nitrogen(BUN)before intervention and 3 and 6 mo after intervention in the two groups were assessed along with patient satisfaction.RESULTS There was no significant difference in blood iPTH,Ca,P,Ca×P,Scr,or BUN levels between the groups before intervention.After 3 and 6 mo of intervention,the blood iPTH,Ca,P,and Ca×P levels in the two groups decreased gradually(P<0.05),but there were no significant differences in Scr or BUN.The blood iPTH,Ca,P,and Ca×P levels in the observation group were lower than those in the control group(P<0.05).The satisfaction rate in the observation group after 3 mo was 93.33%and after 6,90.00%,which was high compared with the 80.00%and 71.67%,respectively,in the control group(P<0.05).There was no significant difference in EQ-5D-3L score between the two groups before intervention.After 3 and 6 mo of intervention,the visual analogue scale score of the two groups increased gradually(P<0.05);and the scores of action ability,self-care,daily activities,pain and discomfort,and anxiety and depression decreased gradually(P<0.05).The overall EQ-5D-3L score in the observation group was better than that in the control group(P<0.05).There was no significant difference in diseaserelated knowledge or compliance scores between the groups before intervention.After 3 and 6 mo of intervention,the scores of disease,diet,and medication knowledge and compliance in the two groups increased gradually(P<0.05).The scores of disease-related knowledge and compliance were higher in the observation group than in the control group(P<0.05).CONCLUSION Doctor-led intensive diet education can improve patient satisfaction and the quality of life in patients with chronic renal failure and hyperphosphatemia and promote low-phosphorus diet behavior.展开更多
Reducing emissions due to deforestation is considered a low-cost option for mitigating climate change.However,the recent literature suggests higher opportunity costs because of specific deforestation drivers,which ren...Reducing emissions due to deforestation is considered a low-cost option for mitigating climate change.However,the recent literature suggests higher opportunity costs because of specific deforestation drivers,which render reducing emissions from deforestation and forest degradation(REDD+)for mitigating climate change an uncertain,less attractive,and controversial option.Indonesia is one of the largest greenhouse gas emitters.Since 1989,53.80%of its oil palm expansion has come from forestlands,which has generated a significant amount of carbon emissions.This study uses official data and results from the relevant literature to estimate the costs of oil palm-based deforestation under various scenario assumptions,including different output prices,yields,time horizons,and discount rates.We also calculate the additional cost to preserve a 1-ha forest.We demonstrate that the average opportunity cost from avoiding oil palm-based deforestation is 24.42 USD/tCO_(2)eq in Indonesia,approximately 1.3 times the 2011 EUA carbon price.Additional sums of around 5,466.90–11,042.96 USD/ha should be provided to landowners for the deforestation avoidance caused by oil palm expansion.Special attention should be given to the extensive oil palm expansion in Indonesia and the resulting high opportunity costs for achieving the REDD+target.展开更多
Heat is the largest energy end-use in the world,accounting for about 50%of global final energy consumption.In 2019,the International Energy Agency pointed out that the development of renewable energy heating has becom...Heat is the largest energy end-use in the world,accounting for about 50%of global final energy consumption.In 2019,the International Energy Agency pointed out that the development of renewable energy heating has become a key way for the global response to climate change,environmental pollution control,energy transformation and sustainable development.Biomass energy as a priority for the development of renewable heat sources has been valued by countries around the world.Developed earlier in the EU countries,their biomass heating technology is more mature,and their policy system is more comprehensive.Accounting for 86%of the total renewable thermal energy consumption,biothermal energy in these countries has achieved significant effect and become an important driving force for the decarbonization of the heating industry.This practice has a very high demonstration effect globally.This paper constructs a comprehensive zoning theoretical framework of biomass energy heating and utilization in the EU countries.Based on the calculation of the supply and demand potential of biomass energy heating system,the FCM method is used to quantify the status of biomass resource utilization in 28 EU countries.The results show that there are significant differences in the utilization of biomass energy heating in the EU countries,which can be divided into five categories of comprehensive zones,which are the key development category(Finland,Sweden,Denmark,Estonia,Lithuania and Latvia),resource priority category(Austria,Croatia,Bulgaria,Romania,and Slovenia),policy-oriented category(Germany,Italy,Portugal,and Cyprus),good-potential category(Czech Republic,Hungary,Greece,Spain,Poland,France,and Slovakia)and under-developed category(UK,Netherlands,Belgium,Ireland,Luxembourg and Malta).At the same time,this paper discusses the characteristics and causes of biomass heating utilization of different types of EU countries,and summarizes the mature heating systems and rich experience in the EU countries with China’s current heating situation and its future challenges concerning renewable energy development.Finally,this study provides some implications for China’s clean heating development,energy efficient use,energy supply security and energy structure upgrade.展开更多
Wireless Sensor Actor Networks(WSANs)have contributed to the development of pervasive computing wherein time consideration to perform the tasks of pervasive applications is necessary.Hence,time constraint is one of th...Wireless Sensor Actor Networks(WSANs)have contributed to the development of pervasive computing wherein time consideration to perform the tasks of pervasive applications is necessary.Hence,time constraint is one of the major challenges of WSANs.In this paper,we propose an analytical approach based on queuing theory to minimize the total time taken for completion of tasks,i.e.,make-span,in WSANs with hybrid architecture.The best allocation rates of tasks to actor nodes are figured out through solving inequities and qualities resulting from a steady state analysis of the proposed model.Applying the calculated tasks arrival rates at each of the actors,the make-span could be minimized.To assess the accuracy of the tasks assignment rates to each of the actors attained from the suggested analytical approach and to provide a graphical representation of the WSAN a formal model in terms of the generalized stochastic Petri net(GSPN)is presented.The proposed GSPN model is analyzed,tasks distribution weights to the actors are determined,and then tasks allocation rates can be computed.Comparing the results achieved from the analytical approach and the GSPN model demonstrates that allocation rates and hence,the make-span figured out from proposed approach and the formal model are the same.Experimental results in typical scenarios show shorter make-span and longer network lifetime compared to when one of the two popular traditional task allocation algorithms,namely,opportunistic load balancing(OLB),and stochastic allocation(SA)algorithms,is used.展开更多
In the past 30 years, China has gone from the transformation from a planned economy to a market economy, from the extensive economic growth mode to intensive economic growth model, and from relying on investment and e...In the past 30 years, China has gone from the transformation from a planned economy to a market economy, from the extensive economic growth mode to intensive economic growth model, and from relying on investment and export-led economy to relying on domestic demand and stimulating economic. China＇s economic transformation includes three parts： The first is the reform of economic system, the second is the change in the pattern of economic growth and the third is the adjustment of economic structure. This article describes the historical evolution and the reality of China＇s economic transformation, analysis the obstacles to China＇s economic transformation, and on this basis, put forward some suggestions.展开更多
The content of China＇s economic transformation is not single, and this article argues that it includes three parts. The first is the reform of economic system, the second is the change in the pattern of economic grow...The content of China＇s economic transformation is not single, and this article argues that it includes three parts. The first is the reform of economic system, the second is the change in the pattern of economic growth, and the third is the adjustment of economic structure. Government is the leading force of China＇s economic transformation, and repeated reform of government institutions has brought about some changes to government functions. But problems are obvious that lag changes of government functions have become an obstacle in China＇s economic transformation. This article describes the historical evolution and the reality of China＇s economic transformation, and analyzes the main reasons of lag changes in government functions, and reveals that the transformation of government functions is the key for successful transformation of China＇s economy.展开更多
In the era of new media, the nature of being real-time and globalized of the public communication has posed unprecedented challenges to China’s public diplomacy as a whole. This is mainly manifested in the increasing...In the era of new media, the nature of being real-time and globalized of the public communication has posed unprecedented challenges to China’s public diplomacy as a whole. This is mainly manifested in the increasing obscurity of the boundary between domestic and foreign affairs. Any domestic event,展开更多
Artificial intelligence(AI)has a significant spillover effect and plays a crucial role in driving technological progress and high-quality development.The introduction of new quality productive forces points out the di...Artificial intelligence(AI)has a significant spillover effect and plays a crucial role in driving technological progress and high-quality development.The introduction of new quality productive forces points out the direction for the advancement of Chinese modernization.Based on data from Chinese A-share listed companies between 2015 and 2022 and a computed index of new quality productive forces,this study employs a two-way fixed effects model to empirically explore the effect of AI on enterprise innovation performance and its underlying mechanisms.It also confirms the empowering role of new quality productive forces.The findings demonstrate that AI significantly enhances enterprise innovation performance.This conclusion remains robust after addressing potential endogeneity and conducting multiple robustness tests.Heterogeneity analysis further indicates that the positive effect of AI on enterprise innovation performance is more pronounced in regions with higher levels of new quality productive forces,private enterprises,technology-intensive industries,and low-pollution industries.Mechanism analysis finds that AI enhances enterprise innovation performance by enhancing enterprises’independent innovation capabilities and upgrading their R&D skills.Moreover,new quality productive forces empower a long-lasting and dynamic effect on AI’s capacity to improve enterprise innovation performance.This empowering role primarily stems from three dimensions:technological innovation,computing power infrastructure,and algorithm application.Overall,this study enriches the current theoretical understanding of new quality productive forces and provides empirical evidence for their significant role.展开更多
The resilience and security of industrial and supply chains are not just reactive responses to disruptions in external circulation but proactive measures aimed at developing new quality productive forces.These actions...The resilience and security of industrial and supply chains are not just reactive responses to disruptions in external circulation but proactive measures aimed at developing new quality productive forces.These actions play a crucial role in advancing the construction and improvement of the modern industrial system.Industrial and supply chains have various definitions and regulations.The former is linked to the innovative capacity of new quality productive forces,while the latter influences the complete realization and market value attainment of new quality productive forces.Organizing industrial chains around new quality productive forces,deploying the innovation chain within industrial chains,and establishing resilient industrial and supply chains are three interconnected components crucial for constructing a modern industrial system.The key aspects of resilience and security of supply chains from an industrial chain perspective center on the adaptability of intermediate goods and the corresponding innovation in these goods,involving addressing technological bottlenecks and upgrading the industrial chains.Enterprises with significant asset specificity exhibit a strong reliance on the stability and security of the supply chains.Supply chains are not a form of property organization,but rather an industrial organization.The fundamental theory for constructing resilient supply chains involves the co-creation and sharing of overall value within supply chains,fostering mutual trust among participating enterprises,maintaining supply chains with efficient contracts,and leveraging the leading role of supply chain leaders.In the digital economy era,digitization and intelligence can leverage their platforms and intelligent connections to enhance the controllability and resilience of supply chain operations.展开更多
基金supported by the Major Project of the National Social Science Fund of China,titled“Design Path Selection for the Mechanism of New and Old Growth Driver Conversion”(Grant No.18ZDA077)by the Joint Special Major Research Project of the Yangtze River Delta Economics and Social Development Research Center at Nanjing University and the Collaborative Innovation Center for China Economy(CICCE),titled“Practicing Innovation in China’s Development Economics for the Yangtze River Delta:From Industrial Clusters to Technological Clusters”(Grant No.CYD2022006).
文摘The global clustering of inventive talent shapes innovation capacity and drives economic growth.For China,this process is especially crucial in sustaining its development momentum.This paper draws on data from the EPO Worldwide Patent Statistical Database(PATSTAT)to extract global inventive talent mobility information and analyzes the spatial structural evolution of the global inventive talent flow network.The study finds that this network is undergoing a multi-polar transformation,characterized by the rising importance of a few central countries-such as the United States,Germany,and China-and the increasing marginalization of many peripheral countries.In response to this typical phenomenon,the paper constructs an endogenous migration model and conducts empirical testing using the Temporal Exponential Random Graph Model(TERGM).The results reveal several endogenous mechanisms driving global inventive talent flows,including reciprocity,path dependence,convergence effects,transitivity,and cyclic structures,all of which contribute to the network’s multi-polar trend.In addition,differences in regional industrial structures significantly influence talent mobility choices and are a decisive factor in the formation of poles within the multi-polar landscape.Based on these findings,it is suggested that efforts be made to foster two-way channels for talent exchange between China and other global innovation hubs,in order to enhance international collaboration and knowledge flow.We should aim to reduce the migration costs and institutional barriers faced by R&D personnel,thereby encouraging greater mobility of high-skilled talent.Furthermore,the government is advised to strategically leverage regional strengths in high-tech industries as a lever to capture competitive advantages in emerging technologies and products,ultimately strengthening the country’s position in the global innovation landscape.
基金国家社科基金重大项目“新旧动能转换机制设计与路径选择”(批准号:18Z D A077)南京大学长江三角洲经济社会发展研究中心暨区域经济转型与管理变革协同创新中心联合招标重大项目“长三角区域世界级产业集聚培育和协调发展”(批准号:CYD-2020019)。
文摘The Chinese economy is currently undergoing a digital transformation.New growth drivers are replacing old ones,creating a new development landscape.Countries with strong digital industries will be the first to reap the benefits of digitalization.For China,the transformation to a digital economy is both of inevitability and heterogeneity fueled by dual circulations.Crowded out from more skill-based digitalized sectors,less-skilled labor moves to less digitalized sectors.New capital,industries and technology clusters emerge as new drivers of manufacturing and service sector development.With its large domestic market and industrial competitiveness,China has fostered a new development landscape of“dual circulations”.
基金Supported by Major Project of National Social Science Fund(15ZDA020)Open-ended Fund of Yangtze River Delta Economics and Social Development Research Center(CJKF-2017-06)Social Science Research Project of Yangtze University(YS2018027)
文摘Implementing the rural revitalization strategy is an important decision-making arrangement made by the party s 19th National Congress,and is the general grasp of the work of"agriculture,rural areas and farmers"in the new era.In rural development,the issue of cultivated land is an important way to promote poverty alleviation in the vast rural areas and build a well-off society in an all-round way.In combination with the fact that the current quality of cultivated land resources in China is not high and the basic fertility has been continuously declining caused due to pollution,China must promote a scientific and rational system of arable land fallow to ensure the further development of agricultural modernization in China.In the process of researching the implementation of the arable land fallow system,the problems of land abandonment and"non-agriculturalization"after farmland fallow,the willingness of farmers to fallow and the subsidy for farmland fallow have been discovered.In response to the problems above,corresponding policy recommendations are put forward in order to better promote the process of arable land fallow and poverty alleviation in China.
基金Supported by China Natural Science Fund for Youth Foundation(7147310171403100)
文摘There are few studies on the treatment orientation of psychological counseling and psychotherapy practitioners in China. Additionally,integrative therapy as the first choice is much commoner in less developed areas and among unsupervised practitioners,which reflects the risk of technical confusion relating to the use of integrative therapy in China. The counseling and psychotherapy practitioners are treated as " variables",and researchers are concerned because these " variables" can have a significant impact on the course of treatment and outcomes.Therefore,we analyze the effects of socioeconomic development level on practitioners' treatment orientation. Based on the results,in addition to areas of employment,urban stratification and practitioners' system factors,gender,age,education,professional background,work hours,and other factors affect psychological counseling and psychological treatment practitioners.
文摘After the founding of People’s Republic of China in 1949,the economic development philosophies of the Communist Party of China(CPC)evolved over time.Review of this difficult journey of ideological change can not only shed light on the origin,but also better understand the theoretical contributions of Xi Jinping thought on China’s socialist economy in the new era.This paper investigates China’s evolving economic development thoughts from six dimensions in three eras when the Chinese nation(i)independently established a basic industrial system from a blank sheet,(ii)sought prosperity through reform and opening up,and(iii)increased national strength.The six dimensions of this study include:(i)the tasks identified by the Party as essential for various stages of development;(ii)the different modes of economic development embraced based on development thoughts for various stages;(iii)the different modernization pathways to achieve the goals of socialist modernization;(iv)the adjustment of agricultural policy and development paths to close the urban-rural divide;(v)the different approaches for regulating the supply side and demand side of economic development with the emphasis changing across various stages;and(vi)the different emphasis to internal and external economic circulations across various stages.
基金This work was supported by the Beijing Natural Science Foundation(L202003).
文摘Satellite communication systems are facing serious electromagnetic interference,and interference signal recognition is a crucial foundation for targeted anti-interference.In this paper,we propose a novel interference recognition algorithm called HDCGD-CBAM,which adopts the time-frequency images(TFIs)of signals to effectively extract the temporal and spectral characteristics.In the proposed method,we improve the Convolutional Long Short-Term Memory Deep Neural Network(CLDNN)in two ways.First,the simpler Gate Recurrent Unit(GRU)is used instead of the Long Short-Term Memory(LSTM),reducing model parameters while maintaining the recognition accuracy.Second,we replace convolutional layers with hybrid dilated convolution(HDC)to expand the receptive field of feature maps,which captures the correlation of time-frequency data on a larger spatial scale.Additionally,Convolutional Block Attention Module(CBAM)is introduced before and after the HDC layers to strengthen the extraction of critical features and improve the recognition performance.The experiment results show that the HDCGD-CBAM model significantly outper-forms existing methods in terms of recognition accuracy and complexity.When Jamming-to-Signal Ratio(JSR)varies from-30dB to 10dB,it achieves an average accuracy of 78.7%and outperforms the CLDNN by 7.29%while reducing the Floating Point Operations(FLOPs)by 79.8%to 114.75M.Moreover,the proposed model has fewer parameters with 301k compared to several state-of-the-art methods.
基金supported by Chongqing Natural Science Foundation General Project(cstc2021jcyi msxmX0069)Chongqing Social Science Planning Project(2022NDYB196).
文摘Background:The prevalence of multimorbidity is increasing,with a notable shift towards younger age groups.Methods:Convenience sampling was employed to select 15,988 young and middle-aged adults in Chongqing as the study population.The Apriori algorithm was used to identify the multimorbidity patterns within this population,while an unordered binary logistic regression model was applied to assess the association between sleep,diet and the risk of multimorbidity.Results:The study population had an average age of 39.2±10.1 years.Apriori association rules revealed that the most prevalent binary chronic disease multimorbidity pattern was dyslipidaemia+hypertension(14.78%),while the most common ternary chronic disease multimorbidity pattern was diabetes+dyslipidaemia+hypertension(9.66%).The logistic regression analysis revealed that a lower rating of sleep quality was associated with an elevated risk of multimorbidity(odds ratio(OR)=1.17,95%confidence interval(CI):1.01,1.36).Individuals who adhere to a meat-based diet(OR=1.45,95%CI:1.25,1.68)and those with elevated salt intake(OR=1.22,95%CI:1.01,1.47)were also observed to have an increased risk of multimorbidity.Additionally,a greater likelihood of multimorbidity was observed among those following a spicy diet(OR=1.3,95%CI:1.11,1.52)and consuming more oil(OR=1.16,95%CI:1.01,1.33).Conclusion:A poor sleep quality and a dietary preference for meat-based,salt,spicy and oils were found to be associated with an increased risk of multimorbidity progression among young and middle-aged populations.It is recommended that young and middle-aged adults should pay attention not only to sleep duration but also to sleep quality and improve dietary habits to reduce the likelihood of multimorbidity.
基金supported by the major program"Study on Constructing Coordinated Development Pattern of Large,Small and Medium Cities"(No.23ZDA048),approved by the National Social Science Fund of China.
文摘Considering the demographic polarization in China's urban system over the past three decades,this paper develops a comprehensive quantitative spatial equilibrium model to clarify the centripetal agglomeration effects,centrifugal commuting costs,locational fundamentals,and migration frictions on urban scale and the evolution of the urban system.The findings from theoretical model deduction,structural estimation,and counterfactual simulations indicate that improving commuting conditions or reducing migration frictions will lead to sustained population growth in mega and larger cities,resulting in a more concentrated urban system distribution.The equalization of agglomeration effects significantly drives population growth in small and medium cities,encouraging the urban system distribution to evolve toward a more uniform pattern.The amenity or productivity equalization of locational fundamentals will support population growth in small and medium cities,and eliminating inter-city housing price disparities will enhance the population size of mega and larger cities.Counterfactual policy evaluations show that a uniform distribution of the urban system promotes social equity but reduces overall social output,whereas a concentrated urban system distribution increases total social output but may hinder social equity.Therefore,this paper aims to balance efficiency and equity by proposing that,in the future,China's urban system should adopt a structural optimization path of stabilizing both ends while promoting the middle.This approach emphasizes the social equity of peripheral small and medium cities and the economic efficiency of super cities,focusing on the development of small and medium cities within metropolitan areas and urban agglomerations.It seeks to transition the urban system from a dumbbell-shaped structure to an olive-shaped structure,fostering a coordinated development pattern among large,medium,and small cities.
文摘Accelerating the concentration of capital factor resources in the fields of scientific,technological,and industrial innovation is of significant importance for fostering the emergence and development of new quality productive forces characterized by high technology,high efficiency,and high quality.From the perspective of science and technology finance supporting the development of new quality productive forces,this paper first clarifies the conceptual connotation of patient capital and defines its characteristics and expansion of its scope.It then elucidates the operational mechanisms through which patient capital underpins and facilitates the development of new quality productive forces.Furthermore,this paper discusses the essential principles,requirements,and key points of comprehensive support for new quality productive forces through patient capital,including science and technology credit,venture capital,and stock financing.Finally,several policy recommendations are proposed to cultivate and strengthen patient capital under the current conditions.
文摘BACKGROUND Secondary hyperparathyroidism,renal osteodystrophy,and cardiovascular adverse events can occur if long-term hyperphosphatemia is not corrected,leading to the adverse prognosis of patients with chronic renal failure.Besides the use of phosphorus binders,clinical control measures for hyperphosphatemia in these patients should also incorporate diet control.AIM To observe doctor-led intensive diet education effects on health-related quality of life in patients with chronic renal failure and hyperphosphatemia.METHODS We assessed 120 patients with hyperphosphatemia and chronic renal failure on hemodialysis admitted to our hospital(July 2018 to March 2020).The control group(n=60)was given routine nursing guidance,and the observation group(n=60)was given doctor-led intensive diet education.The changes in EQ-5D-3L scores,disease-related knowledge,and compliance scores before intervention and 3 and 6 mo after intervention in the two groups were recorded.The levels of serum parathyroid hormone(iPTH),calcium(Ca),phosphorus(P),calciumphosphorus product(Ca×P),serum creatinine(Scr),and blood urea nitrogen(BUN)before intervention and 3 and 6 mo after intervention in the two groups were assessed along with patient satisfaction.RESULTS There was no significant difference in blood iPTH,Ca,P,Ca×P,Scr,or BUN levels between the groups before intervention.After 3 and 6 mo of intervention,the blood iPTH,Ca,P,and Ca×P levels in the two groups decreased gradually(P<0.05),but there were no significant differences in Scr or BUN.The blood iPTH,Ca,P,and Ca×P levels in the observation group were lower than those in the control group(P<0.05).The satisfaction rate in the observation group after 3 mo was 93.33%and after 6,90.00%,which was high compared with the 80.00%and 71.67%,respectively,in the control group(P<0.05).There was no significant difference in EQ-5D-3L score between the two groups before intervention.After 3 and 6 mo of intervention,the visual analogue scale score of the two groups increased gradually(P<0.05);and the scores of action ability,self-care,daily activities,pain and discomfort,and anxiety and depression decreased gradually(P<0.05).The overall EQ-5D-3L score in the observation group was better than that in the control group(P<0.05).There was no significant difference in diseaserelated knowledge or compliance scores between the groups before intervention.After 3 and 6 mo of intervention,the scores of disease,diet,and medication knowledge and compliance in the two groups increased gradually(P<0.05).The scores of disease-related knowledge and compliance were higher in the observation group than in the control group(P<0.05).CONCLUSION Doctor-led intensive diet education can improve patient satisfaction and the quality of life in patients with chronic renal failure and hyperphosphatemia and promote low-phosphorus diet behavior.
基金supported by the National Natural Science Foundation of China(Program No.72073064)the National Natural Science Foundation of China Youth Science Fund Project(Program No.71703069)+1 种基金the“333 distinguished Talents Project”Foundation of Jiangsu Province in China(Grant No.BRA2018070)Postgraduate Research&Practice Innovation Program of Jiangsu Province(Program No.KYCX20_0876).
文摘Reducing emissions due to deforestation is considered a low-cost option for mitigating climate change.However,the recent literature suggests higher opportunity costs because of specific deforestation drivers,which render reducing emissions from deforestation and forest degradation(REDD+)for mitigating climate change an uncertain,less attractive,and controversial option.Indonesia is one of the largest greenhouse gas emitters.Since 1989,53.80%of its oil palm expansion has come from forestlands,which has generated a significant amount of carbon emissions.This study uses official data and results from the relevant literature to estimate the costs of oil palm-based deforestation under various scenario assumptions,including different output prices,yields,time horizons,and discount rates.We also calculate the additional cost to preserve a 1-ha forest.We demonstrate that the average opportunity cost from avoiding oil palm-based deforestation is 24.42 USD/tCO_(2)eq in Indonesia,approximately 1.3 times the 2011 EUA carbon price.Additional sums of around 5,466.90–11,042.96 USD/ha should be provided to landowners for the deforestation avoidance caused by oil palm expansion.Special attention should be given to the extensive oil palm expansion in Indonesia and the resulting high opportunity costs for achieving the REDD+target.
文摘Heat is the largest energy end-use in the world,accounting for about 50%of global final energy consumption.In 2019,the International Energy Agency pointed out that the development of renewable energy heating has become a key way for the global response to climate change,environmental pollution control,energy transformation and sustainable development.Biomass energy as a priority for the development of renewable heat sources has been valued by countries around the world.Developed earlier in the EU countries,their biomass heating technology is more mature,and their policy system is more comprehensive.Accounting for 86%of the total renewable thermal energy consumption,biothermal energy in these countries has achieved significant effect and become an important driving force for the decarbonization of the heating industry.This practice has a very high demonstration effect globally.This paper constructs a comprehensive zoning theoretical framework of biomass energy heating and utilization in the EU countries.Based on the calculation of the supply and demand potential of biomass energy heating system,the FCM method is used to quantify the status of biomass resource utilization in 28 EU countries.The results show that there are significant differences in the utilization of biomass energy heating in the EU countries,which can be divided into five categories of comprehensive zones,which are the key development category(Finland,Sweden,Denmark,Estonia,Lithuania and Latvia),resource priority category(Austria,Croatia,Bulgaria,Romania,and Slovenia),policy-oriented category(Germany,Italy,Portugal,and Cyprus),good-potential category(Czech Republic,Hungary,Greece,Spain,Poland,France,and Slovakia)and under-developed category(UK,Netherlands,Belgium,Ireland,Luxembourg and Malta).At the same time,this paper discusses the characteristics and causes of biomass heating utilization of different types of EU countries,and summarizes the mature heating systems and rich experience in the EU countries with China’s current heating situation and its future challenges concerning renewable energy development.Finally,this study provides some implications for China’s clean heating development,energy efficient use,energy supply security and energy structure upgrade.
文摘Wireless Sensor Actor Networks(WSANs)have contributed to the development of pervasive computing wherein time consideration to perform the tasks of pervasive applications is necessary.Hence,time constraint is one of the major challenges of WSANs.In this paper,we propose an analytical approach based on queuing theory to minimize the total time taken for completion of tasks,i.e.,make-span,in WSANs with hybrid architecture.The best allocation rates of tasks to actor nodes are figured out through solving inequities and qualities resulting from a steady state analysis of the proposed model.Applying the calculated tasks arrival rates at each of the actors,the make-span could be minimized.To assess the accuracy of the tasks assignment rates to each of the actors attained from the suggested analytical approach and to provide a graphical representation of the WSAN a formal model in terms of the generalized stochastic Petri net(GSPN)is presented.The proposed GSPN model is analyzed,tasks distribution weights to the actors are determined,and then tasks allocation rates can be computed.Comparing the results achieved from the analytical approach and the GSPN model demonstrates that allocation rates and hence,the make-span figured out from proposed approach and the formal model are the same.Experimental results in typical scenarios show shorter make-span and longer network lifetime compared to when one of the two popular traditional task allocation algorithms,namely,opportunistic load balancing(OLB),and stochastic allocation(SA)algorithms,is used.
文摘In the past 30 years, China has gone from the transformation from a planned economy to a market economy, from the extensive economic growth mode to intensive economic growth model, and from relying on investment and export-led economy to relying on domestic demand and stimulating economic. China＇s economic transformation includes three parts： The first is the reform of economic system, the second is the change in the pattern of economic growth and the third is the adjustment of economic structure. This article describes the historical evolution and the reality of China＇s economic transformation, analysis the obstacles to China＇s economic transformation, and on this basis, put forward some suggestions.
文摘The content of China＇s economic transformation is not single, and this article argues that it includes three parts. The first is the reform of economic system, the second is the change in the pattern of economic growth, and the third is the adjustment of economic structure. Government is the leading force of China＇s economic transformation, and repeated reform of government institutions has brought about some changes to government functions. But problems are obvious that lag changes of government functions have become an obstacle in China＇s economic transformation. This article describes the historical evolution and the reality of China＇s economic transformation, and analyzes the main reasons of lag changes in government functions, and reveals that the transformation of government functions is the key for successful transformation of China＇s economy.
文摘In the era of new media, the nature of being real-time and globalized of the public communication has posed unprecedented challenges to China’s public diplomacy as a whole. This is mainly manifested in the increasing obscurity of the boundary between domestic and foreign affairs. Any domestic event,
基金supported by the Major Project of the National Social Science Fund of China“A Study on the Optimal Allocation of Technological Innovation Factors under a New National System”(No.23&ZD133)the Major Project of the Key Research Institute of Humanities and Social Science in Universities“A Study on Digital Economy Development and High-Quality Integrated Development in the Yangtze River Delta”(No.22JJD790037)the General Project of the Jiangsu Provincial Social Science Fund“General Secretary Xi Jinping’s Important Expositions on Opening Up and the Study of Jiangsu’s Open Economy”(No.22EYB014).
文摘Artificial intelligence(AI)has a significant spillover effect and plays a crucial role in driving technological progress and high-quality development.The introduction of new quality productive forces points out the direction for the advancement of Chinese modernization.Based on data from Chinese A-share listed companies between 2015 and 2022 and a computed index of new quality productive forces,this study employs a two-way fixed effects model to empirically explore the effect of AI on enterprise innovation performance and its underlying mechanisms.It also confirms the empowering role of new quality productive forces.The findings demonstrate that AI significantly enhances enterprise innovation performance.This conclusion remains robust after addressing potential endogeneity and conducting multiple robustness tests.Heterogeneity analysis further indicates that the positive effect of AI on enterprise innovation performance is more pronounced in regions with higher levels of new quality productive forces,private enterprises,technology-intensive industries,and low-pollution industries.Mechanism analysis finds that AI enhances enterprise innovation performance by enhancing enterprises’independent innovation capabilities and upgrading their R&D skills.Moreover,new quality productive forces empower a long-lasting and dynamic effect on AI’s capacity to improve enterprise innovation performance.This empowering role primarily stems from three dimensions:technological innovation,computing power infrastructure,and algorithm application.Overall,this study enriches the current theoretical understanding of new quality productive forces and provides empirical evidence for their significant role.
文摘The resilience and security of industrial and supply chains are not just reactive responses to disruptions in external circulation but proactive measures aimed at developing new quality productive forces.These actions play a crucial role in advancing the construction and improvement of the modern industrial system.Industrial and supply chains have various definitions and regulations.The former is linked to the innovative capacity of new quality productive forces,while the latter influences the complete realization and market value attainment of new quality productive forces.Organizing industrial chains around new quality productive forces,deploying the innovation chain within industrial chains,and establishing resilient industrial and supply chains are three interconnected components crucial for constructing a modern industrial system.The key aspects of resilience and security of supply chains from an industrial chain perspective center on the adaptability of intermediate goods and the corresponding innovation in these goods,involving addressing technological bottlenecks and upgrading the industrial chains.Enterprises with significant asset specificity exhibit a strong reliance on the stability and security of the supply chains.Supply chains are not a form of property organization,but rather an industrial organization.The fundamental theory for constructing resilient supply chains involves the co-creation and sharing of overall value within supply chains,fostering mutual trust among participating enterprises,maintaining supply chains with efficient contracts,and leveraging the leading role of supply chain leaders.In the digital economy era,digitization and intelligence can leverage their platforms and intelligent connections to enhance the controllability and resilience of supply chain operations.
