Today,with the rapid development of the internet,a large amount of information often accompanies the rapid transmission of disease outbreaks,and increasing numbers of scholars are studying the relationship between inf...Today,with the rapid development of the internet,a large amount of information often accompanies the rapid transmission of disease outbreaks,and increasing numbers of scholars are studying the relationship between information and the disease transmission process using complex networks.In fact,the disease transmission process is very complex.Besides this information,there will often be individual behavioral measures and other factors to consider.Most of the previous research has aimed to establish a two-layer network model to consider the impact of information on the transmission process of disease,rarely divided into information and behavior,respectively.To carry out a more in-depth analysis of the disease transmission process and the intrinsic influencing mechanism,this paper divides information and behavior into two layers and proposes the establishment of a complex network to study the dynamic co-evolution of information diffusion,vaccination behavior,and disease transmission.This is achieved by considering four influential relationships between adjacent layers in multilayer networks.In the information layer,the diffusion process of negative information is described,and the feedback effects of local and global vaccination are considered.In the behavioral layer,an individual's vaccination behavior is described,and the probability of an individual receiving a vaccination is influenced by two factors:the influence of negative information,and the influence of local and global disease severity.In the disease layer,individual susceptibility is considered to be influenced by vaccination behavior.The state transition equations are derived using the micro Markov chain approach(MMCA),and disease prevalence thresholds are obtained.It is demonstrated through simulation experiments that the negative information diffusion is less influenced by local vaccination behavior,and is mainly influenced by global vaccination behavior;vaccination behavior is mainly influenced by local disease conditions,and is less influenced by global disease conditions;the disease transmission threshold increases with the increasing vaccination rate;and the scale of disease transmission increases with the increasing negative information diffusion rate and decreases with the increasing vaccination rate.Finally,it is found that when individual vaccination behavior considers both the influence of negative information and disease,it can increase the disease transmission threshold and reduce the scale of disease transmission.Therefore,we should resist the diffusion of negative information,increase vaccination proportions,and take appropriate protective measures in time.展开更多
In the process of human behavior recognition, the traditional dense optical flow method has too many pixels and too much overhead, which limits the running speed. This paper proposed a method combing YOLOv3 (You Only ...In the process of human behavior recognition, the traditional dense optical flow method has too many pixels and too much overhead, which limits the running speed. This paper proposed a method combing YOLOv3 (You Only Look Once v3) and local optical flow method. Based on the dense optical flow method, the optical flow modulus of the area where the human target is detected is calculated to reduce the amount of computation and save the cost in terms of time. And then, a threshold value is set to complete the human behavior identification. Through design algorithm, experimental verification and other steps, the walking, running and falling state of human body in real life indoor sports video was identified. Experimental results show that this algorithm is more advantageous for jogging behavior recognition.展开更多
This paper investigates the effect of local government intervention on capital deepening of manufacturing sector by using interprovincial panel data sets of 28 Chinese provinces,municipalities and autonomous regions b...This paper investigates the effect of local government intervention on capital deepening of manufacturing sector by using interprovincial panel data sets of 28 Chinese provinces,municipalities and autonomous regions between 1994 and 2011.Theoretical research indicates that as a transitional economy,China's local government intervention in corporate investment behaviors will cause excessive investment,thus bringing about a long-term and sustained tendency of capital deepening in manufacturing sector.Empirical test further discovers that in a certain range,the phenomenon of capital deepening in manufacturing sector is not an inevitable result endogenous to economic development and technology progress,and that investment behaviors of manufacturing sector are largely subject to the external institutional environment.Fiscal decentralization has indeed promoted capital deepening of manufacturing sector.Financial credit expansion and interventions in SOEs are major instruments for local governments to intervene in the capital deepening of manufacturing sector and such an influence is particularly significant for China's central,western and northeast regions.Therefore,clarifying government functions and improving local government performance review mechanism are of great significance to the healthy development of China's manufacturing sector.展开更多
The fiscal system is an important part of national economic management and deals with the division of financial responsibility and power, regulates and defines the fiscal activities among different levels of governmen...The fiscal system is an important part of national economic management and deals with the division of financial responsibility and power, regulates and defines the fiscal activities among different levels of governments. The changes in economic system and economic structure decide the changes of fiscal function and fiscal structure, which results in the changes in intergovernmental distribution form and local government behavior. This paper takes a look at the stages of China＇s fiscal reform process and the impacts on local government behavior, and tries to find measures for perfecting the fiscal system reform to optimize local government behavior and guarantee a healthy national economy.展开更多
基金Project supported by the National Natural Science Foundation of China (Grant Nos. 72174121 and 71774111)the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learningthe Natural Science Foundation of Shanghai (Grant No. 21ZR1444100)
文摘Today,with the rapid development of the internet,a large amount of information often accompanies the rapid transmission of disease outbreaks,and increasing numbers of scholars are studying the relationship between information and the disease transmission process using complex networks.In fact,the disease transmission process is very complex.Besides this information,there will often be individual behavioral measures and other factors to consider.Most of the previous research has aimed to establish a two-layer network model to consider the impact of information on the transmission process of disease,rarely divided into information and behavior,respectively.To carry out a more in-depth analysis of the disease transmission process and the intrinsic influencing mechanism,this paper divides information and behavior into two layers and proposes the establishment of a complex network to study the dynamic co-evolution of information diffusion,vaccination behavior,and disease transmission.This is achieved by considering four influential relationships between adjacent layers in multilayer networks.In the information layer,the diffusion process of negative information is described,and the feedback effects of local and global vaccination are considered.In the behavioral layer,an individual's vaccination behavior is described,and the probability of an individual receiving a vaccination is influenced by two factors:the influence of negative information,and the influence of local and global disease severity.In the disease layer,individual susceptibility is considered to be influenced by vaccination behavior.The state transition equations are derived using the micro Markov chain approach(MMCA),and disease prevalence thresholds are obtained.It is demonstrated through simulation experiments that the negative information diffusion is less influenced by local vaccination behavior,and is mainly influenced by global vaccination behavior;vaccination behavior is mainly influenced by local disease conditions,and is less influenced by global disease conditions;the disease transmission threshold increases with the increasing vaccination rate;and the scale of disease transmission increases with the increasing negative information diffusion rate and decreases with the increasing vaccination rate.Finally,it is found that when individual vaccination behavior considers both the influence of negative information and disease,it can increase the disease transmission threshold and reduce the scale of disease transmission.Therefore,we should resist the diffusion of negative information,increase vaccination proportions,and take appropriate protective measures in time.
文摘In the process of human behavior recognition, the traditional dense optical flow method has too many pixels and too much overhead, which limits the running speed. This paper proposed a method combing YOLOv3 (You Only Look Once v3) and local optical flow method. Based on the dense optical flow method, the optical flow modulus of the area where the human target is detected is calculated to reduce the amount of computation and save the cost in terms of time. And then, a threshold value is set to complete the human behavior identification. Through design algorithm, experimental verification and other steps, the walking, running and falling state of human body in real life indoor sports video was identified. Experimental results show that this algorithm is more advantageous for jogging behavior recognition.
基金funded by Humanities and Social Sciences Research Youth Foundation Program of the Ministry of Education:Challenges of Workforce Absorption of Manufacturing Sector and Solutions-Perspective Based on Capital Deepening(Approval No.12YJC790034)
文摘This paper investigates the effect of local government intervention on capital deepening of manufacturing sector by using interprovincial panel data sets of 28 Chinese provinces,municipalities and autonomous regions between 1994 and 2011.Theoretical research indicates that as a transitional economy,China's local government intervention in corporate investment behaviors will cause excessive investment,thus bringing about a long-term and sustained tendency of capital deepening in manufacturing sector.Empirical test further discovers that in a certain range,the phenomenon of capital deepening in manufacturing sector is not an inevitable result endogenous to economic development and technology progress,and that investment behaviors of manufacturing sector are largely subject to the external institutional environment.Fiscal decentralization has indeed promoted capital deepening of manufacturing sector.Financial credit expansion and interventions in SOEs are major instruments for local governments to intervene in the capital deepening of manufacturing sector and such an influence is particularly significant for China's central,western and northeast regions.Therefore,clarifying government functions and improving local government performance review mechanism are of great significance to the healthy development of China's manufacturing sector.
基金This paper is supported by National Natural Science Foundation of China （No. 70373051）. The authors are grateful to Penny Prime for helpful discussion.
文摘The fiscal system is an important part of national economic management and deals with the division of financial responsibility and power, regulates and defines the fiscal activities among different levels of governments. The changes in economic system and economic structure decide the changes of fiscal function and fiscal structure, which results in the changes in intergovernmental distribution form and local government behavior. This paper takes a look at the stages of China＇s fiscal reform process and the impacts on local government behavior, and tries to find measures for perfecting the fiscal system reform to optimize local government behavior and guarantee a healthy national economy.
文摘识别非驾驶行为是提高驾驶安全性的重要手段之一。目前基于骨架序列和图像的融合识别方法具有计算量大和特征融合困难的问题。针对上述问题,本文提出一种基于多尺度骨架图和局部视觉上下文融合的驾驶员行为识别模型(skeleton-image based behavior recognition network,SIBBR-Net)。SIBBR-Net通过基于多尺度图的图卷积网络和基于局部视觉及注意力机制的卷积神经网络,充分提取运动和外观特征,较好地平衡了模型表征能力和计算量间的关系。基于手部运动的特征双向引导学习策略、自适应特征融合模块和静态特征空间上的辅助损失,使运动和外观特征间互相引导更新并实现自适应融合。最终在Drive&Act数据集进行算法测试,SIBBR-Net在动态标签和静态标签条件下的平均正确率分别为61.78%和80.42%,每秒浮点运算次数为25.92G,较最优方法降低了76.96%。
