The behavior as t→∞ of solutions of the linear system of elastic equations defined on anon-star-tshaped exterior domains in Rn (n≥3) is discussed.It has showed that the local energydecays with arate of t-1+H (0≤H...The behavior as t→∞ of solutions of the linear system of elastic equations defined on anon-star-tshaped exterior domains in Rn (n≥3) is discussed.It has showed that the local energydecays with arate of t-1+H (0≤H≤1),nonuniformly with respect to the geometrical propertiesof the obstacle.and when n is odd the local energy decays exponentially.For the classical elasticwave,when n=3,the behavior of the solution of the nonhomogeneous system with a right sideterm periodical with respect to time t is discussed.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
Recently, Massive Open Online Courses(MOOCs) have become a major online learning methodology for millions of people worldwide. However, the dropout rates from several current MOOCs are high. Usually, dropout predictio...Recently, Massive Open Online Courses(MOOCs) have become a major online learning methodology for millions of people worldwide. However, the dropout rates from several current MOOCs are high. Usually, dropout prediction aims to predict whether a learner will exhibit learning behaviors during several consecutive days in the future. Therefore, the information related to the learning behaviors of a learner in several consecutive days should be considered. After in-depth analysis of the learning behavior patterns of the MOOC learners, this study reports that learners often exhibit similar learning behaviors on several consecutive days, i.e., the learning status of a learner for the subsequent day is likely to be similar to that for the previous day. Based on this characteristic of MOOC learning,this study proposes a new simple feature matrix for keeping information related to the local correlation of learning behaviors and a new Convolutional Neural Network(CNN) model for predicting the dropout. Extensive experimental validations illustrate that the local correlation of learning behaviors should not be neglected. The proposed CNN model considers this characteristic and improves the dropout prediction accuracy. Furthermore, the proposed model can be used to predict dropout temporally and early when sufficient data are collected.展开更多
In this paper, we consider the nonconforming finite element approximations of fourth order elliptic perturbation problems in two dimensions. We present an a posteriori error estimator under certain conditions, and giv...In this paper, we consider the nonconforming finite element approximations of fourth order elliptic perturbation problems in two dimensions. We present an a posteriori error estimator under certain conditions, and give an h-version adaptive algorithm based on the error estimation. The local behavior of the estimator is analyzed as well. This estimator works for several nonconforming methods, such as the modified Morley method and the modified Zienkiewicz method, and under some assumptions, it is an optimal one. Numerical examples are reported, with a linear stationary Cahn-HiUiard-type equation as a model problem.展开更多
文摘The behavior as t→∞ of solutions of the linear system of elastic equations defined on anon-star-tshaped exterior domains in Rn (n≥3) is discussed.It has showed that the local energydecays with arate of t-1+H (0≤H≤1),nonuniformly with respect to the geometrical propertiesof the obstacle.and when n is odd the local energy decays exponentially.For the classical elasticwave,when n=3,the behavior of the solution of the nonhomogeneous system with a right sideterm periodical with respect to time t is discussed.
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partially supported by the National Natural Science Foundation of China (Nos. 61866007, 61363029, 61662014, 61763007, and U1811264)the Natural Science Foundation of Guangxi District (No. 2018GXNSFDA138006)+2 种基金Guangxi Key Laboratory of Trusted Software (No. KX201721)Humanities and Social Sciences Research Projects of the Ministry of Education (No. 17JDGC022)Chongqing Higher Education Reform Project (No. 183137)
文摘Recently, Massive Open Online Courses(MOOCs) have become a major online learning methodology for millions of people worldwide. However, the dropout rates from several current MOOCs are high. Usually, dropout prediction aims to predict whether a learner will exhibit learning behaviors during several consecutive days in the future. Therefore, the information related to the learning behaviors of a learner in several consecutive days should be considered. After in-depth analysis of the learning behavior patterns of the MOOC learners, this study reports that learners often exhibit similar learning behaviors on several consecutive days, i.e., the learning status of a learner for the subsequent day is likely to be similar to that for the previous day. Based on this characteristic of MOOC learning,this study proposes a new simple feature matrix for keeping information related to the local correlation of learning behaviors and a new Convolutional Neural Network(CNN) model for predicting the dropout. Extensive experimental validations illustrate that the local correlation of learning behaviors should not be neglected. The proposed CNN model considers this characteristic and improves the dropout prediction accuracy. Furthermore, the proposed model can be used to predict dropout temporally and early when sufficient data are collected.
基金supported by the National Natural Science Foundation of China (10571006)
文摘In this paper, we consider the nonconforming finite element approximations of fourth order elliptic perturbation problems in two dimensions. We present an a posteriori error estimator under certain conditions, and give an h-version adaptive algorithm based on the error estimation. The local behavior of the estimator is analyzed as well. This estimator works for several nonconforming methods, such as the modified Morley method and the modified Zienkiewicz method, and under some assumptions, it is an optimal one. Numerical examples are reported, with a linear stationary Cahn-HiUiard-type equation as a model problem.