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This research studied the factors accounting for Chinese citizens' behavioral adoption of mobile government services via social media platforms. Social media innovations have empowered governments to better interact and stay in touch with citizens, and thus understanding citizens' adoption of government services via social media will enable policymakers to leverage social media to better meet the service requirements of citizens. Drawing upon the Chinese mobile-government context, this research framework was made on the Technology Acceptance Model (TAM) while the analysis of data was completed with Smart PLS by the use of the SEM procedure. The analysis has surprisingly discovered that perceived usefulness (PU) does not predict the adoption of mobile government services through social media. However, perceived information quality was significant in determining both the PU and adoption behavior. It was also shown that factors such as perceived security, perceived mobility, trendiness, and interactivity were all significant determinants of both the perceived usefulness and adoption intention respectively. The research and managerial consequences of the study outcomes on m-government development and diffusion are thoroughly considered. [ABSTRACT FROM AUTHOR]

This study investigated the behavioral adoption of electronic commerce (EC) among small and medium enterprises (SMEs) in China. This was undertaken by integrating the Technological, Organizational, and Environmental (TOE) framework into the Unified Theory of Acceptance and Use of Technology (UTAUT). The data generated from 349 SMEs were analyzed with SPSS and SmartPLs 3.0 via the utilization of the structural equation modeling (SEM) procedure. The results reveal that while the environmental factor was a positive predictor of the performance expectancy of EC among SMEs, it does not, however, encourage the adoption of EC. Again, while the knowledge factor was not significant in driving the performance expectancy of EC, it was a significant determinant of the adoption of EC among SMEs. Also, the study found that organizational factor was a positive predictor of both performance expectancy and the adoption of EC by SMEs. The technological factor was not a significant predictor of the intention to use EC but was significant in determining the performance expectancy of EC. Finally, the study demonstrated that the performance expectancy of EC was a significant predictor of the behavioral adoption of EC. The managerial and research implications of these findings are deliberated. [ABSTRACT FROM AUTHOR]

During the development of ancient Chinese history, people in different eras and cultural backgrounds created body cultures displaying various forms of physique techniques. Because of its graphical form and various expressions, Han dynastic paintings accurately recorded the different types of physique techniques of people in the Han Dynasty and became an important reference for academics to study the physical movement culture in sports history of the Han dynasty. This paper finds that in the sorted Han dynastic paintings represented by stone reliefs, brick reliefs, and tomb murals, the physique techniques presented by them are mainly divided into three types: handstand physique technique, Han dynastic jiu-jitsu physique technique, and continuous handstand physique technique, and each type has different forms of technique that reflect its own characteristics. Through the interpretation and analysis of different types of physique technique of Han dynastic painting images, we can have a clearer understanding on the meaning of body cultural of the Han dynasty. The unique expression of people's view on body culture of the Han dynasty reflected in the Han dynastic paintings is actually the exquisite presentation of the Han dynasty's sports techniques, the oriental discipline of body aesthetics, and the unique expression of the concept of entertainment. At the same time, it is also a view of cognition of the body culture reflected through the display of physique techniques by people of the Han dynasty. [ABSTRACT FROM AUTHOR]

The fast and accurate 3-D magnetotelluric (MT) forward modelling is core engine of the interpretation and inversion of MT data. In this study, we develop an improved extrapolation cascadic multigrid method (EXCMG) to solve the large sparse complex linear system arising from the finite-element (FE) discretization on non-uniform orthogonal grids of the Maxwell's equations using potentials. First, the vector Helmholtz equation and the scalar auxiliary equation are derived from the Maxwell's equations using Coulomb-gauged potentials. The weighted residual method is adopted to discretize the weak formulation and assemble the FE equation. Secondly, carefully choosing the preconditioned complex stable bi-conjugate gradient method (BiCGStab) as multigrid smoother, we develop an improved EXCMG method on non-uniform grids to solve the resulting large sparse complex non-Hermitian linear systems. Finally, several examples including three standard testing models (COMMEMI3D-1, COMMEMI3D-2 and DTM1.0) and a topographic model are used to validate the accuracy and efficiency of the proposed multigrid solver. Numerical results show that the proposed EXCMG algorithm greatly improves the efficiency of 3-D MT forward modelling, is more efficient than some existing solvers, such as Pardiso, incomplete LU factorization preconditioned biconjugate gradients stabilized method (ILU-BiCGStab) and flexible generalized minimum residual method with auxiliary space Maxwell preconditioner (FGMRES-AMS), and capable to simulate large-scale problems with more than 100 million unknowns. [ABSTRACT FROM AUTHOR]