Political neutrality of civilians is an important feature of the civil service system in Western countries.British and American civilians' participation in politics shows the difference between absolute neutrality and relative neutrality,which in turn is reflected in the causes,the concrete methods of neutrality and the status quo.
National treatment is the principle observed by all WTO members,and the national treatment towards foreign investors is one of the most important parts.In order to attract foreign investment,it is very helpful to analyze the national treatment,correctly understand its connotation,and feasibly implement the national treatment towards foreign investors.
To improve the performance of the maximum power point tracking (MPPT) control of the fixed-pitch marine current power systems the principle of MPPT was explained according to hydraulic impeller output characteristics. In this paper, the MATLAB/Simulink simulation model of the FPMCP and its control system are built. The principle of operation and control strategies are analyzed. By using three-phase full-controlled PWM rectifier and by controlling the q axis component of generator stator current, the electromagnetic torque of motor can be adjusted. Thus the tip speed ratio of the impeller can be adjusted so that the fixed-pitch marine current power system can work at the maximum power point. Also, simulation results are provided to validate the theoretic analysis.
To contain the pandemic of coronavirus (COVID-19) in Mainland China, the authorities have put in place a series of measures, including quarantines, social distancing, and travel restrictions. While these strategies have effectively dealt with the critical situations of outbreaks, the combination of the pandemic and mobility controls has slowed China's economic growth, resulting in the first quarterly decline of Gross Domestic Product (GDP) since GDP began to be calculated, in 1992. To characterize the potential shrinkage of the domestic economy, from the perspective of mobility, we propose two new economic indicators: the New Venues Created (NVC) and the Volumes of Visits to Venue (V^3), as the complementary measures to domestic investments and consumption activities, using the data of Baidu Maps. The historical records of these two indicators demonstrated strong correlations with the past figures of Chinese GDP, while the status quo has dramatically changed this year, due to the pandemic. We hereby presented a quantitative analysis to project the impact of the pandemic on economies, using the recent trends of NVC and V^3. We found that the most affected sectors would be travel-dependent businesses, such as hotels, educational institutes, and public transportation, while the sectors that are mandatory to human life, such as workplaces, residential areas, restaurants, and shopping sites, have been recovering rapidly. Analysis at the provincial level showed that the self-sufficient and self-sustainable economic regions, with internal supplies, production, and consumption, have recovered faster than those regions relying on global supply chains.
Abstract In this article, we use the weak Galerkin (WG) finite element method to study a class of time fractional generalized Burgers' equation. The existence of numerical solutions and the stability of fully discrete scheme are proved. Meanwhile, by applying the energy method, an optimal order error estimate in discrete L 2 norm is established. Numerical experiments are presented to validate the theoretical analysis.
This paper investigates the low-rank tensor completion problem, which is about recovering a tensor from partially observed entries. We consider this problem in the tensor train format and extend the preconditioned metric from the matrix case to the tensor case. The first-order and second-order quotient geometry of the manifold of fixed tensor train rank tensors under this metric is studied in detail. Algorithms, including Riemannian gradient descent, Riemannian conjugate gradient, and Riemannian Gauss-Newton, have been proposed for the tensor completion problem based on the quotient geometry. It has also been shown that the Riemannian Gauss-Newton method on the quotient geometry is equivalent to the Riemannian Gauss-Newton method on the embedded geometry with a specific retraction. Empirical evaluations on random instances as well as on function-related tensors show that the proposed algorithms are competitive with other existing algorithms in terms of recovery ability, convergence performance, and reconstruction quality.
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