No abstract

With the acceleration of social modernization, the level of public management has also been significantly improved compared with previous times. People are more and more aware that a harmonious public life is the basis for realizing a good personal life. As an important guarantee for a harmonious public life, public management occupies an extremely important position. However, the great changes in the economy and society have brought forth new problems in modern public management, and the tasks and burdens of public management have become heavier and heavier, which has had a huge impact on the effectiveness of social governance. On the basis of studying the factors affecting the development of public management and the problems of management, this paper integrates the new situation of reliability mathematics application, and explores and solves the problems of public management. In the experiment, the effectiveness of the method proposed in this paper is tested from two aspects of management analysis and management effect, and the feasibility of this method is verified by comparing with the traditional management method. The final experimental data show that the innovation degree and coordination degree of management work under the traditional management method are 16.6% and 58.4%, respectively. The innovation degree and coordination degree of management work under the method of this paper reach 36.1% and 78.8%, respectively. It shows that the analysis and realization of the new situation of reliability mathematics application in public management have certain operability.

No abstract

In this paper, combined with physiological anatomy knowledge, the complete finite element model of L3–L4 lumbosacral segment of human lumbar was established by using the 3D graphic of human spine L3–L4 segment, which is obtained by image diagnosis technique (CT scan). This model includes the sections of the bones, the intervertebral disc and the anterior ligament, the posterior ligament, the ligamentum flavum, the fibrous ring and other major spine attached soft tissue. Then the finite element model meshing and the material properties of the corresponding part setting were done on the constructed model, and different loads and boundary conditions were imposed to simulate the displacement and stress and strain nephogram of the normal model and intervertebral disc herniation, senile degeneration and other models in different movement states. And the effectiveness of model data is verified by analyzing its biomechanical properties. The biomechanical properties of the spine obtained by the finite element method can be used to provide biomechanical basis for the diagnosis and treatment of intervertebral disc herniation and degeneration.

The size of funds managed by all hedge funds in the world has exceeded 2.7 trillion US dollars. The funds of various funds and asset management products managed by quantitative investment account for about 30% of the total global trading volume, and in various large stock exchanges around the world, various quantitative investment methods contribute nearly 50% volume of transactions. The construction of a quantitative trading strategy requires first statistical analysis of the information in the securities and futures market and then backtesting the quantitative model with historical data. In view of the practical application of quantitative trading, this study designs a quantitative trading system based on the data mining method. The main development tool used is the numerical computing software MATLAB, and four cores are designed: quantitative stock selection, strategy backtesting, time-series analysis, and portfolio management. The system supports modules for simple trading decisions. It abandons the traditional method of predicting the absolute value of the future price of stock index futures and adopts a new method of predicting the future price trend of stock index futures. This method avoids the huge impact of the accuracy of the absolute value of the prediction on the final investment in the traditional method and also reduces the high dependence of investors on the accuracy of the absolute value. This study also introduces the support-vector machine algorithm in data mining and the quantitative trading system model in data mining. The accuracy of investment transactions in the experiment is also simulated by using the support-vector machine.