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Currently, China is in the period of rapid urbanization and gradual improvement of the rail transportation network. With the increasing population in towns, the construction of many cities has become blind and disorderly to meet people’s housing needs, resulting in traffic congestion, uneven distribution of resources, and other “big city diseases” more serious. From the urban construction experience of developed countries, the mode that urban rail transportation and urban development complement each other and develop together, that is, the regional-wide TOD construction, is an effective way to promote sustainable urban development. This paper focuses on how to select the stations of the rail transit for priority development of TOD projects (TOD development advance sites) within the whole area of the town. When selecting stations, the investment potential and regional driving ability of each station are taken into consideration to make a comprehensive evaluation of each rail transit station, so that the TOD development advance sites can drive the gradual development of its surrounding areas and finally form an urban renewal pattern of interoperability and integrated development of the whole area. With this method, we can effectively solve the current situation of blind and disorderly construction of TOD and various problems in urban development in China, and help to build efficient, green, and livable cities in various places.

The current network security situation is becoming more and more severe. In order to improve the accuracy of network security situation prediction, a network security situation prediction method based on crowd search algorithm optimized BP neural network is proposed. This algorithm uses the four characteristics of egoism, altruism, pre-action and uncertain reasoning unique to the crowd search algorithm to determine the search strategy, finds the best fitness individual, obtains the optimal weights and thresholds, and then performs random initialization of the BP neural network The threshold and weight are assigned, and the predicted value is obtained after neural network training. Finally, it is compared with the predicted value obtained by the other two optimization algorithms. Experiments show that the algorithm used in network security situation prediction has higher accuracy, smaller errors, and better stability.

The Critical Period Hypothesis is still controversial recently, so it cannot be said to be absolutely confirmed to be false. It is more important to realize the significance of application. Although the exact properties of this phenomenon remain unclear and the literature is divided, more and more Chinese mothers choose to teach English or other languages as a second language to their children from a very early age (0-3 years old). This paper discusses whether these attempts can help children achieve the future goals set by their parents through literature review. The results attempt to support the existence of the Critical Period Hypothesis, because from the end of adolescence, the ability to learn grammar declines sharply, and the ability to reach native-like proficiency depends largely on the age at which learning begins.

In this paper, the flow area of the generator and the solid area of the generator are taken as the research object. According to the theory of fluid mechanics and heat transfer, the CFD software Fluent is selected as the calculation tool, and the direct coupling simulation analysis method is adopted to determine the boundary conditions and carry out the ship power generation. Numerical simulation of fluid-solid coupling. The 1/8 circumference of the motor is intercepted as a simulation model. Firstly, the simulation is carried out for the fluid field. According to the simulation results, the wind resistance of each air path in the motor and the total pressure drop of the motor are adjusted, and then the coupling simulation calculation of the fluid field and the temperature field is performed. The calculation results of the temperature field are evaluated.