Application of Data-Driven Prediction and Strategic Optimization in Olympic Medal Distribution
The Olympic medal list is an important indicator to assess the competitive strength of countries, and the prediction and analysis of the distribution of the number of medals provide a scientific basis for countries to formulate sports development strategies. This paper takes the 2024 Paris Olympic Games and the previous Olympic Games as the basic data, combines the historical medal data, the distribution of each Olympic Games and the special characteristics of the host country, constructs a number of mathematical models, explores the law of medal distribution, and proposes a strategy to improve the number of medals.The model in this paper is comprehensive, flexible and practical, which provides a new way of thinking for the analysis of medal distribution in the Olympic Games, and also provides data support for the sports development strategy of each country.
期刊:
International Journal of Advanced Science
2025
作者:
Zhaoyu Zhu,Jiajin Shen,Minghao Yu,Chengtian Liang
DOI:10.70731/c3q02875
Investigation and Suggestions on the Implementation Status of Credit System in High Schools of Zhejiang in China
This article investigates and studies the current situation of implementing the credit system in ordinary high schools in Zhejiang Province, and puts forward relevant suggestions. Firstly, analyze the background and objectives of implementing the credit system in ordinary high schools in Zhejiang Province. Then, through a questionnaire survey method, a sample survey was conducted on the current status of the implementation of the credit system in ordinary high schools in Zhejiang Province. The results showed that there are some problems in the management of the credit system in schools, such as unreasonable credit course settings, inaccurate recording and statistics of credits, etc. Further analysis reveals that students and parents have biases and utilitarian motives in their understanding and evaluation of the credit system.
作者:
Chengtian Liang,Enqi Xu
DOI:10.20944/preprints202407.1961.v1
Comparison of Using GeoGebra and Python to Discover the Motion of Device in a Well-Known Physical Experimental Instrument—Looking into Vibration-Damping Devices in the Scanning Tunneling Microscope
In this study, we focus on the vibration-damping devices within the renowned physical experimental apparatus—STM. Utilizing GeoGebra software and Python, we meticulously elucidate the principle by which the vibrations of the damper are damped in a magnetic field, thereby achieving the vibration-damping functionality of the entire system. This approach not only fosters a clear physical conceptualization but also ensures the acquisition of accurate and comprehensive knowledge. Furthermore, the inquiry demonstrates the process of problem clarification facilitated by the use of software tools and then we compare the power of the widlely programming language--Python and the GeoGebra.
作者:
Chengtian Liang,Enqi Xu
DOI:10.20944/preprints202408.0172.v1
