Issue 2 (July)

With the popularity of social media, individuals can receive various messages anytime and anywhere, including many rumors.The spread of rumors has a certain impact on individuals and society, which has become a major issue that the country attaches great importance to.This study aims to explore the influencing factors of college students' rumor sharing behavior based on different information sources and the fear psychology generated by college students when facing major public health emergencies.It is found that college students have different sharing behaviors for different types of rumors and information from different sources.Negative emotions such as fear and anxiety can promote their dissemination of rumors.This dissemination behavior is a psychological response, especially influenced by health self-efficacy.Given the findings, the discrimination ability of college students as a student group needs to be strengthened.Society and universities should strengthen educational guidance, provide accurate information, and the country should formulate complete and effective strategies for various online platforms to deal with various rumors.

The establishment of the right of residence in the Civil Code aims to meet the living and residential needs of the right holders, ensuring housing security for specific vulnerable groups, including the elderly, and maintaining social stability. However, in judicial practice, there are still some challenges concerning the establishment methods, rights and obligations, grounds for termination, and applicable conditions of the right of residence. These issues prevent the full protection of elderly individuals' residential rights and the realization of the legislative intent. To address these problems, it is necessary to further clarify the conditions for establishing the right of residence, balance legal provisions with public order and morality, uphold a unified standard in judicial adjudication, and clearly define the boundaries of the rights and obligations of the right holders to provide robust housing security for the elderly.

In the era of big data, the scale and complexity of spatial data are continuously increasing, making the effective partitioning and classification of spatial vector point sets a critical and challenging problem. This study proposes a spatial vector point set partitioning model based on deep learning, which leverages techniques such as Convolutional Neural Networks (CNN) and PointNet. Through an end-to-end learning process, the model automatically extracts the intrinsic structures and patterns of the data. The method employs 3D-CNN and PointNet models to process point cloud data, achieving efficient and accurate partitioning results. The findings indicate that the model demonstrates stronger robustness and higher accuracy when handling large-scale, high-dimensional data, with a classification accuracy reaching 100%. In conclusion, the spatial vector point set partitioning model based on deep learning holds significant theoretical and practical value, offering more precise and reliable technical support for related fields.

Telecom fraud Financial fraud is committed by telephone, Internet and SMS, and it is important to identify and prevent these activities. In this paper, a telecom fraud prediction model is established based on the collected telecom fraud data set. Firstly, the environment in which fraud occurs is analyzed through data visualization technology, and then the influence of bank card usage on fraud probability is discussed by using logistic regression model, and it is found that there is a significant correlation between improper use of bank card and fraud risk. Then, the relationship between transaction pattern and fraud is revealed through the correlation analysis of variables, and the complex relationship between different transaction types and fraud probability is deeply discussed. Finally, convolutional neural network and short-duration memory network model combined with Bahdanau attention mechanism were used to improve the prediction accuracy, and the accuracy of the model was up to 99%. This study not only improves the prediction ability of the model, but also shows the extensive application potential of the model, which provides important technical support and theoretical basis for the identification and prevention of telecom fraud.

In recent years, alarming temperature reports have underscored the reality of global warming. This research utilizes ARIMA and LSTM models to analyze historical global temperatures, predict future trends, and identify key influencing factors. Data collected up to 2021, supplemented by interpolation, facilitated the analysis of the temperature anomaly in March 2022. Predictions using ARIMA and LSTM models suggest that the global average temperature will reach 20 degrees Celsius by 2046 and 2065, respectively, with LSTM demonstrating higher accuracy based on RMSE analysis. The study also investigates the impacts of volcanic eruptions, forest fires, and COVID-19 on temperature. Finally, we compiled the research findings and recommendations into relevant suggestions, offering some strategies to address global warming based on the comprehensive analysis.

In today's globalized world, cultural exchange and dissemination have become vital links connecting people from different countries and regions. The dragon and lion dance culture, a gem of traditional Chinese culture, has showcased its powerful vitality on the international stage with its unique artistic charm and profound cultural heritage. However, how to achieve its localization in foreign countries is a subject that requires in-depth research and discussion. The Confucius Institute at Veliko Tarnovo University in Bulgaria, as a crucial platform for cultural exchange between China and Bulgaria, is committed to promoting Chinese language teaching and disseminating Chinese culture. It has successfully introduced dragon and lion dance activities to Bulgaria and facilitated their dissemination and popularization through various cultural events, providing new insights into international cultural dissemination. This study uses this Confucius Institute as a case to explore the issues of international dissemination and localization of dragon and lion dance culture, revealing the underlying cultural logic and dissemination mechanisms.