Student dropout prediction is a critical challenge in higher education that requires accurate identification of at-risk students to enable timely interventions. This study presents EASE-Predict (Ensemble-SHAP Explainable Student Prediction), a comprehensive ensemble learning framework with SHAP-based explainable AI to predict student academic outcomes. We evaluated five machine learning algorithms (Random Forest, Gradient Boosting, Extra Trees, Logistic Regression, and SVM) and developed voting and stacking ensemble models on a dataset of 4,424 students with 36 features encompassing academic performance, socioeconomic factors, and demographic information.EASE-Predict achieved superior perfo... More >

With the wide application and rapid development of the Internet, online virtual property has become an important form of asset, and its protection has attracted more and more attention. At present, there are many deficiencies in the legal protection of online virtual property in China, whether it is legislative, judicial or administrative supervision, and it needs to be improved urgently. This paper first discusses the legal attributes of online virtual property, and analyzes the significance of legal protection of online virtual property based on survey data. Subsequently, the main problems in legal protection in this field in China were analyzed, and some suggestions for improvement were p... More >

The global sustainability paradigm, catalyzed by environmental degradation since the 1960s, has positioned green consumption as a critical strategy to reconcile economic growth with ecological preservation. While international scholarship extensively explores this field, China's unique socioeconomic trajectory---marked by rapid industrialization, centralized governance, and the ``dual carbon'' (carbon peak and neutrality) targets---necessitates a dedicated investigation into its indigenous knowledge system. Leveraging CiteSpace, this scientometric study systematically analyzes 2,793 core journal articles from the Chinese National Knowledge Infrastructure (CNKI, 1994--2024) to map the intelle... More >

Cloud farming, a novel e-commerce model enabled by technologies such as the Internet of Things and big data, is reshaping the landscape of rural agricultural development. By allowing urban consumers to remotely participate in livestock farming through digital platforms, cloud farming establishes a direct connection between producers and consumers, enhances land and labor value in rural areas, and stimulates financial investment. This editorial explores the technical foundations, advantages, and potential risks of cloud farming, including concerns over market uncertainty, financial misconduct, environmental impact, and data security. It concludes that while cloud farming presents considerable... More >

Based on sentiment analysis technology, this paper analyzes the feedback of foreign tourists visiting Xi’an. The study shows that about 85 percent of tourists have a positive and satisfactory attitude toward Xi’an tourism, and about 8.6 percent of tourists have a negative attitude. The critical comments or suggestions of foreign tourists are reflected in the following aspects: unsavoury food, poor location of hotel, improper itinerary, taking more time to walking, and not good experience in scenic spots. In response to the criticism and suggestions of foreign tourists, some strategies are proposed: at the micro level, activating existing resources and providing quality services; at the m... More >

Investigating the high-quality development of rural home-stays is beneficial for local employment and economic growth, promotes urban-rural exchange, aids in the perfection of the tourism industry chain, and enhances the overall competitiveness of tourism. This paper takes 50 operators of rural home-stays in Conghua District as interview subjects, and through in-depth interviews, analyzes the current development status and existing problems of rural home-stays. It proposes feasible suggestions from four levels: home-stay operators, government, industry associations, and universities, providing strong support for the high-quality development of home-stays in Guangdong Province. More >

In recent years, the educational attainment of the Chinese population has significantly improved, while fertility intention has shown a gradual decline. To explore whether there is a significant relationship between these two factors, this paper utilizes the publicly available data from the Chinese General Social Survey (CGSS) spanning ten years from 2012 to 2021. An ordered logistic model is employed for empirical analysis. The study reveals that, under the condition of other factors remaining constant, groups with different educational attainments exhibit varying fertility intentions. Furthermore, the research finds a negative correlation between the educational attainment and fertility in... More >

This article focuses on the problem of imbalanced input-output in agricultural science and technology and analyzes its current situation, covering input, output, and imbalance manifestations. Elaborate on the constraining effects of this imbalance on rural economic development in three aspects: agricultural production, farmers' income, and rural social stability; Exploring the causes from multiple dimensions of input, output, and other factors. And targeted measures such as optimizing investment mechanisms, enhancing conversion capabilities, and reducing risks are proposed, aiming to provide reference for improving the input-output situation of agricultural science and technology and promoti... More >