Abstract This article explores the analysis of online psychological guidance and examination in health education based on the background of big data. Firstly, the article provides an overview of big data technology’s concept, characteristics, and basic principles, pointing out its widespread application in various fields, especially its potential in health education online psychological guidance and inspection. Then, the article provides a... This article explores the analysis of online psychological guidance and examination in health education based on the background of big data. Firstly, the article provides an overview of big data technology’s concept, characteristics, and basic principles, pointing out its widespread application in various fields, especially its potential in health education online psychological guidance and inspection. Then, the article provides a detailed introduction to constructing a health education network psychological guidance and inspection system based on big data, including data collection, data preprocessing, model construction, and model evaluation. Subsequently, by elaborating on the application examples of the system, the superiority of the system in improving inspection efficiency and accuracy was demonstrated. Finally, the article summarizes the advantages and disadvantages of online health education psychological guidance and examination systems based on big data, and it looks forward to future development. Read More Read Less

Abstract With the increasingly prominent global climate change and resource environment issues, developing a low-carbon economy has become a global consensus. As an important link connecting urban and rural markets, developing agricultural logistics’ low-carbon model is significant for promoting rural economic development, optimizing urban and rural industrial structure, and reducing carbon emissions. This article will analyze the low-carbon model-driven layout of... With the increasingly prominent global climate change and resource environment issues, developing a low-carbon economy has become a global consensus. As an important link connecting urban and rural markets, developing agricultural logistics’ low-carbon model is significant for promoting rural economic development, optimizing urban and rural industrial structure, and reducing carbon emissions. This article will analyze the low-carbon model-driven layout of agricultural logistics in urban and rural markets and explore its development status, problems, and future development trends. Agricultural logistics refers to the comprehensive management of various aspects of agricultural production, including material flow, information flow, and capital flow. Under the low-carbon model-driven layout of urban and rural markets, agricultural logistics not only undertakes the transportation task of agricultural supplies and products but also involves important links such as the transmission of agricultural information and the promotion of agricultural technology. Read More Read Less

Abstract This research explores artificial neural networks, focusing on their application in a digital tourist information system. The investigation starts by examining the basic principles that govern neural networks, their differences from conventional programming methods, and their advantages in such systems. It also looks into the work of OpenAI and their creation of ChatGPT, showcasing the wide range of applications for... This research explores artificial neural networks, focusing on their application in a digital tourist information system. The investigation starts by examining the basic principles that govern neural networks, their differences from conventional programming methods, and their advantages in such systems. It also looks into the work of OpenAI and their creation of ChatGPT, showcasing the wide range of applications for neural networks in practical situations. The research evaluates how neural networks compare to static programming in terms of their capabilities, and how these methods affect the efficiency of system creation and the variety of possible settings. Additionally, the research covers the use of neural networks on the Node.js platform, highlighting the practical benefits of this method through specific case studies of handling unexpected questions that cannot be easily programmed for. The study also reviews current tourist information systems and the creation of a prototype system. Furthermore, it includes a comparison of the outcomes from various experiments, supporting neural networks benefit’s in surpassing traditional static programming’s limitations in improving digital tourist services. Read More Read Less