This article aims to explore the training model of preschool physical education teachers based on the theory of "space, capital, and habits". Preschool physical education plays an important role in the development of children's physical fitness and cognitive abilities. This article first introduces the theory of "space, capital, and habits", including its definition and core concepts, as well as its application value in teacher training. Subsequently, a training model for preschool physical education teachers based on this theory was proposed, which includes three elements: space, capital, and habits. In terms of space, it is emphasized to create an environment and place conducive to the professional development of preschool physical education teachers, such as the construction of training institutions and internship bases, and the support of teaching environment and resources. In terms of capital, emphasis is placed on cultivating the professional knowledge and abilities of preschool physical education teachers, including curriculum design and teaching methods, teacher team construction, and professional development mechanisms. In terms of habits, emphasis is placed on cultivating the professional literacy and educational attitude of preschool physical education teachers, including practical links and social participation, evaluation and feedback mechanisms. This training model aims to improve the quality and effectiveness of preschool physical education teacher training, and provide theoretical guidance and practical suggestions for preschool physical education teacher training.

PPGIS platforms have been widely used to map social actors since the emergence of open access webGIS platforms. This identification of citizen initiatives is based on the physical location, but is rarely combined with social networking. This research seeks to close that gap by using the platIC web-based mapping tool for citizen initiatives, together with their interrelationships. Therefore, a methodical procedure has been defined to construct a geolocalised graph by identifying and categorising linked nodes. Method steps have been tested in three case studies in the Malaga region: Malaga city, Benalmadena, and Valle del Genal. They were selected for a comparative analysis in three different urban and socio-economic scenarios, namely: a tourist destination with a high density of Spanish population and floating city users; a sun-and-beach destination with a significant presence of resident foreign population; and a rural area suffering from depopulation, respectively. Mapping reveals a higher density of citizen initiatives in central urban areas and with social conflicts. Social graphs show a wider interconnection of nodes in rural areas, but isolated nodes are spread more widely there. Monitoring active citizen initiatives could serve as a basis for local administration to involve the citizenry in the management of current issues in the urban and rural context. Future research may promote new plugins to improve participatory process through webGIS platforms.

Purpose: There have been many studies on corporate social responsibility. Still, research on the dual relationship showing the impact of management control on corporate social responsibility and business performance has not been exciting researchers. The article also identifies and measures the elements of management control that affect compliance with corporate social responsibility and business performance. At the same time, the paper also analyzes the influence of compliance with corporate social responsibility on business performance. From the research results, listed companies will see the importance of designing management control and complying with corporate social responsibility to maximize the business’s profits. Findings: The article demonstrates the practicality of institutional theory in the relationship between management control, corporate social responsibility, and business performance. Institutional theory influences the relationship between management control, CSR, and business performance by highlighting the role of external institutional pressures, legitimacy, and conformity to societal norms. Companies that strategically integrate institutional expectations into their management control systems can enhance their CSR efforts, improve their reputation, and contribute to better business performance. Methodology: We collect data on 195 manufacturing enterprises listed on the Vietnam stock market in 6 sectors. This study’s main data analysis method is the structural equation modeling method (SEM). The article used AMOS software to evaluate and measure the influence of each factor. Practical implications: The article has analyzed five aspects of management control to corporate social responsibility and business performance: Size of the Board of Directors (BOD), percentage of independent members in the BOD, and concurrence. CEO and Chairman of the Board of Directors, state ownership ratio and foreign shareholder ownership rate. The results show that a company with a CEO who is not the Chairman of the BOD will have a higher level of CSR compliance than a company with a CEO who is also the Chairman of the BOD. The larger the Board size, the higher the level of CSR, but This has not been verified for the company’s business performance. The higher the foreign ownership ratio, the better the CSR compliance; however, this has the opposite direction for the state ownership rate. The higher the percentage of independent members on the Board of Directors, the lower the level of CSR compliance. In terms of impact on business performance in the enterprise: The higher the company’s compliance with corporate social responsibility, the better it’s business performance. A company with a CEO who holds the position of BOD will have lower business performance than companies with a CEO who does not hold the position of Chairman of the Board of Directors. Companies with a high percentage of state ownership will have lower business performance. The higher the percentage of independent members on the Board of Directors, the lower the business performance. Originality: This attests that the research paper I submitted is the result of my original and independent work. I have duly acknowledged all sources from which the ideas and quotations have been obtained. The project does not contain any plagiarism and has not been sent elsewhere for publication.

The telecommunications services market faces essential challenges in an increasingly flexible and customer-adaptable environment. Research has highlighted that the monopolization of the spectrum by one operator reduces competition and negatively impacts users and the general dynamics of the sector. This article aims to present a proposal to predict the number of users, the level of traffic, and the operators’ income in the telecommunications market using artificial intelligence. Deep Learning (DL) is implemented through a Long-Short Term Memory (LSTM) as a prediction technique. The database used corresponds to the users, revenues, and traffic of 15 network operators obtained from the Communications Regulation Commission of the Republic of Colombia. The ability of LSTMs to handle temporal sequences, long-term dependencies, adaptability to changes, and complex data management makes them an excellent strategy for predicting and forecasting the telecom market. Various works involve LSTM and telecommunications. However, many questions remain in prediction. Various strategies can be proposed, and continued research should focus on providing cognitive engines to address further challenges. MATLAB is used for the design and subsequent implementation. The low Root Mean Squared Error (RMSE) values and the acceptable levels of Mean Absolute Percentage Error (MAPE), especially in an environment characterized by high variability in the number of users, support the conclusion that the implemented model exhibits excellent performance in terms of precision in the prediction process in both open-loop and closed-loop.

Combining physical, social, and economic elements, urban planning plays a critical role in creating sustainable, resilient, and livable urban environments. It encompasses the regulation of land use, infrastructure, transportation systems, and environmental resources, with a focus on sustainable urban design and green infrastructure. While progress has been made, there are still areas that have not been fully explored, including the integration of renewable energy sources and the development of urban environments that are resilient to environmental stresses. This study aims to analyze the direction and scope of urban planning research and to identify research gaps in this area. The method used is bibliometrics by analyzing data obtained from the Scopus database in January 2024. The results of this study showed that Yufeng Zhang, a professor at Wuhan University, China, was the most productive author in producing publications, namely 22 documents. In addition, the article produced by Qianqian Zhou is also influential in this research topic because it gets a number of citations, as high as 204 citations. Additionally, the results indicate the current focus of research on sustainability, adaptation to climate change, and technology in urban planning. These findings can guide future research, direct policy, and ensure an interdisciplinary approach to modern urban and regional challenges.