Ecological beauty not only means the beauty of nature, but also refers to the balance between living things on earth. Ecological aesthetic education takes the holistic ecological view as the philosophical basis, advocating appreciating nature and caring about life with an aesthetic attitude, realizing the coexistence of man and nature, and promoting the harmonious development of man and society. In view of this, the current school ecological aesthetic education should deepen the integration of large and small ecological aesthetic education discipline system construction, improve the comprehensive quality of ecological aesthetic education teachers, combine social aesthetic education to enrich ecological aesthetic education extracurricular practice, and train new people for the construction of Chinese modern ecological civilization.

This paper explores the role of the agile approach in managing interorganizational relationships in innovation networks. Design/methodology/approach. Relevant literature related to agile team management, network theory, innovation theory and knowledge management was studied. Based on collaboration between different approaches, a conceptual model for agile management of an innovation network was generated. Conceptual modeling was supplemented with graphical notation (diagram) of the main elements of the model. At the stage of testing the conceptual model, the action research method was applied, which provides an opportunity for organizational innovations to be carried out with the participation of researchers. The object of the pilot implementation of the conceptual model is the Bulgarian division of a global non-governmental organization (NGO) dedicated to community service. The organizational innovation applied in the testing of the model is related to improving the communication environment between individual teams (clubs), which are autonomous, but in the conditions of a network can generate projects for common, large-scale initiatives for community service. Findings. The pilot testing of the model shows its applicability, insofar as a traditionally managed structure switches to an agile communication model, in which horizontal connections become more frequent and knowledge between individual participants is transferred more efficiently. The possibility of decentralized decision-making creates the potential for generating numerous new and larger-scale initiatives for the benefit of the final beneficiaries. The participants in the network have also outlined some shortcomings, such as the need for better preliminary preparation when introducing organizational innovations in order to adequately explain and accept them.

Since the Reform and Opening up, GDP of the cities on eastern bank of the Pearl River Estuary in Guangdong Province were higher than the eastern bank cities. Therefore, this article aims to modify the urban gravity model combines it with the entropy weight method to calculate urban quality and applies it to measure the degree of connectivity between cities over the past decades. The research aims to explore whether cities with higher economic output have a greater attraction for surrounding cities, and whether the eastern bank cities can also promote the development of the west. Through detailed data collection and analysis, this essay reveals the dynamic changes of the gravity among cities and its influence factors such as economic, transportation and urban development. The research results indicate that the strongest gravitational force between cities on the east and west banks is between Dongguan and Zhongshan, rather than between Shenzhen and cities on the west bank. This demonstrates that the connection between cities on the east and west banks is primarily constrained by geographical factors, and the geographical location of a city influences on surrounding cities significantly. In particular, Dongguan and Zhongshan play a key role in connecting the eastern and western bank of the Pearl River Estuary, rather than Shenzhen, which is traditionally considered to have the highest economic aggregate. In addition, the study also found that the COVID-19 epidemic has had a significant impact on inter-city communication, resulting in a decline in inter-city gravity in recent years.

The aim of the research is to prove that nowadays the role of higher education, its impact on “territorial capital” and the factors of their competitiveness measurement have changed. Competitiveness should no longer be measured only in terms of rankings between higher education institutions, but also in terms of their role in territorial capital. Examining the extension of a competitiveness measurement model developed for small and medium-sized enterprises to the field of higher education can be exciting because the competitive situation between higher education institutions is strengthening, and its aspects are not limited to winning tender funds and the competition for students. The subject of this study is the Central European higher education in general and the Hungarian higher education specifically. Higher education as it appears in regional strategic documents, and the regional, third mission role of higher education institutions appearing in their strategic documents. In terms of methodology: the first part of the paper is based on document and content analysis. In the second part of the paper, institutional characteristics that may influence competitiveness are identified in the case of a Hungarian higher education institution with SME characteristics. The research concludes that the impact on territorial capital, together with the traditional characteristics of higher education and its third missionary role, may constitute the competitiveness of a given institution. If the impact of higher education institutions on location could be measured uniformly, competition between institutions would be more transparent and the role of the region would be strengthened.

The economy, unemployment, and job creation of South Africa heavily depend on the growth of the agricultural sector. With a growing population of 60 million, there are approximately 4 million small-scale farmers (SSF) number, and about 36,000 commercial farmers which serve South Africa. The agricultural sector in South Africa faces challenges such as climate change, lack of access to infrastructure and training, high labour costs, limited access to modern technology, and resource constraints. Precision agriculture (PA) using AI can address many of these issues for small-scale farmers by improving access to technology, reducing production costs, enhancing skills and training, improving data management, and providing better irrigation infrastructure and transport access. However, there is a dearth of research on the application of precision agriculture using artificial intelligence (AI) by small scale farmers (SSF) in South Africa and Africa at large. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) and Bibliometric analysis guidelines were used to investigate the adoption of precision agriculture and its socio-economic implications for small-scale farmers in South Africa or the systematic literature review (SLR) compared various challenges and the use of PA and AI for small-scale farmers. The incorporation of AI-driven PA offers a significant increase in productivity and efficiency. Through a detailed systematic review of existing literature from inception to date, this study examines 182 articles synthesized from two major databases (Scopus and Web of Science). The systematic review was conducted using the machine learning tool R Studio. The study analyzed the literature review articled identified, challenges, and potential societal impact of AI-driven precision agriculture.