This study investigates how corruption impacts sustainability in African countries. Using public databases, the research draws on the African Development Bank’s corruption indicators and the World Bank’s financial inclusion metrics. The findings reveal that as financial inclusion increases, particularly through the use of digital financial services, perceptions of corruption decrease. However, economic growth paradoxically correlates with an increased perception of corruption due to rising consumption demands. The study concludes that promoting financial literacy, along with robust governance, is essential for combating corruption and fostering sustainable development.

Lately, there is a progressive assimilation of sustainable and green development principles into the collective conscience of individuals. Companies have received considerable attention from all sectors of life when it comes to the environment, society and governance (ESG). This study uses a bidirectional fixed effects model to investigate the influence and the mechanism of green innovation on company ESG information, using a research sample composed of data from the A-share listed companies in China spanning the period from 2011 to 2021. The findings indicated that green innovation exerted a substantial positive influence on ESG information disclosure, and the effect was more substantial, especially in mature and declining companies. Financing constraints and analysts’ attention played a mediating role between green innovation and ESG information disclosure. The results of heterogeneity analysis showed that green innovation played a more significant role in promoting ESG information disclosure among state-owned companies, large-scale companies, manufacturing companies and heavy pollution companies. Furthermore, implementing green development policies had facilitated the reinforcement of the promotion impact of ESG information disclosure through green innovation. Additionally, the instrumental variable method was employed to conduct a robustness test. This study enhances the understanding of the theoretical framework about green innovation and the disclosure of ESG information, and offers valuable insights for advancing the sustainable development of companies.

The proliferation of digital literary discourse has led to a competitive, and often times antagonistic, relationship between this new form and its traditional paper-based counterpart. The success of this new critical literary media has come as a result of major global changes to social consciousness and societal pressures to utilize communication systems that can keep pace with the speed of social action. Discussions on the legitimacy of digital literary discourse are often limited by the use of conciliatory debates that merely present moderate viewpoints. This research addresses the issue using a socio-discursive lens, focusing on a critical exploration of the underlying reasoning for the technological wariness of paper-based literary practitioners. Contrary to the views of many traditionalists, digital literature does not derive its discursive identity, nor its legitimacy, from a combative relationship with paper-based criticism. Instead, this analysis indicates that the use of digital media marks a significant turning point in the institution of literary discourse, formed as a response to shifting individual and collective needs of an accelerating pace of life. Therefore, digital literary discourse is not simply a form or idea that can be accepted or rejected. Rather, it is a forced formation of a new and constantly evolving expressive and inferential space, created by the combination of existing and innovative media, producing new meanings that were impossible to generate under the dominance of old media.

Artificial intelligence has transformed teachers’ teaching models. This article explores the application of artificial intelligence in basic education in Macao middle schools. This study adopts case analysis in qualitative research, using a total of eight cases from the innovative technology education platform of the Macau education and Youth Development Bureau. These data illustrate how Macao’s artificial intelligence technology promotes teaching innovation in basic education. These eight cases are closely related to the application of artificial intelligence in basic education in Macao. The survey results show that Macao’s education policy has a positive effect on teaching innovation in artificial intelligence education. In teaching practice, the school also cooperates with the government’s policy. The application of AI technology in teaching, students’ learning styles, changes in teachers’ roles, and new needs for teacher training are all influential.

The Modern Cities Program is the largest-scale urban development effort in the history of the country, with which the Government of Hungary aims to promote the simultaneous development of municipalities at the same hierarchical level. Its projects focus on the preservation of intangible and tangible cultural heritage, the transformation of urban public spaces and green areas into community spaces, the creation of institutions for sports and recreational activities, research and development, digitalization, projects for innovative and creative professionals, and public educational and cultural institutions. The study aims to analyze the funding granted for developing the cultural and creative sector of cities with county rights through the Modern Cities Program in the period 2016–2025, by comparing the size of their population, their strategic importance in regional economic policy and the relationship between the value of the cultural heritage with the amount of funding received. The paper unveils the distribution of grants over time and space, the modalities and proportion of grants, and the way the cities that has received grants align with the national strategy. This will also reveal a shift in the regional importance of the cities and their relationship. Until February 2024, the Government of Hungary has contributed more than HUF 322.6 billion (809.5 million EUR) to the implementation of 98 cultural and creative projects in 22 cities with county rights through its urban development support program that has been established for the development and regeneration of cities with county rights and to counter the dominance of the capital.

The idea of emotions that is concealed in human language gives rise to metaphor. It is challenging to compute and develop a framework for emotions in people because of its detachment and diversity. Nonetheless, machine translation heavily relies on the modeling and computation of emotions. When emotion metaphors are calculated into machine translation, the language is significantly more colorful and satisfies translating criteria such as truthfulness, creativity and beauty. Emotional metaphor computation often uses artificial intelligence (AI) and the detection of patterns and it needs massive, superior samples in the emotion metaphor collection. To facilitate data-driven emotion metaphor processing through machine translation, the study constructs a bi-lingual database in both Chinese and English that contains extensive emotion metaphors. The fundamental steps involved in generating the emotion metaphor collection are demonstrated, comprising the basis of theory, design concepts, acquiring data, annotating information and index management. This study examines how well the emotion metaphor corpus functions in machine translation by proposing and testing a novel earthworm swarm-tunsed recurrent network (ES-RN) architecture in a Python tool. Additionally, the comparison study is carried out using machine translation datasets that already exist. The findings of this study demonstrated that emotion metaphors might be expressed in machine translation using the emotion metaphor database developed in this research.