This study addresses the impact of the tourism sector on poverty, poverty depth, and poverty severity in Indonesia, focusing on the micro-level dynamics in the province. Despite numerous tourism destinations, their strategic contribution to regional progress remains underexplored. The motivation stems from the need to comprehend the nuanced relationship between tourism and poverty at both the national and local levels, with specific attention to the untapped potential at the province level in Indonesia. We hypothesize that a higher tourism sector GRDP will be inversely correlated with poverty levels, and the inclusion of a Covid-19 variable will reveal a structural impact on poverty dynamics. Employing a Panel Regression Model, secondary data from the Central Statistics Agency (BPS) spanning 2011–2020 is utilized. A panel data regression equation model, including CEM, FEM, and REM, is employed to analyze the intricate relationship between tourism and poverty. The findings demonstrate a negative correlation between higher tourism sector GRDP and the number of poor people. The Covid-19 variable, considered a structural break, reveals a significant association between increased cases and elevated poverty and severity across Indonesian provinces. This study contributes a micro-level analysis of tourism’s role, emphasizing its impact at the provincial level. The findings underscore the need for strategic initiatives to harness the untapped potential of tourism in alleviating poverty and promoting regional progress.

With the development of college education and the increasing demand of students' comprehensive quality training, the second classroom in colleges and universities has attracted much attention as an important form of education. The purpose of this study is to investigate and analyze the development of the second classroom in colleges and universities, and put forward corresponding countermeasures and suggestions. Through mixed research methods, including questionnaire survey, interview and literature research, we have a comprehensive understanding of the type and quantity of college second classroom projects, student participation, project quality and effectiveness, and organization and management. On this basis, we put forward a series of targeted countermeasures and suggestions, including strategies and measures to improve student participation, suggestions to improve the quality and effect of the project, and optimize the program of organization and management. The results of this study have important theoretical and practical significance for universities to improve the level of the second classroom and promote the all-round development of students.

This study was conducted to comprehensively explore personal assistants for people with disabilities experiences and the current status of client behavioral issues during vocational activities, aiming to seek strategies for advancing worker health protection. The study included 8 participants (Personal assistants for people with disabilities) selected through voluntary convenience sampling method. Qualitative research methods, specifically in-depth interviews, were conducted from August 31 to September 1, 2023. The study categorized client behavioral issues into ‘unreasonable demands,’ ‘verbal and physical abuse,’ and ‘sexual harassment,’ causing stress among workers. Fear of unemployment and job change hindered emotional expression, leading to significant emotional exhaustion and job stress. Furthermore, it was revealed that there are no management policies, management departments, or management systems within the institution to address client problem behavior. To address these issues, the study suggests the establishment of emotional labor management systems and support structures. Furthermore, it emphasizes the need for systematic internal systems and the development of health protection manuals for client interaction.

Science and technology play an extremely important part in today’s world. They are the key for countries to reach a certain level of economic and social development. Thus, in order to catch up with the common development of mankind, countries have issued their own policies and laws on science and technology activities. National science and technology policies aim to enhance social welfare, foster sustainable development, and advance global scientific and technological progress. Vietnam is considered as one of the countries attaching great importance to science and technology. Therefore, even in the law with the highest legal value—the Constitution has solemnly recognized the position and role of science and technology as the leading national policy, playing a major role in the cause of the country’s socio-economic development. However, in the face of the requirements of sustainable development and the desire for the country’s prosperity and strength, policies and laws on science and technology in particular and policies and laws in general of Vietnam must be perfected and renewed continuously, especially in the context of globalization and sustainable development requirements, modern nation as it is today. Therefore, the article focuses on clarifying the situation of adjusting policies and laws on science and technology in Vietnam during the past, thereby proposing new complete solutions in the coming time. This is the basis for policy makers to refer to in the process of developing policies and laws on science and technology in Vietnam.

Credit policies for clean and renewable energy businesses play a crucial role in supporting carbon neutrality efforts to combat climate change. Clustering the credit capacity of these companies to prioritize lending is essential given the limited capital available. Support Vector Machine (SVM) and Artificial Neural Network (ANN) are two robust machine learning algorithms for addressing complex clustering problems. Additionally, hyperparameter selection within these models is effectively enhanced through the support of a robust heuristic optimization algorithm, Particle Swarm Optimization (PSO). To leverage the strength of these advanced machine learning techniques, this paper aims to develop SVM and ANN models, optimized with the PSO, for the clustering problem of green credit capacity in the renewable energy industry. The results show low Mean Square Error (MSE) values for both models, indicating high clustering accuracy. The credit capabilities of wind energy, clean fuel, and biomass pellet companies are illustrated in quadrant charts, providing stakeholders with a clear view to adjust their credit strategies. This helps ensure the efficient operation of banking green credit policies.

While the notion of the smart city has grown in popularity, the backlash against smart urban infrastructure in the context of changing state-public relations has seldom been examined. This article draws on the case of Hong Kong’s smart lampposts to analyse the emergence of networked dissent against smart urban infrastructure during a period of unrest. Deriving insights from critical data studies, dissentworks theory, and relevant work on networked activism, the article illustrates how a smart urban infrastructure was turned into both a source and a target of popular dissent through digital mediation and politicisation. Drawing on an interpretive analysis of qualitative data collected from multiple digital platforms, the analysis explicates the citizen curation of socio-technic counter-imaginaries that constituted a consent of dissent in the digital realm, and the creation and diffusion of networked action repertoires in response to a changing political opportunity structure. In addition to explicating the words and deeds employed in this networked dissent, this article also discusses the technopolitical repercussions of this dissent for the city’s later attempts at data-based urban governance, which have unfolded at the intersections of urban techno-politics and local contentious politics. Moving beyond the common focus on neoliberal governmentality and its limits, this article reveals the underexplored pitfalls of smart urban infrastructure vis-à-vis the shifting socio-political landscape of Hong Kong, particularly in the digital age.