In Côte d'Ivoire, the government and its development partners have implemented a national strategy to promote agroforestry and reforestation systems as a means to combat deforestation, primarily driven by agricultural expansion, and to increase national forest cover to 20% by 2045. However, the assessment of these systems through traditional field-based methods remains labor-intensive and time-consuming, particularly for the measurement of dendrometric parameters such as tree height. This study introduces a remote sensing approach combining drone-based Airborne Laser Scanning (ALS) with ground-based measurements to enhance the efficiency and accuracy of tree height estimation in agroforestry and reforestation contexts. The methodology involved two main stages: first, the collection of floristic and dendrometric data, including tree height measured with a laser rangefinder, across eight (8) agroforestry and reforestation plots; second, the acquisition of ALS data using Mavic 3E and Matrice 300 drones equipped with LiDAR sensors to generate digital canopy models for tree height estimation and associated error analysis. Floristic analysis identified 506 individual trees belonging to 27 genera and 18 families. Tree height measurements indicated that reforestation plots hosted the tallest trees (ranging from 8 to 16 m on average), while cocoa-based agroforestry plots featured shorter trees, with average heights between 4 and 7 m. A comparative analysis between ground-based and LiDAR-derived tree heights showed a strong correlation (R2 = 0.71; r = 0.84; RMSE = 2.24 m; MAE = 1.67 m; RMSE = 2.2430 m and MAE = 1.6722 m). However, a stratified analysis revealed substantial variation in estimation accuracy, with higher performance observed in agroforestry plots (R2 = 0.82; RMSE = 2.21 m and MAE = 1.43 m). These findings underscore the potential of Airborne Laser Scanning as an effective tool for the rapid and reliable estimation of tree height in heterogeneous agroforestry and reforestation systems.

This study aims to investigate the impact of dance training on the mental health of college students. Utilizing experimental research methods, we established an experimental group and a control group to compare changes in mental health dimensions—including anxiety, depression, self-esteem, and social skills—between the two groups before and after 12 weeks of dance training. The findings indicate that dance training significantly reduces levels of anxiety and depression, while also improving self-esteem and social skills, thereby enhancing social adaptability. These results provide empirical support for the use of dance as an intervention for mental health and offer new insights for mental health education in colleges and universities.

Vietnam’s economic evolution presents a compelling case of transformative growth driven by its distinctive historical, cultural, and policy landscapes. Since the watershed Đổi Mới reforms of 1986, the country has navigated the complexities of market liberalization, socialist principles, and international integration, achieving remarkable development while preserving its economic sovereignty. Through a mixed-methods approach, this study delves into the impacts of Đổi Mới, assessing the successes and ongoing challenges in Vietnam’s economic restructuring. Results indicate a remarkable shift in GDP contribution from agriculture to industry and services, with a burgeoning private sector and enhanced international trade and investment. However, challenges in achieving equitable growth, inclusive development, and environmental sustainability remain salient amid global economic shifts. Vietnam’s experience underscores the critical need for targeted reforms in workforce development, economic diversity, infrastructural enhancement, environmental stewardship, and regulatory and financial governance. Vietnam’s proactive stance on economic autonomy and global participation highlights the importance of a nuanced approach in navigating the changing international landscape. In summary, Vietnam’s journey through economic structural reform provides a unique perspective on navigating development within a socialist-oriented market framework, serving as a distinctive exemplar for similar emerging economies contending with the vibrant currents of globalization.

The significant climate change the planet has faced in recent decades has prompted global leaders, policymakers, business leaders, environmentalists, academics, and scientists from around the world to unite their efforts since 1987 around sustainable development. This development not only promotes economic sustainability but also environmental, social, and corporate sustainability, where clean production, responsible consumption, and sustainable infrastructures prevail. In this context, the present article aims to propose a development framework for sustainability in food sector SMEs, which includes Life Cycle Assessment (LCA) and the integration of Environmental, Social, and Governance (ESG) strategies as key elements to reduce CO₂ emissions and improve operational efficiency. The methodology includes a comparative analysis of strategies implemented between 2019 and 2023, supported by quantitative data showing a 20% reduction in operating costs, a 10% increase in market share, and a 25% increase in productivity for companies that adopted clean technologies. This study offers a significant contribution to the field of corporate sustainability, providing a model that is adaptable and applicable across different regions, enhancing innovation and business resilience in a global context that requires collective efforts to achieve the sustainable development goals.

Community policing has emerged as a vital instrument for combatting crime and enhancing public safety in South Africa. As a result, it has the capacity to go beyond traditional law enforcement functions as a mediator in disputes, fostering improved relationships between the police and the communities where they work. This paper analyses the implementation of community policing strategies by the South African police with the purpose of resolving conflicts. This study aims to address social crime prevention-related concerns through community policing methods in the Galeshewe police area within the Francis Baard policing regions of the Sol Plaatje Municipality, South Africa. The paper examines the tactics that community police employ to enforce the law, avoid social issues, and manage conflict resolution in the communities. A qualitative method and descriptive design were employed. Comprehensive document analysis, semi-structured interviews, and observations were employed as data collection strategies. An inductive reasoning model was used to analysis data. The findings of the study demonstrated that community policing plays an important role in optimizing problem mapping and it increases public knowledge of the importance of upholding security and order in the different police operations that support the community policing program.

Under the background of green economic transformation, the sustainable utilization of ecological resources has become a trend, and bamboo all-for-one tourism has become a new development direction for bamboo-resource-rich areas. Based on the all-for-one tourism model and characteristics of bamboo resources, this paper puts forward a bamboo all-for-one tourism model, which shows the relationship between resources, products, and markets, and elaborates on the joint effect mechanism of industrial environment, governance environment, and external environment. Taking Yibin City, Sichuan Province as an example, this paper also analyzes existing problems of developing bamboo all-for-one tourism and then proposes suggestions to provide effective analytical ideas and reference, such as establishing a market-oriented all-product development model, introducing the sustainable development concept of bamboo management, establishing the management concept of sharing by all people, and driving all industries developing in a coordinated way.