Border areas can play a crucial role in market integration and infrastructure development between Central Asian countries, thus creating favorable economic growth and regional cooperation conditions. This study aims to assess the economic impact of border areas between Kazakhstan and Uzbekistan, focusing on their role in enhancing market integration and infrastructure development to foster regional growth and cooperation.  Focusing on labor and capital as essential production drivers, this study employs a sophisticated panel data regression model to explore the Cobb-Douglas production function’s application in these border territories. The research findings indicate that regions’ elasticity towards capital and labor inputs vary, necessitating differentiated economic strategies. For capital-intensive areas, we recommend prioritizing investments in infrastructure and technology to boost production outputs. Conversely, in regions where labor significantly influences production, the emphasis should be on human capital development through education, training, and improved labor market conditions. The study’s insights into the evolving trade relations between the two countries underscore the need for flexible economic policies to enhance regional integration and cooperation. This research not only fills a crucial knowledge gap but also offers a blueprint for leveraging the diverse economic landscapes of Central Asia’s border areas in future policy-making and regional economic strategy.

Using a qualitative research methodology and explanatory approach to collect data, we assessed whether the Beijing Consensus diplomacy in Africa is a promoter or threat to Africa’s pathway to sustainable development. The collected data were analysed using document and content analysis techniques. Analysis of the data revealed that the Beijing Consensus diplomacy in Africa is a positive initiative that has created a win-win situation, promoting sustainable development. The Beijing Consensus is opposed to the Washington Consensus, which influenced a win-lose situation that has deepened poverty, making Africa unable to move towards achieving sustainable development. The study found that China’s resource-for-development approach has similarities with pre-colonial Africa’s barter trade approach, which Africans practised in the entire continent. The analysis showed that applying the Beijing Consensus diplomacy to Africa has led to economic growth and development. The results showed that China’s Belt Road Initiative has transformed Africa, changing the continent from poverty to economic productivity, as road infrastructure is associated with economic growth and development. Moreover, it was evident from the analysis that without an African continental foreign policy rooted in continental sovereignty with transparent terms and conditions, Africa’s current benefits from China’s investments would lead to poverty instead of sustainable development. A continental foreign policy would create an African Consensus, which would act on behalf of the entire continent. This African Consensus diplomacy would thus become a continental foreign policy defining Africa globally. However, as it stands, the Beijing Consensus diplomacy is a promoter of sustainable development, but this promotion would not last long without African Consensus diplomacy. The study recommends that Africa should establish a continental foreign policy with African Consensus diplomacy to enable the continent to have one standard foreign policy and goal when trading with China and any other external world.

This study explores the role of arts management in regional economic development within major Chinese cities, including Beijing, Shanghai, and Shenzhen. Cultural organizations—such as museums, theaters, and galleries—contribute significantly to local economies through tourism, job creation, and the enhancement of cultural branding. Using a qualitative approach, 18 semi-structured interviews with arts managers and policymakers selected based on their influential roles in cultural organizations across these cities. The interviews were analyzed using thematic analysis, which identified key themes including the economic impact of cultural organizations, the influence of government policies, challenges in arts management, and the role of cultural tourism in fostering regional growth. The findings reveal that while government policies play a pivotal role in supporting cultural organizations, providing crucial funding, tax incentives, and infrastructure development, concerns remain about the long-term sustainability of funding due to shifting political and economic priorities. Additionally, arts managers face challenges related to balancing artistic goals with financial viability, particularly as the sector becomes increasingly competitive and technology-dependent. Key challenges identified include securing stable funding sources, adapting to digital technologies, talent retention, and maintaining artistic integrity amid commercial pressures. The study highlights the need for diversified funding models such as public-private partnerships and alternative revenue streams and suggests further exploration into the role of smaller cultural organizations in rural regions to promote inclusive regional development. Practical recommendations include developing strategies to enhance financial sustainability, investing in digital capabilities, and formulating policies that provide long-term support for the cultural sector. Overall, the research contributes to a better understanding of how effective arts management can drive regional economic development and offers practical recommendations for strengthening the sustainability of China’s cultural sector.

This research delves into the urgent requirement for innovative agricultural methodologies amid growing concerns over sustainable development and food security. By employing machine learning strategies, particularly focusing on non-parametric learning algorithms, we explore the assessment of soil suitability for agricultural use under conditions of drought stress. Through the detailed examination of varied datasets, which include parameters like soil toxicity, terrain characteristics, and quality scores, our study offers new insights into the complexities of predicting soil suitability for crops. Our findings underline the effectiveness of various machine learning models, with the decision tree approach standing out for its accuracy, despite the need for comprehensive data gathering. Moreover, the research emphasizes the promise of merging machine learning techniques with conventional practices in soil science, paving the way for novel contributions to agricultural studies and practical implementations.

This research quantitatively examines how online professional development (OPD) affects cognitive development in special education instructors. 100 individuals took part in outpatient department activities for six months, undergoing cognitive ability examinations before and after the intervention. Descriptive statistics, paired samples t-tests, multiple regression analysis, analysis of covariance (ANCOVA), and Pearson correlation coefficients were used to analyze the data. The findings show a significant rise in post-test scores on the Cognitive Abilities Test (CAT) after taking part in the OPD program. Years of experience and education level were important indicators of cognitive progress, emphasizing the significance of individual traits. Moreover, those with greater expertise and advanced levels of education often had better marks on the post-test. The results highlight the significance of cognitive growth as a crucial result of professional development for special education instructors, adding to the existing knowledge base. The research suggests giving priority to cognitive growth in professional development programs, customizing programs to meet individual requirements, and offering continuous support to educators. Future studies should investigate how OPD impacts cognitive development and analyze its lasting consequences on teacher efficacy and student results.

Silymarin, a bioactive compound derived primarily from the seeds and fruit of the milk thistle (Silybum marianum) plant, has garnered increasing attention in recent years due to its potential applications in agriculture. This comprehensive review explores the multifaceted role of silymarin in agricultural practices, shedding light on its chemistry, biological activities, and diverse applications. The chemical structure and properties of silymarin are elucidated, emphasizing its unique solubility, stability, and bioavailability, which render it suitable for agricultural use. A significant portion of the review is dedicated to examining the biological activities of silymarin, which encompasses its antioxidant properties. The underlying mechanisms responsible for these activities are explored, highlighting their potential as a natural solution for mitigating environmental stressors that adversely affect crop health and productivity. Illustrative examples from research studies and practical applications underscore its effectiveness in safeguarding agricultural yields and ensuring food security. Furthermore, the review delves into the potential of silymarin to enhance crop growth, yield, and quality. Mechanisms through which silymarin influences plant physiology and metabolism are examined, providing valuable insights into its role as a growth-promoting agent in agriculture. The review concludes with a forward-looking examination of the prospects of silymarin in agriculture, highlighting emerging trends and areas of innovation that hold promise for sustainable and resilient farming systems. In summary, this review consolidates the current body of knowledge surrounding silymarin’s potential in agriculture. It underscores the versatility of silymarin as a natural tool for crop protection, growth enhancement, and environmental sustainability, offering valuable insights for researchers, practitioners, and policymakers seeking innovative approaches to address the challenges of modern agriculture.