This research presents a comprehensive model for enhancing the road network in Thailand to achieve high efficiency in transportation. The objective is to develop a systematic approach for categorizing roads that aligns with usage demands and responsible agencies. This alignment facilitates the creation of interconnected routes, which ensure clear responsibility demarcation and foster efficient budget allocation for road maintenance. The findings suggest that a well-structured road network, combined with advanced information and communication technology, can significantly enhance the economic competitiveness of Thailand. This model not only proposes a framework for effective road classification but also outlines strategic initiatives for leveraging technology to achieve transportation efficiency and safety.

The small and medium tourism enterprises sector has experienced a decline in Indonesia’s economic conditions in recent years. This research aims to advise stakeholders regarding factors that must be considered and included in future policy formulation. The research methodology is a mixed method supported by the N-Vivo computer program, interview studies, and FGD. This research focuses on four tourism provinces in Indonesia. The research results using thematic analysis identified 133 codes, 19 categories, nine core themes, and one impact theme. This research’s novelty highlights that government policy’s effects on tourism SME marketing are not significant due to weak support. Apart from that, partnerships and collaboration between the central regional government and tourism SMEs are the main factors determining their development at the regional level. This research concludes that government intervention and support in encouraging the growth and sustainability of tourism SMEs are necessary. The Government must promote collaboration between tourism SMEs because increasing the number of tourists is crucial, as well as encouraging sustainable marketing practices and simplifying regulations. The recommendation is that the Government immediately simplify regulations, expand partnerships and collaboration, and promote innovation in tourism SMEs. By implementing these recommendations, policymakers can create an environment that supports the development of tourism SMEs, allowing the tourism sector to increase GRDP.

This research underscores the importance of enhancing the early detection of diabetic retinopathy and glaucoma, two prominent culprits behind vision loss. Typically, retinal diseases lurk without symptoms until they inflict severe vision impairment, underscoring the critical need for early identification. The research is centered on the potential of leveraging fundus images, which offer invaluable insights by analyzing various attributes of retinal blood vessels, such as their length, width, tortuosity, and branching patterns. The conventional practice of manually segmenting retinal vessels by medical professionals is both intricate and time-consuming, demanding specialized expertise. This approach, reliant on pathologists, grapples with limitations related to scalability and accessibility. To surmount these challenges, the research introduces an automated solution employing computer vision. It conducts an evaluation of diverse retinal vessel segmentation and classification methods, including machine learning, filtering-based, and model-based techniques. Robust performance assessments, involving metrics like the true positive rate, true negative rate, and accuracy, facilitate a comprehensive comparison of these methodologies. The ultimate goal of this research is to create more efficient and accessible diagnostic tools, consequently enhancing the early detection of eye diseases through automated retinal vessel segmentation and classification. This endeavor combines the capabilities of computer vision and deep learning to pioneer new benchmarks in the realm of biomedical imaging, thereby addressing the pressing issues surrounding eye disease diagnosis.

[Objective]In order to explore the sustainable food security level in the Yangtze River Economic Belt, ensure food security and sustainable development of agricultural modernization, it is necessary to establish a scientific food security evaluation system to safeguard local food security.[Methods]This paper takes the food system of the Yangtze River Economic Belt in China as the research object, based on the food security research results at home and abroad, based on sustainable development thinking, combined with a new perspective of dynamic equilibrium research: Beginning with food normalcy, a comprehensive analysis of food production, food economy, social development, ecological security, and technical support for sustainable development is presented using the entropy-weighted TOPSIS model to build a food security evaluation system for sustainable development. [Conclusion]After systematic analysis, it is concluded that (1) the average value of food security score of the Yangtze River Economic Belt from 2008 to 2021 is 0.429, and the overall food in the Yangtze River Economic Belt is in general security level (0.400 ≤ Q1 ≤ 0.600), and the overall situation of food security is not optimistic, (2) from the segmentation of the Yangtze River Economic Belt, the high and low level of food security are divided into sections: midstream > downstream > upstream, and each province and city is slowly rising to different degrees. In this way, we propose general countermeasures to ensure local food security from the perspective of sustainable development.

The wealth of nations depends on the quality of their infrastructure. Often, however, infrastructure suffers from ineffective investments and poor maintenance. Proposed solutions, such as New Public Management or Public-Private Partnerships (PPPs) tend to develop into Politicians-Private Partnerships as politicians collude with private firms to exploit present and future tax-payers. Therefore, it is necessary to give citizens better control over collective decision making. While there is a significant economic literature on empowering citizens via decentralization and direct democratic institutions, the role of electoral rules has thus far been rather neglected. An interesting case in point is Switzerland, which is well known for its high-quality infrastructure, extensive decentralization, and direct democracy. However, this paper argues that there is an additional and previously neglected institution that moves Swiss politicians away from client politics towards better serving public interest: Switzerland’s unique electoral institutions which effectively combine proportional elections with multi-seat majority elections. We explain how these institutions work, how they enhance the relationships between citizens and public and private entities, and we argue that they could be implemented in other countries.

The aim of the study is to identify the requirements for qualifying administrative leaders and the challenges they face at King Khalid University, in light of the general framework of the Human Capacities Development Program, which includes four dimensions (values and behaviours-basic skills-future skills-knowledge). A descriptive approach was used, and the study population consisted of academic leaders at King Khalid University, totalling (107). A questionnaire was used as a research tool, comprising three axes and (53) statements to collect data after ensuring their validity and reliability. The results showed the agreement of the study population on the axis of requirements for qualifying administrative leaders at King Khalid University to a very high degree, with an average score of (4.44), and their agreement on the challenges facing the qualification of administrative leaders at King Khalid University to a very high degree, with an average score of (4.11), and their agreement on the mechanisms for qualifying administrative leaders at King Khalid University to a very high degree, with an average score of (4.29). The results also showed no statistically significant differences at the significance level (0.05) between the means of responses of the study population on the requirements, challenges, and mechanisms for qualifying administrative leaders according to variables (gender-academic qualification—experience in the current job). In light of the study results, a proposed strategy was developed, and recommendations were made, including adopting the proposed strategy and governing the programs for qualifying administrative leaders at King Khalid University to ensure transparency, fairness, and accountability at all stages from nomination, preparation, and evaluation, in addition to considering the university’s strategic plan when designing programs for qualifying administrative leaders to adopt the values embraced by the administration and build leaders who contribute to achieving its vision and mission in the long term.