Retinal disorders, such as diabetic retinopathy, glaucoma, macular edema, and vein occlusions, are significant contributors to global vision impairment. These conditions frequently remain symptomless until patients suffer severe vision deterioration, underscoring the critical importance of early diagnosis. Fundus images serve as a valuable resource for identifying the initial indicators of these ailments, particularly by examining various characteristics of retinal blood vessels, such as their length, width, tortuosity, and branching patterns. Traditionally, healthcare practitioners often rely on manual retinal vessel segmentation, a process that is both time-consuming and intricate, demanding specialized expertise. However, this approach poses a notable challenge since its precision and consistency heavily rely on the availability of highly skilled professionals. To surmount these challenges, there is an urgent demand for an automatic and efficient method for retinal vessel segmentation and classification employing computer vision techniques, which form the foundation of biomedical imaging. Numerous researchers have put forth techniques for blood vessel segmentation, broadly categorized into machine learning, filtering-based, and model-based methods. Machine learning methods categorize pixels as either vessels or non-vessels, employing classifiers trained on hand-annotated images. Subsequently, these techniques extract features using 7D feature vectors and apply neural network classification. Additional post-processing steps are used to bridge gaps and eliminate isolated pixels. On the other hand, filtering-based approaches employ morphological operators within morphological image processing, capitalizing on predefined shapes to filter out objects from the background. However, this technique often treats larger blood vessels as cohesive structures. Model-based methods leverage vessel models to identify retinal blood vessels, but they are sensitive to parameter selection, necessitating careful choices to simultaneously detect thin and large vessels effectively. Our proposed research endeavors to conduct a thorough and empirical evaluation of the effectiveness of automated segmentation and classification techniques for identifying eye-related diseases, particularly diabetic retinopathy and glaucoma. This evaluation will involve various retinal image datasets, including DRIVE, REVIEW, STARE, HRF, and DRION. The methodologies under consideration encompass machine learning, filtering-based, and model-based approaches, with performance assessment based on a range of metrics, including true positive rate (TPR), true negative rate (TNR), positive predictive value (PPV), negative predictive value (NPV), false discovery rate (FDR), Matthews's correlation coefficient (MCC), and accuracy (ACC). The primary objective of this research is to scrutinize, assess, and compare the design and performance of different segmentation and classification techniques, encompassing both supervised and unsupervised learning methods. To attain this objective, we will refine existing techniques and develop new ones, ensuring a more streamlined and computationally efficient approach.

the study deals with the issue of mining transport technology and its use in mines in Slovakia and Hungary at the end of the 19th and the beginning of the 20th century. It focuses on the analysis and comparison of the transport infrastructure used in these mines, either as original Slovak inventions or as products of foreign provenance. The research is based on the analysis of monographic and periodical press production from this period, where these technological achievements were presented and discussed. In addition, the study examines the media presentation of these products in the contemporary traditional periodical press. The findings of the study offer an important historical perspective on the development of mining transport technology and related industries in the region and contribute to the understanding of the media presentation and promotion of mining technology. This research is in line with the objectives of the “CultureMind” project, which focuses on the promotion and promotion of cultural heritage through media and education.

Several studies have investigated Islamic endowment (Waqf), but less attention has been given to the application of legal principles of Islamic objectives in the regulation and management of Islamic endowments in Muslim communities. The primary focus of this study is to explore the legal implementation of Maqasidush-Shari’ah or otherwise known as the Objectives of Islamic Law, as evidenced in Islamic charitable endowments. This study employs an analytical research approach (ARA), systematic literature review (SLR) and content analysis (CA) to demonstrate and evaluate how the Waqf institution can be revitalized in contemporary times, drawing parallels with its effective implementation during the formative years of Islam, rooted in the principles of Maqasidush-Shari’ah. The results demonstrate that the efficacy of Waqf typically stems from the societal advantages it offers, derived from the safeguarding of faith, property, life, honour, and lineage, which are fundamental of Maqasidush-Shari’ah or objectives of Islamic law. The study further demonstrated that Islamic endowment has various benefits such as providing grant to the social development and interests to the public. However, various challenges such as knowledge deficit in the application of Shari‘ah principles in Waqf, lack of a developed framework for managing various types of Waqf among others are identified. Nonetheless, effective regulation and management of Waqf applications of Islamic objectives on Waqf. In conclusion, this study has underscored the significant contributions of the Islamic endowment system across various spheres, including social welfare, scientific advancements, economic prosperity, and healthcare, all of which align with the objectives of Islamic legal principles encapsulated in Maqasidush-Shari’ah. Hence, the research ultimately proposes several favourable elements that could bolster the resurgence of Waqf in contemporary times, reviving its significance and societal impact. It is therefore suggested that the stakeholders should enhance understanding of the policies, legal principles, and governance structures governing Waqf as an Islamic charitable foundation, substantiated by Islamic objectives (Maqasidush-Shari’ah).

The hopes and aspirations of Law No. 6/24 on Village autonomy has faced several problems and challenges. These problems and challenges arose when the village government had to undertake various delegated tasks assigned by the regency, provincial, and central governments. As a result, the village is preoccupied with delegated tasks assigned by supra-village authorities, straining its resources and budget. The shift in focus resulted the village government are unable to perform their main tasks and responsibilities. This situation is akin to the Village Head functioning as a state employee. Stunting is one of the assignment programs that causes various problems and instrumentalizes villages. This process involves mobilizing village institutions, human resources, and budgets to ensure the program’s success. This study employed exploratory-qualitative approach to investigate the challenges arising from the stunting program’s implementation in Ngargosari Village. The research informants included the village head, village officials, posyandu cadres, community leaders, and program beneficiaries. The data were gathered through in-depth interviews were validated and reconfirmed using Focus Group Discussions. Furthermore, an in-depth analysis was carried out to obtain findings related to village instrumentalization in the stunting program. The findings revealed that the stunting program’s implementation involved mobilizing village institutions, resources, and budgets. The village government lacked bargaining power against supra-village policies, despite their alignment with local values and wisdom. The central government dictated the system, procedures, mechanisms, and methods for handling stunting in a centralized manner, disregarding local wisdom and the authority of village governments as outlined in Law Number 6 of 2014 on Villages. Consequently, the stunting program represents a form of village instrumentalization akin to the New Order era, with centralistic initiatives that relegate village heads to the role of state employees.

This study offers a new perspective on measuring the impact of village funds (DD) on rural development. Using a mixed-method approach, the qualitative analysis reveals that, like previous rural development programs, the DD program struggles to implement inclusive methods for capturing community aspirations and evaluating outcomes. Despite rural infrastructure improvement, many villagers feel they have not fully benefited and do not view it as offering economic opportunities. The econometric model confirms the qualitative findings, indicating no significant DD influence on the village development index (IPD). Instead, effective governance factors like Musdes, regulations, and leadership are essential for the IPD improvement. Thus, enhancing village governments’ institutional capacity is crucial for increasing the DD effectiveness. The paper recommends several measures: training village officials in financial management and project planning, providing guidelines for the DD allocation and usage, creating robust monitoring-evaluation systems, developing communication strategies, and fostering partnerships with local NGOs and universities.