This research can help improve public health and ensure the sustainable transformation of the food system. This study aims to analyze the success of Regional Food Security development activities through Community Empowerment with the food independent village program carried out by regional command units in the ranks of Korem 063/SGJ (Sunan Gunung Jati). This study uses qualitative descriptive with comparative methods. Population includes villages that have received the food independent village program in West Java (Kuningan, Cirebon, Majalengka, and Cirebon City) between 2009 and 2022. The research sample consisted of 4 villages selected from each of the districts/cities. The research informants totalled 37 people, consisting of stakeholders from the Korem 063/Sunan Gunung Jati Unit and its staff, the Food Security Service, village heads, affinity groups or farmers, and community leaders in the research area. The results of the study indicate that the success and failure in the implementation of the food independent village program by affinity groups and the food security development activity program by Satkowil have an effect on food availability, food distribution and food consumption. This research is expected to provide a comprehensive overview of the implementation of the food independent village program and food security development activities by regional command units in West Java.

The present study focuses on improving Cognitive Radio Networks (CRNs) based on applying machine learning to spectrum sensing in remote learning scenarios. Remote education requires connection dependability and continuity that can be affected by the scarcity of the amount of usable spectrum and suboptimal spectrum usage. The solution for the proposed problem utilizes deep learning approaches, namely CNN and LSTM networks, to enhance the spectrum detection probability (92% detection accuracy) and consequently reduce the number of false alarms (5% false alarm rate) to maximize spectrum utilization efficiency. By developing the cooperative spectrum sensing where many users share their data, the system makes detection more reliable and energy-saving (achieving 92% energy efficiency) which is crucial for sustaining stable connections in educational scenarios. This approach addresses critical challenges in remote education by ensuring scalability across diverse network conditions and maintaining performance on resource-constrained devices like tablets and IoT sensors. Combining CRNs with new technologies like IoT and 5G improves their capabilities and allows these networks to meet the constantly changing loads of distant educational systems. This approach presents another prospect to spectrum management dilemmas in that education delivery needs are met optimally from any STI irrespective of the availability of resources in the locale. The results show that together with machine learning, CRNs can be considered a viable path to improving the networks’ performance in the context of remote learning and advancing the future of education in the digital environment. This work also focuses on how machine learning has enabled the enhancement of CRNs for education and provides robust solutions that can meet the increasing needs of online learning.

The coronavirus pandemic has reinforced the need for sustainable, smart tourism and local travel, with rural destinations gaining in their popularity and leading to increased potential of smart rural tourism. However, these processes need adjustments to the current trends, incorporating new transformative business concepts and marketing approaches. In this paper we provide real life examples of new marketing approaches, together with new business models within the context of the use of new digital technologies. Via hermeneutic research approach, consisting of the secondary analysis of the addressed subject of smart rural tourism in adversity of the COVID-19 and 6 semi-structured interviews, the importance of technology is underscored in transforming rural tourism to smart rural tourist destinations. The respondents in the interview section were chosen based on their direct involvement in the presented examples and geographical location, i.e. France, Slovenia and Spain, where presented research examples were developed, concretely within European programmes, i.e. Interreg, Horizon and Rural Development Programme (RDP). Interviews were taking place between 2022 and 2023 in person, email or via Zoom. This two-phased study demonstrates that technology is important in transforming rural tourism to smart tourist destinations and that it ushers new approaches that seem particularly useful in applying to rural areas, creating a rural digital innovation ecosystem, which acts as s heuristic rural tourist model that fosters new types of tourism, i.e. smart rural tourism.

The sustainable development of Madeira Island necessitates the implementation of more precise and targeted planning strategies to address its regional challenges. Given the urgency of this issue within the context of sustainability, planning approaches must be grounded in and reinforced by a comprehensive array of thematic studies to fully grasp the complexities involved. This research leverages Geographic Information Systems (GIS) to analyze land use and occupancy patterns and their evolution within the municipality of Machico on Madeira Island. The study provides a nuanced perspective on the urban structure’s stagnation in the region, while concurrently highlighting the dynamic shifts in agricultural practices. Furthermore, it elucidates the transformation of predominant native vegetation within the municipality from 1990 to 2018. Notably, the research underscores the alarming decline in native vegetation due to anthropogenic activities, emphasizing the need for more rigorous monitoring by regional authorities to safeguard and preserve these valuable landscapes, habitats, and ecosystems.

With the development of the times, the political party system with Chinese characteristics has shown a strong vitality, promoted the development of the world's political party system, and made important contributions to human political civilization. At present, the political party system with Chinese characteristics has far-reaching influence and its discourse is of greater significance. Strengthening the construction of its discourse system can enhance the self-confidence and confidence of the Chinese people, highlight the superiority of China's political party system, and also effectively curb the discourse hegemony of Western political party systems, so that China has a strong discourse in the international arena, promoting the development and growth of China and achieving long-term stable development. This paper is mainly based on the study of the construction of the theoretical discourse system of the political party system with Chinese characteristics in the new era to develop the discussion.