Journal of Humanities and Applied Science Research

Emerging Technologies in Secure Data Sharing, Predictive Maintenance, and Autonomous Systems in 5G Networks

Tran Minh Tuan — 2024-09-04

This paper explores the integration of 5G communication, UAV systems, predictive maintenance, and NFV to address challenges in healthcare, smart grids, and autonomous vehicle navigation. The rapid development of 5G-enabled technologies has transformed secure data sharing in healthcare networks, optimized smart grid performance, and enhanced autonomous driving capabilities. These advancements, driven by multi-source data fusion, machine learning, and hybrid V2X-UAV frameworks, demonstrate the potential of modern technologies to revolutionize existing systems. This paper reviews the state-of-the-art approaches in predictive maintenance, secure communication protocols, and sensor fusion, highlighting the critical role of 5G and advanced analytics. The research focuses on the technological synergies and innovations that drive these applications, discussing the challenges, benefits, and future implications of integrating these systems. By drawing on diverse studies, this paper aims to provide a comprehensive overview of the latest advancements in 5G-enabled networks and their impact on healthcare, smart grid optimization, and autonomous vehicle navigation.

Evaluating Sustainable Development Frameworks for Transforming Agricultural Practices through Integrative Resource Management Approaches in Developing Economies

Hector Dela Cruz — 2024-09-07

Sustainable development in agriculture within developing economies has gained significant attention due to the critical need for food security, environmental protection, and economic viability. As agricultural practices largely rely on natural resources, integrating sustainable frameworks that emphasize efficient resource management can potentially transform these practices. This paper evaluates existing sustainable development frameworks for agriculture, with a particular focus on their application in developing economies where resource constraints and environmental challenges are pervasive. By examining integrative resource management approaches, such as ecosystem-based management (EBM), agroecology, and circular economy principles, this paper seeks to identify strategies that are both economically feasible and environmentally sound. A comprehensive analysis of these frameworks is conducted, highlighting their strengths, limitations, and applicability in varied agricultural contexts within developing regions. Key challenges faced by developing economies, including resource degradation, climate variability, and economic limitations, underscore the need for sustainable agricultural practices that not only increase productivity but also enhance resilience to environmental stressors. This paper proposes a multi-criteria assessment methodology for evaluating the effectiveness of sustainable frameworks and suggests context-specific adaptations to better align with local socio-economic and ecological conditions. Through a synthesis of recent studies and case examples, the analysis identifies factors that contribute to successful implementation, such as policy support, community engagement, and knowledge-sharing systems. The findings indicate that integrative resource management approaches, when adapted to the unique challenges of developing economies, can lead to more sustainable agricultural practices, improved livelihood resilience, and better ecosystem services. Conclusively, this paper argues that the adoption of sustainable development frameworks requires both structural changes and participatory approaches to ensure that resource management strategies are inclusive, locally adapted, and sustainable over the long term.

Hepatocellular Carcinoma: Advances in Early Detection, Surgical Resection, and Targeted Therapeutics

Camila Morales — 2024-09-10

Hepatocellular carcinoma (HCC) is the most prevalent primary liver cancer, representing a significant global health challenge due to its high incidence and mortality rates. Early detection, effective surgical interventions, and advancements in targeted therapeutics have significantly improved patient outcomes. The early detection of HCC relies on imaging modalities such as ultrasonography and advanced biomarkers, enabling diagnosis at potentially curable stages. Surgical resection remains a cornerstone of treatment for localized HCC, though patient eligibility is limited by underlying liver function and tumor characteristics. Liver transplantation provides a curative approach for selected patients but is constrained by donor organ availability. Recent advances in targeted therapeutics, including tyrosine kinase inhibitors and immune checkpoint inhibitors, have transformed the management landscape for advanced HCC, offering improved survival and quality of life. However, the high heterogeneity of HCC and the interplay with underlying liver disease complicate therapeutic strategies. This review consolidates the latest progress in early detection, surgical resection, and targeted therapeutics, emphasizing the challenges and future directions in managing HCC.