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Crisis management in the Public Health Service (PHS) require a paradigm shift, transitioning from a reactive medical provider to a central strategic pillar of national security. Addressing 21st-century hybrid threats —...

Abstract The Internet of Things (IoT) and emerging technologies have converged to drive the remarkable development of intelligent systems. The interconnection of physical objects, sensors, and tiny communication devices ...

Abstract Background Hepatic ischemia-reperfusion injury (HIRI) is a pathophysiological process during liver transplantation, characterized by insufficient oxygen supply and subsequent restoration of blood flow leading to...

This study focuses on informal relationships between airlines and suppliers in managing disruptions in the airline ground operation process during peak times in the summer seasons. In this context, the study investigates...

Digital Twin Networks (DTNs) are emerging as a key enabler for the robust optimization and lifecycle management of next-generation networks. However, current DTN approaches still rely heavily on manual design, implementa...

Although the mobility protocols have improved, Proxy Mobile IPv6 (PMIPv6)-Based Distributed Mobility Management (DMM) networks still have significant challenges to ensure a seamless user mobility. These problems include ...

This paper explores the application of convolutional neural networks (CNNs) in predictive modelling for seismic events and flood risks, with a particular focus on forecasting extreme quantile events that exceed historica...

This article assesses the current state of botanical collections in Argentine herbaria, with a particular focus on data and image digitization, collection management, and the publication of information through publicly a...

Mobile Edge Computing (MEC) brings computation close to end-users to support latency-sensitive applications, such as tele-manipulation and autonomous driving. While Network Function Virtualization (NFV) facilitates the d...

Abstract The resilience of power grids with high share of variable renewable energy sources (VREs) is increasingly challenged by cybersecurity risks, ageing infrastructure, and inefficient asset management. These vulnera...

This study presents a new strategy to improve security and efficiency in Machine-Type Communication (MTC) networks, addressing the drawbacks of the existing Adaptive Hierarchical Group-based Mutual Authentication and Key...

INTRODUCTION: High renewable energy penetration introduces significant uncertainties in distribution networks, posing challenges for source-load power forecasting and voltage management. OBJECTIVES: This study aims to e...

A bacia do Tietê/Jacaré é uma das 22 Unidades de Gestão de Recursos Hídricos (Ugrhis) do Estado de São Paulo. Um estudo desenvolvido de 2005 a 2007 detalhou as principais características dessa bacia hidrográfica,...

Abstract In the world of the Internet of Things (IoT), wireless sensor networks (WSNs) play a vital role in enabling seamless communication between connected devices. In a WSN data prediction system based, clustering and...

Downscaling is a critical step to bridge the gap between large-scale climate information and local-scale impact assessments. However, steep and complex mountainous terrain induces highly heterogeneous local-scale meteoro...

Against a backdrop of growing environmental awareness and the need to mitigate climate change impacts, urban spatial planning and management policies inspired by European sustainable development recommendations are gaini...

Abstract Carbon markets play a critical role in emission reduction and sustainable economic transition; however, carbon price series exhibit high volatility, nonlinear dynamics, and complex cross-feature interactions, ma...

BackgroundAtopic Dermatitis (AD) in children is a common chronic skin condition characterized by dry, itchy and inflamed skin. Various treatments have been applied in the management of AD in children, but the differences...

The next generation of tactical networks (TNs) is poised to further leverage the key enablers of 5G and beyond 5G (B5G) technology, such as radio access network (RAN) slicing and the open RAN (O-RAN) paradigm, to unlock ...

This research focuses on developing a neural network model in the Python programming language to solve the technological problem of forecasting potato yields with limited agroclimatic data. The developed program is consi...

ObjectiveTo systematically evaluate the effects of exercise therapies such as aerobic exercise (CAE), Tai Chi (TC), Baduanjin (BDJ), resistance training (RE), Wuqinxi (WQX), yoga (YG), and rehabilitation training (RT) on...

BackgroundMigraine is a common neurological disorder that substantially affects patients’ quality of life. Chinese botanical drug decoctions are used in migraine management; however, the comparative efficacy and safety...

The prediction of suspended sediment concentration (SSC) is of critical importance for the management of aquatic ecosystems, flood control, and erosion assessments. However, the continuous measurement of SSC is technical...

In environmental management, developing a scientific and methodological approach to the design and optimization of technological systems remains a pressing issue. The proposed approach is based on the integration of onto...