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Problem. The reliability of detachable electrical contact connections is significantly reduced due to an increase in transition electrical resistance caused by thermomechanical deformations, oxidation of contact surfaces...

Abstract Background Electrical stimulation of cell culture systems has shown significant potential benefits, attracting growing interest in bioelectrical research and tissue engineering. However, implementing effective s...

This study develops five predictive models based on regression trees to estimate the Effective Electrical Conductivity (CEE) of irrigation water in the Green Belt of Mendoza, Argentina. Using 468 water samples and physic...

Abstract Background Effective strategies for managing ischemia-reperfusion injury in acute myocardial infarction remain limited, despite advances in reperfusion therapy. Transcutaneous electrical nerve stimulation (TENS)...

Abstract This study explores the valorization of ceramic waste (CW) and waste tire particles in the development of eco-friendly cementitious tiles for outdoor roof shielding applications. CW, sourced from industrial bypr...

This study investigates the long-term aging effects and structural degradation mechanisms of photovoltaic (PV) modules integrated into smart city furniture, with a particular focus on panels of 10 W, 25 W, and 40 W nomin...

B16F10 cells are a murine melanoma cell line characterized by high metastatic potential and resistance to various treatments. Studies indicate that cancer can cause significant alterations in the heart's electrical condu...

Abstract Preterm birth (PTB) affects an estimated 15 million infants worldwide each year, raising an enormous challenge in the field of maternal-fetal medicine. This work explores machine learning approaches for disting...

This paper presents an innovative methodology for modeling and predicting high-frequency harmonic losses in the rotating field of an electrical machine powered by a frequency converter. Conventional approaches are often ...

Abstract Precise control of electrical properties in conductive micro-structures is essential for the performance and reliability of micro-electro-mechanical systems (MEMS). However, the nature of anisotropic physical va...

ARM-based systems are widely deployed in edge and IoT settings, where penetration-testing tools must operate under strict memory, power, and thermal constraints, yet prior work offers limited deployment-oriented guidance...

This paper presents the design and experimental validation of a two-dimensional (2-D) circularly cylindrical phased array antenna with integrated wide-angle beam-switching capability for multibeam radiation in the Ku-ban...

This paper proposes a novel wireless power transfer system that integrates full-duplex communication functionality with negligible crosstalk between coupling coils. The system employs an LCC circuit as the overall topolo...

Electric vehicles are currently the leading solution in the automotive market to reduce greenhouse gas emissions. However, transitioning from traditional internal combustion engines poses many challenges. One of these ch...

Abstract Microstrip filters are widely employed in radio fre-quency and microwave circuits due to their efficiency, easy fabri-cation, and compatibility with printed circuit board technologies. In this scenario, this wor...

Modern edge–cloud deployments integrate devices, edge servers, private networks, and cloud platforms into heterogeneous, multi-layer systems. Each layer exposes distinct metrics, measurement granularities, and tim...

Abstract This manuscript presents the feasibility of designing a digital Lock-In Amplifier (LIA) for measuring experimental sys-tems through optical measurement techniques, from 32-bit micro-controller platforms, derived...

Introduction. Reliable and accurate state estimation plays a central role in mobile robotics, ensuring effective localization, navigation, and control in uncertain and dynamic environments. Traditional estimation methods...

Forest growth and yield projection is essential for sustainable forest management planning. In Brazil, the Clutter model is widely applied for yield forecasting and commonly achieves prediction errors below 10%. However,...