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Abstract Financial time series forecasting is traditionally based on historical price patterns, often overlooking exogenous and behavioral variables that can significantly affect market movements. In this study, we enhan...

IntroductionVisual electrophysiology, including electroretinograms (ERG) and visual evoked potentials (VEP), provides a real-time functional assessment of retinal and post-retinal pathways, complementing structural imagi...

Spiking neural networks (SNNs) offer a biologically inspired, energy-efficient alternative to conventional artificial neural networks (ANNs). However, deep SNNs struggle to process complex EEG signals because their spike...

Abstract Background Signal divergence and sensory preferences may cause reproductive isolation and eventually speciation between animal populations. These patterns are particularly well known in systems with acoustic or ...

Abstract Background Abrupt declines in vegetation productivity risk irreversible transitions. However, the magnitude of such declines (abruptness)—a key determinant ranging from nonlinear reversible transitions to nonl...

Power transformers are critical components of power systems, and their safe and reliable operation is essential for both industrial and residential applications. Real-time condition monitoring and early fault detection a...

Abstract The current work on emotion recognition considering EEG signals has attracted significant attention due to its advantages in fields like mental health, neural computing, and human-computer interaction. Nonethele...

Abstract Accurate classification of phonocardiogram (PCG) signals is vital for the early detection of cardiovascular diseases (CVDs), a leading cause of global mortality. However, conventional machine learning and deep l...

Abstract Production safety and efficiency depends on the reliability of the critical components in industrial equipment. However, signals measured by sensors may have complicated nonlinear and long-term sequential dynami...

Background: As athletes develop, their motor patterns evolve from variable to adaptive neuromuscular control strategies, enabling precise execution of complex movements. Traditional linear biomechanical analyses of wrest...

Abstract The Response Regulator (RR) gene family functions as a molecular “switch” in plant signal transduction, with TOC1 (PRR1) frequently acting as a transcriptional repressor that integrates both internal and ext...

Abstract The importance of fear level detection in affective computing using physiological signals has not been extensively explored. Accurately detecting fear responses facilitates real-time emotional monitoring and imp...

IntroductionWe address moral uncertainty in reinforcement learning (RL) by proposing a framework that integrates multiple ethical theories into decision-making. Existing approaches rely on single moral frameworks or hand...

To detect internal valve leakage in liquid-filled pipelines, a method using kernel principal component analysis (KPCA) is proposed to analyze acoustic emission (AE) signals for leakage detection. Time-frequency analysis ...

Abstract BackgroundWith the advent of new vaccines, including the COVID-19 vaccines introduced during the recent pandemic, the need for near real-time active surveillance has increased to support timely regul...

IntroductionThere has been increasing attention to differences in function along the hippocampal long axis, with the posterior hippocampus proposed to have more variable signals that are well-suited to representing idios...

The invasive brain-computer interface (BCI) is a method that involves implanting microelectrodes into brain tissue to collect neural electrical signals. The signals obtained through this method are often of high precisio...

Abstract Excitons play a crucial role in optical properties of two-dimensional materials. While significant progress has been made in understanding exciton dynamics on femtosecond timescales, the microscopic details of t...

Grey wolves (Canis lupus) rely on olfaction to communicate and acquire information about their environment. Olfactory signals delivered via urine, faeces, and glandular secretions, serve critical functions in reproductio...

Intelligent tire systems (ITS) enable direct sensing of tire and road interaction using sensors mounted inside the tire, providing information that is difficult to obtain from conventional vehicle-mounted sensors. Howeve...

IntroductionRecent research has highlighted the role of the gut microbiome in shaping the development and function of the mammalian immune system. Interactions between these complex networks of microbes and host cells se...

BackgroundThe toxicities associated with immune checkpoint inhibitors (ICIs) can affect nearly all organ systems. Although previous studies have examined specific types of immune-related adverse events (irAEs) associated...

Abstract Handwriting brain-computer interfaces (BCIs) have enabled high performance brain-to-text communication for paralyzed individuals. However, the detailed parameters of handwriting movement and their cortical repre...

This describes a low-energy voltage level shifter (LS) architecture. We further introduce a regulated cross-coupled (RCC) pull-up network to achieve a considerable reduction in dynamic power consumption with higher switc...