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Materie / parole chiave: Medicina

Clinical narratives in electronic health records (EHRs) are a key source of information in mental health care, but their unstructured nature limits systematic analysis. We propose an NLP framework to extract therapeutic ...

Abstract Detecting epileptic seizures from electroencephalogram (EEG) signals presents a significant challenge due to the nonlinear and non-stationary nature of brain activity. In this study, we propose a hybrid classifi...

Electroencephalography (EEG) is a crucial technique for interpreting neurocognitive functions and the underlying neural information. Despite its advantages, such as high portability, cost-effectiveness and exceptional te...

Abstract In the era of intelligent systems and data-driven technologies, making precise and reliable decisions under uncertainty has become increasingly vital. The primary aim of this study is to tackle decision making (...

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...

The Internet of Things (IoT) has emerged as a large-scale ecosystem that integrates sensing, communication, and computation across diverse application domains. Its deployment spans smart homes, wearable devices, industri...

Free-space optical (FSO) communication using dual-polarization self-coherent (DP-SC) transceivers is a promising solution for achieving high data rates and enhanced spectral efficiency in the next optical wireless system...

Abstract This work investigates the impact of a generalized quadratic-cubic form of self-phase modulation together with nonlinear chromatic dispersion on perturbed quiescent optical solitons governed by the Fokas–Lenel...

Abstract In the present study, we examine how optical solitons behave in a synthetic nonlocal nonlinear medium. An analytical investigation is conducted into the nonlinear dynamical model that represents the propagation ...

Abstract In this paper, we investigate the dynamical behaviour and soliton solutions of the M-fractional Kairat-II equation. Initially, soliton solutions are obtained using the new extended direct algebraic method. To en...

Abstract Emotion recognition is fundamental to building socially intelligent robotic systems capable of effective and adaptive Human-Robot Interaction (HRI) and Collaboration (HRC). This literature review synthesizes rec...

Early defect detection in pipelines is critical across industries, particularly in the oil and gas sector, where failures result in significant maintenance costs and operational disruptions. Acoustic guided-wave techniqu...

Abstract Background Machine learning methods are widely used to detect behavioural data patterns. Although these new mathematical methods are useful tools, the interpretation of the results are often ambivalent unless ...

Multimodal data integration is increasingly central to neuroscience and perception science, where heterogeneous signals such as behavioral responses, sensory inputs, electrophysiological recordings, neuroimaging measurem...

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 ...

Background: Cardiac complications arising from diabetes mellitus manifest as structural and functional myocardial alterations independent of traditional cardiovascular risk factors. The intricate molecular underpinnings ...

Abstract Neural circuits construct internal ‘world-models’ to guide behavior. The predictive processing framework posits that neural activity signaling sensory predictions and concurrently computing prediction-errors...

Colorimetric assays offer a low-cost, accessible means of diagnostic testing but often suffer from subjective interpretation and variability caused by inconsistent imaging conditions. To address these challenges, we pres...

Chitooligosaccharides (COS) and fully N-acetylated chitooligosaccharides (NACOS) differ in degree of acetylation (DA), yet their anti-inflammatory activities remain unclear. This study evaluated COS and NACOS with define...

Dietary exposure to carcinogenic compounds generated during meat processing represents a critical yet underexplored component of the African cancer exposome. Traditional high-temperature cooking methods, including smokin...

Abstract Epilepsy is a chronic neurological disease that profoundly impacts patients’ daily lives. Electroencephalography (EEG) serves as a crucial tool for the clinical diagnosis of epilepsy and other brain disorders....

BackgroundMetabolic syndrome (MetS) affects approximately 1.54 billion adults worldwide and is characterized by central obesity, insulin resistance, hypertension, and dyslipidemia. Chronic low-grade inflammation is cen...

Abstract Background Enhancing nitrogen use efficiency (NUE) is essential for sustainable agriculture. Stress response pathways play a significant role in regulating NUE across various growth stages and organs. Therefore,...