Identifying the enzyme functions of proteins and their catalytic residues are vital to our understanding of diverse cellular processes. However, existing frameworks that can concurrently determine the enzymatic functions and active sites of proteins ... read more
Learning to adapt voluntary movements to an external perturbation, whether mechanical or visual, is faster during a second encounter than during the first. The mechanisms underlying this phenomenon, known as savings, remain unclear. Recent studies pr... read more
The widespread use of antibiotics in aquaculture has led to persistent residues in aquatic environments, necessitating the development of sensitive, sustainable, and on-site detection methods. This study presented an intelligent surface-enhanced Rama... read more
BACKGROUND: Older adults facing social or structural marginalization for reasons such as lower literacy, digital exclusion, financial constraints, restricted living environments, or complex health histories, face persistent barriers to much-needed he... read more
Disability and rehabilitation. Assistive technology
May 13, 2026
PURPOSE: With the rapid advancement of artificial intelligence, applications in accessibility design for persons with disabilities are continually expanding. However, the related research remains fragmented, with insufficient evidence regarding the p... read more
The exponential growth of legal documents in Ethiopia has created an urgent need for efficient and accurate automated classification systems tailored to the country's unique linguistic and legal contexts. This study presents an enhanced deep learning... read more
BACKGROUND: Objective radiographic measures of heart size including vertebral heart size (VHS) and vertebral left atrial size (VLAS) are associated with inter and intra-observer variability when measured by humans. Artificial intelligence (AI) tools ... read more
International journal of neural systems
May 13, 2026
The efficient online decomposition of high-density surface electromyogram (HD-sEMG) into motor unit spike trains (MUSTs) remains a substantial challenge. In this study, a novel deep learning (DL) framework is presented. The framework leverages a hybr... read more
BACKGROUND: Digital stethoscope has been introduced to clinical practice and are developing in many aspects. Overwhelming pandemic requires non-contact healthcare support, and recent growth of artificial intelligence necessitates high-quality data co... read more
Generative adversarial networks (GANs) offer potential in cross-modality image translation, but their application in pituitary adenomas remains uncertain. This study was to assess the feasibility of a GAN-based deep learning algorithm for generating ... read more
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