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Abstract The complexity of student social adaptability development mechanisms in the context of physical education reform urgently requires in-depth exploration. Grounded in self-determination theory as the primary theor...

Objectives: Indirect immunofluorescence (IIF) on HEp-2 cells is the gold standard for antinuclear antibody (ANA) screening, followed by antigen-specific confirmation using immunoassays such as immunoblot (IB) and ELISA. ...

Abstract Antimicrobial resistance and emergence of MDR and XDR Salmonella enterica subsp. enterica serovar Typhi is a major threat in Pakistan. Failure of treatment with conventional antibiotics leads to importance of ex...

Vaccination is widely used to control foot-and-mouth disease (FMD), necessitating robust approaches for evaluating vaccine potency to ensure a consistent supply of effective and safe vaccines. Traditional (in vivo) poten...

Abstract Accurate prediction of compressive strength is important for the efficient design of sustainable concrete incorporating palm oil fuel ash (POFA). This study developed a hybrid artificial neural network model opt...

Context. A growing number of white dwarfs (WDs) exhibit one or more signs of remnant planetary systems, including transits, infrared excesses, and atmospheric metal pollution. WD 1054-226 stands out for its unique, highl...

The effect of imbalanced data on the optical character recognition of Braille text is investigated by applying two techniques to a set of convolutional neural network image classification models. A multilabel classificat...

Traditional malware detection techniques frequently fail to detect and stop malicious activity in an era where cyber threats are becoming more complex. Any software that enters a computer system without the administrator...

Skin lesions are one of the most prevalent form of diseases existing among us. Early detection and classification of potentially malignant skin lesions can give us a lead in the fight against skin cancer. There are many ...

Nanofluids based on transformer oil have emerged as promising candidates for improving insulation performance in high-voltage equipment. This study investigates the influence of TiO2 nanoparticles on the dielectric stren...

BackgroundThe ESKAPEE pathogens Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, Enterobacter spp. and Escherichia coli are the leading causes of nosoco...

Abstract The deep reinforcement learning techniques offers a novel approach to real-time control for hybrid power flow controllers. This paper introduces a bus voltage optimization adjustment strategy, utilizing a Markov...

Artificial intelligence (AI), including machine learning, deep learning, reinforcement learning, and generative AI, has the potential to advance critical care nephrology (CCN) by enhancing prediction accuracy, improving ...

Federated learning (FL) is a decentralized machine learning (ML) approach that can be used for intrusion detection in Internet of Things (IoT) devices. It involves the local training of AI models and their aggregation at...

Abstract Building energy consumption is dominated by lighting and heating, ventilation, and air conditioning (HVAC) systems, whose operation is often inefficient due to inadequate control strategies and unreliable occupa...

Abstract Chronic wound analysis is crucial for effective wound care, necessitating precise and efficient segmentation techniques. This study explores the use of YOLOv8 and YOLO11, renowned deep learning algorithms for ob...

Abstract Accurate specimen preparation is essential for biomechanical push-out testing of bone–implant interfaces. A common source of error arises when implants such as pins or screws are not cut exactly perpendicular ...

BackgroundChildhood obesity represents a significant global public health challenge. Accurate and rapid prediction models for identifying obesity risk in children and adolescents are essential for facilitating early prev...

The development of miniaturized, flexible MEMS pyrotechnic devices necessitates advanced fabrication techniques. Herein, a strategy is reported that leverages the integration of ink-jet printing and dynamic cross-linking...

Amid growing water crises, climate change, and intensified human activities, there is an urgent need to assess water conditions from an ecological perspective. This study evaluated Water Security with an Ecological Lens ...

BackgroundGestational diabetes mellitus (GDM) is an increasingly important contributor to maternal and neonatal morbidity in Africa, yet the evidence base remains fragmented across settings and research domains. This stu...

IntroductionWellness encompasses multiple dimensions that vary across populations, particularly among Saudi women, whose experiences are shaped by cultural, social, and religious factors. These factors shape the way well...

Abstract Purpose This study introduces a new Convolutional Neural Network (CNN) architecture, EyeDiagNet, for the classification of fundus images into four classes: normal, cataract, diabetic retinopathy (DR), and glauco...

Wireless network expansion needs intelligent solutions that combine energy-conscious operations with the maintenance of performance levels. This study presents an eco-friendly wireless ad hoc network framework that combi...