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Abstract The objective of this study was to describe the positivity of intestinal parasitosis in cats from the city of Jataí, Goiás, as well as to determine the accuracy of different parasitological techniques applied....

Education is a vital need for humans; however, high education costs often become a barrier for students, particularly those from underprivileged backgrounds. Although scholarships offer an alternative solution, scholarsh...

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. ...

This work primarily focuses on diagnosis of heart disease before explicit visit to the expert doctor. Machine learning based systems have been found useful in medical diagnosis applications because of their ability to le...

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...

An in‐situ microscopic analysis of the damage mechanisms of ferritic ductile iron under uniaxial tensile testing is carried out in this work. The experimental methodology combines specialized metallography techniques, ...

Quality models for software architecture are taxonomies of quality attributes, commonly used to specify and evaluate nonfunctionalrequirements. Most quality models offer a two-level approach, distinguishing externally ob...

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...

Biocompatibility testing for a new implant material is necessary before clinical use. The materials for bone scaffolding must also go through biocompatibility tests both in vitro and in vivo. The purpose of this study wa...

Designing and evaluating user interfaces is a complex task. The current focus on user experience (UX) demands user-centered processes that take considerable time and resources, and thus collide with the fast-paced agile ...

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...

En este trabajo se presenta un estudio sobre la conmutación de la resistencia eléctrica en dispositivos formados por estructuras metal - óxido - metal. Se estudiaron dos óxidos paradigmáticos por el tipo de mecanism...

A couple of key test technologies for dynamic centrifuge modeling and the permanent deformation responses of saturated clay to cyclic loading are introduced. The rigid pavement is used in the model system. The subgrade b...