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Abstract Background Advanced machine learning methods combined with large sets of health screening data provide opportunities for diagnostic value in human and veterinary medicine. Hypothesis/Objectives To derive a model...

ObjectiveThis study examined the association between sleep quality and physical learning engagement among Chinese college students and tested the serial mediating roles of smartphone addiction and self-esteem. Both varia...

Abstract Objectives To develop and evaluate a deep learning model for diagnosing untreated rheumatoid arthritis (RA) using digital camera images of bilateral dorsal hands, benchmarking its performance against the widely-...

IntroductionOsteoarthritis (OA) is a common joint disease characterized by progressive biomechanical deterioration of cartilage tissue. This study aims to develop an explainable ensemble machine learning model capable of...

BackgroundBlended learning has gained momentum in Indian medical education and has the potential to improve access to knowledge and educational outcomes in underserved areas.ObjectiveThis review sought to identify curren...

ObjectiveDespite the widespread use of immune checkpoint inhibitors (ICIs) improving survival outcomes in non-small cell lung cancer (NSCLC) patients, immune-related adverse events (irAEs) triggered by ICIs have become a...

The recent Zero-Trust Architecture (ZTA) is progressively adopted to the develop network security by assuming no implicit trust within or outside an organization’s boundary. Though, ZTA faces substantial challenge...

Unmanned surface vehicles (USVs) operating in open-sea environments experience significant roll motion due to wave-induced excitation. The dynamic roll response depends on various factors, including vessel speed, wave en...

The purpose of this research is to know the difference of mathematical reasoning ability between students using Contextual Teaching and Learning model (CTL) with students using direct learning model. Research type is exp...

Abstract This study investigates whether machine learning effectively processes high-dimensional data, a challenging task for traditional predictive models, to optimize portfolio strategies. Using daily data from Decembe...

The research aims to prove that the use of Kahoot media in the TAI model is able to increase the activity and learning outcomes of students. This study took the form of Classroom Action Research (CAR) and was conducted i...

IntroductionAcute Lymphoblastic Leukemia (ALL) is a hematological malignancy, which is life-threatening and demands rapid and precise diagnosis to either enhance or worsen the survival chances. Traditional diagnostic met...

This research was aimed to know 1) student activity when using missouri mathematics project model, 2) the influence of missouri mathematics project model on students mathematical connection, 3) differences in mathematica...

While physics models for predicting system states can reveal fundamental insights owing to their parsimonious structure, they may not always yield the most accurate predictions, particularly for complex systems. As an al...

Autism spectrum disorder (ASD) is a neurodevelopmental disorder, which seriously affects children’s normal life. Screening potential autistic children before professional diagnose is helpful to early detection and earl...

Sevgi Ünal,1 Remzi Gürfidan2 1Department of Radiology, Izmir Katip Celebi University Ataturk Training and Research Hospital, Izmir, Türkiye; 2Database, Network Design and Management, Isparta University of Applied Scie...

Abstract Background Bacterial diseases include any illness caused by bacteria. Bacteria are tiny microorganisms that can only be seen with a microscope. Other types of microorganisms include viruses, fungi, and some para...

Background: This research is motivated by the gap between the importance of learning Arabic and the difficulties faced by students in learning Nahwu through the Al-Jurumiyah textbook. Purpose To determine the applicati...

The present study analyzes the process and impact of implementing the PjBL model on fifth-grade elementary students’ mastery of Indonesian language materials. The study employed a qualitative approach, with data collec...

Background: Inclusive education poses challenges for Arabic language teaching in pesantren-based madrasas, where student diversity in abilities and backgrounds requires adaptive learning approaches. Purpose: This study...

Background: Arabic learning media using the Articulate Storyline application has not been developed much to improve listening skills.  Objective: This study aims to develop one of the Arabic learning media that can im...

Abstract Artificial intelligence (AI) has transformed social media into a powerful tool for educational learning engagements. WeChat, a Chinese social media platform, is extensively used by students for academic learning...

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...

The national exam results show that students still have difficulty solving PISA standardization questions, reinforcing the reason why Indonesian students' mathematical literacy scores on PISA are still very low. This mat...