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Abstract Purpose This study aimed to identify the effectiveness of free water MRI (FW-MRI) features for predicting amyloid-beta (Aβ) statuses in Alzheimer’s disease (AD) by constructing diagnostic models using machine...

Abstract Individualized educational management cannot be avoided in meeting various learner needs in cases where teaching strategies are changed in line with the performance trends and preferences of students. Reinforcem...

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...

Abstract Background This study aims to explore spatial heterogeneity within tumors, establish and validate an interpretable machine learning model combining habitat radiomics and deep learning, and investigate its predic...

Abstract Early and reliable smoke detection is critical for preventing fire-related disasters, safeguarding human lives, and ensuring infrastructure safety. Conventional sensor-based systems, however, are often constrain...

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 study aims to develop a Project-Based Learning (PBL) blended learning strategy to enhance the human literacy skills of students taking Citizenship Education in higher education. The research uses the Research & Devel...

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...

ABSTRACT Background and Aims De novo drug design is the process of generating novel lead compounds that possess desirable pharmacological activities and optimal physicochemical properties for therapeutic development. In ...

Abstract Introduction This study aimed to develop a deep learning-based system to automatically assess patient positioning compliance in chest radiographs, focusing on cervical spine visibility, scapular overlap, and cos...

Background: Arabic language learning in madrasah often encounters challenges due to the complexity of the language and the suboptimal teaching methods applied. Purpose: This study aims to explore the perspectives, mot...

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...

This study aimed to evaluate the performance of deep learning models for segmenting the augmented bone following transalveolar sinus floor elevation (TSFE). Cone-beam computed tomography (CBCT) data from 103 patients und...

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...

Learning independence among students is still low. It can be seen from the students being less active in finding learning resources and only waiting from the lecturers, from the task of making learning media given by stu...

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...

The article highlights brief theoretical aspects of the origin of distance learning tracing the experience of foreign counties as well as Ukraine’s practice in this regard. The paper outlines practical and social aspec...

Intelligent tire systems (ITS) enable direct sensing of tire and road interaction using sensors mounted inside the tire, providing information that is difficult to obtain from conventional vehicle-mounted sensors. Howeve...

Abstract Canine gait analysis using wearable inertial sensors is gaining attention in veterinary clinical settings, as it provides valuable insights into a range of mobility impairments. Neurological and orthopedic condi...

Background and objectives: The multiple chest x-ray datasets released in the last years have ground-truth labels intended for different computer vision tasks, suggesting that performance in automated chest x-ray interpre...

Background: A large part of physiotherapy clinical training is situated in the workplace. Learning in an authentic environment is supported by facilitators. Objectives: This study focussed on the perceptions and unders...

The mode of teaching and learning had been drastically changed over the decades. Therefore, one approach might not fit into all scenarios. Collaborative learning promotes collaboration between the students in completing ...

Abstract The glass transition temperature ( $$\:{T}_{g}$$ ) is a pivotal parameter for amorphous polymers, influencing their behavior under different thermal properties. Assessing $$\:{T}_{g}$$ is crucial for evaluating ...