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The conventional experimental methods can no longer satisfy the requirements of modern higher education in medical sciences. As a result, the integration of scientific research into experimental curricula has become more...

With the advent of the need for interactive systems, the urgent need for time-sharing systems has emerged. Round-robin algorithms have emerged to achieve time-sharing. The degree of performance of time-sharing systems de...

Abstract The increasing availability of positional data in invasion sports like football drives the development of advanced performance metrics. Two widely adopted examples are space control, which quantifies spatial inf...

Face-recognition technology is one of the most important advancements in the field of computer vision. They play a crucial role in many applications, including biometric authentication, surveillance, online security, and...

Though the complimentary concepts of safety culture and safety climate have become increasingly popular over the past three decades, they have only infrequently been central to research designed to examine the empirical ...

Additive manufacturing (AM) is a rapidly growing industrial fabrication technology. It provides engineers with a growing library of advanced materials, ranging from thermoplastics to metals and cement-based composites, e...

Amphibians are considered one of the groups most susceptible to chemical contamination, therefore are good bio-indicators of aquatic pollution. Synergistic effects of temperature and pesticides have been found in amphibi...

No Nordeste Paraense alguns agricultores familiares têm implantado pequenas áreas de pastagens e manejado pequenos rebanhos com o objetivo de aplicar eventuais ganhos obtidos com os cultivos, criando uma poupança a se...

ObjectivesThis article proposes a specific program of sequences of combinations of movements (SCM) based on motor development stages (MDS) to optimize the sports performance of elite professional athletes (EPAs).DesignNa...

Abstract Background Cold water immersion (CWI) is a common method of post-exercise recovery, but the optimal protocols are not well understood. The lack of exercise-specific guidelines has caused confusion on how CWI sho...

La comunicación pública de la ciencia se está convirtiendo cada vez más en una actividad esencial en el quehacer científico, no solo para reducir la distancia entre el sistema científico y la sociedad, sino tambié...

Timetable management is a controversial but core administrative activity at tertiary learning institutions, normally saturated with timetabling clashes, resource wastage, and communication breakdowns. This study describe...

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...

Background and Study Aim. Anthropometric characteristics are commonly considered important determinants of performance in basketball. Variations in body size and composition may influence the execution of fundamental tec...

Abstract The remaining useful life (RUL) prediction of mechanical products has been widely studied for online system performance reliability, device remanufacturing, and product safety (safety awareness and safety improv...

Organizational climate is a macro-level factor that shapes science, technology, engineering, and mathematics (STEM) participation, particularly among students from diverse historically excluded groups. To revise understa...

Introduction: The American College of Radiology (ACR) Bone-Reporting and Data System (Bone-RADS) gave a structured framework for assessing and reporting bone tumours. Aim: To evaluate the diagnostic performance of the...

ABSTRACT Deep learning profoundly impacts various areas, such as face recognition and language translation. Owing to the increasingly high computational costs of training neural architectures, it is intractable to manual...

The asphalt industry faces growing challenges from stringent greenhouse gas (GHG) reduction mandates and diminishing high-quality virgin material reserves. This review paper positions upcycling as the engineered transfor...

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...

The main purpose of this paper is to create a palmprint recognition system (PPRS) that uses the curvelet transform and co-occurrence matrix to recognize a hand's palmprint. The suggested system is composed of several st...

E-commerce companies face fierce competition. For e-commerce companies to succeed, they must keep and attract customers by offering them the best affordable services. Taking appropriate and timely actions to keep custome...

Abstract The rising complexity of urban areas, along with growing public safety needs, has made intelligent video surveillance systems more essential. The current surveillance systems that rely on human observation and p...

IntroductionWe address moral uncertainty in reinforcement learning (RL) by proposing a framework that integrates multiple ethical theories into decision-making. Existing approaches rely on single moral frameworks or hand...