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Background and Study Aim. Performing arts students, particularly musicians, face significant physical strain because of prolonged static postures and repetitive fine motor activity. These factors predispose them to perfo...

Creativity and innovation in ludruk need to be done because this traditional art is already on the verge of extinction. The lack of regeneration of interested young people and changes in people's tastes are the dominant ...

The application of Artificial Intelligence (AI) in project management is transforming decision-making processes, enhancing task execution, and improving risk management. This study aimed to elucidate the challenges raise...

Automatic movement recognition is often used to support various fields such as clinical, sports, and security. To date, there is a lack of a classification feature that is both interpretable and not movement-specific. Pr...

Abstract Background Some studies regarding patients complaining of residual pain after total knee arthroplasty (TKA) showed pain scores improvement using genicular nerve radiofrequency ablation (GNRFA). This prompted the...

Abstract Background Limited evidence exists on the prescription patterns of combination antiretroviral therapy (cART) and their effectiveness in achieving HIV-1 viral suppression. This study evaluated pre-conflict prescr...

Abstract Background Chronic subdural hematoma (cSDH) is a prevalent neurological condition with a significant incidence and mortality rate, particularly among elderly individuals. Despite various treatments, the risk of ...

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...

Abstract This study introduces two recently developed bio-inspired metaheuristic algorithms, Artificial Protozoa Optimizer (APO, 2024) and Dung Beetle Optimizer (DBO, 2023), into long short-term memory (LSTM) networks fo...

Abstract BackgroundMultimodal large language models (MLLMs) capable of integrating visual and textual information represent a promising advancement for clinical applications requiring image interpretation. Wo...