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Abstract This work introduces a metaheuristic (MH) optimization method, which is inspired by the red-tailed hawks’ predatory behavior is Improved Red-tailed Hawk (IRTHA) Algorithm. The algorithm uses a dynamic adjustme...

Abstract This study presents an integrated low-cost IoT-based evaluation framework assessment of photovoltaic (PV) modules enhanced using low-cost planar reflectors, supported by a custom IoT-based data logging system fo...

The present study examines the effect of differentiated social studies supported by hypermedia e-modules on the development of sustainable social attitudes among elementary students. A quasi-experimental design with a pr...

The present study examines changes in PGSD students’ ability to design local wisdom-based social studies modules after participating in Project-Based Learning (PjBL). The study employed a quasi-experimental one-group p...

IntroductionRapid advances in digital technology have significantly increased the auditing industry's demand for interdisciplinary talent. However, current digital-intelligent auditing courses in higher education still f...

Abstract India’s ambitious renewable energy targets and its vision for energy self-reliance critically depend on a resilient and competitive solar photovoltaic (PV) manufacturing ecosystem. However, India’s heavy rel...

Chest X-ray (CXR) interpretation is essential for diagnosing pulmonary diseases, yet manual reading remains slow and prone to human error, especially in high-volume or resource-limited settings. To address delayed diagno...

This study compares seven quantum algorithms—Variational Quantum Eigensolver (VQE), Variational Quantum Deflation (VQD), Quantum Approximate Optimization Algorithm (QAOA), Quantum Amplitude Estimation (QAE), Quant...

This study investigates the long-term aging effects and structural degradation mechanisms of photovoltaic (PV) modules integrated into smart city furniture, with a particular focus on panels of 10 W, 25 W, and 40 W nomin...

Abstract Women in Samoa experience a high rate of intimate partner violence (IPV) shaped in part by a history of colonisation and its influence on gender roles and lived experiences. As part of the EVE Project to improve...

BackgroundDigital health interventions (DHIs) often struggle with participant engagement. A stepped care approach, starting with low-resource intensity strategies and escalating as needed, can optimize resource use. Yet ...

In the Malaysian concurrent tyre retailing industry, most of the business activities are carried out in the traditional labour-intensive ways. This manual process is prone to inefficiencies, increases operating costs and...

Abstract Graph Neural Networks have emerged as a powerful paradigm for artificial intelligence driven drug discovery, offering molecular representation learning that surpasses many conventional approaches. Traditional ex...

Abstract Background The rising global aging population has increased the prevalence of Alzheimer’s disease (AD), a condition with limited treatment options, making non-pharmacological interventions essential. While mob...

Abstract The global challenge of effectively cultivating clinical thinking in medical students persists, often hindered by traditional textbooks that present knowledge in a linear sequence disconnected from the non-linea...

Abstract This study proposes a need-driven framework for the modular design of functional armchairs for young adults living alone. It aims to establish a systematic linkage among user-need priorities, functional organiza...

Abstract Heterogeneous graphs are widely employed in applications such as social networks, recommendation systems, and bioinformatics. However, node attributes in real-world heterogeneous graphs are often missing or corr...

Abstract Epilepsy is a chronic neurological disease that profoundly impacts patients’ daily lives. Electroencephalography (EEG) serves as a crucial tool for the clinical diagnosis of epilepsy and other brain disorders....

Abstract Background Optimization of biotechnological processes is traditionally limited by time-consuming trial-and-error approaches and the complexity of simultaneously optimizing multiple, often conflicting objectives....

Manual monitoring of intravenous (IV) therapy is labor-intensive and susceptible to human error, posing risks to patient safety. Existing computer vision-based approaches have addressed either drip rate estimation or flu...

Abstract Early small fires in coal mines are of critical importance for mine safety, as most incidents begin as small fire sources. These fires essentially constitute a task of small-object detection. Detecting such targ...

Chemotherapy-induced gastrointestinal dysfunction (CIGD) is a multifactorial clinical syndrome that substantially limits treatment tolerance, continuity, and quality of life in patients with cancer. Although targeted the...

Abstract Photo-redox catalysis has emerged as a new generation of biochemical protocols in proximity labeling, noninvasive therapy, ultrafast activation. However, the well-developed photocatalysts cannot simultaneously p...

Dairy farms increasingly deploy sensor networks that generate high-frequency behavioral and spatial data, yet translating these multimodal streams into actionable welfare insights remains a key challenge. This study pres...