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The paper analyzes the process of implementing IPSAS 23 “Revenue from Non-Exchange Transactions” in the Romanian public sector, focusing on the city halls in the Jiu Valley region. The research aims to identify the...

Abstract Objective Medical education aims to prepare future physicians for high-quality patient care. This prospective study examines the perceptions of medical students and clinical teachers with regard to teaching in o...

Abstract Microplastic pollution in freshwater is a global concern, yet field monitoring often lacks standardization, hindering data comparability and analysis. This systematic review bridges the gap between lab findings ...

ABSTRACT Background and Aims This study explored the practical perspectives of healthcare professionals in Jordan regarding integrating artificial intelligence (AI) tools into clinical practice and describes their concer...

Abstract Background Electrical stimulation of cell culture systems has shown significant potential benefits, attracting growing interest in bioelectrical research and tissue engineering. However, implementing effective s...

Transformer-based protein language models (PLMs) learn meaningful representations from millions of unlabeled sequences, capturing evolutionary patterns and functional relationships. Recent advances include ESM-2’s syst...

Abstract Background Discordance between small dense low-density lipoprotein cholesterol (sdLDL-C) and low-density lipoprotein cholesterol (LDL-C) levels is common. Whether this easily calculated parameter, derived from r...

Abstract Background The lack of systematic aesthetic education in prosthodontics training leaves undergraduate interns inadequately prepared to manage patients with aesthetic demands. To enhance the theory knowledge and ...

Abstract Background Digital teaching methods are established for imparting theoretical knowledge in the training of health professions. While digital formats are increasingly used in education, evidence on their capacity...

Implicit learning is a fundamental cognitive process whose identification is critical for understanding human cognition and developing innovative training methodologies. We propose a generalizable feature selection and s...

Abstract Traffic flow prediction is a fundamental building block for Intelligent Transportation Systems (ITS), enabling proactive congestion mitigation, adaptive traffic signal control, and reliable route guidance. Howev...

Importance: Medical time series constitute the largest data type in electronic health records and are often irregularly sampled in real-world clinical settings. Such irregularly sampled medical time series exhibit uneven...

Abstract The computation of optimal routes considering multiple factors is a key challenge in operations research, with significant impact on practical decision-making and real-world efficiency. Optimal bus transit route...

Abstract The article presents an interdisciplinary study examining the environmental and economic implications of introducing low-carbon fuels in coastal shipping. The main focus is on the comparison of alternative energ...

Abstract Globally, shrimp aquaculture is a vital source of food, but disease outbreaks present serious economic challenges. Traditional diagnostic techniques, such as visual inspection and polymerase chain reaction (PCR)...

Abstract Per- and polyfluoroalkyl substances (PFAS) and microplastics (MPs) are certain types of persistent plastic contaminants that are a cause of concern to both the ecosystems and human health. The nanotechnologies o...

Abstract Objective Accurate preoperative stone size assessment is crucial for predicting outcomes after percutaneous nephrolithotomy (PCNL), yet a gap persists between the accurate but impractical gold standard (3D softw...

This paper proposes a reading of Fichte’s Outline of What is Distinctive of the Wissenschaftslehre with regard to the Theoretical Power as a response to Jacobi’s philosophy of belief, particularly as presented in his...

Abstract The application of Bayesian statistics in pivotal clinical trials has gained increasing attention, particularly for underpowered confirmatory trials such as those in pediatric and rare disease populations. Bayes...

Introduction. The stability of grid-connected inverters is critical for the integration of renewable energy into modern power systems. However, this stability is significantly challenged under weak grid conditions, chara...

Nonlinear response conception in rotating machinery, particularly in systems with squeeze film dampers (SFDs), pose significant challenges for established time-domain numerical methods due to bifurcations and critical po...

Abstract The explosion of patient data, the demand for real-time insights, and the critical importance of data security drive healthcare innovation. Medical Internet of Things (IoMT) offers a promising solution, connecti...

Abstract Background Delayed ambulation recovery following major abdominal surgery presents a significant prognostic challenge, contributes to increased morbidity, mortality, and prolonged hospital stay. Despite recommend...

Abstract Background Thoracic surgery involves complex diseases and critically ill patients, demanding doctors to integrate solid theoretical knowledge with practical skills. Clinical medical students, however, often stru...