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Machine learning has evolved into a potent tool for analysing patterns and making predictions from complex data. In this machine learning era, we employed neural network techniques to estimate the parameters of statistic...

Abstract Credit risk assessment is a critical function in financial analytics, requiring models that can adapt to diverse borrower profiles while providing clear and interpretable insights. Although a range of data drive...

BackgroundCatheter-related thrombosis (CRT) is a common complication following central venous catheter (CVC) placement in patients with cancer, increasing mortality and adverse outcomes. However, robust evidence on optim...

BackgroundMigraine is a common neurological disorder that substantially affects patients’ quality of life. Chinese botanical drug decoctions are used in migraine management; however, the comparative efficacy and safety...

Abstract To investigate the current status of occupational calling among psychiatric nurses, identify its correlated factors, and explore the probabilistic dependencies and network structure using a Bayesian network mode...

ObjectiveThe present Bayesian network meta-analysis (NMA) aims to evaluate and compare the efficacy of aerobic training (AT), resistance training (RT), high-intensity interval training (HIIT), and combined training (CT) ...

Materias / palabras clave: anticoagulation; bibliometrics; cancer; central venous catheter; meta-analysis

Abstract Unmanned Aerial Vehicle (UAV) operations confront complex systemic risks that challenge traditional analytical methods. This paper develops a hierarchical Bayesian Network (BN) to quantitatively model these risk...

Introduction Overweight and obesity are major global public health challenges and increase the risk of type 2 diabetes, dyslipidaemia, hypertension and cardiovascular disease. Exercise is a safe and cost-effective non-ph...

Water Resources Carrying Capacity (WRCC) embodies the fundamental constraint relationship between water resource sustainability and regional economic growth as well as social development, serving as a key indicator for a...

Abstract Background Environmental studies often evaluate how exposures influence health outcomes through intermediate biological processes. In practice, researchers are often interested in complex exposure mixtures rathe...

Abstract Purpose The past two decades witnessed increased use of risk-adjusted standardized measures such as standardized mortality ratios (SMRs) and standardized incidence ratios (SIRs) in institutional comparisons betw...

BackgroundExercise interventions have been increasingly identified as potential non-pharmacological approaches to ameliorate cognitive and behavioural performance among children with Attention-Deficit/Hyperactivity Disor...

BackgroundAtopic Dermatitis (AD) in children is a common chronic skin condition characterized by dry, itchy and inflamed skin. Various treatments have been applied in the management of AD in children, but the differences...

BackgroundThe toxicities associated with immune checkpoint inhibitors (ICIs) can affect nearly all organ systems. Although previous studies have examined specific types of immune-related adverse events (irAEs) associated...

Abstract This model is highly helpful in thermal management and complex energy systems, particularly where precise control over heat and mass transfer is required. Solarized nanofluids can be used to improve heat absorpt...

This study presents a comprehensive approach to nail condition classification using multi-illumination imaging and uncertainty-aware deep learning. We developed a diagnostic system capturing nail images under ten lightin...

Abstract Background Postpartum depression and anxiety are common and burdensome. Physical activity (PA) is a scalable intervention, yet the comparative effectiveness of PA modalities and optimal dosing in the postpartum ...

IntroductionMultiple sclerosis (MS) shows marked female predominance, particularly among women of childbearing age (WCBA, 15–49 years), yet their specific disease burden remains under characterized. Using Global Burden...

Abstract Background Insufficient breast milk production affects 35–90% of lactating mothers globally, representing a critical barrier to WHO exclusive breastfeeding targets. Although Moringa oleifera has traditional ga...

We present a comprehensive study of the pulsating primary component of the long-period binary system RY Lep. The spectral energy distribution and the absence of detectable lines indicate that the companion is likely a w...

We present a statistical analysis of the extremely bright, apparently nonrepeating fast radio burst FRB 20250316A, detected by the Canadian Hydrogen Intensity Mapping Experiment (CHIME), to assess its rarity. Using a mod...

ABSTRACT Background and Aims Postpartum hemorrhage (PPH) is a leading global cause of maternal mortality and morbidity. This study utilizes global burden of disease (GBD) data to assess its long‐term trends in incidenc...

Introduction Hand, foot and mouth disease (HFMD) is influenced by meteorological and air pollution factors. However, few studies have evaluated their joint and interactive effects under real-world multi-exposure conditio...