Previous studies showed estimated prevalence of diet non-adherence among maintenance hemodialysis patients ranged from 10.6 to 60.2\%. Aside from the varying range of diet non-adherence worldwide, there is no gold-standard in defining diet non-adherence which emphasizes the need to look into various...

Breast ultrasound imaging plays a crucial role in early breast cancer screening and diagnosis due to its noninvasive nature and cost-effectiveness. However, accurate lesion segmentation remains challenging because of severe speckle noise, low contrast, and blurred tumor boundaries. To address these...

Fatigue driving is widely recognized as one of the major factors contributing to traffic accidents, posing not only a serious threat to road safety but also potential risks to drivers’ health and public security. With the rapid development of modern transportation, how to efficiently and accurately...

The growth of distributed, institutionally siloed data has created demand for analytics frameworks that ensure privacy, interpretability, and real-time decision support. While federated learning enables decentralized model training without raw data sharing, most existing approaches rely on opaque ne...

In this paper, we present a modified three-point superclass of Block Backward Differentiation Formula (BBDF) for the efficient numerical solution of stiff systems of ordinary differential equations (ODEs). The principal enhancement of this work is a structural modification of the classical BBDF that...

In this paper, we develop a mathematical model for juvenile delinquency transmission dynamics by incorporating key control strategies, namely precautionary measures, public education, and intervention programs. The model aims to identify effective prevention and control measures for curbing the spre...

Mineral exploration faces challenges from complex geological architectures and subtle geophysical expressions of mineralization. This study proposes a joint gravity–magnetic machine learning framework integrating magnetic anomaly, analytic signal, gravity, and Source Parameter Imaging depth estimate...

Using balanced panel data for 30 Chinese provinces from 2005 to 2022, this study investigates the impact of green finance (GF) on low-carbon economic development (LCE), with particular attention to the moderating roles of green technology innovation (GTI) and government intervention intensity (GII)....

To address the core challenges identified in the course "New Technologies in Water Technology and Engineering"—specifically, the abstract nature of theoretical knowledge, limited relevance of existing case studies, and inadequate development of practical competencies—a customized teaching case libra...

Accurate liver segmentation from three-dimensional (3D) computed tomography (CT) volumes is a critical step in computer-aided diagnosis, surgical planning, and disease quantification. Despite substantial progress in deep learning, achieving robust and generalizable liver segmentation remains challen...