The recalcitrant nature of extracellular polymeric substances (EPS) in sewage sludge severely limits dewatering efficiency. While advanced oxidation processes (AOPs) disrupt EPS matrices, their optimization remains challenging. This study integrates ...
PURPOSE: To investigate the usefulness of a machine learning (ML) model that can predict the natural course of childhood myopia in evaluation of the inhibitory effects of 0.125% atropine on the progression of childhood myopia.
BackgroundPatient safety is a critical component of health care systems. Large groups of patients, as a result of medical errors, are at risk of harm. OBJECTIVE: This study evaluated the patient safety culture (PSC) between different work groups in b...
The causes and consequences of inequities in genomic research and medicine are complex and widespread. However, it is widely acknowledged that underrepresentation of diverse populations in human genetics research risks exacerbating existing health di...
World journal for pediatric & congenital heart surgery
Sep 1, 2025
Artificial intelligence and machine learning are rapidly transforming medicine, healthcare, and surgery. Machine learning is a valuable tool for surgeons and researchers in pediatric cardiovascular and thoracic surgery, with innovative applications c...
Although the American Academy of Pediatrics recommends universal lipid screening among children to find cases of familial hypercholesterolemia, such screening is rarely performed. We report the first clinical use of a novel machine learning model (FI...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Ensemble techniques are frequently encountered in machine learning and engineering problems since the method combines different models and produces an optimal predictive solution. The ensemble concept can be adapted to deep learning models to provide...
Comparative biochemistry and physiology. Part D, Genomics & proteomics
Sep 1, 2025
Muscle is one of the most abundant tissues in the human body, and its aging usually leads to many adverse consequences. Zebrafish is a powerful model used to study human muscle diseases, yet we know little about the molecular mechanisms of muscle agi...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
The primary focus of this research is to develop an adaptive output feedback controller designed to minimize a cost-to-go function subject to constraints on input, output, and tracking error for a class of unknown non-affine discrete-time systems. Th...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Graph Neural Networks (GNNs) are widely used to address combinatorial optimization problems. However, many popular GNNs struggle to generalize to heterophilic scenarios where adjacent nodes tend to be with different labels or dissimilar features, suc...
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