Spatiotemporal prediction of urban traffic crashes is an important basis for proactive safety management, yet many existing models have difficulty capturing both temporal dynamics and spatial dependence in an interpretable way. This study develops a ... read more
Accurate prediction of soil potentially toxic metals (PTMs) and identifying their relationships with environmental drivers is essential for environmental risk management in dust-affected areas of central Iran. Aluminum, copper, nickel, and manganese ... read more
This study aimed to compare four commonly used machine learning techniques, Support Vector Machine (SVM), XGBoost, Long Short-Term Memory (LSTM), and a Hybrid Transformer, for predicting non-contact lower limb and lower back injuries in female varsit... read more
Focal to bilateral tonic-clonic seizures (FBTCS) is a severe form of seizure associated with various adverse events. This study aimed to characterize abnormalities in the resting-state brain network related to FBTCS and use those findings to fit mach... read more
Generative artificial intelligence (AI) is rapidly reshaping how nursing students produce and communicate academic work, intensifying questions about authorship, accountability, and trust. Although AI disclosure is widely promoted in nursing educatio... read more
Neural networks : the official journal of the International Neural Network Society
Mar 29, 2026
Deep learning model training on edge device is challenged by limited computational power and dataset scale. Dataset distillation (DD) aims to address this challenge by synthesizing a compact, small-scale dataset that yields model performance comparab... read more
Computational methods have advanced the analysis of animal behavior, yet significant challenges remain in data standardization, analytical reproducibility, and workflow integration. Existing computational solutions often demand extensive programming ... read more
Three-dimensional branching networks exist throughout biological, natural, and man-made systems as pathways through volumetric space. Segmentation is required to correctly reconstruct the networks in whole or in part for analysis. This presents a uni... read more
Background: Interferon-gamma (IFN-{gamma}) is the primary effector cytokine of adaptive anti-tumor immunity, yet it paradoxically induces a potent immunosuppressive tumor microenvironment (TME). The full mechanistic scope of this paradox in head and ... read more
Targeting protein-protein interactions (PPIs) with small molecules is historically challenging due to shallow, solvent-exposed interfaces that lack classical binding pockets. Furthermore, employing traditional structure-based virtual screening (SBVS)... read more
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