Concrete is one of the most widely used construction materials and may experience cracking and erosion over time, leading to reduced strength and structural performance. Using recycled concrete as aggregate is an effective approach to minimize constr... read more
Non-invasive health monitoring has recently gained a lot of consideration in the modern healthcare system, because it has the potential to diagnose diseases earlier and can monitor patients in a remote manner. This research presents a hybrid approach... read more
Seizure forecasting and affective state analysis using EEG-ECG data play a pivotal role in advancing neurological and mental health monitoring. However, existing methods such as Fed-Transformer, Res-1D CNN, and Fed-ESD suffer from privacy risks, inef... read more
Accurate regional mapping of soil heavy metals is increasingly supported by multi-source environmental covariates, yet predictive performance is often limited by sparse field sampling that cannot capture regional heterogeneity. We developed DLTL, a n... read more
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal human cancers, mostly due to its insidious onset that consequently leads to diagnosis at advanced stages. The complex biology of PDAC limits effective therapeutic options, yet ove... read more
PURPOSE: To benchmark multiple automated machine learning (AutoML) platforms for diabetic retinopathy (DR) screening from fundus photographs using a unified training and evaluationframework, with human consensus grading and an FDA-approved autonomous... read more
BACKGROUND: Web-based large language models (LLMs) are increasingly used by patients for medical self-assessment, but their efficacy in spine imaging diagnostics remains underexplored. This study systematically evaluated 5 leading multimodal LLMs-Gro... read more
Transcriptomic analyses of environmental stress responses in Synechocystis sp. PCC 6803 are often constrained by limited sample sizes, pronounced class imbalance, and technical heterogeneity across studies, which collectively limit the reliability of... read more
OBJECTIVE: This study aimed to develop supervised machine learning (ML) models to predict ocular sagittal height (OC-SAG), using anterior eye data derived from topography and tomography. METHOD: ology: A retrospective cohort of 100 eyes provided data... read more
Land use/cover change (LUCC) plays a key role in regulating the carbon cycle. Carbon storage (CS) is shaped by natural conditions, vegetation status, land use type, and socioeconomic activities. However, their effects on CS in Xinjiang, an arid regio... read more
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