This paper reviews the current GeoAI and machine learning applications in hydrological and
hydraulic modeling, hydrological optimization problems, water quality modeling, and fluvial …

Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased
samples of the diverse cell types in the brain. With the advances of multi-omics datasets, a …

Wood formation involves consecutive developmental steps, including cell division of
vascular cambium, xylem cell expansion, secondary cell wall (SCW) deposition, and …

Due to extreme conditions, which are influenced by the location of landfills, the release of
pollutants has been recently proven to be more severe in estuary landfills, as these landfill …

Recent improvements in remote sensing techniques (RST) allow for collecting hyperspectral
images (HSIs) with enhanced spatial and spectral resolution. These enhancements boost …

Identifying the driving factors and quantifying the sources of potentially toxic elements
(PTEs) are essential for protecting the ecological environment of the Yellow River Delta. In …

In this study, a novel uniform manifold approximation and projection combined-improved
simultaneous optimization genetic algorithm-convolutional neural network (UMAP-ISOGA …

Introduction Osteoarthritis (OA) is a chronic disease with high morbidity and disability rates
whose molecular mechanism remains unclear. This study sought to identify OA markers …

The follicular microenvironment, including intra-follicular granulosa cells (GCs), is
responsible for oocyte maturation and subsequent ovulation. However, the functions of GCs …

Papillary thyroid cancer (PTC) is one of the malignancies with an excellent prognosis.
However, in PTC, progression or dedifferentiation into poorly differentiated thyroid cancer …