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This study introduced a novel, weakly supervised method for segmenting hair in Scanning Electron Microscope images using simple image-level annotations, achieving over 30% improvement in mean Hausdorff Distance compared to Unet and SAM, while enhancing interpretability and refinement.

This study found that using curated biomedical databases as training examples for information extraction tasks in Genome-Wide Association Studies can outperform cost-insensitive methods, demonstrating their potential use without expert annotation.

This review highlights advancements in applying single-cell sequencing to cattle, sheep, and goats, noting its potential to elucidate cellular diversity and improve traits affecting livestock health and productivity, despite challenges in cell population annotation and spatial resolution in these species.

This study found that greater root surface area due to root hairs contributed to better growth and zinc uptake of wild-type barley compared to its root-hairless mutant in zinc-deficient soil.

This study examined wool traits in Angora rabbits using low-coverage whole genome sequencing, identifying six QTLs and a gene, FGF10, linked to fiber growth and diameter, suggesting a cost-effective approach for complex trait analysis in genomic breeding.