25339.rar

In research environments, .rar files with such identifiers often contain: Pre-trained model weights.

This research utilizes a multi-head YOLOv12 architecture for detecting particles in urinary sediment [17]. 25339.rar

The identifier is linked to a prominent 2025/2026 study published in Scientific Reports regarding the OpenUrine dataset [17]. In research environments,

If you are not a researcher in urinary sediment detection or a developer working with SonarQube static analysis , do not extract the archive. Always scan compressed files with updated antivirus software before opening. In research environments