FP-YOLOv8: Surface Defect Detection Algorithm for Brake Pipe Ends Based on Improved YOLOv8n.

To address the limitations of existing deep learning-based algorithms in detecting surface defects on brake pipe ends, a novel lightweight detection algorithm, FP-YOLOv8, is proposed. This algorithm is developed based on the YOLOv8n framework with the aim of improving accuracy and model lightweight design. First, the C2f_GhostV2 module has been designed to replace the original C2f module.

Identification of Key Genes Involved in Sesquiterpene Synthesis in Based on Transcriptome and Component Analysis.

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Nomogram Based on Immune-Inflammatory Score and Classical Clinicopathological Parameters for Predicting the Recurrence of Endometrial Carcinoma: A Large, Multi-Center Retrospective Study.

Background: Surgery is the best approach to treat endometrial cancer (EC); however, there is currently a deficiency in effective scoring systems for predicting EC recurrence post-surgical resection. This study aims to develop a clinicopathological-inflammatory parameters-based nomogram to accurately predict the postoperative recurrence-free survival (RFS) rate of EC patients.

Methods: A training set containing 1068 patients and an independent validation set consisting of 537 patients were employed in this retrospective study.

Luteolin-mediated phosphoproteomic changes in chicken splenic lymphocytes: Unraveling the detoxification mechanisms against ammonia-induced stress.

Long-term exposure to high ammonia concentrations could severely impact chicken health. On the other hand, luteolin has been shown to protect against ammonia poisoning. Although phosphorylation is critically involved in toxicity induction, the specific role of phosphorylated proteins in ammonia poisoning remains unclear.