Advancing image segmentation with DBO-Otsu: Addressing rubber tree diseases through enhanced threshold techniques.

Addressing the profound impact of Tapping Panel Dryness (TPD) on yield and quality in the global rubber industry, this study introduces a cutting-edge Otsu threshold segmentation technique, enhanced by Dung Beetle Optimization (DBO-Otsu). This innovative approach optimizes the segmentation threshold combination by accelerating convergence and diversifying search methodologies. Following initial segmentation, TPD severity levels are meticulously assessed using morphological characteristics, enabling precise determination of optimal thresholds for final segmentation. The efficacy of DBO-Otsu is rigorously evaluated against mainstream benchmarks like Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Feature Similarity Index (FSIM), and compared with six contemporary swarm intelligence algorithms. The findings reveal that DBO-Otsu substantially surpasses its counterparts in image segmentation quality and processing speed. Further empirical analysis on a dataset comprising TPD cases from level 1 to 5 underscores the algorithm's practical utility, achieving an impressive 80% accuracy in severity level identification and underscoring its potential for TPD image segmentation and recognition tasks.

A Retrospective Study of the Use of Antibiotic Lock Therapy and Cluster Nursing Management in Infections in Children with Short Bowel Syndrome or Solid Abdominal Tumours Treated with Totally Implantable Venous Access Ports.

Objective: To explore the effective response strategies for infections in infants with short bowel syndrome and solid abdominal tumours, treated with totally implantable venous access ports (TIVAPs). Methods: A total of 210 children who were treated with a TIVAP in our department from 2020 to 2021 were selected for this retrospective study. Eight of these children diagnosed with a catheter-related bloodstream infection were studied in this study; antibiotic lock therapy (ALT) and cluster nursing management were used for treatment, and their effects on the infection outcome were observed. Results: Among the eight children, seven access ports were successfully protected, and one catheter was removed from the right chest wall port due to repeated infection. In this one child, the left side was re-implanted. Conclusion: The use of the ALT combined with cluster-based nursing can better treat infections of TIVAPs, improve the children's healing time, and has important clinical significance in the prevention of complications from the infection and improving the treatment and nursing of the patients diagnosed with these infections.