Buccal Mucosal Graft as a Second Layer in the Vaginal Repair of Vesicovaginal Fistulas.

Objective: Vesicovaginal fistula (VVF) is a pathological communication between the urinary bladder and the vagina. The most common cause of VVF is hysterectomy, while less common causes include obstetric trauma and pelvic surgery. Most cases require surgical intervention.

Protein-protein interaction detection using deep learning: A survey, comparative analysis, and experimental evaluation.

This survey paper provides a comprehensive analysis of various Deep Learning (DL) techniques and algorithms for detecting protein-protein interactions (PPIs). It examines the scalability, interpretability, accuracy, and efficiency of each technique, offering a detailed empirical and experimental evaluation. Empirically, the techniques are assessed based on four key criteria, while experimentally, they are ranked by specific algorithms and broader methodological categories.

Transobturator hybrid tape versus synthetic tape in treatment of female stress urinary incontinence: A prospective randomized clinical study.

Objective: To compare the clinical and operative outcomes of transobturator hybrid tape versus synthetic tapes during mid-urethral sling in treating female stress urinary incontinence (SUI).

Patients And Methods: This prospective randomized study included 63 women with SUI. Patients were categorized into two groups: Group I included 32 patients who underwent midurethral sling procedure using hybrid tape; and Group II included 31 patients that had synthetic sling, using transobturator tape approach (TOT) in both groups.

Employing Machine Learning Techniques to Detect Protein Function: A Survey, Experimental, and Empirical Evaluations.

This review article delves deeply into the various machine learning (ML) methods and algorithms employed in discerning protein functions. Each method discussed is assessed for its efficacy, limitations, potential improvements, and future prospects. We present an innovative hierarchical classification system that arranges algorithms into intricate categories and unique techniques.