Abstract This study primarily aimed to evaluate whether peritoneal equilibration test (PET) results can be predicted through the metabolomic analysis of overnight peritoneal dialysis (PD) effluents.From a total of 125 patients, overnight PD effluents on the day of the first PET after PD initiation were analyzed.A modified 4.25% dextrose PET was per
Innovative Telecom Fraud Detection: A New Dataset and an Advanced Model with RoBERTa and Dual Loss Functions
Telecom fraud has emerged as one of the most pressing challenges in the criminal field.With advancements in artificial intelligence, telecom fraud texts have become increasingly covert and deceptive.Existing prevention methods, such as mobile number tracking, detection, and traditional machine-learning-based text recognition, struggle in terms of t
Detection Model of Tea Disease Severity under Low Light Intensity Based on YOLOv8 and EnlightenGAN
In response to the challenge of low recognition rates for similar phenotypic symptoms of tea diseases in low-light environments and the difficulty in detecting small lesions, a novel adaptive method for tea disease severity detection is proposed.This method integrates an image enhancement algorithm based on an improved EnlightenGAN network and an e
Clinico-Histopathological Spectrum of Infectious Granulomatous Dermatoses in Western India- A Representative Study from Mumbai
Introduction: Infectious Granulomatous Dermatoses (IGDS) have various aetiological factors with a considerable overlap in the histopathological and clinical features, thus posing a diagnostic dilemma for dermatologists and pathologists.Aim: We aimed at determining the histopathological profile of IGDS correlating it with clinical features with an a