In this study, we developed a similar text retrieval system using Sentence-BERT (SBERT) for our database of closed medical malpractice claims and investigated its retrieval accuracy.We assigned each case in the database a short Japanese summary of the accident as well as two labels: the category was classified as a hospital department mainly, and t
Mental illness prediction through text involves employing natural language processing (NLP) techniques and deep learning algorithms to analyze Eczema textual data for the identification of mental disorders.Therefore, machine learning and deep learning algorithms have been utilized in the existing literature for the detection of mental illness.Howev
Background and Aim: Canine parvovirus (CPV) is the most important cause of mortality in dogs in many parts of the world.Clinical cases exhibit characteristic signs, including foul-smelling bloody diarrhea, vomiting, fever, and dehydration.This study assessed field and vaccine variants of parvovirus in the Chattogram metropolitan area, Bangladesh.Th
Offshore wind farms (OWF) are establishing their position to be the next strategy to expand the growth horizon of wind power production.For proper integration of OWFs into the existing grid, the voltage source converter (VSC)-based high voltage direct current (HVDC) transmission is being vastly utilized.For the stable operation of the existing grid