In the field of numismatics, classifying ancient coins, especially those that have diverse information and cultural heritage is a difficult task.Machine learning algorithms have recently made remarkable advancements in these types of tasks.However, these algorithms largely rely on relevant datasets.This article presents a novel dataset of ancient G
Background: Operative intervention for thoracic trauma typically requires thoracotomy.We hypothesized that thoracoscopy may be safely and effectively utilized for the acute management of thoracic injuries.Materials and Methods: The Trauma Registry of a Level I trauma center was queried from 1999 through 2010 for all video-assisted thoracic procedur
The COVID-19 surge has mostly affected Hardware people and wreaked havoc on multiple sectors of the global economy.This study uses artificial neural networks (ANN) to develop COVID-19 prediction models to minimize the perilous situation.With positive infection data, these hybrid artificial neural network models looked at COVID-19 cases in Andhra Pr
Acinetobacter baumannii Crop Jumper causes invasive paediatric infections, including bacteraemia and meningitis, but neonatal meningitis and ventriculitis is uncommon.The treatment of multidrug resistant (MDR) Acinetobacter infections often relies on colistin, a polymyxin antibiotic, as a last resort.Increased use of this drug has led to the emerge
OBJECTIVES/GOALS: Myocarditis is an inflammatory cardiomyopathy commonly caused by read more viral infections.The residual burden of this disease after guideline-based therapies is substantial, as there are no pathway-specific therapies.Our long-term goal is to find and translate treatments that reduce acute myocarditis severity and prevent progres