Germline Pathogenic/Likely Pathogenic Mutations and Subsequent Neoplasms Among Childhood Cancer Survivors: A Report From the Children's Oncology Group ALTE03N1 Study Patients received escalating ...

Abstract: The increasing reliance on convolutional neural networks (CNNs) for automatic target recognition (ATR) in critical applications necessitates robust defenses against adversarial attacks, ...

There was an error while loading. Please reload this page. This project applies Logistic Regression to predict whether a passenger aboard the Titanic survived. It ...

Abstract: This study presents an optimized Logistic Regression-based predictive model for early detection of Chronic Kidney Disease (CKD) using clinical and demographic data. The framework integrates ...

Department of Nursing, Faculty of Health Sciences, Klaipėda University, Klaipėda, Lithuania Background: There are studies that reveal the relationship between workload and job satisfaction, studies ...

Department of Chemical, Biological, Pharmaceutical and Environmental Sciences (CHIBIOFARAM), University of Messina, Viale Ferdinando D’Alcontres 13, I-98166 Messina, Italy ...

The optimal strategy for managing M2 segment occlusions of the middle cerebral artery, whether with direct endovascular treatment (EVT) or bridging therapy with intravenous thrombolysis (IVT) before ...

Introduction: Obstetric fistula is a serious and tragic childbirth injury that mainly affects women in resource-limited areas, often leading to social isolation and stigma. While optimal knowledge ...

If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...

Department of Civil & Mineral Engineering, University of Toronto, 35 St George Street, Toronto, Ontario M5S 1A4, Canada ...