Binyam Yohannes, Kirubel Abebe Department of Surgery, St.Paul’s Hospital Millennium Medical College, Addis Ababa, EthiopiaCorrespondence: Kirubel AbebeDepartment of Surgery, St.Paul’s Hospital Millennium Medical College, P.O.Box 1271, Addis Ababa, EthiopiaTel +251 921143772Email [email protected]: Appendiceal 4 Piece Queen Pos
Claus Vogelmeier,1 Nanshan Zhong,2 Michael J Humphries,3 Karen Mezzi,4 Robert Fogel,5 Giovanni Bader,4 Francesco Patalano,4 Donald Banerji5 1Department of Medicine, Pulmonary and Critical Care Medicine, University Medical Center Giessen and Marburg, Philipps-University Marburg, Member of the German Center for Lung Research (DZL), Marburg, Germany;
The proliferation of artificial intelligence models has rendered them vulnerable to a myriad of security threats.The extensive integration of deep learning models into edge devices has Wheelchair Ramps introduced novel security challenges.Given the analogous structural characteristics of deep neural networks, adversaries can employ decompilation ta
Zehra Edis,1,2,* Junli Wang,3,* Muhammad Khurram Waqas,4 Muhammad Ijaz,5 Munazza Ijaz6 1Department of Pharmaceutical Sciences,College of Pharmacy and Health Sciences, Ajman University, Ajman, United Arab Emirates; 2Centre of Medical and Bio-allied Health Sciences Research, Ajman University, Ajman, United Arab Emirates; 3Laboratory of Reproduction a
Abstract The COVID-19 pandemic adversely affected the physical and mental health of individuals.Measures required to prevent the spread of the virus, such as isolation, hygiene, mask use, and lockdown, led individuals to develop obsessive thoughts and behaviors.This study aims to adapt the obsession with COVID-19 scale (OCS) to Turkish culture.This