The world is currently facing a medical crisis. The epidemic has affected millions of people around the world since its appearance. This situation needs an urgent solution. Most countries have used different solutions to stop the spread of the epidemic. The World Health Organization has imposed some rules that people should adhere. The rules are such, wearing masks, quarantining infected people and social distancing. Social distancing is one of the most important solutions that have given good results to confront the emerging virus. Several systems have been developed that use artificial intelligence and deep learning to track social distancing. In this study, a system based on deep learning has been proposed. The system includes monitor

Objectives:  The present study aimed to assess the compulsion among health care providers during the pandemic of COVID-19.

Methodology:  a descriptive design was used in the present study.  This study was conducted from October 10th, 2020 through May 20th, 2021.  The study was conducted on a probability (convenient) sample of 248 physicians and nurses who work at Baghdad Teaching hospital in Baghdad city.  The instrument was used in this study is the COVID Stress Scale-Arabic version (CSS).

 Results:  The result of this study showed that 42 % of HCPs had moderate symptoms and 36% of them had mild compulsive symptoms, and

Aflatoxin B1 (AFB1) is a mycotoxin produced mainly by fungus Aspergillus flavus in food and feed . It is considered as a carcinogenic toxin for human and animals. The current study was designed for produce antibody (IgG) against aflatoxin B1.It was achieved by immunization of experimental animals (New Zealand White rabbits) with prepared antigen consist of aflatoxin B1-BSA Conjugate (100 and 200 μg ) concentrations, and detection of produced antibody using Ouchterlony double immunodiffusion and ELISA techniques,. Ochterlony and ELISA techniques revealed that, high titer of IgG antibody was obtained by rabbit’s immunize, and the titer of antibody was increased steadily during the immunization schedule. The highest titer of antibody rea

     Due to the spread of “Deepfake” in our society and the impact of this phenomenon on politicians, celebrities, and the privacy of individuals in particular, as well as, on the other hand, its impact on the electoral process as well as financial fraud, all these reasons prompted us to present a research paper dealing with this phenomenon. This paper presents a comprehensive review of Deepfake, how it is created, and who has produced it. This paper can be used as a reference and information source for the methods used to limit deepfake by detecting forgeries and minimizing its impact on society by preventing it. This paper reviews the results of much research in the field of deepfake, as well as the advantages of each method, a