Results: The results summarized two goals, the first goal stipulates (to identify the degree of cyberbullying among academically outstanding students in the middle school stage). To achieve this goal, the researchers applied the research tool (electronic bullying scale) and then extracted the arithmetic mean for the sample of the current research, which amounted to (6.28) with a standard deviation of (4.03). Then the researchers applied the t-test for one sample to identify the significance of the differences between the means. The arithmetic mean for the sample and the hypothetical (theoretical) mean, which amounted to (11.5) degrees, and after applying the T-test for one sample, it was found that the calculated T-value, which amounted to

The current research aimed to explore the practicing of cyber bullying among college students as well as the differences of practicing cyber bullying among university students based on gender variable. The finding revealed that there was a high prevalence rate for cyber bullying among research sample who was students from Baghdad University. It assured clearly that this group participated in cyber bullying effectively, due to the biological and psychological factors which make them super sensitive toward the social and economic problems. Moreover, the results showed that there were significant differences between male and female in practicing cyber bullying. The study proved that women use cyber bulling more than men.  

This research aims to identify the level of Voluntary work among university students, and explore the statistical differences of voluntary work among students due the gender and major. A total of (400) male and female student from morning study were selected as a sample to achieve the research's objectives. Al-Malaki (2010) scale was adopted to collect the required data. The results revealed that men take massive part in voluntary work than women, and students of human sciences showed significant differences than those of other majors.   

The study deals with an analysis of the contents of the publications of the campaign (Together to defeat Corona), which was established by the United Nations Development Program in Iraq in the face of the Covid 19 virus.The research problem raises a main question:What are the implications of the campaign (Together to defeat Corona) of the United Nations Development Program (Iraq office) in addressing the Covid-19 virus in Iraq?From this main question, several sub-questions emerged, which were answered by this study in its chapters and investigations, including regarding the contents of advertisements, photos and videos for the publications of the (Together to Defeat Corona) campaign for the United Nations Iraq Office on their Facebook pageA

Toxoplasma gondii has a worldwide distribution and it is one of the most prevalent infectious agents in Iraq. The study was conducted on 200 serum samples of unmarried female university of students age ranged between 18 to 26 years to detect Toxoplasma gondii antibodies. The aim of this study was to detect T. gondii antibodies among unmarried female students in Iraqi universities using different serological tests. Seventy six (38%) serum samples out of 200 subjects were positive for toxoplasma antibodies by Latex agglutination test (LAT). Among 76 LAT sera positive ,only 58 (29%) serum samples were positive with toxoplasma IgG ELISA test , however , the results of IgM ELISA assay were positive only for 3 (1.5%) unmarried

Healthcare professionals routinely use audio signals, generated by the human body, to help diagnose disease or assess its progression. With new technologies, it is now possible to collect human-generated sounds, such as coughing. Audio-based machine learning technologies can be adopted for automatic analysis of collected data. Valuable and rich information can be obtained from the cough signal and extracting effective characteristics from a finite duration time interval that changes as a function of time. This article presents a proposed approach to the detection and diagnosis of COVID-19 through the processing of cough collected from patients suffering from the most common symptoms of this pandemic. The proposed method is based on adopt

BACKGROUND: Mental health problems are reflected and linked to human behavior in many aspects. Medical students are susceptible to a wide variety of events that compromise their mental well-being, social life as well as their academic achievements. AIM: This study aimed to find the impact of social support on medical students’ behavior in Iraq via assessing their depression, anxiety, and stress status. METHODS: A cross-sectional online survey-based study targeted all medical students in Iraq. The employed questionnaires covered mental health status of participants by evaluating their perceptions of depression, anxiety, and stress using. Data were analyzed using the Statistical Analysis System. RESULTS: The study revealed a signifi

To assess the impact of COVID‐19 on oral hygiene (OH) awareness, attitude towards dental treatment, fear of infection and economic impact in the Middle East.