Objectives: The aim of this study was to assess undergraduate student's practices and attitudes toward family violence in the University of Baghdad.

Methods: This was a descriptive study on non-probability (purposive) sample of 100 undergraduate students from different colleges at the University of Baghdad from November 15, 2022 to May 20, 2023. A validated questionnaire was prepared with 43 questions, which consisted of three parts: eight items related to students’ demographic data, 13 items related to students’ attitudes, and 22 items related to students’ practices.

In this research, the seasonal Optimal Reliable Frequency (ORF) variations between different transmitter/receiver stations have been determined. Mosul, Baghdad, and Basra have been chosen as tested transmitting stations that located in the northern, center, and southern of Iraqi zone. In this research, the minimum and maximum years (2009 and 2014) of solar cycle 24 have been chosen to examine the effect of solar activity on the determined seasonal ORF parameter. Mathematical model has been proposed which leads to generate the Optimal Reliable Frequency that can maintain the seasonal connection links for different path lengths and bearings. The suggested ORF parameter represented by a different orders polynomial equation. The polynom

Small and Medium Enterprises (SMEs) in Iraq have experienced low performance due to the limited usage of accounting information systems (AIS) and the inability to exploit knowledge of management capabilities (KMC). These deficiencies have led to competitive pressures in the marketplace that have adversely affected their sales and production. This study investigates the role of AIS in terms of operation support, knowledge support, regulatory support, and the role of KMC, including knowledge acquisition, knowledge transfer, and knowledge utilized to enhance organizational performance in Iraqi SMEs. The target population was managers and owners in SMEs using AIS in Iraq’s cities. A non-probability purposive sampling technique was use

Electric vehicles are emerging as a sustainable alternative to conventional transportation. However, route planning in Internet of Vehicles environments remains challenging because conventional routing algorithms based on travel distance or time do not adequately consider electric vehicle-specific constraints. Existing routing strategies often overlook the combined effects of battery energy, traffic congestion, and charging requirements, resulting in inefficient routing decisions. This paper proposes an adaptive Energy, Congestion, and Charging-Aware Routing (ECCAR) protocol that uses energy-feasibility verification, cost-based charging-station selection, and route re-optimization for electric vehicles in Internet of Vehicles enviro

Background: Next-generation sequencing (NGS) can monitor the transmission of COVID-19 and viral alterations. Objectives: To provide information about testing techniques and infection control measures, as well as to direct the development of vaccines and treatments for the Corona virus. Methods: Six Iraqi SARS-CoV-2 strains were investigated using whole-genome sequencing using the next-generation sequencing method. The sequencing was carried out with an Illumina MiSeq system, and phylogenetic analysis was carried out for all Iraqi sequences retrieved from GISAID. Results: The analysis of the isolates from this study showed that all the sequences from the most recent wave, which happened in the summer of 2022, were primarily clustered