In Iraq, because of the dramatic turnovers facing the country for three decades, pharmacists continue to experience significant professional challenges in both the public and private sectors. The present study aimed to explore the professional challenges and obstacles facing Iraqi pharmacists working in public hospitals. This qualitative study included face-to-face semi-structured interviews with open-ended questions with hospital pharmacists. The participants were selected purposefully (with ≥ 3 years of experience) to work at governmental hospitals in Karbala province between December 2022 and April 2023. The audio-recording interviews were scripted. Thematic analyses were used to generate themes and subthemes from the interview

Modern automation robotics have replaced many human workers in industrial factories around the globe. The robotic arms are used for several manufacturing applications, and their responses required optimal control. In this paper, a robust approach of optimal position control for a DC motor in the robotic arm system is proposed. The general component of the automation system is first introduced. The mathematical model and the corresponding transfer functions of a DC motor in the robotic arm system are presented.  The investigations of using DC motor in the robotic arm system without controller lead to poor system performance. Therefore, the analysis and design of a Proportional plus Integration plus Divertive (PID) controller is illustrated.

Women infertility is a common reproductive system disorder. Diagnosis and treatment are characterized by limited availability and high costs. This paper intends to evaluate the levels of endogenous antioxidant proteins metallothionein 2 (MT2) and metallothionein 4 (MT4) in the serum of both infertile and fertile women, as well as to assess the association between these proteins and total oxidant capacity (TOC), total antioxidant capacity (TAC), oxidative stress index (OSI), serum anti-Müllerian hormone (AMH), and serum testosterone. This case-control study involved one hundred eighty Iraqi women, categorized into three categories: primary infertile women (P group), secondary infertile women (S group), and healthy fertile women (C group). W

Soil salinization is a pervasive global issue, particularly in semi-arid and dry areas. It constitutes the primary cause of soil degradation, significantly impairing soil functionality and agricultural productivity. Consequently, there is a pressing need for precise procedures to measure soil salinity in various areas, which are necessary for managing, correcting, monitoring, and utilizing saline soils effectively. This study employed remote sensing (RS) techniques as a robust approach for constructing predictive models of soil salinity by examining changes in soil salinity using different salinity indices and comparing them with electrical conductivity (EC) measurements for soil samples. Among the five salinity indices evaluated, t

Large language models (LLMs) are a rapidly evolving class of artificial intelligence with significant potential in clinical healthcare. Despite accelerating adoption, rigorous systematic evidence on clinical utility, patient safety, and implementation feasibility remains fragmented. To systematically review LLM applications across clinical domains, evaluate performance with appropriate contextual caveats, characterize implementation barriers, and identify ethical and regulatory considerations. Scientific databases were searched from January 2020 to January 2025. Studies evaluating transformer-based LLMs (≥10M parameters) in clinical settings were eligible. Data were independently double-extracted; quality was assessed using QUADAS-2, RE-A

Abstract Background Deep learning (DL) has attracted increasing attention in orthodontics, with many studies reporting high diagnostic and predictive accuracy. However, despite these promising results, routine clinical adoption remains limited. Objectives This scoping review aimed to explore the main barriers that restrict the translation of DL systems from research environments into everyday orthodontic practice. Methodology The review was conducted in accordance with PRISMA-ScR guidelines. Electronic searches were performed in PubMed, Scopus, Web of Science, and IEEE Xplore for English-language studies published between 2015 and June 2025. Studies reporting quantitative performance of DL-based orthodontic applications were included. Dat