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Analysis of Docetaxel Adverse Drug Reactions: A Retrospective Study Based on Iraqi Pharmacovigilance Center Database
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Docetaxel is an effective treatment approved for many types of cancers, but its effectiveness in clinical practice can be compromised by significant occurrence of adverse drug reactions. The aim of the current study was to measure the distribution of adverse drug reactions of docetaxel reported in Iraq and to assess the causality, severity, seriousness, preventability, expectedness and outcome of these adverse reactions. A retrospective study conducted on individual case safety reports from the Iraqi Pharmacovigilance Center / Ministry of Health. The study included 118 individual case safety report containing 236 adverse drug reactions.
Most of the adverse drug reactions were related to skin and subcutaneous tissue disorders(26.7%), followed by respiratory, thoracic and mediastinal disorders (20.8%), gastrointestinal disorders (17.4%) and general disorders and administration site conditions (10.6%). The majority of these reactions with possible causality (68.6%), moderate severity (75.4%), expected (80.5%), possibly preventable (93.2%), and serious (80.5%). In addition the most common outcome of adverse drug reactions was recovered / resolved (46.19%).

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Publication Date
Fri Mar 01 2024
Journal Name
Baghdad Science Journal
Preparing a New Type of Concrete Based on Sulfur-melamine Modifier
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In this research work, a new type of concrete based on sulfur-melamine modification was introduced, and its various properties were studied. This new type of concrete was prepared based on the sulfur-melamine modification and various ingredients. The new sulfur-melamine modifier was fabricated, and its fabrication was confirmed by IR spectroscopy and TG analysis. The surface morphology resulted from this modifier was studied by SEM and EDS analysis. The components ratios in concrete, chemical and physical characteristics resulted from sulfur-melamine modifier, chemical and corrosion resistance of concrete, stability of concrete against water adsorption, stability of concrete against freezing, physical and mechanical properties and durabi

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Publication Date
Tue May 31 2022
Journal Name
International Journal Of Research In Social Sciences & Humanities
A Critical Discourse Analysis Study of Silence in Selected Texts of Virginia Woolf
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BN Rashid, Social Sciences, 2022

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Publication Date
Wed Aug 19 2020
Journal Name
International Journal Of Research In Social Sciences And Humanities
HUMOUR IN THE AMERICAN AND BRITISH COMEDYEPISODES: A DISCOURSE ANALYSIS STUDY
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DBNRAAK Mohammed, International Journal of Research in Social Sciences and Humanities, 2020

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Publication Date
Fri Oct 02 2026
Journal Name
Iraqi Journal For Administrative Sciences
Using the Statistical Analysis to study the important reasons of the pollution in the Iraqi Marshlands Areas
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The need for detection and investigation of the causes of pollution of the marshes and submit a statistical study evaluated accurately and submitted to the competent authorities and to achieve this goal was used to analyze the factorial analysis and then obtained the results from this analysis from a sample selected from marsh water pollutants which they were: (Electrical Conductivity: EC, Power of Hydrogen: PH, Temperature: T, Turbidity: TU, Total Dissolved Solids: TDS, Dissolved Oxygen: DO). The size of sample (44) sites has been withdrawn and examined in the laboratories of the Iraqi Ministry of Environment. By illustrating SPSS program) the results had been obtained. The most important recommendation was to increase the pumping of addit

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Publication Date
Sat Jun 08 2024
Journal Name
Karbala International Journal Of Modern Science
Designing of Human Serum Albumin Nanoparticles for Drug Delivery: a Potential Use of Anticancer Treatment
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Human serum albumin (HSA) nanoparticles have been widely used as versatile drug delivery systems for improving the efficiency and pharmaceutical properties of drugs. The present study aimed to design HSA nanoparticle encapsulated with the hydrophobic anticancer pyridine derivative (2-((2-([1,1'-biphenyl]-4-yl)imidazo[1,2-a]pyrimidin-3-yl)methylene)hydrazine-1-carbothioamide (BIPHC)). The synthesis of HSA-BIPHC nanoparticles was achieved using a desolvation process. Atomic force microscopy (AFM) analysis showed the average size of HSA-BIPHC nanoparticles was 80.21 nm. The percentages of entrapment efficacy, loading capacity and production yield were 98.11%, 9.77% and 91.29%, respectively. An In vitro release study revealed that HSA-BIPHC nan

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Publication Date
Sun Jan 02 2022
Journal Name
Journal Of The College Of Languages (jcl)
A Pragmatic Analysis of Illocutionary Act in a Selected Presidential Speech on COVID-19
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     This paper aims at studying the illocutionary speech acts: direct and indirect to show the most dominant ones in a presidential speech delivered by the USA president. The speech is about the most critical health issue in the world, COVID-19 outbreak.  A descriptive qualitative study was conducted by observing the first speech delivered by president Trump concerning coronavirus outbreak and surveying the illocutionary acts: directive, declarative, commissive, expressive, and representative. Searle's (1985) classification of illocutionary speech acts is adopted in the analysis.

     What are the main types of the illocutionary speech acts performed by Trump in his speech?; Why does

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Publication Date
Sun Jun 18 2023
Journal Name
International Journal Of Development In Social Sciences And Humanities
A CRITICAL DISCOURSE ANALYSIS OF SELECTED POLITICAL SPEECH ON ONLINE EDUCATION
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PDBN Rashid, International Journal of Development in Social Sciences and Humanities, 2023

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Publication Date
Tue Jan 20 2026
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Comparative Histopathological Study of Ciprofloxacin Impact on Mus Musculus Renal Cortex Infected with Multi-drug Resistance and Susceptible Uropathogenic Escherichia Coli
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Urinary tract infections are mainly caused by uropathogenic Escherichia coli, which represent a significant global issue along with the rising of antibiotic resistance and treatment challenges. The aim of this study was to evaluate ciprofloxacin efficacy as a treatment in animal models following infection with multidrug-resistant UPEC and multidrug-susceptible UPEC and to determine the nephrotoxic effect of these antibiotics on the renal cortex. Up to 76 E. coli isolates were collected from UTI patients in Baghdad province, characterized by morphological and biochemical features, and confirmed using the Vitek-2 compact system. Mice were orally infected via gastric gavage with G33 using a bacterial load of 107 cells/ml, followed by p

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Publication Date
Wed Dec 25 2019
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
A Vision to development the Islamic banks that operating under the financial system based on interest: (Iraq Case Study)
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This paper aims to build a modern vision for Islamic banks to ensure sustainability and growth, as well it aims to highlight the positive Iraqi steps in the Islamic banking sector. In order to build this vision, several scientific research approaches were adopted (quantitative, descriptive analytical, descriptive). As for the research community, it was for all the Iraqi private commercial banks, including Islamic banks. The research samples varied according to a diversity of the methods and the data availability. A questionnaire was constructed and conducted, measuring internal and external honesty. 50 questionnaires were distributed to Iraqi academic specialized in Islamic banking. All distributed forms were subject to a thorough analys

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Publication Date
Fri Sep 01 2023
Journal Name
Journal Of Engineering
Iraqi Sentiment and Emotion Analysis Using Deep Learning
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Analyzing sentiment and emotions in Arabic texts on social networking sites has gained wide interest from researchers. It has been an active research topic in recent years due to its importance in analyzing reviewers' opinions. The Iraqi dialect is one of the Arabic dialects used in social networking sites, characterized by its complexity and, therefore, the difficulty of analyzing sentiment. This work presents a hybrid deep learning model consisting of a Convolution Neural Network (CNN) and the Gated Recurrent Units (GRU) to analyze sentiment and emotions in Iraqi texts. Three Iraqi datasets (Iraqi Arab Emotions Data Set (IAEDS), Annotated Corpus of Mesopotamian-Iraqi Dialect (ACMID), and Iraqi Arabic Dataset (IAD)) col

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