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Removal of diclofenac from aqueous solution on apricot seeds activated carbon synthesized by pyro carbonic acid microwave
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Pharmaceuticals have been widely remaining contaminants in wastewater, and diclofenac is the most common pharmaceutical pollutant. Therefore, the removal of diclofenac from aqueous solutions using activated carbon produced by pyrocarbonic acid and microwaves was investigated in this research. Apricot seed powder and pyrophosphoric acid (45 wt%) were selected as raw material and activator respectively, and microwave irradiation technique was used to prepare the activated carbon. The raw material was impregnated in pyrophosphoric acid at 80◦C with an impregnation ratio of 1: 3 (apricot seeds to phosphoric acid), the impregnation time was 4 h, whereas the power of the microwave was 700 watts with a radiation time of 20 min. A series of experiments were conducted at constant mixing speed (300 revolutions per minute) to evaluate the effect of experimental factors likes, adsorption time, pH of diclofenac solution, diclofenac initial concentration, and dosage of activated carbon on removal efficiency. The design of experiments (version 13 Stat-Ease) was implemented using the central composite method to define the optimum effect of the process factors on the removal efficiency. The analysis of variance showed that the quadratic model for the experiment was significant with a very low probability value (P- value < 0.0001). The adjusted R2 of the model was 0.9826 and the predicted R2 was 0.9574. Whereas the optimum conditions suggested by the model for the process variable were found to be 150 min, 3.25 pH, 30 mg/L, 0.267g, for adsorption time, pH of diclofenac solution, diclofenac initial concentration, a dosage of activated carbon, respectively and the maximum removal efficiency was found to be 94.6%. The data obtained from the experiments were fitted with Langmuir and Freundlich models and the results show that the data was well fitted Langmuir model with R2 = 0.9685 as compared to the Freundlich model which has R2 = 0.93249. Likewise, the data was analyzed by pseudo first and second-order kinetic models and the results show that the adsorption on apricot-activated carbon was well adequate with the pseudo-second-order model.

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Publication Date
Tue Feb 02 2021
Journal Name
مجلة بحوث الشرق الأوسط
Iraqi women's participation in athletics in the Arab Games from 1948 to 2017 and the results achieved.
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This study dealt with the presentation and documentation of the Iraqi women's participations in athletics in the Arab sports courses since the establishment of the Federation of Athletics in 1948 to 2017 as well as analysis of the results achieved for these participations and discuss the reasons for not participating in some of these courses and the researchers try to show the distinct role of Iraqi athletes, And their active contribution to these courses to represent the country as well as to promote the sports reality of Iraqi women compared to their Arab sisters, whose names have become a symbol of every Arab woman and therefore benefit from the experience of the Arab teams In athletics for women.

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Publication Date
Sat Jan 01 2022
Journal Name
The Iraqi Postgraduate Medical Journal
Is It Reasonable to Screen for Undiagnosed Diabetes and Prediabetes in Asymptomatic Individuals? A Sample from Baghdad
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BACKGROUND: Diabetes Mellitus is a complex chronic illness that has increased significantly around the world and is expected to affect 628 million in 2045. Undiagnosed type 2 diabetes may affect 24% - 62% of the people with diabetes; while the prevalence of prediabetes is estimated to be 470 million cases by 2030. AIM OF STUDY: To find the percentage of undiagnosed diabetes and prediabetes in a slice of people aged ≥ 45years, and relate it with age, gender, central obesity, hypertension, and family history of diabetes. METHODS: A cross sectional study that included 712 healthy individuals living in Baghdad who accepted to take part in this study and fulfilling the inclusion and exclusion criteria.

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Publication Date
Sun Jun 25 2023
Journal Name
International Journal Of Drug Delivery Technology
Synthesis, Characterization, Antioxidant and Antibacterial Studies for New Schiff Base Complexes derived from 4-Bromo-O-toluidine
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In this article, new Schiff base ligand LH-prepared Mn(II), Co(II), Ni(II), Cu(II), Zn(II), Cd(II), Hg(II), Pd(II), and Pt(II) materials were analyzed using spectroscopy (1 Metal: 2 LH). The ligand was identified using techniques such as FTIR, UV-vis, 1H-13C-NMR, and mass spectra, and their complexes were identified using CHN microanalysis, UV-vis and FTIR spectral studies, atomic absorption, chloride content, molar conductivity measurements, and magnetic susceptibility. According to the measurements, the ligand was bound to the divalent metal ions as a bidentate through oxygen and nitrogen atoms. The complexes that were created had microbicide activity against two different bacterial species and one type of fungus. DPPH techniques were bei

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Publication Date
Wed Jan 01 2020
Journal Name
Medico -legal Update
Histological changes in liver tissue resulting from Hydatid cyst infection: Comparison between sheep and cattle in iraq
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Scopus
Publication Date
Sun Sep 28 2025
Journal Name
Journal Of Physical Education
Contribute to the pivotal thinking skills in performing the transmission skill from Volleyball Fourth preparatory grade adolescents
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The aim of this study was to identify the level of critical thinking skills among fourth-grade middle school students and to determine the performance level of the underhand volleyball pass, with the assumption that there is a positive relationship between critical thinking and skill performance. The study population included 281 students from Basra Preparatory School for Girls under the Second Baghdad Education Directorate for the 2024/2025 academic year, of whom 275 students were intentionally selected as the research sample (97.865% of the population). The experimental procedure involved applying a critical thinking scale and a technical performance test for the underhand pass on 25 students per day over 11 days, from February 9

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Crossref
Publication Date
Wed Jun 30 2021
Journal Name
Journal Of Economics And Administrative Sciences
Estimating Stock Returns Using Rough Set Theory: An Exploratory study With An Evidence From Iraq Stock Exchange
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‎ This research aims to estimate stock returns, according to the ‎Rough Set Theory ‎approach, ‎test ‎its effectiveness and accuracy in predicting stock returns and their potential in the ‎field of ‎financial ‎markets, and rationalize investor decisions. The research sample is totaling (10) ‎companies traded at Iraq Stock Exchange. The results showed a remarkable ‎ ‎Rough Set Theory application in data reduction, contributing to the rationalization of ‎investment ‎decisions. The most prominent conclusions are the capability of rough set theory ‎in ‎dealing with financial data and applying it for forecasting stock ‎returns.‎The ‎research provides those interested in investing stocks in financial

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Crossref
Publication Date
Sat Oct 01 2022
Journal Name
Journal Of Applied Geophysics
Predicting dynamic shear wave slowness from well logs using machine learning methods in the Mishrif Reservoir, Iraq
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Crossref
Publication Date
Tue Dec 16 2025
Journal Name
Cab Reviews: Perspectives In Agriculture, Veterinary Science, Nutrition And Natural Resources
From data to decision: How wearable plant sensors help improving proactive irrigation strategies and water use efficiency
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Wearable sensors are a revolutionary tool in agriculture because they collect accurate data on plant environmental conditions that affect plant growth in real-time. Moreover, this technology is crucial in increasing agricultural sustainability and productivity by improving irrigation strategies and water resource management. This review examines the role of wearable sensors in measuring plant water content, leaf and air humidity, stem flow, plant and air temperature, light, and soil moisture sensors. Wearable sensors are designed to monitor various plant physiological parameters in real-time. These data, obtained through wearable sensors, provide information on plant water use and physiology, making our agricultural choices more informed an

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Scopus Crossref
Publication Date
Sat Oct 01 2022
Journal Name
Journal Of Applied Geophysics
Predicting dynamic shear wave slowness from well logs using machine learning methods in the Mishrif Reservoir, Iraq
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Scopus (16)
Crossref (11)
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Publication Date
Mon Jan 01 2024
Journal Name
Ieee Access
Transfer Learning and Hybrid Deep Convolutional Neural Networks Models for Autism Spectrum Disorder Classification From EEG Signals
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Scopus (26)
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