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The Prevalence of Myeloproliferative Disorders in A Group of Iraqi Patients And Its Relation To Blood Indices Parameters
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AIM: The aim of this study was to measure the prevalence of myeloproliferative disorders in a sample of Iraqi patients and to measure the changes in patients’ blood parameters. BACKGROUND: Myeloproliferative disorders are a group of neoplasms affecting the bone marrow progenitor cells characterized by excess cells with a risk of transforming to acute leukemia. There is a gap in knowledge about the prevalence of Iraqi population. Thus, we investigated the prevalence and distribution of different types of myeloproliferative disorders in a sample of Iraqi patients. MATERIALS AND METHODS: Cross-sectional study is done at the National Center of Hematology from November 2019 till March 2020 on 75 patients who were diagnosed by a specialist hematopathologist to have one subtype of myeloproliferative disorders (MPDs). Blood samples were taken from them and analyzed to get complete blood count, blood film, bone marrow aspirate, and biopsy that were analyzed for each patient. Blood samples were taken from them and analyzed in terms of blood indices, which include red blood cells, white blood cells, and platelets. RESULTS: The 75 patients were found to be comprising 35 chronic myelogenous leukemia (CML) patients (46.7%), myelofibrosis 22 patients (29.3%), essential thrombocythemia (ET) 9 patients (12%), and polycythemia vera (PV) 9 patients (12%). In terms of male/female ratios, they were as follows: Myeloproliferative neoplasms (MPNs) male-to-female ratio is 1.2, CML= 0.94, myelofibrosis= 2.14 and ET= 0.5 and PV male-to-female ratio is 2. CONCLUSIONS : MPN male-to-female ratio in Iraq, which is 1.2, CML is the most common subtype. Regarding myelofibrosis, in our study, the male-to-female ratio is 2.14, which is much higher other countries. This could be attributed to high exposure to benzene and toluene which are well known to be causative agents for myelofibrosis. Regarding ET or PV, the male-to-female ratios were compatible with other countries.

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Publication Date
Thu Feb 07 2019
Journal Name
Iraqi Journal Of Laser
Treatment of Skin Scar Using CO2 Laser with or Without Corticosteroid
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CO2 Laser (10600nm) is the recent method in the management of challenging skin scar resulting from trauma, burn and surgical wound. The aim of this study was to evaluate the efficacy & safety of fractional CO2 laser (10600nm) in treatment of skin scar. Materials and Methods:Twenty patients with different types of scars treated with fractional CO2 (10600nm) laser, (10 patients) were given additional intralesional Triamcinolone. Results: All of the twenty patients included in this study showed some sort of improvements in scar texture, height and pliability and all of the ten patients who received intralesional Triamcinolone after laser show complete satisfaction. Conclusion:Fractional CO2 (10600nm) laser can be used as alternative, ef

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Publication Date
Tue Jan 08 2019
Journal Name
Iraqi Journal Of Physics
First principles calculations of Al AsxP1-x ternary nanocrystal alloying composition
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III-V zinc-blende AlP, AlAs semiconductors and their alloy Aluminum Arsenide phosphide Al AsxP1-x ternary nanocrystals have been investigated using Ab- initio density functional theory (Ab-initio-DFT) at the generalized-gradient approximation (GGA) level with STO-3G basis set coupled with large unit cell method (LUC). The dimension of crystal is found around (1.56 – 2.24) nm at a function of increasing the sizes (8, 16, 54, 64) with different concentration of arsenide (x=0, 0.25, 0.5, 0.75 and 1) respectively. Gaussian 03 code program has been used throughout this study to calculate some of the physical properties such as the electronic properties energy gap, lattice constant, valence and conduction band as well as density of state. Re

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Publication Date
Thu Jul 01 2021
Journal Name
Journal Of Applied Sciences And Nanotechnology
Homogeneity of Lithium Metasilicate-Copper Oxide Glass-Ceramics by Weibull Modulus
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Publication Date
Wed Dec 11 2019
Journal Name
Aip
Cu doping effect on characterization of nano crystalline SnSe thin films
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A thin film of (SnSe) and SnSe:Cu with various Cu ratio (0,3,5 and 7)% have been prepared by thermal evaporation technique with thickness 400±20 nm on glass substrate at (R.T). The effect of Cu dopants concentration on the structural, morphological, optical and electrical properties of (SnSe) Nano crystalline thin films was explored by using X-ray diffraction (XRD), scanning electron microscopy (SEM), atomic force microscopy (AFM), energy dispersive spectroscopy (EDS), UV–Vis absorption spectroscopy and Hall Effect measurement respectively. X-ray diffraction analysis reveal the polycrystalline nature of the all films deposited with orthorhombic structure which possess a preferred orientation along the (111) plane. The crystalline sizes o

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Publication Date
Tue May 23 2023
Journal Name
Journal Of Engineering
REMOVAL OF OIL FROM WASTEWATER BY ADVANCED OXIDATION PROCESS / HOMOGENEOUS PROCESS
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In the present work advanced oxidation process, photo-Fenton (UV/H2O2/Fe+2) system, for the treatment of wastewater contaminated with oil was investigated. The reaction was influenced by the input concentration of hydrogen peroxide H2O2, the initial amount of the iron catalyst Fe+2, pH, temperature and the concentration of oil in the wastewater. The removal efficiency for the system UV/ H2O2/Fe+2 at the optimal conditions and dosage (H2O2 = 400mg/L, Fe+2 = 40mg/L, pH=3, temperature =30o C) for 1000mg/L load was found to be 72%.

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Publication Date
Fri Jan 31 2020
Journal Name
Sains Malaysiana
Adsorption of Para Nitro-phenol by Activated Carbon Produced from Alhagi
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Publication Date
Thu Dec 01 2022
Journal Name
Iaes International Journal Of Artificial Intelligence
Reduced hardware requirements of deep neural network for breast cancer diagnosis
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Identifying breast cancer utilizing artificial intelligence technologies is valuable and has a great influence on the early detection of diseases. It also can save humanity by giving them a better chance to be treated in the earlier stages of cancer. During the last decade, deep neural networks (DNN) and machine learning (ML) systems have been widely used by almost every segment in medical centers due to their accurate identification and recognition of diseases, especially when trained using many datasets/samples. in this paper, a proposed two hidden layers DNN with a reduction in the number of additions and multiplications in each neuron. The number of bits and binary points of inputs and weights can be changed using the mask configuration

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Publication Date
Thu Dec 01 2016
Journal Name
Optik
Effect of hydrothermal growth time on ZnO nanorod arrays photoelectrode performance
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Publication Date
Sat Jan 01 2022
Journal Name
Journal Of Ecological Engineering
Biosynthetic of Titanium Dioxide Nanoparticles Using Zizyphus Spina-Christi Leaves Extract
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Publication Date
Tue Jun 01 2021
Journal Name
Iop Conference Series: Earth And Environmental Science
Implementation of hierarchically porous zeolite-polymer membrane for Chromium ions removal
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Abstract<p>This work deals with the preparation of a zeolite/polymer flat sheet membrane with hierarchical porosity and ion-exchange properties. The performance of the prepared membrane was examined by the removal of chromium ions from simulated wastewater. A NaY zeolite (crystal size of 745.8 nm) was prepared by conventional hydrothermal treatment and fabricated with polyethersulfone (15% PES) in dimethylformamide (DMF) to obtain an ion-exchange ultrafiltration membrane. The permeate flux was enhanced by increasing the zeolite content within the membrane texture indicating increasing the hydrophilicity of the prepared membranes and constructing a hierarchically porous system. A membrane contain</p> ... Show More
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