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ijs-5935
Prevalence of anemia and determination of some hematological parameters among pregnant women in Baghdad city
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From 124 women in different stage of pregnancy ,there were 83 (67%) conceded
anemic and 41(33%) were non anemic ,there were 54(65%) suffering from iron
deficiency anemia. According to the form of anemia , 27 (32.5%) were suffering
from mild anemia, 41 (49.4%) moderately anemia while15 (18.1%) severe anemia
The number of anemic pregnant women from Baghdad was 39 (47%) and the
internally displaced anemic pregnant women 44 (53%). the anemic pregnant women
who were primigravida 36 (43.4%), while the pregnant women who were multipart
gravida 47 (56.6%) .The number of anemic pregnant women was 26(31.3%) for age
of 17-27y ,33(39.8%) for age of 28-37y and 24(28.9% )for age of 38-45y .while the
number of anemic pregnant women was 43(41%) at the 1st trimester ,31(37%) at the
2nd trimester and 18(22%) at the 3nd .There were 62(69 %) from the total pregnant
women got iron pills during the pregnancy period .From the total anemic pregnant
women 9 (11%) recorded with pregnancy diabetes, 11 (13.3%) had pregnancy
hypertension and 21(25%) suffered from placental previa,. The total RBCs and
WBCs count during the 1st ,2nd and 3rd trimesters were (3.70±0.30, 3.96±0.59 and
4.76±0.24) .( 4.62±1.23 , 8.31±2.45 and 13.22±3.60) respectively ,while the Hb
levels were 8.78±1.39 , 10.93±1.21 and 12.33±0.18 at the pregnancy trimesters.
Serum iron and serum firrtin levels in iron deficiency ,non- iron deficiency anemia
were (31.24±9.7 and 37.2±12.7) ,( 4.90±3.4 and 311.10±135.2) respectively.

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Publication Date
Wed Oct 09 2024
Journal Name
Engineering, Technology & Applied Science Research
Improving Pre-trained CNN-LSTM Models for Image Captioning with Hyper-Parameter Optimization
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The issue of image captioning, which comprises automatic text generation to understand an image’s visual information, has become feasible with the developments in object recognition and image classification. Deep learning has received much interest from the scientific community and can be very useful in real-world applications. The proposed image captioning approach involves the use of Convolution Neural Network (CNN) pre-trained models combined with Long Short Term Memory (LSTM) to generate image captions. The process includes two stages. The first stage entails training the CNN-LSTM models using baseline hyper-parameters and the second stage encompasses training CNN-LSTM models by optimizing and adjusting the hyper-parameters of

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Publication Date
Fri Feb 07 2025
Journal Name
المستودع الرقمي للاطاريح
نجاح منظمات الاعمال على وفق التوجه الريادي لتكنولوجيا المعلومات بحث ميداني لعينة من المصارف العراقية الخاصة == The Success of Business Organizations According To The Entrepreneurial Orientation For Information Technology An Field Research At Iraqi Private Banks
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المستودع الرقمي العراقي. مركز المعلومات الرقمية التابع لمكتبة العتبة العباسية المقدسة

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Publication Date
Tue Jan 01 2019
Journal Name
Advances In Materials Physics And Chemistry
The Role of Cooling Condition on the Superconducting Properties of Tl<sub>2-x</sub>Hg<sub>x</sub>Sr<sub>2</sub>Ca<sub>2</sub>Cu<sub>3</sub>O<sub>10+δ</sub> System
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Publication Date
Thu May 18 2023
Journal Name
Journal Of Engineering
Genetic Algorithm Optimization Model for Central Marches Restoration Flows with Different Water Quality Scenarios
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A Genetic Algorithm optimization model is used in this study to find the optimum flow values of the Tigris river branches near Ammara city, which their water is to be used for central marshes restoration after mixing in Maissan River. These tributaries are Al-Areed, AlBittera and Al-Majar Al-Kabeer Rivers. The aim of this model is to enhance the water quality in Maissan River, hence provide acceptable water quality for marsh restoration. The model is applied for different water quality change scenarios ,i.e. , 10%,20% increase in EC,TDS and BOD. The model output are the optimum flow values for the three rivers while, the input data are monthly flows(1994-2011),monthly water requirements and water quality parameters (EC, TDS, BOD, DO and

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Publication Date
Tue Jul 20 2021
Journal Name
Materials Science Forum
Red Laser Irradiation Effect on the Structural Properties of MawsoniteCu<sub>6</sub>Fe<sub>2</sub>SnS<sub>8</sub> [CFTS] Thin Films Deposited via Semi-Computerized Spray Pyrolysis Technique
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The existing investigation explains the consequence of irradiation of violet laser on the structure properties of MawsoniteCu6Fe2SnS8 [CFTS] thin films. The film was equipped by the utilization of semi-computerized spray pyrolysis technique (SCSPT), it is the first time that this technique is used in the preparation and irradiation using a laser. when the received films were processed by continuous red laser (700 nm) with power (>1000mW) for different laser irradiation time using different number of times a laser scan (0, 6, 9, 12, 15 and 18 times) with total irradiation time (0,30,45,60,75,90 min) respectively at room temperature.. The XRD diffraction gave polycrysta

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Publication Date
Tue Jan 18 2022
Journal Name
Materials Science Forum
The Effect of Gamma Radiation on the Manufactured HgBa<sub>2</sub>Ca<sub>2</sub>Cu<sub>2.4</sub>Ag<sub>0.6</sub>O<sub>8+δ</sub> Compound
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In this article four samples of HgBa2Ca2Cu2.4Ag0.6O8+δ were prepared and irradiated with different doses of gamma radiation 6, 8 and 10 Mrad. The effects of gamma irradiation on structure of HgBa2Ca2Cu2.4Ag0.6O8+δ samples were characterized using X-ray diffraction. It was concluded that there effect on structure by gamma irradiation. Scherrer, crystallization, and Williamson equations were applied based on the X-ray diffraction diagram and for all gamma doses, to calculate crystal size, strain, and degree of crystallinity. I

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