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A Comparative Study of Iraqi Women to Evaluate The Health Outcomes of Appendectomy in Pregnant Women
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The present study sought to identify the negative effects on pregnant patients and those suffering from appendicitis who underwent appendectomy. Furthermore, the quality of life of the participants was evaluated in order to ascertain any statistical differences in Iraq during the period spanning from 2022 to May 2024. The cases encompassed 110 patients diagnosed with acute appendicitis who received treatment across multiple hospitals in Iraq during the period spanning from 2022 to May 2024. The participants in the study ranged in age from 18 to 40 years, with a mean age of (27.15 ± 4.28) years in the control group and from 20 to 50 years in the laparoscopic appendectomy group, with a mean age of (29.28 ± 3.45) years. A statistical analysis was conducted to ascertain whether there was a significant difference in the baseline data between the two groups (P > 0.05), and this indicated that the two groups were comparable. Regarding newborns, the following data is collected: weight (g) ± 200.93. The data presented in Table 4 provides a comprehensive overview of the outcomes observed in patients undergoing laparoscopic appendectomy (Operating time (min): 40-80 min; length of postoperative stay (days): 3-6 days) and open surgery (50-80 min; 5-8 days). The newborn data set includes weight (g) of 3400 ± 200.93, gestational age (d) of 280.1 ± 9.8, Apgar score < 7 at 5 minutes for patients 10, and pH of umbilical cord < 7.15 for patients 4. The data set from the open group shows a weight of 3100.3 ± 199, gestational age (d) of 277 ± 7.9, and Apgar score < 7 at 5 minutes for 17 patients. In cases where surgical intervention is deemed necessary, laparoscopic appendectomy is recommended for pregnant patients. Laparoscopy is considered to be both technically safe and feasible during pregnancy when performed by a laparoscopic expert.

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Publication Date
Tue Dec 31 2024
Journal Name
مـجـلــة الـدراســات التربــويــة والعـلـمـيــة - كلـيــة الـتــربـيــة - الجــامـعـة العـراقـيــة ال
Synthesis, Characterization and Studies on Thermal, Antioxidant, Docking and Biological of New Ligands with Some Metal Complexes
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Publication Date
Sun Nov 01 2020
Journal Name
Iop Conference Series: Materials Science And Engineering
SDN-RA: An Optimized Reschedule Algorithm of SDN Load Balancer for Data Center Networks Based on QoS
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Abstract<p>With the development of cloud computing during the latest years, data center networks have become a great topic in both industrial and academic societies. Nevertheless, traditional methods based on manual and hardware devices are burdensome, expensive, and cannot completely utilize the ability of physical network infrastructure. Thus, Software-Defined Networking (SDN) has been hyped as one of the best encouraging solutions for future Internet performance. SDN notable by two features; the separation of control plane from the data plane, and providing the network development by programmable capabilities instead of hardware solutions. Current paper introduces an SDN-based optimized Resch</p> ... Show More
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Publication Date
Sun Feb 03 2019
Journal Name
Iraqi Journal Of Physics
Thickness and gamma-ray effect on physical properties of CdO thin films grown by pulsed laser deposition
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Polycrystalline Cadmium Oxide (CdO) thin films were prepared
using pulsed laser deposition onto glass substrates at room
temperature with different thicknesses of (300, 350 and 400)nm,
these films were irradiated with cesium-137(Cs-137) radiation. The
thickness and irradiation effects on structural and optical properties
were studied. It is observed by XRD results that films are
polycrystalline before and after irradiation, with cubic structure and
show preferential growth along (111) and (200) directions. The
crystallite sizes increases with increasing of thickness, and decreases
with gamma radiation, which are found to be within the range
(23.84-4.52) nm and (41.44-4.974)nm before and after irradiation for

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Publication Date
Thu Sep 01 2022
Journal Name
Human Gene
Tissue inhibitor of metalloproteinase-1 (TIMP-1) serum level and genetic polymorphisms associated with cutaneous leishmania infections
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Introduction: Cutaneous leishmaniasis is considered a parasitic contagion resulting from the flagellated parasite belonging to the genus of Leishmania. Also, cutaneous leishmaniasis is a zoonotic ailment transmitted through the bloodsucking sand-flies bite (belonging to the Phlebotomus genus). The disease's reservoirs included wild or semi-domesticated animals, in general rodents and dogs. Tissue inhibitor metalloproteinase-1 (TIMP-1) is one of the extracellular matrix proteins that have a role in vessel wall degeneration and aneurysm development. In addition, it belongs to the zinc-dependent endopeptidases family that are involved in the degradation of connective tissues proteins which are included in vascular integrity maintenance. The Ge

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Publication Date
Mon Nov 01 2021
Journal Name
Journal Of Multidisciplinary Healthcare
Development and Initial Validation of Stigma Towards Healthcare Providers Working with COVID-19 Patients Scale (S19-HCPs)
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Publication Date
Wed Apr 01 2009
Journal Name
Journal Of Educational And Psychological Researches
Self-Efficacy of English Language Teachers and Its Effect On their Pupils' AchievementIn Baghdad Secondary Schools/Karkh2
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Teachers' self-efficacy plays a very important role in the process of teaching English language, and teachers have primary role in determining what is needed or what would work best with their students. The sample consists of eighty-seven English language teachers in secondary schools in Baghdad/Kaarkh2. Self-efficacy questionnaire of fifteen items was constructed. Face, content validity and reliability were verified. Then, pupils' marks for the first semester were taken as their achievement.The main finding of the study indicates that:
English language teachers' self-efficacy has effect on their pupils' achievement.
In the light of the findings of the present study, several conclusions, recommendations and suggestions for further

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Publication Date
Sat Dec 01 2018
Journal Name
Indian Journal Of Natural Sciences
Geology and Structure Analysis of Shaqlawa – Merawa Area, Northern Iraq Using Remote Sensing, GIS and Field Observations
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This study appears GIS techniqueand remote sensing data are matching with the field observation to identify the structural features such as fault segments in the urban area such as the Merawa and Shaqlawa Cities. The use of different types of data such as fault systems, drainage patterns (previously mapped), lineament, and lithological contacts with spatial resolution of 30m was combined through a process of integration and index overlay modeling technique for producing the susceptibility map of fault segments in the study area. GIS spatial overlay technique was used to determine the spatial relationships of all the criteria (factors) and subcriteria (classes) within layers (maps) to classify and map the potential ar

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Publication Date
Thu Jun 30 2011
Journal Name
Al-khwarizmi Engineering Journal
Extraction of Zn (II) and Cu (II) Ions Using PEG (300) - KCl Salt Aqueous Two-Phase Systems
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In this paper the process of metal ions extraction (Zn(II) and Cu(II)) was studied in PEG-KCl aqueous two phase system was investigated without using an extracting agent. The experimental runs were performance at constant temperature (25 oC), constant mixing time (30 min), and constant PH of the solution (about 3). The effect of KCl salt concentration (from 10% to 25%), volumetric phase ratio of PEG solution to KCl solution (from 0.5 to 2), and the initial metal ion concentration (from 0.25 ml to 2 ml of 1 gm/L solution) were investigated on the percent extraction of Zn(II) and Cu(II). The results indicated that the percent extraction of metal ions increase with increasing of salt concentration and phase ratio, and slightly de

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Publication Date
Tue Nov 01 2016
Journal Name
Polimery
Synthesis and monomer reactivity ratios of acrylamide with 3-(trimethoxysilyl)propyl methacrylate and tris(methoxyethoxy)vinylsilane copolymers
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Publication Date
Thu Oct 29 2020
Journal Name
Complexity
Training and Testing Data Division Influence on Hybrid Machine Learning Model Process: Application of River Flow Forecasting
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The hydrological process has a dynamic nature characterised by randomness and complex phenomena. The application of machine learning (ML) models in forecasting river flow has grown rapidly. This is owing to their capacity to simulate the complex phenomena associated with hydrological and environmental processes. Four different ML models were developed for river flow forecasting located in semiarid region, Iraq. The effectiveness of data division influence on the ML models process was investigated. Three data division modeling scenarios were inspected including 70%–30%, 80%–20, and 90%–10%. Several statistical indicators are computed to verify the performance of the models. The results revealed the potential of the hybridized s

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