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Microdebrider-assisted turbinoplasty versus submucosal diathermy in treatment of inferior turbinate hypertrophy
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The surgical treatment of inferior turbinate hypertrophy (ITH) is challenging. Submucosal diathermy (SMD) is a well-known surgical procedure used for the treatment of ITH, microdebrider-assisted rhinoplasty (MAT) is relatively a newer technique used in the management of ITH. To evaluate the effect of MAT on inferior turbinate size and nasal airway patency in patients with bilateral ITH in comparison to SMD. Seventy-one patients presented with nasal obstruction due to bilateral ITH were allocated into two groups, group a (35 patients) were subjected to SMD and 36 patients in group B were subjected to MAT. All the patients had been sent to CT scan pre-operatively and at the third postoperative month to measure the cross-sectional areas of the inferior turbinate, also the subjective assessment of nasal airway patency was done by visual analog scale (VAS) preoperatively and at the end of 3ed post-operative month. The mean cross-sectional area of IT decreased from 163 mm2 pre- operatively to 149.67 mm2 at the 3ed post-operative month in group A (P-value =0.02), and from 163.67 mm2 to 131mm2 in group B (P value= 0.004). Intergroup comparison had shown that there was a significant difference between MAT and SMD in decreasing the size of IT and relieving nasal obstruction at the 3ed postoperative month (p-value = 0.026 and 0.021 respectively). In conclusion, both MAT and SMD are effectively decreasing the size of the inferior turbinate and relieving nasal obstruction but with superior results in MAT.

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Publication Date
Wed Jan 01 2020
Journal Name
Journal Of King Saud University - Science
Three iterative methods for solving second order nonlinear ODEs arising in physics
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Publication Date
Thu Mar 01 2018
Journal Name
Tribology International
Discriminating gasoline fuel contamination in engine oil by terahertz time-domain spectroscopy
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Publication Date
Wed Dec 01 2021
Journal Name
Baghdad Science Journal
Using Fuzzy Clustering to Detect the Tumor Area in Stomach Medical Images
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Although the number of stomach tumor patients reduced obviously during last decades in western countries, but this illness is still one of the main causes of death in developing countries. The aim of this research is to detect the area of a tumor in a stomach images based on fuzzy clustering. The proposed methodology consists of three stages. The stomach images are divided into four quarters and then features elicited from each quarter in the first stage by utilizing seven moments invariant. Fuzzy C-Mean clustering (FCM) was employed in the second stage for each quarter to collect the features of each quarter into clusters. Manhattan distance was calculated in the third stage among all clusters' centers in all quarters to disclosure of t

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Publication Date
Tue Oct 12 2021
Journal Name
Innovative Infrastructure Solutions
Facilitating claims settlement using building information modeling in the school building projects
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Publication Date
Tue Jan 17 2017
Journal Name
British Journal Of Cancer
Aurora B expression modulates paclitaxel response in non-small cell lung cancer
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Publication Date
Sun Oct 01 2023
Journal Name
Baghdad Science Journal
Ghrelin and Obestatin Levels as a Novel Marker in Iraqi Obese Children
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Obesity is an escalating health problem in developing countries. One to ten children worldwide are overweight in a report showed by the International Obesity Task Force. Ghrelin, orexigenic peptide, has 28 amino acids, it is considered the greatest remarkable promotion in the last two decades for understanding the physiological changes of action regu­lating food intake and hunger. Obestatin is a 23-amino acid peptide nearly connected to ghrelin that secures from substitutio

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Publication Date
Thu Dec 01 2022
Journal Name
Baghdad Science Journal
Diagnosing COVID-19 Infection in Chest X-Ray Images Using Neural Network
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With its rapid spread, the coronavirus infection shocked the world and had a huge effect on billions of peoples' lives. The problem is to find a safe method to diagnose the infections with fewer casualties. It has been shown that X-Ray images are an important method for the identification, quantification, and monitoring of diseases. Deep learning algorithms can be utilized to help analyze potentially huge numbers of X-Ray examinations. This research conducted a retrospective multi-test analysis system to detect suspicious COVID-19 performance, and use of chest X-Ray features to assess the progress of the illness in each patient, resulting in a "corona score." where the results were satisfactory compared to the benchmarked techniques.  T

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Publication Date
Mon Jan 01 2024
Journal Name
Ieee Access
Enhancing Speed and Imperceptibility in Watermarking Systems by Leveraging Galois Field Tables
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Publication Date
Sat Jan 01 2022
Journal Name
Biomed Research International
Zerumbone‐Loaded Nanostructured Lipid Carrier Gel Enhances Wound Healing in Diabetic Rats
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This study investigated the healing effects of topical application of zerumbone, a well‐known anti‐inflammatory compounds loaded on nanostructured lipid carrier gel (Carbopol 940) (ZER‐NLCG) on excisional wounds in streptozotocin‐induced diabetic rats. Diabetic rats with inflicted superficial skin wound were topically treated with ZER‐NLCG, empty NLCG, and silver sulfadiazine cream (SSDC) once daily for 21 days. Wound tissue samples were analyzed for proinflammatory cytokines, namely, interleukin‐6 (IL‐6), interleukin‐1 β (IL‐1β), and tumor necrosis factor‐α (TNF‐α), hydroxyproline contents, catalase,

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Publication Date
Sun Dec 01 2019
Journal Name
Iop Conference Series: Materials Science And Engineering
Place dependence as the physical environment role function in the place attachment
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Abstract<p>This research sheds light on the physical environment role in creating the place attachment, by discussing one of the important factors in the attachment creation, it is the concept place dependence, consisting of two important dimensions: the place quality and the place expectation; they contain a number of the supporter physical environment sub-indicators for place attachment. Eight physical indicators were reached; they were found to have a close relationship to the place attachment, including: the open and green spaces existence, land use diversity, diversity of housing types, dwelling / population density, accessibility, transport network development degree, transport multiple mo</p> ... Show More
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