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Studying of Kidney , Liver Functions and Some Blood Ions In Toxoplasmosis Patients
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The present study was conducted to investigate the effects of toxoplasmosis on liver, kidney and some blood ions such as calcium, potassium & sodium. A total of 100 blood samples were obtained from pregnant women in several health centers in Baghdad city. which consist of 70 seropositive & 30 seronegative/control group, aged between 20 & 47 years old from September 2013 till September 2014. All of these cases were tested to specific antibody to Toxoplasma gondii by using a latex agglutination test and IgM & IgG antibodies using the ELISA technique. The serum samples were examined for liver function (serum aspartate aminotransferase [AST/GOT], serum alanine aminotransferase [ALT/GPT] and serum alkaline phosphatase [ALP]; kidney function (serum creatinine and blood urea), in addition to (calcium, potassium, and sodium) ions. The results showed that the mean levels of ALT, AST, and ALP in addition to urea and creatinine were highly significant increased in the seropositive pregnant women compared with control group. On the other hand, decreased calcium level and increased of potassium level was observed, while there were no significant effects on the level of sodium. We conclude from this study, the toxoplasmosis affects liver, kidney and some blood ions due to the changes on many biochemical parameters in the patients' group

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Publication Date
Sat Jan 01 2022
Journal Name
Indonesian Journal Of Electrical Engineering And Computer Science (ijeecs)
Increasing validation accuracy of a face mask detection by new deep learning model-based classification
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During COVID-19, wearing a mask was globally mandated in various workplaces, departments, and offices. New deep learning convolutional neural network (CNN) based classifications were proposed to increase the validation accuracy of face mask detection. This work introduces a face mask model that is able to recognize whether a person is wearing mask or not. The proposed model has two stages to detect and recognize the face mask; at the first stage, the Haar cascade detector is used to detect the face, while at the second stage, the proposed CNN model is used as a classification model that is built from scratch. The experiment was applied on masked faces (MAFA) dataset with images of 160x160 pixels size and RGB color. The model achieve

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Publication Date
Sat Jan 01 2022
Journal Name
Craniomaxillofacial Research & Innovation
Partial Bone Necrosis Following Sagittal Split Ramus Osteotomy: Report of a Complicated Orthognathic Jaw Surgery
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Study Design

Case Report.

Objective

To present a case of a previous complicated mandibular orthognathic surgery that aimed to setback the mandible in a female cleft lip and palate (CLP) patient, which led to bone necrosis on one side with subsequent severe mandibular deviation and facial asymmetry. We additionally reviewed the previous reports of similar complications, the pathophysiology and the factors that could lead to this dreadful result.

Method

A 27-year-old female patient presented with a severe dentofacial deformity secondary to a complicated bilateral sagittal spli

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Publication Date
Mon May 01 2017
Journal Name
Energy Procedia
A Coupled Model of the Linear Joule Engine with Embedded Tubular Permanent Magnet Linear Alternator
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Publication Date
Sun Jan 01 2023
Journal Name
Alexandria Engineering Journal
Calcium/iron-layered double hydroxides-sodium alginate for removal of tetracycline antibiotic from aqueous solution
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Publication Date
Wed Aug 05 2020
Journal Name
Advances In Structural Engineering
Strength compensation of deep beams with large web openings using carbon fiber–reinforced polymer sheets
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This article presents the results of an experimental investigation of using carbon fiber–reinforced polymer sheets to enhance the behavior of reinforced concrete deep beams with large web openings in shear spans. A set of 18 specimens were fabricated and tested up to a failure to evaluate the structural performance in terms of cracking, deformation, and load-carrying capacity. All tested specimens were with 1500-mm length, 500-mm cross-sectional deep, and 150-mm wide. Parameters that studied were opening size, opening location, and the strengthening factor. Two deep beams were implemented as control specimens without opening and without strengthening. Eight deep beams were fabricated with openings but without strengthening, while

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Publication Date
Fri May 01 2020
Journal Name
International Journal Of Geomate
METHODOLOGY FOR MONITORING THE FLEXURAL BEHAV-IOR OF STRUCTURAL CONCRETE MEMBERS WITH UNBONDED INTERNAL STEEL
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Publication Date
Fri Jan 01 2021
Journal Name
Ieee Access
Multichannel Optimization With Hybrid Spectral- Entropy Markers for Gender Identification Enhancement of Emotional-Based EEGs
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Publication Date
Fri Nov 01 2019
Journal Name
International Journal On Interactive Design And Manufacturing (ijidem)
A real-time automated sorting of robotic vision system based on the interactive design approach
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Publication Date
Sun Jul 12 2020
Journal Name
Medico-legal Update
New Record of the Genus Hydrotaea Robineau-Desvoidy, 1830 (Diptera, Muscidae) from Kerbala City, Iraq
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Publication Date
Sun Mar 02 2014
Journal Name
Baghdad Science Journal
Rapid Detection of Aspergillus flavus isolates producing aflatoxin using UV light on different culture media
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This study included the isolation and identification of Aspergillus flavus isolates associated with imported American rice grains and local corn grains which collected from local markets, using UV light with 365 nm wave length and different media (PDA, YEA, COA, and CDA ). One hundred and seven fungal isolates were identified in rice and 147 isolates in corn.4 genera and 7 species were associated with grains, the genera were Aspergillus ,Fusarium ,Neurospora ,Penicillium . Aspergillus was dominant with occurrence of 0.47% and frequency of 11.75% in rice grains whereas in corn grains the genus Neurospora was dominant with occurrence of 1.09% and frequency 27.25% ,results revealed that 20 isolates out of 50 A. flavus isolates were able

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