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Seroprevalence of Immunoglobulin G (IgG) and Immunoglobulin M (IgM) and Risk Factors of Toxoplasmosis for A sample of Pregnant Women in Baghdad
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Background: Toxoplasmosis is a very common infection caused by the obligate intracellular protozoan parasite. This parasite is called Toxoplasma gondii widely distributed around the world . Toxoplasma gondii can be vertically transmitted to the fetus during pregnancy and may cause wide range of clinical manifestations in the offspring.

Objective: To determine seroprevalence Immunoglobulin G (IgG) and Immunoglobulin M  (IgM ) to toxoplasma gondii among pregnant women and to identify the risk factors.

Type of the study: A cross-sectional study.

Methods: A total of 110 blood samples of pregnant women were collected from private laboratory for Dr. luay Ibrahim to Pathogenesis Analyses in Baghdad Al-Mansour- 14 Ramadan  street . Which obtained during the period from 1st March 2016 till the 30th June 2016. Data was collected by using direct interviewing questionnaire sheet concerning their ages of pregnant women between (less than 20 to more than 40 years old), place of residence ( urban, rural), level of education (illiteracy, literacy), number of pervious abortion (one, two, three or more), contact with ( cat and other domestic animal or no animal in house). The diagnosis is based on IgG and IgM antibodies of Toxoplasma gondii were measured using a commercial Kit ( Cobas Toxo IgG, Toxo IgM) according to the Roche Diagnostic manufacturer's instructions. Each blood was analyzed for the presence of Toxoplasma gondii by identifying serum IgG and IgM antibodies using Enzyme-linked Immunosorbent Assay (ELISA).

Results: A total of 110 pregnant women were enrolled and screened for the presence of anti- toxoplasma IgG and IgM antibodies. The seroprevalence of Toxoplasma gondii IgG and IgM antibodies result revealed that 40 (63.4 %) of 110 pregnant women were positive for anti-toxoplasma-antibody IgG and 70 (63.6 %) of 110 were negative for anti-toxoplasma-antibody-IgG while revealed that 16 (13.6 %) of 110 pregnant women were positive for anti-toxoplasma-antibody IgM and 94 (86.4 %) of 110 were negative for anti-toxoplasma-antibody IgM.

Conclusions: the present study shows that anti-Toxoplasma IgG Ab are higher than anti-Toxoplasma IgM Ab in pregnant women between the age group 20 to 30 years in literacy educational level and rural area also recorded the highest rates of seropositivity among women with only one previously abortion in contact with cats are more affected.

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Publication Date
Sat Aug 06 2022
Journal Name
Ijci. International Journal Of Computers And Information
Techniques for DDoS Attack in SDN: A Comparative Study
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Publication Date
Tue Feb 17 2026
Journal Name
World's Poultry Science Journal
Naringin as a natural growth and health promoter in poultry: a comprehensive review
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Publication Date
Tue Mar 01 2016
Journal Name
Journal Of Natural Sciences Research
Spectrophotometric-Assisted Chemometric Method for the Simultaneous Analysis of Furosemide, Carbamazepine, Diazepam, and Carvedilol in Their Bulk and Marketed Formulation
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Simultaneous determination of Furosemide, Carbamazepine, Diazepam, and Carvedilol in bulk and pharmaceutical formulation using the partial least squares regression (PLS-1 and PLS-2) is described in this study. The two methods were successfully applied to estimate the four drugs in their quaternary mixture using UV spectral data of 84synthetic mixtures in the range of 200-350nm with the intervals Δλ=0.5nm. The linear concentration range were 1-20 μg.mL-1 for all, with correlation coefficient (R2) and root mean squares error for the calibration (RMSE) for FURO, CARB, DIAZ, and CARV were 0.9996, 0.9998, 0.9997, 0.9997, and 0.1128, 0.1292, 0.1868,0.1562 respectively for PLS-1, and for PLS-2 were 0.9995, 0.9999, 0.9997, 0.9998, and 0.1127, 0.

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Publication Date
Sun Mar 31 2024
Journal Name
Iraqi Geological Journal
Permeability Prediction and Facies Distribution for Yamama Reservoir in Faihaa Oil Field: Role of Machine Learning and Cluster Analysis Approach
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Empirical and statistical methodologies have been established to acquire accurate permeability identification and reservoir characterization, based on the rock type and reservoir performance. The identification of rock facies is usually done by either using core analysis to visually interpret lithofacies or indirectly based on well-log data. The use of well-log data for traditional facies prediction is characterized by uncertainties and can be time-consuming, particularly when working with large datasets. Thus, Machine Learning can be used to predict patterns more efficiently when applied to large data. Taking into account the electrofacies distribution, this work was conducted to predict permeability for the four wells, FH1, FH2, F

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Publication Date
Sun Apr 03 2016
Journal Name
Journal Of Educational And Psychological Researches
( the effect of Cognitive Acceleration strategy and random excitement strategy in achievement of geography material and developing the reflective thinking for students of literary fifth class)
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The research aims to find out the effect of Cognitive Acceleration strategy and random excitement strategy in achievement of geography material and developing the reflective thinking for students of literary fifth class . 

  the researcher depended a partial control experimental design with the three groups(the competence groups of the pre & post tests), The sample is deliberately selected  from first AL-Rusafah Directorate General of Education in Baghdad.  AL.fardoos Interme

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Publication Date
Wed Mar 03 2021
Journal Name
Innovative Infrastructure Solutions
Experimental investigation of a new sustainable approach for recycling waste styrofoam food containers in lightweight concrete
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Publication Date
Mon Jan 01 2024
Journal Name
Malaysian Journal Of Nursing
Experiences of Nurses in Providing Care for Patients on the Cancer Journey: A Cross-Sectional Survey
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Publication Date
Wed Jun 30 2021
Journal Name
Journal Of Economics And Administrative Sciences
A proposed model for disclosing the role of the collective intelligence system in improving joint auditing
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This research aims to present a proposed model for disclosure and documentation when performing the audit according to the joint audit method by using the questions and principles of the collective intelligence system, which leads to improving and enhancing the efficiency of the joint audit, and thus enhancing the confidence of the parties concerned in the outputs of the audit process. As the research problem can be formulated through the following question: “Does the proposed model for disclosure of the role of the collective intelligence system contribute to improving joint auditing?”   

The proposed model is designed for the disclosure of joint auditing and the role

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Publication Date
Thu Dec 13 2018
Journal Name
Iraqi National Journal Of Nursing Specialties
A New Measurement Scale for Evaluating Health-Related Quality of Life in Men with Prostate Cancer
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Objectives: This study aimed to identify and study most properties of the specific and general health-related
quality-of-life (HRQoL) in prostate cancer patients, as well as creating a new measurement scale for assessing QoL
among prostate cancer patients.
Methodology: A cross sectional (descriptive) study was conducted to evaluate General Quality of life in patients
with prostate cancer. A sample of 100 prostate cancer patients from Al-Amal National hospital for cancer
management and Oncology Center in Baghdad Medical City. This study applied format of General World Health
Organization Quality of Life-BERF questionnaire. The methods used descriptive statistics to evaluate the General
QoL-Improvements, as well as inf

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Publication Date
Wed Dec 15 2021
Journal Name
Nasaq
A Corpus-Based Approach to the Study of Vocabulary in English Textbooks for Iraqi Intermediate Schools
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Learning the vocabulary of a language has great impact on acquiring that language. Many scholars in the field of language learning emphasize the importance of vocabulary as part of the learner's communicative competence, considering it the heart of language. One of the best methods of learning vocabulary is to focus on those words of high frequency. The present article is a corpus based approach to the study of vocabulary whereby the research data are analyzed quantitatively using the software program "AntWordprofiler". This program analyses new input research data in terms of already stored reliable corpora. The aim of this article is to find out whether the vocabularies used in the English textbook for Intermediate Schools in Iraq are con

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