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Salivary tumor marker CA15-3 and selected elements in relation to oral health status among a group of breast cancer women
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Background: Breast cancer is the commonest type of malignancy worldwide and in Iraq. It is a serious disease that affects the general health and cause systemic changes that affect the physical and chemical properties of saliva leading to adverse effects on oral health. This study was conducted toassess the tumor marker CA15-3 and selected elements in saliva and their relation to oral health status among breast cancer patients compared to control group. Materials and Methods: The total sample consisted of 60 women aged 35-45 years. 30 women were newly diagnosed with breast cancer before taking any treatment and surgery (study group) and 30 women without clinical signs and symptoms of breast cancer as a control group. Dental caries was recorded using DMFS index of WHO1987, andperiodontal parameters which include plaque index (PlI), calculus index (CalI), gingival index (GI), and Ramfjod index for the loss of periodontal attachment (CAL) were recorded.Stimulated salivary samples were collected and salivary flow rate, salivary CA15-3 and selected elements were determined. Results: Caries experience (DMFS) was higher among the study group compared with the control group but the difference was statistically not significant.The mean values of plaque index, calculus index, gingival index and loss of attachment were higher among the study group than the control group with a highly significant difference(P<0.01). The concentrations of the tumor marker CA15-3 in saliva of breast cancer patients were highly significantly higher than that of the controls. The salivary flow rate was observed to be lower among study group compared to control group with a highly significant difference (P<0.01). Higher concentrations of salivary phosphorus, copper and total proteins were recorded among study group compared to control with statistically highly significant differences concerning phosphorus and copper. While salivary calcium and zinc were lower among study group compared to control group with statistically highly significant difference concerning zinc Conclusions: This study showed that the breast cancer patients had poor oral hygiene and higher rates of periodontal diseases and dental caries. In addition, the results of this study could support the concept that salivary concentrations of CA15–3 might serve to be used in the detection of breast cancer and/or the post-operative follow-up of patients under treatment for carcinoma of the breast.

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Publication Date
Wed Jun 01 2011
Journal Name
Journal Of Al-nahrain University Science
A Lexical and Syntax Checker Tool for the Hyper Text Markup Language
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Publication Date
Thu Dec 09 2021
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Algae Bioactive Constituents and Possible Role During COVID-19 Pandemic (A review)
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Nowadays, the use of natural bio-products in pharmaceuticals is gaining popularity as safe alternatives to chemicals and synthetic drugs. Algal products are offering a pure, healthy and sustainable choice for pharmaceutical applications. Algae are photosynthetic microorganisms that can survive in different environmental conditions. Algae have many outstanding properties that make them excellent candidate for use in therapeutics. Algae grow in fresh and marine waters and produce in their cells a wide range of biologically active chemical compounds. These bioactive compounds are offering a great source of highly economic bio-products. The prese
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Publication Date
Sun Jan 30 2022
Journal Name
Iraqi Journal Of Science
A Survey on Arabic Text Classification Using Deep and Machine Learning Algorithms
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    Text categorization refers to the process of grouping text or documents into classes or categories according to their content. Text categorization process consists of three phases which are: preprocessing, feature extraction and classification. In comparison to the English language, just few studies have been done to categorize and classify the Arabic language. For a variety of applications, such as text classification and clustering, Arabic text representation is a difficult task because Arabic language is noted for its richness, diversity, and complicated morphology. This paper presents a comprehensive analysis and a comparison for researchers in the last five years based on the dataset, year, algorithms and the accuracy th

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Publication Date
Sun Jun 02 2019
Journal Name
Baghdad Science Journal
Fog Computing Resource Optimization: A Review on Current Scenarios and Resource Management
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            The unpredictable and huge data generation nowadays by smart computing devices like (Sensors, Actuators, Wi-Fi routers), to handle and maintain their computational processing power in real time environment by centralized cloud platform is difficult because of its limitations, issues and challenges, to overcome these, Cisco introduced the Fog computing paradigm as an alternative for cloud-based computing. This recent IT trend is taking the computing experience to the next level. It is an extended and advantageous extension of the centralized cloud computing technology. In this article, we tried to highlight the various issues that currently cloud computing is facing. Here

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Publication Date
Tue Aug 07 2018
Journal Name
Oral And Maxillofacial Surgery
Mandibular war injuries caused by bullets and shell fragments: a comparative study
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Publication Date
Tue Aug 07 2018
Journal Name
Oral And Maxillofacial Surgery
Mandibular war injuries caused by bullets and shell fragments: a comparative study
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Publication Date
Sun Jun 01 2014
Journal Name
Journal Of Economics And Administrative Sciences
Comparing Bayesian methods to estimate the failure probability for electronic systems in case the life time data are not available
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In this research, we find the Bayesian formulas and the estimation of Bayesian expectation for product system of Atlas Company.  The units of the system have been examined by helping the technical staff at the company and by providing a real data the company which manufacturer the system.  This real data include the failed units for each drawn sample, which represents the total number of the manufacturer units by the company system.  We calculate the range for each estimator by using the Maximum Likelihood estimator.  We obtain that the expectation-Bayesian estimation is better than the Bayesian estimator of the different partially samples which were drawn from the product system after  it checked by the

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Publication Date
Sun Jun 01 2014
Journal Name
Ibn Al-haitham Jour. For Pure & Appl. Sci.
Reducing False Notification in Identifying Malicious Application Programming Interface(API) to Detect Malwares Using Artificial Neural Network with Discriminant Analysis
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Publication Date
Sat Dec 01 2012
Journal Name
Journal Of Economics And Administrative Sciences
Comparison between the empirical bayes method with moments method to estimate the affiliation parameter in the clinical trials using simulation
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In this research the Empirical Bayes method is used to Estimate the affiliation parameter in the clinical trials and then we compare this with the Moment Estimates for this parameter using Monte Carlo stimulation , we assumed that the distribution of the observation is binomial distribution while the distribution with the unknown random parameters is beta distribution ,finally we conclude that the Empirical bayes method for the random affiliation parameter is efficient using Mean Squares Error (MSE) and for different Sample size .

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Publication Date
Fri Jan 01 2016
Journal Name
Plantarchives
Communicational sources used by the agricultural agent to transfer agricultural infromation for rice farmers in Alabbassia / Najaf Al-Ashraf Governorate
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