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Nutritional Status among a Group of Preschool Children in Relation to Concentration of Selected Elements in Saliva and Caries Severity (A Comparative Study)
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Background: Nutritional status during childhood is very important for individual development and growth. Nutrition has local and systemic effect on the oral health by affecting dental health and salivary composition. This study was aimed to determine effect of iron, sodium and potassium ions in saliva on the nutritional status and to determine the effect of nutritional status on caries severity among preschool children. Material and Methods: The sample consists of 90 children aged 4 and 5 years of both genders, selected from 6 kindergartens in Al-Resafa aspect of Baghdad province. Children classified according to their nutritional status into three groups (normalweight, underweight and overweight). Nutritional status was determined by using body mass index BMI that achieved from height and weight (weight (Kg)/height (m)2). Assessment and recording of caries experience was done by the application of decayed, missing, filled index (dmfs for primary teeth). The diagnosis of dental caries was done according to (d1-4 mfs) criteria for primary teeth. Stimulated saliva was collected from children between 9-11 AM under standardized conditions and chemically analyzed to determine the concentration of iron, sodium and potassium calorimetrically by using ready-made kits and spectrophotometer machine. Data were analyzed using SPSS version 19. Results: Concentration of sodium, potassium and iron ions were (46.64 mg/dl ± 18.00, 31.22 mg/dl ± 9.84, 17.76µg/dl ± 3.17) respectively. From the elements measured in saliva only sodium ions recorded statistically significant difference among the three groups of nutritional status. By application of LSD, the significant difference was found to be between normal weight and overweight groups (46.33 mg/dl ± 17.18, 40.64 mg/dl ± 14.79) respectively (P<0.05). Furthermore, positive and statistically significant correlations were recorded between sodium ions with BMI mean of overweight group on one hand (r=- 0.125, P<0.05) and iron ions and normal weight group on other hand (r=0.362, P<0.05). Recording and diagnosis of dental caries showed that means of ds, ms, dmfs, d2s and d4s were significantly higher among children aged 5 years than those aged 4 years. In addition to that means of ds, ms, dmfs and d2s were significantly differ among the three groups of nutrition. Application of LSD test showed that those means were higher among underweight group than others. Conclusion: Concentration of sodium ions in saliva changed according to nutritional status. On the other hand nutritional status may affect caries severity, where underweight children suffering from dental caries more than normalweight and overweight children. Key words: Nutritional status, concentration of iron, sodium and potassium in saliva, Severity of caries.

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Publication Date
Mon Apr 10 2023
Journal Name
The European Physical Journal Plus
Improved performance of D149 dye-sensitized ZnO-based solar cell under solvents activation effect
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Publication Date
Wed Feb 03 2021
Journal Name
Structural Concrete
Finite element analysis of rectangular RC beams strengthened with FRP laminates under pure torsion
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Publication Date
Mon Apr 17 2023
Journal Name
International Journal Of Veterinary Science And Medicine
Donor variability of ovine bone marrow derived mesenchymal stem cell - implications for cell therapy
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Publication Date
Tue Oct 26 2021
Journal Name
Periodicals Of Engineering And Natural Sciences (pen)
Achieving urban sustainability by revitalizing the performance of Islamic geometric pattern on residential façades
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Publication Date
Wed Mar 18 2020
Journal Name
Baghdad Science Journal
Solving Linear Volterra – Fredholm Integral Equation of the Second Type Using Linear Programming Method
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In this paper, a new technique is offered for solving three types of linear integral equations of the 2nd kind including Volterra-Fredholm integral equations (LVFIE) (as a general case), Volterra integral equations (LVIE) and Fredholm integral equations (LFIE) (as special cases). The new technique depends on approximating the solution to a polynomial of degree  and therefore reducing the problem to a linear programming problem(LPP), which will be solved to find the approximate solution of LVFIE. Moreover, quadrature methods including trapezoidal rule (TR), Simpson 1/3 rule (SR), Boole rule (BR), and Romberg integration formula (RI) are used to approximate the integrals that exist in LVFIE. Also, a comparison between those

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Publication Date
Sat Jan 25 2025
Journal Name
Indonesian Journal Of Chemistry
Synthesis of CuO Nanoparticles from Copper(II) Schiff Base Complex: Evaluation via Thermal Decomposition
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Copper oxide (CuO) nanoparticles were synthesized through the thermal decomposition of a copper(II) Schiff-base complex. The complex was formed by reacting cupric acetate with a Schiff base in a 2:1 metal-to-ligand ratio. The Schiff base itself was synthesized via the condensation of benzidine and 2-hydroxybenzaldehyde in the presence of glacial acetic acid. This newly synthesized symmetric Schiff base served as the ligand for the Cu(II) metal ion complex. The ligand and its complex were characterized using several spectroscopic methods, including FTIR, UV-vis, 1H-NMR, 13C-NMR, CHNS, and AAS, along with TGA, molar conductivity and magnetic susceptibility measurements. The CuO nanoparticles were produced by thermally decomposing the

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Publication Date
Mon Oct 01 2018
Journal Name
Iraqi Journal Of Physics
Synthesis of gold nanoparticles by laser ablation on porous silicon for sensing CO2 gas
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In this research, porous silicon (PS) prepared by anodization etching on surface of single crystalline p-type Si wafer, then Gold nanoparticle (AuNPs) prepared by pulsed laser ablation in liquid. NPs deposited on PS layer by drop casting. The morphology of PS, AuNPs and AuNPs/PS samples were examined by AFM. The crystallization of this sample was characterized by X-ray diffraction (XRD). The electrical properties and sensitivity to CO2 gas were investigated to Al/AuNPs/PS/c-Si/Al, we found that AuNPs plays crucial role to enhance this properties.

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Publication Date
Sat Mar 30 2024
Journal Name
Iraqi Journal Of Science
Antifungal Activity of Trichoderma orientale FMR 12486 Crude Extract against Some Human Pathogenic Fungi
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This work aimed to investigate the prevalence of pathogenic fungi and evaluate the antifungal activity of Trichoderma orientale FMR12486 crude extract against pathogenic fungi isolated from patients attending the National Center for Thoracic and Respiratory Diseases (having a history of tuberculosis) and consultant of Dermatology of Baghdad hospital, Iraq. A total of 80 clinical specimens were collected: 20 skin scrapings specimens and 60 sputum specimens. The results of direct examination by KOH 10% and culture showed that 11 (55%) cases from 20 skin specimens were positive for fungal infections, while in the sputum specimens, 28 (47%) cases from 60 were positive. Candida albicans represented the most common fungal infection isolat

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Publication Date
Tue Apr 01 2025
Journal Name
Al-kindy College Medical Journal
Al-Kindy College Medical Journal: An Audit of Publications for One Decade (2015-2024)
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The Al-Kindy College Medical Journal (KCMJ) is an Iraqi scholarly journal published by the Al-Kindy College of Medicine, University of Baghdad. It was officially founded in 2004. It is a peer-reviewed journal, published in both online and printed forms. It has a mission to offer a publication platform that mirrors recent knowledge and findings in the field of medicine and medical sciences. It publishes various types of articles, including editorial, review article, research article, brief report, case report, and letter to editor. It accepts articles in the English language. It was biannually published till 2021 when it started to launch three issues per year. The journal is registered with numerous partners, including Iraqi Academi

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Publication Date
Fri Nov 01 2024
Journal Name
Process Safety And Environmental Protection
Optimized ensemble deep random vector functional link with nature inspired algorithm and boruta feature selection: Multi-site intelligent model for air quality index forecasting
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