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Dental caries severity in relation to selected salivary variables among a group of pregnant women in Baghdad city/Iraq
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Background: During pregnancy many physiological, anatomical and biochemical changes take place that affect almost all body systems. In the oral pregnant women have serious changes such as more sever dental caries. This study was conducted to measure dental caries severity and selected salivary variables (salivary flow rate, PH and viscosity)and to find the relation of dental caries with these salivary variables. Subjects, materials and methods: The study group consisted of 60 pregnant women that were divided into three equal groups according to trimester (20 pregnant women in each trimester).They were selected randomly from the Maternal and Child Health Care Centers in Baghdad city, the age range was 20-25 years. In addition to 20 unmarried women as a control group and matched with age. Stimulated salivary samples were collected .Then salivary flow rate, pH and viscosity were measured. Dental caries severity was recorded by using Decay, Missing and Filled index (D1-4MFS) using the criteria described by Manjie et al, (1989). Plaque index system by Silness and Löe, (1964) was used for measuring dental plaque thickness. For measuring dental calculus the calculus index component of the periodontal diseases index (PDI) by Ramfjord (1959) was used. Results: Results of the current study revealed that dental caries parameter represented by (DMFT ,DMFS,DS and MS) were higher among pregnant than non –pregnant women with significant differences (p<0.05) for DMFT,DMFS and DS also all grades of lesion severity(D1-4)were higher among pregnant than non –pregnant women with nonsignificant differences(p>0.05).Almost all dental caries parameter were higher in the 2nd trimesters with highly significant difference (p<0.01) for D1,DS ,DMFS and DMFT among four groups . Concerning oral cleanliness both plaque and calculus indices recorded higher values among pregnant than non-pregnant with highly significant difference for both (p<0.01). Values were higher during 2nd trimester with high significant and non-significant differences among four groups .Regarding the relations of dental caries with oral cleanliness ,it was found that all dental caries parameters recorded positive correlations with both plaque and calculus indices with significant and highly significant relations Regarding salivary variables ,results revealed that salivary flow rate was higher among pregnant (especially in the 2nd trimester)than non-pregnant women but with non-significant difference (p>0.05).On the other hand salivary PH value was lower among pregnant than non-pregnant women with highly significant difference (p<0.01)among them. Salivary PH was lowest in the 2nd trimester with highly significant difference (p<0.01) among four groups .Also Salivary viscosity was higher among pregnant than non-pregnant women with highly significant difference (p<0.01) and it recorded higher mean value in the 3rd trimester with highly significant difference among four groups (p<0.01). Salivary PH recorded inverse relation with almost all dental caries parameters with significant relations with D4, MS and highly significant relations with DS,DMFS and DMFT ,while salivary flow rate and salivary viscosity revealed non-significant relations with dental caries parameters (p>0.05). Conclusion: Dental caries severity was higher among pregnant women probably due to the effect of pregnancy itself on oral hygiene (higher plaque and calculus indices) and salivary variables (increased salivary acidity and viscosity).Therefore, intensive education and preventive programs should be directed for pregnant women.

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Publication Date
Wed Nov 01 2023
Journal Name
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Optimizing performance of water-cooled photovoltaic-thermal modules: A 3D numerical approach
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To evaluate and improve the efficiency of photovoltaic solar modules connected with linear pipes for water supply, a three-dimensional numerical simulation is created and simulated via commercial software (Ansys-Fluent). The optimization utilizes the principles of the 1st and 2nd laws of thermodynamics by employing the Response Surface Method (RSM). Various design parameters, including the coolant inlet velocity, tube diameter, panel dimensions, and solar radiation intensity, are systematically varied to investigate their impacts on energetic and exergitic efficiencies and destroyed exergy. The relationship between the design parameters and the system responses is validated through the development of a predictive model. Both single and mult

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Tue Jun 14 2016
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Synthesis and antioxidant activities of Schiff bases and their complexes: a review
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Schiff bases, named after Hugo Schiff, are aldehyde- or ketone-like compounds in which the carbonyl group is replaced by imine or azomethine group. They are widely used for industrial purposes and also have a broad range of applications as antioxidants. An overview of antioxidant applications of Schiff bases and their complexes is discussed in this review. A brief history of the synthesis and reactivity of Schiff bases and their complexes is presented. Factors of antioxidants are illustrated and discussed. Copyright © 2016 John Wiley & Sons, Ltd.

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Preparation of Al2O3 /PVA Nanocomposite Thin Films by a Plasma Jet Method
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Alumina thin films have significant applications in the areas of optoelectronics, optics, electrical insulators, sensors and tribology. The novel aspect of this work is that the homogeneous alumina thin films were prepared in several stages to generate a plasma jet. In this paper, aluminium nanoparticles suspended in vinyl alcohol were prepared using exploding wire plasma. TEM analysis was used to determine the size and shape of particles in aluminium and vinyl alcohol suspensions; the TEM images showed that the particle size is 17.2 nm. Aluminium/poly vinyl alcohol (Al/PVA) thin films were prepared using this suspension on quartz substrate by plasma jet technique at room temperature with an argon gas flow rate of 1 L/min. The Al/PV

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Publication Date
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Publication Date
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Autism Spectrum Disorder, also known as ASD, is a neurodevelopmental disease that impairs speech, social interaction, and behavior. Machine learning is a field of artificial intelligence that focuses on creating algorithms that can learn patterns and make ASD classification based on input data. The results of using machine learning algorithms to categorize ASD have been inconsistent. More research is needed to improve the accuracy of the classification of ASD. To address this, deep learning such as 1D CNN has been proposed as an alternative for the classification of ASD detection. The proposed techniques are evaluated on publicly available three different ASD datasets (children, Adults, and adolescents). Results strongly suggest that 1D

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Publication Date
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Stability and bifurcation of a prey-predator system incorporating fear and refuge
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It is proposed and studied a prey-predator system with a Holling type II functional response that merges predation fear with a predator-dependent prey's refuge. Understanding the impact of fear and refuge on the system's dynamic behavior is one of the objectives. All conceivable steady-states are investigated for their stability. The persistence condition of the system has been established. Local bifurcation analysis is performed in the Sotomayor sense. Extensive numerical simulation with varied parameters was used to explore the system's global dynamics. A limit cycle and a point attractor are the two types of attractors in the system. It's also interesting to note that the system exhibits bi-stability between these 2 types of attractors.

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