Background: Oral health represents an important base for human well-being; the heath of the body begins from oral cavity. Great deal has been applied to increase knowledge in the field of oral health in order to develop appropriate preventive program. This study was conducted in order to estimate the percentage and severity of dental caries and gingivitis among children attending Preventive Department in Collage of Dentistry, University of Baghdad and to determine dental treatment need for those patients, further more to study the relation of these variables with dental knowledge. Materials and Methods: The study group consists of 163 children with an age ranged from 6 to 14 years, who attended the preventive clinic for the first time to be involved in preventive program. Plaque index and gingival index were applied for examination of dental plaque and gingivitis, dental caries and treatment need was recorded according to criteria described by WHO. Dental knowledge of each child was evaluated by ten questions prepared for this reason. Results: The results showed that caries-experience among permanent teeth represented by DS and DMFS were (3.22 ± 0.31 and 4.09 ± 0.35) respectively, while caries-experience among deciduouse teeth represented by ds and dmfs were (6.79 ± 0.61 and 9.03 ± 0.81) respectively. Analysis of variance (one way ANOVA test-) showed that caries experience among permanent teeth increased with age (P < 0.001), while caries-experience among deciduous teeth decreased with age (P ˂0.001). The majority of studied sample were in need for one surface filling (93%) followed by two or more surface filling (66%). High percentage of children involved in this study had mild accumulation of plaque and mild gingivitis (69.93% and 83.43%) respectively. Evaluation of dental knowledge among those children showed that 67% of them had good dental knowledge (scores ˃5), but weak correlations were recorded between good dental knowledge and caries experience for deciduous teeth(r=0.12, P > 0.05) and for permanent teeth (r=0.22, P<0.05).The same correlation was recorded between dental plaque and dental knowledge (r=0.05, P> 0.05). Conclusion: those children need further motivation and instructions to improve their dental knowledge and to improve their attitude to change their behavior towards further improvement of oral hygiene and oral health.
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Field of translation is sampled with many types of translation, such as the literary, scientific, medical, etc. The translation of grammatical aspects has always been with difficulties.
Political translation is the focus here. There are many general problems faced by translators when translating political texts from Arabic into Spanish. The aim here is to clarify the definition of functions or terms within the text, and to arrive at the correct from of translation of such texts from Spanish into Arabic. It is worth mentioning that the paper is of two parts: the first exemplifies what is meant by translation, the prerequisites of a translator, along with mentioning the methods followed&nbs
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We study in this paper the composition operator that is induced by ?(z) = sz + t. We give a characterization of the adjoint of composiotion operators generated by self-maps of the unit ball of form ?(z) = sz + t for which |s|?1, |t|<1 and |s|+|t|?1. In fact we prove that the adjoint is a product of toeplitz operators and composition operator. Also, we have studied the compactness of C? and give some other partial results.
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Churning of employees from organizations is a serious problem. Turnover or churn of employees within an organization needs to be solved since it has negative impact on the organization. Manual detection of employee churn is quite difficult, so machine learning (ML) algorithms have been frequently used for employee churn detection as well as employee categorization according to turnover. Using Machine learning, only one study looks into the categorization of employees up to date. A novel multi-criterion decision-making approach (MCDM) coupled with DE-PARETO principle has been proposed to categorize employees. This is referred to as SNEC scheme. An AHP-TOPSIS DE-PARETO PRINCIPLE model (AHPTOPDE) has been designed that uses 2-stage MCDM s
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<span lang="EN-US">The need for robotics systems has become an urgent necessity in various fields, especially in video surveillance and live broadcasting systems. The main goal of this work is to design and implement a rover robotic monitoring system based on raspberry pi 4 model B to control this overall system and display a live video by using a webcam (USB camera) as well as using you only look once algorithm-version five (YOLOv5) to detect, recognize and display objects in real-time. This deep learning algorithm is highly accurate and fast and is implemented by Python, OpenCV, PyTorch codes and the Context Object Detection Task (COCO) 2020 dataset. This robot can move in all directions and in different places especially in
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This paper aims to propose a hybrid approach of two powerful methods, namely the differential transform and finite difference methods, to obtain the solution of the coupled Whitham-Broer-Kaup-Like equations which arises in shallow-water wave theory. The capability of the method to such problems is verified by taking different parameters and initial conditions. The numerical simulations are depicted in 2D and 3D graphs. It is shown that the used approach returns accurate solutions for this type of problems in comparison with the analytic ones.
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