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The oral health and periodontal diseases awareness and knowledge in the Iraqi population: Online‐based survey
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Abstract<sec><title>Objectives

This study aimed to evaluate oral health (OH) and periodontal diseases (PD) awareness in the Iraqi population.

Material and methods

This study was a questionnaire‐based online survey of two weeks duration. The questionnaire was built using a Google platform and was distributed randomly via social media (Facebook and Telegram). The questionnaire consisted of a demographic data section and two other main sections for the evaluation of OH and PD awareness. Each response was marked with “1” for a positive answer and “0” for the other answers. For each respondent, answers were summed to give an overall score. The frequency of positive responses was used to determine the association of awareness with demographic data and the level of awareness into low, moderate, and high levels.

Results

A total of 1,465 were included in the final analysis after application of exclusion criteria. The respondents showed significantly higher levels of awareness about PD (mean ± SD = 3.66 ± 1.42) than OH awareness (mean ± SD = 2.19 ± 1.29). Analysis of data showed that OH awareness was mainly associated with high degree holders (OR 1.851) and age > 45 years (OR 1.730). However, PD awareness did not show any evident association with demographic variables investigated. In general, the respondents exhibited low levels of OH knowledge and low to moderate level of PD knowledge.

Conclusions

Despite limitations, this study revealed inappropriate levels of OH and PD awareness and knowledge in the Iraqi population and provided the baseline data necessary for the development of Governmental educational programs and health awareness campaigns which are highly suggested particularly focusing on the primary and high schools, in an attempt to improve the levels of awareness.

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Fri Sep 15 2023
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Drawing inspiration from organic natural forms in stereoscopic sculptures (A survey according to Evo-devo science)
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By reading the book (Endless Forms Most Beautiful: The New Science of Evo Devo) by Sean B. Carroll, new horizons opened up about the nature of the formation of the living organism. Although he presented the idea that the artist was influenced by the material assets of nature in his holographic art formations, the new science of Evo-Devo (Evolutionary Developmental Science) provided models worth standing on when comparing the similarity of the formation of living organisms on the one hand, and the formation of works of art with holographic organic bodies on the other. But the excitement lies in the fact that the formation of living natural organisms is often driven by subtle intelligent mechanisms that are different from the mechanisms us

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Fri Dec 15 2023
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The use of metal in ancient Syria in the manufacture of jewelry (ornamental tools in the third and second millennium BC and the molds used in their manufacture)
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Publication Date
Mon Mar 13 2017
Journal Name
Journal Of Baghdad College Of Dentistry
Gingival health condition and salivary physical properties among a group of patients with intermaxillary fixation in tow times intervals (Follow up study)
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Publication Date
Fri Dec 01 2017
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
The Roleof Time Management in Stages Claims Settlement of Insurance from Fire: Research Exploratory in General Iraqi Insurance Company and Private Al hamra Company for Insurance
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Publication Date
Mon Dec 25 2017
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Extraction, Identification and Isolation of B-sitosterol from Iraqi Wild Awsaj plant (Lycium barbarum) Using UAE (Probe and Bath) and two isolation technique (HPTLC and PHPLC): B-sitosterol in Iraqi Awsaj plant
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Publication Date
Mon Feb 04 2019
Journal Name
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Image Watermarking based on Huffman Coding and Laplace Sharpening
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Thu May 31 2012
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Channel Estimation and Prediction Based Adaptive Wireless Communication Systems
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Publication Date
Tue Oct 04 2022
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Plain, Edge, and Texture Detection Based on Orthogonal Moment
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Image pattern classification is considered a significant step for image and video processing.Although various image pattern algorithms have been proposed so far that achieved adequate classification,achieving higher accuracy while reducing the computation time remains challenging to date. A robust imagepattern classification method is essential to obtain the desired accuracy. This method can be accuratelyclassify image blocks into plain, edge, and texture (PET) using an efficient feature extraction mechanism.Moreover, to date, most of the existing studies are focused on evaluating their methods based on specificorthogonal moments, which limits the understanding of their potential application to various DiscreteOrthogonal Moments (DOMs). The

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