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Depression status in relation to dental caries and salivary C-Reactive Protein among 17 years old secondary school female in Baghdad City/Iraq.
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Background: Depression is a state of low mood and aversion to activity, it can affect a person's thoughts, behavior and sense of well-being. It can affect oral health and lead to an increased risk of dental caries. Dental caries is the most common oral infectious diseases that stresses the immune system and causes changes in cellular and molecular components of peripheral blood and C-Reactive Protein is one of these components, considered a key biomarker of inflammation. This study was conducted to assess the effect of depression status on dental caries among 17 years old secondary school female students in relation to salivary C-Reactive Protein. Materials and Methods: A cross sectional study was carried and the whole sample composed of 500 female students selected from First Alrasafa Directorate schools in Baghdad/ Iraq. Consent form was achieved from the ethical approval committee in College of Dentistry/University of Baghdad. All students were subjected to Children Depression Inventory questionnaire by Kovacs in 2011. Dental caries was registered according to Manji et al. 1989, Decay (1-4) Missing-Filled surface index. Subsamples were selected from high and low grade of depression to analyze C-Reactive Protein. Results: The percentage of occurrence of depression was 100%. The mean value of caries experience and severity were found to be higher among female students with high depression grade in comparison with low depression grade. The mean value for C-Reactive Protein was higher in high depression grade. There is a diversity in the results of caries experience with C-Reactive Protein. The percentage of depression occurrence was 100% which means a high degree of depression, and this could be due to the life difficulties, tension and economic issues that all lead to mental problems. The severity of dental caries increased as a result of stress and anxiety that may cause poor dental health. Psychological factors interact through complex pathophysiological and behavioral mechanisms that may cause elevated C-Reactive Protein. Conclusion: Depression has a negative impact on a person’s oral health including dental caries. Elevated C-Reactive Protein levels have been associated with psychological depression.

 

 

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Publication Date
Sun Jan 01 2023
Journal Name
Journal Of The Mechanical Behavior Of Materials
Transient response and performance of prestressed concrete deep T-beams with large web openings under impact loading
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Abstract<p>This study reports testing results of the transient response of T-shape concrete deep beams with large openings due to impact loading. Seven concrete deep beams with openings including two ordinary reinforced, four partially prestressed, and one solid ordinary reinforced as a reference beam were fabricated and tested. The effects of prestressing strand position and the intensity of the impact force were investigated. Two values for the opening’s depth relative to the beam cross-section dimensions were inspected under the effect of an impacting mass repeatedly dropped from different heights. The study revealed that the beam’s transient deflection was increased by about 50% with gre</p> ... Show More
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Publication Date
Thu Jun 15 2023
Journal Name
Journal Of Baghdad College Of Dentistry
Antibacterial and cytotoxic effect of a novel biological Nano-silver fluoride synthesized from moringa oleifera leaf extract
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Publication Date
Mon May 30 2022
Journal Name
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Antioxidant and Antineoplastic Activities of Hibiscus sabdariffa Linn. Petal Extracts against Oral Squamous Cell Carcinoma Cell Line
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The hydrological process has a dynamic nature characterised by randomness and complex phenomena. The application of machine learning (ML) models in forecasting river flow has grown rapidly. This is owing to their capacity to simulate the complex phenomena associated with hydrological and environmental processes. Four different ML models were developed for river flow forecasting located in semiarid region, Iraq. The effectiveness of data division influence on the ML models process was investigated. Three data division modeling scenarios were inspected including 70%–30%, 80%–20, and 90%–10%. Several statistical indicators are computed to verify the performance of the models. The results revealed the potential of the hybridized s

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The development of new homogenous and heterogeneous catalytic processes for the treatment of low grade palm oil
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Publication Date
Sat Apr 01 2023
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Intrusion detection method for internet of things based on the spiking neural network and decision tree method
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The prevalence of using the applications for the internet of things (IoT) in many human life fields such as economy, social life, and healthcare made IoT devices targets for many cyber-attacks. Besides, the resource limitation of IoT devices such as tiny battery power, small storage capacity, and low calculation speed made its security a big challenge for the researchers. Therefore, in this study, a new technique is proposed called intrusion detection system based on spike neural network and decision tree (IDS-SNNDT). In this method, the DT is used to select the optimal samples that will be hired as input to the SNN, while SNN utilized the non-leaky integrate neurons fire (NLIF) model in order to reduce latency and minimize devices

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