Knowledge and Attitudes of Elementary Schoolteachers on Dental Trauma and its Management in Yazd, Iran

Statement of the Problem: School is one of the places with the greatest prevalence of occurrence of traumatic dental injuries. Purpose: The aim of this study was to assess the knowledge levels and attitudes of elementary school teachers towards dental trauma and its management. Materials and Method: In this cross-sectional study, 281 elementary school teachers were selected through cluster sampling to answer the prepared questionnaire. The data obtained from the questionnaires were analyzed in SPSS software by using ANOVA test and t-test. p Value<0.05 was considered to be significant. Results: The total knowledge and attitude were low and normal, respectively. No previous exposure to or close observation of a dental trauma was reported by 61.2% of teachers; while, 12.5% were trained on dental traumas first aid management. There was statistically significant relationship between the teacher’s knowledge and previous first aids training. Conclusion: The knowledge of schoolteachers on emergency management of dental trauma is poor. Therefore, it seems to be helpful to consider the management of dental injuries especially avulsed teeth as a part of teachers' education

Analysis-Aware Approach to Improving Social Data Quality

In the era of real time big data stream processing, the past decade has witnessed emergence of wide variety of applications to tap into live social data feed to gain awareness about events, opinions and sentiments of the community. Social data has the potential to bring new functionalities and improvements in a wide variety of domains from Emergency Response to Political Analysis. Thus, there is an increasing demand for executing up-to-the-minute analysis tasks on top of these dynamic data sources by modern applications. Such new requirements have created new challenges for traditional data processing techniques. In this thesis, we respond to some of these challenges.First, we explore the problem of online adaptive topic focused tweet acquisition. Specifically, we propose a Tweet Acquisition System (TAS), that iteratively selects phrases to track according to a reinforcement learning algorithm. The selection follows an explore-exploit policy to approximate the effectiveness of different phrases in retrieving relevant tweets based on Bayesian inferences. We also develop a tweet relevance model, which enables checking the relevance of collected tweets to the topic of interest based on multiple criteria. The objective of TAS is to improve the recall of collected relevant tweets. Our experimental studies show significant improvements over the state-of-the-art, furthermore the performance gap increases when the topics are more specific.Subsequently, efficient processing of top-k mentioned entities query posed on a stream of tweets has become a key part of a broad class of real-time applications, ranging from content search to marketing. Given that words are often ambiguous, entity linking becomes an important step towards answering such queries. Furthermore, the continuous and fast generation of tweets makes it crucial for such applications to process those queries at an equally fast pace. In order to address these requirements, we propose TkET (pronounced ticket) as an analysis-aware entity linking framework for efficiently answering top-k entities query over Twitter stream in an sliding window fashion. The comprehensive empirical evaluation of the proposed solution demonstrates its significant advantage in terms of efficiency over the traditional techniques for the given problem settings

Investigating the role of technical institute and consultancy in increasing wheat production productivity in Maragheh area

Wheat is the most important crop in the world that plays an important role in rural people's income of Iran. With increasing world population and limitation in arable lands, increase in productivity is main programs to researchers. Therefore modern science and modified technology are the best approach to cover that issue. Active graduates in consulting institutes could be important for enhancing the productivity. For these reasons, 115 farmers and 30 consulting members were randomly selected in order to investigate the effectiveness of the cooperation. The findings indicated that the most important concerns to cooperation were insurance and clear contracts. Also from farmers viewpoints, respect to farmer’s experiences; equipment and updated softwares were effective in accepting new graduates cooperation. In conclusion, the cooperation increased wheat productivity in the survey compared to conventional systems

Numerical simulation of hybrid nanofluid mixed convection in a lid-driven square cavity with magnetic field using high-order compact scheme

In this study, the energy transference of a hybrid Al2O3-Cu-H2O nanosuspension within a lid-driven heated square chamber is simulated. The domain is affected by a horizontal magnetic field. The vertical sidewalls are insulated and the horizontal borders of the chamber are held at different fixed temperatures. A fourth-order accuracy compact method is applied to work out the vorticity-stream function view of incompressible Oberbeck–Boussinesq equations. The method used is validated against previous numerical and experimental works and good agreement is shown. The flow patterns, Nusselt numbers, and velocity profiles are studied for different Richardson numbers, Hartmann numbers, and the solid volume fraction of hybrid nanoparticles. Flow field and heat convection are highly affected by the magnetic field and volume fraction of each type of nanoparticles in a hybrid nanofluid. The results show an improvement of heat transfer using nanoparticles. To achieve a higher heat transmission rate by using the hybrid nanofluid, flow parameters like Richardson number and Hartmann number should be considered

Analytical Solution of Boundary-Layer Flow of a Micropolar Fluid through a Porous Channel

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The Prevalence of Impacted Third Molar, Impaction Angulation, and Impaction Depth in Patients Visiting Dental Clinics and Private Offices in Ghaemshahr, Iran, in 2016

Background & Aims:  The present study aimed to determine the prevalence of impacted third molar as well as impaction angulation and depth. Materials & Methods: In this cross-sectional descriptive study, 261 panoramic radiographs belonging to patients visiting dental clinics and offices in Ghaemshahr, Iran, were evaluated and the presence of impacted wisdom teeth was examined. Moreover, the angulation of impacted teeth, impaction depth, and the relationship of the tooth to the mandibular ramus were recorded. The data were recorded, collected, and statistically analyzed in SPSS 22 using the non-parametric chi-square test. p <0.05 was considered significant. Results: Of the 261 patients entering the study, 52 (17.69%) had at least one impacted tooth. Of the total number of patients with impacted teeth, 31 were women (mean prevalence of 19.87% of the total population of women) and 21 were men (15.22% of the total population of men), showing no significant difference (p=0.29). In terms of impaction depth based on Pell and Gregory’ classification, Class C impaction depth was the most prevalent in the maxilla, while Class A was the most prevalent in the mandible. The most prevalent impaction in terms of angulation in relation to the second molar was vertical in the maxilla and vertical and mesioangular in the mandible. Conclusion: Based on results, the prevalence of impacted wisdom teeth in patients was 17.69%. This may not be a striking amount, but it is still of significance since the possible complications of impacted teeth are costly and problematic

The Effects of Leucine, Zinc, and Chromium Supplements on Inflammatory Events of the Respiratory System in Type 2 Diabetic Rats.

Diabetes mellitus is a major cause of serious micro- and macrovascular diseases that affect nearly every system in the body, including the respiratory system. Non-enzymatic protein glycation due to hyperglycaemic stress has fundamental implications due to the large capillary network and amount of connective tissue in the lung. The current study was designed to determine whether leucine, zinc, and chromium supplementations influence the function and histological structure of the respiratory tract in a rat model of type 2 diabetes. Seventy-seven rats were divided into eleven groups, consisting of 7 animals each. One group served as negative control and insulin and glibenclamide were used as positive control drugs. Thus, eight groups received the nutritional supplements alone or in combination with each other. Nutritional supplements and glibenclamide were added to the drinking water and neutral protamine Hagedorn insulin was subcutaneously injected during the 4 weeks of treatment period. The induction of type 2 diabetes in the rats caused an infiltration of mononuclear cells and edema in the submucosa of the trachea and lung, severe fibrosis around the vessels and airways, and perivascular and peribronchial infiltration of inflammatory cells and fibrin. In the diabetic group, the total inflammation score and Reid index significantly increased. Diabetes induction significantly reduced the total antioxidant status and elevated the lipid peroxidation products in the serum, lung lavage and lung tissue of the diabetic animals. Treatment with nutritional supplements significantly decreased the histopathological changes and inflammatory indices in the diabetic animals. Supplementation of diabetic rats with leucine, zinc, and chromium, alone and in combination, significantly increased the total antioxidant status and lipid peroxidation level in the diabetic animals. The nutritional supplements improved the enzymatic antioxidant activity of catalase, glutathione peroxidase, myeloperoxidase, and superoxide dismutase in the diabetic rats. The present results demonstrate beneficial effects and amelioration of inflammation in the respiratory system of type 2 diabetic rats by leucine, zinc, and chromium supplements, probably due to their hypoglycaemic and antioxidant properties. Using safe and effective nutritional supplements, such as leucine, chromium and zinc, to replace proven conventional medical treatments may help to control diabetes and/or its complications