Background: Dental anomalies might occur due to abnormal events during teeth development caused by environmental or genetic factors during histo differentiation or morph differentiation stages of embryological development. Aims of the study: To evaluate the distribution of developmental dental anomalies according to age and gender in relation to nutritional status in children attending College of Dentistry /University of Baghdad. Materials and method: After examination 5760 children aged 5-12 years of both genders only 147child with dental anomalies were found, all developmental dental anomalies that were clinically observable were recorded. The developmental dental anomalies which diagnosed in this study were supernumerary, missing teeth, talon cusp, microdontia, gemination, fusion, peg shape lateral, enamel hypoplasia, dentinogenesis imperfacta and amelodensis imperfacta. Nutritional status for each child assessed by measuring weight and height to calculate body mass index. Results: The results of the current study showed that the supernumerary teeth was the first most common anomaly seen in this study followed by localized hypoplasia which the second most common anomaly seen followed by missing teeth and microdontia respectively. Regarding total sample from 5 to 12 years old children, the findings showed that the children percent with number anomalies (42.9%) was highest than children percent with structural anomalies and shape anomalies (32.7%, and 24.5% respectively) with statistically highly significant difference (P<0.01). The shape anomalies and structural anomalies percent (25.0%, and 40.0% respectively) were higher among girls than boys while number anomalies percent (48.3%) was higher among boys than girls with non significant difference (P>0.05). The results showed that the underweight children showed higher percent (53.1%) among all age groups than children who were normal weight, over weight and obese (32.7%, 12.2%, and 2.0% respectively) with highly significant difference (P< 0.01). The results illustrated that both boys and girls showed highest percent of underweight (44.8%, and 65.0% respectively) followed by normal weight, over weight and obese with statistically non significant difference. The results also reported that the underweight children presented with highest shape and structural anomalies percent (75.0%, and 50.0% respectively) except number anomalies showed highest percent (47.6%) among normal weight children. Regarding total sample, the underweight children presented with highest dental anomalies percent of all anomalies types(53.1%)than normal weight, over weight and obese children with highly significant difference ( P< 0.01). Conclusion: The present study showed the association of nutritional status with dental anomalies among Iraqi children.
Industrial development has recently increased, including that of plastic industries. Since plastic has a very long analytical life, it will cause environmental pollution, so studies have resorted to reusing recycled waste plastic (sustainable plastic) to produce environmentally friendly concrete (green concrete). In this research, producing environmentally friendly load-bearing concrete masonry units (blocks) was considered where five concrete mixtures were compressed at the blocks producing machine. The cement content reduced from 400 kg/m3 (B-400) to 300 kg/m3 (B-300) then to 200 kg/m3 (B-200). While (B-380) was produced using 380 kg/m3 cement and 20 kg/m3 nano-sil
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Software-defined networks (SDN) have a centralized control architecture that makes them a tempting target for cyber attackers. One of the major threats is distributed denial of service (DDoS) attacks. It aims to exhaust network resources to make its services unavailable to legitimate users. DDoS attack detection based on machine learning algorithms is considered one of the most used techniques in SDN security. In this paper, four machine learning techniques (Random Forest, K-nearest neighbors, Naive Bayes, and Logistic Regression) have been tested to detect DDoS attacks. Also, a mitigation technique has been used to eliminate the attack effect on SDN. RF and KNN were selected because of their high accuracy results. Three types of ne
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Bipedal robotic mechanisms are unstable due to the unilateral contact passive joint between the sole and the ground. Hierarchical control layers are crucial for creating walking patterns, stabilizing locomotion, and ensuring correct angular trajectories for bipedal joints due to the system’s various degrees of freedom. This work provides a hierarchical control scheme for a bipedal robot that focuses on balance (stabilization) and low-level tracking control while considering flexible joints. The stabilization control method uses the Newton–Euler formulation to establish a mathematical relationship between the zero-moment point (ZMP) and the center of mass (COM), resulting in highly nonlinear and coupled dynamic equations. Adaptiv
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This experiment presented essential oils by GC/MS, pigment content, and their antioxidant activities as well as sensory evaluation of delight samples. Limonene (66.88%) was the most prevalent yield. The peels of clementine had DPPH and ABT Scavenging activity. All levels of pigment extract had better scores for all sensory values and recorded acceptable scores in terms of appearance, color, aroma, and overall acceptability compared to control delight. Besides, delight samples containing 15 mg astaxanthin pigment extract showed maximum sensory scores compared to other samples and control delight. On the other hand, the product was less acceptable to the panelists compared to control in the case of the addition of 3.75 mg astaxanthin pigme
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