Introduction: The major drawback of Silver diamine ϔuorde was the dark discoloration of the treated carious lesion. Aim: This study was conducted to determine the parental acceptability and perceptions to the discoloration and assess whether the degree of their acceptability could be altered with the position of the discoloured teeth, child attitude and the demographic characteristics of parents. Method: The parents who attended the dental clinic received a questionnaire which formulated with short summery about silver diamine ϔuorde with photographs (before and after treatment) and containing questions about the demographical data, attitude of the child in the dental clinic and the acceptability of SDF discoloration at different locations and situation according to child attitude. Coded data were processed in IBM SPSS statistics software for calculating the result by using independent t- test and P-value < 0.05 was considered statistically snϔcntǤ Results: 79 mothers and 23 fathers with different backgrounds were participated in this study. The acceptance of silver diamine ϔuorde discoloration was more in the back teeth 71.6% and less in the front teeth 43.2%. Statistically, nonǦ snϔcnt differences were obtained with the demographic data like age, gender, community, and educational level while high associations were found with the different child attitudes. Conclusion: Silver diamine ϔuorde discoloration showed widely different acceptability. The position of the tooth and child attitude were the most nϔuenced factors in the perception of the parents that the discoloration was more tolerable when the tooth located posteriorly, and the child acting was worse. Key words Iraq, Parental perception, SDF, Silver diamine fluoride Black discoloration:
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
... Show MoreBipedal 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
... Show MoreThis 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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