Oral health-related quality of life of preschool-aged Turkish children with congenital heart disease

Background. Dental caries and poor oral hygiene can affect the quality of life (QoL) of patients with con -genital heart disease (CHD). Information about the oral health-related quality of life (OHRQoL) of Turkish preschool children with CHD is scarce.Objectives. The aim of the present study was to assess the OHRQoL, and the presence of caries, plaque and gingivitis in Turkish preschool children with CHD as compared to children without CHD (control group).Material and methods. Children aged 3-6 years with CHD (n = 75) and a control group (n = 75) were included in the study. Examinations were conducted using the plaque index (PI), the gingival index (GI) and the World Health Organization (WHO) caries diagnostic criteria. The Early Childhood Oral Health Impact Scale (ECOHIS) questionnaire was completed by the children's families.Results.The amount of caries and plaque, as well as the number of missing teeth were higher in children with CHD. The OHRQoL was lower in children with CHD. However, the differences between the 2 groups were not statistically significant (p > 0.05). The number of filled teeth was significantly higher in the con-trol group (p < 0.05).Conclusions. According to the findings of the present study, the high amount of caries and plaque in both groups demonstrates that caries continues to be a major public health problem. Although there was no significant difference in terms of QoL scale scores between the 2 groups, the study showed that OHRQoL was lower in children with CHD

Modeling Human Aspects to Enhance Software Quality Management

The aim of the research is to explore the impact of cognitive biases and social networks in testing and developing software. The research will aim to address two critical areas: i) to predict defective parts of the software, ii) to determine the right person to test the defective parts of the software. Every phase in software development requires analytical problem solving skills. Moreover, using everyday life heuristics instead of laws of logic and mathematics may affect quality of the software product in an undesirable manner. The proposed research aims to understand how mind works in solving problems. People also work in teams in software development that their social interactions in solving a problem may affect the quality of the product. The proposed research also aims to model the social network structure of testers and developers to understand their impact on software quality and defect prediction performance

Dione: An Integrated Measurement and Defect Prediction Solution

We present an integrated measurement and defect prediction tool: Dione. Our tool enables organizations to measure, monitor, and control product quality through learning based defect prediction. Similar existing tools either provide data collection and analytics, or work just as a prediction engine. Therefore, companies need to deal with multiple tools with incompatible interfaces in order to deploy a complete measurement and prediction solution. Dione provides a fully integrated solution where data extraction, defect prediction and reporting steps fit seamlessly. In this paper, we present the major functionality and architectural elements of Dione followed by an overview of our demonstration

The effect of granularity level on software defect prediction

Application of defect predictors in software development helps the managers to allocate their resources such as time and effort more efficiently and cost effectively to test certain sections of the code. In this research, we have used naive Bayes classifier (NBC) to construct our defect prediction framework. Our proposed framework uses the hierarchical structure information about the source code of the software product, to perform defect prediction at a functional method level and source file level. We have applied our model on SoftLAB and Eclipse datasets. We have measured the performance of our proposed model and applied cost benefit analysis. Our results reveal that source file level defect prediction improves the verification effort, while decreasing the defect prediction performance in all datasets

Evaluation of Temperature Changes in the Pulpal Chamber of the Primary Tooth During Curing of Colored Compomers

Purpose: To investigate the temperature changes in the primary teeth pulp chambers during the curing of different colored compomers Methods: Five extracted primary mandibular second molars were prepared with class II cavities. Gold, blue, green, berry, and tooth (control group) colored compomers were tested in two steps (aproximal and occlusal). Measurement of pulp chamber temperature changes during curing was performed with a J type thermocouple. The data including differences between the highest and initial temperature values were recorded and analyzed by two-way ANOVA and Mann-Whitney U tests Results: There were statistically significant differences temperature changes in groups (p&lt; 0.05). Gold colored compomer showed the highest temperature increase in both proximal and occlusal surfaces. Tooth colored compomer(A2) showed the lower temperature increase. The temperature increase in aproximal cavities was found to be higher than the temperature increase in occlusal cavities. Conclusions: Colored compomer can be an alternative restorative materials in superficial class I and II cavities in primary teeth. Dark coloured compomers should be used in deep cavities

Electrophysiologic assessment of spasticity in children using H-reflex

WOS: 000341415400009PubMed ID: 24382533We investigated a possible correlation between Hoffmann's reflex (H-reflex) and the Modified Ashworth Scale (MAS) in children with spasticity. H-reflex latencies, amplitudes (H amplitude), Hmax/Mmax amplitude, and MAS were simultaneously measured in 30 children who had bilateral spasticity on the lower extremities. Children with MAS scores of 1 and + 1 composed Group I (n=11), and children with MAS scores of 2 and 3 composed Group II (n=26) and Group III (n=23), respectively. The H-reflex latencies were significantly shorter and Hmax/Mmax ratios were significantly higher in patients with cerebral palsy than controls irrespective of the degree of the MAS. The H-reflex latencies in patients with MAS of 1 or + 1 were significantly longer than in patients with MAS of 2. Other than between these two groups for H-reflex latencies, no significant differences were revealed among the three different MAS groups for either H-reflex latencies or Hmax/Mmax ratios. There is a positive correlation between spasticity assessed by MAS and H-reflex. We concluded that the H-reflex is a reliable electrophysiologic test for assessment of spasticity in children