• Restorative Dentistry and Endodontics
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• v.46 no.4
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• pp.53.1-53.11
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• 2021

Objectives: This study evaluates the bond strength and marginal adaptation of mineral trioxide aggregate (MTA) Repair HP and Biodentine used as apical plugs; MTA was used as reference material for comparison. Materials and Methods: A total of 30 single-rooted teeth with standardized, artificially created open apices were randomly divided into 3 groups (n = 10 per group), according to the material used to form 6-mm-thick apical plugs: group 1 (MTA Repair HP); group 2 (Biodentine); and group 3 (white MTA). Subsequently, the specimens were transversely sectioned to obtain 2 (cervical and apical) 2.5-mm-thick slices per root. Epoxy resin replicas were observed under a scanning electron microscope to measure the gap size at the material/dentin interface (the largest and smaller gaps were recorded for each replica). The bond strength of the investigated materials to dentin was determined using the push-out test. The variable bond strengths and gap sizes were evaluated independently at the apical and cervical root dentin slices. Data were analyzed using descriptive and analytic statistics. Results: The comparison between the groups regarding the variables' bond strengths and gap sizes showed no statistical difference (p > 0.05) except for a single difference in the smallest gap at the cervical root dentin slice, which was higher in group 3 than in group 1 (p < 0.05). Conclusions: The bond strength and marginal adaptation to root canal walls of MTA HP and Biodentine cement were comparable to white MTA.

• Computers and Concrete
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• v.31 no.2
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• pp.111-121
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• 2023

The influence of material composition such as aggregate types, addition of supplementary cementitious materials as well as exposed temperature levels have significant impacts on concrete residual mechanical strength properties when exposed to elevated temperature. This study is based on data obtained from literature for fly ash blended concrete produced with natural and recycled concrete aggregates to efficiently develop prediction models for estimating its residual compressive strength after exposure to high temperatures. To achieve this, an extensive database that contains different mix proportions of fly ash blended concrete was gathered from published articles. The specific design variables considered were percentage replacement level of Recycled Concrete Aggregate (RCA) in the mix, fly ash content (FA), Water to Binder Ratio (W/B), and exposed Temperature level. Thereafter, a simplified mathematical equation for the prediction of concrete's residual compressive strength using Gene Expression Programming (GEP) was developed. The relative importance of each variable on the model outputs was also determined through global sensitivity analysis. The GEP model performance was validated using different statistical fitness formulas including R², MSE, RMSE, RAE, and MAE in which high R² values above 0.9 are obtained in both the training and validation phase. The low measured errors (e.g., mean square error and mean absolute error are in the range of 0.0160 - 0.0327 and 0.0912 - 0.1281 MPa, respectively) in the developed model also indicate high efficiency and accuracy of the model in predicting the residual compressive strength of fly ash blended concrete exposed to elevated temperatures.

• Journal of the Korean Recycled Construction Resources Institute
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• v.11 no.4
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• pp.542-551
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• 2023

In this paper, the thermal properties of porous concrete containing natural fine aggregates in bottom ash aggregates were analyzed. In this study, natural fine aggregates were used for bottom ash aggregates to understand the material properties of each aggregate and then used as an aggregate for porous concrete. A porous concrete specimen was manufactured by fixing the water-binder ratio at 0.25 and designating the compaction at 0.5, 1.5, and 2.5 MPa. Unit weight, total void ratio and thermal conductivity test were measured and discussed. As the compaction increased and the mixing ratio of natural fine aggregates increased, the unit weight and thermal conductivity increased, and the total void ratio decreased. In addition, the correlations between unit weight, total void ratio and thermal conductivity of porous concrete with previous experimental data were presented and the correlation coefficient (R²) was also analyzed.

• Journal of Korean Society of Transportation
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• v.18 no.1
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• pp.27-34
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• 2000

This study analyzes the price elasticities of airline Passenger demand through the 'Stated Preference' technique which uses survey data. Because the domestic airfare has been regulated by the government. it is not easy to derive Price elasticity through the usual regression analysis with aggregate data and thus a special methodology is required for elasticity estimation. Therefore, in this study we estimated the Price elasticities of domestic air passenger demand and the modal share change rates to the alternative modes with logit model and sample enumeration method, by analyzing the survey data on air Passengers' demand behavior about the mode choice between air-rail. air-bus, and air-car. As the results, the estimated price elasticities are in the range of -0.6~-0.9, and rail is mainly chosen as an alternative mode. bus is chosen Partly, and car is barely used.

• Environmental and Resource Economics Review
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• v.14 no.1
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• pp.51-73
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• 2005

The purpose of this study is estimating the value of recreation of the eighteen national parks in Korea. A conditional logit model and a nested logit model have been estimated for the purpose. The data used for the study have been collected via a national level off-site survey. In addition, the annual aggregate data on the number of visitors to each park have been combined with the survey data to derive more reliable estimates. The paper finds that there are substantial differences in preferences for mountain and marine national parks. Not only the value of each park but also the values of the main characteristics of the parks are estimated.

• Safety and Health at Work
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• v.2 no.2
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• pp.148-157
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• 2011

Objectives: Although compensation for occupational injuries and diseases is guaranteed in almost all nations, countries vary greatly with respect to how they organize workers' compensation systems. In this paper, we focus on three aspects of workers' compensation insurance in Organization for Economic Cooperation and Development (OECD) countries - types of systems, employers' funding mechanisms, and coverage for injured workers - and their impacts on the actual frequencies of occupational injuries and diseases. Methods: We estimated a panel data fixed effect model with cross-country OECD and International Labor Organization data. We controlled for country fixed effects, relevant aggregate variables, and dummy variables representing the occupational accidents data source. Results: First, the use of a private insurance system is found to lower the occupational accidents. Second, the use of risk-based pricing for the payment of employer raises the occupational injuries and diseases. Finally, the wider the coverage of injured workers is, the less frequent the workplace accidents are. Conclusion: Private insurance system, fixed flat rate employers' funding mechanism, and higher coverage of compensation scheme are significantly and positively correlated with lower level of occupational accidents compared with the public insurance system, risk-based funding system, and lower coverage of compensation scheme.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.763-769
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• 2021

The relationship between government size and unemployment is an important topic of study in economics. Large public expenditure has been blamed for causing higher unemployment contrary to the belief that it would help in reducing unemployment. More research on the topic, however, needs to be done as the available literature has been based largely on data from developed countries. The present paper examines the existence of the relationship in states of India by using panel data analysis. For more comprehensive study, public expenditure is divided into development, non-development, and aggregate expenditures, while the types of unemployment under consideration are usual status and current weekly status. Indeed, it has been observed that development and non-development expenditures increase both the types of unemployment though the impact of the latter is higher. The findings are important as it implies that a cut in expenditure can be an important fiscal tool to fight unemployment. It was further observed that unemployment was higher among states with a more educated population, which also suggests a revisiting of the education policy in the country. States ruled by left parties have higher unemployment rate. Higher income states as well as states with higher growth rate tend to have lower unemployment rate.

• Asian Journal of Business Environment
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• v.11 no.1
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• pp.17-25
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• 2021

Purpose: This study extends previous empirical work on the threshold effects of institutions on the relationship between infrastructure and economic growth. It does so by using three sub-indices of institutions as the threshold variable in place of aggregate index. This is with a view to determining the roles of the sub-indices in the nexus between infrastructure and economic growth. Research design, data and methodology: The analysis is based on a dynamic panel threshold regression model using a panel data set comprising 41 countries in Sub-Saharan Africa over the sample period of 1996-2015. Data are obtained from Ogbaro (2019). Results: The study finds that infrastructure exerts significant positive effects on economic growth below and above the threshold values of the three sub-indices, with higher effects above the threshold values. Results also show that on average, the Sub-Saharan African countries are not able to satisfy any of the threshold conditions, which accounts for their poor growth experience. Conclusion: The study concludes that countries with weak institutions do not benefit maximally from infrastructure development policies. The paper, therefore, recommends that countries in Sub-Saharan Africa need to focus on improving their institutional patterns if they are to reap the optimum benefits from their infrastructure development efforts.

• Korean Journal of Legislative Studies
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• v.25 no.1
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• pp.5-44
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• 2019

The 2018 midterm elections were considered a referendum for Trump Presidency, especially because Latino community has been feeling that the anti-immigration, anti-Latino policies of Trump administration are harmful to the community. News Media and pundits predicted the boost of the Latino turnout and its positive effects on Democratic candidates at all levels. The purpose of this paper is to provide an overview of Latino demographics and Latino public opinion and to analyze the election results with exit poll data and actual aggregate data. The data analysis shows that, compared to 2014 midterm elections, Latino turnout and the support for Democratic candidates actually increased in most counties and precincts, which is more salient in the areas with heavy Latino concentration.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.140-150
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• 2024

Database-as-a-Service is one of the prime services provided by Cloud Computing. It provides data storage and management services to individuals, enterprises and organizations on pay and uses basis. In which any enterprise or organization can outsource its databases to the Cloud Service Provider (CSP) and query the data whenever and wherever required through any devices connected to the internet. The advantage of this service is that enterprises or organizations can reduce the cost of establishing and maintaining infrastructure locally. However, there exist some database security, privacychallenges and query performance issues to access data, to overcome these issues, in our recent research, developed a database security model using a deterministic encryption scheme, which improved query execution performance and database security level.As this model is implemented using a deterministic encryption scheme, it may suffer from chosen plain text attack, to overcome this issue. In this paper, we proposed a new model for cloud database security using nondeterministic encryption, order preserving encryption, homomorphic encryptionand database distribution schemes, andour proposed model supports execution of queries with equality check, range condition and aggregate operations on encrypted cloud database without decryption. This model is more secure with optimal query execution performance.