• Korean Journal of Social Welfare
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• v.57 no.2
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• pp.375-403
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• 2005

This Study reviews theoretical argument about the effect of retirement earnings test on the labor supply of the aged which is controversial issue in OECD countries and analyze the effect on the incidence of re-employment, re-employment period of suspended officials and the possibility of re-retirement through Government Employment Pension Corporation data. It consists of 178,363 public officials who received pension benefit or disability pension in January 2005. The main result of this research shows that public officials re-employed were 8,086 which is 4.5% of total retired, and median survival time of suspended pension payments is 3.3 years. Also the median re-employment period of 100% suspended officials is about 20 month shorter than that of 1/2 suspended officials and it is shown in regression analysis that the possibility of re-retirement by 100% suspended officials is statistically significant higher than those of 50%. It specially expects greater influence if includes in case taking lump-sum or no making effect of re-employment because current system withhold pension payments even by earned income itself. Therefore, this analysis suggests suspension of pension payment properly applied according to the age and income together with "Delayed Retirement Credit" or "Partial Pension" for developmental alternatives of civil servant's suspension of pension payments. Furthermore, It is urgently needed that distinctive quality data about re-employment including earnings to perform deep-empirical research for effective policy. Lastly, it is extremely necessary to reinforce management system of Government Employment Pension Corporation.

• The Journal of Information Systems
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• v.27 no.1
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• pp.171-191
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• 2018

Purpose Corporate technology leakage is not only monetary loss, but also has a negative impact on the corporate image and further deteriorates sustainable growth. In particular, since SMEs are highly dependent on core technologies compared to large corporations, loss of technology leakage threatens corporate survival. Therefore, it is important for SMEs to "prevent and protect technology leakage". With the recent development of data analysis technology and the opening of public data, it has become possible to discover and proactively detect companies with a high probability of technology leakage based on actual company data. In this study, we try to construct profiles of enterprises with and without technology leakage experience through profiling analysis using data mining techniques. Furthermore, based on this, we propose a classification model that distinguishes companies that are likely to leak technology. Design/methodology/approach This study tries to develop the empirical model for prevention and protection of technology leakage through profiling method which analyzes each SME from the viewpoint of individual. Based on the previous research, we tried to classify many characteristics of SMEs into six categories and to identify the factors influencing the technology leakage of SMEs from the enterprise point of view. Specifically, we divided the 29 SME characteristics into the following six categories: 'firm characteristics', 'organizational characteristics', 'technical characteristics', 'relational characteristics', 'financial characteristics', and 'enterprise core competencies'. Each characteristic was extracted from the questionnaire data of 'Survey of Small and Medium Enterprises Technology' carried out annually by the Government of the Republic of Korea. Since the number of SMEs with experience of technology leakage in questionnaire data was significantly smaller than the other, we made a 1: 1 correspondence with each sample through mixed sampling. We conducted profiling of companies with and without technology leakage experience using decision-tree technique for research data, and derived meaningful variables that can distinguish the two. Then, empirical model for prevention and protection of technology leakage was developed through discriminant analysis and logistic regression analysis. Findings Profiling analysis shows that technology novelty, enterprise technology group, number of intellectual property registrations, product life cycle, technology development infrastructure level(absence of dedicated organization), enterprise core competency(design) and enterprise core competency(process design) help us find SME's technology leakage. We developed the two empirical model for prevention and protection of technology leakage in SMEs using discriminant analysis and logistic regression analysis, and each hit ratio is 65%(discriminant analysis) and 67%(logistic regression analysis).

• Journal of Digital Convergence
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• v.12 no.11
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• pp.249-256
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• 2014

Advancing health screening and treatment of cancer techniques, they contribute to grow the probability of survival of cancer patients for a long time. So health behavior and quality of life of the patients are getting important. This study analysed correlation between healthy person and cancer patient's EQ-5D index, social demographic characteristics, health behavior and so on by the multiple regression analysis. The result was that EQ-5D index of cancer patients is lower than healthy persons. Patients of cervical cancer and lung cancer had very low the index especially. In conclusion, cancer have a bad influence on the quality of life. For cancer patients, smoking and drinking are a major factors of correlation. The number of non-smokers among the patients is lower than the number of smokers among healthy persons. This conclusion means that the importance of health behaviors and quality of life for cancer patients is established so that this will be used for basic reference of PHR models and service enhancing quality of life.

• Tuberculosis and Respiratory Diseases
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• v.43 no.6
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• pp.894-902
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• 1996

Background : Tumor angiogenesis is the growth of new vessels toward and within tumor. It has been demonstrated that the growth of tumor beyond a certain size requires angiogenesis and it is closely involved in tumor progression and metastasis. The finding that intensity of neovascularization correlates independently with metastasis may lead to identification of patients in whom radical surgery should be supplemented by systemic treatment. Method : We have collected paraffin blocks of bronchoscopic biopsy of patients with non-small cell lung cancer. We highlighted the vessel by staining endothelial cell with JC70 monoclonal antibody(to CD31) immunohistochemically and counted microvessels under 200 X field using light microscopy. Results : 1) The mean microvessel count was $32.7{\pm}20.8$ (9-96) in total 29 cases. 2) There were no correlations between microvessel counts and pathologic cell type, T staging, node melastasis(N) and hematogenous metastasis(M) (p>0.05). 3) The median follow-up duration was 15 months(2-46) and there was no correlation between the microvessel counts and survival rate of lung cancer patients (p>0.05). Conclusion : Tumor angiogenesis seems to be an important prognostic factor suggesting the probability of metastasis. But the microvessel count in the bronchoscopic biopsy specimen was inadequate and very limited. There has been no data about angiogenesis of lung cancer in korea yet So the study of tumor angiogenesis using resected lung tumor specimen would be demanded.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.74-82
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• 2016

The term research institute spin-offs refers to new firms created by public research institutes. These spin-offs are different from other start-ups in two respects: on the one hand, they should be located in the Special Research and Development Zones and, on the other hand, these firms are supposed to commercialize the results of public R&D activities. These spin-off firms show higher rates of survival and job creation than general new firms, which means that their contribution to economic growth is not negligible. The present study analyzes the factors affecting research institute spin-offs using a random effect panel logit model and negative binomial model. From previous studies, four elements are identified as playing an important role in the commercialization of public R&D through spin-offs, namely their organizational character, research capability, technological character, and geographical location. The empirical results demonstrate that government research institutes with more researchers and patents are more likely to create new firms. In addition, the location of the institutes significantly affects the probability of their creating spin-offs and their number. When the technological stage and TLO size are considered, however, it turns out that the number of researchers and technological stage play important roles in the spin-offs.

• Korean Journal of Food Science and Technology
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• v.50 no.6
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• pp.621-628
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• 2018

We developed a quantitative microbial risk assessment model for determning the effect of seasoning on Clostridium perfringens behavior in beef jerky under aerobic and anaerobic conditions. C. perfringens was not detected (<0.5 log CFU/g) in beef jerky samples (n=275), regardless of storage conditions or the presence of seasoning. Survival models of C. perfringens on beef jerky were developed as a function of temperature (10, 17, 25, and $35^{\circ}C$). Risk of C. perfringens due to the consumption of beef jerky was estimated with @RISK and FDA-iRISK. The probability of foodborne illness due to C. perfringens through consumption of seasoned, vacuum packed beef jerky was estimated to be $2.77{\times}10^{-16}$ per person per day. Overall, the risk of contamination of beef jerky with C. perfringens is very low.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.6
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• pp.67-77
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• 2018

Currently, there are many problems due to the decline in school-age population. Moreover, Korea has the largest number of universities compared to the population, and the university enrollment rate is also the highest in the world. As a result, the minimum student retention rate required for the survival of each university is becoming increasingly important. The purpose of this study was to examine the effects of reducing the number of graduates of education and the social climate that prioritizes employment. And to determine what the basic direction is for students to manage the student retention rate, which can be maintained from admission to graduation, to determine the optimal input variables, Based on the input parameters, we will make associative analysis using apriori algorithm to collect training data that is most suitable for maintenance rate management and make base data for development of the most efficient Deep Learning module based on it. The accuracy of Deep Learning was 75%, which is a measure of graduation using decision trees. In decision tree, factors that determine whether to graduate are graduated from general high school and students who are female and high in residence in urban area have high probability of graduation. As a result, the Deep Learning module developed rather than the decision tree was identified as a model for evaluating the graduation of students more efficiently.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.7
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• pp.930-938
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• 2018

Underwater noise radiated from submarines is directly related to the probability of being detected by the sonar of an enemy vessel. Therefore, minimizing the noise of a submarine is essential for improving survival outcomes. For modern submarines, as the speed and size of a submarine increase and noise reduction technology is developed, interest in flow noise around the hull has been increasing. In this study, a noise analysis technique was developed to predict flow noise generated around a submarine shape considering the free surface effect. When a submarine is operated near a free surface, turbulence-induced noise due to the turbulence of the flow and bubble noise from breaking waves arise. First, to analyze the flow around a submarine, VOF-based incompressible two-phase flow analysis was performed to derive flow field data and the shape of the free surface around the submarine. Turbulence-induced noise was analyzed by applying permeable FW-H, which is an acoustic analogy technique. Bubble noise was derived through a noise model for breaking waves based on the turbulent kinetic energy distribution results obtained from the CFD results. The analysis method developed was verified by comparison with experimental results for a submarine model measured in a Large Cavitation Tunnel (LCT).

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.343-348
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• 2023

This study attempted to verify and examine the effect of screen golf course service quality on reuse. A total of 300 copies were distributed, and a total of 247 copies were used for analysis, excluding 53 questionnaires with poor responses or many missing questions. Based on these results, the following implications were derived. First, screen golf course users were mainly used by friends, acquaintances, and social groups, and information was obtained through human and Internet, and empathy and reliability among service quality affected the reuse of screen golf courses. When users experience high-quality services, they have high satisfaction and high service quality, and they can increase the probability of forming loyalty and recommending and promoting them to people around them. However, experiencing poor quality services can disappoint customers and leave negative comments on people around them, which reduces the likelihood of reuse. Therefore, in order to increase the reuse of golf courses, quality management, customer opinions and feedback must be accepted, and problems must be dealt with quickly to improve the quality of services and provide services that satisfy customers. Second, although the types, responsiveness, and certainty of sub-factors of screen golf course service quality were not significant in this study, management strategies should be used to increase survival in the highly competitive screen golf industry and reuse them by providing differentiated services.

• Journal of Chest Surgery
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• v.57 no.3
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• pp.242-251
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• 2024

Background: This study compared the outcomes of surgical aortic valve replacement (AVR) in patients aged 50 to 70 years based on the type of prosthetic valve used. Methods: We compared patients who underwent mechanical AVR to those who underwent bioprosthetic AVR at our institution between January 2000 and March 2019. Competing risk analysis and the inverse probability of treatment weighting (IPTW) method based on propensity score were employed for comparisons. Results: A total of 1,580 patients (984 patients with mechanical AVR; 596 patients with bioprosthetic AVR) were enrolled. There was no significant difference in early mortality between the mechanical AVR and bioprosthetic AVR groups (0.9% vs. 1.7%, p=0.177). After IPTW adjustment, the risk of all-cause mortality was significantly higher in the bioprosthetic AVR group than in the mechanical AVR group (hazard ratio [HR], 1.39; 95% confidence interval [CI], 1.07-1.80; p=0.014). Competing risk analysis revealed lower risks of stroke (sub-distributional hazard ratio [sHR], 0.44; 95% CI, 0.28-0.67; p<0.001) and anticoagulation-related bleeding (sHR, 0.35; 95% CI, 0.23-0.53; p<0.001) in the bioprosthetic AVR group. Conversely, the risk of aortic valve (AV) reintervention was higher in the bioprosthetic AVR group (sHR, 6.14; 95% CI, 3.17-11.93; p<0.001). Conclusion: Among patients aged 50 to 70 years who underwent surgical AVR, those receiving mechanical valves showed better survival than those with bioprosthetic valves. The mechanical AVR group exhibited a higher risk of stroke and anticoagulation-related bleeding, while the bioprosthetic AVR group showed a higher risk of AV reintervention.