• Survey Research
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• v.7 no.1
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• pp.55-84
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• 2006

This study has classified development stages (Embryonic-Growth-Maturity) of mobile telecommunication industry based on Industry Life Cycle theory. There are two steps to be analyzed in this study, In the first step, cluster was investigated through cluster analysis using mobile density to categorize development stages of mobile telecommunication industry. In the second step, we compared on indexes of market structure, market efficiency and market performance to find out characteristics of each stage of development. The results are as follows. First, HHI is higher at embryonic stage than at growth and maturity stages, Second, ARPU(Average Revenue Per User) and RPM(Revenue Per Minute) are getting higher as the stages move on. Third, EBITDA margins, an index of market performance, is decreasing along the three stages. Finally, this study presents a clue to define the stage of development of mobile telecommunication industry and build a proper strategy for the market change.

• Journal of the Korea Convergence Society
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• v.11 no.1
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• pp.1-7
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• 2020

Recently 5G technology is one of the technologies that has been receiving much positive responses from users as it is integrated with virtual technology. However, 5G's security issues have not been fully resolved and more security is soon required. In this paper, an approach technique is proposed as a probability-based hierarchy to provide personal privacy for 5G-based IoT users more safely. The proposed technique is aimed at not exposing the privacy of IoT users to third parties by using two random keys created personally by IoT users. In order to satisfy both safety and efficiency, the proposed technology divides the privacy of IoT users into two layers. In the first stage, IoT users will control access to intermediate media using anonymous keys generated by IoT users, and in the second stage, information of IoT users registered with servers will be darkened and replicated. The proposed technique has improved the accuracy of the privacy protection of IoT users as they assign weights to layered information after layering users' privacy information on a probabilistic basis.

• Tuberculosis and Respiratory Diseases
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• v.47 no.5
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• pp.660-668
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• 1999

Background: Lung cancer continues to increase and one half of all cases of lung cancer occur in patients age 65 years and older. However, it seems that lung cancer is less treatable in elderly patients because of co-morbid illness or poor tolerance of surgery and chemotherapy. The intention of this study is to seek an adequate treatment approach for lung cancer in the elderly through an understanding of its characteristics. Method: The clinical data of 207 patients who were diagnosed with histologically proven lung cancer at the department of internal medicine in Seoul Municipal Boramae Hospital between September 1994 and August 1998 were retrospectively analyzed according to their age groups; group I$\geq$65 years(n=122) and group II<65 years(n=85). Results: The peak incidence of age was 7th decade(36.2%) and male age 65 years and older were 42% of all patients. Although dyspnea was more common in group I(26%) than in group II(11%)(p=.0l), there were no significant difference in other symptoms, stage, and histologic type between two groups. Group I significantly had more patients with poor performance(ECOG 3&4) than group II(35.2% vs.12.9%, p=.000). The percentage of patients with non-small cell carcinoma received supportive care only was significantly higher in group I than in group I(74% vs. 35%, p=.000). However, survival of patients who had curative intent treatment was similar between two groups(median survival 11.3 mos vs. 23 mos, p>.05). The histologic subtype, stage and performance status were significant prognostic factors affecting survival, but age itself was not. Conclusion : Lung cancer is prevalent in the elderly and aggressive diagnosis and treatment should be considered in elderly patients with good performance status.

• The Journal of Information Systems
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• v.26 no.3
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• pp.171-185
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• 2017

Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.

• Journal of Microbiology and Biotechnology
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• v.16 no.9
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• pp.1347-1354
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• 2006

The aims of this study were to establish a simple and effective method for isolating male germline stem cells (GSCs), and to test the possibility of using these cells as a new approach for male infertility treatment. Testes obtained from neonatal and adult mice were manually decapsulated. GSCs were collected from seminiferous tubules by a two-step enzyme digestion method and plated on gelatin-coated dishes. Over 5-7 days of culture, GSCs obtained from neonates and adults gave rise to large multicellular colonies that were subsequently grown for 10 passages. During in vitro proliferation, oct-4 and two immunological markers (Integrin ${\beta}1,\;{\alpha}6$) for GSCs were highly expressed in the cell colonies. During another culture period of 6 weeks to differentiate to later stage germ cells, the expression of oct-4 mRNA decreased in GSCs and Sertoli cells encapsulated with calcium alginate, but the expression of c-kit and testis-specific histone protein 2B(TH2B) mRNA as well as the localization of c-kit protein was increased. Expression of transition protein (TP-l) and localization of peanut agglutinin were not seen until 3 weeks after culturing, and appeared by 6 weeks of culture. The putative spermatids derived from GSCs supported embryonic development up to the blastocyst stage with normal chromosomal ploidy after chemical activation. Thus, GSCs isolated from neonatal and adult mouse testes were able to be maintained and proliferated in our simple culture conditions. These GSCs have the potential to differentiate into haploid germ cells during another long-term culture.

• Journal of Korean Society of Environmental Engineers
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• v.35 no.10
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• pp.710-716
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• 2013

New and renewable energy sources have drawn attention because of climate change. Many studies have been carried out in waste-to-energy field. Fast pyrolysis of waste lignocelluosic biomass is one of the waste-to-energy technologies. Bubbling fluidized bed (BFB) reactor is widely used for fast pyrolysis of the biomass. In BFB pyrolyzer, bubble behavior influences on the chemical reaction. Accordingly, in the present study, hydrodynamic characteristics and fast pyrolysis reaction of waste lignocellulosic biomass occurring in a BFB pyrolyzer are scrutinized. The computational fluid dynamics (CFD) simulation of the fast pyrolysis reactor is carried out by using Eulerian-Granular approach. And two-stage semi-global kinetics is applied for modeling the fast pyrolysis reaction of waste lignocellulosic biomass. To summarize, generation and ascendant motion of bubbles in the bed affect particle behavior. Thus biomass particles are well mixed with hot sand and consequent rapid heat transfer occurs from sand to biomass particles. As a result, primary reaction is observed throughout the bed. And reaction rate of tar formation is the highest. Consequently, tar accounts for 66wt.% of the product gas. However, secondary reaction occurs mostly in the freeboard. Therefore, it is considered that bubble behavior and particle motions hardly influences on the secondary reaction.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.6
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• pp.2465-2472
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• 2014

Background: The American Joint Committee on Cancer (AJCC) published a new staging system ($7^{th}$ edition) in 2009. In our study, we evaluated the survival results and prognostic factors among T4 local advanced non-small cell lung cancer (LA-NSCLC) patients in a large heterogeneous group, in accordance with this new system. Materials and Methods: We retrospectively evaluated the files of 122 T4 N0-3 M0 LA-NSCLC patients, identified according to the new staging system, treated at two centers between November 2003 and June 2012. Variables correlating with univariate survival at p<0.20 were later included in multivariate Cox regression analysis. Here, selection of relevant predictors of survival was carried out in accordance with the likelihood ratio formula with p<0.05 regarded as significant. Results: The median age was 60 and the median follow-up period was 17.4 months. Median overall survival (OS) was 18.3 months, the 1 year overall survival (OS) rate was 72%, and the 5 year OS rate was 28%. Statistically significant predictors of survival were (p<0.20) ECOG-PS (Eastern Cooperative Oncology Group Performance Status), age, T4 factor subgroup, stage and primary treatment in OS univariate analysis. On multivariate analysis for OS ECOG-PS (p=0.001), diagnostic stage (p=0.021), and primary treatment (p=0.004) were significant. In the group receiving non-curative treatment, the median OS was 11.0 months, while it was 19.0 months in the definitive RT group and 26.6 months in the curative treatment group. There was a significant difference between the non-curative group and the groups which had definitive RT and curative operations (respectively p<0.001 and p=0.001) in terms of OS, but not between the groups which had definitive RT and curative operations. The median event free survival (EFS) rate was 9.9 months, with rates of 46% and 19% at 3 and 5 years, respectively. On univariate analysis of EFS rate with ECOG-PS, weight loss and staging, statistical significance was found only for thorax computerized tomography (CT)+18F-fluorodeoxy-glucose positron emission tomography-CT (PET-CT) use, stage and primary treatment (p<0.20). In multivariate analysis with EFS, only the primary treatment was statistically significant (p=0.001). In the group receiving non-curative treatment, the median EFS was 10.5 months while in the curative operation group it was 14.7 months. When all the primary treatment groups were taken into consideration, grade III/IV side effect swas observed in 57 patients (46.6%). Esophagitis was most prominent among those that received definitive radiotherapy. Conclusions: Independent prognostic factors among these 122 heterogeneous LA-NSCLC T4 N0-3 M0 patients were age at diagnosis, ECOG-PS, stage and primary treatment, the last also being a significant prognostic indicator of EFS. Our findings point to the importance of appropriate staging and a multidisciplinary approach with modern imaging methods in this patient group. In those with T4 lesions, treatment selection and the effective use of curative potential should be the most important goal of clinical care.

• Journal of Korea Technology Innovation Society
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• v.19 no.4
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• pp.711-735
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• 2016

Drug Development is very important for promoting public health and pharmaceutical industry. There has been many studies on the efficiency of drug development, but there are few studies on the drug development R&D performed by government. Since CCR model assumes unidirectional influence of input and output, it is not appropriate to analyze the efficiency of R&D due to the time-lag and spill-over effect. Also, BBC model which assumes variable returns to scale has difficulty in deriving priorities between decision making units. Recently, Range Adjusted Measure (RAM) model has been suggested in R&D efficiency analysis. RAM model measures the efficincy by eliminating inefficiencies under variable returns to scale assumption, and its strong monotonicity enables to provide clear priorities between decision making units. In this study, we analyzed the efficiency of national R&D programs for drug development using the two-step approach, including RAM model and Tobit regression analysis, and discussed major policy implications.

• Journal of Korea Water Resources Association
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• v.51 no.5
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• pp.439-449
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• 2018

Many potential sources of bias are used in several steps of the radar-rainfall estimation process because the hydrological and meteorological radars measure the rainfall amount indirectly. Previous studies on radar-rainfall uncertainties were performed to reduce the uncertainty of each step by using bias correction methods in the quantitative radar-rainfall estimation process. However, these studies do not provide comprehensive uncertainty for the entire process and the relative ratios of uncertainty between each step. Consequently, in this study, a suitable approach is proposed that can quantify the uncertainties at each step of the quantitative radar-rainfall estimation process and show the uncertainty propagation through the entire process. First, it is proposed that, in the suitable approach, the new concept can present the initial and final uncertainties, variation of the uncertainty as well as the relative ratio of uncertainty at each step. Second, the Maximum Entropy Method (MEM) and Uncertainty Delta Method (UDM) were applied to quantify the uncertainty and analyze the uncertainty propagation for the entire process. Third, for the uncertainty quantification of radar-rainfall estimation at each step, two quality control algorithms, two radar-rainfall estimation relations, and two bias correction methods as post-processing through the radar-rainfall estimation process in 18 rainfall cases in 2012. For the proposed approach, in the MEM results, the final uncertainty (from post-processing bias correction method step: ME = 3.81) was smaller than the initial uncertainty (from quality control step: ME = 4.28) and, in the UDM results, the initial uncertainty (UDM = 5.33) was greater than the final uncertainty (UDM = 4.75). However uncertainty of the radar-rainfall estimation step was greater because of the use of an unsuitable relation. Furthermore, it was also determined in this study that selecting the appropriate method for each stage would gradually reduce the uncertainty at each step. Therefore, the results indicate that this new approach can significantly quantify uncertainty in the radar-rainfall estimation process and contribute to more accurate estimates of radar rainfall.

• Radiation Oncology Journal
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• v.22 no.1
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• pp.1-10
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• 2004

Locally advanced (Stage III) non-small cell lung cancer (NSCLC) accounts for approximately one third of all cases of NSCLC. Few patients with locally advanced NSCLC present with disease amenable to curative surgical resection. Historically, these patients were treated with primary thoracic radiation therapy (RT) and had poor long term survival rates, due to both progression of local disease and development on distant metastases. Over the last two decades, the use of multidisciplinary approach has improved the outcome for patients with locally advanced NSCLC. Combined chemoradiotherapy is the most favored approach for treatment of locally advanced unresectable NSCLC. There are two basic treatment protocols for administering combined chemotherapy and radiation, sequential versus concurrent. The rationale for using chemotherapy is to eliminate subclinical metastatic disease while improving local control. Sequential use of chemotherapy followed by radiotherapy has improved median and long term survival compared to radiation therapy alone. This approach appears to decrease the risk of distant metastases,, but local failure rates remain the same as radiation alone. Concurrent chemoradiotherapy has been studied extensively. The potential advantages of this approach may include sensitization of tumor cells to radiation by the administration of chemotherapy, and reduced overall treatment time compared to sequential therapy; which is known to be important for improving local control in radiation biology. This approach Improves survival primarily as a result of improved local control. However, it doesn't seem to decrease the risk of distant metastases probably because concurrent chemoradiation requires dose reductions in chemotherapy due to increased risks of acute morbidity such as acute esophageal toxicity. Although multidisciplinary therapy has led to improved survival rates compared to radiation therapy alone and has become the new standard of care, the optimal therapy of locally advanced NSCLC continues to evolve. The current issues in the multidisciplinary management of locally advanced NSCLC will be reviewed in this report.