• Economic and Environmental Geology
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• v.29 no.5
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• pp.615-622
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• 1996

Slope stability analysis was conducted using remote sensing and Geoscientific Information System (GIS) as a part of natural hazard assessment around Chungju area. Landsat TM band 5 and 7 which contain more information about geological structure and geography are chosen and processed to analyse regional geological structure. Through image processing technique such as PCA, HFF, edge detection and enhancement, regional lineament can be mapped and identified. The lineament density map is constructed based on summed length of lineaments per unit area and the study area can be divided into 7 structural domains. Various factors of slope stability analysis such as geology, slope aspect, degree of slope, landcover, water shed as well as characterized structural domain are constructed as a database of GIS. Rating and weighting of each factor for slope stability analysis is decided by considering environmental geological characteristics of study area. Spatial analysis of regional slope stability is examined through overlaying technique of the GIS. The result of areal distribution of slope stability shows that the most unstable area is all over Jaeogae-ni, Hyangsan-ni and Mt. Daedun.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.3
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• pp.283-290
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• 2014

In the flat panel display industry, to meet production target quantities and the deadline of production, the scheduler and dispatching systems are major production management systems which control the order of facility production and the distribution of WIP (Work In Process). Especially the delivery time is a key factor of the dispatching system for the time when a lot can be supplied to the facility. In this paper, we use survival analysis methods to identify main factors of the delivery time and to build the delivery time forecasting model. To select important explanatory variables, the cox proportional hazard model is used to. To make a prediction model, the accelerated failure time (AFT) model was used. Performance comparisons were conducted with two other models, which are the technical statistics model based on transfer history and the linear regression model using same explanatory variables with AFT model. As a result, the mean square error (MSE) criteria, the AFT model decreased by 33.8% compared to the statistics prediction model, decreased by 5.3% compared to the linear regression model. This survival analysis approach is applicable to implementing the delivery time estimator in display manufacturing. And it can contribute to improve the productivity and reliability of production management system.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.14
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• pp.5945-5950
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• 2015

A 6-year retrospective cohort study was conducted among Thai hematologic malignancy (HM) patients receiving intensive chemotherapy. Of the 145 eligible patients receiving 893 chemotherapy sessions, 46.9% were female, median age was 52 years, and the most common HM diagnosis was diffuse large B-cell lymphoma (46.2%). Febrile neutropenia (FN) occurred in 14.9% of chemotherapy sessions with an incidence of 24.8 per 1,000 chemotherapy cycles per year. Independent factors associated with FN were receiving the first chemotherapy cycle [adjusted hazard ratio (aHR) 4.1], having hemoglobin ${\leq}100g/L$ (aHR 3.7) and platelet ${\leq}140,000/{\mu}L$ (aHR 2.7) on chemotherapy day and receiving acute myeloid leukemia regimens (aHR 20.8). Granulocyte colony stimulating factor was significantly associated with reduced rate of FN when given in those receiving CHOP regimen. With the median follow-up time of 16 months, the overall survival time was significantly longer in patients without FN than those with FN (61.7 vs. 20.8 months; p<0.001).

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.15
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• pp.6103-6108
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• 2014

Many studies have reported ${\beta}$-catenin involvement in the development of esophageal carcinoma (EC), but its prognostic significance for EC patients remains controversial. Therefore, we conducted this meta-analysis to explore the issue in detail. After searching PubMed, EMBASE, Web of Science, and Chinese Biomedical Literature Database, we included a total of ten relevant studies. We pooled the overall survival (OS) data using RevMan 5.2 software. The results showed that aberrant expression of ${\beta}$-catenin was associated with a significant increase of mortality risk (hazard ratio 1.71, 95%CI 1.46-2.01; p<0.00001). Subgroup analyses further suggested that aberrant expression of ${\beta}$-catenin resulted in poor OS of EC patients regardless of histological type of EC, study location or criteria for aberrant expression of ${\beta}$-catenin, and the sensitivity analyses revealed that the result was robust. The meta-analysis revealed that aberrant expression of ${\beta}$-catenin could be a predicative factor of poor prognosis for EC patients.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.179-189
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• 2020

The paper empirically examines the bank-specific determinants of loan growth in the Vietnamese banking system for the period from 2007 to 2019. We approach the CAMELS framework and employ the dynamic panel regression to determine the effects of each CAMELS factor on bank lending. To ensure the robustness of results, we also use alternative definitions of the variables and different specifications with and without full sets of CAMELS components. With these settings, we display multiple important results. (i) We find that a large capital buffer tends to boost bank lending expansion faster. (ii) High asset quality might positively contribute to high loan growth; in other words, banks subject to high credit risk are discouraged from making loans. (iii) Less efficiently managed banks are more likely to adopt an aggressive lending strategy, highlighting the moral hazard incentives of Vietnamese banks. (iv) More profitable banks with excellent competitive advantages could expand their lending activities to a larger extent. (v) Liquidity is positively related to the loan growth of banks. (vi) Perceived interest rate risk tends to suppress loan growth since interest-rate-sensitive banks might be concerned about the adverse effects of unpredictable adverse changes in interest rates in the future.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.9
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• pp.5043-5047
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• 2013

Background: This is a part of a larger effort to characterize the effects on socio-economic factors (SEFs) on cancer outcome. Surveillance, Epidemiology and End Result (SEER) bone and joint sarcoma (BJS) data were used to identify potential disparities in cause specific survival (CSS). Materials and Methods: This study analyzed SEFs in conjunction with biologic and treatment factors. Absolute BJS specific risks were calculated and the areas under the receiver operating characteristic (ROC) curve were computed for predictors. Actuarial survival analysis was performed with Kaplan-Meier method. Kolmogorov-Smirnov's 2-sample test was used to for comparing two survival curves. Cox proportional hazard model was used for multivariate analysis. Results: There were 13501 patients diagnosed BJS from 1973 to 2009. The mean follow up time (SD) was 75.6 (90.1) months. Staging was the highest predictive factor of outcome (ROC area of 0.68). SEER stage, histology, primary site and sex were highly significant pre-treatment predictors of CSS. Under multivariate analysis, patients living in low income neighborhoods and rural areas had a 2% and 5% disadvantage in cause specific survival respectively. Conclusions: This study has found 2-5% decrement of CSS of BJS due to SEFs. These data may be used to generate testable hypothesis for future clinical trials to eliminate BJS outcome disparities.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.85-93
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• 2020

In peer-to-peer (P2P) loan markets, as most lenders are unskilled and inexperienced ordinary individuals, it is important to know the characteristics of borrowers that significantly impact their repayment performance. This study investigates the effects and importance of borrowers' past repayment performance track record within the platform to identify its predictive power. To this end, I analyze the detailed loan repayment data from two leading P2P lending platforms in Korea using a Cox proportional hazard, multiple linear regression, and logit models. Furthermore, the predictive power of the factors proxied by borrowers' track records are evaluated through the receiver operating characteristic (ROC) curves. As a result, it is found that the borrowers' past track record within the platform have the most important impact on the repayment performance of their current loans. In addition, this study also reveals that the borrowers' track record is much more predictive of their repayment performance than any other factor. The findings of this study emphasize that individual lenders must take into account the quality of borrowers' past transaction history when making a funding decision, and that platform operators should actively share the borrowers' past records within the markets with lenders.

• Journal of the Earthquake Engineering Society of Korea
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• v.20 no.7_spc
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• pp.537-543
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• 2016

In low to moderate seismic regions, there are limited earthquake ground motion data recorded from past earthquakes. In this regard, the Gyeongju earthquake (M=5.8)occurred on September 12, 2016 produces valuable information on ground motions. Ground motions were recorded at various recording stations located widely in Korean peninsula. Without actual recoded ground motions, it is impossible to make a ground motion prediction model. In this study, a point source model is constructed to accurately simulate ground motions recorded at different stations located on different soil conditions during the Gyeongju earthquake. Using the model, ground motions are generated at all grid locations of Korean peninsula. Each grid size has $0.1^{\circ}(latitude){\times}0.1^{\circ}(longitude)$. Then a contour hazard map is constructed using the peak ground acceleration of the simulated ground motions.

• Proceedings of the Korean Geotechical Society Conference
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• 2002.10a
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• pp.3.1-14
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• 2002

Many human lives and properties have been damaged by the annually occurring natural disasters. Among them, a typhoon accompanying a gale and a localized torrential downpour induce a first order damages. In this study, states, scales and other characteristics of slope failure induced by the typhoon Rusa, which damaged the whole Korea peninsular on August 30th for 3 days, were analyzed. In addition, permanent measures for slope failure are conducted to prepare natural disasters. Since the key factor on the slope failure is considered to be a rainfall. The characteristics of domestic rainfall and typhoon are investigated, and then failure forms and some characteristics of slope failure are analyzed. By comparing with the data of existing slopes, the hazard of slope failure is examined. There fundamental results could be applied to the future measures of slope failure.

• Advances in environmental research
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• v.1 no.3
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• pp.181-189
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• 2012

Trihalomethanes, produced as a result of chlorination of drinking water, are considered a potential health hazard. The trihalomethane formation potential (THMFP) of a raw water source may indicate the maximum trihalomethanes (THMs) that are likely to be produced when chlorine reacts with natural organic matter (NOM) present in the water. A study was conducted to evaluate the THMFP in seven different drinking water sources in the vicinity of Kalpakkam, a rural township, on the east coast of India. Water from seven stations were analysed for THMFP. THMFP was compared with surrogate parameters such as dissolved organic carbon (DOC), ultraviolet absorbance ($UV_{254}$) and bromide. The data showed that THMFP was high in water from open wells as compared to closed bore wells, possibly due to more photosynthetic activity. Proximity to sea, and consequently the levels of bromide, was an important factor that influenced THM formation. THM surrogate parameters showed good correlation with THMFP.