• Asian Pacific Journal of Cancer Prevention
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• v.16 no.18
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• pp.8177-8186
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• 2016

The present study was aimed at determining the effects of alkylating and oxidative stress inducing agents on a newly identified variant of DNA polymerase beta ($pol{\beta}{\Delta}_{208-304}$) specific for ovarian cancer. $Pol{\beta}{\Delta}_{208-304}$ has a deletion of exons 11-13 which lie in the catalytic part of enzyme. We compared the effect of these chemicals on HeLa cells and HeLa cells stably transfected with this variant cloned into in pcDNAI/neo vector by MTT, colony forming and apoptosis assays. $Pol{\beta}{\Delta}_{208-304}$ cells exhibited greater sensitivity to an alkylating agent and less sensitivity towards $H_2O_2$ and UV when compared with HeLa cells alone. It has been shown that cell death in $Pol{\beta}{\Delta}_{208-304}$ transfected HeLa cells is mediated by the caspase 9 cascade. Exon 11 has nucleotidyl selection activity, while exons 12 and 13 have dNTP selection activity. Hence deletion of this part may affect polymerizing activity although single strand binding and double strand binding activity may remain same. The lack of this part may adversely affect catalytic activity of DNA polymerase beta so that the variant may act as a dominant negative mutant. This would represent clinical significance if translated into a clinical setting because resistance to radiation or chemotherapy during the relapse of the disease could be potentially overcome by this approach.

• Korean Journal of Biological Psychiatry
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• v.8 no.2
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• pp.226-232
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• 2001

The pharmacotherapy of depression has reduced morbidity and improved outcome for many depressive patients. A wide range of classical and new antidepressants are available for their treatment. However, 30-40% of all patients do not respond sufficiently to the initial treatment and present adverse effects. Pharmacogenetics studies the genetic basis of an individual's ability to respond to pharmacotherapy. Recently, some reports on serotonin transporter gene polymorphisms and their influence on the response to antidepressive therapy provide an interesting diagnostic tool in assessing the chances of response to antidepressants. We also investigated the relationship between serotonin transprter polymorphisms(5-HTTLPR) and the long-term effect of the antidepressant treatment. 128 depressive patients were enrolled into 2nd year study. The therapeutic response of each subset was not different at 8th, 16th week, but the subset with homozygote(l/l) of long variant showed a better therapeutic response to antidepressant than the heterozygote(l/s) of long and short variant, which showed a better therapeutic response than the subset with homozygote (s/s) of short variant at 1st year and 2nd year after the antidepressant treatment. This result shows that the serotonin transporter polymorphisms may be related to the long-term effect of antidepressant treatment. The potential for pharmacogenomics, the use of genetic information to guide pharmacotherapy and improve outcome by providing individualized treatment decisions, has gained increasing attention. pharmacogenomics will contribute to individualize drug choice by using genotype to predict positive clinical outcomes, adverse reactions, and levels of drug metabolism. Personalized medicine, the use of marker-assisted diagnosis and targeted therapies derived from an individual molecular profile, will impact the antidepressant therapy and this approach will replace the traditional trial-and-error practice of medicine.

• Journal of Korea Trade
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• v.24 no.4
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• pp.1-17
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• 2020

Purpose - Since China has been South Korea's biggest export destination, uncertainty shocks originating from it would influence South Korea's exports. This paper evaluates the effects of China's economic policy uncertainty on Korea's exports to explore the transmission channels. Design/methodology - Incorporating endogeneities and nonlinearities, this study employs a quarterly time-varying parameters vector autoregressive model to investigate the relationships between China's economic policy uncertainty and Korea's exports, where the overparameterization due to time-varying specifications is overcome by a novel stochastic model specification search framework. According to previous theoretical studies, this paper assesses two channels, demand shock channel and exchange rate channel, through which foreign uncertainty affects Korea's exports. This paper identifies the primary drivers of Korea's aggregate exports and analyzes the rationales for the time-variant impacts of China's economic policy uncertainty on Korea's exports to China. Findings - Our empirical results reveal that Korea's aggregate exports are less responsive to China's economic policy uncertainty shocks and significantly move together with global demand. In contrast, its bilateral exports to China are highly responsive in a negative and time-variant way. Moreover, Chinese investment is an important channel through which China's economic policy uncertainty affects Korea's exports to China after 2010. Further, the time-variant effects of China's economic policy uncertainty on Korea's exports to China are related to changes in China's foreign trade policies, global economic conditions, and China's degree of economic freedom. Originality/value - Few previous studies touch the effects of external uncertainty shocks on South Korea's exports. This paper attempts to fill this gap and explicitly investigate the impacts of China's economic policy uncertainty on Korea's exports from a time-varying perspective. As Korea is an export-oriented economy, this study provides insights for the Korean government to understand the transmissions of external uncertainty better.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.24 no.6
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• pp.535-545
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• 2021

Purpose: This study aimed to analyze the practice of complementary feeding and its influencing factors in children under 2 years of age in Indonesia. Methods: This cross-sectional study used data obtained from the 2017 National Socioeconomic Survey. The sample totaled 1,751 households with children under 2 years of age, who received complementary feeding in urban and rural communities. Furthermore, the practice of complementary feeding was evaluated on the basis of the variations in provided food grouped into two categories: complete and incomplete. This study applied bivariate and multivariate analytical methods. Multivariate analysis was performed using binary logistic regression. Results: The proportion of children under 2 years of age who received complementary feeding with complete variant food was 15.9%, while that with incomplete variant food was 84.1%. Furthermore, the factor influencing the practice of complementary feeding among the children was the mother's educational level (odds ratio: 1.481, 95% confidence interval: 0.245-0.943). Conclusion: Complete complementary feeding, which involves a variety of food sources, is the best approach to improve the nutritional status of infants. Therefore, the source of food for complementary feeding must be accessible to all communities.

• The Journal of Industrial Distribution & Business
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• v.13 no.6
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• pp.9-18
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• 2022

Purpose: The government around the world is still highlighting the effect of the new variant of Covid-19. The government continues to make efforts to restore the economy through several programs, one of them is National Economic Recovery. This program is expected to increase public and investor confidence in handling Covid-19. This study aims to capture public sentiment on the economic growth rate in Indonesia, especially during the third wave of the omicron variant of the covid-19 virus, that is at the time in the fourth quarter of 2021. Research design, data, and methodology: The approach used in this research is to collect crowdsourcing data from twitter, in the range of 1st to 10th October 2021. The analysis is done by building model using Deep Learning Neural Network method. Results: The result of the sentiment analysis is that most of the tweets have a neutral sentiment on the Economic Growth discussion. Several central figures who discussed were Minister of Coordinating for the Economy of Indonesia, Minister of State-Owned Enterprises. Conclusions: Data from social media can be used by the government to capture public responses, especially public sentiment regarding economic growth. This can be used by policy makers, for example entrepreneurs to anticipate economic movements under certain conditions.

• Journal of Korean Neurosurgical Society
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• v.61 no.3
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• pp.407-414
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• 2018

Objective : The purpose of the present study was to describe an OrBitoZygomatic (OBZ) surgical variant that implies the drilling of the orbital roof and lateral wall of the orbit without orbitotomy. Methods : Design : cross-sectional study. Between January 2010 and December 2014, 18 patients with middle fossa lesions underwent the previously mentioned OBZ surgical variant. Gender, age, histopathological diagnosis, complications, and percentage of resection were registered. The detailed surgical technique is described. Results : Of the 18 cases listed in the study, nine were males and nine females. Seventeen cases (94.5%) were diagnosed as primary tumoral lesions, one case (5.5%) presented with metastasis of a carcinoma, and an additional one had a fibrous dysplasia. Age ranged between 27 and 73 years. Early complications were developed in four cases, but all of these were completely resolved. None developed enophthalmos. Conclusion : The present study illustrates a novel surgical OBZ approach that allows for the performance of a simpler and faster procedure with fewer complications, and without increasing surgical time or cerebral manipulation, for reaching lesions of the middle fossa. Thorough knowledge of the anatomy and surgical technique is essential for successful completion of the procedure.

• Genomics & Informatics
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• v.21 no.4
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• pp.48.1-48.8
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• 2023

Liver cancer is the fourth leading cause of death worldwide. Well-known risk factors include hepatitis B virus and hepatitis C virus, along with exposure to aflatoxins, excessive alcohol consumption, obesity, and type 2 diabetes. Genomic variants play a crucial role in mediating the associations between these risk factors and liver cancer. However, the specific variants involved in this process remain under-explored. This study utilized a bioinformatics approach to identify genetic variants associated with liver cancer from various continents. Single-nucleotide polymorphisms associated with liver cancer were retrieved from the genome-wide association studies catalog. Prioritization was then performed using functional annotation with HaploReg v4.1 and the Ensembl database. The prevalence and allele frequencies of each variant were evaluated using Pearson correlation coefficients. Two variants, rs2294915 and rs2896019, encoded by the PNPLA3 gene, were found to be highly expressed in the liver tissue, as well as in the skin, cell-cultured fibroblasts, and adipose-subcutaneous tissue, all of which contribute to the risk of liver cancer. We further found that these two SNPs (rs2294915 and rs2896019) were positively correlated with the prevalence rate. Positive associations with the prevalence rate were more frequent in East Asian and African populations. We highlight the utility of this population-specific PNPLA3 genetic variant for genetic association studies and for the early prognosis and treatment of liver cancer. This study highlights the potential of integrating genomic databases with bioinformatic analysis to identify genetic variations involved in the pathogenesis of liver cancer. The genetic variants investigated in this study are likely to predispose to liver cancer and could affect its progression and aggressiveness. We recommend future research prioritizing the validation of these variations in clinical settings.

• Proceedings of the Korean Statistical Society Conference
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• 2002.05a
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• pp.73-78
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• 2002

In this paper we develop a method for constructing a Bayesian HPD (highest probability density) interval of a ratio of two multivariate normal generalized variances. The method gives a way of comparing two multivariate populations in terms of their dispersion or spread, because the generalized variance is a scalar measure of the overall multivariate scatter. Fully parametric frequentist approaches for the interval is intractable and thus a Bayesian HPD(highest probability densith) interval is pursued using a variant of weighted Monte Carlo (WMC) sampling based approach introduced by Chen and Shao(1999). Necessary theory involved in the method and computation is provided.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1993.04b
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• pp.375-379
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• 1993

공정계획(process planning)이란 제품에 대한 설계정보 및 제한된 가용자원에 대한 정보를 바탕으로 비용, 생산량을 고려하여 원자재를 원하는 형태로 변형시키기 위한 방법의 체계적인 결정과정이라 할 수 있으며, 생산계획(production planning: scheduling)이나 작업계획(operation planning)과 연계하여 설계와 생산을 연결하는 교량 역할을 수행한다. 이러한 공정계획 작업을 컴퓨터에 의해 자동화하기 위한 컴퓨터 원용 공정계획(computer aided process planning : CAPP)은 변환적 방식(variant approach)에서 시작되어 창생적 방식(generative approach)으로 발전되어 왔으며 인공지능 기법을 응용 한 지식기반 CAPP(knowledge based CAPP) 방식에 이르기 까지 CAM-1's CAPP, APPAS, GARE, SIPS, XCUT등 수많은 연구가 행해 졌다. 본 연구에서는 자동차 부품 업체인 K사의 공정계획 사례를 바탕으로 범용성이 있는 개방형 공정계획 시스템의 개발을 목표로 한다. 본 시스템에서 i) 설계정보는 객체지향에 의해 표현된 형상특징을 사용하고 ii) 공정계획은 국부적 공정계 획과 전체적 공정계획 과정(golbal planning)으로 구별하였고 iii) 공정계획을 위한 정보는 지식 베이스(knowledge base : KB) 와 데이타 베이스(data base : DB)로 구분하였다. 또한 iv) 정보의 모듈화를 통하여 임의의 제조라인에 적합하도록 개방형을 추구하였다.

• Management Science and Financial Engineering
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• v.6 no.2
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• pp.29-45
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• 2000

We consider the design of a two-level telecommunication network having logical full-mesh/star topology, with the implementation of conduit systems taken together. The design problem is then viewed as consisting of three subproblems: locating hub facilities, placing a conduit network, and installing cables therein to configure the logical full-mesh/star network. Without partitioning into subproblems as done in the conventional approach, the whole problem is directly dealt with in a single integrated framework, inspired by some recent successes with the approach. We successfully formulate the problem as a variant of the classical multicommodity flow model for the fixed charge network design problem, aided by network augmentation, judicious commodity definition, and some flow restrictions. With our optimal model, we solve some randomly generated sample problems by using CPLEX MIP program. From the computational experiments, it seems that our model can be applied to the practical problem effectively.