• Microbiology and Biotechnology Letters
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• v.16 no.4
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• pp.327-333
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• 1988

For optimal production of recombinant human interleukin-2 (IL-2) in E. coli the effect of fermentation conditions on cell growth, IL-2 production, and stability of recombinant cells were investigated. Among the complex nutrients tested in this work, yeast extract, peptone and corn steep liquor were found to be effective for recombinant cell growth. The recombinant cells were maintained stably under repression condition (3$0^{\circ}C$), but the stability of recombinant cells were drastically reduced upon induction of IL-2 expression (42$^{\circ}C$) even under the selection pressure. Addition of antibiotics to the culture medium resulted in the cell growth inhibition without significant improvement in recombinant stability. When the expression of IL-2 gene was induced at different growth phases, highest IL-2 production was achieved by the induction of IL-2 at the middle-exponential growth phase. It was found that the production of IL-2 significantly inhibited the cell growth and the ex-pression of other genes in the plasmid.

• Journal of Microbiology
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• v.37 no.2
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• pp.97-101
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• 1999

Random hexapeptide library on the surface of filamentous bacteriophage was constructed using the SurfZAP vector. The size of the library was approximately 105. The peptide insert was flanked by two cysteines to constrain the peptide structure with a disulfide bond. This library was screened for the topoisomerase II binding peptide. Dramatic enrichment of the fusion phage over the VCS M13 helper phage was demonstrated by bio-panning affinity selection.

• Journal of Korea Port Economic Association
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• v.27 no.2
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• pp.1-26
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• 2011

This study was conducted to select the location of the logistics center for environment-friendly agricultural products in the Gwangyang Bay Area. AHP(Analytic Hierarchy Process) technique was used to examine location selection factors and factor hierarchy was made through a questionnaire survey and an expert interview for objective and quantitative decision. The hierarchy process of location factors of logistics center for environment-friendly agricultural products in the Gwangyang Bay Area were categorized into five factors such as natural factors, economic factors, social factors, distribution efficiency, and land use plan. Then, those factors were sub-categorized into three factors each. As a result of pair-wise comparison analysis of five categories, the weight of economic factors was the highest, and easy cargo transportation, fitness to higher-order plan, climate, land price, and limitation regulations of sub-categorized factors appeared as comparative evaluation criteria. The priority of the final candidate was decided through this process. While the weight of the Yulchon II Industrial Complex was the highest in natural and economic factors were the highest, the weight of the Gwangyang Hwanggeum Industrial Complex was the highest in social factors, distribution efficiency, and land use plan. The result of the final analysis showed that the Gwangyang Hwanggeum Industrial Complex was the most optimal location candidate for the logistics center for environment-friendly agricultural products.

• Korean Journal of Radiology
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• v.22 no.3
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• pp.334-343
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• 2021

Objective: We aimed to develop a prediction model for diagnosing severe aortic stenosis (AS) using computed tomography (CT) radiomics features of aortic valve calcium (AVC) and machine learning (ML) algorithms. Materials and Methods: We retrospectively enrolled 408 patients who underwent cardiac CT between March 2010 and August 2017 and had echocardiographic examinations (240 patients with severe AS on echocardiography [the severe AS group] and 168 patients without severe AS [the non-severe AS group]). Data were divided into a training set (312 patients) and a validation set (96 patients). Using non-contrast-enhanced cardiac CT scans, AVC was segmented, and 128 radiomics features for AVC were extracted. After feature selection was performed with three ML algorithms (least absolute shrinkage and selection operator [LASSO], random forests [RFs], and eXtreme Gradient Boosting [XGBoost]), model classifiers for diagnosing severe AS on echocardiography were developed in combination with three different model classifier methods (logistic regression, RF, and XGBoost). The performance (c-index) of each radiomics prediction model was compared with predictions based on AVC volume and score. Results: The radiomics scores derived from LASSO were significantly different between the severe AS and non-severe AS groups in the validation set (median, 1.563 vs. 0.197, respectively, p < 0.001). A radiomics prediction model based on feature selection by LASSO + model classifier by XGBoost showed the highest c-index of 0.921 (95% confidence interval [CI], 0.869-0.973) in the validation set. Compared to prediction models based on AVC volume and score (c-indexes of 0.894 [95% CI, 0.815-0.948] and 0.899 [95% CI, 0.820-0.951], respectively), eight and three of the nine radiomics prediction models showed higher discrimination abilities for severe AS. However, the differences were not statistically significant (p > 0.05 for all). Conclusion: Models based on the radiomics features of AVC and ML algorithms may perform well for diagnosing severe AS, but the added value compared to AVC volume and score should be investigated further.

• Korean Journal of Radiology
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• v.24 no.1
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• pp.51-61
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• 2023

Objective: To develop and test a machine learning model for classifying human papillomavirus (HPV) status of patients with oropharyngeal squamous cell carcinoma (OPSCC) using ¹⁸F-fluorodeoxyglucose (¹⁸F-FDG) PET-derived parameters in derived parameters and an appropriate combination of machine learning methods in patients with OPSCC. Materials and Methods: This retrospective study enrolled 126 patients (118 male; mean age, 60 years) with newly diagnosed, pathologically confirmed OPSCC, that underwent ¹⁸F-FDG PET-computed tomography (CT) between January 2012 and February 2020. Patients were randomly assigned to training and internal validation sets in a 7:3 ratio. An external test set of 19 patients (16 male; mean age, 65.3 years) was recruited sequentially from two other tertiary hospitals. Model 1 used only PET parameters, Model 2 used only clinical features, and Model 3 used both PET and clinical parameters. Multiple feature transforms, feature selection, oversampling, and training models are all investigated. The external test set was used to test the three models that performed best in the internal validation set. The values for area under the receiver operating characteristic curve (AUC) were compared between models. Results: In the external test set, ExtraTrees-based Model 3, which uses two PET-derived parameters and three clinical features, with a combination of MinMaxScaler, mutual information selection, and adaptive synthetic sampling approach, showed the best performance (AUC = 0.78; 95% confidence interval, 0.46-1). Model 3 outperformed Model 1 using PET parameters alone (AUC = 0.48, p = 0.047) and Model 2 using clinical parameters alone (AUC = 0.52, p = 0.142) in predicting HPV status. Conclusion: Using oversampling and mutual information selection, an ExtraTree-based HPV status classifier was developed by combining metabolic parameters derived from ¹⁸F-FDG PET/CT and clinical parameters in OPSCC, which exhibited higher performance than the models using either PET or clinical parameters alone.

• 한국정보디스플레이학회:학술대회논문집
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• 2008.10a
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• pp.9-12
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• 2008

For the large-sized and post-ultra definition TFT-LCD, improved drivability is prerequisite not only for the integration of driving circuit on glass but also for the chargeability of each pixel. In order to meet required drivability, currently adopted process architecture and materials are modified for the RC delay reduction, including the drastic increase of gate bus thickness and its related solution for step coverage. We present new process architecture and material selection for the next generation TFT-LCD devices.

• Proceedings of the Korean Society of Plant Biotechnology Conference
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• 2005.11a
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• pp.430-430
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• 2005

• Journal of agricultural medicine and community health
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• v.16 no.2
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• pp.125-133
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• 1991

The medical insurance system has been adopted in rural areas in 1988. Since then, the utilization of medical care services has increased rapidly in rural areas. According to the various study on medical care utilization, the people in rural areas used more curative care services than urban areas. The purpose of this study was to analyze the utilization and expenses of medical care services in designated rural areas : Choonseong Gun, Kangwon Province ; and Soonchang Gun, Cheonbuk province in Korea. Medical care utilization of medical care beneficiaries showed slightly increase, while there was a decrease of 18% and more for the medicaid. Regarding selection of medical care institutions, medical care beneficiaries used more hospitals and clinics than health center networks, but the health center networks was used more by the medicaid. However, the hospitalized Soonchang health center was able to provide more curative care to the people than the other two health centers. More than 50% of the patients treated by hospitalized health center were residents of the place in which health center was located.

• Proceedings of the Safety Management and Science Conference
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• 2006.11a
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• pp.523-529
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• 2006

Nowadays, a logistics and distribution center plays an important role in all industries. In addition to its traditional functions as a storage and unloading facility the distribution center serves as an assembly place for information, a source of information, and a turning point for the flow of information. On account of the above-mentioned reasons, each and every industry has increasing need of logistics distribution center. At this juncture, the present author thinks that it is necessary to make a study of the establishment and maximization of a ceramics logistics distribution center as a way for activating the ceramics industry.

• Journal of Korean Neurosurgical Society
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• v.62 no.3
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• pp.328-335
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• 2019

Epilepsy is one of the most common chronic neurological disorder affecting 6-7 per 1000 worldwide. Nearly one-third of patients with newly diagnosed epilepsy continue to have recurrent seizures despite adequate trial of more than two anti-seizure drugs : drug-resistant epilepsy (DRE). Children with DRE often experience cognitive and psychosocial co-morbidities requiring more urgent and aggressive treatment than adults. Epilepsy surgery can result in seizure-freedom in approximately two-third of children with improvement in cognitive development and quality of life. Understanding fundamental differences in etiology, co-morbidity, and neural plasticity between children and adults is critical for appropriate selection of surgical candidates, appropriate presurgical evaluation and surgical approach, and improved overall outcome.