• Journal of the Korean Child Neurology Society
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• v.26 no.4
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• pp.215-220
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• 2018

Purpose: Few reports have described the prognostic factors affecting the occurrence of subsequent unprovoked seizure in patients who present with febrile seizure (FS) after 6 years of age. We investigated the prognostic factors affecting the development of unprovoked seizures after FS among patients from Jeju Island. Methods: We included patients who developed FS after 6 years of age, who presented to our outpatient clinic between January, 2011 and June, 2017. Clinical data were obtained through chart reviews and phone call interviews. We used logistic regression analysis to analyze the risk factors associated with the occurrence of subsequent unprovoked seizure. Results: Of the 895 patients who presented to our hospital due to their febrile seizure, 83 developed FS after 6 years of age. Among them, 3 patients were prescribed antiepileptic drugs before the onset of the unprovoked seizure, and 4 patients developed an unprovoked seizure before 6 years of age. Thus, overall, 76 patients were included in the study. 51 patients developed first FS before 6 years of age. In the remaining patients, the first FS developed after 6 years of age. The mean observational period since the last outpatient follow-up visit was 3.2 years (median 3.04 years, range: 1.42-4.71 years). Among them, 21% developed an unprovoked seizure. Logistic regression analysis showed that electroencephalographic (EEG) abnormalities served as an independent risk factor for a subsequent unprovoked seizure. Conclusion: EEG is the proper diagnostic tool to predict the risk of a subsequent unprovoked seizure in patients with FS after 6 years of age.

• The Korean Journal of Applied Statistics
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• v.22 no.5
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• pp.943-960
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• 2009

This study suggests an algorithm for generating TMY(typical meteorological year) for the Korean peninsula, and generates the TMY based on the algorithm using 11 years(1998~2008) wind data observed at 77 sites of Regional Meteorological Offices(RMO). The algorithm consists of computing TMM scores based on the various statistics defined by the Fikenstein-Shafer statistical model and, in turn, generating TMY based on the TMM scores. Also the algorithm has two stages designed to yield the best representation of the regional wind characteristics appeared during the 11 years(1998~2008). The first stage is designed for the representation of each of 77 regions of RMO and the second is for the Korean peninsula. Various comparison studies are provided to demonstrate the properties of the TMY like its utility and typicality.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5518-5524
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• 2011

The purpose of this study is to investigate the change of balance ability on aging by measuring balance ability of elderly females whose age is over 65. The subjects are ten elderly women (the mean age: 71.9) able to walk without assistants, the assistant equipments and drug dependence and ten young healthy women (the mean age: 23.2). We measured stability index (ST), Fourier index (F), weight distribution (WD), weight distribution index (WDI), synchronization index (SI) and fall index (FI) by using Tetrax (Tetra-ataxiometric Posturography). In result, STs and Fs at the low frequency region (F1) represented the significant difference between two groups at all postures with PO (pillow with eye open) exception (p<.01). Fs at the other frequency regions (F2~F8) represented the significant difference between two groups (p<.05). WDI of the elderly women represented the higher values than the young women at all postures but there are the significant difference at PO and PC (pillow with eye closed) only. These results may be due to age-related ability decline of somatesthesia, vestibular organ, central nervous system.

• Proceedings of the KSRS Conference
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• 2009.03a
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• pp.151-154
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• 2009

MODIS Aqua에 의한 한반도 주변 해역의 관측은 엽록소의 변동을 관측하여 해양환경변화를 관측하는데 주로 연구되었다. 그러나 황해는 Case II 해역으로 해양의 엽록소 관측에 오차가 크기 때문에 동해와 남해, 동중국해역을 관측한 연구가 발표되어 왔다. 특히 적조와 같은 이상변동을 관측하는데 해색자료의 활용은 매우 활발한 연구가 이루어졌다. 하지만 K490(Diffuse attenuation coefficient for downwelling irradiance at 490nm)은 OCTS, SeaWiFS, MODIS, MERIS 등의 해색자료에 의해 많은 자료가 생산되고 있으나 이를 이용한 한반도 주변 해역의 해양환경변동에 관한 연구는 부족한 실정이다. 본 연구에서는 2008년 한반도 주변해역에서 관측된 MODIS 자료를 처리하여 K490에 의한 시-공간적 변화를 분석하였다. 특히 K490에 의한 월 변화(monthly)와 통계처리 결과를 분석하여 기후변화의 주요 분석인자인 해양의 일차생산력을 판단하는데 중요한 영향을 미치는 K490의 공간 특성을 제시하였다. 한반도 주변 해역의 K490에 의한 시-공간적 특성은 육상의 주요 하천에서 기인하는 부유사와 서남해역의 재부유 물질에 의한 영향이 시-공간적으로 뚜렷하게 나타나는 것을 파악할 수 있었다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.10
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• pp.4989-4995
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• 2013

The purpose of this study was to evaluate oral health status using oral health index in the elderly population and determine methods for improving oral health status. The date collected from 'The fifth korean national health and nutrition examination survey 2010' was analyzed in this study. The subjects included in this study were 712 elderly people, aged 65 years or older and who had completed the oral examination, health questionnaires and nutrition examination. Statistical analysis was done using the SPSS 19.0 for Windows. We determined Frequency analysis and multiple regression analysis. General characteristics and oral health behaviors showed differences in number of teeth associated with as male, the lower age, as dong, the higher education level, the lower smoking, the more use oral health goods, in DMFT associated with the lower age, the lower income level, the higher education level, in FS-T associated with as female, the higher income level, the more use brushing, in T-Health associated with as male, the lower age, as dong, the lower smoking, the more use oral health goods, in CPI associated with as male, the lower age, as dong, the lower smoking, the more use oral health goods. In conclusion, oral health behavior have effect on oral health index, in order to improve the quality of life and promote oral health of the elderly, oral health education system should be organized. Local governments should be supported active and various oral health program for the elderly.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.72-78
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• 2016

This study examined the oral health-related quality of life of the elderly using the oral health index and dental prosthesis status, and explored methods to improve the oral health status. The data collected from 'The fifth Korean national health and nutrition examination survey 2010' were analyzed. The subjects were 2273 elderly people, aged 65 years or older, who had completed an oral examination, health questionnaires and nutrition examination. Statistical analysis was done using the SPSS 22.0 for Windows. Frequency analysis, multiple regression analysis and structural equation model were used for statistical analysis. The general characteristics, oral health index and dental prosthesis showed differences in the subjective oral health status associated with as age, ST, FS-T, T-Health, maxillary crown needs, maxillary denture needs, mandibular denture needs, chewing status associated with the income level, FS-T, maxillary crown needs, maxillary denture needs, mandibular denture needs, speaking status associated with the ST, T-Health, maxillary implant status, and maxillary denture needs. In conclusion, both the oral health index and dental prosthesis needs affect the oral health related quality of life of the elderly. Governments should implement a variety of oral health programs and dental prosthesis policies to improve the quality of life related oral health of the elderly.

• Journal of the Korea Society of Computer and Information
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• v.28 no.4
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• pp.21-29
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• 2023

In this paper, we propose an AI-based system for automatically classifying industry and occupation codes in the population census. The accurate classification of industry and occupation codes is crucial for informing policy decisions, allocating resources, and conducting research. However, this task has traditionally been performed by human coders, which is time-consuming, resource-intensive, and prone to errors. Our system represents a significant improvement over the existing rule-based system used by the statistics agency, which relies on user-entered data for code classification. In this paper, we trained and evaluated several models, and developed an ensemble model that achieved an 86.76% match accuracy in industry and 81.84% in occupation, outperforming the best individual model. Additionally, we propose process improvement work based on the classification probability results of the model. Our proposed method utilizes an ensemble model that combines transfer learning techniques with pre-trained models. In this paper, we demonstrate the potential for AI-based systems to improve the accuracy and efficiency of population census data classification. By automating this process with AI, we can achieve more accurate and consistent results while reducing the workload on agency staff.

• Journal of dental hygiene science
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• v.15 no.3
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• pp.259-264
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• 2015

For this experiment, specimen was manufactured by injecting polymer and monomer into silicon mold with volume ratio of 2.5:1 based on ISO 20795-2 so that average thickness, width and length of specimen would be maintained as 3.3 mm, 10.0 mm and 65.0 mm, respectively depending on spray on technique. Specimen was divided into 3 groups ($25^{\circ}C$, $40^{\circ}C$, $70^{\circ}C$) depending on polymerization temperature and 10 specimen was manufactured for each group and it was polymerized in water tank of ${\pm}1^{\circ}C$ under the setting condition of polymerization time of 15 minutes and pressure of 3 bar. After keeping specimen in distilled water of $37^{\circ}C$ for over 48 hours before experiment, flexural strength (FS) and elasticity modulus (EM) of specimen being tested by using Intron (3344; Instron; Instron). SPSS ver. 16.0 was used for analysis and post-hoc test of Scheffe was performed after using one-way ANOVA. When comparing mean value of FS of resin for orthodontics, it was represented in the range of 71.500 MPa for $25^{\circ}C$ group, 74.920 MPa for $40^{\circ}C$ group and 76.880 MPa for $70^{\circ}C$ group and difference was shown in the order of $25^{\circ}C$ group <$40^{\circ}C$ group <$70^{\circ}C$ group but such difference was not significant statistically (p=0.052). Result of EM mean value of resin for orthodontics was more polymerization temperature was high, the more was significant difference represented in the order of $25^{\circ}C$ group <$40^{\circ}C$ group <$70^{\circ}C$ group (p<0.039).

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.288-296
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• 2013

The purpose of this study were carpal tunnel syndrome in stroke patients according to the degree of spasticity in the median nerve cross-sectional area, nerve conduction velocity, and to evaluate differences in upper extremity function. The subjects of this study was in adult patients with stroke 42 patients from 21 patients CTS group and 21 patients Non-CTS group were selected. Measurement of median nerve-cross sectional area, nerve conduction velocity, GST, FMAS, CTS-FSS was measured. The study results were each group between the unaffected side and the affected side CTS and Non-CTS group in each grade between groups unaffected side(p<.001), and affected side(p<.001) median nerve-cross sectional area, median motor and sensory nerve onset latency, there was a statistically significant difference. CTS and Non-CTS group between groups in each grade GST(p<.05), FMAS(p<.05), CTS-FSS(p<.001), there was a statistically significant difference. In this study, the carpal tunnel pathokinesiology ever presented by the contents of upper extremity functional training in stroke patients is one of the information that you need to consider when presented.

• Journal of dental hygiene science
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• v.12 no.6
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• pp.607-616
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• 2012

The purpose of this study was to examine the self-rated oral health status and oral health concern of 6,094 adults over the age of 19, which were both related to subjective oral health awareness, based on the second-year (2008) raw data of the 4th National Health and Nutrition Survey. 1. As for subjective oral health awareness, 49.4 percent replied they were in bad oral health when they were asked about self-rated oral health status. Regarding oral health concern, 62.6 percent answered they were sort of concerned about oral health. 2. As to oral health indexes by sociodemographic characteristics, there were statistically significant differences in oral health indexes according to gender, age, academic credential, monthly mean household income, frequency of eating between meals and toothbrushing frequency. Smoking made no statistically significant differences to oral health indexes (p<0.000). 3. Concerning self-rated oral health status by sociodemographic characteristics, no significant differences were found according to gender, age and academic credential, and there were statistically significant differences according to monthly mean household income and smoking (p<0.000), frequency of eating between meals (p<0.018), toothbrushing frequency (p<0.003). 4. In relation to oral health concern by sociodemographic characteristics, gender and smoking made no significant differences, and statistically significant differences were found according to age (p<0.003), academic credential, monthly mean household income, frequency of eating between meals and toothbrushing frequency (p<0.000). 5. In regard to the relationship between subjective oral health awareness and oral health indexes, none of the oral health indexes had a significant relationship to self-rated oral health status, and there were statistically significant differences in oral health concern according to functioning teeth index (p<0.011) and community periodontal index (p<0.017).