• Health Policy and Management
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• v.33 no.2
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• pp.118-128
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• 2023

Background: Personal socio-economic abilities are crucial as it affects health inequalities. These multidimensional inequalities across the regions have been structured and fixed. This study aimed to analyze health vulnerabilities by regional cluster and identify regional health disparities of self-rated health, using nationally representative cross-sectional data. Methods: This study used personal and regional data. Data from the Community Health Survey 2021 were analyzed. K-means cluster analysis was applied to 250 si-gun-gu using administrative regional data. The clusters were based on three areas: physical environment, health-related behaviors and biological factors, and the psychosocial environment through the conceptual framework for action on the social determinants of health. And binary logistic regression analyses were conducted to examine the differences in self-rated health status by the regional clusters, controlling human biology, environment, lifestyle, and healthcare organization factors. Results: The most vulnerable group was group 3, the moderate vulnerable group was group 1, and the least vulnerable group was group 2. The group 2 was more likely to have high self-rated health status than the moderate vulnerable group (odds ratio [OR], 1.023; p<0.001). And the group 3 showed low self-rated health status than the moderate vulnerable group (OR, 0.775; p<0.001). However, the moderate vulnerable group had significantly higher self-rated health status than the most vulnerable group (group 2: OR, 1.023; p<0.001; group 3: OR, 0.775; p<0.001). Conclusion: These results demonstrate that community members' health status is influenced by regional determinants of health and individual levels. And these contribute to understanding the importance of specific and differentiated interventions like locally tailored support programs considering both individual and regional health determinants.

• Journal of The Korean Society of Agricultural Engineers
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• v.58 no.3
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• pp.81-90
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• 2016

It is significant to redevelop the deterioration reservoir through raising for countermeasure to climate change and Earthquake improvement of reservoir. This study aims to investigate the behavior of deterioration reservoir with poor-fabricated core subjected to raising water level and earthquake using numerical analysis. From the analysis results, water level raising and earthquakes induce crack and subsidences at the crown and the front side of deterioration reservoir. For the reinforcement of the deterioration reservoir is required appropriate measures method and raised method suitable, drainage and slope protection method judged to be necessary.

• Journal of Korea Water Resources Association
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• v.51 no.5
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• pp.383-393
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• 2018

The regional frequency analysis is the method which uses not only sample of target station but also sample of neighborhood stations in which are classified as hydrological homogeneous regions. Consequently, identification of homogeneous regions is a very important process in regional frequency analysis. In this study, homogeneous regions for regional frequency analysis of precipitation were identified by the self-organizing map (SOM) which is one of the artificial neural network. Geographical information and hourly rainfall data set were used in order to perform the SOM. Quantization error and topographic error were computed for identifying the optimal SOM map. As a result, the SOM model organized by $7{\times}6$ array with 42 nodes was selected and the selected stations were classified into 6 clusters for rainfall regional frequency analysis. According to results of the heterogeneity measure, all 6 clusters were identified as homogeneous regions and showed more homogeneous regions compared with the result of previous study.

• Journal of Korean Academy of Nursing
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• v.42 no.5
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• pp.749-758
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• 2012

Purpose: The purpose of this study was to develop a tool for measuring the intra-operative caring as perceived by regional anesthesia patients. Methods: A preliminary instrument with 54 questions, based on a literature review and semi-structured interviews with 11 regional anesthesia patients, was developed. A group of experts revised individual questions, and 34 questions were finally selected. This tool was tested with 137 regional anesthesia patients admitted to D university hospital in B city from August to October 2008. Results: The validity and reliability of the tool were tested using factor analysis. After item analysis, one question with a correlation coefficient under .30 was discarded After performing factor analysis on the final 33 questions, 7 factors were identified; holistic needs fulfillment, consideration, protective environment, cautiousness, concern, information, physical comfort. The total variance shown in the test was 73.5%. A Cronbach alpha of 0.96 showed the reliability of the instrument. Conclusion: Results of this study indicate that the tool is statistically reliable and valid to measure the intra-operative caring perceived by regional anesthesia patients. This tool can be utilized usefully in assessing the effects of nursing interventions for regional anesthesia patients.

• Journal of Korea Water Resources Association
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• v.52 no.12
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• pp.985-999
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• 2019

Over the last decade, droughts have become more severe and frequent in many regions, and several studies have been conducted to explore the recent drought. Copula-based bivariate drought frequency analysis has been widely used to evaluate drought risk in the context of point frequency analysis. However, the relatively significant uncertainties in the parameters are problematic when available data are limited. For this reason, the primary purpose of this study is to develop a regional drought frequency model based on the Copula function. All parameters, including marginal and copula functions in the regional frequency model, were estimated simultaneously. Here, we present a case study of recent drought 2013-2015 over the Han-River watershed where severe drought risk is consistently found to increase. The proposed model provided a reliable way to significantly reduce the uncertainty of parameters with a Bayesian modeling framework. The uncertainty of the joint return period in the regional frequency analysis is nearly three times lower than that of the point frequency analysis. Accordingly, DIC values in the regional frequency analysis model are significantly decreased by 15. The results confirm that the proposed model is not only reliably representing characteristics of historical droughts and dependencies between drought variables, but also providing the efficacy of understanding regional drought characteristics.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.3
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• pp.359-363
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• 2009

This study was performed to establish a rapid and simple analytical method for niacin (nicotinic acid and nicotinamide) using HPLC. A pretreatment method for the extraction and clean-up of niacin in infant formula sample and an instrumental condition for HPLC were optimized. Niacin was extracted by 5 mM hexanesulfonate with ultrasonication for 30 min. For the clean-up of the sample, the extract was applied to a HLB cartridge, and then niacin was eluted from the cartridge using 5 mL of 80% methanol after washing with 5 mL of n-hexane. The total recoveries were $83{\sim}104%$ and relative standard deviation were in the range of $1.5{\sim}3.5%$ during the extraction and clean-up process. Niacin was determined by gradient elution with sodium hexanesulfonate/methanol buffer as a mobile phase and a photodiode array detector (260 nm). It showed a high linearity between the content of niacin and the peak area ($r^2$=1.000) in the range of $0.02{\sim}10.0$ mg/L of nicotinic acid and nicotinamide. The detection limit was 0.02 mg/L (0.2 mg/kg in the sample). The method was successfully applied for the determination of niacin in infant formula. Total niacin contents were in the range of $53.5{\sim}140.3$ mg/kg.

• Proceedings of the Technology Innovation Conference
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• 2004.02a
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• pp.132-151
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• 2004

Regional innovation capabilities have been regarded as essential in developing regional economy. Many regional governments all over the world have been pouring great efforts to increase their regional innovation capabilities. In these days, this trend has been prevailed among Korean regional governments. In line with the active support of the central government, Korean regional governments have started their own regional innovation policies. This paper aims at discussing a regional government`s efforts in enhancing its innovation capabilities. As a representative region, we select Kyunggi Province, because it is one of the most advanced regions in Korea. We discuss Kyunggi Province`s innovation promotion efforts in terms of organization, budget, and programs. According to our analysis, the Kyunggi`s provincial government increased its innovation capabilities to a large scale. It has extended its S&T promotion organization, increased its R&D budget to a large scale, and increased its R&D promotion programmes and even initiated its own programs.

• Journal of Korea Technology Innovation Society
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• v.18 no.2
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• pp.233-263
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• 2015

This study considers the improvement of R&D promotion program and its investment efficiency for regional industry. We find out some problems of R&D promotion program and suggest plans to improve investment efficiency of R&D through practical analysis of achievement. Since the 2000s, our country has implemented diverse policies for regional industry; R&D for regional industry has become a core part of business from the point of view of regional industry. As ever, these policies are highly supported for the purpose of securing industrial competitiveness by the central government and local governments. This study, through practical analysis of certain region (Jeonbuk), reviews some problems of R&D promotion program and suggests plans to enhance the achievements of a variety of policies, strategies, and projects. We perform practical analysis using three methods for three different aspects: shift-share analysis for each industry type, performance analysis for each investment type and characteristic analysis for each company type. Reviewing the results of practical analysis, we suggest some plans to promote the collaboration of main R&D support organizations and to minimize the doubleness caused sporadically by the central government and local governments. This research will be used effectively in setting up, implementing, and evaluating R&D investments for regional Industry.

• Korean Journal of Food Science and Technology
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• v.37 no.6
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• pp.918-921
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• 2005

Quantitative analysis of flavonoids in commercial propolis extract products were compared by three colorimetric methods; aluminum chloride method, dinitrophenylhydrazine method and aluminum nitrate method, Aluminum nitrate method in Korea Health Supplement Food Code was proved to be specific only for flavones and flavonols same as aluminum chloride method, while dinitrophenylhydrazine method was specific for flavanones and dihydroflavonols. Therefore, the sum of flavonoid contents determined by 2,4-Dinitrophenylhydrazine method and aluminum nitrate method may represent the real content of total flavonoids. As for the 25 commercial propolis extract products examined, the contents of flavonoid varied from 2.15% to 9.53% except for one product.

• Korean System Dynamics Review
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• v.10 no.2
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• pp.103-120
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• 2009

Using various data derived from the regional innovation projects in the IT and BT-sectors within Chungbuk Province, this study tries to observe formation processes of network connecting structure and their spill-over effects. Considering the dynamic nature of key issues, it applies both social network analysis and causal loop methods. After a series of simulation exercises, we find that so-called extroverted regional innovation projects, that is, ones financially supported by the central government, reveal a higher tendency in the centrality, heavily depending on a handful of well reputed organizations. It is quite similar to the reinforcing mechanism, resulting in the rich-get-richer and the poor-get-poorer. Compared with the existing documents, nonetheless, it shows relatively weak in the mechanism strength, implying the fact that regional innovation projects have significantly contributed to ameliorating the unequal distribution of innovation organizations within Chungbuk Province. On the other hand, this study concludes that all the brokerage organizations related to the regional innovation projects have settled in Chungbuk Province. Whereas the Capital Region-based organizations present a higher tendency in the knowledge-network, it seems that the regional innovation projects have significantly contributed to upgrading direct and indirect competitiveness of the local organizations.