• Korean Journal of Clinical Pharmacy
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• 제30권4호
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• pp.264-269
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• 2020

Background: Inflammatory diseases can increase the prevalence of anemia. Recent studies confirmed that the prevalence of anemia is increased by atopic dermatitis (AD), a chronic inflammatory disease. Therefore, we aimed to elucidate the correlation between AD severity and prevalence of anemia. Methods: We used data of pediatric patients from the Health Insurance Review and Assessment Service (HIRA-PPS-2016). We included pediatric patients (<18 years) with AD diagnosis who were prescribed medications for AD. We applied a propensity score method with inverse probability of treatment weighting (IPTW) adjusting for differences in prevalence of confounders and performed IPTW logistic regression to evaluate associations between the anemia and severity of AD. Results: In total, 91,501 patients (mild AD: 47,054 patients; moderate-to-severe AD: 44,447 patients) <18 years who were prescribed drugs for AD were analyzed. Analysis of the probability of patients with mild AD and prevalence of anemia as a reference revealed an odds ratio (OR) of 1.159 (95% CI, 1.109-1.212; p<0.001) in moderate-to-severe AD patients, indicating a correlation between anemia prevalence and AD severity. Subgroup analysis according to gender, age group, and type of health insurance revealed there was an association between AD severity and anemia except in patients equal or older than 7 years. Conclusion: The prevalence of anemia increased with AD severity despite adjusting for confounding factors. Our results support the hypothesis that AD can cause anemia, and anemia prevalence could be increased in severe AD patients. Further studies are needed to establish a pathological basis.

• Journal of The Geomorphological Association of Korea
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• 제28권1호
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• pp.83-99
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• 2021

Burn severity analysis using satellite imagery has high capabilities for research and management in inaccessible areas. We extracted the forest fire area of the DMZ (Demilitarized Zone) in the western Imjin Estuary which is restricted to access due to the confrontation between South and North Korea. Then we analyzed the forest fire severity and recoverability using atmospheric corrected Surface Reflectance Level-2 data collected from Landsat-8 OLI (Operational Land Imagery) / TIRS (Thermal Infrared Sensor). Normalized Burn Ratio (NBR), differenced NBR (dNBR), and Relative dNBR (RdNBR) were analyzed based on changes in the spectral pattern of satellite images to estimate burn severity area and intensity. Also, we evaluated the recoverability after a forest fire using a land cover map which is constructed from the NBR, dNBR, and RdNBR analyzed results. The results of dNBR and RdNBR analysis for the six years (during May 30, 2014 - May 30, 2020) showed that the intensity of monthly burn severity was affected by seasonal changes after the outbreak and the intensity of annual burn severity gradually decreased after the fire events. The regrowth of vegetation was detected in most of the affected areas for three years (until May 2020) after the forest fire reoccurred in May 2017. The monthly recoverability (from April 2014 to December 2015) of forests and grass fields was increased and decreased per month depending on the vegetation growth rate of each season. In the case of annual recoverability, the growth of forest and grass field was reset caused by the recurrence of a forest fire in 2017, then gradually recovered with grass fields from 2017 to 2020. We confirmed that remote sensing was effectively applied to research of the burn severity and recoverability in the DMZ. This study would also provide implications for the management and construction statistics database of the forest fire in the DMZ.

• Journal of Digital Convergence
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• 제15권7호
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• pp.415-424
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• 2017

The purpose of this study was to examine the relationship among public's risk characteristics, risk severity, risk perception and risk acceptability of human stem cell technology. The subjects were 300 Koreans selected. The data were analyzed by the exploratory factor analysis, confirmatory factor analysis, correlation analysis and structural equation modeing analysis. The results were as followed. First, public's risk characteristics on human stem cell technology influenced positively on risk severity. Second, public's risk characteristics on human stem cell technology influenced positively on risk perception. Third, public's risk severity on human stem cell technology influenced positively on risk perception. Fourth, public's risk characteristics on human stem cell technology influenced negatively on risk acceptability. Fifth, public's risk severity on human stem cell technology influenced not significantly on risk acceptability. Sixth, public's risk perception on human stem cell technology influenced not significantly on risk acceptability. These results will contribute to develop the risk communication strategy on the acceptability of human stem cell technology.

• International Journal of Highway Engineering
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• 제18권6호
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• pp.173-180
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• 2016

OBJECTIVES : Fixed roadside objects are a threat to drivers when their vehicles deviate from the road. Therefore, such roadside objects need to be suitably dealt with to decrease accidents. This study determines the factors affecting the severity of accidents because of fixed roadside objects. METHODS : This study analyzed the crash severity impact of fixed roadside objects by using ordered probit regression as the analysis methodology. In this research, data from 896 traffic accidents reported in the last three years were used. These accidents consisted of sole-car accidents, fixed roadside object accidents, and lane-departure accidents on the national highway of Korea. The accident severity was classified as light injury, severe injury, and death. The factors relating to the road and the driver were collected as independent variables. RESULTS : The result of the analysis showed that the variables of the crash severity impact are the collision location (left side), gender of the driver (female), alcohol use, collision facility (roadside trees, traffic signals, telephone poles), and type of road (rural segments). Additionally, the collision location (left side), gender of the driver (female), alcohol use, collision facility (street trees, traffic signals, telephone poles), and type of road (rural segments), in order of influence, were found to be the factors affecting the crash severity in accidents due to fixed roadside objects. CONCLUSIONS : An alternative solution is urgently required to reduce the crash severity in accidents due to fixed roadside objects. Such a solution can consider the appropriate places to install breakaway devices and energy-absorbing systems.

• Journal of the Korean Society of School Health
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• 제30권2호
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• pp.164-173
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• 2017

Purpose: Despite the high incidence, the incidence of atopic dermatitis among adolescents has been continuously increasing. The study was conducted to examine the severity of atopic dermatitis among middle school students and to identify the factors affecting the severity. Methods: The data used in the analysis are from 2015 Youth Health Behavior Online Survey. Complex sample analysis was conducted to analyze the severity of atopic dermatitis which was defined by the treatment experience of atopic dermatitis and the number of absent days due to the disease as its criteria. Binary logistic regression of the factors affecting the severity of atopic dermatitis by gender was done. Results: The severity of atopic dermatitis was high in male students who were in a lower grade (freshmen), who smoked, or who consumed soft drinks at least once a week, while in female students who were in a lower grade (freshmen, sophomore), who consumed alcohol, who consumed highly caffeinated drinks at least once a week or who consumed sweet drinks at least once a week. The severity of atopic dermatitis was lower in female students who lived in big cities or medium/small sized cities or engaged in physical activities less than three times a week. Conclusion: For atopic dermatitis among middle school students, the importance of dietary management should be considered. This indicates that families, schools, and communities have their own responsibilities and efforts to relieve the symptoms of the atopic dermatitis.

• Journal of Physiology & Pathology in Korean Medicine
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• 제20권1호
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• pp.235-244
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• 2006

There is much confusion in the field of Rhinitis regarding how to best measure disease severity objectively, Therefore, we aimed to establish a new adequate scoring system for Rhinitis, that should be based on comparison analysis of various scoring systems. We report as follows. We researched for data relating to severity scoring systems for rhinitis in Entrez PubMed from 1995 to 2005 and in Kiss Kstudy. Results and Conclusions: Properties of severity scoring systems were validity, sensitivity of change and ease of use. The essential items of severity scoring systems were subjective symptoms. The criterion of severity were divided into subjective symptoms and complication and Quality of Life. Intensity items are nasal obstruction, rhinorrhea, sneezing, itching, Postnasal drip, nasal mucosa swelling, nasal mucosa color, complication. Subjective symptoms is difficulty of Life. The significant items of severity scoring system are nasal symptoms. The whole score does with the maximum 30 scores. As it were, we assumed nasal symptoms accounted for around 80% of each total score, with complication and difficulty of Life representing 20%.

• International Journal of Industrial Entomology and Biomaterials
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• 제6권2호
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• pp.163-169
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• 2003

Studies were conducted on the effect of pruning time, host age, conidial dispersal and weather parameters on the incidence and severity of mulberry leaf spot (Myrothecium roridum). The disease severity (%) increased with increase in shoot age irrespective of pruning date. Maximum disease severity was observed in plants pruned during first week of April and minimum disease severity in plants pruned during first week of March. Significant (P ＜ 0.01) influence of date of pruning, shoot age and their interaction was observed on severity of the disease. Apparent infection rate (r) was significantly higher during the plant growth period from day 48 to day 55. Average apparent yale was higher in plants pruned during first week of April and least in plants pruned during first week of July. The disease infection was negatively correlated to distance from the inoculum source. Leaf spot severity (%) was influenced by weather parameters. Multiple regression analysis revealed contribution of various combinations of weather parameters on the disease severity. Linear prediction model $(Y ＝ －81.803＋1.176x_2＋0.765x_3) with significant $R^2$ was developed for prediction of the disease under natural epiphytotic condition.

• Korean Journal of Agricultural and Forest Meteorology
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• 제16권2호
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• pp.114-124
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• 2014

For classifying fire damaged areas and analyzing burn severity of two large-fire areas damaged over 100 ha in 2011, three methods were employed utilized supervised classification, unsupervised classification and Normalized Difference Vegetation Index (NDVI). In this paper, the post-fire imageries of SPOT were used to compute the Maximum Likelihood (MLC), Minimum Distance (MIN), ISODATA, K-means, NDVI and to evaluate large-scale patterns of burn severity from 1 m to 5 m spatial resolutions. The result of the accuracy verification on burn severity from satellite images showed that average overall accuracy was 88.38 % and the Kappa coefficient was 0.8147. To compare the accuracy between burn severity and field survey at Uljin and Youngduk, two large fire sites were selected as study areas, and forty-four sampling plots were assigned in each study area for field survey. The burn severities of the study areas were estimated by analyzing burn severity (BS) classes from SPOT images taken one month after the occurrence of the fire. The applicability of composite burn index (CBI) was validated with a correlation analysis between field survey data and burn severity classified by SPOT5, and by their confusion matrix. The result showed that correlation between field survey data and BS by SPOT5 were closely correlated in both Uljin (r = -0.544 and p<0.01) and Youngduk (r = -0.616 and p<0.01). Thus, this result supported that the proposed burn severity analysis is an adequate method to measure burn severity of large fire areas in Korea.

• Child Health Nursing Research
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• 제22권4호
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• pp.309-316
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• 2016

Purpose: This study of secondary analysis aims to compare family management style according to severity in children with atopic dermatitis. Methods: A convenience sample of 109 Korean mothers caring for a child with atopic dermatitis, were recruited from the pediatric departments of two general hospitals in Seoul. Data were collected from November 1, 2015 to February 28, 2016. A structured self-report questionnaire was used. Data were analyzed using descriptive statistics, correlation analysis, and one-way ANOVA with IBM SPSS Version 22.0. Results: For family management style, condition management effort, family life difficulty, and view of condition impact were significantly different according to the severity of the atopic dermatitis in these children. Conclusion: The findings indicate that family management strategies to enhance care of children with atopic dermatitis as well as members of the family should include these significant variables in a family-centered approach.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 한국소성가공학회 1994년도 박판성형기술의 진보
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• pp.173-184
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• 1994

A method of obtaining deformation severity of axisymmetric shape deep-drawn products was developed. Strain states of products produced by single or multi-stage drawing were predicted by using finite element analysis. This method used minimization of potential energy between the known shape of final product and the unknown in initial blank. And that was done numerically by nonlinear finite element method. Deformation theory of plasticity was used for practical purposes. From predicted strain states of drawn parts, deformation severity was found by using forming limit diagrams.