• Korean Journal of Health Education and Promotion
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• v.30 no.5
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• pp.177-188
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• 2013

Objectives: The purpose of this study was to evaluate the feeling of distance of social work practitioners for people living with HIV/AIDS(PLWHA) and to identify related factors. Methods: A total of 409 data were collected as convenience sampling from social welfare service providers. Independent variables were socio-demographic data, AIDS related knowledge, authoritarian personality, prejudice for minority(handicapped, women, foreigner, old aged), cultural competency. Data were analyzed by t-test, ANOVA, multiple regression analysis were conducted. Results: Multiple regression model was developed by integrating the significant variables from univariate analysis. Significant factors of physical distance were social prejudice against handicapped, knowledge about AIDS and critical awareness/knowledge about other culture. And significant factors of social distance were social prejudice against handicapped, knowledge about AIDS, authoritarian personality, critical awareness/knowledge about other culture. At last, we found that social prejudice against handicapped was the biggest factor for physical distance and authoritarian personality was the biggest factor for social distance of social work practitioners. Conclusions: The area of social services for PLWHA have to be expanded. Physical and social distance of professionals to provide services to PLWHA and factors affecting it is necessary to continue research. In addition, on the basis of these findings, specific training programs is need to be developed.

• Journal of the Ergonomics Society of Korea
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• v.32 no.5
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• pp.475-480
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• 2013

Objective: In this study, virtual reality was adopted to consider ergonomic factors in yacht design. Virtual human which is the same actual human was created in virtual environment using Digital Human Modeling which has been used in the manufacturing communities to design better workplaces and maximize the safety of workers. Background: During the past 40 years yachting has expanded from being, generally speaking, a minority sport - too expensive for the large majority of people - into a major recreational activity practiced by millions all over the world. Many new yacht designs have appeared and number of professional, as well as amateur designers has increased steadily. But they had not considered ergonomic factors in yacht design. Method: Worker's posture, traffic line and workload had been analyzed in sailing yacht. After the caution level was evaluated, we pointed out clues which had high workload and interference. To reduce workload, we applied ergonomic principles for improving working conditions and environments in Digital Human Model. Results: We found the space problems and workload of postures. Conclusion: (1) Unnatural posture of crews was sustained. (2) Workload that occurs in the human body was overloaded. (3) Crew's work space was very narrow. Application: This study will be applied the new ergonomic design of yacht.

• The Korean Journal of Applied Statistics
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• v.29 no.4
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• pp.699-706
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• 2016

Outlier detection methods without performing a test often do not succeed in detecting multiple outliers because they are structurally vulnerable to a masking effect or a swamping effect. This paper considers testing procedures supplemented to a clustering-based method of identifying the group with a minority of the observations as outliers. One of general steps is performing a variety of t-test on individual outlier-candidates. This paper proposes a sequential procedure for searching for outliers by changing cutoff values on a cluster tree and performing a test on a set of outlier-candidates. The proposed method is illustrated and compared to existing methods by an example and Monte Carlo studies.

• East Asian Economic Review
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• v.27 no.3
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• pp.243-269
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• 2023

The multidimensional poverty index is an indicator system established for defining and evaluating poverty, to understand poverty in dimensions beyond just monetary scarcity. Based on income, education, health, living standards, and social dimensions, this article measures and analyzes the level of multidimensional poverty in Xinjiang using the AlkireFoster method, with cross-sectional data obtained from a 2022 survey. Probit model is constructed for regression analysis, further considering the impact of education on enhancing feasible capabilities and alleviating multidimensional poverty at the post-poverty alleviation era. The data shows that many people still face significant challenges from the perspective of multidimensional poverty; the decomposition results of each dimension show that education contributes more to the multidimensional poverty; the regression analysis results show that the higher the education level, the lower the multidimensional poverty; heterogeneity analysis revealed that the inhibitory effect of education on multidimensional poverty is greater for females than males, and the poverty reduction effect of education mainly concentrates on middle-aged and older individuals. This article is meaningful for exploring strategies to alleviate multidimensional poverty in ethnic minority regions in frontier areas in the new era, accelerating regional economic development, and achieving shared prosperity.

• Korean Journal of Social Welfare
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• v.63 no.1
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• pp.217-239
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• 2011

This study explores legislation process of Disability Discrimination Act in S. Korea focusing on social exclusion and participation through social action approach. I can find a thing in common in that both of disability and social exclusion are concerned with the relationship between majority and minority. Therefore we need to lay emphasis on the social model of disability to overcome social exclusion. When we explore the legislation process of Disability Discrimination Act, we recognize that the legislation is mainly due to a great deal of effort of the disabled, especially the Disability Discrimination Act Solidarity of Korea. So researchers need to focus on the social action approach to overcome social exclusion. In addition social workers have to analyze the macrosystem as well as microsystem to overcome the social exclusion of the disabled. Besides the course of macro practice should include the community organization skills focused on the social action approach.

• Analyses & Alternatives
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• v.4 no.2
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• pp.103-132
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• 2020

The purpose of this study is to observe whether intergenerational differences exist in support among major Korean political parties and, if so, how they exist, based on the results of the survey conducted nationwide. To achieve the purpose of the study, a questionnaire was prepared based on conjoint analysis, and the collected data was analyzed by applying a random parameter logit model. The main results of model analysis are summarized as follows. First, among the policy variables, statistically significant results were observed in the generation of 20s and 30s for the education variable. It was found that both 20s and 30s aimed for equal education at a higher level than other generations. Especially, the highest intensity aim for equal education culture was observed in the 20s. Second, the coefficients of major political parties were observed with a high level of statistical significance. This appears to be a result suggesting that voters decide on their voting behavior through thorough policy comparisons in addition to comprehensive consideration on various current issues. Third, a clear support for conservative parties was observed in the generation of 20s. A clear and intense distribution of preference for political parties classified as conservatives was observed in the 20s generation, which can be said to be mainly college students. This seems to be a profound founding related to the issue of "conservatization of the 20s," which has recently become a hot topic in Korean society. Fourth, a high level of support for progressive parties was observed in the 30s and 40s. The Justice Party can be classified as a minority party in the National Assembly House as of January 2019. Nevertheless, it was maintained at a relatively high level in national recognition, and it is presumed that the background was high level of support from the 30s and 40s. Fifth, a large level of standard deviation was observed in the preference for conservative parties in the 50s. This means that some respondents who are in their 50s or older strongly support the Liberty Korea Party, and some respondents in the same generation strongly disapprove it. Due to this countervailing power, it seems that the average support level for the Liberal Korean Party is low in the generations of 50s and older.?

• Korean Journal of Culture and Social Issue
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• v.29 no.1
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• pp.25-51
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• 2023

The purpose of the study was to validate the Korean version of the Heterophobia Scale for Gay Male (HGM). Heterophobia refers to the rejection, fear, and avoidance that sexual minorities feel against of heterosexuals. The three subscales of HGM assesses the unease/avoidance, disconnectedness, and expected rejection fromwith heterosexual male. To validate the Korean HGM, item translation, item analysis, and exploratory factor analysis were conducted. From the Using exploratory factor analysis of the Korean version of the HGM(N=213), per 13 items, a 3-factor model consisting of 13 items wereas determined. The Cconfirmatory factor analysis supported the goodness of fit of the 3-factor structure of the K-HGM (N=153) and showed adequate model fit, K-HGM showed adequate the internal consistency, convergent validity, discriminant validity and Criterion validity was good with other related scales (K-SOMS, K-MISS-G, SDS-9, and RS). In conclusion, the K-HGM is a valid measure of heterophobia for gay male within the Korean population. Based on the findings, implications, practical use, limitations, and suggestions for future study are discussed.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.21
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• pp.9453-9458
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• 2014

Background: Breast cancer is the second leading cause of cancer death for women in the United States. Differences in survival of breast cancer have been noted among racial and ethnic groups, but the reasons for these disparities remain unclear. This study presents the characteristics and the survival curve of two racial and ethnic groups and evaluates the effects of race on survival times by measuring the lifetime data-based half-normal model. Materials and Methods: The distributions among racial and ethnic groups are compared using female breast cancer patients from nine states in the country all taken from the National Cancer Institute's Surveillance, Epidemiology, and End Results cancer registry. The main end points observed are: age at diagnosis, survival time in months, and marital status. The right skewed half-normal statistical probability model is used to show the differences in the survival times between black Hispanic (BH) and black non-Hispanic (BNH) female breast cancer patients. The Kaplan-Meier and Cox proportional hazard ratio are used to estimate and compare the relative risk of death in two minority groups, BH and BNH. Results: A probability random sample method was used to select representative samples from BNH and BH female breast cancer patients, who were diagnosed during the years of 1973-2009 in the United States. The sample contained 1,000 BNH and 298 BH female breast cancer patients. The median age at diagnosis was 57.75 years among BNH and 54.11 years among BH. The results of the half-normal model showed that the survival times formed positive skewed models with higher variability in BNH compared with BH. The Kaplan-Meir estimate was used to plot the survival curves for cancer patients; this test was positively skewed. The Kaplan-Meier and Cox proportional hazard ratio for survival analysis showed that BNH had a significantly longer survival time as compared to BH which is consistent with the results of the half-normal model. Conclusions: The findings with the proposed model strategy will assist in the healthcare field to measure future outcomes for BH and BNH, given their past history and conditions. These findings may provide an enhanced and improved outlook for the diagnosis and treatment of breast cancer patients in the United States.

• The Journal of Bigdata
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• v.3 no.2
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• pp.71-78
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• 2018

The study is based on machine learning techniques to increase the accuracy of the forest fire predictive model. It used 14 years of data from 2003 to 2016 in Gang-won-do where forest fire were the most frequent. To reduce weather data errors, Gang-won-do was divided into nine areas and weather data from each region was used. However, dividing the forest fire forecast model into nine zones would make a large difference between the date of occurrence and the date of not occurring. Imbalance issues can degrade model performance. To address this, several sampling methods were applied. To increase the accuracy of the model, five indices in the Canadian Frost Fire Weather Index (FWI) were used as derived variable. The modeling method used statistical methods for logistic regression and machine learning methods for random forest and xgboost. The selection criteria for each zone's final model were set in consideration of accuracy, sensitivity and specificity, and the prediction of the nine zones resulted in 80 of the 104 fires that occurred, and 7426 of the 9758 non-fires. Overall accuracy was 76.1%.

• Journal of Korean Public Health Nursing
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• v.29 no.1
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• pp.53-66
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• 2015

Purpose: This study was considered in order to identify the factors affecting healthcare utilization by Asian immigrants in the United States. Methods: From February to April 2011, a descriptive survey study was conducted in a convenience sample of 250 Korean and Asian Indian immigrants aged between 40 and 64 in the Triangle area of North Carolina. An author-developed instrument was used to assess predisposing, enabling, and need factors according to Anderson's Behavioral Model of Health Services. Utilization Data analysis was performed by $X^2$-test, t-test, and binary logistic regression. Results: Participants' healthcare services experiences were significantly different when they had a longer stay in the U.S., had been employed, had higher income, were Asian Indians, had better English-speaking skills, better health status, more knowledge of health system and health insurance, had higher satisfaction with the healthcare system, and when they were taking prescribed medications and having health insurance. The strongest association with experience of healthcare services was having health insurance with an adjusted odds ratio (OR) of 15.37 (95% CI 4.95-47.71, p<.001) and self-reported English proficiency (OR=1.99, 95% CI 1.00-3.96, p=.05). Conclusion: Intervention strategies to increase accessibility to healthcare services should focus on these significant predictors.