• 재활복지
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• v.20 no.1
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• pp.1-22
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• 2016

This research aimed to examine the problems in a current national emergency management system that does not consider the disabled in the face of manmade catastrophes and natural disasters, and to conduct an expert opinion survey to explore the direction of disabled-inclusive public disaster management system. As a result of the analysis, the respondents of the survey revealed a need for a designated government department for disaster management systems for the disabled and the experts preferred the Ministry of Public Safety and Security (50%) than the Ministry of Health and Welfare (37.5%). However, 12.5% of the surveyed experts perceived cooperation between the two Ministries, rather than selecting a certain ministry, as necessary to establish a disaster management system for the disabled. Additionally, the experts recognized the response period (43.8%) of the disaster management life cycle to be the most important phase. Thus, at the disaster response period, the experts suggested utilizing an emergency alarm system to effectively rescue the disabled in the face of disaster. Based on this discussion, the paper explores ways to establish a disabled-inclusive public disaster management system.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.107-117
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• 2019

In the era of SNS, many people relies on it to express their emotions about various kinds of products and services. Therefore, for the companies eagerly seeking to investigate how their products and services are perceived in the market, emotion mining tasks using dataset from SNSs become important much more than ever. Basically, emotion mining is a branch of sentiment analysis which is based on BOW (bag-of-words) and TF-IDF. However, there are few studies on the emotion mining which adopt feature selection (FS) methods to look for optimal set of features ensuring better results. In this sense, this study aims to propose FS methods to conduct emotion mining tasks more effectively with better outcomes. This study uses Twitter and SemEval2007 dataset for the sake of emotion mining experiments. We applied three FS methods such as CFS (Correlation based FS), IG (Information Gain), and ReliefF. Emotion mining results were obtained from applying the selected features to nine classifiers. When applying DT (decision tree) to Tweet dataset, accuracy increases with CFS, IG, and ReliefF methods. When applying LR (logistic regression) to SemEval2007 dataset, accuracy increases with ReliefF method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.93-102
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• 2019

This study examined the nurse's emotional exhaustion and influencing factors, and the relationship between emotional burnout and hospital nursing workload using multilevel logistic regression analysis. The study subjects were 3,083 nurses of 65 hospitals, who participated in the training conducted by the Healthcare Industry Trade Union in 2010 and responded to the questionnaire. First, 71.6% of nurses experienced emotional exhaustion, and the average score of emotional exhaustion was 33.53. Second, the 'non - nursing work experience' showed a significant effect on emotional exhaustion. Third, the 'sufficient nursing staff' variable increased the emotional exhaustion. Fourth, the nursing grades were correlated significantly with emotional exhaustion compared to those with more than four beds per nurse. Fifth, in the case of working in the internal ward, the shorter the clinical career, the higher the emotional exhaustion. In other words, higher emotional exhaustion was associated with more nursing work experience, more perceived insufficient nursing staff, more nurses per bed, the department of internal medicine, and a shorter clinical career.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.10
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• pp.407-421
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• 2019

The purpose of this study was to survey the knowledge and practice about preventive behavior for urinary tract infection in caregivers, and ultimately to provide the basic information in terms of urinary tract infection prevention. Participants in this study were caregivers who working at the 7 long-term care facilities in J-city of South Korea. Total 198 were participated in this study. Descriptive statistics, t-test, one-way ANOVA, and scheffe test were performed using SPSS Windows for 21.0 program. The correct answer rate for the knowledge about preventive behavior of urinary tract infection was 79%. The practice of urinary tract infection preventive behavior were significantly differed by the number of nurses, the number of elderly, working time and the experience, perceived importancy, necessity with education for urinary tract infection. The preventive behavior for urinary tract infection in caregivers should be supervised by health care providers. Moreover, it should be needed to educate and apply the basic education program to improve the caregivers' knowledge and practice for preventive behavior in urinary tract infection by healthcare providers. Continuous infection monitor and education by healthcare providers can be contributed the quality of elderly caring services and development of monitoring system for urinary tract infection in long-term care facilities.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.177-183
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• 2021

The purpose of this study was to investigate the double mediation effects of interpersonal relationship ability and self-efficacy in the link between family strengths and self-esteem of college students. To this end, a survey was conducted for 1 month in November 2019, targeting 340 students conveniently sampled from C city in Chungcheongbuk-do and J city in Jeollabuk-do, and the analysis was conducted using SPSS Win. 25 and SPSS PROCESS Macro. The applied statistical techniques were mean comparison analysis (t-test, One-ANOVA), correlation analysis, and PROCESS Macro model No. 6 to analyze the double mediating effect. The main findings of the study are: First, self-esteem was significantly higher in education major than in other majors. Second, as a result of correlation analysis, self-esteem showed a significant positive correlation with family strength, interpersonal relationship ability, and self-efficacy. Third, as a result of the double mediation effect analysis, interpersonal relationship ability and self-efficacy double mediated in the relationship between family strength and self-esteem. The results of this study can be used as basic data to enhance the self-esteem of college students by utilizing interpersonal relationship ability and self-efficacy.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.4
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• pp.577-584
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• 2021

Electrical energy is an essential component in present societies, which is an important basis for our technological society. In the design of new power infrastructure, it is important to consider the psychological aspects of how our culture considers and aspects its development as an integral component of the community environment. The construction of new high voltage overhead transmission lines has become a controversial issue for public policy of government due to social opposition. The members of community are concerned about how these power lines may have an impact on their lives, basically caused by their effects on health and safety. The landscape and visual impact is one of the most impact that can be easily perceived for local community. The computer 3D simulation of new landscape is illustrated by a real life use corresponding to the selection of the power line route with least observability for local community. This paper used ArcGIS(geographic information system tool) for planning, survey, basic route and detailed route, route for implementation of transmission line corridor. Also, the paper showed the map of natural environment, living environment, safety and altitude using database of power line corridor, and transmission siting model was developed by this study. The suggested landscape of computer simulation with lowest visibility on a power line zone can contribute to reducing oppositions of local community and accelerating the construction of new power lines.

• Korean Journal of Psychosomatic Medicine
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• v.28 no.2
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• pp.99-107
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• 2020

Fibromyalgia is a disorder characterized by the core symptom of chronic widespread pain, along with fatigue, sleep disturbances, mood changes, and cognitive difficulties. The etiology of fibromyalgia involves a combination of biological factors, such as genetic vulnerability, alterations in pain processing and stress response system ; psychological factors, such as anxiety, depression, anger, and perceived stress ; environmental factors, such as infections, febrile diseases, and trauma. Central sensitization, which is amplified in the process of sensory stimulation, has been emphasized as a key etiological factor, as supported by enhanced wind-up, delayed aftersensation, decreased nociceptive flexion reflex threshold and functional imaging studies. Several guidelines recommend that a multimodal approach be used to treat fibromyalgia, including both pharmacological and non-pharmacological treatments, tailored to each individual, and that clinicians should provide an intellectual framework through sufficient education and emphasis on the importance of self-management. The prevalence of mood disorders, anxiety disorders, and other psychiatric problems is 7-9 times higher in patients with fibromyalgia than in the general population ; moreover, the association between fibromyalgia and certain psychopathologies or sleep problems has also been suggested. Since psychiatric problems, with shared vulnerabilities and risk factors, interact with fibromyalgia bidirectionally and also affect the disease course, an integrated management approach is needed to determine the risk of comorbidities.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.117-127
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• 2021

The purpose of this study was to identify the relationship between social support, academic self-efficacy, and learning agility on intention of academic dropout among nursing students. Data collection was conducted online surveys from November 9 to 27, 2020. The 363 students were conveniently sampled from the school of nursing in K-do in Korea. The contents of the self-reported questionnaire included social support, academic self-efficacy, learning agility, intention of academic dropout. As a result, The score of each variables were like this: social support 4.32, academic self-efficacy 3.66, learning agility 3.40, intention of academic dropout 2.08. The factors that affecting intention of academic dropout among nursing students are academic self-efficacy, learning agility, satisfaction on major, perceived mental health status, grade in score and grade, which explained 30.4% of the variances. Therefore in order to lower the intention of dropping out of nursing students, it is considered that the development of programs considering individual characteristics and systematic support are necessary.

• 한국노년학
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• v.37 no.2
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• pp.349-368
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• 2017

The purpose of this study is to empirically structure the patterns of baby boomer retirees'consumption and their effects on depression in later life. Using the 5th wave of Korea Retirement and Income Study(KReIS) in 2013, of baby boomers born in 1955 to 1963, we analyzed those who were completely retired(n=420). The Latent Profile Analysis(LPA) classified the empirical patterns of consumption and then a multiple regression analyzed the effect of consumption patterns on depression among these baby boomer retirees. The LPA results showed that the consumption patterns consist of five groups: (1) Basic life-oriented class(26.9%), (2) Balanced consumption class(29.3%), (3) Social life-oriented class(18.3%), (4) Leisure-oriented class(18.5%), and (5) Education-oriented class(7.0%). Baby boomer retirees' depression was associated with their consumption patterns. Specifically, the basic life-oriented class showed significantly lower depression than the education-oriented class. Other correlates such as higher education, having no spouse, lower subjective health, greater limitations in physical functions, having a diagnosed disability, having fewer children, higher dissatisfaction with leisure activities, and lower self-perceived economic status were associated with higher levels of depression in this study. These findings suggest meaningful implications for gerontological policy and practice for baby boomer retirees in Korea. In light of vulnerable retirement preparation, social services specialized for baby boomers should consider financial education for revamping consumption scale beyond asset management and long-term case management of pre and post retirement cases.

• Korean Journal of Culture and Social Issue
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• v.27 no.1
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• pp.35-49
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• 2021

The purpose of this study was examine the depression among Mongolians in South Korea. We also determined the effect of acculturative stress and social support on depression. In this study, total of 200 adults over age 18 completed the BDI-II of Mongolian Version, Acculturative stress scale for international student, The Multi-dimensional Scale of Perceived Social Support. Data were analyzed by using the factor analysis, correlation analysis, t-test, and hierarchical regression analysis. We used SPSS 22.0, AMOS 22.0. We found significant difference in mean scores between groups according to socio-demographic characteristics. The level of depression was high in over 3 years immigrants group (M = 8.41, SD = 9.6954), marriage immigrants group (M = 19.1, SD = 16.7649), and female groups (M = 7.61, SD = 9.2188) than compared to reference groups. Acculturative stress and social support of Mongolian immigrants had a significant impact on depression (β = .365, p <.001; β = .- 555, p <.001). There was a moderating effect of social support on the relationship between acculturative stress and depression (β = 1.080, p <.001). The limitations and implications of the study were discussed. We conclude that this study can be used to assess the depression and the mental health of Mongolians in South Korea.