• Journal of People, Plants, and Environment
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• v.22 no.5
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• pp.489-503
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• 2019

This study aimed to analyze the preference of subfertile women for forest therapy programs depending on their emotional characteristics, and to provide basic data for the development of forest therapy programs in order to promote the mental health of subfertile women. Among the surveyed emotional characteristics of subfertile women, the level of emotions including pressure to become pregnant, impatience and frustration were high, while that of emotions including anxiety and fear; depression, hopelessness, helplessness, loneliness and sadness tended to be medium. The level of emotions including shame and guilt tended to be low. The top six forest therapy programs preferred by subfertile women include a deep breath of air /phytoncide, forest bathing/wind bathing/sun bathing, self-esteem recovery program, eating organic foods, low body bathing/foot bathing/hot spring bathing, and breathing/breathing exercises. Subfertile women highly pressured to become pregnant showed significant differences in the preference of the self-esteem recovery program, Domar 's relaxation therapy, NLP therapy, and sleeping in the woods, while women with anxiety and fear showed significant differences in the preference of walking barefoot in forests, mountain walking in silence, listening to water sounds/ hand and foot soak, self-esteem recovery program, NLP therapy, cognitive behavior therapy, aroma therapy, integrated art therapy in forests, forest bathing/wind bathing/sunbathing, a deep breath of air/phytoncide, and observing stars. Women with depression, hopelessness, helplessness, loneliness, and sadness showed significant differences in eating organic foods, self-esteem recovery program, counseling/coaching, and cognitive behavior therapy. The significance of this study was to analyze the preference of subfertile women, as subjects, for forest therapy program. The results of this study are expected to be used as basis data for developing forest therapy programs for subfertile women.

• Women's Health Nursing
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• v.28 no.2
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• pp.154-164
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• 2022

Purpose: This study aimed to describe clinical nurses' lived experiences of workplace verbal violence through qualitative research using descriptive phenomenology. Methods: Six female Korean nurses who had less than 5 years of clinical experience and had experienced verbal violence in the workplace within the past year participated in the study. Data were collected through one-on-one in-depth interviews with the participants and analyzed using Colaizzi's phenomenological method. Results: A total of 27 codes, eight themes, and four theme clusters were derived from the participants' statements. The four theme clusters of the clinical nurses' experiences of verbal violence in the workplace were as follows: "tip of the iceberg," "beyond me and my control," "fear and resignation," and "personal burden." The participants recognized that nurses experienced verbal violence daily, and that the causes of and responses to verbal violence were determined by external situational factors rather than nurses' individual problems. This suggests that nurses felt that they had no choice but to personally cope with verbal violence and bear the consequences due to systematic indifference and silence about verbal violence experienced by clinical nurses. Conclusion: The findings show that verbal violence was pervasive and unmerited, yet often endured at the cost of a personal burden to nurses. A clear definition of verbal violence and education for employees are needed, and a reporting system should be established to report all forms of violence regardless of the severity of the incident.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.63-88
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• 2019

The goal of this paper is to investigate changes in North Korea's domestic and foreign policies through automated text analysis over North Korea represented in South Korean mass media. Based on that data, we then analyze the status of text mining research, using a text mining technique to find the topics, methods, and trends of text mining research. We also investigate the characteristics and method of analysis of the text mining techniques, confirmed by analysis of the data. In this study, R program was used to apply the text mining technique. R program is free software for statistical computing and graphics. Also, Text mining methods allow to highlight the most frequently used keywords in a paragraph of texts. One can create a word cloud, also referred as text cloud or tag cloud. This study proposes a procedure to find meaningful tendencies based on a combination of word cloud, and co-occurrence networks. This study aims to more objectively explore the images of North Korea represented in South Korean newspapers by quantitatively reviewing the patterns of language use related to North Korea from 2016. 11. 1 to 2019. 5. 23 newspaper big data. In this study, we divided into three periods considering recent inter - Korean relations. Before January 1, 2018, it was set as a Before Phase of Peace Building. From January 1, 2018 to February 24, 2019, we have set up a Peace Building Phase. The New Year's message of Kim Jong-un and the Olympics of Pyeong Chang formed an atmosphere of peace on the Korean peninsula. After the Hanoi Pease summit, the third period was the silence of the relationship between North Korea and the United States. Therefore, it was called Depression Phase of Peace Building. This study analyzes news articles related to North Korea of the Korea Press Foundation database(www.bigkinds.or.kr) through text mining, to investigate characteristics of the Kim Jong-un regime's South Korea policy and unification discourse. The main results of this study show that trends in the North Korean national policy agenda can be discovered based on clustering and visualization algorithms. In particular, it examines the changes in the international circumstances, domestic conflicts, the living conditions of North Korea, the South's Aid project for the North, the conflicts of the two Koreas, North Korean nuclear issue, and the North Korean refugee problem through the co-occurrence word analysis. It also offers an analysis of South Korean mentality toward North Korea in terms of the semantic prosody. In the Before Phase of Peace Building, the results of the analysis showed the order of 'Missiles', 'North Korea Nuclear', 'Diplomacy', 'Unification', and ' South-North Korean'. The results of Peace Building Phase are extracted the order of 'Panmunjom', 'Unification', 'North Korea Nuclear', 'Diplomacy', and 'Military'. The results of Depression Phase of Peace Building derived the order of 'North Korea Nuclear', 'North and South Korea', 'Missile', 'State Department', and 'International'. There are 16 words adopted in all three periods. The order is as follows: 'missile', 'North Korea Nuclear', 'Diplomacy', 'Unification', 'North and South Korea', 'Military', 'Kaesong Industrial Complex', 'Defense', 'Sanctions', 'Denuclearization', 'Peace', 'Exchange and Cooperation', and 'South Korea'. We expect that the results of this study will contribute to analyze the trends of news content of North Korea associated with North Korea's provocations. And future research on North Korean trends will be conducted based on the results of this study. We will continue to study the model development for North Korea risk measurement that can anticipate and respond to North Korea's behavior in advance. We expect that the text mining analysis method and the scientific data analysis technique will be applied to North Korea and unification research field. Through these academic studies, I hope to see a lot of studies that make important contributions to the nation.