• Journal of Korean Clinical Nursing Research
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• v.20 no.1
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• pp.123-133
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• 2014

Purpose: The purpose of the study was to investigate symptom clusters experienced by patients on hemodialysis and to identify relations between symptom clusters and quality of life. Methods: Data were collected from 127 patients at 10 local hemodialysis clinics. Symptoms were measured using 10-item physical symptom checklist as well as the Hospital Anxiety depression Scale. Quality of life was measured with the Satisfaction with Life Scale. Data were analyzed using factor analysis, Pearson correlation, and stepwise multiple regression. Results: The most frequently reported symptoms included fatigue, itching, depression, numbness/tingling, and insomnia. Four distinct symptom clusters were identified: cluster 1 was comprised of dry mouth, headache, nausea (gastrointestinal); cluster 2 of decreased appetite, insomnia (basic need); cluster 3 of itching, numbness/tingling (sensory-comfort); and cluster 4 of fatigue, depression (mood-vitality). Among the clusters, the 'basic need' cluster and 'mood-vitality' cluster had a significant negative association with quality of life. The 'mood-vitality' cluster, explained 17.4% of the variance in quality of life. Conclusion: The results of the study indicate that comprehensive symptom assessment provides better symptom management for patients on hemodialysis. Further studies are needed to verify symptom clusters identified in this study.

• Korean Journal of Adult Nursing
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• v.23 no.5
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• pp.434-445
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• 2011

Purpose: This study was conducted to identify the impact of the symptom cluster of pain, fatigue, sleep disturbance, depression on the quality of life (QOL) among breast cancer patients receiving chemotherapy. Methods: One hundred and thirteen patients were recruited from five hospitals in Korea. The instruments used in this study were the fatigue, depression, sleep disturbance, pain and the quality of life scale for patients with breast cancer. The influence of the symptom cluster on patients' QOL was analyzed by using multiple regression. Results: Most patients reported a moderate level of pain, fatigue, sleep disturbance and depression. Eighty percent of patients reported three of the four symptoms. Among the four symptoms, there was no correlation between pain and sleep disturbance. Quality of life was negative correlated with the four symptoms in the cluster. Symptom cluster of pain, fatigue, and depression accounted for 51.2% of variance in QOL. Conclusion: The findings supported that there is a symptom cluster that negatively influences quality of life and needs to be addressed as we are caring for patients and are promoting quality of life.

• Journal of Bio-Environment Control
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• v.19 no.4
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• pp.392-396
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• 2010

This research focused on determining the effectiveness of cluster and/or flower thinning in highbush 'Jersey' blueberry on the yield and fruit quality. The total yield and quality of fruit were compared between thinning methods of control (no thinning), 1/3 cluster thinning, 1/3 cluster thinning + 1/2 flower thinning, 2/3 cluster thinning, and 2/3 cluster thinning + 1/2 flower thinning per each bearing shoot, respectively. Thinning strength significantly affected the yield of bearing shoot and, thus, total yield of control and 1/3 cluster thinning was higher than others. Both cluster and flower thinning, however, significantly affected the fruit growth resulting in the increase of fruit weight, length and width. Even total yield was similar between control and 1/3 cluster thinning, more larger fruit (> 1.6 g) were produced by 1/3 cluster thinning treatment, indicating that flower and/or cluster thinning contributed to the increase of individual fruit growth. Unlike fruit growth, fruit quality was less affected except total soluble solid contents. Total soluble solid level significantly increased in treatments (2/3 cluster thinning, 2/3 cluster thinning + 1/2 flower thinning) with yield decrease. No significant difference in levels of acidity and firmness of fruit was found. Results indicated that fruit growth and total yield of highbush blueberry was more influenced by the thinning strength regardless of cluster or flower than internal quality of fruit such as solid and acid levels.

• Journal of Korean Academy of Nursing Administration
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• v.18 no.3
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• pp.320-328
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• 2012

Purpose: Professional quality of life is the quality one feels in relation to their work as a helper. The purpose of this study was to describe professional quality of life among emergency nurses. Methods: A total of 15 emergency rooms were selected in three cities. Among 263 nurses working at these emergency rooms, 178 nurses consented to participate in this cross-sectional survey. Professional Quality of Life (ProQOL) Scale version 5 was used to measure compassion satisfaction, burnout and secondary traumatic stress. Cluster analysis was used to classify nurses according to professional quality of life. Results: The mean scores (SD) for compassion satisfaction, burnout, and secondary traumatic stress were 32.12 (5.45), 28.27 (4.28), and 28.20 (5.07), respectively. The result of cluster analysis according to standardized score of compassion satisfaction, burnout, and secondary traumatic stress yielded three clusters. Over 50% of participants showed low professional quality of life. Nurses who were included in a cluster representing low professional quality of life were younger, had shorter periods of nursing experience, and perceivedlower social support than other cluster. Conclusion: Education or support programs for emergency nurses are needed to enhance their professional quality of life.

• Journal of Environmental Science International
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• v.13 no.3
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• pp.233-244
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• 2004

This study was conducted to evaluate water quality in the Mankyung River using multivariate analysis. The analysis data which was surveyed from January 1996 to December 2002 in Mankyung river was aquired by the ministry of environment. Twelve water quality parameters were determined on each survey. The results were summarized as follow; Water quality in the Mankyung River could be explained up to 74.90% by four factors which were included in loading of organic matter and nutrients by the tributaries(43.28%), seasonal variation(10.40%), loading of pathogenic bacteria by domestic sewage of Gapcheon (12.41%) and internal metabolism in river(8.81%). The result of cluster analysis by station was classified into three group that has different water quality characteristics. Especially, Iksan river was appeared to considerable water quality characteristics against other station. In monthly cluster analysis, three group was classified by seasonal characteristics. Also, in yearly cluster analysis, three group was classified. It is necessary to control the pollutant loadings by domestic sewage and livestock waste for water quality management of Mankyung river.

• Journal of Korean Society for Quality Management
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• v.52 no.2
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• pp.287-301
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• 2024

Purpose: This paper aims to verify the difference in production resilience between local clusters and regions without clusters before and after a major crisis. Furthermore, this paper aims to identify the clusters' quality factors that impact clusters' shock vulnerability and resilience. Methods: Utilizing open-source data from the US Cluster Mapping platform, this paper compares regions with industrial clusters to those without using the Differences-in-Differences (DID) estimator. It considers the regions with industrial clusters as a treatment group and others as the control group, comparing the period before and after the pandemic. Additionally, the paper examines which cluster factors make a difference in economic resilience during the crisis using Regression Discontinuity Design (RDD). Results: The study finds that regions with industrial clusters show higher production resilience compared to regions without clusters. Moreover, the number of establishments, annual payrolls, and employment can have a positive impact on resilience during the pandemic shock. Conclusion: Though clusters could be vulnerable during the global crisis, industrial clusters can contribute to regional economic development and production resilience in the long-term aspect. Thus, it is required to construct a high-quality local cluster and support it during the economic crisis in the long-term aspect.

• Journal of Environmental Science International
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• v.17 no.5
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• pp.517-524
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• 2008

The purpose of this study was to investigate the characteristics of air quality using data from which obtain local air quality monitoring system for cohort study in Chungju, Korea. We analyzed the concentration data of $NO_2,\;SO_2$, and $PM_{10}$ in Chungju and industrial cities in 2006. We compared a industrial area with a cohort study area using by bicluster algorithm. In the case of $SO_2$, the rate of the cluster time was $10{\sim}60%$ and the cluster time number of two areas was similar. In the case of $NO_2$ and $PM_{10}$, the number of cluster time between a industrial area and cohort study area was clearly different.

• The International Journal of Costume Culture
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• v.5 no.1
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• pp.58-66
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• 2002

The objectives of this study are to develope sensibility image scales for Korean traditional motifs by quantitatively measuring their images and preference and to classify them into clusters. Data were collected via a questionnaire from seven hundred twenty five Korean undergraduate students. Re experimental materials were forty eight stimuli of Korean traditional motifs with different categories, interpretation types, composition types, and application objects. The instruments consisted of 7-point polar semantic differential scales of twenty three bipolar adjectives including preference. Data were analyzed by correspondence analysis, cluster analysis, ANOVA and Duncan's multiple range test. Re major results are as follows; image scales for textile patterns and dress designs using Korean traditional motifs were constructed. The axes of sensibility image scales for both textile patterns and dress designs were defined by quality level and degree of simplicity. Second, four clusters on the scale of textile patterns and two clusters on the scale dress designs were identified. Third, in the case of textile Patterns, the preferred cluster had high-quality and classical images, while the cluster that was not preferred had a complex image. In the case of dress designs, the preferred cluster had simple and high-quality images, while the cluster that was not preferred had complex and low-quality images.

• Journal of Environmental Science International
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• v.11 no.12
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• pp.1281-1289
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• 2002

This study was conducted to evaluate water quality in the Keum River using multivariate analysis. The analysis data in Keum river made use of surveyed data by the ministry of environment from January 1994 to December 2001. Thirteen water quality parameter were determined on each sample. The results was summarized as follow; Water quality in the Keum River could be explained up to 71.39% by four factors which were included in loading of organic matter and nutrients by the tributaries (32.88%), seasonal variation (16.09%), loading of pathogenic bacteria by domestic sewage of Gapcheon (13.39%) and internal metabolism in estuary as lakes(9.03%). For spatial variation of factor score, four group was classified by each factor characterization. Station 1 and 2 was influenced by Daechung dam, station 3 was affected by domestic sewage of Gapcheon, station 10~12 was affected by estuary dyke and the rest station. The result of cluster analysis by station was classified into four group that has different water quality characteristics. In monthly cluster analysis, three group was classified according to seasonal characteristic. Also, in yearly cluster analysis, three group was classified. It is necessary to control the pollutant loadings by Gapcheon inflow domestic sewage in Daejeon city for the sake of water quality management of Keum river.

• Proceedings of the IEEK Conference
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• 2004.08c
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• pp.885-889
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• 2004

Fast and high-quality document clustering algorithms play an important role in providing data exploration by organizing large amounts of information into a small number of meaningful clusters. Hierarchical clustering improves the performance of retrieval and makes that users can understand easily. For outperforming of clustering, we implemented hierarchical structure with variety and readability, by careful selection of cluster topic words and deciding the number of clusters dynamically. It is important to select topic words because hierarchical clustering structure is summarizes result of searching. We made choice of noun word as a cluster topic word. The quality of topic words is increased $33\%$ as follows. As the topic word of each cluster, the only noun word is extracted for the top-level cluster and the used topic words for the children clusters were not reused.