• Communications of the Korean Mathematical Society
• /
• v.20 no.4
• /
• pp.803-812
• /
• 2005

We construct an infinite family of closed 3-manifolds M(2m+ 1, n, k) which are identification spaces of certain polyhedra P(2m+ 1, n, k), for integers $m\;\ge\;1,\;n\;\ge\;3,\;and\;k\;\ge\;2$. We prove that they are (n / d)- fold cyclic coverings of the 3-sphere branched over certain links $L_{(m,d)}$, where d = gcd(n, k), by handle decomposition of orbifolds. This generalizes the results in [3] and [2] as a particular case m = 2.

• Proceedings of KHEA Conference
• /
• 1997.07a
• /
• pp.243-243
• /
• 1997

• Proceedings of KHEA Conference
• /
• 1997.07a
• /
• pp.273-273
• /
• 1997

• Proceedings of KHEA Conference
• /
• 1997.07a
• /
• pp.268-268
• /
• 1997

• Proceedings of KHEA Conference
• /
• 1997.07a
• /
• pp.265-265
• /
• 1997

• Proceedings of KHEA Conference
• /
• 1997.07a
• /
• pp.87-87
• /
• 1997

• Kyungpook Mathematical Journal
• /
• v.29 no.1
• /
• pp.81-86
• /
• 1989

• The Korean Journal of Soil Zoology
• /
• v.10 no.1_2
• /
• pp.16-21
• /
• 2005

This study includes the taxonomy and occurrence of ticks and mites from Jinju, Kyogsangnamdo province, Korea. Materials examined were attraccted to carrions of chicken and cattle flesh from September 2002 to December 2003. As a result, the following seven species were identified. Suborder Ixodida Family Ixodidae 1. Haemaphysalis longicorttis Neumann, 1901 Suborder Mesostigmata Family Machrochelidae 2. Macrocheles muscaedomesticae (Scopoli, 1772) 3. Holostaspella ornata (Berlese, 1904) Family Ascidae 4. Protogamasellus micus (Athias-Henriot, 1961) 5. Lasioseius sugawarai Ehara, 1964 6. Proctolaelaps sp. Suboder Prostigamta Family Erythraeidae 7. Abrolophus sp. Of these, M. muscaedomesticae and Protogamasellus micus are dominant species. Holostaspella ornate(Berlese, 1904) and Protogamasellus mica(Athias-Henriot, 1961) are new to Korean fauna.

• Journal of Korean Public Health Nursing
• /
• v.13 no.2
• /
• pp.12-25
• /
• 1999

This study examines individual determinants of hospital days in community-dwelling elders by estimating a linear structural equation model based upon Andersen's behavioral model. Data were collected through a national survey of elders in Korea in 1994. The subjects for this secondary data analysis were 1687 non-institutionalized elders aged 60 years or older. Except for the effect of age and gender on family help. the predisposing components had direct effects on the enabling components. Of the effects of the enabling components. family help had a direct effect on self-evaluated health; economic status had a direct effect on chronic disease and self-evaluated health; and access had a direct effect on chronic disease. functional health status and self-evaluated health. Of the enabling components. residence and family help directly affected hospital days. Self-evaluated health revealed the greatest direct effect on hospital days followed by functional health. Overall. the effects of the predisposing components and the enabling components on hospital days were not prominent. Since the model explained only $4\%$ of the variance in hospital days. the magnitude of the effect of the need components cannot be judged in terms of equity of distribution of health services. In particular. the effect of family help in the model reveals the importance of family support in health management of elders. The implications of these analyses for improving the proposed model of hospital days were discussed.

• Journal of East-West Nursing Research
• /
• v.21 no.1
• /
• pp.1-9
• /
• 2015

Purpose: This study was attempted to provide the foundations for the nursing intervention program that could improve hemodialysis patient's quality of life by examining influences of family support, self-efficacy and fatigue on quality of life among hemodialysis patients. Methods: We have surveyed 200 patients that aged 18 or older being diagnosed with end-stage renal disease (ESRD) and are receiving hemodialysis treatment in three general hospitals equipped more than 400 beds, one specialized dialysis clinics located in city M. Using the SPSS 17.0 windows program, gathered data were analyzed by number, percentage, mean, standard deviation, t-test, ANOVA, Duncan, Pearson's correlation coefficients and multiple regression analysis. Results: We found the factors that had great influences on patient's quality of life were family support (${\beta}=.155$, t=2.18, p=.031), fatigue (${\beta}=-.487$, t=-7.73, p<.001), and monthly income (${\beta}=.147$, t=2.36, p=.019). Explanatory power of this model was 49.6%. Conclusion: The quality of life of the hemodialysis patients on hemodialysis is affected by family support, fatigue, and monthly income. The higher monthly income, family support and the less fatigue, the more likely they can improve their quality of life.