• Research in Community and Public Health Nursing
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• v.20 no.2
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• pp.179-188
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• 2009

This study is conducted to survey and examine the relationships among anxiety about aging, perceived health status and health promoting behaviors in the elderly, and to provide basic data for health promoting interventions that would improve their successful aging. Me1hods: Data in this study was collected from 333 elderly participants living in Susan. Descriptive statistics, t-test or ANOVA with Scheffe's test, Pearson's correlation coefficients and stepwise multiple regression were used for data analysis. Results: The major findings of this study were as follows. 1) The mean score of anxiety about aging was 2.67 $\pm$ 0.30, perceived health status 2.46 $\pm$ 0.37, and health promoting behavior 2.77 $\pm$ 0.21.2) There was a positive correlation between health promoting behavior and perceived health status (r = 267, P= .000). There was a negative correlation between anxiety about aging and health promoting behavior (r = -.163, P=.003). 3) Health-promoting behavior was significantly associated with perceived health and anxiety about aging, which explained 20.9% of variance in health-promoting behavior. Conclusion: In order to promote perceived health status and to decrease anxiety about aging in the elderly, it is necessary to develop supporting interventions to decrease anxiety about aging

• Journal of Korean society of Dental Hygiene
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• v.13 no.5
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• pp.863-871
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• 2013

Objectives : The purpose of this study is to investigate factors influencing on health promotion behaviors in public health course of college students. Methods : Subjects were 325 dental hygiene students and they completed self-reported questionnaires including health promotion behaviors, self efficacy, self esteem, and general characteristics from May 13 to 24, 2013. Students were recruited by sample convenience extraction. Data were analyzed using SPSS version 18.0 for descriptive statistics, t-test, one way ANOVA and multiple regression analysis. Results : Health promotion behaviors were closely related to concern for health care (p<0.001) and concern for health related goods (p<0.01). High self-efficacy and high self-esteem showed concern for health care (p<0.001). 2. Health promotion behaviors had significantly positive correlation with self efficacy, self esteem, and perceived health condition. 3. The most powerful predictor in health promotion behaviors was self efficacy. Self efficacy, self esteem, and major, concern for health-related goods, perceived health condition accounted for 40.8% of the total variance in health promotion behaviors. Conclusions : The result revealed that undergraduate students should take exercise and diet control for their health. Self-efficacy is the most important predictor of health promotion behaviors. Health promotion behavior programs should put emphasis on exercise and diet control and can be improved by behavioral change.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.10
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• pp.4808-4824
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• 2016

Signal individual reconnaissance and identification is an extremely important research topic in non-cooperative domains such as electronic countermeasures and intelligence reconnaissance. Facing the characteristics of the complexity and changeability of current communication environment, how to realize radiation source signal individual identification under the low SNR conditions is an emphasis of research. A novel emitter individual identification method combined bi-spectrum analysis with wavelet feature is presented in this paper. It makes a feature fusion of bi-spectrum slice characteristics and energy variance characteristics of the secondary wavelet transform coefficient to identify MFSK signals under the low SNR (signal-to-noise ratios) environment. Theoretical analyses and computer simulation results show that the proposed algorithm has good recognition performance with the ability to suppress noise and interference, and reaches the recognition rate of more than 90% when the SNR is -6dB.

• The Journal of Asian Finance, Economics and Business
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• v.2 no.2
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• pp.5-12
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• 2015

The authors calculate the long-term predictability of GDP, domestic demand, investment, and net exports for Guangdong province, P.R. China from 2000 to 2013. A vector autoregressive (VAR) model with quarterly data for this period is first co-integrated then the Granger causality test is applied to empirically assess the relationships among gross domestic product (GDP), consumption, investment, and net exports. There is a strong causality effect between investment and net exports in Guangdong province. However, the variance decomposition results indicate that exports respond to foreign shocks rather than domestic ones, making their impact on the Guangdong economy to predict. Results show the stimulating effect of domestic demand on GDP is larger than the stimulating effect of net exports and much larger than even the stimulating effect of investment. The analysis suggests that there are dynamic influences with various levels of persistence between GDP, consumption, investment, and net exports. Macroeconomic policy adjustments are urgently required to expand domestic demand and thereby stimulate economic growth in Guangdong province.

• Journal of The Korean Society of Agricultural Engineers
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• v.63 no.3
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• pp.75-85
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• 2021

This study evaluated variations in the paddy rice water demand based on the continuous changing in rice transplanting period and ponding depth at the four study paddy fields, which represent typical rice producing regions in Korea. Total 7 scenarios on rice transplanting periods were applied while minimum ponding depth of 0 and 20 mm were applied in accordance with maximum ponding depth ranging from 40 mm to 100 mm with 20 mm interval. The weather data from 2013 to 2019 was also considered. The results indicated that the highest rice water demand occurred at high temperature and low rainfall region. Increased rice transplanting periods showed higher rice water demand. The rice water demand for 51 transplanting days closely matched with the actual irrigation water supply. In case of ponding depth, the results showed that the minimum ponding depth had a proportional relationship with rice water demand, while maximum ponding depth showed the contrary results. Minimum ponding depth had a greater impact on rice water demand than the maximum ponding depth. Therefore, these results suggest that increasing the rice transplanting period, which reflects the current practice is desirable for a reliable estimation of rice water demand.

• Journal of Home Health Care Nursing
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• v.26 no.1
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• pp.64-71
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• 2019

Purpose: This study investigated the factors affecting spirituality in nursing students. Method: A total of 152 nursing students participated in the study. Data collection was conducted from October to November 2018. The data were analyzed using descriptive statistics, t-tests, analysis of variance, Pearson's correlation coefficient, and multiple stepwise regression via SPSS WIN 25.0. Results: The mean scores for empathy, gratitude, positive affect, negative affect, and spirituality were all average. However, there were significant differences in mean scores for spirituality according to satisfaction with major (F=5.88, p=.003), study grade (F=10.17, p<.001). Spirituality was found to be correlated with fantasy (r=.17, p<.001), empathic concern (r=.41, p<.001), perspective taking (r=.42, p<.001), personal distress (r=-.31, p<.001), gratitude (r=.65, p<.001), positive affect (r=.52, p<.001), and negative affect (r=-.30, p<.001). Significant predictors of spirituality included gratitude (${\beta}=.38$, p<.001), study grade (${\beta}=.34$, p=.009), positive affect (${\beta}=.29$, p<.001), and perspective taking (${\beta}=.16$, p=0.37), one of the sub-dimensions of empathy. Conclusion: To improve spirituality among nursing students, nursing educators should develop educational intervention programs to promote gratitude, study grades, positive affect, and perspective taking.

• Corrosion Science and Technology
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• v.20 no.2
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• pp.52-61
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• 2021

This study using experimental design and linear regression technique was implemented in order to predict the pitting potential of stainless steel in marine environments, with the target materials being AL-6XN and STS 316L. The various variables (inputs) which affect stainless steel's pitting potential included the pitting resistance equivalent number (PRNE), temperature, pH, Cl^- concentration, sulfate levels, and nitrate levels. Among them, significant factors affecting pitting potential were chosen through an experimental design method (screening design, full factor design, analysis of variance). The potentiodynamic polarization test was performed based on the experimental design, including significant factor levels. From these testing methods, a total 32 polarization curves were obtained, which were used as training data for the linear regression model. As a result of the model's validation, it showed an acceptable prediction performance, which was statistically significant within the 95% confidence level. The linear regression model based on the full factorial design and ANOVA also showed a high confidence level in the prediction of pitting potential. This study confirmed the possibility to predict the pitting potential of stainless steel according to various variables used with experimental linear regression design.

• Safety and Health at Work
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• v.12 no.2
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• pp.230-237
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• 2021

Background: Noise-induced hearing loss is a well-known occupational disease that affects many fish harvesters from many fisheries worldwide, whose risk factor is prolonged exposure to hazardous noise levels. To date, academic research activities and regulatory bodies have not provided any comparative analysis among the existing methods to assess noise exposure levels of fish harvesters. This paper provides a comparison of four relevant assessment methods of noise exposure, examining the results of a measurement campaign performed onboard small fishing vessels from Newfoundland and Labrador. Methods: We traveled onboard 11 vessels engaged in multiple fisheries from Newfoundland and Labrador and performed extensive noise exposure surveys using the simplified International Maritime Organization method, the full-day measurement method, and the two methods provided by ISO 9612:2009, the task-based method and job-based method (JBM). Results: The results showed that the four methods yield similar values when the noise components are dominated by the engine and auxiliaries (steady-state sources); when noise components are dominated by the fishing gear, task-based method and the simplified International Maritime Organization method estimates are less accurate than JBM, using full-day measurements as baseline. Conclusion: The JBM better assesses noise exposure in small-scale fisheries, where noise exposure has significant variance and uncertainties on the exposure levels are higher.

• Journal of Korean Academy of Nursing
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• v.51 no.1
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• pp.80-91
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• 2021

Purpose: The purpose of this study was to identify factors influencing health behavior compliance in adult patients with moyamoya. Methods: A descriptive correlation study was conducted to investigate the factors influencing health behavior compliance. Participants were 142 adult patients diagnosed with moyamoya disease who were hospitalized or visited an outpatient clinic in the Gyeonggi province. Data were collected from December 16, 2019 to April 14, 2020 using self-report questionnaires and analyzed using the IBM SPSS 26.0 Win software. Results: The hierarchical multiple regression analysis demonstrated that self-efficacy (β = .60, p < .001), social support (β = .13, p = .032), and age (β = .21, p = .005) affected the health behavior of adults with moyamoya disease. These 3 variables explained 62.0% of the variance of health behavior compliance, and the most influential factor was self-efficacy. Conclusion: Based on the results of this study, it concludes that nursing interventions should be focused on self-efficacy and social support to improve health behavior compliance with adult patients diagnosed with moyamoya disease. For that, various strategies to enhance self-efficacy and social support should be developed and actively applied in the clinical setting for adult moyamoya patients.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.4
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• pp.53-68
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• 2008

We study on the practical privacy-preserving techniques by matrix-based randomization approach. We clearly examine the relationship between the two parameters associated with the measure of privacy breach and the condition number of matrix in order to achieve the optimal transition matrix. We propose a simple formula for efficiently calculating the inverse of transition matrix which are needed in the re-construction process of random substitution algorithm, and deduce some useful connections among standard error and another parameters by obtaining condition numbers according to norms of matrix and the expectation and variance of the transformed data. Moreover we give some experimental results about our theoretical expressions by implementing random substitution algorithm.