• Journal of Digital Convergence
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• v.13 no.3
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• pp.231-239
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• 2015

The purpose of this study was to identify the factors affecting the life satisfaction of the mentally ill people in mental care facilities. The data were collected by a self-reported questionnaire form 215 mentally ill people in mental care facilities from July 1 to 28, 2014. The instruments for this study were depression, self-esteem, social support, insight and life satisfaction. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and hierarchial multiple linear regression with the SPSS/WIN 18.0 program. According to results, the significant factors influencing life satisfaction were social support (${\beta}=.518$, p=.000), go out (${\beta}=.155$, p=.001), self-esteem (${\beta}=.155$, p=.013), depression (${\beta}=-.147$, p=.015), gender (${\beta}=-.125$, p=.011). The study reveals that it is necessary to develop a program that increases social support and self-esteem and decreases depression.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2002.11a
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• pp.59-62
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• 2002

Wavelength selection and prediction algorithm for determining hematocrit are investigated. A model based on the difference in optical density induced by the pulsation of heart beat is developed by taking approximation of Twersky's theory on the assumption that the variation of blood vessel size is small during arterial pulsing[1]. A device is constructed with a five-wavelength LED array as light source. The selected wavelengths are two isobestic points and three in compensation for tissue scattering. Data are collected from 549 out-patients who are randomly grouped as calibration and prediction sets. The range of percent hematocrit was 19.3∼51.8. The ratio of the variations of optical density between systole and diastole at two different wavelengths is used as a variable. We selected several such variables that show high reproducibility among all variables. Multiple linear regression analysis is made. The relative percent error is 8% and the standard deviation is 3.67 for the calibration set. The relative % error and standard deviation of the prediction set are 8.2% and 3.69 respectively. We successfully demonstrate the possibility of non-invasive hematocrit measurement, particularly, using the wavelengths below 1000nm.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.333-344
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• 2020

This research has four specific objectives: (1) identifying factors that affect customer satisfaction with less than container load (LCL) cargo services of logistics companies in HoChiMinh City (HCMC), (2) measuring the level of impact of the factors, (3) testing the difference in satisfaction among groups of customers with different characteristics in terms of type of business and time of using LCL cargo services, and (4) proposing some management implications to improve the quality of LCL cargo services. Researchers interviewed 210 customers who enjoyed the LCL cargo service in HCMC for at least the last six months, using the convenient sampling method. SPSS 20 was used to analyze the reliability of the scale through the Cronbach's alpha coefficient, then exploratory factor analysis and multiple linear regression analysis were used. The results identified the six factors that influence positively customer satisfaction of LCL cargo services of logistics companies in HCMC, by decreasing importance: service process, image, resource, price, management, and outcomes. The results show that there is no difference in customer satisfaction with LCL cargo services by types of business as well as time of using services. The research suggests some implications for the management of logistics companies in HCMC to enhance customer satisfaction.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.875-884
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• 2020

Thailand has a rapidly growing pharmaceutical sector, which is the eighth largest in the Asia-Pacific region and one of the largest and most developed among the Association of Southeast Asian Nations (ASEAN) countries. This study examines how to provide the most appropriate approach to enhance Thailand's pharmaceutical services to dispense medicine to end consumers. The main objective is to determine the most appropriate corporate image for Thai Pharmacy Retail Stores (PRSs) for entering the ASEAN market community. An exploratory mixed-method design characterized by qualitative and quantitative phases of data collection and analysis and the linking of data from these two separate data strands was adopted to conduct an in-depth interview with pharmacists and the owner of pharmacy retail stores as well as 405 respondents who had visited a pharmacy retail store and interacted with pharmacists during the previous year. The multiple linear regression (MLR) was applied to analyze the relative influences of perceived service quality and the cultural dimension on the corporate image. Findings reveal that the perceived service quality and cultural dimension contribute 50% towards the corporate image, and the perceived service quality had more effect than cultural dimension. This study mainly focuses on PRSs in Thailand, while the findings show other analyses concerning how to successfully create and promote an effective PRS image for ASEAN markets.

• Journal of the Institute of Convergence Signal Processing
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• v.5 no.4
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• pp.281-286
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• 2004

The wear process of end mill is a so complicated process that a more reliable technique is required for the monitoring and controling the tool life and its performance. This research presents a new tool wear monitoring method based on the sound signal generated on the machining. The experiment carried out continuous-side-milling for using the high-speed steel end mill under wet condition. The sound pressure was measured at 0.5m from the cutting zone by a dynamic microphone, and was analyzed at frequency domain. The tooth passing frequency appears as a harmonics form, and end mill wear is related with the first harmonic. It can be concluded from the result that the tool wear is correlate with the intensity of the measured sound at tooth passing frequency estimation of end mill wear using sound is possible through frequency analysis at tooth passing frequency under the given circumstances.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.4
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• pp.227-235
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• 2018

The purpose of this study was to analyze the factors affecting on pre-service early childhood teachers' adoption intention of Robot-based education. For this purpose, the survey was conducted on 259 college students and the collected data was analyzed using SPSS 23.0. T-test and one-way ANOVA were used to compare the differences of adoption intention and predictive factors according to pre-service early childhood teachers' background variables. In addition, multiple linear regression analysis was conducted to analyze influence of perceived ease of use, perceived efficacy, innovative will, and social effect on adoption intention. The results were found that adoption intention and predictive factors did not show any significant difference according to background variables and that perceived ease of use and perceived efficacy influenced on pre-service early childhood teachers' adoption intention. Moreover, innovative will and social effect had an effect on perceived ease of use and perceived ease of use and social effect had an effect on perceived efficacy.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.403-412
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• 2017

The study were to identify the effect of ego-resilience, nursing professionalism, social support on department satisfaction in nursing students. Data were collected from April to May 2017 from 272 nursing students. The study tools were ego-resilience, nursing professionalism, social support, department satisfaction. The data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, multiple linear regression using SPSS/WIN 21.0 program. The result showed that the difference in department satisfaction relating to general characteristics were significant for reason for choosing a department, student activity, academic record. The correlation among ego-resilience, nursing professionalism, social support, department satisfaction were significant, and the significant factors influencing department satisfaction in nursing students were social support, nursing professionalism, ego-resilience. It is necessary to find ways to improve the department satisfaction through the activities that can enhance the social support, nursing professionalism, and ego-resilience of nursing students. This will help them adjust to college life.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.253-261
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• 2020

The purpose of this study was to investigate the mediation effects of self-esteem on the relationship between meaning in life and resilience in middle-aged adults. The data were collected from May to June 2019 by giving a questionnaire to 148 middle-aged adults between the ages of 45-64 years. The research tools were meaning in life, self-esteem, and resilience. The data were analyzed with descriptive statistics, t-test, one-way ANOVA, Pearson's correlation coefficients, and multiple linear regression using the SPSS/WIN 21.0 program. The result showed that the difference in resilience relating to general characteristics were significant age, religion, and health. There were significant positive correlations among meaning in life, self-esteem, and resilience. Self-esteem had a mediating effect on the relationship between meaning in life and resilience. Based on the findings of this study, in order to strengthen the resilience of middle-aged adults, it is necessary to develop a program that promotes self-esteem as well as meaning in life. This will help them have a healthy middle age and improve their quality of life.

• Research in Community and Public Health Nursing
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• v.24 no.1
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• pp.51-61
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• 2013

Purpose: The aim of this study is to identify effects of emotional labor, job stress and personal resources on job satisfaction in home healthcare nurses. Methods: The subjects were 149 home healthcare nurses working for home healthcare centers at 61 hospitals. Data were collected using a structured questionnaire from November 22, 2010 to February 28, 2011 and analyzed with descriptive statistics, t-test, ANOVA, Pearson's correlation, Hierarchical multiple linear regression analysis. Results: The mean score of emotional labor level was $4.23{\pm}0.95$, that of job stress level $3.39{\pm}0.57$, that of personal resources $3.38{\pm}0.36$, and that of job satisfaction $3.31{\pm}0.40$. There were positive correlations among emotional labor, job stress, personal resources and job satisfaction. After age, educational level, job position, and work period in home health care, and traffic accident were controlled, the variables, emotional labor (${\beta}$=-.198, p = .034) and personal resources (${\beta}$=.236, p = .005) turned out to account for 13.3% of the job satisfaction. But job stress was not a statistically significant predictor. Conclusion: Home healthcare nurses were needed to minimize emotional labor and revitalize personal resources in order to maintain a comparatively high level of job satisfaction. Furthermore, it is necessary to carry out systematic education and an organizational management scheme into practice.

• Journal of Environmental Health Sciences
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• v.45 no.6
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• pp.583-593
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• 2019

Objectives: The purpose of this study was to evaluate the relationship between the frequency score of wearing personal protective equipment (PPE) and concentration of urinary organophosphorus pesticide metabolites in farmers. Methods: The study was conducted in Chungcheongnam-do Province of South Korea. We collected urine samples from 308 farmers from September to December 2017 and May to July 2018. Among them, 17 farmers with urinary creatinine levels outside the normal range were excluded. Information on the frequency of wearing PPE was obtained from the farmers through face-to-face survey. Each frequency of wearing for seven types of PPE was converted into a score and expressed as a total score, which was divided into quartiles. Four types of urinary organophosphorus pesticide metabolites were analyzed using a gas chromatography mass selective detector. Multiple linear regression analysis was used to identify concentrations of urinary organophosphorus pesticide metabolites affected by the frequency of wearing PPE. Results: The average frequency score of wearing PPE was 8.0. The quartiles of frequency score of wearing PPE were divided as follows: 1st quartile (≤1), 2nd quartile (1-6), 3rd quartile (6-12), and 4th quartile (>12). Compared with subjects with a low frequency score of wearing PPE (reference), subjects with a high frequency score of wearing PPE (4th quartile) had lower concentrations of urinary diethyl phosphate (DEP) (p<0.01) and dialkyl phosphate (ΣDAP) (p<0.05), which is the sum of dimethyl phosphate (DMP), DEP, dimethyl thiophosphate (DMTP), and diethyl thiophosphate (DETP). Conclusion: Concentrations of urinary organophosphorus pesticide metabolites were associated with frequency score of wearing PPE. Particularly as the frequency score of wearing PPE increased, concentrations of urinary DMP, DEP, DETP, and ΣDAP significantly decreased. The findings of this study can contribute to the management of health effects among farmers working with pesticides.