• The Journal of the Korean life insurance medical association
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• v.29 no.1
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• pp.4-6
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• 2010

The life expectancy of HIV-infected subjects has improved dramatically since the introduction of highly-active antiretroviral therapy (HAART). Considering that patients with HIV infection are living longer, treatment plans should include those for the accompanying co-morbidities such as cardiovascular diseases, metabolic syndrome, malignancy, etc. This review discusses the impact of HAART on the epidemiology of survival and co-morbidities (malignancy and cardiovascular diseases) among HIV-infected subjects.

• Journal of Information Technology Applications and Management
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• v.23 no.2
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• pp.153-176
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• 2016

This study investigated factors affecting the use intention of podcast service users based on the unified theory of acceptance and use of technology (UTAUT). Performance expectancy, effort expectancy, social influence, facilitating condition, hedonic motivation, innovativeness, and media credibility were used as independent variables in the model. The survey data from the users of the podcast portal 'podbbang' were analyzed with Smart PLS 2.0 to test the structural equation model. The results revealed that the podcast service user's effort expectancy, facilitating condition, hedonic motivation, and media credibility have a significant influence on use intention. However, the relationship between the podcast service user's performance expectancy, social influence, innovativeness, and use intention were not identified as significant.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.7
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• pp.177-186
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• 2012

Social Network Service is a web-based service that allows the people to construct relationship among users with same interest and supports various activities such as managing personal relations and sharing information or contents. The objective of this study is analysing the influence of the innovativeness on the use intention in SNS based on the UTAUT model. This study establishes a theoretical model that includes four independent variables(performance expectancy, effort expendancy, social influence, innovativeness) and two moderating variables(gender and innovativeness). The empirical results obtained in a sample of 403 university students are followings; 1) The use intention is positively influenced by the performance expectancy, effort expendancy, social influence and innovativeness. The effort expectancy is the strongest predictor of the use intention 2) The gender has a moderating effect whileas the innovativeness has no moderating effect. For men, the stronger the effect of performance expectancy on the use intention and for women, the stronger the effect of social influence on the use intention.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.477-490
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• 2014

The purpose of this study is to investigate factors influencing continuous usage intention of mobile learning and suggest practical strategies to enhance learners' continuous usage intention of mobile learning. In this study, we hypothesized that system quality, information quality, service quality and personal innovativeness have a positive effect on effort expectancy and performance expectancy, which ultimately have a positive effect on continuous usage intention. In order to examine structural relationship among variables, we surveyed 279 students who took courses at W Cyber University in 2013 fall semester. After collecting data, we examined causal relationship among variables using Structural Equation Modeling. The results of this study are as follows: First, system quality and personal innovativeness significantly affect effort expectancy. Second, information quality, service quality and personal innovativeness significantly affect performance expectancy. Last of all, effort expectancy and performance expectancy significantly affect continuous usage intention of mobile learning.

• The Journal of Korean Association of Computer Education
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• v.18 no.4
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• pp.19-30
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• 2015

This study investigated the structural relationships among performance expectancy, effort expectancy, social influence, facilitating condition, attitude, usage intention and actual use. In order to examine structural relationships among variables, we surveyed 285 high school students in spring semester of 2014. After collecting data, we examined causal relationships among variables using structural equation modeling. The results of this study were as follows: First, performance expectancy and effort expectancy significantly affected attitude; however, social influence did not. Second, attitude affected usage intention and usage intention significantly affected actual use. Third, the indirect effect of attitude between performance expectancy, effort expectancy and usage intention were significant and the indirect effect of usage intention between attitude and actual was also significant. Finally, the moderating effect of gender and experience were not significant. Based on this study, the practical strategies to facilitate usage intention and actual use of mobile learning of high school students were suggested.

• Journal of Information Technology Applications and Management
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• v.26 no.6
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• pp.29-46
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• 2019

This study analyzed the factors influencing the technology acceptance of the general public in the drones and ARs, one of the key technologies of the industry 4.0. The theoretical basis was the extended unified theory of acceptance and use of technology model(UTAUT2), which uses performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation as factors common to both services. The price value factor was excluded considering that most ARs were free, and the perceived risk factors, including privacy, which were not in UTAUT2, were included because they are important factors for ICT technology acceptance. The hypothesis was tested by structure equation model. Social influence and hedonic motivation had a positive(+) effect on intention to use technology. On the other hand, in the case of effort expectancy, neither the AR nor the drone had a significant influence on intention to use technology. Furthermore, performance expectancy had a positive(+) effect on intention to use in AR, but no significant influence was found out in drones. On the contrary, in the case of the facilitating conditions, the influence of the drones was positive (+), but the relation of AR was not investigated. The perceived risk was tested for the negative (-) influence of use intention of AR, but no significant relationship was found out for the drones. Among the significant influencing factors, hedonic motivation was the most powerful factor in AR and drones. Theoretical and practical implications are presented based on these results.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.16 no.1
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• pp.73-82
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• 2009

Purpose: The purpose of this study was to identify the relationships among distress from drinking, alcohol abstinence self-efficacy and outcome expectancy in youths. Method: The participants in this study were 174 university students who were enrolled by convenience sampling. The data were collected from March to August, 2005. Descriptive statistics and Pearson's correlation coefficients with SPSS 12.0 were used to analyze the data. Results: There were significant differences in the physical distress from drinking according to gender, age, residence, drinking frequency and drinking capacity. There were significant differences in alcohol abstinence self-efficacy by drinking frequency and drinking capacity. There were significant differences in drinking outcome expectancy according to gender, drinking frequency and drinking capacity. The physical distress from drinking showed a significant positive correlation with alcohol abstinence self-efficacy (r=.312, p=.000) and negative correlation with drinking outcome expectancy (r=-.353, p=.000). Alcohol abstinence self-efficacy showed a significant negative correlation with drinking outcome expectancy (r=-.387, p=.000). Conclusion: There were relationships among physical distress from drinking, alcohol abstinence self-efficacy, and drinking outcome expectancy. These findings provide the basis to prevent problems of drinking by developing alcohol control program for university students.

• International Journal of Knowledge Content Development & Technology
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• v.6 no.2
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• pp.5-27
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• 2016

This research aims to explore the acceptance of Moodle as a teaching and learning tool by the faculty of the Department of Information Studies (IS) at Sultan Qaboos University (SQU) in the Sultanate of Oman. The researchers employed the Unified Theory of Acceptance and Use of Technology (UTAUT) to examine the effects of performance expectancy, effort expectancy, social influence and facilitating conditions on the behavioural intention of SQU faculty members to employ Moodle in their instruction. Data were collected by the interview method. Results showed the emergence of two faculty groups: one uses Moodle and one does not use Moodle. In group that uses Moodle, performance expectancy, effort expectancy, social influence, facilitating conditions and behavioural intention are positively related, thereby influencing the faculty members' use behavior. In addition to the aforementioned UTAUT constructs, four additional factors affect Moodle's adoption. These moderators are gender, age, experience and the voluntariness of use, amongst which gender exhibits the least influence on Moodle adoption. That is, male and female faculty generally both use the learning platform. Although some members of the group that does not use Moodle exhibit optimistic performance expectancy for technology, the overall perception in this regard for Moodle is negative. The other UTAUT constructs exert no influence on this group's adoption of the learning platform.

• The Korean Journal of Applied Statistics
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• v.29 no.2
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• pp.321-330
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• 2016

Run expectancy (RE) is the mean number of runs scored from a specific base runner/outs situation of an inning to the end of the inning. Win expectancy (WE) is the probability that a particular team will win the game at a specific game state such as half-inning, score difference, outs, and/or runners on base. In this paper, we derive RE and WE for the Korea Baseball Organization (KBO) League based on six-year data from 2007 to 2012 using a Markov chain model.

• Korea journal of population studies
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• v.9 no.2
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• pp.53-66
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• 1986

This study was carried out to determine the mortality level and it's related demographic factors in Korea since 1942. In order to clarify the changes in structure of mortality and the causes of death, the indices such as Crude Death Rate(CDR) or Life Expectancy at Birth were used. The author examined the mortality levels and major causes of death and performed the relevant demographic analysis. The followings are the summary of this study: 1. The CDR declined rapidly till 1960's. Such improvement slowed down from 1960's to mid 1970's and stabilized afterwards. It was due to the change of age composition, namely, the increase of aging population. 2. The Life Expectancy at Birth increased rapidly till mid 1960's. But elongation of the Life Expectancy slowed down after then. Especially in female, it slowed down more. 3. Changing patterns of major causes of death summarize that, till 1960's infectious diseases were major causes of death, but recently non-infectious diseases like chronic degenerative diseases became more prevalent. 4. The elongation of Life Expectancy at Birth till mid 1960's was mainly resulted by $_4{q}_1$. But the major contributing factor of the improvement in Life Expectancy at Birth in female is he reduction of $_$\infty${q}_{50}$ recently. In male, the improvement in Life Expectancy at Birth is due to the reduction of $_1{q}_0$. recently. 5. The age-sex-specific mortality rates revealed that $_n{q}_x$ declined in common throughout the period, even though there exists some variability of their ranges as age changes. Consequently, this study seems to suggest that the demographic transition in Korea occurred between late 1960's and early 1970's. In other words, the rapid change before late 1960's was eased in early 1970's. The slow change in this period caused a stabilizing pattern. Therefore, the population change is expected to be stabilized continuously.