• Journal of Korean Academy of Nursing
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• v.29 no.5
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• pp.1147-1154
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• 1999

The Profile of Mood States (POMS) is the most widely used self-report instrument for the measurement of affect or mood in clinical and nonclinical populations. This paper reports on the translation and testing of a Korean version of the POMS. The translation involved three steps: translation, checking agreement, and panel discussions to arrive at consensus. Then, the Korean version of the POMS was tested with a sample of 47 healthy Koreans who lived in the U.S.; they completed the instrument in the morning, at the beginning of work and in the evening, at the end of work. Internal consistencies for the total scale and subscales were high (alphas ＝ .93 and .94). Face and content validity and the cultural relevance of the Korean version of the POMS were tested through review by five bilingual Korean nursing scholars who were familiar with Korean culture and with the current literature on affect, feeling or mood in both English and Korean. The Korean version of the POMS was then compared with the Haeok Fatigue Behavior Check-list and demonstrated with concurrent validity (r ＝ .87, p ＜ .001). Construct validity was established by demonstrating significant differences between the scores on the Fatigue and Vigor subscales (p ＜ .001) at the beginning work and at the end of work.

• International Journal of Contents
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• v.9 no.1
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• pp.71-80
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• 2013

The golf industry has become the center of attention for recreational activities in the participant sport market; however, there has been little effort made to understand golf consumer and their consumption behavior using the concept of 'recreational specialization' which segments the golfers based on level of specialization in golf. The purpose of this study was to explore the differences in the relationships among perceived service quality, price of playing golf, overall customer satisfaction with the course, and a player's intention to revisit the same golf course based on the magnitude of recreation specialization in golf. Four public and two private golf courses from the southeastern state of the United States were randomly chosen from a list in a golf magazine. The 365 surveys among 417 participants were ultimately analyzed. Multiple group analysis was conducted in order to investigate differences in relationships among service quality, price, customer satisfaction, and revisit intentions between groups based on the level of recreation specialization. The key findings were 1) for more specialized golfers, satisfaction with price did not affect overall customer satisfaction or revisit intention, however, service quality significantly influenced both overall customer satisfaction and revisit intention, 2) for less specialized golfers, satisfaction with price significantly influenced overall customer satisfaction but did not affect revisit intention. Knowledge about which the determinants of satisfaction are different between more and less specialized golfers could provide a better understanding of how different marketing strategies should be implemented for different specialized levels of golfers.

• International Journal of Highway Engineering
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• v.4 no.2 s.12
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• pp.9-18
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• 2002

The main distresses that influence pavement performance are rutting, fatigue cracking, and longitudinal roughness. Thus, it is important to analyze the factors that affect these three distresses, and to develop prediction models. In this paper, three distress prediction models were developed using DataPave program which stores data from a wide variety of pavement sections In the United States. Also, sensitivity studies were conducted to evaluate how the input variables impact on the distresses. The result of sensitivity study for the prediction model of rutting showed that asphalt content, air void, and optimum moisture content of subgrade were the major factors that affect rutting. The output of sensitivity study for the prediction model of fatigue cracking revealed that asphalt consistency, asphalt content, and air void were the most influential variables. The prediction model of longitudinal roughness indicated asphalt consistency, #200 passing percent of subgrade aggregate, and asphalt content were the factors that affect longitudinal roughness.

• Journal of Biomedical Engineering Research
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• v.36 no.5
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• pp.150-154
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• 2015

Long time ultrasound scan can cause a temperature rise in human tissue and affect the physical body. This is closely connected with patients' safety. So many researchers have been studied on this matter with animals such as mammals and experimental rat, because diagnostic ultrasound has been used many types of human organ to find disease. Therefore, this study is tested on bean sprouts to search how far the tissue temperature changes because of the excessive scanning consequence from ultrasound diagnosis and frequent number of ultrasonic scanning and how much affect their growth. The United States and several European countries have restrictions for number of scanning, while South Korea does not have any limitation for using ultrasound diagnosis. Comparison was that how different condition affect its' growing. The testing group is like many pregnancy moms to have 50 minutes in B-mode and color doppler mode by linear, convex and sector probe every day for a week and the other is to scan only once during the testing period. As a result, it was confirmed that there was a significant growing difference on frequent ultrasonic scanning group compared to normal one. So the final conclusion is that there needs to have a significant limitation of ultrasound scan time and a number of inspection when having for diagnostic ultrasound and recommendation like USA and a few European countries.

• Journal of the Korean Society for information Management
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• v.26 no.4
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• pp.169-186
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• 2009

This paper examined what factors affect the immediacy index showing the average number of times an article is cited in the year it is published. Not only Seventy-one immediacy indexes for subject field biology on JCR 2008 edition were gathered, but also many characteristics of scholarly journals that may influence the indexes directly or indirectly were aggregated. Simple correlation coefficient analysis, factor analysis, and regression analysis were performed on the paper. Therefore factors such as physical volume, availability, forthcoming issue, age and language explaining 67.64% of total variance were identified. After regression analysis using these factors as independent variables, the results were statistically significant. The results showed physical volumes, the total pages of publication, have an influence upon immediacy indexes obviously, although it is expected that journal reputations may affect immediacy indexes. Generally open access journals had high immediacy indexes. High ranked journals on immediacy index were apt to be issued frequently, uploaded very often on PMC, and published in major countries including United States and United Kingdom.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.243-250
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• 2017

Since the global financial crisis in 2008, countries around the world have emphasized the activation of entrepreneurship and entrepreneurship as essential strategies for survival. In the case of developed countries, the United States, the European Union and China actively promote entrepreneurship and entrepreneurship. In Korea, on the other hand, the importance of entrepreneurship is emphasized by stagnating growth of companies and strengthening their competitiveness through convergence within companies or companies. The purpose of this study is to investigate the relationship between entrepreneurship and learning orientation in order to enhance competitiveness of Korean companies and to be the basis of management strategy for growth of convergence companies based on this. For the progress of this study, the convergence companies were targeted and the hypothesis was verified through the questionnaire survey through the statistical program. The results of the study showed that Innovation influenced learning orientation. Second, Initiative was found to affect learning orientation. Finally, it is shown that risk sensitivity does not affect learning orientation.

• Proceedings of the Korean Vacuum Society Conference
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• 2016.02a
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• pp.431-431
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• 2016

Typical Cu(In,Ga)Se2 (CIGS)-based solar cells have a buffer layer between CIGS absorber layer and transparent ZnO front electrode, which plays an important role in improving the cell performance. Among various buffer materials, chemical bath deposition (CBD)-ZnS is being steadily studied to alternative to conventional CdS and the efficiency of CBD-ZnS/CIGS solar cell shows the comparable values with that of CdS/CIGS solar cell. The intriguing thing is that reversible changes occur after exposure to illumination due to the metastable defect states in completed ZnS/CIGS solar cell, which induces an improvement of solar cell performance. Thus, it implies that the understanding of metastable defects in CBD-ZnS/CIGS solar cell is important issue. In this study, we fabricate the ITO/i-ZnO/CBD-ZnS/CIGS/Mo/SLG solar cells by controlling the NH4OH mole concentration (from 2 M to 3.5 M) of CBD-ZnS buffer layer and observe their conversion efficiency with and without light soaking for 1 hr. From the results, NH4OH mole concentration and light exposure can significantly affect the CBD-ZnS/CIGS solar cell performance. In order to investigate that which layer can contain metastable defect states to influence on solar cell performance, impedance spectroscopy and capacitance profiling technique with exposure to illumination have been applied to CBD-ZnS/CIGS solar cell. These techniques give a very useful information on the density of states within the bandgap of CIGS, free carriers density, and light-induced metastable effects. Here, we present the rearranged charge distribution after exposure to illumination and suggest the origin of the metastable defect states in CBD-ZnS/CIGS solar cell.

• Proceedings of the KSME Conference
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• 2007.05b
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• pp.2775-2780
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• 2007

The ballistic range has long been employed in a variety of engineering fields such as high-speed impact engineering, projectile aerodynamics and aeroballistics, since it can create very high-pressure states in a short time. Since the operation of the ballistic range includes many complicated processes, each should be studied in detail for the best operation of the device. One of the main processes which have a major influence in its operation is the compression of the driver gas. Most of the studies available in this field hardly discuss this process in detail and thus lack a proper understanding of its effect. In the present study, a computational analysis has been made to investigate the compression process in the pump tube of a ballistic range. The results obtained are validated with some experimental data. It is seen that the pump tube parameters and the piston mass significantly affect the compression process and the time to build up the required diaphragm rupture pressure.

• Journal of the Korean housing association
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• v.6 no.1
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• pp.1-8
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• 1995

The major purpose of this study was to determine the factors which affect elderly individuals' innovativeness toward housing. The. study analyzed data from the Southern Regional Research Project. S-194. “Barriers and incentives to affordable Housing”. The sample consisted of 1.878 respondents over age 55 who resided in 28 communties in seven southern states in the U.S. Results describing demographic and housing characteristics of respondents were summarized. The following findings were revealed from two statistical techniques (the ANOVA and Multiple Regression): 1) Those age 55 to 64. previous residents of larger communities. and those with higher incomes possess higher personal innovativeness toward housing: and 2) Age was a significant predictor to explain elderly respondents' positive attitude to adopt new or unusual housing types and technologies in housing.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.179-184
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• 2005

Recently, studying on modeling the emotion of a robot has become issued among fields of a humanoid robot and an interaction of human and robot. Especially, modeling of the motivation, the emotion, the behavior, and so on, in the robot, is hard and need to make efforts to use our originality. In this paper, new modeling using mathematical formulations to represent the emotion and the behavior selection is proposed for the software robot with virtual sensor modules. Various Points which affect six emotional states such as happy or sad are formulated as simple exponential equations with various parameters. There are several experiments with seven external sensor inputs from virtual environment and human to evaluate this modeling.