• Journal of Music and Human Behavior
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• v.14 no.1
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• pp.41-62
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• 2017

The purpose of this study was to examine the effect that preferred music listening had on police officers' occupational stress and fatigue. The musical intervention took place over a total of six sessions from October 11 to October 19, 2016. At each session, the experimental group (n = 19) received 20 minutes of music listening with individually customized playlists that were compiled based on their preferred music list. The control group (n = 21) simply took a break from work for 20 minutes. Every participant checked his or her occupational stress and fatigue level before and after the experiment using the Occupational Stress Inventory and Subjective Symptoms of Fatigue Test. The data were then analyzed by the SPSS 22.0 statistics program. To examine the homogeneity and pretest-posttest results between groups, an independent t test was conducted, and a paired t test was used to examine the pretest-posttest results within groups. The results confirmed all hypotheses. Findings support that the use of preferred music listening is an effective way to help police officers to control their occupational stress and fatigue. This study used a convenience sample and has limited generalizability. Future research should explore interactive approaches in music therapy as well as receptive music listening for alleviating police officers' occupational stress and fatigue.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.83-96
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• 2020

Traditionally social problems had been largely left to be handled by non-profit organizations, not because of lack of interests in social causes but mostly because of lack of innovative ideas to solve them in commercially viable ways. This market failure has recently been fixed by social enterprises, which manage to provide both solutions for social issues and commercially viable business models. As a result, we have been witnessing a sudden spike of public interests in these social enterprises as well as a call for empirical investigation on social enterprises by prior studies. However, empirically investigating a social enterprise has been a challenging endeavor mostly due to the insufficient number of successful social enterprises. Answering to the call in this study, we empirically investigate Goyohan Taxi, a successful social enterprise that partners with visually impaired cabdrivers and offers a taxi service, by both longitudinally interviewing the founder and adopting in vivo observation throughout the entrepreneurial journey of Goyohan Taxi. Based on the single case study method, we find that Goyohan Taxi adopts two distinctive decision-making mechanisms, the de-escalation of commitment and the orthogonality of commercial and social goals. Although generalizability of the our finding is minimal due to the limitation of single case study method, our finding contributes to the research of social entrepreneurship by offering new avenue of research in decision-making process of social entrepreneurs.

• Environmental Analysis Health and Toxicology
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• v.29
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• pp.14.1-14.8
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• 2014

Objectives Some plants were placed in indoor locations frequented by asthmatics in order to evaluate the quality of indoor air and examine the health benefits to asthmatics. Methods The present study classified the participants into two groups: households of continuation and households of withdrawal by a quasi-experimental design. The households of continuation spent the two observation terms with indoor plants, whereas the households of withdrawal passed the former observation terms with indoor plants and went through the latter observation term without any indoor plants. Results The household of continuation showed a continual decrease in the indoor concentrations of volatile organic compounds (VOCs) during the entire observation period, but the household of withdrawal performed an increase in the indoor concentrations of VOCs, except formaldehyde and toluene during the latter observation term after the decrease during the former observation term. Peak expiratory flow rate (PEFR) increased in the households of continuation with the value of 13.9 L/min in the morning and 20.6 L/min in the evening, but decreased in the households of withdrawal with the value of -24.7 L/min in the morning and -30.2 L/min in the evening in the first experimental season. All of the households exhibited a decrease in the value of PEFR in the second experimental season. Conclusions Limitations to the generalizability of findings regarding the presence of plants indoors can be seen as a more general expression of such a benefit of human-environment relations.

• Journal of Hospice and Palliative Care
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• v.8 no.1
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• pp.45-51
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• 2005

Purpose: The purpose of this study is to examine the factors surrounding burnout of nurses caring for cancer patients. Methods: The sample of this study was conveniently selected among nurses who had hospice care experiences working in General Hospitals located in Seoul. This study was conducted by a self-administered questionnaire. Two hundred forty four questionnaires were retrieved and the response rate was 81.3%. The period of data collection was from February 25th to March 5th in 1994. Mean, standard deviation, T-test ANOVA, and multiple regression analysis were performed for statistical analysis. Results: The data showed that respondents reported to have burnout as many as 2.71 out of a 5.0 score. Bivariate analyses indicated that those who had hospice education reported to have a lower burnout than those without hospice education. Multivariate regression analyses revealed factors associated with burnout the nurses have had. They include being a Christian, higher job satisfaction, and experiences of hospice education. Hospice education reducing burnout for the nurses was observed by hierarchial multiple regression analyses, after controlling out the effect of coping methods, sociodemographic characteristics, job satisfaction, and job-related stresses on experience of burnout. This observation was not hue for physical and psychological burnout but for burnout in general and emotional one. But this was not confirmed among the nurses with type A personality. Conclusion: The findings of this study have a weakness in generalizability due to the sampling methodology used in this study. However, for the better hospice care further research with a probability sampling method are necessary.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.475-482
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• 2018

This study analyzed whether differences in individual characteristics and parental attachment affect the career maturity of middle school students in grades 1-3 in Asan, South Korea. Individual characteristics included gender, grade, grades, parental education, and economic level, while parental attachment included mutual trust, alienation, and communication. Career maturity included determinism, objectivity, readiness, independence, and assurance. Results showed there were significant differences in gender, grades, and economic level. Only gender differences affected attachment to mothers, with female students exhibiting stronger effects than male students. Grades that both the father and the mother showed differences. The economic level differed only in father's attachment. The effects of parental attachment on career maturity were found to be higher in career maturity with lower father's alienation and higher mother's mutual trust. Career maturity did not affect the assurance variable. Mother's communication affected determinism and mutual trust affected objectivity. Father's mutual trust and mother's communication affected readiness, and father's alienation showed a negative relationship. Mother's mutual trust positively affected independence. These results may be a valuable reference for understanding the behavioral psychology of adolescents and their parents. However, there is a limit to the generalizability of this study.

• Journal of Acupuncture Research
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• v.23 no.6
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• pp.239-254
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• 2006

The 3rd Japan-Korea Workshop on Acupuncture and EBM was held at Kanazawa on June $16^{th}$. From Korea team, 4 papers were presented. Dr. Hahn introduced a new approach of data analysis on series of n-of-1 trials using the Bayesian statistics. It offered important information for the future n-of-1 trials. Dr. Park clearly demonstrated the significance of various sham devices proposed and stressed the importance of research questions when we choose the control intervention in RCT. Dr. Lee reported the results of survey in Korean Medical Doctors (KMD) for their point selection and techniques to the distal and local points. Dr. Kim presented the results of face to face survey on the KMD with 28 items for acupuncture treatment on the knee OA. Finally, a draft of protocol was introduced by Dr. Kim. The title was "multi-center, a randomized, single blinded, two arms, parallel-group study to compare the effectiveness and safety of 'individualized acupuncture' and 'standardized minimal acupuncture' in Korean and Japanese patients with knee osteoarthritis (Phase IV)". From Japan team, 7 speakers presented their comments and proposals on the protocol. Dr. Takahashi introduced several issues regarding n-of-1 trials and pointed out the importance of obtaining generalizability from n-of-1 trials. Dr. Shichidou pointed the importance of research design, selection of outcome measures and reduction of biases. Dr. Itoh presented the results of point selection for the knee OA based on the literature survey. Dr. Sumiya introduced several differences between KMD and Japanese acupuncturists based on the questionnaire used in KMD survey. Dr. Furuya demonstrated a result of press tack needle and its sham device on shoulder stiffness. Dr. Yamashita introduced the results of literature survey regarding adverse events occurred by acupuncture on knee OA. Dr.Tsukayama stressed the importance of responsibility of Institutional Review Board (IRB) for the conduction of clinical trials. After several issues were discussed, the need of continued meeting for final protocol development was agreed, then the workshop was closed.

• The Journal of the Korea Contents Association
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• v.11 no.1
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• pp.357-370
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• 2011

Using strategy group theory, this thesis reviewed the status of program providers analysis and the performances it has made so far, and sought measures to improve its limitations. The constraint of program providers analysis based on existing concept of strategy group is that the strategy group was derived from the statistics, and therefore only applied the characteristics of program provider's channels to the analysis, on account of which a systematic and sophisticated classification as well as generalization of strategy or strategy group were hard to obtain. Moreover, the PP strategy variables used to be selected at the firm level and business level, and in relation with resource and competition scope. In future, more appropriate procedure should be followed to obtain objectivity in selecting variables to avoid controversy over intentionality. The measures in this thesis to improve the study of PP strategy group can be summarized as follows: firstly analysis of variables for strategy group classification should be made to single out key variables which are to be classification criteria. Secondly, variables are to be cross-checked by industry experts to increase generalizability. Thirdly, proxy variables should be sublated, and strategy group model which enables the reflection of subsistent properties of PP industry, and the cognitive perception of the executives(CEO) needs to be established. Fourthly, the concepts of mobility barrier and isolating mechanism should be applied to the classification criteria of strategy group to reveal the gap of performance between different strategy groups. Lastly, chronicle study on PP strategy group should be done to perceive the dynamic changes of PP strategy group.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.850-861
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• 2014

The purpose of this review was to evaluate the effects of simulation-based education on clinical competence and confidence in nursing students and summarize the available evidence on the simulation-based intervention. A systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA Statement was conducted. Studies published between 2005 and 2014 were reviewed using the following databases: RISS, KISS, and Google Scholar. The keywords used were nursing and either simulation or simulator. Selected studies were assessed for methodological quality using Quality Assessment Tool for Quantitative Studies. Seventeen studies were identified, including a total of 1,912 nursing students. All the 16 studies found simulation as a valid strategy on clinical competence and confidence in nursing education. This review provides updated evidence for simulation-based learning in nursing education. Further studies are needed to increase generalizability using randomized controlled trials, enough sample size, and longitudinal study design. In addition, valid measurements are needed to assess the main outcomes.

• Korean Parent-Child Health Journal
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• v.4 no.1
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• pp.35-55
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• 2001

Recently attention has been focused on the effects of early intervention, or its lack, on both normal and preterm infants. Particularly numerous studies suggest that premature infants are not necessarily understimulated but instead are subjected to inappropriate stimulation. Developmental support and sensory stimulation have become clinical opportunities in which nursing practice can impact on the neurobehavioral outcome of premature infants. Developmental care has been widely accepted and implemented in neonatal intensive care units across the country. Increasingly, attention and concern in caring for low-birth-weight infants and premature infants has led clinicians in the field to explore the effects of a complex of interventions designed to create and maintain a developmentally supportive environment; to provide age-appropriate sensory input; and to protect the infant from inappropriate, excessive and stressful stimulation. The components of developmental care include modifications of the macro-environment to reduce NICU light and sound levels, care clustering, nonnutritive sucking, and containment strategies, such as flexed positioning or swaddling. Sensory stimulation of the premature infants is presented to standardize the modification of a developmental intervention based on physiologic and behavioral cues. The most appropriate type of stimuli are those that are sensitive to infant cues. Evaluation of infant physiological and behavioral responds to specific intervention stimuli may help to identify more appropriate interventions based on infants' cues. A critical question confronting the clinician is that of determining when the evidence supporting a change in practice is sufficient to justify making that change. There are acknowledged limitations in the current studies. Many of the studies examined had small sample sizes; used nonprobability sampling; and used a phase lag design, which introduces the possibility of threats to internal validity and limits the generalizability of the results. Although many issues regarding the effects of developmental interventions remain unresolved, the available research base documents significant benefits of developmental care for LBW infants in consistent outcomes, without significant adverse effects. Particularly, although the individual studies vary somewhat in the definition of specific outcomes measured, instrumentation used, time and method of data collection, and preparaion of the care providers, in all studies, infants receiving the full protocol of individualized developmentally supportive care had improvements in some aspect of four areas of infant functioning: level of respiratory or oxygen support, the establishment of oral feeding; length of hospital stay, and infant behavioral regulation. In summary, based on the available literature, individualized developmental intervention should be incorporated into standard practice in neonatal intensive care. And this implementation needs to be coupled with ongoing research to evaluate the impact of an individualized developmental care programs on the short- and long-tenn health outcomes of LBW infants.

• Korean Journal of Biological Psychiatry
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• v.27 no.1
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• pp.18-26
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• 2020

Objectives The aim was to find effective vectorization and classification models to predict a psychiatric diagnosis from text-based medical records. Methods Electronic medical records (n = 494) of present illness were collected retrospectively in inpatient admission notes with three diagnoses of major depressive disorder, type 1 bipolar disorder, and schizophrenia. Data were split into 400 training data and 94 independent validation data. Data were vectorized by two different models such as term frequency-inverse document frequency (TF-IDF) and Doc2vec. Machine learning models for classification including stochastic gradient descent, logistic regression, support vector classification, and deep learning (DL) were applied to predict three psychiatric diagnoses. Five-fold cross-validation was used to find an effective model. Metrics such as accuracy, precision, recall, and F1-score were measured for comparison between the models. Results Five-fold cross-validation in training data showed DL model with Doc2vec was the most effective model to predict the diagnosis (accuracy = 0.87, F1-score = 0.87). However, these metrics have been reduced in independent test data set with final working DL models (accuracy = 0.79, F1-score = 0.79), while the model of logistic regression and support vector machine with Doc2vec showed slightly better performance (accuracy = 0.80, F1-score = 0.80) than the DL models with Doc2vec and others with TF-IDF. Conclusions The current results suggest that the vectorization may have more impact on the performance of classification than the machine learning model. However, data set had a number of limitations including small sample size, imbalance among the category, and its generalizability. With this regard, the need for research with multi-sites and large samples is suggested to improve the machine learning models.