• Journal of Korean Academy of Nursing Administration
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• v.15 no.3
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• pp.372-381
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• 2009

Purpose: The purpose of this study was to investigate how job overload, relationship with senior perceived by nurses and emotional exhaust related to turnover and explored the mediating role of emotional exhaust in job characteristics-turnover relationship. Method: Participants were 280 nurses from around the greater metropolitan area of Seoul, completed questionnaires. Correlation and Structural Equation Models were employed to investigate the various factors associated with this. Result: Job overload related positively to emotional exhaust and turnover and the quality of relationship with senior related negatively to emotional exhaust but positively to turnover. These findings suggest the important role played by job conditions in preventing nurses' emotional burnout and the intention to quit their jobs. Furthermore, emotional burnout mediated the effects of these job characteristics on nurses' turnover. Conclusion: It is suggested that the benefit of job conditions and emotional burnout should be taken into consideration when developing strategies to improve nurse retention and. social supporting programs for nurses more generally.

• Journal of Korean Academy of Nursing
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• v.34 no.5
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• pp.859-868
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• 2004

Purpose: The purpose of this study was to identify experiences of nurses who served as preceptors in clinical education for senior student nurses in a college of medicine in Wonju city. Method: Data was collected from 20 preceptors instructing senior student nurses in 2001 using a self-completion questionnaire. To analyze data, content analysis was done using an analysis scheme developed by the investigators. Result: The analysis scheme consisted of 7 categories and 25 subcategories. 135 significant statements were analyzed and categorized. Preceptors indicated that they were role models, socialization facilitators and educators while instructing students in the clinical practicum. In performing the preceptors' role, preceptors reported that their most important change was self-enhancement, and positive experience was a constructive work atmosphere. The most important factor facilitating the preceptors' role performance was support from head nurses, and the most discouraging factor was work loads. Conclusion: This study suggests that interventions for encouragement and socialization of preceptors should be developed to promote clinical education for senior student nurses.

• JSTS:Journal of Semiconductor Technology and Science
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• v.10 no.1
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• pp.20-27
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• 2010

Modeling is essential to simulate the operation of integrated circuit (IC) before its fabrication. Seeing a large number of Metal-Oxide-Silicon Field-Effect-Transistor (MOSFET) models available, it has become important to understand them and compare them for their pros and cons. The task becomes equally difficult when the complexity of these models becomes very high. The paper reviews the mainstream models with their physical relevance and their comparisons. Major short-channel and quantum effects in the models are outlined. Emphasis is set upon the latest compact models like BSIM, MOS Models 9/11, EKV, SP etc.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.2
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• pp.118-127
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• 2009

This study tries to develop model in order to assess personal factors of senior traffic accidents that are widely recognized as one of the social problems. For the current practice. it gathers data (Simulation & Questionnaire Survey) of KOTSA and conducts Poisson and Negative Binomial Regression Analysis to develop traffic accident severity model. The results show that elderly drivers' accidents are mainly affected by attentiveness selection, velocity prediction ability and attentiveness distribution ability in a positive(+) way. Second, non-senior drivers' accidents are also positively(+) influenced by attentiveness selection, velocity prediction, distance perception, attentiveness distribution ability and attentiveness diversion ability. Therefore, influencing factors of senior and non-senior drivers to vehicle accidents are different. This eventually poses a indication that preliminary education for car accident prevention should be implemented based up[n the distinction between senior drivers and non-senior drivers.

• Journal of Korean Neurosurgical Society
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• v.67 no.2
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• pp.166-176
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• 2024

Objective : Three-dimensional (3D) printing in vascular surgery is trending and is useful for the visualisation of intracranial aneurysms for both surgeons and trainees. The 3D models give the surgeon time to practice before hand and plan the surgery accordingly. The aim of this study was to examine the effect of preoperative planning with 3D printing models of aneurysms in terms of surgical time and patient outcomes. Methods : Forty patients were prospectively enrolled in this study and divided into two groups : groups I and II. In group I, only the angiograms were studied before surgery. Solid 3D modelling was performed only for group II before the operation and was studied accordingly. All surgeries were performed by the same senior vascular neurosurgeon. Demographic data, surgical data, both preoperative and postoperative modified Rankin scale (mRS) scores, and Glasgow outcome scores (GOS) were evaluated. Results : The average time of surgery was shorter in group II, and the difference was statistically significant between the two groups (p<0.001). However, no major differences were found for the GOS, hospitalisation time, or mRS. Conclusion : This study is the first prospective study of the utility of 3D aneurysm models. We show that 3D models are useful in surgery preparation. In the near future, these models will be used widely to educate trainees and pre-plan surgical options for senior surgeons.

• Journal of the Korean Statistical Society
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• v.30 no.4
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• pp.551-561
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• 2001

This paper deals with the asymptotic properties for statistical inferences of the parameters in nonlinear regression models. As an optimal criterion for robust estimators of the regression parameters, the regression quantile method is proposed. This paper defines the regression quintile estimators in the nonlinear models and provides simple and practical sufficient conditions for the asymptotic normality of the proposed estimators when the parameter space is compact. The efficiency of the proposed estimator is especially well compared with least squares estimator, least absolute deviation estimator under asymmetric error distribution.

• Research in Community and Public Health Nursing
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• v.29 no.3
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• pp.322-334
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• 2018

Purpose: The purpose of this study is to identify factors related to compliance with respiratory infection preventive behaviors including hand washing, cough etiquette, and oral hygiene of older adults. Methods: A cross-sectional study was conducted with a convenience sample of 100 older adults (mean age: $76.11{\pm}6.35$ years, female: 86.0%). Data were collected from a community senior center through face to face interviews by using instruments including measuring knowledge, perceived threat, self-efficacy, compliance with respiratory infection preventive behaviors. Results: The mean score of knowledge was 7.52 out of 13 in total. The compliance with hand washing with soap was 6.0% for 8 or more times per day. Among the participants, 12.0% adhered to the cough etiquette. Sixty-two older adults (62.0%) didn't use interdental brushes or floss at all. The stepwise linear regression indicated that age and self-efficacy for respiratory infection preventive behaviors were significant factors and explained 24.0% of the compliance with hand washing and the cough etiquette. Education level, cancer diagnosis, and self-efficacy for respiratory infection preventive behaviors were significant predictors of oral hygiene. The factor with the greatest effect was self-efficacy in the two models. Conclusion: The findings suggest that it is necessary to improve compliance with respiratory infection preventive behaviors among older adults using senior centers. In order to enhance the compliance, it is necessary to develop nursing programs based on the self-efficacy for respiratory infection preventive behaviors in the senior centers.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.25-31
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• 2021

Moving toward an aged society, traffic accidents involving elderly drivers have also attracted broader public attention. A rapid increase of senior involvement in crashes calls for developing appropriate crash-severity prediction models specific to senior drivers. In that regard, this study leverages machine learning (ML) algorithms so as to predict the severity of vehicle-pedestrian collisions induced by elderly drivers. Specifically, four ML algorithms (i.e., Logistic model, K-nearest Neighbor (KNN), Random Forest (RF), and Support Vector Machine (SVM)) have been developed and compared. Our results show that Logistic model and SVM have outperformed their rivals in terms of the overall prediction accuracy, while precision measure exhibits in favor of RF. We also clarify that driver education and technology development would be effective countermeasures against severity risks of senior driver-induced collisions. These allow us to support informed decision making for policymakers to enhance public safety.

• Journal of The Korean Association For Science Education
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• v.32 no.8
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• pp.1281-1294
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• 2012

This paper describes the types of models that biology majors use and how they go about making their models in learning key concepts in biology such as the cell membrane, cytoskeleton and cell structure. Initially, a total of 44 biology students from all year levels enrolled in the second semester of calendar year 2008-2009 were asked to make their respective models of the cell membrane, cytoskeleton and cell structure. They were also asked to answer an open-ended questionnaire. Of the 44, only 20 (five from each year level) were randomly selected for a one-on-one interview. Results showed that the student-generated models from all year levels were mostly analogies, some textbook definitions and occasional drawings. In making their model, students first read the text; second, outline similarities in structure and function or both; and third, make the model. Data suggest that models are good diagnostic tools for identifying critical thinking skills of students. In this case, students mostly demonstrate the ability to recognize similarities in structure and function between the concept and their model. Some senior students demonstrated integration and reflective thinking in making their models. Thus, more opportunities for student-generated models must be available if students were to develop integration and reflective thinking in their models.

• Journal of Distribution Science
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• v.15 no.7
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• pp.43-52
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• 2017

Purpose - This study investigates shopping behaviors and effects focusing on the seniors in 50s and 60s based on their buying satisfaction in online shopping. The study investigated causal relation between effects having influence upon online shopping behavior to give theoretical base on the use of online shopping. The study gave implications of consumption attitude of silver generation as well as senior consumers in aging society. Research design, data, and methodology - The subject was senior consumers who have experienced online shopping to be sensitive to the fashion and to have active and reasonable consumption pattern and to be active and to have positive value. Results - This study investigated the mediating effect on purchase satisfaction of the 50s and the 60s upon online shopping to examine online shopping use and effects. The subject was the ones in their 50s and 60s in Gyeonggi and Chungnam who had experienced online shopping. All of hypotheses of models at PLS analysis were supported. Conclusions - Both information innovation and self-satisfaction showed positive influence upon the ease of and also access of the use. In addition, the access to the use had positive influence upon the purchase intention in retailers' online shopping.