• Journal of Biomedical Engineering Research
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• v.25 no.4
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• pp.277-282
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• 2004

In order to investigate the small female occupant behavior and accompanying injury mechanisms in vehicular trash event, a finite element model of $5^{th}$ percentile female has been developed. The model consists of articulated rigid body, which represents the morphology of small female body, and internal components with anatomical details. Articulated rigid body model serves as a basic platform for joining the detail internal skeletons and organs, while itself can be used for representing the overall kinematics of small female occupant. The modeling details such as anthropometry and finite element structure as well as validation results for the articulated rigid body model are introduced in this paper. The second part of the modeling, i.e. the internal components with anatomical details of small female are presented in subsequent part II of the paper.

• Transactions of the Korean Society of Automotive Engineers
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• v.12 no.3
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• pp.177-183
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• 2004

The out-of-positioned small female drivers are most likely to be injured during airbag deployment due to their stature and proximity to the steering wheel and airbag module. In order to investigate the injury mechanisms, some experimental studies with Hybrid III 5% female dummy and with female cadavers could be found from the open literatures. However, the given information from those experimental studies is quite limited to the standard conditions and might not be enough to estimate the airbag inflation aggressiveness regarding on the occupant responses and injury. In this study, a finite element analysis has been performed in order to investigate the airbag-induced injuries. A finite element 5% female human model in anatomical details has been developed. The validation results of the model are also introduced in this paper.

• Journal of Korean Academy of Nursing
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• v.34 no.1
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• pp.172-181
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• 2004

Purpose: This study was designed to construct a structural model for explaining negative outcomes of anger in female adolescents. Methods: Data was collected by questionnaires from 199 female adolescents ina female high school in Seoul. Data analysis was done with SAS for descriptive statistics and a PC-LISREL Program for Covariance structural analysis. Results: The fit of the hypothetical model to the data was moderate, thus it was modified by excluding 7 paths and adding free parameters to it. The modified model withthe paths showed a good fit to the empirical data($x^2$ =5.62, p=.69, GFl=.99, AGFl=.97, NFI=.99, NNFI=l.01, RMSR=.02, RMSEA=.00). Trait anger, state anger, and psychosocial problems were found to have a significant direct effect on psychosomatic symptoms. State anger, psychosocial problems, and learning behaviorswere found to have direct effects on depression of female adolescents. Conclusion: The derived modelis considered appropriate for explaining and predicting negative outcomes of anger in female adolescents. Therefore, it can effectively be used as a reference model for further studies and is a suggested direction in nursing practice.

• Asia-Pacific Journal of Business
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• v.11 no.3
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• pp.185-198
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• 2020

Purpose - The purpose of this study is to examine the effect of performance-related pay on gender labor productivity differences theoretically and empirically. Design/methodology/approach - This study analyzes the Principal-Agent model in which a firm employes many male and female workers under moral hazard, and uses large survey data from Survey of Business Activities of MDIS (MicroData Integrated Service) in Korea. The fixed-effect model is employed in order to analyze the data. Findings - The theoretical result is that, after performance-related pay is offered to workers, the effect of performance-related pay on gender productivity is determined by whether the female ratio within firm affects firm's performance(such as revenue and profit) per capita. The empirical result is that, before performance-related pay is provided for all workers, the firm's female ratio does not affect firm's revenue and profit per capita at all, but after it is offered, the female ratio positively affects firm's performance per capita. Research implications or Originality - Fixed pay does not bring about the difference between male and female productivity, but performance-related pay affects female productivity more positively than male productivity in Korean firms. It means that female workers are more sensitive to incentives than men in Korea.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.6
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• pp.2893-2900
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• 2014

Background: Statistical methods are very important to precisely measure breast cancer patient survival times for healthcare management. Previous studies considered basic statistics to measure survival times without incorporating statistical modeling strategies. The objective of this study was to develop a data-based statistical probability model from the female breast cancer patients' survival times by using the Bayesian approach to predict future inferences of survival times. Materials and Methods: A random sample of 500 female patients was selected from the Surveillance Epidemiology and End Results cancer registry database. For goodness of fit, the standard model building criteria were used. The Bayesian approach is used to obtain the predictive survival times from the data-based Exponentiated Exponential Model. Markov Chain Monte Carlo method was used to obtain the summary results for predictive inference. Results: The highest number of female breast cancer patients was found in California and the lowest in New Mexico. The majority of them were married. The mean (SD) age at diagnosis (in years) was 60.92 (14.92). The mean (SD) survival time (in months) for female patients was 90.33 (83.10). The Exponentiated Exponential Model found better fits for the female survival times compared to the Exponentiated Weibull Model. The Bayesian method is used to obtain predictive inference for future survival times. Conclusions: The findings with the proposed modeling strategy will assist healthcare researchers and providers to precisely predict future survival estimates as the recent growing challenges of analyzing healthcare data have created new demand for model-based survival estimates. The application of Bayesian will produce precise estimates of future survival times.

• Journal of Engineering Education Research
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• v.20 no.2
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• pp.57-62
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• 2017

The purpose of this study is to develop an educational model based on the capacity analysis of college students. In order to measure the learning ability of female science and engineering students, we used various tools to derive core competencies. The competency element of human resources implementation, the element of learning achievement area in the undergraduate education actual condition survey, and the analysis of the learning achievement elements of the engineering certification program were analyzed and the development of teaching method was searched to find ways to increase the competence of female students. In addition, we developed a model that can apply the development of pedagogy in the curriculum to the liberal arts, majors, and comparative courses, and presented the internship in field experience area, the improvement of on the spot learning, and teaching method and guidance to enhance the female students' competence. Also, as a case study of the proposed teaching method, new curriculum of 'Understanding of Big Data' which is the basis of the fourth industrial revolution technology in the second semester of 2016 was developed and applied to the education model. The results of this study are very positive, and we can expect the effectiveness of the new education model to enhance the learning ability and capacity of female students.

• Journal of Digital Convergence
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• v.12 no.10
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• pp.597-604
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• 2014

This research aimed at comparative analysis of body composition and basic physical strength of model majored female college students and general female college students. The research object was composed of 15 model majored female college students of D University, who learned the purpose of this research enough and wrote the consent form of voluntary participation and 15 general female college students, who have no medical history and currently no special disease, and no experience in regular exercise. They underwent body composition inspection, left right grasping power which is the basic physical strength, back muscle strength, flexibility, rapidity, muscle endurance, and the researcher performed descriptive statistics to calculate the average standard deviation, and analyzed to verify difference between groups by using independent t-test. With statistical significance level p<.05, the results are as follows. model majored female college students and general female college students showed meaningful difference between groups in weight, skeletal muscles, body fat volume, BMI and left right grasping power, back muscle strength, rapidity(p<.05). between groups in flexibility and muscle endurance(p>.05).

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.5
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• pp.839-854
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• 2018

This study (1) explores female consumers' attitudes toward fat people and perceptions about plus-size models, (2) addresses female consumers' responses to models with different body sizes, and (3) examines the effect of plus-size model presence on female consumers' body image. We collected an online questionnaire from a total of 600 female participants in their 20's and 30's. Stimuli included six full-colored photo images of models with thin and plus body sizes (three in each group). Images were captured from the online shopping site of the fashion brand currently providing both average and plus-size clothes. Respondents were randomly assigned one of the groups by model size. Results support the sociocultural perspective that a thin/ideal body of models has a negative influence on female viewers' sociocultural attitudes toward appearance, mood state and body satisfaction. Findings also suggest that exposure to plus-size models can reduce negative media effects on females body image perceptions, regardless of individual body size.

• Journal of Fashion Business
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• v.8 no.6
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• pp.103-112
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• 2004

A Politician Appearance Acceptance Model (PAAM model) was formed and designed based on an analysis of how the electorate would accept a female politician. The PAAM model evaluated factors which influenced the voter's view of the female politician based on appearance. Causative factors were assessed that impacted acceptance based on appearance and analyzed whether voting was influenced by the appearance image; appearance image preferences for a female politician included the classic, dramatic, romantic and natural images. Through validations, the appearance image and competency had a causative factor that contributed to the acceptance of the politician image. The Classic Image demonstrated the strongest and most important image among the appearance images. As voters were more interested in the appearance image of a female politician, more emphasis and weight was on the appearance image during the voting selection process.

• Research in Community and Public Health Nursing
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• v.12 no.3
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• pp.557-569
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• 2001

The purpose of the study was to test the Pender's New Health Promotion Model in order to explain and predict female workers' health promotion behavior at manufacturing plants by using latent variable structural equation model. The data were collected from 280 female workers at 8 electronic factories located at Seoul. Kyunggi. and Incheon using a structured questionnaire through interview and self-report. LISREL was used to test the model. The results are as follows: 8 out of 15 paths of the modified one from the hypothetical model of Health Promotion were statistically significant and the total variance was 40%. The relationship between the previous health behavior and the cognitive emotional factor, and the interpersonal factor. and the situational factor each. and the relationship between perceived health status and interpersonal factor, and health promotion behavior each among gamma paths were unidirectional. On the beta paths. the relationship between the interpersonal factor and the cognitive emotional factor was bi-directional: the relationships amongst the interpersonal factor and the commitment to action, and the health promotion behavior were unidirectional. But the commitment to action was not a significant mediating factor to the health promotion behavior. Pender's New Model is considered good to explain and predict the female workers' health promotion behavior. The interpersonal factor should be considered in occupational nursing practice. But the concepts of situation and commitment to action should be further validated and measured.