In this study, predictive mathematical models were developed to predict the kinetics of Listeria monocytogenes growth in the mixed fresh-cut vegetables, which is the most popular ready-to-eat food in the world, as a function of temperature (4, 10, 20 and $30^{\circ}C$). At the specified storage temperatures, the primary growth curve fit well ($r^2$=0.916~0.981) with a Gompertz and Baranyi equation to determine the specific growth rate (SGR). The Polynomial model for natural logarithm transformation of the SGR as a function of temperature was obtained by nonlinear regression (Prism, version 4.0, GraphPad Software). As the storage temperature decreased from $30^{\circ}C$ to $4^{\circ}C$, the SGR decreased, respectively. Polynomial model was identified as appropriate secondary model for SGR on the basis of most statistical indices such as mean square error (MSE=0.002718 by Gompertz, 0.055186 by Baranyi), bias factor (Bf=1.050084 by Gompertz, 1.931472 by Baranyi) and accuracy factor (Af=1.160767 by Gompertz, 2.137181 by Baranyi). Results indicate L. monocytogenes growth was affected by temperature mainly, and equation was developed by Gompertz model (-0.1606+$0.0574^*Temp$+$0.0009^*Temp^*Temp$) was more effective than equation was developed by Baranyi model (0.3502-$0.0496^*Temp$+$0.0022^*Temp^*Temp$) for specific growth rate prediction of L.monocytogenes in the mixed fresh-cut vegetables.
Grandparent-grandchildren family adolescents(GGFAs) need to be well discussed because they tend to be more influenced by the negative surroundings than ordinary family adolescents. Over the past few years, several studies have been made on the correlation between the risk factor, the protective factor and the school resilience of GGFAs, but these studies have the limit to explain the only correlation between the one factor and the school resilience. So the purpose of this study was to examine not only the direct effect between the risk factor and the protective factor, but also the parametric path and effect that the one factor has influence on the correlation between the another factor and the school resilience of GGFAs. We investigated the 328 GGFAs in Korea, and the analytic method used was the Structural Equation Modeling(SEM). The followings are the results of this paper. It was found that the model adaptability had a considerable validity by inspecting the SEM, which showed not only the direct effect between the risk factor, protective factor and the school resilience of GGFAs, but also the mediation effect by the protective factor. The risk factors - the indifference of teacher, the negative attachment relationship, melancholy, uneasiness etc - had a negative influence on the school resilience of GGFAs. The protective factors - the supporss etteacher, self-esteem etc - had a positive influence on the school resilience of GGFAs. The protective factors were found to reduce the negative influence on the school resilience of GGFAs.
Kim, Eunseop;Moon, Sun-In;Yim, Dong-Hyuk;Choi, Byung-Sun;Park, Jung-Duck;Eom, Sang-Yong;Kim, Yong-Dae;Kim, Heon
Journal of Environmental Health Sciences
/
v.48
no.4
/
pp.236-243
/
2022
Background: In the case of multiple exposures to different types of heavy metals, such as the conditions faced by residents living near a smelter, it would be preferable to group hazardous substances with similar characteristics rather than individually related substances and evaluate the effects of each group on the human body. Objectives: The purpose of this study is to evaluate the utility of factor analysis in the assessment of health effects caused by exposure to two or more hazardous substances with similar characteristics, such as in the case of residents living near a smelter. Methods: Heavy metal concentration data for 572 people living in the vicinity of the Janghang smelter area were grouped based on several subfactors according to their characteristics using factor analysis. Using these factor scores as an independent variable, multiple regression analysis was performed on health effect markers. Results: Through factor analysis, three subfactors were extracted. Factor 1 contained copper and zinc in serum and revealed a common characteristic of the enzyme co-factor in the human body. Factor 2 involved urinary cadmium and arsenic, which are harmful metals related to kidney damage. Factor 3 encompassed blood mercury and lead, which are classified as related to cardiovascular disease. As a result of multiple linear regression analysis, it was found that using the factor index derived through factor analysis as an independent variable is more advantageous in assessing the relevance to health effects than when analyzing the two heavy metals by including them in a single regression model. Conclusions: The results of this study suggest that regression analysis linked with factor analysis is a good alternative in that it can simultaneously identify the effects of heavy metals with similar properties while overcoming multicollinearity that may occur in environmental epidemiologic studies on exposure to various types of heavy metals.
Journal of The Korean Association For Science Education
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v.27
no.7
/
pp.570-582
/
2007
The purpose of this study was to analyze the causal relationship among students' science-related career choice and its factors. The causal relationship was analyzed using structural equation modeling. According to the most fitting model, science career aspiration had a direct and total effect of 0.95 (standardized coefficient) on the science career choice, and personal factor had an indirect and total effect of 0.75 on the science career choice, educational factor, 0.46, and social factor, 0.11. Personal factor had a direct and total effect of 0.79 on the science career aspiration, educational factor with total effect of 0.48 (direct effect -0.21, indirect effect 0.69), and social factor with direct and total effect of 0.12. On the other hand, educational factor had a direct and total effect of 0.72 on the social factor, and a direct and total effect of 0.77 on the personal factor. The difference in the causal effect among grades and between gender was analyzed. The difference was only in the magnitude of influence among grades, showing the same tendency with the total number of students, but the difference between gender was contrastive. For the boys, social factor had the biggest effect on the science career choice, next was personal factor, and the educational factor had the smallest effect. The girls' science career choice influenced mostly from personal factor, and the other two factors' effects were not high. The social effect was negative for the girls' science career choice. The implications of proper science career education were discussed from these results, considering the causal relationship among factors of science career choice and its factors.
This work is intended to investigate how the factors of enterprise mobile SNS affect user satisfaction and continuous use intention through technology acceptance model proposed by Davis. To achieve the purpose, this researcher explored Information Systems Success model proposed by DeLone & McLean, Technology Acceptance Model proposed by Davis, and Model after Acceptance, and on the basis of the investigation, performed a study. For the data of this work, 9 enterprises, each of which has more than 100 employees and is located in Seoul, were chosen, and a questionnaire survey was conducted on their 276 employees who experienced enterprise mobile SNS. As a data collection tool, a structured self-administered questionnaire was used. For data analysis, SPSS 18.0 and AMOS 18.0 were used for applying Structural Equation modelling. According to the results of this work, three factors of enterprise mobile SNS-systematic factor (system quality, information quality, and service quality), user factor (personal innovation and personal familiarity), social factor (social effects and social interaction)-affected user satisfaction and continuous use intention through perceived availability, perceived easiness, and perceived enjoyment. Also, it was found that the direction of effects matched a theoretical prediction. And, it was revealed that the decision variables and mediating variables significantly affected user satisfaction and continuous use intention. Theoretical and practical meanings were discussed for the study result, and some suggestions were made for the issues of this work and future studies.
Park, Jong-Bum;Park, Jung-Il;Chang, Sung-Pil;Cho, Jae-Yeol
Journal of the Korea Concrete Institute
/
v.21
no.5
/
pp.619-628
/
2009
To predict the time-dependent behavior of concrete structures, the models which describe the time-dependent characteristics of concrete, i.e. creep and shrinkage are required. However, there must be significant differences between the displacements that are obtained using the given creep and shrinkage models and the measured displacements, because of the uncertainties of creep and shrinkage model itself and those of environmental condition. There are some efforts to reduce these error or uncertainties by using the model which are obtained from creep test for the concrete in construction site. Nevertheless, the predicted values from this model may be still different from the actual values due to the same reason. This study aimed to propose a method of estimating the creep coefficient from the measured displacements of concrete structure, where creep model uncertainty factor was considered as an error factor of creep model. Numerical validation for double composite steel box and concrete beam showed desirable feasibility of the presented method. Consideration of the time-dependent characteristics of creep as one of the error factors make it possible to predict long-term behaviors of concrete structures more realistically, especially long-span PSC girder bridges and concrete cable-stayed bridges of which major problem is the geometry control under construction and maintenance.
This study is to observe the effectiveness of the applied model and to present the improvement plan and directions for development for the case management practical model suitable for the actual condition of Korea Labor Welfare Co. and needs of the industrial injury patients. The concrete purpose of this study is: First, observe the difference of stressor experience and experience degree between the experimental group and the comparative group. Second, observe the difference of stress of the experimental group and the comparative group. Third, find out how the stress affects the support degree and satisfaction degree. Fourth, present the improvement plan of case management model, which can promote the psychosocial rehabilitation of the industrial injury patient based on the research results. The outline of the main research results identified in this study is as follows. The stressors the industrial injury patients perceived are health problems, family matters, the problems concerning hospital recuperation (hospital staff and environmental problems), economical problems, problems of coming back to society, problems with companies, problems with Korea labour Welfare Co. and other problems. And the experience of stressor was prominently lower in experimental group than comparative group in the whole problem, health problem, problems with Korea Labour-Welfare Co. and other problems. The stressor experience degree was conspicuously lower in experimental group in the whole problem experience degree, health problem experience degree, problem with Korea Labour Co. experience degree and other problem experience degree. Besides whether or not the case management is applied is having a prominent affect on the primary factor affecting the stressor experience degree, therefore the patients applied with case management has less stressor than the patient who didn't. The difference of degree of tension experienced by the stressor in both groups, the degree of stress, was not conspicuous in statistics so it shows that the application of case management in this research has not affected the degree of tension. The field which had been the most help was emotional support in help level the experimental group perceived through applying case management about industrial accident patients and recuperation, compensation problem, medical treatment problem, family matters has been helpful in this order. The help level of the whole problem was in higher level than the middle value. The stress factor which affects the case management problem settlement is the whole body of stress. The satisfaction level of help through applying case management was highest in emotional support and family matters, recuperation problem, company problem, compensation problem, and medical treatment problem was the next highest. The satisfaction level of the whole problem was higher than the middle value. The stress factor affecting the satisfaction level of help is the whole body of stress. Therefore to reduce the stress level of industrial accident patients and for them to come back to local societies, we need to reinforce the continuance and responsibility of case management model, increase staff, reinforce the role of counsel and medical treatment, intervene in the patient's plan of leaving the hospital, develop social support system and the need to establish After Care Center.
This paper identified the difference in perception of the consignment system between the freight company and the consigned vehicle owners, derived factors that urgently need to improve the difference in perception, and presented the basis for establishing a management model based on this. A management model based on the difference in perception of consigned borrowers was established, and research hypotheses were established to conduct reliability, validity, and confirmatory factor analysis, path analysis, and mediation effect verification. As a result of the analysis, out of 58 questions, 56 of the total 65 questions showed a difference in perception of the consignment system between trucking companies and consigned vehicle owners, and the questions were input as management model factors. As a result of conducting confirmatory factor analysis, path analysis, and mediating effect verification using only recognition data, 5 hypotheses were adopted, and it was analyzed that the factor had no mediating effect. It can be analyzed that the appropriateness of the compensation system affects the improvement of each other's relationship, and the improvement of each other's relationship leads to the improvement of transportation services. However, since the mediating effect was rejected because it was not significant, this effect should not be exaggerated.
Journal of the Korean Society of Clothing and Textiles
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v.29
no.3_4
s.141
/
pp.535-546
/
2005
The purposes of this study are to verify the validity of the conceptual structure of clothing shopping orientation(CSO) developed in the previous research, and to explore the difference of CSO structure between male and female consumer groups. For those purposes, data of 499 male and female consumers were collected. Confirmatory factor analysis, ANOVA, and simultaneous factor analysis were used for data analysis. The results are as follows. First, as a result of confirmatory factor analysis, the validity of conceptual structure of CSO was verified. Second, as a result of ANOVA, male and female showed significantly different CSO at the lower-dimensions level, and as a result of simultaneous factor analysis, male and female showed significantly different relationships between dimensions within the structure. This means that the CSOs of both male and female can be explained by the same CSO structure model, but the specific relationships between CSO dimensions are different by the gender of consumers. Finally, directions for fashion marketing mix concerning the CSO structures of male and female were suggested.
This study tested the validity of the six-factor model of fashion savvy which was modified from the consumer savvy scale developed by Macdonald and Uncles(2007) and explored the relationship between fashion savvy and consumer propensity to observe. Regarding the relationship, it was hypothesized that consumer propensity to observe antecedes fashion savvy. Data were gathered by surveying university students in Seoul metropolitan area, using convenience sampling, and 311 questionnaires were used in the statistical analysis. In analyzing data, factor analysis and regression were conducted. The findings show the validity of the six factors of fashion savvy, which are fashion sophistication, interpersonal network competency, online network competency, marketing literacy, consumer self-efficacy, and consumer expectations. Tests of the hypothesized relationship show that two factors of consumer propensity to observe influence fashion savvy. More specifically, the 'observing shoppers' factor positively influences all six factors of fashion savvy, whereas the 'following what others buy' factor negatively influences four factors of fashion savvy, fashion sophistication, interpersonal network competency, marketing literacy, and consumer self-efficacy. The implications of these findings and suggestions for future study are also discussed.
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