• Journal of Digital Convergence
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• v.17 no.10
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• pp.427-432
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• 2019

The purpose of this study is to explore the characteristics of spatial expression in the works of Terunobu Fujimori, Japan's leading eco-friendly architect, in line with the contemporary background on environmental issues. As a method of research, we will select five representative multi-room spaces from the 1990s to the present and explore the characteristics of expression in the space through literature research. As a result of the analysis, we were actively using the strategy of using natural materials to finish the space and introduce plants into the building. Japan's strategy of borrowing traditional methods was to use them as a way of expressing space, a way of expressing fantasy and deviance. We expect that the demands of modern people seeking novelty in this era and the eco-friendly building plan of feasible alternatives can be presented as another methodology for spatial design.

• Communications for Statistical Applications and Methods
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• v.30 no.1
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• pp.95-107
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• 2023

Purpose: The statistical analysis of point processes on linear networks is a recent area of research that studies processes of events happening randomly in space (or space-time) but with locations limited to reside on a linear network. For example, traffic accidents happen at random places that are limited to lying on a network of streets. This paper applies techniques developed for point processes on linear networks and the tools available in the R-package spatstat to estimate the intensity of traffic accidents in Leon County, Florida. Methods: The intensity of accidents on the linear network of streets is estimated using log-linear Poisson models which incorporate cubic basis spline (B-spline) terms which are functions of the x and y coordinates. The splines used equally-spaced knots. Ten different models are fit to the data using a variety of covariates. The models are compared with each other using an analysis of deviance for nested models. Results: We found all covariates contributed significantly to the model. AIC and BIC were used to select 9 as the number of knots. Additionally, covariates have different effects such as increasing the speed limit would decrease traffic accident intensity by 0.9794 but increasing the number of lanes would result in an increase in the intensity of traffic accidents by 1.086. Conclusion: Our analysis shows that if other conditions are held fixed, the number of accidents actually decreases on roads with higher speed limits. The software we currently use allows our models to contain only spatial covariates and does not permit the use of temporal or space-time covariates. We would like to extend our models to include such covariates which would allow us to include weather conditions or the presence of special events (football games or concerts) as covariates.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.59 no.2
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• pp.99-109
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• 2023

In this study, a comparative test operation was conducted through the alternate haul method to examine the selectivity of the four mesh sizes (60 mm, 90 mm, 110 mm, and 130 mm) of the trawl codend. The selectivity was analyzed using the SELECT model considering the fishing efficiency (split parameter) of each fishing gear in the comparative test fishing operation in the trawl and the maximum likelihood method for parameter estimation. A selectivity master curve was estimated for several mesh sizes using the extended-SELECT model. As a result of analyzing the selectivity for silver croaker based on the results of three times hauls for each experimental gear, it was found that the size of the fish caught increased as the size of the mesh size increased. When the selectivity for each mesh size analyzed by the SELECT model considering the split ratio was evaluated based on the size of the AIC value, the estimated split model was superior to the equal split model. Based on the master curve, the 50% selection length value was 2.893, which was estimated to be 136 mm based on the mesh size of 60 mm. In some selectivity models, there was a large deviance between observed and theoretical values due to the non-uniformity of the distribution of fished length classes. As a result, it is considered that appropriate sea trials and selectivity evaluation methods with high reliability should be applied to present trawl fishery resource management methods.

• Journal of English Language & Literature
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• v.57 no.5
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• pp.839-870
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• 2011

This study compares and contrasts Jane Austen's novels of sensibility with those of Rousseau and Goethe. In Julie, or The New Heloise and The Sorrows of Young Werther, the passionate but doomed love of the heroine and her lover is juxtaposed with her passionless marriage to the virtuous husband. In Sense and Sensibility and Pride and Prejudice, Austen revises Rousseau and Goethe's novels of sensibility to accommodate them to the puritanical English literary conventions. She parodies the basic plot of Menage a trois found in their novels of sensibility and transforms her novels into British Bildungsroman, focusing on the heroines' maturation. In Sense and Sensibility, Marianne stands up against the mercenary and snobbish high society. However, Austen represses Marianne's sensibility since the indulgence in sensibility can bring about sexual fall, as is evidenced by the cases of the two Elizas. Marianne's dangerous fever following Willoughby's betrayal emphasizes that female sexual desire should be punished for her continued existence in the high society. The taming of her sensibility and body through the fever is posited as a prerequisite for the happy marriage. In Pride and Prejudice, Elizabeth favors the deprived Wickham over the wealthy Darcy. As Wickham turns out to be a debauched lover, Darcy snatches sexual charms from him and is transfigured into one of the most virtuous and attractive husbands in Menage a trois of the novels of sensibility. Acknowledging sexuality as a vital element of a courtship, Austen embeds sexual desire in dances and glances. However, Elizabeth has to repress sensibility and desire and the complete gratification of desire is continuously deferred to some indefinite period in the future. Marriage is a synecdoche for the union of the bourgeois and the aristocracy in Austen's Bildungsroman and Marianne and Elizabeth are bestowed with happy marriage in return for repressing their sensibility and desire. Since their 'normality' and 'maturation' have been achieved at the expense of subversive sexual power of deviant sensibility, they look too impotent to gratify their desire when they finally secure comfortable but mediocre upper class life.

• Journal of the Korean Society of School Health
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• v.36 no.3
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• pp.113-125
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• 2023

Purpose: The purpose of this study is to develop a model for predicting mental health risk among adolescents based on health behavior information by employing a hybrid machine learning method. Methods: The study analyzed data of 51,850 domestic middle and high school students from 2022 Youth Health Behavior Survey conducted by the Korea Disease Control and Prevention Agency. Firstly, mental health risk levels (stress perception, suicidal thoughts, suicide attempts, suicide plans, experiences of sadness and despair, loneliness, and generalized anxiety disorder) were classified using the k-mean unsupervised learning technique. Secondly, demographic factors (family economic status, gender, age), academic performance, physical health (body mass index, moderate-intensity exercise, subjective health perception, oral health perception), daily life habits (sleep time, wake-up time, smartphone use time, difficulty recovering from fatigue), eating habits (consumption of high-caffeine drinks, sweet drinks, late-night snacks), violence victimization, and deviance (drinking, smoking experience) data were input to develop a random forest model predicting mental health risk, using logistic and XGBoosting. The model and its prediction performance were compared. Results: First, the subjects were classified into two mental health groups using k-mean unsupervised learning, with the high mental health risk group constituting 26.45% of the total sample (13,712 adolescents). This mental health risk group included most of the adolescents who had made suicide plans (95.1%) or attempted suicide (96.7%). Second, the predictive performance of the random forest model for classifying mental health risk groups significantly outperformed that of the reference model (AUC=.94). Predictors of high importance were 'difficulty recovering from daytime fatigue' and 'subjective health perception'. Conclusion: Based on an understanding of adolescent health behavior information, it is possible to predict the mental health risk levels of adolescents and make interventions in advance.

• Korean Journal of Psychosomatic Medicine
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• v.8 no.1
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• pp.20-30
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• 2000

Objective : This study was designed to investigate the frequencies and the relation of stressful life events and health problems and evaluate the influence of stressful life events on the physical symptoms and anxiety in adolescents. Method : Newcomb's 39-item life-event questionnaire and Newcomb's 19-item health problems questionnaire were administered to 475 adolescents. The frequencies of stressful life events and health problems which had actually occurred to them during the previous 12 months were investigated. Items of stressful life events were classified in 8 dimensional scaling factors(Family/parents, Accident/Illness, Sexuality, Autonomy, Deviance, Relocation, Distress, Items not in scales) and items of health problems were classified in 5 health problems(General, Heart and Lung, Nervous system, Anxiety, Psychosomatic symptoms) and the correlation between them was analyzed. Result : 1) The average number of events occurring during the past year for the 475 adolescents is 3(7.7%). The most frequent item of stressful life events was 'Thought about suicide' and dimensional factors of "Distress" and "Autonomy" were the most frequent life events in multidimensional sacling analysis. There were more factors of "Family/Illness" and " Autonomy" in male, while there was more factor of "Distress" in female. There were more factors of "School violence" and "Deviance" in younger students, while there were more factors of "Sexuality" and "Autonomy" in older students. 2) The most frequent item of health problem was 'excessive fatigue' and "anxiety" was most frequent health problem in multidimensional scaling analysis. There were more health problems in female than those in male. The higher grades the students became, the more health problems they have reported. 3) There was significant relationship between 7 factors of stressful life events except one factor of "Relocation" and 5 health problems. Conclusions : These findings suggest that as adolescents grow older, they are engaging in more controllable behaviors related to autonomy and sexuality and at the same time are experiencing increased difficulty with distressful or discomforting events, and their stressful life events are significantly related to decreased health and psychological functiong.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.9
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• pp.4049-4054
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• 2014

Background: Race and ethnicity are significant factors in predicting survival time of breast cancer patients. In this study, we applied advanced statistical methods to predict the survival of White non-Hispanic female breast cancer patients, who were diagnosed between the years 1973 and 2009 in the United States (U.S.). Materials and Methods: Demographic data from the Surveillance Epidemiology and End Results (SEER) database were used for the purpose of this study. Nine states were randomly selected from 12 U.S. cancer registries. A stratified random sampling method was used to select 2,000 female breast cancer patients from these nine states. We compared four types of advanced statistical probability models to identify the best-fit model for the White non-Hispanic female breast cancer survival data. Three model building criterion were used to measure and compare goodness of fit of the models. These include Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC). In addition, we used a novel Bayesian method and the Markov Chain Monte Carlo technique to determine the posterior density function of the parameters. After evaluating the model parameters, we selected the model having the lowest DIC value. Using this Bayesian method, we derived the predictive survival density for future survival time and its related inferences. Results: The analytical sample of White non-Hispanic women included 2,000 breast cancer cases from the SEER database (1973-2009). The majority of cases were married (55.2%), the mean age of diagnosis was 63.61 years (SD = 14.24) and the mean survival time was 84 months (SD = 35.01). After comparing the four statistical models, results suggested that the exponentiated Weibull model (DIC= 19818.220) was a better fit for White non-Hispanic females' breast cancer survival data. This model predicted the survival times (in months) for White non-Hispanic women after implementation of precise estimates of the model parameters. Conclusions: By using modern model building criteria, we determined that the data best fit the exponentiated Weibull model. We incorporated precise estimates of the parameter into the predictive model and evaluated the survival inference for the White non-Hispanic female population. This method of analysis will assist researchers in making scientific and clinical conclusions when assessing survival time of breast cancer patients.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.19
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• pp.8371-8376
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• 2014

Background: The use of statistical methods has become an imperative tool in breast cancer survival data analysis. The purpose of this study was to develop the best statistical probability model using the Bayesian method to predict future survival times for the black non-Hispanic female breast cancer patients diagnosed during 1973-2009 in the U.S. Materials and Methods: We used a stratified random sample of black non-Hispanic female breast cancer patient data from the Surveillance Epidemiology and End Results (SEER) database. Survival analysis was performed using Kaplan-Meier and Cox proportional regression methods. Four advanced types of statistical models, Exponentiated Exponential (EE), Beta Generalized Exponential (BGE), Exponentiated Weibull (EW), and Beta Inverse Weibull (BIW) were utilized for data analysis. The statistical model building criteria, Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) were used to measure the goodness of fit tests. Furthermore, we used the Bayesian approach to obtain the predictive survival inferences from the best-fit data based on the exponentiated Weibull model. Results: We identified the highest number of black non-Hispanic female breast cancer patients in Michigan and the lowest in Hawaii. The mean (SD), of age at diagnosis (years) was 58.3 (14.43). The mean (SD), of survival time (months) for black non-Hispanic females was 66.8 (30.20). Non-Hispanic blacks had a significantly increased risk of death compared to Black Hispanics (Hazard ratio: 1.96, 95%CI: 1.51-2.54). Compared to other statistical probability models, we found that the exponentiated Weibull model better fits for the survival times. By making use of the Bayesian method predictive inferences for future survival times were obtained. Conclusions: These findings will be of great significance in determining appropriate treatment plans and health-care cost allocation. Furthermore, the same approach should contribute to build future predictive models for any health related diseases.

• Management & Information Systems Review
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• v.34 no.4
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• pp.31-66
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• 2015

The purpose of this research is to examine that internal virtue (i.e. virtue between organizational members) and external virtue (i.e. virtue between organizational members and external members) positively associate with job performance when considering organizational identification, positive work-related identity, affective commitment, emotional exhaustion, and collective self-esteem as mediators. Virtue in organization has received attention as critical attribute of positive organizational scholarship. Cameron(2003) defined the study of virtue as a study of the capacity, attributes, and reserve in organization that facilitates the expression of positive deviance among organization member. In addition, this study contributes to the qualitative investigation on how internal giving virtue (i.e. the employees' virtue for their organization), internal receiving virtue (i.e. virtue employees receive from their organization), external giving virtue (i.e. the organization's virtue for society), and external receiving virtue (i.e. virtue the organization receives from society), used as independent variables, influence job performance after creating research model for the four virtuous behaviors through qualitative research. Therefore, this research contributes to the creation of research model for virtuous behaviors within organizations and virtuous behaviors with external members through qualitative study and sheds light on how these variables influence job performance by virtue of qualitative research.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.11
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• pp.445-452
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• 2017

Electric pole is a supporting beam used for power transmission/distribution which accelerometer are used for measuring a external force. The meteorological condition has various effects on the external forces of electric pole. One of them is the elasticity change of the aerial wire. It is very important to perform modelling. The acceleration sensor is converted into a pitch and a roll angle. The meteorological condition has a high correlation between variables, and selecting significant explanatory variables for modeling may result in the problem of over-fitting. We constructed high deviance explained model considering multicollinearity using the Generalized Additive Model which is one of the machine learning methods. As a result of the Variation Inflation Factor Test, we selected and fitted the significant variable as temperature, precipitation, wind speed, wind direction, air pressure, dewpoint, hours of daylight and cloud cover. It was noted that the Hours of daylight, cloud cover and air pressure has high explained value in explonatory variable. The average coefficient of determination (R-Squared) of the Generalized Additive Model was 0.69. The constructed model can help to predict the influence on the external forces of electric pole, and contribute to the purpose of securing safety on utility pole.