• The Korean Journal of Ecology
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• v.28 no.5
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• pp.255-260
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• 2005

We investigated interventions by mother Jeju ponies on Jeju Island, Korea, to determine whether mothers assisted their offspring to attain higher status within the dominance hierarchy. Because dominance rank is important within each gender, we predicted that mothers would be more likely to intervene when their foals were play-fighting with foals of the same gender. A total of 173 play-fighting events were recorded from March to October 1998 and from April to October 1999. Of these, foals were more likely to play-fight with a foal of the same gender as with a foal of the opposite gender (120 versus 53 occurrences, respectively). A mother of one of the foals that were play-fighting intervened in 17 of these interactions. Contrary to the prediction, a mare was more likely to intervene when opposite genders interacted than when the same gender interacted. Analyzing interactions between the opposite genders further, mothers were equally likely to intervene when a daughter was play-fighting with a male foal as when a son was play-fighting with a female foal. Hence, mothers were not more protective of daughters than sons. Mothers that were in the younger age class ($2\sim11$ years old) were as likely to intervene as those in the elder age class ($17\sim25$ years old). However, all foals that were harassed were offspring of mothers in the younger, more subordinate age class. intervention directly maintains the dominance rank of the intervening mother, and may indirectly assist the intervening mother's foal to achieve a higher dominance rank. By discouraging their foals from play-fighting with the opposite genders, dominant mothers may be encouraging their foals to play-fight with the same gender and participate in establishing its own dominance rank.

• Phonetics and Speech Sciences
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• v.4 no.1
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• pp.99-108
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• 2012

Recent research has identified that self-reported voice problems are a risk indicator for voice disorders. However, previous studies concerning the general population did not take into account the influence of gender on self-reported voice problems. The purpose of the present cross-sectional study was to determine the gender differences in risk factors of self-reported voice problems in the Korean adult population using national survey data. This study utilized data from the Korea National Health and Nutritional Examination Survey 2008. Subjects inclued 3,622 people (1,508 male and 2,114 female) aged 19 years and older living in the community. Data were analyzed using t-test, one-way ANOVA, and multiple logistic regression. The prevalence of self-reported voice problems was 5.9% in males, and 8.1% in females Females had higher incidents of self-reported voice problems than males. Adjusting for covariates, in males, age (OR=2.47, 95% CI: 1.07-5.70), pain and discomfort during the last two weeks (OR=3.64, 95% CI: 2.20-6.01) were independently associated with self-reported voice problems (p<0.05). In women, age (OR=1.96, 95% CI: 1.18-3.26), education (OR=2.09, 95% CI: 1.06-4.12), smoking (OR=2.70, 95% CI: 1.48-4.93), thyroid disorders (OR=2.58, 95% CI: 1.47-4.53), pain and discomfort during the last two weeks (OR=1.75, 95% CI: 1.21-2.54) were independently associated with self-reported voice problem (p<0.05). Self-reported voice problems related risk factors differed according to gender. These findings suggest that there needs to be different program strategies that reflect gender differences in self-reported voice problems.

• The Journal of Korean Society for School & Community Health Education
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• v.21 no.3
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• pp.35-47
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• 2020

Objectives: This study is a descriptive research study conducted to grasp the Prediction factors of the sexual violence experience of college students. Methods: A convenience sampling was performed for 500 students from one college located in Gyeongsangbuk-do, who agreed to the purpose of this study. Data collection was conducted from October 5, 2015, to October 23, 2015, by filling out the self-report questionnaire. Among the 450 subjects excluding those with missing values, a questionnaire of dating violence experience was applied to 317 college students who answered that they had a friend of the opposite sex, and variables and prediction factors related to dating violence experiences were identified. The statistical methods used were descriptive statistics, x²-test, t-test, Pearson's correlation coefficient and binary logistic regression analysis. Results: As a result of the study, the experience of sexual behavior before entering college (𝑥²=6.52, p=.011), experience of sexual violence damage before entering college(p=.045), the experience of sexual assault before entering college (p=.007) and experience of school violence damage(p=.002) were variables related to the sexual violence experience of college students. School violence victimization (OR=4.831, p=.007) and controlling dating partners (OR=1.349, p<.001) were predictors of dating sexual violence. Dating sexual violence experience group were compared to dating sexual violence non-experience group, the relative degree of controlling dating partners was high (t=4.25, p<.001) and had a traditional gender role attitude (t=2.94, p=.004). and there was a positive correlation (r=.358, p<.001) between controlling dating partners and gender role attitude. Conclusions: In order to prevent sexual violence on dating among college students, it is expected that more effective health education results will emerge if the contents of the school-age school violence victimization experience and the control of dating partners, which are predicted factors of sexual violence on dating, are included in the sexual violence prevention program.

• Journal of Korean Academy of Nursing
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• v.50 no.2
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• pp.191-199
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• 2020

Purpose: The purpose of this study was to compare sociodemographic characteristics of a normal cognitive group and mild cognitive impairment group, and establish prediction models of Mild Cognitive Impairment (MCI). Methods: This study was a secondary data analysis research using data from "the 4th Korea Longitudinal Study of Ageing" of the Korea Employment Information Service. A total of 6,405 individuals, including 1,329 individuals with MCI and 5,076 individuals with normal cognitive abilities, were part of the study. Based on the panel survey items, the research used 28 variables. The methods of analysis included a χ²-test, logistic regression analysis, decision tree analysis, predicted error rate, and an ROC curve calculated using SPSS 23.0 and SAS 13.2. Results: In the MCI group, the mean age was 71.4 and 65.8% of the participants was women. There were statistically significant differences in gender, age, and education in both groups. Predictors of MCI determined by using a logistic regression analysis were gender, age, education, instrumental activity of daily living (IADL), perceived health status, participation group, cultural activities, and life satisfaction. Decision tree analysis of predictors of MCI identified education, age, life satisfaction, and IADL as predictors. Conclusion: The accuracy of logistic regression model for MCI is slightly higher than that of decision tree model. The implementation of the prediction model for MCI established in this study may be utilized to identify middle-aged and elderly people with risks of MCI. Therefore, this study may contribute to the prevention and reduction of dementia.

• Journal of the Ergonomics Society of Korea
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• v.27 no.2
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• pp.1-7
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• 2008

This study quantified 7 trunk muscles' physiological cross-sectional areas (PCSAs) and developed prediction equations for the physiological cross-sectional area as a function of anthropometic variables for Korean people. Nine females and nine males were participated in the magnetic resonance imaging (MRI) scans approximately from S1 through T8. Muscle fiber angle corrected cross-sectional areas (anatomical cross sectional areas: ACSAs) were recorded at each vertebral level and maximum value of ACSAs were determined as physiological cross sectional area (PCSA). There was a significant gender difference in PCSAs of all muscles (p<0.05). Stepwise linear regression techniques using anthropometric measures (e.g., height, weight, trunk depths and widths) as independent variables were conducted to develop prediction equations for the PCSA for each muscle. For males, six muscles' significant prediction equations (p<0.05) were developed except quadratus lumborum. For females, three prediction equations were developed for psoas, quadratus lumborum, and erector spinae muscles (p<0.05).

• Journal of Korean Academy of Nursing
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• v.40 no.3
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• pp.378-388
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• 2010

Purpose: This study was designed to build a theoretical frame to provide practical help to prevent and manage adolescent internet game addiction by developing a prediction model through a comprehensive analysis of related factors. Methods: The participants were 1,318 students studying in elementary, middle, and high schools in Seoul and Gyeonggi Province, Korea. Collected data were analyzed using the SPSS program. Decision Tree Analysis using the Clementine program was applied to build an optimum and significant prediction model to predict internet game addiction related to various factors, especially parent related factors. Results: From the data analyses, the prediction model for factors related to internet game addiction presented with 5 pathways. Causative factors included gender, type of school, siblings, economic status, religion, time spent alone, gaming place, payment to Internet cafe$\acute{e}$, frequency, duration, parent's ability to use internet, occupation (mother), trust (father), expectations regarding adolescent's study (mother), supervising (both parents), rearing attitude (both parents). Conclusion: The results suggest preventive and managerial nursing programs for specific groups by path. Use of this predictive model can expand the role of school nurses, not only in counseling addicted adolescents but also, in developing and carrying out programs with parents and approaching adolescents individually through databases and computer programming.

• Korean Journal of Childcare and Education
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• v.16 no.5
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• pp.69-86
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• 2020

Objective: The purpose of this research was to examine the prediction models of conflict and intimacy in teacher-child relationships based on decision tree analysis. Methods: The participants were 297 preschool children from ages three to five including 166 boys and 131 girls. Teacher-child relationships were measured by the Student-Teacher Relationship Scale(STRS). Physical aggression, relational aggression, social withdrawal, and prosocial behaviors were measured by teacher ratings. Moreover, ADHD-RS(Attentive Deficit Hyperactivity Disorder Rating Scale) was used to measure ADHD. The data was analyzed with decision tree analysis. Results: According to the prediction model for teacher-child conflict, the significant predictors were physical aggression and social withdrawal. According to the prediction model for teacher-child intimacy, the significant predictors were prosocial behaviors and relational aggression. However, children's age, gender and ADHD were not significant predictors. Conclusion/Implications: The findings suggest that social behaviors may be closely related with teacher-child relationships for preschool children. Based on the results of this study, intervention suggestions were made.

• Journal of Family Resource Management and Policy Review
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• v.22 no.1
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• pp.63-78
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• 2018

This study examined the insolvency of debtors using multiple-indicator approaches and compared the outcomes across income levels with the 2016 'Household Financial and Welfare Survey'. This study used (1) the total debt to total assets ratio (DTA), (2) the total debt service ratio (DSR), and (3) the Household Default Risk Index (HDRI) recently developed by the Bank of Korea. Households in the lowest income quintile were more likely to be insolvent than any other income group. Demographics, such as age and gender of the household head, and most of the financial variables significantly increased the likelihood of insolvency based on the DTA. The number of household members and job status increased the likelihood of insolvency based on the DSR. Also, age, gender of the household head, and most of the financial variables increased the likelihood of household insolvency based on the HDRI after controlling for other demographics and financial variables.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.509-512
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• 2024

자연어 처리 기술은 인간 언어의 이해와 처리에서 큰 진전을 이루었으나, 학습 데이터에 내재한 성별 편향이 모델의 예측 정확도와 신뢰성을 저하하는 주요한 문제로 남아 있다. 특히 성별 예측에서 이러한 편향은 더욱 두드러진다. 제로샷 분류 기법은 기존에 학습되지 않은 새로운 클래스를 효과적으로 예측할 수 있는 기술로, 학습 데이터의 제한적인 의존성을 극복하고 다양한 언어 및 데이터 제한 상황에서도 효율적으로 작동한다. 본 논문은 성별 클래스 확장과 데이터 구조 개선을 통해 성별 편향을 최소화한 새로운 데이터셋을 구축하고, 이를 제로샷 분류 기법을 통해 학습시켜 성별 편향성이 완화된 새로운 성별 예측 모델을 제안한다. 이 연구는 다양한 언어로 구성된 자연어 데이터를 추가 학습하여 성별 예측에 최적화된 모델을 개발하고, 제한된 데이터 환경에서도 모델의 유연성과 범용성을 입증한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.47-50
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• 2023

본 논문에서는 딥러닝 CNN 알고리즘을 이용하여 사람의 얼굴 이미지를 학습한 다음 나이와 성별을 예측하는 시스템을 제안한다. 이 시스템은 개개인 마다 각기 다른 외형적 특성을 고려하여 이를 분석한 다음 이에 맞는 헤어 스타일, 옷차림을 추천할 수 있다. 해당 기술을 활용하여 메타버스 아바타 생성에 사용자의 얼굴과 같은 신체적 특성을 고려할 수 있다. 향후에는 신체 전체를 이미지화하여 보다 더 다양한 정보를 인식할 수 있도록 연구를 진행할 것이다.