Our team carried out a new program for public engagement on nanotechnology in Korea. We chose 22 monitors, who majored in science or technology and graduated from universities long time ago. Most of them were married and housewives. This 'focus group' had not only general knowledge about science or technology but also much interest in social activities. The 167 nanoproducts to be monitored were for daily life, e.g. home appliances (washing machine, refrigerator, water purifier, etc), clothing, cosmetics, food, toy, and others. And the period of it was one month. The monitors had a sheet with 10 questions, and filled them out in essay form. All of them submitted 2~3 sheets every weekend to our team. Before monitoring, our team had a meeting for introduction and explanation about the potential risk of nanotechnology as well as benefits from it. Another meeting was held after finishing monitoring to share their experience one another. The main results of the monitoring were as follows: the number of nanoproducts describing both the definition of 'nano' and the size of nanomaterials was just 2 (1.2%) the number of them explaining the technical methods enough was 15 (9/0%) the number of them accounting for the reason of functional improvement enough was 14(8.4%); the number of them doubtful as if there would be exaggeration or false knowledge was 27 (16.2%); the number of them commenting potential hazards to human health or environment was almost zero; the number of them describing about safety certification acceptable was 9 (5.4%). The monitors made a proposal containing recommendation to Government and industry. The contents were as follows: industry should make the manual in detail and correctly, Describe Certificate detailed and correctly, Do research on risk and toxicity continually, Educate employee about nanoproducts at consumer's center; Government should make indication of nanoproducts compulsory, Appoint Certificate Authority and make Certificate Mark guaranteeing the safety on nanoproducts, Make detailed explanation about nanoproducts compulsory.
Journal of Korea Society of Industrial Information Systems
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v.23
no.6
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pp.67-77
/
2018
Currently, there are many problems due to the decline in school-age population. Moreover, Korea has the largest number of universities compared to the population, and the university enrollment rate is also the highest in the world. As a result, the minimum student retention rate required for the survival of each university is becoming increasingly important. The purpose of this study was to examine the effects of reducing the number of graduates of education and the social climate that prioritizes employment. And to determine what the basic direction is for students to manage the student retention rate, which can be maintained from admission to graduation, to determine the optimal input variables, Based on the input parameters, we will make associative analysis using apriori algorithm to collect training data that is most suitable for maintenance rate management and make base data for development of the most efficient Deep Learning module based on it. The accuracy of Deep Learning was 75%, which is a measure of graduation using decision trees. In decision tree, factors that determine whether to graduate are graduated from general high school and students who are female and high in residence in urban area have high probability of graduation. As a result, the Deep Learning module developed rather than the decision tree was identified as a model for evaluating the graduation of students more efficiently.
The purpose of this study is to investigate the factors associated with the incidence and the transition of disability among Korean older adults. Samples consist of 1,454(42.7%) men and 2,032(58.3%) women aged 65 and over who participated in the 1st and 2nd wave of the Korea Longitudinal Study of Aging: KLOSA. To estimate the level of disability, ADL and IADL disability indexes are used. As the results, major risk factors for ADL/IADL disability incidence include injury, vision problem, cognitive function, depression, health behavior, socioeconomic characteristics and age. Among the normal older adults, the odds ratio of having dementia symptoms at 2nd wave(2008) are 2.0 times greater for the older adults who have less cognitive function than those who don't have at 1st wave(2006). Among the older adults with chronic diseases, the odds ratio of having disability at 2nd wave are 1.8 times greater for the older persons who have depression than those who don't have at 1st wave. Secondly, concerning the predictors affecting the disability transition among the disabled older adults at 1st wave, the likelihood of remaining at the same level or deteriorating the level of IADL disability, as compared with improving the level, is associated with having less instrumental support or being older. These results indicate that it is necessary to prefer multilevel intervention in order not only to prevent the incidence of disability, but also to prolong the deterioration of disability in the older adults.
Journal of the Korean Applied Science and Technology
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v.38
no.2
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pp.356-367
/
2021
This study investigated the effect of swimming exercise on inflammation in non-alcoholic fatty liver using animal models of postmenopausal obese women. Experimental animals were divided into a sham-operate + non-swimming trained group (S/N), an ovariectomize + non-swimming trained group (O/N) and an ovariectomize + swimming trained group (O/S), and were bred while eating a high fat diet for 8 weeks. Fat accumulation in liver tissue, liver weight, and serum AST and ALT increased in O/N compared to S/N, but decreased in O/S compared to O/N. Compared to S/N, O/N decreased the gene expression of IκBα in liver tissue and increased gene expression of MCP-1, IL-6, and TNF-α. But compared to O/N, O/S increased the gene expression of IκBα in liver tissue and decreased gene expression of MCP-1, IL-6, and TNF-α. In conclusion, this study suggested that swimming exercise was effective in improving physical health by improving inflammation in non-alcoholic fatty liver in obese mice induced obesity by high fat diet after ovariectomy.
The study aimed to investigate the relation between patriarchal family environment and zero-sum beliefs, and the mediating effect of sexism on the relation based on the Instrumental Model of Group Conflict (Esses et al., 1998). This study also examined the moderating effect of gender on the relation between patriarchal family environment and sexism, and the moderated mediating effect of gender through sexism. Participants were 310 first-year college students (234 males and 76 females) in the college of science and engineering, and they completed a survey consisting of patriarchal family environment, sexism, and zero-sum belief. Data were analyzed using SPSS Macro Process, and the results indicated that the relation between patriarchal family environment and zero-sum beliefs was fully mediated by sexism. In addition, the relation between patriarchal family environment and sexism was moderated by gender. Specifically, patriarchal family environment significantly predicted sexism for men, but not for women. Moreover, only for men, sexism mediated the relation between patriarchal family environment and zero-sum beliefs. Therefore, patriarchal family environment could cause sexism which could promote zero-sum beliefs for men.
Conversational AI which allows users to interact with satisfaction is a long-standing research topic. To develop conversational AI, it is necessary to build training data that reflects real conversations between people, but current Korean datasets are not in question-answer format or use honorifics, making it difficult for users to feel closeness. In this paper, we propose a conversation dataset (KOMUChat) consisting of 30,767 question-answer sentence pairs collected from online communities. The question-answer pairs were collected from post titles and first comments of love and relationship counsel boards used by men and women. In addition, we removed abuse records through automatic and manual cleansing to build high quality dataset. To verify the validity of KOMUChat, we compared and analyzed the result of generative language model learning KOMUChat and benchmark dataset. The results showed that our dataset outperformed the benchmark dataset in terms of answer appropriateness, user satisfaction, and fulfillment of conversational AI goals. The dataset is the largest open-source single turn text data presented so far and it has the significance of building a more friendly Korean dataset by reflecting the text styles of the online community.
This study was attempt to derive the aging trajectories of Korean elderly people and identify its characteristics. In particular, this study used the successful aging model of Rowe and Kahn as an analytical framework. Using the Korean Longitudinal Study of Ageing(KLoSA), this study applied group-based multi-trajectory analysis to identify multiple aging trajectories in sample of Korean elder aged 65~74(n=2,682). This study also used several demographic characteristics as baseline predictors to identify the characteristics of each aging trajectory. Five dimensions were analyzed in the multi-trajectory model: chronic disease, physical functional limitation, cognitive functioning, depressive symptom and social engagement. As a result of the analysis, five aging trajectories were identified: successful aging(17.8%), usual aging (33.9%), health declining aging(18.2%), pathological aging(7.9%), and aging with mild cognitive impairment(22.1%). In general, the odds of experiencing successful aging were high in men, low-aged, highly educated, high-income, and spousal elderly. On the other hand, for the elderly, who are under-educated, low-income, and high-aged, there was a high probability of experiencing a relatively difficult aging process. In particular, the odds of experiencing a mild cognitive impairment aging was high in older, lower-income women without a spouse.
This study aimed to investigate the association between social support and the change of depressive symptoms and its difference by gender among Korean Baby Boomer. We used the Korean Longitudinal Study of Aging (KLoSA) 5th (in 2014) and 6th waves (in 2016). Samples were Korean Baby Boomer (born 1955 to 1963) who have spouse and children(N = 1,210). Dependent variable was depressive symptoms and independent variables were four social support variables (spousal relationship satisfaction, parent-child relationship satisfaction, frequency of social contact, and number of participation groups). Interaction variables between social support and gender were also included in the model. Hierarchical regression analysis with the lagged dependent variable was performed. Results showed that the higher the satisfaction of spousal relationship and the satisfaction of parent-child relationship, the less the depressive symptoms increased. All interaction variables were not significant. These findings mean that the support from the spouse and the child is helpful in lowering depressive symptoms, and the associations between social support and depressive symptoms are not different by gender among Baby Boomer. It implies that interventions for enhancing family relationships, especially spousal relationship and parent-child relationship, may be useful to reduce depressive symptoms among Korean Baby Boomer.
The purpose of the study is 1) to investigate the reciprocal relationship between cognitive functioning and depressive symptoms and 2) to examine whether there is gender difference in this mutual relationship. The uniqueness of the current study is in its investigation on the simultaneous reciprocal relationship between cognitive functioning and depressive symptoms, which is different from previous studies examining unidirectional relationship. Subjects were 3,511 individuals aged 65 and over who participated in the first and second wave of Korean Longitudinal Study of Ageing. Non-recursive structural equation modeling identified the reciprocal relationship between cognitive functioning and depressive symptoms, with poorer cognitive functioning leading to higher depressive symptoms and higher depressive symptoms resulting in poorer cognitive functioning. Multi-group analysis showed the gender difference in the relationship between cognitive functioning and depressive symptoms. Specifically, cognitive functioning was the significant predictor of depressive symptoms for females, whereas the depressive symptoms was the significant predictor of cognitive functioning for males. These findings indicate that the reciprocal relationship and gender difference should be considered when we development practice implications for prevention and treatment related to depression and cognitive functioning. Based on these findings, implications for theory and practice were discussed.
Journal of the Korean Society for information Management
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v.40
no.4
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pp.1-31
/
2023
This study conducted user experience evaluation by introducing various text mining techniques along with topic modeling techniques for mobile menstrual cycle measurement applications that are closely related to women's health and analyzed the results by combining them with a honeycomb model. To evaluate the user experience revealed in the menstrual cycle measurement application review, 47,117 Korean reviews of the menstrual cycle measurement application were collected. Topic modeling analysis was conducted to confirm the overall discourse on the user experience revealed in the review, and text network analysis was conducted to confirm the specific experience of each topic. In addition, sentimental analysis was conducted to understand the emotional experience of users. Based on this, the development strategy of the menstrual cycle measurement application was presented in terms of accuracy, design, monitoring, data management, and user management. As a result of the study, it was confirmed that the accuracy and monitoring function of the menstrual cycle measurement of the application should be improved, and it was observed that various design attempts were required. In addition, the necessity of supplementing personal information and the user's biometric data management method was also confirmed. By exploring the user experience (UX) of the menstrual cycle measurement application in-depth, this study revealed various factors experienced by users and suggested practical improvements to provide a better experience. It is also significant in that it presents a methodology by combines topic modeling and text network analysis techniques so that researchers can closely grasp vast amounts of review data in the process of evaluating user experiences.
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