Journal of Physiology & Pathology in Korean Medicine
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v.20
no.6
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pp.1732-1741
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2006
Obesity is chronic disease which influenced on health severly. The causes of obesity have been known as life change, lack of excercise, genetic factor, mental and social economic factors. Especially the obesity of women increased the risk of the diseases such as DM, osteoarthritis, cardiovascular disease, breast cancer and infertility. The limitations of the widely used negative definition of health as the absence of disease and WHO's 1946 definition of health as total social, psychological and physical well-being have long been recognized (WHO 1958). The Quality of Life (QoL) includes functional ability, the degree and quality of social and community interaction, psychological well-being as somatic sensation and life satisfaction. I investigated to compare the differences between obese women (n=63), non-obese women (n=37) in clinic and general women (n=43, control) on baseline characteristics and WHO QoL-BREF. The purpose of this study is to assist the diagnosis and treatment of obesity. WHO QoL-BREF is self administered type which consisted of 26 questions. The prospective question is calculated with 5 scores by Likert's method. The results are as follows : The means of physical, psychological, social, overall and total scores of QoL were significant among BMI group (P<0.05). The score of control group (BMI < 25) was higher than other groups significantly (P<0.05). In multiple regression analysis, the variable of high school/below middle school was significant in environmental and overall domain of QoL scores (P<0.05). The variable of college/below middle school was significant in environmental, overall domain and total score of QoL scores (P<0.05). The variable of above university/below middle school was significant in physical health, environmental, overall domain and total score in QoL scores (P<0.05). The variable of Health perception (moderate/bad) was positively significant in physical health, environmental, overall domain and total score of QoL scores (P<0.05). The variable of Health perception (good/bed) was positively significant in physical health, environmental, social, overall domain and total score of QoL scores (P<0.05). The variable as BMI non-=obese women/control was negatively significant in social domain of QoL scores (P<0.05). Above the results, It suggests that the variable as BMI did't affect on the QoL in patients and control, but the variables as education and health perception affected on the QoL scores. Further study is required to conduct QoL differences between before and after treatment of obese patients.
Journal of the Korean Society of Earth Science Education
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v.2
no.1
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pp.1-12
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2009
The purpose of this study is to find out the effect on academic achievement and science-related affective domain of elementary students though science journal writing about the units of Science textbook of the first semester of the sixth grade. The results indicate that science-journal writing has influenced the students positively in the academic achievement of a lower group's academic achievements, in science related attitudes, 'voluntariness' and 'cooperation', in science learning motives, 'self-satisfaction for science', 'superficial strategies for science', and 'expectation for science', in fear level for science subjects, its lower fear class, 'experiment performance'. A middle group was revealed to have more positive improvement in 'cooperation' and 'perseverance', both of which were lower categories of science related attitudes, and as subgrade of science learning motives, 'self-efficiency for science' and 'expectation for science' stood out. For fear level for science subjects, the lower group gained distinctive results from 'science evaluation'.
Purpose - Overall social entrepreneurship has a positive effect on the organization's C.S.R. and overall growth. This study aims to identify the effects of social entrepreneurship in startup companies on corporate social responsibility by identifying gaps in the literature and providing feasible solutions to the gaps. Research design, Data, and methodology - The qualitative content analysis that was conducted by this research takes the form of two research designs. The first step to conducting a conceptual content analysis is to choose the level of analysis, specifically words, phrases, word sense and the second step is the relational content analysis by choosing the concept to be examined, only that the analysis entails examining the relationships between concepts Result - According to the investigation of numerous previous literature review, the current authors found out total six solutions and the application of suggested solutions indicated that the use of innovative models, startup organizations can gain a competitive edge against dominant competitors in their industry of operations, Conclusion - Finally, the conclusion of this research indicates through the use of innovative solution models, startup organizations can gain a competitive edge against dominant competitors in their industry of operations and startup companies may range from an increase in reputation to growth in profitability and entrepreneurs' satisfaction.
Park, Mangoo;Lee, Yunkyung;Jeong, Bohwa;Jung, Yujin;Kim, Jiyoung
The Mathematical Education
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v.62
no.1
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pp.117-149
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2023
This study attempted to design a virtual space using ZEP, a metaverse platform, to enable mathematics classes in the metaverse space, to apply it to mathematics classes, and to find out changes in students' affective domain. As a result, students showed positive effects in terms of subject efficacy, subject interest, intrinsic motivation, class satisfaction and participation. In addition, we found the possibility of customized classes for each student level by performing different missions in classroom classes with limited time and space.
Jun, Mina;Kim, Chung K.;Han, Jeongsoo;Kim, Miyea;Kim, Joshua Y.
Asia Marketing Journal
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v.16
no.1
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pp.101-116
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2014
In the year 2013, Warren Buffett was named one of the most influential people of the year by TIME magazine. When people are exposed to such news, they show strong interest in who the influential people are and how those people became so successful. Likewise, people show strong attachment to other prominent figures as well. This social phenomenon indicates that people perceive well-known persona like business leaders, TV stars or sports stars etc. as human brands of intangible assets. As the role of these human brands is becoming more important, people tend to develop stronger attachment toward them. Another notable modern social phenomenon is people's pursuit of life-satisfaction and social well-being. People desire to increase their quality of life by having quality time with family and friends, and also by building attachment towards celebrities, sports stars, and so on. The main objective of this study is to examine how attachment toward human brands affects quality of life. While existing studies on human brands examined antecedents of attachment, e.g., some needs fulfillment such as A-R-C needs (autonomy, relatedness and competence needs) fulfillment, this study focuses on the outcome variables of attachment, e.g., how attachment toward human brands affects stress relief and life satisfaction through self-efficacy. Based on previous research, we divided human brands into two types: heroes and celebrities. Heroes are defined as people who have considerable and lasting importance on both societal and individual levels, and celebrities are defined as people who are well-known but have little or no short-term impact on society and individual levels. This study focuses on how attachment toward each type of human brands, celebrities and heroes, affects the quality of life or well-being. This study focuses on three important outcome variables; stress relief, life satisfaction, and self-efficacy, (three variables) which have been recently gaining importance, especially in the domain of positive psychology. Major findings from the present study show that although celebrities draw attachment from people by providing fun and entertainment or providing stress relief, they have weak influences on the wellbeing or efficacy of individuals at a deeper level. In contrast, attachment toward heroes helps people live better by providing meaning and positively influencing life satisfaction through self-efficacy (Frankl 1997). These results are consistent with the main tenet of 'positive psychology' which seeks "to find and nurture genius and talent and to make normal life more fulfilling" (Seligman and Csikszentmihalyi 2000). Considering the fact that certain celebrities are perceived as heroes to some, we can conclude that celebrities can become heroes if they provide meaning and value to the lives of people. This study contributes to the research stream of human brands since the most current leading research (e.g., Thomson 2006) indicated the need to look at the resulting effect of attachment on life satisfaction through self-efficacy. Another important contribution is that we empirically documented the different effects of celebrities and heroes. As expected, this study shows that heroes more deeply influence the lives of individuals in the long term while celebrities do so rather shallowly in the short term. The issues of the influence of heroes on the individuals' lives need to be further investigated in relation with the perspective of positive psychology.
In the rapidly evolving domain of e-commerce, our study presents a cohesive approach to enhance customer satisfaction prediction from online reviews, aligning methodological innovation with practical insights. We integrate the RFE-SHAP feature selection with LDA topic modeling to streamline predictive analytics in e-commerce. This integration facilitates the identification of key features-specifically, narrowing down from an initial set of 28 to an optimal subset of 14 features for the Random Forest algorithm. Our approach strategically mitigates the common issue of overfitting in models with an excess of features, leading to an improved accuracy rate of 84% in our Random Forest model. Central to our analysis is the understanding that certain aspects in review content, such as quality, fit, and durability, play a pivotal role in influencing customer satisfaction, especially in the clothing sector. We delve into explaining how each of these selected features impacts customer satisfaction, providing a comprehensive view of the elements most appreciated by customers. Our research makes significant contributions in two key areas. First, it enhances predictive modeling within the realm of e-commerce analytics by introducing a streamlined, feature-centric approach. This refinement in methodology not only bolsters the accuracy of customer satisfaction predictions but also sets a new standard for handling feature selection in predictive models. Second, the study provides actionable insights for e-commerce platforms, especially those in the clothing sector. By highlighting which aspects of customer reviews-like quality, fit, and durability-most influence satisfaction, we offer a strategic direction for businesses to tailor their products and services.
This study was conducted with the purpose of exploring the relationship dynamics of couples who experienced dating violence. For this purpose, interviews were conducted with 15 couples who experienced dating violence. The collected data was analyzed using the consensual qualitative research(CQR) method. As a result, 3 domains, 13 categories, and 30 subcategories were derived. Domain 1 was about "the direction of the dynamics of perpetration and victimization, types of violence, and experience level," and found that the dynamics of perpetration and victimization are bidirectional, and that there are situational and controlling types of violence. For domain 2, we explored "major conflict themes, unique perceptions, and psychological dynamics of violence" and identified "other and communication issues" and "interference and personality issues" as major conflict themes, "gender stereotypes" and "violence permissive beliefs" as unique perceptions, and "attribution styles," "major emotions," and "coping styles" as psychological dynamics of violence. For domain 3, we looked into the 'changes in commitment and satisfaction as well as relationship maintenance factors' and presented changes in commitment and satisfaction, and found that the relationship maintenance factors were divided into positive and negative factors. These results are significant in that dating violence consists of mutual abuse and that it empirically revealed the detailed elements of the psychological dynamics of male and female. This was compared and analyzed with previous studies, and limitations and future research were also presented.
Purpose: The purpose of this study was to evaluate the effectiveness of the Permission, Limited Information, Specific Suggestions, Intensive Therapy (PLISSIT) model sexual program on female sexual function for women with gynecologic cancer. Methods: The integrative 6-hr (two hours per session) program reflecting physical and psychosocial aspects of women's sexuality was developed based on Annon's PLISSIT model. Participants were 61 women with cervical, ovarian, or endometrial cancer. Of them, 29 were assigned to the experimental group and 32 to the control group. The women completed the Female Sexual Function Index (FSFI) including sexual desire, arousal, lubrication, orgasm, satisfaction, and pain. Independent t-test and repeated measured ANOVA were used to test the effectiveness of the program. Results: Significant group differences were found on FSFI sub-domain scores including sexual desire, arousal, lubrication, orgasm, and satisfaction but not pain. Significant time differences were found on all domains except for pain in the experimental group repeated measured ANOVA. Conclusion: The results indicate that the three-week PLISSIT model sexual program is effective in increasing sexual function for women with gynecologic cancer. Nurses may contribute to improving women's sexual function by utilizing the program. Strategies to relieve sexual pain need to be considered for greater effectiveness of the program.
Journal of Agricultural Extension & Community Development
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v.4
no.2
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pp.453-466
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1997
The purpose of this study was to analyze the social perceptions toward the society from the new generation undergraduate students. The questionnaire consisted of the general backgrounds to respondents, the satisfaction on their living domain, the characteristics of new generation students, the attitude for the life and the occupation, the perspectives of life achievement, the viewpoint of the society, and the attitude toward the religion, the selected self, and 7 items for the social common opinion. The validity and the reliability of questionnaire were accepted to considerable extent through pre-test. The data obtained from the students of the selected universities were analyzed by SPSSWIN 6.0, and the statistical techniques used for this study were ANOVA, $Crosstabs(x^2\;test)$, t-test, frequencies, and percentage. The results were as follows : 1) The new generation undergraduate students had the higher satisfaction on the family and the relationship of friends than on the campus life, the self, and the society. 2) There was some negative image on the old generations and the new generations by the respondents. 3) Their objectives of the life were not obtaining the reputation and the higher positions but get the economic wealth for enjoying their life.
KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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v.4B
no.1
/
pp.29-35
/
2004
Locomotive scheduling in railway systems experiences many difficulties because of the complex interrelations among resources, knowledge and various constraints. Artificial intelligence technology has been applied to solve these scheduling problems. These technologies have proved to be efficient in representing knowledge and rules for complex scheduling problems. In this paper, we have applied the CSP (Constraints Satisfaction Problems) programming technique, one of the AI techniques, to solve the problems associated with locomotive scheduling. This method is more effective at solving complex scheduling problems than available mathematical programming techniques. The advanced locomotive scheduling system using the CSP programming technique is realized based on the actual timetable of the Saemaul type train on the Kyong-bu line. In this paper, an overview of the CSP programming technique is described, the modeling of domain and constraints is represented and the experimental results are compared with the real-world existing schedule. It is verified that the scheduling results by CSP programming are superior to existing scheduling performed by human experts. The executing time for locomotive scheduling is remarkably reduced to within several decade seconds, something requiring several days in the case of locomotive scheduling by human experts.
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