In the last several decades, and especially since the Chinese launching of the Belt and Road (BRI) initiative in 2013, the Chinese presence in Central Asia has intensified. Russia and Chinese leaders deny that there is any conflict of interests between them, while the standard narrative has been that the two states adhere to a functional division of tasks in which China concentrates on economic activity while Russia acts as the security guarantor for the region. This article argues that the professed equanimity between the Russian and Chinese leaderships masks the emergence of widening cracks in their relationship with regard to Central Asia. The convenient narrative of a functional division of tasks between the two states is called into question by China's increasingly active presence in the military and security sector in the region, but China's influence is growing throughout the Central Asian economic, political, and social order. China's movement into Central Asia challenges Russia's claim to act as an equal partner of China, as well as its pretensions to regional hegemony. This development reflects the widening disparity between the two states with respect to their power capabilities but it also exposes the interactions between Russia and China in Central Asia as the most vulnerable aspect of their relationship. In Central Asia, a defensive Russia encounters an ascendant China.
Objective: The purpose of this study is to develop a machine learning model to predict the subsequent childbirth intention of married women with one child, aiming to address the low birth rate problem in Korea, This will be achieved by utilizing data from the 2021 Family and Childbirth Survey conducted by the Korea Institute for Health and Social Affairs. Methods: A prediction model was developed using the Random Forest algorithm to predict the subsequent childbirth intention of married women with one child. This algorithm was chosen for its advantages in prediction and generalization, and its performance was evaluated. Results: The significance of variables influencing the Random Forest prediction model was confirmed. With the exception of the presence or absence of leave before and after childbirth, most variables contributed to predicting the intention to have subsequent childbirth. Notably, variables such as the mother's age, number of children planned at the time of marriage, average monthly household income, spouse's share of childcare burden, mother's weekday housework hours, and presence or absence of spouse's maternity leave emerged as relatively important predictors of subsequent childbirth intention.
The objective of the research is to investigate the causal relationships among functional value, emotional value, social value, perceived sacrifice, satisfaction, loyalty and behavioral intention. All in all, 296 respondents completed a questionnaire themselves in the presence of an interviewer who could be consulted about the response scales and other technical matters. Behavioral intention models were estimated by structural equation modelling using 7 latent constructs. The results demonstrated that the confirmatory factor analysis model provided a good model fit. The unconstrained model yielded a significantly better fit to the data than the constraint model. The effects of functional value and social value on satisfaction and behavioral intention were statistically significant. The effects of perceived sacrifice, satisfaction and loyalty on behavioral intention were statistically significant. As expected, satisfaction had a significant effect on loyalty. Functional value had an indirect effect on behavioral intention through satisfaction and loyalty. Moreover, social value had an indirect effect on behavioral intention through satisfaction and loyalty. Replicating and extending this study in other regions and other samples would test the generalizability of the present findings and provide a basis for an external validation of the framework developed in this paper.
During acute stages of hospitalized stroke patients, family caregivers face many challenges. They often experience emotional distress, social isolation, and financial constraints. However, the burden of caregiving of stroke patients in acute stages has never been studied properly. The purpose of this study was to investigate the factors related to the caregivers' burden with acute stroke. The subjects were 123 acute stroke patients and their caregivers who were admitted to neurology and neurosurgery units at Dan Kook University Hospital in Chung-Nam area. An interview was performed with the use of standardized questionnaire which included data pertaining to the patients/caregivers characteristics, caregiver burden (Modified Zarit's Burden Scale), and social support (Personal Resource Questionnaire). Our results showed that the mean burden score was 3.11, indicating high level of burden. Among the sub-domain scores, financial burden was the highest. In univariate analysis, the factors related to caregiver burdens were: inability to communicate between patients and caregiver(p<.001); low cognitive function of the patients(p<.001); low level of ADL(p<.001); the gender of caregiver(p<.001); the current employment status of caregivers(p<.01); the presence of social support for caregiver(p<.001); and the availability of alternative caregivers(p<.001). In multiple regression analysis, social support for family caregivers (87%), low level of patient's cognition (2%), availability of 2nd caregiver (1%), and gender of caregiver (female, 0.4%) were significant explanatory factors of overall burden. The caregivers' burden in acute stages during hospitalization following stroke was high. Recognition of high levels of caregivers' burden and those relating factors affecting caregiver burden may allow us to develop different nursing strategies to unload the level of burden for caregivers in acute stages of stroke.
In this study, as recently there is active discussion in academia and relevant industries relating to delegation of social welfare facilities to the private sector, self-regulations relating to such delegation by Seoul was analyzed for systematic supply of social welfare service and find ways to improve self-regulations that will be enacted or amended by local governments. The data was collected from self-regulations of Seoul based on the self-regulation information system as of May 1, 2015, and analyzed according to the steps of delegation to the private sector proposed by Hyangsun Choi, in terms of presence of clauses and contents. Based on the analysis, the study prosed: first, clarity in description of application criteria and relevant facilities and dual system of the delegation agencies; second, improvement in criteria for selecting the delegation agencies and the head of committee; third, clauses related to supervision of an administrative agency; fourth, overall improvement of clauses related to evaluation nd review of delegation and institutional arrangement for more transparent evaluation.
Purpose: As comprehensive nursing care service has gradually expanded, it has become necessary to explore the various opinions about it. The purpose of this study is to explore the large amount of text data regarding comprehensive nursing care service extracted from online news and social media by applying a semantic network analysis. Methods: The web pages of the Korean Nurses Association (KNA) News, major daily newspapers, and Twitter were crawled by searching the keyword 'comprehensive nursing care service' using Python. A morphological analysis was performed using KoNLPy. Nodes on a 'comprehensive nursing care service' cluster were selected, and frequency, edge weight, and degree centrality were calculated and visualized with Gephi for the semantic network. Results: A total of 536 news pages and 464 tweets were analyzed. In the KNA News and major daily newspapers, 'nursing workforce' and 'nursing service' were highly rated in frequency, edge weight, and degree centrality. On Twitter, the most frequent nodes were 'National Health Insurance Service' and 'comprehensive nursing care service hospital.' The nodes with the highest edge weight were 'national health insurance,' 'wards without caregiver presence,' and 'caregiving costs.' 'National Health Insurance Service' was highest in degree centrality. Conclusion: This study provides an example of how to use atypical big data for a nursing issue through semantic network analysis to explore diverse perspectives surrounding the nursing community through various media sources. Applying semantic network analysis to online big data to gather information regarding various nursing issues would help to explore opinions for formulating and implementing nursing policies.
The Journal of Korean Society for School & Community Health Education
/
v.24
no.4
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pp.13-26
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2023
Objectives: The purpose of this study was to explore the factors that influence aerobic physical activity among Korean adults, including sociodemographic characteristics, health behavior, health status, social relationships, community satisfaction, and to find ways to increase aerobic physical activity among adults. Methods: In 2019, 191,152 adults in the Community Health Survey were analyzed, and complex sample frequency analysis, Rao-Scott test and complex sample logistic regression analysis were conducted by dividing them into the presence or absence of aerobic physical activity practice. Results: The rate of aerobic physical activity among adults was 36.0%, and males were higher than females. Among individual factors, gender, age, income level, smoking, drinking, weight control attempt, frequency of breakfast, obesity, quality of life, and subjective health status were factors that had a significant effect. Among social relationship factors, leisure activities and contact with neighbors at least once a week were significant factors, and only overall safety level satisfaction was a factor that had a significant effect on physical activity practice in community satisfaction factors. Conclusion: Programs focused on personal factors, social relationships, and networks should be strategically developed to improve the participation rate of adult aerobic physical activities, indicating the importance of these factors over community infrastructure. To development of community-centered professional integrated health education will be necessary in the future.
In a digital environment that is keep in change content from smart phones to tablet PC are a social network service is holding deep place in our lives. Social networking applications has building a network and communication with others than other application, it means that Social networking applications are sharing not only personal purpose in that trend of variety and competition of these social networks can be expected to trend and be developed thru analysis of user certification. this study of social network service application is proposed to developing of application thru analyze the two-effective application which is high ranked in google store. the theoretical foundation was set based on the seven elements of the social network service of the information structures designed by Jean Smith. This study proceeded analysis is for the functional elements of Facebook and Instagram, and the advantages and disadvantages through survey research. As a result of the empirical analysis to user of Instagram and face book of communication, identity, satisfaction for the group are equally. Instagram is about the presence, reputation, and Facebook has had a high level of satisfaction for each sharing and relationship. Facebook got high satisfaction from sharing features, but user feel of discomfort in the randomly showing advertising content. Instagram is not showing off advertise on common page of content, it is good point to be complementary to facebook. And, Instagram hashtag is good for convenience, but satisfaction is high with Facebook. in order to increase the satisfaction of Instagram, it is necessary to consider the main advantage of the communication and the functional aspects of the share from facebook.
Journal of The Korean Society of Integrative Medicine
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v.10
no.1
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pp.137-147
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2022
Purpose : The purpose of this study is to investigate how the existence of companion animals and the type of companion animals affect the quality of life and emotional stability of adults in their 20s. Methods : The subjects of this study were adults in their twenties living in Busan who could understand the method of this study. The survey method was conducted with a questionnaire, consisting of 4 questions on general characteristics, 26 questions on quality of life, and 20 questions on emotional stability for a total of 50 questions. An independent t-test and one-way ANOVA were used to verify the difference in quality of life and emotional stability according to general characteristics. Results : As a result of analyzing the difference in the quality of life of the study subjects, the case of having a companion animal scored statistically significantly higher in the satisfaction of the physical domain, psychological domain, living environment domain, overall quality of life domain, and social domain. In addition, there was a statistically significant difference in the case of companion animals according to the type of companion animal. However, there was no statistical significance in the analysis of differences in emotional stability of study subjects according to the presence or absence of companion animals. Conclusion : This study was conducted with 400 adults in their twenties to determine the effects of the presence and absence and type of companion animals on the quality of life and emotional stability of adults in their twenties. As a result, the group with companion animals showed higher satisfaction scores than the group without companion animals in terms of quality of life. This suggests that raising companion animals for adults in their 20s has a positive effect on improving their quality of life. Therefore, it can be recommended for the physical, psychological, and social health of adults in their 20s.
Journal of the Korea Knowledge Information Technology Society
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v.13
no.3
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pp.305-317
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2018
This study is about the elderly people's use and experience of Virtual Reality (VR) in order to enhance their quality of life. Leisure is main activity of the elderly. As a result, the quality and diversity of leisure affects the quality of the elderly people's life. VR services including video contents could provide them with advanced and interesting experiences. Across the world, population aging becomes one of the most important problems in each society. The social and economic burden of aging is serious challenge to sustainability welfare of the world, including S. Korea. The authors used virtual reality devices to conduct experiments on 99 aged 50 to 90 (men's average age : 75 and women's average age : 70.8). Through the survey, major variants were measured such as system quality, present sense, enjoyment, intent to reuse, and awareness of advanced technology. Multiple regression analyses with the presence as a dependent variable resulted in a sense of closeness (t = 5.381, p <. 01) and a sense of clarity (t = 4.494, p <. 01). The presence of an independent variant had significant effects on pleasure (t = 4.312, p <. 01) and significant effects on the intent to reuse (t = 3.323,).Therefore, it can be interpreted that the higher the sense of existence, the more pleasure and the intent to reuse it. As a result, the possibility of using VR devices and content to enjoy leisure activities can be found in this study even if the elderly group is unfamiliar with IT devices.
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