The objective of this study was to determine the effects of self-differentiation and ego-resilience on service maladjustment behaviors of Social Service Agent. To achieve this, we chose these research questions. To verify these research questions, data were collected by distributing 470 questionnaires to Social Service Agent serving in service organizations located in Seoul. Four hundred twenty-seven surveys were used for statistical analysis. The results of this study are as follows: First, Social Service Agents were shown to generally adjust well to service, as self-differentiation and ego-resilience were slightly higher than the median, while service maladjustment behavior was slightly lower than the median. Second, when the effects of sociodemographic characteristics, self-differentiation and ego-resilience on service maladjustment behavior were studied, all values of sociodemographic characteristics, self-differentiation and ego-resilience affected all lower factors of service maladjustment behavior with significance. For social withdrawal, the effectiveness of interpersonal relations, optimistic attitude, and the degree of family regression had a negative correlation, and emotional divorce, education level, and term of service had a positive correlation. The degree of family regression, anger management, and cognitive function vs. emotional function had a negative correlation with hyperactivity while self unity had a positive one. Family regression, cognitive function vs. emotional function, anger management, and family's economic level negatively correlated with aggression. Family regression, optimistic attitude, cognitive function vs. emotional function, family's economic level and term of service had a negative correlation with obsession and compulsion.
The purpose of this study was to investigate the employment possibility of the humanities college graduates to science and engineering field occupations, and to identify the occupational characteristics related to employability perceived by workers. To do this, basic statistical analysis, correlation analysis, and hierarchical multiple regression analysis were conducted using the data surveyed on 2,600 workers in the science and engineering field in the 'Research on Korean Occupational Index for Career and Employment Service(2017)'. The main results are as follows. First, the employment possibility of the humanities college graduates to science and engineering field was low, except for some occupations in the information communication, manufacturing and processing fields. Second, the occupational characteristics affecting the employment possibilities of the humanities college graduates to science and engineering field are as follows: low importance of the final education, low importance of the major, low importance of qualification, high importance of vocational training, easy to return after the career break, high level of gender equality, high level of pleasant work environment, high employment retention, easy to self-employment or start-up, and increasing number of jobs. Based on the results of this study, to support employment of humanities college graduate from the occupational aspect, it is necessary to find out some detailed jobs or to develop convergence occupations. At this time, it is possible to utilize the occupational characteristics factors that increase the employment possibility of humanities college graduates to science and engineering occupations.
The objective of this study was to investigate the influence of family-related factors and age-friendly environment on intergenerational interaction in middle-aged group and the older adult group. Based on the results, this study is to suggest countermeasures for decreasing intergenerational interaction with the population aging. This study analyzed 260 sample participants aged from 45 to 64 and 399 sample participants aged 64 and more, categorizing them into middle-aged group and the older adult group respectively. The sample participants were taken from '2014 Survey on the Aged Society' and had at least one adult child aged over 18 at the time of participation. In order to identify the relationship between five sub-dimensions related to family, age-friendly environment and intergenerational interaction within the family in two age groups, t-test and multiple regression analysis were used. As a result, both two family-related factors had positive correlation with intergenerational interaction within the family. However, affective solidarity showed a higher significance in the middle-aged group and familism showed a higher significance in the older adult group. Among the sub-dimensions related to age-friendly environment, only personal opinion on age integration showed significance in the older adult group. This study provides several implications from the results.
Kim, Sangdae;Kim, Cheonyong;Cho, Hyunchong;Jung, Kwansoo;Oh, Seungmin
KIPS Transactions on Computer and Communication Systems
/
v.9
no.11
/
pp.256-264
/
2020
Industrial Wireless Sensor Networks (IWSNs) is exploited to achieve various objectives such as improving productivity and reducing cost in the diversity of industrial application, and it has requirements such as low-delay and high reliability packet transmission. To accomplish the requirement, the network manager performs graph construction and resource allocation about network topology, and determines the transmission cycle and path of each node in advance. However, this network management scheme cannot treat mobile devices that cause continuous topology changes because graph reconstruction and resource reallocation should be performed as network topology changes. That is, despite the growing need of mobile devices in many industries, existing scheme cannot adequately respond to path failure caused by movement of mobile device and packet loss in the process of path recovery. To solve this problem, a network management scheme is required to prevent packet loss caused by mobile devices. Thus, we analyse the location and movement cycle of mobile devices over time using machine learning for predicting the mobility pattern. In the proposed scheme, the network manager could prevent the problems caused by mobile devices through performing graph construction and resource allocation for the predicted network topology based on the movement pattern. Performance evaluation results show a prediction rate of about 86% compared with actual movement pattern, and a higher packet delivery ratio and a lower resource share compared to existing scheme.
The total fertility rate of Korea was 1.05 in 2017, showing a return to the 1.08 level in the year 2005. 1.05 is a very low fertility level that is far from replacement level fertility or safety zone 1.5. The number may indicate a low fertility trap. It is therefore important to predict fertility than at any other time. In the meantime, we have predicted the age-specific fertility rate and total fertility rate by various statistical methods. When the data trend is disconnected or fluctuating, it applied a nonparametric method applying the smoothness and weight. In addition, the Bayesian method of using the pre-distribution of fertility rates in advanced countries with reference to the three-stage transition phenomenon have been applied. This paper examines which method is reasonable in terms of precision and feasibility by applying estimation, forecasting, and comparing the results of the recent variability of the Korean fertility rate with parametric, non-parametric and Bayesian methods. The results of the analysis showed that the total fertility rate was in the order of KOSTAT's total fertility rate, Bayesian, parametric and non-parametric method outcomes. Given the level of TFR 1.05 in 2017, the predicted total fertility rate derived from the parametric and nonparametric models is most reasonable. In addition, if a fertility rate data is highly complete and a quality is good, the parametric model approach is superior to other methods in terms of parameter estimation, calculation efficiency and goodness-of-fit.
This research explored cognitive emotion regulation strategy, behavioral emotion regulation strategy, and experiential emotion regulation strategy, each moderating effect in the relationship between maladjustment schema and marital satisfaction. The data was analyzed through hierarchical multiple regression analysis. The results of the study are as follows: the regression analysis showed the moderating effects for adaptive emotion regulation strategy on the relationship between the maladjustment schema and marital satisfaction. The result showed the selection of 'Disconnection and Rejection', 'Impaired autonomy and Performance', 'Other-Directedness', 'Overvigilance and Inhibition' as maladjustment schema variables affecting marital satisfaction via cognitive emotion regulation strategy, that of 'Disconnection and Rejection', 'Impaired autonomy and Performance', 'Other-Directedness' as maladjustment schema variables affecting marital satisfaction via behavioral emotion regulation strategy, and that of 'Impaired limits', 'Impaired autonomy and Performance', 'Other-Directedness', 'Overvigilance and Inhibition' as maladjustment schema variables affecting marital satisfaction via experiential regulation strategy. Finally, the clinical implication and limitation of this study and suggestion for future studies were also discussed.
Kim, Sun Jung;Shen, Jay;Ko, Eunjeong;Kim, Pearl;Lee, Yong-Jae;Lee, Jae Hoon;Liu, Xibei;Ukken, Johnson;Kioka, Mutsumi;Yoo, Ji Won
Journal of Hospice and Palliative Care
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v.21
no.1
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pp.23-32
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2018
Purpose: Little is known regarding the extent to which dying patients with chronic obstructive pulmonary disease (COPD) receive life-sustaining procedures and palliative care in U.S. hospitals. We examine hospital cost trends and the impact of palliative care utilization on the use of life-sustaining procedures in this population. Methods: Retrospective nationwide cohort analysis was performed using National Inpatient Sample (NIS) data from 2005 and 2014. We examined the receipt of both palliative care and intensive medical procedures, defined as systemic procedures, pulmonary procedures, or surgeries using the International Classification of Diseases, 9th revision (ICD-9-CM). Results: We used compound annual growth rates (CAGR) to determine temporal trends and multilevel multivariate regressions to identify factors associated with hospital cost. Among 77,394,755 hospitalizations, 79,314 patients were examined. The CAGR of hospital cost was 5.83% (P<0.001). The CAGRs of systemic procedures and palliative care were 5.98% and 19.89% respectively (each P<0.001). Systemic procedures, pulmonary procedures, and surgeries were associated with increased hospital cost by 59.04%, 72.00%, 55.26%, respectively (each P<0.001). Palliative care was associated with decreased hospital cost by 28.71% (P<0.001). Conclusion: The volume of systemic procedures is the biggest driver of cost increase although there is a cost-saving effect from greater palliative care utilization.
The subsistence economics of the early Bronze Age has focused on explaining the intensity of agricultural practices without sufficiently taking into account the diversity of production methods that may arise from cultural types or environmental factors. The problem appears to stem from paying insufficient attention to the question whether we should understand the transition from the Neolithic Age to the Bronze Age as continuous or discrete. This has hitherto blocked an avenue to investigate the gradual changes in subsistence resource production methods. Taking as its premise that changes in the production methods of subsistence resources in the Bronze Age have been continuous and gradual, this paper seeks to restore the production patterns of subsistence resources according to the variety of factors that may have influenced the early Bronze Age production method. With diverse cultural patterns and ecological spaces of the early Bronze Age being confirmed, the work of restoring the production methods of subsistence resources in a specific period is difficult to achieve with one or two stand-alone analyses. A more appropriate method would involve separating a number of different aspects related to the production of subsistence resources, analyzing and interpreting each, and in the final stage, synthesizing the analyses. The specific research method employed in this paper checked for compositional differences in stone production tools, functionally categorized according to a variety of factors that have a close relationship with the production of subsistence resources: cultural-environmental factors and cultural patterns, geographical and topographical factors, soil productivity, and size of settlement. The results of the analysis are as follows: for the early Bronze Age production pattern of subsistence resources in the Seoul and Gyeonggi regions, while no substantive differences were observed with respect to cultural type, geographical and topographical location, the results show statistically significant differences in the composition of production tools according to settlement size and soil productivity. Also, with an increasing ratio of settlement size and total production soil, increases in hunting and armoring tools, woodworking tools, and harvesting tools were observed; on the other hand, when it came to the ratio of fishing tools, the opposite relationship was observed. While a correlation between settlement size or crop cultivation productivity and dependence on hunting or farming was expected, the results of the regression analysis show that settlement size and soil productivity ratios do not have mutually significant relationships. The results thus illustrate that patterns of production differ according to a variety of factors, and no single factor is decisive in the adoption of subsistence resource production methods by a specific settlement. Therefore, the paper emphasizes the need to investigate the production patterns of subsistence resources according to the variety of cultural and environmental factors that make up settlements in early Bronze Age society.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.17
no.2
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pp.115-128
/
2022
This research aims to analyze of the Effect of Army Start-up Support Program (hereinafter, ASSP) on the level of discharged or scheduled to be discharged soldier's satisfaction of their military service. In addition, this paper also seeks to elaborate on how those Army-supported programs, such as Start-up competitions, mentoring, camp, and school, can increase the level of military service satisfaction. By participating in those programs, service members can leverage their time in the military to make opportunity for their future career rather than consider it as a career break, increasing their military service satisfaction. Finally, on the basis of findings, this paper advocates for expanding Service Members startup Support Program of government agencies and municipalities and enhancing younger population's individual capabilities through ASSP. This research used ASSPs, such as Army Start-up competitions, mentoring, camp, and school, as independent variables. For controlled variables, this paper takes demographic elements such as status and career path of the participants. Our empirical analysis reveals that ASSP has a direct impact on the military service satisfaction, supported by the statistics from the hierarchical regression analysis. However, the research also suggests that individual' military service satisfaction from ASSP may differ from one another in accordance with the controlled variables such as status and career of the participants. This paper proves that ASSP can play a substantial role in enhancing service members' capabilities during their time in military and that Army fosters talent and connects itself to the nation and society. In addition, this research could contribute to increasing employment rate of and expanding Start-up support program of government agencies and municipalities for younger population by providing empirical results which advocates the latter's necessity.
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