• Women's Health Nursing
• /
• v.28 no.2
• /
• pp.100-111
• /
• 2022

Purpose: Based on the theory of unpleasant symptoms (TOUS), this study aimed to examine the direct effect of antecedent factors on health-related quality of life (HRQoL) and its indirect effect via symptoms in Korean women during the late menopausal transition (MT) and early postmenopause. Methods: This cross-sectional survey employed a descriptive correlational research design. The respondents were 152 middle-aged women 40 to 60 years with an intermenstrual interval of 60 days or more (late MT) or less than 5 years from the last menstrual period (early postmenopause). The respondents were recruited through convenience sampling in Busan, Korea, from December 1, 2020, to January 31, 2021. Based on the TOUS, self-report data were collected on perceived health status, psychological distress, social support, menopausal symptoms, and HRQoL. The collected data were analyzed using descriptive statics, independent t-test, one-way analysis of variance, Pearson's correlation coefficient, and the Hayes' PROCESS macro. Results: TOUS was supported on this sample (n=152) of Korean women during the late MT and early postmenopause. Perceived health status, psychological distress, and social support had significant direct relationships with HRQoL. Menopausal symptoms had significant indirect relationships between antecedent factors (perceived health status, psychological distress, and social support) and partially mediated HRQoL. Conclusion: The findings of this study indicate that menopausal symptoms play an important role as an intervening factor of HRQoL in women during the late MT and early postmenopause. Therefore, women need an integrated program that manages antecedent factors and menopausal symptoms to improve HRQoL in these menopausal stages.

• Journal of Computing Science and Engineering
• /
• v.5 no.4
• /
• pp.288-293
• /
• 2011

To resolve ambiguities in speech act classification, various machine learning models have been proposed over the past 10 years. In this paper, we review these machine learning models and present the results of experimental comparison of three representative models, namely the decision tree, the support vector machine (SVM), and the maximum entropy model (MEM). In experiments with a goal-oriented dialogue corpus in the schedule management domain, we found that the MEM has lighter hardware requirements, whereas the SVM has better performance characteristics.

• Management Science and Financial Engineering
• /
• v.19 no.1
• /
• pp.1-10
• /
• 2013

Hierarchical forecasting strategy does not always outperform direct forecasting strategy. The performance generally depends on demand features. This research guides the use of the alternative forecasting strategies according to demand features. This paper developed and evaluated various classification models such as logistic regression (LR), artificial neural networks (ANN), decision trees (DT), boosted trees (BT), and random forests (RF) for predicting the relative performance of the alternative forecasting strategies for the South Korean navy's spare parts demand which has non-normal characteristics. ANN minimized classification errors and inventory costs, whereas LR minimized the Brier scores and the sum of forecasting errors.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.2
• /
• pp.49-60
• /
• 2021

The purpose of this study was to examine the introduction of certification evaluation system for quality management of extracurricular program of Duksung Women's University. The research method was composed of two procedures, such as literature analysis and expert meetings. The contents of the study consisted of the accompanying conditions for the introduction of the certification evaluation system to implement the quality management of the extracurricular programs, which is operated in various ways in order to support the reinforcement of students' learning competencies at Duksung Women's University, according to a more formal level and a systematic flow. As a result of the study, the 「Regulations on the Evaluation of Extracurricular Program Certification」 is not only the main foundation for actualizing the link flow between continuous monitoring of extracurricular programs and annual performance evaluation, but also the common points for each university that is establishing the integrated management support system of comparative programs including Duksung Women's University.

• Journal of Korean Society of Rural Planning
• /
• v.23 no.3
• /
• pp.163-174
• /
• 2017

This study developed the prototype of the system and implemented its main functions, which is the intelligent integrated agricultural water management information system and service (IaWAMISS). The developed system was designed to be able to collect, process and analyze the agricultural water information of spatially dispersed reservoirs in whole country and spatial geographic information distributed in various systems of other organizations. The system, IaWAMISS, is also possible to provide the reproduced information services in each reservoir and space units, such as agricultural water demand and supply analysis and drought prediction, to the people, experts, and policy makers. This study defined the 6 step modules to develop the system, which are to design the components of intelligent integrated information system, to derive the utilization contents of existing systems, to design the new development elements for IaWAMISS, to design the reservoir information system can be used by managers of city and county, to designate the monitoring reservoirs managed by city and county, and finally to prepare the sharing system between organizations with the existing information systems. In order to implement the prototype of the system, this study shows the results for three important functions of the system: spatial integration of reservoirs' information, data link integration between the existing systems, and intelligent analysis program development to assist decision support for agricultural water management. For the spatial integration with the reservoir water information of the Korea Rural Community Corporation, this study get IaWAMISS to receive the real-time reservoir storage information from the measurement facility installed in the municipal management reservoir. The data link integration connecting databases of the existing systems, was implemented by integrating the meteorological information of the Korea Meteorological Administration with IaWAMISS, so that the rainfall forecast data could be derived and used. For the implementation of the intelligent analysis program, this study also showed the results of analysis and prediction of agricultural water demand and supply amount, estimation of Palmer drought index, analysis of flood risk area in typhoon course region, and analysis of the storage status of reservoirs related to each storm. This study confirmed the possibility and efficiency of an useful system development through the prototype design and implementation of IaWAMISS. By solving the preliminary 6 step modules presented in this study, it is possible not only to efficiently manage water by spatial unit, but also to provide the service of information and to enhance the relevant policy and national understanding to the people.

• Journal of agricultural medicine and community health
• /
• v.49 no.2
• /
• pp.132-145
• /
• 2024

Objectives: This study compares cases of Dalgubeol Health Care Project, 301 Network Project, and 3 for 1 Project based on program logic models to derive measures for promoting integrated healthcare and welfare services centered around medical institutions. Methods: From January to December 2021, information on the implementation systems and performance of each institution was collected. Data sources included prior academic research, project reports, operational guidelines, official press releases, media articles, and written surveys from project managers. A program logic model analysis framework was applied, structuring the information based on four elements: situation, input, activity, and output. Results: All three projects aimed to address the fragmentation of health and welfare services and medical blind spots. Despite similar multidisciplinary team compositions, differences existed in specific fields, recruitment scale, and employment types. Variations in funding sources led to differences in community collaboration, support methods, and future directions. There were discrepancies in the number of beneficiaries and medical treatments, with different results observed when comparing the actual number of people to input manpower and project cost per beneficiary. Conclusions: To design an integrated health and welfare service provision system centered on medical institutions, securing a stable funding mechanism and establishing an appropriate target population and service delivery system are crucial. Additionally, installing a dedicated department within the medical institution to link activities across various sectors, rather than outsourcing, is necessary. Ensuring appropriate recruitment and stable employment systems is needed. A comprehensive provision system offering services from mild to severe cases through public-private cooperation is suggested.

• Journal of Hospice and Palliative Care
• /
• v.18 no.2
• /
• pp.136-147
• /
• 2015

Purpose: This study was conducted to evaluate the effects of integrated palliative care intervention on quality of life in terminally ill patients. Methods: A comprehensive literature search was performed via PubMed, Cochrane Library CENTRAL, LWW (Ovid), CINAHL and several Korean databases. The main search strategy was to combine terms indicating palliative care intervention, presence of terminal illness and study design. Methodological quality was assessed using Cochrane's Risk of Bias for randomized studies and Risk of Bias Assessment tool for non-randomized studies. Data were analyzed by the Stata 10 program. Results: Eight clinical trials met the inclusion criteria with a total of 356 participants. Integrated palliative care interventions were administered for a mean of 6.5 weeks, 5.6 sessions and an average of 47.8 minutes per session. Effect sizes were heterogeneous, and subgroup analysis was done. Integrated palliative care interventions had a significant effect on quality of life (ES=1.83, P=0.018, $l^2=92%$), spiritual well-being (ES=0.78, P=0.040, $l^2=0$), depression (ES=0.86, P<0.001, $l^2=32$) and anxiety (ES=0.69, P=0.041, $l^2=71.1$). But integrated palliative care interventions had no significant effect on pain (ES=0.365, P=0.230, $l^2=69.8$). Conclusion: Results support findings that integrated palliative care interventions were helpful in lessening depression and anxiety and improving quality of life and spiritual well-being, however, the interventions did not assist pain management in terminal cancer patients. These findings suggest that various integrated palliative care interventions can assist terminal cancer patients with better quality of life in the socio-psycho-spiritual dimension.

• The Journal of Society for e-Business Studies
• /
• v.10 no.1
• /
• pp.41-60
• /
• 2005

IDEF(Integrated Definition) method, a standard methodology of CALS process modelling, was applied to the weapon system R&D process to provide information modelling by analysing about goal, input, output and constraints in the R&D process. The information to be managed in R&D institutes was identified by using SmartER which is the automation program of IDEF1/1X and obtained information modelling for TO-BE model. The work process of weapon system R&D consists of the concept study phase, the exploration development phase, the system development phase, the prototype manufacturing phase, and the report writing of R&D results phase. The information modelling of weapon system R&D is the R&D work process with information sharing by means of IWSDB Since IDEF is suitable for large scale system development like weapon system R&D, further studies on IDEF would be required to achieve the goal of defense CALS.

• Korea Journal of Hospital Management
• /
• v.18 no.4
• /
• pp.54-77
• /
• 2013

This paper is a comparison study about leadership training transfer factors between physicians working in large scale hospitals and managers working in firms. To fulfill this purpose, this study conducted a regression analysis on 101 managers and 59 physicians who had attended similar leadership training programs more than 16 hours recently in order to identify the differences on the learning transfer factors. 6 factors such as Learner readiness, Performance self-efficacy, (so far as Trainee Characteristics group), Organization Culture, Supervisor's tangible incentives and Supervisor's intangible support, (so far as Work environment group), Content Validity & Transfer Design (so far Training Design group) were used as independent variables while the personal Managerial Capability Increase and Leadership Capability Increase were used as dependent variables. And also we used 5 factors as control variables ; Job style (Manager or Physician), Age, Gender, Working years and Organization size. Here are the summary of major findings ; first, there were statistically significant differences between the learning transfer factors in leadership training programs for managers and those of physicians. Second, there were also statistically significant differences among trainees' working years and their organization size factors while age and gender do not affect the learning transfer factors. Third, for the physician's leadership training the practitioners should focus on two factors ; Organization Culture and Learner readiness.

• Information Systems Review
• /
• v.8 no.1
• /
• pp.287-303
• /
• 2006

Recently, Investment on HRM, particularly, on training and development, in companies has been increased. Therefore, HR managers pay attention to action learning that has the practical effect on performance. The purpose of this study is to introduce action learning as an efficient training method and simultaneously to raise operational issues from the case study. This study analyses a training and development program applying action learning for team manager candidates in corporate Hyosung from September, 2005 to January, 2006. The findings are as follows: First, inefficient processes are thrown out by the process reengineering applying action learning. Second, the training and development activity is maximized by the integrated use of internal and external facilitators. Third, the steady support of executives and the driving force of HRD managers are considered as main success factors.