• Journal of Korean Academy of Nursing
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• v.29 no.5
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• pp.1049-1057
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• 1999

The central concept of the Salutogenic Model is sense of coherence, which is defined as a global orientation that expresses the extent to which one has a feeling of confidence that one's internal and external environments are comprehensible, manageable, and meaningful. Sense of coherence is proposed as a determinant of positive health consequences and successful coping. The purpose of this article is to review Antonovsky's Salutogenic Model, the concept of sense of coherence, and its central components and sources. For conceptual clarity, sense of coherence is compared and contrasted with the concept of hardiness. The empirical research findings are integrated to better understand sense of coherence and to enhance future implications for nursing research and practice.

• Journal of Environmental Impact Assessment
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• v.15 no.6
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• pp.385-394
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• 2006

Land resources should be managed not only for human utilizations but also for environmental preservation. Based on that, environmental capacity should be estimated in both environmental and developmental ways. This study was performed for developing an estimation model for relative environmental capacity, considering both Development Tolerance Index(DTI), which shows environmental and ecological conservation value and is based on national environmental assessment indicators of the Korea Ministry of Environment, and Development Attractiveness Index(DAI), which shows topographical characteristics and geographical accessibility. The relative environmental capacity in this study can be helpful to coping with the conflict in planning and managing the use of land resources. The relative environmental capacity in this study, however, did not include either environmental or ecological sensitivity of land resources. This limitation should be solved through further research.

• Korean Journal of Adult Nursing
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• v.23 no.3
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• pp.209-220
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• 2011

Purpose: This study aimed to develop a model that describes factors influencing meaning in life among the middle-aged in Korea, and to verify the appropriateness of the model. Methods: The participants were 424 middle-aged residents of Daegu city, Korea. The data were collected through a structured questionnaire from October 4 to 30, 2010 and analyzed using SPSS/WIN 18.0 and LISREL 8.30. Results: Reported life satisfaction and religion had observed to have a significant direct effect on meaning in life, and coping behavior and self-esteem exhibited significant direct and indirect effect. In addition, depression, economic status, and life stress had a significant indirect effect on meaning in life. Life satisfaction was the most influential factor, and all of these variables explained 53% of the variances in meaning in life among the middle-aged. Conclusion: The findings from this study add to the body of knowledge about the factors that influence meaning in life and need further study. The variables in this study could be used as part of the assessment of the middle-aged.

• Nuclear Engineering and Technology
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• v.46 no.6
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• pp.753-772
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• 2014

The paper presents functional modelling and its application for diagnosis in nuclear power plants. Functional modelling is defined and its relevance for coping with the complexity of diagnosis in large scale systems like nuclear plants is explained. The diagnosis task is analyzed and it is demonstrated that the levels of abstraction in models for diagnosis must reflect plant knowledge about goals and functions which is represented in functional modelling. Multilevel flow modelling (MFM), which is a method for functional modelling, is introduced briefly and illustrated with a cooling system example. The use of MFM for reasoning about causes and consequences is explained in detail and demonstrated using the reasoning tool, the MFMSuite. MFM applications in nuclear power systems are described by two examples: a PWR; and an FBR reactor. The PWR example show how MFM can be used to model and reason about operating modes. The FBR example illustrates how the modelling development effort can be managed by proper strategies including decomposition and reuse.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.5
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• pp.16-22
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• 2011

This paper presents the multi-object tracking approach using the background difference and particle filtering by monte carlo sampling. We apply particle filters based on probabilistic importance sampling to multi-object independently. We formulate the object observation model by the histogram distribution using color information and the object dynaminc model for the object motion information. Our approach does not increase computational complexity and derive stable performance. We implement the whole Bayesian maximum likelihood framework and describes robust methods coping with the real-world object tracking situation by the observation and transition model.

• Journal of Families and Better Life
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• v.28 no.5
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• pp.75-88
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• 2010

This study analyzed a family therapy case which dealt with family violence and was consisted of 14 sessions. The therapeutic perspective for this case was MRI model, a strategic family therapy model which emphasizes attempted solutions and interactions. The results of this study were as follows. This study found the interaction process of occurring family violence. When the husband attempted conversations with his wife after drinking, the wife who was anxious and dreadful avoided conversation. This avoidance made the husband felt rejected feeling, and he battered his wife. The avoidance of conversation, an attempted solution of wife, was made from her frame of reference which was affected from her original family context and the couple's communication style in ordinary times. The therapist made the couple recognize their attempted solutions were not effective, and he helped them begin new solutions or coping behaviors. This intervention process was long and hard, but the couple changed their attempted solutions to new solutions which were clear communication styles and functional interaction process. This study results showed the effectiveness of couple therapy on family violence. The effectiveness of MRI model was also proved from the study. The results of study will be helpful to the family therapists and counsellors in the field of family violence.

• Asian Oncology Nursing
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• v.11 no.2
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• pp.101-107
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• 2011

Purpose: This study was to understand and explain the adjustment of cancer patients receiving chemotherapy. Variables in this model were social support, uncertainty, resilience and coping. Methods: The data were collected for approximately five months from May through to September 2006 with cancer patients receiving chemotherapy or cancer patients finished chemotherapy using self-administered questionnaires. Descriptive statistics program, Amos 5.0, was employed to verify the goodness of the hypothetic model and the hypotheses formulated in the study. Results: The fitness of the finalized model turned out to be improved ($X^2$=332.644, df=70, GFI= .809, AGFI= .714, RMSEA= .138, AIC=402.644). Those variables made a 60.8% prediction of the patients adjustment. Conclusion: The hypothetic model presented in the study could serve to explain the adjustment of cancer patients receiving chemotherapy. Moreover, the use of the conceptual framework of the theory of planned nursing intervention would be very worthwhile as a strategy to boost the adjustment of cancer patients when receiving chemotherapy.

• Journal of the Society of Naval Architects of Korea
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• v.61 no.2
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• pp.98-105
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• 2024

Due to the low accuracy of measured data obtained from low-cost GNSS and IMU devices, it was hard to secure the required accuracy of the measured position and heading angle for autonomous navigation which was conducted by a model-scale marine mobility. In this paper, a localization technique using the Extended Kalman Filter (EKF) is proposed for coping with the issue. First of all, a position and heading angle estimator is developed using EKF with the assumption of a point mass model. Second, the measured data from GNSS and IMU, including position, heading angle, and velocity are used for the estimator. In addition, the heading angle is additionally obtained by comparing the LiDAR point cloud with map information for a temporal water tank. The newly acquired heading angle is integrated into the estimator as an additional measurement to correct the inaccuracy in the heading angle measured from the IMU. The effectiveness of the proposed approach is investigated using data acquired from preliminary tests of the model-scale autonomous marine mobility.

• Journal of agricultural medicine and community health
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• v.42 no.2
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• pp.57-68
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• 2017

Objectives: This study was performed to build the predictive model of suicidal ideation of elderly men living alone. Methods: As for the subject, 251 subjects suitable for the selection criteria were selected among elderly men living alone above 65 years old in one region in Gyeongnam and three regions in Gyeongbuk. The data were collected via questionnaires and analyzed using SPSS version 20.0 and Amos version 18.0. Results: The goodness-of-fit test result of hypothetical model were suitable for recommended level: ${\chi}^2/df=1.47$, RMR=.04, GFI=.92, AGFI=.90, CFI=.95, IFI=.95, RMSEA=.04. Self-esteem, individual coping, family cohesion, social support, social activity, and depression explained 55% of the model of suicidal ideation. The most influential direct factor of suicidal ideation was self-esteem, and social isolation was the most influential indirect influence on suicidal ideation. Conclusion: To sum up the above results, if we promote the researched variables of self-esteem, family cohesion, social activity, individual coping and social support in addition to developing and utilizing an efficient customized suicidal prevention nursing intervention program thereby reducing depression and social isolation, suicidal ideation of elderly men living alone would be prevented.

• Child Health Nursing Research
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• v.20 no.1
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• pp.1-10
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• 2014

Purpose: The purposes of the study were to develop and test a model which explains the relationship among factors affecting behavioral problems in elementary school children. Methods: The participants for the study were 368 elementary school children and their mothers at 3 elementary schools in one city. Data analysis was done using the SPSS 17.0 program for t-test, -test, and ANOVA and the AMOS 17.0 program for theoretical model testing. Results: The theoretical model showed a significant goodness of fit to the empirical data (Goodness of Fit Index: .96, Adjusted Goodness of Fit Index: .93 Comparative Fit Index: .95, Root Mean Square Error of Approximation: .06, Standardized Root Mean Square Residual: .02). Six paths were found to be statistically significant including from child rearing attitude to self-esteem, stress, stress coping and behavioral problems, and from self-esteem to stress and behavioral problems. Child rearing attitude showed a significant effect to behavioral problems by total effect. Self-esteem affected behavioral problems by total and direct effects. Conclusion: Child rearing attitude and selfesteem of children are important factors affecting behavioral problems in elementary school children.