• Journal of the Korea Society of Computer and Information
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• v.22 no.12
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• pp.163-170
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• 2017

The purpose of this study is to introduce policy and theoretical implications by analyzing affecting factors for the elder's happiness. For this study, we analyzed data using HLM. Data include a world value survey(hereafter, WVS) as personal level analysis data and also OECD's Social Expenditure Database(hereafter, SOCX) and database from the World Bank as national level analysis data. The subjects of personal level analysis were the elder who are over 65-years od age, and they were total 3,297 people, and while the subjects of national level analysis were total 9 OECD countries. For the data analysis, hierarchial linear model(HLM) analysis was done by using HML 7.0 program. As a result of analysis, First, for the elderly's happiness, they should improve self-disposition, members of social groups, and social class. Second, the old-age pension and the survivor's pension had no meaningful effect on the happiness. but it was found that self - disposition, social class, gender, and health status showed meaningful interaction effect according to old - age pension, survivor pension, per capita GDP, income inequality. This suggests that efforts to improve the happiness of the elderly should be made at the individual level and the national level at the same time.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.1
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• pp.130-136
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• 2009

Estimation of mortality behavior of a industrial property are useful for calculating depreciation and making management decisions relating to property. The common methods of computing depreciation require an estimation of service life, and some methods may require an estimate of life expectancy. Estimation of service life and life expectancy can be computed from a smoothed and extended life table of original life tables developed through life analysis techniques. Several actuarial techniques are available to construct a life table for depreciation application. Of these methods, the graphic approach and graduation by mathematical formula are the most widely used in the field of depreciation. A commonly used technique of smoothing and of extending the life table is to fit a lows type survivor curves to the observed retirement rate by the least square method. In this paper, estimates of depreciation rate based on directly observed data of the domestic petrochemical equipments are presented.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.8
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• pp.4571-4576
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• 2013

Background: Depression is a comorbid disabling problem and potentially affects patient likelihood of survival. The aims of this study were to recognize the characteristics of depression and investigate associated predictor factors in patients with oral cancers. Methods: A cross-sectional and correlational design was used to collect data for this study conducted in northern Taiwan. A set of questionnaires was used to measure depression, symptom distress, performance status, social support, and demographic and disease-related information. Logistic regression was conducted to determine important factors predicting depression. Results: A total of 132 oral cancer patients participated in this study. Of these, 18.2% were identified as depression cases. The patient average performance status score was 90 or higher. Patients reported mild-to-moderate levels of symptom distress. The majority of social support was from families. Religious belief, alcohol use, symptom distress, and social support from family were found to be important factors predicting depression. Patients with religious belief with alcohol use reported greater symptom distress, and those with lower levels of social support from families were significantly more likely to develop depression. Conclusions: Clinicians should assess patient emotional status and manage symptoms in a timely manner to enhance coping abilities. Supportive care provides assurance during the acute survivor phase.

• Journal of Korean Academy of Nursing
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• v.46 no.1
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• pp.50-58
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• 2016

Purpose: The purpose of this study was to identify the knowledge structure of cancer survivors. Methods: For data, 1099 articles were collected, with 365 keywords as a Noun phrase extracted from the articles and standardized for analyzing. Co-occurrence matrix were generated via a cosine similarity measure, and then the network analysis and visualization using PFNet and NodeXL were applied to visualize intellectual interchanges among keywords. Results: According to the result of the content analysis and the cluster analysis of author keywords from cancer survivors articles, keywords such as 'quality of life', 'breast neoplasms', 'cancer survivors', 'neoplasms', 'exercise' had a high degree centrality. The 9 most important research topics concerning cancer survivors were 'cancer-related symptoms and nursing', 'cancer treatment-related issues', 'late effects', 'psychosocial issues', 'healthy living managements', 'social supports', 'palliative cares', 'research methodology', and 'research participants'. Conclusion: Through this study, the knowledge structure of cancer survivors was identified. The 9 topics identified in this study can provide useful research direction for the development of nursing in cancer survivor research areas. The Network analysis used in this study will be useful for identifying the knowledge structure and identifying general views and current cancer survivor research trends.

• Journal of Society of Preventive Korean Medicine
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• v.23 no.2
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• pp.11-23
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• 2019

Objectives : The purpose of this study was to explore factors related quality of life among cancer survivor in order to identify strategies for cancer survivors to go back to normal life and carry on stable and high quality life. Methods : This study used the $1^{st}$ to $6^{th}$ data of Korean Longitudinal Study of Aging(KLoSA). The sample of this study consisted of 118 cancer survivors, all of whom were diagnosed with cancer for more than 10 years later in 2016. Results : Regression analysis of major factors related to the quality of life of elderly cancer survivors showed that the results of 2006 and 2016 were different. In 2006, factors related to cancer were highly correlated with quality of life, but in 2016, it was associated with pain and depression. Conclusions : The results of this study confirm that the factors related to quality of life in cancer survivors change with survival period. Therefore, this study suggests comprehensive care strategies based on the stage of survivorship.

• Journal of Trauma and Injury
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• v.32 no.1
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• pp.17-25
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• 2019

Purpose: We investigated how prehospital, emergency room (ER), and delta shock indices (SI) correlate with outcomes including mortality in patients with polytrauma. Methods: We retrospectively reviewed the medical records of 1,275 patients who visited the emergency department from January 2015 to April 2018. A total of 628 patients were enrolled in the study. Patients were divided into survivor and non-survivor groups, and logistic regression analysis was used to investigate independent risk factors for death. Pearson coefficient analysis and chi-square test were used to examine the significant relationship between SI and clinical progression markers. Results: Of 628 enrolled patients, 608 survived and 27 died. Multivariate logistic regression analysis reveals "age" (p<0.001; OR, 1.068), "pre-hospital SI >0.9" (p<0.001; OR, 11.629), and "delta SI ${\geq}0.3$" (p<0.001; OR, 12.869) as independent risk factors for mortality. Prehospital and ER SIs showed a significant correlation with hospital and intensive care unit length of stay and transfusion amount. Higher prehospital and ER SIs (>0.9) were associated with poor clinical progression. Conclusions: SI and delta SI are significant predictors of mortality in patients with polytrauma. Moreover, both prehospital and ER SIs can be used as predictive markers of clinical progression in these patients.

• 한국체육학회지인문사회과학편
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• v.55 no.3
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• pp.465-472
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• 2016

The purpose of this study was to analyze the amount of physical activity and body composition and to investigate physical activity according to cancer type, sex, and age among colorectal and gastric cancer survivors. A total of 354 participants who were colorectal (n=185) and gastric (n=169) cancer survivors had completed all treatment less than 4 years ago at Y university hospital between June 2014 and April 2015. The Global Physical Activity Questionnaire (GPAQ) was used to measure time and intensity of physical activity according to the different types of activity. The colorectal cancer survivors were significantly higher in body mass index, waist circumference, percent body fat, blood pressure, and the prevalence of diabetes compared to gastric cancer survivors. In addition, the results showed that only 26.5% of colorectal cancer survivors met American College of Sports Medicine (ACSM) guidelines (at least of 150 min of moderate intensity of higher physical activity per week) for physical activity, compared with 41.4% of gastric cancer survivors. Additionally, only 13.6% of colorectal and gastric cancer survivors met strength exercise guidelines. The male cancer survivors were significantly higher in moderate physical activity, participation in resistance exercise, and sedentary behaviors compared to female cancer survivors. In additions, less than 65 years cancer survivors were higher in strenuous intensity exercise and moderate physical activity compared to more than 65 years cancer survivors. The alternative for promoting physical activity participation rates of colorectal and gastric cancer survivors should be presented.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.865-868
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• 2001

TCM offers considerable coding gains without compromising bandwidth or signal power. But TCM decoder is more complex than convolutional Viterbi decoder. Because, the number of branches exponentially increased by the constraint length and input symbol bits. The parallelism of ACS and memory management technique of SPMM is one of the important factor for speed-up and hardware complexity. This paper proposes a multi-processing technique of ACS and also gives a memory management technique of SPMM in TCM decoders.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.57
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• pp.113-122
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• 2000

A mixture of two distributions, each belonging to the same known Weibull distributions, is proposed and a simple graphical method for estimating the parameters of the Weibull distribution is applied. It appears from the results of this study that the mixed Weibull distribution is an appropriate expression for describing industrial property mortality characteristics.

• Proceedings of the IEEK Conference
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• 1998.06a
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• pp.285-288
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• 1998

Viterbi docoder is a maximum likelihood decoding method for convolution coding used in satellite and mobile communications. In this paper, a Viterbi decoder with constraint length of K=7, 3-soft decision and traceback depth of $\Gamma$=96 for convolution code is implemented using VHDL. The hardware size of designed decoder is reduced by 4 bit pre-traceback in the survivor memory.