• Asian Pacific Journal of Cancer Prevention
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• 제15권19호
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• pp.8371-8376
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• 2014

Background: The use of statistical methods has become an imperative tool in breast cancer survival data analysis. The purpose of this study was to develop the best statistical probability model using the Bayesian method to predict future survival times for the black non-Hispanic female breast cancer patients diagnosed during 1973-2009 in the U.S. Materials and Methods: We used a stratified random sample of black non-Hispanic female breast cancer patient data from the Surveillance Epidemiology and End Results (SEER) database. Survival analysis was performed using Kaplan-Meier and Cox proportional regression methods. Four advanced types of statistical models, Exponentiated Exponential (EE), Beta Generalized Exponential (BGE), Exponentiated Weibull (EW), and Beta Inverse Weibull (BIW) were utilized for data analysis. The statistical model building criteria, Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) were used to measure the goodness of fit tests. Furthermore, we used the Bayesian approach to obtain the predictive survival inferences from the best-fit data based on the exponentiated Weibull model. Results: We identified the highest number of black non-Hispanic female breast cancer patients in Michigan and the lowest in Hawaii. The mean (SD), of age at diagnosis (years) was 58.3 (14.43). The mean (SD), of survival time (months) for black non-Hispanic females was 66.8 (30.20). Non-Hispanic blacks had a significantly increased risk of death compared to Black Hispanics (Hazard ratio: 1.96, 95%CI: 1.51-2.54). Compared to other statistical probability models, we found that the exponentiated Weibull model better fits for the survival times. By making use of the Bayesian method predictive inferences for future survival times were obtained. Conclusions: These findings will be of great significance in determining appropriate treatment plans and health-care cost allocation. Furthermore, the same approach should contribute to build future predictive models for any health related diseases.

• Asian Pacific Journal of Cancer Prevention
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• 제15권14호
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• pp.5571-5575
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• 2014

Background: The ability to predict the survival time of breast cancer patients is important because of the potential high morbidity and mortality associated with the disease. To develop a predictive inference for determining the survival of breast cancer patients, we applied a novel Bayesian method. In this paper, we propose the development of a databased statistical probability model and application of the Bayesian method to predict future survival times for White Hispanic female breast cancer patients, diagnosed in the US during 1973-2009. Materials and Methods: A stratified random sample of White Hispanic female patient survival data was selected from the Surveillance Epidemiology and End Results (SEER) database to derive statistical probability models. Four were considered to identify the best-fit model. We used three standard model-building criteria, which included Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) to measure the goodness of fit. Furthermore, the Bayesian method was used to derive future survival inferences for survival times. Results: The highest number of White Hispanic female breast cancer patients in this sample was from New Mexico and the lowest from Hawaii. The mean (SD) age at diagnosis (years) was 58.2 (14.2). The mean (SD) of survival time (months) for White Hispanic females was 72.7 (32.2). We found that the exponentiated Weibull model best fit the survival times compared to other widely known statistical probability models. The predictive inference for future survival times is presented using the Bayesian method. Conclusions: The findings are significant for treatment planning and health-care cost allocation. They should also contribute to further research on breast cancer survival issues.

• 한국인터넷방송통신학회논문지
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• 제16권6호
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• pp.265-275
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• 2016

IT 산업의 환경은 무한 경쟁과 함께 빠르게 변화하고 있다. 이러한 상황에서 근로자와 조직의 성과 향상을 위해 IT 근로자들의 직무열의 향상의 방안을 모색한다. 조직의 변화를 수반하는 리더십 중에서 서번트 리더십의 구성원 성장몰입 리더십은 구성원의 역량이 중시되는 IT 산업에서 중요한 역할을 수행할 것이다. 구성원의 성장을 지원하는 리더십은 구성원에게 조직이 자신을 지원한다는 인식을 지니게 하여 직무에 대해 긍정적 태도를 갖게 할 것이다. 그리고 성장몰입이 수반하고 있는 미래에 대한 관점과 관련하여 기대의 역할을 설명한다. 미래지향적 관점에서 리더가 구성원의 성장을 지원하고, 구성원이 미래에 긍정적 기대를 지니게 되면 조직지원인식이 보다 증가하여 직무열의가 향상될 것이다. 오늘날 IT 조직과 근로자들의 성공을 위해 필요한 직무열의를 향상시키기 위해 조직의 공정한 배려와 지원, 리더십 유형과 미래에 대한 긍정적 기대의 중요성을 설명하는데 본 연구의 목적과 의의가 있다.

• 한국BIM학회 논문집
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• 제12권4호
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• pp.80-92
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• 2022

Recently, remote work has arisen due to the social atmosphere and advancement of digital technology. Although effective in premeditated communications such as conferences or meetings, the current technology such as messengers and video chats insufficiently supports impromptu communications like a chance encounter, daily conversation with colleagues, or brief instant meetings. This causes various problems such as a decrease in social belonging and an increase in social isolation. The virtual workplace, which emerged as an alternative to this technology, is merely replicating the workplace layouts in reality with an absence of the proper design guideline. Therefore, this paper aims to establish the foundation for the better design of the virtual workplace for remote-work employees. The research compared 12 current workplace cases with the analysis with 5 categories(Spatial Composition, Scale, Individual & Collaboration Workplace, Socializing Space), and discovered the following results: 1) some design principles of the real workplace can be applied on the virtual workplace design, 2) the architectural components of the virtual workplace can differ from them of the real. Based on the results, the research suggests both the appropriate design methodologies of the virtual workplace considering the design principles of the real office layouts, and the design direction for the future of the virtual workplace. This research will be the foundation for the future design of the virtual workplace.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2002년도 방송기술 국제워크샵
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• pp.71-83
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• 2002

• 근관절건강학회지
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• 제27권3호
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• pp.247-254
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• 2020

Purpose: This was a descriptive observational study examining the reasons for, frequency of, and factors affecting work interruption among intensive care unit (ICU) nurses. Methods: Convenience sampling was used to recruit 46 regular nurses who had been working in an ICU at D tertiary hospital in B metropolitan city for at least six months. To measure the degree of work interruption, this study revised a tool used by Brixey et al. (2007) for analyzing the type of work interruption. Results: A total of 1,787 work interruptions occurred during 368 hours of observation, i.e., at an average of 4.85 times per hour. Communication-related factors caused work interruption most frequently, followed by environmental, work-related, and personal factors. As for the work-related characteristics of nurses, participants experienced work interruption more frequently while working on weekdays, when the medical staff were stationed, than on weekends. Conclusion: ICU nurses experienced work interruption frequently. With the health care system expected to become more complicated in the future, efforts should be made to reduce unnecessary work interruptions to improve the operation efficiency of ICUs.

• 융합경영연구
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• 제7권1호
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• pp.26-38
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• 2019

Purpose - This paper is to review recent literature, by conducting a thorough investigation of the limitations and implications for future research on work-life balance with the focus and linkages between work-life balance practices, machine learning and emotional intelligence, work-life conflict, the correlations between work-life enrichment and work-life balance practices, the relationships between employee job satisfaction and work-life balance, the links between work-life balance and the managerial support. Research design, data, and methodology - The paper will further detail linkages between work-life balance and organizational performance outcomes productivity and innovation. Previous literatures have paid attentions to the link of HR practices and organizational outcomes such as productivity, flexibility, and financial performance, but the understanding needs to be extended to involve innovation performance. Dealing with employees' emotions using different machine learning techniques is one of the phenomenal researches in today's world. Here, we examine how far the employees are conscious of their own self and found the ideas and views of an individual about themselves and others. Without proper knowledge about their personality it will be very difficult for an individual to manage their own emotions. This study also aims at finding out the individual abilities to manage their emotions in order to perform well. Conclusions - A theoretical conceptual framework has been built by integrating the existing literature to explain a number of factors which are closely associated with work-life balance. The conceptual model illustrates how the work-life balance interplays with performance and interrelates with the aforementioned factors.

• 물과 미래
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• 제30권1호
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• pp.54-63
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• 1997

• 보건행정학회지
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• 제13권1호
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• pp.46-68
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• 2003

In the model tested here, individual innovative work behavior is considered as the outcome of two antecedent factors-empowerment and organizational supports. The relationships between those variables and innovative work behavior are analyzed form the data collected through a questionnaire survey of 389 employees in five general hospitals. Results of multiple regression analyses show that three dimensions of empowerment-meaning, competence, and impact, and supports from organizational culture have significant effects on innovative work behavior whereas the effects of choice dimension of empowerment and managerial supports are not significant. These results emphasize the importance of empowerment and innovation oriented organizational culture for individual members' innovative work behavior. Theoretical and practical Implications and suggestions for future research are discussed.

• 대한가정학회지
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• 제35권5호
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• pp.151-162
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• 1997

The purpose of this study was to examine the impacts of various stressors among dual-earner families on parenting stress and marital satisfaction. Using a survey data collected from 168 dual-earner couples, this study investigated impact of various stressors, including husband division of labor, the satisfaction of childcare arrangement, husband's support on wife's outside work, family socioeconomic status, and strains from job. The finding suggested that, after controlling background variables(length of marriage, the number of children, and family income), high husbands' support on wife's outside work and low strains about their work hours had influenced on higher parenting stress among fathers, while high strains about their work hours had related to high parenting stress among mothers. It also found that high satisfaction on childcare arrangement and low depression were the factors predicting higher marital satisfaction of mothers, and high support on their wife's outside work, low work role strain, low depression, and low parenting stress had influenced on higher marital satisfaction among fathers. Discussions and recommendations for future research were added.