• 대한간호
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• 제15권5호통권85호
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• pp.6-18
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• 1976

• 여성건강간호학회지
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• 제17권4호
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• pp.328-336
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• 2011

Purpose: The purpose of this study is to develop the optimal nursing fee for nurse-midwifery center (MC) in the national health insurance system. Methods: The three methodologies used to calculate the conversion factors for the MCs in the national health insurance include cost accounting method, sustainable growth rate (SGR) model, and index model. In this study, the macro-economic indicators and the national statistics were used to estimate the conversion factors for the MCs. Results: The optimal nursing fee for the MCs in 2011 was estimated to be an increase of 57.7% by cost accounting analysis, a decrease of 17.1% by SGR model, and a decrease of 16.1% by index model. The results from SGR model and index model could had been biased due to the upswing of medical spendings in the short-term period (2008~2009). A sensitivity analysis of pre-delivery subsidy program for OB & GYN hospitals and clinics showed that the program has substantially diminished the demand for the MC services. Conclusion: More reliable methodologies to estimate nursing fees precisely are required to prove the value of nurses' services and a government subsidy program for the MC services should be followed from a social perspective.

• Nutrition Research and Practice
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• 제6권4호
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• pp.357-365
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• 2012

This study was conducted to develop a construct model regarding the daily activities, emotional security provided by food, enjoyment of food, level of satisfaction with delivered food, and the quality of life of homebound seniors who benefitted from meal delivery programs. The data were analyzed by SAS 9.2 and the Structural Equation Model (SEM), which was created by Analysis of Moment Structure (AMOS) 5.0 packages. The reliability of the data was confirmed by an exploratory factor analysis and through a Cronbach's alpha coefficient, and the measurement model proved to be appropriate by a confirmatory factor analysis of the measurement model in conjunction with AMOS. The results of the correlations between all the variables showed significant positive correlations (P < 0.05). The path analysis demonstrated that the daily activities (P < 0.01) and the emotional security created by food (P < 0.05) had positive correlations with the foodservice satisfaction (P < 0.05), while the daily activities (P < 0.05), the sense of emotional security made by food (P < 0.05), and food enjoyment (P < 0.05) also presented significant positive correlations with the quality of life. However, the food service satisfaction was shown to directly, but not significantly, affect the quality of life. This revealed that the current meal delivery programs needed to be improved in several directions.

• 한국환경농학회지
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• 제30권3호
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• pp.268-274
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• 2011

본 연구에서는 유량 및 유사량 자료가 부족한 미계측 유역에 대해 Tank모형을 확장하여 궁극적으로 유사량을 평가하는 방법을 제시하였다. 적용 유역은 동해안 타 유역에 비해 유량자료가 확보되어 있는 오십천을 대상으로 집중호우기의 토사유출 특징과 하천의 토사유달률을 구하였다. 본 연구의 주요 결과는 다음과 같다. 1) 실측에 의한 유사량의 산정에 있어서는 먼저 유사량 관계식(sediment rating curve)의 개발이 선행되어야 한다. 본 연구에서는 유량 산정지점에 대해 유량과 병행하여 유사량 관계식을 다음과 같이 구하였다. 오십천 유량-유사량 관계식 : $Q_s=6.017Q^{1.374}$ 2) Tank모형을 적용하여 2006년 강우유출량을 산정한 결과 관측값과 유사한 값($RMSE=1.26m^3/day$)을 얻을 수 있었다. 3) 대상지역의 2006년과 2009년의 연평균 토사전달율 을 비교한 결과 태풍에 따른 집중강우가 있었던 2006년의 토사전달율이 평년의 2009년에 비해 현저하게 높았는데 이는 급격한 강우유출량의 증가에 따른 것이라 보인다. 4) 개량된 Tank모형에 의한 유량 및 토사유출량은 기존의 SRC방법과 비교했을 경우 유사한 경향을 보였으며 이는 향후 유량과 유사량 자료가 부족한 유역에 대해 효과적으로 적용할 수 있을 것으로 본다.

• 한국의학물리학회지:의학물리
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• 제18권3호
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• pp.161-166
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• 2007

공모양의 단단한 종양안에서 수동조준된 약물의 전달에 관한 모델이론이 적절한 경계조건과 초기조건하에서 픽의 확산법칙으로부터 유도된다. 종양안의 농도는 초기값이 일정하면 시간과 지름의 함수로 나타난다. 생각실험(사고실험)으로부터 예측되는 바와 같이, 농도는 시간이 경과함에 따라 평형값에 접근한다. 시간에 따른 농도의 변화는 조직안의 약물의 확산계수, 종양의 크기, 주입된 약물의 양, 경계면에서의 농도의 물매(gradient)에 의해 결정된다.

• 산업경영시스템학회지
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• 제42권4호
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• pp.16-22
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• 2019

After Dantzig and Rasmer introduced Vehicle Routing Problem in 1959, this field has been studied with numerous approaches so far. Classical Vehicle Routing Problem can be described as a problem of multiple number of homogeneous vehicles sharing a same starting node and having their own routes to meet the needs of demand nodes. After satisfying all the needs, they go back to the starting node. In order to apply the real world problem, this problem had been developed with additional constraints and pick up & delivery model is one of them. To enhance the effectiveness of pick up & delivery, hub became a popular concept, which often helps reducing the overall cost and improving the quality of service. Lots of studies have suggested heuristic methods to realize this problem because it often becomes a NP-hard problem. However, because of this characteristic, there are not many studies solving this problem optimally. If the problem can be solved in polynomial time, optimal solution is the best option. Therefore, this study proposes a new mathematical model to solve this problem optimally, verified by a real world problem. The main improvements of this study compared to real world case are firstly, make drivers visit every nodes once except hub, secondly, make drivers visit every nodes at the right time, and thirdly, make drivers start and end their journey at their own homes.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.1025-1032
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• 2021

The study investigates factors affecting the loyalty of Food Delivery Application (FDA) service in Thailand. This study employs quantitative research methodology with a non-probability sampling method to draw 510 FDA samples from the FDA users in Thailand. The online questionnaires with a Cronbach's alpha coefficient of 0.886 were used as a research tool to collect data from samples. By using the Structural Equation Modeling (SEM) to analyze data, the results show that trustworthiness, social influence, system design, and task-technology fit affect the user's technology acceptance, which also show the significant relationship with the loyalty of FDA users in Thailand. The study checks the harmony with the statistics; χ2 = 258.686, df. =160, χ2/df. = 1.616, p-value = 0.050, CMIN/DF = 1.616, GFI = 0.960, AGFI = 0.969, TLI = 0.953, CFI = 0.965, RMSEA = 0.047, significant level at 0.05, along with testing the weight factor. In conclusion, the research model was harmonious with the empirical data at the significant level 0.05. The finding of this study suggested that the FDA service provider might apply this research finding to develop a greater understanding of the FDA's customer loyalty, as well as determine marketing strategies, identify opportunities, and create a competitive advantage in the future.

• 산경연구논집
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• 제13권10호
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• pp.9-14
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• 2022

Purpose: With the rapid development of China's e-commerce industry, the express delivery industry is also advancing by leaps and bounds. While express brings convenience to people's life, a large number of express packages are disposed of at will, which not only increases a large amount of domestic waste, but also causes environmental pollution and waste of resources. Therefore, express packaging recycling has become a consensus in all fields of society. Research design, data and methodology:According to the characteristics of express packaging recycling, other variables were introduced into the TPB model proposed by AJZEN, and based on previous literature research and research assumptions, a model of influencing factors of consumer behavior in express packaging recycling was constructed. Results: The results show that in addition to reward factors, other factors have a significant positive impact on the respondents' willingness to recycling. Conclusions: In order to enhance consumers' willingness to recycle express delivery and effectively carry out express packaging recycling, the following suggestions are put forward: the government should formulate a comprehensive express delivery recycling policy, strengthen policy publicity, and standardize consumers' express packaging recycling behavior. Improve consumers' awareness of express packaging recycling, and promote the increase in the scale of express packaging recycling.

• International Journal of Computer Science & Network Security
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• 제23권6호
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• pp.107-114
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• 2023

Successful implementations of DevOps practices significantly improvise software efficiency, collaboration and security. Most of the organizations are adopting DevOps for faster and quality software delivery. DevOps brings development and operation teams together to overcome all kind of communication gaps responsible for software failures. It relies on different sets of alternative tools to automate the tasks of continuous integration, testing, delivery, deployment and monitoring. Although DevOps is followed for being very reliable and responsible environment for quality software delivery yet it lacks many quantifiable aspects to prove it on the top of other traditional and agile development methods. This research evaluates quantitative performance of DevOps and traditional/ agile development methods based on software metrics. This research includes three sample projects or code repositories to quantify the results and for DevOps integrated selective tool chain; current research considers our earlier proposed and implemented DevOps hybrid model of integrated automation tools. For result discussion and validation, tabular and graphical comparisons have also been included to retrieve best performer model. This comparative and evaluative research will be of much advantage to our young researchers/ students to get well versed with automotive environment of DevOps, latest emerging buzzword of development industries.

• 한국정보시스템학회지:정보시스템연구
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• 제32권2호
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• pp.25-43
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• 2023

Purpose In online delivery platforms, platform workers are required to perform both platform labor, which is compensated with immediate wages, and shadow work which is a kind of unpaid job to support the platform labor. Thus, the objective of this study is to empirically examine how platform workers' platform labor and shadow work affect their job burnout and their turnover intention in the online delivery platform context. Design/methodology/approach This study developed a research model by employing platform labor and shadow work to influence job burnout and turnover intention. This study also tested the model by partial least square techniques after collecting 169 cross-sectional data from food delivery riders in Korea. Findings This study found that both platform labor and shadow work affected platform workers' job burnout. In addition, the results showed that shadow work influenced their turnover intention while platform labor did not affect the turnover intention. Based on the results, this study contributed to relevant researchers who are interested in platform contexts by offering measurable constructs on platform labor and shadow work. In addition, this study could provide practitioners with practical implications on managing platform workers.