• 한국유기농업학회지
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• 제26권1호
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• pp.57-72
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• 2018

Organic agriculture seeks sustainable agriculture. Organic agriculture is based on circulating agriculture of a family farm unit. However, as of the end of 2016, only 33 out of the total organic farming farms were implementing Crop-Livestock cycling organic farming. The reason seems to be a matter of income after all. The optimal size combination refers to the scale by which family farms can maintain their quality of life while engaging in farming activities. In other words. it is a farm scale that maintains optimal income through stable labor costs. In the meantime, there has been no previous study on the optimal economical combination of Crop-Livestock cycling farming. Choi (2016) analyzed whether the economies of scope (EOS) were realized in the combined production by using the management data of the farmers who practiced Crop-Livestock cycling organic farming for four years. As a result, it has been revealed that the EOS measurement value is 0 or more so the economies of scope are being realized. Therefore, the purpose of this empirical analysis is to identify farm incomes under this circumstance. It is assumed that the optimum production is achieved by balancing the total income curve and the total cost curve in the optimal scale production range. The results of the analysis are as follows. First, the income after the conversion to Crop-Livestock cycling farming was 44,789,280 won, the sum of the seedling-livestock sector, which was 17,873,120 won higher when the non-Crop-Livestock cycling farming was assumed. The same is true for 2014 and 2015. The reason for this is that pig droppings were composted from organic seedlings, and the cost of selling pork was 150,000 won/per pig more expensive even though the manufacturing cost of organic feeds was higher than the purchasing cost. Secondly, this study simulated the result that the economic index varies when the farm size combination is changed by the farm size of 100% standard (S100) as of 2014. S130 is the increase in size from 100% of 2014, whereas S30 is the result of 3ha crop and 66 livestock (pigs). As a result of this simulation, Crop-Livestock cycling farming income decreased more than non-Crop-Livestock cycling farming as the farm size decreased, whereas the income decreased as the farm size increased. When the size was reduced below S50, the income tended to decrease. In this situation, EOS changed in the same direction. The results showed that when the farming size was reorganized and reduced to 50% compared to 2014, the income and income difference was the highest. At the same time, economies of scope (EOS) were the highest at 0.12985. In other words, it was found that the income of farm houses in a family farm unit sector was the best in the combination of 1.5ha crop agriculture and 110 livestock (pigs).

• 한방비만학회지
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• 제20권2호
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• pp.138-148
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• 2020

Objectives: The aim of this study is to evaluate the effects of Bangpungtongseong-san (Fangfengtongsheng-san, BTS) and Daesiho-tang (Dachaihu-tang, DST) on weight loss and improvement in lipid metabolism and glucose metabolism. Furthermore, we intend to develop a prediction model for drug effects through the analysis of the single nucleotide polymorphism (SNP), gut-microbiota, and the expression of immune-related biomarkers. Methods: This study is a single-center, randomized, double-blind, parallel-design clinical trial. One hundred twenty-eight participants will be assigned to the BTS group (n=64) and DST group (n=64). Both groups will be administered 4 g medication three times a day for up to 2 weeks. The primary outcomes is weight loss. The secondary outcomes include bioelectrical impedance analysis, waist circumstance, body mass index, total cholesterol, high-density lipoprotein, triglyceride, insulin resistance. The exploratory outcomes include 3-day dietary recall, food frequency questionnaire, quality of life questionnaire, gut microbiota analysis, immune biomarkers analysis, and SNP analysis. Assessment will be made at baseline and at week 4, 8, and 12. Conclusions: This protocol will be implemented by approval of the Institutional Review Board of Dongguk University. The results of this trial will provide a systematic evidence for the treatment of obesity and enable more precise herbal medicine prescriptions.

• 대한토목학회논문집
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• 제29권3D호
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• pp.399-408
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• 2009

우리나라 건설사업은 점차 대형화되고 복잡화되는 가운데 예산 및 원가절감에 대한 압박도 점차 높아지고 있다. 이러한 가운데 정부와 공공발주기관들은 경제성 및 품질 향상에 부응하기 위한 발주자 주도의 원가관리기법인 '설계VE(Value Engineering)'을 도입하기 위해 노력해왔다. 국토해양부는 2000년 3월 건설기술관리법시행령을 통해 총공사비 500억원 이상의 1종 시설물 공사에 대하여 설계VE를 의무화하였고 2006년 1월부터는 총공사비 100억원 이상 공사로 그 대상을 확대하였다. 또한 정부는 '경영혁신기본법'과 '공공기관운영에관한법률' 제정을 통해 공공발주기관의 경영혁신 필요성을 제고하고 있어 설계VE의 도입 필요성은 더욱 증가하고 있다. 이에 본 연구는 공공발주기관의 설계VE 성공과 매우 밀접한 7개 부문 총 19개의 핵심성공요인(Critical Success Factors, CSFs)을 도출하고, 10개의 주요기능을 도출한 후 프로세스 모델링기법을 활용하여 공공발주기관의 개선된 설계VE 프로세스를 제시하였다. 연구에서 제시된 프로세스는 공공발주기관인 G사의 사례 연구를 통해 그 효과를 확인하였다. 본 연구결과는 설계VE를 이미 시행하고 있거나 새로 도입하고자 하는 정부, 지방자치단체 및 기타 공기업들이 보다 효과적인 설계VE 프로세스를 도입하는데 활용될 수 있을 것으로 기대된다.