• Bulletin of the Korean Chemical Society
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• 제30권5호
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• pp.1190-1192
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• 2009

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2005년도 생물공학의 동향(XVII)
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• pp.797-798
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• 2005

• 한국환경보건학회지
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• 제46권2호
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• pp.232-244
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• 2020

Objectives: The purpose of this study is to develop a management system for the safe handling of chemicals and related health management based on reporting under the Chemical Control Act (CCA). It is used to search handling information by constructing data linked to the name of companies, chemicals, products, etc. Methods: Due to the differences in submission periods for each reporting regulation of the Chemical Control Act, the data used is as follows: A statistical survey collected 26,222 companies in 2014 and 2016, Pollutant Release Transfer Registers (PRTR) collected 4,234 companies in 2015-2017, performance reports by handlers of hazardous chemical substances collected 14,658 companies in 2016-2018, and declarations for import of toxic chemicals collected 892 companies in 2016-2017. The total information on 36,080 companies is standardized based on company ID, name, business registration number, address, and more. The data were classified into information such as company, chemical, and product name and amounts handled and released, and then extracted according to criteria to establish relationships among classified information. Results: A search service was developed for handling information on chemical substances for reporting data by linking four reporting data: statistical survey, PRTR, performance report by handler of hazardous chemical substances, and declaration for import of toxic chemicals under the CCA. It was composed of five menus to search by regulation type, reporting regulation, companies and chemicals, and system management. Conclusion: It is necessary to use data linked by company, region, and chemical to respond and to prevent chemical accidents. In addition, these items can be utilized to perform handling and safety management of chemicals according to whether regulations under the CCA may be implemented.

• 대한화학회지
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• 제46권1호
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• pp.83-89
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• 2002

본 연구는 밀도 개념 학습에서 학생들의 변칙 사례에 대한 반응을 분석하고, 특성 및 상태 자기 조절 전략과 인지 갈등 및 개념 변화의 관계를 조사하였다. 중학교 2학년 학생 352명을 대상으로 특성 자기 조절 전략 검사, 선개념 검사, 변칙 사례에 대한 반응 검사를 실시하여, 제시한 초기 이론과 일치하는 선개념을 가진 146명을 선택하였다. 학생들이 과학적 원리를 학습한 후 상태 자기 조절 전략 검사와 개념 검사를 실시하였다. 특성 및 상태 자기 조절 전략의 하위 범주 점수들과 인지 갈등 정도는 유의미한 상관이 없었다. 개념 검사 점수는 특성 계획, 특성 노력, 상태 계획, 상태 자기 점검, 상태 노력 점수와 유의미한 상관이 있었다. 상태 노력만이 개념 변화에 대한 유의미한 예언 변인이었다.

• Journal of Biosystems Engineering
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• 제21권2호
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• pp.155-166
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• 1996

A direct injection sprayer was designed using the concepts of injection mixing and total flow control, flowrate-based system compensating for the variation of forwarding speed. A metered rate, proportionally to the actual diluent flow rate, of a tracer chemical was injected directly into the diluent stream. The injection of chemical may improve the precision and safety of chemical application process. The control system was evaluated for the variables of the control interval, tolerances and sensitivities of flow regulation valve and injection pump. Performance of the system was assessed as that the response time of flow rate, response time of injection rate, absolute steady state error, and the coefficient of variance(C.V.) of concentration were 8.5 and -0.53 seconds, 0.067 lpm(0.8%) and 3.15%, respectively, at optimal parameters of control interval of 1.0 sec, fast sensitivity of flow regulation valve, medium sensitivity of injection pump and medium tolerance of flow rate. Performance of the system can be improved by increasing the sensitivity of flow regulating valve and employing a high resolution velocimeter, such as Doppler radar.

• Journal of Microbiology and Biotechnology
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• 제17권3호
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• pp.496-510
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• 2007

This paper describes the use of a discrete mathematical model to represent the basic mechanisms of regulation of the bacteria E. coli in batch fermentation. The specific phenomena studied were the changes in metabolism and genetic regulation when the bacteria use three different carbon substrates (glucose, glycerol, and acetate). The model correctly predicts the behavior of E. coli vis-a-vis substrate mixtures. In a mixture of glucose, glycerol, and acetate, it prefers glucose, then glycerol, and finally acetate. The model included 67 nodes; 28 were genes, 20 enzymes, and 19 regulators/biochemical compounds. The model represents both the genetic regulation and metabolic networks in an integrated form, which is how they function biologically. This is one of the first attempts to include both of these networks in one model. Previously, discrete mathematical models were used only to describe genetic regulation networks. The study of the network dynamics generated 8 $(2^3)$ fixed points, one for each nutrient configuration (substrate mixture) in the medium. The fixed points of the discrete model reflect the phenotypes described. Gene expression and the patterns of the metabolic fluxes generated are described accurately. The activation of the gene regulation network depends basically on the presence of glucose and glycerol. The model predicts the behavior when mixed carbon sources are utilized as well as when there is no carbon source present. Fictitious jokers (Joker1, Joker2, and Repressor SdhC) had to be created to control 12 genes whose regulation mechanism is unknown, since glycerol and glucose do not act directly on the genes. The approach presented in this paper is particularly useful to investigate potential unknown gene regulation mechanisms; such a novel approach can also be used to describe other gene regulation situations such as the comparison between non-recombinant and recombinant yeast strain, producing recombinant proteins, presently under investigation in our group.

• Bulletin of the Korean Chemical Society
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• 제33권5호
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• pp.1765-1768
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• 2012

• Bulletin of the Korean Chemical Society
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• 제31권7호
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• pp.2110-2112
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• 2010

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2005년도 생물공학의 동향(XVI)
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• pp.587-588
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• 2005

• 대한화학회지
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• 제4권1호
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• pp.81-82
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• 1957

With the purpose of applying the results outlined in Report(1) to household briquetts, combustion ratio, i, c, combustion hours has been determined. The results of combstion velocity are directly proportional to rate of mixture of anthracite, and inversely proportional to graphitc.