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Quantitative Structure-Activity Relationship(QSAR) Study of New Fluorovinyloxycetamides
조두호,이성광,김범태,노경태,Jo, Du Ho,Lee, Seong Gwang,Kim, Beom Tae,No, Gyeong Tae Korean Chemical Society 2001 Bulletin of the Korean Chemical Society Vol.22 No.4
Quantitative Structure-Activity Relationship (QSAR) have been established of 57 fluorovinyloxyacetamides compounds to correlate and predict EC50 values. Genetic algorithm (GA) and multiple linear regression analysis were used to select the descriptors and to generate the equations that relate the structural features to the biological activities. This equation consists of three descriptors calculated from the molecular structures with molecular mechanics and quantum-chemical methods. The results of MLR and GA show that dipole moment of z-axis, radius of gyration and logP play an important role in growth inhibition of barnyard grass.
6시그마 DMADOV기반 아리즈와 브레인스토밍을 이용한 취부용 피스제거 시스템의 공학문제 해결에 관한연구
이성조(Seong-Jo Lee),정원지(Won-Ji Chung),이춘만(Choon-Man Lee) 한국생산제조학회 2010 한국생산제조학회지 Vol.19 No.1
This paper presents a new design algorithm for piece-removing dynamical system, based on 6-Sigma DMADOV technique using ARIZ and Brainstorming. Our design target is the piece-removing system installed on a mobile platform of bead-grinding equipment. The 6-Sigma DMADOV technique guides us design process according to 6 steps, i.e., Define ? Measure ? Analyze ? Design ? Optimize ? Verify. A Design strategy to reduce the weight of piece-removing dynamical system will be explored by using ARIZ, i.e.,(the abbreviation of Algorithm for Inventive Problem Solving in Russian). The ARIZ will result in a final solution that the height and angle control parts for a cutting tool should be replaced by a kinematical approach, rather than complicated mechatronic approach(using motors). The Optimize step is composed of two sub-steps: (ⅰ) Generating process for obtaining several ideas of piece-removing system by using Brainstorming technique, satisfying the final solution derived from the Design step using ARIZ, and (ⅱ) Optimizing process for selecting the most optimal idea of piece-removing system by using Pugh’s matrix from the viewpoints of weight, cost and accuracy. The laststep of Verify has shown that the final design obtained by the 6-Sigma DMADOV technique with ARIZ & Brainstormingcan improve an initial design with design requirements satisfied. In this paper, we have shown that ARIZ and Brainstorming can be cooperatively merged into 6-Sigma DMADOV to give us both a formulatedproblem-solving approach and diverse candidate solutions(or ideas) without trial-and-error efforts.
어떤 다발성 외상환자가 중환자실에 오래 있게 되는가?: Injury severity score와 손상부위 수의 비교
조무진 ( Mu Jin Jo ),이성화 ( Seong Hwa Lee ),조석주 ( Seok Ju Cho ),염석란 ( Seok Ran Yeom ),한상균 ( Sang Kyoon Han ),박성욱 ( Sung Wook Park ),이대섭 ( Dae Seop Lee ) 대한외상학회 2013 大韓外傷學會誌 Vol.26 No.2
Purpose: Injury severity score (ISS), a widely used scoring system, is used to define the severity of trauma in multiple-trauma patients. Nevertheless, ISS cut-off value for predicting the outcome of multiple-trauma patients has not been confirmed. Thus, this study was performed to determine the more useful method for predicting the outcome for multiple-trauma patients: the ISS or the number of anatomical Abbreviated injury scale (AIS) injury regions. Methods: for 195 consecutive patients who a regional emergency medical center, we analyzed the ISS and the number of anatomical AIS injury region. The patients were divided into four groups based on the ISS and the number of anatomical AIS regions. We compared intensive-care-unit (ICU) admission days and hospitalization days and ICU stay ratio (ICU admission days/hospitalization days) between the four groups. Results: In the groups with an ISS more than 17, the results were not significantly different statistically the group with 2 anatomical AIS injury regions and more than 3 anatomical AIS injury regions. Also, in the group with an ISS of 17 or less, the results were the same as those for patients with an ISS more than 17 (p>0.05). Among the patients with 2 anatomical AIS injury regions, patients with an ISS more than 17 patients had more ICU admission days and a higher ICU stay ratio than patients with an ISS 17 or less. Also, Among the patients with 3 anatomical AIS injury regions, the results were the same as those for patients with 2 anatomical AIS injury regions. Conclusion: Patients with high ISS, regardless of the number of anatomical AIS injury regions had significantly longer ICU stays and higher ICU admission ratio. Thus, the ISS may be a better method than the number of anatomical AIS injury regions for predicting the outcomes for multiple-trauma patients.
6시그마 DMADOV기반 아리즈와 브레인스토밍을 이용한 취부용 피스제거 시스템의 공학문제 해결에 관한연구
이성조,정원지,이춘만,Lee, Seong-Jo,Chung, Won-Ji,Lee, Choon-Man 한국생산제조학회 2010 한국생산제조학회지 Vol.25 No.3
This paper presents a new design algorithm for piece-removing dynamical system, based on 6-Sigma DMADOV technique using ARIZ and Brainstorming. Our design target is the piece-removing system installed on a mobile platform of bead-grinding equipment. The 6-Sigma DMADOV technique guides us design process according to 6 steps, i.e., Define - Measure - Analyze - Design - Optimize - Verify. A Design strategy to reduce the weight of piece-removing dynamical system will be explored by using ARIZ, i.e.,(the abbreviation of Algorithm for Inventive Problem Solving in Russian). The ARIZ will result in a final solution that the height and angle control parts for a cutting tool should be replaced by a kinematical approach, rather than complicated mechatronic approach(using motors). The Optimize step is composed of two sub-steps: (i) Generating process for obtaining several ideas of piece-removing system by using Brainstorming technique, satisfying the final solution derived from the Design step using ARIZ, and (ii) Optimizing process for selecting the most optimal idea of piece-removing system by using Pugh's matrix from the viewpoints of weight, cost and accuracy. The laststep of Verify has shown that the final design obtained by the 6-Sigma DMADOV technique with ARIZ & Brainstormingcan improve an initial design with design requirements satisfied. In this paper, we have shown that ARIZ and Brainstorming can be cooperatively merged into 6-Sigma DMADOV to give us both a formulatedproblem-solving approach and diverse candidate solutions(or ideas) without trial-and-error efforts.
트리즈와 브레인스토밍을 이용한 취부용 피스제거 자동화 시스템의 최적설계에 관한 연구
이성조(Seong-Jo Lee),정원지(Won-Ji Chung),김호종(Ho-Jong Kim),김기정(Ki-Jung Kim),김정현(Jung-Hyun Kim) 한국생산제조학회 2008 한국생산제조학회지 Vol.17 No.6
This study includes contents on an effective designing of the outer-wall piece removing equipment of a hull, by applying TRIZ. To remove the piece, gas torch was used. However, the heat source must be shut down since the heat source of gas torch has a bad influence on this system. This is why TRIZ and Brainstorming were used, to solve this problem. First, we analyzed the system using TRIZ, and then presented the direction a solution is expected to follow. And the most suitable scheme was derived from brainstorming which had been conducted based on the direction of a solution. Lastly we conducted an equipment modeling based on the most suitable scheme we made before, and carried out the heat analysis to inspect its effect by comparing pre-existing mechanism with most suited scheme.
염주옥 ( Ju Ok Yeom ),윤승배 ( Seung Bae Yoon ),김재경 ( Jae Gyung Kim ),오정환 ( Jung Hwan Oh ),전은정 ( Eun Jung Jeon ),정정조 ( Jeong Jo Jeong ),최상욱 ( Sang Wook Choi ),이성 ( Seong Lee ) 대한소화기학회 2009 대한소화기학회지 Vol.53 No.6
Hepatocellular calcinoma (HCC) is the fifth most common cancer and the third leading cause of cancer-related deaths worldwide. It is important to diagnose HCC exactly before management is attempted. But, the clinical presentations and radiologic findings of liver abscess, HCC, and metastatic tumor to the liver may be quite similar, and procedures such as serum tumor marker assay, computerized tomography, and ultrasonography of the liver cannot make a specific diagnosis. We report a case of HCC successfully diagnosed by surgery which was misconceived as liver abscess and not improved by medical treatment. (Korean J Gastroenterol 2009;53:378-382)
6시그마 DMADOV기반 ARIZ와 Brainstorming을 이용한 취부용 피스제거 시스템의 최적설계에 관한 연구
이성조,정원지,김기정 한국공작기계학회 2009 한국공작기계학회 춘계학술대회논문집 Vol.2009 No.-
This paper presents a new design algorithm for piece-removing dynamical system, based on 6-Sigma DMADOV technique using ARIZ and Brainstorming. Our design target is the piece-removing system installed on a mobile platform of bead-grinding equipment. The 6-Sigma DMADOV technique guides us design process according to 6 steps, i.e., Define - Measure - Analyze - Design - Optimize - Verify. A Design strategy to reduce the weight of piece-removing dynamical system will be explored by using ARIZ, i.e., (the abbreviation of Algorithm for Inventive Problem Solving in Russian).