• Title/Summary/Keyword: terminal time value

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Decision Making on the Non surgical, Surgical Treatment on Chronic Adult Periodontitis (만성 성인성 치주염 치료시 비외과적, 외과적 방법에 대한 의사결정)

  • Song, Si-Eun;Li, Seung-Won;Cho, Kyoo-Sung;Chai, Jung-Kiu;Kim, Chong-Kwan
    • Journal of Periodontal and Implant Science
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    • v.28 no.4
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    • pp.645-660
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    • 1998
  • The purpose of this study was to make and ascertain a decision making process on the base of patient-oriented utilitarianism in the treatment of patients of chronic adult periodontitis. Fifty subjects were chosen in Yonsei Dental hospital and the other fifty were chosen in Severance dental hospital according to the selection criteria. Fifty four patients agreed in this study. NS group(N=32) was treated with scaling and root planing without any surgical intervention, the other S group(N=22) done with flap operation. During the active treatment and healing time, all patients of both groups were educated about the importance of oral hygiene and controlled every visit to the hospital. When periodontal treatment needed according to the diagnostic results, some patients were subjected to professional tooth cleaning and scaling once every 3 months according to an individually designed oral hygienic protocol. Probing depth was recorded on baseline and 18 months after treatments. A questionnaire composed of 6 kinds(hygienic easiness, hypersensitivity, post treatment comfort, complication, functional comfort, compliance) of questions was delivered to each patient to obtain the subjective evaluation regarding the results of therapy. The decision tree for the treatment of adult periodontal disease was made on the result of 2 kinds of periodontal treatment and patient's ubjective evaluation. The optimal path was calculated by using the success rate of the results as the probability and utility according to relative value and the economic value in the insurance system. The success rate to achieve the diagnostic goal of periodontal treatment as the remaining pocket depth less than 3mm and without BOP was $0.83{\pm}0.12$ by non surgical treatment and $0.82{\pm}0.14$ by surgical treatment without any statistically significant difference. The moderate success rate of more than 4mm probing pocket depth were 0.17 together. The utilities of non-surgical treatment results were 100 for a result with less than 3mm probing pocket depth, 80 for the other results with more than 4mm probing pocket depth, 0 for the extraction. Those of surgical treatment results were the same except 75 for the results with more than 4mm. The pooling results of subjective evaluation by using a questionnaire were 60% for satisfaction level and 40% for no satisfaction level in the patient group receiving nonsurgical treatment and 33% and 67% in the other group receiving surgical treatment. The utilities for 4 satisfaction levels were 100, 75, 60, 50 on the base of that the patient would express the satisfaction level with normal distribution. The optimal path of periodontal treatment was rolled back by timing the utility on terminal node and the success rate, the distributed ratio of patient's satisfaction level. Both results of the calculation was non surgical treatment. Therefore, it can be said that non-surgical treatment may be the optimal path for this decision tree of treatment protocol if the goal of the periodontal treatment is to achieve the remaining probing pocket depth of less than 3mm for adult chronic periodontitis and if the utilitarian philosophy to maximise the expected utility for the patients is advocated.

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Fermentation Property of Chinese Cabbage Kimchi by Fermentation Temperature and Salt Concentration (발효온도 및 소금농도에 따른 배추김치의 발효 특성)

  • Chang, Moon-Jeong;Kim, Myung-Hwan
    • Applied Biological Chemistry
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    • v.43 no.1
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    • pp.7-11
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    • 2000
  • The effects of fermentation temperature$(0{\sim}l5^{\circ}C)$ and salt concentration$(1.5{\sim}4.0%)$ on the fermentation property of Chinese cabbage Kimchi were analyzed by response surface methodology. The pH decreased and acidity increased with increasing fermentation time. The reduction and increment velocities of pH and acidity were increased by increasing fermentation temperature and decreasing salt concentration. The optimum pH 4.2 was reached within $14{\sim}24$ days at $5{\sim}15^{\circ}C$, while pHs of 24 days at $0{\sim}5^{\circ}C$ were still lower value than 4.2. The effect of salt concentration more affected terminal fermentation period than initial fermentation period. The maximum edible acidity, 0.75%, was reached within 8 days at $15^{\circ}C$, while acidifies of 24 days at $0^{\circ}C$ were $0.35{\sim}0.43%$. The effects of salt concentration at $0^{\circ}C$ was higher than those at $15^{\circ}C$. The fermentation time, fermentation temperature and salt concentration were the first, second and third affecting factors on the pH and acidity of Kimchi. Based on the coefficients of determination, pH and acidity were highly fitted to the experimental data$(r^2>0.9276)$. For the suitable acidity range, $0.40{\sim}0.75%$, the edible period of Kimchi at $15^{\circ}C,\;10^{\circ}C\;and\;5^{\circ}C$ were 4 days, 10 days and 18 days at the 2.75% of salt concentration, respectively. The edible period increased from 14 days to 19 days with increased salt concentration from 1.50% to 4.00% at $5^{\circ}C$ of fermentation temperature.

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Estimation of the CY Area Required for Each Container Handling System in Mokpo New Port (목표 신항만의 터미널 운영시스템에 따른 CY 소요면적 산정에 관한 연구)

  • Keum, J.S.
    • Journal of Korean Port Research
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    • v.12 no.1
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    • pp.35-46
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    • 1998
  • The CY can be said to function in various respect as a buffer zone between the maritime and overland inflow-outflow of container. The amount of storage area needed requires a very critical appraisal at pre-operational stage. A container terminal should be designed to handle and store containers in the most efficient and economic way possible. In order to achieve this aim it is necessary to figure out or forecast numbers and types of containers to be handled, CY area required, and internal handling systems to be adopted. This paper aims to calculate the CY area required for each container handling system in Mokpo New Port. The CY area required are directly dependent on the equipment being used and the storage demand. And also the CY area required depends on the dwell time. Furthermore, containers need to be segregated by destination, weight, class, FCL(full container load), LCL(less than container load), direction of travel, and sometimes by type and often by shipping line or service. Thus the full use of a storage area is not always possible as major unbalances and fluctuations in these flow occuring all the time. The calculating CY area must therefore be taken into account in terms of these operational factors. For solving such problem, all these factors have been applied to estimation of CY area in Mokpo New Port. The CY area required in Mokpo New Port was summarized in the conclusion section.

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The Influence of Iteration and Subset on True X Method in F-18-FPCIT Brain Imaging (F-18-FPCIP 뇌 영상에서 True-X 재구성 기법을 기반으로 했을 때의 Iteration과 Subset의 영향)

  • Choi, Jae-Min;Kim, Kyung-Sik;NamGung, Chang-Kyeong;Nam, Ki-Pyo;Im, Ki-Cheon
    • The Korean Journal of Nuclear Medicine Technology
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    • v.14 no.1
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    • pp.122-126
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    • 2010
  • Purpose: F-18-FPCIT that shows strong familiarity with DAT located at a neural terminal site offers diagnostic information about DAT density state in the region of the striatum especially Parkinson's disease. In this study, we altered the iteration and subset and measured SUV${\pm}$SD and Contrasts from phantom images which set up to specific iteration and subset. So, we are going to suggest the appropriate range of the iteration and subset. Materials and Methods: This study has been performed with 10 normal volunteers who don't have any history of Parkinson's disease or cerebral disease and Flangeless Esser PET Phantom from Data Spectrum Corporation. $5.3{\pm}0.2$ mCi of F-18-FPCIT was injected to the normal group and PET Phantom was assembled by ACR PET Phantom Instructions and it's actual ratio between hot spheres and background was 2.35 to 1. Brain and Phantom images were acquired after 3 hours from the time of the injection and images were acquired for ten minutes. Basically, SIEMENS Bio graph 40 True-point was used and True-X method was applied for image reconstruction method. The iteration and Subset were set to 2 iterations, 8 subsets, 3 iterations, 16 subsets, 6 iterations, 16 subsets, 8 iterations, 16 subsets and 8 iterations, 21 subsets respectively. To measure SUVs on the brain images, ROIs were drawn on the right Putamen. Also, Coefficient of variance (CV) was calculated to indicate the uniformity at each iteration and subset combinations. On the phantom study, we measured the actual ratio between hot spheres and back ground at each combinations. Same size's ROIs were drawn on the same slide and location. Results: Mean SUVs were 10.60, 12.83, 13.87, 13.98 and 13.5 at each combination. The range of fluctuation by sets were 22.36%, 10.34%, 1.1%, and 4.8% respectively. The range of fluctuation of mean SUV was lowest between 6 iterations 16 subsets and 8 iterations 16 subsets. CV showed 9.07%, 11.46%, 13.56%, 14.91% and 19.47% respectively. This means that the numerical value of the iteration and subset gets higher the image's uniformity gets worse. The range of fluctuation of CV by sets were 2.39, 2.1, 1.35, and 4.56. The range of fluctuation of uniformity was lowest between 6 iterations, 16 subsets and 8 iterations, 16 subsets. In the contrast test, it showed 1.92:1, 2.12:1, 2.10:1, 2.13:1 and 2.11:1 at each iteration and subset combinations. A Setting of 8 iterations and 16 subsets reappeared most close ratio between hot spheres and background. Conclusion: Findings on this study, SUVs and uniformity might be calculated differently caused by variable reconstruction parameters like filter or FWHM. Mean SUV and uniformity showed the lowest range of fluctuation at 6 iterations 16 subsets and 8 iterations 16 subsets. Also, 8 iterations 16 subsets showed the nearest hot sphere to background ratio compared with others. But it can not be concluded that only 6 iterations 16 subsets and 8 iterations 16 subsets can make right images for the clinical diagnosis. There might be more factors that can make better images. For more exact clinical diagnosis through the quantitative analysis of DAT density in the region of striatum we need to secure healthy people's quantitative values.

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