• 대한전기학회논문지
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• 제35권3호
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• pp.87-94
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• 1986

This paper introduce a new test generation method based on built-in data base which is suitable for generating of test set by using PROLOG language. The program presented in this paper deals with all the information required for fault detection from the rules describing output signals and internal signals. Example shows the validity of proposed PROLOG program which results in a effective generation of test set comparable to the conventional D-algorithm.

• 가정과삶의질연구
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• 제22권6호
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• pp.47-61
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• 2004

The purpose of this study is to develop a life planning program for retired elderly people. This program is not a preparation program for elderly people prior to their retirement but a readjustment and re-planning their life after retirement. This program help retired elderly people to solve the life problem and set up a affirmative ones future image. Also this program pay regard to social, home backgrounds of this generation. The program consists of four session curriculums session 1 is entitled to &Make my future by oneself&, session 2 is &Enjoy healthy life as much as one can&, session 3 is &Have a heart for family& and session 4 is &Set up a mature old age&. A fled study has been conducted with ten retired elderly people who want to participated in the program voluntarily. 4 sessions each of which consists of 2 hours were performed at Korean Association of Retired Persons. Field test for program evaluation is designed to three steps: pre-test, post-test and one month follow-up test to measure the effectiveness of the program. According to evaluation results, the program shows a significantly positive effect on the improvement of elderly people's understanding about elderly life. At the one month follow-up assessment, the effect of program is still remained strongly even though there is a Partial slight increase or reduction which is not statistically significant. Most of the program participants have expressed high level of satisfaction with the program. For further study, we need various contents which are suited to larger group with diverse socio0-demographic backgrounds. At the same time, the program has diverse instruction methods which are pertinent to levels of participants. Also, the program needs to continuous adjustment to the next generation with their social, home backgrounds.

• 대한방사선치료학회지
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• 제30권1_2호
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• pp.97-105
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• 2018

목 적 : Proton Therapy는 Bragg-peak를 이용해 종양에는 최대의 선량, 정상조직에는 최소의 선량을 줄 수 있는 특징을 가지고 있기 때문에 환자의 위치변화나 치료부위의 위치 변화를 정량화 할 수 있는 의료영상 분석 시스템은 양성자 치료에 있어서 무엇보다도 중요하다. 본 연구 목적은 Matlab 기반의 In-house Registration code를 제작하여 기존 DIPS program을 통한 Set-up과 In-house code를 통한 영상정합을 비교하여 Algorithm의 유용성을 평가하고 DIPS와 DRR간의 오차 값을 확인하여 기존 치료의 정확성을 평가하고자 한다. 대상 및 방법 : 본원에서 양성자 치료를 받은 13명의 뇌종양, 두경부암 환자를 대상으로 하였으며 영상비교에 필요한 DIPS Program System(Version 2.4.3, IBA, Belgium)와 환자의 치료계획을 위해 Eclipse Proton Planning System(Version 13.7, Varian, USA)을 사용하였다. Registration 방법에 대한 Validation을 위해 Test image를 인위적으로 회전 및 이동하여 기존 Image와 영상정합 하였고, 기존 Set up 방식의 DIPS program의 환자 일별 초기 Set up image를 plan DRR과 영상정합 하여 각각 오차 값을 얻어 Algorithm의 유용성을 평가하였다. 그리고 기존 Set up 방식의 정확성을 평가하기 위해 환자 일별 최종 Set up image와 DRR image를 영상정합하여 오차 값을 확인하였다. 결 과 : Test image를 left와 right 방향으로 각각 0.5, 1, 10 cm를 이동시켰을 때 평균 0.018 cm의 오차 값을 보였으며 시계와 반시계방향으로 각각 1, $10^{\circ}$씩 회전시켰을 경우에는 평균 $0.0011^{\circ}$의 오차를 나타냈다. 4명의 환자 일별 초기 image를 영상정합 하였을 때는 x, y, z 방향 순으로 평균 0.056, 0.044, 0.053 cm의 오차 값을 나타냈으며 Rotation, Pitch 순으로 0.190, $0.206^{\circ}$의 차이를 나타냈다. 13명의 환자 일별 최종 image를 영상 정합 하였을 때는 x, y, z 방향 순으로 평균 차이는 0.062, 0.085, 0.074 cm이였고 Vector 값으로는 평균 0.120 cm의 차이를 보였다. Rotation, Pitch 순으로는 평균 0.171, $0.174^{\circ}$의 차이 값을 나타냈다. 결 론 : 본 연구를 통해 제작된 Matlab 기반의 In-house Registration code는 단순한 Image 뿐만 아니라 해부학적 구조에서도 Intensity 기반의 정확한 영상정합을 나타냈다. 또한 기존 치료방식의 DIPS program을 통한 Set-up 오차는 매우 미미한 차이를 보임으로써 이는 양성자치료의 정확성을 확인할 수 있었다. 앞으로 임상적용을 위해 추가적인 프로그램 개발과 향후 Intensity 기반의 Matlab In-house code 연구가 필요하다고 사료된다.

• Interdisciplinary Bio Central
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• 제3권4호
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• pp.15.1-15.11
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• 2011

Background: Histone deacetylase (HDAC) 8 is one of its family members catalyzes the removal of acetyl groups from N-terminal lysine residues of histone proteins thereby restricts transcription factors from being expressed. Inhibition of HDAC8 has become an emerging and effective anti-cancer therapy for various cancers. Application computational methodologies may result in identifying the key components that can be used in developing future potent HDAC8 inhibitors. Results: Facilitating the discovery of novel and potential chemical scaffolds as starting points in the future HDAC8 inhibitor design, quantitative structure-activity relationship models were generated with 30 training set compounds using genetic function approximation (GFA) and Bayesian algorithms. Six GFA models were selected based on the significant statistical parameters calculated during model development. A Bayesian model using fingerprints was developed with a receiver operating characteristic curve cross-validation value of 0.902. An external test set of 54 diverse compounds was used in validating the models. Conclusions: Finally two out of six models based on their predictive ability over the test set compounds were selected as final GFA models. The Bayesian model has displayed a high classifying ability with the same test set compounds and the positively and negatively contributing molecular fingerprints were also unveiled by the model. The effectively contributing physicochemical properties and molecular fingerprints from a set of known HDAC8 inhibitors were identified and can be used in designing future HDAC8 inhibitors.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2002년도 추계학술대회 논문집(I)
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• pp.174-181
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• 2002

In this paper, we introduce the software of the measuring system for on-line test and evaluation of high speed rail. This software should set and control the hardware of the measuring system, perform the analysis and calculation of measuring data and interface between users and the measuring system. For this purpose, three programs, such as a measuring program, a monitoring program and post-processing program, have developed.

• 초등상담연구
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• 제5권1호
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• pp.119-137
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• 2006

The purpose of this study is to develop a group counseling program to improve the learning habits of the elementary school children who experience difficulties learning, because of their wrong learning habits. To achieve it, the sub-elements of learning habits are set by "learning motive & attitude" and "learning technique" A group counseling program composed of the essential factors suitable for each element are srhseqrently, devised to pursue the improvement of learning habits. The study propositions are set as follows: Can the group counseling program improve the learning habits of elementary school children? 1. Can the group counseling program improve the learning motive and attitude of elementary school children? 2. Can the group counseling program improve the learning technique of elementary school children? The subject of this study is the 4th graders of W elementary school located in Gwangju Metropolitan City. After selecting 12 pupils from low scorers after a learning habits test, Each 6 of those are randomly assigned to an experimental group and a control group, respectively. In this way, they are pcrticipate in the group counseling program. The group counseling program is consisted of 10 sessions. The program is implemented for six weeks with a 50 min duration per session. As a measuring tool, a restructured test with only motive variables and technique variables, excluding remaining variables, from the Learning Habits Test by Choi Jong-Ryul (1992) is used for pre and post tests. The results of the study is acquired by integrating the statistics from the test tool. Observation of the counselor and testees' thoughts are as follows: The group counseling program affects the sub-elements of learning habits positively, namely learning motive & attitude and learning technique. The program applied in this study is effective in improving the learning habits of the pupils with lower learning habits. Accordingly, this program can be one of the methods to develop effective learning habits, set efficient strategies and exert abilities maximally for the learners, who did not adequately exert their abilities, due to wrong learning habits, while ineffectively learning without knowing effective learning habits. To improve and maintain the learning habits of the elementary school pupils, overall understanding should be backed in order to precisely analyze and identify the learning habits of the pupils. Besides, an association between schools and homes is also needed along with parents' concerns over their children's learning habits at home.

• Bulletin of the Korean Chemical Society
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• 제30권5호
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• pp.1152-1156
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• 2009

Silent information regulator 2 (Sir2) or sirtuins are NAD(+)-dependent deacetylases, which hydrolyze the acetyllysine residues. In mammals, sirtuins are classified into seven different classes (SIRT1-7). SIRT1 was reported to be involved in age related disorders like obesity, metabolic syndrome, type II diabetes mellitus and Parkinson’s disease. Activation of SIRT1 is one of the promising approaches to treat these age related diseases. In this study, we have used HipHop module of CATALYST to identify a series of pharmacophore models to screen SIRT1 enhancing molecules. Three molecules from Sirtris Pharmaceuticals were selected as training set and 607 sirtuin activator molecules were used as test set. Five different hypotheses were developed and then validated using the training set and the test set. The results showed that the best pharmacophore model has four features, ring aromatic, positive ionization and two hydrogen-bond acceptors. The best hypothesis from our study, Hypo2, screened high number of active molecules from the test set. Thus, we suggest that this four feature pharmacophore model could be helpful to screen novel SIRT1 activator molecules. Hypo2-virtual screening against Maybridge database reveals seven molecules, which contains all the critical features. Moreover, two new scaffolds were identified from this study. These scaffolds may be a potent lead for the SIRT1 activation.

• 한국전산유체공학회지
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• 제9권3호
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• pp.73-80
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• 2004

A LS(Level Set) formulation is developed for computing two-phase flows on non- orthogonal meshes. Compared with the VOF(Volume-of-Fluid) method based on a non-smooth volume-fraction function, the LS method can calculate an interfacial curvature more accurately by using a smooth distance function. Also, it is quite straightforward to implement for 3-D irregular meshes compared with the VOF method requiring much more complicated geometric calculations. The LS formulation is implemented into a general purpose program for 3-D flows and verified through several test problems.

• Interdisciplinary Bio Central
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• 제4권1호
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• pp.2.1-2.7
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• 2012

Introduction: Histone deacetylases (HDAC) are a class of enzymes that remove acetyl groups from ${\varepsilon}$-N-acetyl lysine amino acids of histone proteins. Their action is opposite to that of histone acetyltransferase that adds acetyl groups to these lysines. Only few HDAC inhibitors are approved and used as anti-cancer therapeutics. Thus, discovery of new and potential HDAC inhibitors are necessary in the effective treatment of cancer. Materials and Methods: This study proposed a method using support vector machine (SVM) to classify HDAC8 inhibitors and non-inhibitors in early-phase virtual compound filtering and screening. The 100 experimentally known HDAC8 inhibitors including 52 inhibitors and 48 non-inhibitors were used in this study. A set of molecular descriptors was calculated for all compounds in the dataset using ADRIANA. Code of Molecular Networks. Different kernel functions available from SVM Tools of free support vector machine software and training and test sets of varying size were used in model generation and validation. Results and Conclusion: The best model obtained using kernel functions has shown 75% of accuracy on test set prediction. The other models have also displayed good prediction over the test set compounds. The results of this study can be used as simple and effective filters in the drug discovery process.

• Journal of Animal Science and Technology
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• 제63권2호
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• pp.440-452
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• 2021

The purpose of this study was to determine if an 8-week therapeutic riding (TR) program was effective in improving the walking ability of students with intellectual disabilities. Thirteen students diagnosed with intellectual disabilities participated in the TR program. TR sessions were conducted twice a week (30 min per session), with a total of 16 rides taking place over an 8-week period. A gait measurement analyzer was used to measure progress based on a turn test (6-m walking and turning test), walk test (10-m walking), and timed up and go (TUG) test. Measurements were made three times: before horse-riding (P0), after 4 weeks (8 rides) of horse-riding (P1), and after 8 weeks (16 rides) of horse-riding (P2). Data analysis was conducted using SPSS software (ver. 22.0). Descriptive statistics were generated on the general characteristics of the subjects, and the Kolmogorov-Smirnov test was used to verify the normality of the data. Because of the lack of normality, the data were analyzed using a nonparametric method and the significance level was set to 0.05. Measurements of the duration of the forward gait cycle (s) in the turn test and the forward gait speed (m/s) in the walk test indicated improved walking ability after the TR program (p < 0.001); the stride length (% height) also increased significantly (p < 0.05). The walk test revealed a significant effect of the program on the duration of the forward gait cycle (p < 0.05), while there were significant improvements on the left and right of the elaborated strides (p < 0.001). No significant improvement in TUG test performance was observed after the TR program. In this study, an 8-week TR program had positive results on gait. Therefore, further research is merited, where TR programs are likely to improve the walking ability of individuals with intellectual disabilities.