• 제목/요약/키워드: random walk approach

검색결과 26건 처리시간 0.028초

생체 다공성 매질에서 분자 확산 측정을 위한 영상 기반 형광 광표백 기법 개발 (Development of Image-based Fluorescence Photobleaching Technique for Measuring Macromolecule Diffusion in Biological Porous Medium)

  • 이동희;이정훈;박춘호;김중경
    • 한국가시화정보학회지
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    • 제7권1호
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    • pp.9-13
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    • 2009
  • Fluorescence recovery after photobleaching (FRAP) has been widely used for the measurement of molecular diffusion in living cells and tissues. We developed an image-based FRAP (iFRAP) technique using a modified real-time microscope and a 488 nm Ar-ion laser. A fractional intensity curve was obtained from the time-lapse images of fluorescence recovery in the bleached spot to determine the diffusion coefficient of fluorescently labeled macromolecules in porous medium. We validated iFRAP through experiments with agar gels (0.5% and 1.5% w/v) containing FITC-Dextrans (10, 70 and 500 kDa MW). Further validation was performed by a Monte Carlo approach, where we simulated the three-dimensional random walk of macromolecules in agar gel model. Diffusion coefficients were deduced from the mean square displacement curves and showed good agreements with those measured by iFRAP.

거시경제 변수 변화와 KOSPI 지수 변동의 연관성 분석 (The Empirical Study of Variation of KOSPI Index & Macro Economic Variation)

  • 안창호;최창열
    • 통상정보연구
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    • 제12권4호
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    • pp.171-192
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    • 2010
  • In general, a stock index and its individual stocks are assumed to follow a random walk. A stock index is an important source of information and one that is seen by people everyday, regardless of their investment intentions. This paper examines the correlation between the KOSPI-the index that best reflects the Korean stock market and the macro - economic variables that have been found to influence the index by previous studies. The sample period considers the years after 2000 when the Korean stock market matured as restrictions on foreign investors were removed. For this purpose, a Vector Error Correction Model (VECM) and KOSPI equation with a general pacific approach were used. This paper aims at verifying the factors that determined the KOSPI after 2000 and at examining whether there was structural change in the investment environment. It also investigates changes in the factors determining the KOSPI's performance as a result of structural changes in the investment environment. The V AR (Vector Autoregressive) model including the nine variables was selected as a baseline model whose stability was tested using the unit root test. The results from the VECM and the structural changes in the investment environment can be summarized by the following Inner story points.

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Summarizing the Differences in Chinese-Vietnamese Bilingual News

  • Wu, Jinjuan;Yu, Zhengtao;Liu, Shulong;Zhang, Yafei;Gao, Shengxiang
    • Journal of Information Processing Systems
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    • 제15권6호
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    • pp.1365-1377
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    • 2019
  • Summarizing the differences in Chinese-Vietnamese bilingual news plays an important supporting role in the comparative analysis of news views between China and Vietnam. Aiming at cross-language problems in the analysis of the differences between Chinese and Vietnamese bilingual news, we propose a new method of summarizing the differences based on an undirected graph model. The method extracts elements to represent the sentences, and builds a bridge between different languages based on Wikipedia's multilingual concept description page. Firstly, we calculate the similarity between Chinese and Vietnamese news sentences, and filter the bilingual sentences accordingly. Then we use the filtered sentences as nodes and the similarity grade as the weight of the edge to construct an undirected graph model. Finally, combining the random walk algorithm, the weight of the node is calculated according to the weight of the edge, and sentences with highest weight can be extracted as the difference summary. The experiment results show that our proposed approach achieved the highest score of 0.1837 on the annotated test set, which outperforms the state-of-the-art summarization models.

Percentile-Based Analysis of Non-Gaussian Diffusion Parameters for Improved Glioma Grading

  • Karaman, M. Muge;Zhou, Christopher Y.;Zhang, Jiaxuan;Zhong, Zheng;Wang, Kezhou;Zhu, Wenzhen
    • Investigative Magnetic Resonance Imaging
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    • 제26권2호
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    • pp.104-116
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    • 2022
  • The purpose of this study is to systematically determine an optimal percentile cut-off in histogram analysis for calculating the mean parameters obtained from a non-Gaussian continuous-time random-walk (CTRW) diffusion model for differentiating individual glioma grades. This retrospective study included 90 patients with histopathologically proven gliomas (42 grade II, 19 grade III, and 29 grade IV). We performed diffusion-weighted imaging using 17 b-values (0-4000 s/mm2) at 3T, and analyzed the images with the CTRW model to produce an anomalous diffusion coefficient (Dm) along with temporal (𝛼) and spatial (𝛽) diffusion heterogeneity parameters. Given the tumor ROIs, we created a histogram of each parameter; computed the P-values (using a Student's t-test) for the statistical differences in the mean Dm, 𝛼, or 𝛽 for differentiating grade II vs. grade III gliomas and grade III vs. grade IV gliomas at different percentiles (1% to 100%); and selected the highest percentile with P < 0.05 as the optimal percentile. We used the mean parameter values calculated from the optimal percentile cut-offs to do a receiver operating characteristic (ROC) analysis based on individual parameters or their combinations. We compared the results with those obtained by averaging data over the entire region of interest (i.e., 100th percentile). We found the optimal percentiles for Dm, 𝛼, and 𝛽 to be 68%, 75%, and 100% for differentiating grade II vs. III and 58%, 19%, and 100% for differentiating grade III vs. IV gliomas, respectively. The optimal percentile cut-offs outperformed the entire-ROI-based analysis in sensitivity (0.761 vs. 0.690), specificity (0.578 vs. 0.526), accuracy (0.704 vs. 0.639), and AUC (0.671 vs. 0.599) for grade II vs. III differentiations and in sensitivity (0.789 vs. 0.578) and AUC (0.637 vs. 0.620) for grade III vs. IV differentiations, respectively. Percentile-based histogram analysis, coupled with the multi-parametric approach enabled by the CTRW diffusion model using high b-values, can improve glioma grading.

미세유로 내에서 Pseudomonas aeruginosa의 유영 운동 분석 (Analysis of Pseudomonas aeruginosa Motility in Microchannels)

  • 장성찬;정헌호;이창수
    • Korean Chemical Engineering Research
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    • 제50권4호
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    • pp.743-748
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    • 2012
  • 본 논문에서는 미세 환경이 Pseudomonas aeruginosa의 운동성에 주는 영향을 조사하기 위하여 다양한 크기의 미세유로 내에서 박테리아의 운동성을 분석하였다. 본 논문에서는 미세유체 칩을 사용하여 2차원 공간을 만들며, $10{\sim}100{\mu}m$ 너비의 채널 안에서 단일 박테리아의 운동 변수인 이동속도, 'run'운동 지속시간, 'tumble' 각도를 측정하였고 각 미세유로 내에서 박테리아의 운동을 표현할 수 있는 물리적 상수인 random motility coefficient를 구하였다. 상기의 물리적 측정치를 분석한 결과, 박테리아는 공간제약이 있는 경우 편모의 운동이 채널의 벽의 영향으로 인하여 회전 운동에 영향을 받게 되고, 'run' 운동 지속 시간이 짧아지는 것을 확인하였다. 따라서, 공간의 제한이 박테리아의 운동성을 감소시킴을 알 수 있었다. 본 연구의 결과는 박테리아의 운동성을 쉽고 정확하게 분석할 수 있는 측정 방법으로 널리 활용될 것으로 기대된다.

해운대 해수욕장의 이안류 발생기구 및 수치모의 (Generation Mechanism and Numerical Simulation of Rip Current at Haeundae Beach)

  • 김인철;이주용;이정렬
    • 한국해안·해양공학회논문집
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    • 제23권1호
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    • pp.70-78
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    • 2011
  • 2009년 8월 13일과 15일, 부산 해운대 해수욕장 앞 해상에서 이안류가 발생하였다. 또한, 올 여름인 2010년 7월 29일과 30일에도 이안류가 발생하여 피서객 들이 조난된 사고가 발생하였다. 해수욕객들은 전원 구조되어 인명 피해는 발생하지 않았지만 최근 이안류 발생이 너무 잦아져 이에 대한 원인파악과 대책마련이 시급한 실정이다. 본 논문에서는 파랑모형과 조류가 결합된 해빈류 모형을 기본으로 튜브거동까지 재현되는 사용자 편의를 위하여 GUI로 개발된 HAECUM 모형(HAEundae CUrrent Model)을 이용, 해운대 해수욕장의 이안류 발생 수치모의를 실시하였다.