• Title/Summary/Keyword: random walk approach

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

  • Lee, Dong-Hee;Lee, Jeong-Hoon;Park, Choon-Ho;Kim, Jung-Kyung
    • Journal of the Korean Society of Visualization
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    • v.7 no.1
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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.

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

  • An, Chang-Ho;Choi, Chang-Yeoul
    • International Commerce and Information Review
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    • v.12 no.4
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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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    • v.15 no.6
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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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    • v.26 no.2
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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.

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

  • Jang, Sung-Chan;Jeong, Heon-Ho;Lee, Chang-Soo
    • Korean Chemical Engineering Research
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    • v.50 no.4
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    • pp.743-748
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    • 2012
  • This study presents the effects of micro-geometries on the swimming behavior of Pseudomonas aeruginosa. First, we have measured parameters of single-cell motility including cell speed, run duration time, and tumble angle under two dimensional space. The results are used to calculate motility coefficients in the width of microchannels ranging from 10 to $100{\mu}m$. Since the single-cell motility parameters measured depend on the interaction of flagella with the microchannel wall, the duration time of the running cell in restricted geometries is distinctively different. Therefore, the motility of bacteria is decreased by restricted geometries. This study suggests that microfluidic approach is useful tool for the analysis of bacterial motility under the restricted space and rapid analytical tool.

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

  • Kim, In-Chul;Lee, Joo-Yong;Lee, Jung-Lyul
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.23 no.1
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    • pp.70-78
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    • 2011
  • At Haeundae Beach in Busan, people were swept away by the fast-moving rip current and rescued, on August 13th and 15th, 2009 & July 29th and 30th, 2010. In predicting the wave-induced current and consequent tube movement for public safety, the coastal flows and waves are calculated at each time step and grid point by means of systematic interfacing of hydrodynamic and wave models (Lee, 2001). To provide a user-friendly simulation tool for end-users, the forecasting system has been built in a software package called HAECUM. Outputs from the system are viewed as graphs of tube positions with combined current vectors for easy decision of emergency management officials. The tube-wave interaction is taken into account and the traces of swim tube are simulated by using a Lagrangian random walk (Chorin, 1978; Lee, 1994). In this study, we use the Lee's approach (Lee, 1993) in estimating the surface onshore currents due to wave breaking.