Gut-microbiome Taxonomic Profiling as Non-invasive Biomarkers for the Early Detection of Alcoholic Hepatocellular Carcinoma

( Jun Seok ),( Ki Tae Suk ) 대한간암학회 2020 대한간암학회지 Vol.20 No.1

Background/Aims: Hepatocellular carcinoma (HCC) is a prevalent form of primary liver cancer and the fifth leading cause of worldwide cancer mortality. Though early diagnosis of HCC is important, so far lack of effective biomarkers for early diagnosis of HCC has been a problem. In this study, we searched for potential functional biomarkers of alcoholic HCC by using metagenomics approach. Methods: Between September 2017 and April 2019, normal control (n=44), alcoholic liver cirrhosis (n=44), and alcoholic HCC (n=13) groups were prospectively enrolled and analyzed. Gut microbiota was analyzed using the 16S-based microbiome taxonomic profiling platform of EzBioCloud Apps and analyzing system. Results: There was a statistically significant difference among groups in diversity (P<0.05). In the comparison of phylum between cirrhosis and HCC, Proteobacteria were increased and Bacteroidetes were decreased. Firmicutes were not significantly different among the three groups. In the taxonomic profiling, relative abundance of Lactobacillus in the cirrhosis and HCC groups showed richness (P<0.05). In the biomarker analysis between cirrhosis and HCC, obiquinome Fe-S protein 3, global nitrogen regulator, Vesicle-associated membrane protein 7, toxin YoeB, peroxisome-assembly ATPase, and nitrogen oxide reductase regulator were differently expressed (P<0.001). Conclusions: Alcoholic HCC showed different expressions in the stool taxonomy and biomarker compared with that of cirrhosis and control. Therefore, new biomarkers using stool analysis for alcoholic HCC are necessary. (J Liver Cancer 2020;20:32-40)

Adaptive Feedforward Compensation for High Power Amplifier Nonlinearity Using a Digital Signal Processing Technique

Junseok Oh,Min Kim,Jongman Gim,Changsoo Eun 대한전자공학회 2008 ICEIC:International Conference on Electronics, Inf Vol.1 No.1

We propose a compensation scheme for high power amplifier nonlinearity using a digital signal processing technique and a feed forward configuration. Since we adopte a feedforward configuration, we can apply our scheme to the existing transmitter with little modification. Moreover, system instability that might arise due to feedback is avoided. The proposed scheme is applied to the mobile WiMax system which uses OFDM modulation. We obtained more than 20 ㏈ suppression in out-of-band spectral regrowth.

Solving higher order nonlinear equations using adaptive mesh refinement

Junseok Kim 한국산업응용수학회 2006 한국산업응용수학회 학술대회 논문집 Vol.1 No.1

〈이미지 참조〉

TWISTED HOPF COMODULE ALGEBRAS

Junseok Park 호서대학교 기초과학연구소 2000 기초과학연구 논문집 Vol.8 No.1

A NUMERICAL METHOD FOR THE QUATERNARY CAHN-HILLIARD SYSTEM

Junseok Kim 한국산업응용수학회 2006 한국산업응용수학회 학술대회 논문집 Vol.1 No.2

We consider a second-order conservative nonlinear multi grid method for the quaternary Cahn-Hilliard system of a model for phase separation in a quaternary mixture. First, the standard finite difference approximation in spatial discretization and the Crank-Nicholson semi-implicit scheme in temporal one are used. Then, the resulting discretized equations are solved by an efficient nonlinear multigrid method. We perform standard test problems to demonstrate the accuracy, flexibility, and robustness of this method.

A Technical Approach for Suggesting Research Directions in Telecommunications Policy

( Junseok Oh ),( Bong Gyou Lee ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.12

The bibliometric analysis is widely used for understanding research domains, trends, and knowledge structures in a particular field. The analysis has majorly been used in the field of information science, and it is currently applied to other academic fields. This paper describes the analysis of academic literatures for classifying research domains and for suggesting empty research areas in the telecommunications policy. The application software is developed for retrieving Thomson Reuters` Web of Knowledge (WoK) data via web services. It also used for conducting text mining analysis from contents and citations of publications. We used three text mining techniques: the Keyword Extraction Algorithm (KEA) analysis, the co-occurrence analysis, and the citation analysis. Also, R software is used for visualizing the term frequencies and the co-occurrence network among publications. We found that policies related to social communication services, the distribution of telecommunications infrastructures, and more practical and data-driven analysis researches are conducted in a recent decade. The citation analysis results presented that the publications are generally received citations, but most of them did not receive high citations in the telecommunications policy. However, although recent publications did not receive high citations, the productivity of papers in terms of citations was increased in recent ten years compared to the researches before 2004. Also, the distribution methods of infrastructures, and the inequity and gap appeared as topics in important references. We proposed the necessity of new research domains since the analysis results implies that the decrease of political approaches for technical problems is an issue in past researches. Also, insufficient researches on policies for new technologies exist in the field of telecommunications. This research is significant in regard to the first bibliometric analysis with abstracts and citation data in telecommunications as well as the development of software which has functions of web services and text mining techniques. Further research will be conducted with Big Data techniques and more text mining techniques.

Tracking by Sampling and IntegratingMultiple Trackers

Junseok Kwon,Kyoung Mu Lee IEEE 2014 IEEE transactions on pattern analysis and machine Vol.36 No.7

<P>We propose the visual tracker sampler, a novel tracking algorithm that can work robustly in challenging scenarios, where several kinds of appearance and motion changes of an object can occur simultaneously. The proposed tracking algorithm accurately tracks a target by searching for appropriate trackers in each frame. Since the real-world tracking environment varies severely over time, the trackers should be adapted or newly constructed depending on the current situation, so that each specific tracker takes charge of a certain change in the object. To do this, our method obtains several samples of not only the states of the target but also the trackers themselves during the sampling process. The trackers are efficiently sampled using the Markov Chain Monte Carlo (MCMC) method from the predefined tracker space by proposing new appearance models, motion models, state representation types, and observation types, which are the important ingredients of visual trackers. All trackers are then integrated into one compound tracker through an Interacting MCMC (IMCMC) method, in which the trackers interactively communicate with one another while running in parallel. By exchanging information with others, each tracker further improves its performance, thus increasing overall tracking performance. Experimental results show that our method tracks the object accurately and reliably in realistic videos, where appearance and motion drastically change over time, and outperforms even state-of-the-art tracking methods.</P>

SCHWARTZ P SURFACES FOR TISSUE SCAFFOLDS

Junseok KIM,Joong Yeon LIM,Seonggi KIM,Darae JEONG,Hyun Geun LEE,Dongsun LEE,Jaemin SHIN 한국산업응용수학회 2010 한국산업응용수학회 학술대회 논문집 Vol.5 No.2

Tissue scaffolds provide temporary mechanical support for tissue regeneration while shaping ingrowth tissues. Therefore tissue scaffolds should be biocompatible, biodegradable with appropriate porosity, pore structure, and pore distribution. The design of optimized tissue scaffolds based on the fundamental knowledge of its microstructure is an important issue. In this paper, we generate the Schwarz primitive (P) surface with various volume fractions and explore its use. The Schwarz primitive (P) surface enable the design of vary high surface-to-volume ratio structure with high porosity and mechanical properties.

Bedside endoscopy of patients with gastrointestinal bleeding: early does not mean hurried

( Junseok Park ) 대한내과학회 2018 The Korean Journal of Internal Medicine Vol.33 No.2

Wang-Landau Monte Carlo-Based Tracking Methods for Abrupt Motions

Junseok Kwon,Kyoung Mu Lee IEEE 2013 IEEE transactions on pattern analysis and machine Vol.35 No.4

<P>We propose a novel tracking algorithm based on the Wang-Landau Monte Carlo (WLMC) sampling method for dealing with abrupt motions efficiently. Abrupt motions cause conventional tracking methods to fail because they violate the motion smoothness constraint. To address this problem, we introduce the Wang-Landau sampling method and integrate it into a Markov Chain Monte Carlo (MCMC)-based tracking framework. By employing the novel density-of-states term estimated by the Wang-Landau sampling method into the acceptance ratio of MCMC, our WLMC-based tracking method alleviates the motion smoothness constraint and robustly tracks the abrupt motions. Meanwhile, the marginal likelihood term of the acceptance ratio preserves the accuracy in tracking smooth motions. The method is then extended to obtain good performance in terms of scalability, even on a high-dimensional state space. Hence, it covers drastic changes in not only position but also scale of a target. To achieve this, we modify our method by combining it with the N-fold way algorithm and present the N-Fold Wang-Landau (NFWL)-based tracking method. The N-fold way algorithm helps estimate the density-of-states with a smaller number of samples. Experimental results demonstrate that our approach efficiently samples the states of the target, even in a whole state space, without loss of time, and tracks the target accurately and robustly when position and scale are changing severely.</P>