Emotion-based character clustering for managing story-based contents: a cinemetric analysis

Jung, Jason J.,You, Eunsoon,Park, Seung-Bo Springer-Verlag 2013 MULTIMEDIA TOOLS AND APPLICATIONS Vol.65 No.1

SUMOylation of pontin chromatin-remodeling complex reveals a signal integration code in prostate cancer cells.

Kim, Jung Hwa,Lee, Ji Min,Nam, Hye Jin,Choi, Hee June,Yang, Jung Woo,Lee, Jason S,Kim, Mi Hyang,Kim, Su-Il,Chung, Chin Ha,Kim, Keun Il,Baek, Sung Hee National Academy of Sciences 2007 Proceedings of the National Academy of Sciences Vol.104 No.52

<P>Posttranslational modification by small ubiquitin-like modifier (SUMO) controls diverse cellular functions of transcription factors and coregulators and participates in various cellular processes including signal transduction and transcriptional regulation. Here, we report that pontin, a component of chromatin-remodeling complexes, is SUMO-modified, and that SUMOylation of pontin is an active control mechanism for the transcriptional regulation of pontin on androgen-receptor target genes in prostate cancer cells. Biochemical purification of pontin-containing complexes revealed the presence of the Ubc9 SUMO-conjugating enzyme that underlies its function as an activator. Intriguingly, 5alpha-dihydroxytestosterone treatments significantly increased the SUMOylation of pontin, and SUMOylated pontin showed further activation of a subset of nuclear receptor-dependent transcription and led to an increase in proliferation and growth of prostate cancer cells. These data clearly define a functional model and provide a link between SUMO modification and prostate cancer progression.</P>

분산 환경에서 쿼리 변환을 위한 온톨로지 톨로지 매핑 결합

정재은(Jason J. Jung) 한국정보과학회 언어공학연구회 2007 한국정보과학회 언어공학연구회 학술발표 논문집 Vol.2007 No.10

온톨로지 기반 분산 정보시스템 환경에서는 시스템들 간의 정보 공유을 위해 전문가에 의한 명시적 온톨로지 매핑(Explicit Mapping)을 통해 의미적 이질성(Semantic Heterogeneity)을 해결하고 있다. 하지만, 온톨로지 매핑의 고비용성 때문에 모든 정보시스템들 간의 매핑이 이루어지기 힘들다. 따라서, 본 논문에서는 이미 존재하는 온톨로지 매핑 정보들의 재사용을 통해 존재하지 않은 온톨로지 매핑 정보를 묵시적으로 예측하고자 한다. 본 논문에서는 이와 같은 분산 환경에서의 쿼리 전송을 통한 지식 검색에 있어서의 온톨로지 매핑을 기반으로 한 적절한 쿼리 변환 방법론을 소개하고자 한다.

Exosomes: A new delivery system for tumor antigens in cancer immunotherapy

Cho, Jung-Ah,Yeo, Dong-jun,Son, Hye-Youn,Kim, Hyun-Wha,Jung, Dae-Sun,Ko, Jae-Kyun,Koh, Jason Soonju,Kim, Yong-Nyun,Kim, Chul-Woo Alan R. Liss, Inc 2005 International journal of cancer Vol.114 No.4

<P>Exosomes are small membrane vesicles that are released into the extracellular environment during fusion of multivesicular bodies with plasma membrane. Exosomes are secreted by various cell types including hematopoietic cells, normal epithelial cells and even some tumor cells. They are known to carry MHC class I, various costimulatory molecules and some tetraspanins. Recent studies have shown the potential of using native exosomes as immunologic stimulants. Here, we demonstrate a novel means of using exosomes engineered to express a specific tumor antigen to generate an immune response against tumors. We expressed a target tumor antigen, human MUC1 (hMUC1), in 2 MHC type-distinct mouse cell lines, CT26 and TA3HA. Analysis of exosomes purified from these cells revealed that exosomes contained the target MUC1 antigen on their surfaces as well as other well-described exosomal proteins, including Hsc70 and MHC class I molecules. In addition, both autologous and allogenic exosomes were able to stimulate the activation of immune cells and suppress hMUC1-expressing tumor growth in a MUC1-specific and dose-related manner. Therefore, these data suggest that exosomes can be engineered from tumor cell lines to deliver a target immunogen capable of inducing an effective immune response and that they may represent a new cell-free tumor vaccine. © 2004 Wiley-Liss, Inc.</P>

센서 네트워크의 데이터 스트림 마이닝을 위한 온톨로지 기반의 전처리 기법

정재은(Jason J. Jung) 한국지능정보시스템학회 2009 지능정보연구 Vol.15 No.3

다양한 센서의 개발과 센서 네트워크 구축으로 인해 특정 공간의 환경 데이터를 수집할 수 있다. 보다 유용한 정보 및 지식의 발견을 위하여 데이터 마이닝(Data mining) 기법이 활용되는 연구들이 소개되었다. 본 연구에서는 이와 같은 데이터 마이닝 기법의 효율성 증대를 위하여 센서 네트워크로부터의 데이터 스트림의 전처리 과정(Preprocessing)을 수행하고자 한다. 제안하는 센서 스트림 데이터의 전처리 과정은 i) 세션 확인(Session identification)과 ii) 오류 검증(Error detection) 문제를 해결하고자 한다. 특히, 이를 위해 각 센서 장비로부터 수집되는 데이터의 의미(Semantics)를 표현하고 있는 온톨로지(Ontology)를 적용한다. 본 연구 결과의 성능 평가를 위하여 센서 네트워크 테스팅 환경을 교내에 설치하였으며 30여일 동안 수집된 데이터를 이용하여 시뮬레이션을 실행하였다. By a number of sensors and sensor networks, we can collect environmental information from a certain sensor space. To discover more useful information and knowledge, we want to employ data mining methodologies to sensor data stream from such sensor spaces. In this paper, we present a novel data preprocessing scheme to improve the performances of the data mining algorithms. Especially, ontologies are applied to represent meanings of the sensor data. For evaluating the proposed method, we have collected sensor streams for about 30 days, and simulated them to compare with other approaches.

분산 환경에서의 쿼리 변환을 위한 온톨로지 매핑 결합

정재은(Jason J. Jung) 한국지능정보시스템학회 2008 지능정보연구 Vol.14 No.4

온톨로지 기반 분산 정보시스템 환경에서는 시스템들 간의 자동화된 정보 공유를 지원하기 위해서 온톨로지 간의 의미적 이질성(semantic heterogeneity)을 해결해야 한다. 일반적으로 전문가들에게 미리 온톨로지들 간의 명시적 매핑(explicit mapping between ontologies)을 요청하고 있다. 하지만, 온톨로지 매핑의 고비용성 문제 때문에 모든 정보시스템들의 온톨로지 간의 일대일 매핑이 이루어지기 힘들다. 따라서, 본 논문에서는 분산된 온톨로지들 간의 매핑정보를 수집하고 재사용(reuse) 하고자 한다. 즉, 분산 환경에서 활용 가능한 온톨로지 매핑 정보의 결합(composition)을 위한 방법론을 제안한다. 이를 통해 주어진 두 온톨로지 간의 매핑 정보를 간접적으로 예측할 수 있게 된다. 특히, 본 연구에서 제안하는 온톨로지 매핑 결합 기법의 성능 평가를 위하여, 자동화된 쿼리 전송(propagation) 및 변환(transformation) 시스템에 적용하였다. Semantic heterogeneity should be overcome to support automated information sharing process between information systems in ontology-based distributed environments. To do so, traditional approaches have been based on explicit mapping between ontologies from human experts of the domain. However, the manual tasks are very expensive, so that it is difficult to obtain ontology mappings between all possible pairs of information systems. Thereby, in this paper, we propose a system to make the existing mapping information sharable and exchangeable. It means that the proposed system can collect the existing mapping information and aggregate them. Consequently, we can estimate the ontology mappings in an indirect manner. In particular, this paper focuses on query propagation on the distributed networks. Once we have the indirect mapping between systems, the queries can be efficiently transformed to automatically exchange knowledge between heterogeneous information systems.

Fine mapping of suppressor of the fruit shape gene OVATE using SNP markers in tomato

Hyun Jung Kim,Jason Van Houten,Esther van der Knaap 한국육종학회 2014 한국육종학회 심포지엄 Vol.2014 No.07

The fruit shape is an important character in tomato. OVATE is one of genes controlling fruit elongation in tomato. Two loci suppress the ovate mutation, sov1 and sov2, on chromosome 10 and chromosome 11 respectively. sov1 appears to control neck constriction in the fruits (Rodriguez et al, 2013). We sequenced the genomes of Gold Ball Livingston and Yellow Pear using the Illumina Hiseq 2000 generating 101 PE reads and developed molecular markers tightly linked to sov1. The locus was confirmed by fruit shape index analysis, marker genotyping and progeny testing of recombinants. We find mapped sov1 to a 145 kb interval corresponding to a region comprising two candidate genes. One of the candidate genes for sov1 is SlOFP20 another member of the Ovate Family Protein class. Although there is no difference expression of SlOFP20 in the parents at anthesis, when the gene is expressed very high, the mutation appears to be a 34 kb promoter deletion of SlOFP20 in Yellow Pear, conferring a pear shaped and neck-constricted fruit.

Clinical significance of delta neutrophil index in the differential diagnosis between septic arthritis and acute gout attack within 24 hours after hospitalization

Pyo, Jung Yoon,Kim, Dae Sik,Jung, Seung Min,Song, Jason Jungsik,Park, Yong-Beom,Lee, Sang-Won,Lai., Jenn-Haung Williams & Wilkins Co 2017 Medicine Vol.96 No.30

<▼1><P>Supplemental Digital Content is available in the text</P></▼1><▼2><P><B>Abstract</B></P><P>The most important differential diagnoses of acute monoarticular arthritis are septic arthritis and acute gout attack. Identifying infection is crucial in preventing the devastating outcome of septic arthritis. The delta neutrophil index (DNI) is a value that corresponds to the fraction of circulating immature granulocytes. As DNI reflects the burden of infection, we evaluated this index as a differentiating marker between septic arthritis and acute gout attack.</P><P>The medical records of 149 patients with septic arthritis and 194 patients with acute gout attack were reviewed. A specific cell analyzer, ADVIA 2120, was used to measure DNI. Clinical and laboratory markers associated with predicting septic arthritis were assessed by using logistic regression.</P><P>Patients with septic arthritis showed higher levels of DNI than those with acute gout attack (3.3 vs 0.6%, <I>P</I> < .001). Similar results were observed in patients without monosodium urate (MSU) crystal confirmation or those with normouricemia (3.3 vs 0.5 and 3.1 vs 0.7%, respectively; <I>P</I> < .001 for both). A DNI level of 1.9% was determined as the cutoff value for predicting septic arthritis. In the multivariate analysis, DNI was the most powerful independent value for predicting septic arthritis (odds ratio 14.003).</P><P>This study showed the possibility of using DNI as a differentiating marker between septic arthritis and acute gout attack at the crucial early phase. DNI showed its relevance regardless of confirmation of MSU crystal deposition or serum level of uric acid.</P></▼2>

Understanding information propagation on online social tagging systems: a case study on Flickr

Springer-Verlag 2014 Quality & quantity Vol.48 No.2

Demand and Supply Curves for Individual Stocks, Financial Crises, and the Incompleteness of Arbitrage

Jung-Wook Kim,Jason Lee,Randall Morck 한국재무학회 2010 한국재무학회 학술대회 Vol.2010 No.11

Using complete order books from the Korea Stock Exchange for a four-year period including the 1997 Asian financial crisis, we observe (not estimate) complete limit order demand and supply schedules for individual stocks. Both have demonstrably finite elasticities, indicating that individual stocks exhibit economically large private valuation heterogeneity across investors. Both elasticities fall markedly, by about 40%, with the crisis and remain depressed long after the stock market recovers to its pre-crisis level – consistent with a lingering post-crisis impairment in information diffusion. Superimposed upon this common long-term pattern, individual stocks’ demand and supply elasticities correlate negatively at daily frequencies. That is, whenever a stock exhibits unusually elastic demand, it tends simultaneously to exhibit unusually inelastic supply, and vice versa. Moreover, if demand is flat relative to supply at the open, subsequent intraday returns are higher. We propose that limit order books react to trading patterns indicating possible private information: aggressive orders on one side of the order book increases its elasticity, but this elevates perceived adverse selection risk on the other side of the order book, inducing order cancellations that reduce its elasticity. Arbitrage may thus limit its own profits by steepening the price schedule on the opposite side of the market. If rational market participants cannot distinguish informed from uninformed order surges, this steepening feedback may similarly magnify price fluctuations unrelated to fundamentals.