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Exploiting Language Models to Classify Events from Twitter
Vo, Duc-Thuan,Hai, Vo Thuan,Ock, Cheol-Young Hindawi Publishing Corporation 2015 Computational intelligence and neuroscience Vol.2015 No.-
<P>Classifying events is challenging in Twitter because tweets texts have a large amount of temporal data with a lot of noise and various kinds of topics. In this paper, we propose a method to classify events from Twitter. We firstly find the distinguishing terms between tweets in events and measure their similarities with learning language models such as ConceptNet and a latent Dirichlet allocation method for selectional preferences (LDA-SP), which have been widely studied based on large text corpora within computational linguistic relations. The relationship of term words in tweets will be discovered by checking them under each model. We then proposed a method to compute the similarity between tweets based on tweets' features including common term words and relationships among their distinguishing term words. It will be explicit and convenient for applying to k-nearest neighbor techniques for classification. We carefully applied experiments on the Edinburgh Twitter Corpus to show that our method achieves competitive results for classifying events.</P>
Thuan-Hieu Tran,장우진,김영범,구윤모,김은기,윤주영,김진환 한국생물공학회 2007 Biotechnology and Bioprocess Engineering Vol.12 No.5
The effect of fluidic conditions on the bioluminescent detection of ATP in a microfluidic device was surveyed using home-made detector system. The bioluminescent reaction of ATP was directly affected by the retention time and flow rates of the solutions in this diffusion-based mixing and reaction system due to the laminar flow in the microchannel. ATP and enzyme solutions were separately injected into the microfluidic device at different flow rates through 3 inlet ports. The ATP solution was injected through the middle port, while the enzyme solution was injected in the two remaining ports. When the ratio of ATP to enzyme solution was fixed, the optimum flow rates of enzyme, ATP, and enzyme solution was 3.5, 8.0, and 3.5 μL/min, respectively. The optimal total flow rate was 15 μL/min. The detection limit for the concentration of ATP at optimal conditions was less than 10-7 M.
STS 304 스테인리스강의 대기중 1050~1200˚C, 1시간 동안의 산화
Thuan Dinh Nguyen,이동복 대한금속·재료학회 2009 대한금속·재료학회지 Vol.47 No.4
The STS304 stainless steel was oxidized isothermally and cyclically at temperatures between 1050 and 1200˚C for 1 hr in air. During isothermal oxidation, it displayed good oxidation resistance at 1050˚C. However, it suffered from breakaway oxidation above 1100˚C, being accompanied with internal oxidation. During cyclic oxidation, it also displayed good oxidation resistance at 1050˚C, but it suffered from massive weight loss above 1125˚C. The oxide scales formed consisted primarily of Fe2O3, Fe3O4 with and without Cr2O3. They were generally non-adherent.
Thuan Nguyen,Duong Nguyen-Huu,Thinh Nguyen 한국통신학회 2021 Journal of communications and networks Vol.23 No.4
Recent free-space optical (FSO) communication tech nologies have demonstrated the feasibility of building WiFO, a highcapacity indoor wireless network using the femtocell architecture. In this paper, we introduce a cooperative transmission frameworkusing location assisted coding (LAC) technique to increase the over all wireless capacity. For a given network topology, LAC pro vides three different schemes with different coding/decoding pro cedures. Based on these schemes, achievable zero-error rate re gions for WiFO using LAC will be characterized. Both numericaland theoretical analyses are given to validate the proposed codingschemes.
Thuan NGUYEN-VO,Seyoung KO,Huichang RYU,Donghyuk KIM,Jung Rae KIM,Sunghoon PARK 한국생물공학회 2021 한국생물공학회 학술대회 Vol.2021 No.4
Toxicity of organic acids such as 3-hydroxypropionic acid (3-HP), propionic acid, lactic acid, is an important issue that limits microbial production of them at industrial levels (~ 1M). As a case study to tackle this problem, adaptive laboratory evolution has been successfully adopted to evolve Escherichia coli W for tolerance against 3-HP (1). Our previous study showed that the deletion of a less-characterised transcription factor (YieP) mainly responsible for the tolerance against 3-HP. In this current study, we exploited physiological and transcriptomics study (RNA-seq along with ChiP-exo) to study the mechanism that the deletion of yieP confers 3-HP tolerance. The growing experiment in several organic acids (C2-C4) suggested that yieP deletion conferred specific-anion tolerance toward 3-HP but not other organic acids. The transcriptomics along with deletion experiments suggested that deletion of yieP improved 3-HP tolerance via expression of two genes encoding inner membrane proteins yohJ and yohK. The role of YohJ/K was further studied using 3-HP responsive biosensor. Our results suggested that yohJK encode for (a) novel 3-HP exporter(s).