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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 Nguyen Van,노혁천 대한토목학회 2017 KSCE JOURNAL OF CIVIL ENGINEERING Vol.21 No.4
In this study, the stochastic finite element solution is given to obtain the response variability in the natural frequency of Functionally Graded Material (FGM) beam due to uncertain structural parameters. Among others, the elastic modulus and mass density are chosen to have randomness along the beam axis direction, which are modeled as one-dimensional homogeneous stochastic processes. The stochastic analysis of the FGM beam is performed in conjunction with Monte Carlo simulation (MCS). Random samples of random parameters are generated based on the spectral representation method. The response variability in the natural frequency of FGM beam, due not only to the single random parameter of elastic modulus or mass density but also to both of the random parameters taken into account at the same time is investigated. The effect of respective random parameters on the response variability of natural frequency and the effect of correlation between the two random parameters as well are discussed in detail.
Thuan Anh Vo,구윤모,김진수,김승수 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.122 No.-
Non-precious metal catalysts (10 wt% loading) over activated carbon (AC) and TiO2–SiO2 supports preparedvia incipient wetness impregnation and spray pyrolysis were characterized using various analyticaltechniques. AC with a higher surface area displayed a better ability than TiO2–SiO2 in syringol conversionand hydrocarbon product selectivity. Compared to Fe and NiFe catalysts, the Ni catalyst showed moreeffective hydrodeoxygenation performance in terms of syringol conversion, selectivity, and the yield ofoxygen-free products (mainly alkylbenzenes via transalkylation reactions). The deoxygenation abilitywas confirmed via the moisture and COx release. The highest syringol conversion (99.91%) could beobtained using 10 wt% Ni/AC. Generally, syringol hydrodeoxygenation in a fixed-bed reactor followedthe main reaction pathway of the hydrogenolysis of CAr–OC(sp3) and CAr–OH rather than the hydrogenationof the benzene ring, producing p-xylene, phenol, and cresols as the major products. Besides metalliccatalysts and supports, the reaction temperature and the total flow rate of the H2/Ar mixture onhydrodeoxygenation performance were also investigated. Our study provides a promising potential inthe utilization of non-precious metals and biomass-derived AC to remove oxygen from bio-oil modelcompounds, contributing to the development of sustainable renewable energy.
A Phenylpropanoid Glycoside with Antioxidant Activity from Picria tel-ferae
Thuan, Nguyen Duy,Ha, Do Thi,Thuong, Phuong Thien,Na, Min-Kyun,Lee, Jong-Pill,Lee, Jeong-Hun,Seo, Hyo-Won,Kim, Jin-Cheol,Bae, Ki-Hwan,Min, Byung-Sun 대한약학회 2007 Archives of Pharmacal Research Vol.30 No.9
A phytochemical study on Picria tel-ferae resulted in the isolation of a phenylpropanoid glycoside (1), which was reported for the first time from this plant. The structure of compound 1 was identified as $1-O-3,4-(dihydroxyphenyl)-ethyl-{\beta}-D-apiofuranosyl-(1{\rightarrow}4)-{\alpha}-L-rharmnopyranosyl-(1{\rightarrow}3)-4-O-caffeoyl-{\beta}-D-glucopyranoside$ on the basis of spectroscopic analyses. In addition, it was found that 1 exhibited a remarkable inhibitory effect on lipid peroxidation initiated by either a free radical [AAPH; 2,2'-azobis-(2-amidinopropane)dihydrochloride] or generated hydroxyl radical ($Fe^{2+}/ascorbate$). These findings, together with those of previous studies, suggest that P. tel-ferae possesses abundant phenylpropanoid glycosides, and the plant might be used beneficially in the treatment of oxidative stress-related human diseases.
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).