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Le-Hung Linh,Nguyen-Thi Hang,Kyung-Ho Kang,Young-Tae Lee,Soo-Jin Kwon,Sang-Nag Ahn 한국작물학회 2007 한국작물학회 학술발표대회 논문집 Vol.2007 No.11
Heading date in rice is a complex trait that is governed by multiple genes and environmental factors, such as day-length, temperature, and soil conditions. The genetic studies using DNA markers have facilitated the genetic dissection of heading date and many quantitative trait loci (QTLs) for heading date have been identified using several mapping population. In a previous study, a new quantitative trait loci (QTLs) for heading date have been identified using several mapping population. In a previous study, a new for heading date was detected near SSR marker RM215 on chromosome 9 using an advanced backcross line, WH29001, developed by introgressing chromosomal segments from an accession of Oryzaminuta (2n=48, BBCC, Acc. No.101141)into the O. sativa subsp. japonica cv. Hwaseongbyeo. The O. minuta allele of QTL contributed to an increase in heading date. To clarify whether dth9 could be dissected genetically, a high-resolution linkage mapping of dth9 was performed using alarge F2 population derived form the cross between one F4 plant which was homozygous for O.minuta in the target region RM5661-RM215 on chromosome9 and Hwaseongbyeo. Days to heading in the F2 population showed continuous variation rang form 102 to 113 days. The dth9 QTL further narrowed down at the interval between the SSR marker RM1553 and RM215 which was approximately 403kb in length based on the physical map of the region. The QTL for heading date(dth9) had not been detected in previous QTL studies between Oryza cultivars, indicating the existence of potentially novel alleles from O. minuta.
Anammox 생물막 반응기를 이용한 저농도 폐수 처리
( Linh-thy Le ),장덕진 ( Jahng Deokjin ) 한국물환경학회 2020 한국물환경학회·대한상하수도학회 공동 춘계학술발표회 Vol.2020 No.-
The Anaerobic Ammonium Oxidation (Anammox) process was firstly discovered in the early 1990s (Mulder et al., 1995). It has been known as a novel and cost-effective biological process typically to treat wastewater had high nitrogen concentration and low concentration of chemical oxygen demand (COD) (Jetten et al., 1999; Wang et al., 2011). In this process, Anammox bacteria directly oxidize ammonia to nitrogen gas (N<sub>2</sub>) with nitrite as an electron donor under strictly anaerobic conditions. NH<sub>4</sub><sup>+</sup> + 1.32NO<sub>2</sub>- + 0.066HCO<sub>3</sub><sup>-</sup> + 0.13H+ à 1.02N<sub>2</sub> + 0.256NO<sub>3</sub><sup>-</sup>+ 0.066CH<sub>2</sub>O<sub>0.5</sub>N<sub>0.15</sub> + 2.03 H<sub>2</sub>O In recent years, Anammox process had mainly focus on side stream wastewater with high ammonia concentration. The success of Anammox-based side stream wastewater treatment, promoted investigation of its research for mainstream wastewater treatment with low ammonia concentration, typically ranging from 20-85 mgN L<sup>-1</sup> (Metcalf and Eddy, 1991) and low temperature. In this study, a 10 L lab-scale biofilm anammox continuous stirred tank reactor (A-CSTR) was operated to investigate the Anammox community structure and the performance of biofilm Anammox reactor at low nitrogen load. This reactor did not need to be sealed and purging nitrogen to avoid the diffusion of oxygen into the water surface due to the polyurethane foam balls floated on the surface of the reactor. The reactor was cover with a black cover to avoid light and the growth of algae. The temperature was control by using an aquarium heater (Aleas, China). Hydraulic retention time (HRT) was changed from 12 h to 7 h. The reactor was stirred at about 40 rpm by an overhead stirrer.The fiber carriers were utilized to retain the Anammox biomass. The A-CSTR was cultured by 1 L suspended Anammox sludge, originated from a 12.5 L lab-scale Anammox SBR. Extracellular polymeric substances (EPS) and scanning electron microscopy (SEM) of Anammox biomass were evaluated for microbial characterization. After four months, the biofilm Anammox reactor achieved a high nitrogen removal with NRR of 0.2 kg N m<sup>-3</sup> d<sup>-1</sup>, the effluent nitrogen concentration was lower the discharge standard of nitrogen in Korea. The noticing in this research was the dominant species of Anammox population shifted from C. Brocadia into C. Jettenia (18.4% of the microbial community).
A research on students’ readiness for Education 4.0 program
Le Hoanh Su,Nguyen Thi Hong Linh,Vo Dang Hong Ngan,Le Kieu Oanh,Nguyen Ngoc Thanh,Tran Vuong Bao Tran ASCONS 2020 INTERNATIONAL JOURNAL OF EMERGING MULTIDISCIPLINAR Vol.4 No.1
Nowadays, in Vietnam, the government tends to have a great concern to the 4th Industrial Revolution, and Education 4.0 is also a matter to be paid attention to. In order to implement Education 4.0, besides technology and social, people are an important factor involved in the development of the education 4.0. The purpose of the study is to find out the factors affecting student readiness for education 4.0. The proposed model consists of 8 independent factors: Internet self-efficacy, Online communication self-efficacy, Self-regulation, Creativity, Self-discovery, Upgrade, Collaboration, Attitude and 1 dependent factor namely Readiness. Based on 361 samples, this quantitative research was conducted: reliability testing, exploratory factor analysis, correlation coefficients and linear regression. The result shows that there are four key factors affecting readiness including Self-regulation, Creativity, Upgrade and Attitude. The result of t-test shows that the group of students who had experienced online learning had higher readiness for the education 4.0 than the others.
( Thi-linh Ho ),( Anh-cuong Le ),( Dinh-hong Vu ) 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.5
Recommender systems aim to recommend items to users by taking into account their probable interests. This study focuses on creating a model that utilizes multiple sources of information about users and items by employing a multimodality approach. The study addresses the task of how to gather information from different sources (modalities) and transform them into a uniform format, resulting in a multi-modal feature description for users and items. This work also aims to transform and represent the features extracted from different modalities so that the information is in a compatible format for integration and contains important, useful information for the prediction model. To achieve this goal, we propose a novel multi-modal recommendation model, which involves extracting latent features of users and items from a utility matrix using matrix factorization techniques. Various transformation techniques are utilized to extract features from other sources of information such as user reviews, item descriptions, and item categories. We also proposed the use of Principal Component Analysis (PCA) and Feature Selection techniques to reduce the data dimension and extract important features as well as remove noisy features to increase the accuracy of the model. We conducted several different experimental models based on different subsets of modalities on the MovieLens and Amazon sub-category datasets. According to the experimental results, the proposed model significantly enhances the accuracy of recommendations when compared to SVD, which is acknowledged as one of the most effective models for recommender systems. Specifically, the proposed model reduces the RMSE by a range of 4.8% to 21.43% and increases the Precision by a range of 2.07% to 26.49% for the Amazon datasets. Similarly, for the MovieLens dataset, the proposed model reduces the RMSE by 45.61% and increases the Precision by 14.06%. Additionally, the experimental results on both datasets demonstrate that combining information from multiple modalities in the proposed model leads to superior outcomes compared to relying on a single type of information.
Le, Thi Thanh Huong,Tran, Khanh Long,Phung, Xuan Son,Do, Phuc Huyen,Phan, Thuy Linh,Nguyen, Ngoc Bich,Nguyen, Xuan Lam,Le, Vu Anh,Tran, Thi Tuyet-Hanh Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.no.sup1
Comprehensive bans on tobacco advertising and promotion were introduced through tobacco control legislation in Viet Nam, but it has been established that violations of the bans are very common. This study was conducted to explore the trend in violations of bans on tobacco advertising and promotion at points of sale in Viet Nam in the past six years and to explore any differences in the violation situations before and after the Law on Tobacco Control came into effect on 1st May 2013. Quantitative data were collected through observation of violations of the bans on tobacco advertising and promotion at points of sale in 10 provinces throughout Viet Nam in four survey rounds (2009, 2010, 2011, and 2015). Variation in violation prevalence over time was examined by chi-square test using a Bonferini method. Binary logistic regression was employed to identify the factors that may have influences on different types of violation. A level of significance of p<0.05 was used for all tests in this article. The most common form of violation was the display of more than one pack/one carton of a cigarette brand. Violation of bans on tobacco advertising increased while violations on promotion ban and on displaying tobacco decreased through time. Some factors associated with the tobacco advertising and promotion bans included surveyed years, types of points of sale, regions and areas where the points of sale were located. The enforcement of the bans did not improve even after the issuance and the enactment of the Law on Tobacco Control. This suggests that the monitoring and enforcement of bans on tobacco advertising and promotion at points of sale should be strengthened. Penalties should be strictly applied for violators as indicated in the current tobacco control legislation.
Thi My Ni PHAM,Thi Ngoc Thao PHAM,Ha Phuong Truc NGUYEN,Bao Tuyen LY,Truc Linh NGUYEN,Hoanh Su LE 한국유통과학회 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.5
Banking and finance is a broad term that incorporates a variety of smaller, more specialized subjects such as corporate finance, tax finance, and insurance finance. A virtual assistant that assists users in searching for information about banking and finance terms might be an extremely beneficial tool for users. In this study, we explored the process of searching for information, seeking opportunities, and developing a virtual assistant in the first stages of starting learning and understanding Vietnamese to increase effectiveness and save time, which is also an innovative business practice in Use-case Vietnam. We built the FIBA2020 dataset and proposed a pipeline that used Natural Language Processing (NLP) inclusive of Natural Language Understanding (NLU) algorithms to build chatbot applications. The open-source framework RASA is used to implement the system in our study. We aim to improve our model performance by replacing parts of RASA’s default tokenizers with Vietnamese tokenizers and experimenting with various language models. The best accuracy we achieved is 86.48% and 70.04% in the ideal condition and worst condition, respectively. Finally, we put our findings into practice by creating an Android virtual assistant application using the model trained using Whitespace tokenizer and the pre-trained language m-BERT.