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Journal of Environmental Sciences 2014年第6期26卷 1301-1306页

作者： Huy thanh vo Tsuyoshi Imai Truc thanh Ho Masahiko Sekine Ariyo Kanno Takaya Higuchi Koichi Yamamoto Hidenori Yamamoto Faculty of Engineering Yamaguchi University 2-16-1 TokiwadaiYamaguchi 755-8611 Japan Faculty of Urban Engineering Central University of ConstructionTuy Hoa Phu Yen 56000 Vietnam

The inactivation effects of pressurized CO2 against bacteriophage Qβ and ФX 174 were investigated under the pressure of 0.3-0.9 MPa, initial concentration of 107-109 PFU/mL, and temperature of 17.8℃-27.2℃. The optimum conditions were found to be 0.7 MPa and an exposure time of 25 min. Under identical treatment conditions, a greater than 3.3-log reduction in bacteriophage Qβ was achieved by CO2, while a nearly 3.0 log reduction was observed for phage ФX174. The viricidal effects of N2O （an inactivation gas with similar characteristics to CO2）, normal acid （HC1）, and CO2 treatment with phosphate buffered saline affirmed the chemical nature of CO2 treatment. The pumping cycle, depressurization rate, and release of intracellular substances caused by CO2 were its viricidal mechanisms. The results indicate that CO2 has the potential for use as a disinfectant without forming disinfection by-products.

关键词： bacteriophage Qβ bacteriophage ФX174 pressurized CO2 viricidal effect microbubbles water disinfection

Atomistic simulation of free transverse vibration of graphene,hexagonal SiC, and BN nanosheets

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Acta Mechanica Sinica 2017年第1期33卷 132-147页

作者： Danh-Truong Nguyen minh-Quy Le thanh-Lam Bui Hai-Le Bui School of Mechanical Engineering Hanoi University of Science and Technology Hanoi 10000 Vietnam International Institute for Computational Science and Engineering Hanoi University of Science and TechnologyHanoi 10000 Vietnam Faculty of Mechanical Engineering Hanoi University of Industry Hanoi 10000 Vietnam

Free transverse vibration of monolayer graphene, boron nitride (BN), and silicon carbide (SiC) sheets is investigated by using molecular dynamics finite element method. Eigenfrequencies and eigenmodes of these three sheets in rectangular shape are studied with different aspect ratios with respect to various boundary conditions. It is found that aspect ratios and boundary conditions affect in a similar way on natural frequencies of graphene, BN, and SiC sheets. Natural frequencies in all modes decrease with an increase of the sheet’s size. Graphene exhibits the highest natural frequencies, and SiC sheet possesses the lowest ones. Missing atoms have minor effects on natural frequencies in this study.

关键词： Atomistic simulation Hexagonal sheet Transverse vibration Molecular dynamics finite element method

Free radical scavenging and anti-proliferative activities of avocado(Persea americana Mill.) seed extract

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Asian Pacific Journal of Tropical Biomedicine 2019年第3期9卷 91-97页

作者： thanh Sang vo Phuong Uyen Le Dai Hung Ngo NTT Institute of Hi-Technology Nguyen Tat Thanh University Faculty of Natural Sciences Thu Dau Mot University

Objective: To investigate the chemical components and biological activities of avocado seed extract and fractions in order to determine the nutritional and pharmaceutical values of avocado seed. Methods: Various organic solvents were applied for extraction and fractionation of avocado seed. 1,1-diphenyl-2-picryl-hydrazyl, 2,2-azinobis-3-ethyl benzothiazoline-6-sulfonic acid, and DNA oxidation assays were applied for investigation of free radical scavenging activity. Nitric oxide production was measured by Griess reaction assay. Moreover, MTT assay was used to measure cancer cell growth inhibition. Results: The result indicated that the avocado seed contains(7.14 ± 0.40) g lipid/100 g,(1.67 ± 0.03) g protein/100 g,(54.0 ± 1.2) g carbohydrate/100 g, and(62.0 ± 2.3) mg gallic acid equivalent/g dried weight extract. Moreover, dichloromethane and ethyl acetate were revealed to be the highest free radical scavenging fractions with IC_(50) values of(48.0 ± 3.4) μg/mL(1,1-diphenyl-2-picryl-hydrazyl assay) and(22.0 ± 1.8) μg/mL(2,2-azinobis-3-ethyl benzothiazoline-6-sulfonic acid assay), respectively. Additionally, the avocado seed extract and fractions were able to protect against H_2O_2-induced DNA damage at the concentration of 100 μg/mL. On the other hand, the ethanol extract was effective in reducing nitric oxide production from lipopolysaccharide-stimulated RAW 264.7 macrophage cells without cytotoxic effect. Notably, the avocado seed significantly inhibited the proliferation of human lung A549 and human gastric BGC823 cancer cells at the concentration of 200 μg/mL, especially hexane(81 ± 3)% and dichloromethane(75 ± 2)% fractions. Conclusions: The results of the present study supported the avocado seed as potential by-product source for further development of health beneficial products.

关键词： Avocado seed By-product DPPH Nitric oxide Cancer cells

Adaptive Relaying Protocol for Decode and Forward Full-Duplex System over Rician Fading Channel: System Performance Analysis

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China Communications 2019年第3期16卷 92-102页

作者： Tan N.Nguyen minh Tran thanh-Long Nguyen Miroslav voznak Wireless Communications Research Group Faculty of Electrical and Electronics Engineering Ton Duc Thang University Optoelectronics Research Group Faculty of Electrical and Electronics Engineering Ton Duc Thang University Center for Information Technology Ho Chi Minh City University of Food Industry Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava

In this paper, the system performance of a decode-and-forward(DF) full-duplex(FD) adaptive relaying network over the Rician fading environment is proposed, analyzed and demonstrated. In the first stage, the system is presented with the energy harvesting and information transmission processes. After that, the analytical expressions of the achievable throughput, the outage probability, and symbol error ratio(SER) were proposed, analyzed and demonstrated. Finally, the analytical results are also demonstrated by Monte-Carlo simulation in comparison with the closed-form expressions in the influence of the key system parameters. The results show that the analytical and simulated results match for all possible parameter values.

关键词： relaying network throughput outage probability SER wireless energy harvesting(EH)

Machine learning based models for predicting compressive strength of geopolymer concrete

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Frontiers of Structural and Civil Engineering 2024年第7期18卷 1028-1049页

作者： Quang-Huy LE Duy-Hung NGUYEN thanh SANG-TO Samir KHATIR Hoang LE-minh Amir H.GANDOMI thanh CUONG-LE Center for Engineering Application and Technology Solutions Ho Chi Minh City Open UniversityHo Chi Minh 700000Vietnam Institute of Civil Engineering Ho Chi Minh City University of TransportHo Chi Minh 700000Vietnam Faculty of Engineering&Information Technology University of Technology SydneyUltimoNSW 2007Australia

Recently,great attention has been paid to geopolymer concrete due to its advantageous mechanical and environmentally friendly *** effort has been made in experimental studies to advance the understanding of geopolymer concrete,in which compressive strength is one of the most important *** facilitate engineering work on the material,an efficient predicting model is *** this study,three machine learning(ML)-based models,namely deep neural network(DNN),K-nearest neighbors(KNN),and support vector machines(SVM),are developed for forecasting the compressive strength of the geopolymer concrete.A total of 375 experimental samples are collected from the literature to build a database for the development of the predicting models.A careful procedure for data preprocessing is implemented,by which outliers are examined and removed from the database and input variables are standardized before feeding to the fitting *** standard K-fold cross-validation approach is applied for evaluating the performance of the models so that overfitting status is well managed,thus the generalizability of the models is *** effectiveness of the models is assessed via statistical metrics including root mean squared error(RMSE),mean absolute error(MAE),correlation coefficient(R),and the recently proposed performance index(PI).The basic mean square error(MSE)is used as the loss function to be minimized during the model fitting *** three ML-based models are successfully developed for estimating the compressive strength,for which good correlations between the predicted and the true values are obtained for DNN,KNN,and *** numerical results suggest that the DNN model generally outperforms the other two models.

关键词： geopolymer concrete compressive strength prediction machine-learning based model deep neural network K-nearest neighbor support vector machines

Polar Gini Curve:A Technique to Discover Gene Expression Spatial Patterns from Single-cell RNA-seq Data

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Genomics, Proteomics & Bioinformatics 2021年第3期19卷 493-503页

作者： thanh minh Nguyen Jacob John Jeevan Nuo Xu Jake Y.Chen Informatics Institute the University of Alabama at BirminghamBirminghamAL 35294USA Collat School of Business the University of Alabama at BirminghamBirminghamAL 35294USA

In this work,we describe the development of Polar Gini Curve,a method for characterizing cluster markers by analyzing single-cell RNA sequencing(scRNA-seq)*** Gini Curve combines the gene expression and the 2D coordinates(“spatial”)information to detect patterns of uniformity in any clustered cells from scRNA-seq *** demonstrate that Polar Gini Curve can help users characterize the shape and density distribution of cells in a particular cluster,which can be generated during routine scRNA-seq data *** quantify the extent to which a gene is uniformly distributed in a cell cluster space,we combine two polar Gini curves(PGCs)—one drawn upon the cell-points expressing the gene(the“foreground curve”)and the other drawn upon all cell-points in the cluster(the“background curve”).We show that genes with highly dissimilar foreground and background curves tend not to uniformly distributed in the cell cluster—thus having spatially divergent gene expression patterns within the *** with similar foreground and background curves tend to uniformly distributed in the cell cluster—thus having uniform gene expression patterns within the *** quantitative attributes of PGCs can be applied to sensitively discover biomarkers across clusters from scRNA-seq *** demonstrate the performance of the Polar Gini Curve framework in several simulation case *** this framework to analyze a real-world neonatal mouse heart cell dataset,the detected biomarkers may characterize novel subtypes of cardiac muscle *** source code and data for Polar Gini Curve could be found at http://***/PGC/or https://***/projects/Polar_Gini_Curve/76749.

关键词： Single-cell gene expression Polar Gini curve Spatial pattern Biomarker discovery

CONVERGENCE RESULTS FOR NON-OVERLAP SCHWARZ WAVEFORM RELAXATION ALGORITHM WITH CHANGING TRANSMISSION CONDITIONS

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Acta Mathematica Scientia 2022年第1期42卷 105-126页

作者： minh-Phuong TRAN thanh-Nhan NGUYEN Phuoc-Toan HUYNH Nhu-Binh LY minh-Dang NGUYEN Quoc-Anh HO Applied Analysis Research Group Faculty of Mathematics and StatisticsTon Duc Thang UniversityHo Chi Minh cityVietnam Department of Mathematics Ho Chi Minh City University of EducationHo Chi Minh cityVietnam Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh cityVietnam

In this paper,we establish a new algorithm to the non-overlapping Schwarz domain decomposition methods with changing transmission conditions for solving one dimensional advection reaction diffusion *** precisely,we first describe the new algorithm and prove the convergence results under several natural assumptions on the sequences of parameters which determine the transmission *** we give a simple method to estimate the new value of parameters in each *** interesting advantage of our method is that one may update the better parameters in each iteration to save the computational cost for optimizing the parameters after many *** some numerical experiments are performed to show the behavior of the convergence rate for the new method.

关键词： domain decomposition method Schwarz waveform relaxation algorithm advection reaction diffusion changing transmission conditions

An Optimal Deep Learning Based Computer-Aided Diagnosis System for Diabetic Retinopathy

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Computers, Materials & Continua 2021年第3期66卷 2815-2830页

作者： Phong thanh Nguyen Vy Dang Bich Huynh Khoa Dang vo Phuong thanh Phan Eunmok Yang Gyanendra Prasad Joshi Department of Project Management Ho Chi Minh City Open UniversityHo Chi Minh City7000000Vietnam Department of Learning Material Ho Chi Minh City Open UniversityHo Chi Minh City7000000Vietnam Department of Convergence Science Kongju National UniversityGongju32588South Korea Department of Computer Science and Engineering Sejong UniversitySeoul05006South Korea

Diabetic Retinopathy(DR)is a significant blinding disease that poses serious threat to human vision *** and severity grading of DR are difficult processes to ***,it depends on ophthalmoscopically-visible symptoms of growing severity,which is then ranked in a stepwise scale from no retinopathy to various levels of DR *** paper presents an ensemble of Orthogonal Learning Particle Swarm Optimization(OPSO)algorithm-based Convolutional Neural Network(CNN)Model EOPSO-CNN in order to perform DR detection and *** proposed EOPSO-CNN model involves three main processes such as preprocessing,feature extraction,and *** proposed model initially involves preprocessing stage which removes the presence of noise in the input ***,the watershed algorithm is applied to segment the preprocessed *** by,feature extraction takes place by leveraging EOPSO-CNN ***,the extracted feature vectors are provided to a Decision Tree(DT)classifier to classify the DR *** study experiments were carried out using Messidor DR Dataset and the results showed an extraordinary performance by the proposed method over compared methods in a considerable *** simulation outcome offered the maximum classification with accuracy,sensitivity,and specificity values being 98.47%,96.43%,and 99.02%respectively.

关键词： Diabetic retinopathy convolutional neural network classification image processing computer-aided diagnosis

Deep Learning Based Optimal Multimodal Fusion Framework for Intrusion Detection Systems for Healthcare Data

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Computers, Materials & Continua 2021年第3期66卷 2555-2571页

作者： Phong thanh Nguyen Vy Dang Bich Huynh Khoa Dang vo Phuong thanh Phan Mohamed Elhoseny Dac-Nhuong Le Department of Project Management Ho Chi Minh City Open UniversityHo Chi Minh City700000Vietnam Department of Learning Material Ho Chi Minh City Open UniversityHo Chi Minh City700000Vietnam Faculty of Computers and Information Mansoura UniversityDakahlia Governorate35516Egypt Institute of Research and Development Duy Tan UniversityDanang550000Vietnam Faculty of Information Technology Duy Tan UniversityDanang550000Vietnam

Data fusion is a multidisciplinary research area that involves different *** is used to attain minimum detection error probability and maximum reliability with the help of data retrieved from multiple healthcare *** generation of huge quantity of data from medical devices resulted in the formation of big data during which data fusion techniques become *** medical data is a crucial issue of exponentially-pacing computing world and can be achieved by Intrusion Detection Systems(IDS).In this regard,since singularmodality is not adequate to attain high detection rate,there is a need exists to merge diverse techniques using decision-based multimodal fusion *** this view,this research article presents a new multimodal fusion-based IDS to secure the healthcare data using *** proposed model involves decision-based fusion model which has different processes such as initialization,pre-processing,Feature Selection(FS)and multimodal classification for effective detection of *** FS process,a chaotic Butterfly Optimization(BO)algorithmcalled CBOA is *** the classic BO algorithm offers effective exploration,it fails in achieving faster *** order to overcome this,i.e.,to improve the convergence rate,this research work modifies the required parameters of BO algorithm using chaos ***,to detect intrusions,multimodal classifier is applied by incorporating three Deep Learning(DL)-based classification ***,the concepts like Hadoop MapReduce and Spark were also utilized in this study to achieve faster computation of big data in parallel computation *** validate the outcome of the presented model,a series of experimentations was performed using the benchmark NSLKDDCup99 Dataset *** proposed model demonstrated its effective results on the applied dataset by offering the maximum accuracy of 99.21%,precision of 98.93%and detection rate of 99.59%.The results assured the betterm

关键词： Big data data fusion deep learning intrusion detection bio-inspired algorithm spark

Novel Deletion in Exon 7 of Betaine Aldehyde Dehydrogenase 2(BADH2)

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Rice science 2023年第2期30卷 104-112,I0020-I0030页

作者： VAN Quoc Giang HUYNH Ky NGUYEN Chau thanh Tung NGUYEN Loc Hien NGUYEN van Manh NGUYEN Nhut thanh vo Cong thanh SWEE Keong Yeap College of Agriculture Can Tho UniversityCan Tho 92000Vietnam Department of Sciences and Technology of Long An Province Long An 850000Vietnam China-Association of Southeast Asian Nations College of Marine Sciences Xiamen University MalaysiaSepang 49000SelangorMalaysia

The fragrance of rice is one of the premium characteristics that breeders want to include in rice varieties due to the higher market value. Nucleotide deletions in exons 2(7 bp) and 7(8 bp) of Betaine Aldehyde Dehydrogenase 2(BADH2) are associated with fragrance in rice. In this study, a new 13 bp deletion in exon 7 of the BADH2 gene was discovered in the Nang Thom Cho Dao(NTCD) variety, and the mutation has been closely related to the genetic background of indica subspecies through the Bayesian phylogenetic approach and haplotype network analysis of the 3 000 Rice Genomes Project. In addition, a set of functional markers(EX07-13F, EX07-13RN, and EX07-13RM) identified the 13 bp deletion only within NTCD(no amplified band) compared with both non-aromatic and other aromatic rice varieties(110 bp band). The deletion of 13 bases instead of 8 bases in exon 7 of BADH2 caused a premature stop codon, which down-regulated the expression of the BADH2 transcript while associated with up-regulation of OsP5CS and the high amount of 2-acetyl-1-pyrroline. It is potential to use the deletion in exon 7 of the BADH2 gene as a novel marker for adulteration and breeding of fragrant rice varieties, particularly for NTCD.

关键词： novel deletion BADH2 fragrant rice functional marker