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Search Results: 1 - 10 of 11524 matches for " Bao Tran "
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Effect of mangrove forest structures on wave attenuation in coastal Vietnam
Tran Quang Bao
Oceanologia , 2011,
Abstract: This paper analyses wave attenuation in coastal mangrove forests in Vietnam. Data from 32 mangrove plots of six species located in 2 coastal regions are used for this study. In each plot, mangrove forest structures and wave height at different cross-shore distances are measured. Wave height closely relates to cross-shore distances. 92 exponential regression equations are highly significant with R2 > 0.95 and P val. < 0.001. Wave height reduction depends on initial wave height, cross-shore distances, and mangrove forest structures. This relationship is used to define minimum mangrove band width for coastal protection from waves in Vietnam.
Prediction of human microRNA hairpins using only positive sample learning  [PDF]
Dang Hung Tran, Tho Hoan Pham, Kenji Satou, Tu Bao Ho
Journal of Biomedical Science and Engineering (JBiSE) , 2008, DOI: 10.4236/jbise.2008.12023
Abstract: MicroRNAs(miRNA) are small molecular non-coding RNAs that have important roles in the post-transcriptional mechanism of animal and plant. They are commonly 21-25 nucleotides (nt) long and derived from 60-90 nt RNA hairpin structures, called miRNA hairpins. A larger num-ber of sequence segments in the human genome have been computationally identified with such 60-90 nt hairpins, however a majority of them are not miRNA hairpins. Most computational meth-ods so far for predicting miRNA hairpins were based on a two-class classifier to distinguish between miRNA hairpins and other sequence segments with hairpin structures. The difficulty of these methods is how to select hairpins as negative examples of miRNA hairpins in the classifier-training datasets, since only a few miRNA hairpins are available. Therefore, their classifier may be mis-trained due to some false negative examples of the training dataset. In this paper, we introduce a one-class support vector machine (SVM) method to predict miRNA hair-pins among the hairpin structures. Different from existing methods for predicting miRNA hairpins, the one-class SVM model is trained only on the information of the miRNA class. We also illus-trate some examples of predicting miRNA hair-pins in human chromosomes 10, 15, and 21, where our method overcomes the above disad-vantages of existing two-class methods.
The effects of watershed characteristics on storm runoff relationships in Vietnam
Tran Quang Bao,Melinda J. Laituri
Journal of Environmental Science and Water Resources , 2013,
Abstract: This paper presents results of a study of watershed factors on storm runoff and daily variation of stream flow. Fifteen watersheds representing different in ecological regions, climate regimes, and forest types in Vietnam are selected for this study. The basic hydrological data set corresponding to each watershed included rainfall and stream flow recorded hourly at the watershed outlet in 2005. There are a total 830 storm events in excess of 5 mm used to analyze the relationship between factors. Peak discharge is influenced most by initial flow (m3s-1) and rainfall (mm), whereas intensity (mm hr-1) is not significant at any watershed. The lag time to peak flow (hrs) is not significant related to any watershed factors. Forest cover (%) is indirectly significant with flow coefficient of variation (%), index of increasing and decreasing flow rates (m3s-1), respectively. Forest distribution (%) is directly significant with two flow rate indices. These two independent forest variables are associated with approximately 20 -30% of total variation in responding runoff variables. Watershed size (km2) is not significantly related to any runoff indices, while shape index is directly significant with increasing and decreasing flow rate. Watershed shape explains about 27% of the total variation in the stream flow variation and increasing flow rate, respectively. Average slope (%) is not significant with any runoff variables at level 0.1. However, average elevation difference (m) is highly significant related to index of increasing and decreasing flow rates (m3s-1).
Huynh Nguyen Bao Phuong,Dao Ngoc Chien,Tran Minh Tuan
International Journal of Advances in Engineering and Technology , 2013,
Abstract: A novel triple-band uni-planar electromagnetic bandgap (UC-EBG) structure is proposed in this paper. This EBG structure can be considered as distorted uni-planar compact-EBG (DUC-EBG) which is connected together by the meandered line inductor. Split ring resonators (SRR) are embedded in four pad corners and two L-shaped slots are etched at the central pad. The proposed EBG structure is modelled in three equivalent circuits. By using in-house developed computational code based on the FDTD method, simulated results of dispersion diagrams are presented by complete triple-bandgap. The central frequency of the bandgaps can be reduced to the lower region without increasing the size of the EBG cell. Moreover, an array of 4×5 EBG cells was simulated, fabricated and measured to verify the bandgap characteristic through the transmission coefficient S21. This proposed EBG can be used for multi-band applications, such as dual/triple antennas.
Novel Design of Electromagnetic Bandgap Using Fractal Geometry
Huynh Nguyen Bao Phuong,Dao Ngoc Chien,Tran Minh Tuan
International Journal of Antennas and Propagation , 2013, DOI: 10.1155/2013/162396
Some Examples to Show that Objects be Presented by Mathematical Equations  [PDF]
The Minh Tran
American Journal of Computational Mathematics (AJCM) , 2012, DOI: 10.4236/ajcm.2012.23025
Abstract: We have often heard remarks such as “We can plot graphs from the mathematical equations”, including equations of lines, equations of curves, and equations of invisible and visible objects. Actually, we can present each object by mathematical equation and we can plot graphs from equations. Equations not only show visible objects but also can show invisible objects such as wave equations in differential equations. In fact, the change of equations is also to conduce the change of objects and phenomena. This paper presents mathematical equations, methods to plot the graphs in 2D and 3D space. The paper is also a small proof of this conclusion have been provided and addressing visualization problem for any object. The novelty of this paper presents some special equations of objects and shows the ideas to build objects from equations.
Green Tea: A Potential Alternative Anti-Infectious Agent Catechins and Viral Infections  [PDF]
Jennifer Tran
Advances in Anthropology (AA) , 2013, DOI: 10.4236/aa.2013.34028

Tea is the second most consumed beverage in the world, following water. Black, oolong, and green tea are products of a perennial tree or shrub called Camellia sinensis. Camellia sinensis is native to Mainland China and is referenced in Chinese literature at least 5000 years ago. Since its discovery, green tea has been heralded as having several health benefits associated with its consumption. Traditionally, green tea has been used for a variety of medicinal purposes, such as the prevention and treatment of a variety of cancers, mental alertness, weight loss, lowering cholesterol level, and UV protection. Studies have shown that catechins, the polyphenols found in tealeaves, are effective as anti-infectious agents by affecting the infection process instead of specifically targeting the virus. This treatment strategy has the potential of reducing the prevalence of drug-resistant viruses and the reliance on anti-viral drug therapies. This paper will explore the efficacy of green tea in preventing infections by the hepatitis B and C, influenza and human immunodeficiency virus.

Computational discovery of miR-TF regulatory modules in human genome
Dang Hung Tran,Kenji Satou,Tu Bao Ho1,Tho Hoan Pham
Bioinformation , 2010,
Abstract: MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression at the post-transcriptional level. They play an important role in several biological processes such as cell development and differentiation. Similar to transcription factors (TFs), miRNAs regulate gene expression in a combinatorial fashion, i.e., an individual miRNA can regulate multiple genes, and an individual gene can be regulated by multiple miRNAs. The functions of TFs in biological regulatory networks have been well explored. And, recently, a few studies have explored miRNA functions in the context of gene regulation networks. However, how TFs and miRNAs function together in the gene regulatory network has not yet been examined. In this paper, we propose a new computational method to discover the gene regulatory modules that consist of miRNAs, TFs, and genes regulated by them. We analyzed the regulatory associations among the sets of predicted miRNAs and sets of TFs on the sets of genes regulated by them in the human genome. We found 182 gene regulatory modules of combinatorial regulation by miRNAs and TFs (miR-TF modules). By validating these modules with the Gene Ontology (GO) and the literature, it was found that our method allows us to detect functionally-correlated gene regulatory modules involved in specific biological processes. Moreover, our miR-TF modules provide a global view of coordinated regulation of target genes by miRNAs and TFs.
Spectrum Sharing-based Multi-hop Decode-and-Forward Relay Networks under Interference Constraints: Performance Analysis and Relay Position Optimization
Vo Nguyen Quoc Bao,Tran Thien Thanh,Tuan Duc Nguyen,Thanh Dinh Vu
Mathematics , 2013,
Abstract: The exact closed-form expressions for outage probability and bit error rate of spectrum sharing-based multi-hop decodeand- forward (DF) relay networks in non-identical Rayleigh fading channels are derived. We also provide the approximate closed-form expression for the system ergodic capacity. Utilizing these tractable analytical formulas, we can study the impact of key network parameters on the performance of cognitivemulti-hop relay networks under interference constraints. Using a linear network model, we derive an optimum relay position scheme by numerically solving an optimization problem of balancing average signal-to-noise ratio (SNR) of each hop. The numerical results show that the optimal scheme leads to SNR performance gains of more than 1 dB. All the analytical expressions are verified by Monte-Carlo simulations confirming the advantage ofmultihop DF relaying networks in cognitive environments.
Influence of the Neutron Flux Characteristic Parameters in the Irradiation Channels of Reactor on NAA Results Using k0-Standardization Method  [PDF]
Tran Van Hung
American Journal of Analytical Chemistry (AJAC) , 2012, DOI: 10.4236/ajac.2012.33033
Abstract: An approximation method using to estimate the influence of the uncertainties of the neutron flux characteristic parameters in the irradiation positions on the NAA results using k0-standardization technique was presented. Those are the epithermal reactor neutron spectrum shape-factor α, the effective resonace energy Ε for a given nuclide and the thermal to epithermal neutron flux ratio f. The method is applied to estimate the effect of the uncertainties in the determination of α Ε, and f on final NAA results for some irradiation channels of the Dalat reactor. It also shows that presented method is suitable in practical use for the estimation of the errors due to the uncertainty of the neutron flux characteristic parameters at the irradiation position.
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