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Search Results: 1 - 10 of 158741 matches for " Hai B. Tran "
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Oxidative Stress Decreases Functional Airway Mannose Binding Lectin in COPD
Hai B. Tran, Jessica Ahern, Greg Hodge, Phillip Holt, Melinda M. Dean, Paul N. Reynolds, Sandra Hodge
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0098571
Abstract: We have previously established that a defect in the ability of alveolar macrophages (AM) to phagocytose apoptotic cells (efferocytosis) and pathogens is a potential therapeutic target in COPD. We further showed that levels of mannose binding lectin (MBL; required for effective macrophage phagocytic function) were reduced in the airways but not circulation of COPD patients. We hypothesized that increased oxidative stress in the airway could be a cause for such disturbances. We therefore studied the effects of oxidation on the structure of the MBL molecule and its functional interactions with macrophages. Oligomeric structure of plasma derived MBL (pdMBL) before and after oxidation (oxMBL) with 2,2′-azobis(2-methylpropionamidine)dihyd?rochroride(AAPH) was investigated by blue native PAGE. Macrophage function in the presence of pd/oxMBL was assessed by measuring efferocytosis, phagocytosis of non-typeable Haemophilus influenzae (NTHi) and expression of macrophage scavenger receptors. Oxidation disrupted higher order MBL oligomers. This was associated with changed macrophage function evident by a significantly reduced capacity to phagocytose apoptotic cells and NTHi in the presence of oxMBL vs pdMBL (eg, NTHi by 55.9 and 27.0% respectively). Interestingly, oxidation of MBL significantly reduced macrophage phagocytic ability to below control levels. Flow cytometry and immunofluorescence revealed a significant increase in expression of macrophage scavenger receptor (SRA1) in the presence of pdMBL that was abrogated in the presence of oxMBL. We show the pulmonary macrophage dysfunction in COPD may at least partially result from an oxidative stress-induced effect on MBL, and identify a further potential therapeutic strategy for this debilitating disease.
Diffusion thermopower of a $p-$type Si/Si$_{1-x}$Ge$_x$ heterostructure at zero magnetic field
Huan Tran Doan,Hai Nguyen Phuc
Physics , 2010, DOI: 10.1002/pssb.200642144
Abstract: We calculate the diffusion thermopower of the degenerate two-dimensional hole gas in a $p-$type Si/Si$_{1-x}$Ge$_x$ lattice mismatched heterostructure at low temperatures and zero magnetic field. The effects of possible scatterings, e.g. remote impurity, alloy disorder, interface roughness, deformation potential, and random piezoelectric on the hole mobility and the diffusion thermopower are examined. Calculated results are well fitted to the experimental data recently reported. In addition, we predict a possibility for the diffusion thermopower to change its sign as the SiGe layer thickness changes, the effect has not been discussed yet.
Facial Expression Classification Based on Multi Artificial Neural Network and Two Dimensional Principal Component Analysis
Thai Le,Phat Tat,Hai Tran
Computer Science , 2011,
Abstract: Facial expression classification is a kind of image classification and it has received much attention, in recent years. There are many approaches to solve these problems with aiming to increase efficient classification. One of famous suggestions is described as first step, project image to different spaces; second step, in each of these spaces, images are classified into responsive class and the last step, combine the above classified results into the final result. The advantages of this approach are to reflect fulfill and multiform of image classified. In this paper, we use 2D-PCA and its variants to project the pattern or image into different spaces with different grouping strategies. Then we develop a model which combines many Neural Networks applied for the last step. This model evaluates the reliability of each space and gives the final classification conclusion. Our model links many Neural Networks together, so we call it Multi Artificial Neural Network (MANN). We apply our proposal model for 6 basic facial expressions on JAFFE database consisting 213 images posed by 10 Japanese female models.
Characterization of Electrochromic Properties of Polyaniline Thin Films Electropolymerized in H2SO4 Solution  [PDF]
Dang Hai Ninh, Tran Thi Thao, Pham Duy Long, Nguyen Nang Dinh
Open Journal of Organic Polymer Materials (OJOPM) , 2016, DOI: 10.4236/ojopm.2016.61004
Abstract:

Polyaniline (PANI) onto indium-doped tin-oxide (ITO)-coated glass samples were prepared by electroopolymerization in 0.5 M H2SO4 solution. Structure and morphology characterization of the PANI films demonstrated that the films were grown onto ITO substrates in the form of polycrystalline microbelts separated by micropores. By analysing the UV-Vis absorption spectra of the PANI films, the energy bandgap was found to be approximately 2.75 eV. The PANI/ITO films exhibited a good reversible electrochromic display (ECD) performance when cycled in 0.1 M LiClO4 + pro-pylene carbonate. The response time of the ECD coloration was found to be as small as 15 s and the coloration efficiency was found to be 8.85 cm2 \"\"C-1. After 100 cycles of the ECD performance, the cyclic voltammetry curve of the working electrode maintained unchanged. This demonstrates that the electropolymerized PANI films can be served as a good candidate for ECD applications, taking advantage of their excellent properties in terms of chemical stability.

Approaches in Developing Undergraduate IT Engineering Curriculum for the Fourth Industrial Revolution in Malaysia and Vietnam  [PDF]
Tran Thi Bich Lieu, Nguyen Huu Duc, Nancy Webster Gleason, Duong Trong Hai, Nguyen Duy Tam
Creative Education (CE) , 2018, DOI: 10.4236/ce.2018.916207
Abstract: Curricula have important effects on students’ professional skills. To prepare for the fourth industrial revolution (4IR), countries are recommended to implement new curricula to develop new competencies for the automation workforce. As Information technology (IT) lays the foundations for the core 4IR-relevant emerging technologies (big data, internet of things, artificial intelligence, etc.), countries have developed new IT engineering curricula to prepare engineers for the 4IR. By conducting a structured focused comparison?for?bachelor IT curricula containing core 4IR modules of 57 Vietnamese and 35 Malaysian universities, this researchaims to find appropriate approaches in developing curricula to prepare 4IR competencies for IT engineering students for Malaysia, Vietnam and implications for other nations. The research found that, only new stand-alone curricula with a focus on 4IR competencies can prepare engineers for the 4IR.It then provides seven lessons for designing new 4IR engineering curriculum and for continuing studies on 4IR-ready curriculum.
Image Classification using Support Vector Machine and Artificial Neural Network
Le Hoang Thai,Tran Son Hai,Nguyen Thanh Thuy
International Journal of Information Technology and Computer Science , 2012,
Abstract: Image classification is one of classical problems of concern in image processing. There are various approaches for solving this problem. The aim of this paper is bring together two areas in which are Artificial Neural Network (ANN) and Support Vector Machine (SVM) applying for image classification. Firstly, we separate the image into many sub-images based on the features of images. Each sub-image is classified into the responsive class by an ANN. Finally, SVM has been compiled all the classify result of ANN. Our proposal classification model has brought together many ANN and one SVM. Let it denote ANN_SVM. ANN_SVM has been applied for Roman numerals recognition application and the precision rate is 86%. The experimental results show the feasibility of our proposal model.
Facial Expression Classification Based on Multi Artificial Neural Network and Two Dimensional Principal Component Analysis
Le Hoang Thai,Tat Quang Phat,Tran Son Hai
International Journal of Computer Science Issues , 2011,
Abstract: Facial expression classification is a kind of image classification and it has received much attention, in recent years. There are many approaches to solve these problems with aiming to increase efficient classification. One of famous suggestions is described as first step, project image to different spaces; second step, in each of these spaces, images are classified into responsive class and the last step, combine the above classified results into the final result. The advantages of this approach are to reflect fulfill and multiform of image classified. In this paper, we use 2D-PCA and its variants to project the pattern or image into different spaces with different grouping strategies. Then we develop a model which combines many Neural Networks applied for the last step. This model evaluates the reliability of each space and gives the final classification conclusion. Our model links many Neural Networks together, so we call it Multi Artificial Neural Network (MANN). We apply our proposal model for 6 basic facial expressions on JAFFE database consisting 213 images posed by 10 Japanese female models.
An Artificial Intelligence Approach for Groutability Estimation Based on Autotuning Support Vector Machine
Hong-Hai Tran,Nhat-Duc Hoang
Journal of Construction Engineering , 2014, DOI: 10.1155/2014/109184
Abstract: Permeation grouting is a commonly used approach for soil improvement in construction engineering. Thus, predicting the results of grouting activities is a crucial task that needs to be carried out in the planning phase of any grouting project. In this research, a novel artificial intelligence approach—autotuning support vector machine—is proposed to forecast the result of grouting activities that employ microfine cement grouts. In the new model, the support vector machine (SVM) algorithm is utilized to classify grouting activities into two classes: success and??failure. Meanwhile, the differential evolution (DE) optimization algorithm is employed to identify the optimal tuning parameters of the SVM algorithm, namely, the penalty parameter and the kernel function parameter. The integration of the SVM and DE algorithms allows the newly established method to operate automatically without human prior knowledge or tedious processes for parameter setting. An experiment using a set of in situ data samples demonstrates that the newly established method can produce an outstanding prediction performance. 1. Introduction In construction engineering, permeation grouting is the process that involves the injection of suitable particulate grouts or chemical solutions into the geomaterial with the aim of improving its mechanical properties and reducing the water movement through soils [1]. In particular for underground construction works, the inflow of groundwater has always been a substantial challenge for geotechnical engineers [2]. Water inflows often cause construction delays and severe damages to the structure quality. Consequently, the grouting activity is an essential task which needs to be performed in a majority of underground construction projects. Recently, microfine cement grouts have been increasingly employed by geotechnical engineers. The reason is that microfine cement grouts can provide an improved groutability for the target geomaterial and they do not contaminate the surrounding environment. In addition, these grouts are proven to have the capacity of filling cracks with small openings as well as penetrating fine soils with very low permeability [3]. Nonetheless, one of the main challenges in the utilization of microfine cement grouts is how to accurately estimate the groutability of the target geomaterial [4]. It is because the grouting process is based on the complex time-dependent transport process of cement grains through the soil matrix. Moreover, besides the grain size of the soil and the grout, other factors that affect the outcome of grouting
A Novel Resource-Leveling Approach for Construction Project Based on Differential Evolution
Hong-Hai Tran,Nhat-Duc Hoang
Journal of Construction Engineering , 2014, DOI: 10.1155/2014/648938
Abstract: In construction engineering, project schedules are commonly established by the critical path method. Nevertheless, these schedules often lead to substantial fluctuations in the resource profile that are not only impractical but also costly for the contractors to execute. Therefore, in order to smooth out the resource profile, construction managers need to perform resource-leveling procedures. This paper proposes a novel approach for resource leveling, named as resource leveling based on differential evolution (RLDE). The performance of the RLDE is compared to that of Microsoft Project software, the genetic algorithm, and the particle swarm optimization algorithm. Experiments have proved that the newly developed method can deliver the most desirable resource-leveling result. Thus, the RLDE is an effective method and it can be a useful tool for assisting managers/planners in the field of project management. 1. Introduction In today’s market condition, the survivability of any construction contractor essentially depends on its capability of managing resources. Ineffective resource management escalates the operational expense or even gives rise to financial and scheduling problems [1, 2]. Without doubt, the excess requirement of resources in the construction site leads to the extension of project duration. As the construction contractor fails to deliver the project by the prespecified date, the owner may suffer from financial losses due to the nonavailability of the facility [3]. In addition, construction delays often bring about legal disputes among parties, higher overhead costs, and degraded reputation, and they occasionally result in project failures [4, 5]. As a consequence, resource management is an essential task that needs to be implemented thoroughly in the planning phase. Basically, resources in construction projects consist of manpower, equipment, materials, money, and expertise. Needless to say, the proper management of these resources holds the key to the successful accomplishment of any project [3]. However, construction schedules, generated by network scheduling techniques, are often characterized by undesirable resource fluctuations that are impractical and costly for the contractors to implement [6]. The reason is that it is expensive to hire and to lay off workers on a short-term basis according to the fluctuations in the resource profile. Additionally, if the resources cannot be managed efficiently, they may exceed the supply capability of the contractor and lead to schedule delay. Finally, the contractor must maintain a number of idle
Minc's generating function and a Segal conjecture for Thom spectra. La fonction generatrice de Minc et une conjecture de Segal pour certains spectres de Thom
Dang Ho Hai Nguyen,Lionel Schwartz,Ngoc Nam Tran
Mathematics , 2009,
Abstract: One constructs minimal injective resolutions for certain unstable modules that appears to be the mod 2 cohomology of Thom spectra. The terms of the resolution are tensor products of Brown-Gitler modules and Steinberg modules introduced by S. Mitchell and S. Priddy. A combinatorial result of Andrews shows that the alternating sum of the Poincare series of the considered modules is zero. One gives homotopical applications of this result.
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