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- Anh-Tuan Le (12)
- Ngo, Xuan Dinh (10)
- Quan-Hoang Vuong (8)
- Truong V. Vu (8)
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- Electrospinning (5)
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This study investigates the performance and robustness of regression machine-learning models in the presence of variability in the experimental database. The main objective of this work is to predict the ultimate load of circular concrete-filled steel tubes. The simulations were designed by combining size of the learning dataset, random realizations and prediction models. The variability (i.e. probability density function of each variable) is propagated to the output response through the regression machine-learning models. Results show that such variability must be considered when training and testing regression machine-learning models. The performance and robustness of the prediction models are presented and discussed. Based on the most robust and efficient model, a prediction equa... |
In this study, the effect of dimethyl ether enriched air (DMEA) on pollutants and performance characteristics a diesel engine was evaluated. The combustion parameters have been evaluated by simulation method. Simulation results show that the in-cylinder pressure increases slightly while the combustion duration is shorter for DMEA-engine compared to the original case. In addition, a comparative test on DMEA-engine was carried out, in which DME was supplied into the intake manifold at a constant concentration to the mass of intake air. The results show that, when operating with DMEA, the brake specific energy consumption (BSEC) reduces slightly at full load condition by 2.20%. While, at a speed of 1600 rpm, the BSEC increases from 2.6% to 7.7% at low load and slides from 3.1% to 5.5% ... |
The state-of-the-art development progress of the fabrication, design, modification, and applications of TiO2-B-based hierarchical nanostructures with a well-controlled size and morphology in lithium-ion battery (LIB) applications has been summarized and discussed. Based on studying on lithiation/delithiation on mechanisms of a typical metal oxide nanomaterials, along with doping with foreign atoms (metal or non-metal), using electronically conductive additives (graphene/graphene derivatives), as well as designing and using hierarchical anode-material nanostructures (hybrids/composites) containing two or more constituents in LIB applications, these strategies have provided many great opportunities to take maximum advantage of both the high capacity and rate capacity while avoiding si... |
A new observation is that fundamental particles possess a dynamical dark charge, which governs both neutrino mass and dark matter, where the neutrino mass is determined via a canonical seesaw, while the dark matter stability is ensured by electric and color charge conservations. We examine the mass spectra of fermions, scalars, and gauge bosons, as well as their interactions, taking into account the kinetic mixing effect of U(1)Y,Ngauge fields. The new physics phenomena at colliders are examined. The dark matter relic density and detection are discussed. |
Polybia-MP1 is a well-known natural antimicrobial peptide that has been intensively studied recently due to its therapeutic potential. MP1 exhibited not only potent antibacterial activity but also antifungal and anticancer properties. More importantly, MP1 shows relatively low hemolytic activity compared to other antimicrobial peptides having a similar origin. Thus, besides investigating possible mechanisms of action, great efforts have been invested to develop this peptide to become more “druggable”. In this review, we summarized all the chemical approaches, both success and failure, that using MP1 as a lead compound to create modified analogs with better pharmacological properties. As there have been thousands of natural AMPs found and deposited in numerous databases, such useful ... |
In this paper, we analyze the secrecy outage probability (SOP) and the fairness of average packet transmission time for a non-orthogonal multiple access (NOMA) system which consists of a base station (BS) and two legal NOMA users in the presence of an eavesdropper (Eve). In order to extract the superimposed signal, the Eve is considered in two modes, i.e., successive interference cancellation (SIC) mode and parallel interference cancellation (PIC) mode. Accordingly, we analyze the secrecy performance of the considered system by deriving a new exact expression for SOP. Furthermore, the optimal power allocation between two legal users is determined such that the average transmission time from BS to two legitimate users are approximately equal to achieve the fairness of average packet ... |
Electrospinning is a low-cost and straightforward method for producing various types of polymers in micro/nanofiber form. Among the various types of polymers, electrospun piezoelectric polymers have many potential applications. In this study, a new type of functional microfiber composed of poly(γ-benzyl-α,L-glutamate) (PBLG) and poly(vinylidene fluoride) (PVDF) with significantly enhanced electromechanical properties has been reported. Recently reported electrospun PBLG fibers exhibit polarity along the axial direction, while electrospun PVDF fibers have the highest net dipole moment in the transverse direction. Hence, a combination of PBLG and PVDF as a core–shell structure has been investigated in the present work. On polarization under a high voltage, enhancement in the net dipol... |
In this work, we developed a Geant4-based code, IS-2020, for photonuclear studies below 200 MeV covering the giant dipole resonance region (GDR). It uses G4LowEGammaNuclearModel, which consists of preequilibrium and equilibrium reaction mechanisms, for sampling the final states of photonuclear reactions. Simulations for photonuclear reactions on 96Mo, 90Zr, and the strongly-deformed nucleus 153Eu targets have been performed for its validation. Moreover, a good agreement was also observed between experimental relative yields and the simulation results of 59Co(,2n)57Co and 50Cr(,2n)48Cr reactions induced by bremsstrahlung. The implemented code will be a useful and reliable tool for photonuclear studies, including designing the experimental setup, estimating the yield of outgoing produ... |
Motivated by the unprecedented high levels of recent economic policy uncertainty in Europe and the globe, this paper examines the relationship between economic policy uncertainty and bank stability, as well as the conditioning effects of bank regulation and supervision on this relationship. Using a sample of more than 950 commercial banks in eight major European countries over the period 2005–2020, economic policy uncertainty has been consistently linked to a sharp decrease in bank stability, once other traditional drivers are controlled for. More importantly, this paper offers important insights into how strengthening bank regulation and supervision, particularly regulations on activity restrictions, capital stringency, official supervisory power, and private monitoring, cushions t... |
The analysis of structural relaxation dynamics of polymers gives an insight into their mechanical properties, whose characterization is used to qualify a given material for its practical scope. The dynamics are usually expressed in terms of the temperature dependence of the relaxation time, which is only available through time-consuming experimental processes following polymer synthesis. However, it would be advantageous to estimate their dynamics before synthesizing them when designing new materials. In this work, we propose a combined approach of artificial neural networks and the elastically collective nonlinear Langevin equation (ECNLE) to estimate the temperature dependence of the main structural relaxation time of polymers based only on the knowledge of the chemical structure ... |
