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LONG, Nguyen Tien Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.12
The neoclassical economic supporters have suggested that foreign direct investment and raw material (e.g., coal, electricity, gas, and oil) are critical economic growth inputs. Few previous studies have analyzed the relationship between foreign direct investment and energy consumption on economic growth. However, existing studies usually have applied the frequentist inference. The limitation of the frequentist inference is that, if the coefficient of the independent variable is not yet significant, then conclusions might be unreliable. By applying the Bayesian approach, the main aim of this study is to revisit the impact of foreign direct investment, electricity consumption, and urbanization on economic growth in six ASEAN countries from 1980 to 2016. The obtained outcome shows that the impact of electricity consumption is evident and positive on economic growth in both frequentist and Bayesian inferences. However, the influence of foreign direct investment is not identified by frequentist inference, while Bayesian inference provides evidence that foreign direct investment is a moderately positive impact on economic growth. The empirical result from Bayesian inference contributes to the literature on foreign direct investment modeling and could be of significant importance for a more efficient foreign direct investment attracting and achieve sustainability in the long-term.
Copper Tolerance of Novel Rhodotorula sp. Yeast Isolated from Gold Mining Ore in Gia Lai, Vietnam
Kim Cuc Thi Nguyen,Phuc Hung Truong,Cuong Tu Ho,Cong Tuan Le,Khoa Dang Tran,Tien Long Nguyen,Manh Tuan Nguyen,Phu Van Nguyen 한국균학회 2023 Mycobiology Vol.51 No.6
In this study, twenty-five yeast strains were isolated from soil samples collected in the goldmining ore in Gia Lai, Vietnam. Among them, one isolate named GL1T could highly tolerateCu2þ up to 10 mM, and the isolates could also grow in a wide range of pH (3–7), and temperature(10–40 �C). Dried biomass of GL1 was able to remove Cu2þ effectively up to 90.49%with a maximal biosorption capacity of 18.1 mg/g at pH 6, temperature 30 �C, and incubationtime 60 min. Sequence analysis of rDNA indicated this strain was closely related toRhodotorula mucilaginosa but with 1.53 and 3.46% nucleotide differences in the D1/D2domain of the 28S rRNA gene and the ITS1-5.8S rRNA gene-ITS2 region sequence, respectively. Based on phylogenetic tree analysis and the biochemical characteristics, the strainappears to be a novel Rhodotorula species, and the name Rhodotorula aurum sp. nov. is proposed. This study provides us with more information about heavy metal-tolerant yeasts andit may produce a new tool for environmental control and metal recovery operations.
Nguyen Huu-Phan,Banh Tien-Long,Le Quang-Dung,Nguyen Duc-Toan,T. Muthuramalingam Korean Society for Precision Engineering 2019 한국정밀공학회지 Vol.36 No.9
Powder mixed electrical discharge machining (PMEDM) is a new machining technology. The optimization of process parameters in PMEDM is being researched. The determination of the value of the weights of quality indicators in a multiobjective optimization problem is often complex and difficulty. Preferential selection index (PSI) is a new computational technique for solving multi-objective problems. This contributes to the process of solving the multi-objective optimization problems. In this study, material removal rate (MRR) and surface roughness (SR) were optimized with the help of the PSI method. The specimen and tool materials, electrode polarity, current, pulse-on-time, pulse-off-time and powder concentration were considered. The investigation showed that powder concentration can increase MRR with lower SR. The most significant factor was the electrode material. The optimal values were found as SKD11 (workpiece), Gr (tool), + (polarity), 5 ㎲ (ton), 57 ㎛ (toff), 8A (current) and 10 g/l (powder concentration) with a high accuracy of 7.82%. The electrode material and powder concentration could provide strong influence on the performance measures owing to their importance on determining spark energy in the PMEDM. The research results were compared with those of TOPSIS, GRA and MOORA methods. In conclusion, PSI is the method for the highest efficiency.
Scientific and technological journals in Vietnam: the current state and direction of development
Banh Tien Long,Nguyen Duc Toan 한국과학학술지편집인협의회 2015 Science Editing Vol.2 No.1
Vietnam is on its way to becoming a more developed country and more integrated into the global community. One of the most important key factors for development is science and technology. Scientific publications bring the most up-to-date information to scientists, researchers, and society. The quality of Vietnam’s scientific journals should be increased to international level. Also, the number of high quality articles published in international journals from Vietnam is limited compared to the number of researchers in Vietnam. There is still no Vietnamese journal indexed in Web of Science up to January 2015; while, three journals has been indexed in Scopus. This article discusses the current scenario of scientific and technological journals in Vietnam and the trend of development to international level.
Thi-Bich Mac,Tien-Long Banh,Duc-Toan Nguyen Korean Society for Precision Engineering 2019 한국정밀공학회지 Vol.36 No.9
In this work, we present an experimental study on cutting force and chip shrinkage coefficient during the milling of SKD11 steel at elevated temperatures using a high-frequency induction heating method. To improve the determination of the chip shrinkage coefficient, a 3D scanning method incorporating GOM Inspect 3D data analysis software was used to measure the chip length. To evaluate the effect of the heating process on output data such as chip geometry, cutting force, and chip shrinkage coefficient, cutting experiments were conducted at room and elevated temperatures with the same machining parameters of cutting speed, feed rate, and cutting depth. The Taguchi orthogonal array method was subsequently used for experimental design to obtain optimum values of the machining parameters. The analysis of variance method was also performed to indicate the percentage effect of the machining parameters on the cutting force and chip shrinkage coefficient. Finally, models of the cutting force and chip shrinkage coefficient during thermal-assisted milling of SKD11 were established and compared with experimental data.
Bui Van-Bien,Banh Tien-Long,Nguyen Duc-Toan 한국정밀공학회 2019 한국정밀공학회지 Vol.36 No.8
From 2010, the first version of Microsoft Kinect, a low-cost RGB-D camera, was released which used structured light technology to capture depth information. This device has been widely applied in many segments of the industry. In July 2014, the second version of Microsoft Kinect was launched with improved hardware. Obtaining point clouds of an observed scene with high frequency being possible leads to imaging its application to meeting the demand of 3D data acquisition. However, evaluating device capacity for mechanical part modeling has been a challenge needed to be solved. This paper intends to enhance acquired depth maps of the Microsoft Kinect v2 device for mechanical part modeling and receive an assessment about the accuracy of 3D reconstruction. Influence of materials for mechanical part modeling is also evaluated. Additionally, experimental methodology for 3D modeling of the mechanical part is finally reported to ascertain the proposed model in this paper.
Hai Thi Hong Truong,김수연,Hung Ngoc Tran,Thuy Thi Thu Nguyen,Long Tien Nguyen,Toan Kim Hoang 한국원예학회 2015 Horticulture, Environment, and Biotechnology Vol.56 No.4
We report the development of a codominant sequence characterized amplified region (SCAR) marker linked to resistance to a Korean R. solanacearum isolate in tomato line Hawaii 7996. Bulked segregant analysis was employed for rapid identification of RAPD markers linked to resistance genes. Genomic DNA from six resistant F9 recombinant inbred lines (RILs) and six susceptible F9 RILs, which derived from a cross between S. lycopersicum Hawaii 7996 (resistant parent) and S. pimpinellifolium WVa 700 (susceptible parent) were pooled in to an R-pool and an S-pool, respectively. A total of 800 RAPD primers were screened and only six primers (UBC#176, 205, 287, 317, 350, and 676) showed polymorphism between R- and S- pools. Of these, only two markers UBC#176 and 317 revealed a 100% linkage in the individual plants comprising the contrasting bulks. Of these, the marker UBC#176 was converted into a co-dominant SCAR marker and designated as SCU176-534. The marker SCU176-534 was confirmed by genotyping the individual of the R- and S- pools and gave the same result as UBC#176. When the marker SCU176-534 was further validated for association with resistance and its potential for maker-assisted selection (MAS) in 92 tomato lines and cultivars, the results showed that none of these carries the resistance gene. Thus, SCAR marker SCU176-534 can be used in early selection of resistant lines when Hawaii 7996 is used as a parent in a breeding program.