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Chien Minh Tran,Ngoc Thi‑Thanh Nguyen,Minh Hieu Ho,Vinh Khanh Doan,Khanh Loan Ly,Nhi Ngoc‑Thao Dang,Nam Minh‑Phuong Tran,Hoai Thi‑Thu Nguyen,Long Phuoc Truong,Thai Minh Do,Quyen Ngoc Tran,Hien Quoc Ng 한국섬유공학회 2023 Fibers and polymers Vol.24 No.1
In this study, we proposed a straightforward electrospun polycaprolactone (PCL) loaded with silver nanoparticles (SNPs)membrane fabrication process, in which SNPs were directly synthesized from silver nitrate (AgNO3) in PCL–acetone mixtureby gamma irradiation. The insolubility of AgNO3in PCL solution was solved using an auxiliary dimethyl sulfoxide solvent. As a physical approach, gamma rays readily converted silver ions into SNPs without the addition of harmful reductionagents, which reduced the cytotoxicity of the synthesized material. By avoiding some processes such as purification, solventremoval, or redispersion of SNPs, this method was more time-saving compared to other related studies. SNPs formation wasconfirmed by both UV–Visible spectrum (UV–Vis) and X-ray diffraction analysis. Scanning electron microscopy (SEM)revealed that the addition of SNPs significantly reduced the fiber diameter of PCL–Ag membranes compared to that of rawPCL. Uniform spherical-shaped SNPs incorporated in PCL fibers were observed under transmission electron microscopy(TEM). The tensile test showed that the electrospun PCL–Ag membranes exhibited good mechanical characteristics. Moistureeasily penetrated the porous microstructure of PCL–Ag, facilitating wound humidity regulation. Inductively coupledplasma-mass spectroscopy (ICP-MS) was employed to study the release profiles of SNPs at different time intervals. Overall,the PCL–Ag 500 ppm sample exerted excellent antibacterial activity against Pseudomonas aeruginosa and Staphylococcusaureus strains and low in vitro cytotoxicity.
NGOC, Tran Minh,HUNG, Tran Manh,THUONG, Phuong Thien,KIM, Jin-Cheon,CHOI, Jae Sue,BAE, KiHwan,HATTORI, Masao,CHOI, Chung-Sig,LEE, Joon Seok,MIN, Byung-Sun Japan Society for Bioscience, Biotechnology, and A 2008 Bioscience, Biotechnology, and Biochemistry Vol.72 No.8
<P>Two phenolics, 1,2,6-trigalloylglucose (<B>1</B>) and 1,2,3,6-tetragalloylglucose (<B>2</B>), isolated from the stem-bark of <I>Juglans mandshurica</I> were evaluated for their antioxidative activities. The results showed that compounds <B>1</B> and <B>2</B> exhibited strong scavenging activities against 1,1′-diphenyl-1-picrylhydrazyl (DPPH), 2,2′-azino-bis-(3-ethylbenzenthiazoline-6-sulphonic) acid (ABTS<SUP>•+</SUP>), and superoxide radicals (O<SUB>2</SUB><SUP>•−</SUP>), and also had a significant inhibitory effect on lipid peroxidation and low-density lipoprotein (LDL) oxidation. The strong superoxide radical scavenging of <B>1</B> and <B>2</B> resulted from the potential competitive inhibition with xanthine at the active site of xanthine oxidase (OX). In addition, compounds <B>1</B> and <B>2</B> displayed significant lipoxygenase inhibitory activity, the mode of inhibition also being identified as competitive. In comparison, the antioxidative activities of compounds <B>1</B> and <B>2</B>, together with gallic acid, indicated that the number of galloyl moieties could play an important role in the antioxidative activity.</P>
Topology optimization with functionally graded multi-material for elastic buckling criteria
Minh-Ngoc Nguyen,Dongkyu Lee,Joowon Kang,Soomi Shin 국제구조공학회 2023 Steel and Composite Structures, An International J Vol.46 No.1
This research presents a multi-material topology optimization for functionally graded material (FGM) and nonFGM with elastic buckling criteria. The elastic buckling based multi-material topology optimization of functionally graded steels (FGSs) uses a Jacobi scheme and a Method of Moving Asymptotes (MMA) as an expansion to revise the design variables shown first. Moreover, mathematical expressions for modified interpolation materials in the buckling framework are also described in detail. A Solid Isotropic Material with Penalization (SIMP) as well as a modified penalizing material model is utilized. Based on this investigation on the buckling constraint with homogenization material properties, this method for determining optimal shape is presented under buckling constraint parameters with non-homogenization material properties. For optimal problems, minimizing structural compliance like as an objective function is related to a given material volume and a buckling load factor. In this study, conflicts between structural stiffness and stability which cause an unfavorable effect on the performance of existing optimization procedures are reduced. A few structural design features illustrate the effectiveness and adjustability of an approach and provide some ideas for further expansions.
Asynchronous Deep Reinforcement Learning based QoS Supporting Scheduler for Kubernetes
Minh Ngoc Tran,Young Han Kim 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.11
Due to the nature of task scheduling problem in cloud environment is a decision-making problem, Deep Reinforcement Learning has been utilized to achieve adaptive intelligence cloud scheduler. Most of Deep Reinforcement Learning proposed design for cloud scheduler focus on optimizing resources utilization between cloud clusters and nodes. However, in 5G networks, QoS guarantee for tasks is another important requirement where there are large amounts of critical-delay tasks. In this paper, we use apply Deep Reinforcement Learning to build a QoS-guarantee scheduler but with an asynchronous design to improve training time and accuracy of previous Deep Reinforcement Learning system.
A Cloud QoS-driven Scheduler based on Deep Reinforcement Learning
Minh Ngoc Tran,Young Han Kim 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
Task scheduling is one of the most challenging issue in cloud management. Because it is a decision-making problem, Reinforcement Learning has been utilized by several works to build an intelligent and efficient cloud task scheduler. However, while resources utilization was used as the key factor to schedule task in most studies, another crucial requirement for cloud task scheduling which is tasks’ Quality-of-Service (QoS) guarantee has not been approached yet. Therefore, in this paper, we present a Deep Reinforcement Learning-based task scheduler which focus on QoS guarantee.
Kubernetes Microservices Migration with Deep Reinforcement Learning
Minh Ngoc Tran,Young Han Kim 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
In recent years, service providers have shifted their service deployment scheme to microservice based architecture at the edge. Monolithic application can be deployed as multiple microservice containers and be close to users. However, because resources capacity at edge is limited, microservices cannot satisfy QoS requirements when they need to consume additional computing resources to handle increasing requests from users at high traffic period. To avoid this unwanted overload situation, service migration strategy is required inside the container orchestrator. Considering Kubernetes is the most popular orchestrator and migration scheduler is not one of its available features, we propose a deep reinforcement learning based migration scheduler to address this issue. Our scheduler aims to minimize communication overhead increase between microservices after migration and maximize resources utilization between nodes.
( Minh Ngoc Nghiem ),( Bac Van Nguyen ),( Son Thai Nguyen ),( Thuy Thi Bich Vo ),( Hai Van Nong ) 한국미생물 · 생명공학회 2015 Journal of microbiology and biotechnology Vol.25 No.5
Tuberculosis (TB) is the most common mycobacterial infection in developing countries, requiring a rapid, accurate, and well-differentiated detection/diagnosis. For the rapid detection and discrimination of Mycobacterium tuberculosis complex (MTC) from nontuberculous mycobacteria (NTM), a novel, simple, and primer-combined single-step multiplex PCR using three primer pairs (6110F-6110R, 1081F-1081R, and 23SF-23SR; annealing on each of IS6110, IS1081, and 23S rDNA targets), hereafter referred to as a triplex PCR, has been developed and evaluated. The expected product for IS6110 is 416 bp, for IS1081 is 300 bp, and for 23S rDNA is 206 bp by single PCR, which was used to verify the specificity of primers and the identity of MTC using DNA extracted from the M. tuberculosis H37Rv reference strain (ATCC, USA) and other mycobacteria other than tuberculosis (MOTT) templates. The triplex PCR assay showed 100% specificity and 96% sensitivity; the limit of detection for mycobacteria was ~100 fg; and it failed to amplify any target from DNA of MOTT (50 samples tested). Of 307 blinded clinical samples, overall 205 positive M. tuberculosis samples were detected by single PCR, 142 by conventional culture, and 90 by AFB smear methods. Remarkably, the triplex PCR could subsequently detect 55 positive M. tuberculosis from 165 culture-negative and 115 from 217 AFB smear-negative samples. The triplex PCR, targeting three regions in the M. tuberculosis genome, has proved to be an efficient tool for increasing positive detection/ discrimination of this bacterium from clinical samples.
The manufacturing of sintered bricks from clay and red mud derived from the alumina processing plant
Ngoc Tuyen Tran,Duc Vu Quyen Nguyen,Van Minh Hai Ho,Xuan Tin Dang,Ngoc Quang Tran 한양대학교 청정에너지연구소 2017 Journal of Ceramic Processing Research Vol.18 No.5
In this study, the manufacturing of sintered bricks from clay and red mud was presented. The initial materials and obtainedbricks were characterized by X-ray diffraction (XRD), scanning electron microscope (SEM), transmission electron microscope(TEM), X-ray fluorescence (XRF), and differential scanning calorimetry-thermal gravimetry (DSC-TG). The compressivestrength, water absorption, bulk density and sintering shrinkage of sintered bricks were performed. The effects of componentsof raw materials, sintering temperature and time on physico-mechanical properties of the products was investigated. Theresults showed that the bricks prepared at 1000 oC for 1 hr with raw material containing up to 50% of red mud providedexcellent physico-mechanical properties. The obtained brick met the Vietnam standard VS1451-1998 and was satisfied theconstruction material requirements that were safe to human’s health and friendly with environment in terms of alkalineleaching and radioactivity indexes.