http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Stilbenes and Oligostilbenes from Leaf and Stem of Vitis amurensis and Their Cytotoxic Activity
Do Thi Ha,Quan Cheng Chen,Tran Manh Hung,Tran Minh Ngoc,Phuong Thien Thuong,김홍진,성연희,민병선,배기환,윤의중 대한약학회 2009 Archives of Pharmacal Research Vol.32 No.2
Chromatographic separation of the EtOAc fraction from the leaf and stem of Vitis amurensis led to the isolation of six oligostilbenoids (i.e., r-2-viniferin (1), trans-amurensin B (2), trans-ε -viniferin (3), gnetinH (4), amurensin G (5), (+)-ampelopsin A (8)) and four stilbenoids (i.e., trans-resveratrol (6), (+)- ampelopsin F (7), piceatannol (9), and trans-piceid (10)). The structures have been identified on the basis of spectroscopic evidence and physicochemical properties. The isolates were investigated for cytotoxic activity against three cancer cell lines in vitro using the MTT assay method. Amurensin G (5) and trans-resveratrol (6) showed significant cytotoxic activity against L1210, K562 and HTC116 cancer cell lines with IC50 values ranging from 15.7 ± 2.1 to 30.9 ± 1.8 μM. (+)-Ampelopsin A (8) and trans-piceid (10) exhibited considerable cytotoxic activity against L1210 (IC50 values of 30.6 ± 4.1 and 28.7 ± 2.81μM, respectively) and K562 (IC50 values of 38.6 ± 0.82 and 24.6 ± 0.76 μM, respectively). Gnetin H (4)showed only weak cytotoxic activity against L1210 with an IC50 value of 40.1 ± 4.23 μM. On the other hand, r-2-viniverin (1), trans-amurensin B (2), trans-ε -viniferin (3), (+)-ampelopsin F (7), and piceatannol(9) exhibited no activity on three cancer cell lines.
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.
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.
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 Hai Pham ),( Quan Anh Tuan Le ),( Hoang Bac Nguyen ),( Quang Hung Vu ),( Thai Ngoc Huy Tran ),( Hang Dang Khoa N Guyen ),( Thi Ngoc Sang Duong ),( Van Toan Tran ) 대한간학회 2020 춘·추계 학술대회 (KASL) Vol.2020 No.1
Aims: Laparoscopic pancreaticoduodenectomy (LPD) is considered as a safe and effective procedure in well - selected patients and appropriate surgical technique. Our aim is to evaluate suitability of using protocol for LPD in treatment of periampullary cancer at a single team. Methods: case series Results: Indication for LPD included 37 cases with resectable tumors which were classified basing on NCCN. All witness evaluation risk of complications with PREPARE score, ASA and evaluation risk of postoperative pancreatic fistula (POPF) with FRS classification. There were 2 open conversions because of vein resections, accounting for 5.4%. Standard lymphadenectomy was performed in all of 37 cases. In term of PREPARE score, major complications (Clavien - Dindo >= III) were 17.8%, 0% and 0% (5/28, 0/5 and 0/2 cases) in low risk, intermediate risk and high risk group, respectively. All of cases had ASA I or II. POPF happened 11.1% (1/9), 4.1% (1/24) and 50% (1/2) in low risk, intermediate risk and high risk group, respectively. Frozen section was needed for R0 margin. Retrieved lymph nodes was 8 - 18 with 12 lymph nodes in average. Conclusions: Indication for LPD with resectable tumors is acceptable. ASA I or II is a safe measure to select patient for LPD. FRS classification shows appropriation to evaluate risk of POPF.
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.
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>
Two New Diterpenes from the Twigs of Cinnamomum cassia
Ngoc, Tran Minh,Ha, Do Thi,Lee, Ik-Soo,Min, Byung-Sun,Na, Min-Kyun,Jung, Hyun-Ju,Lee, Sang-Myung,Bae, Ki-Hwan WILEY-VCH Verlag 2009 Helvetica chimica acta Vol.92 No.10
<P>Two new diterpene derivatives named cinnacasol (1) and cinnacaside (2) were isolated from the MeOH extract of the twigs of Cinnamomum cassia Blume. Their structures were identified based on physicochemical properties and spectroscopic-data analyses such as IR, HR-MS, and 1D- and 2D-NMR, and by comparison with published values.</P> <B>Graphic Abstract</B> <P> <img src='wiley_img/0018019X-2009-92-10-HLCA200900135-content.gif' alt='wiley_img/0018019X-2009-92-10-HLCA200900135-content'> </P>