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( Dang Hai Dang Nguyen ),( Sung-hoon Park ),( Phuong Lan Tran ),( Jung-wan Kim ),( Quang Tri Le ),( Winfried Boos ),( Jong-tae Park ) 한국미생물생명공학회(구 한국산업미생물학회) 2019 Journal of microbiology and biotechnology Vol.29 No.3
We first confirmed the involvement of MalQ (4-α-glucanotransferase) in Escherichia coli glycogen breakdown by both in vitro and in vivo assays. In vivo tests of the knock-out mutant, ΔmalQ, showed that glycogen slowly decreased after the stationary phase compared to the wild-type strain, indicating the involvement of MalQ in glycogen degradation. In vitro assays incubated glycogen-mimic substrate, branched cyclodextrin (maltotetraosyl-β-CD: G4-β-CD) and glycogen phosphorylase (GlgP)-limit dextrin with a set of variable combinations of E. coli enzymes, including GlgX (debranching enzyme), MalP (maltodextrin phosphorylase), GlgP and MalQ. In the absence of GlgP, the reaction of MalP, GlgX and MalQ on substrates produced glucose-1-P (glc-1-P) 3-fold faster than without MalQ. The results revealed that MalQ led to disproportionate G4 released from GlgP-limit dextrin to another acceptor, G4, which is phosphorylated by MalP. In contrast, in the absence of MalP, the reaction of GlgX, GlgP and MalQ resulted in a 1.6-fold increased production of glc-1-P than without MalQ. The result indicated that the G4-branch chains of GlgP-limit dextrin are released by GlgX hydrolysis, and then MalQ transfers the resultant G4 either to another branch chain or another G4 that can immediately be phosphorylated into glc-1-P by GlgP. Thus, we propose a model of two possible MalQ-involved pathways in glycogen degradation. The operon structure of MalP-defecting enterobacteria strongly supports the involvement of MalQ and GlgP as alternative pathways in glycogen degradation.
Presence of β-Amylase in Ramie Leaf and its Anti-staling Effect on Rice Cake
Dang Hai Dang Nguyen,Phuong Lan Tran,하현숙,이진실,홍완수,Quang Tri Le,오병철,박성훈 한국식품과학회 2015 Food Science and Biotechnology Vol.24 No.1
Presence of β-amylase in ramie leaf and its anti-staling effect on starch-based foods were assessed. The ammonium sulfate fractionate (80% saturation) of the ramie leaf extracts showed a β-amylase activity, giving maltose (Glc2) as a major product, exclusively, when incubating with maltopentaose (Glc5) or soluble starch at 45oC, pH 6.0. The starch-based food product (rice cake) prepared with freeze-dried ramie leaf enzyme revealed that the linear maltooligosaccharides ranging from Glc2 to Glc6 significantly increased and the shorter branch chains (DP<15) of amylopectin increased whereas the longer branch chains (DP>16) decreased in the product. These results demonstrated that maltosyl residue was released from the non-reducing end of the longer branch chains of amylopectin by β-amylase. The ramie leaf-treatment sample significantly reduced the retrogradation rate during 48 h storage at 4℃. As an alternative plant-origin enzyme, the ramie leaf β-amylase has potential for a novel anti-staling additive.
Camber effect on the stability and power performance of a right-swing hydrofoil turbine
Nguyen Le Dang Hai,Le Tuyen Quang,Jeong Dasom,고진환 대한조선학회 2022 International Journal of Naval Architecture and Oc Vol.14 No.1
In this study, performance of a right-swing turbine with a cambered hydrofoil was analyzed by CFD numerical simulations to assess its stability and power efficiency. It is found from the analysis that the right-swing trajectory, which is close to the kinematics of flying or swimming creatures, has advantages over the left-swing trajectory in terms of stability with a slight loss of the power efficiency. A cambered hydrofoil can be utilized to offset this loss, but doing so negatively affects the stability at the turning positions of the flapping motion. Consequently, in order to guarantee stability and high efficiency of a right-swing hydrofoil turbine, camber shapes adjustable at the positions of flapping motion, which is an excellent feature of flight and swimming creatures, are mandatory. Eventually, the analysis results of this study will be utilized to develop a high-performance flapping hydrofoil turbine.
Study on the Design of Underwater Chain Trencher
N. L. D. Hai(Nguyen Le Dang Hai),J. Kim,O S. Kwon,J. H. Ko 유공압건설기계학회 2019 유공압건설기계학회 학술대회논문집 Vol.2019 No.6
In this study, a design process for an underwater trencher is introduced. Design optimization based on genetic algorithm is applied to obtain an optimal design and then chain-sprocket selection is followed. The prototype is fabricated based on the design process and is successfully demonstrated.
Ha-Linh Quach,Thai Quang Pham,Ngoc-Anh Hoang,Dinh Cong Phung,Viet-Cuong Nguyen,Son Hong Le,Thanh Cong Le,Dang Hai Le,Anh Duc Dang,Duong Nhu Tran,Nghia Duy Ngu,Florian Vogt,Cong-Khanh Nguyen 대한의료정보학회 2022 Healthcare Informatics Research Vol.28 No.4
Objectives: Online misinformation has reached unprecedented levels during the coronavirus disease 2019 (COVID-19) pandemic. This study analyzed the magnitude and sentiment dynamics of misinformation and unverified information about public health interventions during a COVID-19 outbreak in Da Nang, Vietnam, between July and September 2020. Methods: We analyzed user-generated online information about five public health interventions during the Da Nang outbreak. We compared the volume, source, sentiment polarity, and engagements of online posts before, during, and after the outbreak using negative binomial and logistic regression, and assessed the content validity of the 500 most influential posts. Results: Most of the 54,528 online posts included were generated during the outbreak (n = 46,035; 84.42%) and by online newspapers (n = 32,034; 58.75%). Among the 500 most influential posts, 316 (63.20%) contained genuine information, 10 (2.00%) contained misinformation, 152 (30.40%) were non-factual opinions, and 22 (4.40%) contained unverifiable information. All misinformation posts were made during the outbreak, mostly on social media, and were predominantly negative. Higher levels of engagement were observed for information that was unverifiable (incidence relative risk [IRR] = 2.83; 95% confidence interval [CI], 1.33–0.62), posted during the outbreak (before: IRR = 0.15; 95% CI, 0.07–0.35; after: IRR = 0.46; 95% CI, 0.34-0.63), and with negative sentiment (IRR = 1.84; 95% CI, 1.23–2.75). Negatively toned posts were more likely to be misinformation (odds ratio [OR] = 9.59; 95% CI, 1.20–76.70) or unverified (OR = 5.03; 95% CI, 1.66–15.24). Conclusions: Misinformation and unverified information during the outbreak showed clustering, with social media being particularly affected. This indepth assessment demonstrates the value of analyzing online “infodemics” to inform public health responses.