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RISS 인기검색어
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- 저자 : Tuan A. Nguyen (검색결과 5 건)
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A scoping review of cephalometric normative data in children
Tuan Khang Nguyen,Akanksha Cambala,Manuela Hrit,Elizabeth A. Zimmermann 대한치과교정학회 2024 대한치과교정학회지 Vol.54 No.4
Objective: Understanding the orofacial characteristics and growth patterns in children is essential for both orthodontics and research on children with orofacial abnormalities. However, a concise resource of normative data on the size and relative position of these structures in different populations is not available. Our objective was to aggregate normative data to assess the growth of the orofacial skeletal structures in children with a well-balanced face and normal occlusion. Methods: The MEDLINE, Embase, and Scopus databases were searched. Inclusion criteria included longitudinal and cross-sectional studies on cephalometric measurement of skeletal tissues and a study population ≤ 18 years with a well-balanced face and normal occlusion. Key study parameters were extracted, and knowledge was synthesized. A quality appraisal was performed using a 10-point scale. Results: The final selection comprised of 12 longitudinal and 33 cross-sectional studies, the quality of which ranged from good to excellent. Our results showed that from childhood to adulthood, the length of the cranial base increased significantly while the cranial base angle remained constant; both the maxilla and mandible moved forward and downward. The profile becomes straighter with age. Conclusions: Growth patterns in children with a well-balanced face and normal occlusion follow accepted theories of growth.
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Vu X. Nguyen,Qui X. Lieu,Tuan A. Le,Thao D. Nguyen,Takayuki Suzuki,Van Hai Luong 국제구조공학회 2022 Steel and Composite Structures, An International J Vol.42 No.2
A coupled finite element method (FEM)-boundary element method (BEM) for analyzing the hydroelastic response of functionally graded carbon nanotube-reinforced composite (FG-CNTRC) floating plates under moving loads is firstly introduced in this article. For that aim, the plate displacement field is described utilizing a generalized shear deformation theory (GSDT)-based FEM, meanwhile the linear water-wave theory (LWWT)-relied BEM is employed for the fluid hydrodynamic modeling. Both computational domains of the plate and fluid are coincidentally discretized into 4-node Hermite elements. Accordingly, the C1−continuous plate element model can be simply captured owing to the inherent feature of third-order Hermite polynomials. In addition, this model is also completely free from shear correction factors, although the shear deformation effects are still taken into account. While the fluid BEM can easily handle the free surface with a lower computational effort due to its boundary integral performance. Material properties through the plate thickness follow four specific CNT distributions. Outcomes gained by the present FEM-BEM are compared with those of previously released papers including analytical solutions and experimental data to validate its reliability. In addition, the influences of CNT volume fraction, different CNT configurations, water depth, and load speed on the hydroelastic behavior of FG-CNTRC plates are also examined.
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Thanh Q. Nguyen,Tuan A. Nguyen,Thuy T. Nguyen 한국강구조학회 2022 International Journal of Steel Structures Vol.22 No.4
Using power-spectral density (PSD) analysis for structures, we evaluated defects following a widespread research trend. During the structure’s operation, PSD not only demonstrated its structural integrity at the time of surveying but also predicted future changes in the structure. The present research used changes in PSD as a key feature for monitoring a beam structure’s shearing patterns. Two shearing models—side shearing and shearing under the beam—revealed changes in the shape of PSD images that corresponded to degrees of defect in the diff erent shearing models. We applied these results to the monitoring of simple actual span structures over a long period of time. We monitored the structure’s operational status over time to examine the increased infl uence of structural defects based on signifi cant changes in the PSD regarding spectral amplitude and spectral width. The frequencies initially found in the high-frequency region of PSD tended to shift toward the lower-frequency regions before disappearing entirely. In the future, the results of this research may improve the evaluation of structural integrity through variations of PSD in vibrational spectral shapes.
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Human MUS81 complexes stimulate flap endonuclease 1
Shin, Yong‐,Keol,Amangyeld, Tamir,Nguyen, Tuan A.,Munashingha, Palinda R.,Seo, Yeon‐,Soo Blackwell Publishing Ltd 2012 FEBS JOURNAL Vol.279 No.13
<P>The yeast heterodimeric Mus81–Mms4 complex possesses a structure‐specific endonuclease activity that is critical for the restart of stalled replication forks and removal of toxic recombination intermediates. Previously, we reported that Mus81–Mms4 and Rad27 (yeast FEN1, another structure‐specific endonuclease) showed mutual stimulation of nuclease activity. In this study, we investigated the interactions between human FEN1 and MUS81–EME1 or MUS81–EME2, the human homologs of the yeast Mus81–Mms4 complex. We found that both MUS81–EME1 and MUS81–EME2 increased the activity of FEN1, but FEN1 did not stimulate the activity of MUS81–EME1/EME2. The MUS81 subunit alone and its N‐terminal half were able to bind to FEN1 and stimulate its endonuclease activity. A truncated FEN1 fragment lacking the C‐terminal region that retained catalytic activity was not stimulated by MUS81. Michaelis–Menten kinetic analysis revealed that MUS81 increased the interaction between FEN1 and its substrates, resulting in increased turnover. We also showed that, after DNA damage in human cells, FEN1 co‐localizes with MUS81. These findings indicate that the human proteins and yeast homologs act similarly, except that the human FEN1 does not stimulate the nuclease activities of MUS81–EME1 or MUS81–EME2. Thus, the mammalian MUS81 complexes and FEN1 collaborate to remove the various flap structures that arise during many DNA transactions, including Okazaki fragment processing.</P><P><B>Structured digital abstract</B></P><P><P> FEN1physically interacts with MUS81 and EME2 by anti tag coimmunoprecipitation (View interaction)</P><P> FEN1physically interacts with MUS81 and EME1 by anti tag coimmunoprecipitation (View interaction)</P><P> MUS81physically interacts with FEN1 by pull down (View interaction)</P><P> FEN1 and MUS81colocalize by fluorescence microscopy (View interaction)</P><P> FEN1physically interacts with MUS81 by anti tag coimmunoprecipitation (View interaction)</P></P>
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