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Extensional midline framework built with porous polyethylene implant (Medpor) in rhinoplasty
Chen Zhang,Xiao-Li Jiang,Chun-Ying Ge,Li-Nan Song 대한미용의학회 2017 대한미용의학회지 Vol.1 No.1
Background: In East Asians, the main steps of rhinoplasty include the regulation of the nasal tip projection along with dorsal augmentation. A complete septal extension graft and columella strut graft are effective tools for the correction of unprojected tips and short noses. However, autologous cartilages cannot provide enough cartilage for the graft. Moreover, use of rib cartilages will leave an additional scar on the patient’s chest, and these are not considered a common source of cartilage. Therefore, the authors used porous high-density polyethylene (Medpor) sheets to rebuild extensional midline framework in rhinoplasty. Objective: To study the possibility and the method of porous high-density polyethylene (Medpor) sheets used as extensional midline framework in rhinoplasty. Methods: From May 2012 to May 2016, 78 patients underwent primary rhinoplasty with a midline framework built with Medpor. The patients’ ages ranged from 22 to 48 years (mean±SD, 26±5.2 years). Seventy-five patients were women, and three were men. The patients selected Medpor because of a lack of adequate autogenous septal cartilage and refusal to use rib cartilage. Results: The patients were followed up for 6 months to 4 years, with a mean follow-up period of 18 months, in 3-month intervals, and examined for extrusion, infection, and aesthetic outcomes. In the 78 patients, 156 pieces of Medpor graft were used with 78 extensional septal grafts and 78 columella strut grafts. Nasal tip projection and columella-labial angle were changed significantly after the surgery in 67 of the 78 patients. Complications occurred in 11 patients, of whom one had two minor complications of deviated tip and columella. Conclusion: The porous high-density polyethylene sheets are easier to handle and effective as materials to build an extensional midline framework in rhinoplasty. However, the size of the porous high-density polyethylene sheets should be tailored carefully based on the preoperative assessment; otherwise, severe complications will occur.
Chen Zhang,Haibo Liu,Yan Ji 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.5
This paper studies the maximum likelihood identification problems of the bilinear-in-parameter outputerror systems with colored noise. A hierarchical maximum likelihood gradient-based iterative (H-MLGI) algorithm, a filtering hierarchical maximum likelihood gradient-based iterative (F-H-MLGI) algorithm and a filtering hierarchical maximum likelihood multi-innovation gradient-based iterative (F-H-ML-MIGI) algorithm are developed for a bilinear-in-parameter output-error system by using the data filtering technique and multi-innovation identification theory. The analysis shows that compared with the H-MLGI algorithm, the F-H-MLGI algorithm can improve the parameter estimation accuracy. Additionally, the F-H-ML-MIGI can give more accurate parameter estimates than the F-H-MLGI algorithm and can track time-varying parameters based on the dynamical window data. The performances of the proposed identification algorithms are illustrated through simulation example.
A Combinational Prediction Model for Transverse Crack of Asphalt Pavement
Chen Zhang,Hainian Wang,Xu Yang,Zhanping You 대한토목학회 2018 KSCE Journal of Civil Engineering Vol.22 No.6
Reliable transverse crack prediction can benefit the design and maintenance and improve the reliability of field investigation forasphalt pavement in permafrost regions of Qinghai-Tibet plateau. This study adopted the crack prediction model in the newlydeveloped pavement design method named Pavement ME Design (PMED) and the modified grey predictive model (GM (1, 1)) topredict the transverse crack of asphalt pavement in permafrost regions. The complementary advantages for the two models based onthe weight distribution theory were discussed, and a combined prediction model (PME-DGM combination model) taking accountinto region characteristics was developed. Finally, the applicability of combined prediction model was analyzed. The result showedthat, the predictive accuracy of PME-DGM combination model established by the error sum of squares reciprocal method was thehighest, the best weight allocations for each sub-model were LNCH = 0.601 and LDGM = 0.399, and the combination model can beapplied in the permafrost region involved in this paper; The combination model is more appropriate in predicting the developmenttrend of transverse crack of project-level asphalt pavement in permafrost regions; For PMED predictive model, this study raised amodified method base on a third-party model (DGM (1,1), and the result showed that the method worked well in the permafrostregion of Qinghai-Tibet plateau.
Chen Zhang,Wei Wang,Zhi-Duo Zhu,Na Li,Shao-Yun Pu,Yu Wan,Wang-Wen Huo 대한토목학회 2022 KSCE Journal of Civil Engineering Vol.26 No.1
To investigate the effect of graphene (G) on the triaxial mechanical characteristics of cement stabilized soil, a triaxial unconsolidated and undrained (UU) test was conducted on cement stabilized expansive soil (CES) and graphene-modified cement stabilized expansive soil (GCES) with 0.05%, 0.1%, 0.15%, and 0.2%G content, respectively. The experimental results showedthat compared with CES, the deviatoric stress-strain curve of GCES showed a more obvious softening characteristic. The addition of G had a good modification effect on the triaxial mechanical characteristics of CES, and with the increase of the content of G, the compressive strength and shear strength of CES increased first and then decreased, and reached the best value when the G content was 0.1%. The failure angle predicted by the Mohr-Coulomb failure angle formula had a good correlation with the measured failure angle of soil specimens, so it could provide help for the prediction of soil failure surface in practical engineering. Besides, the scanning electron microscope (SEM) analysis indicated that the internal structure of CES was improved due to G addition.
( Chen Zhang ),( Zhengfu Zhou ),( Wei Zhang ),( Zhen Chen ),( Yuan Song ),( Wei Lu ),( Min Lin ),( Ming Chen ) 한국미생물 · 생명공학회 2015 Journal of microbiology and biotechnology Vol.25 No.12
IrrE is a highly conserved global regulator in the Deinococcus genus and contributes to survival from high doses of UV radiation, ionizing radiation, and desiccation. Drad-IrrE and Dgob-IrrE from Deinococcus radiodurans and Deinococcus gobiensis I-0 each share 66% sequence identity. However, Dgob-IrrE showed a stronger protection phenotype against UV radiation than Drad-IrrE in the D. radiodurans irrE-deletion mutant (ΔirrE), which may be due to amino acid residues differences around the DNA-binding HTH domain. Site-directed mutagenesis was used to generate a Drad-IrrE A184S single mutant, which has been characterized and compared with the ΔirrE mutant complemented strain with Drad-irrE, designated ΔirrE-E. The effects of the A184S mutation following UV radiation and mitomycin C (MMC) shock were determined. The A184S mutant displayed significantly increased resistance to UV radiation and MMC shock. The corresponding A184 site in Dgob-IrrE was inversely mutated, generating the S131A mutant, which exhibited a loss of resistance against UV radiation, MMC shock, and desiccation. qPCR analysis revealed that critical genes in the DNA repair system, such as recA, pprA, uvrA, and ddrB, were remarkably induced after UV radiation and MMC shock in the ΔirrE-IE and A184S mutants. These data suggested that A184S improves the ability against UV radiation and MMC shock, providing new insights into the modification of IrrE. We speculated that the serine residue may determine the efficiency of DNA binding, leading to the increased expression of IrrE-dependent genes important for protection against DNA damage.
Endocrinology of female reproduction, and its implication of pest management
Chen Zhang,Yong-Hoon Jang,Young-Joon Kim 한국응용곤충학회 2018 한국응용곤충학회 학술대회논문집 Vol.2018 No.04
Reproduction is essential for the survival of a species and is under the close coordination of the central nerve system (CNS). In Drosophila melanogaster, juvenile hormones (JHs) from the corpora allatum(CA) are essential for egg-production because they promote vitellogenesis and enhance ecdysteroid biosynthesis. JH biosynthesis is under the control of neuropeptides, such as Drosophila insulin-like peptide (dilp) and allatostatin C (AstC). However, how these neuropeptide pathways coordinate JH production remain elusive. Here, we report a small number of neurons in the brain and ventral nerve cord (VNC) neurons that produce a neuropeptide AstC regulate egg-production negatively. The brain neurons seem to act indirectly by inhibiting secretion of dilp that up-regulates JH production, whereas the VNC neurons seem to release AstC into the hemolymph to suppress the CA activity directly. On the CA, the AstC actions appear mediated by two G-protein coupled receptors, AstC-R1 and AstC-R2. We will discuss our recent efforts to identify agonists for either receptor, which will be potential leads for insect reproduction regulators.