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Du, Yang,Han, Li-Yuan,Li, Dan-Dan,Liu, Hui,Gao, Yan-Hui,Sun, Dian-Jun Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.9
Background: Associations between Arg399Gln, Arg194Trp and Arg280His polymorphisms of the XRCC1 gene and risk of differentiated thyroid carcinoma (DTC) have been widely studied but the findings are contradictory. Methods: We performed a meta-analysis in the present study using STATA 11.0 software to clarify any associations. Electronic literature databases and reference lists of relevant articles revealed a total of 10, 6 and 6 published studies for the Arg399Gln, Arg194Trp and Arg280His polymorphisms, respectively. Results: No significant associations were observed between Arg399Gln and DTC risk in all genetic models within the overall and subgroup meta-analyses, while the Trp/Trp vs Arg/Arg and recessive model of the Arg194Trp polymorphism was associated with DTC susceptibility, and the dominant model of Arg280His polymorphism contributed to DTC susceptibility in Caucasians. Conclusions: Our meta-analysis suggests that XRCC1 Arg194Trp may be a risk factor for DTC development.
Yan Gao,Junhua Du,Jun Hu,Hui Yu 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.2
This paper is concerned with the robust resilient H∞ state estimation problem for time-varying recurrent neural networks (TVRNNs) with probabilistic quantization under variance constraint. Here, a situation is considered where the signals are quantized before entering the network, and the occurrence probability is assumed to be known. In addition, during the design of the state estimation algorithm, the additive variation of the estimator gain is considered to reflect the parameter deviation that may occur during the execution. The main purpose is to design a finite-horizon resilient state estimation algorithm such that, in the presence of probabilistic quantization and estimator gain perturbation, some sufficient criteria are obtained for the estimation error system to satisfy the prescribed H∞ performance requirement within the finite-horizon and the error variance boundedness. Finally, a numerical example is conducted to verify the feasibility of the presented estimation algorithm against the probabilistic quantization and estimator gain perturbation.
Constituents from Zhuyeqing Liquor with hepatoprotective effect on alcohol-induced HepaG 2 toxicity
Hong-Ying Gao,Guo-Yu Li,Hang-Yu Wang,Jian Huang,Xiao-Wei Du,Ying Han,Li-Fei Wang,Jin-Hui Wang 대한약학회 2015 Archives of Pharmacal Research Vol.38 No.5
An unprecedented new skeleton compound (1R,10R, 11S)-10,11-dimethyl-4-formyl-2,9-dioxa-bicyclo [5.4.0]undeca-4,6-dien-3-one (1), monoterpenoids and monoterpeneglycoside picrocrocinic ester (2), epijasminoside B (3) and 60 -O-(3-methoxyl-4-hydroxyl-coumaroyl)-epijasminoside B (4),along with 26 known compounds, were obtained fromZhuyeqing Liquor. These compounds were identified mainlyby analyzing their NMR, HR-ESI–MS and CD data. The isolatedcompounds were screened against alcohol induced HepaG2 toxicity for hepatoprotective assay. Compounds 10, 19,21 and 26 displayed the highest potency against alcoholinduced HepaG 2 toxicity with the cell viability ratio 41.21,56.91, 67.69 and 70.32 % respectively.
IN SITU UNZIPPING OF CARBON NANOTUBES TO FORM GRAPHENE NANORIBBONS
YONG-SHENG ZHOU,PAN JIN,TENG GUO,YING-CHUN ZHU,GAO-HUI DU,BING-SHE XU 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2014 NANO Vol.9 No.1
We report the one step facile synthesis of graphene nanoribbons (GNRs) by unzipping carbonnanotubes (CNTs) from glucose (C 6 H 12 O 6 ) precursor, using a simple chemical vapor depositionmethod. Some nanotubes are partially cut resulting in a GNR – CNT hybrid whereas others arefully cut to form GNRs. The average length of GNRs achieved by this method is typically in therange of 1 – 10 ? m. The formation of GNRs is ascribed to the in situ oxygen-driven unzipping ofCNTs. The process is free from aggressive oxidants and utilizes the in situ unzipping. Thismethod o®ers an alternative approach for making GNRs, compared to previously used techniquesto synthesize GNRs.