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Xu Liang Deng,Xiao Ping Yang 한국탄소학회 2012 Carbon Letters Vol.13 No.3
Poly-L-lactic acid (PLLA), PLLA/hydroxyapatite (HA), PLLA/multiwalled carbon nanotubes (MWNTs)/HA, PLLA/trifluoroethanol (TFE), PLLA/gelatin, and carbon nanofibers (CNFs)/β-tricalcium phosphate (β-TCP) composite membranes (scaffolds) were fabricated by electrospinning and their morphologies, and mechanical properties were characterized for use in bone tissue regeneration/guided tissue regeneration. MWNTs and HA nanoparticles were well distributed in the membranes and the degradation characteristics were improved. PLLA/MWNTs/HA membranes enhanced the adhesion and proliferation of periodontal ligament cells (PDLCs) by 30% and inhibited the adhesion of gingival epithelial cells by 30%. Osteoblast-like MG-63 cells on the randomly fiber oriented PLLA/TEF membrane showed irregular forms, while the cells exhibited shuttle-like shapes on the parallel fiber oriented membrane. Classical supersaturated simulated body fluids were modified by CO2 bubbling and applied to promote the biomineralization of the PLLA/gelatin membrane; this resulted in predictions of bone bonding bioactivity of the substrates. The β-TCP membranes exhibit good biocompatibility, have an effect on PDLC growth comparable to that of pure CNF membrane, and can be applied as scaffolds for bone tissue regeneration.
Prediction Model of Sports Performance Based on Grey BP Neural Network
Deng Kui,Xiao Liu,Xu Liang,Song Haiyan 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.8
The best annual performances of the world women’s pentathlons during 2005~2013 are statistically collected in this article, and the prediction of the best performance of the world women’s heptathlon in 2013 is taken as the research object. According to the best annual performances of the world women’s heptathlons during 2005~2012, the sports performance prediction model composed of GM(1,1) grey prediction model and BP neural network prediction model in serial connection is established in this article, and this model is applied to predict the best annual performance of the world women’s heptathlon in 2013. Through the comparison of the actual value of the best annual performance of the world women’s heptathlon in 2013 and the predicted value of the model, the application of the grey BP neural network prediction model in sports performance prediction is researched and analyzed in this article. The research result shows that for the sports performance prediction problem, the grey BP neural network prediction model has the features of high prediction accuracy, simple application and strong generalization performance, and this model is also superior to single GM(1,1) grey prediction model and BP neural network model.
Liu, Ying,Zhou, Long-Shu,Xu, Xiao-Ming,Deng, Liang-Qing,Xiao, Qian-Kun Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.9
Aim: We aimed to investigate the associations of dietary intake of folate, vitamin $B_6$ and $B_{12}$ and MTHFR genotype with breast cancer in a Chinese population. Methods: A matched case-control study was conducted, and 435 patients with newly diagnosed and histologically confirmed breast cancer and 435 controls were collected. The folate intake, vitamin $B_6$ and vitamin $B_{12}$ were calculated, and MTHFR C665T, C677T and A1298C were analyzed by PCR-RFLP. Results: We found vitamin $B_{12}$ was likely to reduce the risk of breast cancer, and MTHFR 665TT was associated with increased risk of breast cancer. Folate intake, vitamin $B_{12}$ intake and variants of MTHFR C677T and MTHFR A1298C demonstrated no association with risk of breast cancer. However, we found patients with low intake of vitamin $B_6$ and MTHFR 665TT genotype had a higher risk of breast cancer (OR=1.87, 95% CI=1.29-2.77), the association being less pronounced among subjects with a moderate intake of vitamin $B_6$ and MTHFR 665TT genotype (OR=1.58, 95% CI=1.03-2.49, P=0.03). Conclusion: Our study indicated that the MTHFR C665T polymorphism and vitamin $B_6$ are associated with risk of breast cancer, which indicated roles for nutrients in developing breast cancer.
Qianwen Huang,Daizhi Yang,Hongrong Deng,Hua Liang,Xueying Zheng,Jinhua Yan,Wen Xu,Xiangwen Liu,Bin Yao,Sihui Luo,Jianping Weng 대한당뇨병학회 2022 Diabetes and Metabolism Journal Vol.46 No.1
Background: Both type 1 diabetes mellitus (T1DM) and metabolic syndrome (MetS) are associated with an elevated risk of morbidity and mortality yet with increasing heterogeneity. This study primarily aimed to evaluate the prevalence of MetS among adult patients with T1DM in China and investigate its associated risk factors, and relationship with microvascular complications.Methods: We included adult patients who had been enrolled in the Guangdong T1DM Translational Medicine Study conducted from June 2010 to June 2015. MetS was defined according to the updated National Cholesterol Education Program criterion. Logistic regression models were used to estimate the odds ratio (OR) for the association between MetS and the risk of diabetic kidney disease (DKD) and diabetic retinopathy (DR).Results: Among the 569 eligible patients enrolled, the prevalence of MetS was 15.1%. While female gender, longer diabetes duration, higher body mass index, and glycosylated hemoglobin A1c (HbA1c) were risk factors associated with MetS (OR, 2.86, 1.04, 1.14, and 1.23, respectively), received nutrition therapy education was a protective factor (OR, 0.46). After adjustment for gender, age, diabetes duration, HbA1c, socioeconomic and lifestyle variables, MetS status was associated with an increased risk of DKD and DR (OR, 2.14 and 3.72, respectively; both P<0.05).Conclusion: Although the prevalence of MetS in adult patients with T1DM in China was relatively low, patients with MetS were more likely to have DKD and DR. A comprehensive management including lifestyle modification might reduce their risk of microvascular complications in adults with T1DM.
Dan Xiao,Xiaoyan Peng,Xiaopeng Liang,Ying Deng,Guofu Xu,Zhimin Yin 대한금속·재료학회 2017 METALS AND MATERIALS International Vol.23 No.3
Hot compression tests of as-homogenized Al-Zn-Mg-Cu alloy were performed at the deformation temperaturerange of 350-450 °C and the strain rate range of 0.001-1 s-1. The Arrhenius-type constitutive equation and theAvrami-type model were established to predict the flow behaviors of the alloy respectively. The processing map atthe true strain of 0.92 was developed to evaluate the workability of the alloy and the related microstructures wereinvestigated. The results show that the Avrami-type model has a higher accuracy to predict flow stress than theArrhenius-type constitutive equation. The stable deformation occurs under high temperature or low strain ratemainly owing to the dynamic recrystallization. Flow instability is prone to occur under the condition of low temperatureand high strain rate due to the initiation and the propagation of micro-cracks. According to the processingmap and corresponding microstructure characteristics, the optimum processing parameters are in the temperaturerange of 380-405 °C and the strain rate range of 0.006-0.035 s-1.