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LPL gene Pvu II polymorphism and hypertriglycer-idemia: a meta-analysis involving 1,640 subjects
( Yan-yan Li ),( Yan-hong Zhou ),( Ge Gong ),( Hong-yu Geng ),( Xin-xing Yang ),( Xiang-ming Wang ),( Chuan-wei Zhou ),( Jian Xu ),( Yun Qian ) 대한내과학회 2017 The Korean Journal of Internal Medicine Vol.32 No.6
Background/Aims: Although lipoprotein lipase (LPL) gene Pvu II polymorphism has been associated with an increased risk of hypertriglyceridemia (HT), there is no clear consensus within the scientific community. Methods: A meta-analysis of 1,640 subjects from six individual studies was conducted to better elucidate the potential relationship between the LPL gene Pvu II polymorphism and HT within the Chinese population. Pooled odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were evaluated by using fixed effect models. Results: Our analysis indicated a significant association between LPL gene Pvu II polymorphism and HT within the Chinese population under allelic (OR, 1.550; 95% CI, 1.320 to 1.830; p = 1.158 × 10<sup>-7</sup>), recessive (OR, 0.540; 95% CI, 0.390 to 0.750; p = 0.0002), dominant (OR, 1.889; 95% CI, 1.501 to 2.377; p = 5.960 × 10<sup>-8</sup>), homozygous (OR, 2.167; 95% CI, 1.531 to 3.067; p = 1.242 × 10<sup>-5</sup>), heterozygous (OR, 1.810; 95% CI, 1.419 to 2.309; p = 1.842 × 10<sup>-6</sup>), and additive genetic models (OR, 1.553; 95% CI, 1.320 to 1.828; p = 1.158 × 10<sup>-7</sup>). Conclusions: Because LPL gene Pvu II restriction fragment length polymorphism polymorphism was associated with an elevated risk of HT, the P+ allele carriers of the LPL gene might be predisposed to HT.
( Yan-yan Li ),( Ge Gong ),( Hong-yu Geng ),( Yun Qian ) 대한내과학회 2017 The Korean Journal of Internal Medicine Vol.32 No.6
Background/Aims: The p22phox C242T gene polymorphism (rs4673) may be linked to an increased susceptibility for overt diabetic nephropathy (ODN), but the study results are still inconclusive. Methods: To explore the relationship between p22phox C242T gene polymorphism and ODN, the current meta-analysis of 707 ODN patients and 745 controls from five individual studies was conducted. The pooled odds ratio (OR) and its corresponding 95% confidence interval (CI) were evaluated by either a random or fixed effect model. Results: In our meta-analysis, a significant relationship between the p22phox C242T gene polymorphism and ODN was found under allelic (OR, 2.760; 95% CI, 1.400 to 5.450; p = 0.004), recessive (OR, 5.080; 95% CI, 1.020 to 25.430; p = 0.05), dominant (OR, 1.700; 95% CI, 1.167 to 2.477; p = 0.006), homozygous (OR, 3.900; 95% CI, 1.022 to 14.889; p = 0.046), heterozygous (OR, 1.523; 95% CI, 1.167 to 1.986; p = 0.002), and additive genetic models (OR, 2.019; 95% CI, 1.232 to 3.309; p = 0.005). Conclusions: A positive correlation between p22phox C242T gene polymorphism and ODN risk was found. The T allele carriers of p22phox C242T gene polymorphism might be predisposed to ODN.
Simulation Studies on the Structural Stability and Properties of Beta Uranium
Yan-Rong Gong,Tao Gao,Guang-Ai Sun,Ben-Qiong Liu,Bo Chen 한국물리학회 2015 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.66 No.2
The structural stability of beta uranium (-U) is investigated by using the projector augmentedwave (PAW) method based on the density function theory (DFT). Optimized lattice parameters arein agreement with other available data. Especially, the energy per atom and the phonon propertiesmanifest that the model described by using space group No. 102 can be stabilized vibrationallyand energetically. A reasonable agreement with the experimental data for the phonon entropycorresponding to the proper structure has been successfully achieved. Moreover, the thermodynamicfunctions are predicated at elevated temperatures.
A New Method under Hesitant Fuzzy Context about Green Supplier Selection
Gong Yan 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.5
In recent years, to protect the environment by the people all over the world has become a significant point. Green environment and sustainable development are always topic in human life. How to select an optimal green supplier is an important aspect of it. Combing with preference of the decision maker, an optimal green supplier may be obtained. Owing to the difficulty of acquiring the decision maker’s preferences accurately, hesitant fuzzy set is introduced to help us construct decision making matrix. Combining attribute weight and position weight, we propose a new operator and score function to evaluate the performance of several suppliers, which is a critical step of the selection of green supplier. Finally, a case study is demonstrated to verify the reliability and applicability of the proposed method.
Short-Term Forecasting for Harbor Waterway Currents Speeds
Cheng Gong,Yan Lv,Chunjiang Zhang,Xiyuan Wang,Wei Huangfu,Zhongshan Zhang 보안공학연구지원센터 2014 International Journal of Multimedia and Ubiquitous Vol.9 No.12
The ocean currents speeds in the harbor waterway are directly related to the ability of the ship to in or out the harbor. Accurately predict the speeds can assist the ship to choose the right time for sailing. To solve this problem, we chose two models of linear and non-linear prediction. We had set sensors in Qinhuangdao for a long time, then using the collected data for training. Our test is using a lot of random data to train and predict with different steps and orders. The results show that both methods can use less original data to train the model, and finally achieve preferably prediction. According to the characteristics of Qinhuangdao harbor, Auto-Regressive (AR) model is more appropriate than Support Vector Regression (SVR) model.