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Articles by Wen Li
Total Records ( 6 ) for Wen Li
  Chaowu Yang , Huarui Du , Xiaocheng Li , Qingyun Li , Zengrong Zhang , Wen Li and Xiaosong Jiang
  The goal of this study was to evalaute the meat quality of broiler chicken by defining Meat Quality Index (MQI). Meat quality is a complex trait which is consist of several meat quality indicators and affected by a series of factors. So, evaluation for the meat quality of broiler is indeed a difficult project. In this study, the coupling model of Principal Component Analysis and Linear programming techniques for Multidimensional Analysis of Preferences (PCA-LINMAP) was constructed to evaluate meat quality performance of broiler chicken and 250 chickens both cocks and hens from 5 populations (S01, S02, S03, S05, D99 developed by Dahen Poultry Breeding Company and Sichuan Animal Science Academy) were used as an application case, the eight main meat quality indicators of breast muscle and leg muscle were collected. About 4 representative indicators were selected by cluster analysis, they are crude fat, ultimate pH, muscle fibre number and drip loss. And then the meat quality index was constructed by PCA-LINMAP coupling model, the results show that the meat quality of S01 is the best, S03 came next, D99 came last and meat quality of female is superior to the cock in each line. Finally, the value range of MQI was identified based on its property. The PCA-LINMAP model made the evaluation for meat quality easily and the all main meat quality indicators were gathered to one integrated trait which could be contained in the breeding plan with other traits such as production and reproduction traits of broiler.
  Wen Li , Weili Wang and Ling Chai
  As one of the important techniques in large-scale data organizing, text categorization has been widely investigated. But the existing hierarchical classification methods often suffer from inter-level error transmission, namely blocking. In this paper, blocking distribution based topology reconstruction method was proposed for hierarchical text categorization problem. Firstly, blocking distribution recognition technique is put forward to mining out the serious high-level misclassification class. Subsequently, original hierarchical structure are reconstructed using blocking direction information obtained ahead, which increasing the path for the blocking instance to the correct subclass. Experimental studies on Chinese text classification benchmark Tan Corp, demonstrate that the proposed algorithm performs better than the traditional hierarchical and state-of-the-art flat classification strategies.
  Wen Li and Haoda Fu
  Bayesian adaptive design has been broadly recognized as a method of improving the efficiency of determining dose-response relationships in clinical trials, thus leading to reliable dose selection for phase III clinical trials. However, in some disease areas such as diabetes and obesity, patients may need to be studied for several weeks or months for a drug effect to emerge. These delayed-response studies provide challenges for using traditional adaptive design methods. Many current methods for analyzing the data at the time of the interim analysis only use the last observation from patients who have completed the study. Data for those patients who have not completed the study are often ignored or imputed via last observation carried forward (LOCF) or other imputation method. Therefore, data collected at intermediate timepoints are not fully used for decision making. These approaches are useful for studies where the final responses can be quickly observed. However, in delayed-response studies, where longitudinal data are normally collected for each patient, using all available information instead of just endpoint values is critical to improving efficiency. Fu and Manner (2010) proposed an integrated two-component prediction (ITP) model for delayed-response adaptive design. In this paper, we extend their ITP model to incorporate a dose-response model in it and propose an ITP Emax model. Furthermore, we derive a method to find the minimum effective dose (MED) for our newly proposed model by using an optimal design theorem. By using the proposed method, a better understanding of the dose-response relationship and the MED was achieved more efficiently. Potential sample size reduction is also discussed in this paper.
  Wenli Lu , Kun Song , Yuan Wang , Qing Zhang , Wen Li , Huanli Jiao , Guolin Wang and Guowei Huang
 

Objective

To investigate the nature of the relationships between uric acid and metabolic syndrome (MetS) components.

Methods

Body mass index, waist circumference, serum uric acid, fasting glucose, lipid profiles, and blood pressure were measured in 13,811 subjects aged between 18 and 85 years of age. Two structural equation models (SEMs) were used to test a hypothesis regarding the linking roles of uric acid in the occurrence of MetS components in male and female separately.

Results

The findings of the SEM demonstrated that increased uric acid level was associated with fasting glucose (beta = 0.221, P < .001), blood pressure (beta = 0.158, P < .001), and lipid profiles (beta = 0.391, P < .001) in women. Increased uric acid level was associated with decreased fasting glucose (beta = −0.071, P < .001) and increased lipid profiles (beta = 0.352, P < .001) in men. The association was stronger between uric acid and lipid profiles than those between uric acid and other MetS components.

Conclusion

By using SEM, we were able to confirm the intimate relationships between uric acid and MetS components, particularly in women. The associations between uric acid and MetS components were gender specific, and the nature of such association requires further exploration.

  Bo Xiao , Wen Li , Hongwei Hou and Yaoting Fan
  By combination of Mn(II) and Hg(II) salts with a flexible building unit 1,1’-(1, 5-pentanediyl)bis-1H-benzimidazole (pbbm), two 1-D chain metal-organic polymers [Mn(SCN)2(pbbm)2]n (1) and [{HgCl2(pbbm)] · DMF}n (2) have been prepared. The polymeric 1-D chains in 1 consist of parallel ribbons of rings, whereas 2 possesses a 1-D zig-zag chain framework based on tetrahedral mercury atoms bridged by pbbm molecules and terminally coordinated by two chlorides. The significant differences of these metal-organic frameworks indicate that the flexible pbbm ligand adjusts its conformation to meet the requirement of the coordination preference of the metal center. The photoluminescent properties of these new materials have been studied in the solid state at room temperature.
  Dajiang Qin , Yi Gan , Kaifeng Shao , Hao Wang , Wen Li , Tao Wang , Wenzhi He , Jianyong Xu , Yu Zhang , Zhaohui Kou , Lingwen Zeng , Guoqing Sheng , Miguel A. Esteban , Shaorong Gao and Duanqing Pei
  Induced pluripotent stem cell technology, also termed iPS, is an emerging approach to reprogram cells into an embryonic stem cell-like state by viral transduction with defined combinations of factors. iPS cells share most characteristics of embryonic stem cells, counting pluripotency and self-renewal, and have so far been obtained from mouse and humans, including patients with genetic diseases. Remarkably, autologous transplantation of cell lineages derived from iPS cells will eliminate the possibility of immunological rejection, as well as current ethical issues surrounding human embryonic stem cell research. However, before iPS can be used for clinical purposes, technical problems must be overcome. Among other considerations, full and homogeneous iPS reprogramming is an important prerequisite. However, despite the fact that cells from several mouse tissues can be successfully induced to iPS, the overall efficiency of chimera formation of these clones remains low even if selection for Oct4 or Nanog expression is applied. In this report, we demonstrate that cells from the mouse meningeal membranes express elevated levels of the embryonic master regulator Sox2 and are highly amenable to iPS. Meningeal iPS clones, generated without selection, are fully and homogeneously reprogrammed based on DNA methylation analysis and 100% chimera competent. Our results define a population of somatic cells that are ready to undergo iPS, thus highlighting a very attractive cell type for iPS research and application.
 
 
 
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