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Search Results: 1 - 10 of 153659 matches for " WANG Chun-feng "
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Unlocking the Opening Processes of the South China Sea
Jian Lin,Chun-Feng Li,Pinxian Wang,Dieter Franke
Scientific Drilling , 2012, DOI: 10.2204/iodp.sd.14.07.2012
Abstract:
Dual protective role of HO-1 in transplanted liver grafts: A review of experimental and clinical studies
Chun-Feng Wang,Zhen-Yu Wang,Ji-Yu Li
World Journal of Gastroenterology , 2011, DOI: 10.3748/wjg.v17.i26.3101
Abstract: Liver transplantation is considered as the most effective treatment for end-stage liver disease. However, serious complications still exist, particularly in two aspects: ischemia and subsequent reperfusion of the liver, causing postoperative hepatic dysfunction and even failure; and acute and chronic graft rejections, affecting the allograft survival. Heme oxygenase (HO), a stress-response protein, is believed to exert a protective function on both the development of ischemia-reperfusion injury (IRI) and graft rejection. In this review of current researches on allograft protection, we focused on the HO-1. We conjecture that HO-1 may link these two main factors affecting the prognosis of liver transplantations. In this review, the following aspects were emphasized: the basic biological functions of HO-1, its roles in IRI and allograft rejection, as well as methods to induce HO-1 and the prospects of a therapeutic application of HO-1 in liver transplantation.
A Branch-and-Reduce Approach for Solving Generalized Linear Multiplicative Programming
Chun-Feng Wang,San-Yang Liu,Geng-Zhong Zheng
Mathematical Problems in Engineering , 2011, DOI: 10.1155/2011/409491
Abstract: We consider a branch-and-reduce approach for solving generalized linear multiplicative programming. First, a new lower approximate linearization method is proposed; then, by using this linearization method, the initial nonconvex problem is reduced to a sequence of linear programming problems. Some techniques at improving the overall performance of this algorithm are presented. The proposed algorithm is proved to be convergent, and some experiments are provided to show the feasibility and efficiency of this algorithm.
A New Global Optimization Algorithm for Solving Generalized Geometric Programming
San-Yang Liu,Chun-Feng Wang,Li-Xia Liu
Mathematical Problems in Engineering , 2010, DOI: 10.1155/2010/346965
Abstract: A global optimization algorithm for solving generalized geometric programming (GGP) problem is developed based on a new linearization technique. Furthermore, in order to improve the convergence speed of this algorithm, a new pruning technique is proposed, which can be used to cut away a large part of the current investigated region in which the global optimal solution does not exist. Convergence of this algorithm is proved, and some experiments are reported to show the feasibility of the proposed algorithm. 1. Introduction This paper considers generalized geometric programming GGP problem in the following form: where . Generally speaking, GGP problem is a non convex programming problem, which has a wide variety of applications, such as in engineering design, economics and statistics, manufacturing, and distribution contexts in risk management problems [1–4]. During the past years, many local optimization approaches for solving GGP problem have been presented [5, 6], but global optimization algorithms based on the characteristics of GGP problem are scarce. Maranas and Floudas [7] proposed a global optimization algorithm for solving GGP problem based on convex relaxation. Shen and Zhang [8] presented a method to globally solve GGP problem by using linear relaxation. Recently, several branch and bound algorithms have been developed [9, 10]. The purpose of this paper is to introduce a new global optimization algorithm for solving GGP problem. In this algorithm, by utilizing the special structure of GGP problem, a new linear relaxation technique is presented. Based on this technique, the initial GGP problem is systematically converted into a series of linear programming problems. The solutions of these converted problems can approximate the global optimal solution of GGP problem by successive refinement process. The main features of this algorithm are: (1) a new linearization technique for solving GGP problem is proposed, which applies more information of the functions of GGP problem, (2) the generated relaxation linear programming problems are embedded within a branch and bound algorithm without increasing the number of variables and constraints, (3) a new pruning technique is presented, which can be used to improve the convergence speed of the proposed algorithm, and (4) numerical experiments are given, which show that the proposed algorithm can treat all of the test problems in finding global optimal solution within a prespecified tolerance. The structure of this paper is as follows. In Section 2, first, we construct the lower approximate linear functions
Expressions of ECE-CYC2 clade genes relating to abortion of both dorsal and ventral stamens in Opithandra (Gesneriaceae)
Chun-Feng Song, Qi-Bing Lin, Rong-Hua Liang, Yin-Zheng Wang
BMC Evolutionary Biology , 2009, DOI: 10.1186/1471-2148-9-244
Abstract: We investigated the expression patterns of four ECE-CYC2 clade genes and two putative target cyclinD3 genes in Opithandra using RNA in situ hybridization and RT-PCR. OpdCYC gene expressions were correlated with abortion of both dorsal and ventral stamens in Opithandra, strengthened by the negatively correlated expression of their putative target OpdcyclinD3 genes. The complement of OpdcyclinD3 to OpdCYC expressions further indicated that OpdCYC expressions were related to the dorsal and ventral stamen abortion through negative effects on OpdcyclinD3 genes.These results suggest that ECE-CYC2 clade TCP genes are not only functionally conserved in the dorsal stamen repression, but also involved in arresting ventral stamens, a genetic mechanism underlying the establishment of zygomorphy with abortion of both the dorsal and ventral stamens evolved in angiosperms, especially within Lamiales s.l.One important event during the evolution of angiosperms is the emergence of flower bilateral symmetry, i.e. zygomorphy, a key innovation associated with important adaptive radiations [1]. Several zygomorphic clades have independently evolved successfully from actinomorphic ancestors in angiosperms, including Lamiales sensu lato that includes a major genetic model organism snapdragon (Antirrhinum majus) [2,3].In A.majus, CYCLOIDEA (CYC) and DICHOTOMA (DICH) are essential for the development of dorsoventral asymmetry in flowers due to their dorsal identity function, i.e. controlling the fate of the dorsal floral organs in the second and third whorls [4,5]. CYC promotes cell expansion in the dorsal petals, while it arrests the growth of the dorsal stamen to become a staminode [4,5]. Meanwhile, DICH activity affects the internal asymmetry of the dorsal petals [4,5]. The ability of CYC to arrest the dorsal stamen depends on its negative effect on expression of cell-cycle genes, such as cyclin D3b [3,6]. CYC and DICH encode proteins within the ECE-CYC2 clade (ECE lineage, CYC/TB1 subfami
1-(2-Bromo-2-deoxy-β-d-xylofuranosyl)uracil
Zhong-Gao Zhou,Shun-Guo Fu,Wu-Leng Lai,Chun-Feng Wang
Acta Crystallographica Section E , 2011, DOI: 10.1107/s1600536810051081
Abstract: In the title compound, C9H11BrN2O5, the ribofuranose ring has a C2-exo, C3-endo twist configuration and is attached to the uracil unit via a β-N1-glycosidic bond. The crystal structure is stabilized by two intermolecular O—H...O interactions and one intermolecular N—H...O interaction.
Change of Floral Orientation within an Inflorescence Affects Pollinator Behavior and Pollination Efficiency in a Bee-Pollinated Plant, Corydalis sheareri
Hui Wang, Shuang Tie, Dan Yu, You-Hao Guo, Chun-Feng Yang
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0095381
Abstract: Vertical raceme or spike inflorescences that are bee-pollinated tend to present their flowers horizontally. Horizontal presentation of flowers is hypothesized to enhance pollinator recognition and pollination precision, and it may also ensure greater consistency of pollinator movement on inflorescences. We tested the hypotheses using bee-pollinated Corydalis sheareri which has erect inflorescences consisting of flowers with horizontal orientation. We altered the orientation of individual flowers and prepared three types of inflorescences: (i) unmanipulated inflorescences with horizontal-facing flowers, (ii) inflorescences with flowers turned upward, and (iii) inflorescences with flowers turned downward. We compared number of inflorescences approached and visited, number of successive probes within an inflorescence, the direction percentage of vertical movement on inflorescences, efficiency of pollen removal and seed production per inflorescence. Deviation from horizontal orientation decreased both approaches and visits by leafcutter bees and bumble bees to inflorescences. Changes in floral orientation increased the proportion of downward movements by leafcutter bees and decreased the consistency of pollinator movement on inflorescences. In addition, pollen removal per visit and seed production per inflorescence also declined with changes of floral orientation. In conclusion, floral orientation seems more or less optimal as regards bee behavior and pollen transfer for Corydalis sheareri. A horizontal orientation may be under selection of pollinators and co-adapt with other aspects of the inflorescence and floral traits.
最大交互数对非齐次T-S模糊系统的潜在影响
Potential influence of maximum interactive number on non-homogeneous T-S fuzzy system

索春凤, 王贵君
SUO Chun-feng
, WANG Gui-jun

- , 2015, DOI: 10.6040/j.issn.1671-9352.0.2014.540
Abstract: 摘要: 最大交互数是描述模糊系统前件模糊集的疏密程度,它在各类模糊系统逼近性的实现问题中具有重要意义.首先引入分片线性函数(PLF)和最小推理机重新建立非齐次T-S模糊系统.其次,基于几何直观阐述了最大交互数对该系统的影响,并通过改变最大交互数和随机选取样本点对该系统实际输出实施近似计算.结果表明,剖分数一定时最大交互数对非齐次T-S模糊系统内部结构和取值都具有潜在影响.
Abstract: Maximum interactive number is to describe the degree of density of the antecedent fuzzy sets. It is very important to the approximation problem of all kinds of fuzzy systems. Firstly, the non-homogeneous T-S fuzzy system is established by introducing piecewise linear function (PLF) and minimum inference engine again. Secondly, the effects of the maximum interactive number to this fuzzy system are explained based on the geometric intuitiveness, and the actual output value of the system can be calculated by changing maximum interactive number and randomly selecting sample points. The results show that the internal structure and values of the non-homogeneous T-S fuzzy system have potential influence to the maximum interactive number when the subdivision number is not changed
Application of voice signal collection and analysis in traditional Chinese medicine syndrome differentiation of deficiency and excess
Chun-feng Chen
Zhong Xi Yi Jie He Xue Bao , 2010,
Abstract: Objective: To provide more objective basis for traditional Chinese medicine (TCM) syndrome differentiation of deficiency and excess by collecting and analyzing voice signals and extracting characteristic parameters.Methods: All of 308 samples including 150 samples of qi-deficiency, 52 yin-deficiency, 55 excess and 51 normal were collected by “Voice Collecting System of TCM” and analyzed by wavelet packet transform (WPT) combined with approximate entropy (ApEn). The characteristic parameters with remarkable differences were chosen as input vectors for support vector machine (SVM) classifier to obtain classification results.Results: Comparison between the normal and non-healthy showed that ApEn values of several nodes in 2 to 3 kHz, 3.5 to 4 kHz and 5 to 8 kHz frequencies were significantly different (P≤0.05); comparison between the deficiency and excess showed that ApEn values of several nodes in 0 to 2.5 kHz and 6 to 6.5 kHz frequencies were significantly different (P≤0.05); comparison between the qi-deficiency and yin-deficiency showed that ApEn values of node in 2 to 4 kHz frequency were significantly different(P≤0.05). The outputs of SVM showed that accuracies of samples in each group had good classification results by analyzing the ApEn values in different frequencies through WPT.Conclusion: The methods of voice collection and analysis used in the auscultation of TCM can provide objective basis for syndrome differentiation of deficiency and excess.
Glycine receptor in rat hippocampal and spinal cord neurons as a molecular target for rapid actions of 17-β-estradiol
Peng Jiang, Yan Kong, Xiao-Bing Zhang, Wei Wang, Chun-Feng Liu, Tian-Le Xu
Molecular Pain , 2009, DOI: 10.1186/1744-8069-5-2
Abstract: Studies over the last several decades have demonstrated that estrogen plays an important role in not only reproduction, but also regulation of early CNS development [1] and in synaptic plasticity of the mature hippocampus [2]. The classical estrogen actions in the CNS are primarily mediated by activating nuclear estrogen receptor α and β (ERα/β), causing long-term genomic effects [3,4]. Nevertheless, it is becoming increasingly clear that estrogen can activate cytoplasmic signaling events at or near the plasma membrane [5,6], presumably through either membrane-localized classical ERs [7,8] or novel ERs [9-11]. Moreover, estradiol is reported to directly bind to and modulate certain ion channels, like the Maxi-K channels [12], indicating the existence of additional estrogen targets besides ERs. In the hippocampus, both in vivo [13] and in vitro [14-16] studies have focused on the inhibitory GABAergic machineries, and suggested that estradiol alters neuronal activity by suppressing GABAergic synaptic transmission. A recent study also indicated that estradiol inhibits human recombinant rho1 GABAC receptor [17].Like GABAA receptors (GABAARs), the major receptor mediating central inhibition, GlyRs contribute to neuronal inhibition in hippocampus [18-20] and spinal cord [21,22]. GlyRs are pentamers and composed of α(1–4) and β subunits [21]. In hippocampal (HIP) neurons, GlyRs are thought to be primarily the homopentamer of α2 subunits that function extrasynaptically to produce tonic inhibition [21]. Tonic activation of GlyRs leads to cross-inhibition of GABAARs [23], and influences synaptic activity [18,24,25] and short-term plasticity [19]. In adult spinal dorsal horn (SDH), GlyRs are important in regulating nociception and motor function. For example, α3-containing GlyRs regulate inflammatory pain sensitization [26]. Interestingly, during the development of the spinal cord, there is a switch of GlyR subunit composition from α2 in the fetus to α1 predominance in the adu
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