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Articles by Xiaoxia Wang
Total Records ( 5 ) for Xiaoxia Wang
  Decai Sun , Xingming Sun , Xiaoxia Wang and Zhiqiang Ruan
  Sequence alignment was one of the most popular operations in bioinformatics. The key issue of alignment was how to improve matching speed in a large sequences database. In this study, a full-sensitivity algorithm was proposed to solve the problem of finding all local alignments over a given length w with an error rate at most e. The proposed algorithm was implemented on a q-gram index. First, a large part of irrelevant subsequences were eliminated quickly by effective filtrating with new diagonal features. These new diagonal features were extracted from match-regions by analyzing the edit matrix of query sequence and database. Second, the unfiltered regions were verified by smith-waterman algorithm to search the true matches. The experimental results demonstrate that the proposed algorithm improves the filtration efficiency in a short filtration time and the algorithm is always faster than the well-known SWIFT on condition of low max error rate. This result is of great practical to local alignment with low error rate and short window size.
  Xiaoxia Wang , Fengbao Yang , Hong Wei , Linna Ji and Dongmei Shi
  Multi-sensor monitoring is an important means to improve the accuracy of information. But the fuzziness of monitoring information reduces the accuracy of fused information and affects the uncertainty of decision-making result. It is a difficult problem that is still not well solved in the field of information fusion. In view of this problem, this study proposes a multi-source uncertainty information fusion method based on anisotropic bivariate shrinkage, in which the complex parameter are regarded as multiple information. Supposing the fuzziness coefficients of information are generalized fuzzy numbers which follows the zero-mean Gaussian distribution, the multi-source information is fused by weighted fusion through processing the fuzziness of information with anisotropy bivariate shrinkage. Comparing with the other weighted fusion methods, the method in this study is more precise and more reasonable for the fusion result, which increases the maximum posteriori estimation in the determination process of weighting coefficients. The fused information still has the same properties as other parameters of system, so it can provide the guarantee for establishment of mapping relations. Taking some monitoring indexes of tailing dam-phreatic line as an engineering example, it shows that the proposed method not only reduces the uncertainty of fusion result of phreatic line, but also makes the fused information having the same properties with other monitoring indexes. It lays the foundation for the establishment of possibility set-valued mapping between the raised method and the decision-making level.
  Xiaoxia Wang and Yue Shang
  In big cities with the serious traffic congestion problem and environmental challenges, strict regulations are enforced on trucks in operation. Therefore an Urban Freight Service Capacity Dynamic Coordination System (UFSC-DCS) as a Decision Support System (DSS) was proposed. It integrated a simulation model with optimization objectives and balanced the interests of various participants. This UFSC-DCS provides regulators with candidate solutions under different spatial-temporal traffic resources constraints.
  Xiaoxia Wang , Zhong Liu and Yue Shang
  Time windows and vehicle restrictions are widespread urban freight trucks regulations around the world which result in substantial social and economic losses many times. A two-tiered decentralized simulation model was developed to regulate freight trucks to access the urban area. This model met the different freight demands of municipal sub-areas based on their own evolving traffic capacity and introduced a level of readiness to direct freight trucks access priority. Furthermore, its sustainable system goals included travel cost within an urban area and satisfaction of user’s expectations. Beijing was taken as a case study to illustrate how to calibrate the demand and capacity of sub-areas. And its simulation results showed temporal regulation plans for each user which was very instructive for the authorities to efficiently and dynamically regulate freight trucks into the congested urban area.
  Xiaoxia Wang , Koichi Fukuda , In-Ja Byeon , Algirdas Velyvis , Chuanyue Wu , Angela Gronenborn and Jun Qin
  α-Parvin is an essential component of focal adhesions (FAs), which are large multiprotein complexes that link the plasma membrane and actin cytoskeleton. α-Parvin contains two calponin homology (CH) domains and its C-terminal CH2 domain binds multiple targets including paxillin LD motifs for regulating the FA network and signaling. Here we describe the solution structure of α-parvin CH2 bound to paxillin LD1. We show that although CH2 contains the canonical CH-fold, a previously defined N-terminal linker forms an α-helix that packs unexpectedly with the C-terminal helix of CH2, resulting in a novel variant of the CH domain. Importantly, such packing generates a hydrophobic surface that recognizes the Leu-rich face of paxillin-LD1, and the binding pattern differs drastically from the classical paxillin-LD binding to four-helix bundle proteins such as focal adhesion kinase. These results define a novel modular recognition mode and reveal how α-parvin associates with paxillin to mediate the FA assembly and signaling.
 
 
 
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