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Search Results: 1 - 10 of 16178 matches for " Su Jinyan "
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Integration of Multiple Data Sources to Simulate the Dynamics of Land Systems
Xiangzheng Deng,Hongbo Su,Jinyan Zhan
Sensors , 2008, DOI: 10.3390/s8020620
Abstract: In this paper we present and develop a new model, which we have calledDynamics of Land Systems (DLS). The DLS model is capable of integrating multiple datasources to simulate the dynamics of a land system. Three main modules are incorporatedin DLS: a spatial regression module, to explore the relationship between land uses andinfluencing factors, a scenario analysis module of the land uses of a region during thesimulation period and a spatial disaggregation module, to allocate land use changes froma regional level to disaggregated grid cells. A case study on Taips County in North Chinais incorporated in this paper to test the functionality of DLS. The simulation results underthe baseline, economic priority and environmental scenarios help to understand the landsystem dynamics and project near future land-use trajectories of a region, in order tofocus management decisions on land uses and land use planning.
Study on Spatial Dependence of Academic Information on Internet
网络学术信息空间依赖性研究

Su Jinyan,
苏金燕

现代图书情报技术 , 2011,
Abstract: It is true that the spatial distribution of academic information on Internet can be influenced by spatial proximity. That is,spatial dependence is really exist when Internet is discussed. The closer of two spaces are the stronger of spatial dependence. And spatial dependence is stronger in China than in America.
Integration of Multiple Data Sources to Simulate the Dynamics of Land Systems
Xiangzheng Deng,Hongbo Su,Jinyan Zhan
Sensors , 2008,
Abstract: In this paper we present and develop a new model, which we have calledDynamics of Land Systems (DLS). The DLS model is capable of integrating multiple datasources to simulate the dynamics of a land system. Three main modules are incorporatedin DLS: a spatial regression module, to explore the relationship between land uses andinfluencing factors, a scenario analysis module of the land uses of a region during thesimulation period and a spatial disaggregation module, to allocate land use changes froma regional level to disaggregated grid cells. A case study on Taips County in North Chinais incorporated in this paper to test the functionality of DLS. The simulation results underthe baseline, economic priority and environmental scenarios help to understand the landsystem dynamics and project near future land-use trajectories of a region, in order tofocus management decisions on land uses and land use planning.
Random Attractors for the Dissipative Hamiltonian Amplitude Equation Governing Modulated Wave Instabilities with Additive Noise  [PDF]
Jinyan Yin, Yangrong Li, Huijun Zhao
Journal of Applied Mathematics and Physics (JAMP) , 2013, DOI: 10.4236/jamp.2013.13007
Abstract:

In this paper, we study the random dynamical system (RDS) generated by the dissipative Hamiltonian amplitude equation with additive noise defined on the periodic boundaries. We investigate the existence of a compact random attractor for the RDS associated with the equation through introducing two functions and one process in E0=H1×L2. The compactness of the RDS is established by the decomposition of solution semigroup.

Protein binding hot spots and the residue-residue pairing preference: a water exclusion perspective
Qian Liu, Jinyan Li
BMC Bioinformatics , 2010, DOI: 10.1186/1471-2105-11-244
Abstract: The requirements for a cluster of residues to form a hot spot under the DWE hypothesis can be mathematically satisfied by a biclique subgraph if a vertex is used to represent a residue, an edge to indicate a close distance between two residues, and a bipartite graph to represent a pair of interacting proteins. We term these hot spots as DWE bicliques. We identified DWE bicliques from crystal packing contacts, obligate and non-obligate interactions. Our comparative study revealed that there are abundant unique bicliques to the biological interactions, indicating specific biological binding behaviors in contrast to crystal packing. The two sub-types of biological interactions also have their own signature bicliques. In our analysis on residue compositions and residue pairing preferences in DWE bicliques, the focus was on interaction-preferred residues (ipRs) and interaction-preferred residue pairs (ipRPs). It is observed that hydrophobic residues are heavily involved in the ipRs and ipRPs of the obligate interactions; and that aromatic residues are in favor in the ipRs and ipRPs of the biological interactions, especially in those of the non-obligate interactions. In contrast, the ipRs and ipRPs in crystal packing are dominated by hydrophilic residues, and most of the anti-ipRs of crystal packing are the ipRs of the obligate or non-obligate interactions.These ipRs and ipRPs in our DWE bicliques describe a diverse binding features among the three types of interactions. They also highlight the specific binding behaviors of the biological interactions, sharply differing from the artifact interfaces in the crystal packing. It can be noted that DWE bicliques, especially the unique bicliques, can capture deep insights into the binding characteristics of protein interfaces.A protein binding hot spot is a small cluster of residues [1] tightly packed at the center of the interface between two interacting proteins. Though a hot spot constitutes a small fraction of the interface,
Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information
Peng Chen, Jinyan Li
BMC Bioinformatics , 2010, DOI: 10.1186/1471-2105-11-402
Abstract: We propose a new idea to construct an integrative profile for each residue in a protein by combining its hydrophobic and evolutionary information. A support vector machine (SVM) ensemble is then developed, where SVMs train on different pairs of positive (interface sites) and negative (non-interface sites) subsets. The subsets having roughly the same sizes are grouped in the order of accessible surface area change before and after complexation. A self-organizing map (SOM) technique is applied to group similar input vectors to make more accurate the identification of interface residues. An ensemble of ten-SVMs achieves an MCC improvement by around 8% and F1 improvement by around 9% over that of three-SVMs. As expected, SVM ensembles constantly perform better than individual SVMs. In addition, the model by the integrative profiles outperforms that based on the sequence profile or the hydropathy scale alone. As our method uses a small number of features to encode the input vectors, our model is simpler, faster and more accurate than the existing methods.The integrative profile by combining hydrophobic and evolutionary information contributes most to the protein-protein interaction prediction. Results show that evolutionary context of residue with respect to hydrophobicity makes better the identification of protein interface residues. In addition, the ensemble of SVM classifiers improves the prediction performance.Datasets and software are available at http://mail.ustc.edu.cn/~bigeagle/BMCBioinfo2010/index.htm webcite.In living cells, proteins interact with other proteins in order to perform specific biological functions, such as signal transduction or immunological recognition, DNA replication and gene translation, as well as protein synthesis [1]. These interactions are localized to the so-called "interaction sites" or "interface residues".Identification of these residues will allow us to understand how proteins recognize other molecules and to gain clues into their po
Revisiting Differential Item Functioning: Implications for Fairness Investigation
Jinyan Huang,Turgay Han
International Journal of Education , 2012, DOI: 10.5296/ije.v4i2.1654
Abstract: Fairness has been the priority in educational assessments during the past few decades. Differential item functioning (DIF) becomes an important statistical procedure in the investigation of assessment fairness. For any given large-scale assessment, DIF evaluation is suggested as a standard procedure by American Educational Research Association, American Psychological Association, and National Council on Measurement in Education. This procedure often affords opportunities to check for group differences in test performance and investigate whether or not these differences indicate bias. However, current DIF research has received several criticisms. Revisiting DIF, this paper critically reviews current DIF research and proposes new directions for DIF research in the investigation of assessment fairness.
Sequential and simultaneous multiple explanation
Robert Litchfield,Jinyan Fan
Judgment and Decision Making , 2007,
Abstract: This paper reports two experiments comparing variants of multiple explanation applied in the early stages of a judgment task (a case involving employee theft) where participants are not given a menu of response options. Because prior research has focused on situations where response options are provided to judges, we identify relevant dependent variables that an intervention might affect when such options are not given. We use these variables to build a causal model of intervention that illustrates both the intended effects of multiple explanation and some potentially competing processes that it may trigger. Although multiple explanation clearly conveys some benefits (e.g., willingness to delay action to engage in information search, increased detail, quality and confidence in alternative explanations) in the present experiments, we also found evidence that it may initiate or enhance processes that attenuate its advantages (e.g., feelings that one does not need more data if one has multiple good explanations).
Completely positive tensor decomposition
Jinyan Fan,Anwa Zhou
Mathematics , 2014,
Abstract: A symmetric tensor, which has a symmetric nonnegative decomposition, is called a completely positive tensor. We consider the completely positive tensor decomposition problem. A semidefinite algorithm is presented for checking whether a symmetric tensor is completely positive. If it is not completely positive, a certificate for it can be obtained; if it is completely positive, a nonnegative decomposition can be obtained.
The CP-matrix Approximation Problem
Jinyan Fan,Anwa Zhou
Mathematics , 2014,
Abstract: A symmetric matrix $A$ is completely positive (CP) if there exists an entrywise nonnegative matrix $V$ such that $A = V V ^T$. In this paper, we study the CP-matrix approximation problem of projecting a matrix onto the intersection of a set of linear constraints and the cone of CP matrices. We formulate the problem as the linear optimization with the norm cone and the cone of moments. A semidefinite algorithm is presented for the problem. A CP-decomposition of the projection matrix can also be obtained if the problem is feasible.
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