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   <ui>1687-2770-2011-404696</ui>
   <ji>1687-2770</ji>
   <fm>
      <dochead>Research Article</dochead>
      <bibl>
         <title>
            <p>Non-Constant Positive Steady States for a Predator-Prey Cross-Diffusion Model with Beddington-DeAngelis Functional Response</p>
         </title>
         <aug>
            <au id="A1"><snm>Zhang</snm><fnm>Lina</fnm><insr iid="I1"/><email>applegggg@126.com</email></au>
            <au ca="yes" id="A2"><snm>Fu</snm><fnm>Shengmao</fnm><insr iid="I1"/><email>fusm@nwnu.edu.cn</email></au>
         </aug>
         <insg>
            <ins id="I1"><p>Department of Mathematics, Northwest Normal University, Lanzhou 730070, China</p></ins>
         </insg>
         <source>Boundary Value Problems</source>
         <issn>1687-2770</issn>
         <pubdate>2011</pubdate>
         <volume>2011</volume>
         <issue>1</issue>
         <fpage>404696</fpage>
         <url>http://www.boundaryvalueproblems.com/content/2011/1/404696</url>
         <xrefbib><pubid idtype="doi">10.1155/2011/404696</pubid></xrefbib>
      </bibl>
      <history><rec><date><day>13</day><month>10</month><year>2010</year></date></rec><acc><date><day>30</day><month>1</month><year>2011</year></date></acc><pub><date><day>27</day><month>2</month><year>2011</year></date></pub></history>
      <cpyrt><year>2011</year><collab>Lina Zhang and Shengmao Fu.</collab><note>This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</note></cpyrt>
      <abs>
         <sec>
            <st>
               <p>Abstract</p>
            </st>
            <p>This paper deals with a predator-prey model with Beddington-DeAngelis functional response under homogeneous Neumann boundary conditions. We mainly discuss the following three problems: (1) stability of the nonnegative constant steady states for the reaction-diffusion system; (2) the existence of Turing patterns; (3) the existence of stationary patterns created by cross-diffusion.</p>
         </sec>
      </abs>
   </fm>
   <bdy>
      <sec>
         <st>
            <p>Publisher note</p>
         </st>
         <p>To access the full article, please see PDF.</p>
      </sec>
   </bdy>
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