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<bibitem type="J">   <ARLID>0489752</ARLID> <utime>20240103220028.5</utime><mtime>20180524235959.9</mtime>   <SCOPUS>85043344756</SCOPUS> <WOS>000431856600006</WOS>  <DOI>10.3934/dcdsb.2018143</DOI>           <title language="eng" primary="1">Viral infection model with diffusion and state-dependent delay: Stability of classical solutions</title>  <specification> <page_count>15 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0257845</ARLID><ISSN>1531-3492</ISSN><title>Discrete and Continuous Dynamical Systems-Series B</title><part_num/><part_title/><volume_id>23</volume_id><volume>3 (2018)</volume><page_num>1091-1105</page_num><publisher><place/><name>AIMS Press</name><year/></publisher></serial>    <keyword>reaction-diffusion</keyword>   <keyword>evolution equations</keyword>   <keyword>Lyapunov stability</keyword>   <keyword>state-dependent delay</keyword>   <keyword>virus infection model</keyword>    <author primary="1"> <ARLID>cav_un_auth*0282033</ARLID> <name1>Rezunenko</name1> <name2>Oleksandr</name2> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept language="eng">Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department language="eng">AS</department> <institution>UTIA-B</institution> <full_dept>Department of Adaptive Systems</full_dept> <country>UA</country> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2018/AS/rezunenko-0489752.pdf</url> </source>        <cas_special> <project> <ARLID>cav_un_auth*0335261</ARLID> <project_id>GA16-06678S</project_id> <agency>GA ČR</agency> <country>CZ</country> </project>  <abstract language="eng" primary="1">A class of reaction-diffusion virus dynamics models with intracellular state-dependent delay and a general non-linear infection rate functional response is investigated. We are interested in classical solutions with Lipschitz in-time initial functions which are adequate to the discontinuous change of parameters due to, for example, drug administration. The Lyapunov functions technique is used to analyse stability of interior infection equilibria which describe the cases of a chronic disease.</abstract>     <result_subspec>WOS</result_subspec> <RIV>BC</RIV> <FORD0>10000</FORD0> <FORD1>10200</FORD1> <FORD2>10201</FORD2>    <reportyear>2019</reportyear>     <unknown tag="mrcbC52"> 4 A hod 4ah 20231122143209.2 </unknown> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0284112</permalink>  <unknown tag="mrcbC64"> 1 Department of Adaptive Systems UTIA-B 10102 MATHEMATICS, APPLIED </unknown>  <confidential>S</confidential>  <unknown tag="mrcbC86"> 2 Article Mathematics Applied </unknown>         <unknown tag="mrcbT16-e">MATHEMATICS.APPLIED</unknown> <unknown tag="mrcbT16-f">1.283</unknown> <unknown tag="mrcbT16-g">0.252</unknown> <unknown tag="mrcbT16-h">5.6</unknown> <unknown tag="mrcbT16-i">0.00774</unknown> <unknown tag="mrcbT16-j">0.682</unknown> <unknown tag="mrcbT16-k">2145</unknown> <unknown tag="mrcbT16-s">0.804</unknown> <unknown tag="mrcbT16-5">0.928</unknown> <unknown tag="mrcbT16-6">214</unknown> <unknown tag="mrcbT16-7">Q3</unknown> <unknown tag="mrcbT16-B">51.887</unknown> <unknown tag="mrcbT16-C">44.7</unknown> <unknown tag="mrcbT16-D">Q2</unknown> <unknown tag="mrcbT16-E">Q2</unknown> <unknown tag="mrcbT16-M">0.74</unknown> <unknown tag="mrcbT16-N">Q3</unknown> <unknown tag="mrcbT16-P">44.685</unknown> <arlyear>2018</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: rezunenko-0489752.pdf </unknown>    <unknown tag="mrcbU14"> 85043344756 SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 000431856600006 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0257845 Discrete and Continuous Dynamical Systems-Series B 1531-3492 1553-524X Roč. 23 č. 3 2018 1091 1105 AIMS Press </unknown> </cas_special> </bibitem>