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<bibitem type="C">   <ARLID>0543058</ARLID> <utime>20250123093434.4</utime><mtime>20210608235959.9</mtime>   <SCOPUS>85111365933</SCOPUS> <WOS>000723653400047</WOS>  <DOI>10.1109/PC52310.2021.9447532</DOI>           <title language="eng" primary="1">Quasi-steady state assumption vs. delayed quasi-steady state assumption: Model reduction tools for biochemical processes</title>  <specification> <page_count>6 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0543019</ARLID><ISBN>978-1-6654-0329-0</ISBN><title>Proceedings of the 2021 23rd International Conference on Process Control (PC)</title><part_num/><part_title/><page_num>278-283</page_num><publisher><place>Piscataway</place><name>IEEE</name><year>2021</year></publisher><editor><name1>Paulen</name1><name2>R.</name2></editor><editor><name1>Fikar</name1><name2>M.</name2></editor></serial>    <keyword>Mathematical modelling</keyword>   <keyword>Model reduction</keyword>   <keyword>Systems biology</keyword>   <keyword>Biochemical network</keyword>    <author primary="1"> <ARLID>cav_un_auth*0404313</ARLID> <name1>Papáček</name1> <name2>Štěpán</name2> <institution>UTIA-B</institution> <full_dept language="cz">Teorie řízení</full_dept> <full_dept language="eng">Department of Control Theory</full_dept> <department language="cz">TŘ</department> <department language="eng">TR</department> <country>CZ</country>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0215855</ARLID> <name1>Lynnyk</name1> <name2>Volodymyr</name2> <institution>UTIA-B</institution> <full_dept language="cz">Teorie řízení</full_dept> <full_dept>Department of Control Theory</full_dept> <department language="cz">TŘ</department> <department>TR</department> <full_dept>Department of Control Theory</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <source_size>257,87 KB</source_size> </source>        <cas_special> <project> <project_id>GA19-05872S</project_id> <agency>GA ČR</agency> <country>CZ</country> <ARLID>cav_un_auth*0376352</ARLID> </project>  <abstract language="eng" primary="1">This paper is devoted to mathematical models describing the drug-induced enzyme production networks. Our aim is to develop an enhanced (yet biologically meaningful) model, which can be used for further analysis and optimization of drug delivery. More precisely, we look for an appropriate model reduction method that could be used for further optimization of drug delivery. For both the full and reduced model, we simulate the model output corresponding to measurable quantity, i.e. mRNA fold induction. The comparison of the full system behavior with the reduced model is presented and future prospects are proposed. The method is illustrated by an example.</abstract>    <action target="WRD"> <ARLID>cav_un_auth*0410022</ARLID> <name>International Conference on Process Control 2021 /23./</name> <dates>20210601</dates> <unknown tag="mrcbC20-s">20210604</unknown> <place>Štrbské Pleso</place> <country>SK</country>  </action>  <RIV>BC</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10102</FORD2>    <reportyear>2022</reportyear>      <num_of_auth>2</num_of_auth>  <unknown tag="mrcbC52"> 4 A sml 4as 20231122145752.2 </unknown> <presentation_type> PR </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0320436</permalink>   <confidential>S</confidential>  <contract> <name>IEEE COPYRIGHT AND CONSENT FORM</name> <date>20210419</date> </contract> <article_num> 66 </article_num>      <arlyear>2021</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: papacek-0543058-CopyrightReceipt_PC21_PAPACEK.pdf </unknown>    <unknown tag="mrcbU14"> 85111365933 SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 000723653400047 WOS </unknown> <unknown tag="mrcbU56"> 257,87 KB </unknown> <unknown tag="mrcbU63"> cav_un_epca*0543019 Proceedings of the 2021 23rd International Conference on Process Control (PC) 978-1-6654-0329-0 278 283 Piscataway IEEE 2021 IEEE Catalog Number CFP21PCB-USB </unknown> <unknown tag="mrcbU67"> Paulen R. 340 </unknown> <unknown tag="mrcbU67"> Fikar M. 340 </unknown> </cas_special> </bibitem>