
<ns0:uwmetadata xmlns:ns0="http://phaidra.univie.ac.at/XML/metadata/V1.0" xmlns:ns1="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0" xmlns:ns10="http://phaidra.univie.ac.at/XML/metadata/provenience/V1.0" xmlns:ns11="http://phaidra.univie.ac.at/XML/metadata/provenience/V1.0/entity" xmlns:ns12="http://phaidra.univie.ac.at/XML/metadata/digitalbook/V1.0" xmlns:ns13="http://phaidra.univie.ac.at/XML/metadata/etheses/V1.0" xmlns:ns2="http://phaidra.univie.ac.at/XML/metadata/extended/V1.0" xmlns:ns3="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/entity" xmlns:ns4="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/requirement" xmlns:ns5="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/educational" xmlns:ns6="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/annotation" xmlns:ns7="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/classification" xmlns:ns8="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/organization" xmlns:ns9="http://phaidra.univie.ac.at/XML/metadata/histkult/V1.0">
  <ns1:general>
    <ns1:identifier>o:36173</ns1:identifier>
    <ns1:title language="en">Dynamical Properties of a Stochastic Tumor–Immune System with Impulsive Perturbations and Regime Switching</ns1:title>
    <ns1:language>en</ns1:language>
    <ns1:description language="en">Abstract: Despite numerous clinical attempts to treat tumors, malignant tumors remain a
significant threat to human health due to associated side effects. Consequently, researchers
are dedicated to studying the dynamical evolution of tumors in order to provide guidance
for therapeutic treatment. This paper presents a stochastic tumor–immune model to discover the role of the regime switching in microenvironments and analyze tumor evolution
under comprehensive pulse effects. By selecting an appropriate Lyapunov function and
applying Itô’s formula, the ergodicity theory of Markov chains, and inequality analysis
methods, we undertake a systematic investigation of a tumor’s behavior, focusing on its
extinction, its persistence, and the existence of a stationary distribution. Our detailed
analysis uncovers a profound impact of environmental regime switching on the dynamics
of tumor cells. Specifically, we find that when the system is subjected to a high-intensity
white noise environment over an extended duration, the growth of tumor cells is markedly
suppressed. This critical finding reveals the indispensable role of white noise intensity
and exposure duration in the long-term evolution of tumors. The tumor cells exhibit a
transition from persistence to extinction when the environmental regime switches between
two states. Furthermore, the growth factor of the tumor has an essential influence on the
steady-state distribution of the tumor evolution. The theoretical foundations in this paper
can provide some practical insights to develop more effective tumor treatment strategies,
ultimately contributing to advancements in cancer research and care.</ns1:description>
    <ns1:description language="en">Funding: This research was funded by the National Natural Science Foundation of China (Nos.
12272283 and 12172266).</ns1:description>
    <ns1:keyword language="en">Keywords: tumor–immune interaction; stochastic perturbations; regime switching; impulsive perturbations; persistence and extinction</ns1:keyword>
    <ns2:identifiers>
      <ns2:resource>1552099</ns2:resource>
      <ns2:identifier>10.3390/math13060928</ns2:identifier>
    </ns2:identifiers>
    <ns2:identifiers>
      <ns2:resource>1552101</ns2:resource>
      <ns2:identifier>2227-7390</ns2:identifier>
    </ns2:identifiers>
  </ns1:general>
  <ns1:lifecycle>
    <ns1:upload_date>2025-05-08T11:00:28.711Z</ns1:upload_date>
    <ns1:status>44</ns1:status>
    <ns2:peer_reviewed>no</ns2:peer_reviewed>
    <ns1:contribute seq="0">
      <ns1:role>46</ns1:role>
      <ns1:entity seq="0">
        <ns3:firstname>Junfeng</ns3:firstname>
        <ns3:lastname>Zhao</ns3:lastname>
      </ns1:entity>
      <ns1:entity seq="1">
        <ns3:firstname>Bingshuo</ns3:firstname>
        <ns3:lastname>Wang</ns3:lastname>
        <ns3:type>person</ns3:type>
      </ns1:entity>
      <ns1:entity seq="2">
        <ns3:firstname>Wei</ns3:firstname>
        <ns3:lastname>Li</ns3:lastname>
        <ns3:type>person</ns3:type>
      </ns1:entity>
      <ns1:entity seq="3">
        <ns3:firstname>Dongmei</ns3:firstname>
        <ns3:lastname>Huang</ns3:lastname>
        <ns3:type>person</ns3:type>
      </ns1:entity>
      <ns1:entity seq="4">
        <ns3:firstname>Vesna</ns3:firstname>
        <ns3:lastname>Rajić</ns3:lastname>
        <ns3:institution>Univerzitet u Beogradu Ekonomski fakultet</ns3:institution>
        <ns3:type>person</ns3:type>
        <ns3:orcid>0000-0002-4566-0147</ns3:orcid>
      </ns1:entity>
    </ns1:contribute>
  </ns1:lifecycle>
  <ns1:technical>
    <ns1:format>application/pdf</ns1:format>
    <ns1:size>3158900</ns1:size>
    <ns1:location>https://phaidrabg.bg.ac.rs/o:36173</ns1:location>
  </ns1:technical>
  <ns1:rights>
    <ns1:cost>no</ns1:cost>
    <ns1:copyright>yes</ns1:copyright>
    <ns1:license>16</ns1:license>
  </ns1:rights>
  <ns1:classification>
    <ns1:purpose>70</ns1:purpose>
  </ns1:classification>
  <ns1:organization>
    <ns8:hoschtyp>1552253</ns8:hoschtyp>
    <ns8:orgassignment>
      <ns8:faculty>11A03</ns8:faculty>
    </ns8:orgassignment>
  </ns1:organization>
  <ns12:digitalbook>
    <ns12:name_magazine language="sr">Mathematics</ns12:name_magazine>
    <ns12:volume>13</ns12:volume>
    <ns12:booklet>6</ns12:booklet>
    <ns12:from_page>928</ns12:from_page>
    <ns12:releaseyear>2025</ns12:releaseyear>
  </ns12:digitalbook>
</ns0:uwmetadata>
