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  <titleInfo>
    <title>Bacterial Growth</title>
    <subTitle>: Not So Simple (Journal Article)</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Chase, John</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Wright, Matthew</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Philadelphia, PA</placeTerm>
    </place>
    <publisher>:Taylor &amp; Francis Group</publisher>
    <dateIssued>, September 2023</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>433-441p.</extent>
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  <abstract>Abstract: Bacterial growth is used as a simple example of exponential growth, but a population often grows much faster than the average time-to-division suggests. We examine the effect of randomness in the time-to-division of individual bacteria and the aggregate population growth, revealing intricacies that are often overlooked. Specifically, the average time-to-division of individual bacteria does not by itself determine the aggregate population growth. Exponential population growth occurs in realistic scenarios, but the aggregate growth factor depends in nonobvious ways on the underlying splitting distribution.</abstract>
  <tableOfContents>***______{For Hard Copy, Please visit Library.}________***

</tableOfContents>
  <subject>
    <topic>exponential growth | time-to-division| Gamma distributed time-to-division</topic>
  </subject>
  <relatedItem type="series">
    <titleInfo>
      <title>Mathematics Magazine  Volume 96: Number 4, October 2023</title>
    </titleInfo>
  </relatedItem>
  <identifier type="issn">0025-570X  </identifier>
  <identifier type="uri">https://doi.org/10.1080/0025570X.2023.2232259</identifier>
  <location>
    <url>https://doi.org/10.1080/0025570X.2023.2232259</url>
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    <recordCreationDate encoding="marc">240409</recordCreationDate>
    <recordChangeDate encoding="iso8601">20240409081801.0</recordChangeDate>
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