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| 005 | 20240409081801.0 | ||
| 008 | 240409b |||||||| |||| 00| 0 eng d | ||
| 022 | _a0025-570X | ||
| 100 | _aChase, John | ||
| 245 |
_aBacterial Growth _b: Not So Simple (Journal Article) |
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| 260 |
_aPhiladelphia, PA _b:Taylor & Francis Group _c, September 2023 |
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| 300 | _a433-441p. | ||
| 440 |
_aMathematics Magazine _vVolume 96: Number 4, October 2023 |
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| 505 | _a***______{For Hard Copy, Please visit Library.}________*** | ||
| 520 | _aAbstract: 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. | ||
| 650 | _aexponential growth | time-to-division| Gamma distributed time-to-division | ||
| 700 | _aWright, Matthew | ||
| 856 | _uhttps://doi.org/10.1080/0025570X.2023.2232259 | ||
| 942 | _cPER | ||
| 999 |
_c45626 _d45625 |
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