000 | 03753nam a22005415i 4500 | ||
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001 | 978-3-030-79146-9 | ||
003 | DE-He213 | ||
005 | 20240423125232.0 | ||
007 | cr nn 008mamaa | ||
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_a9783030791469 _9978-3-030-79146-9 |
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024 | 7 |
_a10.1007/978-3-030-79146-9 _2doi |
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_a570.285 _223 |
100 | 1 |
_aMaly, Ivan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 0 |
_aQuantitative Elements of General Biology _h[electronic resource] : _bA Dynamical Systems Approach / _cby Ivan Maly. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
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300 |
_aVII, 200 p. 62 illus., 17 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _a1. Introduction -- 2. Darwinian dynamics -- 3. Homeostasis -- 4. Cellular organization -- 5. Multicellular form and movement -- 6. Inter-species and planetary-scale dynamics. | |
520 | _aThis monograph sketches out a broad spectrum of problems (from evolution and metabolism to morphogenesis and biogeographical dynamics) whose solution has been impacted by mathematical models. Each of the selected examples has led to the recognition—and set direction to further study—of certain fundamental but unintuitive properties of biological systems, such as the making and breaking of specific symmetries that underlie morphogenesis. Whether they are long-established or only recently accepted, these models are selected for being thought-provoking and illuminating both the achievements and the gaps in our current understanding of the given area of biology. The selection of models is also meant to bring to the fore the existing degree of unity in the quantitative approach to diverse general-biological questions and in the systems-level properties that are discovered across the levels of biological organization. It is the thesis of this book that further cultivation of such unity is a way forward as we progress toward a general theory of living matter. This is an ideal book for students (in the broadest sense) of biology who wish to learn from this attempt to present the exemplary models, their methodological lessons, and the outline of a unified theory of living matter that is now beginning to emerge. In addition to a doctoral student preparing for quantitative biology research, this reader could also be an interdisciplinary scientist transitioning to biology. The latter—for example, a physicist or an engineer—may be comfortable with the mathematical apparatus and prepared to quickly enter the intended area of work, but desires a broader foundation in biology from the quantitative perspective. | ||
650 | 0 | _aBioinformatics. | |
650 | 0 | _aBiotechnology. | |
650 | 0 | _aBiomedical engineering. | |
650 | 1 | 4 | _aBioinformatics. |
650 | 2 | 4 | _aComputational and Systems Biology. |
650 | 2 | 4 | _aBiotechnology. |
650 | 2 | 4 | _aBiomedical Engineering and Bioengineering. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030791452 |
776 | 0 | 8 |
_iPrinted edition: _z9783030791476 |
776 | 0 | 8 |
_iPrinted edition: _z9783030791483 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-79146-9 |
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912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c175720 _d175720 |