| 000 | 03285nam a22004935i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-25374-4 | ||
| 003 | DE-He213 | ||
| 005 | 20240507154521.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230301s2023 sz | s |||| 0|eng d | ||
| 020 |
_a9783031253744 _9978-3-031-25374-4 |
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| 024 | 7 |
_a10.1007/978-3-031-25374-4 _2doi |
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| 050 | 4 | _aQA71-90 | |
| 072 | 7 |
_aPBKS _2bicssc |
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_aMAT003000 _2bisacsh |
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_aPBKS _2thema |
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_a003.3 _223 |
| 245 | 1 | 0 |
_aComputational Physiology _h[electronic resource] : _bSimula Summer School 2022 − Student Reports / _cedited by Kimberly J. McCabe. |
| 250 | _a1st ed. 2023. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2023. |
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| 300 |
_aXII, 109 p. 45 illus., 41 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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| 490 | 1 |
_aReports on Computational Physiology, _x2730-7743 ; _v13 |
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| 505 | 0 | _a1. An Automated Cardiac Constitutive Modelling Framework with -- 2. Evolutionary Strain Energy Functions -- 3. Electromechanical In Silico Testing Alters Predicted Drug-Induced Risk to Develop Torsade de Pointes -- 4. In silico Investigation of Sex-Specific Osteoarthritis in Human Articular Chondrocytes -- 5. Recapitulating Functional Heterogeneity in Electrophysiologically Active Tissues -- 6. Realizing Synaptic Signal Transmission During Astrocyte-Neuron Interactions within the EMI Framework. | |
| 506 | 0 | _aOpen Access | |
| 520 | _aThis open access volume compiles student reports from the 2022 Simula Summer School in Computational Physiology. The reports provide an overview of some tools available to model physiology in excitable tissues across scales and scientific questions. In 2022, Simula held the eighth annual Summer School in Computational Physiology in collaboration with the University of Oslo (UiO) and the University of California, San Diego (UCSD). Each year, the course focuses on modeling excitable tissues, with a special interest in cardiac physiology and neuroscience. Group research projects conducted by graduate students from around the world result in reports addressing problems of physiological importance. Reports may not necessarily represent new scientific results; rather, they can reproduce or supplement earlier studies. Reports from seven of the summer projects are included as separate chapters. The topics represented include multiscale mechanics, electrophysiology, pharmacology, and machine learning. . | ||
| 650 | 0 |
_aMathematics _xData processing. |
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| 650 | 1 | 4 | _aComputational Science and Engineering. |
| 700 | 1 |
_aMcCabe, Kimberly J. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031253737 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031253751 |
| 830 | 0 |
_aReports on Computational Physiology, _x2730-7743 ; _v13 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-25374-4 |
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