Computational and Physical Modeling to Understand Form-Function Relationships.
Autor: | Schwaner MJ; Department of Movement Sciences, Katholieke Universiteit, Leuven, Belgium., Hsieh ST; Department of Biological Sciences, Temple University, PA, USA. |
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Jazyk: | angličtina |
Zdroj: | Integrative and comparative biology [Integr Comp Biol] 2024 Aug 16. Date of Electronic Publication: 2024 Aug 16. |
DOI: | 10.1093/icb/icae136 |
Abstrakt: | The morphology-performance-fitness paradigm has long been a guiding principle inspiring a great deal of laboratory and field studies fundamental to understanding functional-morphology relationships across the tree of life. Despite the power of experimental approaches they also come with inherent limitations associated with equipment and animal costs, as well as ethical considerations for the types of manipulations that can be implemented. Modeling can provide an opportunity to surmount some of these challenges by offering greater flexibility in manipulating variables and exploring a wider parameter space than is tractable during animal experimentation. However, effective implementation of these tools requires careful consideration of the limitations and benefits they convey, requiring both greater interdisciplinary training from early stages of educational development and increased collaboration and synergies among scientists from traditionally separate disciplines. With institutions increasingly recognizing the need for and investing in providing universal access to computational and rapid prototyping resources, we believe that it is an opportune moment to prioritize greater synergy to accelerate discovery and innovation across fields. (© The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology.) |
Databáze: | MEDLINE |
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