| Network thermodynamics revisited. | |
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MedLine Citation:
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PMID: 7727706 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Modeling provides a bridge between the natural sciences (physics, chemistry, biology, and the like) and the axiomatic sciences (mathematics and statistics). Inductively-derived descriptive models map observations of physical processes into mathematical descriptions that can be treated as axioms (e.g., the various laws of physics). A synthetic model combines descriptive models of several physical processes with a structural model (representing the interactions of those processes) for the purpose of deducing or predicting the consequences of interactions. When applied together with elementary thermodynamic principles, circuit theory provides an excellent framework for synthetic modeling. |
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Authors:
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E R Lewis |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S. |
Journal Detail:
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Title: Bio Systems Volume: 34 ISSN: 0303-2647 ISO Abbreviation: BioSystems Publication Date: 1995 |
Date Detail:
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Created Date: 1995-05-30 Completed Date: 1995-05-30 Revised Date: 2007-11-14 |
Medline Journal Info:
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Nlm Unique ID: 0430773 Medline TA: Biosystems Country: IRELAND |
Other Details:
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Languages: eng Pagination: 47-63 Citation Subset: IM |
Affiliation:
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Department of Electrical Engineering and Computer Science, University of California, Berkeley, CA 94720, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Electronics Engineering Mathematics Models, Biological* Thermodynamics* |
| Grant Support | |
ID/Acronym/Agency:
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DC-00112/DC/NIDCD NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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