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Models of the Human Metabolism

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Advances in Conceptual Modeling – Challenges and Opportunities (ER 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5232))

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Abstract

The systemic investigation of the energy metabolism in the frame of the selfish-brain theory focusses on supply chains. They describe the transport chain beginning with the energy exploration in the remote environment until the energy is consumed by neurons in the brain.

Modeling this, the main difficulty consists in the selection of significant core models among the enormous number of known substances and regulatory mechanisms, which are afflicted with considerable uncertainties in general. We supplement the standard bottom-up modeling of certain mechanisms by a deductive approach. Therefore, we investigate general supply chains and deduce indispensable elements in the regulatory mechanisms from available observations.

A critical selection of system properties and underlying mechanisms enables us to simulate observations, which cannot be explained by the classical glucostatic and lipostatic theory. These observations are the e. g. nearly constant energy level in the brain, the different responses of the periphery and the brain to atrophic periods and finally the development of diabetes.

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Author information

Authors and Affiliations

  1. Institute of Mathematics, University of Lübeck, Wallstr. 40, 23560, Lübeck, Germany

    Dirk Langemann

  2. Medical Clinic I, University of Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany

    Achim Peters

Authors
  1. Dirk Langemann
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  2. Achim Peters
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Editor information

Editors and Affiliations

  1. College of Information Science and Technology, Drexel University, USA

    Il-Yeol Song

  2. Dep. of Information Technologies & Systems - Escuela Superior de Informática, University of Castilla-La Mancha, Alarcos Research Group- Institute of Information Technologies & Systems, Ciudad Real, Spain

    Mario Piattini

  3. School of Engineering and Information Technology, Deakin University, 221 Burwood Highway, Vic, 3125, Australia

    Yi-Ping Phoebe Chen

  4. Clausthal University of Technology, Julius-Albert-Str. 4, 38678, Clausthal-Zellerfeld, Germany

    Sven Hartmann

  5. Dipartimento di Elettronica, Informatica e Sistemistica, Alma Mater Studiorum – Università di Bologna, P.O. Box, Italy

    Fabio Grandi

  6. Department of Software and Computing Systems, University of Alicante, Spain

    Juan Trujillo

  7. Department of Information Science and Media Studies, University of Bergen, Fosswinckelsgate 6, 5007, Bergen, Norway

    Andreas L. Opdahl

  8. Istituto di Ricerche sulla Popolazione e Politiche Sociali, CNR, Via Nizza 128, 00198, Roma, Italy

    Fernando Ferri  & Patrizia Grifoni  & 

  9. IRPPS-CNR, Rome, Italy

    Maria Chiara Caschera

  10. Universit Paris1 Panthon Sorbonne, CRI, 90 Rue de Tolbiac, 75013, Paris

    Colette Rolland

  11. Portland State University, USA; Indiana University, USA University of British Columbia, Canada; Hill-Rom Company, USA University of British Columbia, Canada; Deloitte Consulting, P.O. Box, USA

    Carson Woo

  12. Centre de Recherche en Informatique, Université Paris 1 Panthéon-Sorbonne, 90 rue de Tolbiac, 75013, Paris

    Camille Salinesi

  13. Université Libre de Bruxelles, Belgium

    Esteban Zimányi

  14. Naval Academy Research Institute, Brest Naval, France

    Christophe Claramunt

  15. Technische Universiteit Eindhoven, PO Box 513, NL-5600 MB, Eindhoven, The Netherlands

    Flavius Frasincar

  16. Technische Universiteit Eindhoven, P.O. Box 513, NL 5600 MB, Eindhoven, The Netherlands

    Geert-Jan Houben

  17. IMRU-FUNDP, University of Namur, Namur, Belgium

    Philippe Thiran

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Langemann, D., Peters, A. (2008). Models of the Human Metabolism. In: Song, IY., et al. Advances in Conceptual Modeling – Challenges and Opportunities. ER 2008. Lecture Notes in Computer Science, vol 5232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87991-6_2

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  • DOI: https://doi.org/10.1007/978-3-540-87991-6_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87990-9

  • Online ISBN: 978-3-540-87991-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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