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Periodic optimization of biological systems

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Published .
Written in English

Subjects:

  • Chemotherapy,
  • Mathematical optimization,
  • Biological systems,
  • Periodic functions,
  • Cancer

Book details:

Edition Notes

Statementby Eva-Maria Abulesz
The Physical Object
Paginationviii, 136 leaves :
Number of Pages136
ID Numbers
Open LibraryOL25904116M
OCLC/WorldCa19935932

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The present volume contains the contributions to the NATO Advanced Research Workshop on "Chaos in Biological Systems" held at Dyffryn House, St. Nicholas, Cardiff, U. K., December , At this meeting 38 researchers with highly different backgrounds met to present their latest results through lectures and posters and to discuss the. Proper functioning of biological systems that respond to periodic signals requires the ability to synchronize with the periodic excitation. state output is maximized is a convex optimization. Periodic rhythms are ubiquitous phenomena that illuminate the underlying mechanism of cyclic activities in biological systems, which can be represented by cyclic attractors of the related biological network. Disorders of periodic rhythms are detrimental to the natural behaviours of living organisms. Previous studies have shown that the state transition from one to another attractor can be Author: Meichen Yuan, Junlin Qu, Weirong Hong, Pu Li. Asked for: likely biological function. Strategy: From the position of tin in the periodic table, its common oxidation states, and the data in Table , predict a likely biological function for the element. Solution: From its position in the lower part of gr we know that tin is a metallic element whose most common oxidation states are +4.

  A number of books written by statisticians address the mathematical optimization of biological systems, but do not directly address statistical optimization. Statistical Optimization of Biological Systems covers the optimization of bioprocess systems in its entirety, devoting much-needed attention to the experimental optimization of biological syst.   As mentioned above, the biological nature of MFCs makes electrical characteristics, including the internal resistance, depend on fast changing environmental factors. As a consequence of this dynamic system, periodic adjustment of the external electrical load is required to avoid substantial losses in power production.   Optimization aims to make a system or design as effective or functional as possible. Mathematical optimization methods are widely used in engineering, economics and science. This commentary is focused on applications of mathematical optimization in computational systems biology. Examples are given where optimization methods are used for topics ranging from model building and . Biological models are usually described using difference equations. As a result, we are - in this work - interested in studying a general difference model which includes two biological models as special cases. In detail, we study the qualitative behaviors (local and global stability, boundedness and periodicity character) of a general difference model.

  Journal of Biological Systems , () Periodic solution for the stochastic chemostat with general response function. Physica A: Statistical Mechanics and its Applications , . Periodic processes are ubiquitous in biological systems, yet modeling these processes with high fidelity as periodic orbits of dynamical systems is challenging. Moreover, mathematical models of biological processes frequently contain many poorly-known parameters. The goal of the University of Florida's Retrospective Dissertation Scanning project is to build a digital collection of approximately 8, dissertations written by PhD graduates of the University of Florida from This page is the portal to the UF dissertations scanned and made available via the Internet Archive up to this point.   Understanding the importance of optimization to biological systems is an essential element of biological engineering education [19,20]. Including biological optimization in one or more undergraduate courses can result in better biological engineering graduates who are able to see broad implications for their work.