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  • 1
    Publication Date: 2024-04-14
    Description: Control Theory; Engineering Design Tradeoffs; Robust Control; Feedback Control Systems; Wolfram Mathematica Software; Optimal Control
    Keywords: Control Theory ; Engineering Design Tradeoffs ; Robust Control ; Feedback Control Systems ; Wolfram Mathematica Software ; Optimal Control ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 2
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 422 (2003), S. 494-494 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Many human cancers occur in renewing epithelial tissues, in which cellular lineages typically go through two distinct phases: early in life, cell populations expand exponentially to form the tissue, and for the remainder of life, the tissue is renewed by stem cells dividing to create an almost ...
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  • 3
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 377 (1995), S. 520-522 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Competition within groups can have both benefits and costs for an individual. If resources are limited within the group, the most competitive individuals will gain a disproportionate share of the local benefits. However, competition often reduces the group's overall efficiency in using local ...
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  • 4
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 425 (2003), S. 251-252 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Early in the history of life, different copies of replicating nucleic acids must have existed near each other. Some of these genomes probably parasitized their neighbours by becoming shorter, dropping essential information and using proteins encoded by the full-length molecules. The shorter ...
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Behavioral ecology and sociobiology 20 (1987), S. 195-201 
    ISSN: 1432-0762
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Small colonies of ants often produce mostly male alates, while large colonies produce mostly female alates. I present a simple model consistent with this pattern in which males that compete for mates are related (Local Mate Competition). The model explains the observed trend even when relatedness among competing males is low, so that there is only a negligible effect on the predicted sex allocation ratio in the population. The reverse trend is expected when there is competition among related females for a limited resource, such as nest sites (Local Resource Competition); small broods are predicted to be mostly female and large broods are predicted to be mostly male.
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Evolutionary ecology 10 (1996), S. 323-325 
    ISSN: 1573-8477
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    Springer
    Evolutionary ecology 10 (1996), S. 307-317 
    ISSN: 1573-8477
    Keywords: population genetics ; disease ; resistance ; statistics ; non-linear dynamics
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Host—parasite interactions often have complex dynamics. At the level of individual allele frequencies, the dynamics are difficult to predict and difficult to measure. However, aggregate properties of polymorphism, such as allelic diversity or the frequency of resistance, may be relatively easy to work with. I study this problem with computer simulations of a host—parasite model. In one example, the simulations show that the allelic diversity at a locus is similar in a host—parasite model and a neutral model in which drift is the only evolutionary process. Allelic diversity is similar in the two models, even though the temporal dynamics of individual allele frequencies are very different. In a second example, the genetic system that would be inferred from analysing samples of hosts and parasites is quite different from the actual specificity that determines the dynamics of the system. Thus, general conclusions about the specificity of host—parasite genetics must be analysed in the context of the expected statistical distributions of polymorphism. The final example shows that the frequency of resistance provides an interesting aggregate measure of host—parasite polymorphism. If the ratio of parasite generation time to the time between the reproductive seasons of the hosts is small, then no regular periodicity in the frequency of resistance occurs. However, if parasites have many generations per reproductive season of the host, then resistance fluctuates with a period equal to the seasonality of the host. The important role of seasonality shown here differs from the emphasis in previous theories on the relative generation times of host and parasite.
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  • 8
    Electronic Resource
    Electronic Resource
    Springer
    Evolutionary ecology 5 (1991), S. 193-217 
    ISSN: 1573-8477
    Keywords: Disease ; coevolution ; spatial variation ; polymorphism ; migration
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Computer simulations of coevolutionary dynamics between two hosts and two parasites show that extensive spatial variation in polymorphism can be maintained among environmentally identical patches. Spatial variation can be maintained under frequent migration when the dynamics within patches are locally unstable, and the cycles in host and parasite abundances remain out of phase among patches. Additionally, spatial variation can be maintained when host-parasite interactions cause local extinctions, and migration subsequently allows for recolonization. The temporal dynamics that cause spatial variation are difficult to study directly because of the long time scale over which they occur. The simulations suggest that sampling over space at one or a few points in time may provide much information about temporal dynamics.
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  • 9
    Electronic Resource
    Electronic Resource
    Springer
    Evolutionary ecology 8 (1994), S. 74-94 
    ISSN: 1573-8477
    Keywords: quantitative genetics ; genetic polymorphism ; epidemiology ; disease ; herbivory
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary A model of host—parasite coevolution is analysed. A host resistance trait and a parasite virulence trait interact to determine the outcome of a parasitic attack, where each trait is determined by quantitative genetic variation. The resistance and virulence traits are assumed to have a fitness cost. Each host and parasite genotype is treated as a separate ‘species’ in a multidimensional Lotka—Volterra system in which the numerical abundance of each genotype is free to change. Thus, the epidemiological effects of fluctuating population sizes are analysed jointly with changes in genotype frequencies. Population sizes fluctuate increasingly as the parasites' reproductive capacity increases and as resistance and virulence benefits per unit cost decline. The patterns of genetic variability depend mainly on the stability of population sizes and on the shape of the relationship between the costs and benefits of a trait.
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  • 10
    Electronic Resource
    Electronic Resource
    Springer
    Evolutionary ecology 7 (1993), S. 45-75 
    ISSN: 1573-8477
    Keywords: plant disease ; genetic polymorphism ; gene-for-gene ; epidemiology
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary The genetic polymorphism maintained by host-pathogen coevolution is analysed in a multilocus model. The model assumes gene-for-gene interactions of the type commonly observed between host plants and their fungal pathogens. Unstable (epidemic) systems maintain more resistance genes, fewer virulence genes, and less overall genetic diversity than stable (endemic) diseases. The stability of the system depends primarily on demographic parameters, such as the pathogen's intrinsic rate of increase, rather than genetic parameters, such as the costs of resistance and virulence. At equilibrium the model predicts that the number of resistance alleles in each host plant follows a binomial distribution that depends on the cost to the pathogen for carrying virulence alleles. Similarly, the number of virulence alleles in each pathogen spore follows a binomial distribution that depends on one minus the cost to the host for carrying resistance alleles. Data from wild populations match the predicted binomial distributions.
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