Gary Johnson

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P6new physiological criterion for muscular load sharing is developed. The criterion is based on the assumption that the endurance time of muscular contractions is maximized, hence muscular fatigue is minimized. The optimization problem is cast in the form of a linearly constrained, non-linear MINIMAX optimization. The new method predicts that: (1) there is(More)
The use of optimization techniques to predict individual muscle forces in redundant biomechanical systems implies the formulation of a criterion for load sharing between the muscles. In part I of this paper, the characteristics and performance of several linear and non-linear criteria reported in the literature have been compared for static-isometric knee(More)
This paper describes three strategies for developing highly reusable software components in Ada-95. The first is an analysis strategy utilizing use cases for discovery of the architectural components. The second is a design strategy aimed at achieving reusability through minimization of changes. The classical object-oriented methods tend to create close(More)
Genome to life (GTL), the U.S Department of Energy Office of Science's systems biology program, focuses on environmental microbiology. Over the next 10 to 20 years, GTL's key goal is to understand the life processes of thousands of microbes and microbial systems in their native environments. This focus demands that we address huge gaps in knowledge,(More)
Increasing our knowledge of unplanned anthropogenic synergies, which have affected ecosystems since prehistory, may facilitate ecological restoration. Predictive relationships between spatial pattern and ecosystem processes and functions in riverscapes have the potential to inform applied ecosystem restoration planning and design, where principles are(More)
A key goal of the DOE Office of Science's systems biology program, Genomes to Life (GTL), is to achieve, over the next 10 to 20 years, a basic understanding of thousands of environmental microbes and microbial systems in their native environments. This goal demands that we develop new models for scientific discovery that integrate methods and systems which(More)
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