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The cartilaginous models determine the general shape and relative size of the bones.
Multivariate logistic regression models determine the association between DII quintile and depression.
The models determine the optimal placement of ATM switch hardware and fiber optic transport.
Both models determine the producer gas composition (CO, CO2, H2, CH4) and gas yield.
The models determine the percentages of iron ore and iron concentrate to be mixed in agglomeration process.
Fuzzy models determine the impact values of the risk factors, and Markov processes determine the probability of risk occurrences.
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Fitness estimated by surrogate models: determines the rough quality of generated heuristics.
Decision points, the XOR nodes in a workflow graph model, determine the path chosen toward completion of any process invocation.
Parameters within the model determine the variance of rates.
Parameters within the model determine the expectancy value and variance of rates.
Our model determine the loss of three aromatase paralogues upon duplication of the ancestral MHC-paralogon.
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