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We develop both pairwise and group protocols which are essentially optimal in human effort and, given that, computation.
In this study, we develop both mathematical and simulation modes considering probabilistic demand and picking frequency, and using simulation S/W, AutoMod.
We develop both myopic strategy, where the utility is purely local to the current classifier, and foresighted strategy, where the utility includes impact of classifier's actions on successive classifiers.
Here we develop both an empirical and computational methodology for estimating the narrow-sense heritability of traits for highly fecund species.
For the purpose of this investigation, we develop both mean-field and stochastic epidemiological models that describe the transmission dynamics of a disease in the population, and incorporate treatment and isolation of infected cases as control measures.
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We developed both analytical and simulation methods to explore the diffusion dynamics in protein folding.
We developed both simulation and experimental studies based on a realistic shaped torso phantom containing an isolated, perfused dog heart.
We developed both a smart phone application and web page for monitoring and controlling the M2M devices within the miniature house.
Because the multi-objective model is too large to solve using commercial software, we developed both a column generation algorithm and a two-phase swapping heuristic to find feasible assignments in a fast manner.
We developed both a likelihood and a Bayesian method, where the latter is implemented with a Markov chain Monte Carlo algorithm.
To increase treatment fidelity we developed both an intervention and a control group protocol.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com