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Approaches for maximizing throughput of self-timed multiply accumulate units (MACs) are developed and assessed using the NULL convention logic paradigm.
This model constitutes a critical step towards testing hypotheses and understanding approaches for maximizing synergy and substrate properties with a goal of cost effective enzymatic hydrolysis.
Our findings offer novel mechanistic insight into the efficacy of antiviral drugs and suggest novel approaches for maximizing the efficacy of HAART.
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Using an expectation-maximization (EM) approach for maximizing the likelihood of the exponential dispersion models (EDM), we obtain iterative update equations for Kullback Leibler (KL), Euclidian (EU) or Itakura Saito (IS) costs as special cases.
An effective approach for maximizing the DMFC energy density, pumping the excess water back to the anode, is illustrated.
Specifically, Li et al. (2008) suggested a dual-objective mathematical programming approach (for maximizing profits and minimizing pollution) for supply chain.
This study presents a novel approach for maximizing the efficiency of the water flooding process by controlling the flood front dynamics.
In this section, we describe our optimization approach for maximizing the total rate of each cell k as a long-term load balancing process.
In this paper, these drawbacks of ontology development are discussed and an approach for maximizing reusability through modularizing ontologies for different fields of the automation domain is presented.
In the present study, the process parameters affecting biosorption were optimized by adopting Analysis of Mean (ANOM) approach for maximizing the percentage removal of copper and nickel by growing Aspergillus sp. in batch reactor using Taguchi method.
The significance of our result is that it demonstrates a general approach for maximizing the efficiency and success of genome assembly projects as new sequencing technologies and new assembly algorithms are introduced.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com