68 research outputs found

    Quantification and characterization of uncertainty in metabolic engineering

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    One of the central problems in metabolic engineering deals with the identification of the "rate limiting steps", i.e. enzymes whose activities one should manipulate towards the achievement of a desirable performance. However, uncertainty about the kinetic characteristics of the enzymes involved in the pathway of interest makes such identification almost impossible. On the other hand, extensive research within metabolic engineering has enabled the estn. of intracellular metabolic fluxes. Such information, while it provides significant understanding about the functioning of metabolic pathways and, some times, guidance for metabolic engineering, it does not allow a quant. prediction of the metabolic pathway responses to metabolic engineering actions, such as changes in enzyme activities. We have recently developed a method that overcomes these limitations and allows the identification of metabolic engineering targets for the manipulation of metabolic pathways based on information about the stoichiometry of the pathways and the assocd. values of the metabolic fluxes. The framework employs knowledge about the stoichiometry of biochem. networks and the estd. values of the assocd. metabolic fluxes, modeling concepts from metabolic control anal., computational methods, and nonparametric statistics. We will present and discuss the application of the method to the central carbon pathways in E. coli and S. cerevisiae for the identification of the metabolic engineering strategies (i.e., changes in enzyme activities) with the highest probability of success in optimizing conversion of glucose to ethanol. [on SciFinder (R)

    Maximum Efficiency Per Ampere Control of Synchronous Reluctance Motor Sensorless Drives

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    The maximum efficiency per ampere (MEPA) control strategy stands out as a highly effective means of improving the efficiency of a synchronous reluctance motor (SynRM) drive. This paper introduces an improved approach to optimizing efficiency that treats the motor and inverter as a unified system, ensuring maximum efficiency throughout operation. Diverging from conventional id=iq or maximum torque per ampere control methods, this approach accounts for both iron losses and inverter losses, while also addressing cross-coupling effects. This is achieved through real-time virtual signal injection, which extracts optimal operation points, and an accurate analytical approach to assess iron losses. Experimental results convincingly validate the effectiveness of this novel methodology

    Women committed to the Massachusetts Department of Correction, 1970 to 1980

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    Comparison of robust Poisson and log-binomial models in estimating risk ratio (RR) of ≥ 7 SABA canisters dispensed in the past year. (DOCX 12 kb
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