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This is the second of a series of two papers presenting a reliability based methodology to quantify the financial risks involved in an engineering process systems operation which can be represented as a flow of discrete entities.
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In this study, we have utilized an FPLC (fast protein liquid chromatography -based methodology to quantify free Trichromatography -basedlases (namethodology CBH II, and EG I) concentoation within a complex hydrolyzate mixture during the varying time course of biomass saccharification.
These limitations are addressed by a unique approach that recasts this organizational theory into an engineering-based methodology to quantify NAT complexities of computer-based systems.
We have presented a rule-based methodology to quantify the long-term physical and social sequestration potential of carbon plantations up to the end of the 21st century and their effectiveness in slowing down the increase in atmospheric CO2.
To achieve a comprehensive understanding of cellulase binding to pretreated lignocellulosic biomass during saccharification, we have utilized an FPLC-based methodology to quantify the CBH I, CBH II, and EG I free enzyme concentration within a complex hydrolyzate mixture [ 45, 46].
We developed a real-time quantitative RT PCR assay based on TaqMan methodology to quantify CCND1 mRNA in homogeneous total RNA solutions obtained from tumour samples (Gibson et al, 1996).
We used real-time quantitative PCR and RT PCR assays based on fluorescent TaqMan methodology to quantify CCND1 gene amplification and expression in a large series of breast tumours.
This paper proposes a novel probabilistic methodology to quantify the network reliability based on existing (diameter and efficiency) and new (eccentricity and heterogeneity) measures of connectivity that incorporate link and nodal weights and auxiliary nodes.
In the previous work, finite element calculation is compared against fire testing data; and based on these numerical and testing results, a methodology to quantify the structural integrity of composites under fire damage was presented.
Previously, we have established a computational method (CLASP) based on spatial and electrostatic properties for the detection of active sites, and a methodology to quantify promiscuity in proteins.
A methodology to quantify SCC mixture robustness is also proposed.
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