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Physicochemical data obtained under thermodynamic equilibrium and under kinetic conditions – imposed by flow through experiments – allowed the design of simple analytical methodologies where the solids were employed as fillings of microcolumns held in continuous systems coupled on-line to an atomic absorption spectrometry.
To link and quantify profits and costs, we proposed an "index of ecological two-sidedness" as the Ratio of CC to CP (i.e., RCC/CP), whose values can be combined using some modern mathematical methodologies, where the RCC/CP index matrix, WCC/CP, is defined as the index optimization matrix of CC divided by the index optimization matrix of CP.
Affinity-based enrichment distinguished cells are based on specific antigen expression methodologies, where the target cells are either labeled with a fluorescent/magnetic bead tag or directly captured on a stationary substrate.
Contrarily to the approaches found in supply-based methodologies, where the object of study remains the same and alternative analytical methods are employed, in demand, opting for a different method may change the scope of the analysis.
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Secondly, the validation methodology, where the actual WiMAX performance measurements are executed, will be discussed.
This paper presents a dynamic modular architecture methodology, where the modular architecture changes over the different product lifecycle phases.
We propose a novel methodology where the concept of services is considered as the peer of agents, ambience and processes.
Then, Sect. 3 presents the methodology, where the problem is formally posed along with the improvements, and the proposed optimization algorithm to calculate the paths.
This ontology is developed using the On-To-Knowledge methodology where the focus is on the design steps of the Knowledge Meta Process.
The highly branched poly urethane urea)s were synthesized using an A2+B3 methodology, where the A2 species is an oligomeric soft segment.
We mathematically formulated the problem using the state-space methodology, where the latent time-series was modeled as an ARMA p,q) driven by innovations correlated in time.
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CEO of Professional Science Editing for Scientists @ prosciediting.com