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A modified cross viscosity model has been formulated to identify the filling capability of straight, reverse 'T' and cross '+' shape micro channel with various sizes.
Optimization problems also have been formulated to identify a better staffing mix for high technology companies [ 15– 17], call centers [ 18, 19], and healthcare providers [ 20, 21].
This concept has been formulated to identify the vulnerable physiological compartment masked from the systemic circulation and responsible for oxygen transport and cellular respiration that becomes dysfunctional in sepsis, and which can lead to organ failure (Fig. 1).
Several strategies based on genome-wide proteomics have also been formulated to identify binding sequences of particular PDZ domains by screening of random or genome-encoded peptide libraries in vitro [ 19, 20, 45].
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A non-linear programing problem is formulated to identify NCBC-parameters.
Initially, an integer optimization problem is formulated to identify optimal distributions of inputs and outputs (decentralized control configurations) that minimize the overall structural coupling in the network.
The blending model is formulated to identify a set of feasible mixture blends that satisfy the desirable target properties such as density and viscosity.
Also, a linear regression model is formulated to identify the geometric design and built environment characteristics affecting cyclist speeds on road segments.
Given a balanced set of process and utility streams, a mixed integer-linear transshipment model is formulated to identify an independent subsystem.
A general nonlinear parameter estimation problem was formulated to identify the kinetic parameters involved in the developed ALD gas surface reaction mechanism, governing ZnO film growth, from ex situ film thickness measurements.
Promoters were localized using a straightforward scoring strategy that was formulated to identify similar motifs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com