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The dimensions of the etched microstructures were measured using the optical microscopic images at different stages of the etching process in order to optimize the lithographic conditions.
The current work tackles the problem of soil microbial growth and biofilm expansion assessment in infiltration percolation process in order to optimize the technique design and monitoring.
The objective of this work is to develop a multiphysics modeling process in order to optimize the design and achieve long lifetime, maintainability, and high reliability.
This is achieved through determining the selection and breakage function parameters and applying the mathematical simulation of the grinding process in order to optimize the size reduction process.
The results and methodology of this study can be employed during the formulation development process in order to optimize drug absorption, especially for CYP3A4 substrates.
Nevertheless there seems to be a lack of methodologies for supporting stakeholders in decisions related to the introduction of green vehicles, whose allocation should be performed since the network design process in order to optimize their available green capacity.
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This leads to better understanding of the melting and solidification processes in order to optimize future LHESS design.
It is possible that one or more of the endocytic modes described in this study contribute to these processes in order to optimize axon extension.
Additionally, the scale and implications of the current reforms in postgraduate medical curricula further justifies the analysis of the implementation processes in order to optimize the chances for successful implementation.
Consequently, the monitoring of dipeptide kinetics should be in the center of medium and process development in order to optimize each process considering cell-specific individuals and time-varying nutrient demands.
It is expensive and time-consuming to run experimental tests for all possible upstream process combinations in order to optimize the endpoint, rather it is much cheaper and faster to develop predictive models using computational intelligence (CI) which can be used as guidance tools in a competitive and rapidly changing environment.
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