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The methodology characterized the formation lithology from Poisson's ratio and stress ratio value which is corrected and analyzed by two correcting constants, a and b.
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This novel methodology characterizes the material through the analysis of numerical simulations, without the cost of casting real elements, which notably simplifies the assessment of materials for use in new structural elements and geometries.
Specifically, this methodology characterizes the macro-scale structural behavior of the scaffold, and quantifies 3D stresses and deformations of the cells at the micro-scale and at a cellular level, wherein individual cell components are incorporated.
The objective of this study was to make nano-salbutamol sulphate (SBS) DPI, radiolabel it with Tc-99m using a novel surface labeling methodology, characterize the formulation and assess its in vitro and in vivo deposition in healthy human volunteers to estimate its bioavailability in the target area.
Simulations results demonstrated the appropriate performance of the proposed methodology characterized by the almost negligible computational time required.
The coupling of these two well-assessed techniques represents the main novelty of the present work and yields an experimental methodology characterized by several interesting features.
The proposed methodology characterizes a 2D microstructural morphology using a small set of microstructure descriptors covering features including material composition, dispersion status, and phase geometry, and then reconstructs statistically equivalent microstructures in a 3D space based on the 3D descriptors derived from 2D characterization and a few reasonable assumptions.
The CAAD methodology and a novel molecular framework were presented in part I. Part II focuses on a classification methodology to characterize the odour quality of molecules based on structure odour relation (SOR).
This work concerns the methodology of characterizing the deactivation of a catalyst by coke deposition.
This paper introduces the stochastic programming (SP) methodology to characterize the stochastic traffic.
The present paper proposes a new methodology to characterize the landslide susceptibility of Reggio Calabria territory.
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CEO of Professional Science Editing for Scientists @ prosciediting.com