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A multi-step framework is proposed where the structure is first optimised using panel thickness and lamination parameters as continuous design variables.
Multiple linear regression models were subsequently used to examine the independent determinants of retinal microvascular geometric parameters as continuous variables.
Cox proportional hazards regression models were used to examine the effect of uptake parameters as continuous variables, and to estimate hazard ratios (HRs).
The relationships between metabolic parameters (as continuous variables) were tested using the Spearman rank correlation coefficient or the Pearson correlation coefficient as appropriate.
Multivariate analysis was undertaken using the biological parameters as continuous variables in combination with age, T stage and grade; CAIX and GLUT1 were entered both individually and together.
The relationships between biological parameters (as continuous variables) and T stage and grade were tested using one-way analysis of variance and the χ test.
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In this paper, three examples with continuous and discrete parameters as well as known solutions and varying degrees of complexities are presented as an illustration for solving a large class of process optimization problems in petroleum engineering.
The influence of some operating parameters such as continuous phase flow rate, nozzle diameter and mean droplet diameter on the separation efficiency is studied.
The complex two-phase flow in such a system is influenced by many parameters such as continuous phase velocity, temperature and relative humidity, drop size distribution, velocity and temperature of the droplets and continuous phase droplet and droplet droplet interactions.
When the optimization technique is based on the use of lamination parameters, the top level optimization has two subsets of design variables for each substructure (e.g., a panel in wing design): lamination parameters treated as continuous design variables, and three integers that define the number of plies of 0°, 90° and ±45° orientation.
Nonmonotonic associations with TCAA quartiles were also estimated for semen parameters modeled as continuous outcomes, although significant negative associations were estimated for all quartiles above the reference level for sperm motility.
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