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In addition, the statistical model enables to determine the response surface in order to predict the variation in response when the values of variables are modified.
Covariance function design and the similarity measurement of input variables are modified so as to improve the SOH estimate accuracy and adapt to the case of multidimensional input.
Existing theory is also ineffective because sequence coverage has not yet been considered [ 12]. †Some variables are modified with a "star" superscript to denote optima, for example σ* is the optimum sample size for a project, ρ* the optimum per-sample redundancy, and the discovery probability under optimal conditions.
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Therefore, relationships and coefficients describing these variables were modified so that output aligned with published experimental results.
Using computer simulation techniques, these variables were modified one by one to find the value that minimized energy consumption, while keeping thermal and visual comfort in the room.
To optimise the reaction and determine the reaction mechanism a series of studies were undertaken in which a range of variables were modified viz.
Several simulations on NACA 4415 airfoil were performed using Fluent 2D and the local variables were modified until the numerical aerodynamic coefficients matched the experimental one.
Simulation L indicated space closure treatment in the case of bilateral agenesis, and it was ranked lower than simulations M and N where other variables were modified such as restorative and periodontal procedures.
Categorical variables were modified to create new uniform categories across all studies.
Variables were modified and customized in consultation with study team cardiologists, internists, and nurses.
However, van Lenthe et al. (2005), in a study of neighbourhood unemployment and mortality in five European countries and the US, found no evidence that the association between these variables was modified by country context.
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