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This work took into account the following points: Variables for the surface treatment of leather a.
In this work, the resolution was set at 1.5 s and the number of data points (variables, defined as the signal at a given time on a given channel) obtained from one sample, using our current LCECA approach, was 66 000.
We defined the primary and secondary end points, variables of interest, and search strategy (databases, sources for unpublished data) in a strategy outline (details available on request).
For calculation of the sum score (0 18 points) variables were recoded into a 4-point scale, with 0 reflecting full range of motion and 3 points reflecting very poor range of motion.
For data with multiple time points, variables were analysed by the general linear model ANOVA and simple regression analyses were carried out by standard techniques 95% confidence intervals (CT) were calculated for regression coefficient.
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Hence, internally, each function will do all the operations with floating point variables avoiding overflow problems.
The main feature of AVX is the capacity to perform SIMD operations on 8 floating point variables in parallel – an increase from 4 floating point variables as possible using the previous SIMD Streaming Extensions (SSE).
The relative treatments and a higher precision of floating-point variables alleviated cancellation problems to some extent.
Partial derivative terms of several time-point variables substitute for the time derivatives of the converted general ordinary differential equation.
However, the convergence rate was not affected by the relative treatments or by the precision of floating-point variables.
In the implemented system, 64-bit fixed-point variables were used for the reference model, with 32 precision bits.
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