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In a previous paper (Zong Z, Lam KY. Estimation of complicated disributions using B-spline functions. Structural safety 1998; 20(4): 323–32), we used a linear combination of B-spline functions to approximate complicated distributions.
In a previous paper (Zong Z, Lam KY. Estimation of complicated distributions using B-spline functions. Structural Safety 1998 20 323 32), we used a linear combination of B-spline functions to approximate a 1-dimensional or 2-dimensional complicated distribution.
We used a linear combination of B-spline functions defined by positioning equidistant knots along the peak regions.
We used a linear combination of the protein-expression values weighted by the regression coefficient to determine a hazard risk score (RS) for each patient (for details, see Methods section in the Supplementary Appendix).
As a scoring function, we used a linear combination of the weighted values of three complementarity scores for the hydrophobicity, the electrostatic potential, and the shape at the protein protein interface.
Fifth, although miRNA-205 is considered an independent risk factor for carcinomas, 5 8 12 recent studies have used a linear combination of several miRNAs rather than a unique miRNA to increase predictive power.
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This viability is determined herein using a linear combination metric, which combines efficiency and CO2 emissions.
As shown in Equation (9), our model combines similarity scores using a linear combination of vectors (equivalent to calculating a weighed arithmetic mean of scores obtained with each individual similarity measure).
They then use a linear combination of these principle components and patterns to identify an individual EP-El Niño centre for each climate model.
In previous studies, those impacts were neglected or simply represented using a linear combination in determining the importance of ECs.
The LSER method basely uses a linear combination of several solvatochromic indices of solvents to describe their physical properties.
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