When we used the phylogenies resulting from reanalyzes of the data of Messenger and McGuire (1998) [ 61], however, significance was lost in a higher number (although not the majority) of the hypotheses tests [see Additional files 10, 11, 12] and some character optimizations changed.
SEO Searchh engine optimization) will change as well.
Codon optimization and change could be used to improve significantly the efficiency of protein expression and improve the immunogenicity of the vaccine and opened up a new gene therapy technology (Zhou et al., 1999).
While considering the type of application, input and output of the problem, the nature of optimization problem changes.
Keeping in view the nature of the application, the sensing scenario and input/output of the problem, the type of optimization problem changes.
The proposed approach includes four main steps: (i) the initial screening of column chemistry, mobile phase pH and organic modifier, (ii) the selectivity optimization through changes in gradient time and mobile phase temperature, (iii) the adaptation of column geometry to reach sufficient resolution, and (iv) the robust resolution optimization and identification of the method design space.
The details of the optimization and changes in RCS are also provided in Supporting Information.
Based on the heart-lung interplay during mechanical ventilation, fluid optimization has changed from CO optimization (maximization) to monitor dynamic parameters of volume responsiveness [ 5, 6].
These rules are built and selected through an iterative process of creation, evaluation, modification, and inclusion or exclusion of rules that follow 4 basic forms (bioclimatic, atomic, negated, and logistic regression); this process stops when a maximum number of iterations (1,000) is met or an optimization parameter changes by <1% from 1 generation to the next.
As a termination criterion of the hybrid optimization, the changes in local optima are measured, e.g., the absolute value of the slope resulting from the linear regression of y = (f(Θ* k -4), f(Θ* k -3),... f(Θ* k )) T with respect to x = (1, 2,..., 5) T. If the absolute slope is less than a user-specified small value for a few further trials, the optimization can be terminated ultimately.
