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Algorithm 1 (see Appendix) shows the adaptations of the algorithm of Lee et al. [ 13] to produce a set of all suboptimal alignment paths P. Such a path consists of a tuple (s, L, r) where s denotes the score, L is a list of aligned node pairs and r indicates wether a gene order was aligned in its original or reversed orientation.
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This method is an adaptation of the algorithm proposed in [12], which was also applied to model EV uptake.
The adaptation of the algorithm to other types of vulnerabilities requires the definition of these three sets for each type of vulnerability.
The proposed system is demonstrated on a pair of hydrographic datasets, illustrating the adaptation of the algorithm to different depth- and sensor-driven data densities.
We report an adaptation of the algorithm of the Spectral-Projected-Gradient Method in order to achieve an efficient parallel implementation.
Advanced data interpretation approaches discussed are an adaptation of the algorithm of Dong and the estimation of factor effects from supersaturated design results.
The main contribution of this paper is the utilization of intersection between radio coverage of neighboring nodes in our modified SOM, and the adaptation of the algorithm to the mobility scenarios.
Actually, the most significant novelties introduced to the traditional calibration procedure deal with the adaptation of the algorithm and the putting into practice of both supervised and non-supervised web-based subtest administrations.
More specifically, two main goals are considered: (a) adaptation of the algorithm to the specific MCD target function and (b) comparison of this 'tuned' algorithm with the usual competitors for computing MCD.
This requires the adaptation of the algorithm to the negative binomial distribution with which we model the data.
A point-by-point review of the algorithm was undertaken to explore pathways, content, and supportive evidence and to elicit information for the cultural adaptation of the algorithm and related recommendations for Southeast Asian patients.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com