The second algorithm (A 2), which exploits the path metrics from the Viterbi decoder to approximate the APPs, represents our main contribution.
Particularly, this third item represents our main scientific contribution, not only in terms of the MigBSP context, but also in a broader one that covers the entire BSP landscape.
The fifth annotation release (January, 2004) represents our final major contribution to the Arabidopsis genome reannotation effort and is the main focus of this manuscript.
These three components represent our valuable contribution to intercultural understanding.
In this issue we have selected novel and exciting contributions that represent our current landscape and illustrate new directions, highlighting their opportunities as well as their limitations.
Our approach represents a contribution for more universal applications in the scope of conservation and landscape planning, especially when fine resolution data is difficult to obtain due to resources constraints.
In the light of all these, our work represents a contribution and may attract more interest for other graph traversal algorithms.
Our experience represents a contribution towards the sustainability of the costs of cancer care and its value in cost-containment could be proven and better quantified through multicentric experiences on larger areas.
Our contribution represents a systematic study of optical layers fabricated by the annealed proton exchange (APE) method in various cuts (X, Y, Z) of lithium niobate that was doped in bulk with erbium (500 ppm) and mixture of erbium and ytterbium in weight portion 1 9 (1000 ppm).
More broadly, our contribution represents an initial guideline on how to effectively incorporate social media traces into predictive models of human mobility that can be further used to accurately describe epidemic outbreaks, manage disaster response, or plan urban services at appropriate spatial scales.
This represents a contribution that meets our long-term agenda, which consists in proposing a methodology to integrate behavioral models of human travelers reacting to traffic patterns and control measures of these traffic patterns, focusing on distributed and decentralized methods.
