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For each component within this diagram, established standards exist for formats, practices and methodologies which allow high levels of interoperability of data and its robust long-term preservation.
These issues raise the need for new methodologies, which allow the exploration of several solutions, to achieve a more optimal result.
As such, great effort has been invested in new methodologies which allow for the solution of larger and more complex problems of this nature.
Nevertheless, significant breakthroughs have been made in the development of computational methodologies which allow us to identify new driver mutations and genes by analyzing large sets of patients with different tumors [ 10].
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Here, we explore the design and use of AuNPs for their implementation in single cell detection methodologies, which allows for the real-time evaluation of drug delivery, drug efficacy, cell cycle perturbation, and cell death mechanisms.
The major advantage of the proposed system of models lies in the adoption of the activity-based travel approach combined with the conjoint use of the RP and SP methodologies, which allows a better understanding and prediction of users responses to travel demand management (TDM) measures.
Phosphoproteomics is a powerful methodology which allows this issue, so that patients will be benefited.
Therefore, a planning methodology which allows various levels of measurement data availability has been developed.
In this paper, we have presented a methodology which allows us to conduct integrating water economic analysis.
Laser ablation synthesis in solution (LASiS) is the methodology which allows to synthesize nanoparticles without interfering molecules.
This paper presents a methodology which allows a quick evaluation of different planning options for extensive areas.
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