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In recent years, several renewable energy potential mapping methodologies have been developed (e.g., solar irradiation and wind estimation, geothermal and biomass energy) [10 12].
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For the integral analysis of landscape, a mapping methodology has been set.
The concept mapping methodology had been used successfully in similar initiatives [ 17, 18, 21, 32].
A machine-driven 'cognitive mapping methodology' has been used to represent the multidimensional, non-linear, dynamic nature of clinical reasoning to confirm the importance of a sound knowledge base, as well as hypothesis generation and problem representation mechanisms.
Evidence that the distribution of BXD and F2 QTLs in our data is non-random derives from the fact that: A combination of stringently employed mapping and meta-analytical methodologies have yielded many pre-existing QTLs known to be involved in controlling prion incubation times.
Connectivity map data and associated methodologies have become a valuable tool in understanding drug mechanism of action (MOA) and discovering new indications for drugs.
Remote sensing provides the only feasible option for mapping LAI continuously over landscapes, but existing methodologies have significant limitations.
High throughput methodologies have been implemented for large scale TSSs mapping in E. coli using a tiled array approach [17].
In this regard, group concept mapping (GCM) methodology has been used to good effect for strategic complex planning in other diseases including dementia 19 in addition to intervention planning and treatment decisions in cancer.
Finding appropriate methodologies has not been easy.
"The literature and the methodology have advanced.
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