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These include data collection both for statistical analysis and for identification of driving models and estimation of modelling parameters (calibration).
As part of the research process, quantitative data of land cover changes were paired with qualitative social assessment based on local inhabitants' perceptions of changes and identification of driving forces.
It is of particular relevance for intelligent vehicle functions and systems requiring the prediction of manoeuvres dynamics, identification of driving environment parameters and objects, and interaction with the driver.
Particularly, for such a conspecific weedy taxon that coexists in crop fields and has a close contact with its coexisting crop, the identification of driving forces that can influence genetic differentiation of weedy rice populations is important.
Although our data do not permit exact identification of driving forces behind these trends, they do permit some speculation.
The identification of driving genetic events for each subtype of cancer will be a critical step in the realization of personalized targeted medicine.
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Identification and evaluation of driving forces and trends as well as an evaluation of their potential impacts on future packaging was a key area of the work.
This model facilitates tracking divergent adaptive and speciational evolutions and the identification and ranking of driving forces of evolution, for example, mutation, genetic drift, gene flow, and natural selection.
The complementary use of an ecoprofile enables the valuation of green infrastructure elements and the identification of major driving forces along with scenario development for sustainable landscape planning.
By developing a framework that incorporates mutation frequencies of all integrations in both early- and late-stage tumors, we enhance the statistical power enabling the identification of known driving events in cancer and further implicate dozens of novel loci in the biology of lymphomagenesis, in some cases independently of evidence of clonal expansion.
Simulations of forest and agricultural ecosystems have produced large uncertainties regarding spatial and temporal variability of carbon dynamics, and identification of the driving forces of change [17 22].
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