Our study uses a new coalescent Bayesian method to generate information about human paleoanthroplogical populations.
However, when self-reported data are difficult or impossible to obtain, this is a valid method to generate information [ 9, 13].
The potential is seen as high for use of quantitative ecological methods to generate baseline environmental information as well as coarse predictions on likely consequences of development options, useful for environmental assessment.
Thus, in this work, we used a novel approach, implementing multiple computational methods to generate significant-novel-biological information regarding the molecular mechanisms underlying the role of nuclear receptor Nr2e1 in neocortex development.
In general, task realization methods for a mobile robot can be divided into two groups: 1) methods to generate motion reactively based on information from sensors (without developing a task plan) and 2) methods for which a task plan is developed before the robot starts to move based on this plan, called off-line plan.
Indeed, novel approaches that can re-assess GWAS results may provide an efficient method to generate novel information.
Availability of accurate land cover information over large areas is essential to the global environment sustainability; digital classification using medium-resolution remote sensing data would provide an effective method to generate the required land cover information.
We determined the most efficient method to generate global filters taking into account the anisotropy information.
Although Herves-Beloso and Monteiro (2012) provide a method to generate a sigma-algebra from a partition and another method for going in the opposite direction, we show that their two methods are in fact based on two different notions of information: (i) information as belief, (ii) information as knowledge.
Future applications of these methods will generate information for approaching a variety of topics of pressing concern to public health, including the potential impact of anthropogenic landscape change on human risk of exposure to zoonotic pathogens.
