Sentence examples for embedded interactions from inspiring English sources

It is suggested that the transformation of wooded agricultural landscapes in the Sudano-Sahelian region is the outcome of historically and culturally embedded interactions between complex social, economic and ecological processes which operate at widely varying scales and which change over time; the implications hereof for modelling of global environmental issues is discussed.

For example, with 400 samples and an MAF of 0.2 and an FPR of 0.06% (subplot D), the power of metaBOOST for the five interaction models ranges from 0.80 to 0.90, suggesting the successful identification of the embedded interactions.

In contrast, the frameworks and approaches that are heavily invested in STS traditions and conceptual underpinnings provide methods designed to facilitate a better understanding of the context, boundaries and embedded interactions, such as the macroergonomics analysis and design of structure (MEAD) methodology (Kleiner 2003).

But what they all lack is proper, embedded interaction.

These results establish the existence of an embedded interaction between AMA1 and RON2 at the MJ, and reveal a different organization of the MJ in absence of AMA1.

Unfortunately, current proposals assume that objects interact by means of object-oriented method calls, which implies that they embed interactions with others into their functional code.

After the generation of simulated data, we applied BOOST to identify embedded epistatic interactions in the original case-control data and metaBOOST to identify epistatic interactions in the simulated metagenomic case-control data, and we present results in Figure 2, in which the power of a method on a model is defined as the proportion of the ground-truth epistatic interactions being identified.

The additional benefits of collaborating with external parties, including knowledge users, lie in the opportunity to access resources which are embedded in interactions outside one's usual social circles (Fu et al. 2012).

The research challenges lie in the development of real-time data-transmission, instantaneous analysis of data coming from different inputs, local intelligence in low power embedded systems, interaction with multiple on-site users, complex user interfaces, portability and wearability.

For Step 1, we did not embed any ground truth SNPs in the data sets; for Step 2, we embedded five interaction models in each data set; and for Step 3, we embedded five main-effect-only SNPs in each data set.

Furthermore, brain connectivity networks can be constructed from the tensor data, embedding subtle interactions between brain regions.