Sentence examples for causal flow from inspiring English sources

SLH indicates the unidirectional causality from innovation to economic growth, DFH indicates the unidirectional causality from economic growth to innovation, FBH indicates the bidirectional causality between innovation and economic growth, and NEH indicates no causal flow between innovation and economic growth.

The collapse of the doctrine of one gene for one protein, and one direction of causal flow from basic codes to elaborate totality, marks the failure of reductionism for the complex system that we call biology -- and for two major reasons.

Finally, the study also found that there is a unidirectional causal flow from the increased number of both mobile and Internet users to the expansion of financial inclusion.

In addition, the empirical estimates posit a unidirectional causal flow from the growth of mobile and Internet services to expanded financial inclusion in the SAARC countries.

Kapogiannis et al. considered these dimensions as nodes of a network and examined the causal flow within and between such networks, together forming the individual's religious belief.

The results show that there is a distinct causal flow from electricity consumption to economic growth: both in the short run and in the long run.

To evaluate causal flows between ROIs, we computed pGC using Seth's Granger Causal Connectivity Analysis toolbox, based on multivariate vector autoregressive (MVAR) models including lags of multiple time-series [41], as described [42].

Most often these errors arise due to confusion between confounded and truly causal flows.

Second, they offer insights about the relationship among concepts by illustrating the causal logic flow, centrality, and strength of the association between concepts.

In order to derive networks of causal information flow, we calculated pairwise transfer entropies conditioned on the appropriate consensus sequence between all pairs of time-series X i,X j in the selected populations.

In the motor system, several studies have used DCM to detect causal information flow from secondary to primary motor areas during simple movements and bimanual coordination (Grefkes et al., Neuroimage, 2008).