Sentence examples for hierarchical influence from inspiring English sources

Current research on the neural basis of language indicates that the left frontal cortex, especially Broca's area, plays a fundamental role in the organization of language as a whole (including the domains of semantics, syntax and phonology) as well as plans for action [48], [49], through its hierarchical influence over right frontal and left posterior linguistic areas.

Here we find that the parameters of the GPCR-mediated response can be dissociated to provide a hierarchical influence on function.

When investigations were expanded to the island scale contrasting hierarchical influences of local stressors were reported in accordance with geological reef structure.

Using multiscale data capable of capturing hierarchical landscape influences allowed production of accurate predictive models and provided further insight into factors controlling freshwater fish distributions.

Future studies to understand the hierarchical factors influencing social inclusion and health care delivery for PWPD are warranted in China.

The method used consisted of an initial identification of nutrient partitioning genes based on annotation and selection of genes that potentially participate in the grain-filling process by clustering of expression profiles via Self-Organizing Map (SOM), followed by hierarchical clustering influenced by the SOM gene ordering [ 2].

Correlations from related measures of incoming energy suggest energy limits evaporation in many cases, although other factors such as wind may potentially influence hierarchical and seasonal/phenological combinations.

These findings concur with the earlier reasoning regarding how a hierarchical structure can influence an employee's perception of a learning organization.

Weightings' obtained from the process of the hierarchical comparison is influenced by applying factors.

While the relative performance of the hierarchical model is influenced by biases within the fitting data, particularly for woodland and conifer species, our results suggest that poor representation of individual tree model error may lead to unrealistically high confidence in plot-scale estimates of biomass stocks derived from forest inventory data.

Behind the unified, hierarchical facade, contradictory influences are at work.