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This study suggests that contextual activation of the ERK pathway results in different effects on cell phenotype, depending on the geometry and composition of the ECM.
This approach retains contextual activation information and distinguishes distinct signals passing through a single component.
Our Boolean approach retains contextual activation information and avoids inappropriate pathway crosstalk, even when the signal passes through shared components.
Taken together, we present a bipartite Boolean modelling approach that retains contextual activation information, can be used without parameterisation, and largely avoids the combinatorial complexity.
The competence model refers to the knowledge the professionals have; the performance model refers to the contextual activation of such knowledge, required to carry out the job.
Taken together, we (i) present a bipartite Boolean modelling approach that retains contextual activation information, (ii) provide software support for automatic model generation, visualisation and simulation, and (iii) demonstrate its use for iterative model generation and validation.
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This bipartite Boolean modelling approach retains the contextual information on activation and distinguishes distinct signals passing through the same component.
If lexical processing and discourse processing have an interactive relation, we would expect early contextual influence on semantic activation.
Among studies that used homographs as stimuli, Wu and Shu (2002) stood out as the only study that observed early contextual influence on semantic activation.
Previous studies demonstrating parahippocampal activation during contextual associations have used behavioural tasks that required subjects to attribute explicit attention to context-related information in the stimuli used [11], [14].
We argue here that the contextual influences on brain activation are related to phonological and semantic levels.
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