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We specify this RBAC model with UML including three views: static view, functional view, and dynamic view.
From this point of view, functional evaluations of the effects of non-pharmacological intervention may be most suitable for these studies and provide more reliable indicators of the impact of this type of treatment (Coelho et al., 2015; Pelham et al., 2000; Sonuga-Barke et al., 2013; Young, 2013).
In fact, in support of this view, functional imaging experiments in behaving humans demonstrates that ongoing activity tends to suppress newly commanded behavioral output [10].
We used evolutionary principles and unique bioinformatics resources to reduce the size of candidate intervals and to view functional variation in the context of phylogeny.
In support of the latter view, functional molecular studies have established that various active TE families contain regulatory elements that affect transcription at neighboring genes or even beyond (for instance by promoting heterochromatin spreading, see e.g. [ 11]).
Mapping orthogonal sources of biological information onto PSNs then provides a powerful way to view functional trends across the set that can be interpreted in the context of their similarities.
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This paper presents the first version of our application, highlighting the different system views (functional, structural and behavioural).
First, in a free viewing functional magnetic resonance imaging (fMRI) experiment, we located main effects of synaesthesia in left superior parietal lobule and in colour related areas.
Our study suggests that children were as consistent as parents in reporting on symptom severity and functional impairment, and that both parents and children viewed functional impairment and FA as corresponding to severity of symptoms.
Second, although the PPI network provides a systematic view of functional similarities between genes, such genomic information as transcriptional regulation, noncoding RNA regulation, functional annotation, pathway annotation, and structure domain annotation also provides useful assessments on functional similarities between genes.
Bergström, A. et al. A high-definition view of functional genetic variation from natural yeast genomes.
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