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This semantic cluster provides interesting insights into who we, culturally, choose to believe and how we, systemically, regulate narratives and prioritize experiences.

At microscopic level it can reproduce the Zip's law for the word frequency distribution, at mesoscopic level it generates the scale-free distribution for the semantic cluster size and finally at macroscopic level it can reproduce the exponents of the out and in-degree distribution.

They included the CVLT, trial 1 score and semantic cluster ratio, and the WMS test of logical delayed recall.

These included the Weschler Memory Scale verbal delayed recall (p = 0.001), the semantic cluster ratio (p = 0.006), and list A, trial 1 (p = 0.037), from the California Verbal Learning Test.

GO term enrichment was performed using GOEast [ 62] and gene ontology (GO) terms with p < 0.05 (Benjamini-Yekutieli adjusted) were regarded as significantly enriched, clusters from significantly enriched GO term lists were created in ReviGO [ 27] with default semantic cluster settings (SimRel allowed similarity = 0.7).

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I-TWEC has the lexical and semantic clustering components implemented as two consecutive phases.

We introduce Semantic Clustering, a technique based on Latent Semantic Indexing and clustering to group source artifacts that use similar vocabulary.

We call these groups semantic clusters and we interpret them as linguistic topics that reveal the intention of the code.

Semantic clustering is an effective strategy to enhance encoding of verbal episodic memory (VEM) when word lists are semantically related.

We therefore studied children and adolescents with OCD during uncued semantic clustering strategy application in a VEM functional magnetic resonance imaging (fMRI encoding paradigm.

It consists of concepts (semantic clusters), and each concept is the system's piece of 'knowledge' about what the user is interested in.

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