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The conception of Cognofusion (see 'ABOUT') has been employed in developing the technique of 'Substructure Cohesion Analysis' (SCA). This is a sophisticated pattern analysis procedure developed by our group, and applied to digital images in order to identify/track most subtle disaggregations within a given structural environment (tissue material). Substructure Cohesion Analysis (SCA) focuses on assessing object alignment, object cohesion, and object separation (object model). It was pioneered in the diagnostic approach to malignant melanoma of the skin, one of the most devastating cancer conditions in mankind.

Once a suspicion has been verified, a tissue sample (biopsy) is taken and morphologically analyzed. Microscopic tissue slide images are then digitized, and cancer cells are labelled within the digital image(s), establishing a so-termed 'cytomatrix'. Specific sections of a given cytomatrix are then rendered to a growth simulation software, which allows to project the tumor's future proliferation kinetcs.

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Cognofusion is 'cognition' and 'fusion' in one. Example: To understand the specific meaning of a given word/phrase, it is required (1) to decompose ('molecularize') it into its distinct character components (cognition), and (2) to assess/determine how characters are ordered/arranged to constitute a meaningful/reasonable information to be conveyed by its use. Reversely, components need to be recomposed/reassembled to assure information integrity ("fusion"). Information being 're-encountered' at a later stage, can easily be processed ('re-cognition') by identifying its component container (word/phrase) only. In short: 'Analysis' and 'Assembling' are bidirectionally linked to each other, whenever it comes to information transfer.

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Objects are defined by properties and inter-relational positions. Basically, there is 3 object patterns only: Alignment, Cohesion, Separation (Reynolds 1987).

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Objects tend to align in order to array positions within a given space.

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Objects tend to cohere with one another for communication and interaction.

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Objects tend to separate from each other, thereby respecting empty spaces to keep the distance.

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