A novel rough distance is introduced to measure the dissimilarity between base partitions and the notion of knowledge granulation is improved to measure the agglomeration degree of a given granule.
The objectives of sub-granule scale modeling are: (1) to predict one or more of the macroscopic properties from the knowledge of granule microstructure, and (2) to predict the effect of raw material properties and granulation process conditions on the microstructure.
Any set of all indiscernible objects is called an elementary set and forms a basic granule of knowledge about the universe.
The granule of knowledge passed on from the ancients that would make life simple, smooth, and effortless.
Being able to predict the properties of granules from the knowledge of the process and formulation variables is what most industries are striving for.
However, close inspection using optical microscopy revealed an unexpected variability in color between different support granules; to our knowledge this interparticle color heterogeneity has not been reported so far for supported metal catalysts.
The aim of the current study was to screen theophylline (125 mg) tablets manufactured via twin screw granulation in order to improve process understanding and knowledge of process variables that determine granule and tablet quality.
Knowledge of the composition of mRNP granules could be relevant to the understanding of mRNA transport.
Our growing knowledge on mathematical modeling of aerobic granule might facilitate the engineering and optimization of aerobic granular sludge technology as one of the most promising techniques in the biological wastewater treatment.
For this purpose, knowledge acquisition should provide for fuzzy information granules that can be naturally labelled by linguistic terms, i.e. symbols that belong to the natural language.
