A number of papers pertaining to some recent advances in theoretical development and practical application of information granularity in soft computing are highlighted in this special issue.
Nanoinformatics refers to the practical application of information technologies to gather, store, retrieve, and process information, data, and knowledge on the physicochemical characteristics of nanoparticles, nanomaterials, and nanodevices and their potential applications, especially in the biomedical field [ 1].
In addition, pharmacogenomics emerged as an ideal practical application of genetic information with analytical tools offering greater precision and lower costs to drug development and ultimately drug treatments.
A large number of genetic variants of uncertain functional significance have been identified due to the extensive sequencing being carried out, diluting the practical application of this valuable information [ 17, 18].
This pattern can vary from one El Niño event to another and over the course of an event, suggesting some of the difficulties in the practical application of climate forecast information in public health and other sectors.
However, practical application of genome-based information to medicine requires the disease risk to be predicted with high accuracy, while knowledge on genetics of common complex diseases is still insufficient to allow their accurate prediction solely from DNA data (Alaerts and Del-Favero 2009; Chung et al. 2010; Ku et al. 2010; McCarthy and Zeggini 2009).
Managing and manipulating uncertainty in spatial databases are important problems for various practical applications of geographic information systems.
Thus the treatments are effective holding actions while we await more practical applications of genetic information and (hopefully) the identification of unique bacterial pathogens, the removal of which would (as in peptic ulcer) truly produce cures.
The moments at which this happens are not regulated by traditional policies of humanitarian coordination or cluster mechanisms, but occur in the practical application of technologies to knowledge and information, what some scholars have termed moments of closure in humanitarian knowledge politics (Burns 2014).
Whether you believe that AR can save desk-less workers from losing their jobs to robots is one thing, but it's hard to argue against the practical application of AR to overlay and visualize information in jobs that require measurement, following specific task lists, finding items, and the like.
A key consideration for any practical application of network inference methods with prior information is the trade-off between recapitulating the prior, and discovering novel biology.
