As they found more information, they tried to categorize them to derive a pattern to describe.
We thus need to structure and categorize them to be able to evaluate their difference in impact on risk coping capacity and vulnerability.
With ever increasing number of workflow repositories organizing and categorizing them to diverse need of user by manual means is a complicated job.
Named entity recognition (NER) is a task of detecting named entities in documents and categorizing them to predefined classes, such as person, location, and organization.
As the above social capital proxies are time-dependent (i.e. respondents' answers can vary from year to year), we summed the dichotomous (1 0) responses from years 2003, 2005 and 2007 and re-categorized them to reflect potential changes over time.
For the remaining 3 species, i.e. pig, canine, and rabbit, we could not find sufficient evidence to categorize them to either class (Wells et al. 2003; Vorberg et al. 2003; Lysek et al. 2005).
For those alleles with cytosine as the ancestral allele, we further categorized them as to whether their current major allele is cytosine or other base.
Accordingly, in this study, we have examined 15 cell profiles of each cell line and categorized them as to whether they contained predominantly normal or abnormally shaped mitochondria and autophagy-related structures.
In this study, we reviewed 75 FMEA papers published between 1992 and 2012 in the international journals and categorized them according to the approaches used to overcome the limitations of the conventional RPN method.
Thus, we conducted a comprehensive review of the literature to identify prior interventions intended to reduce hospital readmission, and categorized them according to the ten ITC domains for our secondary analysis.
EPIG used the profile's signal magnitude and signal-to-noise ratio to identify biologically significant genes and categorized them within patterns according to their correlation r-values.
