In 22.1% and 22.8%, there was a decrease in proADM categories from admission to day 3 and from day 3 to day 6, respectively, and the proADM category increased in only 8.0% and 5.1%, respectively.
A related study [12] replicated the finding that the posterior occipital cortex shows a decrease in activation for category members relative to category non-members.
Respondents indicated a decrease in the Inclusion category – for example, when asked if people of all backgrounds can succeed at Stanford.
When comparing the frequency of maximal intensity of bleeding between 90-day reference periods 1 and 4, a substantial increase in the "no bleeding" category, i.e., women who never bled during the entire reference period (from 5.5 to 23.5% of women) and a decrease in the "heavy bleeding" category (from 9.8 to 2.2%) was shown (Fig. 3).
The pain category, for instance, saw a decrease in 1,826 daily doses, while the depression category saw a 265 daily dosage decrease.
For stages 2 and 3, with each increase in an SES category a decrease in the percent of patients was noted.
The increase comes mainly from reducing the number of people on Statutory Sick Pay (a decrease of 6%) and a decrease in numbers in the "other" category (not employed, and not receiving benefits or SSP) of 4%.
A pretest training posttest design was used to tap into the learning process, and development was predicted to occur mainly through increased sensitivity in the newly trained category boundary region, i.e. acquired distinctiveness, rather than through a decrease in sensitivity within the new categories, i.e. acquired similarity.
Despite such an advantage, Fuzzy ARTMAP suffers from a category proliferation problem, which leads to a high number of categories and a decrease in performance for unseen patterns.
The primary efficacy endpoint of this study was an improvement of HE, defined as a decrease in HE by at least two categories of severity.
