Sentence examples for interpretation activity from inspiring English sources
One of the next decade's scientific challenges consists of merging the scientific knowledge accumulated during the past 40 years into a reliable set of validated simulation tools, accessible and useful for ITER prediction and interpretation activity, as well as for the conceptual design of the future reactors.
The data collected during operation step provided input to the Analysis & interpretation activity.
Table 2 The activity bands used for TMACC descriptor interpretation Activity Threshold Colour ACE DHFR Very Positive 0.27 0.61 Blue Positive 0.074 0.072 Yellow Neutral 0.030 0.024 Green Negative 0.0078 -0.00012 Orange Very Negative -0.0033 -0.0089 Red.
Social desirability bias may be present in interpretation activities where participants were asked to interpret results in which many applied to shortfalls in healthcare although participants were informed at the start of the study that all perspectives were valuable.
As part of data analysis and interpretation activities, we are responsible for gathering and managing the data, performing initial quality control, and integrating data sources with data analysis tools across the DMPI research spectrum.
These were used for photogrammetric processing, as well as visual photo-interpretation activities.
In test 3, the learning and image-interpretation activities were separated over a number of weeks, and the test was performed twice over a period of 2 yr.
These issues, including recognition and stratification of high-risk populations, comparable remission and response criteria, and appropriate use and interpretation of activity and damage indices have been the subject of much discussion and emerging consensus.
We saw in the section just above how (vector) state spaces provide a natural interpretation for activity patterns in neural networks (biological and artificial).
high-level descriptions can be incorporated by a qualified expert; by sampling nonparametrically from the data, far less training data is required than is the case for standard, statistic-based learning techniques such as Hidden Markov Models (HMMs); probabilistic distributions prevent one from committing to a single interpretation of activity too early.
