Sentence examples for interpreting interaction from inspiring English sources

Furthermore, the findings show that the most used implicit methods are interpreting interaction traces and translating learner's actions (used by six games, namely Prime Climb, Talking Island, Vectors in Physics and Mathematics, Balance game and ELEKTRA).

Developed using the ACT-R cognitive architecture, the model simulates the cognitive and perceptual operations involved in interpreting interaction graphs and provides a detailed characterisation of the information extracted from the diagram, the prior knowledge required to interpret interaction graphs, and the knowledge generated during the comprehension process.

After arcsine transforming survival probabilities and taking the logarithm of seed mass to improve inference and to normalize variables, all variables were standardized to means of zero and variance of two standard deviations to enable ease of interpreting interaction terms, and ensure that binary variables, such as slope, forest age, and tree size, retain a unit range [34].

Since the logit coefficient in the non-linear model cannot be used for interpreting interaction terms, we computed cross-partial derivatives to interpret the interaction terms [ 33, 34].

Given their high degree of sequence similarity, the structure of OmlA will be important for interpreting interactions BamE makes with other components of the BAM complex.

Accurately characterizing both social and physical exposures is a significant challenge that must be performed carefully, especially in light of potential confounding across the exposures of interest, before analyzing and interpreting interactions.

In all, the authors write, "These topics are exceedingly complicated, and accurately characterizing both social and physical exposures is a significant challenge, one which must be performed carefully... before analyzing and interpreting interactions".

Because of these very different physiologic sequelae, careful consideration of stress chronicity and of the relative chronicities of stress and pollution exposures is critical in accurately characterizing their interplay and in interpreting interactions.

Multiple regression statistical analysis was performed to interpret interaction effects of the variables.

To interpret interaction coefficients in the model, the STATA command lincom was utilized to calculate the odds ratios between specific groups and their associated confidence intervals.

In this study, five examples of interpreted interaction architecture were identified in well-known Jurassic aeolian units in the western United States.