QuickTime takes care of the nitty-gritty details of retrieving the effect description, interpreting the effects track input map, and applying the effect to the source tracks over time.
To improve the size effect description for small sizes, the small-size asymptotics of the cohesive crack model is determined and a formula matching this asymptotics, as well as the large-size linear elastic fracture mechanics asymptotics, is presented.
For each effect type, we also specified an "effect target" (e.g., liver as target organ) and "effect description" (e.g., hypertrophy).
Effects are a combination of study type, species, effect type, effect target, and effect description for a given chemical, for example, chronic/cancer, rat, neoplastic pathology, liver, and adenoma.
We took a taxonomical approach for establishing the finalized effect vocabulary based on a three-tiered hierarchical model, with the effect type at the top, followed by effect target and then effect description.
Tap on a star icon near the effect description, and the effect will appear in the Favorites section.
In order to control for unintentional order effects, half the event descriptions were presented at pre-assessment and the other half were presented at post-assessment in a counterbalanced order.
In the design of controller for earthquake-excited building benchmark, it is common to inquire about the present relationships between controlled building performance and the considering soil foundation structure interaction (SFSI) effects for description of the earthquake excitation.
Covariates included demographic variables, such as sex and average age at admission, ED demand related variables, such as the referrals by the Primary Health Care network and the proportion of patients discharged home, and a week variable, to account for seasonal effects (a description of these variables is presented in Appendix 1).
The examples discussed are related to prediction of variant effects, but description of methods and evaluation measures is general and thereby not application domain specific.
To examine this, the first ANOVA investigated the main effects of Description (A versus B) and sequence (i.e. whether participants were in the group who received best or worst health descriptors first), and an interaction effect between them.
