Sentence examples for multiple interaction models from inspiring English sources

The approach is based on a framework that contains multiple interaction models to express both system elements and users' knowledge.

Both a sphere plane Lifshitz van der Waals interaction model with linear increase of the Hamaker constant with λ and a sphere-inner cylinder multiple interaction models are chosen for polymethacrylates and proteins.

Also, the simulation tools allow users to embed multiple interaction models within each data set.

Third, note that each data set contains multiple interaction models, with the detection power measured separately for each model.

For example, a common practice is to include only a single interaction model in the data [ 32- 39, 39, 41, 50], whereas common diseases are usually complex, with multiple genetic causes [ 28], suggesting that multiple interaction models should be present.

Another source of false positives is commonly occurring detections from multiple overlapping interaction models.

We estimated overall and sex-specific associations between phthalate concentrations and behavior using adjusted multiple regression interaction models.

These include an alternative way to identify risk categories associated with multi-locus genotypes, the flexibility to use any outcome type, the possibility to correct for lower order effects, covariates or confounding factors, the possibility to assess significance of multiple higher-order interaction models.

We formulate a more challenging, yet more realistic situation than most previous studies by including multiple ground-truth interaction models in each simulated data set.

This is very significant because (1) they have been reported in large studies that included replication in independent samples [ 22, 23], and (2) our study is of sufficient power, we performed analyses for multiple inheritance and interaction models and we used the most powerful tests [ 15, 16].

In this context, using realistic energy network topologies, the role of different subsystems and their uncertainties in corresponding interaction models among multiple systems should be evaluated; e.g. renewable DGs, traffic flow, weather conditions, energy markets and demand response.