Sentence examples for understanding models from inspiring English sources

It is also critical to understand the consequences of LRRK2 overexpression for understanding models of LRRK2 PD, as all Drosophila, mouse and cell-based models published to date have relied on overexpression.

Cognitive aspects are of relevance for learning a design language, creating models with it, and understanding models created using it.

One example for differences in understanding models and results is the discussion about results from the NEMS model (see [78] and [79] for details).

Both individual modellers and ecological modelling in general will benefit from RA because RA helps with understanding models and identifying "robust theories", which are general principles that are independent of the idiosyncrasies of specific models.

As an alternative to simulating the neural field models an interface approach (incorporating feature space) may be more useful for understanding how local data can be integrated into global geometrical structures, as advocated in the neurogeometry framework of Petitot [33] (say for understanding models of contour completion in models of primary visual cortex where the feature space is orientation).

Additionally, an important contribution of this study was the identification of the factors that uniquely influence the decision of analysts to continue to use modeling, viz., communication (using diagrams) to/from stakeholders, internal knowledge (lack of) of techniques, user expectations management, understanding models' integration into the business, and tool/software deficiencies.

Despite their diversity, these approaches to urban energy system modelling share four common challenges in understanding model complexity, data quality and uncertainty, model integration, and policy relevance.

Additionally, the question of representation is not the only one germane to understanding model organism use.

High-priority recommendations are made in the following six strategic areas: observations, data, understanding, modelling, tools and education.

Evaluating simulation models for alternative compiler and operating system configurations is invaluable for understanding model performance constraints and for improving model robustness, portability, usefulness, and flexibility.

Agent-based models (ABMs) have tended to become more complicated in recent years, going along with challenges of fully understanding model behaviour.