Sentence examples for modeling and potential from inspiring English sources

Researchers are applying stem cell technologies to chest medicine in a variety of ways: using stem cells as models for drug discovery, testing stem cell-based therapies for conditions as diverse as COPD and cystic fibrosis, and producing functional lung and tracheal tissue for physiologic modeling and potential transplantation.

Changes in self-efficacy were modeled using Hierarchical Linear Modeling, and potential predictors of change were assessed.

Poisson wavelets are radially symmetric basis functions that have localizing properties in both the spatial and frequency domains, which have been used extensively in regional gravity field modeling and potential field analysis (Tenzer and Klees 2008; Hayn et al. 2012; Bentel et al. 2013).

To this end, we define agent-based modeling and offer potential uses for it in typical evaluation activities, including: engaging stakeholders, selecting an intervention, modeling program theory, setting performance targets, and interpreting evaluation results.

Finally, the question of modeling failure kinetics and potential routes to the improvement of bond durability are considered.

The case-only approach has some apparent advantages over conventional time-series methods in assessing the interaction between a time-dependent variable and a time-fixed factor, such as practical simplification of modeling and reduction of potential time-invariant confounders related to death (e.g., smoking) [ 31, 32].

It is important to understand exactly how PAHs are transported into the plant root system and into the human food chain, since it is beneficial in governing crop contamination by PAHs, remedying soils or waters polluted by PAHs with plants, and modeling potential uptake for risk assessment.

The equivalent SBML format of the model was generated for distribution and potential use in other modeling environments (see Additional File 4).

These cases are designed for use in the evaluation of numerical methods proposed for climate modeling and to identify the potential trade-offs which must always be made in numerical modeling.

AI-assisted modeling and analysis have the potential to dramatically reduce the cost and risk of creating new innovations, helping transform companies into vast digitally-assisted test beds for human ingenuity.

In this review, we highlight the importance and potential of dynamic modeling in understanding and harnessing metabolic systems, in particular, for bioprocess optimization and metabolic engineering.