Sentence examples for model where certain from inspiring English sources

Exact(4)

At the same time we have the rise of the early access model where certain titles, especially in the indie community, remain largely unfinished for years.

This could lead to more of a consumption-based transaction model where certain types of brands big and small fight to be the best sources of full-service, programmatic data and services where the customer only pays when a user consumes their service.

In the future, it is likely that the CAG-model could evolve to an open model where certain patients can easily alternate ART access between individual care and a CAG.

The MCF-7 breast cancer cell line is a well-established in vitro model, where certain stimuli, such as heregulin (HRG)/neuregulin (NRG), can induce irreversible phenotypic changes that involve the massive accumulation of lipid droplets and were taken in previous publications as indicator of differentiation [ 4– 6].

Similar(56)

The gradual accumulation of mature miR-9 with increasing number of oscillatory cycles, combined with the dampening of Hes1 oscillations which occurs when miR-9 is overexpressed, lead us to propose a model where at a certain threshold level of miR-9, Hes1 oscillations stop, leading to increased probability of adopting a neuronal fate.

This is not a strength of standard approaches to the statistical analysis of computer models where a certain "best input" assumption is usually made and model discrepancy is often described through a stationary Gaussian process prior on the discrepancy function.

That will entail the creation of time series of models, where again certain aspects remain fixed and others vary.

The use of a range of model complexities and multiple models can be helpful in illustrating where certain modeling assumptions or implicit limitations are important to the interpretation of modeling results.

We develop a model where firms initially hold certain patents and undertake further R&D.

This is reflected in Figure 3, where certain model categories are densely populated, while others are sparse.

The shortcomings of using R 2 are discussed where certain models can have high R 2 values, yet the Akaike weight factors are very low as an indication of their poor performance.

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