Sentence examples for multiple mathematical models from inspiring English sources

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Most (96%) show a strong maternal bias which we demonstrate, via multiple mathematical models, pyrosequencing, and FISH, is not due to maternal decidual contamination.

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Another study, using multiple independent mathematical models in four settings-South Africa, Zambia, India, and Vietnam- concluded that early initiation of ART (at CD4 levels ≤500 cells/μL) is more cost-effective than late treatment [ 9].

As these systems are usually a composition of multiple processes, mathematical modeling is often applied to investigate processes of interest.

Also, using multiple regression analysis, mathematical models were developed for both the properties followed by their confirmation test results.

The present study investigates the issue of multiple sourcing and proposes mathematical models based on considering factors such as net price, transportation costs, inventory costs and shrinkage problems.

The resulting papers cover multiple salmonid species (chum salmon, chinook salmon, sockeye salmon, brook charr, brown trout, and rainbow trout), examine multiple anthropogenic impacts (climate change, hatcheries, habitat alteration, hydropower, selective harvesting), and employ multiple analytical approaches (reviews, syntheses, mathematical models, empirical analyses).

Multiple types of computational and mathematical models are used to describe heart function at different levels of details.

Despite a limitation in quantitative information and the many unknown parameters, theoretical and mathematical models for multiple phosphorylations were proposed [ 38- 40].

Intuition alone cannot grasp the effects of multiple regulatory interactions and thus mathematical models are particularly well suited for unraveling the implications of the underlying nonlinear interactions [ 10- 14].

The method introduced in this work provides the ability to study the system-level effects of combinations of drugs and use the data to select combinations that can lead to desired outcomes by comparing the mathematical models of multiple cellular types.

We draw upon multiple fields including mathematical modeling, microbial genetics, field epidemiology, statistical inference and biodesign to work on challenging problems in infectious diseases, with an emphasis on tuberculosis and tropical diseases.

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