Sentence examples for biological models based on from inspiring English sources

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From this point of view, logic is not just an auxiliary tool for analyzing biological models based on some external formalism, but becomes the core of a research program in which biological processes are the intended semantical interpretation of a non-classical logical system.

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The key to the next green revolution, Dr. Mundt said, will be abandoning most of the industrial model of agriculture of the 20th century and shifting to a "biological model based on management of ecological processes" like applying fertilizer and water only as needed.

There are ample examples of such innovations: the Shinkansen Bullet Train of the West Japan Railway inspired by the Kingfisher's beak, the Eastgate Building in Zimbabwe taking inspiration from termites' self-cooling mounds, and British Telecom using a biological model based on ant behaviour to overhaul its phone network.

The use of a unique biological model based on a specific mutation motif has confirmed that very low-level mtDNA variants (in the <1% heteroplasmy range) can be meaningfully resolved by massively parallel resequencing.

Numerical integration is the most common and straightforward approach in computational neuroscience for the study of biological neuron models based on ordinary differential equations.

Biological computation models based on bonds between nitrogen bases in nucleic acid chains that make up DNA structures can also be used to develop new solutions for smart information management.

InterMine not only comes with a number of 'core' biological data models based on SO terms and relationships that are indispensable, e.g. chromosomes, genes and proteins, but it also has the flexibility to include any other SO terms such as histone binding sites, introns and ncRNA as needed.

In particular, it contextualizes and provides a possible biological implementation for models based on maximizing expected value, such as model-based or hierarchical reinforcement learning (Ribas-Fernandes et al. 2011; Huys et al. 2012).

We utilize the resulting knowledge base for complex biological queries that can bridge levels of granularity, verify models based on the biological phenomenon they represent and provide a means to establish a basic qualitative layer on which to express the semantics of biosimulation models.

It also brings to bear new ways of using information technology, combined with mathematical models based on biological rather than physical processes.

Covariates were included in the multivariate models based on biological and statistical considerations.

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