Sentence examples for distributions robustness from inspiring English sources

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Compared with traditional entropy measures, survival information potential (SIP) has many advantages, such as validity in a wide range of distributions, robustness, the simplicity in computation, and so on.

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In this paper, we first define a notion of network entropy to macroscopically characterize distribution robustness with respect to the dynamics of energy flows.

Further studies with a focus on nucleation kinetics are now needed to determine how this process can be improved (yield, crystal size distribution, robustness) scaled-up and accelerated: for instance, by seeding the solution with pure urate oxidase crystal fragments or by concentrating the solution to increase the nucleation rate.

Stress responses play an important role in shaping species distributions and robustness to climate change.

However, we apply several different distributions as robustness checks (see Sect. 4.3).

We demonstrate, via simulation results, that the distributed systems when the clutter is modelled as positive alpha-stable distribution offer robustness properties against multiple target situations especially when using the "OR" fusion rule.

It shows that the proposed system can satisfy the agility, distribution, and robustness requirements.

Topics: distributed shared memory, object-oriented distributed system design, distributed directory services, atomic transactions and time synchronization, application-sufficient consistency, file access, process scheduling, process migration, and storage/communication abstractions on distribution, scale, robustness in the face of failure, and security.

We note that because of the very narrow distribution of robustness among random viable genotypes, this significant difference translates into a modest decrease in the absolute number of essential reactions in E. coli.

In all cases, the distributions of design robustness did not reach values larger than 0.2, thus confirming that the existence of critical TFs could not be explained by chance.

Repeating those simulations with the OSS2 model leads to essentially identical distributions, confirming the robustness of the present computational model.

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