All that agony of mortality-justto deal with the problem of entropy.
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Yet the increase of entropy, in this thinking, is what defines time.
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The second law of thermodynamics, entropy, tells us that all things deteriorate.
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Thus, motor learning can be conceptualised as a process of entropy reduction.
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We used maximum entropy modeling to estimate the potential distributions of Ae.
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Our hypothesis is that the informationentropy of HRV, a non-linear approach, is a suitable measure for this assessment.
Uso de shannon entropy en inglés
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Shannonentropy and Q-values were calculated for each gene, and 137 body-fluid-specific candidate genes were selected.
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The role of viral diversity in neutralization was estimated with the ShannonEntropy and the p-distance in viral quasispecies.
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We also give the complementary maximum entropy derivation of the same distributions by constrained maximization of the Gibbs- Shannonentropy.
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Three sequence-based diversity measures were calculated from the NGS sequence data (percent diversity, percent complexity, and Shannonentropy).
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By employing Shannonentropy, MED uses only the information-rich nucleotide positions across reads and iteratively partitions large datasets while omitting stochastic variation.
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Here we suggest a method based on weighted recurrence plots and show that the associated Shannonentropy is positively correlated with the largest Lyapunov exponent.
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The standard formulation of thermostatistics, being based on the Boltzmann-Gibbs distribution and logarithmic Shannonentropy, describes idealized uncorrelated systems with extensive energies and short-range interactions.