Cerca risorse accademiche

Understanding how semantic information flow reorganizes market topology remains an open challenge in financial network analysis. Prior work typically emphasizes price correlations or sentiment polarity, but rarely quanti...

For strongly chaotic classical systems, a basic statistical–mechanical connection is provided by the averaged Pesin-like identity (the production rate of the Boltzmann–Gibbs entropy SBG=−∑i=1Wpilnpi equals the su...

Materie / parole chiave: ARNHEIM, RUDOLF; UNIVERSITY OF CALIFORNIA PRESS; 701.15 A748e

In this study, an Entropy Transformed Pareto Distribution (EnTrPD) was proposed to provide improved flexibility in modelling heavy-tailed behavior observed in data, and was subsequently applied to assess wealth inequalit...

Abstract For a single-structure deep learning fault diagnosis model, its disadvantages are an insufficient feature extraction and weak fault classification capability. This paper proposes a multi-scale deep feature fusio...

The maximum entropy method combined with a smoothing restriction was applied to the tomography of a BNC connector using five noisy radiographies from different rotating views. A heuristic control of the filter parameter ...

Fe–Mn based alloys with more 12% at. of Mn are usually called High-Mn steels. Several technological properties of High-Mn steels are explained by the presence of the fcc-hcp martensitic transformation. This transition ...

Background: Extreme heat poses growing public health challenges, particularly in rapidly urbanizing regions. Assessing heat vulnerability at the county level is crucial for guiding adaptation strategies. Methods: A count...

In this work we address the classical statistical mechanical problem of calculating the residual entropy of ice models. The numerical work found in the literature is usually based on extrapolating to infinite-size result...

High‐entropy alloys (HEAs) are emerging as promising candidates for advanced electrocatalysis due to their multi‐elemental compositions, tunable electronic structures, and remarkable stability. Recent advances in syn...

The aim of this paper is to further explore the usefulness of the two-dimensional complexity-entropy causality plane as a texture image descriptor. A multiscale generalization is introduced in order to distinguish betwee...

Consequent to the interaction potential model, the high-order elastic constants at high entropy alloys in single-phase quaternary ScTiZrHf have been calculated at different temperatures. Elastic constants of second order...

While heterostructured materials leveraging both continuous and discontinuous precipitation have been developed to enhance the mechanical properties of L12-strengthened high-entropy alloys, the pivotal role of the hard-t...

Previously obtained calculation data on the dependence of dynamic characteristics (lattice parameter (a) and Debye temperature ΘD) and experimental data on kinetic characteristics (resistivity ρ and mean free path of e...

In this paper, the influence of signal to noise ratio in the estimation of Permutation Entropy was studied upon signals obtained by simulations of a chaoticdeterministic system. Then, using a bootstrap scheme, we applied...

Land evaluation is an essential step in determining the potential use of marginal areas where agricultural productivity is limited by poor soil conditions. Coastal lands represent one of challenging environments, however...

Approximate entropy (ApEn) has been widely used as an estimator of regularity in many scientific fields. It has proved to be a useful tool because of its ability to distinguish different system’s dynamics when there is...

Abstract Background Circulating cell-free DNA (cfDNA) is a promising biomarker for non-invasive early cancer detection. We integrated methylation entropy, a measure of DNA methylation heterogeneity, with other cfDNA feat...

With the increasing demand for enhanced mechanical properties and energy release capabilities in energetic structural materials, traditional materials struggle to concurrently achieve both high mechanical properties and ...

We present the Bayesian estimation of Permutation Entropy. In particular, we studied the bias and the mean squared error in the entropy estimation when the length of the time series embedded in the m-dimension space is m...

A symbolic encoding scheme, based on the ordinal relation between the amplitude of neighboring values of a given data sequence, should be implemented before estimating the permutation entropy. Consequently, equalities in...

Introducing dislocations and nanoprecipitates is an effective strategy to strengthen alloys, but reliable bulk quantification of dislocation density and coherent nanoprecipitate content remains challenging. Here, FeCoNiA...

As a novel reactive damage material, high-entropy alloys (HEAs) have garnered widespread attention in the field of reactive damage in recent years due to their excellent mechanical properties and favorable energy release...

Abstract Owing to superior comprehensive performance than conventional superalloys at high temperature, refractory high entropy alloy (RHEA) is becoming a promising candidate for the next generation high-temperature mate...