Entropy  

Bingfeng Wang, Xianrui Yao, Chu Wang, Xiaoyong Zhang and Xiaoxia Huang

The equiatomic NiCrFeCoMn high-entropy alloy prepared by arc melting has a single crystallographic structure. Mechanical properties and microstructure of the NiCrFeCoMn high-entropy alloy deformed at high strain rates (900 s−1 to 4600 s−1) wer... see more

Teddy Craciunescu, Andrea Murari and Michela Gelfusa

A new measure for the characterization of interconnected dynamical systems coupling is proposed. The method is based on the representation of time series as weighted cross-visibility networks. The weights are introduced as the metric distance between conn... see more

Nicholas Derimow and Reza Abbaschian

It has been 14 years since the discovery of the high-entropy alloys (HEAs), an idea of alloying which has reinvigorated materials scientists to explore unconventional alloy compositions and multicomponent alloy systems. Many authors have referred to these... see more

Sanghita Mridha, Mageshwari Komarasamy, Sanjit Bhowmick, Rajiv S. Mishra and Sundeep Mukherjee

High entropy alloys (HEAs) have attracted widespread interest due to their unique properties at many different length-scales. Here, we report the fabrication of nanocrystalline (NC) Al0.1CoCrFeNi high entropy alloy and subsequent small-scale plastic defor... see more

Oscar A. Negrete, Francisco J. Peña and Patricio Vargas

In this work, we report the magnetocaloric effect (MCE) for an electron interacting with an antidot, under the effect of an Aharonov-Bohm flux (AB-flux) subjected to a parabolic confinement potential. We use the Bogachek and Landman model, which additiona... see more

Petros Gkotsis, Emanuele Pugliese and Antonio Vezzani

In this work we use clustering techniques to identify groups of firms competing in similar technological markets. Our clustering properly highlights technological similarities grouping together firms normally classified in different industrial sectors. Te... see more

Aldo C. Martínez, Aldo Solis, Rafael Díaz Hernández Rojas, Alfred B. U'Ren, Jorge G. Hirsch and Isaac Pérez Castillo

Pseudo-random number generators are widely used in many branches of science, mainly in applications related to Monte Carlo methods, although they are deterministic in design and, therefore, unsuitable for tackling fundamental problems in security and cryp... see more

Xiaohan Yang, Fan Li, Wei Zhang and Lijun He

Blind/no-reference image quality assessment is performed to accurately evaluate the perceptual quality of a distorted image without prior information from a reference image. In this paper, an effective blind image quality assessment approach based on entr... see more

Tingyu Zhang, Ling Han, Wei Chen and Himan Shahabi

The main purpose of the present study is to apply three classification models, namely, the index of entropy (IOE) model, the logistic regression (LR) model, and the support vector machine (SVM) model by radial basis function (RBF), to produce landslide su... see more

Angelica Sbardella, Emanuele Pugliese, Andrea Zaccaria and Pasquale Scaramozzino

Development and growth are complex and tumultuous processes. Modern economic growth theories identify some key determinants of economic growth. However, the relative importance of the determinants remains unknown, and additional variables may help clarify... see more

Nicholas V. Sarlis and Efthimios S. Skordas

A strong earthquake of magnitude M w 6.8 struck Western Greece on 25 October 2018 with an epicenter at 37.515 ° N 20.564 ° E. It was preceded by an anomalous geolectric signal that was recorded on 2 October 2018 at a measuring stati... see more

Karl Heinz Hoffmann, Kathrin Kulmus, Christopher Essex and Janett Prehl

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Jerzy W. Grzymala-Busse and Teresa Mroczek

As previous research indicates, a multiple-scanning methodology for discretization of numerical datasets, based on entropy, is very competitive. Discretization is a process of converting numerical values of the data records into discrete values associated... see more

Hugo Gabriel Eyherabide and Inés Samengo

The study of the neural code aims at deciphering how the nervous system maps external stimuli into neural activity—the encoding phase—and subsequently transforms such activity into adequate responses to the original stimuli—the decoding ... see more

Qing Wang, Zhen Li, Shujie Pang, Xiaona Li, Chuang Dong and Peter K. Liaw

High-performance conventional engineering materials (including Al alloys, Mg alloys, Cu alloys, stainless steels, Ni superalloys, etc.) and newly-developed high entropy alloys are all compositionally-complex alloys (CCAs). In these CCA systems, the second... see more

Marian Kupczynski

Bell-type inequalities are proven using oversimplified probabilistic models and/or counterfactual definiteness (CFD). If setting-dependent variables describing measuring instruments are correctly introduced, none of these inequalities may be proven. In sp... see more

Stanislaw Kukla and Urszula Siedlecka

In this paper, an investigation of the maximum temperature propagation in a finite medium is presented. The heat conduction in the medium was modelled by using a single-phase-lag equation with fractional Caputo derivatives. The formulation and solution of... see more

Sebastian Deffner

Recent experimental breakthroughs produced the first nano heat engines that have the potential to harness quantum resources. An instrumental question is how their performance measures up against the efficiency of classical engines. For single ion engines ... see more

Miguel Melgarejo and Nelson Obregon

Information production in both space and time has been highlighted as one of the elements that shapes the footprint of complexity in natural and socio-technical systems. However, information production in urban crime has barely been studied. This work cop... see more

Zhe Wu, Qiang Zhang, Lixin Wang, Lifeng Cheng and Jingbo Zhou

It is a difficult task to analyze the coupling characteristics of rotating machinery fault signals under the influence of complex and nonlinear interference signals. This difficulty is due to the strong noise background of rotating machinery fault feature... see more

Zhong Li, Chenxu Wang, Linye Yu, Yong Gu, Minxiang Pan, Xiaohua Tan and Hui Xu

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David Cuesta-Frau, Daniel Novák, Vacláv Burda, Antonio Molina-Picó, Borja Vargas, Milos Mraz, Petra Kavalkova, Marek Benes and Martin Haluzik

This paper analyses the performance of SampEn and one of its derivatives, Fuzzy Entropy (FuzzyEn), in the context of artifacted blood glucose time series classification. This is a difficult and practically unexplored framework, where the availability of m... see more

Grace Villacrés, Tobias Koch, Aydin Sezgin and Gonzalo Vazquez-Vilar

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Maurice A. De Gosson

We have shown in previous work that the equivalence of the Heisenberg and Schrödinger pictures of quantum mechanics requires the use of the Born and Jordan quantization rules. In the present work we give further evidence that the Born–Jordan ru... see more

Jie Liu and Zhao Duan

In this study, a comparative analysis of the statistical index (SI), index of entropy (IOE) and weights of evidence (WOE) models was introduced to landslide susceptibility mapping, and the performance of the three models was validated and systematically c... see more

Xingbin Liu, Di Xiao and Cong Liu

Quantum image encryption offers major advantages over its classical counterpart in terms of key space, computational complexity, and so on. A novel double quantum image encryption approach based on quantum Arnold transform (QAT) and qubit random rotation ... see more

Richard Cant, Ayodeji Remi-Omosowon, Caroline Langensiepen and Ahmad Lotfi

In this paper, a novel approach to the container loading problem using a spatial entropy measure to bias a Monte Carlo Tree Search is proposed. The proposed algorithm generates layouts that achieve the goals of both fitting a constrained space and also ha... see more

Julian Gonzalez-Ayala, Moises Santillán, Maria Jesus Santos, Antonio Calvo Hernández and José Miguel Mateos Roco

Local stability of maximum power and maximum compromise (Omega) operation regimes dynamic evolution for a low-dissipation heat engine is analyzed. The thermodynamic behavior of trajectories to the stationary state, after perturbing the operation regime, d... see more

Xuelian Zhou and Yongchuan Tang

As a typical tool of risk analysis in practical engineering, failure mode and effects analysis (FMEA) theory is a well known method for risk prediction and prevention. However, how to quantify the uncertainty of the subjective assessments from FMEA expert... see more

Paulina Trybek, Michal Nowakowski, Jerzy Salowka, Jakub Spiechowicz and Lukasz Machura

Information theory provides a spectrum of nonlinear methods capable of grasping an internal structure of a signal together with an insight into its complex nature. In this work, we discuss the usefulness of the selected entropy techniques for a descriptio... see more