Results 221 to 230 of about 338,331 (240)

Ultrathin Amphipathic Dual‐Polymer Networks: Unlocking Hyper‐Permeable CO2 Capture via Solvent‐Mediated Poly(Ethylene Oxide) Amorphization

Advanced Functional Materials, EarlyView.
Hydrophilic PEO‐copolymers and hydrophobic PDMS are physically integrated via a compatibilizing solvent into an amphipathic dual‐polymer network with versatile interfacial affinity and completely amorphized PEO segments for hyper‐permeable CO2 transport.
Ji Wu, Fan Feng, Baiwang Zhao, Jordan Yuan Zhe Ng, Kaiyu Wang, Can Zeng Liang, Guangtai Zheng, Boxuan Zhao, Tai‐Shung Chung, Sui Zhang   +9 more
wiley   +1 more source

Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites

Advanced Functional Materials, EarlyView.
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto, Javier Zamudio‐García, Abraham Sánchez‐Caballero, David Marrero‐López, Vincenzo Esposito   +4 more
wiley   +1 more source

Permutation Entropy: New Ideas and Challenges

Entropy, 2017
Over recent years, some new variants of Permutation entropy have been introduced and applied to EEG analysis, including a conditional variant and variants using some additional metric information or being based on entropies that are different from the ...
Karsten Keller
exaly   +2 more sources

Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine

Entropy, 2012
Bearing fault diagnosis has attracted significant attention over the past few decades. It consists of two major parts: vibration signal feature extraction and condition classification for the extracted features.
Jian-Jiun Ding, Chiu-Wen Wu, Shuen-De Wu   +2 more
exaly   +2 more sources

Predictability analysis of absence seizures with permutation entropy

Epilepsy Research, 2007
In this study, we investigate permutation entropy as a tool to predict the absence seizures of genetic absence epilepsy rats from Strasbourg (GAERS) by using EEG recordings. The results show that permutation entropy can track the dynamical changes of EEG
Gaoxiang Ouyang, Xiaoli Li
exaly   +2 more sources

Using Permutation Entropy to Measure the Changes in EEG Signals During Absence Seizures

Entropy, 2014
In this paper, we propose to use permutation entropy to explore whether the changes in electroencephalogram (EEG) data can effectively distinguish different phases in human absence epilepsy, i.e., the seizure-free, the pre-seizure and seizure phases ...
Gaoxiang Ouyang, Xianzeng Liu
exaly   +2 more sources

Application of Permutation Entropy and Permutation Min-Entropy in Multiple Emotional States Analysis of RRI Time Series [PDF]

Entropy, 2018
This study’s aim was to apply permutation entropy (PE) and permutation min-entropy (PME) over an RR interval time series to quantify the changes in cardiac activity among multiple emotional states.
Licai Yang, Luciano Zunino, Chengyu Liu   +2 more
exaly   +2 more sources

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Composite multi-scale phase reverse permutation entropy and its application to fault diagnosis of rolling bearing

Nonlinear Dynamics, 2022
Jinyu Tong
exaly  

Parameters Analysis of Sample Entropy, Permutation Entropy and Permutation Ratio Entropy for RR Interval Time Series

Information Processing and Management, 2020
Yungang Liu, Jian Yin, Yatao Zhang
exaly  

Early fault diagnosis of rotating machinery based on composite zoom permutation entropy

Reliability Engineering and System Safety, 2023
Zhiqiang Cai, Xianzhi Wang, Yongbo Li
exaly