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Published in 2017 at "Journal of Differential Equations"
DOI: 10.1016/j.jde.2017.01.008
Abstract: Abstract The notions of shadowing, specification and gluing orbit property differ substantially for discrete and continuous time dynamical systems. In the present paper we continue the study of the topological and ergodic properties of continuous…
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Keywords:
gluing orbit;
orbit property;
topological features;
flows reparametrized ... See more keywords
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Published in 2022 at "Microscopy and Microanalysis"
DOI: 10.1017/s1431927622001805
Abstract: The sensitive coherent interference of electron waves arising from a specimen is useful for revealing subtle structural information in electron micrographs, which can be important for minimising dose and for rapid imaging. In general, dynamical…
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Keywords:
volume imaging;
topological features;
imaging tracking;
tracking sparse ... See more keywords
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Published in 2022 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.1c00504
Abstract: Deep learning methods provide a novel way to establish a correlation between two quantities. In this context, computer vision techniques such as three-dimensional (3D)-convolutional neural networks become a natural choice to associate a molecular property…
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Keywords:
neural networks;
molecular topological;
convolutional neural;
dimensional convolutional ... See more keywords
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Published in 2021 at "Physical review. E"
DOI: 10.1103/physreve.103.032207
Abstract: By characterizing the phase dynamics in coupled oscillators, we gain insights into the fundamental phenomena of complex systems. The collective dynamics in oscillatory systems are often described by order parameters, which are insufficient for identifying…
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Keywords:
time;
topological features;
phase dynamics;
dynamics coupled ... See more keywords
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Published in 2020 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2020.2989315
Abstract: The functional connectivity provides new insights into the mechanisms of the human brain at network-level, which has been proved to be an effective biomarker for brain disease classification. Recently, machine learning methods have played an…
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Keywords:
network;
disease classification;
brain disease;
topological features ... See more keywords
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Published in 2022 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2022.1024205
Abstract: With the development of network science and graph theory, brain network research has unique advantages in explaining those mental diseases, the neural mechanism of which is unclear. Additionally, it can provide a new perspective in…
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Keywords:
persistent topological;
brain;
topological features;
method ... See more keywords
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Published in 2022 at "Materials"
DOI: 10.3390/ma16010242
Abstract: The electronic and band structures of ternary RNiSb and binary RSb compounds for R = Tb, Dy, Ho, have been investigated using an ab initio method accounting for strong electron correlations in the 4f shell…
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Keywords:
rsb;
common topological;
topological features;
rsb compounds ... See more keywords