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Published in 2019 at "International Journal of Energy Research"
DOI: 10.1002/er.4954
Abstract: Lithium‐oxygen batteries are promising energy storage systems for electric vehicles owing to their very high specific capacity. In all of their components, the catalysts in the air electrode have a profound influence on its electrochemical…
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Keywords:
electrode catalyst;
oxygen batteries;
lithium;
cluster structure ... See more keywords
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Published in 2021 at "Plant molecular biology"
DOI: 10.1007/s11103-021-01183-3
Abstract: KEY MESSAGE Two opposing models for the amylopectin structure are historically and comprehensively reviewed, which leads us to a better understanding of the specific fine structure of amylopectin. Amylopectin is a highly branched glucan which…
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Keywords:
cluster structure;
model;
structure;
cluster ... See more keywords
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Published in 2018 at "Frontiers of Physics"
DOI: 10.1007/s11467-018-0846-3
Abstract: The study of cluster structures in light nuclei is extending to the heavy nuclei in these years. As for the stable N = Z nuclei, from the lighter 8Be, 12C nuclei to the heavier 20Ne…
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Keywords:
clustering effects;
cluster structure;
heavy nuclei;
cluster ... See more keywords
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Published in 2020 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2020.01.004
Abstract: Dynamic factor models provide a useful way to model large sets of time series. These data often have heterogeneity and cluster structure and the formulation and estimation of dynamic factor models should be adapted to…
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Keywords:
dynamic factor;
factor models;
series;
cluster structure ... See more keywords
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Published in 2020 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2020.116611
Abstract: There is great interest in elucidating the cluster structure of brain networks in terms of modules, blocks or clusters of similar nodes. However, it is currently challenging to handle data on multiple subjects since most…
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Keywords:
analysis;
cluster structure;
brain;
multi subject ... See more keywords
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Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-72593-4
Abstract: Deep neural networks are good at extracting low-dimensional subspaces (latent spaces) that represent the essential features inside a high-dimensional dataset. Deep generative models represented by variational autoencoders (VAEs) can generate and infer high-quality datasets, such…
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Keywords:
repeated inference;
cluster structure;
dynamics repeated;
cluster ... See more keywords
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Published in 2017 at "Low Temperature Physics"
DOI: 10.1063/1.4985983
Abstract: Infrared absorption spectra of n-hexanol isolated in an argon matrix are recorded at temperatures varying between 20 and 50 K. The temperature evolution of the recorded spectra across several spectral regions is analyzed. The experimental data…
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Keywords:
isolated argon;
hexanol cluster;
argon matrix;
cluster structure ... See more keywords
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Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2023.3264690
Abstract: For each partition of a data set into a given number of parts there is a partition such that every part is as much as possible a good model (an "algorithmic sufficient statistic") for the…
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Keywords:
structure function;
function;
cluster structure;
partition ... See more keywords