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Physica
North-Holland
Physica

North-Holland

0378-4371

Physica/Journal Physica
正式出版
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    Basis-independent quantum coherence and its distribution in spin chains with three-site interaction

    Yin, ShaoyingSong, JieLiu, ShutianWang, Yueyuan...
    10页
    查看更多>>摘要:Basis-independent coherence of spin-pairs and its distribution (collective and localized coherence) are studied in spin chains with three-site interaction. Firstly, we demonstrate that three kinds of coherence can correctly characterize the first-order quantum phase transition (QPT) induced by the anisotropy parameter, and the second-order QPT induced by the magnetic field and three-site interaction by their critical behaviors. Secondly, The triangle inequality between the basis-independent coherence and its distribution is verified, and the trade-off relations between the collective and localized coherence are captured by regulating the magnetic field. Lastly, we find that the collective coherence mainly contain the contributions from the classical and quantum correlations by virtue of the anisotropy parameter. (C) 2022 Elsevier B.V. All rights reserved.

    Modeling COVID-19 daily cases in Senegal using a generalized Waring regression model

    Gning, LucienNdour, CheikhTchuenche, J. M.
    10页
    查看更多>>摘要:The rapid spread of the COVID-19 pandemic has triggered substantial economic and social disruptions worldwide. The number of infection-induced deaths in Senegal in particular and West Africa in general are minimal when compared with the rest of the world. We use count regression (statistical) models such as the generalized Waring regression model to forecast the daily confirmed COVID-19 cases in Senegal. The generalized Waring regression model has an advantage over other models such as the negative binomial regression model because it considers factors that cannot be observed or measured, but that are known to affect the number of daily COVID-19 cases. Results from this study reveal that the generalized Waring regression model fits the data better than most of the usual count regression models, and could better explain some of the intrinsic characteristics of the disease dynamics. (C) 2022 Elsevier B.V. All rights reserved.