Meng H.Wang J.Fan X.Wang Q....
5页查看更多>>摘要：© 2022 Elsevier B.V.We investigate the formation and dynamic stabilities of vector gap solitons in a binary Bose–Einstein condensate (BEC) loaded in a honeycomb optical lattice. The existence of vector gap solitons is sensitive to the properties of intraspecies and interspecies atomic interactions. We numerically obtain the phase diagram for observing vector gap solitons on the parameter plane of intraspecies and interspecies atomic interactions. Particularly, it is found that the two components of vector gap solitons are always miscible with each other regardless of whether the intraspecies or the interspecies atomic interaction is dominant. We further verify the dynamic stabilities of these vector gap solitons, which depend on the location of soliton in the bandgap. These results have potential application to investigations of localized structures in nonlinear optics.
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NSTL
Zhang Y.Shang K.-K.Wang C.-J.Feng M....
5页查看更多>>摘要：© 2022 Elsevier B.V.For computational social scientists, cascade size prediction and fake news detection are two primary problems in news diffusion or computational communication research. Previous studies predict news diffusion via peeking the social process (temporal structure) data in the initial stage, which is summarized as Peeking strategy. However, the accuracy of Peeking strategy for cascade size prediction still should be improved, and the advantage or limitation of Peeking strategy for fake news detection has not been fully investigated. To predict cascade size and detect fake news, we adopt Peeking strategy based on well-known machine learning algorithms. Our results show that Peeking strategy can effectively improve the accuracy of cascade size prediction. Meanwhile, we can peek into a smaller time window to achieve a higher performance in predicting the cascade size compared with previous methods. Nevertheless, we find that Peeking strategy with network structures fails in significantly improving the performance of fake news detection. Finally, we argue that cascade structure properties can aid in prediction of cascade size, but not for the fake news detection.
原文链接:- NSTL
Nishiyama A.Tanaka S.Tuszynski J.A.
5页查看更多>>摘要：© 2022 Elsevier B.V.By employing numerical simulations we describe non-equilibrium processes leading towards the breakdown of symmetry within Quantum Brain Dynamics (QBD) in 2+1 dimensions. We adopt time evolution equations for coherent electric fields, dipole moment density and the time derivative of dipole moment density, and the Kadanoff–Baym equations for incoherent dipoles and photons. We show that the Bose–Einstein distributions apply to incoherent dipoles and photons in the time evolution. Triggered by nonzero initial electric field, the system's dipoles are aligned in the same direction. We argue that these results can be applied as representative for memory formations in QBD.
原文链接:- NSTL
Phillips J.C.Moret M.A.Zebende G.F.Chow C.C....
5页查看更多>>摘要：© 2022The novel coronavirus SARS CoV-2 responsible for the COVID-19 pandemic and SARS CoV-1 responsible for the SARS epidemic of 2002-2003 share an ancestor yet evolved to have much different transmissibility and global impact 1. A previously developed thermodynamic model of protein conformations hypothesized that SARS CoV-2 is very close to a new thermodynamic critical point, which makes it highly infectious but also easily displaced by a spike-based vaccine because there is a tradeoff between transmissibility and robustness 2. The model identified a small cluster of four key mutations of SARS CoV-2 that predicts much stronger viral attachment and viral spreading compared to SARS CoV-1. Here we apply the model to the SARS-CoV-2 variants Alpha (B.1.1.7), Beta (B.1.351), Gamma (P.1) and Delta (B.1.617.2)3 and predict, using no free parameters, how the new mutations will not diminish the effectiveness of current spike based vaccines and may even further enhance infectiousness by augmenting the binding ability of the virus.
原文链接:- NSTL
Saiyad G.Rathwa D.Srivastava M.
5页查看更多>>摘要：© 2022 Elsevier B.V.First and last mile connectivity are the most crucial elements of transit system. However, inadequate attention is given to such issues in developing countries like India. The present study aims to analyze feeder mode choice behavior of people accessing Delhi metro. Multinomial logit model and Artificial Neural Network are deployed to analyze the travel behavior. Findings suggest that ANNs are highly efficient in learning and recognizing connections between parameters for best prediction of an outcome. Since, utility of ANNs has been critically limited due to its ‘Black Box’ nature, the study involves the use of Garson's algorithm and Partial Dependence Plots for model interpretation. Findings of the study can be useful for policy makers and transport planners for improving service quality of existing feeder services and, establishing efficient feeder system that promote the use of transit.
原文链接:- NSTL
Ushcats S.Y.Labartkava A.V.Lazarenko M.M.Bulavin L.A....
5页查看更多>>摘要：© 2022 Elsevier B.V.Recent successes in approximate evaluations of high-order cluster integrals have greatly advanced the quantitative applicability of Mayer's cluster expansion for various statistical models of matter and even real substances. In this paper, the thermodynamics of the Ising model is represented in a general form of the virial series in powers of activity, which is not restricted by any special geometry or the simplification of nearest-neighbor interactions. In order to make the presented theoretical expressions applicable in quantitative studies, a number of techniques are considered, which approximate the unlimited (almost infinite) set of reducible cluster integrals, bn, based on only a few number of irreducible integrals, βk. Namely, such short βk sets are defined here for a number of magnetic models of various geometry, dimensionality, as well as interaction ranges (not limited by the nearest coordination sphere), and the calculations performed for these models in subcritical regimes (below the Curie point) indicate the adequacy of the proposed approach in general and good agreement with the known exact solution in a particular case of the two-dimensional square model with nearest-neighbor interactions. In addition, the quantitative similarity of subcritical magnetization curves is observed for all the considered models at the same values of a certain reduced temperature and the nature of this similarity may deserve further attentive studying.
原文链接:- NSTL
