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.
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NSTL
Elsevier
Duchowney, G.Naon, C.Iucci, A.
10页查看更多>>摘要：We study magnetic critical behavior in the two-dimensional Ashkin-Teller model with an asymmetric defect line. This system is represented by two Ising lattices of spins sigma and tau interacting through a four-spin coupling epsilon. In addition, the couplings between sigma-spins are modified along a particular line, whereas couplings between tau-spins are kept unaltered. This problem has been previously considered by means of analytical field-theoretical methods and by numerical techniques, with contradictory results. For epsilon > 0 field-theoretical calculations give a magnetic critical exponent corresponding to sigma-spins which depends on the defect strength only (it is independent of epsilon), while tau-spins magnetization decay with the universal Ising value 1/8. On the contrary, numerical computations based on density matrix renormalization (DMRG) give, for epsilon > 0 similar scaling behaviors for sigma and tau spins, which depend on both epsilon and defect intensity. In this paper we revisit the problem by performing a direct Monte Carlo simulation. Our results are in good agreement with DMRG computations. By reexamining the field-theoretical approach, we show how numerical and analytical results can be reconciled when a more general regularization prescription is adopted. (C) 2022 Elsevier B.V. All rights reserved.
原文链接:- NSTL
- Elsevier
Luo, RuifaGu, QiufanXu, TaorangHao, Huijun...
17页查看更多>>摘要：The stability of traffic flow reflects the ability to resist traffic perturbation and reveals the formation mechanism of congestion in a non-bottleneck link. To study the stability of mixed traffic flow in the non-fully connected and automated vehicles (CAVs) environment, this paper takes time delay, platooning intensity and CAVs degradations into consideration. Firstly, the vehicle types in the mixed traffic flow are analyzed considering degraded CAVs. Then time delays of different types of vehicles are discussed. The proportion of each type of vehicle under the influence of platooning intensity is determined. Based on this, the linear internal stability condition of mixed traffic flow is derived by using the characteristic equation-based method. The stability condition is related to CAVs degradations, time delay, and platooning intensity. In addition, the influence of CAV penetration rates, platooning intensity, and time delay on traffic stability are analyzed. Finally, the simulation experiments are carried out to verify theoretical results. The results show that: (1) CAV penetration rates and platooning intensity are conducive to maintaining the stability of the mixed traffic flow; (2) CAVs degradations and time delay have a negative effect on stability; (3) when the penetration rate of CAVs is more significant than 90.4%, the traffic flow is stable in the entire speed range. To a certain extent, these conclusions can enrich and expand the existing research results on the stability of the mixed traffic flow. (C) 2022 Elsevier B.V. All rights reserved.
原文链接:- NSTL
- Elsevier
Kassenova, T. K.Tsyba, P. YuRazina, O., VMyrzakulov, R....
11页查看更多>>摘要：This work is dedicated to the consideration of the construction of a representation of braid group generators from vertex models with N-states, which provides a great way to study the knot invariant. An algebraic formula is proposed for the knot invariant when different spins (N - 1)/2 are located on all components of the knot. The work summarizes procedure outputting braid generator representations from three-partite vertex model. This representation made it possible to study the invariant of a knot with multi-colored links, where the components of the knot have different spins. The formula for the invariant of knot with a multi-colored link is studied from the point of view of the braid generators obtained from the R-matrices of three-partite vertex models. The resulting knot invariant 52 corresponds to the Jones polynomial and HOMFLY-PT. (C) 2022 Elsevier B.V. All rights reserved.
原文链接:- NSTL
- Elsevier
Yu, ZhenhuaGao, HongxiaWang, DanAlnuaim, Abeer Ali...
12页查看更多>>摘要：Cyber-physical systems (CPSs) are new types of intelligent systems that integrate computing, control, and communication technologies, and bridge cyberspace and physical world. CPSs are widely used in many security-critical areas, but they are vulnerable to virus infections and malicious code attacks, which can cause damage to their functions and security incidents. To study the influence of malware on CPSs, this paper proposes a Susceptible-Exposed-Infected(1)-Infected(2)-Removed ((SEIRS)-R-2) model with different infection rates to study malware propagation in CPSs. First, we establish the nonlinear dynamic equation of malware propagation, and calculate the equilibria and basic reproduction number of the model. In addition, the local asymptotic stability and global asymptotic stability at the equilibria are proved by using Lyapunov theorem and Routh-Hurwitz criterion, and the transcritical bifurcation phenomenon is analyzed. Finally, we also carry out some simulations to simulate malware spreading in CPSs. The simulation results illustrate the existence of the equilibria, the stability and the transcritical bifurcation, which verify the effectiveness of the theoretical results. (C) 2022 Elsevier B.V. All rights reserved.
原文链接:- NSTL
- Elsevier
Nag, SayanBasu, MedhaSanyal, ShankhaBanerjee, Archi...
20页查看更多>>摘要：Music is often considered as the language of emotions. The way it stimulates the emotional appraisal across people from different communities, culture and demographics has long been known and hence categorizing on the basis of emotions is indeed an intriguing basic research area. Indian Classical Music (ICM) is famous for its ambiguous nature, i.e. its ability to evoke a number of mixed emotions through only a single musical narration, and hence classifying evoked emotions from ICM becomes a more challenging task. With the rapid advancements in the field of Deep Learning, this Music Emotion Recognition (MER) task is becoming more and more relevant and robust, hence can be applied to one of the most challenging test case i.e. classifying emotions elicited from ICM. In this paper we present a new dataset called JUMusEmoDB which presently has 1600 audio clips (approximately 30 s each) where 400 clips each correspond to happy, sad, calm and anxiety emotional scales. The initial annotations and emotional classification of the database was done based on an emotional rating test (5-point Likert scale) performed by 100 participants. The clips have been taken from different conventional `raga' renditions played in two Indian stringed instruments - sitar and sarod by eminent maestros of ICM and digitized in 44.1 kHz frequency. The ragas, which are unique to ICM, are described as musical structures capable of inducing different moods or emotions. For supervised classification purposes, we have used Convolutional Neural Network (CNN) based architectures (resnet50, mobilenet v2.0, squeezenet v1.0 and a proposed ODENet) on corresponding music spectrograms of the 6400 sub-clips (where every clip was segmented into 4 sub-clips) which contain both time as well as frequency domain information. Along with emotion classification, instrument classification based response was also attempted on the same dataset using the CNN based architectures. In this context, a nonlinear technique, Multifractal Detrended Fluctuation Analysis (MFDFA) was also applied on the musical clips to classify them on the basis of complexity values extracted from the method. The initial classification accuracy obtained from the applied methods are quite inspiring and have been corroborated with ANOVA results to determine the statistical significance. This type of CNN based classification algorithm using a rich corpus of Indian Classical Music is unique even in the global perspective and can be replicated in other modalities of music also. The link to this newly developed dataset has been provided in the dataset description section of the paper. This dataset is still under development and we plan to include more data containing other emotional as well as instrumental entities into consideration. (C) 2022 Elsevier B.V. All rights reserved.
原文链接:- NSTL
- Elsevier
Meroni, ViolaDe Michele, Carlo
8页查看更多>>摘要：Multiple testing corrections (MTC) are used to reduce type I error in a group of two or more tests, or when two or more tests address a common null hypothesis. The MTC methods available can be divided into two different families according to the control of type I error: (i) the family-wise error rate; (ii) the false discovery. Four MTC methods are investigated here, highlighting advantages and disadvantages in complex networks. We use a binarized precipitation network as illustrative case study. False discovery rate corrections seem to be a better option in complex network analyses. (C) 2022 Elsevier B.V. All rights reserved.
原文链接:- NSTL
- Elsevier
Wei, FengyingLiu, Fangfang
15页查看更多>>摘要：An epidemic model with the saturated incidence rate and the environmental fluctuations is investigated in this paper. We study the extinction and the persistence in the mean, and stationary distribution of the solution as well. By contradiction, we firstly show that stochastic epidemic model admits a unique global positive solution for any given positive initial value. Further, when (sic)(0) > 1 is valid, we derive the persistence in the mean, and also prove the existence of an ergodic stationary distribution by constructing moderate functions. By comparison theorem of stochastic differential equations and properties of inequalities, the extinction of the solution is finally derived when R-0 < 1 and nu < 0 hold, where nu indicates the exponential rate for decline. Meanwhile, the distribution for the density of the susceptible is estimated. As a consequence, numerical simulations and illustrative examples are separately carried out to support the main results of this paper. (C) 2022 Elsevier B.V. All rights reserved.
原文链接:- NSTL
- Elsevier
Wang, Ji-GuoLi, Yue-QingYang, Shi-Jie
9页查看更多>>摘要：We study the ground-state phases of spin-orbit coupled spin-3 Bose-Einstein condensates with the attractive and repulsive spin-singlet interactions, respectively. The competition between the interactions and spin-orbit coupling gives rise to abundant ground-state phases. For the system with the attractive spin-singlet interaction, a stripe phase is found with the weak spin-orbit coupling strength. The larger spin-orbit coupling drives the stripes to bend, which enhances the creation of the ring phase with the attractive spin-quintet interaction. Combining spin-orbit coupling and the repulsive spin-quintet interaction, two kinds of lattice phases are formed, namely the rectangular lattice and octagonal lattice phases. The system with the repulsive spinsinglet interaction possesses richer ground-state phases than the system dominated by the attractive spin-singlet interaction. Six distinct ground-state phases are identified, i.e., the stripe phase, the ring phase, the transition phase, the triangular lattice phase, the rectangular lattice phase and the octagonal lattice phase. These ground-state phase display a rich phase diagram. We compare the ground-state energies mutation point with the phase transition boundaries, and find that they are in good quantitative agreement. (C) 2022 Elsevier B.V. All rights reserved.
原文链接:- NSTL
- Elsevier
Venditti, ClaudiaAdrover, AlessandraGiona, Massimiliano
4页查看更多>>摘要：In his seminal work on stochastic particle transport in periodic potentials [1], claims that the overall energy, in underdamped conditions, plays the role of a slow dynamic variable, compared to position and velocity. The scope of this communication is to show that this claim is incorrect and that the conditions for the existence of a slow-invariant manifold fail in the low-friction limit. Nevertheless, the energy-based analysis developed by Risken to predict particle mobility remains substantially correct. (C) 2022 Elsevier B.V. All rights reserved.
原文链接:- NSTL
- Elsevier
