显示样式： 排序： IF:  GO 导出

An analysis of network filtering methods to sovereign bond yields during COVID19 Physica A (IF 2.924) Pub Date : 20210409
Raymond KaKay Pang, Oscar M. Granados, Harsh Chhajer, Erika Fille T. LegaraIn this work, we investigate the impact of the COVID19 pandemic on sovereign bond yields. We consider the temporal changes from financial correlations using network filtering methods. These methods consider a subset of links within the correlation matrix, which gives rise to a network structure. We use sovereign bond yield data from 17 European countries between the 2010 and 2020 period. We find the

Modeling and analysis of the effect of COVID19 on the stock price: V and Lshape recovery Physica A (IF 2.924) Pub Date : 20210415
Ajit Mahata, Anish Rai, Md. Nurujjaman, Om PrakashThe emergence of the COVID19 pandemic, a new and novel risk factor, leads to the stock price crash due to the investors’ rapid and synchronous selloff. However, within a short period, the quality sectors start recovering from the bottom. A stock price model has been developed to capture the price dynamics during shock and recovery phases of such crisis. The main variable and parameter of the model

A random walk Monte Carlo simulation study of COVID19like infection spread Physica A (IF 2.924) Pub Date : 20210415
S. Triambak, D.P. MahapatraRecent analysis of early COVID19 data from China showed that the number of confirmed cases followed a subexponential powerlaw increase, with a growth exponent of around 2.2 (Maier and Brockmann, 2020). The powerlaw behavior was attributed to a combination of effective containment and mitigation measures employed as well as behavioral changes by the population. In this work, we report a random walk

How long does one wait at a traffic congestion? Physica A (IF 2.924) Pub Date : 20210401
Subinay DasguptaSuppose a wide road is somehow constricted at one place, allowing only one car at a time. Unless the traffic is very sparse, the vehicles will gather before the constriction and a given car will have to wait till it gets a chance to pass through. At a time which car will exit? Perhaps it is the one, with a driver who can jostle and aggressively put its nose into the constriction. We assume that the

Bifurcation control of optimal velocity model through anticipated effect and response timedelay feedback methods Physica A (IF 2.924) Pub Date : 20210407
Xueyi Guan, Rongjun Cheng, Hongxia GeIn order to further improve the adaptability of the optimal velocity model (OVM) in actual traffic flow, the paper introduces a feedback control with considering both driver’s anticipated time and response timedelay. Through the linear analysis and bifurcation analysis, we obtain stability conditions and the balance point of dual timedelay control OVM. Aiming at restraining the Hopf bifurcation caused

Entanglement and quantum strategies reduce congestion costs in Pigou networks Physica A (IF 2.924) Pub Date : 20210415
Naini Dudhe, Colin BenjaminPigou’s problem has many applications in real life scenarios like traffic networks, graph theory, data transfer in internet networks, etc. The two player classical Pigou’s network has an unique Nash equilibrium with the Price of Stability and Price of Anarchy agreeing with each other. The situation changes for the k person classical Pigou’s network with n being the total number of people. If we fix

Reductionconsistent CahnHilliard theory based lattice Boltzmann equation method for N immiscible incompressible fluids Physica A (IF 2.924) Pub Date : 20210415
Lin Zheng, Song Zheng, Qinglan ZhaiWhen some fluid components are absent from N (N ≥ 2) immiscible fluids, the reductionconsistent property should be guaranteed. In phasefield theory, the evolution of fluidfluid interface in N immiscible fluids can be captured by a reductionconsistent CahnHillard equation (CHE), which has a variable dependent mobility. However, it is difficult for lattice Boltzmann equation (LBE) method to solve

A Schelling model with a variable treshold in a closed city segregation model. Analysis of the universality classes Physica A (IF 2.924) Pub Date : 20210415
Diego Ortega, Javier RodríguezLaguna, Elka KorutchevaResidential segregation is analyzed via the Schelling model, in which two types of agents attempt to optimize their situation according to certain preferences and tolerance levels. Several variants of this work are focused on urban or social aspects. Whereas these models consider fixed values for wealth or tolerance, here we consider how sudden changes in the tolerance level affect the urban structure

Spectral analysis of the collective diffusion of Brownian particles confined to a spherical surface Physica A (IF 2.924) Pub Date : 20210415
A. MontañezRodríguez, C. Quintana, P. GonzálezMozuelosA more fundamental understanding of nonequilibrium phenomena involving fluids confined to restricted geometries presents indeed a difficult challenge. Here we explore a novel approach to describe the collective diffusion of Brownian particles confined to a spherical surface by adapting the dynamic density functional theory (DDFT) to this geometry. The ensuing diffusion equation is then transformed

Detrended multiple crosscorrelation coefficient with sliding windows approach Physica A (IF 2.924) Pub Date : 20210402
E.F. Guedes, A.M. da Silva Filho, G.F. ZebendeIn this paper we implemented the detrended multiple crosscorrelation coefficient with sliding windows approach in order to measure multiple crosscorrelation between time series as a function of time scale n, and a sliding time τ. Faced with several nonstationary time series, a fixed size window will be defined by w, and the coefficients DMCx2 are calculated for different time scales (4≤n≤w4) and

Advanced strategies of portfolio management in the Heston market model Physica A (IF 2.924) Pub Date : 20210331
Jarosław Gruszka, Janusz SzwabińskiThere is a great number of factors to take into account when building and managing an investment portfolio. It is widely believed that a proper setup of the portfolio combined with a good, robust management strategy is the key to successful investment. In this paper, we aim at an analysis of two aspects that may have an impact on investment performance: diversity of assets and inclusion of cash in

Model of cunning agents Physica A (IF 2.924) Pub Date : 20210407
Mateusz DenysA numerical agentbased spin model of financial markets, based on the Potts model from statistical mechanics, with a novel interpretation of the spin variable (as regards financialmarket models) is presented. In this model, a value of the spin variable is only the agent’s opinion concerning current market situation, which he communicates to his nearest neighbors. Instead, the agent’s action (i.e.

Fractal networks with Sturmian structure Physica A (IF 2.924) Pub Date : 20210407
Cheng Zeng, Yumei Xue, Yuke HuangMany real complex networks behave similarly with the scalefree and the smallworld properties. In this paper, we create a special hierarchical network with the Fibonacci word. This network is selfsimilar on some scales due to Fibonacci word’s recurrence property. Based on the construction of the graph, we study the clustering coefficient, the average path length and the cumulative degree distribution

Analysis of stock market efficiency during crisis periods in the US stock market: Differences between the global financial crisis and COVID19 pandemic Physica A (IF 2.924) Pub Date : 20210331
SunYong ChoiIn this study, we test the efficient market hypothesis for a number of sectors in the US stock market during the COVID19 pandemic to identify its effects on individual sectors. To test this hypothesis, we define the average price for 11 sectors within the S&P 500 and apply multifractal detrended fluctuation analysis to the average return series. Furthermore, we also investigate these sectors’ efficiency

Investigation of PM emissions in cellular automata model with slowtostart effect Physica A (IF 2.924) Pub Date : 20210407
Yanfeng Qiao, Yu Xue, Xue Wang, Bingling Cen, Yi Wang, Wei Pan, Yanxin ZhangIn this paper, combining with the empirical particulate emission model, we studied Particulate Matter (PM) emission of two typical cellular automata traffic models (VDR and TT models) with slowtostart rules under periodic boundary condition and open boundary condition. Numerical simulations show the two slowtostart models have different emissions under the same initial and boundary conditions.

A multiscale symmetry analysis of uninterrupted trends returns in daily financial indices Physica A (IF 2.924) Pub Date : 20210329
C.M. RodríguezMartínez, H.F. CoronelBrizio, A.R. HernándezMontoyaWe present a symmetry analysis of the distribution of variations of different financial indices, by means of a statistical procedure developed by the authors based on a symmetry statistic by Einmahl and Mckeague. We applied this statistical methodology to the here introduced financial uninterrupted daily trends returns and to other novel multiscale observable defined as trend returns divided by their

Moment method for the Boltzmann equation of reactive quaternary gaseous mixture Physica A (IF 2.924) Pub Date : 20210319
Neeraj Sarna, Georgii Oblapenko, Manuel TorrilhonWe are interested in solving the Boltzmann equation of chemically reacting rarefied gas flows using the Grad’s14 moment method. We first propose a novel mathematical model that describes the collision dynamics of chemically reacting hard spheres. Using the collision model, we present an algorithm to compute the moments of the Boltzmann collision operator. Our algorithm is general in the sense that

Opinion dynamics in modified expressed and private model with bounded confidence Physica A (IF 2.924) Pub Date : 20210401
Jian Hou, Wenshan Li, Mingyue JiangIn a social network, an individual may express an opinion against his/her own private opinion. Moreover, during the evolution of opinion dynamics, an individual may only accept parts of opinions that are similar to his/her own opinion. These phenomenons bring new challenges to the study of the opinion dynamics. In this paper, we propose a modified expressedprivateopinion (MEPO) model with bounded

Benford’s laws tests on S&P500 daily closing values and the corresponding daily logreturns both point to huge nonconformity Physica A (IF 2.924) Pub Date : 20210329
Marcel Ausloos, Valerio Ficcadenti, Gurjeet Dhesi, Muhammad ShakeelThe socalled Benford’s laws are of frequent use to detect anomalies and regularities in data sets, particularly in election results and financial statements. However, primary financial market indices have not been much studied, if studied at all, within such a perspective. This paper presents features in the distributions of S&P500 daily closing values and the corresponding daily logreturns over

The lead–lag relationship between Chinese mainland and Hong Kong stock markets Physica A (IF 2.924) Pub Date : 20210405
Xianghui Yuan, Liwei Jin, Feng LianWith the integration of international financial markets, the links between stock markets have become closer. Firstly, based on oneminute highfrequency returns, this paper applies the thermal optimal path (TOP) method to examine the lead–lag dependence between CSI 300 index and HSI index from 2016 to 2020. Secondly, regression analysis and correlation test are applied to crossverify the results of

Coin wear: A power law for small shocks Physica A (IF 2.924) Pub Date : 20210403
Arnaud Manas, François R. VeldeThe study of coin wear is useful for numismatics and economics. We examine a 19th century gold coin with a SEM and show that weight loss is due to a large number of small shocks that follow a truncated power law. Under the compound Poisson process we propose, weight loss over time is nearly deterministic in the proportion of time actually spent in circulation.

Scaling feature of nanoscale friction based on the inverse statistical approach Physica A (IF 2.924) Pub Date : 20210401
B. Hosseini Tely, S. Hosseinabadi, L. Farhang Matin, G.R. JafariFriction is known as a scaling phenomenon between rough surfaces. However, at the atomic scales, thermal fluctuations could be appreciated to scaling features. Previous studies revealed global information about the nanofriction fluctuations and showed that the fluctuations are multiaffine and correlated, and cannot be described by a white noise. In the present study, we are looking for local criteria

Cascading failures of overload behaviors on interdependent networks Physica A (IF 2.924) Pub Date : 20210401
Ning Wang, ZiYang Jin, Jiao ZhaoThe increasing dependence between infrastructure networks and the threat of cascading failures on network security motivated the analysis of the overload behaviors on interdependent networks. Here, considering the node load redistribution mechanism, we study the robustness of interdependent networks with different attack strategies, connection strategies and load distribution mechanisms considering

Expressway traffic flow under the combined bottleneck of accident and onramp in framework of Kerner’s threephase traffic theory Physica A (IF 2.924) Pub Date : 20210319
Junwei Zeng, Yongsheng Qian, Ziwen Lv, Fan Yin, Leipeng Zhu, Yongzhi Zhang, Dejie XuMany traffic accidents occur in the merging and diverging area of expressway and ramp, which forms the combination bottleneck of traffic accidents and ramp at the same time, and has a negative impact on traffic flow. Based on the classic KKW (Kerner–Klenov–Wolf) model of threephase traffic flow theory, this paper introduces traffic accident and defines the priority rule of vehicle lane changing in

Tracking quantum control for a two qutrits system under amplitude damping noise Physica A (IF 2.924) Pub Date : 20210410
A.L.O. dos Santos, G.J. DelbenThe tracking control of quantum correlations between two coupled qutrits is examined, where the qutrits are coupled to a Markovian environment. The analyzed noise is the amplitude damping. We adapt the piecewise time independent quantum control method to a general N qutrits system. Effectively, the control field is an external potential applied to the system which contains two adjustable parameters

The subfractional CEV model Physica A (IF 2.924) Pub Date : 20210331
Axel A. Araneda, Nils BertschingerThe subfractional Brownian motion (sfBm) is a stochastic process, characterized by nonstationarity in their increments and longrange dependence, considered as an intermediate step between the standard Brownian motion (Bm) and the fractional Brownian motion (fBm). The mixed process, a linear combination between a Bm and an independent sfBm, called mixed subfractional Brownian motion (msfBm), keeps

Quantifying the social structure of elites in ancient China Physica A (IF 2.924) Pub Date : 20210329
Xiongfei Jiang, Long Xiong, Ling Bai, Na Zhao, Jiu Zhang, Ke Xia, Kai Deng, Bo ZhengWith data from epitaphs of elites in ancient China, we construct the elite social networks of the Tangdynasty and the Songdynasty. The complexity theory is then introduced to unveil associations between the elite social networks and the history. The top influential elites in ancient China are identified from the elite social networks. We detect the community structure formed with strongly connected

Comovements between Shanghai Composite Index and some fund sectors in China Physica A (IF 2.924) Pub Date : 20210329
Jian Wang, Wei Shao, Chenmin Ma, Wenbing Chen, Junseok KimIn this article, we analyzed the crosscorrelations between Shanghai Composite Index (SSEC) and some fund sectors in China. Four highvolume fund sectors such as finance, medicine, new energy, and consumption sectors were investigated. Multifractal CrossCorrelation Analysis (MFCCA) approach was conducted for the empirical researches of the longrange correlations for time series pairs. The obtained

Identifying influential spreaders in complex networks based on network embedding and node local centrality Physica A (IF 2.924) Pub Date : 20210329
XuHua Yang, Zhen Xiong, Fangnan Ma, Xiaoze Chen, Zhongyuan Ruan, Peng Jiang, Xinli XuIdentifying influential spreads in a network is of great significance for the analysis and control of the information dissemination process in complex networks. Based on the network embedding method, we propose an algorithm to identify the high influence nodes of the network. Firstly, the DeepWalk network embedding algorithm is used to map the highdimensional complex network to a lowdimensional vector

Observability transitions in clustered networks Physica A (IF 2.924) Pub Date : 20210329
Takehisa Hasegawa, Yuta IwaseWe investigate the effect of clustering on network observability transitions. In the observability model introduced by Yang et al. (2012), a given fraction of nodes are chosen randomly, and they and those neighbors are considered to be observable, while the other nodes are unobservable. For the observability model on random clustered networks, we derive the normalized sizes of the largest observable

A new dissimilarity measure based on ordinal pattern for analyzing physiological signals Physica A (IF 2.924) Pub Date : 20210409
Yunxiao Liu, Youfang Lin, Ziyu Jia, Jing Wang, Yan MaComplex physiological signals carry critical information about the underlying dynamics of the complex system that produced them. By analyzing and exploring these signals, we can identify which state the system is in and understand the underlying dynamics of that system. Numerous linear and nonlinear methods have been developed for analyzing physiological signals, but they either rely on certain assumptions

Multifractal dimensions and statistical properties of critical ensembles characterized by the three classical Wigner–Dyson symmetry classes Physica A (IF 2.924) Pub Date : 20210329
M. CarreraNúñez, A.M. MartínezArgüello, J.A. MéndezBermúdezWe introduce a powerlaw banded random matrix model for the third of the three classical Wigner–Dyson ensembles, i.e., the symplectic ensemble. A detailed analysis of the statistical properties of its eigenvectors and eigenvalues, at criticality, is presented. This ensemble is relevant for timereversal symmetric systems with strong spin–orbit interaction. For the sake of completeness, we also review

A multifaceted risk assessment approach using statistical learning to evaluate socioenvironmental factors associated with regional felony and misdemeanor rates Physica A (IF 2.924) Pub Date : 20210408
Prasangsha Ganguly, Sayanti MukherjeeDelinquencies are burden on a society, and minimizing the crime risk is essential. In this paper, we propose a multifaceted datadriven approach to longterm predictions of annual felony and misdemeanor rates and understanding their spatial patterns under various scenarios. Leveraging a suite of nonlinear statistical learning algorithms, we developed advanced models to predict countylevel annual crime

Limiting value of the Kolkata index for social inequality and a possible social constant Physica A (IF 2.924) Pub Date : 20210324
Asim Ghosh, Bikas K. ChakrabartiBased on some analytic structural properties of the Gini and Kolkata indices for social inequality, as obtained from a generic form of the Lorenz function, we make a conjecture that the limiting (effective saturation) value of the abovementioned indices is about 0.865. This, together with some more new observations on the citation statistics of individual authors (including Nobel laureates), suggests

Epidemics, the Isingmodel and percolation theory: A comprehensive review focused on Covid19 Physica A (IF 2.924) Pub Date : 20210329
Isys F. Mello, Lucas Squillante, Gabriel O. Gomes, Antonio C. Seridonio, Mariano de SouzaWe revisit wellestablished concepts of epidemiology, the Isingmodel, and percolation theory. Also, we employ a spin S = 1/2 Isinglike model and a (logistic) Fermi–Diraclike function to describe the spread of Covid19. Our analysis show that: (i) in many cases the epidemic curve can be described by a Gaussiantype function; (ii) the temporal evolution of the accumulative number of infections and

Human–machine cooperative scheme for carfollowing control of the connected and automated vehicles Physica A (IF 2.924) Pub Date : 20210401
Jin Chen, Dihua Sun, Yang Li, Min Zhao, Weining Liu, Shuang JinTo address the outoftheloop problem of the automated driving, a human–machine cooperative scheme for carfollowing control of the connected and automated vehicles (CAVs) is proposed. The proposed scheme can keep the drivers always in the loop and improve the carfollowing performance. To be specific, the driving automation system (artificial driver) is assigned to the task of velocity tracking and

Towards lowtemperature peculiarities of thermodynamic quantities for decorated spin chains Physica A (IF 2.924) Pub Date : 20210329
Taras Krokhmalskii, Taras Hutak, Onofre Rojas, Sergio Martins de Souza, Oleg DerzhkoWe discuss the origin of an enigmatic lowtemperature behavior of some onedimensional decorated spin systems which was coined the pseudotransition. Tracing out the decorated parts results in the standard Isingchain model with temperaturedependent parameters and the unexpected lowtemperature behavior of thermodynamic quantities and correlations of the decorated spin chains can be tracked down in

A practical adaptive grid method for the Allen–Cahn equation Physica A (IF 2.924) Pub Date : 20210330
Darae Jeong, Yibao Li, Yongho Choi, Chaeyoung Lee, Junxiang Yang, Junseok KimWe present a simple and practical adaptive finite difference method for the Allen–Cahn (AC) equation in the twodimensional space. We use a temporally adaptive narrow band domain embedded in the uniform discrete rectangular domain. The narrow band domain is defined as a neighboring region of the interface. We employ a recently developed explicit hybrid numerical scheme for the AC equation. Therefore

Coastlines and percolation in a model for hierarchical random deposition Physica A (IF 2.924) Pub Date : 20210407
Jonas Berx, Evi Bervoets, Claudiu V. Giuraniuc, Joseph O. IndekeuWe revisit a known model in which (conducting) blocks are hierarchically and randomly deposited on a ddimensional substrate according to a hyperbolic size law with the block size decreasing by a factor λ>1 in each subsequent generation. In the first part of the paper the number of coastal points (in D=1) or coastlines (in D=2) is calculated, which are points or lines that separate a region at “sea

Group travel behavior in metro system and its relationship with house price Physica A (IF 2.924) Pub Date : 20210326
Kangli Zhu, Haodong Yin, YunChao Qu, Jianjun WuModeling travel behavior interrelationship is important to traffic planning and management as well as spread modeling of infectious disease and information. Our ability to understand intertraveler behavior has remained unsatisfactorily limited due to the lack of empirical traveltogether data. Taking advantage of access to a largescale smartcard dataset from the Beijing metro network, we investigate

On the influence maximization problem and the percolation phase transition Physica A (IF 2.924) Pub Date : 20210318
Yoav Kolumbus, Sorin SolomonWe analyze the problem of network influence maximization in the uniform independent cascade model: Given a network with N nodes and a probability p for a node to contaminate a neighbor, find a set of k initially contaminated nodes that maximizes the expected number of eventually contaminated nodes. This problem is of interest theoretically and for many applications in social networks. Unfortunately

The effect of online environmental news on green industry stocks: The mediating role of investor sentiment Physica A (IF 2.924) Pub Date : 20210326
Gaoshan Wang, Guangjin Yu, Xiaohong ShenIn the digital era, most investors acquire information and exert their voices on the Internet; however, how environmental news influences the prices of green industry stocks and investor behavior is not clear. This study investigated the relationships among environmental news, investor sentiment, and green industry stock returns in China. Adopting a text analysis technique, we developed an index of

Phase transitions in random mixtures of elementary cellular automata Physica A (IF 2.924) Pub Date : 20210323
Emilio N.M. Cirillo, Francesca R. Nardi, Cristian SpitoniWe investigate onedimensional probabilistic cellular automata, called Diploid Elementary Cellular Automata (DECA), obtained as random mixtures of two different elementary cellular automata rules. All the cells are updated synchronously and the probability for one cell to be 0 or 1 at time t depends only on the value of the same cell and that of its neighbors at time t−1. These very simple models show

Explanatory prediction of traffic congestion propagation mode: A selfattention based approach Physica A (IF 2.924) Pub Date : 20210327
Qingchao Liu, Tao Liu, Yingfeng Cai, Xiaoxia Xiong, Haobin Jiang, Hai Wang, Ziniu HuShortterm traffic flow forecasting, an important component of intelligent transportation systems (ITS), is a challenging research direction as forecasting itself is affected by a series of complex factors. As more and more attention is paid to the data itself, deep learning methods have attained mainstream popularity for accomplishing traffic flow prediction tasks. In recent years, the attention mechanism

Statistical mechanical model for growth and spread of contagions under gauged population confinement Physica A (IF 2.924) Pub Date : 20210326
Carlos Velarde, Alberto RobledoWe construct a stochastic process model for cascading families of time series descriptive of the initial development and then controlled evolution of a general epidemic/pandemic phenomenon. A distinguishing feature of the model is the effect of the spatial position of individual infections amongst other appropriate characteristics. The model naturally reproduces regime transitions representative of

Avalanches in an extended Schelling model: An explanation of urban gentrification Physica A (IF 2.924) Pub Date : 20210323
Diego Ortega, Javier RodríguezLaguna, Elka KorutchevaIn this work we characterize sudden increases in the land price of certain urban areas, a phenomenon causing gentrification, via an extended Schelling model. An initial price rise forces some of the disadvantaged inhabitants out of the area, creating vacancies which other groups find economically attractive. Intolerance issues forces further displacements, possibly giving rise to an avalanche. We consider

Multifractality nature of microtubule dynamic instability process Physica A (IF 2.924) Pub Date : 20210329
Vahid Rezania, Ferry C. Sudirga, Jack A. TuszynskiThe irregularity of growing and shortening patterns observed experimentally in microtubules and their ensembles reflects a dynamical system that fluctuates stochastically between assembly and disassembly phases. The observed time series of microtubule lengths have been extensively analyzed to shed light on structural and dynamical properties of microtubules. Here, for the first time, Multifractal Detrended

Multifractal Crosscorrelations between foreign exchange rates and interest rate spreads Physica A (IF 2.924) Pub Date : 20210402
Jianfeng Li, Xinsheng Lu, Wei Jiang, Vanya S. PetrovaWe apply the Multifractal detrended moving average analysis (MFDMA) and the Multifractal CrossCorrelation Analysis(MFCCA) to study the crosscorrelation behaviors between foreign exchange markets and interest rate differentials. Our empirical results obtained from the crosscorrelation test, qDCCA coefficient and MFCCA confirm the existence of strong multifractality crosscorrelations between foreign

Malware propagation in clustered computer networks Physica A (IF 2.924) Pub Date : 20210402
José Roberto C. Piqueira, Manuel A.M. Cabrera, Cristiane M. BatistelaPrevious studies have been dedicated to strategies for combating malware propagation in data networks. One method to combat these deleterious actions is to establish preventive policies for system operations using network macroscopic models based on epidemiological studies, which is an efficient alternative compared to other methods. Among several studies based on the susceptibleinfectedremoved (SIR)

A graded granular material generation algorithm based on particle number probability distribution by DEM Physica A (IF 2.924) Pub Date : 20210313
Weichen Sun, Kai Wu, Haibo HuangThis paper proposes an algorithm based on particle number probability distribution (PNPD), which is validated by two classic grading curves of Rosin–Rammler curve and Fuller curve. The PNPD algorithm is effective for the generation of graded granular materials, including spherical particles, irregular forms of clumps particles, and a mixture of both. The grading curves of generated samples are validated

Behavior of a constrained particle on superintegrability of the twodimensional complex Cayley–Klein space and its thermodynamic properties Physica A (IF 2.924) Pub Date : 20210319
A. Najafizade, H. PanahiIn this paper, we study the motion of a particle on a family of superintegrable Hamiltonians of the unitary groups in Cayley–Klein space. This possibility is provided through the general commutator relations between generators from its respective group. Hence, by converting coordinates from Cartesian space to Eulerian parameterization, the obtained metric in terms of the new coordinates is equal to

Power series solution of the fractional logistic equation Physica A (IF 2.924) Pub Date : 20210326
I. Area, J.J. NietoUsing a series of fractional powers we present a representation of the solution to the fractional logistic equation is presented. To simplify we consider the simplest case and prove that the power series is indeed the exact solution. Some numerical approximations are presented to show the good approximations obtained by truncating the fractional power series.

Endemic informationcontagion outbreaks in complex networks with potential spreaders based recurrentstate transmission dynamics Physica A (IF 2.924) Pub Date : 20210311
Zhixiao Wang, Xiaobin Rui, Guan Yuan, Jingjing Cui, Tarik HadzibeganovicEpidemic models have long been used to study information diffusion in complex artificial, biological and social networks. Here, we propose a novel recurrentstate epidemic model for information diffusion in networked systems by introducing a potentialspreaders compartment into the susceptible–infected–recovered–susceptible (SIRS) model. Our model assumes that not all susceptible nodes are equally

Macroeconophysics indicator of economic efficiency Physica A (IF 2.924) Pub Date : 20210326
Leonardo H.S. Fernandes, Fernando H.A. de Araújo, Igor E.M. Silva, Jusie S.P. NetoThis paper analyses economic growth, which is one of the most critical macroeconomic themes. We use quarterly GDP time series that was well adjusted for each country through seven different mathematical functions. Then, we calculated the first derivative of these functions to obtain the average economic growth per quarter of each country and the second derivative that measures the instantaneous economic

Discreteevent simulations for metro train operation under emergencies: A multiagent based model with parallel computing Physica A (IF 2.924) Pub Date : 20210326
Yang Li, Xin Yang, Jianjun Wu, Huijun Sun, Xin Guo, Li ZhouEmergencies of metro systems have become more frequent in rush hours, which have significant consequences for metro planning, designing, operating, and even the passengers’ daily travel. The motivation of this paper is to establish a hybrid metro simulation method with high efficiency and sufficient precision. To this end, a discreteevent simulation method based on a multiagent model with parallel

Group emotional contagion and simulation in largescale flight delays based on the twolayer network model Physica A (IF 2.924) Pub Date : 20210324
Quan Shao, Hong Wang, Pei Zhu, Min DongThis paper aims to construct a feasible twolayer network model for the emotional contagion of passenger groups in the case of largescale flight delays. This improved emotional contagion model can study the emotional contagion mechanism and process of delayed passengers between online and offline social contact networks. Besides, it also introduces multiple attributes such as passenger personality

Spotlighting quantum phase transition in spin 1/2 Ising–Heisenberg diamond chain employing MeasurementInduced Nonlocality Physica A (IF 2.924) Pub Date : 20210319
S. Bhuvaneswari, R. Muthuganesan, R. RadhaWe examine thermal quantum correlations characterized by MeasurementInduced Nonlocality (MIN) in an infinite spin1/2 Ising–Heisenberg spin chain with Dzyaloshinskii–Moriya (DM) interaction. We evaluate MIN analytically in the thermodynamic limit using the transfer matrix approach and show that the MIN and its firstorder derivative may spotlight the quantum criticality and quantum phase transition

Roomtemperature large magnetocaloric, electronic and magnetic properties in La0.75Sr0.25MnO3 manganite: Ab initio calculations and Monte Carlo simulations Physica A (IF 2.924) Pub Date : 20210319
G. Kadim, R. Masrour, A. Jabar, E.K. HlilBy using the Ab initio and Monte Carlo calculations, we have studied the magnetism of the crystalline La0.75Sr0.25MnO3 perovskite. The ferromagnetic phase of La0.75Sr0.25MnO3 is halfmetallic, which is important in the relation to the colossal magnetoresistance properties of this compound. The total magnetic moment and the exchange couplings deduced from ab initio calculations lead, by using Monte

The effect of quarantine measures for close contacts on the transmission of emerging infectious diseases with infectivity in incubation period Physica A (IF 2.924) Pub Date : 20210401
QiuHui Pan, Sha Song, MingFeng HeFor emerging infectious disease with infectivity in incubation period, this paper studies the effect of quarantine measures for close contacts on the transmission of emerging infectious disease with the help of the differential equation model. The results show that as long as measures where close contacts are quarantined are taken, when to take measures is a very important factor. Under a given quarantine

Crosscorrelations between the P2P interest rate, Shibor and treasury yields Physica A (IF 2.924) Pub Date : 20210401
Shuping Li, Xinsheng Lu, Jianfeng LiUsing interest rate market data, this paper employs a multifractal crosscorrelation analysis (MFCCA) to study the crosscorrelations between market interest rate, treasury yields and policy interest rate. Crosscorrelation statistics and coefficients verify the existence of crosscorrelations, and the MFCCA method quantitatively confirms the presence of multifractality between the three time series