Gao, XinglePeng, MinfangTse, Chi K.
15页查看更多>>摘要：The failure propagation of a networked system is profoundly affected by the operation and dynamic behavior of its constituent systems. In this paper, we propose a novel network-based model to investigate the cascading failure of cyber-coupled power systems. Unlike existing models that assume oversimplified network functions, operational characteristics and failure evolution, our proposed model considers the practical differences between a communication network and a power network in terms of network structure, physical operation and dynamic behavior. A practical trip mechanism is derived according to the instantaneous data transmission overload and the stochastic power flow overload. The effects of communication network connection strength and coupling patterns on the robustness of interdependent systems are also studied. Our study shows that the thermal memory effect of power lines aggravates the failure propagation, and that the robustness of the interdependent system is strongly related to the coupled communication network's tolerance. Furthermore, coupling patterns based on network similarity have better inhibition effects on cascading failure under random attacks, and node destructiveness is a suitable coupling similarity index that can be used to improve the robustness of the system. However, the strategy is inapplicable when the system is under intentional attacks. (C) 2022 Elsevier B.V. All rights reserved.
原文链接:
NSTL
Elsevier
Luo, YunLi, YukeSun, ChudiCheng, Chun...
13页查看更多>>摘要：It is noted in the psychology literature that a discrepancy may exist between individuals' implicit opinions and their explicit opinions (or beliefs) on a matter due to political correctness or peer pressures. This study proposes an adaptation of the Deffuant- Weisbuch model that incorporates both implicit and explicit opinions to investigate the evolution of opinions in a population. In our proposed model, we also consider the scenario where an opinion leader exists. We present a theoretical analysis of opinion convergence and consensus in our proposed model and prove a result on the occurrence of "strong diversity"in opinions. We further show that with the existence of an opinion leader, the model will predict a convergence to consensus. Finally, we show the emergence of a strong diversity of opinions in the population for model-based networks and square networks using Monte Carlo simulations. (c) 2022 Elsevier B.V. All rights reserved.
原文链接:- NSTL
- Elsevier
Chen, HailiangChen, BinAi, ChuanZhu, Mengna...
16页查看更多>>摘要：With the development of network models, the importance of community structure had caught much attention. How can the community size and the community distance affect the network structure remains unexplored. Therefore, in this paper, the MoncSid-N and the MoncSid-E are proposed in response to the issue The community size and distance preferences are introduced in these two models. The networks generated by the MoncSid-N show a better similarity to the real-world networks. The network metrics, including average degree, distribution of node degree, and distribution of community size, are used to analyze the performance of the MoncSid-N. Meanwhile, the MoncSid-E solves the problems of the evolution of large-scale networks. A parallel implementation by Pregel of the MoncSid-E is proposed. It is shown that the network with millions of nodes can be generated by the MoncSid-E efficiently. Based on the plenty of simulations and the comparison of real-world networks, the performances of the MoncSid-N and the MoncSid-E are testified. (C) 2022 Elsevier B.V. All rights reserved.
原文链接:- NSTL
- Elsevier
Martinez-Herrera, J. G.Rodriguez-Lopez, O. A.Solis, M. A.
11页查看更多>>摘要：We present a generalized expression for the transfer matrix of finite and infinite onedimensional spin chains within a magnetic field with spin pair interaction J/rp, where r & ISIN; {1, 2, 3, ... , n(v)} is the distance between two spins, nv is the number of nearest neighbors reached by the interaction, and 1 < p < 2. Using this transfer matrix, we calculate the partition function, the Helmholtz free energy, and the specific heat for both finite and infinite ferromagnetic 1D Ising models within a zero external magnetic field. We focus on the temperature T-max where the specific heat reaches its maximum, needed to compute J/(k(B)T(max)) numerically for every value of nv & ISIN; {1, 2, 3, ... , 30}, which we interpolate and then extrapolate up to the critical temperature as a function of p, by using a novel inter-extrapolation function. We use two different procedures to reach the infinite spin chain with an infinite interaction range: increasing the chain size as well as the interaction range by the same amount and increasing the interaction range for the infinite chain. As we expected, both extrapolations lead to the same critical temperature within their uncertainties by two different concurrent curves. Critical temperatures fall within the upper and lower bounds reported in the literature, showing a better coincidence with many existing approximations for p close to 1 than the p values near 2. It is worth mentioning that the well-known cases for nearest (original Ising model) and next-nearest neighbor interactions are recovered doing n(v)= 1 and n(v) = 2, respectively. (c) 2022 Elsevier B.V. All rights reserved.
原文链接:- NSTL
- Elsevier
Balakrishnan, NarayanaswamyBuono, FrancescoLongobardi, Maria
10页查看更多>>摘要：In this paper, a general formulation of entropy is proposed. It depends on two parameters and includes Shannon, Tsallis and fractional entropy, all as special cases. This measure of information is referred to as fractional Tsallis entropy and some of its properties are then studied. Furthermore, the corresponding entropy in the context of Dempster-Shafer theory of evidence is proposed and referred to as fractional version of Tsallis-Deng entropy. Finally, an application to two classification problems is presented. (C) 2022 Elsevier B.V. All rights reserved.
原文链接:- NSTL
- Elsevier
Cacciapaglia, GiacomoCot, Corentinde Hoffer, AdeleHohenegger, Stefan...
26页查看更多>>摘要：We propose a physics-inspired mathematical model underlying the temporal evolution of competing virus variants that relies on the existence of (quasi) fixed points capturing the large time scale invariance of the dynamics. To motivate our result we first modify the time-honoured compartmental models of the SIR type to account for the existence of competing variants and then show how their evolution can be naturally re-phrased in terms of flow equations ending at quasi fixed points. As the natural next step we employ (near) scale invariance to organise the time evolution of the competing variants within the effective description of the epidemic Renormalisation Group framework. We test the resulting theory against the time evolution of COVID-19 virus variants that validate the theory empirically.
原文链接:- NSTL
- Elsevier
Heidari, HosseinKaramati, Mahdi RezaeiMotavalli, Hossein
10页查看更多>>摘要：In the present investigation, a stochastic tumor growth model is presented based on the Morse potential. The solution of the Fokker-Planck equation is used to study the growth rate and the geometry of breast cancer with and without radiation therapy effects. In the second case, to estimate unknown parameters of the probability density function, breast data from the Surveillance, Epidemiology, and End Results program and machine learning algorithm are used. By considering three groups of women (35-85 years old), the results show that as time goes on, tumor size increases while its growth rate decreases, and the older women have a slower growth rate. Also, the simulation results of breast tumors of mice confirm that our results are consistent with the experimental evidence in both cases of radiotherapy and no treatment. Finally, the finding of this study implies that the present model is accurate than the Gompertz one in predicting tumor size, in the treatment case. (c) 2022 Elsevier B.V. All rights reserved.
原文链接:- NSTL
- Elsevier
Bariviera, Aurelio F.Pastor, Veronica E.Vampa, VictoriaBelen Arouxet, M....
12页查看更多>>摘要：Cryptocurrency history begins in 2008 as a means of payment proposal. However, cryptocurrencies evolved into a complex ecosystem of high yield speculative assets. Contrary to traditional financial instruments, they are not (mostly) traded in organized, law-abiding venues, but on online platforms, where anonymity reigns. This paper examines the long term memory in return and volatility, using high frequency time series of seven important coins. Our study covers the pre-Covid-19 and the subsequent pandemic period. We use a recently developed method, based on the wavelet transform, which provides more robust estimators of the Hurst exponent. We detect that, during the peak of Covid-19 pandemic (around March 2020), the long memory of returns was only mildly affected. However, volatility suffered a temporary impact in its long range correlation structure. Our results could be of interest for both academics and practitioners.(c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
原文链接:- NSTL
- Elsevier
Pachuau, Joseph L.Saha, Anish Kumar
11页查看更多>>摘要：Quantum image processing deals with image processing applications in quantum computing. Features of quantum computing like superposition and parallelism give quantum algorithms superiority over classical algorithms. Image filters serve an important task in image processing for applying image transformations. In this paper, we proposed an algorithm for quantum image filters with a generic structure to support different filters. Pixel intensities are represented as rotation in Y-axis of Bloch sphere. The filter is implemented as addition or subtraction of the angles in Y-axis. The proposed algorithm is able to implement different image filters similar to a classical filter. We studied and presented the performance of the filter for edge detection and smoothing operation. The results are then compared to images from a classical filter. The algorithm is further compared with other existing QIP algorithms. (c) 2022 Elsevier B.V. All rights reserved.
原文链接:- NSTL
- Elsevier
