Dynamical Analysis of Dual Product Information Diffusion considering Preference in Complex Networks by Liang’an Huo, Xiaoxiao Xie

“…According to the Monte Carlo simulation mechanism, the critical threshold of product information was obtained. …”
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M-estimate like correlation based algorithm for direction of arrival estimation under alpha-stable environments by Jin-feng ZHANG, Tian-shuang QIU, Ai-min SONG, Hong TANG, Na WANG

“…A novel class of bounded statistics,namely,the M-estimate like correlation (MELC) for independently identi-cal distributed symmetric alpha-stable (SαS) random variables was defined.Based on the MELC matrix for the array sensor outputs,a new algorithm for direction of arrival (DOA) estimation in the presence of complex SαS noise was proposed.The comprehensive Monte-Carlo simulation results show that the MELC-MUSIC algorithm not only outper-forms the fractional lower order statistics (FLOS) based MUSIC algorithms under low SNR conditions and multi-source signals environment,but also is robust with circular and noncircular signals.…”
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A Method for the Direct Absolute Measurement of J/ψ Decay with ψ(3686) Data Set by Fang Yan, Bo Zheng

“…This method is illustrated by comparing the input and output branching fractions of J/ψ→γη with 106 million inclusive ψ(3686) Monte Carlo samples. The consistent result confirms the validity of the tag method.…”
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Analysis of Mistuned Dynamic Response of Tuned Flexible Mechanism by Yu Linchong

“…The tuned mechanism has mistuned dynamic response when significant flexibleness of components and high speed of mechanism are considered.In order to research mistuned responses,a virtual prototype model of tuned flexible mechanism is applied to simulate kinematics and dynamics.Dynamic responses are simulated in case of mistuned force and mistuned mass.The random parameter sampling data are computed by Monte Carlo method and stochastic response distribution is given by statistical analysis.The results showed that there are mistuned responses in periodical flexible mechanism.The mistuned responses are propagated in form of components vibration in flexible mechanism.The research has laid foundation on vibration localization features of mistuned mechanism.…”
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Risk Efficiencies of Empirical Bayes and Generalized Maximum Likelihood Estimates for Rayleigh Model under Censored Data by Dinesh Barot, Manhar Patel

“…A real data set is presented to illustrate the proposed comparison method, and the performance of the estimates is examined and compared in terms of risk efficiencies by means of Monte Carlo simulations. The simulation results indicate that the proposed empirical Bayes estimates are more preferable than the generalized maximum likelihood estimates.…”
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Analytical Solution of System of Volterra Integral Equations Using OHAM by Muhammad Akbar, Rashid Nawaz, Sumbal Ahsan, Dumitru Baleanu, Kottakkaran Sooppy Nisar

“…The proposed technique is successfully applied for the solution of different problems, and comparison is made with the relaxed Monto Carlo method (RMCM) and hat basis function method (HBFM). …”
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Optimization of Trajectory Correction Scheme for Guided Mortar Projectiles by Yongwei Zhang, Min Gao, Suochang Yang, Dan Fang

“…The result of an example trajectory and Monte Carlo simulations with the predictive guidance law and the trajectory tracking guidance law testifies the effectiveness of the optimized trajectory correction scheme.…”
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Prisoner's Dilemma on real social networks: Revisited by Sharon M. Cameron, Ariel Cintrón-Arias

“…For a population with structuredetermined by social interactions,Prisoner's Dilemma brings to light certain requirements for the altruistic strategy to become established.Monte Carlo simulations of Prisoner's Dilemma are carried out using both simulated social networks and a datasetof a real social network. …”
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Multiple-Model Cardinality Balanced Multitarget Multi-Bernoulli Filter for Tracking Maneuvering Targets by Xianghui Yuan, Feng Lian, Chongzhao Han

“…By integrating the cardinality balanced multitarget multi-Bernoulli (CBMeMBer) filter with the interacting multiple models (IMM) algorithm, an MM-CBMeMBer filter is proposed in this paper for tracking multiple maneuvering targets in clutter. The sequential Monte Carlo (SMC) method is used to implement the filter for generic multi-target models and the Gaussian mixture (GM) method is used to implement the filter for linear-Gaussian multi-target models. …”
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Inference of Process Capability Index Cpy for 3-Burr-XII Distribution Based on Progressive Type-II Censoring by Rashad M. EL-Sagheer, Mustafa M. Hasaballah

“…The Bayesian estimates for the index Cpy have been obtained by the Markov Chain Monte Carlo method. Also, the credible intervals are constructed by using MCMC samples. …”
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Unchain My Heart: Integrins at the Basis of iPSC Cardiomyocyte Differentiation by Rosaria Santoro, Gianluca Lorenzo Perrucci, Aoife Gowran, Giulio Pompilio

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Unveiling the link between NADPH oxidase 2 activation and mitochondrial superoxide formation in leukemic cell killing induced by arsenic trioxide by Andrea Spina, Andrea Guidarelli, Gloria Buffi, Mara Fiorani, Orazio Cantoni

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Investigation of the Atomic Structure of Ge-Sb-Se Chalcogenide Glasses by M. Fabian, N. Dulgheru, K. Antonova, A. Szekeres, M. Gartner

“…These results are in agreement with the Reverse Monte Carlo models, which define the Ge and Sb environment.…”
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Management and Outcome of Parathyroid Carcinoma-Induced Primary Hyperparathyroidism: A Single-Centre Experience by Loredana De Pasquale, Antonio Mario Bulfamante, Giovanni Felisati, Luca Castellani, Giorgio Ghilardi, Alberto Maria Saibene

“…A retrospective cohort study on 462 patients referred for parathyroidectomy to Thyroid and Parathyroid Unit at Santi Paolo e Carlo Hospital, Milan, Italy, from 2011 to 2021. …”
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Joint trade-off optimization algorithm based on cooperative spectrum sensing throughput by Guo-qing JI, Gang WANG, Hong-bo ZHU

“…The achievable data throughput of the cognitive network was modeled to optimize the overhead and performance of the cooperative system thoroughly.Considering the soft data combination decision,the joint trade-off optimization of the local sampling number and cooperative user number was modeled based on the achievable data throughput.The global optimal solution was achieved with inexact line search algorithm,which is based on Armijo rule and lopsided search step technique.Consequently,the validity of the optimization model was verified both by the numerical computation and by Monte-Carlo simulation tests.The joint trade-off optimization of the sampling number and cooperative user number was achieved in cooperative sensing based on the throughput maximizing criterion.…”
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NON-DAMAGE BUSINESS INTERRUPTION INSURANCE POLICIES DURING THE COVID-19 PANDEMIC by Marina Brogi, Valentina Lagasio, Fabrizio Santoboni

“…The model employs a Monte Carlo simulation of different lockdown scenarios: the frequency and severity distributions of losses of Italian SMEs. …”
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The Failure of Orthogonality under Nonstationarity: Should We Care About It? by Jose A. Campillo-García, Daniel Ventosa-Santaulària

“…In this work, an optimistic corollary is provided: it is proven that the LS regression, employed in nonstationary and cointegrated variables where the orthogonality assumption is not satisfied, provides estimates that converge to their true values. Monte Carlo evidence suggests that this property is maintained in samples of a practical size.…”
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Performance Analysis in the Decode-and-Forward Full-Duplex Relaying Network with SWIPT by Phu Tran Tin, Phan Van-Duc, Tan N. Nguyen, Le Anh Vu

“…In the performance analysis, we derive the exact expressions for outage probability (OP) by applying the receiver’s selection combining (SC) technique. Then, the Monte Carlo simulation is performed to verify the correctness of the mathematical analysis. …”
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STATISTICAL MODEL UPDATING AND STRUCTURAL PROBABILISTIC DAMAGE IDENTIFICATION BASED ON BAYESIAN METHOD by GAN Lu, CHEN Hui

“…Firstly, an objective function based on the measured frequency and mode shapes was established, and then the Markov chain Monte Carlo method with delayed rejection was used for stochastics sampling, and the posterior probabilities of structural parameters in intact and damage states were obtained. …”
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Improving the Accuracy of the Diffusion Model in Highly Absorbing Media by Alexander X. Cong, Haiou Shen, Wenxiang Cong, Ge Wang

“…The effectiveness of the proposed technique was demonstrated by the numerical experiments using the Monte Carlo simulation data as measurements.…”
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