DSMC Simulation and Experimental Validation of Shock Interaction in Hypersonic Low Density Flow by Hong Xiao, Yuhe Shang, Di Wu

“…Direct simulation Monte Carlo (DSMC) of shock interaction in hypersonic low density flow is developed. …”
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Age-Dependent Small-Animal Internal Radiation Dosimetry by Tianwu Xie, Habib Zaidi

“…Particle transport was simulated using the MCNPX Monte Carlo code. Absorbed fractions (AFs) and specific absorbed fraction (SAFs) of monoenergetic photons/electrons and S values of eight positron-emitting radionuclides were calculated. …”
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Enhancing Mixed Traffic Flow Safety via Connected and Autonomous Vehicle Trajectory Planning with a Reinforcement Learning Approach by Yanqiu Cheng, Chenxi Chen, Xianbiao Hu, Kuanmin Chen, Qing Tang, Yang Song

“…This study presents a reinforcement learning modeling approach, named Monte Carlo tree search-based autonomous vehicle safety algorithm, or MCTS-AVS, to optimize the safety of mixed traffic flow, on a one-lane roadway with signalized intersection control. …”
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A Bounded Lifetime Distribution Specified by a Trigonometric Function: Properties, Regression Model, and Applications by Simon A. Ogumeyo, Festus C. Opone, Abdul Ghaniyyu Abubakari, Jacob C. Ehiwario

“…The behavior of the estimators obtained from the estimation methods are investigated using Monte Carlo simulation studies. The results show that the estimation methods are asymptotically efficient and consistent. …”
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Effects of the Awareness-Driven Individual Resource Allocation on the Epidemic Dynamics by Xiaolong Chen, Ruijie Wang, Dan Yang, Jiajun Xian, Qing Li

“…Through extensive Monte Carlo simulations, we find that overall the self-awareness inhibits the spread of disease. …”
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Ising Model of User Behavior Decision in Network Rumor Propagation by Chengcheng Li, Fengming Liu, Pu Li

“…In the model, the Monte Carlo method is used to simulate the interaction between the user’s self-identity attribute (micropart), the user-user interaction (the middle part), and the social environment’s influence (the macroscopic part) to study user decision behavior of rumor spread in a social network system. …”
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Experimental and Simulation Study of n-Heptane Adsorption on Rutile by G.U. Rakhmatkariev, A.J. Palace Carvalho, J.P. Prates Ramalho

“…The adsorption of n-heptane on microcrystalline rutile has been studied experimentally by thermodynamic techniques (adsorption isotherms and microcalorimetry) over a wide range of coverage at 303 K and complemented by Grand Canonical Monte Carlo simulations. The differential heat of adsorption exhibited three descending segments corresponding to the adsorption of n-heptane on three types of surfaces. …”
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2-Amino-6-methylbenzothiazole as corrosion inhibitor for low carbon steel in acidic solution: Experimental and theoretical studies by Klodian Xhanari, Muhamed Farruku, Avni Berisha, Bujar Seiti, Kledi Xhaxhiu, Efrosini Kokalari, Alketa Lame

“…Density Functional Theory (DFT) calculations, along with Monte Carlo (MC) and Molecular Dynamics (MD) simulations, were employed to investigate AMBT’s corrosion inhibition behaviour at the molecular level. …”
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The Feasibility of Societal Cost Equivalence between Robotic Hysterectomy and Alternate Hysterectomy Methods for Endometrial Cancer by Neel T. Shah, Kelly N. Wright, Gudrun M. Jonsdottir, Selena Jorgensen, Jon I. Einarsson, Michael G. Muto

“…Sensitivity analysis and Monte Carlo simulation were performed using a cost-minimization model. …”
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Frequentist and Bayesian Approaches in Modeling and Prediction of Extreme Rainfall Series: A Case Study from Southern Highlands Region of Tanzania by Erick A. Kyojo, Silas S. Mirau, Sarah E. Osima, Verdiana G. Masanja

“…Three estimation methods–L-moments, maximum likelihood estimation (MLE), and Bayesian Markov chain Monte Carlo (MCMC)–were employed to estimate GEV parameters and future return levels. …”
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The gallium solar neutrino capture cross section revisited by W.C. Haxton, Evan Rule

“…Uncertainties are propagated using Monte Carlo simulations.…”
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Phylogenetic Analysis of Dengue Virus in Bangkalan, Madura Island, East Java Province, Indonesia by Teguh Hari Sucipto, Tomohiro Kotaki, Kris Cahyo Mulyatno, Siti Churrotin, Amaliah Labiqah, Soegeng Soegijanto, Masanori Kameoka

“…Serotyping was conducted using a multiplex Reverse Transcriptase-Polymerase Chain Reaction and a phylogenetic analysis of E gene sequences was performed using the Bayesian Markov chain Monte Carlo (MCMC) method. 17 out of 359 blood samples (4.7%) were positive for the isolation of DENV. …”
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PROBABILISTIC FLOW DISTRIBUTION AS A REACTION TO THE STOCHASTICITY OF THE LOAD IN THE POWER SYSTEM by A. M. Hashimov, N. R. Rakhmanov, G. B. Guliyev, R. N. Rakhmanov, A. A. Mustafayev

“…The results of the simulation of the probability flow distribution for these fluctuations of the load, represented in the form of discrete sample values of the active power obtained with the use of the analytical Monte-Carlo method, and real data measurements of their values in the network under examination were compared.…”
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Critical Design Considerations on Continuous Frequency Modulation Localization Systems by Belal Al-Qudsi, Mohammed El-Shennawy, Niko Joram, Marco Gunia, Frank Ellinger

“…To demonstrate the feasibility of the proposed diagram, four scenarios with different design constraints were evaluated in a Monte-Carlo model of a basic TWR system. Moreover, an experimental measurement setup demonstrated the validity of the proposed diagram. …”
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The Performance of Multiple Imputation in Social Surveys with Missing Data from Planned Missingness and Item Nonresponse by Julian B. Axenfeld, Christian Bruch, Christof Wolf, Annelies G. Blom

“…To deal with this research gap, we apply a Monte Carlo simulation study using real social survey data. …”
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A New Comprehensive Framework for Identifying and Monitoring the Interseasonal Characteristics of Meteorological Drought by Hamza Amin, Rizwan Niaz, Nafisa A. Albasheir, Fuad S. Al-Duais, Mohammed M. A. Almazah, A. Y. Al-Rezami

“…In the first stage of the framework, the K-means method is utilized to identify homogeneous clusters. Besides, the Monte Carlo feature selection (MCFS) is applied to select more important stations from the varying clusters. …”
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Impact of short-term soil disturbance on cadmium remobilization and associated risk in vulnerable regions by Zhong Zhuang, Hao Qi, Siyu Huang, Qiqi Wang, Yanan Wan, Huafen Li

“…Random Forest analysis identified elevated dissolved organic matter and pH changes as key drivers of Cd remobilization. Monte Carlo simulation, integrating Michaelis-Menten reaction kinetics model, further accessed the potential risk of Cd remobilization. …”
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Influence of the Decelerator Grid on the Optical Performance of the Ion Thruster by Chang Lu, Yide Zhao, Jie Wan, Yuchuan Chu, Liang Zheng, Yong Cao

“…In this paper, a three-dimensional Immersed Finite Element Method-Particle in Cell-Monte Carlo Collision (IFE-PIC-MCC) algorithm was adopted to investigate the effect of the decelerator grid on the optical performance under crossover and normal circumstances. …”
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A spatiotemporal distribution prediction model for electric vehicles charging load in transportation power coupled network by Xiaolong Yang, Jingwen Yun, Shuai Zhou, Tek Tjing Lie, Jieping Han, Xiaomin Xu, Qian Wang, Zeqi Ge

“…Furthermore, the transportation-power coupled network is established based on the graph-theoretic analysis approach, and the spatial and temporal distribution characteristics of charging loads are predicted by Monte Carlo simulation. Finally, a case study is conducted in an actual urban region. …”
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Asymptotic performance analysis of untrusted relay system with full-duplex jamming destination by Rui ZHAO, Xing TAN, Yuanjian LI, Yucheng HE, Chunguo LI

“…The cooperative relay technique in the field of physical layer security is widely concerned by the academic community,due to the advantages of increasing the network capacity and expanding the network coverage.However,cooperative relays may play as untrusted nodes in some certain circumstances.Based on this,to enhance the secrecy performance of untrusted relay systems,a novel full-duplex destination jamming (FDJ) scheme was proposed in the Rayleigh fading channel.In order to maximize the system’s secrecy capacity,a switchable split-optimal antenna selection (OAS) scheme was proposed for a multiple-antenna destination,the power allocation optimization scheme between the source and destination was designed,and the corresponding closed-form expressions of secrecy performance were given.In the large-scale antennas analysis,the closed-form expressions of the ergodic achievable secrecy rate and the optimal power allocation factor of instantaneous secrecy capacity for the FDJ-OAS scheme were derived.Furthermore,based on different asymptotic cases,the asymptotic analyses of secrecy outage probability for the FDJ-OAS scheme were significantly analyzed.Simulation results show that the analytical curves match well with the Monte-Carlo simulation results.It is concluded that the diversity order of the FDJ-OAS scheme is proportional to the number of antennas and antenna diversity can be achieved,which reveals the advantages of the proposed FDJ-OAS scheme.…”
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