Quantitative Risk Assessment of Vibrio parahaemolyticus Toxi Infection Associated with the Consumption of Roasted Shrimp (Penaeus monodon) by Arnaud Carter Keinko Takoundjou, Rhoda Nsen Bughe, Abraham Nkoue Tong, Sylvain Leroy Sado Kamdem, Jean Justin Essia-Ngang

“…Based on the distribution of total V. parahaemolyticus in shrimp and literature information indicating that nonhaemolysing carrier strains could be pathogenic to humans, the cooking, and consumption patterns, the daily exposure level generated in this study, and the dose-response model from other studies, the infectious risk was evaluated and quantified by the Monte Carlo simulation. This simulation was realized based on 10,000 iterations using the Model Risk software, version 4.0, in combination with Microsoft Excel. …”
Get full text

Modeling the Joint Choice Decisions on Urban Shopping Destination and Travel-to-Shop Mode: A Comparative Study of Different Structures by Chuan Ding, Binglei Xie, Yaowu Wang, Yaoyu Lin

“…A comparison of the different models shows that the proposed CNL model structure offers significant improvements in capturing unobserved correlations between alternatives over MNL model and NL model. Moreover, a Monte Carlo simulation for a group of scenarios assuming that there is an increase in parking fees in downtown area is undertaken to examine the impact of a change in car travel cost on the joint choice of shopping destination and travel mode switching. …”
Get full text

PWR Containment Shielding Calculations with SCALE6.1 Using Hybrid Deterministic-Stochastic Methodology by Mario Matijević, Dubravko Pevec, Krešimir Trontl

“…The capabilities of the SCALE6.1/MAVRIC hybrid shielding methodology (CADIS and FW-CADIS) were demonstrated when applied to a realistic deep penetration Monte Carlo (MC) shielding problem of a full-scale PWR containment model. …”
Get full text

Damped Iterative Explicit Guidance for Multistage Rockets with Thrust Drop Faults by Zongzhan Ma, Chuankui Wang, Zhi Xu, Shuo Tang, Ying Ma

“…Finally, the robustness of DIEG under various deviations is verified through Monte Carlo simulation.…”
Get full text

Machine‐Learned HASDM Thermospheric Mass Density Model With Uncertainty Quantification by Richard J. Licata, Piyush M. Mehta, W. Kent Tobiska, S. Huzurbazar

“…These models leverage Monte Carlo dropout to provide uncertainty estimates, and the use of the NLPD loss function results in well‐calibrated uncertainty estimates while only increasing error by 0.25% (<10% mean absolute error) relative to MSE. …”
Get full text

Study on the Stability of the Coal Seam Floor above a Confined Aquifer Using the Structural System Reliability Method by Haifeng Lu, Xiuyu Liang, Nan Shan, You-Kuan Zhang

“…The failure modes were regarded as the series system. The Monte Carlo method was employed to calculate the reliability probability of each failure mode and series system. …”
Get full text

The Dilution Dependency of Multigroup Uncertainties by M. R. Ball, C. McEwan, D. R. Novog, J. C. Luxat

“…The second is based on a more rigorous approach involving the Monte Carlo sampling of resonance parameters in evaluated nuclear data using the TALYS software. …”
Get full text

A Rao-Blackwellized particle filter for joint parameter estimation and biomass tracking in a stochastic predator-prey system by Laura Martín-Fernández, Gianni Gilioli, Ettore Lanzarone, Joaquín Míguez, Sara Pasquali, Fabrizio Ruggeri, Diego P. Ruiz

“…In particular, the proposed technique combines a sequential Monte Carlo sampling scheme for tracking the time-varying biomass with the analytical integration of the unknown behavioral parameter. …”
Get full text

Simulation and Prediction of Injection Pressure in CO2 Geological Sequestration Based on Improved LSO Algorithm and BP Neural Networks by Miaomiao Liu, Xiaofei Fu, Shanpo Jia, Yongsheng Zhang, Yuying Zhang, Dan Yao

“…In order to avoid the occurrence of caprock integrity damage and gas escape due to injection pressure overrun in CO2 sequestration, an optimized back propagation (BP) neural network model based on Monte Carlo simulation (MCS) and an improved lion swarm optimization (ILSO) algorithm is proposed for the maximum sustainable injection pressure prediction. …”
Get full text

Probabilistic Investigation of Cavitation Occurrence on Morning-Glory Spillways Using Numerical Modeling and Response Surface Method by Masoud Ghaffari, Mehdi Azhdary Moghaddam, Gholamreza Azizian, Mohsen Rashki

“…To do so, the Response Surface Method (RSM) was utilized to generate the explicit LSF and the reliability of the cavitation damage was estimated using the Monte Carlo and first and second order reliability methods. …”
Get full text

Entropy-Based Stochastic Optimization of Multi-Energy Systems in Gas-to-Methanol Processes Subject to Modeling Uncertainties by Xueteng Wang, Jiandong Wang, Mengyao Wei, Yang Yue

“…Second, Bayesian estimation theory and the Markov Chain Monte Carlo approach are employed to analyze the differences between historical data and model predictions under varying operating conditions, thereby quantifying modeling uncertainties. …”
Get full text

Self-adaptive fuzzing optimization method based on distribution divergence by XU Hang, JI Jiangan, MA Zheyu, ZHANG Chao

“…An interprocedural comparison flow graph was first constructed based on the interprocedural control flow graph to characterize the spatial random field corresponding to the branch condition variables of the program under test, and the distribution features of the random field generated by a fuzzing mutation strategy were extracted using the Monte Carlo method. Then, a deep graph convolutional neural network was constructed to extract the feature embeddings of the interprocedural comparison flow graph, and this neural network was used as the deep Q-network for deep reinforcement learning. …”
Get full text

A New Approach in Regression Analysis for Modeling Adsorption Isotherms by Dana D. Marković, Branislava M. Lekić, Vladana N. Rajaković-Ognjanović, Antonije E. Onjia, Ljubinka V. Rajaković

“…Experimentally, it cannot be done in a reasonable time, so the Monte Carlo simulation method was applied. The objective of this paper is to introduce and compare numerical approaches that involve different levels of knowledge about the noise structure of the analytical method used for initial and equilibrium concentration determination. …”
Get full text

Approbation of the stochastic group virus protection model by R. Y. Sharykin

“…To analyze the system we use several metrics, such as the saturation time of the virus propagation, the proportion of infected nodes upon reaching saturation and the maximal virus propagation speed. We use Monte Carlo method with the computation of confidence intervals to obtain estimates of the selected metrics. …”
Get full text

Ising Model of User Behavior Decision in Network Rumor Propagation by Chengcheng Li, Fengming Liu, Pu Li

“…Based on the Ising model, this paper constructs a social network rumor propagation dynamics model and then reveals the rumor transmission rules. 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. …”
Get full text

The Effect of Grafting Density on the Crystallization Behaviors of Polymer Chains Grafted onto One-Dimensional Nanorod by Tongfan Hao, Yongqiang Ming, Shuihua Zhang, Ding Xu, Zhiping Zhou, Yijing Nie

“…The crystallization behaviors of five polymer chain systems grafted on a nanorod and the corresponding effect of grafting density were investigated by dynamic Monte Carlo simulations. The segment density near the interfacial regions, the number of crystallites, and the mean square radius of gyration (<Rg2>) increase with increasing grafting density, which are beneficial to the enhancement of crystallizability. …”
Get full text

A Method for Calculating Atmospheric Radiation Produced by Relativistic Electron Precipitation by Wei Xu, Robert A. Marshall, W. Kent Tobiska

“…In this study, using a suite of physics‐based Monte Carlo models, we characterize the effective radiation dose produced at altitudes between ground and low‐Earth‐orbit by relativistic precipitation electrons with energies between 100 keV and 10 MeV. …”
Get full text

Effects of Re on Vacancy Mobility in a Ni-Re System: An Atomistic Study by Nuttapong La-ongtup, Suttipong Wannapaiboon, Piyanut Pinyou, Worawat Wattanathana, Yuranan Hanlumyuang

“…On-the-fly kinetic Monte Carlo is combined with an efficient energy-valley search to find energies of saddle points, based on energetics from the embedded atom method. …”
Get full text

Radiation Exposure and Shielding Effects on the Lunar Surface by Daniel Matthiä, Thomas Berger

“…This work investigated the expected dose rates for maximum GCR intensity and the total dose from several historical solar energetic particle events, including the NASA reference event, through the application of numerical simulations with the Geant4 Monte‐Carlo framework. An evaluation of the shielding effect of lunar regolith was carried out. …”
Get full text

Modeling Public Opinion Polarization in Group Behavior by Integrating SIRS-Based Information Diffusion Process by Tinggui Chen, Jiawen Shi, Jianjun Yang, Guodong Cong, Gongfa Li

“…In addition, the BA network (proposed by Barabasi and Albert) model is used as the agent adjacency model due to its closeness to the real social network structure. After that, the Monte Carlo method is applied to conduct experimental simulation. …”
Get full text