Intrinsic constraint on T c for unconventional superconductivity by Qiong Qin, Yi-feng Yang

“…Our results agree well with previous quantum Monte Carlo simulations for the attractive Hubbard model. …”
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Integrating Multi-Model Simulations to Address Partial Observability in Population Dynamics: A Python-Based Ecological Tool by Yide Yu, Huijie Li, Yue Liu, Yan Ma

“…To address these issues, we developed a novel software tool named WAPET (Wildlife Analysis and Population Ecology Tool) (Python 3.10.12). WAPET integrates Monte Carlo simulation with ecological models, including Logistic Growth, Random Walk, and Cellular Automata, to provide a multi-perspective assessment of ecological systems. …”
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Inferential Statistics from Black Hispanic Breast Cancer Survival Data by Hafiz M. R. Khan, Anshul Saxena, Elizabeth Ross, Venkataraghavan Ramamoorthy, Diana Sheehan

“…We specifically focused on Black Hispanic race. Markov Chain Monte Carlo (MCMC) method was used for obtaining the summary results of posterior parameters. …”
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Investigation of ANN Model Containing One Hidden Layer for Predicting Compressive Strength of Concrete with Blast-Furnace Slag and Fly Ash by Hai-Van Thi Mai, Thuy-Anh Nguyen, Hai-Bang Ly, Van Quan Tran

“…Under the effect of random sampling strategies and the network structures selected, Monte Carlo simulations (MCS) are introduced to statistically investigate the convergence of results. …”
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Method of Calculating Secondary Porosity of Reef Limestone Reservoir by Casting Thin Section Calibrating Nuclear Magnetic T2 Spectrum by Bin Zhao, Zhaoping Li, Chuqiao Gao, Guoyi Zhang, Jinbo Wu, Gang Gao, Yang Tang

“…Then, we use the surface porosity of thin section as the calibrating data and find the T2 relaxation time corresponding to the best correlation between the secondary porosity and the secondary surface porosity of casting thin section, that is, the T2 cutoff value of secondary porosity, through the Monte Carlo method. Finally, we calculate the secondary porosity by using the functional relationship between the secondary surface porosity and the surface porosity. …”
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Uncertainty analysis in river quality management considering failure probability: controllable and uncontrollable input pollutants by Mohsen Dehghani Darmian, Britta Schmalz

“…This study integrates a finite volume approach, called SEF (symmetric exponential function), with Monte Carlo simulations in MATLAB to solve the advection-dispersion equation, focusing on evaluating river quality protection tools by considering failure probability (Pf). …”
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Cost-Effectiveness of Hypochlorous Acid Preserved Wound Cleanser versus Saline Irrigation in Conjunction with Ultrasonic Debridement for Complex Wounds by Peter J. Mallow, John M. Hiebert, Martin C. Robson

“…**Methods:** A patient-level Monte-Carlo simulation model was used to conduct a cost-effectiveness analysis from the US health system perspective. …”
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Robust Optimization of Planar Constrained Mechanical System with Varying Joint Clearance Size Based on Sensitivity Analysis by Yong Gao, Fang Zhang, Yuanyuan Li

“…The optimum values of design variables are determined by combining Monte Carlo sampling and multiobjective particle swarm optimization method. …”
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Artificial Neural Network-Based System for PET Volume Segmentation by Mhd Saeed Sharif, Maysam Abbod, Abbes Amira, Habib Zaidi

“…The proposed intelligent system results are compared with those obtained using conventional techniques including thresholding and clustering based approaches. Experimental and Monte Carlo simulated PET phantom data sets and clinical PET volumes of nonsmall cell lung cancer patients were utilised to validate the proposed algorithm which has demonstrated promising results.…”
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Influence of Uncertainty of Soil Hydraulic Parameters on Stability of Unsaturated Slopes Based on Bayesian Updating by Hsin-Fu Yeh, Tsien-Ting Huang, Ya-Sin Yang, Chien-Chung Ke

“…Subsequently, a Markov Chain Monte Carlo (MCMC) method was used to generate random samples, and the uncertainty of the parameters was analyzed. …”
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Identifying Copy Number Variants under Selection in Geographically Structured Populations Based on -statistics by Hae-Hiang Song, Hae-Jin Hu, In-Hae Seok, Yeun-Jun Chung

“…A hierarchical Bayesian method, which is implemented via Markov Chain Monte Carlo, estimates locus-specific FST and can identify outlying CNVs loci with large values of FST. …”
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A hybrid critical channels and optimal feature subset selection framework for EEG fatigue recognition by Hanying Guo, Siying Chen, Yongjiang Zhou, Ting Xu, Yuhao Zhang, Hongliang Ding

“…To minimize redundant information, we propose an improved Reversible Jump Markov Chain Monte Carlo (RJMCMC) algorithm for selecting the optimal feature subset, ensuring both the efficiency and accuracy of fatigue recognition. …”
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Event-by-Event Particle Ratio Fluctuations at LHC Energies by Shaista Khan, Bushra Ali, Anuj Chandra, Shakeel Ahmad

“…A Monte Carlo study of identified particle ratio fluctuations at LHC energies is carried out in the framework of HIJING model using the fluctuation variable νdyn. …”
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Event generation with Sherpa 3 by Enrico Bothmann, Lois Flower, Christian Gütschow, Stefan Höche, Mareen Hoppe, Joshua Isaacson, Max Knobbe, Frank Krauss, Peter Meinzinger, Davide Napoletano, Alan Price, Daniel Reichelt, Marek Schönherr, Steffen Schumann, Frank Siegert

“…Abstract Sherpa is a general-purpose Monte Carlo event generator for the simulation of particle collisions in high-energy collider experiments. …”
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Light-Output Enhancement of GaN-Based Light-Emitting Diodes with Three-Dimensional Backside Reflectors Patterned by Microscale Cone Array by Huamao Huang, Jinyong Hu, Hong Wang

“…The LED chips with flat reflectors or 3D reflectors were simulated using Monte Carlo ray tracing method. It is shown that the LEE increases as the reflectivity of backside reflector increases, and the light-output can be significantly improved by 3D reflectors compared to flat counterparts. …”
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Close-Proximity Operations Design, Analysis, and Validation for Non-Cooperative Targets with an Application to the ClearSpace-1 Mission by José Vasconcelos, Serena Gaggi, Tiago Amaral, Charles Bakouche, Adina Cotuna, Ana Friaças

“…The analysis is adopted for functional chains such as the Navigation and Control, and the combination of a prototyping and a high-fidelity simulator is adopted for directed Model-in-the-Loop Monte-Carlo campaigns. The outcomes are intended to support the industry in the development of Close-Proximity Operations similar to that of CS-1. …”
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Relay Protection Device Reliability Assessment Through Radiation, Fault Injection and Fault Tree Analysis by Hualiang Zhou, Hao Yu, Zhiyang Zou, Zhantao Su, Zheng Xu, Weitao Yang, Chaohui He

“…This study evaluates the impact of SEE on relay protection devices through a Monte Carlo simulation, which is verified by α-particle radiation, fault injection, and fault tree analysis. …”
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A comparison of Bayesian and frequentist confidence intervals in the presence of a late Universe degeneracy by Eoin Ó. Colgáin, Saeed Pourojaghi, M. M. Sheikh-Jabbari, Darragh Sherwin

“…We explain mathematically why this non-Gaussianity arises and show, using observational Hubble data (OHD), that Markov chain Monte Carlo (MCMC) marginalisation leads to 1D posteriors that fail to track the $$\chi ^2$$ χ 2 minimum at $$68\%$$ 68 % confidence level in high redshift bins. …”
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Estimation of Urban Link Travel Time Distribution Using Markov Chains and Bayesian Approaches by Wenwen Qin, Meiping Yun

“…Finally, the current link TTD can be reconstructed by a generic Markov Chain Monte Carlo algorithm incorporating high weighted particles. …”
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Investigation of Benzoic Acid Adsorption on to ODTMA-Bentonite by Response Surface Optimization by H. Kapucu, N. Yildiz, R. Gönülşen, A. Ç Çalimli

“…A 2 4 full factorial central composite experimental design followed by multi-stage Monte-Carlo optimization was used in designing the experiments and analyzing the results. …”
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