Simulating a travel-related origin of Candida auris in New York–New Jersey by Rita R. Verma, Edward Kiegle, Alexander C. Keyel, Sudha Chaturvedi, Vishnu Chaturvedi

“…We tested the hypothesis by simulating introductions to NY-NJ with a Monte Carlo simulation based on travel from South Asia, proportion of US population in NY-NJ, proportion of hospitals in NY-NJ, and finally, proportion of all travelers entering the United States through NY-NJ. …”
Get full text

Histological and radiographic assessment of the regenerative potential of sodium hexametaphosphate (SHMP) as a novel direct pulp capping material in an animal model by Mostafa Kamel Mohamed, Mohamed Abdelfattah Abdelrahman, Abdel-Razik Hashem Abdel-Razik, Ahmad Abdel Hamid Elheeny

“…Quantitative data were analyzed using the paired-sample t-test, while the qualitative data based on Stanley's histological scoring system were tested using the Monte Carlo exact test. The level of significance was set at 5%. …”
Get full text

Methane hydrate systems off South Makassar Basin, Indonesia by Feisal Dirgantara, Susilohadi Susilohadi, Mohammad Andri Syahrir Iskandar, Yudha Arisandhy Sintuwardhana

“…A first-order estimation of methane resources via petrophysical approach and Monte Carlo simulation suggests approximately 105 trillion cubic feet (TCF) of methane resources.…”
Get full text

An interaction-fair semi-decentralized trajectory planner for connected and autonomous vehicles by Zhengqin Liu, Jinlong Lei, Peng Yi, Yiguang Hong

“…Finally, we conduct Monte Carlo experiments in multiple situations at an intersection, where the empirical results show the advantages of SVEP, including the fast computation speed, a small communication payload, high scalability, equilibrium concordance, and safety, making it a promising solution for trajectory planning in connected traffic scenarios. …”
Get full text

Comprehensive propagation of errors for the prediction of woody biomass by Stephen H. Roxburgh, Keryn I. Paul

“…Error sources in total biomass (above‐ + below‐ground) were quantified using a combination of analytical and Monte Carlo methods, illustrated with four contrasting case studies using either site‐ and‐species‐specific, species‐specific or generalised allometric models. …”
Get full text

Computational design of potent dimeric phenylthiazole NS5A inhibitors for hepatitis C virus by Wissal Liman, Mehdi Oubahmane, Nouhaila Ait Lahcen, Ismail Hdoufane, Driss Cherqaoui, Rachid Daoud, Achraf El Allali

“…In this context, a set of 82 phenylthiazole derivatives was employed to construct a QSAR model using the Monte Carlo optimization technique. This model offers valuable insights into the specific structural characteristics that either enhance or reduce the inhibitory activity. …”
Get full text

Modelling and Simulation of the Radiant Field in an Annular Heterogeneous Photoreactor Using a Four-Flux Model by O. Alvarado-Rolon, R. Natividad, R. Romero, L. Hurtado, A. Ramírez-Serrano

“…The FFM showed a good agreement with the results of Monte Carlo method (MC) and the six-flux model (SFM). …”
Get full text

Cooperative mechanisms of oxide ion conduction in tellurites with secondary bond interactions and Grotthuss-like processes by Zhenyu Zhu, Guanqun Cai, Yuxiang Feng, Juping Xu, Shengqi Chu, Pengfei An, Jianrong Zeng, Wen Yin, Yu Gu, Xiaojun Kuang, Junliang Sun

“…Neutron total scattering experiments with reverse Monte Carlo simulations indicated that the oxide ion migration in those two tellurites is a synergetic effect of mutual transition between Te-O secondary bonds and covalent bonds assisted by Te-O polyhedra rotation. …”
Get full text

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. …”
Get full text

Universal model for predicting the phase composition of multicomponent brasses based on chemical analysis data by Aleksey V. Svyatkin, Gleb V. Kostin

“…Based on the updated parameters of the universal model, the authors used the Monte Carlo method to assess the variability of the microstructure in relation to the requirements for the chemical composition. …”
Get full text

Approaching maximum resolution in structured illumination microscopy via accurate noise modeling by Ayush Saurabh, Peter T. Brown, J. Shepard Bryan IV, Zachary R. Fox, Rory Kruithoff, Cristopher Thompson, Comert Kural, Douglas P. Shepherd, Steve Pressé

“…To accelerate the reconstruction process, we use the finite extent of the point-spread-function to devise a parallelized Monte Carlo strategy involving chunking and restitching of the inferred fluorescence intensity. …”
Get full text

Investigating the CREDIT History of Supernova Remnants as Cosmic-Ray Sources by Anton Stall, Chun Khai Loo, Philipp Mertsch

“…We model the spatial and temporal distribution of sources and the resulting distribution of fluxes with a Monte Carlo approach. The decision tree that we have trained on simulated data is able to discriminate with very high significance between the null hypothesis of a smooth distribution of sources and the scenario with a stochastic distribution of individual sources. …”
Get full text

An Efficient and Robust Method to Predict Multifractured Horizontal Well Production in Shale Oil and Gas Reservoirs by Ling Chen, Yuhu Bai, Bingxiang Xu, Yanzun Li, Zhiqiang Dong, Suran Wang

“…Secondly, the duration of the linear flow period is verified to be over 10~15 years by using an analytical model to do the calculation with the method of Monte Carlo random sampling taking a large amount of parameter combinations of Eagle Ford shale oil and gas reservoirs into calculation. …”
Get full text

Effective Partitioning Method With Predictable Hardness for CircuitSAT by Konstantin Chukharev, Irina Gribanova, Dmitry Ivanov, Stepan Kochemazov, Victor Kondratiev, Alexander Semenov

“…A distinctive feature of the proposed partitioning methods is that they make it possible to estimate the hardness (e.g. the total runtime of a SAT solver on all subproblems) of a partitioning via the Monte Carlo method. In the experimental evaluation we apply these methods to hard CircuitSAT instances and compare their performance with the well known Cube and Conquer approach. …”
Get full text

Secondary flow characteristics and their relationship with thermal performance inside the absorber under non-uniform heat flux by Meihong Ye, Weili Gu, Yifan Hou, Xin Xiang, Jiayong Liu

“…This study combines the Monte Carlo Ray Tracing method (MCRT) and the Finite Volume Method (FVM) to investigate the fluid flow and heat transfer characteristics inside the absorber under non-uniform thermal boundary conditions. …”
Get full text

Detection Schemes With Low-Resolution ADCs and Spatial Oversampling for Transmission With Higher-Order Constellations in Terahertz Band by Christian Forsch, Peter Zillmann, Osama Alrabadi, Stefan Brueck, Wolfgang Gerstacker

“…We confirm our analytical results by Monte Carlo simulations. Both a pure line-of-sight (LoS) and a more realistically modeled indoor THz channel are considered. …”
Get full text

Bayesian deep learning applied to diabetic retinopathy with uncertainty quantification by Masoud Muhammed Hassan, Halbast Rashid Ismail

“…We then applied the Bayesian CNN twice, once using Variational Inference (VI) and once using Monte Carlo dropout (MC-dropout) methods, to the same CNN architecture. …”
Get full text

The Lomax-Claim Model: Bivariate Extension and Applications to Financial Data by Jin Zhao, Humaira Faqiri, Zubair Ahmad, Walid Emam, M. Yusuf, A. M. Sharawy

“…The behaviors of the maximum likelihood estimators are examined by conducting a brief Monte Carlo study. The potentiality and applicability of the Lomax claim model are illustrated by analyzing a dataset taken from financial sciences representing the vehicle insurance loss data. …”
Get full text

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. …”
Get full text

Data Assimilative Optimization of WSA Source Surface and Interface Radii using Particle Filtering by Grant David Meadors, Shaela I. Jones, Kyle S. Hickmann, Charles N. Arge, Humberto C. Godinez‐Vasquez, Carl J. Henney

“…Data assimilation using particle filtering (sequential Monte Carlo) is used to infer optimal values over a fixed time window. …”
Get full text