Risk assessment of fine particulate matter exposure attributed to the presence of the cement industry by A. Mallongi, S. Stang, R.D.P. Astuti, A.U. Rauf, M.F. Natsir

“…However, the Monte Carlo Simulation to assess the health risk with the 95th percentile demonstrated that children and adults are at low risk for developing adverse health effects. …”
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Exploring the ability of plasma pTau217, pTau181 and beta-amyloid in mirroring cerebrospinal fluid biomarker profile of Mild Cognitive Impairment by the fully automated Lumipulse®... by Marcella Catania, Claudia Battipaglia, Alberto Perego, Erika Salvi, Emanuela Maderna, Federico Angelo Cazzaniga, Paolo M. Rossini, Camillo Marra, Nicola Vanacore, Alberto Redolfi, Daniela Perani, Patrizia Spadin, Maria Cotelli, Stefano Cappa, Naike Caraglia, Pietro Tiraboschi, Fabrizio Tagliavini, Giuseppe Di Fede

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Early Recognition and Intervention in SIBlingS at High Risk for Neurodevelopment Disorders (ERI-SIBS): a controlled trial of an innovative and ecological intervention for siblings... by Silvia Annunziata, Giulia Purpura, Giulia Purpura, Elena Piazza, Paolo Meriggi, Gabriele Fassina, Laura Santos, Emilia Ambrosini, Antonella Marchetti, Antonella Marchetti, Federico Manzi, Federico Manzi, Davide Massaro, Davide Massaro, Andrea Luna Tacci, Andrea Luna Tacci, Elisabetta Bolognesi, Simone Agostini, Francesca La Rosa, Alessandra Paola Giulia Pedrocchi, Paola Molina, Anna Cavallini

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An Empirical Model of Angle-of-Arrival Variance for a Gaussian Wave Propagation through Non-Kolmogorov Turbulence by Chao Gao, Libin Jiao, Xiaofeng Li

“…The proposed model is approximately expressed as the linear weighted average between the AOA variances of the plane and spherical waves. The Monte Carlo method is applied to validate the proposed model. …”
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Analysis of the Forward Kinematics and Workspace of 8-DOF Manipulator by Li Yawei, Huang Jinying

“…A study on the issue that the forward kinematics and workspace of a manipulator with 8--DOF is carried out.Firstly,according to the structural characteristics of the manipulator,the link coordinate system of manipulator are established by using D-H method,and its forward kinematics is obtained.Secondly,the simulation model of manipulator is set up by using the MATLAB Robotics Toolbox,and the correctness of the kinematics forward solution is testified.Finally,according to the position vector of the end actuator,the Monte Carlo method is applied to analyze the manipulator workspace,and the workspace range of the manipulator end actuator is acquired,and it is consistent with the design parameters of the manipulator.…”
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Dynamics Analysis of Locomotive Transmission System based on Romax by Zhang Fulai, Zhang Yinghui, He Weidong, Shi Xiaochun

“…From the static,modal analysis and dynamics analysis of the model,finding the causes of noise and vibration are the transmission error and the partial load in gear meshing process,which lead to large meshing impact. Using the Monte Carlo method for tooth shape optimization to reduce the transmission error,the best plan is obtained,achieving the transmission error reduced by 73% and the partial load phenomenon has improved greatly.…”
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Derivation and computation of discrete-delayand continuous-delay SDEs in mathematical biology by Edward J. Allen

“…Comparisons between computational solutions of the SDDEs and independently formulated Monte Carlo calculations support the accuracy of the derivations and of the computational methods.…”
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A Stochastic Restricted Principal Components Regression Estimator in the Linear Model by Daojiang He, Yan Wu

“…Finally, we give a numerical example and a Monte Carlo study to illustrate the performance of the proposed estimator.…”
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Valuing Convertible Bonds Based on LSRQM Method by Jian Liu, Lizhao Yan, Chaoqun Ma

“…This paper demonstrates how to price convertible bonds with call and put provisions using Least-Squares Randomized Quasi-Monte Carlo (LSRQM) method. We consider the financial market with stochastic interest rates and credit risk and present a detailed description on calculating steps of convertible bonds value. …”
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Angular Circle Array Multiple Input Multiple Output Underwater Optical Wireless Communications by Zhuoqi Chen, Yuhe Liu, Xiang Yi, Ruiqin Zhao

“…The path loss, CIR, and channel capacity of the angular circular array MIMO communication system are calculated by using the Monte Carlo method. Results show that the proposed angular circular array MIMO communication system has a higher channel capacity compared to planar circular array MIMO communication systems and SISO communication systems.…”
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Characterization and Goodness-of-Fit Test of Pareto and Some Related Distributions Based on Near-Order Statistics by Masoumeh Akbari

“…And the power values of the proposed tests are compared with the power values of well-known tests such as Kolmogorov–Smirnov and Cramer-von Mises tests by Monte Carlo simulations.…”
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Research on the identification performance of UHF RFID system considering the correlation of cascaded channel by Kai SHE, Yigang HE, Bing LI, Yanqing ZHU

“…The identification rate of UHF RFID system was restricted by multipath propagation effects.The system identification performance was studied considering the correlation coefficient between forward and reverse channels.Based on the generalized Rician fading channel model,the analytical expression of identification rate was derived under independent,full correlation and correlation cases.Compared with the existing analysis,the proposed uniform calculation formula of identification rate was for any correlation coefficient and kinds of channel conditions.The numerical computation and Monte-carlo simulations show that the influences of different correlation coefficients,channel conditions,sensitivity and distance on the identification rate.…”
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Stochastic renormalization group and gradient flow by Andrea Carosso

“…The result implies a new approach to Monte Carlo RG that is amenable to lattice simulation. …”
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A New Bivariate Extended Generalized Inverted Kumaraswamy Weibull Distribution by Mahmoud Ragab, Ahmed Elhassanein

“…The performance of the maximum likelihood method is investigated via Monte Carlo simulation depending on the bias and the standard error. …”
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On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression by Chaolin Liu, Hu Yang, Jibo Wu

“…Finally, theoretical results are illustrated by a real data example and a Monte Carlo study.…”
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Variable Selection of High-Dimensional Spatial Autoregressive Panel Models with Fixed Effects by Miaojie Xia, Yuqi Zhang, Ruiqin Tian

“…Under some regular conditions, the consistency and oracle properties of the proposed estimator are established. Some Monte-Carlo experiments and a real data analysis are conducted to examine the finite sample performance of the proposed variable selection procedure, showing that the proposed variable selection method works satisfactorily.…”
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Children in Vegetative State and Minimally Conscious State: Patients’ Condition and Caregivers’ Burden by A. M. Giovannetti, M. Pagani, D. Sattin, V. Covelli, A. Raggi, S. Strazzer, E. Castelli, A. Trabacca, A. Martinuzzi, M. Leonardi

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Mixed Portmanteau Test for Diagnostic Checking of Time Series Models by Sohail Chand, Shahid Kamal

“…We derived the asymptotic distribution of the mixture test and studied its size and power using Monte Carlo simulations.…”
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Cylindrical Shell with Junctions: Uncertainty Quantification of Free Vibration and Frequency Response Analysis by Harri Hakula, Vesa Kaarnioja, Mikael Laaksonen

“…All stochastic collocation results have been verified with Monte Carlo methods.…”
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X-ray diffraction study of structure of CaO-Al2O3-SiO2 ternary compounds in molten and crystalline states by Sokol’skii V.E., Pruttskov D.V., Yakovenko O.M., Kazimirov V.P., Roik O.S., Golovataya N.V., Sokolsky G.V.

“…The partial structural parameters of the short-range order of the melt were reconstructed using Reverse Monte Carlo simulations.…”
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