Design and Simulation of a New Model for Treatment by NCT by Seyed Alireza Mousavi Shirazi, Dariush Sardari

“…The neutron flux and the deposited dose in the all components and different layers of the mentioned phantom are computed by Monte Carlo simulation. The results of Monte Carlo method are compared with analytical method results so that by using a computer program in Turbo-Pascal programming, the deposited dose in the liver phantom has been computed.…”
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Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems by Maria Chiara Angelini, Angelo Giorgio Cavaliere, Raffaele Marino, Federico Ricci-Tersenghi

“…Abstract Is Stochastic Gradient Descent (SGD) substantially different from Metropolis Monte Carlo dynamics? This is a fundamental question at the time of understanding the most used training algorithm in the field of Machine Learning, but it received no answer until now. …”
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Improved node localization algorithm for wireless sensor network by ZENG Fan-zi, SUN Zheng-zhang, LUO Juan, LI Ren-fa

“…An location algorithm called MCBN（Monte Carlo localization boxed using non-anchor） was proposed, which is based on the Monte Carlo localization algorithm. …”
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Stochastic modeling of structural fatigue damage in High Strength Steel structures by Jiri Brozovsky, Martin Krejsa, Petr Lehner, Premysl Parenica, Stanislav Seitl

“…This method can be used as an alternative to Monte Carlo � based approaches for problems of structural reliability. …”
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Statistical mechanics and machine learning of the α-Rényi ensemble by Andrew Jreissaty, Juan Carrasquilla

“…Next, we re-introduce correlations and consider the model in one and two dimensions, presenting analytical arguments for the former and devising a Monte Carlo approach to the study of the latter. Remarkably, we find that while mean-field predicts a continuous phase transition below a threshold index value of α∼1.303 and a first-order transition above it, the Monte Carlo results in two dimensions point to a continuous transition at all α. …”
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The Ghent Hybrid model in NuWro: a new neutrino single-pion production model in the GeV regime by Qiyu Yan, Kajetan Niewczas, Alexis Nikolakopoulos, Raúl González-Jiménez, Natalie Jachowicz, Xianguo Lu, Jan Sobczyk, Yangheng Zheng

“…Frameworks of oscillation analyses strongly rely on Monte Carlo neutrino event generators, which provide theoretical predictions of neutrino interactions on nuclear targets. …”
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Analysis and application of Voronoi diagram by Petras Rupšys

“…Efficiency of the algorithm is investigated by the Monte Carlo simulation method. The Voronoi diagram is applied in the field of forestry. …”
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Asymmetric Randomly Censored Mortality Distribution: Bayesian Framework and Parametric Bootstrap with Application to COVID-19 Data by Rashad M. EL-Sagheer, Mohamed S. Eliwa, Khaled M. Alqahtani, Mahmoud EL-Morshedy

“…In Bayesian framework, the Bayes estimates of the unknown parameters are evaluated by applying the Markov chain Monte Carlo technique, and highest posterior density credible intervals are also carried out. …”
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Resummed jet mass distribution with trimming in Z+jet events at the LHC by Safa Gaid, Yazid Delenda, Rachik Soualah

“…Our resummed result is compared to Monte Carlo parton shower simulations from Pythia 8, Herwig++ and Sherpa 2 event generators.…”
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Novel Strategy to Improve the Performance of Localization in WSN by M. Vasim Babu, A. V. Ramprasad

“…A novel strategy of discrete energy consumption model for WSN based on quasi Monte Carlo and crude Monte Carlo method is developed. …”
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Application of RQMC for CDO Pricing with Stochastic Correlations under Nonhomogeneous Assumptions by Shuanghong Qu, Lingxian Meng, Hua Li

“…The simulation results of RQMC and Monte Carlo (MC) method were compared from the perspective of variance changes. …”
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Stochastic Finite Element Simulation of Uncertain Structures Subjected to Earthquake by Subrata Chakraborty, Santi Sekhar Dey

“…The basic objective is to investigate the possibility of applying the Neumann expansion technique coupled with the Monte Carlo simulation for dynamic stochastic systems upto that extent of parameter variation after which the method is no longer gives accurate results compared to that of the direct Monte carlo simulation. …”
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Strumenti di lotta antimafiosa in Italia e in Tunisia by Nabil Zaher

“… This article aims to speak sicilian instruments to combat anti-mafia in relation to "Le parole sono pietre" written by Carlo Levi and other instruments to combat anti-mafia in relation to the Tunisian Revolution of 2011. …”
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Block Markov superposition transmission over turbulence channels in outdoor optical wireless communication by Jin-shun ZHU, Xiao MA

“…Based on the equivalent genie-aided system,the bit-error rate of the block Markov superposition transmission system was analyzed and the union bound of the bit-error rate of the genie-aided system was derived.When the bit-error rate was extremely low at which the Monte Carlo simulation was time-consuming,the union bound could be adopted to evaluate the performance of the block Markov superposition transmission system.Simulations under turbulence conditions from weak to strong are performed which show that,in the low bit-error rate region,performance of the block Markov superposition transmission system matches well with the lower bound.It is also illustrated that the derived union bound matches well with Monte Carlo simulation result.At the BER of 10^-5,block Markov superposition transmission system with transmission memory 2 performs within 1 dB away from the Shannon limit.…”
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CO Adsorption on Ionic Liquid—Modified Cu-BTC: Experimental and Simulation Study by F.W.M. da Silva, G.M. Magalhães, E.O. Jardim, J. Silvestre-Albero, A. Sepúlveda-Escribano, D.C.S. de Azevedo, S.M.P. de Lucena

“…Monte Carlo computations showed maximum impregnation load of approximately 30 wt% and improved CO 2 adsorption up to 2 bar for all the concentrations tested. …”
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Bayesian Estimation and Prediction for Flexible Weibull Model under Type-II Censoring Scheme by Sanjay Kumar Singh, Umesh Singh, Vikas Kumar Sharma

“…Since the predictive posteriors are not in the closed form, we proposed to use the Monte Carlo Markov chain (MCMC) methods to approximate the posteriors of interest. …”
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Quadriceps Muscle Geometry and Strength Throughout Maturation in National-Level Male Soccer Players: A Cross-Sectional Study [Letter] by Bordoni B

“…Bruno Bordoni Dipartimento di Cardiologia, Fondazione Don Carlo Gnocchi IRCCS, Istituto di Ricovero e Cura, S Maria Nascente, Milano, 20100, ItalyCorrespondence: Bruno Bordoni, Email bordonibruno@hotmail.com, bbordoni@dongnocchi.it…”
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Endovascular Embolization of Spontaneous Iliopsoas Hematoma: First Experience with Squidperi by Pierluca Torcia, Silvia Squarza, Umberto G. Rossi, Paolo Rigamonti, Lorenzo Carlo Pescatori, Giovanni Damiani, Maurizio Cariati

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Blue elixir of youth and wellness: The multicomponent-multitarget paradigm of Curcuma caesia Roxb by Sabrina Burattini, Federico Gianfanti, Francesco Onesimo, Sabrina Donati Zeppa, Barbara Canonico, Mariele Montanari, Giovanna Panza, Daniele Lopez, Giosuè Annibalini, Fabiana Fanelli, Roberta Saltarelli, Michele Mari, Michele Retini, Riham Osman, Aghna Mariam, Matteo Micucci, Giovanni Caprioli, Agnese Santanatoglia, Deborah Agostini, Michela Battistelli

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Bayesian and non-bayesian analysis for stress-strength model based on progressively first failure censoring with applications. by Salem A Alyami, Amal S Hassan, Ibrahim Elbatal, Olayan Albalawi, Mohammed Elgarhy, Ahmed R El-Saeed

“…It is suggested that Markov chain Monte Carlo techniques be used for Bayesian estimation in order to achieve Bayes estimators and the associated credible intervals. …”
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