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1
Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15685
Abstract: PURPOSE This work presents the clinical validation of RayStation's electron Monte Carlo Code by use of diodes and plane parallel radiation detectors in homogenous and heterogeneous tissues. Results are evaluated against international accepted criteria. METHODS…
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Keywords:
agreement;
dose calculation;
monte carlo;
validation ... See more keywords
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Published in 2017 at "Statistics and Computing"
DOI: 10.1007/s11222-016-9699-1
Abstract: For big data analysis, high computational cost for Bayesian methods often limits their applications in practice. In recent years, there have been many attempts to improve computational efficiency of Bayesian inference. Here we propose an…
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Keywords:
hamiltonian monte;
monte;
monte carlo;
random bases ... See more keywords
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1
Published in 2022 at "Statistics and Computing"
DOI: 10.1007/s11222-021-10075-x
Abstract: Many real-world problems require one to estimate parameters of interest, in a Bayesian framework, from data that are collected sequentially in time. Conventional methods for sampling from posterior distributions, such as Markov chain Monte Carlo…
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Keywords:
carlo sampler;
monte carlo;
kalman filter;
ensemble kalman ... See more keywords
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Published in 2019 at "Acta tropica"
DOI: 10.1016/j.actatropica.2019.04.028
Abstract: The eco-epidemiology of Triatominae and Trypanosoma cruzi transmission has been little studied in the Argentinean Monte ecoregion. Herein, we provide a comprehensive description of domestic and intrusive triatomines to evaluate the risk of reinfestation of…
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Keywords:
ecoregion;
monte;
domestic intrusive;
triatomines hemiptera ... See more keywords
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Published in 2020 at "Journal of Arid Environments"
DOI: 10.1016/j.jaridenv.2020.104384
Abstract: Abstract Grazing disturbance affects an extensive area of the Monte desert (Argentina). Arthropods are the main faunistic component of the Monte and play key roles in ecosystem processes. The aim of this study was to…
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Keywords:
shrub species;
monte;
arthropod assemblages;
arthropod ... See more keywords
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1
Published in 2017 at "Nuclear Engineering and Technology"
DOI: 10.1016/j.net.2017.08.005
Abstract: Abstract This paper proposes the adoption of Monte Carlo perturbation theory to approximate the Jacobian matrix of coupled neutronics/thermal-hydraulics problems. The projected Jacobian is obtained from the eigenvalue decomposition of the fission matrix, and it…
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Keywords:
monte;
monte carlo;
perturbation theory;
newton method ... See more keywords
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Published in 2020 at "Radiation Physics and Chemistry"
DOI: 10.1016/j.radphyschem.2019.04.044
Abstract: Abstract Monte Carlo simulations with the MCNP code were applied to evaluation of X-ray fluorescence (XRF) data obtained with two laboratory XRF devices. The aim of this investigation was to test an iterative Monte Carlo…
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Keywords:
monte carlo;
procedure;
ray fluorescence;
monte ... See more keywords
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2
Published in 2022 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.1c00911
Abstract: py-MCMD, an open-source Python software, provides a robust workflow layer that manages communication of relevant system information between the simulation engines NAMD and GOMC and generates coherent thermodynamic properties and trajectories for analysis. To validate…
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Keywords:
monte carlo;
python software;
molecular dynamics;
monte ... See more keywords
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1
Published in 2022 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.1c01047
Abstract: Monte Carlo molecular simulation is a powerful computational method for simulating molecular behavior. It generates samples of the possible states of molecular systems. To generate a sample efficiently, it is advantageous to avoid suggesting extremely…
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Keywords:
monte carlo;
method;
continuous normalizing;
monte ... See more keywords
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1
Published in 2022 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.3c00038
Abstract: We propose a quantum Monte Carlo approach to solve the many-body Schrödinger equation for the electronic ground state. The method combines optimization from variational Monte Carlo and propagation from auxiliary field quantum Monte Carlo in…
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Keywords:
auxiliary field;
monte;
monte carlo;
quantum monte ... See more keywords
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Published in 2017 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.6b00973
Abstract: Particle swap moves between phases are usually the rate-limiting step for Gibbs ensemble Monte Carlo (GEMC) simulations of fluid phase equilibria at low reduced temperatures because the acceptance probabilities for these moves can become very…
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Keywords:
configurational bias;
gibbs ensemble;
monte;
monte carlo ... See more keywords