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  1. 6301

    Detecting Ground Level Enhancements Using Soil Moisture Sensor Networks by A. D. P. Hands, F. Baird, K. A. Ryden, C. S. Dyer, F. Lei, J. G. Evans, J. R. Wallbank, M. Szczykulska, D. Rylett, R. Rosolem, S. Fowler, D. Power, E. M. Henley

    Published 2021-08-01
    “…Space weather signals from GLEs and Forbush decreases have been identified in COSMOS data. Monte Carlo simulations of atmospheric radiation propagation show that a single COSMOS detector is sufficient to detect the signal of a medium‐strength (10%–100% increase above background) GLE at high statistical significance, including at fine temporal resolution. …”
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  2. 6302

    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

    Published 2020-05-01
    “…Data assimilation using particle filtering (sequential Monte Carlo) is used to infer optimal values over a fixed time window. …”
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  3. 6303

    Effects of maximum dose on local control after stereotactic body radiotherapy for oligometastatic tumors of colorectal cancer. by Su Jin Kang, Jongmoo Park, Gyu-Seog Choi, Jong Gwang Kim, Jun Seok Park, Hye Jin Kim, Jin Ho Baek, Byung Woog Kang, An Na Seo, Shin-Hyung Park, Bong Kyung Bae, Min Kyu Kang, Soo Yeun Park

    Published 2025-01-01
    “…The dose distributions were recalculated using Monte Carlo-based algorithms. The significance of the planning target volume (PTV) biologically effective dose (BED) 10s (D2, D95, D98, Dmean) in LFFS was evaluated using Cox regression, considering sex, age, primary cancer, tumor site, oligometastatic status, multiplicity, and either tumor size or one of the volume parameters. …”
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  4. 6304

    A LGBTIFOBIA PRESENTE NO INTERIOR DE UMA ESCOLA PÚBLICA EM SÃO GONÇALO – RJ by Renan Corrêa dos Santos, Denize Sepulveda, Jose Antonio Sepulveda, Daniel Carvalho de Almeida Lima

    Published 2020-06-01
    “…Para a análise dos dados e leitura das narrativas dos sujeitos foi utilizado o Paradigma Indiciário de Carlo Ginzburg (1989). Foi possível perceber que ocorrem práticas LGBTIfóbicas na escola pesquisada, ou seja, xs alunxs LGBTIS+, sofrem práticas discriminatórias por parte de outrxs alunxs, professorxs e funcionárixs. …”
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  5. 6305

    Visual-inertial navigation assisted by a single UWB anchor with an unknown position by Haolong Luo, Danping Zou, Jiansheng Li, Ancheng Wang, Li Wang, Zidi Yang, Guangyun Li

    Published 2025-01-01
    “…To validate the feasibility and effectiveness of the proposed method, comprehensive simulations and real-world experiments were conducted. First, using Monte Carlo simulation and real-world experiments, we validated the effectiveness of the proposed methods for UWB anchor position and its accuracy estimation. …”
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  6. 6306

    Thermally Driven Atmospheric Escape: Transition from Diffusion-limited to Drag-off Escape by Jack C. Evans, Shane Robert Carberry Mogan, Robert E. Johnson, Orenthal J. Tucker

    Published 2025-01-01
    “…We examine the transition from diffusion-limited to drag-off escape using a direct simulation Monte Carlo (DSMC) model developed to simulate planetary atmospheres, referred to as Harrah. …”
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  7. 6307

    Coupling the urban canopy model TEB (SURFEXv9.0) with the radiation model SPARTACUS-Urbanv0.6.1 for more realistic urban radiative exchange calculation by R. Schoetter, R. J. Hogan, R. J. Hogan, C. Caliot, V. Masson

    Published 2025-01-01
    “…TEB–SPARTACUS is validated by comparing the solar and terrestrial urban radiation budget observables with those simulated by the Monte-Carlo-based HTRDR-Urban reference model for procedurally generated urban districts that mimic the local climate zones. …”
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  8. 6308

    Flexible and cost-effective deep learning for accelerated multi-parametric relaxometry using phase-cycled bSSFP by Florian Birk, Lucas Mahler, Julius Steiglechner, Qi Wang, Klaus Scheffler, Rahel Heule

    Published 2025-02-01
    “…The performance of supervised DNNs (SVNN), self-supervised physics-informed DNNs (PINN), and an iterative fitting framework termed motion-insensitive rapid configuration relaxometry (MIRACLE) was evaluated in silico and in vivo in brain tissue of healthy subjects, including Monte Carlo sampling to simulate noise. DNNs were trained on three distinct in silico parameter distributions and at different signal-to-noise-ratios. …”
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  9. 6309

    An environmental evaluation of food waste downstream management options: a hybrid LCA approach by Ramy Salemdeeb, Mohammad Bin Daina, Christian Reynolds, Abir Al-Tabbaa

    Published 2018-04-01
    “…Sensitivity and Monte Carlo analysis evaluate the methods robustness and illustrate the uncertainty of current LCA methods. …”
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