Zobrazeno 1 - 10
of 24 223
pro vyhledávání: '"Monte-Carlo simulations"'
Publikováno v:
Journal of Mathematics in Industry, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract In this paper we propose an algorithm for testing whether the independent observations come from finite-variance distribution. The preliminary knowledge about the data properties may be crucial for its further analysis and selection of the a
Externí odkaz:
https://doaj.org/article/7092ed9c1ddb4821871d2f4fc02990f0
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract In this study, we introduce a novel advancement in the field of theoretical exploration. Specifically, we investigate the transfer and trapping of electronic excitations within a two-component disordered system confined to a finite volume. T
Externí odkaz:
https://doaj.org/article/fc1fe3c3ec134da883876abbadf98048
Publikováno v:
Anaesthesiology Intensive Therapy, Vol 56, Iss 2, Pp 129-140 (2024)
Externí odkaz:
https://doaj.org/article/8bbb1ddd7429467a924cd4af42b63bfd
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 7, Pp 2516-2523 (2024)
This study aims to validate the dosimetric characteristics of Low Dose Rate (LDR) I-125 source Geant4-based Monte Carlo code. According to the recommendation of the American Association of Physicists in Medicine (AAPM) task group report (TG-43), the
Externí odkaz:
https://doaj.org/article/530f11fdb94144b3a886127dd51e46ed
Publikováno v:
Journal of Medical Physics, Vol 49, Iss 2, Pp 294-303 (2024)
Purpose: The present article deals with investigating the effects of tissue heterogeneity consideration on the dose distribution of 192Ir and 60Co sources in high-dose-rate brachytherapy (HDR-BT). Materials and Methods: A Monte Carlo N-Particle 5 (MC
Externí odkaz:
https://doaj.org/article/ae27d293f8434162b9062dbd5221577d
Autor:
Francesca De Benetti, Julia Brosch-Lenz, Jorge Mario Guerra González, Carlos Uribe, Matthias Eiber, Nassir Navab, Thomas Wendler
Publikováno v:
EJNMMI Physics, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract Background Dosimetry-based personalized therapy was shown to have clinical benefits e.g. in liver selective internal radiation therapy (SIRT). Yet, there is no consensus about its introduction into clinical practice, mainly as Monte Carlo si
Externí odkaz:
https://doaj.org/article/db75b97f01194d1d8ff6a20f240410cd
Autor:
Michaella Morphis, Johan A. van Staden, Hanlie du Raan, Michael Ljungberg, Katarina Sjögreen Gleisner
Publikováno v:
EJNMMI Physics, Vol 11, Iss 1, Pp 1-18 (2024)
Abstract Purpose This study aimed to assess the accuracy of patient-specific absorbed dose calculations for tumours and organs at risk in radiopharmaceutical therapy planning, utilizing hybrid planar-SPECT/CT imaging. Methods Three Monte Carlo (MC) s
Externí odkaz:
https://doaj.org/article/8e2f81af11314e429f107379caa6f057
Autor:
Akash Deep
Publikováno v:
Quantitative Finance and Economics, Vol 8, Iss 2, Pp 286-314 (2024)
This paper presents a novel integration of Machine Learning (ML) models with Monte Carlo simulations to enhance financial forecasting and risk assessments in dynamic market environments. Traditional financial forecasting methods, which primarily rely
Externí odkaz:
https://doaj.org/article/05677d64e5134c14835ac2ed5f56c884
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract We present a powerful method for the simultaneous detection of Au nanoparticles located on both sides of ultrathin sections. The method employs a high-resolution scanning electron microscope (HRSEM) operating in scanning transmission electro
Externí odkaz:
https://doaj.org/article/246b0f12b3324b4f8121686830efd475