Zobrazeno 1 - 10
of 24 256
pro vyhledávání: '"Monte-Carlo simulations"'
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 12, Pp 5239-5247 (2024)
This technical policy study investigated the effect of heavy metal loading (HML) quantity in the pebble fuel on the special nuclear material (SNM) and waste quantities of an uprated Indonesian pebble bed reactor design, the Reaktor Daya Eksperimental
Externí odkaz:
https://doaj.org/article/2a139f145208403397e18c4f88e23029
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 12, Pp 5339-5345 (2024)
Since 1988, the Philippines lacked local access to a nuclear facility, creating a significant void in this field of study for Filipinos. However, after a hiatus of 34 years, this gap was addressed with the recent authorization granted to Philippine R
Externí odkaz:
https://doaj.org/article/07711fbb8a20427eac26486388fbc05c
Autor:
Cassandra Miller, Ivan Klyuzhin, Guillaume Chaussé, Julia Brosch-Lenz, Helena Koniar, Kuangyu Shi, Arman Rahmim, Carlos Uribe
Publikováno v:
EJNMMI Physics, Vol 11, Iss 1, Pp 1-19 (2024)
Abstract Background Radiopharmaceutical therapy with 225Ac- and 177Lu-PSMA has shown promising results for the treatment of prostate cancer. However, the distinct physical properties of alpha and beta radiation elicit varying cellular responses, whic
Externí odkaz:
https://doaj.org/article/6bcb29ad273f43edbffbd9acf10e8d6d
Publikováno v:
Diagnostic and Prognostic Research, Vol 8, Iss 1, Pp 1-18 (2024)
Abstract Background Machine learning methods are increasingly being used to predict clinical outcomes. Optimism is the difference in model performance between derivation and validation samples. The term “data hungriness” refers to the sample size
Externí odkaz:
https://doaj.org/article/2757b5a917974bd4952970a2d5f6c368
Autor:
Junaid Ali Khan, Muhammad Attique Khan, Mohammed Al-Khalidi, Dina Abdulaziz AlHammadi, Areej Alasiry, Mehrez Marzougui, Yudong Zhang, Faheem Khan
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 337-351 (2025)
The diversity, noise, interimage interference, image distortion, and increase in the number of classes in aerial remotely sensed dataset cause exertion in the classification. The efficacy and stability of convolutional neural networks increase in ima
Externí odkaz:
https://doaj.org/article/8930b064bea04faa9e5d438dcd4adccd
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