Results 161 to 170 of about 16,949 (276)

A prismatic approach to $(\varphi, \hat G)$-modules and $F$-crystals

Journal of the European Mathematical Society
We give a new construction of (\varphi, \hat G) -modules using the theory of prisms developed by Bhatt and Scholze. We give two applications of our results. Firstly, we provide a new proof for the equivalence between the category of prismatic F
Heng Du, Tong Liu
openaire   +2 more sources

Evaluation of the effect of metal stents on dose perturbation in the carbon beam irradiation field

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Propose Carbon ion therapy is indicated for cases in which stents have been inserted, such as bile ducts, but the effect of metal stents on carbon ion therapy is unclear. In this study, the dose perturbation of carbon ion therapy caused by metallic bile duct stents was evaluated by dosimetry. Materials and methods Five different types of metal
Yuya Miyasaka, Tetsuya Ishizawa, Yoshihito Nawa, Hikaru Souda, Shohei Kawashiro, Hongbo Chai, Miyu Ishizawa, Hiraku Sato, Takeo Iwai   +8 more
wiley   +1 more source

Development of a GPU-enhanced time-dependent Monte Carlo neutron transport version of McCARD

EPJ Nuclear Sciences & Technologies
To enhance the performance of the TDMC neutron transport analysis, a new version of McCARD utilizing GPUs, named McCARD/G, is under development. This version introduces an MC neutron tracking module that employs an event-based algorithm and features a ...
Ko Woo Kyoung, Jeong Seong Jeong, Kim Young In, Shim Hyung Jin   +3 more
doaj   +1 more source

BreastWatch: A Varian Eclipse script tool for Community‐Based automatic evaluation of breast treatment plans

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This work introduces BreastWatch, a Varian Eclipse script tool designed to help medical physicists, dosimetrists, and radiation oncologists easily inspect and improve External Beam Breast Treatment (EBBT) plans using automatic evaluation of protocol dose‐constraints enhanced by a Community‐Based approach.
Stefano Agostinelli, Daniele Zefiro, Stefania Garelli, Francesca Cavagnetto, Marco Gusinu, Monica Bevegni, Gladys Blandino, Alessandra Fozza, Fabrizio Levrero   +8 more
wiley   +1 more source

On the structure of the higher cohomology modules of line bundles on G/B

, 1988
Stephen Doty, John Brendan Sullivan
openalex   +1 more source

An extension to the OVH concept for knowledge‐based dose volume histogram prediction in lung tumor volumetric‐modulated arc therapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Volumetric‐modulated arc therapy (VMAT) treatment planning allows a compromise between a sufficient coverage of the planning target volume (PTV) and a simultaneous sparing of organs‐at‐risk (OARs). Particularly in the case of lung tumors, deciding whether it is possible or worth spending more time on further improvements of a treatment
Johann Brand, Juliane Szkitsak, Oliver J. Ott, Christoph Bert, Stefan Speer   +4 more
wiley   +1 more source

Minimal Affinizations of Representations of quantum groups: the U_q(g)--module structure

, 1994
Vyjayanthi Chari
openalex   +2 more sources

Computational modelling suggests dynamic interactions between Ca2+, IP3 and G protein-coupled modules are key to robust Dictyostelium aggregation [PDF]

, 2009
Najl V. Valeyev, Jung‐Su Kim, J. S. Heslop‐Harrison, Ian Postlethwaite, Kotov Nv, Declan G. Bates   +5 more
openalex   +1 more source

Sequences of intuitionistic fuzzy soft G-modules [PDF]

International Mathematical Forum, 2018
Veliyeva Kemale, Huseynova Afaq
openaire   +1 more source

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang, Xiaoyang Li, Yidong Yang   +2 more
wiley   +1 more source