Predictive Clinical Neuroscience Portal (PCNportal): instant online access to research-grade normative models for clinical neuroscientists. [version 2; peer review: 2 approved]

Autor: Pieter Barkema, Hurng-Chun Lee, Christian Beckmann, Saige Rutherford, Hannah Savage, Seyed Mostafa Kia, Andre Marquand

Publikováno v: Wellcome Open Research, Vol 8 (2023)

Background The neurobiology of mental disorders remains poorly understood despite substantial scientific efforts, due to large clinical heterogeneity and to a lack of tools suitable to map individual variability. Normative modeling is one recently su

Externí odkaz: https://doaj.org/article/2afc6d62e40c4e61a49d1a035d23fe0d

Semiclassical close coupling calculation of the electron capture cross section for N^{4+} + H collisions

Autor: Hurng-Chun Lee, 李宏春

87
Due to the possible applications in astrophysics and plasma physics in recent years, ion-atom scattering problem has become one of the most interesting topics in atomic physics. For electron capture processes in N^{4+}-H scattering, there are

Externí odkaz: http://ndltd.ncl.edu.tw/handle/83124831432614584633

Virtual screening on large scale grids

Autor: Hurng-Chun Lee, Horst Schwichtenberg, Ivan Merelli, Luciano Milanesi, Astrid Maaí, Giulio Rastelli, Vinod Kasam, Martin Hofmann, Vincent Breton, Nicolas Jacq, Yannick Legré, Matthieu Reichstadt, Hsin-Yen Chen, Jean Salzemann, Ying-Ta Wu, Li-Yung Ho, Marc Zimmermann, Emmanuel Medernach, Simon Lin

Publikováno v: Parallel Computing
Parallel Computing, Elsevier, 2007, 33, pp.289-301. ⟨10.1016/j.parco.2007.02.010⟩
Parallel Computing, 2007, 33, pp.289-301. ⟨10.1016/j.parco.2007.02.010⟩
Parallel Computing, Elsevier, 2007, 33, pp.289-301. 〈10.1016/j.parco.2007.02.010〉
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Parallel computing 33 (2007): 289–301. doi:10.1016/j.parco.2007.02.010
info:cnr-pdr/source/autori:Jacq, Nicolas; Breton, Vincent; Chen, Hsin-Yen; Ho, Li-Yung; Hofmann, Martin; Kasam, Vinod; Lee, Hurng-Chun; Legre, Yannick; Lin, Simon C.; Maass, Astrid; Medernach, Emmanuel; Merelli, Ivan; Milanesi, Luciano; Rastelli, Giulio; Reichstadt, Matthieu; Salzemann, Jean; Schwichtenberg, Horst; Wu, Ying-Ta; Zimmermann, Marc/titolo:Virtual screening on large scale grids/doi:10.1016%2Fj.parco.2007.02.010/rivista:Parallel computing/anno:2007/pagina_da:289/pagina_a:301/intervallo_pagine:289–301/volume:33

PCSV, article in press in Parallel Computing; Large scale grids for in silico drug discovery open opportunities of particular interest to neglected and emerging diseases. In 2005 and 2006, we have been able to deploy large scale virtual docking withi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e067f12484c450c0170ff7045dce68f9
https://hdl.handle.net/11380/612460

Deploying Scientific Applications to the PRAGMA Grid Testbed: Strategies and Lessons

Autor: Celine Amoreira, Kim K. Baldridge, Amanda H. Lynch, T. Molina, Peter Arzberger, Hurng-Chun Lee, David Abramson, Hiroshi Takemiya, Suntae Hwang, Susumu Date, Karpjoo Jeong, Zhong-hua Lu, Yusuke Tanimura, Horng-Liang Shih, H. Nakamura, Chi-Wei Wang, Ji Zhu, Wilfred W. Li

Publikováno v: CCGRID

Recent advances in grid infrastructure and middleware development have enabled various types of applications in science and engineering to be deployed on the grid. The characteristics of these applications and the diverse infrastructure and middlewar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::369fbc07e76aabff79a68408debc9313
https://doi.org/10.1109/ccgrid.2006.30

Distributed analysis in ATLAS using GANGA

Autor: Mark Slater, Katarina Pajchel, Johannes Elmsheuser, Benjamin Gaidioz, A. A. Maier, Jakub Moscicki, A. Soroko, Hurng Chun Lee, D.C. Vanderster, Ulrik Egede, W. Reece, Mike Williams, G. A. Cowan, Frederic Brochu, Bjørn Hallvard Samset

Publikováno v: Journal of Physics: Conference Series. 219:072002

Distributed data analysis using Grid resources is one of the fundamental applications in high energy physics to be addressed and realized before the start of LHC data taking. The needs to manage the resources are very high. In every experiment up to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::282d93c972c2e8cbac643649b551a2d6
https://doi.org/10.1088/1742-6596/219/7/072002