2024-04-10 10:53 |
[FZJ-2024-02574]
Book/Dissertation / PhD Thesis
Bustorff, N.
Folding and structural studies of saccharomyces cerevisiae Phosphoglycerate Kinase
Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Schriften des Forschungszentrums Jülich Reihe Schlüsseltechnologien / Key Technologies 282, xxvi, 126 (2024) [10.34734/FZJ-2024-02574]2024 = Dissertation, RWTH Aachen University, 2024
Proteins are synthesized within cells by ribosomes, and their functionality depend on the correct three-dimensional structure obtained through the process of folding. While the classical understanding of protein folding primarily focused on postsynthesisfolding, recent research has shifted its emphasis toward unraveling the intricacies of folding during synthesis. [...]
OpenAccess: PDF;
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2024-04-10 09:54 |
[FZJ-2024-02560]
Book/Dissertation / PhD Thesis
Rhode, S.
Modeling orographic gravity waves from source to termination to improve parameterization schemes in climate models
Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Schriften des Forschungszentrums Jülich Reihe Energie & Umwelt / Energy & Environment 627, xii, ii, 138 (2024) [10.34734/FZJ-2024-02560]2024 = Dissertation, Univ. Wuppertal, 2023
Gravity waves (GWs) are one of the most important drivers of middle atmospheric circulations and strongly affect the polar vortex of the winter hemisphere. These waves are of comparatively small horizontal scales and are generated by a multitude of processes, of which wind flow over orography and convection are the most common. [...]
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2024-04-03 09:00 |
[FZJ-2024-02201]
Book/Report
Badia, R. M. ; Berti-Equille, L. ; da Silva, R. F. ; et al
Integrating HPC, AI, and Workflows for Scientific Data Analysis (Dagstuhl Seminar 23352)
[13/8]
Schloss Dagstuhl – Leibniz-Zentrum für InformatikSchloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Reports 13, 36 pages (2024) [10.4230/DAGREP.13.8.129]2024
The Dagstuhl Seminar 23352, titled 'Integrating HPC, AI, and Workflows for Scientific Data Analysis,' held from August 27 to September 1, 2023, was a significant event focusing on the synergy between High-Performance Computing (HPC), Artificial Intelligence (AI), and scientific workflow technologies. The seminar recognized that modern Big Data analysis in science rests on three pillars: workflow technologies for reproducibility and steering, AI and Machine Learning (ML) for versatile analysis, and HPC for handling large data sets. [...]
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2024-03-28 17:38 |
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2024-03-18 16:41 |
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2024-03-15 09:57 |
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2024-03-15 09:45 |
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2024-03-15 09:18 |
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2024-03-14 17:25 |
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2024-03-14 16:54 |
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