Zobrazeno 1 - 10
of 5 916
pro vyhledávání: '"Stender, A."'
Autor:
Ebel, Henrik, van Delden, Jan, Lüddecke, Timo, Borse, Aditya, Gulakala, Rutwik, Stoffel, Marcus, Yadav, Manish, Stender, Merten, Schindler, Leon, de Payrebrune, Kristin Miriam, Raff, Maximilian, Remy, C. David, Röder, Benedict, Eberhard, Peter
Data-based methods have gained increasing importance in engineering, especially but not only driven by successes with deep artificial neural networks. Success stories are prevalent, e.g., in areas such as data-driven modeling, control and automation,
Externí odkaz:
http://arxiv.org/abs/2410.18358
Mechanical systems exhibit complex dynamical behavior from harmonic oscillations to chaotic motion. The dynamics undergo qualitative changes due to changes to internal system parameters like stiffness and changes to external forcing. Mapping out comp
Externí odkaz:
http://arxiv.org/abs/2408.14987
The quest to understand structure-function relationships in networks across scientific disciplines has intensified. However, the optimal network architecture remains elusive, particularly for complex information processing. Therefore, we investigate
Externí odkaz:
http://arxiv.org/abs/2403.15869
Autor:
Ehlers, Svenja, Wagner, Niklas A., Scherzl, Annamaria, Klein, Marco, Hoffmann, Norbert, Stender, Merten
The measurement of deep water gravity wave elevations using in-situ devices, such as wave gauges, typically yields spatially sparse data. This sparsity arises from the deployment of a limited number of gauges due to their installation effort and high
Externí odkaz:
http://arxiv.org/abs/2401.03708
Autor:
ANNIE Collaboration, Ascencio-Sosa, M., Bagdasarian, Z., Beacom, J., Bergevin, M., Breisch, M., Vera, G. Caceres, Dazeley, S., Doran, S., Drakopoulou, E., Edayath, S., Edwards, R., Eisch, J., Feng, Y., Fischer, V., Foster, R., Gardiner, S., Gokhale, S., Hackspacher, P., Hagner, C., He, J., Kaiser, B., Krennrich, F., Lachenmaier, T., Lemmons, F., Maksimovic, D., Malek, M., Martyn, J., Mastbaum, A., McGivern, C., Minock, J., Nieslony, M., O'Flaherty, M., Gann, G. D. Orebi, Pershing, T., Pickard, L., Poonthottathil, N., Reyes, C., Richards, B., Rosero, R., Sanchez, M. C., Schmid, D. T., Smy, M., Stender, M., Sutton, A., Svoboda, R., Tiras, E., Vagins, M., Veeraraghavan, V., Wang, J., Weinstein, A., Wetstein, M., Wurm, M., Yeh, M., Zhang, T.
The Accelerator Neutrino Neutron Interaction Experiment (ANNIE) is a 26-ton water Cherenkov neutrino detector installed on the Booster Neutrino Beam (BNB) at Fermilab. Its main physics goals are to perform a measurement of the neutron yield from neut
Externí odkaz:
http://arxiv.org/abs/2312.09335
Current fog systems rely on centralized and strongly consistent services for configuration management originally designed for cloud systems. In the geo-distributed fog, such systems can exhibit high communication latency or become unavailable in case
Externí odkaz:
http://arxiv.org/abs/2306.01595
Autor:
Ehlers, Svenja, Klein, Marco, Heinlein, Alexander, Wedler, Mathies, Desmars, Nicolas, Hoffmann, Norbert, Stender, Merten
Publikováno v:
Ocean Engineering (2023)
Accurate short-term predictions of phase-resolved water wave conditions are crucial for decision-making in ocean engineering. However, the initialization of remote-sensing-based wave prediction models first requires a reconstruction of wave surfaces
Externí odkaz:
http://arxiv.org/abs/2305.11913
Publikováno v:
Lipids in Health and Disease, Vol 23, Iss 1, Pp 1-4 (2024)
Abstract Mendelian randomization (MR) is a powerful epidemiological method for causal inference. However, its recent surge in popularity has brought two concerning trends. First, the public availability of summary results from genome-wide association
Externí odkaz:
https://doaj.org/article/9cb1e380191845a392b58f0aeef4866a
Autor:
Clausen, Jørgen Stender, author1
Publikováno v:
Ludwig Holberg: A European Writer: A Study in Influence and Reception. :104-138
Autor:
Leandro R.D. Sanz, Nicolas Lejeune, Emilie Szymkowicz, Estelle A.C. Bonin, Rajanikant Panda, Arianna Sala, Aurore Thibaut, Rodrigo Huerta-Gutierrez, Nadia Dardenne, David Dikenstein, Sébastien Van Goethem, Didier Ledoux, Roland Hustinx, Johan Stender, Neal M. Farber, Ross D. Zafonte, Nicholas D. Schiff, Steven Laureys, Olivia Gosseries
Publikováno v:
EClinicalMedicine, Vol 78, Iss , Pp 102925- (2024)
Summary: Background: Apomorphine is a dopaminergic candidate therapy to improve recovery in patients with prolonged disorders of consciousness (PDoC). Behavioural improvements were previously described in non-controlled case series, but its efficacy
Externí odkaz:
https://doaj.org/article/e5bbe7257d854c5c841609e5b71e6a45