Zobrazeno 1 - 10
of 1 457 832
pro vyhledávání: '"A. Hans"'
Autor:
Christof Rottenburger, Michael Hentschel, Markus Fürstner, Lisa McDougall, Danijela Kottoros, Felix Kaul, Rosalba Mansi, Melpomeni Fani, A. Hans Vija, Roger Schibli, Susanne Geistlich, Martin Behe, Emanuel R. Christ, Damian Wild
Publikováno v:
EJNMMI Research, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Background A new generation of radiolabeled minigastrin analogs delivers low radiation doses to kidneys and are considered relatively stable due to less enzymatic degradation. Nevertheless, relatively low tumor radiation doses in patients in
Externí odkaz:
https://doaj.org/article/b2acaa6880e14783bd5cb5fd43fcbc99
Publikováno v:
Journal of Imaging, Vol 9, Iss 10, p 221 (2023)
Our study explores the feasibility of quantum computing in emission tomography reconstruction, addressing a noisy ill-conditioned inverse problem. In current clinical practice, this is typically solved by iterative methods minimizing a L2 norm. After
Externí odkaz:
https://doaj.org/article/b3c1e84d4ae34fa6ae10c35c77e96799
Autor:
Lang, Hans-Dieter, Nyffenegger, Michel A., Keller, Sven, Stöckli, Patrik, Hoffman, Nathan A., Mathis, Heinz, Zhang, Xingqi
Reconfigurable Intelligent Surfaces (RISs) can be designed in various ways. A previously proposed semidefinite relaxation-based optimization method for maximizing power transfer efficiency showed promise, but earlier results were only theoretical. Th
Externí odkaz:
http://arxiv.org/abs/2409.12758
Graph neural networks (GNNs) are a type of neural network capable of learning on graph-structured data. However, training GNNs on large-scale graphs is challenging due to iterative aggregations of high-dimensional features from neighboring vertices w
Externí odkaz:
http://arxiv.org/abs/2409.11129
Autor:
Siemiginowska, Aneta, Burke, Douglas, Günther, Hans Moritz, Lee, Nicholas P., McLaughlin, Warren, Principe, David A., Cheer, Harlan, Fruscione, Antonella, Laurino, Omar, McDowell, Jonathan, Terrell, Marie
We present an overview of Sherpa, an open source Python project, and discuss its development history, broad design concepts and capabilities. Sherpa contains powerful tools for combining parametric models into complex expressions that can be fit to d
Externí odkaz:
http://arxiv.org/abs/2409.10400
Autor:
Thanathibodee, Thanawuth, Robinson, Connor, Calvet, Nuria, Espaillat, Catherine, Pittman, Caeley, Arulanantham, Nicole, France, Kevin, Günther, Hans Moritz, Chang, Seok-Jun, Schneider, P. Christian
The C IV doublet in the UV has long been associated with accretion in T Tauri stars. However, it is still unclear where and how the lines are formed. Here, we present a new C IV line model based on the currently available accretion shock and accretio
Externí odkaz:
http://arxiv.org/abs/2409.10361
Autor:
Beukers, Hans K. C., Waas, Christopher, Pasini, Matteo, van Ommen, Hendrik B., Codreanu, Nina, Brevoord, Julia M., Turan, Tim, Iuliano, Mariagrazia, Ademi, Zarije, Taminiau, Tim H., Hanson, Ronald
Solid-state quantum registers consisting of optically active electron spins with nearby nuclear spins are promising building blocks for future quantum technologies. For electron spin-1 registers, dynamical decoupling (DD) quantum gates have been deve
Externí odkaz:
http://arxiv.org/abs/2409.08977
Bessel functions are critical in scientific computing for applications such as machine learning, protein structure modeling, and robotics. However, currently, available routines lack precision or fail for certain input ranges, such as when the order
Externí odkaz:
http://arxiv.org/abs/2409.08729
Stochastic Reinforcement Learning with Stability Guarantees for Control of Unknown Nonlinear Systems
Designing a stabilizing controller for nonlinear systems is a challenging task, especially for high-dimensional problems with unknown dynamics. Traditional reinforcement learning algorithms applied to stabilization tasks tend to drive the system clos
Externí odkaz:
http://arxiv.org/abs/2409.08382
Autor:
Das, Supratim, Rafie, Mahdie, Kammer, Paula, Skou, Søren T., Grønne, Dorte T., Roos, Ewa M., Hajek, André, König, Hans-Helmut, Ullaha, Md Shihab, Probul, Niklas, Baumbacha, Jan, Baumbach, Linda
Background: Patient-reported survey data are used to train prognostic models aimed at improving healthcare. However, such data are typically available multi-centric and, for privacy reasons, cannot easily be centralized in one data repository. Models
Externí odkaz:
http://arxiv.org/abs/2409.07997