Zobrazeno 1 - 10
of 19 182
pro vyhledávání: '"A, Buchwald"'
Autor:
Domingo-Relloso, Arce, Zhang, Yuchen, Wang, Ziqing, Suchy-Dicey, Astrid M, Buchwald, Dedra S, Navas-Acien, Ana, Schwartz, Joel, Berhane, Kiros, Coull, Brent A, Valeri, Linda
Not accounting for competing events in survival analysis can lead to biased estimates, as individuals who die from other causes do not have the opportunity to develop the event of interest. Formal definitions and considerations for causal effects in
Externí odkaz:
http://arxiv.org/abs/2412.13959
Autor:
Bartsch, Jan, Barakat, Ahmed A., Buchwald, Simon, Ciaramella, Gabriele, Volkwein, Stefan, Weig, Eva M.
Physical models often contain unknown functions and relations. In order to gain more insights into the nature of physical processes, these unknown functions have to be identified or reconstructed. Mathematically, we can formulate this research questi
Externí odkaz:
http://arxiv.org/abs/2412.07301
User engagement, cognitive participation, and motivation during task execution in physical human-robot interaction are crucial for motor learning. These factors are especially important in contexts like robotic rehabilitation, where neuroplasticity i
Externí odkaz:
http://arxiv.org/abs/2411.18587
Physical models often contain unknown functions and relations. The goal of our work is to answer the question of how one should excite or control a system under consideration in an appropriate way to be able to reconstruct an unknown nonlinear relati
Externí odkaz:
http://arxiv.org/abs/2405.12153
Autor:
von Buchwald, Theo Juncker, Ziems, Karl Michael, Kjellgren, Erik Rosendahl, Sauer, Stephan P. A., Kongsted, Jacob, Coriani, Sonia
Publikováno v:
J. Chem. Theory Comput. 2024, 20, 16, 7093-7101
The prediction of spectral properties via linear response (LR) theory is an important tool in quantum chemistry for understanding photo-induced processes in molecular systems. With the advances of quantum computing, we recently adapted this method fo
Externí odkaz:
http://arxiv.org/abs/2404.16586
Snowman is the consensus protocol implemented by the Avalanche blockchain and is part of the Snow family of protocols, first introduced through the original Avalanche leaderless consensus protocol. A major advantage of Snowman is that each consensus
Externí odkaz:
http://arxiv.org/abs/2404.14250
Autor:
Blumenthal, Moritz, Fantinato, Chiara, Unterberg-Buchwald, Christina, Haltmeier, Markus, Wang, Xiaoqing, Uecker, Martin
Purpose: To develop a neural network architecture for improved calibrationless reconstruction of radial data when no ground truth is available for training. Methods: NLINV-Net is a model-based neural network architecture that directly estimates image
Externí odkaz:
http://arxiv.org/abs/2402.06550
Publikováno v:
Scientific Reports 2024;14:3754
In recent years, a variety of deep learning networks for cardiac MRI (CMR) segmentation have been developed and analyzed. However, nearly all of them are focused on cine CMR under breathold. In this work, accuracy of deep learning methods is assessed
Externí odkaz:
http://arxiv.org/abs/2311.14049
In Nuclear Magnetic Resonance (NMR), it is of crucial importance to have an accurate knowledge of the sample probability distribution corresponding to inhomogeneities of the magnetic fields. An accurate identification of the sample distribution requi
Externí odkaz:
http://arxiv.org/abs/2402.12379
Autor:
Elmira Flem, Celine Mouawad, Arto A. Palmu, Heather Platt, Kelly D. Johnson, E. David McIntosh, Jacobo Abadi, Ulrike K. Buchwald, Kristen Feemster
Publikováno v:
Expert Review of Vaccines, Vol 23, Iss 1, Pp 997-1010 (2024)
Introduction Infant immunization programs using pneumococcal conjugate vaccines (PCVs) have reduced the rates of pneumococcal disease through direct vaccine-induced protection in vaccinated children and through indirect protection in non-vaccinated c
Externí odkaz:
https://doaj.org/article/5fc4834eb542452fa1ce111541ca8cee
