Zobrazeno 1 - 10
of 8 125
pro vyhledávání: '"Hof, P"'
Robotic simulators provide cost-effective and risk-free virtual environments for studying robotic designs, control algorithms, and sensor integrations. They typically host extensive libraries of sensors and actuators that facilitate rapid prototyping
Externí odkaz:
http://arxiv.org/abs/2411.03176
This paper addresses the problem of consistently estimating a continuous-time (CT) diffusively coupled network (DCN) to identify physical components in a physical network. We develop a three-step frequency-domain identification method for linear CT D
Externí odkaz:
http://arxiv.org/abs/2410.18773
Autor:
Hof, Barbara
The European Organization for Nuclear Research (CERN) in Geneva today operates the world`s largest particle accelerator complex and is a much-cited prototype for high-profile international collaboration. What is less well known, however, is that when
Externí odkaz:
http://arxiv.org/abs/2410.15969
Autor:
Hof, Paul M. J. Van den, Shi, Shengling, Fonken, Stefanie J. M., Ramaswamy, Karthik R., Hjalmarsson, Håkan, Dankers, Arne G.
When estimating models of of a multivariable dynamic system, a typical condition for consistency is to require the input signals to be persistently exciting, which is guaranteed if the input spectrum is positive definite for a sufficient number of fr
Externí odkaz:
http://arxiv.org/abs/2409.03883
Combining data from various sources empowers researchers to explore innovative questions, for example those raised by conducting healthcare monitoring studies. However, the lack of a unique identifier often poses challenges. Record linkage procedures
Externí odkaz:
http://arxiv.org/abs/2407.06835
Depending on the type of flow the transition to turbulence can take one of two forms, either turbulence arises from a sequence of instabilities, or from the spatial proliferation of transiently chaotic domains, a process analogous to directed percola
Externí odkaz:
http://arxiv.org/abs/2311.11474
In clinical and biomedical research, multiple high-dimensional datasets are nowadays routinely collected from omics and imaging devices. Multivariate methods, such as Canonical Correlation Analysis (CCA), integrate two (or more) datasets to discover
Externí odkaz:
http://arxiv.org/abs/2310.02169
Autor:
Juliano Sarmento Cabral, Alma Mendoza‐Ponce, André Pinto daSilva, Johannes Oberpriller, Anne Mimet, Julia Kieslinger, Thomas Berger, Jana Blechschmidt, Maximilian Brönner, Alice Classen, Stefan Fallert, Florian Hartig, Christian Hof, Markus Hoffmann, Thomas Knoke, Andreas Krause, Anne Lewerentz, Perdita Pohle, Uta Raeder, Anja Rammig, Sarah Redlich, Sven Rubanschi, Christian Stetter, Wolfgang Weisser, Daniel Vedder, Peter H. Verburg, Damaris Zurell
Publikováno v:
People and Nature, Vol 6, Iss 5, Pp 1716-1741 (2024)
Abstract Current approaches to project spatial biodiversity responses to climate change mainly focus on the direct effects of climate on species while regarding land use and land cover as constant or prescribed by global land‐use scenarios. However
Externí odkaz:
https://doaj.org/article/35bbfe6f4cc24faebe05717e4906341d
Publikováno v:
Environmental Sciences Europe, Vol 36, Iss 1, Pp 1-17 (2024)
Abstract Background Water bodies are affected by chemical contamination, including micropollutants, which is not fully captured by conventional chemical monitoring methods. The inclusion of integrative, effect-based in vivo and in vitro methods in st
Externí odkaz:
https://doaj.org/article/eee16a0661f4485d890a210d52235ec3
Autor:
Amber Penning, Sarah Snoeck, Oxana Garritsen, Giorgia Tosoni, Amber Hof, Fleur de Boer, Joëlle van Hasenbroek, Lin Zhang, Nicky Thrupp, Katleen Craessaerts, Mark Fiers, Evgenia Salta
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The generation of new neurons at the hippocampal neurogenic niche, known as adult hippocampal neurogenesis (AHN), and its impairment, have been implicated in Alzheimer’s disease (AD). MicroRNA-132 (miR-132), the most consistently downregul
Externí odkaz:
https://doaj.org/article/594b1963cda84dbe8489550870eb8dbb