Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Jonas Weiss"'
Autor:
Macé M. Schuurmans, Michal Muszynski, Xiang Li, Ričards Marcinkevičs, Lukas Zimmerli, Diego Monserrat Lopez, Bruno Michel, Jonas Weiss, René Hage, Maurice Roeder, Julia E. Vogt, Thomas Brunschwiler
Publikováno v:
Medicina, Vol 59, Iss 3, p 617 (2023)
Background and Objectives: Remote patient monitoring (RPM) of vital signs and symptoms for lung transplant recipients (LTRs) has become increasingly relevant in many situations. Nevertheless, RPM research integrating multisensory home monitoring in L
Externí odkaz:
https://doaj.org/article/05f36f1284134cabb16cb5b38ad334bf
Autor:
Niels Wessel, Andrej Gapelyuk, Jonas Weiß, Martin Schmidt, Jan F. Kraemer, Karsten Berg, Hagen Malberg, Holger Stepan, Jürgen Kurths
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Spontaneous baroreflex sensitivity (BRS) is a widely used tool for the quantification of the cardiovascular regulation. Numerous groups use the xBRS method, which calculates the cross-correlation between the systolic beat-to-beat blood pressure and t
Externí odkaz:
https://doaj.org/article/2a229804783b4dd28651a2f427803d5c
Simulation of the catchment rainfall-runoff transformation with physically based watershed models is a traditional way to predict streamflow and other hydrological variables at catchment scales. However, the calibration of such models requires large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7265d036d074d4b634b2934245fd7e44
https://doi.org/10.5194/egusphere-egu23-14399
https://doi.org/10.5194/egusphere-egu23-14399
Autor:
Michal Muszynski, Tobias Holzer, Jonas Weiss, Paolo Fraccaro, Maciel Zortea, Thomas Brunschwiler
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
A cognitive and physical stress co-classification effort started with acquisition of a training dataset and generation of machine learning models from 17 heart rate variability parameters. Accuracy was improved with multilayer perceptron models and t
Publikováno v:
InFo Hämatologie + Onkologie. 24:27-29
Publikováno v:
Structural Dynamics, Vol 11, Iss 5, Pp 054301-054301-7 (2024)
The application of dynamic strain holds the potential to manipulate topological invariants in topological quantum materials. This study investigates dynamic structural deformation and strain modulation in the Weyl semimetal WTe2, focusing on the micr
Externí odkaz:
https://doaj.org/article/33f0b5195a824c52a211b8e3ec66e4ce
Publikováno v:
Journal of Biomedical Materials Research Part B: Applied Biomaterials. 108:3124-3133
The characterization of degradation of biodegradable materials for tissue regeneration is classically carried out in three steps: in vitro degradation analysis, in vitro cell culture, and in vivo animal experiments. Each step involves an increasing c
Autor:
Tommaso Stecconi, Roberto Guido, Luca Berchialla, Antonio La Porta, Jonas Weiss, Youri Popoff, Mattia Halter, Marilyne Sousa, Folkert Horst, Diana Dávila, Ute Drechsler, Regina Dittmann, Bert Jan Offrein, Valeria Bragaglia
Publikováno v:
Advanced electronic materials 8(10), 2200448 (2022). doi:10.1002/aelm.202200448
Advanced electronic materials 8(10), 2200448-(2022). doi:10.1002/aelm.202200448
Advanced Electronic Materials, 8 (10)
Advanced electronic materials 8(10), 2200448-(2022). doi:10.1002/aelm.202200448
Advanced Electronic Materials, 8 (10)
The in-memory computing paradigm aims at overcoming the intrinsic inefficiencies of Von-Neumann computers by reducing the data-transport per arithmetic operation. Crossbar arrays of multilevel memristive devices enable efficient calculations of matri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::542fcf2d30d8d3460aa9e3a76c516b00