Zobrazeno 1 - 10
of 3 330
pro vyhledávání: '"Neureiter A"'
Autor:
Neureiter, Ariadne1 (AUTHOR) ariadne.neureiter@univie.ac.at, Stubenvoll, Marlis1 (AUTHOR), Matthes, Jörg1 (AUTHOR)
Publikováno v:
Journal of Advertising. Aug/Sep2024, Vol. 53 Issue 4, p511-529. 19p.
Disease control experts inspect public health data streams daily for outliers worth investigating, like those corresponding to data quality issues or disease outbreaks. However, they can only examine a few of the thousands of maximally-tied outliers
Externí odkaz:
http://arxiv.org/abs/2401.01459
Autor:
Mehrgan, Kianusch, Thomas, Jens, Saglia, Roberto, Parikh, Taniya, Neureiter, Bianca, Erwin, Peter, Bender, Ralf
Evidence from different probes of the stellar initial mass function (IMF) of massive early-type galaxies (ETGs) has repeatedly converged on IMFs more bottom-heavy than in the Milky Way (MW). This consensus has come under scrutiny due to often contrad
Externí odkaz:
http://arxiv.org/abs/2309.15911
Autor:
Michela Luciano, Helene Sieberer, Peter W. Krenn, Hieu-Hoa Dang, Julia Vetter, Theresa Neuper, Diana Amend, Constantin Blöchl, Christian X. Weichenberger, Anna Eglseer, Michael S. Unger, Ancuela Andosch, Philip Steiner, Daniel Neureiter, Renate Bauer, Laura Hummer, Suzana Tesanovic, Stephanie Binder, Dominik P. Elmer, Helen Strandt, Susanne Schaller, Dirk Strunk, Lisa Pleyer, Richard Greil, Stephan Winkler, Tanja N. Hartmann, Dirk Schmidt-Arras, Christian G. Huber, Fritz Aberger, Jutta Horejs-Hoeck
Publikováno v:
Cell Communication and Signaling, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background Acute myeloid leukemia (AML) is characterized by the abnormal proliferation of myeloid precursor cells and presents significant challenges in treatment due to its heterogeneity. Recently, the NLRP3 inflammasome has emerged as a po
Externí odkaz:
https://doaj.org/article/4d77e7ab0fdf4883bc818ffc7dd4f0d8
Autor:
Schäfer, Georg, Waclawek, Hannes, Riedmann, Sarah, Binder, Christoph, Neureiter, Christian, Huber, Stefan
The four Industry 4.0 design principles information transparency, technical assistance, interconnection, and decentralized decisions pose challenges in integrating information technology (IT) and operational technology (OT) solutions in industrial sy
Externí odkaz:
http://arxiv.org/abs/2305.19735
Autor:
Neureiter, Bianca, Thomas, Jens, Rantala, Antti, Naab, Thorsten, Mehrgan, Kianusch, Saglia, Roberto, de Nicola, Stefano, Bender, Ralf
With its cored surface brightness profile, the elliptical galaxy NGC 5419 appears as a typical high-mass early-type galaxy (ETG). However, the galaxy hosts two distinct nuclei in its center. We use high-signal MUSE (Multi-Unit Spectroscopic Explorer)
Externí odkaz:
http://arxiv.org/abs/2305.03078
We investigate the accuracy and precision of triaxial dynamical orbit models by fitting two dimensional mock observations of a realistic N-body merger simulation resembling a massive early-type galaxy with a supermassive black hole (SMBH). We show th
Externí odkaz:
http://arxiv.org/abs/2212.06173
Autor:
Brigitta Hollósi, Maja Žuvela-Aloise, Anton Neureiter, Melina Frießenbichler, Peter Auferbauer, Jürgen Feigl, Claudia Hahn, Thomas Kolejka
Publikováno v:
City and Environment Interactions, Vol 23, Iss , Pp 100152- (2024)
Understanding and evaluating possible changes in thermal conditions of urban settlements are crucial for risk assessment, adaptation to climate change and sustainable urban development. This study presents the results of a micro-scale measurement cam
Externí odkaz:
https://doaj.org/article/59c18b0af1da4a33bbbde5162ef816f7
Publikováno v:
MNRAS 2022, 517, 3445
We explore the potential of our novel triaxial modeling machinery in recovering the viewing angles, the shape and the orbit distribution of galaxies by using a high-resolution $N$-body merger simulation. Our modelling technique includes several recen
Externí odkaz:
http://arxiv.org/abs/2210.01893
Autor:
Maxime W. Lafarge, Enric Domingo, Korsuk Sirinukunwattana, Ruby Wood, Leslie Samuel, Graeme Murray, Susan D. Richman, Andrew Blake, David Sebag-Montefiore, Simon Gollins, Eckhard Klieser, Daniel Neureiter, Florian Huemer, Richard Greil, Philip Dunne, Philip Quirke, Lukas Weiss, Jens Rittscher, Tim Maughan, Viktor H. Koelzer
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-11 (2024)
Abstract The development of deep learning (DL) models to predict the consensus molecular subtypes (CMS) from histopathology images (imCMS) is a promising and cost-effective strategy to support patient stratification. Here, we investigate whether imCM
Externí odkaz:
https://doaj.org/article/069ba3e2373e479787af9c5a62731f11