Zobrazeno 1 - 10
of 3 522
pro vyhledávání: '"Lehn, P"'
Electroencephalography (EEG) research typically focuses on tasks with narrowly defined objectives, but recent studies are expanding into the use of unlabeled data within larger models, aiming for a broader range of applications. This addresses a crit
Externí odkaz:
http://arxiv.org/abs/2408.08065
We show that under mild assumptions, the Fano surfaces of lines on smooth cubic threefolds are the only smooth subvarieties of abelian varieties whose Tannaka group for the convolution of perverse sheaves is an exceptional simple group. This in parti
Externí odkaz:
http://arxiv.org/abs/2406.07401
Autor:
Dag Rune Stormoen, Signe Lehn, Kent W. Mouw, Zoltan Szallasi, Linea Cecilie Melchior, Line Hammer Dohn, Judit Börcsok, Maria Rossing, Birgitte Grønkaer Toft, Helle Pappot
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Background Metastatic urothelial carcinoma (mUC) has a poor prognosis, despite recent therapeutic advancements. Prostaglandin Reductase 1 (PTGR1) is essential for activating acylfulvens, a promising class of drugs for treating a subset of ur
Externí odkaz:
https://doaj.org/article/cbe03a455d9d4cd08c3d82aaa8d9d930
Autor:
Jianping Li, Reid C. Van Lehn
Publikováno v:
ACS Omega, Vol 9, Iss 39, Pp 40759-40768 (2024)
Externí odkaz:
https://doaj.org/article/c5672c6d74814fd4b9c9b2fcfafb2771
Autor:
Gjølbye, Anders, Lehn-Schiøler, William, Jónsdóttir, Áshildur, Arnardóttir, Bergdís, Hansen, Lars Kai
Deep learning models are complex due to their size, structure, and inherent randomness in training procedures. Additional complexity arises from the selection of datasets and inductive biases. Addressing these challenges for explainability, Kim et al
Externí odkaz:
http://arxiv.org/abs/2307.12745
Graph Neural Networks (GNNs) have emerged as a prominent class of data-driven methods for molecular property prediction. However, a key limitation of typical GNN models is their inability to quantify uncertainties in the predictions. This capability
Externí odkaz:
http://arxiv.org/abs/2307.10438
Autor:
Andreas G. Nerlich, Stephanie Panzer, Christine Lehn, Christian Hamann, Simon T. Donell, Oliver K. Peschel
Publikováno v:
Heritage, Vol 7, Iss 7, Pp 3372-3392 (2024)
This interdisciplinary investigation of the human remains of Balduin Helm, one of the most important abbots of the Fürstenfeld monastery, provides novel information on this historic individual. This is particularly interesting since Balduin, during
Externí odkaz:
https://doaj.org/article/02a59d82139645b3a4c33a7d1aab3086
Autor:
Kamenova, Ljudmila, Lehn, Christian
We prove non-hyperbolicity of primitive symplectic varieties with $b_2 \geq 5$ that satisfy the rational SYZ conjecture. If in addition $b_2 \geq 7$, we establish that the Kobayashi pseudometric vanishes identically. This in particular applies to all
Externí odkaz:
http://arxiv.org/abs/2212.11411
Publikováno v:
Nordic Journal of Systematic Reviews in Education, Vol 2, Iss 1 (2024)
The main objective of this scoping review is to collect and systematically map research literature on pedagogical strategies and activities that target the relationship between theory and practice in clinical education within undergraduate healthcare
Externí odkaz:
https://doaj.org/article/eab143e1453c4508926533a9bd811b65
Autor:
Maulee Sheth, Manju Sharma, Maria Lehn, HasanAl Reza, Takanori Takebe, Vinita Takiar, Trisha Wise-Draper, Leyla Esfandiari
Publikováno v:
APL Bioengineering, Vol 8, Iss 3, Pp 036106-036106-13 (2024)
Extracellular biophysical cues such as matrix stiffness are key stimuli tuning cell fate and affecting tumor progression in vivo. However, it remains unclear how cancer spheroids in a 3D microenvironment perceive matrix mechanical stiffness stimuli a
Externí odkaz:
https://doaj.org/article/6437b49be11f4c28824d29df5db0a4ae