Zobrazeno 1 - 10
of 880
pro vyhledávání: '"Kronenberger, P."'
Publikováno v:
EPTCS 370, 2022, pp. 17-33
Otto's Theorem characterises the bisimulation-invariant PTIME queries over graphs as exactly those that can be formulated in the polyadic mu-calculus, hinging on the Immerman-Vardi Theorem which characterises PTIME (over ordered structures) by First-
Externí odkaz:
http://arxiv.org/abs/2209.10311
Publikováno v:
Oculum Ensaios, Vol 21 (2024)
Dois eventos excepcionais e opostos marcaram os idos de janeiro de 2023 em Brasília: celebração pela posse do Presidente Lula no dia 1º e o vandalismo de uma semana depois. Eles ocorreram na Esplanada dos Ministérios e na Praça dos Três Podere
Externí odkaz:
https://doaj.org/article/ba673861912d4ed3b527a1d59ca9e909
Autor:
Caitlin A. Martin‐Wagar, Katelyn A. Melcher, Sarah E. Attaway, Brooke L. Bennett, Connor J. Thompson, Oscar Kronenberger, Taylor E. Penwell
Publikováno v:
Obesity Science & Practice, Vol 10, Iss 4, Pp n/a-n/a (2024)
Abstract Objective Commonly used terms like “obese person” have been identified as stigmatizing by those with lived experience. Thus, this study sought to revise a commonly used measure of weight stigmatizing attitudes, the Attitudes Toward Obese
Externí odkaz:
https://doaj.org/article/e7e8e16502dd499d8c58e37f04dfa654
Autor:
Stephan Spahn, Fabian Kleinhenz, Ekaterina Shevchenko, Aaron Stahl, Yvonne Rasen, Christine Geisler, Kristina Ruhm, Marion Klaumuenzer, Thales Kronenberger, Stefan A. Laufer, Holly Sundberg-Malek, Khac Cuong Bui, Marius Horger, Saskia Biskup, Klaus Schulze-Osthoff, Markus Templin, Nisar P. Malek, Antti Poso, Michael Bitzer
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Fibroblast growth factor receptor (FGFR)−2 can be inhibited by FGFR-selective or non-selective tyrosine kinase inhibitors (TKIs). Selective TKIs are approved for cholangiocarcinoma (CCA) with FGFR2 fusions; however, their application is li
Externí odkaz:
https://doaj.org/article/4e23905b41b4488d8d1d8c66053fe10f
Publikováno v:
In: Tim Fingerscheidt, Hanno Gottschalk, Sebastian Houben (eds.): "Deep Neural Networks and Data for Automated Driving", pp. 225--250, Springer Nature, Switzerland, 2022
Calibrated confidence estimates obtained from neural networks are crucial, particularly for safety-critical applications such as autonomous driving or medical image diagnosis. However, although the task of confidence calibration has been investigated
Externí odkaz:
http://arxiv.org/abs/2202.12785
Modern neural networks have found to be miscalibrated in terms of confidence calibration, i.e., their predicted confidence scores do not reflect the observed accuracy or precision. Recent work has introduced methods for post-hoc confidence calibratio
Externí odkaz:
http://arxiv.org/abs/2109.10092
Autor:
Karen S. Yee, Costel Chirila, Eric Davenport, Deirdre Mladsi, Christine Barnett, William G. Kronenberger
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 18, Iss 1, Pp 1-12 (2023)
Abstract Background Norm-based scores used to assess cognitive ability have clinical value when describing functioning of patients with neuronopathic disorders compared with unaffected, same-age peers. However, they have limitations when used to asse
Externí odkaz:
https://doaj.org/article/12f8178ec64645728895f2043dbb59c6
Autor:
Maurício T. Tavares, Arne Krüger, Sun L. Rei Yan, Karoline B. Waitman, Vinícius M. Gomes, Daffiny Sumam de Oliveira, Franciarli Paz, Sebastian Hilscher, Mike Schutkowski, Wolfgang Sippl, Claudia Ruiz, Mônica F. Z. J. Toledo, Neuza M. A. Hassimotto, João A. Machado-Neto, Antti Poso, Michael D. Cameron, Thomas D. Bannister, Giuseppe Palmisano, Carsten Wrenger, Thales Kronenberger, Roberto Parise-Filho
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-20 (2023)
Abstract We report a series of 1,3-diphenylureido hydroxamate HDAC inhibitors evaluated against sensitive and drug-resistant P. falciparum strains. Compounds 8a–d show potent antiplasmodial activity, indicating that a phenyl spacer allows improved
Externí odkaz:
https://doaj.org/article/661e63afc62b4a918f5086fa3323ea43
Autor:
Julia de Paula Dutra, Gustavo Scheiffer, Thales Kronenberger, Lucas Julian Cruz Gomes, Isadora Zanzarini, Kelly Karoline dos Santos, Arun K. Tonduru, Antti Poso, Fabiane Gomes de Moraes Rego, Geraldo Picheth, Glaucio Valdameri, Vivian Rotuno Moure
Publikováno v:
EXCLI Journal : Experimental and Clinical Sciences, Vol 22, Pp 1155-1172 (2023)
A current clinical challenge in cancer is multidrug resistance (MDR) mediated by ABC transporters. Breast cancer resistance protein (BCRP) or ABCG2 transporter is one of the most important ABC transporters implicated in MDR and the use of inhibitors
Externí odkaz:
https://doaj.org/article/89c372996acc4eafb0e43f13022f3e07
Autor:
Houben, Sebastian, Abrecht, Stephanie, Akila, Maram, Bär, Andreas, Brockherde, Felix, Feifel, Patrick, Fingscheidt, Tim, Gannamaneni, Sujan Sai, Ghobadi, Seyed Eghbal, Hammam, Ahmed, Haselhoff, Anselm, Hauser, Felix, Heinzemann, Christian, Hoffmann, Marco, Kapoor, Nikhil, Kappel, Falk, Klingner, Marvin, Kronenberger, Jan, Küppers, Fabian, Löhdefink, Jonas, Mlynarski, Michael, Mock, Michael, Mualla, Firas, Pavlitskaya, Svetlana, Poretschkin, Maximilian, Pohl, Alexander, Ravi-Kumar, Varun, Rosenzweig, Julia, Rottmann, Matthias, Rüping, Stefan, Sämann, Timo, Schneider, Jan David, Schulz, Elena, Schwalbe, Gesina, Sicking, Joachim, Srivastava, Toshika, Varghese, Serin, Weber, Michael, Wirkert, Sebastian, Wirtz, Tim, Woehrle, Matthias
Publikováno v:
Fingscheidt, T., Gottschalk, H., Houben, S. (eds) Deep Neural Networks and Data for Automated Driving, Springer, Cham (2022)
The use of deep neural networks (DNNs) in safety-critical applications like mobile health and autonomous driving is challenging due to numerous model-inherent shortcomings. These shortcomings are diverse and range from a lack of generalization over i
Externí odkaz:
http://arxiv.org/abs/2104.14235