Zobrazeno 1 - 10
of 1 848
pro vyhledávání: '"P. Graeber"'
Deep learning algorithms - typically consisting of a class of deep neural networks trained by a stochastic gradient descent (SGD) optimization method - are nowadays the key ingredients in many artificial intelligence (AI) systems and have revolutioni
Externí odkaz:
http://arxiv.org/abs/2407.08100
Autor:
Hoogendoorn, Levi, Huertas, Mauricio, Nitz, Phillip, Qi, Naiyu, Baller, Johannes, Prinz, Carsten, Graeber, Gustav
Sorbents are promising materials for applications in atmospheric water harvesting, thermal energy storage, and passive cooling, thereby addressing central challenges related to water scarcity and the global energy transition. Recently, hygroscopic hy
Externí odkaz:
http://arxiv.org/abs/2311.03218
Moisture-capturing hydrogels have emerged as attractive sorbent materials capable of converting ambient humidity into liquid water. Recent works have demonstrated exceptional water capture capabilities of hydrogels, while simultaneously, exploring di
Externí odkaz:
http://arxiv.org/abs/2311.01239
Autor:
Marvin Reis, Niels Michalski, Susanne Bartig, Elisa Wulkotte, Christina Poethko-Müller, Daniel Graeber, Angelika Schaffrath Rosario, Claudia Hövener, Jens Hoebel
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Combining the frameworks of fundamental causes theory and diffusion of innovation, scholars had anticipated a delayed COVID-19 vaccination uptake for people in lower socioeconomic position depending on the socioeconomic context. We qualify t
Externí odkaz:
https://doaj.org/article/eea622a319414176bb8a81d634030d90
Autor:
Carlos D. Díaz-Marín, Lorenzo Masetti, Miles A. Roper, Kezia E. Hector, Yang Zhong, Zhengmao Lu, Omer R. Caylan, Gustav Graeber, Jeffrey C. Grossman
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Moisture-capturing materials can enable potentially game-changing energy-water technologies such as atmospheric water production, heat storage, and passive cooling. Hydrogel composites recently emerged as outstanding moisture-capturing mater
Externí odkaz:
https://doaj.org/article/8bf3c09b28ab41d18ce100f3fcbce90e
Autor:
Elisabeth Roider, Alexandra I. T. Lakatos, Alicia M. McConnell, Poguang Wang, Alina Mueller, Akinori Kawakami, Jennifer Tsoi, Botond L. Szabolcs, Anna A. Ascsillán, Yusuke Suita, Vivien Igras, Jennifer A. Lo, Jennifer J. Hsiao, Rebecca Lapides, Dorottya M. P. Pál, Anna S. Lengyel, Alexander Navarini, Arimichi Okazaki, Othon Iliopoulos, István Németh, Thomas G. Graeber, Leonard Zon, Roger W. Giese, Lajos V. Kemeny, David E. Fisher
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Microphthalmia-associated transcription factor (MITF) is a master regulator of melanocyte function, development and plays a significant role in melanoma pathogenesis. MITF genomic amplification promotes melanoma development, and it can facil
Externí odkaz:
https://doaj.org/article/cc94d2d3111647cfb25391c16c6a03e3
In this article we study high-dimensional approximation capacities of shallow and deep artificial neural networks (ANNs) with the rectified linear unit (ReLU) activation. In particular, it is a key contribution of this work to reveal that for all $a,
Externí odkaz:
http://arxiv.org/abs/2301.08284
Autor:
Friedemann G. Ringwald, Lena Wucherpfennig, Niclas Hagen, Jonas Mücke, Sebastian Kaletta, Monika Eichinger, Mirjam Stahl, Simon M. F. Triphan, Patricia Leutz-Schmidt, Sonja Gestewitz, Simon Y. Graeber, Hans-Ulrich Kauczor, Abdulsattar Alrajab, Jens-Peter Schenk, Olaf Sommerburg, Marcus A. Mall, Petra Knaup, Mark O. Wielpütz, Urs Eisenmann
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
IntroductionSegmentation of lung structures in medical imaging is crucial for the application of automated post-processing steps on lung diseases like cystic fibrosis (CF). Recently, machine learning methods, particularly neural networks, have demons
Externí odkaz:
https://doaj.org/article/c357ed5510a04bf597f2f82ce4f81936
Autor:
Leïla Bechtella, Jin Chunsheng, Kerstin Fentker, Güney R. Ertürk, Marc Safferthal, Łukasz Polewski, Michael Götze, Simon Y. Graeber, Gaël M. Vos, Weston B. Struwe, Marcus A. Mall, Philipp Mertins, Niclas G. Karlsson, Kevin Pagel
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract The dense O-glycosylation of mucins plays an important role in the defensive properties of the mucus hydrogel. Aberrant glycosylation is often correlated with inflammation and pathology such as COPD, cancer, and Crohn’s disease. The inhere
Externí odkaz:
https://doaj.org/article/4bdedb1fc9504ebeaa9b03b3bb8ac159
Autor:
Walter Maetzler, Leonor Correia Guedes, Kirsten Nele Emmert, Jennifer Kudelka, Hanna Luise Hildesheim, Emma Paulides, Hayley Connolly, Kristen Davies, Valentina Dilda, Teemu Ahmaniemi, Luisa Avedano, Raquel Bouça-Machado, Michael Chambers, Meenakshi Chatterjee, Peter Gallagher, Johanna Graeber, Corina Maetzler, Hanna Kaduszkiewicz, Norelee Kennedy, Victoria Macrae, Laura Carrasco Marín, Anusha Moses, Alessandro Padovani, Andrea Pilotto, Natasha Ratcliffe, Ralf Reilmann, Madalena Rosario, Stefan Schreiber, Dina De Sousa, Geert Van Gassen, Lori Ann Warring, Klaus Seppi, C. Janneke van der Woude, Joaquim J. Ferreira, Wan-Fai Ng
Publikováno v:
Digital Biomarkers, Vol 8, Iss 1, Pp 30-39 (2024)
Background: Fatigue is a prominent symptom in many diseases and is strongly associated with impaired daily function. The measurement of daily function is currently almost always done with questionnaires, which are subjective and imprecise. With the r
Externí odkaz:
https://doaj.org/article/660828ad7ec546d1a6dc10a64e7a913d