Zobrazeno 1 - 10
of 631
pro vyhledávání: '"Maximilian R"'
Publikováno v:
Royal Society Open Science, Vol 11, Iss 4 (2024)
Tasmanian devils are endangered by a transmissible cancer known as Tasmanian devil facial tumour 1 (DFT1). A 2020 study by Patton et al. (Science 370, eabb9772 (doi:10.1126/science.abb9772)) used genome data from DFT1 tumours to produce a dated phylo
Externí odkaz:
https://doaj.org/article/715ab750a0fb4b8683913a87e17b416b
Publikováno v:
Communications Chemistry, Vol 6, Iss 1, Pp 1-9 (2023)
Abstract Single Atom Catalysis (SAC) is an expanding field of heterogeneous catalysis in which single metallic atoms embedded in different materials catalyze a chemical reaction, but these new catalytic materials still lack fundamental understanding
Externí odkaz:
https://doaj.org/article/3c67427da0034338ae6178fc2a915c7e
Publikováno v:
Computation, Vol 12, Iss 5, p 89 (2024)
This study comprehensively analyzes the impact of the novel HybridBridge method, developed by the authors, for generating a 3D mesh at contact points within packed beds within the effective thermal conductivity. It compares HybridBridge with alternat
Externí odkaz:
https://doaj.org/article/e0cd4cef8c7346d8bbd91fab65b3579b
Publikováno v:
BMC Nephrology, Vol 22, Iss 1, Pp 1-9 (2021)
Abstract Background The mechanism by which hypophosphataemia develops following kidney transplantation remains debated, and limited research is available regarding risk factors. This study aimed to assess the association between recipient and donor v
Externí odkaz:
https://doaj.org/article/4bc01c47b8b0497baf9b331911962578
Autor:
Kevin Hangartner, Anahita Bajka, Maximilian R. J. Wiest, Sophia Sidhu, Mario D. Toro, Peter M. Maloca, Sandrine A. Zweifel
Publikováno v:
Diagnostics, Vol 13, Iss 15, p 2496 (2023)
Vessel tortuosity (VT) is a parameter used to assess retinal involvement in patients affected by systemic diseases such as Fabry disease (FD). In this study, we assessed a retinal VT index (VTI) using optical coherence tomography angiography (OCTA) i
Externí odkaz:
https://doaj.org/article/85deaa6d0cfb43d2a6c8af1f3eb4a21f
Autor:
Kelsey Yetsko, Jessica A. Farrell, Nicholas B. Blackburn, Liam Whitmore, Maximilian R. Stammnitz, Jenny Whilde, Catherine B. Eastman, Devon Rollinson Ramia, Rachel Thomas, Aleksandar Krstic, Paul Linser, Simon Creer, Gary Carvalho, Mariana A. Devlin, Nina Nahvi, Ana Cristina Leandro, Thomas W. deMaar, Brooke Burkhalter, Elizabeth P. Murchison, Christine Schnitzler, David J. Duffy
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-16 (2021)
Yetsko, Farrell, Duffy, and colleagues conduct transcriptomic and immunohistological profiling of tumors from sea turtles with fibropapillomatosis. Internal tumors are distinct from more common external tumors, but share some oncogenic signaling path
Externí odkaz:
https://doaj.org/article/7281ae23d2b641688074f5bf9913bc61
Autor:
Alice C. Lin, Fangyou Xie, Liam J. McCarthy, David R. Rodgers, Kyle G. Hoff, Maximilian R. von Welczeck, Sixin Zhai, Andrea C. Saw, Gregory E. Scott, Shanju Zhang
Publikováno v:
Carbon Trends, Vol 7, Iss , Pp 100150- (2022)
The photonic liquid crystalline (LC) dispersion of graphene oxide (GO) is prepared using centrifugation-induced size-fractionization. Under gravity, a series of successive centrifugations enable large GO sheets to sediment and fractionize into a narr
Externí odkaz:
https://doaj.org/article/a4a71f050d67401bb105a9333c08de48
Publikováno v:
Biotechnology for Biofuels, Vol 12, Iss 1, Pp 1-11 (2019)
Abstract Background Due to its inevitable formation during biodiesel production and its relatively high degree of reduction, glycerol is an attractive carbon source for microbial fermentation processes. However, glycerol is catabolized in a fully res
Externí odkaz:
https://doaj.org/article/f3c05ed4e6ec4495996a0be037965dca
Autor:
Ulrich, Constantin, Knobloch, Catherine, Holzschuh, Julius C., Wald, Tassilo, Rokuss, Maximilian R., Zenk, Maximilian, Fischer, Maximilian, Baumgartner, Michael, Isensee, Fabian, Maier-Hein, Klaus H.
Despite considerable strides in developing deep learning models for 3D medical image segmentation, the challenge of effectively generalizing across diverse image distributions persists. While domain generalization is acknowledged as vital for robust
Externí odkaz:
http://arxiv.org/abs/2404.15718
Autor:
Kirchhoff, Yannick, Rokuss, Maximilian R., Roy, Saikat, Kovacs, Balint, Ulrich, Constantin, Wald, Tassilo, Zenk, Maximilian, Vollmuth, Philipp, Kleesiek, Jens, Isensee, Fabian, Maier-Hein, Klaus
Accurately segmenting thin tubular structures, such as vessels, nerves, roads or concrete cracks, is a crucial task in computer vision. Standard deep learning-based segmentation loss functions, such as Dice or Cross-Entropy, focus on volumetric overl
Externí odkaz:
http://arxiv.org/abs/2404.03010