Ice thickness monitoring for cryo-EM grids by interferometry imaging

Autor: Markus Matthias Hohle, Katja Lammens, Fabian Gut, Bingzhi Wang, Sophia Kahler, Kathrin Kugler, Michael Till, Roland Beckmann, Karl-Peter Hopfner, Christophe Jung

Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)

Abstract While recent technological developments contributed to breakthrough advances in single particle cryo-electron microscopy (cryo-EM), sample preparation remains a significant bottleneck for the structure determination of macromolecular complex

Externí odkaz: https://doaj.org/article/63856b0cc1234d46a17152757c8a1f1f

The Neutron Star Born in the Antlia Supernova Remnant

Autor: Tetzlaff, Nina, Torres, Guillermo, Neuhaeuser, Ralph, Hohle, Markus Matthias

Among all known young nearby neutron stars, we search for the neutron star that was born in the same supernova event that formed the Antlia supernova remnant (SNR). We also look for a runaway star that could have been the former companion to the neut

Externí odkaz: http://arxiv.org/abs/1307.5616

The origin of RXJ1856.5-3754 and RXJ0720.4-3125 -- updated using new parallax measurements

Autor: Tetzlaff, Nina, Eisenbeiss, Thomas, Neuhaeuser, Ralph, Hohle, Markus Matthias

RXJ1856 and RXJ0720 are the only young isolated radio-quiet neutron stars (NSs) for which trigonometric parallaxes were measured. Due to detection of their thermal emission in X-rays they are important to study NS cooling and to probe theoretical coo

Externí odkaz: http://arxiv.org/abs/1107.1673

Determinants of the Implementation of Telemedicine in the German Navy-A Mixed Methods Study.

Autor: Hötker, Ensign Daniel Valentin^1,2, Ring, Markus Matthias³, Steinhäuser, Jost¹

Publikováno v: Military Medicine. May/Jun2022, Vol. 187 Issue 5/6, pe726-e734. 9p.

Deep learning enhanced robotic fabrication of timber-to-timber connections with densified hardwood nails

Autor: Hudert, Markus Matthias, Elvebakken, Morten From, Meagher, Mark, Mangliar, Laszlo, Zhang, Xuping, Esterle, Lukas

Publikováno v: Hudert, M M, Elvebakken, M F, Meagher, M, Mangliar, L, Zhang, X & Esterle, L 2022, Deep learning enhanced robotic fabrication of timber-to-timber connections with densified hardwood nails . in Proceedings of the IASS 2022 Symposium affiliated with APCS 2022 conference : Innovation-Sustainability-Legacy . pp. 1740-1748, IASS 2022 Symposium affiliated with APCS 2022 conference, Beijing, China, 19/09/2022 .

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pure_au_____::3777e35cee2e04400aecfc1bd43d5410
https://pure.au.dk/portal/da/publications/deep-learning-enhanced-robotic-fabrication-of-timbertotimber-connections-with-densified-hardwood-nails(785452cb-883a-4aff-92d0-44e21242284f).html