Zobrazeno 1 - 10
of 240
pro vyhledávání: '"Christian Reuter"'
Publikováno v:
IEEE Access, Vol 12, Pp 118903-118922 (2024)
In today’s world, cyber-attacks are becoming more frequent and thus proactive protection against them is becoming more important. Cyber Threat Intelligence (CTI) is a possible solution, as it collects threat information in various information sourc
Externí odkaz:
https://doaj.org/article/4c14404e4371406b9cd7ce7b4b58463c
Autor:
Christian Reuter, Laura Hauf, Fabian Imdahl, Rituparno Sen, Ehsan Vafadarnejad, Philipp Fey, Tamara Finger, Nicola G. Jones, Heike Walles, Lars Barquist, Antoine-Emmanuel Saliba, Florian Groeber-Becker, Markus Engstler
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023)
Abstract Transmission of Trypanosoma brucei by tsetse flies involves the deposition of the cell cycle-arrested metacyclic life cycle stage into mammalian skin at the site of the fly’s bite. We introduce an advanced human skin equivalent and use tse
Externí odkaz:
https://doaj.org/article/6c0d8c6e0e8744b0a3deb41fdc349070
Publikováno v:
Weizenbaum Journal of the Digital Society, Vol 3, Iss 3 (2023)
Like past crises, the COVID-19 pandemic has galvanized individual volunteers to contribute to the public response. This includes digital volunteers who have organized physical aid and conducted social media activities. Analyzing German volunteering s
Externí odkaz:
https://doaj.org/article/c6e6ef7023de456cac6fe379c892e03a
Autor:
Sarah Schuster, Jaime Lisack, Ines Subota, Henriette Zimmermann, Christian Reuter, Tobias Mueller, Brooke Morriswood, Markus Engstler
Publikováno v:
eLife, Vol 10 (2021)
African trypanosomes cause sleeping sickness in humans and nagana in cattle. These unicellular parasites are transmitted by the bloodsucking tsetse fly. In the mammalian host’s circulation, proliferating slender stage cells differentiate into cell
Externí odkaz:
https://doaj.org/article/bc6968036eea4a07bb75d05be772ff3d
Autor:
Saqib Saeed, Volkmar Pipek, Markus Rohde, Christian Reuter, Aparecido Fabiano Pinatti de Carvalho, Volker Wulf
Publikováno v:
IEEE Access, Vol 7, Pp 63564-63577 (2019)
In this paper, we explore a specialized type of knowledge, namely, nomadic knowledge, to understand its implications in knowledge sharing. Nomadic knowledge is enacted in a discontinuous pattern with a changing set of actors and further flows on a de
Externí odkaz:
https://doaj.org/article/8b16f79ac76640bf84f2d53956952b86
Autor:
Christian Reuter, Tobias Oelschlaeger
Publikováno v:
Bio-Protocol, Vol 8, Iss 12 (2018)
The mucosal surfaces of the gastrointestinal, respiratory, reproductive, and urinary tracts, and the surface of the eye harbor a resident microflora that lives in symbiosis with their host and forms a complex ecosystem. The protection of the vulnerab
Externí odkaz:
https://doaj.org/article/8f2c4c5da05c44f9850d16f8ad1ec511
Autor:
Jochen Bodem, Stefanie Bock, Anita Schuch, Rebecca Moschall, Eva-Maria Schrom, Juliane Zahn, Christian Reuter, Graeme B. Jacobs, Thomas Kerkau, Axel Rethwilm, Susan Engelbrecht, Wolfgang Preiser
Publikováno v:
Viruses, Vol 4, Iss 9, Pp 1830-1843 (2012)
The Human Immunodeficiency Virus type 1 (HIV-1) subtype C is currently the predominant subtype worldwide. Cell culture studies of Sub-Saharan African subtype C proviral plasmids are hampered by the low replication capacity of the resulting viruses, a
Externí odkaz:
https://doaj.org/article/41f482b1a67a41c7bc3508d2006556b3
Publikováno v:
Behaviour & Information Technology. :1-23
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c542177b6bf7c2b7254357f3e4496fb9
https://doi.org/10.1080/0144929x.2023.2185747
https://doi.org/10.1080/0144929x.2023.2185747
Publikováno v:
Zeitschrift für Außen- und Sicherheitspolitik. 16:53-77
The article examines which technical aspects of autonomous driving are potentially transferable to the military sector. Through expert interviews the strong fragmentation of technologies in the field of autonomous driving becomes apparent. This hinde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47e58a2a369f3bae76bfed285559bfc3
https://doi.org/10.1007/s12399-022-00935-3
https://doi.org/10.1007/s12399-022-00935-3
Publikováno v:
ACM Computing Surveys. 55:1-39
Data augmentation, the artificial creation of training data for machine learning by transformations, is a widely studied research field across machine learning disciplines. While it is useful for increasing a model's generalization capabilities, it c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24cce54005ac08ce5cdcd5f5e0679954
https://doi.org/10.1145/3544558
https://doi.org/10.1145/3544558