Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Michael Hanselmann"'
Autor:
Renée Stark, Anna Renz, Michael Hanselmann, Christina Haas, Anne Neumann, Oliver Martini, Florian Seyfried, Michael Laxy, Christine Stier, Bettina Zippel-Schultz, Martin Fassnacht, Ann-Cathrin Koschker
Publikováno v:
Obesity Facts (2024)
Introduction: Almost 25% of German adults have obesity and numbers are rising, making it an important health issue. Bariatric-metabolic surgery reduces body weight and complications for persons with obesity, but therapeutic success requires long-term
Externí odkaz:
https://doaj.org/article/3c274c0b639c4fb9828dac3c082d90f7
Autor:
Sara Pedron, Michael Hanselmann, Jacob Burns, Alexander Rich, Annette Peters, Margit Heier, Lars Schwettmann, Jacob H Bor, Till Bärnighausen, Michael Laxy
Publikováno v:
PLoS Medicine, Vol 19, Iss 12, p e1004151 (2022)
BackgroundHypertension represents one of the major risk factors for cardiovascular morbidity and mortality globally. Early detection and treatment of this condition is vital to prevent complications. However, hypertension often goes undetected, and e
Externí odkaz:
https://doaj.org/article/c9ab736b112b458ba8297ca40d1f6593
Autor:
Silvia Würstle, Johanna Erber, Michael Hanselmann, Dieter Hoffmann, Stanislas Werfel, Svenja Hering, Simon Weidlich, Jochen Schneider, Ralf Franke, Michael Maier, Andreas G Henkel, Roland M Schmid, Ulrike Protzer, Michael Laxy, Christoph D Spinner
Publikováno v:
JMIR Formative Research, Vol 6, Iss 1, p e32564 (2022)
BackgroundLarge-scale, polymerase chain reaction (PCR)-based SARS-CoV-2 testing is expensive, resource intensive, and time consuming. A self-collection approach is a probable alternative; however, its feasibility, cost, and ability to prevent infecti
Externí odkaz:
https://doaj.org/article/20dfead8482249a5bec6406459468a9a
Publikováno v:
PLoS ONE, Vol 7, Iss 4 (2012)
Externí odkaz:
https://doaj.org/article/e5ce6330fafa449d92119d698c674c46
Publikováno v:
PLoS ONE, Vol 7, Iss 4, p e34740 (2012)
Members of social network platforms often choose to reveal private information, and thus sacrifice some of their privacy, in exchange for the manifold opportunities and amenities offered by such platforms. In this article, we show that the seemingly
Externí odkaz:
https://doaj.org/article/e4d50d328fa6449cb411a68cdd091165
Autor:
Silvia Würstle, Johanna Erber, Michael Hanselmann, Dieter Hoffmann, Stanislas Werfel, Svenja Hering, Simon Weidlich, Jochen Schneider, Ralf Franke, Michael Maier, Andreas G Henkel, Roland M Schmid, Ulrike Protzer, Michael Laxy, Christoph D Spinner
BACKGROUND Large-scale, polymerase chain reaction (PCR)-based SARS-CoV-2 testing is expensive, resource intensive, and time consuming. A self-collection approach is a probable alternative; however, its feasibility, cost, and ability to prevent infect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17775282a185a2894dd04ad0c9ec9c8e
https://doi.org/10.2196/preprints.32564
https://doi.org/10.2196/preprints.32564
Autor:
Svenja Hering, Andreas Henkel, Michael Maier, Jochen Schneider, Michael Laxy, Christoph D. Spinner, Dieter Hoffmann, Stanislas Werfel, Michael Hanselmann, Roland M. Schmid, Simon Weidlich, Johanna Erber, Silvia Würstle, Ulrike Protzer, Ralf Franke
Publikováno v:
JMIR Form. Res. 6:e32564 (2022)
JMIR Formative Research
JMIR Formative Research
Background Large-scale, polymerase chain reaction (PCR)-based SARS-CoV-2 testing is expensive, resource intensive, and time consuming. A self-collection approach is a probable alternative; however, its feasibility, cost, and ability to prevent infect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca3954e65f9f1ad93cbcbd148453d894
https://doi.org/10.2196/32564
https://doi.org/10.2196/32564
Autor:
Philip Schmidt, Robert Dürichen, Sebastian Münzner, Attila Reiss, Rainer Stiefelhagen, Michael Hanselmann
Publikováno v:
ISWC
Deep learning (DL) methods receive increasing attention within the field of human activity recognition (HAR) due to their success in other machine learning domains. Nonetheless, a direct transfer of these methods is often not possible due to domain s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70bcd3a093feeac1b1776e29216d24d1
https://doi.org/10.1145/3123021.3123046
https://doi.org/10.1145/3123021.3123046
Autor:
Bernhard Y. Renard, Ron M. A. Heeren, Kristine Glunde, Erika R. Amstalden, Marc Kirchner, Fred A. Hamprecht, Michael Hanselmann
Publikováno v:
Analytical Chemistry. 80:9649-9658
Imaging mass spectrometry (IMS) is a promising technology which allows for detailed analysis of spatial distributions of (bio)molecules in organic samples. In many current applications, IMS relies heavily on (semi)automated exploratory data analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9cf6ecb8ef6bed2befc0587256187ef
https://doi.org/10.1021/ac801303x
https://doi.org/10.1021/ac801303x
Publikováno v:
Proceedings of the European Conference on Complex Systems 2012 ISBN: 9783319003948
Could online social networks like Facebook be used to infer relationships between non-members? We show that the combination of relationships between members and their e-mail contacts to non-members provides enough information to deduce a substantial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e3d195ec0c8a7c467c31dc599b1d445
https://doi.org/10.1007/978-3-319-00395-5_41
https://doi.org/10.1007/978-3-319-00395-5_41