Zobrazeno 1 - 10
of 2 207
pro vyhledávání: '"Kienitz A"'
Autor:
Sledz, Florian, Khramtsov, Igor A., Flatae, Assegid M., Lagomarsino, Stefano, Sciortino, Silvio, Nicley, Shannon S., Rouzbahani, Rozita, Pobedinskas, Paulius, Guo, Tianxiao, Jiang, Xin, Kienitz, Paul, Bolivar, Peter Haring, Haenen, Ken, Fedyanin, Dmitry Yu., Agio, Mario
A robust quantum light source operating upon electrical injection at ambient conditions is desirable for practical implementation of quantum technologies, such as quantum key distribution or metrology. Color centers in diamond are promising candidate
Externí odkaz:
http://arxiv.org/abs/2408.01572
Autor:
Tsepo Goerttler, Martin B. Dorner, Christina van der Linden, Ricardo Kienitz, Stephan Petrik, Stephan Blechinger, Jonah Spickschen, Iris R. Betz, Carl Hinrichs, David Steindl, Frederike Weber, Thomas Musacchio, Gilbert Wunderlich, Maria Adele Rueger, Michael T. Barbe, Haidar Dafsari, Seda Demir, Sriramya Lapa, Pia S. Zeiner, Adam Strzelczyk, Peter Tinnemann, Christian Kleine, Andreas Totzeck, Stephan Klebe, Agata Mikolajewska, Brigitte G. Dorner, Elisabeth Fertl, Christian Grefkes-Hermann, Gereon Fink, Christoph Kleinschnitz, Tim Hagenacker
Publikováno v:
Neurological Research and Practice, Vol 6, Iss 1, Pp 1-6 (2024)
Abstract Background Intragastric botulinum neurotoxin injections (IBNI) are offered off-label in the private medical sector in a few European countries as a safe and effective weight-loss measure. In February and March 2023, an outbreak of iatrogenic
Externí odkaz:
https://doaj.org/article/720d923be4264302b2d7d1a8a55ba51d
Autor:
Casadio, Marco, Arnaboldi, Luca, Daggitt, Matthew L., Isac, Omri, Dinkar, Tanvi, Kienitz, Daniel, Rieser, Verena, Komendantskaya, Ekaterina
Verification of machine learning models used in Natural Language Processing (NLP) is known to be a hard problem. In particular, many known neural network verification methods that work for computer vision and other numeric datasets do not work for NL
Externí odkaz:
http://arxiv.org/abs/2305.04003
Autor:
Casadio, Marco, Komendantskaya, Ekaterina, Rieser, Verena, Daggitt, Matthew L., Kienitz, Daniel, Arnaboldi, Luca, Kokke, Wen
With the proliferation of Deep Machine Learning into real-life applications, a particular property of this technology has been brought to attention: robustness Neural Networks notoriously present low robustness and can be highly sensitive to small in
Externí odkaz:
http://arxiv.org/abs/2206.14575
Autor:
Andreas Bablich, Maurice Müller, Rainer Bornemann, Nils Marrenbach, Paul Kienitz, Peter Haring Bolívar
Publikováno v:
Communications Engineering, Vol 2, Iss 1, Pp 1-10 (2023)
Abstract Today’s optical range finders or 3D imagers suffer from significant drawbacks and do not allow to combine performance (sensitivity, precision) with simplicity, and scalability enabling very-large scale integration with minimum footprint. H
Externí odkaz:
https://doaj.org/article/44420b60c7c4431c8db6632f4e89cd91
Autor:
Shujuan Zhao, Kedous Y. Mekbib, Martijn A. van der Ent, Garrett Allington, Andrew Prendergast, Jocelyn E. Chau, Hannah Smith, John Shohfi, Jack Ocken, Daniel Duran, Charuta G. Furey, Le Thi Hao, Phan Q. Duy, Benjamin C. Reeves, Junhui Zhang, Carol Nelson-Williams, Di Chen, Boyang Li, Timothy Nottoli, Suxia Bai, Myron Rolle, Xue Zeng, Weilai Dong, Po-Ying Fu, Yung-Chun Wang, Shrikant Mane, Paulina Piwowarczyk, Katie Pricola Fehnel, Alfred Pokmeng See, Bermans J. Iskandar, Beverly Aagaard-Kienitz, Quentin J. Moyer, Evan Dennis, Emre Kiziltug, Adam J. Kundishora, Tyrone DeSpenza, Ana B. W. Greenberg, Seblewengel M. Kidanemariam, Andrew T. Hale, James M. Johnston, Eric M. Jackson, Phillip B. Storm, Shih-Shan Lang, William E. Butler, Bob S. Carter, Paul Chapman, Christopher J. Stapleton, Aman B. Patel, Georges Rodesch, Stanislas Smajda, Alejandro Berenstein, Tanyeri Barak, E. Zeynep Erson-Omay, Hongyu Zhao, Andres Moreno-De-Luca, Mark R. Proctor, Edward R. Smith, Darren B. Orbach, Seth L. Alper, Stefania Nicoli, Titus J. Boggon, Richard P. Lifton, Murat Gunel, Philip D. King, Sheng Chih Jin, Kristopher T. Kahle
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-23 (2023)
Abstract To elucidate the pathogenesis of vein of Galen malformations (VOGMs), the most common and most severe of congenital brain arteriovenous malformations, we performed an integrated analysis of 310 VOGM proband-family exomes and 336,326 human ce
Externí odkaz:
https://doaj.org/article/3ca7b90963454521ac767ab9c7496a24
Publikováno v:
Brain Sciences, Vol 14, Iss 9, p 882 (2024)
Rapid identification of the type and origin of a stroke is crucial for prompt and appropriate treatment, which can significantly influences patient outcomes. We report a multidisciplinary management case involving a 76-year-old man who presented with
Externí odkaz:
https://doaj.org/article/cc60891a704a417c89178f64a305feeb
Autor:
DOCAO, Christine, Drui, Delphine, Borson Chazot, Francoise, Chabre, Olivier, Vezzosi, Delphine, Castinetti, Frederic, Bertherat, Jérôme, Libé, Rossella, Gimenez-Roqueplo, Anne Paule, Favier, Judith, Quinkler, Marcus, Strasburger, Christian, Zopf, Katrin, Reincke, Martin, Kroiss, Matthias, Remde, Hanna, Haaf, Michaela, Fuß, Carmina T, Dischinger, Ulrich, Eisenhofer, Graeme, Pamporaki, Christina, Van Berkel, Anouk, Baudin, Eric *, Goichot, Bernard, Berruti, Alfredo, Hadoux, Julien, Moalla, Salma, Laboureau, Sandrine, Nölting, Svenja, de la Fouchardière, Christelle, Kienitz, Tina, Deutschbein, Timo, Zovato, Stefania, Amar, Laurence, Haissaguerre, Magalie, Timmers, Henri, Niccoli, Patricia, Faggiano, Antongiulio, Angokai, Moussa, Lamartina, Livia, Luca, Florina, Cosentini, Deborah, Hahner, Stefanie, Beuschlein, Felix, Attard, Marie, Texier, Matthieu, Fassnacht, Martin
Publikováno v:
In The Lancet 16-22 March 2024 403(10431):1061-1070
Recursive marginal quantization (RMQ) allows the construction of optimal discrete grids for approximating solutions to stochastic differential equations in d-dimensions. Product Markovian quantization (PMQ) reduces this problem to d one-dimensional q
Externí odkaz:
http://arxiv.org/abs/2006.15823
Autor:
Annika Melissa Süß, Marion Hug, Nadine Conradi, Ricardo Kienitz, Felix Rosenow, Stefan Rampp, Nina Merkel
Publikováno v:
Brain and Behavior, Vol 13, Iss 11, Pp n/a-n/a (2023)
Abstract Introduction Delta power is a clinically established biomarker for abnormal brain processes. However, in patients with unilateral focal epilepsy (FE) it is still not well understood, how it relates to the epileptogenic zone and to neurocogni
Externí odkaz:
https://doaj.org/article/755f09541e024905b3bf112a807ec70f