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18 results on '"Müller, Martin"'

3. Impact of artificial intelligence assistance on pulmonary nodule detection and localization in chest CT: a comparative study among radiologists of varying experience levels

Author

Peters, Alan Arthur, Wiescholek, Nina, Müller, Martin, Klaus, Jeremias, Strodka, Felix, Macek, Ana, Primetis, Elias, Drakopulos, Dionysios, Huber, Adrian Thomas, Obmann, Verena Carola, Ruder, Thomas Daniel, Roos, Justus Erasmus, Heverhagen, Johannes Thomas, Christe, Andreas, and Ebner, Lukas

Published
2024
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12. Stress-induced long-range ordering in spider silk

Author

Wagner, Johannes A., primary, Patil, Sandeep P., additional, Greving, Imke, additional, Lämmel, Marc, additional, Gkagkas, Konstantinos, additional, Seydel, Tilo, additional, Müller, Martin, additional, Markert, Bernd, additional, and Gräter, Frauke, additional

Published
2017
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13. Hsp70 facilitates trans-membrane transport of bacterial ADP-ribosylating toxins into the cytosol of mammalian cells

Author

Ernst, Katharina, primary, Schmid, Johannes, additional, Beck, Matthias, additional, Hägele, Marlen, additional, Hohwieler, Meike, additional, Hauff, Patricia, additional, Ückert, Anna Katharina, additional, Anastasia, Anna, additional, Fauler, Michael, additional, Jank, Thomas, additional, Aktories, Klaus, additional, Popoff, Michel R., additional, Schiene-Fischer, Cordelia, additional, Kleger, Alexander, additional, Müller, Martin, additional, Frick, Manfred, additional, and Barth, Holger, additional

Published
2017
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14. In-situ Observation of Cross-Sectional Microstructural Changes and Stress Distributions in Fracturing TiN Thin Film during Nanoindentation

Author

Zeilinger, Angelika, primary, Todt, Juraj, additional, Krywka, Christina, additional, Müller, Martin, additional, Ecker, Werner, additional, Sartory, Bernhard, additional, Meindlhumer, Michael, additional, Stefenelli, Mario, additional, Daniel, Rostislav, additional, Mitterer, Christian, additional, and Keckes, Jozef, additional

Published
2016
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15. Experimental quantification of useful and parasitic absorption of light in plasmon-enhanced thin silicon films for solar cells application

Author

Morawiec, Seweryn, primary, Holovský, Jakub, additional, Mendes, Manuel J., additional, Müller, Martin, additional, Ganzerová, Kristina, additional, Vetushka, Aliaksei, additional, Ledinský, Martin, additional, Priolo, Francesco, additional, Fejfar, Antonin, additional, and Crupi, Isodiana, additional

Published
2016
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16. A time frame permissive for Protein Kinase D2 activity to direct angiogenesis in mouse embryonic stem cells

Author

Müller, Martin, primary, Schröer, Jana, additional, Azoitei, Ninel, additional, Eiseler, Tim, additional, Bergmann, Wendy, additional, Köhntop, Ralf, additional, Lin, Qiong, additional, Costa, Ivan G, additional, Zenke, Martin, additional, Genze, Felicitas, additional, Weidgang, Clair, additional, Seufferlein, Thomas, additional, Liebau, Stefan, additional, and Kleger, Alexander, additional

Published
2015
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18. Clusters of science and health related Twitter users become more isolated during the COVID-19 pandemic

Author

Marcel Salathé, Daniel Remondini, Francesco Durazzi, Martin Müller, Durazzi, Francesco, Müller, Martin, Salathé, Marcel, and Remondini, Daniel

Subjects
FOS: Computer and information sciences, scientific expert, J.4, Epidemiology, media_common.quotation_subject, Science, Twitter, Information Dissemination, Complex networks, Article, Social Networking, 03 medical and health sciences, Politics, 0302 clinical medicine, infodemic, complex network, Political science, Pandemic, Humans, Social media, Conversation, 030212 general & internal medicine, Social network analysis, network analysis, Pandemics, 030304 developmental biology, media_common, Social and Information Networks (cs.SI), 0303 health sciences, Multidisciplinary, business.industry, SARS-CoV-2, Polarization (politics), International health, COVID-19, Computer Science - Social and Information Networks, Public relations, Social Isolation, Medicine, business, Social Media, Social Network Analysis
Abstract

COVID-19 represents the most severe global crisis to date whose public conversation can be studied in real time. To do so, we use a data set of over 350 million tweets and retweets posted by over 26 million English speaking Twitter users from January 13 to June 7, 2020. We characterize the retweet network to identify spontaneous clustering of users and the evolution of their interaction over time in relation to the pandemic's emergence. We identify several stable clusters (super-communities), and are able to link them to international groups mainly involved in science and health topics, national elites, and political actors. The science- and health-related super-community received disproportionate attention early on during the pandemic, and was leading the discussion at the time. However, as the pandemic unfolded, the attention shifted towards both national elites and political actors, paralleled by the introduction of country-specific containment measures and the growing politicization of the debate. Scientific super-community remained present in the discussion, but experienced less reach and became more isolated within the network. Overall, the emerging network communities are characterized by an increased self-amplification and polarization. This makes it generally harder for information from international health organizations or scientific authorities to directly reach a broad audience through Twitter for prolonged time. These results may have implications for information dissemination along the unfolding of long-term events like epidemic diseases on a world-wide scale., Comment: 13 pages, LaTeX. Major changes after peer-review rebuttal

Published
2021

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