@article{36073, author = {{Stutz, Bianca and Buyken, Anette E. and Schadow, Alena and Jankovic, N and Alexy, U and Krueger, Betina}}, issn = {{0195-6663}}, journal = {{Appetite}}, pages = {{106333}}, title = {{{Associations of chronotype and social jetlag with eating jetlag and their changes among German students during the first COVID-19 lockdown. The Chronotype and Nutrition study.}}}, doi = {{10.1016/j.appet.2022.106333}}, volume = {{180}}, year = {{2023}}, } @article{36834, abstract = {{AbstractIncreasing average temperatures and heat waves are having devasting impacts on human health and well-being but studies of heat impacts and how people adapt are rare and often confined to specific locations. In this study, we explore how analysis of conversations on social media can be used to understand how people feel about heat waves and how they respond. We collected global Twitter data over four months (from January to April 2022) using predefined hashtags about heat waves. Topic modelling identified five topics. The largest (one-third of all tweets) was related to sports events. The remaining two-thirds could be allocated to four topics connected to communication about climate-related heat or heat waves. Two of these were on the impacts of heat and heat waves (health impacts 20%; social impacts 16%), one was on extreme weather and climate change attribution (17%) and the last one was on perceptions and warning (13%). The number of tweets in each week corresponded well with major heat wave occurrences in Argentina, Australia, the USA and South Asia (India and Pakistan), indicating that people posting tweets were aware of the threat from heat and its impacts on the society. Among the words frequently used within the topic ‘Social impacts’ were ‘air-conditioning’ and ‘electricity’, suggesting links between coping strategies and financial pressure. Apart from analysing the content of tweets, new insights were also obtained from analysing how people engaged with Twitter tweets about heat or heat waves. We found that tweets posted early, and which were then shared by other influential Twitter users, were among the most popular. Finally, we found that the most popular tweets belonged to individual scientists or respected news outlets, with no evidence that misinformation about climate change-related heat is widespread. }}, author = {{Zander, Kerstin K. and Rieskamp, Jonas and Mirbabaie, Milad and Alazab, Mamoun and Nguyen, Duy}}, issn = {{0921-030X}}, journal = {{Natural Hazards}}, keywords = {{Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Water Science and Technology}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Responses to heat waves: what can Twitter data tell us?}}}, doi = {{10.1007/s11069-023-05824-2}}, year = {{2023}}, } @article{36877, abstract = {{The study explores differences between three user types in the top tweets about the 2015 “refugee crisis” in Germany and presents the results of a quantitative content analysis. All tweets with the keyword “Flüchtlinge” posted for a monthlong period following September 13, 2015, the day Germany decided to implement border controls, were collected (N = 763,752). The top 2,495 tweets according to number of retweets were selected for analysis. Differences between news media, public and private actor tweets in topics, tweet characteristics such as tone and opinion expression, links, and specific sentiments toward refugees were analyzed. We found strong differences between the tweets. Public actor tweets were the main source of positive sentiment toward refugees and the main information source on refugee support. News media tweets mostly reflected traditional journalistic norms of impartiality and objectivity, whereas private actor tweets were more diverse in sentiments toward refugees. }}, author = {{Kapidzic, Sanja and Frey, Felix and Neuberger, Christoph and Stieglitz, Stefan and Mirbabaie, Milad}}, issn = {{1932-8036}}, journal = {{International Journal of Communication}}, keywords = {{refugee crisis 2015, Germany, social media, Twitter, user types}}, title = {{{Crisis Communication on Twitter: Differences Between User Types in Top Tweets About the 2015 “Refugee Crisis” in Germany}}}, volume = {{17}}, year = {{2023}}, } @article{36800, abstract = {{Abstract. The miniaturisation of components leads to new demands on measurement systems. One of these is the resolution. As a volumetric analysis method and method of non-destructive testing, industrial X-ray computed tomography (XCT) has the ability to measure geometrical features and their corresponding dimensions without destroying them and can therefore be used for quality assurance. However, the concept of resolution is not trivial for XCT and has not yet been finally clarified. In particular, the interface structural resolution, the detectability of two surfaces facing each other after surface segmentation, faces a lack of a test specimen, a corresponding measurand and a reliable method. Simulation-based XCT investigations of a method to determine this type of resolution are presented in this article using the geometry of a test specimen that contains several radially arranged holes of the same size. The borehole diameters correspond to the distance between the holes to investigate the resolvability of surfaces and interfaces. The evaluation is based on mean and extreme values of grey value profiles between the individual boreholes of the reconstructed volume. It is shown that the geometrical detectability of the test specimen surface and interface can be extended by a reasonable choice of the threshold value for surface segmentation within a defined interval. With regard to the resolving capability, a distinction is made between assured detectability and possible detectability, as well as the threshold value used when using the ISO50 threshold for surface segmentation and measurement chain completion. }}, author = {{Busch, Matthias and Hausotte, Tino}}, issn = {{2194-878X}}, journal = {{Journal of Sensors and Sensor Systems}}, keywords = {{Electrical and Electronic Engineering, Instrumentation}}, number = {{1}}, pages = {{1--8}}, publisher = {{Copernicus GmbH}}, title = {{{Simulation-based investigation of the metrological interface structural resolution capability of X-ray computed tomography scanners}}}, doi = {{10.5194/jsss-12-1-2023}}, volume = {{12}}, year = {{2023}}, } @inproceedings{35893, author = {{zur Heiden, Philipp and Priefer, Jennifer and Beverungen, Daniel}}, booktitle = {{Proceedings of the 56th Conference on System Sciences}}, title = {{{Location-Based Service and Location-Contextualizing Service: Conceptualizing the Co-creation of Value with Location Information}}}, year = {{2023}}, } @inproceedings{36839, author = {{Neumann, Stefan and Meschut, Gerson and Otroshi, Mortaza and Kneuper, Florian and Schulze, Andre and Tekkaya, Erman}}, title = {{{Mechanically Joined Extrusion Profiles for Battery Trays}}}, year = {{2023}}, } @inbook{35681, author = {{Liebendörfer, Michael and Büdenbender-Kuklinski, Christiane and Lankeit, Elisa and Schürmann, Mirko and Biehler, Rolf and Schaper, Niclas}}, booktitle = {{Practice-Oriented Research in Tertiary Mathematics Education}}, isbn = {{9783031141744}}, issn = {{1869-4918}}, pages = {{91--117}}, publisher = {{Springer International Publishing}}, title = {{{Framing Goals of Mathematics Support Measures}}}, doi = {{10.1007/978-3-031-14175-1_5}}, year = {{2023}}, } @inproceedings{37165, author = {{Hofeditz, Lennart and Erle, Lukas and Timm, Lara and Mirbabaie, Milad}}, booktitle = {{Proceedings of the 55th Hawaii International Conference System Sciences (HICSS) (forthcoming)}}, title = {{{How Virtuous are Virtual Influencers?–A Qualitative Analysis of Virtual Actors’ Virtues on Instagram}}}, year = {{2023}}, } @article{33447, author = {{Julin, Sofia and Keller, Adrian and Linko, Veikko}}, issn = {{1043-1802}}, journal = {{Bioconjugate Chemistry}}, keywords = {{Organic Chemistry, Pharmaceutical Science, Pharmacology, Biomedical Engineering, Bioengineering, Biotechnology}}, pages = {{18--29}}, publisher = {{American Chemical Society (ACS)}}, title = {{{Dynamics of DNA Origami Lattices}}}, doi = {{10.1021/acs.bioconjchem.2c00359}}, volume = {{34}}, year = {{2023}}, } @book{37469, editor = {{Biehler, Rolf and Liebendörfer, Michael and Gueudet, Ghislaine and Rasmussen, Chris and Winsløw, Carl}}, isbn = {{9783031141744}}, issn = {{1869-4918}}, publisher = {{Springer International Publishing}}, title = {{{Practice-Oriented Research in Tertiary Mathematics Education}}}, doi = {{10.1007/978-3-031-14175-1}}, year = {{2023}}, }