TY - JOUR AU - Köring, Laura AU - Stepen, Arne AU - Birenheide, Bernhard AU - Barth, Simon AU - Leskov, Maxim AU - Schoch, Roland AU - Krämer, Felix AU - Breher, Frank AU - Paradies, Jan ID - 35694 JF - Angewandte Chemie International Edition KW - General Chemistry KW - Catalysis SN - 1433-7851 TI - Boron‐Centered Lewis Superacid through Redox‐Active Ligands: Application in C–F and S–F Bond Activation ER - TY - JOUR AB - In recent years, frustrated Lewis pairs have been widely used in small molecules activation and catalytic transformations. This graphic review is aimed to provide the fundamental understanding of frustrated Lewis pair reactivity and the exploitation thereof in catalytic reactions. AU - Zhou, Rundong AU - Tavandashti, Zoleykha AU - Paradies, Jan ID - 35693 JF - SynOpen KW - Organic Chemistry KW - Materials Science (miscellaneous) KW - Biomaterials KW - Catalysis SN - 2509-9396 TI - Frustrated Lewis Pair Catalysed Reactions ER - TY - JOUR AB - Young adults with a later chronotype are vulnerable for a discrepancy in sleep rhythm between work- and free days, called social jet lag (SJL). This study analysed (i) chronotype/SJL association with visceral fat/skeletal muscle mass, (ii) the attribution to physical activity behaviour, and (iii) chronotype-specific changes in physical activity behaviour in young adults during the Covid-19 pandemic lockdown. Chronotype and SJL were derived from the Munich-Chrono-Type-Questionnaire in 320 German students (age 18–25 years) from September 2019 to January 2020, 156 of these participated in an online follow-up survey in June 2020. Body composition was assessed by bioimpedance analysis at baseline. Multivariable linear regression analyses were used to relate chronotype/SJL to body composition; the contribution of self-reported physical activity was tested by mediation analysis. At baseline, a later chronotype and a larger SJL were associated with a higher visceral fat mass (P<0.05), this relation was notably mediated by the attention to physical activity (P<0.05). Chronotype (P = 0.02) but not SJL (P = 0.87) was inversely associated with skeletal muscle mass. During the pandemic lockdown, chronotype hardly changed, but SJL was reduced. Timing and physical activity behaviour remained in most participants and changes were unrelated to chronotype (all P>0.07). A later chronotype/higher SJL may increase the risk of a higher visceral fat mass even in this relatively healthy sample, which may be partly due to their physical activity behaviour. Despite a reduction in SJL during the pandemic lockdown, later chronotypes did not change their physical activity behaviour more than earlier chronotypes. AU - Krueger, Betina AU - Stutz, Bianca AU - Jankovic, Nicole AU - Alexy, Ute AU - Kilanowski, Anna AU - Libuda, Lars AU - Buyken, Anette E. ID - 36505 IS - 1 JF - PLOS ONE KW - Multidisciplinary SN - 1932-6203 TI - The association of chronotype and social jet lag with body composition in German students: The role of physical activity behaviour and the impact of the pandemic lockdown VL - 18 ER - TY - CHAP AU - Öhlschläger, Claudia ED - Öhlschläger, Claudia ED - Schiffermüller, Isolde ED - Perrone Capano, Lucia ED - Larcati, Arturo ID - 37719 T2 - Narrative des Humanismus in der Weimarer Republik und im Exil. Zur Aktualität einer kulturpolitischen Herausforderung für Europa. TI - Politisch-humanistische Positionen in Reisenarrativen über Frankreich der 1920er und 1930er Jahre:„La lumière“ – Joseph Roths poetischer und medienreflexiver Humanismus ER - TY - CHAP AU - Schröer, Franz AU - Tenberge, Claudia ED - Gill, David ED - Irving-Bell, Dawne ED - McLain, Matt ED - Wooff, David ID - 37641 KW - Curriculum KW - Inclusion KW - Sachunterricht KW - Participation SN - 9781350238411 T2 - Bloomsbury Handbook of Technology Education TI - Including: Thinking Towards an Inclusive Curriculum for Technology Education in German Primary Schools ER - TY - JOUR AU - Brennecken, Dominik AU - Rösler, Margit ID - 36294 JF - Transaction of the American Mathematical Society TI - The Dunkl-Laplace transform and Macdonald’s hypergeometric series ER - TY - JOUR AU - Janicki, Nicole AU - Tenberge, Claudia ID - 39976 JF - Australasian Journal of Technology Education KW - technology education KW - teacher professionalisation KW - Computational Thinking KW - digitalization KW - learning robots TI - Technology education in elementary school using the example of 'learning robots' – development and evaluation of an in-service teacher training concept ER - TY - CONF AB - Jupyter notebooks enable developers to interleave code snippets with rich-text and in-line visualizations. Data scientists use Jupyter notebook as the de-facto standard for creating and sharing machine-learning based solutions, primarily written in Python. Recent studies have demonstrated, however, that a large portion of Jupyter notebooks available on public platforms are undocumented and lacks a narrative structure. This reduces the readability of these notebooks. To address this shortcoming, this paper presents HeaderGen, a novel tool-based approach that automatically annotates code cells with categorical markdown headers based on a taxonomy of machine-learning operations, and classifies and displays function calls according to this taxonomy. For this functionality to be realized, HeaderGen enhances an existing call graph analysis in PyCG. To improve precision, HeaderGen extends PyCG's analysis with support for handling external library code and flow-sensitivity. The former is realized by facilitating the resolution of function return-types. Furthermore, HeaderGen uses type information to perform pattern matching on code syntax to annotate code cells. The evaluation on 15 real-world Jupyter notebooks from Kaggle shows that HeaderGen's underlying call graph analysis yields high accuracy (96.4% precision and 95.9% recall). This is because HeaderGen can resolve return-types of external libraries where existing type inference tools such as pytype (by Google), pyright (by Microsoft), and Jedi fall short. The header generation has a precision of 82.2% and a recall rate of 96.8% with regard to headers created manually by experts. In a user study, HeaderGen helps participants finish comprehension and navigation tasks faster. All participants clearly perceive HeaderGen as useful to their task. AU - Shivarpatna Venkatesh, Ashwin Prasad AU - Wang, Jiawei AU - Li, Li AU - Bodden, Eric ID - 36522 KW - static analysis KW - python KW - code comprehension KW - annotation KW - literate programming KW - jupyter notebook TI - Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis ER - TY - CHAP AU - Schroeter-Wittke, Harald ED - Schmid, Konrad ID - 41117 SN - 978-3-374-07227-9 T2 - Heilige Schriften in der Kritik. XVII. Europäischer Kongress für Theologie (5.-8. September 2021 in Zürich). VWGTh 68 TI - Die Schrift entHeiligen. Praktisch-theologische Überlegungen zum Bibelgebrauch als Transformation des Heiligen ER - TY - JOUR AU - Schroeter-Wittke, Harald ID - 41116 IS - 2 JF - Göttinger Predigtmeditationen SN - 0340-6083 TI - Ostermontag (10.04.2023) Lk 24,13-35: Ostern to go! Oder: Wie Religionspädagogik geht VL - 77 ER -