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 -