@inbook{45321,
  author       = {{Schemmer, Susanne Jutta}},
  booktitle    = {{Berufsbildungspolitik. Normalität, Krisen, Perspektiven der Erstausbildung}},
  editor       = {{Eckelt, Marcus and Ketschau, Thilo Joachim and Klassen, Johannes and Schauer, Jennifer and Schmees, Johannes and Steib, Christian}},
  publisher    = {{wbv}},
  title        = {{{Transformation der beruflichen Benachteiligtenförderung durch die Coronakrise – erste Ergebnisse einer qualitativen Studie}}},
  year         = {{2022}},
}

@inbook{45320,
  author       = {{Schemmer, Susanne Jutta and Heisler, Dietmar}},
  booktitle    = {{Psychische Belastungen in der Berufsbiografie: Interdisziplinäre Perspektiven}},
  editor       = {{Stein, Roland and Kranert, Hans-Walter}},
  publisher    = {{wbv}},
  title        = {{{Benachteiligtenförderung – ein Überblick}}},
  year         = {{2022}},
}

@phdthesis{45322,
  author       = {{Zdoupas, Philippos}},
  publisher    = {{Springer VS}},
  title        = {{{Selbstkonzept und Klassenlehrkraftverhalten. Befunde vergleichender Analysen zu Schülerinnen und Schülern mit Förderbedarf in der emotionalen und sozialen Entwicklung}}},
  doi          = {{10.1007/978-3-658-38576-7}},
  year         = {{2022}},
}

@inproceedings{45653,
  author       = {{Vernholz, Mats}},
  location     = {{Stuttgart}},
  title        = {{{Industrie 4.0 in der beruflichen Bildung – Automatisierter Maschinenbaulernbetrieb Paderborn }}},
  doi          = {{https://doi.org/10.48513/joted.v11i2.267 }},
  year         = {{2022}},
}

@misc{45715,
  author       = {{Tcheussi Ngayap, Vanessa Ingrid}},
  title        = {{{FreeRTOS on a MicroBlaze Soft-Core Processor with Hardware Accelerators}}},
  year         = {{2022}},
}

@article{35918,
  author       = {{Berger, Thomas and Dennstädt, Dario and Ilchmann, Achim and Worthmann, Karl}},
  journal      = {{SIAM Journal on Control and Optimization}},
  number       = {{6}},
  pages        = {{3358--3383}},
  title        = {{{Funnel MPC for nonlinear systems with relative degree one}}},
  volume       = {{60}},
  year         = {{2022}},
}

@article{36035,
  author       = {{Berger, Thomas and Ilchmann, A.  and Trenn, S. }},
  journal      = {{IMA Journal of Mathematical Control and Information}},
  number       = {{2}},
  pages        = {{533--563}},
  title        = {{{Quasi feedback forms for differential-algebraic systems}}},
  volume       = {{39}},
  year         = {{2022}},
}

@inbook{44463,
  author       = {{Eckel, Julia and Ehrlich, Nea}},
  booktitle    = {{In: animationstudies 2.0}},
  publisher    = {{In: animationstudies 2.0,  [OPEN ACCESS] }},
  title        = {{{Minds in Motion – Some Basic Thoughts on AI and Animation}}},
  year         = {{2022}},
}

@book{44458,
  editor       = {{Eckel, Julia and Ehrlich, Nea}},
  publisher    = {{Open-Access-Blog of the Society for Animation Studies}},
  title        = {{{animationstudiesblog 2.0 | Theme: AI and Animation}}},
  year         = {{2022}},
}

@inbook{44464,
  author       = {{Eckel, Julia}},
  booktitle    = {{animationstudies 2.0}},
  title        = {{{Intelligence In Between – Documenting AI in Animation}}},
  year         = {{2022}},
}

@inbook{33738,
  author       = {{Zahera, Hamada Mohamed Abdelsamee and Heindorf, Stefan and Balke, Stefan and Haupt, Jonas and Voigt, Martin and Walter, Carolin and Witter, Fabian and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web: ESWC 2022 Satellite Events}},
  isbn         = {{9783031116087}},
  issn         = {{0302-9743}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings}}},
  doi          = {{10.1007/978-3-031-11609-4_9}},
  year         = {{2022}},
}

@inbook{38506,
  author       = {{Zahera, H.M.A and Vollmers, Daniel and Sherif, Mohamed Ahmed and Ngomo, Axel-Cyrille Ngonga}},
  booktitle    = {{The Semantic Web – ISWC 2022}},
  isbn         = {{9783031194320}},
  issn         = {{0302-9743}},
  publisher    = {{Springer International Publishing}},
  title        = {{{MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs}}},
  doi          = {{10.1007/978-3-031-19433-7_18}},
  year         = {{2022}},
}

@inproceedings{30373,
  author       = {{Chakraborty, Jaydeep and Zahera, H.M.A and Sherif, Mohamed Ahmed and Bansal, Srividya K.}},
  booktitle    = {{2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)}},
  publisher    = {{IEEE}},
  title        = {{{ONTOCONNECT: Domain-Agnostic Ontology Alignment using Graph Embedding with Negative Sampling}}},
  doi          = {{10.1109/icmla52953.2021.00155}},
  year         = {{2022}},
}

@inproceedings{31257,
  abstract     = {{Concept learning approaches based on refinement operators explore partially ordered solution spaces to compute concepts, which are used as binary classification models for individuals. However, the number of concepts explored by these approaches can grow to the millions for complex learning problems. This often leads to impractical runtimes. We propose to alleviate this problem by predicting the length of target concepts before the exploration of the solution space. By these means, we can prune the search space during concept learning. To achieve this goal, we compare four neural architectures and evaluate them on four benchmarks. Our evaluation results suggest that recurrent neural network architectures perform best at concept length prediction with a macro F-measure ranging from 38% to 92%. We then extend the CELOE algorithm, which learns ALC concepts, with our concept length predictor. Our extension yields the algorithm CLIP. In our experiments, CLIP is at least 7.5 times faster than other state-of-the-art concept learning algorithms for ALC---including CELOE---and achieves significant improvements in the F-measure of the concepts learned on 3 out of 4 datasets. For reproducibility, we provide our implementation in the public GitHub repository at https://github.com/dice-group/LearnALCLengths}},
  author       = {{Kouagou, N’Dah Jean and Heindorf, Stefan and Demir, Caglar and Ngomo, Ngonga Axel-Cyrille}},
  booktitle    = {{ESWC}},
  keywords     = {{dice knowgraphs raki daikiri kouagou heindorf demir ngonga}},
  location     = {{Hersonissos, Crete, Greece}},
  pages        = {{236 -- 252}},
  publisher    = {{Springer}},
  title        = {{{Learning Concept Lengths Accelerates Concept Learning in ALC}}},
  volume       = {{13261}},
  year         = {{2022}},
}

@book{45800,
  abstract     = {{In der Corona-Pandemie werden viele Themen zum Gegenstand öffentlicher Debatten, welche die Erziehungswissenschaft im Allgemeinen und die erziehungswissenschaftliche Frauen- und Geschlechterforschung im Besonderen seit Langem beschäftigen: Reproduktion sozialer Ungleichheit in Bildungskontexten, ungleiche Verteilung privater Sorge-, Erziehungs- und Betreuungsarbeit, Marginalisierung nicht-heteronormativer Lebensformen u.v.m. Das Ringen um eine Rückkehr zur „Normalität“ ist allgegenwärtig. Der Band zeigt aus geschlechtertheoretischer und erziehungswissenschaftlicher Sicht, dass diese Normalität zu den Bedingungen der Krise selbst gehört und eine Rückkehr zu einer solchen Normalität bestehende Herrschaftsverhältnisse fortsetzt.

Obwohl die Öffnungen und Schließungen von Schulen und Kindertagesstätten oder die Belastung von Müttern durch „Homeoffice“ und „Homeschooling“ prominente Themen der politischen Streitigkeiten um die Pandemiebekämpfung und ihre Folgen sind und große mediale Aufmerksamkeit bekommen, sind erziehungswissenschaftliche Perspektiven und insbesondere Positionen der erziehungswissenschaftlichen Frauen- und Geschlechterforschung im Diskurs wenig präsent. Dies möchten die Herausgebenden des Bandes ändern. Ausgehend von Schlagworten wie „Systemrelevanz“ oder „Normalität“ und der Frage nach Retraditionalisierung und Professionalisierung vergeschlechtlichter Bildungs- und Erziehungsarbeit in der Pandemie, werden die genannten Problemstellungen offengelegt und weiterführende Fragestellungen und Perspektiven entwickelt. Vor diesem Hintergrund werden wissenschaftliche und politische Konjunkturen kritisch untersucht und mögliche Gegenentwürfe ausgelotet.}},
  editor       = {{Mahs, Claudia}},
  isbn         = {{978-3-8474-2645-5}},
  pages        = {{153}},
  publisher    = {{Barbara Budrich}},
  title        = {{{Pädagogik und Geschlechterverhältnisse in der Pandemie. Analyse und Kritik fragwürdiger Normalitäten}}},
  volume       = {{9}},
  year         = {{2022}},
}

@article{45809,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>To summarize current knowledge and gaps regarding the role of postprandial glycaemic response in the paediatric population, a workshop was organized in June 2021 by the European branch of the International Life Science Institute (ILSI). This virtual event comprised of talks given by experts followed by in-depth discussions in breakout sessions with workshop participants. The main pre-specified topics addressed by the workshop organizing committee to the invited speakers and the workshop participants were: (1) the role of glycaemic responses for paediatric health, based on mechanistic insights from animal and human data, and long-term evidence from observational and intervention studies in paediatric populations, and (2) changes in metabolism and changes in dietary needs from infancy to adolescence. Each talk as well as the discussions were summarised, including the main identified research gaps. The workshop led to the consensus on the crucial role on health of postprandial glycaemic response in paediatric population. However, a lack of scientific data has been identified regarding detailed glucose and insulin profiles in response to foods commonly consumed by paediatric populations, as well as a lack of long-term evidence including the need for suitable predictors during childhood and adolescence to anticipate health effects during adulthood.
</jats:p>}},
  author       = {{Vinoy, Sophie and Goletzke, Janina and Rakhshandehroo, Maryam and Schweitzer, Lisa and Flourakis, Matthieu and Körner, Antje and Alexy, Ute and van Schothorst, Evert M. and Ceriello, Antonio and Zakrzewski-Fruer, Julia K. and Buyken, Anette}},
  issn         = {{1436-6207}},
  journal      = {{European Journal of Nutrition}},
  keywords     = {{Nutrition and Dietetics, Medicine (miscellaneous)}},
  number       = {{3}},
  pages        = {{1093--1107}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Health relevance of lowering postprandial glycaemia in the paediatric population through diet’: results from a multistakeholder workshop}}},
  doi          = {{10.1007/s00394-022-03047-y}},
  volume       = {{62}},
  year         = {{2022}},
}

@article{45808,
  author       = {{Schadow, Alena M. and Revheim, Ingrid and Spielau, Ulrike and Dierkes, Jutta and Schwingshackl, Lukas and Frank, Jan and Hodgson, Jonathan M. and Moreira-Rosário, André and Seal, Chris J. and Buyken, Anette and Rosendahl-Riise, Hanne}},
  issn         = {{2161-8313}},
  journal      = {{Advances in Nutrition}},
  keywords     = {{Nutrition and Dietetics, Medicine (miscellaneous), Food Science}},
  number       = {{1}},
  pages        = {{30--43}},
  publisher    = {{Elsevier BV}},
  title        = {{{The Effect of Regular Consumption of Reformulated Breads on Glycemic Control: A Systematic Review and Meta-Analysis of Randomized Clinical Trials}}},
  doi          = {{10.1016/j.advnut.2022.10.008}},
  volume       = {{14}},
  year         = {{2022}},
}

@inproceedings{33739,
  abstract     = {{At least 5% of questions submitted to search engines ask about cause-effect relationships in some way. To support the development of tailored approaches that can answer such questions, we construct Webis-CausalQA-22, a benchmark corpus of 1.1 million causal questions with answers. We distinguish different types of causal questions using a novel typology derived from a data-driven, manual analysis of questions from ten large question answering (QA) datasets. Using high-precision lexical rules, we extract causal questions of each type from these datasets to create our corpus. As an initial baseline, the state-of-the-art QA model UnifiedQA achieves a ROUGE-L F1 score of 0.48 on our new benchmark.}},
  author       = {{Bondarenko, Alexander and Wolska, Magdalena and Heindorf, Stefan and Blübaum, Lukas and Ngonga Ngomo, Axel-Cyrille and Stein, Benno and Braslavski, Pavel and Hagen, Matthias and Potthast, Martin}},
  booktitle    = {{Proceedings of the 29th International Conference on Computational Linguistics}},
  pages        = {{3296–3308}},
  publisher    = {{International Committee on Computational Linguistics}},
  title        = {{{CausalQA: A Benchmark for Causal Question Answering}}},
  year         = {{2022}},
}

@article{45854,
  abstract     = {{In a previous paper the authors developed an algorithm to classify certain quaternary quadratic lattices over totally real fields. The present article applies this algorithm to the classification of binary Hermitian lattices over totally imaginary fields. We use it in particular to classify the 48-dimensional extremal even unimodular lattices over the integers that admit a semilarge automorphism.}},
  author       = {{Kirschmer, Markus and Nebe, Gabriele}},
  issn         = {{1058-6458}},
  journal      = {{Experimental Mathematics}},
  keywords     = {{General Mathematics}},
  number       = {{1}},
  pages        = {{280--301}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Binary Hermitian Lattices over Number Fields}}},
  doi          = {{10.1080/10586458.2019.1618756}},
  volume       = {{31}},
  year         = {{2022}},
}

@misc{45790,
  author       = {{Palushi, Juela}},
  title        = {{{Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks}}},
  year         = {{2022}},
}