• Learning analytics and the Universal Design for Learning (UDL): A clustering approach 

  Roski, Marvin; Sebastian, Ratan; Ewerth, Ralph; Hoppe, Anett; Nehring, Andreas (Amsterdam [u.a.] : Elsevier Science, 2024)

  In the context of inclusive education, Universal Design for Learning (UDL) is a framework used worldwide to create learning opportunities accessible to all learners. While much research focused on the design and students' ...
• Investigation of chain-length selection by the tenellin iterative highly-reducing polyketide synthase 

  Schmidt, Katharina; Cox, Russell J. (London : RSC Publishing, 2024)

  The programming of widely distributed iterative fungal hr-PKS is mysterious, yet it is central for generating polyketide natural product diversity by controlling the chain length, β-processing level and methylation patterns ...
• Exploring the fundamental limits of integrated beam splitters with arbitrary phase via topology optimization 

  Nanda, Abhishek; Kues, Michael; Calà Lesina, Antonio (Washington, DC : Soc., 2024)

  Optical beam splitters are essential for classical and quantum photonic on-chip systems. In integrated optical technology, a beam splitter can be implemented as a beam coupler with two input and two output ports. The output ...
• QuoteKG: A Multilingual Knowledge Graph of Quotes 

  Kuculo, Tin; Gottschalk, Simon; Demidova, Elena (Cham, Switzerland : Springer, 2022)

  Quotes of public figures can mark turning points in history. A quote can explain its originator’s actions, foreshadowing political or personal decisions and revealing character traits. Impactful quotes cross language ...
• Comparing Interface Layouts for the Presentation of Multimodal Search Results 

  Gritz, Wolfgang; Otto, Christian; Hoppe, Anett; Pardi, Georg; Kammerer, Yvonne; Ewerth, Ralph (New York, NY : Association for Computing Machinery, 2023)

  Today's search engines allow users to discover relevant information in different types of modalities or media, e.g., web pages, text documents, images, or videos. It is, however, a challenging task to present mixed-modality ...
• Improving Generalization for Multimodal Fake News Detection 

  Tahmasebi, Sahar; Hakimov, Sherzod; Ewerth, Ralph; Müller-Budack, Eric (New York, NY : Association for Computing Machinery, 2023)

  The increasing proliferation of misinformation and its alarming impact have motivated both industry and academia to develop approaches for fake news detection. However, state-of-the-art approaches are usually trained on ...
• Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study 

  Benítez-Andrades, José Alberto; Alija-Pérez, José-Manuel; Vidal, Maria-Esther; Pastor-Vargas, Rafael; García-Ordás, María Teresa (Toronto : [Verlag nicht ermittelbar], 2022)

  Background: Eating disorders affect an increasing number of people. Social networks provide information that can help. Objective: We aimed to find machine learning models capable of efficiently categorizing tweets about ...
• Impact of electrically assisted bicycles on physical activity and traffic accident risk: A prospective observational study 

  Haufe, Sven; Boeck, Hedwig Theda; Häckl, Sebastian; Boyen, Johanna; Kück, Momme; van Rhee, Clara Catharina; Graf von der Schulenburg, Johann-Matthias; Zeidler, Jan; Schmidt, Torben; Johannsen, Heiko; Holzwart, Dennis; Koch, Armin; Tegtbur, Uwe (London : BMJ Publishing Group, 2022)

  Background Electrically assisted bicycles (e-bikes) have become increasingly popular and may facilitate active commuting and recreational cycling. Objective To evaluate the physical activity levels and usage characteristics ...
• Understanding image-text relations and news values for multimodal news analysis 

  Cheema, Gullal S.; Hakimov, Sherzod; Müller-Budack, Eric; Otto, Christian; Bateman, John A.; Ewerth, Ralph (Lausanne : Frontiers Media, 2023)

  The analysis of news dissemination is of utmost importance since the credibility of information and the identification of disinformation and misinformation affect society as a whole. Given the large amounts of news data ...
• "Outroduction”: A Research Agenda on Collegiality in University Settings 

  Cloete, Nico; Côté, Nancy; Crace, Logan; Delbridge, Rick; Denis, Jean-Louis; Drori, Gili S.; Eriksson-Zetterquist, Ulla; Gehman, Joel; Gerhardt, Lisa-Maria; Goldenstein, Jan; Harroche, Audrey; Jandrić, Jakov; Kosmützky, Anna; Krücken, Georg; Lee, Seungah S.; Lounsbury, Michael; Mizrahi-Shtelman, Ravit; Musselin, Christine; Gustafsson, Hampus Östh; Pineda, Pedro; Quattrone, Paolo; Ramirez, Francisco O.; Sahlin, Kerstin; van Schalkwyk, Francois; Walgenbach, Peter (Bingley : Emerald, 2023)

  Collegiality is the modus operandi of universities. Collegiality is central to academic freedom and scientific quality. In this way, collegiality also contributes to the good functioning of universities’ contribution to ...
• Crowdsourcing Scholarly Discourse Annotations 

  Oelen, Allard; Stocker, Markus; Auer, Sören (New York, NY : Association for Computing Machinery, 2021)

  The number of scholarly publications grows steadily every year and it becomes harder to find, assess and compare scholarly knowledge effectively. Scholarly knowledge graphs have the potential to address these challenges. ...
• Stance Inference in Twitter through Graph Convolutional Collaborative Filtering Networks with Minimal Supervision 

  Zhou, Zhiwei; Elejalde, Erick (New York, NY : Association for Computing Machinery, 2023)

  Social Media (SM) has become a stage for people to share thoughts, emotions, opinions, and almost every other aspect of their daily lives. This abundance of human interaction makes SM particularly attractive for social ...
• Hydrodynamic coefficients of mussel dropper lines derived from large-scale experiments and structural dynamics 

  Landmann, Jannis; Flack, Christian; Kowalsky, Ursula; Wüchner, Roland; Hildebrandt, Arndt; Goseberg, Nils (Berlin [u.a.] : Springer, 2023)

  The expansion of marine aquaculture production is driven by a high market demand for marine proteins and a stagnation of wild catch of fish. Bivalve farming, i.e., the cultivation of oysters, mussels and scallops, is an ...
• Improved polarimetric analysis of human skin through stitching: advantages, limitations, and applications in dermatology 

  Jütte, Lennart; Patel, Harshkumar; Roth, Bernhard (Bristol : IOP Publ., 2023)

  Polarimetry is a powerful tool for the analysis of the optical properties of materials and systems, such as human skin. However, in many polarimetric setups, the field of view is limited to a few square centimeters. In ...
• Towards Certified Distributed Query Processing 

  Rohde, Philipp D.; Vidal, Maria-Esther (Aachen, Germany : RWTH Aachen, 2023)

  In recent years, knowledge graphs (KGs) have gained more and more importance. As a consequence of that, the number of publicly accessible KGs is increasing. Due to their adoption in many areas, KGs are used in numerous ...
• A Review on Recent Advances in Video-based Learning Research: Video Features, Interaction, Tools, and Technologies 

  Navarrete, Evelyn; Hoppe, Anett; Ewerth, Ralph (Aachen, Germany : RWTH Aachen, 2021)

  Human learning shifts stronger than ever towards online settings, and especially towards video platforms. There is an abundance of tutorials and lectures covering diverse topics, from fixing a bike to particle physics. ...
• On the Role of Images for Analyzing Claims in Social Media 

  Cheema, Gullal S.; Hakimov, Sherzod; Müller-Budack, Eric; Ewerth, Ralph (Aachen, Germany : RWTH Aachen, 2021)

  Fake news is a severe problem in social media. In this paper, we present an empirical study on visual, textual, and multimodal models for the tasks of claim, claim check-worthiness, and conspiracy detection, all of which ...
• On the Impact of Features and Classifiers for Measuring Knowledge Gain during Web Search - A Case Study 

  Gritz, Wolfgang; Hoppe, Anett; Ewerth, Ralph (Aachen, Germany : RWTH Aachen, 2021)

  Search engines are normally not designed to support human learning intents and processes. The field of Search as Learning (SAL) aims to investigate the characteristics of a successful Web search with a learning purpose. ...
• Domain-Specific Modeling of User Knowledge in Informational Search Sessions 

  Tang, Rui; Yu, Ran; Rokicki, Markus; Ewerth, Ralph; Dietze, Stefan (Aachen, Germany : RWTH Aachen, 2021)

  Users frequently search on the Web to fulfill information needs with learning intent. In this context, usefulness of the search results depends strongly on the knowledge state of the user. In order to satisfy learning needs ...
• A Multimodal Approach for Semantic Patent Image Retrieval 

  Pustu-Iren, Kader; Bruns, Gerrit; Ewerth, Ralph (Aachen, Germany : RWTH Aachen, 2021)

  Patent images such as technical drawings contain valuable information and are frequently used by experts to compare patents. However, current approaches to patent information retrieval are largely focused on textual ...

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