@article{50297,
  abstract     = {{We show that there exist ordered orthogonal arrays, whose sizes deviate from the Rao bound by a factor that is polynomial in the parameters of the ordered orthogonal array. The proof is nonconstructive and based on a probabilistic method due to Kuperberg, Lovett and Peled.}},
  author       = {{Schmidt, Kai‐Uwe and Weiß, Charlene}},
  journal      = {{Journal of Combinatorial Designs}},
  number       = {{9}},
  pages        = {{422--431}},
  publisher    = {{Wiley}},
  title        = {{{Existence of small ordered orthogonal arrays}}},
  doi          = {{10.1002/jcd.21903}},
  volume       = {{31}},
  year         = {{2023}},
}

@phdthesis{50300,
  abstract     = {{Digital communications relies heavily on the usage of different types of codes. Prominent codes nowadays are rank-metric codes and subspace codes - the q-analogs of binary codes and binary codes with constant weight. All these codes can be viewed as subsets of classical association schemes. A central coding-theoretic problem is to derive upper bounds for the size of codes. This thesis investigates Delsartes powerful linear program whose optimum is precisely such a bound for codes in association schemes. The linear programs for binary codes and binary constant-weight codes have been extensively studied since the 1970s, but their optimum is still unknown. We determine in a unified way the optimum of the linear program in several ordinary q-analogs as well as in their affine counterparts. In particular, bounds and constructions for codes in polar spaces are established, where the bounds are sharp up to a constant factor in many cases. Moreover, based on these results, an almost complete classification of Steiner systems in polar spaces is provided by showing that they could only exist in some corner cases.}},
  author       = {{Weiß, Charlene}},
  title        = {{{Linear programming bounds in classical association schemes}}},
  doi          = {{10.17619/UNIPB/1-1672}},
  year         = {{2023}},
}

@inbook{50317,
  author       = {{Autsch, Sabiene}},
  booktitle    = {{Impulse 6. Texte und Bilder zur Kunstvermittlung: ABHÄNGEN. Ein interdisziplinäres Projekt zur documenta fifteen (2022)}},
  editor       = {{Autsch, Sabiene and Pickartz, Tim}},
  title        = {{{"Fotonotizen". documenta fifteen}}},
  year         = {{2023}},
}

@inbook{50335,
  author       = {{Puscher, Sahra}},
  booktitle    = {{Biopolitik(en) in Literatur, Film und Serie. Aushandlungs- und Reflexionsräume vom 18. Jahrhundert bis heute}},
  editor       = {{Hannebohm, Ronja and Harmening, Anda-Lisa}},
  pages        = {{203--217}},
  title        = {{{"More human than human.“ – Biopolitik und Geschlecht in Alex Garlands Ex Machina}}},
  doi          = {{10.17619/UNIPB/1-1721}},
  volume       = {{Bd. 4}},
  year         = {{2023}},
}

@article{50352,
  author       = {{Kolbaum, AE and Jung, C and Jaeger, A and Libuda, Lars and Lindtner, O}},
  issn         = {{0278-6915}},
  journal      = {{Food Chem Toxicol}},
  pages        = {{114404}},
  title        = {{{Assessment of long-term dietary cadmium exposure in children in Germany: Does consideration of data from total diet studies reduce uncertainties from food monitoring programmes?}}},
  volume       = {{184}},
  year         = {{2023}},
}

@misc{50347,
  abstract     = {{Um die Selbstwahrnehmung motorischer Basiskompetenzen bei Kindern der 1. und 2. Klasse zu erfassen, wurde ein illustriertes Instrument entwickelt. Das Instrument orientiert sich am MOBAK-1-2 Instrument, mit welchem die motorischen Basiskompetenzen von Kindern getestet werden. Das Manual enthält die Instruktionen sowie die illustrieren Antwortoptionen und Testaufgaben.}},
  author       = {{Bretz, Kathrin and Strotmeyer, Anne and Herrmann, Christian}},
  publisher    = {{LibreCat University}},
  title        = {{{SEMOK-1-2: Selbstwahrnehmung motorischer Basiskompetenzen in der ersten und zweiten Primarschulklasse. Manual}}},
  doi          = {{10.5281/ZENODO.10130100}},
  year         = {{2023}},
}

@inbook{50357,
  abstract     = {{Designbasierte Forschung umfasst verschiedene Ausprägungsformen von Forschungsprozessen, die auf die Entwicklung und Implementation von Innovationen abzielen. Mit der Anwendung von designbasierten Ansätzen haben Forscherinnen und Forscher den Anspruch, sich an der Lösung praktischer Problemlagen zu beteiligen; dies ist ein wichtiger Ausgangspunkt für die Anlage von Forschungsprozessen und -programmen. Häufig geht es um bisher wenig strukturierte, aktuelle Probleme in der Berufsbildungspraxis, was wiederum bedeutsam für das Aufeinandertreffen und die Zusammenarbeit von Wissenschaft und Praxis ist. Der vorliegende Band nimmt die Vielfalt designbasierter Forschung auf und dokumentiert, ergänzt durch Visualisierungen, die Beiträge des AG BFN Forums „Wissenschaft trifft Praxis – Designbasierte Forschung in der beruflichen Bildung“, welches in einem digitalen Format an der Universität Paderborn stattfand. }},
  author       = {{Ertl, Hubert and Kremer, H.-Hugo and Kundisch, Heike and Sloane, Peter F. E.}},
  booktitle    = {{Wissenschaft trifft Praxis - Designbasierte Forschung in der beruflichen Bildung.}},
  editor       = {{Kremer, H.-Hugo and Ertl, Hubert and Sloane, Peter F. E.}},
  publisher    = {{Verlag Barbara Budrich}},
  title        = {{{Designbasierte Forschung in der beruflichen Bildung:Perspektiven aus Wissenschaft, Praxis und Politik. }}},
  volume       = {{Band 30}},
  year         = {{2023}},
}

@article{50368,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>After 50 years, there is still an ongoing debate about the Limits to Growth (LtG) study. This paper recalibrates the 2005 World3‐03 model. The input parameters are changed to better match empirical data on world development. An iterative method is used to compute and optimize different parameter sets. This improved parameter set results in a World3 simulation that shows the same overshoot and collapse mode in the coming decade as the original business as usual scenario of the LtG standard run. The main effect of the recalibration update is to raise the peaks of most variables and move them a few years into the future. The parameters with the largest relative changes are those related to industrial capital lifetime, pollution transmission delay, and urban‐industrial land development time.</jats:p>}},
  author       = {{Nebel, Arjuna and Kling, Alexander and Willamowski, Ruben and Schell, Tim}},
  issn         = {{1088-1980}},
  journal      = {{Journal of Industrial Ecology}},
  keywords     = {{General Social Sciences, General Environmental Science}},
  publisher    = {{Wiley}},
  title        = {{{Recalibration of limits to growth: An update of the World3 model}}},
  doi          = {{10.1111/jiec.13442}},
  year         = {{2023}},
}

@article{50356,
  author       = {{Kundisch, Heike}},
  journal      = {{Magazin des Forum Bildung Digitalisierung}},
  title        = {{{Wie wir die mittlere Führungsebene als Transformationsbegleiter:innen an Schulen stärken können}}},
  year         = {{2023}},
}

@misc{50370,
  author       = {{Eickelmann, Birgit}},
  title        = {{{KI in der Schule und Bildungsgerechtigkeit. Blog-Beitrag im fiete.ai-Blog.}}},
  year         = {{2023}},
}

@article{50407,
  abstract     = {{In the last decade, conductive domain walls (CDWs) in single crystals of the uniaxial model ferroelectric lithium niobate (LiNbO3; LNO) have been shown to reach resistances more than 10 orders of magnitude lower than the resistance of the surrounding bulk, with charge carriers being firmly confined to sheets with a width of a few nanometers. LNO is thus currently witnessing increased attention because of its potential in the design of room-temperature nanoelectronic circuits and devices based on such CDWs. In this context, the reliable determination of the fundamental transport parameters of LNO CDWs, in particular the 2D charge carrier density n2D and the Hall mobility μH of the majority carriers, is of great interest. In this contribution, we present and apply a robust and easy-to-prepare Hall-effect measurement setup by adapting the standard four-probe van der Pauw method to contact a single, hexagonally shaped domain wall that fully penetrates the 200-μm-thick LNO bulk single crystal. We then determine n2D and μH for a set of external magnetic fields B and prove the expected cosinelike angular dependence of the Hall voltage. Lastly, we present photoinduced-Hall-effect measurements of one and the same DW, by determining the impact of super-band-gap illumination on n2D.}},
  author       = {{Beccard, Henrik and Beyreuther, Elke and Kirbus, Benjamin and Seddon, Samuel D. and Rüsing, Michael and Eng, Lukas M.}},
  issn         = {{2331-7019}},
  journal      = {{Physical Review Applied}},
  keywords     = {{General Physics and Astronomy}},
  number       = {{6}},
  publisher    = {{American Physical Society (APS)}},
  title        = {{{Hall mobilities and sheet carrier densities in a single LiNbO3 conductive ferroelectric domain wall}}},
  doi          = {{10.1103/physrevapplied.20.064043}},
  volume       = {{20}},
  year         = {{2023}},
}

@misc{50403,
  author       = {{Troike, Manuel}},
  booktitle    = {{SAMPLES}},
  issn         = {{1216-8001}},
  publisher    = {{Gesellschaft für Popularmusikforschung}},
  title        = {{{Rezension zu Dagmar Abfalter und Rosa Reitsamer (Hg.) (2022) »Music as Labour – Inequalities and Activism in the Past and Present.«}}},
  volume       = {{21}},
  year         = {{2023}},
}

@inproceedings{37312,
  abstract     = {{Optimal decision making requires appropriate evaluation of advice. Recent literature reports that algorithm aversion reduces the effectiveness of predictive algorithms. However, it remains unclear how people recover from bad advice given by an otherwise good advisor. Previous work has focused on algorithm aversion at a single time point. We extend this work by examining successive decisions in a time series forecasting task using an online between-subjects experiment (N = 87). Our empirical results do not confirm algorithm aversion immediately after bad advice. The estimated effect suggests an increasing algorithm appreciation over time. Our work extends the current knowledge on algorithm aversion with insights into how weight on advice is adjusted over consecutive tasks. Since most forecasting tasks are not one-off decisions, this also has implications for practitioners.}},
  author       = {{Leffrang, Dirk and Bösch, Kevin and Müller, Oliver}},
  booktitle    = {{Hawaii International Conference on System Sciences}},
  keywords     = {{Algorithm aversion, Time series, Decision making, Advice taking, Forecasting}},
  title        = {{{Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time}}},
  year         = {{2023}},
}

@inproceedings{50121,
  abstract     = {{Many researchers and practitioners see artificial intelligence as a game changer compared to classical statistical models. However, some software providers engage in “AI washing”, relabeling solutions that use simple statistical models as AI systems. By contrast, research on algorithm aversion unsystematically varied the labels for advisors and treated labels such as "artificial intelligence" and "statistical model" synonymously. This study investigates the effect of individual labels on users' actual advice utilization behavior. Through two incentivized online within-subjects experiments on regression tasks, we find that labeling human advisors with labels that suggest higher expertise leads to an increase in advice-taking, even though the content of the advice remains the same. In contrast, our results do not suggest such an expert effect for advice-taking from algorithms, despite differences in self-reported perception. These findings challenge the effectiveness of framing intelligent systems as AI-based systems and have important implications for both research and practice.}},
  author       = {{Leffrang, Dirk}},
  booktitle    = {{International Conference on Information Systems}},
  keywords     = {{Artificial Intelligence, Algorithm Appreciation, Framing, Advice-taking, Expertise}},
  location     = {{Hyderabad, India}},
  number       = {{10}},
  title        = {{{AI Washing: The Framing Effect of Labels on Algorithmic Advice Utilization}}},
  year         = {{2023}},
}

@inproceedings{50118,
  abstract     = {{Despite the widespread use of machine learning algorithms, their effectiveness is limited by a phenomenon known as algorithm aversion. Recent research concluded that unobserved variables can cause algorithm aversion. However, the impact of an unobserved variable on algorithm aversion remains unclear. Previous studies focused on situations where humans had more variables available than algorithms. We extend this research by conducting an online experiment with 94 participants, systematically varying the number of observable variables to the advisor and the advisor type. Surprisingly, our results did not confirm that an unobserved variable had a negative effect on advice-taking. Instead, we found a positive impact in an algorithm appreciation scenario. This study provides new insights into the paradoxical behavior in which people weigh advice more despite having fewer variables, as they correct for the advisor's errors. Practitioners should consider this behavior when designing algorithms and account for user correction behavior.}},
  author       = {{Leffrang, Dirk}},
  booktitle    = {{Wirtschaftsinformatik Conference}},
  keywords     = {{Algorithm aversion, Data, Decision-making, Advice-taking, Human-Computer Interaction}},
  location     = {{Paderborn}},
  number       = {{19}},
  title        = {{{The Broken Leg of Algorithm Appreciation: An Experimental Study on the Effect of Unobserved Variables on Advice Utilization}}},
  year         = {{2023}},
}

@article{50429,
  author       = {{Schroeder, René and Franzen, Katja and Reh, Anne}},
  issn         = {{2699-2477}},
  journal      = {{QfI - Qualifizierung für Inklusion. Online-Zeitschrift zur Forschung über Aus-, Fort- und Weiterbildung pädagogischer Fachkräfte}},
  number       = {{1}},
  pages        = {{17}},
  title        = {{{Diagnostische Potentiale von Lernaufgaben im Sachunterricht fach- und entwicklungsbezogen analysieren und nutzbar machen}}},
  doi          = {{https://doi.org/10.21248/qfi.100}},
  volume       = {{5}},
  year         = {{2023}},
}

@inproceedings{50430,
  author       = {{Görel, Gamze and Franzen, Katja and Hellmich, Frank}},
  location     = {{Universität Potsdam, Potsdam}},
  title        = {{{Quellen der Selbstwirksamkeitsüberzeugungen von Lehramtsstudierenden im Zusammenhang mit der Gestaltung von inklusivem Unterricht}}},
  year         = {{2023}},
}

@article{50428,
  author       = {{Görel, Gamze and Franzen, Katja and Hellmich, Frank}},
  issn         = {{1354-0602, 1470-1278}},
  journal      = {{Teachers and Teaching}},
  pages        = {{1--14}},
  title        = {{{Primary school teachers' perspectives on the quality of inclusive education}}},
  doi          = {{10.1080/13540602.2023.2252347}},
  year         = {{2023}},
}

@inproceedings{50431,
  abstract     = {{Recommender systems now span the entire customer journey. Amid the multitude of diversified experi- ences, immersing in cultural events has become a key aspect of tourism. Cultural events, however, suffer from fleeting lifecycles, evade exact replication, and invariably lie in the future. In addition, their low standardization makes harnessing historical data regarding event content or past patron evaluations intricate. The distinctive traits of events thereby compound the challenge of the cold-start dilemma in event recommenders. Content-based recommendations stand as a viable avenue to alleviate this issue, functioning even in scenarios where item-user information is scarce. Still, the effectiveness of content- based recommendations often hinges on the quality of the data representation they build upon. In this study, we explore an array of cutting-edge uni- and multimodal vision and language foundation models (VL-FMs) for this purpose. Next, we derive content-based recommendations through a straightforward clustering approach that groups akin events together, and evaluate the efficacy of the models through a series of online user experiments across three dimensions: similarity-based evaluation, comparison-based evaluation, and clustering assignment evaluation. Our experiments generated four major findings. First, we found that all VL-FMs consistently outperformed a naive baseline of recommending randomly drawn events. Second, unimodal text-based embeddings were surprisingly on par or in some cases even superior to multimodal embeddings. Third, multimodal embeddings yielded arguably more fine-grained and diverse clusters in comparison to their unimodal counterparts. Finally, we could confirm that cross event interest is indeed reliant on the perceived similarity of events, resonating with the notion of similarity in content-based recommendations. All in all, we believe that leveraging the potential of contemporary FMs for content-based event recommendations would help address the cold-start problem and propel this field of research forward in new and exciting ways.}},
  author       = {{Halimeh, Haya and Freese, Florian and Müller, Oliver}},
  booktitle    = {{Workshop on Recommenders in Tourism, co-located with the 17th ACM Conference on Recommender Systems}},
  title        = {{{Event Recommendations through the Lens of Vision and Language Foundation Models}}},
  year         = {{2023}},
}

@inproceedings{45270,
  abstract     = {{Clinical depression is a serious mental disorder that poses challenges for both personal and public health. Millions of people struggle with depression each year, but for many, the disorder goes undiagnosed or untreated. Over the last decade, early depression detection on social media emerged as an interdisciplinary research field. However, there is still a gap in detecting hesitant, depression-susceptible individuals with minimal direct depressive signals at an early stage. We, therefore, take up this open point and leverage posts from Reddit to fill the addressed gap. Our results demonstrate the potential of contemporary Transformer architectures in yielding promising predictive capabilities for mental health research. Furthermore, we investigate the model’s interpretability using a surrogate and a topic modeling approach. Based on our findings, we consider this work as a further step towards developing a better understanding of mental eHealth and hope that our results can support the development of future technologies.}},
  author       = {{Halimeh, Haya and Caron, Matthew and Müller, Oliver}},
  booktitle    = {{Hawaii International Conference on System Sciences}},
  keywords     = {{Social Media and Healthcare Technology, early depression detection, liwc, mental health, transfer learning, transformer architectures}},
  title        = {{{Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features}}},
  year         = {{2023}},
}