@inproceedings{58839,
  author       = {{Schlenker, Julian and Vater, Hendrik and Yigitbas, Enes and Dann, Alexander}},
  booktitle    = {{Proceedings of the 27th International Conference on Human-Computer Interaction (HCII 2025)}},
  publisher    = {{Springer}},
  title        = {{{Seamless Augmented Reality Support for a Computer-Assisted Surgery System for Minimally Invasive Orthopedic Surgeries}}},
  year         = {{2025}},
}

@inproceedings{58835,
  author       = {{Schmidt, Leonard and Yigitbas, Enes}},
  booktitle    = {{Proceedings of the 18th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2025)}},
  publisher    = {{ACM}},
  title        = {{{Taxonomy and Analysis of Security Vulnerabilities, Privacy Violations and Potential Mitigation Strategies to XR Systems}}},
  year         = {{2025}},
}

@inproceedings{58836,
  author       = {{Yigitbas, Enes and Karch, Julian }},
  booktitle    = {{Proceedings of the 18th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2025)}},
  publisher    = {{ACM}},
  title        = {{{Immersive Smart Home Planning and Automation with Mixed Reality and Digital Twin Technologies}}},
  year         = {{2025}},
}

@inproceedings{58837,
  author       = {{Yigitbas, Enes and Karch, Julian}},
  booktitle    = {{Proceedings of the 18th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2025)}},
  publisher    = {{ACM}},
  title        = {{{Augmented Reality-Assisted Assessment of Workplace Ergonomy}}},
  year         = {{2025}},
}

@inproceedings{58838,
  author       = {{Geil, Manuel and Wübbeke, Andreas and Yigitbas, Enes}},
  booktitle    = {{Proceedings of the 27th International Conference on Human-Computer Interaction (HCII 2025)}},
  publisher    = {{Springer}},
  title        = {{{Blackbox Unit Testing of Virtual Reality Applications}}},
  year         = {{2025}},
}

@article{58853,
  abstract     = {{<jats:title>Abstract</jats:title>
          <jats:p>While being a promising approach for the treatment of infections caused by drug-resistant, pathogenic bacteria, the clinical implementation of phage therapy still faces several challenges. One of these challenges lies in the high strain-specificity of most bacteriophages, which makes it necessary to screen large phage collections against the target pathogens in order to identify suitable candidates for the formulations of personalized therapeutic phage cocktails. In this work, we evaluate the potential of quartz crystal microbalance with dissipation monitoring (QCM-D) to identify and detect phage infection and subsequent lysis of bacteria immobilized on the surfaces of the QCM-D sensors. Using lytic <jats:italic>Escherichia coli</jats:italic> phage T7 as a model, we show that phage infection of <jats:italic>E. coli</jats:italic> cells results in various unique alterations in the behaviors of the frequency (Δ<jats:italic>f</jats:italic>) and dissipation (Δ<jats:italic>D</jats:italic>) signals, which are not observed during exposure of the <jats:italic>E. coli</jats:italic> strain to non-infectious <jats:italic>Bacillus subtilis</jats:italic> phage phi29 at similar concentration. To aid future phage screening campaigns, we furthermore identify a single measurement parameter, i.e., the spread between the different overtones of Δ<jats:italic>D</jats:italic>, that can be used to detect phage-induced lysis. For T7 infection of <jats:italic>E. coli</jats:italic>, this is achieved within 4 h after inoculation, including immobilization and growth of the bacteria on the sensor surface, as well as the completed phage propagation cycle. Given the commercial availability of highly automated multichannel systems and the fact that this approach does not require any sensor modifications, QCM-D has the potential to become a valuable tool for screening medium-sized phage collections against target pathogens.</jats:p>
          <jats:p>
            <jats:bold>Graphical Abstract</jats:bold>
          </jats:p>}},
  author       = {{Pothineni, Bhanu K. and Probst, René and Kiefer, Dorothee and Dobretzberger, Verena and Barišić, Ivan and Grundmeier, Guido and Keller, Adrian}},
  issn         = {{1618-2642}},
  journal      = {{Analytical and Bioanalytical Chemistry}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Monitoring phage infection and lysis of surface-immobilized bacteria by QCM-D}}},
  doi          = {{10.1007/s00216-025-05803-5}},
  year         = {{2025}},
}

@inproceedings{58869,
  author       = {{Meier, Jana and Meusel, Sarah}},
  location     = {{Universität zu Köln}},
  title        = {{{Zusammenhänge zwischen dem Rollenverständnis angehender Lehrpersonen und ihren Einstellungen zu Mehrsprachigkeit}}},
  year         = {{2025}},
}

@article{58556,
  abstract     = {{To predict and prevent uneven tire wear in addition to a reduction of overall tire wear, it is essential to estimate not only the total amount of wear but also how the wear is distributed across the tire width. This requires knowledge of the frictional power distribution in the tire contact patch, which is the basis for calculating tire wear using a wear law. Usually, only 3D structural tire models can generate such distributed contact results. However, they involve high computational costs and cannot be used for comprehensive optimization of a vehicle’s suspension system with respect to tire wear characteristics. Hence, this contribution presents a methodology on how to accelerate the prediction of the frictional power distribution using two components: The structural tire model is replaced by an empirical tire model that on its own is not able to generate distributed contact results. Therefore, an artificial neural network is trained to predict the desired contact results from the kinematic quantities calculated by the empirical tire model. In the initial training phase, both components are fitted to data generated by the original complex tire model. After training, the empirical tire model can replace the structural tire model in vehicle simulations, resulting in significantly shorter calculation times. The simulation results are fed into the artificial neural network, which predicts the frictional power distributions over the tire width with negligible additional effort. Overall, the methodology reduces calculation time for the prediction of tire wear based on virtual test drives to approximately 25% of the time needed when using structural tire models.}},
  author       = {{Muth, Lars and Zharia, Raphael and Sahin, Hürkan and Sextro, Walter}},
  journal      = {{Tire Science and Technology}},
  publisher    = {{The Tire Society}},
  title        = {{{Prediction of the Frictional Power Distribution in the Tire Contact Patch Based on an Empirical Tire Model and an Artificial Neural Network}}},
  doi          = {{https://doi.org/10.2346/TST-24-009}},
  year         = {{2025}},
}

@article{58165,
  author       = {{Neumann, Maximilian and Xia, Marc and Pöschmann, René and Merkel, Amelie and Staud, Rolf and Schneider, Hannes and Ehlert, Thomas and Paschold, Jürgen and Müller, Steffen and Harding, Laura-Selin and Neukäufer, Johannes and Hiller, Christoph and Ausner, Ilja and Gäbler, Ansor and Chromik, Reiner and Maćkowiak, Jan and Maćkowiak, Jerzy and Sola Cervera, Jose Luis and Geipel, Christian and Brinkmann, Jost and Bausa, Jürgen and Zeck, Sebastian and Hapke, Mark and Forner, Florian and Habla, Florian and Knaup, Manuel and Schulz, Robin and Schultes, Michael and Harlacher, Thomas and Lutters, Nicole and Kenig, Eugeny and Jasch, Katharina and Paschetag, Mandy and Scholl, Stephan and Grünewald, Marcus and Brösigke, Georg and Repke, Jens-Uwe and Klein, Harald and Rehfeldt, Sebastian}},
  issn         = {{1383-5866}},
  journal      = {{Separation and Purification Technology}},
  publisher    = {{Elsevier BV}},
  title        = {{{Towards reliable HETP values: Lessons learned from standardized separation efficiency measurements}}},
  doi          = {{10.1016/j.seppur.2025.131436}},
  volume       = {{361}},
  year         = {{2025}},
}

@article{58885,
  abstract     = {{There have been several attempts to conceptualize and operationalize pedagogical content knowledge (PCK) in the context of teachers' professional competencies. A recent and popular model is the Refined Consensus Model (RCM), which proposes a framework of dispositional competencies (personal PCK—pPCK) that influence more action-related competencies (enacted PCK—ePCK) and vice versa. However, descriptions of the internal structure of pPCK and possible knowledge domains that might develop independently are still limited, being either primarily theoretically motivated or strictly hierarchical and therefore of limited use, for example, for formative feedback and further development of the RCM. Meanwhile, a non-hierarchical differentiation for the ePCK regarding the plan-teach-reflect cycle has emerged. In this study, we present an exploratory computational approach to investigate pre-service teachers' pPCK for a similar non-hierarchical structure using a large dataset of responses to a pPCK questionnaire (N=846). We drew on theoretical foundations and previous empirical findings to achieve interpretability by integrating this external knowledge into our analyses using the Computational Grounded Theory (CGT) framework. The results of a cluster analysis of the pPCK scores indicate the emergence of prototypical groups, which we refer to as competency profiles: (1) a group with low performance, (2) a group with relatively advanced competency in using pPCK to create instructional elements, (3) a group with relatively advanced competency in using pPCK to assess and analyze described instructional elements, and (4) a group with high performance. These groups show tendencies for certain language usage, which we analyze using a structural topic model in a CGT-inspired pattern refinement step. We verify these patterns by demonstrating the ability of a machine learning model to predict the competency profile assignments. Finally, we discuss some implications of the results for the further development of the RCM and their potential usability for an automated formative assessment.}},
  author       = {{Zeller, Jannis and Riese, Josef}},
  issn         = {{1098-2736}},
  journal      = {{Journal of Research in Science Teaching}},
  keywords     = {{computational grounded theory, language analysis, machine learning, pedagogical content knowledge, unsupervised learning}},
  title        = {{{Competency Profiles of PCK Using Unsupervised Learning: What Implications for the Structures of pPCK Emerge From Non-Hierarchical Analyses?}}},
  doi          = {{10.1002/tea.70001}},
  year         = {{2025}},
}

@article{58907,
  author       = {{Hörnlein, Madeleine}},
  journal      = {{die hochschullehre}},
  title        = {{{Physik lernen durch Erklären? - Evaluation eines Seminarkonzepts für Sachunterrichtsstudierende}}},
  doi          = {{https://dx.doi.org/10.3278/HSL2462W}},
  volume       = {{11}},
  year         = {{2025}},
}

@inproceedings{58924,
  author       = {{Peeters, Hendrik and Habig, Sebastian and Fechner, Sabine}},
  booktitle    = {{Actes des XIIIe Rencontres scientifiques de l’ARDIST}},
  editor       = {{Munier, Valérie and Bächtold, Manuel}},
  location     = {{Montpellier}},
  pages        = {{48--55}},
  title        = {{{Influence de l'utilisation de la réalité augmentée lors des expériences chimiques sur la connexion des niveaux de représentation dans les explications des élèves}}},
  year         = {{2025}},
}

@article{58925,
  abstract     = {{<jats:title>Abstract</jats:title>
          <jats:p>Random fluctuations in somatosensory signals affect the ability of effectively coordinating multimodal information pertaining to the postural state during movement. Therefore, this study aimed to investigate the impact of a compliant surface on cortico-cortical causal information flow during multi-joint compound movements. Fifteen healthy adults (7 female / 8 male, 25.9 ± 4.0 years) performed 5 × 20 repetitions of bodyweight squats on firm and compliant surface. Motor behavior was quantified by center of pressure (CoP) displacements, hip movement and the root mean square of the rectus femoris activity. Using source space analysis, renormalized partial directed coherence (rPDC) computed subject-level multivariate effective brain connectivity of sensorimotor nodes. Bootstrap statistics revealed significantly decreased medio-lateral CoP displacement (<jats:italic>p</jats:italic> &lt; 0.001), significantly increased velocity of medio-lateral hip motion (<jats:italic>p</jats:italic> &lt; 0.001) as well as significantly lower rectus femoris activity (<jats:italic>p</jats:italic> &lt; 0.01) in the compliant surface condition. On the cortical level, rPDC showed significantly modulated information flow in theta and beta frequencies for fronto-parietal edges (<jats:italic>p</jats:italic> &lt; 0.01) only during the concentric phase of the movement. The compliant surface led to increased difficulties controlling hip but not center of pressure motion in the medio-lateral plane. Moreover, a decreased activation of the prime movers accompanied by modulations of effective brain connectivity among fronto-central nodes may point to altered demands on sensorimotor information processing in presence of sensory noise when performing bodyweight squats on compliant surface. Further studies are needed to evaluate a potential benefit for athletic and clinical populations.</jats:p>}},
  author       = {{Lehmann, Tim and Visser, Anton Samuel and Havers, Tim and Büchel, Daniel and Baumeister, Jochen}},
  issn         = {{0014-4819}},
  journal      = {{Experimental Brain Research}},
  number       = {{4}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Dynamic modulations of effective brain connectivity associated with postural instability during multi-joint compound movement on compliant surface}}},
  doi          = {{10.1007/s00221-025-07039-2}},
  volume       = {{243}},
  year         = {{2025}},
}

@article{58935,
  abstract     = {{In diesem Beitrag wird ein zwei Sitzungen umfassendes, flexibel integrierbares Lehrmodul zur Stärkung der Demokratiebildungskompetenz von Lehramtsstudierenden evaluiert. Dazu werden 101 schriftliche Reflexionen von Studierenden aus drei bildungswissenschaftlichen Hochschulseminaren aus dem Wintersemester 2022/2023 und dem Sommersemester 2023 anhand der Text-Sortier-Technik ausgewertet. Die Evaluationsergebnisse verdeutlichen die studentischen Lernaktivitäten in den Kompetenzbereichen Werte, Einstellungen und Fähigkeiten für eine demokratische Kultur. Zudem wurden die Kenntnisse der Studierenden zur methodischen Gestaltung von demokratischen Aushandlungsprozessen im Unterrichts- und Schulkontext erweitert. Demnach konnte die Wirksamkeit des Lernmoduls auf der Prozess- und Ergebnisdimension hochschulischen Lernens plausibilisiert werden.}},
  author       = {{Wehde, Janis}},
  journal      = {{die hochschullehre}},
  number       = {{15}},
  pages        = {{184--201}},
  publisher    = {{wbv}},
  title        = {{{Evaluation eines Lehrmoduls zur Stärkung der Demokratiebildungskompetenz von Lehramtsstudierenden}}},
  doi          = {{10.3278/HSL2457W}},
  volume       = {{11}},
  year         = {{2025}},
}

@article{58938,
  author       = {{Hälterlein, Jens}},
  journal      = {{AUSDRUCK - Das IMI-Magazin}},
  number       = {{120}},
  pages        = {{25--27}},
  title        = {{{KI außer Kontrolle}}},
  volume       = {{23}},
  year         = {{2025}},
}

@book{58940,
  editor       = {{Kehne, Miriam and Sting, Anna-Lena}},
  publisher    = {{RLS Jakobymeyer GmbH}},
  title        = {{{Gesundheitskompetenzen in Hochschulen entwickeln - Studierende für ihre berufliche Zukunft stärken}}},
  year         = {{2025}},
}

@inbook{58942,
  author       = {{Waltert, Carolin and Decker, Claudia and Kehne, Miriam and Satzinger, Nicole and Strotmeyer, Anne and Tarampouskas, Antje and Vlachos, Maximilian and Wobbe, Lena}},
  booktitle    = {{Gesundheitskompetenzen in Hochschulen entwickeln - Studierende für ihre berufliche Zukunft stärken}},
  editor       = {{Kehne, Miriam and Sting, Anna-Lena}},
  pages        = {{28--33}},
  publisher    = {{RLS Jakobymeyer GmbH}},
  title        = {{{Das Profilstudium Gute gesunde Schule unter dem Blickwinkel der beruflichen Praxis}}},
  year         = {{2025}},
}

@inbook{58943,
  author       = {{Sting, Anna-Lena and Kehne, Dennis and Wobbe, Lena and Waltert, Carolin}},
  booktitle    = {{Gesundheitskompetenzen in Hochschulen entwickeln - Studierende für ihre berufliche Zukunft stärken}},
  editor       = {{Kehne, Miriam and Sting, Anna-Lena}},
  pages        = {{42--46}},
  publisher    = {{RLS Jakobymeyer GmbH}},
  title        = {{{Leitfaden zur Entwicklung und Implementierung von Zertifikatsprogrammen zur Förderung studentischer Gesundheitskompetenzen}}},
  year         = {{2025}},
}

@article{58947,
  author       = {{Krüger, Katja and Werth, Gerda}},
  issn         = {{0732-3123}},
  journal      = {{The Journal of Mathematical Behavior}},
  publisher    = {{Elsevier BV}},
  title        = {{{Mathematics education for girls in Prussia 1890–1925}}},
  doi          = {{10.1016/j.jmathb.2025.101242}},
  volume       = {{79}},
  year         = {{2025}},
}

@inbook{58945,
  author       = {{Waltert, Carolin}},
  booktitle    = {{Gesundheitskompetenzen in Hochschulen entwickeln - Studierende für ihre berufliche Zukunft stärken}},
  editor       = {{Kehne, Miriam and Sting, Anna-Lena}},
  pages        = {{55--56}},
  publisher    = {{RLS Jakobymeyer GmbH}},
  title        = {{{Checkliste zur Entwicklung und Implementierung einer hochschuldidaktischen Weiterbildung zur Förderung der bewegten Lehre}}},
  year         = {{2025}},
}