@article{61002,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Ictal and interictal activity within the autonomic nervous system is characterized by a sympathetic overshoot in people with epilepsy. This autonomic dysfunction is assumed to be driven by alterations in the central autonomic network. In this study, exercise-induced changes of the interrelation of central and peripheral autonomic activity in patients with epilepsy was assessed. 21 patients with epilepsy (16 seizure-free), and 21 healthy matched controls performed an exhaustive bicycle ergometer test. Immediately before and after the exercise test, resting state electroencephalography measurements (Brain Products GmbH, 128-channel actiCHamp) of 5 min were carried out to investigate functional connectivity assessed by phase locking value in source space for whole brain, central autonomic network and visual network. Additionally, 1-lead ECG (Brain products GmbH) was performed to analyze parasympathetic (root mean square of successive differences (RMSSD) of the heart rate variability) and sympathetic activity (electrodermal activity (meanEDA)). MeanEDA increased (<jats:italic>p</jats:italic> &lt; 0.001) and RMSSD decreased (<jats:italic>p</jats:italic> &lt; 0.001) from pre to post-exercise in both groups. Correlation coefficients of meanEDA and central autonomic network functional connectivity differed significantly between the groups (<jats:italic>p</jats:italic> = 0.004) after exercise. Both patients with epilepsy and normal control subjects revealed the expected physiological peripheral autonomic responses to acute exhaustive exercise, but alterations of the correlation between central autonomic and peripheral sympathetic activity may indicate a different sympathetic reactivity after exercise in patients with epilepsy. The clinical relevance of this finding and its modulators (seizures, anti-seizure medication, etc.) still needs to be elucidated.</jats:p>}},
  author       = {{van den Bongard, Franziska and Gowik, Julia Kristin and Coenen, Jessica and Jakobsmeyer, Rasmus and Reinsberger, Claus}},
  issn         = {{0014-4819}},
  journal      = {{Experimental Brain Research}},
  number       = {{6}},
  pages        = {{1301--1310}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Exercise-induced central and peripheral sympathetic activity in a community-based group of epilepsy patients differ from healthy controls}}},
  doi          = {{10.1007/s00221-024-06792-0}},
  volume       = {{242}},
  year         = {{2024}},
}

@article{60999,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Sport-related concussion (SRC) is a complex brain injury. By applying graph-theoretical analysis to networks derived from neuroimaging techniques, studies have shown that despite an overall retention of small-world topology, changes in small-world properties occur after brain injury. Less is known about how exercise during athletes’ return to sport (RTS) influences these brain network properties. Therefore, in the present study dense electroencephalography (EEG) datasets were collected pre- and post-moderate aerobic exercise. Small-world properties of whole brain (WB) and the default mode network (DMN) were extracted from the EEG datasets of 21 concussed athletes and 21 healthy matched controls. More specifically, path length (LP), clustering coefficient (CP), and small-world index (SWI) in binary and weighted graphs were calculated in the alpha frequency band (7–13 Hz). Pre-exercise, SRC athletes had higher DMN-CP values compared to controls, while post-exercise SRC athletes had higher WB-LP compared to controls. Weighted WB analysis revealed a significant association between SRC and the absence of small-world topology (SWI ≤ 1) post-exercise. This explorative study provides preliminary evidence that moderate aerobic exercise during athletes’ RTS induces an altered network response. Furthermore, this altered response may be related to the clinical characteristics of the SRC athlete.</jats:p>}},
  author       = {{Coenen, Jessica and Strohm, Michael and Reinsberger, Claus}},
  issn         = {{2045-2322}},
  journal      = {{Scientific Reports}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Impact of moderate aerobic exercise on small-world topology and characteristics of brain networks after sport-related concussion: an exploratory study}}},
  doi          = {{10.1038/s41598-024-74474-6}},
  volume       = {{14}},
  year         = {{2024}},
}

@article{61009,
  author       = {{Coenen, Jessica and van den Bongard, Franziska and Delling, Anne Carina and Reinsberger, Claus}},
  issn         = {{0897-7151}},
  journal      = {{Journal of Neurotrauma}},
  number       = {{5-6}},
  pages        = {{367--378}},
  publisher    = {{Mary Ann Liebert Inc}},
  title        = {{{Differences in Network Functional Connectivity in Response to Sub-Symptomatic Exercise Between Elite Adult Athletes after Sport-Related Concussion and Healthy Matched Controls: A Pilot Study}}},
  doi          = {{10.1089/neu.2023.0629}},
  volume       = {{42}},
  year         = {{2024}},
}

@article{60994,
  author       = {{Reinsberger, Claus and Gardner, Andrew J.}},
  issn         = {{1440-2440}},
  journal      = {{Journal of Science and Medicine in Sport}},
  number       = {{4}},
  pages        = {{211--212}},
  publisher    = {{Elsevier BV}},
  title        = {{{Advancing concussion research – follow the yellow brick road}}},
  doi          = {{10.1016/j.jsams.2024.03.008}},
  volume       = {{27}},
  year         = {{2024}},
}

@article{60997,
  author       = {{Oesterschlink, Julian and Reinsberger, Claus}},
  issn         = {{2731-7145}},
  journal      = {{Die Orthopädie}},
  number       = {{6}},
  pages        = {{415--419}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Kopfverletzungen: Was der Teamarzt wissen sollte Head injuries: What the team physician needs to know}}},
  doi          = {{10.1007/s00132-024-04507-5}},
  volume       = {{53}},
  year         = {{2024}},
}

@inproceedings{57102,
  author       = {{Gräßler, Iris and Wiechel, Dominik and Rarbach, Sven}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  location     = {{Cranfield, UK}},
  pages        = {{585--5D}},
  publisher    = {{Elsevier BV}},
  title        = {{{Model-based impact analysis in dynamic System of Systems}}},
  doi          = {{10.1016/j.procir.2024.06.032}},
  volume       = {{128}},
  year         = {{2024}},
}

@article{58708,
  abstract     = {{Research about explanation processes is gaining relevance because of the increased popularity of artificial systems required to explain their function or outcome. Following an interactive approach, not only explainers, but also explainees contribute to successful interactions. However, little is known about how explainees actively guide explanation processes and how their involvement relates to learning. We explored the occurrence and type of explainees’ questions in 20 adult — adult explanation dialogues about unknown present and absent objects. Crucially, we related the question types to the explainees’ subsequent recall of the unknown object labels. We found that explainees asked different types of questions, especially about the object’s label and facts. Questions about the object’s function were asked more when objects were present. In addition, requests for labelling were linked to better recall. The results contribute to designing explainable AI that aims to provide relevant and adaptive explanations and to further experimental approaches to study explanations.}},
  author       = {{Fisher, Josephine Beryl and Rohlfing, Katharina J. and Donnellan, Ed and Grimminger, Angela and Gu, Yan and Vigliocco, Gabriella}},
  journal      = {{Interaction Studies}},
  number       = {{2}},
  pages        = {{244--255}},
  publisher    = {{John Benjamins}},
  title        = {{{ Explain with, rather than explain to: How explainees shape their own learning}}},
  doi          = {{doi.org/10.1075/is.23019.fis}},
  volume       = {{25}},
  year         = {{2024}},
}

@inproceedings{54925,
  abstract     = {{The OPEN Edirom project is developing a digital edition of incidental music for Goethe’s play Faust, representing an innovative initiative within the realm of music philology and MEI/TEI edition. Embracing the "data first" principle, OPEN Edirom prioritizes making its content openly accessible, thereby enabling diverse potential uses for researchers and performers. Our aim involves presenting the scholarly text and music edition in its entirety, incorporating its various forms of data, i.e. music, texts, source images, metadata, and annotations, all displayed with Edirom software.
The piece we edit in this project is Goethe’s renowned play Faust I, as adapted by Carl Seydelmann, along with the corresponding music composed by Peter Joseph von Lindpaintner for the Court Theatre in Stuttgart. The work premiered in 1832.
This paper delves into the concept of music edition as open data publication and delineates its advantages over analog and hybrid editions in terms of reusability and alignment with the FAIR principles. It also addresses the challenges encountered in data preparation, both specific to incidental music and in general data processing. Furthermore, we propose solutions and recommendations for similar projects based on our insights.}},
  author       = {{Frömmel, Lena and Bachmann, Tobias and Plaksin, Anna Viktoria Katrin and Münzmay, Andreas}},
  booktitle    = {{Proceedings of the 11th International Conference on Digital Libraries for Musicology}},
  publisher    = {{ACM}},
  title        = {{{Open Edirom: From hybrid music edition to open data publication}}},
  doi          = {{10.1145/3660570.3660582}},
  year         = {{2024}},
}

@inproceedings{55912,
  abstract     = {{In explanatory interactions, explainees are expected to continuously provide feedback to explainers by signaling whether they understand an ongoing explanation. The study presented in this paper is based on the hypothesis that explainees use a set of multimodal cues, including vocalizations, facial expressions, and movements of the torso, head, and hands, to do so. We test this hypothesis by building a random forest classifier based on a multimodal corpus of dyadic explanations (21 explainers and explainees), in which windows of understanding or non-understanding were identified by participants in a retrospective video recall task. Results show that sequences of understanding can indeed be differentiated from those of non-understanding, and that a diverse set of predictors covering a wide range of modalities contributes to this classification. Due to data sparsity and a high degree of individual variation, the generalizability of our results is currently limited, but they support our hypothesis of the relevance of multimodal display in explanatory interactions.}},
  author       = {{Türk, Olcay and Lazarov, Stefan Teodorov and Wang, Yu and Buschmeier, Hendrik and Grimminger, Angela and Wagner, Petra}},
  booktitle    = {{Proceedings of the 26th ACM International Conference on Multimodal Interaction}},
  location     = {{San José, Costa Rica}},
  pages        = {{449--458}},
  title        = {{{Predictability of understanding in explanatory interactions based on multimodal cues}}},
  doi          = {{10.1145/3678957.3685741}},
  year         = {{2024}},
}

@misc{60921,
  author       = {{Schmidt, Rebecca}},
  booktitle    = {{Sozialwissenschaftliche Methodenberatung}},
  title        = {{{Automatische Transkriptionssoftware - ein Erfahrungsbericht}}},
  year         = {{2024}},
}

@article{57893,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Control engineering applications usually require a model that accurately represents the dynamics of the system. In addition to classical physical modeling, powerful data‐driven approaches are gaining popularity. However, the resulting models may not be ideal for control design due to their black‐box structure, which inherently limits interpretability. Formulating the system dynamics in port‐Hamiltonian form is highly beneficial, as its valuable property of passivity enables the straightforward design of globally stable controllers while ensuring physical interpretability. In a recently published article, we presented a method for data‐driven inference of port‐Hamiltonian models for complex mechatronic systems, requiring only fundamental physical prior knowledge. The resulting models accurately represent the nonlinear dynamics of the considered systems and are physically interpretable. In this contribution, we advance our previous work by including two key elements. Firstly, we demonstrate the application of the above described data‐driven PCHD models for controller design. Preserving the port‐Hamiltonian form in the closed loop not only guarantees global stability and robustness but also ensures desired speed and damping characteristics. Since control systems based on output measurements, which are continuously measured during operation due to the feedback structure, we secondly aim to use this data. Thus, we augment the existing modeling strategy with an intelligent adaptation approach to address uncertainties and (un)predictable system changes in mechatronic systems throughout their lifecycle, such as the installation of new components, wear, or temperature fluctuations during operation. Our proposed algorithm for recursively calculated data‐driven port‐Hamiltonian models utilizes a least‐squares approach with extensions such as automatically adjusting the forgetting factor and controlling the covariance matrix trace. We demonstrate the results through model‐based application on an academic example and experimental validation on a test bench.</jats:p>}},
  author       = {{Junker, Annika and Timmermann, Julia and Trächtler, Ansgar}},
  issn         = {{1617-7061}},
  journal      = {{PAMM}},
  number       = {{1}},
  publisher    = {{Wiley}},
  title        = {{{Adaptive Data‐Driven Models in Port‐Hamiltonian Form for Control Design}}},
  doi          = {{10.1002/pamm.202400154}},
  volume       = {{25}},
  year         = {{2024}},
}

@article{59051,
  abstract     = {{Model‐based state observers require high‐quality models to deliver accurate state estimates. However, due to time or cost shortage, modeling simplifications or numerical issues, models often have severe inaccuracies that may lead to insufficient and deficient control. Instead of attempting to iteratively model these deviations, we address the challenge by the concept of joint estimation. Thus, we assume a linear combination of suitable functions to approximate the inaccuracies. The parameters of the linear combination are supposed to be time invariant and augment the model's state. Subsequently, the parameters can be identified simultaneously to the states within the observer. Referring to the principle of Occam's razor, the parameters are claimed to be sparse. Our former work shows that estimating states and model inaccuracies simultaneously by a sparsity promoting unscented Kalman filter yields not only high accuracy but also provides interpretable representations of underlying inaccuracies. Based on this work, our contribution is twofold: First, we apply our approach finally on a real‐world test bench, namely a golf robot. Within the experimental setting, we investigate closed loop behavior as well as how suitable functions need to be chosen to approximate the inaccuracies in a physically interpretable way. Results do not only provide high state estimation accuracy but also meaningful insights into the system's inaccuracies. Second, we discuss and establish a method to automatically adapt and update the model based on collected data of the linear combination during operation. Examining past parameter estimates by principal component analysis, a moving window is utilized to extract the most dominant functions. These are kept characterizing the model inaccuracies, while nondominant functions are automatically neglected and refilled with novel function candidates. After analysis and rebuilding, this updated function set is subsequently fed back into the joint estimation loop and deployed for further estimation. Hence, we give a holistic paradigm of how to analyze and combat model inaccuracies while ensuring high state estimation accuracy. Within this setting, we once more investigate closed loop behavior and yield promising results. In conclusion, we show that the proposed observer provides a helpful tool to guarantee high estimation accuracy for models with severe inaccuracies or for situations with occurring deviations during operation, for example, due to mechanical wear or temperature changes.</jats:p>}},
  author       = {{Götte, Ricarda-Samantha and Timmermann, Julia}},
  issn         = {{1617-7061}},
  journal      = {{PAMM}},
  number       = {{1}},
  publisher    = {{Wiley}},
  title        = {{{Online Learning With Joint State and Model Estimation}}},
  doi          = {{10.1002/pamm.202400080}},
  volume       = {{25}},
  year         = {{2024}},
}

@misc{61115,
  author       = {{Peckhaus, Volker}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Fotografie: „Aristoteles am Apothekenerker des Rathauses in Lemgo“, in: Volker Peckhaus und Sebastian Luft: Philosophische Übergänge. Die Abschiedsvorlesung von Volker Peckhaus und die Antrittsvorlesung von Sebastian Luft im Oktober 2023, hg. v. Vanessa Albus, Universität Paderborn: Paderborn (PUR #163), 39}}},
  year         = {{2024}},
}

@article{54459,
  author       = {{Knorr, Lukas and Schlosser, Florian and Horstmann, Nils and Divkovic, Denis and Meschede, Henning}},
  issn         = {{0306-2619}},
  journal      = {{Applied Energy}},
  publisher    = {{Elsevier BV}},
  title        = {{{Flexible operation and integration of high-temperature heat pumps using large temperature glides}}},
  doi          = {{10.1016/j.apenergy.2024.123417}},
  volume       = {{368}},
  year         = {{2024}},
}

@misc{61114,
  author       = {{Peckhaus, Volker}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Fotografie: „Ratio an der Lateinschule in Alfeld“, in: Volker Peckhaus und Sebastian Luft: Philosophische Übergänge. Die Abschiedsvorlesung von Volker Peckhaus und die Antrittsvorlesung von Sebastian Luft im Oktober 2023, hg. v. Vanessa Albus, Universität Paderborn: Paderborn (PUR #163), 34–35}}},
  year         = {{2024}},
}

@misc{17752,
  author       = {{Peckhaus, Volker}},
  booktitle    = {{Neue Deutsche Biographie, Bd. 28: Wettstein - Zwoch}},
  pages        = {{659--660}},
  publisher    = {{Duncker & Humblot}},
  title        = {{{Zermelo }}},
  year         = {{2024}},
}

@misc{58263,
  author       = {{Peckhaus, Volker}},
  booktitle    = {{zbMATH Open, Zbl. 07782971}},
  title        = {{{Schmidt, Gunther, Mathematik als Wissenschaft in der Gesellschaft. Historische Äußerungen und aktuelle Anregungen, Springer Spektrum: Berlin 2023, xiii, 263 S. }}},
  year         = {{2024}},
}

@inproceedings{58552,
  author       = {{Berndt, Axel and Vollmer, F. and Münzmay, Andreas}},
  booktitle    = {{{Diskografentag: International Conference on Recorded Music}}},
  title        = {{{Multi-Modal Data Networks in Music: Thoughts on a Digital Performance Edition and its Potential for Ethnomusicology}}},
  year         = {{2024}},
}

@inproceedings{55637,
  author       = {{Kostan, Anastassija and Olschar, Sara and Simko, Lucy and Acar, Yasemin}},
  booktitle    = {{33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August 14-16, 2024}},
  editor       = {{Balzarotti, Davide and Xu, Wenyuan}},
  publisher    = {{USENIX Association}},
  title        = {{{Exploring digital security and privacy in relative poverty in Germany through qualitative interviews}}},
  year         = {{2024}},
}

@inbook{59581,
  author       = {{Häsel-Weide, Uta and Nührenbörger, M.}},
  booktitle    = {{Beiträge zum Mathematikuntericht 2024. 57. Jahrestagung der Gesellschaft für Didaktik der Mathematik}},
  editor       = {{Ebers, P. and Rösken, F. and Barzel, B. and Büchter, A. and Schacht, F. and Scherer, P.}},
  pages        = {{207--210}},
  title        = {{{ Praktiken der Förderung im inklusiven Mathematikunterricht}}},
  doi          = {{https://doi.ohttps://doi.org/10.37626/GA9783959872782.0 rg/10.37626/GA9783959872782.0}},
  year         = {{2024}},
}