@article{54927,
  author       = {{Stutz, Bianca and Goletzke, Janina and Krueger, Bettina and Jankovic, Nicole and Alexy, Ute and Herder, Christian and Jakobsmeyer, Rasmus and Reinsberger, Claus and Buyken, Anette E.}},
  journal      = {{Appetite}},
  pages        = {{107569}},
  publisher    = {{Elsevier}},
  title        = {{{Association between glucose dips and the feeling of hunger in a dietary intervention study among students with early and late chronotype-secondary analysis of a randomized cross-over nutrition trial}}},
  doi          = {{10.1016/j.appet.2024.107569}},
  volume       = {{200}},
  year         = {{2024}},
}

@inproceedings{54807,
  abstract     = {{This paper considers the shape formation problem within the 3D hybrid model, where a single agent with a strictly limited viewing range and the computational capacity of a deterministic finite automaton manipulates passive tiles through pick-up, movement, and placement actions. The goal is to reconfigure a set of tiles into a specific shape termed an icicle. The icicle, identified as a dense, hole-free structure, is strategically chosen to function as an intermediate shape for more intricate shape formation tasks. It is designed for easy exploration by a finite state agent, enabling the identification of tiles that can be lifted without breaking connectivity. Compared to the line shape, the icicle presents distinct advantages, including a reduced diameter and the presence of multiple removable tiles. We propose an algorithm that transforms an arbitrary initially connected tile structure into an icicle in 𝒪(n³) steps, matching the runtime of the line formation algorithm from prior work. Our theoretical contribution is accompanied by an extensive experimental analysis, indicating that our algorithm decreases the diameter of tile structures on average.}},
  author       = {{Hinnenthal, Kristian and Liedtke, David Jan and Scheideler, Christian}},
  booktitle    = {{3rd Symposium on Algorithmic Foundations of Dynamic Networks (SAND 2024)}},
  editor       = {{Casteigts, Arnaud and Kuhn, Fabian}},
  isbn         = {{978-3-95977-315-7}},
  issn         = {{1868-8969}},
  keywords     = {{Programmable Matter, Shape Formation, 3D Model, Finite Automaton}},
  pages        = {{15:1–15:20}},
  publisher    = {{Schloss Dagstuhl – Leibniz-Zentrum für Informatik}},
  title        = {{{Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures}}},
  doi          = {{10.4230/LIPIcs.SAND.2024.15}},
  volume       = {{292}},
  year         = {{2024}},
}

@inbook{54802,
  abstract     = {{Motivated by the prospect of nano-robots that assist human physiological functions at the nanoscale, we investigate the coating problem in the three-dimensional model for hybrid programmable matter. In this model, a single agent with strictly limited viewing range and the computational capability of a deterministic finite automaton can act on passive tiles by picking up a tile, moving, and placing it at some spot. The goal of the coating problem is to fill each node of some surface graph of size n with a tile. We first solve the problem on a restricted class of graphs with a single tile type, and then use constantly many tile types to encode this graph in certain surface graphs capturing the surface of 3D objects. Our algorithm requires O(n^2) steps, which is worst-case optimal compared to an agent with global knowledge and no memory restrictions.}},
  author       = {{Kostitsyna, Irina and Liedtke, David Jan and Scheideler, Christian}},
  booktitle    = {{Structural Information and Communication Complexity}},
  editor       = {{Emek, Yuval}},
  isbn         = {{9783031606021}},
  issn         = {{0302-9743}},
  keywords     = {{Programmable Matter, Coating, Finite Automaton, 3D}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Universal Coating by 3D Hybrid Programmable Matter}}},
  doi          = {{10.1007/978-3-031-60603-8_21}},
  year         = {{2024}},
}

@inproceedings{55392,
  abstract     = {{In dieser Arbeit werden Untersuchungen zur sauerstoffabhängigen Photolumineszenz von Zink-Zinn-Oxid-Partikeln präsentiert, welche perspektivisch für die optische Sauerstoffdetektion eingesetzt werden sollen. Zink-Zinn-Oxid zeigt eine sauerstoffabhängige Photolumineszenz im sichtbaren Spektralbereich und wird hier als eine photostabile Alternative zu den kommerziell verfügbaren metallorganischen Verbindungen vorgestellt. Der Fokus liegt dabei auf dem Einfluss der Temperatur auf die Sauerstoffsensitivität der Photolumineszenz. Wir zeigen, dass bereits leichte Temperaturerhöhungen zu einer signifikanten Verbesserung der Sauerstoffsensitivität der Photolumineszenz führen und gleichzeitig die Signalqualität erhöhen.}},
  author       = {{Kothe, Linda and Ester, Stephan and Poeplau, Michael and Wengenroth, Marc and Tiemann, Michael}},
  booktitle    = {{Proceedings 22. GMA/ITG-Fachtagung Sensoren und Messsysteme 2024}},
  isbn         = {{978-3-910600-01-0}},
  pages        = {{66 -- 71}},
  title        = {{{Stabilisierung von O2-sensitiven Photolumineszenzsignalen durch Temperaturvariation}}},
  doi          = {{10.5162/sensoren2024/A3.1}},
  year         = {{2024}},
}

@inproceedings{56207,
  abstract     = {{We present a data acquisition and visualization pipeline that allows experts to monitor additive manufacturing processes, in particular laser metal deposition with wire (LMD-w) processes, in immersive virtual reality. Our virtual environment consists of a digital shadow of the LMD-w production site enriched with additional measurement data shown on both static as well as handheld virtual displays. Users can explore the production site by enhanced teleportation capabilities that enable them to change their scale as well as their elevation above the ground plane. In an exploratory user study with 22 participants, we demonstrate that our system is generally suitable for the supervision of LMD-w processes while generating low task load and cybersickness. Therefore, it serves as a first promising step towards the successful application of virtual reality technology in the comparatively young field of additive manufacturing.}},
  author       = {{Rupp, Daniel and Kuhlen, Torsten W. and Rarbach, Sven and Wiechel, Dominik and Pottebaum, Jens and Weidemann, Tizia and Tran, Duc Thanh and Day, Robin and Zielinski, Jonas and König, Valentina and Bremer, Jan and Kosche, Thomas and Grimm, Andreas and Bergs, Thomas and Gräßler, Iris and Weissker, Tim}},
  booktitle    = {{Proceedings of the GI VR/AR Workshop 2024}},
  location     = {{Hamburg}},
  publisher    = {{Gesellschaft für Informatik e.V.}},
  title        = {{{Virtual Reality as a Tool for Monitoring Additive Manufacturing Processes via Digital Shadows}}},
  doi          = {{10.18420/vrar2024_0006}},
  year         = {{2024}},
}

@inproceedings{56888,
  abstract     = {{Elterliche Unterstützung bei der Internetnutzung geriet durch die Covid-19-Pandemie stärker in den Fokus, auch wenn diese bereits vor der Pandemie aufgrund der nur langsam fortschreitenden Digitalisierung von Schulen elementar war. Neben der Relevanz der Quantität elterlicher Unterstützung ist in Untersuchungen zur Rolle der Familie für das Lernen mit digitalen Medien auch die Qualität von zentraler Bedeutung (Bonanati et al., 2022). Dabei erwies sich allgemein in der Forschung zur elterlichen Hausaufgabenunterstützung eine autonomieunterstützende, strukturgebende und zugleich wertschätzende Instruktion als besonders gewinnbringend (Dumont et al., 2014). Zudem ist bekannt, dass die elterliche Unterstützung unter anderem auf Grund der steigenden Komplexität der Unterrichtsinhalte, der steigenden Selbstständigkeit sowie dem zunehmenden Autonomiebedürfnis der Lernenden im Schulverlauf abnimmt (Luplow & Schneider, 2018). Wie sich die elterliche Unterstützung bei der informationsorientierten Internetnutzung von Kindern über die Zeit und mit Beginn der Covid-19-Pandemie verändert, ist relevant für den Förderkontext, bislang aber nur wenig betrachtet worden und deshalb Ziel der vorliegenden Untersuchung.
Grundlage der vorliegenden Untersuchung sind längsschnittliche Daten von 395 Schüler*innen sowie 191 Eltern, die im Jahr 2019/2020 in fünften Klassen (~10-11 Jahre) und im Jahr 2021/22 in siebten Klassen (~12-13 Jahre) erhoben wurden. 
Die Ergebnisse zeigten eine Abnahme der Quantität elterlicher Instruktion von der fünften zur siebten Jahrgansstufe sowohl aus Eltern- als auch aus Kinderperspektive. Hinsichtlich der Qualität elterlicher Unterstützung berichteten Eltern in der 7. Klassenstufe von weniger autonomieunterstützender Instruktion, während Kinder der 7. Klassenstufe von einer weniger autonomieunterstützenden und wertschätzenden Instruktion berichteten. Weitere Ergebnisse werden in dem Vortrag diskutiert.}},
  author       = {{Gruchel, Nicole and Kurock, Ricarda and Buhl, Heike M.}},
  location     = {{Wien}},
  title        = {{{Digitale häusliche Lernumwelt – Veränderungen der elterlichen Unterstützung bei der informationsorientierten Internetnutzung von Fünft- und Siebtklässler*innen }}},
  year         = {{2024}},
}

@misc{58325,
  author       = {{Autsch, Sabiene}},
  publisher    = {{Edition Imorde }},
  title        = {{{Micro Archives. Künstlerische Arbeiten 2019-2024. }}},
  year         = {{2024}},
}

@unpublished{58441,
  abstract     = {{This study presents a numerical approach using a 3D finite element model to quantify the remaining clamp load of a plastic nut joint after a specific time. The viscoelastic relaxation of a thermoplastic nut, which is predominantly screwed on a welding stud, is described by a material card using Prony Series. Prony Series are derived from experimental Dynamical Mechanical Analysis with different moisture and fiber contents of the thermoplastic. Since plastic nuts usually do not have preformed threads, the increased temperatures and resulting stresses from the thread-forming process are considered in the simulation. Firstly, the FE model is verified by substrate stress relaxation tests. Subsequently, experimental clamp load measurements with miniature compression load cells verify the clamp load prediction. Finally, the developed model is used to analyze the clamp load distribution within the threads}},
  author       = {{Wippermann, Jan and Meschut, Gerson}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Numerical modeling of clamp load relaxation of plastic nuts under varying moisture and fiber content}}},
  year         = {{2024}},
}

@article{58491,
  abstract     = {{<jats:p>Similar to bulk metal forming, clinch joining is characterised by large plastic deformations and a variety of different 3D stress states, including severe compression. However, inherent to plastic forming is the nucleation and growth of defects, whose detrimental effects on the material behaviour can be described by continuum damage models and eventually lead to material failure. As the damage evolution strongly depends on the stress state, a stress-state-dependent model is utilised to correctly track the accumulation. To formulate and parameterise this model, besides classical experiments, so-called modified punch tests are also integrated herein to enhance the calibration of the failure model by capturing a larger range of stress states and metal-forming-specific loading conditions. Moreover, when highly ductile materials are considered, such as the dual-phase steel HCT590X and the aluminium alloy EN AW-6014 T4 investigated here, strong necking and localisation might occur prior to fracture. This can alter the stress state and affect the actual strain at failure. This influence is captured by coupling plasticity and damage to incorporate the damage-induced softening effect. Its relative importance is shown by conducting inverse parameter identifications to determine damage and failure parameters for both mentioned ductile metals based on up to 12 different experiments.</jats:p>}},
  author       = {{Friedlein, Johannes and Böhnke, Max and Schlichter, Malte and Bobbert, Mathias and Meschut, Gerson and Mergheim, Julia and Steinmann, Paul}},
  issn         = {{2504-4494}},
  journal      = {{Journal of Manufacturing and Materials Processing}},
  keywords     = {{ductile damage, stress-state dependency, failure, parameter identification, punch test, clinching}},
  number       = {{4}},
  publisher    = {{MDPI AG}},
  title        = {{{Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining}}},
  doi          = {{10.3390/jmmp8040157}},
  volume       = {{8}},
  year         = {{2024}},
}

@article{59585,
  abstract     = {{<jats:p>Similar to bulk metal forming, clinch joining is characterised by large plastic deformations and a variety of different 3D stress states, including severe compression. However, inherent to plastic forming is the nucleation and growth of defects, whose detrimental effects on the material behaviour can be described by continuum damage models and eventually lead to material failure. As the damage evolution strongly depends on the stress state, a stress-state-dependent model is utilised to correctly track the accumulation. To formulate and parameterise this model, besides classical experiments, so-called modified punch tests are also integrated herein to enhance the calibration of the failure model by capturing a larger range of stress states and metal-forming-specific loading conditions. Moreover, when highly ductile materials are considered, such as the dual-phase steel HCT590X and the aluminium alloy EN AW-6014 T4 investigated here, strong necking and localisation might occur prior to fracture. This can alter the stress state and affect the actual strain at failure. This influence is captured by coupling plasticity and damage to incorporate the damage-induced softening effect. Its relative importance is shown by conducting inverse parameter identifications to determine damage and failure parameters for both mentioned ductile metals based on up to 12 different experiments.</jats:p>}},
  author       = {{Friedlein, Johannes and Böhnke, Max and Schlichter, Malte Christian and Bobbert, Mathias and Meschut, Gerson and Mergheim, Julia and Steinmann, Paul}},
  issn         = {{2504-4494}},
  journal      = {{Journal of Manufacturing and Materials Processing}},
  number       = {{4}},
  publisher    = {{MDPI AG}},
  title        = {{{Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining}}},
  doi          = {{10.3390/jmmp8040157}},
  volume       = {{8}},
  year         = {{2024}},
}

@article{60047,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
                <jats:title>Purpose</jats:title>
                <jats:p>Cardiopulmonary exercise testing (CPET) is considered the gold standard for assessing cardiorespiratory fitness. To ensure consistent performance of each test, it is necessary to adapt the power increase of the test protocol to the physical characteristics of each individual. This study aimed to use machine learning models to determine individualized ramp protocols based on non-exercise features. We hypothesized that machine learning models will predict peak oxygen uptake (<jats:inline-formula><jats:alternatives><jats:tex-math>$$\dot{V}$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML">
                    <mml:mover>
                      <mml:mi>V</mml:mi>
                      <mml:mo>˙</mml:mo>
                    </mml:mover>
                  </mml:math></jats:alternatives></jats:inline-formula>O<jats:sub>2peak</jats:sub>) and peak power output (PPO) more accurately than conventional multiple linear regression (MLR).</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Methods</jats:title>
                <jats:p>The cross-sectional study was conducted with 274 (♀168, ♂106) participants who performed CPET on a cycle ergometer. Machine learning models and multiple linear regression were used to predict <jats:inline-formula><jats:alternatives><jats:tex-math>$$\dot{V}$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML">
                    <mml:mover>
                      <mml:mi>V</mml:mi>
                      <mml:mo>˙</mml:mo>
                    </mml:mover>
                  </mml:math></jats:alternatives></jats:inline-formula>O<jats:sub>2peak</jats:sub> and PPO using non-exercise features. The accuracy of the models was compared using criteria such as root mean square error (RMSE). Shapley additive explanation (SHAP) was applied to determine the feature importance.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Results</jats:title>
                <jats:p>The most accurate machine learning model was the random forest (RMSE: 6.52 ml/kg/min [95% CI 5.21–8.17]) for <jats:inline-formula><jats:alternatives><jats:tex-math>$$\dot{V}$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML">
                    <mml:mover>
                      <mml:mi>V</mml:mi>
                      <mml:mo>˙</mml:mo>
                    </mml:mover>
                  </mml:math></jats:alternatives></jats:inline-formula>O<jats:sub>2peak</jats:sub> prediction and the gradient boosting regression (RMSE: 43watts [95% CI 35–52]) for PPO prediction. Compared to the MLR, the machine learning models reduced the RMSE by up to 28% and 22% for prediction of <jats:inline-formula><jats:alternatives><jats:tex-math>$$\dot{V}$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML">
                    <mml:mover>
                      <mml:mi>V</mml:mi>
                      <mml:mo>˙</mml:mo>
                    </mml:mover>
                  </mml:math></jats:alternatives></jats:inline-formula>O<jats:sub>2peak</jats:sub> and PPO, respectively. Furthermore, SHAP ranked body composition data such as skeletal muscle mass and extracellular water as the most impactful features.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Conclusion</jats:title>
                <jats:p>Machine learning models predict <jats:inline-formula><jats:alternatives><jats:tex-math>$$\dot{V}$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML">
                    <mml:mover>
                      <mml:mi>V</mml:mi>
                      <mml:mo>˙</mml:mo>
                    </mml:mover>
                  </mml:math></jats:alternatives></jats:inline-formula>O<jats:sub>2peak</jats:sub> and PPO more accurately than MLR and can be used to individualize CPET protocols. Features that provide information about the participant's body composition contribute most to the improvement of these predictions.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Trial registration number</jats:title>
                <jats:p>DRKS00031401 (6 March 2023, retrospectively registered).</jats:p>
              </jats:sec>}},
  author       = {{Wenzel, Charlotte and Liebig, Thomas and Swoboda, Adrian and Smolareck, Rika and Schlagheck, Marit Lea and Walzik, David and Groll, Andreas and Goulding, Richie P. and Zimmer, Philipp}},
  issn         = {{1439-6319}},
  journal      = {{European Journal of Applied Physiology}},
  number       = {{11}},
  pages        = {{3421--3431}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features}}},
  doi          = {{10.1007/s00421-024-05543-x}},
  volume       = {{124}},
  year         = {{2024}},
}

@article{60176,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec><jats:title>Aim</jats:title><jats:p>To investigate the associations of the Dietary Approaches to Stop Hypertension (DASH) score with subcutaneous (SAT) and visceral (VAT) adipose tissue volume and hepatic lipid content (HLC) in people with diabetes and to examine whether changes in the DASH diet were associated with changes in these outcomes.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>In total, 335 participants with recent‐onset type 1 diabetes (T1D) and type 2 diabetes (T2D) from the German Diabetes Study were included in the cross‐sectional analysis, and 111 participants in the analysis of changes during the 5‐year follow‐up. Associations between the DASH score and VAT, SAT and HLC and their changes were investigated using multivariable linear regression models by diabetes type. The proportion mediated by changes in potential mediators was determined using mediation analysis.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>A higher baseline DASH score was associated with lower HLC, especially in people with T2D (per 5 points: −1.5% [−2.7%; −0.3%]). Over 5 years, a 5‐point increase in the DASH score was associated with decreased VAT in people with T2D (−514 [−800; −228] cm<jats:sup>3</jats:sup>). Similar, but imprecise, associations were observed for VAT changes in people with T1D (−403 [−861; 55] cm<jats:sup>3</jats:sup>) and for HLC in people with T2D (−1.3% [−2.8%; 0.3%]). Body mass index and waist circumference changes explained 8%‐48% of the associations between DASH and VAT changes in both groups. In people with T2D, adipose tissue insulin resistance index (Adipo‐IR) changes explained 47% of the association between DASH and HLC changes.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>A shift to a DASH‐like diet was associated with favourable VAT and HLC changes, which were partly explained by changes in anthropometric measures and Adipo‐IR.</jats:p></jats:sec>}},
  author       = {{Schaefer, Edyta and Lang, Alexander and Kupriyanova, Yuliya and Bódis, Kálmán B. and Weber, Katharina S. and Buyken, Anette and Barbaresko, Janett and Kössler, Theresa and Kahl, Sabine and Zaharia, Oana‐Patricia and Szendroedi, Julia and Herder, Christian and Schrauwen‐Hinderling, Vera B. and Wagner, Robert and Kuss, Oliver and Roden, Michael and Schlesinger, Sabrina}},
  issn         = {{1462-8902}},
  journal      = {{Diabetes, Obesity and Metabolism}},
  number       = {{10}},
  pages        = {{4281--4292}},
  publisher    = {{Wiley}},
  title        = {{{Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet is associated with lower visceral and hepatic lipid content in recent‐onset type 1 diabetes and type 2 diabetes}}},
  doi          = {{10.1111/dom.15772}},
  volume       = {{26}},
  year         = {{2024}},
}

@inproceedings{64104,
  author       = {{Scheideler, Christian and Hinnenthal , Kristian  and Liedtke, David Jan}},
  title        = {{{Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures. SAND 2024: 15:1-15:20}}},
  year         = {{2024}},
}

@inproceedings{64106,
  author       = {{Scheideler, Christian and Kostitsyna, Irina  and Liedtke, David Jan}},
  title        = {{{Universal Coating by 3D Hybrid Programmable Matter.}}},
  year         = {{2024}},
}

@inproceedings{57173,
  abstract     = {{Manufacturing processes benefit from property control enabling reproducibility, application oriented outcomes, and efficient part production. In reverse flow forming, state of the art practices focus primarily on geometry control, neglecting property control. Given the intricacies of the process involving the interaction of tool and machine behavior, process parameters, properties of semi finished products and temperatures, incorporating process control becomes an imperative for producing components with predefined properties. The property controlled within this reverse flow forming process is the local α’ martensite content. Therefore, process strategies to actively influence the α’ martensite content must be implemented. In this study seamless AISI 304L steel tubes are used, where α’ martensite formation is strain  and/or temperature induced through phase transformation within the process. This paper presents innovative process strategies, methods, and specially developed mechanical and thermal actuator systems to locally increase or suppress the α’ martensite content. The use and implementation of these approaches and tools allows the creation of unique optically invisible microstructure profiles containing 3D gradings, implying a radial grading of α’ martensite. The locally implemented α’ martensite, forming these 3D gradings, offers potential applications for functional or sensory purposes. This paper extends beyond theoretical concepts, providing tangible component outcomes.}},
  author       = {{Arian, Bahman and Homberg, Werner and Kersting, Lukas and Trächtler, Ansgar and Rozo Vasquez, Julian and Walther, Frank}},
  booktitle    = {{Materials Research Proceedings}},
  issn         = {{2474-395X}},
  publisher    = {{Materials Research Forum LLC}},
  title        = {{{α’-martensite grading techniques in reverse flow forming of AISI 304L}}},
  doi          = {{10.21741/9781644903254-76}},
  volume       = {{44}},
  year         = {{2024}},
}

@article{57429,
  author       = {{Krueger, Bettina and Stutz, Bianca and Jakobsmeyer, Rasmus and Reinsberger, Claus and Buyken, Anette E.}},
  issn         = {{0742-0528}},
  journal      = {{Chronobiology International}},
  pages        = {{1--10}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Relevance of high glycaemic index breakfast for heart rate variability among collegiate students with early and late chronotypes}}},
  doi          = {{10.1080/07420528.2024.2428203}},
  year         = {{2024}},
}

@inproceedings{54356,
  abstract     = {{Although there are numerous design and control methodologies for the LLC resonant converter,
they often do not consider decentralized control strategies to operate them as isolated DC-DC converters within a
cascaded H-bridge. The total output power of all LLC converters must be constant to supply a load such as a wa-
ter electrolyzer. However, each individual LLC converter can vary its output power as long as the total output
power remains constant. This opens new possibilities in increasing the system efficiency and robustness. Usually,
the DC-link voltage of each module capacitor shows a 2nd harmonic voltage ripple. However, the total stored energy
in all DC-link capacitors is constant within a grid period for a balanced three-phase system. By controlling each
LLC converter’s output power locally to be proportional to the energy stored in its DC-link capacitor, modules with
a lower instantaneous DC-link voltage transfer less power to the load than modules with a higher DC-link voltage.
As a result, a higher efficiency, voltage gain and lower peak resonant capacitor voltage can be achieved with the
same components. The 22.2kW experimental prototype of the LLC converter reaches an efficiency of over 97% at
resonance which is similar to the precalculated value.}},
  author       = {{Unruh, Roland and Böcker, Joachim and Schafmeister, Frank}},
  booktitle    = {{ECCE Europe 2024; IEEE Energy Conversion Congress & Exposition Europe}},
  isbn         = {{979-8-3503-6444-6}},
  keywords     = {{Cascaded H-Bridge, Converter Losses, Decentralized Control, Full-Bridge Converter, LLC Resonant Converter}},
  location     = {{Darmstadt, Germany}},
  publisher    = {{IEEE}},
  title        = {{{Experimentally Verified 22 kW, 40 kHz LLC Resonant Converter Design with new Control for a 1 MW Cascaded H-Bridge Converter}}},
  doi          = {{https://doi.org/10.1109/ECCEEurope62508.2024.10751954}},
  year         = {{2024}},
}

@misc{57648,
  abstract     = {{Das Themenheft präsentiert forschende und strategische Perspektiven auf eine postdigitale Hochschullehre. Die COVID-19-Pandemie führte zu einer grundlegenden Umgestaltung der Hochschullehre und wirkte als Katalysator für die Gestaltung digital unterstützender Innovationen in der Hochschullehre. Unter dem Schlagwort postdigiale Hochschullehre beschäftigten sich die vorliegenden Beiträge der dghd-Tagung 2022 mit diesem veränderten Lehren und Lernen.}},
  booktitle    = {{die hochschullehre}},
  editor       = {{Vöing, Nerea}},
  location     = {{Paderborn}},
  title        = {{{Transformationen. Forschende und strategische Perspektiven auf eine postdigitale Hochschullehre}}},
  doi          = {{10.3278/HSLT2402W}},
  volume       = {{10}},
  year         = {{2024}},
}

@inproceedings{58648,
  author       = {{Unruh, Roland and Böcker, Joachim  and Schafmeister, Frank}},
  booktitle    = {{Proceedings of the Energy Conversion Congress & Expo (ECCE Europe)}},
  location     = {{Darmstadt}},
  publisher    = {{IEEE}},
  title        = {{{Experimentally Verified 22 kW, 40 kHz LLC Resonant Converter Design with new Control for a 1 MW Cascaded H-Bridge Converter}}},
  doi          = {{10.1109/ECCEEurope62508.2024.10751954}},
  year         = {{2024}},
}

@article{58695,
  abstract     = {{<jats:title>Abstract</jats:title>
          <jats:p>Benjaminse, A, Nijmeijer, EM, Gokeler, A, Broekhaar, DC, and Cortes, N. Motivation unraveled: giving choice to football players to improve anterior cruciate ligament injury prevention. <jats:italic toggle="yes">J Strength Cond Res</jats:italic> XX(X): 000–000, 2024—Providing athletes some control over a training session facilitates motor skill acquisition. This is a promising concept to use in anterior cruciate ligament (ACL) injury prevention, as the key for risk reduction is to improve quality of movement. The goal of this study was to better understand why improved motor learning occurred when football players had the opportunity to choose when to receive feedback when practicing sidestep cutting (SSC) movements. Healthy male recreational football players (<jats:italic toggle="yes">n</jats:italic> = 22, 22.9 ± 1.7 years, 185.5 ± 7.2 cm, 79.3 ± 9.2 kg) were included and assigned to the self-control (SC) or the yoked (YK) group. The players performed anticipated and unanticipated SSC. They received video instructions and were instructed to “copy the movement of the model to the best of their ability.” During the training blocks, the SC group could ask for feedback, whereas the YK group could not. Cutting movement assessment scores (CMAS) were measured to test quality of movement and the Intrinsic Motivation Inventory was administered to measure constructs of motivation. In the anticipated condition, SC group showed better scores in immediate post and the retention test compared with pretest (<jats:italic toggle="yes">p</jats:italic> &lt; 0.001), whereas the YK group showed worse scores in the retention test compared with immediate posttest (<jats:italic toggle="yes">p</jats:italic> = 0.001). Perceived competence (<jats:italic toggle="yes">p</jats:italic> = 0.017) and self-efficacy (<jats:italic toggle="yes">p</jats:italic> = 0.032) were consistent factors that correlated with improved CMAS in the SC group. This has given us innovative insights into underlying mechanisms optimizing the quality of movement, necessary to improve current ACL injury prevention approaches.</jats:p>}},
  author       = {{Benjaminse, Anne and Nijmeijer, Eline M. and Gokeler, Alli and Broekhaar, Dara C. and Cortes, Nelson}},
  issn         = {{1064-8011}},
  journal      = {{Journal of Strength &amp; Conditioning Research}},
  publisher    = {{Ovid Technologies (Wolters Kluwer Health)}},
  title        = {{{Motivation Unraveled: Giving Choice to Football Players to Improve Anterior Cruciate Ligament Injury Prevention}}},
  doi          = {{10.1519/jsc.0000000000004912}},
  year         = {{2024}},
}

