@article{42714, abstract = {{Physical self-concept (PSC) and motor competencies are important factors in view of the development of a physically active lifestyle. There are research gaps regarding longitudinal studies of these relationships. This article presents findings of a longitudinal study (n = 200; 58% girls, M = 8.84 ± 0.63 years) at three primary schools. The aim of this study was to analyze the relationship between actual motor competencies (AMC) and perceived motor competencies (PMC) and PSC. Therefore, manifest path models in cross-lagged design were performed. Results show that correlations between PMC and AMC increased over time and were stronger in object control than in locomotor. Effects of AMC on PSC were more strongly mediated by PMC in object control than in locomotor. To promote physical activity, developing strategies should be aimed at the acquisition of AMC, particularly in object control, and PMC, especially in locomotor, during childhood.}}, author = {{Strotmeyer, Anne and Herrmann, Christian and Kehne, Miriam}}, issn = {{1469-0292}}, journal = {{Psychology of Sport and Exercise}}, keywords = {{Applied Psychology}}, publisher = {{Elsevier BV}}, title = {{{A longitudinal analysis of reciprocal relationships between actual and perceived motor competencies and physical self-concept in primary-school age children}}}, doi = {{10.1016/j.psychsport.2022.102269}}, volume = {{63}}, year = {{2022}}, } @inbook{47060, author = {{Weigelt, Matthias and Güldenpenning, Iris}}, booktitle = {{Kognition und Motorik: Sportpsychologische Grundlagen und Anwendungen im Sport}}, editor = {{Klatt, S. and Strauß, B.}}, pages = {{118--133}}, publisher = {{Hogrefe Verlag GmbH & Company KG}}, title = {{{Kognitive Grundlagen von Täuschungshandlungen im Sport}}}, year = {{2022}}, } @inproceedings{30371, abstract = {{To achieve optimum bond results at ultrasonic bonding thick copper wire on sensitive components is quite challenging. Bearing in mind that high normal force and ultrasonic power are needed for bond quality but as well increase stress and finally failure risk of the substrate, methods should be found to achieve high bond quality even at lower bond parameters. Therefore, bond experiments with different bond tool grove geometries have been conducted for copper and aluminum wire on direct copper bonded (DCB) substrates to investigate the impact of geometric parameters on bond formation and bond quality. The wire material depending impact of geometry changes on the bond formation and deformation was quantified. Additionally, a bonding parameter design of experiments (DOE) has been conducted for the reference and the most promising groove geometry. Higher shear values were achieved at reduced vertical tool displacement for most bonding parameter combinations, compared to the reference tool. This behavior allows for reducing ultrasonic power to obtain equal shear values; consequently, mechanical stresses in the interface decrease. This could potentially reduce the risk of chip damage and thus yield loss.}}, author = {{Hagedorn, Oliver Ernst Caspar and Broll, Marian and Kirsch, Olaf and Hemsel, Tobias and Sextro, Walter}}, booktitle = {{CIPS 2022 - 12th International Conference on Integrated Power Electronics Systems}}, isbn = {{ISBN 978-3-8007-5757-2 }}, location = {{Berlin}}, pages = {{138--143}}, publisher = {{VDE VERLAG GMBH}}, title = {{{Experimental Investigation of the Influence of different Bond Tool Grooves on the Bond Quality for Ultrasonic Thick Wire Bonding}}}, year = {{2022}}, } @inproceedings{34104, abstract = {{ue to the constantly growing energy demand of power electronics and the need to reduce the size of electronic components like power modules for e-mobility, new challenges arise for ultrasonic wire bonding: the electrical connection must endure higher thermal and mechanical stress while the connecting partners become more sensitive or require more energy to get bonded. Past investigations have shown already that multi-dimensional ultrasonic bonding and welding yield the same or even better bond quality while reducing the load on the components. This contribution is intended to show whether multidi-mensional thick wire bonding is a promising concept to over-come the new challenges. The focus is on experimental investi-gations of different bond tool trajectories in ultrasonic wire bonding of aluminum and copper wire on DCB's and chips. The bond quality is analyzed by shear tests, microsections and, in the case of aluminum bonding, by a new machine learning method for an objective automated evaluation of the sheared area.}}, author = {{Scheidemann, Claus and Kirsch, Olaf and Hemsel, Tobias and Sextro, Walter}}, booktitle = {{2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC)}}, publisher = {{IEEE}}, title = {{{Experimental Investigation of Multidimensional Ultrasonic Heavy Wire Bonding}}}, doi = {{10.1109/estc55720.2022.9939478}}, year = {{2022}}, } @article{27364, author = {{Meyer, Marius and Kenter, Tobias and Plessl, Christian}}, issn = {{0743-7315}}, journal = {{Journal of Parallel and Distributed Computing}}, title = {{{In-depth FPGA Accelerator Performance Evaluation with Single Node Benchmarks from the HPC Challenge Benchmark Suite for Intel and Xilinx FPGAs using OpenCL}}}, doi = {{10.1016/j.jpdc.2021.10.007}}, year = {{2022}}, } @inproceedings{31407, abstract = {{Students are not aware and have little understanding of collecting and processing personal data in their everyday contexts of interaction with data-driven digital artifacts. To be aware of where, how and why data are collected and processed is important to be self-determined. Therefore, we develop and evaluate a teaching sequence to provide reasoning about data as a fundamental aspect of statistical literacy. This teaching sequences deals with the context of interaction with a cellular network where location data are collected. Students get real location data from an unknown person which can be explored with the aim to characterize the person. Students gain different insights by using different basic filters and explain how they achieve these. The results of the exploratory study indicate that students learned to gain insights by exploring given location data and that these insights may describe the person with detailed aspects that may not necessarily be true.}}, author = {{Höper, Lukas and Podworny, Susanne and Schulte, Carsten and Frischemeier, Daniel}}, booktitle = {{Proceedings of the IASE 2021 Satellite Conference}}, publisher = {{International Association for Statistical Education}}, title = {{{Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network}}}, doi = {{10.52041/iase.nkppy}}, year = {{2022}}, } @inproceedings{51343, abstract = {{This paper presents preliminary work on the formalization of three prominent cognitive biases in the diagnostic reasoning process over epileptic seizures, psychogenic seizures and syncopes. Diagnostic reasoning is understood as iterative exploration of medical evidence. This exploration is represented as a partially observable Markov decision process where the state (i.e., the correct diagnosis) is uncertain. Observation likelihoods and belief updates are computed using a Bayesian network which defines the interrelation between medical risk factors, diagnoses and potential findings. The decision problem is solved via partially observable upper confidence bounds for trees in Monte-Carlo planning. We compute a biased diagnostic exploration policy by altering the generated state transition, observation and reward during look ahead simulations. The resulting diagnostic policies reproduce reasoning errors which have only been described informally in the medical literature. We plan to use this formal representation in the future to inversely detect and classify biased reasoning in actual diagnostic trajectories obtained from physicians.}}, author = {{Battefeld, Dominik and Kopp, Stefan}}, booktitle = {{Proceedings of the 8th Workshop on Formal and Cognitive Reasoning}}, keywords = {{Diagnostic reasoning, Cognitive bias, Cognitive model, POMDP, Bayesian network, Epilepsy, CDSS}}, location = {{Trier}}, title = {{{Formalizing cognitive biases in medical diagnostic reasoning}}}, year = {{2022}}, } @inproceedings{26539, abstract = {{In control design most control strategies are model-based and require accurate models to be applied successfully. Due to simplifications and the model-reality-gap physics-derived models frequently exhibit deviations from real-world-systems. Likewise, purely data-driven methods often do not generalise well enough and may violate physical laws. Recently Physics-Guided Neural Networks (PGNN) and physics-inspired loss functions separately have shown promising results to conquer these drawbacks. In this contribution we extend existing methods towards the identification of non-autonomous systems and propose a combined approach PGNN-L, which uses a PGNN and a physics-inspired loss term (-L) to successfully identify the system's dynamics, while maintaining the consistency with physical laws. The proposed method is demonstrated on two real-world nonlinear systems and outperforms existing techniques regarding complexity and reliability.}}, author = {{Götte, Ricarda-Samantha and Timmermann, Julia}}, booktitle = {{2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)}}, keywords = {{data-driven, physics-based, physics-informed, neural networks, system identification, hybrid modelling}}, location = {{Cairo, Egypt}}, pages = {{67--76}}, title = {{{Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering}}}, doi = {{10.1109/AIRC56195.2022.9836982}}, year = {{2022}}, } @inproceedings{31066, abstract = {{While trade-offs between modeling effort and model accuracy remain a major concern with system identification, resorting to data-driven methods often leads to a complete disregard for physical plausibility. To address this issue, we propose a physics-guided hybrid approach for modeling non-autonomous systems under control. Starting from a traditional physics-based model, this is extended by a recurrent neural network and trained using a sophisticated multi-objective strategy yielding physically plausible models. While purely data-driven methods fail to produce satisfying results, experiments conducted on real data reveal substantial accuracy improvements by our approach compared to a physics-based model. }}, author = {{Schön, Oliver and Götte, Ricarda-Samantha and Timmermann, Julia}}, booktitle = {{14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)}}, keywords = {{neural networks, physics-guided, data-driven, multi-objective optimization, system identification, machine learning, dynamical systems}}, location = {{Casablanca, Morocco}}, number = {{12}}, pages = {{19--24}}, title = {{{Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems}}}, doi = {{https://doi.org/10.1016/j.ifacol.2022.07.282}}, volume = {{55}}, year = {{2022}}, } @inproceedings{29803, abstract = {{Ultrasonic wire bonding is a solid-state joining process used to form electrical interconnections in micro and power electronics and batteries. A high frequency oscillation causes a metallurgical bond deformation in the contact area. Due to the numerous physical influencing factors, it is very difficult to accurately capture this process in a model. Therefore, our goal is to determine a suitable feed-forward control strategy for the bonding process even without detailed model knowledge. We propose the use of batch constrained Bayesian optimization for the control design. Hence, Bayesian optimization is precisely adapted to the application of bonding: the constraint is used to check one quality feature of the process and the use of batches leads to more efficient experiments. Our approach is suitable to determine a feed-forward control for the bonding process that provides very high quality bonds without using a physical model. We also show that the quality of the Bayesian optimization based control outperforms random search as well as manual search by a user. Using a simple prior knowledge model derived from data further improves the quality of the connection. The Bayesian optimization approach offers the possibility to perform a sensitivity analysis of the control parameters, which allows to evaluate the influence of each control parameter on the bond quality. In summary, Bayesian optimization applied to the bonding process provides an excellent opportunity to develop a feedforward control without full modeling of the underlying physical processes.}}, author = {{Hesse, Michael and Hunstig, Matthias and Timmermann, Julia and Trächtler, Ansgar}}, booktitle = {{Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)}}, isbn = {{978-989-758-549-4}}, keywords = {{Bayesian optimization, Wire bonding, Feed-forward control, model-free design}}, location = {{Online}}, pages = {{383--394}}, title = {{{Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design}}}, year = {{2022}}, } @article{30510, abstract = {{The corrosion behavior of a hybrid material consisting of intrinsically bonded carbon fiber-reinforced epoxy resin with laser-structured EN AW 6082 metal was investigated. Particular attention was paid to the effects of the laser-structuring, surface topography and the contacting. Pristine and hybridized specimens were corroded in aqueous NaCl electrolyte (0.1 mol/l) using a potentiodynamic polarization technique and subsequently analyzed using computed tomography, scanning electron-, light- and laser scanning microscopy. The results show that the corrosive reaction arises mainly from the aluminum component. Surface pretreatment of the aluminum resulted in increasing corrosion rates, but showed no influence on the hybrids corrosion properties. Optical micrographs suggest that the epoxy resin acts as a sealant preventing galvanic corrosion between the aluminum and carbon fibers by hindering the diffusion of the electrolyte into the joints. While corrosion effects were observed locally at the aluminum surface, they were, contrary to expectations, not enhanced on the hybrid interfaces.}}, author = {{Delp, Alexander and Freund, Jonathan and Wu, Shuang and Scholz, Ronja and Löbbecke, Miriam and Haubrich, Jan and Tröster, Thomas and Walther, Frank}}, issn = {{0263-8223}}, journal = {{Composite Structures}}, keywords = {{Civil and Structural Engineering, Ceramics and Composites}}, publisher = {{Elsevier BV}}, title = {{{Influence of laser-generated surface micro-structuring on the intrinsically bonded hybrid system CFRP-EN AW 6082-T6 on its corrosion properties}}}, doi = {{10.1016/j.compstruct.2022.115238}}, volume = {{285}}, year = {{2022}}, } @inbook{33233, abstract = {{Das Programm Maschinenbau in China (mb-cn) ist eine spezielle Ausprägung der Paderborner Masterstudiengänge Maschinenbau, Wirtschafts- und Chemieingenieurwesen. Im Rahmen dieses Programms wird der technisch-interkulturelle Fachsprachkurs »Fachspezifisches Chinesisch« angeboten, der die praktische Anwendung des Sprachenlernens mit studiengangsbezogenen Angeboten kombiniert. Ziel des Kurses ist es, die Studierenden zu befähigen eine Hanyu-Shuiping-Kaoshi-Prüfung (HSK) auf Niveaustufe 2 zu bestehen sowie ihnen vertiefendes Fachvokabular aus den Fachbereichen Mathematik, Informatik, Wirtschaft, Technik und Maschinenbau zu vermitteln. Ausgewählte Beispiele in der fachsprachlichen Anwendung beziehensich auf die Beschreibung eines Gegenstandes wie den Getriebeaufbau und das Wirkprinzip eines Prüfstandes. Der Artikel soll als Evaluation und Rückschau auf das Pilotprojekt der Universität Paderborn dienen und Hilfestellung geben, wie die Konzeption und Umsetzung (auch unter Coronabedingungen) gelingen kann.}}, author = {{Hambach, Dennis}}, booktitle = {{Handbuch China-Kompetenzen}}, editor = {{Thelen, Gabriele and Obendiek, Helena and Bai, Yinchun}}, issn = {{2699-7681}}, pages = {{161--170}}, publisher = {{transcript Verlag}}, title = {{{»Fachspezifisches Chinesisch« an der Universität Paderborn}}}, doi = {{10.14361/9783839459751-015}}, year = {{2022}}, } @inbook{33232, abstract = {{Das seit den 1990er Jahren andauernde Engagement der Universität Paderborn in China hat zur Ausbildung von technisch-interkultureller China-Kompetenz in vielen Bereichengeführt. Die Universität Paderborn (UPB) unterhält derzeit sechs intensive Austauschpartnerschaften mit chinesischen Hochschulen. Im Rahmen der Masterstudiengänge Maschinenbau, Wirtschafts- und Chemieingenieurwesen sowie Wirtschaftsingenieurwesen wird die Studienausrichtung Maschinenbau in China (mb-cn) angeboten. Diese Studienausrichtung wird inenger Zusammenarbeit mit namhaften, global agierenden Partnerfirmen durchgeführt, die eigene Tochterfirmen in China oder eine starke Verbindung zu chinesischen Unternehmen haben. Zusätzlich können die Studierenden ein Fachpraktikum in einem deutschen Unternehmen in China absolvieren. Im Rahmen des Artikels wird das mb-cn-Projekt ausführlich vorgestellt. Die hierbeigeschilderten Erfahrungen mit dem Aufbau der Kooperation sowie die gezogenen Rückschlüsse auf die Ergebnisse des Projekts sollen dazu dienen, andere Einrichtungen beim Aufbau ähnlicher Kooperation zu unterstützen.}}, author = {{Denzer, Vera and Hambach, Dennis}}, booktitle = {{Handbuch China-Kompetenzen}}, editor = {{Thelen, Gabriele and Obendiek, Helena and Bai, Yinchun}}, issn = {{2699-7681}}, pages = {{117--128}}, publisher = {{transcript Verlag}}, title = {{{Maschinenbau in China}}}, doi = {{10.14361/9783839459751-010}}, year = {{2022}}, } @article{59617, abstract = {{There is an increasing interest in sensing applications for a variety of analytes in aqueous environments, as conventional methods do not work reliably under humid conditions or they require complex equipment with experienced operators. Hydrogel sensors are easy to fabricate, are incredibly sensitive, and have broad dynamic ranges. Experiments on their robustness, reliability, and reusability have indicated the possible long-term applications of these systems in a variety of fields, including disease diagnosis, detection of pharmaceuticals, and in environmental testing. It is possible to produce hydrogels, which, upon sensing a specific analyte, can adsorb it onto their 3D-structure and can therefore be used to remove them from a given environment. High specificity can be obtained by using molecularly imprinted polymers. Typical detection principles involve optical methods including fluorescence and chemiluminescence, and volume changes in colloidal photonic crystals, as well as electrochemical methods. Here, we explore the current research utilizing hydrogel-based sensors in three main areas: (1) biomedical applications, (2) for detecting and quantifying pharmaceuticals of interest, and (3) detecting and quantifying environmental contaminants in aqueous environments.}}, author = {{Völlmecke, Katharina and Afroz, Rowshon and Bierbach, Sascha and Brenker, Lee Josephine and Frücht, Sebastian and Glass, Alexandra and Giebelhaus, Ryland and Hoppe, Axel and Kanemaru, Karen and Lazarek, Michal and Rabbe, Lukas and Song, Longfei and Velasco Suarez, Andrea and Wu, Shuang and Serpe, Michael and Kuckling, Dirk}}, issn = {{2310-2861}}, journal = {{Gels}}, number = {{12}}, publisher = {{MDPI AG}}, title = {{{Hydrogel-Based Biosensors}}}, doi = {{10.3390/gels8120768}}, volume = {{8}}, year = {{2022}}, } @article{59619, abstract = {{AbstractA frustrated Lewis pair‐catalyzed hydroboration of aromatic and aliphatic nitriles was developed. The catalyst provides the primary amines in high yields of 77–99% with catalyst loading as low as 2 mol%. The reaction displays high functional group tolerance towards esters, amides, nitro groups and aliphatic halides. The addition of the diborylated amines to ethyl 3‐phenylpropiolate proceeds with Z‐selectivity with d.r. of >99:1 in 77–90% yield over two steps. The reaction mechanism was investigated by control and computational experiments.magnified image }}, author = {{Sieland, Benedikt and Hoppe, Axel and Stepen, Arne J. and Paradies, Jan}}, issn = {{1615-4150}}, journal = {{Advanced Synthesis & Catalysis}}, keywords = {{hydroboration, nitrile, amine, frustrated Lewis pair, density functional theory}}, number = {{18}}, pages = {{3143--3148}}, publisher = {{Wiley}}, title = {{{Frustrated Lewis Pair‐Catalyzed Hydroboration of Nitriles: FLP Versus Borenium Catalysis}}}, doi = {{10.1002/adsc.202200525}}, volume = {{364}}, year = {{2022}}, } @inbook{56331, author = {{Kokew, Stephan Matthias}}, booktitle = {{Rationalität in der Islamischen Theologie. Band II: Die Moderne}}, editor = {{El Kaisy-Friemuth, Maha and Hajatpour, Reza and Abdel Rahem, Mohammed}}, isbn = {{9783110588590}}, pages = {{315–333}}, title = {{{Demanding Tolerance in a Middle Eastern Context: The Example of Mājid al-Gharbāwī}}}, doi = {{10.1515/9783110588590-015}}, year = {{2022}}, } @inproceedings{59882, author = {{Plaksin, Anna Viktoria Katrin and Lewis, David}}, booktitle = {{9th International Conference on Digital Libraries for Musicology}}, publisher = {{ACM}}, title = {{{MeRIT: An interactive annotation tool for mensural rhythms}}}, doi = {{10.1145/3543882.3543888}}, year = {{2022}}, } @inbook{34704, abstract = {{One of the most powerful events in the still young 21st century is certainly the outbreak of the coronavirus and the following COVID-19 pandemic. Massive economic as well as social distress caused worldwide devastation. In Germany, not only stores, factories, cultural facilities were closed, but also – for the first time in history – schools were closed nationwide. Closed working sites and vocational schools, as well as working sites, which remained open due to their systemic relevance, led to so far unknown challenges in Germany’s vocational education system. A very good example are the dual apprenticeships, such as trained retail salesman, which were only partially affected by closures. The main goal of education policy was to compensate personal communication and interaction via digital media. This article’s main aim is to reveal the strategies vocational schools have developed to overcome the challenges they had to face because of the pandemic.}}, author = {{Sommer, Christian and Szczesny, Daniela}}, booktitle = {{Berufsausbildung zwischen Hygienemaßnahmen und Lockdown(s). Folgen für die schulische und außerschulische Berufsausbildung in Schule, im Betrieb und bei Bildungsträgern.}}, editor = {{Heisler, Dietmar and Meier, Jörg A.}}, keywords = {{COVID-19, Digitalization, Vocational education and training, Retail}}, pages = {{329--348}}, title = {{{Organisation der dualen Berufsausbildung zum/zur Verkäufer:in und Kaufmann:frau im Einzelhandel im Zeichen der COVID-19-Pandemie.}}}, doi = {{10.3278/9783763972579}}, year = {{2022}}, } @article{32088, abstract = {{Subwavelength dielectric resonators assembled into metasurfaces have become a versatile tool for miniaturizing optical components approaching the nanoscale. An important class of metasurface functionalities is associated with asymmetry in both the generation and transmission of light with respect to reversals of the positions of emitters and receivers. The nonlinear light–matter interaction in metasurfaces offers a promising pathway towards miniaturization of the asymmetric control of light. Here we demonstrate asymmetric parametric generation of light in nonlinear metasurfaces. We assemble dissimilar nonlinear dielectric resonators into translucent metasurfaces that produce images in the visible spectral range on being illuminated by infrared radiation. By design, the metasurfaces produce different and completely independent images for the reversed direction of illumination, that is, when the positions of the infrared emitter and the visible light receiver are exchanged. Nonlinearity-enabled asymmetric control of light by subwavelength resonators paves the way towards novel nanophotonic components via dense integration of large quantities of nonlinear resonators into compact metasurface designs.}}, author = {{Kruk, Sergey S. and Wang, Lei and Sain, Basudeb and Dong, Zhaogang and Yang, Joel and Zentgraf, Thomas and Kivshar, Yuri}}, issn = {{1749-4885}}, journal = {{Nature Photonics}}, keywords = {{Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials}}, pages = {{561–565}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Asymmetric parametric generation of images with nonlinear dielectric metasurfaces}}}, doi = {{10.1038/s41566-022-01018-7}}, volume = {{16}}, year = {{2022}}, } @article{29790, abstract = {{The free exciton transition (near-band-edge emission, NBE) of ZnO at ≈388 nm can be strongly enhanced and even stimulated by an underlying photonic structure. 1D Photonic crystals, so-called distributed Bragg reflectors, are utilized to suppress the deep-level emission of ZnO (DLE, ≈500–530 nm). The reflector stacks are fabricated in a layer-by-layer procedure by wet-chemical synthesis. They consist of low-ε porous SiO2 layers and high-ε TiO2 layers. Varying the thickness of the SiO2 layers allows tuning the optical bandgap in a wide range between ≈420 and 800 nm. A ZnO layer is deposited on top of the reflector stacks by sol–gel synthesis. The spontaneous photoluminescence (PL) emission of the ZnO film is modulated by the photonic structure. When the optical bandgap of the reflector is in resonance with the deep-level emission of ZnO (DLE, ≈500–530 nm), then this defect-related emission mode is suppressed. Strong NBE emission is observed even when the ZnO layer does not show any NBE emission (due to low crystallinity) in the absence of the photonic structure. With this cost-efficient synthesis method, emitters for, e.g., luminescent gas sensors can be fabricated.}}, author = {{Kothe, Linda and Albert, Maximilian and Meier, Cedrik and Wagner, Thorsten and Tiemann, Michael}}, issn = {{2196-7350}}, journal = {{Advanced Materials Interfaces}}, keywords = {{Mechanical Engineering, Mechanics of Materials}}, publisher = {{Wiley}}, title = {{{Stimulation and Enhancement of Near‐Band‐Edge Emission in Zinc Oxide by Distributed Bragg Reflectors}}}, doi = {{10.1002/admi.202102357}}, volume = {{9}}, year = {{2022}}, }