@article{30920,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>Batteries capable of extreme fast-charging (XFC) are a necessity for the deployment of electric vehicles. Material properties of electrodes and electrolytes along with cell parameters such as stack pressure and temperature have coupled, synergistic, and sometimes deleterious effects on fast-charging performance. We develop a new experimental testbed that allows precise and conformal application of electrode stack pressure. We focus on cell capacity degradation using single-layer pouch cells with graphite anodes, LiNi0.5Mn0.3Co0.2O2 (NMC532) cathodes, and carbonate-based electrolyte. In the tested range (10 – 125 psi), cells cycled at higher pressure show higher capacity and less capacity fading. Additionally, Li plating decreases with increasing pressure as observed with scanning electron microscopy (SEM) and optical imaging. While the loss of Li inventory from Li plating is the largest contributor to capacity fade, electrochemical and SEM examination of the NMC cathodes after XFC experiments show increased secondary particle damage at lower pressure. We infer that the better performance at higher pressure is due to more homogenous reactions of active materials across the electrode and less polarization through the electrode thickness. Our study emphasizes the importance of electrode stack pressure in XFC batteries and highlights its subtle role in cell conditions.</jats:p>}},
  author       = {{Cao, Chuntian and Steinrück, Hans-Georg and Paul, Partha P and Dunlop, Alison R. and Trask, Stephen E. and Jansen, Andrew and Kasse, Robert M and Thampy, Vivek and Yusuf, Maha and Nelson Weker, Johanna and Shyam, Badri and Subbaraman, Ram and Davis, Kelly and Johnston, Christina M and Takacs, Christopher J and Toney, Michael}},
  issn         = {{0013-4651}},
  journal      = {{Journal of The Electrochemical Society}},
  keywords     = {{Materials Chemistry, Electrochemistry, Surfaces, Coatings and Films, Condensed Matter Physics, Renewable Energy, Sustainability and the Environment, Electronic, Optical and Magnetic Materials}},
  pages        = {{040540}},
  publisher    = {{The Electrochemical Society}},
  title        = {{{Conformal Pressure and Fast-Charging Li-Ion Batteries}}},
  doi          = {{10.1149/1945-7111/ac653f}},
  volume       = {{169}},
  year         = {{2022}},
}

@article{30922,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Pure iron is very attractive as a biodegradable implant material due to its high biocompatibility. In combination with additive manufacturing, which facilitates great flexibility of the implant design, it is possible to selectively adjust the microstructure of the material in the process, thereby control the corrosion and fatigue behavior. In the present study, conventional hot-rolled (HR) pure iron is compared to pure iron manufactured by electron beam melting (EBM). The microstructure, the corrosion behavior and the fatigue properties were studied comprehensively. The investigated sample conditions showed significant differences in the microstructures that led to changes in corrosion and fatigue properties. The EBM iron showed significantly lower fatigue strength compared to the HR iron. These different fatigue responses were observed under purely mechanical loading as well as with superimposed corrosion influence and are summarized in a model that describes the underlying failure mechanisms.</jats:p>}},
  author       = {{Wackenrohr, Steffen and Torrent, Christof Johannes Jaime and Herbst, Sebastian and Nürnberger, Florian and Krooss, Philipp and Ebbert, Christoph and Voigt, Markus and Grundmeier, Guido and Niendorf, Thomas and Maier, Hans Jürgen}},
  issn         = {{2397-2106}},
  journal      = {{npj Materials Degradation}},
  keywords     = {{Materials Chemistry, Materials Science (miscellaneous), Chemistry (miscellaneous), Ceramics and Composites}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Corrosion fatigue behavior of electron beam melted iron in simulated body fluid}}},
  doi          = {{10.1038/s41529-022-00226-4}},
  volume       = {{6}},
  year         = {{2022}},
}

@article{29902,
  author       = {{Reineke Matsudo, Bernhard and Sain, Basudeb and Carletti, Luca and Zhang, Xue and Gao, Wenlong and Angelis, Costantino and Huang, Lingling and Zentgraf, Thomas}},
  issn         = {{2198-3844}},
  journal      = {{Advanced Science}},
  keywords     = {{General Physics and Astronomy, General Engineering, Biochemistry, Genetics and Molecular Biology (miscellaneous), General Materials Science, General Chemical Engineering, Medicine (miscellaneous)}},
  number       = {{12}},
  publisher    = {{Wiley}},
  title        = {{{Efficient Frequency Conversion with Geometric Phase Control in Optical Metasurfaces}}},
  doi          = {{10.1002/advs.202104508}},
  volume       = {{9}},
  year         = {{2022}},
}

@article{30911,
  author       = {{Vorderbrüggen, Julian and Köhler, Daniel and Grüber, Bernd and Troschitz, Juliane and Gude, Maik and Meschut, Gerson}},
  issn         = {{0263-8223}},
  journal      = {{Composite Structures}},
  keywords     = {{Civil and Structural Engineering, Ceramics and Composites}},
  publisher    = {{Elsevier BV}},
  title        = {{{Development of a rivet geometry for solid self-piercing riveting of thermally loaded CFRP-metal joints in automotive construction}}},
  doi          = {{10.1016/j.compstruct.2022.115583}},
  volume       = {{291}},
  year         = {{2022}},
}

@article{30964,
  author       = {{Gao, Wenlong and Sain, Basudeb and Zentgraf, Thomas}},
  issn         = {{2331-7019}},
  journal      = {{Physical Review Applied}},
  keywords     = {{General Physics and Astronomy}},
  number       = {{4}},
  publisher    = {{American Physical Society (APS)}},
  title        = {{{Spin-Orbit Interaction of Light Enabled by Negative Coupling in High-Quality-Factor Optical Metasurfaces}}},
  doi          = {{10.1103/physrevapplied.17.044022}},
  volume       = {{17}},
  year         = {{2022}},
}

@article{30915,
  author       = {{Chudalla, Nick and Meschut, Gerson and Bartley, Aurélie and Wibbeke, Tim Michael}},
  issn         = {{1619-1919}},
  journal      = {{adhäsion KLEBEN &amp; DICHTEN}},
  keywords     = {{Polymers and Plastics, General Chemical Engineering, General Chemistry}},
  number       = {{4}},
  pages        = {{34--37}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Bauteilschonendes  Entfügen struktureller Klebverbindungen  durch Kälte}}},
  doi          = {{10.1007/s35145-022-0576-0}},
  volume       = {{66}},
  year         = {{2022}},
}

@article{31844,
  abstract     = {{<jats:p>Encrypting data before sending it to the cloud ensures data confidentiality but requires the cloud to compute on encrypted data. Trusted execution environments, such as Intel SGX enclaves, promise to provide a secure environment in which data can be decrypted and then processed. However, vulnerabilities in the executed program give attackers ample opportunities to execute arbitrary code inside the enclave. This code can modify the dataflow of the program and leak secrets via SGX side channels. Fully homomorphic encryption would be an alternative to compute on encrypted data without data leaks. However, due to its high computational complexity, its applicability to general-purpose computing remains limited. Researchers have made several proposals for transforming programs to perform encrypted computations on less powerful encryption schemes. Yet current approaches do not support programs making control-flow decisions based on encrypted data.</jats:p>
          <jats:p>
            We introduce the concept of
            <jats:italic>dataflow authentication</jats:italic>
            (DFAuth) to enable such programs. DFAuth prevents an adversary from arbitrarily deviating from the dataflow of a program. Our technique hence offers protections against the side-channel attacks described previously. We implemented two flavors of DFAuth, a Java bytecode-to-bytecode compiler, and an SGX enclave running a small and program-independent trusted code base. We applied DFAuth to a neural network performing machine learning on sensitive medical data and a smart charging scheduler for electric vehicles. Our transformation yields a neural network with encrypted weights, which can be evaluated on encrypted inputs in
            <jats:inline-formula content-type="math/tex">
              <jats:tex-math notation="LaTeX" version="MathJax">\( 12.55 \,\mathrm{m}\mathrm{s} \)</jats:tex-math>
            </jats:inline-formula>
            . Our protected scheduler is capable of updating the encrypted charging plan in approximately 1.06 seconds.
          </jats:p>}},
  author       = {{Fischer, Andreas and Fuhry, Benny and Kußmaul, Jörn and Janneck, Jonas and Kerschbaum, Florian and Bodden, Eric}},
  issn         = {{2471-2566}},
  journal      = {{ACM Transactions on Privacy and Security}},
  keywords     = {{Safety, Risk, Reliability and Quality, General Computer Science}},
  number       = {{3}},
  pages        = {{1--36}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{Computation on Encrypted Data Using Dataflow Authentication}}},
  doi          = {{10.1145/3513005}},
  volume       = {{25}},
  year         = {{2022}},
}

@article{32180,
  author       = {{Meschede, Henning and Bertheau, Paul and Khalili, Siavash and Breyer, Christian}},
  issn         = {{2041-8396}},
  journal      = {{WIREs Energy and Environment}},
  keywords     = {{General Environmental Science, Renewable Energy, Sustainability and the Environment}},
  publisher    = {{Wiley}},
  title        = {{{A review of 100% renewable energy scenarios on islands}}},
  doi          = {{10.1002/wene.450}},
  year         = {{2022}},
}

@article{32266,
  author       = {{Hoppe, Julia Amelie and Melkas, Helinä and Pekkarinen, Satu and Tuisku, Outi and Hennala, Lea and Johansson-Pajala, Rose-Marie and Gustafsson, Christine and Thommes, Kirsten}},
  issn         = {{1044-7318}},
  journal      = {{International Journal of Human–Computer Interaction}},
  keywords     = {{Computer Science Applications, Human-Computer Interaction, Human Factors and Ergonomics}},
  pages        = {{1--17}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Perception of Society’s Trust in Care Robots by Public Opinion Leaders}}},
  doi          = {{10.1080/10447318.2022.2081283}},
  year         = {{2022}},
}

@article{32267,
  author       = {{Hoppe, Julia Amelie and Melkas, Helinä and Pekkarinen, Satu and Tuisku, Outi and Hennala, Lea and Johansson-Pajala, Rose-Marie and Gustafsson, Christine and Thommes, Kirsten}},
  issn         = {{1044-7318}},
  journal      = {{International Journal of Human–Computer Interaction}},
  keywords     = {{Computer Science Applications, Human-Computer Interaction, Human Factors and Ergonomics}},
  pages        = {{1--17}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Perception of Society’s Trust in Care Robots by Public Opinion Leaders}}},
  doi          = {{10.1080/10447318.2022.2081283}},
  year         = {{2022}},
}

@article{29806,
  author       = {{Huang, Jingyuan and Voigt, Markus and Wackenrohr, Steffen and Ebbert, Christoph and Keller, Adrian and Maier, Hans Jürgen and Grundmeier, Guido}},
  issn         = {{0947-5117}},
  journal      = {{Materials and Corrosion}},
  keywords     = {{Materials Chemistry, Metals and Alloys, Surfaces, Coatings and Films, Mechanical Engineering, Mechanics of Materials, Environmental Chemistry, Materials Chemistry, Metals and Alloys, Surfaces, Coatings and Films, Mechanical Engineering, Mechanics of Materials, Environmental Chemistry, Materials Chemistry, Metals and Alloys, Surfaces, Coatings and Films, Mechanical Engineering, Mechanics of Materials, Environmental Chemistry}},
  pages        = {{1034}},
  publisher    = {{Wiley}},
  title        = {{{Influence of hydrogel coatings on corrosion and fatigue of iron in simulated body fluid}}},
  doi          = {{10.1002/maco.202112841}},
  volume       = {{73}},
  year         = {{2022}},
}

@article{32330,
  author       = {{Krüger, Jan Tobias and Hoyer, Kay-Peter and Hengsbach, Florian and Schaper, Mirko}},
  issn         = {{2238-7854}},
  journal      = {{Journal of Materials Research and Technology}},
  keywords     = {{Metals and Alloys, Surfaces, Coatings and Films, Biomaterials, Ceramics and Composites}},
  pages        = {{2369--2387}},
  publisher    = {{Elsevier BV}},
  title        = {{{Formation of insoluble silver-phases in an iron-manganese matrix for bioresorbable implants using varying laser beam melting strategies}}},
  doi          = {{10.1016/j.jmrt.2022.06.006}},
  volume       = {{19}},
  year         = {{2022}},
}

@article{32335,
  abstract     = {{Aspects of data science surround us in many contexts, for example regarding climate change, air pollution, and other environmental issues. To open the “data-science-black-box” for lower secondary school students we developed a data science project focussing on the analysis of self-collected environmental data. We embed this project in computer science education, which enables us to use a new knowledge-based programming approach for the data analysis within Jupyter Notebooks and the programming language Python. In this paper, we evaluate the second cycle of this project which took place in a ninth-grade computer science class. In particular, we present how the students coped with the professional tool of Jupyter Notebooks for doing statistical investigations and which insights they gained.}},
  author       = {{PODWORNY, SUSANNE and Hüsing, Sven and SCHULTE, CARSTEN}},
  issn         = {{1570-1824}},
  journal      = {{STATISTICS EDUCATION RESEARCH JOURNAL}},
  keywords     = {{Education, Statistics and Probability}},
  number       = {{2}},
  publisher    = {{International Association for Statistical Education}},
  title        = {{{A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING}}},
  doi          = {{10.52041/serj.v21i2.46}},
  volume       = {{21}},
  year         = {{2022}},
}

@article{32087,
  abstract     = {{<jats:p> Agility, a key component of team ball sports, describes an athlete´s ability to move fast in response to changing environments. While agility requires basic cognitive functions like processing speed, it also requires more complex cognitive processes like working memory and inhibition. Yet, most agility tests restrict an assessment of cognitive processes to simple reactive times that lack ecological validity. Our aim in this study was to assess agility performance by means of total time on two agility tests with matched motor demands but with both low and high cognitive demands. We tested 22 female team athletes on SpeedCourt, using a simple agility test (SAT) that measured only processing speed and a complex agility test (CAT) that required working memory and inhibition. We found excellent to good reliability for both our SAT (ICC = .79) and CAT (ICC =.70). Lower agility performance on the CAT was associated with increased agility total time and split times ( p &lt; .05). These results demonstrated that agility performance depends on the complexity of cognitive demands. There may be interference-effects between motor and cognitive performances, reducing speed when environmental information becomes more complex. Future studies should consider agility training models that implement complex cognitive stimuli to challenge athletes according to competitive demands. This will also allow scientists and practitioners to tailor tests to talent identification, performance development and injury rehabilitation. </jats:p>}},
  author       = {{Büchel, Daniel and Gokeler, Alli and Heuvelmans, Pieter and Baumeister, Jochen}},
  issn         = {{0031-5125}},
  journal      = {{Perceptual and Motor Skills}},
  keywords     = {{Sensory Systems, Experimental and Cognitive Psychology}},
  publisher    = {{SAGE Publications}},
  title        = {{{Increased Cognitive Demands Affect Agility Performance in Female Athletes - Implications for Testing and Training of Agility in Team Ball Sports}}},
  doi          = {{10.1177/00315125221108698}},
  year         = {{2022}},
}

@article{32432,
  author       = {{Yang, Yu and Huang, Jingyuan and Dornbusch, Daniel and Grundmeier, Guido and Fahmy, Karim and Keller, Adrian and Cheung, David L.}},
  issn         = {{0743-7463}},
  journal      = {{Langmuir}},
  keywords     = {{Electrochemistry, Spectroscopy, Surfaces and Interfaces, Condensed Matter Physics, General Materials Science}},
  pages        = {{9257–9265}},
  publisher    = {{American Chemical Society (ACS)}},
  title        = {{{Effect of Surface Hydrophobicity on the Adsorption of a Pilus-Derived Adhesin-like Peptide}}},
  doi          = {{10.1021/acs.langmuir.2c01016}},
  volume       = {{38}},
  year         = {{2022}},
}

@article{32589,
  abstract     = {{<jats:p>Guanidinium (Gdm) undergoes interactions with both hydrophilic and hydrophobic groups and, thus, is a highly potent denaturant of biomolecular structure. However, our molecular understanding of the interaction of Gdm with proteins and DNA is still rather limited. Here, we investigated the denaturation of DNA origami nanostructures by three Gdm salts, i.e., guanidinium chloride (GdmCl), guanidinium sulfate (Gdm2SO4), and guanidinium thiocyanate (GdmSCN), at different temperatures and in dependence of incubation time. Using DNA origami nanostructures as sensors that translate small molecular transitions into nanostructural changes, the denaturing effects of the Gdm salts were directly visualized by atomic force microscopy. GdmSCN was the most potent DNA denaturant, which caused complete DNA origami denaturation at 50 °C already at a concentration of 2 M. Under such harsh conditions, denaturation occurred within the first 15 min of Gdm exposure, whereas much slower kinetics were observed for the more weakly denaturing salt Gdm2SO4 at 25 °C. Lastly, we observed a novel non-monotonous temperature dependence of DNA origami denaturation in Gdm2SO4 with the fraction of intact nanostructures having an intermediate minimum at about 40 °C. Our results, thus, provide further insights into the highly complex Gdm–DNA interaction and underscore the importance of the counteranion species.</jats:p>}},
  author       = {{Hanke, Marcel and Hansen, Niklas and Tomm, Emilia and Grundmeier, Guido and Keller, Adrian}},
  issn         = {{1422-0067}},
  journal      = {{International Journal of Molecular Sciences}},
  keywords     = {{Inorganic Chemistry, Organic Chemistry, Physical and Theoretical Chemistry, Computer Science Applications, Spectroscopy, Molecular Biology, General Medicine, Catalysis}},
  number       = {{15}},
  pages        = {{8547}},
  publisher    = {{MDPI AG}},
  title        = {{{Time-Dependent DNA Origami Denaturation by Guanidinium Chloride, Guanidinium Sulfate, and Guanidinium Thiocyanate}}},
  doi          = {{10.3390/ijms23158547}},
  volume       = {{23}},
  year         = {{2022}},
}

@article{34022,
  abstract     = {{<jats:p>Background: Medical professionals working in an elite sport environment have the challenging task to balance the athlete’s readiness to return to the playing field after severe injury with other stakeholders’ (coaches, sponsors, teammates) opinions and objectives.Objectives: Our study aimed to evaluate differences in the physical profiles of elite rugby players at return to play (RTP) after a severe knee injury, compared with their pre-injury profiles and matched controls.Method: Before the injury, participants performed four performance tests during their preseason screening. These tests were repeated and compared to baseline once a player was declared fit to play.Results: Significant differences (p ≤ 0.05) were found in the injured players’ group who were slower over 10 m speed, in their decision-making time and the total time of the reactive agility tests at RTP, whilst controls were significantly faster over 10 m and 30 m speed tests. The countermovement jump outcomes showed significant improvement in the uninjured participants (p ≤ 0.05).Conclusion: Our study highlights that injured players’ running speeds and decision-making times are slower after injury. The uninjured players have a positive outcome to training and match stimulus by improving their running speed and lower body explosive power during the season.Clinical implications: Our study provides insight into the RTP profile of elite rugby players, and a novel finding was the decision-making time deficit. This highlights the importance of cognitive training during injury rehabilitation as athletes make numerous decisions in a pressured and uncontrolled environment during a match. Speed training development is recommended as the athletes were slower after severe knee injury.</jats:p>}},
  author       = {{Robyn, Aneurin D. and Louw, Quinette A. and Baumeister, Jochen}},
  issn         = {{2410-8219}},
  journal      = {{South African Journal of Physiotherapy}},
  keywords     = {{Physical Therapy, Sports Therapy and Rehabilitation}},
  number       = {{1}},
  publisher    = {{AOSIS}},
  title        = {{{Return to play in elite rugby players after severe knee injuries}}},
  doi          = {{10.4102/sajp.v78i1.1629}},
  volume       = {{78}},
  year         = {{2022}},
}

@article{34044,
  author       = {{Hoffmann, Christin and Thommes, Kirsten}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  keywords     = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment, Building and Construction}},
  publisher    = {{Elsevier BV}},
  title        = {{{Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion on emissions from heavy traffic}}},
  doi          = {{10.1016/j.jclepro.2022.135053}},
  year         = {{2022}},
}

@article{34045,
  author       = {{Hoffmann, Christin and Thommes, Kirsten}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  keywords     = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment, Building and Construction}},
  publisher    = {{Elsevier BV}},
  title        = {{{Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion on emissions from heavy traffic}}},
  doi          = {{10.1016/j.jclepro.2022.135053}},
  year         = {{2022}},
}

@article{34099,
  abstract     = {{<jats:p>Using a unique combination of advanced characterization techniques, we identify specific degradation mechanisms and quantify degradative species formed during fast charge cycling of lithium-ion battery pouch cells.</jats:p>}},
  author       = {{McShane, Eric J. and Paul, Partha P. and Tanim, Tanvir R. and Cao, Chuntian and Steinrück, Hans-Georg and Thampy, Vivek and Trask, Stephen E. and Dunlop, Alison R. and Jansen, Andrew N. and Dufek, Eric J. and Toney, Michael F. and Weker, Johanna Nelson and McCloskey, Bryan D.}},
  issn         = {{2050-7488}},
  journal      = {{Journal of Materials Chemistry A}},
  keywords     = {{General Materials Science, Renewable Energy, Sustainability and the Environment, General Chemistry}},
  number       = {{44}},
  pages        = {{23927--23939}},
  publisher    = {{Royal Society of Chemistry (RSC)}},
  title        = {{{Multimodal quantification of degradation pathways during extreme fast charging of lithium-ion batteries}}},
  doi          = {{10.1039/d2ta05887a}},
  volume       = {{10}},
  year         = {{2022}},
}