S. Vieluf, T. Hasija, M. Kuschel, C. Reinsberger, and T. Loddenkemper, “Developing a deep canonical correlation-based technique for seizure prediction,”10.1016/j.eswa.2023.120986__Expert Systems with Applications, vol. 234, Art. no. 120986, 2023, doi:10.1016/j.eswa.2023.120986 .

M. Tavana, A. Khalili Nasr, A. B. Ahmadabadi, A. S. Amiri, and H. Mina, “An interval multi-criteria decision-making model for evaluating blockchain-IoT technology in supply chain networks,”10.1016/j.iot.2023.100786__Internet of Things, vol. 22, Art. no. 100786, 2023, doi:10.1016/j.iot.2023.100786 .

M. Tavana, M. Soltanifar, F. J. Santos-Arteaga, and H. Sharafi, “Analytic hierarchy process and data envelopment analysis: A match made in heaven,”10.1016/j.eswa.2023.119902__Expert Systems with Applications, vol. 223, Art. no. 119902, 2023, doi:10.1016/j.eswa.2023.119902 .

J. Castenow, P. Kling, T. Knollmann, and F. Meyer auf der Heide, “A Discrete and Continuous Study of the Max-Chain-Formation Problem,”10.1016/j.ic.2022.104877__Information and Computation, Art. no. 104877, 2022, doi:10.1016/j.ic.2022.104877 .

M. Hanke, N. Hansen, R. Chen, G. Grundmeier, K. Fahmy, and A. Keller, “Salting-Out of DNA Origami Nanostructures by Ammonium Sulfate,”10.3390/ijms23052817__International Journal of Molecular Sciences, vol. 23, no. 5, p. 2817, 2022, doi:10.3390/ijms23052817 .

J. A. Hoppe et al., “Perception of Society’s Trust in Care Robots by Public Opinion Leaders,”10.1080/10447318.2022.2081283__International Journal of Human–Computer Interaction, pp. 1–17, 2022, doi:10.1080/10447318.2022.2081283 .

J. A. Hoppe et al., “Perception of Society’s Trust in Care Robots by Public Opinion Leaders,”10.1080/10447318.2022.2081283__International Journal of Human–Computer Interaction, pp. 1–17, 2022, doi:10.1080/10447318.2022.2081283 .

M. Hanke, N. Hansen, E. Tomm, G. Grundmeier, and A. Keller, “Time-Dependent DNA Origami Denaturation by Guanidinium Chloride, Guanidinium Sulfate, and Guanidinium Thiocyanate,”10.3390/ijms23158547__International Journal of Molecular Sciences, vol. 23, no. 15, p. 8547, 2022, doi:10.3390/ijms23158547 .

J. Popp, D. Römisch, M. Merklein, and D. Drummer, “Joining of CFRT/Steel Hybrid Parts via Direct Pressing of Cold Formed Non-Rotational Symmetric Pin Structures,”10.3390/app12104962__Applied Sciences, vol. 12, no. 10, Art. no. 4962, 2022, doi:10.3390/app12104962 .

S. Baswana, S. Gupta, and T. Knollmann, “Mincut Sensitivity Data Structures for the Insertion of an Edge,”10.1007/s00453-022-00978-0__Algorithmica, 2022, doi:10.1007/s00453-022-00978-0 .

M. Hanke et al., “Anion-specific structure and stability of guanidinium-bound DNA origami,”10.1016/j.csbj.2022.05.037__Computational and Structural Biotechnology Journal, vol. 20, pp. 2611–2623, 2022, doi:10.1016/j.csbj.2022.05.037 .

C. Zirngibl, B. Schleich, and S. Wartzack, “Robust estimation of clinch joint characteristics based on data-driven methods,”10.1007/s00170-022-10441-7__The International Journal of Advanced Manufacturing Technology, 2022, doi:10.1007/s00170-022-10441-7 .

C. Hoffmann and K. Thommes, “Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers’ Use of Cruise Control,”10.1109/thms.2022.3212335__IEEE Transactions on Human-Machine Systems, pp. 1–11, 2022, doi:10.1109/thms.2022.3212335 .

C. Vogelsang, C. Kulgemeyer, and J. Riese, “Learning to Plan by Learning to Reflect?—Exploring Relations between Professional Knowledge, Reflection Skills, and Planning Skills of Preservice Physics Teachers in a One-Semester Field Experience,”10.3390/educsci12070479__Education Sciences, vol. 12, no. 7, Art. no. 479, 2022, doi:10.3390/educsci12070479 .

C. Bartelheimer, P. zur Heiden, H. Lüttenberg, and D. Beverungen, “Systematizing the lexicon of platforms in information systems: a data-driven study,”10.1007/s12525-022-00530-6__Electronic Markets, vol. 32, no. 1, pp. 375–396, 2022, doi:10.1007/s12525-022-00530-6 .

L. Hofeditz, S. Clausen, A. Rieß, M. Mirbabaie, and S. Stieglitz, “Applying XAI to an AI-based system for candidate management to mitigate bias and discrimination in hiring,”10.1007/s12525-022-00600-9__Electronic Markets (ELMA), 2022, doi:10.1007/s12525-022-00600-9 .

A. Henkes, H. Wessels, and R. Mahnken, “Physics informed neural networks for continuum micromechanics,”10.1016/j.cma.2022.114790__Computer Methods in Applied Mechanics and Engineering, vol. 393, Art. no. 114790, 2022, doi:10.1016/j.cma.2022.114790 .

K. Rohlfing et al., “Social/dialogical roles of social robots in supporting children’s learning of language and literacy—A review and analysis of innovative roles,”10.3389/frobt.2022.971749__Frontiers in Robotics and AI, vol. 9, 2022, doi:10.3389/frobt.2022.971749 .

T. D. Joy, D. Weiß, B. Schramm, and G. Kullmer, “Further Development of 3D Crack Growth Simulation Program to Include Contact Loading Situations,”10.3390/app12157557__Applied Sciences, vol. 12, no. 15, Art. no. 7557, 2022, doi:10.3390/app12157557 .

X. Ju, R. Mahnken, Y. Xu, and L. Liang, “NTFA-enabled goal-oriented adaptive space–time finite elements for micro-heterogeneous elastoplasticity problems,”10.1016/j.cma.2022.115199__Computer Methods in Applied Mechanics and Engineering, vol. 398, Art. no. 115199, 2022, doi:10.1016/j.cma.2022.115199 .