D. Hasler, B. Hinrichs, and O. Siebert, “Non-Fock ground states in the translation-invariant Nelson model revisited non-perturbatively,”10.1016/j.jfa.2024.110319__Journal of Functional Analysis, vol. 286, no. 7, Art. no. 110319, 2024, doi:10.1016/j.jfa.2024.110319 .

M. Khedkar and E. Bodden, “Toward an Android Static Analysis Approach for Data Protection,” presented at the 9th International Conference on Mobile Software Engineering and Systems 2024, Lisbon, Portugal, 2024.

A.-K. Wickert, M. Schlichtig, M. Vogel, L. Winter, M. Mezini, and E. Bodden, Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability. 2024.

D. Brennecken, “Hankel transform, &;mml:math xmlns:mml="http://www..org/1998/Math/MathML" altimg="si1.svg"&;&;mml:mi mathvariant="script"&;K&;/mml:mi&;&;/mml:math&;-Bessel functions and zeta distributions in the Dunkl setting,”10.1016/j.jmaa.2024.128125__Journal of Mathematical Analysis and Applications, vol. 535, no. 2, Art. no. 128125, 2024, doi:10.1016/j.jmaa.2024.128125 .

C.-J. Haake and M. Schneider, “Playing games with QCA: Measuring the explanatory power of single conditions with the Banzhaf index,” Journal of International Management, vol. 30, no. 2, 2024.

A. P. Shivarpatna Venkatesh, J. Wang, L. Li, and E. Bodden, “Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis,”10.48550/ARXIV.2301.04419__presented at the IEEE SANER 2023 (International Conference on Software Analysis, Evolution and Reengineering), 2023, doi:10.48550/ARXIV.2301.04419 .

T. Black, M. Fuest, J. Lankeit, and M. Mizukami, “Possible points of blow-up in chemotaxis systems with spatially heterogeneous logistic source,”10.1016/j.nonrwa.2023.103868__Nonlinear Analysis: Real World Applications, vol. 73, Art. no. 103868, 2023, doi:10.1016/j.nonrwa.2023.103868 .

C. Link, K. Malena, S. Gausemeier, and A. Trächtler, “Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios,”10.5220/0011987600003479__presented at the 9th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2023), Prague, Czech Republic, 2023, doi:10.5220/0011987600003479 .

B. Hinrichs, D. W. Janssen, and J. Ziebell, “Super-Gaussian decay of exponentials: A sufficient condition,”10.1016/j.jmaa.2023.127558__Journal of Mathematical Analysis and Applications, vol. 528, no. 1, Art. no. 127558, 2023, doi:10.1016/j.jmaa.2023.127558 .

S. Ober-Blöbaum and C. Offen, “Variational Learning of Euler–Lagrange Dynamics from Data,”10.1016/j.cam.2022.114780__Journal of Computational and Applied Mathematics, vol. 421, p. 114780, 2023, doi:10.1016/j.cam.2022.114780 .

R. McLachlan and C. Offen, “Backward error analysis for conjugate symplectic methods,”10.3934/jgm.2023005__Journal of Geometric Mechanics, vol. 15, no. 1, pp. 98–115, 2023, doi:10.3934/jgm.2023005 .

C. Soyka, M. Ullrich, M. Striewe, and N. Schaper, “Comparison of Required Competences and Task Material in Modeling Education,”10.18417/EMISA.18.7__Enterprise Modelling and Information Systems Architectures, vol. 18, Art. no. 7, 2023, doi:10.18417/EMISA.18.7 .

K. Schönhärl, F. Schotters, and G. Thiemeyer, “Editorial,” Werkstatt Geschichte, vol. 88, 2023.

K. Schönhärl, F. Schotters, and G. Thiemeyer, Eds., Reden über Geld, vol. 88. 2023.

R. P. Prager et al., “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features,”10.1145/3594805.3607136__in Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023, pp. 129–139, doi:10.1145/3594805.3607136 .

R.-S. Götte and J. Timmermann, “Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF,” in IFAC-PapersOnLine, Yokohama, Japan, 2023, vol. 56, no. 2, pp. 869–874.

J. Bossek and D. Sudholt, “Runtime Analysis of Quality Diversity Algorithms,”10.1145/3583131.3590383__in Proceedings of the Genetic and Evolutionary Computation Conference, 2023, pp. 1546–1554, doi:10.1145/3583131.3590383 .

A. Marrero, E. Segredo, E. Hart, J. Bossek, and A. Neumann, “Generating Diverse and Discriminatory Knapsack Instances by Searching for Novelty in Variable Dimensions of Feature-Space,”10.1145/3583131.3590504__in Proceedings of the Genetic and Evolutionary Computation Conference, 2023, pp. 312–320, doi:10.1145/3583131.3590504 .

J. Bossek and D. Sudholt, “Do Additional Target Points Speed Up Evolutionary Algorithms?,”10.1016/j.tcs.2023.113757__Theoretical Computer Science, p. 113757, 2023, doi:10.1016/j.tcs.2023.113757 .

K. Brennig and O. Müller, “More Isn’t Always Better – Measuring Customers’ Preferences for Digital Process Transparency,” presented at the  56th Hawaii International Conference on System Sciences, Lhain, 2023.