S. Althoff, “The Condemnation of Hate and the Violence of the Status Quo,” https://doi.org/10.1215/17432197-10969201__Cultural Politics, vol. 20, no. 1, pp. 45–59, 2024, doi: https://doi.org/10.1215/17432197-10969201 .
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C. Stinner and M. Winkler, “A critical exponent in a quasilinear Keller–Segel system with arbitrarily fast decaying diffusivities accounting for volume-filling effects,”10.1007/s00028-024-00954-x__Journal of Evolution Equations, vol. 24, no. 2, Art. no. 26, 2024, doi:10.1007/s00028-024-00954-x .
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Y. Wang and M. Winkler, “An interpolation inequality involving $Lg L$ spaces and application to the characterization of blowup behavior in a twodimensional Keller–Segel–Navier–Stokes system,”10.1112/jlms.12885__Journal of the London Mathematical Society, vol. 109, no. 3, 2024, doi:10.1112/jlms.12885 .
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N. F. Tolksdorf, E. Wildt, and K. Rohlfing, “Preschoolers’ Interactions with Social Robots: Investigating the Potential for Eliciting Metatalk and Critical Technological Thinking,”10.1145/3610978.3640654__in Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, pp. 1053–1057, doi:10.1145/3610978.3640654 .
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B. Osswald and C. Sureth-Sloane, Do Country Risk Factors Attenuate the Effect of Tax Loss Incentives on Corporate Risk-Taking?, vol. TRR 266 Accounting for Transparency Working Paper Series No. 28. 2024.
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M. Meyer, T. Kenter, L. Petrica, K. O’Brien, M. Blott, and C. Plessl, “Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL,” arXiv:2403.18374. 2024.
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O. L. Preuß, J. Rook, and H. Trautmann, “On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems,” in Applications of Evolutionary Computation, Cham: Springer Nature Switzerland, 2024.
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B. Delarue, D. Monclair, and A. Sanders, “Locally homogeneous Axiom A flows I: projective Anosov subgroups and  exponential mixing,” arXiv:2403.14257. 2024.
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arXiv: 2403.14257

B. Delarue and J. Hilgert, “Quantum resonances and scattering poles of classical rank one locally  symmetric spaces,” arXiv:2403.14426. 2024.
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arXiv: 2403.14426

F. Philipp, M. Schaller, K. Worthmann, S. Peitz, and F. Nüske, “Error bounds for kernel-based approximations of the Koopman operator,”10.1016/j.acha.2024.101657__Applied and Computational Harmonic Analysis , vol. 71, Art. no. 101657, 2024, doi:10.1016/j.acha.2024.101657 .
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Umesh10.1080/08856257.2023.2195075__Sharma10.1080/08856257.2023.2195075__et al., “Measuring collective efficacy for inclusion in a global context,”10.1080/08856257.2023.2195075__European Journal of Special Needs Education, vol. 39, no. 2, pp. 167–184, 2024, doi:10.1080/08856257.2023.2195075 .
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J. Hälterlein, “Governing autonomies. Imagining responsible AI in the European armament project ‘Future Combat Air System,’” in The Reality of Autonomous Weapon Systems, T. C. Bächle and J. Bareis, Eds. Bristol University Press.
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S. Gschwind, S. Hohmann, A. Müller, J. Nordine, and T.-E. Riesen, “The Stellarium Gornergrat: Astrophysics with your own Data,”10.1088/1742-6596/2727/1/012011__Journal of Physics: Conference Series, vol. 2727, no. 1, Art. no. 012011, 2024, doi:10.1088/1742-6596/2727/1/012011 .
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M. T. Meyer and A. Schindlmayr, “Derivation of Miller’s rule for the nonlinear optical susceptibility of a quantum anharmonic oscillator,”10.1088/1361-6455/ad369c__Journal of Physics B: Atomic, Molecular and Optical Physics, vol. 57, no. 9, Art. no. 095001, 2024, doi:10.1088/1361-6455/ad369c .
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M. Lass, T. Kenter, C. Plessl, and M. Brehm, “Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations,”10.3390/e26040322__Entropy, vol. 26, no. 4, Art. no. 322, 2024, doi:10.3390/e26040322 .
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S. Gharibian and J. Kamminga, “BQP, meet NP: Search-to-decision reductions and approximate counting.”
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arXiv: 2401.03943

K. Olgu, T. Kenter, J. Nunez-Yanez, and S. Mcintosh-Smith, “Optimisation and Evaluation of Breadth First Search with oneAPI/SYCL on Intel FPGAs: from Describing Algorithms to Describing Architectures,”10.1145/3648115.3648134__2024, doi:10.1145/3648115.3648134 .
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A. Amiri, M. Tavana, and H. Arman, “An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction,”10.1016/j.iot.2023.101027__Internet of Things, vol. 25, Art. no. 101027, 2024, doi:10.1016/j.iot.2023.101027 .
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E. Mahmoodi, M. Fathi, M. Tavana, M. Ghobakhloo, and A. H. C. Ng, “Data-driven simulation-based decision support system for resource allocation in industry 4.0 and smart manufacturing,”10.1016/j.jmsy.2023.11.019__Journal of Manufacturing Systems, vol. 72, pp. 287–307, 2024, doi:10.1016/j.jmsy.2023.11.019 .
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M. Tavana and S. Sorooshian, “A systematic review of the soft computing methods shaping the future of the metaverse,”10.1016/j.asoc.2023.111098__Applied Soft Computing, vol. 150, Art. no. 111098, 2024, doi:10.1016/j.asoc.2023.111098 .
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