C. J. Gölz et al., “Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults,”10.1007/s11571-020-09656-9__Cognitive Neurodynamics, vol. 15, no. 5, pp. 847–859, 2021, doi:10.1007/s11571-020-09656-9 .
LibreCat: /record/30115
DOI: 10.1007/s11571-020-09656-9

C. J. Gölz et al., “Classification of visuomotor tasks based on electroencephalographic data depends on age-related differences in brain activity patterns,”10.1016/j.neunet.2021.04.029__Neural Networks, vol. 142, pp. 363–374, 2021, doi:10.1016/j.neunet.2021.04.029 .
LibreCat: /record/30114
DOI: 10.1016/j.neunet.2021.04.029

W. Keil, K. Zhao, A. Oswald, W. Bremser, C. Schmidt, and H. Hintze-Bruening, “Thermostable water reservoirs in the interlayer space of a sodium hectorite clay through the intercalation of ;3-aminopropyl(dimethyl)ethoxysilane in toluene,”10.1039/d1cp03321b__Physical Chemistry Chemical Physics, vol. 24, no. 1, pp. 477–487, 2021, doi:10.1039/d1cp03321b .
LibreCat: /record/35326
DOI: 10.1039/d1cp03321b

B. Hämisch and K. Huber, “Mechanism and equilibrium thermodynamics of H- and J-aggregate formation from pseudo isocyanine chloride in water,”10.1039/d1sm00979f__Soft Matter, vol. 17, no. 35, pp. 8140–8152, 2021, doi:10.1039/d1sm00979f .
LibreCat: /record/41817
DOI: 10.1039/d1sm00979f

D. Hense et al., “Self-Assembled Fibrinogen Hydro- and Aerogels with Fibrin-like 3D Structures,”10.1021/acs.biomac.1c00489__Biomacromolecules, vol. 22, no. 10, pp. 4084–4094, 2021, doi:10.1021/acs.biomac.1c00489 .
LibreCat: /record/41818
DOI: 10.1021/acs.biomac.1c00489

M. Wagner et al., “Multiresponsive Polymer Nanoparticles Based on Disulfide Bonds,”10.1021/acs.macromol.1c00299__Macromolecules, vol. 54, no. 6, pp. 2899–2911, 2021, doi:10.1021/acs.macromol.1c00299 .
LibreCat: /record/41816
DOI: 10.1021/acs.macromol.1c00299

B. Hämisch, R. Pollak, S. Ebbinghaus, and K. Huber, “Thermodynamic Analysis of the SelfAssembly of Pseudo Isocyanine Chloride in the Presence of Crowding Agents,”10.1002/syst.202000051__ChemSystemsChem, vol. 3, no. 3, 2021, doi:10.1002/syst.202000051 .
LibreCat: /record/41815
DOI: 10.1002/syst.202000051

C. Goelz et al., “Classification of visuomotor tasks based on electroencephalographic data depends on age-related differences in brain activity patterns,”10.1016/j.neunet.2021.04.029__Neural Networks, vol. 142, pp. 363–374, 2021, doi:10.1016/j.neunet.2021.04.029 .
LibreCat: /record/31400
DOI: 10.1016/j.neunet.2021.04.029

S. Vieluf et al., “Twenty-four-hour patterns in electrodermal activity recordings of patients with and without epileptic seizures.,” Epilepsia, vol. 62, no. 4, pp. 960–972, 2021.
LibreCat: /record/31698
PMID: 33619751

M. Halle et al., “Exercise and sports after COVID-19-Guidance from a clinical perspective.,” Transl Sports Med, vol. 4, no. 3, pp. 310–318, 2021.
LibreCat: /record/31695
PMID: 34230908

E. Bonke, J. Southard, T. Buckley, C. Reinsberger, I. Koerte, and D. Howell, “The effects of repetitive head impacts on postural control: A systematic review.,” J Sci Med Sport, vol. 24, no. 3, pp. 247–257, 2021.
LibreCat: /record/31699
PMID: 32948449

V. Krutsch et al., “Head injuries in professional football (soccer): Results of video analysis verified by an accident insurance registry.,” PLoS One, vol. 16, no. 8, p. e0255695, 2021.
LibreCat: /record/31704
PMID: 34379643

C. Brumann, M. Kukuk, and C. Reinsberger, “Evaluation of Open-Source and Pre-Trained Deep Convolutional Neural Networks Suitable for Player Detection and Motion Analysis in Squash. ,” Sensors (Basel), vol. 21, no. 13, p. 4550, 2021.
LibreCat: /record/31706
PMID: 34283127

V. Sukharnikov, P. Sharapova, and O. Tikhonova, “Managing spectral properties and Schmidt mode content of squeezed vacuum light using sum-frequency converter,”10.1016/j.optlastec.2020.106769__Optics &;amp; Laser Technology, vol. 136, Art. no. 106769, 2021, doi:10.1016/j.optlastec.2020.106769 .
LibreCat: /record/40379
DOI: 10.1016/j.optlastec.2020.106769

O. Müller, M. Caron, M. Döring, T. Heuwinkel, and J. Baumeister, “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data,” presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.
LibreCat: /record/24547

D. A. Sherman, T. Lehmann, J. Baumeister, D. R. Grooms, and G. E. Norte, “Somatosensory perturbations influence cortical activity associated with single-limb balance performance,”10.1007/s00221-021-06260-z__Experimental Brain Research, vol. 240, no. 2, pp. 407–420, 2021, doi:10.1007/s00221-021-06260-z .
LibreCat: /record/32437
DOI: 10.1007/s00221-021-06260-z

K. H. Luo et al., “Quantum optical coherence: From linear to nonlinear interferometers,”10.1103/physreva.104.043707__Physical Review A, 2021, doi:10.1103/physreva.104.043707 .
LibreCat: /record/26889
DOI: 10.1103/physreva.104.043707

C. Lüders et al., “Quantifying Quantum Coherence in Polariton Condensates,”10.1103/prxquantum.2.030320__PRX Quantum, 2021, doi:10.1103/prxquantum.2.030320 .
LibreCat: /record/26283
DOI: 10.1103/prxquantum.2.030320

D. Bagrets et al., “Probing the topological Anderson transition with quantum walks,”10.1103/physrevresearch.3.023183__Physical Review Research, 2021, doi:10.1103/physrevresearch.3.023183 .
LibreCat: /record/26284
DOI: 10.1103/physrevresearch.3.023183

Y. Xue et al., “Split-ring polariton condensates as macroscopic two-level quantum systems,”10.1103/physrevresearch.3.013099__Physical Review Research, vol. 3, no. 1, Art. no. 013099, 2021, doi:10.1103/physrevresearch.3.013099 .
LibreCat: /record/21362
DOI: 10.1103/physrevresearch.3.013099