@article{OseevLucklumZubtsovetal.2017, author = {Oseev, Aleksandr and Lucklum, Ralf and Zubtsov, Mikhail and Schmidt, Marc-Peter and Mukhin, Nikolay V. and Hirsch, Soeren}, title = {SAW-Based Phononic Crystal Microfluidic Sensor—Microscale Realization of Velocimetry Approaches for Integrated Analytical Platform Applications}, series = {Sensors}, volume = {17}, journal = {Sensors}, number = {10}, doi = {10.3390/s17102187}, pages = {2187}, year = {2017}, language = {en} } @article{PfeifferDilipSuryawanshietal.2021, author = {Pfeiffer, Thomas and Dilip, Khadse Himanshu and Suryawanshi, Raunak and Kishnamurthy, Gnana Swaroop and T{\´e}llez, Batcheva Dom{\´i}nguez and Creutzburg, Reiner and Hartmann, Michael}, title = {Airflow visualization and air purifier positioning optimization in potentially COVID-19 contaminated classrooms}, series = {Electronic Imaging}, journal = {Electronic Imaging}, publisher = {Society for Imaging Science and Technology}, address = {Springfield, VA}, issn = {2470-1173}, doi = {10.2352/ISSN.2470-1173.2021.3.MOBMU-039}, pages = {39-1 -- 39-15}, year = {2021}, language = {en} } @article{PilgermannBocklischCreutzburg2020, author = {Pilgermann, Michael and Bocklisch, Thomas and Creutzburg, Reiner}, title = {Conception and implementation of a course for professional training and education in the field of IoT and smart home security}, series = {Electronic Imaging}, journal = {Electronic Imaging}, publisher = {Society for Imaging Science and Technology}, issn = {2470-1173}, doi = {10.2352/ISSN.2470-1173.2020.3.MOBMU-277}, pages = {277-1 -- 277-8}, year = {2020}, language = {en} } @article{PilgermannWerthCreutzburg2020, author = {Pilgermann, Michael and Werth, S{\"o}ren and Creutzburg, Reiner}, title = {Towards sector specific security operation}, series = {Electronic Imaging}, journal = {Electronic Imaging}, publisher = {Society for Imaging Science and Technology}, address = {Springfield, VA}, issn = {2470-1173}, doi = {10.2352/ISSN.2470-1173.2020.3.MOBMU-254}, pages = {254-1 -- 254-10}, year = {2020}, language = {en} } @article{PreethamSataStannariusPuzyrev2025, author = {Preetham Sata, Sai and Stannarius, Ralf and Puzyrev, Dmitry}, title = {Machine learning for prediction of dynamical clustering in granular gases}, series = {EPJ Web of Conferences}, volume = {340}, journal = {EPJ Web of Conferences}, editor = {Alam, M. and Das, S.L. and Bose, M. and Murthy, T.G. and Chikkadi, V. and Singh, A. and Luding, S.}, publisher = {EDP Sciences}, doi = {10.1051/epjconf/202534012012}, year = {2025}, abstract = {Continuously excited dense granular gases in microgravity can develop spatial inhomogeneities of the particle distribution. Dynamical clustering is a phenomenon where a significant share of particles concentrate in strongly overpopulated regions. It is caused by a complex interplay between the energy influx and dissipation in collisions. The overall packing fraction, container geometry, and excitation parameters influence the gas-cluster transition. We perform Discrete Element Method (DEM) simulations for frictional spheres in a cuboid container and apply statistical criteria to the packing fraction profiles. Machine learning (ML) methods are used to study the dependence of the gas-cluster transition on system parameters. It is a promising alternative to predict the state of the system without the need for the time-consuming DEM simulations. We identify the best models for predicting the dynamical clustering of frictional spheres in a specific experimental geometry.}, language = {en} } @article{PrinzOrlowskiBecketal.2025, author = {Prinz, Alexander and Orlowski, Katja and Beck, Eberhard and Witte, Kerstin}, title = {Serious Games for Seniors With Dementia: A Pilot Study}, series = {Journal of Applied Gerontology}, volume = {2025}, journal = {Journal of Applied Gerontology}, publisher = {SAGE}, doi = {10.1177/07334648251350846}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:522-opus4-33440}, pages = {1 -- 11}, year = {2025}, abstract = {Dementia, marked by cognitive decline, significantly impacts daily life. With global prevalence rising, traditional treatments manage symptoms but have side effects and offer no cure. Non-pharmacological interventions, like serious games, are gaining importance. This study assesses the feasibility and benefits of serious games for people with mild to moderate dementia over a 10-week intervention. Sixty-one patients were recruited, with 35 completing the study. The intervention included six games focusing on physical and cognitive training. Outcome measures were motor function, cognitive assessments, quality of life, and depression. Results showed significant improvements in dynamic balance (p = .013) but no significant changes in other measures. The findings suggest that serious games are feasible and can improve motor functions like balance. However, short intervention periods may limit their impact on cognitive function and quality of life. Longer interventions and personalized game designs are recommended for greater benefits.}, language = {en} } @article{PtashnikMikhailovYastrebovetal.2017, author = {Ptashnik, Sergey V. and Mikhailov, Anatoliy K. and Yastrebov, Alexander V. and Petrov, Peter K. and Liu, Wei and McN Alford, Neil and Hirsch, Soeren and Kozyrev, Andrey B.}, title = {Ferroelectric thin film acoustic devices with electrical multiband switching ability}, series = {Scientific Reports}, volume = {7}, journal = {Scientific Reports}, number = {15289}, doi = {10.1038/s41598-017-14895-8}, year = {2017}, language = {en} } @article{PufalShunBenAmmaretal.2023, author = {Pufal, Jakob and Shun, Hanna and Ben Ammar, Rami and Jeckstadt, Janik and Schultheiß, John}, title = {The Great Shutdown}, doi = {10.25933/opus4-2894}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:522-opus4-28942}, pages = {II, 17, VI Seiten}, year = {2023}, abstract = {This research aims to examine the potential impact of a military escalation of the China-Taiwan conflict on global economies, with a particular focus on the microchip production industry in Taiwan. The academic paper will analyze the current economic ties between Taiwan and other countries, as well as the potential consequences of a disruption in trade and production caused by a military conflict. The research will also examine the role of Taiwan's microchip industry in the global supply chain and its potential vulnerability to a disruption in the event of a military escalation. Additionally, this scientific paper will explore the possible economic responses of other countries and the international community to a military escalation of the China-Taiwan conflict. The research will use a combination of the systematic literature review and the scenario technique to demonstrate potential impact of a military escalation of the China-Taiwan conflict on global economies, with a specific focus on the microchip production industry in Taiwan.}, subject = {Weltwirtschaft}, language = {en} } @article{PuzyrevTorstenHarthetal.2024, author = {Puzyrev, Dmitry and Torsten, Torsten and Harth, Kirsten and Stannarius, Ralf}, title = {Cooling of a granular gas mixture in microgravity}, series = {npj microgravity}, volume = {10}, journal = {npj microgravity}, number = {1}, publisher = {Springer}, address = {Brandenburg an der Havel}, doi = {10.1038/s41526-024-00369-5}, pages = {1 -- 9}, year = {2024}, abstract = {Granular gases are fascinating non-equilibrium systems with interesting features such as spontaneous clustering and non-Gaussian velocity distributions. Mixtures of different components represent a much more natural composition than monodisperse ensembles but attracted comparably little attention so far. We present the observation and characterization of a mixture of rod-like particles with different sizes and masses in a drop tower experiment. Kinetic energy decay rates during granular cooling and collision rates were determined and Haff's law for homogeneous granular cooling was confirmed. Thereby, energy equipartition between the mixture components and between individual degrees of freedom is violated. Heavier particles keep a slightly higher average kinetic energy than lighter ones. Experimental results are supported by numerical simulations.}, language = {de} } @article{PuzyrevTrittelHarthetal.2025, author = {Puzyrev, Dmitry and Trittel, Torsten and Harth, Kirsten and Sata, Sai Preetham and Stannarius, Ralf and Cruz Hidalgo, Ra{\´u}l}, title = {AI-aided visual data analysis for granular gases: Complex particles, high density, and other challenges}, series = {EPJ Web of Conferences}, volume = {340}, journal = {EPJ Web of Conferences}, editor = {Alam, M. and Das, S.L. and Bose, M. and Murthy, T.G. and Chikkadi, V. and Singh, A. and Luding, S.}, publisher = {EDP Sciences}, doi = {10.1051/epjconf/202534012013}, year = {2025}, abstract = {Microgravity experiments with three-dimensional (3D) granular gases, i.e., ensembles of freemoving macroscopic particles which collide inelastically, produce large amounts of stereo video footage which require processing and analysis. The main steps of data treatment are particle detection, 3D matching and tracking in stereoscopic views, and quantification of ensemble statistical properties such as, e.g. mean kinetic energy or collision processes. Frequent overlapping or clustering of particles and their complicated movement patterns require smart software solutions. In recent years, Artificial Intelligence/Machine Learning (AI/ML) methods were successfully used for analysis of granular systems. We have applied such techniques to the granular gases of rod-like particles and developed a software tool which enables a full cycle of semi-automatic experimental data analysis. The approach is now tested on more complex, non-convex particles, shaped as 3D crosses (hexapods). Another challenge is optical analysis of dense granular gases, where individual particles cannot be tracked. We present a preliminary result of application of an ML method for number density profiles extraction in VIP-Gran experiment with dense ensemble of rod-like particles.}, language = {en} }