TY - JOUR A1 - Rizun, Nina A1 - Revina, Aleksandra A1 - Edelmann, Noella T1 - Text analytics for co-creation in public sector organizations: a literature review-based research framework JF - Artificial Intelligence Review N2 - The public sector faces considerable challenges that stem from increasing external and internal demands, the need for diverse and complex services, and citizens' lack of satisfaction and trust in public sector organisations (PSOs). An alternative to traditional public service delivery is the co-creation of public services. Data analytics has been fueled by the availability of immense amounts of data, including textual data, and techniques to analyze data, so it has immense potential to foster data-driven solutions for the public sector. In the paper, we systematically review the existing literature on the application of Text Analytics (TA) techniques on textual data that can support public service co-creation. In this review, we identify the TA techniques, the public services and the co-creation phase they support, as well as envisioned public values for the stakeholder groups. On the basis of the analysis, we develop a Research Framework that helps to structure the TA-enabled co-creation process in PSOs, increases awareness among public sector organizations and stakeholders on the significant potential of TA in creating value, and provides scholars with some avenues for further research. Y1 - 2025 U6 - https://doi.org/10.1007/s10462-025-11112-1 SP - 1 EP - 45 ER - TY - JOUR A1 - Rizun, Nina A1 - Revina, Aleksandra A1 - Meister, Vera G. T1 - Assessing business process complexity based on textual data: Evidence from ITIL IT ticket processing JF - Business Process Management Journal KW - Business process management KW - Business process complexity KW - Natural language processing KW - Situation awareness KW - Decision support KW - ITIL IT ticket Y1 - 2021 U6 - https://doi.org/10.1108/BPMJ-04-2021-0217 SN - 1758-4116 VL - 27 IS - 7 SP - 1966 EP - 1998 PB - Emerald ER - TY - JOUR A1 - Rojek, Lukasz A1 - Islam, Saiful A1 - Hartmann, Michael A1 - Creutzburg, Reiner T1 - IoT-Based Real-Time Monitoring System for a Smart Energy House JF - Electronic Imaging KW - AI KW - Raspberry Pi KW - low cost sensors KW - monitoring KW - networking KW - real-time KW - smart energy house KW - smart home Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-038 SN - 2470-1173 SP - 38-1 EP - 38-10 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Rudenko, Maryia A1 - Gaponenko, Nikolai A1 - Litvinov, Vladimir A1 - Ermachikhin, Alexander A1 - Chubenko, Eugene A1 - Borisenko, Victor A1 - Mukhin, Nikolay A1 - Radyush, Yuriy A1 - Tumarkin, Andrey A1 - Gagarin, Alexander T1 - Structural Dependent Eu3+ Luminescence, Photoelectric and Hysteresis Effects in Porous Strontium Titanate JF - Materials KW - europium luminescence KW - poporous film KW - strontium titanate KW - resistive switching hysteresis KW - photocurrent Y1 - 2020 U6 - https://doi.org/10.3390/ma13245767 VL - 13 IS - 24 PB - MDPI ER - TY - JOUR A1 - Ruzankina, Iuliia A1 - Mukhin, Nikolay A1 - Mermoul, Ali A1 - Parfenov, Vadim A1 - Fron, Eduard A1 - Ferrini, Gabriele T1 - Surface optical sensitivity enhanced by a single dielectric microsphere JF - Optics Express N2 - Single dielectric microspheres can manipulate light focusing and collection to enhance optical interaction with surfaces. To demonstrate this principle, we experimentally investigate the enhancement of the Raman signal collected by a single dielectric microsphere, with a radius much larger than the exciting laser spot size, residing on the sample surface. The absolute microsphere-assisted Raman signal from a single graphene layer measured in air is more than a factor of two higher than that obtained with a high numerical aperture objective. Results from Mie’s theory are used to benchmark numerical simulations and an analytical model to describe the isolated microsphere focusing properties. The analytical model and the numerical simulations justify the Raman signal enhancement measured in the microsphere-assisted Raman spectroscopy experiments. Y1 - 2022 UR - https://doi.org/10.1364/OE.472720 VL - 30 IS - 24 SP - 43021 EP - 43036 PB - Optica ER - TY - JOUR A1 - Sasaki, Felix T1 - Künstliche Intelligenz in der Ausbildung von Wissensarbeiterinnen und Wissensarbeitern JF - API : Ausbilden, Publizieren, Informieren - studentisches Magazin der HAW Hamburg KW - Künstliche Intelligenz KW - Wissensarbeiter KW - Ausbildung KW - Curricula KW - Journalisten KW - Übersetzer KW - Bibliothekare Y1 - 2021 U6 - https://doi.org/10.15460/apimagazin.2021.2.1.65 SN - 2699-6693 VL - 2 IS - 1 SP - 1 EP - 16 PB - Hamburg University Press ER - TY - JOUR A1 - Sata, Sai Preetham A1 - Stannarius, Ralf A1 - Puzyrev, Dmitry T1 - Criteria for dynamical clustering in permanently excited granular gases: comparison and estimation with machine learning approaches JF - Granular Matter N2 - When granular gases in microgravity are continuously excited mechanically, spatial inhomogeneities of the particle distribution can emerge. At a sufficiently large overall packing fraction, a significant share of particles tend to concentrate in strongly overpopulated regions, so-called clusters, far from the excitation sources. This dynamical clustering is caused by a complex balance between energy influx and dissipation. The mean number density of particles, the geometry of the container, and the excitation strength influence cluster formation. A quantification of clustering thresholds is not trivial. We generate ‘synthetic’ data sets by Discrete Element Method simulations of frictional spheres in a cuboid container and apply established criteria to classify the local packing fraction profiles. Machine learning approaches that predict dynamic clustering from known system parameters on the basis of classical test criteria areoposed and tested. It avoids the necessity of complex numerical simulations. Y1 - 2025 U6 - https://doi.org/10.1007/s10035-025-01560-5 VL - 27 IS - 4 PB - Springer ER - TY - JOUR A1 - Scharf, Gili A1 - Guterding, Daniel A1 - Hen, Bar A1 - Sarte, Paul M. A1 - Ortiz, Brenden R. A1 - Rozenberg, Gregory Kh. A1 - Holder, Tobias A1 - Wilson, Stephen D. A1 - Jeschke, Harald O. A1 - Ron, Alon T1 - Pressure tuning of intrinsic and extrinsic sources to the anomalous Hall effect in CrGeTe3 JF - Physical Review Research N2 - The integrated Berry curvature is a geometric property that has dramatic implications for material properties. This study investigates the integrated Berry curvature and other contributions to the anomalous Hall effect in CrGeTe3 as a function of pressure. The anomalous Hall effect is absent in the insulating phase of CrGeTe3 and evolves with pressure in a domelike fashion as pressure is applied. The dome's edges are characterized by Fermi surface deformations, manifested as mixed electron and hole transport. We corroborate the presence of bipolar transport using ab initio calculations, which also predict a nonmonotonic behavior of the Berry curvature as a function of pressure. Quantitative discrepancies between our calculations and experimental results indicate that additional scattering mechanisms, which are also strongly tuned by pressure, contribute to the anomalous Hall effect in CrGeTe3. Y1 - 2025 U6 - https://doi.org/10.1103/PhysRevResearch.7.013127 VL - 7 IS - 1 SP - 1 EP - 8 PB - American Physical Society ER - TY - JOUR A1 - Schnitzer, Julia T1 - Generative Design For Creators – The Impact Of Data Driven Visualization And Processing In The Field Of Creative Business JF - Electronic Imaging Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-022 SN - 2470-1173 SP - 022-1 EP - 022-6 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schumann, Sophia A1 - Stoilova, Velizara A1 - Bortoletto, Enrico A1 - Piva, Elisabetta A1 - Pacchini, Sara A1 - Mozzi, Gloria A1 - Jechow, Andreas A1 - Marion, Andrea A1 - Bertotto, Daniela A1 - Erlandson, Ann A1 - Hölker, Franz A1 - Greenberg, Larry A1 - Santovito, Gianfranco T1 - Impact of artificial light at night (ALAN) on cardiac function and acute oxidative stress physiology in migratory brown trout smolts JF - Environmental Pollution N2 - Light pollution poses significant ecological challenges for nocturnal animals reliant on natural light for migration, orientation, and circadian rhythms. The physiological effects of abrupt exposure to artificial light at night (ALAN) on migratory fish, such as the light experienced passing near illuminated infrastructures, remain poorly understood. This study investigates the physiological responses of brown trout (Salmo trutta) smolts to low-intensity (0.02 lx) and short-term (30 s) ALAN, simulating nocturnal migration light conditions near illuminated bridges. To evaluate the influence of social dynamics, trout were tested individually (solitary) or in groups of six. Using continuous cardiac monitoring with data storage tags, alongside analyses of oxidative stress markers and adenylate kinase (AK) activity in the heart, we identified distinct patterns of physiological responses. Solitary fish exhibited significant heart rate variability (HRV) increases following repeated ALAN exposure, suggesting impaired physiological regulation under repeated ALAN exposure. In contrast, trout in groups displayed consistently lower HRV over the entire 90-min experiment, implying that social dynamics likely influenced a sustained oxidative stress response, corroborated by increased AK activity. Oxidative stress markers further reflected social effects, with significant upregulation of key antioxidant enzymes (sod1, sod2, gpx1, gpx4) and elevated lipid peroxidation, identifying lipids as primary oxidative targets. The observed divergence between superoxide dismutase (SOD) activity and sod gene expression suggests adaptive post-transcriptional regulation to maintain redox balance under combined environmental and social stress. These findings reveal that social dynamics under ALAN can amplify physiological stress, potentially affecting migratory outcomes. Y1 - 2025 U6 - https://doi.org/10.1016/j.envpol.2025.126593 IS - 381 SP - 1 EP - 9 PB - Elsevier ER -