TY - JOUR A1 - Rizun, Nina A1 - Bordean, Ovidiu Niculae A1 - Nikiforova, Anastasija A1 - Beleiu, Ioana Natalia A1 - Revina, Aleksandra T1 - Generative AI in higher education: Ethical and behavioral factors influencing students’ intentions to use ChatGPT JF - Computers and Education Open Y1 - 2026 U6 - https://doi.org/10.1016/j.caeo.2026.100336 VL - 10 SP - 1 EP - 16 PB - Elsevier ER - TY - CHAP A1 - Kristal, Samuel A1 - Naguleswaran, Piruntha T1 - Der Einfluss von Rebranding auf den Markenwert im Kontext von künstlicher Intelligenz: Eine bibliometrisch-systematische Analyse T2 - Handbuch Innovatives Marketing N2 - In Zeiten rasanter technologischer Entwicklungen stellt sich die Frage, welchen Einfluss Rebranding auf den Markenwert hat, insbesondere im Kontext künstlicher Intelligenz. Während Rebranding traditionell als strategische Maßnahme zur Anpassung an veränderte Marktbedingungen verstanden wurde, eröffnet die Integration von KI neue Möglichkeiten der Automatisierung, Personalisierung und datengetriebenen Entscheidungsfindung. Der vorliegende Beitrag beleuchtet die Rolle von KI im Rebranding-Prozess und untersucht, inwiefern KI-gestützte und menschliche Strategien den Markenwert beeinflussen. Durch eine bibliometrische und systematische Literaturanalyse wird der aktuelle Forschungsstand aufgearbeitet, zentrale Mechanismen identifiziert und zukünftiger Forschungsbedarf abgeleitet. Abschließend werden Implikationen für Wissenschaft und Praxis diskutiert, um eine fundierte Grundlage für den strategischen Einsatz von KI im Markenmanagement zu schaffen. Y1 - 2026 U6 - https://doi.org/10.1007/978-3-658-46709-8_99-1 SP - 1 EP - 19 PB - Springer CY - Wiesbaden ER - TY - JOUR A1 - Dickerson, Ashton L. A1 - Andreas, Jechow A1 - Nößler, Michelle A1 - Walles, Tim J. A1 - Berger, Stella A. A1 - Hölker, Franz A1 - Nejstgaard, Jens C. T1 - High-resolution in situ imaging reveals size-specific moonlight responses in zooplankton diel vertical migration JF - Scientific Reports N2 - Light is the primary cue driving zooplankton diel vertical migration (DVM), a strategy that balances predation risk with resource access. However, DVM is often oversimplified, with limited consideration of how light-driven risks and resource needs vary across taxa and life stages. This simplification is partly due to constraints on collecting high-resolution, size-resolved data —especially at night, when subtle shifts in illumination reshape nocturnal risk landscapes. To overcome these limitations, we deployed a high-resolution in situ modular Deep-focus Plankton Imager and an image-recognition approach to quantify fine scale DVM and body sizes of Cladocerans and Copepods in Lake Stechlin, Germany. Data was collected from day into night and across moonrise and was compared with environmental data from vertical profiling sondes. Typical DVM patterns emerged, with deeper daytime distributions, however, moonlight introduced additional behavioural complexity: larger individuals avoided illuminated layers, likely managing predation risk, while smaller individuals moved into these layers, possibly exploiting foraging opportunities and reduced risk. These light-mediated shifts were further shaped by ecological conditions; copepods tracked food-rich layers regardless of light levels at night, while cladocerans showed light-dependent responses to both temperature and food, such that light caused them to avoid otherwise favourable (warm, food-rich) layers. Our approach provides new insight into how zooplankton navigate nocturnal lightscapes, revealing size- and taxon-specific strategies. By establishing size-dependent responses to natural moonlight, this work provides a crucial baseline for predicting how artificial light at night may restructure zooplankton communities and destabilize freshwater food webs. Y1 - 2026 U6 - https://doi.org/10.1038/s41598-026-36105-0 VL - 16 IS - 1 SP - 1 EP - 14 PB - Nature ER - TY - BOOK A1 - Kraska, Martin T1 - Technische Mechanik mit SMath Studio N2 - Dieses Lehrbuch führt am Beispiel der Technischen Mechanik in die Nutzung der Mathematiksoftware SMath Studio für die Durchführung und Dokumentation technischer Berechnungen ein. Das für Privatanwender kostenlose SMath ist, ähnlich wie Mathcad, eine leistungsfähige Alternative zu Papier, Bleistift und Taschenrechner oder auch zu den bekannten Tabellenkalkulationsprogrammen. Das Buch nimmt Einsteiger an die Hand, behandelt aber auch Erweiterungen wie numerische Methoden und Computeralgebra. Mit Beispielen aus Statik, Festigkeitslehre und Dynamik wird das typische Themenspektrum der Technischen Mechanik in technischen Studiengängen, insbesondere im Maschinenbau, abgedeckt. Y1 - SN - 978-3-658-50591-2 U6 - https://doi.org/10.1007/978-3-658-50592-9 PB - Springer CY - Wiesbaden ER - TY - CHAP A1 - Daupayev, Nursultan A1 - Reber, Paul A1 - Bendyk, Ricky A1 - Engel, Christian A1 - Hirsch, Sören T1 - Data Reduction for Energy-Constrained Sensors via Event-Aware Sampling T2 - Konferenz: 2025 IEEE SENSORS, Vancouver, BC, Canada, 2025 N2 - Environmental monitoring plays a crucial role in analyzing environmental parameters and detecting anomalies. However, sensor systems work continuously, which results in constant energy consumption and data redundancy, especially for sensors with limited computing power and memory. In addition, installing and maintaining sensors in remote places creates additional challenges. An adaptive environmental sensing approach is developed to reduce data redundancy and energy consumption. A custom-designed sensor based on PIC16LF19156 microcontroller measures CO2, humidity and temperature simultaneously. The sensor is connected to a Raspberry Pi, where a signal processing algorithm is executed, aimed at reducing data redundancy, thereby increasing the energy efficiency of the system. The algorithm includes the discrete wavelet transform (DWT) to extract spectral features from the signals. A machine learning model trained on previous data estimates the daily variability of the signal and saves data labeled as SAVE (deviations) or SKIP (consistency). As a result, only the relevant intervals showing significant fluctuations are retained. The effectiveness of the proposed approach was evaluated by reconstructing the compressed signals and comparing them with the original data based on RMSE and MAE metrics, which confirms the insignificant loss of information. Y1 - 2025 SN - 979-8-3315-4467-6 U6 - https://doi.org/10.1109/SENSORS59705.2025.11330656 SN - 2168-9229 SP - 1 EP - 4 PB - IEEE ER - TY - BOOK A1 - Vollmer, Michael T1 - Optik und ihre Phänomene BT - Lichtspiele in der Natur: von Luftspiegelungen und Himmelsfarben bis in die Weiten des Alls N2 - Dieses Lehr-, Lern-, Fach- und Sachbuch präsentiert die Grundlagen der Optik in Theorie und ausführlich beschriebenem Experiment sowie vielfältige faszinierende optische Phänomene. Ob in Vorlesungen, Seminaren, für Projektarbeiten, Schulunterricht oder Selbststudium - dieses Buch ist eine wertvolle Ressource für alle, die sich für Optik interessieren. Durch die große Zahl zitierter Originalarbeiten schlägt es nicht nur die Brücke zur Lehre sondern auch zur Forschung. Y1 - 2024 SN - 978-3-662-69308-7 SN - 978-3-662-69309-4 U6 - https://doi.org/10.1007/978-3-662-69309-4 PB - Springer ET - 3 ER - TY - CHAP A1 - Vollmer, Michael T1 - Elektromagnetische Wellen – Grundlagen und ausgewählte Anwendungen T2 - Schwingungen und Wellen in Alltagskontexten N2 - Schwingungen und Wellen zeigen sich in vielen Alltagsphänomenen der Physik, d. h. in der Lebenswelt von Schülerinnen und Schülern. Dazu zählen in der Mechanik Beispiele wie Schaukeln, Seilwellen oder Wasserwellen am Strand, in der Akustik Schallwellen durch beliebige Geräusche oder stehende Wellen in Musikinstrumenten und im Elektromagnetismus die allgegenwärtigen elektromagnetischen Wellen. Letztere haben vielfältigste Anwendungen, z. B. Erhitzen mit Mikrowellengeräten, Kommunizieren mit Smartphones, Datenübertragung mit Lichtleitern oder Fotografieren mit Kameras, ganz zu schweigen von medizinischen Anwendungen der Endoskopie, des Röntgens oder laserbasierten chirurgischen Eingriffen. Viele dieser Anwendungen haben ein enormes Motivationspotenzial in der Lehre, weshalb das Thema fest in Lehrplänen der Sekundarstufen verankert ist. Im Folgenden werden zunächst allgemeine Grundlagen und Gemeinsamkeiten der Beschreibung beliebiger Wellen diskutiert, bevor das Hauptaugenmerk auf elektromagnetische Wellen und ausgewählte Anwendungen gelegt wird. Y1 - 2025 U6 - https://doi.org/10.1007/978-3-662-70949-8_3 SP - 35 EP - 48 PB - Springer ET - 1 ER - TY - JOUR A1 - Vollmer, Michael T1 - How far can we see at day? JF - European Journal of Physics N2 - We discuss the farthest objects on Earth observable for the unaided, healthy naked eye during the daytime, i.e., the maximum visual range for observers on Earth. Visual range depends first on the properties of the material between observer and object and its interaction processes with radiation, but second also on our visual perception system. After a rough comparison of ranges in water, glass, and the atmosphere, we focus on the physical basis of visual range for the latter. As a contrast phenomenon, visual range refers to allowed light paths within the atmosphere. It results from the interplay of geometry, refraction, and light scattering. We present a concise overview of this field by qualitative descriptions and quantitative estimates as well as classroom demonstration experiments. The starting point is the common geometrical visual ranges, followed by extensions due to refraction and limitations due to contrast, which depend on scattering and absorption processes within the atmosphere. The quantitative discussion of scattering is very helpful to easily understand the huge ranges in nature from meters in dense fog to hundreds of kilometers in clear atmospheres. Extreme visual ranges from about 300 km to above 500 km require optimal atmospheric conditions, cleverly chosen locations and times, and a sophisticated topography analysis. Even longer visual ranges are possible when looking through the vertical atmosphere. From the ISS, daytime ranges well above 1000 km are possible. Y1 - 2025 U6 - https://doi.org/10.1088/1361-6404/adc4a0 VL - 46 IS - 3 PB - IOP Science ER - TY - JOUR A1 - Vollmer, Michael T1 - Naked eye celestial objects and phenomena: how far can we see at night? JF - European Journal of Physics N2 - How far can we see with the naked eye at night? Many celestial objects like stars and galaxies as well as transient phenomena such as comets and supernovae can be observed in the night sky. We discuss the furthest distances of such objects and phenomena observable with the naked eye during the night-time for Earth-bound observers. The physics of night-time visual ranges differs from that of daytime observations because human vision shifts from cones to rods. In addition, mostly point sources are observed due to the large distances involved. Whether celestial objects and phenomena can be detected depends on the contrast of their radiation and the background sky luminance. We present a concise overview of how far we can see at night by first discussing the effects of the Earth's atmosphere. This includes attenuation of transmitted radiation as well as its role as a source of background radiation. Disregarding the attenuation of light due to interstellar and intergalactic dust, simple maximum night-time visual range estimates are based on the inverse square law, which can be easily verified by laboratory and demonstration experiments. From the respective calculations, we find that individual stars within the Milky Way galaxy of up to 15 000 light years are observable. Even further away are observable galaxies with several billion stars. The Andromeda galaxy can be observed with the naked eye at a distance of around 2.5 million light years. Similarly, the observability of supernovae also allows a visual range beyond the Milky Way galaxy. Finally, gamma ray bursts as the most energetic events in the universe are discussed concerning naked eye observations. Y1 - 2025 U6 - https://doi.org/10.1088/1361-6404/adbf74 VL - 46 IS - 3 PB - IOP Science ER - TY - JOUR A1 - Stannarius, Ralf A1 - Wang, Jing A1 - Pongó, Tivadar A1 - Fan, Bo A1 - Börzsönyi, Tamás A1 - Hidalgo, Raúl Cruz ED - Alam, M. ED - Das, S.L. ED - Bose, M. ED - Murthy, T.G. ED - Chikkadi, V. ED - Singh, A. ED - Luding, S. T1 - Forces on a sphere suspended in flowing granulate JF - EPJ Web of Conferences N2 - We investigate the forces of flowing granular material on an obstacle. A sphere suspended in a discharging silo experiences both weight of the overlaying layers and drag of the surrounding moving grains. In experiments with frictional hard glass beads, the force on the obstacle was found to be practically flow-rate independent. In contrast, flow of nearly frictionless soft hydrogel spheres added drag forces which increased with the flow rate until reaching saturation at high flow speeds. The total force grew quadratically with the obstacle diameter in the soft, low friction material, while it grew much weaker, nearly linearly with the obstacle diameter, in the bed of hard, frictional glass spheres. In addition to the drag, obstacles embedded in the flowing hydrogel spheres experience a weight force from the top as if immersed in a hydrostatic pressure profile, but negligible counter-forces from below. In contrast, the frictional hard particles create a strong pressure gradient near the upper surface of the obstacle. Numerical simulations provide additional information that is difficult to access experimentally. They reproduce the experimental results and give hints for the origin of the different force contributions. The results have considerable practical importance for the discharge of storage containers with large objects suspended in flowing granular material. Y1 - 2025 U6 - https://doi.org/10.1051/epjconf/202534002019 VL - 340 PB - EDP Sciences ER - TY - JOUR A1 - Harth, Kirsten A1 - Trittel, Torsten A1 - Mohammadi, Mahdieh A1 - Puzyrev, Dmitry A1 - Enezz, Mohammad A1 - Cruz Hidalgo, Raul A1 - Stannarius, Ralf ED - Alam, M. ED - Das, S.L. ED - Bose, M. ED - Murthy, T.G. ED - Chikkadi, V. ED - Singh, A. ED - Luding, S. T1 - Granular gases of rough spheres: Velocity, rotation and collision statistics from in-situ measurements, optical data and simulations JF - EPJ Web of Conferences N2 - Granular gases are not only of interest in fundamental physics, but they can also serve as a test ensembles for the validity of collision models employed in (loose) granular matter. The theoretical literature mainly addresses spheres under ideal conditions and simulations allow full access to all particle parameters, but experiments cannot fulfill these idealizations. We investigate granular gases of soft, rough spheres by combining microgravity experiments and adjusted simulations. We introduce Smart Particles with embedded autarkic micro-sensors for in-situ measurements of rotation rates and accelerations. Additionally, we extract 3D positions, translations and orientations of the particles from stereoscopic video data using Machine-Learning based algorithms. We address the partition of kinetic energy between the degrees of freedom, the angular and translational velocity as well as collision statistics. A simulation is adjusted to experiment parameters, showing good agreement of translational motion, but qualitative differences in the decay of rotational kinetic energy. Y1 - 2025 U6 - https://doi.org/10.1051/epjconf/202534003012 VL - 340 PB - EDP Sciences ER - TY - CHAP A1 - Fitz, Lukas R. G. A1 - Teutenberg, Lukas A1 - Veldyaeva, Ekaterina A1 - Scheeg, Jochen T1 - Augmented Reality Solution Requirements for Human-Building Interactions: Lessons Learned from an Applied Science Project T2 - Konferenz: 27th International Conference on Human-Computer Interaction, HCII 2025, Gothenburg, Sweden, June 22–27, 2025, Proceedings, Part III, HCI International 2025 – Late Breaking Papers N2 - One popular application domain for Augmented Reality (AR) technology is facilitating human-building interactions (HBI). Such applications help users to retrieve and transact information through localized interaction points displayed on their (mobile) devices. Growing adoption of AR technology underlines the importance of incorporating suitable AR components for HBI, which is important for effective implementation and testing of HBI-AR use cases, increasing user satisfaction, and long-term viability. In this context, our short paper presents key experiences and lessons learned from an applied science project targeting the development and evaluation of an HBI-AR university campus app. Drawing on an ex-post inquiry of project collaborator experiences, we prescriptively highlight relevant AR solution requirements for this specific design context. Our findings amplify the importance of (1) balancing trade-offs between different spatial embedding computation methods, (2) modularity, customizability, and testability for efficient software development, and (3) taking building complexity and prototype maturity requirements into account when taking AR solution make-or-buy decisions. Our shared insights may inform future best practices and design principles for convergent HBI and AR projects in research and practice. Y1 - 2026 SN - 978-3-032-12775-4 SN - 978-3-032-12773-0 U6 - https://doi.org/10.1007/978-3-032-12773-0_21 SP - 217 EP - 225 PB - Springer ET - 1 ER - TY - JOUR A1 - Preetham Sata, Sai A1 - Stannarius, Ralf A1 - Puzyrev, Dmitry ED - Alam, M. ED - Das, S.L. ED - Bose, M. ED - Murthy, T.G. ED - Chikkadi, V. ED - Singh, A. ED - Luding, S. T1 - Machine learning for prediction of dynamical clustering in granular gases JF - EPJ Web of Conferences N2 - 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. Y1 - 2025 U6 - https://doi.org/10.1051/epjconf/202534012012 VL - 340 PB - EDP Sciences 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 - Puzyrev, Dmitry A1 - Trittel, Torsten A1 - Harth, Kirsten A1 - Sata, Sai Preetham A1 - Stannarius, Ralf A1 - Cruz Hidalgo, Raúl ED - Alam, M. ED - Das, S.L. ED - Bose, M. ED - Murthy, T.G. ED - Chikkadi, V. ED - Singh, A. ED - Luding, S. T1 - AI-aided visual data analysis for granular gases: Complex particles, high density, and other challenges JF - EPJ Web of Conferences N2 - 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. Y1 - 2025 U6 - https://doi.org/10.1051/epjconf/202534012013 VL - 340 PB - EDP Sciences ER - TY - JOUR A1 - Wehland, Markus A1 - Corydon, Thomas J. A1 - González-Torres, Luis Fernando A1 - Abdelfattah, Fatima A1 - Sahana, Jayashree A1 - Schulz, Herbert A1 - Mushunuri, Ashwini A1 - Burenkova, Hanna A1 - Wuest, Simon L. A1 - Krüger, Marcus A1 - Kraus, Armin A1 - Grimm, Daniela T1 - New Knowledge About Tissue Engineering Under Microgravity Conditions in Space and on Earth JF - International Journal of Molecular Sciences N2 - Microgravity (µg)-generated three-dimensional (3D) multicellular aggregates can serve as models of tissue and disease development. They are relevant in the fields of cancer and in vitro metastasis or regenerative medicine (tissue engineering). Driven by the 3R concept—replacement, reduction, and refinement of animal testing—µg-exposure of human cells represents a new alternative method that avoids animal experiments entirely. New Approach Methodologies (NAMs) are used in biomedical research, pharmacology, toxicology, cancer research, radiotherapy, and translational regenerative medicine. Various types of human cells grow as 3D spheroids or organoids when exposed to µg-conditions provided by µg simulating instruments on Earth. Examples for such µg-simulators are the Rotating Wall Vessel, the Random Positioning Machine, and the 2D or 3D clinostat. This review summarizes the most recent literature focusing on µg-engineered tissues. We are discussing all reports examining different tumor cell types from breast, lung, thyroid, prostate, and gastrointestinal cancers. Moreover, we are focusing on µg-generated spheroids and organoids derived from healthy cells like chondrocytes, stem cells, bone cells, endothelial cells, and cardiovascular cells. The obtained data from NAMs and µg-experiments clearly imply that they can support translational medicine on Earth. Y1 - 2025 U6 - https://doi.org/10.3390/ijms27010341 VL - 27 IS - 1 PB - MDPI ER - TY - JOUR A1 - Mushunuri, Ashwini A1 - Adesoji, Oluyomi A1 - Krause, Roland A1 - May, Patrick A1 - Lerche, Holger A1 - Becker, Albert A1 - Grimm, Daniela A1 - Nothnagel, Michael A1 - Schulz, Herbert T1 - Genetic risk factor identification for common epilepsies guided by integrative omics data analysis JF - Epilepsia N2 - Objective Genetic generalized epilepsies (GGEs) comprise the most common genetically determined epilepsy syndromes, following a complex mode of inheritance. Although many important common and rare genetic factors causing or contributing to these epilepsies have been identified in the past decades, many features of the genetic architecture are still insufficiently understood. This study integrates genome-wide association study (GWAS) data from the International League Against Epilepsy Consortium on Complex Epilepsies with transcriptome-wide association studies to identify genes whose genetically regulated expression levels are associated with epilepsy. Methods To achieve this, we used multiple computational approaches, including MAGMA, a tool for gene analysis of GWAS data, and its derivatives E-MAGMA and H-MAGMA, to improve gene mapping accuracy by utilizing tissue-specific expression and chromatin interaction data. Furthermore, we developed ME-MAGMA to incorporate methylation quantitative trait loci data, providing insights into epigenetic factors. Results We identified a total of 897 false discovery rate-corrected (<.05) candidates. These include voltage-gated calcium channels, voltage-gated potassium channels, and other genes such as NPRL2, CACNB2, and KCNT1 associated with epilepsy pathogenesis that act as key players in neuronal communication and signaling in the brain. Significance In this study, we propose new candidate genes to expand the dataset of potential epilepsy-causing genes. Further research on these genes may enhance our understanding of the complex regulatory mechanisms underlying GGE and other types of epilepsy, potentially revealing targets for therapeutic intervention. Y1 - 2025 U6 - https://doi.org/10.1111/epi.70021 PB - Wiley ER - TY - JOUR A1 - Han-Xiang, Xu A1 - Guterding, Daniel T1 - Incommensurate spin fluctuations and competing pairing symmetries in La3⁢Ni2⁢O7 JF - Physical Review B N2 - The recent discovery of superconductivity in the bilayer Ruddlesden-Popper nickelate La3⁢Ni2⁢O7 under high pressure has generated much interest in the superconducting pairing mechanism of nickelates. Despite extensive work, the superconducting pairing symmetry in La3⁢Ni2⁢O7 remains unresolved, with conflicting results even for identical methods. We argue that different superconducting states in La3⁢Ni2⁢O7 are in close competition and highly sensitive to the choice of interaction parameters as well as pressure-induced changes in the electronic structure. Our study uses a multiorbital Hubbard model, incorporating all Ni 3⁢𝑑 and O 2⁢𝑝 states. We analyze the superconducting pairing mechanism of La3⁢Ni2⁢O7 within the random phase approximation and find a transition between 𝑑-wave and sign-changing 𝑠-wave pairing states as a function of pressure and interaction parameters, which is driven by spin fluctuations with different wave vectors. These spin fluctuations with incommensurate wave vectors cooperatively stabilize a superconducting order parameter with 𝑑𝑥2−𝑦2 symmetry for realistic model parameters. Simultaneously, their competition may be responsible for the absence of magnetic order in La3⁢Ni2⁢O7, demonstrating that magnetic frustration and superconducting pairing can arise from the same set of incommensurate spin fluctuations. Y1 - 2025 U6 - https://doi.org/10.1103/f6nj-34th VL - 112 IS - 17 PB - American Physical Society ER - TY - BOOK A1 - Burger-Menzel, Bettina T1 - Multiperspektivische Ökonomik: Menschenbilder - Systemansätze - Steuerungsideen N2 - Wie gelingt Zukunftsfähigkeit in einer komplexen Welt? Unsere Welt ist im Wandel - technologisch, global, ökologisch. Selbst Handlungskonzepte wie das "grüne Wachstum" wirken zunehmend unsicher, vor allem auf einem Planeten mit begrenzten Ressourcen und wachsender Weltbevölkerung. Dieses Lehrbuch lädt dazu ein, neue Perspektiven zu gewinnen: Wie können sich Unternehmen und Standorte zukunftsfähig ausrichten? Und: Was müssen wir aus Sicht der Volkswirtschaftslehre - disziplinär und interdisziplinär - hierfür über komplex adaptive Systeme lernen? Das erforderliche Komplexitätsverständnis wird in drei Teilen Schritt für Schritt entwickelt und mit Blick auf die Nachhaltigkeit anwendungsbezogen veranschaulicht. Teil 1 bietet inspirierende Einblicke in die Vielfalt menschlicher Handlungsweisen, vom rationalen bis zum vielschichtigen Menschen, der sich von Narrativen, Emotionen und kognitiven Verzerrungen beeinflussen lässt. Teil 2 sieht den Menschen als Systemelement bzw. Akteur und beleuchtet systemische Wechselwirkungen bei zunehmendem Komplexitätsgrad. Die Vorstellungen von einem "guten Leben" wandeln sich, von materiellen Lebensstandards und sozialer Gerechtigkeit hin zu Krisenresilienz und transformativer Leistungsfähigkeit. Teil 3 stellt Ideen vor, wie die Governance menschengemachter Systeme mittels Regulierung, Kulturentwicklung und Nudging gelingen kann, wenn wir von der Partizipation in Wissens- und Lernnetzwerken und potenzieller Selbstwirksamkeit ausgehen. Das Buch bietet Impulse für Lehre, Forschung und Praxis. Es eignet sich nicht nur für Studierende und Lehrende der Volkswirtschaftslehre. Es eröffnet auch Lehrenden der Sekundarstufe und Erwachsenenbildung neue Sichten sowie denjenigen, die in Wirtschaft, Verbänden, Politik, Verwaltung oder in zivilgesellschaftlichen Organisationen beratend aktiv sind. Kurzum: Ein Buch für alle, die systemischen Wandel nicht nur verstehen, sondern mitgestalten wollen. Y1 - 2025 SN - 978-3-658-48617-4 SN - 978-3-658-48616-7 U6 - https://doi.org/10.1007/978-3-658-48617-4 PB - Springer ET - 1 ER - TY - JOUR A1 - Levina, Olga A1 - Lindauer, Friederike A1 - Revina, Aleksandra T1 - A Participatory Workshop Design for Engaging Young People in IT Sustainability JF - Education Science N2 - This paper presents an approach to teaching and consolidating skills in the context of sustainability “Prototyping Sustainability–Designing Sustainable IT” (ProS), using the workshop format for participatory and creative learning. The workshop integrates principles from Education for Sustainable Development (ESD), transformative and experiential learning, participatory design, and critical reflection on the digital age to engage participants in critically examining the environmental, economic, and social impacts of digital technologies in the context of Sustainable Development Goals (SDGs). Structured in five modular phases, from self-reflection and knowledge activation to collaborative prototyping and peer evaluation, the workshop offers a hands-on, gamified learning experience centred on real-world sustainability challenges. Learners create user-centred paper-based prototypes for digital products using tactile materials, persona-driven scenarios and knowledge of sustainable product characteristics gained in the workshop. Outcome measurement is supported through pre- and post-workshop surveys, peer voting templates, and paper-based prototype artefacts, enabling rich insight into behavioural intentions and learning gains. The paper discusses the educational value and sustainability relevance of the workshop engaging young people in critically reflecting on the environmental, economic, and social consequences of digitalization. Finally, it highlights challenges and limitations and proposes directions for future research. Y1 - 2025 U6 - https://doi.org/10.3390/educsci15121570 IS - 15 (12) PB - MDPI ER -