@inproceedings{7156, author = {Schröder, Nadine and Schamp, Christina and Reutterer, Thomas}, location = {Carcavelos, Portugal}, title = {{How Shopping Clubs Work: Differential Effects of Nudges Across the Customer Decision Journey}}, year = {2026}, } @article{7159, abstract = {Background: Smart home technology powered by AI can detect anomalies and make emergency calls, enabling residents to live safely and independently. However, the adoption of such technologies for medical emergency detection remains limited. Objective: This study aimed to explore consumer preferences for AI-based smart home technology for medical emergency detection and identify predictors such as sociodemographic variables, AI literacy, and technology affinity. Method: A sample of 300 participants (172/300, 57.33% female; 128/300, 42.67% male, aged 18‐69 years) completed a choice-based conjoint analysis (CBCA). Participants evaluated 15 choice sets describing smart home variants based on cost, location, emergency detection rate, type of sensor, and data processing. Results: Cost was the most important attribute (relative importance [RI]=41%), followed by emergency detection rate (RI=19%), data processing (RI=14%), and location (RI=14%). The type of sensor was the least important attribute (RI=9%). The preferred configuration combined an annual subscription of €70 (US $82), a 95% detection rate, wearable sensors, personalized AI, and installation in both intimate and shared rooms. Notably, 68.3% (205/300) of participants showed a positive none utility, indicating that even the optimal configuration did not overcome general reluctance to adopt such systems. While most expected correlations between sociodemographic variables and attribute importances were not observed, a significant correlation between self-reported health status and emergency detection rate was found (r=.16, P=.007). Interestingly, 61% (167/270) of participants preferred AI over human involvement in data processing, but logistic regression revealed that a significant correlation between self-reported health status and emergency detection rate was found (OR=0.58, P=.04). Conclusions: These findings highlight the need to align smart home development with user preferences, emphasizing cost-effectiveness. Additionally, AI literacy plays an important role in technology adoption in the context of AI-based smart home technology. Further research is needed to understand and address the reluctance to adopt AI for medical emergency detection.}, author = {Jagemann, Inga and Baudisch, Justin and Jungeblut, Thorsten and Maier, Günter W and Hirschfeld, Gerrit}, issn = {2817-1705}, journal = {JMIR AI}, pages = {e94589--e94589}, publisher = {JMIR Publications Inc.}, title = {{Consumer Preferences for AI-Based Smart Home Medical Emergency Detection Among German Adults: Choice-Based Conjoint Analysis}}, doi = {10.2196/94589}, volume = {5}, year = {2026}, } @article{7146, author = {Wehlage, Daria and Göcht, Mia and Ehrmann, Andrea and Andrée, Birgit}, issn = {2688-2663}, journal = {MedComm}, number = {9}, publisher = {Wiley}, title = {{Electrospun Tubing as Shaping Material for Central Vessels in Perfusable, Vascularized Constructs}}, doi = {10.1002/mco2.70985}, volume = {7}, year = {2026}, } @techreport{7152, abstract = {Property prediction for molecules and materials is bottlenecked by label scarcity, and in this regime the operative failure mode is not a low mean but an unpredictable tail: individual training runs collapse. The three dominant molecular representations fail in complementary ways?physicochemical descriptors are exact but fixed, graph neural networks learn topology but degenerate under sparse supervision, and language models supply semantic context but cannot compute exact quantities? yet combining them is itself the learning problem, because modality-level scalar gating commits the whole model to one trust weight per source. We introduce TAME, a tri-modal encoder whose element-wise Mixture-of-Experts router assigns an independent modality mixture to every hidden coordinate, stabilized by a balance?entropy regularizer, a closed-form gate initialization (? = log τ ) that is intended to remove router burn-in, and two-stage self-supervised graph pretraining. On scaffold-split BACE (≈ 1.5k molecules, 100 seeds) we evaluate two fusion topologies, each against its own graph-only control. In both, adding the text and descriptor experts contracts the seed-to-seed distribution of the threshold-free metrics?ROC-AUC σ falls five-fold in the flat topology and 1.6-fold in the hierarchical one, whose control was already the tighter of the two?and the collapse tail reaching ROC-AUC ≈ 0.45 that the weaker single-modality configurations carry is absent from the fused models while accuracy is retained. Each comparison is matched on everything but the fusion stage, isolating its effect. The router allocates a distinct mixture to each coordinate, which no scalar gate can represent, and the entropy weight moves that allocation continuously between graded mixing and a near-binary regime in which each coordinate is claimed outright by one modality. Fused-representation alignment tracks encoder quality without supervision, shifting from text to topology once pretraining lifts the graph embedding out of rank-1 collapse. The same three experts map onto crystal graphs, composition?structure descriptors and literature-mined text. These three modalities recur unchanged across molecular and inorganic chemistry, so TAME is a single interpretable recipe for turning volatile low-data predictors into reliable, self-explaining ones, wherever data are scarce and every failed prediction costs a real experiment.}, author = {Schiller, Robert P. and Weisser, Christoph and Müller, Klaus-Robert and Ochsenfeld, Christian and Semnani, Parastoo}, title = {{TAME: Element-wise Mixture-of-Experts Fusion for Reliable and Interpretable Molecular Property Prediction}}, doi = {10.26434/chemrxiv.15008270/v2}, year = {2026}, } @article{7038, author = {Nadolny, Stephan and Grunwald, Marie and Gröndahl, Annika and Palmdorf, Sarah and Ilskens, Karina and Borchardt, Nina and Maaß, Annika and Schulenkorf, Tessa and Schniering, Stefanie and Afroukhte, Dariusch and Richter, Miriam Tariba and Offermanns, Matthias and Parloh, Ann Kathrin and Grebe, Christian and Latteck, Änne-Dörte}, journal = {Preprint}, publisher = {Elsevier BV}, title = {{Case management and care expertise as a prevention approach for adults with intellectual disabilities: results of a randomized-controlled trial}}, year = {2026}, } @inproceedings{7145, author = {Berlik, Stefan and Seidpisheh, Mohammad}, booktitle = {Integrated Systems: AI-Augmented Engineering}, editor = {Alam, Mohammad-Reza and Fathi, Madjid and Pulatov, Alim}, isbn = {978-3-032-21980-0}, location = {Tashkent, Usbekistan}, pages = {46--56}, publisher = {Springer Nature Switzerland}, title = {{Multi-stage Knowledge Graph-Augmented LLMs for Reliable Product Configuration}}, doi = {10.1007/978-3-032-21981-7_4}, year = {2026}, } @inproceedings{7144, abstract = {The increasing complexity of product configurations demands intelligent systems that effectively integrate customer requirements, dependencies, and uncertainties. This paper introduces a unified framework combining Knowledge Graphs (KGs) and Bayesian Networks (BNs) to enhance the efficiency and adaptability of product configuration processes. KGs provide a semantic foundation for product information, ensuring interoperability and explicit relationship modeling. BNs enhance this through probabilistic reasoning, allowing the system to manage uncertainties and dynamically generate optimal configurations. The integration of deterministic, rule-based reasoning from ontologies with the probabilistic nature of BNs automates suggestions, predicts user preferences, and reduces complexity. This framework streamlines user interactions through intelligent form pre-filling and contextually relevant suggestions, even under uncertainty. By employing an ontology-based representation of BNs, the components fit seamlessly into the KG, creating a cohesive and unified framework that balances scalability and user-centric design to address modern configuration challenges. }, author = {Berlik, Stefan and Seidpisheh, Mohammad}, booktitle = {New Paradigms for Anticipated Uncertainty. Proceedings of the 10th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV 2025) and the 12th World Mass Customization and Personalization Conference (MCPC 2025), Siegen, Germany, September 2025}, editor = {Manns, Martin}, isbn = {978-3-032-16888-7}, issn = {2195-4364}, location = {Siegen}, pages = {131--141}, publisher = {Springer Nature Switzerland}, title = {{A Unified Framework for Intelligent Product Configuration Using Knowledge Graphs and Bayesian Networks}}, doi = {10.1007/978-3-032-16889-4_13}, year = {2026}, } @article{6977, abstract = { Introduction - Chronic heart failure (CHF) affects millions and burdens health systems through high morbidity and mortality. Guidelines emphasise the need for self‐management. Yet the specific strategies patients use to perceive, appraise, and respond to symptoms remain insufficiently described. Symptom management is a core component of self‐management and directly shapes illness trajectories and quality of life.
Objectives - To identify and map behaviours and strategies of adults with CHF to manage symptoms in daily life.
Methods - We conducted a scoping review of MEDLINE (PubMed), CINAHL (EBSCOhost), Livivo and Cochrane Library (2006–2024). Data were analysed using Mayring's qualitative content analysis. Categories were derived deductively from heart failure guidelines and Dodd's Symptom Management Model and inductively from included studies. The category system was aligned with Dodd's Symptom Management Model, which guided the structuring of findings into symptom experience, management strategies, and outcomes.
Results - Thirty‐one reports (qualitative, quantitative, mixed methods) met the inclusion criteria. Patients deploy diverse strategies across five domains: medication management, symptom monitoring, adjustment of daily activities, fluid and weight management, and lifestyle modification. Social support is pivotal. Many patients deviate from recommendations to balance demands, gaining short‐term relief at the potential expense of long‐term control. Such deviations function as pragmatic coping and indicate unmet information and structural needs.
Discussion - Patients’ behaviours are integral to symptom management and should inform context‐sensitive professional support and care. Involving family members and utilising digital tools could enhance monitoring, decision‐making, and quality of life. Future work should apply Dodd's Symptom Management Model to clarify links between symptom experience, strategies, and outcomes and to develop approaches feasible and compatible with daily life.
Patient or Public Contribution - After completing the core scoping review work, we conducted a PPIE session with a person living with heart failure (NYHA III) to validate the category system, the presentation of results, and practice implications. The feedback enhanced interpretability (micro‐level strategies) and supported a destigmatising view of non‐recommended behaviours. }, author = {Pietsch, Severin and Köpke, Sascha and Büker, Christa and Müller, Irene}, issn = {1369-7625}, journal = {Health Expectations}, number = {2}, publisher = {Wiley}, title = {{Symptom Management in Chronic Heart Failure: Strategies and Behaviours From Patients’ Perspectives—A Scoping Review}}, doi = {10.1111/hex.70667}, volume = {29}, year = {2026}, } @article{6978, abstract = { Zusammenfassung - Onlineberatung hat in der Sozialen Arbeit an Bedeutung gewonnen – insbesondere seit der Corona-Pandemie. Während ortsunabhängige Beratungsformate inzwischen weit verbreitet sind und von Ratsuchenden zu Hause, am Arbeitsplatz oder unterwegs genutzt werden können, bietet die stationäre Onlineberatung an öffentlich zugänglichen Orten oder in Einrichtungen des Sozial- und Gesundheitswesens bislang wenig beachtete Potenziale. Der vorliegende Beitrag beleuchtet die Chancen und Risiken stationärer Onlineberatung im Vergleich zu ortsunabhängigen Formaten, skizziert Möglichkeiten der institutionellen Einbettung und diskutiert ihre Herausforderungen. Anstatt eine abgeschlossene Systematik zu präsentieren, bleiben wir im Folgenden bewusst kursorisch, um eine möglichst breite Anschlussfähigkeit zu erreichen und sowohl weitere Forschungen als auch Praxisaktivitäten anzuregen. }, author = {Waag, Philipp and Schmitz, Anne-Kathrin and Seelmeyer, Udo and Becking, Dominic and Laak, Matti Miikka Johannes and Weinhardt, Marc}, issn = {1863-8953}, journal = {Sozial Extra}, number = {1}, pages = {68--72}, publisher = {Springer Science and Business Media LLC}, title = {{Potenziale und Hürden stationärer Onlineberatung in der Sozialen Arbeit}}, doi = {10.1007/s12054-026-00846-z}, volume = {50}, year = {2026}, } @article{7141, abstract = { This tutorial provides a comprehensive and intuitive journey through the evolution of deep generative models, tracing a clear path from the foundations of Principal Component Analysis (PCA) to modern Variational Autoencoders (VAEs), showing how each method solves the limitations of the previous one. We begin with PCA, a linear tool for reducing data dimensions. Its inability to model non-linear patterns motivates the use of Autoencoders (AEs), which use neural networks to learn flexible, compressed representations. However, AEs lack a probabilistic framework, preventing them from generating new data. VAEs address this by treating the latent space as a probability distribution, enabling data generation. We compare the three methods through theoretical analysis, experiments, and step-by-step numerical examples that show exactly how each model compresses data—a detail often missing elsewhere. Unlike resources that treat these topics separately, we connect them into a single narrative, building intuition progressively from linear to probabilistic deep generative models. }, author = {Tharwat, Alaa and Eid, Mahmoud M.}, issn = {2571-905X}, journal = {Stats}, number = {2}, publisher = {MDPI AG}, title = {{The Path from PCA to Autoencoders to Variational Autoencoders: Building Intuition for Deep Generative Modeling}}, doi = {10.3390/stats9020023}, volume = {9}, year = {2026}, } @article{7142, author = {Steurer, Xenia Ricarda and Kalik, B. and Jakobs-Schönwandt, D. and Grünberger, A. and Patel, Anant V. }, issn = {09608524}, journal = {Bioresource Technology}, publisher = {Elsevier BV}, title = {{Development of a bioprocess with Streptomyces setonensis to produce a novel herbicidal sugar as an alternative to glyphosate}}, doi = {10.1016/j.biortech.2026.134217}, volume = {447}, year = {2026}, } @techreport{7129, abstract = {Die Ausarbeitung untersucht, wie produzierende Unternehmen verhindern können, dass gebrauchte Industriekomponenten bei der Rücknahme als Abfall i.S.d. § 3 KrWG eingestuft werden. Ausgehend von der Entledigungsdogmatik des KrWG und der EuGH-Rechtsprechung (Tronex, Porr Bau) werden zwei vertragliche Gestaltungsansätze entwickelt: eine Ankaufsklausel mit Zweckbestimmung, marktbezogener Kaufpreisermittlung und Prüfmechanismus sowie ein Product-as-a-Service-Modell, bei dem das Eigentum dauerhaft beim Hersteller verbleibt. Die produktrechtlichen Folgen beider Modelle, insbesondere die Herstellerfiktion der GPSR, die Haftung nach ProdHaftG sowie die vertragliche und deliktische Haftung nach BGB, werden dargestellt. Die Ausarbeitung schließt mit einer vergleichenden Bewertung und dem Befund, dass der digitale Produktpass der ESPR die identifizierte Datenlücke bei Sekundärgütern künftig strukturell schließen wird.}, author = {Steinke, Katharina and Kohestani, Sara}, keywords = {Kreislaufwirtschaftsrecht, Abfalleigenschaft, Abfallvermeidung, KrWG}, title = {{Vermeidung der Abfalleigenschaft als Voraussetzung zirkulärer Geschäftsmodelle}}, year = {2026}, } @techreport{7123, author = {Lattwesen, Pauline and Bothstedt, Jonas}, title = {{Erweiterte Herstellerverantwortung für Verpackungen im europäischen Vergleich: Reichweite und Grenzen der Harmonisierung durch die PPWR}}, year = {2026}, } @article{7134, abstract = { This paper examines how biophilic design intersects with the Sustainable Development Goals (SDGs) amid disruptions caused by the COVID-19 pandemic, considering human–nature interactions as an individual-scale link between well-being and sustainability. Biophilic design—the integration of natural elements into the built environment—reflects well-being through human–nature interactions and connects social–ecological system dynamics and sustainability interdependencies. Drawing on evidence that pandemic-induced psychological stressors transformed people–environment relations, this study developed a conceptual framework linking selected SDG targets to the 14 biophilic design patterns and examined these relationships using data from a Europe-wide survey conducted in early 2023. It complements research on SDG interdependencies, which is mainly conducted at the system or policy level, by introducing individual experiences. NMI analysis identified a central cluster of strong statistical interdependencies among SDGs related to energy efficiency (SDG 7), infrastructure (SDG 9), and resource use (SDG 12), while SDGs associated with cities (SDG 11) and terrestrial ecosystems (SDG 15) showed weaker and more diffuse interdependencies. The observed interdependencies were strongest for SDGs represented by survey variables that reflect direct, everyday experiences of the built environment, such as indoor environmental quality, access to natural light, ventilation, contact with vegetation, and the use of natural materials, whereas SDGs represented by indirect or broader ecological dimensions exhibited weaker statistical associations. Not all conceptually linked SDGs were reflected equally in individual experiences; only a subset of potential interdependencies showed strong statistical—association. This study demonstrates that the pattern of SDG interdependencies depends on the analytical scale at which sustainability is examined. The study reinforces the value of the SDG framework as an analytical structure for sustainability science, enabling interdisciplinary investigations of complex interactions among environmental, social, and built-environment dimensions beyond policy implementation assessment. }, author = {Shulla, Kalterina and Filho, Walter Leal and Lardjane, Salim and Scandone, Giuseppe}, issn = {2071-1050}, journal = {Sustainability}, number = {17}, publisher = {MDPI AG}, title = {{Biophilic Design, Human Well-Being, and SDG Interactions in the Context of COVID-19}}, doi = {10.3390/su18178966}, volume = {18}, year = {2026}, } @inproceedings{7118, author = {Jamebozorgi, Vahid and Schröder, Christian}, issn = {751-0522 }, location = {Dresden}, number = {2}, title = {{Virtual Characterization Lab: A python toolkit for material characterization from molecular dynamics}}, volume = {61}, year = {2026}, } @misc{7120, abstract = {Current simulation workflows overwhelmingly rely on idealized or implicit microstructures, which prevents true side‑by‑side comparison with experiments and slows methodological progress. Directly simulating experimentally identical samples—using atomistic and continuum models—is a critical yet largely unrealized step toward predictive, microstructure‑aware materials discovery. In this work, we introduce MultiBEST, a unified GUI‑based framework that constructs experimentally faithful atomistic and continuum models directly from 2D micrographs, EBSD data, or simple user sketches. The resulting continuum representations explicitly resolve grain boundaries as crystallography‑aware volumetric interfaces with distinct properties, enabling multiscale modelling that approaches atomistic‑level fidelity. MultiBEST delivers an end‑to‑end pipeline—from image processing to final model export—with tunable computational cost, from rapid prototyping to large‑scale simulations.}, author = {Jamebozorgi, Vahid and Quisbrok, Robin and Nasari, Amirbahador and Schröder, Christian}, keywords = {Atomistic simulation, EBSD, Mesh generation, Finite element methods, Image processing, Digital-twin, Multiscale modeling}, publisher = {Vahid Jamebozorgi, self-published}, title = {{MultiBEST – Multiscale/Multiphase Bridging Experiment and Simulation Toolkit}}, year = {2026}, } @misc{7119, abstract = {Material discovery using traditional experimental methods is a slow and costly process, often limited by the sampling process, characterization condition constraints, and the requirement for expensive equipment. While computational tools have transformed materials research by accelerating the investigation of material properties, a significant gap remains in connecting high-fidelity simulations with established experimental characterization techniques. Virtual Characterization Lab (VCL), a unified, open-source toolkit designed to bridge this gap. The VCL streamlines pre- and post-processing workflows—primarily designed for, but not limited to, molecular dynamics (MD) simulations. It enables researchers to analyze crystallography and generate essential characterization data, including X-ray Diffraction (XRD), Selected Area Electron Diffraction (SAED), Vibrational Density of States (VDOS), and Infrared (IR) spectra, all within a single, intuitive graphical user interface (GUI). By integrating every step from initial structure preparation to final data visualization, the VCL accelerates materials discovery by making virtual characterization more efficient, accessible, and directly comparable to experimental results.}, author = {Jamebozorgi, Vahid and Quisbrok, Robin and Schröder, Christian}, keywords = {Atomistic simulation, Defects, XRD, TEM, Vibrational analysis, Virtual material characterization}, publisher = {Vahid Jamebozorgi, self-published}, title = {{Virtual Characterization Lab Toolkit}}, year = {2026}, } @inproceedings{7122, abstract = {Mit steigenden Frequenzen nimmt der Einfluss des eingesetzten Messverfahrens in etablierten Testumgebungen bei feldgeführten Emissionsmessungen signifikant zu. Dieser Beitrag untersucht den Einfluss unterschiedlicher Abtaststrategien zur Erfassung der maximalen elektrischen Feldstärke eines im relevanten Frequenzbereich elektrisch großen, künstlichen Prüflings (EUT) in der Testumgebung „Vollabsorberkammer“ (fully anechoic room - FAR) [1]. Dazu erfolgen Messungen: (a) in der Ebene des EUTs (Messpunkte auf einem Kreis), (b) mit zusätzlicher Höhenvariation der Antenne (Messpunkte auf einer Zylinderoberfläche) und (c) Drehen des Prüflings um seine Raumachsen (Messpunkte auf drei orthogonalen Kreisen). Ergänzend erfolgt eine Abschätzung des erforderlichen Messaufwands zur elektromagnetischen Charakterisierung unbeabsichtigter Strahler in Abhängigkeit von der elektrischen Größe des Prüflings. Ziel ist es dabei, die maximal abgestrahlte elektrische Feldstärke zu erfassen – wie in den aktuellen Normen gefordert. Die gewonnenen Erkenntnisse sind sowohl für die Abschätzung der Messunsicherheit als auch für die Analyse potenzieller Abweichungen zwischen Ergebnissen aus etablierten und alternativen Testumgebungen von zentraler Bedeutung. Es werden typische Unsicherheiten und systematische Begrenzungen klassischer Messverfahren aufgezeigt und motiviert, wie alternative Messumgebungen (Modenverwirbelungskammern, TEM- Zellen) zur Effizienzsteigerung sowie zur erweiterten Bewertung des Emissionsverhaltens beitragen können. Die vorgestellten Ansätze sollen Impulse für eine theorie- und praxisorientierte Weiterentwicklung bestehender Normen sowie eine kritische Reflexion der bisher verwendeten Messgröße der maximalen elektrischen Feldstärke gegenüber der gesamt abgestrahlten Leistung (Total Radiated Power - TRP) oberhalb von 1 GHz liefern.}, author = {Battermann, Sven and Garbe, Heyno}, booktitle = {Proceedings EMV Kongress 2026 : Internationale Fachmesse und Kongress für Elektromagnetische Verträglichkeit}, location = {Köln}, title = {{Vergleich von Emissionsmessverfahren oberhalb 1 GHz mit Analyse des Messaufwands und Alternativen}}, doi = {10.15488/21126}, year = {2026}, } @techreport{7114, author = {Sieg, Carolin and Tozo, Linda and Marouka, Nahrin}, title = {{Essbarer Käseüberzug - Lebensmittel oder Verpackung?}}, year = {2026}, } @article{7108, author = {Körner, Nadja and Enkh, Judith and Knoblauch, Flavian and Schekelmann, Lena and Seidler-Rolf, Kristina}, issn = {0340-5303}, journal = {Die Schwester I Der Pfleger}, number = {8}, pages = {48--49}, publisher = {Bibliomed}, title = {{Nachhaltigkeit in der Praxisanleitung verankern}}, year = {2026}, }