@inproceedings{7166, author = {Seidler-Rolf, Kristina and Knoblauch, Flavian and Ilskens, Karina}, location = {Dresden}, title = {{Integration von Planetary Health in die Ausbildung: Lehrende durch ein Train-the-Trainer-Konzept unterstützen}}, year = {2026}, } @inproceedings{7162, abstract = {Heart rate variability biofeedback has emerged as a validated intervention for stress management and emotional regulation through coherence breathing techniques. Existing biofeedback systems typically present cardiac and respiratory signals as separate feedback channels or rely on discrete interface elements that fragment attention and disrupt immersion. We present a design framework that extends Viscereality, a bioresponsive VR framework originally developed for breath mapping, to integrate multi-channel biofeedback including heart rate within immersive VR, centered on a particle-based environment that functions as a spatial body-mapping interface. By leveraging bioresponsive breath interactions for embodiment and weak representational aesthetics for cardiac coherence, the framework aims to encode both streams within a shared visual substrate, reducing the attentional task-switching and experiential fragmentation that multi-channel displays otherwise risk. The system translates lung volume into spatial expansion and contraction of the environment itself, maps cardiac coherence onto affective visual dimensions (angularity, brightness, saturation, symmetry), and embeds breathing guidance within the same geometric substrate. We present the design rationale and implementation of this framework, with empirical validation of its effectiveness to be conducted in future studies.}, author = {Fejer, George and Holzapfel, Till and Hirvonen, Taru and Lalidis Mateo, Anestis-Pere and Blum, Johannes and Gaebler, Michael and Lenggenhager, Bigna}, booktitle = {Proceedings of the 1st International Conference on Human-Computer Interaction in the Alps}, isbn = {9798400719486}, keywords = {heart rate variability, biofeedback, virtual reality, affective state modulation, affective visualization, coherence breathing}, location = {Ascona Switzerland}, pages = {79--86}, publisher = {ACM}, title = {{Breathing Space: Spatial Mapping of Breath and Cardiac Biofeedback for Affective State Representation and Coherence Training in Viscereality}}, doi = {10.1145/3780045.3780061}, year = {2026}, } @misc{7165, author = {Fejer, George and Holzapfel, Till and Hirvonen, Taru and Lalidis Mateo, Anestis-Pere and Blum, Johannes and Gaebler, Michael and Lenggenhager, Bigna}, publisher = {OSF}, title = {{Viscereality: Bioresponsive Virtual Reality for Box Breathing and Altered-State Experience}}, doi = {10.17605/OSF.IO/64MWK}, year = {2026}, } @inproceedings{7155, abstract = {Dieser Beitrag untersucht die Potenziale von Agentic AI und Vibe Coding im Finanz- und Rechnungswesen mittelständischer Unternehmen. Angesichts von Fachkräftemangel und Prozessineffizienzen rücken autonome KI-Systeme und neue Programmierparadigmen zunehmend in den Fokus. Da diese Technologien noch eine geringe Marktdurchdringung aufweisen, nutzt die Studie sieben Large Language Models (LLMs) als exploratives Forschungsinstrument zur systematischen Identifikation und Bewertung von Anwendungsfeldern, Chancen und Risiken. Die Ergebnisse zeigen, dass Agentic AI als Schlüsseltechnologie für die autonome Prozessautomatisierung fungiert, während Vibe Coding die agile Entwicklung individueller Lösungen demokratisiert. Im Vergleich zur Vorstudie 2024/2025 zeigt sich eine signifikante technologische Konkretisierung bei gleichzeitig gestiegenen Anforderungen an Governance und Qualitätssicherung. Die Untersuchung unterstreicht den Wandel hin zu agentischen Architekturen und betont die Notwendigkeit von Hybridwissen, um Effizienzgewinne mit Sicherheitsanforderungen in Einklang zu bringen.}, author = {Uphaus, Andreas and Kampe, Tim}, booktitle = {CARF Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. Luzern, 10.-11.09.}, keywords = {Digitalisierung, Künstliche Intelligenz, Automatisierung, Rechnungswesen, Finanzwesen}, location = {Luzern}, title = {{Agentic AI und Vibe Coding im Finanz- und Rechnungswesen: Anwendungsfälle, Chancen und Risiken für KMU und Familienunternehmen}}, year = {2026}, } @inproceedings{7157, author = {Schröder, Nadine and Schamp, Christina and Reutterer, Thomas}, location = {Berlin, Germany}, title = {{How Shopping Clubs Work: Differential Effects of Nudges Across the Customer Decision Journey }}, year = {2026}, } @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}, } @inproceedings{7153, author = {Schulze, Jan-Philipp and Wette, Philip}, booktitle = {Proceedings of the 31st IEEE International Conference on Emerging Technologies and Factory Automation}, location = {Västerås, Sweden}, publisher = {IEEE}, title = {{Online Reconfiguration of Smart Material Recovery Facilities using Mixed-Integer Linear Programming}}, 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{7135, abstract = {Die Transformation hin zu einer Circular Economy erfordert nicht nur neue Technologien und Geschäftsmodelle, sondern vor allem neues Wissen und praxisnahes Know-how. Unternehmen, Organisationen und Einzelpersonen stehen vor der Herausforderung, eigene Kompetenzen systematisch aufzubauen und diese an ihre individuellen Bedarfe anzupassen, vom ersten Einstieg bis hin zur strategischen Umsetzung. Die Qualifizierungsroadmap ist nicht nur ein reiner Lernpfad, sondern fungiert als praxisorientierter Leitfaden für Unternehmen, Organisationen und Einzelpersonen, die sich aktiv mit konkreten Themen, Handlungsfeldern und Umsetzungsmöglichkeiten im Bereich Circular Economy auseinandersetzen möchten. Darüber hinaus gibt die Roadmap Auskunft über vorhandene Qualifizierungsangebote und bietet Orientierung für einen sinnvollen und individuellen Aufbau sowie die flexible Kombination von Lerninhalten – abgestimmt auf die eigene Zielsetzung, das verfügbare Zeitbudget und den gewünschten Praxisbezug.}, author = {Diel, Leon and Remberg, Joy and Schwenzfeier-Hellkamp, Eva and Kolkmann, Beate and Schmidt, Kerstin and Penner, Anna and Kleinhans, Sarah and David, Friederike and Meyer, Rolf Olaf}, keywords = {Circular Economy, Qualifizierung, Weiterbildung, Roadmap, Orientierung}, publisher = {Hochschule Bielefeld}, title = {{Qualifizierungsroadmap - Wege zur Qualifizierung im Bereich Circular Economy}}, 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}, }